(TokenFeatureGenerator) Loading features...
[orth, base, ctag, synonym, hypernym-1, hypernym-2, hypernym-3, top4hyper-1, top4hyper-2, top4hyper-3, class, case, number, gender, pattern, prefix-1, prefix-2, prefix-3, prefix-4, suffix-1, suffix-2, suffix-3, suffix-4, all_alphanumeric, all_digits, all_letters, all_upper, has_upper_case, has_lower_case, has_symbol, has_digit, starts_with_upper_case, starts_with_lower_case, starts_with_symbol, starts_with_digit, is_number, no_alphanumeric, no_letters, struct, length, dict_person_first_nam, dict_person_last_nam, dict_country_nam, dict_city_nam, dict_road_nam, dict_person_prefix, dict_person_noun, dict_person_suffix, dict_road_prefix, dict_country_prefix, dict_trigger_int_bloc, dict_trigger_ext_bloc, dict_trigger_int_country, dict_trigger_ext_country, dict_trigger_int_district, dict_trigger_ext_district, dict_trigger_int_geogName, dict_trigger_ext_geogName, dict_trigger_int_orgName, dict_trigger_ext_orgName, dict_trigger_int_persName, dict_trigger_ext_persName, dict_trigger_int_region, dict_trigger_ext_region, dict_trigger_int_settlement, dict_trigger_ext_settlement, agr1, parenthesis, quotation, nospace]
Annotations to evaluate: ^nam$
***************************************** FOLD 1 *****************************************
2017-06-14 19:58:52,999 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100519.xml
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2017-06-14 19:58:53,329 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100634.xml
2017-06-14 19:58:53,387 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101169.xml
2017-06-14 19:58:53,447 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101178.xml
2017-06-14 19:58:53,481 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 7 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101186.xml
2017-06-14 19:58:53,528 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 8 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101242.xml
2017-06-14 19:58:53,553 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 9 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101275.xml
2017-06-14 19:58:53,609 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 10 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101303.xml
2017-06-14 19:58:53,640 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 11 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101310.xml
2017-06-14 19:58:53,662 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 12 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101393.xml
2017-06-14 19:58:53,703 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 13 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101397.xml
2017-06-14 19:58:53,715 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 14 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101416.xml
2017-06-14 19:58:53,738 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 15 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101431.xml
2017-06-14 19:58:53,785 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 16 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101462.xml
2017-06-14 19:58:53,806 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 17 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101476.xml
2017-06-14 19:58:53,811 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 18 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101495.xml
2017-06-14 19:58:53,825 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 19 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101518.xml
2017-06-14 19:58:53,887 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 20 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101546.xml
2017-06-14 19:58:53,934 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 21 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101570.xml
2017-06-14 19:58:53,974 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 22 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101579.xml
2017-06-14 19:58:54,022 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 23 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101598.xml
2017-06-14 19:58:54,078 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 24 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101603.xml
2017-06-14 19:58:54,124 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 25 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101639.xml
2017-06-14 19:58:54,194 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 26 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101792.xml
2017-06-14 19:58:54,214 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 27 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101875.xml
2017-06-14 19:58:54,236 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 28 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101899.xml
2017-06-14 19:58:54,272 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 29 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101910.xml
2017-06-14 19:58:54,296 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 30 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101938.xml
2017-06-14 19:58:54,327 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 31 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101945.xml
2017-06-14 19:58:54,366 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 32 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102016.xml
2017-06-14 19:58:54,400 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 33 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102032.xml
2017-06-14 19:58:54,430 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 34 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102045.xml
2017-06-14 19:58:54,454 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 35 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102076.xml
2017-06-14 19:58:54,468 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 36 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102077.xml
2017-06-14 19:58:54,484 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 37 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102102.xml
2017-06-14 19:58:54,506 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 38 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102105.xml
2017-06-14 19:58:54,519 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 39 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102118.xml
2017-06-14 19:58:54,556 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 40 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102140.xml
2017-06-14 19:58:54,589 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 41 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102149.xml
2017-06-14 19:58:54,608 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 42 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102155.xml
2017-06-14 19:58:54,630 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 43 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102160.xml
2017-06-14 19:58:54,657 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 44 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102221.xml
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2017-06-14 19:58:54,795 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 49 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102392.xml
2017-06-14 19:58:54,826 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 50 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102394.xml
2017-06-14 19:58:54,859 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 51 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102404.xml
2017-06-14 19:58:54,876 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 52 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102409.xml
2017-06-14 19:58:54,891 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 53 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102422.xml
2017-06-14 19:58:54,926 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 54 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102439.xml
2017-06-14 19:58:54,951 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 55 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102444.xml
2017-06-14 19:58:54,962 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 56 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102463.xml
2017-06-14 19:58:54,976 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 57 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102477.xml
2017-06-14 19:58:55,011 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 58 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102482.xml
2017-06-14 19:58:55,022 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 59 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102504.xml
2017-06-14 19:58:55,031 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 60 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102687.xml
2017-06-14 19:58:55,056 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 61 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103569.xml
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2017-06-14 19:58:55,181 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 64 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103916.xml
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2017-06-14 19:58:55,277 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 67 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107292.xml
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2017-06-14 19:58:55,348 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 71 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107348.xml
2017-06-14 19:58:55,369 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 72 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100508.xml
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2017-06-14 19:58:55,515 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 74 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100535.xml
2017-06-14 19:58:55,554 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 75 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100543.xml
2017-06-14 19:58:55,582 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 76 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101189.xml
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2017-06-14 19:58:55,730 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 81 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101262.xml
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2017-06-14 19:58:55,859 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 86 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101482.xml
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2017-06-14 19:59:08,511 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 431 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101750.xml
2017-06-14 19:59:08,546 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 432 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101760.xml
2017-06-14 19:59:08,570 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 433 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101765.xml
2017-06-14 19:59:08,611 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 434 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101788.xml
2017-06-14 19:59:08,650 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 435 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101871.xml
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2017-06-14 19:59:08,702 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 437 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101886.xml
2017-06-14 19:59:08,726 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 438 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101934.xml
2017-06-14 19:59:08,748 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 439 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102023.xml
2017-06-14 19:59:08,768 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 440 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102026.xml
2017-06-14 19:59:08,801 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 441 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102030.xml
2017-06-14 19:59:08,820 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 442 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102040.xml
2017-06-14 19:59:08,862 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 443 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102059.xml
2017-06-14 19:59:08,884 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 444 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102125.xml
2017-06-14 19:59:08,903 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 445 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102260.xml
2017-06-14 19:59:08,937 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 446 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102262.xml
2017-06-14 19:59:08,966 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 447 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102270.xml
2017-06-14 19:59:08,983 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 448 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102274.xml
2017-06-14 19:59:09,020 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 449 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102314.xml
2017-06-14 19:59:09,038 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 450 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102377.xml
2017-06-14 19:59:09,067 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 451 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102393.xml
2017-06-14 19:59:09,087 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 452 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102427.xml
2017-06-14 19:59:09,105 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 453 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102472.xml
2017-06-14 19:59:09,117 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 454 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102498.xml
2017-06-14 19:59:09,138 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 455 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102499.xml
2017-06-14 19:59:09,173 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 456 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102608.xml
2017-06-14 19:59:09,206 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 457 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102668.xml
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2017-06-14 19:59:09,301 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 461 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103634.xml
2017-06-14 19:59:09,334 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 462 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103678.xml
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2017-06-14 19:59:09,363 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 464 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103874.xml
2017-06-14 19:59:09,391 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 465 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103898.xml
2017-06-14 19:59:09,432 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 466 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103914.xml
2017-06-14 19:59:09,450 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 467 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103924.xml
2017-06-14 19:59:09,480 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 468 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103927.xml
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2017-06-14 19:59:10,151 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 494 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101542.xml
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2017-06-14 19:59:10,627 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 508 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102024.xml
2017-06-14 19:59:10,651 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 509 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102064.xml
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2017-06-14 19:59:10,731 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 513 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102353.xml
2017-06-14 19:59:10,790 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 514 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102355.xml
2017-06-14 19:59:10,825 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 515 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102419.xml
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2017-06-14 19:59:10,921 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 520 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102680.xml
2017-06-14 19:59:10,950 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 521 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102696.xml
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2017-06-14 19:59:10,975 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 523 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103574.xml
2017-06-14 19:59:11,013 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 524 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103588.xml
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2017-06-14 19:59:11,087 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 526 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103703.xml
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2017-06-14 19:59:11,286 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 534 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107248.xml
2017-06-14 19:59:11,331 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 535 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107253.xml
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2017-06-14 19:59:11,418 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 539 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107345.xml
2017-06-14 19:59:11,425 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 540 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100500.xml
2017-06-14 19:59:11,450 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 541 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100505.xml
2017-06-14 19:59:11,478 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 542 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100521.xml
2017-06-14 19:59:11,512 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 543 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100599.xml
2017-06-14 19:59:11,549 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 544 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100601.xml
2017-06-14 19:59:11,621 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 545 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100622.xml
2017-06-14 19:59:11,640 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 546 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101187.xml
2017-06-14 19:59:11,682 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 547 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101219.xml
2017-06-14 19:59:11,713 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 548 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101227.xml
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2017-06-14 19:59:11,765 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 550 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101236.xml
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2017-06-14 19:59:11,850 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 553 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101280.xml
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2017-06-14 19:59:11,897 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 555 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101305.xml
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2017-06-14 19:59:11,956 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 558 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101390.xml
2017-06-14 19:59:11,971 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 559 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101405.xml
2017-06-14 19:59:11,986 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 560 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101438.xml
2017-06-14 19:59:12,011 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 561 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101456.xml
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2017-06-14 19:59:12,041 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 563 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101516.xml
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2017-06-14 19:59:12,331 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 571 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101749.xml
2017-06-14 19:59:12,352 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 572 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101766.xml
2017-06-14 19:59:12,387 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 573 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101816.xml
2017-06-14 19:59:12,777 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 574 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101841.xml
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2017-06-14 19:59:12,878 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 578 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101936.xml
2017-06-14 19:59:12,907 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 579 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101961.xml
2017-06-14 19:59:12,937 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 580 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102017.xml
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2017-06-14 19:59:13,006 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 582 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102036.xml
2017-06-14 19:59:13,025 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 583 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102044.xml
2017-06-14 19:59:13,043 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 584 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102087.xml
2017-06-14 19:59:13,050 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 585 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102152.xml
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2017-06-14 19:59:13,184 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 590 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102412.xml
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2017-06-14 19:59:13,225 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 592 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102485.xml
2017-06-14 19:59:13,230 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 593 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102693.xml
2017-06-14 19:59:13,264 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 594 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102710.xml
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2017-06-14 19:59:13,476 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 603 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103876.xml
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2017-06-14 19:59:13,545 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 605 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107241.xml
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2017-06-14 19:59:13,573 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 607 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107297.xml
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2017-06-14 19:59:13,627 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 609 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107362.xml
2017-06-14 19:59:13,639 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100527.xml
2017-06-14 19:59:13,665 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 2 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100531.xml
2017-06-14 19:59:13,682 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 3 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101201.xml
2017-06-14 19:59:13,704 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101234.xml
2017-06-14 19:59:13,745 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101263.xml
2017-06-14 19:59:13,787 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101276.xml
2017-06-14 19:59:13,800 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 7 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101294.xml
2017-06-14 19:59:13,834 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 8 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101306.xml
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2017-06-14 19:59:13,912 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 11 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101392.xml
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2017-06-14 19:59:13,993 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 15 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101414.xml
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2017-06-14 19:59:14,112 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 23 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101560.xml
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2017-06-14 19:59:14,259 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 27 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101615.xml
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2017-06-14 19:59:14,485 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 34 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102109.xml
2017-06-14 19:59:14,507 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 35 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102141.xml
2017-06-14 19:59:14,543 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 36 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102166.xml
2017-06-14 19:59:14,561 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 37 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102354.xml
2017-06-14 19:59:14,598 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 38 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102438.xml
2017-06-14 19:59:14,606 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 39 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102509.xml
2017-06-14 19:59:14,622 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 40 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102512.xml
2017-06-14 19:59:14,652 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 41 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102602.xml
2017-06-14 19:59:14,675 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 42 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102677.xml
2017-06-14 19:59:14,690 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 43 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102685.xml
2017-06-14 19:59:14,694 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 44 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102689.xml
2017-06-14 19:59:14,734 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 45 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102702.xml
2017-06-14 19:59:14,746 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 46 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102707.xml
2017-06-14 19:59:14,768 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 47 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102715.xml
2017-06-14 19:59:14,774 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 48 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103567.xml
2017-06-14 19:59:14,813 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 49 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103570.xml
2017-06-14 19:59:14,858 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 50 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103581.xml
2017-06-14 19:59:14,890 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 51 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103594.xml
2017-06-14 19:59:14,902 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 52 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103746.xml
2017-06-14 19:59:14,911 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 53 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103872.xml
2017-06-14 19:59:14,937 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 54 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103875.xml
2017-06-14 19:59:14,955 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 55 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103895.xml
2017-06-14 19:59:14,964 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 56 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103900.xml
2017-06-14 19:59:14,994 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 57 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103915.xml
2017-06-14 19:59:15,013 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 58 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103937.xml
2017-06-14 19:59:15,050 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 59 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103938.xml
2017-06-14 19:59:15,071 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 60 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103945.xml
2017-06-14 19:59:15,092 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 61 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103956.xml
2017-06-14 19:59:15,126 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 62 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107245.xml
2017-06-14 19:59:15,146 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 63 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107269.xml
2017-06-14 19:59:15,155 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 64 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107306.xml
2017-06-14 19:59:15,182 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 65 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107313.xml
2017-06-14 19:59:15,196 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 66 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107320.xml
2017-06-14 19:59:15,214 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 67 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107321.xml
2017-06-14 19:59:15,227 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 68 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107329.xml
2017-06-14 19:59:15,241 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 69 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107334.xml
2017-06-14 19:59:15,254 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 70 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107347.xml
2017-06-14 19:59:15,269 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 71 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107351.xml
-> Setting up chunker: chunker_c1
(TokenFeatureGenerator) Loading features...
[orth, base, ctag, synonym, hypernym-1, hypernym-2, hypernym-3, top4hyper-1, top4hyper-2, top4hyper-3, class, case, number, gender, pattern, prefix-1, prefix-2, prefix-3, prefix-4, suffix-1, suffix-2, suffix-3, suffix-4, all_alphanumeric, all_digits, all_letters, all_upper, has_upper_case, has_lower_case, has_symbol, has_digit, starts_with_upper_case, starts_with_lower_case, starts_with_symbol, starts_with_digit, is_number, no_alphanumeric, no_letters, struct, length, dict_person_first_nam, dict_person_last_nam, dict_country_nam, dict_city_nam, dict_road_nam, dict_person_prefix, dict_person_noun, dict_person_suffix, dict_road_prefix, dict_country_prefix, dict_trigger_int_bloc, dict_trigger_ext_bloc, dict_trigger_int_country, dict_trigger_ext_country, dict_trigger_int_district, dict_trigger_ext_district, dict_trigger_int_geogName, dict_trigger_ext_geogName, dict_trigger_int_orgName, dict_trigger_ext_orgName, dict_trigger_int_persName, dict_trigger_ext_persName, dict_trigger_int_region, dict_trigger_ext_region, dict_trigger_int_settlement, dict_trigger_ext_settlement, agr1, parenthesis, quotation, nospace]
--> CRFPP Chunker train
--> Training on file={CV_TRAIN}
(TemplateFactory) parsing template: /home/czuk/nlp/eclipse/workspace_liner2/liner2_master/../models-workdir/liner2.5/liner25_model_ner_kpwr12/ini/template-jrip.txt
(TemplateFactory) Adding feature:orth:-2:-1:0:1:2
(TemplateFactory) feature:orth:-2:-1:0:1:2
(TemplateFactory) Adding feature:base:-2:-1:0:1:2
(TemplateFactory) feature:base:-2:-1:0:1:2
(TemplateFactory) Adding feature:synonym:-2:-1:0:1:2
(TemplateFactory) feature:synonym:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-1:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-2:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-2:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-3:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:class:-1:0:1
(TemplateFactory) feature:class:-1:0:1
(TemplateFactory) Adding feature:case:0
(TemplateFactory) feature:case:0
(TemplateFactory) Adding feature:gender:-2:-1:0:1:2
(TemplateFactory) feature:gender:-2:-1:0:1:2
(TemplateFactory) Adding feature:pattern:0
(TemplateFactory) feature:pattern:0
(TemplateFactory) Adding feature:prefix-1:-2:-1:0:1:2
(TemplateFactory) feature:prefix-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:prefix-3:-2:-1:0:1:2
(TemplateFactory) feature:prefix-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:prefix-4:-2:-1:0:1:2
(TemplateFactory) feature:prefix-4:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-1:-2:-1:0:1:2
(TemplateFactory) feature:suffix-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-2:-2:-1:0:1:2
(TemplateFactory) feature:suffix-2:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-3:-2:-1:0:1:2
(TemplateFactory) feature:suffix-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-4:-2:-1:0:1:2
(TemplateFactory) feature:suffix-4:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_upper_case:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_upper_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_lower_case:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_lower_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_symbol:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_symbol:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_digit:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_digit:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_upper_case:-2:-1:0:1:2
(TemplateFactory) feature:has_upper_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_lower_case:-2:-1:0:1:2
(TemplateFactory) feature:has_lower_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_symbol:-2:-1:0:1:2
(TemplateFactory) feature:has_symbol:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_digit:-2:-1:0:1:2
(TemplateFactory) feature:has_digit:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_first_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_first_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_last_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_last_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_country_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_country_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_city_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_city_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_road_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_road_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_noun:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_noun:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_suffix:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_suffix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_road_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_road_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_country_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_country_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:base:-4/dict_person_first_nam:-3/dict_person_last_nam:-2/base:-1/dict_person_last_nam:0
(TemplateFactory) feature:base:-4/dict_person_first_nam:-3/dict_person_last_nam:-2/base:-1/dict_person_last_nam:0
(TemplateFactory) Adding feature:dict_trigger_int_bloc:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_bloc:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_bloc:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_bloc:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_country:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_country:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_country:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_country:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_district:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_district:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_district:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_district:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_geogName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_geogName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_geogName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_geogName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_orgName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_orgName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_orgName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_orgName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_persName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_persName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_persName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_persName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_region:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_region:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_region:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_region:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_settlement:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_settlement:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_settlement:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_settlement:-2:-1:0:1:2
(TemplateFactory) Adding feature:agr1:-2:-1:0:1:2
(TemplateFactory) feature:agr1:-2:-1:0:1:2
(TemplateFactory) Adding feature:nospace:-2:-1:0:1:2
(TemplateFactory) feature:nospace:-2:-1:0:1:2
(TemplateFactory) Adding feature:parenthesis:-2:-1:0:1:2
(TemplateFactory) feature:parenthesis:-2:-1:0:1:2
(TemplateFactory) Adding feature:quotation:-2:-1:0:1:2
(TemplateFactory) feature:quotation:-2:-1:0:1:2
(TemplateFactory) Adding feature:length:-2:-1:0:1:2
(TemplateFactory) feature:length:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_upper_case:0/agr1:-1/pattern:2/has_upper_case:-1/case:0/number:-1
(TemplateFactory) feature:has_upper_case:0/agr1:-1/pattern:2/has_upper_case:-1/case:0/number:-1
(TemplateFactory) Adding feature:has_upper_case:0/all_digits:-1/all_upper:-2/length:1/nospace:1
(TemplateFactory) feature:has_upper_case:0/all_digits:-1/all_upper:-2/length:1/nospace:1
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/ctag:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/ctag:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/has_upper_case:1
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/has_upper_case:1
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/agr1:1/pattern:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/agr1:1/pattern:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/class:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/class:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/starts_with_digit:-2/starts_with_lower_case:1/case:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/starts_with_digit:-2/starts_with_lower_case:1/case:0
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/has_upper_case:1
(TemplateFactory) feature:has_upper_case:0/ctag:0/has_upper_case:1
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/parenthesis:0/class:2/agr1:2
(TemplateFactory) feature:has_upper_case:0/ctag:0/parenthesis:0/class:2/agr1:2
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/suffix-1:0
(TemplateFactory) feature:has_upper_case:0/ctag:0/suffix-1:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/all_upper:-2/all_alphanumeric:2/starts_with_lower_case:2/all_alphanumeric:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/all_upper:-2/all_alphanumeric:2/starts_with_lower_case:2/all_alphanumeric:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_digit:-2/has_lower_case:0/nospace:-1/nospace:-2/ctag:-1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_digit:-2/has_lower_case:0/nospace:-1/nospace:-2/ctag:-1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-1/all_alphanumeric:2/class:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-1/all_alphanumeric:2/class:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/all_letters:-1/ctag:0/all_alphanumeric:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/all_letters:-1/ctag:0/all_alphanumeric:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/length:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/length:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/starts_with_lower_case:1/orth:-1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/starts_with_lower_case:1/orth:-1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/pattern:-1/class:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/pattern:-1/class:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/pattern:1/parenthesis:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/pattern:1/parenthesis:0
(TemplateFactory) Adding feature:has_upper_case:0/starts_with_lower_case:1/case:0/orth:2
(TemplateFactory) feature:has_upper_case:0/starts_with_lower_case:1/case:0/orth:2
(TemplateFactory) Adding feature:has_upper_case:0/starts_with_lower_case:1/case:0/pattern:1/agr1:1/gender:0
(TemplateFactory) feature:has_upper_case:0/starts_with_lower_case:1/case:0/pattern:1/agr1:1/gender:0
(TemplateFactory) Adding feature:has_upper_case:-1/has_upper_case:0/nospace:-2/pattern:0
(TemplateFactory) feature:has_upper_case:-1/has_upper_case:0/nospace:-2/pattern:0
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/all_letters:1/orth:0/starts_with_lower_case:-2
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/all_letters:1/orth:0/starts_with_lower_case:-2
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/orth:0/nospace:-1
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/orth:0/nospace:-1
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/parenthesis:-2/class:-2/orth:-1
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/parenthesis:-2/class:-2/orth:-1
(TemplateFactory) Adding feature:has_upper_case:-2/has_upper_case:0/orth:-1/nospace:-2
(TemplateFactory) feature:has_upper_case:-2/has_upper_case:0/orth:-1/nospace:-2
(TemplateFactory) Adding feature:has_upper_case:-2/starts_with_upper_case:0/orth:-1
(TemplateFactory) feature:has_upper_case:-2/starts_with_upper_case:0/orth:-1
(TemplateFactory) Adding feature:starts_with_lower_case:-1/has_upper_case:0/case:-1/case:2
(TemplateFactory) feature:starts_with_lower_case:-1/has_upper_case:0/case:-1/case:2
(TemplateFactory) Adding feature:starts_with_lower_case:-1/has_upper_case:0/pattern:-1/ctag:-1/pattern:0
(TemplateFactory) feature:starts_with_lower_case:-1/has_upper_case:0/pattern:-1/ctag:-1/pattern:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_lower_case:-1/all_letters:-1/parenthesis:-2/pattern:1/length:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_lower_case:-1/all_letters:-1/parenthesis:-2/pattern:1/length:0
(TemplateFactory) Adding feature:starts_with_lower_case:-1/starts_with_upper_case:0/class:-1/agr1:0/gender:-1
(TemplateFactory) feature:starts_with_lower_case:-1/starts_with_upper_case:0/class:-1/agr1:0/gender:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/class:-2/no_letters:0/length:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/class:-2/no_letters:0/length:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/agr1:-2/ctag:-2
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/agr1:-2/ctag:-2
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/case:-1/ctag:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/case:-1/ctag:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/ctag:-2/struct:-2
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/ctag:-2/struct:-2
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/quotation:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/quotation:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/pattern:0/length:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/pattern:0/length:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/starts_with_upper_case:0/length:-1/ctag:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/starts_with_upper_case:0/length:-1/ctag:-1
(TemplateFactory) Adding feature:starts_with_upper_case:0/agr1:-1/gender:0/number:0
(TemplateFactory) feature:starts_with_upper_case:0/agr1:-1/gender:0/number:0
(TemplateFactory) Adding feature:starts_with_upper_case:0/agr1:-1/orth:-1/class:-2
(TemplateFactory) feature:starts_with_upper_case:0/agr1:-1/orth:-1/class:-2
(TemplateFactory) Adding feature:starts_with_upper_case:0/class:0/gender:0/prefix-1:0/all_alphanumeric:1
(TemplateFactory) feature:starts_with_upper_case:0/class:0/gender:0/prefix-1:0/all_alphanumeric:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/class:0/starts_with_lower_case:1/struct:2/agr1:1
(TemplateFactory) feature:starts_with_upper_case:0/class:0/starts_with_lower_case:1/struct:2/agr1:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/ctag:0/parenthesis:0/class:1
(TemplateFactory) feature:starts_with_upper_case:0/ctag:0/parenthesis:0/class:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/dict_person_first_nam:-1/class:0/parenthesis:2/ctag:0
(TemplateFactory) feature:starts_with_upper_case:0/dict_person_first_nam:-1/class:0/parenthesis:2/ctag:0
(TemplateFactory) Adding feature:starts_with_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/has_digit:-2/gender:1
(TemplateFactory) feature:starts_with_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/has_digit:-2/gender:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/starts_with_lower_case:1/case:0/suffix-2:1
(TemplateFactory) feature:starts_with_upper_case:0/starts_with_lower_case:1/case:0/suffix-2:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/starts_with_lower_case:1/pattern:1/length:2/nospace:1/case:0/ctag:2
(TemplateFactory) feature:starts_with_upper_case:0/starts_with_lower_case:1/pattern:1/length:2/nospace:1/case:0/ctag:2
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_lower_case:1/all_digits:-2/has_upper_case:1/orth:0
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_lower_case:1/all_digits:-2/has_upper_case:1/orth:0
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_lower_case:1/starts_with_upper_case:0/nospace:2/gender:-1
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_lower_case:1/starts_with_upper_case:0/nospace:2/gender:-1
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/agr1:1/has_lower_case:2
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/agr1:1/has_lower_case:2
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/nospace:0
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/nospace:0
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/pattern:2/suffix-1:-1
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/pattern:2/suffix-1:-1
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Training CRF classifer using features:
orth[-2]
orth[-1]
orth[0]
orth[1]
orth[2]
base[-2]
base[-1]
base[0]
base[1]
base[2]
synonym[-2]
synonym[-1]
synonym[0]
synonym[1]
synonym[2]
hypernym-1[-2]
hypernym-1[-1]
hypernym-1[0]
hypernym-1[1]
hypernym-1[2]
hypernym-2[-2]
hypernym-2[-1]
hypernym-2[0]
hypernym-2[1]
hypernym-2[2]
hypernym-3[-2]
hypernym-3[-1]
hypernym-3[0]
hypernym-3[1]
hypernym-3[2]
class[-1]
class[0]
class[1]
case[0]
gender[-2]
gender[-1]
gender[0]
gender[1]
gender[2]
pattern[0]
prefix-1[-2]
prefix-1[-1]
prefix-1[0]
prefix-1[1]
prefix-1[2]
prefix-3[-2]
prefix-3[-1]
prefix-3[0]
prefix-3[1]
prefix-3[2]
prefix-4[-2]
prefix-4[-1]
prefix-4[0]
prefix-4[1]
prefix-4[2]
suffix-1[-2]
suffix-1[-1]
suffix-1[0]
suffix-1[1]
suffix-1[2]
suffix-2[-2]
suffix-2[-1]
suffix-2[0]
suffix-2[1]
suffix-2[2]
suffix-3[-2]
suffix-3[-1]
suffix-3[0]
suffix-3[1]
suffix-3[2]
suffix-4[-2]
suffix-4[-1]
suffix-4[0]
suffix-4[1]
suffix-4[2]
starts_with_upper_case[-2]
starts_with_upper_case[-1]
starts_with_upper_case[0]
starts_with_upper_case[1]
starts_with_upper_case[2]
starts_with_lower_case[-2]
starts_with_lower_case[-1]
starts_with_lower_case[0]
starts_with_lower_case[1]
starts_with_lower_case[2]
starts_with_symbol[-2]
starts_with_symbol[-1]
starts_with_symbol[0]
starts_with_symbol[1]
starts_with_symbol[2]
starts_with_digit[-2]
starts_with_digit[-1]
starts_with_digit[0]
starts_with_digit[1]
starts_with_digit[2]
has_upper_case[-2]
has_upper_case[-1]
has_upper_case[0]
has_upper_case[1]
has_upper_case[2]
has_lower_case[-2]
has_lower_case[-1]
has_lower_case[0]
has_lower_case[1]
has_lower_case[2]
has_symbol[-2]
has_symbol[-1]
has_symbol[0]
has_symbol[1]
has_symbol[2]
has_digit[-2]
has_digit[-1]
has_digit[0]
has_digit[1]
has_digit[2]
dict_person_first_nam[-2]
dict_person_first_nam[-1]
dict_person_first_nam[0]
dict_person_first_nam[1]
dict_person_first_nam[2]
dict_person_last_nam[-2]
dict_person_last_nam[-1]
dict_person_last_nam[0]
dict_person_last_nam[1]
dict_person_last_nam[2]
dict_country_nam[-2]
dict_country_nam[-1]
dict_country_nam[0]
dict_country_nam[1]
dict_country_nam[2]
dict_city_nam[-2]
dict_city_nam[-1]
dict_city_nam[0]
dict_city_nam[1]
dict_city_nam[2]
dict_road_nam[-2]
dict_road_nam[-1]
dict_road_nam[0]
dict_road_nam[1]
dict_road_nam[2]
dict_person_prefix[-2]
dict_person_prefix[-1]
dict_person_prefix[0]
dict_person_prefix[1]
dict_person_prefix[2]
dict_person_noun[-2]
dict_person_noun[-1]
dict_person_noun[0]
dict_person_noun[1]
dict_person_noun[2]
dict_person_suffix[-2]
dict_person_suffix[-1]
dict_person_suffix[0]
dict_person_suffix[1]
dict_person_suffix[2]
dict_road_prefix[-2]
dict_road_prefix[-1]
dict_road_prefix[0]
dict_road_prefix[1]
dict_road_prefix[2]
dict_country_prefix[-2]
dict_country_prefix[-1]
dict_country_prefix[0]
dict_country_prefix[1]
dict_country_prefix[2]
base[-4]_dict_person_first_nam[-3]_dict_person_last_nam[-2]_base[-1]_dict_person_last_nam[0]
dict_trigger_int_bloc[-2]
dict_trigger_int_bloc[-1]
dict_trigger_int_bloc[0]
dict_trigger_int_bloc[1]
dict_trigger_int_bloc[2]
dict_trigger_ext_bloc[-2]
dict_trigger_ext_bloc[-1]
dict_trigger_ext_bloc[0]
dict_trigger_ext_bloc[1]
dict_trigger_ext_bloc[2]
dict_trigger_int_country[-2]
dict_trigger_int_country[-1]
dict_trigger_int_country[0]
dict_trigger_int_country[1]
dict_trigger_int_country[2]
dict_trigger_ext_country[-2]
dict_trigger_ext_country[-1]
dict_trigger_ext_country[0]
dict_trigger_ext_country[1]
dict_trigger_ext_country[2]
dict_trigger_int_district[-2]
dict_trigger_int_district[-1]
dict_trigger_int_district[0]
dict_trigger_int_district[1]
dict_trigger_int_district[2]
dict_trigger_ext_district[-2]
dict_trigger_ext_district[-1]
dict_trigger_ext_district[0]
dict_trigger_ext_district[1]
dict_trigger_ext_district[2]
dict_trigger_int_geogName[-2]
dict_trigger_int_geogName[-1]
dict_trigger_int_geogName[0]
dict_trigger_int_geogName[1]
dict_trigger_int_geogName[2]
dict_trigger_ext_geogName[-2]
dict_trigger_ext_geogName[-1]
dict_trigger_ext_geogName[0]
dict_trigger_ext_geogName[1]
dict_trigger_ext_geogName[2]
dict_trigger_int_orgName[-2]
dict_trigger_int_orgName[-1]
dict_trigger_int_orgName[0]
dict_trigger_int_orgName[1]
dict_trigger_int_orgName[2]
dict_trigger_ext_orgName[-2]
dict_trigger_ext_orgName[-1]
dict_trigger_ext_orgName[0]
dict_trigger_ext_orgName[1]
dict_trigger_ext_orgName[2]
dict_trigger_int_persName[-2]
dict_trigger_int_persName[-1]
dict_trigger_int_persName[0]
dict_trigger_int_persName[1]
dict_trigger_int_persName[2]
dict_trigger_ext_persName[-2]
dict_trigger_ext_persName[-1]
dict_trigger_ext_persName[0]
dict_trigger_ext_persName[1]
dict_trigger_ext_persName[2]
dict_trigger_int_region[-2]
dict_trigger_int_region[-1]
dict_trigger_int_region[0]
dict_trigger_int_region[1]
dict_trigger_int_region[2]
dict_trigger_ext_region[-2]
dict_trigger_ext_region[-1]
dict_trigger_ext_region[0]
dict_trigger_ext_region[1]
dict_trigger_ext_region[2]
dict_trigger_int_settlement[-2]
dict_trigger_int_settlement[-1]
dict_trigger_int_settlement[0]
dict_trigger_int_settlement[1]
dict_trigger_int_settlement[2]
dict_trigger_ext_settlement[-2]
dict_trigger_ext_settlement[-1]
dict_trigger_ext_settlement[0]
dict_trigger_ext_settlement[1]
dict_trigger_ext_settlement[2]
agr1[-2]
agr1[-1]
agr1[0]
agr1[1]
agr1[2]
nospace[-2]
nospace[-1]
nospace[0]
nospace[1]
nospace[2]
parenthesis[-2]
parenthesis[-1]
parenthesis[0]
parenthesis[1]
parenthesis[2]
quotation[-2]
quotation[-1]
quotation[0]
quotation[1]
quotation[2]
length[-2]
length[-1]
length[0]
length[1]
length[2]
has_upper_case[0]_agr1[-1]_pattern[2]_has_upper_case[-1]_case[0]_number[-1]
has_upper_case[0]_all_digits[-1]_all_upper[-2]_length[1]_nospace[1]
has_upper_case[0]_all_upper[-1]_pattern[-1]_ctag[0]
has_upper_case[0]_all_upper[-1]_pattern[-1]_has_upper_case[1]
has_upper_case[0]_all_upper[-1]_pattern[-1]_pattern[-2]_agr1[1]_pattern[0]
has_upper_case[0]_all_upper[-1]_pattern[-1]_pattern[-2]_class[0]
has_upper_case[0]_all_upper[-1]_starts_with_digit[-2]_starts_with_lower_case[1]_case[0]
has_upper_case[0]_ctag[0]_has_upper_case[1]
has_upper_case[0]_ctag[0]_parenthesis[0]_class[2]_agr1[2]
has_upper_case[0]_ctag[0]_suffix-1[0]
has_upper_case[0]_dict_person_first_nam[-1]_all_upper[-2]_all_alphanumeric[2]_starts_with_lower_case[2]_all_alphanumeric[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_digit[-2]_has_lower_case[0]_nospace[-1]_nospace[-2]_ctag[-1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-1]_all_alphanumeric[2]_class[0]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[2]_all_letters[-1]_ctag[0]_all_alphanumeric[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-2]_length[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-2]_starts_with_lower_case[1]_orth[-1]
has_upper_case[0]_dict_person_first_nam[-1]_pattern[-1]_class[0]
has_upper_case[0]_dict_person_first_nam[-1]_pattern[1]_parenthesis[0]
has_upper_case[0]_starts_with_lower_case[1]_case[0]_orth[2]
has_upper_case[0]_starts_with_lower_case[1]_case[0]_pattern[1]_agr1[1]_gender[0]
has_upper_case[-1]_has_upper_case[0]_nospace[-2]_pattern[0]
has_upper_case[-1]_starts_with_lower_case[1]_all_letters[1]_orth[0]_starts_with_lower_case[-2]
has_upper_case[-1]_starts_with_lower_case[1]_orth[0]_nospace[-1]
has_upper_case[-1]_starts_with_lower_case[1]_parenthesis[-2]_class[-2]_orth[-1]
has_upper_case[-2]_has_upper_case[0]_orth[-1]_nospace[-2]
has_upper_case[-2]_starts_with_upper_case[0]_orth[-1]
starts_with_lower_case[-1]_has_upper_case[0]_case[-1]_case[2]
starts_with_lower_case[-1]_has_upper_case[0]_pattern[-1]_ctag[-1]_pattern[0]
starts_with_lower_case[1]_starts_with_lower_case[-1]_all_letters[-1]_parenthesis[-2]_pattern[1]_length[0]
starts_with_lower_case[-1]_starts_with_upper_case[0]_class[-1]_agr1[0]_gender[-1]
starts_with_lower_case[1]_starts_with_upper_case[-1]_class[-2]_no_letters[0]_length[0]
starts_with_lower_case[1]_starts_with_upper_case[-1]_parenthesis[-2]_agr1[-2]_ctag[-2]
starts_with_lower_case[1]_starts_with_upper_case[-1]_parenthesis[-2]_case[-1]_ctag[0]
starts_with_lower_case[1]_starts_with_upper_case[-2]_agr1[-2]_ctag[-2]_struct[-2]
starts_with_lower_case[1]_starts_with_upper_case[-2]_agr1[-2]_quotation[-1]
starts_with_lower_case[1]_starts_with_upper_case[-2]_pattern[0]_length[-1]
starts_with_lower_case[1]_starts_with_upper_case[-2]_starts_with_upper_case[0]_length[-1]_ctag[-1]
starts_with_upper_case[0]_agr1[-1]_gender[0]_number[0]
starts_with_upper_case[0]_agr1[-1]_orth[-1]_class[-2]
starts_with_upper_case[0]_class[0]_gender[0]_prefix-1[0]_all_alphanumeric[1]
starts_with_upper_case[0]_class[0]_starts_with_lower_case[1]_struct[2]_agr1[1]
starts_with_upper_case[0]_ctag[0]_parenthesis[0]_class[1]
starts_with_upper_case[0]_dict_person_first_nam[-1]_class[0]_parenthesis[2]_ctag[0]
starts_with_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[2]_has_digit[-2]_gender[1]
starts_with_upper_case[0]_starts_with_lower_case[1]_case[0]_suffix-2[1]
starts_with_upper_case[0]_starts_with_lower_case[1]_pattern[1]_length[2]_nospace[1]_case[0]_ctag[2]
starts_with_upper_case[-1]_starts_with_lower_case[1]_all_digits[-2]_has_upper_case[1]_orth[0]
starts_with_upper_case[-1]_starts_with_lower_case[1]_starts_with_upper_case[0]_nospace[2]_gender[-1]
starts_with_upper_case[-1]_starts_with_upper_case[0]_all_upper[-2]_agr1[1]_has_lower_case[2]
starts_with_upper_case[-1]_starts_with_upper_case[0]_all_upper[-2]_nospace[0]
starts_with_upper_case[-1]_starts_with_upper_case[0]_pattern[2]_suffix-1[-1]

CRF++: Yet Another CRF Tool Kit
Copyright (C) 2005-2012 Taku Kudo, All rights reserved.

reading training data: 100.. 200.. 300.. 400.. 500.. 600.. 700.. 800.. 900.. 1000.. 1100.. 1200.. 1300.. 1400.. 1500.. 1600.. 1700.. 1800.. 1900.. 2000.. 2100.. 2200.. 2300.. 2400.. 2500.. 2600.. 2700.. 2800.. 2900.. 3000.. 3100.. 3200.. 3300.. 3400.. 3500.. 3600.. 3700.. 3800.. 3900.. 4000.. 4100.. 4200.. 4300.. 4400.. 4500.. 4600.. 4700.. 4800.. 4900.. 5000.. 5100.. 5200.. 5300.. 5400.. 5500.. 5600.. 5700.. 5800.. 5900.. 6000.. 6100.. 6200.. 6300.. 6400.. 6500.. 6600.. 6700.. 6800.. 6900.. 7000.. 7100.. 7200.. 7300.. 7400.. 7500.. 7600.. 7700.. 7800.. 7900.. 8000.. 8100.. 8200.. 8300.. 8400.. 8500.. 8600.. 8700.. 8800.. 8900.. 9000.. 9100.. 9200.. 9300.. 9400.. 
Done!37.20 s

Number of sentences: 9447
Number of features:  929136
Number of thread(s): 7
Freq:                5
eta:                 0.00010
C:                   1.00000
shrinking size:      20
iter=0 terr=0.94725 serr=0.99757 act=929136 obj=171194.55572 diff=1.00000
iter=1 terr=0.09129 serr=0.44956 act=929136 obj=205294.24959 diff=0.19919
iter=2 terr=0.09129 serr=0.44956 act=929136 obj=72635.76578 diff=0.64619
iter=3 terr=0.09129 serr=0.44956 act=929136 obj=65542.02444 diff=0.09766
iter=4 terr=0.87468 serr=0.96994 act=929136 obj=208043.47436 diff=2.17420
iter=5 terr=0.09129 serr=0.44956 act=929136 obj=54146.13445 diff=0.73974
iter=6 terr=0.09129 serr=0.44956 act=929136 obj=53477.82606 diff=0.01234
iter=7 terr=0.09129 serr=0.44956 act=929136 obj=50802.74561 diff=0.05002
iter=8 terr=0.09129 serr=0.44956 act=929136 obj=48277.53986 diff=0.04971
iter=9 terr=0.08730 serr=0.43612 act=929136 obj=40360.68597 diff=0.16399
iter=10 terr=0.05873 serr=0.38552 act=929136 obj=32081.00067 diff=0.20514
iter=11 terr=0.04189 serr=0.31428 act=929136 obj=26305.56000 diff=0.18003
iter=12 terr=0.03900 serr=0.27300 act=929136 obj=22268.00739 diff=0.15349
iter=13 terr=0.03767 serr=0.26760 act=929136 obj=21426.81883 diff=0.03778
iter=14 terr=0.03768 serr=0.26675 act=929136 obj=20656.79621 diff=0.03594
iter=15 terr=0.03763 serr=0.26347 act=929136 obj=20092.37413 diff=0.02732
iter=16 terr=0.03730 serr=0.25606 act=929136 obj=19309.39561 diff=0.03897
iter=17 terr=0.05640 serr=0.39843 act=929136 obj=25221.91348 diff=0.30620
iter=18 terr=0.03698 serr=0.25437 act=929136 obj=18771.02660 diff=0.25577
iter=19 terr=0.03650 serr=0.24876 act=929136 obj=18172.10422 diff=0.03191
iter=20 terr=0.03563 serr=0.24442 act=929136 obj=17657.96830 diff=0.02829
iter=21 terr=0.03483 serr=0.24124 act=929136 obj=16993.60698 diff=0.03762
iter=22 terr=0.03492 serr=0.24039 act=929136 obj=16621.18748 diff=0.02192
iter=23 terr=0.03394 serr=0.23637 act=929136 obj=15421.64306 diff=0.07217
iter=24 terr=0.04069 serr=0.27755 act=929136 obj=16011.45105 diff=0.03825
iter=25 terr=0.03476 serr=0.23955 act=929136 obj=14806.56055 diff=0.07525
iter=26 terr=0.03297 serr=0.23489 act=929136 obj=14092.51963 diff=0.04822
iter=27 terr=0.03307 serr=0.24389 act=929136 obj=13536.40075 diff=0.03946
iter=28 terr=0.03245 serr=0.24092 act=929136 obj=13178.28803 diff=0.02646
iter=29 terr=0.03157 serr=0.23256 act=929136 obj=12669.77537 diff=0.03859
iter=30 terr=0.03100 serr=0.22081 act=929136 obj=12020.44408 diff=0.05125
iter=31 terr=0.03007 serr=0.21541 act=929136 obj=11464.84014 diff=0.04622
iter=32 terr=0.02935 serr=0.21150 act=929136 obj=11076.53130 diff=0.03387
iter=33 terr=0.02895 serr=0.21255 act=929136 obj=10794.66806 diff=0.02545
iter=34 terr=0.02874 serr=0.21224 act=929136 obj=10512.74097 diff=0.02612
iter=35 terr=0.02827 serr=0.20980 act=929136 obj=10387.58878 diff=0.01190
iter=36 terr=0.02797 serr=0.20927 act=929136 obj=10295.69144 diff=0.00885
iter=37 terr=0.02749 serr=0.20779 act=929136 obj=10049.29636 diff=0.02393
iter=38 terr=0.02603 serr=0.20059 act=929136 obj=9636.79400 diff=0.04105
iter=39 terr=0.02462 serr=0.19435 act=929136 obj=9154.47105 diff=0.05005
iter=40 terr=0.05167 serr=0.23806 act=929136 obj=12882.61755 diff=0.40725
iter=41 terr=0.02459 serr=0.19107 act=929136 obj=9040.74662 diff=0.29822
iter=42 terr=0.02310 serr=0.18143 act=929136 obj=8587.44229 diff=0.05014
iter=43 terr=0.02328 serr=0.18302 act=929136 obj=8294.29896 diff=0.03414
iter=44 terr=0.02273 serr=0.17762 act=929136 obj=8108.91236 diff=0.02235
iter=45 terr=0.02254 serr=0.17138 act=929136 obj=7985.82332 diff=0.01518
iter=46 terr=0.02231 serr=0.16862 act=929136 obj=7784.50335 diff=0.02521
iter=47 terr=0.02196 serr=0.16926 act=929136 obj=7639.53483 diff=0.01862
iter=48 terr=0.02191 serr=0.17011 act=929136 obj=7513.14613 diff=0.01654
iter=49 terr=0.02150 serr=0.16915 act=929136 obj=7398.32266 diff=0.01528
iter=50 terr=0.02149 serr=0.16852 act=929136 obj=7204.30648 diff=0.02622
iter=51 terr=0.02057 serr=0.16333 act=929136 obj=7016.78524 diff=0.02603
iter=52 terr=0.01948 serr=0.15603 act=929136 obj=6796.35861 diff=0.03141
iter=53 terr=0.01926 serr=0.15444 act=929136 obj=6743.57258 diff=0.00777
iter=54 terr=0.01911 serr=0.15264 act=929136 obj=6611.62072 diff=0.01957
iter=55 terr=0.01866 serr=0.14925 act=929136 obj=6483.00354 diff=0.01945
iter=56 terr=0.01838 serr=0.14650 act=929136 obj=6353.88636 diff=0.01992
iter=57 terr=0.01817 serr=0.14777 act=929136 obj=6160.45251 diff=0.03044
iter=58 terr=0.02149 serr=0.14925 act=929136 obj=6732.41552 diff=0.09284
iter=59 terr=0.01826 serr=0.14682 act=929136 obj=6141.25370 diff=0.08781
iter=60 terr=0.01826 serr=0.14735 act=929136 obj=6120.10494 diff=0.00344
iter=61 terr=0.01783 serr=0.14491 act=929136 obj=5969.60288 diff=0.02459
iter=62 terr=0.01840 serr=0.14354 act=929136 obj=5947.61452 diff=0.00368
iter=63 terr=0.01743 serr=0.14047 act=929136 obj=5693.49940 diff=0.04273
iter=64 terr=0.01705 serr=0.13846 act=929136 obj=5629.06319 diff=0.01132
iter=65 terr=0.01688 serr=0.13645 act=929136 obj=5550.89045 diff=0.01389
iter=66 terr=0.01830 serr=0.13401 act=929136 obj=5681.87450 diff=0.02360
iter=67 terr=0.01703 serr=0.13507 act=929136 obj=5513.56010 diff=0.02962
iter=68 terr=0.01661 serr=0.13412 act=929136 obj=5434.90206 diff=0.01427
iter=69 terr=0.01657 serr=0.13412 act=929136 obj=5365.24486 diff=0.01282
iter=70 terr=0.01633 serr=0.13253 act=929136 obj=5311.92244 diff=0.00994
iter=71 terr=0.01617 serr=0.13179 act=929136 obj=5257.16251 diff=0.01031
iter=72 terr=0.01581 serr=0.12956 act=929136 obj=5148.36854 diff=0.02069
iter=73 terr=0.01583 serr=0.12766 act=929136 obj=5036.96169 diff=0.02164
iter=74 terr=0.01615 serr=0.12660 act=929136 obj=4983.17156 diff=0.01068
iter=75 terr=0.01504 serr=0.12258 act=929136 obj=4900.58570 diff=0.01657
iter=76 terr=0.01482 serr=0.12141 act=929136 obj=4862.95152 diff=0.00768
iter=77 terr=0.01477 serr=0.12078 act=929136 obj=4847.54380 diff=0.00317
iter=78 terr=0.01474 serr=0.12110 act=929136 obj=4772.17759 diff=0.01555
iter=79 terr=0.01455 serr=0.11919 act=929136 obj=4690.08293 diff=0.01720
iter=80 terr=0.01433 serr=0.11612 act=929136 obj=4593.76682 diff=0.02054
iter=81 terr=0.01362 serr=0.11400 act=929136 obj=4488.37787 diff=0.02294
iter=82 terr=0.01334 serr=0.11178 act=929136 obj=4382.42062 diff=0.02361
iter=83 terr=0.01326 serr=0.11009 act=929136 obj=4304.44301 diff=0.01779
iter=84 terr=0.01326 serr=0.11083 act=929136 obj=4260.12358 diff=0.01030
iter=85 terr=0.01253 serr=0.10681 act=929136 obj=4115.48673 diff=0.03395
iter=86 terr=0.01438 serr=0.12745 act=929136 obj=4545.32083 diff=0.10444
iter=87 terr=0.01235 serr=0.10649 act=929136 obj=4084.45630 diff=0.10139
iter=88 terr=0.01221 serr=0.10554 act=929136 obj=4023.71303 diff=0.01487
iter=89 terr=0.01183 serr=0.10278 act=929136 obj=3987.27562 diff=0.00906
iter=90 terr=0.01186 serr=0.10331 act=929136 obj=3968.50380 diff=0.00471
iter=91 terr=0.01166 serr=0.10215 act=929136 obj=3919.48538 diff=0.01235
iter=92 terr=0.01118 serr=0.09908 act=929136 obj=3798.15722 diff=0.03096
iter=93 terr=0.01060 serr=0.09580 act=929136 obj=3697.85274 diff=0.02641
iter=94 terr=0.01087 serr=0.09717 act=929136 obj=3636.53959 diff=0.01658
iter=95 terr=0.01046 serr=0.09463 act=929136 obj=3599.29186 diff=0.01024
iter=96 terr=0.01043 serr=0.09474 act=929136 obj=3570.72452 diff=0.00794
iter=97 terr=0.01020 serr=0.09273 act=929136 obj=3520.97755 diff=0.01393
iter=98 terr=0.00997 serr=0.09167 act=929136 obj=3452.77113 diff=0.01937
iter=99 terr=0.00941 serr=0.08966 act=929136 obj=3381.22357 diff=0.02072
iter=100 terr=0.00932 serr=0.08818 act=929136 obj=3322.21371 diff=0.01745
iter=101 terr=0.01458 serr=0.10744 act=929136 obj=4144.47335 diff=0.24750
iter=102 terr=0.00940 serr=0.08754 act=929136 obj=3307.48366 diff=0.20195
iter=103 terr=0.00904 serr=0.08564 act=929136 obj=3265.74324 diff=0.01262
iter=104 terr=0.00880 serr=0.08310 act=929136 obj=3230.48592 diff=0.01080
iter=105 terr=0.00879 serr=0.08235 act=929136 obj=3203.47587 diff=0.00836
iter=106 terr=0.00860 serr=0.08140 act=929136 obj=3153.32831 diff=0.01565
iter=107 terr=0.00906 serr=0.08108 act=929136 obj=3117.36288 diff=0.01141
iter=108 terr=0.00830 serr=0.07738 act=929136 obj=3017.05144 diff=0.03218
iter=109 terr=0.00857 serr=0.07664 act=929136 obj=2996.48215 diff=0.00682
iter=110 terr=0.00803 serr=0.07494 act=929136 obj=2949.62217 diff=0.01564
iter=111 terr=0.00788 serr=0.07526 act=929136 obj=2920.50677 diff=0.00987
iter=112 terr=0.00788 serr=0.07505 act=929136 obj=2878.82618 diff=0.01427
iter=113 terr=0.00744 serr=0.07198 act=929136 obj=2798.63823 diff=0.02785
iter=114 terr=0.00728 serr=0.06997 act=929136 obj=2761.78450 diff=0.01317
iter=115 terr=0.00712 serr=0.06764 act=929136 obj=2729.77680 diff=0.01159
iter=116 terr=0.00686 serr=0.06605 act=929136 obj=2690.99375 diff=0.01421
iter=117 terr=0.00724 serr=0.06732 act=929136 obj=2696.41352 diff=0.00201
iter=118 terr=0.00687 serr=0.06595 act=929136 obj=2675.56131 diff=0.00773
iter=119 terr=0.00671 serr=0.06499 act=929136 obj=2652.22717 diff=0.00872
iter=120 terr=0.00670 serr=0.06446 act=929136 obj=2590.89952 diff=0.02312
iter=121 terr=0.00644 serr=0.06309 act=929136 obj=2547.37054 diff=0.01680
iter=122 terr=0.00606 serr=0.06065 act=929136 obj=2474.17827 diff=0.02873
iter=123 terr=0.00771 serr=0.06425 act=929136 obj=2650.81908 diff=0.07139
iter=124 terr=0.00635 serr=0.05991 act=929136 obj=2446.15179 diff=0.07721
iter=125 terr=0.00617 serr=0.05896 act=929136 obj=2398.75154 diff=0.01938
iter=126 terr=0.00628 serr=0.06034 act=929136 obj=2370.03649 diff=0.01197
iter=127 terr=0.00576 serr=0.05748 act=929136 obj=2321.70355 diff=0.02039
iter=128 terr=0.00569 serr=0.05790 act=929136 obj=2306.98097 diff=0.00634
iter=129 terr=0.00542 serr=0.05600 act=929136 obj=2275.52284 diff=0.01364
iter=130 terr=0.00479 serr=0.05219 act=929136 obj=2172.49633 diff=0.04528
iter=131 terr=0.01260 serr=0.08807 act=929136 obj=3725.07104 diff=0.71465
iter=132 terr=0.00480 serr=0.05102 act=929136 obj=2159.10823 diff=0.42038
iter=133 terr=0.00448 serr=0.04859 act=929136 obj=2084.50323 diff=0.03455
iter=134 terr=0.00411 serr=0.04583 act=929136 obj=2072.69327 diff=0.00567
iter=135 terr=0.00397 serr=0.04509 act=929136 obj=2014.70788 diff=0.02798
iter=136 terr=0.00390 serr=0.04414 act=929136 obj=1997.45743 diff=0.00856
iter=137 terr=0.00379 serr=0.04287 act=929136 obj=1977.50213 diff=0.00999
iter=138 terr=0.00367 serr=0.04171 act=929136 obj=1938.06569 diff=0.01994
iter=139 terr=0.00404 serr=0.04065 act=929136 obj=1929.47496 diff=0.00443
iter=140 terr=0.00341 serr=0.03853 act=929136 obj=1895.26594 diff=0.01773
iter=141 terr=0.00339 serr=0.03842 act=929136 obj=1889.47981 diff=0.00305
iter=142 terr=0.00330 serr=0.03737 act=929136 obj=1862.83898 diff=0.01410
iter=143 terr=0.00341 serr=0.03927 act=929136 obj=1836.05197 diff=0.01438
iter=144 terr=0.00330 serr=0.03790 act=929136 obj=1804.50602 diff=0.01718
iter=145 terr=0.00289 serr=0.03356 act=929136 obj=1735.11209 diff=0.03846
iter=146 terr=0.00295 serr=0.03324 act=929136 obj=1725.04239 diff=0.00580
iter=147 terr=0.00268 serr=0.03197 act=929136 obj=1703.95504 diff=0.01222
iter=148 terr=0.00268 serr=0.03207 act=929136 obj=1696.74521 diff=0.00423
iter=149 terr=0.00252 serr=0.03091 act=929136 obj=1673.82445 diff=0.01351
iter=150 terr=0.00251 serr=0.03038 act=929136 obj=1652.77949 diff=0.01257
iter=151 terr=0.00247 serr=0.02974 act=929136 obj=1623.55826 diff=0.01768
iter=152 terr=0.00291 serr=0.03006 act=929136 obj=1629.67000 diff=0.00376
iter=153 terr=0.00248 serr=0.02943 act=929136 obj=1607.61578 diff=0.01353
iter=154 terr=0.00232 serr=0.02869 act=929136 obj=1597.57819 diff=0.00624
iter=155 terr=0.00229 serr=0.02784 act=929136 obj=1579.31091 diff=0.01143
iter=156 terr=0.00216 serr=0.02657 act=929136 obj=1560.05869 diff=0.01219
iter=157 terr=0.00218 serr=0.02731 act=929136 obj=1546.77091 diff=0.00852
iter=158 terr=0.00213 serr=0.02710 act=929136 obj=1540.02563 diff=0.00436
iter=159 terr=0.00198 serr=0.02540 act=929136 obj=1523.27774 diff=0.01088
iter=160 terr=0.00188 serr=0.02445 act=929136 obj=1511.28564 diff=0.00787
iter=161 terr=0.00238 serr=0.02720 act=929136 obj=1597.51833 diff=0.05706
iter=162 terr=0.00189 serr=0.02435 act=929136 obj=1505.26210 diff=0.05775
iter=163 terr=0.00180 serr=0.02286 act=929136 obj=1488.87398 diff=0.01089
iter=164 terr=0.00176 serr=0.02234 act=929136 obj=1469.70101 diff=0.01288
iter=165 terr=0.00174 serr=0.02181 act=929136 obj=1452.96003 diff=0.01139
iter=166 terr=0.00181 serr=0.02244 act=929136 obj=1431.45484 diff=0.01480
iter=167 terr=0.00175 serr=0.02223 act=929136 obj=1420.52587 diff=0.00763
iter=168 terr=0.00165 serr=0.02128 act=929136 obj=1389.65165 diff=0.02173
iter=169 terr=0.00167 serr=0.02159 act=929136 obj=1378.64018 diff=0.00792
iter=170 terr=0.00159 serr=0.02064 act=929136 obj=1365.62273 diff=0.00944
iter=171 terr=0.00143 serr=0.01905 act=929136 obj=1343.95263 diff=0.01587
iter=172 terr=0.00130 serr=0.01683 act=929136 obj=1324.34648 diff=0.01459
iter=173 terr=0.00119 serr=0.01545 act=929136 obj=1307.80405 diff=0.01249
iter=174 terr=0.00101 serr=0.01344 act=929136 obj=1296.56670 diff=0.00859
iter=175 terr=0.00089 serr=0.01207 act=929136 obj=1285.10079 diff=0.00884
iter=176 terr=0.00089 serr=0.01196 act=929136 obj=1280.18828 diff=0.00382
iter=177 terr=0.00092 serr=0.01281 act=929136 obj=1273.10031 diff=0.00554
iter=178 terr=0.00096 serr=0.01281 act=929136 obj=1265.41665 diff=0.00604
iter=179 terr=0.00102 serr=0.01260 act=929136 obj=1250.20514 diff=0.01202
iter=180 terr=0.00092 serr=0.01101 act=929136 obj=1246.40098 diff=0.00304
iter=181 terr=0.00090 serr=0.01111 act=929136 obj=1231.72441 diff=0.01178
iter=182 terr=0.00083 serr=0.01080 act=929136 obj=1227.72010 diff=0.00325
iter=183 terr=0.00083 serr=0.01080 act=929136 obj=1224.62341 diff=0.00252
iter=184 terr=0.00081 serr=0.01048 act=929136 obj=1221.37880 diff=0.00265
iter=185 terr=0.00076 serr=0.01037 act=929136 obj=1215.74679 diff=0.00461
iter=186 terr=0.00069 serr=0.00953 act=929136 obj=1204.49588 diff=0.00925
iter=187 terr=0.00066 serr=0.00910 act=929136 obj=1193.14457 diff=0.00942
iter=188 terr=0.00058 serr=0.00794 act=929136 obj=1191.04376 diff=0.00176
iter=189 terr=0.00061 serr=0.00826 act=929136 obj=1171.16718 diff=0.01669
iter=190 terr=0.00058 serr=0.00826 act=929136 obj=1164.88188 diff=0.00537
iter=191 terr=0.00055 serr=0.00752 act=929136 obj=1158.64733 diff=0.00535
iter=192 terr=0.00056 serr=0.00783 act=929136 obj=1154.52941 diff=0.00355
iter=193 terr=0.00055 serr=0.00762 act=929136 obj=1151.57444 diff=0.00256
iter=194 terr=0.00051 serr=0.00688 act=929136 obj=1143.77306 diff=0.00677
iter=195 terr=0.00049 serr=0.00646 act=929136 obj=1140.49870 diff=0.00286
iter=196 terr=0.00044 serr=0.00625 act=929136 obj=1134.81040 diff=0.00499
iter=197 terr=0.00040 serr=0.00561 act=929136 obj=1129.85994 diff=0.00436
iter=198 terr=0.00045 serr=0.00572 act=929136 obj=1125.84929 diff=0.00355
iter=199 terr=0.00042 serr=0.00550 act=929136 obj=1121.99691 diff=0.00342
iter=200 terr=0.00039 serr=0.00508 act=929136 obj=1119.61107 diff=0.00213
iter=201 terr=0.00035 serr=0.00455 act=929136 obj=1111.88008 diff=0.00691
iter=202 terr=0.00031 serr=0.00455 act=929136 obj=1105.18983 diff=0.00602
iter=203 terr=0.00030 serr=0.00423 act=929136 obj=1105.90777 diff=0.00065
iter=204 terr=0.00031 serr=0.00445 act=929136 obj=1102.51680 diff=0.00307
iter=205 terr=0.00029 serr=0.00423 act=929136 obj=1100.22254 diff=0.00208
iter=206 terr=0.00028 serr=0.00402 act=929136 obj=1098.38915 diff=0.00167
iter=207 terr=0.00026 serr=0.00370 act=929136 obj=1096.34986 diff=0.00186
iter=208 terr=0.00025 serr=0.00360 act=929136 obj=1094.17920 diff=0.00198
iter=209 terr=0.00028 serr=0.00392 act=929136 obj=1086.75302 diff=0.00679
iter=210 terr=0.00026 serr=0.00349 act=929136 obj=1082.78463 diff=0.00365
iter=211 terr=0.00030 serr=0.00370 act=929136 obj=1080.89904 diff=0.00174
iter=212 terr=0.00030 serr=0.00370 act=929136 obj=1078.57741 diff=0.00215
iter=213 terr=0.00029 serr=0.00349 act=929136 obj=1076.73388 diff=0.00171
iter=214 terr=0.00028 serr=0.00339 act=929136 obj=1074.39313 diff=0.00217
iter=215 terr=0.00027 serr=0.00328 act=929136 obj=1069.36342 diff=0.00468
iter=216 terr=0.00026 serr=0.00339 act=929136 obj=1081.72975 diff=0.01156
iter=217 terr=0.00023 serr=0.00318 act=929136 obj=1067.68973 diff=0.01298
iter=218 terr=0.00023 serr=0.00318 act=929136 obj=1064.16616 diff=0.00330
iter=219 terr=0.00027 serr=0.00307 act=929136 obj=1060.00167 diff=0.00391
iter=220 terr=0.00031 serr=0.00423 act=929136 obj=1087.28111 diff=0.02574
iter=221 terr=0.00024 serr=0.00318 act=929136 obj=1058.23776 diff=0.02671
iter=222 terr=0.00026 serr=0.00286 act=929136 obj=1054.37480 diff=0.00365
iter=223 terr=0.00022 serr=0.00275 act=929136 obj=1049.53357 diff=0.00459
iter=224 terr=0.00017 serr=0.00233 act=929136 obj=1042.04710 diff=0.00713
iter=225 terr=0.00021 serr=0.00233 act=929136 obj=1049.52052 diff=0.00717
iter=226 terr=0.00015 serr=0.00212 act=929136 obj=1040.11820 diff=0.00896
iter=227 terr=0.00014 serr=0.00191 act=929136 obj=1037.77707 diff=0.00225
iter=228 terr=0.00014 serr=0.00191 act=929136 obj=1035.01286 diff=0.00266
iter=229 terr=0.00019 serr=0.00212 act=929136 obj=1029.81016 diff=0.00503
iter=230 terr=0.00017 serr=0.00201 act=929136 obj=1029.99610 diff=0.00018
iter=231 terr=0.00017 serr=0.00191 act=929136 obj=1026.83659 diff=0.00307
iter=232 terr=0.00017 serr=0.00180 act=929136 obj=1023.29086 diff=0.00345
iter=233 terr=0.00016 serr=0.00180 act=929136 obj=1020.71575 diff=0.00252
iter=234 terr=0.00015 serr=0.00180 act=929136 obj=1019.69134 diff=0.00100
iter=235 terr=0.00013 serr=0.00180 act=929136 obj=1018.08831 diff=0.00157
iter=236 terr=0.00013 serr=0.00180 act=929136 obj=1017.33942 diff=0.00074
iter=237 terr=0.00013 serr=0.00169 act=929136 obj=1015.89894 diff=0.00142
iter=238 terr=0.00013 serr=0.00169 act=929136 obj=1013.90762 diff=0.00196
iter=239 terr=0.00013 serr=0.00169 act=929136 obj=1017.44379 diff=0.00349
iter=240 terr=0.00013 serr=0.00169 act=929136 obj=1013.15317 diff=0.00422
iter=241 terr=0.00013 serr=0.00169 act=929136 obj=1012.00066 diff=0.00114
iter=242 terr=0.00013 serr=0.00169 act=929136 obj=1010.84391 diff=0.00114
iter=243 terr=0.00012 serr=0.00159 act=929136 obj=1008.88543 diff=0.00194
iter=244 terr=0.00013 serr=0.00180 act=929136 obj=1006.27736 diff=0.00259
iter=245 terr=0.00011 serr=0.00138 act=929136 obj=1003.56441 diff=0.00270
iter=246 terr=0.00013 serr=0.00159 act=929136 obj=1000.85212 diff=0.00270
iter=247 terr=0.00012 serr=0.00148 act=929136 obj=998.35473 diff=0.00250
iter=248 terr=0.00013 serr=0.00148 act=929136 obj=995.40564 diff=0.00295
iter=249 terr=0.00014 serr=0.00180 act=929136 obj=992.66498 diff=0.00275
iter=250 terr=0.00013 serr=0.00169 act=929136 obj=991.42160 diff=0.00125
iter=251 terr=0.00012 serr=0.00159 act=929136 obj=987.87942 diff=0.00357
iter=252 terr=0.00010 serr=0.00127 act=929136 obj=984.82600 diff=0.00309
iter=253 terr=0.00010 serr=0.00127 act=929136 obj=983.07225 diff=0.00178
iter=254 terr=0.00012 serr=0.00148 act=929136 obj=981.03971 diff=0.00207
iter=255 terr=0.00011 serr=0.00138 act=929136 obj=980.24374 diff=0.00081
iter=256 terr=0.00011 serr=0.00138 act=929136 obj=979.33389 diff=0.00093
iter=257 terr=0.00010 serr=0.00116 act=929136 obj=977.56545 diff=0.00181
iter=258 terr=0.00011 serr=0.00138 act=929136 obj=975.08985 diff=0.00253
iter=259 terr=0.00012 serr=0.00148 act=929136 obj=972.46632 diff=0.00269
iter=260 terr=0.00012 serr=0.00148 act=929136 obj=969.73280 diff=0.00281
iter=261 terr=0.00012 serr=0.00148 act=929136 obj=967.27027 diff=0.00254
iter=262 terr=0.00010 serr=0.00127 act=929136 obj=966.12182 diff=0.00119
iter=263 terr=0.00008 serr=0.00106 act=929136 obj=960.70707 diff=0.00560
iter=264 terr=0.00008 serr=0.00095 act=929136 obj=956.42295 diff=0.00446
iter=265 terr=0.00008 serr=0.00095 act=929136 obj=951.15743 diff=0.00551
iter=266 terr=0.00012 serr=0.00116 act=929136 obj=946.76345 diff=0.00462
iter=267 terr=0.00012 serr=0.00116 act=929136 obj=943.93881 diff=0.00298
iter=268 terr=0.00012 serr=0.00116 act=929136 obj=941.16314 diff=0.00294
iter=269 terr=0.00008 serr=0.00106 act=929136 obj=943.39507 diff=0.00237
iter=270 terr=0.00008 serr=0.00106 act=929136 obj=939.44483 diff=0.00419
iter=271 terr=0.00012 serr=0.00116 act=929136 obj=937.29469 diff=0.00229
iter=272 terr=0.00011 serr=0.00106 act=929136 obj=926.29990 diff=0.01173
iter=273 terr=0.00008 serr=0.00106 act=929136 obj=925.67031 diff=0.00068
iter=274 terr=0.00011 serr=0.00106 act=929136 obj=921.67180 diff=0.00432
iter=275 terr=0.00012 serr=0.00116 act=929136 obj=919.70847 diff=0.00213
iter=276 terr=0.00012 serr=0.00106 act=929136 obj=917.05199 diff=0.00289
iter=277 terr=0.00009 serr=0.00106 act=929136 obj=913.62025 diff=0.00374
iter=278 terr=0.00010 serr=0.00116 act=929136 obj=913.26952 diff=0.00038
iter=279 terr=0.00009 serr=0.00106 act=929136 obj=911.35897 diff=0.00209
iter=280 terr=0.00009 serr=0.00106 act=929136 obj=908.60997 diff=0.00302
iter=281 terr=0.00008 serr=0.00095 act=929136 obj=906.48443 diff=0.00234
iter=282 terr=0.00008 serr=0.00095 act=929136 obj=904.77966 diff=0.00188
iter=283 terr=0.00008 serr=0.00085 act=929136 obj=903.02536 diff=0.00194
iter=284 terr=0.00008 serr=0.00085 act=929136 obj=899.21736 diff=0.00422
iter=285 terr=0.00008 serr=0.00085 act=929136 obj=894.53616 diff=0.00521
iter=286 terr=0.00008 serr=0.00085 act=929136 obj=889.13220 diff=0.00604
iter=287 terr=0.00006 serr=0.00064 act=929136 obj=888.11453 diff=0.00114
iter=288 terr=0.00006 serr=0.00074 act=929136 obj=882.21730 diff=0.00664
iter=289 terr=0.00006 serr=0.00064 act=929136 obj=881.14463 diff=0.00122
iter=290 terr=0.00005 serr=0.00053 act=929136 obj=879.68669 diff=0.00165
iter=291 terr=0.00005 serr=0.00053 act=929136 obj=877.80384 diff=0.00214
iter=292 terr=0.00008 serr=0.00074 act=929136 obj=879.04125 diff=0.00141
iter=293 terr=0.00005 serr=0.00053 act=929136 obj=876.58799 diff=0.00279
iter=294 terr=0.00006 serr=0.00064 act=929136 obj=874.48753 diff=0.00240
iter=295 terr=0.00006 serr=0.00064 act=929136 obj=873.60627 diff=0.00101
iter=296 terr=0.00006 serr=0.00064 act=929136 obj=872.92335 diff=0.00078
iter=297 terr=0.00006 serr=0.00064 act=929136 obj=872.50724 diff=0.00048
iter=298 terr=0.00006 serr=0.00064 act=929136 obj=870.41756 diff=0.00240
iter=299 terr=0.00005 serr=0.00053 act=929136 obj=868.52319 diff=0.00218
iter=300 terr=0.00005 serr=0.00053 act=929136 obj=866.88204 diff=0.00189
iter=301 terr=0.00005 serr=0.00053 act=929136 obj=864.35925 diff=0.00291
iter=302 terr=0.00005 serr=0.00053 act=929136 obj=861.68211 diff=0.00310
iter=303 terr=0.00005 serr=0.00053 act=929136 obj=861.52687 diff=0.00018
iter=304 terr=0.00005 serr=0.00053 act=929136 obj=860.64864 diff=0.00102
iter=305 terr=0.00005 serr=0.00053 act=929136 obj=860.43227 diff=0.00025
iter=306 terr=0.00005 serr=0.00053 act=929136 obj=860.03488 diff=0.00046
iter=307 terr=0.00005 serr=0.00053 act=929136 obj=859.36191 diff=0.00078
iter=308 terr=0.00005 serr=0.00053 act=929136 obj=857.73542 diff=0.00189
iter=309 terr=0.00018 serr=0.00074 act=929136 obj=860.64159 diff=0.00339
iter=310 terr=0.00005 serr=0.00053 act=929136 obj=857.02668 diff=0.00420
iter=311 terr=0.00005 serr=0.00053 act=929136 obj=855.60262 diff=0.00166
iter=312 terr=0.00005 serr=0.00053 act=929136 obj=854.46565 diff=0.00133
iter=313 terr=0.00005 serr=0.00053 act=929136 obj=852.52903 diff=0.00227
iter=314 terr=0.00005 serr=0.00053 act=929136 obj=848.34117 diff=0.00491
iter=315 terr=0.00005 serr=0.00053 act=929136 obj=844.32266 diff=0.00474
iter=316 terr=0.00005 serr=0.00053 act=929136 obj=840.44842 diff=0.00459
iter=317 terr=0.00005 serr=0.00053 act=929136 obj=839.56043 diff=0.00106
iter=318 terr=0.00005 serr=0.00053 act=929136 obj=837.33957 diff=0.00265
iter=319 terr=0.00008 serr=0.00064 act=929136 obj=846.11458 diff=0.01048
iter=320 terr=0.00005 serr=0.00053 act=929136 obj=836.46825 diff=0.01140
iter=321 terr=0.00005 serr=0.00053 act=929136 obj=835.24170 diff=0.00147
iter=322 terr=0.00006 serr=0.00064 act=929136 obj=834.02014 diff=0.00146
iter=323 terr=0.00006 serr=0.00064 act=929136 obj=833.31775 diff=0.00084
iter=324 terr=0.00006 serr=0.00064 act=929136 obj=832.69096 diff=0.00075
iter=325 terr=0.00006 serr=0.00064 act=929136 obj=831.68376 diff=0.00121
iter=326 terr=0.00006 serr=0.00064 act=929136 obj=830.36046 diff=0.00159
iter=327 terr=0.00006 serr=0.00064 act=929136 obj=828.64972 diff=0.00206
iter=328 terr=0.00006 serr=0.00064 act=929136 obj=827.56167 diff=0.00131
iter=329 terr=0.00006 serr=0.00064 act=929136 obj=832.92302 diff=0.00648
iter=330 terr=0.00006 serr=0.00064 act=929136 obj=826.90236 diff=0.00723
iter=331 terr=0.00006 serr=0.00064 act=929136 obj=825.83636 diff=0.00129
iter=332 terr=0.00006 serr=0.00064 act=929136 obj=825.30074 diff=0.00065
iter=333 terr=0.00006 serr=0.00064 act=929136 obj=823.98138 diff=0.00160
iter=334 terr=0.00006 serr=0.00064 act=929136 obj=822.79171 diff=0.00144
iter=335 terr=0.00006 serr=0.00064 act=929136 obj=822.97926 diff=0.00023
iter=336 terr=0.00006 serr=0.00064 act=929136 obj=822.06495 diff=0.00111
iter=337 terr=0.00006 serr=0.00064 act=929136 obj=821.08665 diff=0.00119
iter=338 terr=0.00006 serr=0.00064 act=929136 obj=820.39573 diff=0.00084
iter=339 terr=0.00006 serr=0.00064 act=929136 obj=819.42140 diff=0.00119
iter=340 terr=0.00005 serr=0.00053 act=929136 obj=818.29799 diff=0.00137
iter=341 terr=0.00005 serr=0.00053 act=929136 obj=817.15187 diff=0.00140
iter=342 terr=0.00005 serr=0.00053 act=929136 obj=816.57030 diff=0.00071
iter=343 terr=0.00005 serr=0.00053 act=929136 obj=815.96830 diff=0.00074
iter=344 terr=0.00005 serr=0.00053 act=929136 obj=815.18661 diff=0.00096
iter=345 terr=0.00006 serr=0.00064 act=929136 obj=813.98634 diff=0.00147
iter=346 terr=0.00005 serr=0.00053 act=929136 obj=812.71398 diff=0.00156
iter=347 terr=0.00005 serr=0.00053 act=929136 obj=811.97108 diff=0.00091
iter=348 terr=0.00005 serr=0.00053 act=929136 obj=811.41374 diff=0.00069
iter=349 terr=0.00005 serr=0.00053 act=929136 obj=810.64920 diff=0.00094
iter=350 terr=0.00006 serr=0.00074 act=929136 obj=816.78246 diff=0.00757
iter=351 terr=0.00005 serr=0.00053 act=929136 obj=809.54703 diff=0.00886
iter=352 terr=0.00005 serr=0.00053 act=929136 obj=807.82576 diff=0.00213
iter=353 terr=0.00005 serr=0.00053 act=929136 obj=806.78868 diff=0.00128
iter=354 terr=0.00005 serr=0.00053 act=929136 obj=805.53334 diff=0.00156
iter=355 terr=0.00005 serr=0.00053 act=929136 obj=805.94186 diff=0.00051
iter=356 terr=0.00005 serr=0.00053 act=929136 obj=804.64872 diff=0.00160
iter=357 terr=0.00005 serr=0.00053 act=929136 obj=803.56891 diff=0.00134
iter=358 terr=0.00005 serr=0.00053 act=929136 obj=803.14026 diff=0.00053
iter=359 terr=0.00005 serr=0.00053 act=929136 obj=802.60243 diff=0.00067
iter=360 terr=0.00005 serr=0.00053 act=929136 obj=802.06149 diff=0.00067
iter=361 terr=0.00005 serr=0.00053 act=929136 obj=800.62735 diff=0.00179
iter=362 terr=0.00005 serr=0.00053 act=929136 obj=799.53123 diff=0.00137
iter=363 terr=0.00005 serr=0.00053 act=929136 obj=797.73917 diff=0.00224
iter=364 terr=0.00005 serr=0.00053 act=929136 obj=795.82279 diff=0.00240
iter=365 terr=0.00005 serr=0.00053 act=929136 obj=794.68615 diff=0.00143
iter=366 terr=0.00005 serr=0.00053 act=929136 obj=798.56863 diff=0.00489
iter=367 terr=0.00005 serr=0.00053 act=929136 obj=794.06595 diff=0.00564
iter=368 terr=0.00005 serr=0.00053 act=929136 obj=793.53037 diff=0.00067
iter=369 terr=0.00005 serr=0.00053 act=929136 obj=792.59068 diff=0.00118
iter=370 terr=0.00005 serr=0.00053 act=929136 obj=791.29752 diff=0.00163
iter=371 terr=0.00005 serr=0.00053 act=929136 obj=790.14593 diff=0.00146
iter=372 terr=0.00005 serr=0.00053 act=929136 obj=789.73511 diff=0.00052
iter=373 terr=0.00005 serr=0.00053 act=929136 obj=788.44851 diff=0.00163
iter=374 terr=0.00005 serr=0.00053 act=929136 obj=787.92288 diff=0.00067
iter=375 terr=0.00005 serr=0.00053 act=929136 obj=787.68740 diff=0.00030
iter=376 terr=0.00005 serr=0.00053 act=929136 obj=787.48069 diff=0.00026
iter=377 terr=0.00005 serr=0.00053 act=929136 obj=786.87478 diff=0.00077
iter=378 terr=0.00006 serr=0.00064 act=929136 obj=786.18256 diff=0.00088
iter=379 terr=0.00006 serr=0.00064 act=929136 obj=785.14504 diff=0.00132
iter=380 terr=0.00006 serr=0.00064 act=929136 obj=784.02079 diff=0.00143
iter=381 terr=0.00006 serr=0.00064 act=929136 obj=784.42638 diff=0.00052
iter=382 terr=0.00006 serr=0.00064 act=929136 obj=783.64583 diff=0.00100
iter=383 terr=0.00006 serr=0.00064 act=929136 obj=783.21339 diff=0.00055
iter=384 terr=0.00006 serr=0.00064 act=929136 obj=782.57574 diff=0.00081
iter=385 terr=0.00005 serr=0.00053 act=929136 obj=782.25171 diff=0.00041
iter=386 terr=0.00005 serr=0.00053 act=929136 obj=782.66227 diff=0.00052
iter=387 terr=0.00005 serr=0.00053 act=929136 obj=781.89458 diff=0.00098
iter=388 terr=0.00005 serr=0.00053 act=929136 obj=781.20888 diff=0.00088
iter=389 terr=0.00005 serr=0.00053 act=929136 obj=780.81933 diff=0.00050
iter=390 terr=0.00005 serr=0.00053 act=929136 obj=780.52139 diff=0.00038
iter=391 terr=0.00005 serr=0.00053 act=929136 obj=780.01888 diff=0.00064
iter=392 terr=0.00005 serr=0.00053 act=929136 obj=779.89876 diff=0.00015
iter=393 terr=0.00005 serr=0.00053 act=929136 obj=779.69390 diff=0.00026
iter=394 terr=0.00005 serr=0.00053 act=929136 obj=779.40633 diff=0.00037
iter=395 terr=0.00005 serr=0.00053 act=929136 obj=778.99871 diff=0.00052
iter=396 terr=0.00005 serr=0.00053 act=929136 obj=779.28793 diff=0.00037
iter=397 terr=0.00005 serr=0.00053 act=929136 obj=778.70303 diff=0.00075
iter=398 terr=0.00005 serr=0.00053 act=929136 obj=778.27392 diff=0.00055
iter=399 terr=0.00005 serr=0.00053 act=929136 obj=777.91075 diff=0.00047
iter=400 terr=0.00005 serr=0.00053 act=929136 obj=777.80784 diff=0.00013
iter=401 terr=0.00005 serr=0.00053 act=929136 obj=777.60425 diff=0.00026
iter=402 terr=0.00005 serr=0.00053 act=929136 obj=776.97736 diff=0.00081
iter=403 terr=0.00005 serr=0.00053 act=929136 obj=776.96272 diff=0.00002
iter=404 terr=0.00005 serr=0.00053 act=929136 obj=776.73847 diff=0.00029
iter=405 terr=0.00005 serr=0.00053 act=929136 obj=776.51482 diff=0.00029
iter=406 terr=0.00005 serr=0.00053 act=929136 obj=776.37793 diff=0.00018
iter=407 terr=0.00005 serr=0.00053 act=929136 obj=776.20307 diff=0.00023
iter=408 terr=0.00005 serr=0.00053 act=929136 obj=775.95263 diff=0.00032
iter=409 terr=0.00005 serr=0.00053 act=929136 obj=775.72833 diff=0.00029
iter=410 terr=0.00005 serr=0.00053 act=929136 obj=774.91236 diff=0.00105
iter=411 terr=0.00006 serr=0.00064 act=929136 obj=774.84492 diff=0.00009
iter=412 terr=0.00005 serr=0.00053 act=929136 obj=774.42015 diff=0.00055
iter=413 terr=0.00005 serr=0.00053 act=929136 obj=774.30312 diff=0.00015
iter=414 terr=0.00005 serr=0.00053 act=929136 obj=774.21767 diff=0.00011
iter=415 terr=0.00005 serr=0.00053 act=929136 obj=774.05165 diff=0.00021
iter=416 terr=0.00005 serr=0.00053 act=929136 obj=773.73993 diff=0.00040
iter=417 terr=0.00005 serr=0.00053 act=929136 obj=773.14528 diff=0.00077
iter=418 terr=0.00005 serr=0.00053 act=929136 obj=772.67028 diff=0.00061
iter=419 terr=0.00005 serr=0.00053 act=929136 obj=772.45591 diff=0.00028
iter=420 terr=0.00005 serr=0.00053 act=929136 obj=772.30984 diff=0.00019
iter=421 terr=0.00005 serr=0.00053 act=929136 obj=772.22708 diff=0.00011
iter=422 terr=0.00005 serr=0.00053 act=929136 obj=771.98652 diff=0.00031
iter=423 terr=0.00005 serr=0.00053 act=929136 obj=771.69989 diff=0.00037
iter=424 terr=0.00005 serr=0.00053 act=929136 obj=773.07557 diff=0.00178
iter=425 terr=0.00005 serr=0.00053 act=929136 obj=771.57289 diff=0.00194
iter=426 terr=0.00005 serr=0.00053 act=929136 obj=771.33363 diff=0.00031
iter=427 terr=0.00005 serr=0.00053 act=929136 obj=771.20323 diff=0.00017
iter=428 terr=0.00005 serr=0.00053 act=929136 obj=771.07107 diff=0.00017
iter=429 terr=0.00005 serr=0.00053 act=929136 obj=770.72875 diff=0.00044
iter=430 terr=0.00005 serr=0.00053 act=929136 obj=773.20300 diff=0.00321
iter=431 terr=0.00005 serr=0.00053 act=929136 obj=770.59249 diff=0.00338
iter=432 terr=0.00005 serr=0.00053 act=929136 obj=770.28491 diff=0.00040
iter=433 terr=0.00005 serr=0.00053 act=929136 obj=769.95450 diff=0.00043
iter=434 terr=0.00005 serr=0.00053 act=929136 obj=770.24641 diff=0.00038
iter=435 terr=0.00005 serr=0.00053 act=929136 obj=769.74267 diff=0.00065
iter=436 terr=0.00005 serr=0.00053 act=929136 obj=769.56885 diff=0.00023
iter=437 terr=0.00005 serr=0.00053 act=929136 obj=769.29487 diff=0.00036
iter=438 terr=0.00005 serr=0.00053 act=929136 obj=769.15633 diff=0.00018
iter=439 terr=0.00005 serr=0.00053 act=929136 obj=768.90843 diff=0.00032
iter=440 terr=0.00005 serr=0.00053 act=929136 obj=768.84601 diff=0.00008
iter=441 terr=0.00005 serr=0.00053 act=929136 obj=768.64830 diff=0.00026
iter=442 terr=0.00005 serr=0.00053 act=929136 obj=768.56836 diff=0.00010
iter=443 terr=0.00005 serr=0.00053 act=929136 obj=768.50319 diff=0.00008
iter=444 terr=0.00005 serr=0.00053 act=929136 obj=768.42963 diff=0.00010
iter=445 terr=0.00005 serr=0.00053 act=929136 obj=768.22788 diff=0.00026
iter=446 terr=0.00005 serr=0.00053 act=929136 obj=768.00037 diff=0.00030
iter=447 terr=0.00005 serr=0.00053 act=929136 obj=767.68158 diff=0.00042
iter=448 terr=0.00005 serr=0.00053 act=929136 obj=767.67397 diff=0.00001
iter=449 terr=0.00005 serr=0.00053 act=929136 obj=767.57033 diff=0.00014
iter=450 terr=0.00005 serr=0.00053 act=929136 obj=767.56697 diff=0.00000
iter=451 terr=0.00005 serr=0.00053 act=929136 obj=767.51327 diff=0.00007
iter=452 terr=0.00005 serr=0.00053 act=929136 obj=767.44816 diff=0.00008

Done!781.63 s

-> Setting up chunker: chunker_cp
--> Chunk propagation
2017-06-14 20:02:39,558 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100527.xml
(ChunkerEvaluator) Sentence #1 from 00100527 from sent1

Text  : Felicite Island
Tokens: 1_______ 2_____

Chunks:
  TruePositive nam [1,2] = Felicite Island (confidence=1.00)

(ChunkerEvaluator) Sentence #2 from 00100527 from sent2

Text  : Felicite Island ( fr . Île Félicité ) - niewielka ,_ gęsto zalesiona wyspa w_ archipelagu Seszeli ,_ w_ grupie Wysp Wewnętrznych ,_ około 4_ km na wschód od La Digue ._
Tokens: 1_______ 2_____ 3 4_ 5 6__ 7_______ 8 9 10_______ 11 12___ 13_______ 14___ 15 16_________ 17_____ 18 19 20____ 21__ 22__________ 23 24___ 25 26 27 28____ 29 30 31___ 32

Chunks:
  TruePositive nam [1,2] = Felicite Island (confidence=1.00)
  TruePositive nam [6,7] = Île Félicité (confidence=0.99)
  TruePositive nam [17,17] = Seszeli (confidence=1.00)
  TruePositive nam [21,22] = Wysp Wewnętrznych (confidence=0.45)
  TruePositive nam [30,31] = La Digue (confidence=1.00)

(ChunkerEvaluator) Sentence #3 from 00100527 from sent3

Text  : Jej powierzchnia wynosi 2 , 68 km² .
Tokens: 1__ 2___________ 3_____ 4 5 6_ 7__ 8

Chunks:

(ChunkerEvaluator) Sentence #4 from 00100527 from sent4

Text  : W XIX wieku na wyspie mieszkał sułtan Abdullah z Peraku ,_ zesłany tu przez Brytyjczyków ._
Tokens: 1 2__ 3____ 4_ 5_____ 6_______ 7_____ 8_______ 9 10____ 11 12_____ 13 14___ 15__________ 16

Chunks:
  TruePositive nam [8,8] = Abdullah (confidence=1.00)
  TruePositive nam [10,10] = Peraku (confidence=0.79)
  TruePositive nam [15,15] = Brytyjczyków (confidence=1.00)

(ChunkerEvaluator) Sentence #5 from 00100527 from sent5

Text  : Do lat 70 . XX wieku istniała tu plantacja palm kokosowych i_ mieszkało tu około 50 osób ._
Tokens: 1_ 2__ 3_ 4 5_ 6____ 7_______ 8_ 9________ 10__ 11________ 12 13_______ 14 15___ 16 17__ 18

Chunks:

(ChunkerEvaluator) Sentence #6 from 00100527 from sent6

Text  : Współcześnie działa tu kurort wypoczynkowy dla turystów .
Tokens: 1___________ 2_____ 3_ 4_____ 5___________ 6__ 7_______ 8

Chunks:

(ChunkerEvaluator) Sentence #7 from 00100527 from sent7

Text  : Felicite Island wraz z trzema sąsiednimy granitowymi wyspami : Mary Anne Island ,_ Coco Island i_ dwiema wysepkami The Sisters tworzy łańcuch satelitarnych wysp La Digue ._
Tokens: 1_______ 2_____ 3___ 4 5_____ 6_________ 7__________ 8______ 9 10__ 11__ 12____ 13 14__ 15____ 16 17____ 18_______ 19_ 20_____ 21____ 22_____ 23___________ 24__ 25 26___ 27

Chunks:
  TruePositive nam [1,2] = Felicite Island (confidence=1.00)
  TruePositive nam [10,12] = Mary Anne Island (confidence=1.00)
  TruePositive nam [14,15] = Coco Island (confidence=0.99)
  TruePositive nam [19,20] = The Sisters (confidence=0.96)
  TruePositive nam [25,26] = La Digue (confidence=1.00)

2017-06-14 20:02:39,635 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 2 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100531.xml
(ChunkerEvaluator) Sentence #8 from 00100531 from sent1

Text  : Bon komunalny
Tokens: 1__ 2________

Chunks:

(ChunkerEvaluator) Sentence #9 from 00100531 from sent2

Text  : Bon komunalny - jest instrumentem dyskontowym i jego oprocentowanie może być oparte o_ stawkę rynku lokat międzybankowych lub rentowność bonów skarbowych ._
Tokens: 1__ 2________ 3 4___ 5___________ 6__________ 7 8___ 9_____________ 10__ 11_ 12____ 13 14____ 15___ 16___ 17_____________ 18_ 19________ 20___ 21________ 22

Chunks:

(ChunkerEvaluator) Sentence #10 from 00100531 from sent3

Text  : Bony komunalne po raz pierwszy na polskim rynku zostały wyemitowane przez gminę Radom ._
Tokens: 1___ 2________ 3_ 4__ 5_______ 6_ 7______ 8____ 9______ 10_________ 11___ 12___ 13___ 14

Chunks:
  TruePositive nam [13,13] = Radom (confidence=1.00)

(ChunkerEvaluator) Sentence #11 from 00100531 from sent4

Text  : Emisja bonów komunalnych może mieć także charakter emisji zamkniętej ,_ czyli organizowanej w_ grupie gmin lub jednostek samorządu terytorialnego ._
Tokens: 1_____ 2____ 3__________ 4___ 5___ 6____ 7________ 8_____ 9_________ 10 11___ 12___________ 13 14____ 15__ 16_ 17_______ 18_______ 19____________ 20

Chunks:

(ChunkerEvaluator) Sentence #12 from 00100531 from sent5

Text  : Organizowana jest wówczas w taki sam sposób jak emisja zamknięta w_ grupie kapitałowej ._
Tokens: 1___________ 2___ 3______ 4 5___ 6__ 7_____ 8__ 9_____ 10_______ 11 12____ 13_________ 14

Chunks:

(ChunkerEvaluator) Sentence #13 from 00100531 from sent6

Text  : Może być ona jeszcze tańsza , ponieważ gminy na ogół między sobą dobrze znają i_ oprocentowanie bonów może być ustawiane w_ taki sposób ,_ by koszty ich emisji były minimalne ._
Tokens: 1___ 2__ 3__ 4______ 5_____ 6 7_______ 8____ 9_ 10__ 11____ 12__ 13____ 14___ 15 16____________ 17___ 18__ 19_ 20_______ 21 22__ 23____ 24 25 26____ 27_ 28____ 29__ 30_______ 31

Chunks:

(ChunkerEvaluator) Sentence #14 from 00100531 from sent7

Text  : Bony komunalny są z reguły zyskowniejsze niż bony skarbowe ._
Tokens: 1___ 2________ 3_ 4 5_____ 6____________ 7__ 8___ 9_______ 10

Chunks:

2017-06-14 20:02:39,700 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 3 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101201.xml
(ChunkerEvaluator) Sentence #15 from 00101201 from sent1

Text  : Mistrzostwa Azji w Lekkoatletyce 2009 - skok o tyczce kobiet
Tokens: 1__________ 2___ 3 4____________ 5___ 6 7___ 8 9_____ 10____

Chunks:
  FalsePositive nam [2,2] = Azji (confidence=0.76) (incorrect boundry)
  FalsePositive nam [4,4] = Lekkoatletyce (confidence=0.80) (incorrect boundry)
  FalseNegative nam [1,5] = Mistrzostwa Azji w Lekkoatletyce 2009

(ChunkerEvaluator) Sentence #16 from 00101201 from sent2

Text  : Skok o tyczce kobiet – jedna z konkurencji rozegranych podczas XVIII mistrzostw Azji w_ lekkoatletyce ._
Tokens: 1___ 2 3_____ 4_____ 5 6____ 7 8__________ 9__________ 10_____ 11___ 12________ 13__ 14 15___________ 16

Chunks:
  FalsePositive nam [11,13] = XVIII mistrzostw Azji (confidence=0.71) (incorrect boundry)
  FalseNegative nam [11,15] = XVIII mistrzostw Azji w lekkoatletyce

(ChunkerEvaluator) Sentence #17 from 00101201 from sent3

Text  : Do konkursu zgłoszono osiem zawodniczek , zatem nie było potrzeby rozgrywania eliminacji i_ 12 listopada 2009 rozegrano od razu konkurs finałowy ._
Tokens: 1_ 2_______ 3________ 4____ 5__________ 6 7____ 8__ 9___ 10______ 11_________ 12________ 13 14 15_______ 16__ 17_______ 18 19__ 20_____ 21______ 22

Chunks:

2017-06-14 20:02:39,734 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101234.xml
(ChunkerEvaluator) Sentence #18 from 00101234 from sent1

Text  : Łazar Kaganowicz
Tokens: 1____ 2_________

Chunks:
  TruePositive nam [1,2] = Łazar Kaganowicz (confidence=1.00)

(ChunkerEvaluator) Sentence #19 from 00101234 from sent2

Text  : Łazar Mojsiejewicz Kaganowicz ros . Лазарь Моисеевич Каганович ( ur ._ 22 listopada 1893 w_ przysiółku Kabany (_ obecnie :_ Dibrowa )_ koło Chabna ,_ zm ._ 25 lipca 1991 w_ Moskwie )_ -_ radziecki polityk ._
Tokens: 1____ 2___________ 3_________ 4__ 5 6_____ 7________ 8________ 9 10 11 12 13_______ 14__ 15 16________ 17____ 18 19_____ 20 21_____ 22 23__ 24____ 25 26 27 28 29___ 30__ 31 32_____ 33 34 35_______ 36_____ 37

Chunks:
  TruePositive nam [1,3] = Łazar Mojsiejewicz Kaganowicz (confidence=0.98)
  TruePositive nam [6,8] = Лазарь Моисеевич Каганович (confidence=0.97)
  TruePositive nam [17,17] = Kabany (confidence=0.99)
  TruePositive nam [24,24] = Chabna (confidence=1.00)
  TruePositive nam [32,32] = Moskwie (confidence=1.00)
  FalseNegative nam [21,21] = Dibrowa

(ChunkerEvaluator) Sentence #20 from 00101234 from sent3

Text  : Pochodził z rodziny drobnego żydowskiego handlarza bydła , w dzieciństwie pracował w_ warsztatach szewskich ._
Tokens: 1________ 2 3______ 4_______ 5__________ 6________ 7____ 8 9 10__________ 11______ 12 13_________ 14_______ 15

Chunks:

(ChunkerEvaluator) Sentence #21 from 00101234 from sent4

Text  : Od 1911 w partii bolszewickiej .
Tokens: 1_ 2___ 3 4_____ 5____________ 6

Chunks:

(ChunkerEvaluator) Sentence #22 from 00101234 from sent5

Text  : Jeden z najbliższych współpracowników Stalina i członek najwyższych władz partyjnych w_ Rosji komunistycznej i_ ZSRR :_ od 1924 do 1957 członek Komitetu Centralnego Komunistycznej Partii Rosji ,_ a_ potem KPZR ,_ w_ latach 1930 -_ 1952 członek jej Biura Politycznego ._
Tokens: 1____ 2 3___________ 4_______________ 5______ 6 7______ 8__________ 9____ 10________ 11 12___ 13____________ 14 15__ 16 17 18__ 19 20__ 21_____ 22______ 23_________ 24____________ 25____ 26___ 27 28 29___ 30__ 31 32 33____ 34__ 35 36__ 37_____ 38_ 39___ 40__________ 41

Chunks:
  TruePositive nam [5,5] = Stalina (confidence=0.99)
  TruePositive nam [12,12] = Rosji (confidence=1.00)
  TruePositive nam [15,15] = ZSRR (confidence=1.00)
  TruePositive nam [30,30] = KPZR (confidence=0.93)
  TruePositive nam [39,40] = Biura Politycznego (confidence=1.00)
  FalsePositive nam [22,26] = Komitetu Centralnego Komunistycznej Partii Rosji (confidence=1.00) (incorrect boundry)
  FalseNegative nam [22,23] = Komitetu Centralnego
  FalseNegative nam [24,26] = Komunistycznej Partii Rosji

(ChunkerEvaluator) Sentence #23 from 00101234 from sent6

Text  : W latach 1925 - 1928 i w 1947 był sekretarzem generalnym partii komunistycznej na Ukrainie ._
Tokens: 1 2_____ 3___ 4 5___ 6 7 8___ 9__ 10_________ 11________ 12____ 13____________ 14 15______ 16

Chunks:
  TruePositive nam [15,15] = Ukrainie (confidence=1.00)

(ChunkerEvaluator) Sentence #24 from 00101234 from sent7

Text  : W latach 1930 - 35 pierwszy sekretarz partii w Moskwie ,_ współinicjator i_ organizator budowy metra moskiewskiego ._
Tokens: 1 2_____ 3___ 4 5_ 6_______ 7________ 8_____ 9 10_____ 11 12____________ 13 14_________ 15____ 16___ 17___________ 18

Chunks:
  TruePositive nam [10,10] = Moskwie (confidence=1.00)

(ChunkerEvaluator) Sentence #25 from 00101234 from sent8

Text  : W okresie 1935 - 1944 minister ( komisarz ludowy )_ transportu ,_ jednocześnie w_ 1937 -_ 1939 minister przemysłu ciężkiego ,_ w_ 1939 -_ 1940 minister przemysłu naftowego i_ surowców energetycznych ,_ po 1945 kilkakrotnie minister przemysłu materiałów budowlanych ,_ a_ w_ latach 1953 -_ 1957 wicepremier ZSRR ._
Tokens: 1 2______ 3___ 4 5___ 6_______ 7 8_______ 9_____ 10 11________ 12 13__________ 14 15__ 16 17__ 18______ 19_______ 20_______ 21 22 23__ 24 25__ 26______ 27_______ 28_______ 29 30______ 31____________ 32 33 34__ 35__________ 36______ 37_______ 38________ 39_________ 40 41 42 43____ 44__ 45 46__ 47_________ 48__ 49

Chunks:
  TruePositive nam [48,48] = ZSRR (confidence=0.99)

(ChunkerEvaluator) Sentence #26 from 00101234 from sent9

Text  : Po śmierci Stalina w 1953 , aktywnie współdziałał z Chruszczowem przeciwko Berii ,_ jednakże potem sprzeciwił się potępieniu stalinizmu przez Chruszczowa (_ później nazwano to działanie grupą antypartyjną )_ ._
Tokens: 1_ 2______ 3______ 4 5___ 6 7_______ 8___________ 9 10__________ 11_______ 12___ 13 14______ 15___ 16________ 17_ 18________ 19________ 20___ 21_________ 22 23_____ 24_____ 25 26_______ 27___ 28__________ 29 30

Chunks:
  TruePositive nam [3,3] = Stalina (confidence=1.00)
  TruePositive nam [10,10] = Chruszczowem (confidence=0.99)
  TruePositive nam [12,12] = Berii (confidence=0.99)
  TruePositive nam [21,21] = Chruszczowa (confidence=1.00)
  FalseNegative nam [19,19] = stalinizmu

(ChunkerEvaluator) Sentence #27 from 00101234 from sent10

Text  : W konsekwencji w 1957 zwolniony ze wszelkich stanowisk partyjnych i_ rządowych ,_ a_ w_ 1961 wykluczony z_ partii ,_ formalnie w_ związku z_ oskarżeniami o_ udział w_ represjach stalinowskich ._
Tokens: 1 2___________ 3 4___ 5________ 6_ 7________ 8________ 9_________ 10 11_______ 12 13 14 15__ 16________ 17 18____ 19 20_______ 21 22_____ 23 24__________ 25 26____ 27 28________ 29___________ 30

Chunks:

(ChunkerEvaluator) Sentence #28 from 00101234 from sent11

Text  : Po 1957 był dyrektorem fabryki azbestu na Uralu , a_ w_ 1959 został odesłany na emeryturę ._
Tokens: 1_ 2___ 3__ 4_________ 5______ 6______ 7_ 8____ 9 10 11 12__ 13____ 14______ 15 16_______ 17

Chunks:
  TruePositive nam [8,8] = Uralu (confidence=1.00)

(ChunkerEvaluator) Sentence #29 from 00101234 from sent12

Text  : Współcześnie powszechnie obciążany odpowiedzialnością za kolektywizację i " rozkułaczenie "_ (_ w_ tym aresztowanie i_ zesłanie ludności )_ Ukrainy ,_ północnego Kaukazu ,_ centralnej Rosji i_ części Syberii ._
Tokens: 1___________ 2__________ 3________ 4_________________ 5_ 6_____________ 7 8 9____________ 10 11 12 13_ 14__________ 15 16______ 17______ 18 19_____ 20 21________ 22_____ 23 24________ 25___ 26 27____ 28_____ 29

Chunks:
  TruePositive nam [19,19] = Ukrainy (confidence=0.96)
  TruePositive nam [22,22] = Kaukazu (confidence=0.80)
  TruePositive nam [25,25] = Rosji (confidence=0.95)
  TruePositive nam [28,28] = Syberii (confidence=0.91)

(ChunkerEvaluator) Sentence #30 from 00101234 from sent13

Text  : Na tych terenach działał jako specjalny przedstawiciel Stalina ds rozkułaczania i_ nadzorował oraz inicjował politykę miejscowych władz ._
Tokens: 1_ 2___ 3_______ 4______ 5___ 6________ 7_____________ 8______ 9_ 10___________ 11 12________ 13__ 14_______ 15______ 16_________ 17___ 18

Chunks:
  TruePositive nam [8,8] = Stalina (confidence=0.98)

(ChunkerEvaluator) Sentence #31 from 00101234 from sent14

Text  : Jako pierwszy sekretarz Moskwy w latach 1930 - 1935 był inicjatorem przebudowy stolicy ,_ w_ tym także zniszczenia szeregu znakomitych zabytków Moskwy ,_ przede wszystkim cerkwi Chrystusa Zbawiciela (_ ros ._ Храм Христа Спасителя )_ i_ klasztoru Strastnoj z_ 1654 ._
Tokens: 1___ 2_______ 3________ 4_____ 5 6_____ 7___ 8 9___ 10_ 11_________ 12________ 13_____ 14 15 16_ 17___ 18_________ 19_____ 20_________ 21______ 22____ 23 24____ 25_______ 26____ 27_______ 28________ 29 30_ 31 32__ 33____ 34_______ 35 36 37_______ 38_______ 39 40__ 41

Chunks:
  TruePositive nam [4,4] = Moskwy (confidence=0.99)
  TruePositive nam [22,22] = Moskwy (confidence=0.98)
  TruePositive nam [32,34] = Храм Христа Спасителя (confidence=1.00)
  TruePositive nam [38,38] = Strastnoj (confidence=0.77)
  FalsePositive nam [27,28] = Chrystusa Zbawiciela (confidence=1.00) (incorrect boundry)
  FalseNegative nam [26,28] = cerkwi Chrystusa Zbawiciela

(ChunkerEvaluator) Sentence #32 from 00101234 from sent15

Text  : Wielokrotnie jeden z głównych realizatorów " czystek stalinowskich " zarówno w_ partii jak i_ poza nią ._
Tokens: 1___________ 2____ 3 4_______ 5___________ 6 7______ 8____________ 9 10_____ 11 12____ 13_ 14 15__ 16_ 17

Chunks:

(ChunkerEvaluator) Sentence #33 from 00101234 from sent16

Text  : Współodpowiedzialny za zbrodnię katyńską , podpisał decyzję o rozstrzelaniu łącznie 25 700 osób spośród grupy polskich wojskowych i_ cywilów znajdujących się w_ obiektach NKWD ._
Tokens: 1__________________ 2_ 3_______ 4_______ 5 6_______ 7______ 8 9____________ 10_____ 11 12_ 13__ 14_____ 15___ 16______ 17________ 18 19_____ 20__________ 21_ 22 23_______ 24__ 25

Chunks:
  TruePositive nam [24,24] = NKWD (confidence=0.99)
  FalseNegative nam [3,4] = zbrodnię katyńską

(ChunkerEvaluator) Sentence #34 from 00101234 from sent17

Text  : Decyzję podjęli członkowie Biura : Beria , Stalin , Woroszyłow ,_ Mołotow ,_ Mikojan ,_ Kalinin ,_ Kaganowicz ._
Tokens: 1______ 2______ 3_________ 4____ 5 6____ 7 8_____ 9 10________ 11 12_____ 13 14_____ 15 16_____ 17 18________ 19

Chunks:
  TruePositive nam [6,6] = Beria (confidence=0.60)
  TruePositive nam [8,8] = Stalin (confidence=1.00)
  TruePositive nam [10,10] = Woroszyłow (confidence=1.00)
  TruePositive nam [12,12] = Mołotow (confidence=1.00)
  TruePositive nam [14,14] = Mikojan (confidence=1.00)
  TruePositive nam [16,16] = Kalinin (confidence=1.00)
  TruePositive nam [18,18] = Kaganowicz (confidence=1.00)
  FalsePositive nam [4,4] = Biura (confidence=0.94) (incorrect boundry)

(ChunkerEvaluator) Sentence #35 from 00101234 from sent18

Text  : Zgodnie z nią zamordowano wiosną 1940 r . 21 857 osób ._
Tokens: 1______ 2 3__ 4__________ 5_____ 6___ 7 8 9_ 10_ 11__ 12

Chunks:

2017-06-14 20:02:39,898 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101263.xml
(ChunkerEvaluator) Sentence #36 from 00101263 from sent1

Text  : Arłamów
Tokens: 1______

Chunks:
  TruePositive nam [1,1] = Arłamów (confidence=0.99)

(ChunkerEvaluator) Sentence #37 from 00101263 from sent2

Text  : Arłamów – nieistniejąca wieś w województwie podkarpackim , w powiecie bieszczadzkim ,_ w_ gminie Ustrzyki Dolne ,_ na terenie Pogórza Przemyskiego ._
Tokens: 1______ 2 3____________ 4___ 5 6___________ 7___________ 8 9 10______ 11___________ 12 13 14____ 15______ 16___ 17 18 19_____ 20_____ 21__________ 22

Chunks:
  TruePositive nam [1,1] = Arłamów (confidence=0.97)
  TruePositive nam [7,7] = podkarpackim (confidence=0.99)
  TruePositive nam [11,11] = bieszczadzkim (confidence=0.99)
  TruePositive nam [15,16] = Ustrzyki Dolne (confidence=1.00)
  TruePositive nam [20,21] = Pogórza Przemyskiego (confidence=0.96)

(ChunkerEvaluator) Sentence #38 from 00101263 from sent3

Text  : W latach 1975 – 1998 miejscowość położona była w województwie krośnieńskim ._
Tokens: 1 2_____ 3___ 4 5___ 6__________ 7_______ 8___ 9 10__________ 11__________ 12

Chunks:
  TruePositive nam [11,11] = krośnieńskim (confidence=0.97)

(ChunkerEvaluator) Sentence #39 from 00101263 from sent4

Text  : Według tradycji nazwa miejscowości pochodzi od osiedlonych tu w czasach książąt ruskich tatarskich jeńców ,_ tzw ._ arłamanów (_ włóczęgów )_ ._
Tokens: 1_____ 2_______ 3____ 4___________ 5_______ 6_ 7__________ 8_ 9 10_____ 11_____ 12_____ 13________ 14____ 15 16_ 17 18_______ 19 20_______ 21 22

Chunks:

(ChunkerEvaluator) Sentence #40 from 00101263 from sent5

Text  : Ponowna lokacja na prawie wołoskim miała miejsce pod koniec XV w_ ._ i_ dokonał jej Jan Herburt (_ Arłamowski )_ (_ 1470 –_ 1508 )_ –_ poseł województwa ruskiego –_ pierwszy właściciel –_ wójt samborski ._
Tokens: 1______ 2______ 3_ 4_____ 5_______ 6____ 7______ 8__ 9_____ 10 11 12 13 14_____ 15_ 16_ 17_____ 18 19________ 20 21 22__ 23 24__ 25 26 27___ 28_________ 29______ 30 31______ 32________ 33 34__ 35_______ 36

Chunks:
  TruePositive nam [29,29] = ruskiego (confidence=0.81)
  FalsePositive nam [16,17] = Jan Herburt (confidence=1.00) (incorrect boundry)
  FalsePositive nam [19,19] = Arłamowski (confidence=0.99) (incorrect boundry)
  FalseNegative nam [16,19] = Jan Herburt ( Arłamowski

(ChunkerEvaluator) Sentence #41 from 00101263 from sent6

Text  : Potem właścicielami byli jego spadkobiercy , którzy przyjęli nazwisko Arłamowscy ._
Tokens: 1____ 2____________ 3___ 4___ 5___________ 6 7_____ 8_______ 9_______ 10________ 11

Chunks:
  TruePositive nam [10,10] = Arłamowscy (confidence=0.85)

(ChunkerEvaluator) Sentence #42 from 00101263 from sent7

Text  : W 1776 r . Arłamów wraz z posiadłościami dobromilskimi kupił rząd austriacki ,_ włączając je w_ skład dóbr państwowych ,_ tzw ._ kameralnych ._
Tokens: 1 2___ 3 4 5______ 6___ 7 8_____________ 9____________ 10___ 11__ 12________ 13 14_______ 15 16 17___ 18__ 19_________ 20 21_ 22 23_________ 24

Chunks:
  TruePositive nam [5,5] = Arłamów (confidence=1.00)

(ChunkerEvaluator) Sentence #43 from 00101263 from sent8

Text  : Od 1644 r . istniała we wsi parafia prawosławna ,_ później greckokatolicka ._
Tokens: 1_ 2___ 3 4 5_______ 6_ 7__ 8______ 9__________ 10 11_____ 12_____________ 13

Chunks:

(ChunkerEvaluator) Sentence #44 from 00101263 from sent9

Text  : Z kilku cerkwi ostatnia wybudowana była w 1914 r ._
Tokens: 1 2____ 3_____ 4_______ 5_________ 6___ 7 8___ 9 10

Chunks:

(ChunkerEvaluator) Sentence #45 from 00101263 from sent10

Text  : Uległa zniszczeniu wraz z całą wsią w roku 1945 ._
Tokens: 1_____ 2__________ 3___ 4 5___ 6___ 7 8___ 9___ 10

Chunks:

(ChunkerEvaluator) Sentence #46 from 00101263 from sent11

Text  : W 1921 r . Arłamów liczył 144 domy i 879 mieszkańców (_ 873 wyznania greckokatolickiego ,_ 9_ rzymskokatolickiego ,_ 15 mojżeszowego )_ ._
Tokens: 1 2___ 3 4 5______ 6_____ 7__ 8___ 9 10_ 11_________ 12 13_ 14______ 15________________ 16 17 18_________________ 19 20 21__________ 22 23

Chunks:
  TruePositive nam [5,5] = Arłamów (confidence=1.00)

(ChunkerEvaluator) Sentence #47 from 00101263 from sent12

Text  : Większość mieszkańców wysiedlono na Ukrainę w 1946 r . a_ ostatnie 200 osób w_ ramach Akcji "_ Wisła "_ ._
Tokens: 1________ 2__________ 3_________ 4_ 5______ 6 7___ 8 9 10 11______ 12_ 13__ 14 15____ 16___ 17 18___ 19 20

Chunks:
  TruePositive nam [5,5] = Ukrainę (confidence=1.00)
  TruePositive nam [16,18] = Akcji " Wisła (confidence=0.98)

(ChunkerEvaluator) Sentence #48 from 00101263 from sent13

Text  : W latach 70 . XX w . na terenach zniszczonej wsi powstał Ośrodek Wypoczynkowy Urzędu Rady Ministrów ._
Tokens: 1 2_____ 3_ 4 5_ 6 7 8_ 9_______ 10_________ 11_ 12_____ 13_____ 14__________ 15____ 16__ 17_______ 18

Chunks:
  TruePositive nam [15,17] = Urzędu Rady Ministrów (confidence=0.92)
  FalsePositive nam [13,13] = Ośrodek (confidence=0.95) (incorrect boundry)
  FalseNegative nam [13,14] = Ośrodek Wypoczynkowy

(ChunkerEvaluator) Sentence #49 from 00101263 from sent14

Text  : W oficjalnych dokumentach rządowych oznaczany był kryptonimem " W -_ 2_ "_ (_ "_ W_ -_ 1_ "_ to Łańsk koło Olsztyna )_ ._
Tokens: 1 2__________ 3__________ 4________ 5________ 6__ 7__________ 8 9 10 11 12 13 14 15 16 17 18 19 20___ 21__ 22______ 23 24

Chunks:
  TruePositive nam [15,17] = W - 1 (confidence=0.96)
  TruePositive nam [20,20] = Łańsk (confidence=1.00)
  TruePositive nam [22,22] = Olsztyna (confidence=1.00)
  FalsePositive nam [9,12] = W - 2 " (confidence=1.00) (incorrect boundry)
  FalseNegative nam [9,11] = W - 2

(ChunkerEvaluator) Sentence #50 from 00101263 from sent15

Text  : Oprócz Arłamowa ośrodek obejmował tereny wsi : Borysławka , Grąziowa ,_ Jamna Górna ,_ Jamna Dolna ,_ Krajna ,_ Kwaszenina ,_ Łomna i_ Trójca ,_ łącznie 23 000 ha ._
Tokens: 1_____ 2_______ 3______ 4________ 5_____ 6__ 7 8_________ 9 10______ 11 12___ 13___ 14 15___ 16___ 17 18____ 19 20________ 21 22___ 23 24____ 25 26_____ 27 28_ 29 30

Chunks:
  TruePositive nam [2,2] = Arłamowa (confidence=0.99)
  TruePositive nam [8,8] = Borysławka (confidence=1.00)
  TruePositive nam [10,10] = Grąziowa (confidence=1.00)
  TruePositive nam [12,13] = Jamna Górna (confidence=1.00)
  TruePositive nam [15,16] = Jamna Dolna (confidence=1.00)
  TruePositive nam [18,18] = Krajna (confidence=1.00)
  TruePositive nam [20,20] = Kwaszenina (confidence=1.00)
  TruePositive nam [22,22] = Łomna (confidence=0.97)
  TruePositive nam [24,24] = Trójca (confidence=1.00)

(ChunkerEvaluator) Sentence #51 from 00101263 from sent16

Text  : Całość otoczono wysokim na 3 m ogrodzeniem z siatki o_ długości ponad 80 km ._
Tokens: 1_____ 2_______ 3______ 4_ 5 6 7__________ 8 9_____ 10 11______ 12___ 13 14 15

Chunks:

(ChunkerEvaluator) Sentence #52 from 00101263 from sent17

Text  : W ogrodzenie wkomponowane były przejścia dla zwierząt , tak skonstruowane ,_ by dało się przejść tylko w_ kierunku do środka ._
Tokens: 1 2_________ 3___________ 4___ 5________ 6__ 7_______ 8 9__ 10___________ 11 12 13__ 14_ 15_____ 16___ 17 18______ 19 20____ 21

Chunks:

(ChunkerEvaluator) Sentence #53 from 00101263 from sent18

Text  : Wewnątrz ogrodzonego terenu znalazł się także rezerwat Turnica .
Tokens: 1_______ 2__________ 3_____ 4______ 5__ 6____ 7_______ 8______ 9

Chunks:
  TruePositive nam [8,8] = Turnica (confidence=0.99)

(ChunkerEvaluator) Sentence #54 from 00101263 from sent19

Text  : Wszystkie drogi dojazdowe zamknięte były stalowymi szlabanami i strzeżone przez uzbrojone patrole wojskowe ._
Tokens: 1________ 2____ 3________ 4________ 5___ 6________ 7_________ 8 9________ 10___ 11_______ 12_____ 13______ 14

Chunks:

(ChunkerEvaluator) Sentence #55 from 00101263 from sent20

Text  : Ośrodek służył jako miejsce polowań dla elity partyjno - rządowej oraz ich gości z_ "_ bratnich krajów "_ ._
Tokens: 1______ 2_____ 3___ 4______ 5______ 6__ 7____ 8_______ 9 10______ 11__ 12_ 13___ 14 15 16______ 17____ 18 19

Chunks:

(ChunkerEvaluator) Sentence #56 from 00101263 from sent21

Text  : Dla nich też zostało zbudowane specjalne lotnisko w Krajnej w_ pobliżu Birczy ._
Tokens: 1__ 2___ 3__ 4______ 5________ 6________ 7_______ 8 9______ 10 11_____ 12____ 13

Chunks:
  TruePositive nam [9,9] = Krajnej (confidence=0.78)
  TruePositive nam [12,12] = Birczy (confidence=0.94)

(ChunkerEvaluator) Sentence #57 from 00101263 from sent22

Text  : Po wprowadzeniu stanu wojennego w Arłamowie internowany był na początku 1982 r_ ._ przewodniczący "_ Solidarności "_ Lech Wałęsa ._
Tokens: 1_ 2___________ 3____ 4________ 5 6________ 7__________ 8__ 9_ 10______ 11__ 12 13 14____________ 15 16__________ 17 18__ 19____ 20

Chunks:
  TruePositive nam [6,6] = Arłamowie (confidence=1.00)
  TruePositive nam [16,16] = Solidarności (confidence=0.68)
  TruePositive nam [18,19] = Lech Wałęsa (confidence=0.95)

(ChunkerEvaluator) Sentence #58 from 00101263 from sent23

Text  : W 1989 r . ośrodek rządowy uległ likwidacji , a_ dawny hotel został przejęty przez gminę Ustrzyki Dolne ._
Tokens: 1 2___ 3 4 5______ 6______ 7____ 8_________ 9 10 11___ 12___ 13____ 14______ 15___ 16___ 17______ 18___ 19

Chunks:
  TruePositive nam [17,18] = Ustrzyki Dolne (confidence=0.99)

(ChunkerEvaluator) Sentence #59 from 00101263 from sent24

Text  : Posterunki przy wjazdach przetrwały do połowy 1991 r .
Tokens: 1_________ 2___ 3_______ 4_________ 5_ 6_____ 7___ 8 9

Chunks:

(ChunkerEvaluator) Sentence #60 from 00101263 from sent25

Text  : W roku 1996 hotel wraz z budynkami gospodarczymi i przyległym terenem został zakupiony przez Fabrykę Urządzeń Mechanicznych "_ KAMAX "_ z_ Kańczugi ._
Tokens: 1 2___ 3___ 4____ 5___ 6 7________ 8____________ 9 10________ 11_____ 12____ 13_______ 14___ 15_____ 16______ 17___________ 18 19___ 20 21 22______ 23

Chunks:
  TruePositive nam [15,20] = Fabrykę Urządzeń Mechanicznych " KAMAX " (confidence=1.00)
  TruePositive nam [22,22] = Kańczugi (confidence=0.95)

(ChunkerEvaluator) Sentence #61 from 00101263 from sent26

Text  : W zimie funkcjonują tu dwa orczykowe wyciągi narciarskie .
Tokens: 1 2____ 3__________ 4_ 5__ 6________ 7______ 8__________ 9

Chunks:

2017-06-14 20:02:40,061 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101276.xml
(ChunkerEvaluator) Sentence #62 from 00101276 from sent1

Text  : Sulejów ( województwo mazowieckie )
Tokens: 1______ 2 3__________ 4__________ 5

Chunks:
  TruePositive nam [1,1] = Sulejów (confidence=1.00)
  TruePositive nam [4,4] = mazowieckie (confidence=0.99)

(ChunkerEvaluator) Sentence #63 from 00101276 from sent2

Text  : Sulejów – wieś w Polsce położona w województwie mazowieckim ,_ w_ powiecie wołomińskim ,_ w_ gminie Jadów ._
Tokens: 1______ 2 3___ 4 5_____ 6_______ 7 8___________ 9__________ 10 11 12______ 13_________ 14 15 16____ 17___ 18

Chunks:
  TruePositive nam [1,1] = Sulejów (confidence=1.00)
  TruePositive nam [5,5] = Polsce (confidence=1.00)
  TruePositive nam [9,9] = mazowieckim (confidence=1.00)
  TruePositive nam [13,13] = wołomińskim (confidence=1.00)
  TruePositive nam [17,17] = Jadów (confidence=1.00)

(ChunkerEvaluator) Sentence #64 from 00101276 from sent3

Text  : W latach 1975 - 1998 miejscowość położona była w województwie siedleckim ._
Tokens: 1 2_____ 3___ 4 5___ 6__________ 7_______ 8___ 9 10__________ 11________ 12

Chunks:
  TruePositive nam [11,11] = siedleckim (confidence=0.95)

2017-06-14 20:02:40,074 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 7 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101294.xml
(ChunkerEvaluator) Sentence #65 from 00101294 from sent1

Text  : Gwardia Imperium Rosyjskiego
Tokens: 1______ 2_______ 3__________

Chunks:
  FalsePositive nam [1,3] = Gwardia Imperium Rosyjskiego (confidence=0.98) (incorrect boundry)
  FalseNegative nam [1,1] = Gwardia
  FalseNegative nam [2,3] = Imperium Rosyjskiego

(ChunkerEvaluator) Sentence #66 from 00101294 from sent2

Text  : Gwardia Imperium Rosyjskiego - formacja reprezentacyjna Imperium Rosyjskiego i osobista straż cesarza Rosji ._
Tokens: 1______ 2_______ 3__________ 4 5_______ 6______________ 7_______ 8__________ 9 10______ 11___ 12_____ 13___ 14

Chunks:
  TruePositive nam [7,8] = Imperium Rosyjskiego (confidence=0.83)
  TruePositive nam [13,13] = Rosji (confidence=1.00)
  FalsePositive nam [1,3] = Gwardia Imperium Rosyjskiego (confidence=0.98) (incorrect boundry)
  FalseNegative nam [1,1] = Gwardia
  FalseNegative nam [2,3] = Imperium Rosyjskiego

(ChunkerEvaluator) Sentence #67 from 00101294 from sent3

Text  : Jej pierwszy oddział sformował Piotr I Wielki w 1690 ._
Tokens: 1__ 2_______ 3______ 4________ 5____ 6 7_____ 8 9___ 10

Chunks:
  TruePositive nam [5,7] = Piotr I Wielki (confidence=1.00)

(ChunkerEvaluator) Sentence #68 from 00101294 from sent4

Text  : Organizacja
Tokens: 1__________

Chunks:

(ChunkerEvaluator) Sentence #69 from 00101294 from sent5

Text  : Struktura organizacyjna Gwardii Imperium Rosyjskiego na początku 1914 :
Tokens: 1________ 2____________ 3______ 4_______ 5__________ 6_ 7_______ 8___ 9

Chunks:
  FalsePositive nam [3,5] = Gwardii Imperium Rosyjskiego (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,3] = Gwardii
  FalseNegative nam [4,5] = Imperium Rosyjskiego

(ChunkerEvaluator) Sentence #70 from 00101294 from sent6

Text  : Korpus Gwardii
Tokens: 1_____ 2______

Chunks:
  TruePositive nam [1,2] = Korpus Gwardii (confidence=0.97)

(ChunkerEvaluator) Sentence #71 from 00101294 from sent7

Text  : Petersburski Okręg Wojskowy - Sankt Petersburg , Miljonaja .
Tokens: 1___________ 2____ 3_______ 4 5____ 6_________ 7 8________ 9

Chunks:
  TruePositive nam [1,3] = Petersburski Okręg Wojskowy (confidence=0.95)
  TruePositive nam [5,6] = Sankt Petersburg (confidence=0.79)
  TruePositive nam [8,8] = Miljonaja (confidence=0.96)

(ChunkerEvaluator) Sentence #72 from 00101294 from sent8

Text  : 1 Dywizja Piechoty Gwardii - Sankt Petersburg , Fontanka ._
Tokens: 1 2______ 3_______ 4______ 5 6____ 7_________ 8 9_______ 10

Chunks:
  TruePositive nam [1,4] = 1 Dywizja Piechoty Gwardii (confidence=0.76)
  TruePositive nam [6,7] = Sankt Petersburg (confidence=0.77)
  TruePositive nam [9,9] = Fontanka (confidence=0.99)

(ChunkerEvaluator) Sentence #73 from 00101294 from sent9

Text  : * 1 Brygada :
Tokens: 1 2 3______ 4

Chunks:
  FalseNegative nam [2,3] = 1 Brygada

(ChunkerEvaluator) Sentence #74 from 00101294 from sent10

Text  : * * Lejb - Gwardyjski Przeobrażeński Pułk Jego Wysokości
Tokens: 1 2 3___ 4 5_________ 6_____________ 7___ 8___ 9________

Chunks:
  FalsePositive nam [3,5] = Lejb - Gwardyjski (confidence=0.76) (incorrect boundry)
  FalsePositive nam [6,9] = Przeobrażeński Pułk Jego Wysokości (confidence=0.86) (incorrect boundry)
  FalseNegative nam [3,9] = Lejb - Gwardyjski Przeobrażeński Pułk Jego Wysokości

(ChunkerEvaluator) Sentence #75 from 00101294 from sent11

Text  : * * Lejb - Gwardyjski Semenowski Pułk
Tokens: 1 2 3___ 4 5_________ 6_________ 7___

Chunks:
  FalsePositive nam [3,5] = Lejb - Gwardyjski (confidence=0.76) (incorrect boundry)
  FalsePositive nam [6,7] = Semenowski Pułk (confidence=0.83) (incorrect boundry)
  FalseNegative nam [3,7] = Lejb - Gwardyjski Semenowski Pułk

(ChunkerEvaluator) Sentence #76 from 00101294 from sent12

Text  : * 2 Brygada :
Tokens: 1 2 3______ 4

Chunks:
  FalseNegative nam [2,3] = 2 Brygada

(ChunkerEvaluator) Sentence #77 from 00101294 from sent13

Text  : * * Lejb - Gwardyjski Izmaiłowski Pułk
Tokens: 1 2 3___ 4 5_________ 6__________ 7___

Chunks:
  FalsePositive nam [3,5] = Lejb - Gwardyjski (confidence=0.75) (incorrect boundry)
  FalsePositive nam [6,7] = Izmaiłowski Pułk (confidence=0.90) (incorrect boundry)
  FalseNegative nam [3,7] = Lejb - Gwardyjski Izmaiłowski Pułk

(ChunkerEvaluator) Sentence #78 from 00101294 from sent14

Text  : * * Lejb - Gwardyjski Pułk Jegrów
Tokens: 1 2 3___ 4 5_________ 6___ 7_____

Chunks:
  FalsePositive nam [3,3] = Lejb (confidence=0.61) (incorrect boundry)
  FalsePositive nam [5,7] = Gwardyjski Pułk Jegrów (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,7] = Lejb - Gwardyjski Pułk Jegrów

(ChunkerEvaluator) Sentence #79 from 00101294 from sent15

Text  : * 1 Lejb - Gwardyjska Brygada Artylerii
Tokens: 1 2 3___ 4 5_________ 6______ 7________

Chunks:
  FalsePositive nam [3,7] = Lejb - Gwardyjska Brygada Artylerii (confidence=0.96) (incorrect boundry)
  FalseNegative nam [2,7] = 1 Lejb - Gwardyjska Brygada Artylerii

(ChunkerEvaluator) Sentence #80 from 00101294 from sent16

Text  : 2 Dywizja Piechoty Gwardii - Sankt Petersburg , Fontanka ._
Tokens: 1 2______ 3_______ 4______ 5 6____ 7_________ 8 9_______ 10

Chunks:
  TruePositive nam [1,4] = 2 Dywizja Piechoty Gwardii (confidence=0.77)
  TruePositive nam [6,7] = Sankt Petersburg (confidence=0.77)
  TruePositive nam [9,9] = Fontanka (confidence=0.99)

(ChunkerEvaluator) Sentence #81 from 00101294 from sent17

Text  : * 1 Brygada :
Tokens: 1 2 3______ 4

Chunks:
  FalseNegative nam [2,3] = 1 Brygada

(ChunkerEvaluator) Sentence #82 from 00101294 from sent18

Text  : * * Lejb - Gwardyjski Moskiewski Pułk
Tokens: 1 2 3___ 4 5_________ 6_________ 7___

Chunks:
  FalsePositive nam [3,3] = Lejb (confidence=0.73) (incorrect boundry)
  FalsePositive nam [5,7] = Gwardyjski Moskiewski Pułk (confidence=0.66) (incorrect boundry)
  FalseNegative nam [3,7] = Lejb - Gwardyjski Moskiewski Pułk

(ChunkerEvaluator) Sentence #83 from 00101294 from sent19

Text  : * * Lejb - Gwardyjski Pułk Grenadierów
Tokens: 1 2 3___ 4 5_________ 6___ 7__________

Chunks:
  FalsePositive nam [3,3] = Lejb (confidence=0.61) (incorrect boundry)
  FalsePositive nam [5,7] = Gwardyjski Pułk Grenadierów (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,7] = Lejb - Gwardyjski Pułk Grenadierów

(ChunkerEvaluator) Sentence #84 from 00101294 from sent20

Text  : * 2 Brygada :
Tokens: 1 2 3______ 4

Chunks:
  FalseNegative nam [2,3] = 2 Brygada

(ChunkerEvaluator) Sentence #85 from 00101294 from sent21

Text  : * * Lejb - Gwardyjski Pawłowski Pułk
Tokens: 1 2 3___ 4 5_________ 6________ 7___

Chunks:
  FalsePositive nam [3,3] = Lejb (confidence=0.75) (incorrect boundry)
  FalsePositive nam [5,5] = Gwardyjski (confidence=0.90) (incorrect boundry)
  FalsePositive nam [6,7] = Pawłowski Pułk (confidence=0.81) (incorrect boundry)
  FalseNegative nam [3,7] = Lejb - Gwardyjski Pawłowski Pułk

(ChunkerEvaluator) Sentence #86 from 00101294 from sent22

Text  : * * Lejb - Gwardyjski Fiński Pułk
Tokens: 1 2 3___ 4 5_________ 6_____ 7___

Chunks:
  FalsePositive nam [3,5] = Lejb - Gwardyjski (confidence=0.81) (incorrect boundry)
  FalsePositive nam [6,7] = Fiński Pułk (confidence=0.58) (incorrect boundry)
  FalseNegative nam [3,7] = Lejb - Gwardyjski Fiński Pułk

(ChunkerEvaluator) Sentence #87 from 00101294 from sent23

Text  : * 2 Lejb - Gwardyjska Brygada Artylerii
Tokens: 1 2 3___ 4 5_________ 6______ 7________

Chunks:
  FalsePositive nam [3,7] = Lejb - Gwardyjska Brygada Artylerii (confidence=0.92) (incorrect boundry)
  FalseNegative nam [2,7] = 2 Lejb - Gwardyjska Brygada Artylerii

(ChunkerEvaluator) Sentence #88 from 00101294 from sent24

Text  : * Brygada Strzelców Gwardii
Tokens: 1 2______ 3________ 4______

Chunks:
  TruePositive nam [2,4] = Brygada Strzelców Gwardii (confidence=0.96)

(ChunkerEvaluator) Sentence #89 from 00101294 from sent25

Text  : 1 Dywizja Kawalerii Gwardii - Sankt Petersburg , Fontanka ._
Tokens: 1 2______ 3________ 4______ 5 6____ 7_________ 8 9_______ 10

Chunks:
  TruePositive nam [1,4] = 1 Dywizja Kawalerii Gwardii (confidence=0.48)
  TruePositive nam [6,7] = Sankt Petersburg (confidence=0.55)
  TruePositive nam [9,9] = Fontanka (confidence=0.99)

(ChunkerEvaluator) Sentence #90 from 00101294 from sent26

Text  : * 1 Brygada :
Tokens: 1 2 3______ 4

Chunks:
  FalseNegative nam [2,3] = 1 Brygada

(ChunkerEvaluator) Sentence #91 from 00101294 from sent27

Text  : * * Pułk Szwoleżerów Gwardii Jej Wysokości Marii Fiodorowny
Tokens: 1 2 3___ 4__________ 5______ 6__ 7________ 8____ 9_________

Chunks:
  FalsePositive nam [4,9] = Szwoleżerów Gwardii Jej Wysokości Marii Fiodorowny (confidence=0.43) (incorrect boundry)
  FalseNegative nam [3,9] = Pułk Szwoleżerów Gwardii Jej Wysokości Marii Fiodorowny

(ChunkerEvaluator) Sentence #92 from 00101294 from sent28

Text  : * * Lejb - Gwardyjski Pułk Konny
Tokens: 1 2 3___ 4 5_________ 6___ 7____

Chunks:
  FalsePositive nam [3,3] = Lejb (confidence=0.61) (incorrect boundry)
  FalsePositive nam [5,7] = Gwardyjski Pułk Konny (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,7] = Lejb - Gwardyjski Pułk Konny

(ChunkerEvaluator) Sentence #93 from 00101294 from sent29

Text  : * 2 Brygada :
Tokens: 1 2 3______ 4

Chunks:
  FalseNegative nam [2,3] = 2 Brygada

(ChunkerEvaluator) Sentence #94 from 00101294 from sent30

Text  : * * Lejb - Gwardyjski Pułk Kirasjerów Jego Wysokości
Tokens: 1 2 3___ 4 5_________ 6___ 7_________ 8___ 9________

Chunks:
  FalsePositive nam [3,3] = Lejb (confidence=0.61) (incorrect boundry)
  FalsePositive nam [5,9] = Gwardyjski Pułk Kirasjerów Jego Wysokości (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,9] = Lejb - Gwardyjski Pułk Kirasjerów Jego Wysokości

(ChunkerEvaluator) Sentence #95 from 00101294 from sent31

Text  : * * Lejb - Gwardyjski Pułk Kirasjerów Jej Wysokości Marii Fiodorowny
Tokens: 1 2 3___ 4 5_________ 6___ 7_________ 8__ 9________ 10___ 11________

Chunks:
  FalsePositive nam [3,3] = Lejb (confidence=0.61) (incorrect boundry)
  FalsePositive nam [5,11] = Gwardyjski Pułk Kirasjerów Jej Wysokości Marii Fiodorowny (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,11] = Lejb - Gwardyjski Pułk Kirasjerów Jej Wysokości Marii Fiodorowny

(ChunkerEvaluator) Sentence #96 from 00101294 from sent32

Text  : * 3 Brygada :
Tokens: 1 2 3______ 4

Chunks:
  FalseNegative nam [2,3] = 3 Brygada

(ChunkerEvaluator) Sentence #97 from 00101294 from sent33

Text  : * * Lejb - Gwardyjski Pułk Kozaków Jego Wysokości
Tokens: 1 2 3___ 4 5_________ 6___ 7______ 8___ 9________

Chunks:
  FalsePositive nam [3,3] = Lejb (confidence=0.61) (incorrect boundry)
  FalsePositive nam [5,9] = Gwardyjski Pułk Kozaków Jego Wysokości (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,9] = Lejb - Gwardyjski Pułk Kozaków Jego Wysokości

(ChunkerEvaluator) Sentence #98 from 00101294 from sent34

Text  : * * Lejb - Gwardyjski Atamański Pułk Jego Wysokości
Tokens: 1 2 3___ 4 5_________ 6________ 7___ 8___ 9________

Chunks:
  FalsePositive nam [3,5] = Lejb - Gwardyjski (confidence=0.77) (incorrect boundry)
  FalsePositive nam [6,9] = Atamański Pułk Jego Wysokości (confidence=0.83) (incorrect boundry)
  FalseNegative nam [3,9] = Lejb - Gwardyjski Atamański Pułk Jego Wysokości

(ChunkerEvaluator) Sentence #99 from 00101294 from sent35

Text  : * * Lejb - Gwardyjski Kombinowany Pułk Kozaków
Tokens: 1 2 3___ 4 5_________ 6__________ 7___ 8______

Chunks:
  FalsePositive nam [3,3] = Lejb (confidence=0.74) (incorrect boundry)
  FalsePositive nam [5,8] = Gwardyjski Kombinowany Pułk Kozaków (confidence=0.64) (incorrect boundry)
  FalseNegative nam [3,8] = Lejb - Gwardyjski Kombinowany Pułk Kozaków

(ChunkerEvaluator) Sentence #100 from 00101294 from sent36

Text  : * * 1 sotnia uralska Jego Wysokości
Tokens: 1 2 3 4_____ 5______ 6___ 7________

Chunks:
  FalseNegative nam [3,7] = 1 sotnia uralska Jego Wysokości

(ChunkerEvaluator) Sentence #101 from 00101294 from sent37

Text  : * * 2 sotnia orenburska
Tokens: 1 2 3 4_____ 5_________

Chunks:
  FalseNegative nam [3,5] = 2 sotnia orenburska

(ChunkerEvaluator) Sentence #102 from 00101294 from sent38

Text  : * * 3 sotnia kombinowana
Tokens: 1 2 3 4_____ 5__________

Chunks:
  FalseNegative nam [3,5] = 3 sotnia kombinowana

(ChunkerEvaluator) Sentence #103 from 00101294 from sent39

Text  : * * 4 sotnia amurska
Tokens: 1 2 3 4_____ 5______

Chunks:
  FalseNegative nam [3,5] = 4 sotnia amurska

(ChunkerEvaluator) Sentence #104 from 00101294 from sent40

Text  : 1 Lejb - Gwardyjska Brygada Artylerii Konnej
Tokens: 1 2___ 3 4_________ 5______ 6________ 7_____

Chunks:
  FalsePositive nam [2,7] = Lejb - Gwardyjska Brygada Artylerii Konnej (confidence=0.97) (incorrect boundry)
  FalseNegative nam [1,7] = 1 Lejb - Gwardyjska Brygada Artylerii Konnej

(ChunkerEvaluator) Sentence #105 from 00101294 from sent41

Text  : 2 Dywizja Kawalerii Gwardii - St . Petersburg , Fontanka ._
Tokens: 1 2______ 3________ 4______ 5 6_ 7 8_________ 9 10______ 11

Chunks:
  TruePositive nam [1,4] = 2 Dywizja Kawalerii Gwardii (confidence=0.48)
  TruePositive nam [6,8] = St . Petersburg (confidence=0.73)
  TruePositive nam [10,10] = Fontanka (confidence=0.99)

(ChunkerEvaluator) Sentence #106 from 00101294 from sent42

Text  : * 1 Brygada :
Tokens: 1 2 3______ 4

Chunks:
  FalseNegative nam [2,3] = 1 Brygada

(ChunkerEvaluator) Sentence #107 from 00101294 from sent43

Text  : * * Lejb - Gwardyjski Pułk Grenadierów Konnych
Tokens: 1 2 3___ 4 5_________ 6___ 7__________ 8______

Chunks:
  FalsePositive nam [3,3] = Lejb (confidence=0.61) (incorrect boundry)
  FalsePositive nam [5,8] = Gwardyjski Pułk Grenadierów Konnych (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,8] = Lejb - Gwardyjski Pułk Grenadierów Konnych

(ChunkerEvaluator) Sentence #108 from 00101294 from sent44

Text  : * * Lejb - Gwardyjski Pułk Lansjerów Jej Wysokości Marii Teodorowny
Tokens: 1 2 3___ 4 5_________ 6___ 7________ 8__ 9________ 10___ 11________

Chunks:
  FalsePositive nam [3,3] = Lejb (confidence=0.61) (incorrect boundry)
  FalsePositive nam [5,11] = Gwardyjski Pułk Lansjerów Jej Wysokości Marii Teodorowny (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,11] = Lejb - Gwardyjski Pułk Lansjerów Jej Wysokości Marii Teodorowny

(ChunkerEvaluator) Sentence #109 from 00101294 from sent45

Text  : * 2 Brygada :
Tokens: 1 2 3______ 4

Chunks:
  FalseNegative nam [2,3] = 2 Brygada

(ChunkerEvaluator) Sentence #110 from 00101294 from sent46

Text  : * * Lejb - Gwardyjski Pułk Dragonów
Tokens: 1 2 3___ 4 5_________ 6___ 7_______

Chunks:
  FalsePositive nam [3,3] = Lejb (confidence=0.61) (incorrect boundry)
  FalsePositive nam [5,7] = Gwardyjski Pułk Dragonów (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,7] = Lejb - Gwardyjski Pułk Dragonów

(ChunkerEvaluator) Sentence #111 from 00101294 from sent47

Text  : * * Lejb - Gwardyjski Pułk Huzarów Jego Wysokości
Tokens: 1 2 3___ 4 5_________ 6___ 7______ 8___ 9________

Chunks:
  FalsePositive nam [3,3] = Lejb (confidence=0.61) (incorrect boundry)
  FalsePositive nam [5,9] = Gwardyjski Pułk Huzarów Jego Wysokości (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,9] = Lejb - Gwardyjski Pułk Huzarów Jego Wysokości

(ChunkerEvaluator) Sentence #112 from 00101294 from sent48

Text  : 2 Lejb - Gwardyjska Brygada Artylerii Konnej
Tokens: 1 2___ 3 4_________ 5______ 6________ 7_____

Chunks:
  FalsePositive nam [2,7] = Lejb - Gwardyjska Brygada Artylerii Konnej (confidence=1.00) (incorrect boundry)
  FalseNegative nam [1,7] = 2 Lejb - Gwardyjska Brygada Artylerii Konnej

(ChunkerEvaluator) Sentence #113 from 00101294 from sent49

Text  : Samodzielna Brygada Kawalerii Gwardii – Warszawa
Tokens: 1__________ 2______ 3________ 4______ 5 6_______

Chunks:
  TruePositive nam [1,4] = Samodzielna Brygada Kawalerii Gwardii (confidence=0.86)
  TruePositive nam [6,6] = Warszawa (confidence=0.90)

(ChunkerEvaluator) Sentence #114 from 00101294 from sent50

Text  : 1 Lejb - Gwardyjska Brygada Artylerii
Tokens: 1 2___ 3 4_________ 5______ 6________

Chunks:
  FalsePositive nam [2,6] = Lejb - Gwardyjska Brygada Artylerii (confidence=0.97) (incorrect boundry)
  FalseNegative nam [1,6] = 1 Lejb - Gwardyjska Brygada Artylerii

(ChunkerEvaluator) Sentence #115 from 00101294 from sent51

Text  : 2 Lejb - Gwardyjska Brygada Artylerii
Tokens: 1 2___ 3 4_________ 5______ 6________

Chunks:
  FalsePositive nam [2,6] = Lejb - Gwardyjska Brygada Artylerii (confidence=1.00) (incorrect boundry)
  FalseNegative nam [1,6] = 2 Lejb - Gwardyjska Brygada Artylerii

(ChunkerEvaluator) Sentence #116 from 00101294 from sent52

Text  : Lejb - gwardyjska artyleria konna
Tokens: 1___ 2 3_________ 4________ 5____

Chunks:
  FalsePositive nam [1,1] = Lejb (confidence=0.84) (incorrect boundry)
  FalseNegative nam [1,5] = Lejb - gwardyjska artyleria konna

(ChunkerEvaluator) Sentence #117 from 00101294 from sent53

Text  : Gwardyjski batalion artylerii haubic
Tokens: 1_________ 2_______ 3________ 4_____

Chunks:
  FalseNegative nam [1,4] = Gwardyjski batalion artylerii haubic

(ChunkerEvaluator) Sentence #118 from 00101294 from sent54

Text  : Lejb - gwardyjski batalion saperów
Tokens: 1___ 2 3_________ 4_______ 5______

Chunks:
  TruePositive nam [1,5] = Lejb - gwardyjski batalion saperów (confidence=0.99)

(ChunkerEvaluator) Sentence #119 from 00101294 from sent55

Text  : Gwardyjska kompania lotnicza
Tokens: 1_________ 2_______ 3_______

Chunks:
  FalseNegative nam [1,3] = Gwardyjska kompania lotnicza

(ChunkerEvaluator) Sentence #120 from 00101294 from sent56

Text  : 23 Korpus Armijny
Tokens: 1_ 2_____ 3______

Chunks:
  FalsePositive nam [2,3] = Korpus Armijny (confidence=0.95) (incorrect boundry)
  FalseNegative nam [1,3] = 23 Korpus Armijny

(ChunkerEvaluator) Sentence #121 from 00101294 from sent57

Text  : 23 Korpus Armijny Imperium Rosyjskiego - Warszawski Okręg Wojskowy ._
Tokens: 1_ 2_____ 3______ 4_______ 5__________ 6 7_________ 8____ 9_______ 10

Chunks:
  FalsePositive nam [2,9] = Korpus Armijny Imperium Rosyjskiego - Warszawski Okręg Wojskowy (confidence=0.98) (incorrect boundry)
  FalseNegative nam [1,3] = 23 Korpus Armijny
  FalseNegative nam [4,5] = Imperium Rosyjskiego
  FalseNegative nam [7,9] = Warszawski Okręg Wojskowy

(ChunkerEvaluator) Sentence #122 from 00101294 from sent58

Text  : Siedziba : Warszawa .
Tokens: 1_______ 2 3_______ 4

Chunks:
  TruePositive nam [3,3] = Warszawa (confidence=0.89)

(ChunkerEvaluator) Sentence #123 from 00101294 from sent59

Text  : 3 Dywizja Piechoty Gwardii - Warszawa .
Tokens: 1 2______ 3_______ 4______ 5 6_______ 7

Chunks:
  TruePositive nam [1,4] = 3 Dywizja Piechoty Gwardii (confidence=0.90)
  TruePositive nam [6,6] = Warszawa (confidence=0.98)

(ChunkerEvaluator) Sentence #124 from 00101294 from sent60

Text  : * 1 Brygada :
Tokens: 1 2 3______ 4

Chunks:
  FalseNegative nam [2,3] = 1 Brygada

(ChunkerEvaluator) Sentence #125 from 00101294 from sent61

Text  : * * Lejb - Gwardyjski Litewski Pułk
Tokens: 1 2 3___ 4 5_________ 6_______ 7___

Chunks:
  FalsePositive nam [3,5] = Lejb - Gwardyjski (confidence=0.84) (incorrect boundry)
  FalsePositive nam [6,7] = Litewski Pułk (confidence=0.65) (incorrect boundry)
  FalseNegative nam [3,7] = Lejb - Gwardyjski Litewski Pułk

(ChunkerEvaluator) Sentence #126 from 00101294 from sent62

Text  : * * Lejb - Gwardyjski Keksholmski Pułk im . Cesarza Austriackiego ._
Tokens: 1 2 3___ 4 5_________ 6__________ 7___ 8_ 9 10_____ 11___________ 12

Chunks:
  FalsePositive nam [3,5] = Lejb - Gwardyjski (confidence=0.80) (incorrect boundry)
  FalsePositive nam [6,11] = Keksholmski Pułk im . Cesarza Austriackiego (confidence=0.78) (incorrect boundry)
  FalseNegative nam [3,11] = Lejb - Gwardyjski Keksholmski Pułk im . Cesarza Austriackiego

2017-06-14 20:02:40,201 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 8 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101306.xml
(ChunkerEvaluator) Sentence #127 from 00101306 from sent1

Text  : Jerzy Sulima - Kamiński
Tokens: 1____ 2_____ 3 4_______

Chunks:
  TruePositive nam [1,4] = Jerzy Sulima - Kamiński (confidence=1.00)

(ChunkerEvaluator) Sentence #128 from 00101306 from sent2

Text  : Jerzy Sulima - Kamiński ( ur . 20 września 1928 w_ Bydgoszczy ,_ zm ._ 2002 )_ –_ polski pisarz ,_ poeta i_ dziennikarz radiowy ._
Tokens: 1____ 2_____ 3 4_______ 5 6_ 7 8_ 9_______ 10__ 11 12________ 13 14 15 16__ 17 18 19____ 20____ 21 22___ 23 24_________ 25_____ 26

Chunks:
  TruePositive nam [1,4] = Jerzy Sulima - Kamiński (confidence=1.00)
  TruePositive nam [12,12] = Bydgoszczy (confidence=1.00)

(ChunkerEvaluator) Sentence #129 from 00101306 from sent3

Text  : Pochodził z rodziny urzędnika państwowego Bolesława Kamińskiego .
Tokens: 1________ 2 3______ 4________ 5__________ 6________ 7__________ 8

Chunks:
  TruePositive nam [6,7] = Bolesława Kamińskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #130 from 00101306 from sent4

Text  : Podczas II wojny światowej pracował jako uczeń ślusarski na kolei ,_ a_ w_ 1945 rozpoczął naukę w_ Liceum Mechanicznym ._
Tokens: 1______ 2_ 3____ 4________ 5_______ 6___ 7____ 8________ 9_ 10___ 11 12 13 14__ 15_______ 16___ 17 18____ 19__________ 20

Chunks:
  TruePositive nam [2,4] = II wojny światowej (confidence=0.89)
  TruePositive nam [18,19] = Liceum Mechanicznym (confidence=1.00)

(ChunkerEvaluator) Sentence #131 from 00101306 from sent5

Text  : Studiował dwa lata w bydgoskiej Wieczorowej Szkole Inżynierskiej .
Tokens: 1________ 2__ 3___ 4 5_________ 6__________ 7_____ 8____________ 9

Chunks:
  TruePositive nam [6,8] = Wieczorowej Szkole Inżynierskiej (confidence=0.85)

(ChunkerEvaluator) Sentence #132 from 00101306 from sent6

Text  : W latach 1954 - 1955 był zatrudniony w Bydgoskiej Fabryce Maszyn jako konstruktor ,_ a_ następnie w_ Bydgoskim Biurze Projektów Budownictwa Przemysłowego ,_ Zakładach Rowerowych i_ w_ Klubie Międzynarodowej Prasy i_ Książki ._
Tokens: 1 2_____ 3___ 4 5___ 6__ 7__________ 8 9_________ 10_____ 11____ 12__ 13_________ 14 15 16_______ 17 18_______ 19____ 20_______ 21_________ 22___________ 23 24_______ 25________ 26 27 28____ 29_____________ 30___ 31 32_____ 33

Chunks:
  TruePositive nam [9,11] = Bydgoskiej Fabryce Maszyn (confidence=1.00)
  TruePositive nam [18,22] = Bydgoskim Biurze Projektów Budownictwa Przemysłowego (confidence=1.00)
  TruePositive nam [24,25] = Zakładach Rowerowych (confidence=0.96)
  FalsePositive nam [28,30] = Klubie Międzynarodowej Prasy (confidence=1.00) (incorrect boundry)
  FalsePositive nam [32,32] = Książki (confidence=0.80) (incorrect boundry)
  FalseNegative nam [28,32] = Klubie Międzynarodowej Prasy i Książki

(ChunkerEvaluator) Sentence #133 from 00101306 from sent7

Text  : Od grudnia 1955 do lipca 1990 pracował w redakcji literackiej bydgoskiej rozgłośni Polskiego Radia ._
Tokens: 1_ 2______ 3___ 4_ 5____ 6___ 7_______ 8 9_______ 10_________ 11________ 12_______ 13_______ 14___ 15

Chunks:
  TruePositive nam [13,14] = Polskiego Radia (confidence=1.00)

(ChunkerEvaluator) Sentence #134 from 00101306 from sent8

Text  : Debiutował wierszem Mleczarz w " Nowym Torze " w 1953 ._
Tokens: 1_________ 2_______ 3_______ 4 5 6____ 7____ 8 9 10__ 11

Chunks:
  TruePositive nam [3,3] = Mleczarz (confidence=1.00)
  TruePositive nam [6,7] = Nowym Torze (confidence=0.99)

(ChunkerEvaluator) Sentence #135 from 00101306 from sent9

Text  : Jego debiut radiowy przypadł w 1954 ( opowiadanie Dezynfektor )_ ,_ a_ książkowy w_ 1958 (_ zbiór opowiadań Czy księżyc się boi ?_ )_ ._
Tokens: 1___ 2_____ 3______ 4_______ 5 6___ 7 8__________ 9__________ 10 11 12 13_______ 14 15__ 16 17___ 18_______ 19_ 20_____ 21_ 22_ 23 24 25

Chunks:
  TruePositive nam [9,9] = Dezynfektor (confidence=0.97)
  FalseNegative nam [19,23] = Czy księżyc się boi ?

(ChunkerEvaluator) Sentence #136 from 00101306 from sent10

Text  : Jerzy Sulima - Kamiński był też autorem wielu słuchowisk radiowych ,_ felietonów ,_ recenzji literackich i_ audycji monograficznych ,_ które pojawiały się na lokalnej i_ ogólnopolskiej antenie radiowej ._
Tokens: 1____ 2_____ 3 4_______ 5__ 6__ 7______ 8____ 9_________ 10_______ 11 12________ 13 14______ 15_________ 16 17_____ 18_____________ 19 20___ 21_______ 22_ 23 24______ 25 26____________ 27_____ 28______ 29

Chunks:
  FalsePositive nam [1,2] = Jerzy Sulima (confidence=1.00) (incorrect boundry)
  FalsePositive nam [4,4] = Kamiński (confidence=0.58) (incorrect boundry)
  FalseNegative nam [1,4] = Jerzy Sulima - Kamiński

(ChunkerEvaluator) Sentence #137 from 00101306 from sent11

Text  : Wiele z nich zebrał w tomie Cymelium ( 1978 )_ ._
Tokens: 1____ 2 3___ 4_____ 5 6____ 7_______ 8 9___ 10 11

Chunks:
  TruePositive nam [7,7] = Cymelium (confidence=0.99)

(ChunkerEvaluator) Sentence #138 from 00101306 from sent12

Text  : Od 1959 należał do Związku Literatów Polskich .
Tokens: 1_ 2___ 3______ 4_ 5______ 6________ 7_______ 8

Chunks:
  TruePositive nam [5,7] = Związku Literatów Polskich (confidence=0.98)

(ChunkerEvaluator) Sentence #139 from 00101306 from sent13

Text  : Jest laureatem m . in . nagrody artystycznej miasta Bydgoszczy (_ 1959 )_ i_ literackiej "_ Faktów "_ (_ 1983 )_ oraz nagród Wojewódzkiej Rady Narodowej II i_ I_ stopnia w_ dziedzinie kultury ._
Tokens: 1___ 2________ 3 4 5_ 6 7______ 8___________ 9_____ 10________ 11 12__ 13 14 15_________ 16 17____ 18 19 20__ 21 22__ 23____ 24__________ 25__ 26_______ 27 28 29 30_____ 31 32________ 33_____ 34

Chunks:
  TruePositive nam [10,10] = Bydgoszczy (confidence=1.00)
  TruePositive nam [17,17] = Faktów (confidence=0.97)
  FalsePositive nam [24,27] = Wojewódzkiej Rady Narodowej II (confidence=1.00) (incorrect boundry)
  FalseNegative nam [24,26] = Wojewódzkiej Rady Narodowej

(ChunkerEvaluator) Sentence #140 from 00101306 from sent14

Text  : Otrzymał odznakę Zasłużony Działacz Kultury i nagrodę Komitetu ds ._ Radia i_ Telewizji za całokształt pracy literackiej dla radia ._
Tokens: 1_______ 2______ 3________ 4_______ 5______ 6 7______ 8_______ 9_ 10 11___ 12 13_______ 14 15_________ 16___ 17_________ 18_ 19___ 20

Chunks:
  TruePositive nam [3,5] = Zasłużony Działacz Kultury (confidence=0.98)
  FalsePositive nam [7,13] = nagrodę Komitetu ds . Radia i Telewizji (confidence=0.70) (incorrect boundry)
  FalseNegative nam [8,13] = Komitetu ds . Radia i Telewizji

(ChunkerEvaluator) Sentence #141 from 00101306 from sent15

Text  : Został odznaczony Złotym Krzyżem Zasługi i Krzyżem Kawalerskim Orderu Odrodzenia Polski ._
Tokens: 1_____ 2_________ 3_____ 4______ 5______ 6 7______ 8__________ 9_____ 10________ 11____ 12

Chunks:
  FalsePositive nam [3,5] = Złotym Krzyżem Zasługi (confidence=1.00) (incorrect boundry)
  FalsePositive nam [7,11] = Krzyżem Kawalerskim Orderu Odrodzenia Polski (confidence=0.91) (incorrect boundry)
  FalseNegative nam [4,5] = Krzyżem Zasługi
  FalseNegative nam [9,11] = Orderu Odrodzenia Polski

(ChunkerEvaluator) Sentence #142 from 00101306 from sent16

Text  : Napisał następujące powieści : Stan podgorączkowy ( 1972 ) ,_ Lot na uwięzi (_ 1974 )_ ,_ Trzynoga (_ 1979 )_ ,_ Raj bez Ewy (_ 1982 )_ ,_ Most Królowej Jadwigi (_ 1981 –_ 1988 )_ ,_ Bilet do Singapuru (_ 1991 )_ ,_ Koktajl Dalajlamy (_ 1997 )_ ._
Tokens: 1______ 2__________ 3_______ 4 5___ 6____________ 7 8___ 9 10 11_ 12 13____ 14 15__ 16 17 18______ 19 20__ 21 22 23_ 24_ 25_ 26 27__ 28 29 30__ 31______ 32_____ 33 34__ 35 36__ 37 38 39___ 40 41_______ 42 43__ 44 45 46_____ 47_______ 48 49__ 50 51

Chunks:
  TruePositive nam [5,6] = Stan podgorączkowy (confidence=0.72)
  TruePositive nam [18,18] = Trzynoga (confidence=0.98)
  TruePositive nam [30,32] = Most Królowej Jadwigi (confidence=1.00)
  TruePositive nam [46,47] = Koktajl Dalajlamy (confidence=0.97)
  FalsePositive nam [11,11] = Lot (confidence=1.00) (incorrect boundry)
  FalsePositive nam [23,23] = Raj (confidence=1.00) (incorrect boundry)
  FalsePositive nam [25,25] = Ewy (confidence=0.95) (incorrect boundry)
  FalsePositive nam [39,39] = Bilet (confidence=0.94) (incorrect boundry)
  FalsePositive nam [41,41] = Singapuru (confidence=0.99) (incorrect boundry)
  FalseNegative nam [11,13] = Lot na uwięzi
  FalseNegative nam [23,25] = Raj bez Ewy
  FalseNegative nam [39,41] = Bilet do Singapuru

(ChunkerEvaluator) Sentence #143 from 00101306 from sent17

Text  : Wydał też zbiór portretów bydgoskich ludzi kultury i sztuki -_ Trzydzieści jeden lusterek (_ 1993 )_ ._
Tokens: 1____ 2__ 3____ 4________ 5_________ 6____ 7______ 8 9_____ 10 11_________ 12___ 13______ 14 15__ 16 17

Chunks:
  FalseNegative nam [11,13] = Trzydzieści jeden lusterek

(ChunkerEvaluator) Sentence #144 from 00101306 from sent18

Text  : W 1989 ukazała się powieść dla młodzieży Dokąd biegną Twoje konie ?_
Tokens: 1 2___ 3______ 4__ 5______ 6__ 7________ 8____ 9_____ 10___ 11___ 12

Chunks:
  FalsePositive nam [10,11] = Twoje konie (confidence=0.62) (incorrect boundry)
  FalseNegative nam [8,12] = Dokąd biegną Twoje konie ?

(ChunkerEvaluator) Sentence #145 from 00101306 from sent19

Text  : Jego imieniem został nazwany jeden z mostów w centrum Bydgoszczy ._
Tokens: 1___ 2_______ 3_____ 4______ 5____ 6 7_____ 8 9______ 10________ 11

Chunks:
  TruePositive nam [10,10] = Bydgoszczy (confidence=1.00)

2017-06-14 20:02:40,316 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 9 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101317.xml
(ChunkerEvaluator) Sentence #146 from 00101317 from sent1

Text  : Miejska strona księżyca
Tokens: 1______ 2_____ 3_______

Chunks:
  FalseNegative nam [1,3] = Miejska strona księżyca

(ChunkerEvaluator) Sentence #147 from 00101317 from sent2

Text  : Miejska strona księżyca – album wydany przez Stare Dobre Małżeństwo w_ 1998 roku ._
Tokens: 1______ 2_____ 3_______ 4 5____ 6_____ 7____ 8____ 9____ 10________ 11 12__ 13__ 14

Chunks:
  TruePositive nam [8,10] = Stare Dobre Małżeństwo (confidence=1.00)
  FalseNegative nam [1,3] = Miejska strona księżyca

2017-06-14 20:02:40,324 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 10 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101350.xml
(ChunkerEvaluator) Sentence #148 from 00101350 from sent1

Text  : Ludwików ( gmina Teresin )
Tokens: 1_______ 2 3____ 4______ 5

Chunks:
  TruePositive nam [1,1] = Ludwików (confidence=0.98)
  TruePositive nam [4,4] = Teresin (confidence=1.00)

(ChunkerEvaluator) Sentence #149 from 00101350 from sent2

Text  : Ludwików – wieś w Polsce położona w województwie mazowieckim ,_ w_ powiecie sochaczewskim ,_ w_ gminie Teresin ._
Tokens: 1_______ 2 3___ 4 5_____ 6_______ 7 8___________ 9__________ 10 11 12______ 13___________ 14 15 16____ 17_____ 18

Chunks:
  TruePositive nam [1,1] = Ludwików (confidence=1.00)
  TruePositive nam [5,5] = Polsce (confidence=1.00)
  TruePositive nam [9,9] = mazowieckim (confidence=1.00)
  TruePositive nam [13,13] = sochaczewskim (confidence=1.00)
  TruePositive nam [17,17] = Teresin (confidence=1.00)

(ChunkerEvaluator) Sentence #150 from 00101350 from sent3

Text  : Historia
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #151 from 00101350 from sent4

Text  : Początki wsi Ludwików związane są z działalnością dziedzica Serok ._
Tokens: 1_______ 2__ 3_______ 4_______ 5_ 6 7____________ 8________ 9____ 10

Chunks:
  TruePositive nam [3,3] = Ludwików (confidence=0.99)
  TruePositive nam [9,9] = Serok (confidence=0.64)

(ChunkerEvaluator) Sentence #152 from 00101350 from sent5

Text  : Po pierwszej wojnie światowej dziedzic Tadeusz Sroczyński ( z wykształcenia architekt )_ zaprojektował nową siedzibę swojej rodziny ._
Tokens: 1_ 2________ 3_____ 4________ 5_______ 6______ 7_________ 8 9 10___________ 11_______ 12 13___________ 14__ 15______ 16____ 17_____ 18

Chunks:
  TruePositive nam [6,7] = Tadeusz Sroczyński (confidence=0.99)
  FalseNegative nam [2,4] = pierwszej wojnie światowej

(ChunkerEvaluator) Sentence #153 from 00101350 from sent6

Text  : W roku 1927 budowa została zakończona , pałac istnieje nadal i_ jest zlokalizowany we wsi Seroki -_ Parcela ._
Tokens: 1 2___ 3___ 4_____ 5______ 6_________ 7 8____ 9_______ 10___ 11 12__ 13___________ 14 15_ 16____ 17 18_____ 19

Chunks:
  TruePositive nam [16,18] = Seroki - Parcela (confidence=1.00)

(ChunkerEvaluator) Sentence #154 from 00101350 from sent7

Text  : Na terenach rozparcelowanych ( w związku z wydatkami na budowę )_ została utworzona nowa osada ._
Tokens: 1_ 2_______ 3_______________ 4 5 6______ 7 8________ 9_ 10____ 11 12_____ 13_______ 14__ 15___ 16

Chunks:

(ChunkerEvaluator) Sentence #155 from 00101350 from sent8

Text  : W okresie początkowym zwana Kolonia Podlesie .
Tokens: 1 2______ 3__________ 4____ 5______ 6_______ 7

Chunks:
  TruePositive nam [5,6] = Kolonia Podlesie (confidence=1.00)

(ChunkerEvaluator) Sentence #156 from 00101350 from sent9

Text  : Po drugiej wojnie światowej wprowadzona została już nazwa obecnie używana ._
Tokens: 1_ 2______ 3_____ 4________ 5__________ 6______ 7__ 8____ 9______ 10_____ 11

Chunks:
  FalseNegative nam [2,4] = drugiej wojnie światowej

(ChunkerEvaluator) Sentence #157 from 00101350 from sent10

Text  : W latach 1975 - 1998 miejscowość należała administracyjnie do województwa skierniewickiego ._
Tokens: 1 2_____ 3___ 4 5___ 6__________ 7_______ 8_______________ 9_ 10_________ 11______________ 12

Chunks:
  TruePositive nam [11,11] = skierniewickiego (confidence=0.99)

2017-06-14 20:02:40,361 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 11 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101392.xml
(ChunkerEvaluator) Sentence #158 from 00101392 from sent1

Text  : Potok ( funkcja powłoki )
Tokens: 1____ 2 3______ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #159 from 00101392 from sent2

Text  : Potok de facto pozwala na to , aby wyjście jednego programu było wejściem dla innego ._
Tokens: 1____ 2_ 3____ 4______ 5_ 6_ 7 8__ 9______ 10_____ 11______ 12__ 13______ 14_ 15____ 16

Chunks:

(ChunkerEvaluator) Sentence #160 from 00101392 from sent3

Text  : Jego operatorem jest pionowa kreska ( Shift + " "_ )_ ._
Tokens: 1___ 2_________ 3___ 4______ 5_____ 6 7____ 8 9 10 11 12

Chunks:
  FalsePositive nam [7,8] = Shift + (confidence=0.79) (incorrect boundry)

(ChunkerEvaluator) Sentence #161 from 00101392 from sent4

Text  : Definiuje się je za pomocą znaku | .
Tokens: 1________ 2__ 3_ 4_ 5_____ 6____ 7 8

Chunks:

(ChunkerEvaluator) Sentence #162 from 00101392 from sent5

Text  : Jest to intuicyjnie oczywiste .
Tokens: 1___ 2_ 3__________ 4________ 5

Chunks:

(ChunkerEvaluator) Sentence #163 from 00101392 from sent6

Text  : | przekierowanie wyniku jednego programu do innego ;
Tokens: 1 2_____________ 3_____ 4______ 5_______ 6_ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #164 from 00101392 from sent7

Text  : > przekierowanie wyniku jednego programu do pliku wyzerowanego ;
Tokens: 1 2_____________ 3_____ 4______ 5_______ 6_ 7____ 8___________ 9

Chunks:

(ChunkerEvaluator) Sentence #165 from 00101392 from sent8

Text  : > > przekierowanie wyniku jednego programu do pliku z dopisaniem ;_
Tokens: 1 2 3_____________ 4_____ 5______ 6_______ 7_ 8____ 9 10________ 11

Chunks:

(ChunkerEvaluator) Sentence #166 from 00101392 from sent9

Text  : oraz podanie do programu argumentu z pliku .
Tokens: 1___ 2______ 3_ 4_______ 5________ 6 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #167 from 00101392 from sent10

Text  : Operacja potoku odbiera wynik polecenia znajdującego się przed operatorem potoku i_ wysyła je jako dane wejściowe do polecenia umieszczonego za operatorem potoku ._
Tokens: 1_______ 2_____ 3______ 4____ 5________ 6___________ 7__ 8____ 9_________ 10____ 11 12____ 13 14__ 15__ 16_______ 17 18_______ 19___________ 20 21________ 22____ 23

Chunks:

(ChunkerEvaluator) Sentence #168 from 00101392 from sent11

Text  : Rodzaje potoków
Tokens: 1______ 2______

Chunks:

(ChunkerEvaluator) Sentence #169 from 00101392 from sent12

Text  : Pod pojęciem rodzaje potoków rozumiem ogół procesów dzielący się na :_
Tokens: 1__ 2_______ 3______ 4______ 5_______ 6___ 7_______ 8_______ 9__ 10 11

Chunks:

(ChunkerEvaluator) Sentence #170 from 00101392 from sent13

Text  : potoki nienazwane ,
Tokens: 1_____ 2_________ 3

Chunks:

(ChunkerEvaluator) Sentence #171 from 00101392 from sent14

Text  : potoki nazwane .
Tokens: 1_____ 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #172 from 00101392 from sent15

Text  : Różnica pomiędzy potokiem nienazwanym a nazwanym polega na tym ,_ że potok nazwany ma dowiązanie w_ systemie plików i_ może być identyfikowany przez nazwę ._
Tokens: 1______ 2_______ 3_______ 4__________ 5 6_______ 7_____ 8_ 9__ 10 11 12___ 13_____ 14 15________ 16 17______ 18____ 19 20__ 21_ 22____________ 23___ 24___ 25

Chunks:

(ChunkerEvaluator) Sentence #173 from 00101392 from sent16

Text  : Potok nienazwany nie posiada dowiązania i istnieje tak długo ,_ jak długo jest otwarty ._
Tokens: 1____ 2_________ 3__ 4______ 5_________ 6 7_______ 8__ 9____ 10 11_ 12___ 13__ 14_____ 15

Chunks:

(ChunkerEvaluator) Sentence #174 from 00101392 from sent17

Text  : Po zamknięciu wszystkich deskryptorów związanych z potokiem nienazwanym potok przestaje istnieć ._
Tokens: 1_ 2_________ 3_________ 4___________ 5_________ 6 7_______ 8__________ 9____ 10_______ 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #175 from 00101392 from sent18

Text  : Potoki nienazwane
Tokens: 1_____ 2_________

Chunks:

(ChunkerEvaluator) Sentence #176 from 00101392 from sent19

Text  : Potoki nienazwane nazywane także łączem komunikacyjnym .
Tokens: 1_____ 2_________ 3_______ 4____ 5_____ 6_____________ 7

Chunks:

(ChunkerEvaluator) Sentence #177 from 00101392 from sent20

Text  : Są używane w kontekście powiązanych ze sobą procesów .
Tokens: 1_ 2______ 3 4_________ 5__________ 6_ 7___ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #178 from 00101392 from sent21

Text  : Komunikacja ta polega na tym , że jeden proces zapisuje dane podobnie jak do pliku ,_ a_ drugi odczytuje tak jakby czytał z_ pliku ._
Tokens: 1__________ 2_ 3_____ 4_ 5__ 6 7_ 8____ 9_____ 10______ 11__ 12______ 13_ 14 15___ 16 17 18___ 19_______ 20_ 21___ 22____ 23 24___ 25

Chunks:

(ChunkerEvaluator) Sentence #179 from 00101392 from sent22

Text  : Różnica pomiędzy tradycyjnym odczytem i zapisem jest taka , że jeżeli łącze jest pełne to proces zapisujący zostaje na czas zwolnienia łącza uśpiony i_ analogicznie jeżeli łącze jest puste to proces czytający zostaje uśpiony ._
Tokens: 1______ 2_______ 3__________ 4_______ 5 6______ 7___ 8___ 9 10 11____ 12___ 13__ 14___ 15 16____ 17________ 18_____ 19 20__ 21________ 22___ 23_____ 24 25__________ 26____ 27___ 28__ 29___ 30 31____ 32_______ 33_____ 34_____ 35

Chunks:

(ChunkerEvaluator) Sentence #180 from 00101392 from sent23

Text  : Informacja zapisana do potoku jest odczytywana w kolejności zapisu ,_ po odczytaniu informacje są kasowane i_ nie jest możliwe ponowne ich odczytanie ._
Tokens: 1_________ 2_______ 3_ 4_____ 5___ 6__________ 7 8_________ 9_____ 10 11 12________ 13________ 14 15______ 16 17_ 18__ 19_____ 20_____ 21_ 22________ 23

Chunks:

(ChunkerEvaluator) Sentence #181 from 00101392 from sent24

Text  : Potok możemy utworzyć na różnym poziomie i przy wykorzystaniu różnych mechanizmów ._
Tokens: 1____ 2_____ 3_______ 4_ 5_____ 6_______ 7 8___ 9____________ 10_____ 11_________ 12

Chunks:

(ChunkerEvaluator) Sentence #182 from 00101392 from sent25

Text  : Potok może być utworzony bezpośrednio z wiersza poleceń .
Tokens: 1____ 2___ 3__ 4________ 5___________ 6 7______ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #183 from 00101392 from sent26

Text  : Potok najłatwiej jest utworzyć z poziomu programu .
Tokens: 1____ 2_________ 3___ 4_______ 5 6______ 7_______ 8

Chunks:

(ChunkerEvaluator) Sentence #184 from 00101392 from sent27

Text  : Należy użyć następujących funkcji pipe , popen bądź pclose ._
Tokens: 1_____ 2___ 3____________ 4______ 5___ 6 7____ 8___ 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #185 from 00101392 from sent28

Text  : Potoki nazwane
Tokens: 1_____ 2______

Chunks:

(ChunkerEvaluator) Sentence #186 from 00101392 from sent29

Text  : Potoki nazwane nazywamy także kolejkami FIFO .
Tokens: 1_____ 2______ 3_______ 4____ 5________ 6___ 7

Chunks:
  TruePositive nam [6,6] = FIFO (confidence=0.87)

(ChunkerEvaluator) Sentence #187 from 00101392 from sent30

Text  : Są plikami specjalnego rodzaju , które istnieją pod podaną nazwą w_ systemie plików ._
Tokens: 1_ 2______ 3__________ 4______ 5 6____ 7_______ 8__ 9_____ 10___ 11 12______ 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #188 from 00101392 from sent31

Text  : Kolejki FIFO zachowują się podobnie jak potoki nienazwane utworzone za pomocą funkcji pipe ._
Tokens: 1______ 2___ 3________ 4__ 5_______ 6__ 7_____ 8_________ 9________ 10 11____ 12_____ 13__ 14

Chunks:
  TruePositive nam [2,2] = FIFO (confidence=0.72)

(ChunkerEvaluator) Sentence #189 from 00101392 from sent32

Text  : Jeden z procesów otwiera plik FIFO do zapisu , zaś drugi do odczytu ,_ po czym dane mogą przepływać przez kolejkę jak przez zwykły potok nienazwany ._
Tokens: 1____ 2 3_______ 4______ 5___ 6___ 7_ 8_____ 9 10_ 11___ 12 13_____ 14 15 16__ 17__ 18__ 19________ 20___ 21_____ 22_ 23___ 24____ 25___ 26________ 27

Chunks:
  TruePositive nam [6,6] = FIFO (confidence=0.98)

(ChunkerEvaluator) Sentence #190 from 00101392 from sent33

Text  : Przykłady użycia
Tokens: 1________ 2_____

Chunks:

(ChunkerEvaluator) Sentence #191 from 00101392 from sent34

Text  : Przykład 1
Tokens: 1_______ 2

Chunks:

(ChunkerEvaluator) Sentence #192 from 00101392 from sent35

Text  : Przejdźmy do katalogu / usr / bin ,
Tokens: 1________ 2_ 3_______ 4 5__ 6 7__ 8

Chunks:

(ChunkerEvaluator) Sentence #193 from 00101392 from sent36

Text  : cd / usr / bin
Tokens: 1_ 2 3__ 4 5__

Chunks:

(ChunkerEvaluator) Sentence #194 from 00101392 from sent37

Text  : ponieważ znajduje się tam bardzo duża liczba plików .
Tokens: 1_______ 2_______ 3__ 4__ 5_____ 6___ 7_____ 8_____ 9

Chunks:

2017-06-14 20:02:40,483 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 12 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101395.xml
(ChunkerEvaluator) Sentence #195 from 00101395 from sent1

Text  : Muezza
Tokens: 1_____

Chunks:
  TruePositive nam [1,1] = Muezza (confidence=0.77)

(ChunkerEvaluator) Sentence #196 from 00101395 from sent2

Text  : Muezza ( arab . معزه ) był ulubionym kotem proroka Mahometa ._
Tokens: 1_____ 2 3___ 4 5___ 6 7__ 8________ 9____ 10_____ 11______ 12

Chunks:
  TruePositive nam [5,5] = معزه (confidence=0.76)
  TruePositive nam [11,11] = Mahometa (confidence=0.99)
  FalseNegative nam [1,1] = Muezza

(ChunkerEvaluator) Sentence #197 from 00101395 from sent3

Text  : Według opowieści Beduinów był kotem arabskim .
Tokens: 1_____ 2________ 3_______ 4__ 5____ 6_______ 7

Chunks:
  TruePositive nam [3,3] = Beduinów (confidence=1.00)

(ChunkerEvaluator) Sentence #198 from 00101395 from sent4

Text  : Najbardziej znana opowieść o Muezzie wspomina , jak Mahomet wstając na modlitwę zauważył ,_ że zwierzak zasnął w_ rękawie jego szaty ._
Tokens: 1__________ 2____ 3_______ 4 5______ 6_______ 7 8__ 9______ 10_____ 11 12______ 13______ 14 15 16______ 17____ 18 19_____ 20__ 21___ 22

Chunks:
  TruePositive nam [5,5] = Muezzie (confidence=0.95)
  TruePositive nam [9,9] = Mahomet (confidence=1.00)

(ChunkerEvaluator) Sentence #199 from 00101395 from sent5

Text  : By nie budzić kota , Prorok uciął ów rękaw i_ odprawił modły z_ jednym ramieniem odsłoniętym ._
Tokens: 1_ 2__ 3_____ 4___ 5 6_____ 7____ 8_ 9____ 10 11______ 12___ 13 14____ 15_______ 16_________ 17

Chunks:
  TruePositive nam [6,6] = Prorok (confidence=0.97)

(ChunkerEvaluator) Sentence #200 from 00101395 from sent6

Text  : Kiedy Mahomet skończył modlitwę , kot wstał i pokłonił się prorokowi ._
Tokens: 1____ 2______ 3_______ 4_______ 5 6__ 7____ 8 9_______ 10_ 11_______ 12

Chunks:
  TruePositive nam [2,2] = Mahomet (confidence=1.00)

(ChunkerEvaluator) Sentence #201 from 00101395 from sent7

Text  : Inna opowieść głosi , że Mahomet wygłaszał kazania trzymając kota na kolanach ._
Tokens: 1___ 2_______ 3____ 4 5_ 6______ 7________ 8______ 9________ 10__ 11 12______ 13

Chunks:
  TruePositive nam [6,6] = Mahomet (confidence=0.99)

(ChunkerEvaluator) Sentence #202 from 00101395 from sent8

Text  : Czasami Prorok odprawiał również ablucję wodą z miski , z_ której pił Muezza ._
Tokens: 1______ 2_____ 3________ 4______ 5______ 6___ 7 8____ 9 10 11____ 12_ 13____ 14

Chunks:
  TruePositive nam [2,2] = Prorok (confidence=0.96)
  TruePositive nam [13,13] = Muezza (confidence=0.97)

(ChunkerEvaluator) Sentence #203 from 00101395 from sent9

Text  : Znana jest też legenda , według której Mahomet pogryziony przez wściekłe psy prawie dogorywał ukryty w_ jaskini ._
Tokens: 1____ 2___ 3__ 4______ 5 6_____ 7_____ 8______ 9_________ 10___ 11______ 12_ 13____ 14_______ 15____ 16 17_____ 18

Chunks:
  TruePositive nam [8,8] = Mahomet (confidence=0.95)

(ChunkerEvaluator) Sentence #204 from 00101395 from sent10

Text  : Muezza odnalazł go i wylizał wszystkie rany , był z_ nim ,_ aż się zagoiły ._
Tokens: 1_____ 2_______ 3_ 4 5______ 6________ 7___ 8 9__ 10 11_ 12 13 14_ 15_____ 16

Chunks:
  FalseNegative nam [1,1] = Muezza

(ChunkerEvaluator) Sentence #205 from 00101395 from sent11

Text  : Od tamtego czasu przebywał zawsze z prorokiem .
Tokens: 1_ 2______ 3____ 4________ 5_____ 6 7________ 8

Chunks:

2017-06-14 20:02:40,531 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 13 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101398.xml
(ChunkerEvaluator) Sentence #206 from 00101398 from sent1

Text  : Laski ( powiat jarociński )
Tokens: 1____ 2 3_____ 4_________ 5

Chunks:
  TruePositive nam [1,1] = Laski (confidence=0.99)
  TruePositive nam [4,4] = jarociński (confidence=0.98)

(ChunkerEvaluator) Sentence #207 from 00101398 from sent2

Text  : Laski – osada w Polsce położona w województwie wielkopolskim ,_ w_ powiecie jarocińskim ,_ w_ gminie Żerków ._
Tokens: 1____ 2 3____ 4 5_____ 6_______ 7 8___________ 9____________ 10 11 12______ 13_________ 14 15 16____ 17____ 18

Chunks:
  TruePositive nam [1,1] = Laski (confidence=0.99)
  TruePositive nam [5,5] = Polsce (confidence=1.00)
  TruePositive nam [9,9] = wielkopolskim (confidence=1.00)
  TruePositive nam [13,13] = jarocińskim (confidence=1.00)
  TruePositive nam [17,17] = Żerków (confidence=1.00)

(ChunkerEvaluator) Sentence #208 from 00101398 from sent3

Text  : Miejscowość wchodzi w skład sołectwa Chrzan .
Tokens: 1__________ 2______ 3 4____ 5_______ 6_____ 7

Chunks:
  TruePositive nam [6,6] = Chrzan (confidence=1.00)

(ChunkerEvaluator) Sentence #209 from 00101398 from sent4

Text  : W latach 1975 - 1998 miejscowość należała administracyjnie do województwa kaliskiego ._
Tokens: 1 2_____ 3___ 4 5___ 6__________ 7_______ 8_______________ 9_ 10_________ 11________ 12

Chunks:
  TruePositive nam [11,11] = kaliskiego (confidence=0.98)

2017-06-14 20:02:40,547 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 14 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101399.xml
(ChunkerEvaluator) Sentence #210 from 00101399 from sent1

Text  : British Racing Motors
Tokens: 1______ 2_____ 3_____

Chunks:
  TruePositive nam [1,3] = British Racing Motors (confidence=1.00)

(ChunkerEvaluator) Sentence #211 from 00101399 from sent2

Text  : British Racing Motors ( BRM ) – konsorcjum założone przez Raymonda Maysa ._
Tokens: 1______ 2_____ 3_____ 4 5__ 6 7 8_________ 9_______ 10___ 11______ 12___ 13

Chunks:
  TruePositive nam [1,3] = British Racing Motors (confidence=0.98)
  TruePositive nam [5,5] = BRM (confidence=0.86)
  TruePositive nam [11,12] = Raymonda Maysa (confidence=1.00)

(ChunkerEvaluator) Sentence #212 from 00101399 from sent3

Text  : Pierwszy jego samochód startujący w Formule 1 w sezonach 1950 -_ 1977 ._
Tokens: 1_______ 2___ 3_______ 4_________ 5 6______ 7 8 9_______ 10__ 11 12__ 13

Chunks:
  TruePositive nam [6,7] = Formule 1 (confidence=1.00)

(ChunkerEvaluator) Sentence #213 from 00101399 from sent4

Text  : Pierwszym samochodem który wygrał Grand Prix Holandii w 1959 roku ._
Tokens: 1________ 2_________ 3____ 4_____ 5____ 6___ 7_______ 8 9___ 10__ 11

Chunks:
  TruePositive nam [5,7] = Grand Prix Holandii (confidence=1.00)

(ChunkerEvaluator) Sentence #214 from 00101399 from sent5

Text  : W latach 1961 - 1965 British Racing Motors odnosił największe sukcesy ._
Tokens: 1 2_____ 3___ 4 5___ 6______ 7_____ 8_____ 9______ 10________ 11_____ 12

Chunks:
  TruePositive nam [6,8] = British Racing Motors (confidence=0.94)

(ChunkerEvaluator) Sentence #215 from 00101399 from sent6

Text  : W 1962 roku kierowca zespołu Graham Hill zdobył mistrzostwo świata a_ w_ 1965 roku samochody BRM toczyły bratobójczy pojedynek o_ indywidualne mistrzostwo świata ._
Tokens: 1 2___ 3___ 4_______ 5______ 6_____ 7___ 8_____ 9__________ 10____ 11 12 13__ 14__ 15_______ 16_ 17_____ 18_________ 19_______ 20 21__________ 22_________ 23____ 24

Chunks:
  TruePositive nam [6,7] = Graham Hill (confidence=1.00)
  TruePositive nam [16,16] = BRM (confidence=0.93)

(ChunkerEvaluator) Sentence #216 from 00101399 from sent7

Text  : W latach 70 . zespół popadł w kłopoty finansowe i_ Louis Stanley wycofał zespół w_ 1977 roku ._
Tokens: 1 2_____ 3_ 4 5_____ 6_____ 7 8______ 9________ 10 11___ 12_____ 13_____ 14____ 15 16__ 17__ 18

Chunks:
  TruePositive nam [11,12] = Louis Stanley (confidence=1.00)

2017-06-14 20:02:40,579 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 15 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101414.xml
(ChunkerEvaluator) Sentence #217 from 00101414 from sent1

Text  : Pompa śmigłowa
Tokens: 1____ 2_______

Chunks:

(ChunkerEvaluator) Sentence #218 from 00101414 from sent2

Text  : Pompa śmigłowa - pompa wirowa krętna o wirniku śmigłowym ._
Tokens: 1____ 2_______ 3 4____ 5_____ 6_____ 7 8______ 9________ 10

Chunks:

(ChunkerEvaluator) Sentence #219 from 00101414 from sent3

Text  : Śmigłowy wirnik ( niekiedy z łopatkami o regulowanym nachyleniu )_ umieszczony jest w_ osiowym korpusie ._
Tokens: 1_______ 2_____ 3 4_______ 5 6________ 7 8__________ 9_________ 10 11_________ 12__ 13 14_____ 15______ 16

Chunks:

(ChunkerEvaluator) Sentence #220 from 00101414 from sent4

Text  : Dopływ , odpływ oraz przepływ cieczy przez wirnik jest osiowy ._
Tokens: 1_____ 2 3_____ 4___ 5_______ 6_____ 7____ 8_____ 9___ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #221 from 00101414 from sent5

Text  : Cieczy opuszczająca wirnik trafia do kierownicy łopatkowej gdzie jej moment pędu zamieniany jest w_ energię ciśnienia ._
Tokens: 1_____ 2___________ 3_____ 4_____ 5_ 6_________ 7_________ 8____ 9__ 10____ 11__ 12________ 13__ 14 15_____ 16_______ 17

Chunks:

(ChunkerEvaluator) Sentence #222 from 00101414 from sent6

Text  : Pompy śmigłowe pracują niemal wyłącznie w położeniu pionowym .
Tokens: 1____ 2_______ 3______ 4_____ 5________ 6 7________ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #223 from 00101414 from sent7

Text  : Pompy śmigłowe osiągają niewielką wysokości podnoszenia przeważnie poniżej 12m oraz bardzo wysokie wydajności dochodzące do 40 ,_ 000 m_ 3_ /_ h_ ._
Tokens: 1____ 2_______ 3_______ 4________ 5________ 6__________ 7_________ 8______ 9__ 10__ 11____ 12_____ 13________ 14________ 15 16 17 18_ 19 20 21 22 23

Chunks:

(ChunkerEvaluator) Sentence #224 from 00101414 from sent8

Text  : Pompy śmigłowe stosowane są w instalacjach przemysłowych I energetycznych ._
Tokens: 1____ 2_______ 3________ 4_ 5 6___________ 7____________ 8 9_____________ 10

Chunks:

(ChunkerEvaluator) Sentence #225 from 00101414 from sent9

Text  : Sprawność energetyczna pompy śmigłowej leży w zakresie od = 0_ ._ 80 do =_ 0_ ._ 90 ._
Tokens: 1________ 2___________ 3____ 4________ 5___ 6 7_______ 8_ 9 10 11 12 13 14 15 16 17 18

Chunks:

2017-06-14 20:02:40,614 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 16 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101434.xml
(ChunkerEvaluator) Sentence #226 from 00101434 from sent1

Text  : Run ( singel Leony Lewis )
Tokens: 1__ 2 3_____ 4____ 5____ 6

Chunks:
  TruePositive nam [1,1] = Run (confidence=0.82)
  TruePositive nam [4,5] = Leony Lewis (confidence=0.97)

(ChunkerEvaluator) Sentence #227 from 00101434 from sent2

Text  : " Run " jest to cover piosenki , zespołu Snow Patrol ,_ utwór ten po raz pierwszy Leona Lewis wykonała 31 października 2008 roku w_ "_ BBC Radio 1's Live Lounge "_ ._
Tokens: 1 2__ 3 4___ 5_ 6____ 7_______ 8 9______ 10__ 11____ 12 13___ 14_ 15 16_ 17______ 18___ 19___ 20______ 21 22__________ 23__ 24__ 25 26 27_ 28___ 29_ 30__ 31____ 32 33

Chunks:
  TruePositive nam [2,2] = Run (confidence=0.56)
  TruePositive nam [10,11] = Snow Patrol (confidence=1.00)
  TruePositive nam [18,19] = Leona Lewis (confidence=1.00)
  TruePositive nam [27,31] = BBC Radio 1's Live Lounge (confidence=1.00)

(ChunkerEvaluator) Sentence #228 from 00101434 from sent3

Text  : Później wydała go jako 5 singiel z albumu Spirit ,_ a_ dokładnie z_ jego reedycji czyli Spirit :_ The Deluxe Edition ._
Tokens: 1______ 2_____ 3_ 4___ 5 6______ 7 8_____ 9_____ 10 11 12_______ 13 14__ 15______ 16___ 17____ 18 19_ 20____ 21_____ 22

Chunks:
  TruePositive nam [9,9] = Spirit (confidence=0.92)
  FalsePositive nam [17,17] = Spirit (confidence=1.00) (incorrect boundry)
  FalsePositive nam [19,21] = The Deluxe Edition (confidence=0.83) (incorrect boundry)
  FalseNegative nam [17,21] = Spirit : The Deluxe Edition

(ChunkerEvaluator) Sentence #229 from 00101434 from sent4

Text  : Singiel Run został wydany najpierw 14 listopada 2008 w Irlandii i_ zadebitował na 1_ pozycji ,_ którą utrzymał przez 4_ tygodnie ._
Tokens: 1______ 2__ 3_____ 4_____ 5_______ 6_ 7________ 8___ 9 10______ 11 12_________ 13 14 15_____ 16 17___ 18______ 19___ 20 21______ 22

Chunks:
  TruePositive nam [10,10] = Irlandii (confidence=1.00)
  FalsePositive nam [1,2] = Singiel Run (confidence=0.63) (incorrect boundry)
  FalseNegative nam [2,2] = Run

(ChunkerEvaluator) Sentence #230 from 00101434 from sent5

Text  : Następnie 30 listopada w formacie digital download został wydany w_ Wielkiej Brytanii i_ także zadebiutował na 1_ miejscu utrzymując tę pozycję przez 2_ tygodnie oraz został najlepiej sprzedającym się singlem w_ formacie digital download ,_ gdyż w_ ciągu dwóch dni od wydania sprzedał się w_ ilości 69 ,_ 244 ._
Tokens: 1________ 2_ 3________ 4 5_______ 6______ 7_______ 8_____ 9_____ 10 11______ 12______ 13 14___ 15__________ 16 17 18_____ 19________ 20 21_____ 22___ 23 24______ 25__ 26____ 27_______ 28__________ 29_ 30_____ 31 32______ 33_____ 34______ 35 36__ 37 38___ 39___ 40_ 41 42_____ 43______ 44_ 45 46____ 47 48 49_ 50

Chunks:
  TruePositive nam [11,12] = Wielkiej Brytanii (confidence=1.00)

(ChunkerEvaluator) Sentence #231 from 00101434 from sent6

Text  : W rankingu podumowującym 2008 rok w Wielkiej Brytanii uzyskał 13 pozycję ._
Tokens: 1 2_______ 3____________ 4___ 5__ 6 7_______ 8_______ 9______ 10 11_____ 12

Chunks:
  TruePositive nam [7,8] = Wielkiej Brytanii (confidence=1.00)

(ChunkerEvaluator) Sentence #232 from 00101434 from sent7

Text  : 16 grudnia 2008 w formacie digital download singiel został wydany w_ Stanach Zjednoczonych oraz w_ Kanadzie jednak w_ obu tych państwach singiel nie był promowany ._
Tokens: 1_ 2______ 3___ 4 5_______ 6______ 7_______ 8______ 9_____ 10____ 11 12_____ 13___________ 14__ 15 16______ 17____ 18 19_ 20__ 21_______ 22_____ 23_ 24_ 25_______ 26

Chunks:
  TruePositive nam [12,13] = Stanach Zjednoczonych (confidence=1.00)
  TruePositive nam [16,16] = Kanadzie (confidence=1.00)

2017-06-14 20:02:40,669 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 17 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101457.xml
(ChunkerEvaluator) Sentence #233 from 00101457 from sent1

Text  : Gordon Willis
Tokens: 1_____ 2_____

Chunks:
  TruePositive nam [1,2] = Gordon Willis (confidence=1.00)

(ChunkerEvaluator) Sentence #234 from 00101457 from sent2

Text  : Gordon Willis ( ur . 28 maja 1931 w Nowym Jorku )_ -_ amerykański operator filmowy nagrodzony w_ 2010 Oscarem za całokształt twórczości ._
Tokens: 1_____ 2_____ 3 4_ 5 6_ 7___ 8___ 9 10___ 11___ 12 13 14_________ 15______ 16_____ 17________ 18 19__ 20_____ 21 22_________ 23________ 24

Chunks:
  TruePositive nam [1,2] = Gordon Willis (confidence=1.00)
  TruePositive nam [10,11] = Nowym Jorku (confidence=0.99)
  TruePositive nam [20,20] = Oscarem (confidence=0.68)

(ChunkerEvaluator) Sentence #235 from 00101457 from sent3

Text  : Wcześniej był 2 razy nominowany do nagrody Oscara za zdjęcia do filmów :_ Zelig (_ 1983 ;_ reż ._ Woody Allen )_ i_ Ojciec chrzestny III (_ 1990 ;_ reż ._ Francis Ford Coppola )_ ._
Tokens: 1________ 2__ 3 4___ 5_________ 6_ 7______ 8_____ 9_ 10_____ 11 12____ 13 14___ 15 16__ 17 18_ 19 20___ 21___ 22 23 24____ 25_______ 26_ 27 28__ 29 30_ 31 32_____ 33__ 34_____ 35 36

Chunks:
  TruePositive nam [8,8] = Oscara (confidence=0.91)
  TruePositive nam [14,14] = Zelig (confidence=0.99)
  TruePositive nam [20,21] = Woody Allen (confidence=0.98)
  TruePositive nam [32,34] = Francis Ford Coppola (confidence=1.00)
  FalseNegative nam [24,26] = Ojciec chrzestny III

(ChunkerEvaluator) Sentence #236 from 00101457 from sent4

Text  : Najczęściej współpracował z takimi reżyserami jak : Woody Allen ,_ Alan J_ ._ Pakula i_ Francis Ford Coppola ._
Tokens: 1__________ 2____________ 3 4_____ 5_________ 6__ 7 8____ 9____ 10 11__ 12 13 14____ 15 16_____ 17__ 18_____ 19

Chunks:
  TruePositive nam [8,9] = Woody Allen (confidence=1.00)
  TruePositive nam [11,14] = Alan J . Pakula (confidence=1.00)
  TruePositive nam [16,18] = Francis Ford Coppola (confidence=0.99)

2017-06-14 20:02:40,696 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 18 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101467.xml
(ChunkerEvaluator) Sentence #237 from 00101467 from sent1

Text  : Turniej o Brązowy Kask 2010
Tokens: 1______ 2 3______ 4___ 5___

Chunks:
  FalsePositive nam [3,4] = Brązowy Kask (confidence=0.99) (incorrect boundry)
  FalseNegative nam [1,5] = Turniej o Brązowy Kask 2010

(ChunkerEvaluator) Sentence #238 from 00101467 from sent2

Text  : Turniej o Brązowy Kask 2010 w sporcie żużlowym - coroczny turniej żużlowy organizowany przez Polski Związek Motorowy ._
Tokens: 1______ 2 3______ 4___ 5___ 6 7______ 8_______ 9 10______ 11_____ 12_____ 13__________ 14___ 15____ 16_____ 17______ 18

Chunks:
  TruePositive nam [15,17] = Polski Związek Motorowy (confidence=1.00)
  FalsePositive nam [3,4] = Brązowy Kask (confidence=0.99) (incorrect boundry)
  FalseNegative nam [1,5] = Turniej o Brązowy Kask 2010

(ChunkerEvaluator) Sentence #239 from 00101467 from sent3

Text  : Trzydziesty czwarty finał odbywał się we Lesznie , gdzie wygrał zielonogórzanin Patryk Dudek ._
Tokens: 1__________ 2______ 3____ 4______ 5__ 6_ 7______ 8 9____ 10____ 11_____________ 12____ 13___ 14

Chunks:
  TruePositive nam [7,7] = Lesznie (confidence=0.99)
  TruePositive nam [12,13] = Patryk Dudek (confidence=1.00)
  FalseNegative nam [11,11] = zielonogórzanin

2017-06-14 20:02:40,708 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 19 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101480.xml
(ChunkerEvaluator) Sentence #240 from 00101480 from sent1

Text  : Tom Newman
Tokens: 1__ 2_____

Chunks:
  TruePositive nam [1,2] = Tom Newman (confidence=0.99)

(ChunkerEvaluator) Sentence #241 from 00101480 from sent2

Text  : Tom Newman ( ur . 1894 , zm . 1943 )_ -_ bilardzista i_ snookerzysta angielski ._
Tokens: 1__ 2_____ 3 4_ 5 6___ 7 8_ 9 10__ 11 12 13_________ 14 15__________ 16_______ 17

Chunks:
  TruePositive nam [1,2] = Tom Newman (confidence=1.00)

(ChunkerEvaluator) Sentence #242 from 00101480 from sent3

Text  : Dominował w zawodowym bilardzie lat 20 . , nieprzerwanie w_ latach 1921 -_ 1930 grał w_ finałach mistrzostw świata ,_ wygrywając edycje w_ 1921 ,_ 1922 ,_ 1924 ,_ 1925 ,_ 1926 i_ 1927 ._
Tokens: 1________ 2 3________ 4________ 5__ 6_ 7 8 9____________ 10 11____ 12__ 13 14__ 15__ 16 17______ 18________ 19____ 20 21________ 22____ 23 24__ 25 26__ 27 28__ 29 30__ 31 32__ 33 34__ 35

Chunks:

(ChunkerEvaluator) Sentence #243 from 00101480 from sent4

Text  : Czterokrotnie przegrywał decydujące pojedynki .
Tokens: 1____________ 2_________ 3_________ 4________ 5

Chunks:

(ChunkerEvaluator) Sentence #244 from 00101480 from sent5

Text  : W 1934 doszedł ponadto do finału zawodowych mistrzostw świata w_ snookerze ,_ uległ Joe Davisowi 23 :_ 25 ._
Tokens: 1 2___ 3______ 4______ 5_ 6_____ 7_________ 8_________ 9_____ 10 11_______ 12 13___ 14_ 15______ 16 17 18 19

Chunks:
  TruePositive nam [14,15] = Joe Davisowi (confidence=1.00)
  FalseNegative nam [8,11] = mistrzostw świata w snookerze

2017-06-14 20:02:40,733 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 20 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101496.xml
(ChunkerEvaluator) Sentence #245 from 00101496 from sent1

Text  : Kultura lendzielska
Tokens: 1______ 2__________

Chunks:

(ChunkerEvaluator) Sentence #246 from 00101496 from sent2

Text  : Kultura lendzielska to kultura neolityczna ( ok . 5000 –_ 4000 p_ ._ n_ ._ e_ ._ )_ ,_ z_ kręgu kultur naddunajskich której nazwa pochodzi od miejscowości Lengyel koło Kaposvaru na Węgrzech ._
Tokens: 1______ 2__________ 3_ 4______ 5__________ 6 7_ 8 9___ 10 11__ 12 13 14 15 16 17 18 19 20 21___ 22____ 23___________ 24____ 25___ 26______ 27 28__________ 29_____ 30__ 31_______ 32 33______ 34

Chunks:
  TruePositive nam [29,29] = Lengyel (confidence=1.00)
  TruePositive nam [31,31] = Kaposvaru (confidence=0.97)
  TruePositive nam [33,33] = Węgrzech (confidence=1.00)

(ChunkerEvaluator) Sentence #247 from 00101496 from sent3

Text  : Obszar występowania
Tokens: 1_____ 2___________

Chunks:

(ChunkerEvaluator) Sentence #248 from 00101496 from sent4

Text  : Ludność tej kultury zajmowała obszary południowych Moraw , zachodniej Słowacji ,_ zachodnich Węgier oraz przylegających części Austrii ,_ Słowenii i_ Chorwacji ._
Tokens: 1______ 2__ 3______ 4________ 5______ 6___________ 7____ 8 9_________ 10______ 11 12________ 13____ 14__ 15____________ 16____ 17_____ 18 19______ 20 21_______ 22

Chunks:
  TruePositive nam [7,7] = Moraw (confidence=0.90)
  TruePositive nam [10,10] = Słowacji (confidence=0.99)
  TruePositive nam [13,13] = Węgier (confidence=0.98)
  TruePositive nam [17,17] = Austrii (confidence=1.00)
  TruePositive nam [19,19] = Słowenii (confidence=1.00)
  TruePositive nam [21,21] = Chorwacji (confidence=0.99)

(ChunkerEvaluator) Sentence #249 from 00101496 from sent5

Text  : Twórcy tej kultury osiedlili się także na Śląsku , Małopolsce ,_ Wielkopolsce i_ na Kujawach ._
Tokens: 1_____ 2__ 3______ 4________ 5__ 6____ 7_ 8_____ 9 10________ 11 12__________ 13 14 15______ 16

Chunks:
  TruePositive nam [8,8] = Śląsku (confidence=1.00)
  TruePositive nam [10,10] = Małopolsce (confidence=1.00)
  TruePositive nam [12,12] = Wielkopolsce (confidence=0.99)
  TruePositive nam [15,15] = Kujawach (confidence=0.99)

(ChunkerEvaluator) Sentence #250 from 00101496 from sent6

Text  : Grupy lokalne na ziemiach polskich
Tokens: 1____ 2______ 3_ 4_______ 5_______

Chunks:

(ChunkerEvaluator) Sentence #251 from 00101496 from sent7

Text  : Na podstawie szczegółowej analizy ceramiki wydzielono następujące grupy :
Tokens: 1_ 2________ 3___________ 4______ 5_______ 6_________ 7__________ 8____ 9

Chunks:

(ChunkerEvaluator) Sentence #252 from 00101496 from sent8

Text  : grupa ociecka ( Górny Śląsk )
Tokens: 1____ 2______ 3 4____ 5____ 6

Chunks:
  TruePositive nam [4,5] = Górny Śląsk (confidence=0.90)

(ChunkerEvaluator) Sentence #253 from 00101496 from sent9

Text  : grupa modlnicka ( Małopolska )
Tokens: 1____ 2________ 3 4_________ 5

Chunks:
  TruePositive nam [4,4] = Małopolska (confidence=0.90)

(ChunkerEvaluator) Sentence #254 from 00101496 from sent10

Text  : grupa brzesko - kujawska ( Kujawy )
Tokens: 1____ 2______ 3 4_______ 5 6_____ 7

Chunks:
  TruePositive nam [6,6] = Kujawy (confidence=0.78)
  FalsePositive nam [1,4] = grupa brzesko - kujawska (confidence=0.81) (incorrect boundry)

(ChunkerEvaluator) Sentence #255 from 00101496 from sent11

Text  : Charakterystyczne wytwory kulturowe
Tokens: 1________________ 2______ 3________

Chunks:

(ChunkerEvaluator) Sentence #256 from 00101496 from sent12

Text  : Cechą charakterystyczną wyżej wymienionych grup jest występowanie naczyń na pustej nóżce ,_ amforek i_ mis ,_ zdobionych jedynie plastycznymi guzkami ._
Tokens: 1____ 2________________ 3____ 4___________ 5___ 6___ 7___________ 8_____ 9_ 10____ 11___ 12 13_____ 14 15_ 16 17________ 18_____ 19__________ 20_____ 21

Chunks:

(ChunkerEvaluator) Sentence #257 from 00101496 from sent13

Text  : Osadnictwo i gospodarka
Tokens: 1_________ 2 3_________

Chunks:

(ChunkerEvaluator) Sentence #258 from 00101496 from sent14

Text  : Zakładano bardzo rozległe osady , złożone zarówno z dużych domów naziemnych zbudowanych na planie prostokątnym ,_ jak również ziemianki o_ planie owalnym ._
Tokens: 1________ 2_____ 3_______ 4____ 5 6______ 7______ 8 9_____ 10___ 11________ 12_________ 13 14____ 15__________ 16 17_ 18_____ 19_______ 20 21____ 22_____ 23

Chunks:

(ChunkerEvaluator) Sentence #259 from 00101496 from sent15

Text  : Spotyka się osady otwarte , ale też otoczone rowami obronnymi ._
Tokens: 1______ 2__ 3____ 4______ 5 6__ 7__ 8_______ 9_____ 10_______ 11

Chunks:

(ChunkerEvaluator) Sentence #260 from 00101496 from sent16

Text  : Ludność zajmowała się zarówno rolnictwem jak i hodowlą bydła ._
Tokens: 1______ 2________ 3__ 4______ 5_________ 6__ 7 8______ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #261 from 00101496 from sent17

Text  : Terenami eksploatowanymi przez gospodarkę rolno - hodowlaną były już nie tylko dna dolin rzecznych ,_ ale także brzegi wysoczyzn ._
Tokens: 1_______ 2______________ 3____ 4_________ 5____ 6 7________ 8___ 9__ 10_ 11___ 12_ 13___ 14_______ 15 16_ 17___ 18____ 19_______ 20

Chunks:

(ChunkerEvaluator) Sentence #262 from 00101496 from sent18

Text  : Obrządek pogrzebowy
Tokens: 1_______ 2_________

Chunks:

(ChunkerEvaluator) Sentence #263 from 00101496 from sent19

Text  : Zmarłych chowano na cmentarzyskach w pobliżu osad , w pozycji skurczonej ,_ w_ grobach szkieletowych wyposażonych w_ ceramikę oraz narzędzia krzemienne ._
Tokens: 1_______ 2______ 3_ 4_____________ 5 6______ 7___ 8 9 10_____ 11________ 12 13 14_____ 15___________ 16__________ 17 18______ 19__ 20_______ 21________ 22

Chunks:

2017-06-14 20:02:40,801 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 21 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101498.xml
(ChunkerEvaluator) Sentence #264 from 00101498 from sent1

Text  : Barnet F . C .
Tokens: 1_____ 2 3 4 5

Chunks:
  FalsePositive nam [1,4] = Barnet F . C (confidence=1.00) (incorrect boundry)
  FalseNegative nam [1,5] = Barnet F . C .

(ChunkerEvaluator) Sentence #265 from 00101498 from sent2

Text  : Barnet Football Club - angielski klub piłkarski z Barnet -_ północnej dzielnicy Londynu ,_ grający obecnie w_ Football League Two ._
Tokens: 1_____ 2_______ 3___ 4 5________ 6___ 7________ 8 9_____ 10 11_______ 12_______ 13_____ 14 15_____ 16_____ 17 18______ 19____ 20_ 21

Chunks:
  TruePositive nam [1,3] = Barnet Football Club (confidence=1.00)
  TruePositive nam [9,9] = Barnet (confidence=0.96)
  TruePositive nam [13,13] = Londynu (confidence=0.93)
  TruePositive nam [18,20] = Football League Two (confidence=0.97)

(ChunkerEvaluator) Sentence #266 from 00101498 from sent3

Text  : Jest klubem filialnym Arsenalu Londyn .
Tokens: 1___ 2_____ 3________ 4_______ 5_____ 6

Chunks:
  TruePositive nam [4,5] = Arsenalu Londyn (confidence=1.00)

2017-06-14 20:02:40,812 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 22 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101514.xml
(ChunkerEvaluator) Sentence #267 from 00101514 from sent1

Text  : I teraz codziennie ściskała w ręce srebrny pieniądz .
Tokens: 1 2____ 3_________ 4_______ 5 6___ 7______ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #268 from 00101514 from sent2

Text  : Trzymała go w dłoni przez całą noc , śniąc na jawie i_ śniąc we śnie ,_ że rano list nadejdzie ._
Tokens: 1_______ 2_ 3 4____ 5____ 6___ 7__ 8 9____ 10 11___ 12 13___ 14 15__ 16 17 18__ 19__ 20_______ 21

Chunks:

(ChunkerEvaluator) Sentence #269 from 00101514 from sent3

Text  : A po ocknieniu wszystka zmieniała się w słuch , w_ czekanie na znany odgłos kroków ._
Tokens: 1 2_ 3________ 4_______ 5________ 6__ 7 8____ 9 10 11______ 12 13___ 14____ 15____ 16

Chunks:

(ChunkerEvaluator) Sentence #270 from 00101514 from sent4

Text  : I nieraz zawodne , mściwe zmamienie dawało jej słyszeć daleki ,_ znany łoskot ._
Tokens: 1 2_____ 3______ 4 5_____ 6________ 7_____ 8__ 9______ 10____ 11 12___ 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #271 from 00101514 from sent5

Text  : Bił odgłos w jej serce , podwajał szybkość jego uderzeń —_ zbliżał się ,_ zbliżał się ._ ._ ._
Tokens: 1__ 2_____ 3 4__ 5____ 6 7_______ 8_______ 9___ 10_____ 11 12_____ 13_ 14 15_____ 16_ 17 18 19

Chunks:

(ChunkerEvaluator) Sentence #272 from 00101514 from sent6

Text  : Z zamkniętymi oczami , nieruchoma , prosiła się tego głosu ,_ żeby się zlitował —_ i_ chłodła jak kamień ,_ gdy tonął w_ nieskończonej ciszy ._
Tokens: 1 2__________ 3_____ 4 5_________ 6 7______ 8__ 9___ 10___ 11 12__ 13_ 14______ 15 16 17_____ 18_ 19____ 20 21_ 22___ 23 24___________ 25___ 26

Chunks:

(ChunkerEvaluator) Sentence #273 from 00101514 from sent7

Text  : A straszliwa cisza otaczała ją znowu i przywalała ją znowu jak pole wielkiej gliniastej ziemi ._
Tokens: 1 2_________ 3____ 4_______ 5_ 6____ 7 8_________ 9_ 10___ 11_ 12__ 13______ 14________ 15___ 16

Chunks:

(ChunkerEvaluator) Sentence #274 from 00101514 from sent8

Text  : Schodziło na nią fizyczne bezczucie albo najcudaczniejsze zachcenia .
Tokens: 1________ 2_ 3__ 4_______ 5________ 6___ 7_______________ 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #275 from 00101514 from sent9

Text  : Były dnie , w których ciągu żyła złudzeniem najdoskonalszym ,_ że wcale nie stało się to ,_ co się stało ._
Tokens: 1___ 2___ 3 4 5______ 6____ 7___ 8_________ 9______________ 10 11 12___ 13_ 14___ 15_ 16 17 18 19_ 20___ 21

Chunks:

(ChunkerEvaluator) Sentence #276 from 00101514 from sent10

Text  : Do nieskończoności natężone pragnienie niosło w chwile młodości , kiedy jeszcze nie znała Łukasza i_ była wolną dziewczyną ._
Tokens: 1_ 2______________ 3_______ 4_________ 5_____ 6 7_____ 8_______ 9 10___ 11_____ 12_ 13___ 14_____ 15 16__ 17___ 18________ 19

Chunks:
  TruePositive nam [14,14] = Łukasza (confidence=1.00)

(ChunkerEvaluator) Sentence #277 from 00101514 from sent11

Text  : Leżąc na krzyżu , z rękoma zasuniętymi pod głowę ,_ z_ oczyma utopionymi w_ bielonych deskach powały ,_ śniła na jawie ,_ że w_ czerwcową noc po całodziennej pracy w_ zaduchu biura ,_ po strudzeniu mózgu ,_ kości ,_ mięśni i_ nerwów —_ idzie sama jedna w_ ciemny Łazienkowski park ._
Tokens: 1____ 2_ 3_____ 4 5 6_____ 7__________ 8__ 9____ 10 11 12____ 13________ 14 15_______ 16_____ 17____ 18 19___ 20 21___ 22 23 24 25_______ 26_ 27 28__________ 29___ 30 31_____ 32___ 33 34 35________ 36___ 37 38___ 39 40____ 41 42____ 43 44___ 45__ 46___ 47 48____ 49__________ 50__ 51

Chunks:
  FalsePositive nam [49,49] = Łazienkowski (confidence=0.77) (incorrect boundry)
  FalseNegative nam [49,50] = Łazienkowski park

(ChunkerEvaluator) Sentence #278 from 00101514 from sent12

Text  : Z dala pachną jaśminy i różowe akacje .
Tokens: 1 2___ 3_____ 4______ 5 6_____ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #279 from 00101514 from sent13

Text  : Nie ciągle ; nie stale , tylko kiedy niekiedy szeleszczą wielkie drzewa ._
Tokens: 1__ 2_____ 3 4__ 5____ 6 7____ 8____ 9_______ 10________ 11_____ 12____ 13

Chunks:

(ChunkerEvaluator) Sentence #280 from 00101514 from sent14

Text  : To stary , ukochany dąb na wzgórzu . . ._
Tokens: 1_ 2____ 3 4_______ 5__ 6_ 7______ 8 9 10

Chunks:

(ChunkerEvaluator) Sentence #281 from 00101514 from sent15

Text  : Ach , jak szeleszczą te wielkie drzewa , drzewa widma żyjące !_
Tokens: 1__ 2 3__ 4_________ 5_ 6______ 7_____ 8 9_____ 10___ 11____ 12

Chunks:

(ChunkerEvaluator) Sentence #282 from 00101514 from sent16

Text  : Jak dziko , jak uroczo !
Tokens: 1__ 2____ 3 4__ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #283 from 00101514 from sent17

Text  : Z dala , z dala , z otwartego gdzieś okna dolatuje nokturn Chopina ._
Tokens: 1 2___ 3 4 5___ 6 7 8________ 9_____ 10__ 11______ 12_____ 13_____ 14

Chunks:
  TruePositive nam [13,13] = Chopina (confidence=1.00)

(ChunkerEvaluator) Sentence #284 from 00101514 from sent18

Text  : Muzyka smutna a pełna siły najbardziej głębokiej . . ._
Tokens: 1_____ 2_____ 3 4____ 5___ 6__________ 7________ 8 9 10

Chunks:

(ChunkerEvaluator) Sentence #285 from 00101514 from sent19

Text  : Muzyka smutna , a nie zawierająca w sobie ani rezygnacji ,_ ani wyrzekania ._
Tokens: 1_____ 2_____ 3 4 5__ 6__________ 7 8____ 9__ 10________ 11 12_ 13________ 14

Chunks:

(ChunkerEvaluator) Sentence #286 from 00101514 from sent20

Text  : Smutek i spokój spływa z tej tajemniczej , z tej bosko pięknej muzyki w_ ciemnoszelestny park ,_ między widma drzew ._
Tokens: 1_____ 2 3_____ 4_____ 5 6__ 7__________ 8 9 10_ 11___ 12_____ 13____ 14 15_____________ 16__ 17 18____ 19___ 20___ 21

Chunks:

(ChunkerEvaluator) Sentence #287 from 00101514 from sent21

Text  : Nie ma w niej grozy i nie ma rozrzewnienia ,_ co kruszy wyniosły smutek i_ we łzy się wylewa ._
Tokens: 1__ 2_ 3 4___ 5____ 6 7__ 8_ 9____________ 10 11 12____ 13______ 14____ 15 16 17_ 18_ 19____ 20

Chunks:

(ChunkerEvaluator) Sentence #288 from 00101514 from sent22

Text  : Nokturn ów — druga noc , druga obok tamtej ._ ._ ._
Tokens: 1______ 2_ 3 4____ 5__ 6 7____ 8___ 9_____ 10 11 12

Chunks:

(ChunkerEvaluator) Sentence #289 from 00101514 from sent23

Text  : Jak noc — nokturn ów zawierał w sobie smutek ,_ który mógł by ogarnąć cały ród ludzki i_ wystarczyć dla wszystkich dusz ,_ co cierpią na tej ziemi ._
Tokens: 1__ 2__ 3 4______ 5_ 6_______ 7 8____ 9_____ 10 11___ 12__ 13 14_____ 15__ 16_ 17____ 18 19________ 20_ 21________ 22__ 23 24 25_____ 26 27_ 28___ 29

Chunks:

(ChunkerEvaluator) Sentence #290 from 00101514 from sent24

Text  : Jak wielka , cicha , tajemnicza noc , był siłą niewiadomą ,_ zamkniętą w_ sobie i_ wiecznie żywą ,_ co zachęca ,_ ażeby mężnie i_ wyniośle iść swoją drogą przed się ,_ iść daleko ,_ z_ oczyma utopionymi w_ gwiazdy ciemnego nieba ._
Tokens: 1__ 2_____ 3 4____ 5 6_________ 7__ 8 9__ 10__ 11________ 12 13_______ 14 15___ 16 17______ 18__ 19 20 21_____ 22 23___ 24____ 25 26______ 27_ 28___ 29___ 30___ 31_ 32 33_ 34____ 35 36 37____ 38________ 39 40_____ 41______ 42___ 43

Chunks:

(ChunkerEvaluator) Sentence #291 from 00101514 from sent25

Text  : Jak noc wołał i porywał ku nieskończoności .
Tokens: 1__ 2__ 3____ 4 5______ 6_ 7______________ 8

Chunks:

(ChunkerEvaluator) Sentence #292 from 00101514 from sent26

Text  : Szła też wówczas , pełna młodych sił , jak powietrze przesycone zapachem jaśminu ,_ owiana szelestem czarnych drzew ,_ jak ciemność pełna tonów nocnej muzyki Chopina ._
Tokens: 1___ 2__ 3______ 4 5____ 6______ 7__ 8 9__ 10_______ 11________ 12______ 13_____ 14 15____ 16_______ 17______ 18___ 19 20_ 21______ 22___ 23___ 24____ 25____ 26_____ 27

Chunks:
  TruePositive nam [26,26] = Chopina (confidence=1.00)

2017-06-14 20:02:40,947 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 23 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101560.xml
(ChunkerEvaluator) Sentence #293 from 00101560 from sent1

Text  : Zwróciła m uwagę , że gdy długi sen jemu służy ,_ mnie może wyczerpać ,_ szczególniej wobec ataków opinii ._
Tokens: 1_______ 2 3____ 4 5_ 6__ 7____ 8__ 9___ 10___ 11 12__ 13__ 14_______ 15 16__________ 17___ 18____ 19____ 20

Chunks:

(ChunkerEvaluator) Sentence #294 from 00101560 from sent2

Text  : — Jak to , więc dbasz o sądy ludzkie !_
Tokens: 1 2__ 3_ 4 5___ 6____ 7 8___ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #295 from 00101560 from sent3

Text  : — spytał z żalem .
Tokens: 1 2_____ 3 4____ 5

Chunks:

(ChunkerEvaluator) Sentence #296 from 00101560 from sent4

Text  : — Naturalnie !
Tokens: 1 2_________ 3

Chunks:

(ChunkerEvaluator) Sentence #297 from 00101560 from sent5

Text  : ( naiwny wyrzut , który zrobi każda męska pycha :_ jak to ,_ wobec mnie —_ twego bóstwa ,_ dbasz jeszcze o_ ten nędzny ,_ otaczający cię świat !_ )_
Tokens: 1 2_____ 3_____ 4 5____ 6____ 7____ 8____ 9____ 10 11_ 12 13 14___ 15__ 16 17___ 18____ 19 20___ 21_____ 22 23_ 24____ 25 26________ 27_ 28___ 29 30

Chunks:

(ChunkerEvaluator) Sentence #298 from 00101560 from sent6

Text  : — Cóż więc chcesz , aby m uczynił ?
Tokens: 1 2__ 3___ 4_____ 5 6__ 7 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #299 from 00101560 from sent7

Text  : — Bez ślubu żyć nie możemy . . .
Tokens: 1 2__ 3____ 4__ 5__ 6_____ 7 8 9

Chunks:

(ChunkerEvaluator) Sentence #300 from 00101560 from sent8

Text  : — Ślub . . . ależ to niepodobieństwo !
Tokens: 1 2___ 3 4 5 6___ 7_ 8______________ 9

Chunks:

(ChunkerEvaluator) Sentence #301 from 00101560 from sent9

Text  : nie jestem mormonem .
Tokens: 1__ 2_____ 3_______ 4

Chunks:

(ChunkerEvaluator) Sentence #302 from 00101560 from sent10

Text  : Wstyd mnie oblał , lecz postanowiła m anatomizować dalej :_
Tokens: 1____ 2___ 3____ 4 5___ 6__________ 7 8___________ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #303 from 00101560 from sent11

Text  : — Przyjmij protestantyzm , ślub poprzedni zostanie zerwany , staniesz się wolnym ._
Tokens: 1 2_______ 3____________ 4 5___ 6________ 7_______ 8______ 9 10______ 11_ 12____ 13

Chunks:

(ChunkerEvaluator) Sentence #304 from 00101560 from sent12

Text  : — I ty to mówisz z takim spokojem ?
Tokens: 1 2 3_ 4_ 5_____ 6 7____ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #305 from 00101560 from sent13

Text  : — Jeśli chcesz mnie posiąść , nie widzę innej drogi ._
Tokens: 1 2____ 3_____ 4___ 5______ 6 7__ 8____ 9____ 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #306 from 00101560 from sent14

Text  : Wreszcie , co znaczy jedna trudność wobec naszego przyszłego szczęścia ?_
Tokens: 1_______ 2 3_ 4_____ 5____ 6_______ 7____ 8______ 9_________ 10_______ 11

Chunks:

(ChunkerEvaluator) Sentence #307 from 00101560 from sent15

Text  : Milczał .
Tokens: 1______ 2

Chunks:

(ChunkerEvaluator) Sentence #308 from 00101560 from sent16

Text  : Po długiej pauzie rzekł :
Tokens: 1_ 2______ 3_____ 4____ 5

Chunks:

(ChunkerEvaluator) Sentence #309 from 00101560 from sent17

Text  : — To było by jednak nieuczciwie z mej strony !_
Tokens: 1 2_ 3___ 4_ 5_____ 6__________ 7 8__ 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #310 from 00101560 from sent18

Text  : w jakiem położeniu zostawił by m Halinę ?
Tokens: 1 2_____ 3________ 4_______ 5_ 6 7_____ 8

Chunks:
  TruePositive nam [7,7] = Halinę (confidence=0.71)

(ChunkerEvaluator) Sentence #311 from 00101560 from sent19

Text  : proszę cię , Amelio , postaw się na mojem miejscu ,_ jako prawego człowieka ._ ._ ._
Tokens: 1_____ 2__ 3 4_____ 5 6_____ 7__ 8_ 9____ 10_____ 11 12__ 13_____ 14_______ 15 16 17

Chunks:
  TruePositive nam [4,4] = Amelio (confidence=1.00)

(ChunkerEvaluator) Sentence #312 from 00101560 from sent20

Text  : Tryumfowała m .
Tokens: 1__________ 2 3

Chunks:

(ChunkerEvaluator) Sentence #313 from 00101560 from sent21

Text  : Słowa Konrada dla każdego uczciwego sumienia były prawdą oczywistą ._
Tokens: 1____ 2______ 3__ 4______ 5________ 6_______ 7___ 8_____ 9________ 10

Chunks:
  TruePositive nam [2,2] = Konrada (confidence=1.00)

(ChunkerEvaluator) Sentence #314 from 00101560 from sent22

Text  : Ale oczywistość ta , jak wiele innych , gdy chodzi o_ ścisłość myślenia oraz postępowania ,_ musi być wyrażona i_ za fundament przyjęta ._
Tokens: 1__ 2__________ 3_ 4 5__ 6____ 7_____ 8 9__ 10____ 11 12______ 13______ 14__ 15__________ 16 17__ 18_ 19______ 20 21 22_______ 23______ 24

Chunks:

(ChunkerEvaluator) Sentence #315 from 00101560 from sent23

Text  : Postanowiła m iść dalej i zerwać ostatnią zasłonę z nagiego posągu prawdy ._
Tokens: 1__________ 2 3__ 4____ 5 6_____ 7_______ 8______ 9 10_____ 11____ 12____ 13

Chunks:

(ChunkerEvaluator) Sentence #316 from 00101560 from sent24

Text  : — Więc gdzie twoja miłość — krzyknęła m — gdy dawnych związków nie chcesz poświęcić dla mnie !_
Tokens: 1 2___ 3____ 4____ 5_____ 6 7________ 8 9 10_ 11_____ 12______ 13_ 14____ 15_______ 16_ 17__ 18

Chunks:

(ChunkerEvaluator) Sentence #317 from 00101560 from sent25

Text  : Czemże ci jest żona , której nie kochasz wcale ?_
Tokens: 1_____ 2_ 3___ 4___ 5 6_____ 7__ 8______ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #318 from 00101560 from sent26

Text  : — Nie kocham , zapewne , ale widzisz , jestem przywiązany do niej ._
Tokens: 1 2__ 3_____ 4 5______ 6 7__ 8______ 9 10____ 11_________ 12 13__ 14

Chunks:

(ChunkerEvaluator) Sentence #319 from 00101560 from sent27

Text  : Każdego mężczyznę zdobywa i przykuwa myśl , że jest kochanym ,_ a_ ona ma dla mnie tyle uczucia ._ ._ ._
Tokens: 1______ 2________ 3______ 4 5_______ 6___ 7 8_ 9___ 10______ 11 12 13_ 14 15_ 16__ 17__ 18_____ 19 20 21

Chunks:

(ChunkerEvaluator) Sentence #320 from 00101560 from sent28

Text  : Wreszcie , ty może tego nie rozumiesz , jako kobieta ,_ ale honor mój był by zadraśnięty ._
Tokens: 1_______ 2 3_ 4___ 5___ 6__ 7________ 8 9___ 10_____ 11 12_ 13___ 14_ 15_ 16 17_________ 18

Chunks:

(ChunkerEvaluator) Sentence #321 from 00101560 from sent29

Text  : Ja nie mogę porzucić zupełnie żony , uciec od niej ,_ jak kantorowicz od swego pryncypała ._
Tokens: 1_ 2__ 3___ 4_______ 5_______ 6___ 7 8____ 9_ 10__ 11 12_ 13_________ 14 15___ 16________ 17

Chunks:

(ChunkerEvaluator) Sentence #322 from 00101560 from sent30

Text  : — A cóż my ze sobą zrobimy ?
Tokens: 1 2 3__ 4_ 5_ 6___ 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #323 from 00101560 from sent31

Text  : — Wyjedziemy tymczasem gdzieś daleko np . do Szwajcaryi ,_ a_ potem ._ ._ ._
Tokens: 1 2_________ 3________ 4_____ 5_____ 6_ 7 8_ 9_________ 10 11 12___ 13 14 15

Chunks:
  TruePositive nam [9,9] = Szwajcaryi (confidence=0.97)

(ChunkerEvaluator) Sentence #324 from 00101560 from sent32

Text  : któż myśli o potem !
Tokens: 1___ 2____ 3 4____ 5

Chunks:

(ChunkerEvaluator) Sentence #325 from 00101560 from sent33

Text  : Jedna chwila rozkoszy i upojenia ozłoci nam całe pasmo szarego życia ._
Tokens: 1____ 2_____ 3_______ 4 5_______ 6_____ 7__ 8___ 9____ 10_____ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #326 from 00101560 from sent34

Text  : — Nie , mój drogi — odrzekła m zimno —_ masz do wyboru ,_ spalić za sobą mosty ,_ albo ich nie przechodzić wcale ._
Tokens: 1 2__ 3 4__ 5____ 6 7_______ 8 9____ 10 11__ 12 13____ 14 15____ 16 17__ 18___ 19 20__ 21_ 22_ 23_________ 24___ 25

Chunks:

(ChunkerEvaluator) Sentence #327 from 00101560 from sent35

Text  : Wybieraj !
Tokens: 1_______ 2

Chunks:

(ChunkerEvaluator) Sentence #328 from 00101560 from sent36

Text  : Czuła m , że rozmowa wywiera na ń przykre wrażenie ._
Tokens: 1____ 2 3 4_ 5______ 6______ 7_ 8 9______ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #329 from 00101560 from sent37

Text  : Nic dziwnego , proponowała m układy , a mężczyzna znosi tylko zdanie się na łaskę i_ niełaskę ._
Tokens: 1__ 2_______ 3 4__________ 5 6_____ 7 8 9________ 10___ 11___ 12____ 13_ 14 15___ 16 17______ 18

Chunks:

2017-06-14 20:02:41,075 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 24 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101597.xml
(ChunkerEvaluator) Sentence #330 from 00101597 from sent1

Text  : Tu istotnie winien , czy nie winien : kulka w_ łeb ._
Tokens: 1_ 2_______ 3_____ 4 5__ 6__ 7_____ 8 9____ 10 11_ 12

Chunks:

(ChunkerEvaluator) Sentence #331 from 00101597 from sent2

Text  : Tow . Daszyński : Ten ma sytuacyjne myśli , ale myli się w_ określaniu swojej sytuacyi ._
Tokens: 1__ 2 3________ 4 5__ 6_ 7_________ 8____ 9 10_ 11__ 12_ 13 14________ 15____ 16______ 17

Chunks:
  TruePositive nam [3,3] = Daszyński (confidence=0.95)

(ChunkerEvaluator) Sentence #332 from 00101597 from sent3

Text  : Postępuje logicznie i jak ona mu każe , tylko ,_ że ona jest inna ,_ niż on sądzi ._
Tokens: 1________ 2________ 3 4__ 5__ 6_ 7___ 8 9____ 10 11 12_ 13__ 14__ 15 16_ 17 18___ 19

Chunks:

(ChunkerEvaluator) Sentence #333 from 00101597 from sent4

Text  : Aha !
Tokens: 1__ 2

Chunks:

(ChunkerEvaluator) Sentence #334 from 00101597 from sent5

Text  : tu jest węzeł .
Tokens: 1_ 2___ 3____ 4

Chunks:

(ChunkerEvaluator) Sentence #335 from 00101597 from sent6

Text  : Przedewszystkiem trzeba mieć ową sytuacyę .
Tokens: 1_______________ 2_____ 3___ 4__ 5_______ 6

Chunks:

(ChunkerEvaluator) Sentence #336 from 00101597 from sent7

Text  : I znowu nieprawdą jest , że jej nie mam ._
Tokens: 1 2____ 3________ 4___ 5 6_ 7__ 8__ 9__ 10

Chunks:

(ChunkerEvaluator) Sentence #337 from 00101597 from sent8

Text  : Mam , ale nie mogę sobie dać rady z nią ._
Tokens: 1__ 2 3__ 4__ 5___ 6____ 7__ 8___ 9 10_ 11

Chunks:

(ChunkerEvaluator) Sentence #338 from 00101597 from sent9

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #339 from 00101597 from sent10

Text  : Dlatego , że polega ona na duchowem spleceniu auto -_ hypnoz i_ krzyżujących się działań hypnotycznych między pisarzem i_ publicznością ._
Tokens: 1______ 2 3_ 4_____ 5__ 6_ 7_______ 8________ 9___ 10 11____ 12 13__________ 14_ 15_____ 16___________ 17____ 18______ 19 20___________ 21

Chunks:

(ChunkerEvaluator) Sentence #340 from 00101597 from sent11

Text  : To ważne .
Tokens: 1_ 2____ 3

Chunks:

(ChunkerEvaluator) Sentence #341 from 00101597 from sent12

Text  : Pisarz pisząc określa dla siebie swą publiczność , będzie ona dla niego już zbiorem ludzi ,_ którzy czytali ,_ przyjęli i_ uznali to ,_ co on napisał ._
Tokens: 1_____ 2_____ 3______ 4__ 5_____ 6__ 7__________ 8 9_____ 10_ 11_ 12___ 13_ 14_____ 15___ 16 17____ 18_____ 19 20______ 21 22____ 23 24 25 26 27_____ 28

Chunks:

(ChunkerEvaluator) Sentence #342 from 00101597 from sent13

Text  : To może być złudzenie objektywnie , subjektywnie ten fakt powstaje i_ działa ._
Tokens: 1_ 2___ 3__ 4________ 5__________ 6 7___________ 8__ 9___ 10______ 11 12____ 13

Chunks:

(ChunkerEvaluator) Sentence #343 from 00101597 from sent14

Text  : Dlatego własna przeszłość pisarska jest tak bardzo wnikliwem , wszędobylskiem przeznaczeniem ._
Tokens: 1______ 2_____ 3_________ 4_______ 5___ 6__ 7_____ 8________ 9 10____________ 11____________ 12

Chunks:

(ChunkerEvaluator) Sentence #344 from 00101597 from sent15

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #345 from 00101597 from sent16

Text  : Wiem i mogę i umiem mniej , niż wierzył em ,_ pisząc dotąd ._
Tokens: 1___ 2 3___ 4 5____ 6____ 7 8__ 9______ 10 11 12____ 13___ 14

Chunks:

(ChunkerEvaluator) Sentence #346 from 00101597 from sent17

Text  : Trzebaby szczerze rozczarować publiczność i siebie , co do tych 2_ -_ ch punktów i_ wychować siebie do publiczności ,_ któraby znała moje prawdziwe myśli ,_ prawdziwą wiedzę ,_ wtedy mógł by m_ sytuacyjnie pisać ._
Tokens: 1_______ 2_______ 3__________ 4__________ 5 6_____ 7 8_ 9_ 10__ 11 12 13 14_____ 15 16______ 17____ 18 19__________ 20 21_____ 22___ 23__ 24_______ 25___ 26 27_______ 28____ 29 30___ 31__ 32 33 34_________ 35___ 36

Chunks:

(ChunkerEvaluator) Sentence #347 from 00101597 from sent18

Text  : Ale sytuacyjnie myśleć !
Tokens: 1__ 2__________ 3_____ 4

Chunks:

(ChunkerEvaluator) Sentence #348 from 00101597 from sent19

Text  : Boże , Boże !
Tokens: 1___ 2 3___ 4

Chunks:
  TruePositive nam [1,1] = Boże (confidence=0.88)
  TruePositive nam [3,3] = Boże (confidence=1.00)

(ChunkerEvaluator) Sentence #349 from 00101597 from sent20

Text  : Trudna to naprawdę rzecz być dzisiaj Polakiem , chcieć myśleć ,_ chcieć pracować ._
Tokens: 1_____ 2_ 3_______ 4____ 5__ 6______ 7_______ 8 9_____ 10____ 11 12____ 13______ 14

Chunks:
  TruePositive nam [7,7] = Polakiem (confidence=0.98)

(ChunkerEvaluator) Sentence #350 from 00101597 from sent21

Text  : Gostomski i lud wiejski .
Tokens: 1________ 2 3__ 4______ 5

Chunks:
  TruePositive nam [1,1] = Gostomski (confidence=0.96)

(ChunkerEvaluator) Sentence #351 from 00101597 from sent22

Text  : Powiem teraz ( esprit d ’ escalier ) na czem polega różnica pomiędzy ludem wiejskim a_ klasą robotniczą ._
Tokens: 1_____ 2____ 3 4_____ 5 6 7_______ 8 9_ 10__ 11____ 12_____ 13______ 14___ 15______ 16 17___ 18________ 19

Chunks:

(ChunkerEvaluator) Sentence #352 from 00101597 from sent23

Text  : Że ten pierwszy zaspokaja się obierzynami naszej myśli , że przestajemy myśleć odpowiedzialnie ,_ gdy myślimy dla niego t_ ._ j_ ._ nie myślimy ,_ nie piszemy dla siebie ._
Tokens: 1_ 2__ 3_______ 4________ 5__ 6__________ 7_____ 8____ 9 10 11_________ 12____ 13_____________ 14 15_ 16_____ 17_ 18___ 19 20 21 22 23_ 24_____ 25 26_ 27_____ 28_ 29____ 30

Chunks:

(ChunkerEvaluator) Sentence #353 from 00101597 from sent24

Text  : I dlatego Gostomscy lubią lud wiejski .
Tokens: 1 2______ 3________ 4____ 5__ 6______ 7

Chunks:
  TruePositive nam [3,3] = Gostomscy (confidence=0.99)

(ChunkerEvaluator) Sentence #354 from 00101597 from sent25

Text  : Oddawna czuł em , że tu , właśnie tu ,_ w_ tym »_ wiejskim ludzie «_ jest mój specyficzny wróg ._
Tokens: 1______ 2___ 3_ 4 5_ 6_ 7 8______ 9_ 10 11 12_ 13 14______ 15____ 16 17__ 18_ 19_________ 20__ 21

Chunks:

(ChunkerEvaluator) Sentence #355 from 00101597 from sent26

Text  : Mój !
Tokens: 1__ 2

Chunks:

(ChunkerEvaluator) Sentence #356 from 00101597 from sent27

Text  : Bo w gruncie nie dbam o nic , tylko o_ to ,_ co jest myślą i_ jej wypowiedzeniem ._
Tokens: 1_ 2 3______ 4__ 5___ 6 7__ 8 9____ 10 11 12 13 14__ 15___ 16 17_ 18____________ 19

Chunks:

(ChunkerEvaluator) Sentence #357 from 00101597 from sent28

Text  : Gdzie to się kończy , kończy się moje czucie ._
Tokens: 1____ 2_ 3__ 4_____ 5 6_____ 7__ 8___ 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #358 from 00101597 from sent29

Text  : Więc w każdym razie nie » wiejski lud « ._
Tokens: 1___ 2 3_____ 4____ 5__ 6 7______ 8__ 9 10

Chunks:

(ChunkerEvaluator) Sentence #359 from 00101597 from sent30

Text  : Albo tak , lecz dla tych , co umieją myśleć sytuacyjnie z_ niego ._
Tokens: 1___ 2__ 3 4___ 5__ 6___ 7 8_ 9_____ 10____ 11_________ 12 13___ 14

Chunks:

(ChunkerEvaluator) Sentence #360 from 00101597 from sent31

Text  : nie » dla niego « .
Tokens: 1__ 2 3__ 4____ 5 6

Chunks:

(ChunkerEvaluator) Sentence #361 from 00101597 from sent32

Text  : Obierzynki sentymentalne .
Tokens: 1_________ 2____________ 3

Chunks:

(ChunkerEvaluator) Sentence #362 from 00101597 from sent33

Text  : Ile kłamstw sprzysięgło się dziś na myśl polską .
Tokens: 1__ 2______ 3__________ 4__ 5___ 6_ 7___ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #363 from 00101597 from sent34

Text  : Żeromski ?
Tokens: 1_______ 2

Chunks:
  TruePositive nam [1,1] = Żeromski (confidence=0.95)

(ChunkerEvaluator) Sentence #364 from 00101597 from sent35

Text  : Niewątpliwie : nietylko myli się , ale i kłamie –_ nie jest szczery ,_ ale pomimo to on jest dziś najgłębszy ,_ najsilniejszy ,_ najodważniej czujący ._
Tokens: 1___________ 2 3_______ 4___ 5__ 6 7__ 8 9_____ 10 11_ 12__ 13_____ 14 15_ 16____ 17 18 19__ 20__ 21________ 22 23___________ 24 25__________ 26_____ 27

Chunks:

2017-06-14 20:02:41,197 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 25 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101607.xml
(ChunkerEvaluator) Sentence #365 from 00101607 from sent1

Text  : Pamiętnik więźnia XIII fortu Twierdzy Przemyśl
Tokens: 1________ 2______ 3___ 4____ 5_______ 6_______

Chunks:
  TruePositive nam [5,6] = Twierdzy Przemyśl (confidence=0.99)

(ChunkerEvaluator) Sentence #366 from 00101607 from sent2

Text  : Nie wiem już , ile dni upłynęło od tego nieszczęśliwego ranka ,_ kiedy najniespodziewaniej dostali śmy się do austriackiej niewoli -_ ja i_ sztabskapitan Nowikow ._
Tokens: 1__ 2___ 3__ 4 5__ 6__ 7_______ 8_ 9___ 10_____________ 11___ 12 13___ 14_________________ 15_____ 16_ 17_ 18 19__________ 20_____ 21 22 23 24___________ 25_____ 26

Chunks:
  TruePositive nam [25,25] = Nowikow (confidence=0.60)

(ChunkerEvaluator) Sentence #367 from 00101607 from sent3

Text  : Te dziwne warunki , w których obecnie żyjemy , uniemożliwiają mi wszelką rachubę czasu ._
Tokens: 1_ 2_____ 3______ 4 5 6______ 7______ 8_____ 9 10____________ 11 12_____ 13_____ 14___ 15

Chunks:

(ChunkerEvaluator) Sentence #368 from 00101607 from sent4

Text  : Zanotuję więc bieg wypadków w ich kolejności .
Tokens: 1_______ 2___ 3___ 4_______ 5 6__ 7_________ 8

Chunks:

(ChunkerEvaluator) Sentence #369 from 00101607 from sent5

Text  : Po tradycyjnym zbadaniu i obrabowaniu nas zostali śmy umieszczeni w_ małej celce podziemnych katakumb fortu ._
Tokens: 1_ 2__________ 3_______ 4 5__________ 6__ 7______ 8__ 9__________ 10 11___ 12___ 13_________ 14______ 15___ 16

Chunks:

(ChunkerEvaluator) Sentence #370 from 00101607 from sent6

Text  : Nie upłynęła doba prawdopodobnie , bo dostali śmy tylko dwa razy jeść ,_ gdy stało się coś ,_ czego dotychczas nie rozumiem ._
Tokens: 1__ 2_______ 3___ 4_____________ 5 6_ 7______ 8__ 9____ 10_ 11__ 12__ 13 14_ 15___ 16_ 17_ 18 19___ 20________ 21_ 22______ 23

Chunks:

(ChunkerEvaluator) Sentence #371 from 00101607 from sent7

Text  : Oto w pewnej chwili rozległy się straszliwe pioruny , zatrzęsło się i_ zatrzeszczało całe nasze podziemie ._ ._ ._
Tokens: 1__ 2 3_____ 4_____ 5_______ 6__ 7_________ 8______ 9 10_______ 11_ 12 13___________ 14__ 15___ 16_______ 17 18 19

Chunks:

(ChunkerEvaluator) Sentence #372 from 00101607 from sent8

Text  : Fort widocznie rozpadał się .
Tokens: 1___ 2________ 3_______ 4__ 5

Chunks:

(ChunkerEvaluator) Sentence #373 from 00101607 from sent9

Text  : Rzucony na chłodny beton i pewny już śmierci , nie żałował em życia i_ ludzi ,_ tylko ._ ._ ._
Tokens: 1______ 2_ 3______ 4____ 5 6____ 7__ 8______ 9 10_ 11_____ 12 13___ 14 15___ 16 17___ 18 19 20

Chunks:

(ChunkerEvaluator) Sentence #374 from 00101607 from sent10

Text  : . . . ziemia jęknęła jak wielkie zwierzę i później przeciągle huczała ._
Tokens: 1 2 3 4_____ 5______ 6__ 7______ 8______ 9 10_____ 11________ 12_____ 13

Chunks:

(ChunkerEvaluator) Sentence #375 from 00101607 from sent11

Text  : Cierpi ból - a ludzie nie wiedzą - przemknęła mi myśl ,_ szybka ,_ ostra i_ jasna jak błyskawica ._
Tokens: 1_____ 2__ 3 4 5_____ 6__ 7_____ 8 9_________ 10 11__ 12 13____ 14 15___ 16 17___ 18_ 19________ 20

Chunks:

(ChunkerEvaluator) Sentence #376 from 00101607 from sent12

Text  : Czuł em , że to ostrze potrafi wszystko przeniknąć i_ dlatego myśl jest prawdziwa ._
Tokens: 1___ 2_ 3 4_ 5_ 6_____ 7______ 8_______ 9_________ 10 11_____ 12__ 13__ 14_______ 15

Chunks:

(ChunkerEvaluator) Sentence #377 from 00101607 from sent13

Text  : Długo jeszcze rozlegały się grzmoty i drżenie ziemi , ale już dalekie i_ obce ._
Tokens: 1____ 2______ 3________ 4__ 5______ 6 7______ 8____ 9 10_ 11_ 12_____ 13 14__ 15

Chunks:

(ChunkerEvaluator) Sentence #378 from 00101607 from sent14

Text  : Wsłuchując się w te niesamowite dźwięki , snuli śmy najrozmaitsze domysły ,_ zaczynając od ewentualności wulkanicznych wybuchów i_ trzęsienia ziemi ,_ a_ kończąc na bombardowaniu fortecy przez lotników Ententy ._
Tokens: 1_________ 2__ 3 4_ 5__________ 6______ 7 8____ 9__ 10___________ 11_____ 12 13________ 14 15___________ 16___________ 17______ 18 19________ 20___ 21 22 23_____ 24 25___________ 26_____ 27___ 28______ 29_____ 30

Chunks:
  TruePositive nam [29,29] = Ententy (confidence=0.95)

(ChunkerEvaluator) Sentence #379 from 00101607 from sent15

Text  : Byli śmy zgodni co do tego , że musiało zajść coś poważnego ,_ tym bardziej że nikt do nas nie zaglądał przez tyle czasu i_ nie dochodziły nas żadne odgłosy ._
Tokens: 1___ 2__ 3_____ 4_ 5_ 6___ 7 8_ 9______ 10___ 11_ 12_______ 13 14_ 15______ 16 17__ 18 19_ 20_ 21______ 22___ 23__ 24___ 25 26_ 27________ 28_ 29___ 30_____ 31

Chunks:

(ChunkerEvaluator) Sentence #380 from 00101607 from sent16

Text  : Znękani głodem i pragnieniem , wyłamali śmy drzwi w naszej celi ,_ usiłując wydostać się na wolność lub przynajmniej przypomnieć o_ swoim istnieniu ,_ ale na próżno ._ ._
Tokens: 1______ 2_____ 3 4__________ 5 6_______ 7__ 8____ 9 10____ 11__ 12 13______ 14______ 15_ 16 17_____ 18_ 19__________ 20_________ 21 22___ 23_______ 24 25_ 26 27____ 28 29

Chunks:

(ChunkerEvaluator) Sentence #381 from 00101607 from sent17

Text  : Żelazne drzwi nie ustępowały , a wołanie było bezskuteczne ._
Tokens: 1______ 2____ 3__ 4_________ 5 6 7______ 8___ 9___________ 10

Chunks:

(ChunkerEvaluator) Sentence #382 from 00101607 from sent18

Text  : Błądząc po omacku w poszukiwaniu innego wyjścia , natrafili śmy w_ podziemiu na studnię i_ dość bogate magazyny :_ prowianty i_ mundury ,_ widocznie dla załogi fortu ._
Tokens: 1______ 2_ 3_____ 4 5___________ 6_____ 7______ 8 9________ 10_ 11 12_______ 13 14_____ 15 16__ 17____ 18______ 19 20_______ 21 22_____ 23 24_______ 25_ 26____ 27___ 28

Chunks:

(ChunkerEvaluator) Sentence #383 from 00101607 from sent19

Text  : Oprócz rozmaitych wiktuałów w konserwach znaleźli śmy rum , tytoń ,_ świece i_ zapałki ._
Tokens: 1_____ 2_________ 3________ 4 5_________ 6_______ 7__ 8__ 9 10___ 11 12____ 13 14_____ 15

Chunks:

(ChunkerEvaluator) Sentence #384 from 00101607 from sent20

Text  : Używamy tego po trochu , obawiając się austriackich władz ,_ ale trudno ,_ same winne ,_ pozostawiwszy nas tu bez żadnej opieki ._
Tokens: 1______ 2___ 3_ 4_____ 5 6________ 7__ 8___________ 9____ 10 11_ 12____ 13 14__ 15___ 16 17___________ 18_ 19 20_ 21____ 22____ 23

Chunks:

(ChunkerEvaluator) Sentence #385 from 00101607 from sent21

Text  : Sądząc z zarostu twarzy , musiało upłynąć jeszcze ze dwa tygodnie ._
Tokens: 1_____ 2 3______ 4_____ 5 6______ 7______ 8______ 9_ 10_ 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #386 from 00101607 from sent22

Text  : Cały ten czas spędzili śmy na najrozmaitszych próbach wydostania się z_ więzienia ._
Tokens: 1___ 2__ 3___ 4_______ 5__ 6_ 7______________ 8______ 9_________ 10_ 11 12_______ 13

Chunks:

(ChunkerEvaluator) Sentence #387 from 00101607 from sent23

Text  : Niestety , ani żelazne drzwi , ani betonowe ściany nie uległy naszym dziecinnym narzędziom ,_ zrobionym z_ blachy i_ mosiężnych łusek ._
Tokens: 1_______ 2 3__ 4______ 5____ 6 7__ 8_______ 9_____ 10_ 11____ 12____ 13________ 14________ 15 16_______ 17 18____ 19 20________ 21___ 22

Chunks:

(ChunkerEvaluator) Sentence #388 from 00101607 from sent24

Text  : Kaleczyli śmy tylko ręce , padali śmy ze zmęczenia ,_ przeklinali śmy w_ najstraszliwszy sposób ,_ płakali śmy jak dzieci ._
Tokens: 1________ 2__ 3____ 4___ 5 6_____ 7__ 8_ 9________ 10 11_________ 12_ 13 14_____________ 15____ 16 17_____ 18_ 19_ 20____ 21

Chunks:

(ChunkerEvaluator) Sentence #389 from 00101607 from sent25

Text  : Wreszcie doszli śmy do wniosku , że nie wydostaniemy się sami ,_ lecz musimy spokojnie czekać ,_ przecież przypomną sobie o_ nas ._ ._ ._
Tokens: 1_______ 2_____ 3__ 4_ 5______ 6 7_ 8__ 9___________ 10_ 11__ 12 13__ 14____ 15_______ 16____ 17 18______ 19_______ 20___ 21 22_ 23 24 25

Chunks:

2017-06-14 20:02:41,326 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 26 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101612.xml
(ChunkerEvaluator) Sentence #390 from 00101612 from sent1

Text  : Suka
Tokens: 1___

Chunks:

(ChunkerEvaluator) Sentence #391 from 00101612 from sent2

Text  : Witek !
Tokens: 1____ 2

Chunks:
  FalseNegative nam [1,1] = Witek

(ChunkerEvaluator) Sentence #392 from 00101612 from sent3

Text  : Mój złoty Witek !
Tokens: 1__ 2____ 3____ 4

Chunks:
  TruePositive nam [3,3] = Witek (confidence=0.80)

(ChunkerEvaluator) Sentence #393 from 00101612 from sent4

Text  : Chłopak się obejrzał , źrebaka , na którym jechał ,_ powstrzymał i_ mruknął :_ –_ Cegój !_
Tokens: 1______ 2__ 3_______ 4 5______ 6 7_ 8_____ 9_____ 10 11_________ 12 13_____ 14 15 16___ 17

Chunks:
  FalsePositive nam [16,16] = Cegój (confidence=0.88) (incorrect boundry)

(ChunkerEvaluator) Sentence #394 from 00101612 from sent5

Text  : A gdzie ! . . .
Tokens: 1 2____ 3 4 5 6

Chunks:

(ChunkerEvaluator) Sentence #395 from 00101612 from sent6

Text  : To psinorody dopiro , zaro w skodę kiej swynie !_
Tokens: 1_ 2________ 3_____ 4 5___ 6 7____ 8___ 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #396 from 00101612 from sent7

Text  : Pchnął swego konia , obegnał rozpraszające się po drodze i_ zbożu stado źrebiąt ,_ spędził w_ kupę i_ podjechał znowu pod parkan okalający ogród ,_ gdzie stała dziesięcioletnia może dziewczyna ._
Tokens: 1_____ 2____ 3____ 4 5______ 6____________ 7__ 8_ 9_____ 10 11___ 12___ 13_____ 14 15_____ 16 17__ 18 19_______ 20___ 21_ 22____ 23_______ 24___ 25 26___ 27___ 28______________ 29__ 30________ 31

Chunks:

(ChunkerEvaluator) Sentence #397 from 00101612 from sent8

Text  : – Mój drogi Witek , pomóż mi zejść , mój złociutki ,_ ja się tak boję ,_ jeszcze spadnę –_ szczebiotała przytrzymując się silnie ostro zakończonych sztachet ._
Tokens: 1 2__ 3____ 4____ 5 6____ 7_ 8____ 9 10_ 11_______ 12 13 14_ 15_ 16__ 17 18_____ 19____ 20 21__________ 22___________ 23_ 24____ 25___ 26__________ 27______ 28

Chunks:
  TruePositive nam [4,4] = Witek (confidence=1.00)

(ChunkerEvaluator) Sentence #398 from 00101612 from sent9

Text  : – A juści – dostanę ta ! . . ._
Tokens: 1 2 3____ 4 5______ 6_ 7 8 9 10

Chunks:

(ChunkerEvaluator) Sentence #399 from 00101612 from sent10

Text  : I obojętnie zsuwał ściągnięte aż do kolan spodnie .
Tokens: 1 2________ 3_____ 4_________ 5_ 6_ 7____ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #400 from 00101612 from sent11

Text  : – To podjedź .
Tokens: 1 2_ 3______ 4

Chunks:

(ChunkerEvaluator) Sentence #401 from 00101612 from sent12

Text  : – Bez rów ?
Tokens: 1 2__ 3__ 4

Chunks:

(ChunkerEvaluator) Sentence #402 from 00101612 from sent13

Text  : – Prawda – i spojrzała z przykrością w głęboki rów ,_ idący równolegle z_ parkanem ._
Tokens: 1 2_____ 3 4 5________ 6 7__________ 8 9______ 10_ 11 12___ 13________ 14 15______ 16

Chunks:

(ChunkerEvaluator) Sentence #403 from 00101612 from sent14

Text  : – Niech paninka chyci się słupka okrakiem i tak zjedzie na zimię ._
Tokens: 1 2____ 3______ 4____ 5__ 6_____ 7_______ 8 9__ 10_____ 11 12___ 13

Chunks:

(ChunkerEvaluator) Sentence #404 from 00101612 from sent15

Text  : – Jak to okrakiem ?
Tokens: 1 2__ 3_ 4_______ 5

Chunks:

(ChunkerEvaluator) Sentence #405 from 00101612 from sent16

Text  : – Loboga z tymi kobitami ! . . .
Tokens: 1 2_____ 3 4___ 5_______ 6 7 8 9

Chunks:
  FalsePositive nam [2,2] = Loboga (confidence=0.65) (incorrect boundry)

(ChunkerEvaluator) Sentence #406 from 00101612 from sent17

Text  : To zawdy nic nie rozumi .
Tokens: 1_ 2____ 3__ 4__ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #407 from 00101612 from sent18

Text  : Dyć kolanami i tyla .
Tokens: 1__ 2_______ 3 4___ 5

Chunks:

(ChunkerEvaluator) Sentence #408 from 00101612 from sent19

Text  : – Ach !
Tokens: 1 2__ 3

Chunks:

(ChunkerEvaluator) Sentence #409 from 00101612 from sent20

Text  : Już wiem , wiem .
Tokens: 1__ 2___ 3 4___ 5

Chunks:

(ChunkerEvaluator) Sentence #410 from 00101612 from sent21

Text  : Przypomniała sobie Ewkę zjeżdżającą z brogu po słupie .
Tokens: 1___________ 2____ 3___ 4__________ 5 6____ 7_ 8_____ 9

Chunks:
  TruePositive nam [3,3] = Ewkę (confidence=0.82)

(ChunkerEvaluator) Sentence #411 from 00101612 from sent22

Text  : – Tylko nie patrz , jak będę schodziła .
Tokens: 1 2____ 3__ 4____ 5 6__ 7___ 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #412 from 00101612 from sent23

Text  : – Przez co ?
Tokens: 1 2____ 3_ 4

Chunks:

(ChunkerEvaluator) Sentence #413 from 00101612 from sent24

Text  : – No , nie patrz !
Tokens: 1 2_ 3 4__ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #414 from 00101612 from sent25

Text  : – zawołała energicznie , rozczerwieniona i zła , że nie rozumiał dlaczego ._
Tokens: 1 2_______ 3__________ 4 5______________ 6 7__ 8 9_ 10_ 11______ 12______ 13

Chunks:

(ChunkerEvaluator) Sentence #415 from 00101612 from sent26

Text  : Chłopak drwiąco się roześmiał i odwrócił , a ona książkę trzymaną w_ ręku rzuciła na drogę i_ tak ,_ jak radził ,_ zsunęła się po słupku ._
Tokens: 1______ 2______ 3__ 4________ 5 6_______ 7 8 9__ 10_____ 11______ 12 13__ 14_____ 15 16___ 17 18_ 19 20_ 21____ 22 23_____ 24_ 25 26____ 27

Chunks:

(ChunkerEvaluator) Sentence #416 from 00101612 from sent27

Text  : Przez rów przeszła i wesoło zawołała : – Dawaj tu konia ,_ pojedziemy trochę ._
Tokens: 1____ 2__ 3_______ 4 5_____ 6_______ 7 8 9____ 10 11___ 12 13________ 14____ 15

Chunks:

(ChunkerEvaluator) Sentence #417 from 00101612 from sent28

Text  : Chłopak zaczął się kłopotliwie drapać w głowę .
Tokens: 1______ 2_____ 3__ 4__________ 5_____ 6 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #418 from 00101612 from sent29

Text  : – Dajże rękę , siądę z tobą i pojedziemy ._
Tokens: 1 2____ 3___ 4 5____ 6 7___ 8 9_________ 10

Chunks:

(ChunkerEvaluator) Sentence #419 from 00101612 from sent30

Text  : – A juści , a jak kto obacy i powi jaśnie pani ,_ to co ?_
Tokens: 1 2 3____ 4 5 6__ 7__ 8____ 9 10__ 11____ 12__ 13 14 15 16

Chunks:

(ChunkerEvaluator) Sentence #420 from 00101612 from sent31

Text  : – mruknął markotnie .
Tokens: 1 2______ 3________ 4

Chunks:

(ChunkerEvaluator) Sentence #421 from 00101612 from sent32

Text  : – Nikt nie będzie widział , pojedziemy na łąki albo do lasu –_ no ,_ mój Witeczku ._
Tokens: 1 2___ 3__ 4_____ 5______ 6 7_________ 8_ 9___ 10__ 11 12__ 13 14 15 16_ 17______ 18

Chunks:
  TruePositive nam [17,17] = Witeczku (confidence=0.99)

(ChunkerEvaluator) Sentence #422 from 00101612 from sent33

Text  : – Kiej się bojem .
Tokens: 1 2___ 3__ 4____ 5

Chunks:

(ChunkerEvaluator) Sentence #423 from 00101612 from sent34

Text  : Jaśnie ociec paninki powiedzieli , że kiej jesce raz zobacą ,_ co z_ paninką jeżdżę ,_ to mi taką frycówkę sprawią ._ ._ ._
Tokens: 1_____ 2____ 3______ 4__________ 5 6_ 7___ 8____ 9__ 10____ 11 12 13 14_____ 15____ 16 17 18 19__ 20______ 21_____ 22 23 24

Chunks:

(ChunkerEvaluator) Sentence #424 from 00101612 from sent35

Text  : – Nie będzie wiedział , dajże rękę , już ci podaruję wstążkę czerwoną do koszuli ._
Tokens: 1 2__ 3_____ 4_______ 5 6____ 7___ 8 9__ 10 11______ 12_____ 13______ 14 15_____ 16

Chunks:

(ChunkerEvaluator) Sentence #425 from 00101612 from sent36

Text  : Chłopak zmiękł .
Tokens: 1______ 2_____ 3

Chunks:

(ChunkerEvaluator) Sentence #426 from 00101612 from sent37

Text  : Ledwie bosą nogę wyprężył poziomo jak strzemię i rękę podał ,_ już dziewczyna siedziała przed nim ,_ chwyciła się grzywy i_ biła bosymi ,_ w_ pantofelkach tylko ,_ nogami po bokach źrebca ._
Tokens: 1_____ 2___ 3___ 4_______ 5______ 6__ 7_______ 8 9___ 10___ 11 12_ 13________ 14_______ 15___ 16_ 17 18______ 19_ 20____ 21 22__ 23____ 24 25 26__________ 27___ 28 29____ 30 31____ 32____ 33

Chunks:

(ChunkerEvaluator) Sentence #427 from 00101612 from sent38

Text  : Witek jedną ręką przycisnął ją do siebie , drugą klepnął w_ kark konia ,_ zawrócił ,_ gwizdnął ,_ uderzył piętami –_ polecieli jak wiatr ,_ drogą ku łąkom leżącym niżej ,_ pomiędzy parkiem a_ lasem ._
Tokens: 1____ 2____ 3___ 4_________ 5_ 6_ 7_____ 8 9____ 10_____ 11 12__ 13___ 14 15______ 16 17______ 18 19_____ 20_____ 21 22_______ 23_ 24___ 25 26___ 27 28___ 29_____ 30___ 31 32______ 33_____ 34 35___ 36

Chunks:
  FalseNegative nam [1,1] = Witek

(ChunkerEvaluator) Sentence #428 from 00101612 from sent39

Text  : Dziewczynie oczy i usta aż się śmiały z radości ogromnej ,_ przenikał ją prąd jakiejś dzikiej energii i_ porywała szalona żądza ruchu ,_ powietrza ,_ krzyków ;_ unosiła się na koniu i_ rwała naprzód ._
Tokens: 1__________ 2___ 3 4___ 5_ 6__ 7_____ 8 9______ 10______ 11 12_______ 13 14__ 15_____ 16_____ 17_____ 18 19______ 20_____ 21___ 22___ 23 24_______ 25 26_____ 27 28_____ 29_ 30 31___ 32 33___ 34_____ 35

Chunks:

2017-06-14 20:02:41,463 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 27 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101615.xml
(ChunkerEvaluator) Sentence #429 from 00101615 from sent1

Text  : Zstępując jednak w siebie głębiej , spostrzegam , że powodem zaniku mej przyjaźni dla Śniatyńskiego były nie tylko jego depesze lub listy ._
Tokens: 1________ 2_____ 3 4_____ 5______ 6 7__________ 8 9_ 10_____ 11____ 12_ 13_______ 14_ 15___________ 16__ 17_ 18___ 19__ 20_____ 21_ 22___ 23

Chunks:
  TruePositive nam [15,15] = Śniatyńskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #430 from 00101615 from sent2

Text  : Właściwie mówiąc , nie mogę mu darować tego , za co powinien em mu być wdzięczny ,_ to jest jego pośrednictwa między mną a_ Anielką ._
Tokens: 1________ 2_____ 3 4__ 5___ 6_ 7______ 8___ 9 10 11 12______ 13 14 15_ 16_______ 17 18 19__ 20__ 21__________ 22____ 23_ 24 25_____ 26

Chunks:
  TruePositive nam [25,25] = Anielką (confidence=0.99)

(ChunkerEvaluator) Sentence #431 from 00101615 from sent3

Text  : Sam go o to błagał em , ale właśnie dlatego ,_ żem go błagał ,_ że powierzył em mu swoje losy i_ ster mojej łodzi ,_ żem się przyznał do mej słabości i_ zrobił em go niejako mym opiekunem ,_ że na koniec to upokorzenie i_ nieszczęście ,_ jakie mnie spotkało ,_ przeszło naprzód przez jego ręce ,_ została mi na dnie w_ sercu uraza ._
Tokens: 1__ 2_ 3 4_ 5_____ 6_ 7 8__ 9______ 10_____ 11 12_ 13 14____ 15 16 17_______ 18 19 20___ 21__ 22 23__ 24___ 25___ 26 27_ 28_ 29______ 30 31_ 32______ 33 34____ 35 36 37_____ 38_ 39_______ 40 41 42 43____ 44 45_________ 46 47__________ 48 49___ 50__ 51______ 52 53______ 54_____ 55___ 56__ 57__ 58 59_____ 60 61 62__ 63 64___ 65___ 66

Chunks:

(ChunkerEvaluator) Sentence #432 from 00101615 from sent4

Text  : Jest we mnie gniew na siebie samego , ale zarazem i_ na Śniatyńskiego za to ,_ że brał we wszystkim udział ._
Tokens: 1___ 2_ 3___ 4____ 5_ 6_____ 7_____ 8 9__ 10_____ 11 12 13___________ 14 15 16 17 18__ 19 20_______ 21____ 22

Chunks:
  TruePositive nam [13,13] = Śniatyńskiego (confidence=0.99)

(ChunkerEvaluator) Sentence #433 from 00101615 from sent5

Text  : Wiem , że to jest niesłuszne , ale nie mogę na to poradzić ,_ że przyjaźń moja wypaliła się jak świeca ._
Tokens: 1___ 2 3_ 4_ 5___ 6_________ 7 8__ 9__ 10__ 11 12 13______ 14 15 16______ 17__ 18______ 19_ 20_ 21____ 22

Chunks:

(ChunkerEvaluator) Sentence #434 from 00101615 from sent6

Text  : Zresztą nie był em nigdy zbyt pochopny do uczuć przyjaźni ._
Tokens: 1______ 2__ 3__ 4_ 5____ 6___ 7_______ 8_ 9____ 10_______ 11

Chunks:

(ChunkerEvaluator) Sentence #435 from 00101615 from sent7

Text  : Żył em w bliższych stosunkach ze Śniatyńskim może właśnie dlatego ,_ żeśmy żyli na dwóch końcach Europy ._
Tokens: 1__ 2_ 3 4________ 5_________ 6_ 7__________ 8___ 9______ 10_____ 11 12___ 13__ 14 15___ 16_____ 17____ 18

Chunks:
  TruePositive nam [7,7] = Śniatyńskim (confidence=0.99)
  TruePositive nam [17,17] = Europy (confidence=0.98)

(ChunkerEvaluator) Sentence #436 from 00101615 from sent8

Text  : Innych przyjaciół nie miałem .
Tokens: 1_____ 2_________ 3__ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #437 from 00101615 from sent9

Text  : W ogóle należę do istot , które zowią pojedynkami ._
Tokens: 1 2____ 3_____ 4_ 5____ 6 7____ 8____ 9__________ 10

Chunks:

(ChunkerEvaluator) Sentence #438 from 00101615 from sent10

Text  : Przypominam sobie , żem nieraz myślał o tym z pewną chełpliwością ,_ biorąc to za dowód siły ._
Tokens: 1__________ 2____ 3 4__ 5_____ 6_____ 7 8__ 9 10___ 11___________ 12 13____ 14 15 16___ 17__ 18

Chunks:

(ChunkerEvaluator) Sentence #439 from 00101615 from sent11

Text  : Istotnie , w świecie na przykład zwierzęcym skupiają się tylko istoty słabe ,_ te zaś ,_ którym natura dała potężne kły i_ pazury ,_ chodzą samotnie ,_ bo sobie wystarczają ._
Tokens: 1_______ 2 3 4______ 5_ 6_______ 7_________ 8_______ 9__ 10___ 11____ 12___ 13 14 15_ 16 17____ 18____ 19__ 20_____ 21_ 22 23____ 24 25____ 26______ 27 28 29___ 30_________ 31

Chunks:

(ChunkerEvaluator) Sentence #440 from 00101615 from sent12

Text  : Zasada ta jednak wyjątkowo tylko może stosować się do ludzi ._
Tokens: 1_____ 2_ 3_____ 4________ 5____ 6___ 7_______ 8__ 9_ 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #441 from 00101615 from sent13

Text  : Niezdolność do przyjaźni dowodzi w człowieku najczęściej nie siły ,_ ale oschłości serca ._
Tokens: 1__________ 2_ 3________ 4______ 5 6________ 7__________ 8__ 9___ 10 11_ 12_______ 13___ 14

Chunks:

(ChunkerEvaluator) Sentence #442 from 00101615 from sent14

Text  : We mnie była obok tego niesłychana nieśmiałość i wrażliwość ._
Tokens: 1_ 2___ 3___ 4___ 5___ 6__________ 7__________ 8 9_________ 10

Chunks:

(ChunkerEvaluator) Sentence #443 from 00101615 from sent15

Text  : Miałem serce podobne do mimozy , która zamyka się za każdym dotknięciem ._
Tokens: 1_____ 2____ 3______ 4_ 5_____ 6 7____ 8_____ 9__ 10 11____ 12_________ 13

Chunks:

(ChunkerEvaluator) Sentence #444 from 00101615 from sent16

Text  : Że nigdy nie zawarł em przyjaźni z żadną kobietą ,_ to znowu inna rzecz ._
Tokens: 1_ 2____ 3__ 4_____ 5_ 6________ 7 8____ 9______ 10 11 12___ 13__ 14___ 15

Chunks:

(ChunkerEvaluator) Sentence #445 from 00101615 from sent17

Text  : Miałem ochotę przyjaźnić się tylko z takimi , od których chciało mi się czegoś więcej ,_ więc nie mogła to być przyjaźń rzetelna ._
Tokens: 1_____ 2_____ 3_________ 4__ 5____ 6 7_____ 8 9_ 10_____ 11_____ 12 13_ 14____ 15____ 16 17__ 18_ 19___ 20 21_ 22______ 23______ 24

Chunks:

(ChunkerEvaluator) Sentence #446 from 00101615 from sent18

Text  : Udawał em ją natomiast wielokrotnie , tak jak na przykład lis udaje nieżywego ,_ aby uśpić czujność wron i_ tym pewniej którą capnąć ._
Tokens: 1_____ 2_ 3_ 4________ 5___________ 6 7__ 8__ 9_ 10______ 11_ 12___ 13_______ 14 15_ 16___ 17______ 18__ 19 20_ 21_____ 22___ 23____ 24

Chunks:

(ChunkerEvaluator) Sentence #447 from 00101615 from sent19

Text  : Nie idzie za tym , żeby m nie wierzył w_ możliwość przyjaźni mężczyzny z_ kobietą ._
Tokens: 1__ 2____ 3_ 4__ 5 6___ 7 8__ 9______ 10 11_______ 12_______ 13_______ 14 15_____ 16

Chunks:

(ChunkerEvaluator) Sentence #448 from 00101615 from sent20

Text  : Przede wszystkim nie jestem głupcem , który mierzy świat własną miarą ,_ ani szują ,_ która zawsze podejrzewa ,_ a_ następnie liczne spostrzeżenia dowiodły mi ,_ że podobna przyjaźń zupełnie jest możliwa ._
Tokens: 1_____ 2________ 3__ 4_____ 5______ 6 7____ 8_____ 9____ 10____ 11___ 12 13_ 14___ 15 16___ 17____ 18________ 19 20 21_______ 22____ 23___________ 24______ 25 26 27 28_____ 29______ 30______ 31__ 32_____ 33

Chunks:

(ChunkerEvaluator) Sentence #449 from 00101615 from sent21

Text  : Skoro w rzeczywistości istnieją takie uczucia i stosunki jak brata i_ siostry ,_ to mogą mieć one zawsze miejsce ,_ gdy dwie istoty ,_ choćby obce ,_ poczują się bratem i_ siostrą ._
Tokens: 1____ 2 3_____________ 4_______ 5____ 6______ 7 8_______ 9__ 10___ 11 12_____ 13 14 15__ 16__ 17_ 18____ 19_____ 20 21_ 22__ 23____ 24 25____ 26__ 27 28_____ 29_ 30____ 31 32_____ 33

Chunks:

(ChunkerEvaluator) Sentence #450 from 00101615 from sent22

Text  : Powiem nawet więcej , że zdolnością do tego rodzaju uczuć odznaczają się dusze wyborowe ,_ mające wrodzony pociąg do platońskich biesiad ,_ zatem dusze poetów ,_ artystów ,_ filozofów i_ w_ ogóle istot przechodzących zwykłą krawiecką miarę ._
Tokens: 1_____ 2____ 3_____ 4 5_ 6_________ 7_ 8___ 9______ 10___ 11________ 12_ 13___ 14______ 15 16____ 17______ 18____ 19 20_________ 21_____ 22 23___ 24___ 25____ 26 27______ 28 29_______ 30 31 32___ 33___ 34____________ 35____ 36_______ 37___ 38

Chunks:

(ChunkerEvaluator) Sentence #451 from 00101615 from sent23

Text  : Jeśli to jest dowód , że nie było we mnie materiału ani na poetę ,_ ani na artystę ,_ ani na znakomitego człowieka –_ to tym gorzej dla mnie ._
Tokens: 1____ 2_ 3___ 4____ 5 6_ 7__ 8___ 9_ 10__ 11_______ 12_ 13 14___ 15 16_ 17 18_____ 19 20_ 21 22_________ 23_______ 24 25 26_ 27____ 28_ 29__ 30

Chunks:

(ChunkerEvaluator) Sentence #452 from 00101615 from sent24

Text  : Prawdopodobnie nie było , skoro nie został em niczym więcej jak Leonem Płoszowskim ._
Tokens: 1_____________ 2__ 3___ 4 5____ 6__ 7_____ 8_ 9_____ 10____ 11_ 12____ 13_________ 14

Chunks:
  TruePositive nam [12,13] = Leonem Płoszowskim (confidence=1.00)

2017-06-14 20:02:41,612 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 28 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101741.xml
(ChunkerEvaluator) Sentence #453 from 00101741 from sent1

Text  : Tworzą się w okresach przelotów , konstruując przeróżne figury na niebie ._
Tokens: 1_____ 2__ 3 4_______ 5________ 6 7__________ 8________ 9_____ 10 11____ 12

Chunks:

(ChunkerEvaluator) Sentence #454 from 00101741 from sent2

Text  : Niekiedy jest to najpopularniejszy klucz , innym razem znane laikom tylko z_ popularnego powiedzenia szyk "_ gęsiego "_ ._
Tokens: 1_______ 2___ 3_ 4________________ 5____ 6 7____ 8____ 9____ 10____ 11___ 12 13_________ 14_________ 15__ 16 17_____ 18 19

Chunks:

(ChunkerEvaluator) Sentence #455 from 00101741 from sent3

Text  : Naukowcy od lat badają fenomen tego zjawiska .
Tokens: 1_______ 2_ 3__ 4_____ 5______ 6___ 7_______ 8

Chunks:

(ChunkerEvaluator) Sentence #456 from 00101741 from sent4

Text  : Najbardziej skrajne opinie mówiły o przypadku , a drugie o_ zamontowanym systemie nawigacji GPS ._
Tokens: 1__________ 2______ 3_____ 4_____ 5 6________ 7 8 9_____ 10 11__________ 12______ 13_______ 14_ 15

Chunks:
  TruePositive nam [14,14] = GPS (confidence=0.93)

(ChunkerEvaluator) Sentence #457 from 00101741 from sent5

Text  : Jak jest naprawdę z ptasimi formacjami ?
Tokens: 1__ 2___ 3_______ 4 5______ 6_________ 7

Chunks:

(ChunkerEvaluator) Sentence #458 from 00101741 from sent6

Text  : Dlaczego i kiedy wędrują ?
Tokens: 1_______ 2 3____ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #459 from 00101741 from sent7

Text  : Podstawowym powodem jest oczywiście zmiana pór roku .
Tokens: 1__________ 2______ 3___ 4_________ 5_____ 6__ 7___ 8

Chunks:

(ChunkerEvaluator) Sentence #460 from 00101741 from sent8

Text  : Szczególnie jest to zauważane w krajach w klimacie umiarkowanym ,_ na półkuli północnej ._
Tokens: 1__________ 2___ 3_ 4________ 5 6______ 7 8_______ 9___________ 10 11 12_____ 13_______ 14

Chunks:

(ChunkerEvaluator) Sentence #461 from 00101741 from sent9

Text  : Można wtedy odróżnić porę ciepłą ( okres od początku marca do połowy października )_ i_ porę mroźną (_ listopad -_ luty )_ ._
Tokens: 1____ 2____ 3_______ 4___ 5_____ 6 7____ 8_ 9_______ 10___ 11 12____ 13__________ 14 15 16__ 17____ 18 19______ 20 21__ 22 23

Chunks:

(ChunkerEvaluator) Sentence #462 from 00101741 from sent10

Text  : Warunkuje to dostęp do pożywienia , dlatego ptaki są zmuszone przenosić się zimą w_ tereny ciepłe ,_ na półkulę południową ._
Tokens: 1________ 2_ 3_____ 4_ 5_________ 6 7______ 8____ 9_ 10______ 11_______ 12_ 13__ 14 15____ 16____ 17 18 19_____ 20________ 21

Chunks:

(ChunkerEvaluator) Sentence #463 from 00101741 from sent11

Text  : Dla przykładu weźmy jeden popularnych polskich gatunków – obecną niemal w_ każdym regionie kaczkę krzyżówkę ._
Tokens: 1__ 2________ 3____ 4____ 5__________ 6_______ 7_______ 8 9_____ 10____ 11 12____ 13______ 14____ 15_______ 16

Chunks:

(ChunkerEvaluator) Sentence #464 from 00101741 from sent12

Text  : Jest to gatunek wędrowny , jednak kilkanaście procent osobników z_ naszego kraju pozostaje u_ nas nawet w_ okresie zimowym ._
Tokens: 1___ 2_ 3______ 4_______ 5 6_____ 7__________ 8______ 9________ 10 11_____ 12___ 13_______ 14 15_ 16___ 17 18_____ 19_____ 20

Chunks:

(ChunkerEvaluator) Sentence #465 from 00101741 from sent13

Text  : Ulubionymi zimowiskami są dla nich regiony południowo - zachodniej i_ północnej Polski przy niezamarzających rzekach ._
Tokens: 1_________ 2__________ 3_ 4__ 5___ 6______ 7_________ 8 9_________ 10 11_______ 12____ 13__ 14______________ 15_____ 16

Chunks:
  TruePositive nam [12,12] = Polski (confidence=0.94)
  FalsePositive nam [7,9] = południowo - zachodniej (confidence=0.75) (incorrect boundry)

(ChunkerEvaluator) Sentence #466 from 00101741 from sent14

Text  : Pozostałe osobniki odlatują znad Wisły między wrześniem , a grudniem ._
Tokens: 1________ 2_______ 3_______ 4___ 5____ 6_____ 7________ 8 9 10______ 11

Chunks:
  TruePositive nam [5,5] = Wisły (confidence=0.99)

(ChunkerEvaluator) Sentence #467 from 00101741 from sent15

Text  : Powracają do nas od lutego do kwietnia .
Tokens: 1________ 2_ 3__ 4_ 5_____ 6_ 7_______ 8

Chunks:

(ChunkerEvaluator) Sentence #468 from 00101741 from sent16

Text  : Są także gatunki , którym wystarczy przemieszczenie się o kilkaset kilometrów np ._ z_ północy Polski na południe ,_ gdzie różnica temperatur może wynieść kilka stopni C_ ._ ,_ dla nich jednak to wystarczy ._
Tokens: 1_ 2____ 3______ 4 5_____ 6________ 7______________ 8__ 9 10______ 11________ 12 13 14 15_____ 16____ 17 18______ 19 20___ 21_____ 22________ 23__ 24_____ 25___ 26____ 27 28 29 30_ 31__ 32____ 33 34_______ 35

Chunks:
  TruePositive nam [16,16] = Polski (confidence=1.00)
  FalsePositive nam [27,28] = C . (confidence=0.59) (incorrect boundry)

(ChunkerEvaluator) Sentence #469 from 00101741 from sent17

Text  : Tak jest z myszołowem , który wędrując np . z_ Norwegii znajdzie cieplejsze rejony już w_ Polsce powiększając tym samym populację tego gatunku w_ naszym kraju ._
Tokens: 1__ 2___ 3 4_________ 5 6____ 7_______ 8_ 9 10 11______ 12______ 13________ 14____ 15_ 16 17____ 18__________ 19_ 20___ 21_______ 22__ 23_____ 24 25____ 26___ 27

Chunks:
  TruePositive nam [11,11] = Norwegii (confidence=1.00)
  TruePositive nam [17,17] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #470 from 00101741 from sent18

Text  : Wtedy powstaje walka o pokarm i myszołowy muszą szukać pożywienia nawet na północnych częściach Afryki ._
Tokens: 1____ 2_______ 3____ 4 5_____ 6 7________ 8____ 9_____ 10________ 11___ 12 13________ 14_______ 15____ 16

Chunks:
  TruePositive nam [15,15] = Afryki (confidence=1.00)

(ChunkerEvaluator) Sentence #471 from 00101741 from sent19

Text  : Co ciekawe są w stanie pokonać podczas przelotu ponad dziesięć tysięcy kilometrów ._
Tokens: 1_ 2______ 3_ 4 5_____ 6______ 7______ 8_______ 9____ 10______ 11_____ 12________ 13

Chunks:

(ChunkerEvaluator) Sentence #472 from 00101741 from sent20

Text  : Gatunek ten nie układa się w formacje , lecąc w_ parach ._
Tokens: 1______ 2__ 3__ 4_____ 5__ 6 7_______ 8 9____ 10 11____ 12

Chunks:

(ChunkerEvaluator) Sentence #473 from 00101741 from sent21

Text  : Dlaczego więc ptaki poświęcają tyle czasu na odloty i później mają chęć powrócić na letnisko ?_
Tokens: 1_______ 2___ 3____ 4_________ 5___ 6____ 7_ 8_____ 9 10_____ 11__ 12__ 13______ 14 15______ 16

Chunks:

(ChunkerEvaluator) Sentence #474 from 00101741 from sent22

Text  : Odpowiedź jest prosta – pokarm .
Tokens: 1________ 2___ 3_____ 4 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #475 from 00101741 from sent23

Text  : Na północnej części globu sezon letni oznacza wielką stołówkę ,_ od owadów do gryzoni –_ wszystkie gatunki stają się liczniejsze ,_ co daje pole do popisu dla wygłodniałych ptaków ,_ przebywających w_ okresie lęgowym ,_ bądź już dokarmiających młode ._
Tokens: 1_ 2________ 3_____ 4____ 5____ 6____ 7______ 8_____ 9_______ 10 11 12____ 13 14_____ 15 16_______ 17_____ 18___ 19_ 20_________ 21 22 23__ 24__ 25 26____ 27_ 28___________ 29____ 30 31____________ 32 33_____ 34_____ 35 36__ 37_ 38____________ 39___ 40

Chunks:

(ChunkerEvaluator) Sentence #476 from 00101741 from sent24

Text  : Można napisać " co gatunek to obyczaj " – każdy z_ nich charakteryzuje się innym okresem odlotu oraz innym sposobem zimowania ._
Tokens: 1____ 2______ 3 4_ 5______ 6_ 7______ 8 9 10___ 11 12__ 13____________ 14_ 15___ 16_____ 17____ 18__ 19___ 20______ 21_______ 22

Chunks:

2017-06-14 20:02:41,729 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 29 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101770.xml
(ChunkerEvaluator) Sentence #477 from 00101770 from sent1

Text  : Można wprawdzie powiedzieć , że zawsze porównanie dwóch krajów trafi na różne problemy ,_ na nieporównywalne elementy ._
Tokens: 1____ 2________ 3_________ 4 5_ 6_____ 7_________ 8____ 9_____ 10___ 11 12___ 13______ 14 15 16_____________ 17______ 18

Chunks:

(ChunkerEvaluator) Sentence #478 from 00101770 from sent2

Text  : Jednak można pewnie wybrać sobie porównanie lepiej albo gorzej ._
Tokens: 1_____ 2____ 3_____ 4_____ 5____ 6_________ 7_____ 8___ 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #479 from 00101770 from sent3

Text  : Irlandia i Finlandia należą do kategorii " zdecydowanie gorzej "_ ._
Tokens: 1_______ 2 3________ 4_____ 5_ 6________ 7 8___________ 9_____ 10 11

Chunks:
  TruePositive nam [1,1] = Irlandia (confidence=0.68)
  TruePositive nam [3,3] = Finlandia (confidence=0.99)

(ChunkerEvaluator) Sentence #480 from 00101770 from sent4

Text  : Kilka powodów : Liczba ludności jest niewielka , inna skala wszelkich typowych problemów państwa dobrobytu (_ emerytury ,_ służba zdrowia )_ ._
Tokens: 1____ 2______ 3 4_____ 5_______ 6___ 7________ 8 9___ 10___ 11_______ 12______ 13_______ 14_____ 15_______ 16 17_______ 18 19____ 20_____ 21 22

Chunks:

(ChunkerEvaluator) Sentence #481 from 00101770 from sent5

Text  : Nie dość , że ludzi mało , to jeszcze kraje leżą na uboczu ,_ tranzyt ich nie potrzebuje ,_ więc nie trzeba ponosić takich nakładów na infrastrukturę (_ drogi ,_ koleje )_ ._
Tokens: 1__ 2___ 3 4_ 5____ 6___ 7 8_ 9______ 10___ 11__ 12 13____ 14 15_____ 16_ 17_ 18________ 19 20__ 21_ 22____ 23_____ 24____ 25______ 26 27____________ 28 29___ 30 31____ 32 33

Chunks:

(ChunkerEvaluator) Sentence #482 from 00101770 from sent6

Text  : Nie było za wiele starego przemysłu ( ciężkiego , lekkiego )_ ,_ więc można oszczędzić na poważnych reformach strukturalnych i_ skupić się na innych polach działania ._
Tokens: 1__ 2___ 3_ 4____ 5______ 6________ 7 8________ 9 10______ 11 12 13__ 14___ 15________ 16 17_______ 18_______ 19____________ 20 21____ 22_ 23 24____ 25____ 26_______ 27

Chunks:

(ChunkerEvaluator) Sentence #483 from 00101770 from sent7

Text  : Irlandia miała szczęście - należała do EWG , była biednym krajem ,_ w_ którym wszyscy mówią w_ języku zbliżonym do angielskiego ,_ a_ akurat na fali nowej gospodarki płynęły inwestycje technologiczne (_ Microsoft -_ 1985 ,_ Intel -_ 1989 ,_ Dell -_ 1990 i_ już w_ innych czasach Google -_ 2003 )_ ._
Tokens: 1_______ 2____ 3________ 4 5_______ 6_ 7__ 8 9___ 10_____ 11____ 12 13 14____ 15_____ 16___ 17 18____ 19_______ 20 21__________ 22 23 24____ 25 26__ 27___ 28________ 29_____ 30________ 31____________ 32 33_______ 34 35__ 36 37___ 38 39__ 40 41__ 42 43__ 44 45_ 46 47____ 48_____ 49____ 50 51__ 52 53

Chunks:
  TruePositive nam [1,1] = Irlandia (confidence=0.98)
  TruePositive nam [7,7] = EWG (confidence=1.00)
  TruePositive nam [33,33] = Microsoft (confidence=0.76)
  TruePositive nam [37,37] = Intel (confidence=0.95)
  TruePositive nam [41,41] = Dell (confidence=1.00)
  TruePositive nam [49,49] = Google (confidence=0.99)

(ChunkerEvaluator) Sentence #484 from 00101770 from sent8

Text  : Irlandia szczęściu wprawdzie pomogła , obniżając podatki i utrzymując wspólnym wysiłkiem niższe wynagrodzenia (_ przynajmniej na początku )_ ._
Tokens: 1_______ 2________ 3________ 4______ 5 6________ 7______ 8 9_________ 10______ 11_______ 12____ 13___________ 14 15__________ 16 17______ 18 19

Chunks:
  FalseNegative nam [1,1] = Irlandia

(ChunkerEvaluator) Sentence #485 from 00101770 from sent9

Text  : Może jednak te inwestycje stracić równie szybko , jak je zyskała ._
Tokens: 1___ 2_____ 3_ 4_________ 5______ 6_____ 7_____ 8 9__ 10 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #486 from 00101770 from sent10

Text  : Pytanie , czy jest silna na tyle , żeby poradzić sobie bez nich ._
Tokens: 1______ 2 3__ 4___ 5____ 6_ 7___ 8 9___ 10______ 11___ 12_ 13__ 14

Chunks:

(ChunkerEvaluator) Sentence #487 from 00101770 from sent11

Text  : I ten proces radzenia sobie bez korporacji , które wytwarzają większość B_ +_ R_ ,_ sporą część PKB i_ eksportu ,_ będzie chyba dla Polski najciekawszy ._
Tokens: 1 2__ 3_____ 4_______ 5____ 6__ 7_________ 8 9____ 10________ 11_______ 12 13 14 15 16___ 17___ 18_ 19 20______ 21 22____ 23___ 24_ 25____ 26__________ 27

Chunks:
  TruePositive nam [18,18] = PKB (confidence=0.83)
  TruePositive nam [25,25] = Polski (confidence=0.99)
  FalsePositive nam [12,14] = B + R (confidence=0.92) (incorrect boundry)

(ChunkerEvaluator) Sentence #488 from 00101770 from sent12

Text  : Chociaż na pewno nie uda się Polsce zdobyć aż tylu inwestycji -_ konkurencja jest dość duża -_ w_ samej Unii z_ Polską konkuruje co najmniej 8_ krajów (_ Czechy ,_ Słowacja ,_ Węgry ,_ Bułgaria ,_ Rumunia ,_ Litwa ,_ Łotwa ,_ Estonia )_ ._
Tokens: 1______ 2_ 3____ 4__ 5__ 6__ 7_____ 8_____ 9_ 10__ 11________ 12 13_________ 14__ 15__ 16__ 17 18 19___ 20__ 21 22____ 23_______ 24 25______ 26 27____ 28 29____ 30 31______ 32 33___ 34 35______ 36 37_____ 38 39___ 40 41___ 42 43_____ 44 45

Chunks:
  TruePositive nam [7,7] = Polsce (confidence=1.00)
  TruePositive nam [20,20] = Unii (confidence=0.99)
  TruePositive nam [22,22] = Polską (confidence=0.63)
  TruePositive nam [29,29] = Czechy (confidence=1.00)
  TruePositive nam [31,31] = Słowacja (confidence=1.00)
  TruePositive nam [33,33] = Węgry (confidence=1.00)
  TruePositive nam [35,35] = Bułgaria (confidence=1.00)
  TruePositive nam [37,37] = Rumunia (confidence=1.00)
  TruePositive nam [39,39] = Litwa (confidence=1.00)
  TruePositive nam [41,41] = Łotwa (confidence=1.00)
  TruePositive nam [43,43] = Estonia (confidence=1.00)

(ChunkerEvaluator) Sentence #489 from 00101770 from sent13

Text  : Finlandia startowała już w latach osiemdziesiątych z wysokiego pułapu (_ większy PKB per capita niż w_ Irlandii w_ latach dziewięćdziesiątych )_ ,_ więc miała kapitał niezbędny do inwestycji w_ edukację i_ tworzenie własnej gospodarki opartej na wiedzy bez pomocy zagranicznych inwestycji ._
Tokens: 1________ 2_________ 3__ 4 5_____ 6_______________ 7 8________ 9_____ 10 11_____ 12_ 13_ 14____ 15_ 16 17______ 18 19____ 20_________________ 21 22 23__ 24___ 25_____ 26_______ 27 28________ 29 30______ 31 32_______ 33_____ 34________ 35_____ 36 37____ 38_ 39____ 40___________ 41________ 42

Chunks:
  TruePositive nam [1,1] = Finlandia (confidence=0.51)
  TruePositive nam [12,12] = PKB (confidence=0.88)
  TruePositive nam [17,17] = Irlandii (confidence=1.00)

(ChunkerEvaluator) Sentence #490 from 00101770 from sent14

Text  : Ani Irlandia ( w 1990 ) , ani Polska (_ w_ 2000 )_ takiego kapitału nie miały ._
Tokens: 1__ 2_______ 3 4 5___ 6 7 8__ 9_____ 10 11 12__ 13 14_____ 15______ 16_ 17___ 18

Chunks:
  TruePositive nam [2,2] = Irlandia (confidence=0.99)
  TruePositive nam [9,9] = Polska (confidence=1.00)

(ChunkerEvaluator) Sentence #491 from 00101770 from sent15

Text  : Dlaczego nie porównuje się Polski z Arabią Saudyjską albo Norwegią ?_
Tokens: 1_______ 2__ 3________ 4__ 5_____ 6 7_____ 8________ 9___ 10______ 11

Chunks:
  TruePositive nam [5,5] = Polski (confidence=1.00)
  TruePositive nam [7,8] = Arabią Saudyjską (confidence=1.00)
  TruePositive nam [10,10] = Norwegią (confidence=0.98)

(ChunkerEvaluator) Sentence #492 from 00101770 from sent16

Text  : " Oni ropę mają " - każdy powie i utnie dyskusję ._
Tokens: 1 2__ 3___ 4___ 5 6 7____ 8____ 9 10___ 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #493 from 00101770 from sent17

Text  : Duży kapitał to równie ważny zasób , ale może trudniejszy do wyobrażenia ._
Tokens: 1___ 2______ 3_ 4_____ 5____ 6____ 7 8__ 9___ 10_________ 11 12_________ 13

Chunks:

(ChunkerEvaluator) Sentence #494 from 00101770 from sent18

Text  : No dobrze , ale czy to znaczy , że nie warto się starać ?_
Tokens: 1_ 2_____ 3 4__ 5__ 6_ 7_____ 8 9_ 10_ 11___ 12_ 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #495 from 00101770 from sent19

Text  : Warto .
Tokens: 1____ 2

Chunks:

(ChunkerEvaluator) Sentence #496 from 00101770 from sent20

Text  : Finlandia powinna być przykładem choćby na to , że lepiej czasem zaryzykować rozwój nowych technologii zamiast ładować fortuny w_ bezpieczne przetrwalniki (_ Krauze i_ Kulczyk -_ ropa ,_ Czarnecki -_ nieruchomości )_ ._
Tokens: 1________ 2______ 3__ 4_________ 5_____ 6_ 7_ 8 9_ 10____ 11____ 12_________ 13____ 14____ 15_________ 16_____ 17_____ 18_____ 19 20________ 21___________ 22 23____ 24 25_____ 26 27__ 28 29_______ 30 31___________ 32 33

Chunks:
  TruePositive nam [23,23] = Krauze (confidence=0.97)
  TruePositive nam [25,25] = Kulczyk (confidence=0.92)
  TruePositive nam [29,29] = Czarnecki (confidence=0.89)
  FalseNegative nam [1,1] = Finlandia

(ChunkerEvaluator) Sentence #497 from 00101770 from sent21

Text  : Jednocześnie jednak , jak widzę bezrefleksyjne porównywanie wskaźników makro Polski z_ Finlandią i_ Irlandią ,_ nóż mi się w_ kieszeni otwiera ._
Tokens: 1___________ 2_____ 3 4__ 5____ 6_____________ 7___________ 8_________ 9____ 10____ 11 12_______ 13 14______ 15 16_ 17 18_ 19 20______ 21_____ 22

Chunks:
  TruePositive nam [10,10] = Polski (confidence=1.00)
  TruePositive nam [12,12] = Finlandią (confidence=0.99)
  TruePositive nam [14,14] = Irlandią (confidence=1.00)

2017-06-14 20:02:41,863 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 30 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101852.xml
(ChunkerEvaluator) Sentence #498 from 00101852 from sent1

Text  : Gdyby m chciał , żeby moja córka wyrosła na geeka ,_ czytał by m_ jej do snu Cory ’_ ego Doctorowa ._
Tokens: 1____ 2 3_____ 4 5___ 6___ 7____ 8______ 9_ 10___ 11 12____ 13 14 15_ 16 17_ 18__ 19 20_ 21_______ 22

Chunks:
  TruePositive nam [18,21] = Cory ’ ego Doctorowa (confidence=1.00)

(ChunkerEvaluator) Sentence #499 from 00101852 from sent2

Text  : Ten niecały tydzień temu opublikował w Information Week nie jeden ,_ ale dwa świetne felietony -_ jeden o_ DRM na przykładzie amerykańskiej Broadcast Flag ,_ a_ drugi o_ amerykańskim przemyśle rozrywkowym ._
Tokens: 1__ 2______ 3______ 4___ 5__________ 6 7__________ 8___ 9__ 10___ 11 12_ 13_ 14_____ 15_______ 16 17___ 18 19_ 20 21_________ 22___________ 23_______ 24__ 25 26 27___ 28 29__________ 30_______ 31_________ 32

Chunks:
  TruePositive nam [7,8] = Information Week (confidence=1.00)
  TruePositive nam [19,19] = DRM (confidence=0.83)
  TruePositive nam [23,24] = Broadcast Flag (confidence=0.91)

(ChunkerEvaluator) Sentence #500 from 00101852 from sent3

Text  : I co gorsza wplata w techno - polityczną eseistykę zwroty całkiem poetyckie (_ których uroku nie oddaje w_ pełni robione na komputerowym kolanie tłumaczenie )_ ._
Tokens: 1 2_ 3_____ 4_____ 5 6_____ 7 8_________ 9________ 10____ 11_____ 12_______ 13 14_____ 15___ 16_ 17____ 18 19___ 20_____ 21 22__________ 23_____ 24_________ 25 26

Chunks:

(ChunkerEvaluator) Sentence #501 from 00101852 from sent4

Text  : “ Nikt nie wie tak naprawdę , czym jest ‘_ Ekonomia Informacyjna ’_ ._
Tokens: 1 2___ 3__ 4__ 5__ 6_______ 7 8___ 9___ 10 11______ 12__________ 13 14

Chunks:
  FalsePositive nam [11,12] = Ekonomia Informacyjna (confidence=0.90) (incorrect boundry)

(ChunkerEvaluator) Sentence #502 from 00101852 from sent5

Text  : Ale we wczesnych latach 90ych widzieli śmy , że nadchodzi ._
Tokens: 1__ 2_ 3________ 4_____ 5____ 6_______ 7__ 8 9_ 10_______ 11

Chunks:

(ChunkerEvaluator) Sentence #503 from 00101852 from sent6

Text  : Ameryka zaangażowała więc futurystów futurologów - swój najbardziej zawodny zasób strategiczny -_ by rozszyfrowali ,_ czym jest ‘_ ekonomia informacyjna ’_ i_ wymyslili ,_ jak zapewnić ,_ by Ameryka kontrolowała ‘_ nową ekonomię ’_ ._
Tokens: 1______ 2___________ 3___ 4_________ 5__________ 6 7___ 8__________ 9______ 10___ 11__________ 12 13 14___________ 15 16__ 17__ 18 19______ 20__________ 21 22 23_______ 24 25_ 26______ 27 28 29_____ 30__________ 31 32__ 33______ 34 35

Chunks:
  TruePositive nam [29,29] = Ameryka (confidence=0.94)
  FalseNegative nam [1,1] = Ameryka

(ChunkerEvaluator) Sentence #504 from 00101852 from sent7

Text  : Tworzymy przyszłość tak samo jak przeszłość .
Tokens: 1_______ 2_________ 3__ 4___ 5__ 6_________ 7

Chunks:

(ChunkerEvaluator) Sentence #505 from 00101852 from sent8

Text  : Splatamy razem wspomnienia na żądanie , wypełniając puste miejsca elementami teraźniejszości ,_ które w_ znacznym nadmiarze znajdują się wszędzie dookoła ”_ ._
Tokens: 1_______ 2____ 3__________ 4_ 5______ 6 7__________ 8____ 9______ 10________ 11_____________ 12 13___ 14 15______ 16_______ 17______ 18_ 19______ 20_____ 21 22

Chunks:

(ChunkerEvaluator) Sentence #506 from 00101852 from sent9

Text  : Tak to jest , jak się bloguje w biegu -_ dopiero teraz doczytał em do -_ jak się zdaje -_ gwoździa ,_ grande finale :_
Tokens: 1__ 2_ 3___ 4 5__ 6__ 7______ 8 9____ 10 11_____ 12___ 13______ 14 15 16 17_ 18_ 19___ 20 21______ 22 23____ 24____ 25

Chunks:

(ChunkerEvaluator) Sentence #507 from 00101852 from sent10

Text  : “ Futuryści mylili się srodze .
Tokens: 1 2________ 3_____ 4__ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #508 from 00101852 from sent11

Text  : ‘ Ekonomia informacyjna ’ nie może się opierać na sprzedaży informacji ._
Tokens: 1 2_______ 3___________ 4 5__ 6___ 7__ 8______ 9_ 10_______ 11________ 12

Chunks:

(ChunkerEvaluator) Sentence #509 from 00101852 from sent12

Text  : Dzięki technologiom informacyjnym kopiowanie informacji jest coraz prostsze .
Tokens: 1_____ 2___________ 3____________ 4_________ 5_________ 6___ 7____ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #510 from 00101852 from sent13

Text  : Im więcej takich technologii posiadasz , tym mniej będziesz miał kontroli nad bitami wysyłanymi w_ świat ._
Tokens: 1_ 2_____ 3_____ 4__________ 5________ 6 7__ 8____ 9_______ 10__ 11______ 12_ 13____ 14________ 15 16___ 17

Chunks:

(ChunkerEvaluator) Sentence #511 from 00101852 from sent14

Text  : Nigdy , ale to NIGDY nie będzie już trudniej kopiować informację ._
Tokens: 1____ 2 3__ 4_ 5____ 6__ 7_____ 8__ 9_______ 10______ 11________ 12

Chunks:

2017-06-14 20:02:41,927 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 31 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101868.xml
(ChunkerEvaluator) Sentence #512 from 00101868 from sent1

Text  : TUR Ozorków - Górnik Łęczyca , będzie to mecz derbowy ,_ który odbędzie się na stadionie przy ulicy Łęczyckiej ._
Tokens: 1__ 2______ 3 4_____ 5______ 6 7_____ 8_ 9___ 10_____ 11 12___ 13______ 14_ 15 16_______ 17__ 18___ 19________ 20

Chunks:
  TruePositive nam [1,2] = TUR Ozorków (confidence=0.63)
  TruePositive nam [4,5] = Górnik Łęczyca (confidence=0.85)
  TruePositive nam [19,19] = Łęczyckiej (confidence=0.99)

(ChunkerEvaluator) Sentence #513 from 00101868 from sent2

Text  : WSTĘP : 3zł ( przekazany na cele statutowe klubu ._ )_
Tokens: 1____ 2 3__ 4 5_________ 6_ 7___ 8________ 9____ 10 11

Chunks:

2017-06-14 20:02:41,937 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 32 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101949.xml
(ChunkerEvaluator) Sentence #514 from 00101949 from sent1

Text  : Dziennik Urzędowy Urzędu Ochrony Konkurencji i Konsumentów z 31 marca 2010 Nr 1_ poz ._ 4_
Tokens: 1_______ 2_______ 3_____ 4______ 5__________ 6 7__________ 8 9_ 10___ 11__ 12 13 14_ 15 16

Chunks:
  TruePositive nam [1,2] = Dziennik Urzędowy (confidence=0.98)
  TruePositive nam [3,7] = Urzędu Ochrony Konkurencji i Konsumentów (confidence=0.87)

(ChunkerEvaluator) Sentence #515 from 00101949 from sent2

Text  : z dnia 26 października 2009 r .
Tokens: 1 2___ 3_ 4___________ 5___ 6 7

Chunks:

(ChunkerEvaluator) Sentence #516 from 00101949 from sent3

Text  : w sprawie z odwołania Polskiej Telefonii Cyfrowej Sp . z_ o_ ._ o_ ._ w_ Warszawie przeciwko Prezesowi UOKiK
Tokens: 1 2______ 3 4________ 5_______ 6________ 7_______ 8_ 9 10 11 12 13 14 15 16_______ 17_______ 18_______ 19___

Chunks:
  TruePositive nam [5,14] = Polskiej Telefonii Cyfrowej Sp . z o . o . (confidence=0.98)
  TruePositive nam [16,16] = Warszawie (confidence=0.97)
  TruePositive nam [18,19] = Prezesowi UOKiK (confidence=0.84)

(ChunkerEvaluator) Sentence #517 from 00101949 from sent4

Text  : ( sygn . akt XVII Ama 68 / 08 )_
Tokens: 1 2___ 3 4__ 5___ 6__ 7_ 8 9_ 10

Chunks:

(ChunkerEvaluator) Sentence #518 from 00101949 from sent5

Text  : Sąd Okręgowy w Warszawie - Sąd Ochrony Konkurencji i Konsumentów po rozpoznaniu w_ dniu 26 października 2009 r_ ._ w_ Warszawie na rozprawie sprawy z_ odwołania Polskiej Telefonii Cyfrowej Sp ._ z_ o_ ._ o_ ._ z_ siedzibą w_ Warszawie przeciwko Prezesowi Urzędu Ochrony Konkurencji i_ Konsumentów o_ naruszenie zbiorowych interesów konsumentów na skutek odwołania Polskiej Telefonii Cyfrowej Sp ._ z_ o_ ._ o_ ._ z_ siedzibą w_ Warszawie od Decyzji Prezesa Urzędu Ochrony Konkurencji i_ Konsumentów z_ dnia 19 sierpnia 2008 r_ ._ ,_ Nr DDK -_ 14 /_ 2008 :_
Tokens: 1__ 2_______ 3 4________ 5 6__ 7______ 8__________ 9 10_________ 11 12_________ 13 14__ 15 16__________ 17__ 18 19 20 21_______ 22 23_______ 24____ 25 26_______ 27______ 28_______ 29______ 30 31 32 33 34 35 36 37 38______ 39 40_______ 41_______ 42_______ 43____ 44_____ 45_________ 46 47_________ 48 49________ 50________ 51_______ 52_________ 53 54____ 55_______ 56______ 57_______ 58______ 59 60 61 62 63 64 65 66 67______ 68 69_______ 70 71_____ 72_____ 73____ 74_____ 75_________ 76 77_________ 78 79__ 80 81______ 82__ 83 84 85 86 87_ 88 89 90 91__ 92

Chunks:
  TruePositive nam [1,2] = Sąd Okręgowy (confidence=0.99)
  TruePositive nam [4,4] = Warszawie (confidence=1.00)
  TruePositive nam [6,10] = Sąd Ochrony Konkurencji i Konsumentów (confidence=0.95)
  TruePositive nam [21,21] = Warszawie (confidence=1.00)
  TruePositive nam [40,40] = Warszawie (confidence=1.00)
  TruePositive nam [42,47] = Prezesowi Urzędu Ochrony Konkurencji i Konsumentów (confidence=1.00)
  TruePositive nam [69,69] = Warszawie (confidence=0.99)
  FalsePositive nam [27,38] = Polskiej Telefonii Cyfrowej Sp . z o . o . z siedzibą (confidence=0.87) (incorrect boundry)
  FalsePositive nam [56,67] = Polskiej Telefonii Cyfrowej Sp . z o . o . z siedzibą (confidence=0.99) (incorrect boundry)
  FalsePositive nam [71,77] = Decyzji Prezesa Urzędu Ochrony Konkurencji i Konsumentów (confidence=0.92) (incorrect boundry)
  FalsePositive nam [86,87] = Nr DDK (confidence=0.92) (incorrect boundry)
  FalseNegative nam [27,36] = Polskiej Telefonii Cyfrowej Sp . z o . o .
  FalseNegative nam [56,65] = Polskiej Telefonii Cyfrowej Sp . z o . o .
  FalseNegative nam [72,77] = Prezesa Urzędu Ochrony Konkurencji i Konsumentów

(ChunkerEvaluator) Sentence #519 from 00101949 from sent6

Text  : I . zmienia punkt 3 zaskarżonej decyzji w ten sposób ,_ że zmniejsza wysokość nałożonej kary pieniężnej do kwoty 400 ._ 000 zł (_ czterysta tysięcy złotych )_ ,_
Tokens: 1 2 3______ 4____ 5 6__________ 7______ 8 9__ 10____ 11 12 13_______ 14______ 15_______ 16__ 17________ 18 19___ 20_ 21 22_ 23 24 25_______ 26_____ 27_____ 28 29

Chunks:
  TruePositive nam [23,23] = zł (confidence=1.00)
  TruePositive nam [27,27] = złotych (confidence=1.00)

(ChunkerEvaluator) Sentence #520 from 00101949 from sent7

Text  : II .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #521 from 00101949 from sent8

Text  : oddala odwołanie w pozostałej części ,
Tokens: 1_____ 2________ 3 4_________ 5_____ 6

Chunks:

2017-06-14 20:02:41,993 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 33 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102054.xml
(ChunkerEvaluator) Sentence #522 from 00102054 from sent1

Text  : Oto oni : najlepsi wśród qmamowców , laureaci miesięcznego wyboru w_ konkursie "_ Qmam media "_ :_ Jooke ,_ Zszywka ,_ Szczepan ,_ Jestem ,_ LO MIX ,_ Szkolna Dżungla ._
Tokens: 1__ 2__ 3 4_______ 5____ 6________ 7 8_______ 9___________ 10____ 11 12_______ 13 14__ 15___ 16 17 18___ 19 20_____ 21 22______ 23 24____ 25 26 27_ 28 29_____ 30_____ 31

Chunks:
  TruePositive nam [14,15] = Qmam media (confidence=1.00)
  TruePositive nam [18,18] = Jooke (confidence=0.99)
  TruePositive nam [20,20] = Zszywka (confidence=1.00)
  TruePositive nam [22,22] = Szczepan (confidence=1.00)
  TruePositive nam [26,27] = LO MIX (confidence=1.00)
  TruePositive nam [29,30] = Szkolna Dżungla (confidence=1.00)
  FalseNegative nam [24,24] = Jestem

(ChunkerEvaluator) Sentence #523 from 00102054 from sent2

Text  : Tak , tak , wiemy . . .
Tokens: 1__ 2 3__ 4 5____ 6 7 8

Chunks:

(ChunkerEvaluator) Sentence #524 from 00102054 from sent3

Text  : Dali śmy trochę poczekać na ten werdykt .
Tokens: 1___ 2__ 3_____ 4_______ 5_ 6__ 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #525 from 00102054 from sent4

Text  : Nadrabiamy zaległości i odtąd co tydzień , do drugiej połowy lutego ogłaszać będziemy kolejnych laureatów miesięczny Konkursu ._
Tokens: 1_________ 2_________ 3 4____ 5_ 6______ 7 8_ 9______ 10____ 11____ 12______ 13______ 14_______ 15_______ 16________ 17______ 18

Chunks:
  FalsePositive nam [17,17] = Konkursu (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #526 from 00102054 from sent5

Text  : Z nagrodzonymi redakcjami skontaktujemy się mailowo , by ustalić szczegóły przekazania upominków Jury postanowiło przyznać wszystkie przewidziane regulaminem miejsca w_ ramach dwóch kategorii ._
Tokens: 1 2___________ 3_________ 4____________ 5__ 6______ 7 8_ 9______ 10_______ 11_________ 12_______ 13__ 14_________ 15______ 16_______ 17__________ 18_________ 19_____ 20 21____ 22___ 23_______ 24

Chunks:
  FalsePositive nam [13,13] = Jury (confidence=0.97) (incorrect boundry)

(ChunkerEvaluator) Sentence #527 from 00102054 from sent6

Text  : W kategorii qmama cyklicznego nagrodzono redakcje :
Tokens: 1 2________ 3____ 4__________ 5_________ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #528 from 00102054 from sent7

Text  : Jury przyznało nagrody w kategorii " qmama warsztatowego " 9_ /_ 2010 redakcjom qmamów :_ -_ Zespołu Szkół w_ Puchaczowie ._
Tokens: 1___ 2________ 3______ 4 5________ 6 7____ 8____________ 9 10 11 12__ 13_______ 14____ 15 16 17_____ 18___ 19 20_________ 21

Chunks:
  TruePositive nam [17,18] = Zespołu Szkół (confidence=1.00)
  TruePositive nam [20,20] = Puchaczowie (confidence=0.99)

(ChunkerEvaluator) Sentence #529 from 00102054 from sent8

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #530 from 00102054 from sent9

Text  : Zszywka - Gimnazjum w Wasilkowie .
Tokens: 1______ 2 3________ 4 5_________ 6

Chunks:
  TruePositive nam [1,1] = Zszywka (confidence=0.83)
  TruePositive nam [3,3] = Gimnazjum (confidence=0.91)
  TruePositive nam [5,5] = Wasilkowie (confidence=1.00)

(ChunkerEvaluator) Sentence #531 from 00102054 from sent10

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #532 from 00102054 from sent11

Text  : Szczepan - 6 Szczepu Harcerskiego , Hufiec ZHP Gniezno ._
Tokens: 1_______ 2 3 4______ 5___________ 6 7_____ 8__ 9______ 10

Chunks:
  TruePositive nam [1,1] = Szczepan (confidence=1.00)
  FalsePositive nam [4,5] = Szczepu Harcerskiego (confidence=0.82) (incorrect boundry)
  FalsePositive nam [7,7] = Hufiec (confidence=1.00) (incorrect boundry)
  FalsePositive nam [8,9] = ZHP Gniezno (confidence=0.69) (incorrect boundry)
  FalseNegative nam [3,5] = 6 Szczepu Harcerskiego
  FalseNegative nam [7,9] = Hufiec ZHP Gniezno

(ChunkerEvaluator) Sentence #533 from 00102054 from sent12

Text  : Jury przyznało nagrody w kategorii " qmama cyklicznego " 9_ /_ 2010 redakcjom qmamów :_
Tokens: 1___ 2________ 3______ 4 5________ 6 7____ 8__________ 9 10 11 12__ 13_______ 14____ 15

Chunks:

(ChunkerEvaluator) Sentence #534 from 00102054 from sent13

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #535 from 00102054 from sent14

Text  : Jestem - Stowarzyszenia " Jestem " z Torunia .
Tokens: 1_____ 2 3_____________ 4 5_____ 6 7 8______ 9

Chunks:
  TruePositive nam [8,8] = Torunia (confidence=1.00)
  FalsePositive nam [3,3] = Stowarzyszenia (confidence=0.73) (incorrect boundry)
  FalseNegative nam [1,1] = Jestem
  FalseNegative nam [3,6] = Stowarzyszenia " Jestem "

(ChunkerEvaluator) Sentence #536 from 00102054 from sent15

Text  : LO MIX - LO im . Władysława Orkana w Sadownem ._
Tokens: 1_ 2__ 3 4_ 5_ 6 7_________ 8_____ 9 10______ 11

Chunks:
  TruePositive nam [1,2] = LO MIX (confidence=0.92)
  TruePositive nam [4,8] = LO im . Władysława Orkana (confidence=0.56)
  TruePositive nam [10,10] = Sadownem (confidence=1.00)

(ChunkerEvaluator) Sentence #537 from 00102054 from sent16

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #538 from 00102054 from sent17

Text  : Szkolna Dżungla - Zespołu Szkół Ponadgimnazjalnych w Drezdenku .
Tokens: 1______ 2______ 3 4______ 5____ 6_________________ 7 8________ 9

Chunks:
  TruePositive nam [1,2] = Szkolna Dżungla (confidence=0.99)
  TruePositive nam [4,6] = Zespołu Szkół Ponadgimnazjalnych (confidence=1.00)
  TruePositive nam [8,8] = Drezdenku (confidence=0.97)

(ChunkerEvaluator) Sentence #539 from 00102054 from sent18

Text  : Laureatom serdecznie gratulujemy !
Tokens: 1________ 2_________ 3__________ 4

Chunks:

(ChunkerEvaluator) Sentence #540 from 00102054 from sent19

Text  : Już za tydzień kolejne dobre wiadomości .
Tokens: 1__ 2_ 3______ 4______ 5____ 6_________ 7

Chunks:

(ChunkerEvaluator) Sentence #541 from 00102054 from sent20

Text  : Zaglądajcie na naszą stronę .
Tokens: 1__________ 2_ 3____ 4_____ 5

Chunks:

2017-06-14 20:02:42,047 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 34 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102109.xml
(ChunkerEvaluator) Sentence #542 from 00102109 from sent1

Text  : Kolejna decyzja , którą trzeba podjąć wybierając model , uzależniona jest od rodzaju nawierzchni po której będziemy jeździć ._
Tokens: 1______ 2______ 3 4____ 5_____ 6_____ 7_________ 8____ 9 10_________ 11__ 12 13_____ 14_________ 15 16____ 17______ 18_____ 19

Chunks:

(ChunkerEvaluator) Sentence #543 from 00102109 from sent2

Text  : Musimy wybrać między modelem on - road ( torowym )_ i_ off -_ road (_ terenowym )_ ._
Tokens: 1_____ 2_____ 3_____ 4______ 5_ 6 7___ 8 9______ 10 11 12_ 13 14__ 15 16_______ 17 18

Chunks:

(ChunkerEvaluator) Sentence #544 from 00102109 from sent3

Text  : Trzeba podkreślić , że modele on - road wymagają raczej gładkiej nawierzchni -_ wykładziny lub asfaltu ._
Tokens: 1_____ 2_________ 3 4_ 5_____ 6_ 7 8___ 9_______ 10____ 11______ 12_________ 13 14________ 15_ 16_____ 17

Chunks:

(ChunkerEvaluator) Sentence #545 from 00102109 from sent4

Text  : Może to być parking przed sklepem lub alejki w parku ,_ ale już placyk z_ kruszących się ,_ betonowych płyt nie sprawdzi się jako nawierzchnia dla modeli torowych ._
Tokens: 1___ 2_ 3__ 4______ 5____ 6______ 7__ 8_____ 9 10___ 11 12_ 13_ 14____ 15 16________ 17_ 18 19________ 20__ 21_ 22______ 23_ 24__ 25__________ 26_ 27____ 28______ 29

Chunks:

(ChunkerEvaluator) Sentence #546 from 00102109 from sent5

Text  : Modele terenowe poradzą sobie bez problemu na każdej nawierzchni ,_ ale nie są tak precyzyjne w_ prowadzeniu jak modele torowe ,_ oraz osiągają nieco mniejsze prędkości
Tokens: 1_____ 2_______ 3______ 4____ 5__ 6_______ 7_ 8_____ 9__________ 10 11_ 12_ 13 14_ 15________ 16 17_________ 18_ 19____ 20____ 21 22__ 23______ 24___ 25______ 26_______

Chunks:

(ChunkerEvaluator) Sentence #547 from 00102109 from sent6

Text  : Po ustaleniu podstawowych preferencji , czas zapoznać się z najbardziej popularnymi klasami modeli ,_ żeby móc sprecyzować odpowiedź na pytanie ,_ jaki model wybrać ._
Tokens: 1_ 2________ 3___________ 4__________ 5 6___ 7_______ 8__ 9 10_________ 11_________ 12_____ 13____ 14 15__ 16_ 17_________ 18_______ 19 20_____ 21 22__ 23___ 24____ 25

Chunks:

2017-06-14 20:02:42,085 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 35 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102141.xml
(ChunkerEvaluator) Sentence #548 from 00102141 from sent1

Text  : Beskidy zbudowane są z fliszu .
Tokens: 1______ 2________ 3_ 4 5_____ 6

Chunks:
  FalseNegative nam [1,1] = Beskidy

(ChunkerEvaluator) Sentence #549 from 00102141 from sent2

Text  : Flisz powstał w głębokim zbiorniku morskim , a sa to naprzemianlegle ułożone skały :_ zlepieńce ,_ łupki ilaste ,_ piaskowce i_ margle ._
Tokens: 1____ 2______ 3 4_______ 5________ 6______ 7 8 9_ 10 11_____________ 12_____ 13___ 14 15_______ 16 17___ 18____ 19 20_______ 21 22____ 23

Chunks:

(ChunkerEvaluator) Sentence #550 from 00102141 from sent3

Text  : Po osadzeniu się skał fliszowych nastąpiło fałdowanie osadów .
Tokens: 1_ 2________ 3__ 4___ 5_________ 6________ 7_________ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #551 from 00102141 from sent4

Text  : Najwyższe pasma Beskidów / Beskid Makowski , Beskid Żywiecki ,_ Gorce ,_ Beskid Sądecki /_ są zbudowane ze skał fliszowych ,_ w_ których znaczny jest udział piaskowców ,_ ponieważ są to skały bardzo odporne ._
Tokens: 1________ 2____ 3_______ 4 5_____ 6_______ 7 8_____ 9_______ 10 11___ 12 13____ 14_____ 15 16 17_______ 18 19__ 20________ 21 22 23_____ 24_____ 25__ 26____ 27________ 28 29______ 30 31 32___ 33____ 34_____ 35

Chunks:
  TruePositive nam [3,3] = Beskidów (confidence=1.00)
  TruePositive nam [5,6] = Beskid Makowski (confidence=0.96)
  TruePositive nam [8,9] = Beskid Żywiecki (confidence=1.00)
  TruePositive nam [11,11] = Gorce (confidence=1.00)
  TruePositive nam [13,14] = Beskid Sądecki (confidence=1.00)

(ChunkerEvaluator) Sentence #552 from 00102141 from sent5

Text  : W miejscach , w których dużo materii organicznej zostało przysypanej osadami powstały złoża ropy naftowej i_ gazu ziemnego ._
Tokens: 1 2________ 3 4 5______ 6___ 7______ 8__________ 9______ 10_________ 11_____ 12______ 13___ 14__ 15______ 16 17__ 18______ 19

Chunks:

(ChunkerEvaluator) Sentence #553 from 00102141 from sent6

Text  : Kotlina Jasielsko - Krośnieńska i Pogórze Jasielski są to najstarsze w_ Polsce rejony wydobycia tych surowców ._
Tokens: 1______ 2________ 3 4__________ 5 6______ 7________ 8_ 9_ 10________ 11 12____ 13____ 14_______ 15__ 16______ 17

Chunks:
  TruePositive nam [1,4] = Kotlina Jasielsko - Krośnieńska (confidence=0.92)
  TruePositive nam [6,7] = Pogórze Jasielski (confidence=0.99)
  TruePositive nam [12,12] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #554 from 00102141 from sent7

Text  : Przez ponad 100 lat eksploatacji ropa naftowa i gaz ziemny uległy wyczerpaniu ._
Tokens: 1____ 2____ 3__ 4__ 5___________ 6___ 7______ 8 9__ 10____ 11____ 12_________ 13

Chunks:

(ChunkerEvaluator) Sentence #555 from 00102141 from sent8

Text  : W Bóbrce koło Krosna Ignacy Łukasiewicz zbudował pierwszy szyb naftowy ,_ dokonał destylacji ropy naftowej i_ wydzielił z_ niej naftę ._
Tokens: 1 2_____ 3___ 4_____ 5_____ 6__________ 7_______ 8_______ 9___ 10_____ 11 12_____ 13________ 14__ 15______ 16 17_______ 18 19__ 20___ 21

Chunks:
  TruePositive nam [2,2] = Bóbrce (confidence=1.00)
  TruePositive nam [4,4] = Krosna (confidence=0.99)
  TruePositive nam [5,6] = Ignacy Łukasiewicz (confidence=0.81)

(ChunkerEvaluator) Sentence #556 from 00102141 from sent9

Text  : W 1853 r . Ignacy Łukasiewicz skonstruował pierwszą lampę naftową ._
Tokens: 1 2___ 3 4 5_____ 6__________ 7___________ 8_______ 9____ 10_____ 11

Chunks:
  TruePositive nam [5,6] = Ignacy Łukasiewicz (confidence=1.00)

(ChunkerEvaluator) Sentence #557 from 00102141 from sent10

Text  : Dziś w Bóbrce znajduje się skansen przemysłu wydobywczego .
Tokens: 1___ 2 3_____ 4_______ 5__ 6______ 7________ 8___________ 9

Chunks:
  TruePositive nam [3,3] = Bóbrce (confidence=0.99)

(ChunkerEvaluator) Sentence #558 from 00102141 from sent11

Text  : Beskid Sądecki charakteryzuje się bogactwem źródeł mineralnych .
Tokens: 1_____ 2______ 3_____________ 4__ 5________ 6_____ 7__________ 8

Chunks:
  TruePositive nam [1,2] = Beskid Sądecki (confidence=1.00)

(ChunkerEvaluator) Sentence #559 from 00102141 from sent12

Text  : Powstały tu uzdrowiska : Krynica Zdrój , Muszyna , Żegiestów Zdrój i_ Piwniczna ._
Tokens: 1_______ 2_ 3_________ 4 5______ 6____ 7 8______ 9 10_______ 11___ 12 13_______ 14

Chunks:
  TruePositive nam [5,6] = Krynica Zdrój (confidence=1.00)
  TruePositive nam [8,8] = Muszyna (confidence=1.00)
  TruePositive nam [10,11] = Żegiestów Zdrój (confidence=1.00)
  TruePositive nam [13,13] = Piwniczna (confidence=0.98)

(ChunkerEvaluator) Sentence #560 from 00102141 from sent13

Text  : Pieniny
Tokens: 1______

Chunks:
  FalseNegative nam [1,1] = Pieniny

(ChunkerEvaluator) Sentence #561 from 00102141 from sent14

Text  : Jest to wapienny pas skałkowy o długości około 30 km ,_ podzielony przez przełomy Dunajca na trzy części ._
Tokens: 1___ 2_ 3_______ 4__ 5_______ 6 7_______ 8____ 9_ 10 11 12________ 13___ 14______ 15_____ 16 17__ 18____ 19

Chunks:
  TruePositive nam [15,15] = Dunajca (confidence=0.87)

(ChunkerEvaluator) Sentence #562 from 00102141 from sent15

Text  : Pasmo Pienin ma od 2 do 6 km szerokości ._
Tokens: 1____ 2_____ 3_ 4_ 5 6_ 7 8_ 9_________ 10

Chunks:
  TruePositive nam [2,2] = Pienin (confidence=0.88)

(ChunkerEvaluator) Sentence #563 from 00102141 from sent16

Text  : Najbardziej znanym szczytem Pienin są Trzy Korony / 982 m_ n_ ._ p_ ._ m_ ._ /_ ,_ jednak najwyższym szczytem są Wysokie Skałki /_ 1052 m_ n_ ._ p_ ._ m_ ._ /_ ._
Tokens: 1__________ 2_____ 3_______ 4_____ 5_ 6___ 7_____ 8 9__ 10 11 12 13 14 15 16 17 18 19____ 20________ 21______ 22 23_____ 24____ 25 26__ 27 28 29 30 31 32 33 34 35

Chunks:
  TruePositive nam [4,4] = Pienin (confidence=0.99)
  TruePositive nam [6,7] = Trzy Korony (confidence=0.52)
  FalsePositive nam [24,24] = Skałki (confidence=0.64) (incorrect boundry)
  FalseNegative nam [23,24] = Wysokie Skałki

(ChunkerEvaluator) Sentence #564 from 00102141 from sent17

Text  : Do głównych atrakcji w Pieninach należy spływ tratwami po Dunajcu ze Sromowiec Niżnych do Szczawnicy ._
Tokens: 1_ 2_______ 3_______ 4 5________ 6_____ 7____ 8_______ 9_ 10_____ 11 12_______ 13_____ 14 15________ 16

Chunks:
  TruePositive nam [5,5] = Pieninach (confidence=0.99)
  TruePositive nam [10,10] = Dunajcu (confidence=0.89)
  TruePositive nam [12,13] = Sromowiec Niżnych (confidence=0.97)
  TruePositive nam [15,15] = Szczawnicy (confidence=0.98)

(ChunkerEvaluator) Sentence #565 from 00102141 from sent18

Text  : W Szczawnicy i Krościenku są wody mineralne zakwaszone dwutlenkiem węgla /_ szczawy /_ ._
Tokens: 1 2_________ 3 4_________ 5_ 6___ 7________ 8_________ 9__________ 10___ 11 12_____ 13 14

Chunks:
  TruePositive nam [2,2] = Szczawnicy (confidence=0.99)
  TruePositive nam [4,4] = Krościenku (confidence=0.99)

(ChunkerEvaluator) Sentence #566 from 00102141 from sent19

Text  : Wiele kontrowersji budziła budowa zapory wodnej w Niedzicy i zbiornika wyrównawczegow Sromowcach Wyżnich ._
Tokens: 1____ 2___________ 3______ 4_____ 5_____ 6_____ 7 8_______ 9 10_______ 11____________ 12________ 13_____ 14

Chunks:
  TruePositive nam [8,8] = Niedzicy (confidence=0.99)
  TruePositive nam [12,13] = Sromowcach Wyżnich (confidence=0.99)

(ChunkerEvaluator) Sentence #567 from 00102141 from sent20

Text  : W Niedzicy warto zwiedzić dobrze zachowany zamek , a w_ Czorsztynie -_ tylko ruiny ._
Tokens: 1 2_______ 3____ 4_______ 5_____ 6________ 7____ 8 9 10 11_________ 12 13___ 14___ 15

Chunks:
  TruePositive nam [2,2] = Niedzicy (confidence=0.75)
  TruePositive nam [11,11] = Czorsztynie (confidence=0.96)

(ChunkerEvaluator) Sentence #568 from 00102141 from sent21

Text  : Tatry są najwyższym pasmem w Karpatach , przełęcz Liliowe dzieli Tatry na część wschodnią i_ zachodnią ._
Tokens: 1____ 2_ 3_________ 4_____ 5 6________ 7 8_______ 9______ 10____ 11___ 12 13___ 14_______ 15 16_______ 17

Chunks:
  TruePositive nam [6,6] = Karpatach (confidence=1.00)
  TruePositive nam [11,11] = Tatry (confidence=0.82)
  FalsePositive nam [9,9] = Liliowe (confidence=1.00) (incorrect boundry)
  FalseNegative nam [1,1] = Tatry
  FalseNegative nam [8,9] = przełęcz Liliowe

(ChunkerEvaluator) Sentence #569 from 00102141 from sent22

Text  : Tatry Wschodnie są zbudowane z granitu , sa wyższe od Tatr Zachodnich ._
Tokens: 1____ 2________ 3_ 4________ 5 6______ 7 8_ 9_____ 10 11__ 12________ 13

Chunks:
  TruePositive nam [1,2] = Tatry Wschodnie (confidence=0.83)
  TruePositive nam [11,12] = Tatr Zachodnich (confidence=0.99)

(ChunkerEvaluator) Sentence #570 from 00102141 from sent23

Text  : W polskich Tatrach Wysokich znajduje się 12 stawów / jezior polodowcowych /_ o_ powierzchni powyżej 1_ ha ,_ najbardziej znane to :_ Morskie Oko ,_ Czarny Staw ,_ Wielki Staw ,_ Czarny Staw Gąsiennicowy ._
Tokens: 1 2_______ 3______ 4_______ 5_______ 6__ 7_ 8_____ 9 10____ 11___________ 12 13 14_________ 15_____ 16 17 18 19_________ 20___ 21 22 23_____ 24_ 25 26____ 27__ 28 29____ 30__ 31 32____ 33__ 34__________ 35

Chunks:
  TruePositive nam [3,4] = Tatrach Wysokich (confidence=1.00)
  TruePositive nam [23,24] = Morskie Oko (confidence=1.00)
  TruePositive nam [26,27] = Czarny Staw (confidence=1.00)
  TruePositive nam [29,30] = Wielki Staw (confidence=1.00)
  TruePositive nam [32,34] = Czarny Staw Gąsiennicowy (confidence=0.98)

(ChunkerEvaluator) Sentence #571 from 00102141 from sent24

Text  : W Tatrach Wschodnich zachował się krajobraz polodowcowy wysokogórski .
Tokens: 1 2______ 3_________ 4_______ 5__ 6________ 7__________ 8___________ 9

Chunks:
  TruePositive nam [2,3] = Tatrach Wschodnich (confidence=1.00)

(ChunkerEvaluator) Sentence #572 from 00102141 from sent25

Text  : Tworzą go jeziora polodowcowe , kotły , U - kształtne doliny ,_ żleby i_ stożki piargowe ._
Tokens: 1_____ 2_ 3______ 4__________ 5 6____ 7 8 9 10_______ 11____ 12 13___ 14 15____ 16______ 17

Chunks:

(ChunkerEvaluator) Sentence #573 from 00102141 from sent26

Text  : Tatry Zachodnie są niższe , zbudowane ze skał wapiennych ,_ występuje tu wiele form krasowych podziemnych /_ stalaktyty ,_ stalagmity ,_ korytarze w_ Jaskini Mroźnej ,_ Zimnej lub Lodowej /_ oraz powierzchniowych ._
Tokens: 1____ 2________ 3_ 4_____ 5 6________ 7_ 8___ 9_________ 10 11_______ 12 13___ 14__ 15_______ 16_________ 17 18________ 19 20________ 21 22_______ 23 24_____ 25_____ 26 27____ 28_ 29_____ 30 31__ 32______________ 33

Chunks:
  TruePositive nam [1,2] = Tatry Zachodnie (confidence=0.94)
  TruePositive nam [24,25] = Jaskini Mroźnej (confidence=1.00)
  TruePositive nam [27,27] = Zimnej (confidence=0.84)
  TruePositive nam [29,29] = Lodowej (confidence=0.78)

(ChunkerEvaluator) Sentence #574 from 00102141 from sent27

Text  : Biesczady sa to równolegle do siebie ułożone grzbiety o stromych stokach ,_ pooddzielane szerokimi obniżeniami ._
Tokens: 1________ 2_ 3_ 4_________ 5_ 6_____ 7______ 8_______ 9 10______ 11_____ 12 13__________ 14_______ 15_________ 16

Chunks:
  FalseNegative nam [1,1] = Biesczady

(ChunkerEvaluator) Sentence #575 from 00102141 from sent28

Text  : Cechą charakterystyczną Bieszczadów jest niskie położenie górnej granicy lasu /_ na wysokości około 1200 m_ n_ ._ p_ ._ m_ ._ /_ oraz brak piętra boru świerkowego ._
Tokens: 1____ 2________________ 3__________ 4___ 5_____ 6________ 7_____ 8______ 9___ 10 11 12_______ 13___ 14__ 15 16 17 18 19 20 21 22 23__ 24__ 25____ 26__ 27_________ 28

Chunks:
  TruePositive nam [3,3] = Bieszczadów (confidence=0.99)

(ChunkerEvaluator) Sentence #576 from 00102141 from sent29

Text  : Ponad górną granica lasu występują już tylko łąki górskie zwane połoninami ._
Tokens: 1____ 2____ 3______ 4___ 5________ 6__ 7____ 8___ 9______ 10___ 11________ 12

Chunks:

2017-06-14 20:02:42,420 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 36 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102166.xml
(ChunkerEvaluator) Sentence #577 from 00102166 from sent1

Text  : Centrum Zarządzania Kryzysowego Urzędu Miejskiego Wrocławia informuje :
Tokens: 1______ 2__________ 3__________ 4_____ 5_________ 6________ 7________ 8

Chunks:
  FalsePositive nam [1,6] = Centrum Zarządzania Kryzysowego Urzędu Miejskiego Wrocławia (confidence=0.96) (incorrect boundry)
  FalseNegative nam [1,3] = Centrum Zarządzania Kryzysowego
  FalseNegative nam [4,6] = Urzędu Miejskiego Wrocławia

(ChunkerEvaluator) Sentence #578 from 00102166 from sent2

Text  : na podstawie ostrzeżenia BIURA PROGNOZ METEOROLOGICZNYCH IMGW we Wrocławiu ,_ na obszarze miasta i_ województwa dolnośląskiego przewiduje się od godz ._ 8_ ._ 00 dnia 24 ._ 08 ._ 2011 –_ do godz 22 ._ 00 dnia 28 ._ 08 ._ 2011 r_ ._ wzrost temperatury maksymalnej powietrza do 29 -_ 32 st ._ C_ ._ Temperatura minimalna w_ nocy wyniesie od 14 do 18 st ._ C_ ._ Utrzymująca się wysoka temperatura może powodować :_
Tokens: 1_ 2________ 3__________ 4____ 5______ 6________________ 7___ 8_ 9________ 10 11 12______ 13____ 14 15_________ 16____________ 17________ 18_ 19 20__ 21 22 23 24 25__ 26 27 28 29 30__ 31 32 33__ 34 35 36 37__ 38 39 40 41 42__ 43 44 45____ 46_________ 47_________ 48_______ 49 50 51 52 53 54 55 56 57_________ 58_______ 59 60__ 61______ 62 63 64 65 66 67 68 69 70_________ 71_ 72____ 73_________ 74__ 75_______ 76

Chunks:
  TruePositive nam [9,9] = Wrocławiu (confidence=1.00)
  TruePositive nam [16,16] = dolnośląskiego (confidence=0.93)
  FalsePositive nam [4,7] = BIURA PROGNOZ METEOROLOGICZNYCH IMGW (confidence=1.00) (incorrect boundry)
  FalsePositive nam [55,57] = C . Temperatura (confidence=0.93) (incorrect boundry)
  FalsePositive nam [68,68] = C (confidence=0.77) (incorrect boundry)
  FalseNegative nam [4,6] = BIURA PROGNOZ METEOROLOGICZNYCH
  FalseNegative nam [7,7] = IMGW

(ChunkerEvaluator) Sentence #579 from 00102166 from sent3

Text  : * nasilenie chorób meteotropowych ( objawy meteotropowe to zarówno gorsze samopoczucie i_ obniżona sprawność ,_ jak i_ różnego rodzaju bóle ,_ np ._ głowy ._ )_
Tokens: 1 2________ 3_____ 4_____________ 5 6_____ 7___________ 8_ 9______ 10____ 11__________ 12 13______ 14_______ 15 16_ 17 18_____ 19_____ 20__ 21 22 23 24___ 25 26

Chunks:

(ChunkerEvaluator) Sentence #580 from 00102166 from sent4

Text  : * zaostrzenie chorób układu krążenia .
Tokens: 1 2__________ 3_____ 4_____ 5_______ 6

Chunks:

(ChunkerEvaluator) Sentence #581 from 00102166 from sent5

Text  : W związku z powyższym zaleca się szczególnie osobom starszym spożywania większej ilości płynów oraz nie wychodzenie z_ pomieszczeń bez nakrycia głowy ._
Tokens: 1 2______ 3 4________ 5_____ 6__ 7__________ 8_____ 9_______ 10________ 11______ 12____ 13____ 14__ 15_ 16_________ 17 18_________ 19_ 20______ 21___ 22

Chunks:

(ChunkerEvaluator) Sentence #582 from 00102166 from sent6

Text  : Jednocześnie IMGW ostrzega że od godz . 08 : 00 dnia 27 ._ 08 ._ 2011 do godz ._ 08 :_ 00 dnia 28 ._ 08 ._ 2011 możliwe jest wystąpienie burz ,_ lokalnie z_ opadami gradu ,_ podczas których opady deszczu wyniosą od 10 do 20 mm ,_ lokalnie w_ silnych opadach burzowych od 30 do 55 mm ,_ a_ wiatr osiągnie w_ porywach do 80 km /_ h_ ._
Tokens: 1___________ 2___ 3_______ 4_ 5_ 6___ 7 8_ 9 10 11__ 12 13 14 15 16__ 17 18__ 19 20 21 22 23__ 24 25 26 27 28__ 29_____ 30__ 31_________ 32__ 33 34______ 35 36_____ 37___ 38 39_____ 40_____ 41___ 42_____ 43_____ 44 45 46 47 48 49 50______ 51 52_____ 53_____ 54_______ 55 56 57 58 59 60 61 62___ 63______ 64 65______ 66 67 68 69 70 71

Chunks:
  TruePositive nam [2,2] = IMGW (confidence=0.94)

2017-06-14 20:02:42,478 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 37 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102354.xml
(ChunkerEvaluator) Sentence #583 from 00102354 from sent1

Text  : Krajowa Rada Radiofonii i Telewizji wybrała w środę radę nadzorczą Polskiego Radia ._
Tokens: 1______ 2___ 3_________ 4 5________ 6______ 7 8____ 9___ 10_______ 11_______ 12___ 13

Chunks:
  FalsePositive nam [1,3] = Krajowa Rada Radiofonii (confidence=0.65) (incorrect boundry)
  FalsePositive nam [5,5] = Telewizji (confidence=0.82) (incorrect boundry)
  FalsePositive nam [11,12] = Polskiego Radia (confidence=1.00) (incorrect boundry)
  FalseNegative nam [1,5] = Krajowa Rada Radiofonii i Telewizji
  FalseNegative nam [9,12] = radę nadzorczą Polskiego Radia

(ChunkerEvaluator) Sentence #584 from 00102354 from sent2

Text  : Większość ma PiS , ale musiało miejscami podzielić się z_ LPR i_ Samoobroną ,_ informuje "_ Gazeta Wyborcza "_ ._
Tokens: 1________ 2_ 3__ 4 5__ 6______ 7________ 8________ 9__ 10 11_ 12 13________ 14 15_______ 16 17____ 18______ 19 20

Chunks:
  TruePositive nam [3,3] = PiS (confidence=1.00)
  TruePositive nam [11,11] = LPR (confidence=0.96)
  TruePositive nam [13,13] = Samoobroną (confidence=0.99)
  TruePositive nam [17,18] = Gazeta Wyborcza (confidence=1.00)

(ChunkerEvaluator) Sentence #585 from 00102354 from sent3

Text  : Jak czytamy w " Gazecie " , PiS w dziewięcioosobowej radzie nadzorczej będzie miało pięciu przedstawicieli ,_ LPR i_ Samoobrona po dwóch ._
Tokens: 1__ 2______ 3 4 5______ 6 7 8__ 9 10________________ 11____ 12________ 13____ 14___ 15____ 16_____________ 17 18_ 19 20________ 21 22___ 23

Chunks:
  TruePositive nam [5,5] = Gazecie (confidence=0.65)
  TruePositive nam [8,8] = PiS (confidence=1.00)
  TruePositive nam [18,18] = LPR (confidence=0.96)
  TruePositive nam [20,20] = Samoobrona (confidence=0.97)

(ChunkerEvaluator) Sentence #586 from 00102354 from sent4

Text  : Jak powiedział " Wyborczej " Lech Jaworski , były członek KRRiT ,_ a_ dziś prezes fundacji Media Pro Bono ,_ do tej pory zawsze ,_ niezależnie od tego ,_ kto rządził ,_ KRRiT wybierała przedstawicieli opozycji do rad nadzorczych mediów publicznych ._
Tokens: 1__ 2_________ 3 4________ 5 6___ 7_______ 8 9___ 10_____ 11___ 12 13 14__ 15____ 16______ 17___ 18_ 19__ 20 21 22_ 23__ 24____ 25 26_________ 27 28__ 29 30_ 31_____ 32 33___ 34_______ 35_____________ 36______ 37 38_ 39_________ 40____ 41_________ 42

Chunks:
  TruePositive nam [4,4] = Wyborczej (confidence=0.71)
  TruePositive nam [6,7] = Lech Jaworski (confidence=0.96)
  TruePositive nam [11,11] = KRRiT (confidence=0.87)
  TruePositive nam [17,19] = Media Pro Bono (confidence=0.99)
  TruePositive nam [33,33] = KRRiT (confidence=0.91)

(ChunkerEvaluator) Sentence #587 from 00102354 from sent5

Text  : Jaworski przyznaje , że byli oni w mniejszości , ale mogli patrzeć rządzącym na ręce ._
Tokens: 1_______ 2________ 3 4_ 5___ 6__ 7 8__________ 9 10_ 11___ 12_____ 13_______ 14 15__ 16

Chunks:
  TruePositive nam [1,1] = Jaworski (confidence=0.69)

(ChunkerEvaluator) Sentence #588 from 00102354 from sent6

Text  : Tym razem nie ma nikogo .
Tokens: 1__ 2____ 3__ 4_ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #589 from 00102354 from sent7

Text  : Co na to Jarosław Sellin , także były członek KKRiT a_ obecnie wiceminister kultury ,_ który wcześniej zapewniał ,_ iż Prawo i_ Sprawiedliwość zmieni ,_ to co było do tej pory ,_ czyli rady nadzorcze ,_ które "_ zawsze służyły do dzielenia parytetów partyjnych i_ sfer wpływów "_ ._
Tokens: 1_ 2_ 3_ 4_______ 5_____ 6 7____ 8___ 9______ 10___ 11 12_____ 13__________ 14_____ 15 16___ 17_______ 18_______ 19 20 21___ 22 23____________ 24____ 25 26 27 28__ 29 30_ 31__ 32 33___ 34__ 35_______ 36 37___ 38 39____ 40_____ 41 42_______ 43_______ 44________ 45 46__ 47_____ 48 49

Chunks:
  TruePositive nam [4,5] = Jarosław Sellin (confidence=1.00)
  TruePositive nam [10,10] = KKRiT (confidence=0.98)
  TruePositive nam [21,23] = Prawo i Sprawiedliwość (confidence=1.00)

(ChunkerEvaluator) Sentence #590 from 00102354 from sent8

Text  : O nowej radzie Polskiego Radia nie chciał rozmawiać z "_ Gazetą "_ ._
Tokens: 1 2____ 3_____ 4________ 5____ 6__ 7_____ 8________ 9 10 11____ 12 13

Chunks:
  TruePositive nam [4,5] = Polskiego Radia (confidence=1.00)
  TruePositive nam [11,11] = Gazetą (confidence=0.82)

(ChunkerEvaluator) Sentence #591 from 00102354 from sent9

Text  : Jak podaje " Gazeta " , z rekomendacji PiS do rady nadzorczej Polskiego Radia weszli :_ Mirosława Bielecka ,_ dziennikarka i_ wieloletnia prezes Radia Kielce ;_ Jacek Kiczek ,_ dziennikarz ,_ sekretarz zarządu podkarpackiego PiS ;_ Irena Kleniewska ,_ radna Warszawy ;_ bez sukcesu kandydowała w_ wyborach do Sejmu z_ list PiS ;_ Mariusz Siembida ,_ dyrektor ds ._ kadr i_ administracji w_ polskiej filii niemieckiego koncernu Passauer –_ Polskapresse oddział Prasa Śląska ._
Tokens: 1__ 2_____ 3 4_____ 5 6 7 8___________ 9__ 10 11__ 12________ 13_______ 14___ 15____ 16 17_______ 18______ 19 20__________ 21 22_________ 23____ 24___ 25____ 26 27___ 28____ 29 30_________ 31 32_______ 33_____ 34____________ 35_ 36 37___ 38________ 39 40___ 41______ 42 43_ 44_____ 45_________ 46 47______ 48 49___ 50 51__ 52_ 53 54_____ 55______ 56 57______ 58 59 60__ 61 62___________ 63 64______ 65___ 66__________ 67______ 68______ 69 70__________ 71_____ 72___ 73____ 74

Chunks:
  TruePositive nam [4,4] = Gazeta (confidence=0.96)
  TruePositive nam [9,9] = PiS (confidence=1.00)
  TruePositive nam [17,18] = Mirosława Bielecka (confidence=0.99)
  TruePositive nam [24,25] = Radia Kielce (confidence=1.00)
  TruePositive nam [27,28] = Jacek Kiczek (confidence=1.00)
  TruePositive nam [35,35] = PiS (confidence=1.00)
  TruePositive nam [37,38] = Irena Kleniewska (confidence=1.00)
  TruePositive nam [41,41] = Warszawy (confidence=0.91)
  TruePositive nam [49,49] = Sejmu (confidence=1.00)
  TruePositive nam [52,52] = PiS (confidence=1.00)
  TruePositive nam [54,55] = Mariusz Siembida (confidence=1.00)
  TruePositive nam [72,73] = Prasa Śląska (confidence=0.97)
  FalsePositive nam [13,14] = Polskiego Radia (confidence=0.99) (incorrect boundry)
  FalsePositive nam [68,68] = Passauer (confidence=1.00) (incorrect boundry)
  FalseNegative nam [11,14] = rady nadzorczej Polskiego Radia
  FalseNegative nam [68,70] = Passauer – Polskapresse

(ChunkerEvaluator) Sentence #592 from 00102354 from sent10

Text  : Z rekomendacji Samoobrony : Rafał Trusiewicz , prawnik , ekspert sejmowej komisji do spraw bankowości i_ nadzoru bankowego ;_ Agnieszka Szymańczyk ,_ ekonomistka ,_ zatrudniona w_ Funduszu Gwarantowanych Świadczeń Pracowniczych ._
Tokens: 1 2___________ 3_________ 4 5____ 6_________ 7 8______ 9 10_____ 11______ 12_____ 13 14___ 15________ 16 17_____ 18_______ 19 20_______ 21________ 22 23_________ 24 25_________ 26 27______ 28____________ 29_______ 30___________ 31

Chunks:
  TruePositive nam [3,3] = Samoobrony (confidence=0.97)
  TruePositive nam [5,6] = Rafał Trusiewicz (confidence=0.98)
  TruePositive nam [20,21] = Agnieszka Szymańczyk (confidence=1.00)
  TruePositive nam [27,30] = Funduszu Gwarantowanych Świadczeń Pracowniczych (confidence=1.00)

(ChunkerEvaluator) Sentence #593 from 00102354 from sent11

Text  : Z rekomendacji LPR : Beata Kropiewnicka , księgowa w szpitalu AM w_ Białymstoku ;_ dostała rekomendację od Krzysztofa Fedorowicza ,_ bliskiego współpracownika wicepremiera Romana Giertycha ;_ Renata Kubińska –_ Sieradzka ,_ socjolog ,_ pracuje w_ Banku Zachodnim ,_ bez powodzenia kandydowała z_ list LPR w_ wyborach do Sejmu ._
Tokens: 1 2___________ 3__ 4 5____ 6___________ 7 8_______ 9 10______ 11 12 13_________ 14 15_____ 16__________ 17 18________ 19_________ 20 21_______ 22_____________ 23__________ 24____ 25_______ 26 27____ 28______ 29 30_______ 31 32______ 33 34_____ 35 36___ 37_______ 38 39_ 40________ 41_________ 42 43__ 44_ 45 46______ 47 48___ 49

Chunks:
  TruePositive nam [3,3] = LPR (confidence=0.91)
  TruePositive nam [5,6] = Beata Kropiewnicka (confidence=0.98)
  TruePositive nam [11,11] = AM (confidence=1.00)
  TruePositive nam [13,13] = Białymstoku (confidence=0.57)
  TruePositive nam [18,19] = Krzysztofa Fedorowicza (confidence=1.00)
  TruePositive nam [24,25] = Romana Giertycha (confidence=1.00)
  TruePositive nam [27,30] = Renata Kubińska – Sieradzka (confidence=1.00)
  TruePositive nam [36,37] = Banku Zachodnim (confidence=1.00)
  TruePositive nam [44,44] = LPR (confidence=0.97)
  TruePositive nam [48,48] = Sejmu (confidence=1.00)

(ChunkerEvaluator) Sentence #594 from 00102354 from sent12

Text  : Mój komentarz : Bar wzięty …
Tokens: 1__ 2________ 3 4__ 5_____ 6

Chunks:
  FalseNegative nam [4,4] = Bar

(ChunkerEvaluator) Sentence #595 from 00102354 from sent13

Text  : Nieodparcie nasuwa mi się na pamięć jakieś powiedzenie o miedzianych czołach ._
Tokens: 1__________ 2_____ 3_ 4__ 5_ 6_____ 7_____ 8__________ 9 10_________ 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #596 from 00102354 from sent14

Text  : Nieoczytanym ( choć oni tu pewnie nie bywają ) wyjaśniam tę subtelną aluzję :_ mówimy tak o_ ludziach ,_ którzy łżą bezczelnie i_ cynicznie w_ żywe oczy ._
Tokens: 1___________ 2 3___ 4__ 5_ 6_____ 7__ 8_____ 9 10_______ 11 12______ 13____ 14 15____ 16_ 17 18______ 19 20____ 21_ 22________ 23 24_______ 25 26__ 27__ 28

Chunks:

(ChunkerEvaluator) Sentence #597 from 00102354 from sent15

Text  : Szefowie Zetki i Radia RFM zacierają ręce : pogratulujmy im prezentu ._
Tokens: 1_______ 2____ 3 4____ 5__ 6________ 7___ 8 9___________ 10 11______ 12

Chunks:
  TruePositive nam [2,2] = Zetki (confidence=0.98)
  TruePositive nam [4,5] = Radia RFM (confidence=0.92)

(ChunkerEvaluator) Sentence #598 from 00102354 from sent16

Text  : Uważnie przyjrzymy się audytorium PR1 za rok ( jeśli ta niekompetentna banda utrzyma się tak długo ;_ ale obawiam się ,_ że tak )_ ._
Tokens: 1______ 2_________ 3__ 4_________ 5__ 6_ 7__ 8 9____ 10 11____________ 12___ 13_____ 14_ 15_ 16___ 17 18_ 19_____ 20_ 21 22 23_ 24 25

Chunks:
  TruePositive nam [5,5] = PR1 (confidence=0.93)

2017-06-14 20:02:42,595 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 38 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102438.xml
(ChunkerEvaluator) Sentence #599 from 00102438 from sent1

Text  : Świetny artykuł z “ The Rolling Stone ” , tytuł wszystko tłumaczy ._
Tokens: 1______ 2______ 3 4 5__ 6______ 7____ 8 9 10___ 11______ 12______ 13

Chunks:
  TruePositive nam [5,7] = The Rolling Stone (confidence=1.00)

(ChunkerEvaluator) Sentence #600 from 00102438 from sent2

Text  : “ Miliardy dolarów zostały zaprzepaszczone na skutek procesu przeciw Napsterowi -_ wtedy właśnie wytwórnie same siebie zniszczyły -_ mówi Jeff Kwatinetz ,_ CEO firmy The Firm ._ ”_
Tokens: 1 2_______ 3______ 4______ 5______________ 6_ 7_____ 8______ 9______ 10________ 11 12___ 13_____ 14_______ 15__ 16____ 17________ 18 19__ 20__ 21_______ 22 23_ 24___ 25_ 26__ 27 28

Chunks:
  TruePositive nam [10,10] = Napsterowi (confidence=0.98)
  TruePositive nam [20,21] = Jeff Kwatinetz (confidence=1.00)
  FalsePositive nam [23,23] = CEO (confidence=0.96) (incorrect boundry)
  FalsePositive nam [25,27] = The Firm . (confidence=0.97) (incorrect boundry)
  FalseNegative nam [3,3] = dolarów
  FalseNegative nam [25,26] = The Firm

2017-06-14 20:02:42,608 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 39 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102509.xml
(ChunkerEvaluator) Sentence #601 from 00102509 from sent1

Text  : Spotkanie 30 sierpnia 2008
Tokens: 1________ 2_ 3_______ 4___

Chunks:

(ChunkerEvaluator) Sentence #602 from 00102509 from sent2

Text  : Krótkie , ale sympatyczne spotkanie , na którym Andy jeździł Xrayem XB8 ,_ a_ Jarek elektrycznym Losi XXX -_ CR ._
Tokens: 1______ 2 3__ 4__________ 5________ 6 7_ 8_____ 9___ 10_____ 11____ 12_ 13 14 15___ 16__________ 17__ 18_ 19 20 21

Chunks:
  TruePositive nam [9,9] = Andy (confidence=1.00)
  TruePositive nam [11,12] = Xrayem XB8 (confidence=1.00)
  TruePositive nam [15,15] = Jarek (confidence=1.00)
  FalsePositive nam [17,20] = Losi XXX - CR (confidence=1.00) (incorrect boundry)
  FalseNegative nam [17,17] = Losi
  FalseNegative nam [18,20] = XXX - CR

(ChunkerEvaluator) Sentence #603 from 00102509 from sent3

Text  : Kontynuowali śmy również próby dojścia przyczyny problemów Ofny Hyper 7_ z_ gaśnięciem silnika ._
Tokens: 1___________ 2__ 3______ 4____ 5______ 6________ 7________ 8___ 9____ 10 11 12________ 13_____ 14

Chunks:
  FalsePositive nam [8,10] = Ofny Hyper 7 (confidence=0.97) (incorrect boundry)
  FalseNegative nam [8,8] = Ofny
  FalseNegative nam [9,10] = Hyper 7

(ChunkerEvaluator) Sentence #604 from 00102509 from sent4

Text  : Badając ten pechowy model Andy odkrył wyciek spod iglicy wysokich obrotów ._
Tokens: 1______ 2__ 3______ 4____ 5___ 6_____ 7_____ 8___ 9_____ 10______ 11_____ 12

Chunks:
  TruePositive nam [5,5] = Andy (confidence=1.00)

(ChunkerEvaluator) Sentence #605 from 00102509 from sent5

Text  : Uznali śmy , że to może być ta przyczyna ,_ czeka nas więc rozebranie gaźnika i_ próba uszczelnienia iglicy ._
Tokens: 1_____ 2__ 3 4_ 5_ 6___ 7__ 8_ 9________ 10 11___ 12_ 13__ 14________ 15_____ 16 17___ 18___________ 19____ 20

Chunks:

2017-06-14 20:02:42,628 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 40 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102512.xml
(ChunkerEvaluator) Sentence #606 from 00102512 from sent1

Text  : Ostatnia niedziela września zaskoczyła nas przepiękną pogodą .
Tokens: 1_______ 2________ 3_______ 4_________ 5__ 6_________ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #607 from 00102512 from sent2

Text  : Tor oświetlały złote promienie słońca , w powietrzu unosiło sie babie lato ._
Tokens: 1__ 2_________ 3____ 4________ 5_____ 6 7 8________ 9______ 10_ 11___ 12__ 13

Chunks:

(ChunkerEvaluator) Sentence #608 from 00102512 from sent3

Text  : Niestety wydarzenia na torze nie wyglądały już tak sielankowo jak towarzysząca im aura ._
Tokens: 1_______ 2_________ 3_ 4____ 5__ 6________ 7__ 8__ 9_________ 10_ 11__________ 12 13__ 14

Chunks:

(ChunkerEvaluator) Sentence #609 from 00102512 from sent4

Text  : Serię pechowych zdarzeń rozpoczęła awaria łożyska w silniku Novak Velocity napędzającym Losi XXX -_ CR ._
Tokens: 1____ 2________ 3______ 4_________ 5_____ 6______ 7 8______ 9____ 10______ 11__________ 12__ 13_ 14 15 16

Chunks:
  TruePositive nam [12,12] = Losi (confidence=1.00)
  TruePositive nam [13,15] = XXX - CR (confidence=0.51)
  FalsePositive nam [9,10] = Novak Velocity (confidence=1.00) (incorrect boundry)
  FalseNegative nam [9,9] = Novak
  FalseNegative nam [10,10] = Velocity

(ChunkerEvaluator) Sentence #610 from 00102512 from sent5

Text  : W rezultacie model Jarka został unieruchomiony do końca tego sezonu ._
Tokens: 1 2_________ 3____ 4____ 5_____ 6_____________ 7_ 8____ 9___ 10____ 11

Chunks:
  TruePositive nam [4,4] = Jarka (confidence=1.00)

(ChunkerEvaluator) Sentence #611 from 00102512 from sent6

Text  : Chwilę później do grona unieruchomionych bagusów dołączył należący do Maciolusa model JConcepts J82 ,_ w_ którym złamał się wahacz ._
Tokens: 1_____ 2______ 3_ 4____ 5_______________ 6______ 7_______ 8_______ 9_ 10_______ 11___ 12_______ 13_ 14 15 16____ 17____ 18_ 19____ 20

Chunks:
  TruePositive nam [10,10] = Maciolusa (confidence=1.00)
  TruePositive nam [12,13] = JConcepts J82 (confidence=0.97)

(ChunkerEvaluator) Sentence #612 from 00102512 from sent7

Text  : Sytuacja z modelami nitro nie wyglądała lepiej .
Tokens: 1_______ 2 3_______ 4____ 5__ 6________ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #613 from 00102512 from sent8

Text  : Silniki w Jamminach CRT . 5 , należących do Huberta i_ Jarka ,_ gasły bez wyraźnego powodu i_ nie pomagała im ani regulacja ,_ ani zmiana świec ,_ ani groźby i_ prośby włascicieli ._
Tokens: 1______ 2 3________ 4__ 5 6 7 8_________ 9_ 10_____ 11 12___ 13 14___ 15_ 16_______ 17____ 18 19_ 20______ 21 22_ 23_______ 24 25_ 26____ 27___ 28 29_ 30____ 31 32____ 33_________ 34

Chunks:
  TruePositive nam [3,6] = Jamminach CRT . 5 (confidence=1.00)
  TruePositive nam [10,10] = Huberta (confidence=1.00)
  TruePositive nam [12,12] = Jarka (confidence=1.00)

(ChunkerEvaluator) Sentence #614 from 00102512 from sent9

Text  : Gwoździem do trumny spotkania okazała się awaria zasilania w bezszczotkowym Lightningu ._
Tokens: 1________ 2_ 3_____ 4________ 5______ 6__ 7_____ 8________ 9 10____________ 11________ 12

Chunks:
  TruePositive nam [11,11] = Lightningu (confidence=0.98)

(ChunkerEvaluator) Sentence #615 from 00102512 from sent10

Text  : Według diagnozy Maciolusa prawdopodobnie padło jedno z ogniw A123 ._
Tokens: 1_____ 2_______ 3________ 4_____________ 5____ 6____ 7 8____ 9___ 10

Chunks:
  TruePositive nam [3,3] = Maciolusa (confidence=1.00)
  FalsePositive nam [9,9] = A123 (confidence=0.92) (incorrect boundry)

(ChunkerEvaluator) Sentence #616 from 00102512 from sent11

Text  : Nastroje na spotkaniu poprawiło dopiero pojawienie się Piotrka , który przyjechał ze swoim odzyskanym niedawno Rustlerem XL -_ 1_ ,_ oraz Bazyla ,_ który przywiózł nowiutki model Hot Bodies D8 ._
Tokens: 1_______ 2_ 3________ 4________ 5______ 6_________ 7__ 8______ 9 10___ 11________ 12 13___ 14________ 15______ 16_______ 17 18 19 20 21__ 22____ 23 24___ 25_______ 26______ 27___ 28_ 29____ 30 31

Chunks:
  TruePositive nam [8,8] = Piotrka (confidence=1.00)
  TruePositive nam [16,19] = Rustlerem XL - 1 (confidence=1.00)
  TruePositive nam [22,22] = Bazyla (confidence=1.00)
  TruePositive nam [28,30] = Hot Bodies D8 (confidence=1.00)

(ChunkerEvaluator) Sentence #617 from 00102512 from sent12

Text  : Obydwa modele po raz pierwszy gościły na naszym torze ,_ więc naturalnie wzbudziły duże zainteresowanie ._
Tokens: 1_____ 2_____ 3_ 4__ 5_______ 6______ 7_ 8_____ 9____ 10 11__ 12________ 13_______ 14__ 15_____________ 16

Chunks:

2017-06-14 20:02:42,681 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 41 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102602.xml
(ChunkerEvaluator) Sentence #618 from 00102602 from sent1

Text  : Na podstawie art . 4 ust . 3 ustawy z_ dnia 31 maja 1996 r_ ._ o_ świadczeniu pieniężnym przysługującym osobom deportowanym do pracy przymusowej oraz osadzonym w_ obozach pracy przez III Rzeszę i_ Związek Socjalistycznych Republik Radzieckich (_ Dz ._ U_ ._ Nr 87 ,_ poz ._ 395 ,_ z_ 1998 r_ ._ Nr 162 ,_ poz ._ 1118 i_ z_ 1999 r_ ._ Nr 28 ,_ poz ._ 257 )_ zarządza się ,_ co następuje :_ §_ 1_ ._
Tokens: 1_ 2________ 3__ 4 5 6__ 7 8 9_____ 10 11__ 12 13__ 14__ 15 16 17 18_________ 19________ 20____________ 21____ 22__________ 23 24___ 25_________ 26__ 27_______ 28 29_____ 30___ 31___ 32_ 33____ 34 35_____ 36______________ 37______ 38_________ 39 40 41 42 43 44 45 46 47_ 48 49_ 50 51 52__ 53 54 55 56_ 57 58_ 59 60__ 61 62 63__ 64 65 66 67 68 69_ 70 71_ 72 73______ 74_ 75 76 77_______ 78 79 80 81

Chunks:
  TruePositive nam [32,33] = III Rzeszę (confidence=1.00)
  TruePositive nam [35,38] = Związek Socjalistycznych Republik Radzieckich (confidence=1.00)
  FalsePositive nam [9,18] = ustawy z dnia 31 maja 1996 r . o świadczeniu (confidence=0.94) (incorrect boundry)
  FalsePositive nam [40,43] = Dz . U . (confidence=1.00) (incorrect boundry)
  FalseNegative nam [40,42] = Dz . U

(ChunkerEvaluator) Sentence #619 from 00102602 from sent2

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #620 from 00102602 from sent3

Text  : Postępowanie o przyznanie świadczenia pieniężnego , o którym mowa w_ art ._ 1_ ustawy z_ dnia 31 maja 1996 r_ ._ o_ świadczeniu pieniężnym przysługującym osobom deportowanym do pracy przymusowej oraz osadzonym w_ obozach pracy przez III Rzeszę i_ Związek Socjalistycznych Republik Radzieckich (_ Dz ._ U_ ._ Nr 87 ,_ poz ._ 395 ,_ z_ 1998 r_ ._ Nr 162 ,_ poz ._ 1118 i_ z_ 1999 r_ ._ Nr 28 ,_ poz ._ 257 )_ ,_ zwanej dalej "_ ustawą "_ ,_ wszczyna się na pisemny wniosek osoby zainteresowanej zaopiniowany przez właściwe stowarzyszenie osób poszkodowanych ._
Tokens: 1___________ 2 3_________ 4__________ 5__________ 6 7 8_____ 9___ 10 11_ 12 13 14____ 15 16__ 17 18__ 19__ 20 21 22 23_________ 24________ 25____________ 26____ 27__________ 28 29___ 30_________ 31__ 32_______ 33 34_____ 35___ 36___ 37_ 38____ 39 40_____ 41______________ 42______ 43_________ 44 45 46 47 48 49 50 51 52_ 53 54_ 55 56 57__ 58 59 60 61_ 62 63_ 64 65__ 66 67 68__ 69 70 71 72 73 74_ 75 76_ 77 78 79____ 80___ 81 82____ 83 84 85______ 86_ 87 88_____ 89_____ 90___ 91_____________ 92__________ 93___ 94______ 95____________ 96__ 97____________ 98

Chunks:
  TruePositive nam [37,38] = III Rzeszę (confidence=1.00)
  TruePositive nam [40,43] = Związek Socjalistycznych Republik Radzieckich (confidence=1.00)
  TruePositive nam [45,48] = Dz . U . (confidence=1.00)
  FalsePositive nam [14,23] = ustawy z dnia 31 maja 1996 r . o świadczeniu (confidence=0.63) (incorrect boundry)

(ChunkerEvaluator) Sentence #621 from 00102602 from sent4

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #622 from 00102602 from sent5

Text  : Wniosek , o którym mowa w ust . 1 ,_ składa się do Kierownika Urzędu do Spraw Kombatantów i_ Osób Represjonowanych ,_ zwanego dalej "_ Kierownikiem Urzędu "_ ._
Tokens: 1______ 2 3 4_____ 5___ 6 7__ 8 9 10 11____ 12_ 13 14________ 15____ 16 17___ 18_________ 19 20__ 21______________ 22 23_____ 24___ 25 26__________ 27____ 28 29

Chunks:
  FalsePositive nam [14,18] = Kierownika Urzędu do Spraw Kombatantów (confidence=0.99) (incorrect boundry)
  FalsePositive nam [20,21] = Osób Represjonowanych (confidence=0.54) (incorrect boundry)
  FalsePositive nam [26,27] = Kierownikiem Urzędu (confidence=0.94) (incorrect boundry)
  FalseNegative nam [15,21] = Urzędu do Spraw Kombatantów i Osób Represjonowanych

(ChunkerEvaluator) Sentence #623 from 00102602 from sent6

Text  : Do wniosku należy dołączyć dokumenty i inne dowody służące wyjaśnieniu wszystkich okoliczności sprawy ,_ potwierdzające fakty podlegania represjom (_ rodzaje ,_ okres i_ miejsce )_ ,_ o_ których mowa w_ ustawie ._
Tokens: 1_ 2______ 3_____ 4_______ 5________ 6 7___ 8_____ 9______ 10_________ 11________ 12__________ 13____ 14 15____________ 16___ 17________ 18_______ 19 20_____ 21 22___ 23 24_____ 25 26 27 28_____ 29__ 30 31_____ 32

Chunks:

(ChunkerEvaluator) Sentence #624 from 00102602 from sent7

Text  : § 2 .
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #625 from 00102602 from sent8

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #626 from 00102602 from sent9

Text  : Dokumentami , o których mowa w § 1 ust ._ 2_ ,_ są dokumenty wystawione przez powołane do tego ,_ w_ zakresie ich działania ,_ krajowe i_ zagraniczne organy państwowe lub inne państwowe i_ niepaństwowe jednostki organizacyjne ,_ potwierdzające rodzaj ,_ miejsce i_ czas trwania represji ,_ a_ w_ szczególności przez :_
Tokens: 1__________ 2 3 4______ 5___ 6 7 8 9__ 10 11 12 13 14_______ 15________ 16___ 17______ 18 19__ 20 21 22______ 23_ 24_______ 25 26_____ 27 28_________ 29____ 30_______ 31_ 32__ 33_______ 34 35__________ 36_______ 37___________ 38 39____________ 40____ 41 42_____ 43 44__ 45_____ 46______ 47 48 49 50___________ 51___ 52

Chunks:

(ChunkerEvaluator) Sentence #627 from 00102602 from sent10

Text  : 1 ) Międzynarodowe Biuro Poszukiwań w Bad Arolsen ( RFN )_ ,_
Tokens: 1 2 3_____________ 4____ 5_________ 6 7__ 8______ 9 10_ 11 12

Chunks:
  TruePositive nam [10,10] = RFN (confidence=0.99)
  FalsePositive nam [3,8] = Międzynarodowe Biuro Poszukiwań w Bad Arolsen (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,5] = Międzynarodowe Biuro Poszukiwań
  FalseNegative nam [7,8] = Bad Arolsen

(ChunkerEvaluator) Sentence #628 from 00102602 from sent11

Text  : 2 ) Międzynarodowy Czerwony Krzyż i jego agendy w poszczególnych państwach ,_
Tokens: 1 2 3_____________ 4_______ 5____ 6 7___ 8_____ 9 10____________ 11_______ 12

Chunks:
  TruePositive nam [3,5] = Międzynarodowy Czerwony Krzyż (confidence=0.99)

(ChunkerEvaluator) Sentence #629 from 00102602 from sent12

Text  : 3 ) Instytut Pamięci Narodowej - Komisja Ścigania Zbrodni Przeciwko Narodowi Polskiemu ,_
Tokens: 1 2 3_______ 4______ 5________ 6 7______ 8_______ 9______ 10_______ 11______ 12_______ 13

Chunks:
  TruePositive nam [3,5] = Instytut Pamięci Narodowej (confidence=1.00)
  TruePositive nam [7,12] = Komisja Ścigania Zbrodni Przeciwko Narodowi Polskiemu (confidence=1.00)

(ChunkerEvaluator) Sentence #630 from 00102602 from sent13

Text  : 4 ) archiwa państwowe - krajowe i zagraniczne ,
Tokens: 1 2 3______ 4________ 5 6______ 7 8__________ 9

Chunks:

(ChunkerEvaluator) Sentence #631 from 00102602 from sent14

Text  : 5 ) muzea państwowe i samorządowe ,
Tokens: 1 2 3____ 4________ 5 6__________ 7

Chunks:

(ChunkerEvaluator) Sentence #632 from 00102602 from sent15

Text  : 6 ) Centralne Archiwum Ministerstwa Spraw Wewnętrznych i Administracji ,_
Tokens: 1 2 3________ 4_______ 5___________ 6____ 7___________ 8 9____________ 10

Chunks:
  FalsePositive nam [4,7] = Archiwum Ministerstwa Spraw Wewnętrznych (confidence=0.61) (incorrect boundry)
  FalsePositive nam [9,9] = Administracji (confidence=0.71) (incorrect boundry)
  FalseNegative nam [3,9] = Centralne Archiwum Ministerstwa Spraw Wewnętrznych i Administracji

(ChunkerEvaluator) Sentence #633 from 00102602 from sent16

Text  : 7 ) Archiwum Wschodnie w Fundacji Ośrodka " Karta "_ w_ Warszawie ,_
Tokens: 1 2 3_______ 4________ 5 6_______ 7______ 8 9____ 10 11 12_______ 13

Chunks:
  TruePositive nam [3,4] = Archiwum Wschodnie (confidence=0.68)
  TruePositive nam [12,12] = Warszawie (confidence=1.00)
  FalsePositive nam [6,9] = Fundacji Ośrodka " Karta (confidence=0.99) (incorrect boundry)
  FalseNegative nam [6,10] = Fundacji Ośrodka " Karta "

(ChunkerEvaluator) Sentence #634 from 00102602 from sent17

Text  : 8 ) Instytut Hoovera ; Uniwersytet w Stanford ( USA )_ ,_
Tokens: 1 2 3_______ 4______ 5 6__________ 7 8_______ 9 10_ 11 12

Chunks:
  TruePositive nam [8,8] = Stanford (confidence=0.93)
  TruePositive nam [10,10] = USA (confidence=1.00)
  FalsePositive nam [6,6] = Uniwersytet (confidence=0.99) (incorrect boundry)
  FalseNegative nam [3,4] = Instytut Hoovera

2017-06-14 20:02:42,792 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 42 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102677.xml
(ChunkerEvaluator) Sentence #635 from 00102677 from sent1

Text  : dzień dobry , xxx , w czym mogę pomóc ?_
Tokens: 1____ 2____ 3 4__ 5 6 7___ 8___ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #636 from 00102677 from sent2

Text  : dzień dobry panu
Tokens: 1____ 2____ 3___

Chunks:

(ChunkerEvaluator) Sentence #637 from 00102677 from sent3

Text  : dzień
Tokens: 1____

Chunks:

(ChunkerEvaluator) Sentence #638 from 00102677 from sent4

Text  : dzień
Tokens: 1____

Chunks:

(ChunkerEvaluator) Sentence #639 from 00102677 from sent5

Text  : pana , tym pięćset sześć , ten przyśpieszony autobus ,_ czy on ma przystanek FILLER róg FILLER Świętokrzyskiej i_ __ __ __ FILLER i_ Marszałkowskiej ?_
Tokens: 1___ 2 3__ 4______ 5____ 6 7__ 8____________ 9______ 10 11_ 12 13 14________ 15____ 16_ 17____ 18_____________ 19 20 21 22 23____ 24 25_____________ 26

Chunks:
  TruePositive nam [25,25] = Marszałkowskiej (confidence=0.98)
  FalsePositive nam [17,18] = FILLER Świętokrzyskiej (confidence=0.67) (incorrect boundry)
  FalseNegative nam [18,18] = Świętokrzyskiej

(ChunkerEvaluator) Sentence #640 from 00102677 from sent6

Text  : FILLER w kierunku , proszę pana , Kasprzaka
Tokens: 1_____ 2 3_______ 4 5_____ 6___ 7 8________

Chunks:
  TruePositive nam [8,8] = Kasprzaka (confidence=0.97)

(ChunkerEvaluator) Sentence #641 from 00102677 from sent7

Text  : tak , proszę pana , ma przystanek , to jest Metro Świętokrzyska przystanek
Tokens: 1__ 2 3_____ 4___ 5 6_ 7_________ 8 9_ 10__ 11___ 12___________ 13________

Chunks:
  TruePositive nam [11,12] = Metro Świętokrzyska (confidence=1.00)

(ChunkerEvaluator) Sentence #642 from 00102677 from sent8

Text  : aha , Metro Świętokrzyska
Tokens: 1__ 2 3____ 4____________

Chunks:
  TruePositive nam [3,4] = Metro Świętokrzyska (confidence=1.00)

(ChunkerEvaluator) Sentence #643 from 00102677 from sent9

Text  : tak , on jest na ulicy Świętokrzyskiej , zaraz jak autobus zjedzie tutaj ze skrzyżowania z_ Marszałkowską
Tokens: 1__ 2 3_ 4___ 5_ 6____ 7______________ 8 9____ 10_ 11_____ 12_____ 13___ 14 15__________ 16 17___________

Chunks:
  TruePositive nam [7,7] = Świętokrzyskiej (confidence=1.00)
  TruePositive nam [17,17] = Marszałkowską (confidence=0.89)

(ChunkerEvaluator) Sentence #644 from 00102677 from sent10

Text  : dobrze , czy on potem się zatrzymuje jeszcze na na Rondzie ONZu ?_
Tokens: 1_____ 2 3__ 4_ 5____ 6__ 7_________ 8______ 9_ 10 11_____ 12__ 13

Chunks:
  TruePositive nam [11,12] = Rondzie ONZu (confidence=1.00)

(ChunkerEvaluator) Sentence #645 from 00102677 from sent11

Text  : zatrzymuje się , tak
Tokens: 1_________ 2__ 3 4__

Chunks:

(ChunkerEvaluator) Sentence #646 from 00102677 from sent12

Text  : zatrzymuje FILLER a proszę pana , a _ _ __ FILLER __ __ __ przed tym FILLER przed Świętokrzyską ?_
Tokens: 1_________ 2_____ 3 4_____ 5___ 6 7 8 9 10 11____ 12 13 14 15___ 16_ 17____ 18___ 19___________ 20

Chunks:
  TruePositive nam [19,19] = Świętokrzyską (confidence=0.92)

(ChunkerEvaluator) Sentence #647 from 00102677 from sent13

Text  : FILLER gdzie jest jeszcze przystanek , bo on jedzie Tamką bodajże
Tokens: 1_____ 2____ 3___ 4______ 5_________ 6 7_ 8_ 9_____ 10___ 11_____

Chunks:
  TruePositive nam [10,10] = Tamką (confidence=0.94)

(ChunkerEvaluator) Sentence #648 from 00102677 from sent14

Text  : tak , tak , i przed Metrem Świętokrzyska ma przystanek na rogu FILLER ulicy Świętokrzyskiej i_ Nowego Światu
Tokens: 1__ 2 3__ 4 5 6____ 7_____ 8____________ 9_ 10________ 11 12__ 13____ 14___ 15_____________ 16 17____ 18____

Chunks:
  TruePositive nam [7,8] = Metrem Świętokrzyska (confidence=0.95)
  TruePositive nam [15,15] = Świętokrzyskiej (confidence=1.00)
  TruePositive nam [17,18] = Nowego Światu (confidence=0.89)

(ChunkerEvaluator) Sentence #649 from 00102677 from sent15

Text  : zaraz przy ministerstwie , tak
Tokens: 1____ 2___ 3____________ 4 5__

Chunks:

(ChunkerEvaluator) Sentence #650 from 00102677 from sent16

Text  : tam jest przystanek , czyli
Tokens: 1__ 2___ 3_________ 4 5____

Chunks:

(ChunkerEvaluator) Sentence #651 from 00102677 from sent17

Text  : naprzeciw Ministerstwa Finansów
Tokens: 1________ 2___________ 3_______

Chunks:
  TruePositive nam [2,3] = Ministerstwa Finansów (confidence=0.99)

(ChunkerEvaluator) Sentence #652 from 00102677 from sent18

Text  : to znaczy nawet po tej samej stronie , jeżeli jadąc w_ kierunku Kasprzaka
Tokens: 1_ 2_____ 3____ 4_ 5__ 6____ 7______ 8 9_____ 10___ 11 12______ 13_______

Chunks:
  TruePositive nam [13,13] = Kasprzaka (confidence=0.99)

(ChunkerEvaluator) Sentence #653 from 00102677 from sent19

Text  : aha , dobra , fajno , dziękuję panu
Tokens: 1__ 2 3____ 4 5____ 6 7_______ 8___

Chunks:

(ChunkerEvaluator) Sentence #654 from 00102677 from sent20

Text  : proszę bardzo
Tokens: 1_____ 2_____

Chunks:

2017-06-14 20:02:42,855 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 43 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102685.xml
(ChunkerEvaluator) Sentence #655 from 00102685 from sent1

Text  : xxx , dzień dobry
Tokens: 1__ 2 3____ 4____

Chunks:

(ChunkerEvaluator) Sentence #656 from 00102685 from sent2

Text  : dzień dobry , pana tam gdzie jest pętla sto siedemdziesiąt trzy w_ Starej Miłosnej ,_ to jeszcze jakie są autobusy tam ?_
Tokens: 1____ 2____ 3 4___ 5__ 6____ 7___ 8____ 9__ 10____________ 11__ 12 13____ 14______ 15 16 17_____ 18___ 19 20______ 21_ 22

Chunks:
  TruePositive nam [13,14] = Starej Miłosnej (confidence=0.97)

(ChunkerEvaluator) Sentence #657 from 00102685 from sent3

Text  : sto trzydzieści siedem i pięćset dwa
Tokens: 1__ 2__________ 3_____ 4 5______ 6__

Chunks:

(ChunkerEvaluator) Sentence #658 from 00102685 from sent4

Text  : a pięćset dwa to gdzie jedzie ?
Tokens: 1 2______ 3__ 4_ 5____ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #659 from 00102685 from sent5

Text  : do Dworca Centralnego przez Ostrobramską
Tokens: 1_ 2_____ 3__________ 4____ 5___________

Chunks:
  TruePositive nam [2,3] = Dworca Centralnego (confidence=0.99)
  TruePositive nam [5,5] = Ostrobramską (confidence=0.80)

(ChunkerEvaluator) Sentence #660 from 00102685 from sent6

Text  : dziękuję bardzo
Tokens: 1_______ 2_____

Chunks:

(ChunkerEvaluator) Sentence #661 from 00102685 from sent7

Text  : dziękuję
Tokens: 1_______

Chunks:

2017-06-14 20:02:42,877 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 44 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102689.xml
(ChunkerEvaluator) Sentence #662 from 00102689 from sent1

Text  : a to pięćset dwadzieścia cztery , tak troszkę okrężnie ,_ bo tak jakby zawracał w_ lewo ,_ tak jak patrzyła m_ na planie
Tokens: 1 2_ 3______ 4__________ 5_____ 6 7__ 8______ 9_______ 10 11 12_ 13___ 14______ 15 16__ 17 18_ 19_ 20______ 21 22 23____

Chunks:

(ChunkerEvaluator) Sentence #663 from 00102689 from sent2

Text  : a już pani mówię ile dokładnie . . .
Tokens: 1 2__ 3___ 4____ 5__ 6________ 7 8 9

Chunks:

(ChunkerEvaluator) Sentence #664 from 00102689 from sent3

Text  : też pół godziny wszystko wychodzi , na na pół godziny w_ rozkładzie
Tokens: 1__ 2__ 3______ 4_______ 5_______ 6 7_ 8_ 9__ 10_____ 11 12________

Chunks:

(ChunkerEvaluator) Sentence #665 from 00102689 from sent4

Text  : jak często , no właśnie bo ja muszę
Tokens: 1__ 2_____ 3 4_ 5______ 6_ 7_ 8____

Chunks:

(ChunkerEvaluator) Sentence #666 from 00102689 from sent5

Text  : to ja tutaj pani by m
Tokens: 1_ 2_ 3____ 4___ 5_ 6

Chunks:

(ChunkerEvaluator) Sentence #667 from 00102689 from sent6

Text  : to pan mi poda FILLER od osiemnastej z minutami te pięćset sześć ,_ jak tam __ __ __
Tokens: 1_ 2__ 3_ 4___ 5_____ 6_ 7__________ 8 9_______ 10 11_____ 12___ 13 14_ 15_ 16 17 18

Chunks:

(ChunkerEvaluator) Sentence #668 from 00102689 from sent7

Text  : dobrze . . .
Tokens: 1_____ 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #669 from 00102689 from sent8

Text  : czy ci to tak
Tokens: 1__ 2_ 3_ 4__

Chunks:

(ChunkerEvaluator) Sentence #670 from 00102689 from sent9

Text  : pani , potrzebuje być tam na ?
Tokens: 1___ 2 3_________ 4__ 5__ 6_ 7

Chunks:

(ChunkerEvaluator) Sentence #671 from 00102689 from sent10

Text  : dzień ?
Tokens: 1____ 2

Chunks:

(ChunkerEvaluator) Sentence #672 from 00102689 from sent11

Text  : o to
Tokens: 1 2_

Chunks:

(ChunkerEvaluator) Sentence #673 from 00102689 from sent12

Text  : na dziewiętnastą na Bródnie
Tokens: 1_ 2____________ 3_ 4______

Chunks:
  TruePositive nam [4,4] = Bródnie (confidence=1.00)

(ChunkerEvaluator) Sentence #674 from 00102689 from sent13

Text  : tak tak tak . . .
Tokens: 1__ 2__ 3__ 4 5 6

Chunks:

(ChunkerEvaluator) Sentence #675 from 00102689 from sent14

Text  : _ _ _ to tak niby o pół go
Tokens: 1 2 3 4_ 5__ 6___ 7 8__ 9_

Chunks:

(ChunkerEvaluator) Sentence #676 from 00102689 from sent15

Text  : a proszę pani to tak osiemnasta cztery
Tokens: 1 2_____ 3___ 4_ 5__ 6_________ 7_____

Chunks:

(ChunkerEvaluator) Sentence #677 from 00102689 from sent16

Text  : to za wcześnie tak
Tokens: 1_ 2_ 3_______ 4__

Chunks:

(ChunkerEvaluator) Sentence #678 from 00102689 from sent17

Text  : osiemnasta dziewiętnaście
Tokens: 1_________ 2_____________

Chunks:

(ChunkerEvaluator) Sentence #679 from 00102689 from sent18

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #680 from 00102689 from sent19

Text  : i osiemnasta trzydzieści cztery to już będzie tak za późno ,_ to już tak na styk
Tokens: 1 2_________ 3__________ 4_____ 5_ 6__ 7_____ 8__ 9_ 10___ 11 12 13_ 14_ 15 16__

Chunks:

(ChunkerEvaluator) Sentence #681 from 00102689 from sent20

Text  : to jest pięćset sześć tak ?
Tokens: 1_ 2___ 3______ 4____ 5__ 6

Chunks:

(ChunkerEvaluator) Sentence #682 from 00102689 from sent21

Text  : a
Tokens: 1

Chunks:

(ChunkerEvaluator) Sentence #683 from 00102689 from sent22

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #684 from 00102689 from sent23

Text  : pięćset dwadzieścia cztery mi pan poda i E trzy
Tokens: 1______ 2__________ 3_____ 4_ 5__ 6___ 7 8 9___

Chunks:

(ChunkerEvaluator) Sentence #685 from 00102689 from sent24

Text  : dobrze . . .
Tokens: 1_____ 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #686 from 00102689 from sent25

Text  : to było z jednego przystanku _ _ _ będzie z_ przystanku Centrum
Tokens: 1_ 2___ 3 4______ 5_________ 6 7 8 9_____ 10 11________ 12_____

Chunks:
  TruePositive nam [12,12] = Centrum (confidence=0.54)

(ChunkerEvaluator) Sentence #687 from 00102689 from sent26

Text  : przy Novotel tu przy nowo
Tokens: 1___ 2______ 3_ 4___ 5___

Chunks:
  TruePositive nam [2,2] = Novotel (confidence=0.99)

(ChunkerEvaluator) Sentence #688 from 00102689 from sent27

Text  : FILLER nie
Tokens: 1_____ 2__

Chunks:

(ChunkerEvaluator) Sentence #689 from 00102689 from sent28

Text  : nie ?
Tokens: 1__ 2

Chunks:

(ChunkerEvaluator) Sentence #690 from 00102689 from sent29

Text  : nie proszę pani z przystanku pod Galerią
Tokens: 1__ 2_____ 3___ 4 5_________ 6__ 7______

Chunks:
  TruePositive nam [7,7] = Galerią (confidence=0.73)

(ChunkerEvaluator) Sentence #691 from 00102689 from sent30

Text  : FILLER a w tą stronę no tak
Tokens: 1_____ 2 3 4_ 5_____ 6_ 7__

Chunks:

(ChunkerEvaluator) Sentence #692 from 00102689 from sent31

Text  : tak , bo on jedzie FILLER jedzie
Tokens: 1__ 2 3_ 4_ 5_____ 6_____ 7_____

Chunks:

(ChunkerEvaluator) Sentence #693 from 00102689 from sent32

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #694 from 00102689 from sent33

Text  : pięćset dwadzieścia cztery jedzie w kierunku Bankowego
Tokens: 1______ 2__________ 3_____ 4_____ 5 6_______ 7________

Chunks:
  TruePositive nam [7,7] = Bankowego (confidence=0.82)

(ChunkerEvaluator) Sentence #695 from 00102689 from sent34

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #696 from 00102689 from sent35

Text  : a E trzy jedzie jeszcze na Plac Zamkowy
Tokens: 1 2 3___ 4_____ 5______ 6_ 7___ 8______

Chunks:
  TruePositive nam [7,8] = Plac Zamkowy (confidence=1.00)
  FalsePositive nam [2,2] = E (confidence=0.51) (incorrect boundry)

(ChunkerEvaluator) Sentence #697 from 00102689 from sent36

Text  : FILLER to inaczej tam w byle co z Placu Bankowego
Tokens: 1_____ 2_ 3______ 4__ 5 6___ 7_ 8 9____ 10_______

Chunks:
  TruePositive nam [9,10] = Placu Bankowego (confidence=1.00)

(ChunkerEvaluator) Sentence #698 from 00102689 from sent37

Text  : z Bankowego metrem szybciej się tam przemieszczę i to wtedy tak
Tokens: 1 2________ 3_____ 4_______ 5__ 6__ 7___________ 8 9_ 10___ 11_

Chunks:
  TruePositive nam [2,2] = Bankowego (confidence=0.66)

(ChunkerEvaluator) Sentence #699 from 00102689 from sent38

Text  : no jakby pani pięćset cztery pięćset dwadzieścia cztery jechała to w_ ogóle mogła by pani z_ Placu Wilsona
Tokens: 1_ 2____ 3___ 4______ 5_____ 6______ 7__________ 8_____ 9______ 10 11 12___ 13___ 14 15__ 16 17___ 18_____

Chunks:
  TruePositive nam [17,18] = Placu Wilsona (confidence=1.00)

(ChunkerEvaluator) Sentence #700 from 00102689 from sent39

Text  : podać
Tokens: 1____

Chunks:

(ChunkerEvaluator) Sentence #701 from 00102689 from sent40

Text  : dobrze
Tokens: 1_____

Chunks:

(ChunkerEvaluator) Sentence #702 from 00102689 from sent41

Text  : i to było by najrozsądniejsze
Tokens: 1 2_ 3___ 4_ 5_______________

Chunks:

(ChunkerEvaluator) Sentence #703 from 00102689 from sent42

Text  : dobrze to tak mi pan poda . . .
Tokens: 1_____ 2_ 3__ 4_ 5__ 6___ 7 8 9

Chunks:

(ChunkerEvaluator) Sentence #704 from 00102689 from sent43

Text  : dobrze . . .
Tokens: 1_____ 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #705 from 00102689 from sent44

Text  : to z Placu Wilsona będzie pani jechała . . ._
Tokens: 1_ 2 3____ 4______ 5_____ 6___ 7______ 8 9 10

Chunks:
  TruePositive nam [3,4] = Placu Wilsona (confidence=1.00)

(ChunkerEvaluator) Sentence #706 from 00102689 from sent45

Text  : osiemnaście minut
Tokens: 1__________ 2____

Chunks:

(ChunkerEvaluator) Sentence #707 from 00102689 from sent46

Text  : o no to tam pojadę tak
Tokens: 1 2_ 3_ 4__ 5_____ 6__

Chunks:

(ChunkerEvaluator) Sentence #708 from 00102689 from sent47

Text  : tak FILLER proszę pani osiemnasta dwadzieścia cztery
Tokens: 1__ 2_____ 3_____ 4___ 5_________ 6__________ 7_____

Chunks:

(ChunkerEvaluator) Sentence #709 from 00102689 from sent48

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #710 from 00102689 from sent49

Text  : osiemnasta trzydzieści osiem
Tokens: 1_________ 2__________ 3____

Chunks:

(ChunkerEvaluator) Sentence #711 from 00102689 from sent50

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #712 from 00102689 from sent51

Text  : i
Tokens: 1

Chunks:

(ChunkerEvaluator) Sentence #713 from 00102689 from sent52

Text  : kolejny czterdzieści osiem tak awaryjnie
Tokens: 1______ 2___________ 3____ 4__ 5________

Chunks:

(ChunkerEvaluator) Sentence #714 from 00102689 from sent53

Text  : a czy E czy E trzy ?
Tokens: 1 2__ 3 4__ 5 6___ 7

Chunks:

(ChunkerEvaluator) Sentence #715 from 00102689 from sent54

Text  : a E trzy to już tam nie jeździ , ale o_ tej porze to już E_ trzy w_ ogóle chyba już nie jeździ już pani
Tokens: 1 2 3___ 4_ 5__ 6__ 7__ 8_____ 9 10_ 11 12_ 13___ 14 15_ 16 17__ 18 19___ 20___ 21_ 22_ 23____ 24_ 25__

Chunks:

(ChunkerEvaluator) Sentence #716 from 00102689 from sent55

Text  : dobrze , to dziękuję bardzo , do widzenia
Tokens: 1_____ 2 3_ 4_______ 5_____ 6 7_ 8_______

Chunks:

(ChunkerEvaluator) Sentence #717 from 00102689 from sent56

Text  : proszę bardzo
Tokens: 1_____ 2_____

Chunks:

(ChunkerEvaluator) Sentence #718 from 00102689 from sent57

Text  : do usłyszenia
Tokens: 1_ 2_________

Chunks:

2017-06-14 20:02:42,995 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 45 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102702.xml
(ChunkerEvaluator) Sentence #719 from 00102702 from sent1

Text  : FILLER dzień dobry , xxx , w czym mogę pomóc ?_
Tokens: 1_____ 2____ 3____ 4 5__ 6 7 8___ 9___ 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #720 from 00102702 from sent2

Text  : FILLER dzień dobry panu , moje nazwisko xxx FILLER proszę pana ,_ ja chciała m_ zapytać ,_ od jakiego wieku w_ Warszawie kasuje się bilet FILLER za dziecko w_ autobusie
Tokens: 1_____ 2____ 3____ 4___ 5 6___ 7_______ 8__ 9_____ 10____ 11__ 12 13 14_____ 15 16_____ 17 18 19_____ 20___ 21 22_______ 23____ 24_ 25___ 26____ 27 28_____ 29 30_______

Chunks:
  TruePositive nam [22,22] = Warszawie (confidence=1.00)

(ChunkerEvaluator) Sentence #721 from 00102702 from sent3

Text  : lub w tramwaju
Tokens: 1__ 2 3_______

Chunks:

(ChunkerEvaluator) Sentence #722 from 00102702 from sent4

Text  : znaczy , proszę
Tokens: 1_____ 2 3_____

Chunks:

(ChunkerEvaluator) Sentence #723 from 00102702 from sent5

Text  : pani dzieci mają bezpłatne przejazdy do czasu objęcia obowiązkiem szkolnym ,_ czyli do siódmego roku życia
Tokens: 1___ 2_____ 3___ 4________ 5________ 6_ 7____ 8______ 9__________ 10______ 11 12___ 13 14______ 15__ 16___

Chunks:

(ChunkerEvaluator) Sentence #724 from 00102702 from sent6

Text  : do siódmego
Tokens: 1_ 2_______

Chunks:

(ChunkerEvaluator) Sentence #725 from 00102702 from sent7

Text  : roku czyli
Tokens: 1___ 2____

Chunks:

(ChunkerEvaluator) Sentence #726 from 00102702 from sent8

Text  : dziecko , tak
Tokens: 1______ 2 3__

Chunks:

(ChunkerEvaluator) Sentence #727 from 00102702 from sent9

Text  : dziecko , które chodzi do zerówki , czyli do najstarszej grupy przedszkolnej ,_ nie musi
Tokens: 1______ 2 3____ 4_____ 5_ 6______ 7 8____ 9_ 10_________ 11___ 12___________ 13 14_ 15__

Chunks:

(ChunkerEvaluator) Sentence #728 from 00102702 from sent10

Text  : jeszcze nie musi , dopiero będzie szło do pierwszej klasy i_ od pierwszego września
Tokens: 1______ 2__ 3___ 4 5______ 6_____ 7___ 8_ 9________ 10___ 11 12 13________ 14______

Chunks:

(ChunkerEvaluator) Sentence #729 from 00102702 from sent11

Text  : i od pierwszego września
Tokens: 1 2_ 3_________ 4_______

Chunks:

(ChunkerEvaluator) Sentence #730 from 00102702 from sent12

Text  : trza będzie kasować bilet
Tokens: 1___ 2_____ 3______ 4____

Chunks:

(ChunkerEvaluator) Sentence #731 from 00102702 from sent13

Text  : bilet
Tokens: 1____

Chunks:

(ChunkerEvaluator) Sentence #732 from 00102702 from sent14

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #733 from 00102702 from sent15

Text  : dziękuję panu bardzo
Tokens: 1_______ 2___ 3_____

Chunks:

(ChunkerEvaluator) Sentence #734 from 00102702 from sent16

Text  : do widzenia
Tokens: 1_ 2_______

Chunks:

(ChunkerEvaluator) Sentence #735 from 00102702 from sent17

Text  : bardzo do usłyszenia
Tokens: 1_____ 2_ 3_________

Chunks:

2017-06-14 20:02:43,033 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 46 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102707.xml
(ChunkerEvaluator) Sentence #736 from 00102707 from sent1

Text  : xxx , dzień dobry
Tokens: 1__ 2 3____ 4____

Chunks:

(ChunkerEvaluator) Sentence #737 from 00102707 from sent2

Text  : dzień dobry panu . . .
Tokens: 1____ 2____ 3___ 4 5 6

Chunks:

(ChunkerEvaluator) Sentence #738 from 00102707 from sent3

Text  : proszę pana . . .
Tokens: 1_____ 2___ 3 4 5

Chunks:

(ChunkerEvaluator) Sentence #739 from 00102707 from sent4

Text  : mógł by mnie pan powiedzieć autobus
Tokens: 1___ 2_ 3___ 4__ 5_________ 6______

Chunks:

(ChunkerEvaluator) Sentence #740 from 00102707 from sent5

Text  : _ _ _ który autobus jadący Podleśną od strony Gwiaździstej
Tokens: 1 2 3 4____ 5______ 6_____ 7_______ 8_ 9_____ 10__________

Chunks:
  TruePositive nam [10,10] = Gwiaździstej (confidence=0.99)
  FalseNegative nam [7,7] = Podleśną

(ChunkerEvaluator) Sentence #741 from 00102707 from sent6

Text  : do
Tokens: 1_

Chunks:

(ChunkerEvaluator) Sentence #742 from 00102707 from sent7

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #743 from 00102707 from sent8

Text  : góry do Marymonckiej FILLER skręca w Kasprowicza , czy jest w_ ogóle taki autobus ,_ który skręca z_ Podleśnej FILLER o_ to znaczy FILLER Podleśna dochodzi do
Tokens: 1___ 2_ 3___________ 4_____ 5_____ 6 7__________ 8 9__ 10__ 11 12___ 13__ 14_____ 15 16___ 17____ 18 19_______ 20____ 21 22 23____ 24____ 25______ 26______ 27

Chunks:
  TruePositive nam [3,3] = Marymonckiej (confidence=0.97)
  TruePositive nam [7,7] = Kasprowicza (confidence=1.00)
  TruePositive nam [19,19] = Podleśnej (confidence=0.89)
  TruePositive nam [25,25] = Podleśna (confidence=0.91)

(ChunkerEvaluator) Sentence #744 from 00102707 from sent9

Text  : Marymonckiej
Tokens: 1___________

Chunks:
  TruePositive nam [1,1] = Marymonckiej (confidence=0.56)

(ChunkerEvaluator) Sentence #745 from 00102707 from sent10

Text  : tak , do Marymonckiej no i później się przemienia w_ Podczaszyńskiego FILLER i_ czy i_ jakiś autobus
Tokens: 1__ 2 3_ 4___________ 5_ 6 7______ 8__ 9_________ 10 11______________ 12____ 13 14_ 15 16___ 17_____

Chunks:
  TruePositive nam [4,4] = Marymonckiej (confidence=0.98)
  TruePositive nam [11,11] = Podczaszyńskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #746 from 00102707 from sent11

Text  : to znaczy , wie pan co , jest taki autobus ,_ który dojeżdża do Kasprowicza ,_ ale to on jedzie potem FILLER z_ Podleśnej w_ Marymoncką ulicą Marymoncką ,_ skręca dopiero Przy Agorze FILLER i_ __ __ __ i_ jadąc Przy Agorze przecina Kasprowicza ._ ._ ._
Tokens: 1_ 2_____ 3 4__ 5__ 6_ 7 8___ 9___ 10_____ 11 12___ 13______ 14 15_________ 16 17_ 18 19 20____ 21___ 22____ 23 24_______ 25 26________ 27___ 28________ 29 30____ 31_____ 32__ 33____ 34____ 35 36 37 38 39 40___ 41__ 42____ 43______ 44_________ 45 46 47

Chunks:
  TruePositive nam [15,15] = Kasprowicza (confidence=1.00)
  TruePositive nam [24,24] = Podleśnej (confidence=0.98)
  TruePositive nam [26,26] = Marymoncką (confidence=0.72)
  TruePositive nam [28,28] = Marymoncką (confidence=0.98)
  TruePositive nam [32,33] = Przy Agorze (confidence=0.45)
  TruePositive nam [41,42] = Przy Agorze (confidence=0.93)
  TruePositive nam [44,44] = Kasprowicza (confidence=0.99)

(ChunkerEvaluator) Sentence #747 from 00102707 from sent12

Text  : aha
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #748 from 00102707 from sent13

Text  : ale to już jest tam prawie pod Hutę
Tokens: 1__ 2_ 3__ 4___ 5__ 6_____ 7__ 8___

Chunks:
  TruePositive nam [8,8] = Hutę (confidence=0.89)

(ChunkerEvaluator) Sentence #749 from 00102707 from sent14

Text  : dobrze , a proszę mi powiedzieć a jaki to jest
Tokens: 1_____ 2 3 4_____ 5_ 6_________ 7 8___ 9_ 10__

Chunks:

(ChunkerEvaluator) Sentence #750 from 00102707 from sent15

Text  : numer
Tokens: 1____

Chunks:

(ChunkerEvaluator) Sentence #751 from 00102707 from sent16

Text  : sto
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #752 from 00102707 from sent17

Text  : dwadzieścia jeden . . .
Tokens: 1__________ 2____ 3 4 5

Chunks:

(ChunkerEvaluator) Sentence #753 from 00102707 from sent18

Text  : aha , jak często on chodzi dzisiaj ? . ._ ._
Tokens: 1__ 2 3__ 4_____ 5_ 6_____ 7______ 8 9 10 11

Chunks:

(ChunkerEvaluator) Sentence #754 from 00102707 from sent19

Text  : FILLER tak jak dzisiaj , proszę pana , co pół godziny
Tokens: 1_____ 2__ 3__ 4______ 5 6_____ 7___ 8 9_ 10_ 11_____

Chunks:

(ChunkerEvaluator) Sentence #755 from 00102707 from sent20

Text  : o cholera . . .
Tokens: 1 2______ 3 4 5

Chunks:

(ChunkerEvaluator) Sentence #756 from 00102707 from sent21

Text  : no to rzeczywiście , aha , sto dwadzieścia jeden
Tokens: 1_ 2_ 3___________ 4 5__ 6 7__ 8__________ 9____

Chunks:

(ChunkerEvaluator) Sentence #757 from 00102707 from sent22

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #758 from 00102707 from sent23

Text  : i
Tokens: 1

Chunks:

(ChunkerEvaluator) Sentence #759 from 00102707 from sent24

Text  : a nie lepiej podjechać do Wilsona i od Wilsona wtedy ?_
Tokens: 1 2__ 3_____ 4________ 5_ 6______ 7 8_ 9______ 10___ 11

Chunks:
  TruePositive nam [6,6] = Wilsona (confidence=1.00)
  TruePositive nam [9,9] = Wilsona (confidence=0.99)

(ChunkerEvaluator) Sentence #760 from 00102707 from sent25

Text  : . . .
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #761 from 00102707 from sent26

Text  : słucham ?
Tokens: 1______ 2

Chunks:

(ChunkerEvaluator) Sentence #762 from 00102707 from sent27

Text  : nie lepiej , bo pan potrzebuje na Kasprowicza , w_ które miejsce ?_
Tokens: 1__ 2_____ 3 4_ 5__ 6_________ 7_ 8__________ 9 10 11___ 12_____ 13

Chunks:
  TruePositive nam [8,8] = Kasprowicza (confidence=1.00)

(ChunkerEvaluator) Sentence #763 from 00102707 from sent28

Text  : tam jest tak zwany , proszę pana , Wolumen
Tokens: 1__ 2___ 3__ 4____ 5 6_____ 7___ 8 9______

Chunks:
  TruePositive nam [9,9] = Wolumen (confidence=0.60)

(ChunkerEvaluator) Sentence #764 from 00102707 from sent29

Text  : a do Wolumenu
Tokens: 1 2_ 3_______

Chunks:
  TruePositive nam [3,3] = Wolumenu (confidence=0.98)

(ChunkerEvaluator) Sentence #765 from 00102707 from sent30

Text  : no
Tokens: 1_

Chunks:

(ChunkerEvaluator) Sentence #766 from 00102707 from sent31

Text  : to wie pan co , tym sto dwadzieścia jeden jakby pan wsiadł
Tokens: 1_ 2__ 3__ 4_ 5 6__ 7__ 8__________ 9____ 10___ 11_ 12____

Chunks:

(ChunkerEvaluator) Sentence #767 from 00102707 from sent32

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #768 from 00102707 from sent33

Text  : to on dowiózł by pana . . .
Tokens: 1_ 2_ 3______ 4_ 5___ 6 7 8

Chunks:

(ChunkerEvaluator) Sentence #769 from 00102707 from sent34

Text  : no do
Tokens: 1_ 2_

Chunks:

(ChunkerEvaluator) Sentence #770 from 00102707 from sent35

Text  : do do tutaj , do do do skrzyżowanie do przystanku Sokratesa przy FILLER i_ to jest od Wolumenu ._ ._ ._
Tokens: 1_ 2_ 3____ 4 5_ 6_ 7_ 8___________ 9_ 10________ 11_______ 12__ 13____ 14 15 16__ 17 18______ 19 20 21

Chunks:
  TruePositive nam [11,11] = Sokratesa (confidence=1.00)
  TruePositive nam [18,18] = Wolumenu (confidence=0.64)

(ChunkerEvaluator) Sentence #771 from 00102707 from sent36

Text  : no ja wiem
Tokens: 1_ 2_ 3___

Chunks:

(ChunkerEvaluator) Sentence #772 from 00102707 from sent37

Text  : do Wolumenu to jest dwa przystanki
Tokens: 1_ 2_______ 3_ 4___ 5__ 6_________

Chunks:
  TruePositive nam [2,2] = Wolumenu (confidence=0.99)

(ChunkerEvaluator) Sentence #773 from 00102707 from sent38

Text  : no tak , tak , tak , tak , tak tylko że
Tokens: 1_ 2__ 3 4__ 5 6__ 7 8__ 9 10_ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #774 from 00102707 from sent39

Text  : albo jeśli może pan pojechać do Wilsona , bo ma pan więcej wtedy autobusów
Tokens: 1___ 2____ 3___ 4__ 5_______ 6_ 7______ 8 9_ 10 11_ 12____ 13___ 14_______

Chunks:
  TruePositive nam [7,7] = Wilsona (confidence=1.00)

(ChunkerEvaluator) Sentence #775 from 00102707 from sent40

Text  : i ?
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #776 from 00102707 from sent41

Text  : i pięćset piętnaście albo sto dziewięćdziesiąt pięć . . ._
Tokens: 1 2______ 3_________ 4___ 5__ 6_______________ 7___ 8 9 10

Chunks:

(ChunkerEvaluator) Sentence #777 from 00102707 from sent42

Text  : a , i , i ten
Tokens: 1 2 3 4 5 6__

Chunks:

(ChunkerEvaluator) Sentence #778 from 00102707 from sent43

Text  : ale to lepiej chyba sto dziewięćdziesiąt pięć będzie wtedy jechać
Tokens: 1__ 2_ 3_____ 4____ 5__ 6_______________ 7___ 8_____ 9____ 10____

Chunks:

(ChunkerEvaluator) Sentence #779 from 00102707 from sent44

Text  : a on się gdzie zatrzymuje na Placu Wilsona ?
Tokens: 1 2_ 3__ 4____ 5_________ 6_ 7____ 8______ 9

Chunks:
  TruePositive nam [7,8] = Placu Wilsona (confidence=1.00)

(ChunkerEvaluator) Sentence #780 from 00102707 from sent45

Text  : panu sprawdzam , chwileczkę . . .
Tokens: 1___ 2________ 3 4_________ 5 6 7

Chunks:

(ChunkerEvaluator) Sentence #781 from 00102707 from sent46

Text  : sto dziewięćdziesiąt pięć , tak jak wyjście z metra na Słowackiego
Tokens: 1__ 2_______________ 3___ 4 5__ 6__ 7______ 8 9____ 10 11_________

Chunks:
  TruePositive nam [11,11] = Słowackiego (confidence=1.00)

(ChunkerEvaluator) Sentence #782 from 00102707 from sent47

Text  : aha , aha , aha , aha . . ._
Tokens: 1__ 2 3__ 4 5__ 6 7__ 8 9 10

Chunks:

(ChunkerEvaluator) Sentence #783 from 00102707 from sent48

Text  : tak jak wyjście z metra na Słowackiego , tak
Tokens: 1__ 2__ 3______ 4 5____ 6_ 7__________ 8 9__

Chunks:
  TruePositive nam [7,7] = Słowackiego (confidence=1.00)

(ChunkerEvaluator) Sentence #784 from 00102707 from sent49

Text  : tak jakby prosto Słowackiego jechał w kierunku Hali Marymonckiej
Tokens: 1__ 2____ 3_____ 4__________ 5_____ 6 7_______ 8___ 9___________

Chunks:
  TruePositive nam [4,4] = Słowackiego (confidence=1.00)
  TruePositive nam [8,9] = Hali Marymonckiej (confidence=1.00)

2017-06-14 20:02:43,138 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 47 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102715.xml
(ChunkerEvaluator) Sentence #785 from 00102715 from sent1

Text  : xxx , dzień dobry
Tokens: 1__ 2 3____ 4____

Chunks:

(ChunkerEvaluator) Sentence #786 from 00102715 from sent2

Text  : no witam , xxx z tej strony , proszę pana ,_ o_ której będę miał FILLER z_ przystanku FILLER Rybna autobus sto dwadzieścia cztery ?_
Tokens: 1_ 2____ 3 4__ 5 6__ 7_____ 8 9_____ 10__ 11 12 13____ 14__ 15__ 16____ 17 18________ 19____ 20___ 21_____ 22_ 23_________ 24____ 25

Chunks:
  TruePositive nam [20,20] = Rybna (confidence=0.99)

(ChunkerEvaluator) Sentence #787 from 00102715 from sent3

Text  : sto dwadzieścia cztery w stronę Okęcia ?
Tokens: 1__ 2__________ 3_____ 4 5_____ 6_____ 7

Chunks:
  TruePositive nam [6,6] = Okęcia (confidence=0.96)

(ChunkerEvaluator) Sentence #788 from 00102715 from sent4

Text  : tak . . .
Tokens: 1__ 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #789 from 00102715 from sent5

Text  : najbliższy odjazd jest szesnasta dwadzieścia osiem
Tokens: 1_________ 2_____ 3___ 4________ 5__________ 6____

Chunks:

(ChunkerEvaluator) Sentence #790 from 00102715 from sent6

Text  : nie , to w dzień roboczy , dzisiaj jest niedziela ,_ proszę pana ,_ pomyłka
Tokens: 1__ 2 3_ 4 5____ 6______ 7 8______ 9___ 10_______ 11 12____ 13__ 14 15_____

Chunks:

(ChunkerEvaluator) Sentence #791 from 00102715 from sent7

Text  : to tak to w niedzielę jest szesnasta dwadzieścia osiem
Tokens: 1_ 2__ 3_ 4 5________ 6___ 7________ 8__________ 9____

Chunks:

(ChunkerEvaluator) Sentence #792 from 00102715 from sent8

Text  : tak ?
Tokens: 1__ 2

Chunks:

(ChunkerEvaluator) Sentence #793 from 00102715 from sent9

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #794 from 00102715 from sent10

Text  : dobra , dzięki , a następny ?
Tokens: 1____ 2 3_____ 4 5 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #795 from 00102715 from sent11

Text  : następny szesnasta czterdzieści sześć
Tokens: 1_______ 2________ 3___________ 4____

Chunks:

(ChunkerEvaluator) Sentence #796 from 00102715 from sent12

Text  : no dziękuję .
Tokens: 1_ 2_______ 3

Chunks:

(ChunkerEvaluator) Sentence #797 from 00102715 from sent13

Text  : pozdrawiam
Tokens: 1_________

Chunks:

(ChunkerEvaluator) Sentence #798 from 00102715 from sent14

Text  : miłego dnia
Tokens: 1_____ 2___

Chunks:

(ChunkerEvaluator) Sentence #799 from 00102715 from sent15

Text  : dziękuję
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #800 from 00102715 from sent16

Text  : cześć
Tokens: 1____

Chunks:

2017-06-14 20:02:43,164 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 48 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103567.xml
(ChunkerEvaluator) Sentence #801 from 00103567 from sent1

Text  : - A - efektowna pauza - brama .
Tokens: 1 2 3 4________ 5____ 6 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #802 from 00103567 from sent2

Text  : Duma pana Landaua .
Tokens: 1___ 2___ 3______ 4

Chunks:
  TruePositive nam [3,3] = Landaua (confidence=1.00)

(ChunkerEvaluator) Sentence #803 from 00103567 from sent3

Text  : Kosztowała majątek , ale jest warta swojej ceny .
Tokens: 1_________ 2______ 3 4__ 5___ 6____ 7_____ 8___ 9

Chunks:

(ChunkerEvaluator) Sentence #804 from 00103567 from sent4

Text  : Nie do sforsowania .
Tokens: 1__ 2_ 3__________ 4

Chunks:

(ChunkerEvaluator) Sentence #805 from 00103567 from sent5

Text  : Do tego osłona gęsto rozstawionych wieżyczek czyni z posiadłości Landaua twierdzę nie do zdobycia ._
Tokens: 1_ 2___ 3_____ 4____ 5____________ 6________ 7____ 8 9__________ 10_____ 11______ 12_ 13 14______ 15

Chunks:
  TruePositive nam [10,10] = Landaua (confidence=1.00)

(ChunkerEvaluator) Sentence #806 from 00103567 from sent6

Text  : Chyba nie muszę dodawać , że zastosowane zabezpieczenia były by nielegalne na terenie Imperium ,_ ale w_ Alarilu ._
Tokens: 1____ 2__ 3____ 4______ 5 6_ 7__________ 8_____________ 9___ 10 11________ 12 13_____ 14______ 15 16_ 17 18_____ 19

Chunks:
  TruePositive nam [14,14] = Imperium (confidence=0.95)
  TruePositive nam [18,18] = Alarilu (confidence=0.96)

(ChunkerEvaluator) Sentence #807 from 00103567 from sent7

Text  : Sam pan rozumie - Hubert zaśmiał się nerwowo , zerkając na Truna ,_ który był w_ połowie sprawdzania kluczy ._
Tokens: 1__ 2__ 3______ 4 5_____ 6______ 7__ 8______ 9 10______ 11 12___ 13 14___ 15_ 16 17_____ 18_________ 19____ 20

Chunks:
  TruePositive nam [5,5] = Hubert (confidence=1.00)
  TruePositive nam [12,12] = Truna (confidence=1.00)

(ChunkerEvaluator) Sentence #808 from 00103567 from sent8

Text  : - Pospiesz się - syknął na kolda .
Tokens: 1 2_______ 3__ 4 5_____ 6_ 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #809 from 00103567 from sent9

Text  : - Tak , pan Landau nie oszczędza na zabezpieczeniach -_ przytaknął Sajev ._
Tokens: 1 2__ 3 4__ 5_____ 6__ 7________ 8_ 9_______________ 10 11________ 12___ 13

Chunks:
  TruePositive nam [5,5] = Landau (confidence=1.00)
  TruePositive nam [12,12] = Sajev (confidence=1.00)

(ChunkerEvaluator) Sentence #810 from 00103567 from sent10

Text  : - Proszę mi opowiedzieć coś więcej o tych niezwykłych machinach wydobywczych ._
Tokens: 1 2_____ 3_ 4__________ 5__ 6_____ 7 8___ 9__________ 10_______ 11__________ 12

Chunks:

(ChunkerEvaluator) Sentence #811 from 00103567 from sent11

Text  : Jeśli lord Balter ma zainwestować w przemysł surowcowy , musi mieć jak najpełniejsze ._ ._ ._
Tokens: 1____ 2___ 3_____ 4_ 5___________ 6 7_______ 8________ 9 10__ 11__ 12_ 13___________ 14 15 16

Chunks:
  TruePositive nam [3,3] = Balter (confidence=1.00)

(ChunkerEvaluator) Sentence #812 from 00103567 from sent12

Text  : - Panie Sajev , że wejdę w słowo , proszę pytać o_ co tylko ._ ._ ._
Tokens: 1 2____ 3____ 4 5_ 6____ 7 8____ 9 10____ 11___ 12 13 14___ 15 16 17

Chunks:
  TruePositive nam [3,3] = Sajev (confidence=0.53)

(ChunkerEvaluator) Sentence #813 from 00103567 from sent13

Text  : - Dobra , włazić - chrząknął kold , w parodii wielkopańskiego gestu wskazując otwarte wejście ._
Tokens: 1 2____ 3 4_____ 5 6________ 7___ 8 9 10_____ 11_____________ 12___ 13_______ 14_____ 15_____ 16

Chunks:

(ChunkerEvaluator) Sentence #814 from 00103567 from sent14

Text  : Mężczyźni umilkli i weszli do ciemnego wnętrza .
Tokens: 1________ 2______ 3 4_____ 5_ 6_______ 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #815 from 00103567 from sent15

Text  : Kold pomajstrował coś przy jednej ze ścian i nagle całe pomieszczenie zalało błękitne światło ,_ pochodzące z_ ogromnych ,_ zawieszonych pod dachem kryształów ._
Tokens: 1___ 2___________ 3__ 4___ 5_____ 6_ 7____ 8 9____ 10__ 11___________ 12____ 13______ 14_____ 15 16________ 17 18_______ 19 20__________ 21_ 22____ 23________ 24

Chunks:
  FalsePositive nam [1,1] = Kold (confidence=0.80) (incorrect boundry)

(ChunkerEvaluator) Sentence #816 from 00103567 from sent16

Text  : Przed ciekawym wzrokiem Sajeva wyłonił się z mroku chaos tysięcy rozrzuconych w_ mniejszym lub większym nieładzie ramion ,_ świdrów ,_ łyżek do wybierania ziemi ,_ transmisyjnych pasów ,_ pojemników z_ mętnymi cieczami ,_ kryształów ,_ przewodów i_ zębatych kół ._
Tokens: 1____ 2_______ 3_______ 4_____ 5______ 6__ 7 8____ 9____ 10_____ 11__________ 12 13_______ 14_ 15______ 16_______ 17____ 18 19_____ 20 21___ 22 23________ 24___ 25 26____________ 27___ 28 29________ 30 31_____ 32______ 33 34________ 35 36_______ 37 38______ 39_ 40

Chunks:
  TruePositive nam [4,4] = Sajeva (confidence=1.00)

(ChunkerEvaluator) Sentence #817 from 00103567 from sent17

Text  : W głębi hangaru majaczyły potężne kontury nieaktywnych , ale gotowych do pracy ,_ konstruktów ._
Tokens: 1 2____ 3______ 4________ 5______ 6______ 7___________ 8 9__ 10______ 11 12___ 13 14_________ 15

Chunks:

(ChunkerEvaluator) Sentence #818 from 00103567 from sent18

Text  : - Tak się właśnie pracuje z przeklętymi koldami panie Sajev ,_ ale ten nieporządek o_ niczym nie świadczy ._
Tokens: 1 2__ 3__ 4______ 5______ 6 7__________ 8______ 9____ 10___ 11 12_ 13_ 14_________ 15 16____ 17_ 18______ 19

Chunks:
  TruePositive nam [10,10] = Sajev (confidence=1.00)

(ChunkerEvaluator) Sentence #819 from 00103567 from sent19

Text  : - Morda człowiek - warknął Trun na Huberta .
Tokens: 1 2____ 3_______ 4 5______ 6___ 7_ 8______ 9

Chunks:
  TruePositive nam [6,6] = Trun (confidence=1.00)
  TruePositive nam [8,8] = Huberta (confidence=1.00)

(ChunkerEvaluator) Sentence #820 from 00103567 from sent20

Text  : - Nie wycieraj sobie pyska koldem , bo bez nas gówno by ście mieli nie urobek ._
Tokens: 1 2__ 3_______ 4____ 5____ 6_____ 7 8_ 9__ 10_ 11___ 12 13__ 14___ 15_ 16____ 17

Chunks:

(ChunkerEvaluator) Sentence #821 from 00103567 from sent21

Text  : - Trun zachowuj się !
Tokens: 1 2___ 3_______ 4__ 5

Chunks:
  TruePositive nam [2,2] = Trun (confidence=0.94)

(ChunkerEvaluator) Sentence #822 from 00103567 from sent22

Text  : Idź pomajstruj coś , do ludzi się nie nadajesz ._
Tokens: 1__ 2_________ 3__ 4 5_ 6____ 7__ 8__ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #823 from 00103567 from sent23

Text  : Proszę tędy panie Sajev .
Tokens: 1_____ 2___ 3____ 4____ 5

Chunks:
  TruePositive nam [4,4] = Sajev (confidence=1.00)

(ChunkerEvaluator) Sentence #824 from 00103567 from sent24

Text  : Kold rzeczywiście odszedł do jednego z pulpitów i zaczął dokręcać jakieś śruby ._
Tokens: 1___ 2___________ 3______ 4_ 5______ 6 7_______ 8 9_____ 10______ 11____ 12___ 13

Chunks:

(ChunkerEvaluator) Sentence #825 from 00103567 from sent25

Text  : Bykiem zerkał na mężczyzn idących w stronę konstruktów .
Tokens: 1_____ 2_____ 3_ 4_______ 5______ 6 7_____ 8__________ 9

Chunks:

(ChunkerEvaluator) Sentence #826 from 00103567 from sent26

Text  : Nagle Trun zobaczył , jak Sajev wykonał dziwny gest przy jednym z_ warsztatów i_ kilka przedmiotów zmieniło swoje położenie ._
Tokens: 1____ 2___ 3_______ 4 5__ 6____ 7______ 8_____ 9___ 10__ 11____ 12 13________ 14 15___ 16_________ 17______ 18___ 19_______ 20

Chunks:
  TruePositive nam [2,2] = Trun (confidence=0.98)
  TruePositive nam [6,6] = Sajev (confidence=1.00)

(ChunkerEvaluator) Sentence #827 from 00103567 from sent27

Text  : Kold wymruczał tylko przekleństwo , ale nie był pewien tego co widzi ._
Tokens: 1___ 2________ 3____ 4___________ 5 6__ 7__ 8__ 9_____ 10__ 11 12___ 13

Chunks:
  FalsePositive nam [1,1] = Kold (confidence=0.53) (incorrect boundry)

(ChunkerEvaluator) Sentence #828 from 00103567 from sent28

Text  : Majstrował dalej , nie spuszczał już jednak wzroku z człowieka lorda Baltera ._
Tokens: 1_________ 2____ 3 4__ 5________ 6__ 7_____ 8_____ 9 10_______ 11___ 12_____ 13

Chunks:
  TruePositive nam [12,12] = Baltera (confidence=0.99)

(ChunkerEvaluator) Sentence #829 from 00103567 from sent29

Text  : - Aach , więc to są te słynne konstrukty Landaua ._
Tokens: 1 2___ 3 4___ 5_ 6_ 7_ 8_____ 9_________ 10_____ 11

Chunks:
  TruePositive nam [10,10] = Landaua (confidence=1.00)

(ChunkerEvaluator) Sentence #830 from 00103567 from sent30

Text  : Robią piorunujące wrażenie - Sajev cmoknął z wrażenia , przyglądając się masywnej bryle automatu ._
Tokens: 1____ 2__________ 3_______ 4 5____ 6______ 7 8_______ 9 10__________ 11_ 12______ 13___ 14______ 15

Chunks:
  TruePositive nam [5,5] = Sajev (confidence=1.00)

(ChunkerEvaluator) Sentence #831 from 00103567 from sent31

Text  : W stanie spoczynku , kiedy przewodów i mechanicznych stawów nie napędzała magiczna energia ,_ konstrukty wyglądały jak oplecione przewodami i_ przekładniami bryły żelaza ._
Tokens: 1 2_____ 3________ 4 5____ 6________ 7 8____________ 9_____ 10_ 11_______ 12______ 13_____ 14 15________ 16_______ 17_ 18_______ 19________ 20 21___________ 22___ 23____ 24

Chunks:

(ChunkerEvaluator) Sentence #832 from 00103567 from sent32

Text  : - Panie Hubercie .
Tokens: 1 2____ 3_______ 4

Chunks:
  TruePositive nam [3,3] = Hubercie (confidence=0.95)

(ChunkerEvaluator) Sentence #833 from 00103567 from sent33

Text  : Chciał by m obejrzeć aktywny konstrukt .
Tokens: 1_____ 2_ 3 4_______ 5______ 6________ 7

Chunks:

(ChunkerEvaluator) Sentence #834 from 00103567 from sent34

Text  : Wręcz - nalegam .
Tokens: 1____ 2 3______ 4

Chunks:

(ChunkerEvaluator) Sentence #835 from 00103567 from sent35

Text  : - Oczywiście , jednak przepisy zabraniają uruchamiania konstruktów w tej hali ._
Tokens: 1 2_________ 3 4_____ 5_______ 6_________ 7___________ 8__________ 9 10_ 11__ 12

Chunks:

(ChunkerEvaluator) Sentence #836 from 00103567 from sent36

Text  : Za tą grodzią - mówił sekretarz - znajduje się jednak hala serwisowa ._
Tokens: 1_ 2_ 3______ 4 5____ 6________ 7 8_______ 9__ 10____ 11__ 12_______ 13

Chunks:

(ChunkerEvaluator) Sentence #837 from 00103567 from sent37

Text  : Naprawiamy tam uszkodzone maszyny i testujemy .
Tokens: 1_________ 2__ 3_________ 4______ 5 6________ 7

Chunks:

(ChunkerEvaluator) Sentence #838 from 00103567 from sent38

Text  : Nic nie stoi na przeszkodzie , aby przejść tam na krótką demonstrację ._
Tokens: 1__ 2__ 3___ 4_ 5___________ 6 7__ 8______ 9__ 10 11____ 12__________ 13

Chunks:

(ChunkerEvaluator) Sentence #839 from 00103567 from sent39

Text  : Trrruuuun !
Tokens: 1________ 2

Chunks:
  TruePositive nam [1,1] = Trrruuuun (confidence=0.79)

(ChunkerEvaluator) Sentence #840 from 00103567 from sent40

Text  : Otwórz grodzie .
Tokens: 1_____ 2______ 3

Chunks:

2017-06-14 20:02:43,317 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 49 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103570.xml
(ChunkerEvaluator) Sentence #841 from 00103570 from sent1

Text  : Maja jeszcze nigdy nie była u dentysty .
Tokens: 1___ 2______ 3____ 4__ 5___ 6 7_______ 8

Chunks:
  FalseNegative nam [1,1] = Maja

(ChunkerEvaluator) Sentence #842 from 00103570 from sent2

Text  : Tato Wojtek postanowił pójść z córką , żeby przekonała się ,_ że chodzenie do dentysty to nic strasznego ._
Tokens: 1___ 2_____ 3_________ 4____ 5 6____ 7 8___ 9_________ 10_ 11 12 13_______ 14 15______ 16 17_ 18________ 19

Chunks:
  FalsePositive nam [1,2] = Tato Wojtek (confidence=0.88) (incorrect boundry)
  FalseNegative nam [2,2] = Wojtek

(ChunkerEvaluator) Sentence #843 from 00103570 from sent3

Text  : Zarejestrował ją do przychodni , której też jest pacjentem ._
Tokens: 1____________ 2_ 3_ 4_________ 5 6_____ 7__ 8___ 9________ 10

Chunks:

(ChunkerEvaluator) Sentence #844 from 00103570 from sent4

Text  : - Musimy sprawdzić , czy wszystkie ząbki masz zdrowe –_ tłumaczył córce ,_ kiedy wyszli już z_ domu ._
Tokens: 1 2_____ 3________ 4 5__ 6________ 7____ 8___ 9_____ 10 11_______ 12___ 13 14___ 15____ 16_ 17 18__ 19

Chunks:

(ChunkerEvaluator) Sentence #845 from 00103570 from sent5

Text  : - Tak bardzo się cieszę , że pójdę dedentysty !_
Tokens: 1 2__ 3_____ 4__ 5_____ 6 7_ 8____ 9_________ 10

Chunks:

(ChunkerEvaluator) Sentence #846 from 00103570 from sent6

Text  : – Maja aż podskakiwała z radości .
Tokens: 1 2___ 3_ 4___________ 5 6______ 7

Chunks:
  TruePositive nam [2,2] = Maja (confidence=0.98)

(ChunkerEvaluator) Sentence #847 from 00103570 from sent7

Text  : - Wszystkie dziewczyny z mojej grupy już były , a_ Hania ma nawet jedną plombę !_
Tokens: 1 2________ 3_________ 4 5____ 6____ 7__ 8___ 9 10 11___ 12 13___ 14___ 15____ 16

Chunks:
  TruePositive nam [11,11] = Hania (confidence=0.91)

(ChunkerEvaluator) Sentence #848 from 00103570 from sent8

Text  : Czerwoną .
Tokens: 1_______ 2

Chunks:

(ChunkerEvaluator) Sentence #849 from 00103570 from sent9

Text  : Chciała by m też dostać plombę .
Tokens: 1______ 2_ 3 4__ 5_____ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #850 from 00103570 from sent10

Text  : Poproszę panią dedentystkę , żeby założyła mi niebieską .
Tokens: 1_______ 2____ 3__________ 4 5___ 6_______ 7_ 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #851 from 00103570 from sent11

Text  : - Nie mówi się dedentysta , tylko dentysta – tłumaczył tato ._
Tokens: 1 2__ 3___ 4__ 5_________ 6 7____ 8_______ 9 10_______ 11__ 12

Chunks:

(ChunkerEvaluator) Sentence #852 from 00103570 from sent12

Text  : - Przecież sam mówił eś : Idziemy dedentysty ? –_ zdziwiła się Maja ._
Tokens: 1 2_______ 3__ 4____ 5_ 6 7______ 8_________ 9 10 11______ 12_ 13__ 14

Chunks:
  TruePositive nam [13,13] = Maja (confidence=0.99)

(ChunkerEvaluator) Sentence #853 from 00103570 from sent13

Text  : - Do dentysty – powiedział z naciskiem tato Wojtek ,_ -_ idziemy do dentysty ._
Tokens: 1 2_ 3_______ 4 5_________ 6 7________ 8___ 9_____ 10 11 12_____ 13 14______ 15

Chunks:
  TruePositive nam [9,9] = Wojtek (confidence=1.00)

(ChunkerEvaluator) Sentence #854 from 00103570 from sent14

Text  : A nawet do pani dentystki Marii .
Tokens: 1 2____ 3_ 4___ 5________ 6____ 7

Chunks:
  TruePositive nam [6,6] = Marii (confidence=0.99)

(ChunkerEvaluator) Sentence #855 from 00103570 from sent15

Text  : - Niech będzie dentysta - zgodziła się Maja .
Tokens: 1 2____ 3_____ 4_______ 5 6_______ 7__ 8___ 9

Chunks:
  TruePositive nam [8,8] = Maja (confidence=1.00)

(ChunkerEvaluator) Sentence #856 from 00103570 from sent16

Text  : – Opowiesz jeszcze raz , jak będzie w gabinecie ?_
Tokens: 1 2_______ 3______ 4__ 5 6__ 7_____ 8 9________ 10

Chunks:

(ChunkerEvaluator) Sentence #857 from 00103570 from sent17

Text  : - Najpierw pani dentystka zaprosi cię na fotel , a_ potem ustawi jego wysokość …_
Tokens: 1 2_______ 3___ 4________ 5______ 6__ 7_ 8____ 9 10 11___ 12____ 13__ 14______ 15

Chunks:

(ChunkerEvaluator) Sentence #858 from 00103570 from sent18

Text  : - Żeby obejrzeć dokładnie wszystkie zęby – dokończyła za tatę Maja ._
Tokens: 1 2___ 3_______ 4________ 5________ 6___ 7 8_________ 9_ 10__ 11__ 12

Chunks:
  TruePositive nam [11,11] = Maja (confidence=1.00)

(ChunkerEvaluator) Sentence #859 from 00103570 from sent19

Text  : – Fotel ma rozkładane oparcie , będę mogła wygodnie się położyć ._
Tokens: 1 2____ 3_ 4_________ 5______ 6 7___ 8____ 9_______ 10_ 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #860 from 00103570 from sent20

Text  : - Naprawdę uważnie słuchała ś !
Tokens: 1 2_______ 3______ 4_______ 5 6

Chunks:

(ChunkerEvaluator) Sentence #861 from 00103570 from sent21

Text  : – roześmiał się tato .
Tokens: 1 2________ 3__ 4___ 5

Chunks:

(ChunkerEvaluator) Sentence #862 from 00103570 from sent22

Text  : - A potem obejrzy zęby w takim specjalnym lustereczku ._
Tokens: 1 2 3____ 4______ 5___ 6 7____ 8_________ 9__________ 10

Chunks:

(ChunkerEvaluator) Sentence #863 from 00103570 from sent23

Text  : Zamknę oczy , żeby mocne światło lampy mnie nie raziło ._
Tokens: 1_____ 2___ 3 4___ 5____ 6______ 7____ 8___ 9__ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #864 from 00103570 from sent24

Text  : Pani dentystka mnie pochwali , bo ja nigdy nie zapominam o_ umyciu zębów !_
Tokens: 1___ 2________ 3___ 4_______ 5 6_ 7_ 8____ 9__ 10_______ 11 12____ 13___ 14

Chunks:

(ChunkerEvaluator) Sentence #865 from 00103570 from sent25

Text  : - Jestem pewien , że tak będzie – tato Wojtek zatrzymał się ._
Tokens: 1 2_____ 3_____ 4 5_ 6__ 7_____ 8 9___ 10____ 11_______ 12_ 13

Chunks:
  TruePositive nam [10,10] = Wojtek (confidence=1.00)

(ChunkerEvaluator) Sentence #866 from 00103570 from sent26

Text  : - Dotarli śmy na miejsce .
Tokens: 1 2______ 3__ 4_ 5______ 6

Chunks:

(ChunkerEvaluator) Sentence #867 from 00103570 from sent27

Text  : Maja przywitała się grzecznie z panią dentystką i usiadła na fotelu ._
Tokens: 1___ 2_________ 3__ 4________ 5 6____ 7________ 8 9______ 10 11____ 12

Chunks:
  FalseNegative nam [1,1] = Maja

(ChunkerEvaluator) Sentence #868 from 00103570 from sent28

Text  : Pani Maria ustawiła jego wysokość , a potem poprosiła o_ otwarcie buzi ._
Tokens: 1___ 2____ 3_______ 4___ 5_______ 6 7 8____ 9________ 10 11______ 12__ 13

Chunks:
  TruePositive nam [2,2] = Maria (confidence=0.92)

(ChunkerEvaluator) Sentence #869 from 00103570 from sent29

Text  : Maja mocno zacisnęła oczy i otworzyła szeroko buzię .
Tokens: 1___ 2____ 3________ 4___ 5 6________ 7______ 8____ 9

Chunks:
  TruePositive nam [1,1] = Maja (confidence=0.66)

(ChunkerEvaluator) Sentence #870 from 00103570 from sent30

Text  : Pani dentystka wzięła do ręki niewielkie okrągłe lusterko .
Tokens: 1___ 2________ 3_____ 4_ 5___ 6_________ 7______ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #871 from 00103570 from sent31

Text  : Dzięki niemu mogła obejrzeć zęby z każdej strony .
Tokens: 1_____ 2____ 3____ 4_______ 5___ 6 7_____ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #872 from 00103570 from sent32

Text  : - Gratuluję ci , Maju !
Tokens: 1 2________ 3_ 4 5___ 6

Chunks:
  TruePositive nam [5,5] = Maju (confidence=0.99)

(ChunkerEvaluator) Sentence #873 from 00103570 from sent33

Text  : – powiedziała po chwili .
Tokens: 1 2__________ 3_ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #874 from 00103570 from sent34

Text  : – Twoje zęby są całkowicie zdrowe , od razu widać ,_ że o_ nie dbasz ._
Tokens: 1 2____ 3___ 4_ 5_________ 6_____ 7 8_ 9___ 10___ 11 12 13 14_ 15___ 16

Chunks:

(ChunkerEvaluator) Sentence #875 from 00103570 from sent35

Text  : - A nie mówiła m !
Tokens: 1 2 3__ 4_____ 5 6

Chunks:

(ChunkerEvaluator) Sentence #876 from 00103570 from sent36

Text  : – Maja uśmiechnęła się do taty i zeskoczyła z fotela ._
Tokens: 1 2___ 3__________ 4__ 5_ 6___ 7 8_________ 9 10____ 11

Chunks:
  FalseNegative nam [2,2] = Maja

(ChunkerEvaluator) Sentence #877 from 00103570 from sent37

Text  : - Może sprawdzę przy okazji pańskie zęby ?
Tokens: 1 2___ 3_______ 4___ 5_____ 6______ 7___ 8

Chunks:

(ChunkerEvaluator) Sentence #878 from 00103570 from sent38

Text  : – zaproponowała pani Maria i zaprosiła tatę Wojtka na fotel ._
Tokens: 1 2____________ 3___ 4____ 5 6________ 7___ 8_____ 9_ 10___ 11

Chunks:
  TruePositive nam [4,4] = Maria (confidence=0.99)
  TruePositive nam [8,8] = Wojtka (confidence=1.00)

(ChunkerEvaluator) Sentence #879 from 00103570 from sent39

Text  : - Teraz ?
Tokens: 1 2____ 3

Chunks:

(ChunkerEvaluator) Sentence #880 from 00103570 from sent40

Text  : Od razu ?
Tokens: 1_ 2___ 3

Chunks:

(ChunkerEvaluator) Sentence #881 from 00103570 from sent41

Text  : – wystraszył się tato .
Tokens: 1 2_________ 3__ 4___ 5

Chunks:

(ChunkerEvaluator) Sentence #882 from 00103570 from sent42

Text  : - To bardzo przyjemne , zobaczysz – namawiała go Maja ._
Tokens: 1 2_ 3_____ 4________ 5 6________ 7 8________ 9_ 10__ 11

Chunks:
  TruePositive nam [10,10] = Maja (confidence=1.00)

(ChunkerEvaluator) Sentence #883 from 00103570 from sent43

Text  : - Maju , będziesz moją asystentką , zgoda ?
Tokens: 1 2___ 3 4_______ 5___ 6_________ 7 8____ 9

Chunks:
  TruePositive nam [2,2] = Maju (confidence=0.76)

(ChunkerEvaluator) Sentence #884 from 00103570 from sent44

Text  : Proszę otworzyć usta – pani dentystka zwróciła się do taty ._
Tokens: 1_____ 2_______ 3___ 4 5___ 6________ 7_______ 8__ 9_ 10__ 11

Chunks:

(ChunkerEvaluator) Sentence #885 from 00103570 from sent45

Text  : - Musisz otworzyć mocniej – Maja poklepała go po policzku ,_ -_ nawet ja nie widzę twoich zębów ._
Tokens: 1 2_____ 3_______ 4______ 5 6___ 7________ 8_ 9_ 10______ 11 12 13___ 14 15_ 16___ 17____ 18___ 19

Chunks:
  TruePositive nam [6,6] = Maja (confidence=0.95)

(ChunkerEvaluator) Sentence #886 from 00103570 from sent46

Text  : Tato Wojtek westchnął żałośnie i otworzył usta .
Tokens: 1___ 2_____ 3________ 4_______ 5 6_______ 7___ 8

Chunks:
  FalsePositive nam [1,2] = Tato Wojtek (confidence=0.78) (incorrect boundry)
  FalseNegative nam [2,2] = Wojtek

(ChunkerEvaluator) Sentence #887 from 00103570 from sent47

Text  : - Córeczka dba o zęby , ale u pana widzę jeden ubytek –_ powiedziała pani Maria ._
Tokens: 1 2_______ 3__ 4 5___ 6 7__ 8 9___ 10___ 11___ 12____ 13 14_________ 15__ 16___ 17

Chunks:
  TruePositive nam [16,16] = Maria (confidence=0.99)

(ChunkerEvaluator) Sentence #888 from 00103570 from sent48

Text  : – Zaraz się za niego zabierzemy .
Tokens: 1 2____ 3__ 4_ 5____ 6_________ 7

Chunks:

(ChunkerEvaluator) Sentence #889 from 00103570 from sent49

Text  : - Dzisiaj ?
Tokens: 1 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #890 from 00103570 from sent50

Text  : – panikował tato Wojtek .
Tokens: 1 2________ 3___ 4_____ 5

Chunks:
  TruePositive nam [4,4] = Wojtek (confidence=1.00)

(ChunkerEvaluator) Sentence #891 from 00103570 from sent51

Text  : – Przecież nie był em zapisany !
Tokens: 1 2_______ 3__ 4__ 5_ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #892 from 00103570 from sent52

Text  : - Na szczęście , ubytek nie jest duży – pani dentystka sięgnęła po przyrząd ,_ który przypominał trochę długopis przyczepiony do długiej gumowej rurki ._
Tokens: 1 2_ 3________ 4 5_____ 6__ 7___ 8___ 9 10__ 11_______ 12______ 13 14______ 15 16___ 17_________ 18____ 19______ 20__________ 21 22_____ 23_____ 24___ 25

Chunks:

(ChunkerEvaluator) Sentence #893 from 00103570 from sent53

Text  : - Co to za urządzenie ?
Tokens: 1 2_ 3_ 4_ 5_________ 6

Chunks:

(ChunkerEvaluator) Sentence #894 from 00103570 from sent54

Text  : – zainteresowała się Maja .
Tokens: 1 2_____________ 3__ 4___ 5

Chunks:
  TruePositive nam [4,4] = Maja (confidence=1.00)

(ChunkerEvaluator) Sentence #895 from 00103570 from sent55

Text  : - To urządzenie do borowania .
Tokens: 1 2_ 3_________ 4_ 5________ 6

Chunks:

(ChunkerEvaluator) Sentence #896 from 00103570 from sent56

Text  : Zanim założę plombę , muszę wyczyścić zęba z próchnicy ._
Tokens: 1____ 2_____ 3_____ 4 5____ 6________ 7___ 8 9________ 10

Chunks:

(ChunkerEvaluator) Sentence #897 from 00103570 from sent57

Text  : Nie przestrasz się , bo ta maszyna jest trochę głośna ._
Tokens: 1__ 2_________ 3__ 4 5_ 6_ 7______ 8___ 9_____ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #898 from 00103570 from sent58

Text  : Maja wpatrywała się , zafascynowana , jak pani Maria sprawnie wyczyściła zęba ._
Tokens: 1___ 2_________ 3__ 4 5____________ 6 7__ 8___ 9____ 10______ 11________ 12__ 13

Chunks:
  TruePositive nam [1,1] = Maja (confidence=0.52)
  TruePositive nam [9,9] = Maria (confidence=1.00)

(ChunkerEvaluator) Sentence #899 from 00103570 from sent59

Text  : - Twój tato jest bardzo dzielny .
Tokens: 1 2___ 3___ 4___ 5_____ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #900 from 00103570 from sent60

Text  : W ogóle nie narzeka na borowanie – powiedziała pani dentystka ,_ zmieniając wiertło ._
Tokens: 1 2____ 3__ 4______ 5_ 6________ 7 8__________ 9___ 10_______ 11 12________ 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #901 from 00103570 from sent61

Text  : – Panie Wojtku , ostatni raz czyszczę , a potem włożę plombę ._
Tokens: 1 2____ 3_____ 4 5______ 6__ 7_______ 8 9 10___ 11___ 12____ 13

Chunks:
  TruePositive nam [3,3] = Wojtku (confidence=0.76)

(ChunkerEvaluator) Sentence #902 from 00103570 from sent62

Text  : Tato Wojtek posłusznie otworzył usta , ale pani Maria wierciła już znacznie krócej ._
Tokens: 1___ 2_____ 3_________ 4_______ 5___ 6 7__ 8___ 9____ 10______ 11_ 12______ 13____ 14

Chunks:
  TruePositive nam [9,9] = Maria (confidence=0.97)
  FalsePositive nam [1,2] = Tato Wojtek (confidence=1.00) (incorrect boundry)
  FalseNegative nam [2,2] = Wojtek

(ChunkerEvaluator) Sentence #903 from 00103570 from sent63

Text  : - Już koniec ?
Tokens: 1 2__ 3_____ 4

Chunks:

(ChunkerEvaluator) Sentence #904 from 00103570 from sent64

Text  : – zmartwiła się Maja .
Tokens: 1 2________ 3__ 4___ 5

Chunks:
  TruePositive nam [4,4] = Maja (confidence=1.00)

(ChunkerEvaluator) Sentence #905 from 00103570 from sent65

Text  : – Nie będzie już wiertarkowania ?
Tokens: 1 2__ 3_____ 4__ 5_____________ 6

Chunks:

2017-06-14 20:02:43,501 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 50 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103581.xml
(ChunkerEvaluator) Sentence #906 from 00103581 from sent1

Text  : - Przepraszam , może pan coś zrobić z tą muzą ?_
Tokens: 1 2__________ 3 4___ 5__ 6__ 7_____ 8 9_ 10__ 11

Chunks:

(ChunkerEvaluator) Sentence #907 from 00103581 from sent2

Text  : - Adam usłyszał ludzki głos , otworzył oczy i pomarańczowo czarna okładka „_ Load ”_ przedstawiająca rozlaną krew albo ropę zamieniła się w_ bladą twarz chłopaka ze śladami czerwonej szminki na szyi ._
Tokens: 1 2___ 3_______ 4_____ 5___ 6 7_______ 8___ 9 10__________ 11____ 12_____ 13 14__ 15 16_____________ 17_____ 18__ 19__ 20__ 21_______ 22_ 23 24___ 25___ 26______ 27 28_____ 29_______ 30_____ 31 32__ 33

Chunks:
  TruePositive nam [2,2] = Adam (confidence=1.00)
  TruePositive nam [14,14] = Load (confidence=0.99)

(ChunkerEvaluator) Sentence #908 from 00103581 from sent3

Text  : - Jasne - uśmiechnął się pojednawczo .
Tokens: 1 2____ 3 4_________ 5__ 6__________ 7

Chunks:

(ChunkerEvaluator) Sentence #909 from 00103581 from sent4

Text  : - Już ściszam .
Tokens: 1 2__ 3______ 4

Chunks:

(ChunkerEvaluator) Sentence #910 from 00103581 from sent5

Text  : - A może pan puścić coś innego ?
Tokens: 1 2 3___ 4__ 5_____ 6__ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #911 from 00103581 from sent6

Text  : Ten kawałek jest jakiś taki … no nie wiem …_ jakiś taki …_
Tokens: 1__ 2______ 3___ 4____ 5___ 6 7_ 8__ 9___ 10 11___ 12__ 13

Chunks:

(ChunkerEvaluator) Sentence #912 from 00103581 from sent7

Text  : Chłopak przerwał , próbując przypomnieć sobie najwłaściwsze słowo określające dezaprobatę ,_ ale w_ dymkach komiksów ,_ brykach lektur i_ promocyjnych gazetkach ,_ które czytał ,_ nie było zbyt dużego wyboru ._
Tokens: 1______ 2_______ 3 4_______ 5__________ 6____ 7____________ 8____ 9__________ 10_________ 11 12_ 13 14_____ 15______ 16 17_____ 18____ 19 20__________ 21_______ 22 23___ 24____ 25 26_ 27__ 28__ 29____ 30____ 31

Chunks:

(ChunkerEvaluator) Sentence #913 from 00103581 from sent8

Text  : W końcu jednak znalazł :
Tokens: 1 2____ 3_____ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #914 from 00103581 from sent9

Text  : - Przypałowy !
Tokens: 1 2_________ 3

Chunks:

(ChunkerEvaluator) Sentence #915 from 00103581 from sent10

Text  : Na przykład Modern Talking .
Tokens: 1_ 2_______ 3_____ 4______ 5

Chunks:
  TruePositive nam [3,4] = Modern Talking (confidence=1.00)

(ChunkerEvaluator) Sentence #916 from 00103581 from sent11

Text  : Zna pan taką starą kapelę ?
Tokens: 1__ 2__ 3___ 4____ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #917 from 00103581 from sent12

Text  : Adam zastosował sposób wypróbowany w kontaktach z uciążliwymi klientami ._
Tokens: 1___ 2_________ 3_____ 4__________ 5 6_________ 7 8__________ 9________ 10

Chunks:
  TruePositive nam [1,1] = Adam (confidence=1.00)

(ChunkerEvaluator) Sentence #918 from 00103581 from sent13

Text  : Policzył w myślach do trzech .
Tokens: 1_______ 2 3______ 4_ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #919 from 00103581 from sent14

Text  : Nie było o co się wściekać .
Tokens: 1__ 2___ 3 4_ 5__ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #920 from 00103581 from sent15

Text  : Należało tylko przyjąć do wiadomości , że gościem pubu znowu był przedstawiciel obcego gatunku ._
Tokens: 1_______ 2____ 3______ 4_ 5_________ 6 7_ 8______ 9___ 10___ 11_ 12____________ 13____ 14_____ 15

Chunks:

(ChunkerEvaluator) Sentence #921 from 00103581 from sent16

Text  : Mnóstwo ich ostatnio przychodziło do Lucyfera , jakby nikt nie słyszał ,_ co gra się w_ tym pubie ._
Tokens: 1______ 2__ 3_______ 4___________ 5_ 6_______ 7 8____ 9___ 10_ 11_____ 12 13 14_ 15_ 16 17_ 18___ 19

Chunks:
  TruePositive nam [6,6] = Lucyfera (confidence=0.99)

(ChunkerEvaluator) Sentence #922 from 00103581 from sent17

Text  : Cóż więcej Adam mógł zrobić ?
Tokens: 1__ 2_____ 3___ 4___ 5_____ 6

Chunks:
  TruePositive nam [3,3] = Adam (confidence=1.00)

(ChunkerEvaluator) Sentence #923 from 00103581 from sent18

Text  : Wziąć przykład z Martina Lutra i wywiesić na drzwiach kartkę z_ nazwami dziewięćdziesięciu pięciu zespołów ,_ których nie słucha się w_ tym lokalu ?_
Tokens: 1____ 2_______ 3 4______ 5____ 6 7_______ 8_ 9_______ 10____ 11 12_____ 13________________ 14____ 15______ 16 17_____ 18_ 19____ 20_ 21 22_ 23____ 24

Chunks:
  TruePositive nam [4,5] = Martina Lutra (confidence=1.00)

(ChunkerEvaluator) Sentence #924 from 00103581 from sent19

Text  : Inwazja głuchych doprowadzała go do szału , ale jako barman i_ kelner z_ kilkuletnią praktyką ,_ miał wprawę w_ nawiązywaniu kontaktu z_ każdym ,_ kto znał sto słów polskich ,_ angielskich lub niemieckich ._
Tokens: 1______ 2_______ 3___________ 4_ 5_ 6____ 7 8__ 9___ 10____ 11 12____ 13 14_________ 15______ 16 17__ 18____ 19 20__________ 21______ 22 23____ 24 25_ 26__ 27_ 28__ 29______ 30 31_________ 32_ 33_________ 34

Chunks:

(ChunkerEvaluator) Sentence #925 from 00103581 from sent20

Text  : - Modern Talking przypałowy ?
Tokens: 1 2_____ 3______ 4_________ 5

Chunks:
  TruePositive nam [2,3] = Modern Talking (confidence=1.00)

(ChunkerEvaluator) Sentence #926 from 00103581 from sent21

Text  : Dlaczego przypałowy ? - zapytał przyjaźnie , jak ciekawskie dziecko ,_ któremu należy objaśnić ,_ dlaczego kwadrat ma cztery boki równe ._
Tokens: 1_______ 2_________ 3 4 5______ 6_________ 7 8__ 9_________ 10_____ 11 12_____ 13____ 14______ 15 16______ 17_____ 18 19____ 20__ 21___ 22

Chunks:

(ChunkerEvaluator) Sentence #927 from 00103581 from sent22

Text  : - No nie wiem .
Tokens: 1 2_ 3__ 4___ 5

Chunks:

(ChunkerEvaluator) Sentence #928 from 00103581 from sent23

Text  : Może to złe słowo .
Tokens: 1___ 2_ 3__ 4____ 5

Chunks:

(ChunkerEvaluator) Sentence #929 from 00103581 from sent24

Text  : Ale ta pana muza jest jakaś taka … pochlastać się przy tym można ._
Tokens: 1__ 2_ 3___ 4___ 5___ 6____ 7___ 8 9_________ 10_ 11__ 12_ 13___ 14

Chunks:

(ChunkerEvaluator) Sentence #930 from 00103581 from sent25

Text  : A moja dziewczyna ma dziś urodziny .
Tokens: 1 2___ 3_________ 4_ 5___ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #931 from 00103581 from sent26

Text  : - Rozumiem .
Tokens: 1 2_______ 3

Chunks:

(ChunkerEvaluator) Sentence #932 from 00103581 from sent27

Text  : To co proponujesz ?
Tokens: 1_ 2_ 3__________ 4

Chunks:

(ChunkerEvaluator) Sentence #933 from 00103581 from sent28

Text  : - Coś wesołego .
Tokens: 1 2__ 3_______ 4

Chunks:

(ChunkerEvaluator) Sentence #934 from 00103581 from sent29

Text  : Jak pan nie ma tłoków , to może Spice Girls …_ ._
Tokens: 1__ 2__ 3__ 4_ 5_____ 6 7_ 8___ 9____ 10___ 11 12

Chunks:
  TruePositive nam [9,10] = Spice Girls (confidence=0.62)

(ChunkerEvaluator) Sentence #935 from 00103581 from sent30

Text  : albo … - nagle chłopak stuknął się palcem w czoło ._
Tokens: 1___ 2 3 4____ 5______ 6______ 7__ 8_____ 9 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #936 from 00103581 from sent31

Text  : - Wiem !
Tokens: 1 2___ 3

Chunks:

(ChunkerEvaluator) Sentence #937 from 00103581 from sent32

Text  : Britney Spears !
Tokens: 1______ 2_____ 3

Chunks:
  TruePositive nam [1,2] = Britney Spears (confidence=1.00)

(ChunkerEvaluator) Sentence #938 from 00103581 from sent33

Text  : Ja za nią nie przepadam , ale Gośka , to znaczy się moja laska …_
Tokens: 1_ 2_ 3__ 4__ 5________ 6 7__ 8____ 9 10 11____ 12_ 13__ 14___ 15

Chunks:
  TruePositive nam [8,8] = Gośka (confidence=1.00)

(ChunkerEvaluator) Sentence #939 from 00103581 from sent34

Text  : - Rozumiem .
Tokens: 1 2_______ 3

Chunks:

(ChunkerEvaluator) Sentence #940 from 00103581 from sent35

Text  : Zaraz sprawdzę .
Tokens: 1____ 2_______ 3

Chunks:

(ChunkerEvaluator) Sentence #941 from 00103581 from sent36

Text  : Adam wyjął listę płyt i udawał , że ją skrupulatnie przegląda ._
Tokens: 1___ 2____ 3____ 4___ 5 6_____ 7 8_ 9_ 10__________ 11_______ 12

Chunks:
  TruePositive nam [1,1] = Adam (confidence=1.00)

(ChunkerEvaluator) Sentence #942 from 00103581 from sent37

Text  : Wszystkie propozycje wymienione przez chłopaka były na kartce .
Tokens: 1________ 2_________ 3_________ 4____ 5_______ 6___ 7_ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #943 from 00103581 from sent38

Text  : Szef przyniósł te płyty z domu , ale Adam trzymał je w_ osobnej szafce ,_ żeby nie dotykały innych ,_ nawet pudełkami ._
Tokens: 1___ 2________ 3_ 4____ 5 6___ 7 8__ 9___ 10_____ 11 12 13_____ 14____ 15 16__ 17_ 18______ 19____ 20 21___ 22_______ 23

Chunks:
  TruePositive nam [9,9] = Adam (confidence=1.00)

2017-06-14 20:02:43,615 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 51 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103594.xml
(ChunkerEvaluator) Sentence #944 from 00103594 from sent1

Text  : Tomasz , który urodził się już dość znaczny czas temu ,_ wiedział ,_ że każdy obserwator jego poczynań był co najmniej cztery razy młodszy ._
Tokens: 1_____ 2 3____ 4______ 5__ 6__ 7___ 8______ 9___ 10__ 11 12______ 13 14 15___ 16________ 17__ 18______ 19_ 20 21______ 22____ 23__ 24_____ 25

Chunks:
  TruePositive nam [1,1] = Tomasz (confidence=0.98)

(ChunkerEvaluator) Sentence #945 from 00103594 from sent2

Text  : I nie było by nic niezwykłego gdyby nie fakt ,_ że godnych naśladowców nie mógł znaleźć w_ żadnej grupie wiekowej społeczeństwa ._
Tokens: 1 2__ 3___ 4_ 5__ 6__________ 7____ 8__ 9___ 10 11 12_____ 13_________ 14_ 15__ 16_____ 17 18____ 19____ 20______ 21___________ 22

Chunks:

(ChunkerEvaluator) Sentence #946 from 00103594 from sent3

Text  : A oglądali go już różni : dzieci mieszkające na obrzeżach miasta ,_ starcy pracujący przy wyrębie drzewa w_ pobliskim lesie oraz garbate kobiety ze skórą zjedzoną przez starość ,_ które z_ mozołem wynosiły pokruszone skały z_ kamieniołomów ._
Tokens: 1 2_______ 3_ 4__ 5____ 6 7_____ 8__________ 9_ 10_______ 11____ 12 13____ 14_______ 15__ 16_____ 17____ 18 19_______ 20___ 21__ 22_____ 23_____ 24 25___ 26______ 27___ 28_____ 29 30___ 31 32_____ 33______ 34________ 35___ 36 37___________ 38

Chunks:

(ChunkerEvaluator) Sentence #947 from 00103594 from sent4

Text  : Kiedyś swoje zdolności zaprezentował uczonym w mieście .
Tokens: 1_____ 2____ 3________ 4____________ 5______ 6 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #948 from 00103594 from sent5

Text  : Widzieli go doświadczeni wykładowcy z siwymi włosami i okularami pokrytymi książkowym kurzem ._
Tokens: 1_______ 2_ 3___________ 4_________ 5 6_____ 7______ 8 9________ 10_______ 11________ 12____ 13

Chunks:

(ChunkerEvaluator) Sentence #949 from 00103594 from sent6

Text  : Widzieli go również przedsiębiorcy wyzyskujący wspomnianych już starców i wiekowe niewiasty ._
Tokens: 1_______ 2_ 3______ 4_____________ 5__________ 6___________ 7__ 8______ 9 10_____ 11_______ 12

Chunks:

(ChunkerEvaluator) Sentence #950 from 00103594 from sent7

Text  : Jednak ani mędrcy , ani głupcy , ani młodzi ,_ ani starzy nie wiedzieli ,_ w_ czym tkwił fenomen Tomasza ._
Tokens: 1_____ 2__ 3_____ 4 5__ 6_____ 7 8__ 9_____ 10 11_ 12____ 13_ 14_______ 15 16 17__ 18___ 19_____ 20_____ 21

Chunks:
  TruePositive nam [20,20] = Tomasza (confidence=0.99)

2017-06-14 20:02:43,654 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 52 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103746.xml
(ChunkerEvaluator) Sentence #951 from 00103746 from sent1

Text  : GROTNIKI : X Festyn Parafialny
Tokens: 1_______ 2 3 4_____ 5_________

Chunks:
  FalsePositive nam [4,5] = Festyn Parafialny (confidence=0.58) (incorrect boundry)
  FalseNegative nam [1,1] = GROTNIKI
  FalseNegative nam [3,5] = X Festyn Parafialny

(ChunkerEvaluator) Sentence #952 from 00103746 from sent2

Text  : Wystąpią m.in : Krzysztof Krawczyk , Andrzej Grabowski , Krzysztof J_ Krawczyk z_ Aleksandrowa i_ inni ._
Tokens: 1_______ 2___ 3 4________ 5_______ 6 7______ 8________ 9 10_______ 11 12______ 13 14__________ 15 16__ 17

Chunks:
  TruePositive nam [4,5] = Krzysztof Krawczyk (confidence=1.00)
  TruePositive nam [7,8] = Andrzej Grabowski (confidence=1.00)
  TruePositive nam [10,12] = Krzysztof J Krawczyk (confidence=1.00)
  TruePositive nam [14,14] = Aleksandrowa (confidence=1.00)

2017-06-14 20:02:43,662 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 53 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103872.xml
(ChunkerEvaluator) Sentence #953 from 00103872 from sent1

Text  : Cóż śnił Cis , któż zgadnie .
Tokens: 1__ 2___ 3__ 4 5___ 6______ 7

Chunks:
  TruePositive nam [3,3] = Cis (confidence=0.99)

(ChunkerEvaluator) Sentence #954 from 00103872 from sent2

Text  : Tylko noszący Myśl Przedwieczną , Jedynie Istniejący , Starszy od Drzewa ,_ Stwórca Twórcy rzec to może ._
Tokens: 1____ 2______ 3___ 4___________ 5 6______ 7_________ 8 9______ 10 11____ 12 13_____ 14____ 15__ 16 17__ 18

Chunks:
  FalsePositive nam [3,4] = Myśl Przedwieczną (confidence=0.92) (incorrect boundry)
  FalsePositive nam [6,7] = Jedynie Istniejący (confidence=0.58) (incorrect boundry)
  FalsePositive nam [9,9] = Starszy (confidence=0.71) (incorrect boundry)
  FalsePositive nam [11,11] = Drzewa (confidence=0.84) (incorrect boundry)
  FalsePositive nam [13,14] = Stwórca Twórcy (confidence=0.91) (incorrect boundry)
  FalseNegative nam [13,13] = Stwórca
  FalseNegative nam [14,14] = Twórcy

(ChunkerEvaluator) Sentence #955 from 00103872 from sent3

Text  : Spoglądał na latorośl swoich myśli , na płód swojej woli ,_ owoc pierwszego zasianego ziarenka ,_ na ogromne Drzewo Świata ,_ Dziecko swe Cisowe i_ uśmiechał się ._
Tokens: 1________ 2_ 3_______ 4_____ 5____ 6 7_ 8___ 9_____ 10__ 11 12__ 13________ 14_______ 15______ 16 17 18_____ 19____ 20____ 21 22_____ 23_ 24____ 25 26_______ 27_ 28

Chunks:

(ChunkerEvaluator) Sentence #956 from 00103872 from sent4

Text  : Odwieczny wsłuchał się bowiem w pierwszą symfonię świata , w_ deszcze ,_ pulsowanie soków i_ chrapanie Cisu i_ napełniło go to na nowo pokojem ._
Tokens: 1________ 2_______ 3__ 4_____ 5 6_______ 7_______ 8_____ 9 10 11_____ 12 13________ 14___ 15 16_______ 17__ 18 19_______ 20 21 22 23__ 24_____ 25

Chunks:
  TruePositive nam [17,17] = Cisu (confidence=0.96)

(ChunkerEvaluator) Sentence #957 from 00103872 from sent5

Text  : A gdy oswoił myśl swoją z delikatnym światłem kaganków świata ,_ wtedy zamyślił ich opad ._
Tokens: 1 2__ 3_____ 4___ 5____ 6 7_________ 8_______ 9_______ 10____ 11 12___ 13______ 14_ 15__ 16

Chunks:

(ChunkerEvaluator) Sentence #958 from 00103872 from sent6

Text  : Srebro spłynęło z igiełek wiecznie zielonych w ciemność u korzeni Kolumny Świata ._
Tokens: 1_____ 2_______ 3 4______ 5_______ 6________ 7 8_______ 9 10_____ 11_____ 12____ 13

Chunks:
  FalsePositive nam [11,12] = Kolumny Świata (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #959 from 00103872 from sent7

Text  : Ze spadłych owocni zaczęły wyrastać wyniosłe drzewa .
Tokens: 1_ 2_______ 3_____ 4______ 5_______ 6_______ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #960 from 00103872 from sent8

Text  : Tak urodził się srebrny ogród bukowy .
Tokens: 1__ 2______ 3__ 4______ 5____ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #961 from 00103872 from sent9

Text  : Nie było jeszcze liści na gałązkach , w wydartej Pustce przestrzeni rozrosła się puszcza bukowa ,_ lecz ni runa zielonego ,_ ni ziemi ,_ ni istot żywych nie było ._
Tokens: 1__ 2___ 3______ 4____ 5_ 6________ 7 8 9_______ 10____ 11_________ 12______ 13_ 14_____ 15____ 16 17__ 18 19__ 20_______ 21 22 23___ 24 25 26___ 27____ 28_ 29__ 30

Chunks:

(ChunkerEvaluator) Sentence #962 from 00103872 from sent10

Text  : Ciemność jedna znów zapadła nad nowo stworzonym światem , gdyż pierwsze lampy świata ,_ srebrne szyszki cisowe ,_ zrodziły z_ siebie ciemne i_ bezrozumne kolumny buków ._
Tokens: 1_______ 2____ 3___ 4______ 5__ 6___ 7_________ 8______ 9 10__ 11______ 12___ 13____ 14 15_____ 16_____ 17____ 18 19______ 20 21____ 22____ 23 24________ 25_____ 26___ 27

Chunks:

(ChunkerEvaluator) Sentence #963 from 00103872 from sent11

Text  : To była ciemność druga , a utajone w tej ciemności wtórej czekały swojej chwili kolumny srebra ._
Tokens: 1_ 2___ 3_______ 4____ 5 6 7______ 8 9__ 10_______ 11____ 12_____ 13____ 14____ 15_____ 16____ 17

Chunks:

2017-06-14 20:02:43,719 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 54 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103875.xml
(ChunkerEvaluator) Sentence #964 from 00103875 from sent1

Text  : Śpiewają u nas pieśni potężne , śpiew mocy wzbiera w_ piersi wyznawców ._
Tokens: 1_______ 2 3__ 4_____ 5______ 6 7____ 8___ 9______ 10 11____ 12_______ 13

Chunks:

(ChunkerEvaluator) Sentence #965 from 00103875 from sent2

Text  : Śpiewają o świata przyczynie .
Tokens: 1_______ 2 3_____ 4_________ 5

Chunks:

(ChunkerEvaluator) Sentence #966 from 00103875 from sent3

Text  : O lesie bukowym u zarania czasu .
Tokens: 1 2____ 3______ 4 5______ 6____ 7

Chunks:

(ChunkerEvaluator) Sentence #967 from 00103875 from sent4

Text  : Po światłach srebrnych przyszły lampy czerwieni .
Tokens: 1_ 2________ 3________ 4_______ 5____ 6________ 7

Chunks:

(ChunkerEvaluator) Sentence #968 from 00103875 from sent5

Text  : Latarnie nocy rozbłysły na Drzewie Życia .
Tokens: 1_______ 2___ 3________ 4_ 5______ 6____ 7

Chunks:

(ChunkerEvaluator) Sentence #969 from 00103875 from sent6

Text  : Nie spodziewał się świat świateł nowych po opadzie srebra starych ogni ._
Tokens: 1__ 2_________ 3__ 4____ 5______ 6_____ 7_ 8______ 9_____ 10_____ 11__ 12

Chunks:

(ChunkerEvaluator) Sentence #970 from 00103875 from sent7

Text  : Nie spodziewał się mrok drugi końca panowania .
Tokens: 1__ 2_________ 3__ 4___ 5____ 6____ 7________ 8

Chunks:

(ChunkerEvaluator) Sentence #971 from 00103875 from sent8

Text  : Gdy zabłysły świece świata , liście już tam były ._
Tokens: 1__ 2_______ 3_____ 4_____ 5 6_____ 7__ 8__ 9___ 10

Chunks:

(ChunkerEvaluator) Sentence #972 from 00103875 from sent9

Text  : Srebrem srebrzyste ociekały rosą .
Tokens: 1______ 2_________ 3_______ 4___ 5

Chunks:

(ChunkerEvaluator) Sentence #973 from 00103875 from sent10

Text  : Każde z tysiąca drzew bukowych tysiącem piór pokryte szumiało na pradawnym wietrze ._
Tokens: 1____ 2 3______ 4____ 5_______ 6_______ 7___ 8______ 9_______ 10 11_______ 12_____ 13

Chunks:

(ChunkerEvaluator) Sentence #974 from 00103875 from sent11

Text  : Przechadzał się Stwórca po ogrodzie zasłuchany w poszum .
Tokens: 1__________ 2__ 3______ 4_ 5_______ 6_________ 7 8_____ 9

Chunks:
  TruePositive nam [3,3] = Stwórca (confidence=0.95)

(ChunkerEvaluator) Sentence #975 from 00103875 from sent12

Text  : Ucieszony , że Drzewo Życia , Dziecię Cisowe , płodne jest i_ rozległe ._
Tokens: 1________ 2 3_ 4_____ 5____ 6 7______ 8_____ 9 10____ 11__ 12 13______ 14

Chunks:
  FalsePositive nam [7,8] = Dziecię Cisowe (confidence=0.98) (incorrect boundry)

(ChunkerEvaluator) Sentence #976 from 00103875 from sent13

Text  : Gdy zabłysły czerwone ogniska , liście życia właśnie rozkwitały z_ pąków ._
Tokens: 1__ 2_______ 3_______ 4______ 5 6_____ 7____ 8______ 9_________ 10 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #977 from 00103875 from sent14

Text  : Srebrem ciężkie ociekały mgłą .
Tokens: 1______ 2______ 3_______ 4___ 5

Chunks:

(ChunkerEvaluator) Sentence #978 from 00103875 from sent15

Text  : Każdy z niezliczonych bukowych olbrzymów rodził niezliczone rzesze stworzeń ._
Tokens: 1____ 2 3____________ 4_______ 5________ 6_____ 7__________ 8_____ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #979 from 00103875 from sent16

Text  : Stwórca uśmiechał się do Twórcy .
Tokens: 1______ 2________ 3__ 4_ 5_____ 6

Chunks:
  TruePositive nam [5,5] = Twórcy (confidence=0.81)
  FalseNegative nam [1,1] = Stwórca

(ChunkerEvaluator) Sentence #980 from 00103875 from sent17

Text  : Ogrodnik do Cisowego Synka rzekł nikomu nieznane słowa .
Tokens: 1_______ 2_ 3_______ 4____ 5____ 6_____ 7_______ 8____ 9

Chunks:
  FalsePositive nam [3,4] = Cisowego Synka (confidence=0.98) (incorrect boundry)

(ChunkerEvaluator) Sentence #981 from 00103875 from sent18

Text  : Prawdę tę poznała m , ja , wieszcząca dziwy świata ,_ Wiedma ,_ gdy puszczy lat temu dziewięć i_ trzy obroty księżyca poświęcona ,_ na drzewie wyniosłym od podziemi do gwiazdy świata zawisła m_ ._
Tokens: 1_____ 2_ 3______ 4 5 6_ 7 8_________ 9____ 10____ 11 12____ 13 14_ 15_____ 16_ 17__ 18______ 19 20__ 21____ 22______ 23________ 24 25 26_____ 27_______ 28 29______ 30 31_____ 32____ 33_____ 34 35

Chunks:
  TruePositive nam [12,12] = Wiedma (confidence=0.95)

(ChunkerEvaluator) Sentence #982 from 00103875 from sent19

Text  : Wpadła m w zachwyt i drżenie , tam objawiły mi się cuda ,_ które odtąd śpiewam w_ pieśni ._
Tokens: 1_____ 2 3 4______ 5 6______ 7 8__ 9_______ 10 11_ 12__ 13 14___ 15___ 16_____ 17 18____ 19

Chunks:

(ChunkerEvaluator) Sentence #983 from 00103875 from sent20

Text  : Ja , Wiedma , widziała m to wszystko : Gdy zabłysły księżyce cisowe –_ liście już tam były ._
Tokens: 1_ 2 3_____ 4 5_______ 6 7_ 8_______ 9 10_ 11______ 12______ 13____ 14 15____ 16_ 17_ 18__ 19

Chunks:
  TruePositive nam [3,3] = Wiedma (confidence=1.00)

(ChunkerEvaluator) Sentence #984 from 00103875 from sent21

Text  : Gdzie przeszedł Cisowy Pan , rozwijało się srebro .
Tokens: 1____ 2________ 3_____ 4__ 5 6________ 7__ 8_____ 9

Chunks:
  FalsePositive nam [3,4] = Cisowy Pan (confidence=0.97) (incorrect boundry)

2017-06-14 20:02:43,785 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 55 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103895.xml
(ChunkerEvaluator) Sentence #985 from 00103895 from sent1

Text  : Składniki :
Tokens: 1________ 2

Chunks:

(ChunkerEvaluator) Sentence #986 from 00103895 from sent2

Text  : 1 orzech kokosu
Tokens: 1 2_____ 3_____

Chunks:

(ChunkerEvaluator) Sentence #987 from 00103895 from sent3

Text  : 1 litr + 1 szklanka mleka
Tokens: 1 2___ 3 4 5_______ 6____

Chunks:

(ChunkerEvaluator) Sentence #988 from 00103895 from sent4

Text  : ½ kg paneli , pociętej w kawałki
Tokens: 1 2_ 3_____ 4 5_______ 6 7______

Chunks:

(ChunkerEvaluator) Sentence #989 from 00103895 from sent5

Text  : 2 łyżki żytniej mąki
Tokens: 1 2____ 3______ 4___

Chunks:

(ChunkerEvaluator) Sentence #990 from 00103895 from sent6

Text  : 2 łyżki masła
Tokens: 1 2____ 3____

Chunks:

(ChunkerEvaluator) Sentence #991 from 00103895 from sent7

Text  : Przygotowanie :
Tokens: 1____________ 2

Chunks:

(ChunkerEvaluator) Sentence #992 from 00103895 from sent8

Text  : Z orzecha kokosu wylać mleko .
Tokens: 1 2______ 3_____ 4____ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #993 from 00103895 from sent9

Text  : Podgrzać piekarnik do 350 º i wysmarować tłuszczem blachę ,_ na której będziemy przygotowywać ciastka ._
Tokens: 1_______ 2________ 3_ 4__ 5 6 7_________ 8________ 9_____ 10 11 12____ 13______ 14___________ 15_____ 16

Chunks:

(ChunkerEvaluator) Sentence #994 from 00103895 from sent10

Text  : Kokos umieścić w piekarniku do momentu kiedy zacznie pękać ._
Tokens: 1____ 2_______ 3 4_________ 5_ 6______ 7____ 8______ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #995 from 00103895 from sent11

Text  : Wyjąć go , obrać i utrzeć .
Tokens: 1____ 2_ 3 4____ 5 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #996 from 00103895 from sent12

Text  : Na dużej patelni ułożyć starty kokos i litr mleka ._
Tokens: 1_ 2____ 3______ 4_____ 5_____ 6____ 7 8___ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #997 from 00103895 from sent13

Text  : Dodać panelę i gotować aż do jej rozpuszczenia .
Tokens: 1____ 2_____ 3 4______ 5_ 6_ 7__ 8____________ 9

Chunks:

(ChunkerEvaluator) Sentence #998 from 00103895 from sent14

Text  : Mąkę rozmieszać z pozostałą szklanką mleka .
Tokens: 1___ 2_________ 3 4________ 5_______ 6____ 7

Chunks:

(ChunkerEvaluator) Sentence #999 from 00103895 from sent15

Text  : Do mieszaniny na patelni dodać masło i mąkę z mlekiem ._
Tokens: 1_ 2_________ 3_ 4______ 5____ 6____ 7 8___ 9 10_____ 11

Chunks:

(ChunkerEvaluator) Sentence #1000 from 00103895 from sent16

Text  : Wylać masę na blachę i pozostawić do ostygnięcia .
Tokens: 1____ 2___ 3_ 4_____ 5 6_________ 7_ 8__________ 9

Chunks:

(ChunkerEvaluator) Sentence #1001 from 00103895 from sent17

Text  : Kiedy jest już chłodna , pociąć ją w kwadraty ._
Tokens: 1____ 2___ 3__ 4______ 5 6_____ 7_ 8 9_______ 10

Chunks:

2017-06-14 20:02:43,822 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 56 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103900.xml
(ChunkerEvaluator) Sentence #1002 from 00103900 from sent1

Text  : Widząc doskonałe warunki klimatyczne , hodowcy bydła przekształcili się w_ plantatorów kwiatów ,_ stawiając Kolumbię na pierwszym miejscu na świecie w_ eksporcie goździków i_ na drugim miejscu ,_ po Holandii ,_ w_ produkcji róż ._
Tokens: 1_____ 2________ 3______ 4__________ 5 6______ 7____ 8_____________ 9__ 10 11_________ 12_____ 13 14_______ 15______ 16 17_______ 18_____ 19 20_____ 21 22_______ 23_______ 24 25 26____ 27_____ 28 29 30______ 31 32 33_______ 34_ 35

Chunks:
  TruePositive nam [15,15] = Kolumbię (confidence=1.00)
  TruePositive nam [30,30] = Holandii (confidence=1.00)

(ChunkerEvaluator) Sentence #1003 from 00103900 from sent2

Text  : Kolumbijski sektor kwiatowy zatrudnia aktualnie około 160 . 000 osób ,_ z_ czego 65 %_ stanowią kobiety o_ średniej wieku :_ 32 lat ._
Tokens: 1__________ 2_____ 3_______ 4________ 5________ 6____ 7__ 8 9__ 10__ 11 12 13___ 14 15 16______ 17_____ 18 19______ 20___ 21 22 23_ 24

Chunks:

(ChunkerEvaluator) Sentence #1004 from 00103900 from sent3

Text  : Spora większość to kobiety bardzo ubogie , mieszkające w zapomnianych dzielnicach ,_ nie mające żadnych oszczędności ,_ często chore ze wzglądu na stały kontakt z_ nawozami sztucznymi i_ chemikaliami ,_ cierpiące na bóle głowy ,_ skrzywienia krągosłupa i_ problemy ze stawami ,_ będące wynikiem pozycji w_ czasie wielogodzinnej pracy na plantacjach i_ przy klasyfikacji kwiatów ._
Tokens: 1____ 2________ 3_ 4______ 5_____ 6_____ 7 8__________ 9 10__________ 11_________ 12 13_ 14____ 15_____ 16__________ 17 18____ 19___ 20 21_____ 22 23___ 24_____ 25 26______ 27________ 28 29__________ 30 31_______ 32 33__ 34___ 35 36_________ 37________ 38 39______ 40 41_____ 42 43____ 44______ 45_____ 46 47____ 48____________ 49___ 50 51_________ 52 53__ 54__________ 55_____ 56

Chunks:

(ChunkerEvaluator) Sentence #1005 from 00103900 from sent4

Text  : Kobiety te , to najczęściej samotne matki lub rozwódki utrzymujące swoje wielodzietne rodziny ,_ nierzadko złożone z_ trzech pokoleń ,_ dla których jedynym źródłem utrzymania jest ich wynagrodzenie ._
Tokens: 1______ 2_ 3 4_ 5__________ 6______ 7____ 8__ 9_______ 10_________ 11___ 12__________ 13_____ 14 15_______ 16_____ 17 18____ 19_____ 20 21_ 22_____ 23_____ 24_____ 25________ 26__ 27_ 28___________ 29

Chunks:

(ChunkerEvaluator) Sentence #1006 from 00103900 from sent5

Text  : Od momentu posadzenia , kwiaty rosną w doskonale przygotowanych warunkach ._
Tokens: 1_ 2______ 3_________ 4 5_____ 6____ 7 8________ 9_____________ 10_______ 11

Chunks:

(ChunkerEvaluator) Sentence #1007 from 00103900 from sent6

Text  : O konkretnej godzinie określonego dnia róże zostają ścięte i przeniesione przez silne ramiona do pojemników wypełnionych wodą ._
Tokens: 1 2_________ 3_______ 4__________ 5___ 6___ 7______ 8_____ 9 10__________ 11___ 12___ 13_____ 14 15________ 16__________ 17__ 18

Chunks:

(ChunkerEvaluator) Sentence #1008 from 00103900 from sent7

Text  : Następnie , w dużej i bardzo wilgotnej sali , określanej jako „_ miejsce selekcji ”_ ,_ dziesiątki kobiet sprawdzają ,_ czy kwiaty nie posiadają insektów lub jakichkolwiek chorób ._
Tokens: 1________ 2 3 4____ 5 6_____ 7________ 8___ 9 10________ 11__ 12 13_____ 14______ 15 16 17________ 18____ 19________ 20 21_ 22____ 23_ 24_______ 25______ 26_ 27___________ 28____ 29

Chunks:

(ChunkerEvaluator) Sentence #1009 from 00103900 from sent8

Text  : Później , obcinają łodygi do określonej długości , oczyszczają je z_ kolców i_ liści w_ dolnej części ,_ klasyfikują łodygę po łodydze ,_ liczą kwiaty i_ owijają je w_ specjalną folię ,_ aby następnie przenieść je do kartonowych pudeł ,_ w_ których zawiezione zostaną w_ chłodniach ciężarówek ,_ w_ temperaturze poniżej 10 stopni Celsjusza ,_ do specjalnych komór na lotnisku ._
Tokens: 1______ 2 3_______ 4_____ 5_ 6_________ 7_______ 8 9__________ 10 11 12____ 13 14___ 15 16____ 17____ 18 19_________ 20____ 21 22_____ 23 24___ 25____ 26 27_____ 28 29 30_______ 31___ 32 33_ 34_______ 35_______ 36 37 38_________ 39___ 40 41 42_____ 43________ 44_____ 45 46________ 47________ 48 49 50__________ 51_____ 52 53____ 54_______ 55 56 57_________ 58___ 59 60______ 61

Chunks:
  FalsePositive nam [54,54] = Celsjusza (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #1010 from 00103900 from sent9

Text  : Dziennie przez ręce tych pracujących kobiet , które prawie nigdy się nie uśmiechają ,_ przechodzi około 100 ._ 000 sztuk kwiatów ._
Tokens: 1_______ 2____ 3___ 4___ 5__________ 6_____ 7 8____ 9_____ 10___ 11_ 12_ 13________ 14 15________ 16___ 17_ 18 19_ 20___ 21_____ 22

Chunks:

(ChunkerEvaluator) Sentence #1011 from 00103900 from sent10

Text  : Praca na plantacjach kwiatów przebiega w warunkach bardzo trudnych :_ w_ zimnie ,_ wilgoci ,_ braku światła ._
Tokens: 1____ 2_ 3__________ 4______ 5________ 6 7________ 8_____ 9_______ 10 11 12____ 13 14_____ 15 16___ 17_____ 18

Chunks:

(ChunkerEvaluator) Sentence #1012 from 00103900 from sent11

Text  : To również praca niezwykle monotonna polegająca na chwyceniu łodygi ,_ obcięciu kolców i_ liści ,_ policzeniu kwiatów i_ zapakowaniu ich w_ kartony ,_ które następnego dnia wyruszą w_ podróż do odległego kraju :_ Stanów Zjednoczonych ,_ Holandii ,_ Japonii ._ ._ ._
Tokens: 1_ 2______ 3____ 4________ 5________ 6_________ 7_ 8________ 9_____ 10 11______ 12____ 13 14___ 15 16________ 17_____ 18 19_________ 20_ 21 22_____ 23 24___ 25________ 26__ 27_____ 28 29____ 30 31_______ 32___ 33 34____ 35___________ 36 37______ 38 39_____ 40 41 42

Chunks:
  TruePositive nam [34,35] = Stanów Zjednoczonych (confidence=1.00)
  TruePositive nam [37,37] = Holandii (confidence=1.00)
  TruePositive nam [39,39] = Japonii (confidence=1.00)

(ChunkerEvaluator) Sentence #1013 from 00103900 from sent12

Text  : Kwiaty wyjadą , a kobiety z plantacji pozostaną tutaj ,_ na bogotańskiej sawannie ,_ marząc o_ lepszym świecie ,_ być może ładniejszym ,_ mniej zimnym ,_ ale na pewno nie pachnącym różami ._
Tokens: 1_____ 2_____ 3 4 5______ 6 7________ 8________ 9____ 10 11 12__________ 13______ 14 15____ 16 17_____ 18_____ 19 20_ 21__ 22_________ 23 24___ 25____ 26 27_ 28 29___ 30_ 31_______ 32____ 33

Chunks:

2017-06-14 20:02:43,926 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 57 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103915.xml
(ChunkerEvaluator) Sentence #1014 from 00103915 from sent1

Text  : Wszystko rozpoczęło się 12 października 1492 roku , kiedy to kilka europejskich żaglowców zagubionych wśród ogromnego oceanu ,_ ujrzało nowy ląd ._
Tokens: 1_______ 2_________ 3__ 4_ 5___________ 6___ 7___ 8 9____ 10 11___ 12__________ 13_______ 14_________ 15___ 16_______ 17____ 18 19_____ 20__ 21_ 22

Chunks:

(ChunkerEvaluator) Sentence #1015 from 00103915 from sent2

Text  : Spotkanie Europy i Ameryki stało sie najistotniejszym faktem w nowożytnej historii Ameryki Łacińskiej ._
Tokens: 1________ 2_____ 3 4______ 5____ 6__ 7_______________ 8_____ 9 10________ 11______ 12_____ 13________ 14

Chunks:
  TruePositive nam [4,4] = Ameryki (confidence=0.99)
  TruePositive nam [12,13] = Ameryki Łacińskiej (confidence=1.00)
  FalsePositive nam [1,2] = Spotkanie Europy (confidence=0.90) (incorrect boundry)
  FalseNegative nam [2,2] = Europy

(ChunkerEvaluator) Sentence #1016 from 00103915 from sent3

Text  : Z konfrontacji tych dwóch jakże różniących się cywilizacji , które zupełnie się nie znały i_ które do dnia dzisiejszego nie zdołały się zrozumieć ,_ narodził się Nowy Świat ,_ ze wszystkimi swymi odcieniami ._
Tokens: 1 2___________ 3___ 4____ 5____ 6_________ 7__ 8__________ 9 10___ 11______ 12_ 13_ 14___ 15 16___ 17 18__ 19__________ 20_ 21_____ 22_ 23_______ 24 25______ 26_ 27__ 28___ 29 30 31________ 32___ 33________ 34

Chunks:
  TruePositive nam [27,28] = Nowy Świat (confidence=1.00)

(ChunkerEvaluator) Sentence #1017 from 00103915 from sent4

Text  : Ta gigantyczna mieszanka zmieniła Amerykę w kontynent wszystkich ras ._
Tokens: 1_ 2__________ 3________ 4_______ 5______ 6 7________ 8_________ 9__ 10

Chunks:
  TruePositive nam [5,5] = Amerykę (confidence=0.98)

(ChunkerEvaluator) Sentence #1018 from 00103915 from sent5

Text  : Ze wszystkich współistniejących różnic fizycznych ( Indianie , Europejczycy ,_ murzyńscy niewolnicy ,_ Chińczycy ,_ Arabowie )_ ,_ kulturowych ,_ politycznych i_ religijnych ,_ które spotykały się na tym terenie w_ ciągu wieków ,_ powstało wieloetniczne i_ wielokulturowe państwo –_ Kolumbia ._
Tokens: 1_ 2_________ 3________________ 4_____ 5_________ 6 7_______ 8 9___________ 10 11_______ 12________ 13 14_______ 15 16______ 17 18 19_________ 20 21__________ 22 23_________ 24 25___ 26_______ 27_ 28 29_ 30_____ 31 32___ 33____ 34 35______ 36___________ 37 38____________ 39_____ 40 41______ 42

Chunks:
  TruePositive nam [7,7] = Indianie (confidence=1.00)
  TruePositive nam [9,9] = Europejczycy (confidence=1.00)
  TruePositive nam [14,14] = Chińczycy (confidence=1.00)
  TruePositive nam [16,16] = Arabowie (confidence=1.00)
  TruePositive nam [41,41] = Kolumbia (confidence=0.93)

(ChunkerEvaluator) Sentence #1019 from 00103915 from sent6

Text  : Do nas należy zaakceptowanie tej mieszanki i pokochanie jej ._
Tokens: 1_ 2__ 3_____ 4_____________ 5__ 6________ 7 8_________ 9__ 10

Chunks:

(ChunkerEvaluator) Sentence #1020 from 00103915 from sent7

Text  : Ona jest bowiem prawdziwym bogactwem Kolumbii .
Tokens: 1__ 2___ 3_____ 4_________ 5________ 6_______ 7

Chunks:
  TruePositive nam [6,6] = Kolumbii (confidence=1.00)

2017-06-14 20:02:43,964 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 58 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103937.xml
(ChunkerEvaluator) Sentence #1021 from 00103937 from sent1

Text  : Dwa dni temu w Warszawie odbyły się dwie konferencje związane ze społeczeństwem cyfrowym –_ „_ Siećpospolita ”_ w_ Kancelarii Prezydenta oraz organizowana przez FWiOO „_ Rola innowacji projektów open source w_ polskiej gospodarce ”_ ._
Tokens: 1__ 2__ 3___ 4 5________ 6_____ 7__ 8___ 9__________ 10______ 11 12____________ 13______ 14 15 16___________ 17 18 19________ 20________ 21__ 22__________ 23___ 24___ 25 26__ 27_______ 28_______ 29__ 30____ 31 32______ 33________ 34 35

Chunks:
  TruePositive nam [5,5] = Warszawie (confidence=1.00)
  TruePositive nam [16,16] = Siećpospolita (confidence=0.99)
  TruePositive nam [19,20] = Kancelarii Prezydenta (confidence=1.00)
  TruePositive nam [24,24] = FWiOO (confidence=0.99)
  FalseNegative nam [26,33] = Rola innowacji projektów open source w polskiej gospodarce

(ChunkerEvaluator) Sentence #1022 from 00103937 from sent2

Text  : Mogł em wziąć udział tylko w pierwszej z nich –_ niestety ,_ bo i_ druga zapowiadała się ciekawie ._
Tokens: 1___ 2_ 3____ 4_____ 5____ 6 7________ 8 9___ 10 11______ 12 13 14 15___ 16_________ 17_ 18______ 19

Chunks:

(ChunkerEvaluator) Sentence #1023 from 00103937 from sent3

Text  : Ale temat open source pojawił się także na konferencji u_ Prezydenta ,_ dzięki pytaniu zadanemu przez internautę ,_ który zapytał Prezydenta ,_ czy podejmie on kroki zmierzające do wykorzystania otwartego i_ bezpłatnego oprogramowania w_ instytucjach publicznych ._
Tokens: 1__ 2____ 3___ 4_____ 5______ 6__ 7____ 8_ 9__________ 10 11________ 12 13____ 14_____ 15______ 16___ 17________ 18 19___ 20_____ 21________ 22 23_ 24______ 25 26___ 27_________ 28 29___________ 30_______ 31 32_________ 33____________ 34 35__________ 36_________ 37

Chunks:
  TruePositive nam [17,17] = internautę (confidence=0.64)

(ChunkerEvaluator) Sentence #1024 from 00103937 from sent4

Text  : O komentarz i odpowiedź został poproszony wiceprezes PTI Wiesław Paluszyński –_ i_ to jego wypowiedź sprowokowała mnie do tego wpisu ._
Tokens: 1 2________ 3 4________ 5_____ 6_________ 7_________ 8__ 9______ 10_________ 11 12 13 14__ 15_______ 16__________ 17__ 18 19__ 20___ 21

Chunks:
  FalsePositive nam [8,10] = PTI Wiesław Paluszyński (confidence=1.00) (incorrect boundry)
  FalseNegative nam [8,8] = PTI
  FalseNegative nam [9,10] = Wiesław Paluszyński

(ChunkerEvaluator) Sentence #1025 from 00103937 from sent5

Text  : Bowiem była to odpowiedź rozsądna , ale jednocześnie bardzo zachowawcza ._
Tokens: 1_____ 2___ 3_ 4________ 5_______ 6 7__ 8___________ 9_____ 10_________ 11

Chunks:

(ChunkerEvaluator) Sentence #1026 from 00103937 from sent6

Text  : Stawiająca pytania , gdy odpowiedzi na nie są już właściwie znane ._
Tokens: 1_________ 2______ 3 4__ 5_________ 6_ 7__ 8_ 9__ 10_______ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #1027 from 00103937 from sent7

Text  : Wiceprezes Pałuszyński odpowiedział bowiem , że instytucje publiczne nie mogą mieć przyjętych z_ góry prefrencji dla otwartego oprogramowania ._
Tokens: 1_________ 2__________ 3___________ 4_____ 5 6_ 7_________ 8________ 9__ 10__ 11__ 12________ 13 14__ 15________ 16_ 17_______ 18____________ 19

Chunks:
  TruePositive nam [2,2] = Pałuszyński (confidence=0.68)

(ChunkerEvaluator) Sentence #1028 from 00103937 from sent8

Text  : Wspomniał o kwestiach bezpieczeństwa – sugerując jak rozumiem , że model open source może się kłócić z_ odpowiednimi wymogami ._
Tokens: 1________ 2 3________ 4_____________ 5 6________ 7__ 8_______ 9 10 11___ 12__ 13____ 14__ 15_ 16____ 17 18__________ 19______ 20

Chunks:

(ChunkerEvaluator) Sentence #1029 from 00103937 from sent9

Text  : Wreszcie wspomniał , że nie ma niczego za darmo ._
Tokens: 1_______ 2________ 3 4_ 5__ 6_ 7______ 8_ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #1030 from 00103937 from sent10

Text  : Przypomniały mi się bardzo podobne wypowiedzi , wygłaszane przez czołowych polskich ekspertów od systemu nauki w_ odniesieniu do Otwartego Dostępu (_ do publikacji naukowych )_ –_ w_ przypadku którego też pojawiają się –_ rytualne już dla mnie –_ wątpliwości ._
Tokens: 1___________ 2_ 3__ 4_____ 5______ 6_________ 7 8_________ 9____ 10_______ 11______ 12_______ 13 14_____ 15___ 16 17_________ 18 19_______ 20_____ 21 22 23________ 24_______ 25 26 27 28_______ 29_____ 30_ 31_______ 32_ 33 34______ 35_ 36_ 37__ 38 39_________ 40

Chunks:
  FalsePositive nam [19,20] = Otwartego Dostępu (confidence=0.95) (incorrect boundry)

(ChunkerEvaluator) Sentence #1031 from 00103937 from sent11

Text  : W tym przypadku dotyczące jakości otwartych publikacji oraz niepewnych kwestii finansowych ._
Tokens: 1 2__ 3________ 4________ 5______ 6________ 7_________ 8___ 9_________ 10_____ 11_________ 12

Chunks:

(ChunkerEvaluator) Sentence #1032 from 00103937 from sent12

Text  : W obu wypadkach problem polega na tym , że odpowiedzi na stawiane pytania są dobrze znane ._
Tokens: 1 2__ 3________ 4______ 5_____ 6_ 7__ 8 9_ 10________ 11 12______ 13_____ 14 15____ 16___ 17

Chunks:

(ChunkerEvaluator) Sentence #1033 from 00103937 from sent13

Text  : Nie jest tak , że open source z gruntu nie jest bezpieczne –_ inaczej Google nie stawiał by całej swojej infrastruktury na systemach linkusowych ._
Tokens: 1__ 2___ 3__ 4 5_ 6___ 7_____ 8 9_____ 10_ 11__ 12________ 13 14_____ 15____ 16_ 17_____ 18 19___ 20____ 21____________ 22 23_______ 24_________ 25

Chunks:
  TruePositive nam [15,15] = Google (confidence=1.00)

(ChunkerEvaluator) Sentence #1034 from 00103937 from sent14

Text  : Dziwi mnie też równanie open source z darmową produkcją –_ gdy powinno już być jasne ,_ że chodzi o_ sposób udostępniania kodu –_ a_ kwestia jego produkcji jest sprawą drugorzędną ._
Tokens: 1____ 2___ 3__ 4_______ 5___ 6_____ 7 8______ 9________ 10 11_ 12_____ 13_ 14_ 15___ 16 17 18____ 19 20____ 21___________ 22__ 23 24 25_____ 26__ 27_______ 28__ 29____ 30_________ 31

Chunks:

(ChunkerEvaluator) Sentence #1035 from 00103937 from sent15

Text  : W pewnych wypadkach sprawdzają się modele oparte na pracy za darmo ,_ ale równie często otwarty kod piszą dobrze opłacani korporacyjni koderzy ._
Tokens: 1 2______ 3________ 4_________ 5__ 6_____ 7_____ 8_ 9____ 10 11___ 12 13_ 14____ 15____ 16_____ 17_ 18___ 19____ 20______ 21__________ 22_____ 23

Chunks:

2017-06-14 20:02:44,054 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 59 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103938.xml
(ChunkerEvaluator) Sentence #1036 from 00103938 from sent1

Text  : Pisali śmy niedawno z Mirkiem tekst o roli instytucji publicznych względem kultury 2_ ._ 0_ ,_ i_ jednym z_ kluczowych wątków była kwestia potrzeby znalezienia aktora zdolnego regulować ,_ uzupełniać ,_ może nawet pilnować komercyjnych pośredników ze świata Web 2_ ._ 0_ ._
Tokens: 1_____ 2__ 3_______ 4 5______ 6____ 7 8___ 9_________ 10_________ 11______ 12_____ 13 14 15 16 17 18____ 19 20________ 21____ 22__ 23_____ 24______ 25_________ 26____ 27______ 28_______ 29 30________ 31 32__ 33___ 34______ 35__________ 36_________ 37 38____ 39_ 40 41 42 43

Chunks:
  TruePositive nam [5,5] = Mirkiem (confidence=0.99)
  TruePositive nam [39,42] = Web 2 . 0 (confidence=1.00)
  FalsePositive nam [13,15] = 2 . 0 (confidence=0.53) (incorrect boundry)
  FalseNegative nam [12,15] = kultury 2 . 0

(ChunkerEvaluator) Sentence #1037 from 00103938 from sent2

Text  : Serwisy społecznościowe wszelkiej maści są oczywiście dziś regulowane , ale jednocześnie są potężnymi pośrednikami w_ naszych codziennych zachowaniach online ._
Tokens: 1______ 2______________ 3________ 4____ 5_ 6_________ 7___ 8_________ 9 10_ 11__________ 12 13_______ 14__________ 15 16_____ 17_________ 18__________ 19____ 20

Chunks:

(ChunkerEvaluator) Sentence #1038 from 00103938 from sent3

Text  : Przyjęło się im ufać , powierzając im najróżniejsze nasze treści –_ gdy tymczasem działają one do pewnego stopnia poza naszą kontrolą ._
Tokens: 1_______ 2__ 3_ 4___ 5 6__________ 7_ 8____________ 9____ 10____ 11 12_ 13_______ 14______ 15_ 16 17_____ 18_____ 19__ 20___ 21______ 22

Chunks:

(ChunkerEvaluator) Sentence #1039 from 00103938 from sent4

Text  : Tradycyjna krytyka serwisów Web 2 . 0 skupia się na kwestiach związanych z_ prywatnością i_ ochroną danych osobowych (_ wartościach ,_ których utrata zdaje się wielu osobom nie przeszkadzać )_ ._
Tokens: 1_________ 2______ 3_______ 4__ 5 6 7 8_____ 9__ 10 11_______ 12________ 13 14__________ 15 16_____ 17____ 18_______ 19 20_________ 21 22_____ 23____ 24___ 25_ 26___ 27____ 28_ 29__________ 30 31

Chunks:
  TruePositive nam [4,7] = Web 2 . 0 (confidence=1.00)

(ChunkerEvaluator) Sentence #1040 from 00103938 from sent5

Text  : Ale zagrożone jest coś więcej : integralność naszej twórczości (_ szeroko pojętej )_ ,_ a_ może nawet tożsamości online (_ przez analogię do troski o_ integralność utworu ,_ o_ której jakiś czas temu pisał em )_ ._
Tokens: 1__ 2________ 3___ 4__ 5_____ 6 7___________ 8_____ 9_________ 10 11_____ 12_____ 13 14 15 16__ 17___ 18________ 19____ 20 21___ 22______ 23 24____ 25 26__________ 27____ 28 29 30____ 31___ 32__ 33__ 34___ 35 36 37

Chunks:

(ChunkerEvaluator) Sentence #1041 from 00103938 from sent6

Text  : W świecie kultury 2 . 0 , zmierzającym coraz bardziej w_ stronę przetwarzania danych w_ chmurze ,_ to co piszemy (_ można na to patrzeć jako na twórczość –_ można jako na komunikację )_ jest przechowywane na serwerach firm posiadających serwisy Web 2_ ._ 0_ ,_ z_ których korzystamy )_ ._
Tokens: 1 2______ 3______ 4 5 6 7 8___________ 9____ 10______ 11 12____ 13___________ 14____ 15 16_____ 17 18 19 20_____ 21 22___ 23 24 25_____ 26__ 27 28_______ 29 30___ 31__ 32 33_________ 34 35__ 36___________ 37 38_______ 39__ 40___________ 41_____ 42_ 43 44 45 46 47 48_____ 49________ 50 51

Chunks:
  TruePositive nam [42,45] = Web 2 . 0 (confidence=1.00)
  FalsePositive nam [4,6] = 2 . 0 (confidence=0.78) (incorrect boundry)
  FalseNegative nam [3,6] = kultury 2 . 0

(ChunkerEvaluator) Sentence #1042 from 00103938 from sent7

Text  : Mniejsza z tym , że wiele z nich w regulaminach zastrzega sobie prawa do wykorzystywania tych treści ._
Tokens: 1_______ 2 3__ 4 5_ 6____ 7 8___ 9 10__________ 11_______ 12___ 13___ 14 15_____________ 16__ 17____ 18

Chunks:

(ChunkerEvaluator) Sentence #1043 from 00103938 from sent8

Text  : Ale co zrobić , gdy treści te stają się zagrożone ?_
Tokens: 1__ 2_ 3_____ 4 5__ 6_____ 7_ 8____ 9__ 10_______ 11

Chunks:

(ChunkerEvaluator) Sentence #1044 from 00103938 from sent9

Text  : Yahoo niedawno ogłosił chęć sprzedaży serwisu Del.icio.us ( przez chwilę wyglądało to na plany jego zamknięcia )_ ._
Tokens: 1____ 2_______ 3______ 4___ 5________ 6______ 7__________ 8 9____ 10____ 11_______ 12 13 14___ 15__ 16________ 17 18

Chunks:
  TruePositive nam [1,1] = Yahoo (confidence=1.00)
  TruePositive nam [7,7] = Del.icio.us (confidence=1.00)

(ChunkerEvaluator) Sentence #1045 from 00103938 from sent10

Text  : Można powiedzieć , że zbiory linków ułożone w kumplonomie to nic ważnego –_ ale miliony linków są cennym wspólnym zasobem ,_ a_ wiele osób włożyło dużo pracy w_ tworzenie tych kolekcji ._
Tokens: 1____ 2_________ 3 4_ 5_____ 6_____ 7______ 8 9__________ 10 11_ 12_____ 13 14_ 15_____ 16____ 17 18____ 19______ 20_____ 21 22 23___ 24__ 25_____ 26__ 27___ 28 29_______ 30__ 31______ 32

Chunks:

(ChunkerEvaluator) Sentence #1046 from 00103938 from sent11

Text  : Del.icio.us to serwis oświecony , więc daje użytkownikom prawo eksportu danych ._
Tokens: 1__________ 2_ 3_____ 4________ 5 6___ 7___ 8___________ 9____ 10______ 11____ 12

Chunks:
  TruePositive nam [1,1] = Del.icio.us (confidence=0.89)

(ChunkerEvaluator) Sentence #1047 from 00103938 from sent12

Text  : Pytanie jednak , co z nimi zrobić – włożyć do innego serwisu (_ mniej popularnego ,_ więc z_ jeszcze mniejszymi szansami na przetrwanie )_ ?_
Tokens: 1______ 2_____ 3 4_ 5 6___ 7_____ 8 9_____ 10 11____ 12_____ 13 14___ 15_________ 16 17__ 18 19_____ 20________ 21______ 22 23_________ 24 25

Chunks:

(ChunkerEvaluator) Sentence #1048 from 00103938 from sent13

Text  : Trzymać na własnym komputerze ?
Tokens: 1______ 2_ 3______ 4_________ 5

Chunks:

(ChunkerEvaluator) Sentence #1049 from 00103938 from sent14

Text  : Ale przecież nie o to chodziło .
Tokens: 1__ 2_______ 3__ 4 5_ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #1050 from 00103938 from sent15

Text  : Tym bardziej , że nawet jeśli zachowamy własne dane ,_ to giną wszystkie połączenia między nimi ,_ linki z_ innych stron ,_ wreszcie cała warstwa społecznościowa ._
Tokens: 1__ 2_______ 3 4_ 5____ 6____ 7________ 8_____ 9___ 10 11 12__ 13_______ 14________ 15____ 16__ 17 18___ 19 20____ 21___ 22 23______ 24__ 25_____ 26_____________ 27

Chunks:

2017-06-14 20:02:44,149 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 60 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103945.xml
(ChunkerEvaluator) Sentence #1051 from 00103945 from sent1

Text  : Brał em udział przedwczoraj w debacie na temat mediów społecznych ,_ zorganizowanej w_ Krakowie przez Stowarzyszenie Projekt :_ Polska ._
Tokens: 1___ 2_ 3_____ 4___________ 5 6______ 7_ 8____ 9_____ 10_________ 11 12____________ 13 14______ 15___ 16____________ 17_____ 18 19____ 20

Chunks:
  TruePositive nam [14,14] = Krakowie (confidence=1.00)
  TruePositive nam [16,19] = Stowarzyszenie Projekt : Polska (confidence=0.99)

(ChunkerEvaluator) Sentence #1052 from 00103945 from sent2

Text  : Na marginesie , media społeczne to ciekawy temat – chodzi o_ trzecią kategorię ,_ obok mediów komercyjnych i_ publicznych –_ uznawaną w_ ramach regulacji mediów nadawczych ._
Tokens: 1_ 2_________ 3 4____ 5________ 6_ 7______ 8____ 9 10____ 11 12_____ 13_______ 14 15__ 16____ 17__________ 18 19_________ 20 21______ 22 23____ 24_______ 25____ 26________ 27

Chunks:

(ChunkerEvaluator) Sentence #1053 from 00103945 from sent3

Text  : Media społeczne to np . radia lokalne , rozgłośnie katolickie ,_ itd ._
Tokens: 1____ 2________ 3_ 4_ 5 6____ 7______ 8 9_________ 10________ 11 12_ 13

Chunks:

(ChunkerEvaluator) Sentence #1054 from 00103945 from sent4

Text  : Z perspektywy tej regulacji , przykłada się do takich mediów dużą wagę –_ powstają oddolnie ,_ w_ bliskim kontakcie ze społecznością ;_ służą zapewnieniu różnorodności na rynku ,_ itd ._
Tokens: 1 2__________ 3__ 4________ 5 6________ 7__ 8_ 9_____ 10____ 11__ 12__ 13 14______ 15______ 16 17 18_____ 19_______ 20 21___________ 22 23___ 24_________ 25___________ 26 27___ 28 29_ 30

Chunks:

(ChunkerEvaluator) Sentence #1055 from 00103945 from sent5

Text  : W Polsce takie media są praktycznie nieobecne – z wyjątkiem kilku nadawców kościelnych oraz pojedynczych radio akademickich ._
Tokens: 1 2_____ 3____ 4____ 5_ 6__________ 7________ 8 9 10_______ 11___ 12______ 13_________ 14__ 15__________ 16___ 17__________ 18

Chunks:
  TruePositive nam [2,2] = Polsce (confidence=0.95)

(ChunkerEvaluator) Sentence #1056 from 00103945 from sent6

Text  : To co dla mnie jest najciekawsze , to znaczenie i_ specyfika mediów społecznych w_ kontekście oddolnej aktywności kulturowej w_ sieci –_ która nie potrzebuje koncesji i_ regulacji ,_ tylko po prostu ma miejsce ._
Tokens: 1_ 2_ 3__ 4___ 5___ 6___________ 7 8_ 9________ 10 11_______ 12____ 13_________ 14 15________ 16______ 17________ 18________ 19 20___ 21 22___ 23_ 24________ 25______ 26 27_______ 28 29___ 30 31____ 32 33_____ 34

Chunks:

(ChunkerEvaluator) Sentence #1057 from 00103945 from sent7

Text  : Przyznam , że nie mam do końca zdania – z_ jednej strony media społeczne wydają się anachronicznym rozwiązaniem kwestii demokratyzacji udziału w_ kulturze ,_ osadzonym w_ modelu mediów nadawczych ._
Tokens: 1_______ 2 3_ 4__ 5__ 6_ 7____ 8_____ 9 10 11____ 12____ 13___ 14_______ 15____ 16_ 17____________ 18__________ 19_____ 20____________ 21_____ 22 23______ 24 25_______ 26 27____ 28____ 29________ 30

Chunks:

(ChunkerEvaluator) Sentence #1058 from 00103945 from sent8

Text  : Z drugiej zapewne lepiej pełnią funkcję np . edukacyjną niż oddolne projekty sieciowe ,_ a_ tym bardziej indywidualna aktywność ._
Tokens: 1 2______ 3______ 4_____ 5_____ 6______ 7_ 8 9_________ 10_ 11_____ 12______ 13______ 14 15 16_ 17______ 18__________ 19_______ 20

Chunks:

(ChunkerEvaluator) Sentence #1059 from 00103945 from sent9

Text  : Wracając do młodzieży – w spotkaniu uczestniczyli niemal wyłącznie studenci ,_ a_ sala sprawiała miejscami wrażenie umiarkowanie zainteresowanej tematem ._
Tokens: 1_______ 2_ 3________ 4 5 6________ 7____________ 8_____ 9________ 10______ 11 12 13__ 14_______ 15_______ 16______ 17__________ 18_____________ 19_____ 20

Chunks:

(ChunkerEvaluator) Sentence #1060 from 00103945 from sent10

Text  : Do czasu .
Tokens: 1_ 2____ 3

Chunks:

(ChunkerEvaluator) Sentence #1061 from 00103945 from sent11

Text  : Wszyscy w pewnym momencie się ożywili , i jako prelegenci nie mieli śmy jasności czemu ._
Tokens: 1______ 2 3_____ 4_______ 5__ 6______ 7 8 9___ 10________ 11_ 12___ 13_ 14______ 15___ 16

Chunks:

(ChunkerEvaluator) Sentence #1062 from 00103945 from sent12

Text  : Okazało się , że jeden ze studentów zaczął łączyć się przez Bluetooth z_ laptopem ,_ z_ którego rzucano obraz na ekran za naszymi plecami ._
Tokens: 1______ 2__ 3 4_ 5____ 6_ 7________ 8_____ 9_____ 10_ 11___ 12_______ 13 14______ 15 16 17_____ 18_____ 19___ 20 21___ 22 23_____ 24_____ 25

Chunks:
  TruePositive nam [12,12] = Bluetooth (confidence=1.00)

(ChunkerEvaluator) Sentence #1063 from 00103945 from sent13

Text  : Powodowało to wyświetlanie się komunikatu z prośbą o zgodę na połączenie ._
Tokens: 1_________ 2_ 3___________ 4__ 5_________ 6 7_____ 8 9____ 10 11________ 12

Chunks:

(ChunkerEvaluator) Sentence #1064 from 00103945 from sent14

Text  : Całkowicie nudnego , z wyjątkiem nazwy łączącego się urządzenia –_ która brzmiała „_ zjadł by m_ coś ”_ ,_ „_ zabić śledzika ”_ ,_ „_ kapustka ”_ ,_ itd ._
Tokens: 1_________ 2______ 3 4 5________ 6____ 7________ 8__ 9_________ 10 11___ 12______ 13 14___ 15 16 17_ 18 19 20 21___ 22______ 23 24 25 26______ 27 28 29_ 30

Chunks:

(ChunkerEvaluator) Sentence #1065 from 00103945 from sent15

Text  : Ku wielkiej radości widowni .
Tokens: 1_ 2_______ 3______ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #1066 from 00103945 from sent16

Text  : Bardzo mi się cała sprawa spodobała , bo była doskonałą ilustracją omawianej sprawy ,_ która często też pojawia się na tym blogu :_ aktywności kulturowej w_ świecie nowych mediów ._
Tokens: 1_____ 2_ 3__ 4___ 5_____ 6________ 7 8_ 9___ 10_______ 11________ 12_______ 13____ 14 15___ 16____ 17_ 18_____ 19_ 20 21_ 22___ 23 24________ 25________ 26 27_____ 28____ 29____ 30

Chunks:

(ChunkerEvaluator) Sentence #1067 from 00103945 from sent17

Text  : „ Kapustka ” udowodniła , że każdy kanał do komunikacji jest dobry ,_ że inwencja użytkowników nie ma granic ,_ oraz że etyka hakerów zeszła pod strzechy ._
Tokens: 1 2_______ 3 4_________ 5 6_ 7____ 8____ 9_ 10_________ 11__ 12___ 13 14 15______ 16__________ 17_ 18 19____ 20 21__ 22 23___ 24_____ 25____ 26_ 27______ 28

Chunks:

2017-06-14 20:02:44,243 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 61 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103956.xml
(ChunkerEvaluator) Sentence #1068 from 00103956 from sent1

Text  : Osobiście mam tu problem z pogodzeniem teorii z praktyką –_ to ,_ co najciekawsze intelektualnie ,_ nie bardzo daje się przełożyć na konkretne działania ._
Tokens: 1________ 2__ 3_ 4______ 5 6__________ 7_____ 8 9_______ 10 11 12 13 14__________ 15____________ 16 17_ 18____ 19__ 20_ 21_______ 22 23_______ 24_______ 25

Chunks:

(ChunkerEvaluator) Sentence #1069 from 00103956 from sent2

Text  : Z drugiej strony to one wydają mi się szalenie ekscytujące –_ czego dobrym przykładem był MediaLab Chrzelice ,_ o_ którym wciąż nie udało nam się tutaj niczego napisać ,_ ale który przeszedł chyba najśmielsze oczekiwania większości uczestników ,_ a_ moje na pewno (_ kiedy pojawią się jakieś post -_ medialabowe materiały ,_ na pewno je tutaj podlinkujemy )_ ._
Tokens: 1 2______ 3_____ 4_ 5__ 6_____ 7_ 8__ 9_______ 10_________ 11 12___ 13____ 14________ 15_ 16______ 17_______ 18 19 20____ 21___ 22_ 23___ 24_ 25_ 26___ 27_____ 28_____ 29 30_ 31___ 32_______ 33___ 34_________ 35_________ 36________ 37_________ 38 39 40__ 41 42___ 43 44___ 45_____ 46_ 47____ 48__ 49 50_________ 51_______ 52 53 54___ 55 56___ 57__________ 58 59

Chunks:
  TruePositive nam [16,17] = MediaLab Chrzelice (confidence=1.00)

(ChunkerEvaluator) Sentence #1070 from 00103956 from sent3

Text  : Tę ambiwalencję dobrze ilustruje inny medialabowy „ kejs ” –_ Kitchen Budapest ,_ który utrzymywany jest przez wielki telekom i_ który za te pieniądze częściej niż innowacyjno -_ użyteczne robi rzeczy szalone i_ niezwykłe ._
Tokens: 1_ 2___________ 3_____ 4________ 5___ 6__________ 7 8___ 9 10 11_____ 12______ 13 14___ 15_________ 16__ 17___ 18____ 19_____ 20 21___ 22 23 24_______ 25______ 26_ 27_________ 28 29_______ 30__ 31____ 32_____ 33 34_______ 35

Chunks:
  TruePositive nam [11,12] = Kitchen Budapest (confidence=1.00)

(ChunkerEvaluator) Sentence #1071 from 00103956 from sent4

Text  : Podczas warszawskiej prezentacji KiBu , członek medialabu był atakowany za „_ wysługiwanie się kapitalistom ”_ ._
Tokens: 1______ 2___________ 3__________ 4___ 5 6______ 7________ 8__ 9________ 10 11 12__________ 13_ 14__________ 15 16

Chunks:
  TruePositive nam [4,4] = KiBu (confidence=0.92)
  FalseNegative nam [7,7] = medialabu

(ChunkerEvaluator) Sentence #1072 from 00103956 from sent5

Text  : Ale czy takie działania można finansować w jakikolwiek inny sposób ,_ czy skala nakładów i_ dziwaczności działań są do przełknięcia np ._ dla urzędników państwowych ?_
Tokens: 1__ 2__ 3____ 4________ 5____ 6_________ 7 8__________ 9___ 10____ 11 12_ 13___ 14______ 15 16__________ 17_____ 18 19 20__________ 21 22 23_ 24________ 25_________ 26

Chunks:

(ChunkerEvaluator) Sentence #1073 from 00103956 from sent6

Text  : Nie sądzę .
Tokens: 1__ 2____ 3

Chunks:

(ChunkerEvaluator) Sentence #1074 from 00103956 from sent7

Text  : Dlatego cieszę się , że takie działania mają miejsce ._
Tokens: 1______ 2_____ 3__ 4 5_ 6____ 7________ 8___ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #1075 from 00103956 from sent8

Text  : Na pytanie kto kogo wykorzystuje każdy musi odpowiedzieć sobie sam ._
Tokens: 1_ 2______ 3__ 4___ 5___________ 6____ 7___ 8___________ 9____ 10_ 11

Chunks:

(ChunkerEvaluator) Sentence #1076 from 00103956 from sent9

Text  : Wydaje mi się jednak , że każda zero - jedynkowa odpowiedź będzie uproszczeniem ._
Tokens: 1_____ 2_ 3__ 4_____ 5 6_ 7____ 8___ 9 10_______ 11_______ 12____ 13___________ 14

Chunks:

(ChunkerEvaluator) Sentence #1077 from 00103956 from sent10

Text  : Jak kiedyś napisał Matthew Fuller ( zdecydowanie po stronie Lovinka )_ ,_ przestrzeń mediów to kaskada pasożytów ._
Tokens: 1__ 2_____ 3______ 4______ 5_____ 6 7___________ 8_ 9______ 10_____ 11 12 13________ 14____ 15 16_____ 17_______ 18

Chunks:
  TruePositive nam [4,5] = Matthew Fuller (confidence=1.00)
  TruePositive nam [10,10] = Lovinka (confidence=1.00)

(ChunkerEvaluator) Sentence #1078 from 00103956 from sent11

Text  : Fajnie pisze o tym choćby Mirko Schafer , próbujący znaleźć jakiś kompromis pomiędzy skrajnymi stanowiskami ._
Tokens: 1_____ 2____ 3 4__ 5_____ 6____ 7______ 8 9________ 10_____ 11___ 12_______ 13______ 14_______ 15__________ 16

Chunks:
  TruePositive nam [6,7] = Mirko Schafer (confidence=1.00)

(ChunkerEvaluator) Sentence #1079 from 00103956 from sent12

Text  : Chyba więc jesteśmy skazani na konstrukcyjno - dekonstrukcyjną huśtawkę –_ równowaga nie wydaje mi się możliwa do osiągnięcia ._
Tokens: 1____ 2___ 3_______ 4______ 5_ 6____________ 7 8______________ 9_______ 10 11_______ 12_ 13____ 14 15_ 16_____ 17 18_________ 19

Chunks:

(ChunkerEvaluator) Sentence #1080 from 00103956 from sent13

Text  : A na koniec jeszcze o edukacji medialnej , o której wspomniał Alek –_ i_ która też nie jest odporna na krytykę w_ rodzaju „_ chcemy ,_ żeby wszyscy korzystali z_ mediów tak ,_ jak my ”_ ._
Tokens: 1 2_ 3_____ 4______ 5 6_______ 7________ 8 9 10____ 11_______ 12__ 13 14 15___ 16_ 17_ 18__ 19_____ 20 21_____ 22 23_____ 24 25____ 26 27__ 28_____ 29________ 30 31____ 32_ 33 34_ 35 36 37

Chunks:
  TruePositive nam [12,12] = Alek (confidence=1.00)

(ChunkerEvaluator) Sentence #1081 from 00103956 from sent14

Text  : Niedawno wpadła mi w ręce ( dzięki , Mateusz )_ książka „_ Shop Class as Soul Craft ”_ Matthew B_ ._ Crawforda ,_ która jest przesycona tęsknotą za czasami ,_ kiedy ludzie wiedzieli ,_ jak działają urządzenia ,_ z_ których korzystają ,_ i_ potrafili je naprawiać ._
Tokens: 1_______ 2_____ 3_ 4 5___ 6 7_____ 8 9______ 10 11_____ 12 13__ 14___ 15 16__ 17___ 18 19_____ 20 21 22_______ 23 24___ 25__ 26________ 27______ 28 29_____ 30 31___ 32____ 33_______ 34 35_ 36______ 37________ 38 39 40_____ 41________ 42 43 44_______ 45 46_______ 47

Chunks:
  TruePositive nam [9,9] = Mateusz (confidence=1.00)
  TruePositive nam [13,17] = Shop Class as Soul Craft (confidence=0.98)
  TruePositive nam [19,22] = Matthew B . Crawforda (confidence=1.00)

(ChunkerEvaluator) Sentence #1082 from 00103956 from sent15

Text  : Choć to bardzo anty - elektroniczne ( bo erę domowego majsterkowania w_ dużej mierze pogrzebała właśnie tania elektronika )_ ,_ to równocześnie bardzo w_ duchu „_ makers ”_ ._
Tokens: 1___ 2_ 3_____ 4___ 5 6____________ 7 8_ 9__ 10______ 11____________ 12 13___ 14____ 15________ 16_____ 17___ 18_________ 19 20 21 22__________ 23____ 24 25___ 26 27____ 28 29

Chunks:

2017-06-14 20:02:44,337 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 62 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107245.xml
(ChunkerEvaluator) Sentence #1083 from 00107245 from sent1

Text  : 2005-05-26 : 100 000 plików na Wikimedia Commons
Tokens: 1_________ 2 3__ 4__ 5_____ 6_ 7________ 8______

Chunks:
  TruePositive nam [7,8] = Wikimedia Commons (confidence=1.00)

(ChunkerEvaluator) Sentence #1084 from 00107245 from sent2

Text  : Przedwczoraj , 24 maja 2005 roku , na repozytorium otwartych plików multimedialnych Wikimedia Commons została załadowana 100 000 praca ._
Tokens: 1___________ 2 3_ 4___ 5___ 6___ 7 8_ 9___________ 10_______ 11____ 12_____________ 13_______ 14_____ 15_____ 16________ 17_ 18_ 19___ 20

Chunks:
  TruePositive nam [13,14] = Wikimedia Commons (confidence=1.00)

(ChunkerEvaluator) Sentence #1085 from 00107245 from sent3

Text  : Jej autorem jest użytkownik francuskiej Wikipedii - Stephane Tsacas ._
Tokens: 1__ 2______ 3___ 4_________ 5__________ 6________ 7 8_______ 9_____ 10

Chunks:
  TruePositive nam [6,6] = Wikipedii (confidence=1.00)
  TruePositive nam [8,9] = Stephane Tsacas (confidence=0.98)

(ChunkerEvaluator) Sentence #1086 from 00107245 from sent4

Text  : Pracuje on w paryskim instytucie naukowym imienia Curie .
Tokens: 1______ 2_ 3 4_______ 5_________ 6_______ 7______ 8____ 9

Chunks:
  TruePositive nam [8,8] = Curie (confidence=0.98)

(ChunkerEvaluator) Sentence #1087 from 00107245 from sent5

Text  : Sporych rozmiarów zbiór multimediów został stworzony przez ponad pięciu tysięcy użytkowników mówiących w_ 12 różnych językach (_ także po polsku )_ ._
Tokens: 1______ 2________ 3____ 4__________ 5_____ 6________ 7____ 8____ 9_____ 10_____ 11__________ 12_______ 13 14 15_____ 16______ 17 18___ 19 20____ 21 22

Chunks:

(ChunkerEvaluator) Sentence #1088 from 00107245 from sent6

Text  : Repozytorium obejmuje zdjęcia , grafiki , animacje , pliki muzyczne oraz wideo udostępnione na wolnych zasadach ._
Tokens: 1___________ 2_______ 3______ 4 5______ 6 7_______ 8 9____ 10______ 11__ 12___ 13__________ 14 15_____ 16______ 17

Chunks:

(ChunkerEvaluator) Sentence #1089 from 00107245 from sent7

Text  : Najważniejszymi licencjami projektu są GFDL oraz Creative Commons .
Tokens: 1______________ 2_________ 3_______ 4_ 5___ 6___ 7_______ 8______ 9

Chunks:
  TruePositive nam [5,5] = GFDL (confidence=1.00)
  TruePositive nam [7,8] = Creative Commons (confidence=1.00)

(ChunkerEvaluator) Sentence #1090 from 00107245 from sent8

Text  : Projekt Wikimedia Commons powstał 7 września 2004 roku .
Tokens: 1______ 2________ 3______ 4______ 5 6_______ 7___ 8___ 9

Chunks:
  TruePositive nam [2,3] = Wikimedia Commons (confidence=1.00)

(ChunkerEvaluator) Sentence #1091 from 00107245 from sent9

Text  : Podobnie jak Wikipedia , jest on oparty o technologię wiki ._
Tokens: 1_______ 2__ 3________ 4 5___ 6_ 7_____ 8 9__________ 10__ 11

Chunks:
  TruePositive nam [3,3] = Wikipedia (confidence=1.00)
  FalseNegative nam [10,10] = wiki

(ChunkerEvaluator) Sentence #1092 from 00107245 from sent10

Text  : Oznacza to , że każdy może w łatwy sposób modyfikować treść ._
Tokens: 1______ 2_ 3 4_ 5____ 6___ 7 8____ 9_____ 10_________ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #1093 from 00107245 from sent11

Text  : Pliki załadowane na Wikimedia Commons są dostępne dla wszystkich projektów oraz ich wersji językowych ._
Tokens: 1____ 2_________ 3_ 4________ 5______ 6_ 7_______ 8__ 9_________ 10_______ 11__ 12_ 13____ 14________ 15

Chunks:
  TruePositive nam [4,5] = Wikimedia Commons (confidence=1.00)

(ChunkerEvaluator) Sentence #1094 from 00107245 from sent12

Text  : Linki zewnętrzne
Tokens: 1____ 2_________

Chunks:

(ChunkerEvaluator) Sentence #1095 from 00107245 from sent13

Text  : Strona główna projektu w języku polskim
Tokens: 1_____ 2_____ 3_______ 4 5_____ 6______

Chunks:

(ChunkerEvaluator) Sentence #1096 from 00107245 from sent14

Text  : Źródła
Tokens: 1_____

Chunks:

(ChunkerEvaluator) Sentence #1097 from 00107245 from sent15

Text  : Oświadczenie prasowe Fundacji Wikimedia
Tokens: 1___________ 2______ 3_______ 4________

Chunks:
  TruePositive nam [3,4] = Fundacji Wikimedia (confidence=1.00)

2017-06-14 20:02:44,379 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 63 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107269.xml
(ChunkerEvaluator) Sentence #1098 from 00107269 from sent1

Text  : 2006-11-28 : Siatkówka : Polska pokonała Rosję 3 : 2_ na MŚ 2006 w_ Japonii
Tokens: 1_________ 2 3________ 4 5_____ 6_______ 7____ 8 9 10 11 12 13__ 14 15_____

Chunks:
  TruePositive nam [5,5] = Polska (confidence=0.97)
  TruePositive nam [7,7] = Rosję (confidence=1.00)
  TruePositive nam [15,15] = Japonii (confidence=1.00)
  FalsePositive nam [3,3] = Siatkówka (confidence=0.99) (incorrect boundry)
  FalsePositive nam [12,12] = MŚ (confidence=0.88) (incorrect boundry)
  FalseNegative nam [12,13] = MŚ 2006

(ChunkerEvaluator) Sentence #1099 from 00107269 from sent2

Text  : Polska pokonała zespół Rosji 3 : 2 na Mistrzostwach Świata 2006 w_ siatkówce ,_ które odbywają się w_ japońskim mieście Sendai ._
Tokens: 1_____ 2_______ 3_____ 4____ 5 6 7 8_ 9____________ 10____ 11__ 12 13_______ 14 15___ 16______ 17_ 18 19_______ 20_____ 21____ 22

Chunks:
  TruePositive nam [1,1] = Polska (confidence=0.57)
  TruePositive nam [4,4] = Rosji (confidence=1.00)
  TruePositive nam [21,21] = Sendai (confidence=1.00)
  FalsePositive nam [9,11] = Mistrzostwach Świata 2006 (confidence=1.00) (incorrect boundry)
  FalseNegative nam [9,13] = Mistrzostwach Świata 2006 w siatkówce

(ChunkerEvaluator) Sentence #1100 from 00107269 from sent3

Text  : Polacy dwa pierwsze sety przegrali do 19 , by w_ późniejszej fazie meczu odwrócić los spotkania na swoją korzyść i_ wygrać w_ efekcie 3_ :_ 2_ ._
Tokens: 1_____ 2__ 3_______ 4___ 5________ 6_ 7_ 8 9_ 10 11_________ 12___ 13___ 14______ 15_ 16_______ 17 18___ 19_____ 20 21____ 22 23_____ 24 25 26 27

Chunks:
  FalseNegative nam [1,1] = Polacy

(ChunkerEvaluator) Sentence #1101 from 00107269 from sent4

Text  : Tym samym polska drużyna awansowała do półfinałów Mistrzostw Świata w_ Japonii ._
Tokens: 1__ 2____ 3_____ 4______ 5_________ 6_ 7_________ 8_________ 9_____ 10 11_____ 12

Chunks:
  TruePositive nam [8,9] = Mistrzostw Świata (confidence=1.00)
  TruePositive nam [11,11] = Japonii (confidence=0.95)

(ChunkerEvaluator) Sentence #1102 from 00107269 from sent5

Text  : Do dzisiejszego spotkania polski zespół kontynuował serię 7 zwycięstw bez straty seta ._
Tokens: 1_ 2___________ 3________ 4_____ 5_____ 6__________ 7____ 8 9________ 10_ 11____ 12__ 13

Chunks:

(ChunkerEvaluator) Sentence #1103 from 00107269 from sent6

Text  : Jutro ( tj . 29 listopada 2006 ) Polska rozegra mecz z_ zespołem Serbii i_ Czarnogóry ,_ który będzie miał decydujący wpływ na ostateczne miejsce polskiej reprezentacji w_ tabeli grupy E_ ._
Tokens: 1____ 2 3_ 4 5_ 6________ 7___ 8 9_____ 10_____ 11__ 12 13______ 14____ 15 16________ 17 18___ 19____ 20__ 21________ 22___ 23 24________ 25_____ 26______ 27___________ 28 29____ 30___ 31 32

Chunks:
  TruePositive nam [9,9] = Polska (confidence=1.00)
  FalsePositive nam [14,14] = Serbii (confidence=1.00) (incorrect boundry)
  FalsePositive nam [16,16] = Czarnogóry (confidence=0.92) (incorrect boundry)
  FalseNegative nam [14,16] = Serbii i Czarnogóry

(ChunkerEvaluator) Sentence #1104 from 00107269 from sent7

Text  : Ostateczny wynik
Tokens: 1_________ 2____

Chunks:

(ChunkerEvaluator) Sentence #1105 from 00107269 from sent8

Text  : Polska - Rosja 3 : 2 ( 19 : 25 ,_ 19 :_ 25 ,_ 25 :_ 22 ,_ 25 :_ 20 ,_ 15 :_ 11 )_
Tokens: 1_____ 2 3____ 4 5 6 7 8_ 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27

Chunks:
  TruePositive nam [1,1] = Polska (confidence=0.96)
  TruePositive nam [3,3] = Rosja (confidence=1.00)

2017-06-14 20:02:44,418 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 64 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107306.xml
(ChunkerEvaluator) Sentence #1106 from 00107306 from sent1

Text  : 2008-08-26 : Rewanże w el . Ligi Mistrzów
Tokens: 1_________ 2 3______ 4 5_ 6 7___ 8_______

Chunks:
  TruePositive nam [7,8] = Ligi Mistrzów (confidence=0.98)

(ChunkerEvaluator) Sentence #1107 from 00107306 from sent2

Text  : We wtorek odbędą się pierwsze spotkania rewanżowe trzeciej rundy eliminacji piłkarskiej Ligi Mistrzów ._
Tokens: 1_ 2_____ 3_____ 4__ 5_______ 6________ 7________ 8_______ 9____ 10________ 11_________ 12__ 13______ 14

Chunks:
  TruePositive nam [12,13] = Ligi Mistrzów (confidence=0.99)

(ChunkerEvaluator) Sentence #1108 from 00107306 from sent3

Text  : Wisła Kraków podejmować będzie FC Barcelonę , jednak po porażce 0_ :_ 4_ na Camp Nou ,_ szanse mistrzów Polski są bardzo nikłe ._
Tokens: 1____ 2_____ 3_________ 4_____ 5_ 6________ 7 8_____ 9_ 10_____ 11 12 13 14 15__ 16_ 17 18____ 19______ 20____ 21 22____ 23___ 24

Chunks:
  TruePositive nam [1,2] = Wisła Kraków (confidence=1.00)
  TruePositive nam [5,6] = FC Barcelonę (confidence=1.00)
  TruePositive nam [15,16] = Camp Nou (confidence=0.98)
  TruePositive nam [20,20] = Polski (confidence=1.00)

(ChunkerEvaluator) Sentence #1109 from 00107306 from sent4

Text  : Program spotkań rewanżowych :
Tokens: 1______ 2______ 3__________ 4

Chunks:

(ChunkerEvaluator) Sentence #1110 from 00107306 from sent5

Text  : 26 sierpnia , wtorek
Tokens: 1_ 2_______ 3 4_____

Chunks:

(ChunkerEvaluator) Sentence #1111 from 00107306 from sent6

Text  : 20 . 45 , Panathinaikos Ateny - Sparta Praga (_ pierwszy mecz -_ 2_ :_ 1_ )_
Tokens: 1_ 2 3_ 4 5____________ 6____ 7 8_____ 9____ 10 11______ 12__ 13 14 15 16 17

Chunks:
  TruePositive nam [5,6] = Panathinaikos Ateny (confidence=0.98)
  TruePositive nam [8,9] = Sparta Praga (confidence=1.00)

(ChunkerEvaluator) Sentence #1112 from 00107306 from sent7

Text  : 20 . 45 , Wisła Kraków - FC Barcelona (_ 0_ :_ 4_ )_
Tokens: 1_ 2 3_ 4 5____ 6_____ 7 8_ 9________ 10 11 12 13 14

Chunks:
  TruePositive nam [5,6] = Wisła Kraków (confidence=1.00)
  TruePositive nam [8,9] = FC Barcelona (confidence=0.99)

(ChunkerEvaluator) Sentence #1113 from 00107306 from sent8

Text  : 20 . 45 , Artmedia Petrżałka - Juventus Turyn (_ 0_ :_ 4_ )_
Tokens: 1_ 2 3_ 4 5_______ 6________ 7 8_______ 9____ 10 11 12 13 14

Chunks:
  TruePositive nam [5,6] = Artmedia Petrżałka (confidence=1.00)
  TruePositive nam [8,9] = Juventus Turyn (confidence=0.63)

(ChunkerEvaluator) Sentence #1114 from 00107306 from sent9

Text  : 27 sierpnia , środa
Tokens: 1_ 2_______ 3 4____

Chunks:

(ChunkerEvaluator) Sentence #1115 from 00107306 from sent10

Text  : 18 . 00 , BATE Borysów - Lewski Sofia (_ 1_ :_ 0_ )_
Tokens: 1_ 2 3_ 4 5___ 6______ 7 8_____ 9____ 10 11 12 13 14

Chunks:
  TruePositive nam [5,6] = BATE Borysów (confidence=1.00)
  TruePositive nam [8,9] = Lewski Sofia (confidence=1.00)

(ChunkerEvaluator) Sentence #1116 from 00107306 from sent11

Text  : 19 . 00 , FBK Kowno - Aalborg BK (_ 0_ :_ 2_ )_
Tokens: 1_ 2 3_ 4 5__ 6____ 7 8______ 9_ 10 11 12 13 14

Chunks:
  TruePositive nam [5,6] = FBK Kowno (confidence=1.00)
  TruePositive nam [8,9] = Aalborg BK (confidence=0.98)

(ChunkerEvaluator) Sentence #1117 from 00107306 from sent12

Text  : 19 . 45 , Steaua Bukareszt - Galatasaray Stambuł (_ 2_ :_ 2_ )_
Tokens: 1_ 2 3_ 4 5_____ 6________ 7 8__________ 9______ 10 11 12 13 14

Chunks:
  TruePositive nam [5,6] = Steaua Bukareszt (confidence=1.00)
  TruePositive nam [8,9] = Galatasaray Stambuł (confidence=0.95)

(ChunkerEvaluator) Sentence #1118 from 00107306 from sent13

Text  : 19 . 45 , Dynamo Kijów - Spartak Moskwa (_ 4_ :_ 1_ )_
Tokens: 1_ 2 3_ 4 5_____ 6____ 7 8______ 9_____ 10 11 12 13 14

Chunks:
  TruePositive nam [5,6] = Dynamo Kijów (confidence=1.00)
  TruePositive nam [8,9] = Spartak Moskwa (confidence=0.97)

(ChunkerEvaluator) Sentence #1119 from 00107306 from sent14

Text  : 20 . 00 , Fenerbahce Stambuł - Partizan Belgrad (_ 2_ :_ 2_ )_
Tokens: 1_ 2 3_ 4 5_________ 6______ 7 8_______ 9______ 10 11 12 13 14

Chunks:
  TruePositive nam [5,6] = Fenerbahce Stambuł (confidence=0.99)
  TruePositive nam [8,9] = Partizan Belgrad (confidence=0.98)

(ChunkerEvaluator) Sentence #1120 from 00107306 from sent15

Text  : 20 . 15 , FC Basel - Vitoria Guimaraes (_ 0_ :_ 0_ )_
Tokens: 1_ 2 3_ 4 5_ 6____ 7 8______ 9________ 10 11 12 13 14

Chunks:
  TruePositive nam [5,6] = FC Basel (confidence=1.00)
  TruePositive nam [8,9] = Vitoria Guimaraes (confidence=0.72)

(ChunkerEvaluator) Sentence #1121 from 00107306 from sent16

Text  : 20 . 45 , Olympique Marsylia - Brann Bergen (_ 1_ :_ 0_ )_
Tokens: 1_ 2 3_ 4 5________ 6_______ 7 8____ 9_____ 10 11 12 13 14

Chunks:
  TruePositive nam [5,6] = Olympique Marsylia (confidence=1.00)
  TruePositive nam [8,9] = Brann Bergen (confidence=0.82)

(ChunkerEvaluator) Sentence #1122 from 00107306 from sent17

Text  : 20 . 45 , Olympiakos Pireus - Anorthosis Famagusta (_ 0_ :_ 3_ )_
Tokens: 1_ 2 3_ 4 5_________ 6_____ 7 8_________ 9________ 10 11 12 13 14

Chunks:
  TruePositive nam [5,6] = Olympiakos Pireus (confidence=1.00)
  TruePositive nam [8,9] = Anorthosis Famagusta (confidence=0.85)

(ChunkerEvaluator) Sentence #1123 from 00107306 from sent18

Text  : 20 . 45 , Dinamo Zagrzeb - Szachtar Donieck (_ 0_ :_ 2_ )_
Tokens: 1_ 2 3_ 4 5_____ 6______ 7 8_______ 9______ 10 11 12 13 14

Chunks:
  TruePositive nam [5,6] = Dinamo Zagrzeb (confidence=1.00)
  TruePositive nam [8,9] = Szachtar Donieck (confidence=0.97)

(ChunkerEvaluator) Sentence #1124 from 00107306 from sent19

Text  : 20 . 45 , Atletico Madryt - Schalke 04 Gelsenkirchen (_ 0_ :_ 1_ )_
Tokens: 1_ 2 3_ 4 5_______ 6_____ 7 8______ 9_ 10___________ 11 12 13 14 15

Chunks:
  TruePositive nam [5,6] = Atletico Madryt (confidence=1.00)
  TruePositive nam [8,10] = Schalke 04 Gelsenkirchen (confidence=0.99)

(ChunkerEvaluator) Sentence #1125 from 00107306 from sent20

Text  : 20 . 45 , Slavia Praga - AC Fiorentina (_ 0_ :_ 2_ )_
Tokens: 1_ 2 3_ 4 5_____ 6____ 7 8_ 9_________ 10 11 12 13 14

Chunks:
  TruePositive nam [5,6] = Slavia Praga (confidence=1.00)
  TruePositive nam [8,9] = AC Fiorentina (confidence=0.99)

(ChunkerEvaluator) Sentence #1126 from 00107306 from sent21

Text  : 21 . 05 , Liverpool FC - Standard Liege (_ 0_ :_ 0_ )_
Tokens: 1_ 2 3_ 4 5________ 6_ 7 8_______ 9____ 10 11 12 13 14

Chunks:
  FalsePositive nam [5,9] = Liverpool FC - Standard Liege (confidence=1.00) (incorrect boundry)
  FalseNegative nam [5,6] = Liverpool FC
  FalseNegative nam [8,9] = Standard Liege

(ChunkerEvaluator) Sentence #1127 from 00107306 from sent22

Text  : 21 . 05 , Arsenal Londyn - Twente Enschede (_ 2_ :_ 0_ )_
Tokens: 1_ 2 3_ 4 5______ 6_____ 7 8_____ 9_______ 10 11 12 13 14

Chunks:
  TruePositive nam [5,6] = Arsenal Londyn (confidence=0.99)
  TruePositive nam [8,9] = Twente Enschede (confidence=0.99)

2017-06-14 20:02:44,485 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 65 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107313.xml
(ChunkerEvaluator) Sentence #1128 from 00107313 from sent1

Text  : 2008-09-16 : Kłopotek domaga się przeprosin
Tokens: 1_________ 2 3_______ 4_____ 5__ 6_________

Chunks:
  FalseNegative nam [3,3] = Kłopotek

(ChunkerEvaluator) Sentence #1129 from 00107313 from sent2

Text  : Eugeniusz Kłopotek żąda publicznych przeprosin od Julii Pitery .
Tokens: 1________ 2_______ 3___ 4__________ 5_________ 6_ 7____ 8_____ 9

Chunks:
  TruePositive nam [1,2] = Eugeniusz Kłopotek (confidence=1.00)
  TruePositive nam [7,8] = Julii Pitery (confidence=1.00)

(ChunkerEvaluator) Sentence #1130 from 00107313 from sent3

Text  : Poseł PSL uważa , że skłamała ona mówiąc , iż działał on w_ interesie biznesmena ,_ który starał się o_ zezwolenie na budowę dojazdu do planowanej trasy ekspresowej S_ -_ 5_ ._
Tokens: 1____ 2__ 3____ 4 5_ 6_______ 7__ 8_____ 9 10 11_____ 12 13 14_______ 15________ 16 17___ 18____ 19_ 20 21________ 22 23____ 24_____ 25 26________ 27___ 28_________ 29 30 31 32

Chunks:
  TruePositive nam [2,2] = PSL (confidence=0.98)
  TruePositive nam [29,31] = S - 5 (confidence=0.92)

(ChunkerEvaluator) Sentence #1131 from 00107313 from sent4

Text  : Kłopotek tłumaczył się z zarzutów kierowanych pod jego adresem przez Piterę na konferencji prasowej w_ Bydgoszczy ._
Tokens: 1_______ 2________ 3__ 4 5_______ 6__________ 7__ 8___ 9______ 10___ 11____ 12 13_________ 14______ 15 16________ 17

Chunks:
  TruePositive nam [11,11] = Piterę (confidence=1.00)
  TruePositive nam [16,16] = Bydgoszczy (confidence=1.00)
  FalseNegative nam [1,1] = Kłopotek

(ChunkerEvaluator) Sentence #1132 from 00107313 from sent5

Text  : Poseł mówił , iż jego wsparcie dla biznesmena było elementem interwencji poselskiej ._
Tokens: 1____ 2____ 3 4_ 5___ 6_______ 7__ 8_________ 9___ 10_______ 11_________ 12________ 13

Chunks:

(ChunkerEvaluator) Sentence #1133 from 00107313 from sent6

Text  : Julii Pietrze przekaże dokumenty , które – jego zdaniem –_ są dowodem na to ,_ że rządowa minister kłamie ._
Tokens: 1____ 2______ 3_______ 4________ 5 6____ 7 8___ 9______ 10 11 12_____ 13 14 15 16 17_____ 18______ 19____ 20

Chunks:
  TruePositive nam [1,2] = Julii Pietrze (confidence=1.00)

(ChunkerEvaluator) Sentence #1134 from 00107313 from sent7

Text  : Dostaną je także Donald Tusk , Bronisław Komorowski i Zbigniew Chlebowski ._
Tokens: 1______ 2_ 3____ 4_____ 5___ 6 7________ 8_________ 9 10______ 11________ 12

Chunks:
  TruePositive nam [4,5] = Donald Tusk (confidence=1.00)
  TruePositive nam [7,8] = Bronisław Komorowski (confidence=1.00)
  TruePositive nam [10,11] = Zbigniew Chlebowski (confidence=1.00)

(ChunkerEvaluator) Sentence #1135 from 00107313 from sent8

Text  : Kłopotek także zagroził : – Może przyjść moment , że będziemy zastanawiać się nad przyszłością koalicji z_ PO ._
Tokens: 1_______ 2____ 3_______ 4 5 6___ 7______ 8_____ 9 10 11______ 12_________ 13_ 14_ 15__________ 16______ 17 18 19

Chunks:
  TruePositive nam [18,18] = PO (confidence=1.00)
  FalseNegative nam [1,1] = Kłopotek

(ChunkerEvaluator) Sentence #1136 from 00107313 from sent9

Text  : – Jeżeli nie zostaną ukrócone niektóre poczynania pani minister Pitery ,_ to blady strach padnie na parlamentarzystów ._
Tokens: 1 2_____ 3__ 4______ 5_______ 6_______ 7_________ 8___ 9_______ 10____ 11 12 13___ 14____ 15____ 16 17_______________ 18

Chunks:
  TruePositive nam [10,10] = Pitery (confidence=1.00)

(ChunkerEvaluator) Sentence #1137 from 00107313 from sent10

Text  : Zaczną się bać pomówień , zastraszania , kłamstw i nie podejmą się żadnej interwencji poselskiej –_ stwierdził Eugeniusz Kłopotek ._
Tokens: 1_____ 2__ 3__ 4_______ 5 6___________ 7 8______ 9 10_ 11_____ 12_ 13____ 14_________ 15________ 16 17________ 18_______ 19______ 20

Chunks:
  TruePositive nam [18,19] = Eugeniusz Kłopotek (confidence=1.00)

(ChunkerEvaluator) Sentence #1138 from 00107313 from sent11

Text  : Polityk PSL zdecydowanie też sprzeciwił się załatwianiu konfliktu z Piterą w_ „_ zaciszu gabinetu ”_ ._
Tokens: 1______ 2__ 3___________ 4__ 5_________ 6__ 7__________ 8________ 9 10____ 11 12 13_____ 14______ 15 16

Chunks:
  TruePositive nam [2,2] = PSL (confidence=0.77)
  TruePositive nam [10,10] = Piterą (confidence=1.00)

(ChunkerEvaluator) Sentence #1139 from 00107313 from sent12

Text  : Kłopotek mówił na konferencji prasowej , że wczoraj takie rozwiązanie sugerował przewodniczący klubu poselskiego Platformy Obywatelskiej Zbigniew Chlebowski ._
Tokens: 1_______ 2____ 3_ 4__________ 5_______ 6 7_ 8______ 9____ 10_________ 11_______ 12____________ 13___ 14_________ 15_______ 16___________ 17______ 18________ 19

Chunks:
  TruePositive nam [15,16] = Platformy Obywatelskiej (confidence=1.00)
  TruePositive nam [17,18] = Zbigniew Chlebowski (confidence=0.94)
  FalseNegative nam [1,1] = Kłopotek

2017-06-14 20:02:44,539 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 66 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107320.xml
(ChunkerEvaluator) Sentence #1140 from 00107320 from sent1

Text  : 2008-10-04 : Fedak zastąpi Pawlaka ?
Tokens: 1_________ 2 3____ 4______ 5______ 6

Chunks:
  TruePositive nam [3,3] = Fedak (confidence=0.97)
  TruePositive nam [5,5] = Pawlaka (confidence=0.94)

(ChunkerEvaluator) Sentence #1141 from 00107320 from sent2

Text  : Jolanta Fedak prawdopodobnie będzie rywalem Waldemar Pawlaka w wyścigu o_ fotel prezesa PSL –_ informuje „_ Rzeczpospolita ”_ ._
Tokens: 1______ 2____ 3_____________ 4_____ 5______ 6_______ 7______ 8 9______ 10 11___ 12_____ 13_ 14 15_______ 16 17____________ 18 19

Chunks:
  TruePositive nam [1,2] = Jolanta Fedak (confidence=1.00)
  TruePositive nam [6,7] = Waldemar Pawlaka (confidence=1.00)
  TruePositive nam [13,13] = PSL (confidence=0.98)
  TruePositive nam [17,17] = Rzeczpospolita (confidence=1.00)

(ChunkerEvaluator) Sentence #1142 from 00107320 from sent3

Text  : Wybory szefa partii odbędą się na początku listopada .
Tokens: 1_____ 2____ 3_____ 4_____ 5__ 6_ 7_______ 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #1143 from 00107320 from sent4

Text  : Dotychczas wydawało się , że z Pawlakiem rywalizować będzie szef resortu rolnictwa Marek Sawicki ._
Tokens: 1_________ 2_______ 3__ 4 5_ 6 7________ 8__________ 9_____ 10__ 11_____ 12_______ 13___ 14_____ 15

Chunks:
  TruePositive nam [7,7] = Pawlakiem (confidence=0.99)
  TruePositive nam [13,14] = Marek Sawicki (confidence=1.00)

(ChunkerEvaluator) Sentence #1144 from 00107320 from sent5

Text  : Jednak po ostatnich aferach w agencjach rynku rolnego notowania ministra rolnictwa mocno spadły ._
Tokens: 1_____ 2_ 3________ 4______ 5 6________ 7____ 8______ 9________ 10______ 11_______ 12___ 13____ 14

Chunks:
  FalseNegative nam [6,8] = agencjach rynku rolnego

(ChunkerEvaluator) Sentence #1145 from 00107320 from sent6

Text  : W związku z tym , w PSL pojawił się pomysł ,_ żeby w_ wyborach wystartowała minister pracy Jolanta Fedak ._
Tokens: 1 2______ 3 4__ 5 6 7__ 8______ 9__ 10____ 11 12__ 13 14______ 15__________ 16______ 17___ 18_____ 19___ 20

Chunks:
  TruePositive nam [7,7] = PSL (confidence=1.00)
  TruePositive nam [18,19] = Jolanta Fedak (confidence=1.00)

(ChunkerEvaluator) Sentence #1146 from 00107320 from sent7

Text  : Sama zainteresowana twierdzi , że nie myśli o stanowisku szefa partii ._
Tokens: 1___ 2_____________ 3_______ 4 5_ 6__ 7____ 8 9_________ 10___ 11____ 12

Chunks:

(ChunkerEvaluator) Sentence #1147 from 00107320 from sent8

Text  : Jeżeli rzeczywiście Fedak nie wystartuje w wyborach , to rywalem Pawlaka będzie prawdopodobnie jakiś młody działacz ._
Tokens: 1_____ 2___________ 3____ 4__ 5_________ 6 7_______ 8 9_ 10_____ 11_____ 12____ 13____________ 14___ 15___ 16______ 17

Chunks:
  TruePositive nam [3,3] = Fedak (confidence=1.00)
  TruePositive nam [11,11] = Pawlaka (confidence=0.99)

(ChunkerEvaluator) Sentence #1148 from 00107320 from sent9

Text  : Obecny prezes PSL Waldemar Pawlak cieszy się w partii ogromnym zaufaniem i_ dlatego to zapewne on ponownie wygra wybory ._
Tokens: 1_____ 2_____ 3__ 4_______ 5_____ 6_____ 7__ 8 9_____ 10______ 11_______ 12 13_____ 14 15_____ 16 17______ 18___ 19____ 20

Chunks:
  TruePositive nam [3,3] = PSL (confidence=0.99)
  TruePositive nam [4,5] = Waldemar Pawlak (confidence=0.68)

(ChunkerEvaluator) Sentence #1149 from 00107320 from sent10

Text  : Kontrkandydat jest jednak potrzebny , bo statut PSL wymaga ,_ by w_ wyborach było co najmniej dwóch kandydatów ._
Tokens: 1____________ 2___ 3_____ 4________ 5 6_ 7_____ 8__ 9_____ 10 11 12 13______ 14__ 15 16______ 17___ 18________ 19

Chunks:
  TruePositive nam [8,8] = PSL (confidence=0.99)

2017-06-14 20:02:44,580 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 67 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107321.xml
(ChunkerEvaluator) Sentence #1150 from 00107321 from sent1

Text  : 2008-11-08 : Warszawa : Kto zostanie nowym prezesem PSL ?_
Tokens: 1_________ 2 3_______ 4 5__ 6_______ 7____ 8_______ 9__ 10

Chunks:
  TruePositive nam [3,3] = Warszawa (confidence=0.99)
  TruePositive nam [9,9] = PSL (confidence=0.99)

(ChunkerEvaluator) Sentence #1151 from 00107321 from sent2

Text  : Okazuje się , że istnieje poważny problem z wyłonieniem drugiego kandydata na prezesa partii ._
Tokens: 1______ 2__ 3 4_ 5_______ 6______ 7______ 8 9__________ 10______ 11_______ 12 13_____ 14____ 15

Chunks:

(ChunkerEvaluator) Sentence #1152 from 00107321 from sent3

Text  : Oczywiste jest , że kandyduje Waldemar Pawlak jednak kto będzie jego rywalem ?_
Tokens: 1________ 2___ 3 4_ 5________ 6_______ 7_____ 8_____ 9__ 10____ 11__ 12_____ 13

Chunks:
  TruePositive nam [6,7] = Waldemar Pawlak (confidence=1.00)

(ChunkerEvaluator) Sentence #1153 from 00107321 from sent4

Text  : Według statutu musi zostać wyłoniony drugi kandydat na prezesa partii ,_ jednak oprócz Waldemara Pawlaka nie ma chętnych na to stanowisko ._
Tokens: 1_____ 2______ 3___ 4_____ 5________ 6____ 7_______ 8_ 9______ 10____ 11 12____ 13____ 14_______ 15_____ 16_ 17 18______ 19 20 21________ 22

Chunks:
  TruePositive nam [14,15] = Waldemara Pawlaka (confidence=1.00)

(ChunkerEvaluator) Sentence #1154 from 00107321 from sent5

Text  : W PSL-u brakuje odważnego , który zmierzył by się z_ obecnym prezesem partii ._
Tokens: 1 2____ 3______ 4________ 5 6____ 7_______ 8_ 9__ 10 11_____ 12______ 13____ 14

Chunks:
  TruePositive nam [2,2] = PSL-u (confidence=0.99)

(ChunkerEvaluator) Sentence #1155 from 00107321 from sent6

Text  : Sytuacja nie jest łatwa i wprowadza atmosferę nerwowości wśród ludowców ._
Tokens: 1_______ 2__ 3___ 4____ 5 6________ 7________ 8_________ 9____ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #1156 from 00107321 from sent7

Text  : Nieoficjalnie do kandydowania ma być przymuszony jeden z członków młodzieżówki ,_ prawdopodobnie asystent Janusza Piechocińskiego ._
Tokens: 1____________ 2_ 3___________ 4_ 5__ 6__________ 7____ 8 9_______ 10__________ 11 12____________ 13______ 14_____ 15_____________ 16

Chunks:
  TruePositive nam [14,15] = Janusza Piechocińskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #1157 from 00107321 from sent8

Text  : Według Eugeniusza Kłopotka nie ma samobójcy , który odważył by się konkurować z_ Pawlakiem ,_ a_ poza tym po co zmieniać prezesa skoro dobrze kieruje partią ._
Tokens: 1_____ 2_________ 3_______ 4__ 5_ 6________ 7 8____ 9______ 10 11_ 12________ 13 14_______ 15 16 17__ 18_ 19 20 21______ 22_____ 23___ 24____ 25_____ 26____ 27

Chunks:
  TruePositive nam [2,3] = Eugeniusza Kłopotka (confidence=1.00)
  TruePositive nam [14,14] = Pawlakiem (confidence=0.99)

2017-06-14 20:02:44,616 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 68 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107329.xml
(ChunkerEvaluator) Sentence #1158 from 00107329 from sent1

Text  : 2009-01-28 : Madagaskar : nasilają się zamieszki antyprezydenckie
Tokens: 1_________ 2 3_________ 4 5_______ 6__ 7________ 8_______________

Chunks:
  TruePositive nam [3,3] = Madagaskar (confidence=1.00)

(ChunkerEvaluator) Sentence #1159 from 00107329 from sent2

Text  : Kilka dni temu zamieszki antyrządowe wybuchły w stolicy Madagaskaru -_ Antananarywie ._
Tokens: 1____ 2__ 3___ 4________ 5__________ 6_______ 7 8______ 9__________ 10 11___________ 12

Chunks:
  TruePositive nam [9,9] = Madagaskaru (confidence=1.00)
  TruePositive nam [11,11] = Antananarywie (confidence=1.00)

(ChunkerEvaluator) Sentence #1160 from 00107329 from sent3

Text  : Dziesiątki tysięcy mieszkańców stolicy wyszły na ulice w proteście przeciwko polityce prezydenta Marca Ravalomanany ,_ który prywatyzuje kraj ,_ sam przy tym zdobywając ogromny majątek ._
Tokens: 1_________ 2______ 3__________ 4______ 5_____ 6_ 7____ 8 9________ 10_______ 11______ 12________ 13___ 14__________ 15 16___ 17_________ 18__ 19 20_ 21__ 22_ 23________ 24_____ 25_____ 26

Chunks:
  TruePositive nam [13,14] = Marca Ravalomanany (confidence=1.00)

(ChunkerEvaluator) Sentence #1161 from 00107329 from sent4

Text  : Niezadowolenie wśród Malgaszy obserwuje się już dawno jednak bezpośrednią przyczyną protestów było zamknięcie stacji telewizyjnej należącej do przywódcy opozycji Andry'ego Rajoeliny ._
Tokens: 1_____________ 2____ 3_______ 4________ 5__ 6__ 7____ 8_____ 9___________ 10_______ 11_______ 12__ 13________ 14____ 15__________ 16_______ 17 18_______ 19______ 20_______ 21_______ 22

Chunks:
  TruePositive nam [3,3] = Malgaszy (confidence=0.99)
  TruePositive nam [20,21] = Andry'ego Rajoeliny (confidence=1.00)

(ChunkerEvaluator) Sentence #1162 from 00107329 from sent5

Text  : W zamieszkach , które rozszerzyły się już na inne duże miasta kraju zginęły dwie osoby ._
Tokens: 1 2__________ 3 4____ 5__________ 6__ 7__ 8_ 9___ 10__ 11____ 12___ 13_____ 14__ 15___ 16

Chunks:

(ChunkerEvaluator) Sentence #1163 from 00107329 from sent6

Text  : Demonstrujący spalili budynek państwowej telewizji , splądrowali dom jednego z_ senatorów popierających Ravalomananę ,_ a_ w_ tej chwili podpalają i_ plądrują wszystko co należy do prezydenta m_ ._ in ._ supermarkety należące do sieci '_ Magro '_ ,_ oszczędzając wszystkie inne sklepy i_ budynki ._
Tokens: 1____________ 2______ 3______ 4_________ 5________ 6 7__________ 8__ 9______ 10 11_______ 12___________ 13__________ 14 15 16 17_ 18____ 19_______ 20 21______ 22______ 23 24____ 25 26________ 27 28 29 30 31__________ 32______ 33 34___ 35 36___ 37 38 39__________ 40_______ 41__ 42____ 43 44_____ 45

Chunks:
  TruePositive nam [13,13] = Ravalomananę (confidence=0.84)
  FalseNegative nam [36,36] = Magro

(ChunkerEvaluator) Sentence #1164 from 00107329 from sent7

Text  : W jednym z podpalonych supermarketów strażacy znaleźli około 20 ciał ._
Tokens: 1 2_____ 3 4__________ 5____________ 6_______ 7_______ 8____ 9_ 10__ 11

Chunks:

2017-06-14 20:02:44,656 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 69 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107334.xml
(ChunkerEvaluator) Sentence #1165 from 00107334 from sent1

Text  : 2009-03-22 : Planica : Adam Małysz zajął drugie miejsce w_ lotach
Tokens: 1_________ 2 3______ 4 5___ 6_____ 7____ 8_____ 9______ 10 11____

Chunks:
  TruePositive nam [3,3] = Planica (confidence=0.83)
  TruePositive nam [5,6] = Adam Małysz (confidence=1.00)

(ChunkerEvaluator) Sentence #1166 from 00107334 from sent2

Text  : Adam Małysz zajął w dzisiejszym konkursie lotów w Planicy drugą pozycje ._
Tokens: 1___ 2_____ 3____ 4 5__________ 6________ 7____ 8 9______ 10___ 11_____ 12

Chunks:
  TruePositive nam [1,2] = Adam Małysz (confidence=1.00)
  TruePositive nam [9,9] = Planicy (confidence=0.85)

(ChunkerEvaluator) Sentence #1167 from 00107334 from sent3

Text  : Dwa równe skoki na odległość 210 i 209 , 5_ metra zapewniły Polakowi drugą pozycję za Finem Harrim Ollim i_ przed Szwajcarem Simonem Ammannem ._
Tokens: 1__ 2____ 3____ 4_ 5________ 6__ 7 8__ 9 10 11___ 12_______ 13______ 14___ 15_____ 16 17___ 18____ 19___ 20 21___ 22________ 23_____ 24______ 25

Chunks:
  TruePositive nam [13,13] = Polakowi (confidence=0.89)
  TruePositive nam [22,22] = Szwajcarem (confidence=0.97)
  TruePositive nam [23,24] = Simonem Ammannem (confidence=0.79)
  FalsePositive nam [17,19] = Finem Harrim Ollim (confidence=0.98) (incorrect boundry)
  FalseNegative nam [17,17] = Finem
  FalseNegative nam [18,19] = Harrim Ollim

(ChunkerEvaluator) Sentence #1168 from 00107334 from sent4

Text  : W klasyfikacji ogólnej Małysz plasuje się na 13 pozycji
Tokens: 1 2___________ 3______ 4_____ 5______ 6__ 7_ 8_ 9______

Chunks:
  TruePositive nam [4,4] = Małysz (confidence=1.00)

(ChunkerEvaluator) Sentence #1169 from 00107334 from sent5

Text  : Kamil Stoch zajął 8 pozycję .
Tokens: 1____ 2____ 3____ 4 5______ 6

Chunks:
  TruePositive nam [1,2] = Kamil Stoch (confidence=1.00)

2017-06-14 20:02:44,675 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 70 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107347.xml
(ChunkerEvaluator) Sentence #1170 from 00107347 from sent1

Text  : 2009-10-02 : Irlandia : powtórkowe referendum ws . traktatu lizbońskiego
Tokens: 1_________ 2 3_______ 4 5_________ 6_________ 7_ 8 9_______ 10__________

Chunks:
  TruePositive nam [3,3] = Irlandia (confidence=1.00)

(ChunkerEvaluator) Sentence #1171 from 00107347 from sent2

Text  : Dzisiaj druga próba ratyfikacji traktatu lizbońskiego .
Tokens: 1______ 2____ 3____ 4__________ 5_______ 6___________ 7

Chunks:

(ChunkerEvaluator) Sentence #1172 from 00107347 from sent3

Text  : O godzinie 8 rano polskiego czasu rozpoczęło się referendum dotyczące tego dokumentu ._
Tokens: 1 2_______ 3 4___ 5________ 6____ 7_________ 8__ 9_________ 10_______ 11__ 12_______ 13

Chunks:

(ChunkerEvaluator) Sentence #1173 from 00107347 from sent4

Text  : W czerwcu 2008 roku Irlandczycy powiedzieli zdecydowane „ Nie ”_ ._
Tokens: 1 2______ 3___ 4___ 5__________ 6__________ 7__________ 8 9__ 10 11

Chunks:
  TruePositive nam [5,5] = Irlandczycy (confidence=0.96)
  FalsePositive nam [9,10] = Nie ” (confidence=0.69) (incorrect boundry)

(ChunkerEvaluator) Sentence #1174 from 00107347 from sent5

Text  : W Irlandii , w przeciwieństwie do innych krajów UE ,_ unijny traktat musi zdobyć aprobatę społeczeństwa ._
Tokens: 1 2_______ 3 4 5______________ 6_ 7_____ 8_____ 9_ 10 11____ 12_____ 13__ 14____ 15______ 16___________ 17

Chunks:
  TruePositive nam [2,2] = Irlandii (confidence=1.00)
  TruePositive nam [9,9] = UE (confidence=0.97)

(ChunkerEvaluator) Sentence #1175 from 00107347 from sent6

Text  : Do godziny 22 głosować ma prawo ponad trzy miliony obywateli ._
Tokens: 1_ 2______ 3_ 4_______ 5_ 6____ 7____ 8___ 9______ 10_______ 11

Chunks:

(ChunkerEvaluator) Sentence #1176 from 00107347 from sent7

Text  : Wyniki będą znane jutro , ale sondaże przedwyborcze mówiły o_ 55 procentach przewagi zwolenników Traktatu ._
Tokens: 1_____ 2___ 3____ 4____ 5 6__ 7______ 8____________ 9_____ 10 11 12________ 13______ 14_________ 15______ 16

Chunks:
  FalsePositive nam [15,15] = Traktatu (confidence=0.96) (incorrect boundry)

(ChunkerEvaluator) Sentence #1177 from 00107347 from sent8

Text  : Jeśli wynik referendum będzie pozytywny , wejście w życie nowego dokumentu ,_ będzie zależało jedynie od prezydentów Czech i_ Polski (_ parlamenty tych krajów już zatwierdziły Traktat )_ ._
Tokens: 1____ 2____ 3_________ 4_____ 5________ 6 7______ 8 9____ 10____ 11_______ 12 13____ 14______ 15_____ 16 17_________ 18___ 19 20____ 21 22________ 23__ 24____ 25_ 26__________ 27_____ 28 29

Chunks:
  TruePositive nam [18,18] = Czech (confidence=1.00)
  TruePositive nam [20,20] = Polski (confidence=1.00)
  FalsePositive nam [27,27] = Traktat (confidence=0.61) (incorrect boundry)

(ChunkerEvaluator) Sentence #1178 from 00107347 from sent9

Text  : Dokument ten umocnić Unię , zwiększyć władzę Parlamentu Europejskiego ,_ uprościć głosowania oraz wyznaczyć prezydenta i_ szefa dyplomacji UE ._
Tokens: 1_______ 2__ 3______ 4___ 5 6________ 7_____ 8_________ 9____________ 10 11______ 12________ 13__ 14_______ 15________ 16 17___ 18________ 19 20

Chunks:
  TruePositive nam [8,9] = Parlamentu Europejskiego (confidence=1.00)
  TruePositive nam [19,19] = UE (confidence=0.92)
  FalsePositive nam [4,4] = Unię (confidence=0.97) (incorrect boundry)

(ChunkerEvaluator) Sentence #1179 from 00107347 from sent10

Text  : Dowiedz się więcej o traktacie lizbońskim w Wikipedii
Tokens: 1______ 2__ 3_____ 4 5________ 6_________ 7 8________

Chunks:
  TruePositive nam [8,8] = Wikipedii (confidence=1.00)

2017-06-14 20:02:44,716 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 71 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107351.xml
(ChunkerEvaluator) Sentence #1180 from 00107351 from sent1

Text  : 2010-02-23 : Afganistan : 1000 zabitych amerykańskich żołnierzy od 2001 roku
Tokens: 1_________ 2 3_________ 4 5___ 6_______ 7____________ 8________ 9_ 10__ 11__

Chunks:
  TruePositive nam [3,3] = Afganistan (confidence=1.00)

(ChunkerEvaluator) Sentence #1181 from 00107351 from sent2

Text  : Od początku operacji Enduring Freedom w Afganistanie zginęło 1000 amerykańskich wojskowych ._
Tokens: 1_ 2_______ 3_______ 4_______ 5______ 6 7___________ 8______ 9___ 10___________ 11________ 12

Chunks:
  TruePositive nam [4,5] = Enduring Freedom (confidence=1.00)
  TruePositive nam [7,7] = Afganistanie (confidence=1.00)

(ChunkerEvaluator) Sentence #1182 from 00107351 from sent3

Text  : Straty całego sojuszu wynoszą 1657 żołnierzy .
Tokens: 1_____ 2_____ 3______ 4______ 5___ 6________ 7

Chunks:

(ChunkerEvaluator) Sentence #1183 from 00107351 from sent4

Text  : Tysięczny żołnierz amerykański zginął 19 lutego podczas działań operacji Musztarak ._
Tokens: 1________ 2_______ 3__________ 4_____ 5_ 6_____ 7______ 8______ 9_______ 10_______ 11

Chunks:
  TruePositive nam [10,10] = Musztarak (confidence=0.55)

(ChunkerEvaluator) Sentence #1184 from 00107351 from sent5

Text  : Kapral Gregory Stultz poniósł śmierć w ostrzale talibskich snajperów ._
Tokens: 1_____ 2______ 3_____ 4______ 5_____ 6 7_______ 8_________ 9________ 10

Chunks:
  TruePositive nam [2,3] = Gregory Stultz (confidence=0.96)

(ChunkerEvaluator) Sentence #1185 from 00107351 from sent6

Text  : Pierwsza ofiara natowskiej interwencji w Afganistanie , która rozpoczęła się 7_ października 2001 roku ,_ zginęła w_ wypadku lotniczym trzy dni później ._
Tokens: 1_______ 2_____ 3_________ 4__________ 5 6___________ 7 8____ 9_________ 10_ 11 12__________ 13__ 14__ 15 16_____ 17 18_____ 19_______ 20__ 21_ 22_____ 23

Chunks:
  TruePositive nam [6,6] = Afganistanie (confidence=1.00)

(ChunkerEvaluator) Sentence #1186 from 00107351 from sent7

Text  : Od tego czasu międzynarodowa koalicja 1657 razy donosiła o zgonach żołnierzy ._
Tokens: 1_ 2___ 3____ 4_____________ 5_______ 6___ 7___ 8_______ 9 10_____ 11_______ 12

Chunks:

(ChunkerEvaluator) Sentence #1187 from 00107351 from sent8

Text  : W szesnastu przypadkach chodziło o polskich żołnierzy .
Tokens: 1 2________ 3__________ 4_______ 5 6_______ 7________ 8

Chunks:

(ChunkerEvaluator) Sentence #1188 from 00107351 from sent9

Text  : Wśród tragicznych statystyk znajdują się żołnierze z 25 krajów ._
Tokens: 1____ 2__________ 3________ 4_______ 5__ 6________ 7 8_ 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #1189 from 00107351 from sent10

Text  : Po Amerykanach najgorszy bilans posiadają Brytyjczycy - 264 zabitych ,_ Kanadyjczycy -_ 140 ofiar ._
Tokens: 1_ 2__________ 3________ 4_____ 5________ 6__________ 7 8__ 9_______ 10 11__________ 12 13_ 14___ 15

Chunks:
  TruePositive nam [2,2] = Amerykanach (confidence=0.78)
  TruePositive nam [6,6] = Brytyjczycy (confidence=0.94)
  TruePositive nam [11,11] = Kanadyjczycy (confidence=0.87)

(ChunkerEvaluator) Sentence #1190 from 00107351 from sent11

Text  : Najwięcej żołnierzy zginęło w prowincji Helmand - bastionie talibskich rebeliantów ,_ bowiem aż 400 ._
Tokens: 1________ 2________ 3______ 4 5________ 6______ 7 8________ 9_________ 10_________ 11 12____ 13 14_ 15

Chunks:
  TruePositive nam [6,6] = Helmand (confidence=0.99)

(ChunkerEvaluator) Sentence #1191 from 00107351 from sent12

Text  : Żołnierze najczęściej giną przez eksplozje min - pułapek , a_ także w_ licznych potyczkach z_ rebeliantami ._
Tokens: 1________ 2__________ 3___ 4____ 5________ 6__ 7 8______ 9 10 11___ 12 13______ 14________ 15 16__________ 17

Chunks:

(ChunkerEvaluator) Sentence #1192 from 00107351 from sent13

Text  : Zdarzają się także katastrofy lotnicze , drogowe czy zabójstwa wynikające z_ stresu wywołanego wojną czy nieporozumień w_ szeregach wojsk ._
Tokens: 1_______ 2__ 3____ 4_________ 5_______ 6 7______ 8__ 9________ 10________ 11 12____ 13________ 14___ 15_ 16___________ 17 18_______ 19___ 20

Chunks:

(ChunkerEvaluator) Sentence #1193 from 00107351 from sent14

Text  : Najwięcej żołnierzy zginęło w roku ubiegłym - 519 , z_ czego 316 to Amerykanie ._
Tokens: 1________ 2________ 3______ 4 5___ 6_______ 7 8__ 9 10 11___ 12_ 13 14________ 15

Chunks:
  TruePositive nam [14,14] = Amerykanie (confidence=1.00)

(ChunkerEvaluator) Sentence #1194 from 00107351 from sent15

Text  : Siły NATO informują , iż obecna operacja w Helmand to pierwszy krok nowej strategii z_ finałem wycofania wosjk alianckich z_ Afganistanu ._
Tokens: 1___ 2___ 3________ 4 5_ 6_____ 7_______ 8 9______ 10 11______ 12__ 13___ 14_______ 15 16_____ 17_______ 18___ 19________ 20 21_________ 22

Chunks:
  TruePositive nam [2,2] = NATO (confidence=0.94)
  TruePositive nam [9,9] = Helmand (confidence=0.97)
  TruePositive nam [21,21] = Afganistanu (confidence=1.00)

(ChunkerEvaluator) Sentence #1195 from 00107351 from sent16

Text  : Celem nowej strategii jest szybko wyszkolić liczną afgańską armię i_ rozbić struktury talibów -_ przede wszystkim w_ prowincji Helmand ._
Tokens: 1____ 2____ 3________ 4___ 5_____ 6________ 7_____ 8_______ 9____ 10 11____ 12_______ 13_____ 14 15____ 16_______ 17 18_______ 19_____ 20

Chunks:
  TruePositive nam [19,19] = Helmand (confidence=0.99)

(ChunkerEvaluator) Sentence #1196 from 00107351 from sent17

Text  : W czasie trwającej ofensywy zginęło już 10 amerykańskich marines ,_ czterech brytyjskich wojskowych oraz jeden o_ nieustalonej narodowości ._
Tokens: 1 2_____ 3________ 4_______ 5______ 6__ 7_ 8____________ 9______ 10 11______ 12_________ 13________ 14__ 15___ 16 17__________ 18_________ 19

Chunks:

(ChunkerEvaluator) Sentence #1197 from 00107351 from sent18

Text  : Ofiar będzie zapewne więcej .
Tokens: 1____ 2_____ 3______ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #1198 from 00107351 from sent19

Text  : Dowództwo NATO informuje , iż obecna operacja ma potrwać jeszcze około miesiąca ._
Tokens: 1________ 2___ 3________ 4 5_ 6_____ 7_______ 8_ 9______ 10_____ 11___ 12______ 13

Chunks:
  TruePositive nam [2,2] = NATO (confidence=0.92)

(ChunkerEvaluator) Sentence #1199 from 00107351 from sent20

Text  : Zobacz też
Tokens: 1_____ 2__

Chunks:

(ChunkerEvaluator) Sentence #1200 from 00107351 from sent21

Text  : Afganistan : w nalocie sił NATO zginęło 33 cywilów ,_ 22 lutego 2010
Tokens: 1_________ 2 3 4______ 5__ 6___ 7______ 8_ 9______ 10 11 12____ 13__

Chunks:
  TruePositive nam [1,1] = Afganistan (confidence=0.96)
  TruePositive nam [6,6] = NATO (confidence=1.00)

(ChunkerEvaluator) Sentence #1201 from 00107351 from sent22

Text  : Talibowie odrzucili apel prezydenta Afganistanu o pokój , 21 lutego 2010
Tokens: 1________ 2________ 3___ 4_________ 5__________ 6 7____ 8 9_ 10____ 11__

Chunks:
  TruePositive nam [5,5] = Afganistanu (confidence=1.00)

(ChunkerEvaluator) Sentence #1202 from 00107351 from sent23

Text  : Helmand : po tygodniu walk Mardża została zdobyta przez wojska afgańskie i_ aliantów ,_ 19 lutego 2010
Tokens: 1______ 2 3_ 4_______ 5___ 6_____ 7______ 8______ 9____ 10____ 11_______ 12 13______ 14 15 16____ 17__

Chunks:
  TruePositive nam [1,1] = Helmand (confidence=0.55)
  TruePositive nam [6,6] = Mardża (confidence=0.92)

(ChunkerEvaluator) Sentence #1203 from 00107351 from sent24

Text  : Źródła
Tokens: 1_____

Chunks:

(ChunkerEvaluator) Sentence #1204 from 00107351 from sent25

Text  : Artykuł opracowano na podstawie danych niezależnego serwisu
Tokens: 1______ 2_________ 3_ 4________ 5_____ 6___________ 7______

Chunks:

======================================================================================
# Exact match evaluation -- annotation span and types evaluation
======================================================================================
        Annotation                     &      TP &      FP &      FN & Precision & Recall  & F$_1$   \\
\hline
        nam                            &     803 &     165 &     170 &    82.95% &  82.53% &  82.74% \\
\hline
        *TOTAL*                        &     803 &     165 &     170 &    82.95% &  82.53% &  82.74% \\


======================================================================================
# Annotation span evaluation (annotation types are ignored)
======================================================================================
        Annotation                     &      TP &      FP &      FN & Precision & Recall  & F$_1$   \\
\hline
        *TOTAL*                        &     803 &     165 &     170 &    82.95% &  82.53% &  82.74% \\


======================================================================================
# MUC match evaluation
======================================================================================
        Annotation                     &     COR &     ACT &     POS & Precision & Recall  & F$_1$   \\
\hline
        nam                            &    1733 &     203 &     230 &    89.51% &  88.28% &  88.89% \\
\hline
        *TOTAL*                        &    1733 &     203 &     230 &    89.51% &  88.28% &  88.89% \\


====================================================
Processing time
====================================================
1) Model loading        : --h 03m 24s (204268646038ns) 
2) Data reading         : --h --m 00s (220703026ns) 
3) Feature generation   : --h --m 00s (855985206ns) 
4) Chunking             : --h --m 01s (1942772595ns) 
5) Evaluation           : --h --m 02s (2210309041ns) (not in total time)
----------------------------------------------------
## Total time             --h 03m 27s (207288106865ns)
----------------------------------------------------
Tokens           :    16871
Text kB          :       97.24
Tokens  / second :       81.39
Text kB / second :        0.47
----------------------------------------------------
***************************************** FOLD 2 *****************************************
2017-06-14 20:02:44,805 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100527.xml
2017-06-14 20:02:44,814 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 2 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100531.xml
2017-06-14 20:02:44,824 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 3 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101201.xml
2017-06-14 20:02:44,828 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101234.xml
2017-06-14 20:02:44,864 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101263.xml
2017-06-14 20:02:44,894 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101276.xml
2017-06-14 20:02:44,897 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 7 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101294.xml
2017-06-14 20:02:44,914 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 8 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101306.xml
2017-06-14 20:02:44,936 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 9 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101317.xml
2017-06-14 20:02:44,938 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 10 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101350.xml
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2017-06-14 20:02:52,285 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 454 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102498.xml
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2017-06-14 20:02:53,923 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 558 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101390.xml
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2017-06-14 20:02:54,140 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 572 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101766.xml
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2017-06-14 20:02:54,232 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 578 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101936.xml
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2017-06-14 20:02:54,346 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 584 from 609: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102087.xml
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2017-06-14 20:02:54,732 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100519.xml
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2017-06-14 20:02:55,481 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 48 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102340.xml
2017-06-14 20:02:55,495 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 49 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102392.xml
2017-06-14 20:02:55,515 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 50 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102394.xml
2017-06-14 20:02:55,537 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 51 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102404.xml
2017-06-14 20:02:55,547 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 52 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102409.xml
2017-06-14 20:02:55,561 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 53 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102422.xml
2017-06-14 20:02:55,580 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 54 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102439.xml
2017-06-14 20:02:55,590 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 55 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102444.xml
2017-06-14 20:02:55,597 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 56 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102463.xml
2017-06-14 20:02:55,608 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 57 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102477.xml
2017-06-14 20:02:55,612 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 58 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102482.xml
2017-06-14 20:02:55,621 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 59 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102504.xml
2017-06-14 20:02:55,629 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 60 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102687.xml
2017-06-14 20:02:55,634 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 61 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103569.xml
2017-06-14 20:02:55,656 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 62 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103639.xml
2017-06-14 20:02:55,701 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 63 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103693.xml
2017-06-14 20:02:55,720 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 64 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103916.xml
2017-06-14 20:02:55,737 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 65 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103948.xml
2017-06-14 20:02:55,754 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 66 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107256.xml
2017-06-14 20:02:55,763 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 67 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107292.xml
2017-06-14 20:02:55,775 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 68 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107326.xml
2017-06-14 20:02:55,791 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 69 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107330.xml
2017-06-14 20:02:55,798 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 70 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107337.xml
2017-06-14 20:02:55,806 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 71 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107348.xml
-> Setting up chunker: chunker_c1
(TokenFeatureGenerator) Loading features...
[orth, base, ctag, synonym, hypernym-1, hypernym-2, hypernym-3, top4hyper-1, top4hyper-2, top4hyper-3, class, case, number, gender, pattern, prefix-1, prefix-2, prefix-3, prefix-4, suffix-1, suffix-2, suffix-3, suffix-4, all_alphanumeric, all_digits, all_letters, all_upper, has_upper_case, has_lower_case, has_symbol, has_digit, starts_with_upper_case, starts_with_lower_case, starts_with_symbol, starts_with_digit, is_number, no_alphanumeric, no_letters, struct, length, dict_person_first_nam, dict_person_last_nam, dict_country_nam, dict_city_nam, dict_road_nam, dict_person_prefix, dict_person_noun, dict_person_suffix, dict_road_prefix, dict_country_prefix, dict_trigger_int_bloc, dict_trigger_ext_bloc, dict_trigger_int_country, dict_trigger_ext_country, dict_trigger_int_district, dict_trigger_ext_district, dict_trigger_int_geogName, dict_trigger_ext_geogName, dict_trigger_int_orgName, dict_trigger_ext_orgName, dict_trigger_int_persName, dict_trigger_ext_persName, dict_trigger_int_region, dict_trigger_ext_region, dict_trigger_int_settlement, dict_trigger_ext_settlement, agr1, parenthesis, quotation, nospace]
--> CRFPP Chunker train
--> Training on file={CV_TRAIN}
(TemplateFactory) parsing template: /home/czuk/nlp/eclipse/workspace_liner2/liner2_master/../models-workdir/liner2.5/liner25_model_ner_kpwr12/ini/template-jrip.txt
(TemplateFactory) Adding feature:orth:-2:-1:0:1:2
(TemplateFactory) feature:orth:-2:-1:0:1:2
(TemplateFactory) Adding feature:base:-2:-1:0:1:2
(TemplateFactory) feature:base:-2:-1:0:1:2
(TemplateFactory) Adding feature:synonym:-2:-1:0:1:2
(TemplateFactory) feature:synonym:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-1:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-2:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-2:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-3:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:class:-1:0:1
(TemplateFactory) feature:class:-1:0:1
(TemplateFactory) Adding feature:case:0
(TemplateFactory) feature:case:0
(TemplateFactory) Adding feature:gender:-2:-1:0:1:2
(TemplateFactory) feature:gender:-2:-1:0:1:2
(TemplateFactory) Adding feature:pattern:0
(TemplateFactory) feature:pattern:0
(TemplateFactory) Adding feature:prefix-1:-2:-1:0:1:2
(TemplateFactory) feature:prefix-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:prefix-3:-2:-1:0:1:2
(TemplateFactory) feature:prefix-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:prefix-4:-2:-1:0:1:2
(TemplateFactory) feature:prefix-4:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-1:-2:-1:0:1:2
(TemplateFactory) feature:suffix-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-2:-2:-1:0:1:2
(TemplateFactory) feature:suffix-2:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-3:-2:-1:0:1:2
(TemplateFactory) feature:suffix-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-4:-2:-1:0:1:2
(TemplateFactory) feature:suffix-4:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_upper_case:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_upper_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_lower_case:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_lower_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_symbol:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_symbol:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_digit:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_digit:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_upper_case:-2:-1:0:1:2
(TemplateFactory) feature:has_upper_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_lower_case:-2:-1:0:1:2
(TemplateFactory) feature:has_lower_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_symbol:-2:-1:0:1:2
(TemplateFactory) feature:has_symbol:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_digit:-2:-1:0:1:2
(TemplateFactory) feature:has_digit:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_first_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_first_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_last_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_last_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_country_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_country_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_city_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_city_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_road_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_road_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_noun:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_noun:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_suffix:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_suffix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_road_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_road_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_country_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_country_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:base:-4/dict_person_first_nam:-3/dict_person_last_nam:-2/base:-1/dict_person_last_nam:0
(TemplateFactory) feature:base:-4/dict_person_first_nam:-3/dict_person_last_nam:-2/base:-1/dict_person_last_nam:0
(TemplateFactory) Adding feature:dict_trigger_int_bloc:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_bloc:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_bloc:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_bloc:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_country:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_country:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_country:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_country:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_district:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_district:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_district:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_district:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_geogName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_geogName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_geogName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_geogName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_orgName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_orgName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_orgName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_orgName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_persName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_persName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_persName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_persName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_region:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_region:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_region:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_region:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_settlement:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_settlement:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_settlement:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_settlement:-2:-1:0:1:2
(TemplateFactory) Adding feature:agr1:-2:-1:0:1:2
(TemplateFactory) feature:agr1:-2:-1:0:1:2
(TemplateFactory) Adding feature:nospace:-2:-1:0:1:2
(TemplateFactory) feature:nospace:-2:-1:0:1:2
(TemplateFactory) Adding feature:parenthesis:-2:-1:0:1:2
(TemplateFactory) feature:parenthesis:-2:-1:0:1:2
(TemplateFactory) Adding feature:quotation:-2:-1:0:1:2
(TemplateFactory) feature:quotation:-2:-1:0:1:2
(TemplateFactory) Adding feature:length:-2:-1:0:1:2
(TemplateFactory) feature:length:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_upper_case:0/agr1:-1/pattern:2/has_upper_case:-1/case:0/number:-1
(TemplateFactory) feature:has_upper_case:0/agr1:-1/pattern:2/has_upper_case:-1/case:0/number:-1
(TemplateFactory) Adding feature:has_upper_case:0/all_digits:-1/all_upper:-2/length:1/nospace:1
(TemplateFactory) feature:has_upper_case:0/all_digits:-1/all_upper:-2/length:1/nospace:1
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/ctag:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/ctag:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/has_upper_case:1
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/has_upper_case:1
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/agr1:1/pattern:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/agr1:1/pattern:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/class:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/class:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/starts_with_digit:-2/starts_with_lower_case:1/case:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/starts_with_digit:-2/starts_with_lower_case:1/case:0
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/has_upper_case:1
(TemplateFactory) feature:has_upper_case:0/ctag:0/has_upper_case:1
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/parenthesis:0/class:2/agr1:2
(TemplateFactory) feature:has_upper_case:0/ctag:0/parenthesis:0/class:2/agr1:2
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/suffix-1:0
(TemplateFactory) feature:has_upper_case:0/ctag:0/suffix-1:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/all_upper:-2/all_alphanumeric:2/starts_with_lower_case:2/all_alphanumeric:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/all_upper:-2/all_alphanumeric:2/starts_with_lower_case:2/all_alphanumeric:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_digit:-2/has_lower_case:0/nospace:-1/nospace:-2/ctag:-1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_digit:-2/has_lower_case:0/nospace:-1/nospace:-2/ctag:-1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-1/all_alphanumeric:2/class:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-1/all_alphanumeric:2/class:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/all_letters:-1/ctag:0/all_alphanumeric:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/all_letters:-1/ctag:0/all_alphanumeric:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/length:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/length:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/starts_with_lower_case:1/orth:-1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/starts_with_lower_case:1/orth:-1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/pattern:-1/class:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/pattern:-1/class:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/pattern:1/parenthesis:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/pattern:1/parenthesis:0
(TemplateFactory) Adding feature:has_upper_case:0/starts_with_lower_case:1/case:0/orth:2
(TemplateFactory) feature:has_upper_case:0/starts_with_lower_case:1/case:0/orth:2
(TemplateFactory) Adding feature:has_upper_case:0/starts_with_lower_case:1/case:0/pattern:1/agr1:1/gender:0
(TemplateFactory) feature:has_upper_case:0/starts_with_lower_case:1/case:0/pattern:1/agr1:1/gender:0
(TemplateFactory) Adding feature:has_upper_case:-1/has_upper_case:0/nospace:-2/pattern:0
(TemplateFactory) feature:has_upper_case:-1/has_upper_case:0/nospace:-2/pattern:0
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/all_letters:1/orth:0/starts_with_lower_case:-2
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/all_letters:1/orth:0/starts_with_lower_case:-2
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/orth:0/nospace:-1
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/orth:0/nospace:-1
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/parenthesis:-2/class:-2/orth:-1
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/parenthesis:-2/class:-2/orth:-1
(TemplateFactory) Adding feature:has_upper_case:-2/has_upper_case:0/orth:-1/nospace:-2
(TemplateFactory) feature:has_upper_case:-2/has_upper_case:0/orth:-1/nospace:-2
(TemplateFactory) Adding feature:has_upper_case:-2/starts_with_upper_case:0/orth:-1
(TemplateFactory) feature:has_upper_case:-2/starts_with_upper_case:0/orth:-1
(TemplateFactory) Adding feature:starts_with_lower_case:-1/has_upper_case:0/case:-1/case:2
(TemplateFactory) feature:starts_with_lower_case:-1/has_upper_case:0/case:-1/case:2
(TemplateFactory) Adding feature:starts_with_lower_case:-1/has_upper_case:0/pattern:-1/ctag:-1/pattern:0
(TemplateFactory) feature:starts_with_lower_case:-1/has_upper_case:0/pattern:-1/ctag:-1/pattern:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_lower_case:-1/all_letters:-1/parenthesis:-2/pattern:1/length:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_lower_case:-1/all_letters:-1/parenthesis:-2/pattern:1/length:0
(TemplateFactory) Adding feature:starts_with_lower_case:-1/starts_with_upper_case:0/class:-1/agr1:0/gender:-1
(TemplateFactory) feature:starts_with_lower_case:-1/starts_with_upper_case:0/class:-1/agr1:0/gender:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/class:-2/no_letters:0/length:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/class:-2/no_letters:0/length:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/agr1:-2/ctag:-2
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/agr1:-2/ctag:-2
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/case:-1/ctag:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/case:-1/ctag:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/ctag:-2/struct:-2
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/ctag:-2/struct:-2
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/quotation:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/quotation:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/pattern:0/length:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/pattern:0/length:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/starts_with_upper_case:0/length:-1/ctag:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/starts_with_upper_case:0/length:-1/ctag:-1
(TemplateFactory) Adding feature:starts_with_upper_case:0/agr1:-1/gender:0/number:0
(TemplateFactory) feature:starts_with_upper_case:0/agr1:-1/gender:0/number:0
(TemplateFactory) Adding feature:starts_with_upper_case:0/agr1:-1/orth:-1/class:-2
(TemplateFactory) feature:starts_with_upper_case:0/agr1:-1/orth:-1/class:-2
(TemplateFactory) Adding feature:starts_with_upper_case:0/class:0/gender:0/prefix-1:0/all_alphanumeric:1
(TemplateFactory) feature:starts_with_upper_case:0/class:0/gender:0/prefix-1:0/all_alphanumeric:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/class:0/starts_with_lower_case:1/struct:2/agr1:1
(TemplateFactory) feature:starts_with_upper_case:0/class:0/starts_with_lower_case:1/struct:2/agr1:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/ctag:0/parenthesis:0/class:1
(TemplateFactory) feature:starts_with_upper_case:0/ctag:0/parenthesis:0/class:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/dict_person_first_nam:-1/class:0/parenthesis:2/ctag:0
(TemplateFactory) feature:starts_with_upper_case:0/dict_person_first_nam:-1/class:0/parenthesis:2/ctag:0
(TemplateFactory) Adding feature:starts_with_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/has_digit:-2/gender:1
(TemplateFactory) feature:starts_with_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/has_digit:-2/gender:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/starts_with_lower_case:1/case:0/suffix-2:1
(TemplateFactory) feature:starts_with_upper_case:0/starts_with_lower_case:1/case:0/suffix-2:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/starts_with_lower_case:1/pattern:1/length:2/nospace:1/case:0/ctag:2
(TemplateFactory) feature:starts_with_upper_case:0/starts_with_lower_case:1/pattern:1/length:2/nospace:1/case:0/ctag:2
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_lower_case:1/all_digits:-2/has_upper_case:1/orth:0
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_lower_case:1/all_digits:-2/has_upper_case:1/orth:0
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_lower_case:1/starts_with_upper_case:0/nospace:2/gender:-1
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_lower_case:1/starts_with_upper_case:0/nospace:2/gender:-1
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/agr1:1/has_lower_case:2
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/agr1:1/has_lower_case:2
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/nospace:0
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/nospace:0
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/pattern:2/suffix-1:-1
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/pattern:2/suffix-1:-1
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Training CRF classifer using features:
orth[-2]
orth[-1]
orth[0]
orth[1]
orth[2]
base[-2]
base[-1]
base[0]
base[1]
base[2]
synonym[-2]
synonym[-1]
synonym[0]
synonym[1]
synonym[2]
hypernym-1[-2]
hypernym-1[-1]
hypernym-1[0]
hypernym-1[1]
hypernym-1[2]
hypernym-2[-2]
hypernym-2[-1]
hypernym-2[0]
hypernym-2[1]
hypernym-2[2]
hypernym-3[-2]
hypernym-3[-1]
hypernym-3[0]
hypernym-3[1]
hypernym-3[2]
class[-1]
class[0]
class[1]
case[0]
gender[-2]
gender[-1]
gender[0]
gender[1]
gender[2]
pattern[0]
prefix-1[-2]
prefix-1[-1]
prefix-1[0]
prefix-1[1]
prefix-1[2]
prefix-3[-2]
prefix-3[-1]
prefix-3[0]
prefix-3[1]
prefix-3[2]
prefix-4[-2]
prefix-4[-1]
prefix-4[0]
prefix-4[1]
prefix-4[2]
suffix-1[-2]
suffix-1[-1]
suffix-1[0]
suffix-1[1]
suffix-1[2]
suffix-2[-2]
suffix-2[-1]
suffix-2[0]
suffix-2[1]
suffix-2[2]
suffix-3[-2]
suffix-3[-1]
suffix-3[0]
suffix-3[1]
suffix-3[2]
suffix-4[-2]
suffix-4[-1]
suffix-4[0]
suffix-4[1]
suffix-4[2]
starts_with_upper_case[-2]
starts_with_upper_case[-1]
starts_with_upper_case[0]
starts_with_upper_case[1]
starts_with_upper_case[2]
starts_with_lower_case[-2]
starts_with_lower_case[-1]
starts_with_lower_case[0]
starts_with_lower_case[1]
starts_with_lower_case[2]
starts_with_symbol[-2]
starts_with_symbol[-1]
starts_with_symbol[0]
starts_with_symbol[1]
starts_with_symbol[2]
starts_with_digit[-2]
starts_with_digit[-1]
starts_with_digit[0]
starts_with_digit[1]
starts_with_digit[2]
has_upper_case[-2]
has_upper_case[-1]
has_upper_case[0]
has_upper_case[1]
has_upper_case[2]
has_lower_case[-2]
has_lower_case[-1]
has_lower_case[0]
has_lower_case[1]
has_lower_case[2]
has_symbol[-2]
has_symbol[-1]
has_symbol[0]
has_symbol[1]
has_symbol[2]
has_digit[-2]
has_digit[-1]
has_digit[0]
has_digit[1]
has_digit[2]
dict_person_first_nam[-2]
dict_person_first_nam[-1]
dict_person_first_nam[0]
dict_person_first_nam[1]
dict_person_first_nam[2]
dict_person_last_nam[-2]
dict_person_last_nam[-1]
dict_person_last_nam[0]
dict_person_last_nam[1]
dict_person_last_nam[2]
dict_country_nam[-2]
dict_country_nam[-1]
dict_country_nam[0]
dict_country_nam[1]
dict_country_nam[2]
dict_city_nam[-2]
dict_city_nam[-1]
dict_city_nam[0]
dict_city_nam[1]
dict_city_nam[2]
dict_road_nam[-2]
dict_road_nam[-1]
dict_road_nam[0]
dict_road_nam[1]
dict_road_nam[2]
dict_person_prefix[-2]
dict_person_prefix[-1]
dict_person_prefix[0]
dict_person_prefix[1]
dict_person_prefix[2]
dict_person_noun[-2]
dict_person_noun[-1]
dict_person_noun[0]
dict_person_noun[1]
dict_person_noun[2]
dict_person_suffix[-2]
dict_person_suffix[-1]
dict_person_suffix[0]
dict_person_suffix[1]
dict_person_suffix[2]
dict_road_prefix[-2]
dict_road_prefix[-1]
dict_road_prefix[0]
dict_road_prefix[1]
dict_road_prefix[2]
dict_country_prefix[-2]
dict_country_prefix[-1]
dict_country_prefix[0]
dict_country_prefix[1]
dict_country_prefix[2]
base[-4]_dict_person_first_nam[-3]_dict_person_last_nam[-2]_base[-1]_dict_person_last_nam[0]
dict_trigger_int_bloc[-2]
dict_trigger_int_bloc[-1]
dict_trigger_int_bloc[0]
dict_trigger_int_bloc[1]
dict_trigger_int_bloc[2]
dict_trigger_ext_bloc[-2]
dict_trigger_ext_bloc[-1]
dict_trigger_ext_bloc[0]
dict_trigger_ext_bloc[1]
dict_trigger_ext_bloc[2]
dict_trigger_int_country[-2]
dict_trigger_int_country[-1]
dict_trigger_int_country[0]
dict_trigger_int_country[1]
dict_trigger_int_country[2]
dict_trigger_ext_country[-2]
dict_trigger_ext_country[-1]
dict_trigger_ext_country[0]
dict_trigger_ext_country[1]
dict_trigger_ext_country[2]
dict_trigger_int_district[-2]
dict_trigger_int_district[-1]
dict_trigger_int_district[0]
dict_trigger_int_district[1]
dict_trigger_int_district[2]
dict_trigger_ext_district[-2]
dict_trigger_ext_district[-1]
dict_trigger_ext_district[0]
dict_trigger_ext_district[1]
dict_trigger_ext_district[2]
dict_trigger_int_geogName[-2]
dict_trigger_int_geogName[-1]
dict_trigger_int_geogName[0]
dict_trigger_int_geogName[1]
dict_trigger_int_geogName[2]
dict_trigger_ext_geogName[-2]
dict_trigger_ext_geogName[-1]
dict_trigger_ext_geogName[0]
dict_trigger_ext_geogName[1]
dict_trigger_ext_geogName[2]
dict_trigger_int_orgName[-2]
dict_trigger_int_orgName[-1]
dict_trigger_int_orgName[0]
dict_trigger_int_orgName[1]
dict_trigger_int_orgName[2]
dict_trigger_ext_orgName[-2]
dict_trigger_ext_orgName[-1]
dict_trigger_ext_orgName[0]
dict_trigger_ext_orgName[1]
dict_trigger_ext_orgName[2]
dict_trigger_int_persName[-2]
dict_trigger_int_persName[-1]
dict_trigger_int_persName[0]
dict_trigger_int_persName[1]
dict_trigger_int_persName[2]
dict_trigger_ext_persName[-2]
dict_trigger_ext_persName[-1]
dict_trigger_ext_persName[0]
dict_trigger_ext_persName[1]
dict_trigger_ext_persName[2]
dict_trigger_int_region[-2]
dict_trigger_int_region[-1]
dict_trigger_int_region[0]
dict_trigger_int_region[1]
dict_trigger_int_region[2]
dict_trigger_ext_region[-2]
dict_trigger_ext_region[-1]
dict_trigger_ext_region[0]
dict_trigger_ext_region[1]
dict_trigger_ext_region[2]
dict_trigger_int_settlement[-2]
dict_trigger_int_settlement[-1]
dict_trigger_int_settlement[0]
dict_trigger_int_settlement[1]
dict_trigger_int_settlement[2]
dict_trigger_ext_settlement[-2]
dict_trigger_ext_settlement[-1]
dict_trigger_ext_settlement[0]
dict_trigger_ext_settlement[1]
dict_trigger_ext_settlement[2]
agr1[-2]
agr1[-1]
agr1[0]
agr1[1]
agr1[2]
nospace[-2]
nospace[-1]
nospace[0]
nospace[1]
nospace[2]
parenthesis[-2]
parenthesis[-1]
parenthesis[0]
parenthesis[1]
parenthesis[2]
quotation[-2]
quotation[-1]
quotation[0]
quotation[1]
quotation[2]
length[-2]
length[-1]
length[0]
length[1]
length[2]
has_upper_case[0]_agr1[-1]_pattern[2]_has_upper_case[-1]_case[0]_number[-1]
has_upper_case[0]_all_digits[-1]_all_upper[-2]_length[1]_nospace[1]
has_upper_case[0]_all_upper[-1]_pattern[-1]_ctag[0]
has_upper_case[0]_all_upper[-1]_pattern[-1]_has_upper_case[1]
has_upper_case[0]_all_upper[-1]_pattern[-1]_pattern[-2]_agr1[1]_pattern[0]
has_upper_case[0]_all_upper[-1]_pattern[-1]_pattern[-2]_class[0]
has_upper_case[0]_all_upper[-1]_starts_with_digit[-2]_starts_with_lower_case[1]_case[0]
has_upper_case[0]_ctag[0]_has_upper_case[1]
has_upper_case[0]_ctag[0]_parenthesis[0]_class[2]_agr1[2]
has_upper_case[0]_ctag[0]_suffix-1[0]
has_upper_case[0]_dict_person_first_nam[-1]_all_upper[-2]_all_alphanumeric[2]_starts_with_lower_case[2]_all_alphanumeric[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_digit[-2]_has_lower_case[0]_nospace[-1]_nospace[-2]_ctag[-1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-1]_all_alphanumeric[2]_class[0]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[2]_all_letters[-1]_ctag[0]_all_alphanumeric[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-2]_length[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-2]_starts_with_lower_case[1]_orth[-1]
has_upper_case[0]_dict_person_first_nam[-1]_pattern[-1]_class[0]
has_upper_case[0]_dict_person_first_nam[-1]_pattern[1]_parenthesis[0]
has_upper_case[0]_starts_with_lower_case[1]_case[0]_orth[2]
has_upper_case[0]_starts_with_lower_case[1]_case[0]_pattern[1]_agr1[1]_gender[0]
has_upper_case[-1]_has_upper_case[0]_nospace[-2]_pattern[0]
has_upper_case[-1]_starts_with_lower_case[1]_all_letters[1]_orth[0]_starts_with_lower_case[-2]
has_upper_case[-1]_starts_with_lower_case[1]_orth[0]_nospace[-1]
has_upper_case[-1]_starts_with_lower_case[1]_parenthesis[-2]_class[-2]_orth[-1]
has_upper_case[-2]_has_upper_case[0]_orth[-1]_nospace[-2]
has_upper_case[-2]_starts_with_upper_case[0]_orth[-1]
starts_with_lower_case[-1]_has_upper_case[0]_case[-1]_case[2]
starts_with_lower_case[-1]_has_upper_case[0]_pattern[-1]_ctag[-1]_pattern[0]
starts_with_lower_case[1]_starts_with_lower_case[-1]_all_letters[-1]_parenthesis[-2]_pattern[1]_length[0]
starts_with_lower_case[-1]_starts_with_upper_case[0]_class[-1]_agr1[0]_gender[-1]
starts_with_lower_case[1]_starts_with_upper_case[-1]_class[-2]_no_letters[0]_length[0]
starts_with_lower_case[1]_starts_with_upper_case[-1]_parenthesis[-2]_agr1[-2]_ctag[-2]
starts_with_lower_case[1]_starts_with_upper_case[-1]_parenthesis[-2]_case[-1]_ctag[0]
starts_with_lower_case[1]_starts_with_upper_case[-2]_agr1[-2]_ctag[-2]_struct[-2]
starts_with_lower_case[1]_starts_with_upper_case[-2]_agr1[-2]_quotation[-1]
starts_with_lower_case[1]_starts_with_upper_case[-2]_pattern[0]_length[-1]
starts_with_lower_case[1]_starts_with_upper_case[-2]_starts_with_upper_case[0]_length[-1]_ctag[-1]
starts_with_upper_case[0]_agr1[-1]_gender[0]_number[0]
starts_with_upper_case[0]_agr1[-1]_orth[-1]_class[-2]
starts_with_upper_case[0]_class[0]_gender[0]_prefix-1[0]_all_alphanumeric[1]
starts_with_upper_case[0]_class[0]_starts_with_lower_case[1]_struct[2]_agr1[1]
starts_with_upper_case[0]_ctag[0]_parenthesis[0]_class[1]
starts_with_upper_case[0]_dict_person_first_nam[-1]_class[0]_parenthesis[2]_ctag[0]
starts_with_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[2]_has_digit[-2]_gender[1]
starts_with_upper_case[0]_starts_with_lower_case[1]_case[0]_suffix-2[1]
starts_with_upper_case[0]_starts_with_lower_case[1]_pattern[1]_length[2]_nospace[1]_case[0]_ctag[2]
starts_with_upper_case[-1]_starts_with_lower_case[1]_all_digits[-2]_has_upper_case[1]_orth[0]
starts_with_upper_case[-1]_starts_with_lower_case[1]_starts_with_upper_case[0]_nospace[2]_gender[-1]
starts_with_upper_case[-1]_starts_with_upper_case[0]_all_upper[-2]_agr1[1]_has_lower_case[2]
starts_with_upper_case[-1]_starts_with_upper_case[0]_all_upper[-2]_nospace[0]
starts_with_upper_case[-1]_starts_with_upper_case[0]_pattern[2]_suffix-1[-1]

CRF++: Yet Another CRF Tool Kit
Copyright (C) 2005-2012 Taku Kudo, All rights reserved.

reading training data: 100.. 200.. 300.. 400.. 500.. 600.. 700.. 800.. 900.. 1000.. 1100.. 1200.. 1300.. 1400.. 1500.. 1600.. 1700.. 1800.. 1900.. 2000.. 2100.. 2200.. 2300.. 2400.. 2500.. 2600.. 2700.. 2800.. 2900.. 3000.. 3100.. 3200.. 3300.. 3400.. 3500.. 3600.. 3700.. 3800.. 3900.. 4000.. 4100.. 4200.. 4300.. 4400.. 4500.. 4600.. 4700.. 4800.. 4900.. 5000.. 5100.. 5200.. 5300.. 5400.. 5500.. 5600.. 5700.. 5800.. 5900.. 6000.. 6100.. 6200.. 6300.. 6400.. 6500.. 6600.. 6700.. 6800.. 6900.. 7000.. 7100.. 7200.. 7300.. 7400.. 7500.. 7600.. 7700.. 7800.. 7900.. 8000.. 8100.. 8200.. 8300.. 8400.. 8500.. 8600.. 8700.. 8800.. 8900.. 9000.. 9100.. 9200.. 9300.. 9400.. 9500.. 9600.. 
Done!37.11 s

Number of sentences: 9601
Number of features:  925683
Number of thread(s): 7
Freq:                5
eta:                 0.00010
C:                   1.00000
shrinking size:      20
iter=0 terr=0.94677 serr=0.99750 act=925683 obj=170223.38246 diff=1.00000
iter=1 terr=0.09259 serr=0.44995 act=925683 obj=206330.59915 diff=0.21212
iter=2 terr=0.09259 serr=0.44995 act=925683 obj=72863.17584 diff=0.64686
iter=3 terr=0.09259 serr=0.44995 act=925683 obj=65681.90344 diff=0.09856
iter=4 terr=0.86727 serr=0.96719 act=925683 obj=202548.16842 diff=2.08377
iter=5 terr=0.09259 serr=0.44995 act=925683 obj=54227.70664 diff=0.73227
iter=6 terr=0.09259 serr=0.44995 act=925683 obj=53309.78732 diff=0.01693
iter=7 terr=0.09259 serr=0.44995 act=925683 obj=50923.00054 diff=0.04477
iter=8 terr=0.09259 serr=0.44995 act=925683 obj=48374.09030 diff=0.05005
iter=9 terr=0.08447 serr=0.42860 act=925683 obj=39658.15997 diff=0.18018
iter=10 terr=0.05771 serr=0.37579 act=925683 obj=31554.90966 diff=0.20433
iter=11 terr=0.04265 serr=0.31465 act=925683 obj=25966.36352 diff=0.17711
iter=12 terr=0.03950 serr=0.27268 act=925683 obj=22370.76705 diff=0.13847
iter=13 terr=0.03832 serr=0.26914 act=925683 obj=21492.97368 diff=0.03924
iter=14 terr=0.03816 serr=0.26601 act=925683 obj=20649.96322 diff=0.03922
iter=15 terr=0.03792 serr=0.26164 act=925683 obj=19914.40224 diff=0.03562
iter=16 terr=0.03721 serr=0.25216 act=925683 obj=19152.13317 diff=0.03828
iter=17 terr=0.03708 serr=0.25008 act=925683 obj=18463.47777 diff=0.03596
iter=18 terr=0.03643 serr=0.24487 act=925683 obj=18022.04917 diff=0.02391
iter=19 terr=0.03559 serr=0.23914 act=925683 obj=17420.24918 diff=0.03339
iter=20 terr=0.03502 serr=0.23425 act=925683 obj=16931.31383 diff=0.02807
iter=21 terr=0.03506 serr=0.23331 act=925683 obj=16557.66305 diff=0.02207
iter=22 terr=0.03473 serr=0.22841 act=925683 obj=15887.55250 diff=0.04047
iter=23 terr=0.03439 serr=0.23237 act=925683 obj=15273.11467 diff=0.03867
iter=24 terr=0.03343 serr=0.22956 act=925683 obj=14367.84917 diff=0.05927
iter=25 terr=0.03421 serr=0.24633 act=925683 obj=14114.41038 diff=0.01764
iter=26 terr=0.03220 serr=0.22581 act=925683 obj=13548.73969 diff=0.04008
iter=27 terr=0.03129 serr=0.22383 act=925683 obj=12992.73730 diff=0.04104
iter=28 terr=0.03210 serr=0.23071 act=925683 obj=13005.51202 diff=0.00098
iter=29 terr=0.03078 serr=0.22435 act=925683 obj=12776.48347 diff=0.01761
iter=30 terr=0.03086 serr=0.22175 act=925683 obj=12559.93215 diff=0.01695
iter=31 terr=0.03110 serr=0.22331 act=925683 obj=12421.96762 diff=0.01098
iter=32 terr=0.03099 serr=0.22164 act=925683 obj=12002.43822 diff=0.03377
iter=33 terr=0.02882 serr=0.20467 act=925683 obj=11030.35985 diff=0.08099
iter=34 terr=0.02990 serr=0.20831 act=925683 obj=10426.93306 diff=0.05471
iter=35 terr=0.02819 serr=0.20342 act=925683 obj=10009.61119 diff=0.04002
iter=36 terr=0.02742 serr=0.19831 act=925683 obj=9729.64354 diff=0.02797
iter=37 terr=0.02654 serr=0.19404 act=925683 obj=9440.68858 diff=0.02970
iter=38 terr=0.02564 serr=0.19206 act=925683 obj=9185.60603 diff=0.02702
iter=39 terr=0.02554 serr=0.19186 act=925683 obj=9043.67428 diff=0.01545
iter=40 terr=0.02520 serr=0.18894 act=925683 obj=8815.11891 diff=0.02527
iter=41 terr=0.02503 serr=0.18581 act=925683 obj=8625.56527 diff=0.02150
iter=42 terr=0.02383 serr=0.17800 act=925683 obj=8374.55243 diff=0.02910
iter=43 terr=0.02377 serr=0.17602 act=925683 obj=8207.10643 diff=0.01999
iter=44 terr=0.02361 serr=0.17321 act=925683 obj=8065.96682 diff=0.01720
iter=45 terr=0.02349 serr=0.17321 act=925683 obj=7995.96231 diff=0.00868
iter=46 terr=0.02261 serr=0.16425 act=925683 obj=7621.37787 diff=0.04685
iter=47 terr=0.02150 serr=0.16467 act=925683 obj=7350.71977 diff=0.03551
iter=48 terr=0.02165 serr=0.16488 act=925683 obj=7063.16459 diff=0.03912
iter=49 terr=0.02081 serr=0.16196 act=925683 obj=6945.65196 diff=0.01664
iter=50 terr=0.02056 serr=0.15905 act=925683 obj=6878.74130 diff=0.00963
iter=51 terr=0.02040 serr=0.15623 act=925683 obj=6796.22699 diff=0.01200
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iter=88 terr=0.01276 serr=0.10738 act=925683 obj=4050.81784 diff=0.01262
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iter=119 terr=0.00791 serr=0.07280 act=925683 obj=2774.67169 diff=0.10851
iter=120 terr=0.00753 serr=0.07083 act=925683 obj=2731.04774 diff=0.01572
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iter=122 terr=0.00722 serr=0.06833 act=925683 obj=2617.90257 diff=0.02735
iter=123 terr=0.00667 serr=0.06510 act=925683 obj=2544.20563 diff=0.02815
iter=124 terr=0.00634 serr=0.06260 act=925683 obj=2504.76411 diff=0.01550
iter=125 terr=0.00621 serr=0.06166 act=925683 obj=2487.23125 diff=0.00700
iter=126 terr=0.00626 serr=0.06187 act=925683 obj=2472.11912 diff=0.00608
iter=127 terr=0.00606 serr=0.06083 act=925683 obj=2429.62643 diff=0.01719
iter=128 terr=0.00587 serr=0.06010 act=925683 obj=2379.09373 diff=0.02080
iter=129 terr=0.00623 serr=0.05937 act=925683 obj=2352.03671 diff=0.01137
iter=130 terr=0.00570 serr=0.05812 act=925683 obj=2311.70247 diff=0.01715
iter=131 terr=0.00561 serr=0.05739 act=925683 obj=2296.74799 diff=0.00647
iter=132 terr=0.00533 serr=0.05499 act=925683 obj=2250.25109 diff=0.02024
iter=133 terr=0.00530 serr=0.05281 act=925683 obj=2220.20167 diff=0.01335
iter=134 terr=0.00507 serr=0.05166 act=925683 obj=2167.69224 diff=0.02365
iter=135 terr=0.00512 serr=0.05197 act=925683 obj=2139.84680 diff=0.01285
iter=136 terr=0.00498 serr=0.05177 act=925683 obj=2091.32480 diff=0.02268
iter=137 terr=0.00573 serr=0.05124 act=925683 obj=2119.40131 diff=0.01343
iter=138 terr=0.00479 serr=0.04958 act=925683 obj=2069.05585 diff=0.02375
iter=139 terr=0.00469 serr=0.04874 act=925683 obj=2048.04722 diff=0.01015
iter=140 terr=0.00442 serr=0.04635 act=925683 obj=2017.01305 diff=0.01515
iter=141 terr=0.00438 serr=0.04572 act=925683 obj=2004.51629 diff=0.00620
iter=142 terr=0.00421 serr=0.04447 act=925683 obj=1966.91296 diff=0.01876
iter=143 terr=0.00404 serr=0.04364 act=925683 obj=1928.29659 diff=0.01963
iter=144 terr=0.00379 serr=0.04114 act=925683 obj=1891.57039 diff=0.01905
iter=145 terr=0.00398 serr=0.04187 act=925683 obj=1886.56914 diff=0.00264
iter=146 terr=0.00368 serr=0.04031 act=925683 obj=1862.58155 diff=0.01271
iter=147 terr=0.00359 serr=0.04010 act=925683 obj=1845.91812 diff=0.00895
iter=148 terr=0.00338 serr=0.03823 act=925683 obj=1808.12321 diff=0.02047
iter=149 terr=0.00335 serr=0.03698 act=925683 obj=1750.82415 diff=0.03169
iter=150 terr=0.00322 serr=0.03729 act=925683 obj=1732.30637 diff=0.01058
iter=151 terr=0.00305 serr=0.03479 act=925683 obj=1713.24802 diff=0.01100
iter=152 terr=0.00303 serr=0.03510 act=925683 obj=1699.44710 diff=0.00806
iter=153 terr=0.00303 serr=0.03416 act=925683 obj=1679.28335 diff=0.01186
iter=154 terr=0.00339 serr=0.03500 act=925683 obj=1677.32935 diff=0.00116
iter=155 terr=0.00305 serr=0.03458 act=925683 obj=1665.35181 diff=0.00714
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iter=161 terr=0.00271 serr=0.03146 act=925683 obj=1556.90992 diff=0.02387
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iter=163 terr=0.00253 serr=0.02948 act=925683 obj=1519.48664 diff=0.01155
iter=164 terr=0.00245 serr=0.02896 act=925683 obj=1486.17614 diff=0.02192
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iter=172 terr=0.00174 serr=0.02177 act=925683 obj=1319.05688 diff=0.02332
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iter=179 terr=0.00131 serr=0.01677 act=925683 obj=1227.19658 diff=0.01458
iter=180 terr=0.00128 serr=0.01635 act=925683 obj=1212.28966 diff=0.01215
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iter=184 terr=0.00114 serr=0.01510 act=925683 obj=1174.25703 diff=0.00766
iter=185 terr=0.00110 serr=0.01458 act=925683 obj=1174.32492 diff=0.00006
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iter=188 terr=0.00093 serr=0.01260 act=925683 obj=1150.36120 diff=0.01087
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iter=190 terr=0.00096 serr=0.01302 act=925683 obj=1141.73325 diff=0.00411
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iter=197 terr=0.00074 serr=0.00979 act=925683 obj=1088.05031 diff=0.00744
iter=198 terr=0.00072 serr=0.00917 act=925683 obj=1078.67865 diff=0.00861
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iter=200 terr=0.00069 serr=0.00937 act=925683 obj=1074.45130 diff=0.00204
iter=201 terr=0.00071 serr=0.00969 act=925683 obj=1072.24256 diff=0.00206
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iter=204 terr=0.00066 serr=0.00864 act=925683 obj=1056.34371 diff=0.00411
iter=205 terr=0.00067 serr=0.00864 act=925683 obj=1053.02219 diff=0.00314
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iter=208 terr=0.00066 serr=0.00844 act=925683 obj=1039.74052 diff=0.00716
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iter=216 terr=0.00028 serr=0.00385 act=925683 obj=982.03557 diff=0.00575
iter=217 terr=0.00026 serr=0.00344 act=925683 obj=976.04854 diff=0.00610
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iter=220 terr=0.00027 serr=0.00323 act=925683 obj=964.15191 diff=0.00460
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iter=226 terr=0.00031 serr=0.00396 act=925683 obj=948.16743 diff=0.00491
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iter=228 terr=0.00027 serr=0.00344 act=925683 obj=943.20394 diff=0.00245
iter=229 terr=0.00028 serr=0.00344 act=925683 obj=941.71483 diff=0.00158
iter=230 terr=0.00028 serr=0.00354 act=925683 obj=940.78936 diff=0.00098
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iter=232 terr=0.00023 serr=0.00281 act=925683 obj=933.84113 diff=0.00383
iter=233 terr=0.00021 serr=0.00271 act=925683 obj=951.99708 diff=0.01944
iter=234 terr=0.00023 serr=0.00281 act=925683 obj=932.40489 diff=0.02058
iter=235 terr=0.00024 serr=0.00292 act=925683 obj=928.51286 diff=0.00417
iter=236 terr=0.00022 serr=0.00260 act=925683 obj=926.36876 diff=0.00231
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iter=239 terr=0.00020 serr=0.00219 act=925683 obj=917.91577 diff=0.00372
iter=240 terr=0.00018 serr=0.00240 act=925683 obj=914.28964 diff=0.00395
iter=241 terr=0.00017 serr=0.00219 act=925683 obj=912.87019 diff=0.00155
iter=242 terr=0.00017 serr=0.00219 act=925683 obj=910.29401 diff=0.00282
iter=243 terr=0.00017 serr=0.00219 act=925683 obj=906.78989 diff=0.00385
iter=244 terr=0.00019 serr=0.00219 act=925683 obj=904.69951 diff=0.00231
iter=245 terr=0.00014 serr=0.00177 act=925683 obj=896.23917 diff=0.00935
iter=246 terr=0.00014 serr=0.00177 act=925683 obj=894.87214 diff=0.00153
iter=247 terr=0.00013 serr=0.00167 act=925683 obj=893.57173 diff=0.00145
iter=248 terr=0.00017 serr=0.00177 act=925683 obj=892.21288 diff=0.00152
iter=249 terr=0.00017 serr=0.00187 act=925683 obj=890.88667 diff=0.00149
iter=250 terr=0.00017 serr=0.00177 act=925683 obj=888.24287 diff=0.00297
iter=251 terr=0.00015 serr=0.00156 act=925683 obj=885.27829 diff=0.00334
iter=252 terr=0.00014 serr=0.00135 act=925683 obj=882.90653 diff=0.00268
iter=253 terr=0.00014 serr=0.00146 act=925683 obj=880.11733 diff=0.00316
iter=254 terr=0.00015 serr=0.00156 act=925683 obj=875.30346 diff=0.00547
iter=255 terr=0.00014 serr=0.00146 act=925683 obj=872.31156 diff=0.00342
iter=256 terr=0.00014 serr=0.00146 act=925683 obj=870.67199 diff=0.00188
iter=257 terr=0.00014 serr=0.00135 act=925683 obj=869.60673 diff=0.00122
iter=258 terr=0.00013 serr=0.00125 act=925683 obj=868.03748 diff=0.00180
iter=259 terr=0.00010 serr=0.00115 act=925683 obj=865.52798 diff=0.00289
iter=260 terr=0.00010 serr=0.00125 act=925683 obj=863.26434 diff=0.00262
iter=261 terr=0.00015 serr=0.00135 act=925683 obj=872.45158 diff=0.01064
iter=262 terr=0.00010 serr=0.00125 act=925683 obj=862.53489 diff=0.01137
iter=263 terr=0.00010 serr=0.00125 act=925683 obj=861.30232 diff=0.00143
iter=264 terr=0.00010 serr=0.00125 act=925683 obj=858.34122 diff=0.00344
iter=265 terr=0.00013 serr=0.00115 act=925683 obj=856.25673 diff=0.00243
iter=266 terr=0.00014 serr=0.00135 act=925683 obj=854.96514 diff=0.00151
iter=267 terr=0.00010 serr=0.00115 act=925683 obj=854.27063 diff=0.00081
iter=268 terr=0.00010 serr=0.00115 act=925683 obj=853.77988 diff=0.00057
iter=269 terr=0.00010 serr=0.00115 act=925683 obj=852.31004 diff=0.00172
iter=270 terr=0.00010 serr=0.00115 act=925683 obj=850.38869 diff=0.00225
iter=271 terr=0.00010 serr=0.00115 act=925683 obj=849.44349 diff=0.00111
iter=272 terr=0.00010 serr=0.00125 act=925683 obj=845.79314 diff=0.00430
iter=273 terr=0.00011 serr=0.00135 act=925683 obj=844.81769 diff=0.00115
iter=274 terr=0.00011 serr=0.00135 act=925683 obj=842.61026 diff=0.00261
iter=275 terr=0.00010 serr=0.00115 act=925683 obj=839.46168 diff=0.00374
iter=276 terr=0.00007 serr=0.00083 act=925683 obj=834.49626 diff=0.00591
iter=277 terr=0.00008 serr=0.00104 act=925683 obj=854.63626 diff=0.02413
iter=278 terr=0.00007 serr=0.00083 act=925683 obj=832.93053 diff=0.02540
iter=279 terr=0.00007 serr=0.00083 act=925683 obj=830.65876 diff=0.00273
iter=280 terr=0.00006 serr=0.00073 act=925683 obj=829.57590 diff=0.00130
iter=281 terr=0.00006 serr=0.00073 act=925683 obj=829.05127 diff=0.00063
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iter=323 terr=0.00006 serr=0.00062 act=925683 obj=788.17686 diff=0.00060
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iter=331 terr=0.00006 serr=0.00073 act=925683 obj=783.47641 diff=0.00089
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iter=335 terr=0.00006 serr=0.00062 act=925683 obj=781.56035 diff=0.00069
iter=336 terr=0.00006 serr=0.00062 act=925683 obj=781.31807 diff=0.00031
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iter=340 terr=0.00006 serr=0.00062 act=925683 obj=783.35498 diff=0.00499
iter=341 terr=0.00006 serr=0.00062 act=925683 obj=779.15434 diff=0.00536
iter=342 terr=0.00006 serr=0.00062 act=925683 obj=778.43453 diff=0.00092
iter=343 terr=0.00006 serr=0.00062 act=925683 obj=777.55972 diff=0.00112
iter=344 terr=0.00006 serr=0.00062 act=925683 obj=776.94253 diff=0.00079
iter=345 terr=0.00006 serr=0.00062 act=925683 obj=776.21019 diff=0.00094
iter=346 terr=0.00006 serr=0.00062 act=925683 obj=775.21615 diff=0.00128
iter=347 terr=0.00006 serr=0.00062 act=925683 obj=774.84665 diff=0.00048
iter=348 terr=0.00006 serr=0.00062 act=925683 obj=774.32389 diff=0.00067
iter=349 terr=0.00006 serr=0.00062 act=925683 obj=773.91299 diff=0.00053
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iter=352 terr=0.00006 serr=0.00062 act=925683 obj=773.11206 diff=0.00300
iter=353 terr=0.00006 serr=0.00062 act=925683 obj=772.89283 diff=0.00028
iter=354 terr=0.00006 serr=0.00062 act=925683 obj=772.44728 diff=0.00058
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iter=356 terr=0.00006 serr=0.00062 act=925683 obj=771.38844 diff=0.00073
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iter=358 terr=0.00006 serr=0.00062 act=925683 obj=770.14136 diff=0.00110
iter=359 terr=0.00006 serr=0.00062 act=925683 obj=769.67497 diff=0.00061
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iter=361 terr=0.00006 serr=0.00062 act=925683 obj=768.77434 diff=0.00062
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iter=363 terr=0.00006 serr=0.00062 act=925683 obj=768.31410 diff=0.00030
iter=364 terr=0.00006 serr=0.00062 act=925683 obj=767.73534 diff=0.00075
iter=365 terr=0.00006 serr=0.00062 act=925683 obj=766.75168 diff=0.00128
iter=366 terr=0.00006 serr=0.00062 act=925683 obj=766.39436 diff=0.00047
iter=367 terr=0.00006 serr=0.00062 act=925683 obj=765.38312 diff=0.00132
iter=368 terr=0.00006 serr=0.00062 act=925683 obj=765.10519 diff=0.00036
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iter=370 terr=0.00006 serr=0.00062 act=925683 obj=764.32584 diff=0.00050
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iter=373 terr=0.00006 serr=0.00062 act=925683 obj=763.37206 diff=0.00039
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iter=377 terr=0.00006 serr=0.00062 act=925683 obj=762.56474 diff=0.00020
iter=378 terr=0.00006 serr=0.00062 act=925683 obj=762.31566 diff=0.00033
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iter=380 terr=0.00006 serr=0.00062 act=925683 obj=761.87025 diff=0.00086
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iter=382 terr=0.00006 serr=0.00062 act=925683 obj=761.48870 diff=0.00016
iter=383 terr=0.00006 serr=0.00062 act=925683 obj=761.44124 diff=0.00006
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iter=385 terr=0.00006 serr=0.00062 act=925683 obj=761.08060 diff=0.00025
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iter=388 terr=0.00006 serr=0.00062 act=925683 obj=760.35059 diff=0.00170
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iter=443 terr=0.00006 serr=0.00062 act=925683 obj=750.99766 diff=0.00028
iter=444 terr=0.00006 serr=0.00062 act=925683 obj=750.98992 diff=0.00001
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iter=447 terr=0.00006 serr=0.00062 act=925683 obj=750.57082 diff=0.00031
iter=448 terr=0.00006 serr=0.00062 act=925683 obj=750.56763 diff=0.00000
iter=449 terr=0.00006 serr=0.00062 act=925683 obj=750.49610 diff=0.00010
iter=450 terr=0.00006 serr=0.00062 act=925683 obj=750.37849 diff=0.00016
iter=451 terr=0.00006 serr=0.00062 act=925683 obj=750.22741 diff=0.00020
iter=452 terr=0.00006 serr=0.00062 act=925683 obj=750.10700 diff=0.00016
iter=453 terr=0.00006 serr=0.00062 act=925683 obj=749.96970 diff=0.00018
iter=454 terr=0.00006 serr=0.00062 act=925683 obj=749.90740 diff=0.00008
iter=455 terr=0.00006 serr=0.00062 act=925683 obj=749.82458 diff=0.00011
iter=456 terr=0.00006 serr=0.00062 act=925683 obj=749.73259 diff=0.00012
iter=457 terr=0.00006 serr=0.00062 act=925683 obj=750.01249 diff=0.00037
iter=458 terr=0.00006 serr=0.00062 act=925683 obj=749.66035 diff=0.00047
iter=459 terr=0.00006 serr=0.00062 act=925683 obj=749.49541 diff=0.00022
iter=460 terr=0.00006 serr=0.00062 act=925683 obj=749.37039 diff=0.00017
iter=461 terr=0.00006 serr=0.00062 act=925683 obj=749.39770 diff=0.00004
iter=462 terr=0.00006 serr=0.00062 act=925683 obj=749.29262 diff=0.00014
iter=463 terr=0.00006 serr=0.00062 act=925683 obj=749.23991 diff=0.00007
iter=464 terr=0.00006 serr=0.00062 act=925683 obj=749.09972 diff=0.00019
iter=465 terr=0.00006 serr=0.00062 act=925683 obj=748.84126 diff=0.00035
iter=466 terr=0.00006 serr=0.00062 act=925683 obj=748.70803 diff=0.00018
iter=467 terr=0.00006 serr=0.00062 act=925683 obj=748.59182 diff=0.00016
iter=468 terr=0.00006 serr=0.00062 act=925683 obj=748.52667 diff=0.00009
iter=469 terr=0.00006 serr=0.00062 act=925683 obj=748.53322 diff=0.00001
iter=470 terr=0.00006 serr=0.00062 act=925683 obj=748.50606 diff=0.00004

Done!805.58 s

-> Setting up chunker: chunker_cp
--> Chunk propagation
2017-06-14 20:06:30,494 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100519.xml
(ChunkerEvaluator) Sentence #1 from 00100519 from sent1

Text  : Obelisk przy ulicy Lindleya
Tokens: 1______ 2___ 3____ 4_______

Chunks:
  TruePositive nam [4,4] = Lindleya (confidence=1.00)

(ChunkerEvaluator) Sentence #2 from 00100519 from sent2

Text  : Zabytkowy obelisk znajduje się u zbiegu ulic Lindleya i Nowogrodzkiej ._
Tokens: 1________ 2______ 3_______ 4__ 5 6_____ 7___ 8_______ 9 10___________ 11

Chunks:
  TruePositive nam [8,8] = Lindleya (confidence=1.00)
  TruePositive nam [10,10] = Nowogrodzkiej (confidence=0.97)

(ChunkerEvaluator) Sentence #3 from 00100519 from sent3

Text  : Wystawiony w roku 1799 , pierwotnie upamiętniał likwidację cmentarza przy szpitalu Dzieciątka Jezus ,_ który wtedy miał siedzibę w_ rejonie dzisiejszego Placu Powstańców Warszawy ._
Tokens: 1_________ 2 3___ 4___ 5 6_________ 7__________ 8_________ 9________ 10__ 11______ 12________ 13___ 14 15___ 16___ 17__ 18______ 19 20_____ 21__________ 22___ 23________ 24______ 25

Chunks:
  TruePositive nam [22,24] = Placu Powstańców Warszawy (confidence=1.00)
  FalsePositive nam [13,13] = Jezus (confidence=0.93) (incorrect boundry)
  FalseNegative nam [11,13] = szpitalu Dzieciątka Jezus

(ChunkerEvaluator) Sentence #4 from 00100519 from sent4

Text  : Po przeniesieniu szpitala w roku 1901 pod adres Lindleya 4_ (_ wtedy jeszcze był to fragment ulicy Żelaznej )_ umieszczony został na obecnym miejscu ._
Tokens: 1_ 2____________ 3_______ 4 5___ 6___ 7__ 8____ 9_______ 10 11 12___ 13_____ 14_ 15 16______ 17___ 18______ 19 20_________ 21____ 22 23_____ 24_____ 25

Chunks:
  TruePositive nam [9,9] = Lindleya (confidence=1.00)
  TruePositive nam [18,18] = Żelaznej (confidence=1.00)

(ChunkerEvaluator) Sentence #5 from 00100519 from sent5

Text  : Opis
Tokens: 1___

Chunks:

(ChunkerEvaluator) Sentence #6 from 00100519 from sent6

Text  : Wykonany z piaskowca pomnik o wysokości około dwóch metrów posadowiony jest na trójstopniowej podstawie i_ składa się z_ prostopadłościennego cokołu i_ czworościennego smukłego obelisku ._
Tokens: 1_______ 2 3________ 4_____ 5 6________ 7____ 8____ 9_____ 10_________ 11__ 12 13____________ 14_______ 15 16____ 17_ 18 19__________________ 20____ 21 22_____________ 23______ 24______ 25

Chunks:

(ChunkerEvaluator) Sentence #7 from 00100519 from sent7

Text  : Na przedniej płycie cokołu zachowany pierwotny napis z roku 1799 :_ "_ Boże bądź miłościw zmarłym w_ szpitalu r_ ._ 1757 a_ tu do 30 ._ 000 pogrzebionym AD 1799 "_ ._
Tokens: 1_ 2________ 3_____ 4_____ 5________ 6________ 7____ 8 9___ 10__ 11 12 13__ 14__ 15______ 16_____ 17 18______ 19 20 21__ 22 23 24 25 26 27_ 28__________ 29 30__ 31 32

Chunks:
  FalseNegative nam [13,13] = Boże

(ChunkerEvaluator) Sentence #8 from 00100519 from sent8

Text  : Na tylnej ścianie w płycinie znajduje się wyrysowany plan dawnego cmentarza na rzucie prostokątnego trapezu ,_ wraz z_ długościami każdego z_ boków podanymi w_ łokciach -_ odpowiednio 53 ,_ 75 ,_ 83 i_ 69 łokci ._
Tokens: 1_ 2_____ 3______ 4 5_______ 6_______ 7__ 8_________ 9___ 10_____ 11_______ 12 13____ 14___________ 15_____ 16 17__ 18 19_________ 20_____ 21 22___ 23______ 24 25______ 26 27_________ 28 29 30 31 32 33 34 35___ 36

Chunks:

(ChunkerEvaluator) Sentence #9 from 00100519 from sent9

Text  : Na bocznych płaszczyznach cokołu znajdują się dwie inskrypcje z roku 1901 :_ "_ Przeniesiony z_ dawnego szpitala 1901 "_ oraz na drugim "_ Szczątki zmarłych pochowane na cmentarzu św ._ Wincentego 1901 "_ ._
Tokens: 1_ 2_______ 3____________ 4_____ 5_______ 6__ 7___ 8_________ 9 10__ 11__ 12 13 14__________ 15 16_____ 17______ 18__ 19 20__ 21 22____ 23 24______ 25______ 26_______ 27 28_______ 29 30 31________ 32__ 33 34

Chunks:
  FalsePositive nam [31,31] = Wincentego (confidence=0.91) (incorrect boundry)
  FalseNegative nam [29,31] = św . Wincentego

(ChunkerEvaluator) Sentence #10 from 00100519 from sent10

Text  : Obecnie piaskowiec z którego wykonany jest obelisk nosi ślady silnej erozji ._
Tokens: 1______ 2_________ 3 4______ 5_______ 6___ 7______ 8___ 9____ 10____ 11____ 12

Chunks:

2017-06-14 20:06:30,562 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 2 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100524.xml
(ChunkerEvaluator) Sentence #11 from 00100524 from sent1

Text  : Rublowka
Tokens: 1_______

Chunks:
  TruePositive nam [1,1] = Rublowka (confidence=0.76)

(ChunkerEvaluator) Sentence #12 from 00100524 from sent2

Text  : Rublowka ( ros . Рублёвка ) – potoczna nazwa zachodniego przedmieścia Moskwy ._
Tokens: 1_______ 2 3__ 4 5_______ 6 7 8_______ 9____ 10_________ 11__________ 12____ 13

Chunks:
  TruePositive nam [1,1] = Rublowka (confidence=0.69)
  TruePositive nam [5,5] = Рублёвка (confidence=0.98)
  TruePositive nam [12,12] = Moskwy (confidence=0.99)

(ChunkerEvaluator) Sentence #13 from 00100524 from sent3

Text  : Dawniej miejsce wypoczynku Józefa Stalina , Leonida Breżniewa , Borysa Jelcyna oraz innych przywódców sowieckich ._
Tokens: 1______ 2______ 3_________ 4_____ 5______ 6 7______ 8________ 9 10____ 11_____ 12__ 13____ 14________ 15________ 16

Chunks:
  TruePositive nam [4,5] = Józefa Stalina (confidence=1.00)
  TruePositive nam [7,8] = Leonida Breżniewa (confidence=1.00)
  TruePositive nam [10,11] = Borysa Jelcyna (confidence=1.00)

(ChunkerEvaluator) Sentence #14 from 00100524 from sent4

Text  : Zmarli tam Włodzimierz Lenin i Józef Stalin .
Tokens: 1_____ 2__ 3__________ 4____ 5 6____ 7_____ 8

Chunks:
  TruePositive nam [3,4] = Włodzimierz Lenin (confidence=1.00)
  TruePositive nam [6,7] = Józef Stalin (confidence=1.00)

(ChunkerEvaluator) Sentence #15 from 00100524 from sent5

Text  : Obecnie skupisko rezydencji milionerów i jedno z najbardziej prestiżowych miejsc w_ Rosji ._
Tokens: 1______ 2_______ 3_________ 4_________ 5 6____ 7 8__________ 9___________ 10____ 11 12___ 13

Chunks:
  TruePositive nam [12,12] = Rosji (confidence=1.00)

(ChunkerEvaluator) Sentence #16 from 00100524 from sent6

Text  : Dojazd z Moskwy szerokim prospektem Kutuzowa .
Tokens: 1_____ 2 3_____ 4_______ 5_________ 6_______ 7

Chunks:
  TruePositive nam [3,3] = Moskwy (confidence=1.00)
  FalsePositive nam [6,6] = Kutuzowa (confidence=1.00) (incorrect boundry)
  FalseNegative nam [5,6] = prospektem Kutuzowa

(ChunkerEvaluator) Sentence #17 from 00100524 from sent7

Text  : W miejscowościach położonych przy wąskiej i krętej szosie Rublowsko -_ Uspienskiej ,_ zwanej Rublowką mieszkają najbogatsi Rosjanie ,_ najwyżsi rosyjscy urzędnicy ,_ ministrowie ,_ szefowie administracji Kremla ._
Tokens: 1 2______________ 3_________ 4___ 5______ 6 7_____ 8_____ 9________ 10 11_________ 12 13____ 14______ 15_______ 16________ 17______ 18 19______ 20______ 21_______ 22 23_________ 24 25______ 26___________ 27____ 28

Chunks:
  TruePositive nam [9,11] = Rublowsko - Uspienskiej (confidence=1.00)
  TruePositive nam [14,14] = Rublowką (confidence=1.00)
  TruePositive nam [17,17] = Rosjanie (confidence=0.80)
  TruePositive nam [27,27] = Kremla (confidence=0.80)

(ChunkerEvaluator) Sentence #18 from 00100524 from sent8

Text  : Najbardziej znane i prestiżowe wioski Rublowki to odległe od siebie o_ 3_ km Barwicha i_ Żukowka –_ obie bardzo zatłoczone ._
Tokens: 1__________ 2____ 3 4_________ 5_____ 6_______ 7_ 8______ 9_ 10____ 11 12 13 14______ 15 16_____ 17 18__ 19____ 20________ 21

Chunks:
  TruePositive nam [6,6] = Rublowki (confidence=1.00)
  TruePositive nam [14,14] = Barwicha (confidence=0.93)
  TruePositive nam [16,16] = Żukowka (confidence=0.75)

(ChunkerEvaluator) Sentence #19 from 00100524 from sent9

Text  : W Barwisze wciąż jest rozbudowywany , jedyny w swoim rodzaju ,_ wiejski dom towarowy nazwany Barvicha Luxury Village –_ Barwicha Wioska Luksusu ._
Tokens: 1 2_______ 3____ 4___ 5____________ 6 7_____ 8 9____ 10_____ 11 12_____ 13_ 14______ 15_____ 16______ 17____ 18_____ 19 20______ 21____ 22_____ 23

Chunks:
  TruePositive nam [2,2] = Barwisze (confidence=0.96)
  TruePositive nam [16,18] = Barvicha Luxury Village (confidence=1.00)
  TruePositive nam [20,22] = Barwicha Wioska Luksusu (confidence=0.99)

(ChunkerEvaluator) Sentence #20 from 00100524 from sent10

Text  : Jest to ciągnący się na kilometr rząd piętrowych butików z_ luksusowymi towarami najbardziej znanych i_ drogich producentów odzieży (_ Armani ,_ Brioni ,_ Dolce &_ Gabbana )_ ,_ firm jubilerskich (_ Bulgari ,_ Chopard ,_ Tiffany )_ ,_ salonów z_ superdrogimi samochodami legendarnych marek (_ Bentley ,_ Maserati ,_ Ferrari ,_ Lamborghini )_ ._
Tokens: 1___ 2_ 3_______ 4__ 5_ 6_______ 7___ 8_________ 9______ 10 11_________ 12______ 13_________ 14_____ 15 16_____ 17_________ 18_____ 19 20____ 21 22____ 23 24___ 25 26_____ 27 28 29__ 30__________ 31 32_____ 33 34_____ 35 36_____ 37 38 39_____ 40 41__________ 42_________ 43__________ 44___ 45 46_____ 47 48______ 49 50_____ 51 52_________ 53 54

Chunks:
  TruePositive nam [20,20] = Armani (confidence=1.00)
  TruePositive nam [22,22] = Brioni (confidence=1.00)
  TruePositive nam [32,32] = Bulgari (confidence=0.89)
  TruePositive nam [34,34] = Chopard (confidence=1.00)
  TruePositive nam [36,36] = Tiffany (confidence=1.00)
  TruePositive nam [46,46] = Bentley (confidence=1.00)
  TruePositive nam [48,48] = Maserati (confidence=1.00)
  TruePositive nam [50,50] = Ferrari (confidence=1.00)
  TruePositive nam [52,52] = Lamborghini (confidence=0.93)
  FalsePositive nam [24,24] = Dolce (confidence=1.00) (incorrect boundry)
  FalsePositive nam [26,26] = Gabbana (confidence=0.96) (incorrect boundry)
  FalseNegative nam [24,26] = Dolce & Gabbana

(ChunkerEvaluator) Sentence #21 from 00100524 from sent11

Text  : W Żukowce najbardziej popularnym osiedlem jest Jabłoniewyj Sad .
Tokens: 1 2______ 3__________ 4_________ 5_______ 6___ 7__________ 8__ 9

Chunks:
  TruePositive nam [2,2] = Żukowce (confidence=0.97)
  TruePositive nam [7,8] = Jabłoniewyj Sad (confidence=1.00)

2017-06-14 20:06:30,619 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 3 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100607.xml
(ChunkerEvaluator) Sentence #22 from 00100607 from sent1

Text  : Ben Vershbow na blogu if : book opisuje rozwój projektu Google Books ,_ który umożliwia już nie tylko przeglądanie zeskanowanych w_ ramach projektu książek ,_ ale też przeglądanie informacji o_ książkach ,_ których skany są jeszcze niedostępne ._
Tokens: 1__ 2_______ 3_ 4____ 5_ 6 7___ 8______ 9_____ 10______ 11____ 12___ 13 14___ 15_______ 16_ 17_ 18___ 19__________ 20___________ 21 22____ 23______ 24_____ 25 26_ 27_ 28__________ 29________ 30 31_______ 32 33_____ 34___ 35 36_____ 37_________ 38

Chunks:
  TruePositive nam [1,2] = Ben Vershbow (confidence=1.00)
  TruePositive nam [11,12] = Google Books (confidence=1.00)
  FalseNegative nam [5,7] = if : book

(ChunkerEvaluator) Sentence #23 from 00100607 from sent2

Text  : Vershbow zauważa , że w takiej postaci Google Books ,_ podobnie jak katalog Amazon ,_ stają się cennym źródłem bibliograficznym ._
Tokens: 1_______ 2______ 3 4_ 5 6_____ 7______ 8_____ 9____ 10 11______ 12_ 13_____ 14____ 15 16___ 17_ 18____ 19_____ 20______________ 21

Chunks:
  TruePositive nam [1,1] = Vershbow (confidence=0.79)
  TruePositive nam [8,9] = Google Books (confidence=1.00)
  TruePositive nam [14,14] = Amazon (confidence=0.67)

(ChunkerEvaluator) Sentence #24 from 00100607 from sent3

Text  : Problem w tym , że nie są to źródła otwarte ._
Tokens: 1______ 2 3__ 4 5_ 6__ 7_ 8_ 9_____ 10_____ 11

Chunks:

(ChunkerEvaluator) Sentence #25 from 00100607 from sent4

Text  : Stąd pomysł , by połączyć razem różnorakie źródła – biorąc choćby opisy tytułów z_ Wikipedii –_ w_ jeden “_ Katalog Społeczny ”_ (_ People ’_ s_ Card Catalogue )_ ._
Tokens: 1___ 2_____ 3 4_ 5_______ 6____ 7_________ 8_____ 9 10____ 11____ 12___ 13_____ 14 15_______ 16 17 18___ 19 20_____ 21_______ 22 23 24____ 25 26 27__ 28_______ 29 30

Chunks:
  TruePositive nam [15,15] = Wikipedii (confidence=1.00)
  TruePositive nam [20,21] = Katalog Społeczny (confidence=1.00)
  TruePositive nam [24,28] = People ’ s Card Catalogue (confidence=1.00)

(ChunkerEvaluator) Sentence #26 from 00100607 from sent5

Text  : Katalog ten był by swobodnie dostępny , także do edycji ,_ a_ w_ nim każda książka posiadała by własną stronę ,_ na której można by rozwijać jej opisy ,_ toczyć dyskusje ,_ itd ._
Tokens: 1______ 2__ 3__ 4_ 5________ 6_______ 7 8____ 9_ 10____ 11 12 13 14_ 15___ 16_____ 17_______ 18 19____ 20____ 21 22 23____ 24___ 25 26______ 27_ 28___ 29 30____ 31______ 32 33_ 34

Chunks:

(ChunkerEvaluator) Sentence #27 from 00100607 from sent6

Text  : “ Jak na razie Google prowadzi w budowaniu nowoczesnego systemu bibliograficznego ._
Tokens: 1 2__ 3_ 4____ 5_____ 6_______ 7 8________ 9___________ 10_____ 11_______________ 12

Chunks:
  TruePositive nam [5,5] = Google (confidence=1.00)

(ChunkerEvaluator) Sentence #28 from 00100607 from sent7

Text  : Przez to katalog tytułów przyszłości stanie się równocześnie źródłem znaczących zysków reklamowych ._
Tokens: 1____ 2_ 3______ 4______ 5__________ 6_____ 7__ 8___________ 9______ 10________ 11____ 12_________ 13

Chunks:

(ChunkerEvaluator) Sentence #29 from 00100607 from sent8

Text  : Niech Google robi swoje – ale czy nie mogli by śmy stworzyć czegoś lepszego ?_ ”_
Tokens: 1____ 2_____ 3___ 4____ 5 6__ 7__ 8__ 9____ 10 11_ 12______ 13____ 14______ 15 16

Chunks:
  TruePositive nam [2,2] = Google (confidence=0.99)

(ChunkerEvaluator) Sentence #30 from 00100607 from sent9

Text  : Vershbow zwraca uwagę na kluczową kwestię – że niezbędne są niekomercyjne ,_ otwarte alternatywy dla działań dygitalizacyjnych podejmowanych dziś przede wszystkim przez komercyjne firmy ._
Tokens: 1_______ 2_____ 3____ 4_ 5_______ 6______ 7 8_ 9________ 10 11___________ 12 13_____ 14_________ 15_ 16_____ 17_______________ 18___________ 19__ 20____ 21_______ 22___ 23________ 24___ 25

Chunks:
  TruePositive nam [1,1] = Vershbow (confidence=0.94)

2017-06-14 20:06:30,675 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100634.xml
(ChunkerEvaluator) Sentence #31 from 00100634 from sent1

Text  : Pomysł na powstanie tej strony www zrodził się z zainteresowań kulturą i_ wierzeniami naszych przodków ._
Tokens: 1_____ 2_ 3________ 4__ 5_____ 6__ 7______ 8__ 9 10___________ 11_____ 12 13_________ 14_____ 15______ 16

Chunks:
  FalseNegative nam [6,6] = www

(ChunkerEvaluator) Sentence #32 from 00100634 from sent2

Text  : Każdy chrześcijanin , jak i Polak zarazem , powinien znać swoje korzenie ._
Tokens: 1____ 2____________ 3 4__ 5 6____ 7______ 8 9_______ 10__ 11___ 12______ 13

Chunks:
  TruePositive nam [6,6] = Polak (confidence=0.99)

(ChunkerEvaluator) Sentence #33 from 00100634 from sent3

Text  : Powinien mieć także świadomość , że obrzędy , których jest uczestnikiem ,_ mają swój początek w_ erze przedchrześcijańskiej ._
Tokens: 1_______ 2___ 3____ 4_________ 5 6_ 7______ 8 9______ 10__ 11__________ 12 13__ 14__ 15______ 16 17__ 18___________________ 19

Chunks:

(ChunkerEvaluator) Sentence #34 from 00100634 from sent4

Text  : Na początku dokonano ogólnej charakterystyki społeczności Słowian .
Tokens: 1_ 2_______ 3_______ 4______ 5______________ 6___________ 7______ 8

Chunks:
  TruePositive nam [7,7] = Słowian (confidence=0.98)

(ChunkerEvaluator) Sentence #35 from 00100634 from sent5

Text  : Zwrócono uwagę przy tym na pochodzenie ich wierzeń .
Tokens: 1_______ 2____ 3___ 4__ 5_ 6__________ 7__ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #36 from 00100634 from sent6

Text  : Cytując Stanisława Urbańczyka , zcharakteryzowano bóstwa , którym Słowianie oddawali część ._
Tokens: 1______ 2_________ 3_________ 4 5________________ 6_____ 7 8_____ 9________ 10______ 11___ 12

Chunks:
  TruePositive nam [2,3] = Stanisława Urbańczyka (confidence=1.00)
  TruePositive nam [9,9] = Słowianie (confidence=0.97)

(ChunkerEvaluator) Sentence #37 from 00100634 from sent7

Text  : Wierzenia obejmowały również tzw . siły nieczyste , stąd w_ ich wierzeniach obecność wampirów ,_ nimf itp ._
Tokens: 1________ 2_________ 3______ 4__ 5 6___ 7________ 8 9___ 10 11_ 12_________ 13______ 14______ 15 16__ 17_ 18

Chunks:

(ChunkerEvaluator) Sentence #38 from 00100634 from sent8

Text  : Przedstawiono również miejsca kultu , czyli elementy przyrody , a_ z_ czasem tzw ._ sanktuaria ._
Tokens: 1____________ 2______ 3______ 4____ 5 6____ 7_______ 8_______ 9 10 11 12____ 13_ 14 15________ 16

Chunks:

(ChunkerEvaluator) Sentence #39 from 00100634 from sent9

Text  : Obrzędy religijne opisano w układzie chronologicznym , w ciągu roku ._
Tokens: 1______ 2________ 3______ 4 5_______ 6______________ 7 8 9____ 10__ 11

Chunks:

(ChunkerEvaluator) Sentence #40 from 00100634 from sent10

Text  : Zamieszczono także wykaz najważniejszych publikacji poświęconych sferze duchowej naszych przodków ._
Tokens: 1___________ 2____ 3____ 4______________ 5_________ 6___________ 7_____ 8_______ 9______ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #41 from 00100634 from sent11

Text  : Utworzono też wykaz linków do ciekawych stron związanych z tą tematyką ._
Tokens: 1________ 2__ 3____ 4_____ 5_ 6________ 7____ 8_________ 9 10 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #42 from 00100634 from sent12

Text  : Jako , że strona oparta jest na zasadzie wiki ,_ zapraszam serdecznie do dodawania ciekawych artukułów znalezonych w_ sieci ,_ jak i_ zwrócenia uwagi na pozycje w_ wersji drukowanej ,_ które zostały pominięte w_ wykazie ._
Tokens: 1___ 2 3_ 4_____ 5_____ 6___ 7_ 8_______ 9___ 10 11_______ 12________ 13 14_______ 15_______ 16_______ 17_________ 18 19___ 20 21_ 22 23_______ 24___ 25 26_____ 27 28____ 29________ 30 31___ 32_____ 33_______ 34 35_____ 36

Chunks:

(ChunkerEvaluator) Sentence #43 from 00100634 from sent13

Text  : Do dyskusji zapraszam na forum .
Tokens: 1_ 2_______ 3________ 4_ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #44 from 00100634 from sent14

Text  : Warto zaznaczyć , że źródła na temat religii Słowian w_ wersji tradycyjnej są wysokiej jakości i_ przy tym najbardziej wiarygodne ,_ gdyżpisane są przez uznane autorytety w_ tej dziedzinie ._
Tokens: 1____ 2________ 3 4_ 5_____ 6_ 7____ 8______ 9______ 10 11____ 12_________ 13 14______ 15_____ 16 17__ 18_ 19_________ 20________ 21 22________ 23 24___ 25____ 26________ 27 28_ 29________ 30

Chunks:
  TruePositive nam [9,9] = Słowian (confidence=0.78)

(ChunkerEvaluator) Sentence #45 from 00100634 from sent15

Text  : Co do źródeł elektronicznych , trzeba uważać , gdyż strony o_ podobnej tematyce to często serwisy neopogańskie lub neonazistowskie (_ swastyka jako symbol czczony przez Słowian )_ ._
Tokens: 1_ 2_ 3_____ 4______________ 5 6_____ 7_____ 8 9___ 10____ 11 12______ 13______ 14 15____ 16_____ 17__________ 18_ 19_____________ 20 21______ 22__ 23____ 24_____ 25___ 26_____ 27 28

Chunks:
  TruePositive nam [26,26] = Słowian (confidence=1.00)

2017-06-14 20:06:30,743 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101169.xml
(ChunkerEvaluator) Sentence #46 from 00101169 from sent1

Text  : Men's Health
Tokens: 1____ 2_____

Chunks:
  TruePositive nam [1,2] = Men's Health (confidence=1.00)

(ChunkerEvaluator) Sentence #47 from 00101169 from sent2

Text  : Men's Health ( MH ) – ilustrowany magazyn dla mężczyzn ,_ założony w_ 1987 r_ ._ w_ Stanach Zjednoczonych ._
Tokens: 1____ 2_____ 3 4_ 5 6 7__________ 8______ 9__ 10______ 11 12______ 13 14__ 15 16 17 18_____ 19___________ 20

Chunks:
  TruePositive nam [1,2] = Men's Health (confidence=1.00)
  TruePositive nam [4,4] = MH (confidence=0.98)
  TruePositive nam [18,19] = Stanach Zjednoczonych (confidence=1.00)

(ChunkerEvaluator) Sentence #48 from 00101169 from sent3

Text  : MH porusza tematy z zakresu zdrowego stylu życia , diety ,_ mody ,_ sportu ,_ rozrywki ,_ seksu ,_ savoir -_ vivre'u oraz techniki ._
Tokens: 1_ 2______ 3_____ 4 5______ 6_______ 7____ 8____ 9 10___ 11 12__ 13 14____ 15 16______ 17 18___ 19 20____ 21 22_____ 23__ 24______ 25

Chunks:
  FalseNegative nam [1,1] = MH

(ChunkerEvaluator) Sentence #49 from 00101169 from sent4

Text  : Men's Health – edycja polska
Tokens: 1____ 2_____ 3 4_____ 5_____

Chunks:
  TruePositive nam [1,2] = Men's Health (confidence=1.00)

(ChunkerEvaluator) Sentence #50 from 00101169 from sent5

Text  : Polskie wydanie Men's Health ( MH – Małe Kroki Wielkie Rezultaty )_ ukazuje się od 2004 roku ._
Tokens: 1______ 2______ 3____ 4_____ 5 6_ 7 8___ 9____ 10_____ 11_______ 12 13_____ 14_ 15 16__ 17__ 18

Chunks:
  TruePositive nam [3,4] = Men's Health (confidence=1.00)
  FalsePositive nam [6,6] = MH (confidence=0.86) (incorrect boundry)
  FalsePositive nam [8,11] = Małe Kroki Wielkie Rezultaty (confidence=0.98) (incorrect boundry)
  FalseNegative nam [6,11] = MH – Małe Kroki Wielkie Rezultaty

(ChunkerEvaluator) Sentence #51 from 00101169 from sent6

Text  : Polska edycja dostarcza czytelnikom najnowszych informacji i porad na temat zdrowia ,_ fitnessu ,_ diety ,_ związków ,_ finansów ,_ problemów ojcostwa ,_ podróży ,_ technologii i_ stylu ._
Tokens: 1_____ 2_____ 3________ 4__________ 5__________ 6_________ 7 8____ 9_ 10___ 11_____ 12 13______ 14 15___ 16 17______ 18 19______ 20 21_______ 22______ 23 24_____ 25 26_________ 27 28___ 29

Chunks:

(ChunkerEvaluator) Sentence #52 from 00101169 from sent7

Text  : Jako jedyny kompleksowy poradnik wypełnia lukę na rynku męskich magazynów pomiędzy pozycjami rozrywkowymi a_ shoppingowymi ._
Tokens: 1___ 2_____ 3__________ 4_______ 5_______ 6___ 7_ 8____ 9______ 10_______ 11______ 12_______ 13__________ 14 15___________ 16

Chunks:

(ChunkerEvaluator) Sentence #53 from 00101169 from sent8

Text  : " Men's Health " wydaje cieszące się dużą popularnością tematyczne numery specjalne ,_ m_ ._ in ._ "_ MH Coach "_ (_ poprzednio "_ Twój Osobisty Trener "_ )_ -_ treningowy i_ dietetyczny poradnik na temat budowania sylwetki ,_ "_ Seks :_ Twój przewodnik na wakacje "_ -_ kompendium wiedzy na temat sztuki uwodzenia i_ seksu ,_ czy "_ Twój Sukces "_ -_ jak uzyskać awans w_ pracy i_ zostać osobnikiem alfa w_ swoim środowisku ._
Tokens: 1 2____ 3_____ 4 5_____ 6_______ 7__ 8___ 9____________ 10________ 11____ 12_______ 13 14 15 16 17 18 19 20___ 21 22 23________ 24 25__ 26______ 27____ 28 29 30 31________ 32 33_________ 34______ 35 36___ 37_______ 38______ 39 40 41__ 42 43__ 44________ 45 46_____ 47 48 49________ 50____ 51 52___ 53____ 54_______ 55 56___ 57 58_ 59 60__ 61____ 62 63 64_ 65_____ 66___ 67 68___ 69 70____ 71________ 72__ 73 74___ 75________ 76

Chunks:
  TruePositive nam [2,3] = Men's Health (confidence=1.00)
  TruePositive nam [19,20] = MH Coach (confidence=1.00)
  TruePositive nam [25,27] = Twój Osobisty Trener (confidence=0.99)
  TruePositive nam [60,61] = Twój Sukces (confidence=0.99)
  FalsePositive nam [41,41] = Seks (confidence=0.70) (incorrect boundry)
  FalseNegative nam [41,46] = Seks : Twój przewodnik na wakacje

(ChunkerEvaluator) Sentence #54 from 00101169 from sent9

Text  : Główne rubryki Men's Health :
Tokens: 1_____ 2______ 3____ 4_____ 5

Chunks:
  TruePositive nam [3,4] = Men's Health (confidence=1.00)

(ChunkerEvaluator) Sentence #55 from 00101169 from sent10

Text  : Tematy z okładki
Tokens: 1_____ 2 3______

Chunks:

(ChunkerEvaluator) Sentence #56 from 00101169 from sent11

Text  : Fitness / Sport
Tokens: 1______ 2 3____

Chunks:
  FalsePositive nam [1,3] = Fitness / Sport (confidence=0.56) (incorrect boundry)

(ChunkerEvaluator) Sentence #57 from 00101169 from sent12

Text  : Seks / Związki
Tokens: 1___ 2 3______

Chunks:

(ChunkerEvaluator) Sentence #58 from 00101169 from sent13

Text  : Zdrowie / Paliwo
Tokens: 1______ 2 3_____

Chunks:

(ChunkerEvaluator) Sentence #59 from 00101169 from sent14

Text  : Wyzwania
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #60 from 00101169 from sent15

Text  : Hi - Tech
Tokens: 1_ 2 3___

Chunks:
  FalsePositive nam [1,3] = Hi - Tech (confidence=0.96) (incorrect boundry)

(ChunkerEvaluator) Sentence #61 from 00101169 from sent16

Text  : Styl
Tokens: 1___

Chunks:

(ChunkerEvaluator) Sentence #62 from 00101169 from sent17

Text  : Stałe rubryki :
Tokens: 1____ 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #63 from 00101169 from sent18

Text  : * News Room
Tokens: 1 2___ 3___

Chunks:
  FalsePositive nam [2,3] = News Room (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #64 from 00101169 from sent19

Text  : * Osobnik Alfa
Tokens: 1 2______ 3___

Chunks:
  FalsePositive nam [2,3] = Osobnik Alfa (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #65 from 00101169 from sent20

Text  : * Zapytaj MH
Tokens: 1 2______ 3_

Chunks:
  TruePositive nam [3,3] = MH (confidence=0.67)

(ChunkerEvaluator) Sentence #66 from 00101169 from sent21

Text  : * Powiedz MH
Tokens: 1 2______ 3_

Chunks:
  TruePositive nam [3,3] = MH (confidence=0.73)

(ChunkerEvaluator) Sentence #67 from 00101169 from sent22

Text  : * Gdzie to kupisz
Tokens: 1 2____ 3_ 4_____

Chunks:

2017-06-14 20:06:30,809 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101178.xml
(ChunkerEvaluator) Sentence #68 from 00101178 from sent1

Text  : Bani Bu Ali
Tokens: 1___ 2_ 3__

Chunks:
  TruePositive nam [1,3] = Bani Bu Ali (confidence=1.00)

(ChunkerEvaluator) Sentence #69 from 00101178 from sent2

Text  : Bani Bu Ali ( arab . بنى بو علي )_ -_ miasto w_ Omanie ,_ w_ regionie Asz -_ Szarkijja ._
Tokens: 1___ 2_ 3__ 4 5___ 6 7__ 8_ 9__ 10 11 12____ 13 14____ 15 16 17______ 18_ 19 20_______ 21

Chunks:
  TruePositive nam [1,3] = Bani Bu Ali (confidence=1.00)
  TruePositive nam [7,9] = بنى بو علي (confidence=0.98)
  TruePositive nam [14,14] = Omanie (confidence=0.99)
  TruePositive nam [18,20] = Asz - Szarkijja (confidence=0.99)

(ChunkerEvaluator) Sentence #70 from 00101178 from sent3

Text  : Według danych szacunkowych na rok 2008 liczy 63 340 mieszkańców ._
Tokens: 1_____ 2_____ 3___________ 4_ 5__ 6___ 7____ 8_ 9__ 10_________ 11

Chunks:

2017-06-14 20:06:30,819 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 7 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101186.xml
(ChunkerEvaluator) Sentence #71 from 00101186 from sent1

Text  : Leszek Pełszyk
Tokens: 1_____ 2______

Chunks:
  TruePositive nam [1,2] = Leszek Pełszyk (confidence=1.00)

(ChunkerEvaluator) Sentence #72 from 00101186 from sent2

Text  : Leszek Artur Pełszyk ( ur . 12 lipca 1971 w_ Wołominie )_ -_ polski niezależny producent programów telewizyjnych ,_ właściciel i_ prezes firm medialnych Miracle in 5_ Sp ._ z_ o_ ._ o_ ._ i_ Zuza Pictures Sp ._ z_ o_ ._ o_ ._
Tokens: 1_____ 2____ 3______ 4 5_ 6 7_ 8____ 9___ 10 11_______ 12 13 14____ 15________ 16_______ 17_______ 18___________ 19 20________ 21 22____ 23__ 24________ 25_____ 26 27 28 29 30 31 32 33 34 35 36__ 37______ 38 39 40 41 42 43 44

Chunks:
  TruePositive nam [1,3] = Leszek Artur Pełszyk (confidence=1.00)
  TruePositive nam [11,11] = Wołominie (confidence=1.00)
  TruePositive nam [25,34] = Miracle in 5 Sp . z o . o . (confidence=0.97)
  TruePositive nam [36,44] = Zuza Pictures Sp . z o . o . (confidence=0.67)

(ChunkerEvaluator) Sentence #73 from 00101186 from sent3

Text  : Absolwent Wydziału Radia i Telewizji Uniwersytetu Śląskiego w Katowicach (_ 1994 -_ 1999 )_ ._
Tokens: 1________ 2_______ 3____ 4 5________ 6___________ 7________ 8 9_________ 10 11__ 12 13__ 14 15

Chunks:
  TruePositive nam [9,9] = Katowicach (confidence=0.99)
  FalsePositive nam [2,7] = Wydziału Radia i Telewizji Uniwersytetu Śląskiego (confidence=0.96) (incorrect boundry)
  FalseNegative nam [2,5] = Wydziału Radia i Telewizji
  FalseNegative nam [6,7] = Uniwersytetu Śląskiego

(ChunkerEvaluator) Sentence #74 from 00101186 from sent4

Text  : W latach 1990 - 1992 studiował pilotaż samolotów na Wydziale Budowy Maszyn i_ Lotnictwa Politechniki Rzeszowskiej ._
Tokens: 1 2_____ 3___ 4 5___ 6________ 7______ 8________ 9_ 10______ 11____ 12____ 13 14_______ 15__________ 16__________ 17

Chunks:
  FalsePositive nam [10,12] = Wydziale Budowy Maszyn (confidence=1.00) (incorrect boundry)
  FalsePositive nam [14,16] = Lotnictwa Politechniki Rzeszowskiej (confidence=0.96) (incorrect boundry)
  FalseNegative nam [10,14] = Wydziale Budowy Maszyn i Lotnictwa
  FalseNegative nam [15,16] = Politechniki Rzeszowskiej

(ChunkerEvaluator) Sentence #75 from 00101186 from sent5

Text  : Pilot samolotowy i szybowcowy , oraz skoczek spadochronowy .
Tokens: 1____ 2_________ 3 4_________ 5 6___ 7______ 8____________ 9

Chunks:

(ChunkerEvaluator) Sentence #76 from 00101186 from sent6

Text  : W latach 1998 - 2001 był zatrudniony jako producent w_ telewizji TVN ,_ a_ następnie holenderskiej firmie Endemol ,_ znanej m_ ._ in ._ z_ produkcji Big Brother i_ Milionerzy ,_ oraz Pearson Television (_ obecnie Freemantle Media )_ ._
Tokens: 1 2_____ 3___ 4 5___ 6__ 7__________ 8___ 9________ 10 11_______ 12_ 13 14 15_______ 16___________ 17____ 18_____ 19 20____ 21 22 23 24 25 26_______ 27_ 28_____ 29 30________ 31 32__ 33_____ 34________ 35 36_____ 37________ 38___ 39 40

Chunks:
  TruePositive nam [12,12] = TVN (confidence=1.00)
  TruePositive nam [18,18] = Endemol (confidence=1.00)
  TruePositive nam [27,28] = Big Brother (confidence=1.00)
  TruePositive nam [30,30] = Milionerzy (confidence=0.79)
  TruePositive nam [33,34] = Pearson Television (confidence=1.00)
  TruePositive nam [37,38] = Freemantle Media (confidence=0.91)

(ChunkerEvaluator) Sentence #77 from 00101186 from sent7

Text  : W 2000 razem z Rinke Rooyens'em i Clare Frances Downer założył niezależną firmę medialną SNAP TV !_ ,_ producenta takich programów jak Ikea -_ Dom Pełen Pomysłów (_ 2001 )_ ,_ Kto Was Tak Urządził ?_ (_ 2001 -_ 2003 )_ i_ Sextet (_ 2004 )_ dla TVN ._
Tokens: 1 2___ 3____ 4 5____ 6_________ 7 8____ 9______ 10____ 11_____ 12________ 13___ 14______ 15__ 16 17 18 19________ 20____ 21_______ 22_ 23__ 24 25_ 26___ 27______ 28 29__ 30 31 32_ 33_ 34_ 35______ 36 37 38__ 39 40__ 41 42 43____ 44 45__ 46 47_ 48_ 49

Chunks:
  TruePositive nam [5,6] = Rinke Rooyens'em (confidence=1.00)
  TruePositive nam [8,10] = Clare Frances Downer (confidence=0.98)
  TruePositive nam [43,43] = Sextet (confidence=0.99)
  TruePositive nam [48,48] = TVN (confidence=1.00)
  FalsePositive nam [15,16] = SNAP TV (confidence=1.00) (incorrect boundry)
  FalsePositive nam [23,23] = Ikea (confidence=1.00) (incorrect boundry)
  FalsePositive nam [25,27] = Dom Pełen Pomysłów (confidence=0.97) (incorrect boundry)
  FalseNegative nam [15,17] = SNAP TV !
  FalseNegative nam [23,27] = Ikea - Dom Pełen Pomysłów
  FalseNegative nam [32,35] = Kto Was Tak Urządził

(ChunkerEvaluator) Sentence #78 from 00101186 from sent8

Text  : Jako producent wykonawczy lub producent konsultujący współtworzył m . in ._ audycje telewizyjne :_ Pod Napięciem TVN (_ 1998 -_ 2004 )_ ,_ Milionerzy TVN (_ 1999 -_ )_ ,_ Dla Ciebie Wszystko TVN (_ 2002 -_ 2004 )_ ,_ Szymon Majewski Show TVN (_ 2005 -_ )_ ,_ Familiada TVP 2_ (_ 1994 -_ )_ ,_ Na Każdy Temat Polsat (_ 1993 -_ 95 )_ ,_ Automaniak TVN (_ 1998 -_ )_ ,_ Siłacze TVN (_ 1999 -_ )_ ._
Tokens: 1___ 2________ 3_________ 4__ 5________ 6___________ 7___________ 8 9 10 11 12_____ 13_________ 14 15_ 16_______ 17_ 18 19__ 20 21__ 22 23 24________ 25_ 26 27__ 28 29 30 31_ 32____ 33______ 34_ 35 36__ 37 38__ 39 40 41____ 42______ 43__ 44_ 45 46__ 47 48 49 50_______ 51_ 52 53 54__ 55 56 57 58 59___ 60___ 61____ 62 63__ 64 65 66 67 68________ 69_ 70 71__ 72 73 74 75_____ 76_ 77 78__ 79 80 81

Chunks:
  TruePositive nam [34,34] = TVN (confidence=0.58)
  TruePositive nam [76,76] = TVN (confidence=0.70)
  FalsePositive nam [16,17] = Napięciem TVN (confidence=0.64) (incorrect boundry)
  FalsePositive nam [24,25] = Milionerzy TVN (confidence=0.91) (incorrect boundry)
  FalsePositive nam [41,44] = Szymon Majewski Show TVN (confidence=1.00) (incorrect boundry)
  FalsePositive nam [50,52] = Familiada TVP 2 (confidence=0.99) (incorrect boundry)
  FalsePositive nam [58,61] = Na Każdy Temat Polsat (confidence=0.52) (incorrect boundry)
  FalsePositive nam [68,69] = Automaniak TVN (confidence=1.00) (incorrect boundry)
  FalseNegative nam [15,16] = Pod Napięciem
  FalseNegative nam [17,17] = TVN
  FalseNegative nam [24,24] = Milionerzy
  FalseNegative nam [25,25] = TVN
  FalseNegative nam [31,33] = Dla Ciebie Wszystko
  FalseNegative nam [41,43] = Szymon Majewski Show
  FalseNegative nam [44,44] = TVN
  FalseNegative nam [50,50] = Familiada
  FalseNegative nam [51,52] = TVP 2
  FalseNegative nam [58,60] = Na Każdy Temat
  FalseNegative nam [61,61] = Polsat
  FalseNegative nam [68,68] = Automaniak
  FalseNegative nam [69,69] = TVN
  FalseNegative nam [75,75] = Siłacze

(ChunkerEvaluator) Sentence #79 from 00101186 from sent9

Text  : W latach 2006 - 2008 jako Dyrektor Generalny współtworzył kanał telewizji informacyjno -_ rozrywkowej Superstacja ,_ która uznana została za debiut roku na XXXI Międzynarodowej Konferencji PIKE 2007 w_ Zakopanem ._
Tokens: 1 2_____ 3___ 4 5___ 6___ 7_______ 8________ 9___________ 10___ 11_______ 12__________ 13 14_________ 15_________ 16 17___ 18____ 19_____ 20 21____ 22__ 23 24__ 25_____________ 26_________ 27__ 28__ 29 30_______ 31

Chunks:
  TruePositive nam [15,15] = Superstacja (confidence=0.97)
  TruePositive nam [30,30] = Zakopanem (confidence=1.00)
  FalsePositive nam [7,8] = Dyrektor Generalny (confidence=0.96) (incorrect boundry)
  FalsePositive nam [24,28] = XXXI Międzynarodowej Konferencji PIKE 2007 (confidence=1.00) (incorrect boundry)
  FalseNegative nam [24,27] = XXXI Międzynarodowej Konferencji PIKE

2017-06-14 20:06:30,898 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 8 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101242.xml
(ChunkerEvaluator) Sentence #80 from 00101242 from sent1

Text  : Powiat średzki ( województwo wielkopolskie )
Tokens: 1_____ 2______ 3 4__________ 5____________ 6

Chunks:
  TruePositive nam [5,5] = wielkopolskie (confidence=0.98)
  FalseNegative nam [2,2] = średzki

(ChunkerEvaluator) Sentence #81 from 00101242 from sent2

Text  : Powiat średzki - powiat w Polsce ( województwo wielkopolskie )_ ,_ utworzony w_ 1999 roku w_ ramach reformy administracyjnej ._
Tokens: 1_____ 2______ 3 4_____ 5 6_____ 7 8__________ 9____________ 10 11 12_______ 13 14__ 15__ 16 17____ 18_____ 19______________ 20

Chunks:
  TruePositive nam [6,6] = Polsce (confidence=1.00)
  TruePositive nam [9,9] = wielkopolskie (confidence=0.99)
  FalseNegative nam [2,2] = średzki

(ChunkerEvaluator) Sentence #82 from 00101242 from sent3

Text  : Jego siedzibą jest miasto Środa Wielkopolska .
Tokens: 1___ 2_______ 3___ 4_____ 5____ 6___________ 7

Chunks:
  TruePositive nam [5,6] = Środa Wielkopolska (confidence=1.00)

(ChunkerEvaluator) Sentence #83 from 00101242 from sent4

Text  : W skład powiatu wchodzą :
Tokens: 1 2____ 3______ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #84 from 00101242 from sent5

Text  : gminy miejsko - wiejskie : Środa Wielkopolska
Tokens: 1____ 2______ 3 4_______ 5 6____ 7___________

Chunks:
  TruePositive nam [6,7] = Środa Wielkopolska (confidence=1.00)

(ChunkerEvaluator) Sentence #85 from 00101242 from sent6

Text  : gminy wiejskie : Dominowo , Krzykosy , Nowe Miasto nad Wartą ,_ Zaniemyśl
Tokens: 1____ 2_______ 3 4_______ 5 6_______ 7 8___ 9_____ 10_ 11___ 12 13_______

Chunks:
  TruePositive nam [4,4] = Dominowo (confidence=0.96)
  TruePositive nam [6,6] = Krzykosy (confidence=1.00)
  TruePositive nam [13,13] = Zaniemyśl (confidence=1.00)
  FalsePositive nam [8,9] = Nowe Miasto (confidence=1.00) (incorrect boundry)
  FalsePositive nam [11,11] = Wartą (confidence=0.96) (incorrect boundry)
  FalseNegative nam [8,11] = Nowe Miasto nad Wartą

(ChunkerEvaluator) Sentence #86 from 00101242 from sent7

Text  : miasta : Środa Wielkopolska
Tokens: 1_____ 2 3____ 4___________

Chunks:
  TruePositive nam [3,4] = Środa Wielkopolska (confidence=1.00)

2017-06-14 20:06:30,916 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 9 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101275.xml
(ChunkerEvaluator) Sentence #87 from 00101275 from sent1

Text  : Bobrowo ( powiat drawski )
Tokens: 1______ 2 3_____ 4______ 5

Chunks:
  TruePositive nam [1,1] = Bobrowo (confidence=0.95)
  TruePositive nam [4,4] = drawski (confidence=0.94)

(ChunkerEvaluator) Sentence #88 from 00101275 from sent2

Text  : Bobrowo ( niem . Dietersdorf ) – wieś sołecka w_ Polsce położona w_ województwie zachodniopomorskim ,_ w_ powiecie drawskim ,_ w_ gminie Złocieniec ._
Tokens: 1______ 2 3___ 4 5__________ 6 7 8___ 9______ 10 11____ 12______ 13 14__________ 15________________ 16 17 18______ 19______ 20 21 22____ 23________ 24

Chunks:
  TruePositive nam [1,1] = Bobrowo (confidence=0.68)
  TruePositive nam [5,5] = Dietersdorf (confidence=0.99)
  TruePositive nam [11,11] = Polsce (confidence=1.00)
  TruePositive nam [15,15] = zachodniopomorskim (confidence=1.00)
  TruePositive nam [19,19] = drawskim (confidence=0.99)
  TruePositive nam [23,23] = Złocieniec (confidence=1.00)

(ChunkerEvaluator) Sentence #89 from 00101275 from sent3

Text  : W latach 1975 - 1998 miejscowość administracyjnie należała do województwa koszalińskiego ._
Tokens: 1 2_____ 3___ 4 5___ 6__________ 7_______________ 8_______ 9_ 10_________ 11____________ 12

Chunks:
  TruePositive nam [11,11] = koszalińskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #90 from 00101275 from sent4

Text  : W roku 2008 wieś liczyła 341 mieszkańców .
Tokens: 1 2___ 3___ 4___ 5______ 6__ 7__________ 8

Chunks:

(ChunkerEvaluator) Sentence #91 from 00101275 from sent5

Text  : Osady wchodzące w skład sołectwa :
Tokens: 1____ 2________ 3 4____ 5_______ 6

Chunks:

(ChunkerEvaluator) Sentence #92 from 00101275 from sent6

Text  : Sułoszyn
Tokens: 1_______

Chunks:
  TruePositive nam [1,1] = Sułoszyn (confidence=0.93)

(ChunkerEvaluator) Sentence #93 from 00101275 from sent7

Text  : Wąsosz
Tokens: 1_____

Chunks:
  TruePositive nam [1,1] = Wąsosz (confidence=0.91)

(ChunkerEvaluator) Sentence #94 from 00101275 from sent8

Text  : Geografia
Tokens: 1________

Chunks:

(ChunkerEvaluator) Sentence #95 from 00101275 from sent9

Text  : Wieś leży ok . 3 km na wschód od Złocieńca ,_ przy linii kolejowej nr 210 ,_ ok ._ 500 m_ na północ od jeziora Wąsosze ,_ ok ._ 600 m_ na wschód od rzeki Wąsawy ,_ ok ._ 1_ ,_ 5_ km na południe od drogi krajowej nr 20 ze Stargardu Szczecińskiego do Gdyni ._
Tokens: 1___ 2___ 3_ 4 5 6_ 7_ 8_____ 9_ 10_______ 11 12__ 13___ 14_______ 15 16_ 17 18 19 20_ 21 22 23____ 24 25_____ 26_____ 27 28 29 30_ 31 32 33____ 34 35___ 36____ 37 38 39 40 41 42 43 44 45______ 46 47___ 48______ 49 50 51 52_______ 53____________ 54 55___ 56

Chunks:
  TruePositive nam [10,10] = Złocieńca (confidence=1.00)
  TruePositive nam [13,16] = linii kolejowej nr 210 (confidence=0.94)
  TruePositive nam [26,26] = Wąsosze (confidence=0.97)
  TruePositive nam [36,36] = Wąsawy (confidence=0.99)
  TruePositive nam [47,50] = drogi krajowej nr 20 (confidence=0.94)
  TruePositive nam [52,53] = Stargardu Szczecińskiego (confidence=0.97)
  TruePositive nam [55,55] = Gdyni (confidence=1.00)

(ChunkerEvaluator) Sentence #96 from 00101275 from sent10

Text  : Historia
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #97 from 00101275 from sent11

Text  : Bobrowo posiada średniowieczną metrykę , wspomnianą w źródłach w 1333 r_ ._
Tokens: 1______ 2______ 3_____________ 4______ 5 6_________ 7 8_______ 9 10__ 11 12

Chunks:
  FalseNegative nam [1,1] = Bobrowo

(ChunkerEvaluator) Sentence #98 from 00101275 from sent12

Text  : Wchodziło w skład dóbr złocienieckich .
Tokens: 1________ 2 3____ 4___ 5_____________ 6

Chunks:

(ChunkerEvaluator) Sentence #99 from 00101275 from sent13

Text  : Jako dziedzictwo wdowy po ostatnim z rodziny Borck ze Złocieńca ._
Tokens: 1___ 2__________ 3____ 4_ 5_______ 6 7______ 8____ 9_ 10_______ 11

Chunks:
  TruePositive nam [8,8] = Borck (confidence=0.98)
  TruePositive nam [10,10] = Złocieńca (confidence=0.99)

(ChunkerEvaluator) Sentence #100 from 00101275 from sent14

Text  : W 1846 r . zostało odkupione przez jednego z wnuków siostry Konstantyna von Knebel -_ Doeberitz ,_ syna Ludwika von Knebel -_ Doeberitz na Darskowie ._
Tokens: 1 2___ 3 4 5______ 6________ 7____ 8______ 9 10____ 11_____ 12_________ 13_ 14____ 15 16_______ 17 18__ 19_____ 20_ 21____ 22 23_______ 24 25_______ 26

Chunks:
  TruePositive nam [12,16] = Konstantyna von Knebel - Doeberitz (confidence=1.00)
  TruePositive nam [19,23] = Ludwika von Knebel - Doeberitz (confidence=1.00)
  TruePositive nam [25,25] = Darskowie (confidence=0.93)

(ChunkerEvaluator) Sentence #101 from 00101275 from sent15

Text  : Konstantyn w 1840 r . ożenił się z Henrietą von Grunburg ._
Tokens: 1_________ 2 3___ 4 5 6_____ 7__ 8 9_______ 10_ 11______ 12

Chunks:
  TruePositive nam [1,1] = Konstantyn (confidence=0.88)
  TruePositive nam [9,11] = Henrietą von Grunburg (confidence=1.00)

(ChunkerEvaluator) Sentence #102 from 00101275 from sent16

Text  : W 1872 r . Bobrowo przejął Artur von Knebel -_ Doeberitz ,_ który przekazał majątek w_ ręce ostatniemu właścicielowi do 1945 r_ ._ adoptowanemu bratankowi Hasso von Knebel -_ Doeberitz ._
Tokens: 1 2___ 3 4 5______ 6______ 7____ 8__ 9_____ 10 11_______ 12 13___ 14_______ 15_____ 16 17__ 18________ 19___________ 20 21__ 22 23 24__________ 25________ 26___ 27_ 28____ 29 30_______ 31

Chunks:
  TruePositive nam [5,5] = Bobrowo (confidence=0.99)
  TruePositive nam [7,11] = Artur von Knebel - Doeberitz (confidence=1.00)
  TruePositive nam [26,30] = Hasso von Knebel - Doeberitz (confidence=1.00)

(ChunkerEvaluator) Sentence #103 from 00101275 from sent17

Text  : W 1851 - 1853 roku zbudował on pałac eklektyczny wg ówczesnej mody ,_ z_ wieżą z_ blankami i_ wykuszem ._
Tokens: 1 2___ 3 4___ 5___ 6_______ 7_ 8____ 9__________ 10 11_______ 12__ 13 14 15___ 16 17______ 18 19______ 20

Chunks:

(ChunkerEvaluator) Sentence #104 from 00101275 from sent18

Text  : W 1928 r . do majątku liczącego 1 802 ha należały folwarki :_ Buczyna (_ Buchenham )_ obecnie nie istniejący i_ Sułoszyn (_ Zühlskamp )_ ._
Tokens: 1 2___ 3 4 5_ 6______ 7________ 8 9__ 10 11______ 12______ 13 14_____ 15 16_______ 17 18_____ 19_ 20________ 21 22______ 23 24_______ 25 26

Chunks:
  TruePositive nam [14,14] = Buczyna (confidence=1.00)
  TruePositive nam [16,16] = Buchenham (confidence=0.99)
  TruePositive nam [22,22] = Sułoszyn (confidence=1.00)
  TruePositive nam [24,24] = Zühlskamp (confidence=0.98)

(ChunkerEvaluator) Sentence #105 from 00101275 from sent19

Text  : Zabytki i atrakcje turystyczne
Tokens: 1______ 2 3_______ 4__________

Chunks:

(ChunkerEvaluator) Sentence #106 from 00101275 from sent20

Text  : Zabytek chroniony prawem :
Tokens: 1______ 2________ 3_____ 4

Chunks:

(ChunkerEvaluator) Sentence #107 from 00101275 from sent21

Text  : park pałacowy z aleją dojazdową z 1851 - 1853 r_ ._ ,_ nr rej ._
Tokens: 1___ 2_______ 3 4____ 5________ 6 7___ 8 9___ 10 11 12 13 14_ 15

Chunks:

(ChunkerEvaluator) Sentence #108 from 00101275 from sent22

Text  : 1 154 z dnia 23 marca 1982 r .
Tokens: 1 2__ 3 4___ 5_ 6____ 7___ 8 9

Chunks:

(ChunkerEvaluator) Sentence #109 from 00101275 from sent23

Text  : Park w stylu angielskim o pow . 22 ha ,_ łącznie z_ dziedzińcem i_ jeziorem Kozy ._
Tokens: 1___ 2 3____ 4_________ 5 6__ 7 8_ 9_ 10 11_____ 12 13_________ 14 15______ 16__ 17

Chunks:
  TruePositive nam [16,16] = Kozy (confidence=0.94)

(ChunkerEvaluator) Sentence #110 from 00101275 from sent24

Text  : Przy południowym brzegu jeziora Kozy , naprzeciwko zabudowań folwarku rośnie okazały dąb o_ obw ._ pnia 500 cm określany na 400 lat ._
Tokens: 1___ 2__________ 3_____ 4______ 5___ 6 7__________ 8________ 9_______ 10____ 11_____ 12_ 13 14_ 15 16__ 17_ 18 19_______ 20 21_ 22_ 23

Chunks:
  TruePositive nam [5,5] = Kozy (confidence=0.96)

(ChunkerEvaluator) Sentence #111 from 00101275 from sent25

Text  : Pałac otaczała duża polana z nasadzonymi drzewami rodzimymi i obcego pochodzenia ._
Tokens: 1____ 2_______ 3___ 4_____ 5 6__________ 7_______ 8________ 9 10____ 11_________ 12

Chunks:
  FalsePositive nam [1,1] = Pałac (confidence=0.67) (incorrect boundry)

(ChunkerEvaluator) Sentence #112 from 00101275 from sent26

Text  : W 1894 r . pałac częściowo spalił się .
Tokens: 1 2___ 3 4 5____ 6________ 7_____ 8__ 9

Chunks:

(ChunkerEvaluator) Sentence #113 from 00101275 from sent27

Text  : Został jednak bez zmian odbudowany w tym samym roku ._
Tokens: 1_____ 2_____ 3__ 4____ 5_________ 6 7__ 8____ 9___ 10

Chunks:

(ChunkerEvaluator) Sentence #114 from 00101275 from sent28

Text  : Budynek założony na planie nieregularnego prostokąta , od strony zachodniej urozmaicony licznymi ryzalitami ,_ wejście główne poprzedzone portykiem o_ ostrołukowo wyciętych arkadach ._
Tokens: 1______ 2_______ 3_ 4_____ 5_____________ 6_________ 7 8_ 9_____ 10________ 11_________ 12______ 13________ 14 15_____ 16____ 17_________ 18_______ 19 20_________ 21_______ 22______ 23

Chunks:

(ChunkerEvaluator) Sentence #115 from 00101275 from sent29

Text  : Posiada wysoką czworoboczną wieżę przykrytą stożkowym hełmem .
Tokens: 1______ 2_____ 3___________ 4____ 5________ 6________ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #116 from 00101275 from sent30

Text  : Ozdobny jest również dach budynku z wystającymi świetlikami zwieńczonymi również stożkowymi hełmami ._
Tokens: 1______ 2___ 3______ 4___ 5______ 6 7__________ 8__________ 9___________ 10_____ 11________ 12_____ 13

Chunks:

(ChunkerEvaluator) Sentence #117 from 00101275 from sent31

Text  : Kubatura pałacu wynosi 3422 m 3 , powierzchnia użytkowa ok ._ 427 m_ 2_ ._
Tokens: 1_______ 2_____ 3_____ 4___ 5 6 7 8___________ 9_______ 10 11 12_ 13 14 15

Chunks:

(ChunkerEvaluator) Sentence #118 from 00101275 from sent32

Text  : Pałac w 1972 r . został adaptowany na szkołę podstawową specjalną ._
Tokens: 1____ 2 3___ 4 5 6_____ 7_________ 8_ 9_____ 10________ 11_______ 12

Chunks:

(ChunkerEvaluator) Sentence #119 from 00101275 from sent33

Text  : W okresie do 1907 r . dziedziniec majątku otrzymał aktualny kształt ,_ nowo wznoszone budynki oznaczono datą budowy ._
Tokens: 1 2______ 3_ 4___ 5 6 7__________ 8______ 9_______ 10______ 11_____ 12 13__ 14_______ 15_____ 16_______ 17__ 18____ 19

Chunks:

(ChunkerEvaluator) Sentence #120 from 00101275 from sent34

Text  : W 1884 r . został zbudowany parterowy budynek ogrodnika ,_ zlokalizowany we wschodnim narożniku założenia parkowego ._
Tokens: 1 2___ 3 4 5_____ 6________ 7________ 8______ 9________ 10 11___________ 12 13_______ 14_______ 15_______ 16_______ 17

Chunks:

(ChunkerEvaluator) Sentence #121 from 00101275 from sent35

Text  : W domu ogrodnika od ok . 1960 r . było miejscowe przedszkole ,_ a_ obecnie dom jest własnością prywatną ._
Tokens: 1 2___ 3________ 4_ 5_ 6 7___ 8 9 10__ 11_______ 12_________ 13 14 15_____ 16_ 17__ 18________ 19______ 20

Chunks:

2017-06-14 20:06:31,044 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 10 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101303.xml
(ChunkerEvaluator) Sentence #122 from 00101303 from sent1

Text  : Prowizorium budżetowe
Tokens: 1__________ 2________

Chunks:

(ChunkerEvaluator) Sentence #123 from 00101303 from sent2

Text  : Prowizorium budżetowe to budżet uchwalony tymczasowo , na pewien czas przed budżetem rocznym ,_ a_ także budżet roczny w_ formie ogólnych jego założeń ._
Tokens: 1__________ 2________ 3_ 4_____ 5________ 6_________ 7 8_ 9_____ 10__ 11___ 12______ 13_____ 14 15 16___ 17____ 18____ 19 20____ 21______ 22__ 23_____ 24

Chunks:

(ChunkerEvaluator) Sentence #124 from 00101303 from sent3

Text  : Jest to tryb awaryjny , wchodzi w życie gdy ustawa budżetowa z_ pewnych względów nie może być uchwalona ._
Tokens: 1___ 2_ 3___ 4_______ 5 6______ 7 8____ 9__ 10____ 11_______ 12 13_____ 14______ 15_ 16__ 17_ 18_______ 19

Chunks:

(ChunkerEvaluator) Sentence #125 from 00101303 from sent4

Text  : Prowizorium budżetowe ma charakter tymczasowy , wygasa wraz z upływem terminu na który zostało uchwalone ,_ bądź też gdy ustawa budżetowa zostanie uchwalona ._
Tokens: 1__________ 2________ 3_ 4________ 5_________ 6 7_____ 8___ 9 10_____ 11_____ 12 13___ 14_____ 15_______ 16 17__ 18_ 19_ 20____ 21_______ 22______ 23_______ 24

Chunks:

(ChunkerEvaluator) Sentence #126 from 00101303 from sent5

Text  : Określa dochody i wydatki Państwa .
Tokens: 1______ 2______ 3 4______ 5______ 6

Chunks:

(ChunkerEvaluator) Sentence #127 from 00101303 from sent6

Text  : Tryb tworzenia prowizorium budżetowego jest taki sam jak ustawy budżetowej ,_ czyli inicjatywa ustawodawcza przysługuje tylko Radzie Ministrów ._
Tokens: 1___ 2________ 3__________ 4__________ 5___ 6___ 7__ 8__ 9_____ 10________ 11 12___ 13________ 14__________ 15_________ 16___ 17____ 18_______ 19

Chunks:
  TruePositive nam [17,18] = Radzie Ministrów (confidence=0.99)

(ChunkerEvaluator) Sentence #128 from 00101303 from sent7

Text  : Jedną z cech charakterystycznych prowizorium budżetowego jest to , iż jest ono uchwalane na okres krótszy niż 1_ rok ._
Tokens: 1____ 2 3___ 4__________________ 5__________ 6__________ 7___ 8_ 9 10 11__ 12_ 13_______ 14 15___ 16_____ 17_ 18 19_ 20

Chunks:

(ChunkerEvaluator) Sentence #129 from 00101303 from sent8

Text  : Taką procedurę przewidywała już konstytucja marcowa .
Tokens: 1___ 2________ 3___________ 4__ 5__________ 6______ 7

Chunks:
  FalseNegative nam [5,6] = konstytucja marcowa

(ChunkerEvaluator) Sentence #130 from 00101303 from sent9

Text  : Ostatnio prowizorium w Polsce zostało uchwalone w 1992 roku ._
Tokens: 1_______ 2__________ 3 4_____ 5______ 6________ 7 8___ 9___ 10

Chunks:
  TruePositive nam [4,4] = Polsce (confidence=1.00)

2017-06-14 20:06:31,080 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 11 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101310.xml
(ChunkerEvaluator) Sentence #131 from 00101310 from sent1

Text  : Malediwy na Mistrzostwach Świata w Lekkoatletyce 2009
Tokens: 1_______ 2_ 3____________ 4_____ 5 6____________ 7___

Chunks:
  TruePositive nam [1,1] = Malediwy (confidence=0.69)
  FalsePositive nam [3,7] = Mistrzostwach Świata w Lekkoatletyce 2009 (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,6] = Mistrzostwach Świata w Lekkoatletyce

(ChunkerEvaluator) Sentence #132 from 00101310 from sent2

Text  : Malediwy na Mistrzostwach Świata w Lekkoatletyce 2009 – reprezentacja Malediwów podczas czempionatu w_ Berlinie liczyła 2_ zawodników ._
Tokens: 1_______ 2_ 3____________ 4_____ 5 6____________ 7___ 8 9____________ 10_______ 11_____ 12_________ 13 14______ 15_____ 16 17________ 18

Chunks:
  TruePositive nam [1,1] = Malediwy (confidence=0.69)
  TruePositive nam [10,10] = Malediwów (confidence=1.00)
  TruePositive nam [14,14] = Berlinie (confidence=1.00)
  FalsePositive nam [3,7] = Mistrzostwach Świata w Lekkoatletyce 2009 (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,6] = Mistrzostwach Świata w Lekkoatletyce

(ChunkerEvaluator) Sentence #133 from 00101310 from sent3

Text  : Oboje odpadli w przedbiegach , ale ustanowili lekkoatletyczne rekordy Malediwów w_ swoich konkurencjach ._
Tokens: 1____ 2______ 3 4___________ 5 6__ 7_________ 8______________ 9______ 10_______ 11 12____ 13___________ 14

Chunks:
  TruePositive nam [10,10] = Malediwów (confidence=1.00)

2017-06-14 20:06:31,093 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 12 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101393.xml
(ChunkerEvaluator) Sentence #134 from 00101393 from sent1

Text  : Audio Physic
Tokens: 1____ 2_____

Chunks:
  TruePositive nam [1,2] = Audio Physic (confidence=0.80)

(ChunkerEvaluator) Sentence #135 from 00101393 from sent2

Text  : Audio Physic – niemiecki producent kolumn głośnikowych z siedzibą w_ mieście Brilon ._
Tokens: 1____ 2_____ 3 4________ 5________ 6_____ 7___________ 8 9_______ 10 11_____ 12____ 13

Chunks:
  TruePositive nam [1,2] = Audio Physic (confidence=0.92)
  TruePositive nam [12,12] = Brilon (confidence=0.99)

(ChunkerEvaluator) Sentence #136 from 00101393 from sent3

Text  : W ofercie znajdują się kolumny podstawkowe oraz podłogowe .
Tokens: 1 2______ 3_______ 4__ 5______ 6__________ 7___ 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #137 from 00101393 from sent4

Text  : Kolumny podstawkowe od najtańszych do najdroższych to modele : Yara Monitor ,_ Step ._
Tokens: 1______ 2__________ 3_ 4__________ 5_ 6___________ 7_ 8_____ 9 10__ 11_____ 12 13__ 14

Chunks:
  TruePositive nam [10,11] = Yara Monitor (confidence=0.99)
  TruePositive nam [13,13] = Step (confidence=0.97)

(ChunkerEvaluator) Sentence #138 from 00101393 from sent5

Text  : Kolumny podłogowe : Yara II Evolution , Yara II Classic ,_ Yara II Superior ,_ Sitara ,_ Tempo VI ,_ Tempo 25 ,_ Scorpio II ,_ Virgo V_ ,_ Avanti V_ ,_ Cardeas ._
Tokens: 1______ 2________ 3 4___ 5_ 6________ 7 8___ 9_ 10_____ 11 12__ 13 14______ 15 16____ 17 18___ 19 20 21___ 22 23 24_____ 25 26 27___ 28 29 30____ 31 32 33_____ 34

Chunks:
  TruePositive nam [4,6] = Yara II Evolution (confidence=1.00)
  TruePositive nam [8,10] = Yara II Classic (confidence=1.00)
  TruePositive nam [12,14] = Yara II Superior (confidence=1.00)
  TruePositive nam [16,16] = Sitara (confidence=1.00)
  TruePositive nam [18,19] = Tempo VI (confidence=0.86)
  TruePositive nam [21,22] = Tempo 25 (confidence=0.92)
  TruePositive nam [24,25] = Scorpio II (confidence=0.94)
  TruePositive nam [27,28] = Virgo V (confidence=0.97)
  TruePositive nam [30,31] = Avanti V (confidence=0.97)
  TruePositive nam [33,33] = Cardeas (confidence=0.72)

(ChunkerEvaluator) Sentence #139 from 00101393 from sent6

Text  : Przedsiębiorstwo zajmuje się także produkcją kolumn surround oraz subwooferów aktywnych ._
Tokens: 1_______________ 2______ 3__ 4____ 5________ 6_____ 7_______ 8___ 9__________ 10_______ 11

Chunks:

(ChunkerEvaluator) Sentence #140 from 00101393 from sent7

Text  : Filozofia firmy oparta jest na założeniu jak najlepszego odtworzenia przestrzeni i_ odwzorowania instrumentów znajdujących się w_ niej ,_ czyli zjawisk stereofonicznych ._
Tokens: 1________ 2____ 3_____ 4___ 5_ 6________ 7__ 8__________ 9__________ 10_________ 11 12__________ 13__________ 14__________ 15_ 16 17__ 18 19___ 20_____ 21______________ 22

Chunks:

(ChunkerEvaluator) Sentence #141 from 00101393 from sent8

Text  : Jest to celem i charakterystyczną cechą tego producenta .
Tokens: 1___ 2_ 3____ 4 5________________ 6____ 7___ 8_________ 9

Chunks:

(ChunkerEvaluator) Sentence #142 from 00101393 from sent9

Text  : Firma opracowała własną metodę ustawiania kolumn głośnikowych , która różni się znacznie od dotychczas spotykanych rozwiązań ._
Tokens: 1____ 2_________ 3_____ 4_____ 5_________ 6_____ 7___________ 8 9____ 10___ 11_ 12______ 13 14________ 15_________ 16_______ 17

Chunks:

(ChunkerEvaluator) Sentence #143 from 00101393 from sent10

Text  : Celem było uzyskanie maksymalnie precyzyjnego odwzorowania przestrzeni i optymalizacja odpowiedzi impulsowej ._
Tokens: 1____ 2___ 3________ 4__________ 5___________ 6___________ 7__________ 8 9____________ 10________ 11________ 12

Chunks:

(ChunkerEvaluator) Sentence #144 from 00101393 from sent11

Text  : Metoda ta różni się od typowych , czyli tzw ._ ustawienie niemieckiego i_ angielskiego ._
Tokens: 1_____ 2_ 3____ 4__ 5_ 6_______ 7 8____ 9__ 10 11________ 12__________ 13 14__________ 15

Chunks:

(ChunkerEvaluator) Sentence #145 from 00101393 from sent12

Text  : Ustawienie Audio Physic jest modyfikacją ustawienia angielskiego , polegającego na wysunięciu zestawów do 50 %_ szerokości pomieszczenia ._
Tokens: 1_________ 2____ 3_____ 4___ 5__________ 6_________ 7___________ 8 9___________ 10 11________ 12______ 13 14 15 16________ 17___________ 18

Chunks:
  TruePositive nam [2,3] = Audio Physic (confidence=0.55)

2017-06-14 20:06:31,140 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 13 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101397.xml
(ChunkerEvaluator) Sentence #146 from 00101397 from sent1

Text  : Partia ( towaroznawstwo )
Tokens: 1_____ 2 3_____________ 4

Chunks:

(ChunkerEvaluator) Sentence #147 from 00101397 from sent2

Text  : Partia , w towaroznawstwie oznacza owoce jednego gatunku , jednego wyboru ,_ jednolite odmianowo (_ jeżeli wymaga tego norma przedmiotowa )_ ,_ w_ jednolitym opakowaniu lub luzem ,_ przedstawiona jednorazowo do odbioru w_ ilości nie przekraczającej 15 ton ._
Tokens: 1_____ 2 3 4______________ 5______ 6____ 7______ 8______ 9 10_____ 11____ 12 13_______ 14_______ 15 16____ 17____ 18__ 19___ 20__________ 21 22 23 24________ 25________ 26_ 27___ 28 29___________ 30_________ 31 32_____ 33 34____ 35_ 36_____________ 37 38_ 39

Chunks:

2017-06-14 20:06:31,152 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 14 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101416.xml
(ChunkerEvaluator) Sentence #148 from 00101416 from sent1

Text  : Joshua Van Sant
Tokens: 1_____ 2__ 3___

Chunks:
  TruePositive nam [1,3] = Joshua Van Sant (confidence=1.00)

(ChunkerEvaluator) Sentence #149 from 00101416 from sent2

Text  : Joshua Van Sant ( ur . 31 grudnia 1803 roku zm ._ 8_ kwietnia 1884 roku w_ Baltimore ,_ Maryland )_ to amerykański prawnik i_ polityk związany z_ Partią Demokratyczną ._
Tokens: 1_____ 2__ 3___ 4 5_ 6 7_ 8______ 9___ 10__ 11 12 13 14______ 15__ 16__ 17 18_______ 19 20______ 21 22 23_________ 24_____ 25 26_____ 27______ 28 29____ 30___________ 31

Chunks:
  TruePositive nam [1,3] = Joshua Van Sant (confidence=1.00)
  TruePositive nam [18,18] = Baltimore (confidence=1.00)
  TruePositive nam [20,20] = Maryland (confidence=1.00)
  TruePositive nam [29,30] = Partią Demokratyczną (confidence=1.00)

(ChunkerEvaluator) Sentence #150 from 00101416 from sent3

Text  : W latach 1853 1855 przez jedną kadencję Kongresu Stanów Zjednoczonych był przedstawicielem trzeciego okręgu wyborczego w_ stanie Maryland w_ Izbie Reprezentantów Stanów Zjednoczonych ._
Tokens: 1 2_____ 3___ 4___ 5____ 6____ 7_______ 8_______ 9_____ 10___________ 11_ 12______________ 13_______ 14____ 15________ 16 17____ 18______ 19 20___ 21____________ 22____ 23___________ 24

Chunks:
  TruePositive nam [18,18] = Maryland (confidence=1.00)
  FalsePositive nam [8,10] = Kongresu Stanów Zjednoczonych (confidence=1.00) (incorrect boundry)
  FalsePositive nam [20,23] = Izbie Reprezentantów Stanów Zjednoczonych (confidence=1.00) (incorrect boundry)
  FalseNegative nam [8,8] = Kongresu
  FalseNegative nam [9,10] = Stanów Zjednoczonych
  FalseNegative nam [20,21] = Izbie Reprezentantów
  FalseNegative nam [22,23] = Stanów Zjednoczonych

(ChunkerEvaluator) Sentence #151 from 00101416 from sent4

Text  : W latach 1871 1875 pełnił funkcję burmistrza miasta Baltimore ._
Tokens: 1 2_____ 3___ 4___ 5_____ 6______ 7_________ 8_____ 9________ 10

Chunks:
  TruePositive nam [9,9] = Baltimore (confidence=1.00)

2017-06-14 20:06:31,171 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 15 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101431.xml
(ChunkerEvaluator) Sentence #152 from 00101431 from sent1

Text  : Jest to korona otwarta ( nie ma kabłąków zwieńczonych krzyżem )_ wykonana jest ze stopu srebra i_ złota ._
Tokens: 1___ 2_ 3_____ 4______ 5 6__ 7_ 8_______ 9___________ 10_____ 11 12______ 13__ 14 15___ 16____ 17 18___ 19

Chunks:

(ChunkerEvaluator) Sentence #153 from 00101431 from sent2

Text  : Jej średnica wynosi 12 , 5 cm .
Tokens: 1__ 2_______ 3_____ 4_ 5 6 7_ 8

Chunks:

(ChunkerEvaluator) Sentence #154 from 00101431 from sent3

Text  : Składa się z czterech segmentów , każdy z nich wieńczy trójliść w_ formie stylizowanej lilii heraldycznej ._
Tokens: 1_____ 2__ 3 4_______ 5________ 6 7____ 8 9___ 10_____ 11______ 12 13____ 14__________ 15___ 16__________ 17

Chunks:

(ChunkerEvaluator) Sentence #155 from 00101431 from sent4

Text  : Zewnętrzna powierzchnia jest pokryta filigranem i bogato kameryzowana , dolną i_ górną krawędź korony opasają sznury drobnych pereł ._
Tokens: 1_________ 2___________ 3___ 4______ 5_________ 6 7_____ 8___________ 9 10___ 11 12___ 13_____ 14____ 15_____ 16____ 17______ 18___ 19

Chunks:

(ChunkerEvaluator) Sentence #156 from 00101431 from sent5

Text  : Większość drogich kamieni jest oszlifowana i osadzona na kaboszonach ,_ niektóre z_ nich pokrywa na zewnątrz filigran ._
Tokens: 1________ 2______ 3______ 4___ 5__________ 6 7_______ 8_ 9__________ 10 11______ 12 13__ 14_____ 15 16______ 17______ 18

Chunks:

(ChunkerEvaluator) Sentence #157 from 00101431 from sent6

Text  : Wśród klejnotów wyróżnia się pochodząca z czasów rzymskich gemma wykonana z_ almandynu ._
Tokens: 1____ 2________ 3_______ 4__ 5_________ 6 7_____ 8________ 9____ 10______ 11 12_______ 13

Chunks:

(ChunkerEvaluator) Sentence #158 from 00101431 from sent7

Text  : Na jej powierzchni widoczny jest stylizowany relief przedstawiający głowę Meduzy ._
Tokens: 1_ 2__ 3__________ 4_______ 5___ 6__________ 7_____ 8______________ 9____ 10____ 11

Chunks:
  TruePositive nam [10,10] = Meduzy (confidence=0.99)

(ChunkerEvaluator) Sentence #159 from 00101431 from sent8

Text  : Koronacja Ottona III miała miejsce w 983 w kaplicy pałacowej w_ Akwizgranie ._
Tokens: 1________ 2_____ 3__ 4____ 5______ 6 7__ 8 9______ 10_______ 11 12_________ 13

Chunks:
  TruePositive nam [2,3] = Ottona III (confidence=0.92)
  TruePositive nam [12,12] = Akwizgranie (confidence=1.00)

(ChunkerEvaluator) Sentence #160 from 00101431 from sent9

Text  : Władca miał zaledwie trzy lata kiedy otrzymał tę godność ._
Tokens: 1_____ 2___ 3_______ 4___ 5___ 6____ 7_______ 8_ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #161 from 00101431 from sent10

Text  : Następnie insygnium przekazano do żeńskiego opactwa w Essen , którego mniszki utrzymywały silne relacje z_ Ludolfingami ._
Tokens: 1________ 2________ 3_________ 4_ 5________ 6______ 7 8____ 9 10_____ 11_____ 12_________ 13___ 14_____ 15 16__________ 17

Chunks:
  TruePositive nam [8,8] = Essen (confidence=1.00)
  TruePositive nam [16,16] = Ludolfingami (confidence=1.00)

(ChunkerEvaluator) Sentence #162 from 00101431 from sent11

Text  : Opatka Matylda była wnuczką Ottona I Wielkiego .
Tokens: 1_____ 2______ 3___ 4______ 5_____ 6 7________ 8

Chunks:
  TruePositive nam [5,7] = Ottona I Wielkiego (confidence=1.00)
  FalsePositive nam [1,2] = Opatka Matylda (confidence=0.77) (incorrect boundry)
  FalseNegative nam [2,2] = Matylda

(ChunkerEvaluator) Sentence #163 from 00101431 from sent12

Text  : Sam Otton III w Święto Ofiarowania Pańskiego w 993 roku odwiedził opactwo ._
Tokens: 1__ 2____ 3__ 4 5_____ 6__________ 7________ 8 9__ 10__ 11_______ 12_____ 13

Chunks:
  TruePositive nam [2,3] = Otton III (confidence=0.53)
  TruePositive nam [5,7] = Święto Ofiarowania Pańskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #164 from 00101431 from sent13

Text  : Pomimo braku źródeł prawdopodobnym jest , iż sam cesarz Otton III był darczyńcą korony ._
Tokens: 1_____ 2____ 3_____ 4_____________ 5___ 6 7_ 8__ 9_____ 10___ 11_ 12_ 13_______ 14____ 15

Chunks:
  TruePositive nam [10,11] = Otton III (confidence=1.00)

(ChunkerEvaluator) Sentence #165 from 00101431 from sent14

Text  : Ponadto zgodnie już ze źródłami przekazał opactwu zachowany do dziś miecz ceremonialny wykonany ze stali damasceńskiej ._
Tokens: 1______ 2______ 3__ 4_ 5_______ 6________ 7______ 8________ 9_ 10__ 11___ 12__________ 13______ 14 15___ 16___________ 17

Chunks:

(ChunkerEvaluator) Sentence #166 from 00101431 from sent15

Text  : Funkcja tego insygnium nie tylko wiązana jest z polityczną koronacją młodego króla Ottona III ,_ lecz także wykorzystywana jest od średniowiecza do celów kultowych ._
Tokens: 1______ 2___ 3________ 4__ 5____ 6______ 7___ 8 9_________ 10_______ 11_____ 12___ 13____ 14_ 15 16__ 17___ 18____________ 19__ 20 21___________ 22 23___ 24_______ 25

Chunks:
  TruePositive nam [13,14] = Ottona III (confidence=0.93)

(ChunkerEvaluator) Sentence #167 from 00101431 from sent16

Text  : W święto Matki Bożej Gromnicznej ( 2 lutego ) ma miejsce uroczysta ceremonia koronacji figury Złotej Madonny ,_ która de facto również znajduje się w_ opactwie w_ Essen ._
Tokens: 1 2_____ 3____ 4____ 5__________ 6 7 8_____ 9 10 11_____ 12_______ 13_______ 14_______ 15____ 16____ 17_____ 18 19___ 20 21___ 22_____ 23______ 24_ 25 26______ 27 28___ 29

Chunks:
  TruePositive nam [3,5] = Matki Bożej Gromnicznej (confidence=0.99)
  TruePositive nam [16,17] = Złotej Madonny (confidence=0.99)
  TruePositive nam [28,28] = Essen (confidence=1.00)

(ChunkerEvaluator) Sentence #168 from 00101431 from sent17

Text  : Herb miasta Essen
Tokens: 1___ 2_____ 3____

Chunks:
  TruePositive nam [3,3] = Essen (confidence=0.87)

(ChunkerEvaluator) Sentence #169 from 00101431 from sent18

Text  : Przypuszczalnie insygnium zostało wykorzystane w herbie miasta Essen , składającym się z_ dwóch tarcz w_ ukłonie heraldycznym ._
Tokens: 1______________ 2________ 3______ 4___________ 5 6_____ 7_____ 8____ 9 10_________ 11_ 12 13___ 14___ 15 16_____ 17__________ 18

Chunks:
  TruePositive nam [8,8] = Essen (confidence=1.00)

(ChunkerEvaluator) Sentence #170 from 00101431 from sent19

Text  : Prawa ( heraldycznie ) tarcza przedstawia na złotym tle czarnego ,_ dwugłowego orła cesarskiego o_ czerwonych szponach i_ dziobie ,_ z_ koroną ._
Tokens: 1____ 2 3___________ 4 5_____ 6__________ 7_ 8_____ 9__ 10______ 11 12________ 13__ 14_________ 15 16________ 17______ 18 19_____ 20 21 22____ 23

Chunks:

(ChunkerEvaluator) Sentence #171 from 00101431 from sent20

Text  : W lewej tarczy na błękitnym tle znajduje się złoty miecz w_ układzie z_ lewa w_ skos ._
Tokens: 1 2____ 3_____ 4_ 5________ 6__ 7_______ 8__ 9____ 10___ 11 12______ 13 14__ 15 16__ 17

Chunks:

(ChunkerEvaluator) Sentence #172 from 00101431 from sent21

Text  : Obie tarcze w górnej części się stykają , a wieńczy je klejnot –_ otwarta korona zwieńczona heraldycznymi liliami ._
Tokens: 1___ 2_____ 3 4_____ 5_____ 6__ 7______ 8 9 10_____ 11 12_____ 13 14_____ 15____ 16________ 17___________ 18_____ 19

Chunks:

2017-06-14 20:06:31,261 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 16 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101462.xml
(ChunkerEvaluator) Sentence #173 from 00101462 from sent1

Text  : Hubert Pirker
Tokens: 1_____ 2_____

Chunks:
  TruePositive nam [1,2] = Hubert Pirker (confidence=1.00)

(ChunkerEvaluator) Sentence #174 from 00101462 from sent2

Text  : Hubert Pirker ( ur . 3 października 1948 w Rennweg am Katschberg )_ –_ austriacki polityk ,_ poseł do Parlamentu Europejskiego (_ 1996 –_ 2004 i_ 2006 –_ 2009 )_ ._
Tokens: 1_____ 2_____ 3 4_ 5 6 7___________ 8___ 9 10_____ 11 12________ 13 14 15________ 16_____ 17 18___ 19 20________ 21___________ 22 23__ 24 25__ 26 27__ 28 29__ 30 31

Chunks:
  TruePositive nam [1,2] = Hubert Pirker (confidence=1.00)
  TruePositive nam [10,12] = Rennweg am Katschberg (confidence=1.00)
  TruePositive nam [20,21] = Parlamentu Europejskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #175 from 00101462 from sent3

Text  : Życiorys
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #176 from 00101462 from sent4

Text  : Kształcił się w zakresie nauczania i teorii komunikacji , uzyskał stopień naukowy doktora ._
Tokens: 1________ 2__ 3 4_______ 5________ 6 7_____ 8__________ 9 10_____ 11_____ 12_____ 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #177 from 00101462 from sent5

Text  : Pracował jako nauczyciel matematyki , a następnie wykładowca na Uniwersytecie w_ Klagenfurcie ._
Tokens: 1_______ 2___ 3_________ 4_________ 5 6 7________ 8_________ 9_ 10___________ 11 12__________ 13

Chunks:
  TruePositive nam [10,10] = Uniwersytecie (confidence=1.00)
  TruePositive nam [12,12] = Klagenfurcie (confidence=0.99)

(ChunkerEvaluator) Sentence #178 from 00101462 from sent6

Text  : Zajmował się także działalnością doradczą , a w 1989 stanął na czele regionu organizacji pracowniczej ._
Tokens: 1_______ 2__ 3____ 4____________ 5_______ 6 7 8 9___ 10____ 11 12___ 13_____ 14_________ 15__________ 16

Chunks:

(ChunkerEvaluator) Sentence #179 from 00101462 from sent7

Text  : Zaangażowany w działalność Austriackiej Partii Ludowej ( ÖVP ) ._
Tokens: 1___________ 2 3__________ 4___________ 5_____ 6______ 7 8__ 9 10

Chunks:
  TruePositive nam [4,6] = Austriackiej Partii Ludowej (confidence=1.00)
  TruePositive nam [8,8] = ÖVP (confidence=0.99)

(ChunkerEvaluator) Sentence #180 from 00101462 from sent8

Text  : W latach 1990 – 1994 zasiadał Rady Narodowej , niższej izbie austriackiego parlamentu ._
Tokens: 1 2_____ 3___ 4 5___ 6_______ 7___ 8________ 9 10_____ 11___ 12___________ 13________ 14

Chunks:
  TruePositive nam [7,8] = Rady Narodowej (confidence=0.99)

(ChunkerEvaluator) Sentence #181 from 00101462 from sent9

Text  : Po akcesie Austrii do Unii Europejskiej w wyborach powszechnych w_ 1996 został deputowanym do europarlamentu ._
Tokens: 1_ 2______ 3______ 4_ 5___ 6___________ 7 8_______ 9___________ 10 11__ 12____ 13_________ 14 15____________ 16

Chunks:
  TruePositive nam [3,3] = Austrii (confidence=1.00)
  TruePositive nam [5,6] = Unii Europejskiej (confidence=1.00)

(ChunkerEvaluator) Sentence #182 from 00101462 from sent10

Text  : W 1999 uzyskał reelekcję .
Tokens: 1 2___ 3______ 4________ 5

Chunks:

(ChunkerEvaluator) Sentence #183 from 00101462 from sent11

Text  : Po raz trzeci zasiadał w PE w 2006 w miejsce Ursuli Stenzel ._
Tokens: 1_ 2__ 3_____ 4_______ 5 6_ 7 8___ 9 10_____ 11____ 12_____ 13

Chunks:
  TruePositive nam [6,6] = PE (confidence=0.99)
  TruePositive nam [11,12] = Ursuli Stenzel (confidence=0.99)

(ChunkerEvaluator) Sentence #184 from 00101462 from sent12

Text  : Był m . in . członkiem grupy chadeckiej , Komisji Spraw Zagranicznych ,_ Podkomisji Bezpieczeństwa i_ Obrony ,_ a_ w_ latach 2006 –_ 2009 przewodniczącym Delegacji do spraw stosunków z_ Półwyspem Koreańskim ._
Tokens: 1__ 2 3 4_ 5 6________ 7____ 8_________ 9 10_____ 11___ 12___________ 13 14________ 15____________ 16 17____ 18 19 20 21____ 22__ 23 24__ 25_____________ 26_______ 27 28___ 29_______ 30 31_______ 32________ 33

Chunks:
  TruePositive nam [10,12] = Komisji Spraw Zagranicznych (confidence=1.00)
  FalsePositive nam [14,15] = Podkomisji Bezpieczeństwa (confidence=0.89) (incorrect boundry)
  FalsePositive nam [17,17] = Obrony (confidence=0.67) (incorrect boundry)
  FalsePositive nam [31,32] = Półwyspem Koreańskim (confidence=1.00) (incorrect boundry)
  FalseNegative nam [14,17] = Podkomisji Bezpieczeństwa i Obrony
  FalseNegative nam [26,32] = Delegacji do spraw stosunków z Półwyspem Koreańskim

2017-06-14 20:06:31,309 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 17 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101476.xml
(ChunkerEvaluator) Sentence #185 from 00101476 from sent1

Text  : Borek ( powiat poddębicki )
Tokens: 1____ 2 3_____ 4_________ 5

Chunks:
  TruePositive nam [1,1] = Borek (confidence=0.98)
  TruePositive nam [4,4] = poddębicki (confidence=0.92)

(ChunkerEvaluator) Sentence #186 from 00101476 from sent2

Text  : Borek – wieś w Polsce położona w województwie łódzkim ,_ w_ powiecie poddębickim ,_ w_ gminie Wartkowice ._
Tokens: 1____ 2 3___ 4 5_____ 6_______ 7 8___________ 9______ 10 11 12______ 13_________ 14 15 16____ 17________ 18

Chunks:
  TruePositive nam [1,1] = Borek (confidence=0.99)
  TruePositive nam [5,5] = Polsce (confidence=1.00)
  TruePositive nam [9,9] = łódzkim (confidence=1.00)
  TruePositive nam [13,13] = poddębickim (confidence=0.99)
  TruePositive nam [17,17] = Wartkowice (confidence=1.00)

(ChunkerEvaluator) Sentence #187 from 00101476 from sent3

Text  : W latach 1975 - 1998 miejscowość należała administracyjnie do województwa sieradzkiego ._
Tokens: 1 2_____ 3___ 4 5___ 6__________ 7_______ 8_______________ 9_ 10_________ 11__________ 12

Chunks:
  TruePositive nam [11,11] = sieradzkiego (confidence=1.00)

2017-06-14 20:06:31,319 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 18 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101495.xml
(ChunkerEvaluator) Sentence #188 from 00101495 from sent1

Text  : Zenon Smolarek
Tokens: 1____ 2_______

Chunks:
  TruePositive nam [1,2] = Zenon Smolarek (confidence=1.00)

(ChunkerEvaluator) Sentence #189 from 00101495 from sent2

Text  : Zenon Smolarek ( ur . 1938 ) , polski oficer policji ,_ były komendant główny policji ._
Tokens: 1____ 2_______ 3 4_ 5 6___ 7 8 9_____ 10____ 11_____ 12 13__ 14_______ 15____ 16_____ 17

Chunks:
  TruePositive nam [1,2] = Zenon Smolarek (confidence=1.00)

(ChunkerEvaluator) Sentence #190 from 00101495 from sent3

Text  : W 1963 rozpoczął służbę w Milicji Obywatelskiej .
Tokens: 1 2___ 3________ 4_____ 5 6______ 7____________ 8

Chunks:
  TruePositive nam [6,7] = Milicji Obywatelskiej (confidence=1.00)

(ChunkerEvaluator) Sentence #191 from 00101495 from sent4

Text  : Ukończył studia na Wydziale Prawa Uniwersytetu Adama Mickiewicza w Poznaniu oraz w_ Szkole Oficerskiej MO w_ Szczytnie ._
Tokens: 1_______ 2_____ 3_ 4_______ 5____ 6___________ 7____ 8__________ 9 10______ 11__ 12 13____ 14_________ 15 16 17_______ 18

Chunks:
  TruePositive nam [10,10] = Poznaniu (confidence=1.00)
  TruePositive nam [17,17] = Szczytnie (confidence=1.00)
  FalsePositive nam [4,6] = Wydziale Prawa Uniwersytetu (confidence=0.88) (incorrect boundry)
  FalsePositive nam [7,8] = Adama Mickiewicza (confidence=0.56) (incorrect boundry)
  FalsePositive nam [13,15] = Szkole Oficerskiej MO (confidence=1.00) (incorrect boundry)
  FalseNegative nam [4,5] = Wydziale Prawa
  FalseNegative nam [6,8] = Uniwersytetu Adama Mickiewicza
  FalseNegative nam [13,14] = Szkole Oficerskiej
  FalseNegative nam [15,15] = MO

(ChunkerEvaluator) Sentence #192 from 00101495 from sent5

Text  : W trakcie służby w MO zajmował stanowiska : starszego referenta i_ kierownika inspektoratu ruchu drogowego MO w_ Pile oraz zastępcy komendanta miejskiego w_ Ostrowie Wielkopolskim ,_ a_ następnie ,_ przez 19 lat ,_ zastępcy naczelnika i_ naczelnika Wydziału Dochodzeniowo -_ Śledczego Wojewódzkiego Urzędu Spraw Wewnętrznych w_ Poznaniu ._
Tokens: 1 2______ 3_____ 4 5_ 6_______ 7_________ 8 9________ 10_______ 11 12________ 13__________ 14___ 15_______ 16 17 18__ 19__ 20______ 21________ 22________ 23 24______ 25___________ 26 27 28_______ 29 30___ 31 32_ 33 34______ 35________ 36 37________ 38______ 39___________ 40 41_______ 42___________ 43____ 44___ 45__________ 46 47______ 48

Chunks:
  TruePositive nam [5,5] = MO (confidence=1.00)
  TruePositive nam [16,16] = MO (confidence=0.97)
  TruePositive nam [18,18] = Pile (confidence=1.00)
  TruePositive nam [24,25] = Ostrowie Wielkopolskim (confidence=1.00)
  TruePositive nam [47,47] = Poznaniu (confidence=1.00)
  FalsePositive nam [38,45] = Wydziału Dochodzeniowo - Śledczego Wojewódzkiego Urzędu Spraw Wewnętrznych (confidence=1.00) (incorrect boundry)
  FalseNegative nam [38,41] = Wydziału Dochodzeniowo - Śledczego
  FalseNegative nam [42,45] = Wojewódzkiego Urzędu Spraw Wewnętrznych

(ChunkerEvaluator) Sentence #193 from 00101495 from sent6

Text  : 7 czerwca 1990 mianowany komendantem wojewódzkim policji w Poznaniu ._
Tokens: 1 2______ 3___ 4________ 5__________ 6__________ 7______ 8 9_______ 10

Chunks:
  TruePositive nam [9,9] = Poznaniu (confidence=1.00)

(ChunkerEvaluator) Sentence #194 from 00101495 from sent7

Text  : Od 25 lutego 1992 do 8 lutego 1995 pełnił funkcję komendanta głównego policji ._
Tokens: 1_ 2_ 3_____ 4___ 5_ 6 7_____ 8___ 9_____ 10_____ 11________ 12______ 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #195 from 00101495 from sent8

Text  : Inicjator budowy Pomnika Pomordowanych Policjantów II RP Województwa Poznańskiego ._
Tokens: 1________ 2_____ 3______ 4____________ 5__________ 6_ 7_ 8__________ 9___________ 10

Chunks:
  FalsePositive nam [3,5] = Pomnika Pomordowanych Policjantów (confidence=1.00) (incorrect boundry)
  FalsePositive nam [6,9] = II RP Województwa Poznańskiego (confidence=0.68) (incorrect boundry)
  FalseNegative nam [3,9] = Pomnika Pomordowanych Policjantów II RP Województwa Poznańskiego

2017-06-14 20:06:31,355 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 19 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101518.xml
(ChunkerEvaluator) Sentence #196 from 00101518 from sent1

Text  : — A smarkaty jeszcze , ale tym łatwiej Salusia i_ kozła ,_ i_ barana zrobić z_ niego zdoła !_
Tokens: 1 2 3_______ 4______ 5 6__ 7__ 8______ 9______ 10 11___ 12 13 14____ 15____ 16 17___ 18___ 19

Chunks:
  TruePositive nam [9,9] = Salusia (confidence=0.99)

(ChunkerEvaluator) Sentence #197 from 00101518 from sent2

Text  : — Ze wszystkich kawalerów , jakie tylko są w powiecie ,_ najbogatszy !_
Tokens: 1 2_ 3_________ 4________ 5 6____ 7____ 8_ 9 10______ 11 12_________ 13

Chunks:

(ChunkerEvaluator) Sentence #198 from 00101518 from sent3

Text  : — Żeby i bryliantowy cały był , ja by za niego nie poszła ._
Tokens: 1 2___ 3 4__________ 5___ 6__ 7 8_ 9_ 10 11___ 12_ 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #199 from 00101518 from sent4

Text  : Taka niedostała trawa !
Tokens: 1___ 2_________ 3____ 4

Chunks:

(ChunkerEvaluator) Sentence #200 from 00101518 from sent5

Text  : — Jedynak , do wojska nie pójdzie , to i_ żenić się jemu pora ,_ a_ gospodyni ,_ słyszę ,_ potrzebują w_ chacie ._
Tokens: 1 2______ 3 4_ 5_____ 6__ 7______ 8 9_ 10 11___ 12_ 13__ 14__ 15 16 17_______ 18 19____ 20 21________ 22 23____ 24

Chunks:

(ChunkerEvaluator) Sentence #201 from 00101518 from sent6

Text  : — Ociec , słyszę , wszędzie oświadcza , że z_ pięknego domu żonkę dla syna wziąć życzy ._ ._ ._
Tokens: 1 2____ 3 4_____ 5 6_______ 7________ 8 9_ 10 11______ 12__ 13___ 14_ 15__ 16___ 17___ 18 19 20

Chunks:

(ChunkerEvaluator) Sentence #202 from 00101518 from sent7

Text  : — Temuż go tutaj w swaty przysłał !
Tokens: 1 2____ 3_ 4____ 5 6____ 7_______ 8

Chunks:

(ChunkerEvaluator) Sentence #203 from 00101518 from sent8

Text  : — Niczego nawet sobie , tylko że jeszcze bardzo niezgrabny ._ ._ ._ czysty kołek w_ ziemię wkopany !_
Tokens: 1 2______ 3____ 4____ 5 6____ 7_ 8______ 9_____ 10________ 11 12 13 14____ 15___ 16 17____ 18_____ 19

Chunks:

(ChunkerEvaluator) Sentence #204 from 00101518 from sent9

Text  : Tu Pancewiczowa wniosła i umieściła na stole bochen chleba ,_ talerze ,_ łyżki cynowe i_ sztućce w_ drewnianej oprawie ;_ Jaśmont też zaraz mniej mówić i_ bardzo zamyślać się począł ,_ a_ gdy na stół butelka z_ wódką i_ druga z_ pitnym miodem jeszcze przybyły ,_ ruchem głowy bujną czuprynę w_ tył odrzucił ,_ po wszystkich spojrzał ,_ chwilę jeszcze milczał ,_ aż głosem zniżonym i_ jak by zasmuconym mówić zaczął :_
Tokens: 1_ 2___________ 3______ 4 5________ 6_ 7____ 8_____ 9_____ 10 11_____ 12 13___ 14____ 15 16_____ 17 18________ 19_____ 20 21_____ 22_ 23___ 24___ 25___ 26 27____ 28______ 29_ 30____ 31 32 33_ 34 35__ 36_____ 37 38___ 39 40___ 41 42____ 43____ 44_____ 45______ 46 47____ 48___ 49___ 50______ 51 52_ 53______ 54 55 56________ 57______ 58 59____ 60_____ 61_____ 62 63 64____ 65______ 66 67_ 68 69________ 70___ 71____ 72

Chunks:
  TruePositive nam [2,2] = Pancewiczowa (confidence=0.90)
  FalseNegative nam [21,21] = Jaśmont

(ChunkerEvaluator) Sentence #205 from 00101518 from sent10

Text  : — Otóż i nadszedł ten moment , w którym o_ losie naszym dowiedzieć się nam przyjdzie ,_ a_ chociaż serce od niespokojności bije ,_ lecz na dłuższe odkładanie też zgodzić się nie chce i_ rozkazuje mi wszystkich państwa pięknie prosić ,_ aby ście tego ,_ co powiem ,_ życzliwymi uszyma wysłuchali ._
Tokens: 1 2___ 3 4_______ 5__ 6_____ 7 8 9_____ 10 11___ 12____ 13________ 14_ 15_ 16_______ 17 18 19_____ 20___ 21 22____________ 23__ 24 25__ 26 27_____ 28________ 29_ 30_____ 31_ 32_ 33__ 34 35_______ 36 37________ 38_____ 39_____ 40____ 41 42_ 43__ 44__ 45 46 47____ 48 49________ 50____ 51________ 52

Chunks:

(ChunkerEvaluator) Sentence #206 from 00101518 from sent11

Text  : Słuchali .
Tokens: 1_______ 2

Chunks:

(ChunkerEvaluator) Sentence #207 from 00101518 from sent12

Text  : Świetlicę zaległa cisza , śród której słychać było lekkie szmery drzew za oknami ._
Tokens: 1________ 2______ 3____ 4 5___ 6_____ 7______ 8___ 9_____ 10____ 11___ 12 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #208 from 00101518 from sent13

Text  : Jaśmont obie duże , piegowate ręce na stole położył i_ znowu mówić począł :_
Tokens: 1______ 2___ 3___ 4 5________ 6___ 7_ 8____ 9______ 10 11___ 12___ 13____ 14

Chunks:
  FalseNegative nam [1,1] = Jaśmont

(ChunkerEvaluator) Sentence #209 from 00101518 from sent14

Text  : — Małżeństwo , spólność żywota nierozdzielną mające , w kościele siódmy sakrament święty ,_ rzecz przyrodzona człeku i_ poczciwa ._
Tokens: 1 2_________ 3 4_______ 5_____ 6____________ 7_____ 8 9 10______ 11____ 12_______ 13____ 14 15___ 16_________ 17____ 18 19______ 20

Chunks:

(ChunkerEvaluator) Sentence #210 from 00101518 from sent15

Text  : Dobrze jest je zawierać , dobrze i zawieraniu jego ku pomocy stawać ._
Tokens: 1_____ 2___ 3_ 4_______ 5 6_____ 7 8_________ 9___ 10 11____ 12____ 13

Chunks:

(ChunkerEvaluator) Sentence #211 from 00101518 from sent16

Text  : Z tą pomocą ja panu Cydzikowi , tu przytomnym będącemu ,_ chętliwie przybiec zgodził em się ,_ do zacnego tego domu spólnie z_ nim przybył em ,_ aby w_ interesie jego ,_ najważniejszym ,_ jaki tylko na świecie człowiek mieć może ,_ życzliwym a_ prawdziwym słowem przemówić ._
Tokens: 1 2_ 3_____ 4_ 5___ 6________ 7 8_ 9_________ 10______ 11 12_______ 13______ 14_____ 15 16_ 17 18 19_____ 20__ 21__ 22_____ 23 24_ 25_____ 26 27 28_ 29 30_______ 31__ 32 33____________ 34 35__ 36___ 37 38_____ 39______ 40__ 41__ 42 43_______ 44 45________ 46____ 47_______ 48

Chunks:
  TruePositive nam [6,6] = Cydzikowi (confidence=1.00)

(ChunkerEvaluator) Sentence #212 from 00101518 from sent17

Text  : Tu zaczął wychwalać osobiste przymioty kawalera , jako to :_ poczciwość ,_ trzeźwość ,_ delikatność ,_ synowską miłość ;_ warunki urodzenia jego :_ jako pochodził z_ familii godnej ,_ u_ wszystkich w_ poważaniu będącej ;_ warunki majątkowe :_ jako jedynakiem jest u_ ojca ,_ bo choć siostry ma ,_ ale te wyposażone i_ za mąż wydane ,_ a_ ociec ,_ można powiedzieć ,_ że nie na zagrodzie już ,_ ale jakby na osobnym folwarku siedzi ,_ z_ półtora włóki dobrej ziemi mając ,_ dom na dwa końce wyporządzony ,_ dziesięć pięknych krówek w_ oborze ,_ sto drzewek fruktowych w_ młodym sadziku ;__ a__ to_ tam u__ niego ,__ obok tych rzeczy widzialnych ,__ naleźć się może takich ,__ których nikt nie widzi ,__ bo_ są_ ostrożnie schowane ,__ ale które on_ ,__ jako dobry ociec ,__ dla najmilszego syna jedynaka pilnie zgromadza ,__ o__ tym mówić nie potrzeba ,__ ponieważ na_ dłoni okazać ich nie można ,__ ale wszyscy znają pana Onufrego Cydzika i__ wiedzą ,__ że_ syn i__ sukcesor pustych skrzynek i__ próżnej sakiewki po_ nim nie odziedziczy .__
Tokens: 1_ 2_____ 3________ 4_______ 5________ 6_______ 7 8___ 9_ 10 11________ 12 13_______ 14 15_________ 16 17______ 18____ 19 20_____ 21_______ 22__ 23 24__ 25_______ 26 27_____ 28____ 29 30 31________ 32 33_______ 34_____ 35 36_____ 37_______ 38 39__ 40________ 41__ 42 43__ 44 45 46__ 47_____ 48 49 50_ 51 52________ 53 54 55_ 56____ 57 58 59___ 60 61___ 62________ 63 64 65_ 66 67_______ 68_ 69 70_ 71___ 72 73_____ 74______ 75____ 76 77 78_____ 79___ 80____ 81___ 82___ 83 84_ 85 86_ 87___ 88__________ 89 90______ 91______ 92____ 93 94____ 95 96_ 97_____ 98________ 99 100___ 101____ 102 103 104 105 106 107__ 108 109_ 110_ 111___ 112________ 113 114___ 115 116_ 117___ 118 119____ 120_ 121 122__ 123 124 125 126______ 127_____ 128 129 130__ 131 132 133_ 134__ 135__ 136 137 138________ 139_ 140_____ 141___ 142______ 143 144 145 146__ 147 148_____ 149 150_____ 151 152__ 153___ 154 155 156__ 157 158 159____ 160__ 161_ 162_____ 163____ 164 165___ 166 167 168 169 170_____ 171____ 172_____ 173 174____ 175_____ 176 177 178 179________ 180

Chunks:
  TruePositive nam [162,163] = Onufrego Cydzika (confidence=1.00)

2017-06-14 20:06:31,518 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 20 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101546.xml
(ChunkerEvaluator) Sentence #213 from 00101546 from sent1

Text  : Wydano kolejną wersję wielo - platformowego klienta sieci BitTorrent napisanego w_ języku C_ ._ Jest on wolnym oprogramowaniem na dwóch licencjach :_ licencji MIT oraz GNU General Public License ._
Tokens: 1_____ 2______ 3_____ 4____ 5 6____________ 7______ 8____ 9_________ 10________ 11 12____ 13 14 15__ 16 17____ 18_____________ 19 20___ 21________ 22 23______ 24_ 25__ 26_ 27_____ 28____ 29_____ 30

Chunks:
  TruePositive nam [9,9] = BitTorrent (confidence=0.91)
  TruePositive nam [24,24] = MIT (confidence=0.74)
  TruePositive nam [26,29] = GNU General Public License (confidence=1.00)
  FalseNegative nam [13,13] = C

(ChunkerEvaluator) Sentence #214 from 00101546 from sent2

Text  : Posiada takie możliwości , jak : szyfrowanie protokołu , obsługa UPnP i_ NAT -_ PMP ,_ wymiana listy peerów ,_ możliwość zdalnej obsługi za pomocą przeglądarki (_ WebGUI )_ ,_ harmonogram pobierania ,_ ograniczanie prędkości wysyłania i_ pobierania danych ,_ swobodny wybór plików do pominięcia ,_ możliwość ustawiania priorytetów dla ściąganych torrentów ,_ a_ także dla poszczególnych plików wewnątrz torrenta ._
Tokens: 1______ 2____ 3_________ 4 5__ 6 7__________ 8________ 9 10_____ 11__ 12 13_ 14 15_ 16 17_____ 18___ 19____ 20 21_______ 22_____ 23_____ 24 25____ 26__________ 27 28____ 29 30 31_________ 32________ 33 34__________ 35_______ 36_______ 37 38________ 39____ 40 41______ 42___ 43____ 44 45________ 46 47_______ 48________ 49_________ 50_ 51________ 52_______ 53 54 55___ 56_ 57____________ 58____ 59______ 60______ 61

Chunks:
  TruePositive nam [11,11] = UPnP (confidence=0.86)
  TruePositive nam [13,15] = NAT - PMP (confidence=0.96)
  TruePositive nam [28,28] = WebGUI (confidence=0.78)

(ChunkerEvaluator) Sentence #215 from 00101546 from sent3

Text  : Ukazał się kolejny archiwalny numer magazynu Software 2 . 0_ ._
Tokens: 1_____ 2__ 3______ 4_________ 5____ 6_______ 7_______ 8 9 10 11

Chunks:
  TruePositive nam [7,10] = Software 2 . 0 (confidence=1.00)

(ChunkerEvaluator) Sentence #216 from 00101546 from sent4

Text  : Na jego łamach znajdziecie nowości z branży IT , oraz praktyczne artykuły prezentujące ciekawe rozwiązania programistyczne ._
Tokens: 1_ 2___ 3_____ 4__________ 5______ 6 7_____ 8_ 9 10__ 11________ 12______ 13__________ 14_____ 15_________ 16_____________ 17

Chunks:
  FalsePositive nam [8,8] = IT (confidence=0.97) (incorrect boundry)

(ChunkerEvaluator) Sentence #217 from 00101546 from sent5

Text  : ydano kolejną wersję wielo - platformowego klienta sieci BitTorrent napisanego w_ języku C_ ._ Jest on wolnym oprogramowaniem na dwóch licencjach :_ licencji MIT oraz GNU General Public License ._
Tokens: 1____ 2______ 3_____ 4____ 5 6____________ 7______ 8____ 9_________ 10________ 11 12____ 13 14 15__ 16 17____ 18_____________ 19 20___ 21________ 22 23______ 24_ 25__ 26_ 27_____ 28____ 29_____ 30

Chunks:
  TruePositive nam [9,9] = BitTorrent (confidence=0.91)
  TruePositive nam [24,24] = MIT (confidence=0.74)
  TruePositive nam [26,29] = GNU General Public License (confidence=1.00)
  FalseNegative nam [13,13] = C

(ChunkerEvaluator) Sentence #218 from 00101546 from sent6

Text  : Posiada takie możliwości , jak : szyfrowanie protokołu , obsługa UPnP i_ NAT -_ PMP ,_ wymiana listy peerów ,_ możliwość zdalnej obsługi za pomocą przeglądarki (_ WebGUI )_ ,_ harmonogram pobierania ,_ ograniczanie prędkości wysyłania i_ pobierania danych ,_ swobodny wybór plików do pominięcia ,_ możliwość ustawiania priorytetów dla ściąganych torrentów ,_ a_ także dla poszczególnych plików wewnątrz torrenta ,_ blokowanie adresów IP ,_ łączenie z_ trackerami poprzez protokół HTTPS ,_ obsługa IPv6 ,_ tworzenie plików torrent ,_ opcja sortowania i_ filtrowania ,_ pojedyncze nasłuchiwanie portu dla każdego torrenta ,_ obsługa DHT ,_ uniwersalna binarka (_ dotyczy systemu Mac OS_ )__ ,__ automatyczna aktualizacja z__ użyciem Sparkle (__ dotyczy systemu Mac OS_ )__ .__
Tokens: 1______ 2____ 3_________ 4 5__ 6 7__________ 8________ 9 10_____ 11__ 12 13_ 14 15_ 16 17_____ 18___ 19____ 20 21_______ 22_____ 23_____ 24 25____ 26__________ 27 28____ 29 30 31_________ 32________ 33 34__________ 35_______ 36_______ 37 38________ 39____ 40 41______ 42___ 43____ 44 45________ 46 47_______ 48________ 49_________ 50_ 51________ 52_______ 53 54 55___ 56_ 57____________ 58____ 59______ 60______ 61 62________ 63_____ 64 65 66______ 67 68________ 69_____ 70______ 71___ 72 73_____ 74__ 75 76_______ 77____ 78_____ 79 80___ 81________ 82 83_________ 84 85________ 86___________ 87___ 88_ 89_____ 90______ 91 92_____ 93_ 94 95_________ 96_____ 97 98_____ 99_____ 100 101 102 103 104_________ 105_________ 106 107____ 108____ 109 110____ 111____ 112 113 114 115

Chunks:
  TruePositive nam [11,11] = UPnP (confidence=0.86)
  TruePositive nam [13,15] = NAT - PMP (confidence=0.96)
  TruePositive nam [28,28] = WebGUI (confidence=0.78)
  TruePositive nam [71,71] = HTTPS (confidence=0.97)
  TruePositive nam [74,74] = IPv6 (confidence=0.96)
  TruePositive nam [93,93] = DHT (confidence=0.97)
  TruePositive nam [100,101] = Mac OS (confidence=1.00)
  TruePositive nam [108,108] = Sparkle (confidence=0.96)
  TruePositive nam [112,113] = Mac OS (confidence=1.00)
  FalsePositive nam [64,64] = IP (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #219 from 00101546 from sent7

Text  : Wydana została kolejna wersja klienta p2p sieci Bittorrent , napisanego przy użyciu języka C_ +_ +_ oraz biblioteki Qt w_ wersji 4_ ._ 1_ ._
Tokens: 1_____ 2______ 3______ 4_____ 5______ 6__ 7____ 8_________ 9 10________ 11__ 12____ 13____ 14 15 16 17__ 18________ 19 20 21____ 22 23 24 25

Chunks:
  TruePositive nam [8,8] = Bittorrent (confidence=1.00)
  TruePositive nam [19,19] = Qt (confidence=0.91)
  FalseNegative nam [14,16] = C + +
  FalseNegative nam [22,25] = 4 . 1 .

(ChunkerEvaluator) Sentence #220 from 00101546 from sent8

Text  : Program jest rozpowszechniany na licencji GPL , a jego twórcą projektu jest francuski student Christophe Dumez ._
Tokens: 1______ 2___ 3_______________ 4_ 5_______ 6__ 7 8 9___ 10____ 11______ 12__ 13_______ 14_____ 15________ 16___ 17

Chunks:
  TruePositive nam [6,6] = GPL (confidence=1.00)
  TruePositive nam [15,16] = Christophe Dumez (confidence=1.00)

(ChunkerEvaluator) Sentence #221 from 00101546 from sent9

Text  : Oparł on swój projekt na bibliotece libtorrent autorstwa Arvida Norberga ,_ przez co ten projekt można łatwo przenosić pomiędzy różnymi platformami ._
Tokens: 1____ 2_ 3___ 4______ 5_ 6_________ 7_________ 8________ 9_____ 10______ 11 12___ 13 14_ 15_____ 16___ 17___ 18_______ 19______ 20_____ 21_________ 22

Chunks:
  TruePositive nam [9,10] = Arvida Norberga (confidence=1.00)
  FalseNegative nam [7,7] = libtorrent

(ChunkerEvaluator) Sentence #222 from 00101546 from sent10

Text  : Dostępne są takie aplikacje jak Firefox , Opera oraz gFTP ._
Tokens: 1_______ 2_ 3____ 4________ 5__ 6______ 7 8____ 9___ 10__ 11

Chunks:
  TruePositive nam [6,6] = Firefox (confidence=1.00)
  TruePositive nam [8,8] = Opera (confidence=0.76)
  TruePositive nam [10,10] = gFTP (confidence=0.95)

(ChunkerEvaluator) Sentence #223 from 00101546 from sent11

Text  : Z systemu usunięto natomiast gslapt oraz slapt - get ._
Tokens: 1 2______ 3_______ 4________ 5_____ 6___ 7____ 8 9__ 10

Chunks:
  FalseNegative nam [5,5] = gslapt
  FalseNegative nam [7,10] = slapt - get .

(ChunkerEvaluator) Sentence #224 from 00101546 from sent12

Text  : Mark Shuttleworth opisuje na swoim blogu dlaczego została wybrana tak a_ nazwa ._
Tokens: 1___ 2___________ 3______ 4_ 5____ 6____ 7_______ 8______ 9______ 10_ 11 12___ 13

Chunks:
  TruePositive nam [1,2] = Mark Shuttleworth (confidence=0.98)

(ChunkerEvaluator) Sentence #225 from 00101546 from sent13

Text  : Mark dąży do tego , aby system był dostarczany na komputerach ,_ przez największych producentów sprzętu ._
Tokens: 1___ 2___ 3_ 4___ 5 6__ 7_____ 8__ 9__________ 10 11_________ 12 13___ 14__________ 15_________ 16_____ 17

Chunks:
  FalseNegative nam [1,1] = Mark

2017-06-14 20:06:31,625 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 21 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101570.xml
(ChunkerEvaluator) Sentence #226 from 00101570 from sent1

Text  : Rzym , 10 stycznia .
Tokens: 1___ 2 3_ 4_______ 5

Chunks:
  FalseNegative nam [1,1] = Rzym

(ChunkerEvaluator) Sentence #227 from 00101570 from sent2

Text  : Wczoraj na wieczorze u ks . Malatesta usłyszał em frazes :_ ľimproductivité slave ._
Tokens: 1______ 2_ 3________ 4 5_ 6 7________ 8_______ 9_ 10____ 11 12_____________ 13___ 14

Chunks:
  TruePositive nam [7,7] = Malatesta (confidence=0.99)
  FalseNegative nam [13,13] = slave

(ChunkerEvaluator) Sentence #228 from 00101570 from sent3

Text  : Doznał em ulgi , jak owi chorzy nerwowi , którzy dowiedziawszy się od doktora ,_ że objawy ich choroby są znane i_ że wiele osób cierpi podobnie ,_ cieszą się z_ tej wiadomości ._
Tokens: 1_____ 2_ 3___ 4 5__ 6__ 7_____ 8______ 9 10____ 11___________ 12_ 13 14_____ 15 16 17____ 18_ 19_____ 20 21___ 22 23 24___ 25__ 26____ 27______ 28 29____ 30_ 31 32_ 33________ 34

Chunks:

(ChunkerEvaluator) Sentence #229 from 00101570 from sent4

Text  : Prawda !
Tokens: 1_____ 2

Chunks:

(ChunkerEvaluator) Sentence #230 from 00101570 from sent5

Text  : prawda !
Tokens: 1_____ 2

Chunks:

(ChunkerEvaluator) Sentence #231 from 00101570 from sent6

Text  : ilu to ja mam kolegów – nie wiem , czy w_ całej Słowiańszczyźnie ;_ bo jej nie znam –_ ale ilu u_ nas !_
Tokens: 1__ 2_ 3_ 4__ 5______ 6 7__ 8___ 9 10_ 11 12___ 13______________ 14 15 16_ 17_ 18__ 19 20_ 21_ 22 23_ 24

Chunks:
  TruePositive nam [13,13] = Słowiańszczyźnie (confidence=0.97)

(ChunkerEvaluator) Sentence #232 from 00101570 from sent7

Text  : Myślał em o tej improductivité slave całą noc .
Tokens: 1_____ 2_ 3 4__ 5_____________ 6____ 7___ 8__ 9

Chunks:
  FalseNegative nam [6,6] = slave

(ChunkerEvaluator) Sentence #233 from 00101570 from sent8

Text  : Niegłupi był człowiek , który to tak sformułował .
Tokens: 1_______ 2__ 3_______ 4 5____ 6_ 7__ 8__________ 9

Chunks:

(ChunkerEvaluator) Sentence #234 from 00101570 from sent9

Text  : Jest w nas coś takiego ; jest jakaś nieudolność życiowa do wydania z_ siebie wszystkiego ,_ co się w_ nas mieści ._
Tokens: 1___ 2 3__ 4__ 5______ 6 7___ 8____ 9__________ 10_____ 11 12_____ 13 14____ 15_________ 16 17 18_ 19 20_ 21____ 22

Chunks:

(ChunkerEvaluator) Sentence #235 from 00101570 from sent10

Text  : Można rzec , że Bóg dał nam łuk i strzały ;_ tylko odmówił zdolności do napięcia tego łuku i_ wypuszczenia strzał ._
Tokens: 1____ 2___ 3 4_ 5__ 6__ 7__ 8__ 9 10_____ 11 12___ 13_____ 14_______ 15 16______ 17__ 18__ 19 20__________ 21____ 22

Chunks:
  TruePositive nam [5,5] = Bóg (confidence=1.00)

(ChunkerEvaluator) Sentence #236 from 00101570 from sent11

Text  : Pogadał by m o tym z ojcem , zwłaszcza że ojciec lubi podobne rozprawy ,_ ale boję się dotknąć bolączki ._
Tokens: 1______ 2_ 3 4 5__ 6 7____ 8 9________ 10 11____ 12__ 13_____ 14______ 15 16_ 17__ 18_ 19_____ 20______ 21

Chunks:

(ChunkerEvaluator) Sentence #237 from 00101570 from sent12

Text  : Myślę natomiast , że napełnię i przepełnię dziennik tą kwestią ._
Tokens: 1____ 2________ 3 4_ 5_______ 6 7_________ 8_______ 9_ 10_____ 11

Chunks:

(ChunkerEvaluator) Sentence #238 from 00101570 from sent13

Text  : Może to jednak właśnie będzie dobrze , może to będzie stanowiło jego główną wartość ?_
Tokens: 1___ 2_ 3_____ 4______ 5_____ 6_____ 7 8___ 9_ 10____ 11_______ 12__ 13____ 14_____ 15

Chunks:

(ChunkerEvaluator) Sentence #239 from 00101570 from sent14

Text  : Przy tym cóż naturalniejszego nad to , że będę pisał o_ tym ,_ co mnie najwięcej obchodzi ?_
Tokens: 1___ 2__ 3__ 4_______________ 5__ 6_ 7 8_ 9___ 10___ 11 12_ 13 14 15__ 16_______ 17______ 18

Chunks:

(ChunkerEvaluator) Sentence #240 from 00101570 from sent15

Text  : Każdy człowiek nosi w sobie jakąś swoją tragedię .
Tokens: 1____ 2_______ 3___ 4 5____ 6____ 7____ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #241 from 00101570 from sent16

Text  : Otóż moją tragedią jest ta improductivité Płoszowskich .
Tokens: 1___ 2___ 3_______ 4___ 5_ 6_____________ 7___________ 8

Chunks:
  TruePositive nam [7,7] = Płoszowskich (confidence=0.92)

(ChunkerEvaluator) Sentence #242 from 00101570 from sent17

Text  : Wobec ludzi nie ma teraz zwyczaju zdradzać się z takimi rzeczami ._
Tokens: 1____ 2____ 3__ 4_ 5____ 6_______ 7_______ 8__ 9 10____ 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #243 from 00101570 from sent18

Text  : W niedawnych jeszcze czasach , gdy romantyzm kwitnął w sercach i_ w_ poezji ,_ nosiło się swą tragedię jak malowniczo drapowany płaszcz ,_ obecnie nosi się ją jak jegierowski kaftanik :_ pod koszulą ._
Tokens: 1 2_________ 3______ 4______ 5 6__ 7________ 8______ 9 10_____ 11 12 13____ 14 15____ 16_ 17_ 18______ 19_ 20________ 21_______ 22_____ 23 24_____ 25__ 26_ 27 28_ 29_________ 30______ 31 32_ 33_____ 34

Chunks:

(ChunkerEvaluator) Sentence #244 from 00101570 from sent19

Text  : Ale dziennik to co innego ; w dzienniku wolno i_ należy być szczerym ._
Tokens: 1__ 2_______ 3_ 4_ 5_____ 6 7 8________ 9____ 10 11____ 12_ 13______ 14

Chunks:

2017-06-14 20:06:31,700 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 22 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101579.xml
(ChunkerEvaluator) Sentence #245 from 00101579 from sent1

Text  : Odnośnie do tego , czy będziemy mieli do czynienia z_ rozbudową i_ działalnością ,_ nie wiem ,_ developerską na terenie gminy ,_ jeśli chodzi o_ spółkę uzdrowiskową ,_ to jej sprywatyzowanie nie ma nic wspólnego z_ kwestiami dotyczącymi zmiany funkcji ,_ jaką ona pełni ._
Tokens: 1_______ 2_ 3___ 4 5__ 6_______ 7____ 8_ 9________ 10 11_______ 12 13___________ 14 15_ 16__ 17 18__________ 19 20_____ 21___ 22 23___ 24____ 25 26____ 27__________ 28 29 30_ 31_____________ 32_ 33 34_ 35_______ 36 37_______ 38_________ 39____ 40_____ 41 42__ 43_ 44___ 45

Chunks:

(ChunkerEvaluator) Sentence #246 from 00101579 from sent2

Text  : Natomiast jeżeli chodzi o to , co będzie się działo na terenie uzdrowiska ,_ to jest to po pierwsze ,_ kwestia właśnie ustalenia stref ,_ po drugie ,_ tego ,_ co można w_ tych strefach wykonywać ,_ jaką działalność prowadzić ,_ czy można budować ,_ czy nie ,_ a_ to wszystko jest zapisane w_ ustawie ._
Tokens: 1________ 2_____ 3_____ 4 5_ 6 7_ 8_____ 9__ 10____ 11 12_____ 13________ 14 15 16__ 17 18 19______ 20 21_____ 22_____ 23_______ 24___ 25 26 27____ 28 29__ 30 31 32___ 33 34__ 35______ 36_______ 37 38__ 39_________ 40_______ 41 42_ 43___ 44_____ 45 46_ 47_ 48 49 50 51______ 52__ 53______ 54 55_____ 56

Chunks:

(ChunkerEvaluator) Sentence #247 from 00101579 from sent3

Text  : To , co będzie można na terenie gminy , czyli uzdrowiska ,_ wykonywać ,_ jest konsekwencją tych przepisów i_ decyzji ,_ które podejmuje rada gminy ,_ przygotowując operat uzdrowiskowy zgodnie z_ przepisami ustawy uzdrowiskowej ._
Tokens: 1_ 2 3_ 4_____ 5____ 6_ 7______ 8____ 9 10___ 11________ 12 13_______ 14 15__ 16__________ 17__ 18_______ 19 20_____ 21 22___ 23_______ 24__ 25___ 26 27___________ 28____ 29__________ 30_____ 31 32________ 33____ 34___________ 35

Chunks:

(ChunkerEvaluator) Sentence #248 from 00101579 from sent4

Text  : Dziękuję bardzo .
Tokens: 1_______ 2_____ 3

Chunks:

(ChunkerEvaluator) Sentence #249 from 00101579 from sent5

Text  : ( Oklaski )
Tokens: 1 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #250 from 00101579 from sent6

Text  : Wicemarszałek Jerzy Szmajdziński :
Tokens: 1____________ 2____ 3___________ 4

Chunks:
  TruePositive nam [2,3] = Jerzy Szmajdziński (confidence=1.00)

(ChunkerEvaluator) Sentence #251 from 00101579 from sent7

Text  : Dziękuję bardzo .
Tokens: 1_______ 2_____ 3

Chunks:

(ChunkerEvaluator) Sentence #252 from 00101579 from sent8

Text  : Posłowie Józef Piotr Klim i Leszek Cieślik z Platformy Obywatelskiej zadadzą pytanie w_ sprawie harmonogramu prac inwestycyjnych drogi ekspresowej S8 na odcinku Białystok –_ Warszawa do ministra infrastruktury ._
Tokens: 1_______ 2____ 3____ 4___ 5 6_____ 7______ 8 9________ 10___________ 11_____ 12_____ 13 14_____ 15__________ 16__ 17____________ 18___ 19_________ 20 21 22_____ 23_______ 24 25______ 26 27______ 28____________ 29

Chunks:
  TruePositive nam [2,4] = Józef Piotr Klim (confidence=1.00)
  TruePositive nam [6,7] = Leszek Cieślik (confidence=1.00)
  TruePositive nam [9,10] = Platformy Obywatelskiej (confidence=0.99)
  TruePositive nam [20,20] = S8 (confidence=0.97)
  TruePositive nam [23,23] = Białystok (confidence=1.00)
  TruePositive nam [25,25] = Warszawa (confidence=0.95)

(ChunkerEvaluator) Sentence #253 from 00101579 from sent9

Text  : Jako pierwszy pan poseł Józef Piotr Klim .
Tokens: 1___ 2_______ 3__ 4____ 5____ 6____ 7___ 8

Chunks:
  TruePositive nam [5,7] = Józef Piotr Klim (confidence=1.00)

(ChunkerEvaluator) Sentence #254 from 00101579 from sent10

Text  : Proszę bardzo .
Tokens: 1_____ 2_____ 3

Chunks:

(ChunkerEvaluator) Sentence #255 from 00101579 from sent11

Text  : Poseł Józef Piotr Klim :
Tokens: 1____ 2____ 3____ 4___ 5

Chunks:
  TruePositive nam [2,4] = Józef Piotr Klim (confidence=0.97)

(ChunkerEvaluator) Sentence #256 from 00101579 from sent12

Text  : Panie Marszałku !
Tokens: 1____ 2________ 3

Chunks:

(ChunkerEvaluator) Sentence #257 from 00101579 from sent13

Text  : Wysoki Sejmie !
Tokens: 1_____ 2_____ 3

Chunks:
  TruePositive nam [2,2] = Sejmie (confidence=0.99)

(ChunkerEvaluator) Sentence #258 from 00101579 from sent14

Text  : Panie Ministrze !
Tokens: 1____ 2________ 3

Chunks:

(ChunkerEvaluator) Sentence #259 from 00101579 from sent15

Text  : Wielokrotnie tutaj , w Sejmie , dyskutowali śmy o problemach budowy polskich dróg ._
Tokens: 1___________ 2____ 3 4 5_____ 6 7__________ 8__ 9 10________ 11____ 12______ 13__ 14

Chunks:
  TruePositive nam [5,5] = Sejmie (confidence=1.00)

(ChunkerEvaluator) Sentence #260 from 00101579 from sent16

Text  : Budowa polskich dróg staje się polską racją stanu i chciał by m_ zwrócić uwagę na taką podlaską rację stanu ,_ na drogę S8 ,_ która w_ naszym województwie odgrywa istotną rolę ._
Tokens: 1_____ 2_______ 3___ 4____ 5__ 6_____ 7____ 8____ 9 10____ 11 12 13_____ 14___ 15 16__ 17______ 18___ 19___ 20 21 22___ 23 24 25___ 26 27____ 28__________ 29_____ 30_____ 31__ 32

Chunks:
  TruePositive nam [23,23] = S8 (confidence=0.99)

(ChunkerEvaluator) Sentence #261 from 00101579 from sent17

Text  : Jest ona w jakiś sposób takim komunikacyjnym otwarciem na świat ,_ pewnym instrumentem ,_ dźwignią rozwoju ._
Tokens: 1___ 2__ 3 4____ 5_____ 6____ 7_____________ 8________ 9_ 10___ 11 12____ 13__________ 14 15______ 16_____ 17

Chunks:

(ChunkerEvaluator) Sentence #262 from 00101579 from sent18

Text  : Jest ważna z punktu widzenia bezpieczeństwa mieszkańców , jak również jest istotna dla całego województwa ,_ a_ szczególnie dla półmilionowej aglomeracji białostockiej ._
Tokens: 1___ 2____ 3 4_____ 5_______ 6_____________ 7__________ 8 9__ 10_____ 11__ 12_____ 13_ 14____ 15_________ 16 17 18_________ 19_ 20___________ 21_________ 22___________ 23

Chunks:

(ChunkerEvaluator) Sentence #263 from 00101579 from sent19

Text  : Droga na odcinku Warszawa – Białystok jest bardzo istotna ,_ co rusz oczywiście usiana miejscami wypadków ,_ często tragicznych ._
Tokens: 1____ 2_ 3______ 4_______ 5 6________ 7___ 8_____ 9______ 10 11 12__ 13________ 14____ 15_______ 16______ 17 18____ 19_________ 20

Chunks:
  FalsePositive nam [4,6] = Warszawa – Białystok (confidence=1.00) (incorrect boundry)
  FalseNegative nam [4,4] = Warszawa
  FalseNegative nam [6,6] = Białystok

(ChunkerEvaluator) Sentence #264 from 00101579 from sent20

Text  : W związku z tym tempo budowy tej drogi dla naszych mieszkańców jest bardzo ważne ._
Tokens: 1 2______ 3 4__ 5____ 6_____ 7__ 8____ 9__ 10_____ 11_________ 12__ 13____ 14___ 15

Chunks:

(ChunkerEvaluator) Sentence #265 from 00101579 from sent21

Text  : Ale chodzi nie tylko o to , ponieważ ta droga wiąże się przecież wręcz z_ ciągami tirów ,_ bo to jest transport ,_ bo to jest ruch tranzytowy ._
Tokens: 1__ 2_____ 3__ 4____ 5 6_ 7 8_______ 9_ 10___ 11___ 12_ 13______ 14___ 15 16_____ 17___ 18 19 20 21__ 22_______ 23 24 25 26__ 27__ 28________ 29

Chunks:

(ChunkerEvaluator) Sentence #266 from 00101579 from sent22

Text  : Bardzo często jest to oczywiście droga o charakterze turystycznym ,_ jest to też droga w_ tunelu transportowym wschód –_ zachód ._
Tokens: 1_____ 2_____ 3___ 4_ 5_________ 6____ 7 8__________ 9___________ 10 11__ 12 13_ 14___ 15 16____ 17___________ 18____ 19 20____ 21

Chunks:

(ChunkerEvaluator) Sentence #267 from 00101579 from sent23

Text  : Panie ministrze , chciał by m , żeby pan przedstawił istotne elementy tego harmonogramu ,_ tzn ._ co ,_ kiedy będzie budowane ,_ chodzi o_ np ._ obwodnicę Zambrowa ,_ o_ to ,_ kiedy rozpocznie się budowa tej drogi również od strony Białegostoku ._
Tokens: 1____ 2________ 3 4_____ 5_ 6 7 8___ 9__ 10_________ 11_____ 12______ 13__ 14__________ 15 16_ 17 18 19 20___ 21____ 22______ 23 24____ 25 26 27 28_______ 29______ 30 31 32 33 34___ 35________ 36_ 37____ 38_ 39___ 40_____ 41 42____ 43__________ 44

Chunks:
  TruePositive nam [29,29] = Zambrowa (confidence=0.99)
  TruePositive nam [43,43] = Białegostoku (confidence=1.00)

(ChunkerEvaluator) Sentence #268 from 00101579 from sent24

Text  : Mieszkańcy Białegostoku czekają na tego typu już rozpoczęcie budowy ._
Tokens: 1_________ 2___________ 3______ 4_ 5___ 6___ 7__ 8__________ 9_____ 10

Chunks:
  TruePositive nam [2,2] = Białegostoku (confidence=0.86)

(ChunkerEvaluator) Sentence #269 from 00101579 from sent25

Text  : Będziemy wdzięczni , jeśli ten harmonogram pokaże jak największe przyspieszenie budowy tej drogi ekspresowej na odcinku Białystok –_ Warszawa ._
Tokens: 1_______ 2________ 3 4____ 5__ 6__________ 7_____ 8__ 9_________ 10____________ 11____ 12_ 13___ 14_________ 15 16_____ 17_______ 18 19______ 20

Chunks:
  TruePositive nam [17,17] = Białystok (confidence=0.99)
  TruePositive nam [19,19] = Warszawa (confidence=0.98)

(ChunkerEvaluator) Sentence #270 from 00101579 from sent26

Text  : Dziękuję .
Tokens: 1_______ 2

Chunks:

(ChunkerEvaluator) Sentence #271 from 00101579 from sent27

Text  : Wicemarszałek Jerzy Szmajdziński :
Tokens: 1____________ 2____ 3___________ 4

Chunks:
  TruePositive nam [2,3] = Jerzy Szmajdziński (confidence=1.00)

(ChunkerEvaluator) Sentence #272 from 00101579 from sent28

Text  : Dziękuję bardzo .
Tokens: 1_______ 2_____ 3

Chunks:

2017-06-14 20:06:31,825 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 23 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101598.xml
(ChunkerEvaluator) Sentence #273 from 00101598 from sent1

Text  : Nie powinien em być tchórzem i napisać o Myersie ._
Tokens: 1__ 2_______ 3_ 4__ 5_______ 6 7______ 8 9______ 10

Chunks:
  TruePositive nam [9,9] = Myersie (confidence=1.00)

(ChunkerEvaluator) Sentence #274 from 00101598 from sent2

Text  : Wiek XIX .
Tokens: 1___ 2__ 3

Chunks:
  FalsePositive nam [1,2] = Wiek XIX (confidence=0.57) (incorrect boundry)

(ChunkerEvaluator) Sentence #275 from 00101598 from sent3

Text  : stulecie nadziei nadludzkich i wiar poronionych .
Tokens: 1_______ 2______ 3__________ 4 5___ 6__________ 7

Chunks:

(ChunkerEvaluator) Sentence #276 from 00101598 from sent4

Text  : Nie umiemy żyć jeszcze po oswojeniu się z faktami ,_ że tak jest ,_ że niema żadnego sposobu ,_ by życie ludzkie stało się czemś innem ,_ niż życie ._
Tokens: 1__ 2_____ 3__ 4______ 5_ 6________ 7__ 8 9______ 10 11 12_ 13__ 14 15 16___ 17_____ 18_____ 19 20 21___ 22_____ 23___ 24_ 25___ 26___ 27 28_ 29___ 30

Chunks:

(ChunkerEvaluator) Sentence #277 from 00101598 from sent5

Text  : W tym wieku nie umiano myśleć o życzeniach jako nie dających się urzeczywistnić ._
Tokens: 1 2__ 3____ 4__ 5_____ 6_____ 7 8_________ 9___ 10_ 11______ 12_ 13____________ 14

Chunks:

(ChunkerEvaluator) Sentence #278 from 00101598 from sent6

Text  : Mieć odwagę , to znaczyło wierzyć , że każde życzenie jest do urzeczywistnienia ._
Tokens: 1___ 2_____ 3 4_ 5_______ 6______ 7 8_ 9____ 10______ 11__ 12 13_______________ 14

Chunks:

(ChunkerEvaluator) Sentence #279 from 00101598 from sent7

Text  : Znaczyło to stworzyć system racyonalnej nadziei dla każdego życzenia ._
Tokens: 1_______ 2_ 3_______ 4_____ 5__________ 6______ 7__ 8______ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #280 from 00101598 from sent8

Text  : Być rozczarowanym to znaczyło nie wierzyć w żaden z tych systematów ,_ to znaczyło widzieć tylko spalenisko tych wmówień usiłujących przekonać ,_ że człowiek może być czemkolwiekbądź zechce ,_ bez ograniczeń ._
Tokens: 1__ 2____________ 3_ 4_______ 5__ 6______ 7 8____ 9 10__ 11________ 12 13 14______ 15_____ 16___ 17________ 18__ 19_____ 20_________ 21_______ 22 23 24______ 25__ 26_ 27_____________ 28____ 29 30_ 31________ 32

Chunks:

(ChunkerEvaluator) Sentence #281 from 00101598 from sent9

Text  : Dzisiaj jest trudno wywlec duszę z wszystkich tych subtelnych ścieżek i_ powikłań błędu ._
Tokens: 1______ 2___ 3_____ 4_____ 5____ 6 7_________ 8___ 9_________ 10_____ 11 12______ 13___ 14

Chunks:

(ChunkerEvaluator) Sentence #282 from 00101598 from sent10

Text  : To , co jest najelementarniejsze , staje się dostępnem jedynie jako szczyt sztuczności ._
Tokens: 1_ 2 3_ 4___ 5__________________ 6 7____ 8__ 9________ 10_____ 11__ 12____ 13_________ 14

Chunks:

(ChunkerEvaluator) Sentence #283 from 00101598 from sent11

Text  : Szemat tymczasowy : od XVI stulecia jest już pewne ,_ że człowiek ,_ o_ ile jest on reprezentowany przez europejski Zachód ,_ wyszedł poza granicę ,_ obręb wszelkich dotychczasowych form ._
Tokens: 1_____ 2_________ 3 4_ 5__ 6_______ 7___ 8__ 9____ 10 11 12______ 13 14 15_ 16__ 17 18____________ 19___ 20________ 21____ 22 23_____ 24__ 25_____ 26 27___ 28_______ 29_____________ 30__ 31

Chunks:
  FalsePositive nam [20,21] = europejski Zachód (confidence=0.73) (incorrect boundry)
  FalseNegative nam [21,21] = Zachód

(ChunkerEvaluator) Sentence #284 from 00101598 from sent12

Text  : Na razie przynajmniej u pewnych natur przemaga uczucie tryumfalnego lub rzecz rzadka :_ i_ drogocenniejszego –_ zdrowego t_ ._ j_ ._ obywającego się bez chorób (_ ?_ )_ a_ podniecającego i_ podnoszącego duszę aż na szczyt radości –_ oczekiwania ._
Tokens: 1_ 2____ 3___________ 4 5______ 6____ 7_______ 8______ 9___________ 10_ 11___ 12____ 13 14 15_______________ 16 17______ 18 19 20 21 22_________ 23_ 24_ 25____ 26 27 28 29 30____________ 31 32__________ 33___ 34 35 36____ 37_____ 38 39_________ 40

Chunks:

(ChunkerEvaluator) Sentence #285 from 00101598 from sent13

Text  : Szekspir in idea .
Tokens: 1_______ 2_ 3___ 4

Chunks:
  FalseNegative nam [1,1] = Szekspir

(ChunkerEvaluator) Sentence #286 from 00101598 from sent14

Text  : U innych przemagają międzycząstkowe pierwiastki oczekiwania , interesy są ześrodkowane na pewnej dziedzinie ,_ wtedy daje się to pogodzić z_ przywiązaniem do pewnych określonych form ._
Tokens: 1 2_____ 3_________ 4______________ 5__________ 6__________ 7 8_______ 9_ 10__________ 11 12____ 13________ 14 15___ 16__ 17_ 18 19______ 20 21___________ 22 23_____ 24_________ 25__ 26

Chunks:

(ChunkerEvaluator) Sentence #287 from 00101598 from sent15

Text  : Wreszcie bywają wypadki , gdy przeważa poczucie zguby istniejącego ._
Tokens: 1_______ 2_____ 3______ 4 5__ 6_______ 7_______ 8____ 9___________ 10

Chunks:

(ChunkerEvaluator) Sentence #288 from 00101598 from sent16

Text  : Machiavelli z pewnych punktów najtragiczniejszy : – niemożność brania udziału w_ tem nowem życiu ._
Tokens: 1__________ 2 3______ 4______ 5________________ 6 7 8_________ 9_____ 10_____ 11 12_ 13___ 14___ 15

Chunks:
  FalseNegative nam [1,1] = Machiavelli

(ChunkerEvaluator) Sentence #289 from 00101598 from sent17

Text  : Co tak wzniosło Anglię : wiara w dokonane organicznie odrodzenie zbiorowe (_ reformacya )_ –_ (_ bez przeciwieństwa na razie z_ innymi faktami ,_ przeciwnie :_ jako jedno i_ to samo )_ ._
Tokens: 1_ 2__ 3_______ 4_____ 5 6____ 7 8_______ 9__________ 10________ 11______ 12 13________ 14 15 16 17_ 18____________ 19 20___ 21 22____ 23_____ 24 25________ 26 27__ 28___ 29 30 31__ 32 33

Chunks:
  TruePositive nam [4,4] = Anglię (confidence=0.89)

(ChunkerEvaluator) Sentence #290 from 00101598 from sent18

Text  : Zawsze ulubieńcy dziejów , dalej typy ( ? ) ,_ gdy już rozdwojenie i_ rozdarcie wystąpiły silnie –_ życie stało się ciekawe ,_ pełne intelektualnych rozkoszy i_ niebezpieczne (_ modlitwa czy prośba do przypadku Lionarda )_ ._
Tokens: 1_____ 2________ 3______ 4 5____ 6___ 7 8 9 10 11_ 12_ 13_________ 14 15_______ 16_______ 17____ 18 19___ 20___ 21_ 22_____ 23 24___ 25_____________ 26______ 27 28___________ 29 30______ 31_ 32____ 33 34_______ 35______ 36 37

Chunks:
  TruePositive nam [35,35] = Lionarda (confidence=0.93)

(ChunkerEvaluator) Sentence #291 from 00101598 from sent19

Text  : Niebezpieczeństwo nietylko zewnętrzne , lecz i moralne ; tragiczna dusza Michała Anioła –_ nie bądź tchórzem ,_ napisz ,_ co o_ nim myślisz ,_ za podstawę biorąc tylko literaturę ,_ poezye ,_ listy ._
Tokens: 1________________ 2_______ 3_________ 4 5___ 6 7______ 8 9________ 10___ 11_____ 12____ 13 14_ 15__ 16______ 17 18____ 19 20 21 22_ 23_____ 24 25 26______ 27____ 28___ 29________ 30 31____ 32 33___ 34

Chunks:
  TruePositive nam [11,12] = Michała Anioła (confidence=1.00)

(ChunkerEvaluator) Sentence #292 from 00101598 from sent20

Text  : W tem niebezpieczeństwie ci , co nie mają moralnej jego natury a_ są uzbrojeni wobec zewnętrznych ._
Tokens: 1 2__ 3_________________ 4_ 5 6_ 7__ 8___ 9_______ 10__ 11____ 12 13 14_______ 15___ 16__________ 17

Chunks:

(ChunkerEvaluator) Sentence #293 from 00101598 from sent21

Text  : Benvenuto Cellini – niezrównany , awanturnicy , którzy już mają w_ sobie romantyzm –_ nadzieję ,_ chimerę –_ Campanella ;_ Bruno ,_ porównaj z_ Piki ’_ em (_ nie wiem ,_ jak wypadnie ,_ źle ,_ słabo z_ czwartej ręki znam Pica )_ ._
Tokens: 1________ 2______ 3 4__________ 5 6__________ 7 8_____ 9__ 10__ 11 12___ 13_______ 14 15______ 16 17_____ 18 19________ 20 21___ 22 23______ 24 25__ 26 27 28 29_ 30__ 31 32_ 33______ 34 35_ 36 37___ 38 39______ 40__ 41__ 42__ 43 44

Chunks:
  TruePositive nam [1,2] = Benvenuto Cellini (confidence=1.00)
  TruePositive nam [19,19] = Campanella (confidence=0.99)
  TruePositive nam [21,21] = Bruno (confidence=0.98)
  TruePositive nam [25,27] = Piki ’ em (confidence=1.00)
  TruePositive nam [42,42] = Pica (confidence=0.97)

(ChunkerEvaluator) Sentence #294 from 00101598 from sent22

Text  : Wreszcie Galileusz – nauka zostaje wywikłana z awanturniczej przedsiębiorczości –_ to różnica między Galileuszem a_ Baconem ._
Tokens: 1_______ 2________ 3 4____ 5______ 6________ 7 8____________ 9_________________ 10 11 12_____ 13____ 14_________ 15 16_____ 17

Chunks:
  TruePositive nam [2,2] = Galileusz (confidence=0.96)
  TruePositive nam [14,14] = Galileuszem (confidence=0.99)
  TruePositive nam [16,16] = Baconem (confidence=0.99)

(ChunkerEvaluator) Sentence #295 from 00101598 from sent23

Text  : Zwolna wyrasta świat stały coraz bardziej określony .
Tokens: 1_____ 2______ 3____ 4____ 5____ 6_______ 7________ 8

Chunks:
  FalsePositive nam [1,1] = Zwolna (confidence=0.68) (incorrect boundry)

(ChunkerEvaluator) Sentence #296 from 00101598 from sent24

Text  : Wiek XVII . – porządek państwowy staje się warunkiem ,_ wśród którego myśl musi istnieć ._
Tokens: 1___ 2___ 3 4 5_______ 6________ 7____ 8__ 9________ 10 11___ 12_____ 13__ 14__ 15_____ 16

Chunks:
  FalsePositive nam [1,2] = Wiek XVII (confidence=0.49) (incorrect boundry)

(ChunkerEvaluator) Sentence #297 from 00101598 from sent25

Text  : Różne formacye – Kartezyusz , Hobbes , Spinoza , w_ formie organicznej wiek Ludwika XIV ,_ wielki wiek Francyi :_ Trzeba dalej snuć tę analizę ,_ ale dziś już przestaje ona mnie bezpośrednio ożywiać a_ tu zapisuję myśli tylko sub specie poruszenia duchowego ,_ nie jako materyał erudycyi ._
Tokens: 1____ 2_______ 3 4_________ 5 6_____ 7 8______ 9 10 11____ 12_________ 13__ 14_____ 15_ 16 17____ 18__ 19_____ 20 21____ 22___ 23__ 24 25_____ 26 27_ 28__ 29_ 30_______ 31_ 32__ 33__________ 34_____ 35 36 37______ 38___ 39___ 40_ 41____ 42________ 43_______ 44 45_ 46__ 47______ 48______ 49

Chunks:
  TruePositive nam [4,4] = Kartezyusz (confidence=1.00)
  TruePositive nam [6,6] = Hobbes (confidence=1.00)
  TruePositive nam [8,8] = Spinoza (confidence=1.00)
  TruePositive nam [14,15] = Ludwika XIV (confidence=1.00)
  TruePositive nam [19,19] = Francyi (confidence=1.00)

2017-06-14 20:06:31,962 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 24 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101603.xml
(ChunkerEvaluator) Sentence #298 from 00101603 from sent1

Text  : Zza dymu i płomieni widać było na ścianie kontyny coś niewyraźnego ,_ podnoszącego się wysoko ,_ aż pod strop i_ dach ._
Tokens: 1__ 2___ 3 4_______ 5____ 6___ 7_ 8______ 9______ 10_ 11__________ 12 13__________ 14_ 15____ 16 17 18_ 19___ 20 21__ 22

Chunks:

(ChunkerEvaluator) Sentence #299 from 00101603 from sent2

Text  : Była to czarna , okopcona postać dziwna , nieforemna ,_ straszna ,_ u_ której nóg kilka trupich białych czaszek leżało ._
Tokens: 1___ 2_ 3_____ 4 5_______ 6_____ 7_____ 8 9_________ 10 11______ 12 13 14____ 15_ 16___ 17_____ 18_____ 19_____ 20____ 21

Chunks:

(ChunkerEvaluator) Sentence #300 from 00101603 from sent3

Text  : Obok niej wisiały haki , oręż , noże , jakieś zdobyte łupy ,_ a_ sam posąg obwieszony był cały niemal sznurami bursztynu i_ kraśnych kulek ponizanych na nici ._
Tokens: 1___ 2___ 3______ 4___ 5 6___ 7 8___ 9 10____ 11_____ 12__ 13 14 15_ 16___ 17________ 18_ 19__ 20____ 21______ 22_______ 23 24______ 25___ 26________ 27 28__ 29

Chunks:

(ChunkerEvaluator) Sentence #301 from 00101603 from sent4

Text  : U góry , w głowie potwornej , dwoje oczów ,_ dwa świecące ,_ ogromne kamienie czerwone ,_ jakby krwią gorejące ,_ pałały ._
Tokens: 1 2___ 3 4 5_____ 6________ 7 8____ 9____ 10 11_ 12______ 13 14_____ 15______ 16______ 17 18___ 19___ 20______ 21 22____ 23

Chunks:

(ChunkerEvaluator) Sentence #302 from 00101603 from sent5

Text  : Nie widać tam było nic , tylko tych oczów płomienistych dwoje ,_ od których skryć się nigdzie nie było można Patrzały na wszystkie strony ,_ odbijał się w_ nich ogień u_ stóp palący ,_ migotał w_ czerwonych kamieniach i_ czynił je jakby żywymi ._
Tokens: 1__ 2____ 3__ 4___ 5__ 6 7____ 8___ 9____ 10___________ 11___ 12 13 14_____ 15___ 16_ 17_____ 18_ 19__ 20___ 21______ 22 23_______ 24____ 25 26_____ 27_ 28 29__ 30___ 31 32__ 33____ 34 35_____ 36 37________ 38________ 39 40____ 41 42___ 43____ 44

Chunks:

(ChunkerEvaluator) Sentence #303 from 00101603 from sent6

Text  : Wśród ciemności te drganiem płomienia ruszające się oczy bóstwa przerażały jak spojrzenie ze światów innych ,_ groźne i_ gniewu pełne ._
Tokens: 1____ 2________ 3_ 4_______ 5________ 6________ 7__ 8___ 9_____ 10________ 11_ 12________ 13 14_____ 15____ 16 17____ 18 19____ 20___ 21

Chunks:

(ChunkerEvaluator) Sentence #304 from 00101603 from sent7

Text  : W chramie teraz nic słychać nie było , tylko trzask palącego się łuczywa i_ świergot ptastwa ,_ które ,_ otworami dostawszy się do środka jego ,_ niespokojnie pokrzykiwało latając ,_ aby się stąd na powrót wydobyć ._
Tokens: 1 2______ 3____ 4__ 5______ 6__ 7___ 8 9____ 10____ 11______ 12_ 13_____ 14 15______ 16_____ 17 18___ 19 20______ 21_______ 22_ 23 24____ 25__ 26 27__________ 28__________ 29_____ 30 31_ 32_ 33__ 34 35____ 36_____ 37

Chunks:

(ChunkerEvaluator) Sentence #305 from 00101603 from sent8

Text  : Dziwa postawszy chwilę , bo w niej czerwonych oczów dwoje zrodziły trwogę i_ odjęły siłę ,_ wolnym krokiem podeszła ku ognisku myśląc :_
Tokens: 1____ 2________ 3_____ 4 5_ 6 7___ 8_________ 9____ 10___ 11______ 12____ 13 14____ 15__ 16 17____ 18_____ 19______ 20 21_____ 22____ 23

Chunks:
  FalseNegative nam [1,1] = Dziwa

(ChunkerEvaluator) Sentence #306 from 00101603 from sent9

Text  : - Tu więc miejsce moje .
Tokens: 1 2_ 3___ 4______ 5___ 6

Chunks:

(ChunkerEvaluator) Sentence #307 from 00101603 from sent10

Text  : I nie pytając już nikogo , nie patrząc zbliżyła się aż do dwóch siedzących niewiast ,_ co ogień podsycały ,_ siadła ,_ jak one ,_ na pustym kamieniu ,_ wzięła nagotowane łuczywo i_ położyła na ognisku ._
Tokens: 1 2__ 3______ 4__ 5_____ 6 7__ 8______ 9_______ 10_ 11 12 13___ 14________ 15______ 16 17 18___ 19_______ 20 21____ 22 23_ 24_ 25 26 27____ 28______ 29 30____ 31________ 32_____ 33 34______ 35 36_____ 37

Chunks:

(ChunkerEvaluator) Sentence #308 from 00101603 from sent11

Text  : Jedna z kobiet wstrzymać ją chciała , lecz za późno się podniosła ._
Tokens: 1____ 2 3_____ 4________ 5_ 6______ 7 8___ 9_ 10___ 11_ 12_______ 13

Chunks:

(ChunkerEvaluator) Sentence #309 from 00101603 from sent12

Text  : Ogień już był objął tę pierwszą ofiarę , na którą Dziwa patrzała ,_ jakby się w_ niej własne paliło życie ._
Tokens: 1____ 2__ 3__ 4____ 5_ 6_______ 7_____ 8 9_ 10___ 11___ 12______ 13 14___ 15_ 16 17__ 18____ 19____ 20___ 21

Chunks:
  FalseNegative nam [11,11] = Dziwa

(ChunkerEvaluator) Sentence #310 from 00101603 from sent13

Text  : Dwie stróżki tego Znicza popatrzały na nią ciekawie i trochę przelękłe ._
Tokens: 1___ 2______ 3___ 4_____ 5_________ 6_ 7__ 8_______ 9 10____ 11_______ 12

Chunks:
  FalsePositive nam [4,4] = Znicza (confidence=0.63) (incorrect boundry)

(ChunkerEvaluator) Sentence #311 from 00101603 from sent14

Text  : Przy świetle ognia mogła dojrzeć ich twarze .
Tokens: 1___ 2______ 3____ 4____ 5______ 6__ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #312 from 00101603 from sent15

Text  : Zwiędłe były , smutne i blade .
Tokens: 1______ 2___ 3 4_____ 5 6____ 7

Chunks:

(ChunkerEvaluator) Sentence #313 from 00101603 from sent16

Text  : Przyglądając się pięknej dziewczynie szeptały coś pomiędzy sobą , jakby litując się nad nią ._
Tokens: 1___________ 2__ 3______ 4__________ 5_______ 6__ 7_______ 8___ 9 10___ 11_____ 12_ 13_ 14_ 15

Chunks:

(ChunkerEvaluator) Sentence #314 from 00101603 from sent17

Text  : Głowami potrząsały tylko , nie śmiejąc się odezwać .
Tokens: 1______ 2_________ 3____ 4 5__ 6______ 7__ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #315 from 00101603 from sent18

Text  : Zdawały się patrzeć na nią jak na skazaną .
Tokens: 1______ 2__ 3______ 4_ 5__ 6__ 7_ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #316 from 00101603 from sent19

Text  : Dziwa siedziała spokojna w ogień wlepiwszy oczy , odpoczywała ._
Tokens: 1____ 2________ 3_______ 4 5____ 6________ 7___ 8 9__________ 10

Chunks:
  FalseNegative nam [1,1] = Dziwa

2017-06-14 20:06:32,059 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 25 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101639.xml
(ChunkerEvaluator) Sentence #317 from 00101639 from sent1

Text  : Wicemarszałek Krzysztof Putra :
Tokens: 1____________ 2________ 3____ 4

Chunks:
  TruePositive nam [2,3] = Krzysztof Putra (confidence=1.00)

(ChunkerEvaluator) Sentence #318 from 00101639 from sent2

Text  : Dziękuję bardzo panu posłowi .
Tokens: 1_______ 2_____ 3___ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #319 from 00101639 from sent3

Text  : Zamykam dyskusję .
Tokens: 1______ 2_______ 3

Chunks:

(ChunkerEvaluator) Sentence #320 from 00101639 from sent4

Text  : W dyskusji zgłoszono wniosek o odrzucenie projektu ustawy w pierwszym czytaniu ._
Tokens: 1 2_______ 3________ 4______ 5 6_________ 7_______ 8_____ 9 10_______ 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #321 from 00101639 from sent5

Text  : Do głosowania nad tym wnioskiem przystąpimy w bloku głosowań ._
Tokens: 1_ 2_________ 3__ 4__ 5________ 6__________ 7 8____ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #322 from 00101639 from sent6

Text  : Na tym zakończyli śmy rozpatrywanie punktów porządku dziennego zaplanowanych na dzień 26 marca ._
Tokens: 1_ 2__ 3_________ 4__ 5____________ 6______ 7_______ 8________ 9____________ 10 11___ 12 13___ 14

Chunks:

(ChunkerEvaluator) Sentence #323 from 00101639 from sent7

Text  : Wprawdzie kończymy już 27 marca .
Tokens: 1________ 2_______ 3__ 4_ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #324 from 00101639 from sent8

Text  : Informuję , że zgłosili się posłowie w celu wygłoszenia oświadczeń poselskich ._
Tokens: 1________ 2 3_ 4_______ 5__ 6_______ 7 8___ 9__________ 10________ 11________ 12

Chunks:

(ChunkerEvaluator) Sentence #325 from 00101639 from sent9

Text  : Czy ktoś z pań i panów posłów pragnie jeszcze wygłosić oświadczenie ?_
Tokens: 1__ 2___ 3 4__ 5 6____ 7_____ 8______ 9______ 10______ 11__________ 12

Chunks:

(ChunkerEvaluator) Sentence #326 from 00101639 from sent10

Text  : Nikt nie zgłasza się .
Tokens: 1___ 2__ 3______ 4__ 5

Chunks:

(ChunkerEvaluator) Sentence #327 from 00101639 from sent11

Text  : Listę posłów zgłoszonych do oświadczeń uważam za zamkniętą .
Tokens: 1____ 2_____ 3__________ 4_ 5_________ 6_____ 7_ 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #328 from 00101639 from sent12

Text  : Bardzo proszę o zabranie głosu pana posła Czesława Hoca ,_ Prawo i_ Sprawiedliwość ._
Tokens: 1_____ 2_____ 3 4_______ 5____ 6___ 7____ 8_______ 9___ 10 11___ 12 13____________ 14

Chunks:
  TruePositive nam [8,9] = Czesława Hoca (confidence=1.00)
  TruePositive nam [11,13] = Prawo i Sprawiedliwość (confidence=1.00)

(ChunkerEvaluator) Sentence #329 from 00101639 from sent13

Text  : Przygotuje się pan poseł Łukasz Zbonikowski .
Tokens: 1_________ 2__ 3__ 4____ 5_____ 6__________ 7

Chunks:
  TruePositive nam [5,6] = Łukasz Zbonikowski (confidence=1.00)

(ChunkerEvaluator) Sentence #330 from 00101639 from sent14

Text  : Poseł Czesław Hoc :
Tokens: 1____ 2______ 3__ 4

Chunks:
  TruePositive nam [2,3] = Czesław Hoc (confidence=1.00)

(ChunkerEvaluator) Sentence #331 from 00101639 from sent15

Text  : Panie Marszałku !
Tokens: 1____ 2________ 3

Chunks:

(ChunkerEvaluator) Sentence #332 from 00101639 from sent16

Text  : Wysoka Izbo !
Tokens: 1_____ 2___ 3

Chunks:

(ChunkerEvaluator) Sentence #333 from 00101639 from sent17

Text  : List otwarty do rybaków , administracji rybołówstwa i środowiska naukowego ._
Tokens: 1___ 2______ 3_ 4______ 5 6____________ 7__________ 8 9_________ 10_______ 11

Chunks:

(ChunkerEvaluator) Sentence #334 from 00101639 from sent18

Text  : Polskie rybołówstwo bałtyckie jest w poważnym kryzysie .
Tokens: 1______ 2__________ 3________ 4___ 5 6_______ 7_______ 8

Chunks:

(ChunkerEvaluator) Sentence #335 from 00101639 from sent19

Text  : Już wkrótce może dojść do nieodwracalnych przemian , które mogą doprowadzić do całkowitej zapaści polskiego rybołówstwa ,_ niegdyś potęgi światowej ._
Tokens: 1__ 2______ 3___ 4____ 5_ 6______________ 7_______ 8 9____ 10__ 11_________ 12 13________ 14_____ 15_______ 16_________ 17 18_____ 19____ 20_______ 21

Chunks:

(ChunkerEvaluator) Sentence #336 from 00101639 from sent20

Text  : Można pokusić się o przyczyny tego wielce niepokojącego zjawiska ._
Tokens: 1____ 2______ 3__ 4 5________ 6___ 7_____ 8____________ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #337 from 00101639 from sent21

Text  : Na pewno są one złożone i różnie akcentowane w stosunku do środowiska rybaków i_ ich wielu organizacji ,_ do rządu z_ administracją rybacką oraz do środowisk naukowych ,_ głównie MIR ,_ jak również oficjalnych ciał doradczych ._
Tokens: 1_ 2____ 3_ 4__ 5______ 6 7_____ 8__________ 9 10______ 11 12________ 13_____ 14 15_ 16___ 17_________ 18 19 20___ 21 22___________ 23_____ 24__ 25 26_______ 27_______ 28 29_____ 30_ 31 32_ 33_____ 34_________ 35__ 36________ 37

Chunks:
  TruePositive nam [30,30] = MIR (confidence=0.99)

(ChunkerEvaluator) Sentence #338 from 00101639 from sent22

Text  : Należało by zacząć od Międzynarodowej Komisji Rybołówstwa Morza Bałtyckiego ,_ następnie Międzynarodowej Rady Badań Morza ,_ przed i_ po akcesji Polski do Unii ,_ pewnej historycznej fikcji i_ jej utrwalania ,_ nieco zmodyfikowanej po wejściu polskiego rybołówstwa do UE ._
Tokens: 1_______ 2_ 3_____ 4_ 5______________ 6______ 7__________ 8____ 9__________ 10 11_______ 12_____________ 13__ 14___ 15___ 16 17___ 18 19 20_____ 21____ 22 23__ 24 25____ 26__________ 27____ 28 29_ 30________ 31 32___ 33____________ 34 35_____ 36_______ 37_________ 38 39 40

Chunks:
  TruePositive nam [5,9] = Międzynarodowej Komisji Rybołówstwa Morza Bałtyckiego (confidence=0.99)
  TruePositive nam [12,15] = Międzynarodowej Rady Badań Morza (confidence=1.00)
  TruePositive nam [21,21] = Polski (confidence=1.00)
  TruePositive nam [23,23] = Unii (confidence=0.95)
  TruePositive nam [39,39] = UE (confidence=1.00)

(ChunkerEvaluator) Sentence #339 from 00101639 from sent23

Text  : Ten mechanizm już nie mógł dalej funkcjonować .
Tokens: 1__ 2________ 3__ 4__ 5___ 6____ 7___________ 8

Chunks:

(ChunkerEvaluator) Sentence #340 from 00101639 from sent24

Text  : Doszedł do tego również interes poszczególnych państw skupionych w Unii ._
Tokens: 1______ 2_ 3___ 4______ 5______ 6_____________ 7_____ 8_________ 9 10__ 11

Chunks:
  TruePositive nam [10,10] = Unii (confidence=0.99)

(ChunkerEvaluator) Sentence #341 from 00101639 from sent25

Text  : Okazało się , że polskie rybołówstwo w zderzeniu z potężną i_ bezduszną biurokracją Komisji Europejskiej nie daje sobie rady ._
Tokens: 1______ 2__ 3 4_ 5______ 6__________ 7 8________ 9 10_____ 11 12_______ 13_________ 14_____ 15__________ 16_ 17__ 18___ 19__ 20

Chunks:
  TruePositive nam [14,15] = Komisji Europejskiej (confidence=1.00)

(ChunkerEvaluator) Sentence #342 from 00101639 from sent26

Text  : Nie zadziałały mechanizmy obronne systemu , bo ich nie stworzono ._
Tokens: 1__ 2_________ 3_________ 4______ 5______ 6 7_ 8__ 9__ 10_______ 11

Chunks:

(ChunkerEvaluator) Sentence #343 from 00101639 from sent27

Text  : Nie mogło ich być , bo nie było poszczególnych ogniw ,_ szczególnie najważniejszego –_ integracji i_ spójności polskich organizacji rybackich ._
Tokens: 1__ 2____ 3__ 4__ 5 6_ 7__ 8___ 9_____________ 10___ 11 12_________ 13_____________ 14 15________ 16 17_______ 18______ 19_________ 20_______ 21

Chunks:

(ChunkerEvaluator) Sentence #344 from 00101639 from sent28

Text  : Skrupulatnie i w sposób mało przyzwoity wykorzystała ten fakt bezduszna biurokracja Komisji Europejskiej oraz polska administracja państwowa ,_ powiedział by m_ –_ niekiedy bardziej ._
Tokens: 1___________ 2 3 4_____ 5___ 6_________ 7___________ 8__ 9___ 10_______ 11_________ 12_____ 13__________ 14__ 15____ 16___________ 17_______ 18 19________ 20 21 22 23______ 24______ 25

Chunks:
  TruePositive nam [12,13] = Komisji Europejskiej (confidence=1.00)

(ChunkerEvaluator) Sentence #345 from 00101639 from sent29

Text  : W sytuacji , gdy środowisko rybackie było dokładnie podzielone ,_ rząd dusz należał do administracji ._
Tokens: 1 2_______ 3 4__ 5_________ 6_______ 7___ 8________ 9_________ 10 11__ 12__ 13_____ 14 15___________ 16

Chunks:

(ChunkerEvaluator) Sentence #346 from 00101639 from sent30

Text  : Zastosowano starą , prostą , destrukcyjną i antysolidarnościową rzymską zasadę „_ divide et impera ”_ ,_ „_ dziel i_ rządź ”_ ,_ czyli najpierw skłóć ,_ a_ potem bądź wspaniałomyślnym władcą ._
Tokens: 1__________ 2____ 3 4_____ 5 6___________ 7 8__________________ 9______ 10____ 11 12____ 13 14____ 15 16 17 18___ 19 20___ 21 22 23___ 24______ 25___ 26 27 28___ 29__ 30______________ 31____ 32

Chunks:

(ChunkerEvaluator) Sentence #347 from 00101639 from sent31

Text  : Dla administracji był to swoisty samograj .
Tokens: 1__ 2____________ 3__ 4_ 5______ 6_______ 7

Chunks:

2017-06-14 20:06:32,171 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 26 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101792.xml
(ChunkerEvaluator) Sentence #348 from 00101792 from sent1

Text  : 27 listopada trzech lewicowych związkowców Richard Gallardo , Luis Hernández i_ Carlos Requena zostało zastrzelonych ._
Tokens: 1_ 2________ 3_____ 4_________ 5__________ 6______ 7_______ 8 9___ 10_______ 11 12____ 13_____ 14_____ 15___________ 16

Chunks:
  TruePositive nam [6,7] = Richard Gallardo (confidence=1.00)
  TruePositive nam [9,10] = Luis Hernández (confidence=1.00)
  TruePositive nam [12,13] = Carlos Requena (confidence=0.95)

(ChunkerEvaluator) Sentence #349 from 00101792 from sent2

Text  : Morderstwa dokonano kilka godzin po tym jak 400 pracowników firmy "_ Alpina "_ okupowało mleczarnię ._
Tokens: 1_________ 2_______ 3____ 4_____ 5_ 6__ 7__ 8__ 9__________ 10___ 11 12____ 13 14_______ 15________ 16

Chunks:
  TruePositive nam [12,12] = Alpina (confidence=0.99)

(ChunkerEvaluator) Sentence #350 from 00101792 from sent3

Text  : Policja brutalnie interweniowała .
Tokens: 1______ 2________ 3_____________ 4

Chunks:

(ChunkerEvaluator) Sentence #351 from 00101792 from sent4

Text  : Związkowcy byli członkami UNT ( Krajowy Związek Pracowników ) i_ socjalistycznej USI (_ Unidad Socialista de Izquierda )_ ._
Tokens: 1_________ 2___ 3________ 4__ 5 6______ 7______ 8__________ 9 10 11_____________ 12_ 13 14____ 15________ 16 17_______ 18 19

Chunks:
  TruePositive nam [4,4] = UNT (confidence=1.00)
  TruePositive nam [6,8] = Krajowy Związek Pracowników (confidence=0.88)
  TruePositive nam [12,12] = USI (confidence=0.97)
  TruePositive nam [14,17] = Unidad Socialista de Izquierda (confidence=1.00)

(ChunkerEvaluator) Sentence #352 from 00101792 from sent5

Text  : USI to lewicowa partia , która walczyła z Chavezem przeciw jego próbom kontrolowania pracowników ._
Tokens: 1__ 2_ 3_______ 4_____ 5 6____ 7_______ 8 9_______ 10_____ 11__ 12____ 13___________ 14_________ 15

Chunks:
  TruePositive nam [1,1] = USI (confidence=1.00)
  TruePositive nam [9,9] = Chavezem (confidence=0.98)

(ChunkerEvaluator) Sentence #353 from 00101792 from sent6

Text  : Grupa ta także wałczy z prawicą .
Tokens: 1____ 2_ 3____ 4_____ 5 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #354 from 00101792 from sent7

Text  : Być może związkowcy zostali zamordowani przez zabójców z kolumbijskiej firmy ,_ która jest właścicielem mleczarni ._
Tokens: 1__ 2___ 3_________ 4______ 5__________ 6____ 7_______ 8 9____________ 10___ 11 12___ 13__ 14__________ 15_______ 16

Chunks:

(ChunkerEvaluator) Sentence #355 from 00101792 from sent8

Text  : Także być może to była pro - Chavezowska policja lub ludzie związani z_ Zjednoczoną Partią Socjalistyczną ._
Tokens: 1____ 2__ 3___ 4_ 5___ 6__ 7 8__________ 9______ 10_ 11____ 12______ 13 14_________ 15____ 16____________ 17

Chunks:
  TruePositive nam [14,16] = Zjednoczoną Partią Socjalistyczną (confidence=1.00)

(ChunkerEvaluator) Sentence #356 from 00101792 from sent9

Text  : Na razie nie ma pełnej informacji , ale aktywiści UNT oraz USI krytykują tzw ._ "_ socjalizm "_ Chaveza ,_ gdzie w_ kraju pracownicy są brutalnie bici ,_ gdy podejmują wlkę przeciw wyzyskowi ._
Tokens: 1_ 2____ 3__ 4_ 5_____ 6_________ 7 8__ 9________ 10_ 11__ 12_ 13_______ 14_ 15 16 17_______ 18 19_____ 20 21___ 22 23___ 24________ 25 26_______ 27__ 28 29_ 30_______ 31__ 32_____ 33_______ 34

Chunks:
  TruePositive nam [10,10] = UNT (confidence=1.00)
  TruePositive nam [12,12] = USI (confidence=0.93)
  TruePositive nam [19,19] = Chaveza (confidence=0.73)

2017-06-14 20:06:32,209 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 27 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101875.xml
(ChunkerEvaluator) Sentence #357 from 00101875 from sent1

Text  : Zmiana zębatki w Rustlerze
Tokens: 1_____ 2______ 3 4________

Chunks:
  TruePositive nam [4,4] = Rustlerze (confidence=1.00)

(ChunkerEvaluator) Sentence #358 from 00101875 from sent2

Text  : W dziale Warsztat prezentujemy teoretyczne aspekty zmiany przełożenia .
Tokens: 1 2_____ 3_______ 4___________ 5__________ 6______ 7_____ 8__________ 9

Chunks:
  FalsePositive nam [3,3] = Warsztat (confidence=0.75) (incorrect boundry)

(ChunkerEvaluator) Sentence #359 from 00101875 from sent3

Text  : W tym artykule opiszemy jak zmiana zębatki atakującej wygląda w_ praktyce w_ elektrycznym Rustlerze ._
Tokens: 1 2__ 3_______ 4_______ 5__ 6_____ 7______ 8_________ 9______ 10 11______ 12 13__________ 14_______ 15

Chunks:
  TruePositive nam [14,14] = Rustlerze (confidence=0.99)

(ChunkerEvaluator) Sentence #360 from 00101875 from sent4

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #361 from 00101875 from sent5

Text  : Upewniamy się , że mamy klucze imbusowe pasujące do śrub mocujących starą i_ nowa zębatkę ._
Tokens: 1________ 2__ 3 4_ 5___ 6_____ 7_______ 8_______ 9_ 10__ 11________ 12___ 13 14__ 15_____ 16

Chunks:

(ChunkerEvaluator) Sentence #362 from 00101875 from sent6

Text  : Oryginalna zębatka atakująca Rustlera wymaga klucza 1 . 5mm ,_ który dostarczany jest w_ zestawie ._
Tokens: 1_________ 2______ 3________ 4_______ 5_____ 6_____ 7 8 9__ 10 11___ 12_________ 13__ 14 15______ 16

Chunks:
  TruePositive nam [4,4] = Rustlera (confidence=1.00)

(ChunkerEvaluator) Sentence #363 from 00101875 from sent7

Text  : Piniony innych producentów , np . Robinson Racing , wymagają zazwyczaj klucza 1_ /_ 16 cala ._
Tokens: 1______ 2_____ 3__________ 4 5_ 6 7_______ 8_____ 9 10______ 11_______ 12____ 13 14 15 16__ 17

Chunks:
  TruePositive nam [7,8] = Robinson Racing (confidence=1.00)

(ChunkerEvaluator) Sentence #364 from 00101875 from sent8

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #365 from 00101875 from sent9

Text  : Zdejmujemy prawe tylne koło żeby ułatwić sobie dostęp do śrub mocujących osłonę zębatek ._
Tokens: 1_________ 2____ 3____ 4___ 5___ 6______ 7____ 8_____ 9_ 10__ 11________ 12____ 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #366 from 00101875 from sent10

Text  : Odkręcamy obydwie śruby i zdejmujemy osłonę .
Tokens: 1________ 2______ 3____ 4 5_________ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #367 from 00101875 from sent11

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #368 from 00101875 from sent12

Text  : Luzujemy śruby mocujące silnik .
Tokens: 1_______ 2____ 3_______ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #369 from 00101875 from sent13

Text  : Przy okazji warto założyć pod te śruby podkładki , które zabezpieczą mocowanie silnika przed uszkodzeniem przez mocno dociśnięte łby śrub ._
Tokens: 1___ 2_____ 3____ 4______ 5__ 6_ 7____ 8________ 9 10___ 11_________ 12_______ 13_____ 14___ 15__________ 16___ 17___ 18________ 19_ 20__ 21

Chunks:

(ChunkerEvaluator) Sentence #370 from 00101875 from sent14

Text  : 4 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #371 from 00101875 from sent15

Text  : Odkręcamy śrubę mocująca zębatkę atakującą .
Tokens: 1________ 2____ 3_______ 4______ 5________ 6

Chunks:

(ChunkerEvaluator) Sentence #372 from 00101875 from sent16

Text  : Zdejmujemy starą zębatkę i montujemy w jej miejsce nową ._
Tokens: 1_________ 2____ 3______ 4 5________ 6 7__ 8______ 9___ 10

Chunks:

(ChunkerEvaluator) Sentence #373 from 00101875 from sent17

Text  : 5 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #374 from 00101875 from sent18

Text  : Przesuwamy silnik tak , żeby zębatka atakująca i odbierająca zazębiły się ,_ a_ następnie wsuwamy między nie pasek papieru ._
Tokens: 1_________ 2_____ 3__ 4 5___ 6______ 7________ 8 9__________ 10______ 11_ 12 13 14_______ 15_____ 16____ 17_ 18___ 19_____ 20

Chunks:

(ChunkerEvaluator) Sentence #375 from 00101875 from sent19

Text  : Dociskamy zębatki do siebie i dokręcamy śruby mocujące silnik ._
Tokens: 1________ 2______ 3_ 4_____ 5 6________ 7____ 8_______ 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #376 from 00101875 from sent20

Text  : 6 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #377 from 00101875 from sent21

Text  : Obracając zębatką odbierającą wykręcamy papier z pomiędzy zębatek .
Tokens: 1________ 2______ 3__________ 4________ 5_____ 6 7_______ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #378 from 00101875 from sent22

Text  : Powinien wyjść lekko , w postaci harmonijki , ale nie potargany ._
Tokens: 1_______ 2____ 3____ 4 5 6______ 7_________ 8 9__ 10_ 11_______ 12

Chunks:

(ChunkerEvaluator) Sentence #379 from 00101875 from sent23

Text  : 7 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #380 from 00101875 from sent24

Text  : Mocujemy z powrotem plastikową osłonę i koło .
Tokens: 1_______ 2 3_______ 4_________ 5_____ 6 7___ 8

Chunks:

(ChunkerEvaluator) Sentence #381 from 00101875 from sent25

Text  : Cieszymy sie nową zębatką .
Tokens: 1_______ 2__ 3___ 4______ 5

Chunks:

2017-06-14 20:06:32,302 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 28 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101899.xml
(ChunkerEvaluator) Sentence #382 from 00101899 from sent1

Text  : Węgiel kamienny wykorzystywany jest przez elektroenergetykę , ciepłownictwo , koksownictwo ,_ przemysł ,_ sektor komunalno -_ bytowy ._
Tokens: 1_____ 2_______ 3_____________ 4___ 5____ 6________________ 7 8____________ 9 10__________ 11 12______ 13 14____ 15_______ 16 17____ 18

Chunks:

(ChunkerEvaluator) Sentence #383 from 00101899 from sent2

Text  : Długoterminowe prognozy przewidują spadek udziału paliw kopalnych stałych w strukturze źródeł energii ,_ jednak jeszcze po 2010 roku bedzie zajmował znacząca pozycję ._
Tokens: 1_____________ 2_______ 3_________ 4_____ 5______ 6____ 7________ 8______ 9 10________ 11____ 12_____ 13 14____ 15_____ 16 17__ 18__ 19____ 20______ 21______ 22_____ 23

Chunks:

(ChunkerEvaluator) Sentence #384 from 00101899 from sent3

Text  : Przyczyny zmniejszania wydobycia węgla kamiennego : spadek zapotrzebowania na węgiel w_ związku z_ rosnącym udziałem innych źródeł energii ,_ w_ tym również odnawialnych ,_ zamykanie nierentownych i_ niebezpiecznych kopalni ,_ wydobywanie złóż położonych głęboko ,_ co zwiększa koszty wydobycia ._
Tokens: 1________ 2___________ 3________ 4____ 5_________ 6 7_____ 8______________ 9_ 10____ 11 12_____ 13 14______ 15______ 16____ 17____ 18_____ 19 20 21_ 22_____ 23__________ 24 25_______ 26___________ 27 28_____________ 29_____ 30 31_________ 32__ 33________ 34_____ 35 36 37______ 38____ 39_______ 40

Chunks:

(ChunkerEvaluator) Sentence #385 from 00101899 from sent4

Text  : Złoża węgla występują w Zagłębiu Górnośląskim , Dolnośląskim / Wałbrzyskim /_ oraz we wschodniej Polsce między Wieprzem a_ Bugiem /_ Zagłebie Lubelskie /_ ._
Tokens: 1____ 2____ 3________ 4 5_______ 6___________ 7 8___________ 9 10_________ 11 12__ 13 14________ 15____ 16____ 17______ 18 19____ 20 21______ 22_______ 23 24

Chunks:
  TruePositive nam [5,6] = Zagłębiu Górnośląskim (confidence=1.00)
  TruePositive nam [8,8] = Dolnośląskim (confidence=0.84)
  TruePositive nam [10,10] = Wałbrzyskim (confidence=0.64)
  TruePositive nam [15,15] = Polsce (confidence=1.00)
  TruePositive nam [17,17] = Wieprzem (confidence=0.95)
  TruePositive nam [19,19] = Bugiem (confidence=0.83)
  TruePositive nam [21,22] = Zagłebie Lubelskie (confidence=0.64)

(ChunkerEvaluator) Sentence #386 from 00101899 from sent5

Text  : Udział udokumentowanych złóż na terenie Polski w zasobach światowych stanowi 5_ ,_ 5_ %_ ._
Tokens: 1_____ 2_______________ 3___ 4_ 5______ 6_____ 7 8_______ 9_________ 10_____ 11 12 13 14 15

Chunks:
  TruePositive nam [6,6] = Polski (confidence=1.00)

(ChunkerEvaluator) Sentence #387 from 00101899 from sent6

Text  : Najstarsza kopalnia węgla kamiennego na ziemiach polskich powstała w Rudzie Śląskiej w_ 1751r ._
Tokens: 1_________ 2_______ 3____ 4_________ 5_ 6_______ 7_______ 8_______ 9 10____ 11______ 12 13___ 14

Chunks:
  TruePositive nam [10,11] = Rudzie Śląskiej (confidence=1.00)

(ChunkerEvaluator) Sentence #388 from 00101899 from sent7

Text  : Obecnie węgiel wydobywa się tylko w dwóch zagłębiach : Górnośląskim i_ Lubelskim ._
Tokens: 1______ 2_____ 3_______ 4__ 5____ 6 7____ 8_________ 9 10__________ 11 12_______ 13

Chunks:
  TruePositive nam [10,10] = Górnośląskim (confidence=0.95)
  TruePositive nam [12,12] = Lubelskim (confidence=0.99)

(ChunkerEvaluator) Sentence #389 from 00101899 from sent8

Text  : Wydobywany jest metodą głębinową .
Tokens: 1_________ 2___ 3_____ 4________ 5

Chunks:

(ChunkerEvaluator) Sentence #390 from 00101899 from sent9

Text  : Rejony wydobycia węgla kamiennego pociągały za sobą koncentrację przemysłu i_ ludności ,_ powodując zanieczyszczenie i_ degradację środowiska przyrodniczego ._
Tokens: 1_____ 2________ 3____ 4_________ 5________ 6_ 7___ 8___________ 9________ 10 11______ 12 13_______ 14______________ 15 16________ 17________ 18____________ 19

Chunks:

(ChunkerEvaluator) Sentence #391 from 00101899 from sent10

Text  : Wydobywany jest metoda odkrywkową , która powoduje jeszcze większą degradację środowiska od metody głębinowej ._
Tokens: 1_________ 2___ 3_____ 4_________ 5 6____ 7_______ 8______ 9______ 10________ 11________ 12 13____ 14________ 15

Chunks:

(ChunkerEvaluator) Sentence #392 from 00101899 from sent11

Text  : Wykorzystywany jest w energetyce i przemyśle chemicznym .
Tokens: 1_____________ 2___ 3 4_________ 5 6________ 7_________ 8

Chunks:

(ChunkerEvaluator) Sentence #393 from 00101899 from sent12

Text  : W miejscu wydobycia węgla brunatnego powstały elektrownie na węgiel brunatny ,_ w_ zwiazku z_ nieopłacalnością transportu tego surowca ._
Tokens: 1 2______ 3________ 4____ 5_________ 6_______ 7__________ 8_ 9_____ 10______ 11 12 13_____ 14 15______________ 16________ 17__ 18_____ 19

Chunks:

(ChunkerEvaluator) Sentence #394 from 00101899 from sent13

Text  : Najważniejsze obszary wydobycia to : region bełchatowski / są tu największe zasoby tego surowca /_ ,_ turoszowski oraz koniński ._
Tokens: 1____________ 2______ 3________ 4_ 5 6_____ 7___________ 8 9_ 10 11________ 12____ 13__ 14_____ 15 16 17_________ 18__ 19______ 20

Chunks:
  FalseNegative nam [7,7] = bełchatowski
  FalseNegative nam [17,17] = turoszowski
  FalseNegative nam [19,19] = koniński

(ChunkerEvaluator) Sentence #395 from 00101899 from sent14

Text  : Elektrownia Bełchatów jest największą w Polsce i dostarcza 25 %_ krajowej produkcji energii ._
Tokens: 1__________ 2________ 3___ 4_________ 5 6_____ 7 8________ 9_ 10 11______ 12_______ 13_____ 14

Chunks:
  TruePositive nam [1,2] = Elektrownia Bełchatów (confidence=0.80)
  TruePositive nam [6,6] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #396 from 00101899 from sent15

Text  : Ropa naftowa
Tokens: 1___ 2______

Chunks:

(ChunkerEvaluator) Sentence #397 from 00101899 from sent16

Text  : Stwierdzone na terenie Polski zasoby ropy naftowej są niewielkie i_ nie zaspokajają rosnących potrzeb przemysłu chemicznego i_ paliwowego ._
Tokens: 1__________ 2_ 3______ 4_____ 5_____ 6___ 7_______ 8_ 9_________ 10 11_ 12_________ 13_______ 14_____ 15_______ 16_________ 17 18________ 19

Chunks:
  TruePositive nam [4,4] = Polski (confidence=1.00)

(ChunkerEvaluator) Sentence #398 from 00101899 from sent17

Text  : Obszary wydobycia : Beskidy / Jasło , Krosno , Gorlice /_ ,_ Dębno koło Gorzowa Wielkopolskiego ,_ w_ Kamieniu Pomorskim i_ na szelfie Morza Bałtyckiego /_ na północ od Rozewia /_ ._
Tokens: 1______ 2________ 3 4______ 5 6____ 7 8_____ 9 10_____ 11 12 13___ 14__ 15_____ 16_____________ 17 18 19______ 20_______ 21 22 23_____ 24___ 25_________ 26 27 28____ 29 30_____ 31 32

Chunks:
  TruePositive nam [4,4] = Beskidy (confidence=0.80)
  TruePositive nam [6,6] = Jasło (confidence=0.97)
  TruePositive nam [8,8] = Krosno (confidence=1.00)
  TruePositive nam [10,10] = Gorlice (confidence=0.97)
  TruePositive nam [13,13] = Dębno (confidence=0.94)
  TruePositive nam [15,16] = Gorzowa Wielkopolskiego (confidence=1.00)
  TruePositive nam [19,20] = Kamieniu Pomorskim (confidence=1.00)
  TruePositive nam [24,25] = Morza Bałtyckiego (confidence=0.91)
  FalseNegative nam [30,30] = Rozewia

(ChunkerEvaluator) Sentence #399 from 00101899 from sent18

Text  : Największe zakłady rafineryjne znajdują się w Płocku i Gdańsku ._
Tokens: 1_________ 2______ 3__________ 4_______ 5__ 6 7_____ 8 9______ 10

Chunks:
  TruePositive nam [7,7] = Płocku (confidence=1.00)
  TruePositive nam [9,9] = Gdańsku (confidence=1.00)

(ChunkerEvaluator) Sentence #400 from 00101899 from sent19

Text  : Złoża gazu występują na Podkarpaciu / tu sa prawie na wyczerpaniu /_ ,_ w_ zachodniopomorskiem oraz w_ okolicy Ostrowa Wielkopolskiego i_ Trzebnicy ._
Tokens: 1____ 2___ 3________ 4_ 5__________ 6 7_ 8_ 9_____ 10 11_________ 12 13 14 15_________________ 16__ 17 18_____ 19_____ 20_____________ 21 22_______ 23

Chunks:
  TruePositive nam [5,5] = Podkarpaciu (confidence=0.78)
  TruePositive nam [19,20] = Ostrowa Wielkopolskiego (confidence=1.00)
  TruePositive nam [22,22] = Trzebnicy (confidence=0.98)
  FalseNegative nam [15,15] = zachodniopomorskiem

(ChunkerEvaluator) Sentence #401 from 00101899 from sent20

Text  : Spośród kopalnych źródeł energii gaz jest najmniej uciążliwy dla środowiska przyrodniczego ._
Tokens: 1______ 2________ 3_____ 4______ 5__ 6___ 7_______ 8________ 9__ 10________ 11____________ 12

Chunks:

2017-06-14 20:06:32,390 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 29 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101910.xml
(ChunkerEvaluator) Sentence #402 from 00101910 from sent1

Text  : Drzewem spinającym grafu spójnego G nazywamy podgraf G będący drzewem i_ zawierającym wszystkie wierzchołki grafu G_ ._
Tokens: 1______ 2_________ 3____ 4_______ 5 6_______ 7______ 8 9_____ 10_____ 11 12__________ 13_______ 14_________ 15___ 16 17

Chunks:
  FalsePositive nam [8,8] = G (confidence=0.97) (incorrect boundry)
  FalsePositive nam [16,16] = G (confidence=0.88) (incorrect boundry)

(ChunkerEvaluator) Sentence #403 from 00101910 from sent2

Text  : Las spinający grafu niespójnego G zawiera po jednym drzewie spinającym dla każdej składowej grafu G_ ._
Tokens: 1__ 2________ 3____ 4__________ 5 6______ 7_ 8_____ 9______ 10________ 11_ 12____ 13_______ 14___ 15 16

Chunks:
  FalsePositive nam [15,15] = G (confidence=0.93) (incorrect boundry)

(ChunkerEvaluator) Sentence #404 from 00101910 from sent3

Text  : G - n wierzchołków , wybieramy krawędzie e 1 ,_ e_ 2_ ,_ ._ ._ ._ ,_ e_ n_ −_ 1_ w_ taki sposób ,_ żeby dla każdego i_ =_ 1_ ,_ 2_ ,_ ._ ._ ._ ,_ n_ -_ 1_ e_ i_ było krawędzią o_ najmniejszej wadze ,_ nie tworzącą cyklu z_ krawędziami
Tokens: 1 2 3 4___________ 5 6________ 7________ 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23__ 24____ 25 26__ 27_ 28_____ 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44__ 45_______ 46 47__________ 48___ 49 50_ 51______ 52___ 53 54_________

Chunks:

(ChunkerEvaluator) Sentence #405 from 00101910 from sent4

Text  : Niech G będzie spójnym ( bez pętli ) grafem z_ wagami mającymi n_ wierzchołków ._
Tokens: 1____ 2 3_____ 4______ 5 6__ 7____ 8 9_____ 10 11____ 12______ 13 14__________ 15

Chunks:
  FalsePositive nam [2,2] = G (confidence=0.54) (incorrect boundry)

(ChunkerEvaluator) Sentence #406 from 00101910 from sent5

Text  : Algorytm zachłanny opisany powyżej wyznacza drzewo spinające T grafu G_ o_ najmniejszej wadze całkowitej ._
Tokens: 1_______ 2________ 3______ 4______ 5_______ 6_____ 7________ 8 9____ 10 11 12__________ 13___ 14________ 15

Chunks:

(ChunkerEvaluator) Sentence #407 from 00101910 from sent6

Text  : Otrzymany graf T ma n wierzchołków , n - 1_ krawędzi i_ nie zawiera cykli ,_ więc jest drzewem (_ twierdzenie o_ drzewach )_ ._
Tokens: 1________ 2___ 3 4_ 5 6___________ 7 8 9 10 11______ 12 13_ 14_____ 15___ 16 17__ 18__ 19_____ 20 21_________ 22 23______ 24 25

Chunks:
  FalsePositive nam [3,3] = T (confidence=0.74) (incorrect boundry)

(ChunkerEvaluator) Sentence #408 from 00101910 from sent7

Text  : Przypuśćmy , że S jest drzewem spinającym grafu G ,_ że w_ (_ S_ )_ <_ w_ (_ T_ )_ ._
Tokens: 1_________ 2 3_ 4 5___ 6______ 7_________ 8____ 9 10 11 12 13 14 15 16 17 18 19 20 21

Chunks:
  FalsePositive nam [4,4] = S (confidence=0.65) (incorrect boundry)
  FalsePositive nam [9,9] = G (confidence=0.91) (incorrect boundry)
  FalsePositive nam [14,14] = S (confidence=0.54) (incorrect boundry)

(ChunkerEvaluator) Sentence #409 from 00101910 from sent8

Text  : Niech będzie pierwszą wybraną krawędzią , która nie należy do S_ ._ Dodając e_ k_ do S_ otrzymamy podgraf grafu G_ mając dokładnie jeden cykl C_ przechodzącym przez twierdzenie o_ drzewach )_ ._
Tokens: 1____ 2_____ 3_______ 4______ 5________ 6 7____ 8__ 9_____ 10 11 12 13_____ 14 15 16 17 18_______ 19_____ 20___ 21 22___ 23_______ 24___ 25__ 26 27___________ 28___ 29_________ 30 31______ 32 33

Chunks:
  FalsePositive nam [11,13] = S . Dodając (confidence=0.79) (incorrect boundry)
  FalsePositive nam [21,21] = G (confidence=0.98) (incorrect boundry)

(ChunkerEvaluator) Sentence #410 from 00101910 from sent9

Text  : Cykl C zawiera krawędź , lecz nienależącą do T ._ Tworzymy podgraf S_ '_ grafu G_ zastępując e_ przez e_ w_ S_ ._
Tokens: 1___ 2 3______ 4______ 5 6___ 7__________ 8_ 9 10 11______ 12_____ 13 14 15___ 16 17________ 18 19___ 20 21 22 23

Chunks:
  FalsePositive nam [9,13] = T . Tworzymy podgraf S (confidence=1.00) (incorrect boundry)
  FalsePositive nam [16,16] = G (confidence=0.55) (incorrect boundry)

(ChunkerEvaluator) Sentence #411 from 00101910 from sent10

Text  : S ma n - 1 krawędzi i jest grafem spójnym ,_ a_ więc jest drzewem spinającym grafu G_ ._ Mamy (_ z_ konstrukcji e_ 1_ ,_ n_ −_ 1_ )_ ,_ a_ więc ._
Tokens: 1 2_ 3 4 5 6_______ 7 8___ 9_____ 10_____ 11 12 13__ 14__ 15_____ 16________ 17___ 18 19 20__ 21 22 23_________ 24 25 26 27 28 29 30 31 32 33__ 34

Chunks:
  FalsePositive nam [18,20] = G . Mamy (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #412 from 00101910 from sent11

Text  : Drzewo S ma więcej krawędzi wspólnych z T niż z_ S_ ._ Powtarzając powyższą procedurę skończenie wiele razy otrzymamy w_ końcu drzewo T_ i_ nierówność wbrew założeniu w_ (_ S_ )_ <_ w_ (_ T_ )_ ._
Tokens: 1_____ 2 3_ 4_____ 5_______ 6________ 7 8 9__ 10 11 12 13_________ 14______ 15_______ 16________ 17___ 18__ 19_______ 20 21___ 22____ 23 24 25________ 26___ 27_______ 28 29 30 31 32 33 34 35 36 37

Chunks:
  FalsePositive nam [8,8] = T (confidence=0.88) (incorrect boundry)
  FalsePositive nam [11,13] = S . Powtarzając (confidence=0.88) (incorrect boundry)
  FalsePositive nam [30,30] = S (confidence=0.57) (incorrect boundry)

(ChunkerEvaluator) Sentence #413 from 00101910 from sent12

Text  : Sprzeczność .
Tokens: 1__________ 2

Chunks:

(ChunkerEvaluator) Sentence #414 from 00101910 from sent13

Text  : Analogicznie wyznaczamy drzewo spinające o największej wadze całkowitej .
Tokens: 1___________ 2_________ 3_____ 4________ 5 6__________ 7____ 8_________ 9

Chunks:

2017-06-14 20:06:32,469 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 30 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101938.xml
(ChunkerEvaluator) Sentence #415 from 00101938 from sent1

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #416 from 00101938 from sent2

Text  : Strona otrzymująca przeprowadza , w trybie natychmiastowym i zgodnie z_ prawem krajowym ,_ postępowanie wyjaśniające ._
Tokens: 1_____ 2__________ 3___________ 4 5 6_____ 7______________ 8 9______ 10 11____ 12______ 13 14__________ 15__________ 16

Chunks:

(ChunkerEvaluator) Sentence #417 from 00101938 from sent3

Text  : W razie potrzeby w postępowaniu wyjaśniającym bierze udział Strona wytwarzająca ._
Tokens: 1 2____ 3_______ 4 5___________ 6____________ 7_____ 8_____ 9_____ 10__________ 11

Chunks:

(ChunkerEvaluator) Sentence #418 from 00101938 from sent4

Text  : Strona otrzymująca informuje niezwłocznie Stronę wytwarzającą o okolicznościach i wyniku postępowania wyjaśniającego oraz środkach zastosowanych w_ celu uniknięcia powtórzenia się takiej sytuacji ._
Tokens: 1_____ 2__________ 3________ 4___________ 5_____ 6___________ 7 8______________ 9 10____ 11__________ 12____________ 13__ 14______ 15___________ 16 17__ 18________ 19_________ 20_ 21____ 22______ 23

Chunks:

(ChunkerEvaluator) Sentence #419 from 00101938 from sent5

Text  : Każda ze Stron pokrywa swoje własne koszty poniesione w związku z_ implementacją i_ wejściem w_ życie niniejszej Umowy ._
Tokens: 1____ 2_ 3____ 4______ 5____ 6_____ 7_____ 8_________ 9 10_____ 11 12___________ 13 14______ 15 16___ 17________ 18___ 19

Chunks:

(ChunkerEvaluator) Sentence #420 from 00101938 from sent6

Text  : ARTYKUŁ 15
Tokens: 1______ 2_

Chunks:

(ChunkerEvaluator) Sentence #421 from 00101938 from sent7

Text  : Wszelkie sporne kwestie dotyczące interpretacji lub stosowania niniejszej Umowy są rozstrzygane wyłącznie w_ drodze konsultacji między Stronami i_ nie są przedkładane do rozstrzygnięcia żadnemu krajowemu lub międzynarodowemu trybunałowi ._
Tokens: 1_______ 2_____ 3______ 4________ 5____________ 6__ 7_________ 8_________ 9____ 10 11__________ 12_______ 13 14____ 15_________ 16____ 17______ 18 19_ 20 21__________ 22 23_____________ 24_____ 25_______ 26_ 27______________ 28_________ 29

Chunks:

(ChunkerEvaluator) Sentence #422 from 00101938 from sent8

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #423 from 00101938 from sent9

Text  : Każda ze Stron informuje drugą Stronę drogą dyplomatyczną o zakończeniu wewnętrznych procedur wymaganych do wejścia niniejszej Umowy w_ życie ._
Tokens: 1____ 2_ 3____ 4________ 5____ 6_____ 7____ 8____________ 9 10_________ 11__________ 12______ 13________ 14 15_____ 16________ 17___ 18 19___ 20

Chunks:

(ChunkerEvaluator) Sentence #424 from 00101938 from sent10

Text  : Niniejsza Umowa wchodzi w życie pierwszego dnia drugiego miesiąca ,_ który nastąpi po dniu otrzymania noty późniejszej ._
Tokens: 1________ 2____ 3______ 4 5____ 6_________ 7___ 8_______ 9_______ 10 11___ 12_____ 13 14__ 15________ 16__ 17_________ 18

Chunks:

(ChunkerEvaluator) Sentence #425 from 00101938 from sent11

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #426 from 00101938 from sent12

Text  : Niniejsza Umowa zawarta jest na czas nieokreślony .
Tokens: 1________ 2____ 3______ 4___ 5_ 6___ 7___________ 8

Chunks:

(ChunkerEvaluator) Sentence #427 from 00101938 from sent13

Text  : W dowolnym czasie do niniejszej Umowy mogą być wprowadzane na piśmie poprawki za obustronną zgodą Stron ._
Tokens: 1 2_______ 3_____ 4_ 5_________ 6____ 7___ 8__ 9__________ 10 11____ 12______ 13 14________ 15___ 16___ 17

Chunks:

(ChunkerEvaluator) Sentence #428 from 00101938 from sent14

Text  : Poprawki wchodzą w życie zgodnie z postanowieniami ustępu 1 ._
Tokens: 1_______ 2______ 3 4____ 5______ 6 7______________ 8_____ 9 10

Chunks:

(ChunkerEvaluator) Sentence #429 from 00101938 from sent15

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #430 from 00101938 from sent16

Text  : Niniejsza Umowa może zostać wypowiedziana przez którąkolwiek ze Stron w_ drodze przekazania noty drugiej Stronie ._
Tokens: 1________ 2____ 3___ 4_____ 5____________ 6____ 7___________ 8_ 9____ 10 11____ 12_________ 13__ 14_____ 15_____ 16

Chunks:
  FalsePositive nam [15,15] = Stronie (confidence=0.93) (incorrect boundry)

(ChunkerEvaluator) Sentence #431 from 00101938 from sent17

Text  : Umowa utraci wówczas moc po upływie sześciu miesięcy od dnia otrzymania noty zawiadamiającej o_ wypowiedzeniu ._
Tokens: 1____ 2_____ 3______ 4__ 5_ 6______ 7______ 8_______ 9_ 10__ 11________ 12__ 13_____________ 14 15___________ 16

Chunks:

(ChunkerEvaluator) Sentence #432 from 00101938 from sent18

Text  : W przypadku wypowiedzenia wszystkie informacje niejawne przekazane lub wytworzone na podstawie niniejszej Umowy będą w_ dalszym ciągu traktowane zgodnie z_ jej postanowieniami ._
Tokens: 1 2________ 3____________ 4________ 5_________ 6_______ 7_________ 8__ 9_________ 10 11_______ 12________ 13___ 14__ 15 16_____ 17___ 18________ 19_____ 20 21_ 22_____________ 23

Chunks:

(ChunkerEvaluator) Sentence #433 from 00101938 from sent19

Text  : Na dowód czego niżej podpisani , należycie do tego upoważnieni przez swoje Rządy ,_ podpisali niniejszą Umową ._
Tokens: 1_ 2____ 3____ 4____ 5________ 6 7________ 8_ 9___ 10_________ 11___ 12___ 13___ 14 15_______ 16_______ 17___ 18

Chunks:
  FalsePositive nam [17,17] = Umową (confidence=0.58) (incorrect boundry)

(ChunkerEvaluator) Sentence #434 from 00101938 from sent20

Text  : Sporządzono w Warszawie dnia 18 sierpnia 2006 roku w dwóch egzemplarzach ,_ każdy w_ językach polskim i_ angielskim ,_ przy czym obydwa teksty są jednakowo autentyczne ._
Tokens: 1__________ 2 3________ 4___ 5_ 6_______ 7___ 8___ 9 10___ 11___________ 12 13___ 14 15______ 16_____ 17 18________ 19 20__ 21__ 22____ 23____ 24 25_______ 26_________ 27

Chunks:
  TruePositive nam [3,3] = Warszawie (confidence=1.00)

(ChunkerEvaluator) Sentence #435 from 00101938 from sent21

Text  : Po zaznajomieniu się z powyższą Umową , w imieniu Rzeczypospolitej Polskiej oświadczam ,_ że :_
Tokens: 1_ 2____________ 3__ 4 5_______ 6____ 7 8 9______ 10______________ 11______ 12________ 13 14 15

Chunks:
  TruePositive nam [10,11] = Rzeczypospolitej Polskiej (confidence=1.00)
  FalsePositive nam [6,6] = Umową (confidence=0.92) (incorrect boundry)

(ChunkerEvaluator) Sentence #436 from 00101938 from sent22

Text  : - została ona uznana za słuszną zarówno w całości ,_ jak i_ każde z_ postanowień w_ niej zawartych ,_
Tokens: 1 2______ 3__ 4_____ 5_ 6______ 7______ 8 9______ 10 11_ 12 13___ 14 15_________ 16 17__ 18_______ 19

Chunks:

(ChunkerEvaluator) Sentence #437 from 00101938 from sent23

Text  : - jest przyjęta , ratyfikowana i potwierdzona ,
Tokens: 1 2___ 3_______ 4 5___________ 6 7___________ 8

Chunks:

(ChunkerEvaluator) Sentence #438 from 00101938 from sent24

Text  : - będzie niezmiennie zachowywana .
Tokens: 1 2_____ 3__________ 4__________ 5

Chunks:

(ChunkerEvaluator) Sentence #439 from 00101938 from sent25

Text  : Na dowód czego wydany został akt niniejszy , opatrzony pieczęcią Rzeczypospolitej Polskiej ._
Tokens: 1_ 2____ 3____ 4_____ 5_____ 6__ 7________ 8 9________ 10_______ 11______________ 12______ 13

Chunks:
  TruePositive nam [11,12] = Rzeczypospolitej Polskiej (confidence=1.00)

(ChunkerEvaluator) Sentence #440 from 00101938 from sent26

Text  : Dano w Warszawie dnia 6 marca 2007 r .
Tokens: 1___ 2 3________ 4___ 5 6____ 7___ 8 9

Chunks:
  TruePositive nam [3,3] = Warszawie (confidence=1.00)

(ChunkerEvaluator) Sentence #441 from 00101938 from sent27

Text  : Prezydent Rzeczypospolitej Polskiej : L . Kaczyński
Tokens: 1________ 2_______________ 3_______ 4 5 6 7________

Chunks:
  TruePositive nam [5,7] = L . Kaczyński (confidence=0.97)
  FalsePositive nam [2,3] = Rzeczypospolitej Polskiej (confidence=0.97) (incorrect boundry)
  FalseNegative nam [1,3] = Prezydent Rzeczypospolitej Polskiej

(ChunkerEvaluator) Sentence #442 from 00101938 from sent28

Text  : L . S .
Tokens: 1 2 3 4

Chunks:

2017-06-14 20:06:32,567 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 31 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101945.xml
(ChunkerEvaluator) Sentence #443 from 00101945 from sent1

Text  : 3 ) końcowe wynagrodzenie za wyniki finansowe funduszu , w_ tym także wynagrodzenie wyrażone w_ postaci określonej procentowo części akcji funduszu ,_ ustala się w_ obu przypadkach w_ wysokości nie przekraczającej iloczynu wartości 0_ ,_ 5_ %_ akcji funduszu oraz liczby lat ,_ w_ których firma zarządzająca świadczyła usługi na rzecz funduszu ,_ w_ kwocie uzyskanej ze sprzedaży akcji oraz wartości należnych dywidend ;_ wynagrodzenie takie może zostać wypłacone dopiero po wygaśnięciu umowy z_ firmą zarządzającą ._
Tokens: 1 2 3______ 4____________ 5_ 6_____ 7________ 8_______ 9 10 11_ 12___ 13___________ 14______ 15 16_____ 17________ 18________ 19____ 20___ 21______ 22 23____ 24_ 25 26_ 27_________ 28 29_______ 30_ 31_____________ 32______ 33______ 34 35 36 37 38___ 39______ 40__ 41____ 42_ 43 44 45_____ 46___ 47__________ 48________ 49____ 50 51___ 52______ 53 54 55____ 56_______ 57 58_______ 59___ 60__ 61______ 62_______ 63______ 64 65___________ 66___ 67__ 68____ 69_______ 70_____ 71 72_________ 73___ 74 75___ 76__________ 77

Chunks:

(ChunkerEvaluator) Sentence #444 from 00101945 from sent2

Text  : 4 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #445 from 00101945 from sent3

Text  : Wynagrodzenie , o którym mowa w ust . 3 ,_ może przysługiwać firmie zarządzającej w_ wysokości nie wyższej niż ustalone proporcjonalnie do okresu ,_ w_ którym świadczyła ona usługi na rzecz funduszu ._
Tokens: 1____________ 2 3 4_____ 5___ 6 7__ 8 9 10 11__ 12__________ 13____ 14___________ 15 16_______ 17_ 18_____ 19_ 20______ 21_____________ 22 23____ 24 25 26____ 27________ 28_ 29____ 30 31___ 32______ 33

Chunks:

(ChunkerEvaluator) Sentence #446 from 00101945 from sent4

Text  : 5 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #447 from 00101945 from sent5

Text  : Zasady wynagradzania firmy zarządzającej świadczącej usługi na rzecz funduszu ,_ w_ którym Skarb Państwa przestał być jedynym akcjonariuszem ,_ muszą spełniać warunek ,_ że ta część wynagrodzenia ,_ która uzależniona jest od wyników finansowych funduszu ,_ również wtedy ,_ gdy jest ona wyrażona w_ określonej procentowo części akcji funduszu ,_ nie może przekroczyć wartości 2_ %_ akcji funduszu za każdy rok świadczenia usług przez firmę zarządzającą ._
Tokens: 1_____ 2____________ 3____ 4____________ 5__________ 6_____ 7_ 8____ 9_______ 10 11 12____ 13___ 14_____ 15______ 16_ 17_____ 18____________ 19 20___ 21______ 22_____ 23 24 25 26___ 27___________ 28 29___ 30_________ 31__ 32 33_____ 34_________ 35______ 36 37_____ 38___ 39 40_ 41__ 42_ 43______ 44 45________ 46________ 47____ 48___ 49______ 50 51_ 52__ 53_________ 54______ 55 56 57___ 58______ 59 60___ 61_ 62_________ 63___ 64___ 65___ 66__________ 67

Chunks:
  TruePositive nam [13,14] = Skarb Państwa (confidence=0.95)

(ChunkerEvaluator) Sentence #448 from 00101945 from sent6

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #449 from 00101945 from sent7

Text  : Firma zarządzająca nie może jednocześnie świadczyć usług zarządzania na rzecz dwóch lub więcej funduszy lub być akcjonariuszem funduszu ,_ na którego rzecz świadczy usługi zarządzania ,_ bez wcześniejszego uzyskania zgody Prezesa Urzędu Ochrony Konkurencji i_ Konsumentów ._
Tokens: 1____ 2___________ 3__ 4___ 5___________ 6________ 7____ 8__________ 9_ 10___ 11___ 12_ 13____ 14______ 15_ 16_ 17____________ 18______ 19 20 21_____ 22___ 23______ 24____ 25_________ 26 27_ 28____________ 29_______ 30___ 31_____ 32____ 33_____ 34_________ 35 36_________ 37

Chunks:
  TruePositive nam [31,36] = Prezesa Urzędu Ochrony Konkurencji i Konsumentów (confidence=1.00)

(ChunkerEvaluator) Sentence #450 from 00101945 from sent8

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #451 from 00101945 from sent9

Text  : Członek rady nadzorczej lub zarządu funduszu nie może jednocześnie pełnić funkcji członka rady nadzorczej lub członka zarządu innego funduszu ._
Tokens: 1______ 2___ 3_________ 4__ 5______ 6_______ 7__ 8___ 9___________ 10____ 11_____ 12_____ 13__ 14________ 15_ 16_____ 17_____ 18____ 19______ 20

Chunks:

(ChunkerEvaluator) Sentence #452 from 00101945 from sent10

Text  : Zakaz ten stosuje się odpowiednio do prokurentów .
Tokens: 1____ 2__ 3______ 4__ 5__________ 6_ 7__________ 8

Chunks:

(ChunkerEvaluator) Sentence #453 from 00101945 from sent11

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #454 from 00101945 from sent12

Text  : W razie naruszenia obowiązków i zakazów , o których mowa w_ ust ._ 1_ i_ 2_ ,_ Prezes Urzędu Ochrony Konkurencji i_ Konsumentów może wydać decyzję o_ nałożeniu na odpowiedzialnego członka zarządu danego funduszu lub firmy zarządzającej kary pieniężnej w_ wysokości nieprzekraczającej połowy rocznego dochodu danej osoby za ostatni rok podatkowy ._
Tokens: 1 2____ 3_________ 4_________ 5 6______ 7 8 9______ 10__ 11 12_ 13 14 15 16 17 18____ 19____ 20_____ 21_________ 22 23_________ 24__ 25___ 26_____ 27 28_______ 29 30______________ 31_____ 32_____ 33____ 34______ 35_ 36___ 37___________ 38__ 39________ 40 41_______ 42________________ 43____ 44______ 45_____ 46___ 47___ 48 49_____ 50_ 51_______ 52

Chunks:
  TruePositive nam [18,23] = Prezes Urzędu Ochrony Konkurencji i Konsumentów (confidence=0.96)

(ChunkerEvaluator) Sentence #455 from 00101945 from sent13

Text  : Odwołania od decyzji Prezesa Urzędu Ochrony Konkurencji i Konsumentów podlegają rozpatrzeniu w_ trybie art ._ 78 ustawy z_ dnia 15 grudnia 2000 r_ ._ o_ ochronie konkurencji i_ konsumentów (_ Dz ._ U_ ._ Nr 122 ,_ poz ._ 1319 )_ ._
Tokens: 1________ 2_ 3______ 4______ 5_____ 6______ 7__________ 8 9__________ 10_______ 11__________ 12 13____ 14_ 15 16 17____ 18 19__ 20 21_____ 22__ 23 24 25 26______ 27_________ 28 29_________ 30 31 32 33 34 35 36_ 37 38_ 39 40__ 41 42

Chunks:
  TruePositive nam [4,9] = Prezesa Urzędu Ochrony Konkurencji i Konsumentów (confidence=1.00)
  TruePositive nam [17,29] = ustawy z dnia 15 grudnia 2000 r . o ochronie konkurencji i konsumentów (confidence=0.99)
  TruePositive nam [31,34] = Dz . U . (confidence=1.00)

(ChunkerEvaluator) Sentence #456 from 00101945 from sent14

Text  : Art . 26 .
Tokens: 1__ 2 3_ 4

Chunks:

(ChunkerEvaluator) Sentence #457 from 00101945 from sent15

Text  : Do firmy zarządzającej , jej pracowników i zleceniobiorców stosuje się odpowiednio przepisy art ._ 375 Kodeksu handlowego ._
Tokens: 1_ 2____ 3____________ 4 5__ 6__________ 7 8______________ 9______ 10_ 11_________ 12______ 13_ 14 15_ 16_____ 17________ 18

Chunks:
  FalseNegative nam [16,17] = Kodeksu handlowego

(ChunkerEvaluator) Sentence #458 from 00101945 from sent16

Text  : Zakazy , o których mowa w art . 25 ust ._ 1_ i_ 2_ oraz w_ art ._ 26 ,_ obejmują również podmioty dominujące i_ zależne w_ stosunku do firmy zarządzającej w_ rozumieniu art ._ 4_ pkt 3_ ustawy ,_ o_ której mowa w_ art ._ 25 ust ._ 3_ ._
Tokens: 1_____ 2 3 4______ 5___ 6 7__ 8 9_ 10_ 11 12 13 14 15__ 16 17_ 18 19 20 21______ 22_____ 23______ 24________ 25 26_____ 27 28______ 29 30___ 31___________ 32 33________ 34_ 35 36 37_ 38 39____ 40 41 42____ 43__ 44 45_ 46 47 48_ 49 50 51

Chunks:

(ChunkerEvaluator) Sentence #459 from 00101945 from sent17

Text  : Art . 28 .
Tokens: 1__ 2 3_ 4

Chunks:

(ChunkerEvaluator) Sentence #460 from 00101945 from sent18

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #461 from 00101945 from sent19

Text  : W okresie 3 lat od dnia rejestracji funduszu posłowie i_ senatorowie nie mogą być członkami rad nadzorczych ani zarządów funduszu lub spółki ,_ w_ której fundusz posiada co najmniej 20 %_ akcji ._
Tokens: 1 2______ 3 4__ 5_ 6___ 7__________ 8_______ 9_______ 10 11_________ 12_ 13__ 14_ 15_______ 16_ 17_________ 18_ 19______ 20______ 21_ 22____ 23 24 25____ 26_____ 27_____ 28 29______ 30 31 32___ 33

Chunks:

2017-06-14 20:06:32,692 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 32 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102016.xml
(ChunkerEvaluator) Sentence #462 from 00102016 from sent1

Text  : ❀
Tokens: 1

Chunks:

(ChunkerEvaluator) Sentence #463 from 00102016 from sent2

Text  : Astrolog nie przepowiada przyszłości i nie wyznacza jej , tylko interpretuje profesjonalnie wykonany kosmogram urodzeniowy ,_ który jest zapisem dynamicznego i_ probabilistycznego ,_ zmieniającego się w_ czasie według znanych nam reguł ,_ układu planet w_ momencie narodzin ._
Tokens: 1_______ 2__ 3__________ 4__________ 5 6__ 7_______ 8__ 9 10___ 11__________ 12____________ 13______ 14_______ 15_________ 16 17___ 18__ 19_____ 20__________ 21 22________________ 23 24___________ 25_ 26 27____ 28____ 29_____ 30_ 31___ 32 33____ 34____ 35 36______ 37______ 38

Chunks:

(ChunkerEvaluator) Sentence #464 from 00102016 from sent3

Text  : ❀
Tokens: 1

Chunks:

(ChunkerEvaluator) Sentence #465 from 00102016 from sent4

Text  : Ta wiedza wielu fascynuje i wielu poraża , stąd tyle bezsensownych opinii na jej temat ._
Tokens: 1_ 2_____ 3____ 4________ 5 6____ 7_____ 8 9___ 10__ 11___________ 12____ 13 14_ 15___ 16

Chunks:

(ChunkerEvaluator) Sentence #466 from 00102016 from sent5

Text  : Kosmogram pokazuje bowiem zakres potencjałów , szans i możliwości człowieka (_ czy np ._ narodu )_ oraz sposoby i_ czas jego aktualizacji ,_ pokazuje ,_ jak i_ kiedy zmaksymalizować minimalne możliwości i_ szansę oraz zminimalizować maksymalne zagrożenia i_ straty ,_ co bardziej przypomina przecież teorię minimaksu matematycznej teorii gier niż jakiekolwiek wieszczenie ._
Tokens: 1________ 2_______ 3_____ 4_____ 5__________ 6 7____ 8 9_________ 10_______ 11 12_ 13 14 15____ 16 17__ 18_____ 19 20__ 21__ 22__________ 23 24______ 25 26_ 27 28___ 29_____________ 30_______ 31________ 32 33____ 34__ 35____________ 36________ 37________ 38 39____ 40 41 42______ 43________ 44______ 45____ 46_______ 47___________ 48____ 49__ 50_ 51__________ 52_________ 53

Chunks:

(ChunkerEvaluator) Sentence #467 from 00102016 from sent6

Text  : prof . Jerzy Prokopiuk
Tokens: 1___ 2 3____ 4________

Chunks:
  TruePositive nam [3,4] = Jerzy Prokopiuk (confidence=1.00)

(ChunkerEvaluator) Sentence #468 from 00102016 from sent7

Text  : To nie gwiazdy wyznaczają los człowieka i nie one sterują ludzkimi poczynaniami ._
Tokens: 1_ 2__ 3______ 4_________ 5__ 6________ 7 8__ 9__ 10_____ 11______ 12__________ 13

Chunks:

(ChunkerEvaluator) Sentence #469 from 00102016 from sent8

Text  : Ich obecność uzmysławia nam jedynie to , że jesteśmy dziećmi wszechświata ,_ podlegamy prawom przyrody ,_ w_ tym również mało jeszcze zbadanym wpływom kosmosu ._
Tokens: 1__ 2_______ 3_________ 4__ 5______ 6_ 7 8_ 9_______ 10_____ 11__________ 12 13_______ 14____ 15______ 16 17 18_ 19_____ 20__ 21_____ 22______ 23_____ 24_____ 25

Chunks:

(ChunkerEvaluator) Sentence #470 from 00102016 from sent9

Text  : Astrologia jest więc studium tego , jak Ziemia współdziała z_ kosmicznym środowiskiem i_ dla swoich potrzeb stosuje język psychologii matematycznej ,_ bazujący na obliczeniach astronomicznych ._
Tokens: 1_________ 2___ 3___ 4______ 5___ 6 7__ 8_____ 9__________ 10 11________ 12__________ 13 14_ 15____ 16_____ 17_____ 18___ 19_________ 20___________ 21 22______ 23 24__________ 25_____________ 26

Chunks:
  TruePositive nam [8,8] = Ziemia (confidence=1.00)

(ChunkerEvaluator) Sentence #471 from 00102016 from sent10

Text  : ❀
Tokens: 1

Chunks:

(ChunkerEvaluator) Sentence #472 from 00102016 from sent11

Text  : Astrologia jest bez wątpienia jednym z najstarszych , ale i_ najbardziej złożonych systemów wiedzy ._
Tokens: 1_________ 2___ 3__ 4________ 5_____ 6 7___________ 8 9__ 10 11_________ 12_______ 13______ 14____ 15

Chunks:

(ChunkerEvaluator) Sentence #473 from 00102016 from sent12

Text  : Jest to zresztą system znacznie bardziej spójny wewnętrznie i logicznie (_ choć przede wszystkim empirycznie )_ uzasadniony ,_ niż wydaje się to zarówno krytykom ,_ jak i_ powierzchownym jej "_ znawcom "_ ,_ "_ fachowo "_ rozprawiającym o_ właściwościach poszczególnych znaków zodiaku ._
Tokens: 1___ 2_ 3______ 4_____ 5_______ 6_______ 7_____ 8__________ 9 10_______ 11 12__ 13____ 14_______ 15_________ 16 17_________ 18 19_ 20____ 21_ 22 23_____ 24______ 25 26_ 27 28____________ 29_ 30 31_____ 32 33 34 35_____ 36 37____________ 38 39____________ 40____________ 41____ 42_____ 43

Chunks:

(ChunkerEvaluator) Sentence #474 from 00102016 from sent13

Text  : Istnieją przesłanki , a nawet empiryczne dowody , by sądzić ,_ że obie te grupy mają ,_ w_ najlepszym wypadku ,_ bardzo mgliste rozumienie tego czym w_ rzeczywistości jest astrologia ._
Tokens: 1_______ 2_________ 3 4 5____ 6_________ 7_____ 8 9_ 10____ 11 12 13__ 14 15___ 16__ 17 18 19________ 20_____ 21 22____ 23_____ 24________ 25__ 26__ 27 28____________ 29__ 30________ 31

Chunks:

(ChunkerEvaluator) Sentence #475 from 00102016 from sent14

Text  : Nie wiedzą też najczęściej , że Zodiak to tylko jej drobny fragment ,_ jak i_ tego ,_ że jest on znacznie głębszy w_ swojej wymowie i_ znaczeniu ,_ e_ ,_ niż to wynika z_ analizy treściowej pokaźnej większości aktualnie dostępnych na rynku publikacji z_ tej dziedziny ._
Tokens: 1__ 2_____ 3__ 4__________ 5 6_ 7_____ 8_ 9____ 10_ 11____ 12______ 13 14_ 15 16__ 17 18 19__ 20 21______ 22_____ 23 24____ 25_____ 26 27_______ 28 29 30 31_ 32 33____ 34 35_____ 36________ 37______ 38________ 39_______ 40________ 41 42___ 43________ 44 45_ 46_______ 47

Chunks:
  TruePositive nam [7,7] = Zodiak (confidence=0.92)

(ChunkerEvaluator) Sentence #476 from 00102016 from sent15

Text  : Wojciech Eichelberger ( psycholog )
Tokens: 1_______ 2___________ 3 4________ 5

Chunks:
  TruePositive nam [1,2] = Wojciech Eichelberger (confidence=1.00)

(ChunkerEvaluator) Sentence #477 from 00102016 from sent16

Text  : Do astrologii został em przekonany w sposób empiryczny .
Tokens: 1_ 2_________ 3_____ 4_ 5_________ 6 7_____ 8_________ 9

Chunks:

(ChunkerEvaluator) Sentence #478 from 00102016 from sent17

Text  : Mój arogancki racjonalizm otrzymał bolesną lekcję pokory .
Tokens: 1__ 2________ 3__________ 4_______ 5______ 6_____ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #479 from 00102016 from sent18

Text  : ❀
Tokens: 1

Chunks:

(ChunkerEvaluator) Sentence #480 from 00102016 from sent19

Text  : Profesjonalny horoskop to taki , który precyzyjnie i jasno opisuje zasady naszej indywidualnej gry z_ losem ,_ daje pojęcie o_ atutach ,_ jakimi dysponujemy ,_ a_ także wskazuje na to ,_ czego powinni śmy się nauczyć ,_ co w_ sobie rozwinąć a_ czego unikać aby stawać się mistrzami swojego rozdania ._
Tokens: 1____________ 2_______ 3_ 4___ 5 6____ 7__________ 8 9____ 10_____ 11____ 12____ 13___________ 14_ 15 16___ 17 18__ 19_____ 20 21_____ 22 23____ 24_________ 25 26 27___ 28______ 29 30 31 32___ 33_____ 34_ 35_ 36_____ 37 38 39 40___ 41______ 42 43___ 44____ 45_ 46____ 47_ 48_______ 49_____ 50______ 51

Chunks:

2017-06-14 20:06:32,794 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 33 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102032.xml
(ChunkerEvaluator) Sentence #481 from 00102032 from sent1

Text  : 1 czerwca 2010 roku , w ramach Młodzieżowej Akcji Multimedialnej ,_ animator Fundacji Nowe Media -_ Mykola Shpakovsky -_ przeprowadził jednodniowy warsztat w_ Użgorodzie ._
Tokens: 1 2______ 3___ 4___ 5 6 7_____ 8___________ 9____ 10____________ 11 12______ 13______ 14__ 15___ 16 17____ 18________ 19 20___________ 21_________ 22______ 23 24________ 25

Chunks:
  TruePositive nam [8,10] = Młodzieżowej Akcji Multimedialnej (confidence=1.00)
  TruePositive nam [13,15] = Fundacji Nowe Media (confidence=1.00)
  TruePositive nam [17,18] = Mykola Shpakovsky (confidence=1.00)
  TruePositive nam [24,24] = Użgorodzie (confidence=0.99)

(ChunkerEvaluator) Sentence #482 from 00102032 from sent2

Text  : Po zakończeniu roku szkolnego trzynaścioro uczniów ze szkoły nr 5_ spotkało się ,_ by stworzyć qmama ._
Tokens: 1_ 2__________ 3___ 4________ 5___________ 6______ 7_ 8_____ 9_ 10 11______ 12_ 13 14 15______ 16___ 17

Chunks:

(ChunkerEvaluator) Sentence #483 from 00102032 from sent3

Text  : Wesoła atmosfera oraz zapał uczestników sprzyjał pracy nad kolejnymi stronami gazetki ._
Tokens: 1_____ 2________ 3___ 4____ 5__________ 6_______ 7____ 8__ 9________ 10______ 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #484 from 00102032 from sent4

Text  : Dzieciom spodobał się dynamiczny interface strony mammedia.com.ua , łatwość posługiwania się funkcjami redagowania tekstu oraz ciekawe konkursy MAM-u ._
Tokens: 1_______ 2_______ 3__ 4_________ 5________ 6_____ 7______________ 8 9______ 10__________ 11_ 12_______ 13_________ 14____ 15__ 16_____ 17______ 18___ 19

Chunks:
  TruePositive nam [7,7] = mammedia.com.ua (confidence=0.69)
  TruePositive nam [18,18] = MAM-u (confidence=1.00)

(ChunkerEvaluator) Sentence #485 from 00102032 from sent5

Text  : Młodzi dziennikarze , jak sami mówią , nauczyli się podczas warsztatu :_ „_ jak pomagać szkole i_ ludziom ”_ ,_ „_ jak stworzyć stronę tytułową ”_ oraz „_ jak robić swojego qmama ”_ ._
Tokens: 1_____ 2___________ 3 4__ 5___ 6____ 7 8_______ 9__ 10_____ 11_______ 12 13 14_ 15_____ 16____ 17 18_____ 19 20 21 22_ 23______ 24____ 25______ 26 27__ 28 29_ 30___ 31_____ 32___ 33 34

Chunks:

(ChunkerEvaluator) Sentence #486 from 00102032 from sent6

Text  : Warto zaznaczyć , iż uczniowie z tejże szkoły pod przewodnictwem nauczycielki –_ pani Marii Symkowycz od września 2009 roku wydają własną gazetkę multimedialną ._
Tokens: 1____ 2________ 3 4_ 5________ 6 7____ 8_____ 9__ 10____________ 11__________ 12 13__ 14___ 15_______ 16 17______ 18__ 19__ 20____ 21____ 22_____ 23___________ 24

Chunks:
  TruePositive nam [14,15] = Marii Symkowycz (confidence=1.00)

(ChunkerEvaluator) Sentence #487 from 00102032 from sent7

Text  : „ Pentagon ” zajął trzecie miejsce w ogólnoukraińskim konkursie MAM-u ._
Tokens: 1 2_______ 3 4____ 5______ 6______ 7 8_______________ 9________ 10___ 11

Chunks:
  TruePositive nam [10,10] = MAM-u (confidence=1.00)
  FalseNegative nam [2,2] = Pentagon

(ChunkerEvaluator) Sentence #488 from 00102032 from sent8

Text  : Ponadto szkoła nr 5 współpracuje z organizacjami i szkołami Francji ,_ Niemiec ,_ Polski ,_ Słowacji oraz Węgier ._
Tokens: 1______ 2_____ 3_ 4 5___________ 6 7____________ 8 9_______ 10_____ 11 12_____ 13 14____ 15 16______ 17__ 18____ 19

Chunks:
  TruePositive nam [10,10] = Francji (confidence=1.00)
  TruePositive nam [12,12] = Niemiec (confidence=1.00)
  TruePositive nam [14,14] = Polski (confidence=1.00)
  TruePositive nam [16,16] = Słowacji (confidence=1.00)
  TruePositive nam [18,18] = Węgier (confidence=1.00)

(ChunkerEvaluator) Sentence #489 from 00102032 from sent9

Text  : Mamy ogromną nadzieję , że uczestnicy warsztatu wykorzystają czas wakacji na twórczą zabawę z_ qmamem ._
Tokens: 1___ 2______ 3_______ 4 5_ 6_________ 7________ 8___________ 9___ 10_____ 11 12_____ 13____ 14 15____ 16

Chunks:

2017-06-14 20:06:32,842 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 34 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102045.xml
(ChunkerEvaluator) Sentence #490 from 00102045 from sent1

Text  : Piłkarze Turu Ozorków juz wznowili treningi .
Tokens: 1_______ 2___ 3______ 4__ 5_______ 6_______ 7

Chunks:
  TruePositive nam [2,3] = Turu Ozorków (confidence=0.75)

(ChunkerEvaluator) Sentence #491 from 00102045 from sent2

Text  : W przerwie zimowej nas zespół wzmocnili ( jak narazie )_ dwaj piłkarze piątoligowego LKS Rosanów -_ Dawid Boratyński oraz Jarek Pietrzak ,_ a_ także piłkarze Orła Parzęczew -_ Krzysztof Szabela ,_ Tomasz Jagielski (_ Kręty )_ ,_ Marcin Gawęda i_ Maciek Gawęda ._
Tokens: 1 2_______ 3______ 4__ 5_____ 6________ 7 8__ 9______ 10 11__ 12______ 13___________ 14_ 15_____ 16 17___ 18________ 19__ 20___ 21______ 22 23 24___ 25______ 26__ 27_______ 28 29_______ 30_____ 31 32____ 33_______ 34 35___ 36 37 38____ 39____ 40 41____ 42____ 43

Chunks:
  TruePositive nam [14,15] = LKS Rosanów (confidence=1.00)
  TruePositive nam [17,18] = Dawid Boratyński (confidence=1.00)
  TruePositive nam [20,21] = Jarek Pietrzak (confidence=1.00)
  TruePositive nam [26,27] = Orła Parzęczew (confidence=1.00)
  TruePositive nam [29,30] = Krzysztof Szabela (confidence=1.00)
  TruePositive nam [32,33] = Tomasz Jagielski (confidence=1.00)
  TruePositive nam [35,35] = Kręty (confidence=0.91)
  TruePositive nam [38,39] = Marcin Gawęda (confidence=1.00)
  TruePositive nam [41,42] = Maciek Gawęda (confidence=1.00)

(ChunkerEvaluator) Sentence #492 from 00102045 from sent3

Text  : W sobote 18 lutego o godz . 14 . 00 nasi piłkarze rozegrają pierwszy mecz kontrolny z_ A_ klasowym zespołem "_ Polonia "_ Andrzejów ._
Tokens: 1 2_____ 3_ 4_____ 5 6___ 7 8_ 9 10 11__ 12______ 13_______ 14______ 15__ 16_______ 17 18 19______ 20______ 21 22_____ 23 24_______ 25

Chunks:
  FalsePositive nam [18,18] = A (confidence=0.97) (incorrect boundry)
  FalsePositive nam [22,22] = Polonia (confidence=0.79) (incorrect boundry)
  FalsePositive nam [24,24] = Andrzejów (confidence=0.85) (incorrect boundry)
  FalseNegative nam [21,24] = " Polonia " Andrzejów

2017-06-14 20:06:32,863 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 35 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102076.xml
(ChunkerEvaluator) Sentence #493 from 00102076 from sent1

Text  : Zmiany , których próbą opisu i konceptualizacji są “ Młodzi i_ media ”_ ,_ dotyczą również obszaru badania kultury ._
Tokens: 1_____ 2 3______ 4____ 5____ 6 7_______________ 8_ 9 10____ 11 12___ 13 14 15_____ 16_____ 17_____ 18_____ 19_____ 20

Chunks:
  TruePositive nam [10,12] = Młodzi i media (confidence=0.99)

(ChunkerEvaluator) Sentence #494 from 00102076 from sent2

Text  : Dlatego uznali śmy , że udostępniany od początku na wolnych licencjach raport powinien być otwarty nie tylko na poziomie dystrybucji ._
Tokens: 1______ 2_____ 3__ 4 5_ 6___________ 7_ 8_______ 9_ 10_____ 11________ 12____ 13______ 14_ 15_____ 16_ 17___ 18 19______ 20_________ 21

Chunks:

(ChunkerEvaluator) Sentence #495 from 00102076 from sent3

Text  : Wybierając taką formę publikacji liczymy na to , że ta strona stanie się miejscem dyskusji na temat kulturowego i_ społecznego znaczenia nowych technologii komunikowania ._
Tokens: 1_________ 2___ 3____ 4_________ 5______ 6_ 7_ 8 9_ 10 11____ 12____ 13_ 14______ 15______ 16 17___ 18_________ 19 20_________ 21_______ 22____ 23_________ 24___________ 25

Chunks:

(ChunkerEvaluator) Sentence #496 from 00102076 from sent4

Text  : Jeśli więc znajdziecie trochę czasu , czytali ście raport i_ zechcecie go skomentować ,_ będziemy wdzięczni ._
Tokens: 1____ 2___ 3__________ 4_____ 5____ 6 7______ 8___ 9_____ 10 11_______ 12 13_________ 14 15______ 16_______ 17

Chunks:

(ChunkerEvaluator) Sentence #497 from 00102076 from sent5

Text  : Oczywiście przedsięwzięcie traktujemy też jako eksperyment - jesteśmy ciekawi ,_ na ile skuteczne może być otwarcie tego typu opracowań na recenzje spoza obszaru akademickego ._
Tokens: 1_________ 2______________ 3_________ 4__ 5___ 6__________ 7 8_______ 9______ 10 11 12_ 13_______ 14__ 15_ 16______ 17__ 18__ 19_______ 20 21______ 22___ 23_____ 24__________ 25

Chunks:

(ChunkerEvaluator) Sentence #498 from 00102076 from sent6

Text  : Jasne , sporo komentarzy znalazło się w sieci ( także na tym blogu )_ ,_ chcemy jednak sprawdzić ,_ czy uda się je jakoś uporządkować ._
Tokens: 1____ 2 3____ 4_________ 5_______ 6__ 7 8____ 9 10___ 11 12_ 13___ 14 15 16____ 17____ 18_______ 19 20_ 21_ 22_ 23 24___ 25__________ 26

Chunks:

2017-06-14 20:06:32,900 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 36 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102077.xml
(ChunkerEvaluator) Sentence #499 from 00102077 from sent1

Text  : To stwierdzenie dość banalne , ale w odniesieniu do rynku gier okazuje się odkrywcze ._
Tokens: 1_ 2___________ 3___ 4______ 5 6__ 7 8__________ 9_ 10___ 11__ 12_____ 13_ 14_______ 15

Chunks:

(ChunkerEvaluator) Sentence #500 from 00102077 from sent2

Text  : Najnowszy raport firmy NPD , poświęcony nowej generacji konsol do gier ,_ wylewa bowiem na producentów kubeł zimnej wody ._
Tokens: 1________ 2_____ 3____ 4__ 5 6_________ 7____ 8________ 9_____ 10 11__ 12 13____ 14____ 15 16_________ 17___ 18____ 19__ 20

Chunks:
  TruePositive nam [4,4] = NPD (confidence=1.00)

(ChunkerEvaluator) Sentence #501 from 00102077 from sent3

Text  : Konsole Sony PlayStation 3 i Microsoft Xbox 360 są promowane głównie przez pryzmat nowości technicznych :_ potężnej mocy obliczeniowej ,_ możliwości generowania obrazu wysokiej rozdzielczości (_ HD )_ ,_ itp ._
Tokens: 1______ 2___ 3__________ 4 5 6________ 7___ 8__ 9_ 10_______ 11_____ 12___ 13_____ 14_____ 15__________ 16 17______ 18__ 19___________ 20 21________ 22_________ 23____ 24______ 25____________ 26 27 28 29 30_ 31

Chunks:
  TruePositive nam [2,4] = Sony PlayStation 3 (confidence=1.00)
  TruePositive nam [6,8] = Microsoft Xbox 360 (confidence=1.00)
  TruePositive nam [27,27] = HD (confidence=0.99)

(ChunkerEvaluator) Sentence #502 from 00102077 from sent4

Text  : Z tej perspektywy dane przytoczone w raporcie Next Gen Functionality &_ Usage wyglądają dość interesująco ._
Tokens: 1 2__ 3__________ 4___ 5__________ 6 7_______ 8___ 9__ 10___________ 11 12___ 13_______ 14__ 15__________ 16

Chunks:
  FalsePositive nam [8,10] = Next Gen Functionality (confidence=1.00) (incorrect boundry)
  FalsePositive nam [12,12] = Usage (confidence=0.75) (incorrect boundry)
  FalseNegative nam [8,12] = Next Gen Functionality & Usage

(ChunkerEvaluator) Sentence #503 from 00102077 from sent5

Text  : Zaledwie 30 % użytkowników konsoli Xbox 360 wie , że konsola generuje obraz HD ._
Tokens: 1_______ 2_ 3 4___________ 5______ 6___ 7__ 8__ 9 10 11_____ 12______ 13___ 14 15

Chunks:
  TruePositive nam [6,7] = Xbox 360 (confidence=0.96)
  TruePositive nam [14,14] = HD (confidence=1.00)

(ChunkerEvaluator) Sentence #504 from 00102077 from sent6

Text  : Niewiele więcej , bo 40 % spośród ankietowanych posiadaczy PlayStation 3_ ma świadomość ,_ że posiada ona czytnik płyt Blu -_ ray (_ które w_ przyszłości prawdopodobnie zastąpią DVD )_ ._
Tokens: 1_______ 2_____ 3 4_ 5_ 6 7______ 8____________ 9_________ 10_________ 11 12 13________ 14 15 16_____ 17_ 18_____ 19__ 20_ 21 22_ 23 24___ 25 26_________ 27____________ 28______ 29_ 30 31

Chunks:
  TruePositive nam [20,22] = Blu - ray (confidence=1.00)
  TruePositive nam [29,29] = DVD (confidence=0.57)
  FalsePositive nam [10,10] = PlayStation (confidence=0.98) (incorrect boundry)
  FalseNegative nam [10,11] = PlayStation 3

(ChunkerEvaluator) Sentence #505 from 00102077 from sent7

Text  : A przecież to właśnie te funkcje miały decydować o zakupie urządzeń “_ nowej generacji ”_ ._
Tokens: 1 2_______ 3_ 4______ 5_ 6______ 7____ 8________ 9 10_____ 11______ 12 13___ 14_______ 15 16

Chunks:

(ChunkerEvaluator) Sentence #506 from 00102077 from sent8

Text  : Najwyraźniej więc użytkownicy - w odróżnieniu od producentów - nie zapomnieli ,_ że konsole do gier służą przede wszystkim rozrywce ._
Tokens: 1___________ 2___ 3__________ 4 5 6__________ 7_ 8__________ 9 10_ 11________ 12 13 14_____ 15 16__ 17___ 18____ 19_______ 20______ 21

Chunks:

(ChunkerEvaluator) Sentence #507 from 00102077 from sent9

Text  : Dlatego na rynku konsol stacjonarnych nieoczekiwanie przewodzi Nintendo Wii ,_ które nie posiada tak imponującej jak konkurencja specyfikacji technicznej ,_ ale wprowadzone w_ niej innowacje mają na celu wyłącznie urozmaicenie zabawy ._
Tokens: 1______ 2_ 3____ 4_____ 5____________ 6_____________ 7________ 8_______ 9__ 10 11___ 12_ 13_____ 14_ 15_________ 16_ 17_________ 18__________ 19_________ 20 21_ 22_________ 23 24__ 25_______ 26__ 27 28__ 29_______ 30__________ 31____ 32

Chunks:
  TruePositive nam [8,9] = Nintendo Wii (confidence=1.00)

2017-06-14 20:06:32,951 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 37 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102102.xml
(ChunkerEvaluator) Sentence #508 from 00102102 from sent1

Text  : 243 uczniów ozorkowskich szkół otrzyma stypendia socjalne przeznaczone na zakup pomocy naukowych ._
Tokens: 1__ 2______ 3___________ 4____ 5______ 6________ 7_______ 8___________ 9_ 10___ 11____ 12_______ 13

Chunks:

(ChunkerEvaluator) Sentence #509 from 00102102 from sent2

Text  : Pieniądze pochodzą z budżetu wojewody łódzkiego , a rozdzielać je będzie tutejszy magistrat ._
Tokens: 1________ 2_______ 3 4______ 5_______ 6________ 7 8 9_________ 10 11____ 12______ 13_______ 14

Chunks:

(ChunkerEvaluator) Sentence #510 from 00102102 from sent3

Text  : Pierwsze wypłaty nastąpią , niestety , dopiero w przyszłym miesiącu ._
Tokens: 1_______ 2______ 3_______ 4 5_______ 6 7______ 8 9________ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #511 from 00102102 from sent4

Text  : W tym roku o stypendia starało się 261 osób ._
Tokens: 1 2__ 3___ 4 5________ 6______ 7__ 8__ 9___ 10

Chunks:

(ChunkerEvaluator) Sentence #512 from 00102102 from sent5

Text  : 18 z nich nie spełniało kryteriów .
Tokens: 1_ 2 3___ 4__ 5________ 6________ 7

Chunks:

(ChunkerEvaluator) Sentence #513 from 00102102 from sent6

Text  : Pozostałym przyznano wsparcie w granicach od 76 do 128 złotych miesięcznie ._
Tokens: 1_________ 2________ 3_______ 4 5________ 6_ 7_ 8_ 9__ 10_____ 11_________ 12

Chunks:
  FalseNegative nam [10,10] = złotych

(ChunkerEvaluator) Sentence #514 from 00102102 from sent7

Text  : Pieniądze zostaną wypłacone w grudniu z wyrównaniem za cztery miesiące (_ od września do grudnia 2007 r_ ._ )_ ,_ a_ po raz drugi w_ czerwcu przyszłego roku -_ za sześć miesięcy (_ od stycznia do czerwca 2008 r_ ._ )_ ._
Tokens: 1________ 2______ 3________ 4 5______ 6 7__________ 8_ 9_____ 10______ 11 12 13______ 14 15_____ 16__ 17 18 19 20 21 22 23_ 24___ 25 26_____ 27________ 28__ 29 30 31___ 32______ 33 34 35______ 36 37_____ 38__ 39 40 41 42

Chunks:

(ChunkerEvaluator) Sentence #515 from 00102102 from sent8

Text  : Trzeba jednak przedstawić rachunki , potwierdzające zakup materiałów szkolnych i_ pomocy edukacyjnych ._
Tokens: 1_____ 2_____ 3__________ 4_______ 5 6_____________ 7____ 8_________ 9________ 10 11____ 12__________ 13

Chunks:

(ChunkerEvaluator) Sentence #516 from 00102102 from sent9

Text  : Mogą to być na przykład podręczniki , zeszyty , tornister ,_ plecak czy strój sportowy ._
Tokens: 1___ 2_ 3__ 4_ 5_______ 6__________ 7 8______ 9 10_______ 11 12____ 13_ 14___ 15______ 16

Chunks:

(ChunkerEvaluator) Sentence #517 from 00102102 from sent10

Text  : Kryterium przyznania pomocy socjalnej jest dochód na osobę w rodzinie -_ nie wyższy niż 351 zł ._
Tokens: 1________ 2_________ 3_____ 4________ 5___ 6_____ 7_ 8____ 9 10______ 11 12_ 13____ 14_ 15_ 16 17

Chunks:
  FalsePositive nam [16,16] = zł (confidence=1.00) (incorrect boundry)
  FalseNegative nam [16,17] = zł .

2017-06-14 20:06:32,993 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 38 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102105.xml
(ChunkerEvaluator) Sentence #518 from 00102105 from sent1

Text  : Zapraszamy na wernisaż wystawy malarstwa ozorkowianki Beaty Koszyki pn ._ "_ Tańczące anioły "_ ._
Tokens: 1_________ 2_ 3_______ 4______ 5________ 6___________ 7____ 8______ 9_ 10 11 12______ 13____ 14 15

Chunks:
  FalsePositive nam [7,10] = Beaty Koszyki pn . (confidence=0.99) (incorrect boundry)
  FalseNegative nam [6,6] = ozorkowianki
  FalseNegative nam [7,8] = Beaty Koszyki
  FalseNegative nam [12,13] = Tańczące anioły

(ChunkerEvaluator) Sentence #519 from 00102105 from sent2

Text  : Wystawę można oglądać do końca grudnia br .
Tokens: 1______ 2____ 3______ 4_ 5____ 6______ 7_ 8

Chunks:

2017-06-14 20:06:33,000 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 39 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102118.xml
(ChunkerEvaluator) Sentence #520 from 00102118 from sent1

Text  : Na pierwsze jesienne spotkanie udało się zaprosić Roberta , który przyjechał ze swoim Jamminem X1 -_ CR RTR ._
Tokens: 1_ 2_______ 3_______ 4________ 5____ 6__ 7_______ 8______ 9 10___ 11________ 12 13___ 14______ 15 16 17 18_ 19

Chunks:
  TruePositive nam [8,8] = Roberta (confidence=0.99)
  TruePositive nam [14,18] = Jamminem X1 - CR RTR (confidence=1.00)

(ChunkerEvaluator) Sentence #521 from 00102118 from sent2

Text  : Model ten , który znamy z zeszłorocznych treningów na torze Henpolu ,_ nieźle dawał sobie radę na ciasnym torze Stormdust ._
Tokens: 1____ 2__ 3 4____ 5____ 6 7_____________ 8________ 9_ 10___ 11_____ 12 13____ 14___ 15___ 16__ 17 18_____ 19___ 20_______ 21

Chunks:
  TruePositive nam [11,11] = Henpolu (confidence=1.00)
  TruePositive nam [20,20] = Stormdust (confidence=0.99)

(ChunkerEvaluator) Sentence #522 from 00102118 from sent3

Text  : Ponieważ Adam , Bazyl i Maciolus również jeździli bagusami 1_ :_ 8_ ,_ mogli śmy oglądać wspaniałe pojedynki czterech buggy ._
Tokens: 1_______ 2___ 3 4____ 5 6_______ 7______ 8_______ 9_______ 10 11 12 13 14___ 15_ 16_____ 17_______ 18_______ 19______ 20___ 21

Chunks:
  TruePositive nam [2,2] = Adam (confidence=1.00)
  TruePositive nam [4,4] = Bazyl (confidence=0.99)
  TruePositive nam [6,6] = Maciolus (confidence=1.00)

(ChunkerEvaluator) Sentence #523 from 00102118 from sent4

Text  : Model Maciolusa był największą atrakcją spotkania .
Tokens: 1____ 2________ 3__ 4_________ 5_______ 6________ 7

Chunks:
  TruePositive nam [2,2] = Maciolusa (confidence=0.82)

(ChunkerEvaluator) Sentence #524 from 00102118 from sent5

Text  : Jest to bezszczotkowa konwersja bagusa Hot Bodies Lightning 2 Pro Evo ,_ napędzana silnikiem Medusa serii Afterburner V2 i_ zasilana 6_ ogniwami A123 ._
Tokens: 1___ 2_ 3____________ 4________ 5_____ 6__ 7_____ 8________ 9 10_ 11_ 12 13_______ 14_______ 15____ 16___ 17_________ 18 19 20______ 21 22______ 23__ 24

Chunks:
  TruePositive nam [6,11] = Hot Bodies Lightning 2 Pro Evo (confidence=1.00)
  FalsePositive nam [15,15] = Medusa (confidence=0.93) (incorrect boundry)
  FalsePositive nam [17,18] = Afterburner V2 (confidence=0.98) (incorrect boundry)
  FalseNegative nam [15,18] = Medusa serii Afterburner V2
  FalseNegative nam [23,23] = A123

(ChunkerEvaluator) Sentence #525 from 00102118 from sent6

Text  : Całością zarządza regulator Mamba Monster Max V2 .
Tokens: 1_______ 2_______ 3________ 4____ 5______ 6__ 7_ 8

Chunks:
  FalsePositive nam [4,5] = Mamba Monster (confidence=1.00) (incorrect boundry)
  FalsePositive nam [6,7] = Max V2 (confidence=0.71) (incorrect boundry)
  FalseNegative nam [4,7] = Mamba Monster Max V2

(ChunkerEvaluator) Sentence #526 from 00102118 from sent7

Text  : Kolejnym modelem , który debiutował na torze , był Jammin '_ CRT ._ 5_ ,_ którym jeździł Jarek ._
Tokens: 1_______ 2______ 3 4____ 5_________ 6_ 7____ 8 9__ 10____ 11 12_ 13 14 15 16____ 17_____ 18___ 19

Chunks:
  TruePositive nam [18,18] = Jarek (confidence=1.00)
  FalsePositive nam [10,10] = Jammin (confidence=1.00) (incorrect boundry)
  FalsePositive nam [12,14] = CRT . 5 (confidence=0.98) (incorrect boundry)
  FalseNegative nam [10,14] = Jammin ' CRT . 5

(ChunkerEvaluator) Sentence #527 from 00102118 from sent8

Text  : Mały tragus 1 : 12 napędzany silniczkiem 0 . 12 ci prowadzi się całkiem dobrze ,_ a_ jego niewielkie rozmiary ułatwiają jazdę po ciasnym torze ._
Tokens: 1___ 2_____ 3 4 5_ 6________ 7__________ 8 9 10 11 12______ 13_ 14_____ 15____ 16 17 18__ 19________ 20______ 21_______ 22___ 23 24_____ 25___ 26

Chunks:

(ChunkerEvaluator) Sentence #528 from 00102118 from sent9

Text  : Niestety nie był w stanie podjąć rywalizacji z modelami 1_ :_ 8_ ,_ głównie za sprawą kiepskich umiejętności kierowcy ._
Tokens: 1_______ 2__ 3__ 4 5_____ 6_____ 7__________ 8 9_______ 10 11 12 13 14_____ 15 16____ 17_______ 18__________ 19______ 20

Chunks:

(ChunkerEvaluator) Sentence #529 from 00102118 from sent10

Text  : Spore zainteresowanie wzbudził też nowy model Huberta – wspinacz Axial AX10 Scorpion ._
Tokens: 1____ 2______________ 3_______ 4__ 5___ 6____ 7______ 8 9_______ 10___ 11__ 12______ 13

Chunks:
  TruePositive nam [7,7] = Huberta (confidence=1.00)
  FalsePositive nam [10,12] = Axial AX10 Scorpion (confidence=1.00) (incorrect boundry)
  FalseNegative nam [10,10] = Axial

(ChunkerEvaluator) Sentence #530 from 00102118 from sent11

Text  : Każdy próbował zmierzyć się tym modelem z małym torem skałkowym oraz hałdą piachu ._
Tokens: 1____ 2_______ 3_______ 4__ 5__ 6______ 7 8____ 9____ 10_______ 11__ 12___ 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #531 from 00102118 from sent12

Text  : Wspinaczka wychodziła najlepiej Bazylowi , ale wszyscy mieli sporo zabawy ._
Tokens: 1_________ 2_________ 3________ 4_______ 5 6__ 7______ 8____ 9____ 10____ 11

Chunks:
  TruePositive nam [4,4] = Bazylowi (confidence=1.00)

(ChunkerEvaluator) Sentence #532 from 00102118 from sent13

Text  : Tego dnia na torze pojawiło się też sporo modeli znanych z_ poprzednich spotkań ._
Tokens: 1___ 2___ 3_ 4____ 5_______ 6__ 7__ 8____ 9_____ 10_____ 11 12_________ 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #533 from 00102118 from sent14

Text  : Adam jeździł spalinowym buggy Hot Bodies Lightning Pro oraz bezszczotkowym Hot Bodies Cyclone D4 ._
Tokens: 1___ 2______ 3_________ 4____ 5__ 6_____ 7________ 8__ 9___ 10____________ 11_ 12____ 13_____ 14 15

Chunks:
  TruePositive nam [1,1] = Adam (confidence=1.00)
  TruePositive nam [5,8] = Hot Bodies Lightning Pro (confidence=1.00)
  TruePositive nam [11,14] = Hot Bodies Cyclone D4 (confidence=0.99)

(ChunkerEvaluator) Sentence #534 from 00102118 from sent15

Text  : Bazyl śmigał swoim odblaskowym bagusem LRP S8 BX .
Tokens: 1____ 2_____ 3____ 4__________ 5______ 6__ 7_ 8_ 9

Chunks:
  TruePositive nam [1,1] = Bazyl (confidence=0.57)
  FalsePositive nam [6,8] = LRP S8 BX (confidence=1.00) (incorrect boundry)
  FalseNegative nam [6,6] = LRP

(ChunkerEvaluator) Sentence #535 from 00102118 from sent16

Text  : Maciolus , oprócz wspomnianej konwersji , jeździł też spalinowym Hot Bodies Lightningiem oraz bezszczotkowym Associated B44 ._
Tokens: 1_______ 2 3_____ 4__________ 5________ 6 7______ 8__ 9_________ 10_ 11____ 12__________ 13__ 14____________ 15________ 16_ 17

Chunks:
  TruePositive nam [1,1] = Maciolus (confidence=0.88)
  TruePositive nam [10,12] = Hot Bodies Lightningiem (confidence=1.00)
  TruePositive nam [15,16] = Associated B44 (confidence=0.83)

2017-06-14 20:06:33,069 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 40 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102140.xml
(ChunkerEvaluator) Sentence #536 from 00102140 from sent1

Text  : Religia naszych przodków wywodzi się z indoeuropejskich religii politeistycznych ._
Tokens: 1______ 2______ 3_______ 4______ 5__ 6 7_______________ 8______ 9_______________ 10

Chunks:

(ChunkerEvaluator) Sentence #537 from 00102140 from sent2

Text  : Jak sama nazwa wskazuje wierzono w wielu równorzędnych bogów lub też w_ jednego głównego oraz resztę jako Jego uosobienia (_ czyli henoteizm )_ ._
Tokens: 1__ 2___ 3____ 4_______ 5_______ 6 7____ 8____________ 9____ 10_ 11_ 12 13_____ 14______ 15__ 16____ 17__ 18__ 19________ 20 21___ 22_______ 23 24

Chunks:

(ChunkerEvaluator) Sentence #538 from 00102140 from sent3

Text  : Niektórzy dla danego plemienia stali w wyższej randze ze względu na rodzaj wykonywanej pracy ._
Tokens: 1________ 2__ 3_____ 4________ 5____ 6 7______ 8_____ 9_ 10_____ 11 12____ 13_________ 14___ 15

Chunks:

(ChunkerEvaluator) Sentence #539 from 00102140 from sent4

Text  : Dla np . rolników znaczenie miała gleba , dla rybaków woda itp ._
Tokens: 1__ 2_ 3 4_______ 5________ 6____ 7____ 8 9__ 10_____ 11__ 12_ 13

Chunks:

(ChunkerEvaluator) Sentence #540 from 00102140 from sent5

Text  : Wynika także stąd fakt , iż nasi przodkowie boską siłę upatrywali w_ przyrodzie ._
Tokens: 1_____ 2____ 3___ 4___ 5 6_ 7___ 8_________ 9____ 10__ 11________ 12 13________ 14

Chunks:

(ChunkerEvaluator) Sentence #541 from 00102140 from sent6

Text  : Dlatego też religia naszych przodków była tzw . religią naturalną opartą na prawach przyrody ._
Tokens: 1______ 2__ 3______ 4______ 5_______ 6___ 7__ 8 9______ 10_______ 11____ 12 13_____ 14______ 15

Chunks:

(ChunkerEvaluator) Sentence #542 from 00102140 from sent7

Text  : Słowianie to nie tyko Polacy .
Tokens: 1________ 2_ 3__ 4___ 5_____ 6

Chunks:
  TruePositive nam [5,5] = Polacy (confidence=1.00)
  FalseNegative nam [1,1] = Słowianie

(ChunkerEvaluator) Sentence #543 from 00102140 from sent8

Text  : Słowian w świecie jest blisko pół miliarda , co stanowi ponad 5_ %_ populacji na ziemi ._
Tokens: 1______ 2 3______ 4___ 5_____ 6__ 7_______ 8 9_ 10_____ 11___ 12 13 14_______ 15 16___ 17

Chunks:
  FalseNegative nam [1,1] = Słowian

(ChunkerEvaluator) Sentence #544 from 00102140 from sent9

Text  : W ciągu ostatniego tysiąclecia Słowianie przestali być jednym narodem i_ podzielili się na szereg mniejszych ._
Tokens: 1 2____ 3_________ 4__________ 5________ 6________ 7__ 8_____ 9______ 10 11________ 12_ 13 14____ 15________ 16

Chunks:
  TruePositive nam [5,5] = Słowianie (confidence=0.92)

(ChunkerEvaluator) Sentence #545 from 00102140 from sent10

Text  : Na początku było ich trzy : na zachodzie , wschodzie i_ południu ._
Tokens: 1_ 2_______ 3___ 4__ 5___ 6 7_ 8________ 9 10_______ 11 12______ 13

Chunks:

(ChunkerEvaluator) Sentence #546 from 00102140 from sent11

Text  : Dlatego też dzisiaj dzieli się Słowian właśnie na te trzy grupy ._
Tokens: 1______ 2__ 3______ 4_____ 5__ 6______ 7______ 8_ 9_ 10__ 11___ 12

Chunks:
  TruePositive nam [6,6] = Słowian (confidence=0.98)

(ChunkerEvaluator) Sentence #547 from 00102140 from sent12

Text  : Do narodów Słowian zachodnich należą : Polacy , Czesi ,_ Słowacy ,_ Łużyczanie (_ jest to najmniejszy naród słowiański zamieszkujący Łużyce w_ Niemczech )_ ._
Tokens: 1_ 2______ 3______ 4_________ 5_____ 6 7_____ 8 9____ 10 11_____ 12 13________ 14 15__ 16 17_________ 18___ 19________ 20___________ 21____ 22 23_______ 24 25

Chunks:
  TruePositive nam [7,7] = Polacy (confidence=1.00)
  TruePositive nam [9,9] = Czesi (confidence=1.00)
  TruePositive nam [11,11] = Słowacy (confidence=1.00)
  TruePositive nam [13,13] = Łużyczanie (confidence=1.00)
  TruePositive nam [21,21] = Łużyce (confidence=0.98)
  TruePositive nam [23,23] = Niemczech (confidence=1.00)
  FalsePositive nam [3,3] = Słowian (confidence=0.84) (incorrect boundry)
  FalseNegative nam [3,4] = Słowian zachodnich

(ChunkerEvaluator) Sentence #548 from 00102140 from sent13

Text  : Do Słowian wschodnich należą : Rosjanie , Ukraińcy , Białorusini ,_ Łemkowie ._
Tokens: 1_ 2______ 3_________ 4_____ 5 6_______ 7 8_______ 9 10_________ 11 12______ 13

Chunks:
  TruePositive nam [6,6] = Rosjanie (confidence=0.95)
  TruePositive nam [8,8] = Ukraińcy (confidence=0.99)
  TruePositive nam [10,10] = Białorusini (confidence=1.00)
  TruePositive nam [12,12] = Łemkowie (confidence=0.99)
  FalsePositive nam [2,2] = Słowian (confidence=0.90) (incorrect boundry)
  FalseNegative nam [2,3] = Słowian wschodnich

(ChunkerEvaluator) Sentence #549 from 00102140 from sent14

Text  : Do Słowian południowych należą : Słoweńcy , Chorwaci , Bośniacy ,_ Serbowie ,_ Czarnogórcy ,_ Macedończycy ,_ Bułgarzy ._
Tokens: 1_ 2______ 3___________ 4_____ 5 6_______ 7 8_______ 9 10______ 11 12______ 13 14_________ 15 16__________ 17 18______ 19

Chunks:
  TruePositive nam [6,6] = Słoweńcy (confidence=0.98)
  TruePositive nam [8,8] = Chorwaci (confidence=0.99)
  TruePositive nam [10,10] = Bośniacy (confidence=1.00)
  TruePositive nam [12,12] = Serbowie (confidence=1.00)
  TruePositive nam [14,14] = Czarnogórcy (confidence=0.99)
  TruePositive nam [16,16] = Macedończycy (confidence=1.00)
  TruePositive nam [18,18] = Bułgarzy (confidence=0.99)
  FalsePositive nam [2,2] = Słowian (confidence=0.60) (incorrect boundry)
  FalseNegative nam [2,3] = Słowian południowych

(ChunkerEvaluator) Sentence #550 from 00102140 from sent15

Text  : W roku 1168 Duńczycy zniszczyli ostatnią na świecie czynną świątynię Słowian ,_ która mieściła się w_ Arkonie (_ dzisiejsze Niemcy )_ ._
Tokens: 1 2___ 3___ 4_______ 5_________ 6_______ 7_ 8______ 9_____ 10_______ 11_____ 12 13___ 14______ 15_ 16 17_____ 18 19________ 20____ 21 22

Chunks:
  TruePositive nam [4,4] = Duńczycy (confidence=0.97)
  TruePositive nam [11,11] = Słowian (confidence=1.00)
  TruePositive nam [17,17] = Arkonie (confidence=1.00)
  TruePositive nam [20,20] = Niemcy (confidence=0.99)

(ChunkerEvaluator) Sentence #551 from 00102140 from sent16

Text  : Jednak całkowita chrystianizacja naszych przodków rozpoczęła się po wybudowaniu kościołów i_ przez to wprowadzeniu tzw ._ sieci parafialnej ._
Tokens: 1_____ 2________ 3______________ 4______ 5_______ 6_________ 7__ 8_ 9__________ 10_______ 11 12___ 13 14__________ 15_ 16 17___ 18_________ 19

Chunks:

(ChunkerEvaluator) Sentence #552 from 00102140 from sent17

Text  : Ostatnie prasłowiańskie rytuały odbywały się w Polsce aż do końca średniowiecza ,_ kiedy to stały się karalne ._
Tokens: 1_______ 2_____________ 3______ 4_______ 5__ 6 7_____ 8_ 9_ 10___ 11___________ 12 13___ 14 15___ 16_ 17_____ 18

Chunks:
  TruePositive nam [7,7] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #553 from 00102140 from sent18

Text  : Rodzimowiercze praktyki były jeszcze bardzo długo praktykowane ( np ._ ofiarę składano jeszcze w_ XIX wieku )_ i_ w_ zasadzie dzięki wąskiej grupie ludzi przetrwały one do dzisiaj ._
Tokens: 1_____________ 2_______ 3___ 4______ 5_____ 6____ 7___________ 8 9_ 10 11____ 12______ 13_____ 14 15_ 16___ 17 18 19 20______ 21____ 22_____ 23____ 24___ 25________ 26_ 27 28_____ 29

Chunks:

(ChunkerEvaluator) Sentence #554 from 00102140 from sent19

Text  : Nasi przodkowie dzielili swych bogów na 3 główne grupy :_ władzy zwierzchniej ,_ walki zbrojnej oraz pomyślności gospodarczej ._
Tokens: 1___ 2_________ 3_______ 4____ 5____ 6_ 7 8_____ 9____ 10 11____ 12__________ 13 14___ 15______ 16__ 17_________ 18__________ 19

Chunks:

(ChunkerEvaluator) Sentence #555 from 00102140 from sent20

Text  : W związku z masową chrystianizacją na początku drugiego tysiąclecia naszej ery wiele zabytków dawnej kultury Słowian zostało barbarzyńsko zniszczone ._
Tokens: 1 2______ 3 4_____ 5______________ 6_ 7_______ 8_______ 9__________ 10____ 11_ 12___ 13______ 14____ 15_____ 16_____ 17_____ 18__________ 19________ 20

Chunks:
  TruePositive nam [16,16] = Słowian (confidence=0.98)

(ChunkerEvaluator) Sentence #556 from 00102140 from sent21

Text  : Dzisiaj źródeł rodzimej wiary naszych przodków jest niewiele - najstarsze pochodzą z_ VI wieku ._
Tokens: 1______ 2_____ 3_______ 4____ 5______ 6_______ 7___ 8_______ 9 10________ 11______ 12 13 14___ 15

Chunks:

(ChunkerEvaluator) Sentence #557 from 00102140 from sent22

Text  : Jednak dociekliwi badacze i historycy na podstawie tych materiałów oraz podań i_ wierzeń ludowych są w_ stanie odtworzyć zarys religii przodków ._
Tokens: 1_____ 2_________ 3______ 4 5________ 6_ 7________ 8___ 9_________ 10__ 11___ 12 13_____ 14______ 15 16 17____ 18_______ 19___ 20_____ 21______ 22

Chunks:

(ChunkerEvaluator) Sentence #558 from 00102140 from sent23

Text  : Jedno jest pewne i namacalne : starożytni Słowianie pozostawili po sobie kilka kamiennych posągów m_ ._ in ._ wyłowiony z_ dna rzeki (_ w_ 1848 r_ ._ )_ czterotwarzowy Świętowit ze Zbrucza ._
Tokens: 1____ 2___ 3____ 4 5________ 6 7_________ 8________ 9__________ 10 11___ 12___ 13________ 14_____ 15 16 17 18 19_______ 20 21_ 22___ 23 24 25__ 26 27 28 29____________ 30_______ 31 32_____ 33

Chunks:
  TruePositive nam [8,8] = Słowianie (confidence=0.94)
  TruePositive nam [30,30] = Świętowit (confidence=0.99)
  TruePositive nam [32,32] = Zbrucza (confidence=0.98)

(ChunkerEvaluator) Sentence #559 from 00102140 from sent24

Text  : Mało kto wie , iż najświętszym symbolem dla Słowian była swastyka ._
Tokens: 1___ 2__ 3__ 4 5_ 6___________ 7_______ 8__ 9______ 10__ 11______ 12

Chunks:
  TruePositive nam [9,9] = Słowian (confidence=0.99)

(ChunkerEvaluator) Sentence #560 from 00102140 from sent25

Text  : Jest to bardzo stary symbol pomyślności , Słońca , ognia i_ światła ._
Tokens: 1___ 2_ 3_____ 4____ 5_____ 6__________ 7 8_____ 9 10___ 11 12_____ 13

Chunks:
  TruePositive nam [8,8] = Słońca (confidence=1.00)

(ChunkerEvaluator) Sentence #561 from 00102140 from sent26

Text  : Nasi przodkowie rysowali ją nad wejściem do swych domostw ,_ by ta uchroniła rodzinę przed nieszczęściami i_ zapewniła dostatek ._
Tokens: 1___ 2_________ 3_______ 4_ 5__ 6_______ 7_ 8____ 9______ 10 11 12 13_______ 14_____ 15___ 16____________ 17 18_______ 19______ 20

Chunks:

(ChunkerEvaluator) Sentence #562 from 00102140 from sent27

Text  : Była tym , czym dzisiaj krzyż dla Chrześcijan .
Tokens: 1___ 2__ 3 4___ 5______ 6____ 7__ 8__________ 9

Chunks:
  FalsePositive nam [8,8] = Chrześcijan (confidence=0.96) (incorrect boundry)

2017-06-14 20:06:33,188 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 41 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102149.xml
(ChunkerEvaluator) Sentence #563 from 00102149 from sent1

Text  : W oparciu o zróżnicowanie kątów padania promieni słonecznych na powierzchnię Ziemi wyznaczone zostały strefy oświetlenia :_ 1_ ._ jedna strefa międzyzwrotnikowa ,_ 2_ ._ dwie symetrycznie położone strefy umiarkowanych szerokości ,_ 3_ ._ dwie strefy okołobiegunowe ._
Tokens: 1 2______ 3 4____________ 5____ 6______ 7_______ 8__________ 9_ 10__________ 11___ 12________ 13_____ 14____ 15_________ 16 17 18 19___ 20____ 21_______________ 22 23 24 25__ 26__________ 27______ 28____ 29___________ 30________ 31 32 33 34__ 35____ 36____________ 37

Chunks:
  TruePositive nam [11,11] = Ziemi (confidence=0.96)

(ChunkerEvaluator) Sentence #564 from 00102149 from sent2

Text  : Granice stref przebiegają wzdłuż zwrotników i kół podbiegunowych .
Tokens: 1______ 2____ 3__________ 4_____ 5_________ 6 7__ 8_____________ 9

Chunks:

(ChunkerEvaluator) Sentence #565 from 00102149 from sent3

Text  : Granicę strefy międzyzwrotnikowej / gorącej / stanowią dwa zwrotniki ._
Tokens: 1______ 2_____ 3_________________ 4 5______ 6 7_______ 8__ 9________ 10

Chunks:

(ChunkerEvaluator) Sentence #566 from 00102149 from sent4

Text  : Strefa międzyzwrotnikowa wyróżnia się wśród pozostałych tym , że tylko na jej obszarze promienie słoneczne padają pod kątem prostym na powierzchnię Ziemi ,_ a_ Słońce może górować w_ zenicie ._
Tokens: 1_____ 2________________ 3_______ 4__ 5____ 6__________ 7__ 8 9_ 10___ 11 12_ 13______ 14_______ 15_______ 16____ 17_ 18___ 19_____ 20 21__________ 22___ 23 24 25____ 26__ 27_____ 28 29_____ 30

Chunks:
  TruePositive nam [22,22] = Ziemi (confidence=1.00)
  TruePositive nam [25,25] = Słońce (confidence=1.00)

(ChunkerEvaluator) Sentence #567 from 00102149 from sent5

Text  : Granicę stref umiarkowanych szerokości geograficznych stanowią zwrotniki i koła podbiegunowe ._
Tokens: 1______ 2____ 3____________ 4_________ 5_____________ 6_______ 7________ 8 9___ 10__________ 11

Chunks:

(ChunkerEvaluator) Sentence #568 from 00102149 from sent6

Text  : Strefę przejściową cechuje największe zróżnicowanie klimatyczne w ciągu roku ._
Tokens: 1_____ 2__________ 3______ 4_________ 5____________ 6__________ 7 8____ 9___ 10

Chunks:

(ChunkerEvaluator) Sentence #569 from 00102149 from sent7

Text  : Granicą stref okołobiegunowych są koła podbiegunowe .
Tokens: 1______ 2____ 3_______________ 4_ 5___ 6___________ 7

Chunks:

(ChunkerEvaluator) Sentence #570 from 00102149 from sent8

Text  : W strefie okołobiegunowej / zimnej / występuje zjawisko dni i_ nocy polarnych ,_ a_ w_ rejonie kół podbiegunowych na wiosnę oraz jesienią występują białe noce ._
Tokens: 1 2______ 3______________ 4 5_____ 6 7________ 8_______ 9__ 10 11__ 12_______ 13 14 15 16_____ 17_ 18____________ 19 20____ 21__ 22______ 23_______ 24___ 25__ 26

Chunks:

(ChunkerEvaluator) Sentence #571 from 00102149 from sent9

Text  : Zjawisko to polega na przechodzeniu zmierzchu w świt bez zapadania ciemności ._
Tokens: 1_______ 2_ 3_____ 4_ 5____________ 6________ 7 8___ 9__ 10_______ 11_______ 12

Chunks:

(ChunkerEvaluator) Sentence #572 from 00102149 from sent10

Text  : Przyczyną białych nocy jest „ zachodzenie ” Słońca nie głębiej niż 10º poniżej linii horyzontu i_ docieranie promieniowania słonecznego rozproszonego ,_ które nie pozwala na zapadnięcie nocnych ciemności ._
Tokens: 1________ 2______ 3___ 4___ 5 6__________ 7 8_____ 9__ 10_____ 11_ 12_ 13_____ 14___ 15_______ 16 17________ 18____________ 19_________ 20___________ 21 22___ 23_ 24_____ 25 26_________ 27_____ 28_______ 29

Chunks:
  TruePositive nam [8,8] = Słońca (confidence=0.99)

(ChunkerEvaluator) Sentence #573 from 00102149 from sent11

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #574 from 00102149 from sent12

Text  : W której strefie oświetlenia Ziemi dni trwają dłużej niż 24 godziny ?_
Tokens: 1 2_____ 3______ 4__________ 5____ 6__ 7_____ 8_____ 9__ 10 11_____ 12

Chunks:
  TruePositive nam [5,5] = Ziemi (confidence=0.81)

(ChunkerEvaluator) Sentence #575 from 00102149 from sent13

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #576 from 00102149 from sent14

Text  : W ktorej strefie oświetlenia Ziemi sa najmniejsze różnice w długości trwania dnia i_ nocy ?_
Tokens: 1 2_____ 3______ 4__________ 5____ 6_ 7__________ 8______ 9 10______ 11_____ 12__ 13 14__ 15

Chunks:
  TruePositive nam [5,5] = Ziemi (confidence=0.99)

(ChunkerEvaluator) Sentence #577 from 00102149 from sent15

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #578 from 00102149 from sent16

Text  : Ile razy w roku promienie słoneczne padają pod kątem prostym na zwrotnik Raka ?_
Tokens: 1__ 2___ 3 4___ 5________ 6________ 7_____ 8__ 9____ 10_____ 11 12______ 13__ 14

Chunks:
  TruePositive nam [13,13] = Raka (confidence=1.00)

2017-06-14 20:06:33,250 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 42 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102155.xml
(ChunkerEvaluator) Sentence #579 from 00102155 from sent1

Text  : Każdy graf prosty , planarny jest 5 - kolorowy ._
Tokens: 1____ 2___ 3_____ 4 5_______ 6___ 7 8 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #580 from 00102155 from sent2

Text  : Dowód
Tokens: 1____

Chunks:

(ChunkerEvaluator) Sentence #581 from 00102155 from sent3

Text  : G prosty , planarny , n - liczba wierzchołków wynika z_ twierdzenia Eulera o_ wielościanach ._
Tokens: 1 2_____ 3 4_______ 5 6 7 8_____ 9___________ 10____ 11 12_________ 13____ 14 15___________ 16

Chunks:
  TruePositive nam [13,13] = Eulera (confidence=0.99)

(ChunkerEvaluator) Sentence #582 from 00102155 from sent4

Text  : Załóżmy , że .
Tokens: 1______ 2 3_ 4

Chunks:

(ChunkerEvaluator) Sentence #583 from 00102155 from sent5

Text  : Dowód przez indukcje po liczbie wierzchołków .
Tokens: 1____ 2____ 3_______ 4_ 5______ 6___________ 7

Chunks:

(ChunkerEvaluator) Sentence #584 from 00102155 from sent6

Text  : Dla n = 5 jak wyżej .
Tokens: 1__ 2 3 4 5__ 6____ 7

Chunks:

(ChunkerEvaluator) Sentence #585 from 00102155 from sent7

Text  : Założenie indukcyjne : Twierdzenie zachodzi dla grafów mających mniej niż n_ wierzchołków ._
Tokens: 1________ 2_________ 3 4__________ 5_______ 6__ 7_____ 8_______ 9____ 10_ 11 12__________ 13

Chunks:

(ChunkerEvaluator) Sentence #586 from 00102155 from sent8

Text  : Teza indukcyjna : Twierdzenie zachodzi dla grafów mających n wierzchołków (_ n_ >_ 5_ )_ ._
Tokens: 1___ 2_________ 3 4__________ 5_______ 6__ 7_____ 8_______ 9 10__________ 11 12 13 14 15 16

Chunks:

(ChunkerEvaluator) Sentence #587 from 00102155 from sent9

Text  : Na mocy wniosku z twierdzenia Eulera o wielościanach istnieje takie ,_ że ._
Tokens: 1_ 2___ 3______ 4 5__________ 6_____ 7 8____________ 9_______ 10___ 11 12 13

Chunks:
  TruePositive nam [6,6] = Eulera (confidence=0.99)

(ChunkerEvaluator) Sentence #588 from 00102155 from sent10

Text  : 1 . deg ( v ) < 5 .
Tokens: 1 2 3__ 4 5 6 7 8 9

Chunks:

(ChunkerEvaluator) Sentence #589 from 00102155 from sent11

Text  : Rozważmy graf G - v .
Tokens: 1_______ 2___ 3 4 5 6

Chunks:
  FalsePositive nam [3,5] = G - v (confidence=0.98) (incorrect boundry)

(ChunkerEvaluator) Sentence #590 from 00102155 from sent12

Text  : Jest prosty , planarny , ma n - 1 wierzchołków ._
Tokens: 1___ 2_____ 3 4_______ 5 6_ 7 8 9 10__________ 11

Chunks:

(ChunkerEvaluator) Sentence #591 from 00102155 from sent13

Text  : Na mocy założenia indukcyjnego istnieje kolorowanie C grafu G -_ v_ za pomocą 5_ kolorów ._
Tokens: 1_ 2___ 3________ 4___________ 5_______ 6__________ 7 8____ 9 10 11 12 13____ 14 15_____ 16

Chunks:
  FalsePositive nam [9,11] = G - v (confidence=0.69) (incorrect boundry)

(ChunkerEvaluator) Sentence #592 from 00102155 from sent14

Text  : Niech v 1 , . . . , v k_ będą wierzchołkami sąsiednimi dla v_ w_ G_ (_ k_ <_ 5_ )_ ._
Tokens: 1____ 2 3 4 5 6 7 8 9 10 11__ 12___________ 13________ 14_ 15 16 17 18 19 20 21 22 23

Chunks:
  FalsePositive nam [17,17] = G (confidence=0.53) (incorrect boundry)

(ChunkerEvaluator) Sentence #593 from 00102155 from sent15

Text  : Znajdziemy kolor różny od kolorów c i dla .
Tokens: 1_________ 2____ 3____ 4_ 5______ 6 7 8__ 9

Chunks:

(ChunkerEvaluator) Sentence #594 from 00102155 from sent16

Text  : Nadajemy ten kolor wierzchołkowi v .
Tokens: 1_______ 2__ 3____ 4____________ 5 6

Chunks:

(ChunkerEvaluator) Sentence #595 from 00102155 from sent17

Text  : 2 . deg ( v ) = 5 .
Tokens: 1 2 3__ 4 5 6 7 8 9

Chunks:

(ChunkerEvaluator) Sentence #596 from 00102155 from sent18

Text  : Niech v 1 , . . . , v 5_ będą wszystkimi wierzchołkami sąsiednimi dla v_ ._
Tokens: 1____ 2 3 4 5 6 7 8 9 10 11__ 12________ 13___________ 14________ 15_ 16 17

Chunks:

(ChunkerEvaluator) Sentence #597 from 00102155 from sent19

Text  : Skoro G jest planarny , to nie zawiera grafu K_ 5_ ,_ a_ stąd istnieje i_ <_ j_ takie ,_ że wierzchołki v_ i_ ,_ v_ j_ nie są sąsiednie ._
Tokens: 1____ 2 3___ 4_______ 5 6_ 7__ 8______ 9____ 10 11 12 13 14__ 15______ 16 17 18 19___ 20 21 22_________ 23 24 25 26 27 28_ 29 30_______ 31

Chunks:
  FalsePositive nam [2,2] = G (confidence=0.66) (incorrect boundry)
  FalsePositive nam [10,11] = K 5 (confidence=0.92) (incorrect boundry)

(ChunkerEvaluator) Sentence #598 from 00102155 from sent20

Text  : Rozważmy graf G' = ( Gvv i ) vv j_ ._
Tokens: 1_______ 2___ 3_ 4 5 6__ 7 8 9_ 10 11

Chunks:
  FalsePositive nam [3,3] = G' (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #599 from 00102155 from sent21

Text  : G ' jest grafem planarnym .
Tokens: 1 2 3___ 4_____ 5________ 6

Chunks:

(ChunkerEvaluator) Sentence #600 from 00102155 from sent22

Text  : Po usunięciu powstałych krawędzi wielokrotnych G ' jest prosty ._
Tokens: 1_ 2________ 3_________ 4_______ 5____________ 6 7 8___ 9_____ 10

Chunks:
  FalsePositive nam [6,6] = G (confidence=0.79) (incorrect boundry)

(ChunkerEvaluator) Sentence #601 from 00102155 from sent23

Text  : G ' ma mniej niż n wierzchołków .
Tokens: 1 2 3_ 4____ 5__ 6 7___________ 8

Chunks:

(ChunkerEvaluator) Sentence #602 from 00102155 from sent24

Text  : Na mocy założenia indukcyjnego istnieje kolorowanie C grafu G '_ za pomocą 5_ kolorów ._
Tokens: 1_ 2___ 3________ 4___________ 5_______ 6__________ 7 8____ 9 10 11 12____ 13 14_____ 15

Chunks:

(ChunkerEvaluator) Sentence #603 from 00102155 from sent25

Text  : Tworzymy kolorowanie grafu G - v w ten sposób ,_ że wierzchołki v_ i_ ,_ v_ j_ mają kolor wspólnego wierzchołka w_ G' ._
Tokens: 1_______ 2__________ 3____ 4 5 6 7 8__ 9_____ 10 11 12_________ 13 14 15 16 17 18__ 19___ 20_______ 21_________ 22 23 24

Chunks:
  FalsePositive nam [4,6] = G - v (confidence=0.69) (incorrect boundry)
  FalsePositive nam [23,23] = G' (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #604 from 00102155 from sent26

Text  : Najwyżej 4 kolory występują w ciągu c ( v 1_ )_ ,_ ._ ._ ._ ,_ c_ (_ 5_ )_ bo c_ (_ v_ i_ )_ =_ c_ (_ v_ j_ )_ ._
Tokens: 1_______ 2 3_____ 4________ 5 6____ 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33

Chunks:

2017-06-14 20:06:33,336 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 43 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102160.xml
(ChunkerEvaluator) Sentence #605 from 00102160 from sent1

Text  : Uchwała Nr 143 / XI / 2011 Rady Miasta Lublin z_ dnia 30 czerwca 2011 r_ ._ w_ sprawie zatwierdzenia do realizacji oraz zabezpieczenia środków finansowych w_ budżecie Gminy Lublin na lata 2011 -_ 2012 na realizację projektu "_ SzOK przez cały rok "_ ._
Tokens: 1______ 2_ 3__ 4 5_ 6 7___ 8___ 9_____ 10____ 11 12__ 13 14_____ 15__ 16 17 18 19_____ 20___________ 21 22________ 23__ 24____________ 25_____ 26_________ 27 28______ 29___ 30____ 31 32__ 33__ 34 35__ 36 37________ 38______ 39 40__ 41___ 42__ 43_ 44 45

Chunks:
  TruePositive nam [30,30] = Lublin (confidence=0.97)
  FalsePositive nam [8,9] = Rady Miasta (confidence=0.94) (incorrect boundry)
  FalsePositive nam [10,10] = Lublin (confidence=0.87) (incorrect boundry)
  FalsePositive nam [40,40] = SzOK (confidence=0.95) (incorrect boundry)
  FalseNegative nam [8,10] = Rady Miasta Lublin
  FalseNegative nam [40,43] = SzOK przez cały rok

(ChunkerEvaluator) Sentence #606 from 00102160 from sent2

Text  : Na podstawie art 18 ust . 1 ustawy z dnia 8_ marca 1990 r_ ._ o_ samorządzie gminnym (_ j_ ._ t_ ._ Dz ._ U_ ._ z_ 2001 r_ ._ Nr 142 ,_ poz ._ 1591 z_ późn ._ zm ._ )_
Tokens: 1_ 2________ 3__ 4_ 5__ 6 7 8_____ 9 10__ 11 12___ 13__ 14 15 16 17_________ 18_____ 19 20 21 22 23 24 25 26 27 28 29__ 30 31 32 33_ 34 35_ 36 37__ 38 39__ 40 41 42 43

Chunks:
  TruePositive nam [24,27] = Dz . U . (confidence=0.96)
  FalseNegative nam [8,18] = ustawy z dnia 8 marca 1990 r . o samorządzie gminnym

(ChunkerEvaluator) Sentence #607 from 00102160 from sent3

Text  : - Rada Miasta Lublin uchwala , co następuje :
Tokens: 1 2___ 3_____ 4_____ 5______ 6 7_ 8________ 9

Chunks:
  TruePositive nam [2,4] = Rada Miasta Lublin (confidence=1.00)

(ChunkerEvaluator) Sentence #608 from 00102160 from sent4

Text  : § 1 Zatwierdza do realizacji w okresie od 1 września 2011 r_ ._ do 30 czerwca 2012 r_ ._ projekt "_ SzOK przez cały rok "_ złożony w_ ramach konkursu otwartego nr 1_ /_ POKL /_ 9_ ._ 1_ ._ 2_ /_ 2011 ,_ współfinansowany ze środków Europejskiego Funduszu Społecznego i_ budżetu państwa w_ ramach Programu Operacyjnego Kapitał Ludzki 2007 -_ 2013 ,_ Priorytetu IX Rozwój wykształcenia i_ kompetencji w_ regionach ,_ Działania 9_ ._ 1_ Wyrównywanie szans edukacyjnych i_ zapewnienie wysokiej jakości usług edukacyjnych świadczonych w_ systemie oświaty ,_ Poddziałania 9_ ._ 1_ ._ 2_ Wyrównywanie szans edukacyjnych uczniów z__ grup o__ utrudnionym dostępie do_ edukacji oraz zmniejszanie różnic w__ jakości usług edukacyjnych .__
Tokens: 1 2 3_________ 4_ 5_________ 6 7______ 8_ 9 10______ 11__ 12 13 14 15 16_____ 17__ 18 19 20_____ 21 22__ 23___ 24__ 25_ 26 27_____ 28 29____ 30______ 31_______ 32 33 34 35__ 36 37 38 39 40 41 42 43__ 44 45______________ 46 47_____ 48___________ 49______ 50_________ 51 52_____ 53_____ 54 55____ 56______ 57__________ 58_____ 59____ 60__ 61 62__ 63 64________ 65 66____ 67___________ 68 69_________ 70 71_______ 72 73_______ 74 75 76 77__________ 78___ 79__________ 80 81_________ 82______ 83_____ 84___ 85__________ 86__________ 87 88______ 89_____ 90 91__________ 92 93 94 95 96 97__________ 98___ 99__________ 100____ 101 102_ 103 104________ 105_____ 106 107_____ 108_ 109_________ 110___ 111 112____ 113__ 114_________ 115

Chunks:
  TruePositive nam [48,50] = Europejskiego Funduszu Społecznego (confidence=1.00)
  TruePositive nam [56,59] = Programu Operacyjnego Kapitał Ludzki (confidence=0.93)
  FalsePositive nam [22,22] = SzOK (confidence=0.94) (incorrect boundry)
  FalsePositive nam [64,66] = Priorytetu IX Rozwój (confidence=1.00) (incorrect boundry)
  FalsePositive nam [73,77] = Działania 9 . 1 Wyrównywanie (confidence=0.93) (incorrect boundry)
  FalsePositive nam [91,91] = Poddziałania (confidence=0.96) (incorrect boundry)
  FalseNegative nam [22,25] = SzOK przez cały rok

(ChunkerEvaluator) Sentence #609 from 00102160 from sent5

Text  : § 2 Zabezpiecza w budżecie Gminy Lublin na lata 2011 -_ 2012 środki finansowe na realizację projektu "_ SzOK przez cały rok "_ w_ kwocie 259 601 ,_ 00 PLN (_ słownie :_ dwieście pięćdziesiąt dziewięć tysięcy sześćset jeden złotych )_ ,_ w_ tym w_ roku 2011 kwoty 139 346 ,_ 00 PLN (_ słownie :_ sto trzydzieści dziewięć tysięcy trzysta czterdzieści sześć złotych )_ i_ w_ roku 2012 kwoty 120 255 ,_ 00 PLN (_ słownie :_ sto dwadzieścia tysięcy dwieście pięćdziesiąt pięć złotych )_ ._
Tokens: 1 2 3__________ 4 5_______ 6____ 7_____ 8_ 9___ 10__ 11 12__ 13____ 14_______ 15 16________ 17______ 18 19__ 20___ 21__ 22_ 23 24 25____ 26_ 27_ 28 29 30_ 31 32_____ 33 34______ 35__________ 36______ 37_____ 38______ 39___ 40_____ 41 42 43 44_ 45 46__ 47__ 48___ 49_ 50_ 51 52 53_ 54 55_____ 56 57_ 58_________ 59______ 60_____ 61_____ 62__________ 63___ 64_____ 65 66 67 68__ 69__ 70___ 71_ 72_ 73 74 75_ 76 77_____ 78 79_ 80_________ 81_____ 82______ 83__________ 84__ 85_____ 86 87

Chunks:
  TruePositive nam [7,7] = Lublin (confidence=0.97)
  TruePositive nam [19,22] = SzOK przez cały rok (confidence=0.96)
  TruePositive nam [30,30] = PLN (confidence=0.98)
  TruePositive nam [53,53] = PLN (confidence=0.98)
  TruePositive nam [64,64] = złotych (confidence=0.78)
  TruePositive nam [75,75] = PLN (confidence=0.98)
  TruePositive nam [85,85] = złotych (confidence=0.86)
  FalseNegative nam [40,40] = złotych

2017-06-14 20:06:33,420 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 44 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102221.xml
(ChunkerEvaluator) Sentence #610 from 00102221 from sent1

Text  : 4 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #611 from 00102221 from sent2

Text  : Do przejazdu na koszt wojska w przypadku , o którym mowa w_ ust ._ 1_ pkt 2_ ,_ żołnierze mają prawo jeden raz w_ miesiącu ._
Tokens: 1_ 2________ 3_ 4____ 5_____ 6 7________ 8 9 10____ 11__ 12 13_ 14 15 16_ 17 18 19_______ 20__ 21___ 22___ 23_ 24 25______ 26

Chunks:

(ChunkerEvaluator) Sentence #612 from 00102221 from sent3

Text  : § 4 . 1 .
Tokens: 1 2 3 4 5

Chunks:

(ChunkerEvaluator) Sentence #613 from 00102221 from sent4

Text  : Przejazd na koszt wojska obejmuje przejazd najkrótszą trasą środkami publicznego transportu zbiorowego kolejowego w_ klasie 2_ ,_ w_ pociągach osobowych ,_ pospiesznych i_ ekspresowych ,_ oraz autobusowego w_ komunikacji zwykłej i_ przyspieszonej albo łącznie transportem kolejowym i_ autobusowym ,_ na podstawie biletów jednorazowych ,_ z_ uwzględnieniem posiadanych przez żołnierza uprawnień do ulgowych przejazdów publicznym transportem zbiorowym ._
Tokens: 1_______ 2_ 3____ 4_____ 5_______ 6_______ 7_________ 8____ 9_______ 10_________ 11________ 12________ 13________ 14 15____ 16 17 18 19_______ 20_______ 21 22__________ 23 24__________ 25 26__ 27__________ 28 29_________ 30_____ 31 32____________ 33__ 34_____ 35_________ 36_______ 37 38_________ 39 40 41_______ 42_____ 43___________ 44 45 46____________ 47_________ 48___ 49_______ 50_______ 51 52______ 53________ 54________ 55_________ 56_______ 57

Chunks:

(ChunkerEvaluator) Sentence #614 from 00102221 from sent5

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #615 from 00102221 from sent6

Text  : Przejazd na koszt wojska :
Tokens: 1_______ 2_ 3____ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #616 from 00102221 from sent7

Text  : 1 ) obejmuje dopłaty w pociągach objętych dopłatą ;
Tokens: 1 2 3_______ 4______ 5 6________ 7_______ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #617 from 00102221 from sent8

Text  : 2 ) nie obejmuje opłat dodatkowych .
Tokens: 1 2 3__ 4_______ 5____ 6__________ 7

Chunks:

(ChunkerEvaluator) Sentence #618 from 00102221 from sent9

Text  : § 5 . 1 .
Tokens: 1 2 3 4 5

Chunks:

(ChunkerEvaluator) Sentence #619 from 00102221 from sent10

Text  : Żołnierz informuje dowódcę jednostki wojskowej , w której pełni służbę ,_ o_ zamiarze wykorzystania przejazdu na koszt wojska ,_ przez stosowne oświadczenie skierowane drogą służbową ,_ nie później niż w_ dniu udania się na urlop lub przepustkę jednorazową ._
Tokens: 1_______ 2________ 3______ 4________ 5________ 6 7 8_____ 9____ 10____ 11 12 13______ 14___________ 15_______ 16 17___ 18____ 19 20___ 21______ 22__________ 23________ 24___ 25______ 26 27_ 28_____ 29_ 30 31__ 32____ 33_ 34 35___ 36_ 37________ 38_________ 39

Chunks:

(ChunkerEvaluator) Sentence #620 from 00102221 from sent11

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #621 from 00102221 from sent12

Text  : Przejazd na koszt wojska podlega realizacji , na wniosek żołnierza ,_ przez dowódcę jednostki wojskowej ,_ na której zaopatrzeniu finansowym ten żołnierz pozostaje ._
Tokens: 1_______ 2_ 3____ 4_____ 5______ 6_________ 7 8_ 9______ 10_______ 11 12___ 13_____ 14_______ 15_______ 16 17 18____ 19__________ 20________ 21_ 22______ 23_______ 24

Chunks:

(ChunkerEvaluator) Sentence #622 from 00102221 from sent13

Text  : Realizacja uprawnienia polega na zwrocie kosztów przejazdu poniesionych przez żołnierza ,_ udokumentowanych biletami (_ rachunkami )_ załączonymi do wniosku ._
Tokens: 1_________ 2__________ 3_____ 4_ 5______ 6______ 7________ 8___________ 9____ 10_______ 11 12______________ 13______ 14 15________ 16 17_________ 18 19_____ 20

Chunks:

(ChunkerEvaluator) Sentence #623 from 00102221 from sent14

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #624 from 00102221 from sent15

Text  : Wypłata należności pieniężnych powstałych z tytułu zwrotu kosztów przejazdu poniesionych przez żołnierza następuje w_ ramach środków zaplanowanych na ten cel ,_ nie później niż w_ terminie 14 dni od dnia złożenia wniosku przez tego żołnierza ._
Tokens: 1______ 2_________ 3__________ 4_________ 5 6_____ 7_____ 8______ 9________ 10__________ 11___ 12_______ 13_______ 14 15____ 16_____ 17___________ 18 19_ 20_ 21 22_ 23_____ 24_ 25 26______ 27 28_ 29 30__ 31______ 32_____ 33___ 34__ 35_______ 36

Chunks:

(ChunkerEvaluator) Sentence #625 from 00102221 from sent16

Text  : 4 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #626 from 00102221 from sent17

Text  : Żołnierzowi nie zwraca się poniesionych przez niego kosztów przejazdu w_ przypadku odbycia przejazdu w_ granicach miejscowości ,_ w_ której pełni on służbę ._
Tokens: 1__________ 2__ 3_____ 4__ 5___________ 6____ 7____ 8______ 9________ 10 11_______ 12_____ 13_______ 14 15_______ 16__________ 17 18 19____ 20___ 21 22____ 23

Chunks:

(ChunkerEvaluator) Sentence #627 from 00102221 from sent18

Text  : 5 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #628 from 00102221 from sent19

Text  : W rozkazie dziennym dowódcy jednostki wojskowej , o którym mowa w_ ust ._ 1_ ,_ ogłasza się fakt wykorzystania przejazdu na koszt wojska ,_ z_ podaniem miejscowości ,_ do której przejazd był realizowany ,_ i_ rodzaj środka transportu zbiorowego właściwego do jego odbycia ._
Tokens: 1 2_______ 3_______ 4______ 5________ 6________ 7 8 9_____ 10__ 11 12_ 13 14 15 16_____ 17_ 18__ 19___________ 20_______ 21 22___ 23____ 24 25 26______ 27__________ 28 29 30____ 31______ 32_ 33_________ 34 35 36____ 37____ 38________ 39________ 40________ 41 42__ 43_____ 44

Chunks:

(ChunkerEvaluator) Sentence #629 from 00102221 from sent20

Text  : § 6 .
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #630 from 00102221 from sent21

Text  : Przejazdy na koszt wojska finansuje się z części budżetu państwa ,_ której dysponentem jest Minister Obrony Narodowej ._
Tokens: 1________ 2_ 3____ 4_____ 5________ 6__ 7 8_____ 9______ 10_____ 11 12____ 13_________ 14__ 15______ 16____ 17_______ 18

Chunks:
  TruePositive nam [15,17] = Minister Obrony Narodowej (confidence=1.00)

(ChunkerEvaluator) Sentence #631 from 00102221 from sent22

Text  : § 7 .
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #632 from 00102221 from sent23

Text  : Traci moc rozporządzenie Rady Ministrów z dnia 5 listopada 1992 r_ ._ w_ sprawie szczególnych uprawnień żołnierzy i_ osób spełniających zastępczo obowiązek służby wojskowej oraz członków ich rodzin (_ Dz ._ U_ ._ Nr 85 ,_ poz ._ 430 ,_ z_ 1994 r_ ._ Nr 82 ,_ poz ._ 376 oraz z_ 2001 r_ ._ Nr 90 ,_ poz ._ 998 i_ Nr 116 ,_ poz ._ 1238 ._
Tokens: 1____ 2__ 3_____________ 4___ 5________ 6 7___ 8 9________ 10__ 11 12 13 14_____ 15__________ 16_______ 17_______ 18 19__ 20___________ 21_______ 22_______ 23____ 24_______ 25__ 26______ 27_ 28____ 29 30 31 32 33 34 35 36 37_ 38 39_ 40 41 42__ 43 44 45 46 47 48_ 49 50_ 51__ 52 53__ 54 55 56 57 58 59_ 60 61_ 62 63 64_ 65 66_ 67 68__ 69

Chunks:
  FalsePositive nam [4,5] = Rady Ministrów (confidence=0.93) (incorrect boundry)
  FalsePositive nam [30,34] = Dz . U . Nr (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,28] = rozporządzenie Rady Ministrów z dnia 5 listopada 1992 r . w sprawie szczególnych uprawnień żołnierzy i osób spełniających zastępczo obowiązek służby wojskowej oraz członków ich rodzin
  FalseNegative nam [30,33] = Dz . U .

(ChunkerEvaluator) Sentence #633 from 00102221 from sent24

Text  : § 8 .
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #634 from 00102221 from sent25

Text  : Rozporządzenie wchodzi w życie z dniem 1 stycznia 2007 r_ ._
Tokens: 1_____________ 2______ 3 4____ 5 6____ 7 8_______ 9___ 10 11

Chunks:

(ChunkerEvaluator) Sentence #635 from 00102221 from sent26

Text  : Prezes Rady Ministrów : J . Kaczyński
Tokens: 1_____ 2___ 3________ 4 5 6 7________

Chunks:
  TruePositive nam [5,7] = J . Kaczyński (confidence=0.83)
  FalsePositive nam [2,3] = Rady Ministrów (confidence=0.75) (incorrect boundry)
  FalseNegative nam [1,3] = Prezes Rady Ministrów

2017-06-14 20:06:33,535 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 45 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102230.xml
(ChunkerEvaluator) Sentence #636 from 00102230 from sent1

Text  : 2 ) prowadzenia konsultacji przed wydaniem decyzji zgodnie z artykułem 7_ ,_
Tokens: 1 2 3__________ 4__________ 5____ 6_______ 7______ 8______ 9 10_______ 11 12

Chunks:

(ChunkerEvaluator) Sentence #637 from 00102230 from sent2

Text  : 3 ) otrzymania decyzji zgodnie z artykułem 8
Tokens: 1 2 3_________ 4______ 5______ 6 7________ 8

Chunks:

(ChunkerEvaluator) Sentence #638 from 00102230 from sent3

Text  : 4 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #639 from 00102230 from sent4

Text  : Jeżeli jedna z Umawiających się Stron uważa , że środowisko na terytorium jej państwa jest narażone na znaczące szkodliwe transgraniczne oddziaływanie działalności ,_ o_ której mowa w_ artykule 1_ ,_ i_ nie została powiadomiona zgodnie z_ ustępem 1_ ,_ to Strona pochodzenia prześle na prośbę Strony narażonej dane zgodne z_ ustępem 1_ ._
Tokens: 1_____ 2____ 3 4___________ 5__ 6____ 7____ 8 9_ 10________ 11 12________ 13_ 14_____ 15__ 16______ 17 18______ 19_______ 20____________ 21___________ 22__________ 23 24 25____ 26__ 27 28______ 29 30 31 32_ 33_____ 34__________ 35_____ 36 37_____ 38 39 40 41____ 42_________ 43_____ 44 45____ 46____ 47_______ 48__ 49____ 50 51_____ 52 53

Chunks:

(ChunkerEvaluator) Sentence #640 from 00102230 from sent5

Text  : Po otrzymaniu tych danych Strona narażona postępuje zgodnie z ustępem 3_ ._
Tokens: 1_ 2_________ 3___ 4_____ 5_____ 6_______ 7________ 8______ 9 10_____ 11 12

Chunks:

(ChunkerEvaluator) Sentence #641 from 00102230 from sent6

Text  : 5 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #642 from 00102230 from sent7

Text  : Jeżeli Strona narażona poinformuje , że chce wziąć udział w_ postępowaniu w_ sprawie oceny oddziaływania na środowisko ,_ to Strona pochodzenia przekaże ,_ jeżeli nie miało to wcześniej miejsca zgodnie z_ ustępem 1_ ,_ dane zgodnie z_ artykułem 3_ ustęp 5_ Konwencji z_ Espoo ._
Tokens: 1_____ 2_____ 3_______ 4__________ 5 6_ 7___ 8____ 9_____ 10 11__________ 12 13_____ 14___ 15___________ 16 17________ 18 19 20____ 21_________ 22______ 23 24____ 25_ 26___ 27 28_______ 29_____ 30_____ 31 32_____ 33 34 35__ 36_____ 37 38_______ 39 40___ 41 42_______ 43 44___ 45

Chunks:
  FalsePositive nam [42,44] = Konwencji z Espoo (confidence=0.90) (incorrect boundry)
  FalseNegative nam [44,44] = Espoo

(ChunkerEvaluator) Sentence #643 from 00102230 from sent8

Text  : Strona pochodzenia poinformuje Stronę narażoną , które organy będą uczestniczyły w_ postępowaniu w_ sprawie oceny oddziaływania na środowisko w_ momencie powiadomienia ,_ o_ którym mowa w_ ustępie 1_ ,_ lub najpóźniej w_ momencie przekazania dokumentacji oceny oddziaływania na środowisko ._
Tokens: 1_____ 2__________ 3__________ 4_____ 5_______ 6 7____ 8_____ 9___ 10___________ 11 12__________ 13 14_____ 15___ 16___________ 17 18________ 19 20______ 21___________ 22 23 24____ 25__ 26 27_____ 28 29 30_ 31________ 32 33______ 34_________ 35__________ 36___ 37___________ 38 39________ 40

Chunks:

(ChunkerEvaluator) Sentence #644 from 00102230 from sent9

Text  : 6 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #645 from 00102230 from sent10

Text  : Wzory powiadomienia , potwierdzenia odbioru powiadomienia i deklaracji uczestnictwa są określone w_ załącznikach 1_ -_ 3_ stanowiących integralną część niniejszej Umowy ._
Tokens: 1____ 2____________ 3 4____________ 5______ 6____________ 7 8_________ 9___________ 10 11_______ 12 13__________ 14 15 16 17__________ 18________ 19___ 20________ 21___ 22

Chunks:

(ChunkerEvaluator) Sentence #646 from 00102230 from sent11

Text  : Artykuł 3 Dokumentacja oceny oddziaływania na środowisko
Tokens: 1______ 2 3___________ 4____ 5____________ 6_ 7_________

Chunks:

(ChunkerEvaluator) Sentence #647 from 00102230 from sent12

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #648 from 00102230 from sent13

Text  : Po zadeklarowaniu przez Stronę narażoną uczestnictwa w postępowaniu w sprawie oceny oddziaływania na środowisko Strona pochodzenia jest obowiązana do przekazania Stronie narażonej dokumentacji sporządzonej zgodnie z_ artykułem 4_ ustęp 1_ Konwencji z_ Espoo ,_ łącznie z_ tłumaczeniami wymienionymi w_ artykule 11 ustęp 1_ punkt 2_ ,_ niezwłocznie po jej sporządzeniu ._
Tokens: 1_ 2_____________ 3____ 4_____ 5_______ 6___________ 7 8___________ 9 10_____ 11___ 12___________ 13 14________ 15____ 16_________ 17__ 18________ 19 20_________ 21_____ 22_______ 23__________ 24__________ 25_____ 26 27_______ 28 29___ 30 31_______ 32 33___ 34 35_____ 36 37___________ 38__________ 39 40______ 41 42___ 43 44___ 45 46 47__________ 48 49_ 50__________ 51

Chunks:
  TruePositive nam [33,33] = Espoo (confidence=0.68)
  FalsePositive nam [15,15] = Strona (confidence=0.61) (incorrect boundry)
  FalsePositive nam [21,21] = Stronie (confidence=0.83) (incorrect boundry)
  FalsePositive nam [31,31] = Konwencji (confidence=0.98) (incorrect boundry)

(ChunkerEvaluator) Sentence #649 from 00102230 from sent14

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #650 from 00102230 from sent15

Text  : Strona pochodzenia ustali równocześnie z przesłaniem dokumentacji oceny oddziaływania na środowisko stosowny termin dla Strony narażonej ,_ w_ którym uczestnicy postępowania Strony narażonej mogą wyrazić uwagi lub zastrzeżenia ._
Tokens: 1_____ 2__________ 3_____ 4___________ 5 6__________ 7___________ 8____ 9____________ 10 11________ 12______ 13____ 14_ 15____ 16_______ 17 18 19____ 20________ 21__________ 22____ 23_______ 24__ 25_____ 26___ 27_ 28__________ 29

Chunks:

(ChunkerEvaluator) Sentence #651 from 00102230 from sent16

Text  : Przy ustalaniu terminu Strona pochodzenia uwzględni w ramach wewnętrznych przepisów prawnych rodzaj planowanej działalności ,_ rodzaj i_ skalę prawdopodobnego oddziaływania na środowisko na terytorium Strony narażonej ,_ a_ także konieczność możliwie jak najszybszego zakończenia postępowania w_ sprawie oceny oddziaływania na środowisko w_ kontekście transgranicznym ._
Tokens: 1___ 2________ 3______ 4_____ 5__________ 6________ 7 8_____ 9___________ 10_______ 11______ 12____ 13________ 14__________ 15 16____ 17 18___ 19_____________ 20___________ 21 22________ 23 24________ 25____ 26_______ 27 28 29___ 30_________ 31______ 32_ 33__________ 34_________ 35__________ 36 37_____ 38___ 39___________ 40 41________ 42 43________ 44_____________ 45

Chunks:

(ChunkerEvaluator) Sentence #652 from 00102230 from sent17

Text  : Termin poza szczególnymi przypadkami nie powinien przekraczać trzech miesięcy ._
Tokens: 1_____ 2___ 3___________ 4__________ 5__ 6_______ 7__________ 8_____ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #653 from 00102230 from sent18

Text  : Udział opinii publicznej
Tokens: 1_____ 2_____ 3_________

Chunks:

(ChunkerEvaluator) Sentence #654 from 00102230 from sent19

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #655 from 00102230 from sent20

Text  : Umawiające się Strony zapewnią możliwość udziału opinii publicznej w postępowaniu w_ sprawie oceny oddziaływania na środowisko planowanej działalności ,_ o_ której mowa w_ artykule 1_ ustęp 1_ ,_ na zasadach zgodnych z_ ich wewnętrznymi przepisami prawnymi Społeczeństwo Strony narażonej będzie miało możliwość wyrażenia swoich uwag lub zastrzeżeń przez taki okres ,_ jaki jest przewidziany dla społeczeństwa Strony pochodzenia ._
Tokens: 1_________ 2__ 3_____ 4_______ 5________ 6______ 7_____ 8_________ 9 10__________ 11 12_____ 13___ 14___________ 15 16________ 17________ 18__________ 19 20 21____ 22__ 23 24______ 25 26___ 27 28 29 30______ 31______ 32 33_ 34__________ 35________ 36______ 37___________ 38____ 39_______ 40____ 41___ 42_______ 43_______ 44____ 45__ 46_ 47________ 48___ 49__ 50___ 51 52__ 53__ 54__________ 55_ 56___________ 57____ 58_________ 59

Chunks:

(ChunkerEvaluator) Sentence #656 from 00102230 from sent21

Text  : O postępowaniu tym społeczeństwo Strony narażonej poinformowane zostanie przez właściwy organ Strony narażonej poprzez podanie do publicznej wiadomości informacji o_ wszczętym postępowaniu i_ wyłożeniu dokumentacji ,_ o_ której mowa w_ artykule 3_ ustęp 1_ ,_ oraz o_ poinformowanie o_ warunkach składania uwag lub zastrzeżeń ,_ jak również o_ warunkach zaskarżania decyzji końcowej ._
Tokens: 1 2___________ 3__ 4____________ 5_____ 6________ 7____________ 8_______ 9____ 10______ 11___ 12____ 13_______ 14_____ 15_____ 16 17________ 18________ 19________ 20 21_______ 22__________ 23 24_______ 25__________ 26 27 28____ 29__ 30 31______ 32 33___ 34 35 36__ 37 38____________ 39 40_______ 41_______ 42__ 43_ 44________ 45 46_ 47_____ 48 49_______ 50_________ 51_____ 52______ 53

Chunks:

(ChunkerEvaluator) Sentence #657 from 00102230 from sent22

Text  : Właściwy organ strony pochodzenia zostanie zawiadomiony o terminie wyłożenia dokumentacji do wglądu społeczeństwa Strony narażonej ._
Tokens: 1_______ 2____ 3_____ 4__________ 5_______ 6___________ 7 8_______ 9________ 10__________ 11 12____ 13___________ 14____ 15_______ 16

Chunks:

2017-06-14 20:06:33,669 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 46 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102246.xml
(ChunkerEvaluator) Sentence #658 from 00102246 from sent1

Text  : Artur Boruc , bogobojny bramkarz , otrzymał wyróżnienie fair play ._
Tokens: 1____ 2____ 3 4________ 5_______ 6 7_______ 8__________ 9___ 10__ 11

Chunks:
  TruePositive nam [1,2] = Artur Boruc (confidence=1.00)

(ChunkerEvaluator) Sentence #659 from 00102246 from sent2

Text  : Boruc , Galahad z Glasgow , uratował kobietę w potrzebie ._
Tokens: 1____ 2 3______ 4 5______ 6 7_______ 8______ 9 10_______ 11

Chunks:
  TruePositive nam [1,1] = Boruc (confidence=0.85)
  TruePositive nam [3,3] = Galahad (confidence=1.00)
  TruePositive nam [5,5] = Glasgow (confidence=1.00)

(ChunkerEvaluator) Sentence #660 from 00102246 from sent3

Text  : Jedną ręką .
Tokens: 1____ 2___ 3

Chunks:

(ChunkerEvaluator) Sentence #661 from 00102246 from sent4

Text  : Inne wyróżnienie otrzymali skoczkowie , którzy nosili na rękach Adama Małysza ._
Tokens: 1___ 2__________ 3________ 4_________ 5 6_____ 7_____ 8_ 9_____ 10___ 11_____ 12

Chunks:
  TruePositive nam [10,11] = Adama Małysza (confidence=1.00)

(ChunkerEvaluator) Sentence #662 from 00102246 from sent5

Text  : Gest miły , chociaż było i tak już po zawodach ._
Tokens: 1___ 2___ 3 4______ 5___ 6 7__ 8__ 9_ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #663 from 00102246 from sent6

Text  : W związku z próbą przewartościowania nagrody proponuję kilku kandydatów do najbliższej edycji konkursu :_ Leo Beenhakker :_ Opuścił polską reprezentację niemal w_ przededniu najważniejszych meczów tej wiosny ,_ ale zachował się fair i_ prowadzony przez niego Feyenoord odpadł już w_ pierwszej rundzie play -_ off ligi holenderskiej ._
Tokens: 1 2______ 3 4____ 5_________________ 6______ 7________ 8____ 9_________ 10 11_________ 12____ 13______ 14 15_ 16________ 17 18_____ 19____ 20___________ 21____ 22 23________ 24_____________ 25____ 26_ 27____ 28 29_ 30______ 31_ 32__ 33 34________ 35___ 36___ 37_______ 38____ 39_ 40 41_______ 42_____ 43__ 44 45_ 46__ 47___________ 48

Chunks:
  TruePositive nam [15,16] = Leo Beenhakker (confidence=1.00)
  TruePositive nam [37,37] = Feyenoord (confidence=0.95)

(ChunkerEvaluator) Sentence #664 from 00102246 from sent7

Text  : Sąd Rejonowy w Płońsku : Co ma wisieć , nie utonie ._
Tokens: 1__ 2_______ 3 4______ 5 6_ 7_ 8_____ 9 10_ 11____ 12

Chunks:
  TruePositive nam [1,2] = Sąd Rejonowy (confidence=0.99)
  TruePositive nam [4,4] = Płońsku (confidence=0.97)

(ChunkerEvaluator) Sentence #665 from 00102246 from sent8

Text  : Otylia jednak nie idzie do więzienia , miejsce Polaków w_ drugiej dziesiątce tabeli medalowej w_ Pekinie uratowane ._
Tokens: 1_____ 2_____ 3__ 4____ 5_ 6________ 7 8______ 9______ 10 11_____ 12________ 13____ 14_______ 15 16_____ 17_______ 18

Chunks:
  TruePositive nam [9,9] = Polaków (confidence=1.00)
  TruePositive nam [16,16] = Pekinie (confidence=0.99)
  FalseNegative nam [1,1] = Otylia

(ChunkerEvaluator) Sentence #666 from 00102246 from sent9

Text  : Raul Lozano : Żeby nie było , że faworyzuje mistrza Polski w_ siatkówce ,_ nie przyjechał na mecze rozgrywane w_ Bełchatowie ._
Tokens: 1___ 2_____ 3 4___ 5__ 6___ 7 8_ 9_________ 10_____ 11____ 12 13_______ 14 15_ 16________ 17 18___ 19________ 20 21_________ 22

Chunks:
  TruePositive nam [1,2] = Raul Lozano (confidence=1.00)
  TruePositive nam [11,11] = Polski (confidence=1.00)
  TruePositive nam [21,21] = Bełchatowie (confidence=1.00)

(ChunkerEvaluator) Sentence #667 from 00102246 from sent10

Text  : Linie lotnicze Malev : Węgrzy postanowili udzielić Agnieszce Radwańskiej lekcji gry pożyczoną rakietą i_ przemyślnie wysłali jej bagaże na Krym zamiast do Rzymu ._
Tokens: 1____ 2_______ 3____ 4 5_____ 6__________ 7_______ 8________ 9__________ 10____ 11_ 12_______ 13_____ 14 15_________ 16_____ 17_ 18____ 19 20__ 21_____ 22 23___ 24

Chunks:
  TruePositive nam [3,3] = Malev (confidence=1.00)
  TruePositive nam [8,9] = Agnieszce Radwańskiej (confidence=1.00)
  TruePositive nam [20,20] = Krym (confidence=0.97)
  TruePositive nam [23,23] = Rzymu (confidence=1.00)
  FalseNegative nam [5,5] = Węgrzy

(ChunkerEvaluator) Sentence #668 from 00102246 from sent11

Text  : Agnieszka lekcję popamięta , ale co nas nie zabije ._ ._ ._
Tokens: 1________ 2_____ 3________ 4 5__ 6_ 7__ 8__ 9_____ 10 11 12

Chunks:
  FalseNegative nam [1,1] = Agnieszka

(ChunkerEvaluator) Sentence #669 from 00102246 from sent12

Text  : Krzysztof Hołowczyc i jego ekipa : Poprosili o przerwanie podróży mimo że mieli przewagę liczebną ._
Tokens: 1________ 2________ 3 4___ 5____ 6 7________ 8 9_________ 10_____ 11__ 12 13___ 14______ 15______ 16

Chunks:
  TruePositive nam [1,2] = Krzysztof Hołowczyc (confidence=1.00)

2017-06-14 20:06:33,727 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 47 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102310.xml
(ChunkerEvaluator) Sentence #670 from 00102310 from sent1

Text  : Wprawdzie nie lubię upałów , ale wyszedł em rano na spacer ._
Tokens: 1________ 2__ 3____ 4_____ 5 6__ 7______ 8_ 9___ 10 11____ 12

Chunks:

(ChunkerEvaluator) Sentence #671 from 00102310 from sent2

Text  : Zdziwił em się , że o tak wczesnej porze jest tylu spacerowiczów ._
Tokens: 1______ 2_ 3__ 4 5_ 6 7__ 8_______ 9____ 10__ 11__ 12___________ 13

Chunks:

(ChunkerEvaluator) Sentence #672 from 00102310 from sent3

Text  : Zauważył em już wcześniej , że mają tu manię porządkowania ,_ ale numerowanie spacerowiczów wydało mi się dość dziwne ._
Tokens: 1_______ 2_ 3__ 4________ 5 6_ 7___ 8_ 9____ 10___________ 11 12_ 13_________ 14___________ 15____ 16 17_ 18__ 19____ 20

Chunks:

(ChunkerEvaluator) Sentence #673 from 00102310 from sent4

Text  : Trochę nie podobało mi się to , że trasa spacerowa była z_ góry wyznaczona i_ ogrodzona płotem ._
Tokens: 1_____ 2__ 3_______ 4_ 5__ 6_ 7 8_ 9____ 10_______ 11__ 12 13__ 14________ 15 16_______ 17____ 18

Chunks:

(ChunkerEvaluator) Sentence #674 from 00102310 from sent5

Text  : Na dodatek porządkowi nie pilnowali jej zbyt dobrze , bo ciągle przejeżdżały jakieś motocykle ._
Tokens: 1_ 2______ 3_________ 4__ 5________ 6__ 7___ 8_____ 9 10 11____ 12__________ 13____ 14_______ 15

Chunks:

(ChunkerEvaluator) Sentence #675 from 00102310 from sent6

Text  : Wydaje się , że spacery nie są w tym kraju zbyt popularne ,_ bo ciągle ktoś nas filmował ._
Tokens: 1_____ 2__ 3 4_ 5______ 6__ 7_ 8 9__ 10___ 11__ 12_______ 13 14 15____ 16__ 17_ 18______ 19

Chunks:

(ChunkerEvaluator) Sentence #676 from 00102310 from sent7

Text  : Z drugiej strony , komuś zależy , żeby spacerowicze mieli jednak dobre warunki ._
Tokens: 1 2______ 3_____ 4 5____ 6_____ 7 8___ 9___________ 10___ 11____ 12___ 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #677 from 00102310 from sent8

Text  : Ulica jest równa , a mimo to wszędzie stoją ludzie ,_ którzy pilnują ,_ żeby się nie potknąć ._
Tokens: 1____ 2___ 3____ 4 5 6___ 7_ 8_______ 9____ 10____ 11 12____ 13_____ 14 15__ 16_ 17_ 18_____ 19

Chunks:

(ChunkerEvaluator) Sentence #678 from 00102310 from sent9

Text  : Jak ktoś spaceruje niewłaściwie , karzą każą mu zejść ze ścieżki ._
Tokens: 1__ 2___ 3________ 4___________ 5 6____ 7___ 8_ 9____ 10 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #679 from 00102310 from sent10

Text  : Co pewien czas rozdają napoje i batoniki , jest nawet prysznic ._
Tokens: 1_ 2_____ 3___ 4______ 5_____ 6 7_______ 8 9___ 10___ 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #680 from 00102310 from sent11

Text  : Gdyby m wiedział , że jest tak fajnie , wychodził by m_ częściej ._
Tokens: 1____ 2 3_______ 4 5_ 6___ 7__ 8_____ 9 10_______ 11 12 13______ 14

Chunks:

(ChunkerEvaluator) Sentence #681 from 00102310 from sent12

Text  : Na dodatek można pogadać z innymi spacerowiczami .
Tokens: 1_ 2______ 3____ 4______ 5 6_____ 7_____________ 8

Chunks:

(ChunkerEvaluator) Sentence #682 from 00102310 from sent13

Text  : Tak się z jednym zagadał em , że weszli śmy na jakiś stadion ._
Tokens: 1__ 2__ 3 4_____ 5______ 6_ 7 8_ 9_____ 10_ 11 12___ 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #683 from 00102310 from sent14

Text  : Dla żartu udali śmy , że się ścigamy spacerując (_ śmiesznie musiało to wyglądać )_ ._
Tokens: 1__ 2____ 3____ 4__ 5 6_ 7__ 8______ 9_________ 10 11_______ 12_____ 13 14______ 15 16

Chunks:

(ChunkerEvaluator) Sentence #684 from 00102310 from sent15

Text  : Przyszedł em pierwszy i znów okazało się , że nawet tu są pomocnicy spacerowiczów -_ dostał em ręcznik w_ kolorach flagi narodowej (_ pewnie przypadek )_ ,_ coś do picia ,_ a_ potem nawet pokazano mi drogę do łazienki ._
Tokens: 1________ 2_ 3_______ 4 5___ 6______ 7__ 8 9_ 10___ 11 12 13_______ 14___________ 15 16____ 17 18_____ 19 20______ 21___ 22_______ 23 24____ 25_______ 26 27 28_ 29 30___ 31 32 33___ 34___ 35______ 36 37___ 38 39______ 40

Chunks:

(ChunkerEvaluator) Sentence #685 from 00102310 from sent16

Text  : Dostał em też mały plastikowy pojemnik .
Tokens: 1_____ 2_ 3__ 4___ 5_________ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #686 from 00102310 from sent17

Text  : Międzynarodowy Komitet Olimpijski zezwolił sportowcom na prowadzenie blogów w czasie igrzysk w_ Pekinie ._
Tokens: 1_____________ 2______ 3_________ 4_______ 5_________ 6_ 7__________ 8_____ 9 10____ 11_____ 12 13_____ 14

Chunks:
  TruePositive nam [13,13] = Pekinie (confidence=1.00)
  FalsePositive nam [2,3] = Komitet Olimpijski (confidence=0.95) (incorrect boundry)
  FalseNegative nam [1,3] = Międzynarodowy Komitet Olimpijski
  FalseNegative nam [11,11] = igrzysk

(ChunkerEvaluator) Sentence #687 from 00102310 from sent18

Text  : Zezwolił uczestnikom szlachetnej rywalizacji , w której liczy się uczestnictwo ,_ na informowanie o_ uczestnictwie ._
Tokens: 1_______ 2__________ 3__________ 4__________ 5 6 7_____ 8____ 9__ 10__________ 11 12 13__________ 14 15___________ 16

Chunks:

(ChunkerEvaluator) Sentence #688 from 00102310 from sent19

Text  : Żeby jednak nie przesadzić z tą wolnością , nie wolno pisać o_ wydarzeniach sportowych (_ tylko o_ "_ własnych doświadczeniach "_ )_ ._
Tokens: 1___ 2_____ 3__ 4_________ 5 6_ 7________ 8 9__ 10___ 11___ 12 13__________ 14________ 15 16___ 17 18 19______ 20_____________ 21 22 23

Chunks:

(ChunkerEvaluator) Sentence #689 from 00102310 from sent20

Text  : Nie wolno opisywać innych uczestników ani przeprowadzać z nimi wywiadów ._
Tokens: 1__ 2____ 3_______ 4_____ 5__________ 6__ 7____________ 8 9___ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #690 from 00102310 from sent21

Text  : Nie wolno robić zdjęć z wydarzeń sportowych .
Tokens: 1__ 2____ 3____ 4____ 5 6_______ 7_________ 8

Chunks:

(ChunkerEvaluator) Sentence #691 from 00102310 from sent22

Text  : Blogi muszą być niekomercyjne .
Tokens: 1____ 2____ 3__ 4____________ 5

Chunks:

(ChunkerEvaluator) Sentence #692 from 00102310 from sent23

Text  : Mają to być dzienniki , a nie dziennikarstwo .
Tokens: 1___ 2_ 3__ 4________ 5 6 7__ 8_____________ 9

Chunks:

(ChunkerEvaluator) Sentence #693 from 00102310 from sent24

Text  : Przy okazji MKOl zdefiniował nareszcie , czym jest blogowanie :_ "_ legitimate form of personal expression "_ ._
Tokens: 1___ 2_____ 3___ 4__________ 5________ 6 7___ 8___ 9_________ 10 11 12________ 13__ 14 15______ 16________ 17 18

Chunks:
  TruePositive nam [3,3] = MKOl (confidence=0.98)

2017-06-14 20:06:33,824 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 48 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102340.xml
(ChunkerEvaluator) Sentence #694 from 00102340 from sent1

Text  : Niestety jest właśnie jedno ale i to na tyle poważne ,_ że po każdym kilkugodzinnym używaniu Firefoxa –_ powracam do Opery ._
Tokens: 1_______ 2___ 3______ 4____ 5__ 6 7_ 8_ 9___ 10_____ 11 12 13 14____ 15____________ 16______ 17______ 18 19______ 20 21___ 22

Chunks:
  TruePositive nam [17,17] = Firefoxa (confidence=0.99)
  TruePositive nam [21,21] = Opery (confidence=0.97)

(ChunkerEvaluator) Sentence #695 from 00102340 from sent2

Text  : Potem przez kilka dni odpoczywam od Firefoxa – i gdy coraz bardziej doskwiera mi brak kilku firefoxowych gadżetów –_ ponownie próbuję oswajać lisa ._
Tokens: 1____ 2____ 3____ 4__ 5_________ 6_ 7_______ 8 9 10_ 11___ 12______ 13_______ 14 15__ 16___ 17__________ 18______ 19 20______ 21_____ 22_____ 23__ 24

Chunks:
  TruePositive nam [7,7] = Firefoxa (confidence=0.98)

(ChunkerEvaluator) Sentence #696 from 00102340 from sent3

Text  : Próbuję – choć wiem , że nie mam szans wygrać z_ jego koszmarnym apetytem na RAM mojego blaszaka ._
Tokens: 1______ 2 3___ 4___ 5 6_ 7__ 8__ 9____ 10____ 11 12__ 13________ 14______ 15 16_ 17____ 18______ 19

Chunks:
  FalsePositive nam [16,16] = RAM (confidence=0.85) (incorrect boundry)

(ChunkerEvaluator) Sentence #697 from 00102340 from sent4

Text  : Ten zwierzak już na starcie pożera tyle pamięci ile Opera po kilkunastu godzinach używania ._
Tokens: 1__ 2_______ 3__ 4_ 5______ 6_____ 7___ 8______ 9__ 10___ 11 12________ 13_______ 14______ 15

Chunks:
  FalseNegative nam [10,10] = Opera

(ChunkerEvaluator) Sentence #698 from 00102340 from sent5

Text  : A po 3 , 4 godzinach zjada połowę dostępnej pamięci –_ i_ bynajmniej na tym nie poprzestaje ._
Tokens: 1 2_ 3 4 5 6________ 7____ 8_____ 9________ 10_____ 11 12 13________ 14 15_ 16_ 17_________ 18

Chunks:

(ChunkerEvaluator) Sentence #699 from 00102340 from sent6

Text  : Tak jak teraz , gdy piszę tę notatkę – Firefox działa zaledwie dwie godziny –_ a_ przeżuwa już prawie 400Mb ._ ._
Tokens: 1__ 2__ 3____ 4 5__ 6____ 7_ 8______ 9 10_____ 11____ 12______ 13__ 14_____ 15 16 17______ 18_ 19____ 20___ 21 22

Chunks:
  TruePositive nam [10,10] = Firefox (confidence=0.99)

(ChunkerEvaluator) Sentence #700 from 00102340 from sent7

Text  : Oczywiście próbowała m ograniczyć ilość włączonych wtyczek – raczej testowo –_ bo bez nich Firefox przegrywa z_ Operą ._
Tokens: 1_________ 2________ 3 4_________ 5____ 6_________ 7______ 8 9_____ 10_____ 11 12 13_ 14__ 15_____ 16_______ 17 18___ 19

Chunks:
  TruePositive nam [15,15] = Firefox (confidence=0.99)
  TruePositive nam [18,18] = Operą (confidence=0.65)

(ChunkerEvaluator) Sentence #701 from 00102340 from sent8

Text  : Jednak nawet po wyłączeniu wszystkich wtyczek lisi apetyt zmniejszył się niemal niezauważalnie ._
Tokens: 1_____ 2____ 3_ 4_________ 5_________ 6______ 7___ 8_____ 9_________ 10_ 11____ 12____________ 13

Chunks:

(ChunkerEvaluator) Sentence #702 from 00102340 from sent9

Text  : Jak przeczytała m – Ci , którzy Firefoxa tworzą twierdzą ,_ że tak po prostu jest –_ i_ tak ma być ._
Tokens: 1__ 2__________ 3 4 5_ 6 7_____ 8_______ 9_____ 10______ 11 12 13_ 14 15____ 16__ 17 18 19_ 20 21_ 22

Chunks:
  TruePositive nam [8,8] = Firefoxa (confidence=1.00)

(ChunkerEvaluator) Sentence #703 from 00102340 from sent10

Text  : Używa dużo pamięci – ale dzięki temu szybciej i sprawniej działa ._
Tokens: 1____ 2___ 3______ 4 5__ 6_____ 7___ 8_______ 9 10_______ 11____ 12

Chunks:

(ChunkerEvaluator) Sentence #704 from 00102340 from sent11

Text  : Nie przeczę – tyle , że także dzięki temu zadyszki dostaje mój system ,_ gdy np ._ próbuję jednocześnie używać Photoshopa ._
Tokens: 1__ 2______ 3 4___ 5 6_ 7____ 8_____ 9___ 10______ 11_____ 12_ 13____ 14 15_ 16 17 18_____ 19__________ 20____ 21________ 22

Chunks:
  TruePositive nam [21,21] = Photoshopa (confidence=0.98)

(ChunkerEvaluator) Sentence #705 from 00102340 from sent12

Text  : A nie przepadam za regularnym używaniem programu do optymalizacji RAM ._
Tokens: 1 2__ 3________ 4_ 5_________ 6________ 7_______ 8_ 9____________ 10_ 11

Chunks:
  FalsePositive nam [10,10] = RAM (confidence=0.93) (incorrect boundry)

(ChunkerEvaluator) Sentence #706 from 00102340 from sent13

Text  : Skaczę więc radośnie pomiędzy Firefoxem , a Operą – i_ marzę o_ idealnej przeglądarce ._
Tokens: 1_____ 2___ 3_______ 4_______ 5________ 6 7 8____ 9 10 11___ 12 13______ 14__________ 15

Chunks:
  TruePositive nam [5,5] = Firefoxem (confidence=0.99)
  FalseNegative nam [8,8] = Operą

(ChunkerEvaluator) Sentence #707 from 00102340 from sent14

Text  : Takiej z możliwościami konfiguracyjnymi Firefoxa i wykorzystywaniem RAM na poziomie Opery ._
Tokens: 1_____ 2 3____________ 4_______________ 5_______ 6 7_______________ 8__ 9_ 10______ 11___ 12

Chunks:
  TruePositive nam [5,5] = Firefoxa (confidence=0.97)
  TruePositive nam [11,11] = Opery (confidence=0.86)
  FalsePositive nam [8,8] = RAM (confidence=0.92) (incorrect boundry)

2017-06-14 20:06:33,921 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 49 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102392.xml
(ChunkerEvaluator) Sentence #708 from 00102392 from sent1

Text  : Amortyzatory przednie można montować w dwóch pozycjach , amortyzatory tylne oferują pięć możliwości ._
Tokens: 1___________ 2_______ 3____ 4_______ 5 6____ 7________ 8 9___________ 10___ 11_____ 12__ 13________ 14

Chunks:

(ChunkerEvaluator) Sentence #709 from 00102392 from sent2

Text  : Dostarczone w zestawie wkładki pozwalają zmienić prześwit modelu poprzez wstępne ściśnięcie sprężyn ._
Tokens: 1__________ 2 3_______ 4______ 5________ 6______ 7_______ 8_____ 9______ 10_____ 11________ 12_____ 13

Chunks:

(ChunkerEvaluator) Sentence #710 from 00102392 from sent3

Text  : Amortyzatory są rozbieralne , co pozwala w jeszcze większym stopniu dostosować je do warunków i_ stylu jazdy poprzez zmianę gęstości oleju lub wymianę sprężyn ._
Tokens: 1___________ 2_ 3__________ 4 5_ 6______ 7 8______ 9_______ 10_____ 11________ 12 13 14______ 15 16___ 17___ 18_____ 19____ 20______ 21___ 22_ 23_____ 24_____ 25

Chunks:

(ChunkerEvaluator) Sentence #711 from 00102392 from sent4

Text  : Rustler napędzany jest 20 - zwojowym silnikiem Traxxas Stinger (_ modele #_ 3710 i_ #_ 3706 )_ lub 12 -_ zwojowym silnikiem Traxxas Titan (_ model #_ 3705 )_ ._
Tokens: 1______ 2________ 3___ 4_ 5 6_______ 7________ 8______ 9______ 10 11____ 12 13__ 14 15 16__ 17 18_ 19 20 21______ 22_______ 23_____ 24___ 25 26___ 27 28__ 29 30

Chunks:
  FalsePositive nam [8,9] = Traxxas Stinger (confidence=1.00) (incorrect boundry)
  FalsePositive nam [23,24] = Traxxas Titan (confidence=1.00) (incorrect boundry)
  FalseNegative nam [1,1] = Rustler
  FalseNegative nam [8,8] = Traxxas
  FalseNegative nam [9,9] = Stinger
  FalseNegative nam [23,23] = Traxxas
  FalseNegative nam [24,24] = Titan

(ChunkerEvaluator) Sentence #712 from 00102392 from sent5

Text  : Moc Stingera w zupełności wystarcza do dobrej zabawy .
Tokens: 1__ 2_______ 3 4_________ 5________ 6_ 7_____ 8_____ 9

Chunks:
  FalsePositive nam [1,2] = Moc Stingera (confidence=0.55) (incorrect boundry)
  FalseNegative nam [2,2] = Stingera

(ChunkerEvaluator) Sentence #713 from 00102392 from sent6

Text  : Rustler w wersji z silnikiem Titan jest , według testów opublikowanych w_ RC Car Action z_ października 2006 ,_ najszybszym ze stadium trucków tej klasy ,_ sprzedawanych jako gotowe do jazdy ._
Tokens: 1______ 2 3_____ 4 5________ 6____ 7___ 8 9_____ 10____ 11____________ 12 13 14_ 15____ 16 17__________ 18__ 19 20_________ 21 22_____ 23_____ 24_ 25___ 26 27___________ 28__ 29____ 30 31___ 32

Chunks:
  TruePositive nam [1,1] = Rustler (confidence=0.84)
  TruePositive nam [6,6] = Titan (confidence=0.98)
  TruePositive nam [13,15] = RC Car Action (confidence=0.99)

(ChunkerEvaluator) Sentence #714 from 00102392 from sent7

Text  : Silnik mocowany jest za tylną osią , w sposób typowy dla elektrycznych modeli off -_ road z_ napędem na tył ._
Tokens: 1_____ 2_______ 3___ 4_ 5____ 6___ 7 8 9_____ 10____ 11_ 12___________ 13____ 14_ 15 16__ 17 18_____ 19 20_ 21

Chunks:

(ChunkerEvaluator) Sentence #715 from 00102392 from sent8

Text  : Zębatka atakująca jest metalowa , odbierająca jest plastikowa i zabezpieczona przez sprzęgło poślizgowe (_ slipper clutch )_ ._
Tokens: 1______ 2________ 3___ 4_______ 5 6__________ 7___ 8_________ 9 10___________ 11___ 12______ 13________ 14 15_____ 16____ 17 18

Chunks:

(ChunkerEvaluator) Sentence #716 from 00102392 from sent9

Text  : W przypadku wersji # 3705 jest ono takie samo ,_ jak slipper clutch montowany w_ modelach spalinowych :_ T_ -_ Maxx ,_ Revo i_ Jato ._
Tokens: 1 2________ 3_____ 4 5___ 6___ 7__ 8____ 9___ 10 11_ 12_____ 13____ 14_______ 15 16______ 17_________ 18 19 20 21__ 22 23__ 24 25__ 26

Chunks:
  TruePositive nam [19,21] = T - Maxx (confidence=1.00)
  TruePositive nam [23,23] = Revo (confidence=0.94)
  TruePositive nam [25,25] = Jato (confidence=0.92)

(ChunkerEvaluator) Sentence #717 from 00102392 from sent10

Text  : Napęd przekazywany jest na koła poprzez zamkniętą , 3 -_ zębatkową przekładnię oraz dyferencjał planetarny ._
Tokens: 1____ 2___________ 3___ 4_ 5___ 6______ 7________ 8 9 10 11_______ 12_________ 13__ 14_________ 15________ 16

Chunks:

(ChunkerEvaluator) Sentence #718 from 00102392 from sent11

Text  : Zębatki Rustlera są dobrze chronione przed kamykami i zanieczyszczeniem –_ ich osłona nie jest wprawdzie całkowicie szczelna ,_ ale dobrze spełnia swoje zadanie ._
Tokens: 1______ 2_______ 3_ 4_____ 5________ 6____ 7_______ 8 9________________ 10 11_ 12____ 13_ 14__ 15_______ 16________ 17______ 18 19_ 20____ 21_____ 22___ 23_____ 24

Chunks:
  TruePositive nam [2,2] = Rustlera (confidence=0.90)

(ChunkerEvaluator) Sentence #719 from 00102392 from sent12

Text  : Jest możliwość dokupienia szczelnej w 100 % osłony zębatek firmy RPM ._
Tokens: 1___ 2________ 3_________ 4________ 5 6__ 7 8_____ 9______ 10___ 11_ 12

Chunks:
  TruePositive nam [11,11] = RPM (confidence=1.00)

(ChunkerEvaluator) Sentence #720 from 00102392 from sent13

Text  : Rustler dostarczany jest z dwukanałową aparaturą Traxxas TQ .
Tokens: 1______ 2__________ 3___ 4 5__________ 6________ 7______ 8_ 9

Chunks:
  TruePositive nam [1,1] = Rustler (confidence=0.69)
  TruePositive nam [7,8] = Traxxas TQ (confidence=0.98)

(ChunkerEvaluator) Sentence #721 from 00102392 from sent14

Text  : Nadajnik wyróżnia się dobrą jak na standardy RTR jakością wykonania ._
Tokens: 1_______ 2_______ 3__ 4____ 5__ 6_ 7________ 8__ 9_______ 10_______ 11

Chunks:
  FalsePositive nam [8,8] = RTR (confidence=0.90) (incorrect boundry)

(ChunkerEvaluator) Sentence #722 from 00102392 from sent15

Text  : Gąbka na kierownicy jest trwała i zapewnia dobry uchwyt ._
Tokens: 1____ 2_ 3_________ 4___ 5_____ 6 7_______ 8____ 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #723 from 00102392 from sent16

Text  : Nadajnik oferuje jedynie najbardziej podstawowe funkcje : rewersy i trymetry na obydwu kanałach ._
Tokens: 1_______ 2______ 3______ 4__________ 5_________ 6______ 7 8______ 9 10______ 11 12____ 13______ 14

Chunks:

(ChunkerEvaluator) Sentence #724 from 00102392 from sent17

Text  : Serwo skrętu w starszych modelach to Traxxas # 2018 ._ w_ zmodernizowanym modelu #_ 3705 zastąpiono go szybszym i_ mocniejszym serwem Traxxas #_ 2055 ._ w_ obydwu przypadkach są to serwa o_ plastikowych zębatkach ._
Tokens: 1____ 2_____ 3 4________ 5_______ 6_ 7______ 8 9___ 10 11 12_____________ 13____ 14 15__ 16________ 17 18______ 19 20_________ 21____ 22_____ 23 24__ 25 26 27____ 28_________ 29 30 31___ 32 33__________ 34_______ 35

Chunks:
  TruePositive nam [7,7] = Traxxas (confidence=0.51)
  TruePositive nam [22,22] = Traxxas (confidence=0.75)
  FalseNegative nam [8,9] = # 2018
  FalseNegative nam [23,24] = # 2055

(ChunkerEvaluator) Sentence #725 from 00102392 from sent18

Text  : Prędzej czy później trzeba je wymienić na serwo o metalowych zębatkach ,_ ponieważ servo -_ saver Rustlera nie zapewnia plastikowym zębatkom serwa wystarczającej ochrony ._
Tokens: 1______ 2__ 3______ 4_____ 5_ 6_______ 7_ 8____ 9 10________ 11_______ 12 13______ 14___ 15 16___ 17______ 18_ 19______ 20_________ 21______ 22___ 23____________ 24_____ 25

Chunks:
  TruePositive nam [17,17] = Rustlera (confidence=0.99)

(ChunkerEvaluator) Sentence #726 from 00102392 from sent19

Text  : Dostarczane w wersjach # 3706 i # 3705 regulatory elektroniczne nie budzą zastrzeżeń ,_ zwłaszcza XL -_ 5_ jest godną polecenia ,_ nowoczesną konstrukcją ._
Tokens: 1__________ 2 3_______ 4 5___ 6 7 8___ 9_________ 10___________ 11_ 12___ 13________ 14 15_______ 16 17 18 19__ 20___ 21_______ 22 23________ 24_________ 25

Chunks:
  FalsePositive nam [16,18] = XL - 5 (confidence=0.95) (incorrect boundry)

(ChunkerEvaluator) Sentence #727 from 00102392 from sent20

Text  : Regulator mechaniczny z wersji # 3710 należy uznać raczej za przeżytek ._
Tokens: 1________ 2__________ 3 4_____ 5 6___ 7_____ 8____ 9_____ 10 11_______ 12

Chunks:

(ChunkerEvaluator) Sentence #728 from 00102392 from sent21

Text  : Karoseria i koła
Tokens: 1________ 2 3___

Chunks:

2017-06-14 20:06:34,076 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 50 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102394.xml
(ChunkerEvaluator) Sentence #729 from 00102394 from sent1

Text  : Dobrym sposobem na nadanie naszemu modelowi szczypty indywidualizmu jest użycie felg o_ unikalnym kolorze ._
Tokens: 1_____ 2_______ 3_ 4______ 5______ 6_______ 7_______ 8_____________ 9___ 10____ 11__ 12 13_______ 14_____ 15

Chunks:

(ChunkerEvaluator) Sentence #730 from 00102394 from sent2

Text  : Efekt taki możemy uzyskać kupując białe felgi i farbując je na wybrany kolor ._
Tokens: 1____ 2___ 3_____ 4______ 5______ 6____ 7____ 8 9_______ 10 11 12_____ 13___ 14

Chunks:

(ChunkerEvaluator) Sentence #731 from 00102394 from sent3

Text  : Dodatkowym zyskiem jest to , że białe felgi są zazwyczaj tańsze od ich chromowanych odpowiedników ._
Tokens: 1_________ 2______ 3___ 4_ 5 6_ 7____ 8____ 9_ 10_______ 11____ 12 13_ 14__________ 15___________ 16

Chunks:

(ChunkerEvaluator) Sentence #732 from 00102394 from sent4

Text  : Do farbowania nadają sie felgi oznaczone jako dyeable czyli farbowalne ._
Tokens: 1_ 2_________ 3_____ 4__ 5____ 6________ 7___ 8______ 9____ 10________ 11

Chunks:

(ChunkerEvaluator) Sentence #733 from 00102394 from sent5

Text  : Felgi takie produkowane są przez firmy Traxxas , RPM i_ wiele innych ._
Tokens: 1____ 2____ 3__________ 4_ 5____ 6____ 7______ 8 9__ 10 11___ 12____ 13

Chunks:
  TruePositive nam [7,7] = Traxxas (confidence=0.96)
  TruePositive nam [9,9] = RPM (confidence=0.74)

(ChunkerEvaluator) Sentence #734 from 00102394 from sent6

Text  : Poniżej opisana procedura została przetestowana felgach Traxxas # 3674 i_ #_ 3675 ._
Tokens: 1______ 2______ 3________ 4______ 5____________ 6______ 7______ 8 9___ 10 11 12__ 13

Chunks:
  FalsePositive nam [7,9] = Traxxas # 3674 (confidence=0.78) (incorrect boundry)
  FalseNegative nam [7,7] = Traxxas

(ChunkerEvaluator) Sentence #735 from 00102394 from sent7

Text  : Żeby zabarwić felgi potrzebny będzie barwnik do tkanin , do nabycia w_ sklepach z_ chemią gospodarczą ._
Tokens: 1___ 2_______ 3____ 4________ 5_____ 6______ 7_ 8_____ 9 10 11_____ 12 13______ 14 15____ 16_________ 17

Chunks:

(ChunkerEvaluator) Sentence #736 from 00102394 from sent8

Text  : My wykorzystali śmy barwnik do bawełny , stylonu , wiskozy i_ lnu (_ cena 1_ ._ 50 zł za torebkę 10g )_ ._
Tokens: 1_ 2___________ 3__ 4______ 5_ 6______ 7 8______ 9 10_____ 11 12_ 13 14__ 15 16 17 18 19 20_____ 21_ 22 23

Chunks:
  TruePositive nam [18,18] = zł (confidence=0.90)

(ChunkerEvaluator) Sentence #737 from 00102394 from sent9

Text  : Potrzebny też będzie garnek , coś do mieszania i kuchenka ._
Tokens: 1________ 2__ 3_____ 4_____ 5 6__ 7_ 8________ 9 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #738 from 00102394 from sent10

Text  : Uwaga , garnka nie da się już potem wykorzystać do niczego poza farbowaniem ._
Tokens: 1____ 2 3_____ 4__ 5_ 6__ 7__ 8____ 9__________ 10 11_____ 12__ 13_________ 14

Chunks:

(ChunkerEvaluator) Sentence #739 from 00102394 from sent11

Text  : Felgi czyścimy i odtłuszczamy za pomocą denaturatu .
Tokens: 1____ 2_______ 3 4___________ 5_ 6_____ 7_________ 8

Chunks:

(ChunkerEvaluator) Sentence #740 from 00102394 from sent12

Text  : Następnie zakładamy je na krótki sznurek i luźno wiążemy razem ._
Tokens: 1________ 2________ 3_ 4_ 5_____ 6______ 7 8____ 9______ 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #741 from 00102394 from sent13

Text  : Sznurek pozwoli nam na zanurzanie , wyciąganie i manewrowanie felgami w_ garnku ._
Tokens: 1______ 2______ 3__ 4_ 5_________ 6 7_________ 8 9___________ 10_____ 11 12____ 13

Chunks:

(ChunkerEvaluator) Sentence #742 from 00102394 from sent14

Text  : Do garnka wlewamy 1 litr wody .
Tokens: 1_ 2_____ 3______ 4 5___ 6___ 7

Chunks:

(ChunkerEvaluator) Sentence #743 from 00102394 from sent15

Text  : Garnek musi mieć nieco większą pojemność tak , aby zmieściły sie tam felgi i_ żeby w_ czasie gotowania woda z_ barwnikiem nie chlapała na kuchenkę ._
Tokens: 1_____ 2___ 3___ 4____ 5______ 6________ 7__ 8 9__ 10_______ 11_ 12_ 13___ 14 15__ 16 17____ 18_______ 19__ 20 21________ 22_ 23______ 24 25______ 26

Chunks:
  FalsePositive nam [1,1] = Garnek (confidence=0.65) (incorrect boundry)

(ChunkerEvaluator) Sentence #744 from 00102394 from sent16

Text  : My wykorzystali śmy garnek o pojemności około 1 . 5_ litra i_ farbowali śmy po dwie felgi na raz ._
Tokens: 1_ 2___________ 3__ 4_____ 5 6_________ 7____ 8 9 10 11___ 12 13_______ 14_ 15 16__ 17___ 18 19_ 20

Chunks:

(ChunkerEvaluator) Sentence #745 from 00102394 from sent17

Text  : Podgrzewamy wodę aż pojawią sie pierwsze bąbelki sygnalizujące początek wrzenia ._
Tokens: 1__________ 2___ 3_ 4______ 5__ 6_______ 7______ 8____________ 9_______ 10_____ 11

Chunks:

(ChunkerEvaluator) Sentence #746 from 00102394 from sent18

Text  : Ewentualnie przykręcamy nieco gaz , aby utrzymać wodę w tym stanie i_ uniknąć gwałtownego bulgotania ._
Tokens: 1__________ 2__________ 3____ 4__ 5 6__ 7_______ 8___ 9 10_ 11____ 12 13_____ 14_________ 15________ 16

Chunks:

(ChunkerEvaluator) Sentence #747 from 00102394 from sent19

Text  : Wsypujemy zawartość torebki z barwnikiem i dokładnie mieszamy .
Tokens: 1________ 2________ 3______ 4 5_________ 6 7________ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #748 from 00102394 from sent20

Text  : Jeśli chcemy uzyskać jasny kolor , możemy wsypać jedynie część zawartości torebki ._
Tokens: 1____ 2_____ 3______ 4____ 5____ 6 7_____ 8_____ 9______ 10___ 11________ 12_____ 13

Chunks:

(ChunkerEvaluator) Sentence #749 from 00102394 from sent21

Text  : Dodajemy 1 łyżkę stołową octu .
Tokens: 1_______ 2 3____ 4______ 5___ 6

Chunks:

(ChunkerEvaluator) Sentence #750 from 00102394 from sent22

Text  : Zanurzamy felgi w wodzie .
Tokens: 1________ 2____ 3 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #751 from 00102394 from sent23

Text  : Ważne jest , aby były całkowicie pod wodą , aby nie dotykały ścianek ani dna garnka ._
Tokens: 1____ 2___ 3 4__ 5___ 6_________ 7__ 8___ 9 10_ 11_ 12______ 13_____ 14_ 15_ 16____ 17

Chunks:

(ChunkerEvaluator) Sentence #752 from 00102394 from sent24

Text  : W miarę możliwości nie powinny też stykać się ze sobą ._
Tokens: 1 2____ 3_________ 4__ 5______ 6__ 7_____ 8__ 9_ 10__ 11

Chunks:

(ChunkerEvaluator) Sentence #753 from 00102394 from sent25

Text  : Felgi barwimy przez 10 do 30 min .
Tokens: 1____ 2______ 3____ 4_ 5_ 6_ 7__ 8

Chunks:

(ChunkerEvaluator) Sentence #754 from 00102394 from sent26

Text  : Dla wygody możemy je podwiesić na sznurku .
Tokens: 1__ 2_____ 3_____ 4_ 5________ 6_ 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #755 from 00102394 from sent27

Text  : Co jakiś czas warto wyciągnąć je i sprawdzić kolor ._
Tokens: 1_ 2____ 3___ 4____ 5________ 6_ 7 8________ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #756 from 00102394 from sent28

Text  : Im dłużej będziemy je gotować w barwniku , tym ciemniejszy uzyskamy kolor ._
Tokens: 1_ 2_____ 3_______ 4_ 5______ 6 7_______ 8 9__ 10_________ 11______ 12___ 13

Chunks:

(ChunkerEvaluator) Sentence #757 from 00102394 from sent29

Text  : Jeśli uzyskany kolor nas satysfakcjonuje , wyjmujemy felgi ( za sznurek )_ i_ spłukujemy je dokładnie pod zimną ,_ bieżąca wodą tak długo ,_ aż przestanie z_ nich spływać barwnik ._
Tokens: 1____ 2_______ 3____ 4__ 5______________ 6 7________ 8____ 9 10 11_____ 12 13 14________ 15 16_______ 17_ 18___ 19 20_____ 21__ 22_ 23___ 24 25 26________ 27 28__ 29_____ 30_____ 31

Chunks:

(ChunkerEvaluator) Sentence #758 from 00102394 from sent30

Text  : Po wyschnięciu są gotowe do użytku .
Tokens: 1_ 2__________ 3_ 4_____ 5_ 6_____ 7

Chunks:

2017-06-14 20:06:34,178 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 51 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102404.xml
(ChunkerEvaluator) Sentence #759 from 00102404 from sent1

Text  : W dniach 3 - 6 czerwca na MediaBarCamp spotkali się przedstawiciele mediów z_ Białorusi ,_ Ukrainy oraz Szwecji ._
Tokens: 1 2_____ 3 4 5 6______ 7_ 8___________ 9_______ 10_ 11_____________ 12____ 13 14_______ 15 16_____ 17__ 18_____ 19

Chunks:
  TruePositive nam [8,8] = MediaBarCamp (confidence=1.00)
  TruePositive nam [14,14] = Białorusi (confidence=1.00)
  TruePositive nam [16,16] = Ukrainy (confidence=1.00)
  TruePositive nam [18,18] = Szwecji (confidence=1.00)

(ChunkerEvaluator) Sentence #760 from 00102404 from sent2

Text  : Trzecia edycja imprezy odbyła się na Litwie .
Tokens: 1______ 2_____ 3______ 4_____ 5__ 6_ 7_____ 8

Chunks:
  TruePositive nam [7,7] = Litwie (confidence=1.00)

(ChunkerEvaluator) Sentence #761 from 00102404 from sent3

Text  : Podczas zjazdu omówiono nowe trendy , a także zaprezentowano projekty organizacji i_ instytucji ._
Tokens: 1______ 2_____ 3_______ 4___ 5_____ 6 7 8____ 9_____________ 10______ 11_________ 12 13________ 14

Chunks:

(ChunkerEvaluator) Sentence #762 from 00102404 from sent4

Text  : Pierwszego dnia miała miejsce dyskusja na temat bezpiecznego internetu ,_ efektywnego wykorzystania serwisów społecznościowych oraz blogów ._
Tokens: 1_________ 2___ 3____ 4______ 5_______ 6_ 7____ 8___________ 9________ 10 11_________ 12___________ 13______ 14_______________ 15__ 16____ 17

Chunks:
  TruePositive nam [9,9] = internetu (confidence=0.67)

(ChunkerEvaluator) Sentence #763 from 00102404 from sent5

Text  : Następnego dnia eksperci od nowych mediów i znani blogerzy przeprowadzili warsztaty ,_ podczas których uczyli zebranych promować oraz rozwijać produkty medialne ._
Tokens: 1_________ 2___ 3_______ 4_ 5_____ 6_____ 7 8____ 9_______ 10____________ 11_______ 12 13_____ 14_____ 15____ 16_______ 17______ 18__ 19______ 20______ 21______ 22

Chunks:

(ChunkerEvaluator) Sentence #764 from 00102404 from sent6

Text  : Na MediaBarCamp byli obecni również przedstawiciele Fundacji Nowe Media ,_ którzy zaprezentowali projekty :_ mammedia.org i_ elekcyi.org oraz przeprowadzili dwa warsztaty ._
Tokens: 1_ 2___________ 3___ 4_____ 5______ 6______________ 7_______ 8___ 9____ 10 11____ 12____________ 13______ 14 15__________ 16 17_________ 18__ 19____________ 20_ 21_______ 22

Chunks:
  TruePositive nam [2,2] = MediaBarCamp (confidence=0.95)
  TruePositive nam [7,9] = Fundacji Nowe Media (confidence=1.00)
  FalsePositive nam [15,17] = mammedia.org i elekcyi.org (confidence=0.97) (incorrect boundry)
  FalseNegative nam [15,15] = mammedia.org
  FalseNegative nam [17,17] = elekcyi.org

(ChunkerEvaluator) Sentence #765 from 00102404 from sent7

Text  : Efektem szkolenia był , stworzony przez uczestników z Ukrainy ,_ qmam MediaBarCamp -_ 2010 ._
Tokens: 1______ 2________ 3__ 4 5________ 6____ 7__________ 8 9______ 10 11__ 12__________ 13 14__ 15

Chunks:
  TruePositive nam [9,9] = Ukrainy (confidence=1.00)
  TruePositive nam [12,14] = MediaBarCamp - 2010 (confidence=0.95)

(ChunkerEvaluator) Sentence #766 from 00102404 from sent8

Text  : Ponadto nawiązali śmy współpracę z panem Alaksiejem Krywałapem , jednym z_ organizatorów MediaBarCamp ,_ wykładowcą Europejskiego Uniwersytetu Humanistycznego w_ Wilnie ._
Tokens: 1______ 2________ 3__ 4_________ 5 6____ 7_________ 8_________ 9 10____ 11 12___________ 13__________ 14 15________ 16___________ 17__________ 18_____________ 19 20____ 21

Chunks:
  TruePositive nam [7,8] = Alaksiejem Krywałapem (confidence=1.00)
  TruePositive nam [13,13] = MediaBarCamp (confidence=1.00)
  TruePositive nam [16,18] = Europejskiego Uniwersytetu Humanistycznego (confidence=1.00)
  TruePositive nam [20,20] = Wilnie (confidence=1.00)

2017-06-14 20:06:34,218 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 52 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102409.xml
(ChunkerEvaluator) Sentence #767 from 00102409 from sent1

Text  : Od września 2010 roku realizowany jest projekt I edycji Szkoły Młodzieżowej Akcji Multimedialnej ._
Tokens: 1_ 2_______ 3___ 4___ 5__________ 6___ 7______ 8 9_____ 10____ 11__________ 12___ 13____________ 14

Chunks:
  TruePositive nam [10,13] = Szkoły Młodzieżowej Akcji Multimedialnej (confidence=1.00)

(ChunkerEvaluator) Sentence #768 from 00102409 from sent2

Text  : Bierze w nim udział 10 redakcji Qmamów wybranych w czasie rekrutacji ._
Tokens: 1_____ 2 3__ 4_____ 5_ 6_______ 7_____ 8________ 9 10____ 11________ 12

Chunks:
  FalseNegative nam [7,7] = Qmamów

(ChunkerEvaluator) Sentence #769 from 00102409 from sent3

Text  : Poniżej lista wybranych redakcji :
Tokens: 1______ 2____ 3________ 4_______ 5

Chunks:

(ChunkerEvaluator) Sentence #770 from 00102409 from sent4

Text  : Bez tytułu Reaktywacja , Raciąż Elektrowstrząsss , Radomsko Fenomenik ,_ Wola Rębkowska Kopernik News ,_ Częstochowa Look ,_ Sokółka MP4 ,_ Kościerzyna Nowy Łosiu ,_ Opole Propaganda ,_ Legionowo Rewelacje ,_ Knurów SQL News ,_ Lubaczów
Tokens: 1__ 2_____ 3__________ 4 5_____ 6_______________ 7 8_______ 9________ 10 11__ 12_______ 13______ 14__ 15 16_________ 17__ 18 19_____ 20_ 21 22_________ 23__ 24___ 25 26___ 27________ 28 29_______ 30_______ 31 32____ 33_ 34__ 35 36______

Chunks:
  TruePositive nam [3,3] = Reaktywacja (confidence=0.95)
  TruePositive nam [5,6] = Raciąż Elektrowstrząsss (confidence=0.94)
  TruePositive nam [8,9] = Radomsko Fenomenik (confidence=1.00)
  TruePositive nam [16,17] = Częstochowa Look (confidence=1.00)
  TruePositive nam [19,20] = Sokółka MP4 (confidence=1.00)
  TruePositive nam [22,24] = Kościerzyna Nowy Łosiu (confidence=1.00)
  TruePositive nam [26,27] = Opole Propaganda (confidence=1.00)
  TruePositive nam [29,30] = Legionowo Rewelacje (confidence=1.00)
  TruePositive nam [32,34] = Knurów SQL News (confidence=1.00)
  TruePositive nam [36,36] = Lubaczów (confidence=0.98)
  FalsePositive nam [11,12] = Wola Rębkowska (confidence=0.90) (incorrect boundry)
  FalsePositive nam [13,14] = Kopernik News (confidence=0.76) (incorrect boundry)
  FalseNegative nam [11,14] = Wola Rębkowska Kopernik News

(ChunkerEvaluator) Sentence #771 from 00102409 from sent5

Text  : Uczestnikom Szkoły MAM Fundacja gwarantuje przeprowadzenie 6 - do końca czerwca 2011 r_ ._ bezpłatnych szkoleń z_ zakresu komunikacji ,_ wiedzy o_ mediach ,_ gatunkach dziennikarskich ,_ prawa autorskiego i_ prasowego ._
Tokens: 1__________ 2_____ 3__ 4_______ 5_________ 6______________ 7 8 9_ 10___ 11_____ 12__ 13 14 15_________ 16_____ 17 18_____ 19_________ 20 21____ 22 23_____ 24 25_______ 26_____________ 27 28___ 29_________ 30 31_______ 32

Chunks:
  FalsePositive nam [2,4] = Szkoły MAM Fundacja (confidence=0.73) (incorrect boundry)
  FalseNegative nam [2,3] = Szkoły MAM
  FalseNegative nam [4,4] = Fundacja

(ChunkerEvaluator) Sentence #772 from 00102409 from sent6

Text  : Celem zajęć jest przygotowanie młodzieży do świadomego i krytycznego korzystania z_ mediów oraz stworzenie lokalnych ,_ młodzieżowych multimedialnych centrów informacji ._
Tokens: 1____ 2____ 3___ 4____________ 5________ 6_ 7_________ 8 9__________ 10_________ 11 12____ 13__ 14________ 15_______ 16 17___________ 18_____________ 19_____ 20________ 21

Chunks:

(ChunkerEvaluator) Sentence #773 from 00102409 from sent7

Text  : Projekt zakłada , że w czasie realizacji ale także po nim młodzież będzie potrafiła zgodnie z_ zasadami sztuki i_ etyki informować o_ tym ,_ co się wokół niej -_ w_ mieście ,_ na podwórku ,_ osiedlu ,_ domu kultury ,_ czy w_ szkole dzieje ._
Tokens: 1______ 2______ 3 4_ 5 6_____ 7_________ 8__ 9____ 10 11_ 12______ 13____ 14_______ 15_____ 16 17______ 18____ 19 20___ 21________ 22 23_ 24 25 26_ 27___ 28__ 29 30 31_____ 32 33 34______ 35 36_____ 37 38__ 39_____ 40 41_ 42 43____ 44____ 45

Chunks:

(ChunkerEvaluator) Sentence #774 from 00102409 from sent8

Text  : Każdy warsztat kończy się opublikowaniem numeru Qmama , multimedialnej e_ -_ gazety dostępnej w_ serwisie www.mam.media.pl
Tokens: 1____ 2_______ 3_____ 4__ 5_____________ 6_____ 7____ 8 9_____________ 10 11 12____ 13_______ 14 15______ 16______________

Chunks:
  TruePositive nam [7,7] = Qmama (confidence=0.99)
  TruePositive nam [16,16] = www.mam.media.pl (confidence=0.98)

(ChunkerEvaluator) Sentence #775 from 00102409 from sent9

Text  : Poniżej dotychczas opublikowane Qmamy w ramach Szkoły MAM .
Tokens: 1______ 2_________ 3___________ 4____ 5 6_____ 7_____ 8__ 9

Chunks:
  TruePositive nam [4,4] = Qmamy (confidence=0.97)
  TruePositive nam [7,8] = Szkoły MAM (confidence=0.99)

(ChunkerEvaluator) Sentence #776 from 00102409 from sent10

Text  : Szkolenia dla redakcji SQL NEWS z Lubaczowa odbywają się dzięki wsparciu finansowego Fundacji PGNiG
Tokens: 1________ 2__ 3_______ 4__ 5___ 6 7________ 8_______ 9__ 10____ 11______ 12_________ 13______ 14___

Chunks:
  TruePositive nam [4,5] = SQL NEWS (confidence=0.99)
  TruePositive nam [7,7] = Lubaczowa (confidence=1.00)
  TruePositive nam [13,14] = Fundacji PGNiG (confidence=1.00)

2017-06-14 20:06:34,273 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 53 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102422.xml
(ChunkerEvaluator) Sentence #777 from 00102422 from sent1

Text  : Dominik Batorski o “ komputerowym modelu układu ”
Tokens: 1______ 2_______ 3 4 5___________ 6_____ 7_____ 8

Chunks:
  TruePositive nam [1,2] = Dominik Batorski (confidence=1.00)

(ChunkerEvaluator) Sentence #778 from 00102422 from sent2

Text  : Mirek pisał w piątek o naukowo - komputerowych badaniach nad “_ układem ”_ prowadzonych przez premiera Kaczyńskiego ._
Tokens: 1____ 2____ 3 4_____ 5 6______ 7 8____________ 9________ 10_ 11 12_____ 13 14__________ 15___ 16______ 17__________ 18

Chunks:
  TruePositive nam [1,1] = Mirek (confidence=0.99)
  TruePositive nam [17,17] = Kaczyńskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #779 from 00102422 from sent3

Text  : We wpisie pojawiło się nazwisko Dominika Batorskiego , socjologa specjalizującego się w_ badaniach sieci społecznej ._
Tokens: 1_ 2_____ 3_______ 4__ 5_______ 6_______ 7__________ 8 9________ 10______________ 11_ 12 13_______ 14___ 15________ 16

Chunks:
  TruePositive nam [6,7] = Dominika Batorskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #780 from 00102422 from sent4

Text  : Najwyraźniej jego osoba wielu osobom przyszła do głowy , bowiem na swoim blogu Dominik zamieścił oświadczenie ,_ że to nie on jest autorem tych badań ._
Tokens: 1___________ 2___ 3____ 4____ 5_____ 6_______ 7_ 8____ 9 10____ 11 12___ 13___ 14_____ 15_______ 16__________ 17 18 19 20_ 21 22__ 23_____ 24__ 25___ 26

Chunks:
  TruePositive nam [14,14] = Dominik (confidence=1.00)

(ChunkerEvaluator) Sentence #781 from 00102422 from sent5

Text  : Przy okazji ciekawie pisze o “ układzie ” badanym przez rząd -_ oraz o_ istnieniu “_ układu IV RP ”_ :_
Tokens: 1___ 2_____ 3_______ 4____ 5 6 7_______ 8 9______ 10___ 11__ 12 13__ 14 15_______ 16 17____ 18 19 20 21

Chunks:
  FalsePositive nam [18,19] = IV RP (confidence=1.00) (incorrect boundry)
  FalseNegative nam [19,19] = RP

(ChunkerEvaluator) Sentence #782 from 00102422 from sent6

Text  : “ Posługując się takimi samymi lub podobnymi narzędziami można bowiem pokazać również istnienie układu IV RP ”_ ._
Tokens: 1 2_________ 3__ 4_____ 5_____ 6__ 7________ 8__________ 9____ 10____ 11_____ 12_____ 13_______ 14____ 15 16 17 18

Chunks:
  FalsePositive nam [15,16] = IV RP (confidence=1.00) (incorrect boundry)
  FalseNegative nam [16,16] = RP

(ChunkerEvaluator) Sentence #783 from 00102422 from sent7

Text  : “ Samo jednak istnienie takich układów nie znaczy , że są one patologią ._
Tokens: 1 2___ 3_____ 4________ 5_____ 6______ 7__ 8_____ 9 10 11 12_ 13_______ 14

Chunks:

(ChunkerEvaluator) Sentence #784 from 00102422 from sent8

Text  : Choć w obu wspomnianych wyżej przypadkach patologie na pewno by się znalazły ”_ ._
Tokens: 1___ 2 3__ 4___________ 5____ 6__________ 7________ 8_ 9____ 10 11_ 12______ 13 14

Chunks:

(ChunkerEvaluator) Sentence #785 from 00102422 from sent9

Text  : Na koniec jedna jeszcze obserwacja .
Tokens: 1_ 2_____ 3____ 4______ 5_________ 6

Chunks:

(ChunkerEvaluator) Sentence #786 from 00102422 from sent10

Text  : Temat jest ciekawy , bo pokazuje , że nie jest prawdą ,_ że rząd polski kompletnie nie radzi sobie z_ informatyzacją i_ wykorzystaniem nowych technologii ._
Tokens: 1____ 2___ 3______ 4 5_ 6_______ 7 8_ 9__ 10__ 11____ 12 13 14__ 15____ 16________ 17_ 18___ 19___ 20 21____________ 22 23____________ 24____ 25_________ 26

Chunks:

(ChunkerEvaluator) Sentence #787 from 00102422 from sent11

Text  : W rzeczywistości rozwój zachodzi , ale punktowo - nie rozwija się np ._ e_ -_ administracja ,_ kulejemy z_ dostępem powszechnym do sieci ._
Tokens: 1 2_____________ 3_____ 4_______ 5 6__ 7_______ 8 9__ 10_____ 11_ 12 13 14 15 16___________ 17 18______ 19 20______ 21_________ 22 23___ 24

Chunks:

(ChunkerEvaluator) Sentence #788 from 00102422 from sent12

Text  : Ale najwyraźniej rozwijają się techniki nadzoru z pomocą nowych mediów (_ czego dowodem jest multimedialna prezentacja zorganizowana w_ piątek przez prokuraturę )_ ,_ stosuje się też nowoczesne metody analizy sieci społecznych (_ jednak jeśli tak dalej pójdzie ,_ to zamiast “_ sieć ”_ przyjmie się w_ Polsce termin “_ układ społeczny ”_ ._
Tokens: 1__ 2___________ 3________ 4__ 5_______ 6______ 7 8_____ 9_____ 10____ 11 12___ 13_____ 14__ 15___________ 16_________ 17___________ 18 19____ 20___ 21_________ 22 23 24_____ 25_ 26_ 27________ 28____ 29_____ 30___ 31_________ 32 33____ 34___ 35_ 36___ 37_____ 38 39 40_____ 41 42__ 43 44______ 45_ 46 47____ 48____ 49 50___ 51_______ 52 53

Chunks:
  TruePositive nam [47,47] = Polsce (confidence=0.98)

(ChunkerEvaluator) Sentence #789 from 00102422 from sent13

Text  : Termin , który sam w sobie jest neutralny , ale w_ Polsce nabrał złowieszczego brzmienia ._
Tokens: 1_____ 2 3____ 4__ 5 6____ 7___ 8________ 9 10_ 11 12____ 13____ 14___________ 15_______ 16

Chunks:
  TruePositive nam [12,12] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #790 from 00102422 from sent14

Text  : Myślę , że pilnie w Polsce potrzeba nam badaczy zajmujących się tą stroną wykorzystania nowych technologii w_ Polsce -_ np ._ tematyką “_ surveillance ”_ ,_ o_ której w_ Polsce cicho -_ gdy tymczasem ,_ gdzieś w_ tle ,_ kamery pilnie pracują ._
Tokens: 1____ 2 3_ 4_____ 5 6_____ 7_______ 8__ 9______ 10_________ 11_ 12 13____ 14___________ 15____ 16_________ 17 18____ 19 20 21 22______ 23 24__________ 25 26 27 28____ 29 30____ 31___ 32 33_ 34_______ 35 36____ 37 38_ 39 40____ 41____ 42_____ 43

Chunks:
  TruePositive nam [6,6] = Polsce (confidence=1.00)
  TruePositive nam [18,18] = Polsce (confidence=1.00)
  TruePositive nam [30,30] = Polsce (confidence=1.00)

2017-06-14 20:06:34,355 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 54 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102439.xml
(ChunkerEvaluator) Sentence #791 from 00102439 from sent1

Text  : Bardzo podoba mi się idea bloga dwuścieżkowego ( taki jak np ._ imaginery.pl )_ -_ jedna ścieżka dla dłuższych tekstów ,_ druga ścieżka dla krótkich notek i_ linków ._
Tokens: 1_____ 2_____ 3_ 4__ 5___ 6____ 7_____________ 8 9___ 10_ 11 12 13__________ 14 15 16___ 17_____ 18_ 19_______ 20_____ 21 22___ 23_____ 24_ 25______ 26___ 27 28____ 29

Chunks:
  TruePositive nam [13,13] = imaginery.pl (confidence=0.95)

(ChunkerEvaluator) Sentence #792 from 00102439 from sent2

Text  : Mógł by m w tą drugą wrzucać takie notki jak ta :_
Tokens: 1___ 2_ 3 4 5_ 6____ 7______ 8____ 9____ 10_ 11 12

Chunks:

(ChunkerEvaluator) Sentence #793 from 00102439 from sent3

Text  : Przeglądał em właśnie wywiad z projektantem czcionek Cyrusem Highsmithem i_ znalazł em w_ nim cytat ,_ który w_ dwóch zdaniach chwyta wszystko co straszne i_ wspaniałe w_ kulturze internetowej ._
Tokens: 1_________ 2_ 3______ 4_____ 5 6___________ 7_______ 8______ 9__________ 10 11_____ 12 13 14_ 15___ 16 17___ 18 19___ 20______ 21____ 22______ 23 24______ 25 26_______ 27 28______ 29__________ 30

Chunks:
  TruePositive nam [8,9] = Cyrusem Highsmithem (confidence=1.00)

(ChunkerEvaluator) Sentence #794 from 00102439 from sent4

Text  : Straszny jest pierwszy impuls twórcy stykającego się z internetem :_
Tokens: 1_______ 2___ 3_______ 4_____ 5_____ 6__________ 7__ 8 9_________ 10

Chunks:
  TruePositive nam [9,9] = internetem (confidence=0.89)

(ChunkerEvaluator) Sentence #795 from 00102439 from sent5

Text  : “ Ale czemuż by tego nie opublikować ?
Tokens: 1 2__ 3_____ 4_ 5___ 6__ 7__________ 8

Chunks:

(ChunkerEvaluator) Sentence #796 from 00102439 from sent6

Text  : Cyfrowe [ czcionki ] nie zajmują zbyt wiele miejsca ”_ ._
Tokens: 1______ 2 3_______ 4 5__ 6______ 7___ 8____ 9______ 10 11

Chunks:

(ChunkerEvaluator) Sentence #797 from 00102439 from sent7

Text  : ( W miejsce czcionek można oczywiście wstawić cokolwiek ) ._
Tokens: 1 2 3______ 4_______ 5____ 6_________ 7______ 8________ 9 10

Chunks:

(ChunkerEvaluator) Sentence #798 from 00102439 from sent8

Text  : A po nim następuje jedyne rozsądne wytłumaczenie dla wrzucania do sieci co się da :_
Tokens: 1 2_ 3__ 4________ 5_____ 6_______ 7____________ 8__ 9________ 10 11___ 12 13_ 14 15

Chunks:

(ChunkerEvaluator) Sentence #799 from 00102439 from sent9

Text  : “ Lubię obserwować , co ludzie z tym zrobią ”_
Tokens: 1 2____ 3_________ 4 5_ 6_____ 7 8__ 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #800 from 00102439 from sent10

Text  : Pytanie tylko , czy ekstaza towarzysząca obcowaniu z arcydziełami kultury remiksu ,_ która raz na pewien czas z_ rzeczy nijakich tworzy perełki ,_ przebija udrękę powodowaną obcowaniem z_ szybko narastającą masą maleńkich rzeczy (_ jak ta notka !_ )_ sumujących się w_ przytłaczające wszystko ._
Tokens: 1______ 2____ 3 4__ 5______ 6___________ 7________ 8 9___________ 10_____ 11_____ 12 13___ 14_ 15 16____ 17__ 18 19____ 20______ 21____ 22_____ 23 24______ 25____ 26________ 27________ 28 29____ 30_________ 31__ 32_______ 33____ 34 35_ 36 37___ 38 39 40________ 41_ 42 43____________ 44______ 45

Chunks:

2017-06-14 20:06:34,401 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 55 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102444.xml
(ChunkerEvaluator) Sentence #801 from 00102444 from sent1

Text  : “ To , co się tutaj zdarzyło , jest mało zabawne ,_ ale na tym polega problem z_ internetem ._
Tokens: 1 2_ 3 4_ 5__ 6____ 7_______ 8 9___ 10__ 11_____ 12 13_ 14 15_ 16____ 17_____ 18 19________ 20

Chunks:
  TruePositive nam [19,19] = internetem (confidence=0.99)

(ChunkerEvaluator) Sentence #802 from 00102444 from sent2

Text  : Rzeczy przemieszczają się zbyt prędko ” .
Tokens: 1_____ 2_____________ 3__ 4___ 5_____ 6 7

Chunks:

(ChunkerEvaluator) Sentence #803 from 00102444 from sent3

Text  : Tak stwierdził Jean - Michel Rheault , jeden z uczniów ,_ który w_ 2003 roku wrzucił do internetu nagranie innego ucznia ,_ Ghyslaina Razy ,_ udającego że jest wojownikiem Jedi z_ Gwiezdnych Wojen ._
Tokens: 1__ 2_________ 3___ 4 5_____ 6______ 7 8____ 9 10_____ 11 12___ 13 14__ 15__ 16_____ 17 18_______ 19______ 20____ 21____ 22 23_______ 24__ 25 26_______ 27 28__ 29_________ 30__ 31 32________ 33___ 34

Chunks:
  TruePositive nam [3,6] = Jean - Michel Rheault (confidence=1.00)
  TruePositive nam [18,18] = internetu (confidence=0.99)
  TruePositive nam [23,24] = Ghyslaina Razy (confidence=1.00)
  TruePositive nam [30,30] = Jedi (confidence=1.00)
  TruePositive nam [32,33] = Gwiezdnych Wojen (confidence=0.89)

(ChunkerEvaluator) Sentence #804 from 00102444 from sent4

Text  : Nagranie Razy , ochrzczonego mianem “ Star Wars Kid ”_ ,_ zostało obejrzane miliony razy -_ uczniowie ,_ którzy do tego doprowadzili zaplanowali swój psikus w_ skali szkoły ._
Tokens: 1_______ 2___ 3 4___________ 5_____ 6 7___ 8___ 9__ 10 11 12_____ 13_______ 14_____ 15__ 16 17_______ 18 19____ 20 21__ 22__________ 23_________ 24__ 25____ 26 27___ 28____ 29

Chunks:
  TruePositive nam [7,9] = Star Wars Kid (confidence=1.00)
  FalseNegative nam [2,2] = Razy

(ChunkerEvaluator) Sentence #805 from 00102444 from sent5

Text  : “ Mało zabawne ” napięcie między małym i lokalnym ,_ a_ dużym i_ globalnym ,_ powodowane przez “_ zbyt prędki ”_ internet ,_ jest jednym z_ podstawowych skutków tego medium ,_ które jako użytkownicy nie do końca potrafimy uchwycić ?_
Tokens: 1 2___ 3______ 4 5_______ 6_____ 7____ 8 9_______ 10 11 12___ 13 14_______ 15 16________ 17___ 18 19__ 20____ 21 22______ 23 24__ 25____ 26 27__________ 28_____ 29__ 30____ 31 32___ 33__ 34_________ 35_ 36 37___ 38_______ 39______ 40

Chunks:
  TruePositive nam [22,22] = internet (confidence=0.99)
  FalsePositive nam [2,3] = Mało zabawne (confidence=0.53) (incorrect boundry)

2017-06-14 20:06:34,435 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 56 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102463.xml
(ChunkerEvaluator) Sentence #806 from 00102463 from sent1

Text  : Turniej finałowy w piłce siatkowej w grupie KADET W dniach 8_ -_ 10 luty br ._ w_ Hali Sportowej MOSiR odbędzie się turniej finałowy w_ piłce siatkowej w_ grupie KADET o_ wejście do ćwierćfinałów Mistrzostw Polski ._
Tokens: 1______ 2_______ 3 4____ 5________ 6 7_____ 8____ 9 10____ 11 12 13 14__ 15 16 17 18__ 19_______ 20___ 21______ 22_ 23_____ 24______ 25 26___ 27_______ 28 29____ 30___ 31 32_____ 33 34___________ 35________ 36____ 37

Chunks:
  TruePositive nam [18,20] = Hali Sportowej MOSiR (confidence=1.00)
  TruePositive nam [35,36] = Mistrzostw Polski (confidence=0.99)
  FalsePositive nam [8,8] = KADET (confidence=1.00) (incorrect boundry)
  FalsePositive nam [30,30] = KADET (confidence=0.83) (incorrect boundry)

(ChunkerEvaluator) Sentence #807 from 00102463 from sent2

Text  : Udział w turnieju z województwa łódzkiego zapewniły sobie drużyny :_ Bzura Ozorków ,_ Wiking Tomaszów Mazowiecki ,_ Skra Bełchatów i_ Wifama Łódź ._
Tokens: 1_____ 2 3_______ 4 5__________ 6________ 7________ 8____ 9______ 10 11___ 12_____ 13 14____ 15______ 16________ 17 18__ 19_______ 20 21____ 22__ 23

Chunks:
  TruePositive nam [6,6] = łódzkiego (confidence=0.97)
  TruePositive nam [11,12] = Bzura Ozorków (confidence=1.00)
  TruePositive nam [14,16] = Wiking Tomaszów Mazowiecki (confidence=1.00)
  TruePositive nam [18,19] = Skra Bełchatów (confidence=0.99)
  TruePositive nam [21,22] = Wifama Łódź (confidence=1.00)

(ChunkerEvaluator) Sentence #808 from 00102463 from sent3

Text  : Mecze odbędą się w następujących terminach : 08 . 02 ._ 2008 r_ ._ godz ._ 16 ._ 00 Bzura Ozorków -_ Skra Bełchtów ;_ godz ._ 18 ._ 00 Wiking -_ Wifama ;_ godz ._ 10 ._ 00 Skra –_ Wifama ;_ godz ._ 12 ._ 00 Bzura -_ Wiking ;_ 10 ._ 02 ._ 2008 r_ ._ godz ._ 10 ._ 00 Wiking -_ Skra ;_ godz ._ 12 ._ 00 Wifama -_ Bzura ._
Tokens: 1____ 2_____ 3__ 4 5____________ 6________ 7 8_ 9 10 11 12__ 13 14 15__ 16 17 18 19 20___ 21_____ 22 23__ 24______ 25 26__ 27 28 29 30 31____ 32 33____ 34 35__ 36 37 38 39 40__ 41 42____ 43 44__ 45 46 47 48 49___ 50 51____ 52 53 54 55 56 57__ 58 59 60__ 61 62 63 64 65____ 66 67__ 68 69__ 70 71 72 73 74____ 75 76___ 77

Chunks:
  TruePositive nam [20,21] = Bzura Ozorków (confidence=0.99)
  TruePositive nam [23,24] = Skra Bełchtów (confidence=0.99)
  TruePositive nam [31,31] = Wiking (confidence=0.96)
  TruePositive nam [33,33] = Wifama (confidence=0.97)
  TruePositive nam [40,40] = Skra (confidence=0.91)
  TruePositive nam [42,42] = Wifama (confidence=0.78)
  TruePositive nam [49,49] = Bzura (confidence=0.99)
  TruePositive nam [51,51] = Wiking (confidence=0.94)
  TruePositive nam [65,65] = Wiking (confidence=0.88)
  TruePositive nam [74,74] = Wifama (confidence=0.57)
  TruePositive nam [76,76] = Bzura (confidence=0.95)
  FalseNegative nam [67,67] = Skra

(ChunkerEvaluator) Sentence #809 from 00102463 from sent4

Text  : Trenerem naszego zespołu jest mgr Sławomir Pachnowski .
Tokens: 1_______ 2______ 3______ 4___ 5__ 6_______ 7_________ 8

Chunks:
  TruePositive nam [6,7] = Sławomir Pachnowski (confidence=1.00)

(ChunkerEvaluator) Sentence #810 from 00102463 from sent5

Text  : Skład drużyny : Adrin Bartczak , Piotr Dośpiał , Dominik Gabrysiak ,_ Maciej Karolak ,_ Jakub Majchrzak ,_ Kamil Palmowski ,_ Olaf Pisera ,_ Damian Sobczak ,_ Mateusz Sobczak ,_ Damian Wdowiak ,_ Rafał Bielawski ._
Tokens: 1____ 2______ 3 4____ 5_______ 6 7____ 8______ 9 10_____ 11_______ 12 13____ 14_____ 15 16___ 17_______ 18 19___ 20_______ 21 22__ 23____ 24 25____ 26_____ 27 28_____ 29_____ 30 31____ 32_____ 33 34___ 35_______ 36

Chunks:
  TruePositive nam [4,5] = Adrin Bartczak (confidence=1.00)
  TruePositive nam [7,8] = Piotr Dośpiał (confidence=1.00)
  TruePositive nam [10,11] = Dominik Gabrysiak (confidence=1.00)
  TruePositive nam [13,14] = Maciej Karolak (confidence=1.00)
  TruePositive nam [16,17] = Jakub Majchrzak (confidence=1.00)
  TruePositive nam [19,20] = Kamil Palmowski (confidence=1.00)
  TruePositive nam [22,23] = Olaf Pisera (confidence=1.00)
  TruePositive nam [25,26] = Damian Sobczak (confidence=1.00)
  TruePositive nam [28,29] = Mateusz Sobczak (confidence=1.00)
  TruePositive nam [31,32] = Damian Wdowiak (confidence=1.00)
  TruePositive nam [34,35] = Rafał Bielawski (confidence=1.00)

(ChunkerEvaluator) Sentence #811 from 00102463 from sent6

Text  : MOSiR i MKS Bzura zapraszają wszystkich sympatyków piłki sitkowej na mecze ww ._ terminach ._
Tokens: 1____ 2 3__ 4____ 5_________ 6_________ 7_________ 8____ 9_______ 10 11___ 12 13 14_______ 15

Chunks:
  TruePositive nam [3,4] = MKS Bzura (confidence=0.99)
  FalseNegative nam [1,1] = MOSiR

(ChunkerEvaluator) Sentence #812 from 00102463 from sent7

Text  : Ze sportowym pozdrowieniem Dyrektor MOSiR i Kierownik MKS Bzura
Tokens: 1_ 2________ 3____________ 4_______ 5____ 6 7________ 8__ 9____

Chunks:
  TruePositive nam [4,5] = Dyrektor MOSiR (confidence=0.95)
  FalsePositive nam [8,9] = MKS Bzura (confidence=0.88) (incorrect boundry)
  FalseNegative nam [7,9] = Kierownik MKS Bzura

2017-06-14 20:06:34,487 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 57 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102477.xml
(ChunkerEvaluator) Sentence #813 from 00102477 from sent1

Text  : Miejska Biblioteka Publiczna im . K . K . Baczyńskiego w_ Ozorkowie zaprasza na wernisaż wystawy malarstwa olejnego i_ grafik Pawła Jaszczaka ._
Tokens: 1______ 2_________ 3________ 4_ 5 6 7 8 9 10__________ 11 12_______ 13______ 14 15______ 16_____ 17_______ 18______ 19 20____ 21___ 22_______ 23

Chunks:
  TruePositive nam [1,10] = Miejska Biblioteka Publiczna im . K . K . Baczyńskiego (confidence=1.00)
  TruePositive nam [12,12] = Ozorkowie (confidence=1.00)
  TruePositive nam [21,22] = Pawła Jaszczaka (confidence=1.00)

(ChunkerEvaluator) Sentence #814 from 00102477 from sent2

Text  : Czytelnia przy ul . Listopadowej 6 , 22 listopada 2006 r_ ._ godz ._ 17 ._ 00 ._
Tokens: 1________ 2___ 3_ 4 5___________ 6 7 8_ 9________ 10__ 11 12 13__ 14 15 16 17 18

Chunks:
  TruePositive nam [5,5] = Listopadowej (confidence=0.99)

(ChunkerEvaluator) Sentence #815 from 00102477 from sent3

Text  : Wystawa potrwa do 5 grudnia 2006 r .
Tokens: 1______ 2_____ 3_ 4 5______ 6___ 7 8

Chunks:

(ChunkerEvaluator) Sentence #816 from 00102477 from sent4

Text  : Paweł Jaszczak - ozorkowianin , pracownik Teatru Nowego w Łodzi ._
Tokens: 1____ 2_______ 3 4___________ 5 6________ 7_____ 8_____ 9 10___ 11

Chunks:
  TruePositive nam [1,2] = Paweł Jaszczak (confidence=1.00)
  TruePositive nam [7,8] = Teatru Nowego (confidence=1.00)
  TruePositive nam [10,10] = Łodzi (confidence=0.99)
  FalseNegative nam [4,4] = ozorkowianin

(ChunkerEvaluator) Sentence #817 from 00102477 from sent5

Text  : Uczestniczył przy tworzeniu kilkudziesięciu spektakli teatralnych i telewizyjnych .
Tokens: 1___________ 2___ 3________ 4______________ 5________ 6__________ 7 8____________ 9

Chunks:

(ChunkerEvaluator) Sentence #818 from 00102477 from sent6

Text  : W swoich obrazach wzoruje się na malarstwie monachijskim Józefa Brandta ,_ Juliusza i_ Wojciecha Kossaków ,_ Alfreda Wierusz Kowalskiego ,_ ukazując sceny rodzajowe i_ batalistyczne ._
Tokens: 1 2_____ 3_______ 4______ 5__ 6_ 7_________ 8___________ 9_____ 10_____ 11 12______ 13 14_______ 15______ 16 17_____ 18_____ 19_________ 20 21______ 22___ 23_______ 24 25___________ 26

Chunks:
  TruePositive nam [9,10] = Józefa Brandta (confidence=0.98)
  TruePositive nam [12,12] = Juliusza (confidence=1.00)
  TruePositive nam [14,15] = Wojciecha Kossaków (confidence=1.00)
  TruePositive nam [17,19] = Alfreda Wierusz Kowalskiego (confidence=1.00)

2017-06-14 20:06:34,512 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 58 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102482.xml
(ChunkerEvaluator) Sentence #819 from 00102482 from sent1

Text  : Jak to zwykle zimą bywa , przerwa w rozgrywkach ligowych skłania do wzięcia udziału w_ turniejach halowej piłki nożnej ._
Tokens: 1__ 2_ 3_____ 4___ 5___ 6 7______ 8 9__________ 10______ 11_____ 12 13_____ 14_____ 15 16________ 17_____ 18___ 19____ 20

Chunks:

(ChunkerEvaluator) Sentence #820 from 00102482 from sent2

Text  : Nie inaczej będzie w przypadku Kotan Klubu , który już od 3_ litopada dzięki uprzejmości Dyrekcji Szkoły Podstawowej nr 162 w_ Łodzi oraz Chojeńskiego Klubu Sportowego Łódź trenuje w_ hali ,_ przygotowując się do udziału w_ XXII Otwartych Halowych Mistrzostwach Łodzi i_ Regionu Łódzkiego TKKF Golden Cup 2007 ._
Tokens: 1__ 2______ 3_____ 4 5________ 6____ 7____ 8 9____ 10_ 11 12 13______ 14____ 15_________ 16______ 17____ 18_________ 19 20_ 21 22___ 23__ 24__________ 25___ 26________ 27__ 28_____ 29 30__ 31 32___________ 33_ 34 35_____ 36 37__ 38_______ 39______ 40___________ 41___ 42 43_____ 44_______ 45__ 46____ 47_ 48__ 49

Chunks:
  TruePositive nam [6,7] = Kotan Klubu (confidence=1.00)
  FalsePositive nam [16,20] = Dyrekcji Szkoły Podstawowej nr 162 (confidence=1.00) (incorrect boundry)
  FalsePositive nam [22,22] = Łodzi (confidence=0.92) (incorrect boundry)
  FalsePositive nam [24,26] = Chojeńskiego Klubu Sportowego (confidence=0.75) (incorrect boundry)
  FalsePositive nam [27,27] = Łódź (confidence=0.78) (incorrect boundry)
  FalsePositive nam [37,41] = XXII Otwartych Halowych Mistrzostwach Łodzi (confidence=1.00) (incorrect boundry)
  FalsePositive nam [43,48] = Regionu Łódzkiego TKKF Golden Cup 2007 (confidence=0.97) (incorrect boundry)
  FalseNegative nam [16,22] = Dyrekcji Szkoły Podstawowej nr 162 w Łodzi
  FalseNegative nam [24,27] = Chojeńskiego Klubu Sportowego Łódź
  FalseNegative nam [37,48] = XXII Otwartych Halowych Mistrzostwach Łodzi i Regionu Łódzkiego TKKF Golden Cup 2007

(ChunkerEvaluator) Sentence #821 from 00102482 from sent3

Text  : W imprezie wezmą udział dwa zespoły złożone z zawodników Kotana ._
Tokens: 1 2_______ 3____ 4_____ 5__ 6______ 7______ 8 9_________ 10____ 11

Chunks:
  TruePositive nam [10,10] = Kotana (confidence=0.98)

(ChunkerEvaluator) Sentence #822 from 00102482 from sent4

Text  : Drużyny zostały zgłoszone pod nazwą Kotan Ozorków oraz Monar Łódź ._
Tokens: 1______ 2______ 3________ 4__ 5____ 6____ 7______ 8___ 9____ 10__ 11

Chunks:
  TruePositive nam [6,7] = Kotan Ozorków (confidence=1.00)
  TruePositive nam [9,10] = Monar Łódź (confidence=1.00)

(ChunkerEvaluator) Sentence #823 from 00102482 from sent5

Text  : Jednocześnie informujemy , iż chcieli by śmy nawiązać współpracę z_ doświadczonym bramkarzem ,_ który po sezonie halowym mógł by także bronić błękitno -_ białych barw w_ Klasie "_ B_ "_ ._
Tokens: 1___________ 2__________ 3 4_ 5______ 6_ 7__ 8_______ 9_________ 10 11___________ 12________ 13 14___ 15 16_____ 17_____ 18__ 19 20___ 21____ 22______ 23 24_____ 25__ 26 27____ 28 29 30 31

Chunks:
  FalsePositive nam [27,27] = Klasie (confidence=0.78) (incorrect boundry)

2017-06-14 20:06:34,546 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 59 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102504.xml
(ChunkerEvaluator) Sentence #824 from 00102504 from sent1

Text  : Budowa modelu Axial AX10 Scorpion
Tokens: 1_____ 2_____ 3____ 4___ 5_______

Chunks:
  TruePositive nam [3,5] = Axial AX10 Scorpion (confidence=1.00)

(ChunkerEvaluator) Sentence #825 from 00102504 from sent2

Text  : Przekładnia
Tokens: 1__________

Chunks:

(ChunkerEvaluator) Sentence #826 from 00102504 from sent3

Text  : [ 15 ] Przygotowujemy zębatki i ośki oraz obudowę przekładni ._
Tokens: 1 2_ 3 4_____________ 5______ 6 7___ 8___ 9______ 10________ 11

Chunks:

(ChunkerEvaluator) Sentence #827 from 00102504 from sent4

Text  : [ 16 - 17 ] Umieszczamy zębatki w obudowie według schematu z_ instrukcji i_ skręcamy obydwie połówki obudowy ._
Tokens: 1 2_ 3 4_ 5 6__________ 7______ 8 9_______ 10____ 11______ 12 13________ 14 15______ 16_____ 17_____ 18_____ 19

Chunks:

(ChunkerEvaluator) Sentence #828 from 00102504 from sent5

Text  : Następnie poprzez zielone dystanse AXA1307 przykręcamy przekładnię do mocowania silnika ._
Tokens: 1________ 2______ 3______ 4_______ 5______ 6__________ 7__________ 8_ 9________ 10_____ 11

Chunks:
  TruePositive nam [5,5] = AXA1307 (confidence=0.89)

(ChunkerEvaluator) Sentence #829 from 00102504 from sent6

Text  : i montujemy ją na wałek wejściowy przekładni .
Tokens: 1 2________ 3_ 4_ 5____ 6________ 7_________ 8

Chunks:

(ChunkerEvaluator) Sentence #830 from 00102504 from sent7

Text  : Montujemy , z użyciem na kleju do śrub , wały napędowe wychodzące z_ przekładni ._
Tokens: 1________ 2 3 4______ 5_ 6____ 7_ 8___ 9 10__ 11______ 12________ 13 14________ 15

Chunks:

(ChunkerEvaluator) Sentence #831 from 00102504 from sent8

Text  : Następnie przykręcamy przekładnię do podstawy .
Tokens: 1________ 2__________ 3__________ 4_ 5_______ 6

Chunks:

(ChunkerEvaluator) Sentence #832 from 00102504 from sent9

Text  : Potrzebne są do tego dwa rodzaje śrub : AXA694 o_ długości 8mm oraz AXA695 o_ długości 10mm ._
Tokens: 1________ 2_ 3_ 4___ 5__ 6______ 7___ 8 9_____ 10 11______ 12_ 13__ 14____ 15 16______ 17__ 18

Chunks:
  TruePositive nam [14,14] = AXA695 (confidence=0.74)
  FalseNegative nam [9,9] = AXA694

(ChunkerEvaluator) Sentence #833 from 00102504 from sent10

Text  : Ze względu na ryzyko pomylenia ich , producent umieścił je w_ osobnych woreczkach ._
Tokens: 1_ 2______ 3_ 4_____ 5________ 6__ 7 8________ 9_______ 10 11 12______ 13________ 14

Chunks:

2017-06-14 20:06:34,576 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 60 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102687.xml
(ChunkerEvaluator) Sentence #834 from 00102687 from sent1

Text  : xxx , dzień dobry
Tokens: 1__ 2 3____ 4____

Chunks:

(ChunkerEvaluator) Sentence #835 from 00102687 from sent2

Text  : FILLER dzień dobry , chciała m się dowiedzieć o ,_ z_ którego peronu odjeżdża eskaemka dzisiaj o_ dwudziestej drugiej zero trzy ze Dworca Zachodniego na Ursus
Tokens: 1_____ 2____ 3____ 4 5______ 6 7__ 8_________ 9 10 11 12_____ 13____ 14______ 15______ 16_____ 17 18_________ 19_____ 20__ 21__ 22 23____ 24_________ 25 26___

Chunks:
  TruePositive nam [23,24] = Dworca Zachodniego (confidence=0.99)
  TruePositive nam [26,26] = Ursus (confidence=0.98)

(ChunkerEvaluator) Sentence #836 from 00102687 from sent3

Text  : proszę pani , nie mam peronów podanych a momencik ._ ._ ._
Tokens: 1_____ 2___ 3 4__ 5__ 6______ 7_______ 8 9_______ 10 11 12

Chunks:

(ChunkerEvaluator) Sentence #837 from 00102687 from sent4

Text  : zaraz , zaraz , zaraz , zaraz , zaraz nie no nie ma podanych ._ ._ ._
Tokens: 1____ 2 3____ 4 5____ 6 7____ 8 9____ 10_ 11 12_ 13 14______ 15 16 17

Chunks:

(ChunkerEvaluator) Sentence #838 from 00102687 from sent5

Text  : a czwarty ?
Tokens: 1 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #839 from 00102687 from sent6

Text  : szósty a pani jedzie w którą stronę ?
Tokens: 1_____ 2 3___ 4_____ 5 6____ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #840 from 00102687 from sent7

Text  : z Zachodniego do Centrum ?
Tokens: 1 2__________ 3_ 4______ 5

Chunks:
  TruePositive nam [2,2] = Zachodniego (confidence=0.99)

(ChunkerEvaluator) Sentence #841 from 00102687 from sent8

Text  : na Ursus
Tokens: 1_ 2____

Chunks:
  TruePositive nam [2,2] = Ursus (confidence=1.00)

(ChunkerEvaluator) Sentence #842 from 00102687 from sent9

Text  : a na Ursus momencik . . .
Tokens: 1 2_ 3____ 4_______ 5 6 7

Chunks:
  TruePositive nam [3,3] = Ursus (confidence=0.99)

(ChunkerEvaluator) Sentence #843 from 00102687 from sent10

Text  : trzeci ?
Tokens: 1_____ 2

Chunks:

(ChunkerEvaluator) Sentence #844 from 00102687 from sent11

Text  : z trzeciego
Tokens: 1 2________

Chunks:

(ChunkerEvaluator) Sentence #845 from 00102687 from sent12

Text  : dziękuję bardzo
Tokens: 1_______ 2_____

Chunks:

(ChunkerEvaluator) Sentence #846 from 00102687 from sent13

Text  : proszę
Tokens: 1_____

Chunks:

2017-06-14 20:06:34,601 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 61 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103569.xml
(ChunkerEvaluator) Sentence #847 from 00103569 from sent1

Text  : - Wezwę pomoc !
Tokens: 1 2____ 3____ 4

Chunks:

(ChunkerEvaluator) Sentence #848 from 00103569 from sent2

Text  : - krzyknął Landau i razem ze zszokowanym spaślakiem popędzili w_ stronę rezydencji ._
Tokens: 1 2_______ 3_____ 4 5____ 6_ 7__________ 8_________ 9________ 10 11____ 12________ 13

Chunks:
  TruePositive nam [3,3] = Landau (confidence=1.00)

(ChunkerEvaluator) Sentence #849 from 00103569 from sent3

Text  : Trun wpał do hangaru .
Tokens: 1___ 2___ 3_ 4______ 5

Chunks:
  FalseNegative nam [1,1] = Trun

(ChunkerEvaluator) Sentence #850 from 00103569 from sent4

Text  : W pierwszej hali wszystko było we względnym porządku , poza biegnącymi pod dachem przeciążonymi przewodami ,_ z_ których sypały się skry ._
Tokens: 1 2________ 3___ 4_______ 5___ 6_ 7________ 8_______ 9 10__ 11________ 12_ 13____ 14___________ 15________ 16 17 18_____ 19____ 20_ 21__ 22

Chunks:

(ChunkerEvaluator) Sentence #851 from 00103569 from sent5

Text  : Trun przebiegł całą pierwszą salę do grodzi , która została zatrzaśnięta ._
Tokens: 1___ 2________ 3___ 4_______ 5___ 6_ 7_____ 8 9____ 10_____ 11__________ 12

Chunks:
  TruePositive nam [1,1] = Trun (confidence=0.91)

(ChunkerEvaluator) Sentence #852 from 00103569 from sent6

Text  : Hala serwisowa został odcięta od świata .
Tokens: 1___ 2________ 3_____ 4______ 5_ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #853 from 00103569 from sent7

Text  : Całym obiektem wstrząsały straszliwe uderzenia .
Tokens: 1____ 2_______ 3_________ 4_________ 5________ 6

Chunks:

(ChunkerEvaluator) Sentence #854 from 00103569 from sent8

Text  : Kold mógł sobie tylko wyobrazić , jakich zniszczeń dokonuje uszkodzony konstrukt ._
Tokens: 1___ 2___ 3____ 4____ 5________ 6 7_____ 8________ 9_______ 10________ 11_______ 12

Chunks:

(ChunkerEvaluator) Sentence #855 from 00103569 from sent9

Text  : Jedyną nadzieją na uspokojenie automatu było fizyczne odłączenie źródła energii od modułu naprawczego ._
Tokens: 1_____ 2_______ 3_ 4__________ 5_______ 6___ 7_______ 8_________ 9_____ 10_____ 11 12____ 13_________ 14

Chunks:

(ChunkerEvaluator) Sentence #856 from 00103569 from sent10

Text  : W tym momencie do hali wpadł tuzin najemników Landaua ._
Tokens: 1 2__ 3_______ 4_ 5___ 6____ 7____ 8_________ 9______ 10

Chunks:
  TruePositive nam [9,9] = Landaua (confidence=0.99)

(ChunkerEvaluator) Sentence #857 from 00103569 from sent11

Text  : Stanęli zdjęci zgrozą , bezsilni wobec rozszalałego żywiołu w drugiej sali ._
Tokens: 1______ 2_____ 3_____ 4 5_______ 6____ 7___________ 8______ 9 10_____ 11__ 12

Chunks:

(ChunkerEvaluator) Sentence #858 from 00103569 from sent12

Text  : Trun nie próżnował .
Tokens: 1___ 2__ 3________ 4

Chunks:
  TruePositive nam [1,1] = Trun (confidence=0.80)

(ChunkerEvaluator) Sentence #859 from 00103569 from sent13

Text  : Trzęsącymi się rękami przesuwał dźwignie pulpitów sterowniczych na stan zero i_ wybijał z_ uchwytów kryształy przewodzące ._
Tokens: 1_________ 2__ 3_____ 4________ 5_______ 6_______ 7____________ 8_ 9___ 10__ 11 12_____ 13 14______ 15_______ 16_________ 17

Chunks:

(ChunkerEvaluator) Sentence #860 from 00103569 from sent14

Text  : Nie chciał pozostawić żadnej szansy obłąkanemu konstruktowi , który właśnie zaczął dobierać się do grodzi ._
Tokens: 1__ 2_____ 3_________ 4_____ 5_____ 6_________ 7___________ 8 9____ 10_____ 11____ 12______ 13_ 14 15____ 16

Chunks:

(ChunkerEvaluator) Sentence #861 from 00103569 from sent15

Text  : Kiedy ostatni kryształ roztrzaskał się na ziemi , w hali serwisowej zapanowała cisza ._
Tokens: 1____ 2______ 3_______ 4__________ 5__ 6_ 7____ 8 9 10__ 11________ 12________ 13___ 14

Chunks:

(ChunkerEvaluator) Sentence #862 from 00103569 from sent16

Text  : Konstrukt był unieruchomiony .
Tokens: 1________ 2__ 3_____________ 4

Chunks:

(ChunkerEvaluator) Sentence #863 from 00103569 from sent17

Text  : Do hali wpadł Landau w obstawie swoich najlepszych ludzi ._
Tokens: 1_ 2___ 3____ 4_____ 5 6_______ 7_____ 8__________ 9____ 10

Chunks:
  TruePositive nam [4,4] = Landau (confidence=1.00)

(ChunkerEvaluator) Sentence #864 from 00103569 from sent18

Text  : Było z nim dwóch naczelnych magów , odpowiedzialnych za konfigurację automatów ._
Tokens: 1___ 2 3__ 4____ 5_________ 6____ 7 8_______________ 9_ 10__________ 11_______ 12

Chunks:

(ChunkerEvaluator) Sentence #865 from 00103569 from sent19

Text  : - Trun , otwieraj .
Tokens: 1 2___ 3 4_______ 5

Chunks:
  TruePositive nam [2,2] = Trun (confidence=0.73)

(ChunkerEvaluator) Sentence #866 from 00103569 from sent20

Text  : Musimy to posprzątać
Tokens: 1_____ 2_ 3_________

Chunks:

(ChunkerEvaluator) Sentence #867 from 00103569 from sent21

Text  : - zawołał Landau , wskazują na grodzie .
Tokens: 1 2______ 3_____ 4 5_______ 6_ 7______ 8

Chunks:
  TruePositive nam [3,3] = Landau (confidence=1.00)

(ChunkerEvaluator) Sentence #868 from 00103569 from sent22

Text  : - Panie szefie , nie da się tam wejść nie włączając zasilania ._
Tokens: 1 2____ 3_____ 4 5__ 6_ 7__ 8__ 9____ 10_ 11_______ 12_______ 13

Chunks:

(ChunkerEvaluator) Sentence #869 from 00103569 from sent23

Text  : - To włączaj !
Tokens: 1 2_ 3______ 4

Chunks:

(ChunkerEvaluator) Sentence #870 from 00103569 from sent24

Text  : - A poradzicie sobie z rozszalałym konstruktem ?
Tokens: 1 2 3_________ 4____ 5 6__________ 7__________ 8

Chunks:

(ChunkerEvaluator) Sentence #871 from 00103569 from sent25

Text  : Kiedy puszczę strumień energii do grodzi , automat też się uruchomi ._
Tokens: 1____ 2______ 3_______ 4______ 5_ 6_____ 7 8______ 9__ 10_ 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #872 from 00103569 from sent26

Text  : Dacie mu radę ?
Tokens: 1____ 2_ 3___ 4

Chunks:

(ChunkerEvaluator) Sentence #873 from 00103569 from sent27

Text  : - kold wskazał na garstkę najemników i dwóch bladych magów ._
Tokens: 1 2___ 3______ 4_ 5______ 6_________ 7 8____ 9______ 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #874 from 00103569 from sent28

Text  : Landau zasępił się .
Tokens: 1_____ 2______ 3__ 4

Chunks:
  TruePositive nam [1,1] = Landau (confidence=0.93)

(ChunkerEvaluator) Sentence #875 from 00103569 from sent29

Text  : Spojrzał na Truna :
Tokens: 1_______ 2_ 3____ 4

Chunks:
  TruePositive nam [3,3] = Truna (confidence=1.00)

(ChunkerEvaluator) Sentence #876 from 00103569 from sent30

Text  : - Trzeba kogoś poszukać do tej roboty .
Tokens: 1 2_____ 3____ 4_______ 5_ 6__ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #877 from 00103569 from sent31

Text  : Kogoś , kto nie ma nic do stracenia i zależy mu na złocie ._
Tokens: 1____ 2 3__ 4__ 5_ 6__ 7_ 8________ 9 10____ 11 12 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #878 from 00103569 from sent32

Text  : Czasem przychodzą do mnie tacy , pytają o zarobek ._
Tokens: 1_____ 2_________ 3_ 4___ 5___ 6 7_____ 8 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #879 from 00103569 from sent33

Text  : Ktoś się na pewno znajdzie .
Tokens: 1___ 2__ 3_ 4____ 5_______ 6

Chunks:

2017-06-14 20:06:34,689 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 62 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103639.xml
(ChunkerEvaluator) Sentence #880 from 00103639 from sent1

Text  : Król francuski , Henryk XIV miał sławnego bibliotekarza , doradcę ._
Tokens: 1___ 2________ 3 4_____ 5__ 6___ 7_______ 8____________ 9 10_____ 11

Chunks:
  TruePositive nam [4,5] = Henryk XIV (confidence=1.00)

(ChunkerEvaluator) Sentence #881 from 00103639 from sent2

Text  : Pewnego razu zapytał go król : - Powiedz mi ,_ kto to jest Bóg ?_
Tokens: 1______ 2___ 3______ 4_ 5___ 6 7 8______ 9_ 10 11_ 12 13__ 14_ 15

Chunks:
  TruePositive nam [14,14] = Bóg (confidence=1.00)

(ChunkerEvaluator) Sentence #882 from 00103639 from sent3

Text  : Bibliotekarz odpowiada : - To najpotężniejszy i najdoskonalszy , nieogarniony Duch ,_ Stwórca nieba i_ ziemi ,_ król nad królami ._
Tokens: 1___________ 2________ 3 4 5_ 6______________ 7 8_____________ 9 10__________ 11__ 12 13_____ 14___ 15 16___ 17 18__ 19_ 20_____ 21

Chunks:
  TruePositive nam [11,11] = Duch (confidence=0.92)
  TruePositive nam [13,13] = Stwórca (confidence=0.99)

(ChunkerEvaluator) Sentence #883 from 00103639 from sent4

Text  : Henryk XIV pyta dalej : - Co by ś wolał :_ obrazić tego Boga grzechem śmiertelnym ,_ czy zarazić się trądem ?_
Tokens: 1_____ 2__ 3___ 4____ 5 6 7_ 8_ 9 10___ 11 12_____ 13__ 14__ 15______ 16_________ 17 18_ 19_____ 20_ 21____ 22

Chunks:
  TruePositive nam [1,2] = Henryk XIV (confidence=1.00)
  TruePositive nam [14,14] = Boga (confidence=1.00)

(ChunkerEvaluator) Sentence #884 from 00103639 from sent5

Text  : Na to bibliotekarz odpowiada : - Wolał by m popełnić kilkaset grzechów śmiertelnych niż raz zarazić się tą straszną chorobą ._
Tokens: 1_ 2_ 3___________ 4________ 5 6 7____ 8_ 9 10______ 11______ 12______ 13__________ 14_ 15_ 16_____ 17_ 18 19______ 20_____ 21

Chunks:

(ChunkerEvaluator) Sentence #885 from 00103639 from sent6

Text  : „ Kto by się stal powodem grzechu dla jednego i_ tych małych którzy wierzą ,_ ternu było by lepiej uwiązać kamień młyński u_ szyi i_ wrzucić go w_ morze "_ (_ Mk 9_ ,_ 42 )_ Ta straszna groźba Jezusa odnosi się do wielu ludzi ._
Tokens: 1 2__ 3_ 4__ 5___ 6______ 7______ 8__ 9______ 10 11__ 12____ 13____ 14____ 15 16___ 17__ 18 19____ 20_____ 21____ 22_____ 23 24__ 25 26_____ 27 28 29___ 30 31 32 33 34 35 36 37 38______ 39____ 40____ 41____ 42_ 43 44___ 45___ 46

Chunks:
  TruePositive nam [32,32] = Mk (confidence=0.82)
  TruePositive nam [40,40] = Jezusa (confidence=1.00)

(ChunkerEvaluator) Sentence #886 from 00103639 from sent7

Text  : Podobne słowa wypowiedział Jezus na temat Judasza .
Tokens: 1______ 2____ 3___________ 4____ 5_ 6____ 7______ 8

Chunks:
  TruePositive nam [4,4] = Jezus (confidence=1.00)
  TruePositive nam [7,7] = Judasza (confidence=1.00)

(ChunkerEvaluator) Sentence #887 from 00103639 from sent8

Text  : Dzisiaj grozi tym , którzy są powodem grzechu dla niewinnych ludzi i_ ciągną dusze na zatracenie ._
Tokens: 1______ 2____ 3__ 4 5_____ 6_ 7______ 8______ 9__ 10________ 11___ 12 13____ 14___ 15 16________ 17

Chunks:

(ChunkerEvaluator) Sentence #888 from 00103639 from sent9

Text  : Krzywdy te wyrządzają zarówno słowem , jak i całym zachowaniem ._
Tokens: 1______ 2_ 3_________ 4______ 5_____ 6 7__ 8 9____ 10_________ 11

Chunks:

(ChunkerEvaluator) Sentence #889 from 00103639 from sent10

Text  : Do takich zabójców dusz Chrystus Pan woła : „ Biada temu ,_ przez kogo przychodzi zgorszenie (_ Ml IK ,_ 7_ )_
Tokens: 1_ 2_____ 3_______ 4___ 5_______ 6__ 7___ 8 9 10___ 11__ 12 13___ 14__ 15________ 16________ 17 18 19 20 21 22

Chunks:
  TruePositive nam [5,6] = Chrystus Pan (confidence=1.00)
  TruePositive nam [19,19] = IK (confidence=0.47)
  FalseNegative nam [18,18] = Ml

(ChunkerEvaluator) Sentence #890 from 00103639 from sent11

Text  : Najstraszniejsze jest to , że wcale się nie boimy tych strasznych słów ._
Tokens: 1_______________ 2___ 3_ 4 5_ 6____ 7__ 8__ 9____ 10__ 11________ 12__ 13

Chunks:

(ChunkerEvaluator) Sentence #891 from 00103639 from sent12

Text  : Gorszyć , to znaczy być powodem grzechu drugiego człowieka w_ jakikolwiek sposób ,_ zarówno przez grzeszną lekkomyślność i_ zaniedbanie ,_ jak i_ zupełnie świadomie i_ planowo ,_ Stać się powodem do cudzego grzechu ,_ to znaczy być odpowiedzialnym za cudzy grzech ,_ za cudza niewiarę ,_ zepsucie i_ nieszczęście ._
Tokens: 1______ 2 3_ 4_____ 5__ 6______ 7______ 8_______ 9________ 10 11_________ 12____ 13 14_____ 15___ 16______ 17___________ 18 19_________ 20 21_ 22 23______ 24_______ 25 26_____ 27 28__ 29_ 30_____ 31 32_____ 33_____ 34 35 36____ 37_ 38_____________ 39 40___ 41____ 42 43 44___ 45______ 46 47______ 48 49__________ 50

Chunks:

(ChunkerEvaluator) Sentence #892 from 00103639 from sent13

Text  : Istnieje cała lista zwana „ dziewięcioma grzechami cudzymi " :_ doradzać grzech ,_ nakazywać grzech ,_ przyzwalać na grzech ,_ namawiać do grzechu ,_ chwalić cudzy grzech ,_ współdziałać w_ cudzym grzechu ,_ milczeć wobec cudzego grzechu ,_ pomagać do grzechu i_ bronie cudzego grzechu ._
Tokens: 1_______ 2___ 3____ 4____ 5 6___________ 7________ 8______ 9 10 11______ 12____ 13 14_______ 15____ 16 17________ 18 19____ 20 21______ 22 23_____ 24 25_____ 26___ 27____ 28 29__________ 30 31____ 32_____ 33 34_____ 35___ 36_____ 37_____ 38 39_____ 40 41_____ 42 43____ 44_____ 45_____ 46

Chunks:

(ChunkerEvaluator) Sentence #893 from 00103639 from sent14

Text  : Te cudze grzechy są często również naszymi , gdyż wszyscy jesteśmy odpowiedzialni za szczęście i_ nieszczęście ,_ za zbawienie i_ potępienie naszych braci ._
Tokens: 1_ 2____ 3______ 4_ 5_____ 6______ 7______ 8 9___ 10_____ 11______ 12____________ 13 14_______ 15 16__________ 17 18 19_______ 20 21________ 22_____ 23___ 24

Chunks:

(ChunkerEvaluator) Sentence #894 from 00103639 from sent15

Text  : Jakże rzadko lub wcale nie myślimy o tym , że my jesteśmy winni wielu grzechów popełnionych przez innych ._
Tokens: 1____ 2_____ 3__ 4____ 5__ 6______ 7 8__ 9 10 11 12______ 13___ 14___ 15______ 16__________ 17___ 18____ 19

Chunks:

(ChunkerEvaluator) Sentence #895 from 00103639 from sent16

Text  : Możliwe , że niektórym spośród was znana jest już postać Mata Talbota ._
Tokens: 1______ 2 3_ 4________ 5______ 6__ 7____ 8___ 9__ 10____ 11__ 12_____ 13

Chunks:
  TruePositive nam [11,12] = Mata Talbota (confidence=0.91)

(ChunkerEvaluator) Sentence #896 from 00103639 from sent17

Text  : Urodził się w wielodzietnej , biednej rodzinie .
Tokens: 1______ 2__ 3 4____________ 5 6______ 7_______ 8

Chunks:

(ChunkerEvaluator) Sentence #897 from 00103639 from sent18

Text  : Bieda w domu sprawiła , że musiał wcześnie rozpocząć pracę ._
Tokens: 1____ 2 3___ 4_______ 5 6_ 7_____ 8_______ 9________ 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #898 from 00103639 from sent19

Text  : Jako kilkunastoletni chłopiec zatrudnił się w porcie .
Tokens: 1___ 2______________ 3_______ 4________ 5__ 6 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #899 from 00103639 from sent20

Text  : Został dokerem .
Tokens: 1_____ 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #900 from 00103639 from sent21

Text  : Nosił ciężkie skrzynie , worki i inne ładunki .
Tokens: 1____ 2______ 3_______ 4 5____ 6 7___ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #901 from 00103639 from sent22

Text  : Pracując wśród ludzi starszych od siebie popadł w ich przyzwyczajenia ._
Tokens: 1_______ 2____ 3____ 4________ 5_ 6_____ 7_____ 8 9__ 10_____________ 11

Chunks:

(ChunkerEvaluator) Sentence #902 from 00103639 from sent23

Text  : Zaczął pić , palić .
Tokens: 1_____ 2__ 3 4____ 5

Chunks:

(ChunkerEvaluator) Sentence #903 from 00103639 from sent24

Text  : Został - jak by śmy to powiedzieli słuchając słów dzisiejszej Ewangelii -_ zgorszony przez starszych ._
Tokens: 1_____ 2 3__ 4_ 5__ 6_ 7__________ 8________ 9___ 10_________ 11_______ 12 13_______ 14___ 15_______ 16

Chunks:
  TruePositive nam [11,11] = Ewangelii (confidence=0.95)

(ChunkerEvaluator) Sentence #904 from 00103639 from sent25

Text  : Oni właśnie zaciągnęli wobec niego ten wielki grzech , przed którym przestrzega nas dziś Ewangelia ._
Tokens: 1__ 2______ 3_________ 4____ 5____ 6__ 7_____ 8_____ 9 10___ 11____ 12_________ 13_ 14__ 15_______ 16

Chunks:
  TruePositive nam [15,15] = Ewangelia (confidence=1.00)

(ChunkerEvaluator) Sentence #905 from 00103639 from sent26

Text  : Te - zabójcze dla młodego człowieka - używki zaczęły mu niszczyć zdrowie ._
Tokens: 1_ 2 3_______ 4__ 5______ 6________ 7 8_____ 9______ 10 11______ 12_____ 13

Chunks:

(ChunkerEvaluator) Sentence #906 from 00103639 from sent27

Text  : Opuszczał pracę , a jeśli przychodził , pracował niewiele ._
Tokens: 1________ 2____ 3 4 5____ 6__________ 7 8_______ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #907 from 00103639 from sent28

Text  : Nie miał sił .
Tokens: 1__ 2___ 3__ 4

Chunks:

(ChunkerEvaluator) Sentence #908 from 00103639 from sent29

Text  : W końcu zwolniono go z portu .
Tokens: 1 2____ 3________ 4_ 5 6____ 7

Chunks:

(ChunkerEvaluator) Sentence #909 from 00103639 from sent30

Text  : Nie miał pieniędzy .
Tokens: 1__ 2___ 3________ 4

Chunks:

(ChunkerEvaluator) Sentence #910 from 00103639 from sent31

Text  : W dniu wypłaty przyszedł pod bramę stoczni i u swoich byłych kolegów żebrał o_ papierosy ,_ alkohol ._
Tokens: 1 2___ 3______ 4________ 5__ 6____ 7______ 8 9 10____ 11____ 12_____ 13____ 14 15_______ 16 17_____ 18

Chunks:

(ChunkerEvaluator) Sentence #911 from 00103639 from sent32

Text  : Mijali go obojętnie .
Tokens: 1_____ 2_ 3________ 4

Chunks:

(ChunkerEvaluator) Sentence #912 from 00103639 from sent33

Text  : Wezbrał w nim żal .
Tokens: 1______ 2 3__ 4__ 5

Chunks:

(ChunkerEvaluator) Sentence #913 from 00103639 from sent34

Text  : Potem bunt .
Tokens: 1____ 2___ 3

Chunks:

(ChunkerEvaluator) Sentence #914 from 00103639 from sent35

Text  : Postanowił uwolnić się od nałogu .
Tokens: 1_________ 2______ 3__ 4_ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #915 from 00103639 from sent36

Text  : Wysiłek ogromny .
Tokens: 1______ 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #916 from 00103639 from sent37

Text  : Kiedy już opuszczały go siły szedł do kościoła i tam ,_ długo leżąc na posadzce przed Najświętszym Sakramentem prosił o_ siły do wytrwania ._
Tokens: 1____ 2__ 3_________ 4_ 5___ 6____ 7_ 8_______ 9 10_ 11 12___ 13___ 14 15______ 16___ 17__________ 18_________ 19____ 20 21__ 22 23_______ 24

Chunks:
  FalsePositive nam [17,18] = Najświętszym Sakramentem (confidence=0.41) (incorrect boundry)

(ChunkerEvaluator) Sentence #917 from 00103639 from sent38

Text  : Po długiej walce , bardzo bolesnej , uwolnił się wreszcie od nałogu ._
Tokens: 1_ 2______ 3____ 4 5_____ 6_______ 7 8______ 9__ 10______ 11 12____ 13

Chunks:

(ChunkerEvaluator) Sentence #918 from 00103639 from sent39

Text  : Dziś jest kandydatem na świętego .
Tokens: 1___ 2___ 3_________ 4_ 5_______ 6

Chunks:

(ChunkerEvaluator) Sentence #919 from 00103639 from sent40

Text  : Jeśli kiedykolwiek podjęli ście wysiłek uwolnienia się od złych przyzwyczajeń ,_ to wiecie jakie to bolesne ._
Tokens: 1____ 2___________ 3______ 4___ 5______ 6_________ 7__ 8_ 9____ 10___________ 11 12 13____ 14___ 15 16_____ 17

Chunks:

(ChunkerEvaluator) Sentence #920 from 00103639 from sent41

Text  : O takim sposobie walki ze swoim ciałem i jego nawykami myślał Chrystus ,_ mówiąc o_ konieczności wysiłku w_ zdobywaniu prawa wejścia do nieba ._
Tokens: 1 2____ 3_______ 4____ 5_ 6____ 7_____ 8 9___ 10______ 11____ 12______ 13 14____ 15 16__________ 17_____ 18 19________ 20___ 21_____ 22 23___ 24

Chunks:
  TruePositive nam [12,12] = Chrystus (confidence=0.99)

(ChunkerEvaluator) Sentence #921 from 00103639 from sent42

Text  : Pomyślmy dziś o tym , bo może i nasze oczy są chore ,_ złe ,_ patrzą na rzeczy złe ,_ które przez wzrok wsiąkają w_ nas ._
Tokens: 1_______ 2___ 3 4__ 5 6_ 7___ 8 9____ 10__ 11 12___ 13 14_ 15 16____ 17 18____ 19_ 20 21___ 22___ 23___ 24______ 25 26_ 27

Chunks:

(ChunkerEvaluator) Sentence #922 from 00103639 from sent43

Text  : Może nasze ręce są chciwe posiadania rzeczy cudzych .
Tokens: 1___ 2____ 3___ 4_ 5_____ 6_________ 7_____ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #923 from 00103639 from sent44

Text  : Może chore są nasze języki i wypowiadają brzydkie słowa ,_ złe zdania obmawiają innych ,_ o_ rodzicach ,_ nauczycielach ,_ a_ więc ludziach ,_ którym winni śmy szacunek ._
Tokens: 1___ 2____ 3_ 4____ 5_____ 6 7__________ 8_______ 9____ 10 11_ 12____ 13_______ 14____ 15 16 17_______ 18 19___________ 20 21 22__ 23______ 24 25____ 26___ 27_ 28______ 29

Chunks:

(ChunkerEvaluator) Sentence #924 from 00103639 from sent45

Text  : Trzeba pozbyć się tych niedobrych oczu , rąk , języków bo inaczej niebo może zostać dla nas zamknięte ._
Tokens: 1_____ 2_____ 3__ 4___ 5_________ 6___ 7 8__ 9 10_____ 11 12_____ 13___ 14__ 15____ 16_ 17_ 18_______ 19

Chunks:

(ChunkerEvaluator) Sentence #925 from 00103639 from sent46

Text  : „ Biada temu , przez kogo przychodzi zgorszenie " ._
Tokens: 1 2____ 3___ 4 5____ 6___ 7_________ 8_________ 9 10

Chunks:

(ChunkerEvaluator) Sentence #926 from 00103639 from sent47

Text  : Musimy zrobić dokładny rachunek sumienia , czy nasz zły przykład ,_ słowa i_ zachowanie nie spowodowały u_ kogoś utraty wiary i_ szczęścia ._ ._ ._
Tokens: 1_____ 2_____ 3_______ 4_______ 5_______ 6 7__ 8___ 9__ 10______ 11 12___ 13 14________ 15_ 16_________ 17 18___ 19____ 20___ 21 22_______ 23 24 25

Chunks:

(ChunkerEvaluator) Sentence #927 from 00103639 from sent48

Text  : Grzech Płynie przez nasze wioski i miasta , cała rzeka grzechów :_ bluźnierstw ,_ nienawiści ,_ rabunków ,_ rozpusty ,_ wiarołomstwa ,_ aborcji ._ ._ ._
Tokens: 1_____ 2_____ 3____ 4____ 5_____ 6 7_____ 8 9___ 10___ 11______ 12 13_________ 14 15________ 16 17______ 18 19______ 20 21__________ 22 23_____ 24 25 26

Chunks:

(ChunkerEvaluator) Sentence #928 from 00103639 from sent49

Text  : W jakim stopniu my jesteśmy współodpowiedzialni za te grzechy ?_
Tokens: 1 2____ 3______ 4_ 5_______ 6__________________ 7_ 8_ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #929 from 00103639 from sent50

Text  : Bóg nie żartuje , grożąc gorszycielom karami .
Tokens: 1__ 2__ 3______ 4 5_____ 6___________ 7_____ 8

Chunks:
  TruePositive nam [1,1] = Bóg (confidence=0.99)

(ChunkerEvaluator) Sentence #930 from 00103639 from sent51

Text  : O wiele większym grzechem jest doprowadzenie do grzechu jednego człowieka niż zburzenie tego kościoła ._
Tokens: 1 2____ 3_______ 4_______ 5___ 6____________ 7_ 8______ 9______ 10_______ 11_ 12_______ 13__ 14______ 15

Chunks:

(ChunkerEvaluator) Sentence #931 from 00103639 from sent52

Text  : Jezus nie umarł na krzyżu za kamienne kościoły , ale za żywe ,_ którymi my jesteśmy ._
Tokens: 1____ 2__ 3____ 4_ 5_____ 6_ 7_______ 8_______ 9 10_ 11 12__ 13 14_____ 15 16______ 17

Chunks:
  TruePositive nam [1,1] = Jezus (confidence=1.00)

(ChunkerEvaluator) Sentence #932 from 00103639 from sent53

Text  : Błogosławieni jesteśmy , jeżeli możemy powiedzieć : nie mam na sumieniu niczyjej duszy ._
Tokens: 1____________ 2_______ 3 4_____ 5_____ 6_________ 7 8__ 9__ 10 11______ 12______ 13___ 14

Chunks:

2017-06-14 20:06:34,900 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 63 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103693.xml
(ChunkerEvaluator) Sentence #933 from 00103693 from sent1

Text  : Pewien czas temu Vagla napisał do stowarzyszenia KOPIPOL w sprawie wynagrodzeń ,_ które należą się jemu jako autorowi ,_ a_ które stowarzyszenie powinno wypłacić z_ pieniędzy ,_ które pobiera jako organizacja zbiorowego zarządzania prawami autorskimi ._
Tokens: 1_____ 2___ 3___ 4____ 5______ 6_ 7_____________ 8______ 9 10_____ 11_________ 12 13___ 14____ 15_ 16__ 17__ 18______ 19 20 21___ 22____________ 23_____ 24______ 25 26_______ 27 28___ 29_____ 30__ 31_________ 32________ 33_________ 34_____ 35________ 36

Chunks:
  TruePositive nam [4,4] = Vagla (confidence=1.00)
  TruePositive nam [8,8] = KOPIPOL (confidence=0.44)

(ChunkerEvaluator) Sentence #934 from 00103693 from sent2

Text  : W odpowiedzi dowiedział się , że KOPIPOL nie wypłaca indywidualnych wypłat twórcom i_ zamiast tego prowadzi repartycję poprzez specjalne fundusze ,_ o_ pieniądze z_ których twórcy mogą się ubiegać ._
Tokens: 1 2_________ 3_________ 4__ 5 6_ 7______ 8__ 9______ 10____________ 11____ 12_____ 13 14_____ 15__ 16______ 17________ 18_____ 19_______ 20______ 21 22 23_______ 24 25_____ 26____ 27__ 28_ 29_____ 30

Chunks:
  TruePositive nam [7,7] = KOPIPOL (confidence=0.99)

(ChunkerEvaluator) Sentence #935 from 00103693 from sent3

Text  : Planując w przyszłości stworzenie mechanizmów repartycji indywidualnej , KOPIPOL stwierdził że :_ “_ Ze względu na konieczność zapobieżenia nadmiernemu rozdrobnieniu wypłat ,_ corocznie była by ustalana minimalna wysokość należności ,_ poniżej której kwoty nie były by naliczane i_ podlegały by włączeniu do puli podlegającej podziałowi ”_ ._
Tokens: 1_______ 2 3__________ 4_________ 5__________ 6_________ 7____________ 8 9______ 10________ 11 12 13 14 15_____ 16 17_________ 18__________ 19_________ 20___________ 21____ 22 23_______ 24__ 25 26______ 27_______ 28______ 29________ 30 31_____ 32____ 33___ 34_ 35__ 36 37_______ 38 39_______ 40 41_______ 42 43__ 44__________ 45________ 46 47

Chunks:
  TruePositive nam [9,9] = KOPIPOL (confidence=0.99)

(ChunkerEvaluator) Sentence #936 from 00103693 from sent4

Text  : Teraz czytam w Financial Times , że MCPS - PRS Alliance ,_ brytyjska org ._ zbiorowego zarządu prawami kompozytorów ,_ autorów piosenek i_ wydawców ,_ zawarła umowę z_ Google ._
Tokens: 1____ 2_____ 3 4________ 5____ 6 7_ 8___ 9 10_ 11______ 12 13_______ 14_ 15 16________ 17_____ 18_____ 19__________ 20 21_____ 22______ 23 24______ 25 26_____ 27___ 28 29____ 30

Chunks:
  TruePositive nam [4,5] = Financial Times (confidence=1.00)
  TruePositive nam [8,11] = MCPS - PRS Alliance (confidence=0.99)
  TruePositive nam [29,29] = Google (confidence=1.00)

(ChunkerEvaluator) Sentence #937 from 00103693 from sent5

Text  : Na jej mocy Google za jednorazową opłatą ryczałtową ( o_ nieznanej wartości )_ uzyskało prawa do wykorzystania na Youtube 10 milionów utworów stworzonych przez członków MCPS -_ PRS ._
Tokens: 1_ 2__ 3___ 4_____ 5_ 6__________ 7_____ 8_________ 9 10 11_______ 12______ 13 14______ 15___ 16 17___________ 18 19_____ 20 21______ 22_____ 23_________ 24___ 25______ 26__ 27 28_ 29

Chunks:
  TruePositive nam [4,4] = Google (confidence=1.00)
  TruePositive nam [19,19] = Youtube (confidence=0.53)
  TruePositive nam [26,28] = MCPS - PRS (confidence=1.00)

(ChunkerEvaluator) Sentence #938 from 00103693 from sent6

Text  : Co ciekawe , MCPS - PRS będzie monitorować jedynie 5_ -_ 10 %_ najpopularniejszych utworów i_ wypłacać wynagrodzenia ich twórcom ._
Tokens: 1_ 2______ 3 4___ 5 6__ 7_____ 8__________ 9______ 10 11 12 13 14_________________ 15_____ 16 17______ 18___________ 19_ 20_____ 21

Chunks:
  TruePositive nam [4,6] = MCPS - PRS (confidence=0.99)

(ChunkerEvaluator) Sentence #939 from 00103693 from sent7

Text  : Jak stwierdza Andrew Shaw - jeden z dyrektorów organizacji ,_
Tokens: 1__ 2________ 3_____ 4___ 5 6____ 7 8_________ 9__________ 10

Chunks:
  TruePositive nam [3,4] = Andrew Shaw (confidence=1.00)

(ChunkerEvaluator) Sentence #940 from 00103693 from sent8

Text  : “ W przypadku długiego ogona nie warto prowadzić obliczeń ”_
Tokens: 1 2 3________ 4_______ 5____ 6__ 7____ 8________ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #941 from 00103693 from sent9

Text  : Komentator z Listening Post słusznie zauważa , że przemysł muzyczny z_ jednej stronie tropi i_ zwalcza nawet najdrobniejsze naruszenia praw autorskich -_ ale nie jest gotów z_ równą pieczołowitością dbać o_ prawa twórców ._
Tokens: 1_________ 2 3________ 4___ 5_______ 6______ 7 8_ 9_______ 10______ 11 12____ 13_____ 14___ 15 16_____ 17___ 18____________ 19________ 20__ 21________ 22 23_ 24_ 25__ 26___ 27 28___ 29______________ 30__ 31 32___ 33_____ 34

Chunks:
  TruePositive nam [3,4] = Listening Post (confidence=1.00)

(ChunkerEvaluator) Sentence #942 from 00103693 from sent10

Text  : Sprawa jest też ciekawa o tyle , że twórczość z_ długiego ogona przyjęło się traktować jako amatorską i_ niekomercyjną -_ przełomowość koncepcji Andersona polega na tym ,_ że pokazuje on ,_ jak na długim ogonie zarabiać ._
Tokens: 1_____ 2___ 3__ 4______ 5 6___ 7 8_ 9________ 10 11______ 12___ 13______ 14_ 15_______ 16__ 17_______ 18 19___________ 20 21__________ 22_______ 23_______ 24____ 25 26_ 27 28 29______ 30 31 32_ 33 34____ 35____ 36______ 37

Chunks:
  TruePositive nam [23,23] = Andersona (confidence=0.98)

(ChunkerEvaluator) Sentence #943 from 00103693 from sent11

Text  : Fakt , że argumentował głównie za możliwością zarabiania przez pośredników ,_ a_ nie twórców -_ tezę tę potwierdza niestety historia z_ MCPS -_ PRS i_ Googlem ._
Tokens: 1___ 2 3_ 4___________ 5______ 6_ 7__________ 8_________ 9____ 10_________ 11 12 13_ 14_____ 15 16__ 17 18________ 19______ 20______ 21 22__ 23 24_ 25 26_____ 27

Chunks:
  TruePositive nam [22,24] = MCPS - PRS (confidence=1.00)
  TruePositive nam [26,26] = Googlem (confidence=0.99)

(ChunkerEvaluator) Sentence #944 from 00103693 from sent12

Text  : Pozytywny aspekt tej historii - wydaje się , że Google wykupiło również prawa do remiksowania materiałów przez użytkowników Youtube ._
Tokens: 1________ 2_____ 3__ 4_______ 5 6_____ 7__ 8 9_ 10____ 11______ 12_____ 13___ 14 15__________ 16________ 17___ 18__________ 19_____ 20

Chunks:
  TruePositive nam [10,10] = Google (confidence=1.00)
  TruePositive nam [19,19] = Youtube (confidence=1.00)

(ChunkerEvaluator) Sentence #945 from 00103693 from sent13

Text  : Jeśli to prawda , to jest to duży krok naprzód dla kultury remiksu ._
Tokens: 1____ 2_ 3_____ 4 5_ 6___ 7_ 8___ 9___ 10_____ 11_ 12_____ 13_____ 14

Chunks:

2017-06-14 20:06:34,991 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 64 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103916.xml
(ChunkerEvaluator) Sentence #946 from 00103916 from sent1

Text  : Jakiś czemu przechodząc przez galerię Aréna Plaza niemał się nie przewrócił em zobaczywszy jeden ze sklepów ._
Tokens: 1____ 2____ 3__________ 4____ 5______ 6____ 7____ 8_____ 9__ 10_ 11________ 12 13_________ 14___ 15 16_____ 17

Chunks:
  TruePositive nam [6,7] = Aréna Plaza (confidence=1.00)

(ChunkerEvaluator) Sentence #947 from 00103916 from sent2

Text  : Zamiast typowej sieciówki albo butiku z kiczowatą odzieżą czy też butami stał em przed sklepem Our Style sprzedającym ubrania współczesnych węgierskich projektantów mody ._
Tokens: 1______ 2______ 3________ 4___ 5_____ 6 7________ 8______ 9__ 10_ 11____ 12__ 13 14___ 15_____ 16_ 17___ 18__________ 19_____ 20___________ 21_________ 22__________ 23__ 24

Chunks:
  TruePositive nam [16,17] = Our Style (confidence=0.81)

(ChunkerEvaluator) Sentence #948 from 00103916 from sent3

Text  : Wymiękł em bo to dość nietypowy widok .
Tokens: 1______ 2_ 3_ 4_ 5___ 6________ 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #949 from 00103916 from sent4

Text  : Co bardziej przebojowi projektanci otwierają swoje butiki , ci mniej popularni sprzedają swoje ciuchy na WAMPie (_ łamiąca wiadomość :_ WAMP został kupiony przez Károlya Gerendai ,_ który robi festiwal Sziget oraz najlepszą restaurację w_ mieście o_ nazwie Costes ,_ i_ targ ma mieć miejsce teraz już co tydzień )_ ,_ w_ jakiś galeriach czy też wręcz w_ swoich mieszkaniach ._
Tokens: 1_ 2_______ 3_________ 4__________ 5________ 6____ 7_____ 8 9_ 10___ 11_______ 12_______ 13___ 14____ 15 16____ 17 18_____ 19_______ 20 21__ 22____ 23_____ 24___ 25_____ 26______ 27 28___ 29__ 30______ 31____ 32__ 33_______ 34_________ 35 36_____ 37 38____ 39____ 40 41 42__ 43 44__ 45_____ 46___ 47_ 48 49_____ 50 51 52 53___ 54_______ 55_ 56_ 57___ 58 59____ 60__________ 61

Chunks:
  TruePositive nam [16,16] = WAMPie (confidence=0.75)
  TruePositive nam [25,26] = Károlya Gerendai (confidence=1.00)
  TruePositive nam [31,31] = Sziget (confidence=0.91)
  TruePositive nam [39,39] = Costes (confidence=1.00)
  FalseNegative nam [21,21] = WAMP

(ChunkerEvaluator) Sentence #950 from 00103916 from sent5

Text  : A tu , mimo , że ubrania i akcesoria wyłożone są na zwykłych paletach to jednak galeria ._
Tokens: 1 2_ 3 4___ 5 6_ 7______ 8 9________ 10______ 11 12 13______ 14______ 15 16____ 17_____ 18

Chunks:

(ChunkerEvaluator) Sentence #951 from 00103916 from sent6

Text  : Zaczął em szukać informacji na temat Our Fashion .
Tokens: 1_____ 2_ 3_____ 4_________ 5_ 6____ 7__ 8______ 9

Chunks:
  TruePositive nam [7,8] = Our Fashion (confidence=1.00)

(ChunkerEvaluator) Sentence #952 from 00103916 from sent7

Text  : Okazało się , że tropy wiodą do strony internetowej pod tym tytułem ._
Tokens: 1______ 2__ 3 4_ 5____ 6____ 7_ 8_____ 9___________ 10_ 11_ 12_____ 13

Chunks:

(ChunkerEvaluator) Sentence #953 from 00103916 from sent8

Text  : Wyrosła ona z pierwszego węgierskiego bloga prezentującego street fashion http://ourstyle.freeblog.hu/ ._
Tokens: 1______ 2__ 3 4_________ 5___________ 6____ 7_____________ 8_____ 9______ 10__________________________ 11

Chunks:
  TruePositive nam [10,10] = http://ourstyle.freeblog.hu/ (confidence=0.62)

(ChunkerEvaluator) Sentence #954 from 00103916 from sent9

Text  : Blog jest już niestety nieaktywny , ( pierwszy wpis luty 2007 ,_ ostatni grudzień 2011 )_ do dziś powiewa na nim smętnie reklama Malévu ,_ który zbankrutował ponad rok temu ._
Tokens: 1___ 2___ 3__ 4_______ 5_________ 6 7 8_______ 9___ 10__ 11__ 12 13_____ 14______ 15__ 16 17 18__ 19_____ 20 21_ 22_____ 23_____ 24____ 25 26___ 27__________ 28___ 29_ 30__ 31

Chunks:
  TruePositive nam [24,24] = Malévu (confidence=1.00)

(ChunkerEvaluator) Sentence #955 from 00103916 from sent10

Text  : Spiritus movens tych przedsięwzięć są Ange Sándorfi i Dóra Henger ._
Tokens: 1_______ 2_____ 3___ 4____________ 5_ 6___ 7_______ 8 9___ 10____ 11

Chunks:
  TruePositive nam [6,7] = Ange Sándorfi (confidence=1.00)
  TruePositive nam [9,10] = Dóra Henger (confidence=1.00)

(ChunkerEvaluator) Sentence #956 from 00103916 from sent11

Text  : Obie są fashionista i chcą promować zarówno „ Węgrów z_ własnym stylem ”_ -_ jak głosi motto bloga -_ jak i_ tych ,_ którzy modę tworzą ._
Tokens: 1___ 2_ 3__________ 4 5___ 6_______ 7______ 8 9_____ 10 11_____ 12____ 13 14 15_ 16___ 17___ 18___ 19 20_ 21 22__ 23 24____ 25__ 26____ 27

Chunks:
  TruePositive nam [9,9] = Węgrów (confidence=0.99)

(ChunkerEvaluator) Sentence #957 from 00103916 from sent12

Text  : Obecnie poza sklepem internetowym Our Style mają też dwa butiki ,_ jeden w_ Aréna Plaza (_ ten widział em )_ i_ drugi w_ MOM Park ,_ też taka galeria ,_ przy czym pierwszy ze swoich sklepów otwarły w_ 2010 roku ._
Tokens: 1______ 2___ 3______ 4___________ 5__ 6____ 7___ 8__ 9__ 10____ 11 12___ 13 14___ 15___ 16 17_ 18_____ 19 20 21 22___ 23 24_ 25__ 26 27_ 28__ 29_____ 30 31__ 32__ 33______ 34 35____ 36_____ 37_____ 38 39__ 40__ 41

Chunks:
  TruePositive nam [5,6] = Our Style (confidence=0.98)
  TruePositive nam [14,15] = Aréna Plaza (confidence=1.00)
  TruePositive nam [24,25] = MOM Park (confidence=1.00)

(ChunkerEvaluator) Sentence #958 from 00103916 from sent13

Text  : Dzięki nim można łatwo kupić ciuchy i akcesoria współczesnych projektantów ._
Tokens: 1_____ 2__ 3____ 4____ 5____ 6_____ 7 8________ 9____________ 10__________ 11

Chunks:

(ChunkerEvaluator) Sentence #959 from 00103916 from sent14

Text  : Okazja nie do przepuszczenia dla wszystkich odwiedzających Budapeszt !
Tokens: 1_____ 2__ 3_ 4_____________ 5__ 6_________ 7_____________ 8________ 9

Chunks:
  TruePositive nam [8,8] = Budapeszt (confidence=0.73)

2017-06-14 20:06:35,067 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 65 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103948.xml
(ChunkerEvaluator) Sentence #960 from 00103948 from sent1

Text  : Pomysł był bardzo prosty : sprawdzić , na ile oddolne ruchy z_ sieci mogą wpłynąć na sposoby działania świata zinstytucjonalizowanego ,_ przede wszystkim w_ obszarze kultury ._
Tokens: 1_____ 2__ 3_____ 4_____ 5 6________ 7 8_ 9__ 10_____ 11___ 12 13___ 14__ 15_____ 16 17_____ 18_______ 19____ 20_____________________ 21 22____ 23_______ 24 25______ 26_____ 27

Chunks:

(ChunkerEvaluator) Sentence #961 from 00103948 from sent2

Text  : I choć prezentacje i rozmowy były pasjonujące , to konkluzje nie są szczególnie optymistyczne –_ powracającym ,_ ale chyba najmocniej wyartykułowanym podczas ostatniego spotkania wątkiem było przekonanie ,_ że to wciąż są dwa różne światy ._
Tokens: 1 2___ 3__________ 4 5______ 6___ 7__________ 8 9_ 10_______ 11_ 12 13_________ 14___________ 15 16__________ 17 18_ 19___ 20________ 21_____________ 22_____ 23________ 24_______ 25_____ 26__ 27_________ 28 29 30 31___ 32 33_ 34___ 35____ 36

Chunks:

(ChunkerEvaluator) Sentence #962 from 00103948 from sent3

Text  : Że otwartość dla instytucji najczęściej jest modnym , ale jednak kwiatkiem do kożucha ._
Tokens: 1_ 2________ 3__ 4_________ 5__________ 6___ 7_____ 8 9__ 10____ 11_______ 12 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #963 from 00103948 from sent4

Text  : Że można znaleźć przykłady względnie harmonijnej współpracy , ale że są to wyjątki ._
Tokens: 1_ 2____ 3______ 4________ 5________ 6__________ 7_________ 8 9__ 10 11 12 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #964 from 00103948 from sent5

Text  : Osobiście mam poczucie , że to m . in ._ problem logiki ,_ w_ której osadzone są instytucje ,_ także publiczne –_ choć powinny działać na rzecz dobra wspólnego ,_ to sposoby ich rozliczania wcale ich do tego nie zachęcają ._
Tokens: 1________ 2__ 3_______ 4 5_ 6_ 7 8 9_ 10 11_____ 12____ 13 14 15____ 16______ 17 18________ 19 20___ 21_______ 22 23__ 24_____ 25_____ 26 27___ 28___ 29_______ 30 31 32_____ 33_ 34_________ 35___ 36_ 37 38__ 39_ 40_______ 41

Chunks:

(ChunkerEvaluator) Sentence #965 from 00103948 from sent6

Text  : Ale to także problem wynikający z faktu , że to ,_ co dobrze działa w_ małej niszy ,_ napędzanej energią grupy pasjonatów (_ także tych ,_ którzy za dzielenie się tą energią biorą pensje )_ ,_ średnio się skaluje ._
Tokens: 1__ 2_ 3____ 4______ 5_________ 6 7____ 8 9_ 10 11 12 13____ 14____ 15 16___ 17___ 18 19________ 20_____ 21___ 22________ 23 24___ 25__ 26 27____ 28 29_______ 30_ 31 32_____ 33___ 34____ 35 36 37_____ 38_ 39_____ 40

Chunks:

(ChunkerEvaluator) Sentence #966 from 00103948 from sent7

Text  : Większość jest milcząca i nie zmieni tego żaden serwis internetowy ._
Tokens: 1________ 2___ 3_______ 4 5__ 6_____ 7___ 8____ 9_____ 10_________ 11

Chunks:

(ChunkerEvaluator) Sentence #967 from 00103948 from sent8

Text  : To też szerszy kłopot , który pewnie jest głównym pytaniem o_ długofalowy wpływ sieci na społeczeństwo :_ na ile kultura 2_ ._ 0_ jest w_ stanie budować instytucje ,_ które nie tylko realizują bieżące potrzeby ,_ ale też prowadzą do systemowej zmiany ?_
Tokens: 1_ 2__ 3______ 4_____ 5 6____ 7_____ 8___ 9______ 10______ 11 12_________ 13___ 14___ 15 16___________ 17 18 19_ 20_____ 21 22 23 24__ 25 26____ 27_____ 28________ 29 30___ 31_ 32___ 33_______ 34_____ 35______ 36 37_ 38_ 39______ 40 41________ 42____ 43

Chunks:
  TruePositive nam [20,23] = kultura 2 . 0 (confidence=0.88)

(ChunkerEvaluator) Sentence #968 from 00103948 from sent9

Text  : Na ile potrafią być kompatybilne np . z procesem politycznym ?_
Tokens: 1_ 2__ 3_______ 4__ 5___________ 6_ 7 8 9_______ 10_________ 11

Chunks:

(ChunkerEvaluator) Sentence #969 from 00103948 from sent10

Text  : Może odpowiedź przyjdzie zza naszej zachodniej granicy , gdzie Partia Piratów w_ błyskawicznym tempie zmienia się z_ ugrupowania postrzeganego w_ kategoriach egzotycznej ciekawostki w_ partię ,_ która być może w_ przyszłym roku wejdzie do koalicji rządzącej ._
Tokens: 1___ 2________ 3________ 4__ 5_____ 6_________ 7______ 8 9____ 10____ 11_____ 12 13___________ 14____ 15_____ 16_ 17 18_________ 19___________ 20 21_________ 22_________ 23_________ 24 25____ 26 27___ 28_ 29__ 30 31_______ 32__ 33_____ 34 35______ 36_______ 37

Chunks:
  TruePositive nam [10,11] = Partia Piratów (confidence=0.98)

(ChunkerEvaluator) Sentence #970 from 00103948 from sent11

Text  : Być może to temat na kolejny cykl spotkań .
Tokens: 1__ 2___ 3_ 4____ 5_ 6______ 7___ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #971 from 00103948 from sent12

Text  : Wróćmy jednak do podsumowania : jeśli chcecie się dowiedzieć czegoś więcej ,_ na stronie MSN znajdziecie nagrania wideo z_ trzech spotkań ._
Tokens: 1_____ 2_____ 3_ 4___________ 5 6____ 7______ 8__ 9_________ 10____ 11____ 12 13 14_____ 15_ 16_________ 17______ 18___ 19 20____ 21_____ 22

Chunks:
  TruePositive nam [15,15] = MSN (confidence=1.00)

(ChunkerEvaluator) Sentence #972 from 00103948 from sent13

Text  : Z jakiegoś powodu zabrakło tam nagrania ze spotkania „ Technospołecznicy ”_ –_ pozostaje mi więc odesłać was do samego raportu ,_ który stanowił punkt wyjścia do dyskusji ._
Tokens: 1 2_______ 3_____ 4_______ 5__ 6_______ 7_ 8________ 9 10_______________ 11 12 13_______ 14 15__ 16_____ 17_ 18 19____ 20_____ 21 22___ 23______ 24___ 25_____ 26 27______ 28

Chunks:
  TruePositive nam [10,10] = Technospołecznicy (confidence=0.99)

2017-06-14 20:06:35,154 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 66 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107256.xml
(ChunkerEvaluator) Sentence #973 from 00107256 from sent1

Text  : 2006-01-22 : PO i PiS : Rozmowy ostatniej szansy ?_
Tokens: 1_________ 2 3_ 4 5__ 6 7______ 8________ 9_____ 10

Chunks:
  TruePositive nam [5,5] = PiS (confidence=1.00)
  FalseNegative nam [3,3] = PO

(ChunkerEvaluator) Sentence #974 from 00107256 from sent2

Text  : Dzisiaj mogą się odbyć rozmowy pomiędzy Prawem i Sprawiedliwością a_ Platformą Obywatelską ._
Tokens: 1______ 2___ 3__ 4____ 5______ 6_______ 7_____ 8 9_______________ 10 11_______ 12_________ 13

Chunks:
  TruePositive nam [11,12] = Platformą Obywatelską (confidence=0.90)
  FalsePositive nam [7,7] = Prawem (confidence=0.97) (incorrect boundry)
  FalsePositive nam [9,9] = Sprawiedliwością (confidence=0.53) (incorrect boundry)
  FalseNegative nam [7,9] = Prawem i Sprawiedliwością

(ChunkerEvaluator) Sentence #975 from 00107256 from sent3

Text  : Prawdopodobnie jednak bez udziału Jarosława Kaczyńskiego i Jana Rokity ._
Tokens: 1_____________ 2_____ 3__ 4______ 5________ 6___________ 7 8___ 9_____ 10

Chunks:
  TruePositive nam [5,6] = Jarosława Kaczyńskiego (confidence=1.00)
  TruePositive nam [8,9] = Jana Rokity (confidence=1.00)

(ChunkerEvaluator) Sentence #976 from 00107256 from sent4

Text  : Rozmowy zapowiedział wczoraj publicznie Kaczyński po obradach Rady Politycznej PiS ,_ która zaproponowała wszystkim klubom parlamentarnym zawarcie Bloku Naprawy Państwa ,_ czyli formy koalicji popierającej rząd Marcinkiewicza ,_ która z_ czasem mogła by być przekształcona w_ koalicję rządową ._
Tokens: 1______ 2___________ 3______ 4_________ 5________ 6_ 7_______ 8___ 9__________ 10_ 11 12___ 13___________ 14_______ 15____ 16____________ 17______ 18___ 19_____ 20_____ 21 22___ 23___ 24______ 25__________ 26__ 27____________ 28 29___ 30 31____ 32___ 33 34_ 35____________ 36 37______ 38_____ 39

Chunks:
  TruePositive nam [5,5] = Kaczyński (confidence=1.00)
  TruePositive nam [8,10] = Rady Politycznej PiS (confidence=0.68)
  TruePositive nam [18,20] = Bloku Naprawy Państwa (confidence=1.00)
  TruePositive nam [27,27] = Marcinkiewicza (confidence=1.00)

(ChunkerEvaluator) Sentence #977 from 00107256 from sent5

Text  : Propozycja nie dotyczy SLD .
Tokens: 1_________ 2__ 3______ 4__ 5

Chunks:
  TruePositive nam [4,4] = SLD (confidence=0.99)

(ChunkerEvaluator) Sentence #978 from 00107256 from sent6

Text  : Jest jednak mało prawdopodobne , aby z dzisiejszych rozmów coś wyszło ,_ a_ nawet w_ ogóle do nich doszło ._
Tokens: 1___ 2_____ 3___ 4____________ 5 6__ 7 8___________ 9_____ 10_ 11____ 12 13 14___ 15 16___ 17 18__ 19____ 20

Chunks:

(ChunkerEvaluator) Sentence #979 from 00107256 from sent7

Text  : Jak mówił dziś w radiowej Trójce Bronisław Komorowski , nie zaprasza się do rozmów publicznie bez żadnych wcześniejszych ustaleń z_ zainteresowanymi stronami ._
Tokens: 1__ 2____ 3___ 4 5_______ 6_____ 7________ 8_________ 9 10_ 11______ 12_ 13 14____ 15________ 16_ 17_____ 18____________ 19_____ 20 21______________ 22______ 23

Chunks:
  TruePositive nam [6,6] = Trójce (confidence=0.94)
  TruePositive nam [7,8] = Bronisław Komorowski (confidence=0.98)

(ChunkerEvaluator) Sentence #980 from 00107256 from sent8

Text  : Z kolei Jan Rokita powiedział wczoraj dobitnie , że dość ma "_ chocholich tańców "_ koalicyjnych w_ wykonaniu Kaczyńskiego ._
Tokens: 1 2____ 3__ 4_____ 5_________ 6______ 7_______ 8 9_ 10__ 11 12 13________ 14____ 15 16__________ 17 18_______ 19__________ 20

Chunks:
  TruePositive nam [3,4] = Jan Rokita (confidence=1.00)
  TruePositive nam [19,19] = Kaczyńskiego (confidence=1.00)

2017-06-14 20:06:35,192 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 67 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107292.xml
(ChunkerEvaluator) Sentence #981 from 00107292 from sent1

Text  : 2007-09-13 : Czy Kammel poprowadzi „ Przebojową noc ” w_ TVP 1_ ?_
Tokens: 1_________ 2 3__ 4_____ 5_________ 6 7_________ 8__ 9 10 11_ 12 13

Chunks:
  TruePositive nam [4,4] = Kammel (confidence=0.73)
  TruePositive nam [7,8] = Przebojową noc (confidence=0.99)
  TruePositive nam [11,12] = TVP 1 (confidence=1.00)

(ChunkerEvaluator) Sentence #982 from 00107292 from sent2

Text  : Telewizja Polska prowadzi negocjacje z Tomaszem Kammelem w sprawie prowadzenia show telewizyjnego pt ._ "_ Przebojowa noc "_ ._
Tokens: 1________ 2_____ 3_______ 4_________ 5 6_______ 7_______ 8 9______ 10_________ 11__ 12___________ 13 14 15 16________ 17_ 18 19

Chunks:
  TruePositive nam [6,7] = Tomaszem Kammelem (confidence=1.00)
  TruePositive nam [16,17] = Przebojowa noc (confidence=0.97)
  FalsePositive nam [2,2] = Polska (confidence=0.98) (incorrect boundry)
  FalseNegative nam [1,2] = Telewizja Polska

(ChunkerEvaluator) Sentence #983 from 00107292 from sent3

Text  : TVP chce aby zastąpił on Janusza Józefowicza .
Tokens: 1__ 2___ 3__ 4_______ 5_ 6______ 7__________ 8

Chunks:
  TruePositive nam [1,1] = TVP (confidence=0.79)
  TruePositive nam [6,7] = Janusza Józefowicza (confidence=1.00)

(ChunkerEvaluator) Sentence #984 from 00107292 from sent4

Text  : Zmiana gospodarza ma wpłynąć na większą oglądalność programu .
Tokens: 1_____ 2_________ 3_ 4______ 5_ 6______ 7__________ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #985 from 00107292 from sent5

Text  : Pierwszym krokiem do zwiększenia popularności show było przeniesienie jego z_ niedzieli na sobotę ._
Tokens: 1________ 2______ 3_ 4__________ 5___________ 6___ 7___ 8____________ 9___ 10 11_______ 12 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #986 from 00107292 from sent6

Text  : Zmianie ma ulec również scenariusz programu .
Tokens: 1______ 2_ 3___ 4______ 5_________ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #987 from 00107292 from sent7

Text  : " Dopóki nie poznamy jego pełnej wersji , nie możemy podjąć decyzji "_ –_ stwierdził Christian Kammel ,_ menedżer i_ ojciec Tomasza Kammela ._
Tokens: 1 2_____ 3__ 4______ 5___ 6_____ 7_____ 8 9__ 10____ 11____ 12_____ 13 14 15________ 16_______ 17____ 18 19______ 20 21____ 22_____ 23_____ 24

Chunks:
  TruePositive nam [16,17] = Christian Kammel (confidence=1.00)
  TruePositive nam [22,23] = Tomasza Kammela (confidence=1.00)

(ChunkerEvaluator) Sentence #988 from 00107292 from sent8

Text  : TVP 1 rozważa również inne kandydatury na prowadzącego program ._
Tokens: 1__ 2 3______ 4______ 5___ 6__________ 7_ 8___________ 9______ 10

Chunks:
  TruePositive nam [1,2] = TVP 1 (confidence=0.98)

(ChunkerEvaluator) Sentence #989 from 00107292 from sent9

Text  : Program rozrywkowy " Przebojowa noc " jest emitowany od 9_ września 2007 r_ ._ w_ TVP 1_ ,_ w_ sobotę o_ godzinie 22 :_ 05 ._
Tokens: 1______ 2_________ 3 4_________ 5__ 6 7___ 8________ 9_ 10 11______ 12__ 13 14 15 16_ 17 18 19 20____ 21 22______ 23 24 25 26

Chunks:
  TruePositive nam [4,5] = Przebojowa noc (confidence=0.99)
  TruePositive nam [16,17] = TVP 1 (confidence=1.00)

(ChunkerEvaluator) Sentence #990 from 00107292 from sent10

Text  : Autorem i reżyserem jest Janusz Józefowicz .
Tokens: 1______ 2 3________ 4___ 5_____ 6_________ 7

Chunks:
  TruePositive nam [5,6] = Janusz Józefowicz (confidence=1.00)

(ChunkerEvaluator) Sentence #991 from 00107292 from sent11

Text  : Program prowadzi również aktorka , tancerka i piosenkarka Natasza Urbańska ._
Tokens: 1______ 2_______ 3______ 4______ 5 6_______ 7 8__________ 9______ 10______ 11

Chunks:
  TruePositive nam [9,10] = Natasza Urbańska (confidence=1.00)

(ChunkerEvaluator) Sentence #992 from 00107292 from sent12

Text  : Zobacz też
Tokens: 1_____ 2__

Chunks:

(ChunkerEvaluator) Sentence #993 from 00107292 from sent13

Text  : TVP bez Tomasza Kammela , 14 września 2007
Tokens: 1__ 2__ 3______ 4______ 5 6_ 7_______ 8___

Chunks:
  TruePositive nam [1,1] = TVP (confidence=0.98)
  TruePositive nam [3,4] = Tomasza Kammela (confidence=0.97)

(ChunkerEvaluator) Sentence #994 from 00107292 from sent14

Text  : Jarosław Kret poprowadzi „ Przebojową noc ” w TVP 1_ ,_ 14 września 2007
Tokens: 1_______ 2___ 3_________ 4 5_________ 6__ 7 8 9__ 10 11 12 13______ 14__

Chunks:
  TruePositive nam [1,2] = Jarosław Kret (confidence=1.00)
  TruePositive nam [5,6] = Przebojową noc (confidence=0.99)
  TruePositive nam [9,10] = TVP 1 (confidence=1.00)

2017-06-14 20:06:35,242 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 68 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107326.xml
(ChunkerEvaluator) Sentence #995 from 00107326 from sent1

Text  : 2009-01-01 : Raport ze Strefy Gazy : 1 stycznia 2009
Tokens: 1_________ 2 3_____ 4_ 5_____ 6___ 7 8 9_______ 10__

Chunks:
  TruePositive nam [5,6] = Strefy Gazy (confidence=1.00)

(ChunkerEvaluator) Sentence #996 from 00107326 from sent2

Text  : 27 grudnia Izrael , w odpowiedzi na jednostronne wypowiedzenie przez Hamas zawieszenia broni ,_ oraz ostrzał terytorium Izraela rozpoczął ofensywę militarną w_ Strefie Gazy pod kryptonimem Płynny ołów ._
Tokens: 1_ 2______ 3_____ 4 5 6_________ 7_ 8___________ 9____________ 10___ 11___ 12_________ 13___ 14 15__ 16_____ 17________ 18_____ 19_______ 20______ 21_______ 22 23_____ 24__ 25_ 26_________ 27____ 28__ 29

Chunks:
  TruePositive nam [3,3] = Izrael (confidence=1.00)
  TruePositive nam [11,11] = Hamas (confidence=0.98)
  TruePositive nam [18,18] = Izraela (confidence=1.00)
  TruePositive nam [23,24] = Strefie Gazy (confidence=1.00)
  TruePositive nam [27,28] = Płynny ołów (confidence=0.98)

(ChunkerEvaluator) Sentence #997 from 00107326 from sent3

Text  : Celem są dowódcy i infrastruktura palestyńskiego , radykalnego ugrupowania Hamas ._
Tokens: 1____ 2_ 3______ 4 5_____________ 6_____________ 7 8__________ 9__________ 10___ 11

Chunks:
  TruePositive nam [10,10] = Hamas (confidence=0.99)

(ChunkerEvaluator) Sentence #998 from 00107326 from sent4

Text  : Operacja objęła głównie Gazę oraz , w mniejszym stopniu ,_ Chan Junis i_ Rafah ._
Tokens: 1_______ 2_____ 3______ 4___ 5___ 6 7 8________ 9______ 10 11__ 12___ 13 14___ 15

Chunks:
  TruePositive nam [4,4] = Gazę (confidence=0.99)
  TruePositive nam [11,12] = Chan Junis (confidence=1.00)
  TruePositive nam [14,14] = Rafah (confidence=1.00)

(ChunkerEvaluator) Sentence #999 from 00107326 from sent5

Text  : Według oficjalnych źródeł , izraelskich i palestyńskich , w wyniku izraelskiej operacji zginęło dotychczas około 400 Palestyńczyków w_ tym 60 cywili (_ wg ONZ )_ ,_ a_ ponad 1_ 900 zostało rannych –_ głównie bojownicy Hamasu ._
Tokens: 1_____ 2__________ 3_____ 4 5__________ 6 7____________ 8 9 10____ 11_________ 12______ 13_____ 14________ 15___ 16_ 17____________ 18 19_ 20 21____ 22 23 24_ 25 26 27 28___ 29 30_ 31_____ 32_____ 33 34_____ 35_______ 36____ 37

Chunks:
  TruePositive nam [17,17] = Palestyńczyków (confidence=0.94)
  TruePositive nam [24,24] = ONZ (confidence=0.99)
  TruePositive nam [36,36] = Hamasu (confidence=1.00)

(ChunkerEvaluator) Sentence #1000 from 00107326 from sent6

Text  : Z kolei po stronie izraelskiej dotychczas poległo 5 osób -_ 4_ cywili i_ jeden żołnierz ,_ 35 cywilów zostało rannych ._
Tokens: 1 2____ 3_ 4______ 5__________ 6_________ 7______ 8 9___ 10 11 12____ 13 14___ 15______ 16 17 18_____ 19_____ 20_____ 21

Chunks:

(ChunkerEvaluator) Sentence #1001 from 00107326 from sent7

Text  : Informacje o ofiarach potwierdzają służby ratownictwa medycznego i niezależni obserwatorzy ._
Tokens: 1_________ 2 3_______ 4___________ 5_____ 6__________ 7_________ 8 9_________ 10__________ 11

Chunks:

(ChunkerEvaluator) Sentence #1002 from 00107326 from sent8

Text  : Zobacz poprzedni raport z Operacji Płynny ołów
Tokens: 1_____ 2________ 3_____ 4 5_______ 6_____ 7___

Chunks:
  FalsePositive nam [5,7] = Operacji Płynny ołów (confidence=0.99) (incorrect boundry)
  FalseNegative nam [5,6] = Operacji Płynny

(ChunkerEvaluator) Sentence #1003 from 00107326 from sent9

Text  : Ehud Barak poinformował zaraz po północy , iż została powiększona specjalna strefa wojskowa do 40 km ._ wokół Strefy Gazy ._
Tokens: 1___ 2____ 3___________ 4____ 5_ 6______ 7 8_ 9______ 10_________ 11_______ 12____ 13______ 14 15 16 17 18___ 19____ 20__ 21

Chunks:
  TruePositive nam [1,2] = Ehud Barak (confidence=1.00)
  TruePositive nam [19,20] = Strefy Gazy (confidence=1.00)

(ChunkerEvaluator) Sentence #1004 from 00107326 from sent10

Text  : Wojsko izraelskie rozdawało ulotki cywilom z instrukcjami , jak postępować podczas ataków rakietowych ._
Tokens: 1_____ 2_________ 3________ 4_____ 5______ 6 7___________ 8 9__ 10________ 11_____ 12____ 13_________ 14

Chunks:

(ChunkerEvaluator) Sentence #1005 from 00107326 from sent11

Text  : Nocą na Be'er Shevę i Netivot spadło 5 palestyńskich rakiet ._
Tokens: 1___ 2_ 3____ 4____ 5 6______ 7_____ 8 9____________ 10____ 11

Chunks:
  TruePositive nam [3,4] = Be'er Shevę (confidence=1.00)
  TruePositive nam [6,6] = Netivot (confidence=0.99)

(ChunkerEvaluator) Sentence #1006 from 00107326 from sent12

Text  : Rankiem wystrzelono 6 kolejnych .
Tokens: 1______ 2__________ 3 4________ 5

Chunks:

(ChunkerEvaluator) Sentence #1007 from 00107326 from sent13

Text  : W rejonie Hebronu , Palestyńczycy zdetonowali bombę , obok żydowskiego pojazdu ._
Tokens: 1 2______ 3______ 4 5____________ 6__________ 7____ 8 9___ 10_________ 11_____ 12

Chunks:
  TruePositive nam [3,3] = Hebronu (confidence=1.00)
  TruePositive nam [5,5] = Palestyńczycy (confidence=1.00)

(ChunkerEvaluator) Sentence #1008 from 00107326 from sent14

Text  : Nie ma informacji o ofiarach .
Tokens: 1__ 2_ 3_________ 4 5_______ 6

Chunks:

(ChunkerEvaluator) Sentence #1009 from 00107326 from sent15

Text  : Siły Obronne Izraela przepuściły 5 karetek do Strefy Gazy ._
Tokens: 1___ 2______ 3______ 4__________ 5 6______ 7_ 8_____ 9___ 10

Chunks:
  TruePositive nam [8,9] = Strefy Gazy (confidence=1.00)
  FalsePositive nam [1,3] = Siły Obronne Izraela (confidence=0.88) (incorrect boundry)
  FalseNegative nam [1,2] = Siły Obronne
  FalseNegative nam [3,3] = Izraela

(ChunkerEvaluator) Sentence #1010 from 00107326 from sent16

Text  : Przedtem lotnictwo ostrzelało budynki Hamasu , a także parlament w_ Gazie ._
Tokens: 1_______ 2________ 3_________ 4______ 5_____ 6 7 8____ 9________ 10 11___ 12

Chunks:
  TruePositive nam [5,5] = Hamasu (confidence=1.00)
  TruePositive nam [11,11] = Gazie (confidence=1.00)

(ChunkerEvaluator) Sentence #1011 from 00107326 from sent17

Text  : Podczas bombardowania zniszczona została kwatera milicji Hamasu w Rafah ._
Tokens: 1______ 2____________ 3_________ 4______ 5______ 6______ 7_____ 8 9____ 10

Chunks:
  TruePositive nam [7,7] = Hamasu (confidence=1.00)
  TruePositive nam [9,9] = Rafah (confidence=1.00)

(ChunkerEvaluator) Sentence #1012 from 00107326 from sent18

Text  : W nalotach zginął Nizar Rajan , jeden z dowódców Hamasu ._
Tokens: 1 2_______ 3_____ 4____ 5____ 6 7____ 8 9_______ 10____ 11

Chunks:
  TruePositive nam [4,5] = Nizar Rajan (confidence=1.00)
  TruePositive nam [10,10] = Hamasu (confidence=0.98)

(ChunkerEvaluator) Sentence #1013 from 00107326 from sent19

Text  : To narazie najwyższa głowa , która zginęła podczas Operacji Płynny Ołów ._
Tokens: 1_ 2______ 3________ 4____ 5 6____ 7______ 8______ 9_______ 10____ 11__ 12

Chunks:
  TruePositive nam [9,11] = Operacji Płynny Ołów (confidence=0.98)

(ChunkerEvaluator) Sentence #1014 from 00107326 from sent20

Text  : Tzipi Livni także dziś wyjechała do Francji by spotkać się z_ Nicolasem Sarkozy ._
Tokens: 1____ 2____ 3____ 4___ 5________ 6_ 7______ 8_ 9______ 10_ 11 12_______ 13_____ 14

Chunks:
  TruePositive nam [1,2] = Tzipi Livni (confidence=0.99)
  TruePositive nam [7,7] = Francji (confidence=1.00)
  TruePositive nam [12,13] = Nicolasem Sarkozy (confidence=1.00)

(ChunkerEvaluator) Sentence #1015 from 00107326 from sent21

Text  : Celem wizyty było objaśnienie przyczyn i przebieg operacji .
Tokens: 1____ 2_____ 3___ 4__________ 5_______ 6 7_______ 8_______ 9

Chunks:

2017-06-14 20:06:35,317 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 69 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107330.xml
(ChunkerEvaluator) Sentence #1016 from 00107330 from sent1

Text  : 2009-02-07 : Madagaskar : wojsko otworzyło ogień do demonstrantów
Tokens: 1_________ 2 3_________ 4 5_____ 6________ 7____ 8_ 9____________

Chunks:
  TruePositive nam [3,3] = Madagaskar (confidence=1.00)

(ChunkerEvaluator) Sentence #1017 from 00107330 from sent2

Text  : Podczas dzisiejszych demonstracji przeciwko prezydentowi Marcowi Ravalomananie w stolicy Madagaskaru wojsko otworzyło ogień w_ wyniku czego śmierć poniosły 28 osob ,_ 83 osoby zostały ranne ._
Tokens: 1______ 2___________ 3___________ 4________ 5___________ 6______ 7____________ 8 9______ 10_________ 11____ 12_______ 13___ 14 15____ 16___ 17____ 18______ 19 20__ 21 22 23___ 24_____ 25___ 26

Chunks:
  TruePositive nam [6,7] = Marcowi Ravalomananie (confidence=1.00)
  TruePositive nam [10,10] = Madagaskaru (confidence=1.00)

(ChunkerEvaluator) Sentence #1018 from 00107330 from sent3

Text  : Armia strzelała do demonstrantów w pobliżu pałacu prezydenta .
Tokens: 1____ 2________ 3_ 4____________ 5 6______ 7_____ 8_________ 9

Chunks:

(ChunkerEvaluator) Sentence #1019 from 00107330 from sent4

Text  : W stolicy Madagaskaru od 26 stycznia trwają zamieszki .
Tokens: 1 2______ 3__________ 4_ 5_ 6_______ 7_____ 8________ 9

Chunks:
  TruePositive nam [3,3] = Madagaskaru (confidence=1.00)

(ChunkerEvaluator) Sentence #1020 from 00107330 from sent5

Text  : Kraj buntuje przeciwko polityce prezydenta Marca Ravalomanany .
Tokens: 1___ 2______ 3________ 4_______ 5_________ 6____ 7___________ 8

Chunks:
  TruePositive nam [6,7] = Marca Ravalomanany (confidence=1.00)

(ChunkerEvaluator) Sentence #1021 from 00107330 from sent6

Text  : Od początków protestów na Madagaskarze zginęło już blisko 150 osób ._
Tokens: 1_ 2________ 3________ 4_ 5___________ 6______ 7__ 8_____ 9__ 10__ 11

Chunks:
  TruePositive nam [5,5] = Madagaskarze (confidence=1.00)

2017-06-14 20:06:35,339 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 70 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107337.xml
(ChunkerEvaluator) Sentence #1022 from 00107337 from sent1

Text  : 2009-04-10 : ONZ nie potępi Korei Płn .
Tokens: 1_________ 2 3__ 4__ 5_____ 6____ 7__ 8

Chunks:
  TruePositive nam [3,3] = ONZ (confidence=1.00)
  TruePositive nam [6,7] = Korei Płn (confidence=0.99)

(ChunkerEvaluator) Sentence #1023 from 00107337 from sent2

Text  : Od poniedziałku ( 6.IV ) Rada Bezpieczeństwa ONZ próbuje znaleźć rozwiązanie w_ sprawie zbrojeniowych ambicji Korei Północnej ._
Tokens: 1_ 2___________ 3 4___ 5 6___ 7_____________ 8__ 9______ 10_____ 11_________ 12 13_____ 14___________ 15_____ 16___ 17_______ 18

Chunks:
  TruePositive nam [6,7] = Rada Bezpieczeństwa (confidence=0.93)
  TruePositive nam [8,8] = ONZ (confidence=0.71)
  TruePositive nam [16,17] = Korei Północnej (confidence=1.00)
  FalsePositive nam [4,4] = 6.IV (confidence=0.71) (incorrect boundry)

(ChunkerEvaluator) Sentence #1024 from 00107337 from sent3

Text  : USA chcą oświadczenia , Japonia rezolucji .
Tokens: 1__ 2___ 3___________ 4 5______ 6________ 7

Chunks:
  TruePositive nam [1,1] = USA (confidence=0.83)
  TruePositive nam [5,5] = Japonia (confidence=0.98)

(ChunkerEvaluator) Sentence #1025 from 00107337 from sent4

Text  : Kompromis póki co nie jest możliwy do osiągnięcia .
Tokens: 1________ 2___ 3_ 4__ 5___ 6______ 7_ 8__________ 9

Chunks:

(ChunkerEvaluator) Sentence #1026 from 00107337 from sent5

Text  : Stany Zjednoczone zaproponowały w tej sprawie wystosowanie jedynie oświadczenia ,_ które nie ma obligatoryjnego charakteru ._
Tokens: 1____ 2__________ 3____________ 4 5__ 6______ 7___________ 8______ 9___________ 10 11___ 12_ 13 14_____________ 15________ 16

Chunks:
  TruePositive nam [1,2] = Stany Zjednoczone (confidence=0.91)

(ChunkerEvaluator) Sentence #1027 from 00107337 from sent6

Text  : Japonia całkowicie się temu sprzeciwia .
Tokens: 1______ 2_________ 3__ 4___ 5_________ 6

Chunks:
  TruePositive nam [1,1] = Japonia (confidence=0.89)

(ChunkerEvaluator) Sentence #1028 from 00107337 from sent7

Text  : Sekretarz stanu w ministerstwie spraw zagranicznych Japonii , Shintaro Ito zapowiedział w_ piątek ,_ iż Tokio będzie starać się by Rada przyjęła rezolucję ,_ potępiającą wystrzelenie przez Koreę Północną rakiety balistycznej dalekiego zasięgu ._
Tokens: 1________ 2____ 3 4____________ 5____ 6____________ 7______ 8 9_______ 10_ 11__________ 12 13____ 14 15 16___ 17____ 18____ 19_ 20 21__ 22______ 23_______ 24 25_________ 26__________ 27___ 28___ 29______ 30_____ 31__________ 32_______ 33_____ 34

Chunks:
  TruePositive nam [7,7] = Japonii (confidence=0.95)
  TruePositive nam [9,10] = Shintaro Ito (confidence=1.00)
  TruePositive nam [16,16] = Tokio (confidence=0.97)
  TruePositive nam [28,29] = Koreę Północną (confidence=1.00)
  FalsePositive nam [21,21] = Rada (confidence=0.99) (incorrect boundry)
  FalseNegative nam [4,6] = ministerstwie spraw zagranicznych

(ChunkerEvaluator) Sentence #1029 from 00107337 from sent8

Text  : Inicjatywa Japonii jest jednak ciągle blokowana przez Chiny .
Tokens: 1_________ 2______ 3___ 4_____ 5_____ 6________ 7____ 8____ 9

Chunks:
  TruePositive nam [2,2] = Japonii (confidence=0.96)
  TruePositive nam [8,8] = Chiny (confidence=1.00)

(ChunkerEvaluator) Sentence #1030 from 00107337 from sent9

Text  : Przyczyną obaw państw zachodnich jest próbne wystrzelenie rakiety dalekiego zasięgu ._
Tokens: 1________ 2___ 3_____ 4_________ 5___ 6_____ 7___________ 8______ 9________ 10_____ 11

Chunks:

(ChunkerEvaluator) Sentence #1031 from 00107337 from sent10

Text  : Pjongjang temu zaprzecza .
Tokens: 1________ 2___ 3________ 4

Chunks:
  FalseNegative nam [1,1] = Pjongjang

(ChunkerEvaluator) Sentence #1032 from 00107337 from sent11

Text  : Zdaniem Korei Północnej na orbicie została umieszczona rakieta Taepondong -_ 2_ ,_ umożliwiająca nadawanie pieśni patriotycznych ._
Tokens: 1______ 2____ 3________ 4_ 5______ 6______ 7__________ 8______ 9_________ 10 11 12 13___________ 14_______ 15____ 16____________ 17

Chunks:
  TruePositive nam [2,3] = Korei Północnej (confidence=0.90)
  TruePositive nam [9,11] = Taepondong - 2 (confidence=0.99)

2017-06-14 20:06:35,377 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 71 from 71: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107348.xml
(ChunkerEvaluator) Sentence #1033 from 00107348 from sent1

Text  : 2009-10-03 : Irlandia : wyniki powtórkowego referendum ws . traktatu lizbońskiego
Tokens: 1_________ 2 3_______ 4 5_____ 6___________ 7_________ 8_ 9 10______ 11__________

Chunks:
  TruePositive nam [3,3] = Irlandia (confidence=0.99)

(ChunkerEvaluator) Sentence #1034 from 00107348 from sent2

Text  : Wg oficjalnych wyników 67 , 1 % głosującego irlandzkiego społeczeństwa opowiedziała się za traktatem ._
Tokens: 1_ 2__________ 3______ 4_ 5 6 7 8__________ 9___________ 10___________ 11__________ 12_ 13 14_______ 15

Chunks:

(ChunkerEvaluator) Sentence #1035 from 00107348 from sent3

Text  : Oznacza to , żeby traktat wszedł w życie potrzebne są jeszcze podpisy prezydentów Czech i_ Polski ._
Tokens: 1______ 2_ 3 4___ 5______ 6_____ 7 8____ 9________ 10 11_____ 12_____ 13_________ 14___ 15 16____ 17

Chunks:
  TruePositive nam [14,14] = Czech (confidence=1.00)
  TruePositive nam [16,16] = Polski (confidence=1.00)

(ChunkerEvaluator) Sentence #1036 from 00107348 from sent4

Text  : Opinie po wyborach
Tokens: 1_____ 2_ 3_______

Chunks:

(ChunkerEvaluator) Sentence #1037 from 00107348 from sent5

Text  : Od rana trwało liczenie głosów .
Tokens: 1_ 2___ 3_____ 4_______ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #1038 from 00107348 from sent6

Text  : Wg nieoficjalnych danych pojawiających się w ciągu dnia ok ._ 60 %_ Irlandczyków oddało głosy za przyjęciem traktatu ._
Tokens: 1_ 2_____________ 3_____ 4____________ 5__ 6 7____ 8___ 9_ 10 11 12 13__________ 14____ 15___ 16 17________ 18______ 19

Chunks:
  TruePositive nam [13,13] = Irlandczyków (confidence=0.91)

(ChunkerEvaluator) Sentence #1039 from 00107348 from sent7

Text  : Irlandzki minister spraw zagranicznych Micheal Martin kilka godzin po zakończeniu głosowania oznajmił ,_ że większość Irlandczyków głosowała na tak ._
Tokens: 1________ 2_______ 3____ 4____________ 5______ 6_____ 7____ 8_____ 9_ 10_________ 11________ 12______ 13 14 15_______ 16__________ 17_______ 18 19_ 20

Chunks:
  TruePositive nam [5,6] = Micheal Martin (confidence=1.00)
  TruePositive nam [16,16] = Irlandczyków (confidence=0.99)

(ChunkerEvaluator) Sentence #1040 from 00107348 from sent8

Text  : Jeszcze przed ogłoszeniem oficjalnych wyników premier Irlandii Brian Cowen ogłosił ,_ iż większość uczestniczących Irlandczyków w_ wyborach głosowała na tak ._
Tokens: 1______ 2____ 3__________ 4__________ 5______ 6______ 7_______ 8____ 9____ 10_____ 11 12 13_______ 14_____________ 15__________ 16 17______ 18_______ 19 20_ 21

Chunks:
  TruePositive nam [7,7] = Irlandii (confidence=1.00)
  TruePositive nam [8,9] = Brian Cowen (confidence=0.96)
  TruePositive nam [15,15] = Irlandczyków (confidence=0.99)

(ChunkerEvaluator) Sentence #1041 from 00107348 from sent9

Text  : Podjęli śmy zdecydowany krok ku silniejszej , uczciwszej i lepszej Europie ._
Tokens: 1______ 2__ 3__________ 4___ 5_ 6__________ 7 8_________ 9 10_____ 11_____ 12

Chunks:
  TruePositive nam [11,11] = Europie (confidence=0.93)

(ChunkerEvaluator) Sentence #1042 from 00107348 from sent10

Text  : Dzisiaj powiedzieli śmy innym krajom Europy , że jesteśmy z_ nimi -_ mówił irlandzki premier ._
Tokens: 1______ 2__________ 3__ 4____ 5_____ 6_____ 7 8_ 9_______ 10 11__ 12 13___ 14_______ 15_____ 16

Chunks:
  TruePositive nam [6,6] = Europy (confidence=0.99)

(ChunkerEvaluator) Sentence #1043 from 00107348 from sent11

Text  : Wynik oficjalny
Tokens: 1____ 2________

Chunks:

(ChunkerEvaluator) Sentence #1044 from 00107348 from sent12

Text  : 67 , 1 % Irlandczyków poparło traktat .
Tokens: 1_ 2 3 4 5___________ 6______ 7______ 8

Chunks:
  TruePositive nam [5,5] = Irlandczyków (confidence=0.93)

(ChunkerEvaluator) Sentence #1045 from 00107348 from sent13

Text  : 32 , 9 proc głosowało przeciw .
Tokens: 1_ 2 3 4___ 5________ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #1046 from 00107348 from sent14

Text  : Frekwencja wyniosła 58 proc .
Tokens: 1_________ 2_______ 3_ 4___ 5

Chunks:

(ChunkerEvaluator) Sentence #1047 from 00107348 from sent15

Text  : Teraz Europa patrzy na Czechy i Polskę , bowiem prezydenci tych krajów Vaclav Kalus i_ Lech Kaczyński nie ratyfikowali tego dokumentu ._
Tokens: 1____ 2_____ 3_____ 4_ 5_____ 6 7_____ 8 9_____ 10________ 11__ 12____ 13____ 14___ 15 16__ 17_______ 18_ 19__________ 20__ 21_______ 22

Chunks:
  TruePositive nam [2,2] = Europa (confidence=0.99)
  TruePositive nam [5,5] = Czechy (confidence=0.99)
  TruePositive nam [7,7] = Polskę (confidence=0.99)
  TruePositive nam [13,14] = Vaclav Kalus (confidence=1.00)
  TruePositive nam [16,17] = Lech Kaczyński (confidence=1.00)

(ChunkerEvaluator) Sentence #1048 from 00107348 from sent16

Text  : Ostatnim prezydentem , który to uczynił był Horst Köhler ._
Tokens: 1_______ 2__________ 3 4____ 5_ 6______ 7__ 8____ 9_____ 10

Chunks:
  TruePositive nam [8,9] = Horst Köhler (confidence=1.00)

(ChunkerEvaluator) Sentence #1049 from 00107348 from sent17

Text  : Do ratyfikacji traktatu przez Niemcy doszło 25 września .
Tokens: 1_ 2__________ 3_______ 4____ 5_____ 6_____ 7_ 8_______ 9

Chunks:
  TruePositive nam [5,5] = Niemcy (confidence=1.00)

(ChunkerEvaluator) Sentence #1050 from 00107348 from sent18

Text  : Dowiedz się więcej o traktacie lizbońskim w Wikipedii
Tokens: 1______ 2__ 3_____ 4 5________ 6_________ 7 8________

Chunks:
  TruePositive nam [8,8] = Wikipedii (confidence=1.00)

======================================================================================
# Exact match evaluation -- annotation span and types evaluation
======================================================================================
        Annotation                     &      TP &      FP &      FN & Precision & Recall  & F$_1$   \\
\hline
        nam                            &     792 &     151 &     154 &    83.99% &  83.72% &  83.85% \\
\hline
        *TOTAL*                        &     792 &     151 &     154 &    83.99% &  83.72% &  83.85% \\


======================================================================================
# Annotation span evaluation (annotation types are ignored)
======================================================================================
        Annotation                     &      TP &      FP &      FN & Precision & Recall  & F$_1$   \\
\hline
        *TOTAL*                        &     792 &     151 &     154 &    83.99% &  83.72% &  83.85% \\


======================================================================================
# MUC match evaluation
======================================================================================
        Annotation                     &     COR &     ACT &     POS & Precision & Recall  & F$_1$   \\
\hline
        nam                            &    1673 &     213 &     219 &    88.71% &  88.42% &  88.57% \\
\hline
        *TOTAL*                        &    1673 &     213 &     219 &    88.71% &  88.42% &  88.57% \\


====================================================
Processing time
====================================================
1) Model loading        : --h 03m 34s (214673656815ns) 
2) Data reading         : --h --m 00s (185722026ns) 
3) Feature generation   : --h --m 00s (966777564ns) 
4) Chunking             : --h --m 01s (1953318454ns) 
5) Evaluation           : --h --m 01s (1829420010ns) (not in total time)
----------------------------------------------------
## Total time             --h 03m 37s (217779474859ns)
----------------------------------------------------
Tokens           :    17755
Text kB          :      106.76
Tokens  / second :       81.53
Text kB / second :        0.49
----------------------------------------------------
***************************************** FOLD 3 *****************************************
2017-06-14 20:06:35,442 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100527.xml
2017-06-14 20:06:35,448 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 2 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100531.xml
2017-06-14 20:06:35,456 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 3 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101201.xml
2017-06-14 20:06:35,460 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101234.xml
2017-06-14 20:06:35,484 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101263.xml
2017-06-14 20:06:35,511 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101276.xml
2017-06-14 20:06:35,513 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 7 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101294.xml
2017-06-14 20:06:35,531 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 8 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101306.xml
2017-06-14 20:06:35,553 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 9 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101317.xml
2017-06-14 20:06:35,555 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 10 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101350.xml
2017-06-14 20:06:35,562 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 11 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101392.xml
2017-06-14 20:06:35,586 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 12 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101395.xml
2017-06-14 20:06:35,597 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 13 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101398.xml
2017-06-14 20:06:35,600 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 14 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101399.xml
2017-06-14 20:06:35,606 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 15 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101414.xml
2017-06-14 20:06:35,613 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 16 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101434.xml
2017-06-14 20:06:35,624 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 17 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101457.xml
2017-06-14 20:06:35,629 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 18 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101467.xml
2017-06-14 20:06:35,631 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 19 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101480.xml
2017-06-14 20:06:35,636 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 20 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101496.xml
2017-06-14 20:06:35,649 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 21 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101498.xml
2017-06-14 20:06:35,652 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 22 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101514.xml
2017-06-14 20:06:35,678 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 23 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101560.xml
2017-06-14 20:06:35,703 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 24 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101597.xml
2017-06-14 20:06:35,724 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 25 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101607.xml
2017-06-14 20:06:35,750 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 26 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101612.xml
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2017-06-14 20:06:36,031 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 44 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102689.xml
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2017-06-14 20:06:36,119 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 49 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103570.xml
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2017-06-14 20:06:40,790 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 351 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00099883.xml
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2017-06-14 20:06:42,585 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 452 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102023.xml
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2017-06-14 20:06:42,635 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 455 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102040.xml
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2017-06-14 20:06:42,660 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 457 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102125.xml
2017-06-14 20:06:42,667 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 458 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102260.xml
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2017-06-14 20:06:42,717 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 460 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102270.xml
2017-06-14 20:06:42,734 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 461 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102274.xml
2017-06-14 20:06:42,927 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 462 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102314.xml
2017-06-14 20:06:42,943 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 463 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102377.xml
2017-06-14 20:06:42,959 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 464 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102393.xml
2017-06-14 20:06:42,976 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 465 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102427.xml
2017-06-14 20:06:42,989 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 466 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102472.xml
2017-06-14 20:06:42,991 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 467 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102498.xml
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2017-06-14 20:06:43,031 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 470 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102668.xml
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2017-06-14 20:06:43,071 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 474 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103634.xml
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2017-06-14 20:06:43,130 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 477 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103874.xml
2017-06-14 20:06:43,144 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 478 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103898.xml
2017-06-14 20:06:43,159 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 479 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103914.xml
2017-06-14 20:06:43,173 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 480 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103924.xml
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2017-06-14 20:06:43,241 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 484 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107263.xml
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2017-06-14 20:06:43,259 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 486 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107319.xml
2017-06-14 20:06:43,275 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 487 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100539.xml
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2017-06-14 20:06:43,331 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 490 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101165.xml
2017-06-14 20:06:43,358 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 491 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101177.xml
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2017-06-14 20:06:44,468 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 558 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100622.xml
2017-06-14 20:06:44,473 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 559 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101187.xml
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2017-06-14 20:06:44,600 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 572 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101405.xml
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2017-06-14 20:06:44,691 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 579 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101550.xml
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2017-06-14 20:06:44,725 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 581 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101600.xml
2017-06-14 20:06:44,746 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 582 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101616.xml
2017-06-14 20:06:44,767 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 583 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101705.xml
2017-06-14 20:06:44,795 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 584 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101749.xml
2017-06-14 20:06:44,806 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 585 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101766.xml
2017-06-14 20:06:44,831 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 586 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101816.xml
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2017-06-14 20:06:44,868 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 589 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101849.xml
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2017-06-14 20:06:44,897 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 591 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101936.xml
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2017-06-14 20:06:44,935 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 593 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102017.xml
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2017-06-14 20:06:44,995 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 596 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102044.xml
2017-06-14 20:06:45,010 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 597 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102087.xml
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2017-06-14 20:06:45,020 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 599 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102224.xml
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2017-06-14 20:06:45,107 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 603 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102412.xml
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2017-06-14 20:06:45,345 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 619 from 622: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107272.xml
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2017-06-14 20:06:45,393 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100508.xml
2017-06-14 20:06:45,394 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 2 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100518.xml
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2017-06-14 20:06:45,417 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101189.xml
2017-06-14 20:06:45,444 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101190.xml
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2017-06-14 20:06:45,765 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 24 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101813.xml
2017-06-14 20:06:45,774 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 25 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101863.xml
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2017-06-14 20:06:45,987 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 43 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102716.xml
2017-06-14 20:06:45,995 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 44 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103578.xml
2017-06-14 20:06:46,028 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 45 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103674.xml
2017-06-14 20:06:46,045 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 46 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103762.xml
2017-06-14 20:06:46,046 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 47 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103873.xml
2017-06-14 20:06:46,068 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 48 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103921.xml
2017-06-14 20:06:46,087 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 49 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103944.xml
2017-06-14 20:06:46,105 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 50 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103952.xml
2017-06-14 20:06:46,125 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 51 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103958.xml
2017-06-14 20:06:46,143 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 52 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107244.xml
2017-06-14 20:06:46,149 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 53 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107273.xml
2017-06-14 20:06:46,157 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 54 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107283.xml
2017-06-14 20:06:46,172 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 55 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107311.xml
2017-06-14 20:06:46,187 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 56 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107317.xml
2017-06-14 20:06:46,198 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 57 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107325.xml
2017-06-14 20:06:46,221 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 58 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107327.xml
-> Setting up chunker: chunker_c1
(TokenFeatureGenerator) Loading features...
[orth, base, ctag, synonym, hypernym-1, hypernym-2, hypernym-3, top4hyper-1, top4hyper-2, top4hyper-3, class, case, number, gender, pattern, prefix-1, prefix-2, prefix-3, prefix-4, suffix-1, suffix-2, suffix-3, suffix-4, all_alphanumeric, all_digits, all_letters, all_upper, has_upper_case, has_lower_case, has_symbol, has_digit, starts_with_upper_case, starts_with_lower_case, starts_with_symbol, starts_with_digit, is_number, no_alphanumeric, no_letters, struct, length, dict_person_first_nam, dict_person_last_nam, dict_country_nam, dict_city_nam, dict_road_nam, dict_person_prefix, dict_person_noun, dict_person_suffix, dict_road_prefix, dict_country_prefix, dict_trigger_int_bloc, dict_trigger_ext_bloc, dict_trigger_int_country, dict_trigger_ext_country, dict_trigger_int_district, dict_trigger_ext_district, dict_trigger_int_geogName, dict_trigger_ext_geogName, dict_trigger_int_orgName, dict_trigger_ext_orgName, dict_trigger_int_persName, dict_trigger_ext_persName, dict_trigger_int_region, dict_trigger_ext_region, dict_trigger_int_settlement, dict_trigger_ext_settlement, agr1, parenthesis, quotation, nospace]
--> CRFPP Chunker train
--> Training on file={CV_TRAIN}
(TemplateFactory) parsing template: /home/czuk/nlp/eclipse/workspace_liner2/liner2_master/../models-workdir/liner2.5/liner25_model_ner_kpwr12/ini/template-jrip.txt
(TemplateFactory) Adding feature:orth:-2:-1:0:1:2
(TemplateFactory) feature:orth:-2:-1:0:1:2
(TemplateFactory) Adding feature:base:-2:-1:0:1:2
(TemplateFactory) feature:base:-2:-1:0:1:2
(TemplateFactory) Adding feature:synonym:-2:-1:0:1:2
(TemplateFactory) feature:synonym:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-1:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-2:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-2:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-3:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:class:-1:0:1
(TemplateFactory) feature:class:-1:0:1
(TemplateFactory) Adding feature:case:0
(TemplateFactory) feature:case:0
(TemplateFactory) Adding feature:gender:-2:-1:0:1:2
(TemplateFactory) feature:gender:-2:-1:0:1:2
(TemplateFactory) Adding feature:pattern:0
(TemplateFactory) feature:pattern:0
(TemplateFactory) Adding feature:prefix-1:-2:-1:0:1:2
(TemplateFactory) feature:prefix-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:prefix-3:-2:-1:0:1:2
(TemplateFactory) feature:prefix-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:prefix-4:-2:-1:0:1:2
(TemplateFactory) feature:prefix-4:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-1:-2:-1:0:1:2
(TemplateFactory) feature:suffix-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-2:-2:-1:0:1:2
(TemplateFactory) feature:suffix-2:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-3:-2:-1:0:1:2
(TemplateFactory) feature:suffix-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-4:-2:-1:0:1:2
(TemplateFactory) feature:suffix-4:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_upper_case:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_upper_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_lower_case:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_lower_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_symbol:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_symbol:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_digit:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_digit:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_upper_case:-2:-1:0:1:2
(TemplateFactory) feature:has_upper_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_lower_case:-2:-1:0:1:2
(TemplateFactory) feature:has_lower_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_symbol:-2:-1:0:1:2
(TemplateFactory) feature:has_symbol:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_digit:-2:-1:0:1:2
(TemplateFactory) feature:has_digit:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_first_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_first_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_last_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_last_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_country_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_country_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_city_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_city_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_road_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_road_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_noun:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_noun:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_suffix:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_suffix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_road_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_road_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_country_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_country_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:base:-4/dict_person_first_nam:-3/dict_person_last_nam:-2/base:-1/dict_person_last_nam:0
(TemplateFactory) feature:base:-4/dict_person_first_nam:-3/dict_person_last_nam:-2/base:-1/dict_person_last_nam:0
(TemplateFactory) Adding feature:dict_trigger_int_bloc:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_bloc:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_bloc:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_bloc:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_country:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_country:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_country:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_country:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_district:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_district:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_district:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_district:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_geogName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_geogName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_geogName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_geogName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_orgName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_orgName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_orgName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_orgName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_persName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_persName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_persName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_persName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_region:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_region:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_region:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_region:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_settlement:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_settlement:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_settlement:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_settlement:-2:-1:0:1:2
(TemplateFactory) Adding feature:agr1:-2:-1:0:1:2
(TemplateFactory) feature:agr1:-2:-1:0:1:2
(TemplateFactory) Adding feature:nospace:-2:-1:0:1:2
(TemplateFactory) feature:nospace:-2:-1:0:1:2
(TemplateFactory) Adding feature:parenthesis:-2:-1:0:1:2
(TemplateFactory) feature:parenthesis:-2:-1:0:1:2
(TemplateFactory) Adding feature:quotation:-2:-1:0:1:2
(TemplateFactory) feature:quotation:-2:-1:0:1:2
(TemplateFactory) Adding feature:length:-2:-1:0:1:2
(TemplateFactory) feature:length:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_upper_case:0/agr1:-1/pattern:2/has_upper_case:-1/case:0/number:-1
(TemplateFactory) feature:has_upper_case:0/agr1:-1/pattern:2/has_upper_case:-1/case:0/number:-1
(TemplateFactory) Adding feature:has_upper_case:0/all_digits:-1/all_upper:-2/length:1/nospace:1
(TemplateFactory) feature:has_upper_case:0/all_digits:-1/all_upper:-2/length:1/nospace:1
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/ctag:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/ctag:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/has_upper_case:1
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/has_upper_case:1
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/agr1:1/pattern:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/agr1:1/pattern:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/class:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/class:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/starts_with_digit:-2/starts_with_lower_case:1/case:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/starts_with_digit:-2/starts_with_lower_case:1/case:0
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/has_upper_case:1
(TemplateFactory) feature:has_upper_case:0/ctag:0/has_upper_case:1
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/parenthesis:0/class:2/agr1:2
(TemplateFactory) feature:has_upper_case:0/ctag:0/parenthesis:0/class:2/agr1:2
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/suffix-1:0
(TemplateFactory) feature:has_upper_case:0/ctag:0/suffix-1:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/all_upper:-2/all_alphanumeric:2/starts_with_lower_case:2/all_alphanumeric:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/all_upper:-2/all_alphanumeric:2/starts_with_lower_case:2/all_alphanumeric:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_digit:-2/has_lower_case:0/nospace:-1/nospace:-2/ctag:-1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_digit:-2/has_lower_case:0/nospace:-1/nospace:-2/ctag:-1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-1/all_alphanumeric:2/class:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-1/all_alphanumeric:2/class:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/all_letters:-1/ctag:0/all_alphanumeric:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/all_letters:-1/ctag:0/all_alphanumeric:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/length:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/length:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/starts_with_lower_case:1/orth:-1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/starts_with_lower_case:1/orth:-1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/pattern:-1/class:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/pattern:-1/class:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/pattern:1/parenthesis:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/pattern:1/parenthesis:0
(TemplateFactory) Adding feature:has_upper_case:0/starts_with_lower_case:1/case:0/orth:2
(TemplateFactory) feature:has_upper_case:0/starts_with_lower_case:1/case:0/orth:2
(TemplateFactory) Adding feature:has_upper_case:0/starts_with_lower_case:1/case:0/pattern:1/agr1:1/gender:0
(TemplateFactory) feature:has_upper_case:0/starts_with_lower_case:1/case:0/pattern:1/agr1:1/gender:0
(TemplateFactory) Adding feature:has_upper_case:-1/has_upper_case:0/nospace:-2/pattern:0
(TemplateFactory) feature:has_upper_case:-1/has_upper_case:0/nospace:-2/pattern:0
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/all_letters:1/orth:0/starts_with_lower_case:-2
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/all_letters:1/orth:0/starts_with_lower_case:-2
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/orth:0/nospace:-1
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/orth:0/nospace:-1
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/parenthesis:-2/class:-2/orth:-1
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/parenthesis:-2/class:-2/orth:-1
(TemplateFactory) Adding feature:has_upper_case:-2/has_upper_case:0/orth:-1/nospace:-2
(TemplateFactory) feature:has_upper_case:-2/has_upper_case:0/orth:-1/nospace:-2
(TemplateFactory) Adding feature:has_upper_case:-2/starts_with_upper_case:0/orth:-1
(TemplateFactory) feature:has_upper_case:-2/starts_with_upper_case:0/orth:-1
(TemplateFactory) Adding feature:starts_with_lower_case:-1/has_upper_case:0/case:-1/case:2
(TemplateFactory) feature:starts_with_lower_case:-1/has_upper_case:0/case:-1/case:2
(TemplateFactory) Adding feature:starts_with_lower_case:-1/has_upper_case:0/pattern:-1/ctag:-1/pattern:0
(TemplateFactory) feature:starts_with_lower_case:-1/has_upper_case:0/pattern:-1/ctag:-1/pattern:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_lower_case:-1/all_letters:-1/parenthesis:-2/pattern:1/length:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_lower_case:-1/all_letters:-1/parenthesis:-2/pattern:1/length:0
(TemplateFactory) Adding feature:starts_with_lower_case:-1/starts_with_upper_case:0/class:-1/agr1:0/gender:-1
(TemplateFactory) feature:starts_with_lower_case:-1/starts_with_upper_case:0/class:-1/agr1:0/gender:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/class:-2/no_letters:0/length:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/class:-2/no_letters:0/length:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/agr1:-2/ctag:-2
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/agr1:-2/ctag:-2
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/case:-1/ctag:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/case:-1/ctag:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/ctag:-2/struct:-2
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/ctag:-2/struct:-2
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/quotation:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/quotation:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/pattern:0/length:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/pattern:0/length:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/starts_with_upper_case:0/length:-1/ctag:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/starts_with_upper_case:0/length:-1/ctag:-1
(TemplateFactory) Adding feature:starts_with_upper_case:0/agr1:-1/gender:0/number:0
(TemplateFactory) feature:starts_with_upper_case:0/agr1:-1/gender:0/number:0
(TemplateFactory) Adding feature:starts_with_upper_case:0/agr1:-1/orth:-1/class:-2
(TemplateFactory) feature:starts_with_upper_case:0/agr1:-1/orth:-1/class:-2
(TemplateFactory) Adding feature:starts_with_upper_case:0/class:0/gender:0/prefix-1:0/all_alphanumeric:1
(TemplateFactory) feature:starts_with_upper_case:0/class:0/gender:0/prefix-1:0/all_alphanumeric:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/class:0/starts_with_lower_case:1/struct:2/agr1:1
(TemplateFactory) feature:starts_with_upper_case:0/class:0/starts_with_lower_case:1/struct:2/agr1:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/ctag:0/parenthesis:0/class:1
(TemplateFactory) feature:starts_with_upper_case:0/ctag:0/parenthesis:0/class:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/dict_person_first_nam:-1/class:0/parenthesis:2/ctag:0
(TemplateFactory) feature:starts_with_upper_case:0/dict_person_first_nam:-1/class:0/parenthesis:2/ctag:0
(TemplateFactory) Adding feature:starts_with_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/has_digit:-2/gender:1
(TemplateFactory) feature:starts_with_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/has_digit:-2/gender:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/starts_with_lower_case:1/case:0/suffix-2:1
(TemplateFactory) feature:starts_with_upper_case:0/starts_with_lower_case:1/case:0/suffix-2:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/starts_with_lower_case:1/pattern:1/length:2/nospace:1/case:0/ctag:2
(TemplateFactory) feature:starts_with_upper_case:0/starts_with_lower_case:1/pattern:1/length:2/nospace:1/case:0/ctag:2
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_lower_case:1/all_digits:-2/has_upper_case:1/orth:0
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_lower_case:1/all_digits:-2/has_upper_case:1/orth:0
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_lower_case:1/starts_with_upper_case:0/nospace:2/gender:-1
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_lower_case:1/starts_with_upper_case:0/nospace:2/gender:-1
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/agr1:1/has_lower_case:2
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/agr1:1/has_lower_case:2
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/nospace:0
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/nospace:0
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/pattern:2/suffix-1:-1
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/pattern:2/suffix-1:-1
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Loading training data for CRF from document:00107362
Training CRF classifer using features:
orth[-2]
orth[-1]
orth[0]
orth[1]
orth[2]
base[-2]
base[-1]
base[0]
base[1]
base[2]
synonym[-2]
synonym[-1]
synonym[0]
synonym[1]
synonym[2]
hypernym-1[-2]
hypernym-1[-1]
hypernym-1[0]
hypernym-1[1]
hypernym-1[2]
hypernym-2[-2]
hypernym-2[-1]
hypernym-2[0]
hypernym-2[1]
hypernym-2[2]
hypernym-3[-2]
hypernym-3[-1]
hypernym-3[0]
hypernym-3[1]
hypernym-3[2]
class[-1]
class[0]
class[1]
case[0]
gender[-2]
gender[-1]
gender[0]
gender[1]
gender[2]
pattern[0]
prefix-1[-2]
prefix-1[-1]
prefix-1[0]
prefix-1[1]
prefix-1[2]
prefix-3[-2]
prefix-3[-1]
prefix-3[0]
prefix-3[1]
prefix-3[2]
prefix-4[-2]
prefix-4[-1]
prefix-4[0]
prefix-4[1]
prefix-4[2]
suffix-1[-2]
suffix-1[-1]
suffix-1[0]
suffix-1[1]
suffix-1[2]
suffix-2[-2]
suffix-2[-1]
suffix-2[0]
suffix-2[1]
suffix-2[2]
suffix-3[-2]
suffix-3[-1]
suffix-3[0]
suffix-3[1]
suffix-3[2]
suffix-4[-2]
suffix-4[-1]
suffix-4[0]
suffix-4[1]
suffix-4[2]
starts_with_upper_case[-2]
starts_with_upper_case[-1]
starts_with_upper_case[0]
starts_with_upper_case[1]
starts_with_upper_case[2]
starts_with_lower_case[-2]
starts_with_lower_case[-1]
starts_with_lower_case[0]
starts_with_lower_case[1]
starts_with_lower_case[2]
starts_with_symbol[-2]
starts_with_symbol[-1]
starts_with_symbol[0]
starts_with_symbol[1]
starts_with_symbol[2]
starts_with_digit[-2]
starts_with_digit[-1]
starts_with_digit[0]
starts_with_digit[1]
starts_with_digit[2]
has_upper_case[-2]
has_upper_case[-1]
has_upper_case[0]
has_upper_case[1]
has_upper_case[2]
has_lower_case[-2]
has_lower_case[-1]
has_lower_case[0]
has_lower_case[1]
has_lower_case[2]
has_symbol[-2]
has_symbol[-1]
has_symbol[0]
has_symbol[1]
has_symbol[2]
has_digit[-2]
has_digit[-1]
has_digit[0]
has_digit[1]
has_digit[2]
dict_person_first_nam[-2]
dict_person_first_nam[-1]
dict_person_first_nam[0]
dict_person_first_nam[1]
dict_person_first_nam[2]
dict_person_last_nam[-2]
dict_person_last_nam[-1]
dict_person_last_nam[0]
dict_person_last_nam[1]
dict_person_last_nam[2]
dict_country_nam[-2]
dict_country_nam[-1]
dict_country_nam[0]
dict_country_nam[1]
dict_country_nam[2]
dict_city_nam[-2]
dict_city_nam[-1]
dict_city_nam[0]
dict_city_nam[1]
dict_city_nam[2]
dict_road_nam[-2]
dict_road_nam[-1]
dict_road_nam[0]
dict_road_nam[1]
dict_road_nam[2]
dict_person_prefix[-2]
dict_person_prefix[-1]
dict_person_prefix[0]
dict_person_prefix[1]
dict_person_prefix[2]
dict_person_noun[-2]
dict_person_noun[-1]
dict_person_noun[0]
dict_person_noun[1]
dict_person_noun[2]
dict_person_suffix[-2]
dict_person_suffix[-1]
dict_person_suffix[0]
dict_person_suffix[1]
dict_person_suffix[2]
dict_road_prefix[-2]
dict_road_prefix[-1]
dict_road_prefix[0]
dict_road_prefix[1]
dict_road_prefix[2]
dict_country_prefix[-2]
dict_country_prefix[-1]
dict_country_prefix[0]
dict_country_prefix[1]
dict_country_prefix[2]
base[-4]_dict_person_first_nam[-3]_dict_person_last_nam[-2]_base[-1]_dict_person_last_nam[0]
dict_trigger_int_bloc[-2]
dict_trigger_int_bloc[-1]
dict_trigger_int_bloc[0]
dict_trigger_int_bloc[1]
dict_trigger_int_bloc[2]
dict_trigger_ext_bloc[-2]
dict_trigger_ext_bloc[-1]
dict_trigger_ext_bloc[0]
dict_trigger_ext_bloc[1]
dict_trigger_ext_bloc[2]
dict_trigger_int_country[-2]
dict_trigger_int_country[-1]
dict_trigger_int_country[0]
dict_trigger_int_country[1]
dict_trigger_int_country[2]
dict_trigger_ext_country[-2]
dict_trigger_ext_country[-1]
dict_trigger_ext_country[0]
dict_trigger_ext_country[1]
dict_trigger_ext_country[2]
dict_trigger_int_district[-2]
dict_trigger_int_district[-1]
dict_trigger_int_district[0]
dict_trigger_int_district[1]
dict_trigger_int_district[2]
dict_trigger_ext_district[-2]
dict_trigger_ext_district[-1]
dict_trigger_ext_district[0]
dict_trigger_ext_district[1]
dict_trigger_ext_district[2]
dict_trigger_int_geogName[-2]
dict_trigger_int_geogName[-1]
dict_trigger_int_geogName[0]
dict_trigger_int_geogName[1]
dict_trigger_int_geogName[2]
dict_trigger_ext_geogName[-2]
dict_trigger_ext_geogName[-1]
dict_trigger_ext_geogName[0]
dict_trigger_ext_geogName[1]
dict_trigger_ext_geogName[2]
dict_trigger_int_orgName[-2]
dict_trigger_int_orgName[-1]
dict_trigger_int_orgName[0]
dict_trigger_int_orgName[1]
dict_trigger_int_orgName[2]
dict_trigger_ext_orgName[-2]
dict_trigger_ext_orgName[-1]
dict_trigger_ext_orgName[0]
dict_trigger_ext_orgName[1]
dict_trigger_ext_orgName[2]
dict_trigger_int_persName[-2]
dict_trigger_int_persName[-1]
dict_trigger_int_persName[0]
dict_trigger_int_persName[1]
dict_trigger_int_persName[2]
dict_trigger_ext_persName[-2]
dict_trigger_ext_persName[-1]
dict_trigger_ext_persName[0]
dict_trigger_ext_persName[1]
dict_trigger_ext_persName[2]
dict_trigger_int_region[-2]
dict_trigger_int_region[-1]
dict_trigger_int_region[0]
dict_trigger_int_region[1]
dict_trigger_int_region[2]
dict_trigger_ext_region[-2]
dict_trigger_ext_region[-1]
dict_trigger_ext_region[0]
dict_trigger_ext_region[1]
dict_trigger_ext_region[2]
dict_trigger_int_settlement[-2]
dict_trigger_int_settlement[-1]
dict_trigger_int_settlement[0]
dict_trigger_int_settlement[1]
dict_trigger_int_settlement[2]
dict_trigger_ext_settlement[-2]
dict_trigger_ext_settlement[-1]
dict_trigger_ext_settlement[0]
dict_trigger_ext_settlement[1]
dict_trigger_ext_settlement[2]
agr1[-2]
agr1[-1]
agr1[0]
agr1[1]
agr1[2]
nospace[-2]
nospace[-1]
nospace[0]
nospace[1]
nospace[2]
parenthesis[-2]
parenthesis[-1]
parenthesis[0]
parenthesis[1]
parenthesis[2]
quotation[-2]
quotation[-1]
quotation[0]
quotation[1]
quotation[2]
length[-2]
length[-1]
length[0]
length[1]
length[2]
has_upper_case[0]_agr1[-1]_pattern[2]_has_upper_case[-1]_case[0]_number[-1]
has_upper_case[0]_all_digits[-1]_all_upper[-2]_length[1]_nospace[1]
has_upper_case[0]_all_upper[-1]_pattern[-1]_ctag[0]
has_upper_case[0]_all_upper[-1]_pattern[-1]_has_upper_case[1]
has_upper_case[0]_all_upper[-1]_pattern[-1]_pattern[-2]_agr1[1]_pattern[0]
has_upper_case[0]_all_upper[-1]_pattern[-1]_pattern[-2]_class[0]
has_upper_case[0]_all_upper[-1]_starts_with_digit[-2]_starts_with_lower_case[1]_case[0]
has_upper_case[0]_ctag[0]_has_upper_case[1]
has_upper_case[0]_ctag[0]_parenthesis[0]_class[2]_agr1[2]
has_upper_case[0]_ctag[0]_suffix-1[0]
has_upper_case[0]_dict_person_first_nam[-1]_all_upper[-2]_all_alphanumeric[2]_starts_with_lower_case[2]_all_alphanumeric[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_digit[-2]_has_lower_case[0]_nospace[-1]_nospace[-2]_ctag[-1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-1]_all_alphanumeric[2]_class[0]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[2]_all_letters[-1]_ctag[0]_all_alphanumeric[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-2]_length[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-2]_starts_with_lower_case[1]_orth[-1]
has_upper_case[0]_dict_person_first_nam[-1]_pattern[-1]_class[0]
has_upper_case[0]_dict_person_first_nam[-1]_pattern[1]_parenthesis[0]
has_upper_case[0]_starts_with_lower_case[1]_case[0]_orth[2]
has_upper_case[0]_starts_with_lower_case[1]_case[0]_pattern[1]_agr1[1]_gender[0]
has_upper_case[-1]_has_upper_case[0]_nospace[-2]_pattern[0]
has_upper_case[-1]_starts_with_lower_case[1]_all_letters[1]_orth[0]_starts_with_lower_case[-2]
has_upper_case[-1]_starts_with_lower_case[1]_orth[0]_nospace[-1]
has_upper_case[-1]_starts_with_lower_case[1]_parenthesis[-2]_class[-2]_orth[-1]
has_upper_case[-2]_has_upper_case[0]_orth[-1]_nospace[-2]
has_upper_case[-2]_starts_with_upper_case[0]_orth[-1]
starts_with_lower_case[-1]_has_upper_case[0]_case[-1]_case[2]
starts_with_lower_case[-1]_has_upper_case[0]_pattern[-1]_ctag[-1]_pattern[0]
starts_with_lower_case[1]_starts_with_lower_case[-1]_all_letters[-1]_parenthesis[-2]_pattern[1]_length[0]
starts_with_lower_case[-1]_starts_with_upper_case[0]_class[-1]_agr1[0]_gender[-1]
starts_with_lower_case[1]_starts_with_upper_case[-1]_class[-2]_no_letters[0]_length[0]
starts_with_lower_case[1]_starts_with_upper_case[-1]_parenthesis[-2]_agr1[-2]_ctag[-2]
starts_with_lower_case[1]_starts_with_upper_case[-1]_parenthesis[-2]_case[-1]_ctag[0]
starts_with_lower_case[1]_starts_with_upper_case[-2]_agr1[-2]_ctag[-2]_struct[-2]
starts_with_lower_case[1]_starts_with_upper_case[-2]_agr1[-2]_quotation[-1]
starts_with_lower_case[1]_starts_with_upper_case[-2]_pattern[0]_length[-1]
starts_with_lower_case[1]_starts_with_upper_case[-2]_starts_with_upper_case[0]_length[-1]_ctag[-1]
starts_with_upper_case[0]_agr1[-1]_gender[0]_number[0]
starts_with_upper_case[0]_agr1[-1]_orth[-1]_class[-2]
starts_with_upper_case[0]_class[0]_gender[0]_prefix-1[0]_all_alphanumeric[1]
starts_with_upper_case[0]_class[0]_starts_with_lower_case[1]_struct[2]_agr1[1]
starts_with_upper_case[0]_ctag[0]_parenthesis[0]_class[1]
starts_with_upper_case[0]_dict_person_first_nam[-1]_class[0]_parenthesis[2]_ctag[0]
starts_with_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[2]_has_digit[-2]_gender[1]
starts_with_upper_case[0]_starts_with_lower_case[1]_case[0]_suffix-2[1]
starts_with_upper_case[0]_starts_with_lower_case[1]_pattern[1]_length[2]_nospace[1]_case[0]_ctag[2]
starts_with_upper_case[-1]_starts_with_lower_case[1]_all_digits[-2]_has_upper_case[1]_orth[0]
starts_with_upper_case[-1]_starts_with_lower_case[1]_starts_with_upper_case[0]_nospace[2]_gender[-1]
starts_with_upper_case[-1]_starts_with_upper_case[0]_all_upper[-2]_agr1[1]_has_lower_case[2]
starts_with_upper_case[-1]_starts_with_upper_case[0]_all_upper[-2]_nospace[0]
starts_with_upper_case[-1]_starts_with_upper_case[0]_pattern[2]_suffix-1[-1]

CRF++: Yet Another CRF Tool Kit
Copyright (C) 2005-2012 Taku Kudo, All rights reserved.

reading training data: 100.. 200.. 300.. 400.. 500.. 600.. 700.. 800.. 900.. 1000.. 1100.. 1200.. 1300.. 1400.. 1500.. 1600.. 1700.. 1800.. 1900.. 2000.. 2100.. 2200.. 2300.. 2400.. 2500.. 2600.. 2700.. 2800.. 2900.. 3000.. 3100.. 3200.. 3300.. 3400.. 3500.. 3600.. 3700.. 3800.. 3900.. 4000.. 4100.. 4200.. 4300.. 4400.. 4500.. 4600.. 4700.. 4800.. 4900.. 5000.. 5100.. 5200.. 5300.. 5400.. 5500.. 5600.. 5700.. 5800.. 5900.. 6000.. 6100.. 6200.. 6300.. 6400.. 6500.. 6600.. 6700.. 6800.. 6900.. 7000.. 7100.. 7200.. 7300.. 7400.. 7500.. 7600.. 7700.. 7800.. 7900.. 8000.. 8100.. 8200.. 8300.. 8400.. 8500.. 8600.. 8700.. 8800.. 8900.. 9000.. 9100.. 9200.. 9300.. 9400.. 9500.. 9600.. 9700.. 
Done!38.09 s

Number of sentences: 9780
Number of features:  940776
Number of thread(s): 7
Freq:                5
eta:                 0.00010
C:                   1.00000
shrinking size:      20
iter=0 terr=0.94720 serr=0.99765 act=940776 obj=174165.20335 diff=1.00000
iter=1 terr=0.09224 serr=0.44550 act=940776 obj=210355.17892 diff=0.20779
iter=2 terr=0.09224 serr=0.44550 act=940776 obj=74333.67997 diff=0.64663
iter=3 terr=0.09224 serr=0.44550 act=940776 obj=67023.51104 diff=0.09834
iter=4 terr=0.86736 serr=0.96943 act=940776 obj=208133.63720 diff=2.10538
iter=5 terr=0.09224 serr=0.44550 act=940776 obj=55294.71144 diff=0.73433
iter=6 terr=0.09224 serr=0.44550 act=940776 obj=54384.25379 diff=0.01647
iter=7 terr=0.09224 serr=0.44550 act=940776 obj=51878.82514 diff=0.04607
iter=8 terr=0.09224 serr=0.44550 act=940776 obj=49230.63836 diff=0.05105
iter=9 terr=0.08364 serr=0.42331 act=940776 obj=40328.24665 diff=0.18083
iter=10 terr=0.05577 serr=0.37025 act=940776 obj=31978.34134 diff=0.20705
iter=11 terr=0.04209 serr=0.31503 act=940776 obj=26280.32837 diff=0.17818
iter=12 terr=0.03894 serr=0.27434 act=940776 obj=22602.82363 diff=0.13993
iter=13 terr=0.03786 serr=0.27055 act=940776 obj=21690.52859 diff=0.04036
iter=14 terr=0.03757 serr=0.26667 act=940776 obj=20835.90393 diff=0.03940
iter=15 terr=0.03722 serr=0.26217 act=940776 obj=20104.01387 diff=0.03513
iter=16 terr=0.03684 serr=0.25276 act=940776 obj=19401.09816 diff=0.03496
iter=17 terr=0.03645 serr=0.25000 act=940776 obj=18703.21565 diff=0.03597
iter=18 terr=0.03592 serr=0.24652 act=940776 obj=18258.38836 diff=0.02378
iter=19 terr=0.03510 serr=0.24182 act=940776 obj=17728.95411 diff=0.02900
iter=20 terr=0.03450 serr=0.23712 act=940776 obj=17205.81012 diff=0.02951
iter=21 terr=0.03471 serr=0.23722 act=940776 obj=16869.55567 diff=0.01954
iter=22 terr=0.03405 serr=0.22863 act=940776 obj=16232.15230 diff=0.03778
iter=23 terr=0.03355 serr=0.22556 act=940776 obj=15691.66669 diff=0.03330
iter=24 terr=0.03238 serr=0.22229 act=940776 obj=14893.73037 diff=0.05085
iter=25 terr=0.04595 serr=0.28988 act=940776 obj=17904.01755 diff=0.20212
iter=26 terr=0.03322 serr=0.23190 act=940776 obj=14458.93543 diff=0.19242
iter=27 terr=0.03139 serr=0.22853 act=940776 obj=13768.51636 diff=0.04775
iter=28 terr=0.03083 serr=0.22372 act=940776 obj=13371.15011 diff=0.02886
iter=29 terr=0.03080 serr=0.22434 act=940776 obj=13219.08324 diff=0.01137
iter=30 terr=0.03049 serr=0.22280 act=940776 obj=12850.78232 diff=0.02786
iter=31 terr=0.03024 serr=0.22055 act=940776 obj=11930.54506 diff=0.07161
iter=32 terr=0.02930 serr=0.20828 act=940776 obj=10798.32051 diff=0.09490
iter=33 terr=0.04429 serr=0.24806 act=940776 obj=12998.75444 diff=0.20378
iter=34 terr=0.02926 serr=0.20399 act=940776 obj=10535.06100 diff=0.18953
iter=35 terr=0.02834 serr=0.20286 act=940776 obj=9995.25710 diff=0.05124
iter=36 terr=0.02736 serr=0.20082 act=940776 obj=9774.42194 diff=0.02209
iter=37 terr=0.02607 serr=0.19335 act=940776 obj=9561.18949 diff=0.02182
iter=38 terr=0.02499 serr=0.18701 act=940776 obj=9177.23143 diff=0.04016
iter=39 terr=0.02464 serr=0.18845 act=940776 obj=8913.18042 diff=0.02877
iter=40 terr=0.02399 serr=0.18497 act=940776 obj=8810.25040 diff=0.01155
iter=41 terr=0.02378 serr=0.18344 act=940776 obj=8726.91057 diff=0.00946
iter=42 terr=0.02379 serr=0.18108 act=940776 obj=8550.88312 diff=0.02017
iter=43 terr=0.02352 serr=0.17761 act=940776 obj=8404.47588 diff=0.01712
iter=44 terr=0.02284 serr=0.17055 act=940776 obj=8054.19008 diff=0.04168
iter=45 terr=0.02675 serr=0.18292 act=940776 obj=8159.85223 diff=0.01312
iter=46 terr=0.02372 serr=0.17117 act=940776 obj=7845.91553 diff=0.03847
iter=47 terr=0.02206 serr=0.16800 act=940776 obj=7627.82014 diff=0.02780
iter=48 terr=0.02199 serr=0.16544 act=940776 obj=7501.11335 diff=0.01661
iter=49 terr=0.02110 serr=0.15910 act=940776 obj=7305.62805 diff=0.02606
iter=50 terr=0.02068 serr=0.15603 act=940776 obj=7118.39789 diff=0.02563
iter=51 terr=0.02020 serr=0.14949 act=940776 obj=6859.10151 diff=0.03643
iter=52 terr=0.01957 serr=0.14315 act=940776 obj=6627.77762 diff=0.03373
iter=53 terr=0.01885 serr=0.14039 act=940776 obj=6510.54268 diff=0.01769
iter=54 terr=0.01856 serr=0.14029 act=940776 obj=6374.19690 diff=0.02094
iter=55 terr=0.01822 serr=0.13926 act=940776 obj=6278.98010 diff=0.01494
iter=56 terr=0.01802 serr=0.13937 act=940776 obj=6214.95231 diff=0.01020
iter=57 terr=0.01761 serr=0.14090 act=940776 obj=6181.59171 diff=0.00537
iter=58 terr=0.01687 serr=0.13497 act=940776 obj=6017.67657 diff=0.02652
iter=59 terr=0.01685 serr=0.13364 act=940776 obj=5964.10550 diff=0.00890
iter=60 terr=0.01798 serr=0.13466 act=940776 obj=6005.45360 diff=0.00693
iter=61 terr=0.01679 serr=0.13364 act=940776 obj=5924.65405 diff=0.01345
iter=62 terr=0.01680 serr=0.13333 act=940776 obj=5876.26020 diff=0.00817
iter=63 terr=0.01673 serr=0.13252 act=940776 obj=5824.50228 diff=0.00881
iter=64 terr=0.01700 serr=0.13323 act=940776 obj=5730.27386 diff=0.01618
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iter=279 terr=0.00018 serr=0.00245 act=940776 obj=855.44078 diff=0.00141
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iter=282 terr=0.00018 serr=0.00235 act=940776 obj=851.35845 diff=0.00070
iter=283 terr=0.00015 serr=0.00194 act=940776 obj=851.73746 diff=0.00045
iter=284 terr=0.00016 serr=0.00215 act=940776 obj=850.89026 diff=0.00099
iter=285 terr=0.00016 serr=0.00204 act=940776 obj=850.16428 diff=0.00085
iter=286 terr=0.00015 serr=0.00194 act=940776 obj=848.89042 diff=0.00150
iter=287 terr=0.00015 serr=0.00194 act=940776 obj=848.31363 diff=0.00068
iter=288 terr=0.00015 serr=0.00204 act=940776 obj=847.00047 diff=0.00155
iter=289 terr=0.00015 serr=0.00194 act=940776 obj=844.96101 diff=0.00241
iter=290 terr=0.00015 serr=0.00204 act=940776 obj=842.90025 diff=0.00244
iter=291 terr=0.00015 serr=0.00174 act=940776 obj=842.45769 diff=0.00053
iter=292 terr=0.00015 serr=0.00174 act=940776 obj=840.74629 diff=0.00203
iter=293 terr=0.00014 serr=0.00164 act=940776 obj=840.29554 diff=0.00054
iter=294 terr=0.00013 serr=0.00164 act=940776 obj=839.26928 diff=0.00122
iter=295 terr=0.00013 serr=0.00164 act=940776 obj=837.47476 diff=0.00214
iter=296 terr=0.00013 serr=0.00164 act=940776 obj=834.54851 diff=0.00349
iter=297 terr=0.00014 serr=0.00164 act=940776 obj=836.08433 diff=0.00184
iter=298 terr=0.00013 serr=0.00164 act=940776 obj=833.02322 diff=0.00366
iter=299 terr=0.00011 serr=0.00143 act=940776 obj=830.88915 diff=0.00256
iter=300 terr=0.00011 serr=0.00143 act=940776 obj=830.05031 diff=0.00101
iter=301 terr=0.00012 serr=0.00153 act=940776 obj=829.14152 diff=0.00109
iter=302 terr=0.00011 serr=0.00143 act=940776 obj=828.44314 diff=0.00084
iter=303 terr=0.00010 serr=0.00133 act=940776 obj=826.99019 diff=0.00175
iter=304 terr=0.00010 serr=0.00133 act=940776 obj=824.85859 diff=0.00258
iter=305 terr=0.00009 serr=0.00123 act=940776 obj=824.50225 diff=0.00043
iter=306 terr=0.00010 serr=0.00133 act=940776 obj=822.39727 diff=0.00255
iter=307 terr=0.00010 serr=0.00133 act=940776 obj=821.86148 diff=0.00065
iter=308 terr=0.00010 serr=0.00133 act=940776 obj=820.83921 diff=0.00124
iter=309 terr=0.00009 serr=0.00123 act=940776 obj=820.10015 diff=0.00090
iter=310 terr=0.00009 serr=0.00112 act=940776 obj=818.17345 diff=0.00235
iter=311 terr=0.00009 serr=0.00112 act=940776 obj=817.34854 diff=0.00101
iter=312 terr=0.00008 serr=0.00102 act=940776 obj=816.50048 diff=0.00104
iter=313 terr=0.00009 serr=0.00112 act=940776 obj=817.34404 diff=0.00103
iter=314 terr=0.00008 serr=0.00102 act=940776 obj=815.76544 diff=0.00193
iter=315 terr=0.00010 serr=0.00133 act=940776 obj=814.39536 diff=0.00168
iter=316 terr=0.00009 serr=0.00123 act=940776 obj=812.10649 diff=0.00281
iter=317 terr=0.00009 serr=0.00123 act=940776 obj=811.47512 diff=0.00078
iter=318 terr=0.00009 serr=0.00112 act=940776 obj=810.92082 diff=0.00068
iter=319 terr=0.00009 serr=0.00112 act=940776 obj=809.72283 diff=0.00148
iter=320 terr=0.00008 serr=0.00092 act=940776 obj=808.45920 diff=0.00156
iter=321 terr=0.00011 serr=0.00102 act=940776 obj=811.08367 diff=0.00325
iter=322 terr=0.00008 serr=0.00092 act=940776 obj=808.02610 diff=0.00377
iter=323 terr=0.00007 serr=0.00082 act=940776 obj=807.10236 diff=0.00114
iter=324 terr=0.00007 serr=0.00082 act=940776 obj=806.56645 diff=0.00066
iter=325 terr=0.00007 serr=0.00082 act=940776 obj=805.53889 diff=0.00127
iter=326 terr=0.00007 serr=0.00082 act=940776 obj=804.87810 diff=0.00082
iter=327 terr=0.00008 serr=0.00092 act=940776 obj=804.12468 diff=0.00094
iter=328 terr=0.00007 serr=0.00082 act=940776 obj=803.69852 diff=0.00053
iter=329 terr=0.00008 serr=0.00082 act=940776 obj=803.02767 diff=0.00083
iter=330 terr=0.00007 serr=0.00082 act=940776 obj=802.37527 diff=0.00081
iter=331 terr=0.00007 serr=0.00082 act=940776 obj=801.89805 diff=0.00059
iter=332 terr=0.00006 serr=0.00072 act=940776 obj=800.39692 diff=0.00187
iter=333 terr=0.00006 serr=0.00072 act=940776 obj=799.96681 diff=0.00054
iter=334 terr=0.00006 serr=0.00072 act=940776 obj=799.19481 diff=0.00097
iter=335 terr=0.00006 serr=0.00072 act=940776 obj=800.74944 diff=0.00195
iter=336 terr=0.00006 serr=0.00072 act=940776 obj=798.72036 diff=0.00253
iter=337 terr=0.00006 serr=0.00072 act=940776 obj=797.94933 diff=0.00097
iter=338 terr=0.00006 serr=0.00072 act=940776 obj=797.25404 diff=0.00087
iter=339 terr=0.00006 serr=0.00072 act=940776 obj=796.86499 diff=0.00049
iter=340 terr=0.00006 serr=0.00072 act=940776 obj=796.35418 diff=0.00064
iter=341 terr=0.00006 serr=0.00072 act=940776 obj=795.39583 diff=0.00120
iter=342 terr=0.00006 serr=0.00072 act=940776 obj=794.70262 diff=0.00087
iter=343 terr=0.00007 serr=0.00082 act=940776 obj=793.79962 diff=0.00114
iter=344 terr=0.00006 serr=0.00072 act=940776 obj=793.42993 diff=0.00047
iter=345 terr=0.00006 serr=0.00072 act=940776 obj=792.97084 diff=0.00058
iter=346 terr=0.00006 serr=0.00061 act=940776 obj=792.67708 diff=0.00037
iter=347 terr=0.00006 serr=0.00061 act=940776 obj=792.43698 diff=0.00030
iter=348 terr=0.00006 serr=0.00061 act=940776 obj=792.25186 diff=0.00023
iter=349 terr=0.00006 serr=0.00061 act=940776 obj=791.77852 diff=0.00060
iter=350 terr=0.00006 serr=0.00061 act=940776 obj=791.09079 diff=0.00087
iter=351 terr=0.00006 serr=0.00061 act=940776 obj=790.60328 diff=0.00062
iter=352 terr=0.00006 serr=0.00061 act=940776 obj=789.99729 diff=0.00077
iter=353 terr=0.00006 serr=0.00061 act=940776 obj=790.26825 diff=0.00034
iter=354 terr=0.00006 serr=0.00061 act=940776 obj=789.40960 diff=0.00109
iter=355 terr=0.00006 serr=0.00061 act=940776 obj=788.46718 diff=0.00119
iter=356 terr=0.00006 serr=0.00061 act=940776 obj=787.93146 diff=0.00068
iter=357 terr=0.00006 serr=0.00061 act=940776 obj=787.06779 diff=0.00110
iter=358 terr=0.00008 serr=0.00072 act=940776 obj=798.76984 diff=0.01487
iter=359 terr=0.00006 serr=0.00061 act=940776 obj=786.89135 diff=0.01487
iter=360 terr=0.00006 serr=0.00061 act=940776 obj=786.43371 diff=0.00058
iter=361 terr=0.00006 serr=0.00072 act=940776 obj=785.98512 diff=0.00057
iter=362 terr=0.00006 serr=0.00072 act=940776 obj=785.51623 diff=0.00060
iter=363 terr=0.00006 serr=0.00072 act=940776 obj=784.93161 diff=0.00074
iter=364 terr=0.00006 serr=0.00072 act=940776 obj=784.11475 diff=0.00104
iter=365 terr=0.00006 serr=0.00061 act=940776 obj=782.44367 diff=0.00213
iter=366 terr=0.00006 serr=0.00061 act=940776 obj=788.36961 diff=0.00757
iter=367 terr=0.00006 serr=0.00061 act=940776 obj=782.20645 diff=0.00782
iter=368 terr=0.00006 serr=0.00061 act=940776 obj=781.81955 diff=0.00049
iter=369 terr=0.00006 serr=0.00061 act=940776 obj=781.64010 diff=0.00023
iter=370 terr=0.00006 serr=0.00061 act=940776 obj=781.13198 diff=0.00065
iter=371 terr=0.00006 serr=0.00061 act=940776 obj=781.50948 diff=0.00048
iter=372 terr=0.00006 serr=0.00061 act=940776 obj=780.89142 diff=0.00079
iter=373 terr=0.00006 serr=0.00061 act=940776 obj=780.41844 diff=0.00061
iter=374 terr=0.00006 serr=0.00061 act=940776 obj=780.13881 diff=0.00036
iter=375 terr=0.00006 serr=0.00061 act=940776 obj=780.03291 diff=0.00014
iter=376 terr=0.00006 serr=0.00061 act=940776 obj=779.86442 diff=0.00022
iter=377 terr=0.00006 serr=0.00061 act=940776 obj=779.79153 diff=0.00009
iter=378 terr=0.00006 serr=0.00061 act=940776 obj=779.59495 diff=0.00025
iter=379 terr=0.00006 serr=0.00061 act=940776 obj=779.23608 diff=0.00046
iter=380 terr=0.00006 serr=0.00061 act=940776 obj=779.36217 diff=0.00016
iter=381 terr=0.00006 serr=0.00061 act=940776 obj=778.94330 diff=0.00054
iter=382 terr=0.00006 serr=0.00061 act=940776 obj=778.54623 diff=0.00051
iter=383 terr=0.00006 serr=0.00072 act=940776 obj=778.26784 diff=0.00036
iter=384 terr=0.00006 serr=0.00072 act=940776 obj=778.22705 diff=0.00005
iter=385 terr=0.00006 serr=0.00072 act=940776 obj=778.07202 diff=0.00020
iter=386 terr=0.00006 serr=0.00072 act=940776 obj=778.02867 diff=0.00006
iter=387 terr=0.00006 serr=0.00072 act=940776 obj=777.82416 diff=0.00026
iter=388 terr=0.00006 serr=0.00072 act=940776 obj=777.64854 diff=0.00023
iter=389 terr=0.00006 serr=0.00061 act=940776 obj=777.45756 diff=0.00025
iter=390 terr=0.00006 serr=0.00061 act=940776 obj=777.08428 diff=0.00048
iter=391 terr=0.00006 serr=0.00072 act=940776 obj=776.51293 diff=0.00074
iter=392 terr=0.00006 serr=0.00072 act=940776 obj=776.08022 diff=0.00056
iter=393 terr=0.00006 serr=0.00072 act=940776 obj=786.18352 diff=0.01302
iter=394 terr=0.00006 serr=0.00072 act=940776 obj=776.02793 diff=0.01292
iter=395 terr=0.00006 serr=0.00072 act=940776 obj=775.85207 diff=0.00023
iter=396 terr=0.00006 serr=0.00072 act=940776 obj=775.67812 diff=0.00022
iter=397 terr=0.00006 serr=0.00072 act=940776 obj=775.33563 diff=0.00044
iter=398 terr=0.00006 serr=0.00072 act=940776 obj=775.03759 diff=0.00038
iter=399 terr=0.00006 serr=0.00061 act=940776 obj=774.20515 diff=0.00107
iter=400 terr=0.00006 serr=0.00072 act=940776 obj=775.30670 diff=0.00142
iter=401 terr=0.00006 serr=0.00061 act=940776 obj=773.80976 diff=0.00193
iter=402 terr=0.00006 serr=0.00061 act=940776 obj=773.53698 diff=0.00035
iter=403 terr=0.00006 serr=0.00061 act=940776 obj=773.24075 diff=0.00038
iter=404 terr=0.00006 serr=0.00061 act=940776 obj=773.10109 diff=0.00018
iter=405 terr=0.00006 serr=0.00061 act=940776 obj=772.88466 diff=0.00028
iter=406 terr=0.00006 serr=0.00061 act=940776 obj=772.37078 diff=0.00066
iter=407 terr=0.00006 serr=0.00061 act=940776 obj=773.07421 diff=0.00091
iter=408 terr=0.00006 serr=0.00061 act=940776 obj=772.27519 diff=0.00103
iter=409 terr=0.00006 serr=0.00061 act=940776 obj=772.12230 diff=0.00020
iter=410 terr=0.00006 serr=0.00072 act=940776 obj=772.36170 diff=0.00031
iter=411 terr=0.00006 serr=0.00061 act=940776 obj=772.05313 diff=0.00040
iter=412 terr=0.00006 serr=0.00061 act=940776 obj=771.91445 diff=0.00018
iter=413 terr=0.00006 serr=0.00061 act=940776 obj=771.56206 diff=0.00046
iter=414 terr=0.00006 serr=0.00061 act=940776 obj=771.33469 diff=0.00029
iter=415 terr=0.00006 serr=0.00061 act=940776 obj=770.90250 diff=0.00056
iter=416 terr=0.00006 serr=0.00061 act=940776 obj=772.23443 diff=0.00173
iter=417 terr=0.00006 serr=0.00061 act=940776 obj=770.72372 diff=0.00196
iter=418 terr=0.00006 serr=0.00061 act=940776 obj=770.44563 diff=0.00036
iter=419 terr=0.00006 serr=0.00061 act=940776 obj=770.56293 diff=0.00015
iter=420 terr=0.00006 serr=0.00061 act=940776 obj=770.32557 diff=0.00031
iter=421 terr=0.00006 serr=0.00061 act=940776 obj=770.09987 diff=0.00029
iter=422 terr=0.00006 serr=0.00061 act=940776 obj=770.02225 diff=0.00010
iter=423 terr=0.00006 serr=0.00061 act=940776 obj=769.87816 diff=0.00019
iter=424 terr=0.00006 serr=0.00061 act=940776 obj=769.67812 diff=0.00026
iter=425 terr=0.00006 serr=0.00061 act=940776 obj=769.49629 diff=0.00024
iter=426 terr=0.00006 serr=0.00061 act=940776 obj=769.39892 diff=0.00013
iter=427 terr=0.00006 serr=0.00061 act=940776 obj=769.28606 diff=0.00015
iter=428 terr=0.00006 serr=0.00061 act=940776 obj=769.21584 diff=0.00009
iter=429 terr=0.00006 serr=0.00061 act=940776 obj=769.10323 diff=0.00015
iter=430 terr=0.00006 serr=0.00061 act=940776 obj=768.82781 diff=0.00036
iter=431 terr=0.00006 serr=0.00061 act=940776 obj=768.59649 diff=0.00030
iter=432 terr=0.00006 serr=0.00061 act=940776 obj=768.46494 diff=0.00017
iter=433 terr=0.00006 serr=0.00061 act=940776 obj=768.36510 diff=0.00013
iter=434 terr=0.00006 serr=0.00061 act=940776 obj=768.24946 diff=0.00015
iter=435 terr=0.00006 serr=0.00061 act=940776 obj=768.04437 diff=0.00027
iter=436 terr=0.00006 serr=0.00061 act=940776 obj=767.82042 diff=0.00029
iter=437 terr=0.00006 serr=0.00061 act=940776 obj=767.70885 diff=0.00015
iter=438 terr=0.00006 serr=0.00061 act=940776 obj=767.48400 diff=0.00029
iter=439 terr=0.00006 serr=0.00061 act=940776 obj=767.36454 diff=0.00016
iter=440 terr=0.00006 serr=0.00061 act=940776 obj=767.38299 diff=0.00002
iter=441 terr=0.00006 serr=0.00061 act=940776 obj=767.32887 diff=0.00007
iter=442 terr=0.00006 serr=0.00061 act=940776 obj=767.27451 diff=0.00007

Done!775.82 s

-> Setting up chunker: chunker_cp
--> Chunk propagation
2017-06-14 20:10:09,606 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100508.xml
(ChunkerEvaluator) Sentence #1 from 00100508 from sent1

Text  : Peppange
Tokens: 1_______

Chunks:
  TruePositive nam [1,1] = Peppange (confidence=0.75)

(ChunkerEvaluator) Sentence #2 from 00100508 from sent2

Text  : Peppange ( luks . Peppeng ) - małe miasteczko w_ południowo Luksemburgu ,_ w_ gminie Roeser ._
Tokens: 1_______ 2 3___ 4 5______ 6 7 8___ 9_________ 10 11________ 12_________ 13 14 15____ 16____ 17

Chunks:
  TruePositive nam [5,5] = Peppeng (confidence=0.99)
  TruePositive nam [12,12] = Luksemburgu (confidence=1.00)
  TruePositive nam [16,16] = Roeser (confidence=1.00)
  FalseNegative nam [1,1] = Peppange

(ChunkerEvaluator) Sentence #3 from 00100508 from sent3

Text  : W 2005 roku miasteczko zamieszkiwało 570 osób .
Tokens: 1 2___ 3___ 4_________ 5____________ 6__ 7___ 8

Chunks:

2017-06-14 20:10:09,619 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 2 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100518.xml
(ChunkerEvaluator) Sentence #4 from 00100518 from sent1

Text  : Tyzenhauzowie
Tokens: 1____________

Chunks:
  FalseNegative nam [1,1] = Tyzenhauzowie

(ChunkerEvaluator) Sentence #5 from 00100518 from sent2

Text  : Polska rodzina szlachecka z Inflant herbu Bawół .
Tokens: 1_____ 2______ 3_________ 4 5______ 6____ 7____ 8

Chunks:
  TruePositive nam [5,5] = Inflant (confidence=0.99)
  TruePositive nam [7,7] = Bawół (confidence=0.85)

(ChunkerEvaluator) Sentence #6 from 00100518 from sent3

Text  : Ciekawostki
Tokens: 1__________

Chunks:

(ChunkerEvaluator) Sentence #7 from 00100518 from sent4

Text  : Tyzenhauz to też , nazwisko dworzanina królewskiego występującego w dramacie „_ Mazepa ._ Tragedia w_ pięciu aktach "_ ._
Tokens: 1________ 2_ 3__ 4 5_______ 6_________ 7___________ 8____________ 9 10______ 11 12____ 13 14______ 15 16____ 17____ 18 19

Chunks:
  TruePositive nam [1,1] = Tyzenhauz (confidence=0.60)
  FalsePositive nam [12,14] = Mazepa . Tragedia (confidence=1.00) (incorrect boundry)
  FalseNegative nam [12,17] = Mazepa . Tragedia w pięciu aktach

(ChunkerEvaluator) Sentence #8 from 00100518 from sent5

Text  : Dramat napisany przez Juliusza Słowackiego , w drugiej połowie roku 1839 ,_ który został wydany w_ 1840 w_ Paryżu ._
Tokens: 1_____ 2_______ 3____ 4_______ 5__________ 6 7 8______ 9______ 10__ 11__ 12 13___ 14____ 15____ 16 17__ 18 19____ 20

Chunks:
  TruePositive nam [4,5] = Juliusza Słowackiego (confidence=1.00)
  TruePositive nam [19,19] = Paryżu (confidence=0.99)

(ChunkerEvaluator) Sentence #9 from 00100518 from sent6

Text  : Szlachta w Inflantach polskich pochodzi przeważnie z rodów niemieckiego rycerstwa Mieczowców zwanych też Kawalerami Mieczowymi jak Borch ,_ Plater ,_ Hilzen ,_ Zyberg ,_ Weissenhof ,_ Tyzenhaus ,_ Grotus ,_ Mohl ,_ Denhof ,_ Rejtan ,_ Manteuffel ,_ a_ inni jak Szadurscy ,_ Karniccy ,_ Benisławscy ,_ Sokołowscy ,_ Kubliccy ,_ Wereszczyńscy należała do tych rodzin polskich ,_ które za zasługi dla kraju otrzymały tu nadania ,_ albo też z_ Litwy tu osiadły ._
Tokens: 1_______ 2 3_________ 4_______ 5_______ 6_________ 7 8____ 9___________ 10_______ 11________ 12_____ 13_ 14________ 15________ 16_ 17___ 18 19____ 20 21____ 22 23____ 24 25________ 26 27_______ 28 29____ 30 31__ 32 33____ 34 35____ 36 37________ 38 39 40__ 41_ 42_______ 43 44______ 45 46_________ 47 48________ 49 50______ 51 52___________ 53______ 54 55__ 56____ 57______ 58 59___ 60 61_____ 62_ 63___ 64_______ 65 66_____ 67 68__ 69_ 70 71___ 72 73_____ 74

Chunks:
  TruePositive nam [11,11] = Mieczowców (confidence=0.93)
  TruePositive nam [17,17] = Borch (confidence=1.00)
  TruePositive nam [19,19] = Plater (confidence=1.00)
  TruePositive nam [21,21] = Hilzen (confidence=1.00)
  TruePositive nam [23,23] = Zyberg (confidence=1.00)
  TruePositive nam [25,25] = Weissenhof (confidence=1.00)
  TruePositive nam [27,27] = Tyzenhaus (confidence=1.00)
  TruePositive nam [29,29] = Grotus (confidence=1.00)
  TruePositive nam [31,31] = Mohl (confidence=1.00)
  TruePositive nam [33,33] = Denhof (confidence=1.00)
  TruePositive nam [35,35] = Rejtan (confidence=1.00)
  TruePositive nam [37,37] = Manteuffel (confidence=1.00)
  TruePositive nam [42,42] = Szadurscy (confidence=1.00)
  TruePositive nam [44,44] = Karniccy (confidence=0.83)
  TruePositive nam [46,46] = Benisławscy (confidence=1.00)
  TruePositive nam [48,48] = Sokołowscy (confidence=1.00)
  TruePositive nam [50,50] = Kubliccy (confidence=1.00)
  TruePositive nam [52,52] = Wereszczyńscy (confidence=0.78)
  TruePositive nam [71,71] = Litwy (confidence=1.00)
  FalsePositive nam [3,4] = Inflantach polskich (confidence=1.00) (incorrect boundry)
  FalsePositive nam [15,15] = Mieczowymi (confidence=0.75) (incorrect boundry)
  FalseNegative nam [3,3] = Inflantach
  FalseNegative nam [14,15] = Kawalerami Mieczowymi

(ChunkerEvaluator) Sentence #10 from 00100518 from sent7

Text  : " W Słucku sławna była fabryka złotogłowu i pasów litych na całą Polskę ;_ udoskonalona staraniem Tyzenhauza ._ "_
Tokens: 1 2 3_____ 4_____ 5___ 6______ 7_________ 8 9____ 10____ 11 12__ 13____ 14 15__________ 16_______ 17________ 18 19

Chunks:
  TruePositive nam [3,3] = Słucku (confidence=0.93)
  TruePositive nam [13,13] = Polskę (confidence=0.94)
  TruePositive nam [17,17] = Tyzenhauza (confidence=0.98)

(ChunkerEvaluator) Sentence #11 from 00100518 from sent8

Text  : ( z komentarzy Adama Mickiewicza do " Pana Tadeusza "_ )_
Tokens: 1 2 3_________ 4____ 5__________ 6_ 7 8___ 9_______ 10 11

Chunks:
  TruePositive nam [4,5] = Adama Mickiewicza (confidence=1.00)
  TruePositive nam [8,9] = Pana Tadeusza (confidence=0.99)

(ChunkerEvaluator) Sentence #12 from 00100518 from sent9

Text  : Znane postacie historyczne
Tokens: 1____ 2_______ 3__________

Chunks:

(ChunkerEvaluator) Sentence #13 from 00100518 from sent10

Text  : Kasper Tyzenhaus - rotmistrz w wojskach Rzeczpospolitej i obrońca Tartu (_ Dorpatu )_ podczas wojny ze Szwecją w_ 1600 roku ._
Tokens: 1_____ 2________ 3 4________ 5 6_______ 7______________ 8 9______ 10___ 11 12_____ 13 14_____ 15___ 16 17_____ 18 19__ 20__ 21

Chunks:
  TruePositive nam [1,2] = Kasper Tyzenhaus (confidence=1.00)
  TruePositive nam [7,7] = Rzeczpospolitej (confidence=0.97)
  TruePositive nam [10,10] = Tartu (confidence=1.00)
  TruePositive nam [12,12] = Dorpatu (confidence=1.00)
  TruePositive nam [17,17] = Szwecją (confidence=0.99)

(ChunkerEvaluator) Sentence #14 from 00100518 from sent11

Text  : Antoni Tyzenhauz ( ur . 1733 , zm . 31 marca 1785 )_ ,_ podskarbi nadworny litewski i_ starosta grodzieński od 1765 ._
Tokens: 1_____ 2________ 3 4_ 5 6___ 7 8_ 9 10 11___ 12__ 13 14 15_______ 16______ 17______ 18 19______ 20_________ 21 22__ 23

Chunks:
  TruePositive nam [1,2] = Antoni Tyzenhauz (confidence=1.00)

2017-06-14 20:10:09,679 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 3 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100535.xml
(ChunkerEvaluator) Sentence #15 from 00100535 from sent1

Text  : Karen Mulder
Tokens: 1____ 2_____

Chunks:
  TruePositive nam [1,2] = Karen Mulder (confidence=0.99)

(ChunkerEvaluator) Sentence #16 from 00100535 from sent2

Text  : Karen Mulder ( ur . 1 czerwca 1968 w Vlaardingen w_ Holandii )_ -_ dawna holenderska modelka ._
Tokens: 1____ 2_____ 3 4_ 5 6 7______ 8___ 9 10_________ 11 12______ 13 14 15___ 16_________ 17_____ 18

Chunks:
  TruePositive nam [1,2] = Karen Mulder (confidence=1.00)
  TruePositive nam [10,10] = Vlaardingen (confidence=1.00)
  TruePositive nam [12,12] = Holandii (confidence=1.00)

(ChunkerEvaluator) Sentence #17 from 00100535 from sent3

Text  : W latach 1998 - 1999 była jedną z " Victoria's Secret Angels "_ ,_ czyli promotorek Victoria's Secret ._
Tokens: 1 2_____ 3___ 4 5___ 6___ 7____ 8 9 10________ 11____ 12____ 13 14 15___ 16________ 17________ 18____ 19

Chunks:
  TruePositive nam [10,12] = Victoria's Secret Angels (confidence=1.00)
  TruePositive nam [17,18] = Victoria's Secret (confidence=1.00)

2017-06-14 20:10:09,690 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100543.xml
(ChunkerEvaluator) Sentence #18 from 00100543 from sent1

Text  : Lori Glazier
Tokens: 1___ 2______

Chunks:
  TruePositive nam [1,2] = Lori Glazier (confidence=1.00)

(ChunkerEvaluator) Sentence #19 from 00100543 from sent2

Text  : Lori Glazier ( ur . 19 września 1971 r ._ )_ –_ kanadyjska snowboardzistka ._
Tokens: 1___ 2______ 3 4_ 5 6_ 7_______ 8___ 9 10 11 12 13________ 14_____________ 15

Chunks:
  TruePositive nam [1,2] = Lori Glazier (confidence=1.00)

(ChunkerEvaluator) Sentence #20 from 00100543 from sent3

Text  : Jej najlepszym wynikiem olimpijskim jest 18 miejsce w halfpipe'ie na igrzyskach w_ Nagano ._
Tokens: 1__ 2_________ 3_______ 4__________ 5___ 6_ 7______ 8 9__________ 10 11________ 12 13____ 14

Chunks:
  TruePositive nam [13,13] = Nagano (confidence=0.88)

(ChunkerEvaluator) Sentence #21 from 00100543 from sent4

Text  : Na mistrzostwach świata najlepszy wynik uzyskała na mistrzostwach w Madonna di Campiglio gdzie zajęła 6_ miejsce w_ halfpipe'ie ._
Tokens: 1_ 2____________ 3_____ 4________ 5____ 6_______ 7_ 8____________ 9 10_____ 11 12_______ 13___ 14____ 15 16_____ 17 18_________ 19

Chunks:
  TruePositive nam [10,12] = Madonna di Campiglio (confidence=1.00)

(ChunkerEvaluator) Sentence #22 from 00100543 from sent5

Text  : Najlepsze wyniki w Pucharze Świata osiągnęła w sezonie 1995 /_ 1996 kiedy to zajęła 3_ miejsce w_ klasyfikacji halfpipe'a ._
Tokens: 1________ 2_____ 3 4_______ 5_____ 6________ 7 8______ 9___ 10 11__ 12___ 13 14____ 15 16_____ 17 18__________ 19________ 20

Chunks:
  TruePositive nam [4,5] = Pucharze Świata (confidence=1.00)

(ChunkerEvaluator) Sentence #23 from 00100543 from sent6

Text  : Sukcesy
Tokens: 1______

Chunks:

(ChunkerEvaluator) Sentence #24 from 00100543 from sent7

Text  : Puchar Świata
Tokens: 1_____ 2_____

Chunks:
  TruePositive nam [1,2] = Puchar Świata (confidence=0.97)

(ChunkerEvaluator) Sentence #25 from 00100543 from sent8

Text  : Miejsca w klasyfikacji generalnej
Tokens: 1______ 2 3___________ 4_________

Chunks:

(ChunkerEvaluator) Sentence #26 from 00100543 from sent9

Text  : 1994 / 1995 - -
Tokens: 1___ 2 3___ 4 5

Chunks:

(ChunkerEvaluator) Sentence #27 from 00100543 from sent10

Text  : 1995 / 1996 - 80 .
Tokens: 1___ 2 3___ 4 5_ 6

Chunks:

(ChunkerEvaluator) Sentence #28 from 00100543 from sent11

Text  : 1996 / 1997 - 75 .
Tokens: 1___ 2 3___ 4 5_ 6

Chunks:

(ChunkerEvaluator) Sentence #29 from 00100543 from sent12

Text  : 1997 / 1998 - 56 .
Tokens: 1___ 2 3___ 4 5_ 6

Chunks:

(ChunkerEvaluator) Sentence #30 from 00100543 from sent13

Text  : 1998 / 1999 - 68 .
Tokens: 1___ 2 3___ 4 5_ 6

Chunks:

(ChunkerEvaluator) Sentence #31 from 00100543 from sent14

Text  : 1999 / 2000 - 76 .
Tokens: 1___ 2 3___ 4 5_ 6

Chunks:

(ChunkerEvaluator) Sentence #32 from 00100543 from sent15

Text  : 2000 / 2001 - -
Tokens: 1___ 2 3___ 4 5

Chunks:

(ChunkerEvaluator) Sentence #33 from 00100543 from sent16

Text  : 2001 / 2002 - -
Tokens: 1___ 2 3___ 4 5

Chunks:

(ChunkerEvaluator) Sentence #34 from 00100543 from sent17

Text  : 2002 / 2003 - -
Tokens: 1___ 2 3___ 4 5

Chunks:

(ChunkerEvaluator) Sentence #35 from 00100543 from sent18

Text  : 2003 / 2004 - -
Tokens: 1___ 2 3___ 4 5

Chunks:

(ChunkerEvaluator) Sentence #36 from 00100543 from sent19

Text  : Miejsca na podium
Tokens: 1______ 2_ 3_____

Chunks:

(ChunkerEvaluator) Sentence #37 from 00100543 from sent20

Text  : Calgary – 25 lutego 1996 ( Halfpipe ) - 2_ miejsce
Tokens: 1______ 2 3_ 4_____ 5___ 6 7_______ 8 9 10 11_____

Chunks:
  TruePositive nam [1,1] = Calgary (confidence=0.92)
  FalsePositive nam [7,7] = Halfpipe (confidence=0.96) (incorrect boundry)

(ChunkerEvaluator) Sentence #38 from 00100543 from sent21

Text  : Sun Peaks – 3 marca 1996 ( Halfpipe ) -_ 1_ miejsce
Tokens: 1__ 2____ 3 4 5____ 6___ 7 8_______ 9 10 11 12_____

Chunks:
  TruePositive nam [1,2] = Sun Peaks (confidence=0.99)
  FalsePositive nam [8,8] = Halfpipe (confidence=0.96) (incorrect boundry)

(ChunkerEvaluator) Sentence #39 from 00100543 from sent22

Text  : Boreal Ridge – 9 marca 1996 ( Halfpipe ) -_ 2_ miejsce
Tokens: 1_____ 2____ 3 4 5____ 6___ 7 8_______ 9 10 11 12_____

Chunks:
  TruePositive nam [1,2] = Boreal Ridge (confidence=1.00)
  FalsePositive nam [8,8] = Halfpipe (confidence=0.96) (incorrect boundry)

(ChunkerEvaluator) Sentence #40 from 00100543 from sent23

Text  : Mount Bachelor – 17 marca 1996 ( Halfpipe ) -_ 3_ miejsce
Tokens: 1____ 2_______ 3 4_ 5____ 6___ 7 8_______ 9 10 11 12_____

Chunks:
  FalsePositive nam [2,2] = Bachelor (confidence=0.71) (incorrect boundry)
  FalsePositive nam [8,8] = Halfpipe (confidence=0.96) (incorrect boundry)
  FalseNegative nam [1,2] = Mount Bachelor

(ChunkerEvaluator) Sentence #41 from 00100543 from sent24

Text  : Mont - Sainte - Anne – 31 stycznia 1999 (_ Halfpipe )_ -_ 3_ miejsce
Tokens: 1___ 2 3_____ 4 5___ 6 7_ 8_______ 9___ 10 11______ 12 13 14 15_____

Chunks:
  TruePositive nam [1,5] = Mont - Sainte - Anne (confidence=0.81)
  FalsePositive nam [11,11] = Halfpipe (confidence=0.96) (incorrect boundry)

(ChunkerEvaluator) Sentence #42 from 00100543 from sent25

Text  : Whistler – 17 grudnia 2002 ( Halfpipe ) - 2_ miejsce
Tokens: 1_______ 2 3_ 4______ 5___ 6 7_______ 8 9 10 11_____

Chunks:
  FalsePositive nam [7,7] = Halfpipe (confidence=0.95) (incorrect boundry)
  FalseNegative nam [1,1] = Whistler

2017-06-14 20:10:09,744 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101189.xml
(ChunkerEvaluator) Sentence #43 from 00101189 from sent1

Text  : Morten Skoubo
Tokens: 1_____ 2_____

Chunks:
  TruePositive nam [1,2] = Morten Skoubo (confidence=1.00)

(ChunkerEvaluator) Sentence #44 from 00101189 from sent2

Text  : Morten Skoubo ( ur . 30 czerwca 1980 w Holstebro )_ –_ piłkarz duński grający na pozycji napastnika ._
Tokens: 1_____ 2_____ 3 4_ 5 6_ 7______ 8___ 9 10_______ 11 12 13_____ 14____ 15_____ 16 17_____ 18________ 19

Chunks:
  TruePositive nam [1,2] = Morten Skoubo (confidence=1.00)
  TruePositive nam [10,10] = Holstebro (confidence=1.00)

(ChunkerEvaluator) Sentence #45 from 00101189 from sent3

Text  : Mierzy 192 cm wzrostu , waży 83 kg .
Tokens: 1_____ 2__ 3_ 4______ 5 6___ 7_ 8_ 9

Chunks:

(ChunkerEvaluator) Sentence #46 from 00101189 from sent4

Text  : Kariera klubowa
Tokens: 1______ 2______

Chunks:

(ChunkerEvaluator) Sentence #47 from 00101189 from sent5

Text  : Skoubo wychował się w klubie Struer Boldklub , a trenował również w_ juniorach Lemvig i_ Holstebro Boldklub ._
Tokens: 1_____ 2_______ 3__ 4 5_____ 6_____ 7_______ 8 9 10______ 11_____ 12 13_______ 14____ 15 16_______ 17______ 18

Chunks:
  TruePositive nam [1,1] = Skoubo (confidence=0.71)
  TruePositive nam [6,7] = Struer Boldklub (confidence=1.00)
  TruePositive nam [14,14] = Lemvig (confidence=1.00)
  TruePositive nam [16,17] = Holstebro Boldklub (confidence=1.00)

(ChunkerEvaluator) Sentence #48 from 00101189 from sent6

Text  : Następnie został zawodnikiem Ikast fS , który z czasem zmienił nazwę na FC Midjtylland ._
Tokens: 1________ 2_____ 3__________ 4____ 5_ 6 7____ 8 9_____ 10_____ 11___ 12 13 14_________ 15

Chunks:
  TruePositive nam [4,5] = Ikast fS (confidence=0.89)
  TruePositive nam [13,14] = FC Midjtylland (confidence=1.00)

(ChunkerEvaluator) Sentence #49 from 00101189 from sent7

Text  : W sezonie 1998 / 1999 zadebiutował w seniorach tego klubu ,_ a_ w_ 2000 roku awansował z_ nim do pierwszej ligi duńskiej ._
Tokens: 1 2______ 3___ 4 5___ 6___________ 7 8________ 9___ 10___ 11 12 13 14__ 15__ 16_______ 17 18_ 19 20_______ 21__ 22______ 23

Chunks:

(ChunkerEvaluator) Sentence #50 from 00101189 from sent8

Text  : W niej po raz pierwszy wystąpił 23 lipca 2000 roku w_ wygranym 4_ :_ 0_ domowym meczu z_ Lyngby BK ._
Tokens: 1 2___ 3_ 4__ 5_______ 6_______ 7_ 8____ 9___ 10__ 11 12______ 13 14 15 16_____ 17___ 18 19____ 20 21

Chunks:
  TruePositive nam [19,20] = Lyngby BK (confidence=1.00)

(ChunkerEvaluator) Sentence #51 from 00101189 from sent9

Text  : W sezonie 2001 / 2002 zdobył 19 goli w pierwszej lidze i_ należał do czołówki strzelców rozgrywek ._
Tokens: 1 2______ 3___ 4 5___ 6_____ 7_ 8___ 9 10_______ 11___ 12 13_____ 14 15______ 16_______ 17_______ 18

Chunks:

(ChunkerEvaluator) Sentence #52 from 00101189 from sent10

Text  : W 2002 roku zajął z Midtjylland 3 . miejsce w_ Superligaen ._
Tokens: 1 2___ 3___ 4____ 5 6__________ 7 8 9______ 10 11_________ 12

Chunks:
  TruePositive nam [6,6] = Midtjylland (confidence=0.80)
  TruePositive nam [11,11] = Superligaen (confidence=0.99)

(ChunkerEvaluator) Sentence #53 from 00101189 from sent11

Text  : Latem 2002 roku Skoubo odszedł do niemieckiej Borussii Mönchengladbach ,_ a_ 24 sierpnia rozegrał swoje pierwsze spotkanie w_ Bundeslidze ,_ wygrane 3_ :_ 0_ z_ 1_ ._ FC Kaiserslautern ._
Tokens: 1____ 2___ 3___ 4_____ 5______ 6_ 7__________ 8_______ 9______________ 10 11 12 13______ 14______ 15___ 16______ 17_______ 18 19_________ 20 21_____ 22 23 24 25 26 27 28 29____________ 30

Chunks:
  TruePositive nam [4,4] = Skoubo (confidence=1.00)
  TruePositive nam [8,9] = Borussii Mönchengladbach (confidence=0.99)
  TruePositive nam [19,19] = Bundeslidze (confidence=0.94)
  TruePositive nam [28,29] = FC Kaiserslautern (confidence=0.95)

(ChunkerEvaluator) Sentence #54 from 00101189 from sent12

Text  : W Borussii zdobył dwa gole i grał w niej także w_ rundzie jesiennej sezonu 2003 /_ 2004 ._
Tokens: 1 2_______ 3_____ 4__ 5___ 6 7___ 8 9___ 10___ 11 12_____ 13_______ 14____ 15__ 16 17__ 18

Chunks:
  TruePositive nam [2,2] = Borussii (confidence=1.00)

(ChunkerEvaluator) Sentence #55 from 00101189 from sent13

Text  : Wiosną został wypożyczony do West Bromwich Albion , grającego w_ angielskiej Division One ,_ jednak rozegrał tam zaledwie dwa spotkania ._
Tokens: 1_____ 2_____ 3__________ 4_ 5___ 6_______ 7_____ 8 9________ 10 11_________ 12______ 13_ 14 15____ 16______ 17_ 18______ 19_ 20_______ 21

Chunks:
  TruePositive nam [5,7] = West Bromwich Albion (confidence=1.00)
  TruePositive nam [12,13] = Division One (confidence=0.91)

(ChunkerEvaluator) Sentence #56 from 00101189 from sent14

Text  : W letnim oknie transferowym 2004 Morten wrócił do Danii i_ został piłkarzem stołecznego Brøndby IF ._
Tokens: 1 2_____ 3____ 4___________ 5___ 6_____ 7_____ 8_ 9____ 10 11____ 12_______ 13_________ 14_____ 15 16

Chunks:
  TruePositive nam [6,6] = Morten (confidence=0.99)
  TruePositive nam [9,9] = Danii (confidence=1.00)
  TruePositive nam [14,15] = Brøndby IF (confidence=1.00)

(ChunkerEvaluator) Sentence #57 from 00101189 from sent15

Text  : 15 sierpnia wystąpił w koszulce Brøndby po raz pierwszy ,_ a_ drużyna ta pokonała 2_ :_ 1_ FC Midtjylland ._
Tokens: 1_ 2_______ 3_______ 4 5_______ 6______ 7_ 8__ 9_______ 10 11 12_____ 13 14______ 15 16 17 18 19_________ 20

Chunks:
  TruePositive nam [6,6] = Brøndby (confidence=1.00)
  TruePositive nam [18,19] = FC Midtjylland (confidence=0.89)

(ChunkerEvaluator) Sentence #58 from 00101189 from sent16

Text  : Stworzył wówczas atak ze Szwedem Johanem Elmanderem i swoimi 11 zdobytymi golami przyczynił się do wywalczenia mistrzostwa Danii ._
Tokens: 1_______ 2______ 3___ 4_ 5______ 6______ 7_________ 8 9_____ 10 11_______ 12____ 13________ 14_ 15 16_________ 17_________ 18___ 19

Chunks:
  TruePositive nam [18,18] = Danii (confidence=1.00)
  FalsePositive nam [5,7] = Szwedem Johanem Elmanderem (confidence=1.00) (incorrect boundry)
  FalseNegative nam [5,5] = Szwedem
  FalseNegative nam [6,7] = Johanem Elmanderem

(ChunkerEvaluator) Sentence #59 from 00101189 from sent17

Text  : Brøndby zdobyło także Puchar Danii .
Tokens: 1______ 2______ 3____ 4_____ 5____ 6

Chunks:
  TruePositive nam [4,5] = Puchar Danii (confidence=1.00)
  FalseNegative nam [1,1] = Brøndby

(ChunkerEvaluator) Sentence #60 from 00101189 from sent18

Text  : Jesienią 2005 strzelił 8 goli w barwach Brøndby .
Tokens: 1_______ 2___ 3_______ 4 5___ 6 7______ 8______ 9

Chunks:
  TruePositive nam [8,8] = Brøndby (confidence=0.98)

(ChunkerEvaluator) Sentence #61 from 00101189 from sent19

Text  : Na początku 2006 roku Skoubo został zawodnikiem Realu Sociedad ._
Tokens: 1_ 2_______ 3___ 4___ 5_____ 6_____ 7__________ 8____ 9_______ 10

Chunks:
  TruePositive nam [5,5] = Skoubo (confidence=1.00)
  TruePositive nam [8,9] = Realu Sociedad (confidence=1.00)

(ChunkerEvaluator) Sentence #62 from 00101189 from sent20

Text  : Swój debiut w Primera Division zaliczył 15 stycznia w przegranym 0_ :_ 1_ domowym meczu z_ Espanyolem Barcelona ._
Tokens: 1___ 2_____ 3 4______ 5_______ 6_______ 7_ 8_______ 9 10________ 11 12 13 14_____ 15___ 16 17________ 18_______ 19

Chunks:
  TruePositive nam [4,5] = Primera Division (confidence=0.99)
  TruePositive nam [17,18] = Espanyolem Barcelona (confidence=1.00)

(ChunkerEvaluator) Sentence #63 from 00101189 from sent21

Text  : Do końca sezonu strzelił 5 goli , jednak już w_ następnym zaliczył zaledwie 5_ spotkań ,_ a_ Real spadł do Segunda Division ._
Tokens: 1_ 2____ 3_____ 4_______ 5 6___ 7 8_____ 9__ 10 11_______ 12______ 13______ 14 15_____ 16 17 18__ 19___ 20 21_____ 22______ 23

Chunks:
  TruePositive nam [18,18] = Real (confidence=0.98)
  TruePositive nam [21,22] = Segunda Division (confidence=0.97)

(ChunkerEvaluator) Sentence #64 from 00101189 from sent22

Text  : W drugiej lidze Hiszpanii Duńczyk rozegrał 7 meczów .
Tokens: 1 2______ 3____ 4________ 5______ 6_______ 7 8_____ 9

Chunks:
  TruePositive nam [4,4] = Hiszpanii (confidence=0.99)
  TruePositive nam [5,5] = Duńczyk (confidence=0.95)

(ChunkerEvaluator) Sentence #65 from 00101189 from sent23

Text  : Latem 2008 Skoubo przeszedł do FC Utrecht , występującego w_ Eredivisie ._
Tokens: 1____ 2___ 3_____ 4________ 5_ 6_ 7______ 8 9____________ 10 11________ 12

Chunks:
  TruePositive nam [6,7] = FC Utrecht (confidence=1.00)
  TruePositive nam [11,11] = Eredivisie (confidence=1.00)
  FalseNegative nam [3,3] = Skoubo

(ChunkerEvaluator) Sentence #66 from 00101189 from sent24

Text  : 19 września zadebiutował w niej w zwycięskim 1 : 0_ meczu z_ Willem II Tilburg ._
Tokens: 1_ 2_______ 3___________ 4 5___ 6 7_________ 8 9 10 11___ 12 13____ 14 15_____ 16

Chunks:
  TruePositive nam [13,15] = Willem II Tilburg (confidence=1.00)

(ChunkerEvaluator) Sentence #67 from 00101189 from sent25

Text  : Kariera reprezentacyjna
Tokens: 1______ 2______________

Chunks:

(ChunkerEvaluator) Sentence #68 from 00101189 from sent26

Text  : Karierę reprezentacyjną Skoubo rozpoczął od występów w reprezentacji Danii U_ -_ 21 ,_ w_ której wystąpił w_ 8_ spotkaniach i_ zdobył 3_ bramki ._
Tokens: 1______ 2______________ 3_____ 4________ 5_ 6_______ 7 8____________ 9____ 10 11 12 13 14 15____ 16______ 17 18 19_________ 20 21____ 22 23____ 24

Chunks:
  TruePositive nam [3,3] = Skoubo (confidence=0.99)
  FalsePositive nam [9,12] = Danii U - 21 (confidence=1.00) (incorrect boundry)
  FalseNegative nam [9,9] = Danii

(ChunkerEvaluator) Sentence #69 from 00101189 from sent27

Text  : W reprezentacji A zadebiutował 11 czerwca 2003 roku w wygranym 2_ :_ 0_ spotkaniu eliminacji do Euro 2004 z_ Luksemburgiem ._
Tokens: 1 2____________ 3 4___________ 5_ 6______ 7___ 8___ 9 10______ 11 12 13 14_______ 15________ 16 17__ 18__ 19 20___________ 21

Chunks:
  TruePositive nam [17,18] = Euro 2004 (confidence=1.00)
  TruePositive nam [20,20] = Luksemburgiem (confidence=0.95)
  FalsePositive nam [3,3] = A (confidence=0.51) (incorrect boundry)

(ChunkerEvaluator) Sentence #70 from 00101189 from sent28

Text  : 1 marca 2006 roku w towarzyskim meczu z Izraelem (_ 2_ :_ 0_ )_ zdobył pierwszego gola w_ kadrze narodowej ._
Tokens: 1 2____ 3___ 4___ 5 6__________ 7____ 8 9_______ 10 11 12 13 14 15____ 16________ 17__ 18 19____ 20_______ 21

Chunks:
  TruePositive nam [9,9] = Izraelem (confidence=1.00)

2017-06-14 20:10:10,109 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101190.xml
(ChunkerEvaluator) Sentence #71 from 00101190 from sent1

Text  : Harri Haatainen
Tokens: 1____ 2________

Chunks:
  TruePositive nam [1,2] = Harri Haatainen (confidence=1.00)

(ChunkerEvaluator) Sentence #72 from 00101190 from sent2

Text  : Harri Haatainen ( ur . 5 stycznia 1978 w Lapua )_ –_ fiński lekkoatleta specjalizujący się w_ rzucie oszczepem ._
Tokens: 1____ 2________ 3 4_ 5 6 7_______ 8___ 9 10___ 11 12 13____ 14_________ 15____________ 16_ 17 18____ 19_______ 20

Chunks:
  TruePositive nam [1,2] = Harri Haatainen (confidence=1.00)
  TruePositive nam [10,10] = Lapua (confidence=1.00)

(ChunkerEvaluator) Sentence #73 from 00101190 from sent3

Text  : W 1995 w węgierskim mieście Nyíregyháza zdobył srebrny medal mistrzostw Europy juniorów ._
Tokens: 1 2___ 3 4_________ 5______ 6__________ 7_____ 8______ 9____ 10________ 11____ 12______ 13

Chunks:
  TruePositive nam [6,6] = Nyíregyháza (confidence=1.00)
  TruePositive nam [11,11] = Europy (confidence=0.81)

(ChunkerEvaluator) Sentence #74 from 00101190 from sent4

Text  : Rok później , w Sydney , został wicemistrzem świata juniorów ._
Tokens: 1__ 2______ 3 4 5_____ 6 7_____ 8___________ 9_____ 10______ 11

Chunks:
  TruePositive nam [5,5] = Sydney (confidence=1.00)

(ChunkerEvaluator) Sentence #75 from 00101190 from sent5

Text  : Srebrny medalista światowych igrzysk wojskowych ( Zagrzeb 1999 ) ._
Tokens: 1______ 2________ 3_________ 4______ 5_________ 6 7______ 8___ 9 10

Chunks:
  FalseNegative nam [7,7] = Zagrzeb

(ChunkerEvaluator) Sentence #76 from 00101190 from sent6

Text  : Bez powodzenia startował w igrzyskach olimpijskich w Sydney .
Tokens: 1__ 2_________ 3________ 4 5_________ 6___________ 7 8_____ 9

Chunks:
  TruePositive nam [8,8] = Sydney (confidence=0.99)
  FalseNegative nam [5,6] = igrzyskach olimpijskich

(ChunkerEvaluator) Sentence #77 from 00101190 from sent7

Text  : Dwukrotny uczestnik mistrzostw świata - Sewilla 1999 ( 11 ._ miejsce w_ finale z_ wynikiem 80 ,_ 92 )_ oraz Edmonton 2001 (_ uzyskał rezultat 81 ,_ 43 i_ nie awansował do finału )_ ._
Tokens: 1________ 2________ 3_________ 4_____ 5 6______ 7___ 8 9_ 10 11_____ 12 13____ 14 15______ 16 17 18 19 20__ 21______ 22__ 23 24_____ 25______ 26 27 28 29 30_ 31_______ 32 33____ 34 35

Chunks:
  TruePositive nam [6,6] = Sewilla (confidence=0.62)
  TruePositive nam [21,21] = Edmonton (confidence=0.99)

(ChunkerEvaluator) Sentence #78 from 00101190 from sent8

Text  : W 2002 zajął dziewiątą lokatę w mistrzostwach Europy .
Tokens: 1 2___ 3____ 4________ 5_____ 6 7____________ 8_____ 9

Chunks:
  TruePositive nam [8,8] = Europy (confidence=0.67)

(ChunkerEvaluator) Sentence #79 from 00101190 from sent9

Text  : Rekord życiowy : 86 , 63 ( 19 sierpnia 2001 ,_ Gateshead )_ ._
Tokens: 1_____ 2______ 3 4_ 5 6_ 7 8_ 9_______ 10__ 11 12_______ 13 14

Chunks:
  TruePositive nam [12,12] = Gateshead (confidence=0.99)
  FalseNegative nam [9,9] = sierpnia

2017-06-14 20:10:10,142 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 7 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101213.xml
(ChunkerEvaluator) Sentence #80 from 00101213 from sent1

Text  : Zakon św . Jerzego z Karyntii
Tokens: 1____ 2_ 3 4______ 5 6_______

Chunks:
  FalsePositive nam [2,6] = św . Jerzego z Karyntii (confidence=0.40) (incorrect boundry)
  FalseNegative nam [1,6] = Zakon św . Jerzego z Karyntii

(ChunkerEvaluator) Sentence #81 from 00101213 from sent2

Text  : Zakon św . Jerzego z Karyntii – zakon założony wspólnie przez cesarza Fryderyka III i_ papieża Pawła II w_ 1469 roku ._
Tokens: 1____ 2_ 3 4______ 5 6_______ 7 8____ 9_______ 10______ 11___ 12_____ 13_______ 14_ 15 16_____ 17___ 18 19 20__ 21__ 22

Chunks:
  TruePositive nam [13,14] = Fryderyka III (confidence=1.00)
  TruePositive nam [17,18] = Pawła II (confidence=0.99)
  FalsePositive nam [4,4] = Jerzego (confidence=0.33) (incorrect boundry)
  FalsePositive nam [6,6] = Karyntii (confidence=0.78) (incorrect boundry)
  FalseNegative nam [1,6] = Zakon św . Jerzego z Karyntii

(ChunkerEvaluator) Sentence #82 from 00101213 from sent3

Text  : Jego zadaniem była obrona cesarstwa i dobroczynność .
Tokens: 1___ 2_______ 3___ 4_____ 5________ 6 7____________ 8

Chunks:

(ChunkerEvaluator) Sentence #83 from 00101213 from sent4

Text  : Swoją główną siedzibę miał w zamku Millstatt niedaleko Villach w_ Austrii ._
Tokens: 1____ 2_____ 3_______ 4___ 5 6____ 7________ 8________ 9______ 10 11_____ 12

Chunks:
  TruePositive nam [7,7] = Millstatt (confidence=1.00)
  TruePositive nam [9,9] = Villach (confidence=1.00)
  TruePositive nam [11,11] = Austrii (confidence=1.00)

(ChunkerEvaluator) Sentence #84 from 00101213 from sent5

Text  : Otrzymał regułę zakonu krzyżackiego .
Tokens: 1_______ 2_____ 3_____ 4___________ 5

Chunks:
  FalseNegative nam [3,4] = zakonu krzyżackiego

(ChunkerEvaluator) Sentence #85 from 00101213 from sent6

Text  : Jego członkowie składali śluby czystości i posłuszeństwa oraz mieszkali wspólnie ,_ ale nie obowiązywał ich ślub ubóstwa ,_ co pozwalało im zachować majątek osobisty ._
Tokens: 1___ 2_________ 3_______ 4____ 5________ 6 7____________ 8___ 9________ 10______ 11 12_ 13_ 14_________ 15_ 16__ 17_____ 18 19 20_______ 21 22______ 23_____ 24______ 25

Chunks:

(ChunkerEvaluator) Sentence #86 from 00101213 from sent7

Text  : Członkowie zakonu brali aktywny udział w odparciu najazdu tureckiego w_ 1529 roku i_ w_ ochronie wschodniej granicy cesarstwa ._
Tokens: 1_________ 2_____ 3____ 4______ 5_____ 6 7_______ 8______ 9_________ 10 11__ 12__ 13 14 15______ 16________ 17_____ 18_______ 19

Chunks:

(ChunkerEvaluator) Sentence #87 from 00101213 from sent8

Text  : Zakon rozwiązano w 1598 roku , a jego posiadłości przekazano jezuitom ._
Tokens: 1____ 2_________ 3 4___ 5___ 6 7 8___ 9__________ 10________ 11______ 12

Chunks:
  FalseNegative nam [11,11] = jezuitom

2017-06-14 20:10:10,175 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 8 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101235.xml
(ChunkerEvaluator) Sentence #88 from 00101235 from sent1

Text  : Kariera klubowa
Tokens: 1______ 2______

Chunks:

(ChunkerEvaluator) Sentence #89 from 00101235 from sent2

Text  : Taiwo pochodzi z byłej stolicy kraju , Lagos .
Tokens: 1____ 2_______ 3 4____ 5______ 6____ 7 8____ 9

Chunks:
  TruePositive nam [1,1] = Taiwo (confidence=0.65)
  TruePositive nam [8,8] = Lagos (confidence=1.00)

(ChunkerEvaluator) Sentence #90 from 00101235 from sent3

Text  : Będąc w wieku juniora zapisał się do Nigerdock Soccer Academy ,_ akademii piłkarskiej znajdującej się w_ jego rodzinnym mieście ._
Tokens: 1____ 2 3____ 4______ 5______ 6__ 7_ 8________ 9_____ 10_____ 11 12______ 13_________ 14_________ 15_ 16 17__ 18_______ 19_____ 20

Chunks:
  TruePositive nam [8,10] = Nigerdock Soccer Academy (confidence=0.93)

(ChunkerEvaluator) Sentence #91 from 00101235 from sent4

Text  : Tam wypatrzył go belgijski trener Maurice Cooreman i w 2003 wziął go do drużyny Gabros International z_ miasta Nnewi ._
Tokens: 1__ 2________ 3_ 4________ 5_____ 6______ 7_______ 8 9 10__ 11___ 12 13 14_____ 15____ 16___________ 17 18____ 19___ 20

Chunks:
  TruePositive nam [6,7] = Maurice Cooreman (confidence=1.00)
  TruePositive nam [15,16] = Gabros International (confidence=1.00)
  TruePositive nam [19,19] = Nnewi (confidence=0.79)

(ChunkerEvaluator) Sentence #92 from 00101235 from sent5

Text  : W barwach tej drużyny zadebiutował w 2004 roku w Premier League i_ w_ pół roku błysnął nieprzeciętnym talentem ._
Tokens: 1 2______ 3__ 4______ 5___________ 6 7___ 8___ 9 10_____ 11____ 12 13 14_ 15__ 16_____ 17____________ 18______ 19

Chunks:
  TruePositive nam [10,11] = Premier League (confidence=1.00)

(ChunkerEvaluator) Sentence #93 from 00101235 from sent6

Text  : W połowie sezonu został sprzedany do Lobi Stars za rekordową sumę około 3_ milionów funtów ._
Tokens: 1 2______ 3_____ 4_____ 5________ 6_ 7___ 8____ 9_ 10_______ 11__ 12___ 13 14______ 15____ 16

Chunks:
  TruePositive nam [7,8] = Lobi Stars (confidence=0.81)
  FalseNegative nam [15,15] = funtów

(ChunkerEvaluator) Sentence #94 from 00101235 from sent7

Text  : W drużynie z Makurdi zagrał na lewej obronie do końca sezonu i_ zajął z_ nią 7_ ._ miejsce w_ lidze i_ zdobył aż 8_ bramek w_ sezonie stając się najskuteczniejszym obrońcą w_ lidze a_ także piłkarzem swojej drużyny ._
Tokens: 1 2_______ 3 4______ 5_____ 6_ 7____ 8______ 9_ 10___ 11____ 12 13___ 14 15_ 16 17 18_____ 19 20___ 21 22____ 23 24 25____ 26 27_____ 28____ 29_ 30________________ 31_____ 32 33___ 34 35___ 36_______ 37____ 38_____ 39

Chunks:
  TruePositive nam [4,4] = Makurdi (confidence=1.00)

(ChunkerEvaluator) Sentence #95 from 00101235 from sent8

Text  : Szybko zwrócono na niego uwagę w Europie i zimą 2005 roku podpisał 3_ -_ letni kontrakt z_ Olympique Marsylia ._
Tokens: 1_____ 2_______ 3_ 4____ 5____ 6 7______ 8 9___ 10__ 11__ 12______ 13 14 15___ 16______ 17 18_______ 19______ 20

Chunks:
  TruePositive nam [7,7] = Europie (confidence=1.00)
  TruePositive nam [18,19] = Olympique Marsylia (confidence=0.98)

(ChunkerEvaluator) Sentence #96 from 00101235 from sent9

Text  : Kwoty transferu nie podano .
Tokens: 1____ 2________ 3__ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #97 from 00101235 from sent10

Text  : Miał zastąpić na lewej obronie Bixente Lizarazu , który odszedł z_ marsylskiego klubu po słabej pierwszej połowie sezonu ._
Tokens: 1___ 2_______ 3_ 4____ 5______ 6______ 7_______ 8 9____ 10_____ 11 12__________ 13___ 14 15____ 16_______ 17_____ 18____ 19

Chunks:
  TruePositive nam [6,7] = Bixente Lizarazu (confidence=1.00)

(ChunkerEvaluator) Sentence #98 from 00101235 from sent11

Text  : W Ligue 1 zadebiutował 12 marca w wygranym 2 :_ 1_ meczu z_ RC Lens ._
Tokens: 1 2____ 3 4___________ 5_ 6____ 7 8_______ 9 10 11 12___ 13 14 15__ 16

Chunks:
  TruePositive nam [14,15] = RC Lens (confidence=1.00)
  FalsePositive nam [2,2] = Ligue (confidence=0.76) (incorrect boundry)
  FalseNegative nam [2,3] = Ligue 1

(ChunkerEvaluator) Sentence #99 from 00101235 from sent12

Text  : Do końca sezonu zagrał jeszcze w 3 meczach , a_ OM zakwalifikowało się do Pucharu Intertoto zajmując 5_ ._ lokatę w_ lidze ._
Tokens: 1_ 2____ 3_____ 4_____ 5______ 6 7 8______ 9 10 11 12_____________ 13_ 14 15_____ 16_______ 17______ 18 19 20____ 21 22___ 23

Chunks:
  TruePositive nam [11,11] = OM (confidence=0.98)
  TruePositive nam [15,16] = Pucharu Intertoto (confidence=0.99)

(ChunkerEvaluator) Sentence #100 from 00101235 from sent13

Text  : W sezonie 2005 / 2006 był już podstawowym zawodnikiem Olympique ._
Tokens: 1 2______ 3___ 4 5___ 6__ 7__ 8__________ 9__________ 10_______ 11

Chunks:
  TruePositive nam [10,10] = Olympique (confidence=0.67)

(ChunkerEvaluator) Sentence #101 from 00101235 from sent14

Text  : Zagrał w 30 meczach i zdobył 1 gola – swojego pierwszego w_ Ligue 1_ ,_ 14 sierpnia 2005 w_ zremisowanym 1_ :_ 1_ meczu z_ Olympique Lyon ._
Tokens: 1_____ 2 3_ 4______ 5 6_____ 7 8___ 9 10_____ 11________ 12 13___ 14 15 16 17______ 18__ 19 20__________ 21 22 23 24___ 25 26_______ 27__ 28

Chunks:
  TruePositive nam [26,27] = Olympique Lyon (confidence=1.00)
  FalsePositive nam [13,13] = Ligue (confidence=0.98) (incorrect boundry)
  FalseNegative nam [13,14] = Ligue 1

(ChunkerEvaluator) Sentence #102 from 00101235 from sent15

Text  : Drużyna z Marsylii zajęła taką samą lokatę jak przed rokiem i_ znów awansowała do Pucharu Intertoto ._
Tokens: 1______ 2 3_______ 4_____ 5___ 6___ 7_____ 8__ 9____ 10____ 11 12__ 13________ 14 15_____ 16_______ 17

Chunks:
  TruePositive nam [3,3] = Marsylii (confidence=1.00)
  TruePositive nam [15,16] = Pucharu Intertoto (confidence=1.00)

(ChunkerEvaluator) Sentence #103 from 00101235 from sent16

Text  : W Pucharze UEFA natomiast doszła do 1 / 8 finału ,_ a_ Taiwo zagrał w_ nim w_ 9_ meczach i_ zdobył 1_ gola –_ w_ wygranym 1_ :_ 0_ meczu z_ SC Heerenveen ._
Tokens: 1 2_______ 3___ 4________ 5_____ 6_ 7 8 9 10____ 11 12 13___ 14____ 15 16_ 17 18 19_____ 20 21____ 22 23__ 24 25 26______ 27 28 29 30___ 31 32 33________ 34

Chunks:
  TruePositive nam [2,3] = Pucharze UEFA (confidence=1.00)
  TruePositive nam [13,13] = Taiwo (confidence=1.00)
  TruePositive nam [32,33] = SC Heerenveen (confidence=0.98)

(ChunkerEvaluator) Sentence #104 from 00101235 from sent17

Text  : Latem 2006 Taiwo interesował się Inter Mediolan , ale sam zawodnik zdecydował się pozostać na kolejny sezon w_ Marsylii ._
Tokens: 1____ 2___ 3____ 4__________ 5__ 6____ 7_______ 8 9__ 10_ 11______ 12________ 13_ 14______ 15 16_____ 17___ 18 19______ 20

Chunks:
  TruePositive nam [6,7] = Inter Mediolan (confidence=1.00)
  TruePositive nam [19,19] = Marsylii (confidence=1.00)
  FalseNegative nam [3,3] = Taiwo

(ChunkerEvaluator) Sentence #105 from 00101235 from sent18

Text  : W 2007 roku został z Marsylią wicemistrzem Francji .
Tokens: 1 2___ 3___ 4_____ 5 6_______ 7___________ 8______ 9

Chunks:
  TruePositive nam [6,6] = Marsylią (confidence=0.98)
  TruePositive nam [8,8] = Francji (confidence=1.00)

(ChunkerEvaluator) Sentence #106 from 00101235 from sent19

Text  : Z kolei w 2008 roku zajął z Olympique 3 ._ miejsce w_ lidze ._
Tokens: 1 2____ 3 4___ 5___ 6____ 7 8________ 9 10 11_____ 12 13___ 14

Chunks:
  FalseNegative nam [8,8] = Olympique

(ChunkerEvaluator) Sentence #107 from 00101235 from sent20

Text  : W 2009 ponownie był wicemistrzem Francji .
Tokens: 1 2___ 3_______ 4__ 5___________ 6______ 7

Chunks:
  TruePositive nam [6,6] = Francji (confidence=1.00)

(ChunkerEvaluator) Sentence #108 from 00101235 from sent21

Text  : Wraz z OM zdobył również Puchar Ligi Francuskiej i mistrzostwo Francji w_ 2010 ._
Tokens: 1___ 2 3_ 4_____ 5______ 6_____ 7___ 8__________ 9 10_________ 11_____ 12 13__ 14

Chunks:
  TruePositive nam [3,3] = OM (confidence=0.99)
  TruePositive nam [6,8] = Puchar Ligi Francuskiej (confidence=1.00)
  TruePositive nam [11,11] = Francji (confidence=0.99)

(ChunkerEvaluator) Sentence #109 from 00101235 from sent22

Text  : Kariera reprezentacyjna
Tokens: 1______ 2______________

Chunks:

(ChunkerEvaluator) Sentence #110 from 00101235 from sent23

Text  : W reprezentacji Nigerii Taye Taiwo zadebiutował 17 listopada 2004 roku w_ przegranym 1_ :_ 2_ towarzyskim meczu z_ RPA ,_ w_ którym po 65 minutach opuścił boisko z_ powodu kontuzji ._
Tokens: 1 2____________ 3______ 4___ 5____ 6___________ 7_ 8________ 9___ 10__ 11 12________ 13 14 15 16_________ 17___ 18 19_ 20 21 22____ 23 24 25______ 26_____ 27____ 28 29____ 30______ 31

Chunks:
  TruePositive nam [19,19] = RPA (confidence=1.00)
  FalsePositive nam [3,5] = Nigerii Taye Taiwo (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,3] = Nigerii
  FalseNegative nam [4,5] = Taye Taiwo

(ChunkerEvaluator) Sentence #111 from 00101235 from sent24

Text  : W 2005 został powołany do kadry na Młodzieżowe Mistrzostwa Świata w_ kategorii U_ -_ 20 ,_ odbywające się w_ Holandii ._
Tokens: 1 2___ 3_____ 4_______ 5_ 6____ 7_ 8__________ 9__________ 10____ 11 12_______ 13 14 15 16 17________ 18_ 19 20______ 21

Chunks:
  TruePositive nam [8,10] = Młodzieżowe Mistrzostwa Świata (confidence=0.99)
  TruePositive nam [20,20] = Holandii (confidence=1.00)

(ChunkerEvaluator) Sentence #112 from 00101235 from sent25

Text  : W meczu 1 / 8 finału zdobył jedynego gola w_ wygranym 1_ :_ 0_ meczu z_ Ukrainą ,_ a_ w_ półfinałowym meczu z_ Marokiem otworzył wynik meczu ,_ a_ Nigeryjczycy ostatecznie wygrali 3_ :_ 0_ ._
Tokens: 1 2____ 3 4 5 6_____ 7_____ 8_______ 9___ 10 11______ 12 13 14 15___ 16 17_____ 18 19 20 21__________ 22___ 23 24______ 25______ 26___ 27___ 28 29 30__________ 31_________ 32_____ 33 34 35 36

Chunks:
  TruePositive nam [17,17] = Ukrainą (confidence=1.00)
  TruePositive nam [24,24] = Marokiem (confidence=1.00)
  TruePositive nam [30,30] = Nigeryjczycy (confidence=0.98)

(ChunkerEvaluator) Sentence #113 from 00101235 from sent26

Text  : Wystąpił także w finałowym meczu z Argentyną przegranym 1 :_ 2_ ._
Tokens: 1_______ 2____ 3 4________ 5____ 6 7________ 8_________ 9 10 11 12

Chunks:
  TruePositive nam [7,7] = Argentyną (confidence=0.99)

(ChunkerEvaluator) Sentence #114 from 00101235 from sent27

Text  : W głosowaniu dziennikarzy na najlepszego piłkarza tego turnieju Taiwo zajął trzecią pozycję za Johnem Obi Mikelem oraz Lionelem Messim ._
Tokens: 1 2_________ 3___________ 4_ 5__________ 6_______ 7___ 8_______ 9____ 10___ 11_____ 12_____ 13 14____ 15_ 16_____ 17__ 18______ 19____ 20

Chunks:
  TruePositive nam [9,9] = Taiwo (confidence=0.98)
  TruePositive nam [14,16] = Johnem Obi Mikelem (confidence=1.00)
  TruePositive nam [18,19] = Lionelem Messim (confidence=0.99)

2017-06-14 20:10:10,298 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 9 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101259.xml
(ChunkerEvaluator) Sentence #115 from 00101259 from sent1

Text  : Zaopusta
Tokens: 1_______

Chunks:
  TruePositive nam [1,1] = Zaopusta (confidence=0.88)

(ChunkerEvaluator) Sentence #116 from 00101259 from sent2

Text  : Zaopusta − osada na terenie Katowic , powstała w XVII wieku obok Podlesia nad brzegiem rzeki Mleczna ._
Tokens: 1_______ 2 3____ 4_ 5______ 6______ 7 8_______ 9 10__ 11___ 12__ 13______ 14_ 15______ 16___ 17_____ 18

Chunks:
  TruePositive nam [6,6] = Katowic (confidence=0.93)
  TruePositive nam [13,13] = Podlesia (confidence=0.63)
  TruePositive nam [17,17] = Mleczna (confidence=1.00)
  FalsePositive nam [10,10] = XVII (confidence=0.59) (incorrect boundry)
  FalseNegative nam [1,1] = Zaopusta

(ChunkerEvaluator) Sentence #117 from 00101259 from sent3

Text  : Założono tam przysiółek i folwark .
Tokens: 1_______ 2__ 3_________ 4 5______ 6

Chunks:

(ChunkerEvaluator) Sentence #118 from 00101259 from sent4

Text  : W 1968 otwarto w pobliżu linię kolejową Pszczyna - Murcki ._
Tokens: 1 2___ 3______ 4 5______ 6____ 7_______ 8_______ 9 10____ 11

Chunks:
  TruePositive nam [8,10] = Pszczyna - Murcki (confidence=1.00)

(ChunkerEvaluator) Sentence #119 from 00101259 from sent5

Text  : Jako że osada zlokalizowana była za urządzeniem spustowym na rzece Mleczna (_ "_ za upustem "_ )_ −_ nazwano ją Zaopusta ._
Tokens: 1___ 2_ 3____ 4____________ 5___ 6_ 7__________ 8________ 9_ 10___ 11_____ 12 13 14 15_____ 16 17 18 19_____ 20 21______ 22

Chunks:
  TruePositive nam [11,11] = Mleczna (confidence=0.95)
  TruePositive nam [21,21] = Zaopusta (confidence=0.75)

(ChunkerEvaluator) Sentence #120 from 00101259 from sent6

Text  : Obecne jej tereny to okolice ulic : Zaopusta , Mleczna ,_ Niezapominajek ,_ Świdra ._
Tokens: 1_____ 2__ 3_____ 4_ 5______ 6___ 7 8_______ 9 10_____ 11 12____________ 13 14____ 15

Chunks:
  TruePositive nam [8,8] = Zaopusta (confidence=0.98)
  TruePositive nam [10,10] = Mleczna (confidence=1.00)
  TruePositive nam [12,12] = Niezapominajek (confidence=1.00)
  TruePositive nam [14,14] = Świdra (confidence=1.00)

(ChunkerEvaluator) Sentence #121 from 00101259 from sent7

Text  : W 1975 roku została przyłączona wraz z Podlesiem i Kostuchną do Katowic ._
Tokens: 1 2___ 3___ 4______ 5__________ 6___ 7 8________ 9 10_______ 11 12_____ 13

Chunks:
  TruePositive nam [8,8] = Podlesiem (confidence=0.96)
  FalsePositive nam [10,12] = Kostuchną do Katowic (confidence=0.81) (incorrect boundry)
  FalseNegative nam [10,10] = Kostuchną
  FalseNegative nam [12,12] = Katowic

(ChunkerEvaluator) Sentence #122 from 00101259 from sent8

Text  : Bibliografia
Tokens: 1___________

Chunks:

2017-06-14 20:10:10,322 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 10 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101262.xml
(ChunkerEvaluator) Sentence #123 from 00101262 from sent1

Text  : Dinner Plain
Tokens: 1_____ 2____

Chunks:
  TruePositive nam [1,2] = Dinner Plain (confidence=0.98)

(ChunkerEvaluator) Sentence #124 from 00101262 from sent2

Text  : Dinner Plain to miejscowość położona w Alpach Australijskich w stanie Wiktoria w_ Australii przy Great Alpine Road ,_ około 10 km od Mount Hotham i_ 375 km od Melbourne ._
Tokens: 1_____ 2____ 3_ 4__________ 5_______ 6 7_____ 8_____________ 9 10____ 11______ 12 13_______ 14__ 15___ 16____ 17__ 18 19___ 20 21 22 23___ 24____ 25 26_ 27 28 29_______ 30

Chunks:
  TruePositive nam [1,2] = Dinner Plain (confidence=0.95)
  TruePositive nam [7,8] = Alpach Australijskich (confidence=1.00)
  TruePositive nam [11,11] = Wiktoria (confidence=1.00)
  TruePositive nam [13,13] = Australii (confidence=1.00)
  TruePositive nam [15,17] = Great Alpine Road (confidence=1.00)
  TruePositive nam [29,29] = Melbourne (confidence=0.98)
  FalseNegative nam [23,24] = Mount Hotham

(ChunkerEvaluator) Sentence #125 from 00101262 from sent3

Text  : W miasteczku mieszka na stałe około 50 osób , znajduje się tam ponad 200 domków wynajmowanych dla turystów i_ narciarzy ._
Tokens: 1 2_________ 3______ 4_ 5____ 6____ 7_ 8___ 9 10______ 11_ 12_ 13___ 14_ 15____ 16___________ 17_ 18______ 19 20_______ 21

Chunks:

2017-06-14 20:10:10,336 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 11 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101331.xml
(ChunkerEvaluator) Sentence #126 from 00101331 from sent1

Text  : 14 listopada 1930 Jeżow został przeniesiony z komisariatu rolnictwa na stanowisko przewodniczącego Wydziału Kadr (_ Raspriedotdiełu )_ ._
Tokens: 1_ 2________ 3___ 4____ 5_____ 6___________ 7 8__________ 9________ 10 11________ 12______________ 13______ 14__ 15 16_____________ 17 18

Chunks:
  TruePositive nam [4,4] = Jeżow (confidence=0.77)
  TruePositive nam [13,14] = Wydziału Kadr (confidence=0.99)
  TruePositive nam [16,16] = Raspriedotdiełu (confidence=0.97)

(ChunkerEvaluator) Sentence #127 from 00101331 from sent2

Text  : Zreorganizował pracę podległego sobie wydziału , twierdząc , że sprawne obsadzanie stanowisk jest podstawa rządzenia krajem ._
Tokens: 1_____________ 2____ 3_________ 4____ 5_______ 6 7________ 8 9_ 10_____ 11________ 12_______ 13__ 14______ 15_______ 16____ 17

Chunks:

(ChunkerEvaluator) Sentence #128 from 00101331 from sent3

Text  : Od wyższych stopniem podwładnych żądał gromadzenia wszystkich możliwych informacji o_ poszczególnych pracownikach ._
Tokens: 1_ 2_______ 3_______ 4__________ 5____ 6__________ 7_________ 8________ 9_________ 10 11____________ 12__________ 13

Chunks:

(ChunkerEvaluator) Sentence #129 from 00101331 from sent4

Text  : Do 1933 brał udział w opracowaniu szczegółowych przepisów regulujących zasady członkostwa w_ partii ,_ a_ następnie uczestniczył w_ masowej weryfikacji aktywności członków organizacji ,_ w_ wyniku której w_ roku 1933 usunięto z_ niej 18 %_ składu ._
Tokens: 1_ 2___ 3___ 4_____ 5 6__________ 7____________ 8________ 9___________ 10____ 11_________ 12 13____ 14 15 16_______ 17__________ 18 19_____ 20_________ 21________ 22______ 23_________ 24 25 26____ 27____ 28 29__ 30__ 31______ 32 33__ 34 35 36____ 37

Chunks:

(ChunkerEvaluator) Sentence #130 from 00101331 from sent5

Text  : Osoby usunięte według oficjalnych zestawień nie miały nic wspólnego z_ opozycją ,_ nie wykazały się jedynie dostatecznym zaangażowaniem w_ działalność partyjną ,_ została im udowodniona korupcja lub przeszłość kryminalna ._
Tokens: 1____ 2_______ 3_____ 4__________ 5________ 6__ 7____ 8__ 9________ 10 11______ 12 13_ 14______ 15_ 16_____ 17__________ 18____________ 19 20_________ 21______ 22 23_____ 24 25_________ 26______ 27_ 28________ 29________ 30

Chunks:

(ChunkerEvaluator) Sentence #131 from 00101331 from sent6

Text  : W 1935 roku został sekretarzem KC oraz przewodniczącym komisji kontroli partyjnej ._
Tokens: 1 2___ 3___ 4_____ 5__________ 6_ 7___ 8______________ 9______ 10______ 11_______ 12

Chunks:
  TruePositive nam [6,6] = KC (confidence=0.98)

(ChunkerEvaluator) Sentence #132 from 00101331 from sent7

Text  : 26 września 1936 roku został mianowany ludowym komisarzem spraw wewnętrznych (_ NKWD )_ ._
Tokens: 1_ 2_______ 3___ 4___ 5_____ 6________ 7______ 8_________ 9____ 10__________ 11 12__ 13 14

Chunks:
  TruePositive nam [12,12] = NKWD (confidence=1.00)

(ChunkerEvaluator) Sentence #133 from 00101331 from sent8

Text  : Urzędowanie w resorcie rozpoczął od krwawej rozprawy z ekipą swojego poprzednika Gienricha Jagody ._
Tokens: 1__________ 2 3_______ 4________ 5_ 6______ 7_______ 8 9____ 10_____ 11_________ 12_______ 13____ 14

Chunks:
  TruePositive nam [12,13] = Gienricha Jagody (confidence=1.00)

(ChunkerEvaluator) Sentence #134 from 00101331 from sent9

Text  : Nakazał podwładnym stosowanie wszystkich metod wydobywania zeznań , łącznie z_ torturami ,_ w_ których sam uczestniczył ._
Tokens: 1______ 2_________ 3_________ 4_________ 5____ 6__________ 7_____ 8 9______ 10 11_______ 12 13 14_____ 15_ 16__________ 17

Chunks:

(ChunkerEvaluator) Sentence #135 from 00101331 from sent10

Text  : Przyniosło mu to - z uwagi na mały wzrost (_ 151 cm )_ -_ przydomek Krwawego Karła ._
Tokens: 1_________ 2_ 3_ 4 5 6____ 7_ 8___ 9_____ 10 11_ 12 13 14 15_______ 16______ 17___ 18

Chunks:
  TruePositive nam [16,17] = Krwawego Karła (confidence=0.54)

(ChunkerEvaluator) Sentence #136 from 00101331 from sent11

Text  : Jeden z głównych wykonawców polityki masowego terroru w ZSRR lat 1936 -_ 1938 ._
Tokens: 1____ 2 3_______ 4_________ 5_______ 6_______ 7______ 8 9___ 10_ 11__ 12 13__ 14

Chunks:
  TruePositive nam [9,9] = ZSRR (confidence=0.99)

(ChunkerEvaluator) Sentence #137 from 00101331 from sent12

Text  : 30 lipca 1937 r . wydał niesławny rozkaz nr 00447 ,_ zarządzając masową likwidację "_ elementów antyradzieckich "_ ._
Tokens: 1_ 2____ 3___ 4 5 6____ 7________ 8_____ 9_ 10___ 11 12_________ 13____ 14________ 15 16_______ 17_____________ 18 19

Chunks:

(ChunkerEvaluator) Sentence #138 from 00101331 from sent13

Text  : Na mocy tego rozkazu od sierpnia 1937 do września 1938 r_ ._ wydano zaocznie ponad 700 tys ._ wyroków śmierci ._
Tokens: 1_ 2___ 3___ 4______ 5_ 6_______ 7___ 8_ 9_______ 10__ 11 12 13____ 14______ 15___ 16_ 17_ 18 19_____ 20_____ 21

Chunks:

(ChunkerEvaluator) Sentence #139 from 00101331 from sent14

Text  : Z polecenia Stalina przygotował i rozpoczął masowe represje , które zyskały potem miano Jeżowszczyzny ._
Tokens: 1 2________ 3______ 4__________ 5 6________ 7_____ 8_______ 9 10___ 11_____ 12___ 13___ 14___________ 15

Chunks:
  TruePositive nam [3,3] = Stalina (confidence=1.00)
  TruePositive nam [14,14] = Jeżowszczyzny (confidence=0.90)

(ChunkerEvaluator) Sentence #140 from 00101331 from sent15

Text  : Objęły one cały korpus oficerski Armii Czerwonej i inne instytucje rządowe ,_ partię bolszewicką i_ miliony innych niewinnych ludzi ._
Tokens: 1_____ 2__ 3___ 4_____ 5________ 6____ 7________ 8 9___ 10________ 11_____ 12 13____ 14_________ 15 16_____ 17____ 18________ 19___ 20

Chunks:
  TruePositive nam [6,7] = Armii Czerwonej (confidence=1.00)

(ChunkerEvaluator) Sentence #141 from 00101331 from sent16

Text  : Miliony osób zostało aresztowanych ( ponad 1 , 5 mln rozstrzelanych )_ ._
Tokens: 1______ 2___ 3______ 4____________ 5 6____ 7 8 9 10_ 11____________ 12 13

Chunks:

(ChunkerEvaluator) Sentence #142 from 00101331 from sent17

Text  : Mówiono , że Jeżow osobiście zastrzelił kilku więźniów .
Tokens: 1______ 2 3_ 4____ 5________ 6_________ 7____ 8_______ 9

Chunks:
  TruePositive nam [4,4] = Jeżow (confidence=1.00)

(ChunkerEvaluator) Sentence #143 from 00101331 from sent18

Text  : Wielka czystka objęła w 1938 roku również wywiad wojskowy GRU ,_ który Jeżow formalnie sobie podporządkował ._
Tokens: 1_____ 2______ 3_____ 4 5___ 6___ 7______ 8_____ 9_______ 10_ 11 12___ 13___ 14_______ 15___ 16____________ 17

Chunks:
  TruePositive nam [10,10] = GRU (confidence=0.99)
  TruePositive nam [13,13] = Jeżow (confidence=0.98)

(ChunkerEvaluator) Sentence #144 from 00101331 from sent19

Text  : Doprowadziła ona do paraliżu aparatu państwowego i partyjnego ; jedyną sprawną strukturą (_ choć zdruzgotaną czystkami )_ pozostała policja polityczna NKWD ._
Tokens: 1___________ 2__ 3_ 4_______ 5______ 6__________ 7 8_________ 9 10____ 11_____ 12_______ 13 14__ 15_________ 16_______ 17 18_______ 19_____ 20________ 21__ 22

Chunks:
  TruePositive nam [21,21] = NKWD (confidence=0.96)

(ChunkerEvaluator) Sentence #145 from 00101331 from sent20

Text  : Kiedy Stalin uznał , że należy ograniczyć terror , Jeżow zaczął z_ wolna tracić wpływy ._
Tokens: 1____ 2_____ 3____ 4 5_ 6_____ 7_________ 8_____ 9 10___ 11____ 12 13___ 14____ 15____ 16

Chunks:
  TruePositive nam [2,2] = Stalin (confidence=1.00)
  TruePositive nam [10,10] = Jeżow (confidence=1.00)

(ChunkerEvaluator) Sentence #146 from 00101331 from sent21

Text  : Co prawda wytypowano go w 1937 roku do Biura Politycznego ,_ ale tylko na zastępcę członka Biura ._
Tokens: 1_ 2_____ 3_________ 4_ 5 6___ 7___ 8_ 9____ 10__________ 11 12_ 13___ 14 15______ 16_____ 17___ 18

Chunks:
  TruePositive nam [9,10] = Biura Politycznego (confidence=1.00)
  FalsePositive nam [17,17] = Biura (confidence=0.95) (incorrect boundry)

(ChunkerEvaluator) Sentence #147 from 00101331 from sent22

Text  : W połowie 1938 roku powierzono mu urząd komisarza transportu wodnego ._
Tokens: 1 2______ 3___ 4___ 5_________ 6_ 7____ 8________ 9_________ 10_____ 11

Chunks:

(ChunkerEvaluator) Sentence #148 from 00101331 from sent23

Text  : Według wspomnień Chruszczowa Jeżow w tym czasie całkowicie się rozpił ._
Tokens: 1_____ 2________ 3__________ 4____ 5 6__ 7_____ 8_________ 9__ 10____ 11

Chunks:
  FalsePositive nam [3,4] = Chruszczowa Jeżow (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,3] = Chruszczowa
  FalseNegative nam [4,4] = Jeżow

(ChunkerEvaluator) Sentence #149 from 00101331 from sent24

Text  : W listopadzie 1938 roku Stalin zdymisjonował go ze stanowiska szefa NKWD (_ które objął Ławrientij Beria )_ i_ niespełna pół roku później nakazał go aresztować ._
Tokens: 1 2__________ 3___ 4___ 5_____ 6____________ 7_ 8_ 9_________ 10___ 11__ 12 13___ 14___ 15________ 16___ 17 18 19_______ 20_ 21__ 22_____ 23_____ 24 25________ 26

Chunks:
  TruePositive nam [5,5] = Stalin (confidence=1.00)
  TruePositive nam [11,11] = NKWD (confidence=0.97)
  TruePositive nam [15,16] = Ławrientij Beria (confidence=1.00)

(ChunkerEvaluator) Sentence #150 from 00101331 from sent25

Text  : W tajnym procesie Jeżowa skazano na śmierć przez rozstrzelanie ,_ a_ wyrok prawdopodobnie wykonano 4_ lutego 1940 ._
Tokens: 1 2_____ 3_______ 4_____ 5______ 6_ 7_____ 8____ 9____________ 10 11 12___ 13____________ 14______ 15 16____ 17__ 18

Chunks:
  TruePositive nam [4,4] = Jeżowa (confidence=1.00)

(ChunkerEvaluator) Sentence #151 from 00101331 from sent26

Text  : Ciekawostka
Tokens: 1__________

Chunks:

(ChunkerEvaluator) Sentence #152 from 00101331 from sent27

Text  : W 1926 roku na Kremlu rozegrał ze Stalinem partię szachów ,_ którą przegrał po 37 ruchach ,_ grając czarnymi ._
Tokens: 1 2___ 3___ 4_ 5_____ 6_______ 7_ 8_______ 9_____ 10_____ 11 12___ 13______ 14 15 16_____ 17 18____ 19______ 20

Chunks:
  TruePositive nam [5,5] = Kremlu (confidence=1.00)
  TruePositive nam [8,8] = Stalinem (confidence=0.79)

2017-06-14 20:10:10,465 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 12 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101396.xml
(ChunkerEvaluator) Sentence #153 from 00101396 from sent1

Text  : Pierre Victor Auger
Tokens: 1_____ 2_____ 3____

Chunks:
  TruePositive nam [1,3] = Pierre Victor Auger (confidence=1.00)

(ChunkerEvaluator) Sentence #154 from 00101396 from sent2

Text  : Pierre Victor Auger ( ur . 14 maja 1899 w_ Paryżu ,_ zm ._ 24 grudnia 1993 w_ Paryżu )_ francuski fizyk ._
Tokens: 1_____ 2_____ 3____ 4 5_ 6 7_ 8___ 9___ 10 11____ 12 13 14 15 16_____ 17__ 18 19____ 20 21_______ 22___ 23

Chunks:
  TruePositive nam [1,3] = Pierre Victor Auger (confidence=1.00)
  TruePositive nam [11,11] = Paryżu (confidence=1.00)
  TruePositive nam [19,19] = Paryżu (confidence=1.00)

(ChunkerEvaluator) Sentence #155 from 00101396 from sent3

Text  : W 1937 został profesorem Sorbony .
Tokens: 1 2___ 3_____ 4_________ 5______ 6

Chunks:
  TruePositive nam [5,5] = Sorbony (confidence=0.75)

(ChunkerEvaluator) Sentence #156 from 00101396 from sent4

Text  : W latach ( 1948 – 1958 ) pełnił funkcję dyrektora Departamentu Nauk Przyrodniczych UNESCO ._
Tokens: 1 2_____ 3 4___ 5 6___ 7 8_____ 9______ 10_______ 11__________ 12__ 13____________ 14____ 15

Chunks:
  FalsePositive nam [11,14] = Departamentu Nauk Przyrodniczych UNESCO (confidence=0.97) (incorrect boundry)
  FalseNegative nam [11,13] = Departamentu Nauk Przyrodniczych
  FalseNegative nam [14,14] = UNESCO

(ChunkerEvaluator) Sentence #157 from 00101396 from sent5

Text  : W latach ( 1941 – 1944 ) mieszkał w USA (_ Chicago i_ Nowy Jork )_ ._
Tokens: 1 2_____ 3 4___ 5 6___ 7 8_______ 9 10_ 11 12_____ 13 14__ 15__ 16 17

Chunks:
  TruePositive nam [10,10] = USA (confidence=1.00)
  TruePositive nam [12,12] = Chicago (confidence=0.65)
  TruePositive nam [14,15] = Nowy Jork (confidence=0.81)

(ChunkerEvaluator) Sentence #158 from 00101396 from sent6

Text  : W latach ( 1945 – 1948 ) był organizatorem szkolnictwa wyższego we Francji ._
Tokens: 1 2_____ 3 4___ 5 6___ 7 8__ 9____________ 10_________ 11______ 12 13_____ 14

Chunks:
  TruePositive nam [13,13] = Francji (confidence=1.00)

(ChunkerEvaluator) Sentence #159 from 00101396 from sent7

Text  : Prowadził badania nad promieniowaniem kosmicznym .
Tokens: 1________ 2______ 3__ 4______________ 5_________ 6

Chunks:

(ChunkerEvaluator) Sentence #160 from 00101396 from sent8

Text  : Jako pierwszy w roku 1938 zbadał i opisał pęki atmosferyczne promieniowania kosmicznego ._
Tokens: 1___ 2_______ 3 4___ 5___ 6_____ 7 8_____ 9___ 10___________ 11____________ 12_________ 13

Chunks:

(ChunkerEvaluator) Sentence #161 from 00101396 from sent9

Text  : Zajmował się również zagadnieniami fizyki anatomicznej .
Tokens: 1_______ 2__ 3______ 4____________ 5_____ 6___________ 7

Chunks:

(ChunkerEvaluator) Sentence #162 from 00101396 from sent10

Text  : Auger był odkrywcą zjawiska samojonizacji ( tzw . efekt Augera )_ (_ 1925 )_ ._
Tokens: 1____ 2__ 3_______ 4_______ 5____________ 6 7__ 8 9____ 10____ 11 12 13__ 14 15

Chunks:
  TruePositive nam [1,1] = Auger (confidence=0.86)
  TruePositive nam [10,10] = Augera (confidence=1.00)

(ChunkerEvaluator) Sentence #163 from 00101396 from sent11

Text  : Ogłosił liczne prace z fizyki neutronów , promieni X oraz promieniowania kosmicznego ._
Tokens: 1______ 2_____ 3____ 4 5_____ 6________ 7 8_______ 9 10__ 11____________ 12_________ 13

Chunks:
  FalseNegative nam [8,9] = promieni X

2017-06-14 20:10:10,499 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 13 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101409.xml
(ChunkerEvaluator) Sentence #164 from 00101409 from sent1

Text  : Ulica Gminna w Zamościu
Tokens: 1____ 2_____ 3 4_______

Chunks:
  TruePositive nam [2,2] = Gminna (confidence=0.71)
  TruePositive nam [4,4] = Zamościu (confidence=1.00)

(ChunkerEvaluator) Sentence #165 from 00101409 from sent2

Text  : Ulica Gminna - jedna z ulic Zamościa , która jest jednojezdniowa na całej długości ._
Tokens: 1____ 2_____ 3 4____ 5 6___ 7_______ 8 9____ 10__ 11____________ 12 13___ 14______ 15

Chunks:
  TruePositive nam [2,2] = Gminna (confidence=0.76)
  TruePositive nam [7,7] = Zamościa (confidence=0.99)

(ChunkerEvaluator) Sentence #166 from 00101409 from sent3

Text  : Historia
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #167 from 00101409 from sent4

Text  : Ulica ta powstała w 2 ćw . XIX wieku i_ łączyła obecną ul ._ Partyzantów z_ drogą wylotową z_ Zamościa do Hrubieszowa (_ obecna ul ._ Hrubieszowska )_ ._
Tokens: 1____ 2_ 3_______ 4 5 6_ 7 8__ 9____ 10 11_____ 12____ 13 14 15_________ 16 17___ 18______ 19 20______ 21 22_________ 23 24____ 25 26 27___________ 28 29

Chunks:
  TruePositive nam [15,15] = Partyzantów (confidence=0.97)
  TruePositive nam [20,20] = Zamościa (confidence=1.00)
  TruePositive nam [22,22] = Hrubieszowa (confidence=0.93)
  TruePositive nam [27,27] = Hrubieszowska (confidence=1.00)

(ChunkerEvaluator) Sentence #168 from 00101409 from sent5

Text  : Jej część północna jest pozostałością XVII - wiecznej drogi (_ dawna ul ._ Kościelna )_ ._
Tokens: 1__ 2____ 3_______ 4___ 5____________ 6___ 7 8_______ 9____ 10 11___ 12 13 14_______ 15 16

Chunks:
  TruePositive nam [14,14] = Kościelna (confidence=0.87)
  FalsePositive nam [6,9] = XVII - wiecznej drogi (confidence=0.54) (incorrect boundry)

(ChunkerEvaluator) Sentence #169 from 00101409 from sent6

Text  : Nazwa
Tokens: 1____

Chunks:

(ChunkerEvaluator) Sentence #170 from 00101409 from sent7

Text  : Ulica ta otrzymała nazwę w 1922 roku i od tego czasu nie była ona zmieniana ._
Tokens: 1____ 2_ 3________ 4____ 5 6___ 7___ 8 9_ 10__ 11___ 12_ 13__ 14_ 15_______ 16

Chunks:

(ChunkerEvaluator) Sentence #171 from 00101409 from sent8

Text  : Obecnie
Tokens: 1______

Chunks:

(ChunkerEvaluator) Sentence #172 from 00101409 from sent9

Text  : Obecnie jest to ulica głównie osiedlowa , ale łącząca także inne ,_ ważne ulice Zamościa ,_ co sprawia ,_ iż ruch jest tu dość spory ,_ zwłaszcza na odcinku od ul ._ Prymasa S_ ._ Wyszyńskiego do ul ._ Partyzantów (_ częściowo jednokierunkowym -_ od ul ._ Hrubieszowskiej na południe )_ ._
Tokens: 1______ 2___ 3_ 4____ 5______ 6________ 7 8__ 9______ 10___ 11__ 12 13___ 14___ 15______ 16 17 18_____ 19 20 21__ 22__ 23 24__ 25___ 26 27_______ 28 29_____ 30 31 32 33_____ 34 35 36__________ 37 38 39 40_________ 41 42_______ 43______________ 44 45 46 47 48_____________ 49 50______ 51 52

Chunks:
  TruePositive nam [15,15] = Zamościa (confidence=1.00)
  TruePositive nam [33,36] = Prymasa S . Wyszyńskiego (confidence=0.85)
  TruePositive nam [40,40] = Partyzantów (confidence=0.98)
  TruePositive nam [48,48] = Hrubieszowskiej (confidence=0.98)

(ChunkerEvaluator) Sentence #173 from 00101409 from sent10

Text  : Ponadto jej bliskie położenie koło Nowego Rynku sprawia , że znajduje się przy niej wiele obiektów usługowych ,_ głównie na wspomnianym odcinku ,_ a_ są to :_ Dworzec PKS i_ położony po drugiej stronie ulicy główny przystanek przewoźników prywatnych ,_ ponadto liczne placówki handlowe ,_ m_ ._ in ._ DH Agora (_ dawny Jubilat )_ ,_ DH Tomasz oraz mniejsze :_ DH Mieszko ,_ DH Resta (_ wybudowany w_ 2006 roku )_ i_ sklepy różnych branż jak odzieżowe (_ Pepco )_ ,_ komputerowe ,_ AGD -_ RTV czy też obiekty gastronomiczne ._
Tokens: 1______ 2__ 3______ 4________ 5___ 6_____ 7____ 8______ 9 10 11______ 12_ 13__ 14__ 15___ 16______ 17________ 18 19_____ 20 21_________ 22_____ 23 24 25 26 27 28_____ 29_ 30 31______ 32 33_____ 34_____ 35___ 36____ 37________ 38__________ 39________ 40 41_____ 42____ 43______ 44______ 45 46 47 48 49 50 51___ 52 53___ 54_____ 55 56 57 58____ 59__ 60______ 61 62 63_____ 64 65 66___ 67 68________ 69 70__ 71__ 72 73 74____ 75_____ 76___ 77_ 78_______ 79 80___ 81 82 83_________ 84 85_ 86 87_ 88_ 89_ 90_____ 91____________ 92

Chunks:
  TruePositive nam [6,7] = Nowego Rynku (confidence=0.98)
  TruePositive nam [28,29] = Dworzec PKS (confidence=1.00)
  TruePositive nam [50,51] = DH Agora (confidence=0.97)
  TruePositive nam [54,54] = Jubilat (confidence=0.90)
  TruePositive nam [57,58] = DH Tomasz (confidence=0.99)
  TruePositive nam [62,63] = DH Mieszko (confidence=1.00)
  TruePositive nam [65,66] = DH Resta (confidence=1.00)
  TruePositive nam [80,80] = Pepco (confidence=0.67)
  FalsePositive nam [85,85] = AGD (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #174 from 00101409 from sent11

Text  : Przy ul . Gminnej znajduje się także dawna synagoga ,_ wzniesiona w_ II poł ._ XIX wieku ,_ w_ czasie II wojny światowej niemal w_ całości spalona ,_ ostatecznie przebudowana na przedszkole ._
Tokens: 1___ 2_ 3 4______ 5_______ 6__ 7____ 8____ 9_______ 10 11________ 12 13 14_ 15 16_ 17___ 18 19 20____ 21 22___ 23_______ 24____ 25 26_____ 27_____ 28 29_________ 30__________ 31 32_________ 33

Chunks:
  TruePositive nam [4,4] = Gminnej (confidence=0.90)
  TruePositive nam [21,23] = II wojny światowej (confidence=1.00)

(ChunkerEvaluator) Sentence #175 from 00101409 from sent12

Text  : Obecnie mieści się w niej także zbór Kościoła Zielonoświątkowego ._
Tokens: 1______ 2_____ 3__ 4 5___ 6____ 7___ 8_______ 9_________________ 10

Chunks:
  FalsePositive nam [8,9] = Kościoła Zielonoświątkowego (confidence=0.99) (incorrect boundry)
  FalseNegative nam [7,9] = zbór Kościoła Zielonoświątkowego

(ChunkerEvaluator) Sentence #176 from 00101409 from sent13

Text  : Zabudowa mieszkalna to głównie domy jednorodzinne ( na południe od ul ._ Partyzantów )_ oraz kilka bloków (_ po wschodniej stronie na północ od tej ulicy )_ ._
Tokens: 1_______ 2_________ 3_ 4______ 5___ 6____________ 7 8_ 9_______ 10 11 12 13_________ 14 15__ 16___ 17____ 18 19 20________ 21_____ 22 23____ 24 25_ 26___ 27 28

Chunks:
  TruePositive nam [13,13] = Partyzantów (confidence=1.00)

2017-06-14 20:10:10,586 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 14 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101421.xml
(ChunkerEvaluator) Sentence #177 from 00101421 from sent1

Text  : Emden Außenhafen
Tokens: 1____ 2_________

Chunks:
  TruePositive nam [1,2] = Emden Außenhafen (confidence=0.99)

(ChunkerEvaluator) Sentence #178 from 00101421 from sent2

Text  : Emden Außenhafen – stacja kolejowa w Emden , w kraju związkowym Dolna Saksonia ,_ w_ Niemczech ._
Tokens: 1____ 2_________ 3 4_____ 5_______ 6 7____ 8 9 10___ 11________ 12___ 13______ 14 15 16_______ 17

Chunks:
  TruePositive nam [1,2] = Emden Außenhafen (confidence=1.00)
  TruePositive nam [7,7] = Emden (confidence=1.00)
  TruePositive nam [12,13] = Dolna Saksonia (confidence=0.99)
  TruePositive nam [16,16] = Niemczech (confidence=1.00)

(ChunkerEvaluator) Sentence #179 from 00101421 from sent3

Text  : Znajduje się tu 1 peron .
Tokens: 1_______ 2__ 3_ 4 5____ 6

Chunks:

2017-06-14 20:10:10,593 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 15 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101482.xml
(ChunkerEvaluator) Sentence #180 from 00101482 from sent1

Text  : R - 33
Tokens: 1 2 3_

Chunks:
  FalseNegative nam [1,3] = R - 33

(ChunkerEvaluator) Sentence #181 from 00101482 from sent2

Text  : R - 33 – radziecki najbardziej zaawansowany technologicznie pocisk rakietowy przeznaczony do zwalczania celów powietrznych na dalekich dystansach ,_ naprowadzany półaktywnym systemem radiolokacyjnym korygowanym bezwładnościowym systemem nawigacyjnym INS ._
Tokens: 1 2 3_ 4 5________ 6__________ 7___________ 8______________ 9_____ 10_______ 11__________ 12 13________ 14___ 15__________ 16 17______ 18________ 19 20__________ 21_________ 22______ 23_____________ 24_________ 25______________ 26______ 27__________ 28_ 29

Chunks:
  TruePositive nam [28,28] = INS (confidence=0.95)
  FalseNegative nam [1,3] = R - 33

(ChunkerEvaluator) Sentence #182 from 00101482 from sent3

Text  : Pocisk zaprojektowano przede wszystkim do przenoszenia przez myśliwiec przechwytujący MiG -_ 31 i_ przeznaczony do walki z_ samolotami bombowymi i_ rozpoznawczymi takimi jak B_ -_ 52 Stratofortress ,_ B_ -_ 1_ Lancer i_ SR -_ 71 Blackbird ._
Tokens: 1_____ 2_____________ 3_____ 4________ 5_ 6___________ 7____ 8________ 9_____________ 10_ 11 12 13 14__________ 15 16___ 17 18________ 19_______ 20 21____________ 22____ 23_ 24 25 26 27____________ 28 29 30 31 32____ 33 34 35 36 37_______ 38

Chunks:
  TruePositive nam [10,12] = MiG - 31 (confidence=0.92)
  TruePositive nam [24,27] = B - 52 Stratofortress (confidence=0.99)
  TruePositive nam [29,32] = B - 1 Lancer (confidence=1.00)
  FalseNegative nam [34,37] = SR - 71 Blackbird

(ChunkerEvaluator) Sentence #183 from 00101482 from sent4

Text  : W nomenklaturze NATO pocisk nosi oznaczenie AA - 9 Amos ._
Tokens: 1 2____________ 3___ 4_____ 5___ 6_________ 7_ 8 9 10__ 11

Chunks:
  TruePositive nam [3,3] = NATO (confidence=0.98)
  TruePositive nam [7,10] = AA - 9 Amos (confidence=0.96)

(ChunkerEvaluator) Sentence #184 from 00101482 from sent5

Text  : Sposób naprowadzania i przeznaczenie pocisku R - 33 było podobne jak amerykańskiego AIM -_ 54 Phoenix ._
Tokens: 1_____ 2____________ 3 4____________ 5______ 6 7 8_ 9___ 10_____ 11_ 12____________ 13_ 14 15 16_____ 17

Chunks:
  TruePositive nam [6,8] = R - 33 (confidence=0.82)
  TruePositive nam [13,16] = AIM - 54 Phoenix (confidence=0.97)

(ChunkerEvaluator) Sentence #185 from 00101482 from sent6

Text  : Historia
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #186 from 00101482 from sent7

Text  : Początki projektu pocisku R - 33 sięgają 1968 roku ,_ kiedy to postanowiono zastąpić dotychczas używany myśliwiec przechwytujący MiG -_ 25 uzbrojony w_ specjalnie dla niego skonstruowany pocisk R_ -_ 40 nowocześniejszą kombinacją samolotu MiG -_ 31 i_ dedykowanego pocisku ._
Tokens: 1_______ 2_______ 3______ 4 5 6_ 7______ 8___ 9___ 10 11___ 12 13__________ 14______ 15________ 16_____ 17_______ 18____________ 19_ 20 21 22_______ 23 24________ 25_ 26___ 27___________ 28____ 29 30 31 32_____________ 33________ 34______ 35_ 36 37 38 39__________ 40_____ 41

Chunks:
  TruePositive nam [4,6] = R - 33 (confidence=0.92)
  TruePositive nam [19,21] = MiG - 25 (confidence=0.95)
  TruePositive nam [29,31] = R - 40 (confidence=0.72)
  TruePositive nam [35,37] = MiG - 31 (confidence=1.00)

(ChunkerEvaluator) Sentence #187 from 00101482 from sent8

Text  : Nowy samolot miał być bardziej uniwersalny niż zaprojektowany wyłącznie do przechwytywania szybkich i_ wysoko latających celów takich jak bombowiec XB -_ 70 Valkyrie ._
Tokens: 1___ 2______ 3___ 4__ 5_______ 6__________ 7__ 8_____________ 9________ 10 11_____________ 12______ 13 14____ 15________ 16___ 17____ 18_ 19_______ 20 21 22 23______ 24

Chunks:
  TruePositive nam [20,23] = XB - 70 Valkyrie (confidence=0.99)

(ChunkerEvaluator) Sentence #188 from 00101482 from sent9

Text  : Wymagano również większej zwrotności nowej maszyny umożliwiającej podjęcie walki powietrznej ._
Tokens: 1_______ 2______ 3_______ 4_________ 5____ 6______ 7_____________ 8_______ 9____ 10_________ 11

Chunks:

(ChunkerEvaluator) Sentence #189 from 00101482 from sent10

Text  : W maju 1968 roku podjęto decyzję o rozpoczęciu w zakładach GosMBK "_ Wympieł "_ (_ ГосМКБ «_ Вымпел »_ )_ prac rozwojowych nad nowym pociskiem rakietowym oznaczonym jako E_ -_ 155MP ._
Tokens: 1 2___ 3___ 4___ 5______ 6______ 7 8__________ 9 10_______ 11____ 12 13_____ 14 15 16____ 17 18____ 19 20 21__ 22_________ 23_ 24___ 25_______ 26________ 27________ 28__ 29 30 31___ 32

Chunks:
  FalsePositive nam [11,13] = GosMBK " Wympieł (confidence=1.00) (incorrect boundry)
  FalsePositive nam [16,18] = ГосМКБ « Вымпел (confidence=0.99) (incorrect boundry)
  FalseNegative nam [11,14] = GosMBK " Wympieł "
  FalseNegative nam [16,19] = ГосМКБ « Вымпел »
  FalseNegative nam [29,31] = E - 155MP

(ChunkerEvaluator) Sentence #190 from 00101482 from sent11

Text  : Projekt został oznaczony zgodnie z przyjętą w zakładzie nomenklaturą ,_ jako K_ -_ 33 ,_ kolejny z_ serii po K_ -_ 13 i_ K_ -_ 23 ._
Tokens: 1______ 2_____ 3________ 4______ 5 6_______ 7 8________ 9___________ 10 11__ 12 13 14 15 16_____ 17 18___ 19 20 21 22 23 24 25 26 27

Chunks:
  TruePositive nam [12,14] = K - 33 (confidence=0.73)
  TruePositive nam [20,22] = K - 13 (confidence=0.97)
  TruePositive nam [24,26] = K - 23 (confidence=0.88)

(ChunkerEvaluator) Sentence #191 from 00101482 from sent12

Text  : Jeszcze w 1968 roku zbudowano dwa prototypy , które zostały skonstruowane w_ układzie "_ kaczki "_ w_ celu zapewnienia możliwości wystrzeliwania z_ tych samych wyrzutni co R_ -_ 40 ._
Tokens: 1______ 2 3___ 4___ 5________ 6__ 7________ 8 9____ 10_____ 11___________ 12 13______ 14 15____ 16 17 18__ 19_________ 20________ 21____________ 22 23__ 24____ 25______ 26 27 28 29 30

Chunks:
  TruePositive nam [27,29] = R - 40 (confidence=0.72)

(ChunkerEvaluator) Sentence #192 from 00101482 from sent13

Text  : W 1972 przebudowano trzy samoloty do roli latających laboratoriów ,_ które miały za zadanie przetestować poszczególne elementy pocisku ._
Tokens: 1 2___ 3___________ 4___ 5_______ 6_ 7___ 8_________ 9___________ 10 11___ 12___ 13 14_____ 15__________ 16__________ 17______ 18_____ 19

Chunks:

(ChunkerEvaluator) Sentence #193 from 00101482 from sent14

Text  : MiG - 25 posłużył jako platforma badawcza do testów odpalania ,_ MiG -_ 21 do testowania głowicy naprowadzającej i_ Tu -_ 104 ,_ którego zadaniem było przetestowanie nowego radaru ze skanowaniem fazowym ZBI -_ 16 Zasłon i_ jego współpracy z_ systemem naprowadzającym pocisku ._
Tokens: 1__ 2 3_ 4_______ 5___ 6________ 7_______ 8_ 9_____ 10_______ 11 12_ 13 14 15 16________ 17_____ 18_____________ 19 20 21 22_ 23 24_____ 25______ 26__ 27____________ 28____ 29____ 30 31_________ 32_____ 33_ 34 35 36____ 37 38__ 39________ 40 41______ 42_____________ 43_____ 44

Chunks:
  TruePositive nam [12,14] = MiG - 21 (confidence=1.00)
  TruePositive nam [20,22] = Tu - 104 (confidence=0.55)
  TruePositive nam [33,36] = ZBI - 16 Zasłon (confidence=0.99)
  FalseNegative nam [1,3] = MiG - 25

(ChunkerEvaluator) Sentence #194 from 00101482 from sent15

Text  : Schemat rakiety R - 33
Tokens: 1______ 2______ 3 4 5_

Chunks:
  TruePositive nam [3,5] = R - 33 (confidence=0.92)

(ChunkerEvaluator) Sentence #195 from 00101482 from sent16

Text  : Równocześnie prowadzono prace badawcze nad czterema rodzajami systemów naprowadzających dla pocisku R_ -_ 33 :_ półaktywnej głowicy radiolokacyjnej ,_ aktywnej głowicy radiolokacyjnej ,_ głowicy termicznej i_ kombinowanej termiczno /_ radiolokacyjnej ._
Tokens: 1___________ 2_________ 3____ 4_______ 5__ 6_______ 7________ 8_______ 9_______________ 10_ 11_____ 12 13 14 15 16_________ 17_____ 18_____________ 19 20______ 21_____ 22_____________ 23 24_____ 25________ 26 27__________ 28_______ 29 30_____________ 31

Chunks:
  TruePositive nam [12,14] = R - 33 (confidence=0.96)

(ChunkerEvaluator) Sentence #196 from 00101482 from sent17

Text  : Ostatecznie podjęto decyzję , że pocisk będzie produkowany tylko w_ jednej wersji naprowadzanej radiolokacyjnie systemem półaktywnym z_ dodatkowym bezwładnościowym systemem nawigacyjnym (_ INS )_ ._
Tokens: 1__________ 2______ 3______ 4 5_ 6_____ 7_____ 8__________ 9____ 10 11____ 12____ 13___________ 14_____________ 15______ 16_________ 17 18________ 19______________ 20______ 21__________ 22 23_ 24 25

Chunks:
  TruePositive nam [23,23] = INS (confidence=0.84)

(ChunkerEvaluator) Sentence #197 from 00101482 from sent18

Text  : Ze względu na konieczność zastosowania większego radaru i przystosowania pocisku do nowego standardu zamków uzbrojenia podwieszanego ,_ konieczna była zmiana projektu R_ -_ 33 ._
Tokens: 1_ 2______ 3_ 4__________ 5___________ 6________ 7_____ 8 9_____________ 10_____ 11 12____ 13_______ 14____ 15________ 16___________ 17 18_______ 19__ 20____ 21______ 22 23 24 25

Chunks:
  TruePositive nam [22,24] = R - 33 (confidence=0.99)

(ChunkerEvaluator) Sentence #198 from 00101482 from sent19

Text  : W ramach przebudowy zmniejszono rozpiętość powierzchni nośnych pocisku dodając możliwość ich składania z_ 1100 mm do 900 mm i_ powiększono głowicę bojową ._
Tokens: 1 2_____ 3_________ 4__________ 5_________ 6__________ 7______ 8______ 9______ 10_______ 11_ 12_______ 13 14__ 15 16 17_ 18 19 20_________ 21_____ 22____ 23

Chunks:

2017-06-14 20:10:10,710 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 16 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101484.xml
(ChunkerEvaluator) Sentence #199 from 00101484 from sent1

Text  : Środek probacyjny
Tokens: 1_____ 2_________

Chunks:

(ChunkerEvaluator) Sentence #200 from 00101484 from sent2

Text  : Środek probacyjny – instytucja prawa karnego materialnego i wykonawczego realizująca wychowawcze i_ szczególnoprewencyjne cele reakcji prawnokarnej sprawcy przestępstwa ._
Tokens: 1_____ 2_________ 3 4_________ 5____ 6______ 7___________ 8 9___________ 10_________ 11_________ 12 13___________________ 14__ 15_____ 16__________ 17_____ 18__________ 19

Chunks:

(ChunkerEvaluator) Sentence #201 from 00101484 from sent3

Text  : Środek probacyjny służy resocjalizacji uznanego za winnego zarzucanego mu czynu zabronionego ,_ zazwyczaj stosowany wobec osób zagrożonych lub skazanych na karę pozbawienia wolności ._
Tokens: 1_____ 2_________ 3____ 4_____________ 5_______ 6_ 7______ 8__________ 9_ 10___ 11__________ 12 13_______ 14_______ 15___ 16__ 17_________ 18_ 19_______ 20 21__ 22_________ 23______ 24

Chunks:

(ChunkerEvaluator) Sentence #202 from 00101484 from sent4

Text  : W tym wypadku instytucja daje szansę sprawcy na poprawę w_ warunkach wolnościowych ,_ bez wykonywania kary w_ całości lub części albo uniknięcie kary w_ przypadku pozytywnego przebiegu próby przy warunkowym umorzeniu postępowania karnego ._
Tokens: 1 2__ 3______ 4_________ 5___ 6_____ 7______ 8_ 9______ 10 11_______ 12___________ 13 14_ 15_________ 16__ 17 18_____ 19_ 20____ 21__ 22________ 23__ 24 25_______ 26_________ 27_______ 28___ 29__ 30________ 31_______ 32__________ 33_____ 34

Chunks:

(ChunkerEvaluator) Sentence #203 from 00101484 from sent5

Text  : Ogólnym warunkiem jego zastosowania wobec sprawcy jest pozytywna prognoza kryminologiczna przejawiająca się w_ założeniu ,_ że dotychczasowa postawa skazanego oraz jego zachowanie po popełnieniu przestępstwa dają duże prawdopodobieństwo przestrzegania przez niego porządku prawnego w_ przyszłości ._
Tokens: 1______ 2________ 3___ 4___________ 5____ 6______ 7___ 8________ 9_______ 10_____________ 11___________ 12_ 13 14_______ 15 16 17___________ 18_____ 19_______ 20__ 21__ 22________ 23 24_________ 25__________ 26__ 27__ 28________________ 29____________ 30___ 31___ 32______ 33______ 34 35_________ 36

Chunks:

(ChunkerEvaluator) Sentence #204 from 00101484 from sent6

Text  : Środek probacyjny stosowany jest przez okres próby , podczas którego zachowanie skazanego sprzeczne z_ nałożonymi na niego obowiązkami może skutkować wykonaniem orzeczonej wobec niego kary albo podjęciem warunkowo umorzonego postępowania ._
Tokens: 1_____ 2_________ 3________ 4___ 5____ 6____ 7____ 8 9______ 10_____ 11________ 12_______ 13_______ 14 15________ 16 17___ 18_________ 19__ 20_______ 21________ 22________ 23___ 24___ 25__ 26__ 27_______ 28_______ 29________ 30__________ 31

Chunks:

(ChunkerEvaluator) Sentence #205 from 00101484 from sent7

Text  : W polskim prawie karnym wyróżnia się następujące postaci środków probacyjnych :_
Tokens: 1 2______ 3_____ 4_____ 5_______ 6__ 7__________ 8______ 9______ 10__________ 11

Chunks:

(ChunkerEvaluator) Sentence #206 from 00101484 from sent8

Text  : warunkowe zawieszenie wykonania kary
Tokens: 1________ 2__________ 3________ 4___

Chunks:

(ChunkerEvaluator) Sentence #207 from 00101484 from sent9

Text  : warunkowe przedterminowe zwolnienie
Tokens: 1________ 2_____________ 3_________

Chunks:

(ChunkerEvaluator) Sentence #208 from 00101484 from sent10

Text  : warunkowe umorzenie postępowania
Tokens: 1________ 2________ 3___________

Chunks:

(ChunkerEvaluator) Sentence #209 from 00101484 from sent11

Text  : warunkowe zwolnienie z odbycia reszty kary pozbawienia wolności
Tokens: 1________ 2_________ 3 4______ 5_____ 6___ 7__________ 8_______

Chunks:

(ChunkerEvaluator) Sentence #210 from 00101484 from sent12

Text  : przedterminowe zwolnienie z odbywania części kary ograniczenia wolności
Tokens: 1_____________ 2_________ 3 4________ 5_____ 6___ 7___________ 8_______

Chunks:

(ChunkerEvaluator) Sentence #211 from 00101484 from sent13

Text  : uznanie środka karnego za wykonany
Tokens: 1______ 2_____ 3______ 4_ 5_______

Chunks:

(ChunkerEvaluator) Sentence #212 from 00101484 from sent14

Text  : uznanie zakazu za wykonany .
Tokens: 1______ 2_____ 3_ 4_______ 5

Chunks:

2017-06-14 20:10:10,765 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 17 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101489.xml
(ChunkerEvaluator) Sentence #213 from 00101489 from sent1

Text  : Codex Runicus
Tokens: 1____ 2______

Chunks:
  TruePositive nam [1,2] = Codex Runicus (confidence=0.95)

(ChunkerEvaluator) Sentence #214 from 00101489 from sent2

Text  : Codex Runicus - składający się z 202 . stron ,_ jeden z_ niewielu tekstów runicznych zachowanych na pergaminie ._
Tokens: 1____ 2______ 3 4_________ 5__ 6 7__ 8 9____ 10 11___ 12 13______ 14_____ 15________ 16_________ 17 18________ 19

Chunks:
  TruePositive nam [1,2] = Codex Runicus (confidence=0.99)

(ChunkerEvaluator) Sentence #215 from 00101489 from sent3

Text  : Kodeks powstał około 1300 roku .
Tokens: 1_____ 2______ 3____ 4___ 5___ 6

Chunks:

(ChunkerEvaluator) Sentence #216 from 00101489 from sent4

Text  : Dokument zawiera szereg duńskich praw , w tym najstarsze znane Prawo Skańskie (_ duń ._ Skånske lov )_ dotyczące regionu Skanii (_ dziś w_ Szwecji ,_ wówczas pod panowaniem duńskim )_ ._
Tokens: 1_______ 2______ 3_____ 4_______ 5___ 6 7 8__ 9_________ 10___ 11___ 12______ 13 14_ 15 16_____ 17_ 18 19_______ 20_____ 21____ 22 23__ 24 25_____ 26 27_____ 28_ 29________ 30_____ 31 32

Chunks:
  TruePositive nam [11,12] = Prawo Skańskie (confidence=0.99)
  TruePositive nam [21,21] = Skanii (confidence=0.97)
  TruePositive nam [25,25] = Szwecji (confidence=1.00)
  FalseNegative nam [16,17] = Skånske lov

(ChunkerEvaluator) Sentence #217 from 00101489 from sent5

Text  : W Codex Runicus zawarte są również nuty i tekst najstarszej zachowanej duńskiej piosenki ludowej Drømte mig en drøm i_ nat (_ "_ W_ nocy miałem sen "_ )_ ._
Tokens: 1 2____ 3______ 4______ 5_ 6______ 7___ 8 9____ 10_________ 11________ 12______ 13______ 14_____ 15____ 16_ 17 18__ 19 20_ 21 22 23 24__ 25____ 26_ 27 28 29

Chunks:
  TruePositive nam [2,3] = Codex Runicus (confidence=0.96)
  FalsePositive nam [15,15] = Drømte (confidence=0.81) (incorrect boundry)
  FalseNegative nam [15,20] = Drømte mig en drøm i nat
  FalseNegative nam [23,26] = W nocy miałem sen

2017-06-14 20:10:10,788 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 18 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101562.xml
(ChunkerEvaluator) Sentence #218 from 00101562 from sent1

Text  : Wtedy Suszyć usiadł znowu przed swem biurem , i długo siedział nieruchomy ,_ szklistemi oczami patrząc w_ przestrzeń z_ uśmiechem to ukazującym się ,_ to znikającym na bladych ważkich wargach ._
Tokens: 1____ 2_____ 3_____ 4____ 5____ 6___ 7_____ 8 9 10___ 11______ 12________ 13 14________ 15____ 16_____ 17 18________ 19 20_______ 21 22________ 23_ 24 25 26________ 27 28_____ 29_____ 30_____ 31

Chunks:
  FalseNegative nam [2,2] = Suszyć

(ChunkerEvaluator) Sentence #219 from 00101562 from sent2

Text  : Stopniowo jednak czoło jego chyliło się coraz niżej , aż opadło na obie dłonie ;_ człowiek ten dziwnem jakiemś ogarniony dumaniem ,_ pozostał już tak aż do schyłku dnia bez ruchu ni drgnienia ._
Tokens: 1________ 2_____ 3____ 4___ 5______ 6__ 7____ 8____ 9 10 11____ 12 13__ 14____ 15 16______ 17_ 18_____ 19_____ 20_______ 21______ 22 23______ 24_ 25_ 26 27 28_____ 29__ 30_ 31___ 32 33_______ 34

Chunks:

(ChunkerEvaluator) Sentence #220 from 00101562 from sent3

Text  : W domu gwar przycichał stopniami , i przy zapadającym zmroku ,_ można było widzieć trzy kobiety w_ towarzystwie młodego mężczyzny prowadzącego za sobą pudla ,_ opuszczające dom ,_ i_ wychodzące na ulicę w_ bardzo mizernych wytartych futerkach ,_ zarzuconych na szerokie fruwające ,_ wyfalbanowane suknie ,_ i_ w_ przybrudnych starych szalikach okrywających głowy wystrojone w_ nioby ,_ loki ,_ kokardy i_ papierowe kwiaty ._
Tokens: 1 2___ 3___ 4_________ 5________ 6 7 8___ 9__________ 10____ 11 12___ 13__ 14_____ 15__ 16_____ 17 18__________ 19_____ 20_______ 21__________ 22 23__ 24___ 25 26__________ 27_ 28 29 30________ 31 32___ 33 34____ 35_______ 36_______ 37_______ 38 39_________ 40 41______ 42_______ 43 44___________ 45____ 46 47 48 49__________ 50_____ 51_______ 52__________ 53___ 54________ 55 56___ 57 58__ 59 60_____ 61 62_______ 63____ 64

Chunks:

(ChunkerEvaluator) Sentence #221 from 00101562 from sent4

Text  : Strój ten odziewał dwie tylko młodsze kobiety , bo starsza miała na sobie bardzo ciepłe ,_ dostatnie futro ,_ z_ pod którego widniał wyglądający jak pancerz ,_ atłasowy stanik ze stalowemi guzikami ,_ a_ na głowie rudawe włosy ,_ zaczesane w_ płaskie pasma i_ warkocze ,_ przykryte wielką ,_ bezbarwną ,_ lecz ciepłą i_ wygodną chustką ._
Tokens: 1____ 2__ 3_______ 4___ 5____ 6______ 7______ 8 9_ 10_____ 11___ 12 13___ 14____ 15____ 16 17_______ 18___ 19 20 21_ 22_____ 23_____ 24_________ 25_ 26_____ 27 28______ 29____ 30 31_______ 32______ 33 34 35 36____ 37____ 38___ 39 40_______ 41 42_____ 43___ 44 45______ 46 47_______ 48____ 49 50_______ 51 52__ 53____ 54 55_____ 56_____ 57

Chunks:

(ChunkerEvaluator) Sentence #222 from 00101562 from sent5

Text  : Po odejściu tych kobiet cisza zupełna zaległa wnętrze domu nad kałużą ._
Tokens: 1_ 2_______ 3___ 4_____ 5____ 6______ 7______ 8______ 9___ 10_ 11____ 12

Chunks:

(ChunkerEvaluator) Sentence #223 from 00101562 from sent6

Text  : Ciemno tara było także .
Tokens: 1_____ 2___ 3___ 4____ 5

Chunks:

(ChunkerEvaluator) Sentence #224 from 00101562 from sent7

Text  : W kuchni chrapała wcześnie po dziennych trudach uśpiona , jedyna sługa domu ;_ w_ zimnym wilgotnym pokoju z_ jednem oknem wychodzącem na dziedziniec ,_ siedział pogrążony w_ ciemności i_ nieruchomej zadumie ojciec rodziny ._
Tokens: 1 2_____ 3_______ 4_______ 5_ 6________ 7______ 8______ 9 10____ 11___ 12__ 13 14 15____ 16_______ 17____ 18 19____ 20___ 21_________ 22 23_________ 24 25______ 26_______ 27 28_______ 29 30_________ 31_____ 32____ 33_____ 34

Chunks:

(ChunkerEvaluator) Sentence #225 from 00101562 from sent8

Text  : I tylko przez drzwi wązkiej , długiej sypialni kobiet ,_ przeciskał się wązki promyczek skąpego światła ;_ pochodził on od małej przyćmionej lampki ,_ przy której z_ twarzą na dłoni ,_ w_ rannej spódniczce i_ pąsowym flanelkowym kaftaniku ,_ samotna i_ zamyślona siedziała Piękna ._
Tokens: 1 2____ 3____ 4____ 5______ 6 7______ 8_______ 9_____ 10 11________ 12_ 13___ 14_______ 15_____ 16_____ 17 18_______ 19 20 21___ 22_________ 23____ 24 25__ 26____ 27 28____ 29 30___ 31 32 33____ 34________ 35 36_____ 37_________ 38_______ 39 40_____ 41 42_______ 43_______ 44____ 45

Chunks:
  TruePositive nam [44,44] = Piękna (confidence=0.99)

(ChunkerEvaluator) Sentence #226 from 00101562 from sent9

Text  : Furtka u bramy skrzypnęła , na dziedzińcu dały się słyszeć przytłumiono lecz ciężkie jakieś kroki ;_ do ciemnego okna pokoju Suszyca zastukano zlekka ._
Tokens: 1_____ 2 3____ 4_________ 5 6_ 7_________ 8___ 9__ 10_____ 11__________ 12__ 13_____ 14____ 15___ 16 17 18______ 19__ 20____ 21_____ 22_______ 23____ 24

Chunks:
  TruePositive nam [21,21] = Suszyca (confidence=1.00)

(ChunkerEvaluator) Sentence #227 from 00101562 from sent10

Text  : Stukanie to jakkolwiek nie było zbyt głośne , od razu wyrwało Suszyca z_ zamyślenia ._
Tokens: 1_______ 2_ 3_________ 4__ 5___ 6___ 7_____ 8 9_ 10__ 11_____ 12_____ 13 14________ 15

Chunks:
  TruePositive nam [12,12] = Suszyca (confidence=0.87)

(ChunkerEvaluator) Sentence #228 from 00101562 from sent11

Text  : Podniósł głowę i utkwił wzrok w szybach , za któremi rysował się cień wysokiej ,_ barczystej postaci męzkiej ._
Tokens: 1_______ 2____ 3 4_____ 5____ 6 7______ 8 9_ 10_____ 11_____ 12_ 13__ 14______ 15 16________ 17_____ 18_____ 19

Chunks:

(ChunkerEvaluator) Sentence #229 from 00101562 from sent12

Text  : Wstał i otworzył okno , przez które wnet wsunęła się głowa z_ czapką ,_ krzywo włożoną na bujne ,_ pokudłaczone włosy ,_ i_ z_ twarzą bladą ,_ niezdrową ,_ więcej niż w_ połowic okrytą gęstym jak las ,_ czarnym jak smoła zarostem ._
Tokens: 1____ 2 3_______ 4___ 5 6____ 7____ 8___ 9______ 10_ 11___ 12 13____ 14 15____ 16_____ 17 18___ 19 20__________ 21___ 22 23 24 25____ 26___ 27 28_______ 29 30____ 31_ 32 33_____ 34____ 35____ 36_ 37_ 38 39_____ 40_ 41___ 42______ 43

Chunks:

(ChunkerEvaluator) Sentence #230 from 00101562 from sent13

Text  : Para czarnych , gorejących , nieufnych oczów podniosła się z_ pod brwi strzępiastych na twarz Suszyca ;_ w_ oczach tych świeciło brzydkie jakieś rozradowanie ._
Tokens: 1___ 2_______ 3 4_________ 5 6________ 7____ 8________ 9__ 10 11_ 12__ 13___________ 14 15___ 16_____ 17 18 19____ 20__ 21______ 22______ 23____ 24__________ 25

Chunks:
  TruePositive nam [16,16] = Suszyca (confidence=1.00)

(ChunkerEvaluator) Sentence #231 from 00101562 from sent14

Text  : — I cóż ? — ozwał się przybyły grubym choć cichym szeptem —_ dzieło dokonane szczęśliwie !_
Tokens: 1 2 3__ 4 5 6____ 7__ 8_______ 9_____ 10__ 11____ 12_____ 13 14____ 15______ 16_________ 17

Chunks:

(ChunkerEvaluator) Sentence #232 from 00101562 from sent15

Text  : Czy bardzo się dziś cieszysz ?
Tokens: 1__ 2_____ 3__ 4___ 5_______ 6

Chunks:

(ChunkerEvaluator) Sentence #233 from 00101562 from sent16

Text  : bo co ja , to bardzo !
Tokens: 1_ 2_ 3_ 4 5_ 6_____ 7

Chunks:

2017-06-14 20:10:10,911 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 19 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101566.xml
(ChunkerEvaluator) Sentence #234 from 00101566 from sent1

Text  : " Co to znaczy ? . . .
Tokens: 1 2_ 3_ 4_____ 5 6 7 8

Chunks:

(ChunkerEvaluator) Sentence #235 from 00101566 from sent2

Text  : Dlaczego ona każe mi uciekać z Warszawy ? . ._ ._
Tokens: 1_______ 2__ 3___ 4_ 5______ 6 7_______ 8 9 10 11

Chunks:
  TruePositive nam [7,7] = Warszawy (confidence=1.00)

(ChunkerEvaluator) Sentence #236 from 00101566 from sent3

Text  : Ach , rozumiem ! . . .
Tokens: 1__ 2 3_______ 4 5 6 7

Chunks:

(ChunkerEvaluator) Sentence #237 from 00101566 from sent4

Text  : Już i ją męczy bakalarstwo , tym więcej dziś ,_ kiedy ze wsi wpadła w_ chaos ._ ._ ._
Tokens: 1__ 2 3_ 4____ 5__________ 6 7__ 8_____ 9___ 10 11___ 12 13_ 14____ 15 16___ 17 18 19

Chunks:

(ChunkerEvaluator) Sentence #238 from 00101566 from sent5

Text  : Ale ma słuszność , że Warszawa jest nieznośna . ._ ._ "_
Tokens: 1__ 2_ 3________ 4 5_ 6_______ 7___ 8________ 9 10 11 12

Chunks:
  TruePositive nam [6,6] = Warszawa (confidence=0.99)

(ChunkerEvaluator) Sentence #239 from 00101566 from sent6

Text  : Teraz dla Madzi zaczęły się przykre czasy .
Tokens: 1____ 2__ 3____ 4______ 5__ 6______ 7____ 8

Chunks:
  TruePositive nam [3,3] = Madzi (confidence=0.99)

(ChunkerEvaluator) Sentence #240 from 00101566 from sent7

Text  : Już i w drugim domu , z powodu wejścia panienek na pensję ,_ skończyły się lekcje ,_ tak że oprócz paru godzin z_ siostrzenicą Dębickiego Madzia nie miała zajęcia ._
Tokens: 1__ 2 3 4_____ 5___ 6 7 8_____ 9______ 10______ 11 12____ 13 14_______ 15_ 16____ 17 18_ 19 20____ 21__ 22____ 23 24__________ 25________ 26____ 27_ 28___ 29_____ 30

Chunks:
  FalsePositive nam [25,26] = Dębickiego Madzia (confidence=1.00) (incorrect boundry)
  FalseNegative nam [25,25] = Dębickiego
  FalseNegative nam [26,26] = Madzia

(ChunkerEvaluator) Sentence #241 from 00101566 from sent8

Text  : Każdego poranku trapiła ją chęć wyjścia , ale - po co i_ dokąd ?_
Tokens: 1______ 2______ 3______ 4_ 5___ 6______ 7 8__ 9 10 11 12 13___ 14

Chunks:

(ChunkerEvaluator) Sentence #242 from 00101566 from sent9

Text  : Więc siedziała samotna w domu trwożąc się , że nic nie robi ,_ i_ czekając na list od Zdzisława ._
Tokens: 1___ 2________ 3______ 4 5___ 6______ 7__ 8 9_ 10_ 11_ 12__ 13 14 15______ 16 17__ 18 19_______ 20

Chunks:
  TruePositive nam [19,19] = Zdzisława (confidence=1.00)

(ChunkerEvaluator) Sentence #243 from 00101566 from sent10

Text  : " Dziś z pewnością przyjdzie - myślała .
Tokens: 1 2___ 3 4________ 5________ 6 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #244 from 00101566 from sent11

Text  : - Nie było z rana , więc będzie po południu ._ ._ ._
Tokens: 1 2__ 3___ 4 5___ 6 7___ 8_____ 9_ 10______ 11 12 13

Chunks:

(ChunkerEvaluator) Sentence #245 from 00101566 from sent12

Text  : Nie było dziś , więc jutro . . . "_
Tokens: 1__ 2___ 3___ 4 5___ 6____ 7 8 9 10

Chunks:

(ChunkerEvaluator) Sentence #246 from 00101566 from sent13

Text  : Ile razy na trzecim piętrze pojawił się listonosz , którego kroki już poznawała ,_ Madzia biegła rozgorączkowana do drzwi ._
Tokens: 1__ 2___ 3_ 4______ 5______ 6______ 7__ 8________ 9 10_____ 11___ 12_ 13_______ 14 15____ 16____ 17_____________ 18 19___ 20

Chunks:
  TruePositive nam [15,15] = Madzia (confidence=0.97)

(ChunkerEvaluator) Sentence #247 from 00101566 from sent14

Text  : - A do mnie ma pan list ?
Tokens: 1 2 3_ 4___ 5_ 6__ 7___ 8

Chunks:

(ChunkerEvaluator) Sentence #248 from 00101566 from sent15

Text  : - pytała .
Tokens: 1 2_____ 3

Chunks:

(ChunkerEvaluator) Sentence #249 from 00101566 from sent16

Text  : - Do Brzeskiej ?
Tokens: 1 2_ 3________ 4

Chunks:
  FalsePositive nam [2,3] = Do Brzeskiej (confidence=0.49) (incorrect boundry)
  FalseNegative nam [3,3] = Brzeskiej

(ChunkerEvaluator) Sentence #250 from 00101566 from sent17

Text  : - Nie ma , proszę pani - odpowiadał listonosz kłaniając się i_ uśmiechając ._
Tokens: 1 2__ 3_ 4 5_____ 6___ 7 8_________ 9________ 10_______ 11_ 12 13_________ 14

Chunks:

(ChunkerEvaluator) Sentence #251 from 00101566 from sent18

Text  : - To nie może być ! . . .
Tokens: 1 2_ 3__ 4___ 5__ 6 7 8 9

Chunks:

(ChunkerEvaluator) Sentence #252 from 00101566 from sent19

Text  : Niech pan poszuka w torbie . . .
Tokens: 1____ 2__ 3______ 4 5_____ 6 7 8

Chunks:

(ChunkerEvaluator) Sentence #253 from 00101566 from sent20

Text  : Listonosz wydobywał pakę listów i przerzucał je razem z Madzią ._
Tokens: 1________ 2________ 3___ 4_____ 5 6_________ 7_ 8____ 9 10____ 11

Chunks:
  TruePositive nam [10,10] = Madzią (confidence=0.98)
  FalsePositive nam [1,1] = Listonosz (confidence=0.59) (incorrect boundry)

(ChunkerEvaluator) Sentence #254 from 00101566 from sent21

Text  : Do niej nie było nic .
Tokens: 1_ 2___ 3__ 4___ 5__ 6

Chunks:

(ChunkerEvaluator) Sentence #255 from 00101566 from sent22

Text  : - Niedobry Zdzisław ! . . .
Tokens: 1 2_______ 3_______ 4 5 6 7

Chunks:
  TruePositive nam [3,3] = Zdzisław (confidence=0.54)

(ChunkerEvaluator) Sentence #256 from 00101566 from sent23

Text  : - szeptała z żalem .
Tokens: 1 2_______ 3 4____ 5

Chunks:

(ChunkerEvaluator) Sentence #257 from 00101566 from sent24

Text  : Pocieszała się , że może wyjechał na kilka dni ,_ na parę tygodni i_ -_ byle wrócił do swoich fabryk -_ wezwie ją natychmiast ._
Tokens: 1_________ 2__ 3 4_ 5___ 6_______ 7_ 8____ 9__ 10 11 12__ 13_____ 14 15 16__ 17____ 18 19____ 20____ 21 22____ 23 24_________ 25

Chunks:

(ChunkerEvaluator) Sentence #258 from 00101566 from sent25

Text  : Niekiedy jednak przychodziło jej na myśl , że brat mógł wyjechać na wakacje ,_ że będzie siedział jeszcze miesiąc ._ ._ ._
Tokens: 1_______ 2_____ 3___________ 4__ 5_ 6___ 7 8_ 9___ 10__ 11______ 12 13_____ 14 15 16____ 17______ 18_____ 19_____ 20 21 22

Chunks:

(ChunkerEvaluator) Sentence #259 from 00101566 from sent26

Text  : Wtedy ogarniała ją rozpacz .
Tokens: 1____ 2________ 3_ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #260 from 00101566 from sent27

Text  : " Co przez ten czas będę robić ? . ._ ._ "_
Tokens: 1 2_ 3____ 4__ 5___ 6___ 7____ 8 9 10 11 12

Chunks:

(ChunkerEvaluator) Sentence #261 from 00101566 from sent28

Text  : - mówiła , z trwogą wyobrażając sobie noce bezsenne i_ upalne dnie nieskończenie długie ,_ bez pracy ,_ bez znajomych ,_ nawet bez możności wychodzenia z_ domu ._
Tokens: 1 2_____ 3 4 5_____ 6__________ 7____ 8___ 9_______ 10 11____ 12__ 13___________ 14____ 15 16_ 17___ 18 19_ 20_______ 21 22___ 23_ 24______ 25_________ 26 27__ 28

Chunks:

(ChunkerEvaluator) Sentence #262 from 00101566 from sent29

Text  : Raz postanowiła wyjechać bodaj na kilka dni do Iksinowa ;_ ale wyrzekła się projektu ._
Tokens: 1__ 2__________ 3_______ 4____ 5_ 6____ 7__ 8_ 9_______ 10 11_ 12______ 13_ 14______ 15

Chunks:
  TruePositive nam [9,9] = Iksinowa (confidence=0.99)

(ChunkerEvaluator) Sentence #263 from 00101566 from sent30

Text  : Przypomniała sobie plotki z powodu Stelli i jej dziecka i_ -_ straciła odwagę ._
Tokens: 1___________ 2____ 3_____ 4 5_____ 6_____ 7 8__ 9______ 10 11 12______ 13____ 14

Chunks:
  TruePositive nam [6,6] = Stelli (confidence=1.00)

(ChunkerEvaluator) Sentence #264 from 00101566 from sent31

Text  : Bo jakby ją tam przyjęli dawni znajomi ?
Tokens: 1_ 2____ 3_ 4__ 5_______ 6____ 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #265 from 00101566 from sent32

Text  : Ilu pytań i uwag musiała by wysłuchać za zerwanie z_ Solskim ?_ ._ ._ ._
Tokens: 1__ 2____ 3 4___ 5______ 6_ 7________ 8_ 9_______ 10 11_____ 12 13 14 15

Chunks:
  TruePositive nam [11,11] = Solskim (confidence=0.92)

(ChunkerEvaluator) Sentence #266 from 00101566 from sent33

Text  : Wreszcie może nadejść list od Zdzisława . . .
Tokens: 1_______ 2___ 3______ 4___ 5_ 6________ 7 8 9

Chunks:
  TruePositive nam [6,6] = Zdzisława (confidence=0.99)

(ChunkerEvaluator) Sentence #267 from 00101566 from sent34

Text  : Raz ukończywszy lekcje z Zosią wzięła ją do Łazienek ._
Tokens: 1__ 2__________ 3_____ 4 5____ 6_____ 7_ 8_ 9_______ 10

Chunks:
  TruePositive nam [5,5] = Zosią (confidence=0.92)
  TruePositive nam [9,9] = Łazienek (confidence=0.92)

(ChunkerEvaluator) Sentence #268 from 00101566 from sent35

Text  : Spacerowały do wieczora , karmiły łabędzie i wyobrażały sobie ,_ jakby to było dobrze ,_ gdyby im pozwolono pływać czółnem po sadzawce ._
Tokens: 1__________ 2_ 3_______ 4 5______ 6_______ 7 8_________ 9____ 10 11___ 12 13__ 14____ 15 16___ 17 18_______ 19____ 20_____ 21 22______ 23

Chunks:

(ChunkerEvaluator) Sentence #269 from 00101566 from sent36

Text  : Po tej przechadzce Madzia uczuła się rzeźwiejszą i weselszą ._
Tokens: 1_ 2__ 3__________ 4_____ 5_____ 6__ 7__________ 8 9_______ 10

Chunks:
  TruePositive nam [4,4] = Madzia (confidence=1.00)

(ChunkerEvaluator) Sentence #270 from 00101566 from sent37

Text  : Lecz gdy odprowadziwszy Zosię do Dębickiego , do pałacu Solskich ,_ zobaczyła oświetlone okna Ady ,_ opanował ją straszny żal ._
Tokens: 1___ 2__ 3_____________ 4____ 5_ 6_________ 7 8_ 9_____ 10______ 11 12_______ 13________ 14__ 15_ 16 17______ 18 19______ 20_ 21

Chunks:
  TruePositive nam [4,4] = Zosię (confidence=0.97)
  TruePositive nam [6,6] = Dębickiego (confidence=0.99)
  TruePositive nam [10,10] = Solskich (confidence=0.91)
  TruePositive nam [15,15] = Ady (confidence=0.98)

2017-06-14 20:10:11,036 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 20 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101569.xml
(ChunkerEvaluator) Sentence #271 from 00101569 from sent1

Text  : – Nie – powiedziała po chwili twardo , podnosząc się i_ zaciskając mocno ręce na piersiach ._
Tokens: 1 2__ 3 4__________ 5_ 6_____ 7_____ 8 9________ 10_ 11 12________ 13___ 14__ 15 16_______ 17

Chunks:

(ChunkerEvaluator) Sentence #272 from 00101569 from sent2

Text  : – Nie , pójdę .
Tokens: 1 2__ 3 4____ 5

Chunks:

(ChunkerEvaluator) Sentence #273 from 00101569 from sent3

Text  : Co bądźby się stało , pójdę .
Tokens: 1_ 2_____ 3__ 4____ 5 6____ 7

Chunks:

(ChunkerEvaluator) Sentence #274 from 00101569 from sent4

Text  : – Idź !
Tokens: 1 2__ 3

Chunks:

(ChunkerEvaluator) Sentence #275 from 00101569 from sent5

Text  : idź !
Tokens: 1__ 2

Chunks:

(ChunkerEvaluator) Sentence #276 from 00101569 from sent6

Text  : idź !
Tokens: 1__ 2

Chunks:

(ChunkerEvaluator) Sentence #277 from 00101569 from sent7

Text  : – zdawał się brzmieć głos , podobny teraz do jęku dzwonów pogrzebowych i_ bił w_ jej mózg okropnym rytmem ;_ słuchała i_ zdawało się jej ,_ że wszystkie ściany się otworzyły ,_ że spod jej stóp biegnie droga w_ świat jasny ,_ wesoły ,_ uśmiechnięty ,_ że idzie tą drogą i_ spostrzega w_ poprzek trupa sinego ojca !_ –_ krzyknęła z_ przestrachu ._
Tokens: 1 2_____ 3__ 4______ 5___ 6 7______ 8____ 9_ 10__ 11_____ 12__________ 13 14_ 15 16_ 17__ 18______ 19____ 20 21______ 22 23_____ 24_ 25_ 26 27 28_______ 29____ 30_ 31_______ 32 33 34__ 35_ 36__ 37_____ 38___ 39 40___ 41___ 42 43____ 44 45__________ 46 47 48___ 49 50___ 51 52________ 53 54_____ 55___ 56____ 57__ 58 59 60_______ 61 62_________ 63

Chunks:

(ChunkerEvaluator) Sentence #278 from 00101569 from sent8

Text  : Zaczęła biegać po pokoju , myśli się zmieszały jak toń ,_ po której powiał ostry wicher ._
Tokens: 1______ 2_____ 3_ 4_____ 5 6____ 7__ 8________ 9__ 10_ 11 12 13____ 14____ 15___ 16____ 17

Chunks:

(ChunkerEvaluator) Sentence #279 from 00101569 from sent9

Text  : – Jezus !
Tokens: 1 2____ 3

Chunks:
  TruePositive nam [2,2] = Jezus (confidence=0.63)

(ChunkerEvaluator) Sentence #280 from 00101569 from sent10

Text  : Jezus !
Tokens: 1____ 2

Chunks:
  TruePositive nam [1,1] = Jezus (confidence=0.95)

(ChunkerEvaluator) Sentence #281 from 00101569 from sent11

Text  : Jezus !
Tokens: 1____ 2

Chunks:
  TruePositive nam [1,1] = Jezus (confidence=0.95)

(ChunkerEvaluator) Sentence #282 from 00101569 from sent12

Text  : – jęczała i taki okropny ból zakręcił jej całą istnością ,_ że skowyczała nieludzko i_ wpadła w_ jakieś omdlenie ,_ w_ którym przestała czuć i_ myśleć ,_ tylko bezmyślnie patrzyła na smugi światła ,_ wdzierające się z_ peronu i_ miała pod czaszką jakąś pustkę i_ wielką głuszę dookoła ._
Tokens: 1 2______ 3 4___ 5______ 6__ 7_______ 8__ 9___ 10_______ 11 12 13________ 14_______ 15 16____ 17 18____ 19______ 20 21 22____ 23_______ 24__ 25 26____ 27 28___ 29________ 30______ 31 32___ 33_____ 34 35_________ 36_ 37 38____ 39 40___ 41_ 42_____ 43___ 44____ 45 46____ 47____ 48_____ 49

Chunks:

(ChunkerEvaluator) Sentence #283 from 00101569 from sent13

Text  : Godziny szły za godzinami i niby krople sączyły się do nieskończoności ;_ noc trzymała świat w_ objęciu czarnym ;_ noc ,_ pełna plusku ,_ deszczu i_ wichrów ,_ które wyły za oknami i_ zginały skrzypiące żałośnie drzewa ,_ i_ mocowały się z_ lasem ._
Tokens: 1______ 2___ 3_ 4________ 5 6___ 7_____ 8______ 9__ 10 11_____________ 12 13_ 14______ 15___ 16 17_____ 18_____ 19 20_ 21 22___ 23____ 24 25_____ 26 27_____ 28 29___ 30__ 31 32____ 33 34_____ 35________ 36______ 37____ 38 39 40______ 41_ 42 43___ 44

Chunks:

(ChunkerEvaluator) Sentence #284 from 00101569 from sent14

Text  : Jęk drutów telegraficznych , podobny do żałosnego , zmęczonego pisku psów na łańcuchach ,_ rozbrzmiewał po pokoju ._
Tokens: 1__ 2_____ 3______________ 4 5______ 6_ 7________ 8 9_________ 10___ 11__ 12 13________ 14 15__________ 16 17____ 18

Chunks:

(ChunkerEvaluator) Sentence #285 from 00101569 from sent15

Text  : Głosy nieznane nocy i ciemności skarżyły się nad lasami ,_ leciały niby skry ,_ niby promieniowania gwiazd ,_ poprzez ciemności ,_ tonęły w_ ciemnościach i_ martwocie ._
Tokens: 1____ 2_______ 3___ 4 5________ 6_______ 7__ 8__ 9_____ 10 11_____ 12__ 13__ 14 15__ 16____________ 17____ 18 19_____ 20_______ 21 22____ 23 24__________ 25 26_______ 27

Chunks:

(ChunkerEvaluator) Sentence #286 from 00101569 from sent16

Text  : Ziemia i noc zlały się w jedną bezkształtna bryłę ,_ która zdawała się drgać przez sen ,_ wzdychać wichrami i_ jazgotać urągliwie ._
Tokens: 1_____ 2 3__ 4____ 5__ 6 7____ 8___________ 9____ 10 11___ 12_____ 13_ 14___ 15___ 16_ 17 18______ 19______ 20 21______ 22_______ 23

Chunks:

(ChunkerEvaluator) Sentence #287 from 00101569 from sent17

Text  : Janka leżała wciąż , burza w niej ucichła , przestała się szamotać ;_ była teraz jak ciężki kloc drzewa ,_ wyrzucony z_ głębi wód na piasek nadbrzeżny ,_ który tylko fale liżą chciwie ,_ ale już nie mogą porwać na głębie i_ zatopić ._
Tokens: 1____ 2_____ 3____ 4 5____ 6 7___ 8______ 9 10_______ 11_ 12______ 13 14__ 15___ 16_ 17____ 18__ 19____ 20 21_______ 22 23___ 24_ 25 26____ 27________ 28 29___ 30___ 31__ 32__ 33_____ 34 35_ 36_ 37_ 38__ 39____ 40 41____ 42 43_____ 44

Chunks:
  TruePositive nam [1,1] = Janka (confidence=0.83)

(ChunkerEvaluator) Sentence #288 from 00101569 from sent18

Text  : Wszystko w niej przycichło , wyczerpało się , obumarło ,_ jak świat po orkanie błyskawic i_ piorunów obumiera i_ przycicha ,_ ale w_ powietrzu drży jeszcze groza ,_ na ziemi leżą ruiny i_ jeszcze niekiedy piorun niemy przerżnie horyzont wstęgą ognistą ._
Tokens: 1_______ 2 3___ 4_________ 5 6_________ 7__ 8 9_______ 10 11_ 12___ 13 14_____ 15_______ 16 17______ 18______ 19 20_______ 21 22_ 23 24_______ 25__ 26_____ 27___ 28 29 30___ 31__ 32___ 33 34_____ 35______ 36____ 37___ 38_______ 39______ 40____ 41_____ 42

Chunks:

(ChunkerEvaluator) Sentence #289 from 00101569 from sent19

Text  : – Zostanę !
Tokens: 1 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #290 from 00101569 from sent20

Text  : zostanę !
Tokens: 1______ 2

Chunks:

(ChunkerEvaluator) Sentence #291 from 00101569 from sent21

Text  : – odpowiadała głosem podobnym do jęku konających .
Tokens: 1 2__________ 3_____ 4_______ 5_ 6___ 7_________ 8

Chunks:

(ChunkerEvaluator) Sentence #292 from 00101569 from sent22

Text  : – Zostanę !
Tokens: 1 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #293 from 00101569 from sent23

Text  : – i prawie po raz ostatni pierś się podniosła w_ łkaniu ._
Tokens: 1 2 3_____ 4_ 5__ 6______ 7____ 8__ 9________ 10 11____ 12

Chunks:

(ChunkerEvaluator) Sentence #294 from 00101569 from sent24

Text  : – Zostanę !
Tokens: 1 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #295 from 00101569 from sent25

Text  : – powtarzała uporczywie , czując , że wszystko , co w_ niej żyło ,_ chciało ,_ co myślało ,_ zamiera ,_ rozsypuje się i_ łączy jakby z_ tą straszną nocą ._
Tokens: 1 2_________ 3_________ 4 5_____ 6 7_ 8_______ 9 10 11 12__ 13__ 14 15_____ 16 17 18_____ 19 20_____ 21 22_______ 23_ 24 25___ 26___ 27 28 29______ 30__ 31

Chunks:

(ChunkerEvaluator) Sentence #296 from 00101569 from sent26

Text  : Czuła , że się rozwija niby pełne wrzeciono ze wszystkich marzeń i_ pragnień ,_ i_ że się sprowadza do jakiegoś pierwotnego stanu ,_ w_ którym się nie pragnie niczego ,_ na nic nie czeka ,_ niczemu się nie raduje i_ jest się jak brzoza jesienią ,_ bez liści i_ na pół martwa ,_ i_ tam się gnie ,_ gdzie chcą wichry ,_ i_ tam pada ,_ gdzie chcą ludzie ,_ i_ tak zamiera ,_ jak chce ziemia martwiejąca i_ wystygła ._
Tokens: 1____ 2 3_ 4__ 5______ 6___ 7____ 8________ 9_ 10________ 11____ 12 13______ 14 15 16 17_ 18_______ 19 20______ 21_________ 22___ 23 24 25____ 26_ 27_ 28_____ 29_____ 30 31 32_ 33_ 34___ 35 36_____ 37_ 38_ 39____ 40 41__ 42_ 43_ 44____ 45______ 46 47_ 48___ 49 50 51_ 52____ 53 54 55_ 56_ 57__ 58 59___ 60__ 61____ 62 63 64_ 65__ 66 67___ 68__ 69____ 70 71 72_ 73_____ 74 75_ 76__ 77____ 78_________ 79 80______ 81

Chunks:

(ChunkerEvaluator) Sentence #297 from 00101569 from sent27

Text  : Uklękła przed obrazem Matki Boskiej .
Tokens: 1______ 2____ 3______ 4____ 5______ 6

Chunks:
  TruePositive nam [4,5] = Matki Boskiej (confidence=1.00)

2017-06-14 20:10:11,190 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 21 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101610.xml
(ChunkerEvaluator) Sentence #298 from 00101610 from sent1

Text  : Nim gość oprzytomniał , ubrano go w kalosze , wydano resztę i_ wśród niskich ukłonów odprowadzono do drzwi ._
Tokens: 1__ 2___ 3___________ 4 5_____ 6_ 7 8______ 9 10____ 11____ 12 13___ 14_____ 15_____ 16__________ 17 18___ 19

Chunks:

(ChunkerEvaluator) Sentence #299 from 00101610 from sent2

Text  : Interesant stał przez chwilę na ulicy , bezmyślnie patrząc w_ szybę ,_ spoza której Mraczewski darzył go słodkim uśmiechem i_ ognistymi spojrzeniami ._
Tokens: 1_________ 2___ 3____ 4_____ 5_ 6____ 7 8_________ 9______ 10 11___ 12 13___ 14____ 15________ 16____ 17 18_____ 19_______ 20 21_______ 22__________ 23

Chunks:
  TruePositive nam [15,15] = Mraczewski (confidence=1.00)

(ChunkerEvaluator) Sentence #300 from 00101610 from sent3

Text  : Wreszcie machnął ręką i poszedł dalej , może myśląc ,_ że w_ innym sklepie kalosze bez literek kosztowały by go dziesięć złotych ._
Tokens: 1_______ 2______ 3___ 4 5______ 6____ 7 8___ 9_____ 10 11 12 13___ 14_____ 15_____ 16_ 17_____ 18________ 19 20 21______ 22_____ 23

Chunks:
  TruePositive nam [22,22] = złotych (confidence=0.72)

(ChunkerEvaluator) Sentence #301 from 00101610 from sent4

Text  : Pan Ignacy zwrócił się do Lisieckiego i kiwał głową w_ sposób oznaczający podziw i_ zadowolenie ._
Tokens: 1__ 2_____ 3______ 4__ 5_ 6__________ 7 8____ 9____ 10 11____ 12_________ 13____ 14 15_________ 16

Chunks:
  TruePositive nam [2,2] = Ignacy (confidence=1.00)
  TruePositive nam [6,6] = Lisieckiego (confidence=1.00)

(ChunkerEvaluator) Sentence #302 from 00101610 from sent5

Text  : Mraczewski dostrzegł ten ruch kątem oka i podbiegłszy do Lisieckiego ,_ rzekł półgłosem :_
Tokens: 1_________ 2________ 3__ 4___ 5____ 6__ 7 8__________ 9_ 10_________ 11 12___ 13_______ 14

Chunks:
  TruePositive nam [1,1] = Mraczewski (confidence=0.54)
  TruePositive nam [10,10] = Lisieckiego (confidence=1.00)

(ChunkerEvaluator) Sentence #303 from 00101610 from sent6

Text  : — Niech no pan patrzy , czy nasz stary nie jest podobny z_ profilu do Napoleona III ?_
Tokens: 1 2____ 3_ 4__ 5_____ 6 7__ 8___ 9____ 10_ 11__ 12_____ 13 14_____ 15 16_______ 17_ 18

Chunks:
  TruePositive nam [16,17] = Napoleona III (confidence=1.00)

(ChunkerEvaluator) Sentence #304 from 00101610 from sent7

Text  : Nos . . . wąs . . . hiszpanka ._ ._ ._
Tokens: 1__ 2 3 4 5__ 6 7 8 9________ 10 11 12

Chunks:

(ChunkerEvaluator) Sentence #305 from 00101610 from sent8

Text  : — Do Napoleona , kiedy chorował na kamień — odparł Lisiecki ._
Tokens: 1 2_ 3________ 4 5____ 6_______ 7_ 8_____ 9 10____ 11______ 12

Chunks:
  TruePositive nam [3,3] = Napoleona (confidence=0.80)
  TruePositive nam [11,11] = Lisiecki (confidence=1.00)

(ChunkerEvaluator) Sentence #306 from 00101610 from sent9

Text  : Na ten dowcip pan Ignacy skrzywił się z niesmakiem ._
Tokens: 1_ 2__ 3_____ 4__ 5_____ 6_______ 7__ 8 9_________ 10

Chunks:
  TruePositive nam [5,5] = Ignacy (confidence=1.00)

(ChunkerEvaluator) Sentence #307 from 00101610 from sent10

Text  : Swoją drogą Mraczewski dostał urlop przed siódmą wieczór , a_ w_ parę dni później w_ prywatnym katalogu Rzeckiego otrzymał notatkę :_
Tokens: 1____ 2____ 3_________ 4_____ 5____ 6____ 7_____ 8______ 9 10 11 12__ 13_ 14_____ 15 16_______ 17______ 18_______ 19______ 20_____ 21

Chunks:
  TruePositive nam [3,3] = Mraczewski (confidence=1.00)
  TruePositive nam [18,18] = Rzeckiego (confidence=1.00)

(ChunkerEvaluator) Sentence #308 from 00101610 from sent11

Text  : " Był na Hugonotach w ósmym rzędzie krzeseł z niejaką Matyldą ?_ ?_ ?_ "_
Tokens: 1 2__ 3_ 4_________ 5 6____ 7______ 8______ 9 10_____ 11_____ 12 13 14 15

Chunks:
  TruePositive nam [4,4] = Hugonotach (confidence=0.97)
  FalsePositive nam [8,11] = krzeseł z niejaką Matyldą (confidence=0.47) (incorrect boundry)
  FalseNegative nam [11,11] = Matyldą

(ChunkerEvaluator) Sentence #309 from 00101610 from sent12

Text  : Na pociechę mógł by sobie powiedzieć , że w tym samym katalogu równie posiadają notatki dwaj inni ._
Tokens: 1_ 2_______ 3___ 4_ 5____ 6_________ 7 8_ 9 10_ 11___ 12______ 13____ 14_______ 15_____ 16__ 17__ 18

Chunks:

(ChunkerEvaluator) Sentence #310 from 00101610 from sent13

Text  : jego koledzy , a także inkasent , posłańcy , nawet —_ służący Paweł ._
Tokens: 1___ 2______ 3 4 5____ 6_______ 7 8_______ 9 10___ 11 12_____ 13___ 14

Chunks:
  TruePositive nam [13,13] = Paweł (confidence=1.00)

(ChunkerEvaluator) Sentence #311 from 00101610 from sent14

Text  : Skąd Rzecki znał podobne szczegóły z życia swych współpracowników ?_
Tokens: 1___ 2_____ 3___ 4______ 5________ 6 7____ 8____ 9_______________ 10

Chunks:
  TruePositive nam [2,2] = Rzecki (confidence=0.99)

(ChunkerEvaluator) Sentence #312 from 00101610 from sent15

Text  : Jest to tajemnica , z którą przed nikim się nie zwierzał ._
Tokens: 1___ 2_ 3________ 4 5 6____ 7____ 8____ 9__ 10_ 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #313 from 00101610 from sent16

Text  : Około pierwszej w południe pan Ignacy , zdawszy kasę Lisieckiemu ,_ któremu pomimo ciągłych sporów ufał najbardziej ,_ wymykał się do swego pokoiku ,_ ażeby zjeść obiad przyniesiony z_ restauracji ;_ Współcześnie z_ nim wychodził Klejn i_ wracał do sklepu o_ drugiej ;_ potem obaj z_ Rzeckim zostawali w_ sklepie ,_ a_ Lisiecki i_ Mraczewski szli na obiad ._
Tokens: 1____ 2________ 3 4_______ 5__ 6_____ 7 8______ 9___ 10_________ 11 12_____ 13____ 14______ 15____ 16__ 17_________ 18 19_____ 20_ 21 22___ 23_____ 24 25___ 26___ 27___ 28__________ 29 30_________ 31 32__________ 33 34_ 35_______ 36___ 37 38____ 39 40____ 41 42_____ 43 44___ 45__ 46 47_____ 48_______ 49 50_____ 51 52 53______ 54 55________ 56__ 57 58___ 59

Chunks:
  TruePositive nam [6,6] = Ignacy (confidence=1.00)
  TruePositive nam [10,10] = Lisieckiemu (confidence=0.99)
  TruePositive nam [36,36] = Klejn (confidence=0.92)
  TruePositive nam [47,47] = Rzeckim (confidence=1.00)
  TruePositive nam [53,53] = Lisiecki (confidence=1.00)
  TruePositive nam [55,55] = Mraczewski (confidence=1.00)

(ChunkerEvaluator) Sentence #314 from 00101610 from sent17

Text  : O trzeciej znowu wszyscy byli na miejscu .
Tokens: 1 2_______ 3____ 4______ 5___ 6_ 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #315 from 00101610 from sent18

Text  : O ósmej wieczór zamykano sklep ; subiekci rozchodzili się i_ zostawał tylko Rzecki ._
Tokens: 1 2____ 3______ 4_______ 5____ 6 7_______ 8__________ 9__ 10 11______ 12___ 13____ 14

Chunks:
  TruePositive nam [13,13] = Rzecki (confidence=1.00)

(ChunkerEvaluator) Sentence #316 from 00101610 from sent19

Text  : Robił dzienny rachunek , sprawdzał kasę , układał plan czynności na jutro i_ przypominał sobie :_ czy zrobiono wszystko ,_ co wypadało na dziś ._
Tokens: 1____ 2______ 3_______ 4 5________ 6___ 7 8______ 9___ 10_______ 11 12___ 13 14_________ 15___ 16 17_ 18______ 19______ 20 21 22______ 23 24__ 25

Chunks:

(ChunkerEvaluator) Sentence #317 from 00101610 from sent20

Text  : Każdą zaniedbaną sprawę opłacał długą bezsennością i smętnymi marzeniami na temat ruiny sklepu ,_ stanowczego upadku Napoleonidów i_ tego ,_ że wszystkie nadzieje ,_ jakie miał w_ życiu ,_ były tylko głupstwem ._
Tokens: 1____ 2_________ 3_____ 4______ 5____ 6___________ 7 8_______ 9_________ 10 11___ 12___ 13____ 14 15_________ 16____ 17__________ 18 19__ 20 21 22_______ 23______ 24 25___ 26__ 27 28___ 29 30__ 31___ 32_______ 33

Chunks:
  TruePositive nam [17,17] = Napoleonidów (confidence=0.67)

(ChunkerEvaluator) Sentence #318 from 00101610 from sent21

Text  : " Nic nie będzie !
Tokens: 1 2__ 3__ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #319 from 00101610 from sent22

Text  : Giniemy bez ratunku ! " — wzdychał przewracając się na twardej pościeli ._
Tokens: 1______ 2__ 3______ 4 5 6 7_______ 8___________ 9__ 10 11_____ 12______ 13

Chunks:

2017-06-14 20:10:11,298 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 22 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101658.xml
(ChunkerEvaluator) Sentence #320 from 00101658 from sent1

Text  : Na koniec chciała by m trochę powiedzieć o konsekwencji płacenia tych składek po drugiej stronie ,_ tzn ._ o_ świadczeniach emerytalno -_ rentowych ,_ bo myślę ,_ że bardzo rzadko o_ tym mówimy ,_ a_ warto o_ tym powiedzieć ._
Tokens: 1_ 2_____ 3______ 4_ 5 6_____ 7_________ 8 9___________ 10______ 11__ 12_____ 13 14_____ 15_____ 16 17_ 18 19 20___________ 21________ 22 23_______ 24 25 26___ 27 28 29____ 30____ 31 32_ 33____ 34 35 36___ 37 38_ 39________ 40

Chunks:

(ChunkerEvaluator) Sentence #321 from 00101658 from sent2

Text  : W 2006 r . przeciętne świadczenie z systemu ubezpieczeń społecznych –_ emerytura i_ renta –_ wynosiło 1214 zł ,_ ale w_ przypadku osób prowadzących działalność gospodarczą –_ 898 zł ._
Tokens: 1 2___ 3 4 5_________ 6__________ 7 8______ 9__________ 10_________ 11 12_______ 13 14___ 15 16______ 17__ 18 19 20_ 21 22_______ 23__ 24__________ 25_________ 26_________ 27 28_ 29 30

Chunks:
  TruePositive nam [18,18] = zł (confidence=0.99)
  TruePositive nam [29,29] = zł (confidence=0.97)

(ChunkerEvaluator) Sentence #322 from 00101658 from sent3

Text  : Przeciętna emerytura – 1310 zł , a w przypadku osób prowadzących działalność gospodarczą –_ 1073 zł ._
Tokens: 1_________ 2________ 3 4___ 5_ 6 7 8 9________ 10__ 11__________ 12_________ 13_________ 14 15__ 16 17

Chunks:
  TruePositive nam [5,5] = zł (confidence=0.96)
  TruePositive nam [16,16] = zł (confidence=0.99)

(ChunkerEvaluator) Sentence #323 from 00101658 from sent4

Text  : Renta z tytułu niezdolności do pracy – 989 zł ,_ w_ przypadku osób prowadzących działalność gospodarczą –_ 777 zł ._
Tokens: 1____ 2 3_____ 4___________ 5_ 6____ 7 8__ 9_ 10 11 12_______ 13__ 14__________ 15_________ 16_________ 17 18_ 19 20

Chunks:
  TruePositive nam [9,9] = zł (confidence=0.97)
  TruePositive nam [19,19] = zł (confidence=0.98)

(ChunkerEvaluator) Sentence #324 from 00101658 from sent5

Text  : Ogólnie jeżeli popatrzymy na to , jak wyglądały emerytury i_ renty ,_ to niemal 54 %_ osób prowadzących działalność gospodarczą pobiera emeryturę lub rentę w_ wysokości poniżej 800 zł ._
Tokens: 1______ 2_____ 3_________ 4_ 5_ 6 7__ 8________ 9________ 10 11___ 12 13 14____ 15 16 17__ 18__________ 19_________ 20_________ 21_____ 22_______ 23_ 24___ 25 26_______ 27_____ 28_ 29 30

Chunks:
  TruePositive nam [29,29] = zł (confidence=0.98)

(ChunkerEvaluator) Sentence #325 from 00101658 from sent6

Text  : Myślę więc , że o tym też musimy pamiętać ,_ pytając o_ składki na ubezpieczenia społeczne ._
Tokens: 1____ 2___ 3 4_ 5 6__ 7__ 8_____ 9_______ 10 11_____ 12 13_____ 14 15___________ 16_______ 17

Chunks:

(ChunkerEvaluator) Sentence #326 from 00101658 from sent7

Text  : Dziękuję bardzo .
Tokens: 1_______ 2_____ 3

Chunks:

(ChunkerEvaluator) Sentence #327 from 00101658 from sent8

Text  : Wicemarszałek Jarosław Kalinowski :
Tokens: 1____________ 2_______ 3_________ 4

Chunks:
  TruePositive nam [2,3] = Jarosław Kalinowski (confidence=1.00)

(ChunkerEvaluator) Sentence #328 from 00101658 from sent9

Text  : Dziękuję bardzo , pani minister .
Tokens: 1_______ 2_____ 3 4___ 5_______ 6

Chunks:

(ChunkerEvaluator) Sentence #329 from 00101658 from sent10

Text  : Pani poseł Lidia Staroń , rozumiem , że pragnie zadać pytanie uzupełniające ;_ ale już tym razem w_ granicach limitu ._
Tokens: 1___ 2____ 3____ 4_____ 5 6_______ 7 8_ 9______ 10___ 11_____ 12___________ 13 14_ 15_ 16_ 17___ 18 19_______ 20____ 21

Chunks:
  TruePositive nam [3,4] = Lidia Staroń (confidence=1.00)

(ChunkerEvaluator) Sentence #330 from 00101658 from sent11

Text  : Poseł Lidia Staroń :
Tokens: 1____ 2____ 3_____ 4

Chunks:
  TruePositive nam [2,3] = Lidia Staroń (confidence=1.00)

(ChunkerEvaluator) Sentence #331 from 00101658 from sent12

Text  : Tak , tak , postaram się bardzo krótko .
Tokens: 1__ 2 3__ 4 5_______ 6__ 7_____ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #332 from 00101658 from sent13

Text  : Pierwsza kwestia : oczywiście porównywała m tylko składki z podatkiem ,_ które są ściągane proporcjonalnie ,_ absolutnie nie mieszając tego ._
Tokens: 1_______ 2______ 3 4_________ 5__________ 6 7____ 8______ 9 10_______ 11 12___ 13 14______ 15_____________ 16 17________ 18_ 19_______ 20__ 21

Chunks:

(ChunkerEvaluator) Sentence #333 from 00101658 from sent14

Text  : Uważam w ten sposób : co komu z emerytury ,_ jeżeli on nie jest w_ stanie zapłacić teraz tej składki ,_ bo ona przewyższa jego możliwości ._
Tokens: 1_____ 2 3__ 4_____ 5 6_ 7___ 8 9________ 10 11____ 12 13_ 14__ 15 16____ 17______ 18___ 19_ 20_____ 21 22 23_ 24________ 25__ 26________ 27

Chunks:

(ChunkerEvaluator) Sentence #334 from 00101658 from sent15

Text  : Jeżeli państwo nie gwarantuje utrzymania w przypadku pracy , to nie może karać za uzyskiwanie niskich dochodów ._
Tokens: 1_____ 2______ 3__ 4_________ 5_________ 6 7________ 8____ 9 10 11_ 12__ 13___ 14 15_________ 16_____ 17______ 18

Chunks:

(ChunkerEvaluator) Sentence #335 from 00101658 from sent16

Text  : I tutaj chciała by m tylko zauważyć , że instytucja publiczna powołana dla dobra obywateli jakby wybiera określoną grupę o_ niskich dochodach ,_ podczas gdy w_ grupie o_ znacznie wyższych dochodach –_ i_ tu chciała by m_ wspomnieć choćby o_ działalności rolniczej ,_ o_ KRUS
Tokens: 1 2____ 3______ 4_ 5 6____ 7_______ 8 9_ 10________ 11_______ 12______ 13_ 14___ 15_______ 16___ 17_____ 18_______ 19___ 20 21_____ 22_______ 23 24_____ 25_ 26 27____ 28 29______ 30______ 31_______ 32 33 34 35_____ 36 37 38_______ 39____ 40 41__________ 42_______ 43 44 45__

Chunks:
  TruePositive nam [45,45] = KRUS (confidence=0.98)

(ChunkerEvaluator) Sentence #336 from 00101658 from sent17

Text  : Tej grupie , znajdującej się w innym sektorze , pozwala się płacić niższe składki na ubezpieczenia społeczne i_ tym samym ,_ w_ moim przekonaniu ,_ łamie się art ._ 32 ust ._ 1_ konstytucji ._
Tokens: 1__ 2_____ 3 4__________ 5__ 6 7____ 8_______ 9 10_____ 11_ 12____ 13____ 14_____ 15 16___________ 17_______ 18 19_ 20___ 21 22 23__ 24_________ 25 26___ 27_ 28_ 29 30 31_ 32 33 34_________ 35

Chunks:

(ChunkerEvaluator) Sentence #337 from 00101658 from sent18

Text  : Chciała by m zapytać : czy nie może być tak ,_ że podstawą wymiaru składek dla tej grupy powinien być rzeczywisty dochód osiągany przez płatnika ,_ do osiągnięcia 60 %_ średniej krajowej ?_
Tokens: 1______ 2_ 3 4______ 5 6__ 7__ 8___ 9__ 10_ 11 12 13______ 14_____ 15_____ 16_ 17_ 18___ 19______ 20_ 21_________ 22____ 23______ 24___ 25______ 26 27 28_________ 29 30 31______ 32______ 33

Chunks:

(ChunkerEvaluator) Sentence #338 from 00101658 from sent19

Text  : Czy takie rozwiązanie było by możliwe ?
Tokens: 1__ 2____ 3__________ 4___ 5_ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #339 from 00101658 from sent20

Text  : Wicemarszałek Jarosław Kalinowski :
Tokens: 1____________ 2_______ 3_________ 4

Chunks:
  TruePositive nam [2,3] = Jarosław Kalinowski (confidence=1.00)

(ChunkerEvaluator) Sentence #340 from 00101658 from sent21

Text  : Dziękuję bardzo .
Tokens: 1_______ 2_____ 3

Chunks:

(ChunkerEvaluator) Sentence #341 from 00101658 from sent22

Text  : Odpowiedzi udzieli pani minister Agnieszka Chłoń - Domińczak , bardzo proszę ._
Tokens: 1_________ 2______ 3___ 4_______ 5________ 6____ 7 8________ 9 10____ 11____ 12

Chunks:
  TruePositive nam [5,8] = Agnieszka Chłoń - Domińczak (confidence=1.00)

(ChunkerEvaluator) Sentence #342 from 00101658 from sent23

Text  : Podsekretarz Stanu w Ministerstwie Pracy i Polityki Społecznej Agnieszka Chłoń -_ Domińczak :_
Tokens: 1___________ 2____ 3 4____________ 5____ 6 7_______ 8_________ 9________ 10___ 11 12_______ 13

Chunks:
  TruePositive nam [9,12] = Agnieszka Chłoń - Domińczak (confidence=0.64)
  FalsePositive nam [4,5] = Ministerstwie Pracy (confidence=1.00) (incorrect boundry)
  FalsePositive nam [7,8] = Polityki Społecznej (confidence=0.59) (incorrect boundry)
  FalseNegative nam [4,8] = Ministerstwie Pracy i Polityki Społecznej

2017-06-14 20:10:11,420 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 23 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101767.xml
(ChunkerEvaluator) Sentence #343 from 00101767 from sent1

Text  : W odstępie kilku dni pojawiły się dwie zupełnie sprzeczne diagnozy wpływu kryzysu na wolne oprogramowanie i_ wolną kulturę ._
Tokens: 1 2_______ 3____ 4__ 5_______ 6__ 7___ 8_______ 9________ 10______ 11____ 12_____ 13 14___ 15____________ 16 17___ 18_____ 19

Chunks:

(ChunkerEvaluator) Sentence #344 from 00101767 from sent2

Text  : W narożniku czerwonym , po stronie popytu , szef Red Hata Jim Whitehurst widzi te wszystkie zamówienia na oprogramowanie bez opłat licencyjnych ._
Tokens: 1 2________ 3________ 4 5_ 6______ 7_____ 8 9___ 10_ 11__ 12_ 13________ 14___ 15 16_______ 17________ 18 19____________ 20_ 21___ 22__________ 23

Chunks:
  TruePositive nam [10,11] = Red Hata (confidence=1.00)
  TruePositive nam [12,13] = Jim Whitehurst (confidence=0.88)

(ChunkerEvaluator) Sentence #345 from 00101767 from sent3

Text  : W narożniku czarnym , po stronie podaży , dyżurny krytyk Web 2_ ._ 0_ ,_ Andrew Keen ,_ z_ wizją bezrobotnych pożerających ostatnie myszki ._
Tokens: 1 2________ 3______ 4 5_ 6______ 7_____ 8 9______ 10____ 11_ 12 13 14 15 16____ 17__ 18 19 20___ 21__________ 22__________ 23______ 24____ 25

Chunks:
  TruePositive nam [11,14] = Web 2 . 0 (confidence=1.00)
  TruePositive nam [16,17] = Andrew Keen (confidence=1.00)

(ChunkerEvaluator) Sentence #346 from 00101767 from sent4

Text  : W skrócie : popyt na " darmowe " towary się zwiększy ,_ bo trzeba ciąć koszty (_ tak mówi Whitehurst )_ ,_ a_ podaż pracowników chętnych do poświęcania swojego czasu się zmniejszy ,_ bo ludzie poznają wartość swojej pracy (_ tak mówi Keen )_ ._
Tokens: 1 2______ 3 4____ 5_ 6 7______ 8 9_____ 10_ 11______ 12 13 14____ 15__ 16____ 17 18_ 19__ 20________ 21 22 23 24___ 25_________ 26______ 27 28_________ 29_____ 30___ 31_ 32_______ 33 34 35____ 36_____ 37_____ 38____ 39___ 40 41_ 42__ 43__ 44 45

Chunks:
  TruePositive nam [20,20] = Whitehurst (confidence=1.00)
  TruePositive nam [43,43] = Keen (confidence=0.99)

(ChunkerEvaluator) Sentence #347 from 00101767 from sent5

Text  : Czyli Red Hat będzie miał więcej zamówień , ale nikt mu za darmo już nie pomoże ._
Tokens: 1____ 2__ 3__ 4_____ 5___ 6_____ 7_______ 8 9__ 10__ 11 12 13___ 14_ 15_ 16____ 17

Chunks:
  TruePositive nam [2,3] = Red Hat (confidence=0.79)

(ChunkerEvaluator) Sentence #348 from 00101767 from sent6

Text  : Keen zaczyna po swojemu od błędnego założenia - że darmowa praca w_ ramach wolnego oprogramowania ,_ wolnej kultury i_ Web 2_ ._ 0_ pozbawiona jest wartości ,_ bo nikt nie płaci za nią pieniędzmi ,_ a_ ludzie pracują bez sensu za darmo ,_ bo w_ czasach dobrobytu nisko cenią pracę i_ pieniądze (_ jest to jakieś alternatywne wytłumaczenie dla recesji -_ ludziom przewraca się w_ głowach i_ kiepsko pracują )_ ,_ więc są skłonni pisać hasła do Wikipedii ._
Tokens: 1___ 2______ 3_ 4______ 5_ 6_______ 7________ 8 9_ 10_____ 11___ 12 13____ 14_____ 15____________ 16 17____ 18_____ 19 20_ 21 22 23 24________ 25__ 26______ 27 28 29__ 30_ 31___ 32 33_ 34________ 35 36 37____ 38_____ 39_ 40___ 41 42___ 43 44 45 46_____ 47_______ 48___ 49___ 50___ 51 52_______ 53 54__ 55 56____ 57__________ 58___________ 59_ 60_____ 61 62_____ 63_______ 64_ 65 66_____ 67 68_____ 69_____ 70 71 72__ 73 74_____ 75___ 76___ 77 78_______ 79

Chunks:
  TruePositive nam [20,23] = Web 2 . 0 (confidence=1.00)
  TruePositive nam [78,78] = Wikipedii (confidence=1.00)
  FalseNegative nam [1,1] = Keen

(ChunkerEvaluator) Sentence #349 from 00101767 from sent7

Text  : I można było by tutaj wesoło popastwić się nad jednowymiarowym punktem widzenia Keena ,_ złośliwa notka na poniedziałek ,_ w_ końcu tylko Bill Gates to lepszy temat do żartów ._
Tokens: 1 2____ 3___ 4_ 5____ 6_____ 7________ 8__ 9__ 10_____________ 11_____ 12______ 13___ 14 15______ 16___ 17 18__________ 19 20 21___ 22___ 23__ 24___ 25 26____ 27___ 28 29____ 30

Chunks:
  TruePositive nam [13,13] = Keena (confidence=1.00)
  TruePositive nam [23,24] = Bill Gates (confidence=1.00)

(ChunkerEvaluator) Sentence #350 from 00101767 from sent8

Text  : Jednak im dłużej pisał em notkę , tym bardziej szła ona do kosza ._
Tokens: 1_____ 2_ 3_____ 4____ 5_ 6____ 7 8__ 9_______ 10__ 11_ 12 13___ 14

Chunks:

(ChunkerEvaluator) Sentence #351 from 00101767 from sent9

Text  : I poszła .
Tokens: 1 2_____ 3

Chunks:

(ChunkerEvaluator) Sentence #352 from 00101767 from sent10

Text  : Nie to , żeby m miał teraz się z diagnozą Keena zgodzić ,_ produkcja partnerska nie zniknie ,_ ale -_ jeśli rzeczywiście dojdzie do głębokiej recesji -_ coś musi się zmienić ._
Tokens: 1__ 2_ 3 4___ 5 6___ 7____ 8__ 9 10______ 11___ 12_____ 13 14_______ 15________ 16_ 17_____ 18 19_ 20 21___ 22__________ 23_____ 24 25_______ 26_____ 27 28_ 29__ 30_ 31_____ 32

Chunks:
  TruePositive nam [11,11] = Keena (confidence=0.97)

(ChunkerEvaluator) Sentence #353 from 00101767 from sent11

Text  : Produkcja partnerska opiera się na kilku elementach , uproszczony podział może być taki :_
Tokens: 1________ 2_________ 3_____ 4__ 5_ 6____ 7_________ 8 9__________ 10_____ 11__ 12_ 13__ 14

Chunks:

(ChunkerEvaluator) Sentence #354 from 00101767 from sent12

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #355 from 00101767 from sent13

Text  : Nadmiar mocy obliczeniowych i pojemności sieci w wielu krajach ._
Tokens: 1______ 2___ 3_____________ 4 5_________ 6____ 7 8____ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #356 from 00101767 from sent14

Text  : Komputer włączony bez przerwy i bez przerwy przesyłający dane w_ internecie jest normą :_ przy założeniu ,_ że nie jest to obciążeniem dla budżetu użytkownika ._
Tokens: 1_______ 2_______ 3__ 4______ 5 6__ 7______ 8___________ 9___ 10 11________ 12__ 13___ 14 15__ 16_______ 17 18 19_ 20__ 21 22_________ 23_ 24_____ 25_________ 26

Chunks:
  TruePositive nam [11,11] = internecie (confidence=0.85)

(ChunkerEvaluator) Sentence #357 from 00101767 from sent15

Text  : Niby drobiazg , ale projekty , które najbardziej korzystają z_ tego nadmiaru (_ wszelkie WielkieObliczenia @_ home albo torrenty )_ polegają głównie na ilości i_ każde jej zmniejszenie będzie bolesne ._
Tokens: 1___ 2_______ 3 4__ 5_______ 6 7____ 8__________ 9_________ 10 11__ 12______ 13 14______ 15_______________ 16 17__ 18__ 19______ 20 21______ 22_____ 23 24____ 25 26___ 27_ 28__________ 29____ 30_____ 31

Chunks:

(ChunkerEvaluator) Sentence #358 from 00101767 from sent16

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #359 from 00101767 from sent17

Text  : Opłacalność w porównaniu z innymi formami organizacji i ochrony praw własności (_ rynek ,_ firma )_ ._
Tokens: 1__________ 2 3_________ 4 5_____ 6______ 7__________ 8 9______ 10__ 11_______ 12 13___ 14 15___ 16 17

Chunks:

(ChunkerEvaluator) Sentence #360 from 00101767 from sent18

Text  : W przypadku gdy łatwo znaleźć dochody z innych źródeł ,_ budowanie typowej struktury organizacyjnej albo poszukiwanie ochrony (_ w_ prawie własności intelektualnej )_ może być rzeczywiście mało opłacalne w_ porównaniu z_ produkcją partnerską ._
Tokens: 1 2________ 3__ 4____ 5______ 6______ 7 8_____ 9_____ 10 11_______ 12_____ 13_______ 14____________ 15__ 16__________ 17_____ 18 19 20____ 21_______ 22____________ 23 24__ 25_ 26__________ 27__ 28_______ 29 30________ 31 32_______ 33________ 34

Chunks:

(ChunkerEvaluator) Sentence #361 from 00101767 from sent19

Text  : Jednak nietrudno sobie wyobrazić , że dla wielu uczestników produkcji partnerskiej ten rachunek wyjdzie zupełnie inaczej w_ warunkach walki o_ przetrwanie ._
Tokens: 1_____ 2________ 3____ 4________ 5 6_ 7__ 8____ 9__________ 10_______ 11__________ 12_ 13______ 14_____ 15______ 16_____ 17 18_______ 19___ 20 21_________ 22

Chunks:

2017-06-14 20:10:11,540 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 24 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101813.xml
(ChunkerEvaluator) Sentence #362 from 00101813 from sent1

Text  : Bank znów będzie czynny do godz . 18 .
Tokens: 1___ 2___ 3_____ 4_____ 5_ 6___ 7 8_ 9

Chunks:

(ChunkerEvaluator) Sentence #363 from 00101813 from sent2

Text  : Do naszej redakcji zadzwonił zbulwersowany Czytelnik .
Tokens: 1_ 2_____ 3_______ 4________ 5____________ 6________ 7

Chunks:
  FalsePositive nam [6,6] = Czytelnik (confidence=0.94) (incorrect boundry)

(ChunkerEvaluator) Sentence #364 from 00101813 from sent3

Text  : - Niedawno zamknięta została jedna z placówek banku PKO BP przy ul ._ Mielczarskiego -_ powiedział mężczyzna (_ imię i_ nazwisko do wiadomości redakcji )_ ._
Tokens: 1 2_______ 3________ 4______ 5____ 6 7_______ 8____ 9__ 10 11__ 12 13 14____________ 15 16________ 17_______ 18 19__ 20 21______ 22 23________ 24______ 25 26

Chunks:
  TruePositive nam [9,10] = PKO BP (confidence=1.00)
  TruePositive nam [14,14] = Mielczarskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #365 from 00101813 from sent4

Text  : - Co prawda przeniesiono ją w inne miejsce , jednak skrócono godziny otwarcia banku ._
Tokens: 1 2_ 3_____ 4___________ 5_ 6 7___ 8______ 9 10____ 11______ 12_____ 13______ 14___ 15

Chunks:

(ChunkerEvaluator) Sentence #366 from 00101813 from sent5

Text  : Ozorkowianin uważa , że było to złe posunięcie .
Tokens: 1___________ 2____ 3 4_ 5___ 6_ 7__ 8_________ 9

Chunks:
  TruePositive nam [1,1] = Ozorkowianin (confidence=0.97)

(ChunkerEvaluator) Sentence #367 from 00101813 from sent6

Text  : - Teraz bank czynny jest tylko do godz . 17 -_ mówi ._
Tokens: 1 2____ 3___ 4_____ 5___ 6____ 7_ 8___ 9 10 11 12__ 13

Chunks:

(ChunkerEvaluator) Sentence #368 from 00101813 from sent7

Text  : - O tej porze wiele osób dopiero wychodzi z pracy i_ nie ma możliwości załatwienia jakiejkolwiek sprawy ._
Tokens: 1 2 3__ 4____ 5____ 6___ 7______ 8_______ 9 10___ 11 12_ 13 14________ 15_________ 16___________ 17____ 18

Chunks:

(ChunkerEvaluator) Sentence #369 from 00101813 from sent8

Text  : Elżbieta Jóźwiakowska z PKO BP informuje , że godziny pracy przeniesionej placówki zostały zmienione po analizie natężenia ruchu dokonanej w_ poprzedniej siedzibie ._
Tokens: 1_______ 2___________ 3 4__ 5_ 6________ 7 8_ 9______ 10___ 11___________ 12______ 13_____ 14_______ 15 16______ 17_______ 18___ 19_______ 20 21_________ 22_______ 23

Chunks:
  TruePositive nam [1,2] = Elżbieta Jóźwiakowska (confidence=1.00)
  TruePositive nam [4,5] = PKO BP (confidence=0.99)

(ChunkerEvaluator) Sentence #370 from 00101813 from sent9

Text  : - W nowej zwiększono obsadę personalną , by spełnić oczekiwania mieszkańców -_ dodaje Jóźwiakowska ._
Tokens: 1 2 3____ 4_________ 5_____ 6_________ 7 8_ 9______ 10_________ 11_________ 12 13____ 14__________ 15

Chunks:
  TruePositive nam [14,14] = Jóźwiakowska (confidence=0.99)

(ChunkerEvaluator) Sentence #371 from 00101813 from sent10

Text  : - Jednak sygnały od obecnych klientów spowodowały , że już od czerwca placówka znów będzie czynna do godz ._ 18 ._
Tokens: 1 2_____ 3______ 4_ 5_______ 6_______ 7__________ 8 9_ 10_ 11 12_____ 13______ 14__ 15____ 16____ 17 18__ 19 20 21

Chunks:

2017-06-14 20:10:11,580 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 25 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101863.xml
(ChunkerEvaluator) Sentence #372 from 00101863 from sent1

Text  : Bydgoszczanie w kolejnym ligowym spotkaniu zmierzą się na wyjeździe z_ Bzurą ,_ która po dobrym początku rozgrywek z_ meczu na mecz gra coraz słabiej ._
Tokens: 1____________ 2 3_______ 4______ 5________ 6______ 7__ 8_ 9________ 10 11___ 12 13___ 14 15____ 16______ 17_______ 18 19___ 20 21__ 22_ 23___ 24_____ 25

Chunks:
  TruePositive nam [11,11] = Bzurą (confidence=1.00)
  FalseNegative nam [1,1] = Bydgoszczanie

(ChunkerEvaluator) Sentence #373 from 00101863 from sent2

Text  : Mecz jak zwykle rozpocznie się o godz . 18 ._
Tokens: 1___ 2__ 3_____ 4_________ 5__ 6 7___ 8 9_ 10

Chunks:

(ChunkerEvaluator) Sentence #374 from 00101863 from sent3

Text  : Serwis Ozorków . net przeprowadzi transmisję na żywo z tego spotkania ._
Tokens: 1_____ 2______ 3 4__ 5___________ 6_________ 7_ 8___ 9 10__ 11_______ 12

Chunks:
  FalsePositive nam [2,2] = Ozorków (confidence=0.71) (incorrect boundry)
  FalseNegative nam [2,4] = Ozorków . net

2017-06-14 20:10:11,593 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 26 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101881.xml
(ChunkerEvaluator) Sentence #375 from 00101881 from sent1

Text  : Drugie Eliminacje do Mistrzostw Polski spalinowych modeli torowych rozegrano na asfaltowym torze w_ Nowym Sączu ._
Tokens: 1_____ 2_________ 3_ 4_________ 5_____ 6__________ 7_____ 8_______ 9________ 10 11________ 12___ 13 14___ 15___ 16

Chunks:
  TruePositive nam [14,15] = Nowym Sączu (confidence=1.00)
  FalsePositive nam [2,2] = Eliminacje (confidence=0.83) (incorrect boundry)
  FalsePositive nam [4,5] = Mistrzostw Polski (confidence=0.97) (incorrect boundry)
  FalseNegative nam [2,8] = Eliminacje do Mistrzostw Polski spalinowych modeli torowych

(ChunkerEvaluator) Sentence #376 from 00101881 from sent2

Text  : Zawody pod względem organizacyjnym przebiegły bez zarzutu , dopisała również pogoda ._
Tokens: 1_____ 2__ 3_______ 4_____________ 5_________ 6__ 7______ 8 9_______ 10_____ 11____ 12

Chunks:

(ChunkerEvaluator) Sentence #377 from 00101881 from sent3

Text  : W tym roku do klas IC - 10 oraz IC -_ 8_ Sport doszła nowa klasa IC -_ 10 Start ,_ przeznaczona dla zawodników ,_ którzy dopiero rozpoczynają starty torowymi modelami spalinowymi ._
Tokens: 1 2__ 3___ 4_ 5___ 6_ 7 8_ 9___ 10 11 12 13___ 14____ 15__ 16___ 17 18 19 20___ 21 22__________ 23_ 24________ 25 26____ 27_____ 28__________ 29____ 30______ 31______ 32_________ 33

Chunks:
  FalsePositive nam [6,8] = IC - 10 (confidence=0.71) (incorrect boundry)
  FalsePositive nam [10,13] = IC - 8 Sport (confidence=0.82) (incorrect boundry)
  FalsePositive nam [17,20] = IC - 10 Start (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #378 from 00101881 from sent4

Text  : Do startu w klasie IC - 10 Start przystąpiło 9_ zawodników ,_ reprezentujących wszystkie kategorie wiekowe ._
Tokens: 1_ 2_____ 3 4_____ 5_ 6 7_ 8____ 9__________ 10 11________ 12 13______________ 14_______ 15_______ 16_____ 17

Chunks:

(ChunkerEvaluator) Sentence #379 from 00101881 from sent5

Text  : Po eliminacjach na pierwszym miejscu uplasował się Juliusz Wolak z_ Nowego Sącza ,_ startujący modelem RS4 3_ Evo ze stajni HPI ._
Tokens: 1_ 2___________ 3_ 4________ 5______ 6________ 7__ 8______ 9____ 10 11____ 12___ 13 14________ 15_____ 16_ 17 18_ 19 20____ 21_ 22

Chunks:
  TruePositive nam [8,9] = Juliusz Wolak (confidence=1.00)
  TruePositive nam [11,12] = Nowego Sącza (confidence=1.00)
  TruePositive nam [16,18] = RS4 3 Evo (confidence=1.00)
  TruePositive nam [21,21] = HPI (confidence=0.99)

(ChunkerEvaluator) Sentence #380 from 00101881 from sent6

Text  : Julek prowadził również w finale , jednak problemy techniczne z_ modelem wyeliminowały go z_ rywalizacji w_ 12 minucie wyścigu ._
Tokens: 1____ 2________ 3______ 4 5_____ 6 7_____ 8_______ 9_________ 10 11_____ 12___________ 13 14 15_________ 16 17 18_____ 19_____ 20

Chunks:
  TruePositive nam [1,1] = Julek (confidence=0.90)

(ChunkerEvaluator) Sentence #381 from 00101881 from sent7

Text  : Ostatecznie zwyciężył Gracjan Borecki z Rudy Śląskiej , przed Marcinem Górą z_ Nowego Sącza i_ Jakubem Różyckim z_ Bolesławca ._
Tokens: 1__________ 2________ 3______ 4______ 5 6___ 7_______ 8 9____ 10______ 11__ 12 13____ 14___ 15 16_____ 17______ 18 19________ 20

Chunks:
  TruePositive nam [3,4] = Gracjan Borecki (confidence=1.00)
  TruePositive nam [6,7] = Rudy Śląskiej (confidence=1.00)
  TruePositive nam [10,11] = Marcinem Górą (confidence=1.00)
  TruePositive nam [13,14] = Nowego Sącza (confidence=0.87)
  TruePositive nam [16,17] = Jakubem Różyckim (confidence=1.00)
  TruePositive nam [19,19] = Bolesławca (confidence=0.98)

(ChunkerEvaluator) Sentence #382 from 00101881 from sent8

Text  : W klasie IC - 10 rywalizowało 13 zawodników , przede wszystkim seniorów ._
Tokens: 1 2_____ 3_ 4 5_ 6___________ 7_ 8_________ 9 10____ 11_______ 12______ 13

Chunks:

(ChunkerEvaluator) Sentence #383 from 00101881 from sent9

Text  : Jedynym młodzikiem w tej klasie był Jakub Różycki .
Tokens: 1______ 2_________ 3 4__ 5_____ 6__ 7____ 8______ 9

Chunks:
  TruePositive nam [7,8] = Jakub Różycki (confidence=1.00)

(ChunkerEvaluator) Sentence #384 from 00101881 from sent10

Text  : Po eliminacjach prowadził starujący modelem Serpent 720 aktualny Mistrz Polski -_ Artur Dzierżęcki ._
Tokens: 1_ 2___________ 3________ 4________ 5______ 6______ 7__ 8_______ 9_____ 10____ 11 12___ 13________ 14

Chunks:
  TruePositive nam [12,13] = Artur Dzierżęcki (confidence=1.00)
  FalsePositive nam [6,6] = Serpent (confidence=1.00) (incorrect boundry)
  FalsePositive nam [9,10] = Mistrz Polski (confidence=0.81) (incorrect boundry)
  FalseNegative nam [6,7] = Serpent 720
  FalseNegative nam [10,10] = Polski

(ChunkerEvaluator) Sentence #385 from 00101881 from sent11

Text  : Bieg finałowy był bardzo wyrównany , różnice między wynikami osiągniętymi przez pierwszych trzech zawodników były minimalne ._
Tokens: 1___ 2_______ 3__ 4_____ 5________ 6 7______ 8_____ 9_______ 10__________ 11___ 12________ 13____ 14________ 15__ 16_______ 17

Chunks:

(ChunkerEvaluator) Sentence #386 from 00101881 from sent12

Text  : Zwyciężył Artur Dzierżęcki ( 135 okrążeń ) przed Bogdanem Bieleckim (_ 134 okrążenia )_ i_ Jakubem Lipińskim (_ 132 okrążenia )_ ._
Tokens: 1________ 2____ 3_________ 4 5__ 6______ 7 8____ 9_______ 10_______ 11 12_ 13_______ 14 15 16_____ 17_______ 18 19_ 20_______ 21 22

Chunks:
  TruePositive nam [2,3] = Artur Dzierżęcki (confidence=1.00)
  TruePositive nam [9,10] = Bogdanem Bieleckim (confidence=1.00)
  TruePositive nam [16,17] = Jakubem Lipińskim (confidence=1.00)

(ChunkerEvaluator) Sentence #387 from 00101881 from sent13

Text  : Klasa IC - 8 była również zdominowana przez seniorów ._
Tokens: 1____ 2_ 3 4 5___ 6______ 7__________ 8____ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #388 from 00101881 from sent14

Text  : Do startu przystąpiło 15 zawodników .
Tokens: 1_ 2_____ 3__________ 4_ 5_________ 6

Chunks:

(ChunkerEvaluator) Sentence #389 from 00101881 from sent15

Text  : Po biegach eliminacyjnych prowadził Rafał Zeljaś .
Tokens: 1_ 2______ 3_____________ 4________ 5____ 6_____ 7

Chunks:
  TruePositive nam [5,6] = Rafał Zeljaś (confidence=1.00)

(ChunkerEvaluator) Sentence #390 from 00101881 from sent16

Text  : Zwyciężył on również w finale przejeżdżając 154 okrążenia .
Tokens: 1________ 2_ 3______ 4 5_____ 6____________ 7__ 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #391 from 00101881 from sent17

Text  : Drugie miejsce zajął Marcin Marczyk ( 151 okrążeń ) ,_ a_ trzecie Łukasz Oleńczak (_ 146 okrążeń )_ ._
Tokens: 1_____ 2______ 3____ 4_____ 5______ 6 7__ 8______ 9 10 11 12_____ 13____ 14______ 15 16_ 17_____ 18 19

Chunks:
  TruePositive nam [4,5] = Marcin Marczyk (confidence=1.00)
  TruePositive nam [13,14] = Łukasz Oleńczak (confidence=1.00)

2017-06-14 20:10:11,666 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 27 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101905.xml
(ChunkerEvaluator) Sentence #392 from 00101905 from sent1

Text  : Wyniki etapu określania wymagań na system informatyczny
Tokens: 1_____ 2____ 3_________ 4______ 5_ 6_____ 7____________

Chunks:

(ChunkerEvaluator) Sentence #393 from 00101905 from sent2

Text  : Wynikiem fazy określania wymagań na system informatyczny jest dokument zawierający następujące elementy :_
Tokens: 1_______ 2___ 3_________ 4______ 5_ 6_____ 7____________ 8___ 9_______ 10_________ 11_________ 12______ 13

Chunks:

(ChunkerEvaluator) Sentence #394 from 00101905 from sent3

Text  : Wprowadzenie – cele , zakres i kontekst systemu ; Opis wymagań funkcjonalnych ;_ Opis wymagań niefunkcjonalnych ;_ Opis ewolucji systemu ;_ Model logiczny systemu -_ opracowany przy użyciu ,_ np ._ UML Słownik terminów niejednoznacznych dla udziałowców przedsięwzięcia projektowego ._
Tokens: 1___________ 2 3___ 4 5_____ 6 7_______ 8______ 9 10__ 11_____ 12____________ 13 14__ 15_____ 16_______________ 17 18__ 19______ 20_____ 21 22___ 23______ 24_____ 25 26________ 27__ 28____ 29 30 31 32_ 33_____ 34______ 35_______________ 36_ 37_________ 38_____________ 39__________ 40

Chunks:
  FalsePositive nam [32,33] = UML Słownik (confidence=0.92) (incorrect boundry)
  FalseNegative nam [32,32] = UML

(ChunkerEvaluator) Sentence #395 from 00101905 from sent4

Text  : Dokument „ Wymagania na system informatyczny ” stanowi podstawę do realizacji dalszych prac projektowych nad systemem ,_ w_ tym do opracowania testów akceptacyjnych systemu ._
Tokens: 1_______ 2 3________ 4_ 5_____ 6____________ 7 8______ 9_______ 10 11________ 12______ 13__ 14__________ 15_ 16______ 17 18 19_ 20 21_________ 22____ 23____________ 24_____ 25

Chunks:
  FalseNegative nam [3,6] = Wymagania na system informatyczny

2017-06-14 20:10:11,690 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 28 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101946.xml
(ChunkerEvaluator) Sentence #396 from 00101946 from sent1

Text  : Dziennik Ustaw z 21 lutego 2002 Nr 14 poz ._ 128
Tokens: 1_______ 2____ 3 4_ 5_____ 6___ 7_ 8_ 9__ 10 11_

Chunks:
  TruePositive nam [1,2] = Dziennik Ustaw (confidence=0.99)

(ChunkerEvaluator) Sentence #397 from 00101946 from sent2

Text  : z dnia 15 lutego 2002 r .
Tokens: 1 2___ 3_ 4_____ 5___ 6 7

Chunks:

(ChunkerEvaluator) Sentence #398 from 00101946 from sent3

Text  : o zmianie ustawy o ujawnieniu pracy lub służby w organach bezpieczeństwa państwa lub współpracy z_ nimi w_ latach 1944 –_ 1990 osób pełniących funkcje publiczne oraz ustawy –_ Ordynacja wyborcza do Sejmu Rzeczypospolitej Polskiej i_ do Senatu Rzeczypospolitej Polskiej ._
Tokens: 1 2______ 3_____ 4 5_________ 6____ 7__ 8_____ 9 10______ 11____________ 12_____ 13_ 14________ 15 16__ 17 18____ 19__ 20 21__ 22__ 23________ 24_____ 25_______ 26__ 27____ 28 29_______ 30______ 31 32___ 33______________ 34______ 35 36 37____ 38______________ 39______ 40

Chunks:
  FalsePositive nam [32,32] = Sejmu (confidence=1.00) (incorrect boundry)
  FalsePositive nam [33,34] = Rzeczypospolitej Polskiej (confidence=0.79) (incorrect boundry)
  FalsePositive nam [37,39] = Senatu Rzeczypospolitej Polskiej (confidence=1.00) (incorrect boundry)
  FalseNegative nam [1,25] = o zmianie ustawy o ujawnieniu pracy lub służby w organach bezpieczeństwa państwa lub współpracy z nimi w latach 1944 – 1990 osób pełniących funkcje publiczne
  FalseNegative nam [29,39] = Ordynacja wyborcza do Sejmu Rzeczypospolitej Polskiej i do Senatu Rzeczypospolitej Polskiej

(ChunkerEvaluator) Sentence #399 from 00101946 from sent4

Text  : Art . 1 .
Tokens: 1__ 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #400 from 00101946 from sent5

Text  : W ustawie z dnia 11 kwietnia 1997 r . o_ ujawnieniu pracy lub służby w_ organach bezpieczeństwa państwa lub współpracy z_ nimi w_ latach 1944 -_ 1990 osób pełniących funkcje publiczne (_ Dz ._ U_ ._ z_ 1999 r_ ._ Nr 42 ,_ poz ._ 428 ,_ Nr 57 ,_ poz ._ 618 ,_ Nr 62 ,_ poz ._ 681 i_ Nr 63 ,_ poz ._ 701 oraz z_ 2000 r_ ._
Tokens: 1 2______ 3 4___ 5_ 6_______ 7___ 8 9 10 11________ 12___ 13_ 14____ 15 16______ 17____________ 18_____ 19_ 20________ 21 22__ 23 24____ 25__ 26 27__ 28__ 29________ 30_____ 31_______ 32 33 34 35 36 37 38__ 39 40 41 42 43 44_ 45 46_ 47 48 49 50 51_ 52 53_ 54 55 56 57 58_ 59 60_ 61 62 63 64 65_ 66 67_ 68__ 69 70__ 71 72

Chunks:
  TruePositive nam [33,36] = Dz . U . (confidence=1.00)
  FalseNegative nam [2,31] = ustawie z dnia 11 kwietnia 1997 r . o ujawnieniu pracy lub służby w organach bezpieczeństwa państwa lub współpracy z nimi w latach 1944 - 1990 osób pełniących funkcje publiczne

(ChunkerEvaluator) Sentence #401 from 00101946 from sent6

Text  : Nr 43 , poz . 488 i Nr 50 ,_ poz ._ 600 )_ wprowadza się następujące zmiany :_
Tokens: 1_ 2_ 3 4__ 5 6__ 7 8_ 9_ 10 11_ 12 13_ 14 15_______ 16_ 17_________ 18____ 19

Chunks:

(ChunkerEvaluator) Sentence #402 from 00101946 from sent7

Text  : 1 ) [ 1 ] dodaje się art . 4a w_ brzmieniu :_
Tokens: 1 2 3 4 5 6_____ 7__ 8__ 9 10 11 12_______ 13

Chunks:

(ChunkerEvaluator) Sentence #403 from 00101946 from sent8

Text  : " Art . 4a .
Tokens: 1 2__ 3 4_ 5

Chunks:

(ChunkerEvaluator) Sentence #404 from 00101946 from sent9

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #405 from 00101946 from sent10

Text  : Służbą w rozumieniu ustawy nie jest pełnienie jej w jednostkach ,_ o_ których mowa w_ art ._ 2_ ust ._ 1_ ,_ którego obowiązek wynikał z_ ustawy obowiązującej w_ tym czasie ._
Tokens: 1_____ 2 3_________ 4_____ 5__ 6___ 7________ 8__ 9 10_________ 11 12 13_____ 14__ 15 16_ 17 18 19_ 20 21 22 23_____ 24_______ 25_____ 26 27____ 28___________ 29 30_ 31____ 32

Chunks:

(ChunkerEvaluator) Sentence #406 from 00101946 from sent11

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #407 from 00101946 from sent12

Text  : Współpracą w rozumieniu ustawy nie jest działanie , które nie było wymierzone przeciwko kościołom lub innym związkom wyznaniowym ,_ opozycji demokratycznej ,_ niezależnym związkom zawodowym ,_ suwerennościowym aspiracjom Narodu Polskiego ._
Tokens: 1_________ 2 3_________ 4_____ 5__ 6___ 7________ 8 9____ 10_ 11__ 12________ 13_______ 14_______ 15_ 16___ 17______ 18_________ 19 20______ 21____________ 22 23_________ 24______ 25_______ 26 27______________ 28________ 29____ 30_______ 31

Chunks:
  FalsePositive nam [29,30] = Narodu Polskiego (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #408 from 00101946 from sent13

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #409 from 00101946 from sent14

Text  : Współpracą w rozumieniu ustawy nie jest działanie , które nie stwarzało zagrożenia dla wolności i_ praw człowieka i_ obywatela oraz dóbr osobistych innych osób ._
Tokens: 1_________ 2 3_________ 4_____ 5__ 6___ 7________ 8 9____ 10_ 11_______ 12________ 13_ 14______ 15 16__ 17_______ 18 19_______ 20__ 21__ 22________ 23____ 24__ 25

Chunks:

(ChunkerEvaluator) Sentence #410 from 00101946 from sent15

Text  : 4 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #411 from 00101946 from sent16

Text  : Współpracą w rozumieniu ustawy nie jest zbieranie lub przekazywanie informacji mieszczących się w_ zakresie zadań wywiadu ,_ kontrwywiadu i_ ochrony granic ._
Tokens: 1_________ 2 3_________ 4_____ 5__ 6___ 7________ 8__ 9____________ 10________ 11__________ 12_ 13 14______ 15___ 16_____ 17 18__________ 19 20_____ 21____ 22

Chunks:

(ChunkerEvaluator) Sentence #412 from 00101946 from sent17

Text  : 5 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #413 from 00101946 from sent18

Text  : Współpracą w rozumieniu ustawy nie jest współdziałanie pozorne lub uchylanie się od dostarczenia informacji pomimo formalnego dopełnienia czynności lub procedur wymaganych przez organ bezpieczeństwa państwa oczekujący współpracy ._ "_ ;_
Tokens: 1_________ 2 3_________ 4_____ 5__ 6___ 7_____________ 8______ 9__ 10_______ 11_ 12 13__________ 14________ 15____ 16________ 17_________ 18_______ 19_ 20______ 21________ 22___ 23___ 24____________ 25_____ 26________ 27________ 28 29 30

Chunks:

2017-06-14 20:10:11,769 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 29 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102119.xml
(ChunkerEvaluator) Sentence #414 from 00102119 from sent1

Text  : Pierwsze testy toru .
Tokens: 1_______ 2____ 3___ 4

Chunks:

(ChunkerEvaluator) Sentence #415 from 00102119 from sent2

Text  : Adam jeżdżąc modelem HPI Hellfire udowodnił , że dobrze ustawiony truggy 1_ :_ 8_ bez problemu radzi sobie na ciasnych zakrętach ._
Tokens: 1___ 2______ 3______ 4__ 5_______ 6________ 7 8_ 9_____ 10_______ 11____ 12 13 14 15_ 16______ 17___ 18___ 19 20______ 21_______ 22

Chunks:
  TruePositive nam [1,1] = Adam (confidence=1.00)
  FalsePositive nam [4,5] = HPI Hellfire (confidence=1.00) (incorrect boundry)
  FalseNegative nam [4,4] = HPI
  FalseNegative nam [5,5] = Hellfire

(ChunkerEvaluator) Sentence #416 from 00102119 from sent3

Text  : Nieco więcej kłopotu mieli Dorota , Hubert i Jarek jeżdżąc Hyperem 7_ ,_ ale wynikało to przede wszystkim z_ mniejszych umiejętności oraz nie do końca optymalnego ustawienia modelu ._
Tokens: 1____ 2_____ 3______ 4____ 5_____ 6 7_____ 8 9____ 10_____ 11_____ 12 13 14_ 15______ 16 17____ 18_______ 19 20________ 21__________ 22__ 23_ 24 25___ 26_________ 27________ 28____ 29

Chunks:
  TruePositive nam [5,5] = Dorota (confidence=0.99)
  TruePositive nam [7,7] = Hubert (confidence=1.00)
  TruePositive nam [9,9] = Jarek (confidence=1.00)
  TruePositive nam [11,12] = Hyperem 7 (confidence=1.00)

(ChunkerEvaluator) Sentence #417 from 00102119 from sent4

Text  : Adam jeździł równieź Rustlerem VXL z bezszczotkowym systemem Velineon ,_ zasilanym pakietem 11 ._ 1V ._
Tokens: 1___ 2______ 3______ 4________ 5__ 6 7_____________ 8_______ 9_______ 10 11_______ 12______ 13 14 15 16

Chunks:
  TruePositive nam [1,1] = Adam (confidence=1.00)
  TruePositive nam [4,5] = Rustlerem VXL (confidence=1.00)
  TruePositive nam [9,9] = Velineon (confidence=1.00)

(ChunkerEvaluator) Sentence #418 from 00102119 from sent5

Text  : Opanowanie modelu z napędem na tył , z silnikiem bezszczotkowym ,_ przy takim napięciu było niezłą sztuką ,_ ale frajda z_ jazdy była niesłychana ._
Tokens: 1_________ 2_____ 3 4______ 5_ 6__ 7 8 9________ 10____________ 11 12__ 13___ 14______ 15__ 16____ 17____ 18 19_ 20____ 21 22___ 23__ 24_________ 25

Chunks:

(ChunkerEvaluator) Sentence #419 from 00102119 from sent6

Text  : Testy pokazały , że tor nadaje się do jazdy ,_ ale parę rzeczy wymaga korekty ._
Tokens: 1____ 2_______ 3 4_ 5__ 6_____ 7__ 8_ 9____ 10 11_ 12__ 13____ 14____ 15_____ 16

Chunks:

(ChunkerEvaluator) Sentence #420 from 00102119 from sent7

Text  : Przede wszystkim ścianki oporowe hopek , wprawdzie zabezpieczają hopki przed rozsypywaniem się na boki ,_ ale są niebezpieczne dla modeli ._
Tokens: 1_____ 2________ 3______ 4______ 5____ 6 7________ 8____________ 9____ 10___ 11___________ 12_ 13 14__ 15 16_ 17 18___________ 19_ 20____ 21

Chunks:

(ChunkerEvaluator) Sentence #421 from 00102119 from sent8

Text  : Ponadto północno - zachodni zakręt na końcu prostej jest dość szybki ,_ ale wypadnięcie z_ niego kończy się lądowaniem modelu w_ strefie serwisowej lub zderzeniem z_ konstrukcją podestu ._
Tokens: 1______ 2_______ 3 4_______ 5_____ 6_ 7____ 8______ 9___ 10__ 11____ 12 13_ 14_________ 15 16___ 17____ 18_ 19________ 20____ 21 22_____ 23________ 24_ 25________ 26 27_________ 28_____ 29

Chunks:

2017-06-14 20:10:11,812 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 30 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102120.xml
(ChunkerEvaluator) Sentence #422 from 00102120 from sent1

Text  : Na spotkaniu gościnnie pojawił się samolot Adama .
Tokens: 1_ 2________ 3________ 4______ 5__ 6______ 7____ 8

Chunks:
  TruePositive nam [7,7] = Adama (confidence=1.00)

(ChunkerEvaluator) Sentence #423 from 00102120 from sent2

Text  : Napedzany silnikiem elektrycznym model U - Can - Do 3D wzbudził spore zainteresowanie ,_ chociaż warunki pogodowe nie pozwoliły polatać nim zbyt długo ._
Tokens: 1________ 2________ 3___________ 4____ 5 6 7__ 8 9_ 10 11______ 12___ 13_____________ 14 15_____ 16_____ 17______ 18_ 19_______ 20_____ 21_ 22__ 23___ 24

Chunks:
  TruePositive nam [5,10] = U - Can - Do 3D (confidence=1.00)

(ChunkerEvaluator) Sentence #424 from 00102120 from sent3

Text  : Wśród samochodów ciekawostką był nowiuteńki Associated Mini MGT 3 ._ 0_ ._
Tokens: 1____ 2_________ 3__________ 4__ 5_________ 6_________ 7___ 8__ 9 10 11 12

Chunks:
  FalsePositive nam [6,6] = Associated (confidence=0.96) (incorrect boundry)
  FalsePositive nam [7,11] = Mini MGT 3 . 0 (confidence=0.94) (incorrect boundry)
  FalseNegative nam [6,11] = Associated Mini MGT 3 . 0

(ChunkerEvaluator) Sentence #425 from 00102120 from sent4

Text  : Ten Monster Truck w skali 1 : 10 jest modelem "_ mini "_ jedynie z_ nazwy ._
Tokens: 1__ 2______ 3____ 4 5____ 6 7 8_ 9___ 10_____ 11 12__ 13 14_____ 15 16___ 17

Chunks:
  FalsePositive nam [2,3] = Monster Truck (confidence=0.86) (incorrect boundry)

(ChunkerEvaluator) Sentence #426 from 00102120 from sent5

Text  : Wymiarami nie ustepuje innym modelom 1 : 10 .
Tokens: 1________ 2__ 3_______ 4____ 5______ 6 7 8_ 9

Chunks:

(ChunkerEvaluator) Sentence #427 from 00102120 from sent6

Text  : Ogromne koła montowane na 14 mm hexy dodatkowo zwiększają rozmiar auta ._
Tokens: 1______ 2___ 3________ 4_ 5_ 6_ 7___ 8________ 9_________ 10_____ 11__ 12

Chunks:

(ChunkerEvaluator) Sentence #428 from 00102120 from sent7

Text  : Na spotkaniu docierali śmy silnik modelu , mamy nadzieje ze już wkrótce zobaczymy go w_ akcji
Tokens: 1_ 2________ 3________ 4__ 5_____ 6_____ 7 8___ 9_______ 10 11_ 12_____ 13_______ 14 15 16___

Chunks:

(ChunkerEvaluator) Sentence #429 from 00102120 from sent8

Text  : Z warsztatu Adama wrócił mały Ligthning Stadium Piotrka .
Tokens: 1 2________ 3____ 4_____ 5___ 6________ 7______ 8______ 9

Chunks:
  TruePositive nam [3,3] = Adama (confidence=1.00)
  FalsePositive nam [6,8] = Ligthning Stadium Piotrka (confidence=1.00) (incorrect boundry)
  FalseNegative nam [6,7] = Ligthning Stadium
  FalseNegative nam [8,8] = Piotrka

(ChunkerEvaluator) Sentence #430 from 00102120 from sent9

Text  : Tym razem model odpalił bez najmniejszych problemów i sprawował się bez zarzutu ._
Tokens: 1__ 2____ 3____ 4______ 5__ 6____________ 7________ 8 9________ 10_ 11_ 12_____ 13

Chunks:

(ChunkerEvaluator) Sentence #431 from 00102120 from sent10

Text  : Jak zawsze problemów nie sprawiał również duży Lightning Stadium Adama ._
Tokens: 1__ 2_____ 3________ 4__ 5_______ 6______ 7___ 8________ 9______ 10___ 11

Chunks:
  FalsePositive nam [8,10] = Lightning Stadium Adama (confidence=1.00) (incorrect boundry)
  FalseNegative nam [8,9] = Lightning Stadium
  FalseNegative nam [10,10] = Adama

(ChunkerEvaluator) Sentence #432 from 00102120 from sent11

Text  : Niestety Hyper 7 wciąż gaśnie w przypadkowych momentach .
Tokens: 1_______ 2____ 3 4____ 5_____ 6 7____________ 8________ 9

Chunks:
  TruePositive nam [2,3] = Hyper 7 (confidence=1.00)

(ChunkerEvaluator) Sentence #433 from 00102120 from sent12

Text  : Nie pomogło usunięcie fltra paliwa , eksperymenty z długością wężyków paliwowych ,_ badanie szczelności baku czy wreszcie wymiana wszystkich wężyków paliwowych ._
Tokens: 1__ 2______ 3________ 4____ 5_____ 6 7___________ 8 9________ 10_____ 11________ 12 13_____ 14_________ 15__ 16_ 17______ 18_____ 19________ 20_____ 21________ 22

Chunks:

(ChunkerEvaluator) Sentence #434 from 00102120 from sent13

Text  : Z modeli elektrycznych jeździły Rustler oraz Cyclone D4 .
Tokens: 1 2_____ 3____________ 4_______ 5______ 6___ 7______ 8_ 9

Chunks:
  TruePositive nam [5,5] = Rustler (confidence=1.00)
  TruePositive nam [7,8] = Cyclone D4 (confidence=1.00)

(ChunkerEvaluator) Sentence #435 from 00102120 from sent14

Text  : Rustler wciąż jest przesadnie nerwowy , spróbujemy zmiany radia ._
Tokens: 1______ 2____ 3___ 4_________ 5______ 6 7_________ 8_____ 9____ 10

Chunks:
  TruePositive nam [1,1] = Rustler (confidence=0.99)

2017-06-14 20:10:11,860 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 31 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102217.xml
(ChunkerEvaluator) Sentence #436 from 00102217 from sent1

Text  : W 2008 i 2009 r . niektóre wieloletnie programy zwalczania ,_ kontroli i_ monitorowania chorób zwierząt i_ chorób odzwierzęcych zgłoszone przez państwa członkowskie zostały zatwierdzone decyzją Komisji 2007 /_ 782 /_ WE (_ 6_ )_ i_ decyzją Komisji 2008 /_ 897 /_ WE (_ 7_ )_ ._
Tokens: 1 2___ 3 4___ 5 6 7_______ 8__________ 9_______ 10________ 11 12______ 13 14___________ 15____ 16______ 17 18____ 19___________ 20_______ 21___ 22_____ 23__________ 24_____ 25__________ 26_____ 27_____ 28__ 29 30_ 31 32 33 34 35 36 37_____ 38_____ 39__ 40 41_ 42 43 44 45 46 47

Chunks:
  FalseNegative nam [32,32] = WE
  FalseNegative nam [43,43] = WE

(ChunkerEvaluator) Sentence #437 from 00102217 from sent2

Text  : Zobowiązania dotyczące wydatków na te wieloletnie programy zostały przyjęte zgodnie z_ art ._ 76 ust ._ 3_ rozporządzenia Rady (_ WE ,_ Euratom )_ nr 1605 /_ 2002 z_ dnia 25 czerwca 2002 r_ ._ w_ sprawie rozporządzenia finansowego mającego zastosowanie do budżetu ogólnego Wspólnot Europejskich (_ 8_ )_ ._
Tokens: 1___________ 2________ 3_______ 4_ 5_ 6__________ 7_______ 8______ 9_______ 10_____ 11 12_ 13 14 15_ 16 17 18____________ 19__ 20 21 22 23_____ 24 25 26__ 27 28__ 29 30__ 31 32_____ 33__ 34 35 36 37_____ 38____________ 39_________ 40______ 41__________ 42 43_____ 44______ 45______ 46__________ 47 48 49 50

Chunks:
  FalsePositive nam [18,19] = rozporządzenia Rady (confidence=0.70) (incorrect boundry)
  FalsePositive nam [21,21] = WE (confidence=0.79) (incorrect boundry)
  FalsePositive nam [23,23] = Euratom (confidence=1.00) (incorrect boundry)
  FalsePositive nam [45,46] = Wspólnot Europejskich (confidence=0.98) (incorrect boundry)
  FalseNegative nam [18,46] = rozporządzenia Rady ( WE , Euratom ) nr 1605 / 2002 z dnia 25 czerwca 2002 r . w sprawie rozporządzenia finansowego mającego zastosowanie do budżetu ogólnego Wspólnot Europejskich

(ChunkerEvaluator) Sentence #438 from 00102217 from sent3

Text  : Pierwsze zobowiązanie budżetowe w przypadku tych programów zostało podjęte po ich zatwierdzeniu ._
Tokens: 1_______ 2___________ 3________ 4 5________ 6___ 7________ 8______ 9______ 10 11_ 12___________ 13

Chunks:

(ChunkerEvaluator) Sentence #439 from 00102217 from sent4

Text  : Każde kolejne zobowiązanie roczne jest podejmowane przez Komisję w zależności od wykonania programu w_ roku poprzednim na podstawie decyzji o_ przyznaniu wkładu ,_ o_ której mowa w_ art ._ 27 ust ._ 5_ decyzji 2009 /_ 470 /_ WE ._
Tokens: 1____ 2______ 3___________ 4_____ 5___ 6__________ 7____ 8______ 9 10________ 11 12_______ 13______ 14 15__ 16________ 17 18_______ 19_____ 20 21________ 22____ 23 24 25____ 26__ 27 28_ 29 30 31_ 32 33 34_____ 35__ 36 37_ 38 39 40

Chunks:

(ChunkerEvaluator) Sentence #440 from 00102217 from sent5

Text  : ( 9 )
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #441 from 00102217 from sent6

Text  : Rozporządzenie ( WE ) nr 999 / 2001 , zmienione rozporządzeniem Komisji (_ WE )_ nr 103 /_ 2009 (_ 9_ )_ ,_ przewiduje bardziej restrykcyjne wymogi ,_ które muszą zostać spełnione w_ przypadku stad zwierząt mlecznych zakażonych klasyczną trzęsawką owiec ._
Tokens: 1_____________ 2 3_ 4 5_ 6__ 7 8___ 9 10_______ 11_____________ 12_____ 13 14 15 16 17_ 18 19__ 20 21 22 23 24________ 25______ 26__________ 27____ 28 29___ 30___ 31____ 32_______ 33 34_______ 35__ 36______ 37_______ 38________ 39_______ 40_______ 41___ 42

Chunks:
  TruePositive nam [3,3] = WE (confidence=0.99)
  TruePositive nam [14,14] = WE (confidence=0.99)

(ChunkerEvaluator) Sentence #442 from 00102217 from sent7

Text  : ( 10 )
Tokens: 1 2_ 3

Chunks:

(ChunkerEvaluator) Sentence #443 from 00102217 from sent8

Text  : W 2009 r . Cypr przedłożył wieloletni program monitorowania i_ zwalczania trzęsawki ,_ dostosowany do tej ostatniej zmiany rozporządzenia (_ WE )_ nr 999 /_ 2001 ._
Tokens: 1 2___ 3 4 5___ 6_________ 7_________ 8______ 9____________ 10 11________ 12_______ 13 14_________ 15 16_ 17_______ 18____ 19____________ 20 21 22 23 24_ 25 26__ 27

Chunks:
  TruePositive nam [5,5] = Cypr (confidence=0.92)
  TruePositive nam [21,21] = WE (confidence=0.87)

(ChunkerEvaluator) Sentence #444 from 00102217 from sent9

Text  : Decyzją Komisji 2009 / 560 / WE ( 10 )_ zatwierdzono wieloletni program dotyczący trzęsawki ,_ w_ którego ramach koszty personelu zatrudnionego specjalnie do wykonania zadań przewidzianych w_ tym programie oraz koszty zniszczenia martwych zwierząt zostały uwzględnione w_ kosztach kwalifikujących się do przyznania wkładu finansowego Wspólnoty ._
Tokens: 1______ 2______ 3___ 4 5__ 6 7_ 8 9_ 10 11__________ 12________ 13_____ 14_______ 15_______ 16 17 18_____ 19____ 20____ 21_______ 22___________ 23________ 24 25_______ 26___ 27____________ 28 29_ 30_______ 31__ 32____ 33_________ 34______ 35______ 36_____ 37__________ 38 39______ 40_____________ 41_ 42 43________ 44____ 45_________ 46_______ 47

Chunks:
  FalsePositive nam [46,46] = Wspólnoty (confidence=0.76) (incorrect boundry)
  FalseNegative nam [7,7] = WE

(ChunkerEvaluator) Sentence #445 from 00102217 from sent10

Text  : Drugi i ostatni rok przedłożonego przez Cypr wieloletniego programu dotyczącego trzęsawki powinien zatem zostać zatwierdzony i_ zapewnić taki sam wkład finansowy Wspólnoty i_ kwalifikowalne środki jak na pierwszy rok ._
Tokens: 1____ 2 3______ 4__ 5____________ 6____ 7___ 8____________ 9_______ 10_________ 11_______ 12______ 13___ 14____ 15__________ 16 17______ 18__ 19_ 20___ 21_______ 22_______ 23 24____________ 25____ 26_ 27 28______ 29_ 30

Chunks:
  TruePositive nam [7,7] = Cypr (confidence=1.00)
  FalsePositive nam [22,22] = Wspólnoty (confidence=0.69) (incorrect boundry)

(ChunkerEvaluator) Sentence #446 from 00102217 from sent11

Text  : ( 11 )
Tokens: 1 2_ 3

Chunks:

(ChunkerEvaluator) Sentence #447 from 00102217 from sent12

Text  : Komisja dokonała oceny programów rocznych przedstawionych jej przez państwa członkowskie ,_ jak również kolejnego roku (_ drugiego lub trzeciego )_ realizacji programów wieloletnich zatwierdzonych w_ 2008 i_ 2009 r_ ._ zarówno z_ punktu widzenia weterynaryjnego ,_ jak i_ finansowego i_ stwierdziła ,_ że programy te są zgodne ze wspólnotowym prawodawstwem weterynaryjnym ,_ a_ zwłaszcza z_ kryteriami określonymi w_ decyzji 2008 /_ 341 /_ WE ._
Tokens: 1______ 2_______ 3____ 4________ 5_______ 6______________ 7__ 8____ 9______ 10__________ 11 12_ 13_____ 14_______ 15__ 16 17______ 18_ 19_______ 20 21________ 22_______ 23__________ 24____________ 25 26__ 27 28__ 29 30 31_____ 32 33____ 34______ 35_____________ 36 37_ 38 39_________ 40 41_________ 42 43 44______ 45 46 47____ 48 49__________ 50___________ 51____________ 52 53 54_______ 55 56________ 57_________ 58 59_____ 60__ 61 62_ 63 64 65

Chunks:
  FalseNegative nam [64,64] = WE

(ChunkerEvaluator) Sentence #448 from 00102217 from sent13

Text  : ( 12 )
Tokens: 1 2_ 3

Chunks:

(ChunkerEvaluator) Sentence #449 from 00102217 from sent14

Text  : Ze względu na znaczenie rocznych i wieloletnich programów dla osiągnięcia celów Wspólnoty w_ dziedzinie zdrowia publicznego i_ zdrowia zwierząt ,_ jak również ze względu na obowiązek stosowania we wszystkich państwach członkowskich programów w_ zakresie TSE i_ ptasiej grypy ,_ właściwe jest ustalenie odpowiedniej stawki wkładu finansowego Wspólnoty w_ celu zwrócenia kosztów ,_ które zainteresowane państwa członkowskie poniosą w_ związku ze środkami wspomnianymi w_ niniejszej decyzji do kwoty maksymalnej dla każdego programu ._
Tokens: 1_ 2______ 3_ 4________ 5_______ 6 7___________ 8________ 9__ 10_________ 11___ 12_______ 13 14________ 15_____ 16_________ 17 18_____ 19______ 20 21_ 22_____ 23 24_____ 25 26_______ 27________ 28 29________ 30_______ 31___________ 32_______ 33 34______ 35_ 36 37_____ 38___ 39 40______ 41__ 42_______ 43__________ 44____ 45____ 46_________ 47_______ 48 49__ 50_______ 51_____ 52 53___ 54____________ 55_____ 56__________ 57_____ 58 59_____ 60 61______ 62__________ 63 64________ 65_____ 66 67___ 68_________ 69_ 70_____ 71______ 72

Chunks:
  FalsePositive nam [12,12] = Wspólnoty (confidence=0.59) (incorrect boundry)
  FalsePositive nam [35,35] = TSE (confidence=0.99) (incorrect boundry)

2017-06-14 20:10:11,977 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 32 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102222.xml
(ChunkerEvaluator) Sentence #450 from 00102222 from sent1

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #451 from 00102222 from sent2

Text  : Proporcjonalnego podziału zysków , który stosowały by niezależne podmioty uczestniczące w_ danej transakcji (_ transakcjach )_ ,_ dokonuje się za pomocą :_
Tokens: 1_______________ 2_______ 3_____ 4 5____ 6________ 7_ 8_________ 9_______ 10___________ 11 12___ 13________ 14 15__________ 16 17 18______ 19_ 20 21____ 22

Chunks:

(ChunkerEvaluator) Sentence #452 from 00102222 from sent3

Text  : 1 ) analizy rezydualnej , która dzieli sumę zysków uzyskanych w_ związku z_ daną transakcją (_ transakcjami )_ przez podmioty powiązane uczestniczące w_ tej transakcji (_ transakcjach )_ w_ dwóch etapach ;_ w_ pierwszym etapie każdemu uczestnikowi transakcji przypisuje się minimalny zysk ,_ jaki osiągają podmioty niezależne w_ tego rodzaju transakcjach ;_ w_ drugim etapie wszelkie pozostałe po podziale w_ pierwszym etapie zyski dzielone są pomiędzy podmioty powiązane uczestniczące w_ danej transakcji zgodnie z_ zasadami ,_ jakie ustaliły by podmioty niezależne uczestniczące w_ takiej transakcji ;_ jeżeli suma osiągniętych przez podmioty powiązane zysków jest niższa niż suma zysków przypisanych w__ pierwszym etapie ,__ to_ zyski przypisane podlegają zmniejszeniu ;__ korekta dokonywana w__ etapie drugim uwzględnia funkcje ekonomiczne ,__ o__ których mowa w__ §__ 8__ ust .__ 2__ ,__ albo
Tokens: 1 2 3______ 4__________ 5 6____ 7_____ 8___ 9_____ 10________ 11 12_____ 13 14__ 15________ 16 17__________ 18 19___ 20______ 21_______ 22___________ 23 24_ 25________ 26 27__________ 28 29 30___ 31_____ 32 33 34_______ 35____ 36_____ 37__________ 38________ 39________ 40_ 41_______ 42__ 43 44__ 45______ 46______ 47________ 48 49__ 50_____ 51__________ 52 53 54____ 55____ 56______ 57_______ 58 59______ 60 61_______ 62____ 63___ 64______ 65 66______ 67______ 68_______ 69___________ 70 71___ 72________ 73_____ 74 75______ 76 77___ 78______ 79 80______ 81________ 82___________ 83 84____ 85________ 86 87____ 88__ 89__________ 90___ 91______ 92_______ 93____ 94__ 95____ 96_ 97__ 98____ 99__________ 100 101______ 102___ 103 104 105__ 106_______ 107______ 108_________ 109 110____ 111_______ 112 113___ 114___ 115_______ 116____ 117________ 118 119 120____ 121_ 122 123 124 125 126 127 128 129_

Chunks:

(ChunkerEvaluator) Sentence #453 from 00102222 from sent4

Text  : 2 ) analizy udziału , która dzieli między podmiotami powiązanymi połączony zysk z_ transakcji ,_ której przedmiotem są dobra wytworzone lub ulepszone przez te podmioty ,_ w_ oparciu o_ względną wartość działań podjętych przez każdy z_ powiązanych podmiotów ,_ uwzględniając czynniki ,_ o_ których mowa w_ §_ 8_ ust ._ 2_ ._
Tokens: 1 2 3______ 4______ 5 6____ 7_____ 8_____ 9_________ 10_________ 11_______ 12__ 13 14________ 15 16____ 17_________ 18 19___ 20________ 21_ 22_______ 23___ 24 25______ 26 27 28_____ 29 30______ 31_____ 32_____ 33_______ 34___ 35___ 36 37_________ 38_______ 39 40___________ 41______ 42 43 44_____ 45__ 46 47 48 49_ 50 51 52

Chunks:

(ChunkerEvaluator) Sentence #454 from 00102222 from sent5

Text  : 4 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #455 from 00102222 from sent6

Text  : Podziału zysków , o których mowa w ust . 2_ ,_ dokonuje się przez właściwe określenie przychodów uzyskanych przez każdy z_ podmiotów powiązanych oraz poniesionych kosztów związanych z_ daną transakcją (_ transakcjami )_ ._
Tokens: 1_______ 2_____ 3 4 5______ 6___ 7 8__ 9 10 11 12______ 13_ 14___ 15______ 16________ 17________ 18________ 19___ 20___ 21 22_______ 23_________ 24__ 25__________ 26_____ 27________ 28 29__ 30________ 31 32__________ 33 34

Chunks:

(ChunkerEvaluator) Sentence #456 from 00102222 from sent7

Text  : 5 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #457 from 00102222 from sent8

Text  : Metoda marży transakcyjnej netto polega na badaniu marży zysku netto ,_ jaką uzyskuje podmiot w_ transakcji lub transakcjach z_ innym podmiotem powiązanym ,_ i_ określeniu jej na poziomie marży ,_ jaką uzyskuje ten sam podmiot w_ transakcjach z_ podmiotami niezależnymi ,_ lub do marży uzyskiwanej w_ porównywalnych transakcjach przez podmioty niezależne ._
Tokens: 1_____ 2____ 3____________ 4____ 5_____ 6_ 7______ 8____ 9____ 10___ 11 12__ 13______ 14_____ 15 16________ 17_ 18__________ 19 20___ 21_______ 22________ 23 24 25________ 26_ 27 28______ 29___ 30 31__ 32______ 33_ 34_ 35_____ 36 37__________ 38 39________ 40__________ 41 42_ 43 44___ 45_________ 46 47____________ 48__________ 49___ 50______ 51________ 52

Chunks:

(ChunkerEvaluator) Sentence #458 from 00102222 from sent9

Text  : 6 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #459 from 00102222 from sent10

Text  : Marżę transakcyjną netto , o której mowa w ust ._ 5_ ,_ określa się poprzez odliczenie od przychodu osiągniętego w_ wyniku transakcji kosztów poniesionych w_ celu osiągnięcia tego przychodu ,_ w_ tym także kosztów ogólnych zarządu ._
Tokens: 1____ 2___________ 3____ 4 5 6_____ 7___ 8 9__ 10 11 12 13_____ 14_ 15_____ 16________ 17 18_______ 19__________ 20 21____ 22________ 23_____ 24__________ 25 26__ 27_________ 28__ 29_______ 30 31 32_ 33___ 34_____ 35______ 36_____ 37

Chunks:

(ChunkerEvaluator) Sentence #460 from 00102222 from sent11

Text  : 7 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #461 from 00102222 from sent12

Text  : Odliczenia kosztów ogólnych zarządu , o którym mowa w ust ._ 6_ ,_ dokonuje się uwzględniając proporcję ,_ w_ jakiej pozostaje przychód uzyskany w_ związku z_ daną transakcją w_ ogólnej kwocie przychodów ._
Tokens: 1_________ 2______ 3_______ 4______ 5 6 7_____ 8___ 9 10_ 11 12 13 14______ 15_ 16___________ 17_______ 18 19 20____ 21_______ 22______ 23______ 24 25_____ 26 27__ 28________ 29 30_____ 31____ 32________ 33

Chunks:

(ChunkerEvaluator) Sentence #462 from 00102222 from sent13

Text  : 8 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #463 from 00102222 from sent14

Text  : Stosując metodę marży transakcyjnej netto należy uwzględnić różnice między podmiotami ,_ których marże są porównywane ,_ a_ w_ szczególności należy wziąć pod uwagę takie czynniki ,_ jak :_ konkurencja ze strony innych uczestników rynku i_ dóbr zamiennych ,_ skuteczność i_ strategia zarządzania ,_ pozycja rynkowa ,_ różnice struktury kosztów i_ kosztu pozyskania kapitału oraz stopień doświadczenia w_ działalności ._
Tokens: 1_______ 2_____ 3____ 4____________ 5____ 6_____ 7_________ 8______ 9_____ 10________ 11 12_____ 13___ 14 15_________ 16 17 18 19___________ 20____ 21___ 22_ 23___ 24___ 25______ 26 27_ 28 29_________ 30 31____ 32____ 33_________ 34___ 35 36__ 37________ 38 39_________ 40 41_______ 42_________ 43 44_____ 45_____ 46 47_____ 48_______ 49_____ 50 51____ 52________ 53______ 54__ 55_____ 56___________ 57 58__________ 59

Chunks:

2017-06-14 20:10:12,094 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 33 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102254.xml
(ChunkerEvaluator) Sentence #464 from 00102254 from sent1

Text  : Kiedyś podwórko bloku , w którym mieszkał em , zajmowały huśtawki ,_ karuzela ,_ piaskownica i_ ławki ._
Tokens: 1_____ 2_______ 3____ 4 5 6_____ 7_______ 8_ 9 10_______ 11______ 12 13______ 14 15_________ 16 17___ 18

Chunks:

(ChunkerEvaluator) Sentence #465 from 00102254 from sent2

Text  : 20 lat później gdy dzieci zamieniły grabki na puszki z_ piwem podwórko zamienione zostało w_ kawałek trawnika ._
Tokens: 1_ 2__ 3______ 4__ 5_____ 6________ 7_____ 8_ 9_____ 10 11___ 12______ 13________ 14_____ 15 16_____ 17______ 18

Chunks:

(ChunkerEvaluator) Sentence #466 from 00102254 from sent3

Text  : A do czego służy trawnik między blokami ?
Tokens: 1 2_ 3____ 4____ 5______ 6_____ 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #467 from 00102254 from sent4

Text  : Administracja osiedla dobrze wie , do czego , więc postanowiła zadziałać ._
Tokens: 1____________ 2______ 3_____ 4__ 5 6_ 7____ 8 9___ 10_________ 11_______ 12

Chunks:

(ChunkerEvaluator) Sentence #468 from 00102254 from sent5

Text  : Pojawił się znak .
Tokens: 1______ 2__ 3___ 4

Chunks:

(ChunkerEvaluator) Sentence #469 from 00102254 from sent6

Text  : Być może jednak nie był zbyt skuteczny .
Tokens: 1__ 2___ 3_____ 4__ 5__ 6___ 7________ 8

Chunks:

(ChunkerEvaluator) Sentence #470 from 00102254 from sent7

Text  : W końcu wolność psa i jego właściciela polega na tym ,_ żeby pies mógł załatwiać się gdzie chce ._
Tokens: 1 2____ 3______ 4__ 5 6___ 7__________ 8_____ 9_ 10_ 11 12__ 13__ 14__ 15_______ 16_ 17___ 18__ 19

Chunks:

(ChunkerEvaluator) Sentence #471 from 00102254 from sent8

Text  : Właściciel płaci podatek za siebie , za psa pewnie też ,_ czynsz płaci i_ składkę zdrowotną ._
Tokens: 1_________ 2____ 3______ 4_ 5_____ 6 7_ 8__ 9_____ 10_ 11 12____ 13___ 14 15_____ 16_______ 17

Chunks:

(ChunkerEvaluator) Sentence #472 from 00102254 from sent9

Text  : W pakiecie kupuje więc święty spokój , odwróci się nawet gratis ,_ żeby pies się nie wstydził ._
Tokens: 1 2_______ 3_____ 4___ 5_____ 6_____ 7 8______ 9__ 10___ 11____ 12 13__ 14__ 15_ 16_ 17______ 18

Chunks:

(ChunkerEvaluator) Sentence #473 from 00102254 from sent10

Text  : Tymczasem 20 metrów od znaku pojawiło się nowe urządzenie ._
Tokens: 1________ 2_ 3_____ 4_ 5____ 6_______ 7__ 8___ 9_________ 10

Chunks:

(ChunkerEvaluator) Sentence #474 from 00102254 from sent11

Text  : Wprowadzić psa nie wolno , ale za to można po nim posprzątać ._
Tokens: 1_________ 2__ 3__ 4____ 5 6__ 7_ 8_ 9____ 10 11_ 12________ 13

Chunks:

(ChunkerEvaluator) Sentence #475 from 00102254 from sent12

Text  : Ciekawe na ile ta metoda okaże się skuteczna .
Tokens: 1______ 2_ 3__ 4_ 5_____ 6____ 7__ 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #476 from 00102254 from sent13

Text  : Zawsze można pakiet wykorzystać do usunięcia dowodów , co pozwoli na uniknięcie kary administracyjnej ._
Tokens: 1_____ 2____ 3_____ 4__________ 5_ 6________ 7______ 8 9_ 10_____ 11 12________ 13__ 14______________ 15

Chunks:

(ChunkerEvaluator) Sentence #477 from 00102254 from sent14

Text  : A gdyby tak takie żółte pudełka ustawić przy każdy trawniku ?_
Tokens: 1 2____ 3__ 4____ 5____ 6______ 7______ 8___ 9____ 10______ 11

Chunks:

2017-06-14 20:10:12,143 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 34 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102356.xml
(ChunkerEvaluator) Sentence #478 from 00102356 from sent1

Text  : Zgadzam się – jak rzadko
Tokens: 1______ 2__ 3 4__ 5_____

Chunks:

(ChunkerEvaluator) Sentence #479 from 00102356 from sent2

Text  : Czasami – rzadko – bywa tak , że ktoś inny napisze dokładnie to ,_ co się myśli ._
Tokens: 1______ 2 3_____ 4 5___ 6__ 7 8_ 9___ 10__ 11_____ 12_______ 13 14 15 16_ 17___ 18

Chunks:

(ChunkerEvaluator) Sentence #480 from 00102356 from sent3

Text  : Bywa wówczas , że pozostaje zazdrościć , że to on właśnie napisał –_ a_ nie ja ._
Tokens: 1___ 2______ 3 4_ 5________ 6_________ 7 8_ 9_ 10 11_____ 12_____ 13 14 15_ 16 17

Chunks:

(ChunkerEvaluator) Sentence #481 from 00102356 from sent4

Text  : Ale sądzę , że to dobra zazdrość .
Tokens: 1__ 2____ 3 4_ 5_ 6____ 7_______ 8

Chunks:

(ChunkerEvaluator) Sentence #482 from 00102356 from sent5

Text  : Z przyjemnością tedy rekomenduję bywalcom tej witryny tekst Marka Piwowskiego z_ dzisiejszej "_ Gazety Wyborczej "_ ._
Tokens: 1 2____________ 3___ 4__________ 5_______ 6__ 7______ 8____ 9____ 10_________ 11 12_________ 13 14____ 15_______ 16 17

Chunks:
  TruePositive nam [9,10] = Marka Piwowskiego (confidence=1.00)
  TruePositive nam [14,15] = Gazety Wyborczej (confidence=1.00)

(ChunkerEvaluator) Sentence #483 from 00102356 from sent6

Text  : Nosi on tytuł " Trzy powody , dla których nie należy płacić abonamentu TV "_ ._
Tokens: 1___ 2_ 3____ 4 5___ 6_____ 7 8__ 9______ 10_ 11____ 12____ 13________ 14 15 16

Chunks:
  FalsePositive nam [5,6] = Trzy powody (confidence=0.73) (incorrect boundry)
  FalsePositive nam [14,14] = TV (confidence=0.80) (incorrect boundry)
  FalseNegative nam [5,14] = Trzy powody , dla których nie należy płacić abonamentu TV

(ChunkerEvaluator) Sentence #484 from 00102356 from sent7

Text  : Zaczyna się tak :
Tokens: 1______ 2__ 3__ 4

Chunks:

(ChunkerEvaluator) Sentence #485 from 00102356 from sent8

Text  : Telewizję publiczną łączy z nami , telewidzami , kontrakt –_ my płacimy abonament ,_ a_ telewizja ma nam dostarczyć produkt do oglądania ._
Tokens: 1________ 2________ 3____ 4 5___ 6 7__________ 8 9_______ 10 11 12_____ 13_______ 14 15 16_______ 17 18_ 19________ 20_____ 21 22_______ 23

Chunks:

(ChunkerEvaluator) Sentence #486 from 00102356 from sent9

Text  : Ten produkt powinien być pełnowartościowy .
Tokens: 1__ 2______ 3_______ 4__ 5_______________ 6

Chunks:

(ChunkerEvaluator) Sentence #487 from 00102356 from sent10

Text  : Otóż nie jest .
Tokens: 1___ 2__ 3___ 4

Chunks:

(ChunkerEvaluator) Sentence #488 from 00102356 from sent11

Text  : Telewizja dostarcza nam produkt o zaniżonej wartości po zawyżonej cenie ._
Tokens: 1________ 2________ 3__ 4______ 5 6________ 7_______ 8_ 9________ 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #489 from 00102356 from sent12

Text  : Może tak robić , bo jej kontrakt z nami jest asymetryczny –_ my abonament płacić musimy ,_ a_ telewizja niczego nie musi ._
Tokens: 1___ 2__ 3____ 4 5_ 6__ 7_______ 8 9___ 10__ 11__________ 12 13 14_______ 15____ 16____ 17 18 19_______ 20_____ 21_ 22__ 23

Chunks:

(ChunkerEvaluator) Sentence #490 from 00102356 from sent13

Text  : Może nadawać , co chce .
Tokens: 1___ 2______ 3 4_ 5___ 6

Chunks:

(ChunkerEvaluator) Sentence #491 from 00102356 from sent14

Text  : Jest praktycznie bezkarna i poza kontrolą .
Tokens: 1___ 2__________ 3_______ 4 5___ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #492 from 00102356 from sent15

Text  : A ponieważ jest tylko narzędziem – jak skalpel , którym można odebrać albo uratować życie –_ wszystko zależy od tego ,_ w_ czyje trafi ręce ._
Tokens: 1 2_______ 3___ 4____ 5_________ 6 7__ 8______ 9 10____ 11___ 12_____ 13__ 14______ 15___ 16 17______ 18____ 19 20__ 21 22 23___ 24___ 25__ 26

Chunks:

(ChunkerEvaluator) Sentence #493 from 00102356 from sent16

Text  : Otóż telewizja dostała się w niewłaściwe ręce i przede wszystkim przestała być publiczną …_
Tokens: 1___ 2________ 3______ 4__ 5 6__________ 7___ 8 9_____ 10_______ 11_______ 12_ 13_______ 14

Chunks:

2017-06-14 20:10:12,195 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 35 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102381.xml
(ChunkerEvaluator) Sentence #494 from 00102381 from sent1

Text  : Już 15 grudnia w Ozorkowie będzie można zobaczyć i posłuchać zespołu Farben Lehre ._
Tokens: 1__ 2_ 3______ 4 5________ 6_____ 7____ 8_______ 9 10_______ 11_____ 12____ 13___ 14

Chunks:
  TruePositive nam [5,5] = Ozorkowie (confidence=1.00)
  TruePositive nam [12,13] = Farben Lehre (confidence=1.00)

(ChunkerEvaluator) Sentence #495 from 00102381 from sent2

Text  : Koncert rozpoczyna się o godzinie 19 w Miejskim Ośrodku Kultury ._
Tokens: 1______ 2_________ 3__ 4 5_______ 6_ 7 8_______ 9______ 10_____ 11

Chunks:
  TruePositive nam [8,10] = Miejskim Ośrodku Kultury (confidence=1.00)

(ChunkerEvaluator) Sentence #496 from 00102381 from sent3

Text  : Bilety standardowo do nabycia - już od piątku - w_ Pubie KANAPA [_ Starzyńskiego 33 ]_ w_ cenie 15zł ,_ a_ w_ dzień koncertu także w_ MOK-u w_ cenie 18zł ._
Tokens: 1_____ 2__________ 3_ 4______ 5 6__ 7_ 8_____ 9 10 11___ 12____ 13 14___________ 15 16 17 18___ 19__ 20 21 22 23___ 24______ 25___ 26 27___ 28 29___ 30__ 31

Chunks:
  TruePositive nam [14,14] = Starzyńskiego (confidence=0.68)
  TruePositive nam [27,27] = MOK-u (confidence=1.00)
  FalsePositive nam [11,12] = Pubie KANAPA (confidence=0.99) (incorrect boundry)
  FalseNegative nam [12,12] = KANAPA

(ChunkerEvaluator) Sentence #497 from 00102381 from sent4

Text  : Jako support zagra zespół ZMAZA .
Tokens: 1___ 2______ 3____ 4_____ 5____ 6

Chunks:
  TruePositive nam [5,5] = ZMAZA (confidence=0.99)

(ChunkerEvaluator) Sentence #498 from 00102381 from sent5

Text  : Dla wszystkich OzoNautów serwis OZORKOW.NET przygotował 3 jednoosobowe zaproszenia na tę imprezę ._
Tokens: 1__ 2_________ 3________ 4_____ 5__________ 6__________ 7 8___________ 9__________ 10 11 12_____ 13

Chunks:
  TruePositive nam [3,3] = OzoNautów (confidence=0.94)
  TruePositive nam [5,5] = OZORKOW.NET (confidence=1.00)

(ChunkerEvaluator) Sentence #499 from 00102381 from sent6

Text  : Szczegóły wkrótce !
Tokens: 1________ 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #500 from 00102381 from sent7

Text  : Tymczasem zapraszamy do zapoznania się z historią Farben Lehre w_ dalszej części newsa ._
Tokens: 1________ 2_________ 3_ 4_________ 5__ 6 7_______ 8_____ 9____ 10 11_____ 12____ 13___ 14

Chunks:
  TruePositive nam [8,9] = Farben Lehre (confidence=1.00)

(ChunkerEvaluator) Sentence #501 from 00102381 from sent8

Text  : FARBEN LEHRE powstało we wrześniu 1986 roku .
Tokens: 1_____ 2____ 3_______ 4_ 5_______ 6___ 7___ 8

Chunks:
  TruePositive nam [1,2] = FARBEN LEHRE (confidence=0.98)

(ChunkerEvaluator) Sentence #502 from 00102381 from sent9

Text  : Od tamtego czasu ukazało się 6 płyt studyjnych , min ._
Tokens: 1_ 2______ 3____ 4______ 5__ 6 7___ 8_________ 9 10_ 11

Chunks:

(ChunkerEvaluator) Sentence #503 from 00102381 from sent10

Text  : „ Bez pokory ” , „ My maszyny ” ,_ „_ Insekty ”_ ,_ „_ Zdrada ”_ ,_ „_ Atomowe zabawki ”_ ,_ „_ Pozytywka ”_ ,_ „_ Farbenheit ”_ ,_ koncertowa „_ Samo życie ”_ oraz 2_ wydawnictwa ,_ mające charakter kompilacji ._
Tokens: 1 2__ 3_____ 4 5 6 7_ 8______ 9 10 11 12_____ 13 14 15 16____ 17 18 19 20_____ 21_____ 22 23 24 25_______ 26 27 28 29________ 30 31 32________ 33 34__ 35___ 36 37__ 38 39_________ 40 41____ 42_______ 43________ 44

Chunks:
  TruePositive nam [2,3] = Bez pokory (confidence=0.59)
  TruePositive nam [7,8] = My maszyny (confidence=0.97)
  TruePositive nam [12,12] = Insekty (confidence=1.00)
  TruePositive nam [16,16] = Zdrada (confidence=0.98)
  TruePositive nam [20,21] = Atomowe zabawki (confidence=0.97)
  TruePositive nam [25,25] = Pozytywka (confidence=0.94)
  TruePositive nam [29,29] = Farbenheit (confidence=1.00)
  FalseNegative nam [34,35] = Samo życie

(ChunkerEvaluator) Sentence #504 from 00102381 from sent11

Text  : Od wielu lat zespół bardzo dużo koncertuje zarówno w Polsce ,_ jak i_ za granicą ._
Tokens: 1_ 2____ 3__ 4_____ 5_____ 6___ 7_________ 8______ 9 10____ 11 12_ 13 14 15_____ 16

Chunks:
  TruePositive nam [10,10] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #505 from 00102381 from sent12

Text  : Wystąpił , m . in . na festiwalach w Jarocinie w_ latach 1987 -_ 94 (_ laureat 1990 )_ oraz w_ 2006 roku ,_ Hunterfest (_ 2006 )_ ,_ Nie zabijaj (_ 2005 -_ 06 )_ ,_ Auxerre (_ Francja 2002 )_ ,_ Novej Sedlicy i_ Sninie (_ Słowacja 2003 ,_ 2004 )_ ._
Tokens: 1_______ 2 3 4 5_ 6 7_ 8__________ 9 10_______ 11 12____ 13__ 14 15 16 17_____ 18__ 19 20__ 21 22__ 23__ 24 25________ 26 27__ 28 29 30_ 31_____ 32 33__ 34 35 36 37 38_____ 39 40_____ 41__ 42 43 44___ 45_____ 46 47____ 48 49______ 50__ 51 52__ 53 54

Chunks:
  TruePositive nam [10,10] = Jarocinie (confidence=1.00)
  TruePositive nam [25,25] = Hunterfest (confidence=1.00)
  TruePositive nam [38,38] = Auxerre (confidence=1.00)
  TruePositive nam [40,40] = Francja (confidence=0.98)
  TruePositive nam [44,45] = Novej Sedlicy (confidence=1.00)
  TruePositive nam [47,47] = Sninie (confidence=0.97)
  TruePositive nam [49,49] = Słowacja (confidence=0.98)
  FalseNegative nam [30,31] = Nie zabijaj

(ChunkerEvaluator) Sentence #506 from 00102381 from sent13

Text  : Ponadto zagrał dużą trasę koncertową we Włoszech ( odwiedzając ,_ m_ ._ in ._ Mediolan ,_ Padwę ,_ Genuę ,_ Wenecję ,_ czy Bergamo ’_ 1998 )_ i_ na Białorusi (_ 1988 )_ oraz dwukrotnie był gościem prestiżowego Flingern Punk Rock Festival w_ Düsseldorfie ._
Tokens: 1______ 2_____ 3___ 4____ 5_________ 6_ 7_______ 8 9__________ 10 11 12 13 14 15______ 16 17___ 18 19___ 20 21_____ 22 23_ 24_____ 25 26__ 27 28 29 30_______ 31 32__ 33 34__ 35________ 36_ 37_____ 38__________ 39______ 40__ 41__ 42______ 43 44__________ 45

Chunks:
  TruePositive nam [7,7] = Włoszech (confidence=1.00)
  TruePositive nam [15,15] = Mediolan (confidence=1.00)
  TruePositive nam [17,17] = Padwę (confidence=1.00)
  TruePositive nam [19,19] = Genuę (confidence=1.00)
  TruePositive nam [21,21] = Wenecję (confidence=0.91)
  TruePositive nam [30,30] = Białorusi (confidence=0.99)
  TruePositive nam [39,42] = Flingern Punk Rock Festival (confidence=1.00)
  TruePositive nam [44,44] = Düsseldorfie (confidence=1.00)
  FalsePositive nam [24,26] = Bergamo ’ 1998 (confidence=1.00) (incorrect boundry)
  FalseNegative nam [24,24] = Bergamo

(ChunkerEvaluator) Sentence #507 from 00102381 from sent14

Text  : W latach : 1996 , 2004 i ostatnio w lipcu 2006 grupa zaprezentowała się na scenie największego polskiego festiwalu Przystanek Woodstock ,_ dając koncerty dla ponad stutysięcznej widowni (_ !_ !_ !_ )_ ._
Tokens: 1 2_____ 3 4___ 5 6___ 7 8_______ 9 10___ 11__ 12___ 13____________ 14_ 15 16____ 17__________ 18_______ 19_______ 20________ 21_______ 22 23___ 24______ 25_ 26___ 27___________ 28_____ 29 30 31 32 33 34

Chunks:
  TruePositive nam [20,21] = Przystanek Woodstock (confidence=1.00)

(ChunkerEvaluator) Sentence #508 from 00102381 from sent15

Text  : Na swoim koncie płocka formacja ma występy u boku tak znaczących formacji jak Exploited ,_ Die Toten Hosen ,_ G_ ._ B_ ._ H_ ._ ,_ Vibrators ,_ U_ ._ K_ ._ Subs ,_ Oi Polloi ,_ Rasta Knast ,_ Dritte Wahl ,_ Krays ,_ Ine Kafe czy Smola a_ Hrusky ._
Tokens: 1_ 2____ 3_____ 4_____ 5_______ 6_ 7______ 8 9___ 10_ 11________ 12______ 13_ 14_______ 15 16_ 17___ 18___ 19 20 21 22 23 24 25 26 27_______ 28 29 30 31 32 33__ 34 35 36____ 37 38___ 39___ 40 41____ 42__ 43 44___ 45 46_ 47__ 48_ 49___ 50 51____ 52

Chunks:
  TruePositive nam [14,14] = Exploited (confidence=1.00)
  TruePositive nam [16,18] = Die Toten Hosen (confidence=1.00)
  TruePositive nam [20,25] = G . B . H . (confidence=0.86)
  TruePositive nam [27,27] = Vibrators (confidence=1.00)
  TruePositive nam [29,33] = U . K . Subs (confidence=0.99)
  TruePositive nam [35,36] = Oi Polloi (confidence=1.00)
  TruePositive nam [38,39] = Rasta Knast (confidence=1.00)
  TruePositive nam [41,42] = Dritte Wahl (confidence=0.99)
  TruePositive nam [44,44] = Krays (confidence=1.00)
  TruePositive nam [46,47] = Ine Kafe (confidence=1.00)
  FalsePositive nam [49,49] = Smola (confidence=1.00) (incorrect boundry)
  FalsePositive nam [51,51] = Hrusky (confidence=0.86) (incorrect boundry)
  FalseNegative nam [49,51] = Smola a Hrusky

(ChunkerEvaluator) Sentence #509 from 00102381 from sent16

Text  : Od kilku lat zespół jest głównym pomysłodawcą oraz jednym z_ wykonawców wiosennej ,_ klubowej trasy koncertowej Punky Reggae live ,_ która rokrocznie odwiedza kilkadziesiąt największych miast w_ całej Polsce ._
Tokens: 1_ 2____ 3__ 4_____ 5___ 6______ 7___________ 8___ 9_____ 10 11________ 12_______ 13 14______ 15___ 16_________ 17___ 18____ 19__ 20 21___ 22________ 23______ 24___________ 25__________ 26___ 27 28___ 29____ 30

Chunks:
  TruePositive nam [17,19] = Punky Reggae live (confidence=1.00)
  TruePositive nam [29,29] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #510 from 00102381 from sent17

Text  : Wspólnie z zaproszonymi zespołami ( ostatnio , w 2006 roku oprócz FL na jednej scenie pojawiły się formacje Akurat ,_ Zabili mi Żółwia i_ Cała Góra Barwinków )_ podczas ostatnich trzech lat odwiedzili śmy większość dużych polskich miast ,_ m_ ._ in ._ Warszawę ,_ Łódź ,_ Kraków ,_ Katowice ,_ Poznań ,_ Wrocław ,_ Gdańsk ,_ Szczecin ,_ Lublin ,_ Opole ,_ Gorzów Wlkp ._ ,_ Zieloną Górę ,_ Białystok ,_ Olsztyn ,_ Częstochowę ,_ Kielce ,_ Toruń czy Rzeszów ._
Tokens: 1_______ 2 3___________ 4________ 5 6_______ 7 8 9___ 10__ 11____ 12 13 14____ 15____ 16______ 17_ 18______ 19____ 20 21____ 22 23____ 24 25__ 26__ 27_______ 28 29_____ 30_______ 31____ 32_ 33________ 34_ 35_______ 36____ 37______ 38___ 39 40 41 42 43 44______ 45 46__ 47 48____ 49 50______ 51 52____ 53 54_____ 55 56____ 57 58______ 59 60____ 61 62___ 63 64____ 65__ 66 67 68_____ 69__ 70 71_______ 72 73_____ 74 75_________ 76 77____ 78 79___ 80_ 81_____ 82

Chunks:
  TruePositive nam [12,12] = FL (confidence=0.99)
  TruePositive nam [25,27] = Cała Góra Barwinków (confidence=0.99)
  TruePositive nam [44,44] = Warszawę (confidence=1.00)
  TruePositive nam [46,46] = Łódź (confidence=1.00)
  TruePositive nam [48,48] = Kraków (confidence=1.00)
  TruePositive nam [50,50] = Katowice (confidence=1.00)
  TruePositive nam [52,52] = Poznań (confidence=1.00)
  TruePositive nam [54,54] = Wrocław (confidence=1.00)
  TruePositive nam [56,56] = Gdańsk (confidence=1.00)
  TruePositive nam [58,58] = Szczecin (confidence=1.00)
  TruePositive nam [60,60] = Lublin (confidence=1.00)
  TruePositive nam [62,62] = Opole (confidence=1.00)
  TruePositive nam [68,69] = Zieloną Górę (confidence=0.99)
  TruePositive nam [71,71] = Białystok (confidence=1.00)
  TruePositive nam [73,73] = Olsztyn (confidence=1.00)
  TruePositive nam [75,75] = Częstochowę (confidence=1.00)
  TruePositive nam [77,77] = Kielce (confidence=1.00)
  TruePositive nam [79,79] = Toruń (confidence=0.99)
  TruePositive nam [81,81] = Rzeszów (confidence=1.00)
  FalsePositive nam [23,23] = Żółwia (confidence=0.93) (incorrect boundry)
  FalsePositive nam [64,66] = Gorzów Wlkp . (confidence=0.99) (incorrect boundry)
  FalseNegative nam [19,19] = Akurat
  FalseNegative nam [21,23] = Zabili mi Żółwia
  FalseNegative nam [64,65] = Gorzów Wlkp

(ChunkerEvaluator) Sentence #511 from 00102381 from sent18

Text  : We wrześniu 2006 roku ukazuje się podwójny , jubileuszowy album (_ z_ okazji 20 -_ lecia istnienia )_ ,_ zatytułowany po prostu „_ Farben Lehre ”_ ._
Tokens: 1_ 2_______ 3___ 4___ 5______ 6__ 7_______ 8 9___________ 10___ 11 12 13____ 14 15 16___ 17_______ 18 19 20__________ 21 22____ 23 24____ 25___ 26 27

Chunks:
  TruePositive nam [24,25] = Farben Lehre (confidence=1.00)

(ChunkerEvaluator) Sentence #512 from 00102381 from sent19

Text  : Jednocześnie zespół wyrusza w jesienną , klubową trasę koncertową po całej Polsce ._ ._ ._
Tokens: 1___________ 2_____ 3______ 4 5_______ 6 7______ 8____ 9_________ 10 11___ 12____ 13 14 15

Chunks:
  TruePositive nam [12,12] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #513 from 00102381 from sent20

Text  : Muzyka Farben Lehre jest energiczna , melodyjna , pełna radości grania i_ wolna od kompleksów ._
Tokens: 1_____ 2_____ 3____ 4___ 5_________ 6 7________ 8 9____ 10_____ 11____ 12 13___ 14 15________ 16

Chunks:
  FalsePositive nam [1,3] = Muzyka Farben Lehre (confidence=0.99) (incorrect boundry)
  FalseNegative nam [2,3] = Farben Lehre

2017-06-14 20:10:12,328 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 36 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102429.xml
(ChunkerEvaluator) Sentence #514 from 00102429 from sent1

Text  : Na prośbę Jarosława Lipszyca wklejam zaproszenie na spotkanie , które odbędzie się w_ środę w_ Warszawie ._
Tokens: 1_ 2_____ 3________ 4_______ 5______ 6__________ 7_ 8________ 9 10___ 11______ 12_ 13 14___ 15 16_______ 17

Chunks:
  TruePositive nam [3,4] = Jarosława Lipszyca (confidence=1.00)
  TruePositive nam [16,16] = Warszawie (confidence=1.00)

(ChunkerEvaluator) Sentence #515 from 00102429 from sent2

Text  : Zapowiada się sympatyczna impreza , a przy tym będzie można porozmawiać o_ prawach autorskich z_ przedstawicielem Ministerstwa Kultury ._
Tokens: 1________ 2__ 3__________ 4______ 5 6 7___ 8__ 9_____ 10___ 11_________ 12 13_____ 14________ 15 16______________ 17__________ 18_____ 19

Chunks:
  TruePositive nam [17,18] = Ministerstwa Kultury (confidence=1.00)

(ChunkerEvaluator) Sentence #516 from 00102429 from sent3

Text  : " Zapraszam wszystkich serdecznie w najbliższą środę o godz ._ 12 do Sali Darczyńców w_ Bibliotece Narodowej ._
Tokens: 1 2________ 3_________ 4_________ 5 6_________ 7____ 8 9___ 10 11 12 13__ 14________ 15 16________ 17_______ 18

Chunks:
  TruePositive nam [13,14] = Sali Darczyńców (confidence=0.85)
  TruePositive nam [16,17] = Bibliotece Narodowej (confidence=0.97)

(ChunkerEvaluator) Sentence #517 from 00102429 from sent4

Text  : Będziemy tam świętować przejście utworów Bolesława Leśmiana i innych pisarzy zmarłych w_ 1937 roku do domeny publicznej ._
Tokens: 1_______ 2__ 3________ 4________ 5______ 6________ 7_______ 8 9_____ 10_____ 11______ 12 13__ 14__ 15 16____ 17________ 18

Chunks:
  TruePositive nam [6,7] = Bolesława Leśmiana (confidence=1.00)

(ChunkerEvaluator) Sentence #518 from 00102429 from sent5

Text  : Imprezę organizują Wolne Lektury i Cyfrowa Biblioteka Polona .
Tokens: 1______ 2_________ 3____ 4______ 5 6______ 7_________ 8_____ 9

Chunks:
  TruePositive nam [3,4] = Wolne Lektury (confidence=0.98)
  TruePositive nam [6,8] = Cyfrowa Biblioteka Polona (confidence=1.00)

(ChunkerEvaluator) Sentence #519 from 00102429 from sent6

Text  : W programie szampan , ciastka od Bliklego , uwalnianie książek Leśmiana oraz oczywiście dyskusja o_ roli domeny publicznej i_ przyszłości bibliotek cyfrowych z_ udziałem przedstawicieli Ministerstwa Kultury (_ p_ ._ dyr ._ Cicha )_ i_ cyfrowych bibliotekarzy ._ "_
Tokens: 1 2________ 3______ 4 5______ 6_ 7_______ 8 9_________ 10_____ 11______ 12__ 13________ 14______ 15 16__ 17____ 18________ 19 20_________ 21_______ 22_______ 23 24______ 25_____________ 26__________ 27_____ 28 29 30 31_ 32 33___ 34 35 36_______ 37___________ 38 39

Chunks:
  TruePositive nam [7,7] = Bliklego (confidence=1.00)
  TruePositive nam [11,11] = Leśmiana (confidence=0.97)
  TruePositive nam [26,27] = Ministerstwa Kultury (confidence=1.00)
  TruePositive nam [33,33] = Cicha (confidence=0.94)

2017-06-14 20:10:12,362 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 37 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102459.xml
(ChunkerEvaluator) Sentence #520 from 00102459 from sent1

Text  : 17 maja br . o godz . 17 . 00 z_ okazji 1_ rocznicy śmierci i_ 86 rocznicy urodzin Jana Pawła II w_ czytelni Miejskiej Biblioteki Publicznej w_ Ozorkowie przy ul ._ Listopadowej 6_ odbędzie się koncert pt ._ "_ Droga do świętości "_ w_ wykonaniu zespołu "_ MARCATO "_ ze Szkoły Podstawowej nr 5_ ._
Tokens: 1_ 2___ 3_ 4 5 6___ 7 8_ 9 10 11 12____ 13 14______ 15_____ 16 17 18______ 19_____ 20__ 21___ 22 23 24______ 25_______ 26________ 27________ 28 29_______ 30__ 31 32 33__________ 34 35______ 36_ 37_____ 38 39 40 41___ 42 43_______ 44 45 46_______ 47_____ 48 49_____ 50 51 52____ 53_________ 54 55 56

Chunks:
  TruePositive nam [20,22] = Jana Pawła II (confidence=1.00)
  TruePositive nam [25,27] = Miejskiej Biblioteki Publicznej (confidence=1.00)
  TruePositive nam [29,29] = Ozorkowie (confidence=1.00)
  TruePositive nam [33,33] = Listopadowej (confidence=0.98)
  TruePositive nam [41,43] = Droga do świętości (confidence=0.99)
  TruePositive nam [49,49] = MARCATO (confidence=1.00)
  TruePositive nam [52,55] = Szkoły Podstawowej nr 5 (confidence=1.00)
  FalseNegative nam [13,15] = 1 rocznicy śmierci
  FalseNegative nam [17,19] = 86 rocznicy urodzin

(ChunkerEvaluator) Sentence #521 from 00102459 from sent2

Text  : Zapraszamy !
Tokens: 1_________ 2

Chunks:

2017-06-14 20:10:12,380 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 38 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102496.xml
(ChunkerEvaluator) Sentence #522 from 00102496 from sent1

Text  : Od dzisiaj oficjalnie gra Sztab XIV FINAŁU WOŚP w Ozorkowie (_ lista sztabów )_ ._
Tokens: 1_ 2______ 3_________ 4__ 5____ 6__ 7_____ 8___ 9 10_______ 11 12___ 13_____ 14 15

Chunks:
  TruePositive nam [10,10] = Ozorkowie (confidence=0.99)
  FalsePositive nam [7,8] = FINAŁU WOŚP (confidence=0.74) (incorrect boundry)
  FalseNegative nam [5,5] = Sztab
  FalseNegative nam [6,8] = XIV FINAŁU WOŚP

(ChunkerEvaluator) Sentence #523 from 00102496 from sent2

Text  : Serdecznie zapraszamy do współpracy wszystkie osoby o wielkich sercach ._
Tokens: 1_________ 2_________ 3_ 4_________ 5________ 6____ 7 8_______ 9______ 10

Chunks:

2017-06-14 20:10:12,388 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 39 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102503.xml
(ChunkerEvaluator) Sentence #524 from 00102503 from sent1

Text  : O czym jeszcze warto wiedzieć
Tokens: 1 2___ 3______ 4____ 5_______

Chunks:

(ChunkerEvaluator) Sentence #525 from 00102503 from sent2

Text  : Dobierając zębatki do modelu , należy zwrócić uwagę na kilka dodatkowych aspektów ._
Tokens: 1_________ 2______ 3_ 4_____ 5 6_____ 7______ 8____ 9_ 10___ 11_________ 12______ 13

Chunks:

(ChunkerEvaluator) Sentence #526 from 00102503 from sent3

Text  : Moduł
Tokens: 1____

Chunks:

(ChunkerEvaluator) Sentence #527 from 00102503 from sent4

Text  : Moduł jest podstawową wielkością , służącą do określania wymiarów zębów i_ kół zębatych ._
Tokens: 1____ 2___ 3_________ 4_________ 5 6______ 7_ 8_________ 9_______ 10___ 11 12_ 13______ 14

Chunks:

(ChunkerEvaluator) Sentence #528 from 00102503 from sent5

Text  : Aby dwie zębatki współpracowały ze sobą poprawnie , powinny mieć ten sam moduł ._
Tokens: 1__ 2___ 3______ 4_____________ 5_ 6___ 7________ 8 9______ 10__ 11_ 12_ 13___ 14

Chunks:

(ChunkerEvaluator) Sentence #529 from 00102503 from sent6

Text  : W USA zamiast pojęcia modułu stosuje się analogiczne pojęcie diametrical pitch ._
Tokens: 1 2__ 3______ 4______ 5_____ 6______ 7__ 8__________ 9______ 10_________ 11___ 12

Chunks:
  TruePositive nam [2,2] = USA (confidence=1.00)

(ChunkerEvaluator) Sentence #530 from 00102503 from sent7

Text  : Dlatego zębatki przeznaczone na rynek amerykański oznacza sie podając ich pitch i_ po nim literę P_ ._
Tokens: 1______ 2______ 3___________ 4_ 5____ 6__________ 7______ 8__ 9______ 10_ 11___ 12 13 14_ 15____ 16 17

Chunks:
  FalsePositive nam [16,16] = P (confidence=0.73) (incorrect boundry)

(ChunkerEvaluator) Sentence #531 from 00102503 from sent8

Text  : W terenowych modelach elektrycznych najczęsciej spotykane są zebatki 48P ,_ w_ modelach spalinowych stosuje się zebatki 32P ,_ a_ w_ elektrycznych modelach torowych można spotkać zębatki 64P ._
Tokens: 1 2_________ 3_______ 4____________ 5__________ 6________ 7_ 8______ 9__ 10 11 12______ 13_________ 14_____ 15_ 16_____ 17_ 18 19 20 21___________ 22______ 23______ 24___ 25_____ 26_____ 27_ 28

Chunks:
  FalsePositive nam [9,9] = 48P (confidence=0.64) (incorrect boundry)

(ChunkerEvaluator) Sentence #532 from 00102503 from sent9

Text  : Moduł wyraża się w milimetrach i definiuje się jako :_
Tokens: 1____ 2_____ 3__ 4 5__________ 6 7________ 8__ 9___ 10

Chunks:

(ChunkerEvaluator) Sentence #533 from 00102503 from sent10

Text  : m : = średnica podziałowa w mm / liczba zębów
Tokens: 1 2 3 4_______ 5_________ 6 7_ 8 9_____ 10___

Chunks:

(ChunkerEvaluator) Sentence #534 from 00102503 from sent11

Text  : Diametrical pitch definiuje sie jako :
Tokens: 1__________ 2____ 3________ 4__ 5___ 6

Chunks:

(ChunkerEvaluator) Sentence #535 from 00102503 from sent12

Text  : p : = liczba zębów / średnica podziałowa w calach
Tokens: 1 2 3 4_____ 5____ 6 7_______ 8_________ 9 10____

Chunks:

(ChunkerEvaluator) Sentence #536 from 00102503 from sent13

Text  : Znając moduł zębatki możemy wyliczyć jej diamertical pitch
Tokens: 1_____ 2____ 3______ 4_____ 5_______ 6__ 7__________ 8____

Chunks:

(ChunkerEvaluator) Sentence #537 from 00102503 from sent14

Text  : p = 25 . 4 / m
Tokens: 1 2 3_ 4 5 6 7

Chunks:

(ChunkerEvaluator) Sentence #538 from 00102503 from sent15

Text  : i identycznie w druga stronę
Tokens: 1 2__________ 3 4____ 5_____

Chunks:

(ChunkerEvaluator) Sentence #539 from 00102503 from sent16

Text  : m = 25 . 4 / p
Tokens: 1 2 3_ 4 5 6 7

Chunks:

(ChunkerEvaluator) Sentence #540 from 00102503 from sent17

Text  : Kupując zębatki do modelu trzeba być pewnym , że kupuje się zębatki o_ właściwym module ._
Tokens: 1______ 2______ 3_ 4_____ 5_____ 6__ 7_____ 8 9_ 10____ 11_ 12_____ 13 14_______ 15____ 16

Chunks:

(ChunkerEvaluator) Sentence #541 from 00102503 from sent18

Text  : Ograniczenie na rozmiar maksymalny
Tokens: 1___________ 2_ 3______ 4_________

Chunks:

(ChunkerEvaluator) Sentence #542 from 00102503 from sent19

Text  : Konstrukcja modelu może ograniczać maksymalny rozmiar stosowanych zębatek , szczególnie chodzi tu o_ zębatkę odbierająca ._
Tokens: 1__________ 2_____ 3___ 4_________ 5_________ 6______ 7__________ 8______ 9 10_________ 11____ 12 13 14_____ 15_________ 16

Chunks:

(ChunkerEvaluator) Sentence #543 from 00102503 from sent20

Text  : Innymi słowy , zbyt duża zębatka może się zwyczajnie nie zmieścić ._
Tokens: 1_____ 2____ 3 4___ 5___ 6______ 7___ 8__ 9_________ 10_ 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #544 from 00102503 from sent21

Text  : Przykładowo dla Rutslera największą zębatką odbierającą , która zmieści się do wnętrza oryginalnej osłony ,_ jest zębatka o_ 90 zębach ._
Tokens: 1__________ 2__ 3_______ 4_________ 5______ 6__________ 7 8____ 9______ 10_ 11 12_____ 13_________ 14____ 15 16__ 17_____ 18 19 20____ 21

Chunks:
  TruePositive nam [3,3] = Rutslera (confidence=0.98)

(ChunkerEvaluator) Sentence #545 from 00102503 from sent22

Text  : Spośród wielu producentów zębatek dla elektrycznych modeli RC na pewno warto polecić firmy Kimbrough ,_ Robinson Racing a_ także HPI i_ Corally
Tokens: 1______ 2____ 3__________ 4______ 5__ 6____________ 7_____ 8_ 9_ 10___ 11___ 12_____ 13___ 14_______ 15 16______ 17____ 18 19___ 20_ 21 22_____

Chunks:
  TruePositive nam [14,14] = Kimbrough (confidence=0.99)
  TruePositive nam [16,17] = Robinson Racing (confidence=1.00)
  TruePositive nam [20,20] = HPI (confidence=0.87)
  FalsePositive nam [8,8] = RC (confidence=0.99) (incorrect boundry)
  FalseNegative nam [22,22] = Corally

2017-06-14 20:10:12,455 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 40 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102669.xml
(ChunkerEvaluator) Sentence #546 from 00102669 from sent1

Text  : FILLER dzień dobry , xxx , słucham
Tokens: 1_____ 2____ 3____ 4 5__ 6 7______

Chunks:

(ChunkerEvaluator) Sentence #547 from 00102669 from sent2

Text  : FILLER dzień dobry , proszę pana , ja mam takie pytanie ,_ mam ukończone dwadzieścia sześć lat ,_ chciał em zapytać ,_ czy na legitymacje studenckie dalej będę miał zniżki na Z_ T_ M_ ,_ na kartę miejską ?_
Tokens: 1_____ 2____ 3____ 4 5_____ 6___ 7 8_ 9__ 10___ 11_____ 12 13_ 14_______ 15_________ 16___ 17_ 18 19____ 20 21_____ 22 23_ 24 25_________ 26________ 27___ 28__ 29__ 30____ 31 32 33 34 35 36 37___ 38_____ 39

Chunks:
  TruePositive nam [32,34] = Z T M (confidence=0.58)

(ChunkerEvaluator) Sentence #548 from 00102669 from sent3

Text  : jeśli jest pan studentem
Tokens: 1____ 2___ 3__ 4________

Chunks:

(ChunkerEvaluator) Sentence #549 from 00102669 from sent4

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #550 from 00102669 from sent5

Text  : studiów pierwszego albo drugiego stopnia to tak
Tokens: 1______ 2_________ 3___ 4_______ 5______ 6_ 7__

Chunks:

(ChunkerEvaluator) Sentence #551 from 00102669 from sent6

Text  : FILLER dobrze dziękuję
Tokens: 1_____ 2_____ 3_______

Chunks:

(ChunkerEvaluator) Sentence #552 from 00102669 from sent7

Text  : proszę bardzo
Tokens: 1_____ 2_____

Chunks:

(ChunkerEvaluator) Sentence #553 from 00102669 from sent8

Text  : do widzenia
Tokens: 1_ 2_______

Chunks:

(ChunkerEvaluator) Sentence #554 from 00102669 from sent9

Text  : do usłyszenia
Tokens: 1_ 2_________

Chunks:

2017-06-14 20:10:12,475 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 41 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102698.xml
(ChunkerEvaluator) Sentence #555 from 00102698 from sent1

Text  : dzień dobry , xxx , w czym mogę pomóc ?_
Tokens: 1____ 2____ 3 4__ 5 6 7___ 8___ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #556 from 00102698 from sent2

Text  : dobry , proszę pana , chciała m prosić o autobus sto osiemdziesiąt siedem z_ FILLER przystanku FILLER Hala Kopińska FILLER koło FILLER
Tokens: 1____ 2 3_____ 4___ 5 6______ 7 8_____ 9 10_____ 11_ 12___________ 13____ 14 15____ 16________ 17____ 18__ 19______ 20____ 21__ 22____

Chunks:
  TruePositive nam [18,19] = Hala Kopińska (confidence=0.99)

(ChunkerEvaluator) Sentence #557 from 00102698 from sent3

Text  : w którym kierunku ?
Tokens: 1 2_____ 3_______ 4

Chunks:

(ChunkerEvaluator) Sentence #558 from 00102698 from sent4

Text  : FILLER Wilanów . . .
Tokens: 1_____ 2______ 3 4 5

Chunks:
  TruePositive nam [2,2] = Wilanów (confidence=0.99)

(ChunkerEvaluator) Sentence #559 from 00102698 from sent5

Text  : FILLER około _ _ _ dziesiątej FILLER _ _ __ FILLER o_ znaczy od dziesiątej ,_ o_ tak jeżeli można FILLER
Tokens: 1_____ 2____ 3 4 5 6_________ 7_____ 8 9 10 11____ 12 13____ 14 15________ 16 17 18_ 19____ 20___ 21____

Chunks:

(ChunkerEvaluator) Sentence #560 from 00102698 from sent6

Text  : dziesiąta zero dziewięć
Tokens: 1________ 2___ 3_______

Chunks:

(ChunkerEvaluator) Sentence #561 from 00102698 from sent7

Text  : sekundę dziesiąta zero dziewięć
Tokens: 1______ 2________ 3___ 4_______

Chunks:

(ChunkerEvaluator) Sentence #562 from 00102698 from sent8

Text  : dziesiąta dwadzieścia cztery
Tokens: 1________ 2__________ 3_____

Chunks:

(ChunkerEvaluator) Sentence #563 from 00102698 from sent9

Text  : dwadzieścia cztery FILLER
Tokens: 1__________ 2_____ 3_____

Chunks:

(ChunkerEvaluator) Sentence #564 from 00102698 from sent10

Text  : dziesiąta trzydzieści dziewięć
Tokens: 1________ 2__________ 3_______

Chunks:

(ChunkerEvaluator) Sentence #565 from 00102698 from sent11

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #566 from 00102698 from sent12

Text  : i dziesiąta pięćdziesiąt cztery
Tokens: 1 2________ 3___________ 4_____

Chunks:

(ChunkerEvaluator) Sentence #567 from 00102698 from sent13

Text  : pięćdziesiąt cztery
Tokens: 1___________ 2_____

Chunks:

(ChunkerEvaluator) Sentence #568 from 00102698 from sent14

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #569 from 00102698 from sent15

Text  : proszę pana , czy później o jedenastej też się powtarzają takie FILLER minuty czy nie ?_
Tokens: 1_____ 2___ 3 4__ 5______ 6 7_________ 8__ 9__ 10________ 11___ 12____ 13____ 14_ 15_ 16

Chunks:

(ChunkerEvaluator) Sentence #570 from 00102698 from sent16

Text  : tak , proszę pani , aż do godziny czternastej są tak samo
Tokens: 1__ 2 3_____ 4___ 5 6_ 7_ 8______ 9__________ 10 11_ 12__

Chunks:

(ChunkerEvaluator) Sentence #571 from 00102698 from sent17

Text  : dziękuję bardzo
Tokens: 1_______ 2_____

Chunks:

(ChunkerEvaluator) Sentence #572 from 00102698 from sent18

Text  : proszę bardzo
Tokens: 1_____ 2_____

Chunks:

(ChunkerEvaluator) Sentence #573 from 00102698 from sent19

Text  : widzenia
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #574 from 00102698 from sent20

Text  : do usłyszenia
Tokens: 1_ 2_________

Chunks:

2017-06-14 20:10:12,510 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 42 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102701.xml
(ChunkerEvaluator) Sentence #575 from 00102701 from sent1

Text  : xxx , dzień dobry
Tokens: 1__ 2 3____ 4____

Chunks:

(ChunkerEvaluator) Sentence #576 from 00102701 from sent2

Text  : dzień dobry , ja chcę zapytać FILLER żeby być na Dworcu Zachodnim FILLER z_ Sadyby na Dworzec Zachodni na piętnastą trzydzieści to jak mam jechać i_
Tokens: 1____ 2____ 3 4_ 5___ 6______ 7_____ 8___ 9__ 10 11____ 12_______ 13____ 14 15____ 16 17_____ 18______ 19 20_______ 21_________ 22 23_ 24_ 25____ 26

Chunks:
  TruePositive nam [11,12] = Dworcu Zachodnim (confidence=1.00)
  TruePositive nam [15,15] = Sadyby (confidence=1.00)
  TruePositive nam [17,18] = Dworzec Zachodni (confidence=1.00)

(ChunkerEvaluator) Sentence #577 from 00102701 from sent3

Text  : ale od pętli Sadyba ?
Tokens: 1__ 2_ 3____ 4_____ 5

Chunks:
  TruePositive nam [4,4] = Sadyba (confidence=1.00)

(ChunkerEvaluator) Sentence #578 from 00102701 from sent4

Text  : od Sadyby
Tokens: 1_ 2_____

Chunks:
  TruePositive nam [2,2] = Sadyby (confidence=0.90)

(ChunkerEvaluator) Sentence #579 from 00102701 from sent5

Text  : ale z pętli tej na Sadybie ?
Tokens: 1__ 2 3____ 4__ 5_ 6______ 7

Chunks:
  TruePositive nam [6,6] = Sadybie (confidence=1.00)

(ChunkerEvaluator) Sentence #580 from 00102701 from sent6

Text  : z pętli FILLER od ulicy Bonifacego
Tokens: 1 2____ 3_____ 4_ 5____ 6_________

Chunks:
  TruePositive nam [6,6] = Bonifacego (confidence=1.00)

(ChunkerEvaluator) Sentence #581 from 00102701 from sent7

Text  : FILLER Bonifacego gdzie , przy Klarysewskiej .
Tokens: 1_____ 2_________ 3____ 4 5___ 6____________ 7

Chunks:
  TruePositive nam [2,2] = Bonifacego (confidence=1.00)
  TruePositive nam [6,6] = Klarysewskiej (confidence=0.96)

(ChunkerEvaluator) Sentence #582 from 00102701 from sent8

Text  : przy Sobieskiego ?
Tokens: 1___ 2__________ 3

Chunks:
  TruePositive nam [2,2] = Sobieskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #583 from 00102701 from sent9

Text  : przy Klarysewskiej
Tokens: 1___ 2____________

Chunks:
  TruePositive nam [2,2] = Klarysewskiej (confidence=0.95)

(ChunkerEvaluator) Sentence #584 from 00102701 from sent10

Text  : przy Klarysewskiej i na którą ma pani być ?
Tokens: 1___ 2____________ 3 4_ 5____ 6_ 7___ 8__ 9

Chunks:
  TruePositive nam [2,2] = Klarysewskiej (confidence=0.95)

(ChunkerEvaluator) Sentence #585 from 00102701 from sent11

Text  : FILLER na piętnastą trzydzieści
Tokens: 1_____ 2_ 3________ 4__________

Chunks:

(ChunkerEvaluator) Sentence #586 from 00102701 from sent12

Text  : już mam
Tokens: 1__ 2__

Chunks:

(ChunkerEvaluator) Sentence #587 from 00102701 from sent13

Text  : na piętnastą
Tokens: 1_ 2________

Chunks:

(ChunkerEvaluator) Sentence #588 from 00102701 from sent14

Text  : trzydzieści znaczy , jest bezpośredni autobus tam na pętlę na Zachodni -_ sto siedemdziesiąt dwa ,_ on jedzie około czterdziestu minut
Tokens: 1__________ 2_____ 3 4___ 5__________ 6______ 7__ 8_ 9____ 10 11______ 12 13_ 14____________ 15_ 16 17 18____ 19___ 20__________ 21___

Chunks:
  TruePositive nam [11,11] = Zachodni (confidence=0.89)

(ChunkerEvaluator) Sentence #589 from 00102701 from sent15

Text  : FILLER . . .
Tokens: 1_____ 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #590 from 00102701 from sent16

Text  : z Klarysewskiej FILLER piętnasta trzydzieści tam _ _ _ na miejscu ,_ tak ?_
Tokens: 1 2____________ 3_____ 4________ 5__________ 6__ 7 8 9 10 11_____ 12 13_ 14

Chunks:
  TruePositive nam [2,2] = Klarysewskiej (confidence=0.97)

(ChunkerEvaluator) Sentence #591 from 00102701 from sent17

Text  : tak . . .
Tokens: 1__ 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #592 from 00102701 from sent18

Text  : proszę pani , no jest czternasta czterdzieści dwa , wtedy chyba był by najbezpieczniejszy ,_ bo później jest pięćdziesiąt jeden ._ ._ ._
Tokens: 1_____ 2___ 3 4_ 5___ 6_________ 7___________ 8__ 9 10___ 11___ 12_ 13 14________________ 15 16 17_____ 18__ 19__________ 20___ 21 22 23

Chunks:

(ChunkerEvaluator) Sentence #593 from 00102701 from sent19

Text  : czternasta czterdzieści dwa
Tokens: 1_________ 2___________ 3__

Chunks:

(ChunkerEvaluator) Sentence #594 from 00102701 from sent20

Text  : tak . . .
Tokens: 1__ 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #595 from 00102701 from sent21

Text  : trzydzieści pięć do czterdziestu minut jedzie . . .
Tokens: 1__________ 2___ 3_ 4___________ 5____ 6_____ 7 8 9

Chunks:

(ChunkerEvaluator) Sentence #596 from 00102701 from sent22

Text  : a wcześniejszy ?
Tokens: 1 2___________ 3

Chunks:

(ChunkerEvaluator) Sentence #597 from 00102701 from sent23

Text  : FILLER czternasta dwadzieścia dziewięć
Tokens: 1_____ 2_________ 3__________ 4_______

Chunks:

(ChunkerEvaluator) Sentence #598 from 00102701 from sent24

Text  : czternasta dwadzieścia dziewięć , dwadzieścia dziewięć , czterdzieści dwa i_ pięćdziesiąt jeden
Tokens: 1_________ 2__________ 3_______ 4 5__________ 6_______ 7 8___________ 9__ 10 11__________ 12___

Chunks:

(ChunkerEvaluator) Sentence #599 from 00102701 from sent25

Text  : tak . . .
Tokens: 1__ 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #600 from 00102701 from sent26

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #601 from 00102701 from sent27

Text  : dobrze . . .
Tokens: 1_____ 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #602 from 00102701 from sent28

Text  : dobrze to dziękuję
Tokens: 1_____ 2_ 3_______

Chunks:

(ChunkerEvaluator) Sentence #603 from 00102701 from sent29

Text  : proszę bardzo
Tokens: 1_____ 2_____

Chunks:

(ChunkerEvaluator) Sentence #604 from 00102701 from sent30

Text  : do widzenia
Tokens: 1_ 2_______

Chunks:

(ChunkerEvaluator) Sentence #605 from 00102701 from sent31

Text  : do widzenia
Tokens: 1_ 2_______

Chunks:

2017-06-14 20:10:12,563 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 43 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102716.xml
(ChunkerEvaluator) Sentence #606 from 00102716 from sent1

Text  : dobry wieczór , xxx , słucham
Tokens: 1____ 2______ 3 4__ 5 6______

Chunks:

(ChunkerEvaluator) Sentence #607 from 00102716 from sent2

Text  : FILLER dobry wieczór , tramwaj FILLER Targowa Lubelska tutaj w_ stronę Gocławia
Tokens: 1_____ 2____ 3______ 4 5______ 6_____ 7______ 8_______ 9____ 10 11____ 12______

Chunks:
  TruePositive nam [12,12] = Gocławia (confidence=1.00)
  FalsePositive nam [7,8] = Targowa Lubelska (confidence=1.00) (incorrect boundry)
  FalseNegative nam [7,7] = Targowa
  FalseNegative nam [8,8] = Lubelska

(ChunkerEvaluator) Sentence #608 from 00102716 from sent3

Text  : a jaka linia
Tokens: 1 2___ 3____

Chunks:

(ChunkerEvaluator) Sentence #609 from 00102716 from sent4

Text  : FILLER dwadzieścia sześć FILLER co może jeszcze jeździć ósemka
Tokens: 1_____ 2__________ 3____ 4_____ 5_ 6___ 7______ 8______ 9_____

Chunks:

(ChunkerEvaluator) Sentence #610 from 00102716 from sent5

Text  : w stronę Gocławka
Tokens: 1 2_____ 3_______

Chunks:
  TruePositive nam [3,3] = Gocławka (confidence=1.00)

(ChunkerEvaluator) Sentence #611 from 00102716 from sent6

Text  : szóstka w stronę Gocławia FILLER
Tokens: 1______ 2 3_____ 4_______ 5_____

Chunks:
  TruePositive nam [4,4] = Gocławia (confidence=1.00)

(ChunkerEvaluator) Sentence #612 from 00102716 from sent7

Text  : Gocławka
Tokens: 1_______

Chunks:
  TruePositive nam [1,1] = Gocławka (confidence=0.54)

(ChunkerEvaluator) Sentence #613 from 00102716 from sent8

Text  : Gocławka ?
Tokens: 1_______ 2

Chunks:
  TruePositive nam [1,1] = Gocławka (confidence=0.55)

(ChunkerEvaluator) Sentence #614 from 00102716 from sent9

Text  : . . .
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #615 from 00102716 from sent10

Text  : wie pan , potrzebuję do Ronda Wiatraczna dojechać . ._ ._
Tokens: 1__ 2__ 3 4_________ 5_ 6____ 7_________ 8_______ 9 10 11

Chunks:
  TruePositive nam [6,7] = Ronda Wiatraczna (confidence=1.00)

(ChunkerEvaluator) Sentence #616 from 00102716 from sent11

Text  : z jakiego przystanku na Targowej ?
Tokens: 1 2______ 3_________ 4_ 5_______ 6

Chunks:
  TruePositive nam [5,5] = Targowej (confidence=0.99)

(ChunkerEvaluator) Sentence #617 from 00102716 from sent12

Text  : Lubelska . . .
Tokens: 1_______ 2 3 4

Chunks:
  FalseNegative nam [1,1] = Lubelska

(ChunkerEvaluator) Sentence #618 from 00102716 from sent13

Text  : to już jest na Grochowskiej
Tokens: 1_ 2__ 3___ 4_ 5___________

Chunks:
  TruePositive nam [5,5] = Grochowskiej (confidence=0.99)

(ChunkerEvaluator) Sentence #619 from 00102716 from sent14

Text  : Zamoyskiego Lubelska to będzie chyba nie ?
Tokens: 1__________ 2_______ 3_ 4_____ 5____ 6__ 7

Chunks:
  FalsePositive nam [1,2] = Zamoyskiego Lubelska (confidence=1.00) (incorrect boundry)
  FalseNegative nam [1,1] = Zamoyskiego
  FalseNegative nam [2,2] = Lubelska

(ChunkerEvaluator) Sentence #620 from 00102716 from sent15

Text  : . . .
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #621 from 00102716 from sent16

Text  : no tu _ _ _ kończy się Zamoyskiego zaczyna Grochowska
Tokens: 1_ 2_ 3 4 5 6_____ 7__ 8__________ 9______ 10________

Chunks:
  TruePositive nam [8,8] = Zamoyskiego (confidence=1.00)
  TruePositive nam [10,10] = Grochowska (confidence=0.56)

(ChunkerEvaluator) Sentence #622 from 00102716 from sent17

Text  : tak . . .
Tokens: 1__ 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #623 from 00102716 from sent18

Text  : czy trójki to już nie będzie bo ona w teraz już wcześniej
Tokens: 1__ 2_____ 3_ 4__ 5__ 6_____ 7_ 8__ 9 10___ 11_ 12_______

Chunks:

(ChunkerEvaluator) Sentence #624 from 00102716 from sent19

Text  : kończy . . .
Tokens: 1_____ 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #625 from 00102716 from sent20

Text  : szóstka
Tokens: 1______

Chunks:

(ChunkerEvaluator) Sentence #626 from 00102716 from sent21

Text  : szóstka może być . . .
Tokens: 1______ 2___ 3__ 4 5 6

Chunks:

(ChunkerEvaluator) Sentence #627 from 00102716 from sent22

Text  : FILLER dwudziesta trzecia trzy ostatnia szóstka ósemki też już nie będzie
Tokens: 1_____ 2_________ 3______ 4___ 5_______ 6______ 7_____ 8__ 9__ 10_ 11____

Chunks:

(ChunkerEvaluator) Sentence #628 from 00102716 from sent23

Text  : a dwadzieścia sześć ?
Tokens: 1 2__________ 3____ 4

Chunks:

(ChunkerEvaluator) Sentence #629 from 00102716 from sent24

Text  : . . .
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #630 from 00102716 from sent25

Text  : dwudziesta FILLER druga pięćdziesiąt osiem , dwudziesta trzecia osiemnaście ,_ trzydzieści osiem
Tokens: 1_________ 2_____ 3____ 4___________ 5____ 6 7_________ 8______ 9__________ 10 11_________ 12___

Chunks:

(ChunkerEvaluator) Sentence #631 from 00102716 from sent26

Text  : dobrze , dziękuję uprzejmie
Tokens: 1_____ 2 3_______ 4________

Chunks:

(ChunkerEvaluator) Sentence #632 from 00102716 from sent27

Text  : proszę bardzo
Tokens: 1_____ 2_____

Chunks:

(ChunkerEvaluator) Sentence #633 from 00102716 from sent28

Text  : dobranoc
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #634 from 00102716 from sent29

Text  : dobranoc
Tokens: 1_______

Chunks:

2017-06-14 20:10:12,605 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 44 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103578.xml
(ChunkerEvaluator) Sentence #635 from 00103578 from sent1

Text  : Odwracam się plecami do świata i wracam w ciasne ,_ wymiecione uliczki ._
Tokens: 1_______ 2__ 3______ 4_ 5_____ 6 7_____ 8 9_____ 10 11________ 12_____ 13

Chunks:

(ChunkerEvaluator) Sentence #636 from 00103578 from sent2

Text  : Bardziej , niż gdzie indziej mam ochotę zaglądać ludziom do okien ._
Tokens: 1_______ 2 3__ 4____ 5______ 6__ 7_____ 8_______ 9______ 10 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #637 from 00103578 from sent3

Text  : Podglądać ich życie .
Tokens: 1________ 2__ 3____ 4

Chunks:

(ChunkerEvaluator) Sentence #638 from 00103578 from sent4

Text  : Nie jest tak samo , bardziej niż gdzie indziej czas stanął w_ miejscu ,_ bo do najbliższego supermarketu we Władysławowie jest 50 kilometrów ._
Tokens: 1__ 2___ 3__ 4___ 5 6_______ 7__ 8____ 9______ 10__ 11____ 12 13_____ 14 15 16 17__________ 18__________ 19 20___________ 21__ 22 23________ 24

Chunks:
  TruePositive nam [20,20] = Władysławowie (confidence=1.00)

(ChunkerEvaluator) Sentence #639 from 00103578 from sent5

Text  : Więc rodzina bardziej niż gdzie indziej siada nabożnie do cotygodniowej gazetki przywożonej przez listonosza i_ oglądają wszyscy razem te produkty ._
Tokens: 1___ 2______ 3_______ 4__ 5____ 6______ 7____ 8_______ 9_ 10___________ 11_____ 12_________ 13___ 14________ 15 16______ 17_____ 18___ 19 20______ 21

Chunks:

(ChunkerEvaluator) Sentence #640 from 00103578 from sent6

Text  : I biorą czarny flamaster i piszą na marginesie , co trzeba kupić i_ mają ze sobą gazetkę ,_ gdyby zapomnieli o_ jakiejś promocji ,_ ale do czasu zakupów nauczą się jej na pamięć ._
Tokens: 1 2____ 3_____ 4________ 5 6____ 7_ 8_________ 9 10 11____ 12___ 13 14__ 15 16__ 17_____ 18 19___ 20________ 21 22_____ 23______ 24 25_ 26 27___ 28_____ 29____ 30_ 31_ 32 33____ 34

Chunks:

(ChunkerEvaluator) Sentence #641 from 00103578 from sent7

Text  : Przerzucają w sklepie wyświechtane brzegi i dziwią się i nie mogą zrozumieć ,_ że czas promocji jest ograniczony i_ znowu nie zdążyli ,_ bo gdyby do sklepu było bliżej ,_ to może by zdążyli …_
Tokens: 1__________ 2 3______ 4___________ 5_____ 6 7_____ 8__ 9 10_ 11__ 12_______ 13 14 15__ 16______ 17__ 18_________ 19 20___ 21_ 22_____ 23 24 25___ 26 27____ 28__ 29____ 30 31 32__ 33 34_____ 35

Chunks:

(ChunkerEvaluator) Sentence #642 from 00103578 from sent8

Text  : Bardziej niż gdzie indziej ludzie powinni chronić prywatność , bo jest ich tak mało i_ wszystko o_ sobie wiedzą ,_ a_ oni tego nie robią ._
Tokens: 1_______ 2__ 3____ 4______ 5_____ 6______ 7______ 8_________ 9 10 11__ 12_ 13_ 14__ 15 16______ 17 18___ 19____ 20 21 22_ 23__ 24_ 25___ 26

Chunks:

(ChunkerEvaluator) Sentence #643 from 00103578 from sent9

Text  : I mijam okno za oknem , dom za domem i_ wszędzie widzę pochylone nad gazetką reklamową głowy ._
Tokens: 1 2____ 3___ 4_ 5____ 6 7__ 8_ 9____ 10 11______ 12___ 13_______ 14_ 15_____ 16_______ 17___ 18

Chunks:

(ChunkerEvaluator) Sentence #644 from 00103578 from sent10

Text  : Może żeby zrozumieć matkę , powinna m przyjechać latem ._
Tokens: 1___ 2___ 3________ 4____ 5 6______ 7 8_________ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #645 from 00103578 from sent11

Text  : Kiedy wiatr zwala z nóg ciepłym powietrzem .
Tokens: 1____ 2____ 3____ 4 5__ 6______ 7_________ 8

Chunks:

(ChunkerEvaluator) Sentence #646 from 00103578 from sent12

Text  : Kiedy uliczki są pełne turystów , a w każdej budce sprzedają gofry i_ lody ._
Tokens: 1____ 2______ 3_ 4____ 5_______ 6 7 8 9_____ 10___ 11_______ 12___ 13 14__ 15

Chunks:

(ChunkerEvaluator) Sentence #647 from 00103578 from sent13

Text  : Hel tętni nie swoim życiem , ludzie przeżywają niekiedy najpiękniejsze chwile swojego życia ._
Tokens: 1__ 2____ 3__ 4____ 5_____ 6 7_____ 8_________ 9_______ 10____________ 11____ 12_____ 13___ 14

Chunks:
  FalseNegative nam [1,1] = Hel

(ChunkerEvaluator) Sentence #648 from 00103578 from sent14

Text  : Teraz , odarty z wszelkiej wakacyjnej atrakcyjności nic nie musi ._
Tokens: 1____ 2 3_____ 4 5________ 6_________ 7____________ 8__ 9__ 10__ 11

Chunks:

(ChunkerEvaluator) Sentence #649 from 00103578 from sent15

Text  : A matka zawsze powtarzała , że to jedyne w swoim rodzaju miejsce na ziemi ._
Tokens: 1 2____ 3_____ 4_________ 5 6_ 7_ 8_____ 9 10___ 11_____ 12_____ 13 14___ 15

Chunks:

(ChunkerEvaluator) Sentence #650 from 00103578 from sent16

Text  : Wakacje musiały być na Helu .
Tokens: 1______ 2______ 3__ 4_ 5___ 6

Chunks:
  TruePositive nam [5,5] = Helu (confidence=1.00)

(ChunkerEvaluator) Sentence #651 from 00103578 from sent17

Text  : Musiała m to sprawdzić , przekonać się .
Tokens: 1______ 2 3_ 4________ 5 6________ 7__ 8

Chunks:

(ChunkerEvaluator) Sentence #652 from 00103578 from sent18

Text  : Od czasów dzieciństwa wiatr łączy się dla mnie z jednym miejscem na ziemi ._
Tokens: 1_ 2_____ 3__________ 4____ 5____ 6__ 7__ 8___ 9 10____ 11______ 12 13___ 14

Chunks:

(ChunkerEvaluator) Sentence #653 from 00103578 from sent19

Text  : Gdzie by m nie była , zamykam oczy i widzę plażę ._
Tokens: 1____ 2_ 3 4__ 5___ 6 7______ 8___ 9 10___ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #654 from 00103578 from sent20

Text  : Mijam skupione w krąg nastolatki , stojące na rogu ulicy ._
Tokens: 1____ 2_______ 3 4___ 5_________ 6 7______ 8_ 9___ 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #655 from 00103578 from sent21

Text  : Ludzie z psami , wałęsające się koty .
Tokens: 1_____ 2 3____ 4 5_________ 6__ 7___ 8

Chunks:

(ChunkerEvaluator) Sentence #656 from 00103578 from sent22

Text  : Próbuję gdzieś pójść , znaleźć inną drogę .
Tokens: 1______ 2_____ 3____ 4 5______ 6___ 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #657 from 00103578 from sent23

Text  : Zawsze trafiam nad morze , prześladuje mnie szum fal ._
Tokens: 1_____ 2______ 3__ 4____ 5 6__________ 7___ 8___ 9__ 10

Chunks:

(ChunkerEvaluator) Sentence #658 from 00103578 from sent24

Text  : Głowa mnie boli i powinna m napić się kawy ._
Tokens: 1____ 2___ 3___ 4 5______ 6 7____ 8__ 9___ 10

Chunks:

(ChunkerEvaluator) Sentence #659 from 00103578 from sent25

Text  : To tu .
Tokens: 1_ 2_ 3

Chunks:

(ChunkerEvaluator) Sentence #660 from 00103578 from sent26

Text  : Zawsze w tym pasie piasku rozkładały śmy koc i wbijały śmy w_ piasek parawan ._
Tokens: 1_____ 2 3__ 4____ 5_____ 6_________ 7__ 8__ 9 10_____ 11_ 12 13____ 14_____ 15

Chunks:

(ChunkerEvaluator) Sentence #661 from 00103578 from sent27

Text  : To nasze miejsce , nawet po latach .
Tokens: 1_ 2____ 3______ 4 5____ 6_ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #662 from 00103578 from sent28

Text  : Mama nie umiała rozłożyć się gdzie indziej .
Tokens: 1___ 2__ 3_____ 4_______ 5__ 6____ 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #663 from 00103578 from sent29

Text  : Przez tyle lat , zawsze w tym samym miejscu ._
Tokens: 1____ 2___ 3__ 4 5_____ 6 7__ 8____ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #664 from 00103578 from sent30

Text  : Powinna m już jechać , zdrętwiały mi wszystkie palce ,_ ale wciąż włóczę się bez celu ._
Tokens: 1______ 2 3__ 4_____ 5 6_________ 7_ 8________ 9____ 10 11_ 12___ 13____ 14_ 15_ 16__ 17

Chunks:

(ChunkerEvaluator) Sentence #665 from 00103578 from sent31

Text  : Krążę , próbuję zapamiętać raz na zawsze to miejsce ._
Tokens: 1____ 2 3______ 4_________ 5__ 6_ 7_____ 8_ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #666 from 00103578 from sent32

Text  : Zapach ryb nieznośnie przykleja mi się do nosa , wszystko przesiąknięte jest morzem ._
Tokens: 1_____ 2__ 3_________ 4________ 5_ 6__ 7_ 8___ 9 10______ 11___________ 12__ 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #667 from 00103578 from sent33

Text  : Chcę znaleźć jeszcze dom , w którym zawsze mieszkały śmy ,_ każde wakacje tak samo ._
Tokens: 1___ 2______ 3______ 4__ 5 6 7_____ 8_____ 9________ 10_ 11 12___ 13_____ 14_ 15__ 16

Chunks:

(ChunkerEvaluator) Sentence #668 from 00103578 from sent34

Text  : Stoi niepozorny i mały , przedziwnie zmniejszony przez perspektywę dorosłej osoby ._
Tokens: 1___ 2_________ 3 4___ 5 6__________ 7__________ 8____ 9__________ 10______ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #669 from 00103578 from sent35

Text  : Okna są wymienione i dom odmalowany .
Tokens: 1___ 2_ 3_________ 4 5__ 6_________ 7

Chunks:

(ChunkerEvaluator) Sentence #670 from 00103578 from sent36

Text  : Wkurza mnie nagle mój sentymentalizm .
Tokens: 1_____ 2___ 3____ 4__ 5_____________ 6

Chunks:

(ChunkerEvaluator) Sentence #671 from 00103578 from sent37

Text  : Czego właściwie szukam , próbuję coś zrozumieć , sobie udowodnić ._
Tokens: 1____ 2________ 3_____ 4 5______ 6__ 7________ 8 9____ 10_______ 11

Chunks:

(ChunkerEvaluator) Sentence #672 from 00103578 from sent38

Text  : Zamiast się po prostu pogodzić .
Tokens: 1______ 2__ 3_ 4_____ 5_______ 6

Chunks:

(ChunkerEvaluator) Sentence #673 from 00103578 from sent39

Text  : Wyciągam z pamięci luźne fakty , próbuję z nich stworzyć swoją historię ._
Tokens: 1_______ 2 3______ 4____ 5____ 6 7______ 8 9___ 10______ 11___ 12______ 13

Chunks:

(ChunkerEvaluator) Sentence #674 from 00103578 from sent40

Text  : Jakie to ma znaczenie ?
Tokens: 1____ 2_ 3_ 4________ 5

Chunks:

(ChunkerEvaluator) Sentence #675 from 00103578 from sent41

Text  : Mam jedno popołudnie wolne i zamiast zająć się sobą ,_ jadę tutaj chyba tylko po to ,_ by bardziej zmarznąć ._
Tokens: 1__ 2____ 3_________ 4____ 5 6______ 7____ 8__ 9___ 10 11__ 12___ 13___ 14___ 15 16 17 18 19______ 20______ 21

Chunks:

2017-06-14 20:10:12,744 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 45 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103674.xml
(ChunkerEvaluator) Sentence #676 from 00103674 from sent1

Text  : Oto słowa prawdy : … prezydentura Lecha Kaczyńskiego była najgorszą w_ dziejach Rzeczypospolitej ,_ wliczając w_ to również rządy Bolesława B_ ._
Tokens: 1__ 2____ 3_____ 4 5 6___________ 7____ 8___________ 9___ 10_______ 11 12______ 13______________ 14 15_______ 16 17 18_____ 19___ 20_______ 21 22

Chunks:
  TruePositive nam [7,8] = Lecha Kaczyńskiego (confidence=1.00)
  TruePositive nam [13,13] = Rzeczypospolitej (confidence=0.98)
  TruePositive nam [20,22] = Bolesława B . (confidence=1.00)

(ChunkerEvaluator) Sentence #677 from 00103674 from sent2

Text  : Była w wielu momentach kompromitacją na skalę międzynarodową .
Tokens: 1___ 2 3____ 4________ 5____________ 6_ 7____ 8_____________ 9

Chunks:

(ChunkerEvaluator) Sentence #678 from 00103674 from sent3

Text  : Była nienowoczesna , aintelektualna , zaściankowa , antyeuropejska , konserwatywna znacznie ponad normy przyjęte na naszym kontynencie dla cywilizowanego konserwatyzmu ._
Tokens: 1___ 2____________ 3 4_____________ 5 6__________ 7 8_____________ 9 10___________ 11______ 12___ 13___ 14______ 15 16____ 17_________ 18_ 19____________ 20___________ 21

Chunks:

(ChunkerEvaluator) Sentence #679 from 00103674 from sent4

Text  : Być może , Lech Kaczyński był prywatnie uroczym człowiekiem –_ chcę w_ to wierzyć ._
Tokens: 1__ 2___ 3 4___ 5________ 6__ 7________ 8______ 9__________ 10 11__ 12 13 14_____ 15

Chunks:
  TruePositive nam [4,5] = Lech Kaczyński (confidence=1.00)

(ChunkerEvaluator) Sentence #680 from 00103674 from sent5

Text  : Ale jako prezydent był fatalny .
Tokens: 1__ 2___ 3________ 4__ 5______ 6

Chunks:

(ChunkerEvaluator) Sentence #681 from 00103674 from sent6

Text  : Jeśli on znajduje nierozsądną decyzją p . Dziwisza miejsca na Wawelu –_ obok Jana III ,_ Kościuszki i_ Józefa Piłsudskiego –_ to dla Wałęsy trzeba będzie wybudować piramidę ._
Tokens: 1____ 2_ 3_______ 4__________ 5______ 6 7 8_______ 9______ 10 11____ 12 13__ 14__ 15_ 16 17________ 18 19____ 20__________ 21 22 23_ 24____ 25____ 26____ 27_______ 28______ 29

Chunks:
  TruePositive nam [11,11] = Wawelu (confidence=1.00)
  TruePositive nam [14,15] = Jana III (confidence=1.00)
  TruePositive nam [17,17] = Kościuszki (confidence=1.00)
  TruePositive nam [19,20] = Józefa Piłsudskiego (confidence=1.00)
  TruePositive nam [24,24] = Wałęsy (confidence=0.99)
  FalseNegative nam [8,8] = Dziwisza

(ChunkerEvaluator) Sentence #682 from 00103674 from sent7

Text  : Wstyd .
Tokens: 1____ 2

Chunks:

(ChunkerEvaluator) Sentence #683 from 00103674 from sent8

Text  : Nieporozumienie .
Tokens: 1______________ 2

Chunks:

(ChunkerEvaluator) Sentence #684 from 00103674 from sent9

Text  : Na marginesie ogólnonarodowej histerii , którą – moim zdaniem –_ w_ dużej mierze zawdzięczamy mediom ._
Tokens: 1_ 2_________ 3______________ 4_______ 5 6____ 7 8___ 9______ 10 11 12___ 13____ 14__________ 15____ 16

Chunks:

(ChunkerEvaluator) Sentence #685 from 00103674 from sent10

Text  : Jedna osoba wzbudziła mój najwyższy szacunek i ogromną sympatię w_ tych trudnych chwilach :_ Małgorzata Szmajdzińska ._
Tokens: 1____ 2____ 3________ 4__ 5________ 6_______ 7 8______ 9_______ 10 11__ 12______ 13______ 14 15________ 16__________ 17

Chunks:
  TruePositive nam [15,16] = Małgorzata Szmajdzińska (confidence=1.00)

(ChunkerEvaluator) Sentence #686 from 00103674 from sent11

Text  : W rozmowie z Kamilem Durczokiem wykazała wczoraj maksymalne opanowanie ,_ najwyższą klasę ,_ ogromną inteligencję ._
Tokens: 1 2_______ 3 4______ 5_________ 6_______ 7______ 8_________ 9_________ 10 11_______ 12___ 13 14_____ 15__________ 16

Chunks:
  TruePositive nam [4,5] = Kamilem Durczokiem (confidence=1.00)

(ChunkerEvaluator) Sentence #687 from 00103674 from sent12

Text  : Zero egzaltacji , zero łez ; nawet uśmiech .
Tokens: 1___ 2_________ 3 4___ 5__ 6 7____ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #688 from 00103674 from sent13

Text  : Wspaniała , dzielna i bardzo mądra kobieta .
Tokens: 1________ 2 3______ 4 5_____ 6____ 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #689 from 00103674 from sent14

Text  : Uderzające było to , że w całej rozmowie ani razu nie powiedziała o_ mężu w_ czasie przeszłym ._
Tokens: 1_________ 2___ 3_ 4 5_ 6 7____ 8_______ 9__ 10__ 11_ 12_________ 13 14__ 15 16____ 17_______ 18

Chunks:

(ChunkerEvaluator) Sentence #690 from 00103674 from sent15

Text  : Rozkleiła się dopiero na lotnisku , odbierając trumnę z jego zwłokami ._
Tokens: 1________ 2__ 3______ 4_ 5_______ 6 7_________ 8_____ 9 10__ 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #691 from 00103674 from sent16

Text  : Skoro zaś mówimy o mediach : Monika Olejnik .
Tokens: 1____ 2__ 3_____ 4 5______ 6 7_____ 8______ 9

Chunks:
  TruePositive nam [7,8] = Monika Olejnik (confidence=1.00)

(ChunkerEvaluator) Sentence #692 from 00103674 from sent17

Text  : Całkowity brak profesjonalizmu .
Tokens: 1________ 2___ 3______________ 4

Chunks:

(ChunkerEvaluator) Sentence #693 from 00103674 from sent18

Text  : Kompromitujące szlochy na wizji ( na marginesie : sam się łatwo wzruszam –_ i_ dlatego nigdy w_ życiu nie zgodził by m_ się poprowadzić żadnego programu ,_ grożącego emocjami ;_ nawet sprawozdania z_ defilady wojskowej )_ ._
Tokens: 1_____________ 2______ 3_ 4____ 5 6_ 7_________ 8 9__ 10_ 11___ 12______ 13 14 15_____ 16___ 17 18___ 19_ 20_____ 21 22 23_ 24_________ 25_____ 26______ 27 28_______ 29______ 30 31___ 32__________ 33 34______ 35_______ 36 37

Chunks:

(ChunkerEvaluator) Sentence #694 from 00103674 from sent19

Text  : Powinien to być koniec kariery tej pani .
Tokens: 1_______ 2_ 3__ 4_____ 5______ 6__ 7___ 8

Chunks:

(ChunkerEvaluator) Sentence #695 from 00103674 from sent20

Text  : Media nie są od interpretacji , ani wzbudzania emocji ._
Tokens: 1____ 2__ 3_ 4_ 5____________ 6 7__ 8_________ 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #696 from 00103674 from sent21

Text  : Media są od przekazywania zimnych faktów ; z kamienną twarzą ._
Tokens: 1____ 2_ 3_ 4____________ 5______ 6_____ 7 8 9_______ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #697 from 00103674 from sent22

Text  : Kto tego nie pojmuje , powinien zajmować się hodowlą pietruszki ,_ nie dziennikarstwem ._
Tokens: 1__ 2___ 3__ 4______ 5 6_______ 7_______ 8__ 9______ 10________ 11 12_ 13_____________ 14

Chunks:

2017-06-14 20:10:12,820 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 46 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103762.xml
(ChunkerEvaluator) Sentence #698 from 00103762 from sent1

Text  : SOKOLNIKI : Kabaret Słuchajcie Oraz Mariusz Kałamaga
Tokens: 1________ 2 3______ 4_________ 5___ 6______ 7_______

Chunks:
  TruePositive nam [1,1] = SOKOLNIKI (confidence=0.78)
  FalsePositive nam [3,7] = Kabaret Słuchajcie Oraz Mariusz Kałamaga (confidence=0.93) (incorrect boundry)
  FalseNegative nam [3,4] = Kabaret Słuchajcie
  FalseNegative nam [6,7] = Mariusz Kałamaga

(ChunkerEvaluator) Sentence #699 from 00103762 from sent2

Text  : Z cyklu wieczór kabaretowy w Sokolnikach : Kabaret Słuchajcie oraz Mariusz Kałamaga ._
Tokens: 1 2____ 3______ 4_________ 5 6__________ 7 8______ 9_________ 10__ 11_____ 12______ 13

Chunks:
  TruePositive nam [6,6] = Sokolnikach (confidence=1.00)
  TruePositive nam [8,9] = Kabaret Słuchajcie (confidence=0.97)
  TruePositive nam [11,12] = Mariusz Kałamaga (confidence=1.00)

2017-06-14 20:10:12,827 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 47 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103873.xml
(ChunkerEvaluator) Sentence #700 from 00103873 from sent1

Text  : Jak się narodziło Drzewo Świata , taką opowieść ludzie przekazują od pokoleń :_
Tokens: 1__ 2__ 3________ 4_____ 5_____ 6 7___ 8_______ 9_____ 10________ 11 12_____ 13

Chunks:

(ChunkerEvaluator) Sentence #701 from 00103873 from sent2

Text  : Na początku , zanim czas nastał , zanim zapaliły się poranne zorze ,_ w_ Ciemności i_ Pustce tylko Myśl Przedwieczna żyła ,_ nie odmierzając upływu chwil ,_ zatopiona w_ sobie ._
Tokens: 1_ 2_______ 3 4____ 5___ 6_____ 7 8____ 9_______ 10_ 11_____ 12___ 13 14 15_______ 16 17____ 18___ 19__ 20__________ 21__ 22 23_ 24_________ 25____ 26___ 27 28_______ 29 30___ 31

Chunks:
  FalsePositive nam [15,15] = Ciemności (confidence=0.97) (incorrect boundry)
  FalsePositive nam [17,17] = Pustce (confidence=0.97) (incorrect boundry)
  FalsePositive nam [19,20] = Myśl Przedwieczna (confidence=0.70) (incorrect boundry)

(ChunkerEvaluator) Sentence #702 from 00103873 from sent3

Text  : Myśl ta poczęła ziarenko , płomyczek w mrokach niebytu ._
Tokens: 1___ 2_ 3______ 4_______ 5 6________ 7 8______ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #703 from 00103873 from sent4

Text  : Ziarenko urosło w szyszkę cisową , z szyszki wykluł się kiełek ._
Tokens: 1_______ 2_____ 3 4______ 5_____ 6 7 8______ 9_____ 10_ 11____ 12

Chunks:

(ChunkerEvaluator) Sentence #704 from 00103873 from sent5

Text  : Z kiełka urosła cieniutka witka .
Tokens: 1 2_____ 3_____ 4________ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #705 from 00103873 from sent6

Text  : Z gałązki najpierw trzy , a później siedem odrośli się wypuściło i_ tak z_ tego kiełka ,_ witki ,_ gałązek trzech i_ siedmiu wreszcie urosło całe Drzewo ._
Tokens: 1 2______ 3_______ 4___ 5 6 7______ 8_____ 9______ 10_ 11_______ 12 13_ 14 15__ 16____ 17 18___ 19 20_____ 21____ 22 23_____ 24______ 25____ 26__ 27____ 28

Chunks:

(ChunkerEvaluator) Sentence #706 from 00103873 from sent7

Text  : Śpiewają ludzie w pieśniach dalej , że Drzewko to najpierw zaczęło pocić się rosą ze zmęczenia ,_ bo w_ Pustkę się wciskając ,_ żłobiło pierwsze tunele Przestrzeni i_ bardzo się utrudziło ._
Tokens: 1_______ 2_____ 3 4________ 5____ 6 7_ 8______ 9_ 10______ 11_____ 12___ 13_ 14__ 15 16_______ 17 18 19 20____ 21_ 22_______ 23 24_____ 25______ 26____ 27_________ 28 29____ 30_ 31_______ 32

Chunks:
  FalsePositive nam [20,20] = Pustkę (confidence=0.63) (incorrect boundry)
  FalsePositive nam [27,27] = Przestrzeni (confidence=0.65) (incorrect boundry)

(ChunkerEvaluator) Sentence #707 from 00103873 from sent8

Text  : Z tej rosy zrodziły się pierwsze mgły , z mgieł owych powietrze ,_ z_ powietrza zaś pierwsze chmurki i_ mżawka pierwsza ._
Tokens: 1 2__ 3___ 4_______ 5__ 6_______ 7___ 8 9 10___ 11___ 12_______ 13 14 15_______ 16_ 17______ 18_____ 19 20____ 21______ 22

Chunks:

(ChunkerEvaluator) Sentence #708 from 00103873 from sent9

Text  : Wszystko tak małe i mikroskopijne jak owa szczepka latoroślna ._
Tokens: 1_______ 2__ 3___ 4 5____________ 6__ 7__ 8_______ 9_________ 10

Chunks:

(ChunkerEvaluator) Sentence #709 from 00103873 from sent10

Text  : Drzewko wypuściwszy z siebie rosę , nabrało zaraz w pory tego samego powietrza ,_ które z_ jej wilgoci się wzięło ._
Tokens: 1______ 2__________ 3 4_____ 5___ 6 7______ 8____ 9 10__ 11__ 12____ 13_______ 14 15___ 16 17_ 18_____ 19_ 20____ 21

Chunks:

(ChunkerEvaluator) Sentence #710 from 00103873 from sent11

Text  : Odetchnęło z ulgą i znów zaczęło rzeźbić w Nicości koryta dla gałęzi i_ wykradać Ciemności kolejne miejsca korzeniami ._
Tokens: 1_________ 2 3___ 4 5___ 6______ 7______ 8 9______ 10____ 11_ 12____ 13 14______ 15_______ 16_____ 17_____ 18________ 19

Chunks:

(ChunkerEvaluator) Sentence #711 from 00103873 from sent12

Text  : W dół i w górę , w prawo i w_ lewo ,_ w_ przód i_ w_ tył rosnąc ,_ Drzewko stopniowo zamieniło się w_ młode Drzewo ,_ aż po jakimś czasie ,_ nie wiesz ,_ czy długo to było ,_ czy krótko ,_ ogarnął sobą całą Przestrzeń Pradawny Cis ._
Tokens: 1 2__ 3 4 5___ 6 7 8____ 9 10 11__ 12 13 14___ 15 16 17_ 18____ 19 20_____ 21_______ 22_______ 23_ 24 25___ 26____ 27 28 29 30____ 31____ 32 33_ 34___ 35 36_ 37___ 38 39__ 40 41_ 42____ 43 44_____ 45__ 46__ 47________ 48______ 49_ 50

Chunks:
  FalsePositive nam [20,20] = Drzewko (confidence=0.55) (incorrect boundry)
  FalsePositive nam [26,26] = Drzewo (confidence=0.77) (incorrect boundry)
  FalsePositive nam [47,49] = Przestrzeń Pradawny Cis (confidence=0.98) (incorrect boundry)
  FalseNegative nam [49,49] = Cis

(ChunkerEvaluator) Sentence #712 from 00103873 from sent13

Text  : Święte są cisy naszych lasów – żyją od pokoleń w_ pokolenia ,_ robak nie zmoże ich kory ,_ kornik nie wygryzie w_ twardym cisowym drewnie korytarzy ._
Tokens: 1_____ 2_ 3___ 4______ 5____ 6 7___ 8_ 9______ 10 11_______ 12 13___ 14_ 15___ 16_ 17__ 18 19____ 20_ 21______ 22 23_____ 24_____ 25_____ 26_______ 27

Chunks:

(ChunkerEvaluator) Sentence #713 from 00103873 from sent14

Text  : Obrazem są pradawnego Drzewa Cisowego .
Tokens: 1______ 2_ 3_________ 4_____ 5_______ 6

Chunks:
  FalseNegative nam [4,5] = Drzewa Cisowego

(ChunkerEvaluator) Sentence #714 from 00103873 from sent15

Text  : Lecz najtwardszy cis , znużony tysiącem czy dwoma tysiącami lat ,_ pochyla się ku ziemi i_ któregoś dnia opada w_ zielone runo ._
Tokens: 1___ 2__________ 3__ 4 5______ 6_______ 7__ 8____ 9________ 10_ 11 12_____ 13_ 14 15___ 16 17______ 18__ 19___ 20 21_____ 22__ 23

Chunks:

(ChunkerEvaluator) Sentence #715 from 00103873 from sent16

Text  : Nie tak jest z Drzewem Cisowym .
Tokens: 1__ 2__ 3___ 4 5______ 6______ 7

Chunks:
  FalseNegative nam [5,6] = Drzewem Cisowym

(ChunkerEvaluator) Sentence #716 from 00103873 from sent17

Text  : Nie tak .
Tokens: 1__ 2__ 3

Chunks:

(ChunkerEvaluator) Sentence #717 from 00103873 from sent18

Text  : Rośnie pośrodku świata jak kolumna górska pod sklepionym dachem nieba ._
Tokens: 1_____ 2_______ 3_____ 4__ 5______ 6_____ 7__ 8_________ 9_____ 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #718 from 00103873 from sent19

Text  : Nieczuła na wichry , na mrozy , na mroki i_ burze ._
Tokens: 1_______ 2_ 3_____ 4 5_ 6____ 7 8_ 9____ 10 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #719 from 00103873 from sent20

Text  : Wichry bowiem wyszły z jego tchnienia , mrozy z oddechu jego moc swą biorą ,_ mroki to cień przez Drzewo rzucany ,_ a_ burze to szelest Cisa gałęzi ._
Tokens: 1_____ 2_____ 3_____ 4 5___ 6________ 7 8____ 9 10_____ 11__ 12_ 13_ 14___ 15 16___ 17 18__ 19___ 20____ 21_____ 22 23 24___ 25 26_____ 27__ 28____ 29

Chunks:
  FalseNegative nam [27,27] = Cisa

2017-06-14 20:10:12,922 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 48 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103921.xml
(ChunkerEvaluator) Sentence #720 from 00103921 from sent1

Text  : Jakiś czas temu obiecał em , że napiszę o átlátszó (_ węg ._ przejrzysty ,_ transparentny )_ ,_ tym bardzo ciekawym internetowym projekcie medialnym ._
Tokens: 1____ 2___ 3___ 4______ 5_ 6 7_ 8______ 9 10______ 11 12_ 13 14_________ 15 16___________ 17 18 19_ 20____ 21______ 22__________ 23_______ 24_______ 25

Chunks:
  FalseNegative nam [10,10] = átlátszó

(ChunkerEvaluator) Sentence #721 from 00103921 from sent2

Text  : W maju 2010 roku dziennikarz śledczy Indexu Tamás Bodoky złożył rezygnację po tym jak jego redaktor naczelny wyciął mu ostatni paragraf jego tekstu na temat podejrzanej inwestycji w_ Páty ._
Tokens: 1 2___ 3___ 4___ 5__________ 6______ 7_____ 8____ 9_____ 10____ 11________ 12 13_ 14_ 15__ 16______ 17______ 18____ 19 20_____ 21______ 22__ 23____ 24 25___ 26_________ 27________ 28 29__ 30

Chunks:
  TruePositive nam [29,29] = Páty (confidence=0.94)
  FalsePositive nam [7,9] = Indexu Tamás Bodoky (confidence=1.00) (incorrect boundry)
  FalseNegative nam [7,7] = Indexu
  FalseNegative nam [8,9] = Tamás Bodoky

(ChunkerEvaluator) Sentence #722 from 00103921 from sent3

Text  : W paragrafie padały nazwiska biznesmenów blisko związanych z premierem Orbánem ._
Tokens: 1 2_________ 3_____ 4_______ 5__________ 6_____ 7_________ 8 9________ 10_____ 11

Chunks:
  TruePositive nam [10,10] = Orbánem (confidence=0.95)

(ChunkerEvaluator) Sentence #723 from 00103921 from sent4

Text  : Bodoky , który ma fan page na facebooku , uznał to za niedopuszczalną ingerencję i_ po odejściu z_ Indexu stworzył átlátszó jako platformę do publikowania dziennikarskich materiałów śledczych ._
Tokens: 1_____ 2 3____ 4_ 5__ 6___ 7_ 8________ 9 10___ 11 12 13_____________ 14________ 15 16 17______ 18 19____ 20______ 21______ 22__ 23_______ 24 25__________ 26_____________ 27________ 28_______ 29

Chunks:
  TruePositive nam [19,19] = Indexu (confidence=1.00)
  FalseNegative nam [1,1] = Bodoky
  FalseNegative nam [8,8] = facebooku
  FalseNegative nam [21,21] = átlátszó

(ChunkerEvaluator) Sentence #724 from 00103921 from sent5

Text  : Wkrótce po rozpoczęciu działalności átlátszó w życie weszła nowa ustawa medialna ,_ która między innymi nakazywała dziennikarzom podawanie źródeł swoich informacji ._
Tokens: 1______ 2_ 3__________ 4___________ 5_______ 6 7____ 8_____ 9___ 10____ 11______ 12 13___ 14____ 15____ 16________ 17___________ 18_______ 19____ 20____ 21________ 22

Chunks:
  FalseNegative nam [5,5] = átlátszó

(ChunkerEvaluator) Sentence #725 from 00103921 from sent6

Text  : Nie trzeba było wiele czekać na pierwszą interwencję policji ,_ która od Bodokyego domagała się podania ,_ od kogo dostał materiały na temat ataku hackerów na Brokernet a_ także zarekwirowała mu komputer (_ później został on zwrócony )_ ._
Tokens: 1__ 2_____ 3___ 4____ 5_____ 6_ 7_______ 8__________ 9______ 10 11___ 12 13_______ 14______ 15_ 16_____ 17 18 19__ 20____ 21_______ 22 23___ 24___ 25______ 26 27_______ 28 29___ 30___________ 31 32______ 33 34_____ 35____ 36 37______ 38 39

Chunks:
  TruePositive nam [13,13] = Bodokyego (confidence=0.99)
  TruePositive nam [27,27] = Brokernet (confidence=1.00)

(ChunkerEvaluator) Sentence #726 from 00103921 from sent7

Text  : Bodoky i współpracownicy uznali , że jeśli dziennikarz nie będzie znał źródła swoich informacji nie będzie mógł go podać policji i_ tak nie złamie prawa ._
Tokens: 1_____ 2 3______________ 4_____ 5 6_ 7____ 8__________ 9__ 10____ 11__ 12____ 13____ 14________ 15_ 16____ 17__ 18 19___ 20_____ 21 22_ 23_ 24____ 25___ 26

Chunks:
  FalseNegative nam [1,1] = Bodoky

(ChunkerEvaluator) Sentence #727 from 00103921 from sent8

Text  : Dlatego też stworzyli platformę do anonimowego przesyłania informacji MagyarLeaks -_ był to okres kiedy wszyscy mówili o_ WikiLeaks ._
Tokens: 1______ 2__ 3________ 4________ 5_ 6__________ 7__________ 8_________ 9__________ 10 11_ 12 13___ 14___ 15_____ 16____ 17 18_______ 19

Chunks:
  TruePositive nam [9,9] = MagyarLeaks (confidence=0.89)
  TruePositive nam [18,18] = WikiLeaks (confidence=1.00)

(ChunkerEvaluator) Sentence #728 from 00103921 from sent9

Text  : Projekt , mimo , że wciąż boryka się z brakiem środków ,_ odniósł szereg sukcesów ._
Tokens: 1______ 2 3___ 4 5_ 6____ 7_____ 8__ 9 10_____ 11_____ 12 13_____ 14____ 15______ 16

Chunks:

(ChunkerEvaluator) Sentence #729 from 00103921 from sent10

Text  : Drogą sądową zdobył a potem opublikował informacje na temat podejrzanych inwestycji offshore państwowych zakładów energetycznych MVM ._
Tokens: 1____ 2_____ 3_____ 4 5____ 6__________ 7_________ 8_ 9____ 10__________ 11________ 12______ 13_________ 14______ 15____________ 16_ 17

Chunks:
  TruePositive nam [16,16] = MVM (confidence=0.89)

(ChunkerEvaluator) Sentence #730 from 00103921 from sent11

Text  : Opublikował również koncepcję programową złożoną przez Györgya Dörnera w ramach konkursu na dyrektora teatru Új ,_ która będąc raczej antyliberalnym manifestem niż materiałem fachowym wywołała szereg protestów włóczając w_ to demontrację uliczną (_ Dörner i_ tak dostał posadę )_ ._
Tokens: 1__________ 2______ 3________ 4_________ 5______ 6____ 7______ 8______ 9 10____ 11______ 12 13_______ 14____ 15 16 17___ 18___ 19____ 20____________ 21________ 22_ 23________ 24______ 25______ 26____ 27_______ 28_______ 29 30 31_________ 32_____ 33 34____ 35 36_ 37____ 38____ 39 40

Chunks:
  TruePositive nam [7,8] = Györgya Dörnera (confidence=1.00)
  TruePositive nam [15,15] = Új (confidence=0.96)
  FalseNegative nam [34,34] = Dörner

(ChunkerEvaluator) Sentence #731 from 00103921 from sent12

Text  : Na átlátszó pojawiły się informacje dotyczące zakupów gruntu przez piłkarską fundację premiera Orbána działającą w_ jego rodzinnej wiosce Felcsút ._
Tokens: 1_ 2_______ 3_______ 4__ 5_________ 6________ 7______ 8_____ 9____ 10_______ 11______ 12______ 13____ 14________ 15 16__ 17_______ 18____ 19_____ 20

Chunks:
  TruePositive nam [19,19] = Felcsút (confidence=0.99)
  FalseNegative nam [13,13] = Orbána

(ChunkerEvaluator) Sentence #732 from 00103921 from sent13

Text  : Grupie Bodokyego udało się zdobyć informację , że właścicielem odnoszącej niesłychane sukcesy w_ państwowych przetargach firmy Közgép jest Lajos Simicska ,_ były dyrektor gospodarczy Fideszu ,_ co było wcześniej skrzętnie skrywane ._
Tokens: 1_____ 2________ 3____ 4__ 5_____ 6_________ 7 8_ 9___________ 10________ 11_________ 12_____ 13 14_________ 15_________ 16___ 17____ 18__ 19___ 20______ 21 22__ 23______ 24_________ 25_____ 26 27 28__ 29_______ 30_______ 31______ 32

Chunks:
  TruePositive nam [2,2] = Bodokyego (confidence=0.57)
  TruePositive nam [17,17] = Közgép (confidence=0.99)
  TruePositive nam [19,20] = Lajos Simicska (confidence=1.00)
  TruePositive nam [25,25] = Fideszu (confidence=0.99)

2017-06-14 20:10:13,006 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 49 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103944.xml
(ChunkerEvaluator) Sentence #733 from 00103944 from sent1

Text  : Flattr to nie jedyny tego rodzaju projekt .
Tokens: 1_____ 2_ 3__ 4_____ 5___ 6______ 7______ 8

Chunks:
  TruePositive nam [1,1] = Flattr (confidence=0.89)

(ChunkerEvaluator) Sentence #734 from 00103944 from sent2

Text  : Już od conajmniej dwóch lat słychać o Vodo – a_ na blogu tego projektu przeczytał em jeszcze o_ VRM ,_ Contingency Market ,_ 1p2u oraz Kachingle ._
Tokens: 1__ 2_ 3_________ 4____ 5__ 6______ 7 8___ 9 10 11 12___ 13__ 14______ 15________ 16 17_____ 18 19_ 20 21_________ 22____ 23 24__ 25__ 26_______ 27

Chunks:
  TruePositive nam [8,8] = Vodo (confidence=0.99)
  TruePositive nam [19,19] = VRM (confidence=0.94)
  TruePositive nam [21,22] = Contingency Market (confidence=1.00)
  TruePositive nam [26,26] = Kachingle (confidence=0.99)
  FalseNegative nam [24,24] = 1p2u

(ChunkerEvaluator) Sentence #735 from 00103944 from sent3

Text  : Założenie jest zawsze podobne : internauci mogą dobrowolnie przekazywać drobne sumy członkom wirtualnej organizacji twórców współpracujących z_ daną platformą techniczną ._
Tokens: 1________ 2___ 3_____ 4______ 5 6_________ 7___ 8__________ 9__________ 10____ 11__ 12______ 13________ 14_________ 15_____ 16______________ 17 18__ 19_______ 20________ 21

Chunks:
  FalseNegative nam [6,6] = internauci

(ChunkerEvaluator) Sentence #736 from 00103944 from sent4

Text  : Organizacja ta następnie dystrybuuje środki swoim członkom – czyli coś w_ rodzaju organizacji zbiorowego zarządu ,_ tylko nie korzystającej z_ mechanizmu praw autorskich ._
Tokens: 1__________ 2_ 3________ 4__________ 5_____ 6____ 7_______ 8 9____ 10_ 11 12_____ 13_________ 14________ 15_____ 16 17___ 18_ 19___________ 20 21________ 22__ 23________ 24

Chunks:

(ChunkerEvaluator) Sentence #737 from 00103944 from sent5

Text  : Rozwiązania takie są ciekawe dlatego , że są oszczędne –_ nie wymagają kupienia czegokolwiek (_ zbędnego )_ :_ płyty ,_ koszulki ,_ itd ._ ,_ pozwalają po prostu zapłacić twórcy (_ teoretycznie za treści konsumowane online ,_ ale w_ praktyce można komuś zapłacić wyłącznie za to ,_ że się go lubi )_ ._
Tokens: 1__________ 2____ 3_ 4______ 5______ 6 7_ 8_ 9________ 10 11_ 12______ 13______ 14__________ 15 16______ 17 18 19___ 20 21______ 22 23_ 24 25 26_______ 27 28____ 29______ 30____ 31 32__________ 33 34____ 35_________ 36____ 37 38_ 39 40______ 41___ 42___ 43______ 44_______ 45 46 47 48 49_ 50 51__ 52 53

Chunks:

(ChunkerEvaluator) Sentence #738 from 00103944 from sent6

Text  : Wszystkie projekty są ciągle w głębokiej fazie beta , więc kwestia ,_ czy da się przekonać internautów do mikropłatności (_ próby trwają od lat ,_ bez skutku )_ pozostaje otwarta ._
Tokens: 1________ 2_______ 3_ 4_____ 5 6________ 7____ 8___ 9 10__ 11_____ 12 13_ 14 15_ 16_______ 17_________ 18 19____________ 20 21___ 22____ 23 24_ 25 26_ 27____ 28 29_______ 30_____ 31

Chunks:
  FalseNegative nam [17,17] = internautów

(ChunkerEvaluator) Sentence #739 from 00103944 from sent7

Text  : Myślę , że paradoksalnie może się to prędzej udać piratom niż „_ zwykłym ”_ biznesom sieciowym –_ mogą oni stosować argument długu wdzięczności ,_ zaciągniętego przez ściąganie treści z_ sieci ._
Tokens: 1____ 2 3_ 4____________ 5___ 6__ 7_ 8______ 9___ 10_____ 11_ 12 13_____ 14 15______ 16_______ 17 18__ 19_ 20______ 21______ 22___ 23__________ 24 25___________ 26___ 27_______ 28____ 29 30___ 31

Chunks:

(ChunkerEvaluator) Sentence #740 from 00103944 from sent8

Text  : Choć , jeśli dobrze rozumiem , systemy takie jak Flattr mogą też być podczepiane pod serwisy twórców ,_ które dobrowolnie udostępniają treści (_ np ._ pod blogi )_ ._
Tokens: 1___ 2 3____ 4_____ 5_______ 6 7______ 8____ 9__ 10____ 11__ 12_ 13_ 14_________ 15_ 16_____ 17_____ 18 19___ 20_________ 21__________ 22____ 23 24 25 26_ 27___ 28 29

Chunks:
  TruePositive nam [10,10] = Flattr (confidence=1.00)

(ChunkerEvaluator) Sentence #741 from 00103944 from sent9

Text  : Tu warto wspomnieć o projekcie Kickstarter – który pozwala finansować w_ rozproszony sposób twórczość (_ czyli coś na kształt Sellaband znanego w_ Polsce dzięki Julii Marcel ,_ tylko nie ograniczonego do muzyki )_ ._
Tokens: 1_ 2____ 3________ 4 5________ 6__________ 7 8____ 9______ 10________ 11 12_________ 13____ 14_______ 15 16___ 17_ 18 19_____ 20_______ 21_____ 22 23____ 24____ 25___ 26____ 27 28___ 29_ 30___________ 31 32____ 33 34

Chunks:
  TruePositive nam [6,6] = Kickstarter (confidence=0.92)
  TruePositive nam [20,20] = Sellaband (confidence=0.99)
  TruePositive nam [23,23] = Polsce (confidence=0.98)
  TruePositive nam [25,26] = Julii Marcel (confidence=1.00)

(ChunkerEvaluator) Sentence #742 from 00103944 from sent10

Text  : Takich projektów było już wiele , i pewnie trzeba poczekać dłużej niż kilka miesięcy ,_ by mieć pewność ,_ czy idea chwyciła ._
Tokens: 1_____ 2________ 3___ 4__ 5____ 6 7 8_____ 9_____ 10______ 11____ 12_ 13___ 14______ 15 16 17__ 18_____ 19 20_ 21__ 22______ 23

Chunks:

(ChunkerEvaluator) Sentence #743 from 00103944 from sent11

Text  : Ale wystarczy chwilę poklikać , by poczuć siłę społeczności Kickstartera ,_ która co i_ rusz funduje projekty na kilka lub kilkanaście tysięcy dolarów ._
Tokens: 1__ 2________ 3_____ 4_______ 5 6_ 7_____ 8___ 9___________ 10__________ 11 12___ 13 14 15__ 16_____ 17______ 18 19___ 20_ 21_________ 22_____ 23_____ 24

Chunks:
  TruePositive nam [10,10] = Kickstartera (confidence=0.93)
  TruePositive nam [23,23] = dolarów (confidence=0.50)

(ChunkerEvaluator) Sentence #744 from 00103944 from sent12

Text  : Być może to wpływ kryzysu , który przycisnął wiele osób do ściany i_ uświadomił ,_ że twórcy muszą z_ czegoś żyć ?_
Tokens: 1__ 2___ 3_ 4____ 5______ 6 7____ 8_________ 9____ 10__ 11 12____ 13 14________ 15 16 17____ 18___ 19 20____ 21_ 22

Chunks:

(ChunkerEvaluator) Sentence #745 from 00103944 from sent13

Text  : Lub też przybierającego na sile „ makers movement ” ,_ ruchu opartego na rzemieślniczej produkcji dóbr w_ małych nakładach (_ a_ takie projekty finansują często inwestorzy na Kickstarterze )_ ._
Tokens: 1__ 2__ 3______________ 4_ 5___ 6 7_____ 8_______ 9 10 11___ 12______ 13 14____________ 15_______ 16__ 17 18____ 19_______ 20 21 22___ 23______ 24_______ 25____ 26________ 27 28___________ 29 30

Chunks:
  TruePositive nam [28,28] = Kickstarterze (confidence=0.96)

2017-06-14 20:10:13,097 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 50 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103952.xml
(ChunkerEvaluator) Sentence #746 from 00103952 from sent1

Text  : To problem , na który napotyka każdy , kto próbuje przekonać do otwierania zasobów szefów publicznych instytucji kultury ._
Tokens: 1_ 2______ 3 4_ 5____ 6_______ 7____ 8 9__ 10_____ 11_______ 12 13________ 14_____ 15____ 16_________ 17________ 18_____ 19

Chunks:

(ChunkerEvaluator) Sentence #747 from 00103952 from sent2

Text  : Łatwo pokazać korzyści społeczne – większą dostępność , zachęcanie do uczestnictwa w_ kulturze ,_ stymulowanie oddolnej aktywności ?_
Tokens: 1____ 2______ 3_______ 4________ 5 6______ 7_________ 8 9_________ 10 11__________ 12 13______ 14 15__________ 16______ 17________ 18

Chunks:

(ChunkerEvaluator) Sentence #748 from 00103952 from sent3

Text  : Wyliczać można długo .
Tokens: 1_______ 2____ 3____ 4

Chunks:

(ChunkerEvaluator) Sentence #749 from 00103952 from sent4

Text  : Ale to się nie przelicza łatwo – może z wyjątkiem wciągania do współpracy wolontariuszy –_ na pieniądze ._
Tokens: 1__ 2_ 3__ 4__ 5________ 6____ 7 8___ 9 10_______ 11_______ 12 13________ 14___________ 15 16 17_______ 18

Chunks:

(ChunkerEvaluator) Sentence #750 from 00103952 from sent5

Text  : A nawet jeśli , to są to pieniądze wpadające do innych kieszeni ,_ niż te ,_ które należą do otwierających swe zasoby ._
Tokens: 1 2____ 3____ 4 5_ 6_ 7_ 8________ 9________ 10 11____ 12______ 13 14_ 15 16 17___ 18____ 19 20___________ 21_ 22____ 23

Chunks:

(ChunkerEvaluator) Sentence #751 from 00103952 from sent6

Text  : Korzyść społeczna nie musi być kluczowym argumentem dla osoby zarządzającej instytucją ,_ której musi domykać się budżet ._
Tokens: 1______ 2________ 3__ 4___ 5__ 6________ 7_________ 8__ 9____ 10___________ 11________ 12 13____ 14__ 15_____ 16_ 17____ 18

Chunks:

(ChunkerEvaluator) Sentence #752 from 00103952 from sent7

Text  : Nie musi być też nim – w polskich realiach wciąż dla mnie mętny –_ związek pomiędzy zapleczem kulturowym a_ budowaniem innowacyjnego biznesu ._
Tokens: 1__ 2___ 3__ 4__ 5__ 6 7 8_______ 9_______ 10___ 11_ 12__ 13___ 14 15_____ 16______ 17_______ 18________ 19 20________ 21___________ 22_____ 23

Chunks:

(ChunkerEvaluator) Sentence #753 from 00103952 from sent8

Text  : Nawet jeśli jakaś firma zarobi , a na podatkach i_ miejscach pracy skorzysta państwo ,_ to znów :_ w_ tabelce na koniec roku nie uda się tego wpisać ._
Tokens: 1____ 2____ 3____ 4____ 5_____ 6 7 8_ 9________ 10 11_______ 12___ 13_______ 14_____ 15 16 17__ 18 19 20_____ 21 22____ 23__ 24_ 25_ 26_ 27__ 28____ 29

Chunks:

(ChunkerEvaluator) Sentence #754 from 00103952 from sent9

Text  : Co więcej , ten problem aplikuje się też do twórców ,_ którzy boją się eksperymentów z_ nowymi modelami –_ wierząc ,_ że uda im się zostać jednymi z_ nielicznych ,_ którzy będą zarabiać na tradycyjnie funkcjonującym rynku ._
Tokens: 1_ 2_____ 3 4__ 5______ 6_______ 7__ 8__ 9_ 10_____ 11 12____ 13__ 14_ 15___________ 16 17____ 18______ 19 20_____ 21 22 23_ 24 25_ 26____ 27_____ 28 29_________ 30 31____ 32__ 33______ 34 35_________ 36____________ 37___ 38

Chunks:

(ChunkerEvaluator) Sentence #755 from 00103952 from sent10

Text  : I znów : trudno mieć do nich pretensje .
Tokens: 1 2___ 3 4_____ 5___ 6_ 7___ 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #756 from 00103952 from sent11

Text  : Ktoś kto liczy na zbudowanie kariery , fantazjuje , że będzie się z_ niej utrzymywać ._
Tokens: 1___ 2__ 3____ 4_ 5_________ 6______ 7 8_________ 9 10 11____ 12_ 13 14__ 15________ 16

Chunks:

(ChunkerEvaluator) Sentence #757 from 00103952 from sent12

Text  : To , że ktoś go będzie słuchać / oglądać ,_ a_ może nawet remiksować ,_ nie jest celem samym w_ sobie –_ albo :_ przeważnie nie jest ._
Tokens: 1_ 2 3_ 4___ 5_ 6_____ 7______ 8 9______ 10 11 12__ 13___ 14________ 15 16_ 17__ 18___ 19___ 20 21___ 22 23__ 24 25________ 26_ 27__ 28

Chunks:

(ChunkerEvaluator) Sentence #758 from 00103952 from sent13

Text  : Stąd głównym wyzwaniem wydaje mi się gromadzenie studiów przypadku które pokażą ,_ że wolne licencje i_ otwieranie zasobów może być podstawą efektywnych modeli biznesowych ._
Tokens: 1___ 2______ 3________ 4_____ 5_ 6__ 7__________ 8______ 9________ 10___ 11____ 12 13 14___ 15______ 16 17________ 18_____ 19__ 20_ 21______ 22_________ 23____ 24_________ 25

Chunks:

(ChunkerEvaluator) Sentence #759 from 00103952 from sent14

Text  : Pytanie , kto ma w te eksperymenty wchodzić , skoro instytucje publiczne coraz silniej poddawane są presji dążenia do ekonomicznej samowystarczalności ,_ co niejednokrotnie nasila ich zachowawczość w_ kwestii IP ._
Tokens: 1______ 2 3__ 4_ 5 6_ 7___________ 8_______ 9 10___ 11________ 12_______ 13___ 14_____ 15_______ 16 17____ 18_____ 19 20__________ 21_________________ 22 23 24_____________ 25____ 26_ 27___________ 28 29_____ 30 31

Chunks:
  TruePositive nam [30,30] = IP (confidence=0.99)

(ChunkerEvaluator) Sentence #760 from 00103952 from sent15

Text  : Ale dopóki w dyskusjach o korzyściach z otwartości nie będziemy mogli powołać się na historie bliższe polskim realiom niż „_ In Rainbows ”_ Radiohead czy inicjatywy muzeów i_ galerii z_ Holandii czy z_ Australii ,_ nie będziemy mieć naprawdę dobrych argumentów ._
Tokens: 1__ 2_____ 3 4_________ 5 6__________ 7 8_________ 9__ 10______ 11___ 12_____ 13_ 14 15______ 16_____ 17_____ 18_____ 19_ 20 21 22______ 23 24_______ 25_ 26________ 27____ 28 29_____ 30 31______ 32_ 33 34_______ 35 36_ 37______ 38__ 39______ 40_____ 41________ 42

Chunks:
  TruePositive nam [21,22] = In Rainbows (confidence=1.00)
  TruePositive nam [24,24] = Radiohead (confidence=0.55)
  TruePositive nam [31,31] = Holandii (confidence=1.00)
  TruePositive nam [34,34] = Australii (confidence=1.00)

2017-06-14 20:10:13,185 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 51 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103958.xml
(ChunkerEvaluator) Sentence #761 from 00103958 from sent1

Text  : Komputery obniżyły próg wejścia dla osób , które chcą coś tworzyć –_ a_ później tymi treściami się wymieniać ._
Tokens: 1________ 2_______ 3___ 4______ 5__ 6___ 7 8____ 9___ 10_ 11_____ 12 13 14_____ 15__ 16_______ 17_ 18_______ 19

Chunks:

(ChunkerEvaluator) Sentence #762 from 00103958 from sent2

Text  : Internet pogłębił ten trend , otwierając drogę dla produkcji społecznej i_ czyniąc z_ niej już nie wyjątek ,_ a_ ważny element współczesnej ekonomii ._
Tokens: 1_______ 2_______ 3__ 4____ 5 6_________ 7____ 8__ 9________ 10________ 11 12_____ 13 14__ 15_ 16_ 17_____ 18 19 20___ 21_____ 22__________ 23______ 24

Chunks:
  TruePositive nam [1,1] = Internet (confidence=1.00)

(ChunkerEvaluator) Sentence #763 from 00103958 from sent3

Text  : Sukces iPada – o którym można chyba mówić już teraz –_ pokazuje jednak ,_ że chcemy też urządzeń ,_ które do tworzenia czegokolwiek nadają się średnio ,_ za to świetnie służą konsumpcji mediów ._
Tokens: 1_____ 2____ 3 4 5_____ 6____ 7____ 8____ 9__ 10___ 11 12______ 13____ 14 15 16____ 17_ 18______ 19 20___ 21 22_______ 23__________ 24____ 25_ 26_____ 27 28 29 30______ 31___ 32________ 33____ 34

Chunks:
  FalseNegative nam [2,2] = iPada

(ChunkerEvaluator) Sentence #764 from 00103958 from sent4

Text  : Czy jedną z dróg rozwoju komputerów będzie sprzęt , który będzie w_ pewnym sensie przenośnym i_ dającym bez porównania większą swobodę ,_ ale jednak telewizorem ?_
Tokens: 1__ 2____ 3 4___ 5______ 6_________ 7_____ 8_____ 9 10___ 11____ 12 13____ 14____ 15________ 16 17_____ 18_ 19________ 20_____ 21_____ 22 23_ 24____ 25_________ 26

Chunks:

(ChunkerEvaluator) Sentence #765 from 00103958 from sent5

Text  : Drugi kłopot z Apple to „ wodzowska ” filozofia firmy i_ zamknięta architektura jej produktów ,_ a_ także powiązanie ich z_ AppStore ._
Tokens: 1____ 2_____ 3 4____ 5_ 6 7________ 8 9________ 10___ 11 12_______ 13__________ 14_ 15_______ 16 17 18___ 19________ 20_ 21 22______ 23

Chunks:
  TruePositive nam [4,4] = Apple (confidence=1.00)
  TruePositive nam [22,22] = AppStore (confidence=0.90)

(ChunkerEvaluator) Sentence #766 from 00103958 from sent6

Text  : Apple , pomimo hipisowskich korzeni , opiera swój biznes na „_ ekonomii elitaryzmu ”_ ._
Tokens: 1____ 2 3_____ 4___________ 5______ 6 7_____ 8___ 9_____ 10 11 12______ 13________ 14 15

Chunks:
  FalseNegative nam [1,1] = Apple

(ChunkerEvaluator) Sentence #767 from 00103958 from sent7

Text  : Dowodzi też , jak ważny jest estetyczny wymiar technologii ,_ a_ przede wszystkim dobry interfejs ._
Tokens: 1______ 2__ 3 4__ 5____ 6___ 7_________ 8_____ 9__________ 10 11 12____ 13_______ 14___ 15_______ 16

Chunks:

(ChunkerEvaluator) Sentence #768 from 00103958 from sent8

Text  : „ Jabłko ” konsekwentnie podąża drogą , którą trafnie już w_ latach 90 -_ tych zdiagnozowała Sherry Turkle ,_ wg której Apple postrzega komputer nie jako narzędzie ,_ lecz partnera ._
Tokens: 1 2_____ 3 4____________ 5_____ 6____ 7 8____ 9______ 10_ 11 12____ 13 14 15__ 16___________ 17____ 18____ 19 20 21____ 22___ 23_______ 24______ 25_ 26__ 27_______ 28 29__ 30______ 31

Chunks:
  TruePositive nam [17,18] = Sherry Turkle (confidence=1.00)
  TruePositive nam [22,22] = Apple (confidence=0.91)
  FalsePositive nam [2,2] = Jabłko (confidence=0.69) (incorrect boundry)

(ChunkerEvaluator) Sentence #769 from 00103958 from sent9

Text  : Równocześnie jednak firma pogrzebała „ przejrzystość ” komputerów rozumianą jako możliwości wglądu w_ to ,_ jak działają ._
Tokens: 1___________ 2_____ 3____ 4_________ 5 6____________ 7 8_________ 9________ 10__ 11________ 12____ 13 14 15 16_ 17______ 18

Chunks:

(ChunkerEvaluator) Sentence #770 from 00103958 from sent10

Text  : Transparencja wg Apple to nie wgląd w trybiki machiny ,_ lecz łatwy dostęp do funkcji ._
Tokens: 1____________ 2_ 3____ 4_ 5__ 6____ 7 8______ 9______ 10 11__ 12___ 13____ 14 15_____ 16

Chunks:
  TruePositive nam [3,3] = Apple (confidence=0.97)

(ChunkerEvaluator) Sentence #771 from 00103958 from sent11

Text  : Czy to dobrze ?
Tokens: 1__ 2_ 3_____ 4

Chunks:

(ChunkerEvaluator) Sentence #772 from 00103958 from sent12

Text  : Trudno o jednoznaczną odpowiedź .
Tokens: 1_____ 2 3___________ 4________ 5

Chunks:

(ChunkerEvaluator) Sentence #773 from 00103958 from sent13

Text  : Faktem jest , że dla użytkowników produktów Apple mniej istotne jest taktowanie procesora ,_ bardziej –_ że wszystko dobrze działa ._
Tokens: 1_____ 2___ 3 4_ 5__ 6___________ 7________ 8____ 9____ 10_____ 11__ 12________ 13_______ 14 15______ 16 17 18______ 19____ 20____ 21

Chunks:
  TruePositive nam [8,8] = Apple (confidence=0.98)

(ChunkerEvaluator) Sentence #774 from 00103958 from sent14

Text  : Nawet więcej – sprawia fetyszystyczną przyjemność ( pamiętam relacje pierwszych znajomych ,_ którzy kupili iPhone ’_ y_ –_ nie tyle ich używali ,_ co bawili się nimi )_ ._
Tokens: 1____ 2_____ 3 4______ 5_____________ 6__________ 7 8_______ 9______ 10________ 11_______ 12 13____ 14____ 15____ 16 17 18 19_ 20__ 21_ 22_____ 23 24 25____ 26_ 27__ 28 29

Chunks:
  FalseNegative nam [15,17] = iPhone ’ y

(ChunkerEvaluator) Sentence #775 from 00103958 from sent15

Text  : Co nie zmienia faktu , że ideologicznie firma sytuuje się dziś na antypodach wszelkich otwartych standardów …_
Tokens: 1_ 2__ 3______ 4____ 5 6_ 7____________ 8____ 9______ 10_ 11__ 12 13________ 14_______ 15_______ 16________ 17

Chunks:

(ChunkerEvaluator) Sentence #776 from 00103958 from sent16

Text  : Na koniec – bo wiem , że podobne wątki często drażnią właścicieli „_ pecetów ”_ –_ kilka pytań ,_ na które odpowiedzi udzielą najbliższe miesiące ._
Tokens: 1_ 2_____ 3 4_ 5___ 6 7_ 8______ 9____ 10____ 11_____ 12_________ 13 14_____ 15 16 17___ 18___ 19 20 21___ 22________ 23_____ 24________ 25______ 26

Chunks:
  FalseNegative nam [14,14] = pecetów

(ChunkerEvaluator) Sentence #777 from 00103958 from sent17

Text  : Jak potoczy się sprawa z obsługą Flasha : czy jeden produkt ,_ bez względu na to jak bardzo modny ,_ sprawi ,_ że ten format ustąpi w_ sieci miejsce innym ?_
Tokens: 1__ 2______ 3__ 4_____ 5 6______ 7_____ 8 9__ 10___ 11_____ 12 13_ 14_____ 15 16 17_ 18____ 19___ 20 21____ 22 23 24_ 25____ 26____ 27 28___ 29_____ 30___ 31

Chunks:
  TruePositive nam [7,7] = Flasha (confidence=0.97)

2017-06-14 20:10:13,274 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 52 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107244.xml
(ChunkerEvaluator) Sentence #778 from 00107244 from sent1

Text  : 2005-04-15 : Dania : Koszta referendum konstytucyjnego
Tokens: 1_________ 2 3____ 4 5_____ 6_________ 7______________

Chunks:
  TruePositive nam [3,3] = Dania (confidence=1.00)

(ChunkerEvaluator) Sentence #779 from 00107244 from sent2

Text  : Dania - planowane na 27 września 2005 duńskie referendum w_ sprawie konstytucji Unii Europejskiej będzie kosztowało 83 milionów koron (_ ok ._ 46 mln PLN )_ ,_ ogłosił minister spraw wewnętrznych Lars Løkke Rasmussen (_ Venstre )_ ._
Tokens: 1____ 2 3________ 4_ 5_ 6_______ 7___ 8______ 9_________ 10 11_____ 12_________ 13__ 14__________ 15____ 16________ 17 18______ 19___ 20 21 22 23 24_ 25_ 26 27 28_____ 29______ 30___ 31__________ 32__ 33___ 34_______ 35 36_____ 37 38

Chunks:
  TruePositive nam [1,1] = Dania (confidence=0.95)
  TruePositive nam [13,14] = Unii Europejskiej (confidence=0.99)
  TruePositive nam [25,25] = PLN (confidence=1.00)
  TruePositive nam [32,34] = Lars Løkke Rasmussen (confidence=1.00)
  TruePositive nam [36,36] = Venstre (confidence=1.00)
  FalseNegative nam [19,19] = koron

(ChunkerEvaluator) Sentence #780 from 00107244 from sent3

Text  : Większość wydatków poniosą poszczególne gminy , które zapłacą 81 milionów ,_ podczas gdy budżet państwa zostanie obciążony tylko na 2_ miliony ._
Tokens: 1________ 2_______ 3______ 4___________ 5____ 6 7____ 8______ 9_ 10______ 11 12_____ 13_ 14____ 15_____ 16______ 17_______ 18___ 19 20 21_____ 22

Chunks:

(ChunkerEvaluator) Sentence #781 from 00107244 from sent4

Text  : Koszta planowanego referendum porównywalne są z wydatkami na referendum w_ sprawie wprowadzenia w_ Danii europejskiej waluty Euro ._
Tokens: 1_____ 2__________ 3_________ 4___________ 5_ 6 7________ 8_ 9_________ 10 11_____ 12__________ 13 14___ 15__________ 16____ 17__ 18

Chunks:
  TruePositive nam [14,14] = Danii (confidence=1.00)
  TruePositive nam [17,17] = Euro (confidence=1.00)

(ChunkerEvaluator) Sentence #782 from 00107244 from sent5

Text  : Euroreferendum odbyło się 28 września 2000 ; Duńczycy postanowili nadal płacić koronami ._
Tokens: 1_____________ 2_____ 3__ 4_ 5_______ 6___ 7 8_______ 9__________ 10___ 11____ 12______ 13

Chunks:
  TruePositive nam [8,8] = Duńczycy (confidence=0.64)
  FalseNegative nam [1,1] = Euroreferendum
  FalseNegative nam [12,12] = koronami

(ChunkerEvaluator) Sentence #783 from 00107244 from sent6

Text  : Źródła
Tokens: 1_____

Chunks:

(ChunkerEvaluator) Sentence #784 from 00107244 from sent7

Text  : Berlignske Tidende : EU - afstemning koster 83 millioner kroner
Tokens: 1_________ 2______ 3 4_ 5 6_________ 7_____ 8_ 9________ 10____

Chunks:
  TruePositive nam [1,2] = Berlignske Tidende (confidence=1.00)
  TruePositive nam [4,4] = EU (confidence=0.98)
  FalseNegative nam [10,10] = kroner

(ChunkerEvaluator) Sentence #785 from 00107244 from sent8

Text  : agencja ritzau
Tokens: 1______ 2_____

Chunks:
  FalseNegative nam [2,2] = ritzau

2017-06-14 20:10:13,304 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 53 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107273.xml
(ChunkerEvaluator) Sentence #786 from 00107273 from sent1

Text  : 2007-01-27 : Prokuratura zbada DNA Leppera
Tokens: 1_________ 2 3__________ 4____ 5__ 6______

Chunks:
  FalsePositive nam [5,6] = DNA Leppera (confidence=0.98) (incorrect boundry)
  FalseNegative nam [5,5] = DNA
  FalseNegative nam [6,6] = Leppera

(ChunkerEvaluator) Sentence #787 from 00107273 from sent2

Text  : Na początku przyszłego tygodnia łódzka prokuratura zwróci się do wicepremiera Andrzeja Leppera o_ poddanie się badaniom DNA ._
Tokens: 1_ 2_______ 3_________ 4_______ 5_____ 6__________ 7_____ 8__ 9_ 10__________ 11______ 12_____ 13 14______ 15_ 16______ 17_ 18

Chunks:
  TruePositive nam [11,12] = Andrzeja Leppera (confidence=1.00)
  TruePositive nam [17,17] = DNA (confidence=0.79)

(ChunkerEvaluator) Sentence #788 from 00107273 from sent3

Text  : Chodzi o ustalenie ojcostwa najmłodszego dziecka Anety Krawczyk .
Tokens: 1_____ 2 3________ 4_______ 5___________ 6______ 7____ 8_______ 9

Chunks:
  TruePositive nam [7,8] = Anety Krawczyk (confidence=1.00)

(ChunkerEvaluator) Sentence #789 from 00107273 from sent4

Text  : W piątek media podały , że Lepper , nie czekając na decyzję prokuratury ,_ sam zrobił za granicą badania DNA i_ wynika z_ nich ,_ że nie jest ojcem dziecka Anety Krawczyk ._
Tokens: 1 2_____ 3____ 4_____ 5 6_ 7_____ 8 9__ 10______ 11 12_____ 13_________ 14 15_ 16____ 17 18_____ 19_____ 20_ 21 22____ 23 24__ 25 26 27_ 28__ 29___ 30_____ 31___ 32______ 33

Chunks:
  TruePositive nam [7,7] = Lepper (confidence=1.00)
  TruePositive nam [20,20] = DNA (confidence=0.91)
  TruePositive nam [31,32] = Anety Krawczyk (confidence=1.00)

(ChunkerEvaluator) Sentence #790 from 00107273 from sent5

Text  : Jednak lider Samoobrony zaprzeczył tym doniesieniom .
Tokens: 1_____ 2____ 3_________ 4_________ 5__ 6___________ 7

Chunks:
  TruePositive nam [3,3] = Samoobrony (confidence=0.97)

(ChunkerEvaluator) Sentence #791 from 00107273 from sent6

Text  : Z kolei Krawczyk oświadczyła , że badania nie są potrzebne ,_ bo Lepper nie jest ojcem jej dziecka ._
Tokens: 1 2____ 3_______ 4__________ 5 6_ 7______ 8__ 9_ 10_______ 11 12 13____ 14_ 15__ 16___ 17_ 18_____ 19

Chunks:
  TruePositive nam [3,3] = Krawczyk (confidence=1.00)
  TruePositive nam [13,13] = Lepper (confidence=1.00)

2017-06-14 20:10:13,331 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 54 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107283.xml
(ChunkerEvaluator) Sentence #792 from 00107283 from sent1

Text  : 2007-06-29 : Obrady Sejmu ws . Trybunału Konstytucyjnego
Tokens: 1_________ 2 3_____ 4____ 5_ 6 7________ 8______________

Chunks:
  TruePositive nam [4,4] = Sejmu (confidence=0.71)
  TruePositive nam [7,8] = Trybunału Konstytucyjnego (confidence=0.99)

(ChunkerEvaluator) Sentence #793 from 00107283 from sent2

Text  : PiS proponuje skrócenie kadencji prezesa TK i zabronienia sędziom decydowania o_ kolejności rozpatrywanych spraw ._
Tokens: 1__ 2________ 3________ 4_______ 5______ 6_ 7 8__________ 9______ 10_________ 11 12________ 13____________ 14___ 15

Chunks:
  TruePositive nam [1,1] = PiS (confidence=0.82)
  TruePositive nam [6,6] = TK (confidence=0.97)

(ChunkerEvaluator) Sentence #794 from 00107283 from sent3

Text  : Najistotniejsza zmiana ma dotyczyć prezesa i wiceprezesów .
Tokens: 1______________ 2_____ 3_ 4_______ 5______ 6 7___________ 8

Chunks:

(ChunkerEvaluator) Sentence #795 from 00107283 from sent4

Text  : Szefów Trybunału prezydent będzie wybierał co trzy lata .
Tokens: 1_____ 2________ 3________ 4_____ 5_______ 6_ 7___ 8___ 9

Chunks:

(ChunkerEvaluator) Sentence #796 from 00107283 from sent5

Text  : Obecnie pełnią te funkcje od momentu wyboru aż do końca ich kadencji jako sędziów TK ._
Tokens: 1______ 2_____ 3_ 4______ 5_ 6______ 7_____ 8_ 9_ 10___ 11_ 12______ 13__ 14_____ 15 16

Chunks:
  TruePositive nam [15,15] = TK (confidence=0.98)

(ChunkerEvaluator) Sentence #797 from 00107283 from sent6

Text  : Może to być nawet dziewięć lat .
Tokens: 1___ 2_ 3__ 4____ 5_______ 6__ 7

Chunks:

(ChunkerEvaluator) Sentence #798 from 00107283 from sent7

Text  : Ponadto ustępujący prezes może ponownie kandydować na to stanowisko ._
Tokens: 1______ 2_________ 3_____ 4___ 5_______ 6_________ 7_ 8_ 9_________ 10

Chunks:

(ChunkerEvaluator) Sentence #799 from 00107283 from sent8

Text  : " Chcą trzymać prezesa na krótkiej smyczy , skoro tylko od prezydenta będzie zależało przedłużenie kadencji "_ -_ powiedział poseł SLD Ryszard Kalisz ,_ szef Sejmowej Komisji Ustawodawczej ._
Tokens: 1 2___ 3______ 4______ 5_ 6_______ 7_____ 8 9____ 10___ 11 12________ 13____ 14______ 15__________ 16______ 17 18 19________ 20___ 21_ 22_____ 23____ 24 25__ 26______ 27_____ 28___________ 29

Chunks:
  TruePositive nam [21,21] = SLD (confidence=1.00)
  TruePositive nam [22,23] = Ryszard Kalisz (confidence=0.67)
  TruePositive nam [26,28] = Sejmowej Komisji Ustawodawczej (confidence=1.00)

(ChunkerEvaluator) Sentence #800 from 00107283 from sent9

Text  : Jego zdaniem w rezultacie będzie tak , że jeśli prezes nie będzie prawidłowo działał ,_ to prezydent będzie mógł go zmienić ._
Tokens: 1___ 2______ 3 4_________ 5_____ 6__ 7 8_ 9____ 10____ 11_ 12____ 13________ 14_____ 15 16 17_______ 18____ 19__ 20 21_____ 22

Chunks:

(ChunkerEvaluator) Sentence #801 from 00107283 from sent10

Text  : PiS nie podoba się też dowolność z jaką sędziowie decyduję o_ terminie rozpatrywania spraw ._
Tokens: 1__ 2__ 3_____ 4__ 5__ 6________ 7 8___ 9________ 10______ 11 12______ 13___________ 14___ 15

Chunks:
  FalseNegative nam [1,1] = PiS

(ChunkerEvaluator) Sentence #802 from 00107283 from sent11

Text  : " Ktoś rozsądny przygotował te propozycje , bo mieszczą się w_ ramach konstytucji ._
Tokens: 1 2___ 3_______ 4__________ 5_ 6_________ 7 8_ 9_______ 10_ 11 12____ 13_________ 14

Chunks:

(ChunkerEvaluator) Sentence #803 from 00107283 from sent12

Text  : Oprócz tego ustawa zakłada konieczność rozpatrywania spraw w pełnym składzie (_ tzn ._ minimum 11 spośród 15 sędziów )_ "_ -_ powiedział poseł PiS Karol Karski ._
Tokens: 1_____ 2___ 3_____ 4______ 5__________ 6____________ 7____ 8 9_____ 10______ 11 12_ 13 14_____ 15 16_____ 17 18_____ 19 20 21 22________ 23___ 24_ 25___ 26____ 27

Chunks:
  TruePositive nam [24,24] = PiS (confidence=0.99)
  TruePositive nam [25,26] = Karol Karski (confidence=0.62)

2017-06-14 20:10:13,384 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 55 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107311.xml
(ChunkerEvaluator) Sentence #804 from 00107311 from sent1

Text  : 2008-09-14 : Pitera i Kłopotek .
Tokens: 1_________ 2 3_____ 4 5_______ 6

Chunks:
  TruePositive nam [3,3] = Pitera (confidence=0.86)
  TruePositive nam [5,5] = Kłopotek (confidence=0.98)

(ChunkerEvaluator) Sentence #805 from 00107311 from sent2

Text  : Konflikt wśród koalicji
Tokens: 1_______ 2____ 3_______

Chunks:

(ChunkerEvaluator) Sentence #806 from 00107311 from sent3

Text  : W czasie jednego z programów TVN24 doszło do ostrej wymiany zdań między między Eugeniuszem Kłopotkiem z_ PSL a_ minister ds ._ korupcji Julią Piterą ._
Tokens: 1 2_____ 3______ 4 5________ 6____ 7_____ 8_ 9_____ 10_____ 11__ 12____ 13____ 14_________ 15________ 16 17_ 18 19______ 20 21 22______ 23___ 24____ 25

Chunks:
  TruePositive nam [6,6] = TVN24 (confidence=0.94)
  TruePositive nam [14,15] = Eugeniuszem Kłopotkiem (confidence=1.00)
  TruePositive nam [17,17] = PSL (confidence=1.00)
  TruePositive nam [23,24] = Julią Piterą (confidence=1.00)

(ChunkerEvaluator) Sentence #807 from 00107311 from sent4

Text  : W piątek minister zarzuciła Kłopotkowi występowanie w interesie prawnym jednego przedsiębiorcy ,_ na co w_ sobotę odpowiedział on jej słowami stwierdzającymi ,_ że tą wypowiedzią popełniła ona "_ samobójstwo polityczne "_ ._
Tokens: 1 2_____ 3_______ 4________ 5_________ 6___________ 7 8________ 9______ 10_____ 11____________ 12 13 14 15 16____ 17__________ 18 19_ 20_____ 21_____________ 22 23 24 25_________ 26_______ 27_ 28 29_________ 30________ 31 32

Chunks:
  TruePositive nam [5,5] = Kłopotkowi (confidence=1.00)

(ChunkerEvaluator) Sentence #808 from 00107311 from sent5

Text  : Pitera tą sytuację komentuje następująco : – To jest rzecz niedopuszczalna ,_ nie powinien tego robić ._
Tokens: 1_____ 2_ 3_______ 4________ 5__________ 6 7 8_ 9___ 10___ 11_____________ 12 13_ 14______ 15__ 16___ 17

Chunks:
  FalseNegative nam [1,1] = Pitera

(ChunkerEvaluator) Sentence #809 from 00107311 from sent6

Text  : Dodaje też , że Kłopotek może mieć przez to kłopoty prawne ._
Tokens: 1_____ 2__ 3 4_ 5_______ 6___ 7___ 8____ 9_ 10_____ 11____ 12

Chunks:
  TruePositive nam [5,5] = Kłopotek (confidence=0.99)

(ChunkerEvaluator) Sentence #810 from 00107311 from sent7

Text  : – Tym razem pani minister Pitera przekroczyła pewną granicę ._
Tokens: 1 2__ 3____ 4___ 5_______ 6_____ 7___________ 8____ 9______ 10

Chunks:
  TruePositive nam [6,6] = Pitera (confidence=1.00)

(ChunkerEvaluator) Sentence #811 from 00107311 from sent8

Text  : To , co zrobiła w piątek w programie " Piaskiem po oczach "_ ,_ jest niczym innym jak zwykłym pomówieniem –_ stwierdza poseł PSL ._
Tokens: 1_ 2 3_ 4______ 5 6_____ 7 8________ 9 10______ 11 12____ 13 14 15__ 16____ 17___ 18_ 19_____ 20_________ 21 22_______ 23___ 24_ 25

Chunks:
  TruePositive nam [10,12] = Piaskiem po oczach (confidence=0.98)
  TruePositive nam [24,24] = PSL (confidence=1.00)

(ChunkerEvaluator) Sentence #812 from 00107311 from sent9

Text  : Zapowiada , ze w poniedziałek zwoła konferencję prasową na której wyjaśni szczegóły ._
Tokens: 1________ 2 3_ 4 5___________ 6____ 7__________ 8______ 9_ 10____ 11_____ 12_______ 13

Chunks:

(ChunkerEvaluator) Sentence #813 from 00107311 from sent10

Text  : Według Kłopotka , cała sprawa dotyczy jego interwencji ws ._ dostępu małych stacji benzynowych do budowy przy drogach szybkiego ruchu oraz tego ,_ że w_ tej sprawie podjął działania mające pomóc jednemu z_ właścicieli takich stacji ,_ a_ nie całemu ogółowi ._
Tokens: 1_____ 2_______ 3 4___ 5_____ 6______ 7___ 8__________ 9_ 10 11_____ 12____ 13____ 14_________ 15 16____ 17__ 18_____ 19_______ 20___ 21__ 22__ 23 24 25 26_ 27_____ 28____ 29_______ 30____ 31___ 32_____ 33 34_________ 35____ 36____ 37 38 39_ 40____ 41_____ 42

Chunks:
  TruePositive nam [2,2] = Kłopotka (confidence=0.97)

(ChunkerEvaluator) Sentence #814 from 00107311 from sent11

Text  : Twierdzi też , że ten konflikt z Piterą nie doprowadzi do zerwania koalicji rządowej ._
Tokens: 1_______ 2__ 3 4_ 5__ 6_______ 7 8_____ 9__ 10________ 11 12______ 13______ 14______ 15

Chunks:
  TruePositive nam [8,8] = Piterą (confidence=1.00)

(ChunkerEvaluator) Sentence #815 from 00107311 from sent12

Text  : – Przez to nie może cierpieć koalicja .
Tokens: 1 2____ 3_ 4__ 5___ 6_______ 7_______ 8

Chunks:

(ChunkerEvaluator) Sentence #816 from 00107311 from sent13

Text  : Absolutnie nie – mówi poseł , zapewniając , że spór ten to jego osobista sprawa ._
Tokens: 1_________ 2__ 3 4___ 5____ 6 7__________ 8 9_ 10__ 11_ 12 13__ 14______ 15____ 16

Chunks:

2017-06-14 20:10:13,443 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 56 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107317.xml
(ChunkerEvaluator) Sentence #817 from 00107317 from sent1

Text  : 2008-09-23 : Przedterminowe głosowanie na Białorusi
Tokens: 1_________ 2 3_____________ 4_________ 5_ 6________

Chunks:
  TruePositive nam [6,6] = Białorusi (confidence=0.97)

(ChunkerEvaluator) Sentence #818 from 00107317 from sent2

Text  : We wtorek na Białorusi rozpoczęło się przedterminowe głosowanie w wyborach parlamentarnych ._
Tokens: 1_ 2_____ 3_ 4________ 5_________ 6__ 7_____________ 8_________ 9 10______ 11_____________ 12

Chunks:
  TruePositive nam [4,4] = Białorusi (confidence=1.00)

(ChunkerEvaluator) Sentence #819 from 00107317 from sent3

Text  : Właściwe wybory odbędą się w najbliższą niedzielę .
Tokens: 1_______ 2_____ 3_____ 4__ 5 6_________ 7________ 8

Chunks:

(ChunkerEvaluator) Sentence #820 from 00107317 from sent4

Text  : Przedterminowe głosowanie jest instytucją charakterystyczną dla Białorusi .
Tokens: 1_____________ 2_________ 3___ 4_________ 5________________ 6__ 7________ 8

Chunks:
  TruePositive nam [7,7] = Białorusi (confidence=1.00)

(ChunkerEvaluator) Sentence #821 from 00107317 from sent5

Text  : W poprzednich wyborach parlamentarnych z 2004 roku aż 17 procent głosujących skorzystało z_ tej możliwości ._
Tokens: 1 2__________ 3_______ 4______________ 5 6___ 7___ 8_ 9_ 10_____ 11_________ 12_________ 13 14_ 15________ 16

Chunks:

(ChunkerEvaluator) Sentence #822 from 00107317 from sent6

Text  : – Głosowanie przedterminowe , które będzie się odbywać przez pięć dni ,_ gwarantuje skorzystanie z_ prawa do głosu każdemu obywatelowi kraju –_ tłumaczył sekretarz Centralnej Komisji Wyborczej Nikołaj Łozowik ._
Tokens: 1 2_________ 3_____________ 4 5____ 6_____ 7__ 8______ 9____ 10__ 11_ 12 13________ 14__________ 15 16___ 17 18___ 19_____ 20_________ 21___ 22 23_______ 24_______ 25________ 26_____ 27_______ 28_____ 29_____ 30

Chunks:
  FalsePositive nam [25,29] = Centralnej Komisji Wyborczej Nikołaj Łozowik (confidence=0.78) (incorrect boundry)
  FalseNegative nam [25,27] = Centralnej Komisji Wyborczej
  FalseNegative nam [28,29] = Nikołaj Łozowik

(ChunkerEvaluator) Sentence #823 from 00107317 from sent7

Text  : Wybory parlamentarne na Białorusi odbędą się w niedzielę 28 września ._
Tokens: 1_____ 2____________ 3_ 4________ 5_____ 6__ 7 8________ 9_ 10______ 11

Chunks:
  TruePositive nam [4,4] = Białorusi (confidence=1.00)

(ChunkerEvaluator) Sentence #824 from 00107317 from sent8

Text  : O 110 miejsc w jednoizbowym parlamencie konkurować będzie 279 kandydatów ._
Tokens: 1 2__ 3_____ 4 5___________ 6__________ 7_________ 8_____ 9__ 10________ 11

Chunks:

(ChunkerEvaluator) Sentence #825 from 00107317 from sent9

Text  : Liczba kandydatów opozycyjnych wynosi jedynie 70 .
Tokens: 1_____ 2_________ 3___________ 4_____ 5______ 6_ 7

Chunks:

(ChunkerEvaluator) Sentence #826 from 00107317 from sent10

Text  : Opozycja krytykuje władze za to , że nie dano jej dostępu do komisji wyborczych ._
Tokens: 1_______ 2________ 3_____ 4_ 5_ 6 7_ 8__ 9___ 10_ 11_____ 12 13_____ 14________ 15

Chunks:

(ChunkerEvaluator) Sentence #827 from 00107317 from sent11

Text  : Zamierza w dniu wyborów protestować przeciw nierównemu traktowaniu kandydatów opozycyjnych ._
Tokens: 1_______ 2 3___ 4______ 5__________ 6______ 7_________ 8__________ 9_________ 10__________ 11

Chunks:

(ChunkerEvaluator) Sentence #828 from 00107317 from sent12

Text  : Tymczasem wg prezydenta Alaksandra Łukaszenki kampania wyborcza została przeprowadzona w_ warunkach całkowitej otwartości ._
Tokens: 1________ 2_ 3_________ 4_________ 5_________ 6_______ 7_______ 8______ 9_____________ 10 11_______ 12________ 13________ 14

Chunks:
  TruePositive nam [4,5] = Alaksandra Łukaszenki (confidence=1.00)

(ChunkerEvaluator) Sentence #829 from 00107317 from sent13

Text  : Zauważył także , że praktycznie każdy obserwator , wyrażający na to zgodę ,_ mógł przyjechać na Białoruś ._
Tokens: 1_______ 2____ 3 4_ 5__________ 6____ 7_________ 8 9_________ 10 11 12___ 13 14__ 15________ 16 17______ 18

Chunks:
  TruePositive nam [17,17] = Białoruś (confidence=1.00)

2017-06-14 20:10:13,489 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 57 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107325.xml
(ChunkerEvaluator) Sentence #830 from 00107325 from sent1

Text  : 2008-12-31 : Raport ze Strefy Gazy : 31 grudnia 2008
Tokens: 1_________ 2 3_____ 4_ 5_____ 6___ 7 8_ 9______ 10__

Chunks:
  TruePositive nam [5,6] = Strefy Gazy (confidence=0.99)

(ChunkerEvaluator) Sentence #831 from 00107325 from sent2

Text  : 27 grudnia Izrael , w odpowiedzi na jednostronne wypowiedzenie przez Hamas zawieszenia broni ,_ oraz ostrzał terytorium Izraela rozpoczął ofensywę militarną w_ Strefie Gazy pod kryptonimem Płynny ołów ._
Tokens: 1_ 2______ 3_____ 4 5 6_________ 7_ 8___________ 9____________ 10___ 11___ 12_________ 13___ 14 15__ 16_____ 17________ 18_____ 19_______ 20______ 21_______ 22 23_____ 24__ 25_ 26_________ 27____ 28__ 29

Chunks:
  TruePositive nam [3,3] = Izrael (confidence=1.00)
  TruePositive nam [11,11] = Hamas (confidence=0.99)
  TruePositive nam [18,18] = Izraela (confidence=1.00)
  TruePositive nam [23,24] = Strefie Gazy (confidence=1.00)
  TruePositive nam [27,28] = Płynny ołów (confidence=0.91)

(ChunkerEvaluator) Sentence #832 from 00107325 from sent3

Text  : Celem są dowódcy i infrastruktura palestyńskiego , radykalnego ugrupowania Hamas ._
Tokens: 1____ 2_ 3______ 4 5_____________ 6_____________ 7 8__________ 9__________ 10___ 11

Chunks:
  TruePositive nam [10,10] = Hamas (confidence=0.99)

(ChunkerEvaluator) Sentence #833 from 00107325 from sent4

Text  : Operacja objęła głównie Gazę oraz , w mniejszym stopniu ,_ Chan Junis i_ Rafah ._
Tokens: 1_______ 2_____ 3______ 4___ 5___ 6 7 8________ 9______ 10 11__ 12___ 13 14___ 15

Chunks:
  TruePositive nam [4,4] = Gazę (confidence=0.99)
  TruePositive nam [11,12] = Chan Junis (confidence=1.00)
  TruePositive nam [14,14] = Rafah (confidence=0.99)

(ChunkerEvaluator) Sentence #834 from 00107325 from sent5

Text  : Według oficjalnych źródeł , izraelskich i palestyńskich , w wyniku izraelskiej operacji zginęło dotychczas około 385 Palestyńczyków w_ tym 60 cywili (_ wg ONZ )_ ,_ a_ ponad 1_ 700 zostało rannych –_ głównie bojownicy Hamasu ._
Tokens: 1_____ 2__________ 3_____ 4 5__________ 6 7____________ 8 9 10____ 11_________ 12______ 13_____ 14________ 15___ 16_ 17____________ 18 19_ 20 21____ 22 23 24_ 25 26 27 28___ 29 30_ 31_____ 32_____ 33 34_____ 35_______ 36____ 37

Chunks:
  TruePositive nam [17,17] = Palestyńczyków (confidence=0.64)
  TruePositive nam [24,24] = ONZ (confidence=1.00)
  TruePositive nam [36,36] = Hamasu (confidence=0.99)

(ChunkerEvaluator) Sentence #835 from 00107325 from sent6

Text  : Z kolei po stronie izraelskiej dotychczas poległo 5 osób -_ 4_ cywili i_ jeden żołnierz ,_ 33 cywilów zostało rannych ._
Tokens: 1 2____ 3_ 4______ 5__________ 6_________ 7______ 8 9___ 10 11 12____ 13 14___ 15______ 16 17 18_____ 19_____ 20_____ 21

Chunks:

(ChunkerEvaluator) Sentence #836 from 00107325 from sent7

Text  : Informacje o ofiarach potwierdzają służby ratownictwa medycznego i niezależni obserwatorzy ._
Tokens: 1_________ 2 3_______ 4___________ 5_____ 6__________ 7_________ 8 9_________ 10__________ 11

Chunks:

(ChunkerEvaluator) Sentence #837 from 00107325 from sent8

Text  : Na miasto Beersheba w Izraelu spadły dwie rakiety , wystrzelone przez Hamas ._
Tokens: 1_ 2_____ 3________ 4 5______ 6_____ 7___ 8______ 9 10_________ 11___ 12___ 13

Chunks:
  TruePositive nam [3,3] = Beersheba (confidence=0.98)
  TruePositive nam [5,5] = Izraelu (confidence=1.00)
  TruePositive nam [12,12] = Hamas (confidence=1.00)

(ChunkerEvaluator) Sentence #838 from 00107325 from sent9

Text  : Jedna z rakiet spadła na pole , druga trafiała w_ przedszkole ._
Tokens: 1____ 2 3_____ 4_____ 5_ 6___ 7 8____ 9_______ 10 11_________ 12

Chunks:

(ChunkerEvaluator) Sentence #839 from 00107325 from sent10

Text  : Na razie nie informacji o ofiarach , ponieważ przedszkole było puste ._
Tokens: 1_ 2____ 3__ 4_________ 5 6_______ 7 8_______ 9__________ 10__ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #840 from 00107325 from sent11

Text  : W mieście przedszkola i szkoły zamknięto oraz w trakcie dnia zawyły syreny ostrzegane przed niebezpieczeństwem ._
Tokens: 1 2______ 3__________ 4 5_____ 6________ 7___ 8 9______ 10__ 11____ 12____ 13________ 14___ 15________________ 16

Chunks:

(ChunkerEvaluator) Sentence #841 from 00107325 from sent12

Text  : Beersheba leży 45 km . od Gazy , tak więc pociski Palestyńczyków mają coraz większy zasięg rażenia ._
Tokens: 1________ 2___ 3_ 4_ 5 6_ 7___ 8 9__ 10__ 11_____ 12____________ 13__ 14___ 15_____ 16____ 17_____ 18

Chunks:
  TruePositive nam [7,7] = Gazy (confidence=0.88)
  TruePositive nam [12,12] = Palestyńczyków (confidence=1.00)
  FalseNegative nam [1,1] = Beersheba

(ChunkerEvaluator) Sentence #842 from 00107325 from sent13

Text  : Palestyńscy terroryści wystrzelili także około 50 rakiet , które trafiły izraelskie miasta Be'er Shevy do Aszkelon ._
Tokens: 1__________ 2_________ 3__________ 4____ 5____ 6_ 7_____ 8 9____ 10_____ 11________ 12____ 13___ 14___ 15 16______ 17

Chunks:
  TruePositive nam [13,14] = Be'er Shevy (confidence=1.00)
  TruePositive nam [16,16] = Aszkelon (confidence=0.96)

(ChunkerEvaluator) Sentence #843 from 00107325 from sent14

Text  : Ucierpiały dwie osoby .
Tokens: 1_________ 2___ 3____ 4

Chunks:

(ChunkerEvaluator) Sentence #844 from 00107325 from sent15

Text  : W miastach pozamykano szkoły .
Tokens: 1 2_______ 3_________ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #845 from 00107325 from sent16

Text  : Ehud Barak ogłosił mobilizację 2 500 rezerwistów izraelskich .
Tokens: 1___ 2____ 3______ 4__________ 5 6__ 7__________ 8__________ 9

Chunks:
  TruePositive nam [1,2] = Ehud Barak (confidence=1.00)

(ChunkerEvaluator) Sentence #846 from 00107325 from sent17

Text  : Izrael po raz kolejny zbombardował budynki Hamasu , za pomocą 35 rakiet ._
Tokens: 1_____ 2_ 3__ 4______ 5___________ 6______ 7_____ 8 9_ 10____ 11 12____ 13

Chunks:
  TruePositive nam [1,1] = Izrael (confidence=0.91)
  TruePositive nam [7,7] = Hamasu (confidence=0.99)

(ChunkerEvaluator) Sentence #847 from 00107325 from sent18

Text  : Zniszczono także podziemny tunel przemytniczy na granicy z Egiptem w_ rejonie Rafah ._
Tokens: 1_________ 2____ 3________ 4____ 5___________ 6_ 7______ 8 9______ 10 11_____ 12___ 13

Chunks:
  TruePositive nam [9,9] = Egiptem (confidence=1.00)
  TruePositive nam [12,12] = Rafah (confidence=0.97)

(ChunkerEvaluator) Sentence #848 from 00107325 from sent19

Text  : Lotnictwo w godzinach wieczornych zbombardowało meczet w Gazie , a_ z_ morza izraelska marynarka wojenna ostrzelała obozy szkoleniowe Hamasu na wybrzeżu ._
Tokens: 1________ 2 3________ 4__________ 5____________ 6_____ 7 8____ 9 10 11 12___ 13_______ 14_______ 15_____ 16________ 17___ 18_________ 19____ 20 21______ 22

Chunks:
  TruePositive nam [8,8] = Gazie (confidence=1.00)
  TruePositive nam [19,19] = Hamasu (confidence=1.00)

(ChunkerEvaluator) Sentence #849 from 00107325 from sent20

Text  : Dziś ( 31 XII ) ma zebrać się Rada Bezpieczeństwa Izraela ,_ która będzie decydować o_ kolejnych działaniach ._
Tokens: 1___ 2 3_ 4__ 5 6_ 7_____ 8__ 9___ 10____________ 11_____ 12 13___ 14____ 15_______ 16 17_______ 18_________ 19

Chunks:
  FalsePositive nam [9,11] = Rada Bezpieczeństwa Izraela (confidence=1.00) (incorrect boundry)
  FalseNegative nam [9,10] = Rada Bezpieczeństwa
  FalseNegative nam [11,11] = Izraela

(ChunkerEvaluator) Sentence #850 from 00107325 from sent21

Text  : Mark Regev , rzecznik prasowy rządu Olmerta , powiedział że rada rozpatrzy raz jeszcze plan Francji dy ._ 48 godzinnego rozejmu w_ Strefie Gazy ._
Tokens: 1___ 2____ 3 4_______ 5______ 6____ 7______ 8 9_________ 10 11__ 12_______ 13_ 14_____ 15__ 16_____ 17 18 19 20________ 21_____ 22 23_____ 24__ 25

Chunks:
  TruePositive nam [1,2] = Mark Regev (confidence=1.00)
  TruePositive nam [7,7] = Olmerta (confidence=0.98)
  TruePositive nam [16,16] = Francji (confidence=0.99)
  TruePositive nam [23,24] = Strefie Gazy (confidence=1.00)

(ChunkerEvaluator) Sentence #851 from 00107325 from sent22

Text  : Propozycja ta nie zawiera żadnych gwarancji , że Hamas zaprzestanie ataków rakietowych i_ przemytu ._
Tokens: 1_________ 2_ 3__ 4______ 5______ 6________ 7 8_ 9____ 10__________ 11____ 12_________ 13 14______ 15

Chunks:
  TruePositive nam [9,9] = Hamas (confidence=0.96)

(ChunkerEvaluator) Sentence #852 from 00107325 from sent23

Text  : To nierealistyczne , aby oczekiwać od Izraela jednostronnego zawieszenia broni bez żadnych mechanizmów ,_ które wymusiły by zaprzestanie ostrzału i_ terroru przez Hamasu -_ skomentował odrzucenie planu Jigal Palmor rzecznik ministerstwa spraw zagranicznych ._
Tokens: 1_ 2______________ 3 4__ 5________ 6_ 7______ 8_____________ 9__________ 10___ 11_ 12_____ 13_________ 14 15___ 16______ 17 18__________ 19______ 20 21_____ 22___ 23____ 24 25_________ 26________ 27___ 28___ 29____ 30______ 31__________ 32___ 33___________ 34

Chunks:
  TruePositive nam [7,7] = Izraela (confidence=1.00)
  TruePositive nam [23,23] = Hamasu (confidence=1.00)
  TruePositive nam [28,29] = Jigal Palmor (confidence=1.00)
  FalseNegative nam [31,33] = ministerstwa spraw zagranicznych

(ChunkerEvaluator) Sentence #853 from 00107325 from sent24

Text  : Z kolei szef francuskiego MSZ Bernard Kouchner zwrócił się do Ehuda Olmerta z_ prośbą zaakceptowania wczorajszego planu Francji ,_ gdyż te zawieszenie broni pozwoliło by na dostarczenie do Strefy Gazy pomocy humanitarnej ._
Tokens: 1 2____ 3___ 4___________ 5__ 6______ 7_______ 8______ 9__ 10 11___ 12_____ 13 14____ 15____________ 16__________ 17___ 18_____ 19 20__ 21 22_________ 23___ 24_______ 25 26 27__________ 28 29____ 30__ 31____ 32__________ 33

Chunks:
  TruePositive nam [5,5] = MSZ (confidence=0.98)
  TruePositive nam [6,7] = Bernard Kouchner (confidence=0.92)
  TruePositive nam [11,12] = Ehuda Olmerta (confidence=0.95)
  TruePositive nam [18,18] = Francji (confidence=1.00)
  TruePositive nam [29,30] = Strefy Gazy (confidence=0.98)

2017-06-14 20:10:13,597 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 58 from 58: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107327.xml
(ChunkerEvaluator) Sentence #854 from 00107327 from sent1

Text  : 2009-01-05 : Raport ze Strefy Gazy : 5 stycznia 2009
Tokens: 1_________ 2 3_____ 4_ 5_____ 6___ 7 8 9_______ 10__

Chunks:
  TruePositive nam [5,6] = Strefy Gazy (confidence=1.00)

(ChunkerEvaluator) Sentence #855 from 00107327 from sent2

Text  : 27 grudnia Izrael , w odpowiedzi na jednostronne wypowiedzenie przez Hamas zawieszenia broni ,_ oraz ostrzał terytorium Izraela rozpoczął ofensywę militarną w_ Strefie Gazy pod kryptonimem Płynny ołów ._
Tokens: 1_ 2______ 3_____ 4 5 6_________ 7_ 8___________ 9____________ 10___ 11___ 12_________ 13___ 14 15__ 16_____ 17________ 18_____ 19_______ 20______ 21_______ 22 23_____ 24__ 25_ 26_________ 27____ 28__ 29

Chunks:
  TruePositive nam [3,3] = Izrael (confidence=1.00)
  TruePositive nam [11,11] = Hamas (confidence=0.98)
  TruePositive nam [18,18] = Izraela (confidence=1.00)
  TruePositive nam [23,24] = Strefie Gazy (confidence=1.00)
  TruePositive nam [27,28] = Płynny ołów (confidence=0.95)

(ChunkerEvaluator) Sentence #856 from 00107327 from sent3

Text  : Celem są dowódcy i infrastruktura palestyńskiego , radykalnego ugrupowania Hamas ._
Tokens: 1____ 2_ 3______ 4 5_____________ 6_____________ 7 8__________ 9__________ 10___ 11

Chunks:
  TruePositive nam [10,10] = Hamas (confidence=0.99)

(ChunkerEvaluator) Sentence #857 from 00107327 from sent4

Text  : Operacja objęła głównie Gazę oraz , w mniejszym stopniu ,_ Chan Junis i_ Rafah ._
Tokens: 1_______ 2_____ 3______ 4___ 5___ 6 7 8________ 9______ 10 11__ 12___ 13 14___ 15

Chunks:
  TruePositive nam [4,4] = Gazę (confidence=0.99)
  TruePositive nam [11,12] = Chan Junis (confidence=1.00)
  TruePositive nam [14,14] = Rafah (confidence=1.00)

(ChunkerEvaluator) Sentence #858 from 00107327 from sent5

Text  : Według oficjalnych źródeł , izraelskich i palestyńskich , w wyniku izraelskiej operacji zginęło dotychczas około 510 Palestyńczyków w_ tym 60 cywili (_ wg ONZ )_ ,_ a_ ponad 2500 zostało rannych –_ głównie bojownicy Hamasu ._
Tokens: 1_____ 2__________ 3_____ 4 5__________ 6 7____________ 8 9 10____ 11_________ 12______ 13_____ 14________ 15___ 16_ 17____________ 18 19_ 20 21____ 22 23 24_ 25 26 27 28___ 29__ 30_____ 31_____ 32 33_____ 34_______ 35____ 36

Chunks:
  TruePositive nam [17,17] = Palestyńczyków (confidence=0.82)
  TruePositive nam [24,24] = ONZ (confidence=1.00)
  TruePositive nam [35,35] = Hamasu (confidence=0.99)

(ChunkerEvaluator) Sentence #859 from 00107327 from sent6

Text  : Z kolei po stronie izraelskiej dotychczas poległo 5 osób -_ 4_ cywili i_ jeden żołnierz ,_ 37 cywilów zostało rannych ,_ a_ także 65 żołnierzy odniosło rany podczas operacji lądowej ._
Tokens: 1 2____ 3_ 4______ 5__________ 6_________ 7______ 8 9___ 10 11 12____ 13 14___ 15______ 16 17 18_____ 19_____ 20_____ 21 22 23___ 24 25_______ 26______ 27__ 28_____ 29______ 30_____ 31

Chunks:

(ChunkerEvaluator) Sentence #860 from 00107327 from sent7

Text  : Informacje o ofiarach potwierdzają służby ratownictwa medycznego i niezależni obserwatorzy ._
Tokens: 1_________ 2 3_______ 4___________ 5_____ 6__________ 7_________ 8 9_________ 10__________ 11

Chunks:

(ChunkerEvaluator) Sentence #861 from 00107327 from sent8

Text  : 3 stycznia Izrael podjął operację lądową w Strefie Gazy ._
Tokens: 1 2_______ 3_____ 4_____ 5_______ 6_____ 7 8______ 9___ 10

Chunks:
  TruePositive nam [3,3] = Izrael (confidence=0.99)
  TruePositive nam [8,9] = Strefie Gazy (confidence=1.00)

(ChunkerEvaluator) Sentence #862 from 00107327 from sent9

Text  : Zobacz poprzedni raport z Operacji Płynny Ołów
Tokens: 1_____ 2________ 3_____ 4 5_______ 6_____ 7___

Chunks:
  TruePositive nam [5,7] = Operacji Płynny Ołów (confidence=1.00)

(ChunkerEvaluator) Sentence #863 from 00107327 from sent10

Text  : Po dziesięciu dniach od rozpoczęcia izraelskiej ofensywy w Strefie Gazy i_ dwóch dniach operacji lądowej ,_ Hamas zgłosił gotowość do rozmów z_ Izraelem ._
Tokens: 1_ 2_________ 3_____ 4_ 5__________ 6__________ 7_______ 8 9______ 10__ 11 12___ 13____ 14______ 15_____ 16 17___ 18_____ 19______ 20 21____ 22 23______ 24

Chunks:
  TruePositive nam [9,10] = Strefie Gazy (confidence=1.00)
  TruePositive nam [17,17] = Hamas (confidence=0.99)
  TruePositive nam [23,23] = Izraelem (confidence=1.00)

(ChunkerEvaluator) Sentence #864 from 00107327 from sent11

Text  : Delegacja Hamasu pojedzie do Kairu , żeby prowadzić rozmowy o_ rozejmie za pośrednictwem egipskiego mediatora ._
Tokens: 1________ 2_____ 3_______ 4_ 5____ 6 7___ 8________ 9______ 10 11______ 12 13___________ 14________ 15_______ 16

Chunks:
  TruePositive nam [2,2] = Hamasu (confidence=0.93)
  TruePositive nam [5,5] = Kairu (confidence=1.00)

(ChunkerEvaluator) Sentence #865 from 00107327 from sent12

Text  : Ehud Barak izraelski minister obrony , przyznał dziś rano (_ 5_ I_ )_ ,_ iż operacja W_ Strefie Gazy idzie według wcześniejszych założeń ._
Tokens: 1___ 2____ 3________ 4_______ 5_____ 6 7_______ 8___ 9___ 10 11 12 13 14 15 16______ 17 18_____ 19__ 20___ 21____ 22____________ 23_____ 24

Chunks:
  TruePositive nam [1,2] = Ehud Barak (confidence=1.00)
  TruePositive nam [18,19] = Strefie Gazy (confidence=0.81)

(ChunkerEvaluator) Sentence #866 from 00107327 from sent13

Text  : W nocy na terenie Strefy Gazy zostało zbombardowanych 130 celów ._
Tokens: 1 2___ 3_ 4______ 5_____ 6___ 7______ 8______________ 9__ 10___ 11

Chunks:
  TruePositive nam [5,6] = Strefy Gazy (confidence=0.91)

(ChunkerEvaluator) Sentence #867 from 00107327 from sent14

Text  : W tym samym czasie siły lądowe kontynuowały operację w terenie ,_ wspierane przez siły powietrzne i_ morskie ._
Tokens: 1 2__ 3____ 4_____ 5___ 6_____ 7___________ 8_______ 9 10_____ 11 12_______ 13___ 14__ 15________ 16 17_____ 18

Chunks:

(ChunkerEvaluator) Sentence #868 from 00107327 from sent15

Text  : W północnych częściach Gazy w nocy toczyły się dalej walki lądowe ._
Tokens: 1 2_________ 3________ 4___ 5 6___ 7______ 8__ 9____ 10___ 11____ 12

Chunks:
  TruePositive nam [4,4] = Gazy (confidence=0.97)

(ChunkerEvaluator) Sentence #869 from 00107327 from sent16

Text  : Rannych zostało 10 Izraelczyków .
Tokens: 1______ 2______ 3_ 4___________ 5

Chunks:
  TruePositive nam [4,4] = Izraelczyków (confidence=0.53)

(ChunkerEvaluator) Sentence #870 from 00107327 from sent17

Text  : W dzień rannych zostało kolejnych 5 żołnierzy podczas wymiany ognia w_ środkowej części strefy ._
Tokens: 1 2____ 3______ 4______ 5________ 6 7________ 8______ 9______ 10___ 11 12_______ 13____ 14____ 15

Chunks:

(ChunkerEvaluator) Sentence #871 from 00107327 from sent18

Text  : Z kolei Palestyńczycy podczas dnia wystrzelili 10 rakiet .
Tokens: 1 2____ 3____________ 4______ 5___ 6__________ 7_ 8_____ 9

Chunks:
  TruePositive nam [3,3] = Palestyńczycy (confidence=0.95)

======================================================================================
# Exact match evaluation -- annotation span and types evaluation
======================================================================================
        Annotation                     &      TP &      FP &      FN & Precision & Recall  & F$_1$   \\
\hline
        nam                            &     688 &      93 &     135 &    88.09% &  83.60% &  85.79% \\
\hline
        *TOTAL*                        &     688 &      93 &     135 &    88.09% &  83.60% &  85.79% \\


======================================================================================
# Annotation span evaluation (annotation types are ignored)
======================================================================================
        Annotation                     &      TP &      FP &      FN & Precision & Recall  & F$_1$   \\
\hline
        *TOTAL*                        &     688 &      93 &     135 &    88.09% &  83.60% &  85.79% \\


======================================================================================
# MUC match evaluation
======================================================================================
        Annotation                     &     COR &     ACT &     POS & Precision & Recall  & F$_1$   \\
\hline
        nam                            &    1436 &     126 &     205 &    91.93% &  87.51% &  89.67% \\
\hline
        *TOTAL*                        &    1436 &     126 &     205 &    91.93% &  87.51% &  89.67% \\


====================================================
Processing time
====================================================
1) Model loading        : --h 03m 23s (203366758434ns) 
2) Data reading         : --h --m 00s (148678029ns) 
3) Feature generation   : --h --m 00s (731250266ns) 
4) Chunking             : --h --m 01s (1744408251ns) 
5) Evaluation           : --h --m 01s (1438892840ns) (not in total time)
----------------------------------------------------
## Total time             --h 03m 25s (205991094980ns)
----------------------------------------------------
Tokens           :    14167
Text kB          :       83.71
Tokens  / second :       68.77
Text kB / second :        0.41
----------------------------------------------------
***************************************** FOLD 4 *****************************************
2017-06-14 20:10:13,679 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100527.xml
2017-06-14 20:10:13,686 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 2 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100531.xml
2017-06-14 20:10:13,693 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 3 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101201.xml
2017-06-14 20:10:13,697 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101234.xml
2017-06-14 20:10:13,721 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101263.xml
2017-06-14 20:10:13,748 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101276.xml
2017-06-14 20:10:13,751 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 7 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101294.xml
2017-06-14 20:10:13,768 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 8 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101306.xml
2017-06-14 20:10:13,790 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 9 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101317.xml
2017-06-14 20:10:13,792 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 10 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101350.xml
2017-06-14 20:10:13,799 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 11 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101392.xml
2017-06-14 20:10:13,822 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 12 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101395.xml
2017-06-14 20:10:13,833 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 13 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101398.xml
2017-06-14 20:10:13,836 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 14 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101399.xml
2017-06-14 20:10:13,843 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 15 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101414.xml
2017-06-14 20:10:13,849 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 16 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101434.xml
2017-06-14 20:10:13,860 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 17 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101457.xml
2017-06-14 20:10:13,866 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 18 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101467.xml
2017-06-14 20:10:13,868 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 19 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101480.xml
2017-06-14 20:10:13,872 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 20 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101496.xml
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2017-06-14 20:10:20,419 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 448 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102262.xml
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2017-06-14 20:10:20,540 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 454 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102427.xml
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2017-06-14 20:10:20,594 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 459 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102668.xml
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2017-06-14 20:10:20,610 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 461 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102712.xml
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2017-06-14 20:10:20,634 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 463 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103634.xml
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2017-06-14 20:10:20,679 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 465 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103713.xml
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2017-06-14 20:10:20,737 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 469 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103924.xml
2017-06-14 20:10:20,760 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 470 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103927.xml
2017-06-14 20:10:20,780 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 471 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103935.xml
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2017-06-14 20:10:20,811 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 474 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107282.xml
2017-06-14 20:10:20,823 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 475 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107319.xml
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2017-06-14 20:10:20,868 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 478 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100641.xml
2017-06-14 20:10:20,893 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 479 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101165.xml
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2017-06-14 20:10:20,950 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 486 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101338.xml
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2017-06-14 20:10:20,962 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 488 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101363.xml
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2017-06-14 20:10:20,988 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 490 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101415.xml
2017-06-14 20:10:21,008 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 491 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101419.xml
2017-06-14 20:10:21,031 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 492 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101439.xml
2017-06-14 20:10:21,054 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 493 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101454.xml
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2017-06-14 20:10:21,078 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 495 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101517.xml
2017-06-14 20:10:21,101 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 496 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101542.xml
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2017-06-14 20:10:22,167 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 541 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107345.xml
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2017-06-14 20:10:22,381 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 558 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101356.xml
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2017-06-14 20:10:22,567 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 572 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101705.xml
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2017-06-14 20:10:22,680 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 579 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101877.xml
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2017-06-14 20:10:22,737 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 582 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102017.xml
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2017-06-14 20:10:22,908 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 592 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102412.xml
2017-06-14 20:10:22,917 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 593 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102449.xml
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2017-06-14 20:10:22,948 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 596 from 611: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102710.xml
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2017-06-14 20:10:23,191 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100499.xml
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2017-06-14 20:10:24,044 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 56 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102695.xml
2017-06-14 20:10:24,053 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 57 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103566.xml
2017-06-14 20:10:24,081 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 58 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103598.xml
2017-06-14 20:10:24,102 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 59 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103759.xml
2017-06-14 20:10:24,104 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 60 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103760.xml
2017-06-14 20:10:24,108 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 61 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103902.xml
2017-06-14 20:10:24,125 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 62 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103926.xml
2017-06-14 20:10:24,148 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 63 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103928.xml
2017-06-14 20:10:24,170 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 64 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103929.xml
2017-06-14 20:10:24,190 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 65 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103934.xml
2017-06-14 20:10:24,209 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 66 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103949.xml
2017-06-14 20:10:24,229 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 67 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107243.xml
2017-06-14 20:10:24,248 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 68 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107293.xml
2017-06-14 20:10:24,257 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 69 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107300.xml
-> Setting up chunker: chunker_c1
(TokenFeatureGenerator) Loading features...
[orth, base, ctag, synonym, hypernym-1, hypernym-2, hypernym-3, top4hyper-1, top4hyper-2, top4hyper-3, class, case, number, gender, pattern, prefix-1, prefix-2, prefix-3, prefix-4, suffix-1, suffix-2, suffix-3, suffix-4, all_alphanumeric, all_digits, all_letters, all_upper, has_upper_case, has_lower_case, has_symbol, has_digit, starts_with_upper_case, starts_with_lower_case, starts_with_symbol, starts_with_digit, is_number, no_alphanumeric, no_letters, struct, length, dict_person_first_nam, dict_person_last_nam, dict_country_nam, dict_city_nam, dict_road_nam, dict_person_prefix, dict_person_noun, dict_person_suffix, dict_road_prefix, dict_country_prefix, dict_trigger_int_bloc, dict_trigger_ext_bloc, dict_trigger_int_country, dict_trigger_ext_country, dict_trigger_int_district, dict_trigger_ext_district, dict_trigger_int_geogName, dict_trigger_ext_geogName, dict_trigger_int_orgName, dict_trigger_ext_orgName, dict_trigger_int_persName, dict_trigger_ext_persName, dict_trigger_int_region, dict_trigger_ext_region, dict_trigger_int_settlement, dict_trigger_ext_settlement, agr1, parenthesis, quotation, nospace]
--> CRFPP Chunker train
--> Training on file={CV_TRAIN}
(TemplateFactory) parsing template: /home/czuk/nlp/eclipse/workspace_liner2/liner2_master/../models-workdir/liner2.5/liner25_model_ner_kpwr12/ini/template-jrip.txt
(TemplateFactory) Adding feature:orth:-2:-1:0:1:2
(TemplateFactory) feature:orth:-2:-1:0:1:2
(TemplateFactory) Adding feature:base:-2:-1:0:1:2
(TemplateFactory) feature:base:-2:-1:0:1:2
(TemplateFactory) Adding feature:synonym:-2:-1:0:1:2
(TemplateFactory) feature:synonym:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-1:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-2:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-2:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-3:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:class:-1:0:1
(TemplateFactory) feature:class:-1:0:1
(TemplateFactory) Adding feature:case:0
(TemplateFactory) feature:case:0
(TemplateFactory) Adding feature:gender:-2:-1:0:1:2
(TemplateFactory) feature:gender:-2:-1:0:1:2
(TemplateFactory) Adding feature:pattern:0
(TemplateFactory) feature:pattern:0
(TemplateFactory) Adding feature:prefix-1:-2:-1:0:1:2
(TemplateFactory) feature:prefix-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:prefix-3:-2:-1:0:1:2
(TemplateFactory) feature:prefix-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:prefix-4:-2:-1:0:1:2
(TemplateFactory) feature:prefix-4:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-1:-2:-1:0:1:2
(TemplateFactory) feature:suffix-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-2:-2:-1:0:1:2
(TemplateFactory) feature:suffix-2:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-3:-2:-1:0:1:2
(TemplateFactory) feature:suffix-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-4:-2:-1:0:1:2
(TemplateFactory) feature:suffix-4:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_upper_case:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_upper_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_lower_case:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_lower_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_symbol:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_symbol:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_digit:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_digit:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_upper_case:-2:-1:0:1:2
(TemplateFactory) feature:has_upper_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_lower_case:-2:-1:0:1:2
(TemplateFactory) feature:has_lower_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_symbol:-2:-1:0:1:2
(TemplateFactory) feature:has_symbol:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_digit:-2:-1:0:1:2
(TemplateFactory) feature:has_digit:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_first_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_first_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_last_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_last_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_country_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_country_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_city_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_city_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_road_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_road_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_noun:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_noun:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_suffix:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_suffix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_road_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_road_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_country_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_country_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:base:-4/dict_person_first_nam:-3/dict_person_last_nam:-2/base:-1/dict_person_last_nam:0
(TemplateFactory) feature:base:-4/dict_person_first_nam:-3/dict_person_last_nam:-2/base:-1/dict_person_last_nam:0
(TemplateFactory) Adding feature:dict_trigger_int_bloc:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_bloc:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_bloc:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_bloc:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_country:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_country:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_country:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_country:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_district:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_district:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_district:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_district:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_geogName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_geogName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_geogName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_geogName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_orgName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_orgName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_orgName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_orgName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_persName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_persName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_persName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_persName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_region:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_region:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_region:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_region:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_settlement:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_settlement:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_settlement:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_settlement:-2:-1:0:1:2
(TemplateFactory) Adding feature:agr1:-2:-1:0:1:2
(TemplateFactory) feature:agr1:-2:-1:0:1:2
(TemplateFactory) Adding feature:nospace:-2:-1:0:1:2
(TemplateFactory) feature:nospace:-2:-1:0:1:2
(TemplateFactory) Adding feature:parenthesis:-2:-1:0:1:2
(TemplateFactory) feature:parenthesis:-2:-1:0:1:2
(TemplateFactory) Adding feature:quotation:-2:-1:0:1:2
(TemplateFactory) feature:quotation:-2:-1:0:1:2
(TemplateFactory) Adding feature:length:-2:-1:0:1:2
(TemplateFactory) feature:length:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_upper_case:0/agr1:-1/pattern:2/has_upper_case:-1/case:0/number:-1
(TemplateFactory) feature:has_upper_case:0/agr1:-1/pattern:2/has_upper_case:-1/case:0/number:-1
(TemplateFactory) Adding feature:has_upper_case:0/all_digits:-1/all_upper:-2/length:1/nospace:1
(TemplateFactory) feature:has_upper_case:0/all_digits:-1/all_upper:-2/length:1/nospace:1
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/ctag:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/ctag:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/has_upper_case:1
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/has_upper_case:1
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/agr1:1/pattern:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/agr1:1/pattern:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/class:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/class:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/starts_with_digit:-2/starts_with_lower_case:1/case:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/starts_with_digit:-2/starts_with_lower_case:1/case:0
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/has_upper_case:1
(TemplateFactory) feature:has_upper_case:0/ctag:0/has_upper_case:1
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/parenthesis:0/class:2/agr1:2
(TemplateFactory) feature:has_upper_case:0/ctag:0/parenthesis:0/class:2/agr1:2
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/suffix-1:0
(TemplateFactory) feature:has_upper_case:0/ctag:0/suffix-1:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/all_upper:-2/all_alphanumeric:2/starts_with_lower_case:2/all_alphanumeric:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/all_upper:-2/all_alphanumeric:2/starts_with_lower_case:2/all_alphanumeric:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_digit:-2/has_lower_case:0/nospace:-1/nospace:-2/ctag:-1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_digit:-2/has_lower_case:0/nospace:-1/nospace:-2/ctag:-1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-1/all_alphanumeric:2/class:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-1/all_alphanumeric:2/class:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/all_letters:-1/ctag:0/all_alphanumeric:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/all_letters:-1/ctag:0/all_alphanumeric:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/length:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/length:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/starts_with_lower_case:1/orth:-1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/starts_with_lower_case:1/orth:-1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/pattern:-1/class:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/pattern:-1/class:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/pattern:1/parenthesis:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/pattern:1/parenthesis:0
(TemplateFactory) Adding feature:has_upper_case:0/starts_with_lower_case:1/case:0/orth:2
(TemplateFactory) feature:has_upper_case:0/starts_with_lower_case:1/case:0/orth:2
(TemplateFactory) Adding feature:has_upper_case:0/starts_with_lower_case:1/case:0/pattern:1/agr1:1/gender:0
(TemplateFactory) feature:has_upper_case:0/starts_with_lower_case:1/case:0/pattern:1/agr1:1/gender:0
(TemplateFactory) Adding feature:has_upper_case:-1/has_upper_case:0/nospace:-2/pattern:0
(TemplateFactory) feature:has_upper_case:-1/has_upper_case:0/nospace:-2/pattern:0
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/all_letters:1/orth:0/starts_with_lower_case:-2
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/all_letters:1/orth:0/starts_with_lower_case:-2
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/orth:0/nospace:-1
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/orth:0/nospace:-1
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/parenthesis:-2/class:-2/orth:-1
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/parenthesis:-2/class:-2/orth:-1
(TemplateFactory) Adding feature:has_upper_case:-2/has_upper_case:0/orth:-1/nospace:-2
(TemplateFactory) feature:has_upper_case:-2/has_upper_case:0/orth:-1/nospace:-2
(TemplateFactory) Adding feature:has_upper_case:-2/starts_with_upper_case:0/orth:-1
(TemplateFactory) feature:has_upper_case:-2/starts_with_upper_case:0/orth:-1
(TemplateFactory) Adding feature:starts_with_lower_case:-1/has_upper_case:0/case:-1/case:2
(TemplateFactory) feature:starts_with_lower_case:-1/has_upper_case:0/case:-1/case:2
(TemplateFactory) Adding feature:starts_with_lower_case:-1/has_upper_case:0/pattern:-1/ctag:-1/pattern:0
(TemplateFactory) feature:starts_with_lower_case:-1/has_upper_case:0/pattern:-1/ctag:-1/pattern:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_lower_case:-1/all_letters:-1/parenthesis:-2/pattern:1/length:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_lower_case:-1/all_letters:-1/parenthesis:-2/pattern:1/length:0
(TemplateFactory) Adding feature:starts_with_lower_case:-1/starts_with_upper_case:0/class:-1/agr1:0/gender:-1
(TemplateFactory) feature:starts_with_lower_case:-1/starts_with_upper_case:0/class:-1/agr1:0/gender:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/class:-2/no_letters:0/length:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/class:-2/no_letters:0/length:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/agr1:-2/ctag:-2
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/agr1:-2/ctag:-2
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/case:-1/ctag:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/case:-1/ctag:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/ctag:-2/struct:-2
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/ctag:-2/struct:-2
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/quotation:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/quotation:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/pattern:0/length:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/pattern:0/length:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/starts_with_upper_case:0/length:-1/ctag:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/starts_with_upper_case:0/length:-1/ctag:-1
(TemplateFactory) Adding feature:starts_with_upper_case:0/agr1:-1/gender:0/number:0
(TemplateFactory) feature:starts_with_upper_case:0/agr1:-1/gender:0/number:0
(TemplateFactory) Adding feature:starts_with_upper_case:0/agr1:-1/orth:-1/class:-2
(TemplateFactory) feature:starts_with_upper_case:0/agr1:-1/orth:-1/class:-2
(TemplateFactory) Adding feature:starts_with_upper_case:0/class:0/gender:0/prefix-1:0/all_alphanumeric:1
(TemplateFactory) feature:starts_with_upper_case:0/class:0/gender:0/prefix-1:0/all_alphanumeric:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/class:0/starts_with_lower_case:1/struct:2/agr1:1
(TemplateFactory) feature:starts_with_upper_case:0/class:0/starts_with_lower_case:1/struct:2/agr1:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/ctag:0/parenthesis:0/class:1
(TemplateFactory) feature:starts_with_upper_case:0/ctag:0/parenthesis:0/class:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/dict_person_first_nam:-1/class:0/parenthesis:2/ctag:0
(TemplateFactory) feature:starts_with_upper_case:0/dict_person_first_nam:-1/class:0/parenthesis:2/ctag:0
(TemplateFactory) Adding feature:starts_with_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/has_digit:-2/gender:1
(TemplateFactory) feature:starts_with_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/has_digit:-2/gender:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/starts_with_lower_case:1/case:0/suffix-2:1
(TemplateFactory) feature:starts_with_upper_case:0/starts_with_lower_case:1/case:0/suffix-2:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/starts_with_lower_case:1/pattern:1/length:2/nospace:1/case:0/ctag:2
(TemplateFactory) feature:starts_with_upper_case:0/starts_with_lower_case:1/pattern:1/length:2/nospace:1/case:0/ctag:2
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_lower_case:1/all_digits:-2/has_upper_case:1/orth:0
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_lower_case:1/all_digits:-2/has_upper_case:1/orth:0
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_lower_case:1/starts_with_upper_case:0/nospace:2/gender:-1
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_lower_case:1/starts_with_upper_case:0/nospace:2/gender:-1
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/agr1:1/has_lower_case:2
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/agr1:1/has_lower_case:2
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/nospace:0
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/nospace:0
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/pattern:2/suffix-1:-1
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/pattern:2/suffix-1:-1
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Loading training data for CRF from document:00101438
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Loading training data for CRF from document:00101877
Loading training data for CRF from document:00101936
Loading training data for CRF from document:00101961
Loading training data for CRF from document:00102017
Loading training data for CRF from document:00102022
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Loading training data for CRF from document:00102044
Loading training data for CRF from document:00102087
Loading training data for CRF from document:00102152
Loading training data for CRF from document:00102224
Loading training data for CRF from document:00102226
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Loading training data for CRF from document:00102360
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Loading training data for CRF from document:00102449
Loading training data for CRF from document:00102485
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Loading training data for CRF from document:00102711
Loading training data for CRF from document:00103580
Loading training data for CRF from document:00103670
Loading training data for CRF from document:00103700
Loading training data for CRF from document:00103704
Loading training data for CRF from document:00103742
Loading training data for CRF from document:00103749
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Loading training data for CRF from document:00103876
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Loading training data for CRF from document:00107241
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Loading training data for CRF from document:00107362
Training CRF classifer using features:
orth[-2]
orth[-1]
orth[0]
orth[1]
orth[2]
base[-2]
base[-1]
base[0]
base[1]
base[2]
synonym[-2]
synonym[-1]
synonym[0]
synonym[1]
synonym[2]
hypernym-1[-2]
hypernym-1[-1]
hypernym-1[0]
hypernym-1[1]
hypernym-1[2]
hypernym-2[-2]
hypernym-2[-1]
hypernym-2[0]
hypernym-2[1]
hypernym-2[2]
hypernym-3[-2]
hypernym-3[-1]
hypernym-3[0]
hypernym-3[1]
hypernym-3[2]
class[-1]
class[0]
class[1]
case[0]
gender[-2]
gender[-1]
gender[0]
gender[1]
gender[2]
pattern[0]
prefix-1[-2]
prefix-1[-1]
prefix-1[0]
prefix-1[1]
prefix-1[2]
prefix-3[-2]
prefix-3[-1]
prefix-3[0]
prefix-3[1]
prefix-3[2]
prefix-4[-2]
prefix-4[-1]
prefix-4[0]
prefix-4[1]
prefix-4[2]
suffix-1[-2]
suffix-1[-1]
suffix-1[0]
suffix-1[1]
suffix-1[2]
suffix-2[-2]
suffix-2[-1]
suffix-2[0]
suffix-2[1]
suffix-2[2]
suffix-3[-2]
suffix-3[-1]
suffix-3[0]
suffix-3[1]
suffix-3[2]
suffix-4[-2]
suffix-4[-1]
suffix-4[0]
suffix-4[1]
suffix-4[2]
starts_with_upper_case[-2]
starts_with_upper_case[-1]
starts_with_upper_case[0]
starts_with_upper_case[1]
starts_with_upper_case[2]
starts_with_lower_case[-2]
starts_with_lower_case[-1]
starts_with_lower_case[0]
starts_with_lower_case[1]
starts_with_lower_case[2]
starts_with_symbol[-2]
starts_with_symbol[-1]
starts_with_symbol[0]
starts_with_symbol[1]
starts_with_symbol[2]
starts_with_digit[-2]
starts_with_digit[-1]
starts_with_digit[0]
starts_with_digit[1]
starts_with_digit[2]
has_upper_case[-2]
has_upper_case[-1]
has_upper_case[0]
has_upper_case[1]
has_upper_case[2]
has_lower_case[-2]
has_lower_case[-1]
has_lower_case[0]
has_lower_case[1]
has_lower_case[2]
has_symbol[-2]
has_symbol[-1]
has_symbol[0]
has_symbol[1]
has_symbol[2]
has_digit[-2]
has_digit[-1]
has_digit[0]
has_digit[1]
has_digit[2]
dict_person_first_nam[-2]
dict_person_first_nam[-1]
dict_person_first_nam[0]
dict_person_first_nam[1]
dict_person_first_nam[2]
dict_person_last_nam[-2]
dict_person_last_nam[-1]
dict_person_last_nam[0]
dict_person_last_nam[1]
dict_person_last_nam[2]
dict_country_nam[-2]
dict_country_nam[-1]
dict_country_nam[0]
dict_country_nam[1]
dict_country_nam[2]
dict_city_nam[-2]
dict_city_nam[-1]
dict_city_nam[0]
dict_city_nam[1]
dict_city_nam[2]
dict_road_nam[-2]
dict_road_nam[-1]
dict_road_nam[0]
dict_road_nam[1]
dict_road_nam[2]
dict_person_prefix[-2]
dict_person_prefix[-1]
dict_person_prefix[0]
dict_person_prefix[1]
dict_person_prefix[2]
dict_person_noun[-2]
dict_person_noun[-1]
dict_person_noun[0]
dict_person_noun[1]
dict_person_noun[2]
dict_person_suffix[-2]
dict_person_suffix[-1]
dict_person_suffix[0]
dict_person_suffix[1]
dict_person_suffix[2]
dict_road_prefix[-2]
dict_road_prefix[-1]
dict_road_prefix[0]
dict_road_prefix[1]
dict_road_prefix[2]
dict_country_prefix[-2]
dict_country_prefix[-1]
dict_country_prefix[0]
dict_country_prefix[1]
dict_country_prefix[2]
base[-4]_dict_person_first_nam[-3]_dict_person_last_nam[-2]_base[-1]_dict_person_last_nam[0]
dict_trigger_int_bloc[-2]
dict_trigger_int_bloc[-1]
dict_trigger_int_bloc[0]
dict_trigger_int_bloc[1]
dict_trigger_int_bloc[2]
dict_trigger_ext_bloc[-2]
dict_trigger_ext_bloc[-1]
dict_trigger_ext_bloc[0]
dict_trigger_ext_bloc[1]
dict_trigger_ext_bloc[2]
dict_trigger_int_country[-2]
dict_trigger_int_country[-1]
dict_trigger_int_country[0]
dict_trigger_int_country[1]
dict_trigger_int_country[2]
dict_trigger_ext_country[-2]
dict_trigger_ext_country[-1]
dict_trigger_ext_country[0]
dict_trigger_ext_country[1]
dict_trigger_ext_country[2]
dict_trigger_int_district[-2]
dict_trigger_int_district[-1]
dict_trigger_int_district[0]
dict_trigger_int_district[1]
dict_trigger_int_district[2]
dict_trigger_ext_district[-2]
dict_trigger_ext_district[-1]
dict_trigger_ext_district[0]
dict_trigger_ext_district[1]
dict_trigger_ext_district[2]
dict_trigger_int_geogName[-2]
dict_trigger_int_geogName[-1]
dict_trigger_int_geogName[0]
dict_trigger_int_geogName[1]
dict_trigger_int_geogName[2]
dict_trigger_ext_geogName[-2]
dict_trigger_ext_geogName[-1]
dict_trigger_ext_geogName[0]
dict_trigger_ext_geogName[1]
dict_trigger_ext_geogName[2]
dict_trigger_int_orgName[-2]
dict_trigger_int_orgName[-1]
dict_trigger_int_orgName[0]
dict_trigger_int_orgName[1]
dict_trigger_int_orgName[2]
dict_trigger_ext_orgName[-2]
dict_trigger_ext_orgName[-1]
dict_trigger_ext_orgName[0]
dict_trigger_ext_orgName[1]
dict_trigger_ext_orgName[2]
dict_trigger_int_persName[-2]
dict_trigger_int_persName[-1]
dict_trigger_int_persName[0]
dict_trigger_int_persName[1]
dict_trigger_int_persName[2]
dict_trigger_ext_persName[-2]
dict_trigger_ext_persName[-1]
dict_trigger_ext_persName[0]
dict_trigger_ext_persName[1]
dict_trigger_ext_persName[2]
dict_trigger_int_region[-2]
dict_trigger_int_region[-1]
dict_trigger_int_region[0]
dict_trigger_int_region[1]
dict_trigger_int_region[2]
dict_trigger_ext_region[-2]
dict_trigger_ext_region[-1]
dict_trigger_ext_region[0]
dict_trigger_ext_region[1]
dict_trigger_ext_region[2]
dict_trigger_int_settlement[-2]
dict_trigger_int_settlement[-1]
dict_trigger_int_settlement[0]
dict_trigger_int_settlement[1]
dict_trigger_int_settlement[2]
dict_trigger_ext_settlement[-2]
dict_trigger_ext_settlement[-1]
dict_trigger_ext_settlement[0]
dict_trigger_ext_settlement[1]
dict_trigger_ext_settlement[2]
agr1[-2]
agr1[-1]
agr1[0]
agr1[1]
agr1[2]
nospace[-2]
nospace[-1]
nospace[0]
nospace[1]
nospace[2]
parenthesis[-2]
parenthesis[-1]
parenthesis[0]
parenthesis[1]
parenthesis[2]
quotation[-2]
quotation[-1]
quotation[0]
quotation[1]
quotation[2]
length[-2]
length[-1]
length[0]
length[1]
length[2]
has_upper_case[0]_agr1[-1]_pattern[2]_has_upper_case[-1]_case[0]_number[-1]
has_upper_case[0]_all_digits[-1]_all_upper[-2]_length[1]_nospace[1]
has_upper_case[0]_all_upper[-1]_pattern[-1]_ctag[0]
has_upper_case[0]_all_upper[-1]_pattern[-1]_has_upper_case[1]
has_upper_case[0]_all_upper[-1]_pattern[-1]_pattern[-2]_agr1[1]_pattern[0]
has_upper_case[0]_all_upper[-1]_pattern[-1]_pattern[-2]_class[0]
has_upper_case[0]_all_upper[-1]_starts_with_digit[-2]_starts_with_lower_case[1]_case[0]
has_upper_case[0]_ctag[0]_has_upper_case[1]
has_upper_case[0]_ctag[0]_parenthesis[0]_class[2]_agr1[2]
has_upper_case[0]_ctag[0]_suffix-1[0]
has_upper_case[0]_dict_person_first_nam[-1]_all_upper[-2]_all_alphanumeric[2]_starts_with_lower_case[2]_all_alphanumeric[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_digit[-2]_has_lower_case[0]_nospace[-1]_nospace[-2]_ctag[-1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-1]_all_alphanumeric[2]_class[0]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[2]_all_letters[-1]_ctag[0]_all_alphanumeric[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-2]_length[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-2]_starts_with_lower_case[1]_orth[-1]
has_upper_case[0]_dict_person_first_nam[-1]_pattern[-1]_class[0]
has_upper_case[0]_dict_person_first_nam[-1]_pattern[1]_parenthesis[0]
has_upper_case[0]_starts_with_lower_case[1]_case[0]_orth[2]
has_upper_case[0]_starts_with_lower_case[1]_case[0]_pattern[1]_agr1[1]_gender[0]
has_upper_case[-1]_has_upper_case[0]_nospace[-2]_pattern[0]
has_upper_case[-1]_starts_with_lower_case[1]_all_letters[1]_orth[0]_starts_with_lower_case[-2]
has_upper_case[-1]_starts_with_lower_case[1]_orth[0]_nospace[-1]
has_upper_case[-1]_starts_with_lower_case[1]_parenthesis[-2]_class[-2]_orth[-1]
has_upper_case[-2]_has_upper_case[0]_orth[-1]_nospace[-2]
has_upper_case[-2]_starts_with_upper_case[0]_orth[-1]
starts_with_lower_case[-1]_has_upper_case[0]_case[-1]_case[2]
starts_with_lower_case[-1]_has_upper_case[0]_pattern[-1]_ctag[-1]_pattern[0]
starts_with_lower_case[1]_starts_with_lower_case[-1]_all_letters[-1]_parenthesis[-2]_pattern[1]_length[0]
starts_with_lower_case[-1]_starts_with_upper_case[0]_class[-1]_agr1[0]_gender[-1]
starts_with_lower_case[1]_starts_with_upper_case[-1]_class[-2]_no_letters[0]_length[0]
starts_with_lower_case[1]_starts_with_upper_case[-1]_parenthesis[-2]_agr1[-2]_ctag[-2]
starts_with_lower_case[1]_starts_with_upper_case[-1]_parenthesis[-2]_case[-1]_ctag[0]
starts_with_lower_case[1]_starts_with_upper_case[-2]_agr1[-2]_ctag[-2]_struct[-2]
starts_with_lower_case[1]_starts_with_upper_case[-2]_agr1[-2]_quotation[-1]
starts_with_lower_case[1]_starts_with_upper_case[-2]_pattern[0]_length[-1]
starts_with_lower_case[1]_starts_with_upper_case[-2]_starts_with_upper_case[0]_length[-1]_ctag[-1]
starts_with_upper_case[0]_agr1[-1]_gender[0]_number[0]
starts_with_upper_case[0]_agr1[-1]_orth[-1]_class[-2]
starts_with_upper_case[0]_class[0]_gender[0]_prefix-1[0]_all_alphanumeric[1]
starts_with_upper_case[0]_class[0]_starts_with_lower_case[1]_struct[2]_agr1[1]
starts_with_upper_case[0]_ctag[0]_parenthesis[0]_class[1]
starts_with_upper_case[0]_dict_person_first_nam[-1]_class[0]_parenthesis[2]_ctag[0]
starts_with_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[2]_has_digit[-2]_gender[1]
starts_with_upper_case[0]_starts_with_lower_case[1]_case[0]_suffix-2[1]
starts_with_upper_case[0]_starts_with_lower_case[1]_pattern[1]_length[2]_nospace[1]_case[0]_ctag[2]
starts_with_upper_case[-1]_starts_with_lower_case[1]_all_digits[-2]_has_upper_case[1]_orth[0]
starts_with_upper_case[-1]_starts_with_lower_case[1]_starts_with_upper_case[0]_nospace[2]_gender[-1]
starts_with_upper_case[-1]_starts_with_upper_case[0]_all_upper[-2]_agr1[1]_has_lower_case[2]
starts_with_upper_case[-1]_starts_with_upper_case[0]_all_upper[-2]_nospace[0]
starts_with_upper_case[-1]_starts_with_upper_case[0]_pattern[2]_suffix-1[-1]

CRF++: Yet Another CRF Tool Kit
Copyright (C) 2005-2012 Taku Kudo, All rights reserved.

reading training data: 100.. 200.. 300.. 400.. 500.. 600.. 700.. 800.. 900.. 1000.. 1100.. 1200.. 1300.. 1400.. 1500.. 1600.. 1700.. 1800.. 1900.. 2000.. 2100.. 2200.. 2300.. 2400.. 2500.. 2600.. 2700.. 2800.. 2900.. 3000.. 3100.. 3200.. 3300.. 3400.. 3500.. 3600.. 3700.. 3800.. 3900.. 4000.. 4100.. 4200.. 4300.. 4400.. 4500.. 4600.. 4700.. 4800.. 4900.. 5000.. 5100.. 5200.. 5300.. 5400.. 5500.. 5600.. 5700.. 5800.. 5900.. 6000.. 6100.. 6200.. 6300.. 6400.. 6500.. 6600.. 6700.. 6800.. 6900.. 7000.. 7100.. 7200.. 7300.. 7400.. 7500.. 7600.. 7700.. 7800.. 7900.. 8000.. 8100.. 8200.. 8300.. 8400.. 8500.. 8600.. 8700.. 8800.. 8900.. 9000.. 9100.. 9200.. 9300.. 9400.. 9500.. 9600.. 
Done!37.22 s

Number of sentences: 9650
Number of features:  922803
Number of thread(s): 7
Freq:                5
eta:                 0.00010
C:                   1.00000
shrinking size:      20
iter=0 terr=0.94694 serr=0.99731 act=922803 obj=170223.38246 diff=1.00000
iter=1 terr=0.09194 serr=0.44155 act=922803 obj=205021.07446 diff=0.20442
iter=2 terr=0.09194 serr=0.44155 act=922803 obj=72504.17545 diff=0.64636
iter=3 terr=0.09194 serr=0.44155 act=922803 obj=65392.66863 diff=0.09808
iter=4 terr=0.86445 serr=0.96736 act=922803 obj=203685.57409 diff=2.11481
iter=5 terr=0.09194 serr=0.44155 act=922803 obj=53982.52932 diff=0.73497
iter=6 terr=0.09194 serr=0.44155 act=922803 obj=53145.69027 diff=0.01550
iter=7 terr=0.09194 serr=0.44155 act=922803 obj=50660.45623 diff=0.04676
iter=8 terr=0.09194 serr=0.44155 act=922803 obj=48099.73611 diff=0.05055
iter=9 terr=0.08514 serr=0.42280 act=922803 obj=39649.46501 diff=0.17568
iter=10 terr=0.05782 serr=0.37140 act=922803 obj=31514.76547 diff=0.20517
iter=11 terr=0.04216 serr=0.31295 act=922803 obj=25935.20132 diff=0.17705
iter=12 terr=0.03901 serr=0.27098 act=922803 obj=22177.95176 diff=0.14487
iter=13 terr=0.03795 serr=0.26788 act=922803 obj=21292.79912 diff=0.03991
iter=14 terr=0.03770 serr=0.26508 act=922803 obj=20432.61418 diff=0.04040
iter=15 terr=0.03736 serr=0.25990 act=922803 obj=19698.91954 diff=0.03591
iter=16 terr=0.03701 serr=0.25264 act=922803 obj=18999.45606 diff=0.03551
iter=17 terr=0.03670 serr=0.24974 act=922803 obj=18288.35440 diff=0.03743
iter=18 terr=0.03612 serr=0.24415 act=922803 obj=17868.50918 diff=0.02296
iter=19 terr=0.03526 serr=0.23938 act=922803 obj=17327.73960 diff=0.03026
iter=20 terr=0.03472 serr=0.23585 act=922803 obj=16826.53785 diff=0.02892
iter=21 terr=0.03491 serr=0.23523 act=922803 obj=16502.87528 diff=0.01924
iter=22 terr=0.03432 serr=0.22746 act=922803 obj=15743.53074 diff=0.04601
iter=23 terr=0.03390 serr=0.22839 act=922803 obj=15189.00121 diff=0.03522
iter=24 terr=0.03192 serr=0.22083 act=922803 obj=14213.40697 diff=0.06423
iter=25 terr=0.03929 serr=0.25772 act=922803 obj=15429.37345 diff=0.08555
iter=26 terr=0.03283 serr=0.22777 act=922803 obj=13632.07619 diff=0.11649
iter=27 terr=0.03146 serr=0.22798 act=922803 obj=13372.33589 diff=0.01905
iter=28 terr=0.03088 serr=0.22166 act=922803 obj=13078.87519 diff=0.02195
iter=29 terr=0.03086 serr=0.22031 act=922803 obj=12973.99255 diff=0.00802
iter=30 terr=0.03087 serr=0.22197 act=922803 obj=12698.18645 diff=0.02126
iter=31 terr=0.03055 serr=0.22093 act=922803 obj=12151.06473 diff=0.04309
iter=32 terr=0.02967 serr=0.21244 act=922803 obj=11812.53160 diff=0.02786
iter=33 terr=0.02828 serr=0.20218 act=922803 obj=10570.08653 diff=0.10518
iter=34 terr=0.02856 serr=0.20228 act=922803 obj=10202.86335 diff=0.03474
iter=35 terr=0.02835 serr=0.20425 act=922803 obj=9937.56601 diff=0.02600
iter=36 terr=0.02769 serr=0.19938 act=922803 obj=9765.41734 diff=0.01732
iter=37 terr=0.02608 serr=0.19254 act=922803 obj=9467.82963 diff=0.03047
iter=38 terr=0.02543 serr=0.18839 act=922803 obj=9241.81082 diff=0.02387
iter=39 terr=0.02491 serr=0.18622 act=922803 obj=8991.58843 diff=0.02708
iter=40 terr=0.02458 serr=0.18528 act=922803 obj=8812.73533 diff=0.01989
iter=41 terr=0.02782 serr=0.19472 act=922803 obj=8916.32719 diff=0.01175
iter=42 terr=0.02460 serr=0.18321 act=922803 obj=8622.38465 diff=0.03297
iter=43 terr=0.02442 serr=0.18415 act=922803 obj=8437.84126 diff=0.02140
iter=44 terr=0.02425 serr=0.18321 act=922803 obj=8376.88816 diff=0.00722
iter=45 terr=0.02409 serr=0.18176 act=922803 obj=8292.17693 diff=0.01011
iter=46 terr=0.02704 serr=0.20093 act=922803 obj=9114.90275 diff=0.09922
iter=47 terr=0.02366 serr=0.18062 act=922803 obj=8216.53854 diff=0.09856
iter=48 terr=0.02299 serr=0.17523 act=922803 obj=8019.37199 diff=0.02400
iter=49 terr=0.02198 serr=0.16539 act=922803 obj=7594.38225 diff=0.05300
iter=50 terr=0.02191 serr=0.15938 act=922803 obj=7149.25488 diff=0.05861
iter=51 terr=0.02052 serr=0.15223 act=922803 obj=6911.09193 diff=0.03331
iter=52 terr=0.02034 serr=0.15109 act=922803 obj=6773.83618 diff=0.01986
iter=53 terr=0.01981 serr=0.14891 act=922803 obj=6666.68802 diff=0.01582
iter=54 terr=0.02694 serr=0.20031 act=922803 obj=8175.20559 diff=0.22628
iter=55 terr=0.01979 serr=0.14974 act=922803 obj=6636.02544 diff=0.18827
iter=56 terr=0.01951 serr=0.14953 act=922803 obj=6540.62356 diff=0.01438
iter=57 terr=0.01975 serr=0.14922 act=922803 obj=6389.54434 diff=0.02310
iter=58 terr=0.01834 serr=0.14290 act=922803 obj=6194.51260 diff=0.03052
iter=59 terr=0.01825 serr=0.14228 act=922803 obj=6151.96408 diff=0.00687
iter=60 terr=0.01806 serr=0.14000 act=922803 obj=6080.28008 diff=0.01165
iter=61 terr=0.01950 serr=0.14891 act=922803 obj=6153.28863 diff=0.01201
iter=62 terr=0.01839 serr=0.14238 act=922803 obj=6030.51612 diff=0.01995
iter=63 terr=0.01804 serr=0.13907 act=922803 obj=5924.08457 diff=0.01765
iter=64 terr=0.01777 serr=0.13896 act=922803 obj=5824.35705 diff=0.01683
iter=65 terr=0.01746 serr=0.13803 act=922803 obj=5766.44312 diff=0.00994
iter=66 terr=0.02374 serr=0.14974 act=922803 obj=6399.83413 diff=0.10984
iter=67 terr=0.01743 serr=0.13834 act=922803 obj=5743.27851 diff=0.10259
iter=68 terr=0.01718 serr=0.13855 act=922803 obj=5706.13184 diff=0.00647
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iter=277 terr=0.00025 serr=0.00332 act=922803 obj=880.60429 diff=0.00593
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iter=285 terr=0.00018 serr=0.00228 act=922803 obj=861.62868 diff=0.00278
iter=286 terr=0.00019 serr=0.00238 act=922803 obj=857.81213 diff=0.00443
iter=287 terr=0.00017 serr=0.00228 act=922803 obj=856.08106 diff=0.00202
iter=288 terr=0.00017 serr=0.00228 act=922803 obj=853.57191 diff=0.00293
iter=289 terr=0.00017 serr=0.00218 act=922803 obj=852.27670 diff=0.00152
iter=290 terr=0.00016 serr=0.00207 act=922803 obj=850.22947 diff=0.00240
iter=291 terr=0.00016 serr=0.00207 act=922803 obj=848.63965 diff=0.00187
iter=292 terr=0.00016 serr=0.00207 act=922803 obj=846.85142 diff=0.00211
iter=293 terr=0.00016 serr=0.00207 act=922803 obj=844.12067 diff=0.00322
iter=294 terr=0.00015 serr=0.00207 act=922803 obj=842.16401 diff=0.00232
iter=295 terr=0.00015 serr=0.00197 act=922803 obj=840.68669 diff=0.00175
iter=296 terr=0.00015 serr=0.00187 act=922803 obj=839.02704 diff=0.00197
iter=297 terr=0.00015 serr=0.00187 act=922803 obj=837.05351 diff=0.00235
iter=298 terr=0.00015 serr=0.00187 act=922803 obj=833.91278 diff=0.00375
iter=299 terr=0.00016 serr=0.00197 act=922803 obj=834.26345 diff=0.00042
iter=300 terr=0.00015 serr=0.00187 act=922803 obj=832.79235 diff=0.00176
iter=301 terr=0.00015 serr=0.00187 act=922803 obj=831.99842 diff=0.00095
iter=302 terr=0.00015 serr=0.00187 act=922803 obj=831.41123 diff=0.00071
iter=303 terr=0.00015 serr=0.00197 act=922803 obj=830.85381 diff=0.00067
iter=304 terr=0.00016 serr=0.00207 act=922803 obj=829.16572 diff=0.00203
iter=305 terr=0.00016 serr=0.00207 act=922803 obj=827.04490 diff=0.00256
iter=306 terr=0.00013 serr=0.00166 act=922803 obj=824.25340 diff=0.00338
iter=307 terr=0.00012 serr=0.00145 act=922803 obj=827.38658 diff=0.00380
iter=308 terr=0.00014 serr=0.00176 act=922803 obj=823.18922 diff=0.00507
iter=309 terr=0.00014 serr=0.00176 act=922803 obj=821.82391 diff=0.00166
iter=310 terr=0.00014 serr=0.00176 act=922803 obj=821.16112 diff=0.00081
iter=311 terr=0.00014 serr=0.00176 act=922803 obj=820.81178 diff=0.00043
iter=312 terr=0.00014 serr=0.00166 act=922803 obj=819.14436 diff=0.00203
iter=313 terr=0.00012 serr=0.00155 act=922803 obj=817.04161 diff=0.00257
iter=314 terr=0.00012 serr=0.00155 act=922803 obj=814.41747 diff=0.00321
iter=315 terr=0.00010 serr=0.00135 act=922803 obj=813.87028 diff=0.00067
iter=316 terr=0.00010 serr=0.00145 act=922803 obj=812.01013 diff=0.00229
iter=317 terr=0.00010 serr=0.00135 act=922803 obj=811.45565 diff=0.00068
iter=318 terr=0.00009 serr=0.00124 act=922803 obj=810.29537 diff=0.00143
iter=319 terr=0.00008 serr=0.00114 act=922803 obj=808.78499 diff=0.00186
iter=320 terr=0.00008 serr=0.00114 act=922803 obj=806.18887 diff=0.00321
iter=321 terr=0.00007 serr=0.00093 act=922803 obj=805.14141 diff=0.00130
iter=322 terr=0.00007 serr=0.00093 act=922803 obj=803.07555 diff=0.00257
iter=323 terr=0.00008 serr=0.00104 act=922803 obj=802.12544 diff=0.00118
iter=324 terr=0.00008 serr=0.00104 act=922803 obj=800.88975 diff=0.00154
iter=325 terr=0.00007 serr=0.00093 act=922803 obj=799.73560 diff=0.00144
iter=326 terr=0.00007 serr=0.00093 act=922803 obj=798.75705 diff=0.00122
iter=327 terr=0.00007 serr=0.00093 act=922803 obj=798.12759 diff=0.00079
iter=328 terr=0.00007 serr=0.00093 act=922803 obj=796.93257 diff=0.00150
iter=329 terr=0.00008 serr=0.00093 act=922803 obj=797.47315 diff=0.00068
iter=330 terr=0.00007 serr=0.00093 act=922803 obj=796.43108 diff=0.00131
iter=331 terr=0.00007 serr=0.00093 act=922803 obj=795.84405 diff=0.00074
iter=332 terr=0.00006 serr=0.00083 act=922803 obj=794.72634 diff=0.00140
iter=333 terr=0.00006 serr=0.00083 act=922803 obj=794.21202 diff=0.00065
iter=334 terr=0.00006 serr=0.00083 act=922803 obj=793.59812 diff=0.00077
iter=335 terr=0.00006 serr=0.00083 act=922803 obj=792.93936 diff=0.00083
iter=336 terr=0.00006 serr=0.00083 act=922803 obj=792.58349 diff=0.00045
iter=337 terr=0.00007 serr=0.00083 act=922803 obj=792.54871 diff=0.00004
iter=338 terr=0.00006 serr=0.00083 act=922803 obj=791.71680 diff=0.00105
iter=339 terr=0.00006 serr=0.00083 act=922803 obj=790.81965 diff=0.00113
iter=340 terr=0.00006 serr=0.00083 act=922803 obj=790.50141 diff=0.00040
iter=341 terr=0.00006 serr=0.00083 act=922803 obj=790.24977 diff=0.00032
iter=342 terr=0.00006 serr=0.00073 act=922803 obj=789.76605 diff=0.00061
iter=343 terr=0.00005 serr=0.00062 act=922803 obj=788.93000 diff=0.00106
iter=344 terr=0.00006 serr=0.00073 act=922803 obj=788.68991 diff=0.00030
iter=345 terr=0.00006 serr=0.00073 act=922803 obj=786.89319 diff=0.00228
iter=346 terr=0.00005 serr=0.00062 act=922803 obj=786.34181 diff=0.00070
iter=347 terr=0.00005 serr=0.00062 act=922803 obj=785.80972 diff=0.00068
iter=348 terr=0.00006 serr=0.00073 act=922803 obj=785.36485 diff=0.00057
iter=349 terr=0.00006 serr=0.00073 act=922803 obj=784.51040 diff=0.00109
iter=350 terr=0.00005 serr=0.00062 act=922803 obj=783.67799 diff=0.00106
iter=351 terr=0.00005 serr=0.00062 act=922803 obj=783.23715 diff=0.00056
iter=352 terr=0.00005 serr=0.00062 act=922803 obj=782.41912 diff=0.00104
iter=353 terr=0.00005 serr=0.00062 act=922803 obj=781.63495 diff=0.00100
iter=354 terr=0.00005 serr=0.00062 act=922803 obj=780.86113 diff=0.00099
iter=355 terr=0.00005 serr=0.00062 act=922803 obj=780.11780 diff=0.00095
iter=356 terr=0.00006 serr=0.00083 act=922803 obj=782.58003 diff=0.00316
iter=357 terr=0.00005 serr=0.00062 act=922803 obj=779.94687 diff=0.00336
iter=358 terr=0.00006 serr=0.00083 act=922803 obj=779.53892 diff=0.00052
iter=359 terr=0.00006 serr=0.00083 act=922803 obj=779.26769 diff=0.00035
iter=360 terr=0.00006 serr=0.00083 act=922803 obj=778.66942 diff=0.00077
iter=361 terr=0.00006 serr=0.00083 act=922803 obj=778.16758 diff=0.00064
iter=362 terr=0.00006 serr=0.00083 act=922803 obj=777.84288 diff=0.00042
iter=363 terr=0.00006 serr=0.00083 act=922803 obj=777.54086 diff=0.00039
iter=364 terr=0.00006 serr=0.00083 act=922803 obj=777.23462 diff=0.00039
iter=365 terr=0.00006 serr=0.00073 act=922803 obj=776.85612 diff=0.00049
iter=366 terr=0.00006 serr=0.00073 act=922803 obj=776.46710 diff=0.00050
iter=367 terr=0.00006 serr=0.00073 act=922803 obj=776.21841 diff=0.00032
iter=368 terr=0.00006 serr=0.00073 act=922803 obj=775.94613 diff=0.00035
iter=369 terr=0.00006 serr=0.00083 act=922803 obj=775.85726 diff=0.00011
iter=370 terr=0.00006 serr=0.00073 act=922803 obj=775.22467 diff=0.00082
iter=371 terr=0.00006 serr=0.00083 act=922803 obj=775.00825 diff=0.00028
iter=372 terr=0.00006 serr=0.00083 act=922803 obj=774.77602 diff=0.00030
iter=373 terr=0.00006 serr=0.00073 act=922803 obj=774.59552 diff=0.00023
iter=374 terr=0.00006 serr=0.00073 act=922803 obj=774.54377 diff=0.00007
iter=375 terr=0.00006 serr=0.00073 act=922803 obj=774.42562 diff=0.00015
iter=376 terr=0.00006 serr=0.00073 act=922803 obj=774.36331 diff=0.00008
iter=377 terr=0.00006 serr=0.00073 act=922803 obj=774.22019 diff=0.00018
iter=378 terr=0.00006 serr=0.00083 act=922803 obj=774.00107 diff=0.00028
iter=379 terr=0.00006 serr=0.00083 act=922803 obj=773.71944 diff=0.00036
iter=380 terr=0.00007 serr=0.00093 act=922803 obj=773.43412 diff=0.00037
iter=381 terr=0.00007 serr=0.00083 act=922803 obj=773.88258 diff=0.00058
iter=382 terr=0.00007 serr=0.00093 act=922803 obj=773.19171 diff=0.00089
iter=383 terr=0.00007 serr=0.00093 act=922803 obj=772.99598 diff=0.00025
iter=384 terr=0.00006 serr=0.00083 act=922803 obj=772.75911 diff=0.00031
iter=385 terr=0.00006 serr=0.00083 act=922803 obj=772.58383 diff=0.00023
iter=386 terr=0.00006 serr=0.00083 act=922803 obj=772.52770 diff=0.00007
iter=387 terr=0.00006 serr=0.00083 act=922803 obj=772.31877 diff=0.00027
iter=388 terr=0.00006 serr=0.00083 act=922803 obj=772.07583 diff=0.00031
iter=389 terr=0.00006 serr=0.00083 act=922803 obj=771.82861 diff=0.00032
iter=390 terr=0.00006 serr=0.00083 act=922803 obj=773.68230 diff=0.00240
iter=391 terr=0.00006 serr=0.00083 act=922803 obj=771.76774 diff=0.00247
iter=392 terr=0.00006 serr=0.00083 act=922803 obj=771.65237 diff=0.00015
iter=393 terr=0.00006 serr=0.00083 act=922803 obj=771.52693 diff=0.00016
iter=394 terr=0.00006 serr=0.00083 act=922803 obj=771.23166 diff=0.00038
iter=395 terr=0.00006 serr=0.00083 act=922803 obj=770.85485 diff=0.00049
iter=396 terr=0.00007 serr=0.00093 act=922803 obj=770.70019 diff=0.00020
iter=397 terr=0.00007 serr=0.00093 act=922803 obj=770.26741 diff=0.00056
iter=398 terr=0.00007 serr=0.00093 act=922803 obj=770.11634 diff=0.00020
iter=399 terr=0.00007 serr=0.00093 act=922803 obj=769.96806 diff=0.00019
iter=400 terr=0.00007 serr=0.00093 act=922803 obj=769.86828 diff=0.00013
iter=401 terr=0.00007 serr=0.00093 act=922803 obj=769.78955 diff=0.00010
iter=402 terr=0.00007 serr=0.00093 act=922803 obj=769.69649 diff=0.00012
iter=403 terr=0.00006 serr=0.00083 act=922803 obj=769.52905 diff=0.00022
iter=404 terr=0.00007 serr=0.00093 act=922803 obj=769.37198 diff=0.00020
iter=405 terr=0.00007 serr=0.00093 act=922803 obj=769.25558 diff=0.00015
iter=406 terr=0.00006 serr=0.00073 act=922803 obj=769.16234 diff=0.00012
iter=407 terr=0.00006 serr=0.00073 act=922803 obj=769.16244 diff=0.00000
iter=408 terr=0.00006 serr=0.00073 act=922803 obj=769.12168 diff=0.00005
iter=409 terr=0.00006 serr=0.00073 act=922803 obj=769.06909 diff=0.00007

Done!695.87 s

-> Setting up chunker: chunker_cp
--> Chunk propagation
2017-06-14 20:13:31,412 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100499.xml
(ChunkerEvaluator) Sentence #1 from 00100499 from sent1

Text  : PZL . 13
Tokens: 1__ 2 3_

Chunks:
  FalseNegative nam [1,3] = PZL . 13

(ChunkerEvaluator) Sentence #2 from 00100499 from sent2

Text  : PZL . 13 ( PZL - 13 ) – projekt polskiego sześciomiejscowego samolotu pasażerskiego zaprojektowanego w_ 1931 roku przez inż ._ Stanisława Praussa w_ Państwowych Zakładach Lotniczych w_ Warszawie
Tokens: 1__ 2 3_ 4 5__ 6 7_ 8 9 10_____ 11_______ 12________________ 13______ 14___________ 15______________ 16 17__ 18__ 19___ 20_ 21 22________ 23_____ 24 25_________ 26_______ 27________ 28 29_______

Chunks:
  TruePositive nam [5,7] = PZL - 13 (confidence=1.00)
  TruePositive nam [22,23] = Stanisława Praussa (confidence=1.00)
  TruePositive nam [25,27] = Państwowych Zakładach Lotniczych (confidence=0.99)
  TruePositive nam [29,29] = Warszawie (confidence=1.00)
  FalseNegative nam [1,3] = PZL . 13

(ChunkerEvaluator) Sentence #3 from 00100499 from sent3

Text  : Historia
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #4 from 00100499 from sent4

Text  : W drugiej połowie 1930 roku na zamówienie Ministerstwa Komunikacji inż ._ Stanisław Prauss rozpoczął prace projektowe nad sześciomiejscowym samolotem pasażerskim ._
Tokens: 1 2______ 3______ 4___ 5___ 6_ 7_________ 8___________ 9__________ 10_ 11 12_______ 13____ 14_______ 15___ 16________ 17_ 18_______________ 19_______ 20_________ 21

Chunks:
  TruePositive nam [8,9] = Ministerstwa Komunikacji (confidence=0.69)
  TruePositive nam [12,13] = Stanisław Prauss (confidence=0.97)

(ChunkerEvaluator) Sentence #5 from 00100499 from sent5

Text  : Według projektu miał to być sześciomiejscowy metalowy dolnopłat pasażerski z_ silnikiem Pratt -_ Whitney Wasp o_ mocy 420 KM ._
Tokens: 1_____ 2_______ 3___ 4_ 5__ 6_______________ 7_______ 8________ 9_________ 10 11_______ 12___ 13 14_____ 15__ 16 17__ 18_ 19 20

Chunks:
  TruePositive nam [12,15] = Pratt - Whitney Wasp (confidence=0.99)

(ChunkerEvaluator) Sentence #6 from 00100499 from sent6

Text  : Projekt ten oznaczono jako PZL - 13 .
Tokens: 1______ 2__ 3________ 4___ 5__ 6 7_ 8

Chunks:
  TruePositive nam [5,7] = PZL - 13 (confidence=1.00)

(ChunkerEvaluator) Sentence #7 from 00100499 from sent7

Text  : Jednak już na wiosnę 1931 roku Ministerstwo Komunikacji zrezygnowało z_ tego zamówienia i_ nie podjęto dalszych prac nad tym projektem ._
Tokens: 1_____ 2__ 3_ 4_____ 5___ 6___ 7___________ 8__________ 9___________ 10 11__ 12________ 13 14_ 15_____ 16______ 17__ 18_ 19_ 20_______ 21

Chunks:
  TruePositive nam [7,8] = Ministerstwo Komunikacji (confidence=0.96)

(ChunkerEvaluator) Sentence #8 from 00100499 from sent8

Text  : I samolot PZL - 13 pozostał w fazie projektu ._
Tokens: 1 2______ 3__ 4 5_ 6_______ 7 8____ 9_______ 10

Chunks:
  TruePositive nam [3,5] = PZL - 13 (confidence=0.99)

(ChunkerEvaluator) Sentence #9 from 00100499 from sent9

Text  : Prace projektowe zostały natomiast wykorzystane przy projektowaniu samolotu PZL ._ 23 „_ Karaś ”_ ._
Tokens: 1____ 2_________ 3______ 4________ 5___________ 6___ 7____________ 8_______ 9__ 10 11 12 13___ 14 15

Chunks:
  FalsePositive nam [9,11] = PZL . 23 (confidence=0.99) (incorrect boundry)
  FalsePositive nam [13,13] = Karaś (confidence=0.97) (incorrect boundry)
  FalseNegative nam [9,14] = PZL . 23 „ Karaś ”

(ChunkerEvaluator) Sentence #10 from 00100499 from sent10

Text  : Użycie w lotnictwie
Tokens: 1_____ 2 3_________

Chunks:

(ChunkerEvaluator) Sentence #11 from 00100499 from sent11

Text  : Samolot PZL . 13 nie został zbudowany .
Tokens: 1______ 2__ 3 4_ 5__ 6_____ 7________ 8

Chunks:
  FalsePositive nam [1,4] = Samolot PZL . 13 (confidence=0.62) (incorrect boundry)
  FalseNegative nam [2,4] = PZL . 13

2017-06-14 20:13:31,455 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 2 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100628.xml
(ChunkerEvaluator) Sentence #12 from 00100628 from sent1

Text  : Dyżurny łęczyckiej komendy odebrał telefoniczne zgłoszenie od 65 - letniego mieszkańca Łęczycy o_ kradzieży na terenie działki rekreacyjnej ._
Tokens: 1______ 2_________ 3______ 4______ 5___________ 6_________ 7_ 8_ 9 10______ 11________ 12_____ 13 14_______ 15 16_____ 17_____ 18__________ 19

Chunks:
  TruePositive nam [12,12] = Łęczycy (confidence=0.99)

(ChunkerEvaluator) Sentence #13 from 00100628 from sent2

Text  : Pod wskazany adres skierowano patrol mundurowych , w ślad za nimi ekipę kryminalnych z_ technikiem ._
Tokens: 1__ 2_______ 3____ 4_________ 5_____ 6__________ 7 8 9___ 10 11__ 12___ 13__________ 14 15________ 16

Chunks:

(ChunkerEvaluator) Sentence #14 from 00100628 from sent3

Text  : Na miejscu ustalono przebieg zdarzenia .
Tokens: 1_ 2______ 3_______ 4_______ 5________ 6

Chunks:

(ChunkerEvaluator) Sentence #15 from 00100628 from sent4

Text  : Złodziej , niszcząc kłódkę , dostał się do pomieszczenia gospodarczego skąd zabrał 5_ kilogramów pomidorów ._
Tokens: 1_______ 2 3_______ 4_____ 5 6_____ 7__ 8_ 9____________ 10___________ 11__ 12____ 13 14________ 15_______ 16

Chunks:

(ChunkerEvaluator) Sentence #16 from 00100628 from sent5

Text  : Z kolejnego pomieszczenia zabrał 3 rolki taśmy klejącej .
Tokens: 1 2________ 3____________ 4_____ 5 6____ 7____ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #17 from 00100628 from sent6

Text  : Znalazł też beczkę z winem .
Tokens: 1______ 2__ 3_____ 4 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #18 from 00100628 from sent7

Text  : Nie mogąc jej przenieść poszukał taczki , włożył na nią skradzione rzeczy i_ wyruszył w_ drogę powrotną ._
Tokens: 1__ 2____ 3__ 4________ 5_______ 6_____ 7 8_____ 9_ 10_ 11________ 12____ 13 14______ 15 16___ 17______ 18

Chunks:

(ChunkerEvaluator) Sentence #19 from 00100628 from sent8

Text  : Natknął się jednak na przeszkodę .
Tokens: 1______ 2__ 3_____ 4_ 5_________ 6

Chunks:

(ChunkerEvaluator) Sentence #20 from 00100628 from sent9

Text  : Brama wjazdowa była zamknięta i nie mógł opuścić posesji ,_ więc przeciął siatkę ogrodzeniową ._
Tokens: 1____ 2_______ 3___ 4________ 5 6__ 7___ 8______ 9______ 10 11__ 12______ 13____ 14__________ 15

Chunks:

(ChunkerEvaluator) Sentence #21 from 00100628 from sent10

Text  : Do Komendy Powiatowej Policji w Poddębicach zgłosił się 29 -_ letni mieszkaniec Ozorkowa ._
Tokens: 1_ 2______ 3_________ 4______ 5 6__________ 7______ 8__ 9_ 10 11___ 12_________ 13______ 14

Chunks:
  TruePositive nam [2,4] = Komendy Powiatowej Policji (confidence=0.97)
  TruePositive nam [6,6] = Poddębicach (confidence=0.98)
  TruePositive nam [13,13] = Ozorkowa (confidence=1.00)

(ChunkerEvaluator) Sentence #22 from 00100628 from sent11

Text  : Podał , że jadąc fordem transitem w miejscowości Grotniki w_ kierunku Ozorkowa ,_ podczas jazdy nagle na drogę wybiegły nieustalone osoby i_ aby uniknąć z_ nimi zderzenia ,_ uderzył swoim autem w_ siatkę ogrodzeniową pobliskiej posesji a_ następnie w_ drzewo ._
Tokens: 1____ 2 3_ 4____ 5_____ 6________ 7 8___________ 9_______ 10 11______ 12______ 13 14_____ 15___ 16___ 17 18___ 19______ 20_________ 21___ 22 23_ 24_____ 25 26__ 27_______ 28 29_____ 30___ 31___ 32 33____ 34__________ 35________ 36_____ 37 38_______ 39 40____ 41

Chunks:
  TruePositive nam [9,9] = Grotniki (confidence=1.00)
  TruePositive nam [12,12] = Ozorkowa (confidence=1.00)
  FalseNegative nam [5,6] = fordem transitem

(ChunkerEvaluator) Sentence #23 from 00100628 from sent12

Text  : Pojazd pozostawił na miejscu zdarzenia a następnie sam zgłosił się do szpitala w_ Poddębicach ,_ gdzie jak się okazało jego małżonka zaczęła rodzić ._
Tokens: 1_____ 2_________ 3_ 4______ 5________ 6 7________ 8__ 9______ 10_ 11 12______ 13 14_________ 15 16___ 17_ 18_ 19_____ 20__ 21______ 22_____ 23____ 24

Chunks:
  TruePositive nam [14,14] = Poddębicach (confidence=0.99)

(ChunkerEvaluator) Sentence #24 from 00100628 from sent13

Text  : W trakcie zdarzenia na szczęście " młody tatuś " nie odniósł poważniejszych obrażeń -_ posiadał jedynie otarcia naskórka na głowie ._
Tokens: 1 2______ 3________ 4_ 5________ 6 7____ 8____ 9 10_ 11_____ 12____________ 13_____ 14 15______ 16_____ 17_____ 18______ 19 20____ 21

Chunks:

(ChunkerEvaluator) Sentence #25 from 00100628 from sent14

Text  : Policjanci poddali go badaniu na zawartość alkoholu w organizmie -_ był trzeźwy ._
Tokens: 1_________ 2______ 3_ 4______ 5_ 6________ 7_______ 8 9_________ 10 11_ 12_____ 13

Chunks:

(ChunkerEvaluator) Sentence #26 from 00100628 from sent15

Text  : Pozostałe czynności zostały przeprowadzone w Komendzie Powiatowej Policji w Zgierzu ._
Tokens: 1________ 2________ 3______ 4_____________ 5 6________ 7_________ 8______ 9 10_____ 11

Chunks:
  TruePositive nam [6,8] = Komendzie Powiatowej Policji (confidence=1.00)
  TruePositive nam [10,10] = Zgierzu (confidence=0.90)

2017-06-14 20:13:31,519 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 3 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101164.xml
(ChunkerEvaluator) Sentence #27 from 00101164 from sent1

Text  : Ołeksandr Omelczenko
Tokens: 1________ 2_________

Chunks:
  TruePositive nam [1,2] = Ołeksandr Omelczenko (confidence=0.99)

(ChunkerEvaluator) Sentence #28 from 00101164 from sent2

Text  : Ołeksandr Ołeksandrowicz Omelczenko , ukr . Олександр Олександрович Омельченко (_ ur ._ 9_ sierpnia 1938 w_ Zoziwie w_ obwodzie winnickim )_ –_ ukraiński polityk ,_ były mer Kijowa ,_ z_ wykształcenia inżynier budowlaniec ._
Tokens: 1________ 2_____________ 3_________ 4 5__ 6 7________ 8____________ 9_________ 10 11 12 13 14______ 15__ 16 17_____ 18 19______ 20_______ 21 22 23_______ 24_____ 25 26__ 27_ 28____ 29 30 31___________ 32______ 33_________ 34

Chunks:
  TruePositive nam [1,3] = Ołeksandr Ołeksandrowicz Omelczenko (confidence=0.99)
  TruePositive nam [7,9] = Олександр Олександрович Омельченко (confidence=1.00)
  TruePositive nam [17,17] = Zoziwie (confidence=1.00)
  TruePositive nam [28,28] = Kijowa (confidence=1.00)
  FalseNegative nam [20,20] = winnickim

(ChunkerEvaluator) Sentence #29 from 00101164 from sent3

Text  : Życiorys
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #30 from 00101164 from sent4

Text  : Do początku lat 90 . pracował w budownictwie .
Tokens: 1_ 2_______ 3__ 4_ 5 6_______ 7 8___________ 9

Chunks:

(ChunkerEvaluator) Sentence #31 from 00101164 from sent5

Text  : Od 1994 pełnił kierownicze funkcje w miejskiej administracji w Kijowie ._
Tokens: 1_ 2___ 3_____ 4__________ 5______ 6 7________ 8____________ 9 10_____ 11

Chunks:
  TruePositive nam [10,10] = Kijowie (confidence=1.00)

(ChunkerEvaluator) Sentence #32 from 00101164 from sent6

Text  : W 1999 został wybrany merem ukraińskiej stolicy , zajmował to stanowisko do 2006 ._
Tokens: 1 2___ 3_____ 4______ 5____ 6__________ 7______ 8 9_______ 10 11________ 12 13__ 14

Chunks:

(ChunkerEvaluator) Sentence #33 from 00101164 from sent7

Text  : Od 2001 przez kilka lat kierował Ukraińską Partią " Jedność "_ ,_ działającą głównie w_ Kijowie ._
Tokens: 1_ 2___ 3____ 4____ 5__ 6_______ 7________ 8_____ 9 10_____ 11 12 13________ 14_____ 15 16_____ 17

Chunks:
  TruePositive nam [16,16] = Kijowie (confidence=1.00)
  FalsePositive nam [7,10] = Ukraińską Partią " Jedność (confidence=1.00) (incorrect boundry)
  FalseNegative nam [7,11] = Ukraińską Partią " Jedność "

(ChunkerEvaluator) Sentence #34 from 00101164 from sent8

Text  : W latach 1996 – 2006 przewodniczył Ukraińskiej Federacji Hokeja ._
Tokens: 1 2_____ 3___ 4 5___ 6____________ 7__________ 8________ 9_____ 10

Chunks:
  TruePositive nam [7,9] = Ukraińskiej Federacji Hokeja (confidence=0.98)

(ChunkerEvaluator) Sentence #35 from 00101164 from sent9

Text  : Przez kilka lat był również prezydentem Stowarzyszenia Miast Ukrainy ._
Tokens: 1____ 2____ 3__ 4__ 5______ 6__________ 7_____________ 8____ 9______ 10

Chunks:
  TruePositive nam [7,9] = Stowarzyszenia Miast Ukrainy (confidence=1.00)

(ChunkerEvaluator) Sentence #36 from 00101164 from sent10

Text  : Jako mer Kijowa wystartował w wyborach prezydenckich w 2004 ,_ uzyskując w_ pierwszej turze około 0_ ,_ 5_ %_ głosów (_ 8_ ._ miejsce z_ 24 kandydatów )_ ._
Tokens: 1___ 2__ 3_____ 4__________ 5 6_______ 7____________ 8 9___ 10 11_______ 12 13_______ 14___ 15___ 16 17 18 19 20____ 21 22 23 24_____ 25 26 27________ 28 29

Chunks:
  TruePositive nam [3,3] = Kijowa (confidence=1.00)

(ChunkerEvaluator) Sentence #37 from 00101164 from sent11

Text  : Mimo , iż Ołeksandra Omelczenkę uważano za osobę związaną z_ dotychczasową władzą ,_ już drugiego dnia pomarańczowej rewolucji przeszedł na stronę opozycji ,_ udzielając poparcia Wiktorowi Juszczence ._
Tokens: 1___ 2 3_ 4_________ 5_________ 6______ 7_ 8____ 9_______ 10 11___________ 12____ 13 14_ 15______ 16__ 17___________ 18_______ 19_______ 20 21____ 22______ 23 24________ 25______ 26_______ 27________ 28

Chunks:
  TruePositive nam [4,5] = Ołeksandra Omelczenkę (confidence=1.00)
  TruePositive nam [26,27] = Wiktorowi Juszczence (confidence=1.00)

(ChunkerEvaluator) Sentence #38 from 00101164 from sent12

Text  : Decyzja ta miała istotne znaczenie dla koordynacji akcji protestacyjnej (_ władze Kijowa przekazały uczestnikom protestu swoją siedzibę w_ centrum miasta ,_ wydały także zarządzenie ,_ zgodnie z_ którym służby miejskie miały obowiązek udzielać pomocy )_ ._
Tokens: 1______ 2_ 3____ 4______ 5________ 6__ 7__________ 8____ 9_____________ 10 11____ 12____ 13________ 14_________ 15______ 16___ 17______ 18 19_____ 20____ 21 22____ 23___ 24_________ 25 26_____ 27 28____ 29____ 30______ 31___ 32_______ 33______ 34____ 35 36

Chunks:
  TruePositive nam [12,12] = Kijowa (confidence=0.99)

(ChunkerEvaluator) Sentence #39 from 00101164 from sent13

Text  : Decyzja Ołeksandra Omelczenki przyczyniła się też do postawy dowódców kijowskiej milicji ,_ którzy nieoficjalnie zapewnili przywódców opozycji ,_ iż nie użyją siły przeciwko demonstrantom ._
Tokens: 1______ 2_________ 3_________ 4__________ 5__ 6__ 7_ 8______ 9_______ 10________ 11_____ 12 13____ 14___________ 15_______ 16________ 17______ 18 19 20_ 21___ 22__ 23_______ 24___________ 25

Chunks:
  FalsePositive nam [1,3] = Decyzja Ołeksandra Omelczenki (confidence=0.67) (incorrect boundry)
  FalseNegative nam [2,3] = Ołeksandra Omelczenki

(ChunkerEvaluator) Sentence #40 from 00101164 from sent14

Text  : Mimo wsparcia ze strony Bloku Nasza Ukraina nie został ponownie wybrany na dotychczasową funkcję w_ wyborach w_ 2006 ._
Tokens: 1___ 2_______ 3_ 4_____ 5____ 6____ 7______ 8__ 9_____ 10______ 11_____ 12 13___________ 14_____ 15 16______ 17 18__ 19

Chunks:
  TruePositive nam [5,7] = Bloku Nasza Ukraina (confidence=1.00)

(ChunkerEvaluator) Sentence #41 from 00101164 from sent15

Text  : Nowym merem Kijowa został Leonid Czernowecki , biznesmen i deputowany (_ który w_ wyborach parlamentarnych w_ 2006 kandydował na posła z_ listy Bloku Nasza Ukraina )_ ,_ także należący do stronników Wiktora Juszczenki w_ 2004 ,_ a_ jednocześnie będący jednym z_ głównych przeciwników Ołeksandra Omelczenki ._
Tokens: 1____ 2____ 3_____ 4_____ 5_____ 6__________ 7 8________ 9 10________ 11 12___ 13 14______ 15_____________ 16 17__ 18________ 19 20___ 21 22___ 23___ 24___ 25_____ 26 27 28___ 29______ 30 31________ 32_____ 33________ 34 35__ 36 37 38__________ 39____ 40____ 41 42______ 43__________ 44________ 45________ 46

Chunks:
  TruePositive nam [3,3] = Kijowa (confidence=1.00)
  TruePositive nam [5,6] = Leonid Czernowecki (confidence=1.00)
  TruePositive nam [23,25] = Bloku Nasza Ukraina (confidence=1.00)
  TruePositive nam [32,33] = Wiktora Juszczenki (confidence=1.00)
  TruePositive nam [44,45] = Ołeksandra Omelczenki (confidence=1.00)

(ChunkerEvaluator) Sentence #42 from 00101164 from sent16

Text  : W przedterminowych wyborach parlamentarnych w 2007 mimo związanych z jego osobą kontrowersji z_ inicjatywy Jurija Łucenki został wpisany na wysokie 13 ._ miejsce na liście kandydatów bloku Nasza Ukraina -_ Ludowa Samoobrona ,_ co pozwoliło mu uzyskać mandat deputowanego Rady Najwyższej VI kadencji ._
Tokens: 1 2_______________ 3_______ 4______________ 5 6___ 7___ 8_________ 9 10__ 11___ 12__________ 13 14________ 15____ 16_____ 17____ 18_____ 19 20_____ 21 22 23_____ 24 25____ 26________ 27___ 28___ 29_____ 30 31____ 32________ 33 34 35_______ 36 37_____ 38____ 39__________ 40__ 41________ 42 43______ 44

Chunks:
  TruePositive nam [15,16] = Jurija Łucenki (confidence=1.00)
  TruePositive nam [40,41] = Rady Najwyższej (confidence=0.71)
  FalsePositive nam [28,29] = Nasza Ukraina (confidence=0.99) (incorrect boundry)
  FalsePositive nam [31,32] = Ludowa Samoobrona (confidence=0.88) (incorrect boundry)
  FalseNegative nam [28,32] = Nasza Ukraina - Ludowa Samoobrona

(ChunkerEvaluator) Sentence #43 from 00101164 from sent17

Text  : Życie prywatne
Tokens: 1____ 2_______

Chunks:

(ChunkerEvaluator) Sentence #44 from 00101164 from sent18

Text  : Syn byłego mera Kijowa , również Ołeksandr Omelczenko , w_ latach 2002 –_ 2007 był posłem do Rady Najwyższej z_ listy Naszej Ukrainy ._
Tokens: 1__ 2_____ 3___ 4_____ 5 6______ 7________ 8_________ 9 10 11____ 12__ 13 14__ 15_ 16____ 17 18__ 19________ 20 21___ 22____ 23_____ 24

Chunks:
  TruePositive nam [4,4] = Kijowa (confidence=1.00)
  TruePositive nam [7,8] = Ołeksandr Omelczenko (confidence=1.00)
  TruePositive nam [18,19] = Rady Najwyższej (confidence=1.00)
  TruePositive nam [22,23] = Naszej Ukrainy (confidence=0.79)

2017-06-14 20:13:31,620 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101166.xml
(ChunkerEvaluator) Sentence #45 from 00101166 from sent1

Text  : Przy Rynku Starego Miasta znajdują się kamienice , które w_ większości zostały zniszczone podczas II wojny światowej ._
Tokens: 1___ 2____ 3______ 4_____ 5_______ 6__ 7________ 8 9____ 10 11________ 12_____ 13________ 14_____ 15 16___ 17_______ 18

Chunks:
  TruePositive nam [15,17] = II wojny światowej (confidence=1.00)
  FalsePositive nam [2,4] = Rynku Starego Miasta (confidence=1.00) (incorrect boundry)
  FalseNegative nam [2,2] = Rynku
  FalseNegative nam [3,4] = Starego Miasta

(ChunkerEvaluator) Sentence #46 from 00101166 from sent2

Text  : Dziś mieszczą się w nich liczne sklepy , restauracje oraz kino Awangarda ._
Tokens: 1___ 2_______ 3__ 4 5___ 6_____ 7_____ 8 9__________ 10__ 11__ 12_______ 13

Chunks:
  TruePositive nam [12,12] = Awangarda (confidence=0.97)

(ChunkerEvaluator) Sentence #47 from 00101166 from sent3

Text  : Na środku rynku znajduje się zabytek Stary Ratusz , w_ którym się mieści dzisiaj Wojewódzka Biblioteka Publiczna ,_ która przeszła również generalny remont wraz z_ Rynkiem otaczającym Stary Ratusz ._
Tokens: 1_ 2_____ 3____ 4_______ 5__ 6______ 7____ 8_____ 9 10 11____ 12_ 13____ 14_____ 15________ 16________ 17_______ 18 19___ 20______ 21_____ 22_______ 23____ 24__ 25 26_____ 27_________ 28___ 29____ 30

Chunks:
  TruePositive nam [7,8] = Stary Ratusz (confidence=0.88)
  TruePositive nam [15,17] = Wojewódzka Biblioteka Publiczna (confidence=1.00)
  TruePositive nam [26,26] = Rynkiem (confidence=0.87)
  TruePositive nam [28,29] = Stary Ratusz (confidence=0.95)

(ChunkerEvaluator) Sentence #48 from 00101166 from sent4

Text  : Dane Rynku
Tokens: 1___ 2____

Chunks:
  FalsePositive nam [1,2] = Dane Rynku (confidence=0.77) (incorrect boundry)
  FalseNegative nam [2,2] = Rynku

(ChunkerEvaluator) Sentence #49 from 00101166 from sent5

Text  : Rynek Starego Miasta znajduje się w środku Starego Miasta i_ ma kształt prostokątny ._
Tokens: 1____ 2______ 3_____ 4_______ 5__ 6 7_____ 8______ 9_____ 10 11 12_____ 13_________ 14

Chunks:
  TruePositive nam [8,9] = Starego Miasta (confidence=1.00)
  FalsePositive nam [1,3] = Rynek Starego Miasta (confidence=1.00) (incorrect boundry)
  FalseNegative nam [1,1] = Rynek
  FalseNegative nam [2,3] = Starego Miasta

(ChunkerEvaluator) Sentence #50 from 00101166 from sent6

Text  : Od Rynku Starego Miasta odbiegają następujące ulice :
Tokens: 1_ 2____ 3______ 4_____ 5________ 6__________ 7____ 8

Chunks:
  FalsePositive nam [2,4] = Rynku Starego Miasta (confidence=1.00) (incorrect boundry)
  FalseNegative nam [2,2] = Rynku
  FalseNegative nam [3,4] = Starego Miasta

(ChunkerEvaluator) Sentence #51 from 00101166 from sent7

Text  : w północno - zachodnim rogu rynku : ulica Gazety Olsztyńskiej (_ na północ )_ i_ ulica Zamkowa (_ na zachód )_
Tokens: 1 2_______ 3 4________ 5___ 6____ 7 8____ 9_____ 10__________ 11 12 13____ 14 15 16___ 17_____ 18 19 20____ 21

Chunks:
  TruePositive nam [9,10] = Gazety Olsztyńskiej (confidence=1.00)
  TruePositive nam [17,17] = Zamkowa (confidence=1.00)

(ChunkerEvaluator) Sentence #52 from 00101166 from sent8

Text  : w północno - wschodnim rogu rynku : ulica Staromiejska (_ na północ )_ i_ ulica Św ._ Barbary (_ na wschód )_
Tokens: 1 2_______ 3 4________ 5___ 6____ 7 8____ 9___________ 10 11 12____ 13 14 15___ 16 17 18_____ 19 20 21____ 22

Chunks:
  TruePositive nam [9,9] = Staromiejska (confidence=0.99)
  TruePositive nam [16,18] = Św . Barbary (confidence=1.00)

(ChunkerEvaluator) Sentence #53 from 00101166 from sent9

Text  : w południowo - wschodnim rogu rynku : ulica Staszica (_ na wschód )_ i_ ulica Prosta (_ na południe )_
Tokens: 1 2_________ 3 4________ 5___ 6____ 7 8____ 9_______ 10 11 12____ 13 14 15___ 16____ 17 18 19______ 20

Chunks:
  TruePositive nam [9,9] = Staszica (confidence=1.00)
  TruePositive nam [16,16] = Prosta (confidence=1.00)

(ChunkerEvaluator) Sentence #54 from 00101166 from sent10

Text  : w południowo - zachodnim rogu rynku : ulica Kołłątaja (_ na południe )_ i_ ulica Jana z_ Łajs (_ na zachód )_
Tokens: 1 2_________ 3 4________ 5___ 6____ 7 8____ 9________ 10 11 12______ 13 14 15___ 16__ 17 18__ 19 20 21____ 22

Chunks:
  TruePositive nam [9,9] = Kołłątaja (confidence=1.00)
  FalsePositive nam [16,16] = Jana (confidence=1.00) (incorrect boundry)
  FalsePositive nam [18,18] = Łajs (confidence=0.50) (incorrect boundry)
  FalseNegative nam [16,18] = Jana z Łajs

(ChunkerEvaluator) Sentence #55 from 00101166 from sent11

Text  : Historia Rynku
Tokens: 1_______ 2____

Chunks:
  FalsePositive nam [1,2] = Historia Rynku (confidence=0.69) (incorrect boundry)
  FalseNegative nam [2,2] = Rynku

(ChunkerEvaluator) Sentence #56 from 00101166 from sent12

Text  : Nazwa Rynku za czasów Prus Wschodnich brzmiała Markt – czyli Rynek ._
Tokens: 1____ 2____ 3_ 4_____ 5___ 6_________ 7_______ 8____ 9 10___ 11___ 12

Chunks:
  TruePositive nam [2,2] = Rynku (confidence=0.87)
  TruePositive nam [5,6] = Prus Wschodnich (confidence=0.99)
  TruePositive nam [8,8] = Markt (confidence=0.94)
  TruePositive nam [11,11] = Rynek (confidence=0.99)

(ChunkerEvaluator) Sentence #57 from 00101166 from sent13

Text  : Początki Rynku sięgają XIV wieku , wraz z budową Starego Ratusza i_ osiągnięciem przez Olsztyn praw miejskich ._
Tokens: 1_______ 2____ 3______ 4__ 5____ 6 7___ 8 9_____ 10_____ 11_____ 12 13__________ 14___ 15_____ 16__ 17_______ 18

Chunks:
  TruePositive nam [2,2] = Rynku (confidence=0.87)
  TruePositive nam [10,11] = Starego Ratusza (confidence=0.99)
  TruePositive nam [15,15] = Olsztyn (confidence=0.95)

(ChunkerEvaluator) Sentence #58 from 00101166 from sent14

Text  : Rynek zawsze pełnił rolę miejsca handlu w Olsztynie od początku swego istnienia ._
Tokens: 1____ 2_____ 3_____ 4___ 5______ 6_____ 7 8________ 9_ 10______ 11___ 12_______ 13

Chunks:
  TruePositive nam [1,1] = Rynek (confidence=0.98)
  TruePositive nam [8,8] = Olsztynie (confidence=1.00)

(ChunkerEvaluator) Sentence #59 from 00101166 from sent15

Text  : Rynek , jak i większość miasta Olsztyna uległ zniszczeniu przez pożar ,_ który zniszczył większość domów i_ budynków na terenie miasta ._
Tokens: 1____ 2 3__ 4 5________ 6_____ 7_______ 8____ 9__________ 10___ 11___ 12 13___ 14_______ 15_______ 16___ 17 18______ 19 20_____ 21____ 22

Chunks:
  TruePositive nam [1,1] = Rynek (confidence=0.78)
  TruePositive nam [7,7] = Olsztyna (confidence=1.00)

(ChunkerEvaluator) Sentence #60 from 00101166 from sent16

Text  : Z okolicznych miast i wsi ludzie przyjeżdżali tu przede wszystkim na handel żywnością oraz towarami ._
Tokens: 1 2__________ 3____ 4 5__ 6_____ 7___________ 8_ 9_____ 10_______ 11 12____ 13_______ 14__ 15______ 16

Chunks:

(ChunkerEvaluator) Sentence #61 from 00101166 from sent17

Text  : Handel również odbywał się w samym Starym Ratuszu i w_ jego piwnicach ._
Tokens: 1_____ 2______ 3______ 4__ 5 6____ 7_____ 8______ 9 10 11__ 12_______ 13

Chunks:
  TruePositive nam [7,8] = Starym Ratuszu (confidence=0.81)

(ChunkerEvaluator) Sentence #62 from 00101166 from sent18

Text  : Pozycja Rynku spełniała strategiczną rolę , była pośrodku osi północ -_ południe ,_ na północ Górne Przedmieście (_ Oberrohstadt )_ i_ ulica Staromiejska (_ dawna ulica Górna –_ Oberstr ._ )_ prowadząca do Bramy Górnej –_ również znanej jako Wysoka Brama ._
Tokens: 1______ 2____ 3________ 4___________ 5___ 6 7___ 8_______ 9__ 10____ 11 12______ 13 14 15____ 16___ 17__________ 18 19__________ 20 21 22___ 23__________ 24 25___ 26___ 27___ 28 29_____ 30 31 32________ 33 34___ 35____ 36 37_____ 38____ 39__ 40____ 41___ 42

Chunks:
  TruePositive nam [2,2] = Rynku (confidence=0.70)
  TruePositive nam [16,17] = Górne Przedmieście (confidence=0.98)
  TruePositive nam [19,19] = Oberrohstadt (confidence=0.95)
  TruePositive nam [23,23] = Staromiejska (confidence=1.00)
  TruePositive nam [27,27] = Górna (confidence=1.00)
  TruePositive nam [34,35] = Bramy Górnej (confidence=1.00)
  TruePositive nam [40,41] = Wysoka Brama (confidence=1.00)
  FalseNegative nam [29,30] = Oberstr .

(ChunkerEvaluator) Sentence #63 from 00101166 from sent19

Text  : Zaś na południe Dolne Przedmieście ( Unterrohstadt ) i ulica Prosta (_ Richtstr ._ )_ ,_ która prowadzi do miejsca dawnej Bramy Dolnej –_ która dziś już nie istnieje ._
Tokens: 1__ 2_ 3_______ 4____ 5___________ 6 7____________ 8 9 10___ 11____ 12 13______ 14 15 16 17___ 18______ 19 20_____ 21____ 22___ 23____ 24 25___ 26__ 27_ 28_ 29______ 30

Chunks:
  TruePositive nam [4,5] = Dolne Przedmieście (confidence=1.00)
  TruePositive nam [7,7] = Unterrohstadt (confidence=0.99)
  TruePositive nam [11,11] = Prosta (confidence=1.00)
  TruePositive nam [22,23] = Bramy Dolnej (confidence=0.98)
  FalseNegative nam [13,14] = Richtstr .

(ChunkerEvaluator) Sentence #64 from 00101166 from sent20

Text  : 15 grudnia 1907 , uruchomiono linię tramwajową linii 1 łączącą pierwotnie Most św ._ Jana (_ a_ później Jezioro Długie )_ przy ulicy Prostej z_ Dworcem Głównym przez ulicę Staromiejską ,_ które przejeżdżały przez wschodnią część Rynku ._
Tokens: 1_ 2______ 3___ 4 5__________ 6____ 7_________ 8____ 9 10_____ 11________ 12__ 13 14 15__ 16 17 18_____ 19_____ 20____ 21 22__ 23___ 24_____ 25 26_____ 27_____ 28___ 29___ 30__________ 31 32___ 33__________ 34___ 35_______ 36___ 37___ 38

Chunks:
  TruePositive nam [12,15] = Most św . Jana (confidence=1.00)
  TruePositive nam [19,20] = Jezioro Długie (confidence=0.99)
  TruePositive nam [24,24] = Prostej (confidence=0.98)
  TruePositive nam [26,27] = Dworcem Głównym (confidence=0.99)
  TruePositive nam [30,30] = Staromiejską (confidence=0.98)
  TruePositive nam [37,37] = Rynku (confidence=0.98)

(ChunkerEvaluator) Sentence #65 from 00101166 from sent21

Text  : Do lat 20 . XX wieku , na terenie Rynku znajdował się browar ,_ który został w_ celu powiększenia Starego Ratusza ._
Tokens: 1_ 2__ 3_ 4 5_ 6____ 7 8_ 9______ 10___ 11_______ 12_ 13____ 14 15___ 16____ 17 18__ 19__________ 20_____ 21_____ 22

Chunks:
  TruePositive nam [10,10] = Rynku (confidence=0.92)
  TruePositive nam [20,21] = Starego Ratusza (confidence=0.94)

2017-06-14 20:13:31,727 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101188.xml
(ChunkerEvaluator) Sentence #66 from 00101188 from sent1

Text  : Abdelaziz Buteflika
Tokens: 1________ 2________

Chunks:
  TruePositive nam [1,2] = Abdelaziz Buteflika (confidence=0.99)

(ChunkerEvaluator) Sentence #67 from 00101188 from sent2

Text  : Abdelaziz Buteflika , Bouteflika ( عبد العزيز بوتفليقة = Abd al -_ Aziz Butiflika )_ (_ ur ._ 2_ marca 1937 )_ -_ polityk algierski ,_ prezydent Algierii od 27 kwietnia 1999 ._
Tokens: 1________ 2________ 3 4_________ 5 6__ 7_____ 8_______ 9 10_ 11 12 13__ 14_______ 15 16 17 18 19 20___ 21__ 22 23 24_____ 25_______ 26 27_______ 28______ 29 30 31______ 32__ 33

Chunks:
  TruePositive nam [1,2] = Abdelaziz Buteflika (confidence=0.98)
  TruePositive nam [4,4] = Bouteflika (confidence=0.99)
  TruePositive nam [10,14] = Abd al - Aziz Butiflika (confidence=0.90)
  TruePositive nam [28,28] = Algierii (confidence=1.00)
  FalseNegative nam [6,8] = عبد العزيز بوتفليقة

(ChunkerEvaluator) Sentence #68 from 00101188 from sent3

Text  : Brał udział w wojnie o niepodległość Algierii .
Tokens: 1___ 2_____ 3 4_____ 5 6____________ 7_______ 8

Chunks:
  TruePositive nam [7,7] = Algierii (confidence=1.00)

(ChunkerEvaluator) Sentence #69 from 00101188 from sent4

Text  : Od 1963 do 1979 minister spraw zagranicznych , następnie odsunięty od władzy ,_ na emigracji ._
Tokens: 1_ 2___ 3_ 4___ 5_______ 6____ 7____________ 8 9________ 10_______ 11 12____ 13 14 15_______ 16

Chunks:

(ChunkerEvaluator) Sentence #70 from 00101188 from sent5

Text  : W 1999 wybrany na urząd prezydencki z poparciem władz jako kandydat formalnie niezależny (_ kontrkandydaci wycofali się z_ wyborów i_ zarzucili władzom oszustwa wyborcze )_ ._
Tokens: 1 2___ 3______ 4_ 5____ 6__________ 7 8________ 9____ 10__ 11______ 12_______ 13________ 14 15____________ 16______ 17_ 18 19_____ 20 21_______ 22_____ 23______ 24______ 25 26

Chunks:

(ChunkerEvaluator) Sentence #71 from 00101188 from sent6

Text  : W 2004 wybrany po raz kolejny .
Tokens: 1 2___ 3______ 4_ 5__ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #72 from 00101188 from sent7

Text  : Głównym zadaniem Butefliki jest przywrócenie pokoju i zwalczenie terrorystycznego fundamentalizmu islamskiego ._
Tokens: 1______ 2_______ 3________ 4___ 5___________ 6_____ 7 8_________ 9_______________ 10_____________ 11_________ 12

Chunks:
  TruePositive nam [3,3] = Butefliki (confidence=0.96)

(ChunkerEvaluator) Sentence #73 from 00101188 from sent8

Text  : 11 kwietnia 2009 roku został wybrany na trzecią kadencję ._
Tokens: 1_ 2_______ 3___ 4___ 5_____ 6______ 7_ 8______ 9_______ 10

Chunks:

2017-06-14 20:13:31,759 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101223.xml
(ChunkerEvaluator) Sentence #74 from 00101223 from sent1

Text  : Do innych zabytków wsi należy klasycystyczny zespół pałacowo - parkowy ,_ będący dawniej siedzibą jednej z_ gałęzi hrabiowskiego rodu Platerów (_ z_ którego wywodziła się m_ ._ in ._ Emilia Plater )_ ._
Tokens: 1_ 2_____ 3_______ 4__ 5_____ 6_____________ 7_____ 8_______ 9 10_____ 11 12____ 13_____ 14______ 15____ 16 17____ 18___________ 19__ 20______ 21 22 23_____ 24_______ 25_ 26 27 28 29 30____ 31____ 32 33

Chunks:
  TruePositive nam [20,20] = Platerów (confidence=1.00)
  TruePositive nam [30,31] = Emilia Plater (confidence=1.00)

(ChunkerEvaluator) Sentence #75 from 00101223 from sent2

Text  : Teren pałacowy został odnowiony w latach 90 . XX w_ ._
Tokens: 1____ 2_______ 3_____ 4________ 5 6_____ 7_ 8 9_ 10 11

Chunks:

(ChunkerEvaluator) Sentence #76 from 00101223 from sent3

Text  : Obecnie mieści się tam Ośrodek Szkoleniowy ZUS-u .
Tokens: 1______ 2_____ 3__ 4__ 5______ 6__________ 7____ 8

Chunks:
  FalsePositive nam [5,7] = Ośrodek Szkoleniowy ZUS-u (confidence=0.98) (incorrect boundry)
  FalseNegative nam [5,6] = Ośrodek Szkoleniowy
  FalseNegative nam [7,7] = ZUS-u

(ChunkerEvaluator) Sentence #77 from 00101223 from sent4

Text  : Teren nie jest dostępny dla zwiedzających .
Tokens: 1____ 2__ 3___ 4_______ 5__ 6____________ 7

Chunks:

(ChunkerEvaluator) Sentence #78 from 00101223 from sent5

Text  : Do przyrodniczych atrakcji Osuchowa zaliczają się rezerwat przyrody Grądy Osuchowskie i_ zabytkowa aleja obsadzona ponad stuletnimi lipami ,_ wpisana na listę pomników przyrody ._
Tokens: 1_ 2_____________ 3_______ 4_______ 5________ 6__ 7_______ 8_______ 9____ 10_________ 11 12_______ 13___ 14_______ 15___ 16________ 17____ 18 19_____ 20 21___ 22______ 23______ 24

Chunks:
  TruePositive nam [4,4] = Osuchowa (confidence=0.96)
  TruePositive nam [9,10] = Grądy Osuchowskie (confidence=0.84)

(ChunkerEvaluator) Sentence #79 from 00101223 from sent6

Text  : Historia miejscowości
Tokens: 1_______ 2___________

Chunks:

(ChunkerEvaluator) Sentence #80 from 00101223 from sent7

Text  : Najstarsza wzmianka o Osuchowie pochodzi z kroniki Jana Długosza i_ dotyczy pobytu w_ tej miejscowości króla Władysława Jagiełły w_ grudniu 1410 ._
Tokens: 1_________ 2_______ 3 4________ 5_______ 6 7______ 8___ 9_______ 10 11_____ 12____ 13 14_ 15__________ 16___ 17________ 18______ 19 20_____ 21__ 22

Chunks:
  TruePositive nam [4,4] = Osuchowie (confidence=0.97)
  TruePositive nam [8,9] = Jana Długosza (confidence=1.00)
  TruePositive nam [17,18] = Władysława Jagiełły (confidence=0.99)

(ChunkerEvaluator) Sentence #81 from 00101223 from sent8

Text  : Wieś należała wówczas wraz z drewnianym dworem do szlacheckiego rodu Radziejowskich ._
Tokens: 1___ 2_______ 3______ 4___ 5 6_________ 7_____ 8_ 9____________ 10__ 11____________ 12

Chunks:
  TruePositive nam [11,11] = Radziejowskich (confidence=0.52)

(ChunkerEvaluator) Sentence #82 from 00101223 from sent9

Text  : Staraniem Feliksa Wołowskiego w miejsce drewnianego dworu zbudowano w XIX w_ ._ istniejący do dziś neoklasycystyczny pałac (_ zob ._ zespół pałacowo -_ parkowy w_ Osuchowie )_ ._
Tokens: 1________ 2______ 3__________ 4 5______ 6__________ 7____ 8________ 9 10_ 11 12 13________ 14 15__ 16_______________ 17___ 18 19_ 20 21____ 22______ 23 24_____ 25 26_______ 27 28

Chunks:
  TruePositive nam [2,3] = Feliksa Wołowskiego (confidence=1.00)
  TruePositive nam [26,26] = Osuchowie (confidence=1.00)

(ChunkerEvaluator) Sentence #83 from 00101223 from sent10

Text  : Wraz z otaczającym go parkiem i terenami gruntów wsi Osuchów został zakupiony ok ._ 1889 r_ ._ przez hrabiowską rodzinę Platerów i_ pozostał w_ ich rękach aż do konfiskaty w_ 1944 r_ ._
Tokens: 1___ 2 3__________ 4_ 5______ 6 7_______ 8______ 9__ 10_____ 11____ 12_______ 13 14 15__ 16 17 18___ 19________ 20_____ 21______ 22 23______ 24 25_ 26____ 27 28 29________ 30 31__ 32 33

Chunks:
  TruePositive nam [10,10] = Osuchów (confidence=1.00)
  TruePositive nam [21,21] = Platerów (confidence=1.00)

(ChunkerEvaluator) Sentence #84 from 00101223 from sent11

Text  : Osuchów w latach 1954 - 1972 ( do reformy administracyjnej )_ był gromadą i_ pełnił funkcje ośrodka administracyjnego dla całego regionu południowo -_ wschodniej części dzisiejszej gminy Mszczonów ._
Tokens: 1______ 2 3_____ 4___ 5 6___ 7 8_ 9______ 10______________ 11 12_ 13_____ 14 15____ 16_____ 17_____ 18_______________ 19_ 20____ 21_____ 22________ 23 24________ 25____ 26_________ 27___ 28_______ 29

Chunks:
  TruePositive nam [1,1] = Osuchów (confidence=0.69)
  TruePositive nam [28,28] = Mszczonów (confidence=1.00)

(ChunkerEvaluator) Sentence #85 from 00101223 from sent12

Text  : Zagospodarowanie terenu i środowisko przyrodnicze
Tokens: 1_______________ 2_____ 3 4_________ 5___________

Chunks:

(ChunkerEvaluator) Sentence #86 from 00101223 from sent13

Text  : Tereny wsi w znacznej mierze ( około 52 , 3_ %_ )_ pokrywają lasy mieszane z_ przewagą drzew liściastych ,_ na obszarze rezerwatu Grądy Osuchowskie występuje także flora właściwa dla obszarów bagiennych ._
Tokens: 1_____ 2__ 3 4_______ 5_____ 6 7____ 8_ 9 10 11 12 13_______ 14__ 15______ 16 17______ 18___ 19_________ 20 21 22______ 23_______ 24___ 25_________ 26_______ 27___ 28___ 29______ 30_ 31______ 32________ 33

Chunks:
  TruePositive nam [24,25] = Grądy Osuchowskie (confidence=0.55)

(ChunkerEvaluator) Sentence #87 from 00101223 from sent14

Text  : Uprawa się głównie zboża i ziemniaki , istnieją też sady jabłoniowe ._
Tokens: 1_____ 2__ 3______ 4____ 5 6________ 7 8_______ 9__ 10__ 11________ 12

Chunks:

(ChunkerEvaluator) Sentence #88 from 00101223 from sent15

Text  : W lasach często pojawiają się wędrowne sarny , głównym przedstawicielem ptactwa łownego jest bażant ._
Tokens: 1 2_____ 3_____ 4________ 5__ 6_______ 7____ 8 9______ 10______________ 11_____ 12_____ 13__ 14____ 15

Chunks:

(ChunkerEvaluator) Sentence #89 from 00101223 from sent16

Text  : Wieś znajduje się także na trasie przelotów migrujących bocianów ,_ a_ także dzikich gęsi ._
Tokens: 1___ 2_______ 3__ 4____ 5_ 6_____ 7________ 8__________ 9_______ 10 11 12___ 13_____ 14__ 15

Chunks:

2017-06-14 20:13:31,836 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 7 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101232.xml
(ChunkerEvaluator) Sentence #90 from 00101232 from sent1

Text  : Punktem zwrotnym był rok 1968 – Ofensywa Tet .
Tokens: 1______ 2_______ 3__ 4__ 5___ 6 7_______ 8__ 9

Chunks:
  TruePositive nam [7,8] = Ofensywa Tet (confidence=0.64)

(ChunkerEvaluator) Sentence #91 from 00101232 from sent2

Text  : 30 stycznia ( Nowy Rok według kalendarza chińskiego ) siły komunistyczne złamały niepisane zawieszenie broni atakując najważniejsze bazy oraz dążyły do przeniesienia walk do miast –_ walki objęły Sajgon ._
Tokens: 1_ 2_______ 3 4___ 5__ 6_____ 7_________ 8_________ 9 10__ 11___________ 12_____ 13_______ 14_________ 15___ 16______ 17___________ 18__ 19__ 20____ 21 22___________ 23__ 24 25___ 26 27___ 28____ 29____ 30

Chunks:
  TruePositive nam [4,5] = Nowy Rok (confidence=0.93)
  TruePositive nam [29,29] = Sajgon (confidence=0.99)

(ChunkerEvaluator) Sentence #92 from 00101232 from sent3

Text  : Między innymi ciężkie walki toczyły się o " miasto cesarskie "_ –_ Huế ,_ gdzie amerykańska piechota morska ,_ wraz z_ armią Republiki Wietnamu (_ ARVN )_ stawiała opór komunistom ._
Tokens: 1_____ 2_____ 3______ 4____ 5______ 6__ 7 8 9_____ 10_______ 11 12 13_ 14 15___ 16_________ 17______ 18____ 19 20__ 21 22___ 23_______ 24______ 25 26__ 27 28______ 29__ 30________ 31

Chunks:
  TruePositive nam [13,13] = Huế (confidence=1.00)
  TruePositive nam [23,24] = Republiki Wietnamu (confidence=1.00)
  TruePositive nam [26,26] = ARVN (confidence=1.00)

(ChunkerEvaluator) Sentence #93 from 00101232 from sent4

Text  : Po zdobyciu miasta siły Vietcongu oraz armii Wietnamu Północnego dokonały masakry ludności cywilnej ,_ w_ większości osób z_ wyższym wykształceniem ,_ a_ także wszystkich pracowników cywilnej administracji ._
Tokens: 1_ 2_______ 3_____ 4___ 5________ 6___ 7____ 8_______ 9_________ 10______ 11_____ 12______ 13______ 14 15 16________ 17__ 18 19_____ 20____________ 21 22 23___ 24________ 25_________ 26______ 27___________ 28

Chunks:
  TruePositive nam [5,5] = Vietcongu (confidence=0.90)
  TruePositive nam [8,9] = Wietnamu Północnego (confidence=1.00)

(ChunkerEvaluator) Sentence #94 from 00101232 from sent5

Text  : Oblicza się , że w ciągu 24 dni sprawowania kontroli wymordowano 3_ -_ 4_ ,_ 5_ tys ._ cywilów ,_ pomiędzy którymi znajdowali się także obywatele francuscy ,_ amerykańscy i_ zachodnioniemieccy ._
Tokens: 1______ 2__ 3 4_ 5 6____ 7_ 8__ 9__________ 10______ 11_________ 12 13 14 15 16 17_ 18 19_____ 20 21______ 22_____ 23________ 24_ 25___ 26_______ 27_______ 28 29_________ 30 31________________ 32

Chunks:

(ChunkerEvaluator) Sentence #95 from 00101232 from sent6

Text  : Ofensywa Tet była porażką komunistów z czysto wojskowego punktu widzenia ,_ mimo ogromnego wsparcia wojskowego z_ ZSRR i_ Chińskiej Republiki Ludowej w_ postaci sprzętu i_ doradców wojskowych (_ przebywających na stałe w_ DRW )_ –_ ZSRR zainstalował w_ Wietnamie północnym rakiety przeciwlotnicze ,_ zaopatrywał lotnictwo DRW w_ samoloty np ._ MiG -_ 17 czy MiG -_ 21 ,_ czołgi np ._ T_ -_ 55 ,_ szkolił na terytorium ZSRR pilotów północnowietnamskich oraz dostarczał Vietcongowi broń produkowaną w_ krajach satelickich np ._ Czechosłowacji i_ samym ZSRR np ._ karabin automatyczny AK -_ 47 ._
Tokens: 1_______ 2__ 3___ 4______ 5_________ 6 7_____ 8_________ 9_____ 10______ 11 12__ 13_______ 14______ 15________ 16 17__ 18 19_______ 20_______ 21_____ 22 23_____ 24_____ 25 26______ 27________ 28 29____________ 30 31___ 32 33_ 34 35 36__ 37__________ 38 39_______ 40_______ 41_____ 42_____________ 43 44_________ 45_______ 46_ 47 48______ 49 50 51_ 52 53 54_ 55_ 56 57 58 59____ 60 61 62 63 64 65 66_____ 67 68________ 69__ 70_____ 71__________________ 72__ 73________ 74_________ 75__ 76_________ 77 78_____ 79_________ 80 81 82____________ 83 84___ 85__ 86 87 88_____ 89__________ 90 91 92 93

Chunks:
  TruePositive nam [1,2] = Ofensywa Tet (confidence=1.00)
  TruePositive nam [17,17] = ZSRR (confidence=1.00)
  TruePositive nam [19,21] = Chińskiej Republiki Ludowej (confidence=1.00)
  TruePositive nam [33,33] = DRW (confidence=1.00)
  TruePositive nam [36,36] = ZSRR (confidence=0.64)
  TruePositive nam [46,46] = DRW (confidence=0.96)
  TruePositive nam [51,53] = MiG - 17 (confidence=1.00)
  TruePositive nam [55,57] = MiG - 21 (confidence=1.00)
  TruePositive nam [62,64] = T - 55 (confidence=0.92)
  TruePositive nam [69,69] = ZSRR (confidence=0.94)
  TruePositive nam [74,74] = Vietcongowi (confidence=0.92)
  TruePositive nam [85,85] = ZSRR (confidence=0.68)
  TruePositive nam [90,92] = AK - 47 (confidence=0.99)
  FalsePositive nam [39,39] = Wietnamie (confidence=1.00) (incorrect boundry)
  FalseNegative nam [39,40] = Wietnamie północnym
  FalseNegative nam [82,82] = Czechosłowacji

(ChunkerEvaluator) Sentence #96 from 00101232 from sent7

Text  : Wietnam Północny dysponował także przewagą wywiadowczą ( Vietcong znał daty i_ cele wszystkich nalotów amerykańskich i_ wielu operacji wojskowych )_ ._
Tokens: 1______ 2_______ 3_________ 4____ 5_______ 6__________ 7 8_______ 9___ 10__ 11 12__ 13________ 14_____ 15___________ 16 17___ 18______ 19________ 20 21

Chunks:
  TruePositive nam [1,2] = Wietnam Północny (confidence=1.00)
  TruePositive nam [8,8] = Vietcong (confidence=0.99)

(ChunkerEvaluator) Sentence #97 from 00101232 from sent8

Text  : Ponadto Chińska Republika Ludowa dostarczała Wietnamowi Północnemu dziesiątki tysięcy robotników do pracy w_ przemyśle i_ specjalistów różnych dziedzin ,_ aby zwiększyć w_ ten sposób nabór Wietnamczyków do północnowietnamskiej armii ._
Tokens: 1______ 2______ 3________ 4_____ 5__________ 6_________ 7_________ 8_________ 9______ 10________ 11 12___ 13 14_______ 15 16__________ 17_____ 18______ 19 20_ 21_______ 22 23_ 24____ 25___ 26___________ 27 28__________________ 29___ 30

Chunks:
  TruePositive nam [2,4] = Chińska Republika Ludowa (confidence=1.00)
  TruePositive nam [6,7] = Wietnamowi Północnemu (confidence=1.00)
  TruePositive nam [26,26] = Wietnamczyków (confidence=0.93)

(ChunkerEvaluator) Sentence #98 from 00101232 from sent9

Text  : Mimo to Vietcong nie był w stanie uzyskać znaczącej militarnej przewagi zarówno przed jak i_ w_ czasie Ofensywy Tet ._
Tokens: 1___ 2_ 3_______ 4__ 5__ 6 7_____ 8______ 9________ 10________ 11______ 12_____ 13___ 14_ 15 16 17____ 18______ 19_ 20

Chunks:
  TruePositive nam [3,3] = Vietcong (confidence=1.00)
  TruePositive nam [18,19] = Ofensywy Tet (confidence=1.00)

(ChunkerEvaluator) Sentence #99 from 00101232 from sent10

Text  : Kampania okazała się jednak wielkim sukcesem psychologicznym i propagandowym –_ skala ataków dała do zrozumienia amerykańskiej opinii publicznej że oficjalne komunikaty rządu amerykańskiego o_ przebiegu wojny były zdecydowanie zbyt optymistyczne ._
Tokens: 1_______ 2______ 3__ 4_____ 5______ 6_______ 7______________ 8 9____________ 10 11___ 12____ 13__ 14 15_________ 16___________ 17____ 18________ 19 20_______ 21________ 22___ 23____________ 24 25_______ 26___ 27__ 28__________ 29__ 30___________ 31

Chunks:

(ChunkerEvaluator) Sentence #100 from 00101232 from sent11

Text  : Stało się jasne że trzy lata obecności setek tysięcy żołnierzy amerykańskich w_ Wietnamie nie zdołało pokonać komunistycznych partyzantów ._
Tokens: 1____ 2__ 3____ 4_ 5___ 6___ 7________ 8____ 9______ 10_______ 11___________ 12 13_______ 14_ 15_____ 16_____ 17_____________ 18_________ 19

Chunks:
  TruePositive nam [13,13] = Wietnamie (confidence=1.00)

(ChunkerEvaluator) Sentence #101 from 00101232 from sent12

Text  : W wyniku tego nastąpił gwałtowny spadek zaufania i poparcia dla administracji prezydenta Johnsona ._
Tokens: 1 2_____ 3___ 4_______ 5________ 6_____ 7_______ 8 9_______ 10_ 11___________ 12________ 13______ 14

Chunks:
  TruePositive nam [13,13] = Johnsona (confidence=1.00)

2017-06-14 20:13:31,936 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 8 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101238.xml
(ChunkerEvaluator) Sentence #102 from 00101238 from sent1

Text  : Batalion ON " Brzeżany "
Tokens: 1_______ 2_ 3 4_______ 5

Chunks:
  TruePositive nam [1,5] = Batalion ON " Brzeżany " (confidence=0.91)

(ChunkerEvaluator) Sentence #103 from 00101238 from sent2

Text  : Brzeżański Batalion Obrony Narodowej ( Batalion ON " Brzeżany "_ )_ -_ pododdział piechoty Wojska Polskiego II RP ._
Tokens: 1_________ 2_______ 3_____ 4________ 5 6_______ 7_ 8 9_______ 10 11 12 13________ 14______ 15____ 16_______ 17 18 19

Chunks:
  TruePositive nam [1,4] = Brzeżański Batalion Obrony Narodowej (confidence=1.00)
  TruePositive nam [15,16] = Wojska Polskiego (confidence=0.99)
  TruePositive nam [17,18] = II RP (confidence=0.90)
  FalsePositive nam [6,9] = Batalion ON " Brzeżany (confidence=0.99) (incorrect boundry)
  FalseNegative nam [6,10] = Batalion ON " Brzeżany "

(ChunkerEvaluator) Sentence #104 from 00101238 from sent3

Text  : Batalion sformowany został w 1937 , w składzie Lwowskiej Brygady ON ,_ a_ wiosną 1939 przeformowany na etat batalionu ON typ I_ ._
Tokens: 1_______ 2_________ 3_____ 4 5___ 6 7 8_______ 9________ 10_____ 11 12 13 14____ 15__ 16___________ 17 18__ 19_______ 20 21_ 22 23

Chunks:
  TruePositive nam [9,11] = Lwowskiej Brygady ON (confidence=1.00)
  FalseNegative nam [19,20] = batalionu ON

(ChunkerEvaluator) Sentence #105 from 00101238 from sent4

Text  : Dowództwo batalionu i 1 kompania stacjonowały w w Brzeżanach ,_ 2_ kompanię rozlokowano w_ Rohatynie ,_ a_ 3_ kompanie w_ Podhajcach ._
Tokens: 1________ 2________ 3 4 5_______ 6___________ 7 8 9_________ 10 11 12______ 13_________ 14 15_______ 16 17 18 19______ 20 21________ 22

Chunks:
  TruePositive nam [9,9] = Brzeżanach (confidence=1.00)
  TruePositive nam [15,15] = Rohatynie (confidence=1.00)
  FalseNegative nam [21,21] = Podhajcach

(ChunkerEvaluator) Sentence #106 from 00101238 from sent5

Text  : Jednostką administracyjną i mobilizującą dla Brzeżańskiego Batalionu ON był 51 Pułk Piechoty Strzelców Kresowych w_ Brzeżanach ._
Tokens: 1________ 2______________ 3 4___________ 5__ 6____________ 7________ 8_ 9__ 10 11__ 12______ 13_______ 14_______ 15 16________ 17

Chunks:
  TruePositive nam [6,8] = Brzeżańskiego Batalionu ON (confidence=1.00)
  TruePositive nam [10,14] = 51 Pułk Piechoty Strzelców Kresowych (confidence=1.00)
  TruePositive nam [16,16] = Brzeżanach (confidence=1.00)

(ChunkerEvaluator) Sentence #107 from 00101238 from sent6

Text  : Prawdopodobnie po ogloszeniu mobilizacji powszechnej batalion włączony został w skład nowo utworzonej Tarnopolskiej Półbrygady ON ._
Tokens: 1_____________ 2_ 3_________ 4__________ 5__________ 6_______ 7_______ 8_____ 9 10___ 11__ 12________ 13___________ 14________ 15 16

Chunks:
  TruePositive nam [13,15] = Tarnopolskiej Półbrygady ON (confidence=0.99)

2017-06-14 20:13:31,964 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 9 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101244.xml
(ChunkerEvaluator) Sentence #108 from 00101244 from sent1

Text  : Druk termotransferowy
Tokens: 1___ 2_______________

Chunks:

(ChunkerEvaluator) Sentence #109 from 00101244 from sent2

Text  : Druk termotransferowy polega na uzyskiwaniu obrazu na etykiecie poprzez podgrzewanie pigmentu zawartego w_ taśmie termotransferowej (_ odpowiednik taśmy barwiącej )_ ._
Tokens: 1___ 2_______________ 3_____ 4_ 5__________ 6_____ 7_ 8________ 9______ 10__________ 11______ 12_______ 13 14____ 15_______________ 16 17_________ 18___ 19_______ 20 21

Chunks:

(ChunkerEvaluator) Sentence #110 from 00101244 from sent3

Text  : Taśma termotransferowa przesuwa się wraz z taśmą z etykietami ,_ a_ rozgrzana głowica drukarki termotransferowej uwalnia substancję barwiącą z_ taśmy termotransferowej i_ dzięki dociskowi przenosi ją na powierzchnię etykiety ._
Tokens: 1____ 2_______________ 3_______ 4__ 5___ 6 7____ 8 9_________ 10 11 12_______ 13_____ 14______ 15_______________ 16_____ 17________ 18______ 19 20___ 21_______________ 22 23____ 24_______ 25______ 26 27 28__________ 29______ 30

Chunks:

(ChunkerEvaluator) Sentence #111 from 00101244 from sent4

Text  : Za pomocą tej techniki można dokonywać druku na różnych rodzajach podłoży ._
Tokens: 1_ 2_____ 3__ 4_______ 5____ 6________ 7____ 8_ 9______ 10_______ 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #112 from 00101244 from sent5

Text  : Druk termotransferowy cechuje wysoka trwałość .
Tokens: 1___ 2_______________ 3______ 4_____ 5_______ 6

Chunks:

(ChunkerEvaluator) Sentence #113 from 00101244 from sent6

Text  : Stosowane metody druku termotransferowego :
Tokens: 1________ 2_____ 3____ 4_________________ 5

Chunks:

(ChunkerEvaluator) Sentence #114 from 00101244 from sent7

Text  : transfer wosku
Tokens: 1_______ 2____

Chunks:

(ChunkerEvaluator) Sentence #115 from 00101244 from sent8

Text  : dyfuzja barwnika
Tokens: 1______ 2_______

Chunks:

2017-06-14 20:13:31,986 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 10 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101266.xml
(ChunkerEvaluator) Sentence #116 from 00101266 from sent1

Text  : Taraska
Tokens: 1______

Chunks:
  TruePositive nam [1,1] = Taraska (confidence=0.98)

(ChunkerEvaluator) Sentence #117 from 00101266 from sent2

Text  : Taraska – wieś w Polsce położona w województwie łódzkim ,_ w_ powiecie piotrkowskim ,_ w_ gminie Aleksandrów ._
Tokens: 1______ 2 3___ 4 5_____ 6_______ 7 8___________ 9______ 10 11 12______ 13__________ 14 15 16____ 17_________ 18

Chunks:
  TruePositive nam [1,1] = Taraska (confidence=1.00)
  TruePositive nam [5,5] = Polsce (confidence=1.00)
  TruePositive nam [9,9] = łódzkim (confidence=1.00)
  TruePositive nam [13,13] = piotrkowskim (confidence=0.99)
  TruePositive nam [17,17] = Aleksandrów (confidence=1.00)

(ChunkerEvaluator) Sentence #118 from 00101266 from sent3

Text  : Wieś znajduje się w granicach Sulejowskiego Parku Krajobrazowego .
Tokens: 1___ 2_______ 3__ 4 5________ 6____________ 7____ 8_____________ 9

Chunks:
  TruePositive nam [6,8] = Sulejowskiego Parku Krajobrazowego (confidence=1.00)

(ChunkerEvaluator) Sentence #119 from 00101266 from sent4

Text  : W latach 1975 - 1998 miejscowość administracyjnie należała do województwa piotrkowskiego ._
Tokens: 1 2_____ 3___ 4 5___ 6__________ 7_______________ 8_______ 9_ 10_________ 11____________ 12

Chunks:
  TruePositive nam [11,11] = piotrkowskiego (confidence=0.98)

(ChunkerEvaluator) Sentence #120 from 00101266 from sent5

Text  : Wieś podzielona jest na dwie części : Taraska Góry i_ Taraska Niwy ._
Tokens: 1___ 2_________ 3___ 4_ 5___ 6_____ 7 8______ 9___ 10 11_____ 12__ 13

Chunks:
  TruePositive nam [8,9] = Taraska Góry (confidence=1.00)
  TruePositive nam [11,12] = Taraska Niwy (confidence=1.00)

(ChunkerEvaluator) Sentence #121 from 00101266 from sent6

Text  : W latach 70 . i 80 . znajdowały się tam dwa ośrodki kolonijne ,_ później na bazie jednego z_ nich powstał Dom Dziecka ._
Tokens: 1 2_____ 3_ 4 5 6_ 7 8_________ 9__ 10_ 11_ 12_____ 13_______ 14 15_____ 16 17___ 18_____ 19 20__ 21_____ 22_ 23_____ 24

Chunks:
  FalsePositive nam [22,23] = Dom Dziecka (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #122 from 00101266 from sent7

Text  : Pod koniec lat 80 . miejscowość dwukrotnie była bazą Ogólnopolskiego Nocnego Rajdu Mazowieckiego -_ pieszej imprezy turystycznej ,_ organizowanej przez jedno z_ kół mokotowskiego oddziału PTTK ._
Tokens: 1__ 2_____ 3__ 4_ 5 6__________ 7_________ 8___ 9___ 10_____________ 11_____ 12___ 13___________ 14 15_____ 16_____ 17__________ 18 19___________ 20___ 21___ 22 23_ 24___________ 25______ 26__ 27

Chunks:
  TruePositive nam [10,13] = Ogólnopolskiego Nocnego Rajdu Mazowieckiego (confidence=1.00)
  TruePositive nam [26,26] = PTTK (confidence=0.99)

(ChunkerEvaluator) Sentence #123 from 00101266 from sent8

Text  : W Tarasce Niwy znalazła siedzibę leśniczówka .
Tokens: 1 2______ 3___ 4_______ 5_______ 6__________ 7

Chunks:
  TruePositive nam [2,3] = Tarasce Niwy (confidence=1.00)

(ChunkerEvaluator) Sentence #124 from 00101266 from sent9

Text  : Przez wieś przebiega pieszy Szlak Rekreacyjny Rzeki Pilicy .
Tokens: 1____ 2___ 3________ 4_____ 5____ 6__________ 7____ 8_____ 9

Chunks:
  TruePositive nam [5,8] = Szlak Rekreacyjny Rzeki Pilicy (confidence=1.00)

2017-06-14 20:13:32,019 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 11 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101271.xml
(ChunkerEvaluator) Sentence #125 from 00101271 from sent1

Text  : Szóstka ( województwo lubelskie )
Tokens: 1______ 2 3__________ 4________ 5

Chunks:
  TruePositive nam [1,1] = Szóstka (confidence=0.85)
  TruePositive nam [4,4] = lubelskie (confidence=0.99)

(ChunkerEvaluator) Sentence #126 from 00101271 from sent2

Text  : Szóstka – wieś w Polsce położona w województwie lubelskim ,_ w_ powiecie bialskim ,_ w_ gminie Drelów ._
Tokens: 1______ 2 3___ 4 5_____ 6_______ 7 8___________ 9________ 10 11 12______ 13______ 14 15 16____ 17____ 18

Chunks:
  TruePositive nam [1,1] = Szóstka (confidence=0.97)
  TruePositive nam [5,5] = Polsce (confidence=1.00)
  TruePositive nam [9,9] = lubelskim (confidence=1.00)
  TruePositive nam [13,13] = bialskim (confidence=0.99)
  TruePositive nam [17,17] = Drelów (confidence=1.00)

(ChunkerEvaluator) Sentence #127 from 00101271 from sent3

Text  : Do 1954 roku istniała gmina Szóstka .
Tokens: 1_ 2___ 3___ 4_______ 5____ 6______ 7

Chunks:
  TruePositive nam [6,6] = Szóstka (confidence=1.00)

(ChunkerEvaluator) Sentence #128 from 00101271 from sent4

Text  : W latach 1975 - 1998 miejscowość administracyjnie należała do województwa bialskopodlaskiego ._
Tokens: 1 2_____ 3___ 4 5___ 6__________ 7_______________ 8_______ 9_ 10_________ 11________________ 12

Chunks:
  TruePositive nam [11,11] = bialskopodlaskiego (confidence=0.99)

2017-06-14 20:13:32,031 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 12 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101307.xml
(ChunkerEvaluator) Sentence #129 from 00101307 from sent1

Text  : Ive Jerolimov
Tokens: 1__ 2________

Chunks:
  TruePositive nam [1,2] = Ive Jerolimov (confidence=1.00)

(ChunkerEvaluator) Sentence #130 from 00101307 from sent2

Text  : Ive Jerolimov ( ur . 30 sierpnia 1958 w Preko koło Zadaru )_ -_ były piłkarz chorwacki grający na pozycji obrońcy ._
Tokens: 1__ 2________ 3 4_ 5 6_ 7_______ 8___ 9 10___ 11__ 12____ 13 14 15__ 16_____ 17_______ 18_____ 19 20_____ 21_____ 22

Chunks:
  TruePositive nam [1,2] = Ive Jerolimov (confidence=1.00)
  TruePositive nam [10,10] = Preko (confidence=0.85)
  TruePositive nam [12,12] = Zadaru (confidence=0.64)

(ChunkerEvaluator) Sentence #131 from 00101307 from sent3

Text  : Kariera klubowa
Tokens: 1______ 2______

Chunks:

(ChunkerEvaluator) Sentence #132 from 00101307 from sent4

Text  : Karierę piłkarską Jerolimov rozpoczął w klubie NK Rijeka .
Tokens: 1______ 2________ 3________ 4________ 5 6_____ 7_ 8_____ 9

Chunks:
  TruePositive nam [3,3] = Jerolimov (confidence=0.99)
  TruePositive nam [7,8] = NK Rijeka (confidence=1.00)

(ChunkerEvaluator) Sentence #133 from 00101307 from sent5

Text  : W sezonie 1978 / 1979 zadebiutował w jego barwach w_ pierwszej lidze jugosłowiańskiej ._
Tokens: 1 2______ 3___ 4 5___ 6___________ 7 8___ 9______ 10 11_______ 12___ 13______________ 14

Chunks:

(ChunkerEvaluator) Sentence #134 from 00101307 from sent6

Text  : W 1979 roku zdobył z Rijeką Puchar Jugosławii ( 2_ :_ 1_ ,_ 0_ :_ 0_ w_ finale z_ Partizanem Belgrad )_ ._
Tokens: 1 2___ 3___ 4_____ 5 6_____ 7_____ 8_________ 9 10 11 12 13 14 15 16 17 18____ 19 20________ 21_____ 22 23

Chunks:
  TruePositive nam [20,21] = Partizanem Belgrad (confidence=1.00)
  FalsePositive nam [6,8] = Rijeką Puchar Jugosławii (confidence=1.00) (incorrect boundry)
  FalseNegative nam [6,6] = Rijeką
  FalseNegative nam [7,8] = Puchar Jugosławii

(ChunkerEvaluator) Sentence #135 from 00101307 from sent7

Text  : Przez 4 lata był podstawowm zawodnikiem Rijeki i rozegrał w_ niej 106 meczów ,_ w_ których strzelił 7_ goli ._
Tokens: 1____ 2 3___ 4__ 5_________ 6__________ 7_____ 8 9_______ 10 11__ 12_ 13____ 14 15 16_____ 17______ 18 19__ 20

Chunks:
  TruePositive nam [7,7] = Rijeki (confidence=1.00)

(ChunkerEvaluator) Sentence #136 from 00101307 from sent8

Text  : Latem 1982 roku Jerolimov przeszedł do Hajduka Split .
Tokens: 1____ 2___ 3___ 4________ 5________ 6_ 7______ 8____ 9

Chunks:
  TruePositive nam [4,4] = Jerolimov (confidence=1.00)
  TruePositive nam [7,8] = Hajduka Split (confidence=1.00)

(ChunkerEvaluator) Sentence #137 from 00101307 from sent9

Text  : Tam spędził 5 lat , a największe sukcesy osiągnął w_ latach 1984 i_ 1987 ,_ gdy wygrał Puchar Jugosławii (_ odpowiednio 2_ :_ 1_ i_ 0_ :_ 0_ w_ finale ze Crveną Zvezdą Belgrad oraz 1_ :_ 1_ ,_ k_ ._ 9_ :_ 8_ z_ NK Rijeka )_ ._
Tokens: 1__ 2______ 3 4__ 5 6 7_________ 8______ 9_______ 10 11____ 12__ 13 14__ 15 16_ 17____ 18____ 19________ 20 21_________ 22 23 24 25 26 27 28 29 30____ 31 32____ 33____ 34_____ 35__ 36 37 38 39 40 41 42 43 44 45 46 47____ 48 49

Chunks:
  TruePositive nam [18,19] = Puchar Jugosławii (confidence=1.00)
  TruePositive nam [32,34] = Crveną Zvezdą Belgrad (confidence=0.99)
  TruePositive nam [46,47] = NK Rijeka (confidence=1.00)

(ChunkerEvaluator) Sentence #138 from 00101307 from sent10

Text  : W Hajduku zagrał 69 razy i 12 razy zdobywał gola ._
Tokens: 1 2______ 3_____ 4_ 5___ 6 7_ 8___ 9_______ 10__ 11

Chunks:
  TruePositive nam [2,2] = Hajduku (confidence=1.00)

(ChunkerEvaluator) Sentence #139 from 00101307 from sent11

Text  : W 1987 roku Jerolimov wyjechał do belgijskiego Cercle Brugge ._
Tokens: 1 2___ 3___ 4________ 5_______ 6_ 7___________ 8_____ 9_____ 10

Chunks:
  TruePositive nam [4,4] = Jerolimov (confidence=1.00)
  TruePositive nam [8,9] = Cercle Brugge (confidence=1.00)

(ChunkerEvaluator) Sentence #140 from 00101307 from sent12

Text  : W lidze belgijskiej grał przez dwa lata i w 1989 roku w_ wieku 31 lat zakończył karierę piłkarską ._
Tokens: 1 2____ 3__________ 4___ 5____ 6__ 7___ 8 9 10__ 11__ 12 13___ 14 15_ 16_______ 17_____ 18_______ 19

Chunks:

(ChunkerEvaluator) Sentence #141 from 00101307 from sent13

Text  : Kariera reprezentacyjna
Tokens: 1______ 2______________

Chunks:

(ChunkerEvaluator) Sentence #142 from 00101307 from sent14

Text  : W reprezentacji Jugosławii Jerolimov zadebiutował 27 września 1980 roku w_ wygranym 2_ :_ 1_ meczu eliminacji do Mistrzostw Świata w_ Hiszpanii z_ Danią ._
Tokens: 1 2____________ 3_________ 4________ 5___________ 6_ 7_______ 8___ 9___ 10 11______ 12 13 14 15___ 16________ 17 18________ 19____ 20 21_______ 22 23___ 24

Chunks:
  TruePositive nam [18,19] = Mistrzostw Świata (confidence=0.99)
  TruePositive nam [21,21] = Hiszpanii (confidence=0.96)
  TruePositive nam [23,23] = Danią (confidence=1.00)
  FalsePositive nam [3,4] = Jugosławii Jerolimov (confidence=0.99) (incorrect boundry)
  FalseNegative nam [3,3] = Jugosławii
  FalseNegative nam [4,4] = Jerolimov

(ChunkerEvaluator) Sentence #143 from 00101307 from sent15

Text  : W 1982 roku został powołany przez selekcjonera Miljana Miljanicia do kadry na ten turniej ._
Tokens: 1 2___ 3___ 4_____ 5_______ 6____ 7___________ 8______ 9_________ 10 11___ 12 13_ 14_____ 15

Chunks:
  TruePositive nam [8,9] = Miljana Miljanicia (confidence=0.99)

(ChunkerEvaluator) Sentence #144 from 00101307 from sent16

Text  : Tam był rezerwowym i nie rozegrał żadnego spotkania .
Tokens: 1__ 2__ 3_________ 4 5__ 6_______ 7______ 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #145 from 00101307 from sent17

Text  : Od 1980 do 1982 roku rozegrał w kadrze narodowej 6_ meczów ._
Tokens: 1_ 2___ 3_ 4___ 5___ 6_______ 7 8_____ 9________ 10 11____ 12

Chunks:

2017-06-14 20:13:32,096 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 13 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101323.xml
(ChunkerEvaluator) Sentence #146 from 00101323 from sent1

Text  : Probostwo Dolne
Tokens: 1________ 2____

Chunks:
  TruePositive nam [1,2] = Probostwo Dolne (confidence=0.99)

(ChunkerEvaluator) Sentence #147 from 00101323 from sent2

Text  : Probostwo Dolne – miejscowość w Polsce położona w województwie kujawsko -_ pomorskim ,_ w_ powiecie włocławskim ,_ w_ gminie Lubanie ._
Tokens: 1________ 2____ 3 4__________ 5 6_____ 7_______ 8 9___________ 10______ 11 12_______ 13 14 15______ 16_________ 17 18 19____ 20_____ 21

Chunks:
  TruePositive nam [1,2] = Probostwo Dolne (confidence=1.00)
  TruePositive nam [6,6] = Polsce (confidence=1.00)
  TruePositive nam [10,12] = kujawsko - pomorskim (confidence=0.95)
  TruePositive nam [16,16] = włocławskim (confidence=1.00)
  TruePositive nam [20,20] = Lubanie (confidence=1.00)

(ChunkerEvaluator) Sentence #148 from 00101323 from sent3

Text  : Ziemie tej miejscowości należały w latach 1918 - 1939 do Koscioła ._
Tokens: 1_____ 2__ 3___________ 4_______ 5 6_____ 7___ 8 9___ 10 11______ 12

Chunks:
  TruePositive nam [11,11] = Koscioła (confidence=0.62)

(ChunkerEvaluator) Sentence #149 from 00101323 from sent4

Text  : W końcu ziemie zostały wykupione od i została utworzona miejscowość Probostwo Dolne ._
Tokens: 1 2____ 3_____ 4______ 5________ 6_ 7 8______ 9________ 10_________ 11_______ 12___ 13

Chunks:
  TruePositive nam [11,12] = Probostwo Dolne (confidence=1.00)

(ChunkerEvaluator) Sentence #150 from 00101323 from sent5

Text  : " Probostwo " dlatego , że ziemie należały do proboszcza parafii ,_ natomiast "_ Dolne "_ dlatego ,_ że ziemie te znajdują się po drugiej stronie torów kolejowych i_ leżą nieco niżej niż gminy Lubanie (_ ~_ 20m )_ ._
Tokens: 1 2________ 3 4______ 5 6_ 7_____ 8_______ 9_ 10________ 11_____ 12 13_______ 14 15___ 16 17_____ 18 19 20____ 21 22______ 23_ 24 25_____ 26_____ 27___ 28________ 29 30__ 31___ 32___ 33_ 34___ 35_____ 36 37 38_ 39 40

Chunks:
  TruePositive nam [35,35] = Lubanie (confidence=1.00)
  FalsePositive nam [15,15] = Dolne (confidence=0.64) (incorrect boundry)

(ChunkerEvaluator) Sentence #151 from 00101323 from sent6

Text  : Na ziemiach które leżą powyżej gminy , została utworzona miejscowość Probostwo Górne ._
Tokens: 1_ 2_______ 3____ 4___ 5______ 6____ 7 8______ 9________ 10_________ 11_______ 12___ 13

Chunks:
  TruePositive nam [11,12] = Probostwo Górne (confidence=1.00)

(ChunkerEvaluator) Sentence #152 from 00101323 from sent7

Text  : W latach 1975 - 1998 miejscowość administracyjnie należała do województwa włocławskiego ._
Tokens: 1 2_____ 3___ 4 5___ 6__________ 7_______________ 8_______ 9_ 10_________ 11___________ 12

Chunks:
  TruePositive nam [11,11] = włocławskiego (confidence=0.99)

2017-06-14 20:13:32,126 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 14 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101343.xml
(ChunkerEvaluator) Sentence #153 from 00101343 from sent1

Text  : Jakub Haur
Tokens: 1____ 2___

Chunks:
  TruePositive nam [1,2] = Jakub Haur (confidence=1.00)

(ChunkerEvaluator) Sentence #154 from 00101343 from sent2

Text  : Jakub Kazimierz Haur ( ur . 1632 , zm ._ 1709 )_ -_ polski ekonomista ,_ autor książek i_ traktatów o_ tematyce rolniczej i_ poradnikowej ._
Tokens: 1____ 2________ 3___ 4 5_ 6 7___ 8 9_ 10 11__ 12 13 14____ 15________ 16 17___ 18_____ 19 20_______ 21 22______ 23_______ 24 25__________ 26

Chunks:
  TruePositive nam [1,3] = Jakub Kazimierz Haur (confidence=1.00)

(ChunkerEvaluator) Sentence #155 from 00101343 from sent3

Text  : Jakub Kazimierz Haur urodził się w roku 1632 w mieszczańskiej rodzinie ._
Tokens: 1____ 2________ 3___ 4______ 5__ 6 7___ 8___ 9 10____________ 11______ 12

Chunks:
  TruePositive nam [1,3] = Jakub Kazimierz Haur (confidence=1.00)

(ChunkerEvaluator) Sentence #156 from 00101343 from sent4

Text  : Był synem warszawskiego ławnika , Jakuba Haura , i pochodzącej z_ Grazu Anny Marii z_ domu Petardówny ,_ dwórki królowej Konstancji ,_ żony Zygmunta III Wazy ._
Tokens: 1__ 2____ 3____________ 4______ 5 6_____ 7____ 8 9 10_________ 11 12___ 13__ 14___ 15 16__ 17________ 18 19____ 20______ 21________ 22 23__ 24______ 25_ 26__ 27

Chunks:
  TruePositive nam [6,7] = Jakuba Haura (confidence=1.00)
  TruePositive nam [21,21] = Konstancji (confidence=0.95)
  TruePositive nam [24,26] = Zygmunta III Wazy (confidence=1.00)
  FalsePositive nam [12,17] = Grazu Anny Marii z domu Petardówny (confidence=1.00) (incorrect boundry)
  FalseNegative nam [12,12] = Grazu
  FalseNegative nam [13,17] = Anny Marii z domu Petardówny

(ChunkerEvaluator) Sentence #157 from 00101343 from sent5

Text  : Studia odbywał w Akademii Krakowskiej , w owym czasie wciąż jedynej uczelni wyższej w_ Polsce ._
Tokens: 1_____ 2______ 3 4_______ 5__________ 6 7 8___ 9_____ 10___ 11_____ 12_____ 13_____ 14 15____ 16

Chunks:
  TruePositive nam [4,5] = Akademii Krakowskiej (confidence=1.00)
  TruePositive nam [15,15] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #158 from 00101343 from sent6

Text  : Lata 50 . to okres ożywionych kontaktów z bogatymi mieszczańskimi rodzinami z_ Warszawy i_ Lwowa ,_ głównie dzięki pokrewieństwu z_ bogatą rodziną Dzianottich (_ u_ których był w_ służbie w_ roku 1658 )_ i_ Gibbonich oraz koneksjom rodzinnym (_ przez siostrę Weronikę )_ z_ lwowskim mieszczaninem Stanisławem Kralem ._
Tokens: 1___ 2_ 3 4_ 5____ 6_________ 7________ 8 9_______ 10____________ 11_______ 12 13______ 14 15___ 16 17_____ 18____ 19___________ 20 21____ 22_____ 23_________ 24 25 26_____ 27_ 28 29_____ 30 31__ 32__ 33 34 35_______ 36__ 37_______ 38_______ 39 40___ 41_____ 42______ 43 44 45______ 46___________ 47_________ 48____ 49

Chunks:
  TruePositive nam [13,13] = Warszawy (confidence=1.00)
  TruePositive nam [15,15] = Lwowa (confidence=1.00)
  TruePositive nam [23,23] = Dzianottich (confidence=0.96)
  TruePositive nam [35,35] = Gibbonich (confidence=0.99)
  TruePositive nam [42,42] = Weronikę (confidence=0.99)
  TruePositive nam [47,48] = Stanisławem Kralem (confidence=1.00)

(ChunkerEvaluator) Sentence #159 from 00101343 from sent7

Text  : Później Haur był w służbie u lwowskiej rodziny Morykonich ._
Tokens: 1______ 2___ 3__ 4 5______ 6 7________ 8______ 9_________ 10

Chunks:
  TruePositive nam [2,2] = Haur (confidence=0.98)
  TruePositive nam [9,9] = Morykonich (confidence=0.94)

(ChunkerEvaluator) Sentence #160 from 00101343 from sent8

Text  : Lata 60 .
Tokens: 1___ 2_ 3

Chunks:

(ChunkerEvaluator) Sentence #161 from 00101343 from sent9

Text  : Haur najprawdopodobniej spędził w podróży po Europie .
Tokens: 1___ 2_________________ 3______ 4 5______ 6_ 7______ 8

Chunks:
  TruePositive nam [1,1] = Haur (confidence=0.72)
  TruePositive nam [7,7] = Europie (confidence=1.00)

(ChunkerEvaluator) Sentence #162 from 00101343 from sent10

Text  : Ze wzmianek w jego dziełach dowiedzieć się można , że na pewno odwiedził Włochy ,_ Niemcy ,_ Holandię i_ Anglię ._
Tokens: 1_ 2_______ 3 4___ 5_______ 6_________ 7__ 8____ 9 10 11 12___ 13_______ 14____ 15 16____ 17 18______ 19 20____ 21

Chunks:
  TruePositive nam [14,14] = Włochy (confidence=1.00)
  TruePositive nam [16,16] = Niemcy (confidence=1.00)
  TruePositive nam [18,18] = Holandię (confidence=1.00)
  TruePositive nam [20,20] = Anglię (confidence=0.96)

(ChunkerEvaluator) Sentence #163 from 00101343 from sent11

Text  : Doświadczenie zebrane w czasie tych podróży z pewnością znacznie wpłynęło na zawartość Haurowych kompendiów ._
Tokens: 1____________ 2______ 3 4_____ 5___ 6______ 7 8________ 9_______ 10______ 11 12_______ 13_______ 14________ 15

Chunks:

(ChunkerEvaluator) Sentence #164 from 00101343 from sent12

Text  : W latach 70 .
Tokens: 1 2_____ 3_ 4

Chunks:

(ChunkerEvaluator) Sentence #165 from 00101343 from sent13

Text  : Jakub Kazimierz Haur był superintendentem i pisarzem Stanisława Skarszowskiego ,_ dworzanina królewskiego ,_ starosty ,_ podstolego i_ bogatego posiadacza ziemskiego –_ pozwoliło mu to zapoznać się z_ gospodarką latyfundium i_ ułatwiło pracę w_ przygotowaniach do napisania traktatu agronomicznego -_ "_ Ekonomiki "_ ,_ który ,_ dedykowany Skarszowskiemu ,_ ukazał się w_ 1675 roku ._
Tokens: 1____ 2________ 3___ 4__ 5_______________ 6 7_______ 8_________ 9_____________ 10 11________ 12__________ 13 14______ 15 16________ 17 18______ 19________ 20________ 21 22_______ 23 24 25______ 26_ 27 28________ 29_________ 30 31______ 32___ 33 34_____________ 35 36_______ 37______ 38____________ 39 40 41_______ 42 43 44___ 45 46________ 47____________ 48 49____ 50_ 51 52__ 53__ 54

Chunks:
  TruePositive nam [1,3] = Jakub Kazimierz Haur (confidence=1.00)
  TruePositive nam [8,9] = Stanisława Skarszowskiego (confidence=1.00)
  TruePositive nam [47,47] = Skarszowskiemu (confidence=0.99)
  FalseNegative nam [41,41] = Ekonomiki

(ChunkerEvaluator) Sentence #166 from 00101343 from sent14

Text  : 16 marca 1676 uzyskał od Jana III Sobieskiego przywilej potwierdzający jego prawa autorskie do "_ Ekonomiki "_ ._
Tokens: 1_ 2____ 3___ 4______ 5_ 6___ 7__ 8__________ 9________ 10____________ 11__ 12___ 13_______ 14 15 16_______ 17 18

Chunks:
  TruePositive nam [6,8] = Jana III Sobieskiego (confidence=1.00)
  TruePositive nam [16,16] = Ekonomiki (confidence=0.88)

(ChunkerEvaluator) Sentence #167 from 00101343 from sent15

Text  : Trzy lata później wydał " Generalną oekonomikę " , zadedykowaną Andrzejowi Morsztynowi ,_ którego dobrami wówczas zarządzał ._
Tokens: 1___ 2___ 3______ 4____ 5 6________ 7_________ 8 9 10__________ 11________ 12_________ 13 14_____ 15_____ 16_____ 17_______ 18

Chunks:
  TruePositive nam [6,7] = Generalną oekonomikę (confidence=0.84)
  TruePositive nam [11,12] = Andrzejowi Morsztynowi (confidence=1.00)

(ChunkerEvaluator) Sentence #168 from 00101343 from sent16

Text  : Po zakończeniu służby u Morsztyna , Haur przez kilkanaście kolejnych lat sam prowadził gospodarkę w_ dzierżawionej przez siebie podkrakowskiej wsi Chorowice ._
Tokens: 1_ 2__________ 3_____ 4 5________ 6 7___ 8____ 9__________ 10_______ 11_ 12_ 13_______ 14________ 15 16___________ 17___ 18____ 19____________ 20_ 21_______ 22

Chunks:
  TruePositive nam [5,5] = Morsztyna (confidence=1.00)
  TruePositive nam [7,7] = Haur (confidence=1.00)
  TruePositive nam [21,21] = Chorowice (confidence=1.00)

(ChunkerEvaluator) Sentence #169 from 00101343 from sent17

Text  : Od roku 1670 życie jego nierozerwalnie związane było z Krakowem ,_ zapewne także i_ dlatego ,_ że jego pierwsza żona ,_ Agnieszka Furmankiewiczówna ,_ wniosła mu w_ wianie kamienicę przy ulicy Floriańskiej ._
Tokens: 1_ 2___ 3___ 4____ 5___ 6_____________ 7_______ 8___ 9 10______ 11 12_____ 13___ 14 15_____ 16 17 18__ 19______ 20__ 21 22_______ 23_______________ 24 25_____ 26 27 28____ 29_______ 30__ 31___ 32__________ 33

Chunks:
  TruePositive nam [10,10] = Krakowem (confidence=0.99)
  TruePositive nam [22,23] = Agnieszka Furmankiewiczówna (confidence=1.00)
  TruePositive nam [32,32] = Floriańskiej (confidence=0.99)

(ChunkerEvaluator) Sentence #170 from 00101343 from sent18

Text  : Haur utrzymywał kontakty z profesorami Akademii Krakowskiej – Marcinem Winklerem i_ Wojciechem Kazimierzem Rezlerem ,_ prowadził też liczne interesy oraz pełnił funkcję komisarza do spraw rachunków skarbowych ,_ posiadając równocześnie tytuł sekretarza królewskiego ._
Tokens: 1___ 2_________ 3_______ 4 5__________ 6_______ 7__________ 8 9_______ 10_______ 11 12________ 13_________ 14______ 15 16_______ 17_ 18____ 19______ 20__ 21____ 22_____ 23_______ 24 25___ 26_______ 27________ 28 29________ 30__________ 31___ 32________ 33__________ 34

Chunks:
  TruePositive nam [6,7] = Akademii Krakowskiej (confidence=1.00)
  TruePositive nam [9,10] = Marcinem Winklerem (confidence=1.00)
  TruePositive nam [12,14] = Wojciechem Kazimierzem Rezlerem (confidence=1.00)
  FalseNegative nam [1,1] = Haur

(ChunkerEvaluator) Sentence #171 from 00101343 from sent19

Text  : W roku 1689 Haur wydał drukiem " Skład abo skarbiec znakomitych sekretów oekonomiej ziemiańskiej "_ ,_ zadedykowany Janowi III Sobieskiemu ,_ który wysoko cenił sobie jego literaturę ._
Tokens: 1 2___ 3___ 4___ 5____ 6______ 7 8____ 9__ 10______ 11_________ 12______ 13________ 14__________ 15 16 17__________ 18____ 19_ 20_________ 21 22___ 23____ 24___ 25___ 26__ 27________ 28

Chunks:
  TruePositive nam [4,4] = Haur (confidence=0.95)
  TruePositive nam [18,20] = Janowi III Sobieskiemu (confidence=1.00)
  FalsePositive nam [8,8] = Skład (confidence=0.90) (incorrect boundry)
  FalseNegative nam [8,14] = Skład abo skarbiec znakomitych sekretów oekonomiej ziemiańskiej

(ChunkerEvaluator) Sentence #172 from 00101343 from sent20

Text  : Była to encyklopedia ziemiańska , która obejmowała tematykę agrarną ,_ życia codziennego ,_ zwierzęcą ,_ a_ także obyczajową ,_ przeplatana różnymi dykteryjkami ,_ anegdotami i_ kuriozami ,_ tworząc tym samym typowe dzieło doby Polski sarmackiej ._
Tokens: 1___ 2_ 3___________ 4_________ 5 6____ 7_________ 8_______ 9______ 10 11___ 12_________ 13 14_______ 15 16 17___ 18________ 19 20_________ 21_____ 22__________ 23 24________ 25 26_______ 27 28_____ 29_ 30___ 31____ 32____ 33__ 34____ 35________ 36

Chunks:
  FalsePositive nam [34,35] = Polski sarmackiej (confidence=0.99) (incorrect boundry)
  FalseNegative nam [34,34] = Polski

(ChunkerEvaluator) Sentence #173 from 00101343 from sent21

Text  : W roku 1707 ożenił się po raz drugi – jego wybranką została Izabella Konstancja Bielska ._
Tokens: 1 2___ 3___ 4_____ 5__ 6_ 7__ 8____ 9 10__ 11______ 12_____ 13______ 14________ 15_____ 16

Chunks:
  TruePositive nam [13,15] = Izabella Konstancja Bielska (confidence=1.00)

(ChunkerEvaluator) Sentence #174 from 00101343 from sent22

Text  : W tym samym czasie pracował już nad kolejną książką –_ pisaną wierszem encyklopedią zatytułowaną "_ Mercurius polski z_ dobremi nowinami ,_ wierszem opisany "_ ,_ zawierającą wiele informacji autobiograficznych o_ autorze ._
Tokens: 1 2__ 3____ 4_____ 5_______ 6__ 7__ 8______ 9______ 10 11____ 12______ 13__________ 14__________ 15 16_______ 17____ 18 19_____ 20______ 21 22______ 23_____ 24 25 26_________ 27___ 28________ 29________________ 30 31_____ 32

Chunks:
  FalsePositive nam [16,20] = Mercurius polski z dobremi nowinami (confidence=1.00) (incorrect boundry)
  FalseNegative nam [16,23] = Mercurius polski z dobremi nowinami , wierszem opisany

(ChunkerEvaluator) Sentence #175 from 00101343 from sent23

Text  : Nie udało się już Haurowi opublikować tego dzieła ze względu na śmierć w_ roku 1709 ._
Tokens: 1__ 2____ 3__ 4__ 5______ 6__________ 7___ 8_____ 9_ 10_____ 11 12____ 13 14__ 15__ 16

Chunks:
  TruePositive nam [5,5] = Haurowi (confidence=1.00)

2017-06-14 20:13:32,256 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 15 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101354.xml
(ChunkerEvaluator) Sentence #176 from 00101354 from sent1

Text  : Robert Witka
Tokens: 1_____ 2____

Chunks:
  TruePositive nam [1,2] = Robert Witka (confidence=1.00)

(ChunkerEvaluator) Sentence #177 from 00101354 from sent2

Text  : Robert Witka
Tokens: 1_____ 2____

Chunks:
  TruePositive nam [1,2] = Robert Witka (confidence=1.00)

(ChunkerEvaluator) Sentence #178 from 00101354 from sent3

Text  : Robert Witka ( ur . 27 lipca 1981 roku w_ Przasnyszu )_ -_ koszykarz ,_ zawodnik Asseco Prokomu Gdynia ._
Tokens: 1_____ 2____ 3 4_ 5 6_ 7____ 8___ 9___ 10 11________ 12 13 14_______ 15 16______ 17____ 18_____ 19____ 20

Chunks:
  TruePositive nam [1,2] = Robert Witka (confidence=1.00)
  TruePositive nam [11,11] = Przasnyszu (confidence=1.00)
  TruePositive nam [17,19] = Asseco Prokomu Gdynia (confidence=1.00)

(ChunkerEvaluator) Sentence #179 from 00101354 from sent4

Text  : Reprezentant Polski - uczestnik mistrzostw Europy w 2007 i 2009 roku ._
Tokens: 1___________ 2_____ 3 4________ 5_________ 6_____ 7 8___ 9 10__ 11__ 12

Chunks:
  TruePositive nam [2,2] = Polski (confidence=0.79)
  FalsePositive nam [6,6] = Europy (confidence=1.00) (incorrect boundry)
  FalseNegative nam [5,6] = mistrzostw Europy

(ChunkerEvaluator) Sentence #180 from 00101354 from sent5

Text  : Biografia
Tokens: 1________

Chunks:

(ChunkerEvaluator) Sentence #181 from 00101354 from sent6

Text  : Robert Witka większość swojej kariery spędził w Anwilu Włocławek ,_ którego jest wychowankiem ._
Tokens: 1_____ 2____ 3________ 4_____ 5______ 6______ 7 8_____ 9________ 10 11_____ 12__ 13__________ 14

Chunks:
  TruePositive nam [1,2] = Robert Witka (confidence=1.00)
  TruePositive nam [8,9] = Anwilu Włocławek (confidence=1.00)

(ChunkerEvaluator) Sentence #182 from 00101354 from sent7

Text  : W tym zespole grał w latach 1997 - 2000 ,_ a_ także 2001 -_ 2006 ._
Tokens: 1 2__ 3______ 4___ 5 6_____ 7___ 8 9___ 10 11 12___ 13__ 14 15__ 16

Chunks:

(ChunkerEvaluator) Sentence #183 from 00101354 from sent8

Text  : Sezon 2000 / 2001 spędził w Zagłębiu Sosnowiec .
Tokens: 1____ 2___ 3 4___ 5______ 6 7_______ 8________ 9

Chunks:
  TruePositive nam [7,8] = Zagłębiu Sosnowiec (confidence=1.00)

(ChunkerEvaluator) Sentence #184 from 00101354 from sent9

Text  : Od 2006 roku występował w Turowie Zgorzelec .
Tokens: 1_ 2___ 3___ 4_________ 5 6______ 7________ 8

Chunks:
  TruePositive nam [6,7] = Turowie Zgorzelec (confidence=1.00)

(ChunkerEvaluator) Sentence #185 from 00101354 from sent10

Text  : 1 marca 2010 roku zwolniony z przygranicznego klubu .
Tokens: 1 2____ 3___ 4___ 5________ 6 7______________ 8____ 9

Chunks:

(ChunkerEvaluator) Sentence #186 from 00101354 from sent11

Text  : Przebieg kariery
Tokens: 1_______ 2______

Chunks:

(ChunkerEvaluator) Sentence #187 from 00101354 from sent12

Text  : 1997 - 2000 : Anwil Włocławek
Tokens: 1___ 2 3___ 4 5____ 6________

Chunks:
  TruePositive nam [5,6] = Anwil Włocławek (confidence=0.99)

(ChunkerEvaluator) Sentence #188 from 00101354 from sent13

Text  : 2000 - 2001 : Zagłębie Sosnowiec
Tokens: 1___ 2 3___ 4 5_______ 6________

Chunks:
  TruePositive nam [5,6] = Zagłębie Sosnowiec (confidence=0.73)

(ChunkerEvaluator) Sentence #189 from 00101354 from sent14

Text  : 2001 - 2006 : Anwil Włocławek
Tokens: 1___ 2 3___ 4 5____ 6________

Chunks:
  TruePositive nam [5,6] = Anwil Włocławek (confidence=0.96)

(ChunkerEvaluator) Sentence #190 from 00101354 from sent15

Text  : 2006 - 2010 : Turów Zgorzelec
Tokens: 1___ 2 3___ 4 5____ 6________

Chunks:
  TruePositive nam [5,6] = Turów Zgorzelec (confidence=1.00)

(ChunkerEvaluator) Sentence #191 from 00101354 from sent16

Text  : 2010 - obecnie Asseco Prokom Gdynia
Tokens: 1___ 2 3______ 4_____ 5_____ 6_____

Chunks:
  TruePositive nam [4,6] = Asseco Prokom Gdynia (confidence=1.00)

(ChunkerEvaluator) Sentence #192 from 00101354 from sent17

Text  : Osiągnięcia i wyróżnienia
Tokens: 1__________ 2 3__________

Chunks:

(ChunkerEvaluator) Sentence #193 from 00101354 from sent18

Text  : Dwukrotny uczestnik Mistrzostw Europy ( 2007 , 2009 )
Tokens: 1________ 2________ 3_________ 4_____ 5 6___ 7 8___ 9

Chunks:
  TruePositive nam [3,4] = Mistrzostw Europy (confidence=0.99)

(ChunkerEvaluator) Sentence #194 from 00101354 from sent19

Text  : Mistrz Polski ( 2003 )
Tokens: 1_____ 2_____ 3 4___ 5

Chunks:
  TruePositive nam [2,2] = Polski (confidence=0.96)

(ChunkerEvaluator) Sentence #195 from 00101354 from sent20

Text  : Siedmiokrotny wicemistrz Polski ( 1999 - 2000 , 2005 -_ 2009 )_
Tokens: 1____________ 2_________ 3_____ 4 5___ 6 7___ 8 9___ 10 11__ 12

Chunks:
  TruePositive nam [3,3] = Polski (confidence=1.00)

(ChunkerEvaluator) Sentence #196 from 00101354 from sent21

Text  : Finalista Pucharu Polski ( 2004 )
Tokens: 1________ 2______ 3_____ 4 5___ 6

Chunks:
  FalsePositive nam [1,3] = Finalista Pucharu Polski (confidence=0.78) (incorrect boundry)
  FalseNegative nam [2,3] = Pucharu Polski

(ChunkerEvaluator) Sentence #197 from 00101354 from sent22

Text  : Wieloletni reprezentant Polski
Tokens: 1_________ 2___________ 3_____

Chunks:
  TruePositive nam [3,3] = Polski (confidence=1.00)

(ChunkerEvaluator) Sentence #198 from 00101354 from sent23

Text  : Uczestnik rozgrywek Pucharu Koracza ( 2000 )
Tokens: 1________ 2________ 3______ 4______ 5 6___ 7

Chunks:
  TruePositive nam [3,4] = Pucharu Koracza (confidence=1.00)

(ChunkerEvaluator) Sentence #199 from 00101354 from sent24

Text  : Uczestnik rozgrywek Pucharu Saporty ( 2002 )
Tokens: 1________ 2________ 3______ 4______ 5 6___ 7

Chunks:
  TruePositive nam [3,4] = Pucharu Saporty (confidence=1.00)

(ChunkerEvaluator) Sentence #200 from 00101354 from sent25

Text  : Uczestnik rozgrywek Pucharu ULEB ( 2003 , 2008 - 2010 )_
Tokens: 1________ 2________ 3______ 4___ 5 6___ 7 8___ 9 10__ 11

Chunks:
  TruePositive nam [3,4] = Pucharu ULEB (confidence=1.00)

2017-06-14 20:13:32,304 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 16 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101365.xml
(ChunkerEvaluator) Sentence #201 from 00101365 from sent1

Text  : Wysokie ( Beskid Śląski )
Tokens: 1______ 2 3_____ 4_____ 5

Chunks:
  TruePositive nam [3,4] = Beskid Śląski (confidence=1.00)
  FalseNegative nam [1,1] = Wysokie

(ChunkerEvaluator) Sentence #202 from 00101365 from sent2

Text  : Wysokie ( 756 m n . p . m ._ )_ –_ szczyt w_ północnej części Beskidu Śląskiego ,_ w_ paśmie Błotnego ._
Tokens: 1______ 2 3__ 4 5 6 7 8 9 10 11 12 13____ 14 15_______ 16____ 17_____ 18_______ 19 20 21____ 22______ 23

Chunks:
  TruePositive nam [17,18] = Beskidu Śląskiego (confidence=1.00)
  TruePositive nam [22,22] = Błotnego (confidence=0.98)
  FalseNegative nam [1,1] = Wysokie

(ChunkerEvaluator) Sentence #203 from 00101365 from sent3

Text  : Szczyt graniczny Bielska - Białej .
Tokens: 1_____ 2________ 3______ 4 5_____ 6

Chunks:
  TruePositive nam [3,5] = Bielska - Białej (confidence=1.00)

(ChunkerEvaluator) Sentence #204 from 00101365 from sent4

Text  : Przechodzi przez niego niebieski szlak z Bielska - Białej Wapienicy na Błotny ._
Tokens: 1_________ 2____ 3____ 4________ 5____ 6 7______ 8 9_____ 10_______ 11 12____ 13

Chunks:
  TruePositive nam [12,12] = Błotny (confidence=0.96)
  FalsePositive nam [7,10] = Bielska - Białej Wapienicy (confidence=1.00) (incorrect boundry)
  FalseNegative nam [7,9] = Bielska - Białej
  FalseNegative nam [10,10] = Wapienicy

(ChunkerEvaluator) Sentence #205 from 00101365 from sent5

Text  : Teren wokół szczytu znajduje się w obrębie bielskiego rezerwatu przyrody Jaworzyna ._
Tokens: 1____ 2____ 3______ 4_______ 5__ 6 7______ 8_________ 9________ 10______ 11_______ 12

Chunks:
  TruePositive nam [11,11] = Jaworzyna (confidence=1.00)

(ChunkerEvaluator) Sentence #206 from 00101365 from sent6

Text  : Sam szczyt jest zalesiony , a można go bardzo dobrze oglądać z_ Doliny Wapienicy ,_ głównie z_ rejonu zapory ._
Tokens: 1__ 2_____ 3___ 4________ 5 6 7____ 8_ 9_____ 10____ 11_____ 12 13____ 14_______ 15 16_____ 17 18____ 19____ 20

Chunks:
  TruePositive nam [13,14] = Doliny Wapienicy (confidence=1.00)

(ChunkerEvaluator) Sentence #207 from 00101365 from sent7

Text  : Niedaleko szczytu , po skręceniu ze szlaku niebieskiego w kierunku Borowiny znajduje się Uroczysko Kultowe z_ XVII wieku ,_ w_ którym odbywały się tajne nabożeństwa i_ śluby ewangelickie ._
Tokens: 1________ 2______ 3 4_ 5________ 6_ 7_____ 8___________ 9 10______ 11______ 12______ 13_ 14_______ 15_____ 16 17__ 18___ 19 20 21____ 22______ 23_ 24___ 25_________ 26 27___ 28__________ 29

Chunks:
  TruePositive nam [11,11] = Borowiny (confidence=1.00)
  TruePositive nam [14,15] = Uroczysko Kultowe (confidence=1.00)

(ChunkerEvaluator) Sentence #208 from 00101365 from sent8

Text  : W miejscu tym na kształt amfiteatru wyciosane jest kilkanaście kamiennych stopni ,_ które pomieścić mogły około 500 osób ._
Tokens: 1 2______ 3__ 4_ 5______ 6_________ 7________ 8___ 9__________ 10________ 11____ 12 13___ 14_______ 15___ 16___ 17_ 18__ 19

Chunks:

2017-06-14 20:13:32,339 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 17 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101380.xml
(ChunkerEvaluator) Sentence #209 from 00101380 from sent1

Text  : Mark Ryan
Tokens: 1___ 2___

Chunks:
  TruePositive nam [1,2] = Mark Ryan (confidence=1.00)

(ChunkerEvaluator) Sentence #210 from 00101380 from sent2

Text  : Mark Ryan ( ur . 7 czerwca 1956 w Doncaster )_ -_ brytyjski aktor filmowy ._
Tokens: 1___ 2___ 3 4_ 5 6 7______ 8___ 9 10_______ 11 12 13_______ 14___ 15_____ 16

Chunks:
  TruePositive nam [1,2] = Mark Ryan (confidence=1.00)
  TruePositive nam [10,10] = Doncaster (confidence=0.99)

(ChunkerEvaluator) Sentence #211 from 00101380 from sent3

Text  : Swoją karierę aktorską , poza epizodem w filmie Who Dares Wins z_ 1982 roku ,_ rozpoczął na planie serialu Robin z_ Sherwood ._
Tokens: 1____ 2______ 3_______ 4 5___ 6_______ 7 8_____ 9__ 10___ 11__ 12 13__ 14__ 15 16_______ 17 18____ 19_____ 20___ 21 22______ 23

Chunks:
  TruePositive nam [9,11] = Who Dares Wins (confidence=1.00)
  FalsePositive nam [20,20] = Robin (confidence=1.00) (incorrect boundry)
  FalsePositive nam [22,22] = Sherwood (confidence=0.99) (incorrect boundry)
  FalseNegative nam [20,22] = Robin z Sherwood

(ChunkerEvaluator) Sentence #212 from 00101380 from sent4

Text  : W serialu tym miał on także zagrać tylko epizod w_ pierwszej części ,_ a_ grana przez niego postać Nasira miała być uśmiercona przez Robina z_ Loxley ._
Tokens: 1 2______ 3__ 4___ 5_ 6____ 7_____ 8____ 9_____ 10 11_______ 12____ 13 14 15___ 16___ 17___ 18____ 19____ 20___ 21_ 22________ 23___ 24____ 25 26____ 27

Chunks:
  TruePositive nam [24,24] = Robina (confidence=1.00)
  TruePositive nam [26,26] = Loxley (confidence=0.96)
  FalseNegative nam [19,19] = Nasira

(ChunkerEvaluator) Sentence #213 from 00101380 from sent5

Text  : Jednakże ze względu na to , że wzbudził on podziw członków ekipy filmowej sposobem m_ ._ in ._ poruszania się ,_ postać ta ,_ a_ z_ nią on sam trwał aż do ostatniego odcinka serialu ._
Tokens: 1_______ 2_ 3______ 4_ 5_ 6 7_ 8_______ 9_ 10____ 11______ 12___ 13______ 14______ 15 16 17 18 19________ 20_ 21 22____ 23 24 25 26 27_ 28 29_ 30___ 31 32 33________ 34_____ 35_____ 36

Chunks:

(ChunkerEvaluator) Sentence #214 from 00101380 from sent6

Text  : Dzięki temu , że na planie dobrze posługiwał się bronią ,_ stał się jednym z_ większych fanów samego serialu ,_ a_ także stał się ekspertem od ustawiania walk bronią białą w_ filmach ._
Tokens: 1_____ 2___ 3 4_ 5_ 6_____ 7_____ 8_________ 9__ 10____ 11 12__ 13_ 14____ 15 16_______ 17___ 18____ 19_____ 20 21 22___ 23__ 24_ 25_______ 26 27________ 28__ 29____ 30___ 31 32_____ 33

Chunks:

(ChunkerEvaluator) Sentence #215 from 00101380 from sent7

Text  : Brał udział w koordynowaniu walk w takich filmach jak :_ The Secret Adventures of Jules Verne ,_ The Bacchae czy Król Artur ._
Tokens: 1___ 2_____ 3 4____________ 5___ 6 7_____ 8______ 9__ 10 11_ 12____ 13________ 14 15___ 16___ 17 18_ 19_____ 20_ 21__ 22___ 23

Chunks:
  TruePositive nam [11,16] = The Secret Adventures of Jules Verne (confidence=0.99)
  TruePositive nam [18,19] = The Bacchae (confidence=1.00)
  TruePositive nam [21,22] = Król Artur (confidence=1.00)

(ChunkerEvaluator) Sentence #216 from 00101380 from sent8

Text  : Swoich sił próbuje jako pisarz , który zawsze ma wiele pomysłów oraz gra w_ musicalach m_ ._ in ._ w_ West End ._
Tokens: 1_____ 2__ 3______ 4___ 5_____ 6 7____ 8_____ 9_ 10___ 11______ 12__ 13_ 14 15________ 16 17 18 19 20 21__ 22_ 23

Chunks:
  TruePositive nam [21,22] = West End (confidence=1.00)

(ChunkerEvaluator) Sentence #217 from 00101380 from sent9

Text  : Do albumu Matador wraz z Tomem Jonesem wykonał piosenkę pt ._ This Incredible Journey ._
Tokens: 1_ 2_____ 3______ 4___ 5 6____ 7______ 8______ 9_______ 10 11 12__ 13________ 14_____ 15

Chunks:
  TruePositive nam [3,3] = Matador (confidence=1.00)
  TruePositive nam [6,7] = Tomem Jonesem (confidence=1.00)
  TruePositive nam [12,14] = This Incredible Journey (confidence=1.00)

(ChunkerEvaluator) Sentence #218 from 00101380 from sent10

Text  : Wystąpił w teledysku Over the Hills and Far Away Gary'ego Moore'a ._
Tokens: 1_______ 2 3________ 4___ 5__ 6____ 7__ 8__ 9___ 10______ 11_____ 12

Chunks:
  FalsePositive nam [4,11] = Over the Hills and Far Away Gary'ego Moore'a (confidence=1.00) (incorrect boundry)
  FalseNegative nam [4,9] = Over the Hills and Far Away
  FalseNegative nam [10,11] = Gary'ego Moore'a

(ChunkerEvaluator) Sentence #219 from 00101380 from sent11

Text  : Także występuje w reklamach m . in . keczupu Heinz ._
Tokens: 1____ 2________ 3 4________ 5 6 7_ 8 9______ 10___ 11

Chunks:
  TruePositive nam [10,10] = Heinz (confidence=0.99)

(ChunkerEvaluator) Sentence #220 from 00101380 from sent12

Text  : Wybrana filmografia
Tokens: 1______ 2__________

Chunks:

(ChunkerEvaluator) Sentence #221 from 00101380 from sent13

Text  : 1983 - 1986 - Robin z Sherwood
Tokens: 1___ 2 3___ 4 5____ 6 7_______

Chunks:
  FalsePositive nam [5,5] = Robin (confidence=1.00) (incorrect boundry)
  FalsePositive nam [7,7] = Sherwood (confidence=0.93) (incorrect boundry)
  FalseNegative nam [5,7] = Robin z Sherwood

(ChunkerEvaluator) Sentence #222 from 00101380 from sent14

Text  : 1989 - Upiór w operze
Tokens: 1___ 2 3____ 4 5_____

Chunks:
  FalsePositive nam [3,3] = Upiór (confidence=0.89) (incorrect boundry)
  FalseNegative nam [3,5] = Upiór w operze

(ChunkerEvaluator) Sentence #223 from 00101380 from sent15

Text  : 1994 - Działo zagłady
Tokens: 1___ 2 3_____ 4______

Chunks:
  FalseNegative nam [3,4] = Działo zagłady

(ChunkerEvaluator) Sentence #224 from 00101380 from sent16

Text  : 1995 - Rycerz króla Artura
Tokens: 1___ 2 3_____ 4____ 5_____

Chunks:
  TruePositive nam [3,5] = Rycerz króla Artura (confidence=0.95)

(ChunkerEvaluator) Sentence #225 from 00101380 from sent17

Text  : 2000 - Norymberga
Tokens: 1___ 2 3_________

Chunks:
  TruePositive nam [3,3] = Norymberga (confidence=0.95)

2017-06-14 20:13:32,405 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 18 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101411.xml
(ChunkerEvaluator) Sentence #226 from 00101411 from sent1

Text  : Tadeusz Włodek
Tokens: 1______ 2_____

Chunks:
  TruePositive nam [1,2] = Tadeusz Włodek (confidence=1.00)

(ChunkerEvaluator) Sentence #227 from 00101411 from sent2

Text  : Tadeusz Włodek – szambelan króla Stanisława Augusta Poniatowskiego , jurgieltnik Jakoba Sieversa i_ Osipa Igelströma ._
Tokens: 1______ 2_____ 3 4________ 5____ 6_________ 7______ 8_____________ 9 10_________ 11____ 12______ 13 14___ 15________ 16

Chunks:
  TruePositive nam [1,2] = Tadeusz Włodek (confidence=1.00)
  TruePositive nam [6,8] = Stanisława Augusta Poniatowskiego (confidence=1.00)
  TruePositive nam [11,12] = Jakoba Sieversa (confidence=1.00)
  TruePositive nam [14,15] = Osipa Igelströma (confidence=0.96)

(ChunkerEvaluator) Sentence #228 from 00101411 from sent3

Text  : Jako członek wskrzeszonej Rady Nieustającej zaproponował 30 kwietnia 1793 wydanie żądanych przez ambasadora rosyjskiego uniwersałów sejmikowych ._
Tokens: 1___ 2______ 3___________ 4___ 5___________ 6___________ 7_ 8_______ 9___ 10_____ 11______ 12___ 13________ 14_________ 15_________ 16_________ 17

Chunks:
  TruePositive nam [4,5] = Rady Nieustającej (confidence=1.00)

(ChunkerEvaluator) Sentence #229 from 00101411 from sent4

Text  : Na sejmie grodzieńskim popierał traktat rozbiorowy z Prusami .
Tokens: 1_ 2_____ 3___________ 4_______ 5______ 6_________ 7 8______ 9

Chunks:
  TruePositive nam [8,8] = Prusami (confidence=0.99)

(ChunkerEvaluator) Sentence #230 from 00101411 from sent5

Text  : Mianowany komisarzem policji , wbrew woli króla uzyskał przywilej prasowy i_ wydawał w_ Warszawie Gazetę Krajową ._
Tokens: 1________ 2_________ 3______ 4 5____ 6___ 7____ 8______ 9________ 10_____ 11 12_____ 13 14_______ 15____ 16_____ 17

Chunks:
  TruePositive nam [14,14] = Warszawie (confidence=1.00)
  TruePositive nam [15,16] = Gazetę Krajową (confidence=0.60)

(ChunkerEvaluator) Sentence #231 from 00101411 from sent6

Text  : Po wybuchu powstania kościuszkowskiego uciekł ze stolicy .
Tokens: 1_ 2______ 3________ 4________________ 5_____ 6_ 7______ 8

Chunks:
  FalseNegative nam [3,4] = powstania kościuszkowskiego

2017-06-14 20:13:32,426 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 19 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101413.xml
(ChunkerEvaluator) Sentence #232 from 00101413 from sent1

Text  : Yuzawa - miasto w północnej Japonii , na wyspie Honsiu ._
Tokens: 1_____ 2 3_____ 4 5________ 6______ 7 8_ 9_____ 10____ 11

Chunks:
  TruePositive nam [1,1] = Yuzawa (confidence=0.97)
  TruePositive nam [6,6] = Japonii (confidence=1.00)
  TruePositive nam [10,10] = Honsiu (confidence=0.95)

(ChunkerEvaluator) Sentence #233 from 00101413 from sent2

Text  : Znajduje się w prefekturze Akita .
Tokens: 1_______ 2__ 3 4__________ 5____ 6

Chunks:
  TruePositive nam [5,5] = Akita (confidence=0.99)

(ChunkerEvaluator) Sentence #234 from 00101413 from sent3

Text  : Położenie
Tokens: 1________

Chunks:

(ChunkerEvaluator) Sentence #235 from 00101413 from sent4

Text  : Miasto leży w południowej części prefektury .
Tokens: 1_____ 2___ 3 4__________ 5_____ 6_________ 7

Chunks:

2017-06-14 20:13:32,434 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 20 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101448.xml
(ChunkerEvaluator) Sentence #236 from 00101448 from sent1

Text  : Ludwik Antoni Paszkiewicz
Tokens: 1_____ 2_____ 3__________

Chunks:
  TruePositive nam [1,3] = Ludwik Antoni Paszkiewicz (confidence=1.00)

(ChunkerEvaluator) Sentence #237 from 00101448 from sent2

Text  : Ludwik Antoni Paszkiewicz ( ur . 1 czerwca 1878 w_ Warszawie ,_ zm ._ 12 lipca 1967 w_ Warszawie )_ ,_ polski lekarz anatomopatolog ._
Tokens: 1_____ 2_____ 3__________ 4 5_ 6 7 8______ 9___ 10 11_______ 12 13 14 15 16___ 17__ 18 19_______ 20 21 22____ 23____ 24____________ 25

Chunks:
  TruePositive nam [1,3] = Ludwik Antoni Paszkiewicz (confidence=1.00)
  TruePositive nam [11,11] = Warszawie (confidence=1.00)
  TruePositive nam [19,19] = Warszawie (confidence=1.00)

(ChunkerEvaluator) Sentence #238 from 00101448 from sent3

Text  : Studia odbył w Warszawie i Berlinie .
Tokens: 1_____ 2____ 3 4________ 5 6_______ 7

Chunks:
  TruePositive nam [4,4] = Warszawie (confidence=1.00)
  TruePositive nam [6,6] = Berlinie (confidence=1.00)

(ChunkerEvaluator) Sentence #239 from 00101448 from sent4

Text  : Od 1924 profesor anatomii patologicznej w Warszawie , później Akademii Medycznej tamże do 1961 roku ._
Tokens: 1_ 2___ 3_______ 4_______ 5____________ 6 7________ 8 9______ 10______ 11_______ 12___ 13 14__ 15__ 16

Chunks:
  TruePositive nam [7,7] = Warszawie (confidence=1.00)
  TruePositive nam [10,11] = Akademii Medycznej (confidence=0.99)

(ChunkerEvaluator) Sentence #240 from 00101448 from sent5

Text  : W latach okupacji prowadził tajne nauczanie medycyny .
Tokens: 1 2_____ 3_______ 4________ 5____ 6________ 7_______ 8

Chunks:

(ChunkerEvaluator) Sentence #241 from 00101448 from sent6

Text  : Od 1945 członek Państwowej Akademii Umiejętności , od 1952 członek Państwowej Akademii Nauk ._
Tokens: 1_ 2___ 3______ 4_________ 5_______ 6___________ 7 8_ 9___ 10_____ 11________ 12______ 13__ 14

Chunks:
  TruePositive nam [4,6] = Państwowej Akademii Umiejętności (confidence=1.00)
  TruePositive nam [11,13] = Państwowej Akademii Nauk (confidence=1.00)

(ChunkerEvaluator) Sentence #242 from 00101448 from sent7

Text  : W latach ( 1946 - 1956 ) współorganizator i pierwszy prezes Polskiego Towarzystwa Anatomopatologicznego ._
Tokens: 1 2_____ 3 4___ 5 6___ 7 8_______________ 9 10______ 11____ 12_______ 13_________ 14___________________ 15

Chunks:
  TruePositive nam [12,14] = Polskiego Towarzystwa Anatomopatologicznego (confidence=1.00)

(ChunkerEvaluator) Sentence #243 from 00101448 from sent8

Text  : W latach ( 1954 - 1962 ) kierownik Zakładu Patologii Doświadczalnej PAN ._
Tokens: 1 2_____ 3 4___ 5 6___ 7 8________ 9______ 10_______ 11____________ 12_ 13

Chunks:
  FalsePositive nam [9,12] = Zakładu Patologii Doświadczalnej PAN (confidence=1.00) (incorrect boundry)
  FalseNegative nam [9,11] = Zakładu Patologii Doświadczalnej
  FalseNegative nam [12,12] = PAN

(ChunkerEvaluator) Sentence #244 from 00101448 from sent9

Text  : Był jednym z założycieli i redaktorem Polskiego Tygodnika Lekarskiego ._
Tokens: 1__ 2_____ 3 4__________ 5 6_________ 7________ 8________ 9__________ 10

Chunks:
  TruePositive nam [7,9] = Polskiego Tygodnika Lekarskiego (confidence=0.97)

(ChunkerEvaluator) Sentence #245 from 00101448 from sent10

Text  : Zajmował się głównie badaniem nowotworów i układu siateczkowo - śródbłonkowego ._
Tokens: 1_______ 2__ 3______ 4_______ 5_________ 6 7_____ 8__________ 9 10____________ 11

Chunks:

(ChunkerEvaluator) Sentence #246 from 00101448 from sent11

Text  : Prace : " Anatomia patologiczna " ( 1927 ) ,_ "_ O_ utrwalaniu i_ przechowywaniu preparatów anatomicznych z_ utrzymaniem ich barwy naturalnej "_ ,_ "_ W_ sprawach doświadczonego wywoływania nowotworów przez drażnienie smołą pogazową "_ ._
Tokens: 1____ 2 3 4_______ 5___________ 6 7 8___ 9 10 11 12 13________ 14 15____________ 16________ 17___________ 18 19_________ 20_ 21___ 22________ 23 24 25 26 27______ 28____________ 29_________ 30________ 31___ 32________ 33___ 34______ 35 36

Chunks:
  TruePositive nam [4,5] = Anatomia patologiczna (confidence=0.97)
  FalseNegative nam [12,22] = O utrwalaniu i przechowywaniu preparatów anatomicznych z utrzymaniem ich barwy naturalnej
  FalseNegative nam [26,34] = W sprawach doświadczonego wywoływania nowotworów przez drażnienie smołą pogazową

(ChunkerEvaluator) Sentence #247 from 00101448 from sent12

Text  : Jako jeden z pierwszych polskich lekarzy opisał " Technikę sekcji zwłok z_ 297 rysunkami "_ ._
Tokens: 1___ 2____ 3 4_________ 5_______ 6______ 7_____ 8 9_______ 10____ 11___ 12 13_ 14_______ 15 16

Chunks:
  FalseNegative nam [9,14] = Technikę sekcji zwłok z 297 rysunkami

2017-06-14 20:13:32,480 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 21 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101473.xml
(ChunkerEvaluator) Sentence #248 from 00101473 from sent1

Text  : Osówiec ( województwo kujawsko - pomorskie )
Tokens: 1______ 2 3__________ 4_______ 5 6________ 7

Chunks:
  TruePositive nam [4,6] = kujawsko - pomorskie (confidence=1.00)
  FalseNegative nam [1,1] = Osówiec

(ChunkerEvaluator) Sentence #249 from 00101473 from sent2

Text  : Osówiec – wieś w Polsce położona w województwie kujawsko -_ pomorskim ,_ w_ powiecie bydgoskim ,_ w_ gminie Sicienko ._
Tokens: 1______ 2 3___ 4 5_____ 6_______ 7 8___________ 9_______ 10 11_______ 12 13 14______ 15_______ 16 17 18____ 19______ 20

Chunks:
  TruePositive nam [5,5] = Polsce (confidence=1.00)
  TruePositive nam [9,11] = kujawsko - pomorskim (confidence=0.95)
  TruePositive nam [15,15] = bydgoskim (confidence=0.99)
  TruePositive nam [19,19] = Sicienko (confidence=1.00)
  FalseNegative nam [1,1] = Osówiec

(ChunkerEvaluator) Sentence #250 from 00101473 from sent3

Text  : W latach 1975 - 1998 miejscowość administracyjnie należała do województwa bydgoskiego ._
Tokens: 1 2_____ 3___ 4 5___ 6__________ 7_______________ 8_______ 9_ 10_________ 11_________ 12

Chunks:
  TruePositive nam [11,11] = bydgoskiego (confidence=0.98)

2017-06-14 20:13:32,491 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 22 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101479.xml
(ChunkerEvaluator) Sentence #251 from 00101479 from sent1

Text  : Dalmierz
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #252 from 00101479 from sent2

Text  : Dalmierz ( odległościomierz ) - przyrząd służący do pomiaru odległości bez potrzeby jej przebywania ._
Tokens: 1_______ 2 3_______________ 4 5 6_______ 7______ 8_ 9______ 10________ 11_ 12______ 13_ 14_________ 15

Chunks:

(ChunkerEvaluator) Sentence #253 from 00101479 from sent3

Text  : Działanie dalmierza optycznego polega na obserwacji przedmiotu za pomocą dwu prawie równoległych obiektywów ,_ umieszczonych na tzw ._ bazie i_ pomiarze kąta paralaksy osi optycznych obu obiektywów ._
Tokens: 1________ 2________ 3_________ 4_____ 5_ 6_________ 7_________ 8_ 9_____ 10_ 11____ 12__________ 13________ 14 15___________ 16 17_ 18 19___ 20 21______ 22__ 23_______ 24_ 25________ 26_ 27________ 28

Chunks:

(ChunkerEvaluator) Sentence #254 from 00101479 from sent4

Text  : Kąt paralaksy ϕ , w przybliżeniu małych kątów ( tj ._ gdy sin (_ ϕ_ )_ ≈_ ϕ_ ,_ gdzie ϕ_ wyrażone w_ radianach )_ ,_ jest odwrotnie proporcjonalny do odległości do celu ._
Tokens: 1__ 2________ 3 4 5 6___________ 7_____ 8____ 9 10 11 12_ 13_ 14 15 16 17 18 19 20___ 21 22______ 23 24_______ 25 26 27__ 28_______ 29____________ 30 31________ 32 33__ 34

Chunks:

(ChunkerEvaluator) Sentence #255 from 00101479 from sent5

Text  : Istnieją dalmierze optyczne koincydencyjne ( jednookularowe ) i stereoskopowe (_ dwuokularowe )_ ._
Tokens: 1_______ 2________ 3_______ 4_____________ 5 6_____________ 7 8 9____________ 10 11__________ 12 13

Chunks:

(ChunkerEvaluator) Sentence #256 from 00101479 from sent6

Text  : Ze względu na zastosowania wyróżnia się dalmierze optyczne topograficzne i_ artyleryjskie (_ dokładniejsze )_ ._
Tokens: 1_ 2______ 3_ 4___________ 5_______ 6__ 7________ 8_______ 9____________ 10 11___________ 12 13___________ 14 15

Chunks:

(ChunkerEvaluator) Sentence #257 from 00101479 from sent7

Text  : W dalmierzowych aparatach fotograficznych stosuje się uproszczone dalmierze optyczne ._
Tokens: 1 2____________ 3________ 4______________ 5______ 6__ 7__________ 8________ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #258 from 00101479 from sent8

Text  : Dalmierze elektromagnetyczne
Tokens: 1________ 2_________________

Chunks:

(ChunkerEvaluator) Sentence #259 from 00101479 from sent9

Text  : Dalmierz elektromagnetyczny - pomiar odległości przeprowadza się na podstawie pomiaru czasu ,_ w_ jakim powraca sygnał radiowy wyemitowany w_ kierunku przedmiotu (_ dalmierz impulsowy )_ ,_ lub na podstawie różnicy faz fal elektromagnetycznych :_ emitowanej i_ rejestrowanej (_ dalmierz o_ fali ciągłej )_ ._
Tokens: 1_______ 2_________________ 3 4_____ 5_________ 6___________ 7__ 8_ 9________ 10_____ 11___ 12 13 14___ 15_____ 16____ 17_____ 18_________ 19 20______ 21________ 22 23______ 24_______ 25 26 27_ 28 29_______ 30_____ 31_ 32_ 33__________________ 34 35________ 36 37___________ 38 39______ 40 41__ 42_____ 43 44

Chunks:

(ChunkerEvaluator) Sentence #260 from 00101479 from sent10

Text  : Dalmierze elektromagnetyczne wykorzystywane są w radiolokacji , radiogeodezji oraz radionawigacji ._
Tokens: 1________ 2_________________ 3_____________ 4_ 5 6___________ 7 8____________ 9___ 10____________ 11

Chunks:

(ChunkerEvaluator) Sentence #261 from 00101479 from sent11

Text  : Istnieje wiele rozwiązań konstrukcyjnych i systemów dalmierzy , np ._ dalmierz świetlny ,_ dalmierze interferencyjne :_ ruchomy interferometr radiowy (_ radiolag )_ ,_ sonda fazowa ,_ dalmierze o_ nieruchomym obrazie interferencyjnym ,_ dalmierze cyfrowe ._
Tokens: 1_______ 2____ 3________ 4______________ 5 6_______ 7________ 8 9_ 10 11______ 12______ 13 14_______ 15_____________ 16 17_____ 18___________ 19_____ 20 21______ 22 23 24___ 25____ 26 27_______ 28 29_________ 30_____ 31______________ 32 33_______ 34_____ 35

Chunks:

(ChunkerEvaluator) Sentence #262 from 00101479 from sent12

Text  : Dalmierze elektromagnetyczne dzielą się na :
Tokens: 1________ 2_________________ 3_____ 4__ 5_ 6

Chunks:

(ChunkerEvaluator) Sentence #263 from 00101479 from sent13

Text  : dalmierze elektrooptyczne ,
Tokens: 1________ 2______________ 3

Chunks:

(ChunkerEvaluator) Sentence #264 from 00101479 from sent14

Text  : dalmierze mikrofalowe ( radiowe )
Tokens: 1________ 2__________ 3 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #265 from 00101479 from sent15

Text  : W pomiarach liniowych w geodezyjnych osnowach szczegółowych mierzone są długości rzędu kilkuset metrów do kilku kilometrów ,_ więc do tego celu wykorzystywane są dalmierze elektrooptyczne ,_ które dzielą się na :_
Tokens: 1 2________ 3________ 4 5___________ 6_______ 7____________ 8_______ 9_ 10______ 11___ 12______ 13____ 14 15___ 16________ 17 18__ 19 20__ 21__ 22____________ 23 24_______ 25_____________ 26 27___ 28____ 29_ 30 31

Chunks:

(ChunkerEvaluator) Sentence #266 from 00101479 from sent16

Text  : fazowe ,
Tokens: 1_____ 2

Chunks:

(ChunkerEvaluator) Sentence #267 from 00101479 from sent17

Text  : impulsowe ( za ich pomocą można wykonywać pomiary bez użycia reflektorów zwrotnych ,_ szczególnie w_ pomiarach szczegółów sytuacyjnych ,_ charakteryzują się jednak mniejszą dokładnością )_ ._
Tokens: 1________ 2 3_ 4__ 5_____ 6____ 7________ 8______ 9__ 10____ 11_________ 12_______ 13 14_________ 15 16_______ 17________ 18__________ 19 20____________ 21_ 22____ 23______ 24__________ 25 26

Chunks:

2017-06-14 20:13:32,561 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 23 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101500.xml
(ChunkerEvaluator) Sentence #268 from 00101500 from sent1

Text  : Zamek ( powieść )
Tokens: 1____ 2 3______ 4

Chunks:
  FalseNegative nam [1,1] = Zamek

(ChunkerEvaluator) Sentence #269 from 00101500 from sent2

Text  : Zamek ( Das Schloß ) to jeden z najbardziej tajemniczych utworów Franza Kafki ._
Tokens: 1____ 2 3__ 4_____ 5 6_ 7____ 8 9__________ 10__________ 11_____ 12____ 13___ 14

Chunks:
  TruePositive nam [12,13] = Franza Kafki (confidence=1.00)
  FalseNegative nam [1,1] = Zamek
  FalseNegative nam [3,4] = Das Schloß

(ChunkerEvaluator) Sentence #270 from 00101500 from sent3

Text  : Powieść ta jest ostatnią częścią tzw . Trylogii samotności (_ Ameryka ,_ Proces ,_ Zamek )_ ._
Tokens: 1______ 2_ 3___ 4_______ 5______ 6__ 7 8_______ 9_________ 10 11_____ 12 13____ 14 15___ 16 17

Chunks:
  TruePositive nam [8,9] = Trylogii samotności (confidence=0.60)
  TruePositive nam [11,11] = Ameryka (confidence=1.00)
  TruePositive nam [13,13] = Proces (confidence=0.97)
  TruePositive nam [15,15] = Zamek (confidence=0.90)

(ChunkerEvaluator) Sentence #271 from 00101500 from sent4

Text  : Prace nad nią Kafka rozpoczął w 1922 roku , ale dzieło to ,_ podobnie jak Ameryka i_ Proces ,_ nie zostało dokończone ._
Tokens: 1____ 2__ 3__ 4____ 5________ 6 7___ 8___ 9 10_ 11____ 12 13 14______ 15_ 16_____ 17 18____ 19 20_ 21_____ 22________ 23

Chunks:
  TruePositive nam [4,4] = Kafka (confidence=1.00)
  TruePositive nam [16,16] = Ameryka (confidence=1.00)
  TruePositive nam [18,18] = Proces (confidence=0.65)

(ChunkerEvaluator) Sentence #272 from 00101500 from sent5

Text  : Treść ostatniego rozdziału Kafka przekazał podobno Maxowi Brodowi ( ten przynajmniej tak twierdził )_ ,_ ale chyba nigdy nie dowiemy się ,_ jak było naprawdę ._
Tokens: 1____ 2_________ 3________ 4____ 5________ 6______ 7_____ 8______ 9 10_ 11__________ 12_ 13_______ 14 15 16_ 17___ 18___ 19_ 20_____ 21_ 22 23_ 24__ 25______ 26

Chunks:
  TruePositive nam [4,4] = Kafka (confidence=1.00)
  TruePositive nam [7,8] = Maxowi Brodowi (confidence=1.00)

(ChunkerEvaluator) Sentence #273 from 00101500 from sent6

Text  : Brod był również osobą , która po śmierci Kafki po raz pierwszy wydała Zamek ._
Tokens: 1___ 2__ 3______ 4____ 5 6____ 7_ 8______ 9____ 10 11_ 12______ 13____ 14___ 15

Chunks:
  TruePositive nam [1,1] = Brod (confidence=0.74)
  TruePositive nam [9,9] = Kafki (confidence=1.00)
  TruePositive nam [14,14] = Zamek (confidence=0.96)

(ChunkerEvaluator) Sentence #274 from 00101500 from sent7

Text  : Treść
Tokens: 1____

Chunks:

(ChunkerEvaluator) Sentence #275 from 00101500 from sent8

Text  : Głównym bohaterem powieści jest tajemniczy K . , o którym niewiele możemy dowiedzieć się z_ samego tekstu ._
Tokens: 1______ 2________ 3_______ 4___ 5_________ 6 7 8 9 10____ 11______ 12____ 13________ 14_ 15 16____ 17____ 18

Chunks:
  FalseNegative nam [6,7] = K .

(ChunkerEvaluator) Sentence #276 from 00101500 from sent9

Text  : Przybywa nie wiadomo skąd do nieznanej wioski , by tam podjąć pracę geometry ;_ nie znajduje jednak zrozumienia wśród miejscowej ludności ._
Tokens: 1_______ 2__ 3______ 4___ 5_ 6________ 7_____ 8 9_ 10_ 11____ 12___ 13______ 14 15_ 16______ 17____ 18_________ 19___ 20________ 21______ 22

Chunks:

(ChunkerEvaluator) Sentence #277 from 00101500 from sent10

Text  : K . jest obcy we wsi i nie zna reguł postępowania jej mieszkańców ._
Tokens: 1 2 3___ 4___ 5_ 6__ 7 8__ 9__ 10___ 11__________ 12_ 13_________ 14

Chunks:
  FalseNegative nam [1,2] = K .

(ChunkerEvaluator) Sentence #278 from 00101500 from sent11

Text  : Wkrótce orientuje się , że nic we wsi nie może się stać bez zgody władcy zamku ,_ kontrolującego życie wsi przy pomocy urzędników ._
Tokens: 1______ 2________ 3__ 4 5_ 6__ 7_ 8__ 9__ 10__ 11_ 12__ 13_ 14___ 15____ 16___ 17 18____________ 19___ 20_ 21__ 22____ 23________ 24

Chunks:

(ChunkerEvaluator) Sentence #279 from 00101500 from sent12

Text  : Podstawowym wątkiem dzieła są starania K . , by dostać się do unoszącego się nad wioską tytułowego zamku w_ celu uzyskania zezwolenia na osiedlenie się w_ wiosce ,_ co okazuje się zadaniem niemalże niewykonalnym ._
Tokens: 1__________ 2______ 3_____ 4_ 5_______ 6 7 8 9_ 10____ 11_ 12 13________ 14_ 15_ 16____ 17________ 18___ 19 20__ 21_______ 22________ 23 24________ 25_ 26 27____ 28 29 30_____ 31_ 32______ 33______ 34___________ 35

Chunks:
  FalseNegative nam [6,7] = K .

(ChunkerEvaluator) Sentence #280 from 00101500 from sent13

Text  : Akcja nie znajduje rozwiązania , co nie powinno dziwić ze względu na niedokończony charakter tego dzieła ,_ ale również z_ tego powodu ,_ iż większość tekstów literackich Kafki to fragmenty ._
Tokens: 1____ 2__ 3_______ 4__________ 5 6_ 7__ 8______ 9_____ 10 11_____ 12 13___________ 14_______ 15__ 16____ 17 18_ 19_____ 20 21__ 22____ 23 24 25_______ 26_____ 27_________ 28___ 29 30_______ 31

Chunks:
  TruePositive nam [28,28] = Kafki (confidence=1.00)

(ChunkerEvaluator) Sentence #281 from 00101500 from sent14

Text  : Znaczenie
Tokens: 1________

Chunks:

(ChunkerEvaluator) Sentence #282 from 00101500 from sent15

Text  : Na temat możliwości interpretacyjnych Zamku można by napisać kilka osobnych grubych tomów ._
Tokens: 1_ 2____ 3_________ 4________________ 5____ 6____ 7_ 8______ 9____ 10______ 11_____ 12___ 13

Chunks:
  TruePositive nam [5,5] = Zamku (confidence=0.92)

(ChunkerEvaluator) Sentence #283 from 00101500 from sent16

Text  : Powieść tę uważa się za najtrudniejszy do odszyfrowania utwór Kafki ._
Tokens: 1______ 2_ 3____ 4__ 5_ 6_____________ 7_ 8____________ 9____ 10___ 11

Chunks:
  TruePositive nam [10,10] = Kafki (confidence=0.99)

(ChunkerEvaluator) Sentence #284 from 00101500 from sent17

Text  : Niektórzy badacze są nawet zdania , że jego zinterpretowanie nie jest możliwe ,_ bo tak chciał sam autor pisząc to dzieło ._
Tokens: 1________ 2______ 3_ 4____ 5_____ 6 7_ 8___ 9_______________ 10_ 11__ 12_____ 13 14 15_ 16____ 17_ 18___ 19____ 20 21____ 22

Chunks:

(ChunkerEvaluator) Sentence #285 from 00101500 from sent18

Text  : Całą lawinę interpretacji wprawił w ruch Max Brod swoim posłowiem do pierwszego wydania Zamku ,_ w_ którym wysunął tezę ,_ iż Proces miał by jakoby ilustrować karę Boską ,_ a_ Zamek jego łaskę ._
Tokens: 1___ 2_____ 3____________ 4______ 5 6___ 7__ 8___ 9____ 10_______ 11 12________ 13_____ 14___ 15 16 17____ 18_____ 19__ 20 21 22____ 23__ 24 25____ 26________ 27__ 28___ 29 30 31___ 32__ 33___ 34

Chunks:
  TruePositive nam [7,8] = Max Brod (confidence=1.00)
  TruePositive nam [14,14] = Zamku (confidence=0.61)
  TruePositive nam [22,22] = Proces (confidence=0.70)
  TruePositive nam [31,31] = Zamek (confidence=0.90)
  FalsePositive nam [28,28] = Boską (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #286 from 00101500 from sent19

Text  : Później do słowa doszli egzystencjaliści , socjologowie , psychoanalitycy itd ._ ,_ a_ cały spór trwa do dzisiaj i_ pewnie będzie trwał również w_ przyszłości ._
Tokens: 1______ 2_ 3____ 4_____ 5_______________ 6 7___________ 8 9______________ 10_ 11 12 13 14__ 15__ 16__ 17 18_____ 19 20____ 21____ 22___ 23_____ 24 25_________ 26

Chunks:

(ChunkerEvaluator) Sentence #287 from 00101500 from sent20

Text  : Jeśli chodzi o polską recepcję Zamku , to trzeba zwrócić uwagę na fakt ,_ iż większość polskich czytelników widzi w_ nim ciąg dalszy Procesu jako krytyki biurokracji ,_ co jest przekonaniem błędnym ,_ bowiem badacze są zgodni ,_ iż przedstawiona tutaj biurokracja to tylko cieniutkie wieczko ,_ pod którym kryje się prawdziwa głębia utworu ._
Tokens: 1____ 2_____ 3 4_____ 5_______ 6____ 7 8_ 9_____ 10_____ 11___ 12 13__ 14 15 16_______ 17______ 18_________ 19___ 20 21_ 22__ 23____ 24_____ 25__ 26_____ 27_________ 28 29 30__ 31__________ 32_____ 33 34____ 35_____ 36 37____ 38 39 40___________ 41___ 42_________ 43 44___ 45________ 46_____ 47 48_ 49____ 50___ 51_ 52_______ 53____ 54____ 55

Chunks:
  TruePositive nam [6,6] = Zamku (confidence=0.97)
  TruePositive nam [24,24] = Procesu (confidence=0.98)

2017-06-14 20:13:32,669 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 24 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101508.xml
(ChunkerEvaluator) Sentence #288 from 00101508 from sent1

Text  : Ponieważ pas jest dość krótki ( 2180 m ) ,_ a_ lądują na nim nierzadko duże samoloty (_ wyspa cieszy się dużą popularnością wśród turystów )_ ,_ piloci często starają się lądować tuż za progiem pasa 10 (_ dawniej 9_ ,_ lądowanie dużych samolotów na pasie 27 /_ 28 jest uniemożlione przez pagórki znajdujące się za wschodnim końcem pasa )_ ,_ by zostało dużo miejsca na hamowanie ._
Tokens: 1_______ 2__ 3___ 4___ 5_____ 6 7___ 8 9 10 11 12____ 13 14_ 15_______ 16__ 17______ 18 19___ 20____ 21_ 22__ 23___________ 24___ 25______ 26 27 28____ 29____ 30_____ 31_ 32_____ 33_ 34 35_____ 36__ 37 38 39_____ 40 41 42_______ 43____ 44_______ 45 46___ 47 48 49 50__ 51__________ 52___ 53_____ 54________ 55_ 56 57_______ 58____ 59__ 60 61 62 63_____ 64__ 65_____ 66 67_______ 68

Chunks:

(ChunkerEvaluator) Sentence #289 from 00101508 from sent2

Text  : Proszę zwrócić uwagę na ślady opon na powyższym zdjęciu ._
Tokens: 1_____ 2______ 3____ 4_ 5____ 6___ 7_ 8________ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #290 from 00101508 from sent3

Text  : Czyli samoloty przelatują bardzo nisko nad plażą , a miłośnicy lotnictwa mają świetne widoki ._
Tokens: 1____ 2_______ 3_________ 4_____ 5____ 6__ 7____ 8 9 10_______ 11_______ 12__ 13_____ 14____ 15

Chunks:

(ChunkerEvaluator) Sentence #291 from 00101508 from sent4

Text  : Podobnie przy startach z pasa 10 ważne jest , aby rozpocząć rozbieg z_ samego początku pasa ,_ by mieć dużo miejsca na rozpędzenie samolotu ._
Tokens: 1_______ 2___ 3_______ 4 5___ 6_ 7____ 8___ 9 10_ 11_______ 12_____ 13 14____ 15______ 16__ 17 18 19__ 20__ 21_____ 22 23_________ 24______ 25

Chunks:

(ChunkerEvaluator) Sentence #292 from 00101508 from sent5

Text  : Tym bardziej , że po starcie trzeba szybko się wznosić i_ skręcać by uniknąć pagórków ._
Tokens: 1__ 2_______ 3 4_ 5_ 6______ 7_____ 8_____ 9__ 10_____ 11 12_____ 13 14_____ 15______ 16

Chunks:

(ChunkerEvaluator) Sentence #293 from 00101508 from sent6

Text  : To z kolei wykorzystywane jest do zabawy przez ludzi na plaży ,_ bo w_ takiej odległości od rozpoczynającego rozbieg dużego odrzutowca wicher wytwarzany przez silniki jest bardzo mocny ._
Tokens: 1_ 2 3____ 4_____________ 5___ 6_ 7_____ 8____ 9____ 10 11___ 12 13 14 15____ 16________ 17 18______________ 19_____ 20____ 21________ 22____ 23________ 24___ 25_____ 26__ 27____ 28___ 29

Chunks:

(ChunkerEvaluator) Sentence #294 from 00101508 from sent7

Text  : Naprawdę blisko silnika był by nawet groźny , były wypadki przewrócenia niewielkich samolotów czy samochodów ,_ lub uszkodzenia urządzeń lotniskowych ._
Tokens: 1_______ 2_____ 3______ 4__ 5_ 6____ 7_____ 8 9___ 10_____ 11__________ 12_________ 13_______ 14_ 15________ 16 17_ 18_________ 19______ 20__________ 21

Chunks:

(ChunkerEvaluator) Sentence #295 from 00101508 from sent8

Text  : Jednak na St . Maarten odległość jest wystarczająca dla bezpieczeństwa ,_ o_ ile mi wiadomo ,_ nikt tam nigdy nie zginął ani nie odniósł obrażeń ._
Tokens: 1_____ 2_ 3_ 4 5______ 6________ 7___ 8____________ 9__ 10____________ 11 12 13_ 14 15_____ 16 17__ 18_ 19___ 20_ 21____ 22_ 23_ 24_____ 25_____ 26

Chunks:
  TruePositive nam [3,5] = St . Maarten (confidence=0.99)

(ChunkerEvaluator) Sentence #296 from 00101508 from sent9

Text  : Tablice ostrzegawcze niby wiszą , ale z drugiej w okolicznych barach wiszą rozkłady lotów ,_ a_ czasem nawet transmituje się rozmowy między pilotami a_ wieżą ._
Tokens: 1______ 2___________ 3___ 4____ 5 6__ 7 8______ 9 10_________ 11____ 12___ 13______ 14___ 15 16 17____ 18___ 19_________ 20_ 21_____ 22____ 23______ 24 25___ 26

Chunks:

(ChunkerEvaluator) Sentence #297 from 00101508 from sent10

Text  : Plaża Maho nie jest więc miejscem samobójstw i śmiertelnych wypadków ,_ tylko atrakcją turystyczną i_ miejscem rozrywki ._
Tokens: 1____ 2___ 3__ 4___ 5___ 6_______ 7_________ 8 9___________ 10______ 11 12___ 13______ 14_________ 15 16______ 17______ 18

Chunks:
  FalsePositive nam [1,2] = Plaża Maho (confidence=0.88) (incorrect boundry)
  FalseNegative nam [2,2] = Maho

(ChunkerEvaluator) Sentence #298 from 00101508 from sent11

Text  : Uprawianej , dodajmy , nie tylko przez młodych mężczyzn ,_ ale również przez mocno posiwiałych ,_ jak i_ przez młode kobiety ._
Tokens: 1_________ 2 3______ 4 5__ 6____ 7____ 8______ 9_______ 10 11_ 12_____ 13___ 14___ 15_________ 16 17_ 18 19___ 20___ 21_____ 22

Chunks:

2017-06-14 20:13:32,739 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 25 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101519.xml
(ChunkerEvaluator) Sentence #299 from 00101519 from sent1

Text  : A jej wtedy dusza ze strachu zakrzepła na ten lity kamień ._
Tokens: 1 2__ 3____ 4____ 5_ 6______ 7________ 8_ 9__ 10__ 11____ 12

Chunks:

(ChunkerEvaluator) Sentence #300 from 00101519 from sent2

Text  : Szczęściem , że nim jeszcze chłopaka docucili , wywalili się z_ boru na drogę i_ powiedali ,_ jak było ,_ a_ może w_ pacierz sama już dojrzała przy ojcowym wozie Antka żywego :_ jako trup był siny ,_ okrwawiony ,_ zgoła nieprzytomny ._
Tokens: 1_________ 2 3_ 4__ 5______ 6_______ 7_______ 8 9_______ 10_ 11 12__ 13 14___ 15 16_______ 17 18_ 19__ 20 21 22__ 23 24_____ 25__ 26_ 27______ 28__ 29_____ 30___ 31___ 32____ 33 34__ 35__ 36_ 37__ 38 39________ 40 41___ 42__________ 43

Chunks:
  TruePositive nam [31,31] = Antka (confidence=1.00)

(ChunkerEvaluator) Sentence #301 from 00101519 from sent3

Text  : Juści , że ją płacz chwycił i boleść ozdzierała ,_ ale się przemogła ,_ ile że ją ociec ,_ stary Bylica ,_ odciągnął na bok i_ cicho powiedział :_
Tokens: 1____ 2 3_ 4_ 5____ 6______ 7 8_____ 9_________ 10 11_ 12_ 13_______ 14 15_ 16 17 18___ 19 20___ 21____ 22 23_______ 24 25_ 26 27___ 28________ 29

Chunks:
  TruePositive nam [21,21] = Bylica (confidence=1.00)

(ChunkerEvaluator) Sentence #302 from 00101519 from sent4

Text  : – Stary wnet zamrze , Antek o Bożym świecie nie wie ,_ a_ w_ Borynowej chałupie nikogój ,_ j_ jeszcze się kowal tam wniesie i_ nikto go już nie wygoni !_ ._ ._ ._
Tokens: 1 2____ 3___ 4_____ 5 6____ 7 8____ 9______ 10_ 11_ 12 13 14 15_______ 16______ 17_____ 18 19 20_____ 21_ 22___ 23_ 24_____ 25 26___ 27 28_ 29_ 30____ 31 32 33 34

Chunks:
  FalsePositive nam [6,8] = Antek o Bożym (confidence=1.00) (incorrect boundry)
  FalsePositive nam [15,15] = Borynowej (confidence=1.00) (incorrect boundry)
  FalseNegative nam [6,6] = Antek

(ChunkerEvaluator) Sentence #303 from 00101519 from sent5

Text  : Zmiarkowała rychło , że w dyrdy poleciała do chałupy ,_ zabrała dzieci i_ co było na podorędziu ze szmat ,_ resztę zaś zdała na Weronczyną opiekę i_ przeniosła się chybcikiem na dawne miejsce ,_ po drugiej stronie Borynowej chałupy ._
Tokens: 1__________ 2_____ 3 4_ 5 6____ 7________ 8_ 9______ 10 11_____ 12____ 13 14 15__ 16 17________ 18 19___ 20 21____ 22_ 23___ 24 25________ 26____ 27 28________ 29_ 30________ 31 32___ 33_____ 34 35 36_____ 37_____ 38_______ 39_____ 40

Chunks:
  FalsePositive nam [25,25] = Weronczyną (confidence=0.80) (incorrect boundry)
  FalsePositive nam [38,38] = Borynowej (confidence=0.98) (incorrect boundry)

(ChunkerEvaluator) Sentence #304 from 00101519 from sent6

Text  : Jeszczech Borynę opatrywał Jambroży , jeszczech ludzie byli się nie rozeszli ,_ jeszczech cała wieś wrzała uciechą a_ gdzie jękami pobitych ,_ a_ ona cichuśko się wniesła i_ osiadła na amen ._
Tokens: 1________ 2_____ 3________ 4_______ 5 6________ 7_____ 8___ 9__ 10_ 11______ 12 13_______ 14__ 15__ 16____ 17_____ 18 19___ 20____ 21______ 22 23 24_ 25______ 26_ 27_____ 28 29_____ 30 31__ 32

Chunks:
  TruePositive nam [4,4] = Jambroży (confidence=1.00)
  FalsePositive nam [1,2] = Jeszczech Borynę (confidence=0.94) (incorrect boundry)
  FalseNegative nam [2,2] = Borynę

(ChunkerEvaluator) Sentence #305 from 00101519 from sent7

Text  : A stróżowała pilnie : toć Antkowy też był gront ,_ a_ stary ledwie zipał i_ mógł leda pacierz wyciągnąć kulasy ._
Tokens: 1 2_________ 3_____ 4 5__ 6______ 7__ 8__ 9____ 10 11 12___ 13____ 14___ 15 16__ 17__ 18_____ 19_______ 20____ 21

Chunks:
  FalsePositive nam [6,6] = Antkowy (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #306 from 00101519 from sent8

Text  : Wiadomo przecież , iż któren pierwszy dopadnie dziedzictwa i wczepi we ń_ pazury ,_ to i_ niełacno go oderwać ,_ i_ prawo za sobą będzie miał ._
Tokens: 1______ 2_______ 3 4_ 5_____ 6_______ 7_______ 8__________ 9 10____ 11 12 13____ 14 15 16 17______ 18 19_____ 20 21 22___ 23 24__ 25____ 26__ 27

Chunks:

(ChunkerEvaluator) Sentence #307 from 00101519 from sent9

Text  : Co jej tam znaczyły kowalowe krzyki i groźby , którymi jej bronił wstępu ,_ srodze zgniewany ,_ iż go uprzedziła !_
Tokens: 1_ 2__ 3__ 4_______ 5_______ 6_____ 7 8_____ 9 10_____ 11_ 12____ 13____ 14 15____ 16_______ 17 18 19 20________ 21

Chunks:

(ChunkerEvaluator) Sentence #308 from 00101519 from sent10

Text  : Pytać się to miała kogój o przyzwoleństwo , chyciła się ziemi ,_ a_ jak ta suka warowała i_ broniła swojego ,_ pewna rychłej śmierci starego i_ że Antka wezmą ,_ bo ją był o_ tym uprzedził Rocho ._
Tokens: 1____ 2__ 3_ 4____ 5____ 6 7_____________ 8 9______ 10_ 11___ 12 13 14_ 15 16__ 17______ 18 19_____ 20_____ 21 22___ 23_____ 24_____ 25_____ 26 27 28___ 29___ 30 31 32 33_ 34 35_ 36_______ 37___ 38

Chunks:
  TruePositive nam [28,28] = Antka (confidence=1.00)
  TruePositive nam [37,37] = Rocho (confidence=1.00)

(ChunkerEvaluator) Sentence #309 from 00101519 from sent11

Text  : To i komu się to miała oddać w opiekę ?_
Tokens: 1_ 2 3___ 4__ 5_ 6____ 7____ 8 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #310 from 00101519 from sent12

Text  : Kiej wiadomo , że jak się sam człowiek nie przyłoży ,_ to mu i_ Pan Jezus nie dołoży ._
Tokens: 1___ 2______ 3 4_ 5__ 6__ 7__ 8_______ 9__ 10______ 11 12 13 14 15_ 16___ 17_ 18____ 19

Chunks:
  TruePositive nam [16,16] = Jezus (confidence=0.85)

(ChunkerEvaluator) Sentence #311 from 00101519 from sent13

Text  : Nie płaczem i skamlaniem dochodzi się swego , a jeno tymi kwardymi ,_ nieustępliwymi pazurami –_ wiedziała ci ona już o_ tym ,_ wiedziała !_
Tokens: 1__ 2______ 3 4_________ 5_______ 6__ 7____ 8 9 10__ 11__ 12______ 13 14____________ 15______ 16 17_______ 18 19_ 20_ 21 22_ 23 24_______ 25

Chunks:

(ChunkerEvaluator) Sentence #312 from 00101519 from sent14

Text  : Więc choć i Antka wzieni , uspokoiła się rychło ,_ bo co poredzisz przeciw doli ,_ człowieku ?_
Tokens: 1___ 2___ 3 4____ 5_____ 6 7________ 8__ 9_____ 10 11 12 13_______ 14_____ 15__ 16 17_______ 18

Chunks:
  TruePositive nam [4,4] = Antka (confidence=1.00)

(ChunkerEvaluator) Sentence #313 from 00101519 from sent15

Text  : czym się oprzesz , kruszyno ?
Tokens: 1___ 2__ 3______ 4 5_______ 6

Chunks:

2017-06-14 20:13:32,834 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 26 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101532.xml
(ChunkerEvaluator) Sentence #314 from 00101532 from sent1

Text  : Każdy podmiot mający swoją siedzibę na terenie Wspólnoty może swobodnie ,_ bez konieczności uzyskania jakiejkolwiek zgody właściwych organów kontroli ,_ sprzedawać i_ kupować środki spożywcze od dowolnych podmiotów we Wspólnocie ._
Tokens: 1____ 2______ 3_____ 4____ 5_______ 6_ 7______ 8________ 9___ 10_______ 11 12_ 13__________ 14_______ 15___________ 16___ 17________ 18_____ 19______ 20 21________ 22 23_____ 24____ 25_______ 26 27_______ 28_______ 29 30________ 31

Chunks:
  TruePositive nam [30,30] = Wspólnocie (confidence=0.59)
  FalseNegative nam [8,8] = Wspólnoty

(ChunkerEvaluator) Sentence #315 from 00101532 from sent2

Text  : Dotyczy to importu do Polski , jak również eksportu polskich produktów do krajów Wspólnoty Europejskiej ._
Tokens: 1______ 2_ 3______ 4_ 5_____ 6 7__ 8______ 9_______ 10______ 11_______ 12 13____ 14_______ 15__________ 16

Chunks:
  TruePositive nam [5,5] = Polski (confidence=1.00)
  TruePositive nam [14,15] = Wspólnoty Europejskiej (confidence=0.99)

(ChunkerEvaluator) Sentence #316 from 00101532 from sent3

Text  : Organy sprawujące nadzór nad bezpieczeństwem żywności nie nadzorują zawierania umów kupna i_ sprzedaży dotyczących żywności ._
Tokens: 1_____ 2_________ 3_____ 4__ 5______________ 6_______ 7__ 8________ 9_________ 10__ 11___ 12 13_______ 14_________ 15______ 16

Chunks:

(ChunkerEvaluator) Sentence #317 from 00101532 from sent4

Text  : W kompetencji tych organów , czyli Inspekcji Weterynaryjnej i Państwowej Inspekcji Sanitarnej ,_ jest jedynie kontrola i_ nadzór nad spełnianiem wymagań higienicznych przez podmioty działające na rynku spożywczym oraz kontrola i_ nadzór nad tym ,_ aby sprzedawana przez te podmioty żywność spełniała wymagania zdrowotne ._
Tokens: 1 2__________ 3___ 4______ 5 6____ 7________ 8_____________ 9 10________ 11_______ 12________ 13 14__ 15_____ 16______ 17 18____ 19_ 20_________ 21_____ 22___________ 23___ 24______ 25________ 26 27___ 28________ 29__ 30______ 31 32____ 33_ 34_ 35 36_ 37_________ 38___ 39 40______ 41_____ 42_______ 43_______ 44_______ 45

Chunks:
  TruePositive nam [7,8] = Inspekcji Weterynaryjnej (confidence=0.99)
  TruePositive nam [10,12] = Państwowej Inspekcji Sanitarnej (confidence=0.84)

(ChunkerEvaluator) Sentence #318 from 00101532 from sent5

Text  : Żaden z organów kontroli żywności nie udziela zezwoleń na przywóz i_ sprzedaż na terenie Polski żywności z_ krajów członkowskich Unii Europejskiej ._
Tokens: 1____ 2 3______ 4_______ 5_______ 6__ 7______ 8_______ 9_ 10_____ 11 12______ 13 14_____ 15____ 16______ 17 18____ 19___________ 20__ 21__________ 22

Chunks:
  TruePositive nam [15,15] = Polski (confidence=0.95)
  TruePositive nam [20,21] = Unii Europejskiej (confidence=1.00)

(ChunkerEvaluator) Sentence #319 from 00101532 from sent6

Text  : W ramach Wspólnoty było by to uznane za złamanie zasady swobodnego przepływu towarów ._
Tokens: 1 2_____ 3________ 4___ 5_ 6_ 7_____ 8_ 9_______ 10____ 11________ 12_______ 13_____ 14

Chunks:
  FalseNegative nam [3,3] = Wspólnoty

(ChunkerEvaluator) Sentence #320 from 00101532 from sent7

Text  : Organy urzędowej kontroli żywności przeprowadzają kontrole urzędowe w zakładach produkcji żywności i_ obrotu żywnością zgodnie z_ planami ustalanymi na podstawie wytycznych Komisji Europejskiej ._
Tokens: 1_____ 2________ 3_______ 4_______ 5_____________ 6_______ 7_______ 8 9________ 10_______ 11______ 12 13____ 14_______ 15_____ 16 17_____ 18________ 19 20_______ 21________ 22_____ 23__________ 24

Chunks:
  TruePositive nam [22,23] = Komisji Europejskiej (confidence=0.99)

(ChunkerEvaluator) Sentence #321 from 00101532 from sent8

Text  : Kontroli podlegają m . in . znakowanie żywności , warunki przechowywania żywności oraz pobierane są próbki zgodnie z_ krajowym planem poboru próbek ._
Tokens: 1_______ 2________ 3 4 5_ 6 7_________ 8_______ 9 10_____ 11____________ 12______ 13__ 14_______ 15 16____ 17_____ 18 19______ 20____ 21____ 22____ 23

Chunks:
  FalseNegative nam [19,22] = krajowym planem poboru próbek

(ChunkerEvaluator) Sentence #322 from 00101532 from sent9

Text  : Oznacza to w praktyce , że produkt może być sprawdzony pod względem spełniania wymagań zdrowotnych przez organy Państwowej Inspekcji Sanitarnej ,_ jak również produkt pochodzenia zwierzęcego przez organy Inspekcji Weterynaryjnej ._
Tokens: 1______ 2_ 3 4_______ 5 6_ 7______ 8___ 9__ 10________ 11_ 12______ 13________ 14_____ 15_________ 16___ 17____ 18________ 19_______ 20________ 21 22_ 23_____ 24_____ 25_________ 26_________ 27___ 28____ 29_______ 30____________ 31

Chunks:
  TruePositive nam [18,20] = Państwowej Inspekcji Sanitarnej (confidence=1.00)
  TruePositive nam [29,30] = Inspekcji Weterynaryjnej (confidence=0.52)

(ChunkerEvaluator) Sentence #323 from 00101532 from sent10

Text  : Niezależnie od powyższych kontroli planowych wszelkie przypadki zgłoszone przez konsumenta ,_ media oraz inne podmioty ,_ nawet anonimowe ,_ podlegają tzw ._ kontroli interwencyjnej dokonywanej przez właściwe terenowo organy Państwowej Inspekcji Sanitarnej lub Inspekcji Weterynaryjnej ._
Tokens: 1__________ 2_ 3_________ 4_______ 5________ 6_______ 7________ 8________ 9____ 10________ 11 12___ 13__ 14__ 15______ 16 17___ 18_______ 19 20_______ 21_ 22 23______ 24____________ 25_________ 26___ 27______ 28______ 29____ 30________ 31_______ 32________ 33_ 34_______ 35____________ 36

Chunks:
  TruePositive nam [30,32] = Państwowej Inspekcji Sanitarnej (confidence=0.99)
  TruePositive nam [34,35] = Inspekcji Weterynaryjnej (confidence=0.71)

(ChunkerEvaluator) Sentence #324 from 00101532 from sent11

Text  : Jeżeli chodzi o przypadek , o który pytają panowie posłowie ,_ to w_ 2007 r_ ._ jedna puszka była przebadana na zlecenie przedsiębiorcy ,_ które dotyczyło badań mikrobiologicznych ._
Tokens: 1_____ 2_____ 3 4________ 5 6 7____ 8_____ 9______ 10______ 11 12 13 14__ 15 16 17___ 18____ 19__ 20________ 21 22______ 23____________ 24 25___ 26_______ 27___ 28________________ 29

Chunks:

(ChunkerEvaluator) Sentence #325 from 00101532 from sent12

Text  : Zlecenie to nie mogło być podstawą do tego , ażeby przedsiębiorca posługiwał się dokumentem ,_ wprowadzając produkt do obrotu ._
Tokens: 1_______ 2_ 3__ 4____ 5__ 6_______ 7_ 8___ 9 10___ 11____________ 12________ 13_ 14________ 15 16__________ 17_____ 18 19____ 20

Chunks:

(ChunkerEvaluator) Sentence #326 from 00101532 from sent13

Text  : Jeżeli chodzi o import żywności ze Szwecji , nie są wymagane tego rodzaju dokumenty ._
Tokens: 1_____ 2_____ 3 4_____ 5_______ 6_ 7______ 8 9__ 10 11______ 12__ 13_____ 14_______ 15

Chunks:
  TruePositive nam [7,7] = Szwecji (confidence=1.00)

(ChunkerEvaluator) Sentence #327 from 00101532 from sent14

Text  : Wymagane dokumenty , wystawione przez odpowiednie organy , zostały wydane przez stronę szwedzką ._
Tokens: 1_______ 2________ 3 4_________ 5____ 6__________ 7_____ 8 9______ 10____ 11___ 12____ 13______ 14

Chunks:

(ChunkerEvaluator) Sentence #328 from 00101532 from sent15

Text  : ( Dzwonek )
Tokens: 1 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #329 from 00101532 from sent16

Text  : Panie marszałku , czy mogę przedłużyć wypowiedź ?
Tokens: 1____ 2________ 3 4__ 5___ 6_________ 7________ 8

Chunks:

2017-06-14 20:13:32,925 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 27 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101539.xml
(ChunkerEvaluator) Sentence #330 from 00101539 from sent1

Text  : Czas wakacji był dobrym momentem do wprowadzenia uaktualnień oraz opracowania nowych funkcjonalności Uczelnianej Platformy e_ -_ Learningowej ._
Tokens: 1___ 2______ 3__ 4_____ 5_______ 6_ 7___________ 8__________ 9___ 10_________ 11____ 12_____________ 13_________ 14_______ 15 16 17__________ 18

Chunks:
  FalseNegative nam [13,17] = Uczelnianej Platformy e - Learningowej

(ChunkerEvaluator) Sentence #331 from 00101539 from sent2

Text  : Jedną z nich było dostosowanie Platformy Moodle dla osób słabowidzących (_ o_ innych wkrótce )_ ._
Tokens: 1____ 2 3___ 4___ 5___________ 6________ 7_____ 8__ 9___ 10____________ 11 12 13____ 14_____ 15 16

Chunks:
  FalsePositive nam [6,10] = Platformy Moodle dla osób słabowidzących (confidence=0.98) (incorrect boundry)
  FalseNegative nam [7,7] = Moodle

(ChunkerEvaluator) Sentence #332 from 00101539 from sent3

Text  : Dostosowując platformę do potrzeb osób słabowidzących przyjęli śmy następujące założenia :_
Tokens: 1___________ 2________ 3_ 4______ 5___ 6_____________ 7_______ 8__ 9__________ 10_______ 11

Chunks:

(ChunkerEvaluator) Sentence #333 from 00101539 from sent4

Text  : Wprowadzone zmiany w kodzie Moodla nie mogą utrudniać / uniemożliwiać jego uaktualnień ._
Tokens: 1__________ 2_____ 3 4_____ 5_____ 6__ 7___ 8________ 9 10___________ 11__ 12_________ 13

Chunks:
  TruePositive nam [5,5] = Moodla (confidence=0.77)

(ChunkerEvaluator) Sentence #334 from 00101539 from sent5

Text  : Generowane strony muszą być zgodne ze standardem XHTML 1 ._ 0_
Tokens: 1_________ 2_____ 3____ 4__ 5_____ 6_ 7_________ 8____ 9 10 11

Chunks:
  TruePositive nam [8,11] = XHTML 1 . 0 (confidence=0.94)

(ChunkerEvaluator) Sentence #335 from 00101539 from sent6

Text  : Rozwiązanie problemu nieczytelnych ikon Moodla .
Tokens: 1__________ 2_______ 3____________ 4___ 5_____ 6

Chunks:
  TruePositive nam [5,5] = Moodla (confidence=0.94)

(ChunkerEvaluator) Sentence #336 from 00101539 from sent7

Text  : Zastosowanie odpowiednich kontrastowych kolorów oraz umożliwienie skalowalności czcionek .
Tokens: 1___________ 2___________ 3____________ 4______ 5___ 6___________ 7____________ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #337 from 00101539 from sent8

Text  : Zrezygnowanie z grafik nieinformacyjnych oraz ograniczenie do minimum grafik informacyjnych ._
Tokens: 1____________ 2 3_____ 4________________ 5___ 6___________ 7_ 8______ 9_____ 10____________ 11

Chunks:

(ChunkerEvaluator) Sentence #338 from 00101539 from sent9

Text  : Ze względu na konieczność dokonywania częstych uaktualnień platformy Moodle nie zdecydowali śmy się na istotne zmiany w_ kodzie Moodla ._
Tokens: 1_ 2______ 3_ 4__________ 5__________ 6_______ 7__________ 8________ 9_____ 10_ 11_________ 12_ 13_ 14 15_____ 16____ 17 18____ 19____ 20

Chunks:
  TruePositive nam [9,9] = Moodle (confidence=0.90)
  TruePositive nam [19,19] = Moodla (confidence=0.83)

(ChunkerEvaluator) Sentence #339 from 00101539 from sent10

Text  : W dostosowaniu platformy dla osób słabowidzących wykorzystali śmy możliwość jaką daje opracowanie nowego szablonu graficznego ._
Tokens: 1 2___________ 3________ 4__ 5___ 6_____________ 7___________ 8__ 9________ 10__ 11__ 12_________ 13____ 14______ 15_________ 16

Chunks:

(ChunkerEvaluator) Sentence #340 from 00101539 from sent11

Text  : Dokonali śmy także modyfikacji w konfiguracji Moodla .
Tokens: 1_______ 2__ 3____ 4__________ 5 6___________ 7_____ 8

Chunks:
  FalseNegative nam [7,7] = Moodla

(ChunkerEvaluator) Sentence #341 from 00101539 from sent12

Text  : Domyślnie na platformie Moodle nie jest możliwa zmiana szablonu graficznego przez użytkownika przed dokonaniem jego autoryzacji na platformie ._
Tokens: 1________ 2_ 3_________ 4_____ 5__ 6___ 7______ 8_____ 9_______ 10_________ 11___ 12_________ 13___ 14________ 15__ 16_________ 17 18________ 19

Chunks:
  TruePositive nam [4,4] = Moodle (confidence=0.74)

(ChunkerEvaluator) Sentence #342 from 00101539 from sent13

Text  : Użytkownik może zmienić szablon dopiero po zalogowaniu , po wcześniejszym nadaniu odpowiednich uprawnień przez administratora ._
Tokens: 1_________ 2___ 3______ 4______ 5______ 6_ 7__________ 8 9_ 10___________ 11_____ 12__________ 13_______ 14___ 15____________ 16

Chunks:

(ChunkerEvaluator) Sentence #343 from 00101539 from sent14

Text  : Takie rozwiązanie powoduje iż wymagane było by stworzenie odrębnych formularzy do logowania przeznaczonych dla osób słabowidzących ._
Tokens: 1____ 2__________ 3_______ 4_ 5_______ 6___ 7_ 8_________ 9________ 10________ 11 12_______ 13____________ 14_ 15__ 16____________ 17

Chunks:

(ChunkerEvaluator) Sentence #344 from 00101539 from sent15

Text  : Ponad to użytkownik musiał by zmienić swój szablon graficzny na platformie podczas obowiązywania standardowego szablonu graficznego ,_ co może powodować dużą trudność dla osoby słabowidzącej ._
Tokens: 1____ 2_ 3_________ 4_____ 5_ 6______ 7___ 8______ 9________ 10 11________ 12_____ 13___________ 14___________ 15______ 16_________ 17 18 19__ 20_______ 21__ 22______ 23_ 24___ 25___________ 26

Chunks:

(ChunkerEvaluator) Sentence #345 from 00101539 from sent16

Text  : Z w / w względów dokonali śmy modyfikacji w konfiguracji Moodla ,_ która umożliwia zmianę szablonu graficznego platformy przed autoryzacją na platformie ._
Tokens: 1 2 3 4 5_______ 6_______ 7__ 8__________ 9 10__________ 11____ 12 13___ 14_______ 15____ 16______ 17_________ 18_______ 19___ 20_________ 21 22________ 23

Chunks:
  FalseNegative nam [11,11] = Moodla

(ChunkerEvaluator) Sentence #346 from 00101539 from sent17

Text  : Zmiana szablonu dokonana przez użytkownika obowiązuje podczas trwania bieżącej sesji przeglądarki internetowej ._
Tokens: 1_____ 2_______ 3_______ 4____ 5__________ 6_________ 7______ 8______ 9_______ 10___ 11__________ 12__________ 13

Chunks:

(ChunkerEvaluator) Sentence #347 from 00101539 from sent18

Text  : Komunikacja użytkownika z platformą Moodle odbywa się w dużym stopniu za pomocą ikon ._
Tokens: 1__________ 2__________ 3 4________ 5_____ 6_____ 7__ 8 9____ 10_____ 11 12____ 13__ 14

Chunks:
  TruePositive nam [5,5] = Moodle (confidence=0.99)

(ChunkerEvaluator) Sentence #348 from 00101539 from sent19

Text  : Rozróżnianie standardowych ikon platformy Moodle dla osób słabowidzących jest bardzo trudne ._
Tokens: 1___________ 2____________ 3___ 4________ 5_____ 6__ 7___ 8_____________ 9___ 10____ 11____ 12

Chunks:
  TruePositive nam [5,5] = Moodle (confidence=0.79)

(ChunkerEvaluator) Sentence #349 from 00101539 from sent20

Text  : Pierwszą myślą która nam się nasunęła było zamienienie standardowych bitmapowych ikon platformy na nowo opracowane ikony wektorowe o_ odpowiednim kontraście i_ odpowiednio niskim poziomie złożoności ,_ tak aby były w_ dowolny sposób skalowalne i_ bez problemu rozróżnialne dla osób słabowidzących ._
Tokens: 1_______ 2____ 3____ 4__ 5__ 6_______ 7___ 8__________ 9____________ 10_________ 11__ 12_______ 13 14__ 15________ 16___ 17_______ 18 19_________ 20________ 21 22_________ 23____ 24______ 25________ 26 27_ 28_ 29__ 30 31_____ 32____ 33________ 34 35_ 36______ 37__________ 38_ 39__ 40____________ 41

Chunks:

(ChunkerEvaluator) Sentence #350 from 00101539 from sent21

Text  : Nie udało się nam jednak tego zrealizować ze względu na nasze pierwsze założenie (_ uaktualnienia moodla )_ ._
Tokens: 1__ 2____ 3__ 4__ 5_____ 6___ 7__________ 8_ 9______ 10 11___ 12______ 13_______ 14 15___________ 16____ 17 18

Chunks:
  FalseNegative nam [16,16] = moodla

(ChunkerEvaluator) Sentence #351 from 00101539 from sent22

Text  : Ikony na platformie moodle zdefiniowane są w obrębie samej aplikacji oraz modułów Moodla ._
Tokens: 1____ 2_ 3_________ 4_____ 5___________ 6_ 7 8______ 9____ 10_______ 11__ 12_____ 13____ 14

Chunks:
  TruePositive nam [13,13] = Moodla (confidence=0.83)

(ChunkerEvaluator) Sentence #352 from 00101539 from sent23

Text  : Przedefiniowanie ikon na wektorowe wymagało by istotnych zmian w kodzie Moodla ,_ które musiały by być uwzględniane podczas każdej aktualizacji platformy ._
Tokens: 1_______________ 2___ 3_ 4________ 5_______ 6_ 7________ 8____ 9 10____ 11____ 12 13___ 14_____ 15 16_ 17__________ 18_____ 19____ 20__________ 21_______ 22

Chunks:
  TruePositive nam [11,11] = Moodla (confidence=0.82)

(ChunkerEvaluator) Sentence #353 from 00101539 from sent24

Text  : W chwili obecnej przyjęli śmy inne rozwiązanie – ograniczyli śmy do minimum ikony wykorzystywane w_ systemie ._
Tokens: 1 2_____ 3______ 4_______ 5__ 6___ 7__________ 8 9__________ 10_ 11 12_____ 13___ 14____________ 15 16______ 17

Chunks:

(ChunkerEvaluator) Sentence #354 from 00101539 from sent25

Text  : Zbędne usunęli śmy , tak aby nie wprowadzały nieczytelnej informacji a_ bezwzględnie wymagane zamienili śmy na nowe jednokolorowe ikony o_ wysokim kontraście i_ bardzo symbolicznym wyglądzie ,_ oraz na skróty literowe ._
Tokens: 1_____ 2______ 3__ 4 5__ 6__ 7__ 8__________ 9___________ 10________ 11 12__________ 13______ 14_______ 15_ 16 17__ 18___________ 19___ 20 21_____ 22________ 23 24____ 25__________ 26_______ 27 28__ 29 30____ 31______ 32

Chunks:

(ChunkerEvaluator) Sentence #355 from 00101539 from sent26

Text  : Opisy wszystkich wykorzystywanych na platformie ikon i skrótów umieścili śmy w_ stopce strony ._
Tokens: 1____ 2_________ 3_______________ 4_ 5_________ 6___ 7 8______ 9________ 10_ 11 12____ 13____ 14

Chunks:

2017-06-14 20:13:33,035 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 28 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101585.xml
(ChunkerEvaluator) Sentence #356 from 00101585 from sent1

Text  : Jeżeli chodzi o pytania pana posła Pawlaka , to chcę zwrócić uwagę na fakt ,_ że udział funkcjonariuszy celnych musi dotyczyć konkretnego postępowania ,_ to znaczy musi to być sytuacja ,_ w_ której albo mamy do czynienia z_ udziałem obywateli polskich w_ działaniach na terenie Słowenii ,_ albo istnieje związek pomiędzy Polską a_ terytorium Słowenii ,_ związany np ._ z_ przemytem towarów :_ narkotyków ,_ towarów akcyzowych czy innych ,_ gdzie właściwe były by działania służb ._
Tokens: 1_____ 2_____ 3 4______ 5___ 6____ 7______ 8 9_ 10__ 11_____ 12___ 13 14__ 15 16 17____ 18_____________ 19_____ 20__ 21______ 22_________ 23__________ 24 25 26____ 27__ 28 29_ 30______ 31 32 33____ 34__ 35__ 36 37_______ 38 39______ 40_______ 41______ 42 43_________ 44 45_____ 46______ 47 48__ 49______ 50_____ 51______ 52____ 53 54________ 55______ 56 57______ 58 59 60 61_______ 62_____ 63 64________ 65 66_____ 67________ 68_ 69____ 70 71___ 72______ 73__ 74 75_______ 76___ 77

Chunks:
  TruePositive nam [7,7] = Pawlaka (confidence=1.00)
  TruePositive nam [46,46] = Słowenii (confidence=1.00)
  TruePositive nam [52,52] = Polską (confidence=1.00)
  TruePositive nam [55,55] = Słowenii (confidence=1.00)

(ChunkerEvaluator) Sentence #357 from 00101585 from sent2

Text  : Wówczas przepisy umowy regulują sposób udzielania pomocy i umożliwiają udział funkcjonariuszy ._
Tokens: 1______ 2_______ 3____ 4_______ 5_____ 6_________ 7_____ 8 9__________ 10____ 11_____________ 12

Chunks:

(ChunkerEvaluator) Sentence #358 from 00101585 from sent3

Text  : Natomiast skonkretyzowanie tego udziału – czy to będzie jeden funkcjonariusz ,_ czy grupa ,_ a_ może raczej biegli ,_ którzy będą mogli się zapoznać z_ materiałem dowodowym –_ będzie uzależnione od danego stanu faktycznego ._
Tokens: 1________ 2_______________ 3___ 4______ 5 6__ 7_ 8_____ 9____ 10____________ 11 12_ 13___ 14 15 16__ 17____ 18____ 19 20____ 21__ 22___ 23_ 24______ 25 26________ 27_______ 28 29____ 30_________ 31 32____ 33___ 34_________ 35

Chunks:

(ChunkerEvaluator) Sentence #359 from 00101585 from sent4

Text  : Jeżeli chodzi o przekazywanie wiadomości niejawnych , to tutaj oczywiście obowiązuje zasada stosowania ustawodawstwa krajowego oraz odpowiednich umów międzynarodowych ,_ a_ więc w_ tym zakresie będzie można stosować te przepisy w_ zależności od rodzaju klauzuli ._
Tokens: 1_____ 2_____ 3 4____________ 5_________ 6_________ 7 8_ 9____ 10________ 11________ 12____ 13________ 14___________ 15_______ 16__ 17__________ 18__ 19______________ 20 21 22__ 23 24_ 25______ 26____ 27___ 28______ 29 30______ 31 32________ 33 34_____ 35______ 36

Chunks:

(ChunkerEvaluator) Sentence #360 from 00101585 from sent5

Text  : Jeżeli to będą klauzule wewnętrzne , to organ , który nadał tę klauzulę ,_ musi zadecydować ,_ czy istnieje podstawa prawna do przekazania takich wiadomości ._
Tokens: 1_____ 2_ 3___ 4_______ 5_________ 6 7_ 8____ 9 10___ 11___ 12 13______ 14 15__ 16_________ 17 18_ 19______ 20______ 21____ 22 23_________ 24____ 25________ 26

Chunks:

(ChunkerEvaluator) Sentence #361 from 00101585 from sent6

Text  : Jeżeli będą to klauzule unijne , to wtedy są one dostępne dla wszystkich państw członkowskich Unii Europejskiej ._
Tokens: 1_____ 2___ 3_ 4_______ 5_____ 6 7_ 8____ 9_ 10_ 11______ 12_ 13________ 14____ 15___________ 16__ 17__________ 18

Chunks:
  TruePositive nam [16,17] = Unii Europejskiej (confidence=1.00)

(ChunkerEvaluator) Sentence #362 from 00101585 from sent7

Text  : Jeśli chodzi o załącznik , to już pan poseł Wikiński wstępnie wyjaśnił ,_ że taki dokument istnieje ._
Tokens: 1____ 2_____ 3 4________ 5 6_ 7__ 8__ 9____ 10______ 11______ 12______ 13 14 15__ 16______ 17______ 18

Chunks:
  TruePositive nam [10,10] = Wikiński (confidence=1.00)

(ChunkerEvaluator) Sentence #363 from 00101585 from sent8

Text  : W związku z tym przejdę do szczegółowej treści pytania pana posła Wikińskiego ,_ dotyczącego szczególnej sytuacji opisanej w_ pkt 2_ niniejszego załącznika stanowiącego część umowy ,_ a_ więc będącego wiążącą normą prawną ,_ która odsyła do postanowień przepisów wewnętrznych przy wszystkich ograniczeniach związanych ze zbieraniem i_ przetwarzaniem danych ._
Tokens: 1 2______ 3 4__ 5______ 6_ 7___________ 8_____ 9______ 10__ 11___ 12_________ 13 14_________ 15_________ 16______ 17______ 18 19_ 20 21_________ 22________ 23__________ 24___ 25___ 26 27 28__ 29______ 30_____ 31___ 32____ 33 34___ 35____ 36 37_________ 38_______ 39__________ 40__ 41________ 42____________ 43________ 44 45________ 46 47____________ 48____ 49

Chunks:
  TruePositive nam [12,12] = Wikińskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #364 from 00101585 from sent9

Text  : Trzeba podkreślić , że ustawodawstwo wewnętrzne w Polsce ogranicza możliwość zbierania danych osobowych dotyczących zdrowia lub życia seksualnego oraz ich automatycznego przetwarzania ,_ czyli umieszczania w_ bazach danych ,_ które były by dostępne dla przeróżnych organów ._
Tokens: 1_____ 2_________ 3 4_ 5____________ 6_________ 7 8_____ 9________ 10_______ 11_______ 12____ 13_______ 14_________ 15_____ 16_ 17___ 18_________ 19__ 20_ 21____________ 22___________ 23 24___ 25__________ 26 27____ 28____ 29 30___ 31__ 32 33______ 34_ 35_________ 36_____ 37

Chunks:
  TruePositive nam [8,8] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #365 from 00101585 from sent10

Text  : Czyli należało by odczytać ten zapis w ten sposób ,_ że jest to doprecyzowujący wyjątek od pkt 1_ niniejszego załącznika ._
Tokens: 1____ 2_______ 3_ 4_______ 5__ 6____ 7 8__ 9_____ 10 11 12__ 13 14_____________ 15_____ 16 17_ 18 19_________ 20________ 21

Chunks:

(ChunkerEvaluator) Sentence #366 from 00101585 from sent11

Text  : Wszystkie inne dane wymienione w pkt 1 mogą być poddawane przetwarzaniu automatycznemu ,_ natomiast pozostałe ,_ o_ ile w_ ogóle ustawodawstwo wewnętrzne dopuszcza zbieranie tego typu danych ,_ nie mogą być przetwarzane w_ systemach elektronicznych ._
Tokens: 1________ 2___ 3___ 4_________ 5 6__ 7 8___ 9__ 10_______ 11___________ 12____________ 13 14_______ 15_______ 16 17 18_ 19 20___ 21___________ 22________ 23_______ 24_______ 25__ 26__ 27____ 28 29_ 30__ 31_ 32__________ 33 34_______ 35_____________ 36

Chunks:

(ChunkerEvaluator) Sentence #367 from 00101585 from sent12

Text  : ( Poseł Marek Wikiński : Możemy być spokojni ? )_
Tokens: 1 2____ 3____ 4_______ 5 6_____ 7__ 8_______ 9 10

Chunks:
  TruePositive nam [3,4] = Marek Wikiński (confidence=1.00)

(ChunkerEvaluator) Sentence #368 from 00101585 from sent13

Text  : Możemy być spokojni .
Tokens: 1_____ 2__ 3_______ 4

Chunks:

(ChunkerEvaluator) Sentence #369 from 00101585 from sent14

Text  : Dziękuję bardzo .
Tokens: 1_______ 2_____ 3

Chunks:

(ChunkerEvaluator) Sentence #370 from 00101585 from sent15

Text  : Wicemarszałek Krzysztof Putra :
Tokens: 1____________ 2________ 3____ 4

Chunks:
  TruePositive nam [2,3] = Krzysztof Putra (confidence=1.00)

(ChunkerEvaluator) Sentence #371 from 00101585 from sent16

Text  : Dziękuję bardzo panu ministrowi .
Tokens: 1_______ 2_____ 3___ 4_________ 5

Chunks:

(ChunkerEvaluator) Sentence #372 from 00101585 from sent17

Text  : Zamykam dyskusję .
Tokens: 1______ 2_______ 3

Chunks:

(ChunkerEvaluator) Sentence #373 from 00101585 from sent18

Text  : Do trzeciego czytania projektu ustawy przystąpimy w bloku głosowań ._
Tokens: 1_ 2________ 3_______ 4_______ 5_____ 6__________ 7 8____ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #374 from 00101585 from sent19

Text  : Przystępujemy do rozpatrzenia punktu 8 porządku dziennego : Sprowadzanie Komisji Sprawiedliwości i_ Praw Człowieka oraz Komisji Spraw Zagranicznych o_ rządowym projekcie ustawy o_ ratyfikacji Konwencji Rady Europy w_ sprawie działań przeciwko handlowi ludźmi ,_ sporządzonej w_ Warszawie dnia 16 maja 2005 r_ ._ (_ druki nr 374 i_ 420 )_ ._
Tokens: 1____________ 2_ 3___________ 4_____ 5 6_______ 7________ 8 9___________ 10_____ 11_____________ 12 13__ 14_______ 15__ 16_____ 17___ 18___________ 19 20______ 21_______ 22____ 23 24_________ 25_______ 26__ 27____ 28 29_____ 30_____ 31_______ 32______ 33____ 34 35__________ 36 37_______ 38__ 39 40__ 41__ 42 43 44 45___ 46 47_ 48 49_ 50 51

Chunks:
  TruePositive nam [10,14] = Komisji Sprawiedliwości i Praw Człowieka (confidence=0.69)
  TruePositive nam [16,18] = Komisji Spraw Zagranicznych (confidence=1.00)
  TruePositive nam [37,37] = Warszawie (confidence=1.00)
  FalsePositive nam [25,27] = Konwencji Rady Europy (confidence=1.00) (incorrect boundry)
  FalseNegative nam [25,33] = Konwencji Rady Europy w sprawie działań przeciwko handlowi ludźmi

(ChunkerEvaluator) Sentence #375 from 00101585 from sent20

Text  : Proszę o zabranie głosu sprawozdawcę komisji pana posła Jarosława Wałęsę ._
Tokens: 1_____ 2 3_______ 4____ 5___________ 6______ 7___ 8____ 9________ 10____ 11

Chunks:
  TruePositive nam [9,10] = Jarosława Wałęsę (confidence=1.00)

(ChunkerEvaluator) Sentence #376 from 00101585 from sent21

Text  : Bardzo proszę , panie pośle .
Tokens: 1_____ 2_____ 3 4____ 5____ 6

Chunks:

2017-06-14 20:13:33,163 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 29 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101606.xml
(ChunkerEvaluator) Sentence #377 from 00101606 from sent1

Text  : Nagle ze szczytów wzgórz odległych ostatnie znikły słońca promienie ,_ a_ zarazem świetne barwy pięknego obłoku przygasać poczęły ._
Tokens: 1____ 2_ 3_______ 4_____ 5________ 6_______ 7_____ 8_____ 9________ 10 11 12_____ 13_____ 14___ 15______ 16____ 17_______ 18_____ 19

Chunks:

(ChunkerEvaluator) Sentence #378 from 00101606 from sent2

Text  : Naprzód złocisty hełm pociemniał jakby rdzą pokryty , potem purpura szaty rozwiewnej zbladła i_ mętną oblała się żółtością ,_ na koniec skrzydła srebrne w_ dół się opuściły i_ brudnopopielatej nabrały barwy ._
Tokens: 1______ 2_______ 3___ 4_________ 5____ 6___ 7______ 8 9____ 10_____ 11___ 12________ 13_____ 14 15___ 16____ 17_ 18_______ 19 20 21____ 22______ 23_____ 24 25_ 26_ 27______ 28 29______________ 30_____ 31___ 32

Chunks:

(ChunkerEvaluator) Sentence #379 from 00101606 from sent3

Text  : Mimo to jednak obłok jak rycerz odarty z purpury i_ zbroi kroczył jeszcze chwil kilka po sklepieniu z_ wolna ,_ wspaniale ._
Tokens: 1___ 2_ 3_____ 4____ 5__ 6_____ 7_____ 8 9______ 10 11___ 12_____ 13_____ 14___ 15___ 16 17________ 18 19___ 20 21_______ 22

Chunks:

(ChunkerEvaluator) Sentence #380 from 00101606 from sent4

Text  : Lecz z nagła powiał wiatr silniejszy , zwiastun zapewne nadchodzącej nocy ,_ a_ obłok pod niebem zachwiał się i_ rozrzedził ._
Tokens: 1___ 2 3____ 4_____ 5____ 6_________ 7 8_______ 9______ 10__________ 11__ 12 13 14___ 15_ 16____ 17______ 18_ 19 20________ 21

Chunks:

(ChunkerEvaluator) Sentence #381 from 00101606 from sent5

Text  : Nie rozprzągł się jednak zupełnie , tylko gdy się już znalazł na samym środku sklepienia ,_ zamiast do rycerza —_ bohatera podobnym był do kaleki —_ żebraka ,_ z_ którego brudne i_ podarte opadają szmaty ._
Tokens: 1__ 2________ 3__ 4_____ 5_______ 6 7____ 8__ 9__ 10_ 11_____ 12 13___ 14____ 15________ 16 17_____ 18 19_____ 20 21______ 22______ 23_ 24 25____ 26 27_____ 28 29 30_____ 31____ 32 33_____ 34_____ 35____ 36

Chunks:

(ChunkerEvaluator) Sentence #382 from 00101606 from sent6

Text  : Odwróciła m spojrzenie od obłoku , który świetny , gdy na nim grały blaski słoneczne ,_ tak brzydkim stał się ,_ gdy go odstąpił połysk pożyczany ,_ i_ potoczywszy okiem dalej po sklepieniu spotkała m_ w_ górze wielkiego czarnego ptaka ,_ który kołysał się w_ powietrzu z_ poważną swobodą pomiędzy dwoma popielatymi chmurkami pod kawałkiem czystego błękitu ._
Tokens: 1________ 2 3_________ 4_ 5_____ 6 7____ 8______ 9 10_ 11 12_ 13___ 14____ 15_______ 16 17_ 18______ 19__ 20_ 21 22_ 23 24______ 25____ 26_______ 27 28 29_________ 30___ 31___ 32 33________ 34______ 35 36 37___ 38_______ 39______ 40___ 41 42___ 43_____ 44_ 45 46_______ 47 48_____ 49_____ 50______ 51___ 52_________ 53_______ 54_ 55_______ 56______ 57_____ 58

Chunks:

(ChunkerEvaluator) Sentence #383 from 00101606 from sent7

Text  : Po chwili rozpuszczone skrzydła ptaka uniosły go daleko od chmurek towarzyszek i_ z_ wolna ,_ wspaniale szybował w_ powietrzu ,_ to spuszczając się nieco ,_ to znowu podnosząc ,_ jakby mu tęskno było porzucać dla ziemi nieba sąsiedztwo ._
Tokens: 1_ 2_____ 3___________ 4_______ 5____ 6______ 7_ 8_____ 9_ 10_____ 11_________ 12 13 14___ 15 16_______ 17______ 18 19_______ 20 21 22_________ 23_ 24___ 25 26 27___ 28_______ 29 30___ 31 32____ 33__ 34______ 35_ 36___ 37___ 38________ 39

Chunks:

(ChunkerEvaluator) Sentence #384 from 00101606 from sent8

Text  : " Ten ptak — pomyślała m — to może orzeł ,_ w_ krainie naszej zbłąkany ,_ z_ dalekich stron przybyły ,_ szlachetny król ptaków ,_ co sam jeden w_ dziedzinie żyjących zuchwałym okiem w_ słońce patrzeć zdolen ,_ którego gniazdo w_ górach niebotycznych usłane ,_ a_ skrzydła rozpięte na rycerskich sztandarach i_ nad dumnymi monarchów czołami "_ ._
Tokens: 1 2__ 3___ 4 5________ 6 7 8_ 9___ 10___ 11 12 13_____ 14____ 15______ 16 17 18______ 19___ 20______ 21 22________ 23__ 24____ 25 26 27_ 28___ 29 30________ 31______ 32_______ 33___ 34 35____ 36_____ 37____ 38 39_____ 40_____ 41 42____ 43___________ 44____ 45 46 47______ 48______ 49 50________ 51_________ 52 53_ 54_____ 55_______ 56_____ 57 58

Chunks:

(ChunkerEvaluator) Sentence #385 from 00101606 from sent9

Text  : Myśląc tak patrzyła m na wielkiego czarnego ptaka i lot jego wysoki ścigała m_ spojrzeniem ._
Tokens: 1_____ 2__ 3_______ 4 5_ 6________ 7_______ 8____ 9 10_ 11__ 12____ 13_____ 14 15_________ 16

Chunks:

(ChunkerEvaluator) Sentence #386 from 00101606 from sent10

Text  : Po chwili czarny ptak począł się zniżać ku ziemi ,_ lot jego stawał się coraz mniej majestatyczny ,_ ociężalszy ,_ pozbawiony wdzięku i_ powagi ,_ aż na koniec ujrzała m_ go sąsiadującego na gałęzi pobliskiej topoli i_ poznała m_ w_ nim —_ kruka ._
Tokens: 1_ 2_____ 3_____ 4___ 5_____ 6__ 7_____ 8_ 9____ 10 11_ 12__ 13____ 14_ 15___ 16___ 17___________ 18 19________ 20 21________ 22_____ 23 24____ 25 26 27 28____ 29_____ 30 31 32___________ 33 34____ 35________ 36____ 37 38_____ 39 40 41_ 42 43___ 44

Chunks:

(ChunkerEvaluator) Sentence #387 from 00101606 from sent11

Text  : Zamiast górskiego monarchy , na podniebnych wyhodowanego szczytach , przed wzrokiem moim zawisł podły ptak ,_ wytuczony zwłokami umarłych zwierząt ;_ zamiast hardego symbolu królów i_ rycerzy ujrzała m_ godło złodziei i_ żarłoków ._
Tokens: 1______ 2________ 3_______ 4 5_ 6__________ 7___________ 8________ 9 10___ 11______ 12__ 13____ 14___ 15__ 16 17_______ 18______ 19______ 20______ 21 22_____ 23_____ 24_____ 25____ 26 27_____ 28_____ 29 30___ 31______ 32 33______ 34

Chunks:

(ChunkerEvaluator) Sentence #388 from 00101606 from sent12

Text  : I było mi coraz smutniej .
Tokens: 1 2___ 3_ 4____ 5_______ 6

Chunks:

2017-06-14 20:13:33,264 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 30 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101646.xml
(ChunkerEvaluator) Sentence #389 from 00101646 from sent1

Text  : Jeśli chodzi o pytania pana posła Milcarza , to padła jedna pana uwaga ,_ że konferencja w_ Poznaniu stała się spotkaniem towarzyskim ._
Tokens: 1____ 2_____ 3 4______ 5___ 6____ 7_______ 8 9_ 10___ 11___ 12__ 13___ 14 15 16_________ 17 18______ 19___ 20_ 21________ 22_________ 23

Chunks:
  TruePositive nam [7,7] = Milcarza (confidence=1.00)
  TruePositive nam [18,18] = Poznaniu (confidence=1.00)

(ChunkerEvaluator) Sentence #390 from 00101646 from sent2

Text  : Nie zgodził by m się z tym .
Tokens: 1__ 2______ 3_ 4 5__ 6 7__ 8

Chunks:

(ChunkerEvaluator) Sentence #391 from 00101646 from sent3

Text  : Nie była to konferencja , która miała doprowadzić do nowego porozumienia ,_ bo nie było to absolutnie możliwe ,_ nie było to w_ planach ._
Tokens: 1__ 2___ 3_ 4__________ 5 6____ 7____ 8__________ 9_ 10____ 11__________ 12 13 14_ 15__ 16 17________ 18_____ 19 20_ 21__ 22 23 24_____ 25

Chunks:

(ChunkerEvaluator) Sentence #392 from 00101646 from sent4

Text  : Według Bali Action Plan przewidziano 2 lata , time schedule ,_ na dochodzenie do tego ._
Tokens: 1_____ 2___ 3_____ 4___ 5___________ 6 7___ 8 9___ 10______ 11 12 13_________ 14 15__ 16

Chunks:
  TruePositive nam [2,4] = Bali Action Plan (confidence=0.78)

(ChunkerEvaluator) Sentence #393 from 00101646 from sent5

Text  : Poznań miał doprowadzić do pewnych szczegółowych ustaleń .
Tokens: 1_____ 2___ 3__________ 4_ 5______ 6____________ 7______ 8

Chunks:
  FalseNegative nam [1,1] = Poznań

(ChunkerEvaluator) Sentence #394 from 00101646 from sent6

Text  : Największy nacisk położyli śmy na przykład na adaptację do zmian klimatycznych ._
Tokens: 1_________ 2_____ 3_______ 4__ 5_ 6_______ 7_ 8________ 9_ 10___ 11___________ 12

Chunks:

(ChunkerEvaluator) Sentence #395 from 00101646 from sent7

Text  : Fundusz Adaptacyjny , który w Bali był zapisany tylko na papierze ,_ został w_ Poznaniu tak uszczegółowiony –_ wszystkie jego zasady pracy –_ że później ,_ w_ ciągu następnych 3_ miesięcy ,_ mógł już być ustanowiony ._
Tokens: 1______ 2__________ 3 4____ 5 6___ 7__ 8_______ 9____ 10 11______ 12 13____ 14 15______ 16_ 17_____________ 18 19_______ 20__ 21____ 22___ 23 24 25_____ 26 27 28___ 29________ 30 31______ 32 33__ 34_ 35_ 36_________ 37

Chunks:
  TruePositive nam [1,2] = Fundusz Adaptacyjny (confidence=1.00)
  TruePositive nam [6,6] = Bali (confidence=0.98)
  TruePositive nam [15,15] = Poznaniu (confidence=1.00)

(ChunkerEvaluator) Sentence #396 from 00101646 from sent8

Text  : On jest narzędziem służącym do przyjmowania projektów .
Tokens: 1_ 2___ 3_________ 4_______ 5_ 6___________ 7________ 8

Chunks:

(ChunkerEvaluator) Sentence #397 from 00101646 from sent9

Text  : Ponadto powstał bardzo konkretny poznański pakiet transferu technologii , opracowane zostały zasady transferu technologii ._
Tokens: 1______ 2______ 3_____ 4________ 5________ 6_____ 7________ 8__________ 9 10________ 11_____ 12____ 13_______ 14_________ 15

Chunks:

(ChunkerEvaluator) Sentence #398 from 00101646 from sent10

Text  : Jest to poznański pakiet , tak to zostało zapisane ._
Tokens: 1___ 2_ 3________ 4_____ 5 6__ 7_ 8______ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #399 from 00101646 from sent11

Text  : Został zanotowany duży postęp metodyczny , jeśli chodzi o LULUCF ,_ metodykę wyliczania absorpcji CO2 w_ wyniku albo wylesiania ,_ albo zalesiania ,_ zmiany gruntów ,_ bo chodzi o_ land use ,_ tam jest mowa nie tylko o_ lasach ,_ ale również o_ terenach rolniczych i_ o_ tym ,_ w_ jaki sposób można to uwzględnić w_ całym bilansie węgla ._
Tokens: 1_____ 2_________ 3___ 4_____ 5_________ 6 7____ 8_____ 9 10____ 11 12______ 13________ 14_______ 15_ 16 17____ 18__ 19________ 20 21__ 22________ 23 24____ 25_____ 26 27 28____ 29 30__ 31_ 32 33_ 34__ 35__ 36_ 37___ 38 39____ 40 41_ 42_____ 43 44______ 45________ 46 47 48_ 49 50 51__ 52____ 53___ 54 55________ 56 57___ 58______ 59___ 60

Chunks:
  FalsePositive nam [10,10] = LULUCF (confidence=0.99) (incorrect boundry)
  FalsePositive nam [15,15] = CO2 (confidence=0.86) (incorrect boundry)

(ChunkerEvaluator) Sentence #400 from 00101646 from sent12

Text  : Po raz pierwszy została tam przedstawiona propozycja REDD , czyli ograniczania wylesiania w_ takiej formie ,_ bo oczywiście to przez lata było lejtmotywem ,_ natomiast skonkretyzowane zostało w_ Poznaniu ._
Tokens: 1_ 2__ 3_______ 4______ 5__ 6____________ 7_________ 8___ 9 10___ 11__________ 12________ 13 14____ 15____ 16 17 18________ 19 20___ 21__ 22__ 23_________ 24 25_______ 26_____________ 27_____ 28 29______ 30

Chunks:
  TruePositive nam [8,8] = REDD (confidence=0.97)
  TruePositive nam [29,29] = Poznaniu (confidence=1.00)

(ChunkerEvaluator) Sentence #401 from 00101646 from sent13

Text  : I jeszcze jedno : capacity building , została dopisana możliwość absorpcji środków ._
Tokens: 1 2______ 3____ 4 5_______ 6_______ 7 8______ 9_______ 10_______ 11_______ 12_____ 13

Chunks:

(ChunkerEvaluator) Sentence #402 from 00101646 from sent14

Text  : Na początku konferencji były tylko 4 building blocks , a_ to zostało dopisane jako bardzo ważny element ._
Tokens: 1_ 2_______ 3__________ 4___ 5____ 6 7_______ 8_____ 9 10 11 12_____ 13______ 14__ 15____ 16___ 17_____ 18

Chunks:

(ChunkerEvaluator) Sentence #403 from 00101646 from sent15

Text  : Zresztą osobiście bardzo zabiegał em o to , jako nauczyciel akademicki ,_ ponieważ za pomocą niedużych środków można doprowadzić do znacznego postępu wśród młodej miejscowej ludności ,_ aby była w_ stanie zaabsorbować środki ,_ które mają napłynąć do tych krajów ._
Tokens: 1______ 2________ 3_____ 4_______ 5_ 6 7_ 8 9___ 10________ 11________ 12 13______ 14 15____ 16_______ 17_____ 18___ 19_________ 20 21_______ 22_____ 23___ 24____ 25________ 26______ 27 28_ 29__ 30 31____ 32__________ 33____ 34 35___ 36__ 37______ 38 39__ 40____ 41

Chunks:

(ChunkerEvaluator) Sentence #404 from 00101646 from sent16

Text  : Po pierwsze , te pieniądze powinny napłynąć , a po drugie ,_ trzeba je wykorzystać ._
Tokens: 1_ 2_______ 3 4_ 5________ 6______ 7_______ 8 9 10 11____ 12 13____ 14 15_________ 16

Chunks:

(ChunkerEvaluator) Sentence #405 from 00101646 from sent17

Text  : Nie korupcyjnie , nie na zbrojenia , ale we właściwy sposób ._
Tokens: 1__ 2__________ 3 4__ 5_ 6________ 7 8__ 9_ 10______ 11____ 12

Chunks:

(ChunkerEvaluator) Sentence #406 from 00101646 from sent18

Text  : Do tego są tam potrzebni miejscowi ludzie .
Tokens: 1_ 2___ 3_ 4__ 5________ 6________ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #407 from 00101646 from sent19

Text  : Przy stosunkowo małych pieniądzach można to robić i dlatego to było bardzo mocno postawione na konferencji poznańskiej ._
Tokens: 1___ 2_________ 3_____ 4__________ 5____ 6_ 7____ 8 9______ 10 11__ 12____ 13___ 14________ 15 16_________ 17_________ 18

Chunks:

(ChunkerEvaluator) Sentence #408 from 00101646 from sent20

Text  : Jeśli chodzi o pytania , to dziękuję panu posłowi Krzyśków za przedstawione uwagi ._
Tokens: 1____ 2_____ 3 4______ 5 6_ 7_______ 8___ 9______ 10______ 11 12___________ 13___ 14

Chunks:
  TruePositive nam [10,10] = Krzyśków (confidence=1.00)

(ChunkerEvaluator) Sentence #409 from 00101646 from sent21

Text  : Nie zanotował em jednak jakiejś konkretnej uwagi , do której mógł by m_ się odnieść ._
Tokens: 1__ 2________ 3_ 4_____ 5______ 6_________ 7____ 8 9_ 10____ 11__ 12 13 14_ 15_____ 16

Chunks:

(ChunkerEvaluator) Sentence #410 from 00101646 from sent22

Text  : ( Poseł Adam Krzyśków : Róbcie to razem . )_
Tokens: 1 2____ 3___ 4_______ 5 6_____ 7_ 8____ 9 10

Chunks:
  TruePositive nam [3,4] = Adam Krzyśków (confidence=0.99)

(ChunkerEvaluator) Sentence #411 from 00101646 from sent23

Text  : Tak , róbcie to razem .
Tokens: 1__ 2 3_____ 4_ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #412 from 00101646 from sent24

Text  : Ja i pan prof . Szyszko rozmawiamy i cenimy siebie ._
Tokens: 1_ 2 3__ 4___ 5 6______ 7_________ 8 9_____ 10____ 11

Chunks:
  TruePositive nam [6,6] = Szyszko (confidence=0.95)

(ChunkerEvaluator) Sentence #413 from 00101646 from sent25

Text  : Uważam , że każdy z nas robi to , co Polsce jest naprawdę potrzebne ._
Tokens: 1_____ 2 3_ 4____ 5 6__ 7___ 8_ 9 10 11____ 12__ 13______ 14_______ 15

Chunks:
  TruePositive nam [11,11] = Polsce (confidence=0.99)

2017-06-14 20:13:33,382 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 31 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101804.xml
(ChunkerEvaluator) Sentence #414 from 00101804 from sent1

Text  : Mam taką listę ważkich tematów do poruszenia , ale właśnie przeczytał em wiadomość o_ czymś tak nieistotnym (_ w_ porównaniu z_ ,_ powiedzmy ,_ intronizacją Chrystusa Króla )_ i_ tak mało interesującym (_ w_ przeciwieństwie do ,_ dajmy na to ,_ rozważań na temat dalszych losów zawodowej kariery Atrakcyjnego Kazimierza )_ ,_ że muszę się z_ Państwem tym podzielić ._
Tokens: 1__ 2___ 3____ 4______ 5______ 6_ 7_________ 8 9__ 10_____ 11________ 12 13_______ 14 15___ 16_ 17_________ 18 19 20________ 21 22 23_______ 24 25__________ 26_______ 27___ 28 29 30_ 31__ 32___________ 33 34 35_____________ 36 37 38___ 39 40 41 42______ 43 44___ 45______ 46___ 47_______ 48_____ 49__________ 50________ 51 52 53 54___ 55_ 56 57______ 58_ 59_______ 60

Chunks:
  TruePositive nam [26,27] = Chrystusa Króla (confidence=0.90)
  TruePositive nam [49,50] = Atrakcyjnego Kazimierza (confidence=0.98)

(ChunkerEvaluator) Sentence #415 from 00101804 from sent2

Text  : Otóż Chiny i Południowa Korea zamierzają wprowadzić u siebie obowiązek instalowania w_ telefonach standardowej wtyczki USB jako podłączenia ładowarki i_ portów komunikacyjnych ._
Tokens: 1___ 2____ 3 4_________ 5____ 6_________ 7_________ 8 9_____ 10_______ 11__________ 12 13________ 14__________ 15_____ 16_ 17__ 18_________ 19_______ 20 21____ 22_____________ 23

Chunks:
  TruePositive nam [2,2] = Chiny (confidence=1.00)
  TruePositive nam [4,5] = Południowa Korea (confidence=0.99)
  FalsePositive nam [16,16] = USB (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #416 from 00101804 from sent3

Text  : Innymi słowy - koniec z pytaniami " Kto ma ładowarkę do Motoroli ?_ "_ (_ nikt nie ma )_ ,_ koniec ze sprawdzaniem czy moja wtyczka od Samsunga sprzed czterech lat pasuje do Samsunga kupionego wczoraj (_ nie pasuje )_ ,_ koniec ze stertą kabli w_ biurku do podłączania wszystkich przeszłych i_ przyszłych Sony Ericssonów ,_ Nokii i_ Sagemów ._
Tokens: 1_____ 2____ 3 4_____ 5 6________ 7 8__ 9_ 10_______ 11 12______ 13 14 15 16__ 17_ 18 19 20 21____ 22 23__________ 24_ 25__ 26_____ 27 28______ 29____ 30______ 31_ 32____ 33 34______ 35_______ 36_____ 37 38_ 39____ 40 41 42____ 43 44____ 45___ 46 47____ 48 49_________ 50________ 51________ 52 53________ 54__ 55________ 56 57___ 58 59_____ 60

Chunks:
  TruePositive nam [28,28] = Samsunga (confidence=0.92)
  TruePositive nam [34,34] = Samsunga (confidence=0.98)
  TruePositive nam [54,55] = Sony Ericssonów (confidence=1.00)
  TruePositive nam [57,57] = Nokii (confidence=1.00)
  TruePositive nam [59,59] = Sagemów (confidence=1.00)
  FalseNegative nam [12,12] = Motoroli

2017-06-14 20:13:33,421 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 32 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101907.xml
(ChunkerEvaluator) Sentence #417 from 00101907 from sent1

Text  : HTTP jest protokołem bezstanowym .
Tokens: 1___ 2___ 3_________ 4__________ 5

Chunks:
  TruePositive nam [1,1] = HTTP (confidence=1.00)

(ChunkerEvaluator) Sentence #418 from 00101907 from sent2

Text  : Oznacza to , że protokół nie posiada wbudowanego sposobu utrzymania stanu pomiędzy dwiema transakcjami ._
Tokens: 1______ 2_ 3 4_ 5_______ 6__ 7______ 8__________ 9______ 10________ 11___ 12______ 13____ 14__________ 15

Chunks:

(ChunkerEvaluator) Sentence #419 from 00101907 from sent3

Text  : Kiedy użytkownik żąda jednej strony , a później następnej ,_ HTTP nie jest w_ stanie określić ,_ czy oba żądania pochodzą od tego samego użytkownika ._
Tokens: 1____ 2_________ 3___ 4_____ 5_____ 6 7 8______ 9________ 10 11__ 12_ 13__ 14 15____ 16______ 17 18_ 19_ 20_____ 21______ 22 23__ 24____ 25_________ 26

Chunks:
  TruePositive nam [11,11] = HTTP (confidence=0.94)

(ChunkerEvaluator) Sentence #420 from 00101907 from sent4

Text  : Obsługa sesji polega na zapisywaniu plików tymczasowych na dysku twardym serwera ._
Tokens: 1______ 2____ 3_____ 4_ 5__________ 6_____ 7___________ 8_ 9____ 10_____ 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #421 from 00101907 from sent5

Text  : Sesje w PHP są prowadzone przez unikatowy identyfikator sesji (_ session id -_ sid )_ ,_ kryptograficznie losową liczbę ._
Tokens: 1____ 2 3__ 4_ 5_________ 6____ 7________ 8____________ 9____ 10 11_____ 12 13 14_ 15 16 17______________ 18____ 19____ 20

Chunks:
  TruePositive nam [3,3] = PHP (confidence=0.99)

(ChunkerEvaluator) Sentence #422 from 00101907 from sent6

Text  : Identyfikator sesji jest generowany przez PHP i przechowywany po stronie klienta podczas trwania sesji ._
Tokens: 1____________ 2____ 3___ 4_________ 5____ 6__ 7 8____________ 9_ 10_____ 11_____ 12_____ 13_____ 14___ 15

Chunks:
  TruePositive nam [6,6] = PHP (confidence=0.99)

(ChunkerEvaluator) Sentence #423 from 00101907 from sent7

Text  : Może on być przechowywany w komputerze użytkownika jako cookie lub przekazywane przez URL ._
Tokens: 1___ 2_ 3__ 4____________ 5 6_________ 7__________ 8___ 9_____ 10_ 11__________ 12___ 13_ 14

Chunks:
  TruePositive nam [13,13] = URL (confidence=0.98)

(ChunkerEvaluator) Sentence #424 from 00101907 from sent8

Text  : Przekazywanie SID przez URL
Tokens: 1____________ 2__ 3____ 4__

Chunks:
  TruePositive nam [4,4] = URL (confidence=0.97)
  FalsePositive nam [2,2] = SID (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #425 from 00101907 from sent9

Text  : Jako przykład posłuży strona forum.wmii.pl .
Tokens: 1___ 2_______ 3______ 4_____ 5____________ 6

Chunks:
  TruePositive nam [5,5] = forum.wmii.pl (confidence=0.98)

(ChunkerEvaluator) Sentence #426 from 00101907 from sent10

Text  : Po zalogowaniu otrzymujemy adres typu http://forum.wmii.pl/index.php?sid=3c633f5c458e342a8c679063f56c08c7 .
Tokens: 1_ 2__________ 3__________ 4____ 5___ 6__________________________________________________________________ 7

Chunks:
  FalseNegative nam [6,6] = http://forum.wmii.pl/index.php?sid=3c633f5c458e342a8c679063f56c08c7

(ChunkerEvaluator) Sentence #427 from 00101907 from sent11

Text  : Wartość przypisana do sid to właśnie nasz identyfikator .
Tokens: 1______ 2_________ 3_ 4__ 5_ 6______ 7___ 8____________ 9

Chunks:

(ChunkerEvaluator) Sentence #428 from 00101907 from sent12

Text  : W PHP dostępna jest zmienna $ SID , którą możemy wydrukować ._
Tokens: 1 2__ 3_______ 4___ 5______ 6 7__ 8 9____ 10____ 11________ 12

Chunks:
  TruePositive nam [2,2] = PHP (confidence=0.91)
  FalsePositive nam [7,7] = SID (confidence=0.62) (incorrect boundry)

(ChunkerEvaluator) Sentence #429 from 00101907 from sent13

Text  : Przy aktywowanej opcji session . use _ trans _ sid SID będzie automatycznie dodawany w_ przypadku ścieżek względnych ._
Tokens: 1___ 2__________ 3____ 4______ 5 6__ 7 8____ 9 10_ 11_ 12____ 13___________ 14______ 15 16_______ 17_____ 18________ 19

Chunks:
  FalsePositive nam [11,11] = SID (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #430 from 00101907 from sent14

Text  : Ciasteczka ( cookies )
Tokens: 1_________ 2 3______ 4

Chunks:

(ChunkerEvaluator) Sentence #431 from 00101907 from sent15

Text  : Ciasteczka stanowią niewielkie pliki na dysku twardym klienta , przesyłane do serwera przez przeglądarkę WWW podczas wystąpienia żądania HTTP ._
Tokens: 1_________ 2_______ 3_________ 4____ 5_ 6____ 7______ 8______ 9 10________ 11 12_____ 13___ 14__________ 15_ 16_____ 17_________ 18_____ 19__ 20

Chunks:
  TruePositive nam [15,15] = WWW (confidence=0.87)
  TruePositive nam [19,19] = HTTP (confidence=0.98)

(ChunkerEvaluator) Sentence #432 from 00101907 from sent16

Text  : Mają one postać klucz - wartość .
Tokens: 1___ 2__ 3_____ 4____ 5 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #433 from 00101907 from sent17

Text  : Zarządzanie sesjami oparte na adresach URL wnosi dodatkowe niebezpieczeństwo w_ porównaniu do zarządzania sesjami opartego na ciasteczkach ._
Tokens: 1__________ 2______ 3_____ 4_ 5_______ 6__ 7____ 8________ 9________________ 10 11________ 12 13_________ 14_____ 15______ 16 17__________ 18

Chunks:
  TruePositive nam [6,6] = URL (confidence=0.97)

(ChunkerEvaluator) Sentence #434 from 00101907 from sent18

Text  : Użytkownicy mogą wysłać URL , który zawiera aktywny numer sesji do znajomych przez e_ -_ mail lub użytkownicy mogą zapisać URL zawierający SID do zakładek i_ wchodzić na stronę zawsze z_ tym samym numerem sesji ._
Tokens: 1__________ 2___ 3_____ 4__ 5 6____ 7______ 8______ 9____ 10___ 11 12_______ 13___ 14 15 16__ 17_ 18_________ 19__ 20_____ 21_ 22_________ 23_ 24 25______ 26 27______ 28 29____ 30____ 31 32_ 33___ 34_____ 35___ 36

Chunks:
  TruePositive nam [4,4] = URL (confidence=0.73)
  TruePositive nam [21,21] = URL (confidence=1.00)
  FalsePositive nam [23,23] = SID (confidence=0.81) (incorrect boundry)

(ChunkerEvaluator) Sentence #435 from 00101907 from sent19

Text  : Są to powody odchodzenia od wykorzystywania adresu URL do przekazywania identyfikacji sesji ._
Tokens: 1_ 2_ 3_____ 4__________ 5_ 6______________ 7_____ 8__ 9_ 10___________ 11___________ 12___ 13

Chunks:
  TruePositive nam [8,8] = URL (confidence=0.98)

(ChunkerEvaluator) Sentence #436 from 00101907 from sent20

Text  : We współczesnych przeglądarkach wykorzystanie ciasteczek jest powszechne i praktycznie każda przeglądarka akceptuje ciasteczka lub w_ najgorszym przypadku zadaje użytkownikowi pytanie o_ zgodę na przyjecie i_ obsługę ciasteczka ._
Tokens: 1_ 2____________ 3_____________ 4____________ 5_________ 6___ 7_________ 8 9__________ 10___ 11__________ 12_______ 13________ 14_ 15 16________ 17_______ 18____ 19___________ 20_____ 21 22___ 23 24_______ 25 26_____ 27________ 28

Chunks:

(ChunkerEvaluator) Sentence #437 from 00101907 from sent21

Text  : PHP może być skonfigurowany na rożne sposoby na naszym serwerze ._
Tokens: 1__ 2___ 3__ 4_____________ 5_ 6____ 7______ 8_ 9_____ 10______ 11

Chunks:
  TruePositive nam [1,1] = PHP (confidence=1.00)

(ChunkerEvaluator) Sentence #438 from 00101907 from sent22

Text  : W celu ustalenia , które z opcji PHP są aktywne w_ naszej instalacji ,_ możemy posłużyć sie funkcja phpinfo ._
Tokens: 1 2___ 3________ 4 5____ 6 7____ 8__ 9_ 10_____ 11 12____ 13________ 14 15____ 16______ 17_ 18_____ 19_____ 20

Chunks:
  TruePositive nam [8,8] = PHP (confidence=0.94)

(ChunkerEvaluator) Sentence #439 from 00101907 from sent23

Text  : Należy przygotować plik , którego treść składa się jedynie z_ wywołania tej funkcji ._
Tokens: 1_____ 2__________ 3___ 4 5______ 6____ 7_____ 8__ 9______ 10 11_______ 12_ 13_____ 14

Chunks:

2017-06-14 20:13:33,510 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 33 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101935.xml
(ChunkerEvaluator) Sentence #440 from 00101935 from sent1

Text  : 6 . 3 .
Tokens: 1 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #441 from 00101935 from sent2

Text  : Producent podejmuje wszelkie konieczne środki , aby proces produkcji zapewnił zgodność jednostki pływającej lub jej elementu z_ wzorcem wyrobu ,_ określonym w_ świadectwie badania reprezentatywnego wzorca wyrobu WE ,_ oraz aby spełniały one wymagania określone w_ rozporządzeniu ._
Tokens: 1________ 2________ 3_______ 4________ 5_____ 6 7__ 8_____ 9________ 10______ 11______ 12_______ 13________ 14_ 15_ 16______ 17 18_____ 19____ 20 21________ 22 23_________ 24_____ 25_______________ 26____ 27____ 28 29 30__ 31_ 32_______ 33_ 34_______ 35_______ 36 37____________ 38

Chunks:
  FalsePositive nam [28,28] = WE (confidence=0.51) (incorrect boundry)

(ChunkerEvaluator) Sentence #442 from 00101935 from sent3

Text  : 6 . 4 .
Tokens: 1 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #443 from 00101935 from sent4

Text  : Notyfikowana jednostka przeprowadza odpowiednie badania i próby celem sprawdzenia zgodności jednostki pływającej lub jej elementu z_ wymaganiami określonymi w_ rozporządzeniu ,_ sprawdzając albo każdą jednostkę pływającą lub jej element ,_ jak określono w_ pkt 6_ ._ 6_ -_ 6_ ._ 7_ ,_ albo losowo wybraną jednostkę pływającą lub jej element ,_ jak określono w_ pkt 6_ ._ 9_ -_ 6_ ._ 13 ,_ zgodnie z_ wyborem producenta ._
Tokens: 1___________ 2________ 3___________ 4__________ 5______ 6 7____ 8____ 9__________ 10_______ 11_______ 12________ 13_ 14_ 15______ 16 17_________ 18_________ 19 20____________ 21 22_________ 23__ 24___ 25_______ 26_______ 27_ 28_ 29_____ 30 31_ 32_______ 33 34_ 35 36 37 38 39 40 41 42 43__ 44____ 45_____ 46_______ 47_______ 48_ 49_ 50_____ 51 52_ 53_______ 54 55_ 56 57 58 59 60 61 62 63 64_____ 65 66_____ 67________ 68

Chunks:

(ChunkerEvaluator) Sentence #444 from 00101935 from sent5

Text  : 6 . 5 .
Tokens: 1 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #445 from 00101935 from sent6

Text  : Producent lub jego upoważniony przedstawiciel przechowuje kopię świadectwa badania reprezentatywnego wzorca wyrobu WE przez co najmniej 10 lat od daty wyprodukowania ostatniej jednostki pływającej lub jej elementu ._
Tokens: 1________ 2__ 3___ 4__________ 5_____________ 6__________ 7____ 8_________ 9______ 10_______________ 11____ 12____ 13 14___ 15 16______ 17 18_ 19 20__ 21____________ 22_______ 23_______ 24________ 25_ 26_ 27______ 28

Chunks:

(ChunkerEvaluator) Sentence #446 from 00101935 from sent7

Text  : 6 . 6 .
Tokens: 1 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #447 from 00101935 from sent8

Text  : Każda jednostka pływająca lub jej elementy są oddzielnie badane i_ poddawane próbom określonym w_ normach ,_ o_ których mowa w_ §_ 44 rozporządzenia ,_ lub są poddawane równoważnym próbom ,_ w_ celu sprawdzenia zgodności jednostki pływającej lub jej elementu z_ wzorcem wyrobu określonym w_ świadectwie badania reprezentatywnego wzorca wyrobu WE oraz z_ wymaganiami określonymi w_ rozporządzeniu ._
Tokens: 1____ 2________ 3________ 4__ 5__ 6_______ 7_ 8_________ 9_____ 10 11_______ 12____ 13________ 14 15_____ 16 17 18_____ 19__ 20 21 22 23____________ 24 25_ 26 27_______ 28_________ 29____ 30 31 32__ 33_________ 34_______ 35_______ 36________ 37_ 38_ 39______ 40 41_____ 42____ 43________ 44 45_________ 46_____ 47_______________ 48____ 49____ 50 51__ 52 53_________ 54_________ 55 56____________ 57

Chunks:
  FalsePositive nam [50,50] = WE (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #448 from 00101935 from sent9

Text  : 6 . 7 .
Tokens: 1 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #449 from 00101935 from sent10

Text  : Notyfikowana jednostka nanosi lub zleca naniesienie swojego numeru identyfikacyjnego na każdą zatwierdzoną jednostkę pływającą lub jej element oraz sporządza pisemne świadectwo zgodności w_ oparciu o_ przeprowadzone próby ._
Tokens: 1___________ 2________ 3_____ 4__ 5____ 6__________ 7______ 8_____ 9________________ 10 11___ 12__________ 13_______ 14_______ 15_ 16_ 17_____ 18__ 19_______ 20_____ 21________ 22_______ 23 24_____ 25 26____________ 27___ 28

Chunks:

(ChunkerEvaluator) Sentence #450 from 00101935 from sent11

Text  : 6 . 8 .
Tokens: 1 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #451 from 00101935 from sent12

Text  : Producent lub jego upoważniony przedstawiciel powinien przedstawiać na żądanie świadectwo zgodności wystawione przez notyfikowaną jednostkę ._
Tokens: 1________ 2__ 3___ 4__________ 5_____________ 6_______ 7___________ 8_ 9______ 10________ 11_______ 12________ 13___ 14__________ 15_______ 16

Chunks:

(ChunkerEvaluator) Sentence #452 from 00101935 from sent13

Text  : 6 . 9 .
Tokens: 1 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #453 from 00101935 from sent14

Text  : Producent przedstawia do badań jednostki pływające lub jej elementy w_ postaci jednolitej partii i_ podejmuje wszelkie konieczne środki ,_ aby proces produkcji zapewniał jednolitość każdej wyprodukowanej partii ._
Tokens: 1________ 2__________ 3_ 4____ 5________ 6________ 7__ 8__ 9_______ 10 11_____ 12________ 13____ 14 15_______ 16______ 17_______ 18____ 19 20_ 21____ 22_______ 23_______ 24_________ 25____ 26____________ 27____ 28

Chunks:

(ChunkerEvaluator) Sentence #454 from 00101935 from sent15

Text  : 6 . 10 .
Tokens: 1 2 3_ 4

Chunks:

(ChunkerEvaluator) Sentence #455 from 00101935 from sent16

Text  : W celu sprawdzenia należy przedstawić wszystkie jednostki pływające lub ich elementy w_ formie jednolitej partii ._
Tokens: 1 2___ 3__________ 4_____ 5__________ 6________ 7________ 8________ 9__ 10_ 11______ 12 13____ 14________ 15____ 16

Chunks:

(ChunkerEvaluator) Sentence #456 from 00101935 from sent17

Text  : Z każdej partii zostaje wybrana losowo próbka .
Tokens: 1 2_____ 3_____ 4______ 5______ 6_____ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #457 from 00101935 from sent18

Text  : Próbka ta jest badana i poddawana próbom określonym w normach ,_ o_ których mowa w_ §_ 44 rozporządzenia ,_ lub jest poddawana równoważnym próbom ,_ w_ celu sprawdzenia zgodności z_ wymaganiami określonymi w_ rozporządzeniu ,_ a_ także w_ celu stwierdzenia ,_ czy partia zostanie przyjęta czy odrzucona ._
Tokens: 1_____ 2_ 3___ 4_____ 5 6________ 7_____ 8_________ 9 10_____ 11 12 13_____ 14__ 15 16 17 18____________ 19 20_ 21__ 22_______ 23_________ 24____ 25 26 27__ 28_________ 29_______ 30 31_________ 32_________ 33 34____________ 35 36 37___ 38 39__ 40__________ 41 42_ 43____ 44______ 45______ 46_ 47_______ 48

Chunks:

(ChunkerEvaluator) Sentence #458 from 00101935 from sent19

Text  : 6 . 11 .
Tokens: 1 2 3_ 4

Chunks:

(ChunkerEvaluator) Sentence #459 from 00101935 from sent20

Text  : Na procedurę losową , o której mowa w pkt 6_ ._ 10 ,_ składają się :_
Tokens: 1_ 2________ 3_____ 4 5 6_____ 7___ 8 9__ 10 11 12 13 14______ 15_ 16

Chunks:

(ChunkerEvaluator) Sentence #460 from 00101935 from sent21

Text  : 1 ) stosowana metoda statystyczna ;
Tokens: 1 2 3________ 4_____ 5___________ 6

Chunks:

2017-06-14 20:13:33,617 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 34 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101940.xml
(ChunkerEvaluator) Sentence #461 from 00101940 from sent1

Text  : Umowa między Rzecząpospolitą Polską a Królestwem Hiszpanii o wzajemnej ochronie informacji niejawnych ,_
Tokens: 1____ 2_____ 3______________ 4_____ 5 6_________ 7________ 8 9________ 10______ 11________ 12________ 13

Chunks:
  FalsePositive nam [3,7] = Rzecząpospolitą Polską a Królestwem Hiszpanii (confidence=0.56) (incorrect boundry)
  FalseNegative nam [3,4] = Rzecząpospolitą Polską
  FalseNegative nam [6,7] = Królestwem Hiszpanii

(ChunkerEvaluator) Sentence #462 from 00101940 from sent2

Text  : podpisana w Madrycie dnia 18 kwietnia 2006 r . oraz w_ Warszawie dnia 24 maja 2006 r_ ._
Tokens: 1________ 2 3_______ 4___ 5_ 6_______ 7___ 8 9 10__ 11 12_______ 13__ 14 15__ 16__ 17 18

Chunks:
  TruePositive nam [3,3] = Madrycie (confidence=1.00)
  TruePositive nam [12,12] = Warszawie (confidence=1.00)

(ChunkerEvaluator) Sentence #463 from 00101940 from sent3

Text  : W imieniu Rzeczypospolitej Polskiej
Tokens: 1 2______ 3_______________ 4_______

Chunks:
  TruePositive nam [3,4] = Rzeczypospolitej Polskiej (confidence=1.00)

(ChunkerEvaluator) Sentence #464 from 00101940 from sent4

Text  : PREZYDENT RZECZYPOSPOLITEJ POLSKIEJ
Tokens: 1________ 2_______________ 3_______

Chunks:
  TruePositive nam [1,3] = PREZYDENT RZECZYPOSPOLITEJ POLSKIEJ (confidence=0.95)

(ChunkerEvaluator) Sentence #465 from 00101940 from sent5

Text  : podaje do powszechnej wiadomości :
Tokens: 1_____ 2_ 3__________ 4_________ 5

Chunks:

(ChunkerEvaluator) Sentence #466 from 00101940 from sent6

Text  : W dniu 18 kwietnia 2006 r . w Madrycie oraz w_ dniu 24 maja 2006 r_ ._ w_ Warszawie została podpisana Umowa między Rzecząpospolitą Polską a_ Królestwem Hiszpanii o_ wzajemnej ochronie informacji niejawnych ,_ w_ następującym brzmieniu :_ o_ wzajemnej ochronie informacji niejawnych
Tokens: 1 2___ 3_ 4_______ 5___ 6 7 8 9_______ 10__ 11 12__ 13 14__ 15__ 16 17 18 19_______ 20_____ 21_______ 22___ 23____ 24_____________ 25____ 26 27________ 28_______ 29 30_______ 31______ 32________ 33________ 34 35 36__________ 37_______ 38 39 40_______ 41______ 42________ 43________

Chunks:
  TruePositive nam [9,9] = Madrycie (confidence=1.00)
  TruePositive nam [19,19] = Warszawie (confidence=1.00)
  FalsePositive nam [22,28] = Umowa między Rzecząpospolitą Polską a Królestwem Hiszpanii (confidence=1.00) (incorrect boundry)
  FalseNegative nam [22,33] = Umowa między Rzecząpospolitą Polską a Królestwem Hiszpanii o wzajemnej ochronie informacji niejawnych

(ChunkerEvaluator) Sentence #467 from 00101940 from sent7

Text  : Rzeczpospolita Polska i Królestwo Hiszpanii , zwane dalej " Stronami "_ ,_
Tokens: 1_____________ 2_____ 3 4________ 5________ 6 7____ 8____ 9 10______ 11 12

Chunks:
  TruePositive nam [1,2] = Rzeczpospolita Polska (confidence=0.97)
  TruePositive nam [4,5] = Królestwo Hiszpanii (confidence=0.96)

(ChunkerEvaluator) Sentence #468 from 00101940 from sent8

Text  : mając świadomość zmian w sytuacji politycznej na świecie i uznając ważną
Tokens: 1____ 2_________ 3____ 4 5_______ 6__________ 7_ 8______ 9 10_____ 11___

Chunks:

(ChunkerEvaluator) Sentence #469 from 00101940 from sent9

Text  : rolę swej wzajemnej współpracy dla celów stabilizacji pokoju ,
Tokens: 1___ 2___ 3________ 4_________ 5__ 6____ 7___________ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #470 from 00101940 from sent10

Text  : międzynarodowego bezpieczeństwa i wzajemnej poufności , będąc
Tokens: 1_______________ 2_____________ 3 4________ 5________ 6 7____

Chunks:

(ChunkerEvaluator) Sentence #471 from 00101940 from sent11

Text  : świadomymi faktu , iż dobra współpraca może wymagać wymiany
Tokens: 1_________ 2____ 3 4_ 5____ 6_________ 7___ 8______ 9______

Chunks:

(ChunkerEvaluator) Sentence #472 from 00101940 from sent12

Text  : informacji niejawnych pomiędzy Stronami ,
Tokens: 1_________ 2_________ 3_______ 4_______ 5

Chunks:

(ChunkerEvaluator) Sentence #473 from 00101940 from sent13

Text  : pragnąc stworzyć system przepisów regulujących wzajemną ochronę
Tokens: 1______ 2_______ 3_____ 4________ 5___________ 6_______ 7______

Chunks:

(ChunkerEvaluator) Sentence #474 from 00101940 from sent14

Text  : informacji niejawnych wymienianych pomiędzy Stronami , dla celów
Tokens: 1_________ 2_________ 3___________ 4_______ 5_______ 6 7__ 8____

Chunks:

(ChunkerEvaluator) Sentence #475 from 00101940 from sent15

Text  : jakiejkolwiek przyszłej umowy o współpracy albo kontraktu niejawnego ,
Tokens: 1____________ 2________ 3____ 4 5_________ 6___ 7________ 8_________ 9

Chunks:

(ChunkerEvaluator) Sentence #476 from 00101940 from sent16

Text  : uzgodniły , co następuje :
Tokens: 1________ 2 3_ 4________ 5

Chunks:

(ChunkerEvaluator) Sentence #477 from 00101940 from sent17

Text  : Artykuł 1
Tokens: 1______ 2

Chunks:

(ChunkerEvaluator) Sentence #478 from 00101940 from sent18

Text  : W rozumieniu niniejszej Umowy :
Tokens: 1 2_________ 3_________ 4____ 5

Chunks:

(ChunkerEvaluator) Sentence #479 from 00101940 from sent19

Text  : a ) " informacja niejawna " - oznacza wszelką informacją (_ konkretnie :_ wiedzą ,_ która może być przekazana w_ jakiejkolwiek formie )_ lub materiał ,_ wymagające ochrony przed nieuprawnionym ujawnieniem ,_ które zostały jako takie oznaczone klauzulą tajności ;_
Tokens: 1 2 3 4_________ 5_______ 6 7 8______ 9______ 10________ 11 12________ 13 14____ 15 16___ 17__ 18_ 19________ 20 21___________ 22____ 23 24_ 25______ 26 27________ 28_____ 29___ 30____________ 31_________ 32 33___ 34_____ 35__ 36___ 37_______ 38______ 39______ 40

Chunks:

(ChunkerEvaluator) Sentence #480 from 00101940 from sent20

Text  : b ) " materiał niejawny " - oznacza dowolny przedmiot ,_ wyposażenie ,_ urządzenie lub broń ,_ wyprodukowane lub będące w_ trakcie produkcji ,_ jak również komponenty użyte do ich produkcji ,_ zawierające informacje niejawne ;_
Tokens: 1 2 3 4_______ 5_______ 6 7 8______ 9______ 10_______ 11 12_________ 13 14________ 15_ 16__ 17 18___________ 19_ 20____ 21 22_____ 23_______ 24 25_ 26_____ 27________ 28___ 29 30_ 31_______ 32 33_________ 34________ 35______ 36

Chunks:

(ChunkerEvaluator) Sentence #481 from 00101940 from sent21

Text  : c ) " dokument niejawny " - oznacza jakąkolwiek formę utrwalenia informacji niejawnej niezależnie od jej fizycznej formy lub cech charakterystycznych ;_
Tokens: 1 2 3 4_______ 5_______ 6 7 8______ 9__________ 10___ 11________ 12________ 13_______ 14_________ 15 16_ 17_______ 18___ 19_ 20__ 21_________________ 22

Chunks:

(ChunkerEvaluator) Sentence #482 from 00101940 from sent22

Text  : d ) " kontrahent " - oznacza osobę fizyczną lub osobę prawną posiadającą zdolność prawną do zawierania kontraktów ;_
Tokens: 1 2 3 4_________ 5 6 7______ 8____ 9_______ 10_ 11___ 12____ 13_________ 14______ 15____ 16 17________ 18________ 19

Chunks:

(ChunkerEvaluator) Sentence #483 from 00101940 from sent23

Text  : e ) " podmiot zamawiający " - oznacza podmiot ,_ który zamierza zawrzeć kontrakt niejawny na terytorium Państwa drugiej Strony ;_
Tokens: 1 2 3 4______ 5__________ 6 7 8______ 9______ 10 11___ 12______ 13_____ 14______ 15______ 16 17________ 18_____ 19_____ 20____ 21

Chunks:
  FalsePositive nam [18,18] = Państwa (confidence=0.60) (incorrect boundry)

(ChunkerEvaluator) Sentence #484 from 00101940 from sent24

Text  : f ) " kontrakt niejawny " - oznacza kontrakt pomiędzy dwoma lub więcej kontrahentami ,_ tworzący i_ określający wykonalne prawa i_ obowiązki pomiędzy nimi ,_ który zawiera lub wiąże się z_ wytwarzaniem lub dostępem do informacji niejawnych ;_
Tokens: 1 2 3 4_______ 5_______ 6 7 8______ 9_______ 10______ 11___ 12_ 13____ 14___________ 15 16______ 17 18_________ 19_______ 20___ 21 22_______ 23______ 24__ 25 26___ 27_____ 28_ 29___ 30_ 31 32__________ 33_ 34______ 35 36________ 37________ 38

Chunks:

(ChunkerEvaluator) Sentence #485 from 00101940 from sent25

Text  : g ) " właściwe organy bezpieczeństwa " - oznaczają organy wyznaczone przez Stronę ,_ jako odpowiedzialne za wdrażanie i_ nadzorowanie niniejszej Umowy ;_
Tokens: 1 2 3 4_______ 5_____ 6_____________ 7 8 9________ 10____ 11________ 12___ 13____ 14 15__ 16____________ 17 18_______ 19 20__________ 21________ 22___ 23

Chunks:

(ChunkerEvaluator) Sentence #486 from 00101940 from sent26

Text  : h ) " strona otrzymująca " - oznacza Stronę ,_ do której informacja niejawna jest przekazywana ;_
Tokens: 1 2 3 4_____ 5__________ 6 7 8______ 9_____ 10 11 12____ 13________ 14______ 15__ 16__________ 17

Chunks:

(ChunkerEvaluator) Sentence #487 from 00101940 from sent27

Text  : i ) " strona wytwarzająca " - oznacza Stronę ,_ która wytwarza informacje niejawne ;_
Tokens: 1 2 3 4_____ 5___________ 6 7 8______ 9_____ 10 11___ 12______ 13________ 14______ 15

Chunks:

(ChunkerEvaluator) Sentence #488 from 00101940 from sent28

Text  : j ) " trzecia strona " - oznacza każdą międzynarodową organizację lub państwo ,_ które nie jest stroną niniejszej Umowy ;_
Tokens: 1 2 3 4______ 5_____ 6 7 8______ 9____ 10____________ 11_________ 12_ 13_____ 14 15___ 16_ 17__ 18____ 19________ 20___ 21

Chunks:

(ChunkerEvaluator) Sentence #489 from 00101940 from sent29

Text  : k ) " poświadczenie bezpieczeństwa " - oznacza stwierdzenie przez właściwe organy bezpieczeństwa lub inny podmiot uprawniony zgodnie z_ prawem wewnętrznym Strony ,_ że osoba fizyczna jest uprawniona do dostępu do informacji niejawnych ;_
Tokens: 1 2 3 4____________ 5_____________ 6 7 8______ 9___________ 10___ 11______ 12____ 13____________ 14_ 15__ 16_____ 17________ 18_____ 19 20____ 21_________ 22____ 23 24 25___ 26______ 27__ 28________ 29 30_____ 31 32________ 33________ 34

Chunks:

(ChunkerEvaluator) Sentence #490 from 00101940 from sent30

Text  : l ) " świadectwo bezpieczeństwa przemysłowego " - oznacza stwierdzenie przez właściwe organy bezpieczeństwa lub inny podmiot uprawniony zgodnie z_ prawem wewnętrznym Strony ,_ że pod względem bezpieczeństwa przedsiębiorca posiada fizyczną i_ organizacyjną zdolność ,_ aby wykorzystywać i_ przechowywać informacje niejawne ,_ zgodnie z_ prawem i_ regulacjami wewnętrznymi ;_
Tokens: 1 2 3 4_________ 5_____________ 6____________ 7 8 9______ 10__________ 11___ 12______ 13____ 14____________ 15_ 16__ 17_____ 18________ 19_____ 20 21____ 22_________ 23____ 24 25 26_ 27______ 28____________ 29____________ 30_____ 31______ 32 33___________ 34______ 35 36_ 37___________ 38 39__________ 40________ 41______ 42 43_____ 44 45____ 46 47_________ 48__________ 49

Chunks:

(ChunkerEvaluator) Sentence #491 from 00101940 from sent31

Text  : m ) " zasada ograniczonego dostępu " - oznacza ,_ że dostęp do informacji niejawnych może być przyznany tylko osobom ,_ które posiadają zweryfikowany wymóg zapoznania się lub posiadania takich informacji w_ celu wykonywania swych obowiązków służbowych i_ zawodowych ._
Tokens: 1 2 3 4_____ 5____________ 6______ 7 8 9______ 10 11 12____ 13 14________ 15________ 16__ 17_ 18_______ 19___ 20____ 21 22___ 23_______ 24___________ 25___ 26________ 27_ 28_ 29________ 30____ 31________ 32 33__ 34_________ 35___ 36________ 37________ 38 39________ 40

Chunks:

2017-06-14 20:13:33,756 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 35 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101950.xml
(ChunkerEvaluator) Sentence #492 from 00101950 from sent1

Text  : Dziennik Urzędowy Urzędu Ochrony Konkurencji i Konsumentów z 23 grudnia 2009 Nr 4_ poz ._ 35
Tokens: 1_______ 2_______ 3_____ 4______ 5__________ 6 7__________ 8 9_ 10_____ 11__ 12 13 14_ 15 16

Chunks:
  TruePositive nam [1,2] = Dziennik Urzędowy (confidence=0.95)
  TruePositive nam [3,7] = Urzędu Ochrony Konkurencji i Konsumentów (confidence=0.88)

(ChunkerEvaluator) Sentence #493 from 00101950 from sent2

Text  : metryka tekst pierwotny Wykaz wyroków Sądu Apelacyjnego w Warszawie doręczonych w_ miesiącach :_ lipiec ,_ sierpień ,_ wrzesień 2009 r_ ._
Tokens: 1______ 2____ 3________ 4____ 5______ 6___ 7___________ 8 9________ 10_________ 11 12________ 13 14____ 15 16______ 17 18______ 19__ 20 21

Chunks:
  TruePositive nam [6,7] = Sądu Apelacyjnego (confidence=0.99)
  TruePositive nam [9,9] = Warszawie (confidence=1.00)

(ChunkerEvaluator) Sentence #494 from 00101950 from sent3

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #495 from 00101950 from sent4

Text  : Wyrok z dnia 07 . 05 . 2009 r ._ (_ Sygn ._ akt VI ACa 1318 /_ 08 )_ w_ sprawie z_ odwołania RWE Stoen S_ ._ A_ ._ w_ Warszawie przeciwko Prezesowi Urzędu Ochrony Konkurencji i_ Konsumentów ._
Tokens: 1____ 2 3___ 4_ 5 6_ 7 8___ 9 10 11 12__ 13 14_ 15 16_ 17__ 18 19 20 21 22_____ 23 24_______ 25_ 26___ 27 28 29 30 31 32_______ 33_______ 34_______ 35____ 36_____ 37_________ 38 39_________ 40

Chunks:
  TruePositive nam [25,30] = RWE Stoen S . A . (confidence=0.99)
  TruePositive nam [32,32] = Warszawie (confidence=1.00)
  TruePositive nam [34,39] = Prezesowi Urzędu Ochrony Konkurencji i Konsumentów (confidence=1.00)

(ChunkerEvaluator) Sentence #496 from 00101950 from sent5

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #497 from 00101950 from sent6

Text  : Wyrok z dnia 08 . 05 . 2009 r ._ (_ Sygn ._ akt VI ACa 1377 /_ 08 )_ w_ sprawie z_ odwołania Gminy Witkowo przeciwko Prezesowi Urzędu Ochrony Konkurencji i_ Konsumentów ._
Tokens: 1____ 2 3___ 4_ 5 6_ 7 8___ 9 10 11 12__ 13 14_ 15 16_ 17__ 18 19 20 21 22_____ 23 24_______ 25___ 26_____ 27_______ 28_______ 29____ 30_____ 31_________ 32 33_________ 34

Chunks:
  TruePositive nam [26,26] = Witkowo (confidence=0.61)
  TruePositive nam [28,33] = Prezesowi Urzędu Ochrony Konkurencji i Konsumentów (confidence=1.00)

(ChunkerEvaluator) Sentence #498 from 00101950 from sent7

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #499 from 00101950 from sent8

Text  : Wyrok z dnia 27 . 05 . 2009 r ._ (_ Sygn ._ akt VI ACa 1404 /_ 08 )_ w_ sprawie z_ odwołania Gminy Katowice przeciwko Prezesowi Urzędu Ochrony Konkurencji i_ Konsumentów (_ publ ._ -_ poz ._ 34 w_ niniejszym numerze Dziennika )_ ._
Tokens: 1____ 2 3___ 4_ 5 6_ 7 8___ 9 10 11 12__ 13 14_ 15 16_ 17__ 18 19 20 21 22_____ 23 24_______ 25___ 26______ 27_______ 28_______ 29____ 30_____ 31_________ 32 33_________ 34 35__ 36 37 38_ 39 40 41 42________ 43_____ 44_______ 45 46

Chunks:
  TruePositive nam [26,26] = Katowice (confidence=0.63)
  TruePositive nam [28,33] = Prezesowi Urzędu Ochrony Konkurencji i Konsumentów (confidence=1.00)
  TruePositive nam [44,44] = Dziennika (confidence=0.99)

(ChunkerEvaluator) Sentence #500 from 00101950 from sent9

Text  : 4 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #501 from 00101950 from sent10

Text  : Wyrok z dnia 27 . 05 . 2009 r ._ (_ Sygn ._ akt VI ACa 1407 /_ 08 )_ w_ sprawie z_ odwołania Telekomunikacji Polskiej S_ ._ A_ ._ w_ Warszawie przeciwko Prezesowi Urzędu Ochrony Konkurencji i_ Konsumentów ._
Tokens: 1____ 2 3___ 4_ 5 6_ 7 8___ 9 10 11 12__ 13 14_ 15 16_ 17__ 18 19 20 21 22_____ 23 24_______ 25_____________ 26______ 27 28 29 30 31 32_______ 33_______ 34_______ 35____ 36_____ 37_________ 38 39_________ 40

Chunks:
  TruePositive nam [25,30] = Telekomunikacji Polskiej S . A . (confidence=1.00)
  TruePositive nam [32,32] = Warszawie (confidence=1.00)
  TruePositive nam [34,39] = Prezesowi Urzędu Ochrony Konkurencji i Konsumentów (confidence=1.00)

(ChunkerEvaluator) Sentence #502 from 00101950 from sent11

Text  : 5 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #503 from 00101950 from sent12

Text  : Wyrok z dnia 04 . 06 . 2009 r ._ (_ Sygn ._ akt VI ACa 1607 /_ 08 )_ w_ sprawie z_ odwołania Stowarzyszenia Transportu Prywatnego w_ Szczecinie przeciwko Prezesowi Urzędu Ochrony Konkurencji i_ Konsumentów ._
Tokens: 1____ 2 3___ 4_ 5 6_ 7 8___ 9 10 11 12__ 13 14_ 15 16_ 17__ 18 19 20 21 22_____ 23 24_______ 25____________ 26________ 27________ 28 29________ 30_______ 31_______ 32____ 33_____ 34_________ 35 36_________ 37

Chunks:
  TruePositive nam [25,27] = Stowarzyszenia Transportu Prywatnego (confidence=1.00)
  TruePositive nam [29,29] = Szczecinie (confidence=0.99)
  TruePositive nam [31,36] = Prezesowi Urzędu Ochrony Konkurencji i Konsumentów (confidence=1.00)

2017-06-14 20:13:33,818 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 36 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101974.xml
(ChunkerEvaluator) Sentence #504 from 00101974 from sent1

Text  : Do księgarń wracają historyczne baśnie Pawła Jasienicy , zresztą po zakończeniu historii agenturalno -_ prawno -_ autorskiej wyjętej prosto z_ Fantastyki Borisa Akunina ._
Tokens: 1_ 2_______ 3______ 4__________ 5_____ 6____ 7________ 8 9______ 10 11_________ 12______ 13_________ 14 15____ 16 17________ 18_____ 19____ 20 21________ 22____ 23_____ 24

Chunks:
  TruePositive nam [6,7] = Pawła Jasienicy (confidence=1.00)
  FalsePositive nam [21,23] = Fantastyki Borisa Akunina (confidence=1.00) (incorrect boundry)
  FalseNegative nam [21,21] = Fantastyki
  FalseNegative nam [22,23] = Borisa Akunina

(ChunkerEvaluator) Sentence #505 from 00101974 from sent2

Text  : Plakat obwieszczający Jasienica : Powrót ( choć być może zamiast matriksowo należało akurat w_ tym przypadku dodać ,_ "_ króla "_ ,_ do zimy daleko ,_ Małysz się nie obrazi )_ przyciągnął mój wzrok zapewne w_ związku z_ wizytą w_ Galerii Piastowskiej w_ Legnicy ,_ gdzie wypił em mocne espresso i_ niezbyt odkrywczo zauważył em ,_ że propaganda piastowska ma się wciąż dobrze i_ wesoło odżywa na Ziemiach Odzyskanych ._
Tokens: 1_____ 2_____________ 3________ 4 5_____ 6 7___ 8__ 9___ 10_____ 11________ 12______ 13____ 14 15_ 16_______ 17___ 18 19 20___ 21 22 23 24__ 25____ 26 27____ 28_ 29_ 30____ 31 32_________ 33_ 34___ 35_____ 36 37_____ 38 39____ 40 41_____ 42__________ 43 44_____ 45 46___ 47___ 48 49___ 50______ 51 52_____ 53_______ 54______ 55 56 57 58________ 59________ 60 61_ 62___ 63____ 64 65____ 66____ 67 68______ 69_________ 70

Chunks:
  TruePositive nam [3,3] = Jasienica (confidence=1.00)
  TruePositive nam [27,27] = Małysz (confidence=0.93)
  TruePositive nam [41,42] = Galerii Piastowskiej (confidence=1.00)
  TruePositive nam [44,44] = Legnicy (confidence=1.00)
  TruePositive nam [68,69] = Ziemiach Odzyskanych (confidence=1.00)
  FalsePositive nam [5,5] = Powrót (confidence=0.92) (incorrect boundry)

(ChunkerEvaluator) Sentence #506 from 00101974 from sent3

Text  : Galeria Piastowska w Legnicy , piastowskie pomniki we Wrocławiu i_ Pasaż Grunwaldzki tamże ,_ reklamowany przez białogłowy w_ kolczugach ,_ też z_ fantastyki Borisa ,_ ale raczej Valejo ._
Tokens: 1______ 2_________ 3 4______ 5 6__________ 7______ 8_ 9________ 10 11___ 12_________ 13___ 14 15_________ 16___ 17________ 18 19________ 20 21_ 22 23________ 24____ 25 26_ 27____ 28____ 29

Chunks:
  TruePositive nam [1,2] = Galeria Piastowska (confidence=0.88)
  TruePositive nam [4,4] = Legnicy (confidence=0.99)
  TruePositive nam [9,9] = Wrocławiu (confidence=1.00)
  TruePositive nam [11,12] = Pasaż Grunwaldzki (confidence=1.00)
  TruePositive nam [24,24] = Borisa (confidence=1.00)
  TruePositive nam [28,28] = Valejo (confidence=0.91)

(ChunkerEvaluator) Sentence #507 from 00101974 from sent4

Text  : To że Grunwald mało piastowski w niczym nie przeszkadza ,_ w_ końcu tam również ważyły się losy Ziem Odzyskanych ._
Tokens: 1_ 2_ 3_______ 4___ 5_________ 6 7_____ 8__ 9__________ 10 11 12___ 13_ 14_____ 15____ 16_ 17__ 18__ 19_________ 20

Chunks:
  TruePositive nam [3,3] = Grunwald (confidence=0.98)
  TruePositive nam [18,19] = Ziem Odzyskanych (confidence=0.99)

(ChunkerEvaluator) Sentence #508 from 00101974 from sent5

Text  : Jedną z bardziej popularnych ( choć niespecjalnie są powody )_ knajp we Wrocławiu jest PRL ,_ naprzeciwko którego zresztą odbywała się wystawa "_ twarze bezpieki "_ ._
Tokens: 1____ 2 3_______ 4__________ 5 6___ 7____________ 8_ 9_____ 10 11___ 12 13_______ 14__ 15_ 16 17_________ 18_____ 19_____ 20______ 21_ 22_____ 23 24____ 25______ 26 27

Chunks:
  TruePositive nam [13,13] = Wrocławiu (confidence=1.00)
  TruePositive nam [15,15] = PRL (confidence=0.99)

(ChunkerEvaluator) Sentence #509 from 00101974 from sent6

Text  : W środku portrety Lenina i Mao umilają wesołe pląsy ,_ na dworze inne bardziej napiętnowane portrety ._
Tokens: 1 2_____ 3_______ 4_____ 5 6__ 7______ 8_____ 9____ 10 11 12____ 13__ 14______ 15__________ 16______ 17

Chunks:
  TruePositive nam [4,4] = Lenina (confidence=1.00)
  TruePositive nam [6,6] = Mao (confidence=1.00)

(ChunkerEvaluator) Sentence #510 from 00101974 from sent7

Text  : Socjalizm stał się jednak passé , teraz czas sięgnąć dalej i_ dla zrównoważenia odkrytej nagle niemieckiej i_ śląskiej historii wrócić do Piastów ,_ od których prosta droga do Szczerbca ._
Tokens: 1________ 2___ 3__ 4_____ 5____ 6 7____ 8___ 9______ 10___ 11 12_ 13___________ 14______ 15___ 16_________ 17 18______ 19______ 20____ 21 22_____ 23 24 25_____ 26____ 27___ 28 29_______ 30

Chunks:
  TruePositive nam [22,22] = Piastów (confidence=1.00)
  TruePositive nam [29,29] = Szczerbca (confidence=1.00)

(ChunkerEvaluator) Sentence #511 from 00101974 from sent8

Text  : W piastowskiej galerii tylko piastowskie towary i piastowskie espresso ._
Tokens: 1 2___________ 3______ 4____ 5__________ 6_____ 7 8__________ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #512 from 00101974 from sent9

Text  : W końcu na piastowskiej mitologii można polegać jak na Zawiszy ._
Tokens: 1 2____ 3_ 4___________ 5________ 6____ 7______ 8__ 9_ 10_____ 11

Chunks:
  TruePositive nam [10,10] = Zawiszy (confidence=1.00)

2017-06-14 20:13:33,881 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 37 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102003.xml
(ChunkerEvaluator) Sentence #513 from 00102003 from sent1

Text  : Rozmowa z Jánosem Háyem przed niedzielną premierą sztuki " Géza -_ dzieciak "_ w_ Studiu Teatralnym TVP 2_
Tokens: 1______ 2 3______ 4____ 5____ 6_________ 7_______ 8_____ 9 10__ 11 12______ 13 14 15____ 16________ 17_ 18

Chunks:
  TruePositive nam [3,4] = Jánosem Háyem (confidence=0.99)
  TruePositive nam [10,12] = Géza - dzieciak (confidence=1.00)
  FalsePositive nam [15,16] = Studiu Teatralnym (confidence=1.00) (incorrect boundry)
  FalsePositive nam [17,18] = TVP 2 (confidence=0.97) (incorrect boundry)
  FalseNegative nam [15,18] = Studiu Teatralnym TVP 2

(ChunkerEvaluator) Sentence #514 from 00102003 from sent2

Text  : Pesymista pogodzony z losem
Tokens: 1________ 2________ 3 4____

Chunks:

(ChunkerEvaluator) Sentence #515 from 00102003 from sent3

Text  : Rz : Pańska sztuka " Géza - dzieciak " przetłumaczona została na kilkanaście języków ._
Tokens: 1_ 2 3_____ 4_____ 5 6___ 7 8_______ 9 10____________ 11_____ 12 13_________ 14_____ 15

Chunks:
  TruePositive nam [6,8] = Géza - dzieciak (confidence=1.00)
  FalseNegative nam [1,1] = Rz

(ChunkerEvaluator) Sentence #516 from 00102003 from sent4

Text  : Taki sukces po napisaniu pierwszego dramatu może być niebezpieczny ._
Tokens: 1___ 2_____ 3_ 4________ 5_________ 6______ 7___ 8__ 9____________ 10

Chunks:

(ChunkerEvaluator) Sentence #517 from 00102003 from sent5

Text  : JÁNOS HÁY : W moim życiu nic się nie zmieniło ._
Tokens: 1____ 2__ 3 4 5___ 6____ 7__ 8__ 9__ 10______ 11

Chunks:
  TruePositive nam [1,2] = JÁNOS HÁY (confidence=0.99)

(ChunkerEvaluator) Sentence #518 from 00102003 from sent6

Text  : Nie stał em się ani bogatszy , ani mądrzejszy ,_ ani piękniejszy ._
Tokens: 1__ 2___ 3_ 4__ 5__ 6_______ 7 8__ 9_________ 10 11_ 12_________ 13

Chunks:

(ChunkerEvaluator) Sentence #519 from 00102003 from sent7

Text  : Wciąż jestem takim upadłym człowiekiem , jakim był em wcześniej ._
Tokens: 1____ 2_____ 3____ 4______ 5__________ 6 7____ 8__ 9_ 10_______ 11

Chunks:

(ChunkerEvaluator) Sentence #520 from 00102003 from sent8

Text  : Ten upadły człowiek , nim napisał " Gézę - dzieciaka "_ ,_ był na Węgrzech cenionym pisarzem i_ poetą ._
Tokens: 1__ 2_____ 3_______ 4 5__ 6______ 7 8___ 9 10_______ 11 12 13_ 14 15______ 16______ 17______ 18 19___ 20

Chunks:
  TruePositive nam [8,10] = Gézę - dzieciaka (confidence=1.00)
  TruePositive nam [15,15] = Węgrzech (confidence=1.00)

(ChunkerEvaluator) Sentence #521 from 00102003 from sent9

Text  : Jednak dopiero " Géza " przyniósł panu sławę międzynarodową ._
Tokens: 1_____ 2______ 3 4___ 5 6________ 7___ 8____ 9_____________ 10

Chunks:
  TruePositive nam [4,4] = Géza (confidence=0.99)

(ChunkerEvaluator) Sentence #522 from 00102003 from sent10

Text  : Kiedy przystępował em do pisania " Gézy " , miałem wrażenie ,_ że wystawiam się na próbę ._
Tokens: 1____ 2___________ 3_ 4_ 5______ 6 7___ 8 9 10____ 11______ 12 13 14_______ 15_ 16 17___ 18

Chunks:
  TruePositive nam [7,7] = Gézy (confidence=0.98)

(ChunkerEvaluator) Sentence #523 from 00102003 from sent11

Text  : Chciał em pójść krok dalej , sprawdzić , czy potrafię tworzyć w_ innym gatunku ._
Tokens: 1_____ 2_ 3____ 4___ 5____ 6 7________ 8 9__ 10______ 11_____ 12 13___ 14_____ 15

Chunks:

(ChunkerEvaluator) Sentence #524 from 00102003 from sent12

Text  : Najśmieszniejsze , że kiedy aktorzy po raz pierwszy czytają tekst ,_ mówią ,_ że są w_ nim dialogi ,_ które można usłyszeć na ulicy ._
Tokens: 1_______________ 2 3_ 4____ 5______ 6_ 7__ 8_______ 9______ 10___ 11 12___ 13 14 15 16 17_ 18_____ 19 20___ 21___ 22______ 23 24___ 25

Chunks:

(ChunkerEvaluator) Sentence #525 from 00102003 from sent13

Text  : Kiedy jednak zaczynają się ich uczyć na pamięć , dostrzegają specyficzny rytm ._
Tokens: 1____ 2_____ 3________ 4__ 5__ 6____ 7_ 8_____ 9 10_________ 11_________ 12__ 13

Chunks:

(ChunkerEvaluator) Sentence #526 from 00102003 from sent14

Text  : Dlaczego nazywa pan swoje sztuki " boskimi dramatami " ?_
Tokens: 1_______ 2_____ 3__ 4____ 5_____ 6 7______ 8________ 9 10

Chunks:

(ChunkerEvaluator) Sentence #527 from 00102003 from sent15

Text  : Węgierska tradycja teatralna jest bardzo przywiązana do realizmu .
Tokens: 1________ 2_______ 3________ 4___ 5_____ 6__________ 7_ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #528 from 00102003 from sent16

Text  : Obawiał em się , że zgodnie z nią " Géza "_ zostanie odczytany jako dramat realistyczny ,_ opisujący konkretne środowisko ._
Tokens: 1______ 2_ 3__ 4 5_ 6______ 7 8__ 9 10__ 11 12______ 13_______ 14__ 15____ 16__________ 17 18_______ 19_______ 20________ 21

Chunks:
  TruePositive nam [10,10] = Géza (confidence=1.00)

(ChunkerEvaluator) Sentence #529 from 00102003 from sent17

Text  : I wszystkie problemy transcendentne i filozoficzne odsunięte zostaną na bok ._
Tokens: 1 2________ 3_______ 4_____________ 5 6___________ 7________ 8______ 9_ 10_ 11

Chunks:

(ChunkerEvaluator) Sentence #530 from 00102003 from sent18

Text  : Jak autor boskich dramatów odbiera twórczość tzw . młodych brutalistów typu Sara Kane ?_
Tokens: 1__ 2____ 3______ 4_______ 5______ 6________ 7__ 8 9______ 10_________ 11__ 12__ 13__ 14

Chunks:
  TruePositive nam [12,13] = Sara Kane (confidence=1.00)

(ChunkerEvaluator) Sentence #531 from 00102003 from sent19

Text  : Mógł by m zapytać przewrotnie , kto to jest Sara Kane ,_ bo na Węgrzech nie poświęca się tej twórczości szczególnej uwagi ._
Tokens: 1___ 2_ 3 4______ 5__________ 6 7__ 8_ 9___ 10__ 11__ 12 13 14 15______ 16_ 17______ 18_ 19_ 20________ 21_________ 22___ 23

Chunks:
  TruePositive nam [10,11] = Sara Kane (confidence=1.00)
  TruePositive nam [15,15] = Węgrzech (confidence=1.00)

(ChunkerEvaluator) Sentence #532 from 00102003 from sent20

Text  : Ja z pewnością nie korzystam z wpływów takich pisarzy ._
Tokens: 1_ 2 3________ 4__ 5________ 6 7______ 8_____ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #533 from 00102003 from sent21

Text  : Znacznie bardziej inspirujący wydaje mi się choćby Szekspir czy Beckett ._
Tokens: 1_______ 2_______ 3__________ 4_____ 5_ 6__ 7_____ 8_______ 9__ 10_____ 11

Chunks:
  TruePositive nam [8,8] = Szekspir (confidence=0.99)
  TruePositive nam [10,10] = Beckett (confidence=1.00)

(ChunkerEvaluator) Sentence #534 from 00102003 from sent22

Text  : Z nadzieją czy z obawą patrzy pan dziś na rzeczywistość ?_
Tokens: 1 2_______ 3__ 4 5____ 6_____ 7__ 8___ 9_ 10___________ 11

Chunks:

(ChunkerEvaluator) Sentence #535 from 00102003 from sent23

Text  : Niestety , nie jestem optymistą .
Tokens: 1_______ 2 3__ 4_____ 5________ 6

Chunks:

(ChunkerEvaluator) Sentence #536 from 00102003 from sent24

Text  : W życiu przeciętnego człowieka widzę wiele beznadziei .
Tokens: 1 2____ 3___________ 4________ 5____ 6____ 7_________ 8

Chunks:

(ChunkerEvaluator) Sentence #537 from 00102003 from sent25

Text  : Staram się wierzyć , że pisarz może tu pomóc ._
Tokens: 1_____ 2__ 3______ 4 5_ 6_____ 7___ 8_ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #538 from 00102003 from sent26

Text  : Czy udział w zespole rockowym był próbą odreagowania tej rzeczywistości ?_ ._
Tokens: 1__ 2_____ 3 4______ 5_______ 6__ 7____ 8___________ 9__ 10____________ 11 12

Chunks:

(ChunkerEvaluator) Sentence #539 from 00102003 from sent27

Text  : Kiedyś powiedział by m panu , że prawdziwą sztuką jest dla mnie nie tetralogia Wagnera ,_ lecz rock &_ roll ._
Tokens: 1_____ 2_________ 3_ 4 5___ 6 7_ 8________ 9_____ 10__ 11_ 12__ 13_ 14________ 15_____ 16 17__ 18__ 19 20__ 21

Chunks:
  TruePositive nam [15,15] = Wagnera (confidence=1.00)

(ChunkerEvaluator) Sentence #540 from 00102003 from sent28

Text  : Tam była muzyka , poezja i filozofia życia .
Tokens: 1__ 2___ 3_____ 4 5_____ 6 7________ 8____ 9

Chunks:

(ChunkerEvaluator) Sentence #541 from 00102003 from sent29

Text  : Wydawało mi się , że w rocku nie można kłamać ._
Tokens: 1_______ 2_ 3__ 4 5_ 6 7____ 8__ 9____ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #542 from 00102003 from sent30

Text  : W latach 60 . był dla nas ostatnią szansą alternatywnego życia w_ ówczesnych warunkach ._
Tokens: 1 2_____ 3_ 4 5__ 6__ 7__ 8_______ 9_____ 10____________ 11___ 12 13________ 14_______ 15

Chunks:

(ChunkerEvaluator) Sentence #543 from 00102003 from sent31

Text  : Żyli śmy w autentycznej wspólnocie , oderwali śmy się od wartości drobnomieszczańskich ._
Tokens: 1___ 2__ 3 4___________ 5_________ 6 7_______ 8__ 9__ 10 11______ 12__________________ 13

Chunks:

(ChunkerEvaluator) Sentence #544 from 00102003 from sent32

Text  : Można było wierzyć , że rock zmieni świat .
Tokens: 1____ 2___ 3______ 4 5_ 6___ 7_____ 8____ 9

Chunks:

(ChunkerEvaluator) Sentence #545 from 00102003 from sent33

Text  : Ale świat się nie zmienił , stał się jeszcze bardziej cyniczny ._
Tokens: 1__ 2____ 3__ 4__ 5______ 6 7___ 8__ 9______ 10______ 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #546 from 00102003 from sent34

Text  : Jeden z założycieli ruchu hipisowskiego sprzedaje teraz programy fitness clubów ._
Tokens: 1____ 2 3__________ 4____ 5____________ 6________ 7____ 8_______ 9______ 10____ 11

Chunks:

2017-06-14 20:13:33,997 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 38 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102008.xml
(ChunkerEvaluator) Sentence #547 from 00102008 from sent1

Text  : W tym samym dniu , jeszcze przed przemówieniem , Larry Lessig i_ Benjamin Mako Hill wzięli udział w_ warsztatowej dyskusji o_ problemie licencjonowania prac ._
Tokens: 1 2__ 3____ 4___ 5 6______ 7____ 8____________ 9 10___ 11____ 12 13______ 14__ 15__ 16____ 17____ 18 19__________ 20______ 21 22_______ 23_____________ 24__ 25

Chunks:
  TruePositive nam [10,11] = Larry Lessig (confidence=1.00)
  TruePositive nam [13,15] = Benjamin Mako Hill (confidence=1.00)

(ChunkerEvaluator) Sentence #548 from 00102008 from sent2

Text  : Benjamin jest autorem tekstu pt . „ Towards a Standard of Freedom :_ Creative Commons and the Free Software Movement ”_ (_ tłum ._ W_ kierunku standardu wolności :_ Creative Commons i_ ruch Wolnego Oprogramowania )_ ,_ w_ którym oskarżył ruch CC o_ brak definicji propagowanej wolności ,_ która pozwoliła by jasno stwierdzić ,_ czy dana licencja jest dla autora wystarczająca otwarta czy nie ._
Tokens: 1_______ 2___ 3______ 4_____ 5_ 6 7 8______ 9 10______ 11 12_____ 13 14______ 15_____ 16_ 17_ 18__ 19______ 20______ 21 22 23__ 24 25 26______ 27_______ 28______ 29 30______ 31_____ 32 33__ 34_____ 35____________ 36 37 38 39____ 40______ 41__ 42 43 44__ 45_______ 46__________ 47______ 48 49___ 50_______ 51 52___ 53________ 54 55_ 56__ 57______ 58__ 59_ 60____ 61___________ 62_____ 63_ 64_ 65

Chunks:
  TruePositive nam [1,1] = Benjamin (confidence=0.99)
  TruePositive nam [42,42] = CC (confidence=0.83)
  FalsePositive nam [8,12] = Towards a Standard of Freedom (confidence=0.94) (incorrect boundry)
  FalsePositive nam [14,15] = Creative Commons (confidence=0.99) (incorrect boundry)
  FalsePositive nam [18,20] = Free Software Movement (confidence=0.77) (incorrect boundry)
  FalsePositive nam [30,31] = Creative Commons (confidence=1.00) (incorrect boundry)
  FalsePositive nam [34,35] = Wolnego Oprogramowania (confidence=0.78) (incorrect boundry)
  FalseNegative nam [8,20] = Towards a Standard of Freedom : Creative Commons and the Free Software Movement
  FalseNegative nam [25,35] = W kierunku standardu wolności : Creative Commons i ruch Wolnego Oprogramowania

(ChunkerEvaluator) Sentence #549 from 00102008 from sent3

Text  : „ Z powodu braku wyraźnej granicy etycznej , CC stoi na przegranej pozycji ”_ pisze Mako Hill ._
Tokens: 1 2 3_____ 4____ 5_______ 6______ 7_______ 8 9_ 10__ 11 12________ 13_____ 14 15___ 16__ 17__ 18

Chunks:
  TruePositive nam [9,9] = CC (confidence=1.00)
  TruePositive nam [16,17] = Mako Hill (confidence=1.00)

(ChunkerEvaluator) Sentence #550 from 00102008 from sent4

Text  : Warsztaty WOS 4 były dla Larrego Lessiga i Benjamina Mako Hilla pierwszą okazją do wspólnej dyskusji na ten temat ._
Tokens: 1________ 2__ 3 4___ 5__ 6______ 7______ 8 9________ 10__ 11___ 12______ 13____ 14 15______ 16______ 17 18_ 19___ 20

Chunks:
  TruePositive nam [6,7] = Larrego Lessiga (confidence=1.00)
  TruePositive nam [9,11] = Benjamina Mako Hilla (confidence=1.00)
  FalsePositive nam [2,2] = WOS (confidence=0.63) (incorrect boundry)
  FalseNegative nam [2,3] = WOS 4

(ChunkerEvaluator) Sentence #551 from 00102008 from sent5

Text  : Larry już na wstępie zaznaczył , że nie jest do dyskusja ideologa z_ pragmatykiem ._
Tokens: 1____ 2__ 3_ 4______ 5________ 6 7_ 8__ 9___ 10 11______ 12______ 13 14__________ 15

Chunks:
  TruePositive nam [1,1] = Larry (confidence=0.77)

(ChunkerEvaluator) Sentence #552 from 00102008 from sent6

Text  : Różnice zdań wynikają z faktu , że ludzie podobni do Benjamina wierzą w_ jeden standard wolności ,_ podczas gdy Larry preferuje idee różnorodności takich standardów ._
Tokens: 1______ 2___ 3_______ 4 5____ 6 7_ 8_____ 9______ 10 11_______ 12____ 13 14___ 15______ 16______ 17 18_____ 19_ 20___ 21_______ 22__ 23___________ 24____ 25________ 26

Chunks:
  TruePositive nam [11,11] = Benjamina (confidence=1.00)
  TruePositive nam [20,20] = Larry (confidence=1.00)

(ChunkerEvaluator) Sentence #553 from 00102008 from sent7

Text  : Wierzy , że każda kreatywna społeczność powinna rozwinąć własny poziom wolności i_ chronić ją –_ tak jak zrobili to programiści z_ Richardem Stallmanem na czele dla społeczności FLOSS ._
Tokens: 1_____ 2 3_ 4____ 5________ 6__________ 7______ 8_______ 9_____ 10____ 11______ 12 13_____ 14 15 16_ 17_ 18_____ 19 20_________ 21 22_______ 23________ 24 25___ 26_ 27__________ 28___ 29

Chunks:
  TruePositive nam [22,23] = Richardem Stallmanem (confidence=1.00)
  TruePositive nam [28,28] = FLOSS (confidence=0.91)

(ChunkerEvaluator) Sentence #554 from 00102008 from sent8

Text  : W innym wypadku grupa ustanawiająca jedyne słuszne standardy stanie się kolonią mówiącą innym ,_ co jest dobre –_ powiedział Larry ._
Tokens: 1 2____ 3______ 4____ 5____________ 6_____ 7______ 8________ 9_____ 10_ 11_____ 12_____ 13___ 14 15 16__ 17___ 18 19________ 20___ 21

Chunks:
  TruePositive nam [20,20] = Larry (confidence=1.00)

(ChunkerEvaluator) Sentence #555 from 00102008 from sent9

Text  : Jarosław Lipszyc twierdzi , że ceną która trzeba będzie za to zapłacić może być niekorzystne podzielenie puli dzieł kultury ._
Tokens: 1_______ 2______ 3_______ 4 5_ 6___ 7____ 8_____ 9_____ 10 11 12______ 13__ 14_ 15__________ 16_________ 17__ 18___ 19_____ 20

Chunks:
  TruePositive nam [1,2] = Jarosław Lipszyc (confidence=1.00)

(ChunkerEvaluator) Sentence #556 from 00102008 from sent10

Text  : Odniosł em wrażenie , że kompromis między tymi poglądami jest niemożliwy ._
Tokens: 1______ 2_ 3_______ 4 5_ 6________ 7_____ 8___ 9________ 10__ 11________ 12

Chunks:

(ChunkerEvaluator) Sentence #557 from 00102008 from sent11

Text  : Dla ludzi , którzy myślą jak Larry Lessig ( muszę przyznać ,_ że się do nich zaliczam )_ ,_ każda grupa sama musi zdefiniować zestaw podstawowych wolności ._
Tokens: 1__ 2____ 3 4_____ 5____ 6__ 7____ 8_____ 9 10___ 11______ 12 13 14_ 15 16__ 17______ 18 19 20___ 21___ 22__ 23__ 24_________ 25____ 26__________ 27______ 28

Chunks:
  TruePositive nam [7,8] = Larry Lessig (confidence=1.00)

(ChunkerEvaluator) Sentence #558 from 00102008 from sent12

Text  : Dla Benjamina Mako Hilla definicja kultury opiera się na podstawach etycznych ,_ co wyklucza alternatywne rozwiązania ._
Tokens: 1__ 2________ 3___ 4____ 5________ 6______ 7_____ 8__ 9_ 10________ 11_______ 12 13 14______ 15__________ 16_________ 17

Chunks:
  TruePositive nam [2,4] = Benjamina Mako Hilla (confidence=1.00)

(ChunkerEvaluator) Sentence #559 from 00102008 from sent13

Text  : Mam jednak wrażenie , że w ruchu wolnej kultury jest wystarczająca ilość miejsca dla obu ideologii :_ „_ etycznej ”_ i_ inkluzywnej ._
Tokens: 1__ 2_____ 3_______ 4 5_ 6 7____ 8_____ 9______ 10__ 11___________ 12___ 13_____ 14_ 15_ 16_______ 17 18 19______ 20 21 22_________ 23

Chunks:

(ChunkerEvaluator) Sentence #560 from 00102008 from sent14

Text  : Wychodząc z warsztatów ponownie odczuł em zniecierpliwienie …
Tokens: 1________ 2 3_________ 4_______ 5_____ 6_ 7________________ 8

Chunks:

(ChunkerEvaluator) Sentence #561 from 00102008 from sent15

Text  : Potrzebujemy konkretnych rezultatów , nie tylko obserwacji zachodzących zmian ,_ jakie obecne są w_ tym młodym ruchu ._
Tokens: 1___________ 2__________ 3_________ 4 5__ 6____ 7_________ 8___________ 9____ 10 11___ 12____ 13 14 15_ 16____ 17___ 18

Chunks:

(ChunkerEvaluator) Sentence #562 from 00102008 from sent16

Text  : Podczas , gdy pesymiści uważają nasze rozwiązania licencyjne jako niewystarczająco wolne ,_ uważam ,_ że każdy użycie różnych licencji CC ,_ nie ważne jak bardzo restrykcyjnych ,_ za sygnał ,_ malutką flagę ,_ oznaczającą ,_ że dana praca jest wspólną własnością na olbrzymim terytorium kultury ._
Tokens: 1______ 2 3__ 4________ 5______ 6____ 7__________ 8_________ 9___ 10______________ 11___ 12 13____ 14 15 16___ 17____ 18_____ 19______ 20 21 22_ 23___ 24_ 25____ 26____________ 27 28 29____ 30 31_____ 32___ 33 34_________ 35 36 37__ 38___ 39__ 40_____ 41________ 42 43_______ 44________ 45_____ 46

Chunks:
  TruePositive nam [20,20] = CC (confidence=1.00)

2017-06-14 20:13:34,103 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 39 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102028.xml
(ChunkerEvaluator) Sentence #563 from 00102028 from sent1

Text  : Koniec głodówki , lecz nie protestu gdańskich listonoszy z OZZ Inicjatywa Pracownicza (_ do środy głodowało jeszcze dwóch doręczycieli )_ ,_ która zakończyła się całkowitym "_ sukcesem "_ ._
Tokens: 1_____ 2_______ 3 4___ 5__ 6_______ 7________ 8_________ 9 10_ 11________ 12_________ 13 14 15___ 16_______ 17_____ 18___ 19__________ 20 21 22___ 23________ 24_ 25________ 26 27______ 28 29

Chunks:
  TruePositive nam [10,12] = OZZ Inicjatywa Pracownicza (confidence=0.99)

(ChunkerEvaluator) Sentence #564 from 00102028 from sent2

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #565 from 00102028 from sent3

Text  : Problem głodowych wynagrodzeń pocztowców został dość mocno poruszony przez media ,_ jak również inne pracownicze i_ związkowe problemy ._
Tokens: 1______ 2________ 3__________ 4_________ 5_____ 6___ 7____ 8________ 9____ 10___ 11 12_ 13_____ 14__ 15_________ 16 17_______ 18______ 19

Chunks:

(ChunkerEvaluator) Sentence #566 from 00102028 from sent4

Text  : Światło dnia padło też na sponsoring uprawiany przez Pocztę Polską oraz na przerost administracji z_ jej wysokimi wynagrodzeniami w_ przeciw wadze do kłamstw władz firmy ,_ że Poczty Polskiej nie stać na podwyżki ._
Tokens: 1______ 2___ 3____ 4__ 5_ 6_________ 7________ 8____ 9_____ 10____ 11__ 12 13______ 14___________ 15 16_ 17______ 18_____________ 19 20_____ 21___ 22 23_____ 24___ 25___ 26 27 28____ 29______ 30_ 31__ 32 33______ 34

Chunks:
  TruePositive nam [9,10] = Pocztę Polską (confidence=1.00)
  TruePositive nam [28,29] = Poczty Polskiej (confidence=1.00)

(ChunkerEvaluator) Sentence #567 from 00102028 from sent5

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #568 from 00102028 from sent6

Text  : Kierownictwo Poczty Polskiej kolejny raz ukazało pracownikom i SPOŁECZEŃSTWU swoje prawdziwe oblicze poprzez całkowity brak zainteresowania głodówką swoich pracowników ._
Tokens: 1___________ 2_____ 3_______ 4______ 5__ 6______ 7__________ 8 9____________ 10___ 11_______ 12_____ 13_____ 14_______ 15__ 16_____________ 17______ 18____ 19_________ 20

Chunks:
  TruePositive nam [2,3] = Poczty Polskiej (confidence=0.91)
  FalsePositive nam [9,9] = SPOŁECZEŃSTWU (confidence=0.98) (incorrect boundry)

(ChunkerEvaluator) Sentence #569 from 00102028 from sent7

Text  : Nikt z szefostwa nie zapytał jak się czujemy i czy można nam jakoś pomóc ._
Tokens: 1___ 2 3________ 4__ 5______ 6__ 7__ 8______ 9 10_ 11___ 12_ 13___ 14___ 15

Chunks:

(ChunkerEvaluator) Sentence #570 from 00102028 from sent8

Text  : Nawet nie zaoferowano nam przysłowiowej szklanki wody !
Tokens: 1____ 2__ 3__________ 4__ 5____________ 6_______ 7___ 8

Chunks:

(ChunkerEvaluator) Sentence #571 from 00102028 from sent9

Text  : Nadto na zorganizowaną pikietę 22 . 02 . 2008 przed budynkiem Dyrekcji Poczty Polskiej w_ Gdańsku kierownictwo firmy nasłało policję ._
Tokens: 1____ 2_ 3____________ 4______ 5_ 6 7_ 8 9___ 10___ 11_______ 12______ 13____ 14______ 15 16_____ 17__________ 18___ 19_____ 20_____ 21

Chunks:
  TruePositive nam [12,14] = Dyrekcji Poczty Polskiej (confidence=1.00)
  TruePositive nam [16,16] = Gdańsku (confidence=0.99)

(ChunkerEvaluator) Sentence #572 from 00102028 from sent10

Text  : Nasze zdrowie i życie faktycznie nic nie znaczy !
Tokens: 1____ 2______ 3 4____ 5_________ 6__ 7__ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #573 from 00102028 from sent11

Text  : Nie jestem tym zdziwiony , bo to jak cały czas traktuje się pracowników eksploatacji w_ tej firmie już dawno o_ tym świadczyło ._
Tokens: 1__ 2_____ 3__ 4________ 5 6_ 7_ 8__ 9___ 10__ 11______ 12_ 13_________ 14__________ 15 16_ 17____ 18_ 19___ 20 21_ 22________ 23

Chunks:

(ChunkerEvaluator) Sentence #574 from 00102028 from sent12

Text  : Dlatego wciąż zarabiamy nędzne " grosze " !
Tokens: 1______ 2____ 3________ 4_____ 5 6_____ 7 8

Chunks:

(ChunkerEvaluator) Sentence #575 from 00102028 from sent13

Text  : Dlatego wciąż zwalniają się pracownicy , a na ich miejsce nie można zatrudnić nowych ,_ a_ jak już ich pozyskamy ,_ to po krótkim okresie podłej pracy uciekają z_ firmy ._
Tokens: 1______ 2____ 3________ 4__ 5_________ 6 7 8_ 9__ 10_____ 11_ 12___ 13_______ 14____ 15 16 17_ 18_ 19_ 20_______ 21 22 23 24_____ 25_____ 26____ 27___ 28______ 29 30___ 31

Chunks:

(ChunkerEvaluator) Sentence #576 from 00102028 from sent14

Text  : Dlatego nadmiarem pracy obarcza się pozostałych listonoszy , czy pracowników rozdzielni ._
Tokens: 1______ 2________ 3____ 4______ 5__ 6__________ 7_________ 8 9__ 10_________ 11________ 12

Chunks:

(ChunkerEvaluator) Sentence #577 from 00102028 from sent15

Text  : Dlatego zwiększono limity gotówki dla listonoszy bez zwiększenia bezpieczeństwa ,_ czy regulując z_ ZUS-m wydłużony czas na wypłaty rent i_ emerytur ._
Tokens: 1______ 2_________ 3_____ 4______ 5__ 6_________ 7__ 8__________ 9_____________ 10 11_ 12_______ 13 14___ 15_______ 16__ 17 18_____ 19__ 20 21______ 22

Chunks:
  TruePositive nam [14,14] = ZUS-m (confidence=0.99)

(ChunkerEvaluator) Sentence #578 from 00102028 from sent16

Text  : Dlatego znowu do pracy listonosza zatrudnia się kobiety .
Tokens: 1______ 2____ 3_ 4____ 5_________ 6________ 7__ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #579 from 00102028 from sent17

Text  : Dlatego wciąż nie realizuje się porozumienia po strajkowego z 13 ._ 12 ._ 2006 roku z_ naciskiem na zatrudnienie rezerw urlopowo -_ chorobowych ._
Tokens: 1______ 2____ 3__ 4________ 5__ 6___________ 7_ 8__________ 9 10 11 12 13 14__ 15__ 16 17_______ 18 19__________ 20____ 21______ 22 23_________ 24

Chunks:

(ChunkerEvaluator) Sentence #580 from 00102028 from sent18

Text  : Dlatego wciąż firma nie wywiązuje się z nakazów PIP z_ wyróżnieniem zamontowania skrzynek kontaktowych odciążających od dźwigania listonoszy ._
Tokens: 1______ 2____ 3____ 4__ 5________ 6__ 7 8______ 9__ 10 11__________ 12__________ 13______ 14__________ 15___________ 16 17_______ 18________ 19

Chunks:
  TruePositive nam [9,9] = PIP (confidence=0.97)

(ChunkerEvaluator) Sentence #581 from 00102028 from sent19

Text  : Dlatego w tej firmie wciąż nie ma kart zegarowych ,_ czy innych czytników rejestrujących godziny pracy ._
Tokens: 1______ 2 3__ 4_____ 5____ 6__ 7_ 8___ 9_________ 10 11_ 12____ 13_______ 14____________ 15_____ 16___ 17

Chunks:

(ChunkerEvaluator) Sentence #582 from 00102028 from sent20

Text  : Itd . .
Tokens: 1__ 2 3

Chunks:

(ChunkerEvaluator) Sentence #583 from 00102028 from sent21

Text  : itd . .
Tokens: 1__ 2 3

Chunks:

(ChunkerEvaluator) Sentence #584 from 00102028 from sent22

Text  : Dlatego wciąż cierpią na tym klienci .
Tokens: 1______ 2____ 3______ 4_ 5__ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #585 from 00102028 from sent23

Text  : Szeregowy pracownik Poczty Polskiej jest tylko środkiem dla ogromnych zysków pocztowych elit ._
Tokens: 1________ 2________ 3_____ 4_______ 5___ 6____ 7_______ 8__ 9________ 10____ 11________ 12__ 13

Chunks:
  TruePositive nam [3,4] = Poczty Polskiej (confidence=0.94)

(ChunkerEvaluator) Sentence #586 from 00102028 from sent24

Text  : Nasze życie nic nie znaczy !
Tokens: 1____ 2____ 3__ 4__ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #587 from 00102028 from sent25

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #588 from 00102028 from sent26

Text  : Teraz czas na pikiety OZZ Inicjatywa Pracownicza i nie tylko pod Dyrekcjami Poczty Polskiej w_ innych miastach ._
Tokens: 1____ 2___ 3_ 4______ 5__ 6_________ 7__________ 8 9__ 10___ 11_ 12________ 13____ 14______ 15 16____ 17______ 18

Chunks:
  TruePositive nam [5,7] = OZZ Inicjatywa Pracownicza (confidence=1.00)
  TruePositive nam [12,14] = Dyrekcjami Poczty Polskiej (confidence=0.96)

(ChunkerEvaluator) Sentence #589 from 00102028 from sent27

Text  : 4 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #590 from 00102028 from sent28

Text  : WALKA TRWA ! ! !
Tokens: 1____ 2___ 3 4 5

Chunks:

2017-06-14 20:13:34,202 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 40 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102065.xml
(ChunkerEvaluator) Sentence #591 from 00102065 from sent1

Text  : Dzisiejsza Gazeta opublikowała tekst literacki pod tytułem Lustracja .
Tokens: 1_________ 2_____ 3___________ 4____ 5________ 6__ 7______ 8________ 9

Chunks:
  TruePositive nam [2,2] = Gazeta (confidence=0.69)
  TruePositive nam [8,8] = Lustracja (confidence=0.96)

(ChunkerEvaluator) Sentence #592 from 00102065 from sent2

Text  : Kiedy redaktor Marecki wysyłał teksty do Gazety prosił em ,_ by nie wysyłał Lustracji ,_ bo na pewno go wezmą ._
Tokens: 1____ 2_______ 3______ 4______ 5_____ 6_ 7_____ 8_____ 9_ 10 11 12_ 13_____ 14_______ 15 16 17 18___ 19 20___ 21

Chunks:
  TruePositive nam [3,3] = Marecki (confidence=0.98)
  TruePositive nam [7,7] = Gazety (confidence=0.99)
  TruePositive nam [14,14] = Lustracji (confidence=0.83)

(ChunkerEvaluator) Sentence #593 from 00102065 from sent3

Text  : Zapomniał , wysłał , wzięli .
Tokens: 1________ 2 3_____ 4 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #594 from 00102065 from sent4

Text  : Ha ha .
Tokens: 1_ 2_ 3

Chunks:

(ChunkerEvaluator) Sentence #595 from 00102065 from sent5

Text  : Tekst ten jest remiksem dwóch artykułów z Wikipedii , wolnej encyklopedii :_ lustro i_ kastracja ._
Tokens: 1____ 2__ 3___ 4_______ 5____ 6________ 7 8________ 9 10____ 11__________ 12 13____ 14 15_______ 16

Chunks:
  TruePositive nam [8,8] = Wikipedii (confidence=1.00)

(ChunkerEvaluator) Sentence #596 from 00102065 from sent6

Text  : Trudno więc powiedzieć , że jestem jego autorem - ani jedno słowo nie pochodzi ode mnie ._
Tokens: 1_____ 2___ 3_________ 4 5_ 6_____ 7___ 8______ 9 10_ 11___ 12___ 13_ 14______ 15_ 16__ 17

Chunks:

(ChunkerEvaluator) Sentence #597 from 00102065 from sent7

Text  : Z drugiej strony , żaden z tekstów źródłowych nie traktuje o_ lustracji ._
Tokens: 1 2______ 3_____ 4 5____ 6 7______ 8_________ 9__ 10______ 11 12_______ 13

Chunks:

(ChunkerEvaluator) Sentence #598 from 00102065 from sent8

Text  : Kto go więc napisał ?
Tokens: 1__ 2_ 3___ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #599 from 00102065 from sent9

Text  : Nie wiem .
Tokens: 1__ 2___ 3

Chunks:

(ChunkerEvaluator) Sentence #600 from 00102065 from sent10

Text  : Oto on :
Tokens: 1__ 2_ 3

Chunks:

(ChunkerEvaluator) Sentence #601 from 00102065 from sent11

Text  : Gazeta opublikowała tekst bez adnotacji o wolnej licencji , o_ co w_ sumie nie mam pretensji -_ równie dobrze mógł by m_ te remiksy tworzyć z_ dowolnych źródeł ,_ dzięki dozwolonemu użytkowi (_ tzw ._ prawa gatunku twórczości )_ ._
Tokens: 1_____ 2___________ 3____ 4__ 5________ 6 7_____ 8_______ 9 10 11 12 13___ 14_ 15_ 16_______ 17 18____ 19____ 20__ 21 22 23 24_____ 25_____ 26 27_______ 28____ 29 30____ 31_________ 32______ 33 34_ 35 36___ 37_____ 38________ 39 40

Chunks:
  TruePositive nam [1,1] = Gazeta (confidence=0.88)

(ChunkerEvaluator) Sentence #602 from 00102065 from sent12

Text  : Jednak na wszelki wypadek wolę korzystać przy tych remiksach ze źródeł wolno dostępnych ._
Tokens: 1_____ 2_ 3______ 4______ 5___ 6________ 7___ 8___ 9________ 10 11____ 12___ 13________ 14

Chunks:

(ChunkerEvaluator) Sentence #603 from 00102065 from sent13

Text  : Prawo się zmienia , lepiej się zabezpieczyć .
Tokens: 1____ 2__ 3______ 4 5_____ 6__ 7___________ 8

Chunks:

(ChunkerEvaluator) Sentence #604 from 00102065 from sent14

Text  : Dlatego , gdy za miesiąc " Krytyka Polityczna " wyda całą książkę "_ Mnemotechniki "_ złożoną z_ tych tekstów ,_ dużą jej część zajmą licencja GFDL i_ spis prawdziwych autorów książki :_ ludzi i_ botów pracujących na Wikipedii ._
Tokens: 1______ 2 3__ 4_ 5______ 6 7______ 8_________ 9 10__ 11__ 12_____ 13 14___________ 15 16_____ 17 18__ 19_____ 20 21__ 22_ 23___ 24___ 25______ 26__ 27 28__ 29_________ 30_____ 31_____ 32 33___ 34 35___ 36_________ 37 38_______ 39

Chunks:
  TruePositive nam [7,8] = Krytyka Polityczna (confidence=0.96)
  TruePositive nam [14,14] = Mnemotechniki (confidence=0.99)
  TruePositive nam [38,38] = Wikipedii (confidence=1.00)
  FalsePositive nam [26,26] = GFDL (confidence=0.98) (incorrect boundry)

2017-06-14 20:13:34,255 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 41 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102067.xml
(ChunkerEvaluator) Sentence #605 from 00102067 from sent1

Text  : “ Czy Jarocin to Youtube ? ( i dlaczego nie )_ ”_ -_ nagranie wideo
Tokens: 1 2__ 3______ 4_ 5______ 6 7 8 9_______ 10_ 11 12 13 14______ 15___

Chunks:
  TruePositive nam [3,3] = Jarocin (confidence=0.95)
  TruePositive nam [5,5] = Youtube (confidence=0.98)

(ChunkerEvaluator) Sentence #606 from 00102067 from sent2

Text  : Maciek Budzich , autor bloga Mediafun , przyszedł na ostatnie spotkanie Kultura 2_ ._ 0_ z_ kamerą ,_ nagrał całość ,_ zmontował i_ wrzucił do sieci ._
Tokens: 1_____ 2______ 3 4____ 5____ 6_______ 7 8________ 9_ 10______ 11_______ 12_____ 13 14 15 16 17____ 18 19____ 20____ 21 22_______ 23 24_____ 25 26___ 27

Chunks:
  TruePositive nam [1,2] = Maciek Budzich (confidence=1.00)
  TruePositive nam [6,6] = Mediafun (confidence=1.00)
  TruePositive nam [12,15] = Kultura 2 . 0 (confidence=1.00)

(ChunkerEvaluator) Sentence #607 from 00102067 from sent3

Text  : Zapraszam do oglądania dyskusji ( 56 minut ) , w_ następnej kolejności może uda się wrzucić nagranie koncertu LD50 -_ mamy z_ nim pewne kłopoty techniczne ._
Tokens: 1________ 2_ 3________ 4_______ 5 6_ 7____ 8 9 10 11_______ 12________ 13__ 14_ 15_ 16_____ 17______ 18______ 19__ 20 21__ 22 23_ 24___ 25_____ 26________ 27

Chunks:
  TruePositive nam [19,19] = LD50 (confidence=0.93)

(ChunkerEvaluator) Sentence #608 from 00102067 from sent4

Text  : Przy okazji , Google Video oferuje ciekawą opcję umieszczania w_ komentarzach znaczników czasowych ,_ pozwalających łatwo przeskoczyć do komentowanego momentu ._
Tokens: 1___ 2_____ 3 4_____ 5____ 6______ 7______ 8____ 9___________ 10 11__________ 12________ 13_______ 14 15___________ 16___ 17_________ 18 19___________ 20_____ 21

Chunks:
  TruePositive nam [4,5] = Google Video (confidence=1.00)

2017-06-14 20:13:34,279 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 42 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102121.xml
(ChunkerEvaluator) Sentence #609 from 00102121 from sent1

Text  : Początek spotkania zdominowały elektryki .
Tokens: 1_______ 2________ 3__________ 4________ 5

Chunks:

(ChunkerEvaluator) Sentence #610 from 00102121 from sent2

Text  : Andy jeździł Lazerem ZX - 5 , Adam Cyclonem D4 ,_ Jarek Losi XXX -_ CR ,_ Hubert Rustlerem ._
Tokens: 1___ 2______ 3______ 4_ 5 6 7 8___ 9_______ 10 11 12___ 13__ 14_ 15 16 17 18____ 19_______ 20

Chunks:
  TruePositive nam [1,1] = Andy (confidence=1.00)
  TruePositive nam [3,6] = Lazerem ZX - 5 (confidence=1.00)
  TruePositive nam [14,16] = XXX - CR (confidence=0.86)
  FalsePositive nam [8,10] = Adam Cyclonem D4 (confidence=1.00) (incorrect boundry)
  FalsePositive nam [12,13] = Jarek Losi (confidence=1.00) (incorrect boundry)
  FalsePositive nam [18,19] = Hubert Rustlerem (confidence=1.00) (incorrect boundry)
  FalseNegative nam [8,8] = Adam
  FalseNegative nam [9,10] = Cyclonem D4
  FalseNegative nam [12,12] = Jarek
  FalseNegative nam [13,13] = Losi
  FalseNegative nam [18,18] = Hubert
  FalseNegative nam [19,19] = Rustlerem

(ChunkerEvaluator) Sentence #611 from 00102121 from sent3

Text  : Jedynie Piotrek jeździł spalinowym Lightningiem Stadium 10 .
Tokens: 1______ 2______ 3______ 4_________ 5___________ 6______ 7_ 8

Chunks:
  TruePositive nam [2,2] = Piotrek (confidence=1.00)
  TruePositive nam [5,7] = Lightningiem Stadium 10 (confidence=1.00)

(ChunkerEvaluator) Sentence #612 from 00102121 from sent4

Text  : Tor był bardzo suchy , więc parę osób eksperymentowało z_ oponami ._
Tokens: 1__ 2__ 3_____ 4____ 5 6___ 7___ 8___ 9_______________ 10 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #613 from 00102121 from sent5

Text  : Dla Losi XXX - CR najtrafniejszym zestawieniem tego dnia okazały się opony Losi X_ -_ 2000 i_ duży spoiler JConcepts ._
Tokens: 1__ 2___ 3__ 4 5_ 6______________ 7___________ 8___ 9___ 10_____ 11_ 12___ 13__ 14 15 16__ 17 18__ 19_____ 20_______ 21

Chunks:
  FalsePositive nam [2,5] = Losi XXX - CR (confidence=1.00) (incorrect boundry)
  FalsePositive nam [13,20] = Losi X - 2000 i duży spoiler JConcepts (confidence=1.00) (incorrect boundry)
  FalseNegative nam [2,2] = Losi
  FalseNegative nam [3,5] = XXX - CR
  FalseNegative nam [13,13] = Losi
  FalseNegative nam [14,16] = X - 2000
  FalseNegative nam [20,20] = JConcepts

(ChunkerEvaluator) Sentence #614 from 00102121 from sent6

Text  : Spalinowy MGT 3 . 0 , którego docierali śmy na poprzednich spotkaniach ,_ wyjechał po raz pierwszy na tor ._
Tokens: 1________ 2__ 3 4 5 6 7______ 8________ 9__ 10 11_________ 12_________ 13 14______ 15 16_ 17______ 18 19_ 20

Chunks:
  FalsePositive nam [2,5] = MGT 3 . 0 (confidence=0.67) (incorrect boundry)
  FalseNegative nam [2,2] = MGT
  FalseNegative nam [3,5] = 3 . 0

(ChunkerEvaluator) Sentence #615 from 00102121 from sent7

Text  : Zdaniem Piotrka , który przejechał kilka kółek tym modelem ,_ prowadzi się on całkiem dobrze ,_ pomimo typowego dla monster trucków bardzo wysokiego zawieszenia ._
Tokens: 1______ 2______ 3 4____ 5_________ 6____ 7____ 8__ 9______ 10 11______ 12_ 13 14_____ 15____ 16 17____ 18______ 19_ 20_____ 21_____ 22____ 23_______ 24_________ 25

Chunks:
  TruePositive nam [2,2] = Piotrka (confidence=0.98)

(ChunkerEvaluator) Sentence #616 from 00102121 from sent8

Text  : Szczególnie zaskoczył nas bardzo dobry skręt modelu .
Tokens: 1__________ 2________ 3__ 4_____ 5____ 6____ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #617 from 00102121 from sent9

Text  : Co prawda suchy i mało przyczepny tor na pewno to ułatwiał ,_ ale widać ze zamontowane w_ modelu serwo daje sobie radę z_ ogromnymi kołami ._
Tokens: 1_ 2_____ 3____ 4 5___ 6_________ 7__ 8_ 9____ 10 11______ 12 13_ 14___ 15 16_________ 17 18____ 19___ 20__ 21___ 22__ 23 24_______ 25____ 26

Chunks:

(ChunkerEvaluator) Sentence #618 from 00102121 from sent10

Text  : Adam i Bazyl docierali silnik O . S . Max 21VG zamontowany w_ modelu Hot Bodies Lightning ._
Tokens: 1___ 2 3____ 4________ 5_____ 6 7 8 9 10_ 11__ 12_________ 13 14____ 15_ 16____ 17_______ 18

Chunks:
  TruePositive nam [1,1] = Adam (confidence=0.98)
  TruePositive nam [3,3] = Bazyl (confidence=1.00)
  TruePositive nam [6,11] = O . S . Max 21VG (confidence=0.89)
  TruePositive nam [15,17] = Hot Bodies Lightning (confidence=1.00)

(ChunkerEvaluator) Sentence #619 from 00102121 from sent11

Text  : Silnik ma konstrukcję ABL ( Advanced Bi - Metallic Liner )_ ,_ która wyróżnia się pokryciem mosiężnego cylindra dwoma warstwami specjalnie zaprojektowanych stopów (_ w_ typowych silnikach o_ konstrukcji ABC mosiężny cylinder pokryty jest pojedynczą warstwą chromu )_ ._
Tokens: 1_____ 2_ 3__________ 4__ 5 6_______ 7_ 8 9_______ 10___ 11 12 13___ 14______ 15_ 16_______ 17________ 18______ 19___ 20_______ 21________ 22______________ 23____ 24 25 26______ 27_______ 28 29_________ 30_ 31______ 32______ 33_____ 34__ 35________ 36_____ 37____ 38 39

Chunks:
  TruePositive nam [4,4] = ABL (confidence=0.94)
  TruePositive nam [6,10] = Advanced Bi - Metallic Liner (confidence=0.99)
  TruePositive nam [30,30] = ABC (confidence=0.78)

(ChunkerEvaluator) Sentence #620 from 00102121 from sent12

Text  : Według informacji producenta konstrukcja ABL zapewnia lepszą wytrzymałość cylindra na temperaturę i_ zużycie mechaniczne ._
Tokens: 1_____ 2_________ 3_________ 4__________ 5__ 6_______ 7_____ 8___________ 9_______ 10 11_________ 12 13_____ 14_________ 15

Chunks:
  TruePositive nam [5,5] = ABL (confidence=1.00)

2017-06-14 20:13:34,337 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 43 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102158.xml
(ChunkerEvaluator) Sentence #621 from 00102158 from sent1

Text  : Inwestycje drogowe w mijającej kadencji nie ominęły też ścisłego centrum Gdańska ._
Tokens: 1_________ 2______ 3 4________ 5_______ 6__ 7______ 8__ 9_______ 10_____ 11_____ 12

Chunks:
  TruePositive nam [11,11] = Gdańska (confidence=1.00)

(ChunkerEvaluator) Sentence #622 from 00102158 from sent2

Text  : Pierwszą z dwóch uzupełniających się wzajemnie inwestycji drogowych w tej części miasta była gruntowna przebudowa wiaduktu Błędnik ,_ który w_ niezmienionej postaci funkcjonował od 1970 roku ,_ czyli od daty ukończenia jego budowy ._
Tokens: 1_______ 2 3____ 4______________ 5__ 6________ 7_________ 8________ 9 10_ 11____ 12____ 13__ 14_______ 15________ 16______ 17_____ 18 19___ 20 21___________ 22_____ 23__________ 24 25__ 26__ 27 28___ 29 30__ 31________ 32__ 33____ 34

Chunks:
  TruePositive nam [17,17] = Błędnik (confidence=0.73)

(ChunkerEvaluator) Sentence #623 from 00102158 from sent3

Text  : W ramach projektu wzmocniono płytę i podpory wiaduktu , wymieniono nawierzchnię oraz tory tramwajowe na wiadukcie i_ dojazdach ,_ wyremontowano tunele i_ estakady dla pieszych i_ rowerzystów ._
Tokens: 1 2_____ 3_______ 4_________ 5____ 6 7______ 8_______ 9 10________ 11__________ 12__ 13__ 14________ 15 16_______ 17 18_______ 19 20___________ 21____ 22 23______ 24_ 25______ 26 27_________ 28

Chunks:

(ChunkerEvaluator) Sentence #624 from 00102158 from sent4

Text  : Dodatkowo pracami objęto skrzyżowanie alei Zwycięstwa i ulicy 3 Maja ,_ gdzie również wymieniono nawierzchnię dróg i_ tory tramwajowe ,_ a_ także wyremontowano perony i_ przystanki ._
Tokens: 1________ 2______ 3_____ 4___________ 5___ 6_________ 7 8____ 9 10__ 11 12___ 13_____ 14________ 15__________ 16__ 17 18__ 19________ 20 21 22___ 23___________ 24____ 25 26________ 27

Chunks:
  FalsePositive nam [6,6] = Zwycięstwa (confidence=0.84) (incorrect boundry)
  FalsePositive nam [10,10] = Maja (confidence=1.00) (incorrect boundry)
  FalseNegative nam [5,6] = alei Zwycięstwa
  FalseNegative nam [9,10] = 3 Maja

(ChunkerEvaluator) Sentence #625 from 00102158 from sent5

Text  : Całkowity koszt przebudowy Błędnika oraz skrzyżowania wyniósł 38 mln zł ,_ a_ wyremontowany wiadukt oddano do użytku we wrześniu 2007 roku ._
Tokens: 1________ 2____ 3_________ 4_______ 5___ 6___________ 7______ 8_ 9__ 10 11 12 13___________ 14_____ 15____ 16 17____ 18 19______ 20__ 21__ 22

Chunks:
  TruePositive nam [4,4] = Błędnika (confidence=0.99)
  TruePositive nam [10,10] = zł (confidence=1.00)

(ChunkerEvaluator) Sentence #626 from 00102158 from sent6

Text  : Projektem dopełniającym prace drogowe w obrębie Śródmieścia była przebudowa ulic Podwale Grodzkie i_ Wały Jagiellońskie ,_ które zalicza się do głównych arterii komunikacyjnych miasta ._
Tokens: 1________ 2____________ 3____ 4______ 5 6______ 7__________ 8___ 9_________ 10__ 11_____ 12______ 13 14__ 15___________ 16 17___ 18_____ 19_ 20 21______ 22_____ 23_____________ 24____ 25

Chunks:
  TruePositive nam [7,7] = Śródmieścia (confidence=0.99)
  TruePositive nam [11,12] = Podwale Grodzkie (confidence=1.00)
  TruePositive nam [14,15] = Wały Jagiellońskie (confidence=1.00)

(ChunkerEvaluator) Sentence #627 from 00102158 from sent7

Text  : Ponadto stanowią one fragment drogi krajowej nr 1 a także leżą w_ bezpośredniej bliskości dróg krajowych nr 6_ i_ 7_ ,_ przez co ciąg ulic Podwale Grodzkie –_ Wały Jagiellońskie jest narażony na przenoszenie bardzo dużego ruchu kołowego ,_ w_ tym ciężkiego ruchu tranzytowego ._
Tokens: 1______ 2_______ 3__ 4_______ 5____ 6_______ 7_ 8 9 10___ 11__ 12 13___________ 14_______ 15__ 16_______ 17 18 19 20 21 22___ 23 24__ 25__ 26_____ 27______ 28 29__ 30___________ 31__ 32______ 33 34__________ 35____ 36____ 37___ 38______ 39 40 41_ 42_______ 43___ 44__________ 45

Chunks:
  TruePositive nam [5,8] = drogi krajowej nr 1 (confidence=0.97)
  TruePositive nam [26,27] = Podwale Grodzkie (confidence=1.00)
  TruePositive nam [29,30] = Wały Jagiellońskie (confidence=1.00)
  FalsePositive nam [15,18] = dróg krajowych nr 6 (confidence=0.84) (incorrect boundry)
  FalseNegative nam [15,20] = dróg krajowych nr 6 i 7

(ChunkerEvaluator) Sentence #628 from 00102158 from sent8

Text  : Do najważniejszych elementów zakończonej we wrześniu 2007 roku przebudowy można zaliczyć :_ wymianę nawierzchni i_ regulację istniejących jezdni ,_ wymianę nawierzchni chodników ,_ która została dostosowana do okolicznej zabudowy ,_ wprowadzenie dwukierunkowych ścieżek rowerowych po obu stronach modernizowanych jezdni ,_ wprowadzenie pasa ruchu tylko dla autobusów na jezdni w_ kierunku Wrzeszcza ,_ wprowadzenie dodatkowych lewoskrętów na skrzyżowaniach z_ ul ._ Wały Piastowskie i_ ul ._ Hucisko oraz wymianę infrastruktury tramwajowej ,_ w_ tym dostosowanie wysokościowe nawierzchni peronów tramwajowych do potrzeb osób niepełnosprawnych ._
Tokens: 1_ 2______________ 3________ 4__________ 5_ 6_______ 7___ 8___ 9_________ 10___ 11______ 12 13_____ 14_________ 15 16_______ 17__________ 18____ 19 20_____ 21_________ 22_______ 23 24___ 25_____ 26_________ 27 28________ 29______ 30 31__________ 32_____________ 33_____ 34________ 35 36_ 37______ 38_____________ 39____ 40 41__________ 42__ 43___ 44___ 45_ 46_______ 47 48____ 49 50______ 51_______ 52 53__________ 54_________ 55_________ 56 57____________ 58 59 60 61__ 62_________ 63 64 65 66_____ 67__ 68_____ 69____________ 70_________ 71 72 73_ 74__________ 75__________ 76_________ 77_____ 78__________ 79 80_____ 81__ 82_______________ 83

Chunks:
  TruePositive nam [51,51] = Wrzeszcza (confidence=0.99)
  TruePositive nam [61,62] = Wały Piastowskie (confidence=1.00)
  TruePositive nam [66,66] = Hucisko (confidence=1.00)

2017-06-14 20:13:34,411 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 44 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102159.xml
(ChunkerEvaluator) Sentence #629 from 00102159 from sent1

Text  : Stanowisko Rady Miasta Lublin z dnia 26 maja 2011 r_ ._ w_ sprawie uczczenia pamięci Stefana Kardynała Wyszyńskiego ,_ Prymasa Polski w_ 30 ._ rocznicę śmierci
Tokens: 1_________ 2___ 3_____ 4_____ 5 6___ 7_ 8___ 9___ 10 11 12 13_____ 14_______ 15_____ 16_____ 17_______ 18__________ 19 20_____ 21____ 22 23 24 25______ 26_____

Chunks:
  FalsePositive nam [1,4] = Stanowisko Rady Miasta Lublin (confidence=0.60) (incorrect boundry)
  FalsePositive nam [16,18] = Stefana Kardynała Wyszyńskiego (confidence=1.00) (incorrect boundry)
  FalsePositive nam [20,21] = Prymasa Polski (confidence=0.80) (incorrect boundry)
  FalseNegative nam [2,3] = Rady Miasta
  FalseNegative nam [4,4] = Lublin
  FalseNegative nam [16,16] = Stefana
  FalseNegative nam [18,18] = Wyszyńskiego
  FalseNegative nam [21,21] = Polski
  FalseNegative nam [23,26] = 30 . rocznicę śmierci

(ChunkerEvaluator) Sentence #630 from 00102159 from sent2

Text  : W dniu 28 maja 1981 roku , w uroczystość Wniebowstąpienia Pańskiego ,_ o_ godzinie 4_ ._ 40 nad ranem ,_ po ciężkiej chorobie i_ wielkich cierpieniach w_ osiemdziesiątym roku życia zmarł wielki mąż stanu ,_ arcybiskup metropolita Gniezna i_ Warszawy ,_ prymas Polski –_ Stefan kardynał Wyszyński ;_ Ten ,_ który za życia już zwany był Pater Patriae ,_ którego Największy z_ rodu Polaków nazwał Prymasem Tysiąclecia ,_ któremu –_ nie tylko z_ racji historycznych –_ przypisywano powszechnie rolę duchowego interreksa ;_ współczesny Mojżesz ,_ który wpatrzony w_ Pannę świętą ,_ co jasnej broni Częstochowy ,_ przeprowadził naród polski przez czerwone morze komunizmu .__
Tokens: 1 2___ 3_ 4___ 5___ 6___ 7 8 9__________ 10______________ 11_______ 12 13 14______ 15 16 17 18_ 19___ 20 21 22______ 23______ 24 25______ 26__________ 27 28_____________ 29__ 30___ 31___ 32____ 33_ 34___ 35 36________ 37_________ 38_____ 39 40______ 41 42____ 43____ 44 45____ 46______ 47_______ 48 49_ 50 51___ 52 53___ 54_ 55___ 56_ 57___ 58_____ 59 60_____ 61________ 62 63__ 64_____ 65____ 66______ 67_________ 68 69_____ 70 71_ 72___ 73 74___ 75___________ 76 77__________ 78_________ 79__ 80_______ 81________ 82 83_________ 84_____ 85 86___ 87_______ 88 89___ 90____ 91 92 93____ 94___ 95_________ 96 97___________ 98___ 99____ 100__ 101_____ 102__ 103______ 104

Chunks:
  TruePositive nam [10,11] = Wniebowstąpienia Pańskiego (confidence=0.99)
  TruePositive nam [38,38] = Gniezna (confidence=0.98)
  TruePositive nam [40,40] = Warszawy (confidence=1.00)
  TruePositive nam [43,43] = Polski (confidence=1.00)
  TruePositive nam [45,45] = Stefan (confidence=1.00)
  TruePositive nam [47,47] = Wyszyński (confidence=0.98)
  TruePositive nam [57,58] = Pater Patriae (confidence=1.00)
  TruePositive nam [64,64] = Polaków (confidence=1.00)
  TruePositive nam [84,84] = Mojżesz (confidence=0.99)
  TruePositive nam [95,95] = Częstochowy (confidence=0.98)
  FalsePositive nam [89,89] = Pannę (confidence=0.90) (incorrect boundry)
  FalseNegative nam [66,67] = Prymasem Tysiąclecia
  FalseNegative nam [89,90] = Pannę świętą

(ChunkerEvaluator) Sentence #631 from 00102159 from sent3

Text  : Rada Miasta Lublin VI kadencji , zebrana w dniu 26 maja 2011 roku na swej X_ sesji ,_ pomna roli w_ dziejach Polski i_ nieocenionych zasług Patrona sali swych obrad ,_ w_ dziele pielęgnowania i_ przekazywania kolejnym pokoleniom Polaków miłości do Ojczyzny ,_ czci pamięć Prymasa Tysiąclecia w_ 30 ._ rocznicę Jego śmierci i_ w_ roku 110 ._ rocznicy Jego urodzin ._
Tokens: 1___ 2_____ 3_____ 4_ 5_______ 6 7______ 8 9___ 10 11__ 12__ 13__ 14 15__ 16 17___ 18 19___ 20__ 21 22______ 23____ 24 25___________ 26____ 27_____ 28__ 29___ 30___ 31 32 33____ 34___________ 35 36___________ 37______ 38________ 39_____ 40_____ 41 42______ 43 44__ 45____ 46_____ 47_________ 48 49 50 51______ 52__ 53_____ 54 55 56__ 57_ 58 59______ 60__ 61_____ 62

Chunks:
  TruePositive nam [1,3] = Rada Miasta Lublin (confidence=1.00)
  TruePositive nam [23,23] = Polski (confidence=1.00)
  TruePositive nam [39,39] = Polaków (confidence=0.99)
  TruePositive nam [46,47] = Prymasa Tysiąclecia (confidence=0.95)
  FalsePositive nam [42,42] = Ojczyzny (confidence=0.71) (incorrect boundry)

(ChunkerEvaluator) Sentence #632 from 00102159 from sent4

Text  : Wspominając związki księdza Stefana Wyszyńskiego z Lublinem – jako studenta i_ doktora Katolickiego Uniwersytetu Lubelskiego ,_ a_ następnie Wielkiego Kanclerza tej Uczelni –_ radni Rady Miasta wyrażają wdzięczność Opatrzności za Pasterza ,_ który w_ trudnych powojennych latach 1946 -_ 1948 kierował Kościołem lubelskim ._
Tokens: 1__________ 2______ 3______ 4______ 5___________ 6 7_______ 8 9___ 10______ 11 12_____ 13__________ 14__________ 15_________ 16 17 18_______ 19_______ 20_______ 21_ 22_____ 23 24___ 25__ 26____ 27______ 28_________ 29_________ 30 31______ 32 33___ 34 35______ 36_________ 37____ 38__ 39 40__ 41______ 42_______ 43_______ 44

Chunks:
  TruePositive nam [4,5] = Stefana Wyszyńskiego (confidence=1.00)
  TruePositive nam [7,7] = Lublinem (confidence=1.00)
  TruePositive nam [13,15] = Katolickiego Uniwersytetu Lubelskiego (confidence=0.97)
  TruePositive nam [25,26] = Rady Miasta (confidence=0.99)
  FalsePositive nam [19,20] = Wielkiego Kanclerza (confidence=0.99) (incorrect boundry)
  FalsePositive nam [31,31] = Pasterza (confidence=0.92) (incorrect boundry)
  FalsePositive nam [42,43] = Kościołem lubelskim (confidence=0.69) (incorrect boundry)
  FalseNegative nam [42,42] = Kościołem

(ChunkerEvaluator) Sentence #633 from 00102159 from sent5

Text  : Rada Miasta Lublin dostrzega potrzebę pogłębiania w społeczeństwie świadomości znaczenia wartości kształtujących od wieków szeroko pojętą tożsamość kulturową Polaków –_ tożsamość religijną ,_ narodową i_ rodzinną ,_ uznając przy tym ,_ iż nauczanie Prymasa Tysiąclecia ,_ zachowując swą aktualność ,_ powinno stale nam towarzyszyć ,_ będąc drogowskazem w_ drodze ku ciągłej odnowie moralnej i_ świętości ._
Tokens: 1___ 2_____ 3_____ 4________ 5_______ 6__________ 7 8_____________ 9__________ 10_______ 11______ 12____________ 13 14____ 15_____ 16____ 17_______ 18_______ 19_____ 20 21_______ 22_______ 23 24______ 25 26______ 27 28_____ 29__ 30_ 31 32 33_______ 34_____ 35_________ 36 37________ 38_ 39________ 40 41_____ 42___ 43_ 44_________ 45 46___ 47__________ 48 49____ 50 51_____ 52_____ 53______ 54 55_______ 56

Chunks:
  TruePositive nam [1,3] = Rada Miasta Lublin (confidence=1.00)
  TruePositive nam [19,19] = Polaków (confidence=1.00)
  TruePositive nam [34,35] = Prymasa Tysiąclecia (confidence=0.95)

2017-06-14 20:13:34,499 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 45 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102216.xml
(ChunkerEvaluator) Sentence #634 from 00102216 from sent1

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #635 from 00102216 from sent2

Text  : Na użytek niniejszego rozporządzenia stosuje się następujące definicje :
Tokens: 1_ 2_____ 3__________ 4_____________ 5______ 6__ 7__________ 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #636 from 00102216 from sent3

Text  : 1 ) „ przesył ” oznacza transport gazu ziemnego siecią składającą się głównie z_ gazociągów wysokociśnieniowych ,_ inną niż sieć gazociągów kopalnianych i_ inną niż część wysokociśnieniowych gazociągów używanych głównie w_ ramach dystrybucji lokalnej gazu ziemnego ,_ w_ celu dostarczenia go odbiorcom ,_ z_ wyłączeniem dostaw ;_
Tokens: 1 2 3 4______ 5 6______ 7________ 8___ 9_______ 10____ 11________ 12_ 13_____ 14 15________ 16_________________ 17 18__ 19_ 20__ 21________ 22__________ 23 24__ 25_ 26___ 27_________________ 28________ 29_______ 30_____ 31 32____ 33_________ 34______ 35__ 36______ 37 38 39__ 40__________ 41 42_______ 43 44 45_________ 46____ 47

Chunks:

(ChunkerEvaluator) Sentence #637 from 00102216 from sent4

Text  : 2 ) „ umowa przesyłowa ” oznacza umowę , którą operator systemu przesyłowego zawarł z_ użytkownikiem sieci w_ celu świadczenia usługi przesyłu ;_
Tokens: 1 2 3 4____ 5_________ 6 7______ 8____ 9 10___ 11______ 12_____ 13__________ 14____ 15 16___________ 17___ 18 19__ 20_________ 21____ 22______ 23

Chunks:

(ChunkerEvaluator) Sentence #638 from 00102216 from sent5

Text  : 3 ) „ zdolność ” oznacza maksymalny przepływ — wyrażony w_ normalnych metrach sześciennych na jednostkę czasu lub w_ jednostkach energii na jednostkę czasu —_ do którego użytkownik sieci jest uprawniony zgodnie z_ postanowieniami umowy przesyłowej ;_
Tokens: 1 2 3 4_______ 5 6______ 7_________ 8_______ 9 10______ 11 12________ 13_____ 14__________ 15 16_______ 17___ 18_ 19 20_________ 21_____ 22 23_______ 24___ 25 26 27_____ 28________ 29___ 30__ 31________ 32_____ 33 34_____________ 35___ 36_________ 37

Chunks:

(ChunkerEvaluator) Sentence #639 from 00102216 from sent6

Text  : 4 ) „ niewykorzystana zdolność ” oznacza zdolność ciągłą ,_ jaką użytkownik sieci nabył zgodnie z_ umową przesyłową ,_ ale na którą nie złożył nominacji w_ terminie określonym w_ umowie ;_
Tokens: 1 2 3 4______________ 5_______ 6 7______ 8_______ 9_____ 10 11__ 12________ 13___ 14___ 15_____ 16 17___ 18________ 19 20_ 21 22___ 23_ 24____ 25_______ 26 27______ 28________ 29 30____ 31

Chunks:

(ChunkerEvaluator) Sentence #640 from 00102216 from sent7

Text  : 5 ) „ zarządzanie ograniczeniami ” oznacza portfelowe zarządzanie zdolnościami operatora systemu przesyłowego w_ celu optymalnego i_ maksymalnego wykorzystania zdolności technicznej oraz wykrycie we właściwym czasie przyszłych ograniczeń oraz wąskich gardeł ;_
Tokens: 1 2 3 4__________ 5_____________ 6 7______ 8_________ 9__________ 10__________ 11_______ 12_____ 13__________ 14 15__ 16_________ 17 18__________ 19___________ 20_______ 21_________ 22__ 23______ 24 25_______ 26____ 27________ 28________ 29__ 30_____ 31____ 32

Chunks:

(ChunkerEvaluator) Sentence #641 from 00102216 from sent8

Text  : 6 ) „ rynek wtórny ” oznacza rynek zdolności ,_ którymi handluje się w_ inny sposób niż na rynku pierwotnym ;_
Tokens: 1 2 3 4____ 5_____ 6 7______ 8____ 9________ 10 11_____ 12______ 13_ 14 15__ 16____ 17_ 18 19___ 20________ 21

Chunks:

(ChunkerEvaluator) Sentence #642 from 00102216 from sent9

Text  : 7 ) „ nominacja ” oznacza wcześniejsze powiadomienie operatora systemu przesyłowego przez użytkownika sieci o_ faktycznej ilości gazu ,_ którą użytkownik sieci chciał by zatłoczyć do systemu lub z_ niego odebrać ;_
Tokens: 1 2 3 4________ 5 6______ 7___________ 8____________ 9________ 10_____ 11__________ 12___ 13_________ 14___ 15 16________ 17____ 18__ 19 20___ 21________ 22___ 23____ 24 25_______ 26 27_____ 28_ 29 30___ 31_____ 32

Chunks:

(ChunkerEvaluator) Sentence #643 from 00102216 from sent10

Text  : 8 ) „ renominacja ” oznacza powiadomienie operatora o skorygowanej nominacji ;_
Tokens: 1 2 3 4__________ 5 6______ 7____________ 8________ 9 10__________ 11_______ 12

Chunks:

(ChunkerEvaluator) Sentence #644 from 00102216 from sent11

Text  : 9 ) „ integralność systemu ” w odniesieniu do sieci przesyłowej ,_ włączając w_ to niezbędne instalacje przesyłowe ,_ oznacza każdą sytuację ,_ w_ której ciśnienie i_ jakość gazu ziemnego pozostaje wewnątrz przedziału ,_ którego dolną i_ górną granicę określa operator systemu przesyłowego ,_ tak ,_ że przesył gazu ziemnego jest zapewniony z_ technicznego punktu widzenia ;_
Tokens: 1 2 3 4___________ 5______ 6 7 8__________ 9_ 10___ 11_________ 12 13_______ 14 15 16_______ 17________ 18________ 19 20_____ 21___ 22______ 23 24 25____ 26_______ 27 28____ 29__ 30______ 31_______ 32______ 33________ 34 35_____ 36___ 37 38___ 39_____ 40_____ 41______ 42_____ 43__________ 44 45_ 46 47 48_____ 49__ 50______ 51__ 52________ 53 54__________ 55____ 56______ 57

Chunks:

(ChunkerEvaluator) Sentence #645 from 00102216 from sent12

Text  : 10 ) „ okres bilansowania ” oznacza okres , w_ którym odbiór pewnej ilości gazu ziemnego z_ systemu ,_ wyrażonej w_ jednostkach energii ,_ musi być wyrównany przez każdego użytkownika sieci poprzez zatłoczenie tej samej ilości gazu do sieci przesyłowej zgodnie z_ umową przesyłową lub kodeksem sieci ;_
Tokens: 1_ 2 3 4____ 5___________ 6 7______ 8____ 9 10 11____ 12____ 13____ 14____ 15__ 16______ 17 18_____ 19 20_______ 21 22_________ 23_____ 24 25__ 26_ 27_______ 28___ 29_____ 30_________ 31___ 32_____ 33_________ 34_ 35___ 36____ 37__ 38 39___ 40_________ 41_____ 42 43___ 44________ 45_ 46______ 47___ 48

Chunks:

(ChunkerEvaluator) Sentence #646 from 00102216 from sent13

Text  : 11 ) „ użytkownik sieci ” oznacza odbiorcę lub potencjalnego odbiorcę usług świadczonych przez operatora systemu przesyłowego ,_ jak również samych operatorów systemu przesyłowego w_ takim zakresie ,_ w_ jakim jest to niezbędne dla wypełniania ich funkcji związanych z_ przesyłem ;_
Tokens: 1_ 2 3 4_________ 5____ 6 7______ 8_______ 9__ 10___________ 11______ 12___ 13__________ 14___ 15_______ 16_____ 17__________ 18 19_ 20_____ 21____ 22________ 23_____ 24__________ 25 26___ 27______ 28 29 30___ 31__ 32 33_______ 34_ 35_________ 36_ 37_____ 38________ 39 40_______ 41

Chunks:

2017-06-14 20:13:34,602 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 46 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102229.xml
(ChunkerEvaluator) Sentence #647 from 00102229 from sent1

Text  : g ) określenie " transport międzynarodowy " oznacza wszelki przewóz statkiem morskim lub powietrznym ,_ środkiem transportu kolejowego lub samochodowego ,_ eksploatowanym przez przedsiębiorstwo Umawiającego się Państwa ,_ z_ wyjątkiem przypadku ,_ gdy statek morski lub powietrzny ,_ środek transportu kolejowego lub samochodowego jest eksploatowany wyłącznie między miejscami położonymi w_ drugim Umawiającym się Państwie ;_
Tokens: 1 2 3_________ 4 5________ 6_____________ 7 8______ 9______ 10_____ 11______ 12_____ 13_ 14_________ 15 16______ 17________ 18________ 19_ 20___________ 21 22____________ 23___ 24______________ 25__________ 26_ 27_____ 28 29 30_______ 31_______ 32 33_ 34____ 35____ 36_ 37________ 38 39____ 40________ 41________ 42_ 43___________ 44__ 45___________ 46_______ 47____ 48_______ 49________ 50 51____ 52_________ 53_ 54______ 55

Chunks:
  FalsePositive nam [54,54] = Państwie (confidence=0.50) (incorrect boundry)

(ChunkerEvaluator) Sentence #648 from 00102229 from sent2

Text  : h ) określenie " obywatel " oznacza :
Tokens: 1 2 3_________ 4 5_______ 6 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #649 from 00102229 from sent3

Text  : l .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #650 from 00102229 from sent4

Text  : każdą osobę fizyczną posiadającą obywatelstwo Umawiającego się Państwa oraz
Tokens: 1____ 2____ 3_______ 4__________ 5___________ 6___________ 7__ 8______ 9___

Chunks:
  FalsePositive nam [6,8] = Umawiającego się Państwa (confidence=0.60) (incorrect boundry)

(ChunkerEvaluator) Sentence #651 from 00102229 from sent5

Text  : II .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #652 from 00102229 from sent6

Text  : każdą osobę prawną , spółkę osobową lub stowarzyszenie utworzone na podstawie ustawodawstwa obowiązującego w_ Umawiającym się Państwie ;_
Tokens: 1____ 2____ 3_____ 4 5_____ 6______ 7__ 8_____________ 9________ 10 11_______ 12___________ 13____________ 14 15_________ 16_ 17______ 18

Chunks:

(ChunkerEvaluator) Sentence #653 from 00102229 from sent7

Text  : i ) określenie " majątek " oznacza mienie ruchome i_ nieruchome i_ obejmuje w_ szczególności ,_ ale nie wyłącznie ,_ środki pieniężne w_ gotówce ,_ akcje i_ inne dokumenty potwierdzające prawa majątkowe ,_ weksle ,_ obligacje lub inne wierzytelności ,_ a_ także patenty ,_ znaki towarowe ,_ prawa autorskie lub inne podobne prawa lub mienie ;_
Tokens: 1 2 3_________ 4 5______ 6 7______ 8_____ 9______ 10 11________ 12 13______ 14 15___________ 16 17_ 18_ 19_______ 20 21____ 22_______ 23 24_____ 25 26___ 27 28__ 29_______ 30____________ 31___ 32_______ 33 34____ 35 36_______ 37_ 38__ 39____________ 40 41 42___ 43_____ 44 45___ 46______ 47 48___ 49_______ 50_ 51__ 52_____ 53___ 54_ 55____ 56

Chunks:

(ChunkerEvaluator) Sentence #654 from 00102229 from sent8

Text  : j ) określenie " właściwy organ " oznacza :
Tokens: 1 2 3_________ 4 5_______ 6____ 7 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #655 from 00102229 from sent9

Text  : l .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #656 from 00102229 from sent10

Text  : w Republice Tadżykistanu , Ministerstwo Finansów lub jego upoważnionego przedstawiciela ._
Tokens: 1 2________ 3___________ 4 5___________ 6_______ 7__ 8___ 9____________ 10_____________ 11

Chunks:
  TruePositive nam [2,3] = Republice Tadżykistanu (confidence=1.00)
  TruePositive nam [5,6] = Ministerstwo Finansów (confidence=0.94)

(ChunkerEvaluator) Sentence #657 from 00102229 from sent11

Text  : II .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #658 from 00102229 from sent12

Text  : w Rzeczypospolitej Polskiej , Ministra Finansów lub jego upoważnionego przedstawiciela ._
Tokens: 1 2_______________ 3_______ 4 5_______ 6_______ 7__ 8___ 9____________ 10_____________ 11

Chunks:
  TruePositive nam [2,3] = Rzeczypospolitej Polskiej (confidence=1.00)
  TruePositive nam [5,6] = Ministra Finansów (confidence=0.68)

(ChunkerEvaluator) Sentence #659 from 00102229 from sent13

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #660 from 00102229 from sent14

Text  : Przy stosowaniu niniejszej umowy przez Umawiające się Państwo , jeżeli z_ kontekstu nie wynika inaczej ,_ każde określenie w_ niej niezdefiniowane będzie miało takie znaczenie ,_ jakie przyjmuje się zgodnie z_ prawem tego Państwa w_ zakresie podatków ,_ do których ma zastosowanie niniejsza umowa ._
Tokens: 1___ 2_________ 3_________ 4____ 5____ 6_________ 7__ 8______ 9 10____ 11 12_______ 13_ 14____ 15_____ 16 17___ 18________ 19 20__ 21_____________ 22____ 23___ 24___ 25_______ 26 27___ 28_______ 29_ 30_____ 31 32____ 33__ 34_____ 35 36______ 37______ 38 39 40_____ 41 42__________ 43_______ 44___ 45

Chunks:

(ChunkerEvaluator) Sentence #661 from 00102229 from sent15

Text  : Artykuł 4
Tokens: 1______ 2

Chunks:

(ChunkerEvaluator) Sentence #662 from 00102229 from sent16

Text  : Miejsce zamieszkania lub siedziba
Tokens: 1______ 2___________ 3__ 4_______

Chunks:

(ChunkerEvaluator) Sentence #663 from 00102229 from sent17

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #664 from 00102229 from sent18

Text  : W rozumieniu niniejszej umowy , określenie " osoba mająca miejsce zamieszkania lub siedzibę w_ Umawiającym się Państwie "_ oznacza każdą osobę ,_ która zgodnie z_ prawem tego Państwa podlega tam opodatkowaniu z_ uwagi na miejsce zamieszkania ,_ miejsce stałego pobytu ,_ siedzibę zarządu albo inne kryterium o_ podobnym charakterze ._
Tokens: 1 2_________ 3_________ 4____ 5 6_________ 7 8____ 9_____ 10_____ 11__________ 12_ 13______ 14 15_________ 16_ 17______ 18 19_____ 20___ 21___ 22 23___ 24_____ 25 26____ 27__ 28_____ 29_____ 30_ 31___________ 32 33___ 34 35_____ 36__________ 37 38_____ 39_____ 40____ 41 42______ 43_____ 44__ 45__ 46_______ 47 48______ 49_________ 50

Chunks:
  FalsePositive nam [15,17] = Umawiającym się Państwie (confidence=0.58) (incorrect boundry)

(ChunkerEvaluator) Sentence #665 from 00102229 from sent19

Text  : Określenie to nie obejmuje jednak osoby , która podlega opodatkowaniu w_ tym Umawiającym się Państwie ,_ w_ zakresie dochodu osiąganego ze źródeł znajdujących się tylko w_ tym Państwie lub z_ tytułu majątku położonego w_ tym Państwie ._
Tokens: 1_________ 2_ 3__ 4_______ 5_____ 6____ 7 8____ 9______ 10___________ 11 12_ 13_________ 14_ 15______ 16 17 18______ 19_____ 20________ 21 22____ 23__________ 24_ 25___ 26 27_ 28______ 29_ 30 31____ 32_____ 33________ 34 35_ 36______ 37

Chunks:
  FalsePositive nam [15,15] = Państwie (confidence=0.86) (incorrect boundry)

(ChunkerEvaluator) Sentence #666 from 00102229 from sent20

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #667 from 00102229 from sent21

Text  : Jeżeli , stosownie do postanowień ustępu 1 niniejszego artykułu ,_ osoba fizyczna ma miejsce zamieszkania w_ obu Umawiających się Państwach ,_ to jej status określa się w_ sposób następujący :_
Tokens: 1_____ 2 3________ 4_ 5__________ 6_____ 7 8__________ 9_______ 10 11___ 12______ 13 14_____ 15__________ 16 17_ 18__________ 19_ 20_______ 21 22 23_ 24____ 25_____ 26_ 27 28____ 29_________ 30

Chunks:
  FalsePositive nam [20,20] = Państwach (confidence=0.52) (incorrect boundry)

(ChunkerEvaluator) Sentence #668 from 00102229 from sent22

Text  : a ) osobę uważa się za mającą miejsce zamieszkania tylko w_ tym Państwie ,_ w_ którym ma ona stałe miejsce zamieszkania ;_ jeżeli ma ona stałe miejsce zamieszkania w_ obu Umawiających się Państwach ,_ to uważa się ,_ że ma miejsce zamieszkania w_ tym Państwie ,_ z_ którym ma ona silniejsze powiązania osobiste lub gospodarcze (_ ośrodek interesów życiowych )_ ;_
Tokens: 1 2 3____ 4____ 5__ 6_ 7_____ 8______ 9___________ 10___ 11 12_ 13______ 14 15 16____ 17 18_ 19___ 20_____ 21__________ 22 23____ 24 25_ 26___ 27_____ 28__________ 29 30_ 31__________ 32_ 33_______ 34 35 36___ 37_ 38 39 40 41_____ 42__________ 43 44_ 45______ 46 47 48____ 49 50_ 51________ 52________ 53______ 54_ 55_________ 56 57_____ 58_______ 59_______ 60 61

Chunks:
  FalsePositive nam [33,33] = Państwach (confidence=0.61) (incorrect boundry)

2017-06-14 20:13:34,712 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 47 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102243.xml
(ChunkerEvaluator) Sentence #669 from 00102243 from sent1

Text  : Dziennik Ustaw z 27 marca 2006 Nr 49 poz ._ 359
Tokens: 1_______ 2____ 3 4_ 5____ 6___ 7_ 8_ 9__ 10 11_

Chunks:
  TruePositive nam [1,2] = Dziennik Ustaw (confidence=0.99)

(ChunkerEvaluator) Sentence #670 from 00102243 from sent2

Text  : WYROK TRYBUNAŁU KONSTYTUCYJNEGO
Tokens: 1____ 2________ 3______________

Chunks:
  TruePositive nam [2,3] = TRYBUNAŁU KONSTYTUCYJNEGO (confidence=0.94)

(ChunkerEvaluator) Sentence #671 from 00102243 from sent3

Text  : z dnia 21 marca 2006 r .
Tokens: 1 2___ 3_ 4____ 5___ 6 7

Chunks:

(ChunkerEvaluator) Sentence #672 from 00102243 from sent4

Text  : sygn . akt K13 / 05
Tokens: 1___ 2 3__ 4__ 5 6_

Chunks:
  FalsePositive nam [4,4] = K13 (confidence=0.60) (incorrect boundry)

(ChunkerEvaluator) Sentence #673 from 00102243 from sent5

Text  : Trybunał Konstytucyjny w składzie :
Tokens: 1_______ 2____________ 3 4_______ 5

Chunks:
  TruePositive nam [1,2] = Trybunał Konstytucyjny (confidence=0.94)

(ChunkerEvaluator) Sentence #674 from 00102243 from sent6

Text  : Ewa Łętowska - przewodniczący ,
Tokens: 1__ 2_______ 3 4_____________ 5

Chunks:
  TruePositive nam [1,2] = Ewa Łętowska (confidence=1.00)

(ChunkerEvaluator) Sentence #675 from 00102243 from sent7

Text  : Marian Grzybowski ,
Tokens: 1_____ 2_________ 3

Chunks:
  TruePositive nam [1,2] = Marian Grzybowski (confidence=1.00)

(ChunkerEvaluator) Sentence #676 from 00102243 from sent8

Text  : Wiesław Johann ,
Tokens: 1______ 2_____ 3

Chunks:
  TruePositive nam [1,2] = Wiesław Johann (confidence=1.00)

(ChunkerEvaluator) Sentence #677 from 00102243 from sent9

Text  : Biruta Lewaszkiewicz - Petrykowska - sprawozdawca ,
Tokens: 1_____ 2____________ 3 4__________ 5 6___________ 7

Chunks:
  TruePositive nam [1,4] = Biruta Lewaszkiewicz - Petrykowska (confidence=1.00)

(ChunkerEvaluator) Sentence #678 from 00102243 from sent10

Text  : Marian Zdyb ,
Tokens: 1_____ 2___ 3

Chunks:
  TruePositive nam [1,2] = Marian Zdyb (confidence=1.00)

(ChunkerEvaluator) Sentence #679 from 00102243 from sent11

Text  : protokolant : Krzysztof Zalecki ,
Tokens: 1__________ 2 3________ 4______ 5

Chunks:
  TruePositive nam [3,4] = Krzysztof Zalecki (confidence=1.00)

(ChunkerEvaluator) Sentence #680 from 00102243 from sent12

Text  : po rozpoznaniu , z udziałem wnioskodawcy oraz Sejmu i Prokuratora Generalnego ,_ na rozprawie w_ dniu 21 marca 2006 r_ ._ wniosku Polskiej Organizacji Pracodawców Osób Niepełnosprawnych o_ stwierdzenie ,_ że :_
Tokens: 1_ 2__________ 3 4 5_______ 6___________ 7___ 8____ 9 10_________ 11_________ 12 13 14_______ 15 16__ 17 18___ 19__ 20 21 22_____ 23______ 24_________ 25_________ 26__ 27_______________ 28 29__________ 30 31 32

Chunks:
  TruePositive nam [8,8] = Sejmu (confidence=1.00)
  TruePositive nam [10,11] = Prokuratora Generalnego (confidence=0.98)
  TruePositive nam [23,27] = Polskiej Organizacji Pracodawców Osób Niepełnosprawnych (confidence=0.99)

(ChunkerEvaluator) Sentence #681 from 00102243 from sent13

Text  : 1 ) art . 26c ust . 4a ustawy z_ dnia 27 sierpnia 1997 r_ ._ o_ rehabilitacji zawodowej i_ społecznej oraz zatrudnianiu osób niepełnosprawnych (_ Dz ._ U_ ._ Nr 123 ,_ poz ._ 776 ,_ ze zm ._ )_ jest niezgodny z_ art ._ 2_ Konstytucji ,_
Tokens: 1 2 3__ 4 5__ 6__ 7 8_ 9_____ 10 11__ 12 13______ 14__ 15 16 17 18___________ 19_______ 20 21________ 22__ 23__________ 24__ 25_______________ 26 27 28 29 30 31 32_ 33 34_ 35 36_ 37 38 39 40 41 42__ 43_______ 44 45_ 46 47 48_________ 49

Chunks:
  TruePositive nam [27,30] = Dz . U . (confidence=1.00)
  FalseNegative nam [9,25] = ustawy z dnia 27 sierpnia 1997 r . o rehabilitacji zawodowej i społecznej oraz zatrudnianiu osób niepełnosprawnych

(ChunkerEvaluator) Sentence #682 from 00102243 from sent14

Text  : 2 ) art . 33 ust . 4a pkt 2_ ustawy powołanej w_ punkcie 1_ jest niezgodny z_ art ._ 2_ i_ art ._ 31 ust ._ 3_ Konstytucji ,_
Tokens: 1 2 3__ 4 5_ 6__ 7 8_ 9__ 10 11____ 12_______ 13 14_____ 15 16__ 17_______ 18 19_ 20 21 22 23_ 24 25 26_ 27 28 29_________ 30

Chunks:

(ChunkerEvaluator) Sentence #683 from 00102243 from sent15

Text  : 3 ) art . 1 pkt 26 lit . f_ i_ pkt 27 w_ zakresie dotyczącym ust ._ 7a w_ związku z_ art ._ 19 ustawy z_ dnia 20 grudnia 2002 r_ ._ o_ zmianie ustawy o_ rehabilitacji zawodowej i_ społecznej oraz zatrudnianiu osób niepełnosprawnych oraz o_ zmianie niektórych innych ustaw (_ Dz ._ U_ ._ z_ 2003 r_ ._ Nr 7_ ,_ poz ._ 79 ,_ ze zm ._ )_ ,_ w_ odniesieniu do prowadzących zakłady pracy chronionej ,_ którzy przed dniem 23 stycznia 2003 r_ ._ dokonali ze środków zakładowego funduszu rehabilitacji osób niepełnosprawnych wydatków na nabycie ,__ wytworzenie lub ulepszenie środków trwałych w__ związku z__ modernizacją zakładu ,__ utworzeniem lub przystosowaniem stanowisk pracy dla osób niepełnosprawnych ,__ budową lub rozbudową bazy rehabilitacyjnej ,__ wypoczynkowej lub socjalnej oraz na_ zakup środków transportu ,__ jest niezgodny z__ art .__ 2__ w__ związku z__ art .__ 22_ ,__ art .__ 31_ ust .__ 3__ i__ art .__ 64_ ust .__ 3__ Konstytucji ,__
Tokens: 1 2 3__ 4 5 6__ 7_ 8__ 9 10 11 12_ 13 14 15______ 16________ 17_ 18 19 20 21_____ 22 23_ 24 25 26____ 27 28__ 29 30_____ 31__ 32 33 34 35_____ 36____ 37 38___________ 39_______ 40 41________ 42__ 43__________ 44__ 45_______________ 46__ 47 48_____ 49________ 50____ 51___ 52 53 54 55 56 57 58__ 59 60 61 62 63 64_ 65 66 67 68 69 70 71 72 73 74_________ 75 76__________ 77_____ 78___ 79________ 80 81____ 82___ 83___ 84 85______ 86__ 87 88 89______ 90 91_____ 92_________ 93______ 94___________ 95__ 96_______________ 97______ 98 99_____ 100 101________ 102 103_______ 104____ 105_____ 106 107____ 108 109_________ 110____ 111 112________ 113 114____________ 115______ 116__ 117 118_ 119______________ 120 121___ 122 123______ 124_ 125_____________ 126 127__________ 128 129______ 130_ 131 132__ 133____ 134_______ 135 136_ 137______ 138 139 140 141 142 143____ 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162________ 163

Chunks:
  TruePositive nam [53,56] = Dz . U . (confidence=1.00)
  FalsePositive nam [26,41] = ustawy z dnia 20 grudnia 2002 r . o zmianie ustawy o rehabilitacji zawodowej i społecznej (confidence=1.00) (incorrect boundry)
  FalseNegative nam [26,51] = ustawy z dnia 20 grudnia 2002 r . o zmianie ustawy o rehabilitacji zawodowej i społecznej oraz zatrudnianiu osób niepełnosprawnych oraz o zmianie niektórych innych ustaw

2017-06-14 20:13:34,813 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 48 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102259.xml
(ChunkerEvaluator) Sentence #684 from 00102259 from sent1

Text  : Wrocławski zespół Digit All Love wydał płytę z dobrą muzyką i_ kilkoma kawałkami wideo na licencji Creative Commons ._
Tokens: 1_________ 2_____ 3____ 4__ 5___ 6____ 7____ 8 9____ 10____ 11 12_____ 13_______ 14___ 15 16______ 17______ 18_____ 19

Chunks:
  TruePositive nam [3,5] = Digit All Love (confidence=1.00)
  TruePositive nam [17,18] = Creative Commons (confidence=1.00)

(ChunkerEvaluator) Sentence #685 from 00102259 from sent2

Text  : Wybrana licencja jest dość restrykcyjna ( CC NC Sampling +_ )_ ,_ bo ogranicza przerabianie i_ rozpowszechnianie do sytuacji niekomercyjnych ._
Tokens: 1______ 2_______ 3___ 4___ 5___________ 6 7_ 8_ 9_______ 10 11 12 13 14_______ 15__________ 16 17_______________ 18 19______ 20_____________ 21

Chunks:
  FalsePositive nam [7,9] = CC NC Sampling (confidence=1.00) (incorrect boundry)
  FalseNegative nam [7,10] = CC NC Sampling +

(ChunkerEvaluator) Sentence #686 from 00102259 from sent3

Text  : Udostępnione zostały tylko części utworów . . .
Tokens: 1___________ 2______ 3____ 4_____ 5______ 6 7 8

Chunks:

(ChunkerEvaluator) Sentence #687 from 00102259 from sent4

Text  : Ponarzekał em , ale się cieszę , bo nie dość ,_ że to jednak licencja CC ,_ to jeszcze pliki wideo ładnie się otwierają w_ Linuksie i_ na płycie nie ma wielkiego napisu ,_ że trzeba mieć Windows ,_ żeby łaskawie się włączyła muzyka ._
Tokens: 1_________ 2_ 3 4__ 5__ 6_____ 7 8_ 9__ 10__ 11 12 13 14____ 15______ 16 17 18 19_____ 20___ 21___ 22____ 23_ 24_______ 25 26______ 27 28 29____ 30_ 31 32_______ 33____ 34 35 36____ 37__ 38_____ 39 40__ 41______ 42_ 43______ 44____ 45

Chunks:
  TruePositive nam [16,16] = CC (confidence=1.00)
  TruePositive nam [26,26] = Linuksie (confidence=0.99)
  TruePositive nam [38,38] = Windows (confidence=0.99)

(ChunkerEvaluator) Sentence #688 from 00102259 from sent5

Text  : Muzykę włączam więc często , bo jak ją często włączam ,_ to chcę włączać ją częściej ._
Tokens: 1_____ 2______ 3___ 4_____ 5 6_ 7__ 8_ 9_____ 10_____ 11 12 13__ 14_____ 15 16______ 17

Chunks:

2017-06-14 20:13:34,842 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 49 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102264.xml
(ChunkerEvaluator) Sentence #689 from 00102264 from sent1

Text  : Jest też adres radwańska . pl , który prowadzi do kolejnej jakby oficjalnej strony Agnieszki Radwańskiej ,_ postawionego szybko bloga na WordPresie i_ gotowym szablonie ,_ zresztą niechlujnie spolszczonym ._
Tokens: 1___ 2__ 3____ 4________ 5 6_ 7 8____ 9_______ 10 11______ 12___ 13________ 14____ 15_______ 16_________ 17 18__________ 19____ 20___ 21 22________ 23 24_____ 25_______ 26 27_____ 28_________ 29__________ 30

Chunks:
  TruePositive nam [4,6] = radwańska . pl (confidence=0.48)
  TruePositive nam [15,16] = Agnieszki Radwańskiej (confidence=1.00)
  TruePositive nam [22,22] = WordPresie (confidence=0.99)

(ChunkerEvaluator) Sentence #690 from 00102264 from sent2

Text  : Oczywiście do tego reklamy Google , licznik bije .
Tokens: 1_________ 2_ 3___ 4______ 5_____ 6 7______ 8___ 9

Chunks:
  TruePositive nam [5,5] = Google (confidence=1.00)

(ChunkerEvaluator) Sentence #691 from 00102264 from sent3

Text  : Blog składa się z cytatów i zdjęć zapewne z Wyborczej ,_ nieopisanych w_ żaden sposób ._
Tokens: 1___ 2_____ 3__ 4 5______ 6 7____ 8______ 9 10_______ 11 12__________ 13 14___ 15____ 16

Chunks:
  TruePositive nam [10,10] = Wyborczej (confidence=0.98)

(ChunkerEvaluator) Sentence #692 from 00102264 from sent4

Text  : Na dole strony widnieje jednak © Agnieszka Radwańska .
Tokens: 1_ 2___ 3_____ 4_______ 5_____ 6 7________ 8________ 9

Chunks:
  TruePositive nam [7,8] = Agnieszka Radwańska (confidence=1.00)

(ChunkerEvaluator) Sentence #693 from 00102264 from sent5

Text  : I jak to interpretować ?
Tokens: 1 2__ 3_ 4____________ 5

Chunks:

(ChunkerEvaluator) Sentence #694 from 00102264 from sent6

Text  : Jako szybką reakcję sztabu Radwańskiej ?
Tokens: 1___ 2_____ 3______ 4_____ 5__________ 6

Chunks:
  TruePositive nam [5,5] = Radwańskiej (confidence=0.99)

(ChunkerEvaluator) Sentence #695 from 00102264 from sent7

Text  : Czy próbę podczepienia się pod 5 minut sławy ?
Tokens: 1__ 2____ 3___________ 4__ 5__ 6 7____ 8____ 9

Chunks:

(ChunkerEvaluator) Sentence #696 from 00102264 from sent8

Text  : Wcześniejsze strony fanowskie przynajmniej istniały zanim Radwańska wygrała z Szarapową ._ ._ ._
Tokens: 1___________ 2_____ 3________ 4___________ 5_______ 6____ 7________ 8______ 9 10_______ 11 12 13

Chunks:
  TruePositive nam [7,7] = Radwańska (confidence=0.99)
  TruePositive nam [10,10] = Szarapową (confidence=0.97)

(ChunkerEvaluator) Sentence #697 from 00102264 from sent9

Text  : Zmiana : adres " radwanska.pl " prowadzi tam , gdzie wcześniej ,_ czyli do wyników na żywo ,_ nowym adresem jest "_ radwańska ._ pl "_ ._
Tokens: 1_____ 2 3____ 4 5___________ 6 7_______ 8__ 9 10___ 11_______ 12 13___ 14 15_____ 16 17__ 18 19___ 20_____ 21__ 22 23_______ 24 25 26 27

Chunks:
  FalseNegative nam [5,5] = radwanska.pl
  FalseNegative nam [23,25] = radwańska . pl

(ChunkerEvaluator) Sentence #698 from 00102264 from sent10

Text  : Zasugerował em się tym , że zwykle w adresach nie ma jednak polskich czcionek ._
Tokens: 1__________ 2_ 3__ 4__ 5 6_ 7_____ 8 9_______ 10_ 11 12____ 13______ 14______ 15

Chunks:

(ChunkerEvaluator) Sentence #699 from 00102264 from sent11

Text  : Nie zmienia to zresztą wcześniejszych wniosków .
Tokens: 1__ 2______ 3_ 4______ 5_____________ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #700 from 00102264 from sent12

Text  : Brak oficjalnej strony pracującej na wizerunek Agnieszki Radwańskiej powoduje ,_ że powstała dziwna konkurencja między stronami ,_ które za oficjalne chcą uchodzić ._
Tokens: 1___ 2_________ 3_____ 4_________ 5_ 6________ 7________ 8__________ 9_______ 10 11 12______ 13____ 14_________ 15____ 16______ 17 18___ 19 20_______ 21__ 22______ 23

Chunks:
  TruePositive nam [7,8] = Agnieszki Radwańskiej (confidence=1.00)

2017-06-14 20:13:34,887 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 50 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102273.xml
(ChunkerEvaluator) Sentence #701 from 00102273 from sent1

Text  : Był kiedyś taki serial o młodym prawniku , w którym bohater zdolny ,_ ale nieżyciowy ,_ prowadził raz negocjacje w_ imieniu Bardzo Ważnego Klienta ._
Tokens: 1__ 2_____ 3___ 4_____ 5 6_____ 7_______ 8 9 10____ 11_____ 12____ 13 14_ 15________ 16 17_______ 18_ 19________ 20 21_____ 22____ 23_____ 24_____ 25

Chunks:
  FalsePositive nam [22,24] = Bardzo Ważnego Klienta (confidence=0.88) (incorrect boundry)

(ChunkerEvaluator) Sentence #702 from 00102273 from sent2

Text  : Tenże zamierzał kupić jakąś firmę , ale nie odpowiadała mu cena ._
Tokens: 1____ 2________ 3____ 4____ 5____ 6 7__ 8__ 9__________ 10 11__ 12

Chunks:

(ChunkerEvaluator) Sentence #703 from 00102273 from sent3

Text  : Młody i zdolny męczył sprzedawców i zgadzał się na wyrzucenie z_ transakcji kolejnych niepotrzebnych elementów ,_ bez których firma dalej mogła działać ._
Tokens: 1____ 2 3_____ 4_____ 5__________ 6 7______ 8__ 9_ 10________ 11 12________ 13_______ 14____________ 15_______ 16 17_ 18_____ 19___ 20___ 21___ 22_____ 23

Chunks:

(ChunkerEvaluator) Sentence #704 from 00102273 from sent4

Text  : W końcu uzyskał dobrą cenę pozbywając się , nie pamiętam dokładnie ,_ powiedzmy kilku magazynów ,_ funduszu emerytalnego i_ odrzutowca zarządu ._
Tokens: 1 2____ 3______ 4____ 5___ 6_________ 7__ 8 9__ 10______ 11_______ 12 13_______ 14___ 15_______ 16 17______ 18__________ 19 20________ 21_____ 22

Chunks:

(ChunkerEvaluator) Sentence #705 from 00102273 from sent5

Text  : Bardzo Ważny Klient wpadł w szał .
Tokens: 1_____ 2____ 3_____ 4____ 5 6___ 7

Chunks:
  FalsePositive nam [2,3] = Ważny Klient (confidence=0.69) (incorrect boundry)

(ChunkerEvaluator) Sentence #706 from 00102273 from sent6

Text  : Zależało mu bowiem tylko na odrzutowcu , którego nie mógł sobie tak po prostu kupić ,_ bo nie zgodziła by się jego rada nadzorcza ,_ żona ,_ czy ktośtam ._
Tokens: 1_______ 2_ 3_____ 4____ 5_ 6_________ 7 8______ 9__ 10__ 11___ 12_ 13 14____ 15___ 16 17 18_ 19______ 20 21_ 22__ 23__ 24_______ 25 26__ 27 28_ 29_____ 30

Chunks:

(ChunkerEvaluator) Sentence #707 from 00102273 from sent7

Text  : Samolot trzeba wziąć razem z całą firmą ?
Tokens: 1______ 2_____ 3____ 4____ 5 6___ 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #708 from 00102273 from sent8

Text  : Co za pech . . .
Tokens: 1_ 2_ 3___ 4 5 6

Chunks:

(ChunkerEvaluator) Sentence #709 from 00102273 from sent9

Text  : Nie będziemy go przecież sprzedawać . . .
Tokens: 1__ 2_______ 3_ 4_______ 5_________ 6 7 8

Chunks:

(ChunkerEvaluator) Sentence #710 from 00102273 from sent10

Text  : Czego Microsoft szuka w Yahoo ?
Tokens: 1____ 2________ 3____ 4 5____ 6

Chunks:
  TruePositive nam [2,2] = Microsoft (confidence=0.97)
  TruePositive nam [5,5] = Yahoo (confidence=0.99)

(ChunkerEvaluator) Sentence #711 from 00102273 from sent11

Text  : Steve Ballmer ma już odrzutowiec , więc tę opcję można skreślić ._
Tokens: 1____ 2______ 3_ 4__ 5__________ 6 7___ 8_ 9____ 10___ 11______ 12

Chunks:
  TruePositive nam [1,2] = Steve Ballmer (confidence=1.00)

(ChunkerEvaluator) Sentence #712 from 00102273 from sent12

Text  : Yahoo od kilku lat raczej idzie na dno , chociaż ,_ jak mawiał Kazimierz Górski ,_ dna są zawsze dwa ._
Tokens: 1____ 2_ 3____ 4__ 5_____ 6____ 7_ 8__ 9 10_____ 11 12_ 13____ 14_______ 15____ 16 17_ 18 19____ 20_ 21

Chunks:
  TruePositive nam [14,15] = Kazimierz Górski (confidence=1.00)
  FalseNegative nam [1,1] = Yahoo

2017-06-14 20:13:34,937 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 51 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102435.xml
(ChunkerEvaluator) Sentence #713 from 00102435 from sent1

Text  : Marcin Wilkowski z zaprzyjaźnionego bloga Historia i Media przesłał mi informacje o_ kolejnej odsłonie projektu History Carnival ,_ w_ ramach którego od 2005 roku wiedza historyczna jest promowana poprzez comiesięczny przegląd najciekawszych blogów poświęconych tej tematyce ._
Tokens: 1_____ 2________ 3 4_______________ 5____ 6_______ 7 8____ 9_______ 10 11________ 12 13______ 14______ 15______ 16_____ 17______ 18 19 20____ 21_____ 22 23__ 24__ 25____ 26_________ 27__ 28_______ 29_____ 30__________ 31______ 32____________ 33____ 34__________ 35_ 36______ 37

Chunks:
  TruePositive nam [1,2] = Marcin Wilkowski (confidence=1.00)
  TruePositive nam [16,17] = History Carnival (confidence=1.00)
  FalsePositive nam [6,6] = Historia (confidence=0.88) (incorrect boundry)
  FalsePositive nam [8,8] = Media (confidence=0.59) (incorrect boundry)
  FalseNegative nam [6,8] = Historia i Media

(ChunkerEvaluator) Sentence #714 from 00102435 from sent2

Text  : Tym razem projekt po raz pierwszy organizowany jest poza blogosferą angielskojęzyczną -_ a_ gospodarzem jest właśnie blog Historia i_ Media ._
Tokens: 1__ 2____ 3______ 4_ 5__ 6_______ 7___________ 8___ 9___ 10________ 11_______________ 12 13 14_________ 15__ 16_____ 17__ 18______ 19 20___ 21

Chunks:
  FalsePositive nam [18,18] = Historia (confidence=0.95) (incorrect boundry)
  FalsePositive nam [20,20] = Media (confidence=0.74) (incorrect boundry)
  FalseNegative nam [18,20] = Historia i Media

(ChunkerEvaluator) Sentence #715 from 00102435 from sent3

Text  : History Carnival to comiesięczny przegląd tematów historycznych , które pojawiają się na blogach ._
Tokens: 1______ 2_______ 3_ 4___________ 5_______ 6______ 7____________ 8 9____ 10_______ 11_ 12 13_____ 14

Chunks:
  TruePositive nam [1,2] = History Carnival (confidence=0.91)

(ChunkerEvaluator) Sentence #716 from 00102435 from sent4

Text  : Biorą w nim udział nie tylko blogerzy pasjonujący się historią ,_ ale także nauczyciele ,_ studenci ,_ profesjonalni historycy czy pracownicy naukowi wyższych uczelni ._
Tokens: 1____ 2 3__ 4_____ 5__ 6____ 7_______ 8__________ 9__ 10______ 11 12_ 13___ 14_________ 15 16______ 17 18___________ 19_______ 20_ 21________ 22_____ 23______ 24_____ 25

Chunks:

(ChunkerEvaluator) Sentence #717 from 00102435 from sent5

Text  : Za pomocą specjalnego formularza lub mailowo zgłaszają oni wybrane ze swoich blogów posty ,_ które podczas finału każdej odsłony są wspólnie prezentowane ._
Tokens: 1_ 2_____ 3__________ 4_________ 5__ 6______ 7________ 8__ 9______ 10 11____ 12____ 13___ 14 15___ 16_____ 17____ 18____ 19_____ 20 21______ 22__________ 23

Chunks:

(ChunkerEvaluator) Sentence #718 from 00102435 from sent6

Text  : Umożliwia to nie tylko promocję własnego bloga , ale także zainicjowanie interesującej dyskusji lub poznanie zupełnie nowych tematów lub faktów historycznych ._
Tokens: 1________ 2_ 3__ 4____ 5_______ 6_______ 7____ 8 9__ 10___ 11___________ 12___________ 13______ 14_ 15______ 16______ 17____ 18_____ 19_ 20____ 21___________ 22

Chunks:

2017-06-14 20:13:34,975 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 52 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102453.xml
(ChunkerEvaluator) Sentence #719 from 00102453 from sent1

Text  : Podczas tegorocznego festiwalu SXSW w Austin , Texas , niemal połowa z_ występujących tam muzyków -_ 763 osoby i_ zespoły -_ zgodziły się udostępnić w_ sieci jeden swój utwór ._
Tokens: 1______ 2___________ 3________ 4___ 5 6_____ 7 8____ 9 10____ 11____ 12 13___________ 14_ 15_____ 16 17_ 18___ 19 20_____ 21 22______ 23_ 24________ 25 26___ 27___ 28__ 29___ 30

Chunks:
  TruePositive nam [4,4] = SXSW (confidence=1.00)
  TruePositive nam [6,6] = Austin (confidence=1.00)
  TruePositive nam [8,8] = Texas (confidence=1.00)

(ChunkerEvaluator) Sentence #720 from 00102453 from sent2

Text  : Powstał z tego torrent ważący ok . 48 godzin muzyki (_ piosenek pojedynczo można też słuchać na stronie festiwalu )_ ._
Tokens: 1______ 2 3___ 4______ 5_____ 6_ 7 8_ 9_____ 10____ 11 12______ 13________ 14___ 15_ 16_____ 17 18_____ 19_______ 20 21

Chunks:

(ChunkerEvaluator) Sentence #721 from 00102453 from sent3

Text  : Jeden festiwal , jeden tydzień koncertów , połowa artystów ,_ po jednym utworze -_ 763 piosenki ,_ 3_ gigabajty ,_ 48 godzin dźwięku ._
Tokens: 1____ 2_______ 3 4____ 5______ 6________ 7 8_____ 9_______ 10 11 12____ 13_____ 14 15_ 16______ 17 18 19_______ 20 21 22____ 23_____ 24

Chunks:

(ChunkerEvaluator) Sentence #722 from 00102453 from sent4

Text  : Jak dla mnie to dskonały symbol nadmiaru muzyki , jakiemu przyszło nam dzisiaj stawić czoła ._
Tokens: 1__ 2__ 3___ 4_ 5_______ 6_____ 7_______ 8_____ 9 10_____ 11______ 12_ 13_____ 14____ 15___ 16

Chunks:

(ChunkerEvaluator) Sentence #723 from 00102453 from sent5

Text  : Paul Ford , recenzent muzyczny z internetowej gazety the Morning News ,_ postanowił zmierzyć się z_ torrentem i_ wykonać swoją pracę ._
Tokens: 1___ 2___ 3 4________ 5_______ 6 7___________ 8_____ 9__ 10_____ 11__ 12 13________ 14______ 15_ 16 17_______ 18 19_____ 20___ 21___ 22

Chunks:
  TruePositive nam [1,2] = Paul Ford (confidence=1.00)
  FalsePositive nam [10,11] = Morning News (confidence=0.87) (incorrect boundry)
  FalseNegative nam [9,11] = the Morning News

(ChunkerEvaluator) Sentence #724 from 00102453 from sent6

Text  : Rozwiązaniem , jakie wymyślił są zgrabne recenzje po sześć słów ._
Tokens: 1___________ 2 3____ 4_______ 5_ 6______ 7_______ 8_ 9____ 10__ 11

Chunks:

(ChunkerEvaluator) Sentence #725 from 00102453 from sent7

Text  : Co lepsze brzmią jak porządne haiku , z co gorszych nic nie wynika ._
Tokens: 1_ 2_____ 3_____ 4__ 5_______ 6____ 7 8 9_ 10______ 11_ 12_ 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #726 from 00102453 from sent8

Text  : Żeby było jeszcze zabawniej , Ford nie powstrzymał się przed przyznawaniem gwiazdek ._
Tokens: 1___ 2___ 3______ 4________ 5 6___ 7__ 8__________ 9__ 10___ 11___________ 12______ 13

Chunks:
  TruePositive nam [6,6] = Ford (confidence=0.99)

(ChunkerEvaluator) Sentence #727 from 00102453 from sent9

Text  : Na stronie znajdziemy nawet statystykę pokazującą częstotliwość przyznawania od jednej do pięciu gwiazdek ,_ oraz wyjaśnienie ,_ będące mrugnięciem w_ stronę widza :_
Tokens: 1_ 2______ 3_________ 4____ 5_________ 6_________ 7____________ 8___________ 9_ 10____ 11 12____ 13______ 14 15__ 16_________ 17 18____ 19_________ 20 21____ 22___ 23

Chunks:

(ChunkerEvaluator) Sentence #728 from 00102453 from sent10

Text  : Był by m gotów uznać to za dowód , że krytyka muzyczna nie ma już zupełnie sensu -_ ale gdy zabrał em się do pobieżnego przesłuchania muzyki z_ SXSW ,_ po kolei odsłuchał em utwory 5_ -_ gwiazdkowe !_
Tokens: 1__ 2_ 3 4____ 5____ 6_ 7_ 8____ 9 10 11_____ 12______ 13_ 14 15_ 16______ 17___ 18 19_ 20_ 21____ 22 23_ 24 25________ 26___________ 27____ 28 29__ 30 31 32___ 33_______ 34 35____ 36 37 38________ 39

Chunks:
  TruePositive nam [29,29] = SXSW (confidence=0.98)

2017-06-14 20:13:35,031 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 53 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102487.xml
(ChunkerEvaluator) Sentence #729 from 00102487 from sent1

Text  : Do półmetka zbliża się budowa nowej remizy Państwowej Straży Pożarnej w_ Ozorkowie ._
Tokens: 1_ 2_______ 3_____ 4__ 5_____ 6____ 7_____ 8_________ 9_____ 10______ 11 12_______ 13

Chunks:
  TruePositive nam [8,10] = Państwowej Straży Pożarnej (confidence=1.00)
  TruePositive nam [12,12] = Ozorkowie (confidence=1.00)

(ChunkerEvaluator) Sentence #730 from 00102487 from sent2

Text  : Obecnie musi ona korzystać z gościny druhów z OSP ._
Tokens: 1______ 2___ 3__ 4________ 5 6______ 7_____ 8 9__ 10

Chunks:
  TruePositive nam [9,9] = OSP (confidence=0.96)

(ChunkerEvaluator) Sentence #731 from 00102487 from sent3

Text  : Prace przy wznoszeniu własnej strażnicy zawodowi strażacy zaczęli przed rokiem ._
Tokens: 1____ 2___ 3_________ 4______ 5________ 6_______ 7_______ 8______ 9____ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #732 from 00102487 from sent4

Text  : Inwestycję wyceniono na 2 mln zł .
Tokens: 1_________ 2________ 3_ 4 5__ 6_ 7

Chunks:
  TruePositive nam [6,6] = zł (confidence=1.00)

(ChunkerEvaluator) Sentence #733 from 00102487 from sent5

Text  : Na razie prace pochłonęły 900 tys . zł .
Tokens: 1_ 2____ 3____ 4_________ 5__ 6__ 7 8_ 9

Chunks:
  TruePositive nam [8,8] = zł (confidence=1.00)

(ChunkerEvaluator) Sentence #734 from 00102487 from sent6

Text  : Istniało zagrożenie , że przed zimą trzeba go będzie zostawić bez dachu i_ okien ._
Tokens: 1_______ 2_________ 3 4_ 5____ 6___ 7_____ 8_ 9_____ 10______ 11_ 12___ 13 14___ 15

Chunks:

(ChunkerEvaluator) Sentence #735 from 00102487 from sent7

Text  : Jednak wojewoda dołożył na czas 200 tys . zł ._
Tokens: 1_____ 2_______ 3______ 4_ 5___ 6__ 7__ 8 9_ 10

Chunks:
  TruePositive nam [9,9] = zł (confidence=1.00)

(ChunkerEvaluator) Sentence #736 from 00102487 from sent8

Text  : Obecnie trwają prace tynkarskie i instalatorskie .
Tokens: 1______ 2_____ 3____ 4_________ 5 6_____________ 7

Chunks:

(ChunkerEvaluator) Sentence #737 from 00102487 from sent9

Text  : Za dwa tygodnie zostaną zamontowane wrota do garaży .
Tokens: 1_ 2__ 3_______ 4______ 5__________ 6____ 7_ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #738 from 00102487 from sent10

Text  : Na ten rok mamy zagwarantowane 760 tysięcy złotych .
Tokens: 1_ 2__ 3__ 4___ 5_____________ 6__ 7______ 8______ 9

Chunks:
  TruePositive nam [8,8] = złotych (confidence=0.84)

(ChunkerEvaluator) Sentence #739 from 00102487 from sent11

Text  : Będziemy się starali o dodatkowe pieniądze od wojewody .
Tokens: 1_______ 2__ 3______ 4 5________ 6________ 7_ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #740 from 00102487 from sent12

Text  : Jeśli dostaniemy jeszcze 300 - 400 tysięcy złotych , to inwestycję będzie można zakończyć w_ tym roku -_ mówi brygadier Bogusław Czekała ,_ komendant powiatowy Państwowej Straży Pożarnej w_ Zgierzu ._
Tokens: 1____ 2_________ 3______ 4__ 5 6__ 7______ 8______ 9 10 11________ 12____ 13___ 14_______ 15 16_ 17__ 18 19__ 20_______ 21______ 22_____ 23 24_______ 25_______ 26________ 27____ 28______ 29 30_____ 31

Chunks:
  TruePositive nam [8,8] = złotych (confidence=0.85)
  TruePositive nam [21,22] = Bogusław Czekała (confidence=1.00)
  TruePositive nam [26,28] = Państwowej Straży Pożarnej (confidence=1.00)
  TruePositive nam [30,30] = Zgierzu (confidence=1.00)

(ChunkerEvaluator) Sentence #741 from 00102487 from sent13

Text  : - Bez dodatkowej pomocy , strażnica będzie gotowa na przełomie kwietnia i_ maja przyszłego roku ._
Tokens: 1 2__ 3_________ 4_____ 5 6________ 7_____ 8_____ 9_ 10_______ 11______ 12 13__ 14________ 15__ 16

Chunks:

(ChunkerEvaluator) Sentence #742 from 00102487 from sent14

Text  : Wprawdzie zdecydowana większość prac zakończy się znacznie wcześniej , ale nie chcemy się spieszyć z_ przeprowadzką ._
Tokens: 1________ 2__________ 3________ 4___ 5_______ 6__ 7_______ 8________ 9 10_ 11_ 12____ 13_ 14______ 15 16___________ 17

Chunks:

(ChunkerEvaluator) Sentence #743 from 00102487 from sent15

Text  : Do nowej siedziby przeniesiemy się , gdy wszystko będzie zapięte na ostatni guzik ._
Tokens: 1_ 2____ 3_______ 4___________ 5__ 6 7__ 8_______ 9_____ 10_____ 11 12_____ 13___ 14

Chunks:

2017-06-14 20:13:35,081 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 54 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102676.xml
(ChunkerEvaluator) Sentence #744 from 00102676 from sent1

Text  : FILLER dzień dobry , xxx , słucham
Tokens: 1_____ 2____ 3____ 4 5__ 6 7______

Chunks:

(ChunkerEvaluator) Sentence #745 from 00102676 from sent2

Text  : FILLER dzień dobry , nie wiem , czy czy to właściwie ,_ ale chciał em się dowiedzieć ,_ bo nie mogę się nigdzie dowiedzieć ,_ czy czy pan będzie mi w_ stanie udzielić informacji ,_ chodzi mi o_ to FILLER o_ bilety FILLER o_ jazdę FILLER w_ tych ,_ w_ autobusach ,_ tramwajach ,_ kiedy się kończy siedemdziesiąt lat
Tokens: 1_____ 2____ 3____ 4 5__ 6___ 7 8__ 9__ 10 11_______ 12 13_ 14____ 15 16_ 17________ 18 19 20_ 21__ 22_ 23_____ 24________ 25 26_ 27_ 28_ 29____ 30 31 32____ 33______ 34________ 35 36____ 37 38 39 40____ 41 42____ 43____ 44 45___ 46____ 47 48__ 49 50 51________ 52 53________ 54 55___ 56_ 57____ 58____________ 59_

Chunks:

(ChunkerEvaluator) Sentence #746 from 00102676 from sent3

Text  : FILLER osoby , które ukończyły siedemdziesiąty rok życia , mają prawo do przejazdu bezpłatnych
Tokens: 1_____ 2____ 3 4____ 5________ 6______________ 7__ 8____ 9 10__ 11___ 12 13_______ 14_________

Chunks:

(ChunkerEvaluator) Sentence #747 from 00102676 from sent4

Text  : ale teraz , czyli czy to się liczy , kiedy jest miesiąc czy rok już
Tokens: 1__ 2____ 3 4____ 5__ 6_ 7__ 8____ 9 10___ 11__ 12_____ 13_ 14_ 15_

Chunks:

(ChunkerEvaluator) Sentence #748 from 00102676 from sent5

Text  : to jest , liczy się konkretna data urodzin
Tokens: 1_ 2___ 3 4____ 5__ 6________ 7___ 8______

Chunks:

(ChunkerEvaluator) Sentence #749 from 00102676 from sent6

Text  : urodzin , czyli miesiąc , tak ?
Tokens: 1______ 2 3____ 4______ 5 6__ 7

Chunks:

(ChunkerEvaluator) Sentence #750 from 00102676 from sent7

Text  : _ _ _
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #751 from 00102676 from sent8

Text  : dzień i miesiąc
Tokens: 1____ 2 3______

Chunks:

(ChunkerEvaluator) Sentence #752 from 00102676 from sent9

Text  : aha . . .
Tokens: 1__ 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #753 from 00102676 from sent10

Text  : kiedy się kończy siedemdziesiąt , dopiero można z tego korzystać ,_ tak ?_
Tokens: 1____ 2__ 3_____ 4_____________ 5 6______ 7____ 8 9___ 10_______ 11 12_ 13

Chunks:

(ChunkerEvaluator) Sentence #754 from 00102676 from sent11

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #755 from 00102676 from sent12

Text  : aha , dziękuję
Tokens: 1__ 2 3_______

Chunks:

(ChunkerEvaluator) Sentence #756 from 00102676 from sent13

Text  : proszę bardzo
Tokens: 1_____ 2_____

Chunks:

2017-06-14 20:13:35,118 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 55 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102686.xml
(ChunkerEvaluator) Sentence #757 from 00102686 from sent1

Text  : xxx , dzień dobry
Tokens: 1__ 2 3____ 4____

Chunks:

(ChunkerEvaluator) Sentence #758 from 00102686 from sent2

Text  : FILLER dzień dobry panu , chciała m takiej informacji uzyskać FILLER ja będę jechała z_ Dworca Ochota w_ sobotę ,_ czy ten autobus sto siedemdziesiąt pięć jeździ ,_ bo tam jest rozkopane na Krakowskim
Tokens: 1_____ 2____ 3____ 4___ 5 6______ 7 8_____ 9_________ 10_____ 11____ 12 13__ 14_____ 15 16____ 17____ 18 19____ 20 21_ 22_ 23_____ 24_ 25____________ 26__ 27____ 28 29 30_ 31__ 32_______ 33 34________

Chunks:
  TruePositive nam [16,17] = Dworca Ochota (confidence=1.00)
  TruePositive nam [34,34] = Krakowskim (confidence=0.96)

(ChunkerEvaluator) Sentence #759 from 00102686 from sent3

Text  : proszę pani , jeździ on , tylko omija odcinek tutaj przy Uniwersytecie ,_ a_ pani potrzebuje gdzie dojechać ?_
Tokens: 1_____ 2___ 3 4_____ 5_ 6 7____ 8____ 9______ 10___ 11__ 12___________ 13 14 15__ 16________ 17___ 18______ 19

Chunks:
  TruePositive nam [12,12] = Uniwersytecie (confidence=1.00)

(ChunkerEvaluator) Sentence #760 from 00102686 from sent4

Text  : do Placu Zamkowego
Tokens: 1_ 2____ 3________

Chunks:
  TruePositive nam [2,3] = Placu Zamkowego (confidence=1.00)

(ChunkerEvaluator) Sentence #761 from 00102686 from sent5

Text  : a to dojedzie pani
Tokens: 1 2_ 3_______ 4___

Chunks:

(ChunkerEvaluator) Sentence #762 from 00102686 from sent6

Text  : spokojnie
Tokens: 1________

Chunks:

(ChunkerEvaluator) Sentence #763 from 00102686 from sent7

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #764 from 00102686 from sent8

Text  : on będzie objazdem jechał przez Mazowiecką , ale dojedzie
Tokens: 1_ 2_____ 3_______ 4_____ 5____ 6_________ 7 8__ 9_______

Chunks:
  TruePositive nam [6,6] = Mazowiecką (confidence=1.00)

(ChunkerEvaluator) Sentence #765 from 00102686 from sent9

Text  : jedzie , dziękuję ślicznie , do widzenia
Tokens: 1_____ 2 3_______ 4_______ 5 6_ 7_______

Chunks:

(ChunkerEvaluator) Sentence #766 from 00102686 from sent10

Text  : proszę , do widzenia
Tokens: 1_____ 2 3_ 4_______

Chunks:

2017-06-14 20:13:35,145 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 56 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102695.xml
(ChunkerEvaluator) Sentence #767 from 00102695 from sent1

Text  : FILLER dzień dobry , xxx , słucham
Tokens: 1_____ 2____ 3____ 4 5__ 6 7______

Chunks:

(ChunkerEvaluator) Sentence #768 from 00102695 from sent2

Text  : dzień dobry panu FILLER chciał em zapytać jakie obowiązują __ __ __ opłaty emerytów ._ ._ ._
Tokens: 1____ 2____ 3___ 4_____ 5_____ 6_ 7______ 8____ 9_________ 10 11 12 13____ 14______ 15 16 17

Chunks:

(ChunkerEvaluator) Sentence #769 from 00102695 from sent3

Text  : przejazdu o _ _ _
Tokens: 1________ 2 3 4 5

Chunks:

(ChunkerEvaluator) Sentence #770 from 00102695 from sent4

Text  : proszę pana , osoby pobierające emeryturę mają prawo do przejazdu z_ ulgą czterdzieści osiem procent ._ ._ ._
Tokens: 1_____ 2___ 3 4____ 5__________ 6________ 7___ 8____ 9_ 10_______ 11 12__ 13__________ 14___ 15_____ 16 17 18

Chunks:

(ChunkerEvaluator) Sentence #771 from 00102695 from sent5

Text  : i to jest przez cały okres ? . . ._
Tokens: 1 2_ 3___ 4____ 5___ 6____ 7 8 9 10

Chunks:

(ChunkerEvaluator) Sentence #772 from 00102695 from sent6

Text  : halo
Tokens: 1___

Chunks:

(ChunkerEvaluator) Sentence #773 from 00102695 from sent7

Text  : czy jeśli pobierają emeryturę tak . . .
Tokens: 1__ 2____ 3________ 4________ 5__ 6 7 8

Chunks:

(ChunkerEvaluator) Sentence #774 from 00102695 from sent8

Text  : ale było siedemdziesiąt chyba lat było bezpłatne , zdaje się ,_ nie ?_
Tokens: 1__ 2___ 3_____________ 4____ 5__ 6___ 7________ 8 9____ 10_ 11 12_ 13

Chunks:

(ChunkerEvaluator) Sentence #775 from 00102695 from sent9

Text  : . . .
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #776 from 00102695 from sent10

Text  : znaczy , osoby powyżej siedemdziesiątego roku życia mają prawo do przejazdów bezpłatnych
Tokens: 1_____ 2 3____ 4______ 5________________ 6___ 7____ 8___ 9____ 10 11________ 12_________

Chunks:

(ChunkerEvaluator) Sentence #777 from 00102695 from sent11

Text  : powyżej siedemdziesiątego roku
Tokens: 1______ 2________________ 3___

Chunks:

(ChunkerEvaluator) Sentence #778 from 00102695 from sent12

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #779 from 00102695 from sent13

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #780 from 00102695 from sent14

Text  : i to nie ma znaczenia czy emeryt , czy nie emeryt ,_ tak ?_
Tokens: 1 2_ 3__ 4_ 5________ 6__ 7_____ 8 9__ 10_ 11____ 12 13_ 14

Chunks:

(ChunkerEvaluator) Sentence #781 from 00102695 from sent15

Text  : nie ma znaczenia
Tokens: 1__ 2_ 3________

Chunks:

(ChunkerEvaluator) Sentence #782 from 00102695 from sent16

Text  : dziękuję panu
Tokens: 1_______ 2___

Chunks:

(ChunkerEvaluator) Sentence #783 from 00102695 from sent17

Text  : proszę bardzo
Tokens: 1_____ 2_____

Chunks:

2017-06-14 20:13:35,179 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 57 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103566.xml
(ChunkerEvaluator) Sentence #784 from 00103566 from sent1

Text  : Hubert , sekretarz Landaua , zaczął swój dzień jak każdy inny ._
Tokens: 1_____ 2 3________ 4______ 5 6_____ 7___ 8____ 9__ 10___ 11__ 12

Chunks:
  TruePositive nam [1,1] = Hubert (confidence=0.86)
  TruePositive nam [4,4] = Landaua (confidence=1.00)

(ChunkerEvaluator) Sentence #785 from 00103566 from sent2

Text  : Punktualnie o ósmej rano siedział przy swoim pulpicie w pokojach administracji i_ przypominał sobie przygotowany wcześniej rozkład dnia ._
Tokens: 1__________ 2 3____ 4___ 5_______ 6___ 7____ 8_______ 9 10______ 11___________ 12 13_________ 14___ 15__________ 16_______ 17_____ 18__ 19

Chunks:

(ChunkerEvaluator) Sentence #786 from 00103566 from sent3

Text  : Najwięcej niepokoju przysparzał mu punkt trzeci : wizyta człowieka od lorda Bartela -_ bogacza z_ Laerdmor ._
Tokens: 1________ 2________ 3__________ 4_ 5____ 6_____ 7 8_____ 9________ 10 11___ 12_____ 13 14_____ 15 16______ 17

Chunks:
  TruePositive nam [12,12] = Bartela (confidence=1.00)
  TruePositive nam [16,16] = Laerdmor (confidence=1.00)

(ChunkerEvaluator) Sentence #787 from 00103566 from sent4

Text  : Lukas Landau uznał za właściwe połączyć z nim siły w_ pewnym zakresie ._
Tokens: 1____ 2_____ 3____ 4_ 5_______ 6_______ 7 8__ 9___ 10 11____ 12______ 13

Chunks:
  TruePositive nam [1,2] = Lukas Landau (confidence=1.00)

(ChunkerEvaluator) Sentence #788 from 00103566 from sent5

Text  : Dlatego Hubert dzisiaj właśnie , za kilka godzin miał oprowadzić wysłannika od Bartela ._
Tokens: 1______ 2_____ 3______ 4______ 5 6_ 7____ 8_____ 9___ 10________ 11________ 12 13_____ 14

Chunks:
  TruePositive nam [2,2] = Hubert (confidence=0.99)
  TruePositive nam [13,13] = Bartela (confidence=0.99)

(ChunkerEvaluator) Sentence #789 from 00103566 from sent6

Text  : I czuł zdenerwowanie .
Tokens: 1 2___ 3____________ 4

Chunks:

(ChunkerEvaluator) Sentence #790 from 00103566 from sent7

Text  : Z zamyślenia wyrwało go pukanie do drzwi .
Tokens: 1 2_________ 3______ 4_ 5______ 6_ 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #791 from 00103566 from sent8

Text  : Do gabinetu wszedł Ejlo - jego asystent .
Tokens: 1_ 2_______ 3_____ 4___ 5 6___ 7_______ 8

Chunks:
  TruePositive nam [4,4] = Ejlo (confidence=1.00)

(ChunkerEvaluator) Sentence #792 from 00103566 from sent9

Text  : - Pan Sajev , od Bartela , oczekuje .
Tokens: 1 2__ 3____ 4 5_ 6______ 7 8_______ 9

Chunks:
  TruePositive nam [3,3] = Sajev (confidence=0.97)
  TruePositive nam [6,6] = Bartela (confidence=0.96)

(ChunkerEvaluator) Sentence #793 from 00103566 from sent10

Text  : - Co ? !
Tokens: 1 2_ 3 4

Chunks:

(ChunkerEvaluator) Sentence #794 from 00103566 from sent11

Text  : - Hubert zerwał się na równe nogi .
Tokens: 1 2_____ 3_____ 4__ 5_ 6____ 7___ 8

Chunks:
  TruePositive nam [2,2] = Hubert (confidence=0.89)

(ChunkerEvaluator) Sentence #795 from 00103566 from sent12

Text  : - Dlaczego tak szybko ? !
Tokens: 1 2_______ 3__ 4_____ 5 6

Chunks:

(ChunkerEvaluator) Sentence #796 from 00103566 from sent13

Text  : Miał być za kilka godzin !
Tokens: 1___ 2__ 3_ 4____ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #797 from 00103566 from sent14

Text  : - Ale już tu jest .
Tokens: 1 2__ 3__ 4_ 5___ 6

Chunks:

(ChunkerEvaluator) Sentence #798 from 00103566 from sent15

Text  : Mówi , że podróż przebiegła nadzwyczajnie sprawnie i udało się dotrzeć szybciej ._
Tokens: 1___ 2 3_ 4_____ 5_________ 6____________ 7_______ 8 9____ 10_ 11_____ 12______ 13

Chunks:

(ChunkerEvaluator) Sentence #799 from 00103566 from sent16

Text  : Dużo szybciej .
Tokens: 1___ 2_______ 3

Chunks:

(ChunkerEvaluator) Sentence #800 from 00103566 from sent17

Text  : - Powiedz mu , że już idę .
Tokens: 1 2______ 3_ 4 5_ 6__ 7__ 8

Chunks:

(ChunkerEvaluator) Sentence #801 from 00103566 from sent18

Text  : I wołaj Truna !
Tokens: 1 2____ 3____ 4

Chunks:
  TruePositive nam [3,3] = Truna (confidence=0.99)

(ChunkerEvaluator) Sentence #802 from 00103566 from sent19

Text  : Ma natychmiast stawić się z kluczami pod halą konstruktów !_
Tokens: 1_ 2__________ 3_____ 4__ 5 6_______ 7__ 8___ 9__________ 10

Chunks:

(ChunkerEvaluator) Sentence #803 from 00103566 from sent20

Text  : Sajev nie wyglądał szczególnie dostojnie .
Tokens: 1____ 2__ 3_______ 4__________ 5________ 6

Chunks:
  TruePositive nam [1,1] = Sajev (confidence=0.95)

(ChunkerEvaluator) Sentence #804 from 00103566 from sent21

Text  : Ubrany był bogato , ale swobodnie .
Tokens: 1_____ 2__ 3_____ 4 5__ 6________ 7

Chunks:

(ChunkerEvaluator) Sentence #805 from 00103566 from sent22

Text  : Spod ciemnych brwi zerkały bystre oczy , na pewno nie wyniosłe ._
Tokens: 1___ 2_______ 3___ 4______ 5_____ 6___ 7 8_ 9____ 10_ 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #806 from 00103566 from sent23

Text  : Stał już razem z Hubertem pod gigantycznymi wrotami hali konstruktów ._
Tokens: 1___ 2__ 3____ 4 5_______ 6__ 7____________ 8______ 9___ 10_________ 11

Chunks:
  TruePositive nam [5,5] = Hubertem (confidence=1.00)

(ChunkerEvaluator) Sentence #807 from 00103566 from sent24

Text  : Sekretarz Landaua nie krył już nawet zdenerwowania :
Tokens: 1________ 2______ 3__ 4___ 5__ 6____ 7____________ 8

Chunks:
  TruePositive nam [2,2] = Landaua (confidence=0.98)

(ChunkerEvaluator) Sentence #808 from 00103566 from sent25

Text  : - Jeszcze tylko chwila .
Tokens: 1 2______ 3____ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #809 from 00103566 from sent26

Text  : Na pewno zaraz się zjawi .
Tokens: 1_ 2____ 3____ 4__ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #810 from 00103566 from sent27

Text  : - W końcu przybył em wcześniej niż się umawiali śmy ._
Tokens: 1 2 3____ 4______ 5_ 6________ 7__ 8__ 9_______ 10_ 11

Chunks:

(ChunkerEvaluator) Sentence #811 from 00103566 from sent28

Text  : To naturalne , że muszę chwilę zaczekać - powiedział spokojnie Sajev ._
Tokens: 1_ 2________ 3 4_ 5____ 6_____ 7_______ 8 9_________ 10_______ 11___ 12

Chunks:
  TruePositive nam [11,11] = Sajev (confidence=1.00)

(ChunkerEvaluator) Sentence #812 from 00103566 from sent29

Text  : - O , już idzie !
Tokens: 1 2 3 4__ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #813 from 00103566 from sent30

Text  : Trun , chociaż raz mógł by ś zrobić coś na czas !_
Tokens: 1___ 2 3______ 4__ 5___ 6_ 7 8_____ 9__ 10 11__ 12

Chunks:
  TruePositive nam [1,1] = Trun (confidence=0.95)

(ChunkerEvaluator) Sentence #814 from 00103566 from sent31

Text  : - Jak na czas ?
Tokens: 1 2__ 3_ 4___ 5

Chunks:

(ChunkerEvaluator) Sentence #815 from 00103566 from sent32

Text  : Jakby m był na czas , to by ście tu do południa stali -_ rzucił kold nie patrząc ani na Sajeva ,_ ani na Huberta ._
Tokens: 1____ 2 3__ 4_ 5___ 6 7_ 8_ 9___ 10 11 12______ 13___ 14 15____ 16__ 17_ 18_____ 19_ 20 21____ 22 23_ 24 25_____ 26

Chunks:
  TruePositive nam [21,21] = Sajeva (confidence=0.99)
  TruePositive nam [25,25] = Huberta (confidence=1.00)

(ChunkerEvaluator) Sentence #816 from 00103566 from sent33

Text  : Przepchnął się między nimi i zaczął majstrować przy furcie ogromnych wrót ,_ prowadzących do największego magazynu Landaua ._
Tokens: 1_________ 2__ 3_____ 4___ 5 6_____ 7_________ 8___ 9_____ 10_______ 11__ 12 13__________ 14 15__________ 16______ 17_____ 18

Chunks:
  TruePositive nam [17,17] = Landaua (confidence=1.00)

(ChunkerEvaluator) Sentence #817 from 00103566 from sent34

Text  : - Zara , ta , to na pewno ten
Tokens: 1 2___ 3 4_ 5 6_ 7_ 8____ 9__

Chunks:

(ChunkerEvaluator) Sentence #818 from 00103566 from sent35

Text  : - mamrotał pod nosem , starając się dobrać właściwy klucz z_ dość pokaźnego pęku ._
Tokens: 1 2_______ 3__ 4____ 5 6_______ 7__ 8_____ 9_______ 10___ 11 12__ 13_______ 14__ 15

Chunks:

(ChunkerEvaluator) Sentence #819 from 00103566 from sent36

Text  : Twarz Huberta zaczynała pąsowieć , Sajev obserwował scenę rozbawiony ._
Tokens: 1____ 2______ 3________ 4_______ 5 6____ 7_________ 8____ 9_________ 10

Chunks:
  TruePositive nam [2,2] = Huberta (confidence=1.00)
  TruePositive nam [6,6] = Sajev (confidence=1.00)

(ChunkerEvaluator) Sentence #820 from 00103566 from sent37

Text  : - Panie sekretarzu , może opowie mi pan o tym co tutaj na dziedzińcu widzimy ,_ a_ w_ tym czasie pan Trun upora się z_ furtą ._
Tokens: 1 2____ 3_________ 4 5___ 6_____ 7_ 8__ 9 10_ 11 12___ 13 14________ 15_____ 16 17 18 19_ 20____ 21_ 22__ 23___ 24_ 25 26___ 27

Chunks:
  TruePositive nam [22,22] = Trun (confidence=1.00)

(ChunkerEvaluator) Sentence #821 from 00103566 from sent38

Text  : Hubert spojrzał na gościa , zastanawiając się , czy drwi ,_ czy pyta na poważnie ._
Tokens: 1_____ 2_______ 3_ 4_____ 5 6____________ 7__ 8 9__ 10__ 11 12_ 13__ 14 15______ 16

Chunks:
  TruePositive nam [1,1] = Hubert (confidence=0.87)

(ChunkerEvaluator) Sentence #822 from 00103566 from sent39

Text  : Wszystko wskazywało na pełną powagę .
Tokens: 1_______ 2_________ 3_ 4____ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #823 from 00103566 from sent40

Text  : - Oczywiście panie Sajev .
Tokens: 1 2_________ 3____ 4____ 5

Chunks:
  TruePositive nam [4,4] = Sajev (confidence=1.00)

(ChunkerEvaluator) Sentence #824 from 00103566 from sent41

Text  : Zauważył pan na pewno , jak dużą wagę do bezpieczeństwa majątku swojego i_ jego partnerów przykłada pan Landau ._
Tokens: 1_______ 2__ 3_ 4____ 5 6__ 7___ 8___ 9_ 10____________ 11_____ 12_____ 13 14__ 15_______ 16_______ 17_ 18____ 19

Chunks:
  TruePositive nam [18,18] = Landau (confidence=1.00)

(ChunkerEvaluator) Sentence #825 from 00103566 from sent42

Text  : - Tak , najeżona stalowymi kolcami i naładowana magią brama ,_ przez którą tu wjechał em rzeczywiście robi wrażenie ._
Tokens: 1 2__ 3 4_______ 5________ 6______ 7 8_________ 9____ 10___ 11 12___ 13___ 14 15_____ 16 17__________ 18__ 19______ 20

Chunks:

2017-06-14 20:13:35,298 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 58 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103598.xml
(ChunkerEvaluator) Sentence #826 from 00103598 from sent1

Text  : Kasztany kwitną ( chyba ) , obrodziło więc różnymi tekstami dotyczącymi matur ._
Tokens: 1_______ 2_____ 3 4____ 5 6 7________ 8___ 9______ 10______ 11_________ 12___ 13

Chunks:

(ChunkerEvaluator) Sentence #827 from 00103598 from sent2

Text  : W zasadzie większość z nich media mogły by przedrukować z_ zeszłego roku zamiast pisać od nowa ._
Tokens: 1 2_______ 3________ 4 5___ 6____ 7____ 8_ 9___________ 10 11______ 12__ 13_____ 14___ 15 16__ 17

Chunks:

(ChunkerEvaluator) Sentence #828 from 00103598 from sent3

Text  : Czasem ktoś się wysili bardziej i pofantazjuje na temat idealnego systemu szkolnictwa ,_ gdzie nie ma rywalizacji ,_ nauczyciele uczą z_ pasją ,_ uczniowie rozwijają swoje zainteresowania i_ w_ ogóle sielanka niczym pod umówionym jaworem ,_ a_ wystarczyło by zlikwidować egzaminy ogólnopolskie ._
Tokens: 1_____ 2___ 3__ 4_____ 5_______ 6 7___________ 8_ 9____ 10_______ 11_____ 12_________ 13 14___ 15_ 16 17_________ 18 19_________ 20__ 21 22___ 23 24_______ 25_______ 26___ 27_____________ 28 29 30___ 31______ 32____ 33_ 34_______ 35_____ 36 37 38_________ 39 40_________ 41______ 42___________ 43

Chunks:

(ChunkerEvaluator) Sentence #829 from 00103598 from sent4

Text  : Ten tekst już jednak skomentował em na tablicy pewnego dżentelmena ,_ którego znają niemal wszyscy czytelnicy mojego bloga ,_ więc nie będę się powtarzał ._
Tokens: 1__ 2____ 3__ 4_____ 5__________ 6_ 7_ 8______ 9______ 10_________ 11 12_____ 13___ 14____ 15_____ 16________ 17____ 18___ 19 20__ 21_ 22__ 23_ 24_______ 25

Chunks:

(ChunkerEvaluator) Sentence #830 from 00103598 from sent5

Text  : Pomówmy o matematyce .
Tokens: 1______ 2 3_________ 4

Chunks:

(ChunkerEvaluator) Sentence #831 from 00103598 from sent6

Text  : Jestem gorącym zwolennikiem nowej matury , ale obowiązkowej matematyki już niekoniecznie ._
Tokens: 1_____ 2______ 3___________ 4____ 5_____ 6 7__ 8___________ 9_________ 10_ 11___________ 12

Chunks:

(ChunkerEvaluator) Sentence #832 from 00103598 from sent7

Text  : Bo jaka korzyść z tego płynie ?
Tokens: 1_ 2___ 3______ 4 5___ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #833 from 00103598 from sent8

Text  : Politechniki cieszą się większym zainteresowaniem na zasadzie : " Złożę podanie na górnictwo -_ jak mi się nie uda dostać na prawo /_ dziennikarstwo /_ psychologię itp ._ ,_ to tam na pewno mnie przyjmą "_ ._
Tokens: 1___________ 2_____ 3__ 4_______ 5_______________ 6_ 7_______ 8 9 10___ 11_____ 12 13_______ 14 15_ 16 17_ 18_ 19_ 20____ 21 22___ 23 24____________ 25 26_________ 27_ 28 29 30 31_ 32 33___ 34__ 35_____ 36 37

Chunks:
  FalseNegative nam [1,1] = Politechniki

(ChunkerEvaluator) Sentence #834 from 00103598 from sent9

Text  : Ktoś wierzy , że osoba , która nie pisała by matematyki ,_ gdyby ta nie była obowiązkowa ,_ zostanie dobrym inżynierem ?_
Tokens: 1___ 2_____ 3 4_ 5____ 6 7____ 8__ 9_____ 10 11________ 12 13___ 14 15_ 16__ 17_________ 18 19______ 20____ 21________ 22

Chunks:

(ChunkerEvaluator) Sentence #835 from 00103598 from sent10

Text  : Mam wrażenie , że sporo osób jednak uważa ( przynajmniej oficjalnie )_ ,_ że można się świetnie nauczyć matematyki pod przymusem ._
Tokens: 1__ 2_______ 3 4_ 5____ 6___ 7_____ 8____ 9 10__________ 11________ 12 13 14 15___ 16_ 17______ 18_____ 19________ 20_ 21_______ 22

Chunks:

(ChunkerEvaluator) Sentence #836 from 00103598 from sent11

Text  : Dziwne , że to samo nie dotyczy np . rysunku ._
Tokens: 1_____ 2 3_ 4_ 5___ 6__ 7______ 8_ 9 10_____ 11

Chunks:

(ChunkerEvaluator) Sentence #837 from 00103598 from sent12

Text  : Czy gdyby wprowadzić obowiązkową maturę z rysunku to mieli by śmy więcej wybitnych grafików czy architektów ?_
Tokens: 1__ 2____ 3_________ 4__________ 5_____ 6 7______ 8_ 9____ 10 11_ 12____ 13_______ 14______ 15_ 16_________ 17

Chunks:

(ChunkerEvaluator) Sentence #838 from 00103598 from sent13

Text  : Ja w takim wypadku prawdopodobnie nauczył by m się pewnych schematów i_ zdał maturę ,_ ale ani nie przydało by mi się to w_ życiu ,_ ani nie wpłynęło by na wybór studiów ,_ bo do czego jak czego ,_ ale do rysunku talentu nie mam za grosz ._
Tokens: 1_ 2 3____ 4______ 5_____________ 6______ 7_ 8 9__ 10_____ 11_______ 12 13__ 14____ 15 16_ 17_ 18_ 19______ 20 21 22_ 23 24 25___ 26 27_ 28_ 29______ 30 31 32___ 33_____ 34 35 36 37___ 38_ 39___ 40 41_ 42 43_____ 44_____ 45_ 46_ 47 48___ 49

Chunks:

(ChunkerEvaluator) Sentence #839 from 00103598 from sent14

Text  : Według mnie , podobnie jest z matematyką .
Tokens: 1_____ 2___ 3 4_______ 5___ 6 7_________ 8

Chunks:

(ChunkerEvaluator) Sentence #840 from 00103598 from sent15

Text  : Ta przydatna Kowalskiemu kończy się najpóźniej w gimnazjum .
Tokens: 1_ 2________ 3__________ 4_____ 5__ 6_________ 7 8________ 9

Chunks:
  TruePositive nam [3,3] = Kowalskiemu (confidence=0.99)

(ChunkerEvaluator) Sentence #841 from 00103598 from sent16

Text  : Weźmy takie logarytmy .
Tokens: 1____ 2____ 3________ 4

Chunks:

(ChunkerEvaluator) Sentence #842 from 00103598 from sent17

Text  : Najbardziej praktyczny przykład , jaki udało mi się wymyślić :_
Tokens: 1__________ 2_________ 3_______ 4 5___ 6____ 7_ 8__ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #843 from 00103598 from sent18

Text  : Kowalski wraca z pracy , je obiad , siada jak zwykle na kanapie i_ włącza telewizor ._
Tokens: 1_______ 2____ 3 4____ 5 6_ 7____ 8 9____ 10_ 11____ 12 13_____ 14 15____ 16_______ 17

Chunks:
  TruePositive nam [1,1] = Kowalski (confidence=0.90)

(ChunkerEvaluator) Sentence #844 from 00103598 from sent19

Text  : Na ekranie pojawia się informacja , że dla wygody abonentów 100 kanałów telewizji kablowej zostało od dzisiaj uszeregowanych alfabetycznie ._
Tokens: 1_ 2______ 3______ 4__ 5_________ 6 7_ 8__ 9_____ 10_______ 11_ 12_____ 13_______ 14______ 15_____ 16 17_____ 18____________ 19___________ 20

Chunks:

(ChunkerEvaluator) Sentence #845 from 00103598 from sent20

Text  : Kowalski , który akurat złamał palec i obsługa pilota sprawia mu problem ,_ zastanawia się ,_ ile najmniej kanałów musi sprawdzić ,_ aby mieć pewność ,_ że znajdzie ,_ dajmy na to ,_ Playboy TV (_ albo TV Trwam )_ ._
Tokens: 1_______ 2 3____ 4_____ 5_____ 6____ 7 8______ 9_____ 10_____ 11 12_____ 13 14________ 15_ 16 17_ 18______ 19_____ 20__ 21_______ 22 23_ 24__ 25_____ 26 27 28______ 29 30___ 31 32 33 34_____ 35 36 37__ 38 39___ 40 41

Chunks:
  TruePositive nam [1,1] = Kowalski (confidence=0.70)
  TruePositive nam [34,35] = Playboy TV (confidence=0.99)
  TruePositive nam [38,39] = TV Trwam (confidence=0.99)

2017-06-14 20:13:35,396 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 59 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103759.xml
(ChunkerEvaluator) Sentence #846 from 00103759 from sent1

Text  : Badania Mammograficzne
Tokens: 1______ 2_____________

Chunks:
  FalsePositive nam [1,2] = Badania Mammograficzne (confidence=0.96) (incorrect boundry)

(ChunkerEvaluator) Sentence #847 from 00103759 from sent2

Text  : Badania odbędą się w dniach 5 i 6 lipca 2010 r_ ._ przy Miejskiej Przychodni Zdrowia w_ Ozorkowie ul ._ Wigury 1_ ._ w_ godzinach :_ 10 :_ 00 –_ 18 :_ 00
Tokens: 1______ 2_____ 3__ 4 5_____ 6 7 8 9____ 10__ 11 12 13__ 14_______ 15________ 16_____ 17 18_______ 19 20 21____ 22 23 24 25_______ 26 27 28 29 30 31 32 33

Chunks:
  TruePositive nam [14,16] = Miejskiej Przychodni Zdrowia (confidence=1.00)
  TruePositive nam [18,18] = Ozorkowie (confidence=1.00)
  TruePositive nam [21,21] = Wigury (confidence=1.00)

(ChunkerEvaluator) Sentence #848 from 00103759 from sent3

Text  : tel . / 0 - 42 / 254 64 10 ._
Tokens: 1__ 2 3 4 5 6_ 7 8__ 9_ 10 11

Chunks:

2017-06-14 20:13:35,408 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 60 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103760.xml
(ChunkerEvaluator) Sentence #849 from 00103760 from sent1

Text  : Młodzieżowa Grupa Poetycka
Tokens: 1__________ 2____ 3_______

Chunks:
  TruePositive nam [1,3] = Młodzieżowa Grupa Poetycka (confidence=0.99)

(ChunkerEvaluator) Sentence #850 from 00103760 from sent2

Text  : Zapraszamy młodych twórców do udziału w zajęciach powstającej przy Miejskiej Bibliotece Publicznej Młodzieżowej Grupie Poetyckiej ._
Tokens: 1_________ 2______ 3______ 4_ 5______ 6 7________ 8__________ 9___ 10_______ 11________ 12________ 13__________ 14____ 15________ 16

Chunks:
  FalsePositive nam [10,15] = Miejskiej Bibliotece Publicznej Młodzieżowej Grupie Poetyckiej (confidence=1.00) (incorrect boundry)
  FalseNegative nam [10,12] = Miejskiej Bibliotece Publicznej
  FalseNegative nam [13,15] = Młodzieżowej Grupie Poetyckiej

(ChunkerEvaluator) Sentence #851 from 00103760 from sent3

Text  : Zajęcia poprowadzi absolwentka filologii polskiej Uniwersytetu Łódzkiego mgr Justyna Stańczyk ._
Tokens: 1______ 2_________ 3__________ 4________ 5_______ 6___________ 7________ 8__ 9______ 10______ 11

Chunks:
  TruePositive nam [6,7] = Uniwersytetu Łódzkiego (confidence=1.00)
  TruePositive nam [9,10] = Justyna Stańczyk (confidence=0.99)

(ChunkerEvaluator) Sentence #852 from 00103760 from sent4

Text  : Zapraszamy na drugie spotkanie w środę 9 . 11 ._ 2005 r_ ._ o_ godz ._ 17 ._ 00 w_ czytelni ul ._ Listopadowa 6b ._
Tokens: 1_________ 2_ 3_____ 4________ 5 6____ 7 8 9_ 10 11__ 12 13 14 15__ 16 17 18 19 20 21______ 22 23 24_________ 25 26

Chunks:
  TruePositive nam [24,24] = Listopadowa (confidence=0.99)

2017-06-14 20:13:35,423 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 61 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103902.xml
(ChunkerEvaluator) Sentence #853 from 00103902 from sent1

Text  : Koka od wielu wieków spożywana była przez Indian w celach leczniczych ,_ ale również jako środek pomagający głównie szamanom w_ kontaktowaniu się z_ ich bogami i_ duchami zmarłych przodków ._
Tokens: 1___ 2_ 3____ 4_____ 5________ 6___ 7____ 8_____ 9 10____ 11_________ 12 13_ 14_____ 15__ 16____ 17________ 18_____ 19______ 20 21___________ 22_ 23 24_ 25____ 26 27_____ 28______ 29______ 30

Chunks:
  TruePositive nam [8,8] = Indian (confidence=1.00)

(ChunkerEvaluator) Sentence #854 from 00103902 from sent2

Text  : Koka działa w tym przypadku jako środek pobudzający , ale przede wszystkim rytualny ,_ gdyż jej działanie jest słabsze niż kawy ._
Tokens: 1___ 2_____ 3 4__ 5________ 6___ 7_____ 8__________ 9 10_ 11____ 12_______ 13______ 14 15__ 16_ 17_______ 18__ 19_____ 20_ 21__ 22

Chunks:
  FalsePositive nam [1,1] = Koka (confidence=0.52) (incorrect boundry)

(ChunkerEvaluator) Sentence #855 from 00103902 from sent3

Text  : Nie powoduje przyspieszonego bicia serca ani zaburzeń snu .
Tokens: 1__ 2_______ 3______________ 4____ 5____ 6__ 7_______ 8__ 9

Chunks:

(ChunkerEvaluator) Sentence #856 from 00103902 from sent4

Text  : Do dziś dnia indiańskie społeczności w różnych regionach Kolumbii ,_ począwszy od strefy andyjskiej ,_ przez Karaiby ,_ region Orinoco aż po Amazonię stosują kokę w_ tym celu i_ tylko im pozwala się na uprawę w_ przydomowych “_ ogródkach ”_ kilku krzaczków tej rośliny ,_ która w_ Kolumbii z_ wiadomych powodów jest zabroniona ._
Tokens: 1_ 2___ 3___ 4_________ 5___________ 6 7______ 8________ 9_______ 10 11_______ 12 13____ 14________ 15 16___ 17_____ 18 19____ 20_____ 21 22 23______ 24_____ 25__ 26 27_ 28__ 29 30___ 31 32_____ 33_ 34 35____ 36 37__________ 38 39_______ 40 41___ 42_______ 43_ 44_____ 45 46___ 47 48______ 49 50_______ 51_____ 52__ 53________ 54

Chunks:
  TruePositive nam [9,9] = Kolumbii (confidence=1.00)
  TruePositive nam [17,17] = Karaiby (confidence=0.87)
  TruePositive nam [23,23] = Amazonię (confidence=0.99)
  TruePositive nam [48,48] = Kolumbii (confidence=1.00)
  FalsePositive nam [20,20] = Orinoco (confidence=1.00) (incorrect boundry)
  FalseNegative nam [19,20] = region Orinoco

(ChunkerEvaluator) Sentence #857 from 00103902 from sent5

Text  : Podczas ostatniego pobytu w Amazonii znajomy Indianin – Leo zawiózł mnie do rezerwatu ,_ gdzie lider indiańskiej społeczności –_ Lucinda pokazała mi ,_ na czym tak naprawdę polega mambé ._
Tokens: 1______ 2_________ 3_____ 4 5_______ 6______ 7_______ 8 9__ 10_____ 11__ 12 13_______ 14 15___ 16___ 17_________ 18__________ 19 20_____ 21______ 22 23 24 25__ 26_ 27______ 28____ 29___ 30

Chunks:
  TruePositive nam [5,5] = Amazonii (confidence=1.00)
  TruePositive nam [7,7] = Indianin (confidence=1.00)
  TruePositive nam [9,9] = Leo (confidence=1.00)
  TruePositive nam [20,20] = Lucinda (confidence=0.58)

(ChunkerEvaluator) Sentence #858 from 00103902 from sent6

Text  : Lucinda ma w swoim przydomowym ogródki kilka krzaczków koki (_ Erythroxylum coca )_ na użytek własny ._
Tokens: 1______ 2_ 3 4____ 5__________ 6______ 7____ 8________ 9___ 10 11__________ 12__ 13 14 15____ 16____ 17

Chunks:
  TruePositive nam [1,1] = Lucinda (confidence=0.82)

(ChunkerEvaluator) Sentence #859 from 00103902 from sent7

Text  : Kiedy nadchodzi moment zbiorowego spotkania , przygotowuje mambé , co oznacza ,_ że najpierw zbiera z_ krzaczka liście koki ._
Tokens: 1____ 2________ 3_____ 4_________ 5________ 6 7___________ 8____ 9 10 11_____ 12 13 14______ 15____ 16 17______ 18____ 19__ 20

Chunks:

(ChunkerEvaluator) Sentence #860 from 00103902 from sent8

Text  : Następnie suszy je i praży w dużym garnku – patelni na ogniu ._
Tokens: 1________ 2____ 3_ 4 5____ 6 7____ 8_____ 9 10_____ 11 12___ 13

Chunks:

(ChunkerEvaluator) Sentence #861 from 00103902 from sent9

Text  : Takie suche liście rozgniata na proszek i dodaje do nich popiół amazońskiej rośliny yarumo (_ Cecropia sciadophylla )_ ,_ który uaktywnia znajdujące się w_ koce alkaloidy i_ nadaje jej charakterystycznego smaku ._
Tokens: 1____ 2____ 3_____ 4________ 5_ 6______ 7 8_____ 9_ 10__ 11____ 12_________ 13_____ 14____ 15 16______ 17__________ 18 19 20___ 21_______ 22________ 23_ 24 25__ 26_______ 27 28____ 29_ 30_________________ 31___ 32

Chunks:

(ChunkerEvaluator) Sentence #862 from 00103902 from sent10

Text  : W efekcie otrzymuje się zielony proszek , którym Indianie wypełniają sobie policzki i_ powoli ,_ przez wiele godzin rozpuszczają proszek w_ ślinie ._
Tokens: 1 2______ 3________ 4__ 5______ 6______ 7 8_____ 9_______ 10________ 11___ 12______ 13 14____ 15 16___ 17___ 18____ 19__________ 20_____ 21 22____ 23

Chunks:
  TruePositive nam [9,9] = Indianie (confidence=0.99)

(ChunkerEvaluator) Sentence #863 from 00103902 from sent11

Text  : W ten właśnie sposób , który odróżnia ich od społeczności andyjskich używają koki Indianie w_ Amazonii ._
Tokens: 1 2__ 3______ 4_____ 5 6____ 7_______ 8__ 9_ 10__________ 11________ 12_____ 13__ 14______ 15 16______ 17

Chunks:
  TruePositive nam [14,14] = Indianie (confidence=1.00)
  TruePositive nam [16,16] = Amazonii (confidence=1.00)

(ChunkerEvaluator) Sentence #864 from 00103902 from sent12

Text  : W Andach żuje się całe liście koki , wysysając z_ nich sok i_ wypluwa się resztę ._
Tokens: 1 2_____ 3___ 4__ 5___ 6_____ 7___ 8 9________ 10 11__ 12_ 13 14_____ 15_ 16____ 17

Chunks:
  TruePositive nam [2,2] = Andach (confidence=0.99)

(ChunkerEvaluator) Sentence #865 from 00103902 from sent13

Text  : Mambé to cała filozofia .
Tokens: 1____ 2_ 3___ 4________ 5

Chunks:
  FalsePositive nam [1,1] = Mambé (confidence=0.90) (incorrect boundry)

(ChunkerEvaluator) Sentence #866 from 00103902 from sent14

Text  : Nie każdy może mambear .
Tokens: 1__ 2____ 3___ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #867 from 00103902 from sent15

Text  : Niektórzy to potrafią , inni nie .
Tokens: 1________ 2_ 3_______ 4 5___ 6__ 7

Chunks:

(ChunkerEvaluator) Sentence #868 from 00103902 from sent16

Text  : Mówi się , że mambean tylko ci wybrani .
Tokens: 1___ 2__ 3 4_ 5______ 6____ 7_ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #869 from 00103902 from sent17

Text  : Nam się nie udało .
Tokens: 1__ 2__ 3__ 4____ 5

Chunks:

(ChunkerEvaluator) Sentence #870 from 00103902 from sent18

Text  : Raulowi – bratu Lucindy – tak .
Tokens: 1______ 2 3____ 4______ 5 6__ 7

Chunks:
  TruePositive nam [1,1] = Raulowi (confidence=0.94)
  TruePositive nam [4,4] = Lucindy (confidence=1.00)

2017-06-14 20:13:35,506 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 62 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103926.xml
(ChunkerEvaluator) Sentence #871 from 00103926 from sent1

Text  : Aktywiści napisali list do rządu z żądaniem wyjaśnienia skąd ten kosztowny pomysł ._
Tokens: 1________ 2_______ 3___ 4_ 5____ 6 7_______ 8__________ 9___ 10_ 11_______ 12____ 13

Chunks:

(ChunkerEvaluator) Sentence #872 from 00103926 from sent2

Text  : Odpowiedź nie nadeszła , zwrócili się więc do prasy ._
Tokens: 1________ 2__ 3_______ 4 5_______ 6__ 7___ 8_ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #873 from 00103926 from sent3

Text  : Stworzyli też koalicje , na poziomie krajowym i międzynarodowym ,_ by walczyć z_ pomysłem rządu ._
Tokens: 1________ 2__ 3_______ 4 5_ 6_______ 7_______ 8 9______________ 10 11 12_____ 13 14______ 15___ 16

Chunks:

(ChunkerEvaluator) Sentence #874 from 00103926 from sent4

Text  : Partnerzy zagraniczni mieli nie dopuścić by firmy zachodnie wzięły udział w_ przetargu ._
Tokens: 1________ 2__________ 3____ 4__ 5_______ 6_ 7____ 8________ 9_____ 10____ 11 12_______ 13

Chunks:

(ChunkerEvaluator) Sentence #875 from 00103926 from sent5

Text  : Wewnątrz kraju wyjaśniali potencjalnie dotkniętym funkcjonowaniem nowego systemu jego skutki ._
Tokens: 1_______ 2____ 3_________ 4___________ 5_________ 6______________ 7_____ 8______ 9___ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #876 from 00103926 from sent6

Text  : Rząd oficjalnie głosił , że chodzi mu o ograniczenie dostępu do pornografii a_ organizacje społeczne chcą by dalej była dostępna ._
Tokens: 1___ 2_________ 3_____ 4 5_ 6_____ 7_ 8 9___________ 10_____ 11 12_________ 13 14_________ 15_______ 16__ 17 18___ 19__ 20______ 21

Chunks:

(ChunkerEvaluator) Sentence #877 from 00103926 from sent7

Text  : Koalicja lobbowała w różnych ministerstwach , w efekcie czego ministerstwo spraw zagranicznych oraz ministerstwo ds ._ praw człowieka zajęły negatywne stanowisko wobec planu systemu filtrowania ,_ promowanego przez coraz bardziej osamotnione ministerstwo ds ._ technologii komputerowych ._
Tokens: 1_______ 2________ 3 4______ 5_____________ 6 7 8______ 9____ 10__________ 11___ 12___________ 13__ 14__________ 15 16 17__ 18_______ 19____ 20_______ 21________ 22___ 23___ 24_____ 25_________ 26 27_________ 28___ 29___ 30______ 31_________ 32__________ 33 34 35_________ 36___________ 37

Chunks:
  FalsePositive nam [10,18] = ministerstwo spraw zagranicznych oraz ministerstwo ds . praw człowieka (confidence=0.84) (incorrect boundry)

(ChunkerEvaluator) Sentence #878 from 00103926 from sent8

Text  : W końcu koalicja pozwała rząd do sądu , który zadecydował ,_ że blokowanie internetu jest niekonstytucyjne ._
Tokens: 1 2____ 3_______ 4______ 5___ 6_ 7___ 8 9____ 10_________ 11 12 13________ 14_______ 15__ 16______________ 17

Chunks:
  TruePositive nam [14,14] = internetu (confidence=1.00)

(ChunkerEvaluator) Sentence #879 from 00103926 from sent9

Text  : Ellery Biddle z Center for Democracy & Technology przedstawiła sytuację ITU ._
Tokens: 1_____ 2_____ 3 4_____ 5__ 6________ 7 8_________ 9___________ 10______ 11_ 12

Chunks:
  TruePositive nam [11,11] = ITU (confidence=0.97)
  FalsePositive nam [1,2] = Ellery Biddle (confidence=1.00) (incorrect boundry)
  FalsePositive nam [4,4] = Center (confidence=0.84) (incorrect boundry)
  FalsePositive nam [6,6] = Democracy (confidence=0.69) (incorrect boundry)
  FalsePositive nam [8,8] = Technology (confidence=0.73) (incorrect boundry)
  FalseNegative nam [1,8] = Ellery Biddle z Center for Democracy & Technology

(ChunkerEvaluator) Sentence #880 from 00103926 from sent10

Text  : Traktat z 1988 roku zakładający dobrowolnie przyjęte standardy ma być zastąpiony tekstem renegocjowanym w_ zeszłym grudniu ._
Tokens: 1______ 2 3___ 4___ 5__________ 6__________ 7_______ 8________ 9_ 10_ 11________ 12_____ 13____________ 14 15_____ 16_____ 17

Chunks:

(ChunkerEvaluator) Sentence #881 from 00103926 from sent11

Text  : Ustalenia dotyczyce cyberbezpieczeństwa są niepokojące ze względu na ich wpływ na ochronę prywatności ._
Tokens: 1________ 2________ 3__________________ 4_ 5__________ 6_ 7______ 8_ 9__ 10___ 11 12_____ 13_________ 14

Chunks:

(ChunkerEvaluator) Sentence #882 from 00103926 from sent12

Text  : ITU pojawia się w dyskusjach jako alternatywa do ICANN bo jest reprezentatywne ,_ nie bardzo nadaje się jednak jako platforma do uzgadniania stanowisk reprezentantów różnych graczy ze względu na to ,_ że decyzje podejmowane są przez rządy ._
Tokens: 1__ 2______ 3__ 4 5_________ 6___ 7__________ 8_ 9____ 10 11__ 12_____________ 13 14_ 15____ 16____ 17_ 18____ 19__ 20_______ 21 22_________ 23_______ 24____________ 25_____ 26____ 27 28_____ 29 30 31 32 33_____ 34_________ 35 36___ 37___ 38

Chunks:
  TruePositive nam [1,1] = ITU (confidence=0.58)
  TruePositive nam [9,9] = ICANN (confidence=0.99)

(ChunkerEvaluator) Sentence #883 from 00103926 from sent13

Text  : ITU jest zamkniętą , nietransparentną organizacją .
Tokens: 1__ 2___ 3________ 4 5_______________ 6__________ 7

Chunks:
  TruePositive nam [1,1] = ITU (confidence=0.86)

(ChunkerEvaluator) Sentence #884 from 00103926 from sent14

Text  : Niektóre rządy starają się to zmienić , wciągają do prac aktywistów i_ przedstawicieli świata akademickiego ._
Tokens: 1_______ 2____ 3______ 4__ 5_ 6______ 7 8_______ 9_ 10__ 11________ 12 13_____________ 14____ 15___________ 16

Chunks:

(ChunkerEvaluator) Sentence #885 from 00103926 from sent15

Text  : Powstała nawet strona do publikacji dokumentów , które wyciekły z_ ITU wsitleaks.org ._
Tokens: 1_______ 2____ 3_____ 4_ 5_________ 6_________ 7 8____ 9_______ 10 11_ 12___________ 13

Chunks:
  TruePositive nam [11,11] = ITU (confidence=0.98)
  FalseNegative nam [12,12] = wsitleaks.org

(ChunkerEvaluator) Sentence #886 from 00103926 from sent16

Text  : Popołudnie miał format barcampu .
Tokens: 1_________ 2___ 3_____ 4_______ 5

Chunks:

(ChunkerEvaluator) Sentence #887 from 00103926 from sent17

Text  : Przyłączył em się do grupy dyskutującej możliwość stworzenia alternatywnych sieci (_ Alternative networks )_ ._
Tokens: 1_________ 2_ 3__ 4_ 5____ 6___________ 7________ 8_________ 9_____________ 10___ 11 12_________ 13______ 14 15

Chunks:

(ChunkerEvaluator) Sentence #888 from 00103926 from sent18

Text  : Konkluzje nie były zbyt wesołe .
Tokens: 1________ 2__ 3___ 4___ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #889 from 00103926 from sent19

Text  : Zdaje się , że dotąd nie stworzono funckjonujących sieci ._
Tokens: 1____ 2__ 3 4_ 5____ 6__ 7________ 8______________ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #890 from 00103926 from sent20

Text  : Projekt oparty na stworzeniu sieci typu mesh w oparciu o_ komórki (_ serval )_ jest w_ powijakach ,_ inne projekty tego typu (_ włączając w_ to artystyczny projekt parasolowy umbrella.net )_ nie wyszły poza sferę eksperymentów ,_ koncepcja własnego serwera dla każdego użytkownika (_ Freedom Box )_ też nie doczekała się wdrożenia ._
Tokens: 1______ 2_____ 3_ 4_________ 5____ 6___ 7___ 8 9______ 10 11_____ 12 13____ 14 15__ 16 17________ 18 19__ 20______ 21__ 22__ 23 24_______ 25 26 27_________ 28_____ 29________ 30__________ 31 32_ 33____ 34__ 35___ 36___________ 37 38_______ 39______ 40_____ 41_ 42_____ 43_________ 44 45_____ 46_ 47 48_ 49_ 50_______ 51_ 52_______ 53

Chunks:
  FalsePositive nam [45,46] = Freedom Box (confidence=1.00) (incorrect boundry)
  FalseNegative nam [30,30] = umbrella.net

2017-06-14 20:13:35,873 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 63 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103928.xml
(ChunkerEvaluator) Sentence #891 from 00103928 from sent1

Text  : Napisał Krzysiek Varga sprawozdanie z festiwalu filmów węgierskich , który się odbył w_ ostatni weekend ._
Tokens: 1______ 2_______ 3____ 4___________ 5 6________ 7_____ 8__________ 9 10___ 11_ 12___ 13 14_____ 15_____ 16

Chunks:
  TruePositive nam [2,3] = Krzysiek Varga (confidence=1.00)

(ChunkerEvaluator) Sentence #892 from 00103928 from sent2

Text  : Też poszedł em na parę filmów , był em na jednym ,_ którego nie widział ,_ a_ że mi się spodobał to o_ nim napiszę ._
Tokens: 1__ 2______ 3_ 4_ 5___ 6_____ 7 8__ 9_ 10 11____ 12 13_____ 14_ 15_____ 16 17 18 19 20_ 21______ 22 23 24_ 25_____ 26

Chunks:

(ChunkerEvaluator) Sentence #893 from 00103928 from sent3

Text  : Film ma tytuł A szovjet levelezőpajtás ( Koleżanka korespondencyjna ze Związku Radzieckiego )_ ._
Tokens: 1___ 2_ 3____ 4 5______ 6_____________ 7 8________ 9_______________ 10 11_____ 12__________ 13 14

Chunks:
  FalsePositive nam [11,12] = Związku Radzieckiego (confidence=0.93) (incorrect boundry)
  FalseNegative nam [4,6] = A szovjet levelezőpajtás
  FalseNegative nam [8,12] = Koleżanka korespondencyjna ze Związku Radzieckiego

(ChunkerEvaluator) Sentence #894 from 00103928 from sent4

Text  : Reżyser , Gábor Zsigmond Papp , postanawia odszukać swoją korespondecyjną koleżankę ,_ z_ którą przez trzy lata pisywali do siebie listy w_ okresie szkoły podstawowej ._
Tokens: 1______ 2 3____ 4_______ 5___ 6 7_________ 8_______ 9____ 10_____________ 11_______ 12 13 14___ 15___ 16__ 17__ 18______ 19 20____ 21___ 22 23_____ 24____ 25_________ 26

Chunks:
  TruePositive nam [3,5] = Gábor Zsigmond Papp (confidence=1.00)

(ChunkerEvaluator) Sentence #895 from 00103928 from sent5

Text  : Listy zachował , na podstawie strzępków zawartych w nich informacji rusza do Moskwy szukać swojej Julii ._
Tokens: 1____ 2_______ 3 4_ 5________ 6________ 7________ 8 9___ 10________ 11___ 12 13____ 14____ 15____ 16___ 17

Chunks:
  TruePositive nam [13,13] = Moskwy (confidence=0.99)
  TruePositive nam [16,16] = Julii (confidence=0.95)

(ChunkerEvaluator) Sentence #896 from 00103928 from sent6

Text  : Początek to stereotypy .
Tokens: 1_______ 2_ 3_________ 4

Chunks:

(ChunkerEvaluator) Sentence #897 from 00103928 from sent7

Text  : Przyjeżdzają do Moskwy , gapią się na wielkie reklamy ._
Tokens: 1___________ 2_ 3_____ 4 5____ 6__ 7_ 8______ 9______ 10

Chunks:
  TruePositive nam [3,3] = Moskwy (confidence=0.99)

(ChunkerEvaluator) Sentence #898 from 00103928 from sent8

Text  : Kino wybucha śmiechem gdy pojawia się nazwa sklepu Ашан pisana charakterystycznym liternictwem Auchana ._
Tokens: 1___ 2______ 3_______ 4__ 5______ 6__ 7____ 8_____ 9___ 10____ 11________________ 12__________ 13_____ 14

Chunks:
  TruePositive nam [9,9] = Ашан (confidence=0.92)
  TruePositive nam [13,13] = Auchana (confidence=0.99)

(ChunkerEvaluator) Sentence #899 from 00103928 from sent9

Text  : Idą na plac Czerwony , gdzie oglądają fotografujących się turystów ,_ odwiedzają zatkany luksusowymi butikami GUM ._
Tokens: 1__ 2_ 3___ 4_______ 5 6____ 7_______ 8______________ 9__ 10______ 11 12________ 13_____ 14_________ 15______ 16_ 17

Chunks:
  TruePositive nam [16,16] = GUM (confidence=0.99)
  FalsePositive nam [4,4] = Czerwony (confidence=0.44) (incorrect boundry)
  FalseNegative nam [3,4] = plac Czerwony

(ChunkerEvaluator) Sentence #900 from 00103928 from sent10

Text  : Po drodze opowiadają sobie historyjki z okresu socjalizmu .
Tokens: 1_ 2_____ 3_________ 4____ 5_________ 6 7_____ 8_________ 9

Chunks:

(ChunkerEvaluator) Sentence #901 from 00103928 from sent11

Text  : Julii nie znajdują , okazuje się , że wyjechała do Włoch ._
Tokens: 1____ 2__ 3_______ 4 5______ 6__ 7 8_ 9________ 10 11___ 12

Chunks:
  TruePositive nam [11,11] = Włoch (confidence=1.00)
  FalseNegative nam [1,1] = Julii

(ChunkerEvaluator) Sentence #902 from 00103928 from sent12

Text  : Uda im się spotkać natomiast brata Julii i jej dorosłą córkę ._
Tokens: 1__ 2_ 3__ 4______ 5________ 6____ 7____ 8 9__ 10_____ 11___ 12

Chunks:
  TruePositive nam [7,7] = Julii (confidence=1.00)

(ChunkerEvaluator) Sentence #903 from 00103928 from sent13

Text  : Jej mąż umarł dawno w niejasnych okolicznościach a ona sama wyjechała na zawsze ,_ już tu nie wróci ,_ mówią ._
Tokens: 1__ 2__ 3____ 4____ 5 6_________ 7______________ 8 9__ 10__ 11_______ 12 13____ 14 15_ 16 17_ 18___ 19 20___ 21

Chunks:

(ChunkerEvaluator) Sentence #904 from 00103928 from sent14

Text  : Reżyser jedzie do Włoch i spotyka tam wreszcie Julię ._
Tokens: 1______ 2_____ 3_ 4____ 5 6______ 7__ 8_______ 9____ 10

Chunks:
  TruePositive nam [4,4] = Włoch (confidence=0.98)
  TruePositive nam [9,9] = Julię (confidence=0.99)

(ChunkerEvaluator) Sentence #905 from 00103928 from sent15

Text  : Nie wiem czy sam z tym był em ale sądził em ,_ że wyszła za mąż za Włocha (_ widzieli ście kiedyś strony internetowe typu jump4love ?_ )_ i_ tam teraz z_ nim mieszka ._
Tokens: 1__ 2___ 3__ 4__ 5 6__ 7__ 8_ 9__ 10____ 11 12 13 14____ 15 16_ 17 18____ 19 20______ 21__ 22____ 23____ 24_________ 25__ 26_______ 27 28 29 30_ 31___ 32 33_ 34_____ 35

Chunks:
  TruePositive nam [18,18] = Włocha (confidence=0.99)

(ChunkerEvaluator) Sentence #906 from 00103928 from sent16

Text  : Nic z tego , mieszka owszem z mężem ale Rosjaninem ,_ który jest wysoko postawionym menedżerem w_ moskiewskiej firmie reklamowej ._
Tokens: 1__ 2 3___ 4 5______ 6_____ 7 8____ 9__ 10________ 11 12___ 13__ 14____ 15_________ 16________ 17 18__________ 19____ 20________ 21

Chunks:
  TruePositive nam [10,10] = Rosjaninem (confidence=0.95)

(ChunkerEvaluator) Sentence #907 from 00103928 from sent17

Text  : Pikanterii dodaje fakt , że Julia to nie kura domowa ale i_ sama poprzednio też zarządzała agencją ,_ teraz nie pracuje bo zajmuje się dzieckiem ._
Tokens: 1_________ 2_____ 3___ 4 5_ 6____ 7_ 8__ 9___ 10____ 11_ 12 13__ 14________ 15_ 16________ 17_____ 18 19___ 20_ 21_____ 22 23_____ 24_ 25_______ 26

Chunks:
  TruePositive nam [6,6] = Julia (confidence=1.00)

(ChunkerEvaluator) Sentence #908 from 00103928 from sent18

Text  : Okazuje się przy tym , że dla Julii mieszkanie we Włoszech to żaden luksus bo Moskwa jest droższa ._
Tokens: 1______ 2__ 3___ 4__ 5 6_ 7__ 8____ 9_________ 10 11______ 12 13___ 14____ 15 16____ 17__ 18_____ 19

Chunks:
  TruePositive nam [8,8] = Julii (confidence=1.00)
  TruePositive nam [11,11] = Włoszech (confidence=0.97)
  TruePositive nam [16,16] = Moskwa (confidence=0.98)

(ChunkerEvaluator) Sentence #909 from 00103928 from sent19

Text  : Reżyser jest dość zszokowany .
Tokens: 1______ 2___ 3___ 4_________ 5

Chunks:

(ChunkerEvaluator) Sentence #910 from 00103928 from sent20

Text  : Przedtem dowiedzieli śmy się , że pochodzi z raczej elitarnej rodziny ,_ jego ojciec pracował w_ radio ,_ pisał książki ,_ w_ dzieciństwie co dwa lata jeździli do Jugosławii na wakacje ,_ mieli Żiguli a_ nie Trabanta ._
Tokens: 1_______ 2__________ 3__ 4__ 5 6_ 7_______ 8 9_____ 10_______ 11_____ 12 13__ 14____ 15______ 16 17___ 18 19___ 20_____ 21 22 23__________ 24 25_ 26__ 27______ 28 29________ 30 31_____ 32 33___ 34____ 35 36_ 37______ 38

Chunks:
  TruePositive nam [29,29] = Jugosławii (confidence=0.91)
  TruePositive nam [34,34] = Żiguli (confidence=1.00)
  TruePositive nam [37,37] = Trabanta (confidence=0.95)

(ChunkerEvaluator) Sentence #911 from 00103928 from sent21

Text  : Julia natomiast pochodzi z robotniczej rodziny , skończyła szkołę dla szwaczek ,_ zaczynała od samego dna ._
Tokens: 1____ 2________ 3_______ 4 5__________ 6______ 7 8________ 9_____ 10_ 11______ 12 13_______ 14 15____ 16_ 17

Chunks:
  FalseNegative nam [1,1] = Julia

2017-06-14 20:13:35,970 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 64 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103929.xml
(ChunkerEvaluator) Sentence #912 from 00103929 from sent1

Text  : Mój serbski kolega Pavle został obywatelem węgierskim w ostatni piątek i_ oficjalnie nazywa się Pál ._
Tokens: 1__ 2______ 3_____ 4____ 5_____ 6_________ 7_________ 8 9______ 10____ 11 12________ 13____ 14_ 15_ 16

Chunks:
  TruePositive nam [4,4] = Pavle (confidence=0.96)
  TruePositive nam [15,15] = Pál (confidence=1.00)

(ChunkerEvaluator) Sentence #913 from 00103929 from sent2

Text  : Cieszymy się , przede wszystkim dlatego , że będzie miał paszport Schengen i_ łatwiej będzie mu podróżować ._
Tokens: 1_______ 2__ 3 4_____ 5________ 6______ 7 8_ 9_____ 10__ 11______ 12______ 13 14_____ 15____ 16 17________ 18

Chunks:
  FalsePositive nam [12,12] = Schengen (confidence=0.76) (incorrect boundry)

(ChunkerEvaluator) Sentence #914 from 00103929 from sent3

Text  : Mniej cieszą się pewnie ci , dzięki którym było to możliwe a_ mianowicie autorzy ustawy o_ obywatelstwie ,_ która bardzo uprościła proces uzyskiwania obywatelstwa węgierskiego tak by mogli je otrzymywać Węgrzy mieszkający w_ krajach sąsiednich ._
Tokens: 1____ 2_____ 3__ 4_____ 5_ 6 7_____ 8_____ 9___ 10 11_____ 12 13________ 14_____ 15____ 16 17___________ 18 19___ 20____ 21_______ 22____ 23_________ 24__________ 25__________ 26_ 27 28___ 29 30________ 31____ 32_________ 33 34_____ 35________ 36

Chunks:
  TruePositive nam [31,31] = Węgrzy (confidence=0.99)

(ChunkerEvaluator) Sentence #915 from 00103929 from sent4

Text  : Pavle uciekł z Serbii przed wojnami Miloszewicza i serdecznie nienawidzi wszelkich nacjonalizmów ,_ w_ tym i_ węgierskiego ._
Tokens: 1____ 2_____ 3 4_____ 5____ 6______ 7___________ 8 9_________ 10________ 11_______ 12___________ 13 14 15_ 16 17__________ 18

Chunks:
  TruePositive nam [4,4] = Serbii (confidence=1.00)
  TruePositive nam [7,7] = Miloszewicza (confidence=0.93)
  FalseNegative nam [1,1] = Pavle

(ChunkerEvaluator) Sentence #916 from 00103929 from sent5

Text  : Jak to się stało ?
Tokens: 1__ 2_ 3__ 4____ 5

Chunks:

(ChunkerEvaluator) Sentence #917 from 00103929 from sent6

Text  : Ano tak : w ustawie prawo do obywatelstwa węgierskiego daje się wszystkim ,_ których przodkowie mieli kiedyś obywatelstwo węgierskie (_ jakoś trzeba było prawnie określić kto jest Węgrem )_ ._
Tokens: 1__ 2__ 3 4 5______ 6____ 7_ 8___________ 9___________ 10__ 11_ 12_______ 13 14_____ 15________ 16___ 17____ 18__________ 19________ 20 21___ 22____ 23__ 24_____ 25______ 26_ 27__ 28____ 29 30

Chunks:
  TruePositive nam [28,28] = Węgrem (confidence=0.99)

(ChunkerEvaluator) Sentence #918 from 00103929 from sent7

Text  : Pavle pochodzi z Wojwodiny , jego dziadkowie obywatelstwo to przez jakiś czas mieli ,_ więc się kwalifikuje ._
Tokens: 1____ 2_______ 3 4________ 5 6___ 7_________ 8___________ 9_ 10___ 11___ 12__ 13___ 14 15__ 16_ 17_________ 18

Chunks:
  TruePositive nam [4,4] = Wojwodiny (confidence=0.97)
  FalseNegative nam [1,1] = Pavle

(ChunkerEvaluator) Sentence #919 from 00103929 from sent8

Text  : O
Tokens: 1

Chunks:

(ChunkerEvaluator) Sentence #920 from 00103929 from sent9

Text  : tej nieco zaskakującej konsekwencji ustawy dowiedział się on od swojego kolegi Serba ,_ któremu z_ kolei powiedzieli o_ niej pracownicy MSW ,_ gdzie kolega uczy angielskiego ._
Tokens: 1__ 2____ 3___________ 4___________ 5_____ 6_________ 7__ 8_ 9_ 10_____ 11____ 12___ 13 14_____ 15 16___ 17_________ 18 19__ 20________ 21_ 22 23___ 24____ 25__ 26__________ 27

Chunks:
  TruePositive nam [12,12] = Serba (confidence=0.96)
  TruePositive nam [21,21] = MSW (confidence=1.00)

(ChunkerEvaluator) Sentence #921 from 00103929 from sent10

Text  : Ciekawostką jest , że gdy żona Pavle zadzwoniła do ich lokalnego samorządu posłano ją do wszystkich diabłów bo "_ co sobie wyobraża "_ natomiast w_ innym samorządzie (_ według ustawy papiery o_ obywatelstwo można składać w_ dowolnym samorządzie )_ przyjęto ich dużo przyjaźniej i_ udzielono pomocy w_ składaniu wniosku idącej dalej niż wymaga tego zawodowa uprzejmość ,_ a_ przecież i_ tu i_ tu ta sama ustawa obowiązuje ._
Tokens: 1__________ 2___ 3 4_ 5__ 6___ 7____ 8_________ 9_ 10_ 11_______ 12_______ 13_____ 14 15 16________ 17_____ 18 19 20 21___ 22______ 23 24_______ 25 26___ 27_________ 28 29____ 30____ 31_____ 32 33__________ 34___ 35_____ 36 37______ 38_________ 39 40______ 41_ 42__ 43_________ 44 45_______ 46____ 47 48_______ 49_____ 50____ 51___ 52_ 53____ 54__ 55______ 56________ 57 58 59______ 60 61 62 63 64 65__ 66____ 67________ 68

Chunks:
  TruePositive nam [7,7] = Pavle (confidence=0.91)

(ChunkerEvaluator) Sentence #922 from 00103929 from sent11

Text  : Oczekiwanie na decyzję było krótkie , Pavle musiał tylko zademonstrować w_ międzyczasie znajomość języka węgierskiego ._
Tokens: 1__________ 2_ 3______ 4___ 5______ 6 7____ 8_____ 9____ 10____________ 11 12__________ 13_______ 14____ 15__________ 16

Chunks:
  TruePositive nam [7,7] = Pavle (confidence=0.73)

(ChunkerEvaluator) Sentence #923 from 00103929 from sent12

Text  : Sama ceremonia nadania obywatelstwa pozbawiona była patosu .
Tokens: 1___ 2________ 3______ 4___________ 5_________ 6___ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #924 from 00103929 from sent13

Text  : Przy składaniu przysięgi można było jak kto chciał dodać "_ tak mi dopomóż Bóg "_ a_ prowadząca ceremonię urzędniczka w_ przemówieniu powiedziała ,_ że może Węgry obecnie nie są krajem naszych marzeń ale co zrobić ._
Tokens: 1___ 2________ 3________ 4____ 5___ 6__ 7__ 8_____ 9____ 10 11_ 12 13_____ 14_ 15 16 17________ 18_______ 19_________ 20 21__________ 22_________ 23 24 25__ 26___ 27_____ 28_ 29 30____ 31_____ 32____ 33_ 34 35____ 36

Chunks:
  TruePositive nam [14,14] = Bóg (confidence=1.00)
  TruePositive nam [26,26] = Węgry (confidence=1.00)

(ChunkerEvaluator) Sentence #925 from 00103929 from sent14

Text  : Wspomniany kolega Pavle też , wraz ze swą rodziną ,_ jest już obywatelem węgierskim ._
Tokens: 1_________ 2_____ 3____ 4__ 5 6___ 7_ 8__ 9______ 10 11__ 12_ 13________ 14________ 15

Chunks:
  TruePositive nam [3,3] = Pavle (confidence=0.85)

(ChunkerEvaluator) Sentence #926 from 00103929 from sent15

Text  : Ciekaw jestem ile jest takich wypadków , czy to zjawisko jednostkowe czy też jest tu jakiś trend ._
Tokens: 1_____ 2_____ 3__ 4___ 5_____ 6_______ 7 8__ 9_ 10______ 11_________ 12_ 13_ 14__ 15 16___ 17___ 18

Chunks:

2017-06-14 20:13:36,056 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 65 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103934.xml
(ChunkerEvaluator) Sentence #927 from 00103934 from sent1

Text  : Zaciekawił mnie tekst Dukaja ( który w Tygodniku Powszechnym kiedyś napisał świetny tekst o_ rozproszonej bibliotece )_ ._
Tokens: 1_________ 2___ 3____ 4_____ 5 6____ 7 8________ 9__________ 10____ 11_____ 12_____ 13___ 14 15__________ 16________ 17 18

Chunks:
  TruePositive nam [4,4] = Dukaja (confidence=1.00)
  TruePositive nam [8,9] = Tygodniku Powszechnym (confidence=0.99)

(ChunkerEvaluator) Sentence #928 from 00103934 from sent2

Text  : Dukaj stawia tezę , że e - booki mogą spowodować zapaść całego rynku książki ,_ tak jak popularyzacja mp3 załamała rynek muzyczny ,_ oparty jednocześnie na sprzedaży płyt ._
Tokens: 1____ 2_____ 3___ 4 5_ 6 7 8____ 9___ 10________ 11____ 12____ 13___ 14_____ 15 16_ 17_ 18___________ 19_ 20______ 21___ 22______ 23 24____ 25__________ 26 27_______ 28__ 29

Chunks:
  FalseNegative nam [1,1] = Dukaj
  FalseNegative nam [19,19] = mp3

(ChunkerEvaluator) Sentence #929 from 00103934 from sent3

Text  : Ale akapit później pisze o jeszcze jednym trendzie – moim zdaniem dużo ważniejszym :_ dostępność tytułów w_ innych językach (_ szczególnie po angielsku )_ –_ w_ sytuacji gdy ludzie te języki znają ,_ a_ grupa docelowa dla większości tytułów wynosi ok ._ 2000 osób –_ oznacza ,_ że czytelnicy „_ odpłyną ”_ nie tyle w_ Sieć ,_ co do wersji obcojęzycznych ._
Tokens: 1__ 2_____ 3______ 4____ 5 6______ 7_____ 8_______ 9 10__ 11_____ 12__ 13_________ 14 15________ 16_____ 17 18____ 19______ 20 21_________ 22 23_______ 24 25 26 27______ 28_ 29____ 30 31____ 32___ 33 34 35___ 36______ 37_ 38________ 39_____ 40____ 41 42 43__ 44__ 45 46_____ 47 48 49________ 50 51_____ 52 53_ 54__ 55 56__ 57 58 59 60____ 61____________ 62

Chunks:
  FalsePositive nam [56,56] = Sieć (confidence=0.61) (incorrect boundry)

(ChunkerEvaluator) Sentence #930 from 00103934 from sent4

Text  : Z tym samym skutkiem zapaści rynku krajowego .
Tokens: 1 2__ 3____ 4_______ 5______ 6____ 7________ 8

Chunks:

(ChunkerEvaluator) Sentence #931 from 00103934 from sent5

Text  : Myślę , że to dość słuszna diagnoza .
Tokens: 1____ 2 3_ 4_ 5___ 6______ 7_______ 8

Chunks:

(ChunkerEvaluator) Sentence #932 from 00103934 from sent6

Text  : Dukaj jako jedyne wyjście z sytuacji podaje wprowadzenie mocnych zabezpieczeń technicznych (_ DRM )_ ,_ uniemożliwiających szkodliwe dla sprzedaży kopiowanie treści ._
Tokens: 1____ 2___ 3_____ 4______ 5 6_______ 7_____ 8___________ 9______ 10__________ 11__________ 12 13_ 14 15 16________________ 17_______ 18_ 19_______ 20________ 21____ 22

Chunks:
  FalsePositive nam [13,13] = DRM (confidence=0.75) (incorrect boundry)
  FalseNegative nam [1,1] = Dukaj

(ChunkerEvaluator) Sentence #933 from 00103934 from sent7

Text  : Jednak problemu „ konkurencji z zagranicą ” to nie rozwiąże ._
Tokens: 1_____ 2_______ 3 4__________ 5 6________ 7 8_ 9__ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #934 from 00103934 from sent8

Text  : Jest jednak inne rozwiązanie , jakim są subskrypcje .
Tokens: 1___ 2_____ 3___ 4__________ 5 6____ 7_ 8__________ 9

Chunks:

(ChunkerEvaluator) Sentence #935 from 00103934 from sent9

Text  : Dziś nazywane „ crowdfundingiem ” .
Tokens: 1___ 2_______ 3 4______________ 5 6

Chunks:

(ChunkerEvaluator) Sentence #936 from 00103934 from sent10

Text  : Ale pamiętam z dzieciństwa wykupywanie z ojcem kolejnego tomu Encyklopedii Powszechnej PWN ,_ właśnie na subskrypcję ._
Tokens: 1__ 2_______ 3 4__________ 5__________ 6 7____ 8________ 9___ 10__________ 11_________ 12_ 13 14_____ 15 16_________ 17

Chunks:
  TruePositive nam [10,12] = Encyklopedii Powszechnej PWN (confidence=1.00)

(ChunkerEvaluator) Sentence #937 from 00103934 from sent11

Text  : To model , który pozwala sprawdzić , czy dla danej pozycji znajdzie się nisza na rynku ,_ przed zainwestowaniem środków ._
Tokens: 1_ 2____ 3 4____ 5______ 6________ 7 8__ 9__ 10___ 11_____ 12______ 13_ 14___ 15 16___ 17 18___ 19_____________ 20_____ 21

Chunks:

(ChunkerEvaluator) Sentence #938 from 00103934 from sent12

Text  : Jedyne z czym się należy pogodzić , to że wszelki utarg ponad zebraną z_ subskrypcji sumę jest mało prawdopodobny ._
Tokens: 1_____ 2 3___ 4__ 5_____ 6_______ 7 8_ 9_ 10_____ 11___ 12___ 13_____ 14 15_________ 16__ 17__ 18__ 19___________ 20

Chunks:

(ChunkerEvaluator) Sentence #939 from 00103934 from sent13

Text  : Ale poza tym subskrypcje wydają się modelem idealnym – gwarantują pewne środki ,_ a_ w_ środowisku sieciowym ich promocja nie jest problemem ._
Tokens: 1__ 2___ 3__ 4__________ 5_____ 6__ 7______ 8_______ 9 10________ 11___ 12____ 13 14 15 16________ 17_______ 18_ 19______ 20_ 21__ 22_______ 23

Chunks:

(ChunkerEvaluator) Sentence #940 from 00103934 from sent14

Text  : Pytanie tylko , czy znajdzie się dość duża nisza –_ możliwe więc ,_ że amatorzy naprawdę niszowej twórczości będą musieli za nią bardzo dużo płacić (_ co dla pozycji zagranicznych pewnie będzie barierą –_ ale w_ przypadku treści polskich może się okazać ,_ że prawdziwi fani zapłacą naprawdę dużo za kolejną książkę czy płytę twórcy )_ ._
Tokens: 1______ 2____ 3 4__ 5_______ 6__ 7___ 8___ 9____ 10 11_____ 12__ 13 14 15______ 16______ 17______ 18________ 19__ 20_____ 21 22_ 23____ 24__ 25____ 26 27 28_ 29_____ 30___________ 31____ 32____ 33_____ 34 35_ 36 37_______ 38____ 39______ 40__ 41_ 42____ 43 44 45_______ 46__ 47_____ 48______ 49__ 50 51_____ 52_____ 53_ 54___ 55____ 56 57

Chunks:

(ChunkerEvaluator) Sentence #941 from 00103934 from sent15

Text  : Pozostaje zacząć eksperymenty .
Tokens: 1________ 2_____ 3___________ 4

Chunks:

(ChunkerEvaluator) Sentence #942 from 00103934 from sent16

Text  : Na świecie Kickstarter świętuje sukcesy , w Polsce Megatotal ma nową odsłonę ,_ Fundacja Nowoczesna Polska eksperymentuje z_ subskrypcjami na współfinansowanie konkursu o_ przyszłości prawa autorskiego ._
Tokens: 1_ 2______ 3__________ 4_______ 5______ 6 7 8_____ 9________ 10 11__ 12_____ 13 14______ 15________ 16____ 17____________ 18 19___________ 20 21_______________ 22______ 23 24_________ 25___ 26_________ 27

Chunks:
  TruePositive nam [3,3] = Kickstarter (confidence=0.97)
  TruePositive nam [14,16] = Fundacja Nowoczesna Polska (confidence=1.00)
  FalsePositive nam [8,9] = Polsce Megatotal (confidence=1.00) (incorrect boundry)
  FalseNegative nam [8,8] = Polsce
  FalseNegative nam [9,9] = Megatotal

2017-06-14 20:13:36,144 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 66 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103949.xml
(ChunkerEvaluator) Sentence #943 from 00103949 from sent1

Text  : W świątecznej „ Polityce ” Edwin Bendyk pisze o polskiej Wikipedii ._
Tokens: 1 2__________ 3 4_______ 5 6____ 7_____ 8____ 9 10______ 11_______ 12

Chunks:
  TruePositive nam [4,4] = Polityce (confidence=1.00)
  TruePositive nam [6,7] = Edwin Bendyk (confidence=1.00)
  TruePositive nam [11,11] = Wikipedii (confidence=0.99)

(ChunkerEvaluator) Sentence #944 from 00103949 from sent2

Text  : Nie popadając w skrajności , co ważne , w wypadku flagowego projektu nie tylko polskiego internetu ._
Tokens: 1__ 2________ 3 4_________ 5 6_ 7____ 8 9 10_____ 11_______ 12______ 13_ 14___ 15_______ 16_______ 17

Chunks:
  TruePositive nam [16,16] = internetu (confidence=0.98)

(ChunkerEvaluator) Sentence #945 from 00103949 from sent3

Text  : Projektu , o którym najczęściej pisze się w tonie entuzjastycznym albo napiętnującym ._
Tokens: 1_______ 2 3 4_____ 5__________ 6____ 7__ 8 9____ 10_____________ 11__ 12___________ 13

Chunks:

(ChunkerEvaluator) Sentence #946 from 00103949 from sent4

Text  : A chyba już czas na bardziej subtelne analizy .
Tokens: 1 2____ 3__ 4___ 5_ 6_______ 7_______ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #947 from 00103949 from sent5

Text  : W tekście przywoływane są moje wypowiedzi – o tym ,_ że Wikipedia jest hiper -_ popularna ,_ ale też że na tle innych edycji wypada dość blado ._
Tokens: 1 2______ 3___________ 4_ 5___ 6_________ 7 8 9__ 10 11 12_______ 13__ 14___ 15 16_______ 17 18_ 19_ 20 21 22_ 23____ 24____ 25____ 26__ 27___ 28

Chunks:
  TruePositive nam [12,12] = Wikipedia (confidence=0.94)

(ChunkerEvaluator) Sentence #948 from 00103949 from sent6

Text  : Chciał by m je tu rozszerzyć .
Tokens: 1_____ 2_ 3 4_ 5_ 6_________ 7

Chunks:

(ChunkerEvaluator) Sentence #949 from 00103949 from sent7

Text  : Jednak na początek kilka słów o moich intencjach .
Tokens: 1_____ 2_ 3_______ 4____ 5___ 6 7____ 8_________ 9

Chunks:

(ChunkerEvaluator) Sentence #950 from 00103949 from sent8

Text  : Jestem fanem Wikipedii , flagowego przedsięwzięcia internetowej produkcji partnerskiej ._
Tokens: 1_____ 2____ 3________ 4 5________ 6______________ 7___________ 8________ 9___________ 10

Chunks:
  TruePositive nam [3,3] = Wikipedii (confidence=1.00)

(ChunkerEvaluator) Sentence #951 from 00103949 from sent9

Text  : Jestem pełen szacunku dla pracy Wikipedystów .
Tokens: 1_____ 2____ 3_______ 4__ 5____ 6___________ 7

Chunks:
  TruePositive nam [6,6] = Wikipedystów (confidence=1.00)

(ChunkerEvaluator) Sentence #952 from 00103949 from sent10

Text  : Ale równocześnie : mam świadomość , że nie wszystkie Wikipedie działają równie dobrze ._
Tokens: 1__ 2___________ 3 4__ 5_________ 6 7_ 8__ 9________ 10_______ 11______ 12____ 13____ 14

Chunks:
  TruePositive nam [10,10] = Wikipedie (confidence=1.00)

(ChunkerEvaluator) Sentence #953 from 00103949 from sent11

Text  : A dokładniej – świadomość , że polska edycja w globalnym zestawieniu wypada kiepsko ._
Tokens: 1 2_________ 3 4_________ 5 6_ 7_____ 8_____ 9 10_______ 11_________ 12____ 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #954 from 00103949 from sent12

Text  : O czym to świadczy ?
Tokens: 1 2___ 3_ 4_______ 5

Chunks:

(ChunkerEvaluator) Sentence #955 from 00103949 from sent13

Text  : Fakt , że haseł jest dużo – depczemy po piętach wersji włoskiej ,_ która jest piąta ._
Tokens: 1___ 2 3_ 4____ 5___ 6___ 7 8_______ 9_ 10_____ 11____ 12______ 13 14___ 15__ 16___ 17

Chunks:

(ChunkerEvaluator) Sentence #956 from 00103949 from sent14

Text  : Ale jeśli zejdziemy głębiej , pod powierzchnię liczby haseł ,_ przestaje być miło ._
Tokens: 1__ 2____ 3________ 4______ 5 6__ 7___________ 8_____ 9____ 10 11_______ 12_ 13__ 14

Chunks:

(ChunkerEvaluator) Sentence #957 from 00103949 from sent15

Text  : Już na poziomie odczuć użytkownika , bez wnikania w głębszą analizę ,_ trudno uwolnić się od poczucia ,_ że znaczna część haseł to po prostu tłumaczenia fragmentów haseł anglojęzycznych ._
Tokens: 1__ 2_ 3_______ 4_____ 5__________ 6 7__ 8_______ 9 10_____ 11_____ 12 13____ 14_____ 15_ 16 17______ 18 19 20_____ 21___ 22___ 23 24 25____ 26_________ 27________ 28___ 29_____________ 30

Chunks:

(ChunkerEvaluator) Sentence #958 from 00103949 from sent16

Text  : Dobrym – i mniej subiektywnym – wskaźnikiem wypracowanym przez samych Wikipedystów jest głębokość artykułów ,_ obliczana na podstawie liczby edycji artykułów i_ stosunku haseł i_ stron wspomagających (_ czyli „_ talk pages ”_ ,_ na których prowadzone są dyskusje na temat haseł )_ ._
Tokens: 1_____ 2 3 4____ 5___________ 6 7__________ 8___________ 9____ 10____ 11__________ 12__ 13_______ 14_______ 15 16_______ 17 18_______ 19____ 20____ 21_______ 22 23______ 24___ 25 26___ 27____________ 28 29___ 30 31__ 32___ 33 34 35 36_____ 37________ 38 39______ 40 41___ 42___ 43 44

Chunks:
  TruePositive nam [11,11] = Wikipedystów (confidence=1.00)

(ChunkerEvaluator) Sentence #959 from 00103949 from sent17

Text  : Nasza Wikipedia jest „ najpłytsza ” spośród 20 największych Wikipedii ._
Tokens: 1____ 2________ 3___ 4 5_________ 6 7______ 8_ 9___________ 10_______ 11

Chunks:
  TruePositive nam [2,2] = Wikipedia (confidence=0.70)
  TruePositive nam [10,10] = Wikipedii (confidence=0.77)

(ChunkerEvaluator) Sentence #960 from 00103949 from sent18

Text  : Jej głębokość wynosi 14 .
Tokens: 1__ 2________ 3_____ 4_ 5

Chunks:

(ChunkerEvaluator) Sentence #961 from 00103949 from sent19

Text  : Głębokość angielskiej – 671 .
Tokens: 1________ 2__________ 3 4__ 5

Chunks:

(ChunkerEvaluator) Sentence #962 from 00103949 from sent20

Text  : Zerknijcie też na pracę doktorską Jose Felipe Ortegi Soto –_ jest poświęcona ilościowym analizom dziesięciu największych Wikipedii ._
Tokens: 1_________ 2__ 3_ 4____ 5________ 6___ 7_____ 8_____ 9___ 10 11__ 12________ 13________ 14______ 15________ 16__________ 17_______ 18

Chunks:
  TruePositive nam [6,9] = Jose Felipe Ortegi Soto (confidence=1.00)
  TruePositive nam [17,17] = Wikipedii (confidence=0.98)

(ChunkerEvaluator) Sentence #963 from 00103949 from sent21

Text  : Dane – choć trzeba podkreślić , że nie pierwszej świeżości –_ są alarmujące ._
Tokens: 1___ 2 3___ 4_____ 5_________ 6 7_ 8__ 9________ 10_______ 11 12 13________ 14

Chunks:

(ChunkerEvaluator) Sentence #964 from 00103949 from sent22

Text  : Polska Wikipedia jawi się na ich podstawie jako twór garstki osób intensywnie posiłkujących się pracą botów ._
Tokens: 1_____ 2________ 3___ 4__ 5_ 6__ 7________ 8___ 9___ 10_____ 11__ 12_________ 13___________ 14_ 15___ 16___ 17

Chunks:
  FalsePositive nam [1,2] = Polska Wikipedia (confidence=0.99) (incorrect boundry)
  FalseNegative nam [2,2] = Wikipedia

(ChunkerEvaluator) Sentence #965 from 00103949 from sent23

Text  : Odsetek „ talk pages ” , a więc haseł ,_ przy których toczy się jakakolwiek dyskusja ,_ wynosi niewiele ponad 8_ %_ i_ jest najniższy w_ całym zestawieniu ._
Tokens: 1______ 2 3___ 4____ 5 6 7 8___ 9____ 10 11__ 12_____ 13___ 14_ 15_________ 16______ 17 18____ 19______ 20___ 21 22 23 24__ 25_______ 26 27___ 28_________ 29

Chunks:

(ChunkerEvaluator) Sentence #966 from 00103949 from sent24

Text  : W wypadku wiodącej edycji angielskiej wynosi ponad 80 % ._
Tokens: 1 2______ 3_______ 4_____ 5__________ 6_____ 7____ 8_ 9 10

Chunks:

2017-06-14 20:13:36,235 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 67 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107243.xml
(ChunkerEvaluator) Sentence #967 from 00107243 from sent1

Text  : 2005-04-05 : Rozpoczną się procesy w sprawie prześladowań ludności w_ Darfurze
Tokens: 1_________ 2 3________ 4__ 5______ 6 7______ 8___________ 9_______ 10 11______

Chunks:
  TruePositive nam [11,11] = Darfurze (confidence=1.00)

(ChunkerEvaluator) Sentence #968 from 00107243 from sent2

Text  : Organizacja Narodów Zjednoczonych przedstawiła Międzynarodowemu Trybunałowi Karnemu zapieczętowaną listę 51 osób podejrzanych o_ prześladowania ludności w_ Darfurze w_ zachodnim Sudanie ._
Tokens: 1__________ 2______ 3____________ 4___________ 5_______________ 6__________ 7______ 8_____________ 9____ 10 11__ 12__________ 13 14____________ 15______ 16 17______ 18 19_______ 20_____ 21

Chunks:
  TruePositive nam [1,3] = Organizacja Narodów Zjednoczonych (confidence=0.52)
  TruePositive nam [5,7] = Międzynarodowemu Trybunałowi Karnemu (confidence=0.98)
  TruePositive nam [17,17] = Darfurze (confidence=1.00)
  TruePositive nam [20,20] = Sudanie (confidence=1.00)

(ChunkerEvaluator) Sentence #969 from 00107243 from sent3

Text  : Rezolucję o skierowaniu sprawy do trybunału uchwaliła w ubiegłym tygodniu Rada Bezpieczeństwa ONZ ,_ a_ była to pierwsza tego typu decyzja rady ._
Tokens: 1________ 2 3__________ 4_____ 5_ 6________ 7________ 8 9_______ 10______ 11__ 12____________ 13_ 14 15 16__ 17 18______ 19__ 20__ 21_____ 22__ 23

Chunks:
  TruePositive nam [11,12] = Rada Bezpieczeństwa (confidence=1.00)
  TruePositive nam [13,13] = ONZ (confidence=0.71)

(ChunkerEvaluator) Sentence #970 from 00107243 from sent4

Text  : Prezydent Sudanu Omar al - Baszir już zapowiedział , że jego kraj nie będzie współpracował z_ trybunałem w_ Hadze ._
Tokens: 1________ 2_____ 3___ 4_ 5 6_____ 7__ 8___________ 9 10 11__ 12__ 13_ 14____ 15___________ 16 17________ 18 19___ 20

Chunks:
  TruePositive nam [2,2] = Sudanu (confidence=0.98)
  TruePositive nam [3,6] = Omar al - Baszir (confidence=0.96)
  TruePositive nam [19,19] = Hadze (confidence=1.00)

(ChunkerEvaluator) Sentence #971 from 00107243 from sent5

Text  : Dziesiątki tysięcy ludzi , zachęcane przez media , wzięły udział w_ manifestacji w_ Chartumie ,_ skierowanej przeciwko ONZ ._
Tokens: 1_________ 2______ 3____ 4 5________ 6____ 7____ 8 9_____ 10____ 11 12__________ 13 14_______ 15 16_________ 17_______ 18_ 19

Chunks:
  TruePositive nam [14,14] = Chartumie (confidence=1.00)
  TruePositive nam [18,18] = ONZ (confidence=1.00)

(ChunkerEvaluator) Sentence #972 from 00107243 from sent6

Text  : Lista przekazana przez Kofiego Annana w Nowym Jorku głównemu oskarżycielowi MTK dotyczy osób oskarżanych o_ mordy ,_ tortury i_ gwałty dokonywane na ludności Darfuru ,_ a_ widnieją na niej nazwiska członków sudańskiego rządu i_ dowódców armii oraz rebeliantów ._
Tokens: 1____ 2_________ 3____ 4______ 5_____ 6 7____ 8____ 9_______ 10____________ 11_ 12_____ 13__ 14_________ 15 16___ 17 18_____ 19 20____ 21________ 22 23______ 24_____ 25 26 27______ 28 29__ 30______ 31______ 32_________ 33___ 34 35______ 36___ 37__ 38_________ 39

Chunks:
  TruePositive nam [4,5] = Kofiego Annana (confidence=1.00)
  TruePositive nam [7,8] = Nowym Jorku (confidence=0.99)
  TruePositive nam [11,11] = MTK (confidence=1.00)
  TruePositive nam [24,24] = Darfuru (confidence=0.99)

(ChunkerEvaluator) Sentence #973 from 00107243 from sent7

Text  : Luis Moreno Ocampo z haskiego trybunału zapowiedział walkę z bezkarnością i_ okrucieństwem w_ Sudanie ._
Tokens: 1___ 2_____ 3_____ 4 5_______ 6________ 7___________ 8____ 9 10__________ 11 12___________ 13 14_____ 15

Chunks:
  TruePositive nam [1,3] = Luis Moreno Ocampo (confidence=0.99)
  TruePositive nam [14,14] = Sudanie (confidence=1.00)

(ChunkerEvaluator) Sentence #974 from 00107243 from sent8

Text  : Prezydent al - Baszir przysiągł jednak publicznie , że nie wyda żadnego obywatela sudańskiego zagranicznemu trybunałowi ._
Tokens: 1________ 2_ 3 4_____ 5________ 6_____ 7_________ 8 9_ 10_ 11__ 12_____ 13_______ 14_________ 15___________ 16_________ 17

Chunks:
  FalsePositive nam [4,4] = Baszir (confidence=0.54) (incorrect boundry)
  FalseNegative nam [2,4] = al - Baszir

(ChunkerEvaluator) Sentence #975 from 00107243 from sent9

Text  : Zdaniem przedstawicieli Rady Bezpieczeństwa ONZ , władze Sudanu odpowiedzialne są za pogwałcenie praw człowieka na skalę określaną jako zbrodnia przeciwko ludzkości ._
Tokens: 1______ 2______________ 3___ 4_____________ 5__ 6 7_____ 8_____ 9_____________ 10 11 12_________ 13__ 14_______ 15 16___ 17_______ 18__ 19______ 20_______ 21_______ 22

Chunks:
  TruePositive nam [8,8] = Sudanu (confidence=1.00)
  FalsePositive nam [3,5] = Rady Bezpieczeństwa ONZ (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,4] = Rady Bezpieczeństwa
  FalseNegative nam [5,5] = ONZ

(ChunkerEvaluator) Sentence #976 from 00107243 from sent10

Text  : Sudański rząd uważa postawę rady za niesprawiedliwą i nieobiektywną ,_ ale mieszkańcy Darfuru powitali wieści z_ ONZ z_ zadowoleniem ._
Tokens: 1_______ 2___ 3____ 4______ 5___ 6_ 7______________ 8 9____________ 10 11_ 12________ 13_____ 14______ 15____ 16 17_ 18 19__________ 20

Chunks:
  TruePositive nam [13,13] = Darfuru (confidence=1.00)
  TruePositive nam [17,17] = ONZ (confidence=1.00)

(ChunkerEvaluator) Sentence #977 from 00107243 from sent11

Text  : Według szacunków ONZ od rozpoczęcia trwającego już dwa lata konfliktu etnicznego w_ Darfurze zginęło co najmniej 180 tysięcy ludzi ,_ a_ ponad 2_ miliony musiało opuścić swoje domy ._
Tokens: 1_____ 2________ 3__ 4_ 5__________ 6_________ 7__ 8__ 9___ 10_______ 11________ 12 13______ 14_____ 15 16______ 17_ 18_____ 19___ 20 21 22___ 23 24_____ 25_____ 26_____ 27___ 28__ 29

Chunks:
  TruePositive nam [3,3] = ONZ (confidence=0.97)
  TruePositive nam [13,13] = Darfurze (confidence=0.97)

(ChunkerEvaluator) Sentence #978 from 00107243 from sent12

Text  : Odpowiedzialność za część tych wydarzeń ponosi arabskie ugrupowanie militarne Dżandżawid ._
Tokens: 1_______________ 2_ 3____ 4___ 5_______ 6_____ 7_______ 8__________ 9________ 10________ 11

Chunks:
  TruePositive nam [10,10] = Dżandżawid (confidence=0.90)

(ChunkerEvaluator) Sentence #979 from 00107243 from sent13

Text  : Rząd Sudanu nie przyznaje się do wspierania tej grupy ._
Tokens: 1___ 2_____ 3__ 4________ 5__ 6_ 7_________ 8__ 9____ 10

Chunks:
  TruePositive nam [2,2] = Sudanu (confidence=1.00)

(ChunkerEvaluator) Sentence #980 from 00107243 from sent14

Text  : Obrońcy praw człowieka oskarżają natomiast sudańskie władze o utrudnianie pomocy humanitarnej dla ofiar konfliktu ._
Tokens: 1______ 2___ 3________ 4________ 5________ 6________ 7_____ 8 9__________ 10____ 11__________ 12_ 13___ 14_______ 15

Chunks:

(ChunkerEvaluator) Sentence #981 from 00107243 from sent15

Text  : Źródło
Tokens: 1_____

Chunks:

(ChunkerEvaluator) Sentence #982 from 00107243 from sent16

Text  : UN sets Darfur trials in motion , http://news.bbc.co.uk/2/hi/africa/4411497.stm BBC News ,_ 5_ kwietnia 2005
Tokens: 1_ 2___ 3_____ 4_____ 5_ 6_____ 7 8____________________________________________ 9__ 10__ 11 12 13______ 14__

Chunks:
  TruePositive nam [3,3] = Darfur (confidence=0.76)
  TruePositive nam [9,10] = BBC News (confidence=1.00)
  FalseNegative nam [1,1] = UN
  FalseNegative nam [8,8] = http://news.bbc.co.uk/2/hi/africa/4411497.stm

2017-06-14 20:13:36,314 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 68 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107293.xml
(ChunkerEvaluator) Sentence #983 from 00107293 from sent1

Text  : 2007-09-14 : Jarosław Kret poprowadzi „ Przebojową noc ” w_ TVP 1_
Tokens: 1_________ 2 3_______ 4___ 5_________ 6 7_________ 8__ 9 10 11_ 12

Chunks:
  TruePositive nam [3,4] = Jarosław Kret (confidence=1.00)
  TruePositive nam [7,8] = Przebojową noc (confidence=0.98)
  TruePositive nam [11,12] = TVP 1 (confidence=1.00)

(ChunkerEvaluator) Sentence #984 from 00107293 from sent2

Text  : Nowym prowadzącym show " Przebojowa noc " został Jarosław Kret ._
Tokens: 1____ 2__________ 3___ 4 5_________ 6__ 7 8_____ 9_______ 10__ 11

Chunks:
  TruePositive nam [5,6] = Przebojowa noc (confidence=0.99)
  TruePositive nam [9,10] = Jarosław Kret (confidence=1.00)

(ChunkerEvaluator) Sentence #985 from 00107293 from sent3

Text  : Pierwszy program z jego udziałem ma zostać wyemitowany w sobotę o_ godzinie 22 :_ 00 ._
Tokens: 1_______ 2______ 3 4___ 5_______ 6_ 7_____ 8__________ 9 10____ 11 12______ 13 14 15 16

Chunks:

(ChunkerEvaluator) Sentence #986 from 00107293 from sent4

Text  : TVP 1 zmieniając prowadzącego pokierowała się zbyt niską oglądalnością pierwszego odcinka show ,_ który prowadził Janusz Józefowicz ._
Tokens: 1__ 2 3_________ 4___________ 5__________ 6__ 7___ 8____ 9____________ 10________ 11_____ 12__ 13 14___ 15_______ 16____ 17________ 18

Chunks:
  TruePositive nam [1,2] = TVP 1 (confidence=1.00)
  TruePositive nam [16,17] = Janusz Józefowicz (confidence=1.00)

(ChunkerEvaluator) Sentence #987 from 00107293 from sent5

Text  : Zmianie ma ulec również scenariusz programu .
Tokens: 1______ 2_ 3___ 4______ 5_________ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #988 from 00107293 from sent6

Text  : Serwis Onet.pl dowiedział się , że Tomasz Kammel , któremu przed Jarosławem Kretem złożono propozycję poprowadzenia programu ,_ może ponieść konsekwencje swojej odmowy ._
Tokens: 1_____ 2______ 3_________ 4__ 5 6_ 7_____ 8_____ 9 10_____ 11___ 12________ 13____ 14_____ 15________ 16___________ 17______ 18 19__ 20_____ 21__________ 22____ 23____ 24

Chunks:
  TruePositive nam [2,2] = Onet.pl (confidence=0.96)
  TruePositive nam [7,8] = Tomasz Kammel (confidence=1.00)
  TruePositive nam [12,13] = Jarosławem Kretem (confidence=1.00)

(ChunkerEvaluator) Sentence #989 from 00107293 from sent7

Text  : Małgorzata Raczyńska stwierdziła , że naruszył on warunki kontraktu z_ Telewizją Polską ponieważ wziął udział w_ emitowanym w_ TVN ”_ Tańcu z_ gwiazdami ”_ ,_ bez zgody TVP ._
Tokens: 1_________ 2________ 3__________ 4 5_ 6_______ 7_ 8______ 9________ 10 11_______ 12____ 13______ 14___ 15____ 16 17________ 18 19_ 20 21___ 22 23_______ 24 25 26_ 27___ 28_ 29

Chunks:
  TruePositive nam [1,2] = Małgorzata Raczyńska (confidence=1.00)
  TruePositive nam [11,12] = Telewizją Polską (confidence=0.99)
  TruePositive nam [19,19] = TVN (confidence=1.00)
  TruePositive nam [21,23] = Tańcu z gwiazdami (confidence=0.92)
  TruePositive nam [28,28] = TVP (confidence=1.00)

(ChunkerEvaluator) Sentence #990 from 00107293 from sent8

Text  : Zobacz też
Tokens: 1_____ 2__

Chunks:

(ChunkerEvaluator) Sentence #991 from 00107293 from sent9

Text  : Czy Kammel poprowadzi „ Przebojową noc ” w TVP 1_ ?_ ,_ 13 września 2007
Tokens: 1__ 2_____ 3_________ 4 5_________ 6__ 7 8 9__ 10 11 12 13 14______ 15__

Chunks:
  TruePositive nam [2,2] = Kammel (confidence=0.99)
  TruePositive nam [5,6] = Przebojową noc (confidence=0.99)
  TruePositive nam [9,10] = TVP 1 (confidence=1.00)

(ChunkerEvaluator) Sentence #992 from 00107293 from sent10

Text  : TVP bez Tomasza Kammela , 14 września 2007
Tokens: 1__ 2__ 3______ 4______ 5 6_ 7_______ 8___

Chunks:
  TruePositive nam [1,1] = TVP (confidence=0.98)
  TruePositive nam [3,4] = Tomasza Kammela (confidence=0.96)

2017-06-14 20:13:36,352 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 69 from 69: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107300.xml
(ChunkerEvaluator) Sentence #993 from 00107300 from sent1

Text  : 2007-11-29 : Polska pozwana przez KE za brak numeru 112
Tokens: 1_________ 2 3_____ 4______ 5____ 6_ 7_ 8___ 9_____ 10_

Chunks:
  TruePositive nam [6,6] = KE (confidence=1.00)
  FalseNegative nam [3,3] = Polska

(ChunkerEvaluator) Sentence #994 from 00107300 from sent2

Text  : Komisja Europejska zdecydowała się na pozwanie Polski przed unijny Trybunał Sprawiedliwości za wadliwie działający numer alarmowy 112 ._
Tokens: 1______ 2_________ 3__________ 4__ 5_ 6_______ 7_____ 8____ 9_____ 10______ 11_____________ 12 13______ 14________ 15___ 16______ 17_ 18

Chunks:
  TruePositive nam [1,2] = Komisja Europejska (confidence=0.80)
  TruePositive nam [7,7] = Polski (confidence=1.00)
  TruePositive nam [10,11] = Trybunał Sprawiedliwości (confidence=0.91)

(ChunkerEvaluator) Sentence #995 from 00107300 from sent3

Text  : Komisja Europejska skierował sprawę do unijnego trybunału ponieważ polskie władze do tej pory nie zagwarantowały sprawnie funkcjonującego numeru alarmowego 112 pod którym można wezwać wszystkie służby ratunkowe –_ policję pogotowie czy straż pożarną ._
Tokens: 1______ 2_________ 3________ 4_____ 5_ 6_______ 7________ 8_______ 9______ 10____ 11 12_ 13__ 14_ 15____________ 16______ 17_____________ 18____ 19________ 20_ 21_ 22____ 23___ 24____ 25_______ 26____ 27_______ 28 29_____ 30_______ 31_ 32___ 33_____ 34

Chunks:
  TruePositive nam [1,2] = Komisja Europejska (confidence=0.79)

(ChunkerEvaluator) Sentence #996 from 00107300 from sent4

Text  : Na Polskę może zostać nałożona kara finansowa .
Tokens: 1_ 2_____ 3___ 4_____ 5_______ 6___ 7________ 8

Chunks:
  TruePositive nam [2,2] = Polskę (confidence=0.94)

(ChunkerEvaluator) Sentence #997 from 00107300 from sent5

Text  : KE wydała oświadczenie , w którym napisała , że w_ Polsce i_ na Łotwie "_ informacje o_ miejscu przebywania osoby dzwoniącej na numer alarmowy 112 z_ telefonów komórkowych nadal nie są udostępniane służbom ratowniczym "_ ._
Tokens: 1_ 2_____ 3___________ 4 5 6_____ 7_______ 8 9_ 10 11____ 12 13 14____ 15 16________ 17 18_____ 19_________ 20___ 21________ 22 23___ 24______ 25_ 26 27_______ 28_________ 29___ 30_ 31 32__________ 33_____ 34_________ 35 36

Chunks:
  TruePositive nam [1,1] = KE (confidence=0.59)
  TruePositive nam [11,11] = Polsce (confidence=1.00)
  TruePositive nam [14,14] = Łotwie (confidence=0.96)

(ChunkerEvaluator) Sentence #998 from 00107300 from sent6

Text  : Podkreśliła ona , że w obu wymienionych krajach trwają prace ,_ "_ ale wdrażanie potrzebnych do tego systemów wciąż nie jest zakończone "_ ._
Tokens: 1__________ 2__ 3 4_ 5 6__ 7___________ 8______ 9_____ 10___ 11 12 13_ 14_______ 15_________ 16 17__ 18______ 19___ 20_ 21__ 22________ 23 24

Chunks:

(ChunkerEvaluator) Sentence #999 from 00107300 from sent7

Text  : " Obywatele europejscy podróżujący do innych krajów Unii , zarówno w_ celach turystycznych ,_ jak i_ służbowych ,_ muszą mieć pewność ,_ że po wybraniu numeru alarmowego zostaną zlokalizowani przez służby ratunkowe "_ -_ stwierdziła Viviane Reding ,_ unijna komisarz ds ._ społeczeństwa informacyjnego i_ mediów ._
Tokens: 1 2________ 3_________ 4__________ 5_ 6_____ 7_____ 8___ 9 10_____ 11 12____ 13___________ 14 15_ 16 17________ 18 19___ 20__ 21_____ 22 23 24 25______ 26____ 27________ 28_____ 29___________ 30___ 31____ 32_______ 33 34 35_________ 36_____ 37____ 38 39____ 40______ 41 42 43___________ 44____________ 45 46____ 47

Chunks:
  TruePositive nam [36,37] = Viviane Reding (confidence=1.00)
  FalsePositive nam [8,8] = Unii (confidence=0.94) (incorrect boundry)

(ChunkerEvaluator) Sentence #1000 from 00107300 from sent8

Text  : " Przewidziane jest możliwie jak najszybsze podjęcie decyzji o implementacji rozwiązania tymczasowego w_ zakresie lokalizacji osoby dzwoniącej na numer alarmowy 112 ,_ a_ także budowa docelowego ,_ nowoczesnego zintegrowanego systemu powiadamiania ratunkowego za pomocą numeru alarmowego 112 ._
Tokens: 1 2___________ 3___ 4_______ 5__ 6_________ 7_______ 8______ 9 10___________ 11_________ 12__________ 13 14______ 15_________ 16___ 17________ 18 19___ 20______ 21_ 22 23 24___ 25____ 26________ 27 28__________ 29____________ 30_____ 31___________ 32_________ 33 34____ 35____ 36________ 37_ 38

Chunks:

(ChunkerEvaluator) Sentence #1001 from 00107300 from sent9

Text  : Przygotowany w najbliższych dniach plan sprawnej realizacji projektu ma za zadanie przekonanie Komisji do jak najszybszego wycofania skargi w_ świetle argumentów o_ wygaśnięciu przesłanek interwencji KE "_ -_ podało MSWiA ._
Tokens: 1___________ 2 3___________ 4_____ 5___ 6_______ 7_________ 8_______ 9_ 10 11_____ 12_________ 13_____ 14 15_ 16__________ 17_______ 18____ 19 20_____ 21________ 22 23_________ 24________ 25_________ 26 27 28 29____ 30___ 31

Chunks:
  TruePositive nam [26,26] = KE (confidence=0.80)
  TruePositive nam [30,30] = MSWiA (confidence=0.87)

======================================================================================
# Exact match evaluation -- annotation span and types evaluation
======================================================================================
        Annotation                     &      TP &      FP &      FN & Precision & Recall  & F$_1$   \\
\hline
        nam                            &     821 &     123 &     151 &    86.97% &  84.47% &  85.70% \\
\hline
        *TOTAL*                        &     821 &     123 &     151 &    86.97% &  84.47% &  85.70% \\


======================================================================================
# Annotation span evaluation (annotation types are ignored)
======================================================================================
        Annotation                     &      TP &      FP &      FN & Precision & Recall  & F$_1$   \\
\hline
        *TOTAL*                        &     821 &     123 &     151 &    86.97% &  84.47% &  85.70% \\


======================================================================================
# MUC match evaluation
======================================================================================
        Annotation                     &     COR &     ACT &     POS & Precision & Recall  & F$_1$   \\
\hline
        nam                            &    1724 &     164 &     210 &    91.31% &  89.14% &  90.21% \\
\hline
        *TOTAL*                        &    1724 &     164 &     210 &    91.31% &  89.14% &  90.21% \\


====================================================
Processing time
====================================================
1) Model loading        : --h 03m 07s (187137425133ns) 
2) Data reading         : --h --m 00s (190643384ns) 
3) Feature generation   : --h --m 00s (914279018ns) 
4) Chunking             : --h --m 02s (2154002850ns) 
5) Evaluation           : --h --m 01s (1740205340ns) (not in total time)
----------------------------------------------------
## Total time             --h 03m 10s (190396350385ns)
----------------------------------------------------
Tokens           :    17755
Text kB          :      109.25
Tokens  / second :       93.25
Text kB / second :        0.57
----------------------------------------------------
***************************************** FOLD 5 *****************************************
2017-06-14 20:13:36,422 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100527.xml
2017-06-14 20:13:36,429 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 2 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100531.xml
2017-06-14 20:13:36,436 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 3 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101201.xml
2017-06-14 20:13:36,440 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101234.xml
2017-06-14 20:13:36,464 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101263.xml
2017-06-14 20:13:36,490 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101276.xml
2017-06-14 20:13:36,492 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 7 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101294.xml
2017-06-14 20:13:36,509 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 8 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101306.xml
2017-06-14 20:13:36,531 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 9 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101317.xml
2017-06-14 20:13:36,533 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 10 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101350.xml
2017-06-14 20:13:36,540 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 11 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101392.xml
2017-06-14 20:13:36,563 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 12 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101395.xml
2017-06-14 20:13:36,574 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 13 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101398.xml
2017-06-14 20:13:36,577 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 14 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101399.xml
2017-06-14 20:13:36,583 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 15 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101414.xml
2017-06-14 20:13:36,590 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 16 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101434.xml
2017-06-14 20:13:36,601 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 17 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101457.xml
2017-06-14 20:13:36,605 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 18 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101467.xml
2017-06-14 20:13:36,608 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 19 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101480.xml
2017-06-14 20:13:36,612 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 20 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101496.xml
2017-06-14 20:13:36,625 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 21 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101498.xml
2017-06-14 20:13:36,627 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 22 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101514.xml
2017-06-14 20:13:36,653 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 23 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101560.xml
2017-06-14 20:13:36,678 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 24 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101597.xml
2017-06-14 20:13:36,698 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 25 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101607.xml
2017-06-14 20:13:36,724 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 26 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101612.xml
2017-06-14 20:13:36,752 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 27 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101615.xml
2017-06-14 20:13:36,782 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 28 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101741.xml
2017-06-14 20:13:36,808 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 29 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101770.xml
2017-06-14 20:13:36,833 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 30 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101852.xml
2017-06-14 20:13:36,845 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 31 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101868.xml
2017-06-14 20:13:36,847 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 32 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101949.xml
2017-06-14 20:13:36,861 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 33 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102054.xml
2017-06-14 20:13:36,871 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 34 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102109.xml
2017-06-14 20:13:36,880 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 35 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102141.xml
2017-06-14 20:13:36,906 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 36 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102166.xml
2017-06-14 20:13:36,918 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 37 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102354.xml
2017-06-14 20:13:36,942 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 38 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102438.xml
2017-06-14 20:13:36,946 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 39 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102509.xml
2017-06-14 20:13:36,950 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 40 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102512.xml
2017-06-14 20:13:36,961 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 41 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102602.xml
2017-06-14 20:13:36,982 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 42 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102677.xml
2017-06-14 20:13:36,995 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 43 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102685.xml
2017-06-14 20:13:36,997 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 44 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102689.xml
2017-06-14 20:13:37,015 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 45 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102702.xml
2017-06-14 20:13:37,026 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 46 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102707.xml
2017-06-14 20:13:37,047 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 47 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102715.xml
2017-06-14 20:13:37,052 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 48 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103567.xml
2017-06-14 20:13:37,084 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 49 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103570.xml
2017-06-14 20:13:37,125 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 50 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103581.xml
2017-06-14 20:13:37,149 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 51 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103594.xml
2017-06-14 20:13:37,158 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 52 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103746.xml
2017-06-14 20:13:37,160 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 53 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103872.xml
2017-06-14 20:13:37,172 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 54 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103875.xml
2017-06-14 20:13:37,186 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 55 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103895.xml
2017-06-14 20:13:37,194 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 56 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103900.xml
2017-06-14 20:13:37,217 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 57 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103915.xml
2017-06-14 20:13:37,224 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 58 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103937.xml
2017-06-14 20:13:37,243 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 59 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103938.xml
2017-06-14 20:13:37,263 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 60 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103945.xml
2017-06-14 20:13:37,284 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 61 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103956.xml
2017-06-14 20:13:37,303 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 62 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107245.xml
2017-06-14 20:13:37,311 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 63 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107269.xml
2017-06-14 20:13:37,319 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 64 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107306.xml
2017-06-14 20:13:37,328 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 65 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107313.xml
2017-06-14 20:13:37,341 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 66 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107320.xml
2017-06-14 20:13:37,349 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 67 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107321.xml
2017-06-14 20:13:37,358 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 68 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107329.xml
2017-06-14 20:13:37,369 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 69 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107334.xml
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2017-06-14 20:13:42,374 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 395 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107322.xml
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2017-06-14 20:13:42,394 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 397 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107350.xml
2017-06-14 20:13:42,406 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 398 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107356.xml
2017-06-14 20:13:42,416 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 399 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100523.xml
2017-06-14 20:13:42,434 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 400 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100623.xml
2017-06-14 20:13:42,444 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 401 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100624.xml
2017-06-14 20:13:42,469 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 402 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101203.xml
2017-06-14 20:13:42,479 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 403 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101207.xml
2017-06-14 20:13:42,484 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 404 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101214.xml
2017-06-14 20:13:42,502 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 405 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101261.xml
2017-06-14 20:13:42,515 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 406 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101285.xml
2017-06-14 20:13:42,543 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 407 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101293.xml
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2017-06-14 20:13:42,553 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 409 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101344.xml
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2017-06-14 20:13:42,580 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 411 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101388.xml
2017-06-14 20:13:42,582 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 412 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101464.xml
2017-06-14 20:13:42,595 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 413 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101469.xml
2017-06-14 20:13:42,615 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 414 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101470.xml
2017-06-14 20:13:42,617 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 415 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101474.xml
2017-06-14 20:13:42,618 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 416 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101481.xml
2017-06-14 20:13:42,620 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 417 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101507.xml
2017-06-14 20:13:42,634 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 418 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101531.xml
2017-06-14 20:13:42,663 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 419 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101535.xml
2017-06-14 20:13:42,709 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 420 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101564.xml
2017-06-14 20:13:42,737 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 421 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101582.xml
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2017-06-14 20:13:42,820 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 424 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101642.xml
2017-06-14 20:13:42,847 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 425 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101745.xml
2017-06-14 20:13:42,860 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 426 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101747.xml
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2017-06-14 20:13:42,956 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 431 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101788.xml
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2017-06-14 20:13:43,175 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 444 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102270.xml
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2017-06-14 20:13:43,668 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 480 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101332.xml
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2017-06-14 20:13:43,822 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 491 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101542.xml
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2017-06-14 20:13:43,861 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 493 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101592.xml
2017-06-14 20:13:43,898 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 494 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101661.xml
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2017-06-14 20:13:43,947 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 496 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101757.xml
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2017-06-14 20:13:44,019 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 500 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101909.xml
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2017-06-14 20:13:44,086 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 504 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102018.xml
2017-06-14 20:13:44,105 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 505 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102024.xml
2017-06-14 20:13:44,126 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 506 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102064.xml
2017-06-14 20:13:44,147 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 507 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102066.xml
2017-06-14 20:13:44,155 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 508 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102112.xml
2017-06-14 20:13:44,159 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 509 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102150.xml
2017-06-14 20:13:44,181 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 510 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102353.xml
2017-06-14 20:13:44,214 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 511 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102355.xml
2017-06-14 20:13:44,243 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 512 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102419.xml
2017-06-14 20:13:44,257 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 513 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102423.xml
2017-06-14 20:13:44,267 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 514 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102443.xml
2017-06-14 20:13:44,279 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 515 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102500.xml
2017-06-14 20:13:44,296 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 516 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102672.xml
2017-06-14 20:13:44,303 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 517 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102680.xml
2017-06-14 20:13:44,314 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 518 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102696.xml
2017-06-14 20:13:44,324 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 519 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102699.xml
2017-06-14 20:13:44,329 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 520 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103574.xml
2017-06-14 20:13:44,353 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 521 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103588.xml
2017-06-14 20:13:44,392 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 522 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103589.xml
2017-06-14 20:13:44,419 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 523 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103703.xml
2017-06-14 20:13:44,427 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 524 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103877.xml
2017-06-14 20:13:44,451 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 525 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103888.xml
2017-06-14 20:13:44,473 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 526 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103892.xml
2017-06-14 20:13:44,490 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 527 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103901.xml
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2017-06-14 20:13:44,615 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 534 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107296.xml
2017-06-14 20:13:44,632 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 535 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107303.xml
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2017-06-14 20:13:44,691 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 541 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100601.xml
2017-06-14 20:13:44,745 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 542 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100622.xml
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2017-06-14 20:13:45,020 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 566 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101616.xml
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2017-06-14 20:13:45,128 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 571 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101841.xml
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2017-06-14 20:13:45,252 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 579 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102036.xml
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2017-06-14 20:13:45,284 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 581 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102087.xml
2017-06-14 20:13:45,289 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 582 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102152.xml
2017-06-14 20:13:45,293 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 583 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102224.xml
2017-06-14 20:13:45,319 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 584 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102226.xml
2017-06-14 20:13:45,342 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 585 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102263.xml
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2017-06-14 20:13:45,380 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 587 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102412.xml
2017-06-14 20:13:45,388 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 588 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102449.xml
2017-06-14 20:13:45,398 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 589 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102485.xml
2017-06-14 20:13:45,400 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 590 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102693.xml
2017-06-14 20:13:45,419 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 591 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102710.xml
2017-06-14 20:13:45,425 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 592 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102711.xml
2017-06-14 20:13:45,431 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 593 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103580.xml
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2017-06-14 20:13:45,501 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 596 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103704.xml
2017-06-14 20:13:45,521 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 597 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103742.xml
2017-06-14 20:13:45,527 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 598 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103749.xml
2017-06-14 20:13:45,530 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 599 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103871.xml
2017-06-14 20:13:45,563 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 600 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103876.xml
2017-06-14 20:13:45,589 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 601 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103925.xml
2017-06-14 20:13:45,611 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 602 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107241.xml
2017-06-14 20:13:45,616 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 603 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107272.xml
2017-06-14 20:13:45,630 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 604 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107297.xml
2017-06-14 20:13:45,649 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 605 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107312.xml
2017-06-14 20:13:45,658 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 606 from 606: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107362.xml
2017-06-14 20:13:45,663 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100512.xml
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2017-06-14 20:13:45,686 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100636.xml
2017-06-14 20:13:45,712 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100639.xml
2017-06-14 20:13:45,736 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101172.xml
2017-06-14 20:13:45,748 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 7 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101260.xml
2017-06-14 20:13:45,759 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 8 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101297.xml
2017-06-14 20:13:45,765 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 9 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101311.xml
2017-06-14 20:13:45,771 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 10 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101318.xml
2017-06-14 20:13:45,785 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 11 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101319.xml
2017-06-14 20:13:45,806 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 12 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101324.xml
2017-06-14 20:13:45,809 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 13 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101375.xml
2017-06-14 20:13:45,814 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 14 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101391.xml
2017-06-14 20:13:45,821 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 15 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101422.xml
2017-06-14 20:13:45,833 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 16 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101437.xml
2017-06-14 20:13:45,841 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 17 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101453.xml
2017-06-14 20:13:45,843 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 18 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101485.xml
2017-06-14 20:13:45,855 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 19 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101513.xml
2017-06-14 20:13:45,880 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 20 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101540.xml
2017-06-14 20:13:45,902 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 21 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101548.xml
2017-06-14 20:13:45,905 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 22 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101584.xml
2017-06-14 20:13:45,933 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 23 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101594.xml
2017-06-14 20:13:45,963 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 24 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101605.xml
2017-06-14 20:13:45,985 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 25 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101641.xml
2017-06-14 20:13:46,015 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 26 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101698.xml
2017-06-14 20:13:46,022 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 27 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101712.xml
2017-06-14 20:13:46,040 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 28 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101773.xml
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2017-06-14 20:13:46,071 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 30 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101795.xml
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2017-06-14 20:13:46,123 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 34 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101819.xml
2017-06-14 20:13:46,140 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 35 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101820.xml
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2017-06-14 20:13:46,172 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 37 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101872.xml
2017-06-14 20:13:46,179 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 38 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101930.xml
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2017-06-14 20:13:46,316 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 47 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102358.xml
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-> Setting up chunker: chunker_c1
(TokenFeatureGenerator) Loading features...
[orth, base, ctag, synonym, hypernym-1, hypernym-2, hypernym-3, top4hyper-1, top4hyper-2, top4hyper-3, class, case, number, gender, pattern, prefix-1, prefix-2, prefix-3, prefix-4, suffix-1, suffix-2, suffix-3, suffix-4, all_alphanumeric, all_digits, all_letters, all_upper, has_upper_case, has_lower_case, has_symbol, has_digit, starts_with_upper_case, starts_with_lower_case, starts_with_symbol, starts_with_digit, is_number, no_alphanumeric, no_letters, struct, length, dict_person_first_nam, dict_person_last_nam, dict_country_nam, dict_city_nam, dict_road_nam, dict_person_prefix, dict_person_noun, dict_person_suffix, dict_road_prefix, dict_country_prefix, dict_trigger_int_bloc, dict_trigger_ext_bloc, dict_trigger_int_country, dict_trigger_ext_country, dict_trigger_int_district, dict_trigger_ext_district, dict_trigger_int_geogName, dict_trigger_ext_geogName, dict_trigger_int_orgName, dict_trigger_ext_orgName, dict_trigger_int_persName, dict_trigger_ext_persName, dict_trigger_int_region, dict_trigger_ext_region, dict_trigger_int_settlement, dict_trigger_ext_settlement, agr1, parenthesis, quotation, nospace]
--> CRFPP Chunker train
--> Training on file={CV_TRAIN}
(TemplateFactory) parsing template: /home/czuk/nlp/eclipse/workspace_liner2/liner2_master/../models-workdir/liner2.5/liner25_model_ner_kpwr12/ini/template-jrip.txt
(TemplateFactory) Adding feature:orth:-2:-1:0:1:2
(TemplateFactory) feature:orth:-2:-1:0:1:2
(TemplateFactory) Adding feature:base:-2:-1:0:1:2
(TemplateFactory) feature:base:-2:-1:0:1:2
(TemplateFactory) Adding feature:synonym:-2:-1:0:1:2
(TemplateFactory) feature:synonym:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-1:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-2:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-2:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-3:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:class:-1:0:1
(TemplateFactory) feature:class:-1:0:1
(TemplateFactory) Adding feature:case:0
(TemplateFactory) feature:case:0
(TemplateFactory) Adding feature:gender:-2:-1:0:1:2
(TemplateFactory) feature:gender:-2:-1:0:1:2
(TemplateFactory) Adding feature:pattern:0
(TemplateFactory) feature:pattern:0
(TemplateFactory) Adding feature:prefix-1:-2:-1:0:1:2
(TemplateFactory) feature:prefix-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:prefix-3:-2:-1:0:1:2
(TemplateFactory) feature:prefix-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:prefix-4:-2:-1:0:1:2
(TemplateFactory) feature:prefix-4:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-1:-2:-1:0:1:2
(TemplateFactory) feature:suffix-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-2:-2:-1:0:1:2
(TemplateFactory) feature:suffix-2:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-3:-2:-1:0:1:2
(TemplateFactory) feature:suffix-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-4:-2:-1:0:1:2
(TemplateFactory) feature:suffix-4:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_upper_case:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_upper_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_lower_case:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_lower_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_symbol:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_symbol:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_digit:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_digit:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_upper_case:-2:-1:0:1:2
(TemplateFactory) feature:has_upper_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_lower_case:-2:-1:0:1:2
(TemplateFactory) feature:has_lower_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_symbol:-2:-1:0:1:2
(TemplateFactory) feature:has_symbol:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_digit:-2:-1:0:1:2
(TemplateFactory) feature:has_digit:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_first_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_first_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_last_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_last_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_country_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_country_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_city_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_city_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_road_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_road_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_noun:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_noun:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_suffix:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_suffix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_road_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_road_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_country_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_country_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:base:-4/dict_person_first_nam:-3/dict_person_last_nam:-2/base:-1/dict_person_last_nam:0
(TemplateFactory) feature:base:-4/dict_person_first_nam:-3/dict_person_last_nam:-2/base:-1/dict_person_last_nam:0
(TemplateFactory) Adding feature:dict_trigger_int_bloc:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_bloc:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_bloc:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_bloc:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_country:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_country:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_country:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_country:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_district:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_district:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_district:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_district:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_geogName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_geogName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_geogName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_geogName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_orgName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_orgName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_orgName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_orgName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_persName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_persName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_persName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_persName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_region:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_region:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_region:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_region:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_settlement:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_settlement:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_settlement:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_settlement:-2:-1:0:1:2
(TemplateFactory) Adding feature:agr1:-2:-1:0:1:2
(TemplateFactory) feature:agr1:-2:-1:0:1:2
(TemplateFactory) Adding feature:nospace:-2:-1:0:1:2
(TemplateFactory) feature:nospace:-2:-1:0:1:2
(TemplateFactory) Adding feature:parenthesis:-2:-1:0:1:2
(TemplateFactory) feature:parenthesis:-2:-1:0:1:2
(TemplateFactory) Adding feature:quotation:-2:-1:0:1:2
(TemplateFactory) feature:quotation:-2:-1:0:1:2
(TemplateFactory) Adding feature:length:-2:-1:0:1:2
(TemplateFactory) feature:length:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_upper_case:0/agr1:-1/pattern:2/has_upper_case:-1/case:0/number:-1
(TemplateFactory) feature:has_upper_case:0/agr1:-1/pattern:2/has_upper_case:-1/case:0/number:-1
(TemplateFactory) Adding feature:has_upper_case:0/all_digits:-1/all_upper:-2/length:1/nospace:1
(TemplateFactory) feature:has_upper_case:0/all_digits:-1/all_upper:-2/length:1/nospace:1
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/ctag:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/ctag:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/has_upper_case:1
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/has_upper_case:1
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/agr1:1/pattern:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/agr1:1/pattern:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/class:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/class:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/starts_with_digit:-2/starts_with_lower_case:1/case:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/starts_with_digit:-2/starts_with_lower_case:1/case:0
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/has_upper_case:1
(TemplateFactory) feature:has_upper_case:0/ctag:0/has_upper_case:1
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/parenthesis:0/class:2/agr1:2
(TemplateFactory) feature:has_upper_case:0/ctag:0/parenthesis:0/class:2/agr1:2
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/suffix-1:0
(TemplateFactory) feature:has_upper_case:0/ctag:0/suffix-1:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/all_upper:-2/all_alphanumeric:2/starts_with_lower_case:2/all_alphanumeric:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/all_upper:-2/all_alphanumeric:2/starts_with_lower_case:2/all_alphanumeric:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_digit:-2/has_lower_case:0/nospace:-1/nospace:-2/ctag:-1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_digit:-2/has_lower_case:0/nospace:-1/nospace:-2/ctag:-1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-1/all_alphanumeric:2/class:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-1/all_alphanumeric:2/class:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/all_letters:-1/ctag:0/all_alphanumeric:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/all_letters:-1/ctag:0/all_alphanumeric:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/length:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/length:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/starts_with_lower_case:1/orth:-1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/starts_with_lower_case:1/orth:-1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/pattern:-1/class:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/pattern:-1/class:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/pattern:1/parenthesis:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/pattern:1/parenthesis:0
(TemplateFactory) Adding feature:has_upper_case:0/starts_with_lower_case:1/case:0/orth:2
(TemplateFactory) feature:has_upper_case:0/starts_with_lower_case:1/case:0/orth:2
(TemplateFactory) Adding feature:has_upper_case:0/starts_with_lower_case:1/case:0/pattern:1/agr1:1/gender:0
(TemplateFactory) feature:has_upper_case:0/starts_with_lower_case:1/case:0/pattern:1/agr1:1/gender:0
(TemplateFactory) Adding feature:has_upper_case:-1/has_upper_case:0/nospace:-2/pattern:0
(TemplateFactory) feature:has_upper_case:-1/has_upper_case:0/nospace:-2/pattern:0
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/all_letters:1/orth:0/starts_with_lower_case:-2
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/all_letters:1/orth:0/starts_with_lower_case:-2
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/orth:0/nospace:-1
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/orth:0/nospace:-1
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/parenthesis:-2/class:-2/orth:-1
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/parenthesis:-2/class:-2/orth:-1
(TemplateFactory) Adding feature:has_upper_case:-2/has_upper_case:0/orth:-1/nospace:-2
(TemplateFactory) feature:has_upper_case:-2/has_upper_case:0/orth:-1/nospace:-2
(TemplateFactory) Adding feature:has_upper_case:-2/starts_with_upper_case:0/orth:-1
(TemplateFactory) feature:has_upper_case:-2/starts_with_upper_case:0/orth:-1
(TemplateFactory) Adding feature:starts_with_lower_case:-1/has_upper_case:0/case:-1/case:2
(TemplateFactory) feature:starts_with_lower_case:-1/has_upper_case:0/case:-1/case:2
(TemplateFactory) Adding feature:starts_with_lower_case:-1/has_upper_case:0/pattern:-1/ctag:-1/pattern:0
(TemplateFactory) feature:starts_with_lower_case:-1/has_upper_case:0/pattern:-1/ctag:-1/pattern:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_lower_case:-1/all_letters:-1/parenthesis:-2/pattern:1/length:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_lower_case:-1/all_letters:-1/parenthesis:-2/pattern:1/length:0
(TemplateFactory) Adding feature:starts_with_lower_case:-1/starts_with_upper_case:0/class:-1/agr1:0/gender:-1
(TemplateFactory) feature:starts_with_lower_case:-1/starts_with_upper_case:0/class:-1/agr1:0/gender:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/class:-2/no_letters:0/length:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/class:-2/no_letters:0/length:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/agr1:-2/ctag:-2
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/agr1:-2/ctag:-2
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/case:-1/ctag:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/case:-1/ctag:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/ctag:-2/struct:-2
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/ctag:-2/struct:-2
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/quotation:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/quotation:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/pattern:0/length:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/pattern:0/length:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/starts_with_upper_case:0/length:-1/ctag:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/starts_with_upper_case:0/length:-1/ctag:-1
(TemplateFactory) Adding feature:starts_with_upper_case:0/agr1:-1/gender:0/number:0
(TemplateFactory) feature:starts_with_upper_case:0/agr1:-1/gender:0/number:0
(TemplateFactory) Adding feature:starts_with_upper_case:0/agr1:-1/orth:-1/class:-2
(TemplateFactory) feature:starts_with_upper_case:0/agr1:-1/orth:-1/class:-2
(TemplateFactory) Adding feature:starts_with_upper_case:0/class:0/gender:0/prefix-1:0/all_alphanumeric:1
(TemplateFactory) feature:starts_with_upper_case:0/class:0/gender:0/prefix-1:0/all_alphanumeric:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/class:0/starts_with_lower_case:1/struct:2/agr1:1
(TemplateFactory) feature:starts_with_upper_case:0/class:0/starts_with_lower_case:1/struct:2/agr1:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/ctag:0/parenthesis:0/class:1
(TemplateFactory) feature:starts_with_upper_case:0/ctag:0/parenthesis:0/class:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/dict_person_first_nam:-1/class:0/parenthesis:2/ctag:0
(TemplateFactory) feature:starts_with_upper_case:0/dict_person_first_nam:-1/class:0/parenthesis:2/ctag:0
(TemplateFactory) Adding feature:starts_with_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/has_digit:-2/gender:1
(TemplateFactory) feature:starts_with_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/has_digit:-2/gender:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/starts_with_lower_case:1/case:0/suffix-2:1
(TemplateFactory) feature:starts_with_upper_case:0/starts_with_lower_case:1/case:0/suffix-2:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/starts_with_lower_case:1/pattern:1/length:2/nospace:1/case:0/ctag:2
(TemplateFactory) feature:starts_with_upper_case:0/starts_with_lower_case:1/pattern:1/length:2/nospace:1/case:0/ctag:2
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_lower_case:1/all_digits:-2/has_upper_case:1/orth:0
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_lower_case:1/all_digits:-2/has_upper_case:1/orth:0
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_lower_case:1/starts_with_upper_case:0/nospace:2/gender:-1
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_lower_case:1/starts_with_upper_case:0/nospace:2/gender:-1
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/agr1:1/has_lower_case:2
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/agr1:1/has_lower_case:2
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/nospace:0
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/nospace:0
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/pattern:2/suffix-1:-1
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/pattern:2/suffix-1:-1
Loading training data for CRF from document:00100527
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Training CRF classifer using features:
orth[-2]
orth[-1]
orth[0]
orth[1]
orth[2]
base[-2]
base[-1]
base[0]
base[1]
base[2]
synonym[-2]
synonym[-1]
synonym[0]
synonym[1]
synonym[2]
hypernym-1[-2]
hypernym-1[-1]
hypernym-1[0]
hypernym-1[1]
hypernym-1[2]
hypernym-2[-2]
hypernym-2[-1]
hypernym-2[0]
hypernym-2[1]
hypernym-2[2]
hypernym-3[-2]
hypernym-3[-1]
hypernym-3[0]
hypernym-3[1]
hypernym-3[2]
class[-1]
class[0]
class[1]
case[0]
gender[-2]
gender[-1]
gender[0]
gender[1]
gender[2]
pattern[0]
prefix-1[-2]
prefix-1[-1]
prefix-1[0]
prefix-1[1]
prefix-1[2]
prefix-3[-2]
prefix-3[-1]
prefix-3[0]
prefix-3[1]
prefix-3[2]
prefix-4[-2]
prefix-4[-1]
prefix-4[0]
prefix-4[1]
prefix-4[2]
suffix-1[-2]
suffix-1[-1]
suffix-1[0]
suffix-1[1]
suffix-1[2]
suffix-2[-2]
suffix-2[-1]
suffix-2[0]
suffix-2[1]
suffix-2[2]
suffix-3[-2]
suffix-3[-1]
suffix-3[0]
suffix-3[1]
suffix-3[2]
suffix-4[-2]
suffix-4[-1]
suffix-4[0]
suffix-4[1]
suffix-4[2]
starts_with_upper_case[-2]
starts_with_upper_case[-1]
starts_with_upper_case[0]
starts_with_upper_case[1]
starts_with_upper_case[2]
starts_with_lower_case[-2]
starts_with_lower_case[-1]
starts_with_lower_case[0]
starts_with_lower_case[1]
starts_with_lower_case[2]
starts_with_symbol[-2]
starts_with_symbol[-1]
starts_with_symbol[0]
starts_with_symbol[1]
starts_with_symbol[2]
starts_with_digit[-2]
starts_with_digit[-1]
starts_with_digit[0]
starts_with_digit[1]
starts_with_digit[2]
has_upper_case[-2]
has_upper_case[-1]
has_upper_case[0]
has_upper_case[1]
has_upper_case[2]
has_lower_case[-2]
has_lower_case[-1]
has_lower_case[0]
has_lower_case[1]
has_lower_case[2]
has_symbol[-2]
has_symbol[-1]
has_symbol[0]
has_symbol[1]
has_symbol[2]
has_digit[-2]
has_digit[-1]
has_digit[0]
has_digit[1]
has_digit[2]
dict_person_first_nam[-2]
dict_person_first_nam[-1]
dict_person_first_nam[0]
dict_person_first_nam[1]
dict_person_first_nam[2]
dict_person_last_nam[-2]
dict_person_last_nam[-1]
dict_person_last_nam[0]
dict_person_last_nam[1]
dict_person_last_nam[2]
dict_country_nam[-2]
dict_country_nam[-1]
dict_country_nam[0]
dict_country_nam[1]
dict_country_nam[2]
dict_city_nam[-2]
dict_city_nam[-1]
dict_city_nam[0]
dict_city_nam[1]
dict_city_nam[2]
dict_road_nam[-2]
dict_road_nam[-1]
dict_road_nam[0]
dict_road_nam[1]
dict_road_nam[2]
dict_person_prefix[-2]
dict_person_prefix[-1]
dict_person_prefix[0]
dict_person_prefix[1]
dict_person_prefix[2]
dict_person_noun[-2]
dict_person_noun[-1]
dict_person_noun[0]
dict_person_noun[1]
dict_person_noun[2]
dict_person_suffix[-2]
dict_person_suffix[-1]
dict_person_suffix[0]
dict_person_suffix[1]
dict_person_suffix[2]
dict_road_prefix[-2]
dict_road_prefix[-1]
dict_road_prefix[0]
dict_road_prefix[1]
dict_road_prefix[2]
dict_country_prefix[-2]
dict_country_prefix[-1]
dict_country_prefix[0]
dict_country_prefix[1]
dict_country_prefix[2]
base[-4]_dict_person_first_nam[-3]_dict_person_last_nam[-2]_base[-1]_dict_person_last_nam[0]
dict_trigger_int_bloc[-2]
dict_trigger_int_bloc[-1]
dict_trigger_int_bloc[0]
dict_trigger_int_bloc[1]
dict_trigger_int_bloc[2]
dict_trigger_ext_bloc[-2]
dict_trigger_ext_bloc[-1]
dict_trigger_ext_bloc[0]
dict_trigger_ext_bloc[1]
dict_trigger_ext_bloc[2]
dict_trigger_int_country[-2]
dict_trigger_int_country[-1]
dict_trigger_int_country[0]
dict_trigger_int_country[1]
dict_trigger_int_country[2]
dict_trigger_ext_country[-2]
dict_trigger_ext_country[-1]
dict_trigger_ext_country[0]
dict_trigger_ext_country[1]
dict_trigger_ext_country[2]
dict_trigger_int_district[-2]
dict_trigger_int_district[-1]
dict_trigger_int_district[0]
dict_trigger_int_district[1]
dict_trigger_int_district[2]
dict_trigger_ext_district[-2]
dict_trigger_ext_district[-1]
dict_trigger_ext_district[0]
dict_trigger_ext_district[1]
dict_trigger_ext_district[2]
dict_trigger_int_geogName[-2]
dict_trigger_int_geogName[-1]
dict_trigger_int_geogName[0]
dict_trigger_int_geogName[1]
dict_trigger_int_geogName[2]
dict_trigger_ext_geogName[-2]
dict_trigger_ext_geogName[-1]
dict_trigger_ext_geogName[0]
dict_trigger_ext_geogName[1]
dict_trigger_ext_geogName[2]
dict_trigger_int_orgName[-2]
dict_trigger_int_orgName[-1]
dict_trigger_int_orgName[0]
dict_trigger_int_orgName[1]
dict_trigger_int_orgName[2]
dict_trigger_ext_orgName[-2]
dict_trigger_ext_orgName[-1]
dict_trigger_ext_orgName[0]
dict_trigger_ext_orgName[1]
dict_trigger_ext_orgName[2]
dict_trigger_int_persName[-2]
dict_trigger_int_persName[-1]
dict_trigger_int_persName[0]
dict_trigger_int_persName[1]
dict_trigger_int_persName[2]
dict_trigger_ext_persName[-2]
dict_trigger_ext_persName[-1]
dict_trigger_ext_persName[0]
dict_trigger_ext_persName[1]
dict_trigger_ext_persName[2]
dict_trigger_int_region[-2]
dict_trigger_int_region[-1]
dict_trigger_int_region[0]
dict_trigger_int_region[1]
dict_trigger_int_region[2]
dict_trigger_ext_region[-2]
dict_trigger_ext_region[-1]
dict_trigger_ext_region[0]
dict_trigger_ext_region[1]
dict_trigger_ext_region[2]
dict_trigger_int_settlement[-2]
dict_trigger_int_settlement[-1]
dict_trigger_int_settlement[0]
dict_trigger_int_settlement[1]
dict_trigger_int_settlement[2]
dict_trigger_ext_settlement[-2]
dict_trigger_ext_settlement[-1]
dict_trigger_ext_settlement[0]
dict_trigger_ext_settlement[1]
dict_trigger_ext_settlement[2]
agr1[-2]
agr1[-1]
agr1[0]
agr1[1]
agr1[2]
nospace[-2]
nospace[-1]
nospace[0]
nospace[1]
nospace[2]
parenthesis[-2]
parenthesis[-1]
parenthesis[0]
parenthesis[1]
parenthesis[2]
quotation[-2]
quotation[-1]
quotation[0]
quotation[1]
quotation[2]
length[-2]
length[-1]
length[0]
length[1]
length[2]
has_upper_case[0]_agr1[-1]_pattern[2]_has_upper_case[-1]_case[0]_number[-1]
has_upper_case[0]_all_digits[-1]_all_upper[-2]_length[1]_nospace[1]
has_upper_case[0]_all_upper[-1]_pattern[-1]_ctag[0]
has_upper_case[0]_all_upper[-1]_pattern[-1]_has_upper_case[1]
has_upper_case[0]_all_upper[-1]_pattern[-1]_pattern[-2]_agr1[1]_pattern[0]
has_upper_case[0]_all_upper[-1]_pattern[-1]_pattern[-2]_class[0]
has_upper_case[0]_all_upper[-1]_starts_with_digit[-2]_starts_with_lower_case[1]_case[0]
has_upper_case[0]_ctag[0]_has_upper_case[1]
has_upper_case[0]_ctag[0]_parenthesis[0]_class[2]_agr1[2]
has_upper_case[0]_ctag[0]_suffix-1[0]
has_upper_case[0]_dict_person_first_nam[-1]_all_upper[-2]_all_alphanumeric[2]_starts_with_lower_case[2]_all_alphanumeric[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_digit[-2]_has_lower_case[0]_nospace[-1]_nospace[-2]_ctag[-1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-1]_all_alphanumeric[2]_class[0]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[2]_all_letters[-1]_ctag[0]_all_alphanumeric[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-2]_length[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-2]_starts_with_lower_case[1]_orth[-1]
has_upper_case[0]_dict_person_first_nam[-1]_pattern[-1]_class[0]
has_upper_case[0]_dict_person_first_nam[-1]_pattern[1]_parenthesis[0]
has_upper_case[0]_starts_with_lower_case[1]_case[0]_orth[2]
has_upper_case[0]_starts_with_lower_case[1]_case[0]_pattern[1]_agr1[1]_gender[0]
has_upper_case[-1]_has_upper_case[0]_nospace[-2]_pattern[0]
has_upper_case[-1]_starts_with_lower_case[1]_all_letters[1]_orth[0]_starts_with_lower_case[-2]
has_upper_case[-1]_starts_with_lower_case[1]_orth[0]_nospace[-1]
has_upper_case[-1]_starts_with_lower_case[1]_parenthesis[-2]_class[-2]_orth[-1]
has_upper_case[-2]_has_upper_case[0]_orth[-1]_nospace[-2]
has_upper_case[-2]_starts_with_upper_case[0]_orth[-1]
starts_with_lower_case[-1]_has_upper_case[0]_case[-1]_case[2]
starts_with_lower_case[-1]_has_upper_case[0]_pattern[-1]_ctag[-1]_pattern[0]
starts_with_lower_case[1]_starts_with_lower_case[-1]_all_letters[-1]_parenthesis[-2]_pattern[1]_length[0]
starts_with_lower_case[-1]_starts_with_upper_case[0]_class[-1]_agr1[0]_gender[-1]
starts_with_lower_case[1]_starts_with_upper_case[-1]_class[-2]_no_letters[0]_length[0]
starts_with_lower_case[1]_starts_with_upper_case[-1]_parenthesis[-2]_agr1[-2]_ctag[-2]
starts_with_lower_case[1]_starts_with_upper_case[-1]_parenthesis[-2]_case[-1]_ctag[0]
starts_with_lower_case[1]_starts_with_upper_case[-2]_agr1[-2]_ctag[-2]_struct[-2]
starts_with_lower_case[1]_starts_with_upper_case[-2]_agr1[-2]_quotation[-1]
starts_with_lower_case[1]_starts_with_upper_case[-2]_pattern[0]_length[-1]
starts_with_lower_case[1]_starts_with_upper_case[-2]_starts_with_upper_case[0]_length[-1]_ctag[-1]
starts_with_upper_case[0]_agr1[-1]_gender[0]_number[0]
starts_with_upper_case[0]_agr1[-1]_orth[-1]_class[-2]
starts_with_upper_case[0]_class[0]_gender[0]_prefix-1[0]_all_alphanumeric[1]
starts_with_upper_case[0]_class[0]_starts_with_lower_case[1]_struct[2]_agr1[1]
starts_with_upper_case[0]_ctag[0]_parenthesis[0]_class[1]
starts_with_upper_case[0]_dict_person_first_nam[-1]_class[0]_parenthesis[2]_ctag[0]
starts_with_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[2]_has_digit[-2]_gender[1]
starts_with_upper_case[0]_starts_with_lower_case[1]_case[0]_suffix-2[1]
starts_with_upper_case[0]_starts_with_lower_case[1]_pattern[1]_length[2]_nospace[1]_case[0]_ctag[2]
starts_with_upper_case[-1]_starts_with_lower_case[1]_all_digits[-2]_has_upper_case[1]_orth[0]
starts_with_upper_case[-1]_starts_with_lower_case[1]_starts_with_upper_case[0]_nospace[2]_gender[-1]
starts_with_upper_case[-1]_starts_with_upper_case[0]_all_upper[-2]_agr1[1]_has_lower_case[2]
starts_with_upper_case[-1]_starts_with_upper_case[0]_all_upper[-2]_nospace[0]
starts_with_upper_case[-1]_starts_with_upper_case[0]_pattern[2]_suffix-1[-1]

CRF++: Yet Another CRF Tool Kit
Copyright (C) 2005-2012 Taku Kudo, All rights reserved.

reading training data: 100.. 200.. 300.. 400.. 500.. 600.. 700.. 800.. 900.. 1000.. 1100.. 1200.. 1300.. 1400.. 1500.. 1600.. 1700.. 1800.. 1900.. 2000.. 2100.. 2200.. 2300.. 2400.. 2500.. 2600.. 2700.. 2800.. 2900.. 3000.. 3100.. 3200.. 3300.. 3400.. 3500.. 3600.. 3700.. 3800.. 3900.. 4000.. 4100.. 4200.. 4300.. 4400.. 4500.. 4600.. 4700.. 4800.. 4900.. 5000.. 5100.. 5200.. 5300.. 5400.. 5500.. 5600.. 5700.. 5800.. 5900.. 6000.. 6100.. 6200.. 6300.. 6400.. 6500.. 6600.. 6700.. 6800.. 6900.. 7000.. 7100.. 7200.. 7300.. 7400.. 7500.. 7600.. 7700.. 7800.. 7900.. 8000.. 8100.. 8200.. 8300.. 8400.. 8500.. 8600.. 8700.. 8800.. 8900.. 9000.. 9100.. 9200.. 9300.. 9400.. 9500.. 
Done!37.29 s

Number of sentences: 9517
Number of features:  924324
Number of thread(s): 7
Freq:                5
eta:                 0.00010
C:                   1.00000
shrinking size:      20
iter=0 terr=0.94617 serr=0.99748 act=924324 obj=170470.57022 diff=1.00000
iter=1 terr=0.09393 serr=0.45109 act=924324 obj=209832.70963 diff=0.23090
iter=2 terr=0.09393 serr=0.45109 act=924324 obj=73834.55063 diff=0.64813
iter=3 terr=0.09393 serr=0.45109 act=924324 obj=66444.94569 diff=0.10008
iter=4 terr=0.86550 serr=0.96942 act=924324 obj=201579.96855 diff=2.03379
iter=5 terr=0.09393 serr=0.45109 act=924324 obj=54830.64477 diff=0.72800
iter=6 terr=0.09393 serr=0.45109 act=924324 obj=53752.30759 diff=0.01967
iter=7 terr=0.09393 serr=0.45109 act=924324 obj=51505.92032 diff=0.04179
iter=8 terr=0.09393 serr=0.45109 act=924324 obj=48924.34465 diff=0.05012
iter=9 terr=0.08149 serr=0.42051 act=924324 obj=39623.30832 diff=0.19011
iter=10 terr=0.05772 serr=0.37470 act=924324 obj=31618.32841 diff=0.20203
iter=11 terr=0.04276 serr=0.31533 act=924324 obj=26061.49237 diff=0.17575
iter=12 terr=0.03974 serr=0.27645 act=924324 obj=22751.12130 diff=0.12702
iter=13 terr=0.03860 serr=0.27456 act=924324 obj=21850.25064 diff=0.03960
iter=14 terr=0.03825 serr=0.27130 act=924324 obj=20989.82064 diff=0.03938
iter=15 terr=0.03811 serr=0.26531 act=924324 obj=20213.97749 diff=0.03696
iter=16 terr=0.03726 serr=0.25418 act=924324 obj=19344.25981 diff=0.04303
iter=17 terr=0.03695 serr=0.25271 act=924324 obj=18560.95321 diff=0.04049
iter=18 terr=0.03618 serr=0.24703 act=924324 obj=17828.49949 diff=0.03946
iter=19 terr=0.03541 serr=0.24272 act=924324 obj=16962.98973 diff=0.04855
iter=20 terr=0.03492 serr=0.23453 act=924324 obj=16456.56137 diff=0.02985
iter=21 terr=0.03547 serr=0.23579 act=924324 obj=16017.91273 diff=0.02665
iter=22 terr=0.03517 serr=0.23789 act=924324 obj=15677.42702 diff=0.02126
iter=23 terr=0.03407 serr=0.23694 act=924324 obj=15270.36080 diff=0.02597
iter=24 terr=0.03345 serr=0.23631 act=924324 obj=14726.18885 diff=0.03564
iter=25 terr=0.03227 serr=0.23369 act=924324 obj=13397.38338 diff=0.09023
iter=26 terr=0.08661 serr=0.35347 act=924324 obj=23696.42659 diff=0.76874
iter=27 terr=0.03184 serr=0.23526 act=924324 obj=13157.85996 diff=0.44473
iter=28 terr=0.03139 serr=0.23053 act=924324 obj=12592.19770 diff=0.04299
iter=29 terr=0.03064 serr=0.22307 act=924324 obj=12255.50559 diff=0.02674
iter=30 terr=0.03021 serr=0.21551 act=924324 obj=12024.26577 diff=0.01887
iter=31 terr=0.02943 serr=0.21267 act=924324 obj=11675.47220 diff=0.02901
iter=32 terr=0.02888 serr=0.20910 act=924324 obj=11055.24491 diff=0.05312
iter=33 terr=0.03229 serr=0.22539 act=924324 obj=12016.43537 diff=0.08694
iter=34 terr=0.02820 serr=0.20920 act=924324 obj=10770.49243 diff=0.10369
iter=35 terr=0.02782 serr=0.20973 act=924324 obj=10317.12580 diff=0.04209
iter=36 terr=0.02741 serr=0.20752 act=924324 obj=10101.23465 diff=0.02093
iter=37 terr=0.02700 serr=0.20721 act=924324 obj=9966.75920 diff=0.01331
iter=38 terr=0.03218 serr=0.23484 act=924324 obj=10532.39455 diff=0.05675
iter=39 terr=0.02652 serr=0.19964 act=924324 obj=9387.12327 diff=0.10874
iter=40 terr=0.02574 serr=0.19533 act=924324 obj=9764.33005 diff=0.04018
iter=41 terr=0.02561 serr=0.19376 act=924324 obj=9185.41491 diff=0.05929
iter=42 terr=0.02533 serr=0.19260 act=924324 obj=9034.83399 diff=0.01639
iter=43 terr=0.02505 serr=0.19082 act=924324 obj=8814.08257 diff=0.02443
iter=44 terr=0.02394 serr=0.17779 act=924324 obj=8187.84414 diff=0.07105
iter=45 terr=0.02493 serr=0.18357 act=924324 obj=8109.99971 diff=0.00951
iter=46 terr=0.02291 serr=0.17043 act=924324 obj=7672.09521 diff=0.05400
iter=47 terr=0.02313 serr=0.16812 act=924324 obj=7602.02770 diff=0.00913
iter=48 terr=0.02317 serr=0.16917 act=924324 obj=7547.44913 diff=0.00718
iter=49 terr=0.02204 serr=0.16381 act=924324 obj=7402.80040 diff=0.01917
iter=50 terr=0.02225 serr=0.16802 act=924324 obj=7261.74265 diff=0.01905
iter=51 terr=0.01988 serr=0.15520 act=924324 obj=6927.51908 diff=0.04603
iter=52 terr=0.01990 serr=0.15383 act=924324 obj=6837.34518 diff=0.01302
iter=53 terr=0.01998 serr=0.15562 act=924324 obj=6709.54506 diff=0.01869
iter=54 terr=0.02002 serr=0.15330 act=924324 obj=6617.93338 diff=0.01365
iter=55 terr=0.02005 serr=0.15372 act=924324 obj=6513.19246 diff=0.01583
iter=56 terr=0.01961 serr=0.15110 act=924324 obj=6434.02894 diff=0.01215
iter=57 terr=0.01928 serr=0.14994 act=924324 obj=6364.86020 diff=0.01075
iter=58 terr=0.01914 serr=0.14973 act=924324 obj=6333.37645 diff=0.00495
iter=59 terr=0.01871 serr=0.14437 act=924324 obj=6096.67001 diff=0.03737
iter=60 terr=0.01803 serr=0.14133 act=924324 obj=6180.87156 diff=0.01381
iter=61 terr=0.01777 serr=0.14070 act=924324 obj=6048.75720 diff=0.02137
iter=62 terr=0.01770 serr=0.14059 act=924324 obj=5977.08235 diff=0.01185
iter=63 terr=0.01774 serr=0.14133 act=924324 obj=5909.64135 diff=0.01128
iter=64 terr=0.01757 serr=0.13975 act=924324 obj=5845.62029 diff=0.01083
iter=65 terr=0.01717 serr=0.13996 act=924324 obj=5774.75435 diff=0.01212
iter=66 terr=0.01704 serr=0.13912 act=924324 obj=5724.30106 diff=0.00874
iter=67 terr=0.01642 serr=0.13313 act=924324 obj=5608.06292 diff=0.02031
iter=68 terr=0.01631 serr=0.13155 act=924324 obj=5475.68748 diff=0.02360
iter=69 terr=0.01607 serr=0.13029 act=924324 obj=5397.78517 diff=0.01423
iter=70 terr=0.01569 serr=0.12788 act=924324 obj=5253.31857 diff=0.02676
iter=71 terr=0.01600 serr=0.12872 act=924324 obj=5184.68640 diff=0.01306
iter=72 terr=0.01544 serr=0.12399 act=924324 obj=5059.41010 diff=0.02416
iter=73 terr=0.01526 serr=0.12304 act=924324 obj=5024.44519 diff=0.00691
iter=74 terr=0.01514 serr=0.12189 act=924324 obj=5000.34742 diff=0.00480
iter=75 terr=0.01540 serr=0.12304 act=924324 obj=4965.99024 diff=0.00687
iter=76 terr=0.01591 serr=0.12409 act=924324 obj=5122.94438 diff=0.03161
iter=77 terr=0.01540 serr=0.12199 act=924324 obj=4945.97236 diff=0.03454
iter=78 terr=0.01534 serr=0.12136 act=924324 obj=4905.54425 diff=0.00817
iter=79 terr=0.01534 serr=0.12010 act=924324 obj=4855.30104 diff=0.01024
iter=80 terr=0.01516 serr=0.11958 act=924324 obj=4801.78405 diff=0.01102
iter=81 terr=0.01531 serr=0.11663 act=924324 obj=4747.44036 diff=0.01132
iter=82 terr=0.01457 serr=0.11548 act=924324 obj=4651.47060 diff=0.02022
iter=83 terr=0.01391 serr=0.11443 act=924324 obj=4532.73213 diff=0.02553
iter=84 terr=0.01354 serr=0.11275 act=924324 obj=4486.52886 diff=0.01019
iter=85 terr=0.01356 serr=0.11306 act=924324 obj=4428.30560 diff=0.01298
iter=86 terr=0.01330 serr=0.11085 act=924324 obj=4387.21125 diff=0.00928
iter=87 terr=0.01330 serr=0.11117 act=924324 obj=4356.40076 diff=0.00702
iter=88 terr=0.01306 serr=0.10970 act=924324 obj=4305.60932 diff=0.01166
iter=89 terr=0.01272 serr=0.10718 act=924324 obj=4211.31858 diff=0.02190
iter=90 terr=0.01446 serr=0.11222 act=924324 obj=4366.70508 diff=0.03690
iter=91 terr=0.01268 serr=0.10592 act=924324 obj=4168.38310 diff=0.04542
iter=92 terr=0.01242 serr=0.10392 act=924324 obj=4095.30931 diff=0.01753
iter=93 terr=0.01233 serr=0.10245 act=924324 obj=4044.45885 diff=0.01242
iter=94 terr=0.01211 serr=0.10129 act=924324 obj=4004.08182 diff=0.00998
iter=95 terr=0.01181 serr=0.09940 act=924324 obj=3963.14044 diff=0.01022
iter=96 terr=0.01166 serr=0.09898 act=924324 obj=3894.22052 diff=0.01739
iter=97 terr=0.01309 serr=0.10360 act=924324 obj=4022.96716 diff=0.03306
iter=98 terr=0.01160 serr=0.09961 act=924324 obj=3861.81043 diff=0.04006
iter=99 terr=0.01117 serr=0.09782 act=924324 obj=3774.55782 diff=0.02259
iter=100 terr=0.01049 serr=0.09394 act=924324 obj=3630.98752 diff=0.03804
iter=101 terr=0.01029 serr=0.09173 act=924324 obj=3591.96142 diff=0.01075
iter=102 terr=0.01022 serr=0.09089 act=924324 obj=3547.07386 diff=0.01250
iter=103 terr=0.01007 serr=0.09036 act=924324 obj=3530.64092 diff=0.00463
iter=104 terr=0.00989 serr=0.08889 act=924324 obj=3509.62592 diff=0.00595
iter=105 terr=0.00970 serr=0.08774 act=924324 obj=3463.83302 diff=0.01305
iter=106 terr=0.13258 serr=0.26237 act=924324 obj=15912.15984 diff=3.59380
iter=107 terr=0.00999 serr=0.08826 act=924324 obj=3512.71954 diff=0.77924
iter=108 terr=0.00979 serr=0.08763 act=924324 obj=3452.40303 diff=0.01717
iter=109 terr=0.00943 serr=0.08627 act=924324 obj=3387.71448 diff=0.01874
iter=110 terr=0.01101 serr=0.09730 act=924324 obj=3768.08470 diff=0.11228
iter=111 terr=0.00933 serr=0.08627 act=924324 obj=3367.39534 diff=0.10634
iter=112 terr=0.00931 serr=0.08564 act=924324 obj=3330.22799 diff=0.01104
iter=113 terr=0.00916 serr=0.08532 act=924324 obj=3304.92227 diff=0.00760
iter=114 terr=0.00897 serr=0.08480 act=924324 obj=3275.37957 diff=0.00894
iter=115 terr=0.00853 serr=0.08206 act=924324 obj=3230.88259 diff=0.01359
iter=116 terr=0.00980 serr=0.08490 act=924324 obj=3361.20990 diff=0.04034
iter=117 terr=0.00864 serr=0.08290 act=924324 obj=3216.29402 diff=0.04311
iter=118 terr=0.00847 serr=0.08175 act=924324 obj=3188.73627 diff=0.00857
iter=119 terr=0.00838 serr=0.08038 act=924324 obj=3173.66022 diff=0.00473
iter=120 terr=0.00820 serr=0.07954 act=924324 obj=3155.82665 diff=0.00562
iter=121 terr=0.00814 serr=0.07860 act=924324 obj=3120.87643 diff=0.01107
iter=122 terr=0.00795 serr=0.07734 act=924324 obj=3044.24722 diff=0.02455
iter=123 terr=0.00768 serr=0.07618 act=924324 obj=2969.71451 diff=0.02448
iter=124 terr=0.00837 serr=0.07660 act=924324 obj=2994.78703 diff=0.00844
iter=125 terr=0.00773 serr=0.07555 act=924324 obj=2939.10469 diff=0.01859
iter=126 terr=0.00766 serr=0.07502 act=924324 obj=2895.11253 diff=0.01497
iter=127 terr=0.00746 serr=0.07261 act=924324 obj=2873.23862 diff=0.00756
iter=128 terr=0.00722 serr=0.07061 act=924324 obj=2814.25576 diff=0.02053
iter=129 terr=0.00690 serr=0.06735 act=924324 obj=2758.56133 diff=0.01979
iter=130 terr=0.00690 serr=0.06651 act=924324 obj=2710.73878 diff=0.01734
iter=131 terr=0.00664 serr=0.06515 act=924324 obj=2673.75938 diff=0.01364
iter=132 terr=0.00719 serr=0.06546 act=924324 obj=2661.56821 diff=0.00456
iter=133 terr=0.00670 serr=0.06410 act=924324 obj=2635.71851 diff=0.00971
iter=134 terr=0.00657 serr=0.06336 act=924324 obj=2627.03255 diff=0.00330
iter=135 terr=0.00637 serr=0.06273 act=924324 obj=2602.84849 diff=0.00921
iter=136 terr=0.00629 serr=0.06220 act=924324 obj=2568.32541 diff=0.01326
iter=137 terr=0.00797 serr=0.07355 act=924324 obj=2878.13493 diff=0.12063
iter=138 terr=0.00627 serr=0.06220 act=924324 obj=2554.58419 diff=0.11242
iter=139 terr=0.00639 serr=0.06294 act=924324 obj=2517.25000 diff=0.01461
iter=140 terr=0.00625 serr=0.06210 act=924324 obj=2491.66545 diff=0.01016
iter=141 terr=0.00628 serr=0.06347 act=924324 obj=2477.44891 diff=0.00571
iter=142 terr=0.00621 serr=0.06147 act=924324 obj=2456.27821 diff=0.00855
iter=143 terr=0.00602 serr=0.06105 act=924324 obj=2427.70258 diff=0.01163
iter=144 terr=0.00586 serr=0.06010 act=924324 obj=2398.76402 diff=0.01192
iter=145 terr=0.00558 serr=0.05779 act=924324 obj=2368.02414 diff=0.01281
iter=146 terr=0.00543 serr=0.05674 act=924324 obj=2343.11086 diff=0.01052
iter=147 terr=0.00503 serr=0.05380 act=924324 obj=2295.03543 diff=0.02052
iter=148 terr=0.00474 serr=0.05065 act=924324 obj=2257.99579 diff=0.01614
iter=149 terr=0.00471 serr=0.05033 act=924324 obj=2218.25751 diff=0.01760
iter=150 terr=0.00474 serr=0.05044 act=924324 obj=2204.04993 diff=0.00640
iter=151 terr=0.00476 serr=0.05002 act=924324 obj=2182.59612 diff=0.00973
iter=152 terr=0.00460 serr=0.05054 act=924324 obj=2151.51775 diff=0.01424
iter=153 terr=0.00451 serr=0.04981 act=924324 obj=2142.66146 diff=0.00412
iter=154 terr=0.00430 serr=0.04718 act=924324 obj=2103.62610 diff=0.01822
iter=155 terr=0.00417 serr=0.04560 act=924324 obj=2081.10295 diff=0.01071
iter=156 terr=0.00412 serr=0.04508 act=924324 obj=2058.26892 diff=0.01097
iter=157 terr=0.00414 serr=0.04518 act=924324 obj=2045.91384 diff=0.00600
iter=158 terr=0.00418 serr=0.04550 act=924324 obj=2017.79533 diff=0.01374
iter=159 terr=0.00396 serr=0.04434 act=924324 obj=2015.82141 diff=0.00098
iter=160 terr=0.00402 serr=0.04445 act=924324 obj=2006.17201 diff=0.00479
iter=161 terr=0.00397 serr=0.04392 act=924324 obj=1994.19259 diff=0.00597
iter=162 terr=0.00362 serr=0.04024 act=924324 obj=1972.47287 diff=0.01089
iter=163 terr=0.00350 serr=0.03867 act=924324 obj=1969.03209 diff=0.00174
iter=164 terr=0.00349 serr=0.03888 act=924324 obj=1963.97516 diff=0.00257
iter=165 terr=0.00351 serr=0.03888 act=924324 obj=1957.01106 diff=0.00355
iter=166 terr=0.00347 serr=0.03835 act=924324 obj=1945.57178 diff=0.00585
iter=167 terr=0.00342 serr=0.03783 act=924324 obj=1922.96490 diff=0.01162
iter=168 terr=0.00343 serr=0.03909 act=924324 obj=1942.99299 diff=0.01042
iter=169 terr=0.00312 serr=0.03699 act=924324 obj=1913.55382 diff=0.01515
iter=170 terr=0.00306 serr=0.03646 act=924324 obj=1904.16272 diff=0.00491
iter=171 terr=0.00304 serr=0.03625 act=924324 obj=1896.38982 diff=0.00408
iter=172 terr=0.00309 serr=0.03657 act=924324 obj=1885.64412 diff=0.00567
iter=173 terr=0.00310 serr=0.03625 act=924324 obj=1859.87365 diff=0.01367
iter=174 terr=0.00302 serr=0.03552 act=924324 obj=1823.44735 diff=0.01959
iter=175 terr=0.00583 serr=0.04697 act=924324 obj=2000.27706 diff=0.09698
iter=176 terr=0.00308 serr=0.03583 act=924324 obj=1815.50773 diff=0.09237
iter=177 terr=0.00300 serr=0.03531 act=924324 obj=1785.97017 diff=0.01627
iter=178 terr=0.00293 serr=0.03446 act=924324 obj=1770.60840 diff=0.00860
iter=179 terr=0.00291 serr=0.03446 act=924324 obj=1756.53618 diff=0.00795
iter=180 terr=0.00280 serr=0.03373 act=924324 obj=1742.59585 diff=0.00794
iter=181 terr=0.00265 serr=0.03236 act=924324 obj=1732.48893 diff=0.00580
iter=182 terr=0.00262 serr=0.03236 act=924324 obj=1713.54917 diff=0.01093
iter=183 terr=0.00266 serr=0.03247 act=924324 obj=1706.05000 diff=0.00438
iter=184 terr=0.00259 serr=0.03194 act=924324 obj=1697.08343 diff=0.00526
iter=185 terr=0.00262 serr=0.03236 act=924324 obj=1693.22244 diff=0.00228
iter=186 terr=0.00264 serr=0.03257 act=924324 obj=1687.94511 diff=0.00312
iter=187 terr=0.00259 serr=0.03247 act=924324 obj=1676.12878 diff=0.00700
iter=188 terr=0.00253 serr=0.03205 act=924324 obj=1654.76176 diff=0.01275
iter=189 terr=0.00262 serr=0.03100 act=924324 obj=1649.11770 diff=0.00341
iter=190 terr=0.00246 serr=0.03026 act=924324 obj=1632.42759 diff=0.01012
iter=191 terr=0.00240 serr=0.02995 act=924324 obj=1627.77225 diff=0.00285
iter=192 terr=0.00242 serr=0.02974 act=924324 obj=1622.00793 diff=0.00354
iter=193 terr=0.00235 serr=0.02890 act=924324 obj=1614.86009 diff=0.00441
iter=194 terr=0.00226 serr=0.02763 act=924324 obj=1605.00785 diff=0.00610
iter=195 terr=0.00242 serr=0.02848 act=924324 obj=1610.68158 diff=0.00354
iter=196 terr=0.00233 serr=0.02795 act=924324 obj=1596.74056 diff=0.00866
iter=197 terr=0.00230 serr=0.02753 act=924324 obj=1588.06256 diff=0.00543
iter=198 terr=0.00230 serr=0.02795 act=924324 obj=1582.00059 diff=0.00382
iter=199 terr=0.00231 serr=0.02763 act=924324 obj=1589.53120 diff=0.00476
iter=200 terr=0.00229 serr=0.02763 act=924324 obj=1579.18817 diff=0.00651
iter=201 terr=0.00230 serr=0.02784 act=924324 obj=1575.70014 diff=0.00221
iter=202 terr=0.00225 serr=0.02795 act=924324 obj=1557.33306 diff=0.01166
iter=203 terr=0.00229 serr=0.02721 act=924324 obj=1543.55190 diff=0.00885
iter=204 terr=0.00238 serr=0.02742 act=924324 obj=1534.01580 diff=0.00618
iter=205 terr=0.00235 serr=0.02700 act=924324 obj=1519.12303 diff=0.00971
iter=206 terr=0.00232 serr=0.02637 act=924324 obj=1504.85603 diff=0.00939
iter=207 terr=0.00223 serr=0.02574 act=924324 obj=1492.84449 diff=0.00798
iter=208 terr=0.00252 serr=0.02490 act=924324 obj=1485.53727 diff=0.00489
iter=209 terr=0.00217 serr=0.02490 act=924324 obj=1472.86376 diff=0.00853
iter=210 terr=0.00209 serr=0.02417 act=924324 obj=1463.26178 diff=0.00652
iter=211 terr=0.00193 serr=0.02259 act=924324 obj=1449.94947 diff=0.00910
iter=212 terr=0.00182 serr=0.02165 act=924324 obj=1428.66569 diff=0.01468
iter=213 terr=0.00202 serr=0.02144 act=924324 obj=1415.64991 diff=0.00911
iter=214 terr=0.00189 serr=0.02070 act=924324 obj=1388.62838 diff=0.01909
iter=215 terr=0.00186 serr=0.02049 act=924324 obj=1380.50121 diff=0.00585
iter=216 terr=0.00186 serr=0.02049 act=924324 obj=1370.10760 diff=0.00753
iter=217 terr=0.00194 serr=0.02112 act=924324 obj=1360.23833 diff=0.00720
iter=218 terr=0.00191 serr=0.02028 act=924324 obj=1338.35619 diff=0.01609
iter=219 terr=0.00193 serr=0.02059 act=924324 obj=1324.63687 diff=0.01025
iter=220 terr=0.00250 serr=0.02385 act=924324 obj=1339.09959 diff=0.01092
iter=221 terr=0.00211 serr=0.02123 act=924324 obj=1312.86689 diff=0.01959
iter=222 terr=0.00195 serr=0.02102 act=924324 obj=1298.18547 diff=0.01118
iter=223 terr=0.00200 serr=0.02112 act=924324 obj=1295.25768 diff=0.00226
iter=224 terr=0.00198 serr=0.02059 act=924324 obj=1284.18233 diff=0.00855
iter=225 terr=0.00180 serr=0.01912 act=924324 obj=1273.65132 diff=0.00820
iter=226 terr=0.00183 serr=0.01902 act=924324 obj=1257.50706 diff=0.01268
iter=227 terr=0.00181 serr=0.01818 act=924324 obj=1243.00648 diff=0.01153
iter=228 terr=0.00171 serr=0.01734 act=924324 obj=1231.42418 diff=0.00932
iter=229 terr=0.00168 serr=0.01734 act=924324 obj=1217.30899 diff=0.01146
iter=230 terr=0.00157 serr=0.01608 act=924324 obj=1213.82794 diff=0.00286
iter=231 terr=0.00154 serr=0.01513 act=924324 obj=1191.59712 diff=0.01831
iter=232 terr=0.00151 serr=0.01450 act=924324 obj=1181.57730 diff=0.00841
iter=233 terr=0.00140 serr=0.01355 act=924324 obj=1164.43479 diff=0.01451
iter=234 terr=0.00131 serr=0.01334 act=924324 obj=1154.48202 diff=0.00855
iter=235 terr=0.00132 serr=0.01282 act=924324 obj=1148.01076 diff=0.00561
iter=236 terr=0.00131 serr=0.01292 act=924324 obj=1134.93547 diff=0.01139
iter=237 terr=0.00126 serr=0.01282 act=924324 obj=1114.76140 diff=0.01778
iter=238 terr=0.00123 serr=0.01282 act=924324 obj=1141.49185 diff=0.02398
iter=239 terr=0.00118 serr=0.01198 act=924324 obj=1105.74172 diff=0.03132
iter=240 terr=0.00111 serr=0.01156 act=924324 obj=1091.17778 diff=0.01317
iter=241 terr=0.00107 serr=0.01114 act=924324 obj=1081.50695 diff=0.00886
iter=242 terr=0.00115 serr=0.01114 act=924324 obj=1075.85311 diff=0.00523
iter=243 terr=0.00102 serr=0.01040 act=924324 obj=1071.51788 diff=0.00403
iter=244 terr=0.00095 serr=0.01019 act=924324 obj=1067.95936 diff=0.00332
iter=245 terr=0.00092 serr=0.01009 act=924324 obj=1063.20069 diff=0.00446
iter=246 terr=0.00087 serr=0.00988 act=924324 obj=1052.27498 diff=0.01028
iter=247 terr=0.00096 serr=0.00998 act=924324 obj=1092.80633 diff=0.03852
iter=248 terr=0.00076 serr=0.00851 act=924324 obj=1045.35012 diff=0.04343
iter=249 terr=0.00076 serr=0.00872 act=924324 obj=1031.24920 diff=0.01349
iter=250 terr=0.00072 serr=0.00883 act=924324 obj=1016.57836 diff=0.01423
iter=251 terr=0.00109 serr=0.00914 act=924324 obj=1031.09305 diff=0.01428
iter=252 terr=0.00073 serr=0.00841 act=924324 obj=1012.07925 diff=0.01844
iter=253 terr=0.00067 serr=0.00767 act=924324 obj=1007.91844 diff=0.00411
iter=254 terr=0.00063 serr=0.00746 act=924324 obj=997.97258 diff=0.00987
iter=255 terr=0.00055 serr=0.00662 act=924324 obj=985.99367 diff=0.01200
iter=256 terr=0.00045 serr=0.00599 act=924324 obj=972.28275 diff=0.01391
iter=257 terr=0.00058 serr=0.00620 act=924324 obj=1024.68010 diff=0.05389
iter=258 terr=0.00043 serr=0.00567 act=924324 obj=968.18311 diff=0.05514
iter=259 terr=0.00043 serr=0.00557 act=924324 obj=961.64869 diff=0.00675
iter=260 terr=0.00043 serr=0.00557 act=924324 obj=957.31150 diff=0.00451
iter=261 terr=0.00039 serr=0.00525 act=924324 obj=954.56396 diff=0.00287
iter=262 terr=0.00038 serr=0.00504 act=924324 obj=951.63098 diff=0.00307
iter=263 terr=0.00032 serr=0.00452 act=924324 obj=945.38715 diff=0.00656
iter=264 terr=0.00030 serr=0.00420 act=924324 obj=933.31896 diff=0.01277
iter=265 terr=0.00029 serr=0.00410 act=924324 obj=928.27567 diff=0.00540
iter=266 terr=0.00032 serr=0.00410 act=924324 obj=921.85457 diff=0.00692
iter=267 terr=0.00030 serr=0.00378 act=924324 obj=915.64298 diff=0.00674
iter=268 terr=0.00029 serr=0.00378 act=924324 obj=911.20054 diff=0.00485
iter=269 terr=0.00027 serr=0.00368 act=924324 obj=907.36386 diff=0.00421
iter=270 terr=0.00023 serr=0.00336 act=924324 obj=905.25028 diff=0.00233
iter=271 terr=0.00023 serr=0.00336 act=924324 obj=901.41199 diff=0.00424
iter=272 terr=0.00022 serr=0.00326 act=924324 obj=894.32850 diff=0.00786
iter=273 terr=0.00022 serr=0.00326 act=924324 obj=898.69032 diff=0.00488
iter=274 terr=0.00021 serr=0.00305 act=924324 obj=889.64036 diff=0.01007
iter=275 terr=0.00020 serr=0.00294 act=924324 obj=883.00686 diff=0.00746
iter=276 terr=0.00017 serr=0.00252 act=924324 obj=878.04809 diff=0.00562
iter=277 terr=0.00020 serr=0.00242 act=924324 obj=883.02197 diff=0.00566
iter=278 terr=0.00017 serr=0.00242 act=924324 obj=876.62011 diff=0.00725
iter=279 terr=0.00018 serr=0.00263 act=924324 obj=875.49098 diff=0.00129
iter=280 terr=0.00017 serr=0.00252 act=924324 obj=872.10825 diff=0.00386
iter=281 terr=0.00017 serr=0.00242 act=924324 obj=868.81522 diff=0.00378
iter=282 terr=0.00015 serr=0.00210 act=924324 obj=871.35830 diff=0.00293
iter=283 terr=0.00016 serr=0.00231 act=924324 obj=868.00703 diff=0.00385
iter=284 terr=0.00015 serr=0.00221 act=924324 obj=866.49257 diff=0.00174
iter=285 terr=0.00016 serr=0.00231 act=924324 obj=864.59181 diff=0.00219
iter=286 terr=0.00017 serr=0.00242 act=924324 obj=861.67834 diff=0.00337
iter=287 terr=0.00026 serr=0.00221 act=924324 obj=867.65796 diff=0.00694
iter=288 terr=0.00016 serr=0.00231 act=924324 obj=860.15226 diff=0.00865
iter=289 terr=0.00017 serr=0.00242 act=924324 obj=857.45441 diff=0.00314
iter=290 terr=0.00016 serr=0.00231 act=924324 obj=853.83117 diff=0.00423
iter=291 terr=0.00016 serr=0.00231 act=924324 obj=851.81100 diff=0.00237
iter=292 terr=0.00016 serr=0.00231 act=924324 obj=851.20411 diff=0.00071
iter=293 terr=0.00016 serr=0.00231 act=924324 obj=847.55544 diff=0.00429
iter=294 terr=0.00016 serr=0.00231 act=924324 obj=844.58535 diff=0.00350
iter=295 terr=0.00017 serr=0.00242 act=924324 obj=840.65126 diff=0.00466
iter=296 terr=0.00021 serr=0.00242 act=924324 obj=839.57912 diff=0.00128
iter=297 terr=0.00018 serr=0.00242 act=924324 obj=836.21788 diff=0.00400
iter=298 terr=0.00016 serr=0.00221 act=924324 obj=835.26096 diff=0.00114
iter=299 terr=0.00015 serr=0.00210 act=924324 obj=833.27296 diff=0.00238
iter=300 terr=0.00015 serr=0.00210 act=924324 obj=831.93429 diff=0.00161
iter=301 terr=0.00015 serr=0.00210 act=924324 obj=830.85258 diff=0.00130
iter=302 terr=0.00019 serr=0.00210 act=924324 obj=829.99430 diff=0.00103
iter=303 terr=0.00019 serr=0.00210 act=924324 obj=828.88979 diff=0.00133
iter=304 terr=0.00018 serr=0.00200 act=924324 obj=828.02112 diff=0.00105
iter=305 terr=0.00018 serr=0.00200 act=924324 obj=827.15922 diff=0.00104
iter=306 terr=0.00017 serr=0.00189 act=924324 obj=826.11022 diff=0.00127
iter=307 terr=0.00014 serr=0.00179 act=924324 obj=824.35755 diff=0.00212
iter=308 terr=0.00014 serr=0.00179 act=924324 obj=822.96202 diff=0.00169
iter=309 terr=0.00014 serr=0.00189 act=924324 obj=821.29917 diff=0.00202
iter=310 terr=0.00014 serr=0.00189 act=924324 obj=819.85921 diff=0.00175
iter=311 terr=0.00014 serr=0.00179 act=924324 obj=818.71769 diff=0.00139
iter=312 terr=0.00014 serr=0.00179 act=924324 obj=818.02173 diff=0.00085
iter=313 terr=0.00014 serr=0.00179 act=924324 obj=817.25727 diff=0.00093
iter=314 terr=0.00014 serr=0.00179 act=924324 obj=816.02030 diff=0.00151
iter=315 terr=0.00012 serr=0.00158 act=924324 obj=813.98479 diff=0.00249
iter=316 terr=0.00010 serr=0.00147 act=924324 obj=811.76019 diff=0.00273
iter=317 terr=0.00012 serr=0.00168 act=924324 obj=812.24545 diff=0.00060
iter=318 terr=0.00010 serr=0.00147 act=924324 obj=810.88509 diff=0.00167
iter=319 terr=0.00010 serr=0.00147 act=924324 obj=809.88544 diff=0.00123
iter=320 terr=0.00011 serr=0.00158 act=924324 obj=809.41984 diff=0.00057
iter=321 terr=0.00010 serr=0.00147 act=924324 obj=808.10395 diff=0.00163
iter=322 terr=0.00010 serr=0.00137 act=924324 obj=805.32653 diff=0.00344
iter=323 terr=0.00008 serr=0.00105 act=924324 obj=804.99703 diff=0.00041
iter=324 terr=0.00009 serr=0.00126 act=924324 obj=803.58315 diff=0.00176
iter=325 terr=0.00009 serr=0.00126 act=924324 obj=801.65099 diff=0.00240
iter=326 terr=0.00008 serr=0.00105 act=924324 obj=801.74223 diff=0.00011
iter=327 terr=0.00008 serr=0.00105 act=924324 obj=801.21568 diff=0.00066
iter=328 terr=0.00008 serr=0.00105 act=924324 obj=800.84793 diff=0.00046
iter=329 terr=0.00008 serr=0.00105 act=924324 obj=800.61223 diff=0.00029
iter=330 terr=0.00008 serr=0.00116 act=924324 obj=799.69249 diff=0.00115
iter=331 terr=0.00008 serr=0.00116 act=924324 obj=798.23534 diff=0.00182
iter=332 terr=0.00009 serr=0.00126 act=924324 obj=797.50901 diff=0.00091
iter=333 terr=0.00009 serr=0.00137 act=924324 obj=796.76392 diff=0.00093
iter=334 terr=0.00009 serr=0.00137 act=924324 obj=796.38930 diff=0.00047
iter=335 terr=0.00009 serr=0.00137 act=924324 obj=796.06639 diff=0.00041
iter=336 terr=0.00009 serr=0.00137 act=924324 obj=795.79060 diff=0.00035
iter=337 terr=0.00009 serr=0.00137 act=924324 obj=795.35520 diff=0.00055
iter=338 terr=0.00008 serr=0.00116 act=924324 obj=794.51957 diff=0.00105
iter=339 terr=0.00007 serr=0.00105 act=924324 obj=793.48493 diff=0.00130
iter=340 terr=0.00007 serr=0.00105 act=924324 obj=793.70866 diff=0.00028
iter=341 terr=0.00008 serr=0.00116 act=924324 obj=793.04872 diff=0.00083
iter=342 terr=0.00008 serr=0.00126 act=924324 obj=792.37561 diff=0.00085
iter=343 terr=0.00008 serr=0.00126 act=924324 obj=791.98699 diff=0.00049
iter=344 terr=0.00007 serr=0.00105 act=924324 obj=790.67135 diff=0.00166
iter=345 terr=0.00008 serr=0.00116 act=924324 obj=789.27697 diff=0.00176
iter=346 terr=0.00007 serr=0.00105 act=924324 obj=787.25509 diff=0.00256
iter=347 terr=0.00006 serr=0.00095 act=924324 obj=786.47497 diff=0.00099
iter=348 terr=0.00006 serr=0.00084 act=924324 obj=786.06112 diff=0.00053
iter=349 terr=0.00005 serr=0.00074 act=924324 obj=785.47491 diff=0.00075
iter=350 terr=0.00006 serr=0.00084 act=924324 obj=784.98139 diff=0.00063
iter=351 terr=0.00006 serr=0.00084 act=924324 obj=784.32581 diff=0.00084
iter=352 terr=0.00006 serr=0.00084 act=924324 obj=783.19085 diff=0.00145
iter=353 terr=0.00006 serr=0.00084 act=924324 obj=784.01387 diff=0.00105
iter=354 terr=0.00005 serr=0.00074 act=924324 obj=782.47223 diff=0.00197
iter=355 terr=0.00006 serr=0.00084 act=924324 obj=781.49758 diff=0.00125
iter=356 terr=0.00005 serr=0.00074 act=924324 obj=781.07125 diff=0.00055
iter=357 terr=0.00005 serr=0.00074 act=924324 obj=780.67481 diff=0.00051
iter=358 terr=0.00005 serr=0.00074 act=924324 obj=780.10510 diff=0.00073
iter=359 terr=0.00005 serr=0.00074 act=924324 obj=779.00272 diff=0.00141
iter=360 terr=0.00005 serr=0.00074 act=924324 obj=778.36304 diff=0.00082
iter=361 terr=0.00005 serr=0.00074 act=924324 obj=777.90968 diff=0.00058
iter=362 terr=0.00005 serr=0.00074 act=924324 obj=777.10148 diff=0.00104
iter=363 terr=0.00005 serr=0.00063 act=924324 obj=775.81495 diff=0.00166
iter=364 terr=0.00005 serr=0.00063 act=924324 obj=776.28776 diff=0.00061
iter=365 terr=0.00005 serr=0.00063 act=924324 obj=775.44233 diff=0.00109
iter=366 terr=0.00005 serr=0.00063 act=924324 obj=775.17641 diff=0.00034
iter=367 terr=0.00005 serr=0.00063 act=924324 obj=774.92159 diff=0.00033
iter=368 terr=0.00005 serr=0.00063 act=924324 obj=774.53633 diff=0.00050
iter=369 terr=0.00005 serr=0.00074 act=924324 obj=774.02495 diff=0.00066
iter=370 terr=0.00005 serr=0.00074 act=924324 obj=773.38801 diff=0.00082
iter=371 terr=0.00005 serr=0.00063 act=924324 obj=773.08514 diff=0.00039
iter=372 terr=0.00005 serr=0.00063 act=924324 obj=772.71304 diff=0.00048
iter=373 terr=0.00004 serr=0.00053 act=924324 obj=773.01600 diff=0.00039
iter=374 terr=0.00005 serr=0.00063 act=924324 obj=772.44890 diff=0.00073
iter=375 terr=0.00004 serr=0.00053 act=924324 obj=771.99762 diff=0.00058
iter=376 terr=0.00005 serr=0.00063 act=924324 obj=770.69073 diff=0.00169
iter=377 terr=0.00005 serr=0.00063 act=924324 obj=771.16225 diff=0.00061
iter=378 terr=0.00005 serr=0.00063 act=924324 obj=770.48968 diff=0.00087
iter=379 terr=0.00005 serr=0.00063 act=924324 obj=770.08581 diff=0.00052
iter=380 terr=0.00005 serr=0.00063 act=924324 obj=769.89168 diff=0.00025
iter=381 terr=0.00005 serr=0.00074 act=924324 obj=769.49564 diff=0.00051
iter=382 terr=0.00005 serr=0.00074 act=924324 obj=769.51810 diff=0.00003
iter=383 terr=0.00005 serr=0.00074 act=924324 obj=769.19792 diff=0.00042
iter=384 terr=0.00005 serr=0.00074 act=924324 obj=768.74901 diff=0.00058
iter=385 terr=0.00005 serr=0.00074 act=924324 obj=768.52604 diff=0.00029
iter=386 terr=0.00005 serr=0.00074 act=924324 obj=768.19355 diff=0.00043
iter=387 terr=0.00005 serr=0.00063 act=924324 obj=767.67012 diff=0.00068
iter=388 terr=0.00005 serr=0.00063 act=924324 obj=767.06884 diff=0.00078
iter=389 terr=0.00004 serr=0.00053 act=924324 obj=766.40981 diff=0.00086
iter=390 terr=0.00004 serr=0.00053 act=924324 obj=766.08490 diff=0.00042
iter=391 terr=0.00004 serr=0.00053 act=924324 obj=765.81273 diff=0.00036
iter=392 terr=0.00004 serr=0.00053 act=924324 obj=765.46955 diff=0.00045
iter=393 terr=0.00004 serr=0.00053 act=924324 obj=765.19035 diff=0.00036
iter=394 terr=0.00004 serr=0.00053 act=924324 obj=764.83777 diff=0.00046
iter=395 terr=0.00004 serr=0.00053 act=924324 obj=764.69806 diff=0.00018
iter=396 terr=0.00004 serr=0.00053 act=924324 obj=764.44828 diff=0.00033
iter=397 terr=0.00004 serr=0.00053 act=924324 obj=764.14898 diff=0.00039
iter=398 terr=0.00004 serr=0.00053 act=924324 obj=763.56213 diff=0.00077
iter=399 terr=0.00004 serr=0.00053 act=924324 obj=763.08606 diff=0.00062
iter=400 terr=0.00004 serr=0.00053 act=924324 obj=762.75556 diff=0.00043
iter=401 terr=0.00004 serr=0.00053 act=924324 obj=763.59621 diff=0.00110
iter=402 terr=0.00004 serr=0.00053 act=924324 obj=762.69712 diff=0.00118
iter=403 terr=0.00004 serr=0.00053 act=924324 obj=762.61366 diff=0.00011
iter=404 terr=0.00004 serr=0.00053 act=924324 obj=762.42981 diff=0.00024
iter=405 terr=0.00004 serr=0.00053 act=924324 obj=762.07911 diff=0.00046
iter=406 terr=0.00004 serr=0.00053 act=924324 obj=762.00904 diff=0.00009
iter=407 terr=0.00004 serr=0.00053 act=924324 obj=761.66325 diff=0.00045
iter=408 terr=0.00004 serr=0.00053 act=924324 obj=761.56398 diff=0.00013
iter=409 terr=0.00004 serr=0.00053 act=924324 obj=761.49540 diff=0.00009
iter=410 terr=0.00004 serr=0.00053 act=924324 obj=761.45904 diff=0.00005
iter=411 terr=0.00004 serr=0.00053 act=924324 obj=761.39370 diff=0.00009

Done!702.94 s

-> Setting up chunker: chunker_cp
--> Chunk propagation
2017-06-14 20:16:55,362 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100512.xml
(ChunkerEvaluator) Sentence #1 from 00100512 from sent1

Text  : Žarko Čabarkapa
Tokens: 1____ 2________

Chunks:
  TruePositive nam [1,2] = Žarko Čabarkapa (confidence=0.92)

(ChunkerEvaluator) Sentence #2 from 00100512 from sent2

Text  : Žarko Čabarkapa , ( ur . 21 maja 1981 roku w_ Belgradzie )_ ,_ serbski koszykarz ,_ występujący w_ barwach KK Buducnost Podgorica ,_ reprezentant Serbii ._
Tokens: 1____ 2________ 3 4 5_ 6 7_ 8___ 9___ 10__ 11 12________ 13 14 15_____ 16_______ 17 18_________ 19 20_____ 21 22_______ 23_______ 24 25__________ 26____ 27

Chunks:
  TruePositive nam [1,2] = Žarko Čabarkapa (confidence=0.83)
  TruePositive nam [12,12] = Belgradzie (confidence=1.00)
  TruePositive nam [21,23] = KK Buducnost Podgorica (confidence=1.00)
  TruePositive nam [26,26] = Serbii (confidence=1.00)

(ChunkerEvaluator) Sentence #3 from 00100512 from sent3

Text  : Ma 211 cm wzrostu , waży 106 kg .
Tokens: 1_ 2__ 3_ 4______ 5 6___ 7__ 8_ 9

Chunks:

(ChunkerEvaluator) Sentence #4 from 00100512 from sent4

Text  : Kariera
Tokens: 1______

Chunks:

(ChunkerEvaluator) Sentence #5 from 00100512 from sent5

Text  : Przed przybyciem do NBA występował w serbskich drużynach Bleopetrol (_ 1998 -_ 01 )_ i_ Buducnost (_ 2001 -_ 03 )_ ._
Tokens: 1____ 2_________ 3_ 4__ 5_________ 6 7________ 8________ 9_________ 10 11__ 12 13 14 15 16_______ 17 18__ 19 20 21 22

Chunks:
  TruePositive nam [4,4] = NBA (confidence=0.99)
  TruePositive nam [9,9] = Bleopetrol (confidence=1.00)
  TruePositive nam [16,16] = Buducnost (confidence=0.98)

(ChunkerEvaluator) Sentence #6 from 00100512 from sent6

Text  : W 2003 roku został wybrany przez Phoenix Suns z numerem 17 ._ w_ drafcie ._
Tokens: 1 2___ 3___ 4_____ 5______ 6____ 7______ 8___ 9 10_____ 11 12 13 14_____ 15

Chunks:
  TruePositive nam [7,8] = Phoenix Suns (confidence=1.00)

(ChunkerEvaluator) Sentence #7 from 00100512 from sent7

Text  : W swoim pierwszym sezonie w NBA w barwach Suns wystąpił w_ 49 meczach zdobywając średnio 4_ ._ 1_ punktu na mecz ._
Tokens: 1 2____ 3________ 4______ 5 6__ 7 8______ 9___ 10______ 11 12 13_____ 14________ 15_____ 16 17 18 19____ 20 21__ 22

Chunks:
  TruePositive nam [6,6] = NBA (confidence=0.99)
  TruePositive nam [9,9] = Suns (confidence=1.00)

(ChunkerEvaluator) Sentence #8 from 00100512 from sent8

Text  : W drugim roku gry w NBA ( 2004 - 05 )_ rozegrał w_ barwach Suns zaledwie 3_ mecze po czym przeniósł się do Golden State Warriors ._
Tokens: 1 2_____ 3___ 4__ 5 6__ 7 8___ 9 10 11 12______ 13 14_____ 15__ 16______ 17 18___ 19 20__ 21_______ 22_ 23 24____ 25___ 26______ 27

Chunks:
  TruePositive nam [6,6] = NBA (confidence=0.99)
  TruePositive nam [15,15] = Suns (confidence=1.00)
  TruePositive nam [24,26] = Golden State Warriors (confidence=1.00)

(ChunkerEvaluator) Sentence #9 from 00100512 from sent9

Text  : Tam wystąpił aż w 77 spotkaniach zdobywając 6 . 1_ punktu na mecz ._
Tokens: 1__ 2_______ 3_ 4 5_ 6__________ 7_________ 8 9 10 11____ 12 13__ 14

Chunks:

(ChunkerEvaluator) Sentence #10 from 00100512 from sent10

Text  : W sezonie 2005 - 06 w barwach Warriors rozegrał 61 spotkań rzucając 3_ ._ 3_ punktu na mecz ._
Tokens: 1 2______ 3___ 4 5_ 6 7______ 8_______ 9_______ 10 11_____ 12______ 13 14 15 16____ 17 18__ 19

Chunks:
  TruePositive nam [8,8] = Warriors (confidence=1.00)

(ChunkerEvaluator) Sentence #11 from 00100512 from sent11

Text  : 16 stycznia 2009 podpisał kontrakt z KK Buducnost Podgorica ._
Tokens: 1_ 2_______ 3___ 4_______ 5_______ 6 7_ 8________ 9________ 10

Chunks:
  TruePositive nam [7,9] = KK Buducnost Podgorica (confidence=1.00)

(ChunkerEvaluator) Sentence #12 from 00100512 from sent12

Text  : Rekordy w NBA ( w trakcie jednego meczu )
Tokens: 1______ 2 3__ 4 5 6______ 7______ 8____ 9

Chunks:
  TruePositive nam [3,3] = NBA (confidence=0.99)

(ChunkerEvaluator) Sentence #13 from 00100512 from sent13

Text  : Punkty : 26 ( vs . Houston 14 / 03 /_ 05 )_
Tokens: 1_____ 2 3_ 4 5_ 6 7______ 8_ 9 10 11 12 13

Chunks:
  TruePositive nam [7,7] = Houston (confidence=0.67)

(ChunkerEvaluator) Sentence #14 from 00100512 from sent14

Text  : Celne rzuty z gry : 8 ( vs . Houston 14 /_ 03 /_ 05 )_
Tokens: 1____ 2____ 3 4__ 5 6 7 8_ 9 10_____ 11 12 13 14 15 16

Chunks:
  TruePositive nam [10,10] = Houston (confidence=0.67)

(ChunkerEvaluator) Sentence #15 from 00100512 from sent15

Text  : Celne rzuty wolne : 6 ( vs . Dallas 13 /_ 03 /_ 04 )_
Tokens: 1____ 2____ 3____ 4 5 6 7_ 8 9_____ 10 11 12 13 14 15

Chunks:
  TruePositive nam [9,9] = Dallas (confidence=0.79)

(ChunkerEvaluator) Sentence #16 from 00100512 from sent16

Text  : Zbiórki : 11 ( vs . Phoenix 12 / 01 /_ 06 )_
Tokens: 1______ 2 3_ 4 5_ 6 7______ 8_ 9 10 11 12 13

Chunks:
  TruePositive nam [7,7] = Phoenix (confidence=0.86)

(ChunkerEvaluator) Sentence #17 from 00100512 from sent17

Text  : Asysty : 3 ( pięć razy )
Tokens: 1_____ 2 3 4 5___ 6___ 7

Chunks:

(ChunkerEvaluator) Sentence #18 from 00100512 from sent18

Text  : Przechwyty : 2 ( cztery razy )
Tokens: 1_________ 2 3 4 5_____ 6___ 7

Chunks:

(ChunkerEvaluator) Sentence #19 from 00100512 from sent19

Text  : Bloki : 2 ( cztery razy )
Tokens: 1____ 2 3 4 5_____ 6___ 7

Chunks:

(ChunkerEvaluator) Sentence #20 from 00100512 from sent20

Text  : Minuty na boisku : 32 ( vs . Houston 14 /_ 03 /_ 05 )_
Tokens: 1_____ 2_ 3_____ 4 5_ 6 7_ 8 9______ 10 11 12 13 14 15

Chunks:
  TruePositive nam [9,9] = Houston (confidence=0.67)

2017-06-14 20:16:55,433 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 2 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100609.xml
(ChunkerEvaluator) Sentence #21 from 00100609 from sent1

Text  : Otrzymali śmy patronat PAN
Tokens: 1________ 2__ 3_______ 4__

Chunks:
  TruePositive nam [4,4] = PAN (confidence=1.00)

(ChunkerEvaluator) Sentence #22 from 00100609 from sent2

Text  : Z przyjemnością informujemy , że nasz projekt został objęty honorowym patronatem przez Polską Akademię Nauk ._
Tokens: 1 2____________ 3__________ 4 5_ 6___ 7______ 8_____ 9_____ 10_______ 11________ 12___ 13____ 14______ 15__ 16

Chunks:
  TruePositive nam [13,15] = Polską Akademię Nauk (confidence=1.00)

(ChunkerEvaluator) Sentence #23 from 00100609 from sent3

Text  : Na podstawie pytań zgłaszanych przez osoby , z którymi rozmawiamy o_ projekcie ,_ przygotowali śmy zbiór pytań i_ odpowiedzi związanych z_ projektem “_ Otwórz książkę ”_ ._
Tokens: 1_ 2________ 3____ 4__________ 5____ 6____ 7 8 9______ 10________ 11 12_______ 13 14__________ 15_ 16___ 17___ 18 19________ 20________ 21 22_______ 23 24____ 25_____ 26 27

Chunks:
  FalseNegative nam [24,25] = Otwórz książkę

(ChunkerEvaluator) Sentence #24 from 00100609 from sent4

Text  : Dokument skierowany jest do autorów chcących udostępnić swoje książki w_ ramach projektu ,_ jego współpracowników ,_ oraz wszystkich osób zainteresowanych udziałem w_ projekcie ._
Tokens: 1_______ 2_________ 3___ 4_ 5______ 6_______ 7_________ 8____ 9______ 10 11____ 12______ 13 14__ 15______________ 16 17__ 18________ 19__ 20______________ 21______ 22 23_______ 24

Chunks:

2017-06-14 20:16:55,454 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 3 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100615.xml
(ChunkerEvaluator) Sentence #25 from 00100615 from sent1

Text  : Jak wykorzystywane są licencje CC
Tokens: 1__ 2_____________ 3_ 4_______ 5_

Chunks:
  TruePositive nam [5,5] = CC (confidence=0.95)

(ChunkerEvaluator) Sentence #26 from 00100615 from sent2

Text  : Jakiś czas temu Unia Europejska wsparła eksperyment dotyczący planowania przestrzeni zurbanizowanej ,_ w_ ramach którego kilka europejskich miast usunęło wszystkie znaki drogowe ze swoich ulic ._
Tokens: 1____ 2___ 3___ 4___ 5_________ 6______ 7__________ 8________ 9_________ 10_________ 11____________ 12 13 14____ 15_____ 16___ 17__________ 18___ 19_____ 20_______ 21___ 22_____ 23 24____ 25__ 26

Chunks:
  TruePositive nam [4,5] = Unia Europejska (confidence=1.00)

2017-06-14 20:16:55,463 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100636.xml
(ChunkerEvaluator) Sentence #27 from 00100636 from sent1

Text  : 6 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #28 from 00100636 from sent2

Text  : Wy !
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #29 from 00100636 from sent3

Text  : którzy wierzycie w Boga i dzień sądu , macie w_ tem dostateczny przykład ich pobożności (_ Abrahama i_ jego rodziny )_ ._
Tokens: 1_____ 2________ 3 4___ 5 6____ 7___ 8 9____ 10 11_ 12_________ 13______ 14_ 15________ 16 17______ 18 19__ 20_____ 21 22

Chunks:
  TruePositive nam [4,4] = Boga (confidence=1.00)
  TruePositive nam [17,17] = Abrahama (confidence=0.99)

(ChunkerEvaluator) Sentence #30 from 00100636 from sent4

Text  : Chociaż bezbożny odmawia Wszechmocnemu należnego hołdu .
Tokens: 1______ 2_______ 3______ 4____________ 5________ 6____ 7

Chunks:
  TruePositive nam [4,4] = Wszechmocnemu (confidence=0.89)

(ChunkerEvaluator) Sentence #31 from 00100636 from sent5

Text  : Bóg jednak może obejść się bez czci , bo On jest bogaty i_ otoczony chwałą wiernych ._
Tokens: 1__ 2_____ 3___ 4_____ 5__ 6__ 7___ 8 9_ 10 11__ 12____ 13 14______ 15____ 16______ 17

Chunks:
  TruePositive nam [1,1] = Bóg (confidence=0.99)

(ChunkerEvaluator) Sentence #32 from 00100636 from sent6

Text  : 7 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #33 from 00100636 from sent7

Text  : Może być iż kiedyś Bóg przywróci zgodę między wami i_ waszymi nieprzyjaciółmi ;_ bo On jest Wszechmogący ,_ litościwy i_ miłosierny ._
Tokens: 1___ 2__ 3_ 4_____ 5__ 6________ 7____ 8_____ 9___ 10 11_____ 12_____________ 13 14 15 16__ 17__________ 18 19_______ 20 21________ 22

Chunks:
  TruePositive nam [5,5] = Bóg (confidence=1.00)
  TruePositive nam [17,17] = Wszechmogący (confidence=0.57)

(ChunkerEvaluator) Sentence #34 from 00100636 from sent8

Text  : 8 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #35 from 00100636 from sent9

Text  : Bóg nie zabrania wam być dobroczynnymi i sprawiedliwymi dla tych ,_ którzy przeciw wam nie walczyli ,_ i_ nie wyganiali was z_ waszych siedzib ,_ bo On kocha sprawiedliwie postępujących ._
Tokens: 1__ 2__ 3_______ 4__ 5__ 6____________ 7 8_____________ 9__ 10__ 11 12____ 13_____ 14_ 15_ 16______ 17 18 19_ 20_______ 21_ 22 23_____ 24_____ 25 26 27 28___ 29___________ 30___________ 31

Chunks:
  TruePositive nam [1,1] = Bóg (confidence=0.99)

(ChunkerEvaluator) Sentence #36 from 00100636 from sent10

Text  : 9 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #37 from 00100636 from sent11

Text  : Lecz zakazuje wam wszelkich związków z tymi , którzy wygnali was z_ waszych domów z_ bronią w_ ręku ,_ którzy chcieli zburzyć waszą wiarę ._
Tokens: 1___ 2_______ 3__ 4________ 5_______ 6 7___ 8 9_____ 10_____ 11_ 12 13_____ 14___ 15 16____ 17 18__ 19 20____ 21_____ 22_____ 23___ 24___ 25

Chunks:

(ChunkerEvaluator) Sentence #38 from 00100636 from sent12

Text  : Zabronione wam są także związki z tymi , którzy im pomoc dawali ;_ okazywać im dobroczynność jest to zachęcać ich złe dążności ._
Tokens: 1_________ 2__ 3_ 4____ 5______ 6 7___ 8 9_____ 10 11___ 12____ 13 14______ 15 16___________ 17__ 18 19______ 20_ 21_ 22______ 23

Chunks:

(ChunkerEvaluator) Sentence #39 from 00100636 from sent13

Text  : 10 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #40 from 00100636 from sent14

Text  : Wierni !
Tokens: 1_____ 2

Chunks:

(ChunkerEvaluator) Sentence #41 from 00100636 from sent15

Text  : gdy niewiasty wierne przybędą do was szukając między wami przytułku ,_ doświadczcie onych próbą czy rzeczywiście wyznają Islam ;_ nie wydawajcie ich niewiernym małżonkom ._
Tokens: 1__ 2________ 3_____ 4_______ 5_ 6__ 7_______ 8_____ 9___ 10_______ 11 12__________ 13___ 14___ 15_ 16__________ 17_____ 18___ 19 20_ 21________ 22_ 23________ 24_______ 25

Chunks:
  FalsePositive nam [18,18] = Islam (confidence=0.90) (incorrect boundry)

(ChunkerEvaluator) Sentence #42 from 00100636 from sent16

Text  : Niebo zabrania podobnych związków , a obowiązani jesteście oddać posag który im mężowie ich przeznaczyli ._
Tokens: 1____ 2_______ 3________ 4_______ 5 6 7_________ 8________ 9____ 10___ 11___ 12 13_____ 14_ 15__________ 16

Chunks:

(ChunkerEvaluator) Sentence #43 from 00100636 from sent17

Text  : Wolno wam żenić się z niemi , byleście ich przyzwoicie wyposażali ._
Tokens: 1____ 2__ 3____ 4__ 5 6____ 7 8_______ 9__ 10_________ 11________ 12

Chunks:

(ChunkerEvaluator) Sentence #44 from 00100636 from sent18

Text  : Niewiasty niewiernej trzymać wam nie wolno , lecz macie prawo domagać się od niej tego coście jej dali podług umowy ;_ bo i_ niewierni będą od was żądać to co im dali przed odejściem do was ._
Tokens: 1________ 2_________ 3______ 4__ 5__ 6____ 7 8___ 9____ 10___ 11_____ 12_ 13 14__ 15__ 16____ 17_ 18__ 19____ 20___ 21 22 23 24_______ 25__ 26 27_ 28___ 29 30 31 32__ 33___ 34_______ 35 36_ 37

Chunks:

(ChunkerEvaluator) Sentence #45 from 00100636 from sent19

Text  : Prawo to jest powszechne , dane z nieba ; Bóg daje te przykazania ,_ bo On jest wszystko widzący i_ mądry ._
Tokens: 1____ 2_ 3___ 4_________ 5 6___ 7 8____ 9 10_ 11__ 12 13_________ 14 15 16 17__ 18______ 19_____ 20 21___ 22

Chunks:
  TruePositive nam [10,10] = Bóg (confidence=0.96)

(ChunkerEvaluator) Sentence #46 from 00100636 from sent20

Text  : 11 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #47 from 00100636 from sent21

Text  : Jeżeli którakolwiek z żon waszych , uciecze do bałwochwalców :_ daj mężowi taką część z_ zabranych łupów wojennych jaką on dał swej żonie ._
Tokens: 1_____ 2___________ 3 4__ 5______ 6 7______ 8_ 9____________ 10 11_ 12____ 13__ 14___ 15 16_______ 17___ 18_______ 19__ 20 21_ 22__ 23___ 24

Chunks:

(ChunkerEvaluator) Sentence #48 from 00100636 from sent22

Text  : Bójcie się Pana którego świętą wiarę wyznajecie .
Tokens: 1_____ 2__ 3___ 4______ 5_____ 6____ 7_________ 8

Chunks:
  FalseNegative nam [3,3] = Pana

(ChunkerEvaluator) Sentence #49 from 00100636 from sent23

Text  : 12 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #50 from 00100636 from sent24

Text  : Proroku !
Tokens: 1______ 2

Chunks:

(ChunkerEvaluator) Sentence #51 from 00100636 from sent25

Text  : jeżeli niewiasty wierne przyjdą do ciebie prosić przytułku , i_ przyrzekną pod przysięgą ,_ iż będą unikały bałwochwalstwa ,_ że nie będą łaknęły cudzego dobra ,_ a_ strzegły się cudzołoztwa ,_ że nie będą zabijały swych dzieci ,_ i_ że we wszelkiej sprawiedliwości będą ci posłuszne ,_ przyjmij je do swej wiary ,_ i_ proś za niemi Boga ,_ On jest litościwy i_ miłosierny ._
Tokens: 1_____ 2________ 3_____ 4______ 5_ 6_____ 7_____ 8________ 9 10 11________ 12_ 13_______ 14 15 16__ 17_____ 18____________ 19 20 21_ 22__ 23_____ 24_____ 25___ 26 27 28______ 29_ 30_________ 31 32 33_ 34__ 35______ 36___ 37____ 38 39 40 41 42_______ 43_____________ 44__ 45 46_______ 47 48______ 49 50 51__ 52___ 53 54 55__ 56 57___ 58__ 59 60 61__ 62_______ 63 64________ 65

Chunks:
  TruePositive nam [58,58] = Boga (confidence=1.00)

(ChunkerEvaluator) Sentence #52 from 00100636 from sent26

Text  : 13 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #53 from 00100636 from sent27

Text  : Wierni !
Tokens: 1_____ 2

Chunks:

(ChunkerEvaluator) Sentence #54 from 00100636 from sent28

Text  : nie miejcie żadnych związków z tymi , na których spadł gniew Boski ;_ oni rozpaczają o_ życiu przyszłem ,_ tak jak rozpaczali niewierni ,_ którzy są już w_ grobie ._
Tokens: 1__ 2______ 3______ 4_______ 5 6___ 7 8_ 9______ 10___ 11___ 12___ 13 14_ 15________ 16 17___ 18_______ 19 20_ 21_ 22________ 23_______ 24 25____ 26 27_ 28 29____ 30

Chunks:
  FalsePositive nam [12,12] = Boski (confidence=0.64) (incorrect boundry)

2017-06-14 20:16:55,571 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100639.xml
(ChunkerEvaluator) Sentence #55 from 00100639 from sent1

Text  : 57 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #56 from 00100639 from sent2

Text  : Wypędźmy Lota i jego rodzinę z miasta , bo oni czystość zachowują ;_ taką była odpowiedź mieszkańców Sodomy ._
Tokens: 1_______ 2___ 3 4___ 5______ 6 7_____ 8 9_ 10_ 11______ 12_______ 13 14__ 15__ 16_______ 17_________ 18____ 19

Chunks:
  TruePositive nam [2,2] = Lota (confidence=0.99)
  TruePositive nam [18,18] = Sodomy (confidence=0.99)

(ChunkerEvaluator) Sentence #57 from 00100639 from sent3

Text  : 58 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #58 from 00100639 from sent4

Text  : Wybawił em Lota i jego rodzinę ; tylko żona jego ,_ powszechną karą została dotkniętą ._
Tokens: 1______ 2_ 3___ 4 5___ 6______ 7 8____ 9___ 10__ 11 12________ 13__ 14_____ 15_______ 16

Chunks:
  TruePositive nam [3,3] = Lota (confidence=1.00)

(ChunkerEvaluator) Sentence #59 from 00100639 from sent5

Text  : 59 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #60 from 00100639 from sent6

Text  : Kara nastąpiła po moich przestrogach ; deszcz kamienny na występnych spuścił em ._
Tokens: 1___ 2________ 3_ 4____ 5___________ 6 7_____ 8_______ 9_ 10________ 11_____ 12 13

Chunks:
  FalsePositive nam [1,1] = Kara (confidence=0.86) (incorrect boundry)

(ChunkerEvaluator) Sentence #61 from 00100639 from sent7

Text  : 60 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #62 from 00100639 from sent8

Text  : Mów : chwała niech będzie Bogu !
Tokens: 1__ 2 3_____ 4____ 5_____ 6___ 7

Chunks:
  TruePositive nam [6,6] = Bogu (confidence=1.00)

(ChunkerEvaluator) Sentence #63 from 00100639 from sent9

Text  : pokój Jego wybranym !
Tokens: 1____ 2___ 3_______ 4

Chunks:

(ChunkerEvaluator) Sentence #64 from 00100639 from sent10

Text  : Któż zasłużył na pierwszeństwo .
Tokens: 1___ 2_______ 3_ 4____________ 5

Chunks:

(ChunkerEvaluator) Sentence #65 from 00100639 from sent11

Text  : Bóg , czy bałwany ?
Tokens: 1__ 2 3__ 4______ 5

Chunks:
  TruePositive nam [1,1] = Bóg (confidence=0.86)

(ChunkerEvaluator) Sentence #66 from 00100639 from sent12

Text  : 61 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #67 from 00100639 from sent13

Text  : On to stworzył niebo i ziemię , On wylewa deszcz na wasze pola ;_ daje wzrost roślinom ,_ ozdobom waszych ogrodów ._
Tokens: 1_ 2_ 3_______ 4____ 5 6_____ 7 8_ 9_____ 10____ 11 12___ 13__ 14 15__ 16____ 17______ 18 19_____ 20_____ 21_____ 22

Chunks:

(ChunkerEvaluator) Sentence #68 from 00100639 from sent14

Text  : Czyż mogli by ście stworzyć choć jedno drzewo ?
Tokens: 1___ 2____ 3_ 4___ 5_______ 6___ 7____ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #69 from 00100639 from sent15

Text  : Czyż Bóg ma równego sobie ?
Tokens: 1___ 2__ 3_ 4______ 5____ 6

Chunks:
  TruePositive nam [2,2] = Bóg (confidence=1.00)

(ChunkerEvaluator) Sentence #70 from 00100639 from sent16

Text  : a jednak do czci Jego fałszywe bóstwa mieszacie .
Tokens: 1 2_____ 3_ 4___ 5___ 6_______ 7_____ 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #71 from 00100639 from sent17

Text  : 62 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #72 from 00100639 from sent18

Text  : Któż jest ten , który umocnił ziemię , który umieścił w_ jej łonie źródła rzek ,_ a_ na jej powierzchni powynosił góry ,_ i_ pomiędzy dwoma morzami położył nieprzebyte tamy ?_
Tokens: 1___ 2___ 3__ 4 5____ 6______ 7_____ 8 9____ 10______ 11 12_ 13___ 14____ 15__ 16 17 18 19_ 20_________ 21_______ 22__ 23 24 25______ 26___ 27_____ 28_____ 29_________ 30__ 31

Chunks:

(ChunkerEvaluator) Sentence #73 from 00100639 from sent19

Text  : Czyż może mieć równego sobie ?
Tokens: 1___ 2___ 3___ 4______ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #74 from 00100639 from sent20

Text  : większa część ludzi pogrążona jest w nieświadomości .
Tokens: 1______ 2____ 3____ 4________ 5___ 6 7_____________ 8

Chunks:

(ChunkerEvaluator) Sentence #75 from 00100639 from sent21

Text  : 63 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #76 from 00100639 from sent22

Text  : Któż jest ten , który zadość czyni modłom żebrzących w_ uniesieniu ?_
Tokens: 1___ 2___ 3__ 4 5____ 6_____ 7____ 8_____ 9_________ 10 11________ 12

Chunks:

(ChunkerEvaluator) Sentence #77 from 00100639 from sent23

Text  : który z nich ciężar zdejmuje , a was potworzył na miejsce wygasłych pokoleń ?_
Tokens: 1____ 2 3___ 4_____ 5_______ 6 7 8__ 9________ 10 11_____ 12_______ 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #78 from 00100639 from sent24

Text  : Czyż ma równego sobie ?
Tokens: 1___ 2_ 3______ 4____ 5

Chunks:

(ChunkerEvaluator) Sentence #79 from 00100639 from sent25

Text  : jakże mało rozważacie .
Tokens: 1____ 2___ 3_________ 4

Chunks:

(ChunkerEvaluator) Sentence #80 from 00100639 from sent26

Text  : 64 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #81 from 00100639 from sent27

Text  : Któż jest ten , który was pośród ciemności po morzach i_ ziemi prowadzi ,_ który posyła obłoki jak gońców łask niebieskich ?_
Tokens: 1___ 2___ 3__ 4 5____ 6__ 7_____ 8________ 9_ 10_____ 11 12___ 13______ 14 15___ 16____ 17____ 18_ 19____ 20__ 21_________ 22

Chunks:

(ChunkerEvaluator) Sentence #82 from 00100639 from sent28

Text  : Czyż może mieć równego sobie ?
Tokens: 1___ 2___ 3___ 4______ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #83 from 00100639 from sent29

Text  : Chwała niech będzie Najwyższemu !
Tokens: 1_____ 2____ 3_____ 4__________ 5

Chunks:
  TruePositive nam [4,4] = Najwyższemu (confidence=0.95)

(ChunkerEvaluator) Sentence #84 from 00100639 from sent30

Text  : przekleństwo bałwanom !
Tokens: 1___________ 2_______ 3

Chunks:

(ChunkerEvaluator) Sentence #85 from 00100639 from sent31

Text  : 65 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #86 from 00100639 from sent32

Text  : Któż jest ten , który stworzył człowieka , i który go wskrzesi ,_ który go karmi darami niebios i_ ziemi ?_
Tokens: 1___ 2___ 3__ 4 5____ 6_______ 7________ 8 9 10___ 11 12______ 13 14___ 15 16___ 17____ 18_____ 19 20___ 21

Chunks:

(ChunkerEvaluator) Sentence #87 from 00100639 from sent33

Text  : Czyż ma Bóg równego sobie ?
Tokens: 1___ 2_ 3__ 4______ 5____ 6

Chunks:
  TruePositive nam [3,3] = Bóg (confidence=0.99)

(ChunkerEvaluator) Sentence #88 from 00100639 from sent34

Text  : okażcie dowody jeśli prawda jest przewodnikiem waszym .
Tokens: 1______ 2_____ 3____ 4_____ 5___ 6____________ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #89 from 00100639 from sent35

Text  : Powiedz im :
Tokens: 1______ 2_ 3

Chunks:

(ChunkerEvaluator) Sentence #90 from 00100639 from sent36

Text  : 66 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #91 from 00100639 from sent37

Text  : Nikt prócz Boga nie zna tajemnic nieba i ziemi ._
Tokens: 1___ 2____ 3___ 4__ 5__ 6_______ 7____ 8 9____ 10

Chunks:
  TruePositive nam [3,3] = Boga (confidence=1.00)

(ChunkerEvaluator) Sentence #92 from 00100639 from sent38

Text  : Ludziom zakryte jest zasłoną
Tokens: 1______ 2______ 3___ 4______

Chunks:

(ChunkerEvaluator) Sentence #93 from 00100639 from sent39

Text  : 67 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #94 from 00100639 from sent40

Text  : Kiedy zmartwychwstaną .
Tokens: 1____ 2______________ 3

Chunks:

(ChunkerEvaluator) Sentence #95 from 00100639 from sent41

Text  : 68 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #96 from 00100639 from sent42

Text  : Uświadomieni są o życiu przyszłem ; lecz wątpią o tym ,_ i_ zamykają oczy by nie widzieć tego widoku ._
Tokens: 1___________ 2_ 3 4____ 5________ 6 7___ 8_____ 9 10_ 11 12 13______ 14__ 15 16_ 17_____ 18__ 19____ 20

Chunks:

(ChunkerEvaluator) Sentence #97 from 00100639 from sent43

Text  : 69 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #98 from 00100639 from sent44

Text  : Niewierni mówią : gdy grób połączy prochy nasze , z_ prochami ojców naszych ,_ byćże to może ,_ aby śmy na nowo odżyli ?_
Tokens: 1________ 2____ 3 4__ 5___ 6______ 7_____ 8____ 9 10 11______ 12___ 13_____ 14 15___ 16 17__ 18 19_ 20_ 21 22__ 23____ 24

Chunks:

(ChunkerEvaluator) Sentence #99 from 00100639 from sent45

Text  : 70 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #100 from 00100639 from sent46

Text  : Ta obietnica , którą nam pochlebiają i którą łudzono ojców naszych ,_ jest tylko starożytną bajką ._
Tokens: 1_ 2________ 3 4____ 5__ 6__________ 7 8____ 9______ 10___ 11_____ 12 13__ 14___ 15________ 16___ 17

Chunks:

(ChunkerEvaluator) Sentence #101 from 00100639 from sent47

Text  : Powiedz im :
Tokens: 1______ 2_ 3

Chunks:

(ChunkerEvaluator) Sentence #102 from 00100639 from sent48

Text  : 71 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #103 from 00100639 from sent49

Text  : Przebiegnijcie ziemię , a zobaczycie jaki był koniec przewrotnych i_ bezbożnych ._
Tokens: 1_____________ 2_____ 3 4 5_________ 6___ 7__ 8_____ 9___________ 10 11________ 12

Chunks:

(ChunkerEvaluator) Sentence #104 from 00100639 from sent50

Text  : 72 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #105 from 00100639 from sent51

Text  : Niech cię los ich nie obchodzi , nie lękaj się spisków ._
Tokens: 1____ 2__ 3__ 4__ 5__ 6_______ 7 8__ 9____ 10_ 11_____ 12

Chunks:

2017-06-14 20:16:55,677 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101172.xml
(ChunkerEvaluator) Sentence #106 from 00101172 from sent1

Text  : Teatr wojny
Tokens: 1____ 2____

Chunks:

(ChunkerEvaluator) Sentence #107 from 00101172 from sent2

Text  : Teatr wojny – terytorium kontynentów lub jednego kontynentu wraz z_ oceanami (_ morzami )_ sąsiadującymi i_ przestrzenią powietrzną nad nimi ,_ na których mogą być rozwijane lub są prowadzone działania wojenne oddzielnych wrogich państw albo koalicji państw ._
Tokens: 1____ 2____ 3 4_________ 5__________ 6__ 7______ 8_________ 9___ 10 11______ 12 13_____ 14 15___________ 16 17__________ 18________ 19_ 20__ 21 22 23_____ 24__ 25_ 26_______ 27_ 28 29________ 30_______ 31_____ 32_________ 33_____ 34____ 35__ 36______ 37____ 38

Chunks:

(ChunkerEvaluator) Sentence #108 from 00101172 from sent3

Text  : Np . w II wojnie światowej działania wojenne obejmowały Teatr Europejski z_ Oceanem Atlantyckim oraz Teatr Północnoafrykański ,_ natomiast w_ 1945 ,_ po zakończeniu wojny w_ Europie ,_ działania przeniosły się na Teatr Azji Dalekowschodniej i_ Ocean Spokojny ._
Tokens: 1_ 2 3 4_ 5_____ 6________ 7________ 8______ 9_________ 10___ 11________ 12 13_____ 14_________ 15__ 16___ 17________________ 18 19_______ 20 21__ 22 23 24_________ 25___ 26 27_____ 28 29_______ 30________ 31_ 32 33___ 34__ 35______________ 36 37___ 38______ 39

Chunks:
  TruePositive nam [4,6] = II wojnie światowej (confidence=1.00)
  TruePositive nam [10,11] = Teatr Europejski (confidence=0.99)
  TruePositive nam [13,14] = Oceanem Atlantyckim (confidence=0.94)
  TruePositive nam [16,17] = Teatr Północnoafrykański (confidence=1.00)
  TruePositive nam [27,27] = Europie (confidence=0.99)
  TruePositive nam [37,38] = Ocean Spokojny (confidence=0.99)
  FalsePositive nam [33,35] = Teatr Azji Dalekowschodniej (confidence=1.00) (incorrect boundry)
  FalseNegative nam [34,35] = Azji Dalekowschodniej

(ChunkerEvaluator) Sentence #109 from 00101172 from sent4

Text  : W skład TW może wchodzić kilka teatrów działań wojennych wraz ze strefami wewnętrznymi przeciwnych stron ._
Tokens: 1 2____ 3_ 4___ 5_______ 6____ 7______ 8______ 9________ 10__ 11 12______ 13__________ 14_________ 15___ 16

Chunks:
  TruePositive nam [3,3] = TW (confidence=1.00)

(ChunkerEvaluator) Sentence #110 from 00101172 from sent5

Text  : Według podziału przyjętego w NATO Europejski Teatr Wojny dzieli się na Północnoeuropejski ,_ Środkowoeuropejski i_ Południowoeuropejski ._
Tokens: 1_____ 2_______ 3_________ 4 5___ 6_________ 7____ 8____ 9_____ 10_ 11 12________________ 13 14________________ 15 16__________________ 17

Chunks:
  TruePositive nam [12,12] = Północnoeuropejski (confidence=0.91)
  TruePositive nam [14,14] = Środkowoeuropejski (confidence=0.99)
  TruePositive nam [16,16] = Południowoeuropejski (confidence=0.79)
  FalsePositive nam [5,8] = NATO Europejski Teatr Wojny (confidence=1.00) (incorrect boundry)
  FalseNegative nam [5,5] = NATO
  FalseNegative nam [6,8] = Europejski Teatr Wojny

(ChunkerEvaluator) Sentence #111 from 00101172 from sent6

Text  : Jeśli działania wojenne rozwijają się na ograniczonych przestrzeniach i noszą charakter lokalny terytorium TW może być tożsame TDW ._
Tokens: 1____ 2________ 3______ 4________ 5__ 6_ 7____________ 8_____________ 9 10___ 11_______ 12_____ 13________ 14 15__ 16_ 17_____ 18_ 19

Chunks:
  TruePositive nam [14,14] = TW (confidence=1.00)
  TruePositive nam [18,18] = TDW (confidence=0.96)

(ChunkerEvaluator) Sentence #112 from 00101172 from sent7

Text  : Według kryteriów sowieckich Europa stanowiła teatr działań wojennych podzielony na trzy kierunki strategiczne ._
Tokens: 1_____ 2________ 3_________ 4_____ 5________ 6____ 7______ 8________ 9_________ 10 11__ 12______ 13__________ 14

Chunks:
  TruePositive nam [4,4] = Europa (confidence=1.00)

2017-06-14 20:16:55,720 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 7 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101260.xml
(ChunkerEvaluator) Sentence #113 from 00101260 from sent1

Text  : Iskra
Tokens: 1____

Chunks:

(ChunkerEvaluator) Sentence #114 from 00101260 from sent2

Text  : Iskra - odmiana wyładowania elektrycznego w atmosferze lub innym gazie o_ podobnym ciśnieniu lub cieczy ._
Tokens: 1____ 2 3______ 4__________ 5____________ 6 7_________ 8__ 9____ 10___ 11 12______ 13_______ 14_ 15____ 16

Chunks:
  FalsePositive nam [1,1] = Iskra (confidence=0.90) (incorrect boundry)

(ChunkerEvaluator) Sentence #115 from 00101260 from sent3

Text  : Iskra elektryczna od łuku elektrycznego różni się dużym oporem elektrycznym kanału przewodzącego ._
Tokens: 1____ 2__________ 3_ 4___ 5____________ 6____ 7__ 8____ 9_____ 10__________ 11____ 12___________ 13

Chunks:

(ChunkerEvaluator) Sentence #116 from 00101260 from sent4

Text  : Ze względu na własności fizyczne iskrę elektryczną można podzielić na :_
Tokens: 1_ 2______ 3_ 4________ 5_______ 6____ 7__________ 8____ 9________ 10 11

Chunks:

(ChunkerEvaluator) Sentence #117 from 00101260 from sent5

Text  : iskrę krótką
Tokens: 1____ 2_____

Chunks:

(ChunkerEvaluator) Sentence #118 from 00101260 from sent6

Text  : iskrę długą
Tokens: 1____ 2____

Chunks:

(ChunkerEvaluator) Sentence #119 from 00101260 from sent7

Text  : Specyficzną odmianą iskry jest tak zwana iskra ślizgowa , czyli wyładowanie elektryczne po powierzchni izolatora ._
Tokens: 1__________ 2______ 3____ 4___ 5__ 6____ 7____ 8_______ 9 10___ 11_________ 12_________ 13 14_________ 15_______ 16

Chunks:

(ChunkerEvaluator) Sentence #120 from 00101260 from sent8

Text  : Spektakularną odmianą iskry jest piorun .
Tokens: 1____________ 2______ 3____ 4___ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #121 from 00101260 from sent9

Text  : Iskrą nazywa się również gorący , rozgrzany do czerwoności opiłek metalu lub innego materiału ,_ powstały podczas szlifowania ,_ piłowania bądź frezowania ._
Tokens: 1____ 2_____ 3__ 4______ 5_____ 6 7________ 8_ 9__________ 10____ 11____ 12_ 13____ 14_______ 15 16______ 17_____ 18_________ 19 20_______ 21__ 22________ 23

Chunks:

(ChunkerEvaluator) Sentence #122 from 00101260 from sent10

Text  : Opiłki nie ulegają spalaniu , tylko emitują światło widzialne pod wpływem przekazanej im energii cieplnej podczas obróbki materiału ._
Tokens: 1_____ 2__ 3______ 4_______ 5 6____ 7______ 8______ 9________ 10_ 11_____ 12_________ 13 14_____ 15______ 16_____ 17_____ 18_______ 19

Chunks:

(ChunkerEvaluator) Sentence #123 from 00101260 from sent11

Text  : Iskry powstają również podczas spalania materiałów palnych , kiedy mikroskopijnej wielkości drobinki materii ulegają spalaniu ,_ łacząc się z_ tlenem ._
Tokens: 1____ 2_______ 3______ 4______ 5_______ 6_________ 7______ 8 9____ 10____________ 11_______ 12______ 13_____ 14_____ 15______ 16 17____ 18_ 19 20____ 21

Chunks:

(ChunkerEvaluator) Sentence #124 from 00101260 from sent12

Text  : Podczas powstawania nowych wiązań chemicznych , nadmiar energii zostaje wypromieniowany w_ postaci energii elektromagnetycznej ._
Tokens: 1______ 2__________ 3_____ 4_____ 5__________ 6 7______ 8______ 9______ 10_____________ 11 12_____ 13_____ 14_________________ 15

Chunks:

2017-06-14 20:16:55,761 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 8 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101297.xml
(ChunkerEvaluator) Sentence #125 from 00101297 from sent1

Text  : Giuseppe Abbagnale
Tokens: 1_______ 2________

Chunks:
  TruePositive nam [1,2] = Giuseppe Abbagnale (confidence=1.00)

(ChunkerEvaluator) Sentence #126 from 00101297 from sent2

Text  : Giuseppe Abbagnale ( ur . 24 lipca 1959 w Pompejach )_ –_ włoski wioślarz ._
Tokens: 1_______ 2________ 3 4_ 5 6_ 7____ 8___ 9 10_______ 11 12 13____ 14______ 15

Chunks:
  TruePositive nam [1,2] = Giuseppe Abbagnale (confidence=1.00)
  TruePositive nam [10,10] = Pompejach (confidence=0.98)

(ChunkerEvaluator) Sentence #127 from 00101297 from sent3

Text  : Trzykrotny medalista olimpijski .
Tokens: 1_________ 2________ 3_________ 4

Chunks:

(ChunkerEvaluator) Sentence #128 from 00101297 from sent4

Text  : Pływał w osadzie tworzonej ponadto przez swego brata Carmine i_ sternika Giuseppe di Capua ._
Tokens: 1_____ 2 3______ 4________ 5______ 6____ 7____ 8____ 9______ 10 11______ 12______ 13 14___ 15

Chunks:
  TruePositive nam [9,9] = Carmine (confidence=1.00)
  FalsePositive nam [12,12] = Giuseppe (confidence=1.00) (incorrect boundry)
  FalsePositive nam [14,14] = Capua (confidence=0.61) (incorrect boundry)
  FalseNegative nam [12,14] = Giuseppe di Capua

(ChunkerEvaluator) Sentence #129 from 00101297 from sent5

Text  : Wspólnie na trzech igrzyskach stawali na podium , w Los Angeles oraz Seulu zwyciężając ,_ a_ w_ Barcelonie zajmując drugie miejsce ._
Tokens: 1_______ 2_ 3_____ 4_________ 5______ 6_ 7_____ 8 9 10_ 11_____ 12__ 13___ 14_________ 15 16 17 18________ 19______ 20____ 21_____ 22

Chunks:
  TruePositive nam [10,11] = Los Angeles (confidence=1.00)
  TruePositive nam [13,13] = Seulu (confidence=1.00)
  TruePositive nam [18,18] = Barcelonie (confidence=1.00)

(ChunkerEvaluator) Sentence #130 from 00101297 from sent6

Text  : Także na mistrzostwach świata wywalczyli szereg medali , w tym siedem złotych (_ 1981 ,_ 1982 ,_ 1985 ,_ 1987 ,_ 1989 ,_ 1990 ,_ 1991 )_ ._
Tokens: 1____ 2_ 3____________ 4_____ 5_________ 6_____ 7_____ 8 9 10_ 11____ 12_____ 13 14__ 15 16__ 17 18__ 19 20__ 21 22__ 23 24__ 25 26__ 27 28

Chunks:
  FalsePositive nam [12,12] = złotych (confidence=0.90) (incorrect boundry)
  FalseNegative nam [3,4] = mistrzostwach świata

2017-06-14 20:16:55,785 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 9 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101311.xml
(ChunkerEvaluator) Sentence #131 from 00101311 from sent1

Text  : Catalogue of Star Clusters and Associations
Tokens: 1________ 2_ 3___ 4_______ 5__ 6___________

Chunks:
  TruePositive nam [1,6] = Catalogue of Star Clusters and Associations (confidence=0.98)

(ChunkerEvaluator) Sentence #132 from 00101311 from sent2

Text  : Catalogue of Star Clusters and Associations ( Katalog gromad gwiazd oraz asocjacji )_ –_ katalog astronomiczny obiektów gwiazdowych ._
Tokens: 1________ 2_ 3___ 4_______ 5__ 6___________ 7 8______ 9_____ 10____ 11__ 12_______ 13 14 15_____ 16___________ 17______ 18_________ 19

Chunks:
  TruePositive nam [1,6] = Catalogue of Star Clusters and Associations (confidence=0.98)
  TruePositive nam [8,12] = Katalog gromad gwiazd oraz asocjacji (confidence=0.59)

(ChunkerEvaluator) Sentence #133 from 00101311 from sent3

Text  : Katalog ten został zestawiony w 1958 roku w Pradze przez Georga Altera ,_ J_ ._ Ruprechta i_ V_ ._ Vanýska ._
Tokens: 1______ 2__ 3_____ 4_________ 5 6___ 7___ 8 9_____ 10___ 11____ 12____ 13 14 15 16_______ 17 18 19 20_____ 21

Chunks:
  TruePositive nam [9,9] = Pradze (confidence=1.00)
  TruePositive nam [11,12] = Georga Altera (confidence=1.00)
  TruePositive nam [14,16] = J . Ruprechta (confidence=1.00)
  TruePositive nam [18,20] = V . Vanýska (confidence=0.97)

(ChunkerEvaluator) Sentence #134 from 00101311 from sent4

Text  : Obiekty katalogu są oznaczone jako OCl + numer katalogowy ,_ np ._ OCl 168 ,_ OCl 829 lub OCl 1028 ._
Tokens: 1______ 2_______ 3_ 4________ 5___ 6__ 7 8____ 9_________ 10 11 12 13_ 14_ 15 16_ 17_ 18_ 19_ 20__ 21

Chunks:
  FalsePositive nam [6,6] = OCl (confidence=0.97) (incorrect boundry)
  FalsePositive nam [13,13] = OCl (confidence=0.99) (incorrect boundry)
  FalsePositive nam [16,17] = OCl 829 (confidence=0.99) (incorrect boundry)
  FalsePositive nam [19,20] = OCl 1028 (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #135 from 00101311 from sent5

Text  : Katalog ten zawiera 1039 gromad otwartych , 5 gromad ruchomych ,_ 11 grup gwiazd ,_ 70 asocjacji OB ,_ 125 gromad kulistych oraz 28 systemów obiektów pozagalaktycznych (_ głównie gromad gwiazd i_ asocjacji )_ ._
Tokens: 1______ 2__ 3______ 4___ 5_____ 6________ 7 8 9_____ 10_______ 11 12 13__ 14____ 15 16 17_______ 18 19 20_ 21____ 22_______ 23__ 24 25______ 26______ 27_______________ 28 29_____ 30____ 31____ 32 33_______ 34 35

Chunks:
  FalsePositive nam [18,18] = OB (confidence=0.84) (incorrect boundry)

(ChunkerEvaluator) Sentence #136 from 00101311 from sent6

Text  : Drugie wydanie katalogu zostało zestawione w 1970 roku w Budapeszcie przez Georga Altera ,_ Belę Balazsa i_ J_ ._ Ruprechta ._
Tokens: 1_____ 2______ 3_______ 4______ 5_________ 6 7___ 8___ 9 10_________ 11___ 12____ 13____ 14 15__ 16_____ 17 18 19 20_______ 21

Chunks:
  TruePositive nam [10,10] = Budapeszcie (confidence=1.00)
  TruePositive nam [12,13] = Georga Altera (confidence=1.00)
  TruePositive nam [15,16] = Belę Balazsa (confidence=1.00)
  TruePositive nam [18,20] = J . Ruprechta (confidence=0.99)

2017-06-14 20:16:55,816 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 10 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101318.xml
(ChunkerEvaluator) Sentence #137 from 00101318 from sent1

Text  : Luigi Cadorna
Tokens: 1____ 2______

Chunks:
  TruePositive nam [1,2] = Luigi Cadorna (confidence=1.00)

(ChunkerEvaluator) Sentence #138 from 00101318 from sent2

Text  : Luigi Cadorna ( ur . 4 września 1850 , zm ._ 21 grudnia 1928 )_ -_ generał włoski ._
Tokens: 1____ 2______ 3 4_ 5 6 7_______ 8___ 9 10 11 12 13_____ 14__ 15 16 17_____ 18____ 19

Chunks:
  TruePositive nam [1,2] = Luigi Cadorna (confidence=1.00)

(ChunkerEvaluator) Sentence #139 from 00101318 from sent3

Text  : W 1914 szef Sztabu Generalnego Armii Włoskiej .
Tokens: 1 2___ 3___ 4_____ 5__________ 6____ 7_______ 8

Chunks:
  FalsePositive nam [4,7] = Sztabu Generalnego Armii Włoskiej (confidence=1.00) (incorrect boundry)
  FalseNegative nam [4,5] = Sztabu Generalnego
  FalseNegative nam [6,7] = Armii Włoskiej

(ChunkerEvaluator) Sentence #140 from 00101318 from sent4

Text  : W latach 1915 - 1917 głównodowodzący armii włoskiej podczas I_ wojny światowej ._
Tokens: 1 2_____ 3___ 4 5___ 6______________ 7____ 8_______ 9______ 10 11___ 12_______ 13

Chunks:
  TruePositive nam [10,12] = I wojny światowej (confidence=1.00)

(ChunkerEvaluator) Sentence #141 from 00101318 from sent5

Text  : W 1915 po przystąpieniu Włoch do wojny zorganizował kilka ofensyw przeciwko Austriakom ,_ wykorzystując olbrzymią przewagę liczebną nad przeciwnikiem ._
Tokens: 1 2___ 3_ 4____________ 5____ 6_ 7____ 8___________ 9____ 10_____ 11_______ 12________ 13 14___________ 15_______ 16______ 17______ 18_ 19___________ 20

Chunks:
  TruePositive nam [5,5] = Włoch (confidence=1.00)
  TruePositive nam [12,12] = Austriakom (confidence=0.99)

(ChunkerEvaluator) Sentence #142 from 00101318 from sent6

Text  : Początkowo przy granicy z Austro - Węgrami dysponował około 400 tysiącami ludzi ,_ a_ w_ tym czasie armia austriacka liczyła 80 tysięcy ludzi ._
Tokens: 1_________ 2___ 3______ 4 5_____ 6 7______ 8_________ 9____ 10_ 11_______ 12___ 13 14 15 16_ 17____ 18___ 19________ 20_____ 21 22_____ 23___ 24

Chunks:
  TruePositive nam [5,7] = Austro - Węgrami (confidence=1.00)

(ChunkerEvaluator) Sentence #143 from 00101318 from sent7

Text  : Z biegiem czasu te proporcje zaczęły zmieniać się na korzyść Austro -_ Węgier ._
Tokens: 1 2______ 3____ 4_ 5________ 6______ 7_______ 8__ 9_ 10_____ 11____ 12 13____ 14

Chunks:
  TruePositive nam [11,13] = Austro - Węgier (confidence=1.00)

(ChunkerEvaluator) Sentence #144 from 00101318 from sent8

Text  : Od maja 1915 do marca 1916 roku dowodzeni przez gen ._ Cardonę Włosi stoczyli w_ sumie pięć bitew ,_ ale żadna z_ nich nie przyniosła im większego sukcesu ._
Tokens: 1_ 2___ 3___ 4_ 5____ 6___ 7___ 8________ 9____ 10_ 11 12_____ 13___ 14______ 15 16___ 17__ 18___ 19 20_ 21___ 22 23__ 24_ 25________ 26 27_______ 28_____ 29

Chunks:
  FalsePositive nam [12,13] = Cardonę Włosi (confidence=0.99) (incorrect boundry)
  FalseNegative nam [12,12] = Cardonę
  FalseNegative nam [13,13] = Włosi

(ChunkerEvaluator) Sentence #145 from 00101318 from sent9

Text  : Zdołali jedynie opanować nieduże obszary na południe od Trydentu i_ nad Isonzo ._
Tokens: 1______ 2______ 3_______ 4______ 5______ 6_ 7_______ 8_ 9_______ 10 11_ 12____ 13

Chunks:
  TruePositive nam [9,9] = Trydentu (confidence=0.97)
  TruePositive nam [12,12] = Isonzo (confidence=0.87)

(ChunkerEvaluator) Sentence #146 from 00101318 from sent10

Text  : Odpowiedzialny za słabe przygotowanie i słabe uzbrojenie wojsk walczących z_ Austriakami oraz wysokie straty ludzkie ._
Tokens: 1_____________ 2_ 3____ 4____________ 5 6____ 7_________ 8____ 9_________ 10 11_________ 12__ 13_____ 14____ 15_____ 16

Chunks:
  TruePositive nam [11,11] = Austriakami (confidence=0.98)

(ChunkerEvaluator) Sentence #147 from 00101318 from sent11

Text  : Ponadto odpowiedzialny za wiele wyroków śmierci na żołnierzach oskarżonych masowo o_ tchórzostwo i_ rozstrzeliwanych przez plutony egzekucyjne ._
Tokens: 1______ 2_____________ 3_ 4____ 5______ 6______ 7_ 8__________ 9__________ 10____ 11 12_________ 13 14______________ 15___ 16_____ 17_________ 18

Chunks:

(ChunkerEvaluator) Sentence #148 from 00101318 from sent12

Text  : Po klęsce wojsk włoskich w bitwie pod Caporetto w 1917 został zastąpiony przez generała Armando Diaza ._
Tokens: 1_ 2_____ 3____ 4_______ 5 6_____ 7__ 8________ 9 10__ 11____ 12________ 13___ 14______ 15_____ 16___ 17

Chunks:
  TruePositive nam [15,16] = Armando Diaza (confidence=1.00)
  FalsePositive nam [8,8] = Caporetto (confidence=0.57) (incorrect boundry)
  FalseNegative nam [6,8] = bitwie pod Caporetto

(ChunkerEvaluator) Sentence #149 from 00101318 from sent13

Text  : Po dojściu do władzy przez Benito Mussoliniego mianowany marszałkiem w_ 1924 ._
Tokens: 1_ 2______ 3_ 4_____ 5____ 6_____ 7___________ 8________ 9__________ 10 11__ 12

Chunks:
  TruePositive nam [6,7] = Benito Mussoliniego (confidence=1.00)

2017-06-14 20:16:56,337 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 11 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101319.xml
(ChunkerEvaluator) Sentence #150 from 00101319 from sent1

Text  : Saab 96 – model samochodu osobowego , produkowanego przez firmę Saab ,_ w_ latach 1960 -_ 1980 ._
Tokens: 1___ 2_ 3 4____ 5________ 6________ 7 8____________ 9____ 10___ 11__ 12 13 14____ 15__ 16 17__ 18

Chunks:
  TruePositive nam [11,11] = Saab (confidence=1.00)
  FalseNegative nam [1,2] = Saab 96

(ChunkerEvaluator) Sentence #151 from 00101319 from sent2

Text  : Jego odpowiednikiem w wersji kombi był Saab 95 .
Tokens: 1___ 2_____________ 3 4_____ 5____ 6__ 7___ 8_ 9

Chunks:
  TruePositive nam [7,8] = Saab 95 (confidence=1.00)

(ChunkerEvaluator) Sentence #152 from 00101319 from sent3

Text  : W latach 1969 - 1980 model ten powstawał w Uusikaupunki w_ Finlandii ,_ w_ zakładzie firmy Valmet Automotive ,_ w_ której firma Saab miała udziały ._
Tokens: 1 2_____ 3___ 4 5___ 6____ 7__ 8________ 9 10__________ 11 12_______ 13 14 15_______ 16___ 17____ 18________ 19 20 21____ 22___ 23__ 24___ 25_____ 26

Chunks:
  TruePositive nam [10,10] = Uusikaupunki (confidence=1.00)
  TruePositive nam [12,12] = Finlandii (confidence=1.00)
  TruePositive nam [17,18] = Valmet Automotive (confidence=1.00)
  TruePositive nam [23,23] = Saab (confidence=1.00)

(ChunkerEvaluator) Sentence #153 from 00101319 from sent4

Text  : Saab 96
Tokens: 1___ 2_

Chunks:
  FalseNegative nam [1,2] = Saab 96

(ChunkerEvaluator) Sentence #154 from 00101319 from sent5

Text  : Saab 96 , to nie była nowa konstrukcja , lecz liczba i_ jakość zmian ,_ jakie zaszły w_ stosunku do modelu Saab 93 ,_ czyniła z_ tego pojazdu nowy produkt ._
Tokens: 1___ 2_ 3 4_ 5__ 6___ 7___ 8__________ 9 10__ 11____ 12 13____ 14___ 15 16___ 17____ 18 19______ 20 21____ 22__ 23 24 25_____ 26 27__ 28_____ 29__ 30_____ 31

Chunks:
  FalsePositive nam [22,22] = Saab (confidence=0.99) (incorrect boundry)
  FalseNegative nam [1,2] = Saab 96
  FalseNegative nam [22,23] = Saab 93

(ChunkerEvaluator) Sentence #155 from 00101319 from sent6

Text  : Początkowo planowany jako Saab 93c stał się jednak odrębnym modelem ._
Tokens: 1_________ 2________ 3___ 4___ 5__ 6___ 7__ 8_____ 9_______ 10_____ 11

Chunks:
  TruePositive nam [4,5] = Saab 93c (confidence=1.00)

(ChunkerEvaluator) Sentence #156 from 00101319 from sent7

Text  : Zaprezentowano go 17 lutego 1960 roku w Sztokholmie .
Tokens: 1_____________ 2_ 3_ 4_____ 5___ 6___ 7 8__________ 9

Chunks:
  TruePositive nam [8,8] = Sztokholmie (confidence=1.00)

(ChunkerEvaluator) Sentence #157 from 00101319 from sent8

Text  : Główne zmiany stylistyczne dotyczyły tylnej części nadwozia .
Tokens: 1_____ 2_____ 3___________ 4________ 5_____ 6_____ 7_______ 8

Chunks:

(ChunkerEvaluator) Sentence #158 from 00101319 from sent9

Text  : Przednia cześć samochodu była niemal identyczna , jak w modelu Saab 93f ,_ jednak tylna była już zupełnie inna ._
Tokens: 1_______ 2____ 3________ 4___ 5_____ 6_________ 7 8__ 9 10____ 11__ 12_ 13 14____ 15___ 16__ 17_ 18______ 19__ 20

Chunks:
  TruePositive nam [11,12] = Saab 93f (confidence=1.00)

(ChunkerEvaluator) Sentence #159 from 00101319 from sent10

Text  : Boczne tylne szyby zmieniły kształt , stosunkowo mała tylna szyba ,_ zastąpiona została dużą panoramiczną ._
Tokens: 1_____ 2____ 3____ 4_______ 5______ 6 7_________ 8___ 9____ 10___ 11 12________ 13_____ 14__ 15__________ 16

Chunks:

(ChunkerEvaluator) Sentence #160 from 00101319 from sent11

Text  : Tylne błotniki dostosowano do większych , bardziej widocznych tylnych lamp ._
Tokens: 1____ 2_______ 3__________ 4_ 5________ 6 7_______ 8_________ 9______ 10__ 11

Chunks:

(ChunkerEvaluator) Sentence #161 from 00101319 from sent12

Text  : Napęd stanowił nadal dwusuwowy , trzycylindrowy silnik spalinowy , lecz o_ pojemności zwiększonej do 841 cm³ i_ mocy 38 KM ._
Tokens: 1____ 2_______ 3____ 4________ 5 6_____________ 7_____ 8________ 9 10__ 11 12________ 13_________ 14 15_ 16_ 17 18__ 19 20 21

Chunks:

(ChunkerEvaluator) Sentence #162 from 00101319 from sent13

Text  : Nowością była też czterobiegowa skrzynia biegów .
Tokens: 1_______ 2___ 3__ 4____________ 5_______ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #163 from 00101319 from sent14

Text  : W 1964 roku zmieniono przednią część nadwozia , poprzez wkomponowanie szerokiej atrapy chłodnicy ,_ mającej szerokość maski silnika ._
Tokens: 1 2___ 3___ 4________ 5_______ 6____ 7_______ 8 9______ 10___________ 11_______ 12____ 13_______ 14 15_____ 16_______ 17___ 18_____ 19

Chunks:

(ChunkerEvaluator) Sentence #164 from 00101319 from sent15

Text  : W atrapę wkomponowane były okrągłe reflektory .
Tokens: 1 2_____ 3___________ 4___ 5______ 6_________ 7

Chunks:

(ChunkerEvaluator) Sentence #165 from 00101319 from sent16

Text  : Tylna część nie uległa zmianie .
Tokens: 1____ 2____ 3__ 4_____ 5______ 6

Chunks:

(ChunkerEvaluator) Sentence #166 from 00101319 from sent17

Text  : Produkcję modelu 96 z silnikiem dwusuwowym zakończono w 1967 roku ._
Tokens: 1________ 2_____ 3_ 4 5________ 6_________ 7_________ 8 9___ 10__ 11

Chunks:
  FalseNegative nam [3,3] = 96

(ChunkerEvaluator) Sentence #167 from 00101319 from sent18

Text  : Saab 96 V4
Tokens: 1___ 2_ 3_

Chunks:
  FalsePositive nam [3,3] = V4 (confidence=0.49) (incorrect boundry)
  FalseNegative nam [1,3] = Saab 96 V4

(ChunkerEvaluator) Sentence #168 from 00101319 from sent19

Text  : Na rok modelowy 1967 , przygotowano zupełnie nowy silnik ,_ będący w_ rzeczywistości konstrukcją Forda ._
Tokens: 1_ 2__ 3_______ 4___ 5 6___________ 7_______ 8___ 9_____ 10 11____ 12 13____________ 14_________ 15___ 16

Chunks:
  TruePositive nam [15,15] = Forda (confidence=1.00)

(ChunkerEvaluator) Sentence #169 from 00101319 from sent20

Text  : Był to widlasty czterosuwowy , czterocylindrowy silnik spalinowy o pojemności 1498 cm³ i_ mocy 65 KM ._
Tokens: 1__ 2_ 3_______ 4___________ 5 6_______________ 7_____ 8________ 9 10________ 11__ 12_ 13 14__ 15 16 17

Chunks:

(ChunkerEvaluator) Sentence #170 from 00101319 from sent21

Text  : Oprócz Saaba napędzał on też Forda Taunusa 15M .
Tokens: 1_____ 2____ 3_______ 4_ 5__ 6____ 7______ 8__ 9

Chunks:
  TruePositive nam [2,2] = Saaba (confidence=1.00)
  FalsePositive nam [6,8] = Forda Taunusa 15M (confidence=1.00) (incorrect boundry)
  FalseNegative nam [6,7] = Forda Taunusa

(ChunkerEvaluator) Sentence #171 from 00101319 from sent22

Text  : W 1971 roku na rynku amerykańskim zastąpiono silnik 1 ,_ 5_ dm³ większą jednostką V4 o_ pojemności 1699 cm³ i_ mocy 70 KM ,_ z_ Forda Taunusa 17M ._
Tokens: 1 2___ 3___ 4_ 5____ 6___________ 7_________ 8_____ 9 10 11 12_ 13_____ 14_______ 15 16 17________ 18__ 19_ 20 21__ 22 23 24 25 26___ 27_____ 28_ 29

Chunks:
  FalsePositive nam [15,15] = V4 (confidence=0.95) (incorrect boundry)
  FalsePositive nam [26,28] = Forda Taunusa 17M (confidence=1.00) (incorrect boundry)
  FalseNegative nam [26,27] = Forda Taunusa

(ChunkerEvaluator) Sentence #172 from 00101319 from sent23

Text  : W europie nie był on dostępny w tym modelu ._
Tokens: 1 2______ 3__ 4__ 5_ 6_______ 7 8__ 9_____ 10

Chunks:
  FalseNegative nam [2,2] = europie

(ChunkerEvaluator) Sentence #173 from 00101319 from sent24

Text  : W 1969 roku znowu zmieniono pas przedni , tym razem nieznacznie ,_ zmieniając okrągłe reflektory na podłużne ,_ owalne ._
Tokens: 1 2___ 3___ 4____ 5________ 6__ 7______ 8 9__ 10___ 11_________ 12 13________ 14_____ 15________ 16 17______ 18 19____ 20

Chunks:

(ChunkerEvaluator) Sentence #174 from 00101319 from sent25

Text  : Jednocześnie przeniesiono migacze przednie spod reflektorów na błotniki .
Tokens: 1___________ 2___________ 3______ 4_______ 5___ 6__________ 7_ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #175 from 00101319 from sent26

Text  : W 1974 roku zmienił się styl przedniej atrapy , zachowując jednak poprzedni kształt ._
Tokens: 1 2___ 3___ 4______ 5__ 6___ 7________ 8_____ 9 10________ 11____ 12_______ 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #176 from 00101319 from sent27

Text  : Był to jednocześnie ostatni rok , kiedy w Stanach Zjednoczonych oferowano Saaba 96 ._
Tokens: 1__ 2_ 3___________ 4______ 5__ 6 7____ 8 9______ 10___________ 11_______ 12___ 13 14

Chunks:
  TruePositive nam [9,10] = Stanach Zjednoczonych (confidence=1.00)
  TruePositive nam [12,13] = Saaba 96 (confidence=0.99)

(ChunkerEvaluator) Sentence #177 from 00101319 from sent28

Text  : Ostatnie zmiany nastąpiły w 1978 roku , kiedy to znów zmieniono przednie kierunkowskazy ,_ upodabniając je do tych ,_ znanych z_ Saaba 99 oraz powiększono tylne lampy ._
Tokens: 1_______ 2_____ 3________ 4 5___ 6___ 7 8____ 9_ 10__ 11_______ 12______ 13____________ 14 15__________ 16 17 18__ 19 20_____ 21 22___ 23 24__ 25_________ 26___ 27___ 28

Chunks:
  TruePositive nam [22,23] = Saaba 99 (confidence=0.99)

2017-06-14 20:16:56,438 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 12 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101324.xml
(ChunkerEvaluator) Sentence #178 from 00101324 from sent1

Text  : Wojnowiczki
Tokens: 1__________

Chunks:
  TruePositive nam [1,1] = Wojnowiczki (confidence=0.86)

(ChunkerEvaluator) Sentence #179 from 00101324 from sent2

Text  : Wojnowiczki – wieś w Polsce położona w województwie opolskim ,_ w_ powiecie brzeskim ,_ w_ gminie Grodków ._
Tokens: 1__________ 2 3___ 4 5_____ 6_______ 7 8___________ 9_______ 10 11 12______ 13______ 14 15 16____ 17_____ 18

Chunks:
  TruePositive nam [1,1] = Wojnowiczki (confidence=0.99)
  TruePositive nam [5,5] = Polsce (confidence=1.00)
  TruePositive nam [9,9] = opolskim (confidence=1.00)
  TruePositive nam [13,13] = brzeskim (confidence=0.99)
  TruePositive nam [17,17] = Grodków (confidence=1.00)

(ChunkerEvaluator) Sentence #180 from 00101324 from sent3

Text  : W latach 1975 - 1998 miejscowość administracyjnie należała do ówczesnego województwa opolskiego ._
Tokens: 1 2_____ 3___ 4 5___ 6__________ 7_______________ 8_______ 9_ 10________ 11_________ 12________ 13

Chunks:
  TruePositive nam [12,12] = opolskiego (confidence=0.99)

2017-06-14 20:16:56,448 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 13 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101375.xml
(ChunkerEvaluator) Sentence #181 from 00101375 from sent1

Text  : Antonomazja
Tokens: 1__________

Chunks:

(ChunkerEvaluator) Sentence #182 from 00101375 from sent2

Text  : Antonomazja ( łac . pronominatio ) odmiana metonimii , zastąpienie nazwy własnej osoby lub przedmiotu inną nazwą (_ najczęściej epitetem )_ ._
Tokens: 1__________ 2 3__ 4 5___________ 6 7______ 8________ 9 10_________ 11___ 12_____ 13___ 14_ 15________ 16__ 17___ 18 19_________ 20______ 21 22

Chunks:

(ChunkerEvaluator) Sentence #183 from 00101375 from sent3

Text  : godność zamiast nazwiska : wieszcz romantyczny - Mickiewicz
Tokens: 1______ 2______ 3_______ 4 5______ 6__________ 7 8_________

Chunks:
  TruePositive nam [8,8] = Mickiewicz (confidence=0.91)

(ChunkerEvaluator) Sentence #184 from 00101375 from sent4

Text  : określenie zamiast nazwy rzeczy : nauka o języku - językoznawstwo
Tokens: 1_________ 2______ 3____ 4_____ 5 6____ 7 8_____ 9 10____________

Chunks:

(ChunkerEvaluator) Sentence #185 from 00101375 from sent5

Text  : etymologia imienia zamiast imienia : Miły Bogu - Bogumił
Tokens: 1_________ 2______ 3______ 4______ 5 6___ 7___ 8 9______

Chunks:
  TruePositive nam [7,7] = Bogu (confidence=0.76)
  TruePositive nam [9,9] = Bogumił (confidence=0.98)

(ChunkerEvaluator) Sentence #186 from 00101375 from sent6

Text  : nazwa geograficzna zamiast nazwiska : Stagiryta - Arystoteles
Tokens: 1____ 2___________ 3______ 4_______ 5 6________ 7 8__________

Chunks:
  FalsePositive nam [6,8] = Stagiryta - Arystoteles (confidence=0.99) (incorrect boundry)
  FalseNegative nam [6,6] = Stagiryta
  FalseNegative nam [8,8] = Arystoteles

(ChunkerEvaluator) Sentence #187 from 00101375 from sent7

Text  : opis dzieła zamiast nazwiska autora : autor Wesela - Wyspiański
Tokens: 1___ 2_____ 3______ 4_______ 5_____ 6 7____ 8_____ 9 10________

Chunks:
  FalsePositive nam [8,10] = Wesela - Wyspiański (confidence=0.87) (incorrect boundry)
  FalseNegative nam [8,8] = Wesela
  FalseNegative nam [10,10] = Wyspiański

(ChunkerEvaluator) Sentence #188 from 00101375 from sent8

Text  : wyraz pospolity zamiast własnego : ojczyzna - Polska
Tokens: 1____ 2________ 3______ 4_______ 5 6_______ 7 8_____

Chunks:
  TruePositive nam [8,8] = Polska (confidence=0.97)

(ChunkerEvaluator) Sentence #189 from 00101375 from sent9

Text  : słynny cytat zamiast nazwiska : ten , który wstrzymał Słońce ,_ ruszył Ziemię -_ Kopernik
Tokens: 1_____ 2____ 3______ 4_______ 5 6__ 7 8____ 9________ 10____ 11 12____ 13____ 14 15______

Chunks:
  TruePositive nam [10,10] = Słońce (confidence=1.00)
  TruePositive nam [13,13] = Ziemię (confidence=0.98)
  FalseNegative nam [15,15] = Kopernik

2017-06-14 20:16:56,472 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 14 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101391.xml
(ChunkerEvaluator) Sentence #190 from 00101391 from sent1

Text  : Amerykanie rosyjskiego pochodzenia
Tokens: 1_________ 2__________ 3__________

Chunks:
  FalseNegative nam [1,1] = Amerykanie

(ChunkerEvaluator) Sentence #191 from 00101391 from sent2

Text  : Amerykanie rosyjskiego pochodzenia – to obywatele lub stali mieszkańcy Stanów Zjednoczonych posiadający przodków z_ terenu Rosji ._
Tokens: 1_________ 2__________ 3__________ 4 5_ 6________ 7__ 8____ 9_________ 10____ 11___________ 12_________ 13______ 14 15____ 16___ 17

Chunks:
  TruePositive nam [10,11] = Stanów Zjednoczonych (confidence=1.00)
  TruePositive nam [16,16] = Rosji (confidence=1.00)
  FalseNegative nam [1,1] = Amerykanie

(ChunkerEvaluator) Sentence #192 from 00101391 from sent3

Text  : Jest to pojęcie ogólne , gdyż może to obejmować rosyjskich Żydów ,_ Ukraińców ,_ Ormian i_ Gruzinów ,_ którzy urodzili się i_ wychowali wewnątrz carskiej Rosji lub w_ Związku Radzieckim ._
Tokens: 1___ 2_ 3______ 4_____ 5 6___ 7___ 8_ 9________ 10________ 11___ 12 13_______ 14 15____ 16 17______ 18 19____ 20______ 21_ 22 23_______ 24______ 25______ 26___ 27_ 28 29_____ 30________ 31

Chunks:
  TruePositive nam [11,11] = Żydów (confidence=1.00)
  TruePositive nam [13,13] = Ukraińców (confidence=0.99)
  TruePositive nam [15,15] = Ormian (confidence=0.74)
  TruePositive nam [17,17] = Gruzinów (confidence=0.62)
  TruePositive nam [26,26] = Rosji (confidence=1.00)
  TruePositive nam [29,30] = Związku Radzieckim (confidence=0.98)

(ChunkerEvaluator) Sentence #193 from 00101391 from sent4

Text  : Populacja Amerykanów rosyjskiego pochodzenia jest szacowana na około 3 milionów ._
Tokens: 1________ 2_________ 3__________ 4__________ 5___ 6________ 7_ 8____ 9 10______ 11

Chunks:
  TruePositive nam [2,2] = Amerykanów (confidence=0.97)

(ChunkerEvaluator) Sentence #194 from 00101391 from sent5

Text  : Wielu tychże Amerykanów obecnie nie zna już języka rosyjskiego ,_ gdyż większość z_ nich przybyła do USA więcej niż pięćdziesiąt lat temu ._
Tokens: 1____ 2_____ 3_________ 4______ 5__ 6__ 7__ 8_____ 9__________ 10 11__ 12_______ 13 14__ 15______ 16 17_ 18____ 19_ 20__________ 21_ 22__ 23

Chunks:
  TruePositive nam [3,3] = Amerykanów (confidence=0.99)
  TruePositive nam [17,17] = USA (confidence=1.00)

(ChunkerEvaluator) Sentence #195 from 00101391 from sent6

Text  : Zgodnie z amerykańskim spisem powszechnym z 2000 roku , 706 ,_ 242 Amerykanów wskazywało Rosyjski jako ich język mówiony ._
Tokens: 1______ 2 3___________ 4_____ 5__________ 6 7___ 8___ 9 10_ 11 12_ 13________ 14________ 15______ 16__ 17_ 18___ 19_____ 20

Chunks:
  TruePositive nam [13,13] = Amerykanów (confidence=1.00)
  FalsePositive nam [15,15] = Rosyjski (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #196 from 00101391 from sent7

Text  : Duże skupiska rosyjskich amerykanów występują w Anchorage na Alasce ,_ Baltimore ,_ Maryland ,_ w_ Bostonie ,_ w_ Nowym Jorku w_ dzielnicy Bronx i_ Brooklyn i_ wielu innych ._
Tokens: 1___ 2_______ 3_________ 4_________ 5________ 6 7________ 8_ 9_____ 10 11_______ 12 13______ 14 15 16______ 17 18 19___ 20___ 21 22_______ 23___ 24 25______ 26 27___ 28____ 29

Chunks:
  TruePositive nam [7,7] = Anchorage (confidence=1.00)
  TruePositive nam [9,9] = Alasce (confidence=0.99)
  TruePositive nam [11,11] = Baltimore (confidence=1.00)
  TruePositive nam [13,13] = Maryland (confidence=1.00)
  TruePositive nam [16,16] = Bostonie (confidence=1.00)
  TruePositive nam [19,20] = Nowym Jorku (confidence=1.00)
  TruePositive nam [23,23] = Bronx (confidence=0.97)
  TruePositive nam [25,25] = Brooklyn (confidence=0.86)
  FalseNegative nam [4,4] = amerykanów

2017-06-14 20:16:56,506 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 15 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101422.xml
(ChunkerEvaluator) Sentence #197 from 00101422 from sent1

Text  : Gmina Skandawa
Tokens: 1____ 2_______

Chunks:
  TruePositive nam [2,2] = Skandawa (confidence=0.95)

(ChunkerEvaluator) Sentence #198 from 00101422 from sent2

Text  : Gmina Skandawa – dawna gmina wiejska istniejąca w latach 1946 -_ 1954 i_ 1973 -_ 1976 Do 28 września 1954 oraz od 1_ stycznia 1973 do 31 stycznia 1977 w_ woj ._ olsztyńskim (_ dzisiejsze woj ._ warmińsko -_ mazurskie )_ ._
Tokens: 1____ 2_______ 3 4____ 5____ 6______ 7_________ 8 9_____ 10__ 11 12__ 13 14__ 15 16__ 17 18 19______ 20__ 21__ 22 23 24______ 25__ 26 27 28______ 29__ 30 31_ 32 33_________ 34 35________ 36_ 37 38_______ 39 40_______ 41 42

Chunks:
  TruePositive nam [2,2] = Skandawa (confidence=1.00)
  FalseNegative nam [33,33] = olsztyńskim
  FalseNegative nam [38,40] = warmińsko - mazurskie

(ChunkerEvaluator) Sentence #199 from 00101422 from sent3

Text  : Siedzibą władz gminy była Skandawa .
Tokens: 1_______ 2____ 3____ 4___ 5_______ 6

Chunks:
  TruePositive nam [5,5] = Skandawa (confidence=0.98)

(ChunkerEvaluator) Sentence #200 from 00101422 from sent4

Text  : Gmina Skandawa powstała po II wojnie światowej na terenie tzw ._ Ziem Odzyskanych ._
Tokens: 1____ 2_______ 3_______ 4_ 5_ 6_____ 7________ 8_ 9______ 10_ 11 12__ 13_________ 14

Chunks:
  TruePositive nam [2,2] = Skandawa (confidence=0.99)
  TruePositive nam [5,7] = II wojnie światowej (confidence=1.00)
  TruePositive nam [12,13] = Ziem Odzyskanych (confidence=1.00)

(ChunkerEvaluator) Sentence #201 from 00101422 from sent5

Text  : 28 czerwca 1946 roku jako jednostka administracyjna powiatu kętrzyńskiego gmina weszła w_ skład nowo utworzonego woj ._ olsztyńskiego ._
Tokens: 1_ 2______ 3___ 4___ 5___ 6________ 7______________ 8______ 9____________ 10___ 11____ 12 13___ 14__ 15_________ 16_ 17 18___________ 19

Chunks:
  FalseNegative nam [9,9] = kętrzyńskiego
  FalseNegative nam [18,18] = olsztyńskiego

(ChunkerEvaluator) Sentence #202 from 00101422 from sent6

Text  : W skład gminy wszedł niewielki obszar części przeciętego granicą państwową powiatu gierdawskiego ,_ która znalazła się po stronie polskiej (_ Lipica i_ Skandawa )_ ._
Tokens: 1 2____ 3____ 4_____ 5________ 6_____ 7_____ 8__________ 9______ 10_______ 11_____ 12___________ 13 14___ 15______ 16_ 17 18_____ 19______ 20 21____ 22 23______ 24 25

Chunks:
  TruePositive nam [21,21] = Lipica (confidence=0.99)
  TruePositive nam [23,23] = Skandawa (confidence=0.99)
  FalseNegative nam [12,12] = gierdawskiego

(ChunkerEvaluator) Sentence #203 from 00101422 from sent7

Text  : Według stanu z 1 lipca 1952 roku gmina była podzielona na 7_ gromad :_ Dzietrzychowo ,_ Krelikiejmy ,_ Lipica ,_ Lwowiec ,_ Momajny ,_ Silginy i_ Skandawa ._
Tokens: 1_____ 2____ 3 4 5____ 6___ 7___ 8____ 9___ 10________ 11 12 13____ 14 15___________ 16 17_________ 18 19____ 20 21_____ 22 23_____ 24 25_____ 26 27______ 28

Chunks:
  TruePositive nam [15,15] = Dzietrzychowo (confidence=1.00)
  TruePositive nam [17,17] = Krelikiejmy (confidence=1.00)
  TruePositive nam [19,19] = Lipica (confidence=1.00)
  TruePositive nam [21,21] = Lwowiec (confidence=1.00)
  TruePositive nam [23,23] = Momajny (confidence=1.00)
  TruePositive nam [25,25] = Silginy (confidence=1.00)
  TruePositive nam [27,27] = Skandawa (confidence=1.00)

(ChunkerEvaluator) Sentence #204 from 00101422 from sent8

Text  : Gmina została zniesiona 29 września 1954 roku wraz z reformą wprowadzającą gromady w_ miejsce gmin ._
Tokens: 1____ 2______ 3________ 4_ 5_______ 6___ 7___ 8___ 9 10_____ 11___________ 12_____ 13 14_____ 15__ 16

Chunks:

(ChunkerEvaluator) Sentence #205 from 00101422 from sent9

Text  : Jednostkę reaktywowano 1 stycznia 1973 roku w tymże powiecie i_ województwie ._
Tokens: 1________ 2___________ 3 4_______ 5___ 6___ 7 8____ 9_______ 10 11__________ 12

Chunks:

(ChunkerEvaluator) Sentence #206 from 00101422 from sent10

Text  : 1 czerwca 1975 roku gmina weszła w skład nowo utworzonego (_ mniejszego )_ woj ._ olsztyńskiego ._
Tokens: 1 2______ 3___ 4___ 5____ 6_____ 7 8____ 9___ 10_________ 11 12________ 13 14_ 15 16___________ 17

Chunks:
  FalseNegative nam [16,16] = olsztyńskiego

(ChunkerEvaluator) Sentence #207 from 00101422 from sent11

Text  : 1 lutego 1977 roku gmina została zniesiona a jej obszar włączony do gmin Barciany i_ Sępopol ._
Tokens: 1 2_____ 3___ 4___ 5____ 6______ 7________ 8 9__ 10____ 11______ 12 13__ 14______ 15 16_____ 17

Chunks:
  TruePositive nam [14,14] = Barciany (confidence=1.00)
  TruePositive nam [16,16] = Sępopol (confidence=1.00)

2017-06-14 20:16:56,558 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 16 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101437.xml
(ChunkerEvaluator) Sentence #208 from 00101437 from sent1

Text  : The Best of Deep Purple : Live in Europe
Tokens: 1__ 2___ 3_ 4___ 5_____ 6 7___ 8_ 9_____

Chunks:
  FalsePositive nam [1,5] = The Best of Deep Purple (confidence=0.99) (incorrect boundry)
  FalsePositive nam [7,9] = Live in Europe (confidence=0.71) (incorrect boundry)
  FalseNegative nam [1,9] = The Best of Deep Purple : Live in Europe

(ChunkerEvaluator) Sentence #209 from 00101437 from sent2

Text  : The Best of Deep Purple : Live in Europe –_ album kompilacyjny zespołu Deep Purple wydany w_ roku 2003 ._
Tokens: 1__ 2___ 3_ 4___ 5_____ 6 7___ 8_ 9_____ 10 11___ 12__________ 13_____ 14__ 15____ 16____ 17 18__ 19__ 20

Chunks:
  TruePositive nam [14,15] = Deep Purple (confidence=0.99)
  FalsePositive nam [1,5] = The Best of Deep Purple (confidence=0.99) (incorrect boundry)
  FalsePositive nam [7,9] = Live in Europe (confidence=0.71) (incorrect boundry)
  FalseNegative nam [1,9] = The Best of Deep Purple : Live in Europe

(ChunkerEvaluator) Sentence #210 from 00101437 from sent3

Text  : Płyta zawiera utwory koncertowe , zarówno te wydane wcześniej jak i_ nie wydane nigdy ,_ pochodzące z_ okresów Mark II ,_ Mark III i_ Mark VII ._
Tokens: 1____ 2______ 3_____ 4_________ 5 6______ 7_ 8_____ 9________ 10_ 11 12_ 13____ 14___ 15 16________ 17 18_____ 19__ 20 21 22__ 23_ 24 25__ 26_ 27

Chunks:
  FalsePositive nam [19,20] = Mark II (confidence=1.00) (incorrect boundry)
  FalsePositive nam [22,23] = Mark III (confidence=1.00) (incorrect boundry)
  FalsePositive nam [25,26] = Mark VII (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #211 from 00101437 from sent4

Text  : Lista utworów
Tokens: 1____ 2______

Chunks:

(ChunkerEvaluator) Sentence #212 from 00101437 from sent5

Text  : Wykonawcy
Tokens: 1________

Chunks:

(ChunkerEvaluator) Sentence #213 from 00101437 from sent6

Text  : Mk II
Tokens: 1_ 2_

Chunks:

(ChunkerEvaluator) Sentence #214 from 00101437 from sent7

Text  : Ian Gillan – śpiew
Tokens: 1__ 2_____ 3 4____

Chunks:
  TruePositive nam [1,2] = Ian Gillan (confidence=1.00)

(ChunkerEvaluator) Sentence #215 from 00101437 from sent8

Text  : Ritchie Blackmore – gitara
Tokens: 1______ 2________ 3 4_____

Chunks:
  TruePositive nam [1,2] = Ritchie Blackmore (confidence=1.00)

(ChunkerEvaluator) Sentence #216 from 00101437 from sent9

Text  : Jon Lord – instrumenty klawiszowe
Tokens: 1__ 2___ 3 4__________ 5_________

Chunks:
  TruePositive nam [1,2] = Jon Lord (confidence=0.98)

(ChunkerEvaluator) Sentence #217 from 00101437 from sent10

Text  : Roger Glover – gitara basowa
Tokens: 1____ 2_____ 3 4_____ 5_____

Chunks:
  TruePositive nam [1,2] = Roger Glover (confidence=1.00)

(ChunkerEvaluator) Sentence #218 from 00101437 from sent11

Text  : Ian Paice – perkusja
Tokens: 1__ 2____ 3 4_______

Chunks:
  TruePositive nam [1,2] = Ian Paice (confidence=1.00)

(ChunkerEvaluator) Sentence #219 from 00101437 from sent12

Text  : Mk III
Tokens: 1_ 2__

Chunks:
  FalsePositive nam [1,2] = Mk III (confidence=0.87) (incorrect boundry)

(ChunkerEvaluator) Sentence #220 from 00101437 from sent13

Text  : David Coverdale – śpiew
Tokens: 1____ 2________ 3 4____

Chunks:
  TruePositive nam [1,2] = David Coverdale (confidence=1.00)

(ChunkerEvaluator) Sentence #221 from 00101437 from sent14

Text  : Ritchie Blackmore – gitara
Tokens: 1______ 2________ 3 4_____

Chunks:
  TruePositive nam [1,2] = Ritchie Blackmore (confidence=1.00)

(ChunkerEvaluator) Sentence #222 from 00101437 from sent15

Text  : Jon Lord – instrumenty klawiszowe
Tokens: 1__ 2___ 3 4__________ 5_________

Chunks:
  TruePositive nam [1,2] = Jon Lord (confidence=0.98)

(ChunkerEvaluator) Sentence #223 from 00101437 from sent16

Text  : Glenn Hughes – gitara basowa , śpiew
Tokens: 1____ 2_____ 3 4_____ 5_____ 6 7____

Chunks:
  TruePositive nam [1,2] = Glenn Hughes (confidence=1.00)

(ChunkerEvaluator) Sentence #224 from 00101437 from sent17

Text  : Ian Paice – perkusja
Tokens: 1__ 2____ 3 4_______

Chunks:
  TruePositive nam [1,2] = Ian Paice (confidence=1.00)

(ChunkerEvaluator) Sentence #225 from 00101437 from sent18

Text  : Mk VII
Tokens: 1_ 2__

Chunks:
  FalsePositive nam [1,2] = Mk VII (confidence=0.60) (incorrect boundry)

(ChunkerEvaluator) Sentence #226 from 00101437 from sent19

Text  : Ian Gillan – śpiew
Tokens: 1__ 2_____ 3 4____

Chunks:
  TruePositive nam [1,2] = Ian Gillan (confidence=1.00)

(ChunkerEvaluator) Sentence #227 from 00101437 from sent20

Text  : Steve Morse – gitara
Tokens: 1____ 2____ 3 4_____

Chunks:
  TruePositive nam [1,2] = Steve Morse (confidence=1.00)

(ChunkerEvaluator) Sentence #228 from 00101437 from sent21

Text  : Jon Lord – instrumenty klawiszowe
Tokens: 1__ 2___ 3 4__________ 5_________

Chunks:
  TruePositive nam [1,2] = Jon Lord (confidence=0.98)

(ChunkerEvaluator) Sentence #229 from 00101437 from sent22

Text  : Roger Glover – gitara basowa
Tokens: 1____ 2_____ 3 4_____ 5_____

Chunks:
  TruePositive nam [1,2] = Roger Glover (confidence=1.00)

(ChunkerEvaluator) Sentence #230 from 00101437 from sent23

Text  : Ian Paice – perkusja
Tokens: 1__ 2____ 3 4_______

Chunks:
  TruePositive nam [1,2] = Ian Paice (confidence=1.00)

2017-06-14 20:16:56,594 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 17 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101453.xml
(ChunkerEvaluator) Sentence #231 from 00101453 from sent1

Text  : Dziadowa Kłoda ( stacja kolejowa )
Tokens: 1_______ 2____ 3 4_____ 5_______ 6

Chunks:
  TruePositive nam [1,2] = Dziadowa Kłoda (confidence=1.00)

(ChunkerEvaluator) Sentence #232 from 00101453 from sent2

Text  : Dziadowa Kłoda – nieczynna stacja kolejowa , na zlikwidowanej linii kolejowej nr 317 ,_ w_ miejscowości Dziadowa Kłoda ,_ w_ województwie dolnośląskim ,_ w_ powiecie oleśnickim ,_ w_ gminie Dziadowa Kłoda ,_ w_ Polsce ._
Tokens: 1_______ 2____ 3 4________ 5_____ 6_______ 7 8_ 9____________ 10___ 11_______ 12 13_ 14 15 16__________ 17______ 18___ 19 20 21__________ 22__________ 23 24 25______ 26________ 27 28 29____ 30______ 31___ 32 33 34____ 35

Chunks:
  TruePositive nam [1,2] = Dziadowa Kłoda (confidence=0.78)
  TruePositive nam [17,18] = Dziadowa Kłoda (confidence=1.00)
  TruePositive nam [22,22] = dolnośląskim (confidence=1.00)
  TruePositive nam [26,26] = oleśnickim (confidence=0.99)
  TruePositive nam [30,31] = Dziadowa Kłoda (confidence=1.00)
  TruePositive nam [34,34] = Polsce (confidence=1.00)
  FalseNegative nam [10,13] = linii kolejowej nr 317

2017-06-14 20:16:56,605 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 18 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101485.xml
(ChunkerEvaluator) Sentence #233 from 00101485 from sent1

Text  : ( 5905 ) Johnson
Tokens: 1 2___ 3 4______

Chunks:
  FalsePositive nam [4,4] = Johnson (confidence=0.84) (incorrect boundry)
  FalseNegative nam [1,4] = ( 5905 ) Johnson

(ChunkerEvaluator) Sentence #234 from 00101485 from sent2

Text  : 5905 Johnson ( 1989 CJ1 ) – planetoida z pasa głównego asteroid ._
Tokens: 1___ 2______ 3 4___ 5__ 6 7 8_________ 9 10__ 11______ 12______ 13

Chunks:
  FalsePositive nam [2,2] = Johnson (confidence=1.00) (incorrect boundry)
  FalseNegative nam [1,2] = 5905 Johnson
  FalseNegative nam [4,5] = 1989 CJ1

(ChunkerEvaluator) Sentence #235 from 00101485 from sent3

Text  : Odkrycie
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #236 from 00101485 from sent4

Text  : Planetoida została odkryta 11 lutego 1989 roku przez amerykańską astronom Eleanorę Helin ._
Tokens: 1_________ 2______ 3______ 4_ 5_____ 6___ 7___ 8____ 9__________ 10______ 11______ 12___ 13

Chunks:
  TruePositive nam [11,12] = Eleanorę Helin (confidence=1.00)

(ChunkerEvaluator) Sentence #237 from 00101485 from sent5

Text  : Orbita
Tokens: 1_____

Chunks:

(ChunkerEvaluator) Sentence #238 from 00101485 from sent6

Text  : Orbita 5905 Johnson nachylona jest do płaszczyzny ekliptyki pod kątem 27 ,_ 51 °_ ._
Tokens: 1_____ 2___ 3______ 4________ 5___ 6_ 7__________ 8________ 9__ 10___ 11 12 13 14 15

Chunks:
  FalsePositive nam [3,3] = Johnson (confidence=0.74) (incorrect boundry)
  FalseNegative nam [2,3] = 5905 Johnson

(ChunkerEvaluator) Sentence #239 from 00101485 from sent7

Text  : Na jeden obieg wokół Słońca ciało to potrzebuje 2 ,_ 64 roku ,_ krążąc w_ średniej odległości 1_ ,_ 91 j_ ._ a_ ._ od naszej Dziennej Gwiazdy ._
Tokens: 1_ 2____ 3____ 4____ 5_____ 6____ 7_ 8_________ 9 10 11 12__ 13 14____ 15 16______ 17________ 18 19 20 21 22 23 24 25 26____ 27______ 28_____ 29

Chunks:
  TruePositive nam [5,5] = Słońca (confidence=1.00)
  TruePositive nam [27,28] = Dziennej Gwiazdy (confidence=0.86)

(ChunkerEvaluator) Sentence #240 from 00101485 from sent8

Text  : Mimośród orbity tej planetoidy to 0 , 07 .
Tokens: 1_______ 2_____ 3__ 4_________ 5_ 6 7 8_ 9

Chunks:

(ChunkerEvaluator) Sentence #241 from 00101485 from sent9

Text  : Właściwości fizyczne
Tokens: 1__________ 2_______

Chunks:

(ChunkerEvaluator) Sentence #242 from 00101485 from sent10

Text  : Johnson ma średnicę ok . 5 km .
Tokens: 1______ 2_ 3_______ 4_ 5 6 7_ 8

Chunks:
  FalseNegative nam [1,1] = Johnson

(ChunkerEvaluator) Sentence #243 from 00101485 from sent11

Text  : Jego jasność absolutna to 13 , 2 m .
Tokens: 1___ 2______ 3________ 4_ 5_ 6 7 8 9

Chunks:

(ChunkerEvaluator) Sentence #244 from 00101485 from sent12

Text  : Okres obrotu tej planetoidy wokół własnej osi to 3 ,_ 7824 godziny ._
Tokens: 1____ 2_____ 3__ 4_________ 5____ 6______ 7__ 8_ 9 10 11__ 12_____ 13

Chunks:

(ChunkerEvaluator) Sentence #245 from 00101485 from sent13

Text  : Księżyc planetoidy
Tokens: 1______ 2_________

Chunks:

(ChunkerEvaluator) Sentence #246 from 00101485 from sent14

Text  : Na podstawie obserwacji analizy jasności krzywej blasku zidentyfikowano w pobliżu tej asteroidy naturalnego satelitę ._
Tokens: 1_ 2________ 3_________ 4______ 5_______ 6______ 7_____ 8______________ 9 10_____ 11_ 12_______ 13_________ 14______ 15

Chunks:

(ChunkerEvaluator) Sentence #247 from 00101485 from sent15

Text  : Odkrycia tego dokonali w kwietniu 2005 roku B . Warner ,_ P_ ._ Pravec ,_ P_ ._ Kusnirak ,_ D_ ._ Pray ,_ A_ ._ Galad ,_ S_ ._ Gajdos ,_ P_ ._ Brown oraz Z_ ._ Krzeminski ._
Tokens: 1_______ 2___ 3_______ 4 5_______ 6___ 7___ 8 9 10____ 11 12 13 14____ 15 16 17 18______ 19 20 21 22__ 23 24 25 26___ 27 28 29 30____ 31 32 33 34___ 35__ 36 37 38________ 39

Chunks:
  TruePositive nam [8,10] = B . Warner (confidence=1.00)
  TruePositive nam [12,14] = P . Pravec (confidence=1.00)
  TruePositive nam [16,18] = P . Kusnirak (confidence=0.99)
  TruePositive nam [20,22] = D . Pray (confidence=0.99)
  TruePositive nam [24,26] = A . Galad (confidence=0.99)
  TruePositive nam [28,30] = S . Gajdos (confidence=0.99)
  TruePositive nam [32,34] = P . Brown (confidence=0.98)
  TruePositive nam [36,38] = Z . Krzeminski (confidence=0.97)

(ChunkerEvaluator) Sentence #248 from 00101485 from sent16

Text  : Obydwa składniki obiegają wspólny środek masy w czasie ok ._ 21 ,_ 785 godziny ._
Tokens: 1_____ 2________ 3_______ 4______ 5_____ 6___ 7 8_____ 9_ 10 11 12 13_ 14_____ 15

Chunks:

(ChunkerEvaluator) Sentence #249 from 00101485 from sent17

Text  : Johnson znajduje się w odległości ok . 4 , 5_ km ,_ a_ jego satelita ok ._ 11 km od barycentrum ._
Tokens: 1______ 2_______ 3__ 4 5_________ 6_ 7 8 9 10 11 12 13 14__ 15______ 16 17 18 19 20 21_________ 22

Chunks:
  FalseNegative nam [1,1] = Johnson

(ChunkerEvaluator) Sentence #250 from 00101485 from sent18

Text  : Średnia odległość obydwu składników od siebie to ok . 14 ,_ 5_ km ._
Tokens: 1______ 2________ 3_____ 4_________ 5_ 6_____ 7_ 8_ 9 10 11 12 13 14

Chunks:

(ChunkerEvaluator) Sentence #251 from 00101485 from sent19

Text  : Satelita został tymczasowo oznaczony S / 2005 ( 5905 )_ 1_ ._
Tokens: 1_______ 2_____ 3_________ 4________ 5 6 7___ 8 9___ 10 11 12

Chunks:
  FalseNegative nam [5,11] = S / 2005 ( 5905 ) 1

2017-06-14 20:16:56,664 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 19 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101513.xml
(ChunkerEvaluator) Sentence #252 from 00101513 from sent1

Text  : - Panie poruczniku - mówił do mnie - nie myśl pan ,_ by m_ tylko był rozbójnikiem wojennym ;_ masz we mnie wielkiego sprawcę sprawiedliwości ._
Tokens: 1 2____ 3_________ 4 5____ 6_ 7___ 8 9__ 10__ 11_ 12 13 14 15___ 16_ 17__________ 18______ 19 20__ 21 22__ 23_______ 24_____ 25_____________ 26

Chunks:

(ChunkerEvaluator) Sentence #253 from 00101513 from sent2

Text  : W całej Polszcze przy mnie jednym jest jurysdykcja między dziedzicem a_ chłopem ._
Tokens: 1 2____ 3_______ 4___ 5___ 6_____ 7___ 8__________ 9_____ 10________ 11 12_____ 13

Chunks:
  TruePositive nam [3,3] = Polszcze (confidence=0.87)

(ChunkerEvaluator) Sentence #254 from 00101513 from sent3

Text  : Jako dziedzic lub ekonom ukrzywdzi chłopa , a ten do mnie się uda ze skargą ,_ zaraz posyłam ,_ żeby mu sprawiedliwość zrobiono ,_ z_ groźbą ,_ że inaczej tydzień nie minie ,_ a_ tok z_ dymem pójdzie ._
Tokens: 1___ 2_______ 3__ 4_____ 5________ 6_____ 7 8 9__ 10 11__ 12_ 13_ 14 15____ 16 17___ 18_____ 19 20__ 21 22____________ 23______ 24 25 26____ 27 28 29_____ 30_____ 31_ 32___ 33 34 35_ 36 37___ 38_____ 39

Chunks:

(ChunkerEvaluator) Sentence #255 from 00101513 from sent4

Text  : Z początku ze dwa razy , dla przykładu , com przyrzekł ,_ tom dotrzymał ;_ ale chwała Bogu nie masz teraz potrzeby tego ponawiać ,_ bo w_ całej okolicy nikt już chłopa nad inwentarz nie zażywa ._
Tokens: 1 2_______ 3_ 4__ 5___ 6 7__ 8________ 9 10_ 11_______ 12 13_ 14_______ 15 16_ 17____ 18__ 19_ 20__ 21___ 22______ 23__ 24______ 25 26 27 28___ 29_____ 30__ 31_ 32____ 33_ 34_______ 35_ 36____ 37

Chunks:
  TruePositive nam [18,18] = Bogu (confidence=1.00)

(ChunkerEvaluator) Sentence #256 from 00101513 from sent5

Text  : Cóż powiecie , panowie bracia !
Tokens: 1__ 2_______ 3 4______ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #257 from 00101513 from sent6

Text  : Trzy doby bawił em u Pawlika na gościnie , nie z_ musu ,_ ale z_ własnej ochoty ;_ bo jeszcze tej samej nocy przybyli hultaje z_ Cudnowa odesłani ,_ z_ listem do mnie od szanownego łowczego ,_ w_ którym tysiączne robił deprekacje ,_ że z_ jego powodu tyle przykrości doświadczył em ,_ i_ prosił ,_ by m_ na bonifikatę mojej szkody przyjął od niego dwadzieścia koni z_ rynsztunkiem ,_ które mi odeszle do Budy ._
Tokens: 1___ 2___ 3____ 4_ 5 6______ 7_ 8_______ 9 10_ 11 12__ 13 14_ 15 16_____ 17____ 18 19 20_____ 21_ 22___ 23__ 24______ 25_____ 26 27_____ 28______ 29 30 31____ 32 33__ 34 35________ 36______ 37 38 39____ 40_______ 41___ 42________ 43 44 45 46__ 47____ 48__ 49________ 50_________ 51 52 53 54____ 55 56 57 58 59________ 60___ 61____ 62_____ 63 64___ 65_________ 66__ 67 68__________ 69 70___ 71 72_____ 73 74__ 75

Chunks:
  TruePositive nam [6,6] = Pawlika (confidence=1.00)
  TruePositive nam [27,27] = Cudnowa (confidence=0.99)
  TruePositive nam [74,74] = Budy (confidence=1.00)

(ChunkerEvaluator) Sentence #258 from 00101513 from sent7

Text  : A lubo jam go potem zapewnił , że Pawlik wrócił mi ,_ co był zabrał ,_ poczciwy łowczy swojej ofiary nie cofnął i_ odesłał mi dwudziestu jeźdźców ,_ którychem Jeneralności przedstawił swojego czasu ._
Tokens: 1 2___ 3__ 4_ 5____ 6_______ 7 8_ 9_____ 10____ 11 12 13 14_ 15____ 16 17______ 18____ 19____ 20____ 21_ 22____ 23 24_____ 25 26________ 27______ 28 29_______ 30__________ 31_________ 32_____ 33___ 34

Chunks:
  TruePositive nam [9,9] = Pawlik (confidence=1.00)

(ChunkerEvaluator) Sentence #259 from 00101513 from sent8

Text  : Mimo siebie puszczając wszelkie bezprawia , jakich nieraz Pawlik się dopuścił ,_ tyle go znalazł em gościnnym i_ dobrze względem ojczyzny myślącym ,_ że pomyślał em sobie ,_ Deus me custodiat :_ Czego mi wchodzić w_ cudze postępki ?_
Tokens: 1___ 2_____ 3_________ 4_______ 5________ 6 7_____ 8_____ 9_____ 10_ 11______ 12 13__ 14 15_____ 16 17_______ 18 19____ 20______ 21______ 22______ 23 24 25______ 26 27___ 28 29__ 30 31_______ 32 33___ 34 35______ 36 37___ 38______ 39

Chunks:
  FalseNegative nam [9,9] = Pawlik
  FalseNegative nam [29,29] = Deus

(ChunkerEvaluator) Sentence #260 from 00101513 from sent9

Text  : Wszak Duch Święty powiedział : Nie sądź , by ś_ nie był sądzonym ._
Tokens: 1____ 2___ 3_____ 4_________ 5 6__ 7___ 8 9_ 10 11_ 12_ 13______ 14

Chunks:
  TruePositive nam [2,3] = Duch Święty (confidence=1.00)

(ChunkerEvaluator) Sentence #261 from 00101513 from sent10

Text  : I tak przez trzy dni ugościwszy odprowadził mnie Pawlik do Szyjeckiej Budy ,_ gdzie powoli zbierał em mój oddział i_ nowo zaciążnych uczył em obrotów ,_ a_ on ciągle o_ wszystkim mnie donosił ,_ że ani patrolów ,_ ani placówek nie potrzebował em wysyłać ._
Tokens: 1 2__ 3____ 4___ 5__ 6_________ 7__________ 8___ 9_____ 10 11________ 12__ 13 14___ 15____ 16_____ 17 18_ 19_____ 20 21__ 22________ 23___ 24 25_____ 26 27 28 29____ 30 31_______ 32__ 33_____ 34 35 36_ 37______ 38 39_ 40______ 41_ 42_________ 43 44_____ 45

Chunks:
  TruePositive nam [9,9] = Pawlik (confidence=0.98)
  TruePositive nam [11,12] = Szyjeckiej Budy (confidence=1.00)

(ChunkerEvaluator) Sentence #262 from 00101513 from sent11

Text  : Nie na tym koniec .
Tokens: 1__ 2_ 3__ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #263 from 00101513 from sent12

Text  : Razu jednego , wziąwszy mię na stronę , mówi :_
Tokens: 1___ 2______ 3 4_______ 5__ 6_ 7_____ 8 9___ 10

Chunks:

(ChunkerEvaluator) Sentence #264 from 00101513 from sent13

Text  : - Panie poruczniku , między swoimi więcej trzydziestu ludzi wyrozumiał em ,_ że myślą tak jak ja :_ wszyscy chcemy do pana przystać i_ ojczyźnie służyć ._
Tokens: 1 2____ 3_________ 4 5_____ 6_____ 7_____ 8__________ 9____ 10________ 11 12 13 14___ 15_ 16_ 17 18 19_____ 20____ 21 22__ 23______ 24 25_______ 26____ 27

Chunks:

(ChunkerEvaluator) Sentence #265 from 00101513 from sent14

Text  : - Od Pana Boga wasza myśl natchniona ; nic świętszego !_
Tokens: 1 2_ 3___ 4___ 5____ 6___ 7_________ 8 9__ 10________ 11

Chunks:
  TruePositive nam [4,4] = Boga (confidence=0.68)

2017-06-14 20:16:56,766 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 20 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101540.xml
(ChunkerEvaluator) Sentence #266 from 00101540 from sent1

Text  : Platforma e - learningowa OLAT posiada bardzo rozbudowany system zarządzania użytkownikami oraz zasobami kursów ._
Tokens: 1________ 2 3 4__________ 5___ 6______ 7_____ 8__________ 9_____ 10_________ 11___________ 12__ 13______ 14____ 15

Chunks:
  TruePositive nam [5,5] = OLAT (confidence=0.76)

(ChunkerEvaluator) Sentence #267 from 00101540 from sent2

Text  : W systemie możliwe jest zarządzanie grupami użytkowników , także poza strukturą kursu ._
Tokens: 1 2_______ 3______ 4___ 5__________ 6______ 7___________ 8 9____ 10__ 11_______ 12___ 13

Chunks:

(ChunkerEvaluator) Sentence #268 from 00101540 from sent3

Text  : OLAT umożliwia tworzenie różnych typów grup ( grupy projektu ,_ grupy edukacyjne )_ ._
Tokens: 1___ 2________ 3________ 4______ 5____ 6___ 7 8____ 9_______ 10 11___ 12________ 13 14

Chunks:
  TruePositive nam [1,1] = OLAT (confidence=1.00)

(ChunkerEvaluator) Sentence #269 from 00101540 from sent4

Text  : Grupę z przypisanymi osobami możemy zapisać na kurs .
Tokens: 1____ 2 3___________ 4______ 5_____ 6______ 7_ 8___ 9

Chunks:

(ChunkerEvaluator) Sentence #270 from 00101540 from sent5

Text  : Ciekawym rozwiązaniem jest możliwość delegowania określonych osób do zarządzania grupą lub użytkownikami (_ rola zarządcy grupy i_ zarządcy użytkowników )_ ._
Tokens: 1_______ 2___________ 3___ 4________ 5__________ 6__________ 7___ 8_ 9__________ 10___ 11_ 12___________ 13 14__ 15______ 16___ 17 18______ 19__________ 20 21

Chunks:

(ChunkerEvaluator) Sentence #271 from 00101540 from sent6

Text  : W systemie dostępne są także standardowe role typu : anonimowy użytkownik ,_ autor ,_ współautor ,_ administrator systemu ._
Tokens: 1 2_______ 3_______ 4_ 5____ 6__________ 7___ 8___ 9 10_______ 11________ 12 13___ 14 15________ 16 17___________ 18_____ 19

Chunks:

(ChunkerEvaluator) Sentence #272 from 00101540 from sent7

Text  : W systemie OLAT możemy tworzyć repozytorium materiałów kursowych .
Tokens: 1 2_______ 3___ 4_____ 5______ 6___________ 7_________ 8________ 9

Chunks:
  TruePositive nam [3,3] = OLAT (confidence=0.75)

(ChunkerEvaluator) Sentence #273 from 00101540 from sent8

Text  : Dostęp do repozytorium jest dowolnie modyfikowalny za pomocą odpowiednich uprawnień ._
Tokens: 1_____ 2_ 3___________ 4___ 5_______ 6____________ 7_ 8_____ 9___________ 10_______ 11

Chunks:

(ChunkerEvaluator) Sentence #274 from 00101540 from sent9

Text  : Osoba tworząca kurs ma wiec możliwość tworzenia kursu w oparciu o_ nowe ,_ tworzone przez siebie zasoby ,_ jak i_ w_ oparciu o_ zasoby już istniejące ,_ znajdujące się w_ repozytorium ._
Tokens: 1____ 2_______ 3___ 4_ 5___ 6________ 7________ 8____ 9 10_____ 11 12__ 13 14______ 15___ 16____ 17____ 18 19_ 20 21 22_____ 23 24____ 25_ 26________ 27 28________ 29_ 30 31__________ 32

Chunks:

(ChunkerEvaluator) Sentence #275 from 00101540 from sent10

Text  : Takie rozwiązanie znacznie przyspiesza tworzenie kursu i umożliwia wykorzystywanie tych samych materiałów do tworzenia różnych kursów ,_ także przez różne osoby ._
Tokens: 1____ 2__________ 3_______ 4__________ 5________ 6____ 7 8________ 9______________ 10__ 11____ 12________ 13 14_______ 15_____ 16____ 17 18___ 19___ 20___ 21___ 22

Chunks:

(ChunkerEvaluator) Sentence #276 from 00101540 from sent11

Text  : Dodatkowo każdy użytkownik posiada prywatny i publiczny folder do których może uploadować pliki ._
Tokens: 1________ 2____ 3_________ 4______ 5_______ 6 7________ 8_____ 9_ 10_____ 11__ 12________ 13___ 14

Chunks:

(ChunkerEvaluator) Sentence #277 from 00101540 from sent12

Text  : Platforma OLAT udostępnia wiele typów zasobów i narzędzi komunikacyjnych ._
Tokens: 1________ 2___ 3_________ 4____ 5____ 6______ 7 8_______ 9______________ 10

Chunks:
  TruePositive nam [2,2] = OLAT (confidence=0.45)

(ChunkerEvaluator) Sentence #278 from 00101540 from sent13

Text  : Możemy tu wymienić między innymi : kalendarz z systemem powiadamiania ,_ forum dyskusyjne ,_ formularz kontaktowy ,_ notes ,_ wykaz osiągnięć ,_ testy ,_ ankiety ,_ wiki ,_ słowniki ,_ pakiet SCORM ,_ strona HTML ,_ zadanie ,_ czy folder plików ._
Tokens: 1_____ 2_ 3_______ 4_____ 5_____ 6 7________ 8 9_______ 10___________ 11 12___ 13________ 14 15_______ 16________ 17 18___ 19 20___ 21_______ 22 23___ 24 25_____ 26 27__ 28 29______ 30 31____ 32___ 33 34____ 35__ 36 37_____ 38 39_ 40____ 41____ 42

Chunks:
  TruePositive nam [32,32] = SCORM (confidence=0.99)
  TruePositive nam [35,35] = HTML (confidence=1.00)

(ChunkerEvaluator) Sentence #279 from 00101540 from sent14

Text  : Podstawowym narzędziem komunikacji uczestników kursu i prowadzących kurs jest forum dyskusyjne ._
Tokens: 1__________ 2_________ 3__________ 4__________ 5____ 6 7___________ 8___ 9___ 10___ 11________ 12

Chunks:

(ChunkerEvaluator) Sentence #280 from 00101540 from sent15

Text  : Każda z grup posiada swoje własne forum dyskusyjne .
Tokens: 1____ 2 3___ 4______ 5____ 6_____ 7____ 8_________ 9

Chunks:

(ChunkerEvaluator) Sentence #281 from 00101540 from sent16

Text  : Forum może być także wykorzystane jako element kursu .
Tokens: 1____ 2___ 3__ 4____ 5___________ 6___ 7______ 8____ 9

Chunks:

(ChunkerEvaluator) Sentence #282 from 00101540 from sent17

Text  : Prowadzący może wtedy dowolnie określić dostęp do danego forum dla określonych uczestników kursu ._
Tokens: 1_________ 2___ 3____ 4_______ 5_______ 6_____ 7_ 8_____ 9____ 10_ 11_________ 12_________ 13___ 14

Chunks:

(ChunkerEvaluator) Sentence #283 from 00101540 from sent18

Text  : Podsumowując , platforma OLAT jest bardzo ciekawą alternatywą dla innych platform e_ -_ Learningowych ._
Tokens: 1___________ 2 3________ 4___ 5___ 6_____ 7______ 8__________ 9__ 10____ 11______ 12 13 14___________ 15

Chunks:
  TruePositive nam [4,4] = OLAT (confidence=0.77)
  FalsePositive nam [14,14] = Learningowych (confidence=0.85) (incorrect boundry)

(ChunkerEvaluator) Sentence #284 from 00101540 from sent19

Text  : Do jej największych plusów możemy zaliczyć rozbudowany system zarządzania użytkownikami i_ grupami oraz możliwość tworzenia repozytorium materiałów kursowych z_ dowolnie konfigurowanym dostępem ._
Tokens: 1_ 2__ 3___________ 4_____ 5_____ 6_______ 7__________ 8_____ 9__________ 10___________ 11 12_____ 13__ 14_______ 15_______ 16__________ 17________ 18_______ 19 20______ 21____________ 22______ 23

Chunks:

(ChunkerEvaluator) Sentence #285 from 00101540 from sent20

Text  : Należy jeszcze wspomnieć iż OLAT w pełni obsługuje język polski ._
Tokens: 1_____ 2______ 3________ 4_ 5___ 6 7____ 8________ 9____ 10____ 11

Chunks:
  TruePositive nam [5,5] = OLAT (confidence=0.96)

2017-06-14 20:16:56,851 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 21 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101548.xml
(ChunkerEvaluator) Sentence #286 from 00101548 from sent1

Text  : Sterowniki AMD Catalyst dla Linuksa były ulepszane przez ostatnie kilka lat stopniowo ._
Tokens: 1_________ 2__ 3_______ 4__ 5______ 6___ 7________ 8____ 9_______ 10___ 11_ 12_______ 13

Chunks:
  FalsePositive nam [2,5] = AMD Catalyst dla Linuksa (confidence=0.93) (incorrect boundry)
  FalseNegative nam [2,3] = AMD Catalyst
  FalseNegative nam [5,5] = Linuksa

(ChunkerEvaluator) Sentence #287 from 00101548 from sent2

Text  : Przeszło dwa lata temu jeszcze , całość była w opłakanym stanie ,_ oferując jedynie marne wyświetlanie grafiki ,_ nie oferując ani CrossFire i_ OverDrive ._
Tokens: 1_______ 2__ 3___ 4___ 5______ 6 7_____ 8___ 9 10_______ 11____ 12 13______ 14_____ 15___ 16__________ 17_____ 18 19_ 20______ 21_ 22_______ 23 24_______ 25

Chunks:
  TruePositive nam [22,22] = CrossFire (confidence=0.99)
  TruePositive nam [24,24] = OverDrive (confidence=0.99)

(ChunkerEvaluator) Sentence #288 from 00101548 from sent3

Text  : Jedynymi wspieranymi porządnie kartami była seria FireGL dla profesjonalnych stacji roboczych ._
Tokens: 1_______ 2__________ 3________ 4______ 5___ 6____ 7_____ 8__ 9______________ 10____ 11_______ 12

Chunks:
  TruePositive nam [7,7] = FireGL (confidence=0.99)

2017-06-14 20:16:56,864 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 22 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101584.xml
(ChunkerEvaluator) Sentence #289 from 00101584 from sent1

Text  : Panie Marszałku !
Tokens: 1____ 2________ 3

Chunks:

(ChunkerEvaluator) Sentence #290 from 00101584 from sent2

Text  : Wysoka Izbo !
Tokens: 1_____ 2___ 3

Chunks:

(ChunkerEvaluator) Sentence #291 from 00101584 from sent3

Text  : Długo czekali śmy na rozwiązanie kwestii możliwości zakładania żłobków ._
Tokens: 1____ 2______ 3__ 4_ 5__________ 6______ 7_________ 8_________ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #292 from 00101584 from sent4

Text  : To jest naprawdę bardzo dobry moment .
Tokens: 1_ 2___ 3_______ 4_____ 5____ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #293 from 00101584 from sent5

Text  : Jednak po analizie tego dokumentu i po uzyskaniu informacji od pani minister ,_ niestety ,_ należy stwierdzić ,_ że skutki tej ustawy pewnie będą odłożone w_ czasie ze względów finansowych ._
Tokens: 1_____ 2_ 3_______ 4___ 5________ 6 7_ 8________ 9_________ 10 11__ 12______ 13 14______ 15 16____ 17________ 18 19 20____ 21_ 22____ 23____ 24__ 25______ 26 27____ 28 29______ 30_________ 31

Chunks:

(ChunkerEvaluator) Sentence #294 from 00101584 from sent6

Text  : Generalnie , jeśli prześledzimy sposób finansowania tego przedsięwzięcia , to należy wskazać dwa źródła :_ samorząd i_ rodzica ._
Tokens: 1_________ 2 3____ 4___________ 5_____ 6___________ 7___ 8______________ 9 10 11____ 12_____ 13_ 14____ 15 16______ 17 18_____ 19

Chunks:

(ChunkerEvaluator) Sentence #295 from 00101584 from sent7

Text  : Szacuje się , że utrzymanie jednego dziecka w żłobku kosztuje 1116 zł ._
Tokens: 1______ 2__ 3 4_ 5_________ 6______ 7______ 8 9_____ 10______ 11__ 12 13

Chunks:
  TruePositive nam [12,12] = zł (confidence=1.00)

(ChunkerEvaluator) Sentence #296 from 00101584 from sent8

Text  : To są ogromne pieniądze dla samorządu i ogromne pieniądze dla rodzica ._
Tokens: 1_ 2_ 3______ 4________ 5__ 6________ 7 8______ 9________ 10_ 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #297 from 00101584 from sent9

Text  : W zasadzie , jeżeli nie będzie tutaj współpłacenia , a_ myślę ,_ że wiele samorządów sobie na to nie pozwoli ,_ to będą to naprawdę żłobki elitarne ._
Tokens: 1 2_______ 3 4_____ 5__ 6_____ 7____ 8____________ 9 10 11___ 12 13 14___ 15________ 16___ 17 18 19_ 20_____ 21 22 23__ 24 25______ 26____ 27______ 28

Chunks:

(ChunkerEvaluator) Sentence #298 from 00101584 from sent10

Text  : Proszę przyłożyć tę kwotę do średniego wynagrodzenia w Polsce ._
Tokens: 1_____ 2________ 3_ 4____ 5_ 6________ 7____________ 8 9_____ 10

Chunks:
  TruePositive nam [9,9] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #299 from 00101584 from sent11

Text  : Wiemy , że jeśli chodzi o większość , zwłaszcza młodych pracowników ,_ kobiet ,_ wynagrodzenie jest dobre ,_ jeżeli jest w_ granicach 2000 zł netto ,_ na rękę ._
Tokens: 1____ 2 3_ 4____ 5_____ 6 7________ 8 9________ 10_____ 11_________ 12 13____ 14 15___________ 16__ 17___ 18 19____ 20__ 21 22_______ 23__ 24 25___ 26 27 28__ 29

Chunks:
  FalsePositive nam [24,25] = zł netto (confidence=0.98) (incorrect boundry)
  FalseNegative nam [24,24] = zł

(ChunkerEvaluator) Sentence #300 from 00101584 from sent12

Text  : To już jest dobrze .
Tokens: 1_ 2__ 3___ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #301 from 00101584 from sent13

Text  : To jest główna bariera w przypadku tej ustawy , która jest oczekiwana ._
Tokens: 1_ 2___ 3_____ 4______ 5 6________ 7__ 8_____ 9 10___ 11__ 12________ 13

Chunks:

(ChunkerEvaluator) Sentence #302 from 00101584 from sent14

Text  : Chciała by m w pewien sposób przestrzec panią minister ,_ bo prace nad projektem ustawy są bardzo nagłaśniane ,_ a_ ustawa jest oczekiwana ._
Tokens: 1______ 2_ 3 4 5_____ 6_____ 7_________ 8____ 9_______ 10 11 12___ 13_ 14_______ 15____ 16 17____ 18_________ 19 20 21____ 22__ 23________ 24

Chunks:

(ChunkerEvaluator) Sentence #303 from 00101584 from sent15

Text  : Wydaje mi się , że jeżeli projekt przejdzie do etapu realizacji ,_ to będzie ogromne rozczarowanie i_ niezadowolenie tysięcy kobiet ,_ wykształconych ,_ gotowych do podjęcia aktywności zawodowej ,_ ambitnych ,_ które czekają na wyciągnięcie ręki i_ na pomoc ._
Tokens: 1_____ 2_ 3__ 4 5_ 6_____ 7______ 8________ 9_ 10___ 11________ 12 13 14____ 15_____ 16___________ 17 18____________ 19_____ 20____ 21 22____________ 23 24______ 25 26______ 27________ 28_______ 29 30_______ 31 32___ 33_____ 34 35__________ 36__ 37 38 39___ 40

Chunks:

(ChunkerEvaluator) Sentence #304 from 00101584 from sent16

Text  : W zasadzie ta pomoc będzie miała miejsce wtedy , jeżeli miejsce w_ żłobku będzie kosztowało circa 500 zł ._
Tokens: 1 2_______ 3_ 4____ 5_____ 6____ 7______ 8____ 9 10____ 11_____ 12 13____ 14____ 15________ 16___ 17_ 18 19

Chunks:
  TruePositive nam [18,18] = zł (confidence=1.00)

(ChunkerEvaluator) Sentence #305 from 00101584 from sent17

Text  : Dlatego chciała by m dopytać o jedną kwestię .
Tokens: 1______ 2______ 3_ 4 5______ 6 7____ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #306 from 00101584 from sent18

Text  : Pani minister tylko zasygnalizowała , że jest w planie rządowy program współpracy rządu z_ samorządem w_ zakresie dofinansowania żłobków ._
Tokens: 1___ 2_______ 3____ 4______________ 5 6_ 7___ 8 9_____ 10_____ 11_____ 12________ 13___ 14 15________ 16 17______ 18____________ 19_____ 20

Chunks:

(ChunkerEvaluator) Sentence #307 from 00101584 from sent19

Text  : Chciała by m prosić o rozwinięcie tego wątku .
Tokens: 1______ 2_ 3 4_____ 5 6__________ 7___ 8____ 9

Chunks:

(ChunkerEvaluator) Sentence #308 from 00101584 from sent20

Text  : Dziękuję .
Tokens: 1_______ 2

Chunks:

(ChunkerEvaluator) Sentence #309 from 00101584 from sent21

Text  : ( Oklaski )
Tokens: 1 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #310 from 00101584 from sent22

Text  : Wicemarszałek Jerzy Wenderlich :
Tokens: 1____________ 2____ 3_________ 4

Chunks:
  TruePositive nam [2,3] = Jerzy Wenderlich (confidence=1.00)

(ChunkerEvaluator) Sentence #311 from 00101584 from sent23

Text  : Dziękuję bardzo , pani poseł .
Tokens: 1_______ 2_____ 3 4___ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #312 from 00101584 from sent24

Text  : O zabranie głosu i zadanie pytania proszę pana posła Zbysława Owczarskiego ,_ Prawo i_ Sprawiedliwość ._
Tokens: 1 2_______ 3____ 4 5______ 6______ 7_____ 8___ 9____ 10______ 11__________ 12 13___ 14 15____________ 16

Chunks:
  TruePositive nam [10,11] = Zbysława Owczarskiego (confidence=1.00)
  TruePositive nam [13,15] = Prawo i Sprawiedliwość (confidence=1.00)

(ChunkerEvaluator) Sentence #313 from 00101584 from sent25

Text  : Poseł Zbysław Owczarski :
Tokens: 1____ 2______ 3________ 4

Chunks:
  TruePositive nam [2,3] = Zbysław Owczarski (confidence=1.00)

(ChunkerEvaluator) Sentence #314 from 00101584 from sent26

Text  : Dziękuję .
Tokens: 1_______ 2

Chunks:

(ChunkerEvaluator) Sentence #315 from 00101584 from sent27

Text  : Panie Marszałku !
Tokens: 1____ 2________ 3

Chunks:

(ChunkerEvaluator) Sentence #316 from 00101584 from sent28

Text  : Wysoki Sejmie !
Tokens: 1_____ 2_____ 3

Chunks:
  TruePositive nam [2,2] = Sejmie (confidence=0.99)

(ChunkerEvaluator) Sentence #317 from 00101584 from sent29

Text  : Pani Minister !
Tokens: 1___ 2_______ 3

Chunks:
  FalsePositive nam [2,2] = Minister (confidence=0.54) (incorrect boundry)

(ChunkerEvaluator) Sentence #318 from 00101584 from sent30

Text  : Niewątpliwie ten projekt przygotowany przez panią ma dwa bardzo pozytywne aspekty ._
Tokens: 1___________ 2__ 3______ 4___________ 5____ 6____ 7_ 8__ 9_____ 10_______ 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #319 from 00101584 from sent31

Text  : Pierwszy to poszerzenie możliwości , jeśli chodzi o formy sprawowania opieki nad dzieckiem do trzeciego roku życia ._
Tokens: 1_______ 2_ 3__________ 4_________ 5 6____ 7_____ 8 9____ 10_________ 11____ 12_ 13_______ 14 15_______ 16__ 17___ 18

Chunks:

(ChunkerEvaluator) Sentence #320 from 00101584 from sent32

Text  : Drugi to wyprowadzenie żłobków z systemu opieki zdrowotnej , wzorem projektu ustawy przygotowanego już dwa lata wcześniej przez panią minister Kluzik -_ Rostkowską ._
Tokens: 1____ 2_ 3____________ 4______ 5 6______ 7_____ 8_________ 9 10____ 11______ 12____ 13____________ 14_ 15_ 16__ 17_______ 18___ 19___ 20______ 21____ 22 23________ 24

Chunks:
  TruePositive nam [21,23] = Kluzik - Rostkowską (confidence=1.00)

2017-06-14 20:16:56,973 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 23 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101594.xml
(ChunkerEvaluator) Sentence #321 from 00101594 from sent1

Text  : Przystępujemy do rozpatrzenia punktu 9 . porządku dziennego : Sprawozdanie Komisji Infrastruktury oraz Komisji Kultury i_ Środków Przekazu o_ poselskim projekcie uchwały w_ sprawie podjęcia przez Radę Ministrów działań zmierzających do wprowadzenia naziemnej telewizji cyfrowej w_ Polsce (_ druki nr 1684 i_ 1795 )_ ._
Tokens: 1____________ 2_ 3___________ 4_____ 5 6 7_______ 8________ 9 10__________ 11_____ 12____________ 13__ 14_____ 15_____ 16 17_____ 18______ 19 20_______ 21_______ 22_____ 23 24_____ 25______ 26___ 27__ 28_______ 29_____ 30___________ 31 32__________ 33_______ 34_______ 35______ 36 37____ 38 39___ 40 41__ 42 43__ 44 45

Chunks:
  TruePositive nam [11,12] = Komisji Infrastruktury (confidence=0.99)
  TruePositive nam [14,18] = Komisji Kultury i Środków Przekazu (confidence=0.99)
  TruePositive nam [27,28] = Radę Ministrów (confidence=1.00)
  TruePositive nam [37,37] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #322 from 00101594 from sent2

Text  : Proszę o zabranie głosu sprawozdawcę komisji panią poseł Elżbietę Kruk ._
Tokens: 1_____ 2 3_______ 4____ 5___________ 6______ 7____ 8____ 9_______ 10__ 11

Chunks:
  TruePositive nam [9,10] = Elżbietę Kruk (confidence=1.00)

(ChunkerEvaluator) Sentence #323 from 00101594 from sent3

Text  : Proszę bardzo , pani poseł .
Tokens: 1_____ 2_____ 3 4___ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #324 from 00101594 from sent4

Text  : Poseł Sprawozdawca Elżbieta Kruk :
Tokens: 1____ 2___________ 3_______ 4___ 5

Chunks:
  TruePositive nam [3,4] = Elżbieta Kruk (confidence=0.84)
  FalsePositive nam [2,2] = Sprawozdawca (confidence=0.96) (incorrect boundry)

(ChunkerEvaluator) Sentence #325 from 00101594 from sent5

Text  : Panie Marszałku !
Tokens: 1____ 2________ 3

Chunks:

(ChunkerEvaluator) Sentence #326 from 00101594 from sent6

Text  : Wysoka Izbo !
Tokens: 1_____ 2___ 3

Chunks:
  FalsePositive nam [1,2] = Wysoka Izbo (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #327 from 00101594 from sent7

Text  : W imieniu Komisji Infrastruktury i Komisji Kultury i Środków Przekazu przedstawiam sprawozdanie o_ poselskim projekcie uchwały w_ sprawie podjęcia przez Radę Ministrów działań zmierzających do wprowadzenia naziemnej telewizji cyfrowej w_ Polsce ._
Tokens: 1 2______ 3______ 4_____________ 5 6______ 7______ 8 9______ 10______ 11__________ 12__________ 13 14_______ 15_______ 16_____ 17 18_____ 19______ 20___ 21__ 22_______ 23_____ 24___________ 25 26__________ 27_______ 28_______ 29______ 30 31____ 32

Chunks:
  TruePositive nam [3,4] = Komisji Infrastruktury (confidence=1.00)
  TruePositive nam [6,10] = Komisji Kultury i Środków Przekazu (confidence=0.75)
  TruePositive nam [21,22] = Radę Ministrów (confidence=1.00)
  TruePositive nam [31,31] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #328 from 00101594 from sent8

Text  : Informuję Wysoką Izbę , że projekt uchwały skierowano w dniu 10 lutego 2009 r_ ._ do Komisji Infrastruktury ,_ a_ dodatkowo 4_ marca 2009 r_ ._ do Komisji Kultury i_ Środków Przekazu ._
Tokens: 1________ 2_____ 3___ 4 5_ 6______ 7______ 8_________ 9 10__ 11 12____ 13__ 14 15 16 17_____ 18____________ 19 20 21_______ 22 23___ 24__ 25 26 27 28_____ 29_____ 30 31_____ 32______ 33

Chunks:
  TruePositive nam [17,18] = Komisji Infrastruktury (confidence=0.96)
  TruePositive nam [28,32] = Komisji Kultury i Środków Przekazu (confidence=1.00)
  FalsePositive nam [2,3] = Wysoką Izbę (confidence=0.91) (incorrect boundry)

(ChunkerEvaluator) Sentence #329 from 00101594 from sent9

Text  : Pierwsze czytanie odbyło się 18 marca 2009 r .
Tokens: 1_______ 2_______ 3_____ 4__ 5_ 6____ 7___ 8 9

Chunks:

(ChunkerEvaluator) Sentence #330 from 00101594 from sent10

Text  : Tak , proszę państwa , Wysoka Izbo , nie mylę się –_ pierwsze czytanie w_ komisji odbyło się blisko półtora roku temu ._
Tokens: 1__ 2 3_____ 4______ 5 6_____ 7___ 8 9__ 10__ 11_ 12 13______ 14______ 15 16_____ 17____ 18_ 19____ 20_____ 21__ 22__ 23

Chunks:
  FalsePositive nam [6,7] = Wysoka Izbo (confidence=0.95) (incorrect boundry)

(ChunkerEvaluator) Sentence #331 from 00101594 from sent11

Text  : Zanim przystąpię do właściwego sprawozdania , pozwólcie państwo , że jeszcze przypomnę ,_ że w_ dniu 27 maja 2008 r_ ._ w_ Sejmie przedstawiono informację na temat strategii i_ programu działań rządu w_ zakresie wprowadzenia naziemnej telewizji cyfrowej ._
Tokens: 1____ 2_________ 3_ 4_________ 5___________ 6 7________ 8______ 9 10 11_____ 12_______ 13 14 15 16__ 17 18__ 19__ 20 21 22 23____ 24___________ 25________ 26 27___ 28_______ 29 30______ 31_____ 32___ 33 34______ 35__________ 36_______ 37_______ 38______ 39

Chunks:
  TruePositive nam [23,23] = Sejmie (confidence=1.00)

(ChunkerEvaluator) Sentence #332 from 00101594 from sent12

Text  : W debacie , która w tym dniu w najwyższej Izbie się odbyła ,_ wszystkie kluby parlamentarne ,_ zarówno z_ koalicji rządzącej ,_ jak i_ kluby opozycyjne ,_ poddały krytyce zaniechania rządu w_ tym zakresie i_ zgłosiły konkretne postulaty ._
Tokens: 1 2______ 3 4____ 5 6__ 7___ 8 9_________ 10___ 11_ 12____ 13 14_______ 15___ 16___________ 17 18_____ 19 20______ 21_______ 22 23_ 24 25___ 26________ 27 28_____ 29_____ 30_________ 31___ 32 33_ 34______ 35 36______ 37_______ 38_______ 39

Chunks:

(ChunkerEvaluator) Sentence #333 from 00101594 from sent13

Text  : To był rok 2008 , przypominam .
Tokens: 1_ 2__ 3__ 4___ 5 6__________ 7

Chunks:

(ChunkerEvaluator) Sentence #334 from 00101594 from sent14

Text  : W związku z tym Klub Parlamentarny Prawo i Sprawiedliwość przedłożył pod uwagę Wysokiej Izby projekt uchwały ,_ która obejmowała te wszystkie postulaty przedstawione przez ,_ powtórzę ,_ wszystkie kluby parlamentarne ._
Tokens: 1 2______ 3 4__ 5___ 6____________ 7____ 8 9_____________ 10________ 11_ 12___ 13______ 14__ 15_____ 16_____ 17 18___ 19________ 20 21_______ 22_______ 23___________ 24___ 25 26______ 27 28_______ 29___ 30___________ 31

Chunks:
  FalsePositive nam [5,9] = Klub Parlamentarny Prawo i Sprawiedliwość (confidence=0.99) (incorrect boundry)
  FalsePositive nam [13,14] = Wysokiej Izby (confidence=1.00) (incorrect boundry)
  FalseNegative nam [7,9] = Prawo i Sprawiedliwość

(ChunkerEvaluator) Sentence #335 from 00101594 from sent15

Text  : Tekst przedłożonej uchwały brzmi :
Tokens: 1____ 2___________ 3______ 4____ 5

Chunks:

(ChunkerEvaluator) Sentence #336 from 00101594 from sent16

Text  : „ Sejm Rzeczypospolitej Polskiej z głębokim niepokojem przyjmuje przedłożoną przez Radę Ministrów »_ Informację na temat aktualnego stanu przygotowań i_ realizacji programu cyfryzacji telewizji w_ Polsce «_ ._
Tokens: 1 2___ 3_______________ 4_______ 5 6_______ 7_________ 8________ 9__________ 10___ 11__ 12_______ 13 14________ 15 16___ 17________ 18___ 19_________ 20 21________ 22______ 23________ 24_______ 25 26____ 27 28

Chunks:
  TruePositive nam [26,26] = Polsce (confidence=1.00)
  FalsePositive nam [2,4] = Sejm Rzeczypospolitej Polskiej (confidence=1.00) (incorrect boundry)
  FalsePositive nam [11,14] = Radę Ministrów » Informację (confidence=0.99) (incorrect boundry)
  FalseNegative nam [2,2] = Sejm
  FalseNegative nam [3,4] = Rzeczypospolitej Polskiej
  FalseNegative nam [11,12] = Radę Ministrów

(ChunkerEvaluator) Sentence #337 from 00101594 from sent17

Text  : Wprowadzenie w Polsce telewizji cyfrowej , w ramach szerszego procesu konwersji cyfrowej ,_ jest istotnym krokiem w_ kierunku społeczeństwa informacyjnego ._
Tokens: 1___________ 2 3_____ 4________ 5_______ 6 7 8_____ 9________ 10_____ 11_______ 12______ 13 14__ 15______ 16_____ 17 18______ 19___________ 20____________ 21

Chunks:
  TruePositive nam [3,3] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #338 from 00101594 from sent18

Text  : Telewizja cyfrowa będzie bramą do przestrzeni cyfrowej dla wszystkich ._
Tokens: 1________ 2______ 3_____ 4____ 5_ 6__________ 7_______ 8__ 9_________ 10

Chunks:

(ChunkerEvaluator) Sentence #339 from 00101594 from sent19

Text  : Sejm Rzeczypospolitej Polskiej stoi na stanowisku , że priorytetem rządu winny być działania na rzecz wyrównywania szans w_ dostępie Polaków do zdobyczy nowoczesnych technologii i_ tym samym przeciwdziałania wykluczeniu cyfrowemu ._
Tokens: 1___ 2_______________ 3_______ 4___ 5_ 6_________ 7 8_ 9__________ 10___ 11___ 12_ 13_______ 14 15___ 16__________ 17___ 18 19______ 20_____ 21 22______ 23__________ 24_________ 25 26_ 27___ 28______________ 29_________ 30_______ 31

Chunks:
  TruePositive nam [20,20] = Polaków (confidence=0.99)
  FalsePositive nam [1,3] = Sejm Rzeczypospolitej Polskiej (confidence=1.00) (incorrect boundry)
  FalseNegative nam [1,1] = Sejm
  FalseNegative nam [2,3] = Rzeczypospolitej Polskiej

(ChunkerEvaluator) Sentence #340 from 00101594 from sent20

Text  : Stąd wielkie znaczenie procesu cyfryzacji telewizji naziemnej , którego podstawą winien być nie tylko wymiar techniczny ,_ a_ cel społeczny ,_ tj ._ człowiek i_ społeczeństwo informacyjne ._
Tokens: 1___ 2______ 3________ 4______ 5_________ 6________ 7________ 8 9______ 10______ 11____ 12_ 13_ 14___ 15____ 16________ 17 18 19_ 20_______ 21 22 23 24______ 25 26___________ 27__________ 28

Chunks:

2017-06-14 20:16:57,086 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 24 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101605.xml
(ChunkerEvaluator) Sentence #341 from 00101605 from sent1

Text  : Straciwszy ostatnią służbę z powodu dosyć głupiego ( iż nie mógł ten rok jakiś przepatrzeć spokojnie ,_ jak gaździna oszukiwała męża poza oczy )_ stał się już całkiem bezradny i_ jeszcze bardziej tego wszystkiego ,_ co się życiem nazywać zwykło ,_ nierozumiejącym ._
Tokens: 1_________ 2_______ 3_____ 4 5_____ 6____ 7_______ 8 9_ 10_ 11__ 12_ 13_ 14___ 15_________ 16_______ 17 18_ 19______ 20________ 21__ 22__ 23__ 24 25__ 26_ 27_ 28_____ 29______ 30 31_____ 32______ 33__ 34_________ 35 36 37_ 38____ 39_____ 40____ 41 42_____________ 43

Chunks:

(ChunkerEvaluator) Sentence #342 from 00101605 from sent2

Text  : Tak się mu to wszystko pomieszało — i złe i_ dobre ,_ i_ gorsze i_ lepsze ,_ i_ sprawiedliwe i_ niesprawiedliwe —_ że się już do znaku stracił i_ ,_ jakby mu omamienie mgłą na oczach siadło ,_ ujrzał się niby przed jaskinią czarną ,_ którą silił się oczyma przebić czując przy tym ,_ iż gdyby się jego oczom rozwidniła ,_ to już potem wszystko —_ całe życie —_ stanie mu się jasne ._
Tokens: 1__ 2__ 3_ 4_ 5_______ 6_________ 7 8 9__ 10 11___ 12 13 14____ 15 16____ 17 18 19__________ 20 21_____________ 22 23 24_ 25_ 26 27___ 28_____ 29 30 31___ 32 33_______ 34__ 35 36____ 37____ 38 39____ 40_ 41__ 42___ 43______ 44____ 45 46___ 47___ 48_ 49____ 50_____ 51____ 52__ 53_ 54 55 56___ 57_ 58__ 59___ 60________ 61 62 63_ 64___ 65______ 66 67__ 68___ 69 70____ 71 72_ 73___ 74

Chunks:

(ChunkerEvaluator) Sentence #343 from 00101605 from sent3

Text  : Do znaku tak jak we śnie .
Tokens: 1_ 2____ 3__ 4__ 5_ 6___ 7

Chunks:

(ChunkerEvaluator) Sentence #344 from 00101605 from sent4

Text  : I gdy tak silił wzrok w tę ciemność długo ,_ uporczywie —_ a_ na płacz mu się już zbierało z_ tej próżnej niemocy —_ obaczył nagle przed oczyma smoka ,_ który wychylił łeb potworny z_ czarnego otworu ,_ wywalił na patrzącego ozór taki długi ,_ że jak życie życiem nikt pewnie nie widział takiego ozora ,_ i_ cofnął się pomału nazad do jaskini ._
Tokens: 1 2__ 3__ 4____ 5____ 6 7_ 8_______ 9____ 10 11________ 12 13 14 15___ 16 17_ 18_ 19______ 20 21_ 22_____ 23_____ 24 25_____ 26___ 27___ 28____ 29___ 30 31___ 32______ 33_ 34______ 35 36______ 37____ 38 39_____ 40 41________ 42__ 43__ 44___ 45 46 47_ 48___ 49____ 50__ 51____ 52_ 53_____ 54_____ 55___ 56 57 58____ 59_ 60____ 61___ 62 63_____ 64

Chunks:

(ChunkerEvaluator) Sentence #345 from 00101605 from sent5

Text  : Wyraźnie drwił z Kurzawy .
Tokens: 1_______ 2____ 3 4______ 5

Chunks:
  TruePositive nam [4,4] = Kurzawy (confidence=0.97)

(ChunkerEvaluator) Sentence #346 from 00101605 from sent6

Text  : Wtedy to po pierwszy raz napadła tego dobrotliwego z kośćmi człeka taka złość nieopętana i_ —_ można jeszcze dodać —_ taka wściekłość ,_ iż bez momentu namysłu rzucił się ku tej jaskini ,_ aby tę potworę głupią za jednym zamachem zabić ,_ a_ jeżeli się nie da ,_ to przynajmniej po tej drwiącej mordzie skuć tak ,_ iżby się jej posoka puściła ._
Tokens: 1____ 2_ 3_ 4_______ 5__ 6______ 7___ 8___________ 9 10____ 11____ 12__ 13___ 14________ 15 16 17___ 18_____ 19___ 20 21__ 22________ 23 24 25_ 26_____ 27_____ 28____ 29_ 30 31_ 32_____ 33 34_ 35 36_____ 37____ 38 39____ 40______ 41___ 42 43 44____ 45_ 46_ 47 48 49 50__________ 51 52_ 53______ 54_____ 55__ 56_ 57 58__ 59_ 60_ 61____ 62_____ 63

Chunks:

(ChunkerEvaluator) Sentence #347 from 00101605 from sent7

Text  : Ale cóż , gdy już mocno z tym zamiarem ruszył ,_ wszystko mu naraz zniknęło sprzed oczu :_ i_ smok ,_ i_ czarność ,_ i_ jaskini —_ omamienie go odpadło i_ widział jeno dookoła życie podobne jak przedtem ._
Tokens: 1__ 2__ 3 4__ 5__ 6____ 7 8__ 9_______ 10____ 11 12______ 13 14___ 15______ 16____ 17__ 18 19 20__ 21 22 23______ 24 25 26_____ 27 28_______ 29 30_____ 31 32_____ 33__ 34_____ 35___ 36_____ 37_ 38______ 39

Chunks:

(ChunkerEvaluator) Sentence #348 from 00101605 from sent8

Text  : Na kimże się tu mścić ?
Tokens: 1_ 2____ 3__ 4_ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #349 from 00101605 from sent9

Text  : Z tego zabrał się z gminy , zaszedł na odludne działy ,_ które graniczyły z_ wsią sąsiednią —_ a_ że był głodny i_ zmęczony ,_ siadł na rozstajnych drogach i_ nie widząc nikogo z_ ludzi ,_ jeno pustkę ,_ rzekł głośno ,_ z_ przekonaniem :_
Tokens: 1 2___ 3_____ 4__ 5 6____ 7 8______ 9_ 10_____ 11____ 12 13___ 14________ 15 16__ 17_______ 18 19 20 21_ 22____ 23 24______ 25 26___ 27 28_________ 29_____ 30 31_ 32____ 33____ 34 35___ 36 37__ 38____ 39 40___ 41____ 42 43 44__________ 45

Chunks:

(ChunkerEvaluator) Sentence #350 from 00101605 from sent10

Text  : — Nie ma sprawiedliwości .
Tokens: 1 2__ 3_ 4______________ 5

Chunks:

(ChunkerEvaluator) Sentence #351 from 00101605 from sent11

Text  : Potem , gdy sobie , dumając długo , udowodnił na wyraźnych ,_ bo niedawno przeżytych przykładach ,_ iże prawdę powiedział ,_ nie kłamstwo ,_ spytał się znowu tej pustki :_
Tokens: 1____ 2 3__ 4____ 5 6______ 7____ 8 9________ 10 11_______ 12 13 14______ 15________ 16_________ 17 18_ 19____ 20________ 21 22_ 23______ 24 25____ 26_ 27___ 28_ 29____ 30

Chunks:

(ChunkerEvaluator) Sentence #352 from 00101605 from sent12

Text  : — Co czynić ?
Tokens: 1 2_ 3_____ 4

Chunks:

(ChunkerEvaluator) Sentence #353 from 00101605 from sent13

Text  : A że go już raz szarpnęło do bitki — choć to była jeno złuda ,_ co go napastnęła —_ tym pilniej ponowiła się teraz ta chętka ._ ._ ._
Tokens: 1 2_ 3_ 4__ 5__ 6________ 7_ 8____ 9 10__ 11 12__ 13__ 14___ 15 16 17 18________ 19 20_ 21_____ 22______ 23_ 24___ 25 26____ 27 28 29

Chunks:

2017-06-14 20:16:57,200 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 25 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101641.xml
(ChunkerEvaluator) Sentence #354 from 00101641 from sent1

Text  : Wysoka Izbo !
Tokens: 1_____ 2___ 3

Chunks:

(ChunkerEvaluator) Sentence #355 from 00101641 from sent2

Text  : Propozycja rządu przewiduje dokonanie zmian mających na celu przekazanie ministrowi właściwemu do spraw zabezpieczenia społecznego uprawnień nadzorczych nad Zakładem Ubezpieczeń Społecznych ._
Tokens: 1_________ 2____ 3_________ 4________ 5____ 6_______ 7_ 8___ 9__________ 10________ 11________ 12 13___ 14____________ 15_________ 16_______ 17_________ 18_ 19______ 20_________ 21_________ 22

Chunks:
  TruePositive nam [19,21] = Zakładem Ubezpieczeń Społecznych (confidence=0.44)

(ChunkerEvaluator) Sentence #356 from 00101641 from sent3

Text  : Przypomnę , że obecnie nadzór ten sprawuje prezes Rady Ministrów ._
Tokens: 1________ 2 3_ 4______ 5_____ 6__ 7_______ 8_____ 9___ 10_______ 11

Chunks:
  TruePositive nam [9,10] = Rady Ministrów (confidence=0.99)

(ChunkerEvaluator) Sentence #357 from 00101641 from sent4

Text  : Rząd w uzasadnieniu projektu wskazał , że skupienie wszystkich niezbędnych kompetencji w_ ręku jednego organu ,_ jakim jest minister pracy i_ polityki społecznej ,_ przyczyni się do zracjonalizowania procesów decyzyjnych realizowanych przez rząd w_ zakresie zabezpieczenia społecznego oraz pozwoli na uniknięcie wątpliwości i_ sporów kompetencyjnych ._
Tokens: 1___ 2 3___________ 4_______ 5______ 6 7_ 8________ 9_________ 10_________ 11_________ 12 13__ 14_____ 15____ 16 17___ 18__ 19______ 20___ 21 22______ 23________ 24 25_______ 26_ 27 28_______________ 29______ 30_________ 31___________ 32___ 33__ 34 35______ 36____________ 37_________ 38__ 39_____ 40 41________ 42_________ 43 44____ 45_____________ 46

Chunks:

(ChunkerEvaluator) Sentence #358 from 00101641 from sent5

Text  : Decyzją Wysokiej Izby projekt zawarty w druku nr 952 został skierowany do Komisji Polityki Społecznej i_ Rodziny w_ październiku ub ._ r_ ._ ,_ a_ następnie do podkomisji stałej do spraw rynku pracy ._
Tokens: 1______ 2_______ 3___ 4______ 5______ 6 7____ 8_ 9__ 10____ 11________ 12 13_____ 14______ 15________ 16 17_____ 18 19__________ 20 21 22 23 24 25 26_______ 27 28________ 29____ 30 31___ 32___ 33___ 34

Chunks:
  TruePositive nam [13,17] = Komisji Polityki Społecznej i Rodziny (confidence=1.00)
  FalsePositive nam [2,3] = Wysokiej Izby (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #359 from 00101641 from sent6

Text  : Biorąc pod uwagę niejednoznaczną opinię dostarczoną przez Biuro Analiz Sejmowych ,_ poproszono o_ sporządzenie kolejnej ,_ niezależnej ._
Tokens: 1_____ 2__ 3____ 4______________ 5_____ 6__________ 7____ 8____ 9_____ 10_______ 11 12________ 13 14__________ 15______ 16 17_________ 18

Chunks:
  TruePositive nam [8,10] = Biuro Analiz Sejmowych (confidence=1.00)

(ChunkerEvaluator) Sentence #360 from 00101641 from sent7

Text  : Dlatego zarówno podczas prac w podkomisji , jak i podczas przyjmowania sprawozdania przez Komisję Polityki Społecznej i_ Rodziny wprowadzone zostały poprawki zarówno o_ charakterze technicznym ,_ jak i_ merytorycznym ._
Tokens: 1______ 2______ 3______ 4___ 5 6_________ 7 8__ 9 10_____ 11__________ 12__________ 13___ 14_____ 15______ 16________ 17 18_____ 19_________ 20_____ 21______ 22_____ 23 24_________ 25_________ 26 27_ 28 29___________ 30

Chunks:
  TruePositive nam [14,18] = Komisję Polityki Społecznej i Rodziny (confidence=1.00)

(ChunkerEvaluator) Sentence #361 from 00101641 from sent8

Text  : Zmiany techniczne dotyczą art . 2 pkt 6 projektu ,_ w_ którym dopisane zostały wyrazy :_ kropkę zastępuje się średnikiem ._
Tokens: 1_____ 2_________ 3______ 4__ 5 6 7__ 8 9_______ 10 11 12____ 13______ 14_____ 15____ 16 17____ 18_______ 19_ 20________ 21

Chunks:

(ChunkerEvaluator) Sentence #362 from 00101641 from sent9

Text  : Poprawkę techniczną wnieśli śmy również do art . 5 ,_ a_ polegała ona na przeredagowaniu tego artykułu ._
Tokens: 1_______ 2_________ 3______ 4__ 5______ 6_ 7__ 8 9 10 11 12______ 13_ 14 15_____________ 16__ 17______ 18

Chunks:

(ChunkerEvaluator) Sentence #363 from 00101641 from sent10

Text  : Jeśli chodzi o poprawki merytoryczne , pierwsza dotyczy art ._ 2_ pkt 3_ projektu rządowego ,_ gdzie zostało doprecyzowane ,_ że prezes Rady Ministrów odwołuje prezesa Zakładu Ubezpieczeń Społecznych na wniosek ministra właściwego do spraw zabezpieczenia społecznego ._
Tokens: 1____ 2_____ 3 4_______ 5___________ 6 7_______ 8______ 9__ 10 11 12_ 13 14______ 15_______ 16 17___ 18_____ 19___________ 20 21 22____ 23__ 24_______ 25______ 26_____ 27_____ 28_________ 29_________ 30 31_____ 32______ 33________ 34 35___ 36____________ 37_________ 38

Chunks:
  TruePositive nam [23,24] = Rady Ministrów (confidence=0.99)
  TruePositive nam [27,29] = Zakładu Ubezpieczeń Społecznych (confidence=1.00)

(ChunkerEvaluator) Sentence #364 from 00101641 from sent11

Text  : Komisja uznała , że skoro określony minister nadzoruje działalność Zakładu Ubezpieczeń Społecznych i_ wnosi o_ powołanie prezesa tej instytucji ,_ to powinien mieć również wpływ na jego odwołanie ._
Tokens: 1______ 2_____ 3 4_ 5____ 6________ 7_______ 8________ 9__________ 10_____ 11_________ 12_________ 13 14___ 15 16_______ 17_____ 18_ 19________ 20 21 22______ 23__ 24_____ 25___ 26 27__ 28_______ 29

Chunks:
  TruePositive nam [10,12] = Zakładu Ubezpieczeń Społecznych (confidence=1.00)

(ChunkerEvaluator) Sentence #365 from 00101641 from sent12

Text  : Kolejna ważna poprawka merytoryczna dotyczy także art . 2 ,_ ale pkt 4_ projektu ,_ który rozszerzał wymagania szczegółowe ,_ jeśli chodzi o_ osoby ubiegające się o_ stanowisko prezesa Zakładu Ubezpieczeń Społecznych ,_ i_ opisywał procedurę konkursową ._
Tokens: 1______ 2____ 3_______ 4___________ 5______ 6____ 7__ 8 9 10 11_ 12_ 13 14______ 15 16___ 17________ 18_______ 19_________ 20 21___ 22____ 23 24___ 25________ 26_ 27 28________ 29_____ 30_____ 31_________ 32_________ 33 34 35______ 36_______ 37________ 38

Chunks:
  TruePositive nam [30,32] = Zakładu Ubezpieczeń Społecznych (confidence=0.99)

(ChunkerEvaluator) Sentence #366 from 00101641 from sent13

Text  : Zapisy zaproponowane przez rząd zostały już ujęte w nowelizacji ustawy o_ służbie cywilnej ._
Tokens: 1_____ 2____________ 3____ 4___ 5______ 6__ 7____ 8 9__________ 10____ 11 12_____ 13______ 14

Chunks:
  FalseNegative nam [10,13] = ustawy o służbie cywilnej

(ChunkerEvaluator) Sentence #367 from 00101641 from sent14

Text  : Podczas procedowania projektu wykreślili śmy niemal wszystkie zmiany w dodanym art ._ 73a obowiązującej ustawy ,_ pozostawiając jedynie poprawki wskazujące ,_ że minister właściwy do spraw zabezpieczenia społecznego ,_ a_ nie prezes Rady Ministrów ,_ powołuje zespół przeprowadzający nabór na prezesa Zakładu Ubezpieczeń Społecznych i_ to właśnie ministrowi właściwemu do spraw zabezpieczenia społecznego zespół ten przedstawia nie więcej niż trzech kandydatów spełniających wymogi ustawy ._
Tokens: 1______ 2___________ 3_______ 4_________ 5__ 6_____ 7________ 8_____ 9 10_____ 11_ 12 13_ 14___________ 15____ 16 17___________ 18_____ 19______ 20________ 21 22 23______ 24______ 25 26___ 27____________ 28_________ 29 30 31_ 32____ 33__ 34_______ 35 36______ 37____ 38______________ 39___ 40 41_____ 42_____ 43_________ 44_________ 45 46 47_____ 48________ 49________ 50 51___ 52____________ 53_________ 54____ 55_ 56_________ 57_ 58____ 59_ 60____ 61________ 62___________ 63____ 64____ 65

Chunks:
  TruePositive nam [33,34] = Rady Ministrów (confidence=0.98)
  TruePositive nam [42,44] = Zakładu Ubezpieczeń Społecznych (confidence=1.00)

2017-06-14 20:16:57,308 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 26 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101698.xml
(ChunkerEvaluator) Sentence #368 from 00101698 from sent1

Text  : Nowy tydzień i nowe wieści ze świata qmamów .
Tokens: 1___ 2______ 3 4___ 5_____ 6_ 7_____ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #369 from 00101698 from sent2

Text  : Oto kolejni laureaci miesięcznego wyboru w konkursie " Qmam media "_ :_ Szkolne Mury ,_ Młynek ,_ Żabi Głos ,_ Gimnews ,_ Przecinek (_ Głos Młodzieży )_ ,_ Omnibus ._
Tokens: 1__ 2______ 3_______ 4___________ 5_____ 6 7________ 8 9___ 10___ 11 12 13_____ 14__ 15 16____ 17 18__ 19__ 20 21_____ 22 23_______ 24 25__ 26_______ 27 28 29_____ 30

Chunks:
  TruePositive nam [9,10] = Qmam media (confidence=1.00)
  TruePositive nam [13,14] = Szkolne Mury (confidence=0.99)
  TruePositive nam [16,16] = Młynek (confidence=1.00)
  TruePositive nam [18,19] = Żabi Głos (confidence=1.00)
  TruePositive nam [21,21] = Gimnews (confidence=1.00)
  TruePositive nam [29,29] = Omnibus (confidence=0.98)
  FalsePositive nam [23,23] = Przecinek (confidence=0.99) (incorrect boundry)
  FalsePositive nam [25,26] = Głos Młodzieży (confidence=0.98) (incorrect boundry)
  FalseNegative nam [23,27] = Przecinek ( Głos Młodzieży )

(ChunkerEvaluator) Sentence #370 from 00101698 from sent3

Text  : Jury przyznało nagrody w kategorii " qmama warsztatowego " 10 /_ 2010 redakcjom qmamów :_
Tokens: 1___ 2________ 3______ 4 5________ 6 7____ 8____________ 9 10 11 12__ 13_______ 14____ 15

Chunks:

(ChunkerEvaluator) Sentence #371 from 00101698 from sent4

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #372 from 00101698 from sent5

Text  : Szkolne Mury - ZSO w Słomnikach .
Tokens: 1______ 2___ 3 4__ 5 6_________ 7

Chunks:
  TruePositive nam [1,2] = Szkolne Mury (confidence=0.86)
  TruePositive nam [4,4] = ZSO (confidence=0.97)
  TruePositive nam [6,6] = Słomnikach (confidence=0.99)

(ChunkerEvaluator) Sentence #373 from 00101698 from sent6

Text  : - Publicznego Gimnazjum w Młynarach .
Tokens: 1 2__________ 3________ 4 5________ 6

Chunks:
  TruePositive nam [5,5] = Młynarach (confidence=1.00)
  FalseNegative nam [2,3] = Publicznego Gimnazjum

(ChunkerEvaluator) Sentence #374 from 00101698 from sent7

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #375 from 00101698 from sent8

Text  : Żabi Głos - ZSSiO w Gdańsku .
Tokens: 1___ 2___ 3 4____ 5 6______ 7

Chunks:
  TruePositive nam [1,2] = Żabi Głos (confidence=0.87)
  TruePositive nam [4,4] = ZSSiO (confidence=0.84)
  TruePositive nam [6,6] = Gdańsku (confidence=1.00)

(ChunkerEvaluator) Sentence #376 from 00101698 from sent9

Text  : Jury przyznało nagrody w kategorii " qmama cyklicznego " 10 /_ 2010 redakcjom qmamów :_ -_ Zespołu Szkół nr 3_ w_ Wołominie ._
Tokens: 1___ 2________ 3______ 4 5________ 6 7____ 8__________ 9 10 11 12__ 13_______ 14____ 15 16 17_____ 18___ 19 20 21 22_______ 23

Chunks:
  TruePositive nam [17,20] = Zespołu Szkół nr 3 (confidence=1.00)
  TruePositive nam [22,22] = Wołominie (confidence=0.98)

(ChunkerEvaluator) Sentence #377 from 00101698 from sent10

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #378 from 00101698 from sent11

Text  : Przecinek ( Głos Młodzieży ) - Gimnazjum w Niedźwiadzie ._
Tokens: 1________ 2 3___ 4________ 5 6 7________ 8 9___________ 10

Chunks:
  TruePositive nam [7,7] = Gimnazjum (confidence=0.65)
  TruePositive nam [9,9] = Niedźwiadzie (confidence=0.99)
  FalsePositive nam [1,1] = Przecinek (confidence=0.57) (incorrect boundry)
  FalsePositive nam [3,4] = Głos Młodzieży (confidence=0.99) (incorrect boundry)
  FalseNegative nam [1,5] = Przecinek ( Głos Młodzieży )

(ChunkerEvaluator) Sentence #379 from 00101698 from sent12

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #380 from 00101698 from sent13

Text  : Omnibus - Gimnazjum w Gołuchowie .
Tokens: 1______ 2 3________ 4 5_________ 6

Chunks:
  TruePositive nam [1,1] = Omnibus (confidence=1.00)
  TruePositive nam [3,3] = Gimnazjum (confidence=0.94)
  TruePositive nam [5,5] = Gołuchowie (confidence=1.00)

(ChunkerEvaluator) Sentence #381 from 00101698 from sent14

Text  : Laureatom serdecznie gratulujemy !
Tokens: 1________ 2_________ 3__________ 4

Chunks:

(ChunkerEvaluator) Sentence #382 from 00101698 from sent15

Text  : Za tydzień kolejne dobre wiadomości .
Tokens: 1_ 2______ 3______ 4____ 5_________ 6

Chunks:

(ChunkerEvaluator) Sentence #383 from 00101698 from sent16

Text  : Zaglądajcie do portalu
Tokens: 1__________ 2_ 3______

Chunks:

2017-06-14 20:16:57,344 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 27 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101712.xml
(ChunkerEvaluator) Sentence #384 from 00101712 from sent1

Text  : Najciekawsza jest jednak nie technologia , ale wizja pewnego modelu edukacji ,_ jaki za nią stoi ._
Tokens: 1___________ 2___ 3_____ 4__ 5__________ 6 7__ 8____ 9______ 10____ 11______ 12 13__ 14 15_ 16__ 17

Chunks:

(ChunkerEvaluator) Sentence #385 from 00101712 from sent2

Text  : Dotychczasowa praktyka , gdzie zamkniętą na klucz pracownię komputerową otwiera się na lekcje informatyki ,_ to pomyłka ._
Tokens: 1____________ 2_______ 3 4____ 5________ 6_ 7____ 8________ 9__________ 10_____ 11_ 12 13____ 14_________ 15 16 17_____ 18

Chunks:

(ChunkerEvaluator) Sentence #386 from 00101712 from sent3

Text  : Nie tylko dlatego , że uczniowie szybciej i skuteczniej uczą się obsługi komputera w_ domu ._
Tokens: 1__ 2____ 3______ 4 5_ 6________ 7_______ 8 9__________ 10__ 11_ 12_____ 13_______ 14 15__ 16

Chunks:

(ChunkerEvaluator) Sentence #387 from 00101712 from sent4

Text  : Także dlatego , że odcina to nauczycieli od możliwości wykorzystania zaawansowanych narzędzi w_ nauczaniu ich przedmiotów ,_ a_ uczniów od dobrodziejstw profesjonalnej edukacji medialnej ._
Tokens: 1____ 2______ 3 4_ 5_____ 6_ 7__________ 8_ 9_________ 10___________ 11____________ 12______ 13 14_______ 15_ 16_________ 17 18 19_____ 20 21___________ 22____________ 23______ 24_______ 25

Chunks:

(ChunkerEvaluator) Sentence #388 from 00101712 from sent5

Text  : Edukacja medialna to coś więcej niż tylko informatyka .
Tokens: 1_______ 2_______ 3_ 4__ 5_____ 6__ 7____ 8__________ 9

Chunks:

(ChunkerEvaluator) Sentence #389 from 00101712 from sent6

Text  : To nauka wyszukiwania , a następnie krytycznego i twórczego wykorzystywania informacji ._
Tokens: 1_ 2____ 3___________ 4 5 6________ 7__________ 8 9________ 10_____________ 11________ 12

Chunks:

(ChunkerEvaluator) Sentence #390 from 00101712 from sent7

Text  : W czasach społeczeństwa informacyjnego nie można już uczyć starą ,_ industrialną metodą obsługi konkretnego urządzenia czy programu ,_ bo tak wyszkoleni uczniowie nie będą mieli szans na globalnym rynku pracy ._
Tokens: 1 2______ 3____________ 4_____________ 5__ 6____ 7__ 8____ 9____ 10 11__________ 12____ 13_____ 14_________ 15________ 16_ 17______ 18 19 20_ 21________ 22_______ 23_ 24__ 25___ 26___ 27 28_______ 29___ 30___ 31

Chunks:

(ChunkerEvaluator) Sentence #391 from 00101712 from sent8

Text  : Musimy kształtować samodzielność i zdolność do rozwiązywania problemów , bo to właśnie takie „_ miękkie ”_ umiejętności są kluczowe w_ szybko zmieniającym się świecie ._
Tokens: 1_____ 2__________ 3____________ 4 5_______ 6_ 7____________ 8________ 9 10 11 12_____ 13___ 14 15_____ 16 17__________ 18 19______ 20 21____ 22__________ 23_ 24_____ 25

Chunks:

(ChunkerEvaluator) Sentence #392 from 00101712 from sent9

Text  : Edukacyjny laptop zakłada więc jeszcze jedną rzecz : zmianę modelu edukacji na bardziej otwartą ,_ opartą o_ współudział ,_ współtworzenie i_ współpracę ,_ a_ nie pamięciowe opanowanie zadanego materiału ._
Tokens: 1_________ 2_____ 3______ 4___ 5______ 6____ 7____ 8 9_____ 10____ 11______ 12 13______ 14_____ 15 16____ 17 18_________ 19 20____________ 21 22________ 23 24 25_ 26________ 27________ 28______ 29_______ 30

Chunks:

(ChunkerEvaluator) Sentence #393 from 00101712 from sent10

Text  : Żeby z sukcesem wdrożyć edukacyjne laptopy , nie wystarczy więc kupić kilka kontenerów samych maszyn i_ rzucić je do szkół ._
Tokens: 1___ 2 3_______ 4______ 5_________ 6______ 7 8__ 9________ 10__ 11___ 12___ 13________ 14____ 15____ 16 17____ 18 19 20___ 21

Chunks:

(ChunkerEvaluator) Sentence #394 from 00101712 from sent11

Text  : Potrzebne są jeszcze dwa kluczowe elementy : nowe umiejętności nauczycieli i_ darmowe ,_ ogólnodostępne treści edukacyjne (_ podręczniki ,_ zbiory zadań ,_ pomoce )_ w_ formie cyfrowej ,_ wraz z_ pełnią praw do ich twórczego wykorzystania i_ rozwijania ._
Tokens: 1________ 2_ 3______ 4__ 5_______ 6_______ 7 8___ 9___________ 10_________ 11 12_____ 13 14____________ 15____ 16________ 17 18_________ 19 20____ 21___ 22 23____ 24 25 26____ 27______ 28 29__ 30 31____ 32__ 33 34_ 35_______ 36___________ 37 38________ 39

Chunks:

(ChunkerEvaluator) Sentence #395 from 00101712 from sent12

Text  : Dopiero te trzy elementy wzięte razem pozwolą na stworzenie ekosystemu otwartej edukacji opartej o_ cyfrowe technologie ._
Tokens: 1______ 2_ 3___ 4_______ 5_____ 6____ 7______ 8_ 9_________ 10________ 11______ 12______ 13_____ 14 15_____ 16_________ 17

Chunks:

(ChunkerEvaluator) Sentence #396 from 00101712 from sent13

Text  : Rozwój modelu otwartej edukacji w skali globalnej wydaje się dość trwały ._
Tokens: 1_____ 2_____ 3_______ 4_______ 5 6____ 7________ 8_____ 9__ 10__ 11____ 12

Chunks:

(ChunkerEvaluator) Sentence #397 from 00101712 from sent14

Text  : Pytanie , czy także Polska będzie w stanie nadążać za resztą świata ,_ czy będzie raczej obserwować szybkie starzenie się naszego systemu edukacyjnego ._
Tokens: 1______ 2 3__ 4____ 5_____ 6_____ 7 8_____ 9______ 10 11____ 12____ 13 14_ 15____ 16____ 17________ 18_____ 19_______ 20_ 21_____ 22_____ 23__________ 24

Chunks:
  TruePositive nam [5,5] = Polska (confidence=1.00)

2017-06-14 20:16:57,421 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 28 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101773.xml
(ChunkerEvaluator) Sentence #398 from 00101773 from sent1

Text  : Bardzo chciała m wziąć udział w " Cytrusowym Tygodniu "_ ,_ ale oczywiście ,_ była m_ nadal tak osłabiona że ledwo się mogła m_ ruszać ,_ o_ gotowaniu ,_ pieczeniu ,_ i_ jeszcze mniej o_ blogowaniu nie było mowy :_ p_ Ale przynajmniej jeden przepis na cytrusy podam ,_ mimo że na udział w_ akcji za późno ,_ to i_ tak "_ poakcjowo "_ bez udziału też można ._
Tokens: 1_____ 2______ 3 4____ 5_____ 6 7 8_________ 9_______ 10 11 12_ 13________ 14 15__ 16 17___ 18_ 19_______ 20 21___ 22_ 23___ 24 25____ 26 27 28_______ 29 30_______ 31 32 33_____ 34___ 35 36________ 37_ 38__ 39__ 40 41 42_ 43__________ 44___ 45_____ 46 47_____ 48___ 49 50__ 51 52 53____ 54 55___ 56 57___ 58 59 60 61_ 62 63_______ 64 65_ 66_____ 67_ 68___ 69

Chunks:
  TruePositive nam [8,9] = Cytrusowym Tygodniu (confidence=0.94)

(ChunkerEvaluator) Sentence #399 from 00101773 from sent2

Text  : Ta lemoniada zawsze przypomina mi bajkę Perraulta , nie pamiętam która to była ,_ ale występowały tam krasnoludki które mieszkały pod korzeniami drzew ,_ i_ tam właśnie pichciły i_ gotowały ,_ i_ między innymi robiły pyszną lemoniadę ._
Tokens: 1_ 2________ 3_____ 4_________ 5_ 6____ 7________ 8 9__ 10______ 11___ 12 13__ 14 15_ 16_________ 17_ 18_________ 19___ 20_______ 21_ 22________ 23___ 24 25 26_ 27_____ 28______ 29 30______ 31 32 33____ 34____ 35____ 36____ 37_______ 38

Chunks:
  TruePositive nam [7,7] = Perraulta (confidence=1.00)

(ChunkerEvaluator) Sentence #400 from 00101773 from sent3

Text  : I o tych bąbelkach w lemoniadzie ja najlepiej zapamiętała m_ z_ całej tej bajki :_ o_ )_ (_ zdjęcia mam tylko gdy mi się udaje ucelować w_ czas i_ słońce ,_ bez słońca i_ bez czasu zdjęcia "_ wychodzą "_ takie że :_ p_ )_ Złocista lemoniada Składniki (_ na około 1_ litr napoju )_ :_ 1_ litr wody mineralnej albo gazowanej (_ można też normalną przegotowaną zimną wodę )_ 3_ -_ 4_ duże łyżki stołowe syropu z_ agawy (_ albo więcej ,_ do smaku )_ 3_ -_ 4_ duże łyżki stołowe świeżego soku z_ cytryny (_ bez miąższu i__ pestek )__ Wyciskamy sok cytrynowy ,__ odcedzamy miąższ i__ pestki ,__ mieszamy z__ syropem z__ agawy ,__ zalewamy wodą mineralną albo gazowaną .__
Tokens: 1 2 3___ 4________ 5 6__________ 7_ 8________ 9__________ 10 11 12___ 13_ 14___ 15 16 17 18 19_____ 20_ 21___ 22_ 23 24_ 25___ 26______ 27 28__ 29 30____ 31 32_ 33____ 34 35_ 36___ 37_____ 38 39______ 40 41___ 42 43 44 45 46______ 47_______ 48_______ 49 50 51___ 52 53__ 54____ 55 56 57 58__ 59__ 60________ 61__ 62_______ 63 64___ 65_ 66______ 67__________ 68___ 69__ 70 71 72 73 74__ 75___ 76_____ 77____ 78 79___ 80 81__ 82____ 83 84 85___ 86 87 88 89 90__ 91___ 92_____ 93______ 94__ 95 96_____ 97 98_ 99_____ 100 101___ 102 103______ 104 105______ 106 107______ 108___ 109 110___ 111 112_____ 113 114____ 115 116__ 117 118_____ 119_ 120______ 121_ 122_____ 123

Chunks:
  FalsePositive nam [46,48] = Złocista lemoniada Składniki (confidence=0.88) (incorrect boundry)

(ChunkerEvaluator) Sentence #401 from 00101773 from sent4

Text  : Mieszamy , sprawdzamy czy nam odpowiada , w razie czego dodajemy więcej syropu lub cytryny ._
Tokens: 1_______ 2 3_________ 4__ 5__ 6________ 7 8 9____ 10___ 11______ 12____ 13____ 14_ 15_____ 16

Chunks:

(ChunkerEvaluator) Sentence #402 from 00101773 from sent5

Text  : Trzyma się w lodówce przez około tydzień .
Tokens: 1_____ 2__ 3 4______ 5____ 6____ 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #403 from 00101773 from sent6

Text  : Co prawda lemoniada nie brzmi jak przepis na zimę ,_ ale tak naprawdę to u_ nas czasem kaloryfery w_ zimie są tak mocno rozgrzane ,_ że jest aż za ciepło ._
Tokens: 1_ 2_____ 3________ 4__ 5____ 6__ 7______ 8_ 9___ 10 11_ 12_ 13______ 14 15 16_ 17____ 18________ 19 20___ 21 22_ 23___ 24_______ 25 26 27__ 28 29 30____ 31

Chunks:

(ChunkerEvaluator) Sentence #404 from 00101773 from sent7

Text  : A regulować nie ma jak , najwyżej całkowicie wyłączyć ,_ a_ to nawet czasem nie pomaga i_ dalej grzeje :_ p_ Więc często zdarza się że marzę o_ chłodnych napojach ,_ a_ szczególnie lemoniadzie "_ jak z_ bajki "_ :_ )_
Tokens: 1 2________ 3__ 4_ 5__ 6 7_______ 8_________ 9_______ 10 11 12 13___ 14____ 15_ 16____ 17 18___ 19____ 20 21 22__ 23____ 24____ 25_ 26 27___ 28 29_______ 30______ 31 32 33_________ 34_________ 35 36_ 37 38___ 39 40 41

Chunks:

2017-06-14 20:16:57,515 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 29 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101783.xml
(ChunkerEvaluator) Sentence #405 from 00101783 from sent1

Text  : 16 lat temu Polska wyszła z okresu PRL-u jako państwo odbudowane ,_ ale słabe ,_ dręczone rozłamami społecznymi ,_ które mimo usilnych starań socjalistycznego reżimu ,_ choć nieco przytuszowane ,_ nigdy nie zostały zażegnane …_
Tokens: 1_ 2__ 3___ 4_____ 5_____ 6 7_____ 8____ 9___ 10_____ 11________ 12 13_ 14___ 15 16______ 17_______ 18_________ 19 20___ 21__ 22______ 23____ 24______________ 25____ 26 27__ 28___ 29___________ 30 31___ 32_ 33_____ 34_______ 35

Chunks:
  TruePositive nam [4,4] = Polska (confidence=1.00)
  TruePositive nam [8,8] = PRL-u (confidence=1.00)

(ChunkerEvaluator) Sentence #406 from 00101783 from sent2

Text  : Epoka przemian gospodarczych uderzyła w nasz kraj rozwiewając wszelkie miraże ._
Tokens: 1____ 2_______ 3____________ 4_______ 5 6___ 7___ 8__________ 9_______ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #407 from 00101783 from sent3

Text  : Tu nie było już miejsca na jedynie słuszną politykę partii ,_ tu realia wzięły górę nad socjalistycznymi mrzonkami ,_ których nigdy zresztą nie zrealizowano ._
Tokens: 1_ 2__ 3___ 4__ 5______ 6_ 7______ 8______ 9_______ 10____ 11 12 13____ 14____ 15__ 16_ 17______________ 18_______ 19 20_____ 21___ 22_____ 23_ 24__________ 25

Chunks:

(ChunkerEvaluator) Sentence #408 from 00101783 from sent4

Text  : Wszystko to sprawiło , że w Polsce dały o sobie znać dotychczas często ignorowane i_ marginalizowane zjawiska –_ bezrobocie ,_ bezdomność ,_ skrajna bieda i_ ubóstwo ._
Tokens: 1_______ 2_ 3_______ 4 5_ 6 7_____ 8___ 9 10___ 11__ 12________ 13____ 14________ 15 16_____________ 17______ 18 19________ 20 21________ 22 23_____ 24___ 25 26_____ 27

Chunks:
  TruePositive nam [7,7] = Polsce (confidence=1.00)

2017-06-14 20:16:57,542 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 30 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101795.xml
(ChunkerEvaluator) Sentence #409 from 00101795 from sent1

Text  : Aktywiści kampanii opublikowali niedawno Alternatywny Raport Roczny o działalności koncernu ._
Tokens: 1________ 2_______ 3___________ 4_______ 5___________ 6_____ 7_____ 8 9___________ 10______ 11

Chunks:
  TruePositive nam [5,7] = Alternatywny Raport Roczny (confidence=0.96)

(ChunkerEvaluator) Sentence #410 from 00101795 from sent2

Text  : Problemy z koncernem już są dość znane , szczególnie w_ krajach tak jak Nigeria czy Ekwador ,_ gdzie obecnie toczy się proces przeciw firmie o_ 27 mld ._ dolarów odszkodowania dla ofiar złych ekologicznych praktyk koncernu ._
Tokens: 1_______ 2 3________ 4__ 5_ 6___ 7____ 8 9__________ 10 11_____ 12_ 13_ 14_____ 15_ 16_____ 17 18___ 19_____ 20___ 21_ 22____ 23_____ 24____ 25 26 27_ 28 29_____ 30___________ 31_ 32___ 33___ 34___________ 35_____ 36______ 37

Chunks:
  TruePositive nam [14,14] = Nigeria (confidence=1.00)
  TruePositive nam [16,16] = Ekwador (confidence=0.99)
  FalseNegative nam [29,29] = dolarów

(ChunkerEvaluator) Sentence #411 from 00101795 from sent3

Text  : W latach 1972 - 1992 Texaco ( który należy do Chevron )_ wylał do miejscowych rzek ponad 68 mld litrów skażonej wody ._
Tokens: 1 2_____ 3___ 4 5___ 6_____ 7 8____ 9_____ 10 11_____ 12 13___ 14 15_________ 16__ 17___ 18 19_ 20____ 21______ 22__ 23

Chunks:
  TruePositive nam [11,11] = Chevron (confidence=1.00)
  FalseNegative nam [6,6] = Texaco

(ChunkerEvaluator) Sentence #412 from 00101795 from sent4

Text  : To nie jest pierwszy proces przeciw koncernom , ale jest pierwszym ,_ który ma szanse zakończyć się wygraną ofiar ._
Tokens: 1_ 2__ 3___ 4_______ 5_____ 6______ 7________ 8 9__ 10__ 11_______ 12 13___ 14 15____ 16_______ 17_ 18_____ 19___ 20

Chunks:

(ChunkerEvaluator) Sentence #413 from 00101795 from sent5

Text  : Ostatni proces Nigeryjczyków przeciw koncernom , który miał miejsce w_ Stanach ,_ nie miał dużych szans na powodzenie ._
Tokens: 1______ 2_____ 3____________ 4______ 5________ 6 7____ 8___ 9______ 10 11_____ 12 13_ 14__ 15____ 16___ 17 18________ 19

Chunks:
  TruePositive nam [3,3] = Nigeryjczyków (confidence=0.91)
  TruePositive nam [11,11] = Stanach (confidence=1.00)

(ChunkerEvaluator) Sentence #414 from 00101795 from sent6

Text  : 27 maja obywają się walne zgromadzenia koncernu w Kalifornii i_ prawie co rok obywają się także protesty ,_ w_ tym na zgromadzeniu ponieważ niektórzy akcjonariusze także protestują ._
Tokens: 1_ 2___ 3______ 4__ 5____ 6___________ 7_______ 8 9_________ 10 11____ 12 13_ 14_____ 15_ 16___ 17______ 18 19 20_ 21 22__________ 23______ 24_______ 25___________ 26___ 27________ 28

Chunks:
  TruePositive nam [9,9] = Kalifornii (confidence=0.99)

(ChunkerEvaluator) Sentence #415 from 00101795 from sent7

Text  : W tym roku , aktywiści postanowili zorganizować " alternatywne walne zgromadzenia "_ ._
Tokens: 1 2__ 3___ 4 5________ 6__________ 7___________ 8 9___________ 10___ 11__________ 12 13

Chunks:

(ChunkerEvaluator) Sentence #416 from 00101795 from sent8

Text  : Podczas walnego zgromadzenia , grupa aktywistów zablokowała bramę wejściową koncernu ._
Tokens: 1______ 2______ 3___________ 4 5____ 6_________ 7__________ 8____ 9________ 10______ 11

Chunks:

2017-06-14 20:16:57,584 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 31 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101802.xml
(ChunkerEvaluator) Sentence #417 from 00101802 from sent1

Text  : Dwa lata temu na łamach Życia Warszawy Tomasz Piątek mówił :_ Z_ „_ Chatki Puchatka ”_ nauczył em się ,_ że można być patologicznie łakomym idiotą ,_ a_ mimo to dobrym poetą ,_ można być piskliwym tchórzem ,_ a_ mimo to dobrym przyjacielem ,_ można być wrzeszczącym mitomanem ,_ a_ mimo to superzabawowym kolesiem idealnym na imprezę ,_ można być zaaferowanym ważniakiem i_ jakoś z_ tym żyć ,_ można być jęczącym malkontentem nie do wytrzymania i_ żyć z_ tym śpiewająco ._
Tokens: 1__ 2___ 3___ 4_ 5_____ 6____ 7_______ 8_____ 9_____ 10___ 11 12 13 14____ 15______ 16 17_____ 18 19_ 20 21 22___ 23_ 24___________ 25_____ 26____ 27 28 29__ 30 31____ 32___ 33 34___ 35_ 36_______ 37______ 38 39 40__ 41 42____ 43__________ 44 45___ 46_ 47__________ 48_______ 49 50 51__ 52 53____________ 54______ 55______ 56 57_____ 58 59___ 60_ 61__________ 62________ 63 64___ 65 66_ 67_ 68 69___ 70_ 71______ 72__________ 73_ 74 75_________ 76 77_ 78 79_ 80________ 81

Chunks:
  TruePositive nam [6,7] = Życia Warszawy (confidence=0.89)
  TruePositive nam [8,9] = Tomasz Piątek (confidence=0.90)
  TruePositive nam [14,15] = Chatki Puchatka (confidence=0.94)

(ChunkerEvaluator) Sentence #418 from 00101802 from sent2

Text  : Gdyby m czytał Disneyowskie książeczki o Puchatku , wiedział by m_ tylko ,_ że :_ Królik to gnój i_ intrygant ,_ Tygrys to gnój i_ cham ,_ Puchatek i_ Prosiaczek to typowa para homoseksualistów ,_ z_ których jeden ma nadwagę ,_ a_ drugi ciągle się boi ,_ że dostanie w_ ryj ._
Tokens: 1____ 2 3_____ 4___________ 5_________ 6 7_______ 8 9_______ 10 11 12___ 13 14 15 16____ 17 18__ 19 20_______ 21 22____ 23 24__ 25 26__ 27 28______ 29 30________ 31 32____ 33__ 34______________ 35 36 37_____ 38___ 39 40_____ 41 42 43___ 44____ 45_ 46_ 47 48 49______ 50 51_ 52

Chunks:
  TruePositive nam [7,7] = Puchatku (confidence=0.83)
  TruePositive nam [16,16] = Królik (confidence=0.59)
  TruePositive nam [22,22] = Tygrys (confidence=0.92)
  TruePositive nam [28,28] = Puchatek (confidence=1.00)
  TruePositive nam [30,30] = Prosiaczek (confidence=0.79)

2017-06-14 20:16:57,619 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 32 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101805.xml
(ChunkerEvaluator) Sentence #419 from 00101805 from sent1

Text  : Diagnoza Społeczna nie pozostawia wątpliwości , że internet jest w_ Polsce głównie tam ,_ gdzie są uczące się dzieci ,_ a_ dysproporocje w_ jego wykorzystaniu w_ różnych grupach wiekowych są porażające -_ wśród Polaków w_ wieku 16 -_ 24 lata z_ sieci korzysta aż 77 %_ populacji ,_ wśród emerytów -_ 9_ %_ ._
Tokens: 1_______ 2________ 3__ 4_________ 5__________ 6 7_ 8_______ 9___ 10 11____ 12_____ 13_ 14 15___ 16 17____ 18_ 19____ 20 21 22___________ 23 24__ 25___________ 26 27_____ 28_____ 29_______ 30 31________ 32 33___ 34_____ 35 36___ 37 38 39 40__ 41 42___ 43______ 44 45 46 47_______ 48 49___ 50______ 51 52 53 54

Chunks:
  TruePositive nam [8,8] = internet (confidence=0.93)
  TruePositive nam [11,11] = Polsce (confidence=1.00)
  TruePositive nam [34,34] = Polaków (confidence=1.00)
  FalsePositive nam [1,2] = Diagnoza Społeczna (confidence=0.49) (incorrect boundry)

(ChunkerEvaluator) Sentence #420 from 00101805 from sent2

Text  : To ludzie starsi są największymi ofiarami cyfrowego wykluczenia .
Tokens: 1_ 2_____ 3_____ 4_ 5___________ 6_______ 7________ 8__________ 9

Chunks:

(ChunkerEvaluator) Sentence #421 from 00101805 from sent3

Text  : Na pewno najważniejszym czynnikiem są tu finanse , ale myślę ,_ że nie całkiem bez znaczenia jest też poczucie starszych ludzi ,_ że internet jest nie dla nich ,_ że nie ma tam miejsc ,_ które mogły by ich zainteresować ._
Tokens: 1_ 2____ 3_____________ 4_________ 5_ 6_ 7______ 8 9__ 10___ 11 12 13_ 14_____ 15_ 16_______ 17__ 18_ 19______ 20_______ 21___ 22 23 24______ 25__ 26_ 27_ 28__ 29 30 31_ 32 33_ 34____ 35 36___ 37___ 38 39_ 40___________ 41

Chunks:
  TruePositive nam [24,24] = internet (confidence=0.95)

(ChunkerEvaluator) Sentence #422 from 00101805 from sent4

Text  : “ Internetem polskich emerytów ” jest pewnie Radio Maryja ,_ ale może takie projekty internetowe jak Saga mogły by przyciągnąć część z_ tych ludzi do sieci ?_
Tokens: 1 2_________ 3_______ 4_______ 5 6___ 7_____ 8____ 9_____ 10 11_ 12__ 13___ 14______ 15_________ 16_ 17__ 18___ 19 20_________ 21___ 22 23__ 24___ 25 26___ 27

Chunks:
  TruePositive nam [8,9] = Radio Maryja (confidence=1.00)
  TruePositive nam [17,17] = Saga (confidence=1.00)
  FalsePositive nam [2,4] = Internetem polskich emerytów (confidence=0.94) (incorrect boundry)
  FalseNegative nam [2,2] = Internetem

(ChunkerEvaluator) Sentence #423 from 00101805 from sent5

Text  : Oczywiście pozostaje pytanie , czy jest im to potrzebne ._
Tokens: 1_________ 2________ 3______ 4 5__ 6___ 7_ 8_ 9________ 10

Chunks:

(ChunkerEvaluator) Sentence #424 from 00101805 from sent6

Text  : Zakładając jednak , że coraz więcej aktywności przenosimy do internetu ,_ w_ tym kierunku migrują też urzędy ,_ to trzeba powiedzieć ,_ że tak -_ w_ innym wypadku ludzie starsi coraz częściej będą skazani w_ naszym kraju na los obywateli drugiej kategorii ._
Tokens: 1_________ 2_____ 3 4_ 5____ 6_____ 7_________ 8_________ 9_ 10_______ 11 12 13_ 14______ 15_____ 16_ 17____ 18 19 20____ 21________ 22 23 24_ 25 26 27___ 28_____ 29____ 30____ 31___ 32______ 33__ 34_____ 35 36____ 37___ 38 39_ 40_______ 41_____ 42_______ 43

Chunks:
  TruePositive nam [10,10] = internetu (confidence=0.98)

2017-06-14 20:16:57,667 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 33 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101815.xml
(ChunkerEvaluator) Sentence #425 from 00101815 from sent1

Text  : O trzecim typie zacierania się granic między popkulturą a religią możemy mówić wówczas ,_ gdy ta ostatnia staje się religią ._
Tokens: 1 2______ 3____ 4_________ 5__ 6_____ 7_____ 8_________ 9 10_____ 11____ 12___ 13_____ 14 15_ 16 17______ 18___ 19_ 20_____ 21

Chunks:

(ChunkerEvaluator) Sentence #426 from 00101815 from sent2

Text  : Czy kultura popularna jest w stanie stworzyć nową religię ?_
Tokens: 1__ 2______ 3________ 4___ 5 6_____ 7_______ 8___ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #427 from 00101815 from sent3

Text  : Według artykułu zawartego w drugim numerze Kultury Popularnej z 2005 roku ,_ jest to jak najbardziej możliwe [_ Krzysztof Pędziszewski ,_ Rycerze Jedi i_ spis powszechny ,_ „_ Kultura popularna ”_ 2005 ,_ 2_ (_ 12 )_ ,_ s_ ._ 23 ]_ ._
Tokens: 1_____ 2_______ 3________ 4 5_____ 6______ 7______ 8_________ 9 10__ 11__ 12 13__ 14 15_ 16_________ 17_____ 18 19_______ 20__________ 21 22_____ 23__ 24 25__ 26________ 27 28 29_____ 30_______ 31 32__ 33 34 35 36 37 38 39 40 41 42 43

Chunks:
  TruePositive nam [7,8] = Kultury Popularnej (confidence=0.99)
  TruePositive nam [19,20] = Krzysztof Pędziszewski (confidence=1.00)
  TruePositive nam [29,30] = Kultura popularna (confidence=0.78)
  FalsePositive nam [22,23] = Rycerze Jedi (confidence=1.00) (incorrect boundry)
  FalseNegative nam [22,26] = Rycerze Jedi i spis powszechny

(ChunkerEvaluator) Sentence #428 from 00101815 from sent4

Text  : Tekst opisuje wynik spisów powszechnych z Australii oraz Wielkiej Brytanii ._
Tokens: 1____ 2______ 3____ 4_____ 5___________ 6 7________ 8___ 9_______ 10______ 11

Chunks:
  TruePositive nam [7,7] = Australii (confidence=1.00)
  TruePositive nam [9,10] = Wielkiej Brytanii (confidence=1.00)

(ChunkerEvaluator) Sentence #429 from 00101815 from sent5

Text  : W wypadku pierwszego , przeprowadzonego w 2002 roku ponad siedemdziesiąt tysięcy mieszkańców Australii zadeklarowało się jako wyznawcy religii Jedi ._
Tokens: 1 2______ 3_________ 4 5_______________ 6 7___ 8___ 9____ 10____________ 11_____ 12_________ 13_______ 14___________ 15_ 16__ 17______ 18_____ 19__ 20

Chunks:
  TruePositive nam [13,13] = Australii (confidence=1.00)
  TruePositive nam [19,19] = Jedi (confidence=0.99)

(ChunkerEvaluator) Sentence #430 from 00101815 from sent6

Text  : Oznacza to , że jeden na dwustu siedemdziesięciu Australijczyków wyznawało religię wymyśloną przez scenarzystów Gwiezdnych Wojen ._
Tokens: 1______ 2_ 3 4_ 5____ 6_ 7_____ 8_______________ 9______________ 10_______ 11_____ 12_______ 13___ 14__________ 15________ 16___ 17

Chunks:
  TruePositive nam [9,9] = Australijczyków (confidence=1.00)
  TruePositive nam [15,16] = Gwiezdnych Wojen (confidence=0.95)

(ChunkerEvaluator) Sentence #431 from 00101815 from sent7

Text  : W Wielkiej Brytanii w 2001 roku oficjalnie zarejestrowano nawet religię Jediizm ._
Tokens: 1 2_______ 3_______ 4 5___ 6___ 7_________ 8_____________ 9____ 10_____ 11_____ 12

Chunks:
  TruePositive nam [2,3] = Wielkiej Brytanii (confidence=0.99)
  TruePositive nam [11,11] = Jediizm (confidence=1.00)

(ChunkerEvaluator) Sentence #432 from 00101815 from sent8

Text  : Podczas spisu z 2002 roku znalazła się już ona w_ formularzu rozdawanym respondentom ._
Tokens: 1______ 2____ 3 4___ 5___ 6_______ 7__ 8__ 9__ 10 11________ 12________ 13__________ 14

Chunks:

(ChunkerEvaluator) Sentence #433 from 00101815 from sent9

Text  : Trzysta dziewięćdziesiąt tysięcy Brytyjczyków w polu religia zaznaczyło Jedi (_ 0_ ,_ 7_ procent całkowitej populacji )_ ._
Tokens: 1______ 2_______________ 3______ 4___________ 5 6___ 7______ 8_________ 9___ 10 11 12 13 14_____ 15________ 16_______ 17 18

Chunks:
  TruePositive nam [4,4] = Brytyjczyków (confidence=1.00)
  TruePositive nam [9,9] = Jedi (confidence=0.81)

(ChunkerEvaluator) Sentence #434 from 00101815 from sent10

Text  : Niewykluczone jest , że duża część tych , który zadeklarowali się jako wyznawcy Jedi ,_ zrobiła to dla zabawy lub kawału ._
Tokens: 1____________ 2___ 3 4_ 5___ 6____ 7___ 8 9____ 10___________ 11_ 12__ 13______ 14__ 15 16_____ 17 18_ 19____ 20_ 21____ 22

Chunks:
  TruePositive nam [14,14] = Jedi (confidence=0.99)

(ChunkerEvaluator) Sentence #435 from 00101815 from sent11

Text  : Być może postąpiła tak wskutek niechęci , jakie budziła w_ nich konieczność wypełniania długiego kwestionariusza ._
Tokens: 1__ 2___ 3________ 4__ 5______ 6_______ 7 8____ 9______ 10 11__ 12_________ 13_________ 14______ 15_____________ 16

Chunks:

(ChunkerEvaluator) Sentence #436 from 00101815 from sent12

Text  : Z pewnością jednak wiele osób dla draki wpisywało również bardziej tradycyjne religie ,_ jak hinduizm czy szintoizm ,_ faktycznie nie będąc ich wyznawcami ._
Tokens: 1 2________ 3_____ 4____ 5___ 6__ 7____ 8________ 9______ 10______ 11________ 12_____ 13 14_ 15______ 16_ 17_______ 18 19________ 20_ 21___ 22_ 23________ 24

Chunks:

(ChunkerEvaluator) Sentence #437 from 00101815 from sent13

Text  : Nie można zatem traktować Jedaizmu tylko i wyłącznie w kategoriach zabawy ._
Tokens: 1__ 2____ 3____ 4________ 5_______ 6____ 7 8________ 9 10_________ 11____ 12

Chunks:
  TruePositive nam [5,5] = Jedaizmu (confidence=0.99)

(ChunkerEvaluator) Sentence #438 from 00101815 from sent14

Text  : Oczywiście bardzo trudno jest oszacować faktyczną liczbę identyfikujących się z_ nim ludzi ._
Tokens: 1_________ 2_____ 3_____ 4___ 5________ 6________ 7_____ 8_______________ 9__ 10 11_ 12___ 13

Chunks:

(ChunkerEvaluator) Sentence #439 from 00101815 from sent15

Text  : Z całą pewnością istnieje jednak grupa ludzi traktujących sprawę poważnie ._
Tokens: 1 2___ 3________ 4_______ 5_____ 6____ 7____ 8___________ 9_____ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #440 from 00101815 from sent16

Text  : Istnieje również grupa ludzi oddających religijną cześć celebrytom , a_ więc gwiazdom współczesnej popkultury ._
Tokens: 1_______ 2______ 3____ 4____ 5_________ 6________ 7____ 8_________ 9 10 11__ 12______ 13__________ 14________ 15

Chunks:

(ChunkerEvaluator) Sentence #441 from 00101815 from sent17

Text  : Celebrities filmowi , serialowi , sportowi czy muzyczni bardzo często otoczeni są czcią natury wręcz religijnej ._
Tokens: 1__________ 2______ 3 4________ 5 6_______ 7__ 8_______ 9_____ 10____ 11______ 12 13___ 14____ 15___ 16________ 17

Chunks:

(ChunkerEvaluator) Sentence #442 from 00101815 from sent18

Text  : Najczęściej opisywanym w literaturze przedmiotu przypadkiem jest Król Rocka –_ Elvis Presley ._
Tokens: 1__________ 2_________ 3 4__________ 5_________ 6__________ 7___ 8___ 9____ 10 11___ 12_____ 13

Chunks:
  TruePositive nam [8,9] = Król Rocka (confidence=0.99)
  TruePositive nam [11,12] = Elvis Presley (confidence=1.00)

(ChunkerEvaluator) Sentence #443 from 00101815 from sent19

Text  : Wielu akademików dowodzi , że stał się on dzisiaj zjawiskiem religijnym ._
Tokens: 1____ 2_________ 3______ 4 5_ 6___ 7__ 8_ 9______ 10________ 11________ 12

Chunks:

(ChunkerEvaluator) Sentence #444 from 00101815 from sent20

Text  : Twierdzą oni , że po śmierci Elvisa wyłoniła się specyficzna religia ,_ posiadająca własnych proroków (_ sobowtóry Króla )_ ,_ święte teksty (_ muzyka )_ ,_ uczniów (_ fani Elivsa )_ ,_ relikty (_ gadżety i_ pamiątki )_ ,_ pielgrzymki (_ Tupelo lub Graceland )_ ,_ świątynie (_ grób Króla )_ czy kościoły (_ Twenty -_ four -_ Hour Church of Elvis w_ Portland w_ stanie Oregon )_ ._
Tokens: 1_______ 2__ 3 4_ 5_ 6______ 7_____ 8_______ 9__ 10_________ 11_____ 12 13_________ 14______ 15______ 16 17_______ 18___ 19 20 21____ 22____ 23 24____ 25 26 27_____ 28 29__ 30____ 31 32 33_____ 34 35_____ 36 37______ 38 39 40_________ 41 42____ 43_ 44_______ 45 46 47_______ 48 49__ 50___ 51 52_ 53______ 54 55____ 56 57__ 58 59__ 60____ 61 62___ 63 64______ 65 66____ 67____ 68 69

Chunks:
  TruePositive nam [7,7] = Elvisa (confidence=1.00)
  TruePositive nam [18,18] = Króla (confidence=0.92)
  TruePositive nam [30,30] = Elivsa (confidence=0.99)
  TruePositive nam [50,50] = Króla (confidence=0.99)
  TruePositive nam [55,62] = Twenty - four - Hour Church of Elvis (confidence=1.00)
  TruePositive nam [64,64] = Portland (confidence=0.87)
  TruePositive nam [67,67] = Oregon (confidence=0.98)
  FalsePositive nam [42,44] = Tupelo lub Graceland (confidence=0.91) (incorrect boundry)
  FalseNegative nam [42,42] = Tupelo
  FalseNegative nam [44,44] = Graceland

(ChunkerEvaluator) Sentence #445 from 00101815 from sent21

Text  : Fani Elvisa często zaprzeczają , jakoby był on religijną ikoną oraz ,_ że bycie fanem to specyficznego rodzaju kult ._ Być może czynią tak ,_ aby nie narażać się na potępienie ze strony oficjalnych instytucji religijnych po to ,_ aby nie być uznanym za fanatycznych ekscentryków lub ,_ dlatego że nie utożsamiają (_ całkiem słusznie zresztą )_ kultu Elvisa z_ żadnym innym wyznaniem ._
Tokens: 1___ 2_____ 3_____ 4__________ 5 6_____ 7__ 8_ 9________ 10___ 11__ 12 13 14___ 15___ 16 17___________ 18_____ 19__ 20 21_ 22__ 23____ 24_ 25 26_ 27_ 28_____ 29_ 30 31________ 32 33____ 34_________ 35________ 36_________ 37 38 39 40_ 41_ 42_ 43_____ 44 45__________ 46__________ 47_ 48 49_____ 50 51_ 52_________ 53 54_____ 55______ 56_____ 57 58___ 59____ 60 61____ 62___ 63_______ 64

Chunks:
  TruePositive nam [2,2] = Elvisa (confidence=0.98)
  TruePositive nam [59,59] = Elvisa (confidence=1.00)

2017-06-14 20:16:57,781 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 34 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101819.xml
(ChunkerEvaluator) Sentence #446 from 00101819 from sent1

Text  : Plastikowy układ kierowniczy ( bellcrank ) sprawował sie w naszym Rustlerze całkiem dobrze ,_ do czasu aż wymienili śmy obejmy zwrotnic na aluminiowe ._
Tokens: 1_________ 2____ 3__________ 4 5________ 6 7________ 8__ 9 10____ 11_______ 12_____ 13____ 14 15 16___ 17 18_______ 19_ 20____ 21______ 22 23________ 24

Chunks:
  TruePositive nam [11,11] = Rustlerze (confidence=0.98)

(ChunkerEvaluator) Sentence #447 from 00101819 from sent2

Text  : Od tej pory układ kierowniczy był najczęściej uszkadzanym elementem ._
Tokens: 1_ 2__ 3___ 4____ 5__________ 6__ 7__________ 8__________ 9________ 10

Chunks:

(ChunkerEvaluator) Sentence #448 from 00101819 from sent3

Text  : Po skasowaniu trzeciego , zdecydowali śmy się na zakup wersji aluminiowej ,_ którą oferuje firma Integy ._
Tokens: 1_ 2_________ 3________ 4 5__________ 6__ 7__ 8_ 9____ 10____ 11_________ 12 13___ 14_____ 15___ 16____ 17

Chunks:
  TruePositive nam [16,16] = Integy (confidence=1.00)

(ChunkerEvaluator) Sentence #449 from 00101819 from sent4

Text  : Otrzymany zestaw składał sie z elementów widocznych na zdjęciu ._
Tokens: 1________ 2_____ 3______ 4__ 5 6________ 7_________ 8_ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #450 from 00101819 from sent5

Text  : Elementy układu , które w oryginalnym Rustlerze są plastikowe ,_ w_ produkcie Integy wykonano z_ aluminium anodowanego na niebiesko oraz z_ grafitu ._
Tokens: 1_______ 2_____ 3 4____ 5 6__________ 7________ 8_ 9_________ 10 11 12_______ 13____ 14______ 15 16_______ 17_________ 18 19_______ 20__ 21 22_____ 23

Chunks:
  TruePositive nam [7,7] = Rustlerze (confidence=0.99)
  TruePositive nam [13,13] = Integy (confidence=0.99)

(ChunkerEvaluator) Sentence #451 from 00101819 from sent6

Text  : Dodatkowo w zestawie znajdują sie łożyska kulkowe oraz plastikowe panewki ._
Tokens: 1________ 2 3_______ 4_______ 5__ 6______ 7______ 8___ 9_________ 10_____ 11

Chunks:

(ChunkerEvaluator) Sentence #452 from 00101819 from sent7

Text  : Do użytkownika należy decyzja , czy użyje łożysk , czy panewek ._
Tokens: 1_ 2__________ 3_____ 4______ 5 6__ 7____ 8_____ 9 10_ 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #453 from 00101819 from sent8

Text  : Niestety producent nie dostarcza żadnej instrukcji .
Tokens: 1_______ 2________ 3__ 4________ 5_____ 6_________ 7

Chunks:

(ChunkerEvaluator) Sentence #454 from 00101819 from sent9

Text  : Ponieważ konstrukcja układu różni sie nieco od oryginalnej , dołączenie przynajmniej schematu montażu było by na miejscu ,_ zwłaszcza biorąc pod uwagę bardzo wysoką cenę produktu Integy ._
Tokens: 1_______ 2__________ 3_____ 4____ 5__ 6____ 7_ 8__________ 9 10________ 11__________ 12______ 13_____ 14__ 15 16 17_____ 18 19_______ 20____ 21_ 22___ 23____ 24____ 25__ 26______ 27____ 28

Chunks:
  TruePositive nam [27,27] = Integy (confidence=0.99)

(ChunkerEvaluator) Sentence #455 from 00101819 from sent10

Text  : Dużo poważniejszy problem zauważyli śmy przy próbie zmontowania układu ._
Tokens: 1___ 2___________ 3______ 4________ 5__ 6___ 7_____ 8__________ 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #456 from 00101819 from sent11

Text  : Okazało się , że w otwory w aluminium nie sposób wkręcić ani śrub dostarczonych w_ zestawie ,_ ani oryginalnych śrub Rustlera ._
Tokens: 1______ 2__ 3 4_ 5 6_____ 7 8________ 9__ 10____ 11_____ 12_ 13__ 14___________ 15 16______ 17 18_ 19__________ 20__ 21______ 22

Chunks:
  TruePositive nam [21,21] = Rustlera (confidence=1.00)

(ChunkerEvaluator) Sentence #457 from 00101819 from sent12

Text  : Otwory były za wąskie i prawie pozbawione gwintu .
Tokens: 1_____ 2___ 3_ 4_____ 5 6_____ 7_________ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #458 from 00101819 from sent13

Text  : Być może był to wynik anodowania , być może wadliwy egzemplarz ,_ tak czy inaczej produkt w_ takiej postaci nie nadawał sie do użytku ._
Tokens: 1__ 2___ 3__ 4_ 5____ 6_________ 7 8__ 9___ 10_____ 11________ 12 13_ 14_ 15_____ 16_____ 17 18____ 19_____ 20_ 21_____ 22_ 23 24____ 25

Chunks:

(ChunkerEvaluator) Sentence #459 from 00101819 from sent14

Text  : Udali śmy się po pomoc do Adama z RC Smoków ,_ który jest specjalistą od obróbki metalu ._
Tokens: 1____ 2__ 3__ 4_ 5____ 6_ 7____ 8 9_ 10____ 11 12___ 13__ 14_________ 15 16_____ 17____ 18

Chunks:
  TruePositive nam [7,7] = Adama (confidence=1.00)
  TruePositive nam [9,10] = RC Smoków (confidence=1.00)

(ChunkerEvaluator) Sentence #460 from 00101819 from sent15

Text  : Adam precyzyjnie nagwintował wszystkie pięć otworów i dopiero to pozwoliło na wkręcanie śrub ._
Tokens: 1___ 2__________ 3__________ 4________ 5___ 6______ 7 8______ 9_ 10_______ 11 12_______ 13__ 14

Chunks:
  TruePositive nam [1,1] = Adam (confidence=0.95)

(ChunkerEvaluator) Sentence #461 from 00101819 from sent16

Text  : Kolejnym problemem była końcówka drążka kierowniczego ocierająca o grafitową poprzeczkę ._
Tokens: 1_______ 2________ 3___ 4_______ 5_____ 6____________ 7_________ 8 9________ 10________ 11

Chunks:

(ChunkerEvaluator) Sentence #462 from 00101819 from sent17

Text  : Musieli śmy zeszlifować końcówkę , aby umożliwić swobodną pracę układu ._
Tokens: 1______ 2__ 3__________ 4_______ 5 6__ 7________ 8_______ 9____ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #463 from 00101819 from sent18

Text  : Po powyższych przeróbkach całą konstrukcje udało sie już zamontować w_ modelu ._
Tokens: 1_ 2_________ 3__________ 4___ 5__________ 6____ 7__ 8__ 9_________ 10 11____ 12

Chunks:

(ChunkerEvaluator) Sentence #464 from 00101819 from sent19

Text  : Całość działa płynnie i bez zacięć , aczkolwiek nawet na łożyskach nie działa tak lekko ,_ jak można by się spodziewać ._
Tokens: 1_____ 2_____ 3______ 4 5__ 6_____ 7 8_________ 9____ 10 11_______ 12_ 13____ 14_ 15___ 16 17_ 18___ 19 20_ 21________ 22

Chunks:

2017-06-14 20:16:57,856 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 35 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101820.xml
(ChunkerEvaluator) Sentence #465 from 00101820 from sent1

Text  : Na wiosnę 2010 firma Schumacher zaplanowała premierę nowego buggy 2WD o_ nazwie Cougar SV ._
Tokens: 1_ 2_____ 3___ 4____ 5_________ 6__________ 7_______ 8_____ 9____ 10_ 11 12____ 13____ 14 15

Chunks:
  TruePositive nam [5,5] = Schumacher (confidence=1.00)
  TruePositive nam [13,14] = Cougar SV (confidence=0.98)
  FalsePositive nam [10,10] = 2WD (confidence=0.68) (incorrect boundry)

(ChunkerEvaluator) Sentence #466 from 00101820 from sent2

Text  : O modelu wiadomo na razie , że bedzie miał konstrukcję typu "_ mid -_ motor "_ ,_ czyli że silnik będzie miał umieszczony przed tylną osią ._
Tokens: 1 2_____ 3______ 4_ 5____ 6 7_ 8_____ 9___ 10_________ 11__ 12 13_ 14 15___ 16 17 18___ 19 20____ 21____ 22__ 23_________ 24___ 25___ 26__ 27

Chunks:

(ChunkerEvaluator) Sentence #467 from 00101820 from sent3

Text  : Nowe wersje modeli elektrycznych Team Associated
Tokens: 1___ 2_____ 3_____ 4____________ 5___ 6_________

Chunks:
  TruePositive nam [5,6] = Team Associated (confidence=1.00)

(ChunkerEvaluator) Sentence #468 from 00101820 from sent4

Text  : Firma Team Associated wypuściła na rynek nowe wersje swoich flagowych modeli elektrycznych ,_ oznaczone RC10B4 ._ 1_ (_ buggy )_ oraz RC10T4 ._ 1_ (_ truck )_ ._
Tokens: 1____ 2___ 3_________ 4________ 5_ 6____ 7___ 8_____ 9_____ 10_______ 11____ 12___________ 13 14_______ 15____ 16 17 18 19___ 20 21__ 22____ 23 24 25 26___ 27 28

Chunks:
  TruePositive nam [2,3] = Team Associated (confidence=0.77)
  TruePositive nam [15,17] = RC10B4 . 1 (confidence=0.92)
  TruePositive nam [22,24] = RC10T4 . 1 (confidence=0.99)

(ChunkerEvaluator) Sentence #469 from 00101820 from sent5

Text  : Modele dostępne są na razie tylko jako zestawy gotowe do jazdy ._
Tokens: 1_____ 2_______ 3_ 4_ 5____ 6____ 7___ 8______ 9_____ 10 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #470 from 00101820 from sent6

Text  : Zarówno buggy jak i truck oferowane są w dwóch wersjach :_ z_ 17 -_ zwojowym silnikiem szczotkowym lub z_ bezszczotkowym silnikiem 3300kV ._
Tokens: 1______ 2____ 3__ 4 5____ 6________ 7_ 8 9____ 10______ 11 12 13 14 15______ 16_______ 17_________ 18_ 19 20____________ 21_______ 22____ 23

Chunks:

(ChunkerEvaluator) Sentence #471 from 00101820 from sent7

Text  : W obydwu wersjach silnik podłączony jest do regulatora XP SC450 -_ BL ,_ zaś za sterowanie odpowiada 3_ -_ kanałowa aparatura 2_ ._ 4Ghz ._
Tokens: 1 2_____ 3_______ 4_____ 5_________ 6___ 7_ 8_________ 9_ 10___ 11 12 13 14_ 15 16________ 17_______ 18 19 20______ 21_______ 22 23 24__ 25

Chunks:
  TruePositive nam [9,12] = XP SC450 - BL (confidence=0.99)

(ChunkerEvaluator) Sentence #472 from 00101820 from sent8

Text  : Wiecej informacji oraz zdjęcia modeli prezentuje serwis .
Tokens: 1_____ 2_________ 3___ 4______ 5_____ 6_________ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #473 from 00101820 from sent9

Text  : Firma Kyosho opublikowała wstępne informacje na temat modelu Kyosho Inferno MP9e ,_ który powinien pojawić się w_ sprzedaży w_ lutym 2010 ._
Tokens: 1____ 2_____ 3___________ 4______ 5_________ 6_ 7____ 8_____ 9_____ 10_____ 11__ 12 13___ 14______ 15_____ 16_ 17 18_______ 19 20___ 21__ 22

Chunks:
  TruePositive nam [2,2] = Kyosho (confidence=0.52)
  TruePositive nam [9,11] = Kyosho Inferno MP9e (confidence=1.00)

(ChunkerEvaluator) Sentence #474 from 00101820 from sent10

Text  : Będzie to bezszczotkowa konwersja buggy 1 : 8 oparta o_ podwozie Kyosho MP9 ._
Tokens: 1_____ 2_ 3____________ 4________ 5____ 6 7 8 9_____ 10 11______ 12____ 13_ 14

Chunks:
  TruePositive nam [12,13] = Kyosho MP9 (confidence=0.89)

(ChunkerEvaluator) Sentence #475 from 00101820 from sent11

Text  : Zdjęcia dostepne są w serwisie Hyper 10sc - nowy Short Course Truck firmy Ofna ._
Tokens: 1______ 2_______ 3_ 4 5_______ 6____ 7___ 8 9___ 10___ 11____ 12___ 13___ 14__ 15

Chunks:
  TruePositive nam [6,7] = Hyper 10sc (confidence=0.99)
  TruePositive nam [14,14] = Ofna (confidence=0.97)
  FalsePositive nam [10,12] = Short Course Truck (confidence=0.81) (incorrect boundry)

(ChunkerEvaluator) Sentence #476 from 00101820 from sent12

Text  : Firma Ofna zaprezentowała zapowiadany od dawna samochód klasy Short Course Truck ._
Tokens: 1____ 2___ 3_____________ 4__________ 5_ 6____ 7_______ 8____ 9____ 10____ 11___ 12

Chunks:
  TruePositive nam [2,2] = Ofna (confidence=0.91)
  TruePositive nam [9,11] = Short Course Truck (confidence=0.98)

(ChunkerEvaluator) Sentence #477 from 00101820 from sent13

Text  : Model o nazwie Hyper 10sc napędzany jest silnkiem elektrycznym ,_ ale zbudowany jest w_ sposób typowy dla modeli spalinowych ._
Tokens: 1____ 2 3_____ 4____ 5___ 6________ 7___ 8_______ 9___________ 10 11_ 12_______ 13__ 14 15____ 16____ 17_ 18____ 19_________ 20

Chunks:
  TruePositive nam [4,5] = Hyper 10sc (confidence=0.99)

(ChunkerEvaluator) Sentence #478 from 00101820 from sent14

Text  : Konstrukcja oparta jest o aluminiową płytę podłogową , napęd na wszystkie koła przenoszony jest przez trzy dyferencjały ._
Tokens: 1__________ 2_____ 3___ 4 5_________ 6____ 7________ 8 9____ 10 11_______ 12__ 13_________ 14__ 15___ 16__ 17__________ 18

Chunks:

(ChunkerEvaluator) Sentence #479 from 00101820 from sent15

Text  : Wiecej zdjęć w serwisie Red RC oraz na stronie firmy Ofna ._
Tokens: 1_____ 2____ 3 4_______ 5__ 6_ 7___ 8_ 9______ 10___ 11__ 12

Chunks:
  TruePositive nam [5,6] = Red RC (confidence=1.00)
  TruePositive nam [11,11] = Ofna (confidence=1.00)

(ChunkerEvaluator) Sentence #480 from 00101820 from sent16

Text  : Firma Traxxas wypuściła na rynek model Slash w wersji z_ napędem na cztery koła ._
Tokens: 1____ 2______ 3________ 4_ 5____ 6____ 7____ 8 9_____ 10 11_____ 12 13____ 14__ 15

Chunks:
  TruePositive nam [2,2] = Traxxas (confidence=0.92)
  TruePositive nam [7,7] = Slash (confidence=1.00)

(ChunkerEvaluator) Sentence #481 from 00101820 from sent17

Text  : Nowy samochód znacznie różni się od swojego poprzednika 2wd ._
Tokens: 1___ 2_______ 3_______ 4____ 5__ 6_ 7______ 8__________ 9__ 10

Chunks:

(ChunkerEvaluator) Sentence #482 from 00101820 from sent18

Text  : Wyposażony jest między innymi w zupełnie nowe zawieszenie oraz przeniesienie napędu oparte o_ dyferencjały z_ Revo ._
Tokens: 1_________ 2___ 3_____ 4_____ 5 6_______ 7___ 8__________ 9___ 10___________ 11____ 12____ 13 14__________ 15 16__ 17

Chunks:
  TruePositive nam [16,16] = Revo (confidence=0.91)

(ChunkerEvaluator) Sentence #483 from 00101820 from sent19

Text  : Dostępny będzie jedynie jako zestaw gotowy do jazdy ( RTR )_ ,_ z_ bezszczotkowym systemem Velineon i_ radiem 2_ ._ 4Ghz ._
Tokens: 1_______ 2_____ 3______ 4___ 5_____ 6_____ 7_ 8____ 9 10_ 11 12 13 14____________ 15______ 16______ 17 18____ 19 20 21__ 22

Chunks:
  TruePositive nam [16,16] = Velineon (confidence=0.98)
  FalsePositive nam [10,10] = RTR (confidence=0.80) (incorrect boundry)

(ChunkerEvaluator) Sentence #484 from 00101820 from sent20

Text  : Producent przewidział możliwość wymiany fabrycznego regulatora na regulator Mamba Monster z_ oferty Castle Creations ._
Tokens: 1________ 2__________ 3________ 4______ 5__________ 6_________ 7_ 8________ 9____ 10_____ 11 12____ 13____ 14_______ 15

Chunks:
  TruePositive nam [9,10] = Mamba Monster (confidence=1.00)
  TruePositive nam [13,14] = Castle Creations (confidence=0.96)

(ChunkerEvaluator) Sentence #485 from 00101820 from sent21

Text  : Wiecej informacji w serwisie Kyosho Ultima SC
Tokens: 1_____ 2_________ 3 4_______ 5_____ 6_____ 7_

Chunks:
  TruePositive nam [5,7] = Kyosho Ultima SC (confidence=0.97)

(ChunkerEvaluator) Sentence #486 from 00101820 from sent22

Text  : Na Tokyo Hobby Show firma Kyosho zaprezentowała nowy model klasy Short Course Truck o_ nazwie Ultima SC ._
Tokens: 1_ 2____ 3____ 4___ 5____ 6_____ 7_____________ 8___ 9____ 10___ 11___ 12____ 13___ 14 15____ 16____ 17 18

Chunks:
  TruePositive nam [2,4] = Tokyo Hobby Show (confidence=0.88)
  TruePositive nam [6,6] = Kyosho (confidence=0.99)
  TruePositive nam [16,17] = Ultima SC (confidence=0.90)
  FalsePositive nam [11,13] = Short Course Truck (confidence=0.98) (incorrect boundry)

(ChunkerEvaluator) Sentence #487 from 00101820 from sent23

Text  : Pełna specyfikacja nie jest jeszcze znana , wiadomo jedynie że samochód dostępny będzie jako zestaw gotowy do jazdy (_ readyset )_ ._
Tokens: 1____ 2___________ 3__ 4___ 5______ 6____ 7 8______ 9______ 10 11______ 12______ 13____ 14__ 15____ 16____ 17 18___ 19 20______ 21 22

Chunks:

2017-06-14 20:16:57,954 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 36 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101856.xml
(ChunkerEvaluator) Sentence #488 from 00101856 from sent1

Text  : Copyright Alliance , amerykańska organizacja skupiająca takie podmioty , jak MPAA i_ RIAA (_ przedstawiciele przemysłów kultury w_ USA )_ ,_ czyli tzw ._ “_ big content ”_ rozesłała list do osób ubiegających się o_ kandydowanie w_ wyborach prezydenckich w_ USA w_ 2008 r_ ._
Tokens: 1________ 2_______ 3 4__________ 5__________ 6_________ 7____ 8_______ 9 10_ 11__ 12 13__ 14 15_____________ 16________ 17_____ 18 19_ 20 21 22___ 23_ 24 25 26_ 27_____ 28 29_______ 30__ 31 32__ 33__________ 34_ 35 36__________ 37 38______ 39___________ 40 41_ 42 43__ 44 45

Chunks:
  TruePositive nam [1,2] = Copyright Alliance (confidence=0.96)
  TruePositive nam [11,11] = MPAA (confidence=0.98)
  TruePositive nam [13,13] = RIAA (confidence=0.99)
  TruePositive nam [19,19] = USA (confidence=1.00)
  TruePositive nam [41,41] = USA (confidence=1.00)

(ChunkerEvaluator) Sentence #489 from 00101856 from sent2

Text  : List połączony z kwestionariuszem , jak informuje “ ArsTechnica ”_ sonduje stanowisko polityków w_ sprawie copyrightu ._
Tokens: 1___ 2________ 3 4_______________ 5 6__ 7________ 8 9__________ 10 11_____ 12________ 13_______ 14 15_____ 16________ 17

Chunks:
  TruePositive nam [9,9] = ArsTechnica (confidence=0.97)

(ChunkerEvaluator) Sentence #490 from 00101856 from sent3

Text  : CA apeluje o zaostrzenie i większą skuteczność walki z piractwem ,_ dla dobra nie tylko liczącego 11 mln osób przemysłu żyjącego z_ praw autorskich ,_ ale także dla dobra całego społeczeństwa amerykańskiego ._
Tokens: 1_ 2______ 3 4__________ 5 6______ 7__________ 8____ 9 10_______ 11 12_ 13___ 14_ 15___ 16_______ 17 18_ 19__ 20_______ 21______ 22 23__ 24________ 25 26_ 27___ 28_ 29___ 30____ 31___________ 32____________ 33

Chunks:
  FalseNegative nam [1,1] = CA

(ChunkerEvaluator) Sentence #491 from 00101856 from sent4

Text  : Ryan Paul z “ ArsTechnica ” przytomnie zauważa , że zgodnie z_ amerykańską wykładnią konstytucji instytucja copyrightu ma być wynikiem równowagi między koniecznością ochrony praw twórcy a_ koniecznością zapewnienia warunków sprzyjających rozwojowi kreatywności ._
Tokens: 1___ 2___ 3 4 5__________ 6 7_________ 8______ 9 10 11_____ 12 13_________ 14_______ 15_________ 16________ 17________ 18 19_ 20______ 21_______ 22____ 23___________ 24_____ 25__ 26____ 27 28___________ 29_________ 30______ 31___________ 32_______ 33__________ 34

Chunks:
  TruePositive nam [1,2] = Ryan Paul (confidence=1.00)
  TruePositive nam [5,5] = ArsTechnica (confidence=0.96)

(ChunkerEvaluator) Sentence #492 from 00101856 from sent5

Text  : Równowaga ta , zdaniem Paula w ostatnich latach przesunęła się w_ kierunku copyrightu :_ Digital Milennium Copyright Act mocno ograniczył instytucję dozwolonego użytku w_ domenie cyfrowej ,_ a_ Sonny Bono Act wydłużył czas ochrony dzieła ._
Tokens: 1________ 2_ 3 4______ 5____ 6 7________ 8_____ 9_________ 10_ 11 12______ 13________ 14 15_____ 16_______ 17_______ 18_ 19___ 20________ 21________ 22_________ 23____ 24 25_____ 26______ 27 28 29___ 30__ 31_ 32______ 33__ 34_____ 35____ 36

Chunks:
  TruePositive nam [5,5] = Paula (confidence=1.00)
  TruePositive nam [15,18] = Digital Milennium Copyright Act (confidence=0.99)
  TruePositive nam [29,31] = Sonny Bono Act (confidence=1.00)

(ChunkerEvaluator) Sentence #493 from 00101856 from sent6

Text  : W sumie , jak zauważa Paul , powoli wszyscy stają się potencjalnymi przestępcami ,_ bo już tak zaostrzyła się interpretacja praw autorskich ._
Tokens: 1 2____ 3 4__ 5______ 6___ 7 8_____ 9______ 10___ 11_ 12___________ 13__________ 14 15 16_ 17_ 18________ 19_ 20___________ 21__ 22________ 23

Chunks:
  TruePositive nam [6,6] = Paul (confidence=1.00)

(ChunkerEvaluator) Sentence #494 from 00101856 from sent7

Text  : Teraz “ big content ” chcą jeszcze mocniej zaangażować w_ ochronę swoich interesów państwo ._
Tokens: 1____ 2 3__ 4______ 5 6___ 7______ 8______ 9__________ 10 11_____ 12____ 13_______ 14_____ 15

Chunks:

2017-06-14 20:16:58,006 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 37 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101872.xml
(ChunkerEvaluator) Sentence #495 from 00101872 from sent1

Text  : Po negocjacjach burmistrza Ozorkowa z Łódzkim Zakładem Energetycznym udało się osiągnąć porozumienie w_ sprawie uruchomienia windy osobowej budowanej w_ ozorkowskim magistracie ,_ której brakowało źródła zasilania ._
Tokens: 1_ 2___________ 3_________ 4_______ 5 6______ 7_______ 8____________ 9____ 10_ 11______ 12__________ 13 14_____ 15__________ 16___ 17______ 18_______ 19 20_________ 21_________ 22 23____ 24_______ 25____ 26_______ 27

Chunks:
  TruePositive nam [4,4] = Ozorkowa (confidence=1.00)
  TruePositive nam [6,8] = Łódzkim Zakładem Energetycznym (confidence=1.00)

(ChunkerEvaluator) Sentence #496 from 00101872 from sent2

Text  : ŁZE zgodził się wykonać tymczasowe przyłącze energetyczne .
Tokens: 1__ 2______ 3__ 4______ 5_________ 6________ 7___________ 8

Chunks:
  TruePositive nam [1,1] = ŁZE (confidence=0.98)

(ChunkerEvaluator) Sentence #497 from 00101872 from sent3

Text  : Będzie to jednak tylko prowizorka .
Tokens: 1_____ 2_ 3_____ 4____ 5_________ 6

Chunks:

(ChunkerEvaluator) Sentence #498 from 00101872 from sent4

Text  : Przypomnijmy : winda , która ma wozić interesantów urzędu i_ pacjentów mieszczącej się w_ tym samym budynku przychodni zdrowia ,_ mogła by nigdy nie ruszyć ._
Tokens: 1___________ 2 3____ 4 5____ 6_ 7____ 8___________ 9_____ 10 11_______ 12_________ 13_ 14 15_ 16___ 17_____ 18________ 19_____ 20 21___ 22 23___ 24_ 25____ 26

Chunks:

(ChunkerEvaluator) Sentence #499 from 00101872 from sent5

Text  : Władze miasta zapomniały bowiem wystąpić do energetyków z wnioskiem o_ wydanie stosownych warunków zasilania ._
Tokens: 1_____ 2_____ 3_________ 4_____ 5_______ 6_ 7__________ 8 9________ 10 11_____ 12________ 13______ 14_______ 15

Chunks:

(ChunkerEvaluator) Sentence #500 from 00101872 from sent6

Text  : ŁZE odmówił zaś przyłączenia windy do sieci , bo do tego potrzebny jest dodatkowy transformator ,_ a_ jego budowy nie ma w_ planach na ten rok ._
Tokens: 1__ 2______ 3__ 4___________ 5____ 6_ 7____ 8 9_ 10 11__ 12_______ 13__ 14_______ 15___________ 16 17 18__ 19____ 20_ 21 22 23_____ 24 25_ 26_ 27

Chunks:
  TruePositive nam [1,1] = ŁZE (confidence=0.87)

2017-06-14 20:16:58,035 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 38 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101930.xml
(ChunkerEvaluator) Sentence #501 from 00101930 from sent1

Text  : ( 1 )
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #502 from 00101930 from sent2

Text  : Zgodnie z rezolucją Rady Bezpieczeństwa ONZ nr 1970 ( 2011 )_ z_ dnia 26 lutego 2011 r_ ._ ,_ decyzja 2011 /_ 137 /_ WPZiB stanowi o_ embargu na broń ,_ zakazie dotyczącym sprzętu do represji wewnętrznych ,_ a_ także o_ restrykcjach wjazdowych i_ zamrożeniu środków finansowych i_ zasobów gospodarczych określonych osób i_ podmiotów dopuszczających się poważnego naruszania praw człowieka w_ stosunku do osób w_ Libii ,_ w_ tym przez udział w_ naruszających prawo międzynarodowe atakach na ludność cywilną i_ obiekty cywilne ._
Tokens: 1______ 2 3________ 4___ 5_____________ 6__ 7_ 8___ 9 10__ 11 12 13__ 14 15____ 16__ 17 18 19 20_____ 21__ 22 23_ 24 25___ 26_____ 27 28_____ 29 30__ 31 32_____ 33________ 34_____ 35 36______ 37__________ 38 39 40___ 41 42__________ 43________ 44 45________ 46_____ 47_________ 48 49_____ 50___________ 51_________ 52__ 53 54_______ 55_____________ 56_ 57_______ 58________ 59__ 60_______ 61 62______ 63 64__ 65 66___ 67 68 69_ 70___ 71____ 72 73___________ 74___ 75____________ 76_____ 77 78_____ 79_____ 80 81_____ 82_____ 83

Chunks:
  TruePositive nam [66,66] = Libii (confidence=1.00)
  FalsePositive nam [4,5] = Rady Bezpieczeństwa (confidence=1.00) (incorrect boundry)
  FalsePositive nam [6,8] = ONZ nr 1970 (confidence=0.59) (incorrect boundry)
  FalseNegative nam [4,6] = Rady Bezpieczeństwa ONZ

(ChunkerEvaluator) Sentence #503 from 00101930 from sent3

Text  : Te osoby fizyczne lub prawne i podmioty są wymienione w_ załącznikach do wspomnianej decyzji ._
Tokens: 1_ 2____ 3_______ 4__ 5_____ 6 7_______ 8_ 9_________ 10 11__________ 12 13_________ 14_____ 15

Chunks:

(ChunkerEvaluator) Sentence #504 from 00101930 from sent4

Text  : ( 2 )
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #505 from 00101930 from sent5

Text  : Niektóre z tych środków wchodzą w zakres stosowania Traktatu o_ funkcjonowaniu Unii Europejskiej ,_ zatem do ich wdrożenia niezbędne są działania regulacyjne na szczeblu unijnym ,_ w_ szczególności ,_ aby zapewnić jednolite stosowanie tych środków przez podmioty gospodarcze we wszystkich państwach członkowskich ._
Tokens: 1_______ 2 3___ 4______ 5______ 6 7_____ 8_________ 9_______ 10 11____________ 12__ 13__________ 14 15___ 16 17_ 18_______ 19_______ 20 21_______ 22_________ 23 24______ 25_____ 26 27 28___________ 29 30_ 31______ 32_______ 33________ 34__ 35_____ 36___ 37______ 38_________ 39 40________ 41_______ 42___________ 43

Chunks:
  FalsePositive nam [9,9] = Traktatu (confidence=0.90) (incorrect boundry)
  FalsePositive nam [12,13] = Unii Europejskiej (confidence=0.99) (incorrect boundry)
  FalseNegative nam [9,13] = Traktatu o funkcjonowaniu Unii Europejskiej

(ChunkerEvaluator) Sentence #506 from 00101930 from sent6

Text  : ( 3 )
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #507 from 00101930 from sent7

Text  : Niniejsze rozporządzenie nie narusza praw podstawowych i jest zgodne z_ zasadami uznanymi w_ szczególności w_ Karcie praw podstawowych Unii Europejskiej ,_ a_ zwłaszcza z_ prawem do skutecznego środka prawnego i_ do rzetelnego procesu sądowego oraz z_ prawem do ochrony danych osobowych ._
Tokens: 1________ 2_____________ 3__ 4______ 5___ 6___________ 7 8___ 9_____ 10 11______ 12______ 13 14___________ 15 16____ 17__ 18__________ 19__ 20__________ 21 22 23_______ 24 25____ 26 27_________ 28____ 29______ 30 31 32________ 33_____ 34______ 35__ 36 37____ 38 39_____ 40____ 41_______ 42

Chunks:
  FalsePositive nam [19,20] = Unii Europejskiej (confidence=1.00) (incorrect boundry)
  FalseNegative nam [16,20] = Karcie praw podstawowych Unii Europejskiej

(ChunkerEvaluator) Sentence #508 from 00101930 from sent8

Text  : Niniejsze rozporządzenie powinno być stosowane zgodnie z tymi prawami ._
Tokens: 1________ 2_____________ 3______ 4__ 5________ 6______ 7 8___ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #509 from 00101930 from sent9

Text  : ( 4 )
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #510 from 00101930 from sent10

Text  : Niniejsze rozporządzenie jest także w pełni zgodne ze zobowiązaniami państw członkowskich wynikającymi z_ Karty Narodów Zjednoczonych oraz z_ prawnie wiążącym charakterem rezolucji Rady Bezpieczeństwa Organizacji Narodów Zjednoczonych ._
Tokens: 1________ 2_____________ 3___ 4____ 5 6____ 7_____ 8_ 9_____________ 10____ 11___________ 12__________ 13 14___ 15_____ 16___________ 17__ 18 19_____ 20______ 21_________ 22_______ 23__ 24____________ 25_________ 26_____ 27___________ 28

Chunks:
  TruePositive nam [14,16] = Karty Narodów Zjednoczonych (confidence=1.00)
  TruePositive nam [23,27] = Rady Bezpieczeństwa Organizacji Narodów Zjednoczonych (confidence=1.00)

(ChunkerEvaluator) Sentence #511 from 00101930 from sent11

Text  : ( 5 )
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #512 from 00101930 from sent12

Text  : Uprawnienie do zmiany wykazów znajdujących się w załącznikach II i_ III do niniejszego rozporządzenia powinno być wykonywane przez Radę w_ związku z_ konkretnym zagrożeniem dla międzynarodowego pokoju i_ bezpieczeństwa spowodowanym sytuacją w_ Libii oraz w_ celu zapewnienia spójności z_ procedurą zmiany i_ przeglądu załączników III i_ IV do decyzji 2011 /_ 137 /_ WPZiB ._
Tokens: 1__________ 2_ 3_____ 4______ 5___________ 6__ 7 8___________ 9_ 10 11_ 12 13_________ 14____________ 15_____ 16_ 17________ 18___ 19__ 20 21_____ 22 23________ 24_________ 25_ 26______________ 27____ 28 29____________ 30__________ 31______ 32 33___ 34__ 35 36__ 37_________ 38_______ 39 40_______ 41____ 42 43_______ 44_________ 45_ 46 47 48 49_____ 50__ 51 52_ 53 54___ 55

Chunks:
  TruePositive nam [33,33] = Libii (confidence=1.00)
  FalsePositive nam [19,19] = Radę (confidence=0.69) (incorrect boundry)

2017-06-14 20:16:58,112 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 39 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101952.xml
(ChunkerEvaluator) Sentence #513 from 00101952 from sent1

Text  : Niewybaczalnym błędem było by pominięcie bogatej gatunkowo ichtiofauny na terenie stawów ._
Tokens: 1_____________ 2_____ 3___ 4_ 5_________ 6______ 7________ 8__________ 9_ 10_____ 11____ 12

Chunks:

(ChunkerEvaluator) Sentence #514 from 00101952 from sent2

Text  : Skupiają się tam bardzo rzadkie w naszym kraju gatunki takie jak :_ kiełb białopłetwy (_ Gobio albipinnatus )_ czy koza złota (_ Cobitis aurata )_ ._
Tokens: 1_______ 2__ 3__ 4_____ 5______ 6 7_____ 8____ 9______ 10___ 11_ 12 13___ 14_________ 15 16___ 17__________ 18 19_ 20__ 21___ 22 23_____ 24____ 25 26

Chunks:

(ChunkerEvaluator) Sentence #515 from 00101952 from sent3

Text  : Na masową skalę ( 90 % całej produkcji na tych terenach )_ hoduje się karpia (_ Cyprinus carpio )_ ,_ który jest szanowany ze względu na ekologiczną hodowlę nie tylko w_ Polsce ,_ ale i_ w_ Europie ._
Tokens: 1_ 2_____ 3____ 4 5_ 6 7____ 8________ 9_ 10__ 11______ 12 13____ 14_ 15____ 16 17______ 18____ 19 20 21___ 22__ 23_______ 24 25_____ 26 27_________ 28_____ 29_ 30___ 31 32____ 33 34_ 35 36 37_____ 38

Chunks:
  TruePositive nam [32,32] = Polsce (confidence=1.00)
  TruePositive nam [37,37] = Europie (confidence=1.00)

(ChunkerEvaluator) Sentence #516 from 00101952 from sent4

Text  : W stawach hodowany jest także lin ( Tinca tinca )_ ,_ sandacz (_ Stizostedion lucioperca )_ czy szczupak (_ Esox Lucius )_ ._
Tokens: 1 2______ 3_______ 4___ 5____ 6__ 7 8____ 9____ 10 11 12_____ 13 14__________ 15________ 16 17_ 18______ 19 20__ 21____ 22 23

Chunks:
  FalsePositive nam [20,21] = Esox Lucius (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #517 from 00101952 from sent5

Text  : Ciekawostką jest występowanie pstrąga potokowego ( Salmo trutta fario )_ w_ górnej części rzeki Sąsiecznicy ._
Tokens: 1__________ 2___ 3___________ 4______ 5_________ 6 7____ 8_____ 9____ 10 11 12____ 13____ 14___ 15_________ 16

Chunks:
  TruePositive nam [15,15] = Sąsiecznicy (confidence=0.96)

(ChunkerEvaluator) Sentence #518 from 00101952 from sent6

Text  : Oprócz ptaków i ryb występują tam także cenne gatunki ssaków (_ których jest ponad 50 )_ :_ m_ ._ in ._ gacek szary (_ Plecotus austriacus )_ ,_ nocek wąsatek (_ Myotis mystacinus )_ ,_ sarna (_ Capreolus capreolus )_ ,_ daniel (_ Dama dama )_ ,_ piżmak (_ Ondatra zibethicus )_ ,_ wydra (_ Lutrinae )_ ,_ a_ nawet jenot (_ Nyctereutes procyonoides )_ czy norka amerykańska (_ Neovison vison )_ ._
Tokens: 1_____ 2_____ 3 4__ 5________ 6__ 7____ 8____ 9______ 10____ 11 12_____ 13__ 14___ 15 16 17 18 19 20 21 22___ 23___ 24 25______ 26________ 27 28 29___ 30_____ 31 32____ 33________ 34 35 36___ 37 38_______ 39_______ 40 41 42____ 43 44__ 45__ 46 47 48____ 49 50_____ 51________ 52 53 54___ 55 56______ 57 58 59 60___ 61___ 62 63_________ 64__________ 65 66_ 67___ 68_________ 69 70______ 71___ 72 73

Chunks:
  FalsePositive nam [25,26] = Plecotus austriacus (confidence=0.68) (incorrect boundry)
  FalsePositive nam [32,33] = Myotis mystacinus (confidence=0.65) (incorrect boundry)
  FalsePositive nam [38,39] = Capreolus capreolus (confidence=0.51) (incorrect boundry)
  FalsePositive nam [50,51] = Ondatra zibethicus (confidence=0.59) (incorrect boundry)
  FalsePositive nam [56,56] = Lutrinae (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #519 from 00101952 from sent7

Text  : Z herpetofauny możemy wyróżnić m . in . : rzekotkę drzewną (_ Hyla arboreta )_ ,_ traszkę zwyczajną (_ Lissotriton vulgaris )_ ,_ traszkę grzebieniastą (_ Triturus cristatus )_ ,_ żabę moczarową (_ Rana arvalis )_ ,_ padalca (_ Anguis fragilis )_ czy żmiję zygzakowatą (_ Vipera berus )_ ._
Tokens: 1 2___________ 3_____ 4_______ 5 6 7_ 8 9 10______ 11_____ 12 13__ 14______ 15 16 17_____ 18_______ 19 20_________ 21______ 22 23 24_____ 25___________ 26 27______ 28_______ 29 30 31__ 32_______ 33 34__ 35_____ 36 37 38_____ 39 40____ 41______ 42 43_ 44___ 45_________ 46 47____ 48___ 49 50

Chunks:
  FalsePositive nam [20,21] = Lissotriton vulgaris (confidence=0.52) (incorrect boundry)
  FalsePositive nam [27,28] = Triturus cristatus (confidence=0.79) (incorrect boundry)
  FalsePositive nam [34,35] = Rana arvalis (confidence=0.98) (incorrect boundry)
  FalsePositive nam [47,48] = Vipera berus (confidence=0.67) (incorrect boundry)

(ChunkerEvaluator) Sentence #520 from 00101952 from sent8

Text  : Czy na ptaki , czy na ssaki warto tam pojechać ,_ zobaczyć –_ byle z_ bezpiecznej odległości –_ i_ sfotografować ._
Tokens: 1__ 2_ 3____ 4 5__ 6_ 7____ 8____ 9__ 10______ 11 12______ 13 14__ 15 16_________ 17________ 18 19 20___________ 21

Chunks:

(ChunkerEvaluator) Sentence #521 from 00101952 from sent9

Text  : W tym celu właśnie powstały ścieżki i punkty obserwatorskie ,_ aby tereny nie były dewastowane przez skrywających się potajemnie i_ płoszących zwierzaki pseudo -_ obserwatorów ._
Tokens: 1 2__ 3___ 4______ 5_______ 6______ 7 8_____ 9_____________ 10 11_ 12____ 13_ 14__ 15_________ 16___ 17__________ 18_ 19________ 20 21________ 22_______ 23____ 24 25__________ 26

Chunks:

(ChunkerEvaluator) Sentence #522 from 00101952 from sent10

Text  : Dostosujmy się zatem do przepisów wybierając się na teren Parku Krajobrazowego Doliny Baryczy ._
Tokens: 1_________ 2__ 3____ 4_ 5________ 6_________ 7__ 8_ 9____ 10___ 11____________ 12____ 13_____ 14

Chunks:
  TruePositive nam [10,13] = Parku Krajobrazowego Doliny Baryczy (confidence=0.98)

(ChunkerEvaluator) Sentence #523 from 00101952 from sent11

Text  : Obszar jak każdy naturalny jest zagrożony zanikiem i wyginięciem ,_ przez ostatnie lata wiele gatunków ptaków straciło status lęgowych ,_ a_ ssaki takie jak daniele (_ Dama dama )_ czy sarny (_ Capreolus capreolus )_ są co raz częściej kłusowane ,_ a_ dzik (_ Sus strofa )_ ,_ sarna (_ Capreolus capreolus )_ ,_ jeleń (_ Cervus elaphus )_ –_ eliminowane przez myśliwych w_ ramach "_ kontroli "_ nad populacją ._
Tokens: 1_____ 2__ 3____ 4________ 5___ 6________ 7_______ 8 9__________ 10 11___ 12______ 13__ 14___ 15______ 16____ 17______ 18____ 19______ 20 21 22___ 23___ 24_ 25_____ 26 27__ 28__ 29 30_ 31___ 32 33_______ 34_______ 35 36 37 38_ 39______ 40_______ 41 42 43__ 44 45_ 46____ 47 48 49___ 50 51_______ 52_______ 53 54 55___ 56 57____ 58_____ 59 60 61_________ 62___ 63_______ 64 65____ 66 67______ 68 69_ 70_______ 71

Chunks:
  FalsePositive nam [1,1] = Obszar (confidence=0.58) (incorrect boundry)
  FalsePositive nam [45,46] = Sus strofa (confidence=0.76) (incorrect boundry)

(ChunkerEvaluator) Sentence #524 from 00101952 from sent12

Text  : Inne uciekają od zbliżających się zabudowań w poszukiwaniu jedzenia ._
Tokens: 1___ 2_______ 3_ 4___________ 5__ 6________ 7 8___________ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #525 from 00101952 from sent13

Text  : Warto przyczynić się do zadbania o nasze najbardziej cenne tereny ,_ a_ takimi niewątpliwie są rezerwaty w_ Parku Krajobrazowym Doliny Baryczy ._
Tokens: 1____ 2_________ 3__ 4_ 5_______ 6 7____ 8__________ 9____ 10____ 11 12 13____ 14__________ 15 16_______ 17 18___ 19___________ 20____ 21_____ 22

Chunks:
  TruePositive nam [18,21] = Parku Krajobrazowym Doliny Baryczy (confidence=0.99)

2017-06-14 20:16:58,215 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 40 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102035.xml
(ChunkerEvaluator) Sentence #526 from 00102035 from sent1

Text  : W listopadzie i grudniu Fundacja Nowe Media przeprowadzi 12 warsztatów dziennikarskich dla najmłodszych ._
Tokens: 1 2__________ 3 4______ 5_______ 6___ 7____ 8___________ 9_ 10________ 11_____________ 12_ 13__________ 14

Chunks:
  TruePositive nam [5,7] = Fundacja Nowe Media (confidence=1.00)

(ChunkerEvaluator) Sentence #527 from 00102035 from sent2

Text  : W ramach zajęć na Uniwersytecie Dziecięcym UNIKIDS animatorka fundacji –_ Anna Mańkowska -_ przekaże dzieciom podstawy wiedzy medialnej i_ umiejętności dziennikarskich ._
Tokens: 1 2_____ 3____ 4_ 5____________ 6_________ 7______ 8_________ 9_______ 10 11__ 12_______ 13 14______ 15______ 16______ 17____ 18_______ 19 20__________ 21_____________ 22

Chunks:
  TruePositive nam [5,7] = Uniwersytecie Dziecięcym UNIKIDS (confidence=1.00)
  TruePositive nam [11,12] = Anna Mańkowska (confidence=1.00)

(ChunkerEvaluator) Sentence #528 from 00102035 from sent3

Text  : Warsztaty skierowane są do dzieci ciekawych świata , które chciały by się dowiedzieć jak wygląda praca w_ redakcji prasowej ,_ radiowej oraz telewizyjnej ._
Tokens: 1________ 2_________ 3_ 4_ 5_____ 6________ 7_____ 8 9____ 10_____ 11 12_ 13________ 14_ 15_____ 16___ 17 18______ 19______ 20 21______ 22__ 23__________ 24

Chunks:

(ChunkerEvaluator) Sentence #529 from 00102035 from sent4

Text  : Terminy warsztatów w Jaworznie :
Tokens: 1______ 2_________ 3 4________ 5

Chunks:
  TruePositive nam [4,4] = Jaworznie (confidence=1.00)

(ChunkerEvaluator) Sentence #530 from 00102035 from sent5

Text  : 2 . 11 . 2010 – warsztaty dla dzieci w_ wieku 6_ -_ 7_ lat ;_
Tokens: 1 2 3_ 4 5___ 6 7________ 8__ 9_____ 10 11___ 12 13 14 15_ 16

Chunks:

(ChunkerEvaluator) Sentence #531 from 00102035 from sent6

Text  : 2 . 11 . 2010 – warsztaty dla dzieci w_ wieku 10 -_ 12 lat
Tokens: 1 2 3_ 4 5___ 6 7________ 8__ 9_____ 10 11___ 12 13 14 15_

Chunks:

(ChunkerEvaluator) Sentence #532 from 00102035 from sent7

Text  : 9 . 11 . 2010 – warsztaty dla dzieci w_ wieku 6_ -_ 7_ lat ;_
Tokens: 1 2 3_ 4 5___ 6 7________ 8__ 9_____ 10 11___ 12 13 14 15_ 16

Chunks:

(ChunkerEvaluator) Sentence #533 from 00102035 from sent8

Text  : 9 . 11 . 2010 – warsztaty dla dzieci w_ wieku 8_ -_ 9_ lat
Tokens: 1 2 3_ 4 5___ 6 7________ 8__ 9_____ 10 11___ 12 13 14 15_

Chunks:

(ChunkerEvaluator) Sentence #534 from 00102035 from sent9

Text  : 16 . 11 . 2010 – warsztaty dla dzieci w_ wieku 6_ -_ 7_ lat ;_
Tokens: 1_ 2 3_ 4 5___ 6 7________ 8__ 9_____ 10 11___ 12 13 14 15_ 16

Chunks:

(ChunkerEvaluator) Sentence #535 from 00102035 from sent10

Text  : 16 . 11 . 2010 – warsztaty dla dzieci w_ wieku 10 -_ 12 lat
Tokens: 1_ 2 3_ 4 5___ 6 7________ 8__ 9_____ 10 11___ 12 13 14 15_

Chunks:

(ChunkerEvaluator) Sentence #536 from 00102035 from sent11

Text  : 23 . 11 . 2010 – warsztaty dla dzieci w_ wieku 6_ -_ 7_ lat ;_
Tokens: 1_ 2 3_ 4 5___ 6 7________ 8__ 9_____ 10 11___ 12 13 14 15_ 16

Chunks:

(ChunkerEvaluator) Sentence #537 from 00102035 from sent12

Text  : 23 . 11 . 2010 – warsztaty dla dzieci w_ wieku 8_ -_ 9_ lat
Tokens: 1_ 2 3_ 4 5___ 6 7________ 8__ 9_____ 10 11___ 12 13 14 15_

Chunks:

(ChunkerEvaluator) Sentence #538 from 00102035 from sent13

Text  : w Katowicach :
Tokens: 1 2_________ 3

Chunks:
  TruePositive nam [2,2] = Katowicach (confidence=1.00)

(ChunkerEvaluator) Sentence #539 from 00102035 from sent14

Text  : Styczeń 2011 – warsztaty dla dzieci w wieku 6 -_ 7_ lat ;_
Tokens: 1______ 2___ 3 4________ 5__ 6_____ 7 8____ 9 10 11 12_ 13

Chunks:

(ChunkerEvaluator) Sentence #540 from 00102035 from sent15

Text  : Styczeń 2011 – warsztaty dla dzieci w wieku 10 -_ 12 lat
Tokens: 1______ 2___ 3 4________ 5__ 6_____ 7 8____ 9_ 10 11 12_

Chunks:

(ChunkerEvaluator) Sentence #541 from 00102035 from sent16

Text  : Styczeń 2011 - warsztaty dla dzieci w wieku 6 -_ 7_ lat ;_
Tokens: 1______ 2___ 3 4________ 5__ 6_____ 7 8____ 9 10 11 12_ 13

Chunks:

(ChunkerEvaluator) Sentence #542 from 00102035 from sent17

Text  : Styczeń 2011 - warsztaty dla dzieci w wieku 8 -_ 9_ lat
Tokens: 1______ 2___ 3 4________ 5__ 6_____ 7 8____ 9 10 11 12_

Chunks:

(ChunkerEvaluator) Sentence #543 from 00102035 from sent18

Text  : Można już przeczytać qmamy , stworzone podczas warsztatów !
Tokens: 1____ 2__ 3_________ 4____ 5 6________ 7______ 8_________ 9

Chunks:

2017-06-14 20:16:58,275 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 41 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102082.xml
(ChunkerEvaluator) Sentence #544 from 00102082 from sent1

Text  : Jakiś czas temu na blogu e - learning 2 ._ 0_ pojawiło się zestawienie 25 najlepszych zdaniem autora stron z_ darmowymi kursami ._
Tokens: 1____ 2___ 3___ 4_ 5____ 6 7 8_______ 9 10 11 12______ 13_ 14_________ 15 16_________ 17_____ 18____ 19___ 20 21_______ 22_____ 23

Chunks:
  FalseNegative nam [6,11] = e - learning 2 . 0

(ChunkerEvaluator) Sentence #545 from 00102082 from sent2

Text  : Listę znajdziecie tutaj .
Tokens: 1____ 2__________ 3____ 4

Chunks:

(ChunkerEvaluator) Sentence #546 from 00102082 from sent3

Text  : Jej skład jest doprawdy imponujący i każdy znajdzie coś dla siebie -_ bez względu na to ,_ czy interesują go studia kulturowe ,_ czy informatyka ._
Tokens: 1__ 2____ 3___ 4_______ 5_________ 6 7____ 8_______ 9__ 10_ 11____ 12 13_ 14_____ 15 16 17 18_ 19________ 20 21____ 22_______ 23 24_ 25_________ 26

Chunks:

(ChunkerEvaluator) Sentence #547 from 00102082 from sent4

Text  : Prym wiodą oczywiście dobre amerykańskie uczelnie , ale pojawia się też np ._ serwis BBC ._
Tokens: 1___ 2____ 3_________ 4____ 5___________ 6_______ 7 8__ 9______ 10_ 11_ 12 13 14____ 15_ 16

Chunks:
  TruePositive nam [15,15] = BBC (confidence=0.99)

(ChunkerEvaluator) Sentence #548 from 00102082 from sent5

Text  : Może macie też jakieś własne typy ?
Tokens: 1___ 2____ 3__ 4_____ 5_____ 6___ 7

Chunks:

(ChunkerEvaluator) Sentence #549 from 00102082 from sent6

Text  : A może wiecie coś o podobnych polskich repozytoriach ?
Tokens: 1 2___ 3_____ 4__ 5 6________ 7_______ 8____________ 9

Chunks:

(ChunkerEvaluator) Sentence #550 from 00102082 from sent7

Text  : TVP w ramach realizacji swojej misji planuje umieszczenie w sieci nagrań ze swojego archiwum (_ przecież nie wszystkie się zestarzały )_ ._
Tokens: 1__ 2 3_____ 4_________ 5_____ 6____ 7______ 8___________ 9 10___ 11____ 12 13_____ 14______ 15 16______ 17_ 18_______ 19_ 20________ 21 22

Chunks:
  TruePositive nam [1,1] = TVP (confidence=0.66)

(ChunkerEvaluator) Sentence #551 from 00102082 from sent8

Text  : A skoro już o polskich blogach , to od niedawna ruszyło kolejne ciekawe miejsce -_ Altergranie ,_ blog poświęcony kulturowej analizie gier wideo ._
Tokens: 1 2____ 3__ 4 5_______ 6______ 7 8_ 9_ 10______ 11_____ 12_____ 13_____ 14_____ 15 16_________ 17 18__ 19________ 20________ 21______ 22__ 23___ 24

Chunks:
  TruePositive nam [16,16] = Altergranie (confidence=0.97)

(ChunkerEvaluator) Sentence #552 from 00102082 from sent9

Text  : Oprócz wpisów autorki ( swoją drogą miło , że kolejna osoba przełamuje maskulinistyczny wizerunek tej działki )_ znajdziecie tam całkiem sporo linków do stron anglojęzycznych ._
Tokens: 1_____ 2_____ 3______ 4 5____ 6____ 7___ 8 9_ 10_____ 11___ 12________ 13______________ 14_______ 15_ 16_____ 17 18_________ 19_ 20_____ 21___ 22____ 23 24___ 25_____________ 26

Chunks:

(ChunkerEvaluator) Sentence #553 from 00102082 from sent10

Text  : W Europie Zachodniej i USA takich blogów są setki ,_ a_ kilka ważnych obecnie dla ludologii postaci wypromowało się właśnie za sprawą podobnych stron ._
Tokens: 1 2______ 3_________ 4 5__ 6_____ 7_____ 8_ 9____ 10 11 12___ 13_____ 14_____ 15_ 16_______ 17_____ 18_________ 19_ 20_____ 21 22____ 23_______ 24___ 25

Chunks:
  TruePositive nam [2,3] = Europie Zachodniej (confidence=1.00)
  TruePositive nam [5,5] = USA (confidence=0.93)

(ChunkerEvaluator) Sentence #554 from 00102082 from sent11

Text  : U nas sytuacja wygląda nieco inaczej , z tym większą przyjemnością witam jedną z_ pierwszych “_ jaskółek ”_ ._
Tokens: 1 2__ 3_______ 4______ 5____ 6______ 7 8 9__ 10_____ 11___________ 12___ 13___ 14 15________ 16 17______ 18 19

Chunks:

2017-06-14 20:16:58,326 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 42 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102088.xml
(ChunkerEvaluator) Sentence #555 from 00102088 from sent1

Text  : Dziś na boisku Bzura podejmowała zespól z Aleksandrowa Łódzkiego ._
Tokens: 1___ 2_ 3_____ 4____ 5__________ 6_____ 7 8___________ 9________ 10

Chunks:
  TruePositive nam [4,4] = Bzura (confidence=1.00)
  TruePositive nam [8,9] = Aleksandrowa Łódzkiego (confidence=1.00)

(ChunkerEvaluator) Sentence #556 from 00102088 from sent2

Text  : Ten mecz zakończył sie wynikiem 3 : 2 dla naszych piłkarzy ._
Tokens: 1__ 2___ 3________ 4__ 5_______ 6 7 8 9__ 10_____ 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #557 from 00102088 from sent3

Text  : Zagrali bardzo Dobrze ,
Tokens: 1______ 2_____ 3_____ 4

Chunks:

(ChunkerEvaluator) Sentence #558 from 00102088 from sent4

Text  : Zapraszam wszystkich na najbardziej oczekiwane spotkanie IV Ligi .
Tokens: 1________ 2_________ 3_ 4__________ 5_________ 6________ 7_ 8___ 9

Chunks:
  FalsePositive nam [7,8] = IV Ligi (confidence=0.95) (incorrect boundry)

(ChunkerEvaluator) Sentence #559 from 00102088 from sent5

Text  : Bzura Ozorków zmierzy sie w sobote z liderem czwartej ligi Ceramiką Paradyż ._
Tokens: 1____ 2______ 3______ 4__ 5 6_____ 7 8______ 9_______ 10__ 11______ 12_____ 13

Chunks:
  TruePositive nam [1,2] = Bzura Ozorków (confidence=0.99)
  TruePositive nam [11,12] = Ceramiką Paradyż (confidence=1.00)

(ChunkerEvaluator) Sentence #560 from 00102088 from sent6

Text  : Dla podopiecznych Sławomira Wojtczaka będzie to decydujący mecz jeżeli Bzura wygra ten mecz ma nawet szanse na objęcie 1_ miejsca w_ tabeli i_ wejścia do trzeciej ligi ._
Tokens: 1__ 2____________ 3________ 4________ 5_____ 6_ 7_________ 8___ 9_____ 10___ 11___ 12_ 13__ 14 15___ 16____ 17 18_____ 19 20_____ 21 22____ 23 24_____ 25 26______ 27__ 28

Chunks:
  TruePositive nam [3,4] = Sławomira Wojtczaka (confidence=1.00)
  TruePositive nam [10,10] = Bzura (confidence=1.00)

(ChunkerEvaluator) Sentence #561 from 00102088 from sent7

Text  : Bzura wygrała z MKP Zgierz 3 : 1 0 :_ 1_ Janeczko (_ 3_ )_ Kozlik 1_ :_ 1_ (_ 17 )_ Koziak 1_ :_ 2_ (_ 20 )_ Herski 1_ :_ 3_ (_ 75 )_ ._
Tokens: 1____ 2______ 3 4__ 5_____ 6 7 8 9 10 11 12______ 13 14 15 16____ 17 18 19 20 21 22 23____ 24 25 26 27 28 29 30____ 31 32 33 34 35 36 37

Chunks:
  TruePositive nam [1,1] = Bzura (confidence=0.85)
  TruePositive nam [4,5] = MKP Zgierz (confidence=1.00)
  TruePositive nam [16,16] = Kozlik (confidence=0.73)
  TruePositive nam [30,30] = Herski (confidence=0.95)
  FalseNegative nam [12,12] = Janeczko
  FalseNegative nam [23,23] = Koziak

(ChunkerEvaluator) Sentence #562 from 00102088 from sent8

Text  : MKP Zgierz zajmuje 14 miejsce , a Bzura dobre 7_ miejsce ._ ._ ._
Tokens: 1__ 2_____ 3______ 4_ 5______ 6 7 8____ 9____ 10 11_____ 12 13 14

Chunks:
  TruePositive nam [1,2] = MKP Zgierz (confidence=1.00)
  TruePositive nam [8,8] = Bzura (confidence=1.00)

(ChunkerEvaluator) Sentence #563 from 00102088 from sent9

Text  : Piłkarze Bzury po dobrym meczu pokonali u siebie zespół Omega Kleszczów 4_ :_ 0_ (_ 2_ :_ 0_ )_ ._
Tokens: 1_______ 2____ 3_ 4_____ 5____ 6_______ 7 8_____ 9_____ 10___ 11_______ 12 13 14 15 16 17 18 19 20

Chunks:
  TruePositive nam [2,2] = Bzury (confidence=1.00)
  TruePositive nam [10,11] = Omega Kleszczów (confidence=1.00)

(ChunkerEvaluator) Sentence #564 from 00102088 from sent10

Text  : Bramki : Stankiewicz ( 27 ' ) , Podolski (_ 39 '_ )_ ,_ Ziemniak (_ 85 '_ )_ ,_ Karolak (_ 79 '_ )_ ._
Tokens: 1_____ 2 3__________ 4 5_ 6 7 8 9_______ 10 11 12 13 14 15______ 16 17 18 19 20 21_____ 22 23 24 25 26

Chunks:
  TruePositive nam [3,3] = Stankiewicz (confidence=0.99)
  TruePositive nam [9,9] = Podolski (confidence=0.98)
  TruePositive nam [15,15] = Ziemniak (confidence=0.91)
  TruePositive nam [21,21] = Karolak (confidence=0.99)

(ChunkerEvaluator) Sentence #565 from 00102088 from sent11

Text  : Po 20 kolejkach MKP zajmuje w tabeli 7 miejsce ._
Tokens: 1_ 2_ 3________ 4__ 5______ 6 7_____ 8 9______ 10

Chunks:
  TruePositive nam [4,4] = MKP (confidence=0.99)

(ChunkerEvaluator) Sentence #566 from 00102088 from sent12

Text  : Liderem pozostaje wciąż Ceramika Paradyż .
Tokens: 1______ 2________ 3____ 4_______ 5______ 6

Chunks:
  TruePositive nam [4,5] = Ceramika Paradyż (confidence=0.99)

(ChunkerEvaluator) Sentence #567 from 00102088 from sent13

Text  : Niestety , juniorzy Bzury Ozorków przegrali wszystkie swoje mecze i_ nie weszli do finału MP ._
Tokens: 1_______ 2 3_______ 4____ 5______ 6________ 7________ 8____ 9____ 10 11_ 12____ 13 14____ 15 16

Chunks:
  TruePositive nam [4,5] = Bzury Ozorków (confidence=1.00)
  FalsePositive nam [15,15] = MP (confidence=0.97) (incorrect boundry)

(ChunkerEvaluator) Sentence #568 from 00102088 from sent14

Text  : Turniej w którym grali ozorkowianie odbywał się w Poznaniu (_ piątek ,_ sobota ,_ niedziela )_ ._
Tokens: 1______ 2 3_____ 4____ 5___________ 6______ 7__ 8 9_______ 10 11____ 12 13____ 14 15_______ 16 17

Chunks:
  TruePositive nam [9,9] = Poznaniu (confidence=1.00)
  FalseNegative nam [5,5] = ozorkowianie

2017-06-14 20:16:58,384 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 43 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102106.xml
(ChunkerEvaluator) Sentence #569 from 00102106 from sent1

Text  : Program Dni Parzęczewa 17 - 18 czerwca 2006
Tokens: 1______ 2__ 3_________ 4_ 5 6_ 7______ 8___

Chunks:
  TruePositive nam [2,3] = Dni Parzęczewa (confidence=0.68)

(ChunkerEvaluator) Sentence #570 from 00102106 from sent2

Text  : Sobota
Tokens: 1_____

Chunks:
  FalsePositive nam [1,1] = Sobota (confidence=0.55) (incorrect boundry)

(ChunkerEvaluator) Sentence #571 from 00102106 from sent3

Text  : 17 . 00 – przegląd młodzieżowych zespołów amatorskich
Tokens: 1_ 2 3_ 4 5_______ 6____________ 7_______ 8__________

Chunks:

(ChunkerEvaluator) Sentence #572 from 00102106 from sent4

Text  : 19 . 00 – występy lokalnych zespołów muzycznych
Tokens: 1_ 2 3_ 4 5______ 6________ 7_______ 8_________

Chunks:

(ChunkerEvaluator) Sentence #573 from 00102106 from sent5

Text  : 20 . 00 – koncert zespołu SPRINGER SHOW
Tokens: 1_ 2 3_ 4 5______ 6______ 7_______ 8___

Chunks:
  TruePositive nam [7,8] = SPRINGER SHOW (confidence=0.99)

(ChunkerEvaluator) Sentence #574 from 00102106 from sent6

Text  : 21 . 30 – koncert zespołu MROWISKO
Tokens: 1_ 2 3_ 4 5______ 6______ 7_______

Chunks:
  TruePositive nam [7,7] = MROWISKO (confidence=0.89)

(ChunkerEvaluator) Sentence #575 from 00102106 from sent7

Text  : 23 . 00 – dyskoteka
Tokens: 1_ 2 3_ 4 5________

Chunks:

(ChunkerEvaluator) Sentence #576 from 00102106 from sent8

Text  : Niedziela
Tokens: 1________

Chunks:

(ChunkerEvaluator) Sentence #577 from 00102106 from sent9

Text  : 11 . 30 – Msza Św . w Kościele N_ ._ M_ ._ P_ w_ Parzęczewie
Tokens: 1_ 2 3_ 4 5___ 6_ 7 8 9_______ 10 11 12 13 14 15 16_________

Chunks:
  TruePositive nam [9,14] = Kościele N . M . P (confidence=0.76)
  TruePositive nam [16,16] = Parzęczewie (confidence=0.72)
  FalsePositive nam [5,7] = Msza Św . (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #578 from 00102106 from sent10

Text  : 13 . 15 – kapela i zespoły śpiewacze z gminy Parzęczew
Tokens: 1_ 2 3_ 4 5_____ 6 7______ 8________ 9 10___ 11_______

Chunks:
  TruePositive nam [11,11] = Parzęczew (confidence=1.00)

(ChunkerEvaluator) Sentence #579 from 00102106 from sent11

Text  : 14 . 00 – występ zespołu pieśni i tańca ANILANA
Tokens: 1_ 2 3_ 4 5_____ 6______ 7_____ 8 9____ 10_____

Chunks:
  TruePositive nam [10,10] = ANILANA (confidence=0.96)

(ChunkerEvaluator) Sentence #580 from 00102106 from sent12

Text  : 15 . 30 – zespoły tańca współczesnego i towarzyskiego
Tokens: 1_ 2 3_ 4 5______ 6____ 7____________ 8 9____________

Chunks:

(ChunkerEvaluator) Sentence #581 from 00102106 from sent13

Text  : 16 . 30 – przemówienia : Wójta oraz gości zaproszonych ,_ wręczenie odznaki "_ Zasłużony dla Gminy Parzęczew "_
Tokens: 1_ 2 3_ 4 5___________ 6 7____ 8___ 9____ 10__________ 11 12_______ 13_____ 14 15_______ 16_ 17___ 18_______ 19

Chunks:
  TruePositive nam [15,18] = Zasłużony dla Gminy Parzęczew (confidence=0.99)
  FalsePositive nam [7,7] = Wójta (confidence=0.95) (incorrect boundry)

(ChunkerEvaluator) Sentence #582 from 00102106 from sent14

Text  : 17 . 00 – kabaret JURKI
Tokens: 1_ 2 3_ 4 5______ 6____

Chunks:
  TruePositive nam [6,6] = JURKI (confidence=0.96)

(ChunkerEvaluator) Sentence #583 from 00102106 from sent15

Text  : 18 . 00 – występy lokalnych zespołów muzycznych
Tokens: 1_ 2 3_ 4 5______ 6________ 7_______ 8_________

Chunks:

(ChunkerEvaluator) Sentence #584 from 00102106 from sent16

Text  : 19 . 00 – koncert BEATY NOSZCZYŃSKIEJ
Tokens: 1_ 2 3_ 4 5______ 6____ 7____________

Chunks:
  TruePositive nam [6,7] = BEATY NOSZCZYŃSKIEJ (confidence=1.00)

(ChunkerEvaluator) Sentence #585 from 00102106 from sent17

Text  : 19 . 45 – koncert zespołu STREFA ZERO
Tokens: 1_ 2 3_ 4 5______ 6______ 7_____ 8___

Chunks:
  TruePositive nam [7,8] = STREFA ZERO (confidence=0.99)

(ChunkerEvaluator) Sentence #586 from 00102106 from sent18

Text  : 21 . 00 – koncert zespołu VAVAMUFFIN
Tokens: 1_ 2 3_ 4 5______ 6______ 7_________

Chunks:
  TruePositive nam [7,7] = VAVAMUFFIN (confidence=0.94)

2017-06-14 20:16:58,424 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 44 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102223.xml
(ChunkerEvaluator) Sentence #587 from 00102223 from sent1

Text  : 7 ) wartość działki legalizacyjnej ( e ) - umowną wartość wyrażoną w_ jednostkach miary masy stosowaną do badań ,_ kontroli i_ klasyfikacji wagi ;_
Tokens: 1 2 3______ 4______ 5_____________ 6 7 8 9 10____ 11_____ 12______ 13 14_________ 15___ 16__ 17_______ 18 19___ 20 21______ 22 23__________ 24__ 25

Chunks:

(ChunkerEvaluator) Sentence #588 from 00102223 from sent2

Text  : 8 ) urządzenie wskazujące sumowanie - zespół wagi wskazujący liczbę odważonych porcji lub sumę wartości mas wszystkich ,_ kolejno odważonych porcji ,_ połączonych następnie w_ jedną całość ;_
Tokens: 1 2 3_________ 4_________ 5________ 6 7_____ 8___ 9_________ 10____ 11________ 12____ 13_ 14__ 15______ 16_ 17________ 18 19_____ 20________ 21____ 22 23_________ 24_______ 25 26___ 27____ 28

Chunks:

(ChunkerEvaluator) Sentence #589 from 00102223 from sent3

Text  : 9 ) urządzenie wskazujące częściowe sumowanie - urządzenie wskazujące liczbę odważonych porcji lub sumę wartości mas określonej liczby kolejno odważonych porcji ,_ połączonych następnie w_ całość ;_
Tokens: 1 2 3_________ 4_________ 5________ 6________ 7 8_________ 9_________ 10____ 11________ 12____ 13_ 14__ 15______ 16_ 17________ 18____ 19_____ 20________ 21____ 22 23_________ 24_______ 25 26____ 27

Chunks:

(ChunkerEvaluator) Sentence #590 from 00102223 from sent4

Text  : 10 ) dodatkowe urządzenie wskazujące sumowanie - urządzenie wskazujące z_ wartością działki większą od wartości działki sumowania ,_ podające liczbę odważonych porcji lub sumę wartości mas kolejno odważonych porcji w_ dłuższym okresie czasu ;_ 11 )_ minimalna masa sumowania (_ m_ min )_ -_ najmniejszą wartość masy towaru masowego ,_ jaka może być zsumowana z_ błędem nieprzekraczającym błędów granicznych dopuszczalnych ,_ przy automatycznym odważaniu porcji o_ wartościach mas zawartych w_ zakresie ważenia wagi ;_
Tokens: 1_ 2 3________ 4_________ 5_________ 6________ 7 8_________ 9_________ 10 11_______ 12_____ 13_____ 14 15______ 16_____ 17_______ 18 19______ 20____ 21________ 22____ 23_ 24__ 25______ 26_ 27_____ 28________ 29____ 30 31______ 32_____ 33___ 34 35 36 37_______ 38__ 39_______ 40 41 42_ 43 44 45_________ 46_____ 47__ 48____ 49______ 50 51__ 52__ 53_ 54_______ 55 56____ 57________________ 58____ 59_________ 60____________ 61 62__ 63___________ 64_______ 65____ 66 67_________ 68_ 69_______ 70 71______ 72_____ 73__ 74

Chunks:

(ChunkerEvaluator) Sentence #591 from 00102223 from sent5

Text  : 12 ) urządzenie zerujące - urządzenie do nastawiania wskazania zerowego ,_ gdy nośnia ładunku jest nieobciążona ;_
Tokens: 1_ 2 3_________ 4_______ 5 6_________ 7_ 8__________ 9________ 10______ 11 12_ 13____ 14_____ 15__ 16__________ 17

Chunks:

(ChunkerEvaluator) Sentence #592 from 00102223 from sent6

Text  : 13 ) cykl automatycznego odważania - następujące po sobie operacje :_
Tokens: 1_ 2 3___ 4_____________ 5________ 6 7__________ 8_ 9____ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #593 from 00102223 from sent7

Text  : a ) dostarczenia pojedynczej porcji na nośnię ładunku ,
Tokens: 1 2 3___________ 4__________ 5_____ 6_ 7_____ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #594 from 00102223 from sent8

Text  : b ) zważenia pojedynczej porcji ,
Tokens: 1 2 3_______ 4__________ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #595 from 00102223 from sent9

Text  : c ) przeniesienia pojedynczej porcji i połączenie jej w jedną całość z_ porcjami wcześniej odważonymi ;_
Tokens: 1 2 3____________ 4__________ 5_____ 6 7_________ 8__ 9 10___ 11____ 12 13______ 14_______ 15________ 16

Chunks:

(ChunkerEvaluator) Sentence #596 from 00102223 from sent10

Text  : 14 ) błędy graniczne dopuszczalne wagi - określone wartości skrajne błędu ;_
Tokens: 1_ 2 3____ 4________ 5___________ 6___ 7 8________ 9_______ 10_____ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #597 from 00102223 from sent11

Text  : 15 ) klasa dokładności wag - klasę wag spełniających określone wymagania metrologiczne i_ których błędy są zawarte w_ wyznaczonych granicach ._
Tokens: 1_ 2 3____ 4__________ 5__ 6 7____ 8__ 9____________ 10_______ 11_______ 12___________ 13 14_____ 15___ 16 17_____ 18 19__________ 20_______ 21

Chunks:

(ChunkerEvaluator) Sentence #598 from 00102223 from sent12

Text  : Rozdział 2
Tokens: 1_______ 2

Chunks:

(ChunkerEvaluator) Sentence #599 from 00102223 from sent13

Text  : Wymagania metrologiczne w zakresie konstrukcji i wykonania wag
Tokens: 1________ 2____________ 3 4_______ 5__________ 6 7________ 8__

Chunks:

(ChunkerEvaluator) Sentence #600 from 00102223 from sent14

Text  : § 2 .
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #601 from 00102223 from sent15

Text  : Waga może być skonstruowana jako :
Tokens: 1___ 2___ 3__ 4____________ 5___ 6

Chunks:

(ChunkerEvaluator) Sentence #602 from 00102223 from sent16

Text  : 1 ) waga , w której odważone porcje towaru mają stałą ,_ zaprogramowaną wartość masy ,_ a_ wynik ważenia towaru masowego wyznaczany jest jako iloczyn masy porcji i_ liczby odważeń ;_
Tokens: 1 2 3___ 4 5 6_____ 7_______ 8_____ 9_____ 10__ 11___ 12 13____________ 14_____ 15__ 16 17 18___ 19_____ 20____ 21______ 22________ 23__ 24__ 25_____ 26__ 27____ 28 29____ 30_____ 31

Chunks:

(ChunkerEvaluator) Sentence #603 from 00102223 from sent17

Text  : 2 ) waga , w której zaprogramowane porcje towaru ważone są oddzielnie ,_ a_ wynik ważenia towaru masowego wyznaczany jest jako suma mas odważonych porcji ._
Tokens: 1 2 3___ 4 5 6_____ 7_____________ 8_____ 9_____ 10____ 11 12________ 13 14 15___ 16_____ 17____ 18______ 19________ 20__ 21__ 22__ 23_ 24________ 25____ 26

Chunks:

(ChunkerEvaluator) Sentence #604 from 00102223 from sent18

Text  : § 3 . 1 .
Tokens: 1 2 3 4 5

Chunks:

(ChunkerEvaluator) Sentence #605 from 00102223 from sent19

Text  : W skład wagi wchodzą w szczególności :
Tokens: 1 2____ 3___ 4______ 5 6____________ 7

Chunks:

(ChunkerEvaluator) Sentence #606 from 00102223 from sent20

Text  : 1 ) automatyczny podajnik lub zawór , doprowadzający towar masowy do zespołu wagowego ;_
Tokens: 1 2 3___________ 4_______ 5__ 6____ 7 8_____________ 9____ 10____ 11 12_____ 13______ 14

Chunks:

(ChunkerEvaluator) Sentence #607 from 00102223 from sent21

Text  : 2 ) zespół wagowy z nośnią ładunku , służący do odważania nastawionych porcji towaru ;_
Tokens: 1 2 3_____ 4_____ 5 6_____ 7______ 8 9______ 10 11_______ 12__________ 13____ 14____ 15

Chunks:

(ChunkerEvaluator) Sentence #608 from 00102223 from sent22

Text  : 3 ) urządzenie wskazujące sumowanie ;
Tokens: 1 2 3_________ 4_________ 5________ 6

Chunks:

(ChunkerEvaluator) Sentence #609 from 00102223 from sent23

Text  : 4 ) zespół sterujący pracą wagi w cyklu automatycznego odważania ._
Tokens: 1 2 3_____ 4________ 5____ 6___ 7 8____ 9_____________ 10_______ 11

Chunks:

(ChunkerEvaluator) Sentence #610 from 00102223 from sent24

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #611 from 00102223 from sent25

Text  : Nośnia ładunku może być skonstruowana jako zbiornik ładunkowy .
Tokens: 1_____ 2______ 3___ 4__ 5____________ 6___ 7_______ 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #612 from 00102223 from sent26

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #613 from 00102223 from sent27

Text  : Waga może być wyposażona w szczególności w :
Tokens: 1___ 2___ 3__ 4_________ 5 6____________ 7 8

Chunks:

2017-06-14 20:16:58,527 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 45 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102228.xml
(ChunkerEvaluator) Sentence #614 from 00102228 from sent1

Text  : Dziennik Ustaw z 30 kwietnia 1999 Nr 39 poz ._ 379
Tokens: 1_______ 2____ 3 4_ 5_______ 6___ 7_ 8_ 9__ 10 11_

Chunks:
  TruePositive nam [1,2] = Dziennik Ustaw (confidence=0.99)

(ChunkerEvaluator) Sentence #615 from 00102228 from sent2

Text  : między Rządem Rzeczypospolitej Polskiej a Rządem Republiki Federalnej Niemiec o_ współpracy kulturalnej ,_ sporządzona w_ Bonn dnia 14 lipca 1997 r_ ._
Tokens: 1_____ 2_____ 3_______________ 4_______ 5 6_____ 7________ 8_________ 9______ 10 11________ 12_________ 13 14_________ 15 16__ 17__ 18 19___ 20__ 21 22

Chunks:
  TruePositive nam [16,16] = Bonn (confidence=1.00)
  FalsePositive nam [2,12] = Rządem Rzeczypospolitej Polskiej a Rządem Republiki Federalnej Niemiec o współpracy kulturalnej (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,4] = Rzeczypospolitej Polskiej
  FalseNegative nam [7,9] = Republiki Federalnej Niemiec

(ChunkerEvaluator) Sentence #616 from 00102228 from sent3

Text  : W imieniu Rzeczypospolitej Polskiej
Tokens: 1 2______ 3_______________ 4_______

Chunks:
  TruePositive nam [3,4] = Rzeczypospolitej Polskiej (confidence=0.98)

(ChunkerEvaluator) Sentence #617 from 00102228 from sent4

Text  : PREZYDENT RZECZYPOSPOLITEJ POLSKIEJ
Tokens: 1________ 2_______________ 3_______

Chunks:
  TruePositive nam [1,3] = PREZYDENT RZECZYPOSPOLITEJ POLSKIEJ (confidence=0.94)

(ChunkerEvaluator) Sentence #618 from 00102228 from sent5

Text  : podaje do powszechnej wiadomości :
Tokens: 1_____ 2_ 3__________ 4_________ 5

Chunks:

(ChunkerEvaluator) Sentence #619 from 00102228 from sent6

Text  : W dniu 14 lipca 1997 r . została sporządzona w_ Bonn Umowa między Rządem Rzeczypospolitej Polskiej a_ Rządem Republiki Federalnej Niemiec o_ współpracy kulturalnej w_ następnym brzmieniu :_
Tokens: 1 2___ 3_ 4____ 5___ 6 7 8______ 9__________ 10 11__ 12___ 13____ 14____ 15______________ 16______ 17 18____ 19_______ 20________ 21_____ 22 23________ 24_________ 25 26_______ 27_______ 28

Chunks:
  FalsePositive nam [11,21] = Bonn Umowa między Rządem Rzeczypospolitej Polskiej a Rządem Republiki Federalnej Niemiec (confidence=1.00) (incorrect boundry)
  FalseNegative nam [11,11] = Bonn
  FalseNegative nam [12,24] = Umowa między Rządem Rzeczypospolitej Polskiej a Rządem Republiki Federalnej Niemiec o współpracy kulturalnej

(ChunkerEvaluator) Sentence #620 from 00102228 from sent7

Text  : między Rządem Rzeczypospolitej Polskiej a Rządem Republiki Federalnej Niemiec o_ współpracy kulturalnej
Tokens: 1_____ 2_____ 3_______________ 4_______ 5 6_____ 7________ 8_________ 9______ 10 11________ 12_________

Chunks:
  FalsePositive nam [2,12] = Rządem Rzeczypospolitej Polskiej a Rządem Republiki Federalnej Niemiec o współpracy kulturalnej (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,4] = Rzeczypospolitej Polskiej
  FalseNegative nam [7,9] = Republiki Federalnej Niemiec

(ChunkerEvaluator) Sentence #621 from 00102228 from sent8

Text  : Rząd Rzeczypospolitej Polskiej
Tokens: 1___ 2_______________ 3_______

Chunks:
  FalsePositive nam [1,3] = Rząd Rzeczypospolitej Polskiej (confidence=0.98) (incorrect boundry)
  FalseNegative nam [2,3] = Rzeczypospolitej Polskiej

(ChunkerEvaluator) Sentence #622 from 00102228 from sent9

Text  : i
Tokens: 1

Chunks:

(ChunkerEvaluator) Sentence #623 from 00102228 from sent10

Text  : Rząd Republiki Federalnej Niemiec
Tokens: 1___ 2________ 3_________ 4______

Chunks:
  FalsePositive nam [1,4] = Rząd Republiki Federalnej Niemiec (confidence=0.77) (incorrect boundry)
  FalseNegative nam [2,4] = Republiki Federalnej Niemiec

(ChunkerEvaluator) Sentence #624 from 00102228 from sent11

Text  : pragnąc rozwijać i pogłębiać stosunki łączące oba kraje w duchu dobrego sąsiedztwa i_ przyjaznej współpracy ,_
Tokens: 1______ 2_______ 3 4________ 5_______ 6______ 7__ 8____ 9 10___ 11_____ 12________ 13 14________ 15________ 16

Chunks:

(ChunkerEvaluator) Sentence #625 from 00102228 from sent12

Text  : w przekonaniu , że wymiana kulturalna sprzyja współpracy między narodami ,_ zrozumieniu ich kultury i_ życia duchowego ,_
Tokens: 1 2__________ 3 4_ 5______ 6_________ 7______ 8_________ 9_____ 10______ 11 12_________ 13_ 14_____ 15 16___ 17_______ 18

Chunks:

(ChunkerEvaluator) Sentence #626 from 00102228 from sent13

Text  : uwzględniając historyczne zmiany w Europie , w szczególności ustanowienie jedności Niemiec oraz głębokie przemiany polityczne ,_ społeczne i_ gospodarcze w_ Polsce ,_ które przyczyniły się do nadania stosunkom polsko -_ niemieckim nowego charakteru ,_
Tokens: 1____________ 2__________ 3_____ 4 5______ 6 7 8____________ 9___________ 10______ 11_____ 12__ 13______ 14_______ 15________ 16 17_______ 18 19_________ 20 21____ 22 23___ 24_________ 25_ 26 27_____ 28_______ 29____ 30 31________ 32____ 33________ 34

Chunks:
  TruePositive nam [5,5] = Europie (confidence=1.00)
  TruePositive nam [11,11] = Niemiec (confidence=1.00)
  TruePositive nam [21,21] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #627 from 00102228 from sent14

Text  : głęboko przekonane o wielkim znaczeniu wymiany i współpracy kulturalnej i_ naukowej dla zrozumienia i_ pojednania między Narodami Polskim i_ Niemieckim ,_
Tokens: 1______ 2_________ 3 4______ 5________ 6______ 7 8_________ 9__________ 10 11______ 12_ 13_________ 14 15________ 16____ 17______ 18_____ 19 20________ 21

Chunks:
  FalsePositive nam [20,20] = Niemieckim (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #628 from 00102228 from sent15

Text  : świadome wielkiego i niepowtarzalnego wkładu Narodów Polskiego i Niemieckiego do wspólnego europejskiego dziedzictwa kulturowego oraz wzajemnego przenikania i_ wzbogacania się obu kultur w_ wielowiekowej przeszłości ,_
Tokens: 1_______ 2________ 3 4_______________ 5_____ 6______ 7________ 8 9___________ 10 11_______ 12___________ 13_________ 14_________ 15__ 16________ 17_________ 18 19_________ 20_ 21_ 22____ 23 24___________ 25_________ 26

Chunks:
  FalsePositive nam [6,7] = Narodów Polskiego (confidence=0.48) (incorrect boundry)
  FalsePositive nam [9,9] = Niemieckiego (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #629 from 00102228 from sent16

Text  : dążąc do rozbudowania stosunków kulturalnych we wszystkich dziedzinach , z_ oświatą i_ nauką włącznie ,_
Tokens: 1____ 2_ 3___________ 4________ 5___________ 6_ 7_________ 8__________ 9 10 11_____ 12 13___ 14______ 15

Chunks:

(ChunkerEvaluator) Sentence #630 from 00102228 from sent17

Text  : doceniając ważną rolę , jaką młodzież odgrywa we współpracy obu narodów ,_
Tokens: 1_________ 2____ 3___ 4 5___ 6_______ 7______ 8_ 9_________ 10_ 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #631 from 00102228 from sent18

Text  : kierując się postanowieniami Traktatu między Rzecząpospolitą Polską a Republiką Federalną Niemiec o_ dobrym sąsiedztwie i_ przyjaznej współpracy z_ dnia 17 czerwca 1991 r_ ._ ,_
Tokens: 1_______ 2__ 3______________ 4_______ 5_____ 6______________ 7_____ 8 9________ 10_______ 11_____ 12 13____ 14_________ 15 16________ 17________ 18 19__ 20 21_____ 22__ 23 24 25

Chunks:
  FalsePositive nam [4,7] = Traktatu między Rzecząpospolitą Polską (confidence=0.96) (incorrect boundry)
  FalsePositive nam [9,14] = Republiką Federalną Niemiec o dobrym sąsiedztwie (confidence=0.62) (incorrect boundry)
  FalseNegative nam [4,17] = Traktatu między Rzecząpospolitą Polską a Republiką Federalną Niemiec o dobrym sąsiedztwie i przyjaznej współpracy

2017-06-14 20:16:58,596 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 46 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102256.xml
(ChunkerEvaluator) Sentence #632 from 00102256 from sent1

Text  : Edwin Bendyk opisuje Copyright Summit w Brukseli , na którym przedstawiciele przemysłu wyrazili obawy w_ związku z_ istnieniem Creative Commons ._
Tokens: 1____ 2_____ 3______ 4________ 5_____ 6 7_______ 8 9_ 10____ 11_____________ 12_______ 13______ 14___ 15 16_____ 17 18________ 19______ 20_____ 21

Chunks:
  TruePositive nam [1,2] = Edwin Bendyk (confidence=1.00)
  TruePositive nam [4,5] = Copyright Summit (confidence=0.92)
  TruePositive nam [7,7] = Brukseli (confidence=0.99)
  TruePositive nam [19,20] = Creative Commons (confidence=1.00)

(ChunkerEvaluator) Sentence #633 from 00102256 from sent2

Text  : Najciekawsze jest uzasadnienie .
Tokens: 1___________ 2___ 3___________ 4

Chunks:

(ChunkerEvaluator) Sentence #634 from 00102256 from sent3

Text  : Bendyk cytuje Erika Baptista z CISAC , a moją uwagę zwróciło następujące zdanie :_ Gdy autor zdecyduje się raz ogłosić utwór w_ ramach licencji Creative Commons ,_ nie może już później zmienić jego statusu ,_ nawet choćby chciał ,_ gdy np ._ stanie się sławny i_ chciał by lepiej pilnować integralności swojej twórczości ._
Tokens: 1_____ 2_____ 3____ 4_______ 5 6____ 7 8 9___ 10___ 11______ 12_________ 13____ 14 15_ 16___ 17_______ 18_ 19_ 20_____ 21___ 22 23____ 24______ 25______ 26_____ 27 28_ 29__ 30_ 31_____ 32_____ 33__ 34_____ 35 36___ 37____ 38____ 39 40_ 41 42 43____ 44_ 45____ 46 47____ 48 49____ 50______ 51___________ 52____ 53________ 54

Chunks:
  TruePositive nam [1,1] = Bendyk (confidence=0.94)
  TruePositive nam [3,4] = Erika Baptista (confidence=1.00)
  TruePositive nam [6,6] = CISAC (confidence=0.85)
  TruePositive nam [25,26] = Creative Commons (confidence=1.00)

(ChunkerEvaluator) Sentence #635 from 00102256 from sent4

Text  : Pomijając wątpliwe meritum tej opinii , CISAC stosuje formę typową dla przedstawicieli producentów i_ organizacji zarządzania prawami ._
Tokens: 1________ 2_______ 3______ 4__ 5_____ 6 7____ 8______ 9____ 10____ 11_ 12_____________ 13_________ 14 15_________ 16_________ 17_____ 18

Chunks:
  TruePositive nam [7,7] = CISAC (confidence=1.00)

(ChunkerEvaluator) Sentence #636 from 00102256 from sent5

Text  : Dlaczego nie może powiedzieć na przykład tak : Creative Commons stanowi konkurencję dla tradycyjnego modelu prawa autorskiego ._
Tokens: 1_______ 2__ 3___ 4_________ 5_ 6_______ 7__ 8 9_______ 10_____ 11_____ 12_________ 13_ 14__________ 15____ 16___ 17_________ 18

Chunks:
  TruePositive nam [9,10] = Creative Commons (confidence=1.00)

(ChunkerEvaluator) Sentence #637 from 00102256 from sent6

Text  : Autorzy biorą sprawy w swoje ręce rezygnując z pośrednictwa producentów i_ organizacji zarządzania prawami ._
Tokens: 1______ 2____ 3_____ 4 5____ 6___ 7_________ 8 9___________ 10_________ 11 12_________ 13_________ 14_____ 15

Chunks:

(ChunkerEvaluator) Sentence #638 from 00102256 from sent7

Text  : Wpływa to na spadek naszych dochodów i zmusza nas do szukania nowych modeli biznesowych i_ lobbowania za zmianami w_ prawie ._
Tokens: 1_____ 2_ 3_ 4_____ 5______ 6_______ 7 8_____ 9__ 10 11______ 12____ 13____ 14_________ 15 16________ 17 18______ 19 20____ 21

Chunks:

(ChunkerEvaluator) Sentence #639 from 00102256 from sent8

Text  : Niestety , CC pokazuje , że nie tylko w przypadku oprogramowania twórcy mogą czerpać dochody z_ działań innych niż sprzedaż licencji -_ koncertów ,_ dobrowolnych wpłat ._
Tokens: 1_______ 2 3_ 4_______ 5 6_ 7__ 8____ 9 10_______ 11____________ 12____ 13__ 14_____ 15_____ 16 17_____ 18____ 19_ 20______ 21______ 22 23_______ 24 25__________ 26___ 27

Chunks:
  TruePositive nam [3,3] = CC (confidence=0.98)

(ChunkerEvaluator) Sentence #640 from 00102256 from sent9

Text  : To dla nas naprawdę realne zagrożenie , gdy taki Cory Doctorow chwali się ,_ że mimo udostępniania legalnie książki w_ internecie drukuje się jej już szóste wydanie ._
Tokens: 1_ 2__ 3__ 4_______ 5_____ 6_________ 7 8__ 9___ 10__ 11______ 12____ 13_ 14 15 16__ 17___________ 18______ 19_____ 20 21________ 22_____ 23_ 24_ 25_ 26____ 27_____ 28

Chunks:
  TruePositive nam [10,11] = Cory Doctorow (confidence=1.00)
  FalsePositive nam [21,21] = internecie (confidence=0.98) (incorrect boundry)

(ChunkerEvaluator) Sentence #641 from 00102256 from sent10

Text  : Ale oczywiście lepiej powiedzieć , że biedny autor nie wie co czyni ,_ zmuszony przez lessigistów podpisuje cyrograf i_ już do końca życia będzie musiał tworzyć dla piratów ._
Tokens: 1__ 2_________ 3_____ 4_________ 5 6_ 7_____ 8____ 9__ 10_ 11 12___ 13 14______ 15___ 16_________ 17_______ 18______ 19 20_ 21 22___ 23___ 24____ 25____ 26_____ 27_ 28_____ 29

Chunks:

2017-06-14 20:16:58,669 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 47 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102358.xml
(ChunkerEvaluator) Sentence #642 from 00102358 from sent1

Text  : To jest względna wiedza .
Tokens: 1_ 2___ 3_______ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #643 from 00102358 from sent2

Text  : Gazety , mam wrażenie , że głównie przebijają się sensacjami ._
Tokens: 1_____ 2 3__ 4_______ 5 6_ 7______ 8_________ 9__ 10________ 11

Chunks:

(ChunkerEvaluator) Sentence #644 from 00102358 from sent3

Text  : Do uzyskania informacji o świecie , w którym żyję ,_ nie jest mi potrzebna prasa ._
Tokens: 1_ 2________ 3_________ 4 5______ 6 7 8_____ 9___ 10 11_ 12__ 13 14_______ 15___ 16

Chunks:

(ChunkerEvaluator) Sentence #645 from 00102358 from sent4

Text  : A telewizja ?
Tokens: 1 2________ 3

Chunks:

(ChunkerEvaluator) Sentence #646 from 00102358 from sent5

Text  : Bardzo rzadko .
Tokens: 1_____ 2_____ 3

Chunks:

(ChunkerEvaluator) Sentence #647 from 00102358 from sent6

Text  : Oglądam te rzeczy , które chcę zobaczyć .
Tokens: 1______ 2_ 3_____ 4 5____ 6___ 7_______ 8

Chunks:

(ChunkerEvaluator) Sentence #648 from 00102358 from sent7

Text  : Słucham dużo radia .
Tokens: 1______ 2___ 3____ 4

Chunks:

(ChunkerEvaluator) Sentence #649 from 00102358 from sent8

Text  : Pana stosunek do roli jest taki , że im dalej od Pana tym ciekawsza ?_
Tokens: 1___ 2_______ 3_ 4___ 5___ 6___ 7 8_ 9_ 10___ 11 12__ 13_ 14_______ 15

Chunks:

(ChunkerEvaluator) Sentence #650 from 00102358 from sent9

Text  : Trudno to tak określić .
Tokens: 1_____ 2_ 3__ 4_______ 5

Chunks:

(ChunkerEvaluator) Sentence #651 from 00102358 from sent10

Text  : Mnie interesuje człowiek , zbadanie motywów jego postępowania .
Tokens: 1___ 2_________ 3_______ 4 5_______ 6______ 7___ 8___________ 9

Chunks:

(ChunkerEvaluator) Sentence #652 from 00102358 from sent11

Text  : Ponieważ człowiek w swojej istocie jest nieograniczony , to każdy ma inne motywy ._
Tokens: 1_______ 2_______ 3 4_____ 5______ 6___ 7_____________ 8 9_ 10___ 11 12__ 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #653 from 00102358 from sent12

Text  : W związku z tym nigdy nie oceniam mojego bohatera ,_ nie wartościuję jego postaw ._
Tokens: 1 2______ 3 4__ 5____ 6__ 7______ 8_____ 9_______ 10 11_ 12_________ 13__ 14____ 15

Chunks:

(ChunkerEvaluator) Sentence #654 from 00102358 from sent13

Text  : To jest dane przez autora .
Tokens: 1_ 2___ 3___ 4____ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #655 from 00102358 from sent14

Text  : Od oceniania jest widz , który jest ostateczną instancją ._
Tokens: 1_ 2________ 3___ 4___ 5 6____ 7___ 8_________ 9________ 10

Chunks:

(ChunkerEvaluator) Sentence #656 from 00102358 from sent15

Text  : Tak naprawdę to jest proces nieskończony , bo wydawało by się ,_ że można powiedzieć wszystko o_ człowieku ,_ a_ z_ drugiej strony dopóki świat trwa człowiek jest nieprzewidywalny w_ swoich zachowaniach ,_ reakcjach ._
Tokens: 1__ 2_______ 3_ 4___ 5_____ 6___________ 7 8_ 9_______ 10 11_ 12 13 14___ 15________ 16______ 17 18_______ 19 20 21 22_____ 23____ 24____ 25___ 26__ 27______ 28__ 29______________ 30 31____ 32__________ 33 34_______ 35

Chunks:

(ChunkerEvaluator) Sentence #657 from 00102358 from sent16

Text  : W moim zawodzie najciekawsze jest badanie natury człowieka .
Tokens: 1 2___ 3_______ 4___________ 5___ 6______ 7_____ 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #658 from 00102358 from sent17

Text  : Powiedział Pan , że ocenia widz , jest ostateczną wyrocznią ._
Tokens: 1_________ 2__ 3 4_ 5_____ 6___ 7 8___ 9_________ 10_______ 11

Chunks:

(ChunkerEvaluator) Sentence #659 from 00102358 from sent18

Text  : Niestety , zdarza się tak , że ludzie wychodząc z_ teatru i_ twierdzą ,_ że jest Pan gejem prywatnie ._
Tokens: 1_______ 2 3_____ 4__ 5__ 6 7_ 8_____ 9________ 10 11____ 12 13______ 14 15 16__ 17_ 18___ 19_______ 20

Chunks:

(ChunkerEvaluator) Sentence #660 from 00102358 from sent19

Text  : To chyba źle .
Tokens: 1_ 2____ 3__ 4

Chunks:

(ChunkerEvaluator) Sentence #661 from 00102358 from sent20

Text  : Dlaczego źle ?
Tokens: 1_______ 2__ 3

Chunks:

(ChunkerEvaluator) Sentence #662 from 00102358 from sent21

Text  : Jeżeli ktoś pisze na plakacie do „ Transatlantyku ” ,_ że jestem pedałem ,_ to oznacza ,_ że zagrał em tak wiarygodnie ,_ że ktoś mnie utożsamił ._
Tokens: 1_____ 2___ 3____ 4_ 5_______ 6_ 7 8_____________ 9 10 11 12____ 13_____ 14 15 16_____ 17 18 19____ 20 21_ 22_________ 23 24 25__ 26__ 27_______ 28

Chunks:
  TruePositive nam [8,8] = Transatlantyku (confidence=0.96)

(ChunkerEvaluator) Sentence #663 from 00102358 from sent22

Text  : Ale to jest jego problem , nie mój .
Tokens: 1__ 2_ 3___ 4___ 5______ 6 7__ 8__ 9

Chunks:

(ChunkerEvaluator) Sentence #664 from 00102358 from sent23

Text  : Ma to swoje plusy i minusy .
Tokens: 1_ 2_ 3____ 4____ 5 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #665 from 00102358 from sent24

Text  : To jest problem odbiorcy .
Tokens: 1_ 2___ 3______ 4_______ 5

Chunks:

(ChunkerEvaluator) Sentence #666 from 00102358 from sent25

Text  : Kiedy grał em tego rzeczonego geja Gonzala w „ Transatlantyku ”_ Gombrowicza ,_ z_ perspektywy czasu mówiąc o_ tym ,_ to aspekt homoseksualny tej roli tak naprawdę najmniej mnie interesował ._
Tokens: 1____ 2___ 3_ 4___ 5_________ 6___ 7______ 8 9 10____________ 11 12_________ 13 14 15_________ 16___ 17____ 18 19_ 20 21 22____ 23___________ 24_ 25__ 26_ 27______ 28______ 29__ 30_________ 31

Chunks:
  TruePositive nam [7,7] = Gonzala (confidence=0.99)
  TruePositive nam [10,10] = Transatlantyku (confidence=1.00)
  TruePositive nam [12,12] = Gombrowicza (confidence=1.00)

(ChunkerEvaluator) Sentence #667 from 00102358 from sent26

Text  : To , co próbowali śmy zrozumieć w jego postawie ,_ to wolność bliska anarchii ._
Tokens: 1_ 2 3_ 4________ 5__ 6________ 7 8___ 9_______ 10 11 12_____ 13____ 14______ 15

Chunks:

(ChunkerEvaluator) Sentence #668 from 00102358 from sent27

Text  : To było najbardziej interesujące .
Tokens: 1_ 2___ 3__________ 4___________ 5

Chunks:

(ChunkerEvaluator) Sentence #669 from 00102358 from sent28

Text  : Jego najdalej idące prowokacje przekładały się na moje prowokacje aktorskie ._
Tokens: 1___ 2_______ 3____ 4_________ 5__________ 6__ 7_ 8___ 9_________ 10_______ 11

Chunks:

(ChunkerEvaluator) Sentence #670 from 00102358 from sent29

Text  : Co wieczór , jako człowiek , któremu wszystko wolno ,_ miałem za zadanie zaskakiwać ._
Tokens: 1_ 2______ 3 4___ 5_______ 6 7______ 8_______ 9____ 10 11____ 12 13_____ 14________ 15

Chunks:

(ChunkerEvaluator) Sentence #671 from 00102358 from sent30

Text  : Nawet moich partnerów .
Tokens: 1____ 2____ 3________ 4

Chunks:

(ChunkerEvaluator) Sentence #672 from 00102358 from sent31

Text  : Oczywiście , to nie jest tak , że nie mam poglądu ,_ że dane czyny są naganne albo prawidłowe ._
Tokens: 1_________ 2 3_ 4__ 5___ 6__ 7 8_ 9__ 10_ 11_____ 12 13 14__ 15___ 16 17_____ 18__ 19________ 20

Chunks:

(ChunkerEvaluator) Sentence #673 from 00102358 from sent32

Text  : Nie mnie jest to oceniać .
Tokens: 1__ 2___ 3___ 4_ 5______ 6

Chunks:

(ChunkerEvaluator) Sentence #674 from 00102358 from sent33

Text  : Ja muszę rzetelnie przedstawić daną osobę .
Tokens: 1_ 2____ 3________ 4__________ 5___ 6____ 7

Chunks:

(ChunkerEvaluator) Sentence #675 from 00102358 from sent34

Text  : Oto mamy do czynienia z takim typem ludzkim , który tak a_ nie inaczej postępuje ,_ który tak a_ nie inaczej rozwala wokół siebie rzeczywistość ._
Tokens: 1__ 2___ 3_ 4________ 5 6____ 7____ 8______ 9 10___ 11_ 12 13_ 14_____ 15_______ 16 17___ 18_ 19 20_ 21_____ 22_____ 23___ 24____ 25___________ 26

Chunks:

2017-06-14 20:16:58,769 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 48 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102375.xml
(ChunkerEvaluator) Sentence #676 from 00102375 from sent1

Text  : Mnie jednak bardziej interesują kolekcjonerzy .
Tokens: 1___ 2_____ 3_______ 4_________ 5____________ 6

Chunks:

(ChunkerEvaluator) Sentence #677 from 00102375 from sent2

Text  : Ludzie , którzy zapewne magazynują ilości treści wielokrotnie przekraczające indywidualne możliwości ich przetrawienia ,_ ale robiący to jednak z_ wiarą -_ naiwną -_ że ściąganie służy jednak oglądaniu ._
Tokens: 1_____ 2 3_____ 4______ 5_________ 6_____ 7_____ 8___________ 9_____________ 10__________ 11________ 12_ 13___________ 14 15_ 16_____ 17 18____ 19 20___ 21 22____ 23 24 25_______ 26___ 27____ 28_______ 29

Chunks:

(ChunkerEvaluator) Sentence #678 from 00102375 from sent3

Text  : Myślał em o nich mając w tyle głowy powiedzonko Gibsona o_ przeszłości nierówno rozproszonej w_ teraźniejszości ._
Tokens: 1_____ 2_ 3 4___ 5____ 6 7___ 8____ 9__________ 10_____ 11 12_________ 13______ 14__________ 15 16_____________ 17

Chunks:
  TruePositive nam [10,10] = Gibsona (confidence=1.00)

(ChunkerEvaluator) Sentence #679 from 00102375 from sent4

Text  : New Scientist opublikował właśnie Science Fiction Special poświęcony przyszłości science fiction jako gatunku (_ literackiego )_ ._
Tokens: 1__ 2________ 3__________ 4______ 5______ 6______ 7______ 8_________ 9__________ 10_____ 11_____ 12__ 13_____ 14 15__________ 16 17

Chunks:
  FalsePositive nam [5,7] = Science Fiction Special (confidence=1.00) (incorrect boundry)
  FalseNegative nam [1,2] = New Scientist

(ChunkerEvaluator) Sentence #680 from 00102375 from sent5

Text  : O zdanie spytano szóstkę autorów , w tym właśnie Williama Gibsona ,_ który cytuje J_ ._ G_ ._ Ballarda (_ ”_ Ziemia to obca planeta ”_ )_ i_ dodaje ,_ że
Tokens: 1 2_____ 3______ 4______ 5______ 6 7 8__ 9______ 10______ 11_____ 12 13___ 14____ 15 16 17 18 19______ 20 21 22____ 23 24__ 25_____ 26 27 28 29____ 30 31

Chunks:
  TruePositive nam [10,11] = Williama Gibsona (confidence=1.00)
  TruePositive nam [15,19] = J . G . Ballarda (confidence=1.00)
  FalseNegative nam [22,25] = Ziemia to obca planeta

(ChunkerEvaluator) Sentence #681 from 00102375 from sent6

Text  : " Najprzydatniejsza rzecz , jakiej nauczyła mnie science fiction ,_ to że każda obecna chwila ,_ zawsze ,_ jest czyjąś przeszłością i_ czyjąś przyszłością ._ "_
Tokens: 1 2________________ 3____ 4 5_____ 6_______ 7___ 8______ 9______ 10 11 12 13___ 14____ 15____ 16 17____ 18 19__ 20____ 21__________ 22 23____ 24__________ 25 26

Chunks:

(ChunkerEvaluator) Sentence #682 from 00102375 from sent7

Text  : Idąc tropem intuicji Gibsona trzeba założyć , że któregoś dnia (_ niedługo ?_ )_ wszyscy będziemy mieć takie kolekcje ,_ jakie dzisiaj mają mega -_ piraci ._
Tokens: 1___ 2_____ 3_______ 4______ 5_____ 6______ 7 8_ 9_______ 10__ 11 12______ 13 14 15_____ 16______ 17__ 18___ 19______ 20 21___ 22_____ 23__ 24__ 25 26____ 27

Chunks:
  TruePositive nam [4,4] = Gibsona (confidence=0.99)

(ChunkerEvaluator) Sentence #683 from 00102375 from sent8

Text  : I to w urządzeniach rozmiaru pendrive ’ a , a_ może nawet orzeszka ._
Tokens: 1 2_ 3 4___________ 5_______ 6_______ 7 8 9 10 11__ 12___ 13______ 14

Chunks:
  FalsePositive nam [6,8] = pendrive ’ a (confidence=0.50) (incorrect boundry)

(ChunkerEvaluator) Sentence #684 from 00102375 from sent9

Text  : To trochę jak z przestrzenią do magazynowania danych - kilkanaście lat temu cieszyły nas dyskietki i_ komputery z_ megabajtem ramu ,_ dzisiaj cieszą nas karty pamięci 8gb ._
Tokens: 1_ 2_____ 3__ 4 5___________ 6_ 7____________ 8_____ 9 10_________ 11_ 12__ 13______ 14_ 15_______ 16 17_______ 18 19________ 20__ 21 22_____ 23____ 24_ 25___ 26_____ 27_ 28

Chunks:

(ChunkerEvaluator) Sentence #685 from 00102375 from sent10

Text  : A w ICM , gdzie pracuję , właśnie uruchomiono 221 ._ z_ kolei najszybszy komputer na świecie o_ nazwie Nautilus ,_ który potrafi osiągnąć niezrozumiałą dla mnie prędkość obliczeń 24 teraflopów -_ i_ który ma rozmiar szafy ,_ niczym pierwsze komputery ._
Tokens: 1 2 3__ 4 5____ 6______ 7 8______ 9__________ 10_ 11 12 13___ 14________ 15______ 16 17_____ 18 19____ 20______ 21 22___ 23_____ 24______ 25___________ 26_ 27__ 28______ 29______ 30 31________ 32 33 34___ 35 36_____ 37___ 38 39____ 40______ 41_______ 42

Chunks:
  TruePositive nam [3,3] = ICM (confidence=0.86)
  FalsePositive nam [20,20] = Nautilus (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #686 from 00102375 from sent11

Text  : Ciekawe , jak sobie z tymi kolekcjami będziemy radzić ._
Tokens: 1______ 2 3__ 4____ 5 6___ 7_________ 8_______ 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #687 from 00102375 from sent12

Text  : Wydawało by się , że trzeba już się szykować ,_ testować normy społeczne ,_ wzorce zachowań ,_ kolektywne mechanizmy filtrowania ,_ itp ._
Tokens: 1_______ 2_ 3__ 4 5_ 6_____ 7__ 8__ 9_______ 10 11______ 12___ 13_______ 14 15____ 16______ 17 18________ 19________ 20_________ 21 22_ 23

Chunks:

(ChunkerEvaluator) Sentence #688 from 00102375 from sent13

Text  : Zorganizowanych działań jakoś nie widać - ale zmiana być może dokonuje się organicznie i_ ma charakter międzypokoleniowy ._
Tokens: 1______________ 2______ 3____ 4__ 5____ 6 7__ 8_____ 9__ 10__ 11______ 12_ 13_________ 14 15 16_______ 17_______________ 18

Chunks:

(ChunkerEvaluator) Sentence #689 from 00102375 from sent14

Text  : Tak sugeruje Dan Tapscott , o którego nowej książce pisze The Economist ._
Tokens: 1__ 2_______ 3__ 4_______ 5 6 7______ 8____ 9______ 10___ 11_ 12_______ 13

Chunks:
  TruePositive nam [3,4] = Dan Tapscott (confidence=1.00)
  TruePositive nam [11,12] = The Economist (confidence=0.98)

(ChunkerEvaluator) Sentence #690 from 00102375 from sent15

Text  : Tapscott przebadał 8000 osób w 12 krajach i twierdzi ,_ że dorasta właśnie Generacja Sieci ._
Tokens: 1_______ 2________ 3___ 4___ 5 6_ 7______ 8 9_______ 10 11 12_____ 13_____ 14_______ 15___ 16

Chunks:
  FalsePositive nam [14,15] = Generacja Sieci (confidence=0.99) (incorrect boundry)
  FalseNegative nam [1,1] = Tapscott

(ChunkerEvaluator) Sentence #691 from 00102375 from sent16

Text  : Podobno przeciętny 20 - latek ma dzisiaj za sobą 20 000 godzin w_ internecie i_ 10 000 godzin grania w_ gry ._
Tokens: 1______ 2_________ 3_ 4 5____ 6_ 7______ 8_ 9___ 10 11_ 12____ 13 14________ 15 16 17_ 18____ 19____ 20 21_ 22

Chunks:
  TruePositive nam [14,14] = internecie (confidence=0.93)

(ChunkerEvaluator) Sentence #692 from 00102375 from sent17

Text  : Co , jak sugeruje Tapscott , może być formatywnym doświadczeniem tego pokolenia -_ które jako pierwsze dorasta z_ takim bagażem doświadczeń cyfrowych ._
Tokens: 1_ 2 3__ 4_______ 5_______ 6 7___ 8__ 9__________ 10____________ 11__ 12_______ 13 14___ 15__ 16______ 17_____ 18 19___ 20_____ 21_________ 22_______ 23

Chunks:
  TruePositive nam [5,5] = Tapscott (confidence=1.00)

(ChunkerEvaluator) Sentence #693 from 00102375 from sent18

Text  : I tu pojawia się ciekawy związek z Malcolmem Gladwellem i_ jego nową książką (_ pisze o_ niej Edwin Bendyk )_ ._
Tokens: 1 2_ 3______ 4__ 5______ 6______ 7 8________ 9_________ 10 11__ 12__ 13_____ 14 15___ 16 17__ 18___ 19____ 20 21

Chunks:
  TruePositive nam [8,9] = Malcolmem Gladwellem (confidence=1.00)
  TruePositive nam [18,19] = Edwin Bendyk (confidence=1.00)

(ChunkerEvaluator) Sentence #694 from 00102375 from sent19

Text  : W sylwetce Gladwella w The New York Magazine są odwołania do cytowanych przez Gladwella badań pokazujących ,_ że prawdziwą ekspertyzę w_ określonej dziedzinie osiąga się po 10 000 godzinach praktyki ._
Tokens: 1 2_______ 3________ 4 5__ 6__ 7___ 8_______ 9_ 10_______ 11 12________ 13___ 14_______ 15___ 16__________ 17 18 19_______ 20________ 21 22________ 23________ 24____ 25_ 26 27 28_ 29_______ 30______ 31

Chunks:
  TruePositive nam [3,3] = Gladwella (confidence=0.96)
  TruePositive nam [5,8] = The New York Magazine (confidence=0.98)
  TruePositive nam [14,14] = Gladwella (confidence=0.82)

2017-06-14 20:16:58,877 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 49 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102397.xml
(ChunkerEvaluator) Sentence #695 from 00102397 from sent1

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #696 from 00102397 from sent2

Text  : Przygotowujemy jeden z kielichów # 87003 , jedno łożysko 8x16 oraz obudowę (_ kubek )_ dyferencjału #_ 87004 ._
Tokens: 1_____________ 2____ 3 4________ 5 6____ 7 8____ 9______ 10__ 11__ 12_____ 13 14___ 15 16__________ 17 18___ 19

Chunks:

(ChunkerEvaluator) Sentence #697 from 00102397 from sent3

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #698 from 00102397 from sent4

Text  : Na obudowę dyferencjału zakładamy łożysko , następnie w łożysko i_ obudowę wsuwamy ośkę kielicha ._
Tokens: 1_ 2______ 3___________ 4________ 5______ 6 7________ 8 9______ 10 11_____ 12_____ 13__ 14______ 15

Chunks:

(ChunkerEvaluator) Sentence #699 from 00102397 from sent5

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #700 from 00102397 from sent6

Text  : Na ośkę kielicha zakładamy uszczelkę typu o - ring ,_ tak aby schowała się w_ wycięciu w_ obudowie dyferencjału ._
Tokens: 1_ 2___ 3_______ 4________ 5________ 6___ 7 8 9___ 10 11_ 12_ 13______ 14_ 15 16______ 17 18______ 19__________ 20

Chunks:

(ChunkerEvaluator) Sentence #701 from 00102397 from sent7

Text  : 4 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #702 from 00102397 from sent8

Text  : Następnie w otwór w ośce kielicha musimy włożyć pręcik mocujący ._
Tokens: 1________ 2 3____ 4 5___ 6_______ 7_____ 8_____ 9_____ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #703 from 00102397 from sent9

Text  : W tym celu wsuwamy pręcik przez otwór w obudowie dyferencjału ._ ._ ._
Tokens: 1 2__ 3___ 4______ 5_____ 6____ 7____ 8 9_______ 10__________ 11 12 13

Chunks:

(ChunkerEvaluator) Sentence #704 from 00102397 from sent10

Text  : 5 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #705 from 00102397 from sent11

Text  : . . . a następnie w otwór w ośce kielicha ._
Tokens: 1 2 3 4 5________ 6 7____ 8 9___ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #706 from 00102397 from sent12

Text  : 6 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #707 from 00102397 from sent13

Text  : Na pręcik zakładamy jedną z dwóch dużych zębatek stożkowych ._
Tokens: 1_ 2_____ 3________ 4____ 5 6____ 7_____ 8______ 9_________ 10

Chunks:

(ChunkerEvaluator) Sentence #708 from 00102397 from sent14

Text  : Następnie upewniamy sie , że kielich obraca się swobodnie ,_ oraz że wraz z_ nim obraca się zębatka stożkowa ._
Tokens: 1________ 2________ 3__ 4 5_ 6______ 7_____ 8__ 9________ 10 11__ 12 13__ 14 15_ 16____ 17_ 18_____ 19______ 20

Chunks:

(ChunkerEvaluator) Sentence #709 from 00102397 from sent15

Text  : 7 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #710 from 00102397 from sent16

Text  : Montujemy dwie pary małych zębatek stożkowych wraz z podkładkami na ośkach ._
Tokens: 1________ 2___ 3___ 4_____ 5______ 6_________ 7___ 8 9__________ 10 11____ 12

Chunks:

(ChunkerEvaluator) Sentence #711 from 00102397 from sent17

Text  : 8 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #712 from 00102397 from sent18

Text  : Wkładamy pierwsza parę do obudowy dyferencjały .
Tokens: 1_______ 2_______ 3___ 4_ 5______ 6___________ 7

Chunks:

(ChunkerEvaluator) Sentence #713 from 00102397 from sent19

Text  : Ośka powinna wejść w wycięcia w obudowie , a małe zębatki powinny zazębić się z_ dużą ._
Tokens: 1___ 2______ 3____ 4 5_______ 6 7_______ 8 9 10__ 11_____ 12_____ 13_____ 14_ 15 16__ 17

Chunks:

(ChunkerEvaluator) Sentence #714 from 00102397 from sent20

Text  : Ustawiamy ośkę zębatek tak , aby była wycięciem do góry ._
Tokens: 1________ 2___ 3______ 4__ 5 6__ 7___ 8________ 9_ 10__ 11

Chunks:

(ChunkerEvaluator) Sentence #715 from 00102397 from sent21

Text  : 9 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #716 from 00102397 from sent22

Text  : Wkładamy drugą parę zębatek w taki sposób , aby ośki przecinały się pod kątem prostym i_ ich wycięcia zazębiły sie ._
Tokens: 1_______ 2____ 3___ 4______ 5 6___ 7_____ 8 9__ 10__ 11________ 12_ 13_ 14___ 15_____ 16 17_ 18______ 19______ 20_ 21

Chunks:

(ChunkerEvaluator) Sentence #717 from 00102397 from sent23

Text  : Ostrożnie obracamy kielichem aby upewnić się , ze nadal obraca się on bez przeszkód i_ ze powoduje obrót zębatek stożkowych ._
Tokens: 1________ 2_______ 3________ 4__ 5______ 6__ 7 8_ 9____ 10____ 11_ 12 13_ 14_______ 15 16 17______ 18___ 19_____ 20________ 21

Chunks:

(ChunkerEvaluator) Sentence #718 from 00102397 from sent24

Text  : 10 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #719 from 00102397 from sent25

Text  : Zakładamy dużą uszczelkę ( o - ring ) na obudowę dyferencjału ._
Tokens: 1________ 2___ 3________ 4 5 6 7___ 8 9_ 10_____ 11__________ 12

Chunks:

(ChunkerEvaluator) Sentence #720 from 00102397 from sent26

Text  : 11 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #721 from 00102397 from sent27

Text  : Zatykamy otwór w obudowie dyferencjału wkręcając w niego robaczek ._
Tokens: 1_______ 2____ 3 4_______ 5___________ 6________ 7 8____ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #722 from 00102397 from sent28

Text  : Aby nie wykręcił się w czasie jazdy , warto wkręcić go na kleju do śrub ._
Tokens: 1__ 2__ 3_______ 4__ 5 6_____ 7____ 8 9____ 10_____ 11 12 13___ 14 15__ 16

Chunks:

(ChunkerEvaluator) Sentence #723 from 00102397 from sent29

Text  : 12 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #724 from 00102397 from sent30

Text  : Montujemy drugi kielich # 87003 i łożysko 8x16 na na pokrywie dyferencjału #_ 87001 ._
Tokens: 1________ 2____ 3______ 4 5____ 6 7______ 8___ 9_ 10 11______ 12__________ 13 14___ 15

Chunks:

(ChunkerEvaluator) Sentence #725 from 00102397 from sent31

Text  : 13 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #726 from 00102397 from sent32

Text  : Zakładamy uszczelkę ( o - ring ) oraz pręcik mocujący ._
Tokens: 1________ 2________ 3 4 5 6___ 7 8___ 9_____ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #727 from 00102397 from sent33

Text  : 14 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #728 from 00102397 from sent34

Text  : Na pręcik zakładamy ostatnią , dużą zębatkę stożkową .
Tokens: 1_ 2_____ 3________ 4_______ 5 6___ 7______ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #729 from 00102397 from sent35

Text  : 15 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #730 from 00102397 from sent36

Text  : Zalewamy dyferencjał olejem silikonowy .
Tokens: 1_______ 2__________ 3_____ 4_________ 5

Chunks:

(ChunkerEvaluator) Sentence #731 from 00102397 from sent37

Text  : Olej wlewamy do ¾ wysokości obudowy .
Tokens: 1___ 2______ 3_ 4 5________ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #732 from 00102397 from sent38

Text  : Gęstość oleju dobieramy według własnych preferencji .
Tokens: 1______ 2____ 3________ 4_____ 5_______ 6__________ 7

Chunks:

(ChunkerEvaluator) Sentence #733 from 00102397 from sent39

Text  : Osoby , które nie maja na tyle doświadczenia żeby samodzielnie dobrać gęstość oleju ,_ powinny skorzystać z_ gęstości zalecanych przez producenta modelu ._
Tokens: 1____ 2 3____ 4__ 5___ 6_ 7___ 8____________ 9___ 10__________ 11____ 12_____ 13___ 14 15_____ 16________ 17 18______ 19________ 20___ 21________ 22____ 23

Chunks:

(ChunkerEvaluator) Sentence #734 from 00102397 from sent40

Text  : W przypadku Hyper 7 będzie to 1000 do tylnego dyferencjału i_ 5000 do przedniego ._
Tokens: 1 2________ 3____ 4 5_____ 6_ 7___ 8_ 9______ 10__________ 11 12__ 13 14________ 15

Chunks:
  TruePositive nam [3,4] = Hyper 7 (confidence=1.00)

(ChunkerEvaluator) Sentence #735 from 00102397 from sent41

Text  : 16 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #736 from 00102397 from sent42

Text  : Przykręcamy pokrywę do obudowy .
Tokens: 1__________ 2______ 3_ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #737 from 00102397 from sent43

Text  : Następnie upewniamy się , że dyferencjał pracuje gładko i bez zacięć ,_ oraz że olej nie wycieka spod uszczelek ._
Tokens: 1________ 2________ 3__ 4 5_ 6__________ 7______ 8_____ 9 10_ 11____ 12 13__ 14 15__ 16_ 17_____ 18__ 19_______ 20

Chunks:

(ChunkerEvaluator) Sentence #738 from 00102397 from sent44

Text  : Jesli wszystko jest OK , budowa dyferencjału jest zakończona ._
Tokens: 1____ 2_______ 3___ 4_ 5 6_____ 7___________ 8___ 9_________ 10

Chunks:
  FalsePositive nam [4,4] = OK (confidence=0.54) (incorrect boundry)

2017-06-14 20:16:58,977 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 50 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102399.xml
(ChunkerEvaluator) Sentence #739 from 00102399 from sent1

Text  : Od dawna to za mną chodziło : zacząć robić nieduże ,_ amatorskie filmiki wideo ,_ poświęcone co ciekawszym problemom matematycznym ._
Tokens: 1_ 2____ 3_ 4_ 5__ 6_______ 7 8_____ 9____ 10_____ 11 12________ 13_____ 14___ 15 16________ 17 18________ 19_______ 20___________ 21

Chunks:

(ChunkerEvaluator) Sentence #740 from 00102399 from sent2

Text  : Wszystkie będą dostępne najpierw na witrynie „ Studia Opinii ”_ i_ w_ następnym tygodniu –_ tutaj ._
Tokens: 1________ 2___ 3_______ 4_______ 5_ 6_______ 7 8_____ 9_____ 10 11 12 13_______ 14______ 15 16___ 17

Chunks:
  TruePositive nam [8,9] = Studia Opinii (confidence=1.00)

(ChunkerEvaluator) Sentence #741 from 00102399 from sent3

Text  : Oto pierwszy ( przepraszam za jakość , a właściwie kiepskość –_ ale to właśnie pierwszy …_ )_
Tokens: 1__ 2_______ 3 4__________ 5_ 6_____ 7 8 9________ 10_______ 11 12_ 13 14_____ 15______ 16 17

Chunks:

2017-06-14 20:16:58,992 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 51 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102406.xml
(ChunkerEvaluator) Sentence #742 from 00102406 from sent1

Text  : Zimowym zwyczajem publikujemy kolejne gorące wieści prosto od Jury konkursu "_ Qmam media "_ ._
Tokens: 1______ 2________ 3__________ 4______ 5_____ 6_____ 7_____ 8_ 9___ 10______ 11 12__ 13___ 14 15

Chunks:
  TruePositive nam [12,13] = Qmam media (confidence=1.00)
  FalsePositive nam [9,9] = Jury (confidence=0.78) (incorrect boundry)

(ChunkerEvaluator) Sentence #743 from 00102406 from sent2

Text  : Oto zwycięzcy miesięcznego wyboru w dwóch kategoriach : qmama warsztatowego (_ Szkolny Magiel ,_ Anty ,_ Szkoła Chaosu )_ i_ cyklicznego (_ Platernówka ,_ Ladies )_ ._
Tokens: 1__ 2________ 3___________ 4_____ 5 6____ 7__________ 8 9____ 10___________ 11 12_____ 13____ 14 15__ 16 17____ 18____ 19 20 21_________ 22 23_________ 24 25____ 26 27

Chunks:
  TruePositive nam [12,13] = Szkolny Magiel (confidence=0.95)
  TruePositive nam [15,15] = Anty (confidence=1.00)
  TruePositive nam [17,18] = Szkoła Chaosu (confidence=0.94)
  TruePositive nam [23,23] = Platernówka (confidence=0.98)
  TruePositive nam [25,25] = Ladies (confidence=0.99)

(ChunkerEvaluator) Sentence #744 from 00102406 from sent3

Text  : Jury przyznało nagrody w kategorii " qmama warsztatowego " 11 /_ 2010 redakcjom qmamów :_
Tokens: 1___ 2________ 3______ 4 5________ 6 7____ 8____________ 9 10 11 12__ 13_______ 14____ 15

Chunks:

(ChunkerEvaluator) Sentence #745 from 00102406 from sent4

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #746 from 00102406 from sent5

Text  : Szkolny Magiel - III LO w Wołominie .
Tokens: 1______ 2_____ 3 4__ 5_ 6 7________ 8

Chunks:
  TruePositive nam [1,2] = Szkolny Magiel (confidence=0.68)
  TruePositive nam [4,5] = III LO (confidence=0.56)
  TruePositive nam [7,7] = Wołominie (confidence=0.99)

(ChunkerEvaluator) Sentence #747 from 00102406 from sent6

Text  : - Zespołu Szkół nr 4 w Wałbrzychu .
Tokens: 1 2______ 3____ 4_ 5 6 7_________ 8

Chunks:
  TruePositive nam [2,5] = Zespołu Szkół nr 4 (confidence=1.00)
  TruePositive nam [7,7] = Wałbrzychu (confidence=0.99)

(ChunkerEvaluator) Sentence #748 from 00102406 from sent7

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #749 from 00102406 from sent8

Text  : Szkoła Chaosu - Gimnazjum w Sobolewie .
Tokens: 1_____ 2_____ 3 4________ 5 6________ 7

Chunks:
  TruePositive nam [1,2] = Szkoła Chaosu (confidence=0.88)
  TruePositive nam [4,4] = Gimnazjum (confidence=0.67)
  TruePositive nam [6,6] = Sobolewie (confidence=1.00)

(ChunkerEvaluator) Sentence #750 from 00102406 from sent9

Text  : Jury przyznało nagrody w kategorii " qmama cyklicznego " 11 /_ 2010 redakcjom qmamów :_ Platernówka -_ Zespołu Szkół nr 2_ im ._ Emilii Plater w_ Piasecznie ._
Tokens: 1___ 2________ 3______ 4 5________ 6 7____ 8__________ 9 10 11 12__ 13_______ 14____ 15 16_________ 17 18_____ 19___ 20 21 22 23 24____ 25____ 26 27________ 28

Chunks:
  TruePositive nam [16,16] = Platernówka (confidence=1.00)
  TruePositive nam [18,25] = Zespołu Szkół nr 2 im . Emilii Plater (confidence=1.00)
  TruePositive nam [27,27] = Piasecznie (confidence=1.00)

(ChunkerEvaluator) Sentence #751 from 00102406 from sent10

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #752 from 00102406 from sent11

Text  : Ladies - I LO w Nowogardzie .
Tokens: 1_____ 2 3 4_ 5 6__________ 7

Chunks:
  TruePositive nam [1,1] = Ladies (confidence=0.90)
  TruePositive nam [3,4] = I LO (confidence=0.50)
  TruePositive nam [6,6] = Nowogardzie (confidence=0.99)

(ChunkerEvaluator) Sentence #753 from 00102406 from sent12

Text  : Laureatom serdecznie gratulujemy !
Tokens: 1________ 2_________ 3__________ 4

Chunks:

(ChunkerEvaluator) Sentence #754 from 00102406 from sent13

Text  : Za tydzień kolejne dobre wiadomości .
Tokens: 1_ 2______ 3______ 4____ 5_________ 6

Chunks:

(ChunkerEvaluator) Sentence #755 from 00102406 from sent14

Text  : Zaglądajcie do portalu mam.media.pl .
Tokens: 1__________ 2_ 3______ 4___________ 5

Chunks:
  TruePositive nam [4,4] = mam.media.pl (confidence=0.95)

2017-06-14 20:16:59,028 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 52 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102425.xml
(ChunkerEvaluator) Sentence #756 from 00102425 from sent1

Text  : W ramach badania wykorzystania licencji Creative Commons w serwisie fotograficznym Flickr prowadzę niewielkie badanie sondażowe wśród użytkowników tego serwisu ._
Tokens: 1 2_____ 3______ 4____________ 5_______ 6_______ 7______ 8 9_______ 10____________ 11____ 12______ 13________ 14_____ 15_______ 16___ 17__________ 18__ 19_____ 20

Chunks:
  TruePositive nam [6,7] = Creative Commons (confidence=1.00)
  TruePositive nam [11,11] = Flickr (confidence=0.96)

(ChunkerEvaluator) Sentence #757 from 00102425 from sent2

Text  : Na razie udało mi się zebrać sporo odpowiedzi dzięki reklamie na Boing Boingu -_ ale są to odpowiedzi użytkowników angielskojęzycznych ._
Tokens: 1_ 2____ 3____ 4_ 5__ 6_____ 7____ 8_________ 9_____ 10______ 11 12___ 13____ 14 15_ 16 17 18________ 19__________ 20_________________ 21

Chunks:
  TruePositive nam [12,13] = Boing Boingu (confidence=1.00)

(ChunkerEvaluator) Sentence #758 from 00102425 from sent3

Text  : Zależy mi na porównaniu ich z użytkownikami polskimi .
Tokens: 1_____ 2_ 3_ 4_________ 5__ 6 7____________ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #759 from 00102425 from sent4

Text  : Ankieta jest bardzo krótka - więc jeśli macie kilka minut i_ korzystali ście choć raz z_ serwisu Flickr ,_ będę wdzięczny za jej wypełnienie ._
Tokens: 1______ 2___ 3_____ 4_____ 5 6___ 7____ 8____ 9____ 10___ 11 12________ 13__ 14__ 15_ 16 17_____ 18____ 19 20__ 21_______ 22 23_ 24_________ 25

Chunks:
  TruePositive nam [18,18] = Flickr (confidence=1.00)

(ChunkerEvaluator) Sentence #760 from 00102425 from sent5

Text  : Wyniki badań pomogą lepiej zrozumieć , czemu służą licencje Creative Commons (_ szczególnie w_ przypadku udostępniania i_ korzystania z_ fotografii )_ ._
Tokens: 1_____ 2____ 3_____ 4_____ 5________ 6 7____ 8____ 9_______ 10______ 11_____ 12 13_________ 14 15_______ 16___________ 17 18_________ 19 20________ 21 22

Chunks:
  TruePositive nam [10,11] = Creative Commons (confidence=1.00)

(ChunkerEvaluator) Sentence #761 from 00102425 from sent6

Text  : Będę je prezentował podczas zbliżającego się warsztatu badawczego poświęconego wolnej kulturze ,_ który odbędzie się w_ ramach tegorocznego zjazdu iSummit ._
Tokens: 1___ 2_ 3__________ 4______ 5___________ 6__ 7________ 8_________ 9___________ 10____ 11______ 12 13___ 14______ 15_ 16 17____ 18__________ 19____ 20_____ 21

Chunks:
  FalseNegative nam [20,20] = iSummit

(ChunkerEvaluator) Sentence #762 from 00102425 from sent7

Text  : Z czasem - przynajmniej część z nich - pojawią się w_ sieci ._
Tokens: 1 2_____ 3 4___________ 5____ 6 7___ 8 9______ 10_ 11 12___ 13

Chunks:

2017-06-14 20:16:59,062 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 53 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102431.xml
(ChunkerEvaluator) Sentence #763 from 00102431 from sent1

Text  : Licklider i Taylor : nastanie powszechne cyfrowe robocie
Tokens: 1________ 2 3_____ 4 5_______ 6_________ 7______ 8______

Chunks:
  TruePositive nam [1,1] = Licklider (confidence=0.67)
  TruePositive nam [3,3] = Taylor (confidence=0.99)

(ChunkerEvaluator) Sentence #764 from 00102431 from sent2

Text  : “ Bezrobocie zniknęło by z powierzchni ziemi na zawsze ,_ biorąc pod uwagę ogrom zadania ,_ jakim było by dostosowanie oprogramowania sieci do wszystkich kolejnych generacji komputerów ,_ coraz bardziej depczących po piętach swych poprzedników ,_ aż cała populacja świata była by zaangażowana w_ nieskończone crecendo interaktywnego debugowania online ”_ J_ ._ C_ ._ R_ ._ Licklider i_ Robert W_ ._ Taylor ,_ “_ The Computer as a_ Communication Device ”_ (_ 1966 )_ ._
Tokens: 1 2_________ 3_______ 4_ 5 6__________ 7____ 8_ 9_____ 10 11____ 12_ 13___ 14___ 15_____ 16 17___ 18__ 19 20__________ 21____________ 22___ 23 24________ 25_______ 26_______ 27________ 28 29___ 30______ 31________ 32 33_____ 34___ 35__________ 36 37 38__ 39_______ 40____ 41__ 42 43__________ 44 45__________ 46______ 47____________ 48_________ 49____ 50 51 52 53 54 55 56 57_______ 58 59____ 60 61 62____ 63 64 65_ 66______ 67 68 69___________ 70____ 71 72 73__ 74 75

Chunks:
  TruePositive nam [51,57] = J . C . R . Licklider (confidence=1.00)
  TruePositive nam [59,62] = Robert W . Taylor (confidence=0.97)
  TruePositive nam [65,70] = The Computer as a Communication Device (confidence=0.97)
  FalsePositive nam [2,2] = Bezrobocie (confidence=0.54) (incorrect boundry)

(ChunkerEvaluator) Sentence #765 from 00102431 from sent3

Text  : Zdaję sobie sprawę , że łatwo jest naśmiewać się z_ futurystycznych wizji sprzed 40 lat ,_ a_ trudno być równie skutecznym wizjonerem co Licklider i_ s_ -_ ka ._
Tokens: 1____ 2____ 3_____ 4 5_ 6____ 7___ 8________ 9__ 10 11_____________ 12___ 13____ 14 15_ 16 17 18____ 19_ 20____ 21________ 22________ 23 24_______ 25 26 27 28 29

Chunks:
  TruePositive nam [24,24] = Licklider (confidence=0.99)

(ChunkerEvaluator) Sentence #766 from 00102431 from sent4

Text  : Ale jest coś niesamowicie naiwnego , a zarazem wzruszającego w_ wierze w_ możliwość rozwiązania problemu bezrobocia w_ skali globalnej poprzez zaangażowanie wszystkich w_ wyszukiwanie błędów w_ modelu uniwersalnej “_ commons based peer production “_
Tokens: 1__ 2___ 3__ 4___________ 5_______ 6 7 8______ 9____________ 10 11____ 12 13_______ 14_________ 15______ 16________ 17 18___ 19_______ 20_____ 21___________ 22________ 23 24__________ 25____ 26 27____ 28__________ 29 30_____ 31___ 32__ 33________ 34

Chunks:

2017-06-14 20:16:59,102 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 54 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102684.xml
(ChunkerEvaluator) Sentence #767 from 00102684 from sent1

Text  : dzień dobry , xxx , słucham
Tokens: 1____ 2____ 3 4__ 5 6______

Chunks:

(ChunkerEvaluator) Sentence #768 from 00102684 from sent2

Text  : dzień dobry , xxx z tej strony FILLER proszę pana ,_ ja mam takie pytanie
Tokens: 1____ 2____ 3 4__ 5 6__ 7_____ 8_____ 9_____ 10__ 11 12 13_ 14___ 15_____

Chunks:

(ChunkerEvaluator) Sentence #769 from 00102684 from sent3

Text  : FILLER proszę pana , jestem studentem i chciał by m_ się dowiedzieć ,_ jaka zniżka FILLER mnie dotyczy na przejazd środkami transportu miejskiego w_
Tokens: 1_____ 2_____ 3___ 4 5_____ 6________ 7 8_____ 9_ 10 11_ 12________ 13 14__ 15____ 16____ 17__ 18_____ 19 20______ 21______ 22________ 23________ 24

Chunks:

(ChunkerEvaluator) Sentence #770 from 00102684 from sent4

Text  : pan jest
Tokens: 1__ 2___

Chunks:

(ChunkerEvaluator) Sentence #771 from 00102684 from sent5

Text  : studentem FILLER jakich studiów ?
Tokens: 1________ 2_____ 3_____ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #772 from 00102684 from sent6

Text  : FILLER zaocznych
Tokens: 1_____ 2________

Chunks:

(ChunkerEvaluator) Sentence #773 from 00102684 from sent7

Text  : zaocznych , ale magisterskich ?
Tokens: 1________ 2 3__ 4____________ 5

Chunks:

(ChunkerEvaluator) Sentence #774 from 00102684 from sent8

Text  : nie , pierwszego stopnia
Tokens: 1__ 2 3_________ 4______

Chunks:

(ChunkerEvaluator) Sentence #775 from 00102684 from sent9

Text  : czyli lice licencjat ?
Tokens: 1____ 2___ 3________ 4

Chunks:

(ChunkerEvaluator) Sentence #776 from 00102684 from sent10

Text  : tak , tak , inżynierskie
Tokens: 1__ 2 3__ 4 5___________

Chunks:

(ChunkerEvaluator) Sentence #777 from 00102684 from sent11

Text  : na podstawie ważnej FILLER legitymacji studenckiej pięćdziesiąt procent bez względu na wiek
Tokens: 1_ 2________ 3_____ 4_____ 5__________ 6__________ 7___________ 8______ 9__ 10_____ 11 12__

Chunks:

(ChunkerEvaluator) Sentence #778 from 00102684 from sent12

Text  : bez względu na wiek tak ?
Tokens: 1__ 2______ 3_ 4___ 5__ 6

Chunks:

(ChunkerEvaluator) Sentence #779 from 00102684 from sent13

Text  : właśnie o to mnie chodziło , no dziękuję bardzo
Tokens: 1______ 2 3_ 4___ 5_______ 6 7_ 8_______ 9_____

Chunks:

(ChunkerEvaluator) Sentence #780 from 00102684 from sent14

Text  : proszę bardzo
Tokens: 1_____ 2_____

Chunks:

(ChunkerEvaluator) Sentence #781 from 00102684 from sent15

Text  : do widzenia
Tokens: 1_ 2_______

Chunks:

(ChunkerEvaluator) Sentence #782 from 00102684 from sent16

Text  : do usłyszenia
Tokens: 1_ 2_________

Chunks:

2017-06-14 20:16:59,132 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 55 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102691.xml
(ChunkerEvaluator) Sentence #783 from 00102691 from sent1

Text  : dzień dobry , xxx , w czym mogę pomóc ?_
Tokens: 1____ 2____ 3 4__ 5 6 7___ 8___ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #784 from 00102691 from sent2

Text  : dzień dobry , chciała by m się dowiedzieć o autobusy FILLER ze Żwirki Wigury przy Pruszkowskiej FILLER jadące w_ kierunku Śródmieścia przed piątą rano w_ rozkładzie powszednim ._ ._ ._
Tokens: 1____ 2____ 3 4______ 5_ 6 7__ 8_________ 9 10______ 11____ 12 13____ 14____ 15__ 16___________ 17____ 18____ 19 20______ 21_________ 22___ 23___ 24__ 25 26________ 27________ 28 29 30

Chunks:
  TruePositive nam [16,16] = Pruszkowskiej (confidence=1.00)
  TruePositive nam [21,21] = Śródmieścia (confidence=0.99)
  FalsePositive nam [13,14] = Żwirki Wigury (confidence=1.00) (incorrect boundry)
  FalseNegative nam [13,13] = Żwirki
  FalseNegative nam [14,14] = Wigury

(ChunkerEvaluator) Sentence #785 from 00102691 from sent3

Text  : z przystanku Pruszkowska
Tokens: 1 2_________ 3__________

Chunks:
  TruePositive nam [3,3] = Pruszkowska (confidence=0.96)

(ChunkerEvaluator) Sentence #786 from 00102691 from sent4

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #787 from 00102691 from sent5

Text  : Pruszkowska
Tokens: 1__________

Chunks:
  FalseNegative nam [1,1] = Pruszkowska

(ChunkerEvaluator) Sentence #788 from 00102691 from sent6

Text  : tak . . .
Tokens: 1__ 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #789 from 00102691 from sent7

Text  : proszę panią , pięćset dwanaście będzie czwarta pięćdziesiąt jeden
Tokens: 1_____ 2____ 3 4______ 5________ 6_____ 7______ 8___________ 9____

Chunks:

(ChunkerEvaluator) Sentence #790 from 00102691 from sent8

Text  : czwarta pięćdziesiąt jeden
Tokens: 1______ 2___________ 3____

Chunks:

(ChunkerEvaluator) Sentence #791 from 00102691 from sent9

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #792 from 00102691 from sent10

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #793 from 00102691 from sent11

Text  : czwarta pięćdziesiąt jeden
Tokens: 1______ 2___________ 3____

Chunks:

(ChunkerEvaluator) Sentence #794 from 00102691 from sent12

Text  : FILLER . . .
Tokens: 1_____ 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #795 from 00102691 from sent13

Text  : a sześćset jedenaście może jakieś jest
Tokens: 1 2_______ 3_________ 4___ 5_____ 6___

Chunks:

(ChunkerEvaluator) Sentence #796 from 00102691 from sent14

Text  : FILLER sześćset jedenaście tak już zerknę . . .
Tokens: 1_____ 2_______ 3_________ 4__ 5__ 6_____ 7 8 9

Chunks:

(ChunkerEvaluator) Sentence #797 from 00102691 from sent15

Text  : sześćset jedenaście był by czwarta siedemnaście i czwarta czterdzieści siedem
Tokens: 1_______ 2_________ 3__ 4_ 5______ 6___________ 7 8______ 9___________ 10____

Chunks:

(ChunkerEvaluator) Sentence #798 from 00102691 from sent16

Text  : czwarta czterdzieści siedem FILLER
Tokens: 1______ 2___________ 3_____ 4_____

Chunks:

(ChunkerEvaluator) Sentence #799 from 00102691 from sent17

Text  : a
Tokens: 1

Chunks:

(ChunkerEvaluator) Sentence #800 from 00102691 from sent18

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #801 from 00102691 from sent19

Text  : czy sto pięćdziesiąt siedem przed piątą jakieś jest ?
Tokens: 1__ 2__ 3___________ 4_____ 5____ 6____ 7_____ 8___ 9

Chunks:

(ChunkerEvaluator) Sentence #802 from 00102691 from sent20

Text  : już sprawdzam
Tokens: 1__ 2________

Chunks:

(ChunkerEvaluator) Sentence #803 from 00102691 from sent21

Text  : jeśli można . . .
Tokens: 1____ 2____ 3 4 5

Chunks:

(ChunkerEvaluator) Sentence #804 from 00102691 from sent22

Text  : sto pięćdziesiąt piąta dziewięć dopiero
Tokens: 1__ 2___________ 3____ 4_______ 5______

Chunks:

(ChunkerEvaluator) Sentence #805 from 00102691 from sent23

Text  : pierwszy
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #806 from 00102691 from sent24

Text  : dziękuję uprzejmie
Tokens: 1_______ 2________

Chunks:

(ChunkerEvaluator) Sentence #807 from 00102691 from sent25

Text  : proszę
Tokens: 1_____

Chunks:

(ChunkerEvaluator) Sentence #808 from 00102691 from sent26

Text  : bardzo
Tokens: 1_____

Chunks:

(ChunkerEvaluator) Sentence #809 from 00102691 from sent27

Text  : do widzenia
Tokens: 1_ 2_______

Chunks:

2017-06-14 20:16:59,167 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 56 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102694.xml
(ChunkerEvaluator) Sentence #810 from 00102694 from sent1

Text  : xxx , dzień dobry
Tokens: 1__ 2 3____ 4____

Chunks:

(ChunkerEvaluator) Sentence #811 from 00102694 from sent2

Text  : FILLER dzień dobry , proszę pana , chciała by m_ się FILLER dowiedzieć ,_ wiem że z_ Dworca FILLER Centralnego gdzieś na w_ pobliżu FILLER wyrusza autobus siedemset to
Tokens: 1_____ 2____ 3____ 4 5_____ 6___ 7 8______ 9_ 10 11_ 12____ 13________ 14 15__ 16 17 18____ 19____ 20_________ 21____ 22 23 24_____ 25____ 26_____ 27_____ 28_______ 29

Chunks:
  TruePositive nam [18,20] = Dworca FILLER Centralnego (confidence=1.00)

(ChunkerEvaluator) Sentence #812 from 00102694 from sent3

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #813 from 00102694 from sent4

Text  : taka linia podmiejska FILLER do Konstancina chyba , ale nie wiem ,_ z_ której strony FILLER się zatrzymuje ,_ czy od Emilii Plater ,_ czy od FILLER strony Złotych Tarasów ,_ czyli tam gdzieś FILLER
Tokens: 1___ 2____ 3_________ 4_____ 5_ 6__________ 7____ 8 9__ 10_ 11__ 12 13 14____ 15____ 16____ 17_ 18________ 19 20_ 21 22____ 23____ 24 25_ 26 27____ 28____ 29_____ 30_____ 31 32___ 33_ 34____ 35____

Chunks:
  TruePositive nam [6,6] = Konstancina (confidence=0.99)
  TruePositive nam [22,23] = Emilii Plater (confidence=1.00)
  TruePositive nam [29,30] = Złotych Tarasów (confidence=1.00)

(ChunkerEvaluator) Sentence #814 from 00102694 from sent5

Text  : to jest tak , od właśnie od strony Złotych Tarasów nad na tej pętli ,_ pętli przy samej hali Dworca
Tokens: 1_ 2___ 3__ 4 5_ 6______ 7_ 8_____ 9______ 10_____ 11_ 12 13_ 14___ 15 16___ 17__ 18___ 19__ 20____

Chunks:
  TruePositive nam [9,10] = Złotych Tarasów (confidence=0.99)
  FalsePositive nam [20,20] = Dworca (confidence=0.96) (incorrect boundry)

(ChunkerEvaluator) Sentence #815 from 00102694 from sent6

Text  : samej hali Dworca
Tokens: 1____ 2___ 3_____

Chunks:
  FalsePositive nam [3,3] = Dworca (confidence=0.96) (incorrect boundry)

(ChunkerEvaluator) Sentence #816 from 00102694 from sent7

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #817 from 00102694 from sent8

Text  : tak ?
Tokens: 1__ 2

Chunks:

(ChunkerEvaluator) Sentence #818 from 00102694 from sent9

Text  : dobrze , dziękuję bardzo
Tokens: 1_____ 2 3_______ 4_____

Chunks:

(ChunkerEvaluator) Sentence #819 from 00102694 from sent10

Text  : dziękuję
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #820 from 00102694 from sent11

Text  : do widzenia
Tokens: 1_ 2_______

Chunks:

(ChunkerEvaluator) Sentence #821 from 00102694 from sent12

Text  : do widzenia
Tokens: 1_ 2_______

Chunks:

2017-06-14 20:16:59,195 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 57 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102713.xml
(ChunkerEvaluator) Sentence #822 from 00102713 from sent1

Text  : FILLER dobry wieczór , xxx
Tokens: 1_____ 2____ 3______ 4 5__

Chunks:

(ChunkerEvaluator) Sentence #823 from 00102713 from sent2

Text  : słucham
Tokens: 1______

Chunks:

(ChunkerEvaluator) Sentence #824 from 00102713 from sent3

Text  : dobry wieczór pani a
Tokens: 1____ 2______ 3___ 4

Chunks:

(ChunkerEvaluator) Sentence #825 from 00102713 from sent4

Text  : dobry wieczór
Tokens: 1____ 2______

Chunks:

(ChunkerEvaluator) Sentence #826 from 00102713 from sent5

Text  : prosić o taką informację , teraz w związku z tym że sto sześćdziesiąt siedem i_ sto pięćdziesiąt dziewięć zmieniły trochę trasę FILLER bo tam się coś dzieje na Ciołka FILLER gdzie się __ __ __ gdzie wysiąść z_ autobusu sto sześćdziesiąt siedem FILLER żeby się przesiąść do stu pięćdziesięciu dziewięciu i_ dojechać na Jana Olbrachta potem ._ ._ ._
Tokens: 1_____ 2 3___ 4_________ 5 6____ 7 8______ 9 10_ 11 12_ 13___________ 14____ 15 16_ 17__________ 18______ 19______ 20____ 21___ 22____ 23 24_ 25_ 26_ 27____ 28 29____ 30____ 31___ 32_ 33 34 35 36___ 37_____ 38 39______ 40_ 41___________ 42____ 43____ 44__ 45_ 46_______ 47 48_ 49____________ 50________ 51 52______ 53 54__ 55_______ 56___ 57 58 59

Chunks:
  TruePositive nam [29,29] = Ciołka (confidence=0.98)
  TruePositive nam [54,55] = Jana Olbrachta (confidence=1.00)

(ChunkerEvaluator) Sentence #827 from 00102713 from sent6

Text  : na Jana Olbrachta
Tokens: 1_ 2___ 3________

Chunks:
  TruePositive nam [2,3] = Jana Olbrachta (confidence=1.00)

(ChunkerEvaluator) Sentence #828 from 00102713 from sent7

Text  : czy one mają , bo przedtem miały wspólny przystanek na FILLER na Ciołka ,_ a_ teraz nie wiem ,_ czy one Deotymy jadą i_ tam mają przystanek
Tokens: 1__ 2__ 3___ 4 5_ 6_______ 7____ 8______ 9_________ 10 11____ 12 13____ 14 15 16___ 17_ 18__ 19 20_ 21_ 22_____ 23__ 24 25_ 26__ 27________

Chunks:
  TruePositive nam [13,13] = Ciołka (confidence=0.99)
  TruePositive nam [22,22] = Deotymy (confidence=0.76)

(ChunkerEvaluator) Sentence #829 from 00102713 from sent8

Text  : FILLER proszę pani , tak , one teraz jadą ulicą Deotymy
Tokens: 1_____ 2_____ 3___ 4 5__ 6 7__ 8____ 9___ 10___ 11_____

Chunks:
  TruePositive nam [11,11] = Deotymy (confidence=1.00)

(ChunkerEvaluator) Sentence #830 from 00102713 from sent9

Text  : to gdzieś tam przy Górczewskiej będą miały przystanek ?
Tokens: 1_ 2_____ 3__ 4___ 5___________ 6___ 7____ 8_________ 9

Chunks:
  TruePositive nam [5,5] = Górczewskiej (confidence=1.00)

(ChunkerEvaluator) Sentence #831 from 00102713 from sent10

Text  : tak ? . . .
Tokens: 1__ 2 3 4 5

Chunks:

(ChunkerEvaluator) Sentence #832 from 00102713 from sent11

Text  : momencik , dobrze ?
Tokens: 1_______ 2 3_____ 4

Chunks:

(ChunkerEvaluator) Sentence #833 from 00102713 from sent12

Text  : dobrze , dobrze , proszę sprawdzić FILLER
Tokens: 1_____ 2 3_____ 4 5_____ 6________ 7_____

Chunks:

(ChunkerEvaluator) Sentence #834 from 00102713 from sent13

Text  : FILLER proszę pani , bo może się pani na przykład na pętli tutaj na Kole przesiąść
Tokens: 1_____ 2_____ 3___ 4 5_ 6___ 7__ 8___ 9_ 10______ 11 12___ 13___ 14 15__ 16_______

Chunks:
  FalseNegative nam [15,15] = Kole

(ChunkerEvaluator) Sentence #835 from 00102713 from sent14

Text  : może wygodniej by
Tokens: 1___ 2________ 3_

Chunks:

(ChunkerEvaluator) Sentence #836 from 00102713 from sent15

Text  : było
Tokens: 1___

Chunks:

(ChunkerEvaluator) Sentence #837 from 00102713 from sent16

Text  : to było by
Tokens: 1_ 2___ 3_

Chunks:

(ChunkerEvaluator) Sentence #838 from 00102713 from sent17

Text  : najwygodniej . . .
Tokens: 1___________ 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #839 from 00102713 from sent18

Text  : na pętli na Kole
Tokens: 1_ 2____ 3_ 4___

Chunks:
  TruePositive nam [4,4] = Kole (confidence=0.99)

(ChunkerEvaluator) Sentence #840 from 00102713 from sent19

Text  : dobrze
Tokens: 1_____

Chunks:

(ChunkerEvaluator) Sentence #841 from 00102713 from sent20

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #842 from 00102713 from sent21

Text  : to jest FILLER to jest ta dawna pętla tramwajowa tak ?_
Tokens: 1_ 2___ 3_____ 4_ 5___ 6_ 7____ 8____ 9_________ 10_ 11

Chunks:

(ChunkerEvaluator) Sentence #843 from 00102713 from sent22

Text  : i
Tokens: 1

Chunks:

(ChunkerEvaluator) Sentence #844 from 00102713 from sent23

Text  : przy bazarku
Tokens: 1___ 2______

Chunks:

(ChunkerEvaluator) Sentence #845 from 00102713 from sent24

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #846 from 00102713 from sent25

Text  : znaczy
Tokens: 1_____

Chunks:

(ChunkerEvaluator) Sentence #847 from 00102713 from sent26

Text  : tak , tak , tam jest bazarek
Tokens: 1__ 2 3__ 4 5__ 6___ 7______

Chunks:

(ChunkerEvaluator) Sentence #848 from 00102713 from sent27

Text  : bo dobrze , dziękuję pani
Tokens: 1_ 2_____ 3 4_______ 5___

Chunks:

(ChunkerEvaluator) Sentence #849 from 00102713 from sent28

Text  : serdecznie dobrej nocy życzę
Tokens: 1_________ 2_____ 3___ 4____

Chunks:

(ChunkerEvaluator) Sentence #850 from 00102713 from sent29

Text  : dziękuję , dobranoc
Tokens: 1_______ 2 3_______

Chunks:

2017-06-14 20:16:59,250 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 58 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103585.xml
(ChunkerEvaluator) Sentence #851 from 00103585 from sent1

Text  : Na wszystkich wystawach sklepowych i w nielicznych oknach mieszkań wisiały duże zdjęcia Hoffmana z_ czarną przepaską w_ lewym rogu ._
Tokens: 1_ 2_________ 3________ 4_________ 5 6 7__________ 8_____ 9_______ 10_____ 11__ 12_____ 13______ 14 15____ 16_______ 17 18___ 19__ 20

Chunks:
  TruePositive nam [13,13] = Hoffmana (confidence=0.99)

(ChunkerEvaluator) Sentence #852 from 00103585 from sent2

Text  : Takie samo zdjęcie przyklejone było na przedniej szybie autobusu ,_ do którego Joel wsiadał przy akompaniamencie marsza żałobnego ,_ rozbrzmiewającego w_ środku ._
Tokens: 1____ 2___ 3______ 4__________ 5___ 6_ 7________ 8_____ 9_______ 10 11 12_____ 13__ 14_____ 15__ 16_____________ 17____ 18_______ 19 20_______________ 21 22____ 23

Chunks:
  TruePositive nam [13,13] = Joel (confidence=1.00)

(ChunkerEvaluator) Sentence #853 from 00103585 from sent3

Text  : Na Placu Przyjaźni , w pobliżu którego mieszkał Petrak ,_ rozbrzmiewał kolejny z_ utworów odbierających ochotę do życia ._
Tokens: 1_ 2____ 3________ 4 5 6______ 7______ 8_______ 9_____ 10 11__________ 12_____ 13 14_____ 15___________ 16____ 17 18___ 19

Chunks:
  TruePositive nam [2,3] = Placu Przyjaźni (confidence=0.93)
  TruePositive nam [9,9] = Petrak (confidence=1.00)

(ChunkerEvaluator) Sentence #854 from 00103585 from sent4

Text  : Jakby na przekór muzyce , w tej części miasta czuło się już radosne podniecenie uroczystością mającą rozpocząć się kilka kilometrów dalej ._
Tokens: 1____ 2_ 3______ 4_____ 5 6 7__ 8_____ 9_____ 10___ 11_ 12_ 13_____ 14_________ 15___________ 16____ 17_______ 18_ 19___ 20________ 21___ 22

Chunks:

(ChunkerEvaluator) Sentence #855 from 00103585 from sent5

Text  : Po raz pierwszy od kilku miesięcy Joel poczuł się swobodny i_ odprężony ._
Tokens: 1_ 2__ 3_______ 4_ 5____ 6_______ 7___ 8_____ 9__ 10______ 11 12_______ 13

Chunks:
  TruePositive nam [7,7] = Joel (confidence=1.00)

(ChunkerEvaluator) Sentence #856 from 00103585 from sent6

Text  : Być może właśnie dlatego przy napotkanej budce telefonicznej nagle przystanął ._
Tokens: 1__ 2___ 3______ 4______ 5___ 6_________ 7____ 8____________ 9____ 10________ 11

Chunks:

(ChunkerEvaluator) Sentence #857 from 00103585 from sent7

Text  : Czy zamiast narażać się odszukiwaniem Petraka , który od pół roku po awarii kabla miał nieczynny telefon ,_ nie lepiej było zadzwonić do Joanny ?_
Tokens: 1__ 2______ 3______ 4__ 5____________ 6______ 7 8____ 9_ 10_ 11__ 12 13____ 14___ 15__ 16_______ 17_____ 18 19_ 20____ 21__ 22_______ 23 24____ 25

Chunks:
  TruePositive nam [6,6] = Petraka (confidence=0.99)
  TruePositive nam [24,24] = Joanny (confidence=1.00)

(ChunkerEvaluator) Sentence #858 from 00103585 from sent8

Text  : Jej numer przypomniał mu się w jednej chwili i rozpoczął kuszenie ._
Tokens: 1__ 2____ 3__________ 4_ 5__ 6 7_____ 8_____ 9 10_______ 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #859 from 00103585 from sent9

Text  : Szybko jednak zdał sobie sprawę z niestosowności tego pomysłu i_ poszedł pod dom Petraka ._
Tokens: 1_____ 2_____ 3___ 4____ 5_____ 6 7_____________ 8___ 9______ 10 11_____ 12_ 13_ 14_____ 15

Chunks:
  TruePositive nam [14,14] = Petraka (confidence=0.99)

(ChunkerEvaluator) Sentence #860 from 00103585 from sent10

Text  : Była to stara kamienica w bocznej , cichej uliczce ._
Tokens: 1___ 2_ 3____ 4________ 5 6______ 7 8_____ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #861 from 00103585 from sent11

Text  : Petrak mieszkał na parterze .
Tokens: 1_____ 2_______ 3_ 4_______ 5

Chunks:
  TruePositive nam [1,1] = Petrak (confidence=0.75)

(ChunkerEvaluator) Sentence #862 from 00103585 from sent12

Text  : Joel parę razy obszedł dom i podwórko , wypatrując śladów obstawienia lokalu ._
Tokens: 1___ 2___ 3___ 4______ 5__ 6 7_______ 8 9_________ 10____ 11_________ 12____ 13

Chunks:
  FalseNegative nam [1,1] = Joel

(ChunkerEvaluator) Sentence #863 from 00103585 from sent13

Text  : Mieszkanie nie wzbudzało podejrzeń .
Tokens: 1_________ 2__ 3________ 4________ 5

Chunks:

(ChunkerEvaluator) Sentence #864 from 00103585 from sent14

Text  : Nacisnął przycisk dzwonka .
Tokens: 1_______ 2_______ 3______ 4

Chunks:

(ChunkerEvaluator) Sentence #865 from 00103585 from sent15

Text  : Nikt nie otwierał .
Tokens: 1___ 2__ 3_______ 4

Chunks:

(ChunkerEvaluator) Sentence #866 from 00103585 from sent16

Text  : Nacisnął drugi raz .
Tokens: 1_______ 2____ 3__ 4

Chunks:

(ChunkerEvaluator) Sentence #867 from 00103585 from sent17

Text  : Znowu nikt nie otwierał , ale także nikt nie wypadł z_ mieszkania i_ nie wciągnął do środka ._
Tokens: 1____ 2___ 3__ 4_______ 5 6__ 7____ 8___ 9__ 10____ 11 12________ 13 14_ 15______ 16 17____ 18

Chunks:

(ChunkerEvaluator) Sentence #868 from 00103585 from sent18

Text  : Złapał za klamkę .
Tokens: 1_____ 2_ 3_____ 4

Chunks:

(ChunkerEvaluator) Sentence #869 from 00103585 from sent19

Text  : Drzwi były otwarte .
Tokens: 1____ 2___ 3______ 4

Chunks:

(ChunkerEvaluator) Sentence #870 from 00103585 from sent20

Text  : Wszedł do przedpokoju .
Tokens: 1_____ 2_ 3__________ 4

Chunks:

(ChunkerEvaluator) Sentence #871 from 00103585 from sent21

Text  : W pierwszej chwili pomyślał , że Petrak przesadza ze swoją niechlujnością i_ bałaganiarstwem ,_ kiedy jednak dostrzedł tapetę zerwaną z_ połowy ściany i_ potłuczony żyradnol ,_ byl pewien ,_ że stało się coś złego ._
Tokens: 1 2________ 3_____ 4_______ 5 6_ 7_____ 8________ 9_ 10___ 11____________ 12 13_____________ 14 15___ 16____ 17_______ 18____ 19_____ 20 21____ 22____ 23 24________ 25______ 26 27_ 28____ 29 30 31___ 32_ 33_ 34___ 35

Chunks:
  TruePositive nam [7,7] = Petrak (confidence=1.00)

(ChunkerEvaluator) Sentence #872 from 00103585 from sent22

Text  : Wpadł do pokoju .
Tokens: 1____ 2_ 3_____ 4

Chunks:

(ChunkerEvaluator) Sentence #873 from 00103585 from sent23

Text  : Potłuczone szkła , strzępy dywanu , połamane meble , książki ,_ luźne kartki ,_ zerwane tynki pokrywały podłogę warstwą kolorowego gruzu ._
Tokens: 1_________ 2____ 3 4______ 5_____ 6 7_______ 8____ 9 10_____ 11 12___ 13____ 14 15_____ 16___ 17_______ 18_____ 19_____ 20________ 21___ 22

Chunks:

(ChunkerEvaluator) Sentence #874 from 00103585 from sent24

Text  : Nieobecność Petraka na cośrodowych spotkaniach stała się wreszcie jasna ._
Tokens: 1__________ 2______ 3_ 4__________ 5__________ 6____ 7__ 8_______ 9____ 10

Chunks:
  TruePositive nam [2,2] = Petraka (confidence=0.73)

(ChunkerEvaluator) Sentence #875 from 00103585 from sent25

Text  : Joel szybko wybiegł z mieszkania .
Tokens: 1___ 2_____ 3______ 4 5_________ 6

Chunks:
  TruePositive nam [1,1] = Joel (confidence=0.98)

(ChunkerEvaluator) Sentence #876 from 00103585 from sent26

Text  : Przez godzinę krążył po najbardziej zatłoczony przystankach metra , by oderwać się od tajniaków ,_ którzy mogli się do niego przykleić ._
Tokens: 1____ 2______ 3_____ 4_ 5__________ 6_________ 7___________ 8____ 9 10 11_____ 12_ 13 14_______ 15 16____ 17___ 18_ 19 20___ 21_______ 22

Chunks:

(ChunkerEvaluator) Sentence #877 from 00103585 from sent27

Text  : Teraz , kiedy Petrak nie mógł już skontaktować go z_ organizacją ,_ Joel miał wreszcie wygodny pretekst ,_ by ze swoją godnością pójść na kompromis i_ szukać pomocy u_ Joanny ._
Tokens: 1____ 2 3____ 4_____ 5__ 6___ 7__ 8___________ 9_ 10 11_________ 12 13__ 14__ 15______ 16_____ 17______ 18 19 20 21___ 22_______ 23___ 24 25_______ 26 27____ 28____ 29 30____ 31

Chunks:
  TruePositive nam [4,4] = Petrak (confidence=1.00)
  TruePositive nam [13,13] = Joel (confidence=1.00)
  TruePositive nam [30,30] = Joanny (confidence=1.00)

(ChunkerEvaluator) Sentence #878 from 00103585 from sent28

Text  : Znał kilka adresów i telefonów z pewnością bardziej odpowiednich ,_ ale wybrał właśnie ten ,_ bo zdawał sobie sprawę ,_ że bardzo chce usłyszeć jej głos ._
Tokens: 1___ 2____ 3______ 4 5________ 6 7________ 8_______ 9___________ 10 11_ 12____ 13_____ 14_ 15 16 17____ 18___ 19____ 20 21 22____ 23__ 24______ 25_ 26__ 27

Chunks:

(ChunkerEvaluator) Sentence #879 from 00103585 from sent29

Text  : Wrócił do mieszkania swoich gospodarzy .
Tokens: 1_____ 2_ 3_________ 4_____ 5_________ 6

Chunks:

(ChunkerEvaluator) Sentence #880 from 00103585 from sent30

Text  : Wyjął ze skrytki następny komplet dokumentów , nową paczkę papierosów oraz jasną perukę ,_ naklejane znamię i_ okulary mężczyzny z_ dowodowego zdjęcia ._
Tokens: 1____ 2_ 3______ 4_______ 5______ 6_________ 7 8___ 9_____ 10________ 11__ 12___ 13____ 14 15_______ 16____ 17 18_____ 19_______ 20 21________ 22_____ 23

Chunks:

(ChunkerEvaluator) Sentence #881 from 00103585 from sent31

Text  : Szybko ucharakteryzował się przed lustrem i wyszedł .
Tokens: 1_____ 2_______________ 3__ 4____ 5______ 6 7______ 8

Chunks:

2017-06-14 20:16:59,360 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 59 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103591.xml
(ChunkerEvaluator) Sentence #882 from 00103591 from sent1

Text  : ‒ Byli ludzie .
Tokens: 1 2___ 3_____ 4

Chunks:

(ChunkerEvaluator) Sentence #883 from 00103591 from sent2

Text  : Miałem i uczniów , i wielbicielki .
Tokens: 1_____ 2 3______ 4 5 6___________ 7

Chunks:

(ChunkerEvaluator) Sentence #884 from 00103591 from sent3

Text  : I naśladowcy się znaleźli .
Tokens: 1 2_________ 3__ 4_______ 5

Chunks:

(ChunkerEvaluator) Sentence #885 from 00103591 from sent4

Text  : Ale to wszystko na nic , bo gdy przestał em być im potrzebny ,_ po prostu odeszli ._
Tokens: 1__ 2_ 3_______ 4_ 5__ 6 7_ 8__ 9_______ 10 11_ 12 13_______ 14 15 16____ 17_____ 18

Chunks:

(ChunkerEvaluator) Sentence #886 from 00103591 from sent5

Text  : Zostawili mnie .
Tokens: 1________ 2___ 3

Chunks:

(ChunkerEvaluator) Sentence #887 from 00103591 from sent6

Text  : Nawet cichego „ dziękuję ” nie usłyszał em , żadnej wdzięczności ._
Tokens: 1____ 2______ 3 4_______ 5 6__ 7_______ 8_ 9 10____ 11__________ 12

Chunks:

(ChunkerEvaluator) Sentence #888 from 00103591 from sent7

Text  : A dał em im więcej , niż mogli oczekiwać ._
Tokens: 1 2__ 3_ 4_ 5_____ 6 7__ 8____ 9________ 10

Chunks:

(ChunkerEvaluator) Sentence #889 from 00103591 from sent8

Text  : Pokazał em rzeczy , o których nie śnili .
Tokens: 1______ 2_ 3_____ 4 5 6______ 7__ 8____ 9

Chunks:

(ChunkerEvaluator) Sentence #890 from 00103591 from sent9

Text  : I jak mi się odwdzięczyli ?
Tokens: 1 2__ 3_ 4__ 5___________ 6

Chunks:

(ChunkerEvaluator) Sentence #891 from 00103591 from sent10

Text  : Po tylu latach , po tylu latach przeżytych razem z_ tyloma wspaniałymi ludźmi znów był em sam ._
Tokens: 1_ 2___ 3_____ 4 5_ 6___ 7_____ 8_________ 9____ 10 11____ 12_________ 13____ 14__ 15_ 16 17_ 18

Chunks:

(ChunkerEvaluator) Sentence #892 from 00103591 from sent11

Text  : Ja jeden .
Tokens: 1_ 2____ 3

Chunks:

(ChunkerEvaluator) Sentence #893 from 00103591 from sent12

Text  : Ja i mój marny tobołek .
Tokens: 1_ 2 3__ 4____ 5______ 6

Chunks:

(ChunkerEvaluator) Sentence #894 from 00103591 from sent13

Text  : Zostały ideały .
Tokens: 1______ 2_____ 3

Chunks:

(ChunkerEvaluator) Sentence #895 from 00103591 from sent14

Text  : Zostały wielkie czyny .
Tokens: 1______ 2______ 3____ 4

Chunks:

(ChunkerEvaluator) Sentence #896 from 00103591 from sent15

Text  : Ale zabrakło siły i energii , żeby zaczynać od nowa ._
Tokens: 1__ 2_______ 3___ 4 5______ 6 7___ 8_______ 9_ 10__ 11

Chunks:

(ChunkerEvaluator) Sentence #897 from 00103591 from sent16

Text  : Minęły lata , kiedy uświadomił em sobie , że ludzie ,_ w_ których pokładał em moje nadzieje bycia szczęśliwym ,_ nie są mnie warci ._
Tokens: 1_____ 2___ 3 4____ 5_________ 6_ 7____ 8 9_ 10____ 11 12 13_____ 14______ 15 16__ 17______ 18___ 19_________ 20 21_ 22 23__ 24___ 25

Chunks:

(ChunkerEvaluator) Sentence #898 from 00103591 from sent17

Text  : Gdy jesteś im potrzebny , wtedy cię szanują .
Tokens: 1__ 2_____ 3_ 4________ 5 6____ 7__ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #899 from 00103591 from sent18

Text  : Wystarczy , że odkryją drzemiący w sobie potencjał i już ich nie ma obok ciebie ._
Tokens: 1________ 2 3_ 4______ 5________ 6 7____ 8________ 9 10_ 11_ 12_ 13 14__ 15____ 16

Chunks:

(ChunkerEvaluator) Sentence #900 from 00103591 from sent19

Text  : W jednym momencie twój świat może się zmienić nie do poznania i_ co wtedy zrobisz ?_
Tokens: 1 2_____ 3_______ 4___ 5____ 6___ 7__ 8______ 9__ 10 11______ 12 13 14___ 15_____ 16

Chunks:

(ChunkerEvaluator) Sentence #901 from 00103591 from sent20

Text  : Nie sądził em , że może mi się to kiedyś przydarzyć ._
Tokens: 1__ 2_____ 3_ 4 5_ 6___ 7_ 8__ 9_ 10____ 11________ 12

Chunks:

(ChunkerEvaluator) Sentence #902 from 00103591 from sent21

Text  : Ale stało się .
Tokens: 1__ 2____ 3__ 4

Chunks:

(ChunkerEvaluator) Sentence #903 from 00103591 from sent22

Text  : Starzec zrobił krótką przerwę .
Tokens: 1______ 2_____ 3_____ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #904 from 00103591 from sent23

Text  : Złapał oddech i zaczął gładzić róg zawiniątka jedną dłonią ,_ a_ palcami drugiej delikatnie muskał węzeł na sznurku ._
Tokens: 1_____ 2_____ 3 4_____ 5______ 6__ 7_________ 8____ 9_____ 10 11 12_____ 13_____ 14________ 15____ 16___ 17 18_____ 19

Chunks:

(ChunkerEvaluator) Sentence #905 from 00103591 from sent24

Text  : ‒ Ona jedna sprawiła , że przetrwałem .
Tokens: 1 2__ 3____ 4_______ 5 6_ 7__________ 8

Chunks:

(ChunkerEvaluator) Sentence #906 from 00103591 from sent25

Text  : Ona jedna się nie wyłamała .
Tokens: 1__ 2____ 3__ 4__ 5_______ 6

Chunks:

(ChunkerEvaluator) Sentence #907 from 00103591 from sent26

Text  : Została ze mną do końca .
Tokens: 1______ 2_ 3__ 4_ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #908 from 00103591 from sent27

Text  : Zawsze mogł em do niej wrócić i na nowo zacząć poznawać jej tajemnice ._
Tokens: 1_____ 2___ 3_ 4_ 5___ 6_____ 7 8_ 9___ 10____ 11______ 12_ 13_______ 14

Chunks:

(ChunkerEvaluator) Sentence #909 from 00103591 from sent28

Text  : W moich objęciach należała tylko do mnie .
Tokens: 1 2____ 3________ 4_______ 5____ 6_ 7___ 8

Chunks:

(ChunkerEvaluator) Sentence #910 from 00103591 from sent29

Text  : Ona i ja tworzyli śmy jeden doskonały twór .
Tokens: 1__ 2 3_ 4_______ 5__ 6____ 7________ 8___ 9

Chunks:

(ChunkerEvaluator) Sentence #911 from 00103591 from sent30

Text  : Tylko ona była warta miłości .
Tokens: 1____ 2__ 3___ 4____ 5______ 6

Chunks:

(ChunkerEvaluator) Sentence #912 from 00103591 from sent31

Text  : Uczciwa , niezmienna .
Tokens: 1______ 2 3_________ 4

Chunks:

(ChunkerEvaluator) Sentence #913 from 00103591 from sent32

Text  : Szkoda , że na ludzki sposób pozbawiona duszy .
Tokens: 1_____ 2 3_ 4_ 5_____ 6_____ 7_________ 8____ 9

Chunks:

(ChunkerEvaluator) Sentence #914 from 00103591 from sent33

Text  : W tym momencie zrozumiał em , co starzec trzymał w_ swoich rękach ._
Tokens: 1 2__ 3_______ 4________ 5_ 6 7_ 8______ 9______ 10 11____ 12____ 13

Chunks:

(ChunkerEvaluator) Sentence #915 from 00103591 from sent34

Text  : W kilku warstwach bydlęcej skóry , mocno pociemniałej , miejscami przetartej i_ silnie związanej sznurkiem mieściła się ostoja spokoju ,_ nadziei i_ sensu istnienia tego człowieka ._
Tokens: 1 2____ 3________ 4_______ 5____ 6 7____ 8___________ 9 10_______ 11________ 12 13____ 14_______ 15_______ 16______ 17_ 18____ 19_____ 20 21_____ 22 23___ 24_______ 25__ 26_______ 27

Chunks:

(ChunkerEvaluator) Sentence #916 from 00103591 from sent35

Text  : Jedynie ten mały przedmiot , który od zawsze towarzyszył mu w_ podróży i_ na każdym kroku ,_ stanowił dla niego istotę życia i_ wyznaczał kierunek marszu ._
Tokens: 1______ 2__ 3___ 4________ 5 6____ 7_ 8_____ 9__________ 10 11 12_____ 13 14 15____ 16___ 17 18______ 19_ 20___ 21____ 22___ 23 24_______ 25______ 26____ 27

Chunks:

(ChunkerEvaluator) Sentence #917 from 00103591 from sent36

Text  : Starzec w swoich dłoniach trzymał książkę .
Tokens: 1______ 2 3_____ 4_______ 5______ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #918 from 00103591 from sent37

Text  : ‒ Proszę pana , słyszy mnie pan ?
Tokens: 1 2_____ 3___ 4 5_____ 6___ 7__ 8

Chunks:

(ChunkerEvaluator) Sentence #919 from 00103591 from sent38

Text  : – usłyszał em miły , kobiecy głos i poczuł em dłoń na moim ramieniu ._
Tokens: 1 2_______ 3_ 4___ 5 6______ 7___ 8 9_____ 10 11__ 12 13__ 14______ 15

Chunks:

(ChunkerEvaluator) Sentence #920 from 00103591 from sent39

Text  : Otworzył em oczy i bezwiednie kiwnął em głową .
Tokens: 1_______ 2_ 3___ 4 5_________ 6_____ 7_ 8____ 9

Chunks:

(ChunkerEvaluator) Sentence #921 from 00103591 from sent40

Text  : ‒ Proszę zapiąć pas , przygotowujemy się do lądowania
Tokens: 1 2_____ 3_____ 4__ 5 6_____________ 7__ 8_ 9________

Chunks:

(ChunkerEvaluator) Sentence #922 from 00103591 from sent41

Text  : ‒ oznajmiła stewardesa .
Tokens: 1 2________ 3_________ 4

Chunks:

(ChunkerEvaluator) Sentence #923 from 00103591 from sent42

Text  : Spojrzał em przez małe okienko .
Tokens: 1_______ 2_ 3____ 4___ 5______ 6

Chunks:

(ChunkerEvaluator) Sentence #924 from 00103591 from sent43

Text  : Właśnie zataczali śmy koło nad miastem i wyraźnie obniżali śmy pułap ._
Tokens: 1______ 2________ 3__ 4___ 5__ 6______ 7 8_______ 9_______ 10_ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #925 from 00103591 from sent44

Text  : Pospiesznie chwycił em za torbę , która walała się między nogami i_ zajrzał em do środka ._
Tokens: 1__________ 2______ 3_ 4_ 5____ 6 7____ 8_____ 9__ 10____ 11____ 12 13_____ 14 15 16____ 17

Chunks:

(ChunkerEvaluator) Sentence #926 from 00103591 from sent45

Text  : Odetchnął em z ulgą .
Tokens: 1________ 2_ 3 4___ 5

Chunks:

(ChunkerEvaluator) Sentence #927 from 00103591 from sent46

Text  : Leżała tam nadal , nienaruszona , taka sama , gdy wkładał em ją do środka ._
Tokens: 1_____ 2__ 3____ 4 5___________ 6 7___ 8___ 9 10_ 11_____ 12 13 14 15____ 16

Chunks:

(ChunkerEvaluator) Sentence #928 from 00103591 from sent47

Text  : Książka .
Tokens: 1______ 2

Chunks:

(ChunkerEvaluator) Sentence #929 from 00103591 from sent48

Text  : W podniszczonej okładce z dębem .
Tokens: 1 2____________ 3______ 4 5____ 6

Chunks:

2017-06-14 20:16:59,486 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 60 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103629.xml
(ChunkerEvaluator) Sentence #930 from 00103629 from sent1

Text  : Kochanie siebie może na pierwszy rzut oka kojarzyć się z_ egoizmem ,_ narcyzmem ,_ egocentryzmem ._
Tokens: 1_______ 2_____ 3___ 4_ 5_______ 6___ 7__ 8_______ 9__ 10 11______ 12 13_______ 14 15___________ 16

Chunks:

(ChunkerEvaluator) Sentence #931 from 00103629 from sent2

Text  : Wszystko zależy jednak od tego , jak będziemy rozumieli tzw ._ miłość własną ._
Tokens: 1_______ 2_____ 3_____ 4_ 5___ 6 7__ 8_______ 9________ 10_ 11 12____ 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #932 from 00103629 from sent3

Text  : Z punktu widzenia Ewangelii właściwie rozumiana miłość siebie to akceptowanie własnej osoby ,_ troska o_ swoje zdrowie ._
Tokens: 1 2_____ 3_______ 4________ 5________ 6________ 7_____ 8_____ 9_ 10__________ 11_____ 12___ 13 14____ 15 16___ 17_____ 18

Chunks:
  TruePositive nam [4,4] = Ewangelii (confidence=1.00)

(ChunkerEvaluator) Sentence #933 from 00103629 from sent4

Text  : Kochać siebie znaczy też nie szkodzić sobie i nie stać w_ miejscu ,_ ale dążyć do rozwoju cielesno -_ duchowego ._
Tokens: 1_____ 2_____ 3_____ 4__ 5__ 6_______ 7____ 8 9__ 10__ 11 12_____ 13 14_ 15___ 16 17_____ 18______ 19 20_______ 21

Chunks:

(ChunkerEvaluator) Sentence #934 from 00103629 from sent5

Text  : Krótko mówiąc kochać siebie to odłożyć wszelkie nałogi i używki …_ alkohol ,_ narkotyki ,_ papierosy i_ wiele innych nałogów ,_ które niszczą ludzkie życie ._
Tokens: 1_____ 2_____ 3_____ 4_____ 5_ 6______ 7_______ 8_____ 9 10____ 11 12_____ 13 14_______ 15 16_______ 17 18___ 19____ 20_____ 21 22___ 23_____ 24_____ 25___ 26

Chunks:

(ChunkerEvaluator) Sentence #935 from 00103629 from sent6

Text  : Kochać siebie to też dbać o to , aby nie zarywać nocy niekonieczną praca albo zabawami ,_ umiejętnie wykorzystywać czas na odpoczynek i_ zabawę oraz pracę …_
Tokens: 1_____ 2_____ 3_ 4__ 5___ 6 7_ 8 9__ 10_ 11_____ 12__ 13__________ 14___ 15__ 16______ 17 18________ 19___________ 20__ 21 22________ 23 24____ 25__ 26___ 27

Chunks:

(ChunkerEvaluator) Sentence #936 from 00103629 from sent7

Text  : Prawdziwa miłość siebie to także odpowiedzialne myślenie o swojej przyszłości –_ zarówno z_ punktu widzenia jednostki ,_ jak też i_ członka większych społeczności ,_ jakimi są rodzina i_ państwo ._
Tokens: 1________ 2_____ 3_____ 4_ 5____ 6_____________ 7_______ 8 9_____ 10_________ 11 12_____ 13 14____ 15______ 16_______ 17 18_ 19_ 20 21_____ 22_______ 23__________ 24 25____ 26 27_____ 28 29_____ 30

Chunks:

(ChunkerEvaluator) Sentence #937 from 00103629 from sent8

Text  : W tym , jak spełniamy swoje życiowe role łatwo dostrzec ,_ czy mamy właściwy obraz siebie ,_ czy też kierujemy się fałszywą miłością własną …_
Tokens: 1 2__ 3 4__ 5________ 6____ 7______ 8___ 9____ 10______ 11 12_ 13__ 14______ 15___ 16____ 17 18_ 19_ 20_______ 21_ 22______ 23______ 24____ 25

Chunks:

(ChunkerEvaluator) Sentence #938 from 00103629 from sent9

Text  : John Kennedy w dniu obejmowania funkcji Stanów Zjednoczonych powiedział słowa ,_ które znamy chyba wszyscy tu zgromadzeni …_
Tokens: 1___ 2______ 3 4___ 5__________ 6______ 7_____ 8____________ 9_________ 10___ 11 12___ 13___ 14___ 15_____ 16 17_________ 18

Chunks:
  TruePositive nam [1,2] = John Kennedy (confidence=1.00)
  TruePositive nam [7,8] = Stanów Zjednoczonych (confidence=1.00)

(ChunkerEvaluator) Sentence #939 from 00103629 from sent10

Text  : Nie pytaj co Ameryka może zrobić dla ciebie , ale co ty możesz uczynić dla Ameryki ._
Tokens: 1__ 2____ 3_ 4______ 5___ 6_____ 7__ 8_____ 9 10_ 11 12 13____ 14_____ 15_ 16_____ 17

Chunks:
  TruePositive nam [4,4] = Ameryka (confidence=1.00)
  TruePositive nam [16,16] = Ameryki (confidence=1.00)

(ChunkerEvaluator) Sentence #940 from 00103629 from sent11

Text  : Transponując te słowa na naszą dzisiejszą ewangelijną rzeczywistość Bóg zdaje się zadawać każdemu z_ nas podobne pytanie …_
Tokens: 1___________ 2_ 3____ 4_ 5____ 6_________ 7__________ 8____________ 9__ 10___ 11_ 12_____ 13_____ 14 15_ 16_____ 17_____ 18

Chunks:
  TruePositive nam [9,9] = Bóg (confidence=1.00)

(ChunkerEvaluator) Sentence #941 from 00103629 from sent12

Text  : Nie pytaj co Bóg , drugi człowiek może uczynić dla ciebie ale …_ co ty możesz uczynić dla Boga i_ drugiego człowieka …_
Tokens: 1__ 2____ 3_ 4__ 5 6____ 7_______ 8___ 9______ 10_ 11____ 12_ 13 14 15 16____ 17_____ 18_ 19__ 20 21______ 22_______ 23

Chunks:
  TruePositive nam [4,4] = Bóg (confidence=1.00)
  TruePositive nam [19,19] = Boga (confidence=1.00)

(ChunkerEvaluator) Sentence #942 from 00103629 from sent13

Text  : Przeżywamy dzisiaj rozpoczynjący się Tydzień Misyjny .
Tokens: 1_________ 2______ 3____________ 4__ 5______ 6______ 7

Chunks:
  TruePositive nam [5,6] = Tydzień Misyjny (confidence=1.00)

(ChunkerEvaluator) Sentence #943 from 00103629 from sent14

Text  : Patronką misji jest : św . Teresa z Lisieux chociaż nigdy nie była na misjach …_
Tokens: 1_______ 2____ 3___ 4 5_ 6 7_____ 8 9______ 10_____ 11___ 12_ 13__ 14 15_____ 16

Chunks:
  TruePositive nam [7,7] = Teresa (confidence=0.65)
  TruePositive nam [9,9] = Lisieux (confidence=0.86)

(ChunkerEvaluator) Sentence #944 from 00103629 from sent15

Text  : Niech Jej postawa i słowa będą dla nas dzisiaj wzorem ._
Tokens: 1____ 2__ 3______ 4 5____ 6___ 7__ 8__ 9______ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #945 from 00103629 from sent16

Text  : Św . Teresa gorąco modliła się za misje i misjonarzy ._
Tokens: 1_ 2 3_____ 4_____ 5______ 6__ 7_ 8____ 9 10________ 11

Chunks:
  TruePositive nam [3,3] = Teresa (confidence=0.92)

(ChunkerEvaluator) Sentence #946 from 00103629 from sent17

Text  : Z jednym z nich nawet utrzymywała kontakt korespondencyjny zapewniając go o_ wsparciu modlitewnym ._
Tokens: 1 2_____ 3 4___ 5____ 6__________ 7______ 8_______________ 9__________ 10 11 12______ 13_________ 14

Chunks:

(ChunkerEvaluator) Sentence #947 from 00103629 from sent18

Text  : Mała Tereska bo tak nazwano św . Teresę z Lisieux powiedziała :_ "_ Zrozumiała m_ ,_ że Kościół posiada Serce i_ że to Serce płonie miłością ,_ że jedynie Miłość pobudza członki Kościoła do działania i_ gdyby przypadkiem zabrakło Miłości ,_ Apostołowie przestali by głosić Ewangelię ,_ Męczennicy nie chcieli by przelewać krwi swojej ._ ._ ._
Tokens: 1___ 2______ 3_ 4__ 5______ 6_ 7 8_____ 9 10_____ 11_________ 12 13 14________ 15 16 17 18_____ 19_____ 20___ 21 22 23 24___ 25____ 26______ 27 28 29_____ 30____ 31_____ 32_____ 33______ 34 35_______ 36 37___ 38_________ 39______ 40_____ 41 42_________ 43_______ 44 45____ 46_______ 47 48________ 49_ 50_____ 51 52_______ 53__ 54____ 55 56 57

Chunks:
  TruePositive nam [2,2] = Tereska (confidence=0.55)
  TruePositive nam [10,10] = Lisieux (confidence=0.93)
  TruePositive nam [18,18] = Kościół (confidence=0.99)
  TruePositive nam [33,33] = Kościoła (confidence=0.98)
  TruePositive nam [46,46] = Ewangelię (confidence=0.79)
  FalsePositive nam [6,8] = św . Teresę (confidence=0.99) (incorrect boundry)
  FalsePositive nam [20,20] = Serce (confidence=0.94) (incorrect boundry)
  FalsePositive nam [24,24] = Serce (confidence=0.91) (incorrect boundry)
  FalsePositive nam [30,30] = Miłość (confidence=0.68) (incorrect boundry)
  FalsePositive nam [48,48] = Męczennicy (confidence=0.99) (incorrect boundry)
  FalseNegative nam [8,8] = Teresę
  FalseNegative nam [42,42] = Apostołowie

(ChunkerEvaluator) Sentence #948 from 00103629 from sent19

Text  : Zrozumiała m , że miłość zamyka w sobie wszystkie powołania ,_ że miłość jest wszystkim ,_ obejmuje wszystkie czasy i_ wszystkie miejsca ._ ._ ._
Tokens: 1_________ 2 3 4_ 5_____ 6_____ 7 8____ 9________ 10_______ 11 12 13____ 14__ 15_______ 16 17______ 18_______ 19___ 20 21_______ 22_____ 23 24 25

Chunks:

(ChunkerEvaluator) Sentence #949 from 00103629 from sent20

Text  : jednym słowem - jest Wieczna !
Tokens: 1_____ 2_____ 3 4___ 5______ 6

Chunks:
  FalsePositive nam [5,5] = Wieczna (confidence=0.79) (incorrect boundry)

2017-06-14 20:16:59,590 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 61 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103686.xml
(ChunkerEvaluator) Sentence #950 from 00103686 from sent1

Text  : Aleksandra Zieleniewska pełniła także wiele innych funkcji , między innymi w_ latach 2002 -_ 2006 była członkiem Rady Nadzorczej BROKER FM S_ ._ A_ ._ ,_ kontynuowała także działalność operacyjną w_ KFKS ._
Tokens: 1_________ 2___________ 3______ 4____ 5____ 6_____ 7______ 8 9_____ 10____ 11 12____ 13__ 14 15__ 16__ 17_______ 18__ 19________ 20____ 21 22 23 24 25 26 27__________ 28___ 29_________ 30________ 31 32__ 33

Chunks:
  TruePositive nam [1,2] = Aleksandra Zieleniewska (confidence=1.00)
  TruePositive nam [18,25] = Rady Nadzorczej BROKER FM S . A . (confidence=1.00)
  TruePositive nam [32,32] = KFKS (confidence=0.98)

(ChunkerEvaluator) Sentence #951 from 00103686 from sent2

Text  : Obecnie Aleksandra Zieleniewska kontynuuje swoją działalność w ramach Fundacji Nowe Media ._
Tokens: 1______ 2_________ 3___________ 4_________ 5____ 6__________ 7 8_____ 9_______ 10__ 11___ 12

Chunks:
  TruePositive nam [2,3] = Aleksandra Zieleniewska (confidence=1.00)
  TruePositive nam [9,11] = Fundacji Nowe Media (confidence=1.00)

(ChunkerEvaluator) Sentence #952 from 00103686 from sent3

Text  : Jako Przewodnicząca Rady tej Fundacji wspiera aktywnie projekt Młodzieżowej Akcji Multimedialnej propagującej i_ rozwijającej samodzielne i_ oparte na świadomym wyborze kreowanie mediów przez młodych ludzi ._
Tokens: 1___ 2_____________ 3___ 4__ 5_______ 6______ 7_______ 8______ 9___________ 10___ 11____________ 12__________ 13 14__________ 15_________ 16 17____ 18 19_______ 20_____ 21_______ 22____ 23___ 24_____ 25___ 26

Chunks:
  TruePositive nam [9,11] = Młodzieżowej Akcji Multimedialnej (confidence=1.00)
  FalsePositive nam [2,5] = Przewodnicząca Rady tej Fundacji (confidence=0.93) (incorrect boundry)
  FalseNegative nam [2,3] = Przewodnicząca Rady
  FalseNegative nam [5,5] = Fundacji

(ChunkerEvaluator) Sentence #953 from 00103686 from sent4

Text  : Ponadto jest Przewodniczącą Rady Fundacji Centrum Stosunków Międzynarodowych , dalej też działa w_ KFKS ._
Tokens: 1______ 2___ 3_____________ 4___ 5_______ 6______ 7________ 8_______________ 9 10___ 11_ 12____ 13 14__ 15

Chunks:
  TruePositive nam [14,14] = KFKS (confidence=0.98)
  FalsePositive nam [3,8] = Przewodniczącą Rady Fundacji Centrum Stosunków Międzynarodowych (confidence=0.99) (incorrect boundry)
  FalseNegative nam [3,4] = Przewodniczącą Rady
  FalseNegative nam [5,8] = Fundacji Centrum Stosunków Międzynarodowych

(ChunkerEvaluator) Sentence #954 from 00103686 from sent5

Text  : Robert Kozak
Tokens: 1_____ 2____

Chunks:
  TruePositive nam [1,2] = Robert Kozak (confidence=1.00)

(ChunkerEvaluator) Sentence #955 from 00103686 from sent6

Text  : Członek Rady
Tokens: 1______ 2___

Chunks:
  FalsePositive nam [1,2] = Członek Rady (confidence=0.76) (incorrect boundry)

(ChunkerEvaluator) Sentence #956 from 00103686 from sent7

Text  : Jest człowiekiem o wielu doświadczeniach i dużej wszechstronności .
Tokens: 1___ 2__________ 3 4____ 5______________ 6 7____ 8_______________ 9

Chunks:

(ChunkerEvaluator) Sentence #957 from 00103686 from sent8

Text  : Karierę zawodową zaczynał jako naukowiec na Wydziale Chemii UW ,_ ale porzucił pracę naukową bo chciał pracować z_ ludźmi ._
Tokens: 1______ 2_______ 3_______ 4___ 5________ 6_ 7_______ 8_____ 9_ 10 11_ 12______ 13___ 14_____ 15 16____ 17______ 18 19____ 20

Chunks:
  FalsePositive nam [7,9] = Wydziale Chemii UW (confidence=0.97) (incorrect boundry)
  FalseNegative nam [9,9] = UW

(ChunkerEvaluator) Sentence #958 from 00103686 from sent9

Text  : Większość życia zawodowego spędził w mediach jako dziennikarz i menadżer ._
Tokens: 1________ 2____ 3_________ 4______ 5 6______ 7___ 8__________ 9 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #959 from 00103686 from sent10

Text  : Był współwłaścicielem i członkiem zarządu Agencji Informacyjnej SIS .
Tokens: 1__ 2________________ 3 4________ 5______ 6______ 7____________ 8__ 9

Chunks:
  TruePositive nam [6,8] = Agencji Informacyjnej SIS (confidence=0.87)

(ChunkerEvaluator) Sentence #960 from 00103686 from sent11

Text  : Jako reporter relacjonował obrady Okrągłego Stołu dla zachodnich mediów ._
Tokens: 1___ 2_______ 3___________ 4_____ 5________ 6____ 7__ 8_________ 9_____ 10

Chunks:
  TruePositive nam [5,6] = Okrągłego Stołu (confidence=0.49)

(ChunkerEvaluator) Sentence #961 from 00103686 from sent12

Text  : 15 lat spędził w BBC , gdzie zaczynał jako korespondent ,_ a_ potem stworzył i_ prowadził oddział BBC w_ Polsce ._
Tokens: 1_ 2__ 3______ 4 5__ 6 7____ 8_______ 9___ 10__________ 11 12 13___ 14______ 15 16_______ 17_____ 18_ 19 20____ 21

Chunks:
  TruePositive nam [5,5] = BBC (confidence=1.00)
  TruePositive nam [18,18] = BBC (confidence=1.00)
  TruePositive nam [20,20] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #962 from 00103686 from sent13

Text  : Uczestniczył w powstaniu Radia TOK FM .
Tokens: 1___________ 2 3________ 4____ 5__ 6_ 7

Chunks:
  TruePositive nam [4,6] = Radia TOK FM (confidence=0.94)

(ChunkerEvaluator) Sentence #963 from 00103686 from sent14

Text  : Wychował całe pokolenie dziennikarzy , z których wielu dzisiaj pełni funkcje menadżerskie w_ mediach ._
Tokens: 1_______ 2___ 3________ 4___________ 5 6 7______ 8____ 9______ 10___ 11_____ 12__________ 13 14_____ 15

Chunks:

(ChunkerEvaluator) Sentence #964 from 00103686 from sent15

Text  : Pracował w TVP , gdzie kierował największym w Polsce program informacyjnym jakim są "_ Wiadomości "_ ._
Tokens: 1_______ 2 3__ 4 5____ 6_______ 7__________ 8 9_____ 10_____ 11___________ 12___ 13 14 15________ 16 17

Chunks:
  TruePositive nam [3,3] = TVP (confidence=1.00)
  TruePositive nam [9,9] = Polsce (confidence=1.00)
  FalseNegative nam [15,15] = Wiadomości

(ChunkerEvaluator) Sentence #965 from 00103686 from sent16

Text  : Kierował też " Teleexpressem " i był przewodniczącym komisji ds ._ standardów dziennikarskich w_ TVP ._
Tokens: 1_______ 2__ 3 4____________ 5 6 7__ 8______________ 9______ 10 11 12________ 13_____________ 14 15_ 16

Chunks:
  TruePositive nam [15,15] = TVP (confidence=1.00)
  FalseNegative nam [4,4] = Teleexpressem

(ChunkerEvaluator) Sentence #966 from 00103686 from sent17

Text  : Od kilku lat jest wykładowcą w Państwowej Wyższej Szkole Filmowej ,_ Telewizyjnej i_ Teatralnej w_ Łodzi na kierunku Dziennikarstwo ._
Tokens: 1_ 2____ 3__ 4___ 5_________ 6 7_________ 8______ 9_____ 10______ 11 12__________ 13 14________ 15 16___ 17 18______ 19____________ 20

Chunks:
  TruePositive nam [16,16] = Łodzi (confidence=0.92)
  FalsePositive nam [7,10] = Państwowej Wyższej Szkole Filmowej (confidence=0.60) (incorrect boundry)
  FalsePositive nam [12,12] = Telewizyjnej (confidence=0.96) (incorrect boundry)
  FalsePositive nam [14,14] = Teatralnej (confidence=0.59) (incorrect boundry)
  FalsePositive nam [19,19] = Dziennikarstwo (confidence=0.97) (incorrect boundry)
  FalseNegative nam [7,14] = Państwowej Wyższej Szkole Filmowej , Telewizyjnej i Teatralnej

(ChunkerEvaluator) Sentence #967 from 00103686 from sent18

Text  : Prowadzi też szkolenia dla dziennikarzy i menadżerów zarządzających mediami ._
Tokens: 1_______ 2__ 3________ 4__ 5___________ 6 7_________ 8_____________ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #968 from 00103686 from sent19

Text  : Zajmuje się coachingiem i doradza wysokiej kadrze menadżerskiej z zakresu skutecznego przywództwa ,_ komunikacji ,_ zarządzania zmianą i_ tworzenia strategii ._
Tokens: 1______ 2__ 3__________ 4 5______ 6_______ 7_____ 8____________ 9 10_____ 11_________ 12_________ 13 14_________ 15 16_________ 17____ 18 19_______ 20_______ 21

Chunks:

(ChunkerEvaluator) Sentence #969 from 00103686 from sent20

Text  : Pełnił funkcję Executive Director w jednej ze światowych firm headhunterskich tzw ._ Wielkiej Piątki ,_ gdzie rozwijał praktykę FMCG i_ poszukiwał członków zarządów dla międzynarodowych firm działających na rynku Europy Środkowej i_ Wschodniej ._
Tokens: 1_____ 2______ 3________ 4_______ 5 6_____ 7_ 8_________ 9___ 10_____________ 11_ 12 13______ 14____ 15 16___ 17______ 18______ 19__ 20 21________ 22______ 23______ 24_ 25______________ 26__ 27__________ 28 29___ 30____ 31_______ 32 33________ 34

Chunks:
  TruePositive nam [19,19] = FMCG (confidence=1.00)
  TruePositive nam [30,31] = Europy Środkowej (confidence=1.00)
  TruePositive nam [33,33] = Wschodniej (confidence=0.89)
  FalsePositive nam [3,4] = Executive Director (confidence=1.00) (incorrect boundry)
  FalsePositive nam [13,14] = Wielkiej Piątki (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #970 from 00103686 from sent21

Text  : Jest Prezesem Zarządu oraz Partnerem w Brian Tracy International ,_ odpowiada za strategię i_ rozwój firmy oraz programy z_ zakresu leadership i_ coachingu ._
Tokens: 1___ 2_______ 3______ 4___ 5________ 6 7____ 8____ 9____________ 10 11_______ 12 13_______ 14 15____ 16___ 17__ 18______ 19 20_____ 21________ 22 23_______ 24

Chunks:
  TruePositive nam [7,9] = Brian Tracy International (confidence=1.00)
  FalsePositive nam [2,3] = Prezesem Zarządu (confidence=0.95) (incorrect boundry)

2017-06-14 20:16:59,681 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 62 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103725.xml
(ChunkerEvaluator) Sentence #971 from 00103725 from sent1

Text  : Co czujesz ?
Tokens: 1_ 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #972 from 00103725 from sent2

Text  : Przepraszam za długą nieobecność - święta mnie rozleniwiły , a_ potem przywaliła mnie cała lawina obowiązków ._
Tokens: 1__________ 2_ 3____ 4__________ 5 6_____ 7___ 8__________ 9 10 11___ 12________ 13__ 14__ 15____ 16________ 17

Chunks:

(ChunkerEvaluator) Sentence #973 from 00103725 from sent3

Text  : Na dobry początek mojej blogowej reaktywacji proponuję psychozabawę : obejrzyj ten klip przedstawiający humanoidalnego ,_ sympatycznego robocika ,_ i_ powiedz co czujesz ._
Tokens: 1_ 2____ 3_______ 4____ 5_______ 6__________ 7________ 8___________ 9 10______ 11_ 12__ 13_____________ 14____________ 15 16___________ 17______ 18 19 20_____ 21 22_____ 23

Chunks:

(ChunkerEvaluator) Sentence #974 from 00103725 from sent4

Text  : To oczywiście w nawiązaniu do mojego poprzedniego postu
Tokens: 1_ 2_________ 3 4_________ 5_ 6_____ 7___________ 8____

Chunks:

2017-06-14 20:16:59,695 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 63 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103744.xml
(ChunkerEvaluator) Sentence #975 from 00103744 from sent1

Text  : AMATORSKIE PŁYWACKIE MISTRZOSTWA OZORKOWA
Tokens: 1_________ 2________ 3__________ 4_______

Chunks:
  FalsePositive nam [3,4] = MISTRZOSTWA OZORKOWA (confidence=0.49) (incorrect boundry)
  FalseNegative nam [1,4] = AMATORSKIE PŁYWACKIE MISTRZOSTWA OZORKOWA

(ChunkerEvaluator) Sentence #976 from 00103744 from sent2

Text  : Kolejne organizowane przez Młodzieżowy Dom Kultury im . Małego Księcia Amatorskie Pływackie Mistrzostwa Ozorkowa Młodzieży Szkolnej ._
Tokens: 1______ 2___________ 3____ 4__________ 5__ 6______ 7_ 8 9_____ 10_____ 11________ 12_______ 13_________ 14______ 15_______ 16______ 17

Chunks:
  FalsePositive nam [4,16] = Młodzieżowy Dom Kultury im . Małego Księcia Amatorskie Pływackie Mistrzostwa Ozorkowa Młodzieży Szkolnej (confidence=1.00) (incorrect boundry)
  FalseNegative nam [4,10] = Młodzieżowy Dom Kultury im . Małego Księcia
  FalseNegative nam [11,16] = Amatorskie Pływackie Mistrzostwa Ozorkowa Młodzieży Szkolnej

(ChunkerEvaluator) Sentence #977 from 00103744 from sent3

Text  : Impreza odbędzie się na basenie WODNIK o 9 : 00
Tokens: 1______ 2_______ 3__ 4_ 5______ 6_____ 7 8 9 10

Chunks:
  TruePositive nam [6,6] = WODNIK (confidence=1.00)

2017-06-14 20:16:59,705 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 64 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103911.xml
(ChunkerEvaluator) Sentence #978 from 00103911 from sent1

Text  : Kolumbia , obok kawy , kojarzy się przeciętnemu turyście ze szmaragdami ,_ zwanymi tutaj '_ esmeraldas' ._
Tokens: 1_______ 2 3___ 4___ 5 6______ 7__ 8___________ 9_______ 10 11_________ 12 13_____ 14___ 15 16_________ 17

Chunks:
  TruePositive nam [1,1] = Kolumbia (confidence=0.87)

(ChunkerEvaluator) Sentence #979 from 00103911 from sent2

Text  : Ostrozielone i przykłuwające wzrok kamienie ( silicato berilio aluminico )_ ,_ są towarem bardzo pożądanym na świecie ,_ a_ miejsc ich wydobycia jest niewiele ._
Tokens: 1___________ 2 3____________ 4____ 5_______ 6 7_______ 8______ 9________ 10 11 12 13_____ 14____ 15_______ 16 17_____ 18 19 20____ 21_ 22_______ 23__ 24______ 25

Chunks:
  FalsePositive nam [1,1] = Ostrozielone (confidence=0.80) (incorrect boundry)

(ChunkerEvaluator) Sentence #980 from 00103911 from sent3

Text  : W Kolumbii spotkamy najdroższe i najszlachetniejsze ze szmaragdów , wartościowsze niż te spotykane w_ Brazylii i_ Zambii ._
Tokens: 1 2_______ 3_______ 4_________ 5 6_________________ 7_ 8_________ 9 10___________ 11_ 12 13_______ 14 15______ 16 17____ 18

Chunks:
  TruePositive nam [2,2] = Kolumbii (confidence=1.00)
  TruePositive nam [15,15] = Brazylii (confidence=1.00)
  TruePositive nam [17,17] = Zambii (confidence=1.00)

(ChunkerEvaluator) Sentence #981 from 00103911 from sent4

Text  : Największe kopalnie tego kruszcu znajdują się na północy i na północnym wschodzie Bogoty i_ zwane są kopalniami :_ Chivor i_ Muzo ._
Tokens: 1_________ 2_______ 3___ 4______ 5_______ 6__ 7_ 8______ 9 10 11_______ 12_______ 13____ 14 15___ 16 17________ 18 19____ 20 21__ 22

Chunks:
  TruePositive nam [13,13] = Bogoty (confidence=1.00)
  TruePositive nam [19,19] = Chivor (confidence=0.80)
  TruePositive nam [21,21] = Muzo (confidence=0.89)

(ChunkerEvaluator) Sentence #982 from 00103911 from sent5

Text  : Jakość „ esmeraldy ” zależy od jej koloru ( im bardziej zielony ,_ bez odcienia niebieskiego ,_ ani żółtego ,_ tym cenniejszy )_ i_ błysku ._
Tokens: 1_____ 2 3________ 4 5_____ 6_ 7__ 8_____ 9 10 11______ 12_____ 13 14_ 15______ 16__________ 17 18_ 19_____ 20 21_ 22________ 23 24 25____ 26

Chunks:

(ChunkerEvaluator) Sentence #983 from 00103911 from sent6

Text  : Znam w Bogocie takie miejsce , plac w pobliżu „_ Muzeum Złota ”_ ,_ na którym codziennie gromadzą się sprzedawcy szmaragdów ._
Tokens: 1___ 2 3______ 4____ 5______ 6 7___ 8 9______ 10 11____ 12___ 13 14 15 16____ 17________ 18______ 19_ 20________ 21________ 22

Chunks:
  TruePositive nam [3,3] = Bogocie (confidence=1.00)
  TruePositive nam [11,12] = Muzeum Złota (confidence=1.00)

(ChunkerEvaluator) Sentence #984 from 00103911 from sent7

Text  : Ich znakiem rozpoznawczym są czarne skórzane kurtki i jeansowe spodnie ._
Tokens: 1__ 2______ 3____________ 4_ 5_____ 6_______ 7_____ 8 9_______ 10_____ 11

Chunks:

(ChunkerEvaluator) Sentence #985 from 00103911 from sent8

Text  : Niby rozmawiają ( cały dzień ) , plotkują , ale naprawdę ,_ obserwując ich z_ bliska ,_ w_ ciągu kilku minut wytrawne oko zauważy ,_ że z_ kieszeni wyjmują białe koperty ,_ w_ których zawinięte są kamienie ._
Tokens: 1___ 2_________ 3 4___ 5____ 6 7 8_______ 9 10_ 11______ 12 13________ 14_ 15 16____ 17 18 19___ 20___ 21___ 22______ 23_ 24_____ 25 26 27 28______ 29_____ 30___ 31_____ 32 33 34_____ 35_______ 36 37______ 38

Chunks:

(ChunkerEvaluator) Sentence #986 from 00103911 from sent9

Text  : Tak właśnie wygląda prawdziwy , latynoski , czarny rynek ._
Tokens: 1__ 2______ 3______ 4________ 5 6________ 7 8_____ 9____ 10

Chunks:

2017-06-14 20:16:59,753 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 65 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103930.xml
(ChunkerEvaluator) Sentence #987 from 00103930 from sent1

Text  : Represje po powstaniu 1956 roku na długo złamały ducha oporu u_ Węgrów ._
Tokens: 1_______ 2_ 3________ 4___ 5___ 6_ 7____ 8______ 9____ 10___ 11 12____ 13

Chunks:
  TruePositive nam [12,12] = Węgrów (confidence=1.00)

(ChunkerEvaluator) Sentence #988 from 00103930 from sent2

Text  : Niemal do końca socjalizmu będzie panował spokój społeczny .
Tokens: 1_____ 2_ 3____ 4_________ 5_____ 6______ 7_____ 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #989 from 00103930 from sent3

Text  : Wypadki poznańskie tego samego roku były dużo bardziej ograniczone i_ mniej krwawe ._
Tokens: 1______ 2_________ 3___ 4_____ 5___ 6___ 7___ 8_______ 9__________ 10 11___ 12____ 13

Chunks:

(ChunkerEvaluator) Sentence #990 from 00103930 from sent4

Text  : Ich stłumienie nie zapobiegło kolejnym wybuchom włącznie z największym z_ nich w_ 1980 roku ._
Tokens: 1__ 2_________ 3__ 4_________ 5_______ 6_______ 7_______ 8 9__________ 10 11__ 12 13__ 14__ 15

Chunks:

(ChunkerEvaluator) Sentence #991 from 00103930 from sent5

Text  : Ruch dysydencki rodzi się w obu krajach w podobnym czasie ale tylko w_ Polsce nabiera znaczenia poza wąskimi kręgami inteligencji ._
Tokens: 1___ 2_________ 3____ 4__ 5 6__ 7______ 8 9_______ 10____ 11_ 12___ 13 14____ 15_____ 16_______ 17__ 18_____ 19_____ 20__________ 21

Chunks:
  TruePositive nam [14,14] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #992 from 00103930 from sent6

Text  : Swoją drogą nawego słowo " dysydent " ma różne znaczenie :_ w_ Polsce oznacza osobę sprzeciwiającą się władzy komunistów ,_ często z_ moralnych pobudek ,_ podczas gdy na Węgrzech ,_ gdzie występuje w_ postaci czasownika "_ disszidálni "_ oznacza po prostu ucieczkę na zachód ._
Tokens: 1____ 2____ 3_____ 4____ 5 6_______ 7 8_ 9____ 10_______ 11 12 13____ 14_____ 15___ 16____________ 17_ 18____ 19________ 20 21____ 22 23_______ 24_____ 25 26_____ 27_ 28 29______ 30 31___ 32_______ 33 34_____ 35________ 36 37_________ 38 39_____ 40 41____ 42______ 43 44____ 45

Chunks:
  TruePositive nam [13,13] = Polsce (confidence=1.00)
  TruePositive nam [29,29] = Węgrzech (confidence=1.00)

(ChunkerEvaluator) Sentence #993 from 00103930 from sent7

Text  : Powstała w międzyczasie Solidarność i cały okres karnawału znów nie ma odpowiednika na Węgrzech ,_ podobnie jak i_ skala działania podziemia ,_ a_ zwłaszcza prasy i_ ruchu wydawniczego ._
Tokens: 1_______ 2 3___________ 4__________ 5 6___ 7____ 8________ 9___ 10_ 11 12__________ 13 14______ 15 16______ 17_ 18 19___ 20_______ 21_______ 22 23 24_______ 25___ 26 27___ 28__________ 29

Chunks:
  TruePositive nam [14,14] = Węgrzech (confidence=1.00)
  FalseNegative nam [4,4] = Solidarność

(ChunkerEvaluator) Sentence #994 from 00103930 from sent8

Text  : W tym czasie ( oficjalna ) prasa węgierska rozpisuje się na temat lenistwa Polaków ,_ którym się nie chce pracować ,_ sporo ludzi to kupuje ._
Tokens: 1 2__ 3_____ 4 5________ 6 7____ 8________ 9________ 10_ 11 12___ 13______ 14_____ 15 16____ 17_ 18_ 19__ 20______ 21 22___ 23___ 24 25____ 26

Chunks:
  FalsePositive nam [14,14] = Polaków (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #995 from 00103930 from sent9

Text  : Podczas gdy Polsce okres niedoborów właściwie trwa bez końca ,_ sklepy są coraz pustsze ,_ zakupy robi się na kartki a_ kolejki są codziennością Węgry przeżywają okres dobrobytu ,_ o_ którym Polacy mogą tylko pomarzyć ._
Tokens: 1______ 2__ 3_____ 4____ 5_________ 6________ 7___ 8__ 9____ 10 11____ 12 13___ 14_____ 15 16____ 17__ 18_ 19 20____ 21 22_____ 23 24___________ 25___ 26________ 27___ 28_______ 29 30 31____ 32____ 33__ 34___ 35______ 36

Chunks:
  TruePositive nam [3,3] = Polsce (confidence=0.98)
  TruePositive nam [25,25] = Węgry (confidence=1.00)
  TruePositive nam [32,32] = Polacy (confidence=0.99)

(ChunkerEvaluator) Sentence #996 from 00103930 from sent10

Text  : Kupić można tu wszystko , można też zarobić a forint jest na tyle mocny (_ na czarnym rynku )_ ,_ że Węgrzy są w_ innych krajach bloku bogaczami ._
Tokens: 1____ 2____ 3_ 4_______ 5 6____ 7__ 8______ 9 10____ 11__ 12 13__ 14___ 15 16 17_____ 18___ 19 20 21 22____ 23 24 25____ 26_____ 27___ 28_______ 29

Chunks:
  TruePositive nam [22,22] = Węgrzy (confidence=1.00)

(ChunkerEvaluator) Sentence #997 from 00103930 from sent11

Text  : Rodzi to wśród Węgrów dumę z tych osiągnięć .
Tokens: 1____ 2_ 3____ 4_____ 5___ 6 7___ 8________ 9

Chunks:
  TruePositive nam [4,4] = Węgrów (confidence=0.99)

(ChunkerEvaluator) Sentence #998 from 00103930 from sent12

Text  : Kościół odgrywa różną rolę w obu krajach .
Tokens: 1______ 2______ 3____ 4___ 5 6__ 7______ 8

Chunks:
  FalseNegative nam [1,1] = Kościół

(ChunkerEvaluator) Sentence #999 from 00103930 from sent13

Text  : W Polsce wiadomo - jedna z najważniejszych niezależnych od państwa instytucji ,_ często wspierająca opozycję ._
Tokens: 1 2_____ 3______ 4 5____ 6 7______________ 8___________ 9_ 10_____ 11________ 12 13____ 14_________ 15______ 16

Chunks:
  TruePositive nam [2,2] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #1000 from 00103930 from sent14

Text  : Wybór i działalność papieża daje społeczeństwu wielki zastrzyk energii i_ optymizmu ._
Tokens: 1____ 2 3__________ 4______ 5___ 6____________ 7_____ 8_______ 9______ 10 11_______ 12

Chunks:

(ChunkerEvaluator) Sentence #1001 from 00103930 from sent15

Text  : Na Węgrzech tego wszystkiego brak .
Tokens: 1_ 2_______ 3___ 4__________ 5___ 6

Chunks:
  TruePositive nam [2,2] = Węgrzech (confidence=0.91)

(ChunkerEvaluator) Sentence #1002 from 00103930 from sent16

Text  : Kościoły , bo tu trzeba raczej używać liczby mnogiej ze względu na ważną pozycję kościołów protestanckich ,_ spacyfikowano dalece brutalniej niż w_ Polsce ,_ ich rola społeczna jest potem znikoma ._
Tokens: 1_______ 2 3_ 4_ 5_____ 6_____ 7_____ 8_____ 9______ 10 11_____ 12 13___ 14_____ 15_______ 16____________ 17 18___________ 19____ 20________ 21_ 22 23____ 24 25_ 26__ 27_______ 28__ 29___ 30_____ 31

Chunks:
  TruePositive nam [23,23] = Polsce (confidence=1.00)
  FalseNegative nam [1,1] = Kościoły
  FalseNegative nam [15,15] = kościołów

(ChunkerEvaluator) Sentence #1003 from 00103930 from sent17

Text  : Serwilizm przywódców kościelnych , wśród których wielu współpracowało z tutejszą ubecją ,_ jest zdumiewający ._
Tokens: 1________ 2_________ 3__________ 4 5____ 6______ 7____ 8_____________ 9 10______ 11____ 12 13__ 14__________ 15

Chunks:

(ChunkerEvaluator) Sentence #1004 from 00103930 from sent18

Text  : Przejawiających skłonności opozycyjne księży szykanują wspólnie ze służbami .
Tokens: 1______________ 2_________ 3_________ 4_____ 5________ 6_______ 7_ 8_______ 9

Chunks:

2017-06-14 20:16:59,843 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 66 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103950.xml
(ChunkerEvaluator) Sentence #1005 from 00103950 from sent1

Text  : Drugim tekstem , w którym raport „ Obiegi kultury ”_ zostaje poddany krytyce ,_ jest felieton Wojciecha Orlińskiego ._
Tokens: 1_____ 2______ 3 4 5_____ 6_____ 7 8_____ 9______ 10 11_____ 12_____ 13_____ 14 15__ 16______ 17_______ 18_________ 19

Chunks:
  TruePositive nam [8,9] = Obiegi kultury (confidence=0.50)
  TruePositive nam [17,18] = Wojciecha Orlińskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #1006 from 00103950 from sent2

Text  : Orliński zwraca uwagę na trzy kwestie : wiarygodność danych zebranych podczas wywiadów ,_ definicję obiegu nieformalnego ,_ oraz nieuwzględnienie w_ raporcie gier ._
Tokens: 1_______ 2_____ 3____ 4_ 5___ 6______ 7 8___________ 9_____ 10_______ 11_____ 12______ 13 14_______ 15____ 16___________ 17 18__ 19______________ 20 21______ 22__ 23

Chunks:
  TruePositive nam [1,1] = Orliński (confidence=0.95)

(ChunkerEvaluator) Sentence #1007 from 00103950 from sent3

Text  : Z pierwszym zarzutem trudno polemizować – w pewnym sensie najprostszym wytłumaczeniem jest cytat z_ Orlińskiego ,_ który pisze o_ tym ,_ „_ co humaniści nazywają >_ >_ badaniami <_ <_ „_ ._
Tokens: 1 2________ 3_______ 4_____ 5__________ 6 7 8_____ 9_____ 10__________ 11____________ 12__ 13___ 14 15_________ 16 17___ 18___ 19 20_ 21 22 23 24_______ 25______ 26 27 28_______ 29 30 31 32

Chunks:
  TruePositive nam [15,15] = Orlińskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #1008 from 00103950 from sent4

Text  : O ograniczeniach narzędzi badawczych piszemy sporo w samym raporcie ,_ podobnie jak piszemy o_ problemach z_ ilościowym badaniem tego ,_ co nieformalne ._
Tokens: 1 2_____________ 3_______ 4_________ 5______ 6____ 7 8____ 9_______ 10 11______ 12_ 13_____ 14 15________ 16 17________ 18______ 19__ 20 21 22_________ 23

Chunks:

(ChunkerEvaluator) Sentence #1009 from 00103950 from sent5

Text  : Jeśli chodzi o kwestię definicji obiegu nieformalnego , to w_ raporcie podkreślamy ,_ że część analizowanych kanałów to w_ istocie kanały hybrydowe ._
Tokens: 1____ 2_____ 3 4______ 5________ 6_____ 7____________ 8 9_ 10 11______ 12_________ 13 14 15___ 16___________ 17_____ 18 19 20_____ 21____ 22_______ 23

Chunks:

(ChunkerEvaluator) Sentence #1010 from 00103950 from sent6

Text  : Być może część osób , które deklarowały pobieranie darmowych treści ściągały darmowe wersje oficjalnych treści ,_ albo teksty z_ domeny publicznej ._
Tokens: 1__ 2___ 3____ 4___ 5 6____ 7__________ 8_________ 9________ 10____ 11______ 12_____ 13____ 14_________ 15____ 16 17__ 18____ 19 20____ 21________ 22

Chunks:

(ChunkerEvaluator) Sentence #1011 from 00103950 from sent7

Text  : Być może też część osób , które odpowiadały na pytania nie tylko o_ „_ darmowość ”_ ,_ ale też np ._ o_ korzystanie z_ sieci peer -_ to -_ peer czy serwisów takich jak chomikuj.pl ,_ pobiera z_ nich książki znajdujące się w_ domenie publicznej ._
Tokens: 1__ 2___ 3__ 4____ 5___ 6 7____ 8__________ 9_ 10_____ 11_ 12___ 13 14 15_______ 16 17 18_ 19_ 20 21 22 23_________ 24 25___ 26__ 27 28 29 30__ 31_ 32______ 33____ 34_ 35_________ 36 37_____ 38 39__ 40_____ 41________ 42_ 43 44_____ 45________ 46

Chunks:

(ChunkerEvaluator) Sentence #1012 from 00103950 from sent8

Text  : A odpowiadając pozytywnie na pytania o posiadanie „ nieoryginalnych płyt ”_ czy „_ nieoryginalnych nagrań na komputerze ”_ ,_ miała na myśli kopie z_ filmu z_ rodzinnej imprezy ,_ zmontowanego w_ profesjonalnej firmie ,_ wydanego na płycie z_ nadrukiem i_ zapakowanego w_ piękne pudełko ._
Tokens: 1 2___________ 3_________ 4_ 5______ 6 7_________ 8 9______________ 10__ 11 12_ 13 14_____________ 15____ 16 17________ 18 19 20___ 21 22___ 23___ 24 25___ 26 27_______ 28_____ 29 30__________ 31 32____________ 33____ 34 35______ 36 37____ 38 39_______ 40 41__________ 42 43____ 44_____ 45

Chunks:

(ChunkerEvaluator) Sentence #1013 from 00103950 from sent9

Text  : Tego w pełni wykluczyć nie można – ale mamy też świadomość ,_ że trudno te ograniczenia pokonać ._
Tokens: 1___ 2 3____ 4________ 5__ 6____ 7 8__ 9___ 10_ 11________ 12 13 14____ 15 16__________ 17_____ 18

Chunks:

(ChunkerEvaluator) Sentence #1014 from 00103950 from sent10

Text  : Postulowane przez Orlińskiego odpytywanie z tego , jakie treści pobierają ankietowani ,_ prowadzi nas do badań etnograficznych –_ które zresztą już przygotowujemy ._
Tokens: 1__________ 2____ 3__________ 4__________ 5 6___ 7 8____ 9_____ 10_______ 11_________ 12 13______ 14_ 15 16___ 17_____________ 18 19___ 20_____ 21_ 22____________ 23

Chunks:
  TruePositive nam [3,3] = Orlińskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #1015 from 00103950 from sent11

Text  : W ich wypadku nie sposób będzie jednak mówić o reprezentatywności ,_ bo tego typu badania prowadzone są po prostu na znacznie mniejszych niż w_ wypadku badań ankietowych grupach ._
Tokens: 1 2__ 3______ 4__ 5_____ 6_____ 7_____ 8____ 9 10________________ 11 12 13__ 14__ 15_____ 16________ 17 18 19____ 20 21______ 22________ 23_ 24 25_____ 26___ 27_________ 28_____ 29

Chunks:

(ChunkerEvaluator) Sentence #1016 from 00103950 from sent12

Text  : Pracując nad badaniem uznali śmy , że na początek ważniejsze jest wskazanie na skalę zjawiska ._
Tokens: 1_______ 2__ 3_______ 4_____ 5__ 6 7_ 8_ 9_______ 10________ 11__ 12_______ 13 14___ 15______ 16

Chunks:

(ChunkerEvaluator) Sentence #1017 from 00103950 from sent13

Text  : A badając ilościowo musimy przyjąć , że jeśli ankietowani kłamią ,_ to kłamią losowo ._
Tokens: 1 2______ 3________ 4_____ 5______ 6 7_ 8____ 9__________ 10____ 11 12 13____ 14____ 15

Chunks:

(ChunkerEvaluator) Sentence #1018 from 00103950 from sent14

Text  : Choć można sprawę potraktować inaczej : gdyby nasi ankietowani udzielając odpowiedzi „_ wybielali się ”_ ,_ zaniżając poziom uczestnictwa w_ obiegu nieformalnym ,_ to zebrane dane można potraktować jako dolną granicę wielkości zjawiska ._
Tokens: 1___ 2____ 3_____ 4__________ 5______ 6 7____ 8___ 9__________ 10________ 11________ 12 13_______ 14_ 15 16 17_______ 18____ 19__________ 20 21____ 22__________ 23 24 25_____ 26__ 27___ 28_________ 29__ 30___ 31_____ 32_______ 33______ 34

Chunks:

2017-06-14 20:16:59,938 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 67 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103959.xml
(ChunkerEvaluator) Sentence #1019 from 00103959 from sent1

Text  : Wspomniany spór to komentarz Henry ’ ego Jenkinsa do wypowiedzi Sherry Turkle ze słynnego już filmu PBS Digital Nation (_ który jest zresztą doskonałym przykładem ,_ jak łączyć treści telewizyjne z_ serwisem internetowym –_ strona projektu jest imponująca )_ ._
Tokens: 1_________ 2___ 3_ 4________ 5____ 6 7__ 8_______ 9_ 10________ 11____ 12____ 13 14______ 15_ 16___ 17_ 18_____ 19____ 20 21___ 22__ 23_____ 24________ 25________ 26 27_ 28____ 29____ 30_________ 31 32______ 33__________ 34 35____ 36______ 37__ 38________ 39 40

Chunks:
  TruePositive nam [5,8] = Henry ’ ego Jenkinsa (confidence=1.00)
  TruePositive nam [11,12] = Sherry Turkle (confidence=0.98)
  TruePositive nam [17,19] = PBS Digital Nation (confidence=1.00)

(ChunkerEvaluator) Sentence #1020 from 00103959 from sent2

Text  : W filmie Turkle , odwołując się do doświadczenia 30 lat pracy akademickiej ,_ narzeka ,_ mówiąc :_ „_ Każdy wykładowca ,_ który patrzy dziś na studentów wie ,_ że jest tam poczta elektroniczna ,_ Facebook ,_ googlowanie siebie ,_ googlowanie ich ,_ googlowanie sąsiadów –_ to wszystko dzieje się w_ klasie ._ ”_
Tokens: 1 2_____ 3_____ 4 5________ 6__ 7_ 8____________ 9_ 10_ 11___ 12__________ 13 14_____ 15 16____ 17 18 19___ 20________ 21 22___ 23____ 24__ 25 26_______ 27_ 28 29 30__ 31_ 32____ 33___________ 34 35______ 36 37_________ 38____ 39 40_________ 41_ 42 43_________ 44______ 45 46 47______ 48____ 49_ 50 51____ 52 53

Chunks:
  TruePositive nam [3,3] = Turkle (confidence=1.00)
  TruePositive nam [35,35] = Facebook (confidence=1.00)

(ChunkerEvaluator) Sentence #1021 from 00103959 from sent3

Text  : Nie jest tym zachwycona , bo „ są pewne rzeczy ,_ których nie da się przemyśleć w_ połączeniu z_ 15 innymi ”_ ._
Tokens: 1__ 2___ 3__ 4_________ 5 6_ 7 8_ 9____ 10____ 11 12_____ 13_ 14 15_ 16________ 17 18________ 19 20 21____ 22 23

Chunks:

(ChunkerEvaluator) Sentence #1022 from 00103959 from sent4

Text  : W filmie pokazani są też studenci MIT , którzy opowiadają ,_ że pisząc prace zaliczeniowe mają kłopot z_ prowadzeniem wywodu dłuższego niż akapit –_ to efekt przerw na zasadzie „_ ok ,_ napisał em już trochę ,_ teraz zajrzę na Facebooka ”_ ._
Tokens: 1 2_____ 3_______ 4_ 5__ 6_______ 7__ 8 9_____ 10________ 11 12 13____ 14___ 15__________ 16__ 17____ 18 19__________ 20____ 21_______ 22_ 23____ 24 25 26___ 27____ 28 29______ 30 31 32 33_____ 34 35_ 36____ 37 38___ 39____ 40 41_______ 42 43

Chunks:
  TruePositive nam [7,7] = MIT (confidence=0.96)
  TruePositive nam [41,41] = Facebooka (confidence=1.00)

(ChunkerEvaluator) Sentence #1023 from 00103959 from sent5

Text  : W efekcie powstają mozaikowe prace , w których sporo jest dobrych fragmentów ,_ ale które nie łączą się ze sobą w_ logiczny sposób ._
Tokens: 1 2______ 3_______ 4________ 5____ 6 7 8______ 9____ 10__ 11_____ 12________ 13 14_ 15___ 16_ 17___ 18_ 19 20__ 21 22______ 23____ 24

Chunks:

(ChunkerEvaluator) Sentence #1024 from 00103959 from sent6

Text  : Na te sceny i wypowiedź Turkle ostro reaguje Jenkins ,_ który pracował na MIT ,_ gdzie wykłada Turkle ,_ przez 14 lat i_ ma zupełnie inną ocenę sytuacji ._
Tokens: 1_ 2_ 3____ 4 5________ 6_____ 7____ 8______ 9______ 10 11___ 12______ 13 14_ 15 16___ 17_____ 18____ 19 20___ 21 22_ 23 24 25______ 26__ 27___ 28______ 29

Chunks:
  TruePositive nam [6,6] = Turkle (confidence=1.00)
  TruePositive nam [9,9] = Jenkins (confidence=1.00)
  TruePositive nam [14,14] = MIT (confidence=1.00)
  TruePositive nam [18,18] = Turkle (confidence=1.00)

(ChunkerEvaluator) Sentence #1025 from 00103959 from sent7

Text  : Osobiście mam wrażenie , że tradycyjnie broniąc użytkowników nowych technologii ,_ tym razem wylewa dziecko z_ kąpielą –_ bo odpowiedź na pytanie ,_ czy media cyfrowe bardziej pomagają ,_ czy silniej rozpraszają podczas nauki ,_ nie jest aż tak oczywista ._
Tokens: 1________ 2__ 3_______ 4 5_ 6__________ 7______ 8___________ 9_____ 10_________ 11 12_ 13___ 14____ 15_____ 16 17_____ 18 19 20_______ 21 22_____ 23 24_ 25___ 26_____ 27______ 28______ 29 30_ 31_____ 32_________ 33_____ 34___ 35 36_ 37__ 38 39_ 40_______ 41

Chunks:

(ChunkerEvaluator) Sentence #1026 from 00103959 from sent8

Text  : Przede wszystkim chyba jednak warto chyba śledzić te zmiany ,_ o_ których kiedyś tak przekonująco pisał Nicholas Carr ._
Tokens: 1_____ 2________ 3____ 4_____ 5____ 6____ 7______ 8_ 9_____ 10 11 12_____ 13____ 14_ 15__________ 16___ 17______ 18__ 19

Chunks:
  TruePositive nam [17,18] = Nicholas Carr (confidence=1.00)

(ChunkerEvaluator) Sentence #1027 from 00103959 from sent9

Text  : Dominacja struktury hipertekstu na pewno zmienia sposób , w jaki myślimy ._
Tokens: 1________ 2________ 3__________ 4_ 5____ 6______ 7_____ 8 9 10__ 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #1028 from 00103959 from sent10

Text  : Także wzrost dostępności treści sprawia , że czytamy ( przeglądamy ?_ )_ inaczej ._
Tokens: 1____ 2_____ 3__________ 4_____ 5______ 6 7_ 8______ 9 10_________ 11 12 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #1029 from 00103959 from sent11

Text  : Piszemy także .
Tokens: 1______ 2____ 3

Chunks:

(ChunkerEvaluator) Sentence #1030 from 00103959 from sent12

Text  : Ciekawym rewersem historii o uczeniu się i pisaniu w dobie mediów cyfrowych (_ a_ może po prostu zupełnie inną historią ,_ która nie łączy się logicznie z_ poprzednią –_ tak ,_ zrobił em sobie przerwę na Facebooka )_ jest dylemat ,_ przed jakim stanęli ostatnio bibliotekarze z_ Uniwersytetu Emory w_ Atlancie ._
Tokens: 1_______ 2_______ 3_______ 4 5______ 6__ 7 8______ 9 10___ 11____ 12_______ 13 14 15__ 16 17____ 18______ 19__ 20______ 21 22___ 23_ 24___ 25_ 26_______ 27 28________ 29 30_ 31 32____ 33 34___ 35_____ 36 37_______ 38 39__ 40_____ 41 42___ 43___ 44_____ 45______ 46___________ 47 48__________ 49___ 50 51______ 52

Chunks:
  TruePositive nam [37,37] = Facebooka (confidence=1.00)
  TruePositive nam [48,49] = Uniwersytetu Emory (confidence=1.00)
  TruePositive nam [51,51] = Atlancie (confidence=0.96)

2017-06-14 20:17:00,028 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 68 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107249.xml
(ChunkerEvaluator) Sentence #1031 from 00107249 from sent1

Text  : 2005-07-21 : Kolejna seria wybuchów w Londynie : Ewakuowano trzy stacje metra
Tokens: 1_________ 2 3______ 4____ 5_______ 6 7_______ 8 9_________ 10__ 11____ 12___

Chunks:
  TruePositive nam [7,7] = Londynie (confidence=1.00)

(ChunkerEvaluator) Sentence #1032 from 00107249 from sent2

Text  : Doszło do trzech wybuchów w wagonach londyńskiego metra , w_ pobliżu stacji Warren Street i_ Oval ._
Tokens: 1_____ 2_ 3_____ 4_______ 5 6_______ 7___________ 8____ 9 10 11_____ 12____ 13____ 14____ 15 16__ 17

Chunks:
  TruePositive nam [13,14] = Warren Street (confidence=1.00)
  TruePositive nam [16,16] = Oval (confidence=0.95)

(ChunkerEvaluator) Sentence #1033 from 00107249 from sent3

Text  : Najprawdopodobniej była to eksplozja ładunków wypełnionych gwoździami .
Tokens: 1_________________ 2___ 3_ 4________ 5_______ 6___________ 7_________ 8

Chunks:

(ChunkerEvaluator) Sentence #1034 from 00107249 from sent4

Text  : Policja potwierdziła także wybuch ładunku wybuchowego w autobusie miejskiej linii numer 26 na Hackney Road (_ wschodni Londyn )_ ._
Tokens: 1______ 2___________ 3____ 4_____ 5______ 6__________ 7 8________ 9________ 10___ 11___ 12 13 14_____ 15__ 16 17______ 18____ 19 20

Chunks:
  TruePositive nam [14,15] = Hackney Road (confidence=0.99)
  TruePositive nam [18,18] = Londyn (confidence=1.00)

(ChunkerEvaluator) Sentence #1035 from 00107249 from sent5

Text  : Według informacji uzyskanych od kierowcy autobusy w wyniku tego wybuchu nikt nie został ranny ._
Tokens: 1_____ 2_________ 3_________ 4_ 5_______ 6_______ 7 8_____ 9___ 10_____ 11__ 12_ 13____ 14___ 15

Chunks:

(ChunkerEvaluator) Sentence #1036 from 00107249 from sent6

Text  : Według świadków doszło do eksplozji kilku niewielkich ładunków wybuchowych ._
Tokens: 1_____ 2_______ 3_____ 4_ 5________ 6____ 7__________ 8_______ 9__________ 10

Chunks:

(ChunkerEvaluator) Sentence #1037 from 00107249 from sent7

Text  : Świadkowie twierdzą również , że z jednego z pociągów wydobywa się dym ._
Tokens: 1_________ 2_______ 3______ 4 5_ 6 7______ 8 9_______ 10______ 11_ 12_ 13

Chunks:

(ChunkerEvaluator) Sentence #1038 from 00107249 from sent8

Text  : Jak powiedział Ian Blair , szef londyńskiej policji , w_ Londynie były "_ cztery eksplozje bądź próby wywołania eksplozji "_ ._
Tokens: 1__ 2_________ 3__ 4____ 5 6___ 7__________ 8______ 9 10 11______ 12__ 13 14____ 15_______ 16__ 17___ 18_______ 19_______ 20 21

Chunks:
  TruePositive nam [3,4] = Ian Blair (confidence=1.00)
  TruePositive nam [11,11] = Londynie (confidence=1.00)

(ChunkerEvaluator) Sentence #1039 from 00107249 from sent9

Text  : Incydent sklasyfikował jako " poważny " .
Tokens: 1_______ 2____________ 3___ 4 5______ 6 7

Chunks:

(ChunkerEvaluator) Sentence #1040 from 00107249 from sent10

Text  : Ponadto zasugerował mieszkańcom Londynu o " pozostanie tam , gdzie są "_ ._
Tokens: 1______ 2__________ 3__________ 4______ 5 6 7_________ 8__ 9 10___ 11 12 13

Chunks:
  TruePositive nam [4,4] = Londynu (confidence=1.00)

(ChunkerEvaluator) Sentence #1041 from 00107249 from sent11

Text  : Jak na razie nie ma żadnych danych o ofiarach ._
Tokens: 1__ 2_ 3____ 4__ 5_ 6______ 7_____ 8 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #1042 from 00107249 from sent12

Text  : Jedna osoba jest ranna .
Tokens: 1____ 2____ 3___ 4____ 5

Chunks:

(ChunkerEvaluator) Sentence #1043 from 00107249 from sent13

Text  : Zamknięto trzy linie metra ( Hammersmith & City , Victoria oraz Northern )_ ,_ ewakuowano trzy stacje podziemnej kolei oraz budynki znajdujące się w_ ich pobliżu ._
Tokens: 1________ 2___ 3____ 4____ 5 6__________ 7 8___ 9 10______ 11__ 12______ 13 14 15________ 16__ 17____ 18________ 19___ 20__ 21_____ 22________ 23_ 24 25_ 26_____ 27

Chunks:
  TruePositive nam [10,10] = Victoria (confidence=1.00)
  TruePositive nam [12,12] = Northern (confidence=0.98)
  FalsePositive nam [6,6] = Hammersmith (confidence=0.87) (incorrect boundry)
  FalsePositive nam [8,8] = City (confidence=0.55) (incorrect boundry)
  FalseNegative nam [6,8] = Hammersmith & City

(ChunkerEvaluator) Sentence #1044 from 00107249 from sent14

Text  : Po niespełna godzinie wznowiono ruch metra na linii Victoria ._
Tokens: 1_ 2________ 3_______ 4________ 5___ 6____ 7_ 8____ 9_______ 10

Chunks:
  TruePositive nam [9,9] = Victoria (confidence=1.00)

(ChunkerEvaluator) Sentence #1045 from 00107249 from sent15

Text  : Do incydentu doszło dokładnie dwa tygodnie po zamachach bombowych z_ 7_ lipca ._
Tokens: 1_ 2________ 3_____ 4________ 5__ 6_______ 7_ 8________ 9________ 10 11 12___ 13

Chunks:

(ChunkerEvaluator) Sentence #1046 from 00107249 from sent16

Text  : Zginęło w nich 56 osób , w tym trzy polki ._
Tokens: 1______ 2 3___ 4_ 5___ 6 7 8__ 9___ 10___ 11

Chunks:
  FalseNegative nam [10,10] = polki

(ChunkerEvaluator) Sentence #1047 from 00107249 from sent17

Text  : Archiwum
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #1048 from 00107249 from sent18

Text  : Zamachy bombowe w Londynie paraliżują miasto - 7 lipca 2005
Tokens: 1______ 2______ 3 4_______ 5_________ 6_____ 7 8 9____ 10__

Chunks:
  TruePositive nam [4,4] = Londynie (confidence=1.00)

(ChunkerEvaluator) Sentence #1049 from 00107249 from sent19

Text  : Źródła
Tokens: 1_____

Chunks:

(ChunkerEvaluator) Sentence #1050 from 00107249 from sent20

Text  : Metropolitan Police
Tokens: 1___________ 2_____

Chunks:
  TruePositive nam [1,2] = Metropolitan Police (confidence=1.00)

(ChunkerEvaluator) Sentence #1051 from 00107249 from sent21

Text  : Transport for London
Tokens: 1________ 2__ 3_____

Chunks:
  FalsePositive nam [3,3] = London (confidence=0.92) (incorrect boundry)
  FalseNegative nam [1,3] = Transport for London

(ChunkerEvaluator) Sentence #1052 from 00107249 from sent22

Text  : CNN
Tokens: 1__

Chunks:
  FalseNegative nam [1,1] = CNN

(ChunkerEvaluator) Sentence #1053 from 00107249 from sent23

Text  : Kurier TVP3
Tokens: 1_____ 2___

Chunks:
  FalsePositive nam [2,2] = TVP3 (confidence=0.62) (incorrect boundry)
  FalseNegative nam [1,2] = Kurier TVP3

(ChunkerEvaluator) Sentence #1054 from 00107249 from sent24

Text  : TVN 24
Tokens: 1__ 2_

Chunks:
  TruePositive nam [1,2] = TVN 24 (confidence=0.92)

(ChunkerEvaluator) Sentence #1055 from 00107249 from sent25

Text  : sekcja polska BBC
Tokens: 1_____ 2_____ 3__

Chunks:
  TruePositive nam [3,3] = BBC (confidence=0.95)

2017-06-14 20:17:00,091 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 69 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107260.xml
(ChunkerEvaluator) Sentence #1056 from 00107260 from sent1

Text  : 2006-03-09 : Grecja , Hiszpania i Portugalia otwierają swoje rynki pracy dla Polaków
Tokens: 1_________ 2 3_____ 4 5________ 6 7_________ 8________ 9____ 10___ 11___ 12_ 13_____

Chunks:
  TruePositive nam [3,3] = Grecja (confidence=0.95)
  TruePositive nam [5,5] = Hiszpania (confidence=0.99)
  TruePositive nam [7,7] = Portugalia (confidence=0.97)
  TruePositive nam [13,13] = Polaków (confidence=1.00)

(ChunkerEvaluator) Sentence #1057 from 00107260 from sent2

Text  : Jaka podaje dzisiejsza " Rzeczpospolita " , od 1 maja trzy kraje śródziemnomorskie otworzą dla Polaków swoje rynki pracy ._
Tokens: 1___ 2_____ 3_________ 4 5_____________ 6 7 8_ 9 10__ 11__ 12___ 13_______________ 14_____ 15_ 16_____ 17___ 18___ 19___ 20

Chunks:
  TruePositive nam [5,5] = Rzeczpospolita (confidence=0.87)
  TruePositive nam [16,16] = Polaków (confidence=0.95)

(ChunkerEvaluator) Sentence #1058 from 00107260 from sent3

Text  : Zachęcił je do tego przykład Wielkiej Brytanii , której gospodarka wiele zyskała na legalizacji pracy imigrantów z_ nowych państw Unii ._
Tokens: 1_______ 2_ 3_ 4___ 5_______ 6_______ 7_______ 8 9_____ 10________ 11___ 12_____ 13 14_________ 15___ 16________ 17 18____ 19____ 20__ 21

Chunks:
  TruePositive nam [6,7] = Wielkiej Brytanii (confidence=1.00)
  TruePositive nam [20,20] = Unii (confidence=0.96)

(ChunkerEvaluator) Sentence #1059 from 00107260 from sent4

Text  : Jednak przeciwieństwie do Anglii Polacy będą w tych krajach traktowani jak miejscowi ,_ otrzymają te same świadczenia socjalne ,_ urlopy i_ zasiłki dla bezrobotnych ._
Tokens: 1_____ 2______________ 3_ 4_____ 5_____ 6___ 7 8___ 9______ 10________ 11_ 12_______ 13 14_______ 15 16__ 17_________ 18______ 19 20____ 21 22_____ 23_ 24__________ 25

Chunks:
  FalsePositive nam [4,5] = Anglii Polacy (confidence=1.00) (incorrect boundry)
  FalseNegative nam [4,4] = Anglii
  FalseNegative nam [5,5] = Polacy

(ChunkerEvaluator) Sentence #1060 from 00107260 from sent5

Text  : Decyzję o otwarciu rynku pracy ogłosi dziś w Grenadzie hiszpański premier José Luis Zapatero podczas spotkania z_ szefem polskiego rządu ._
Tokens: 1______ 2 3_______ 4____ 5____ 6_____ 7___ 8 9________ 10________ 11_____ 12__ 13__ 14______ 15_____ 16_______ 17 18____ 19_______ 20___ 21

Chunks:
  TruePositive nam [9,9] = Grenadzie (confidence=1.00)
  TruePositive nam [12,14] = José Luis Zapatero (confidence=1.00)

(ChunkerEvaluator) Sentence #1061 from 00107260 from sent6

Text  : " Jesteśmy solidarni z Polską , bo przystępując do Unii musieli śmy czekać 7_ lat na możliwość pracy w_ bogatszych krajach Europy ._
Tokens: 1 2_______ 3________ 4 5_____ 6 7_ 8___________ 9_ 10__ 11_____ 12_ 13____ 14 15_ 16 17_______ 18___ 19 20________ 21_____ 22____ 23

Chunks:
  TruePositive nam [5,5] = Polską (confidence=0.96)
  TruePositive nam [10,10] = Unii (confidence=0.97)
  TruePositive nam [22,22] = Europy (confidence=1.00)

(ChunkerEvaluator) Sentence #1062 from 00107260 from sent7

Text  : I wiemy , że ograniczenia nie mają sensu " -_ tłumaczy Agustin Galan Machio ,_ rzecznik hiszpańskiej misji przy Unii ._
Tokens: 1 2____ 3 4_ 5___________ 6__ 7___ 8____ 9 10 11______ 12_____ 13___ 14____ 15 16______ 17__________ 18___ 19__ 20__ 21

Chunks:
  TruePositive nam [12,14] = Agustin Galan Machio (confidence=1.00)
  FalsePositive nam [20,20] = Unii (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #1063 from 00107260 from sent8

Text  : Zniesienie restrykcji zapowiedzieli już przedstawiciele władz Grecji i Portugalii ._
Tokens: 1_________ 2_________ 3____________ 4__ 5______________ 6____ 7_____ 8 9_________ 10

Chunks:
  TruePositive nam [7,7] = Grecji (confidence=0.99)
  TruePositive nam [9,9] = Portugalii (confidence=0.98)

2017-06-14 20:17:00,132 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 70 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107288.xml
(ChunkerEvaluator) Sentence #1064 from 00107288 from sent1

Text  : 2007-07-21 : Wybory prezydenckie w Górskim Karabachu nielegalne ?
Tokens: 1_________ 2 3_____ 4___________ 5 6______ 7________ 8_________ 9

Chunks:
  TruePositive nam [6,7] = Górskim Karabachu (confidence=1.00)

(ChunkerEvaluator) Sentence #1065 from 00107288 from sent2

Text  : Unia Europejska w piątek poinformowała , iż uważa wybory prezydenckie w_ Górskim Karabachu za niezgodne z_ prawem ,_ jak również nie uznaje niepodległości tej ormiańskiej enklawy na terytorium Azerbejdżanu ._
Tokens: 1___ 2_________ 3 4_____ 5____________ 6 7_ 8____ 9_____ 10__________ 11 12_____ 13_______ 14 15_______ 16 17____ 18 19_ 20_____ 21_ 22____ 23____________ 24_ 25_________ 26_____ 27 28________ 29__________ 30

Chunks:
  TruePositive nam [1,2] = Unia Europejska (confidence=1.00)
  TruePositive nam [12,13] = Górskim Karabachu (confidence=1.00)
  TruePositive nam [29,29] = Azerbejdżanu (confidence=1.00)

(ChunkerEvaluator) Sentence #1066 from 00107288 from sent3

Text  : W ogłoszonej deklaracji można przeczytać , że wybory te "_ nie będą mieć żadnego wpływu na pokojowe uregulowanie konfliktu wokół Górskiego Karabachu "_ ._
Tokens: 1 2_________ 3_________ 4____ 5_________ 6 7_ 8_____ 9_ 10 11_ 12__ 13__ 14_____ 15____ 16 17______ 18__________ 19_______ 20___ 21_______ 22_______ 23 24

Chunks:
  TruePositive nam [21,22] = Górskiego Karabachu (confidence=0.96)

(ChunkerEvaluator) Sentence #1067 from 00107288 from sent4

Text  : Taki wniosek wysnuła prawdopodobnie Bruksela po wstępnych wynikach głosowania ,_ które wygrał były szef miejscowych służb bezpieczeństwa generał Bako Saakian ._
Tokens: 1___ 2______ 3______ 4_____________ 5_______ 6_ 7________ 8_______ 9_________ 10 11___ 12____ 13__ 14__ 15_________ 16___ 17____________ 18_____ 19__ 20_____ 21

Chunks:
  TruePositive nam [5,5] = Bruksela (confidence=1.00)
  FalsePositive nam [18,20] = generał Bako Saakian (confidence=0.65) (incorrect boundry)
  FalseNegative nam [19,20] = Bako Saakian

(ChunkerEvaluator) Sentence #1068 from 00107288 from sent5

Text  : Republika Górskiego Karabachu nie jest uznawana przez żadne państwo w_ świecie ._
Tokens: 1________ 2________ 3________ 4__ 5___ 6_______ 7____ 8____ 9______ 10 11_____ 12

Chunks:
  TruePositive nam [1,3] = Republika Górskiego Karabachu (confidence=0.96)

(ChunkerEvaluator) Sentence #1069 from 00107288 from sent6

Text  : Enklawa ta od 19 lat stanowi przedmiot sporu między Armenią a_ Azerbejdżanem ._
Tokens: 1______ 2_ 3_ 4_ 5__ 6______ 7________ 8____ 9_____ 10_____ 11 12___________ 13

Chunks:
  TruePositive nam [10,10] = Armenią (confidence=1.00)
  TruePositive nam [12,12] = Azerbejdżanem (confidence=1.00)

(ChunkerEvaluator) Sentence #1070 from 00107288 from sent7

Text  : Poprzednie wybory w zostały również skrytykowane przez UE , jak również przez NATO i_ Radę Europy ._
Tokens: 1_________ 2_____ 3 4______ 5______ 6___________ 7____ 8_ 9 10_ 11_____ 12___ 13__ 14 15__ 16____ 17

Chunks:
  TruePositive nam [8,8] = UE (confidence=1.00)
  TruePositive nam [13,13] = NATO (confidence=1.00)
  TruePositive nam [15,16] = Radę Europy (confidence=0.99)

(ChunkerEvaluator) Sentence #1071 from 00107288 from sent8

Text  : Od wielu lat w rozwiązaniu konfliktu pomaga specjalnie do tego powołana organizacja ,_ tzw ._ grupa mińska OBWE ,_ jednak nie osiąga znaczących sukcesów ._
Tokens: 1_ 2____ 3__ 4 5__________ 6________ 7_____ 8_________ 9_ 10__ 11______ 12_________ 13 14_ 15 16___ 17____ 18__ 19 20____ 21_ 22____ 23________ 24______ 25

Chunks:
  FalsePositive nam [18,18] = OBWE (confidence=0.99) (incorrect boundry)
  FalseNegative nam [16,18] = grupa mińska OBWE

2017-06-14 20:17:00,171 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 71 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107339.xml
(ChunkerEvaluator) Sentence #1072 from 00107339 from sent1

Text  : 2009-06-24 : Bagdad : wybuch bomby zabił 61 osób
Tokens: 1_________ 2 3_____ 4 5_____ 6____ 7____ 8_ 9___

Chunks:
  TruePositive nam [3,3] = Bagdad (confidence=0.96)

(ChunkerEvaluator) Sentence #1073 from 00107339 from sent2

Text  : W dzisiejszym wybuchu bomby w stolicy Iraku zginęło 61 osób ._
Tokens: 1 2__________ 3______ 4____ 5 6______ 7____ 8______ 9_ 10__ 11

Chunks:
  TruePositive nam [7,7] = Iraku (confidence=1.00)

(ChunkerEvaluator) Sentence #1074 from 00107339 from sent3

Text  : Do eksplozji doszło w wschodniej dzielnicy Sadra .
Tokens: 1_ 2________ 3_____ 4 5_________ 6________ 7____ 8

Chunks:
  TruePositive nam [7,7] = Sadra (confidence=1.00)

(ChunkerEvaluator) Sentence #1075 from 00107339 from sent4

Text  : Bomba przymocowana do motocykla wybuchła podczas przejazdu przez tamtejszy rynek obok targowiska ._
Tokens: 1____ 2___________ 3_ 4________ 5_______ 6______ 7________ 8____ 9________ 10___ 11__ 12________ 13

Chunks:

(ChunkerEvaluator) Sentence #1076 from 00107339 from sent5

Text  : W wyniku tego zdarzenia 52 osób zmarło , 116 odniosło rany ._
Tokens: 1 2_____ 3___ 4________ 5_ 6___ 7_____ 8 9__ 10______ 11__ 12

Chunks:

(ChunkerEvaluator) Sentence #1077 from 00107339 from sent6

Text  : Stało się to na sześć dni przed wycofaniem się wojsk amerykańskich z_ dużych irackich miast ._
Tokens: 1____ 2__ 3_ 4_ 5____ 6__ 7____ 8_________ 9__ 10___ 11___________ 12 13____ 14______ 15___ 16

Chunks:

(ChunkerEvaluator) Sentence #1078 from 00107339 from sent7

Text  : Całkowicie Amerykanie Irak maja opuścić do 2012 roku .
Tokens: 1_________ 2_________ 3___ 4___ 5______ 6_ 7___ 8___ 9

Chunks:
  TruePositive nam [2,2] = Amerykanie (confidence=0.92)
  TruePositive nam [3,3] = Irak (confidence=0.55)

(ChunkerEvaluator) Sentence #1079 from 00107339 from sent8

Text  : Dziś doszło także do eksplozji w Mosulu i Kirkuku ._
Tokens: 1___ 2_____ 3____ 4_ 5________ 6 7_____ 8 9______ 10

Chunks:
  TruePositive nam [7,7] = Mosulu (confidence=1.00)
  TruePositive nam [9,9] = Kirkuku (confidence=1.00)

(ChunkerEvaluator) Sentence #1080 from 00107339 from sent9

Text  : W obu miastach wybuchły po dwie bomby .
Tokens: 1 2__ 3_______ 4_______ 5_ 6___ 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #1081 from 00107339 from sent10

Text  : W pierwszym mieście w pierwszej eksplozji zginął policjant , inny odniósł rany ;_ w_ wybuchu samochodu -_ pułapki ranny został iracki żołnierz ._
Tokens: 1 2________ 3______ 4 5________ 6________ 7_____ 8________ 9 10__ 11_____ 12__ 13 14 15_____ 16_______ 17 18_____ 19___ 20____ 21____ 22______ 23

Chunks:

(ChunkerEvaluator) Sentence #1082 from 00107339 from sent11

Text  : Z kolei w Kirkuku w pierwszym wybuchu ranni zostali trzej pracownicy czyszczący ulice ._
Tokens: 1 2____ 3 4______ 5 6________ 7______ 8____ 9______ 10___ 11________ 12________ 13___ 14

Chunks:
  TruePositive nam [4,4] = Kirkuku (confidence=1.00)

(ChunkerEvaluator) Sentence #1083 from 00107339 from sent12

Text  : Do eksplozji doszło gdy jeden pracownik opróżniał kosz na śmieci w_ którym umieszczona była bomba ;_ w_ drugim wybuchu zginął terrorysta ,_ który chciał podłożyć materiał wybuchowy ._
Tokens: 1_ 2________ 3_____ 4__ 5____ 6________ 7________ 8___ 9_ 10____ 11 12____ 13_________ 14__ 15___ 16 17 18____ 19_____ 20____ 21________ 22 23___ 24____ 25______ 26______ 27_______ 28

Chunks:

(ChunkerEvaluator) Sentence #1084 from 00107339 from sent13

Text  : 22 czerwca doszło do aż sześciu wybuchu bomb w różnych dzielnicach Bagdadu ._
Tokens: 1_ 2______ 3_____ 4_ 5_ 6______ 7______ 8___ 9 10_____ 11_________ 12_____ 13

Chunks:
  TruePositive nam [12,12] = Bagdadu (confidence=1.00)

(ChunkerEvaluator) Sentence #1085 from 00107339 from sent14

Text  : Wówczas zginęło 15 osób , ranne zostały 74 osoby ._
Tokens: 1______ 2______ 3_ 4___ 5 6____ 7______ 8_ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #1086 from 00107339 from sent15

Text  : Z kolei 20 czerwca miał miejsce najkrwawszy zamach terrorystyczny w_ 2009 roku ._
Tokens: 1 2____ 3_ 4______ 5___ 6______ 7__________ 8_____ 9_____________ 10 11__ 12__ 13

Chunks:

(ChunkerEvaluator) Sentence #1087 from 00107339 from sent16

Text  : Pod Kirkukiem w wybuchu bomby zginęły 72 osoby .
Tokens: 1__ 2________ 3 4______ 5____ 6______ 7_ 8____ 9

Chunks:
  TruePositive nam [2,2] = Kirkukiem (confidence=0.67)

(ChunkerEvaluator) Sentence #1088 from 00107339 from sent17

Text  : Zobacz też
Tokens: 1_____ 2__

Chunks:

(ChunkerEvaluator) Sentence #1089 from 00107339 from sent18

Text  : Wikipedia : Lista zamachów terrorystycznych 2009
Tokens: 1________ 2 3____ 4_______ 5_______________ 6___

Chunks:
  TruePositive nam [1,1] = Wikipedia (confidence=0.71)

2017-06-14 20:17:00,228 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 72 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107341.xml
(ChunkerEvaluator) Sentence #1090 from 00107341 from sent1

Text  : 2009-07-01 : Irak : zamach w Kirkuku podczas święta suwerenności
Tokens: 1_________ 2 3___ 4 5_____ 6 7______ 8______ 9_____ 10__________

Chunks:
  TruePositive nam [3,3] = Irak (confidence=0.99)
  TruePositive nam [7,7] = Kirkuku (confidence=0.99)

(ChunkerEvaluator) Sentence #1091 from 00107341 from sent2

Text  : Wczoraj podczas święta suwerenności po wycofaniu się wojsk amerykańskich z_ irackich miast w_ Kirkuku wybuchła bomba ._
Tokens: 1______ 2______ 3_____ 4___________ 5_ 6________ 7__ 8____ 9____________ 10 11______ 12___ 13 14_____ 15______ 16___ 17

Chunks:
  TruePositive nam [14,14] = Kirkuku (confidence=0.99)

(ChunkerEvaluator) Sentence #1092 from 00107341 from sent3

Text  : 32 osoby straciły życie , ponad 100 ludzi odniosło rany ._
Tokens: 1_ 2____ 3_______ 4____ 5 6____ 7__ 8____ 9_______ 10__ 11

Chunks:

(ChunkerEvaluator) Sentence #1093 from 00107341 from sent4

Text  : Do wybuchu doszło wieczorem na zatłoczonym targowisku w kurdyjskiej części Kirkuku ,_ gdzie występują napięcia między Kurdami i_ Arabami ._
Tokens: 1_ 2______ 3_____ 4________ 5_ 6__________ 7_________ 8 9__________ 10____ 11_____ 12 13___ 14_______ 15______ 16____ 17_____ 18 19_____ 20

Chunks:
  TruePositive nam [11,11] = Kirkuku (confidence=1.00)
  TruePositive nam [17,17] = Kurdami (confidence=0.79)
  TruePositive nam [19,19] = Arabami (confidence=0.91)

(ChunkerEvaluator) Sentence #1094 from 00107341 from sent5

Text  : Wczoraj w Iraku odbywało się święto narodowe , jak to określił premier al -_ Maliki odzyskanie suwerenności kraju ._
Tokens: 1______ 2 3____ 4_______ 5__ 6_____ 7_______ 8 9__ 10 11______ 12_____ 13 14 15____ 16________ 17__________ 18___ 19

Chunks:
  TruePositive nam [3,3] = Iraku (confidence=1.00)
  TruePositive nam [13,15] = al - Maliki (confidence=0.97)

(ChunkerEvaluator) Sentence #1095 from 00107341 from sent6

Text  : Amerykanie wyszli z miast , a teraz wojska będą przebywać tylko w_ bazach ._
Tokens: 1_________ 2_____ 3 4____ 5 6 7____ 8_____ 9___ 10_______ 11___ 12 13____ 14

Chunks:
  FalseNegative nam [1,1] = Amerykanie

(ChunkerEvaluator) Sentence #1096 from 00107341 from sent7

Text  : Całkowite wycofanie się wojsk Amerykańskich ma nastąpić z końcem 2011 roku ._
Tokens: 1________ 2________ 3__ 4____ 5____________ 6_ 7_______ 8 9_____ 10__ 11__ 12

Chunks:

2017-06-14 20:17:00,257 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 73 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107349.xml
(ChunkerEvaluator) Sentence #1097 from 00107349 from sent1

Text  : 2009-10-11 : Armenia i Turcja nawiązały stosunki dyplomatyczne
Tokens: 1_________ 2 3______ 4 5_____ 6________ 7_______ 8____________

Chunks:
  TruePositive nam [3,3] = Armenia (confidence=0.94)
  TruePositive nam [5,5] = Turcja (confidence=0.99)

(ChunkerEvaluator) Sentence #1098 from 00107349 from sent2

Text  : Przez blisko sto lat Turcję i Armenię dzieliły wzajemne animozje ._
Tokens: 1____ 2_____ 3__ 4__ 5_____ 6 7______ 8_______ 9_______ 10______ 11

Chunks:
  TruePositive nam [5,5] = Turcję (confidence=1.00)
  TruePositive nam [7,7] = Armenię (confidence=0.98)

(ChunkerEvaluator) Sentence #1099 from 00107349 from sent3

Text  : Wczoraj wieczorem podpisano umowę , która ostatecznie ureguluje stosunki dyplomatyczne między zwaśnionymi krajami ._
Tokens: 1______ 2________ 3________ 4____ 5 6____ 7__________ 8________ 9_______ 10___________ 11____ 12_________ 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #1100 from 00107349 from sent4

Text  : Na mocy porozumienia otwarte zostaną granice , które od 1993 roku pozostawały zamknięte ._
Tokens: 1_ 2___ 3___________ 4______ 5______ 6______ 7 8____ 9_ 10__ 11__ 12_________ 13_______ 14

Chunks:

(ChunkerEvaluator) Sentence #1101 from 00107349 from sent5

Text  : Był to rezultat konfliktu o Górski Karabach , kiedy to Armenia zaatakowała region ,_ który etnicznie jest ormiański ,_ ale przynależał do Azerbejdżanu ._
Tokens: 1__ 2_ 3_______ 4________ 5 6_____ 7_______ 8 9____ 10 11_____ 12_________ 13____ 14 15___ 16_______ 17__ 18_______ 19 20_ 21_________ 22 23__________ 24

Chunks:
  TruePositive nam [6,7] = Górski Karabach (confidence=0.80)
  TruePositive nam [11,11] = Armenia (confidence=1.00)
  TruePositive nam [23,23] = Azerbejdżanu (confidence=1.00)

(ChunkerEvaluator) Sentence #1102 from 00107349 from sent6

Text  : Otwarcie granic ma nastąpić w przeciągu 2 miesięcy od chwili ratyfikacji umowy przez parlamenty Turcji i_ Armenii ._
Tokens: 1_______ 2_____ 3_ 4_______ 5 6________ 7 8_______ 9_ 10____ 11_________ 12___ 13___ 14________ 15____ 16 17_____ 18

Chunks:
  TruePositive nam [15,15] = Turcji (confidence=1.00)
  TruePositive nam [17,17] = Armenii (confidence=0.98)

(ChunkerEvaluator) Sentence #1103 from 00107349 from sent7

Text  : Największe emocje budzi jednak nadal nierozwiązany spór o ocenę masakry Ormian ,_ której dokonały w_ 1915 roku władze tureckie ._
Tokens: 1_________ 2_____ 3____ 4_____ 5____ 6____________ 7___ 8 9____ 10_____ 11____ 12 13____ 14______ 15 16__ 17__ 18____ 19______ 20

Chunks:
  TruePositive nam [11,11] = Ormian (confidence=0.97)

2017-06-14 20:17:00,286 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 74 from 74: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107359.xml
(ChunkerEvaluator) Sentence #1104 from 00107359 from sent1

Text  : 2010-07-17 : Darfur : w bitwie zginęło 300 rebeliantów i_ 75 sudańskich żołnierzy
Tokens: 1_________ 2 3_____ 4 5 6_____ 7______ 8__ 9__________ 10 11 12________ 13_______

Chunks:
  TruePositive nam [3,3] = Darfur (confidence=0.74)

(ChunkerEvaluator) Sentence #1105 from 00107359 from sent2

Text  : 300 rebeliantów i 75 sudańskich żołnierzy zginęło w gwałtownych walkach w_ Darfurze w_ ostatnim tygodniu -_ poinformowała w_ sobotę armia sudańska ._
Tokens: 1__ 2__________ 3 4_ 5_________ 6________ 7______ 8 9__________ 10_____ 11 12______ 13 14______ 15______ 16 17___________ 18 19____ 20___ 21______ 22

Chunks:
  TruePositive nam [12,12] = Darfurze (confidence=1.00)

(ChunkerEvaluator) Sentence #1106 from 00107359 from sent3

Text  : Jest to bilans dwóch , bądź trzech bitew stoczonych przez sudańskich żołnierzy z_ rebeliantami Ruchu Sprawiedliwości i_ Równości (_ JEM )_ ._
Tokens: 1___ 2_ 3_____ 4____ 5 6___ 7_____ 8____ 9_________ 10___ 11________ 12_______ 13 14__________ 15___ 16_____________ 17 18______ 19 20_ 21 22

Chunks:
  TruePositive nam [15,18] = Ruchu Sprawiedliwości i Równości (confidence=1.00)
  TruePositive nam [20,20] = JEM (confidence=1.00)

(ChunkerEvaluator) Sentence #1107 from 00107359 from sent4

Text  : W czasie walk armia zniszczyła dziesiątki pojazdów , którymi poruszali się rebelianci ,_ zajęła tez ich cysternę ._
Tokens: 1 2_____ 3___ 4____ 5_________ 6_________ 7_______ 8 9______ 10_______ 11_ 12________ 13 14____ 15_ 16_ 17______ 18

Chunks:

(ChunkerEvaluator) Sentence #1108 from 00107359 from sent5

Text  : Jeśli bilans ofiar się potwierdzi to będzie to jedna z_ najbardziej krwawych bitew XXI wieku ._
Tokens: 1____ 2_____ 3____ 4__ 5_________ 6_ 7_____ 8_ 9____ 10 11_________ 12______ 13___ 14_ 15___ 16

Chunks:

(ChunkerEvaluator) Sentence #1109 from 00107359 from sent6

Text  : Do poprzednich tak gwałtownych walk na Czarnym Lądzie doszło przy okazji walk o_ Adre w_ Czadzie w_ 2005 i_ szturmu stolicy Czadu -_ Ndżameny w_ 2008 ,_ kiedy ginęło blisko 300 rebeliantów ._
Tokens: 1_ 2__________ 3__ 4__________ 5___ 6_ 7______ 8_____ 9_____ 10__ 11____ 12__ 13 14__ 15 16_____ 17 18__ 19 20_____ 21_____ 22___ 23 24______ 25 26__ 27 28___ 29____ 30____ 31_ 32_________ 33

Chunks:
  TruePositive nam [7,8] = Czarnym Lądzie (confidence=0.99)
  TruePositive nam [14,14] = Adre (confidence=1.00)
  TruePositive nam [16,16] = Czadzie (confidence=0.99)
  TruePositive nam [22,22] = Czadu (confidence=1.00)
  TruePositive nam [24,24] = Ndżameny (confidence=0.97)

(ChunkerEvaluator) Sentence #1110 from 00107359 from sent7

Text  : Krwawsze były tylko walki z udziałem wojsk USA w Iraku -_ II bitwa o_ Faludżę z_ listopada 2004 ._
Tokens: 1_______ 2___ 3____ 4____ 5 6_______ 7____ 8__ 9 10___ 11 12 13___ 14 15_____ 16 17_______ 18__ 19

Chunks:
  TruePositive nam [8,8] = USA (confidence=1.00)
  TruePositive nam [10,10] = Iraku (confidence=1.00)
  TruePositive nam [15,15] = Faludżę (confidence=0.90)

(ChunkerEvaluator) Sentence #1111 from 00107359 from sent8

Text  : W Darfurze stacjonują siły UNAMID , które są złożone głównie z_ żołnierzy i_ policjantów z_ krajów afrykańskich ,_ ale w_ ich skład wchodzą też wojskowi z_ Europy ,_ jednak nie ma informacji by brały one udział w_ starciach ._
Tokens: 1 2_______ 3_________ 4___ 5_____ 6 7____ 8_ 9______ 10_____ 11 12_______ 13 14_________ 15 16____ 17__________ 18 19_ 20 21_ 22___ 23_____ 24_ 25______ 26 27____ 28 29____ 30_ 31 32________ 33 34___ 35_ 36____ 37 38_______ 39

Chunks:
  TruePositive nam [2,2] = Darfurze (confidence=0.98)
  TruePositive nam [5,5] = UNAMID (confidence=1.00)
  TruePositive nam [27,27] = Europy (confidence=1.00)

(ChunkerEvaluator) Sentence #1112 from 00107359 from sent9

Text  : Łącznie UNAMID liczy obecnie około 26 tysięcy żołnierzy i policjantów ._
Tokens: 1______ 2_____ 3____ 4______ 5____ 6_ 7______ 8________ 9 10_________ 11

Chunks:
  TruePositive nam [2,2] = UNAMID (confidence=1.00)

(ChunkerEvaluator) Sentence #1113 from 00107359 from sent10

Text  : Rozmieszczanie tych jednostek w Darfurze rozpoczęło się ponad dwa lata temu ._
Tokens: 1_____________ 2___ 3________ 4 5_______ 6_________ 7__ 8____ 9__ 10__ 11__ 12

Chunks:
  TruePositive nam [5,5] = Darfurze (confidence=1.00)

(ChunkerEvaluator) Sentence #1114 from 00107359 from sent11

Text  : Oprócz walk między rebeliantami i wojskiem , w Sudanie dochodzi do częstych ataków bojowników na siły UNAMID ,_ a_ także do walk między tamtejszymi plemionami ._
Tokens: 1_____ 2___ 3_____ 4___________ 5 6_______ 7 8 9______ 10______ 11 12______ 13____ 14________ 15 16__ 17____ 18 19 20___ 21 22__ 23____ 24_________ 25________ 26

Chunks:
  TruePositive nam [9,9] = Sudanie (confidence=1.00)
  TruePositive nam [17,17] = UNAMID (confidence=1.00)

(ChunkerEvaluator) Sentence #1115 from 00107359 from sent12

Text  : Rebelianci z JEM podpisali w 23 lutego 2010 układ w_ Katarze z_ rządem sudańskim o_ natychmiastowym wstrzymaniu ognia w_ Darfurze ,_ jednak fala przemocy wzmogła się po zerwanych rozmowach z_ początku maja ._
Tokens: 1_________ 2 3__ 4________ 5 6_ 7_____ 8___ 9____ 10 11_____ 12 13____ 14_______ 15 16_____________ 17_________ 18___ 19 20______ 21 22____ 23__ 24______ 25_____ 26_ 27 28_______ 29_______ 30 31______ 32__ 33

Chunks:
  TruePositive nam [3,3] = JEM (confidence=0.66)
  TruePositive nam [11,11] = Katarze (confidence=1.00)
  TruePositive nam [20,20] = Darfurze (confidence=1.00)

(ChunkerEvaluator) Sentence #1116 from 00107359 from sent13

Text  : Część ugrupowań rebelianckich z Darfuru , m . in ._ Sudańska Armia Wyzwoleńcza (_ SLA )_ oraz rozłamowa frakcja JEM (_ „_ JEM -_ Demokracja ”_ )_ odmówiły przystąpienia do porozumienia ._
Tokens: 1____ 2________ 3____________ 4 5______ 6 7 8 9_ 10 11______ 12___ 13_________ 14 15_ 16 17__ 18_______ 19_____ 20_ 21 22 23_ 24 25________ 26 27 28______ 29___________ 30 31__________ 32

Chunks:
  TruePositive nam [5,5] = Darfuru (confidence=1.00)
  TruePositive nam [11,13] = Sudańska Armia Wyzwoleńcza (confidence=1.00)
  TruePositive nam [15,15] = SLA (confidence=1.00)
  TruePositive nam [20,20] = JEM (confidence=0.62)
  TruePositive nam [23,25] = JEM - Demokracja (confidence=1.00)

(ChunkerEvaluator) Sentence #1117 from 00107359 from sent14

Text  : Ogłosiły bowiem , że JEM zdradził interesy prowincji .
Tokens: 1_______ 2_____ 3 4_ 5__ 6_______ 7_______ 8________ 9

Chunks:
  TruePositive nam [5,5] = JEM (confidence=0.82)

(ChunkerEvaluator) Sentence #1118 from 00107359 from sent15

Text  : W wyniku załamania się rozmów w maju 2010 zginęło w_ walkach niemal 600 osób ._
Tokens: 1 2_____ 3________ 4__ 5_____ 6 7___ 8___ 9______ 10 11_____ 12____ 13_ 14__ 15

Chunks:

(ChunkerEvaluator) Sentence #1119 from 00107359 from sent16

Text  : Był to najkrwawszy miesiąc w Darfurze od dwóch lat ._
Tokens: 1__ 2_ 3__________ 4______ 5 6_______ 7_ 8____ 9__ 10

Chunks:
  TruePositive nam [6,6] = Darfurze (confidence=0.99)

(ChunkerEvaluator) Sentence #1120 from 00107359 from sent17

Text  : 440 osób zginęło w potyczkach między siłami rządowymi i rebeliantami ,_ natomiast 126 osób w_ walkach plemiennych ._
Tokens: 1__ 2___ 3______ 4 5_________ 6_____ 7_____ 8________ 9 10__________ 11 12_______ 13_ 14__ 15 16_____ 17_________ 18

Chunks:

(ChunkerEvaluator) Sentence #1121 from 00107359 from sent18

Text  : W kwietniu 2010 w Sudanie odbyły się wybory powszechne ,_ które wygrał z_ wynikiem ponad 68 %_ głosów poparcia ,_ wygrał urzędujący prezydent Omar al -_ Baszir ,_ a_ jego partia Kongres Narodowy zdobyła prawie 73 %_ głosów w_ wyborach parlamentarnych ._
Tokens: 1 2_______ 3___ 4 5______ 6_____ 7__ 8_____ 9_________ 10 11___ 12____ 13 14______ 15___ 16 17 18____ 19______ 20 21____ 22________ 23_______ 24__ 25 26 27____ 28 29 30__ 31____ 32_____ 33______ 34_____ 35____ 36 37 38____ 39 40______ 41_____________ 42

Chunks:
  TruePositive nam [5,5] = Sudanie (confidence=1.00)
  TruePositive nam [24,27] = Omar al - Baszir (confidence=1.00)
  TruePositive nam [32,33] = Kongres Narodowy (confidence=1.00)

(ChunkerEvaluator) Sentence #1122 from 00107359 from sent19

Text  : Obserwatorzy z UE uznali , że wybory nie spełniły standardów międzynarodowych ,_ lecz były znaczącym krokiem w_ kierunku demokracji ._
Tokens: 1___________ 2 3_ 4_____ 5 6_ 7_____ 8__ 9_______ 10________ 11______________ 12 13__ 14__ 15_______ 16_____ 17 18______ 19________ 20

Chunks:
  TruePositive nam [3,3] = UE (confidence=1.00)

(ChunkerEvaluator) Sentence #1123 from 00107359 from sent20

Text  : Prezydent Sudanu Omar al - Baszir 12 lipca dostał po raz drugi międzynarodowy nakaz aresztowania od Międzynarodowego Trybunału Karnego (_ MTK )_ ._
Tokens: 1________ 2_____ 3___ 4_ 5 6_____ 7_ 8____ 9_____ 10 11_ 12___ 13____________ 14___ 15__________ 16 17______________ 18_______ 19_____ 20 21_ 22 23

Chunks:
  TruePositive nam [2,2] = Sudanu (confidence=1.00)
  TruePositive nam [3,6] = Omar al - Baszir (confidence=0.94)
  TruePositive nam [17,19] = Międzynarodowego Trybunału Karnego (confidence=1.00)
  TruePositive nam [21,21] = MTK (confidence=1.00)

(ChunkerEvaluator) Sentence #1124 from 00107359 from sent21

Text  : Pierwszy taki nakaz miał miejsce w marcu 2009 .
Tokens: 1_______ 2___ 3____ 4___ 5______ 6 7____ 8___ 9

Chunks:

(ChunkerEvaluator) Sentence #1125 from 00107359 from sent22

Text  : Al - Baszir jest oskarżony o współodpowiedzialność za zbrodnie ludobójstwa podczas toczącego się na południu kraju konfliktu zbrojnego ,_ podejrzewany o_ inspirowanie masakr w_ zachodniosudańskiej prowincji Darfur ._
Tokens: 1_ 2 3_____ 4___ 5________ 6 7____________________ 8_ 9_______ 10_________ 11_____ 12_______ 13_ 14 15______ 16___ 17_______ 18_______ 19 20__________ 21 22__________ 23____ 24 25_________________ 26_______ 27____ 28

Chunks:
  TruePositive nam [1,3] = Al - Baszir (confidence=1.00)
  TruePositive nam [27,27] = Darfur (confidence=0.98)

(ChunkerEvaluator) Sentence #1126 from 00107359 from sent23

Text  : Sudan , największe państwo na kontynencie afrykańskim , przez dekady zmagał się z_ wojną domową północnej części kraju z_ południem ._
Tokens: 1____ 2 3_________ 4______ 5_ 6__________ 7__________ 8 9____ 10____ 11____ 12_ 13 14___ 15____ 16_______ 17____ 18___ 19 20_______ 21

Chunks:
  TruePositive nam [1,1] = Sudan (confidence=1.00)

(ChunkerEvaluator) Sentence #1127 from 00107359 from sent24

Text  : Podłoże konfliktu stanowiły różnice etniczne i religijne , jako że północ kraju zamieszkana jest przez ludność muzułmańską ,_ a_ południe przez ludność chrześcijańską i_ animistyczną ._
Tokens: 1______ 2________ 3________ 4______ 5_______ 6 7________ 8 9___ 10 11____ 12___ 13_________ 14__ 15___ 16_____ 17_________ 18 19 20______ 21___ 22_____ 23____________ 24 25__________ 26

Chunks:

(ChunkerEvaluator) Sentence #1128 from 00107359 from sent25

Text  : Dopiero w styczniu 2005 obie strony doszły do kompromisu i_ podpisały całościowe porozumienie pokojowe ._
Tokens: 1______ 2 3_______ 4___ 5___ 6_____ 7_____ 8_ 9_________ 10 11_______ 12________ 13__________ 14______ 15

Chunks:

(ChunkerEvaluator) Sentence #1129 from 00107359 from sent26

Text  : Na jego mocy Sudan Południowy zyskał szeroką autonomię z własnym parlamentem i_ prezydentem ,_ który z_ urzędu objął także stanowisko wiceprezydenta Sudanu ._
Tokens: 1_ 2___ 3___ 4____ 5_________ 6_____ 7______ 8________ 9 10_____ 11_________ 12 13_________ 14 15___ 16 17____ 18___ 19___ 20________ 21____________ 22____ 23

Chunks:
  TruePositive nam [4,5] = Sudan Południowy (confidence=1.00)
  TruePositive nam [22,22] = Sudanu (confidence=1.00)

(ChunkerEvaluator) Sentence #1130 from 00107359 from sent27

Text  : W kraju miały zostać przeprowadzone wolne wybory , a w_ styczniu 2011 referendum niepodległościowe w_ Sudanie Południowym na temat przyszłego statusu prowincji ._
Tokens: 1 2____ 3____ 4_____ 5_____________ 6____ 7_____ 8 9 10 11______ 12__ 13________ 14_______________ 15 16_____ 17_________ 18 19___ 20________ 21_____ 22_______ 23

Chunks:
  TruePositive nam [16,17] = Sudanie Południowym (confidence=1.00)

(ChunkerEvaluator) Sentence #1131 from 00107359 from sent28

Text  : Postanowienia te znalazły odzwierciedlenie w przyjętej w 2005 nowej konstytucji kraju
Tokens: 1____________ 2_ 3_______ 4_______________ 5 6________ 7 8___ 9____ 10_________ 11___

Chunks:

(ChunkerEvaluator) Sentence #1132 from 00107359 from sent29

Text  : Konflikt w Darfurze trwa od 2003 roku .
Tokens: 1_______ 2 3_______ 4___ 5_ 6___ 7___ 8

Chunks:
  TruePositive nam [3,3] = Darfurze (confidence=1.00)

(ChunkerEvaluator) Sentence #1133 from 00107359 from sent30

Text  : Konflikt ten wywołał obecnie największy kryzys humanitarny na świecie ._
Tokens: 1_______ 2__ 3______ 4______ 5_________ 6_____ 7__________ 8_ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #1134 from 00107359 from sent31

Text  : Liczba ofiar najnowszego konfliktu jest szacowana na ponad 200 tys ._ zabitych ,_ łączny bilans zabitych w_ trwającym ponad 50 lat konfrontacji sięga ponad 2_ milionów ofiar ,_ zaś ponad 4_ ,_ 5_ mln ludzi zostało zmuszonych do emigracji ._
Tokens: 1_____ 2____ 3__________ 4________ 5___ 6________ 7_ 8____ 9__ 10_ 11 12______ 13 14____ 15____ 16______ 17 18_______ 19___ 20 21_ 22__________ 23___ 24___ 25 26______ 27___ 28 29_ 30___ 31 32 33 34_ 35___ 36_____ 37________ 38 39_______ 40

Chunks:

======================================================================================
# Exact match evaluation -- annotation span and types evaluation
======================================================================================
        Annotation                     &      TP &      FP &      FN & Precision & Recall  & F$_1$   \\
\hline
        nam                            &     722 &     137 &     119 &    84.05% &  85.85% &  84.94% \\
\hline
        *TOTAL*                        &     722 &     137 &     119 &    84.05% &  85.85% &  84.94% \\


======================================================================================
# Annotation span evaluation (annotation types are ignored)
======================================================================================
        Annotation                     &      TP &      FP &      FN & Precision & Recall  & F$_1$   \\
\hline
        *TOTAL*                        &     722 &     137 &     119 &    84.05% &  85.85% &  84.94% \\


======================================================================================
# MUC match evaluation
======================================================================================
        Annotation                     &     COR &     ACT &     POS & Precision & Recall  & F$_1$   \\
\hline
        nam                            &    1506 &     212 &     170 &    87.66% &  89.86% &  88.74% \\
\hline
        *TOTAL*                        &    1506 &     212 &     170 &    87.66% &  89.86% &  88.74% \\


====================================================
Processing time
====================================================
1) Model loading        : --h 03m 08s (188645451899ns) 
2) Data reading         : --h --m 00s (163623565ns) 
3) Feature generation   : --h --m 00s (914551805ns) 
4) Chunking             : --h --m 01s (1816390669ns) 
5) Evaluation           : --h --m 02s (2193300471ns) (not in total time)
----------------------------------------------------
## Total time             --h 03m 11s (191540017938ns)
----------------------------------------------------
Tokens           :    17530
Text kB          :      104.76
Tokens  / second :       91.52
Text kB / second :        0.55
----------------------------------------------------
***************************************** FOLD 6 *****************************************
2017-06-14 20:17:00,460 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100527.xml
2017-06-14 20:17:00,466 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 2 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100531.xml
2017-06-14 20:17:00,474 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 3 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101201.xml
2017-06-14 20:17:00,478 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101234.xml
2017-06-14 20:17:00,502 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101263.xml
2017-06-14 20:17:00,529 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101276.xml
2017-06-14 20:17:00,531 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 7 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101294.xml
2017-06-14 20:17:00,548 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 8 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101306.xml
2017-06-14 20:17:00,570 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 9 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101317.xml
2017-06-14 20:17:00,572 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 10 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101350.xml
2017-06-14 20:17:00,579 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 11 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101392.xml
2017-06-14 20:17:00,602 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 12 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101395.xml
2017-06-14 20:17:00,613 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 13 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101398.xml
2017-06-14 20:17:00,616 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 14 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101399.xml
2017-06-14 20:17:00,622 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 15 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101414.xml
2017-06-14 20:17:00,629 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 16 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101434.xml
2017-06-14 20:17:00,640 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 17 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101457.xml
2017-06-14 20:17:00,645 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 18 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101467.xml
2017-06-14 20:17:00,647 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 19 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101480.xml
2017-06-14 20:17:00,651 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 20 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101496.xml
2017-06-14 20:17:00,664 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 21 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101498.xml
2017-06-14 20:17:00,666 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 22 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101514.xml
2017-06-14 20:17:00,693 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 23 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101560.xml
2017-06-14 20:17:00,718 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 24 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101597.xml
2017-06-14 20:17:00,738 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 25 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101607.xml
2017-06-14 20:17:00,764 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 26 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101612.xml
2017-06-14 20:17:00,793 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 27 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101615.xml
2017-06-14 20:17:00,823 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 28 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101741.xml
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2017-06-14 20:17:09,178 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 584 from 615: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101936.xml
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2017-06-14 20:17:10,677 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 60 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107280.xml
2017-06-14 20:17:10,692 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 61 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107284.xml
2017-06-14 20:17:10,712 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 62 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107287.xml
2017-06-14 20:17:10,725 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 63 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107307.xml
2017-06-14 20:17:10,741 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 64 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107309.xml
2017-06-14 20:17:10,758 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 65 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107323.xml
-> Setting up chunker: chunker_c1
(TokenFeatureGenerator) Loading features...
[orth, base, ctag, synonym, hypernym-1, hypernym-2, hypernym-3, top4hyper-1, top4hyper-2, top4hyper-3, class, case, number, gender, pattern, prefix-1, prefix-2, prefix-3, prefix-4, suffix-1, suffix-2, suffix-3, suffix-4, all_alphanumeric, all_digits, all_letters, all_upper, has_upper_case, has_lower_case, has_symbol, has_digit, starts_with_upper_case, starts_with_lower_case, starts_with_symbol, starts_with_digit, is_number, no_alphanumeric, no_letters, struct, length, dict_person_first_nam, dict_person_last_nam, dict_country_nam, dict_city_nam, dict_road_nam, dict_person_prefix, dict_person_noun, dict_person_suffix, dict_road_prefix, dict_country_prefix, dict_trigger_int_bloc, dict_trigger_ext_bloc, dict_trigger_int_country, dict_trigger_ext_country, dict_trigger_int_district, dict_trigger_ext_district, dict_trigger_int_geogName, dict_trigger_ext_geogName, dict_trigger_int_orgName, dict_trigger_ext_orgName, dict_trigger_int_persName, dict_trigger_ext_persName, dict_trigger_int_region, dict_trigger_ext_region, dict_trigger_int_settlement, dict_trigger_ext_settlement, agr1, parenthesis, quotation, nospace]
--> CRFPP Chunker train
--> Training on file={CV_TRAIN}
(TemplateFactory) parsing template: /home/czuk/nlp/eclipse/workspace_liner2/liner2_master/../models-workdir/liner2.5/liner25_model_ner_kpwr12/ini/template-jrip.txt
(TemplateFactory) Adding feature:orth:-2:-1:0:1:2
(TemplateFactory) feature:orth:-2:-1:0:1:2
(TemplateFactory) Adding feature:base:-2:-1:0:1:2
(TemplateFactory) feature:base:-2:-1:0:1:2
(TemplateFactory) Adding feature:synonym:-2:-1:0:1:2
(TemplateFactory) feature:synonym:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-1:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-2:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-2:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-3:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:class:-1:0:1
(TemplateFactory) feature:class:-1:0:1
(TemplateFactory) Adding feature:case:0
(TemplateFactory) feature:case:0
(TemplateFactory) Adding feature:gender:-2:-1:0:1:2
(TemplateFactory) feature:gender:-2:-1:0:1:2
(TemplateFactory) Adding feature:pattern:0
(TemplateFactory) feature:pattern:0
(TemplateFactory) Adding feature:prefix-1:-2:-1:0:1:2
(TemplateFactory) feature:prefix-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:prefix-3:-2:-1:0:1:2
(TemplateFactory) feature:prefix-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:prefix-4:-2:-1:0:1:2
(TemplateFactory) feature:prefix-4:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-1:-2:-1:0:1:2
(TemplateFactory) feature:suffix-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-2:-2:-1:0:1:2
(TemplateFactory) feature:suffix-2:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-3:-2:-1:0:1:2
(TemplateFactory) feature:suffix-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-4:-2:-1:0:1:2
(TemplateFactory) feature:suffix-4:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_upper_case:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_upper_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_lower_case:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_lower_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_symbol:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_symbol:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_digit:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_digit:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_upper_case:-2:-1:0:1:2
(TemplateFactory) feature:has_upper_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_lower_case:-2:-1:0:1:2
(TemplateFactory) feature:has_lower_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_symbol:-2:-1:0:1:2
(TemplateFactory) feature:has_symbol:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_digit:-2:-1:0:1:2
(TemplateFactory) feature:has_digit:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_first_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_first_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_last_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_last_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_country_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_country_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_city_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_city_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_road_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_road_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_noun:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_noun:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_suffix:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_suffix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_road_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_road_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_country_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_country_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:base:-4/dict_person_first_nam:-3/dict_person_last_nam:-2/base:-1/dict_person_last_nam:0
(TemplateFactory) feature:base:-4/dict_person_first_nam:-3/dict_person_last_nam:-2/base:-1/dict_person_last_nam:0
(TemplateFactory) Adding feature:dict_trigger_int_bloc:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_bloc:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_bloc:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_bloc:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_country:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_country:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_country:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_country:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_district:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_district:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_district:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_district:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_geogName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_geogName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_geogName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_geogName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_orgName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_orgName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_orgName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_orgName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_persName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_persName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_persName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_persName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_region:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_region:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_region:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_region:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_settlement:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_settlement:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_settlement:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_settlement:-2:-1:0:1:2
(TemplateFactory) Adding feature:agr1:-2:-1:0:1:2
(TemplateFactory) feature:agr1:-2:-1:0:1:2
(TemplateFactory) Adding feature:nospace:-2:-1:0:1:2
(TemplateFactory) feature:nospace:-2:-1:0:1:2
(TemplateFactory) Adding feature:parenthesis:-2:-1:0:1:2
(TemplateFactory) feature:parenthesis:-2:-1:0:1:2
(TemplateFactory) Adding feature:quotation:-2:-1:0:1:2
(TemplateFactory) feature:quotation:-2:-1:0:1:2
(TemplateFactory) Adding feature:length:-2:-1:0:1:2
(TemplateFactory) feature:length:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_upper_case:0/agr1:-1/pattern:2/has_upper_case:-1/case:0/number:-1
(TemplateFactory) feature:has_upper_case:0/agr1:-1/pattern:2/has_upper_case:-1/case:0/number:-1
(TemplateFactory) Adding feature:has_upper_case:0/all_digits:-1/all_upper:-2/length:1/nospace:1
(TemplateFactory) feature:has_upper_case:0/all_digits:-1/all_upper:-2/length:1/nospace:1
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/ctag:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/ctag:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/has_upper_case:1
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/has_upper_case:1
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/agr1:1/pattern:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/agr1:1/pattern:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/class:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/class:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/starts_with_digit:-2/starts_with_lower_case:1/case:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/starts_with_digit:-2/starts_with_lower_case:1/case:0
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/has_upper_case:1
(TemplateFactory) feature:has_upper_case:0/ctag:0/has_upper_case:1
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/parenthesis:0/class:2/agr1:2
(TemplateFactory) feature:has_upper_case:0/ctag:0/parenthesis:0/class:2/agr1:2
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/suffix-1:0
(TemplateFactory) feature:has_upper_case:0/ctag:0/suffix-1:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/all_upper:-2/all_alphanumeric:2/starts_with_lower_case:2/all_alphanumeric:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/all_upper:-2/all_alphanumeric:2/starts_with_lower_case:2/all_alphanumeric:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_digit:-2/has_lower_case:0/nospace:-1/nospace:-2/ctag:-1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_digit:-2/has_lower_case:0/nospace:-1/nospace:-2/ctag:-1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-1/all_alphanumeric:2/class:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-1/all_alphanumeric:2/class:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/all_letters:-1/ctag:0/all_alphanumeric:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/all_letters:-1/ctag:0/all_alphanumeric:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/length:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/length:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/starts_with_lower_case:1/orth:-1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/starts_with_lower_case:1/orth:-1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/pattern:-1/class:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/pattern:-1/class:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/pattern:1/parenthesis:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/pattern:1/parenthesis:0
(TemplateFactory) Adding feature:has_upper_case:0/starts_with_lower_case:1/case:0/orth:2
(TemplateFactory) feature:has_upper_case:0/starts_with_lower_case:1/case:0/orth:2
(TemplateFactory) Adding feature:has_upper_case:0/starts_with_lower_case:1/case:0/pattern:1/agr1:1/gender:0
(TemplateFactory) feature:has_upper_case:0/starts_with_lower_case:1/case:0/pattern:1/agr1:1/gender:0
(TemplateFactory) Adding feature:has_upper_case:-1/has_upper_case:0/nospace:-2/pattern:0
(TemplateFactory) feature:has_upper_case:-1/has_upper_case:0/nospace:-2/pattern:0
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/all_letters:1/orth:0/starts_with_lower_case:-2
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/all_letters:1/orth:0/starts_with_lower_case:-2
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/orth:0/nospace:-1
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/orth:0/nospace:-1
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/parenthesis:-2/class:-2/orth:-1
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/parenthesis:-2/class:-2/orth:-1
(TemplateFactory) Adding feature:has_upper_case:-2/has_upper_case:0/orth:-1/nospace:-2
(TemplateFactory) feature:has_upper_case:-2/has_upper_case:0/orth:-1/nospace:-2
(TemplateFactory) Adding feature:has_upper_case:-2/starts_with_upper_case:0/orth:-1
(TemplateFactory) feature:has_upper_case:-2/starts_with_upper_case:0/orth:-1
(TemplateFactory) Adding feature:starts_with_lower_case:-1/has_upper_case:0/case:-1/case:2
(TemplateFactory) feature:starts_with_lower_case:-1/has_upper_case:0/case:-1/case:2
(TemplateFactory) Adding feature:starts_with_lower_case:-1/has_upper_case:0/pattern:-1/ctag:-1/pattern:0
(TemplateFactory) feature:starts_with_lower_case:-1/has_upper_case:0/pattern:-1/ctag:-1/pattern:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_lower_case:-1/all_letters:-1/parenthesis:-2/pattern:1/length:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_lower_case:-1/all_letters:-1/parenthesis:-2/pattern:1/length:0
(TemplateFactory) Adding feature:starts_with_lower_case:-1/starts_with_upper_case:0/class:-1/agr1:0/gender:-1
(TemplateFactory) feature:starts_with_lower_case:-1/starts_with_upper_case:0/class:-1/agr1:0/gender:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/class:-2/no_letters:0/length:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/class:-2/no_letters:0/length:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/agr1:-2/ctag:-2
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/agr1:-2/ctag:-2
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/case:-1/ctag:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/case:-1/ctag:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/ctag:-2/struct:-2
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/ctag:-2/struct:-2
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/quotation:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/quotation:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/pattern:0/length:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/pattern:0/length:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/starts_with_upper_case:0/length:-1/ctag:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/starts_with_upper_case:0/length:-1/ctag:-1
(TemplateFactory) Adding feature:starts_with_upper_case:0/agr1:-1/gender:0/number:0
(TemplateFactory) feature:starts_with_upper_case:0/agr1:-1/gender:0/number:0
(TemplateFactory) Adding feature:starts_with_upper_case:0/agr1:-1/orth:-1/class:-2
(TemplateFactory) feature:starts_with_upper_case:0/agr1:-1/orth:-1/class:-2
(TemplateFactory) Adding feature:starts_with_upper_case:0/class:0/gender:0/prefix-1:0/all_alphanumeric:1
(TemplateFactory) feature:starts_with_upper_case:0/class:0/gender:0/prefix-1:0/all_alphanumeric:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/class:0/starts_with_lower_case:1/struct:2/agr1:1
(TemplateFactory) feature:starts_with_upper_case:0/class:0/starts_with_lower_case:1/struct:2/agr1:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/ctag:0/parenthesis:0/class:1
(TemplateFactory) feature:starts_with_upper_case:0/ctag:0/parenthesis:0/class:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/dict_person_first_nam:-1/class:0/parenthesis:2/ctag:0
(TemplateFactory) feature:starts_with_upper_case:0/dict_person_first_nam:-1/class:0/parenthesis:2/ctag:0
(TemplateFactory) Adding feature:starts_with_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/has_digit:-2/gender:1
(TemplateFactory) feature:starts_with_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/has_digit:-2/gender:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/starts_with_lower_case:1/case:0/suffix-2:1
(TemplateFactory) feature:starts_with_upper_case:0/starts_with_lower_case:1/case:0/suffix-2:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/starts_with_lower_case:1/pattern:1/length:2/nospace:1/case:0/ctag:2
(TemplateFactory) feature:starts_with_upper_case:0/starts_with_lower_case:1/pattern:1/length:2/nospace:1/case:0/ctag:2
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_lower_case:1/all_digits:-2/has_upper_case:1/orth:0
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_lower_case:1/all_digits:-2/has_upper_case:1/orth:0
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_lower_case:1/starts_with_upper_case:0/nospace:2/gender:-1
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_lower_case:1/starts_with_upper_case:0/nospace:2/gender:-1
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/agr1:1/has_lower_case:2
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/agr1:1/has_lower_case:2
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/nospace:0
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/nospace:0
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/pattern:2/suffix-1:-1
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/pattern:2/suffix-1:-1
Loading training data for CRF from document:00100527
STORE TRAINING DATA IN: /tmp/crf_iob177815748445624827.txt
Loading training data for CRF from document:00100531
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Loading training data for CRF from document:00103876
Loading training data for CRF from document:00103925
Loading training data for CRF from document:00107241
Loading training data for CRF from document:00107272
Loading training data for CRF from document:00107297
Loading training data for CRF from document:00107312
Loading training data for CRF from document:00107362
Training CRF classifer using features:
orth[-2]
orth[-1]
orth[0]
orth[1]
orth[2]
base[-2]
base[-1]
base[0]
base[1]
base[2]
synonym[-2]
synonym[-1]
synonym[0]
synonym[1]
synonym[2]
hypernym-1[-2]
hypernym-1[-1]
hypernym-1[0]
hypernym-1[1]
hypernym-1[2]
hypernym-2[-2]
hypernym-2[-1]
hypernym-2[0]
hypernym-2[1]
hypernym-2[2]
hypernym-3[-2]
hypernym-3[-1]
hypernym-3[0]
hypernym-3[1]
hypernym-3[2]
class[-1]
class[0]
class[1]
case[0]
gender[-2]
gender[-1]
gender[0]
gender[1]
gender[2]
pattern[0]
prefix-1[-2]
prefix-1[-1]
prefix-1[0]
prefix-1[1]
prefix-1[2]
prefix-3[-2]
prefix-3[-1]
prefix-3[0]
prefix-3[1]
prefix-3[2]
prefix-4[-2]
prefix-4[-1]
prefix-4[0]
prefix-4[1]
prefix-4[2]
suffix-1[-2]
suffix-1[-1]
suffix-1[0]
suffix-1[1]
suffix-1[2]
suffix-2[-2]
suffix-2[-1]
suffix-2[0]
suffix-2[1]
suffix-2[2]
suffix-3[-2]
suffix-3[-1]
suffix-3[0]
suffix-3[1]
suffix-3[2]
suffix-4[-2]
suffix-4[-1]
suffix-4[0]
suffix-4[1]
suffix-4[2]
starts_with_upper_case[-2]
starts_with_upper_case[-1]
starts_with_upper_case[0]
starts_with_upper_case[1]
starts_with_upper_case[2]
starts_with_lower_case[-2]
starts_with_lower_case[-1]
starts_with_lower_case[0]
starts_with_lower_case[1]
starts_with_lower_case[2]
starts_with_symbol[-2]
starts_with_symbol[-1]
starts_with_symbol[0]
starts_with_symbol[1]
starts_with_symbol[2]
starts_with_digit[-2]
starts_with_digit[-1]
starts_with_digit[0]
starts_with_digit[1]
starts_with_digit[2]
has_upper_case[-2]
has_upper_case[-1]
has_upper_case[0]
has_upper_case[1]
has_upper_case[2]
has_lower_case[-2]
has_lower_case[-1]
has_lower_case[0]
has_lower_case[1]
has_lower_case[2]
has_symbol[-2]
has_symbol[-1]
has_symbol[0]
has_symbol[1]
has_symbol[2]
has_digit[-2]
has_digit[-1]
has_digit[0]
has_digit[1]
has_digit[2]
dict_person_first_nam[-2]
dict_person_first_nam[-1]
dict_person_first_nam[0]
dict_person_first_nam[1]
dict_person_first_nam[2]
dict_person_last_nam[-2]
dict_person_last_nam[-1]
dict_person_last_nam[0]
dict_person_last_nam[1]
dict_person_last_nam[2]
dict_country_nam[-2]
dict_country_nam[-1]
dict_country_nam[0]
dict_country_nam[1]
dict_country_nam[2]
dict_city_nam[-2]
dict_city_nam[-1]
dict_city_nam[0]
dict_city_nam[1]
dict_city_nam[2]
dict_road_nam[-2]
dict_road_nam[-1]
dict_road_nam[0]
dict_road_nam[1]
dict_road_nam[2]
dict_person_prefix[-2]
dict_person_prefix[-1]
dict_person_prefix[0]
dict_person_prefix[1]
dict_person_prefix[2]
dict_person_noun[-2]
dict_person_noun[-1]
dict_person_noun[0]
dict_person_noun[1]
dict_person_noun[2]
dict_person_suffix[-2]
dict_person_suffix[-1]
dict_person_suffix[0]
dict_person_suffix[1]
dict_person_suffix[2]
dict_road_prefix[-2]
dict_road_prefix[-1]
dict_road_prefix[0]
dict_road_prefix[1]
dict_road_prefix[2]
dict_country_prefix[-2]
dict_country_prefix[-1]
dict_country_prefix[0]
dict_country_prefix[1]
dict_country_prefix[2]
base[-4]_dict_person_first_nam[-3]_dict_person_last_nam[-2]_base[-1]_dict_person_last_nam[0]
dict_trigger_int_bloc[-2]
dict_trigger_int_bloc[-1]
dict_trigger_int_bloc[0]
dict_trigger_int_bloc[1]
dict_trigger_int_bloc[2]
dict_trigger_ext_bloc[-2]
dict_trigger_ext_bloc[-1]
dict_trigger_ext_bloc[0]
dict_trigger_ext_bloc[1]
dict_trigger_ext_bloc[2]
dict_trigger_int_country[-2]
dict_trigger_int_country[-1]
dict_trigger_int_country[0]
dict_trigger_int_country[1]
dict_trigger_int_country[2]
dict_trigger_ext_country[-2]
dict_trigger_ext_country[-1]
dict_trigger_ext_country[0]
dict_trigger_ext_country[1]
dict_trigger_ext_country[2]
dict_trigger_int_district[-2]
dict_trigger_int_district[-1]
dict_trigger_int_district[0]
dict_trigger_int_district[1]
dict_trigger_int_district[2]
dict_trigger_ext_district[-2]
dict_trigger_ext_district[-1]
dict_trigger_ext_district[0]
dict_trigger_ext_district[1]
dict_trigger_ext_district[2]
dict_trigger_int_geogName[-2]
dict_trigger_int_geogName[-1]
dict_trigger_int_geogName[0]
dict_trigger_int_geogName[1]
dict_trigger_int_geogName[2]
dict_trigger_ext_geogName[-2]
dict_trigger_ext_geogName[-1]
dict_trigger_ext_geogName[0]
dict_trigger_ext_geogName[1]
dict_trigger_ext_geogName[2]
dict_trigger_int_orgName[-2]
dict_trigger_int_orgName[-1]
dict_trigger_int_orgName[0]
dict_trigger_int_orgName[1]
dict_trigger_int_orgName[2]
dict_trigger_ext_orgName[-2]
dict_trigger_ext_orgName[-1]
dict_trigger_ext_orgName[0]
dict_trigger_ext_orgName[1]
dict_trigger_ext_orgName[2]
dict_trigger_int_persName[-2]
dict_trigger_int_persName[-1]
dict_trigger_int_persName[0]
dict_trigger_int_persName[1]
dict_trigger_int_persName[2]
dict_trigger_ext_persName[-2]
dict_trigger_ext_persName[-1]
dict_trigger_ext_persName[0]
dict_trigger_ext_persName[1]
dict_trigger_ext_persName[2]
dict_trigger_int_region[-2]
dict_trigger_int_region[-1]
dict_trigger_int_region[0]
dict_trigger_int_region[1]
dict_trigger_int_region[2]
dict_trigger_ext_region[-2]
dict_trigger_ext_region[-1]
dict_trigger_ext_region[0]
dict_trigger_ext_region[1]
dict_trigger_ext_region[2]
dict_trigger_int_settlement[-2]
dict_trigger_int_settlement[-1]
dict_trigger_int_settlement[0]
dict_trigger_int_settlement[1]
dict_trigger_int_settlement[2]
dict_trigger_ext_settlement[-2]
dict_trigger_ext_settlement[-1]
dict_trigger_ext_settlement[0]
dict_trigger_ext_settlement[1]
dict_trigger_ext_settlement[2]
agr1[-2]
agr1[-1]
agr1[0]
agr1[1]
agr1[2]
nospace[-2]
nospace[-1]
nospace[0]
nospace[1]
nospace[2]
parenthesis[-2]
parenthesis[-1]
parenthesis[0]
parenthesis[1]
parenthesis[2]
quotation[-2]
quotation[-1]
quotation[0]
quotation[1]
quotation[2]
length[-2]
length[-1]
length[0]
length[1]
length[2]
has_upper_case[0]_agr1[-1]_pattern[2]_has_upper_case[-1]_case[0]_number[-1]
has_upper_case[0]_all_digits[-1]_all_upper[-2]_length[1]_nospace[1]
has_upper_case[0]_all_upper[-1]_pattern[-1]_ctag[0]
has_upper_case[0]_all_upper[-1]_pattern[-1]_has_upper_case[1]
has_upper_case[0]_all_upper[-1]_pattern[-1]_pattern[-2]_agr1[1]_pattern[0]
has_upper_case[0]_all_upper[-1]_pattern[-1]_pattern[-2]_class[0]
has_upper_case[0]_all_upper[-1]_starts_with_digit[-2]_starts_with_lower_case[1]_case[0]
has_upper_case[0]_ctag[0]_has_upper_case[1]
has_upper_case[0]_ctag[0]_parenthesis[0]_class[2]_agr1[2]
has_upper_case[0]_ctag[0]_suffix-1[0]
has_upper_case[0]_dict_person_first_nam[-1]_all_upper[-2]_all_alphanumeric[2]_starts_with_lower_case[2]_all_alphanumeric[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_digit[-2]_has_lower_case[0]_nospace[-1]_nospace[-2]_ctag[-1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-1]_all_alphanumeric[2]_class[0]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[2]_all_letters[-1]_ctag[0]_all_alphanumeric[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-2]_length[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-2]_starts_with_lower_case[1]_orth[-1]
has_upper_case[0]_dict_person_first_nam[-1]_pattern[-1]_class[0]
has_upper_case[0]_dict_person_first_nam[-1]_pattern[1]_parenthesis[0]
has_upper_case[0]_starts_with_lower_case[1]_case[0]_orth[2]
has_upper_case[0]_starts_with_lower_case[1]_case[0]_pattern[1]_agr1[1]_gender[0]
has_upper_case[-1]_has_upper_case[0]_nospace[-2]_pattern[0]
has_upper_case[-1]_starts_with_lower_case[1]_all_letters[1]_orth[0]_starts_with_lower_case[-2]
has_upper_case[-1]_starts_with_lower_case[1]_orth[0]_nospace[-1]
has_upper_case[-1]_starts_with_lower_case[1]_parenthesis[-2]_class[-2]_orth[-1]
has_upper_case[-2]_has_upper_case[0]_orth[-1]_nospace[-2]
has_upper_case[-2]_starts_with_upper_case[0]_orth[-1]
starts_with_lower_case[-1]_has_upper_case[0]_case[-1]_case[2]
starts_with_lower_case[-1]_has_upper_case[0]_pattern[-1]_ctag[-1]_pattern[0]
starts_with_lower_case[1]_starts_with_lower_case[-1]_all_letters[-1]_parenthesis[-2]_pattern[1]_length[0]
starts_with_lower_case[-1]_starts_with_upper_case[0]_class[-1]_agr1[0]_gender[-1]
starts_with_lower_case[1]_starts_with_upper_case[-1]_class[-2]_no_letters[0]_length[0]
starts_with_lower_case[1]_starts_with_upper_case[-1]_parenthesis[-2]_agr1[-2]_ctag[-2]
starts_with_lower_case[1]_starts_with_upper_case[-1]_parenthesis[-2]_case[-1]_ctag[0]
starts_with_lower_case[1]_starts_with_upper_case[-2]_agr1[-2]_ctag[-2]_struct[-2]
starts_with_lower_case[1]_starts_with_upper_case[-2]_agr1[-2]_quotation[-1]
starts_with_lower_case[1]_starts_with_upper_case[-2]_pattern[0]_length[-1]
starts_with_lower_case[1]_starts_with_upper_case[-2]_starts_with_upper_case[0]_length[-1]_ctag[-1]
starts_with_upper_case[0]_agr1[-1]_gender[0]_number[0]
starts_with_upper_case[0]_agr1[-1]_orth[-1]_class[-2]
starts_with_upper_case[0]_class[0]_gender[0]_prefix-1[0]_all_alphanumeric[1]
starts_with_upper_case[0]_class[0]_starts_with_lower_case[1]_struct[2]_agr1[1]
starts_with_upper_case[0]_ctag[0]_parenthesis[0]_class[1]
starts_with_upper_case[0]_dict_person_first_nam[-1]_class[0]_parenthesis[2]_ctag[0]
starts_with_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[2]_has_digit[-2]_gender[1]
starts_with_upper_case[0]_starts_with_lower_case[1]_case[0]_suffix-2[1]
starts_with_upper_case[0]_starts_with_lower_case[1]_pattern[1]_length[2]_nospace[1]_case[0]_ctag[2]
starts_with_upper_case[-1]_starts_with_lower_case[1]_all_digits[-2]_has_upper_case[1]_orth[0]
starts_with_upper_case[-1]_starts_with_lower_case[1]_starts_with_upper_case[0]_nospace[2]_gender[-1]
starts_with_upper_case[-1]_starts_with_upper_case[0]_all_upper[-2]_agr1[1]_has_lower_case[2]
starts_with_upper_case[-1]_starts_with_upper_case[0]_all_upper[-2]_nospace[0]
starts_with_upper_case[-1]_starts_with_upper_case[0]_pattern[2]_suffix-1[-1]

CRF++: Yet Another CRF Tool Kit
Copyright (C) 2005-2012 Taku Kudo, All rights reserved.

reading training data: 100.. 200.. 300.. 400.. 500.. 600.. 700.. 800.. 900.. 1000.. 1100.. 1200.. 1300.. 1400.. 1500.. 1600.. 1700.. 1800.. 1900.. 2000.. 2100.. 2200.. 2300.. 2400.. 2500.. 2600.. 2700.. 2800.. 2900.. 3000.. 3100.. 3200.. 3300.. 3400.. 3500.. 3600.. 3700.. 3800.. 3900.. 4000.. 4100.. 4200.. 4300.. 4400.. 4500.. 4600.. 4700.. 4800.. 4900.. 5000.. 5100.. 5200.. 5300.. 5400.. 5500.. 5600.. 5700.. 5800.. 5900.. 6000.. 6100.. 6200.. 6300.. 6400.. 6500.. 6600.. 6700.. 6800.. 6900.. 7000.. 7100.. 7200.. 7300.. 7400.. 7500.. 7600.. 7700.. 7800.. 7900.. 8000.. 8100.. 8200.. 8300.. 8400.. 8500.. 8600.. 8700.. 8800.. 8900.. 9000.. 9100.. 9200.. 9300.. 9400.. 
Done!36.84 s

Number of sentences: 9489
Number of features:  919593
Number of thread(s): 7
Freq:                5
eta:                 0.00010
C:                   1.00000
shrinking size:      20
iter=0 terr=0.94593 serr=0.99715 act=919593 obj=169442.26912 diff=1.00000
iter=1 terr=0.09432 serr=0.45242 act=919593 obj=209534.23549 diff=0.23661
iter=2 terr=0.09432 serr=0.45242 act=919593 obj=73666.60716 diff=0.64843
iter=3 terr=0.09432 serr=0.45242 act=919593 obj=66264.27454 diff=0.10048
iter=4 terr=0.86315 serr=0.96733 act=919593 obj=200444.93078 diff=2.02493
iter=5 terr=0.09432 serr=0.45242 act=919593 obj=54685.90761 diff=0.72718
iter=6 terr=0.09432 serr=0.45242 act=919593 obj=53590.63766 diff=0.02003
iter=7 terr=0.09432 serr=0.45242 act=919593 obj=51366.91989 diff=0.04149
iter=8 terr=0.09432 serr=0.45242 act=919593 obj=48784.07630 diff=0.05028
iter=9 terr=0.08156 serr=0.42333 act=919593 obj=39424.27704 diff=0.19186
iter=10 terr=0.05783 serr=0.37464 act=919593 obj=31426.38969 diff=0.20287
iter=11 terr=0.04234 serr=0.31247 act=919593 obj=25891.75204 diff=0.17611
iter=12 terr=0.03956 serr=0.27537 act=919593 obj=22592.22821 diff=0.12744
iter=13 terr=0.03840 serr=0.27158 act=919593 obj=21683.67661 diff=0.04022
iter=14 terr=0.03798 serr=0.26673 act=919593 obj=20803.80812 diff=0.04058
iter=15 terr=0.03829 serr=0.26462 act=919593 obj=20042.72026 diff=0.03658
iter=16 terr=0.03721 serr=0.25071 act=919593 obj=19199.22852 diff=0.04208
iter=17 terr=0.03700 serr=0.24871 act=919593 obj=18457.55289 diff=0.03863
iter=18 terr=0.04190 serr=0.30066 act=919593 obj=18214.74284 diff=0.01316
iter=19 terr=0.03651 serr=0.24365 act=919593 obj=17615.43568 diff=0.03290
iter=20 terr=0.03574 serr=0.24829 act=919593 obj=16899.69136 diff=0.04063
iter=21 terr=0.03477 serr=0.24059 act=919593 obj=16115.89165 diff=0.04638
iter=22 terr=0.03461 serr=0.22826 act=919593 obj=15537.69537 diff=0.03588
iter=23 terr=0.03405 serr=0.22869 act=919593 obj=15125.96391 diff=0.02650
iter=24 terr=0.03373 serr=0.24249 act=919593 obj=15006.32240 diff=0.00791
iter=25 terr=0.03283 serr=0.23006 act=919593 obj=13938.91110 diff=0.07113
iter=26 terr=0.03299 serr=0.23111 act=919593 obj=13618.67567 diff=0.02297
iter=27 terr=0.03206 serr=0.22784 act=919593 obj=13331.16052 diff=0.02111
iter=28 terr=0.03145 serr=0.23322 act=919593 obj=12755.58078 diff=0.04318
iter=29 terr=0.03156 serr=0.23122 act=919593 obj=12033.79687 diff=0.05659
iter=30 terr=0.03148 serr=0.22500 act=919593 obj=11550.67778 diff=0.04015
iter=31 terr=0.02950 serr=0.21783 act=919593 obj=11216.20625 diff=0.02896
iter=32 terr=0.02926 serr=0.21509 act=919593 obj=10992.53116 diff=0.01994
iter=33 terr=0.02901 serr=0.21319 act=919593 obj=10876.02661 diff=0.01060
iter=34 terr=0.02731 serr=0.19865 act=919593 obj=10180.16076 diff=0.06398
iter=35 terr=0.03097 serr=0.20750 act=919593 obj=10425.32187 diff=0.02408
iter=36 terr=0.02655 serr=0.19444 act=919593 obj=9853.91535 diff=0.05481
iter=37 terr=0.02599 serr=0.19043 act=919593 obj=9463.33745 diff=0.03964
iter=38 terr=0.02569 serr=0.19075 act=919593 obj=9275.51324 diff=0.01985
iter=39 terr=0.02566 serr=0.19170 act=919593 obj=9155.52990 diff=0.01294
iter=40 terr=0.02523 serr=0.19191 act=919593 obj=8966.15127 diff=0.02068
iter=41 terr=0.02503 serr=0.19148 act=919593 obj=8704.19339 diff=0.02922
iter=42 terr=0.02561 serr=0.19033 act=919593 obj=8603.55513 diff=0.01156
iter=43 terr=0.02422 serr=0.18274 act=919593 obj=8212.11386 diff=0.04550
iter=44 terr=0.02317 serr=0.17473 act=919593 obj=7955.18454 diff=0.03129
iter=45 terr=0.02321 serr=0.17389 act=919593 obj=7860.03774 diff=0.01196
iter=46 terr=0.02447 serr=0.18885 act=919593 obj=7958.83212 diff=0.01257
iter=47 terr=0.02324 serr=0.17715 act=919593 obj=7664.30523 diff=0.03701
iter=48 terr=0.02206 serr=0.16482 act=919593 obj=7298.91831 diff=0.04767
iter=49 terr=0.02169 serr=0.16187 act=919593 obj=7126.63667 diff=0.02360
iter=50 terr=0.02110 serr=0.15745 act=919593 obj=6897.73529 diff=0.03212
iter=51 terr=0.06934 serr=0.34524 act=919593 obj=28800.32190 diff=3.17533
iter=52 terr=0.02103 serr=0.15913 act=919593 obj=6881.41732 diff=0.76106
iter=53 terr=0.02024 serr=0.15608 act=919593 obj=6752.18241 diff=0.01878
iter=54 terr=0.01958 serr=0.15017 act=919593 obj=6637.55922 diff=0.01698
iter=55 terr=0.01911 serr=0.14944 act=919593 obj=6520.55338 diff=0.01763
iter=56 terr=0.01896 serr=0.14680 act=919593 obj=6381.95092 diff=0.02126
iter=57 terr=0.01858 serr=0.14554 act=919593 obj=6213.81969 diff=0.02634
iter=58 terr=0.01839 serr=0.14575 act=919593 obj=6061.37766 diff=0.02453
iter=59 terr=0.02051 serr=0.14796 act=919593 obj=6290.34572 diff=0.03777
iter=60 terr=0.01806 serr=0.14385 act=919593 obj=6025.09424 diff=0.04217
iter=61 terr=0.01801 serr=0.14353 act=919593 obj=5996.23893 diff=0.00479
iter=62 terr=0.01815 serr=0.14259 act=919593 obj=5969.93660 diff=0.00439
iter=63 terr=0.01795 serr=0.13985 act=919593 obj=5908.85655 diff=0.01023
iter=64 terr=0.01782 serr=0.13816 act=919593 obj=5821.50349 diff=0.01478
iter=65 terr=0.01793 serr=0.13574 act=919593 obj=5656.78354 diff=0.02830
iter=66 terr=0.01734 serr=0.13142 act=919593 obj=5546.72846 diff=0.01946
iter=67 terr=0.01761 serr=0.13099 act=919593 obj=5421.51975 diff=0.02257
iter=68 terr=0.01738 serr=0.13173 act=919593 obj=5371.71516 diff=0.00919
iter=69 terr=0.01670 serr=0.13205 act=919593 obj=5323.98786 diff=0.00888
iter=70 terr=0.01606 serr=0.13047 act=919593 obj=5270.00810 diff=0.01014
iter=71 terr=0.01576 serr=0.13036 act=919593 obj=5191.22244 diff=0.01495
iter=72 terr=0.01558 serr=0.12910 act=919593 obj=5100.19934 diff=0.01753
iter=73 terr=0.01581 serr=0.12425 act=919593 obj=5104.07486 diff=0.00076
iter=74 terr=0.01541 serr=0.12625 act=919593 obj=5062.13242 diff=0.00822
iter=75 terr=0.01503 serr=0.12309 act=919593 obj=5015.40384 diff=0.00923
iter=76 terr=0.01509 serr=0.12151 act=919593 obj=4989.52456 diff=0.00516
iter=77 terr=0.01497 serr=0.12067 act=919593 obj=4966.28661 diff=0.00466
iter=78 terr=0.01525 serr=0.11951 act=919593 obj=4900.54483 diff=0.01324
iter=79 terr=0.01530 serr=0.11793 act=919593 obj=4819.07823 diff=0.01662
iter=80 terr=0.01808 serr=0.13152 act=919593 obj=5164.75658 diff=0.07173
iter=81 terr=0.01579 serr=0.11835 act=919593 obj=4800.41794 diff=0.07054
iter=82 terr=0.01514 serr=0.11603 act=919593 obj=4722.70835 diff=0.01619
iter=83 terr=0.01471 serr=0.11571 act=919593 obj=4669.95223 diff=0.01117
iter=84 terr=0.01428 serr=0.11571 act=919593 obj=4627.35356 diff=0.00912
iter=85 terr=0.01398 serr=0.11403 act=919593 obj=4575.95076 diff=0.01111
iter=86 terr=0.01345 serr=0.11266 act=919593 obj=4486.00102 diff=0.01966
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iter=305 terr=0.00007 serr=0.00084 act=919593 obj=816.33009 diff=0.00072
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iter=310 terr=0.00006 serr=0.00074 act=919593 obj=812.95810 diff=0.00153
iter=311 terr=0.00006 serr=0.00074 act=919593 obj=811.10114 diff=0.00228
iter=312 terr=0.00006 serr=0.00063 act=919593 obj=811.26292 diff=0.00020
iter=313 terr=0.00006 serr=0.00063 act=919593 obj=809.54941 diff=0.00211
iter=314 terr=0.00006 serr=0.00063 act=919593 obj=807.95211 diff=0.00197
iter=315 terr=0.00006 serr=0.00063 act=919593 obj=807.50073 diff=0.00056
iter=316 terr=0.00006 serr=0.00074 act=919593 obj=808.22882 diff=0.00090
iter=317 terr=0.00006 serr=0.00063 act=919593 obj=806.71020 diff=0.00188
iter=318 terr=0.00006 serr=0.00063 act=919593 obj=805.57191 diff=0.00141
iter=319 terr=0.00006 serr=0.00063 act=919593 obj=804.32457 diff=0.00155
iter=320 terr=0.00006 serr=0.00063 act=919593 obj=803.05053 diff=0.00158
iter=321 terr=0.00006 serr=0.00063 act=919593 obj=804.60209 diff=0.00193
iter=322 terr=0.00006 serr=0.00063 act=919593 obj=802.54262 diff=0.00256
iter=323 terr=0.00006 serr=0.00063 act=919593 obj=801.44342 diff=0.00137
iter=324 terr=0.00006 serr=0.00063 act=919593 obj=800.60471 diff=0.00105
iter=325 terr=0.00006 serr=0.00063 act=919593 obj=799.72684 diff=0.00110
iter=326 terr=0.00006 serr=0.00063 act=919593 obj=798.86755 diff=0.00107
iter=327 terr=0.00006 serr=0.00063 act=919593 obj=797.83263 diff=0.00130
iter=328 terr=0.00006 serr=0.00063 act=919593 obj=796.67166 diff=0.00146
iter=329 terr=0.00006 serr=0.00074 act=919593 obj=795.85136 diff=0.00103
iter=330 terr=0.00006 serr=0.00063 act=919593 obj=795.31463 diff=0.00067
iter=331 terr=0.00006 serr=0.00063 act=919593 obj=794.20096 diff=0.00140
iter=332 terr=0.00006 serr=0.00063 act=919593 obj=793.80796 diff=0.00049
iter=333 terr=0.00006 serr=0.00074 act=919593 obj=793.29504 diff=0.00065
iter=334 terr=0.00006 serr=0.00063 act=919593 obj=792.72329 diff=0.00072
iter=335 terr=0.00006 serr=0.00063 act=919593 obj=792.15651 diff=0.00071
iter=336 terr=0.00006 serr=0.00063 act=919593 obj=791.03751 diff=0.00141
iter=337 terr=0.00006 serr=0.00074 act=919593 obj=794.74359 diff=0.00469
iter=338 terr=0.00006 serr=0.00063 act=919593 obj=790.85523 diff=0.00489
iter=339 terr=0.00006 serr=0.00063 act=919593 obj=790.50378 diff=0.00044
iter=340 terr=0.00006 serr=0.00063 act=919593 obj=790.03040 diff=0.00060
iter=341 terr=0.00006 serr=0.00063 act=919593 obj=789.09892 diff=0.00118
iter=342 terr=0.00006 serr=0.00063 act=919593 obj=788.41803 diff=0.00086
iter=343 terr=0.00006 serr=0.00074 act=919593 obj=787.30167 diff=0.00142
iter=344 terr=0.00006 serr=0.00074 act=919593 obj=787.86288 diff=0.00071
iter=345 terr=0.00006 serr=0.00074 act=919593 obj=786.52370 diff=0.00170
iter=346 terr=0.00006 serr=0.00063 act=919593 obj=785.69718 diff=0.00105
iter=347 terr=0.00006 serr=0.00063 act=919593 obj=784.86601 diff=0.00106
iter=348 terr=0.00006 serr=0.00063 act=919593 obj=784.61901 diff=0.00031
iter=349 terr=0.00006 serr=0.00063 act=919593 obj=784.32259 diff=0.00038
iter=350 terr=0.00006 serr=0.00063 act=919593 obj=783.88396 diff=0.00056
iter=351 terr=0.00006 serr=0.00063 act=919593 obj=782.97485 diff=0.00116
iter=352 terr=0.00006 serr=0.00063 act=919593 obj=782.50132 diff=0.00060
iter=353 terr=0.00006 serr=0.00063 act=919593 obj=781.97768 diff=0.00067
iter=354 terr=0.00006 serr=0.00063 act=919593 obj=781.70453 diff=0.00035
iter=355 terr=0.00006 serr=0.00063 act=919593 obj=781.47141 diff=0.00030
iter=356 terr=0.00006 serr=0.00063 act=919593 obj=781.15846 diff=0.00040
iter=357 terr=0.00006 serr=0.00063 act=919593 obj=780.67286 diff=0.00062
iter=358 terr=0.00006 serr=0.00063 act=919593 obj=779.80504 diff=0.00111
iter=359 terr=0.00006 serr=0.00063 act=919593 obj=779.16524 diff=0.00082
iter=360 terr=0.00006 serr=0.00063 act=919593 obj=778.85941 diff=0.00039
iter=361 terr=0.00006 serr=0.00063 act=919593 obj=778.18694 diff=0.00086
iter=362 terr=0.00006 serr=0.00063 act=919593 obj=777.01673 diff=0.00150
iter=363 terr=0.00006 serr=0.00063 act=919593 obj=778.04297 diff=0.00132
iter=364 terr=0.00006 serr=0.00063 act=919593 obj=776.55095 diff=0.00192
iter=365 terr=0.00006 serr=0.00063 act=919593 obj=776.26827 diff=0.00036
iter=366 terr=0.00006 serr=0.00063 act=919593 obj=775.95640 diff=0.00040
iter=367 terr=0.00006 serr=0.00063 act=919593 obj=776.60052 diff=0.00083
iter=368 terr=0.00006 serr=0.00063 act=919593 obj=775.71238 diff=0.00114
iter=369 terr=0.00006 serr=0.00063 act=919593 obj=775.42678 diff=0.00037
iter=370 terr=0.00006 serr=0.00063 act=919593 obj=775.05102 diff=0.00048
iter=371 terr=0.00006 serr=0.00063 act=919593 obj=774.89008 diff=0.00021
iter=372 terr=0.00006 serr=0.00063 act=919593 obj=774.44742 diff=0.00057
iter=373 terr=0.00006 serr=0.00063 act=919593 obj=774.24232 diff=0.00026
iter=374 terr=0.00006 serr=0.00063 act=919593 obj=773.43578 diff=0.00104
iter=375 terr=0.00006 serr=0.00063 act=919593 obj=772.98449 diff=0.00058
iter=376 terr=0.00006 serr=0.00063 act=919593 obj=772.63932 diff=0.00045
iter=377 terr=0.00006 serr=0.00063 act=919593 obj=772.16002 diff=0.00062
iter=378 terr=0.00006 serr=0.00063 act=919593 obj=771.66892 diff=0.00064
iter=379 terr=0.00006 serr=0.00063 act=919593 obj=770.99783 diff=0.00087
iter=380 terr=0.00006 serr=0.00074 act=919593 obj=770.40394 diff=0.00077
iter=381 terr=0.00006 serr=0.00074 act=919593 obj=770.09734 diff=0.00040
iter=382 terr=0.00006 serr=0.00074 act=919593 obj=769.85535 diff=0.00031
iter=383 terr=0.00006 serr=0.00074 act=919593 obj=769.66807 diff=0.00024
iter=384 terr=0.00006 serr=0.00074 act=919593 obj=769.21664 diff=0.00059
iter=385 terr=0.00006 serr=0.00074 act=919593 obj=768.92562 diff=0.00038
iter=386 terr=0.00006 serr=0.00074 act=919593 obj=768.69290 diff=0.00030
iter=387 terr=0.00006 serr=0.00074 act=919593 obj=768.59360 diff=0.00013
iter=388 terr=0.00006 serr=0.00074 act=919593 obj=768.34560 diff=0.00032
iter=389 terr=0.00006 serr=0.00063 act=919593 obj=768.03522 diff=0.00040
iter=390 terr=0.00006 serr=0.00074 act=919593 obj=767.69111 diff=0.00045
iter=391 terr=0.00006 serr=0.00074 act=919593 obj=767.43814 diff=0.00033
iter=392 terr=0.00006 serr=0.00063 act=919593 obj=767.44910 diff=0.00001
iter=393 terr=0.00006 serr=0.00063 act=919593 obj=767.25889 diff=0.00025
iter=394 terr=0.00006 serr=0.00063 act=919593 obj=767.02212 diff=0.00031
iter=395 terr=0.00006 serr=0.00063 act=919593 obj=766.89174 diff=0.00017
iter=396 terr=0.00006 serr=0.00063 act=919593 obj=766.47710 diff=0.00054
iter=397 terr=0.00006 serr=0.00063 act=919593 obj=766.03835 diff=0.00057
iter=398 terr=0.00006 serr=0.00063 act=919593 obj=766.35842 diff=0.00042
iter=399 terr=0.00006 serr=0.00063 act=919593 obj=765.77993 diff=0.00075
iter=400 terr=0.00006 serr=0.00063 act=919593 obj=765.41275 diff=0.00048
iter=401 terr=0.00006 serr=0.00063 act=919593 obj=765.39016 diff=0.00003
iter=402 terr=0.00006 serr=0.00063 act=919593 obj=765.28187 diff=0.00014
iter=403 terr=0.00006 serr=0.00063 act=919593 obj=765.24872 diff=0.00004
iter=404 terr=0.00006 serr=0.00063 act=919593 obj=765.09759 diff=0.00020
iter=405 terr=0.00006 serr=0.00063 act=919593 obj=764.77014 diff=0.00043
iter=406 terr=0.00006 serr=0.00063 act=919593 obj=764.76743 diff=0.00000
iter=407 terr=0.00006 serr=0.00063 act=919593 obj=764.57774 diff=0.00025
iter=408 terr=0.00006 serr=0.00063 act=919593 obj=764.31645 diff=0.00034
iter=409 terr=0.00006 serr=0.00063 act=919593 obj=764.07809 diff=0.00031
iter=410 terr=0.00006 serr=0.00063 act=919593 obj=763.96430 diff=0.00015
iter=411 terr=0.00006 serr=0.00063 act=919593 obj=763.70469 diff=0.00034
iter=412 terr=0.00006 serr=0.00063 act=919593 obj=763.60393 diff=0.00013
iter=413 terr=0.00006 serr=0.00063 act=919593 obj=763.45889 diff=0.00019
iter=414 terr=0.00006 serr=0.00063 act=919593 obj=763.21300 diff=0.00032
iter=415 terr=0.00006 serr=0.00063 act=919593 obj=764.35000 diff=0.00149
iter=416 terr=0.00006 serr=0.00063 act=919593 obj=763.13678 diff=0.00159
iter=417 terr=0.00006 serr=0.00063 act=919593 obj=762.93931 diff=0.00026
iter=418 terr=0.00006 serr=0.00063 act=919593 obj=762.84191 diff=0.00013
iter=419 terr=0.00006 serr=0.00074 act=919593 obj=762.75661 diff=0.00011
iter=420 terr=0.00006 serr=0.00063 act=919593 obj=762.70120 diff=0.00007
iter=421 terr=0.00006 serr=0.00063 act=919593 obj=762.65780 diff=0.00006
iter=422 terr=0.00006 serr=0.00063 act=919593 obj=762.61228 diff=0.00006

Done!735.48 s

-> Setting up chunker: chunker_cp
--> Chunk propagation
2017-06-14 20:20:26,643 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100514.xml
(ChunkerEvaluator) Sentence #1 from 00100514 from sent1

Text  : Hristo Zlatanov
Tokens: 1_____ 2_______

Chunks:
  TruePositive nam [1,2] = Hristo Zlatanov (confidence=0.96)

(ChunkerEvaluator) Sentence #2 from 00100514 from sent2

Text  : Hristo Zlatanov ( ur . 21 kwietnia 1976 roku w_ Sofii )_ –_ siatkarz reprezentacji Włoch bułgarskiego pochodzenia ._
Tokens: 1_____ 2_______ 3 4_ 5 6_ 7_______ 8___ 9___ 10 11___ 12 13 14______ 15___________ 16___ 17__________ 18_________ 19

Chunks:
  TruePositive nam [1,2] = Hristo Zlatanov (confidence=0.99)
  TruePositive nam [11,11] = Sofii (confidence=1.00)
  TruePositive nam [16,16] = Włoch (confidence=1.00)

(ChunkerEvaluator) Sentence #3 from 00100514 from sent3

Text  : Obecnie występuje w Serie A , w drużynie Copra Berni Piacenza ._
Tokens: 1______ 2________ 3 4____ 5 6 7 8_______ 9____ 10___ 11______ 12

Chunks:
  TruePositive nam [4,5] = Serie A (confidence=1.00)
  TruePositive nam [9,11] = Copra Berni Piacenza (confidence=0.99)

(ChunkerEvaluator) Sentence #4 from 00100514 from sent4

Text  : Gra na pozycji przyjmującego .
Tokens: 1__ 2_ 3______ 4____________ 5

Chunks:

(ChunkerEvaluator) Sentence #5 from 00100514 from sent5

Text  : Kariera
Tokens: 1______

Chunks:

(ChunkerEvaluator) Sentence #6 from 00100514 from sent6

Text  : 1993 - 1994 Milan Volley
Tokens: 1___ 2 3___ 4____ 5_____

Chunks:
  TruePositive nam [4,5] = Milan Volley (confidence=0.98)

(ChunkerEvaluator) Sentence #7 from 00100514 from sent7

Text  : 1994 - 1996 Edilcuoghi Ravenna
Tokens: 1___ 2 3___ 4_________ 5______

Chunks:
  TruePositive nam [4,5] = Edilcuoghi Ravenna (confidence=0.88)

(ChunkerEvaluator) Sentence #8 from 00100514 from sent8

Text  : 1996 - 1998 Piaggio Roma
Tokens: 1___ 2 3___ 4______ 5___

Chunks:
  TruePositive nam [4,5] = Piaggio Roma (confidence=0.93)

(ChunkerEvaluator) Sentence #9 from 00100514 from sent9

Text  : 1998 - 2000 Iveco Palermo
Tokens: 1___ 2 3___ 4____ 5______

Chunks:
  TruePositive nam [4,5] = Iveco Palermo (confidence=0.99)

(ChunkerEvaluator) Sentence #10 from 00100514 from sent10

Text  : 2000 - 2003 Asystel Mediolan
Tokens: 1___ 2 3___ 4______ 5_______

Chunks:
  TruePositive nam [4,5] = Asystel Mediolan (confidence=0.59)

(ChunkerEvaluator) Sentence #11 from 00100514 from sent11

Text  : 2003 - Copra Berni Piacenza
Tokens: 1___ 2 3____ 4____ 5_______

Chunks:
  TruePositive nam [3,5] = Copra Berni Piacenza (confidence=1.00)

(ChunkerEvaluator) Sentence #12 from 00100514 from sent12

Text  : Sukcesy
Tokens: 1______

Chunks:

(ChunkerEvaluator) Sentence #13 from 00100514 from sent13

Text  : Srebrny medal Ligi Mistrzów : 2008
Tokens: 1______ 2____ 3___ 4_______ 5 6___

Chunks:
  TruePositive nam [3,4] = Ligi Mistrzów (confidence=1.00)

(ChunkerEvaluator) Sentence #14 from 00100514 from sent14

Text  : Wicemistrzostwo Włoch : 2007 , 2008
Tokens: 1______________ 2____ 3 4___ 5 6___

Chunks:
  TruePositive nam [2,2] = Włoch (confidence=0.90)

(ChunkerEvaluator) Sentence #15 from 00100514 from sent15

Text  : Zwycięstwo w Lidze Światowej : 1997 , 1999
Tokens: 1_________ 2 3____ 4________ 5 6___ 7 8___

Chunks:
  TruePositive nam [3,4] = Lidze Światowej (confidence=1.00)

(ChunkerEvaluator) Sentence #16 from 00100514 from sent16

Text  : Puchar Top Teams : 2006
Tokens: 1_____ 2__ 3____ 4 5___

Chunks:
  FalsePositive nam [1,5] = Puchar Top Teams : 2006 (confidence=1.00) (incorrect boundry)
  FalseNegative nam [1,3] = Puchar Top Teams

(ChunkerEvaluator) Sentence #17 from 00100514 from sent17

Text  : Puchar CEV : 1999
Tokens: 1_____ 2__ 3 4___

Chunks:
  TruePositive nam [1,2] = Puchar CEV (confidence=1.00)

(ChunkerEvaluator) Sentence #18 from 00100514 from sent18

Text  : Mistrzostwo Włoch : 2009
Tokens: 1__________ 2____ 3 4___

Chunks:
  TruePositive nam [2,2] = Włoch (confidence=0.87)

(ChunkerEvaluator) Sentence #19 from 00100514 from sent19

Text  : Nagrody indywidualne
Tokens: 1______ 2___________

Chunks:

(ChunkerEvaluator) Sentence #20 from 00100514 from sent20

Text  : Najlepiej punktujący zawodnik Ligi Mistrzów : 2008
Tokens: 1________ 2_________ 3_______ 4___ 5_______ 6 7___

Chunks:
  TruePositive nam [4,5] = Ligi Mistrzów (confidence=1.00)

(ChunkerEvaluator) Sentence #21 from 00100514 from sent21

Text  : Najlepiej punktujący zawodnik Serie A : sezon 2007 / 2008
Tokens: 1________ 2_________ 3_______ 4____ 5 6 7____ 8___ 9 10__

Chunks:
  TruePositive nam [4,5] = Serie A (confidence=0.97)

2017-06-14 20:20:26,684 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 2 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100528.xml
(ChunkerEvaluator) Sentence #22 from 00100528 from sent1

Text  : Biberach ( Riß ) ( stacja kolejowa )
Tokens: 1_______ 2 3__ 4 5 6_____ 7_______ 8

Chunks:
  FalsePositive nam [3,3] = Riß (confidence=0.99) (incorrect boundry)
  FalseNegative nam [1,4] = Biberach ( Riß )

(ChunkerEvaluator) Sentence #23 from 00100528 from sent2

Text  : Biberach ( Riß ) – stacja kolejowa w Biberach an der Riß ,_ w_ kraju związkowym Badenia -_ Wirtembergia ,_ w_ Niemczech ._
Tokens: 1_______ 2 3__ 4 5 6_____ 7_______ 8 9_______ 10 11_ 12_ 13 14 15___ 16________ 17_____ 18 19__________ 20 21 22_______ 23

Chunks:
  TruePositive nam [9,12] = Biberach an der Riß (confidence=1.00)
  TruePositive nam [17,19] = Badenia - Wirtembergia (confidence=0.99)
  TruePositive nam [22,22] = Niemczech (confidence=0.99)
  FalsePositive nam [3,3] = Riß (confidence=1.00) (incorrect boundry)
  FalseNegative nam [1,4] = Biberach ( Riß )

(ChunkerEvaluator) Sentence #24 from 00100528 from sent3

Text  : Znajdują się tu 3 perony .
Tokens: 1_______ 2__ 3_ 4 5_____ 6

Chunks:

2017-06-14 20:20:26,694 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 3 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100532.xml
(ChunkerEvaluator) Sentence #25 from 00100532 from sent1

Text  : Marin Premeru
Tokens: 1____ 2______

Chunks:
  TruePositive nam [1,2] = Marin Premeru (confidence=0.94)

(ChunkerEvaluator) Sentence #26 from 00100532 from sent2

Text  : Marin Premeru ( ur . 29 sierpnia 1990 w Rijece )_ –_ chorwacki lekkoatleta specjalizujący się w_ rzucie dyskiem oraz pchnięciu kulą ._
Tokens: 1____ 2______ 3 4_ 5 6_ 7_______ 8___ 9 10____ 11 12 13_______ 14_________ 15____________ 16_ 17 18____ 19_____ 20__ 21_______ 22__ 23

Chunks:
  TruePositive nam [1,2] = Marin Premeru (confidence=1.00)
  TruePositive nam [10,10] = Rijece (confidence=1.00)

(ChunkerEvaluator) Sentence #27 from 00100532 from sent3

Text  : W 2006 podczas pekińskich mistrzostw świata juniorów zajął 12 ._ lokatę w_ konkursie rzutu dyskiem ._
Tokens: 1 2___ 3______ 4_________ 5_________ 6_____ 7_______ 8____ 9_ 10 11____ 12 13_______ 14___ 15_____ 16

Chunks:

(ChunkerEvaluator) Sentence #28 from 00100532 from sent4

Text  : Rok później w Ostrawie zdobył dwa srebrne medale mistrzostw świata kadetów ._
Tokens: 1__ 2______ 3 4_______ 5_____ 6__ 7______ 8_____ 9_________ 10____ 11_____ 12

Chunks:
  TruePositive nam [4,4] = Ostrawie (confidence=1.00)

(ChunkerEvaluator) Sentence #29 from 00100532 from sent5

Text  : W roku 2008 zdobył srebro w rzucie dyskiem oraz brąz w_ pchnięciu kulą podczas mistrzostw świata juniorów ._
Tokens: 1 2___ 3___ 4_____ 5_____ 6 7_____ 8______ 9___ 10__ 11 12_______ 13__ 14_____ 15________ 16____ 17______ 18

Chunks:

(ChunkerEvaluator) Sentence #30 from 00100532 from sent6

Text  : Brązowy medalista mistrzostw Europy juniorów ( rzut dyskiem , Nowy Sad 2009 )_ ._
Tokens: 1______ 2________ 3_________ 4_____ 5_______ 6 7___ 8______ 9 10__ 11_ 12__ 13 14

Chunks:
  TruePositive nam [10,11] = Nowy Sad (confidence=1.00)
  FalsePositive nam [3,4] = mistrzostw Europy (confidence=0.49) (incorrect boundry)
  FalseNegative nam [4,4] = Europy

(ChunkerEvaluator) Sentence #31 from 00100532 from sent7

Text  : Ma na swoim koncie także złoto ( pchnięcie kulą )_ oraz srebro (_ rzut dyskiem )_ Europejskiego Festiwalu Młodzieży (_ Belgrad 2007 )_ ._
Tokens: 1_ 2_ 3____ 4_____ 5____ 6____ 7 8________ 9___ 10 11__ 12____ 13 14__ 15_____ 16 17___________ 18_______ 19_______ 20 21_____ 22__ 23 24

Chunks:
  TruePositive nam [17,19] = Europejskiego Festiwalu Młodzieży (confidence=1.00)
  TruePositive nam [21,21] = Belgrad (confidence=0.89)

(ChunkerEvaluator) Sentence #32 from 00100532 from sent8

Text  : Wielokrotny mistrz Chorwacji .
Tokens: 1__________ 2_____ 3________ 4

Chunks:
  TruePositive nam [3,3] = Chorwacji (confidence=1.00)

(ChunkerEvaluator) Sentence #33 from 00100532 from sent9

Text  : Rekord życiowe
Tokens: 1_____ 2______

Chunks:

(ChunkerEvaluator) Sentence #34 from 00100532 from sent10

Text  : pchnięcie kulą - 19 , 80 ( 2009 )
Tokens: 1________ 2___ 3 4_ 5 6_ 7 8___ 9

Chunks:

(ChunkerEvaluator) Sentence #35 from 00100532 from sent11

Text  : pchnięcie kulą ( 6 kg ) - 21 , 68 (_ 2009 )_
Tokens: 1________ 2___ 3 4 5_ 6 7 8_ 9 10 11 12__ 13

Chunks:

(ChunkerEvaluator) Sentence #36 from 00100532 from sent12

Text  : pchnięcie kulą ( 5 kg ) - 22 , 79 (_ 2007 )_ były rekord świata juniorów młodszych
Tokens: 1________ 2___ 3 4 5_ 6 7 8_ 9 10 11 12__ 13 14__ 15____ 16____ 17______ 18_______

Chunks:

(ChunkerEvaluator) Sentence #37 from 00100532 from sent13

Text  : rzut dyskiem - 63 , 38 ( 2010 )
Tokens: 1___ 2______ 3 4_ 5 6_ 7 8___ 9

Chunks:

(ChunkerEvaluator) Sentence #38 from 00100532 from sent14

Text  : rzut dyskiem ( 1 , 750 kg ) - 65 ,_ 71 (_ 2009 )_ juniorski rekord Chorwacji
Tokens: 1___ 2______ 3 4 5 6__ 7_ 8 9 10 11 12 13 14__ 15 16_______ 17____ 18_______

Chunks:
  TruePositive nam [18,18] = Chorwacji (confidence=1.00)

(ChunkerEvaluator) Sentence #39 from 00100532 from sent15

Text  : rzut dyskiem ( 1 , 500 kg ) - 68 ,_ 20 (_ 2007 )_ rekord Chorwacji kadetów
Tokens: 1___ 2______ 3 4 5 6__ 7_ 8 9 10 11 12 13 14__ 15 16____ 17_______ 18_____

Chunks:
  TruePositive nam [17,17] = Chorwacji (confidence=0.98)

2017-06-14 20:20:26,746 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100538.xml
(ChunkerEvaluator) Sentence #40 from 00100538 from sent1

Text  : Stanisław Gajewski
Tokens: 1________ 2_______

Chunks:
  TruePositive nam [1,2] = Stanisław Gajewski (confidence=1.00)

(ChunkerEvaluator) Sentence #41 from 00100538 from sent2

Text  : Stanisław Gajewski ( ur . 18 października 1912 w Krakowie ,_ zm ._ 29 kwietnia 1995 )_ –_ polski dyplomata ,_ urzędnik państwowy ,_ ambasador PRL we Francji (_ 1954 –_ 1961 )_ ._
Tokens: 1________ 2_______ 3 4_ 5 6_ 7___________ 8___ 9 10______ 11 12 13 14 15______ 16__ 17 18 19____ 20_______ 21 22______ 23_______ 24 25_______ 26_ 27 28_____ 29 30__ 31 32__ 33 34

Chunks:
  TruePositive nam [1,2] = Stanisław Gajewski (confidence=1.00)
  TruePositive nam [10,10] = Krakowie (confidence=1.00)
  TruePositive nam [26,26] = PRL (confidence=1.00)
  TruePositive nam [28,28] = Francji (confidence=1.00)

(ChunkerEvaluator) Sentence #42 from 00100538 from sent3

Text  : Życiorys
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #43 from 00100538 from sent4

Text  : Urodził się w rodzinie Wacława i Wandy z domu Landau ._
Tokens: 1______ 2__ 3 4_______ 5______ 6 7____ 8 9___ 10____ 11

Chunks:
  TruePositive nam [5,5] = Wacława (confidence=1.00)
  FalsePositive nam [7,7] = Wandy (confidence=0.97) (incorrect boundry)
  FalsePositive nam [10,10] = Landau (confidence=0.94) (incorrect boundry)
  FalseNegative nam [7,10] = Wandy z domu Landau

(ChunkerEvaluator) Sentence #44 from 00100538 from sent5

Text  : Zmarły tragicznie w 1925 ojciec był z wykształcenia chemikiem i_ asystentem na Uniwersytecie Jagiellońskim oraz dyrektorem Syndykatu Hodowlanego ,_ matka –_ absolwentka nauk przyrodniczych na Uniwersytecie w_ Lozannie –_ po śmierci ojca pracowała jako nauczycielka ._
Tokens: 1_____ 2_________ 3 4___ 5_____ 6__ 7 8____________ 9________ 10 11________ 12 13___________ 14___________ 15__ 16________ 17_______ 18_________ 19 20___ 21 22_________ 23__ 24____________ 25 26___________ 27 28______ 29 30 31_____ 32__ 33_______ 34__ 35__________ 36

Chunks:
  TruePositive nam [13,14] = Uniwersytecie Jagiellońskim (confidence=1.00)
  TruePositive nam [26,26] = Uniwersytecie (confidence=1.00)
  TruePositive nam [28,28] = Lozannie (confidence=0.69)
  FalsePositive nam [17,18] = Syndykatu Hodowlanego (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #45 from 00100538 from sent6

Text  : Od 1915 mieszkał w Warszawie .
Tokens: 1_ 2___ 3_______ 4 5________ 6

Chunks:
  TruePositive nam [5,5] = Warszawie (confidence=1.00)

(ChunkerEvaluator) Sentence #46 from 00100538 from sent7

Text  : Uczęszczał do Gimnazjów : Ziemi Mazowieckiej oraz Państwowego im ._ Joachima Lelewela ,_ gdzie zdał maturę ._
Tokens: 1_________ 2_ 3________ 4 5____ 6___________ 7___ 8__________ 9_ 10 11______ 12______ 13 14___ 15__ 16____ 17

Chunks:
  TruePositive nam [5,6] = Ziemi Mazowieckiej (confidence=0.99)
  FalsePositive nam [3,3] = Gimnazjów (confidence=0.76) (incorrect boundry)
  FalsePositive nam [8,12] = Państwowego im . Joachima Lelewela (confidence=1.00) (incorrect boundry)
  FalseNegative nam [11,12] = Joachima Lelewela

(ChunkerEvaluator) Sentence #47 from 00100538 from sent8

Text  : W latach 1930 – 1934 studiował prawo na Uniwersytecie Warszawskim ._
Tokens: 1 2_____ 3___ 4 5___ 6________ 7____ 8_ 9____________ 10_________ 11

Chunks:
  TruePositive nam [9,10] = Uniwersytecie Warszawskim (confidence=1.00)

(ChunkerEvaluator) Sentence #48 from 00100538 from sent9

Text  : Odbył służbę wojskową , a następnie aplikację u mecenasa Władysława Winawera ._
Tokens: 1____ 2_____ 3_______ 4 5 6________ 7________ 8 9_______ 10________ 11______ 12

Chunks:
  TruePositive nam [10,11] = Władysława Winawera (confidence=1.00)

(ChunkerEvaluator) Sentence #49 from 00100538 from sent10

Text  : W czasie II wojny światowej pracował jako tłumacz w firmie papierniczej u_ wuja ,_ po Powstaniu Warszawskim znalazł się w_ Częstochowie ._
Tokens: 1 2_____ 3_ 4____ 5________ 6_______ 7___ 8______ 9 10____ 11__________ 12 13__ 14 15 16_______ 17_________ 18_____ 19_ 20 21__________ 22

Chunks:
  TruePositive nam [3,5] = II wojny światowej (confidence=1.00)
  TruePositive nam [16,17] = Powstaniu Warszawskim (confidence=0.98)
  TruePositive nam [21,21] = Częstochowie (confidence=0.98)

(ChunkerEvaluator) Sentence #50 from 00100538 from sent11

Text  : Po zakończeniu działań wojennych pracował w ministerstwie sprawiedliwości na zaproszenie Leona Chajna (_ 1944 –_ 1945 )_ ._
Tokens: 1_ 2__________ 3______ 4________ 5_______ 6 7____________ 8______________ 9_ 10_________ 11___ 12____ 13 14__ 15 16__ 17 18

Chunks:
  TruePositive nam [11,12] = Leona Chajna (confidence=0.99)
  FalseNegative nam [7,8] = ministerstwie sprawiedliwości

(ChunkerEvaluator) Sentence #51 from 00100538 from sent12

Text  : W 1945 rozpoczął pracę dla MSZ , był m ._ in ._ kierownikiem Wydziału Konsularnego oraz attaché w_ Ambasadzie RP (_ PRL )_ w_ Czechosłowacji ._
Tokens: 1 2___ 3________ 4____ 5__ 6__ 7 8__ 9 10 11 12 13__________ 14______ 15__________ 16__ 17_____ 18 19________ 20 21 22_ 23 24 25____________ 26

Chunks:
  TruePositive nam [6,6] = MSZ (confidence=1.00)
  TruePositive nam [14,15] = Wydziału Konsularnego (confidence=1.00)
  TruePositive nam [25,25] = Czechosłowacji (confidence=0.98)
  FalsePositive nam [19,20] = Ambasadzie RP (confidence=1.00) (incorrect boundry)
  FalsePositive nam [22,22] = PRL (confidence=0.98) (incorrect boundry)
  FalseNegative nam [19,23] = Ambasadzie RP ( PRL )

(ChunkerEvaluator) Sentence #52 from 00100538 from sent13

Text  : Był szefem polskiej misji dyplomatycznej Międzynarodowej Komisji Krajów Neutralnych ds ._ repatriacji jeńców ._
Tokens: 1__ 2_____ 3_______ 4____ 5_____________ 6______________ 7______ 8_____ 9__________ 10 11 12_________ 13____ 14

Chunks:
  TruePositive nam [6,9] = Międzynarodowej Komisji Krajów Neutralnych (confidence=0.94)

(ChunkerEvaluator) Sentence #53 from 00100538 from sent14

Text  : Od 1954 do 1961 pełnił misję jako ambasador nadzwyczajny i_ pełnomocny w_ Paryżu ._
Tokens: 1_ 2___ 3_ 4___ 5_____ 6____ 7___ 8________ 9___________ 10 11________ 12 13____ 14

Chunks:
  TruePositive nam [13,13] = Paryżu (confidence=0.99)

(ChunkerEvaluator) Sentence #54 from 00100538 from sent15

Text  : Z powodu " skandalu obyczajowego " usunięty ze służby dyplomatycznej ,_ pracował jako doradca Prezydium Sejmu ds ._ stosunków zagranicznych ._
Tokens: 1 2_____ 3 4_______ 5___________ 6 7_______ 8_ 9_____ 10____________ 11 12______ 13__ 14_____ 15_______ 16___ 17 18 19_______ 20___________ 21

Chunks:
  FalsePositive nam [16,16] = Sejmu (confidence=0.51) (incorrect boundry)
  FalseNegative nam [15,16] = Prezydium Sejmu

(ChunkerEvaluator) Sentence #55 from 00100538 from sent16

Text  : Nim przystąpił do PZPR należał do SD .
Tokens: 1__ 2_________ 3_ 4___ 5______ 6_ 7_ 8

Chunks:
  TruePositive nam [4,4] = PZPR (confidence=1.00)
  TruePositive nam [7,7] = SD (confidence=0.98)

(ChunkerEvaluator) Sentence #56 from 00100538 from sent17

Text  : Początkowo żonaty z lekarką – absolwentką UW Janiną Milejkowską (_ ślub wzięli w_ listopadzie 1939 )_ ,_ następnie był drugim mężem Zofii Chądzyńskiej ._
Tokens: 1_________ 2_____ 3 4______ 5 6__________ 7_ 8_____ 9__________ 10 11__ 12____ 13 14_________ 15__ 16 17 18_______ 19_ 20____ 21___ 22___ 23__________ 24

Chunks:
  TruePositive nam [22,23] = Zofii Chądzyńskiej (confidence=1.00)
  FalsePositive nam [7,9] = UW Janiną Milejkowską (confidence=0.99) (incorrect boundry)
  FalseNegative nam [7,7] = UW
  FalseNegative nam [8,9] = Janiną Milejkowską

(ChunkerEvaluator) Sentence #57 from 00100538 from sent18

Text  : Miał brata Wacława – profesora genetyki , członka PAN ._
Tokens: 1___ 2____ 3______ 4 5________ 6_______ 7 8______ 9__ 10

Chunks:
  TruePositive nam [3,3] = Wacława (confidence=1.00)
  TruePositive nam [9,9] = PAN (confidence=0.99)

(ChunkerEvaluator) Sentence #58 from 00100538 from sent19

Text  : Był kawalerem Legii Honorowej .
Tokens: 1__ 2________ 3____ 4________ 5

Chunks:
  TruePositive nam [3,4] = Legii Honorowej (confidence=1.00)

2017-06-14 20:20:26,826 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100611.xml
(ChunkerEvaluator) Sentence #59 from 00100611 from sent1

Text  : Po drugie , książki z naszej kolekcji , które są dostępne na licencji Creative Commons umieścili śmy –_ na mocy licencji –_ w_ serwisie Scribd ._
Tokens: 1_ 2_____ 3 4______ 5 6_____ 7_______ 8 9____ 10 11______ 12 13______ 14______ 15_____ 16_______ 17_ 18 19 20__ 21______ 22 23 24______ 25____ 26

Chunks:
  TruePositive nam [14,15] = Creative Commons (confidence=1.00)
  TruePositive nam [25,25] = Scribd (confidence=0.93)

(ChunkerEvaluator) Sentence #60 from 00100611 from sent2

Text  : Pozwala on publikować w sieci PDFy , które są widoczne bezpośrednio w_ przeglądarce i_ dają się łatwo i_ elegancko umieszczać na innych stronach ._
Tokens: 1______ 2_ 3_________ 4 5____ 6___ 7 8____ 9_ 10______ 11__________ 12 13__________ 14 15__ 16_ 17___ 18 19_______ 20________ 21 22____ 23______ 24

Chunks:
  TruePositive nam [6,6] = PDFy (confidence=1.00)

(ChunkerEvaluator) Sentence #61 from 00100611 from sent3

Text  : Do tego system Scribd umożliwia licencjonowanie Creative Commons .
Tokens: 1_ 2___ 3_____ 4_____ 5________ 6______________ 7_______ 8______ 9

Chunks:
  TruePositive nam [4,4] = Scribd (confidence=0.99)
  TruePositive nam [7,8] = Creative Commons (confidence=1.00)

(ChunkerEvaluator) Sentence #62 from 00100611 from sent4

Text  : Po trzecie – i chyba najważniejsze – uruchomili śmy protokół OAI PMH ,_ pozwalający automatycznie katalogować z_ zewnątrz metadane książek z_ naszej kolekcji (_ opisujemy je w_ modelu Dublin Core )_ ._
Tokens: 1_ 2______ 3 4 5____ 6____________ 7 8_________ 9__ 10______ 11_ 12_ 13 14_________ 15___________ 16_________ 17 18______ 19______ 20_____ 21 22____ 23______ 24 25_______ 26 27 28____ 29____ 30__ 31 32

Chunks:
  TruePositive nam [11,12] = OAI PMH (confidence=0.99)
  TruePositive nam [29,30] = Dublin Core (confidence=1.00)

(ChunkerEvaluator) Sentence #63 from 00100611 from sent5

Text  : Oznacza to między innymi , że treści naszego serwisu mogą być przeszukiwane w_ ramach wyszukiwarek agregujących zbiory różnych kolekcji ._
Tokens: 1______ 2_ 3_____ 4_____ 5 6_ 7_____ 8______ 9______ 10__ 11_ 12___________ 13 14____ 15__________ 16__________ 17____ 18_____ 19______ 20

Chunks:

(ChunkerEvaluator) Sentence #64 from 00100611 from sent6

Text  : Wykorzystując OAI PMH podpięli śmy nasz serwis do Federacji Bibliotek Cyfrowych –_ ogólnopolskiej wyszukiwarki pozwalającej przeszukiwać naraz kilkadziesiąt bibliotek cyfrowych i_ kilkaset tysięcy pozycji ._
Tokens: 1____________ 2__ 3__ 4_______ 5__ 6___ 7_____ 8_ 9________ 10_______ 11_______ 12 13____________ 14__________ 15__________ 16__________ 17___ 18___________ 19_______ 20_______ 21 22______ 23_____ 24_____ 25

Chunks:
  TruePositive nam [2,3] = OAI PMH (confidence=1.00)
  TruePositive nam [9,11] = Federacji Bibliotek Cyfrowych (confidence=1.00)

2017-06-14 20:20:26,863 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100630.xml
(ChunkerEvaluator) Sentence #65 from 00100630 from sent1

Text  : Remisem 1 : 1 ( 0 : 1 ) zakończył się mecz pomiędzy Bzurą Ozorków a_ Ekologiem Wojsławice ._
Tokens: 1______ 2 3 4 5 6 7 8 9 10_______ 11_ 12__ 13______ 14___ 15_____ 16 17_______ 18________ 19

Chunks:
  TruePositive nam [14,15] = Bzurą Ozorków (confidence=0.93)
  TruePositive nam [17,18] = Ekologiem Wojsławice (confidence=0.98)

(ChunkerEvaluator) Sentence #66 from 00100630 from sent2

Text  : Poziom dzisiejszej rywalizacji nie należał do najwyższych , do czego przyczyniły się z_ pewnością wyjątkowo trudne warunki atmosferyczne ._
Tokens: 1_____ 2__________ 3__________ 4__ 5______ 6_ 7__________ 8 9_ 10___ 11_________ 12_ 13 14_______ 15_______ 16____ 17_____ 18___________ 19

Chunks:

(ChunkerEvaluator) Sentence #67 from 00100630 from sent3

Text  : Goście objęli prowadzenie ze strzału na bramkę Forteckiego z odległości około 25 metrów !_
Tokens: 1_____ 2_____ 3__________ 4_ 5______ 6_ 7_____ 8__________ 9 10________ 11___ 12 13____ 14

Chunks:
  TruePositive nam [8,8] = Forteckiego (confidence=0.87)

(ChunkerEvaluator) Sentence #68 from 00100630 from sent4

Text  : Po tej akcji zawodnikom Bzury ciężko było zwieść obronę gości ._
Tokens: 1_ 2__ 3____ 4_________ 5____ 6_____ 7___ 8_____ 9_____ 10___ 11

Chunks:
  TruePositive nam [5,5] = Bzury (confidence=1.00)

(ChunkerEvaluator) Sentence #69 from 00100630 from sent5

Text  : Zasłużona dla nas bramka padła z rzutu karnego w 85 min -_ egzekutorem był Rosiecki ._
Tokens: 1________ 2__ 3__ 4_____ 5____ 6 7____ 8______ 9 10 11_ 12 13_________ 14_ 15______ 16

Chunks:
  TruePositive nam [15,15] = Rosiecki (confidence=1.00)

(ChunkerEvaluator) Sentence #70 from 00100630 from sent6

Text  : W ostatnich minutach zawodnicy z MKP mogli rozstrzygnąć mecz na swoją korzyść ,_ lecz piłka po strzale naszego zawodnika trafiła w_ słupek ._
Tokens: 1 2________ 3_______ 4________ 5 6__ 7____ 8___________ 9___ 10 11___ 12_____ 13 14__ 15___ 16 17_____ 18_____ 19_______ 20_____ 21 22____ 23

Chunks:
  TruePositive nam [6,6] = MKP (confidence=1.00)

(ChunkerEvaluator) Sentence #71 from 00100630 from sent7

Text  : Remis nie krzywdzi żadnej z drużyn .
Tokens: 1____ 2__ 3_______ 4_____ 5 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #72 from 00100630 from sent8

Text  : Bzura zagrała w składzie : Fortecki , Rosiecki , Kołodziejski ,_ Szabela ,_ Kałuziński ,_ Koziak Marcin ,_ Chmielecki ,_ Śludkowski ,_ Szefer ,_ Baranowski ,_ Koziak Michał ._
Tokens: 1____ 2______ 3 4_______ 5 6_______ 7 8_______ 9 10__________ 11 12_____ 13 14________ 15 16____ 17____ 18 19________ 20 21________ 22 23____ 24 25________ 26 27____ 28____ 29

Chunks:
  TruePositive nam [1,1] = Bzura (confidence=0.88)
  TruePositive nam [6,6] = Fortecki (confidence=0.96)
  TruePositive nam [8,8] = Rosiecki (confidence=1.00)
  TruePositive nam [10,10] = Kołodziejski (confidence=0.99)
  TruePositive nam [12,12] = Szabela (confidence=1.00)
  TruePositive nam [14,14] = Kałuziński (confidence=1.00)
  TruePositive nam [16,17] = Koziak Marcin (confidence=1.00)
  TruePositive nam [19,19] = Chmielecki (confidence=1.00)
  TruePositive nam [21,21] = Śludkowski (confidence=1.00)
  TruePositive nam [23,23] = Szefer (confidence=1.00)
  TruePositive nam [25,25] = Baranowski (confidence=1.00)
  TruePositive nam [27,28] = Koziak Michał (confidence=1.00)

(ChunkerEvaluator) Sentence #73 from 00100630 from sent9

Text  : Po przerwie zagrali : Szczęsny , Ziemniak , Konczarek ._
Tokens: 1_ 2_______ 3______ 4 5_______ 6 7_______ 8 9________ 10

Chunks:
  TruePositive nam [5,5] = Szczęsny (confidence=1.00)
  TruePositive nam [7,7] = Ziemniak (confidence=1.00)
  TruePositive nam [9,9] = Konczarek (confidence=1.00)

2017-06-14 20:20:26,903 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 7 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101192.xml
(ChunkerEvaluator) Sentence #74 from 00101192 from sent1

Text  : A 21
Tokens: 1 2_

Chunks:
  FalseNegative nam [1,2] = A 21

(ChunkerEvaluator) Sentence #75 from 00101192 from sent2

Text  : A 21 - niemiecki torpedowiec z okresu I wojny światowej ._
Tokens: 1 2_ 3 4________ 5__________ 6 7_____ 8 9____ 10_______ 11

Chunks:
  TruePositive nam [8,10] = I wojny światowej (confidence=1.00)
  FalseNegative nam [1,2] = A 21

(ChunkerEvaluator) Sentence #76 from 00101192 from sent3

Text  : Dwudziesta pierwsza jednostka typu A 1 .
Tokens: 1_________ 2_______ 3________ 4___ 5 6 7

Chunks:
  FalseNegative nam [5,6] = A 1

(ChunkerEvaluator) Sentence #77 from 00101192 from sent4

Text  : Okręt wyposażony w jeden kocioł parowy opalany węglem i trójcylindrową maszynę parową ._
Tokens: 1____ 2_________ 3 4____ 5_____ 6_____ 7______ 8_____ 9 10____________ 11_____ 12____ 13

Chunks:

(ChunkerEvaluator) Sentence #78 from 00101192 from sent5

Text  : Zapas paliwa 24 , 5 tony .
Tokens: 1____ 2_____ 3_ 4 5 6___ 7

Chunks:

(ChunkerEvaluator) Sentence #79 from 00101192 from sent6

Text  : Zbudowany w innej stoczni kadłub okrętu wyposażono w stoczni AG Vulcan ._
Tokens: 1________ 2 3____ 4______ 5_____ 6_____ 7_________ 8 9______ 10 11____ 12

Chunks:
  TruePositive nam [10,11] = AG Vulcan (confidence=0.96)

(ChunkerEvaluator) Sentence #80 from 00101192 from sent7

Text  : Torpedowiec brał udział w patrolach wzdłuż wybrzeża Flandrii i na kanale La Manche ._
Tokens: 1__________ 2___ 3_____ 4 5________ 6_____ 7_______ 8_______ 9 10 11____ 12 13____ 14

Chunks:
  TruePositive nam [8,8] = Flandrii (confidence=0.96)
  TruePositive nam [12,13] = La Manche (confidence=1.00)

(ChunkerEvaluator) Sentence #81 from 00101192 from sent8

Text  : Zezłomowany w 1921 lub 1922 roku .
Tokens: 1__________ 2 3___ 4__ 5___ 6___ 7

Chunks:

2017-06-14 20:20:26,924 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 8 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101202.xml
(ChunkerEvaluator) Sentence #82 from 00101202 from sent1

Text  : Standard Reference Method
Tokens: 1_______ 2________ 3_____

Chunks:
  FalsePositive nam [2,3] = Reference Method (confidence=0.62) (incorrect boundry)
  FalseNegative nam [1,3] = Standard Reference Method

(ChunkerEvaluator) Sentence #83 from 00101202 from sent2

Text  : Standard Reference Method - wywodząca się z USA metoda pomiaru barwy brzeczki i_ piwa ._
Tokens: 1_______ 2________ 3_____ 4 5________ 6__ 7 8__ 9_____ 10_____ 11___ 12______ 13 14__ 15

Chunks:
  TruePositive nam [8,8] = USA (confidence=1.00)
  FalsePositive nam [2,3] = Reference Method (confidence=0.73) (incorrect boundry)
  FalseNegative nam [1,3] = Standard Reference Method

(ChunkerEvaluator) Sentence #84 from 00101202 from sent3

Text  : Nie jest stosowana w Europie , gdzie dominuje jednostka EBC ._
Tokens: 1__ 2___ 3________ 4 5______ 6 7____ 8_______ 9________ 10_ 11

Chunks:
  TruePositive nam [5,5] = Europie (confidence=1.00)
  TruePositive nam [10,10] = EBC (confidence=0.99)

(ChunkerEvaluator) Sentence #85 from 00101202 from sent4

Text  : Stosunek SRM : EBC wynosi 1 : 1 , 97 ,_ natomiast stosunek EBC :_ SRM wynosi 1_ :_ 0_ ,_ 508 ._
Tokens: 1_______ 2__ 3 4__ 5_____ 6 7 8 9 10 11 12_______ 13______ 14_ 15 16_ 17____ 18 19 20 21 22_ 23

Chunks:
  TruePositive nam [2,2] = SRM (confidence=0.59)
  TruePositive nam [4,4] = EBC (confidence=1.00)
  TruePositive nam [14,14] = EBC (confidence=0.99)
  TruePositive nam [16,16] = SRM (confidence=1.00)

2017-06-14 20:20:26,938 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 9 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101218.xml
(ChunkerEvaluator) Sentence #86 from 00101218 from sent1

Text  : Nowy Świętów
Tokens: 1___ 2______

Chunks:
  TruePositive nam [1,2] = Nowy Świętów (confidence=0.96)

(ChunkerEvaluator) Sentence #87 from 00101218 from sent2

Text  : Nowy Świętów ( niem . Deutsch Wette ) – wieś w_ Polsce położona w_ województwie opolskim ,_ w_ powiecie nyskim ,_ w_ gminie Głuchołazy ._
Tokens: 1___ 2______ 3 4___ 5 6______ 7____ 8 9 10__ 11 12____ 13______ 14 15__________ 16______ 17 18 19______ 20____ 21 22 23____ 24________ 25

Chunks:
  TruePositive nam [1,2] = Nowy Świętów (confidence=0.96)
  TruePositive nam [6,7] = Deutsch Wette (confidence=0.91)
  TruePositive nam [12,12] = Polsce (confidence=1.00)
  TruePositive nam [16,16] = opolskim (confidence=1.00)
  TruePositive nam [20,20] = nyskim (confidence=1.00)
  TruePositive nam [24,24] = Głuchołazy (confidence=1.00)

(ChunkerEvaluator) Sentence #88 from 00101218 from sent3

Text  : W latach 1975 - 1998 miejscowość administracyjnie należała do ówczesnego województwa opolskiego ._
Tokens: 1 2_____ 3___ 4 5___ 6__________ 7_______________ 8_______ 9_ 10________ 11_________ 12________ 13

Chunks:
  TruePositive nam [12,12] = opolskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #89 from 00101218 from sent4

Text  : Wieś wielodrożnicowa , kolonizacyjna , wymieniona została po raz pierwszy w_ 1300 r_ ._ jako Swetow thewtonicalis ._
Tokens: 1___ 2______________ 3 4____________ 5 6_________ 7______ 8_ 9__ 10______ 11 12__ 13 14 15__ 16____ 17___________ 18

Chunks:
  TruePositive nam [16,17] = Swetow thewtonicalis (confidence=0.99)

(ChunkerEvaluator) Sentence #90 from 00101218 from sent5

Text  : Znajduje się tu kościół z końca XIII w . odbudowany po zniszczeniach wojny 30 letniej w_ 1638 r_ ._ i_ rozbudowany w_ 1938 r_ ._
Tokens: 1_______ 2__ 3_ 4______ 5 6____ 7___ 8 9 10________ 11 12___________ 13___ 14 15_____ 16 17__ 18 19 20 21_________ 22 23__ 24 25

Chunks:
  FalseNegative nam [13,15] = wojny 30 letniej

(ChunkerEvaluator) Sentence #91 from 00101218 from sent6

Text  : Wieża pochodzi z 1719 r .
Tokens: 1____ 2_______ 3 4___ 5 6

Chunks:

(ChunkerEvaluator) Sentence #92 from 00101218 from sent7

Text  : Wystrój wnętrza jest barokowy .
Tokens: 1______ 2______ 3___ 4_______ 5

Chunks:

(ChunkerEvaluator) Sentence #93 from 00101218 from sent8

Text  : Z tego samego okresu pochodzi niewielki dworek .
Tokens: 1 2___ 3_____ 4_____ 5_______ 6________ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #94 from 00101218 from sent9

Text  : W 1875 roku wybudowano linię kolejową z Nysy przez Nowy Świętów do Głuchołaz i_ Pokrzywnej ,_ a_ w_ 1876 powstało połączenie kolejowe Nowego Świętowa z_ Prudnikiem i_ Racławicami Śląskimi ._
Tokens: 1 2___ 3___ 4_________ 5____ 6_______ 7 8___ 9____ 10__ 11_____ 12 13_______ 14 15________ 16 17 18 19__ 20______ 21________ 22______ 23____ 24______ 25 26________ 27 28_________ 29______ 30

Chunks:
  TruePositive nam [8,8] = Nysy (confidence=1.00)
  TruePositive nam [10,11] = Nowy Świętów (confidence=0.93)
  TruePositive nam [13,13] = Głuchołaz (confidence=0.89)
  TruePositive nam [15,15] = Pokrzywnej (confidence=0.99)
  TruePositive nam [23,24] = Nowego Świętowa (confidence=1.00)
  TruePositive nam [26,26] = Prudnikiem (confidence=0.88)
  TruePositive nam [28,29] = Racławicami Śląskimi (confidence=0.99)

(ChunkerEvaluator) Sentence #95 from 00101218 from sent10

Text  : W XIX w . powstało też połączenie Nowy Świętów -_ Sławniowice (_ obecnie jest ono nieczynne )_ ._
Tokens: 1 2__ 3 4 5_______ 6__ 7_________ 8___ 9______ 10 11_________ 12 13_____ 14__ 15_ 16_______ 17 18

Chunks:
  TruePositive nam [8,9] = Nowy Świętów (confidence=0.99)
  TruePositive nam [11,11] = Sławniowice (confidence=1.00)

(ChunkerEvaluator) Sentence #96 from 00101218 from sent11

Text  : Wieś ma charakter rolniczo - przemysłowy , zamieszkuje ją 875 osób ._
Tokens: 1___ 2_ 3________ 4_______ 5 6__________ 7 8__________ 9_ 10_ 11__ 12

Chunks:

(ChunkerEvaluator) Sentence #97 from 00101218 from sent12

Text  : Mieszkańcy to głównie pracownicy zakładów , rolnicy i emeryci ._
Tokens: 1_________ 2_ 3______ 4_________ 5_______ 6 7______ 8 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #98 from 00101218 from sent13

Text  : Wiejskie zakłady to : piekarnia , warsztat samochodowy , wytwórnia torebek papierowych ,_ zakład produkujący palety do transportu ._
Tokens: 1_______ 2______ 3_ 4 5________ 6 7_______ 8__________ 9 10_______ 11_____ 12_________ 13 14____ 15_________ 16____ 17 18________ 19

Chunks:

(ChunkerEvaluator) Sentence #99 from 00101218 from sent14

Text  : Funkcjonuje tu mała elektrownia wodna , jest poczta , stacja PKP i_ przystanek PKS ._
Tokens: 1__________ 2_ 3___ 4__________ 5____ 6 7___ 8_____ 9 10____ 11_ 12 13________ 14_ 15

Chunks:
  TruePositive nam [11,11] = PKP (confidence=0.99)
  TruePositive nam [14,14] = PKS (confidence=1.00)

(ChunkerEvaluator) Sentence #100 from 00101218 from sent15

Text  : Działa jednostka OSP , KGW i Klub Sportowy Nowy Świętów ._
Tokens: 1_____ 2________ 3__ 4 5__ 6 7___ 8_______ 9___ 10_____ 11

Chunks:
  TruePositive nam [3,3] = OSP (confidence=0.88)
  TruePositive nam [5,5] = KGW (confidence=0.99)
  TruePositive nam [7,10] = Klub Sportowy Nowy Świętów (confidence=0.95)

(ChunkerEvaluator) Sentence #101 from 00101218 from sent16

Text  : We wsi znajdują się 3 sklepy spożywczo - przemysłowe ._
Tokens: 1_ 2__ 3_______ 4__ 5 6_____ 7________ 8 9__________ 10

Chunks:

(ChunkerEvaluator) Sentence #102 from 00101218 from sent17

Text  : Obiekty kulturalno - oświatowe to : szkoła podstawowa , przedszkole ,_ świetlica i_ nowa biblioteka ._
Tokens: 1______ 2_________ 3 4________ 5_ 6 7_____ 8_________ 9 10_________ 11 12_______ 13 14__ 15________ 16

Chunks:

(ChunkerEvaluator) Sentence #103 from 00101218 from sent18

Text  : Duży obiekt sportowy ze stadionem i basenem kąpielowym jest nieczynny i_ wymaga remontu ._
Tokens: 1___ 2_____ 3_______ 4_ 5________ 6 7______ 8_________ 9___ 10_______ 11 12____ 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #104 from 00101218 from sent19

Text  : Integralną częścią wioski jest Komorów .
Tokens: 1_________ 2______ 3_____ 4___ 5______ 6

Chunks:
  TruePositive nam [5,5] = Komorów (confidence=1.00)

2017-06-14 20:20:27,011 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 10 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101225.xml
(ChunkerEvaluator) Sentence #105 from 00101225 from sent1

Text  : Stożek Mały ( Beskid Śląski )
Tokens: 1_____ 2___ 3 4_____ 5_____ 6

Chunks:
  TruePositive nam [1,2] = Stożek Mały (confidence=0.99)
  TruePositive nam [4,5] = Beskid Śląski (confidence=1.00)

(ChunkerEvaluator) Sentence #106 from 00101225 from sent2

Text  : Stożek Mały ( 843 m n . p . m_ ._ )_ –_ słabo zaznaczające się ,_ bezleśne wzniesienie w_ Beskidzie Śląskim w_ głównym grzbiecie Pasma Czantorii ,_ położone między Wielkim Stożkiem a_ Cieślarem ._
Tokens: 1_____ 2___ 3 4__ 5 6 7 8 9 10 11 12 13 14___ 15__________ 16_ 17 18______ 19_________ 20 21_______ 22_____ 23 24_____ 25_______ 26___ 27_______ 28 29______ 30____ 31_____ 32______ 33 34_______ 35

Chunks:
  TruePositive nam [1,2] = Stożek Mały (confidence=0.98)
  TruePositive nam [21,22] = Beskidzie Śląskim (confidence=1.00)
  TruePositive nam [26,27] = Pasma Czantorii (confidence=1.00)
  TruePositive nam [31,32] = Wielkim Stożkiem (confidence=0.63)
  TruePositive nam [34,34] = Cieślarem (confidence=0.72)

(ChunkerEvaluator) Sentence #107 from 00101225 from sent3

Text  : Od Stożka Małego odchodzi na północny wschód boczne ramię Kobylej ._
Tokens: 1_ 2_____ 3_____ 4_______ 5_ 6_______ 7_____ 8_____ 9____ 10_____ 11

Chunks:
  TruePositive nam [2,3] = Stożka Małego (confidence=1.00)
  TruePositive nam [10,10] = Kobylej (confidence=0.96)

(ChunkerEvaluator) Sentence #108 from 00101225 from sent4

Text  : Pod szczytem , tuż na północ od jego kulminacji znajduje się kilka zabudowań osiedla Stożek Mały ,_ należącego administracyjnie do Wisły ._
Tokens: 1__ 2_______ 3 4__ 5_ 6_____ 7_ 8___ 9_________ 10______ 11_ 12___ 13_______ 14_____ 15____ 16__ 17 18________ 19______________ 20 21___ 22

Chunks:
  TruePositive nam [15,16] = Stożek Mały (confidence=1.00)
  TruePositive nam [21,21] = Wisły (confidence=1.00)

(ChunkerEvaluator) Sentence #109 from 00101225 from sent5

Text  : Po zachodniej stronie grzbietu łączącego Stożek Mały z Cieślarem ,_ na wys ._ ok ._ 800 –_ 830 m_ ,_ kilka zabudowań czeskiego przysiółka Malý Stožek ,_ należącego administracyjnie do Nydku ._
Tokens: 1_ 2_________ 3______ 4_______ 5________ 6_____ 7___ 8 9________ 10 11 12_ 13 14 15 16_ 17 18_ 19 20 21___ 22_______ 23_______ 24________ 25__ 26____ 27 28________ 29______________ 30 31___ 32

Chunks:
  TruePositive nam [6,7] = Stożek Mały (confidence=1.00)
  TruePositive nam [9,9] = Cieślarem (confidence=0.94)
  TruePositive nam [25,26] = Malý Stožek (confidence=1.00)
  TruePositive nam [31,31] = Nydku (confidence=0.96)

(ChunkerEvaluator) Sentence #110 from 00101225 from sent6

Text  : Przez szczyt Stożka Małego biegnie granica państwowa polsko - czeska ,_ a_ wzdłuż niej graniczne szlaki :_ czerwony –_ polski i_ niebieski –_ czeski ._
Tokens: 1____ 2_____ 3_____ 4_____ 5______ 6______ 7________ 8_____ 9 10____ 11 12 13____ 14__ 15_______ 16____ 17 18______ 19 20____ 21 22_______ 23 24____ 25

Chunks:
  TruePositive nam [3,4] = Stożka Małego (confidence=0.99)

(ChunkerEvaluator) Sentence #111 from 00101225 from sent7

Text  : Od strony czeskiej , z Kolibisk w dolinie Głuchówki wyprowadzają na grzbiet znaki zielone ,_ zaś z_ doliny Dziechcinki –_ żółte znaki wiodące do schroniska PTTK na Wielkim Stożku ._
Tokens: 1_ 2_____ 3_______ 4 5 6_______ 7 8______ 9________ 10__________ 11 12_____ 13___ 14_____ 15 16_ 17 18____ 19_________ 20 21___ 22___ 23_____ 24 25________ 26__ 27 28_____ 29____ 30

Chunks:
  TruePositive nam [6,6] = Kolibisk (confidence=0.98)
  TruePositive nam [9,9] = Głuchówki (confidence=0.94)
  TruePositive nam [19,19] = Dziechcinki (confidence=0.84)
  TruePositive nam [26,26] = PTTK (confidence=0.96)
  TruePositive nam [28,29] = Wielkim Stożku (confidence=0.50)

2017-06-14 20:20:27,058 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 11 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101241.xml
(ChunkerEvaluator) Sentence #112 from 00101241 from sent1

Text  : Nowa Polityka Ekonomiczna
Tokens: 1___ 2_______ 3__________

Chunks:
  TruePositive nam [1,3] = Nowa Polityka Ekonomiczna (confidence=1.00)

(ChunkerEvaluator) Sentence #113 from 00101241 from sent2

Text  : Nowa Polityka Ekonomiczna ( ros . Новая экономическая политика ,_ Nowaja ekonomiczeskaja politika w_ skrócie NEP )_ –_ określenie doktryny polityki gospodarczej Rosji Radzieckiej i_ później ZSRR w_ latach 1921 -_ 1929 ._
Tokens: 1___ 2_______ 3__________ 4 5__ 6 7____ 8____________ 9_______ 10 11____ 12_____________ 13______ 14 15_____ 16_ 17 18 19________ 20______ 21______ 22__________ 23___ 24_________ 25 26_____ 27__ 28 29____ 30__ 31 32__ 33

Chunks:
  TruePositive nam [1,3] = Nowa Polityka Ekonomiczna (confidence=1.00)
  TruePositive nam [16,16] = NEP (confidence=1.00)
  TruePositive nam [23,24] = Rosji Radzieckiej (confidence=1.00)
  TruePositive nam [27,27] = ZSRR (confidence=1.00)
  FalsePositive nam [7,7] = Новая (confidence=0.77) (incorrect boundry)
  FalseNegative nam [7,9] = Новая экономическая политика
  FalseNegative nam [11,13] = Nowaja ekonomiczeskaja politika

(ChunkerEvaluator) Sentence #114 from 00101241 from sent3

Text  : NEP oznaczał zmianę polityki gospodarczej rządu radzieckiego z komunizmu wojennego i_ wprowadzenie bardziej rynkowych mechanizmów gospodarczych ._
Tokens: 1__ 2_______ 3_____ 4_______ 5___________ 6____ 7___________ 8 9________ 10_______ 11 12__________ 13______ 14_______ 15_________ 16___________ 17

Chunks:
  TruePositive nam [1,1] = NEP (confidence=1.00)

(ChunkerEvaluator) Sentence #115 from 00101241 from sent4

Text  : W tym czasie zezwolono na podjęcie małych prywatnych przedsięwzięć (_ szczególnie w_ rolnictwie oraz usługach )_ ,_ przy pozostawieniu monopolu państwowego w_ dziedzinach dużych gałęzi przemysłu (_ głównie przemysł ciężki )_ ,_ handlu (_ szczególnie handel zagraniczny )_ ,_ bankowości i_ instytucjach finansowych ,_ zezwalając także na koncesjonowaną działalność gospodarczą międzynarodowych przedsiębiorstw ._
Tokens: 1 2__ 3_____ 4________ 5_ 6_______ 7_____ 8_________ 9____________ 10 11_________ 12 13________ 14__ 15______ 16 17 18__ 19___________ 20______ 21_________ 22 23_________ 24____ 25____ 26_______ 27 28_____ 29______ 30____ 31 32 33____ 34 35_________ 36____ 37_________ 38 39 40________ 41 42__________ 43_________ 44 45________ 46___ 47 48____________ 49_________ 50_________ 51______________ 52_____________ 53

Chunks:

(ChunkerEvaluator) Sentence #116 from 00101241 from sent5

Text  : Oficjalnie został przedstawiony przez Lenina i zatwierdzony na X Zjeździe Rosyjskiej Partii Komunistycznej (_ bolszewików )_ ._
Tokens: 1_________ 2_____ 3____________ 4____ 5_____ 6 7___________ 8_ 9 10______ 11________ 12____ 13____________ 14 15_________ 16 17

Chunks:
  TruePositive nam [5,5] = Lenina (confidence=1.00)
  FalsePositive nam [9,13] = X Zjeździe Rosyjskiej Partii Komunistycznej (confidence=0.97) (incorrect boundry)
  FalseNegative nam [9,10] = X Zjeździe
  FalseNegative nam [11,13] = Rosyjskiej Partii Komunistycznej

(ChunkerEvaluator) Sentence #117 from 00101241 from sent6

Text  : 21 marca 1921 roku został podjęty dekret w sprawie zastąpieniu prodrazwerstki przez prodnalog wydanego przez Ogólnorosyjski Komitet Wykonawczy Rad ,_ który zastąpił obowiązkowe kontyngenty w_ rolnictwie ,_ podatkiem żywnościowym ._
Tokens: 1_ 2____ 3___ 4___ 5_____ 6______ 7_____ 8 9______ 10_________ 11____________ 12___ 13_______ 14______ 15___ 16____________ 17_____ 18________ 19_ 20 21___ 22______ 23_________ 24_________ 25 26________ 27 28_______ 29__________ 30

Chunks:
  TruePositive nam [16,19] = Ogólnorosyjski Komitet Wykonawczy Rad (confidence=1.00)

(ChunkerEvaluator) Sentence #118 from 00101241 from sent7

Text  : Oficjalnie wprowadzenie NEP-u było wymuszone odbudową gospodarki narodowej oraz małym uprzemysłowieniem Rosji ,_ gdzie w_ rolnictwie było zatrudnionych 80 %_ społeczeństwa ,_ co uniemożliwiało budowę socjalizmu ._
Tokens: 1_________ 2___________ 3____ 4___ 5________ 6_______ 7_________ 8________ 9___ 10___ 11_______________ 12___ 13 14___ 15 16________ 17__ 18___________ 19 20 21___________ 22 23 24____________ 25____ 26________ 27

Chunks:
  TruePositive nam [3,3] = NEP-u (confidence=1.00)
  TruePositive nam [12,12] = Rosji (confidence=1.00)

(ChunkerEvaluator) Sentence #119 from 00101241 from sent8

Text  : Przyczynami wprowadzenia tej polityki było także narastające niezadowolenie społeczne z_ powodu tragicznej sytuacji gospodarczej ._
Tokens: 1__________ 2___________ 3__ 4_______ 5___ 6____ 7__________ 8_____________ 9________ 10 11____ 12________ 13______ 14__________ 15

Chunks:

(ChunkerEvaluator) Sentence #120 from 00101241 from sent9

Text  : NEP odegrał istotną rolę w odbudowie gospodarki narodowej ze zniszczeń I_ wojny światowej oraz wojny domowej w_ Rosji ._
Tokens: 1__ 2______ 3______ 4___ 5 6________ 7_________ 8________ 9_ 10_______ 11 12___ 13_______ 14__ 15___ 16_____ 17 18___ 19

Chunks:
  TruePositive nam [1,1] = NEP (confidence=1.00)
  TruePositive nam [11,13] = I wojny światowej (confidence=1.00)
  FalsePositive nam [18,18] = Rosji (confidence=1.00) (incorrect boundry)
  FalseNegative nam [15,18] = wojny domowej w Rosji

(ChunkerEvaluator) Sentence #121 from 00101241 from sent10

Text  : Jednocześnie należy wspomnieć , że po 1925 roku można zauważyć próby obalenia założeń NEP-u przez jego przeciwników wśród samych bolszewików ._
Tokens: 1___________ 2_____ 3________ 4 5_ 6_ 7___ 8___ 9____ 10______ 11___ 12______ 13_____ 14___ 15___ 16__ 17__________ 18___ 19____ 20_________ 21

Chunks:
  TruePositive nam [14,14] = NEP-u (confidence=0.98)

(ChunkerEvaluator) Sentence #122 from 00101241 from sent11

Text  : W końcu 1929 roku odrzucono całkowicie NEP , przez kolektywizację rolnictwa ._
Tokens: 1 2____ 3___ 4___ 5________ 6_________ 7__ 8 9____ 10____________ 11_______ 12

Chunks:
  TruePositive nam [7,7] = NEP (confidence=0.92)

(ChunkerEvaluator) Sentence #123 from 00101241 from sent12

Text  : Stalin zastąpił tę doktrynę gospodarczą systemem gospodarki nakazowo - rozdzielczej ,_ powracając do wielu założeń komunizmu wojennego ._
Tokens: 1_____ 2_______ 3_ 4_______ 5__________ 6_______ 7_________ 8_______ 9 10__________ 11 12________ 13 14___ 15_____ 16_______ 17_______ 18

Chunks:
  TruePositive nam [1,1] = Stalin (confidence=0.77)

(ChunkerEvaluator) Sentence #124 from 00101241 from sent13

Text  : Przyczyny wprowadzenia NEP-u
Tokens: 1________ 2___________ 3____

Chunks:
  TruePositive nam [3,3] = NEP-u (confidence=0.98)

(ChunkerEvaluator) Sentence #125 from 00101241 from sent14

Text  : Sytuacja Rosji w przededniu rewolucji październikowej
Tokens: 1_______ 2____ 3 4_________ 5________ 6______________

Chunks:
  TruePositive nam [2,2] = Rosji (confidence=0.99)
  FalseNegative nam [5,6] = rewolucji październikowej

(ChunkerEvaluator) Sentence #126 from 00101241 from sent15

Text  : Gdy rozpoczęła się I wojna światowa , Rosja nie była przygotowana do wojny ._
Tokens: 1__ 2_________ 3__ 4 5____ 6_______ 7 8____ 9__ 10__ 11__________ 12 13___ 14

Chunks:
  TruePositive nam [4,6] = I wojna światowa (confidence=0.97)
  TruePositive nam [8,8] = Rosja (confidence=1.00)

(ChunkerEvaluator) Sentence #127 from 00101241 from sent16

Text  : Jej gospodarka potrzebowała kapitału , w dużym stopniu pochodzącego z_ zagranicznych źródeł ._
Tokens: 1__ 2_________ 3___________ 4_______ 5 6 7____ 8______ 9___________ 10 11___________ 12____ 13

Chunks:

(ChunkerEvaluator) Sentence #128 from 00101241 from sent17

Text  : Przemysł zbrojeniowy zaczął się szybko rozwijać , a mobilizacja wojsk pogarszała sytuację zacofanej gospodarki ,_ szczególnie w_ rolnictwie ,_ gdzie najbardziej odczuwano brak rąk do pracy ._
Tokens: 1_______ 2__________ 3_____ 4__ 5_____ 6_______ 7 8 9__________ 10___ 11________ 12______ 13_______ 14________ 15 16_________ 17 18________ 19 20___ 21_________ 22_______ 23__ 24_ 25 26___ 27

Chunks:

(ChunkerEvaluator) Sentence #129 from 00101241 from sent18

Text  : W efekcie spowodowało to wzrost cen i zaostrzenie konfliktów społecznych w_ tak już nie najspokojniejszej sytuacji politycznej ._
Tokens: 1 2______ 3__________ 4_ 5_____ 6__ 7 8__________ 9_________ 10_________ 11 12_ 13_ 14_ 15_______________ 16______ 17_________ 18

Chunks:

(ChunkerEvaluator) Sentence #130 from 00101241 from sent19

Text  : Przyniosło to anarchizację gospodarki i coraz częstsze powstania przeciwko władz ._
Tokens: 1_________ 2_ 3___________ 4_________ 5 6____ 7_______ 8________ 9________ 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #131 from 00101241 from sent20

Text  : Doprowadzono do rewolucji lutowej i w efekcie powołania pierwszej rosyjskiej republiki z_ Rządem Tymczasowym na czele ._
Tokens: 1___________ 2_ 3________ 4______ 5 6 7______ 8________ 9________ 10________ 11_______ 12 13____ 14_________ 15 16___ 17

Chunks:
  FalseNegative nam [3,4] = rewolucji lutowej
  FalseNegative nam [13,14] = Rządem Tymczasowym

(ChunkerEvaluator) Sentence #132 from 00101241 from sent21

Text  : Jednak i nowe władze nie potrafiły poradzić sobie z ciągle pogarszającą się sytuacją ,_ głównie z_ powodu niewyprowadzenia Rosji z_ wojny ._
Tokens: 1_____ 2 3___ 4_____ 5__ 6________ 7_______ 8____ 9 10____ 11__________ 12_ 13______ 14 15_____ 16 17____ 18______________ 19___ 20 21___ 22

Chunks:
  TruePositive nam [19,19] = Rosji (confidence=1.00)

(ChunkerEvaluator) Sentence #133 from 00101241 from sent22

Text  : Taka sytuacja sprzyjała Rosyjskiej Socjal - Demokratycznej Partii Robotniczej (_ bolszewików )_ ,_ która jeszcze przed rozpoczęciem wojny głosiła hasła pacyfistyczne i_ roztaczała przed społeczeństwem wizję państwa nowego typu ._
Tokens: 1___ 2_______ 3________ 4_________ 5_____ 6 7_____________ 8_____ 9__________ 10 11_________ 12 13 14___ 15_____ 16___ 17__________ 18___ 19_____ 20___ 21___________ 22 23________ 24___ 25____________ 26___ 27_____ 28____ 29__ 30

Chunks:
  TruePositive nam [4,9] = Rosyjskiej Socjal - Demokratycznej Partii Robotniczej (confidence=0.97)

2017-06-14 20:20:27,176 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 12 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101249.xml
(ChunkerEvaluator) Sentence #134 from 00101249 from sent1

Text  : Gmina Brønderslev ( 1970 - 2006 )
Tokens: 1____ 2__________ 3 4___ 5 6___ 7

Chunks:
  TruePositive nam [2,2] = Brønderslev (confidence=0.88)

(ChunkerEvaluator) Sentence #135 from 00101249 from sent2

Text  : Gmina Brønderslev ( duń . Brønderslev Kommune ) - istniejąca w_ latach 1970 -_ 2006 gmina w_ Danii w_ okręgu północnej Jutlandii (_ Nordjyllands Amt )_ ._
Tokens: 1____ 2__________ 3 4__ 5 6__________ 7______ 8 9 10________ 11 12____ 13__ 14 15__ 16___ 17 18___ 19 20____ 21_______ 22_______ 23 24__________ 25_ 26 27

Chunks:
  TruePositive nam [2,2] = Brønderslev (confidence=0.97)
  TruePositive nam [6,7] = Brønderslev Kommune (confidence=1.00)
  TruePositive nam [18,18] = Danii (confidence=1.00)
  TruePositive nam [24,25] = Nordjyllands Amt (confidence=0.70)
  FalsePositive nam [22,22] = Jutlandii (confidence=0.65) (incorrect boundry)
  FalseNegative nam [21,22] = północnej Jutlandii

(ChunkerEvaluator) Sentence #136 from 00101249 from sent3

Text  : Siedzibą władz gminy było miasto Brønderslev .
Tokens: 1_______ 2____ 3____ 4___ 5_____ 6__________ 7

Chunks:
  TruePositive nam [6,6] = Brønderslev (confidence=1.00)

(ChunkerEvaluator) Sentence #137 from 00101249 from sent4

Text  : Gmina Brønderslev została utworzona 1 kwietnia 1970 na mocy reformy podziału administracyjnego Danii ._
Tokens: 1____ 2__________ 3______ 4________ 5 6_______ 7___ 8_ 9___ 10_____ 11______ 12_______________ 13___ 14

Chunks:
  TruePositive nam [2,2] = Brønderslev (confidence=0.99)
  TruePositive nam [13,13] = Danii (confidence=1.00)

(ChunkerEvaluator) Sentence #138 from 00101249 from sent5

Text  : Po kolejnej reformie administracyjnej w roku 2007 weszła w skład nowej gminy Brønderslev ._
Tokens: 1_ 2_______ 3_______ 4_______________ 5 6___ 7___ 8_____ 9 10___ 11___ 12___ 13_________ 14

Chunks:
  TruePositive nam [13,13] = Brønderslev (confidence=1.00)

(ChunkerEvaluator) Sentence #139 from 00101249 from sent6

Text  : Dane liczbowe
Tokens: 1___ 2_______

Chunks:

(ChunkerEvaluator) Sentence #140 from 00101249 from sent7

Text  : Liczba ludności : ( ♀ 10 129 + ♂ 9_ 978 )_ =_ 20 107
Tokens: 1_____ 2_______ 3 4 5 6_ 7__ 8 9 10 11_ 12 13 14 15_

Chunks:

(ChunkerEvaluator) Sentence #141 from 00101249 from sent8

Text  : * wiek 0 - 6 : 8 , 5 %_
Tokens: 1 2___ 3 4 5 6 7 8 9 10

Chunks:

(ChunkerEvaluator) Sentence #142 from 00101249 from sent9

Text  : * wiek 7 - 16 : 13 , 2 %_
Tokens: 1 2___ 3 4 5_ 6 7_ 8 9 10

Chunks:

(ChunkerEvaluator) Sentence #143 from 00101249 from sent10

Text  : * wiek 17 - 66 : 62 , 8 %_
Tokens: 1 2___ 3_ 4 5_ 6 7_ 8 9 10

Chunks:

(ChunkerEvaluator) Sentence #144 from 00101249 from sent11

Text  : * wiek 67 + : 15 , 6 %
Tokens: 1 2___ 3_ 4 5 6_ 7 8 9

Chunks:

(ChunkerEvaluator) Sentence #145 from 00101249 from sent12

Text  : zagęszczenie ludności : 63 , 6 osób / km²
Tokens: 1___________ 2_______ 3 4_ 5 6 7___ 8 9__

Chunks:

(ChunkerEvaluator) Sentence #146 from 00101249 from sent13

Text  : bezrobocie : 7 , 4 % osób w wieku 17 -_ 66 lat
Tokens: 1_________ 2 3 4 5 6 7___ 8 9____ 10 11 12 13_

Chunks:

(ChunkerEvaluator) Sentence #147 from 00101249 from sent14

Text  : cudzoziemcy z UE , Skandynawii i USA : 69 na 10 ._ 000 osób
Tokens: 1__________ 2 3_ 4 5__________ 6 7__ 8 9_ 10 11 12 13_ 14__

Chunks:
  TruePositive nam [3,3] = UE (confidence=1.00)
  TruePositive nam [5,5] = Skandynawii (confidence=0.98)
  TruePositive nam [7,7] = USA (confidence=1.00)

(ChunkerEvaluator) Sentence #148 from 00101249 from sent15

Text  : cudzoziemcy z krajów Trzeciego Świata : 155 na 10 ._ 000 osób
Tokens: 1__________ 2 3_____ 4________ 5_____ 6 7__ 8_ 9_ 10 11_ 12__

Chunks:
  TruePositive nam [4,5] = Trzeciego Świata (confidence=0.99)

(ChunkerEvaluator) Sentence #149 from 00101249 from sent16

Text  : liczba szkół podstawowych : 7 ( liczba klas : 122 )_
Tokens: 1_____ 2____ 3___________ 4 5 6 7_____ 8___ 9 10_ 11

Chunks:

2017-06-14 20:20:27,225 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 13 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101281.xml
(ChunkerEvaluator) Sentence #150 from 00101281 from sent1

Text  : Niedziela Wielkanocna
Tokens: 1________ 2__________

Chunks:
  TruePositive nam [1,2] = Niedziela Wielkanocna (confidence=1.00)

(ChunkerEvaluator) Sentence #151 from 00101281 from sent2

Text  : Niedziela Wielkanocna ( nazywana też Wielką Niedzielą , Niedzielą Zmartwychwstania Pańskiego ,_ I_ Niedzielą Wielkanocną )_ –_ pierwszy dzień świąt wielkanocnych ._
Tokens: 1________ 2__________ 3 4_______ 5__ 6_____ 7________ 8 9________ 10______________ 11_______ 12 13 14_______ 15_________ 16 17 18______ 19___ 20___ 21___________ 22

Chunks:
  TruePositive nam [1,2] = Niedziela Wielkanocna (confidence=0.71)
  TruePositive nam [6,7] = Wielką Niedzielą (confidence=0.95)
  TruePositive nam [9,11] = Niedzielą Zmartwychwstania Pańskiego (confidence=1.00)
  TruePositive nam [13,15] = I Niedzielą Wielkanocną (confidence=1.00)
  FalseNegative nam [20,21] = świąt wielkanocnych

(ChunkerEvaluator) Sentence #152 from 00101281 from sent3

Text  : Jest to również ostatni dzień Triduum Paschalnego , liczonego według kalendarza żydowskiego od wieczora Wielkiego Czwartku do wieczornych nieszporów w_ Niedzielę ._
Tokens: 1___ 2_ 3______ 4______ 5____ 6______ 7__________ 8 9________ 10____ 11________ 12_________ 13 14______ 15_______ 16______ 17 18_________ 19________ 20 21_______ 22

Chunks:
  TruePositive nam [6,7] = Triduum Paschalnego (confidence=1.00)
  TruePositive nam [15,16] = Wielkiego Czwartku (confidence=0.74)
  FalsePositive nam [21,21] = Niedzielę (confidence=0.85) (incorrect boundry)

(ChunkerEvaluator) Sentence #153 from 00101281 from sent4

Text  : Polska tradycja
Tokens: 1_____ 2_______

Chunks:

(ChunkerEvaluator) Sentence #154 from 00101281 from sent5

Text  : Do XVIII wieku msze rezurekcyjne odprawiane były o północy ,_ potem świętowano rezurekcję rano (_ resurrectio łac ._ oznacza zmartwychwstanie )_ ._
Tokens: 1_ 2____ 3____ 4___ 5___________ 6_________ 7___ 8 9______ 10 11___ 12________ 13________ 14__ 15 16_________ 17_ 18 19_____ 20______________ 21 22

Chunks:

(ChunkerEvaluator) Sentence #155 from 00101281 from sent6

Text  : Do dnia dzisiejszego msze rezurekcyjne są odprawiane o poranku ._
Tokens: 1_ 2___ 3___________ 4___ 5___________ 6_ 7_________ 8 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #156 from 00101281 from sent7

Text  : Zapowiada ją uroczyste bicie w dzwony , głoszące , że Chrystus zmartwychwstał ._
Tokens: 1________ 2_ 3________ 4____ 5 6_____ 7 8_______ 9 10 11______ 12____________ 13

Chunks:
  TruePositive nam [11,11] = Chrystus (confidence=0.97)

(ChunkerEvaluator) Sentence #157 from 00101281 from sent8

Text  : Jednocześnie słychać kanonadę ze strzelb , petard , armatek i_ moździerzy ,_ a_ cały ten harmider ma budzić świat do życia ._
Tokens: 1___________ 2______ 3_______ 4_ 5______ 6 7_____ 8 9______ 10 11________ 12 13 14__ 15_ 16______ 17 18____ 19___ 20 21___ 22

Chunks:

(ChunkerEvaluator) Sentence #158 from 00101281 from sent9

Text  : Mszę poprzedza uroczysta procesja z Najświętszym Sakramentem .
Tokens: 1___ 2________ 3________ 4_______ 5 6___________ 7__________ 8

Chunks:

(ChunkerEvaluator) Sentence #159 from 00101281 from sent10

Text  : Rozpoczyna się przy znajdującym się w kościele symbolicznym Grobie Pańskim ,_ przy którym ksiądz śpiewem oznajmia zmartwychwstanie Chrystusa ._
Tokens: 1_________ 2__ 3___ 4__________ 5__ 6 7_______ 8___________ 9_____ 10_____ 11 12__ 13____ 14____ 15_____ 16______ 17______________ 18_______ 19

Chunks:
  TruePositive nam [9,10] = Grobie Pańskim (confidence=0.81)
  TruePositive nam [18,18] = Chrystusa (confidence=0.98)

(ChunkerEvaluator) Sentence #160 from 00101281 from sent11

Text  : Następnie , niosąc monstrancję z Hostią kapłan prowadzi procesję dookoła kościoła ,_ przy którym dawniej tradycyjnie usytuowany był cmentarz ,_ aby również zmarłym ogłosić zmartwychwstanie ._
Tokens: 1________ 2 3_____ 4__________ 5 6_____ 7_____ 8_______ 9_______ 10_____ 11______ 12 13__ 14____ 15_____ 16_________ 17________ 18_ 19______ 20 21_ 22_____ 23_____ 24_____ 25______________ 26

Chunks:
  FalsePositive nam [6,6] = Hostią (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #161 from 00101281 from sent12

Text  : W procesji niesiona jest również figura Chrystusa Zmartwychwstałego .
Tokens: 1 2_______ 3_______ 4___ 5______ 6_____ 7________ 8________________ 9

Chunks:
  TruePositive nam [7,8] = Chrystusa Zmartwychwstałego (confidence=0.98)

(ChunkerEvaluator) Sentence #162 from 00101281 from sent13

Text  : Na początku mszy wznoszony jest okrzyk radości Alleluja ( z_ hebr ._ Chwalcie Boga )_ ,_ będący przyśpiewem w_ pieśniach wielkanocnych ._
Tokens: 1_ 2_______ 3___ 4________ 5___ 6_____ 7______ 8_______ 9 10 11__ 12 13______ 14__ 15 16 17____ 18_________ 19 20_______ 21___________ 22

Chunks:
  TruePositive nam [14,14] = Boga (confidence=0.98)
  FalsePositive nam [8,8] = Alleluja (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #163 from 00101281 from sent14

Text  : Oznaką radości były również dawniej używane w okresie wielkanocnym pozdrowienia :_ Chrystus zmartwychwstał z_ odpowiedzią :_ Zmartwychwstał prawdziwie ._
Tokens: 1_____ 2______ 3___ 4______ 5______ 6______ 7 8______ 9___________ 10__________ 11 12______ 13____________ 14 15_________ 16 17____________ 18________ 19

Chunks:
  TruePositive nam [12,12] = Chrystus (confidence=0.98)

(ChunkerEvaluator) Sentence #164 from 00101281 from sent15

Text  : W polskim zwyczaju , po porannej rezurekcji rodzina zasiada do uroczystego śniadania wielkanocnego ,_ które rozpoczyna się składaniem życzeń i_ dzieleniem się święconką z_ koszyczka ._
Tokens: 1 2______ 3_______ 4 5_ 6_______ 7_________ 8______ 9______ 10 11_________ 12_______ 13___________ 14 15___ 16________ 17_ 18________ 19____ 20 21________ 22_ 23_______ 24 25_______ 26

Chunks:

(ChunkerEvaluator) Sentence #165 from 00101281 from sent16

Text  : Na stołach znajdują się jajka , wędliny , wielkanocne baby i_ mazurki ._
Tokens: 1_ 2______ 3_______ 4__ 5____ 6 7______ 8 9__________ 10__ 11 12_____ 13

Chunks:

(ChunkerEvaluator) Sentence #166 from 00101281 from sent17

Text  : Stoły zdobione są bukietami z bazi i pierwszych wiosennych kwiatów ._
Tokens: 1____ 2_______ 3_ 4________ 5 6___ 7 8_________ 9_________ 10_____ 11

Chunks:

(ChunkerEvaluator) Sentence #167 from 00101281 from sent18

Text  : W niektórych regionach , np . na Śląsku , rodzice chowali w_ domu ,_ ogrodzie koszyczki ze słodyczami ,_ prezenty od wielkanocnego zajączka ,_ na poszukiwanie których wyruszały dzieci ._
Tokens: 1 2_________ 3________ 4 5_ 6 7_ 8_____ 9 10_____ 11_____ 12 13__ 14 15______ 16_______ 17 18________ 19 20______ 21 22___________ 23______ 24 25 26__________ 27_____ 28_______ 29____ 30

Chunks:
  TruePositive nam [8,8] = Śląsku (confidence=0.88)

(ChunkerEvaluator) Sentence #168 from 00101281 from sent19

Text  : Zwyczaj ten obecnie rozpowszechnił się w formie obdarowywania się w_ tym dniu drobnymi upominkami ,_ tzw ._ zajączkami ._
Tokens: 1______ 2__ 3______ 4_____________ 5__ 6 7_____ 8____________ 9__ 10 11_ 12__ 13______ 14________ 15 16_ 17 18________ 19

Chunks:

(ChunkerEvaluator) Sentence #169 from 00101281 from sent20

Text  : Niedziela , podobnie jak i Poniedziałek , są w Polsce dniami wolnymi od pracy ._
Tokens: 1________ 2 3_______ 4__ 5 6___________ 7 8_ 9 10____ 11____ 12_____ 13 14___ 15

Chunks:
  TruePositive nam [10,10] = Polsce (confidence=1.00)
  FalsePositive nam [6,6] = Poniedziałek (confidence=0.96) (incorrect boundry)

(ChunkerEvaluator) Sentence #170 from 00101281 from sent21

Text  : Tradycyjnie spędza się je w domu , w gronie rodzinnym ._
Tokens: 1__________ 2_____ 3__ 4_ 5 6___ 7 8 9_____ 10_______ 11

Chunks:

2017-06-14 20:20:27,317 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 14 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101309.xml
(ChunkerEvaluator) Sentence #171 from 00101309 from sent1

Text  : Historia
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #172 from 00101309 from sent2

Text  : Po ogłoszeniu przez Włochy rozejmu 8 września , a następnie powstaniu Włoskiej Republiki Socjalnej 15 września 1943 r_ ._ ,_ rozpoczęło się tworzenie jej sił zbrojnych ._
Tokens: 1_ 2_________ 3____ 4_____ 5______ 6 7_______ 8 9 10_______ 11_______ 12______ 13_______ 14_______ 15 16______ 17__ 18 19 20 21________ 22_ 23_______ 24_ 25_ 26_______ 27

Chunks:
  TruePositive nam [4,4] = Włochy (confidence=0.99)
  TruePositive nam [12,14] = Włoskiej Republiki Socjalnej (confidence=1.00)

(ChunkerEvaluator) Sentence #173 from 00101309 from sent3

Text  : Niemcy zgodzili się na sformowanie czterech dywizji wojsk lądowych ._
Tokens: 1_____ 2_______ 3__ 4_ 5__________ 6_______ 7______ 8____ 9_______ 10

Chunks:
  TruePositive nam [1,1] = Niemcy (confidence=0.84)

(ChunkerEvaluator) Sentence #174 from 00101309 from sent4

Text  : 25 listopada 1943 r . w Heuberg w Bawarii rozpoczęło się szkolenie ok ._ 1_ ,_ 2_ tys ._ oficerów na czele z_ gen ._ Mario Carlonim przeznaczonych dla 4_ Dywizji Bersalierów "_ Italia "_ (_ później numerację zmieniono na 1_ )_ ._
Tokens: 1_ 2________ 3___ 4 5 6 7______ 8 9______ 10________ 11_ 12_______ 13 14 15 16 17 18_ 19 20______ 21 22___ 23 24_ 25 26___ 27______ 28____________ 29_ 30 31_____ 32_________ 33 34____ 35 36 37_____ 38_______ 39_______ 40 41 42 43

Chunks:
  TruePositive nam [7,7] = Heuberg (confidence=1.00)
  TruePositive nam [9,9] = Bawarii (confidence=1.00)
  FalsePositive nam [26,34] = Mario Carlonim przeznaczonych dla 4 Dywizji Bersalierów " Italia (confidence=1.00) (incorrect boundry)
  FalseNegative nam [26,27] = Mario Carlonim
  FalseNegative nam [30,35] = 4 Dywizji Bersalierów " Italia "

(ChunkerEvaluator) Sentence #175 from 00101309 from sent5

Text  : Ochotnicy pochodzili z różnych jednostek b . armii włoskiej ._
Tokens: 1________ 2_________ 3 4______ 5________ 6 7 8____ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #176 from 00101309 from sent6

Text  : W maju i czerwcu 1944 r . przybyli z Włoch pozostali rekruci ._
Tokens: 1 2___ 3 4______ 5___ 6 7 8_______ 9 10___ 11_______ 12_____ 13

Chunks:
  TruePositive nam [10,10] = Włoch (confidence=0.99)

(ChunkerEvaluator) Sentence #177 from 00101309 from sent7

Text  : W poł . lipca gen . M . Carloni objął dowództwo 4_ Dywizji Alpejskiej "_ Monterosa "_ ._
Tokens: 1 2__ 3 4____ 5__ 6 7 8 9______ 10___ 11_______ 12 13_____ 14________ 15 16_______ 17 18

Chunks:
  TruePositive nam [7,9] = M . Carloni (confidence=0.97)
  FalsePositive nam [12,16] = 4 Dywizji Alpejskiej " Monterosa (confidence=0.67) (incorrect boundry)
  FalseNegative nam [12,17] = 4 Dywizji Alpejskiej " Monterosa "

(ChunkerEvaluator) Sentence #178 from 00101309 from sent8

Text  : Nowym dowódcą 1 Dywizji Bersalierów " Italia " został gen ._ Guido Manardi ._
Tokens: 1____ 2______ 3 4______ 5__________ 6 7_____ 8 9_____ 10_ 11 12___ 13_____ 14

Chunks:
  TruePositive nam [12,13] = Guido Manardi (confidence=1.00)
  FalsePositive nam [3,7] = 1 Dywizji Bersalierów " Italia (confidence=0.88) (incorrect boundry)
  FalseNegative nam [3,8] = 1 Dywizji Bersalierów " Italia "

(ChunkerEvaluator) Sentence #179 from 00101309 from sent9

Text  : Liczebność dywizji osiągnęła ok . 14 tys . żołnierzy ._
Tokens: 1_________ 2______ 3________ 4_ 5 6_ 7__ 8 9________ 10

Chunks:

(ChunkerEvaluator) Sentence #180 from 00101309 from sent10

Text  : Składała się z dwóch pułków piechoty i pułku artylerii oraz pododdziałów wsparcia i_ służb ._
Tokens: 1_______ 2__ 3 4____ 5_____ 6_______ 7 8____ 9________ 10__ 11__________ 12______ 13 14___ 15

Chunks:

(ChunkerEvaluator) Sentence #181 from 00101309 from sent11

Text  : Niemcy zamierzali wysłać Włochów na front zachodni .
Tokens: 1_____ 2_________ 3_____ 4______ 5_ 6____ 7_______ 8

Chunks:
  TruePositive nam [4,4] = Włochów (confidence=0.99)
  FalseNegative nam [1,1] = Niemcy

(ChunkerEvaluator) Sentence #182 from 00101309 from sent12

Text  : Postanowili też zredukować formowaną dywizję do stanu brygady lekkiej piechoty ._
Tokens: 1__________ 2__ 3_________ 4________ 5______ 6_ 7____ 8______ 9______ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #183 from 00101309 from sent13

Text  : Spotkało się to ze zdecydowanym sprzeciwem strony włoskiej .
Tokens: 1_______ 2__ 3_ 4_ 5___________ 6_________ 7_____ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #184 from 00101309 from sent14

Text  : Na pocz . grudnia dywizja powróciła do Włoch .
Tokens: 1_ 2___ 3 4______ 5______ 6________ 7_ 8____ 9

Chunks:
  TruePositive nam [8,8] = Włoch (confidence=1.00)

(ChunkerEvaluator) Sentence #185 from 00101309 from sent15

Text  : Skierowano ją na Linię Gotów , gdzie dołączyła do 4_ Dywizji Alpejskiej "_ Monterosa "_ ._
Tokens: 1_________ 2_ 3_ 4____ 5____ 6 7____ 8________ 9_ 10 11_____ 12________ 13 14_______ 15 16

Chunks:
  TruePositive nam [4,5] = Linię Gotów (confidence=0.94)
  FalsePositive nam [11,14] = Dywizji Alpejskiej " Monterosa (confidence=0.46) (incorrect boundry)
  FalseNegative nam [10,15] = 4 Dywizji Alpejskiej " Monterosa "

(ChunkerEvaluator) Sentence #186 from 00101309 from sent16

Text  : Wkrótce doszło do dezercji , które zapoczątkowali żołnierze II Batalionu 3_ Pułku Bersalierów ,_ pochodzący w_ większości z_ południowych Włoch ._
Tokens: 1______ 2_____ 3_ 4_______ 5 6____ 7_____________ 8________ 9_ 10_______ 11 12___ 13_________ 14 15________ 16 17________ 18 19__________ 20___ 21

Chunks:
  TruePositive nam [20,20] = Włoch (confidence=0.99)
  FalsePositive nam [9,13] = II Batalionu 3 Pułku Bersalierów (confidence=0.99) (incorrect boundry)
  FalseNegative nam [9,10] = II Batalionu
  FalseNegative nam [11,13] = 3 Pułku Bersalierów

(ChunkerEvaluator) Sentence #187 from 00101309 from sent17

Text  : Pod koniec stycznia 1945 r . wojska amerykańskie zaatakowały pozycje batalionu ,_ ale wbrew przewidywaniom zostały zmuszone do odwrotu ._
Tokens: 1__ 2_____ 3_______ 4___ 5 6 7_____ 8___________ 9__________ 10_____ 11_______ 12 13_ 14___ 15____________ 16_____ 17______ 18 19_____ 20

Chunks:

(ChunkerEvaluator) Sentence #188 from 00101309 from sent18

Text  : Z powodu aktywności partyzantów nadal trwały dezercje , stając się coraz poważniejszym problemem ._
Tokens: 1 2_____ 3_________ 4__________ 5____ 6_____ 7_______ 8 9_____ 10_ 11___ 12___________ 13_______ 14

Chunks:

(ChunkerEvaluator) Sentence #189 from 00101309 from sent19

Text  : W lutym kolejnym dowódcą dywizji został ponownie gen . M_ ._ Carloni ._
Tokens: 1 2____ 3_______ 4______ 5______ 6_____ 7_______ 8__ 9 10 11 12_____ 13

Chunks:
  TruePositive nam [10,12] = M . Carloni (confidence=0.99)

(ChunkerEvaluator) Sentence #190 from 00101309 from sent20

Text  : W poł . marca Amerykanie w ramach ofensywy nad rzeką Serchio ponownie przeprowadzili atak na pozycje dywizji ,_ ale bez rezultatu ._
Tokens: 1 2__ 3 4____ 5_________ 6 7_____ 8_______ 9__ 10___ 11_____ 12______ 13____________ 14__ 15 16_____ 17_____ 18 19_ 20_ 21_______ 22

Chunks:
  TruePositive nam [5,5] = Amerykanie (confidence=1.00)
  TruePositive nam [11,11] = Serchio (confidence=1.00)

(ChunkerEvaluator) Sentence #191 from 00101309 from sent21

Text  : W odpowiedzi Niemcy i Włosi przeprowadzili zaskakujący kontratak , który przyniósł aliantom pewne straty ._
Tokens: 1 2_________ 3_____ 4 5____ 6_____________ 7__________ 8________ 9 10___ 11_______ 12______ 13___ 14____ 15

Chunks:
  TruePositive nam [3,3] = Niemcy (confidence=1.00)
  TruePositive nam [5,5] = Włosi (confidence=1.00)

(ChunkerEvaluator) Sentence #192 from 00101309 from sent22

Text  : 4 kwietnia wzdłuż wybrzeża tyrreńskiego rozpoczęła się nowa ofensywa aliancka ,_ doprowadzając do przełamania pozycji niemieckich ._
Tokens: 1 2_______ 3_____ 4_______ 5___________ 6_________ 7__ 8___ 9_______ 10______ 11 12___________ 13 14_________ 15_____ 16_________ 17

Chunks:

(ChunkerEvaluator) Sentence #193 from 00101309 from sent23

Text  : W celu powstrzymania wojsk alianckich została sformowana Kampfgruppe " Ferrario "_ w_ składzie I_ Batalionu 2_ Pułku Cacciatori degli Appenninini i_ II Grupy Artyleryjskiej 4_ Pułku Artylerii 1_ Dywizji Bersalierów "_ Italia "_ ,_ Batalionu "_ Goffredo Mameli "_ ,_ przydzielonego wcześniej do dywizji oraz Alpejskiej Grupy Artyleryjskiej "_ Bergamo "_ 4_ Dywizji Alpejskiej "_ Monterosa "_ ._
Tokens: 1 2___ 3____________ 4____ 5_________ 6______ 7_________ 8__________ 9 10______ 11 12 13______ 14 15_______ 16 17___ 18________ 19___ 20_________ 21 22 23___ 24____________ 25 26___ 27_______ 28 29_____ 30_________ 31 32____ 33 34 35_______ 36 37______ 38____ 39 40 41____________ 42_______ 43 44_____ 45__ 46________ 47___ 48____________ 49 50_____ 51 52 53_____ 54________ 55 56_______ 57 58

Chunks:
  FalsePositive nam [8,11] = Kampfgruppe " Ferrario " (confidence=0.98) (incorrect boundry)
  FalsePositive nam [14,20] = I Batalionu 2 Pułku Cacciatori degli Appenninini (confidence=0.85) (incorrect boundry)
  FalsePositive nam [22,32] = II Grupy Artyleryjskiej 4 Pułku Artylerii 1 Dywizji Bersalierów " Italia (confidence=0.80) (incorrect boundry)
  FalsePositive nam [35,38] = Batalionu " Goffredo Mameli (confidence=1.00) (incorrect boundry)
  FalsePositive nam [46,56] = Alpejskiej Grupy Artyleryjskiej " Bergamo " 4 Dywizji Alpejskiej " Monterosa (confidence=1.00) (incorrect boundry)
  FalseNegative nam [8,10] = Kampfgruppe " Ferrario
  FalseNegative nam [14,15] = I Batalionu
  FalseNegative nam [16,20] = 2 Pułku Cacciatori degli Appenninini
  FalseNegative nam [22,24] = II Grupy Artyleryjskiej
  FalseNegative nam [25,27] = 4 Pułku Artylerii
  FalseNegative nam [28,33] = 1 Dywizji Bersalierów " Italia "
  FalseNegative nam [35,39] = Batalionu " Goffredo Mameli "
  FalseNegative nam [46,51] = Alpejskiej Grupy Artyleryjskiej " Bergamo "
  FalseNegative nam [52,57] = 4 Dywizji Alpejskiej " Monterosa "

(ChunkerEvaluator) Sentence #194 from 00101309 from sent24

Text  : Grupę bojową dołączono do niemieckiej 148 Dywizji Piechoty .
Tokens: 1____ 2_____ 3________ 4_ 5__________ 6__ 7______ 8_______ 9

Chunks:
  FalsePositive nam [7,8] = Dywizji Piechoty (confidence=0.90) (incorrect boundry)
  FalseNegative nam [6,8] = 148 Dywizji Piechoty

(ChunkerEvaluator) Sentence #195 from 00101309 from sent25

Text  : Nie udało się jednak powstrzymać wojsk alianckich , w związku z_ czym 1_ Dywizja Bersalierów "_ Italia "_ wycofała się na Przełęcz Cerreto ._
Tokens: 1__ 2____ 3__ 4_____ 5__________ 6____ 7_________ 8 9 10_____ 11 12__ 13 14_____ 15_________ 16 17____ 18 19______ 20_ 21 22______ 23_____ 24

Chunks:
  FalsePositive nam [13,17] = 1 Dywizja Bersalierów " Italia (confidence=0.95) (incorrect boundry)
  FalsePositive nam [22,23] = Przełęcz Cerreto (confidence=1.00) (incorrect boundry)
  FalseNegative nam [13,18] = 1 Dywizja Bersalierów " Italia "
  FalseNegative nam [23,23] = Cerreto

(ChunkerEvaluator) Sentence #196 from 00101309 from sent26

Text  : Dywizja była w tym czasie atakowana przez partyzantów .
Tokens: 1______ 2___ 3 4__ 5_____ 6________ 7____ 8__________ 9

Chunks:

(ChunkerEvaluator) Sentence #197 from 00101309 from sent27

Text  : W tej sytuacji przeprowadzono dalszy odwrót w kierunku Parmy ._
Tokens: 1 2__ 3_______ 4_____________ 5_____ 6_____ 7 8_______ 9____ 10

Chunks:
  TruePositive nam [9,9] = Parmy (confidence=0.60)

(ChunkerEvaluator) Sentence #198 from 00101309 from sent28

Text  : W rejonie Medesano nad rzeką Taro w dniach 24 -_ 26 kwietnia doszło do walki z_ wojskami brazylijskimi ._
Tokens: 1 2______ 3_______ 4__ 5____ 6___ 7 8_____ 9_ 10 11 12______ 13____ 14 15___ 16 17______ 18___________ 19

Chunks:
  TruePositive nam [3,3] = Medesano (confidence=0.97)
  TruePositive nam [6,6] = Taro (confidence=0.98)

(ChunkerEvaluator) Sentence #199 from 00101309 from sent29

Text  : Zdołano wprawdzie przebić się , ale sytuacja dywizji była tak dramatyczna ,_ że 29 kwietnia poddała się Brazylijczykom ._
Tokens: 1______ 2________ 3______ 4__ 5 6__ 7_______ 8______ 9___ 10_ 11_________ 12 13 14 15______ 16_____ 17_ 18____________ 19

Chunks:
  TruePositive nam [18,18] = Brazylijczykom (confidence=1.00)

2017-06-14 20:20:27,449 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 15 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101339.xml
(ChunkerEvaluator) Sentence #200 from 00101339 from sent1

Text  : Kurs walutowy
Tokens: 1___ 2_______

Chunks:

(ChunkerEvaluator) Sentence #201 from 00101339 from sent2

Text  : Kurs walutowy – cena danej waluty wyrażona w innej walucie ._
Tokens: 1___ 2_______ 3 4___ 5____ 6_____ 7_______ 8 9____ 10_____ 11

Chunks:

(ChunkerEvaluator) Sentence #202 from 00101339 from sent3

Text  : Miejscem transakcji , na którym przedmiotem są waluty krajowe jest rynek walutowy ;_ sprzedaje się jedną walutę w_ zamian za inną ._
Tokens: 1_______ 2_________ 3 4_ 5_____ 6__________ 7_ 8_____ 9______ 10__ 11___ 12______ 13 14_______ 15_ 16___ 17____ 18 19____ 20 21__ 22

Chunks:

(ChunkerEvaluator) Sentence #203 from 00101339 from sent4

Text  : Mowa jest o rynku , należy podkreślić , że występuje na nim :_ podaż ,_ popyt ,_ i_ cena ._
Tokens: 1___ 2___ 3 4____ 5 6_____ 7_________ 8 9_ 10_______ 11 12_ 13 14___ 15 16___ 17 18 19__ 20

Chunks:

(ChunkerEvaluator) Sentence #204 from 00101339 from sent5

Text  : Na ogół o relacjach wymiany walut , czyli o kursach walut ,_ decyduje podstawowe prawo rynku tworzące kurs (_ cenę )_ równowagi przy zrównaniu popytu z_ podażą danej waluty ._
Tokens: 1_ 2___ 3 4________ 5______ 6____ 7 8____ 9 10_____ 11___ 12 13______ 14________ 15___ 16___ 17______ 18__ 19 20__ 21 22_______ 23__ 24_______ 25____ 26 27____ 28___ 29____ 30

Chunks:

(ChunkerEvaluator) Sentence #205 from 00101339 from sent6

Text  : Czynniki określające podaż danej waluty i popyt na nią
Tokens: 1_______ 2__________ 3____ 4____ 5_____ 6 7____ 8_ 9__

Chunks:

(ChunkerEvaluator) Sentence #206 from 00101339 from sent7

Text  : # Obroty handlowe w stosunkach dwustronnych , wymiana usług ,_ ruch turystyczny ,_ przepływ technologii itp ._ ,_ czyli tzw ._ bilans płatniczy
Tokens: 1 2_____ 3_______ 4 5_________ 6___________ 7 8______ 9____ 10 11__ 12_________ 13 14______ 15_________ 16_ 17 18 19___ 20_ 21 22____ 23_______

Chunks:

(ChunkerEvaluator) Sentence #207 from 00101339 from sent8

Text  : # Polityka walutowa rządu , która między innymi określa system kursów ._
Tokens: 1 2_______ 3_______ 4____ 5 6____ 7_____ 8_____ 9______ 10____ 11____ 12

Chunks:

(ChunkerEvaluator) Sentence #208 from 00101339 from sent9

Text  : Rodzaje kursów walutowych
Tokens: 1______ 2_____ 3_________

Chunks:

(ChunkerEvaluator) Sentence #209 from 00101339 from sent10

Text  : Kurs sztywny – ustalony przez organ państwa , nie podlega wahaniom
Tokens: 1___ 2______ 3 4_______ 5____ 6____ 7______ 8 9__ 10_____ 11______

Chunks:

(ChunkerEvaluator) Sentence #210 from 00101339 from sent11

Text  : Kurs stały – ulega wahaniom wywołanym grą popytu i podaży ,_ zakres wahań jest ściśle określony
Tokens: 1___ 2____ 3 4____ 5_______ 6________ 7__ 8_____ 9 10____ 11 12____ 13___ 14__ 15____ 16_______

Chunks:

(ChunkerEvaluator) Sentence #211 from 00101339 from sent12

Text  : Kurs płynny – kształtowany jedynie poprzez popyt i podaż
Tokens: 1___ 2_____ 3 4___________ 5______ 6______ 7____ 8 9____

Chunks:

(ChunkerEvaluator) Sentence #212 from 00101339 from sent13

Text  : Zmiany kursów
Tokens: 1_____ 2_____

Chunks:

(ChunkerEvaluator) Sentence #213 from 00101339 from sent14

Text  : Kursy stałe
Tokens: 1____ 2____

Chunks:

(ChunkerEvaluator) Sentence #214 from 00101339 from sent15

Text  : * dewaluacja – skokowe , administracyjne zmniejszenie międzynarodowej wartości waluty
Tokens: 1 2_________ 3 4______ 5 6______________ 7___________ 8______________ 9_______ 10____

Chunks:

(ChunkerEvaluator) Sentence #215 from 00101339 from sent16

Text  : * rewaluacja – skokowe , administracyjne zwiększenie międzynarodowej wartości waluty
Tokens: 1 2_________ 3 4______ 5 6______________ 7__________ 8______________ 9_______ 10____

Chunks:

(ChunkerEvaluator) Sentence #216 from 00101339 from sent17

Text  : Kursy płynne
Tokens: 1____ 2_____

Chunks:

(ChunkerEvaluator) Sentence #217 from 00101339 from sent18

Text  : * deprecjacja – spadek międzynarodowej wartości waluty
Tokens: 1 2__________ 3 4_____ 5______________ 6_______ 7_____

Chunks:

(ChunkerEvaluator) Sentence #218 from 00101339 from sent19

Text  : * aprecjacja – wzrost międzynarodowej wartości waluty
Tokens: 1 2_________ 3 4_____ 5______________ 6_______ 7_____

Chunks:

(ChunkerEvaluator) Sentence #219 from 00101339 from sent20

Text  : Funkcje kursu walutowego
Tokens: 1______ 2____ 3_________

Chunks:

(ChunkerEvaluator) Sentence #220 from 00101339 from sent21

Text  : Współczynnik efektywności wymiany – gdy ceny i koszty ustalane są w_ różnej walucie
Tokens: 1___________ 2___________ 3______ 4 5__ 6___ 7 8_____ 9_______ 10 11 12____ 13_____

Chunks:

(ChunkerEvaluator) Sentence #221 from 00101339 from sent22

Text  : Regulator wymiany – zmniejszenie lub zwiekszenie efektywności wymiany łączy się ze zmniejszeniem lub zwiększeniem liczby i_ wartości zawieranych transakcji
Tokens: 1________ 2______ 3 4___________ 5__ 6__________ 7___________ 8______ 9____ 10_ 11 12___________ 13_ 14__________ 15____ 16 17______ 18_________ 19________

Chunks:

(ChunkerEvaluator) Sentence #222 from 00101339 from sent23

Text  : Instrument polityki gospodarczej – aby kurs walutowy był instrumentem polityki gospodarczej musi być podatny na wpływy władz publicznych w_ kraju ._
Tokens: 1_________ 2_______ 3___________ 4 5__ 6___ 7_______ 8__ 9___________ 10______ 11__________ 12__ 13_ 14_____ 15 16____ 17___ 18_________ 19 20___ 21

Chunks:

(ChunkerEvaluator) Sentence #223 from 00101339 from sent24

Text  : Władze monetarne mając możliwość kształtowania kursu walutowego mogą stanowić bądź wspierać określone tendencje zmian
Tokens: 1_____ 2________ 3____ 4________ 5____________ 6____ 7_________ 8___ 9_______ 10__ 11______ 12_______ 13_______ 14___

Chunks:

(ChunkerEvaluator) Sentence #224 from 00101339 from sent25

Text  : Instrument gier finansowych – zróżnicowanie kursów walutowych w przestrzeni i_ w_ czasie pozwala na dokonywanie różnego rodzaju transakcji walutowych ,_ np ._ transakcje arbitrażowe ,_ opcje walutowe ,_ transakcje future
Tokens: 1_________ 2___ 3__________ 4 5____________ 6_____ 7_________ 8 9__________ 10 11 12____ 13_____ 14 15_________ 16_____ 17_____ 18________ 19________ 20 21 22 23________ 24_________ 25 26___ 27______ 28 29________ 30____

Chunks:

(ChunkerEvaluator) Sentence #225 from 00101339 from sent26

Text  : Kurs walutowy jako kryterium porównywalności gospodarek i dochodów – kursy pełnią funkcję jakby wspólnego mianownika przy porównywaniu wartości wyrażonych w_ różnych walutach
Tokens: 1___ 2_______ 3___ 4________ 5______________ 6_________ 7 8_______ 9 10___ 11____ 12_____ 13___ 14_______ 15________ 16__ 17__________ 18______ 19________ 20 21_____ 22______

Chunks:

(ChunkerEvaluator) Sentence #226 from 00101339 from sent27

Text  : Funkcja informacyjna – informuje o cenie walut obcych
Tokens: 1______ 2___________ 3 4________ 5 6____ 7____ 8_____

Chunks:

(ChunkerEvaluator) Sentence #227 from 00101339 from sent28

Text  : Funkcja cenotwórcza – kurs przenosi zagraniczne układy cen na układ krajowy wraz ze wszystkimi wynikającymi stąd ekonomicznymi konsekwencjami dla gospodarki światowej
Tokens: 1______ 2__________ 3 4___ 5_______ 6__________ 7_____ 8__ 9_ 10___ 11_____ 12__ 13 14________ 15__________ 16__ 17___________ 18____________ 19_ 20________ 21_______

Chunks:

2017-06-14 20:20:27,548 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 16 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101383.xml
(ChunkerEvaluator) Sentence #228 from 00101383 from sent1

Text  : Konwencja o ochronie podwodnego dziedzictwa kulturowego
Tokens: 1________ 2 3_______ 4_________ 5__________ 6__________

Chunks:
  FalseNegative nam [1,6] = Konwencja o ochronie podwodnego dziedzictwa kulturowego

(ChunkerEvaluator) Sentence #229 from 00101383 from sent2

Text  : Historia prac legislacyjnych
Tokens: 1_______ 2___ 3_____________

Chunks:

(ChunkerEvaluator) Sentence #230 from 00101383 from sent3

Text  : Konwencja o ochronie podwodnego dziedzictwa kulturowego jest konwencją międzynarodową uchwaloną i_ udostępnioną do podpisu przez UNESCO w_ roku 2001 ._
Tokens: 1________ 2 3_______ 4_________ 5__________ 6__________ 7___ 8________ 9_____________ 10_______ 11 12__________ 13 14_____ 15___ 16____ 17 18__ 19__ 20

Chunks:
  TruePositive nam [16,16] = UNESCO (confidence=1.00)
  FalseNegative nam [1,6] = Konwencja o ochronie podwodnego dziedzictwa kulturowego

(ChunkerEvaluator) Sentence #231 from 00101383 from sent4

Text  : Kwestią szczególnie istotną dla ochrony podwodnego dziedzictwa kulturowego jest fakt ,_ że znaczna jego część spoczywa zgodnie z_ ustaleniami Konwencji o_ prawie morza (_ UNCLOS )_ poza strefą jurysdykcji poszczególnych państw (_ w_ tzw ._ Obszarze )_ ,_ bądź też znajduje się w_ strefie ,_ w_ której jurysdykcja ta jest ograniczona (_ szelf kontynentalny i_ tzw ._ wyłączna strefa ekonomiczna –_ exclusive economic zone ,_ w_ skrócie EEZ )_ ._
Tokens: 1______ 2__________ 3______ 4__ 5______ 6_________ 7__________ 8__________ 9___ 10__ 11 12 13_____ 14__ 15___ 16______ 17_____ 18 19_________ 20_______ 21 22____ 23___ 24 25____ 26 27__ 28____ 29_________ 30____________ 31____ 32 33 34_ 35 36______ 37 38 39__ 40_ 41______ 42_ 43 44_____ 45 46 47____ 48_________ 49 50__ 51_________ 52 53___ 54___________ 55 56_ 57 58______ 59____ 60_________ 61 62_______ 63______ 64__ 65 66 67_____ 68_ 69 70

Chunks:
  TruePositive nam [25,25] = UNCLOS (confidence=0.91)
  FalsePositive nam [68,68] = EEZ (confidence=0.98) (incorrect boundry)
  FalseNegative nam [20,23] = Konwencji o prawie morza
  FalseNegative nam [36,36] = Obszarze

(ChunkerEvaluator) Sentence #232 from 00101383 from sent5

Text  : Oznacza to , że zapewnienie ochrony temu dziedzictwu nie jest kwestią przepisów ustanawianych przez poszczególne państwa ,_ lecz musi być przedmiotem regulacji międzynarodowych w_ formie konwencji ,_ która uzyskała by powszechną akceptację i_ została by ratyfikowana przez większość krajów świata ._
Tokens: 1______ 2_ 3 4_ 5__________ 6______ 7___ 8__________ 9__ 10__ 11_____ 12_______ 13___________ 14___ 15__________ 16_____ 17 18__ 19__ 20_ 21_________ 22_______ 23______________ 24 25____ 26_______ 27 28___ 29______ 30 31________ 32________ 33 34_____ 35 36__________ 37___ 38_______ 39____ 40____ 41

Chunks:

(ChunkerEvaluator) Sentence #233 from 00101383 from sent6

Text  : Prace legislacyjne , które doprowadziły ostatecznie do uchwalenia Konwencji ,_ trwały jednak ponad 20 lat ,_ ponieważ regulacja prawna kwestii związanych z_ własnością wraków i_ stanowisk archeologicznych spoczywających na dnie mórz i_ oceanów ,_ budziła wiele wątpliwości i_ emocji ._
Tokens: 1____ 2___________ 3 4____ 5___________ 6__________ 7_ 8_________ 9________ 10 11____ 12____ 13___ 14 15_ 16 17______ 18_______ 19____ 20_____ 21________ 22 23________ 24____ 25 26_______ 27______________ 28____________ 29 30__ 31__ 32 33_____ 34 35_____ 36___ 37_________ 38 39____ 40

Chunks:
  TruePositive nam [9,9] = Konwencji (confidence=0.81)

(ChunkerEvaluator) Sentence #234 from 00101383 from sent7

Text  : Z tego względu ostateczne uzgodnienie tekstu konwencji stało się wielkim sukcesem organizacji ,_ stowarzyszeń ,_ instytucji i_ osób zaangażowanych w_ sprawę ochrony historycznych wraków ._
Tokens: 1 2___ 3______ 4_________ 5__________ 6_____ 7________ 8____ 9__ 10_____ 11______ 12_________ 13 14__________ 15 16________ 17 18__ 19____________ 20 21____ 22_____ 23___________ 24____ 25

Chunks:
  FalseNegative nam [7,7] = konwencji

(ChunkerEvaluator) Sentence #235 from 00101383 from sent8

Text  : Polska odegrała istotną rolę w końcowym etapie procesu legislacyjnego ,_ ponieważ w_ czasie konferencji uzgodnieniowych ,_ które odbywały się w_ Paryżu w_ latach 1998 -_ 2000 Polska pełniła rolę kraju wiceprzewodniczącego obradom ._
Tokens: 1_____ 2_______ 3______ 4___ 5 6_______ 7_____ 8______ 9_____________ 10 11______ 12 13____ 14_________ 15_____________ 16 17___ 18______ 19_ 20 21____ 22 23____ 24__ 25 26__ 27____ 28_____ 29__ 30___ 31__________________ 32_____ 33

Chunks:
  TruePositive nam [1,1] = Polska (confidence=0.97)
  TruePositive nam [21,21] = Paryżu (confidence=0.99)
  TruePositive nam [27,27] = Polska (confidence=0.98)

(ChunkerEvaluator) Sentence #236 from 00101383 from sent9

Text  : Ekspertem Polskiego Komitetu ds . UNESCO był w czasie tych konferencji Zbigniew Kobyliński ._
Tokens: 1________ 2________ 3_______ 4_ 5 6_____ 7__ 8 9_____ 10__ 11_________ 12______ 13________ 14

Chunks:
  TruePositive nam [12,13] = Zbigniew Kobyliński (confidence=1.00)
  FalsePositive nam [6,6] = UNESCO (confidence=0.92) (incorrect boundry)
  FalseNegative nam [2,6] = Polskiego Komitetu ds . UNESCO

(ChunkerEvaluator) Sentence #237 from 00101383 from sent10

Text  : Konwencja wejdzie w życie 3 miesiące po jej ratyfikowaniu przez dwudzieste z_ kolei państwo ._
Tokens: 1________ 2______ 3 4____ 5 6_______ 7_ 8__ 9____________ 10___ 11________ 12 13___ 14_____ 15

Chunks:
  FalseNegative nam [1,1] = Konwencja

(ChunkerEvaluator) Sentence #238 from 00101383 from sent11

Text  : Najważniejsze przepisy Konwencji o ochronie podwodnego dziedzictwa kulturowego
Tokens: 1____________ 2_______ 3________ 4 5_______ 6_________ 7__________ 8__________

Chunks:
  FalsePositive nam [3,3] = Konwencji (confidence=0.81) (incorrect boundry)
  FalseNegative nam [3,8] = Konwencji o ochronie podwodnego dziedzictwa kulturowego

(ChunkerEvaluator) Sentence #239 from 00101383 from sent12

Text  : Przyjęty przez UNESCO tekst Konwencji liczy 35 artykułów oraz aneks ,_ zawierający 36 reguł postępowania wobec podwodnego dziedzictwa kulturowego ._
Tokens: 1_______ 2____ 3_____ 4____ 5________ 6____ 7_ 8________ 9___ 10___ 11 12_________ 13 14___ 15__________ 16___ 17________ 18_________ 19_________ 20

Chunks:
  TruePositive nam [3,3] = UNESCO (confidence=0.99)
  TruePositive nam [5,5] = Konwencji (confidence=0.80)

(ChunkerEvaluator) Sentence #240 from 00101383 from sent13

Text  : Ponieważ tekst Konwencji nie został dotąd przetłumaczony na język polski ,_ warto w_ największym skrócie omówić treść najważniejszych przepisów tego aktu prawa międzynarodowego ._
Tokens: 1_______ 2____ 3________ 4__ 5_____ 6____ 7_____________ 8_ 9____ 10____ 11 12___ 13 14_________ 15_____ 16____ 17___ 18_____________ 19_______ 20__ 21__ 22___ 23______________ 24

Chunks:
  FalseNegative nam [3,3] = Konwencji

(ChunkerEvaluator) Sentence #241 from 00101383 from sent14

Text  : W Preambule Konwencji stwierdzono m . in . , że podwodne dziedzictwo kulturowe stanowi integralną część dziedzictwa kulturowego ludzkości ,_ a_ zatem obowiązek jego ochrony i_ zachowania spoczywa na wszystkich krajach ._
Tokens: 1 2________ 3________ 4__________ 5 6 7_ 8 9 10 11______ 12_________ 13_______ 14_____ 15________ 16___ 17_________ 18_________ 19_______ 20 21 22___ 23_______ 24__ 25_____ 26 27________ 28______ 29 30________ 31_____ 32

Chunks:
  FalseNegative nam [3,3] = Konwencji

(ChunkerEvaluator) Sentence #242 from 00101383 from sent15

Text  : Zwrócono uwagę na ważność badań naukowych , informowania i edukacji dla ochrony podwodnego dziedzictwa kulturowego oraz na publiczne prawo do korzystania z_ edukacyjnych i_ rekreacyjnych wartości podwodnego dziedzictwa kulturowego w_ sposób odpowiedzialny i_ nieniszczący ._
Tokens: 1_______ 2____ 3_ 4______ 5____ 6________ 7 8___________ 9 10______ 11_ 12_____ 13________ 14_________ 15_________ 16__ 17 18_______ 19___ 20 21_________ 22 23__________ 24 25___________ 26______ 27________ 28_________ 29_________ 30 31____ 32____________ 33 34__________ 35

Chunks:

(ChunkerEvaluator) Sentence #243 from 00101383 from sent16

Text  : Stwierdzono , że podwodne dziedzictwo kulturowe zagrożone jest w wyniku nieuprawnionych działań podejmowanych wobec niego ,_ z_ czego wynika potrzeba mocniejszych mechanizmów zapobiegania takim działaniom ._
Tokens: 1__________ 2 3_ 4_______ 5__________ 6________ 7________ 8___ 9 10____ 11_____________ 12_____ 13___________ 14___ 15___ 16 17 18___ 19____ 20______ 21__________ 22_________ 23__________ 24___ 25________ 26

Chunks:

2017-06-14 20:20:27,663 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 17 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101412.xml
(ChunkerEvaluator) Sentence #244 from 00101412 from sent1

Text  : Droga krajowa B210 ( Niemcy )
Tokens: 1____ 2______ 3___ 4 5_____ 6

Chunks:
  TruePositive nam [5,5] = Niemcy (confidence=1.00)
  FalsePositive nam [3,3] = B210 (confidence=0.93) (incorrect boundry)
  FalseNegative nam [1,3] = Droga krajowa B210

(ChunkerEvaluator) Sentence #245 from 00101412 from sent2

Text  : Droga krajowa 210 ( Bundesstraße 210 , B 210 )_ przebiega przez teren Niemiec z_ zachodu na wschód od miejscowości Emden do Wilhelmshaven w_ Dolnej Saksonii ._
Tokens: 1____ 2______ 3__ 4 5___________ 6__ 7 8 9__ 10 11_______ 12___ 13___ 14_____ 15 16_____ 17 18____ 19 20__________ 21___ 22 23___________ 24 25____ 26______ 27

Chunks:
  TruePositive nam [8,9] = B 210 (confidence=0.69)
  TruePositive nam [14,14] = Niemiec (confidence=0.96)
  TruePositive nam [21,21] = Emden (confidence=0.99)
  TruePositive nam [23,23] = Wilhelmshaven (confidence=0.75)
  TruePositive nam [25,26] = Dolnej Saksonii (confidence=0.85)
  FalsePositive nam [5,5] = Bundesstraße (confidence=0.67) (incorrect boundry)
  FalseNegative nam [1,3] = Droga krajowa 210
  FalseNegative nam [5,6] = Bundesstraße 210

2017-06-14 20:20:27,673 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 18 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101529.xml
(ChunkerEvaluator) Sentence #246 from 00101529 from sent1

Text  : Poseł Jan Filip Libicki :
Tokens: 1____ 2__ 3____ 4______ 5

Chunks:
  TruePositive nam [2,4] = Jan Filip Libicki (confidence=1.00)

(ChunkerEvaluator) Sentence #247 from 00101529 from sent2

Text  : Panie Marszałku !
Tokens: 1____ 2________ 3

Chunks:

(ChunkerEvaluator) Sentence #248 from 00101529 from sent3

Text  : Wysoka Izbo !
Tokens: 1_____ 2___ 3

Chunks:

(ChunkerEvaluator) Sentence #249 from 00101529 from sent4

Text  : Swoim dzisiejszym oświadczeniem chciał by m wyrazić moją solidarność z_ Ojcem Świętym Benedyktem XVI ._
Tokens: 1____ 2__________ 3____________ 4_____ 5_ 6 7______ 8___ 9__________ 10 11___ 12_____ 13________ 14_ 15

Chunks:
  TruePositive nam [11,12] = Ojcem Świętym (confidence=0.84)
  TruePositive nam [13,14] = Benedyktem XVI (confidence=0.60)

(ChunkerEvaluator) Sentence #250 from 00101529 from sent5

Text  : W ostatnim czasie w Europie , a niestety także i_ w_ Polsce ,_ coraz częściej pojawiają się krytyczne komentarze i_ deklaracje ,_ które godzą w_ autorytet biskupa Rzymu ._
Tokens: 1 2_______ 3_____ 4 5______ 6 7 8_______ 9____ 10 11 12____ 13 14___ 15______ 16_______ 17_ 18_______ 19________ 20 21________ 22 23___ 24___ 25 26_______ 27_____ 28___ 29

Chunks:
  TruePositive nam [5,5] = Europie (confidence=1.00)
  TruePositive nam [12,12] = Polsce (confidence=1.00)
  TruePositive nam [28,28] = Rzymu (confidence=1.00)

(ChunkerEvaluator) Sentence #251 from 00101529 from sent6

Text  : Jest to tym bardziej przykre , że wypowiadają je prominentni politycy ,_ także ci ,_ którzy oficjalnie deklarują się jako katolicy ._
Tokens: 1___ 2_ 3__ 4_______ 5______ 6 7_ 8__________ 9_ 10_________ 11______ 12 13___ 14 15 16____ 17________ 18_______ 19_ 20__ 21______ 22

Chunks:

(ChunkerEvaluator) Sentence #252 from 00101529 from sent7

Text  : Co najciekawsze , te krytyczne głosy dokonują subiektywnej i uproszczonej oceny faktów i_ posunięć papieskich ,_ które należą do dziedziny wewnętrznego życia Kościoła ._
Tokens: 1_ 2___________ 3 4_ 5________ 6____ 7_______ 8___________ 9 10__________ 11___ 12____ 13 14______ 15________ 16 17___ 18____ 19 20_______ 21__________ 22___ 23______ 24

Chunks:
  FalsePositive nam [23,23] = Kościoła (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #253 from 00101529 from sent8

Text  : Czynią to często te same osoby , które gdy pasterze Kościoła wypowiadają swe zdanie w_ sprawach moralnych ,_ uczestniczą w_ działaniach sugerujących ,_ jakoby śmy w_ tym przypadku mieli do czynienia z_ naruszeniem zasady rozdziału Kościoła od państwa ._
Tokens: 1_____ 2_ 3_____ 4_ 5___ 6____ 7 8____ 9__ 10______ 11______ 12_________ 13_ 14____ 15 16______ 17_______ 18 19_________ 20 21_________ 22__________ 23 24____ 25_ 26 27_ 28_______ 29___ 30 31_______ 32 33_________ 34____ 35_______ 36______ 37 38_____ 39

Chunks:
  TruePositive nam [11,11] = Kościoła (confidence=0.98)
  TruePositive nam [36,36] = Kościoła (confidence=0.62)

(ChunkerEvaluator) Sentence #254 from 00101529 from sent9

Text  : Tymczasem w tym przypadku , gdy liczne osobistości świeckie wypowiadają krytyczne opinie o_ sprawach wewnętrznych Kościoła ,_ trudno dostrzec podobną wrażliwość i_ troskę w_ zachowaniu tego właśnie rozdziału ._
Tokens: 1________ 2 3__ 4________ 5 6__ 7_____ 8__________ 9_______ 10_________ 11_______ 12____ 13 14______ 15__________ 16______ 17 18____ 19______ 20_____ 21________ 22 23____ 24 25________ 26__ 27_____ 28_______ 29

Chunks:
  TruePositive nam [16,16] = Kościoła (confidence=1.00)

(ChunkerEvaluator) Sentence #255 from 00101529 from sent10

Text  : A przecież wszystko , co czyni obecny papież np ._ w_ dziedzinie liturgii czy znoszenia nałożonych niegdyś kar kościelnych ,_ należy w_ sposób bezdyskusyjny do istoty jego urzędu ._
Tokens: 1 2_______ 3_______ 4 5_ 6____ 7_____ 8_____ 9_ 10 11 12________ 13______ 14_ 15_______ 16________ 17_____ 18_ 19_________ 20 21____ 22 23____ 24___________ 25 26____ 27__ 28____ 29

Chunks:

(ChunkerEvaluator) Sentence #256 from 00101529 from sent11

Text  : Z najwyższym uznaniem przyjmuję fakt , że papież Benedykt XVI ,_ podobnie jak czynił to przez ponad 20 lat jako prefekt Kongregacji Nauki Wiary ,_ w_ sposób niestrudzony i_ niezłomny przypomina odwieczne zasady nauki katolickiej oraz dyscypliny kościelnej ,_ wprowadzając w_ życie program ,_ który nakreślił już ponad ćwierć wieku temu w_ słynnym wywiadzie rzece z_ Vittorio Messorim zatytułowanym „_ Raport o_ stanie wiary ”_ ._
Tokens: 1 2_________ 3_______ 4________ 5___ 6 7_ 8_____ 9_______ 10_ 11 12______ 13_ 14____ 15 16___ 17___ 18 19_ 20__ 21_____ 22_________ 23___ 24___ 25 26 27____ 28__________ 29 30_______ 31________ 32_______ 33____ 34___ 35_________ 36__ 37________ 38________ 39 40__________ 41 42___ 43_____ 44 45___ 46_______ 47_ 48___ 49____ 50___ 51__ 52 53_____ 54_______ 55___ 56 57______ 58______ 59___________ 60 61____ 62 63____ 64___ 65 66

Chunks:
  TruePositive nam [9,10] = Benedykt XVI (confidence=1.00)
  TruePositive nam [22,24] = Kongregacji Nauki Wiary (confidence=1.00)
  TruePositive nam [57,58] = Vittorio Messorim (confidence=1.00)
  TruePositive nam [61,64] = Raport o stanie wiary (confidence=0.99)

(ChunkerEvaluator) Sentence #257 from 00101529 from sent12

Text  : Jeśli bowiem Kościół ma wciąż pozostawać znakiem sprzeciwu dla ogarnianego coraz większym relatywizmem współczesnego świata ,_ sam musi posiadać wewnętrzną siłę i_ pewność prezentowanych temu światu racji ._
Tokens: 1____ 2_____ 3______ 4_ 5____ 6_________ 7______ 8________ 9__ 10_________ 11___ 12______ 13__________ 14___________ 15____ 16 17_ 18__ 19______ 20________ 21__ 22 23_____ 24____________ 25__ 26____ 27___ 28

Chunks:
  TruePositive nam [3,3] = Kościół (confidence=1.00)

(ChunkerEvaluator) Sentence #258 from 00101529 from sent13

Text  : Oby opatrzność zachowała Ojca Świętego Benedykta XVI na długie lata i_ pozwoliła mu na zrealizowanie tego wielkiego zamiaru ._
Tokens: 1__ 2_________ 3________ 4___ 5_______ 6________ 7__ 8_ 9_____ 10__ 11 12_______ 13 14 15___________ 16__ 17_______ 18_____ 19

Chunks:
  FalsePositive nam [4,7] = Ojca Świętego Benedykta XVI (confidence=0.87) (incorrect boundry)
  FalseNegative nam [4,5] = Ojca Świętego
  FalseNegative nam [6,7] = Benedykta XVI

(ChunkerEvaluator) Sentence #259 from 00101529 from sent14

Text  : Dziękuję bardzo .
Tokens: 1_______ 2_____ 3

Chunks:

2017-06-14 20:20:27,768 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 19 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101533.xml
(ChunkerEvaluator) Sentence #260 from 00101533 from sent1

Text  : W okresie od powstania cmentarza do końca II wojny światowej pochowano na nim ok ._ 30 żołnierzy Polskiego Państwa Podziemnego ._
Tokens: 1 2______ 3_ 4________ 5________ 6_ 7____ 8_ 9____ 10_______ 11_______ 12 13_ 14 15 16 17_______ 18_______ 19_____ 20_________ 21

Chunks:
  TruePositive nam [8,10] = II wojny światowej (confidence=0.98)
  TruePositive nam [18,20] = Polskiego Państwa Podziemnego (confidence=1.00)

(ChunkerEvaluator) Sentence #261 from 00101533 from sent2

Text  : Niemcy nigdy nie sprofanowali leśnego cmentarza , chociaż na pewno o_ nim wiedzieli ._
Tokens: 1_____ 2____ 3__ 4___________ 5______ 6________ 7 8______ 9_ 10___ 11 12_ 13_______ 14

Chunks:
  TruePositive nam [1,1] = Niemcy (confidence=0.81)

(ChunkerEvaluator) Sentence #262 from 00101533 from sent3

Text  : Być może obawiali się , że partyzanci nie uszanowali by także ich pobliskiego cmentarza ,_ na którym we wrześniu 1939 r_ ._ po bitwie pod Barakiem pochowali 200 swoich żołnierzy ._
Tokens: 1__ 2___ 3_______ 4__ 5 6_ 7_________ 8__ 9_________ 10 11___ 12_ 13_________ 14_______ 15 16 17____ 18 19______ 20__ 21 22 23 24____ 25_ 26______ 27_______ 28_ 29____ 30_______ 31

Chunks:
  FalsePositive nam [26,26] = Barakiem (confidence=0.96) (incorrect boundry)
  FalseNegative nam [24,26] = bitwie pod Barakiem

(ChunkerEvaluator) Sentence #263 from 00101533 from sent4

Text  : W 1947 r . członkowie związku uczestników walki zbrojnej postawili na cmentarzu partyzanckim skromny pomnik opatrzony metalowym krzyżem i_ tablicą z_ napisem :_ Rozumni szałem –_ silni jednością /_ dając w_ ofierze życie i_ sławę /_ padli ście ,_ walcząc z_ wroga podłością /_ o_ wolność Polski ,_ za świętą sprawę ._
Tokens: 1 2___ 3 4 5_________ 6______ 7__________ 8____ 9_______ 10_______ 11 12_______ 13__________ 14_____ 15____ 16_______ 17_______ 18_____ 19 20_____ 21 22_____ 23 24_____ 25____ 26 27___ 28_______ 29 30___ 31 32_____ 33___ 34 35___ 36 37___ 38__ 39 40_____ 41 42___ 43_______ 44 45 46_____ 47____ 48 49 50____ 51____ 52

Chunks:
  TruePositive nam [47,47] = Polski (confidence=1.00)
  FalsePositive nam [24,24] = Rozumni (confidence=0.54) (incorrect boundry)

(ChunkerEvaluator) Sentence #264 from 00101533 from sent5

Text  : Po krótkim okresie tolerancji przez władzę ludową faktu , że istnieje cmentarz partyzancki ,_ do października 1965 r_ ._ zabraniano jakichkolwiek prac konserwatorskich na tej nekropolii ,_ a_ nawet wywierano naciski na rodziny ,_ by po ekshumacji zwłok zabrać je na inne cmentarze ._
Tokens: 1_ 2______ 3______ 4_________ 5____ 6_____ 7_____ 8____ 9 10 11______ 12______ 13_________ 14 15 16__________ 17__ 18 19 20________ 21___________ 22__ 23______________ 24 25_ 26________ 27 28 29___ 30_______ 31_____ 32 33_____ 34 35 36 37________ 38___ 39____ 40 41 42__ 43_______ 44

Chunks:

(ChunkerEvaluator) Sentence #265 from 00101533 from sent6

Text  : Pod koniec lat 60 . , dzięki staraniom środowisk kombatanckich udało się wreszcie nadać cmentarzowi partyzanckiemu pod Skarżyskiem status cmentarza wojennego ._
Tokens: 1__ 2_____ 3__ 4_ 5 6 7_____ 8________ 9________ 10___________ 11___ 12_ 13______ 14___ 15_________ 16____________ 17_ 18_________ 19____ 20_______ 21_______ 22

Chunks:
  TruePositive nam [18,18] = Skarżyskiem (confidence=0.80)

(ChunkerEvaluator) Sentence #266 from 00101533 from sent7

Text  : Regionalna Dyrekcja Lasów Państwowych w Radomiu wybudowała drogę dojazdową łączącą pobliski teren cmentarza z_ drogą krajową nr 7_ ._
Tokens: 1_________ 2_______ 3____ 4__________ 5 6______ 7_________ 8____ 9________ 10_____ 11______ 12___ 13_______ 14 15___ 16_____ 17 18 19

Chunks:
  TruePositive nam [6,6] = Radomiu (confidence=1.00)
  TruePositive nam [15,18] = drogą krajową nr 7 (confidence=0.98)
  FalsePositive nam [2,4] = Dyrekcja Lasów Państwowych (confidence=0.93) (incorrect boundry)
  FalseNegative nam [1,4] = Regionalna Dyrekcja Lasów Państwowych

(ChunkerEvaluator) Sentence #267 from 00101533 from sent8

Text  : W roku 1989 wybudowane zostało ogrodzenie , a na początku roku 2000 wszystkie mogiły obmurowano i_ zaopatrzono w_ marmurowe krzyże na kształt krzyża orderu Virtuti Militari ._
Tokens: 1 2___ 3___ 4_________ 5______ 6_________ 7 8 9_ 10______ 11__ 12__ 13_______ 14____ 15________ 16 17_________ 18 19_______ 20____ 21 22_____ 23____ 24____ 25_____ 26______ 27

Chunks:
  TruePositive nam [25,26] = Virtuti Militari (confidence=1.00)

(ChunkerEvaluator) Sentence #268 from 00101533 from sent9

Text  : ( Dzwonek )
Tokens: 1 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #269 from 00101533 from sent10

Text  : Już kończę , pani marszałek .
Tokens: 1__ 2_____ 3 4___ 5________ 6

Chunks:

(ChunkerEvaluator) Sentence #270 from 00101533 from sent11

Text  : Obecnie cmentarz otoczony jest opieką urzędu wojewódzkiego w Kielcach ,_ Urzędu Miasta Skarżyska -_ Kamiennej ,_ Regionalnej Dyrekcji Lasów Państwowych w_ Radomiu oraz środowisk kombatanckich ._
Tokens: 1______ 2_______ 3_______ 4___ 5_____ 6_____ 7____________ 8 9_______ 10 11____ 12____ 13_______ 14 15_______ 16 17_________ 18______ 19___ 20_________ 21 22_____ 23__ 24_______ 25___________ 26

Chunks:
  TruePositive nam [9,9] = Kielcach (confidence=1.00)
  TruePositive nam [11,15] = Urzędu Miasta Skarżyska - Kamiennej (confidence=1.00)
  TruePositive nam [17,20] = Regionalnej Dyrekcji Lasów Państwowych (confidence=0.95)
  TruePositive nam [22,22] = Radomiu (confidence=1.00)
  FalseNegative nam [6,7] = urzędu wojewódzkiego

(ChunkerEvaluator) Sentence #271 from 00101533 from sent12

Text  : Trzy razy w roku odbywają się na nim uroczystości patriotyczne ._
Tokens: 1___ 2___ 3 4___ 5_______ 6__ 7_ 8__ 9___________ 10__________ 11

Chunks:

(ChunkerEvaluator) Sentence #272 from 00101533 from sent13

Text  : Stał się on także ważnym punktem na szlaku turystycznym wiodącym wokół mojego miasta ._
Tokens: 1___ 2__ 3_ 4____ 5_____ 6______ 7_ 8_____ 9___________ 10______ 11___ 12____ 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #273 from 00101533 from sent14

Text  : Dziękuję za uwagę .
Tokens: 1_______ 2_ 3____ 4

Chunks:

(ChunkerEvaluator) Sentence #274 from 00101533 from sent15

Text  : ( Oklaski )
Tokens: 1 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #275 from 00101533 from sent16

Text  : Wicemarszałek Ewa Kierzkowska :
Tokens: 1____________ 2__ 3__________ 4

Chunks:
  TruePositive nam [2,3] = Ewa Kierzkowska (confidence=1.00)

(ChunkerEvaluator) Sentence #276 from 00101533 from sent17

Text  : Dziękuję panu posłowi .
Tokens: 1_______ 2___ 3______ 4

Chunks:

(ChunkerEvaluator) Sentence #277 from 00101533 from sent18

Text  : Głos ma pan poseł Krzysztof Jurgiel , Prawo i Sprawiedliwość ._
Tokens: 1___ 2_ 3__ 4____ 5________ 6______ 7 8____ 9 10____________ 11

Chunks:
  TruePositive nam [5,6] = Krzysztof Jurgiel (confidence=1.00)
  TruePositive nam [8,10] = Prawo i Sprawiedliwość (confidence=1.00)

(ChunkerEvaluator) Sentence #278 from 00101533 from sent19

Text  : Proszę , panie pośle .
Tokens: 1_____ 2 3____ 4____ 5

Chunks:

(ChunkerEvaluator) Sentence #279 from 00101533 from sent20

Text  : Poseł Krzysztof Jurgiel :
Tokens: 1____ 2________ 3______ 4

Chunks:
  TruePositive nam [2,3] = Krzysztof Jurgiel (confidence=1.00)

(ChunkerEvaluator) Sentence #280 from 00101533 from sent21

Text  : Wysoka Izbo !
Tokens: 1_____ 2___ 3

Chunks:

(ChunkerEvaluator) Sentence #281 from 00101533 from sent22

Text  : Podczas ostatniego posiedzenia Sejmu w związku z wystąpieniem pana ministra Marka Sawickiego w_ czasie debaty dotyczącej sytuacji polskiego rolnictwa wygłosił em pierwszą część mojego oświadczenia dotyczącego sytuacji w_ polskim rolnictwie ._
Tokens: 1______ 2_________ 3__________ 4____ 5 6______ 7 8___________ 9___ 10______ 11___ 12________ 13 14____ 15____ 16________ 17______ 18_______ 19_______ 20______ 21 22______ 23___ 24____ 25__________ 26_________ 27______ 28 29_____ 30________ 31

Chunks:
  TruePositive nam [4,4] = Sejmu (confidence=1.00)
  TruePositive nam [11,12] = Marka Sawickiego (confidence=1.00)

(ChunkerEvaluator) Sentence #282 from 00101533 from sent23

Text  : Wracam więc do drugiej części .
Tokens: 1_____ 2___ 3_ 4______ 5_____ 6

Chunks:

2017-06-14 20:20:27,874 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 20 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101557.xml
(ChunkerEvaluator) Sentence #283 from 00101557 from sent1

Text  : Zewnątrz panowała ciemność .
Tokens: 1_______ 2_______ 3_______ 4

Chunks:

(ChunkerEvaluator) Sentence #284 from 00101557 from sent2

Text  : Tylko światła lamp wyzierające w przestrzeń czworokątami okien przesuwały się szybko po zboczach nasypu w_ przelotnym wywiadzie :_ pociąg przebiegał jakieś puste łąki i_ pastwiska ._ ._ ._
Tokens: 1____ 2______ 3___ 4__________ 5 6_________ 7___________ 8____ 9_________ 10_ 11____ 12 13______ 14____ 15 16________ 17_______ 18 19____ 20________ 21____ 22___ 23__ 24 25_______ 26 27 28

Chunks:

(ChunkerEvaluator) Sentence #285 from 00101557 from sent3

Text  : Jakiś mężczyzna zbliżył się do profesora , prosząc o „_ ogień ”_ ,_ Ryszpans zdmuchnął popiół z_ cygara i_ grzecznie podał je nieznajomemu ._
Tokens: 1____ 2________ 3______ 4__ 5_ 6________ 7 8______ 9 10 11___ 12 13 14______ 15_______ 16____ 17 18____ 19 20_______ 21___ 22 23__________ 24

Chunks:
  TruePositive nam [14,14] = Ryszpans (confidence=1.00)

(ChunkerEvaluator) Sentence #286 from 00101557 from sent4

Text  : — Dziękuję .
Tokens: 1 2_______ 3

Chunks:

(ChunkerEvaluator) Sentence #287 from 00101557 from sent5

Text  : Inżynier Zniesławski — przedstawił się .
Tokens: 1_______ 2__________ 3 4__________ 5__ 6

Chunks:
  TruePositive nam [2,2] = Zniesławski (confidence=0.90)

(ChunkerEvaluator) Sentence #288 from 00101557 from sent6

Text  : Zawiązała się rozmowa .
Tokens: 1________ 2__ 3______ 4

Chunks:

(ChunkerEvaluator) Sentence #289 from 00101557 from sent7

Text  : — Czy nie zauważył pan , jak się nagle wyludniło ?_
Tokens: 1 2__ 3__ 4_______ 5__ 6 7__ 8__ 9____ 10_______ 11

Chunks:

(ChunkerEvaluator) Sentence #290 from 00101557 from sent8

Text  : — zapytał inżynier , rzucając wkoło okiem .
Tokens: 1 2______ 3_______ 4 5_______ 6____ 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #291 from 00101557 from sent9

Text  : — Korytarz całkiem wolny .
Tokens: 1 2_______ 3______ 4____ 5

Chunks:

(ChunkerEvaluator) Sentence #292 from 00101557 from sent10

Text  : Zaglądał em do dwóch przedziałów , by z przyjemnością stwierdzić ,_ że jest w_ nich sporo miejsca ._
Tokens: 1_______ 2_ 3_ 4____ 5__________ 6 7_ 8 9____________ 10________ 11 12 13__ 14 15__ 16___ 17_____ 18

Chunks:

(ChunkerEvaluator) Sentence #293 from 00101557 from sent11

Text  : — Ciekaw jestem — podchwycił Ryszpans — jaki też stan rzeczy po innych klasach ._
Tokens: 1 2_____ 3_____ 4 5_________ 6_______ 7 8___ 9__ 10__ 11____ 12 13____ 14_____ 15

Chunks:
  TruePositive nam [6,6] = Ryszpans (confidence=1.00)

(ChunkerEvaluator) Sentence #294 from 00101557 from sent12

Text  : — Możemy oglądnąć !
Tokens: 1 2_____ 3_______ 4

Chunks:

(ChunkerEvaluator) Sentence #295 from 00101557 from sent13

Text  : I przeszli parę wozów ku końcowi pociągu .
Tokens: 1 2_______ 3___ 4____ 5_ 6______ 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #296 from 00101557 from sent14

Text  : Jakoż wszędzie zauważyli znaczny ubytek podróżnych .
Tokens: 1____ 2_______ 3________ 4______ 5_____ 6_________ 7

Chunks:

(ChunkerEvaluator) Sentence #297 from 00101557 from sent15

Text  : — To dziwne — rzekł profesor — przed półgodziną jeszcze tłok był okropny ,_ w_ przeciągu zaś tego krótkiego czasu pociąg zatrzymał się tylko raz ._
Tokens: 1 2_ 3_____ 4 5____ 6_______ 7 8____ 9_________ 10_____ 11__ 12_ 13_____ 14 15 16_______ 17_ 18__ 19_______ 20___ 21____ 22_______ 23_ 24___ 25_ 26

Chunks:

(ChunkerEvaluator) Sentence #298 from 00101557 from sent16

Text  : — Rzeczywiście — potwierdził Zniesławski .
Tokens: 1 2___________ 3 4__________ 5__________ 6

Chunks:
  TruePositive nam [5,5] = Zniesławski (confidence=1.00)

(ChunkerEvaluator) Sentence #299 from 00101557 from sent17

Text  : — Widocznie wtedy wysiadło tyle osób .
Tokens: 1 2________ 3____ 4_______ 5___ 6___ 7

Chunks:

(ChunkerEvaluator) Sentence #300 from 00101557 from sent18

Text  : Jak na jedną stację , i to drugorzędną , odpływ zagadkowy ._
Tokens: 1__ 2_ 3____ 4_____ 5 6 7_ 8__________ 9 10____ 11_______ 12

Chunks:

(ChunkerEvaluator) Sentence #301 from 00101557 from sent19

Text  : Usiedli na jednej z ławek klasy II .
Tokens: 1______ 2_ 3_____ 4 5____ 6____ 7_ 8

Chunks:

(ChunkerEvaluator) Sentence #302 from 00101557 from sent20

Text  : Pod oknem rozmawiało półgłosem dwóch mężczyzn .
Tokens: 1__ 2____ 3_________ 4________ 5____ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #303 from 00101557 from sent21

Text  : Pochwycili urywek rozmowy :
Tokens: 1_________ 2_____ 3______ 4

Chunks:

(ChunkerEvaluator) Sentence #304 from 00101557 from sent22

Text  : — Wie pan — mówił jeden z pasażerów o biurokratycznym wyglądzie —_ coś mię kusi do opuszczenia tego pociągu ._
Tokens: 1 2__ 3__ 4 5____ 6____ 7 8________ 9 10_____________ 11_______ 12 13_ 14_ 15__ 16 17_________ 18__ 19_____ 20

Chunks:

(ChunkerEvaluator) Sentence #305 from 00101557 from sent23

Text  : — Szczególne !
Tokens: 1 2_________ 3

Chunks:

(ChunkerEvaluator) Sentence #306 from 00101557 from sent24

Text  : — odpowiedział drugi — mnie również .
Tokens: 1 2___________ 3____ 4 5___ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #307 from 00101557 from sent25

Text  : Głupie uczucie .
Tokens: 1_____ 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #308 from 00101557 from sent26

Text  : Powinien em być dzisiaj koniecznie w Zaszumiu i specjalnie jadę w_ tym kierunku —_ mimo to wysiądę już na najbliższej stacji i_ zaczekam na pociąg poranny ._
Tokens: 1_______ 2_ 3__ 4______ 5_________ 6 7_______ 8 9_________ 10__ 11 12_ 13______ 14 15__ 16 17_____ 18_ 19 20_________ 21____ 22 23______ 24 25____ 26_____ 27

Chunks:
  TruePositive nam [7,7] = Zaszumiu (confidence=0.82)

(ChunkerEvaluator) Sentence #309 from 00101557 from sent27

Text  : Co za mitręga i strata czasu !
Tokens: 1_ 2_ 3______ 4 5_____ 6____ 7

Chunks:

(ChunkerEvaluator) Sentence #310 from 00101557 from sent28

Text  : — Pójdę za pańskim przykładem , chociaż i mnie to na der nie na rękę ._
Tokens: 1 2____ 3_ 4______ 5_________ 6 7______ 8 9___ 10 11 12_ 13_ 14 15__ 16

Chunks:

(ChunkerEvaluator) Sentence #311 from 00101557 from sent29

Text  : Spóźnię się do biura o parę godzin .
Tokens: 1______ 2__ 3_ 4____ 5 6___ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #312 from 00101557 from sent30

Text  : Lecz nie mogę inaczej .
Tokens: 1___ 2__ 3___ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #313 from 00101557 from sent31

Text  : Ja tym pociągiem dalej nie pojadę .
Tokens: 1_ 2__ 3________ 4____ 5__ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #314 from 00101557 from sent32

Text  : — Przepraszam — wmieszał się inżynier .
Tokens: 1 2__________ 3 4_______ 5__ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #315 from 00101557 from sent33

Text  : — Co właściwie zmusza panów do tak niewygodnego dla nich opuszczenia pociągu ?_
Tokens: 1 2_ 3________ 4_____ 5____ 6_ 7__ 8___________ 9__ 10__ 11_________ 12_____ 13

Chunks:

(ChunkerEvaluator) Sentence #316 from 00101557 from sent34

Text  : — Nie wiem — odpowiedział urzędnik .
Tokens: 1 2__ 3___ 4 5___________ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #317 from 00101557 from sent35

Text  : — Jakieś nieokreślone uczucie .
Tokens: 1 2_____ 3___________ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #318 from 00101557 from sent36

Text  : — Niby wewnętrzny nakaz — objaśniał towarzysz .
Tokens: 1 2___ 3_________ 4____ 5 6________ 7________ 8

Chunks:

(ChunkerEvaluator) Sentence #319 from 00101557 from sent37

Text  : — A może duszna , niewytłumaczona trwoga ?
Tokens: 1 2 3___ 4_____ 5 6______________ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #320 from 00101557 from sent38

Text  : — poddał Ryszpans , przymrużając trochę złośliwie oko .
Tokens: 1 2_____ 3_______ 4 5___________ 6_____ 7________ 8__ 9

Chunks:
  TruePositive nam [3,3] = Ryszpans (confidence=1.00)

(ChunkerEvaluator) Sentence #321 from 00101557 from sent39

Text  : — Może — odparł spokojnie pasażer — lecz nie wstydzę się tego ._
Tokens: 1 2___ 3 4_____ 5________ 6______ 7 8___ 9__ 10_____ 11_ 12__ 13

Chunks:

(ChunkerEvaluator) Sentence #322 from 00101557 from sent40

Text  : Uczucie , którego doznaję w tej chwili , jest tak specjalne ,_ tak sui generis ,_ że nie pokrywa się właściwie z_ tym ,_ co zwykli śmy nazywać strachem ._
Tokens: 1______ 2 3______ 4______ 5 6__ 7_____ 8 9___ 10_ 11_______ 12 13_ 14_ 15_____ 16 17 18_ 19_____ 20_ 21_______ 22 23_ 24 25 26____ 27_ 28_____ 29______ 30

Chunks:

2017-06-14 20:20:27,985 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 21 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101565.xml
(ChunkerEvaluator) Sentence #323 from 00101565 from sent1

Text  : Nazajutrz wyjechał em w towarzystwie pewnego mieszkańca Tunisu , nazwiskiem Sid -_ Ahmet ,_ który naprzód zawiózł mnie do swego rodzinnego miasta ,_ jednego z_ najrozkoszniejszych w_ świecie ._
Tokens: 1________ 2_______ 3_ 4 5___________ 6______ 7_________ 8_____ 9 10________ 11_ 12 13___ 14 15___ 16_____ 17_____ 18__ 19 20___ 21________ 22____ 23 24_____ 25 26_________________ 27 28_____ 29

Chunks:
  TruePositive nam [8,8] = Tunisu (confidence=1.00)
  TruePositive nam [11,13] = Sid - Ahmet (confidence=0.99)

(ChunkerEvaluator) Sentence #324 from 00101565 from sent2

Text  : Z Tunisu udali śmy się do Zaguanu , małego miasteczka słynnego z_ wyrobu czerwonych czapeczek ,_ znanych pod nazwą fezów ._
Tokens: 1 2_____ 3____ 4__ 5__ 6_ 7______ 8 9_____ 10________ 11______ 12 13____ 14________ 15_______ 16 17_____ 18_ 19___ 20___ 21

Chunks:
  TruePositive nam [2,2] = Tunisu (confidence=0.94)
  TruePositive nam [7,7] = Zaguanu (confidence=0.99)

(ChunkerEvaluator) Sentence #325 from 00101565 from sent3

Text  : Powiedziano mi , że niedaleko miasta znajduje się szczególniejszy budynek złożony z_ kaplicy i_ galerii otaczającej półkolem małą zatokę ._
Tokens: 1__________ 2_ 3 4_ 5________ 6_____ 7_______ 8__ 9______________ 10_____ 11_____ 12 13_____ 14 15_____ 16_________ 17______ 18__ 19____ 20

Chunks:

(ChunkerEvaluator) Sentence #326 from 00101565 from sent4

Text  : Woda strumieniem wytryskuje z kaplicy i napełnia zatokę .
Tokens: 1___ 2__________ 3_________ 4 5______ 6 7_______ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #327 from 00101565 from sent5

Text  : Dawnymi czasy woda z zatoki wchodziła do wodociągu prowadzącego ją do Kartaginy ._
Tokens: 1______ 2____ 3___ 4 5_____ 6________ 7_ 8________ 9___________ 10 11 12_______ 13

Chunks:
  TruePositive nam [12,12] = Kartaginy (confidence=0.95)

(ChunkerEvaluator) Sentence #328 from 00101565 from sent6

Text  : Mówiono także , że kaplica poświęcona jest jakiemuś bóstwu źródła ._
Tokens: 1______ 2____ 3 4_ 5______ 6_________ 7___ 8_______ 9_____ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #329 from 00101565 from sent7

Text  : Wyobraził em sobie , szalony , że bóstwem tym jest moja wróżka ._
Tokens: 1________ 2_ 3____ 4 5______ 6 7_ 8______ 9__ 10__ 11__ 12____ 13

Chunks:

(ChunkerEvaluator) Sentence #330 from 00101565 from sent8

Text  : Udał em się do źródła i zaczął em ją z_ całych sił przyzywać ._
Tokens: 1___ 2_ 3__ 4_ 5_____ 6 7_____ 8_ 9_ 10 11____ 12_ 13_______ 14

Chunks:

(ChunkerEvaluator) Sentence #331 from 00101565 from sent9

Text  : Echo mi tylko odpowiedziało .
Tokens: 1___ 2_ 3____ 4____________ 5

Chunks:

(ChunkerEvaluator) Sentence #332 from 00101565 from sent10

Text  : Wspomniano mi znowu w Zaguanie o pałacu duchów , którego zwaliska leżały o_ kilka mii w_ głębi pustyni ._
Tokens: 1_________ 2_ 3____ 4 5_______ 6 7_____ 8_____ 9 10_____ 11______ 12____ 13 14___ 15_ 16 17___ 18_____ 19

Chunks:
  TruePositive nam [5,5] = Zaguanie (confidence=0.97)

(ChunkerEvaluator) Sentence #333 from 00101565 from sent11

Text  : Poszedł em i ujrzał em tam okrągły budynek , w_ dziwnie pięknym smaku wystawiony ._
Tokens: 1______ 2_ 3 4_____ 5_ 6__ 7______ 8______ 9 10 11_____ 12_____ 13___ 14________ 15

Chunks:

(ChunkerEvaluator) Sentence #334 from 00101565 from sent12

Text  : Spostrzegł em jakiegoś człowieka , siedzącego na zwaliskach i rysującego ._
Tokens: 1_________ 2_ 3_______ 4________ 5 6_________ 7_ 8_________ 9 10________ 11

Chunks:

(ChunkerEvaluator) Sentence #335 from 00101565 from sent13

Text  : Zapytał em go po hiszpańsku , czy to prawda ,_ że duchy zbudowały ten pałac ._
Tokens: 1______ 2_ 3_ 4_ 5_________ 6 7__ 8_ 9_____ 10 11 12___ 13_______ 14_ 15___ 16

Chunks:

(ChunkerEvaluator) Sentence #336 from 00101565 from sent14

Text  : Uśmiechnął się i odpowiedział mi , że jest to teatr ,_ w_ którym starożytni Rzymianie wyprawiali walki dzikich zwierząt ,_ i_ że miejsce to ,_ dziś nazywające się el -_ Dżem ,_ było niegdyś ową sławną Zamą ._
Tokens: 1_________ 2__ 3 4___________ 5_ 6 7_ 8___ 9_ 10___ 11 12 13____ 14________ 15_______ 16________ 17___ 18_____ 19______ 20 21 22 23_____ 24 25 26__ 27________ 28_ 29 30 31__ 32 33__ 34_____ 35_ 36____ 37__ 38

Chunks:
  TruePositive nam [15,15] = Rzymianie (confidence=0.98)
  TruePositive nam [37,37] = Zamą (confidence=0.96)
  FalsePositive nam [31,31] = Dżem (confidence=0.98) (incorrect boundry)
  FalseNegative nam [29,31] = el - Dżem

(ChunkerEvaluator) Sentence #337 from 00101565 from sent15

Text  : Objaśnienie podróżnego wcale mnie nie zajęło ; wolał by m_ był spotkać duchy ,_ które by mi co doniosły o_ mojej wróżce ._
Tokens: 1__________ 2_________ 3____ 4___ 5__ 6_____ 7 8____ 9_ 10 11_ 12_____ 13___ 14 15___ 16 17 18 19______ 20 21___ 22____ 23

Chunks:

(ChunkerEvaluator) Sentence #338 from 00101565 from sent16

Text  : Z Zaguanu udali śmy się do Kairuanu , dawnej stolicy Mahdich ._
Tokens: 1 2______ 3____ 4__ 5__ 6_ 7_______ 8 9_____ 10_____ 11_____ 12

Chunks:
  TruePositive nam [2,2] = Zaguanu (confidence=0.92)
  TruePositive nam [7,7] = Kairuanu (confidence=0.98)
  TruePositive nam [11,11] = Mahdich (confidence=1.00)

(ChunkerEvaluator) Sentence #339 from 00101565 from sent17

Text  : Było to ogromne miasto o stu tysiącach mieszkańców , burzliwych i_ w_ każdej chwili skłonnych do powstania ._
Tokens: 1___ 2_ 3______ 4_____ 5 6__ 7________ 8__________ 9 10________ 11 12 13____ 14____ 15_______ 16 17_______ 18

Chunks:

(ChunkerEvaluator) Sentence #340 from 00101565 from sent18

Text  : Przepędzili śmy tam cały rok .
Tokens: 1__________ 2__ 3__ 4___ 5__ 6

Chunks:

(ChunkerEvaluator) Sentence #341 from 00101565 from sent19

Text  : Z Kairuanu przeszli śmy do Gadames , małego niepodległego kraiku ,_ który stanowił część Beled -_ el -_ Dżeridu ,_ czyli kraju daktylów ._
Tokens: 1 2_______ 3_______ 4__ 5_ 6______ 7 8_____ 9____________ 10____ 11 12___ 13______ 14___ 15___ 16 17 18 19_____ 20 21___ 22___ 23______ 24

Chunks:
  TruePositive nam [2,2] = Kairuanu (confidence=0.96)
  TruePositive nam [6,6] = Gadames (confidence=1.00)
  TruePositive nam [15,19] = Beled - el - Dżeridu (confidence=1.00)

(ChunkerEvaluator) Sentence #342 from 00101565 from sent20

Text  : Tak nazywają okolicę rozciągającą się między pasmem Atlasu a piaszczystą pustynią Sahary ._
Tokens: 1__ 2_______ 3______ 4___________ 5__ 6_____ 7_____ 8_____ 9 10_________ 11______ 12____ 13

Chunks:
  TruePositive nam [8,8] = Atlasu (confidence=1.00)
  TruePositive nam [12,12] = Sahary (confidence=1.00)

(ChunkerEvaluator) Sentence #343 from 00101565 from sent21

Text  : Drzewa daktylowe tak obficie rodzą w tym kraju , że jedno może przez cały rok wyżywić wstrzemięźliwego człowieka ,_ a_ tacy składają tameczny lud ._
Tokens: 1_____ 2________ 3__ 4______ 5____ 6 7__ 8____ 9 10 11___ 12__ 13___ 14__ 15_ 16_____ 17______________ 18_______ 19 20 21__ 22______ 23______ 24_ 25

Chunks:

(ChunkerEvaluator) Sentence #344 from 00101565 from sent22

Text  : Nie brak wszelako i innych środków pożywienia , jak zboże ,_ zwane durrą ,_ oraz barany na wysokich nogach i_ bez wełny ,_ których mięso jest wyśmienite ._
Tokens: 1__ 2___ 3_______ 4 5_____ 6______ 7_________ 8 9__ 10___ 11 12___ 13___ 14 15__ 16____ 17 18______ 19____ 20 21_ 22___ 23 24_____ 25___ 26__ 27________ 28

Chunks:

(ChunkerEvaluator) Sentence #345 from 00101565 from sent23

Text  : Znaleźli śmy w Gadames wielką ilość Maurów rodem z Hiszpanii ._
Tokens: 1_______ 2__ 3 4______ 5_____ 6____ 7_____ 8____ 9 10_______ 11

Chunks:
  TruePositive nam [4,4] = Gadames (confidence=1.00)
  TruePositive nam [7,7] = Maurów (confidence=1.00)
  TruePositive nam [10,10] = Hiszpanii (confidence=0.99)

(ChunkerEvaluator) Sentence #346 from 00101565 from sent24

Text  : Nie było pomiędzy nimi ani Zegrysów , ani Gomelezów ,_ wiele jednak rodzin szczerze do nas przywiązanych ;_ w_ każdym razie ,_ był to kraj zbiegów ._
Tokens: 1__ 2___ 3_______ 4___ 5__ 6_______ 7 8__ 9________ 10 11___ 12____ 13____ 14______ 15 16_ 17___________ 18 19 20____ 21___ 22 23_ 24 25__ 26_____ 27

Chunks:
  TruePositive nam [6,6] = Zegrysów (confidence=1.00)
  TruePositive nam [9,9] = Gomelezów (confidence=1.00)

(ChunkerEvaluator) Sentence #347 from 00101565 from sent25

Text  : Jeszcze rok nie był upłynął , gdy otrzymał em od mego ojca list kończący się tymi słowy :_ "_ Matka każe ci powiedzieć ,_ że wróżki są zwykłymi kobietami i_ że nawet mają dzieci "_ ._
Tokens: 1______ 2__ 3__ 4__ 5______ 6 7__ 8_______ 9_ 10 11__ 12__ 13__ 14______ 15_ 16__ 17___ 18 19 20___ 21__ 22 23________ 24 25 26____ 27 28______ 29_______ 30 31 32___ 33__ 34____ 35 36

Chunks:

(ChunkerEvaluator) Sentence #348 from 00101565 from sent26

Text  : Zrozumiał em , że moja wróżka była podobną do mnie śmiertelniczką ,_ i_ myśl ta uspokoiła nieco moją wyobraźnię ._
Tokens: 1________ 2_ 3 4_ 5___ 6_____ 7___ 8______ 9_ 10__ 11____________ 12 13 14__ 15 16_______ 17___ 18__ 19________ 20

Chunks:

2017-06-14 20:20:28,116 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 22 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101588.xml
(ChunkerEvaluator) Sentence #349 from 00101588 from sent1

Text  : I na koniec prosimy jednak o odpowiedź na pytania ,_ które złożyli śmy na ręce pana premiera i_ pana ministra ._
Tokens: 1 2_ 3_____ 4______ 5_____ 6 7________ 8_ 9______ 10 11___ 12_____ 13_ 14 15__ 16__ 17______ 18 19__ 20______ 21

Chunks:

(ChunkerEvaluator) Sentence #350 from 00101588 from sent2

Text  : A więc po pierwsze , czy i co zamierza się zrobić w_ sprawie przyspieszenia inwestycji w_ ramach partnerstwa publiczno -_ prywatnego ,_ bo to jest pewne wyjście ,_ które nic nie kosztuje budżetu ,_ a_ które może zwiększyć inwestycje ._
Tokens: 1 2___ 3_ 4_______ 5 6__ 7 8_ 9_______ 10_ 11____ 12 13_____ 14____________ 15________ 16 17____ 18_________ 19_______ 20 21________ 22 23 24 25__ 26___ 27_____ 28 29___ 30_ 31_ 32______ 33_____ 34 35 36___ 37__ 38_______ 39________ 40

Chunks:

(ChunkerEvaluator) Sentence #351 from 00101588 from sent3

Text  : Po drugie , co zamierza się zrobić w sprawie zwiększenia liczby specjalnych stref ekonomicznych ?_
Tokens: 1_ 2_____ 3 4_ 5_______ 6__ 7_____ 8 9______ 10_________ 11____ 12_________ 13___ 14___________ 15

Chunks:

(ChunkerEvaluator) Sentence #352 from 00101588 from sent4

Text  : Po trzecie , co zamierza się zrobić w sprawie ożywienia rynku mieszkaniowego i_ przeciwdziałania sytuacji ,_ w_ której banki domagają się wyższych wkładów własnych ,_ a_ ludzie po prostu na to nie mają środków ?_
Tokens: 1_ 2______ 3 4_ 5_______ 6__ 7_____ 8 9______ 10_______ 11___ 12____________ 13 14______________ 15______ 16 17 18____ 19___ 20______ 21_ 22______ 23_____ 24______ 25 26 27____ 28 29____ 30 31 32_ 33__ 34_____ 35

Chunks:

(ChunkerEvaluator) Sentence #353 from 00101588 from sent5

Text  : Bank Gospodarstwa Krajowego może być tu pomocny , ale trzeba go do tego upoważnić ,_ jeśli to konieczne ,_ to również ustawowo ._
Tokens: 1___ 2___________ 3________ 4___ 5__ 6_ 7______ 8 9__ 10____ 11 12 13__ 14_______ 15 16___ 17 18_______ 19 20 21_____ 22______ 23

Chunks:
  TruePositive nam [1,3] = Bank Gospodarstwa Krajowego (confidence=0.86)

(ChunkerEvaluator) Sentence #354 from 00101588 from sent6

Text  : Co rząd zamierza zrobić , aby pomóc ludziom , którzy tracą pracę ,_ a_ są obciążeni kredytami hipotecznymi i_ nie będą mogli ich spłacać ?_
Tokens: 1_ 2___ 3_______ 4_____ 5 6__ 7____ 8______ 9 10____ 11___ 12___ 13 14 15 16_______ 17_______ 18__________ 19 20_ 21__ 22___ 23_ 24_____ 25

Chunks:

(ChunkerEvaluator) Sentence #355 from 00101588 from sent7

Text  : Co rząd zamierza pilnie zrobić , żeby pomóc tym ludziom ,_ którzy stracili pracę i_ w_ tym momencie pozostali zupełnie bez środków do życia ,_ a_ przecież fundusz na świadczenia społeczne został w_ budżecie zmniejszony w_ porównaniu z_ zeszłym rokiem ?_
Tokens: 1_ 2___ 3_______ 4_____ 5_____ 6 7___ 8____ 9__ 10_____ 11 12____ 13______ 14___ 15 16 17_ 18______ 19_______ 20______ 21_ 22_____ 23 24___ 25 26 27______ 28_____ 29 30_________ 31_______ 32____ 33 34______ 35_________ 36 37________ 38 39_____ 40____ 41

Chunks:

(ChunkerEvaluator) Sentence #356 from 00101588 from sent8

Text  : Co rząd zamierza w tej sprawie zrobić ?
Tokens: 1_ 2___ 3_______ 4 5__ 6______ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #357 from 00101588 from sent9

Text  : Dalej , co rząd zamierza zrobić , żeby przyspieszyć koncepcję tzw ._ półbezrobocia ,_ o_ której pan premier mówił ,_ że jest to koncepcja interesująca ,_ ale interesująca to trochę mało ,_ trzeba szybko cos robić w_ tym kierunku ._
Tokens: 1____ 2 3_ 4___ 5_______ 6_____ 7 8___ 9___________ 10_______ 11_ 12 13___________ 14 15 16____ 17_ 18_____ 19___ 20 21 22__ 23 24_______ 25__________ 26 27_ 28__________ 29 30____ 31__ 32 33____ 34____ 35_ 36___ 37 38_ 39______ 40

Chunks:

(ChunkerEvaluator) Sentence #358 from 00101588 from sent10

Text  : Chciał by m powiedzieć , że trzeba także wykorzystać do fundusz świadczeń gwarantowanych czy Fundusz Pracy do tego ,_ aby wspomagać takie firmy ._
Tokens: 1_____ 2_ 3 4_________ 5 6_ 7_____ 8____ 9__________ 10 11_____ 12_______ 13____________ 14_ 15_____ 16___ 17 18__ 19 20_ 21_______ 22___ 23___ 24

Chunks:
  TruePositive nam [15,16] = Fundusz Pracy (confidence=1.00)

(ChunkerEvaluator) Sentence #359 from 00101588 from sent11

Text  : I wreszcie , co rząd zamierza zrobić , aby przyspieszyć rozmowy w_ układzie rząd –_ pracodawcy –_ pracobiorcy celem zawarcia czegoś ,_ co nazywamy paktem społecznym ,_ porozumieniem społecznym ,_ które rzeczywiście wspólnie pozwoliło by nam wyjść z_ tego kryzysu ?_
Tokens: 1 2_______ 3 4_ 5___ 6_______ 7_____ 8 9__ 10__________ 11_____ 12 13______ 14__ 15 16________ 17 18_________ 19___ 20______ 21____ 22 23 24______ 25____ 26________ 27 28___________ 29________ 30 31___ 32__________ 33______ 34_______ 35 36_ 37___ 38 39__ 40_____ 41

Chunks:

(ChunkerEvaluator) Sentence #360 from 00101588 from sent12

Text  : Kończąc , panie premierze , panie ministrze , podał pan tutaj pewne zasady ,_ którymi się kieruje ._
Tokens: 1______ 2 3____ 4________ 5 6____ 7________ 8 9____ 10_ 11___ 12___ 13____ 14 15_____ 16_ 17_____ 18

Chunks:

(ChunkerEvaluator) Sentence #361 from 00101588 from sent13

Text  : Wszystkich nie spamiętał em , ale niektóre zapisał em ,_ a_ więc :_ pragmatyzm ,_ nie doktrynerstwo ._
Tokens: 1_________ 2__ 3________ 4_ 5 6__ 7_______ 8______ 9_ 10 11 12__ 13 14________ 15 16_ 17___________ 18

Chunks:

(ChunkerEvaluator) Sentence #362 from 00101588 from sent14

Text  : Wicemarszałek Jerzy Szmajdziński :
Tokens: 1____________ 2____ 3___________ 4

Chunks:
  TruePositive nam [2,3] = Jerzy Szmajdziński (confidence=1.00)

(ChunkerEvaluator) Sentence #363 from 00101588 from sent15

Text  : Panie pośle , niech pan powie tylko o jednej ._
Tokens: 1____ 2____ 3 4____ 5__ 6____ 7____ 8 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #364 from 00101588 from sent16

Text  : Poseł Marek Borowski :
Tokens: 1____ 2____ 3_______ 4

Chunks:
  TruePositive nam [2,3] = Marek Borowski (confidence=1.00)

(ChunkerEvaluator) Sentence #365 from 00101588 from sent17

Text  : Już kończę , panie marszałku .
Tokens: 1__ 2_____ 3 4____ 5________ 6

Chunks:

2017-06-14 20:20:28,220 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 23 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101613.xml
(ChunkerEvaluator) Sentence #366 from 00101613 from sent1

Text  : Pejsidoros nie był wcale w stadionie ; wczesnym rankiem zaraz pobiegł do matki ._
Tokens: 1_________ 2__ 3__ 4____ 5 6________ 7 8_______ 9______ 10___ 11_____ 12 13___ 14

Chunks:
  FalseNegative nam [1,1] = Pejsidoros

(ChunkerEvaluator) Sentence #367 from 00101613 from sent2

Text  : Uspokoiła go wrychle : nogą wczoraj nie stąpiła do Altis ,_ a_ gdy jej zapytał ,_ dlaczego strój męski przywdziała była ,_ odrzekła mu z_ największą prostotą ,_ iż pragnęła się obyć z_ szatami i_ ruchami męskimi ,_ a_ zarazem upewnić się ,_ iż jej nikt istotnie poznać nie może ._
Tokens: 1________ 2_ 3______ 4 5___ 6______ 7__ 8______ 9_ 10___ 11 12 13_ 14_ 15_____ 16 17______ 18___ 19___ 20_________ 21__ 22 23______ 24 25 26________ 27______ 28 29 30______ 31_ 32__ 33 34_____ 35 36_____ 37_____ 38 39 40_____ 41_____ 42_ 43 44 45_ 46__ 47______ 48____ 49_ 50__ 51

Chunks:
  TruePositive nam [10,10] = Altis (confidence=0.99)

(ChunkerEvaluator) Sentence #368 from 00101613 from sent3

Text  : Ocierała się z umysłu kilkakroć o znajomych ziomków z Rodos ,_ ale wszyscy na nią jak na kogoś obcego patrzyli ._
Tokens: 1_______ 2__ 3 4_____ 5________ 6 7________ 8______ 9 10___ 11 12_ 13_____ 14 15_ 16_ 17 18___ 19____ 20______ 21

Chunks:
  TruePositive nam [10,10] = Rodos (confidence=0.99)

(ChunkerEvaluator) Sentence #369 from 00101613 from sent4

Text  : Tym zupełnie już przekonała syna , że zuchwały jej zamiar da się przeprowadzić bezpiecznie ._
Tokens: 1__ 2_______ 3__ 4_________ 5___ 6 7_ 8_______ 9__ 10____ 11 12_ 13___________ 14_________ 15

Chunks:

(ChunkerEvaluator) Sentence #370 from 00101613 from sent5

Text  : Nad tym , jakby go wykonać najsnadniej , naradzali się długo jeszcze ._
Tokens: 1__ 2__ 3 4____ 5_ 6______ 7__________ 8 9________ 10_ 11___ 12_____ 13

Chunks:

(ChunkerEvaluator) Sentence #371 from 00101613 from sent6

Text  : Pejsidoros wyjaśnił jej dokładnie wszelkie zwyczaje palajstry i nauczył ją dobrze ,_ jak sobie ma postępować ._
Tokens: 1_________ 2_______ 3__ 4________ 5_______ 6_______ 7________ 8 9______ 10 11____ 12 13_ 14___ 15 16________ 17

Chunks:
  TruePositive nam [1,1] = Pejsidoros (confidence=0.57)

(ChunkerEvaluator) Sentence #372 from 00101613 from sent7

Text  : Kiedy na koniec wyszedł od niej pełen otuchy , było już dobrze z_ południa ._
Tokens: 1____ 2_ 3_____ 4______ 5_ 6___ 7____ 8_____ 9 10__ 11_ 12____ 13 14______ 15

Chunks:

(ChunkerEvaluator) Sentence #373 from 00101613 from sent8

Text  : Chłopięce popisy widno się już ukończyły , gdyż ponad Gajem słychać było gwar tysiącznych głosów :_ to tłumy wrzały po wyjściu ze stadionu ._
Tokens: 1________ 2_____ 3____ 4__ 5__ 6________ 7 8___ 9____ 10___ 11_____ 12__ 13__ 14_________ 15____ 16 17 18___ 19____ 20 21_____ 22 23______ 24

Chunks:
  FalsePositive nam [10,10] = Gajem (confidence=0.96) (incorrect boundry)

(ChunkerEvaluator) Sentence #374 from 00101613 from sent9

Text  : Wielu z Gaju Świętego wyszedłszy spieszyło do kramów z jadłem ,_ by się nieco posilić ._
Tokens: 1____ 2 3___ 4_______ 5_________ 6________ 7_ 8_____ 9 10____ 11 12 13_ 14___ 15_____ 16

Chunks:
  FalsePositive nam [3,4] = Gaju Świętego (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #375 from 00101613 from sent10

Text  : Pomiędzy Radnicą a główną bramą Altis przekupnie roznosili owoce i_ przekąski w_ koszach dźwiganych na głowie i_ obwoływaniem swego towaru powiększali jeszcze huczącą wrzawę ._
Tokens: 1_______ 2______ 3 4_____ 5____ 6____ 7_________ 8________ 9____ 10 11_______ 12 13_____ 14________ 15 16____ 17 18__________ 19___ 20____ 21_________ 22_____ 23_____ 24____ 25

Chunks:
  TruePositive nam [2,2] = Radnicą (confidence=0.97)
  TruePositive nam [6,6] = Altis (confidence=0.99)

(ChunkerEvaluator) Sentence #376 from 00101613 from sent11

Text  : Sokrates i Alkibiades , nierozłączni jak zwykle , stali właśnie przed bramą ,_ chłodząc pragnienie świeżymi figami ._
Tokens: 1_______ 2 3_________ 4 5___________ 6__ 7_____ 8 9____ 10_____ 11___ 12___ 13 14______ 15________ 16______ 17____ 18

Chunks:
  TruePositive nam [3,3] = Alkibiades (confidence=1.00)
  FalseNegative nam [1,1] = Sokrates

(ChunkerEvaluator) Sentence #377 from 00101613 from sent12

Text  : Był z nimi trzeci mąż jakowyś , od Sokratesa starszy widocznie o_ cały lat dziesiątek ._
Tokens: 1__ 2 3___ 4_____ 5__ 6______ 7 8_ 9________ 10_____ 11_______ 12 13__ 14_ 15________ 16

Chunks:
  TruePositive nam [9,9] = Sokratesa (confidence=0.98)

(ChunkerEvaluator) Sentence #378 from 00101613 from sent13

Text  : Niepozorny z postawy , mimo to zwracał na się uwagę osobliwym swoim wejrzeniem :_ twarz chuda ,_ o_ wydatnych kościach policzkowych ,_ wyraz nosiła zbolały ,_ prawie żałosny ,_ przy którym uderzały dziwnie oczy badawcze ,_ ostre ,_ nieubłagane ._
Tokens: 1_________ 2 3______ 4 5___ 6_ 7______ 8_ 9__ 10___ 11_______ 12___ 13________ 14 15___ 16___ 17 18 19_______ 20______ 21__________ 22 23___ 24____ 25_____ 26 27____ 28_____ 29 30__ 31____ 32______ 33_____ 34__ 35______ 36 37___ 38 39_________ 40

Chunks:

(ChunkerEvaluator) Sentence #379 from 00101613 from sent14

Text  : Proste , siwiejące włosy w rzadkich kosmykach opadały ku szerokiemu czołu ,_ przylegały do skroni jakby przylepione i_ ,_ zasłaniając uszy ,_ łączyły się z_ krótko przystrzyżoną brodą ._
Tokens: 1_____ 2 3________ 4____ 5 6_______ 7________ 8______ 9_ 10________ 11___ 12 13________ 14 15____ 16___ 17_________ 18 19 20_________ 21__ 22 23_____ 24_ 25 26____ 27___________ 28___ 29

Chunks:

(ChunkerEvaluator) Sentence #380 from 00101613 from sent15

Text  : Nos długi , cienki , wyraziście zarysowany , schodził za blisko nieco ku wąskim ,_ zaciśniętym ustom z_ piętnem goryczy i_ smutku ._
Tokens: 1__ 2____ 3 4_____ 5 6_________ 7_________ 8 9_______ 10 11____ 12___ 13 14____ 15 16_________ 17___ 18 19_____ 20_____ 21 22____ 23

Chunks:

(ChunkerEvaluator) Sentence #381 from 00101613 from sent16

Text  : Widno było , że tych warg nie krasi nigdy wesoły uśmiech ._
Tokens: 1____ 2___ 3 4_ 5___ 6___ 7__ 8____ 9____ 10____ 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #382 from 00101613 from sent17

Text  : — Czekaj , młody Rodyjczyku ! — zawołał Sokrates w_ odpowiedzi na powitanie Pejsidora ._
Tokens: 1 2_____ 3 4____ 5_________ 6 7 8______ 9_______ 10 11________ 12 13_______ 14_______ 15

Chunks:
  TruePositive nam [5,5] = Rodyjczyku (confidence=0.92)
  TruePositive nam [9,9] = Sokrates (confidence=0.97)
  TruePositive nam [14,14] = Pejsidora (confidence=1.00)

(ChunkerEvaluator) Sentence #383 from 00101613 from sent18

Text  : — Nie tak spieszno !
Tokens: 1 2__ 3__ 4_______ 5

Chunks:

(ChunkerEvaluator) Sentence #384 from 00101613 from sent19

Text  : Pójdziemy razem do Altis .
Tokens: 1________ 2____ 3_ 4____ 5

Chunks:
  TruePositive nam [4,4] = Altis (confidence=1.00)

2017-06-14 20:20:28,320 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 24 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101663.xml
(ChunkerEvaluator) Sentence #385 from 00101663 from sent1

Text  : Poseł Marek Polak :
Tokens: 1____ 2____ 3____ 4

Chunks:
  TruePositive nam [2,3] = Marek Polak (confidence=1.00)

(ChunkerEvaluator) Sentence #386 from 00101663 from sent2

Text  : Dziękuję bardzo .
Tokens: 1_______ 2_____ 3

Chunks:

(ChunkerEvaluator) Sentence #387 from 00101663 from sent3

Text  : Panie Marszałku !
Tokens: 1____ 2________ 3

Chunks:

(ChunkerEvaluator) Sentence #388 from 00101663 from sent4

Text  : Panie Ministrze !
Tokens: 1____ 2________ 3

Chunks:

(ChunkerEvaluator) Sentence #389 from 00101663 from sent5

Text  : Panie i Panowie Posłowie !
Tokens: 1____ 2 3______ 4_______ 5

Chunks:

(ChunkerEvaluator) Sentence #390 from 00101663 from sent6

Text  : Osobiście nie mam najmniejszych wątpliwości co do potrzeby zmian w_ kierunku profesjonalizacji polskich sił zbrojnych i_ myślę ,_ że nikogo nie trzeba przekonywać o_ tym ,_ że gwarancją sukcesu ,_ poza stanem technicznym i_ organizacyjnym armii ,_ są odpowiednio przygotowani i_ wyszkoleni zarówno żołnierze ,_ jak i_ kadra dowódcza ._
Tokens: 1________ 2__ 3__ 4____________ 5__________ 6_ 7_ 8_______ 9____ 10 11______ 12_______________ 13______ 14_ 15_______ 16 17___ 18 19 20____ 21_ 22____ 23_________ 24 25_ 26 27 28_______ 29_____ 30 31__ 32____ 33_________ 34 35____________ 36___ 37 38 39_________ 40__________ 41 42________ 43_____ 44_______ 45 46_ 47 48___ 49______ 50

Chunks:

(ChunkerEvaluator) Sentence #391 from 00101663 from sent7

Text  : Trzeba też wiedzieć , że zastąpienie dotychczasowego poboru kwalifikacją wojskową ,_ polegającą na uregulowaniu stosunku do służby wojskowej przez bezpośrednie przeniesienie do rezerwy ,_ będzie skutkowało kurczeniem się istniejących obecnie potężnych rezerw kadrowych ,_ które w_ razie potrzeby ,_ po krótkim doszkoleniu ,_ będą w_ stanie zasilić szeregi polskiej armii ._
Tokens: 1_____ 2__ 3_______ 4 5_ 6__________ 7______________ 8_____ 9___________ 10______ 11 12________ 13 14__________ 15______ 16 17____ 18_______ 19___ 20__________ 21___________ 22 23_____ 24 25____ 26________ 27________ 28_ 29__________ 30_____ 31_______ 32____ 33_______ 34 35___ 36 37___ 38______ 39 40 41_____ 42_________ 43 44__ 45 46____ 47_____ 48_____ 49______ 50___ 51

Chunks:

(ChunkerEvaluator) Sentence #392 from 00101663 from sent8

Text  : Mam zatem pytanie do przedstawicieli resortu : Czy nie obawiają się państwo ,_ że w_ przyszłości w_ przypadku ewentualnej długotrwałej agresji zbrojnej albo krótkiej ,_ ale zmasowanej ,_ szybkiej ,_ wskutek niewystarczającej liczby żołnierzy zawodowych pozostaniemy z_ coraz lepszym sprzętem ,_ w_ który inwestujemy ,_ którego nikt nie będzie umiał obsługiwać ?_
Tokens: 1__ 2____ 3______ 4_ 5______________ 6______ 7 8__ 9__ 10______ 11_ 12_____ 13 14 15 16_________ 17 18_______ 19_________ 20__________ 21_____ 22______ 23__ 24______ 25 26_ 27________ 28 29______ 30 31_____ 32_______________ 33____ 34_______ 35________ 36__________ 37 38___ 39_____ 40______ 41 42 43___ 44_________ 45 46_____ 47__ 48_ 49____ 50___ 51________ 52

Chunks:

(ChunkerEvaluator) Sentence #393 from 00101663 from sent9

Text  : Pytanie to nie jest bezpodstawne z uwagi na to ,_ że ,_ przypomnę ,_ w_ niedalekiej przeszłości głowa naszego państwa nie mogła skorzystać z_ samolotu rządowego z_ powodu –_ kto zgadnie ?_ –_ choroby pilota ._
Tokens: 1______ 2_ 3__ 4___ 5___________ 6 7____ 8_ 9_ 10 11 12 13_______ 14 15 16_________ 17_________ 18___ 19_____ 20_____ 21_ 22___ 23________ 24 25______ 26_______ 27 28____ 29 30_ 31_____ 32 33 34_____ 35____ 36

Chunks:

(ChunkerEvaluator) Sentence #394 from 00101663 from sent10

Text  : W 40 - milionowym państwie nie znaleziono nikogo , kto mógł by go zastąpić ._
Tokens: 1 2_ 3 4_________ 5_______ 6__ 7_________ 8_____ 9 10_ 11__ 12 13 14______ 15

Chunks:

(ChunkerEvaluator) Sentence #395 from 00101663 from sent11

Text  : Myślę , szanowni państwo , że powinny istnieć na przykład kompanie szkoleniowe dla tych osób ,_ które chcą być prawdziwymi żołnierzami rezerwy ._
Tokens: 1____ 2 3_______ 4______ 5 6_ 7______ 8______ 9_ 10______ 11______ 12_________ 13_ 14__ 15__ 16 17___ 18__ 19_ 20_________ 21_________ 22_____ 23

Chunks:

(ChunkerEvaluator) Sentence #396 from 00101663 from sent12

Text  : Dziękuję .
Tokens: 1_______ 2

Chunks:

(ChunkerEvaluator) Sentence #397 from 00101663 from sent13

Text  : ( Oklaski )
Tokens: 1 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #398 from 00101663 from sent14

Text  : Wicemarszałek Stefan Niesiołowski :
Tokens: 1____________ 2_____ 3___________ 4

Chunks:
  TruePositive nam [2,3] = Stefan Niesiołowski (confidence=1.00)

(ChunkerEvaluator) Sentence #399 from 00101663 from sent15

Text  : Dziękuję panu posłowi .
Tokens: 1_______ 2___ 3______ 4

Chunks:

(ChunkerEvaluator) Sentence #400 from 00101663 from sent16

Text  : Pan poseł Edward Siarka , Prawo i Sprawiedliwość .
Tokens: 1__ 2____ 3_____ 4_____ 5 6____ 7 8_____________ 9

Chunks:
  TruePositive nam [3,4] = Edward Siarka (confidence=1.00)
  TruePositive nam [6,8] = Prawo i Sprawiedliwość (confidence=0.99)

(ChunkerEvaluator) Sentence #401 from 00101663 from sent17

Text  : Poseł Edward Siarka :
Tokens: 1____ 2_____ 3_____ 4

Chunks:
  TruePositive nam [2,3] = Edward Siarka (confidence=1.00)

(ChunkerEvaluator) Sentence #402 from 00101663 from sent18

Text  : Dziękuję bardzo .
Tokens: 1_______ 2_____ 3

Chunks:

(ChunkerEvaluator) Sentence #403 from 00101663 from sent19

Text  : Panie Marszałku !
Tokens: 1____ 2________ 3

Chunks:

(ChunkerEvaluator) Sentence #404 from 00101663 from sent20

Text  : Panie Ministrze !
Tokens: 1____ 2________ 3

Chunks:

(ChunkerEvaluator) Sentence #405 from 00101663 from sent21

Text  : Wysoka Izbo !
Tokens: 1_____ 2___ 3

Chunks:

(ChunkerEvaluator) Sentence #406 from 00101663 from sent22

Text  : Omawiany projekt ustawy reguluje ważną kwestię kwalifikacji kobiet na potrzeby armii ._
Tokens: 1_______ 2______ 3_____ 4_______ 5____ 6______ 7___________ 8_____ 9_ 10______ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #407 from 00101663 from sent23

Text  : Otóż kobiety posiadające kwalifikacje przydatne do czynnej służby wojskowej oraz kobiety pobierające naukę w_ celu uzyskania tych kwalifikacji ,_ a_ kończące w_ danym roku naukę mogą być poddane obowiązkowemu stawieniu się do kwalifikacji wojskowej zgodnie ze zmianą 21 ._ do art ._ 48 omawianego projektu ._
Tokens: 1___ 2______ 3__________ 4___________ 5________ 6_ 7______ 8_____ 9________ 10__ 11_____ 12_________ 13___ 14 15__ 16_______ 17__ 18__________ 19 20 21______ 22 23___ 24__ 25___ 26__ 27_ 28_____ 29___________ 30_______ 31_ 32 33__________ 34_______ 35_____ 36 37____ 38 39 40 41_ 42 43 44________ 45______ 46

Chunks:

(ChunkerEvaluator) Sentence #408 from 00101663 from sent24

Text  : W tym kontekście chciał by m zapytać , w jakich okolicznościach ,_ w_ świetle wprowadzonych przepisów ,_ Ministerstwo Obrony Narodowej przewiduje obowiązek stawienia się do kwalifikacji wojskowej kobiet ._
Tokens: 1 2__ 3_________ 4_____ 5_ 6 7______ 8 9 10____ 11_____________ 12 13 14_____ 15___________ 16_______ 17 18__________ 19____ 20_______ 21________ 22_______ 23_______ 24_ 25 26__________ 27_______ 28____ 29

Chunks:
  TruePositive nam [18,20] = Ministerstwo Obrony Narodowej (confidence=1.00)

2017-06-14 20:20:28,432 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 25 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101667.xml
(ChunkerEvaluator) Sentence #409 from 00101667 from sent1

Text  : Sprawozdanie Komisji Sprawiedliwości i Praw Człowieka o stanowisku Senatu w_ sprawie ustawy o_ zmianie ustawy Prawo o_ adwokaturze ,_ ustawy o_ radcach prawnych oraz ustawy Prawo o_ notariacie (_ druki nr 1575 i_ 1581 )_
Tokens: 1___________ 2______ 3______________ 4 5___ 6________ 7 8_________ 9_____ 10 11_____ 12____ 13 14_____ 15____ 16___ 17 18_________ 19 20____ 21 22_____ 23______ 24__ 25____ 26___ 27 28________ 29 30___ 31 32__ 33 34__ 35

Chunks:
  TruePositive nam [26,28] = Prawo o notariacie (confidence=0.97)
  FalsePositive nam [2,18] = Komisji Sprawiedliwości i Praw Człowieka o stanowisku Senatu w sprawie ustawy o zmianie ustawy Prawo o adwokaturze (confidence=1.00) (incorrect boundry)
  FalseNegative nam [2,6] = Komisji Sprawiedliwości i Praw Człowieka
  FalseNegative nam [9,9] = Senatu
  FalseNegative nam [16,18] = Prawo o adwokaturze
  FalseNegative nam [20,23] = ustawy o radcach prawnych

(ChunkerEvaluator) Sentence #410 from 00101667 from sent2

Text  : – punkt 19 . porządku dziennego
Tokens: 1 2____ 3_ 4 5_______ 6________

Chunks:

(ChunkerEvaluator) Sentence #411 from 00101667 from sent3

Text  : Poseł Józef Zych ( Klub Poselski Polskiego Stronnictwa Ludowego )_
Tokens: 1____ 2____ 3___ 4 5___ 6_______ 7________ 8__________ 9_______ 10

Chunks:
  TruePositive nam [2,3] = Józef Zych (confidence=1.00)
  FalsePositive nam [5,9] = Klub Poselski Polskiego Stronnictwa Ludowego (confidence=0.97) (incorrect boundry)
  FalseNegative nam [7,9] = Polskiego Stronnictwa Ludowego

(ChunkerEvaluator) Sentence #412 from 00101667 from sent4

Text  : Panie Marszałku !
Tokens: 1____ 2________ 3

Chunks:

(ChunkerEvaluator) Sentence #413 from 00101667 from sent5

Text  : Wysoki Sejmie !
Tokens: 1_____ 2_____ 3

Chunks:
  TruePositive nam [2,2] = Sejmie (confidence=0.98)

(ChunkerEvaluator) Sentence #414 from 00101667 from sent6

Text  : Zmiana ustawy Prawo o adwokaturze , ustawy o radcach prawnych oraz ustawy Prawo o_ notariacie jest niewątpliwie potrzebna ,_ ale nie zamyka ona konieczności dokonania głębszych zmian ,_ głównie jeśli chodzi o_ problemy aplikacji ,_ celowości utrzymywania odrębnych zawodów adwokata i_ radcy prawnego ,_ a_ także kwestii samorządowych ._
Tokens: 1_____ 2_____ 3____ 4 5__________ 6 7_____ 8 9______ 10______ 11__ 12____ 13___ 14 15________ 16__ 17__________ 18_______ 19 20_ 21_ 22____ 23_ 24__________ 25_______ 26_______ 27___ 28 29_____ 30___ 31____ 32 33______ 34_______ 35 36_______ 37__________ 38_______ 39_____ 40______ 41 42___ 43______ 44 45 46___ 47_____ 48___________ 49

Chunks:
  TruePositive nam [3,5] = Prawo o adwokaturze (confidence=0.96)
  FalsePositive nam [13,13] = Prawo (confidence=0.85) (incorrect boundry)
  FalseNegative nam [7,10] = ustawy o radcach prawnych
  FalseNegative nam [13,15] = Prawo o notariacie

(ChunkerEvaluator) Sentence #415 from 00101667 from sent7

Text  : Dobrze się stało , że Senat zgłosił dwie kluczowe poprawki dotyczące aplikacji adwokackiej i_ radcowskiej ._
Tokens: 1_____ 2__ 3____ 4 5_ 6____ 7______ 8___ 9_______ 10______ 11_______ 12_______ 13_________ 14 15_________ 16

Chunks:
  TruePositive nam [6,6] = Senat (confidence=1.00)

(ChunkerEvaluator) Sentence #416 from 00101667 from sent8

Text  : Chodzi tu o możliwość odbywania przez okres 5 miesięcy aplikacji w_ sądach i_ prokuraturach oraz przywrócenia zasady ,_ że egzamin adwokacki i_ radcowski składa się z_ pięciu części pisemnych i_ części ustnej ._
Tokens: 1_____ 2_ 3 4________ 5________ 6____ 7____ 8 9_______ 10_______ 11 12____ 13 14___________ 15__ 16__________ 17____ 18 19 20_____ 21_______ 22 23_______ 24____ 25_ 26 27____ 28____ 29_______ 30 31____ 32____ 33

Chunks:

(ChunkerEvaluator) Sentence #417 from 00101667 from sent9

Text  : Na poparcie zasługuje także przyjęcie zasady ustnego egzaminu notarialnego ._
Tokens: 1_ 2_______ 3________ 4____ 5________ 6_____ 7______ 8_______ 9___________ 10

Chunks:

(ChunkerEvaluator) Sentence #418 from 00101667 from sent10

Text  : Klub Parlamentarny PSL głosować będzie za przyjęciem tych poprawek ._
Tokens: 1___ 2____________ 3__ 4_______ 5_____ 6_ 7_________ 8___ 9_______ 10

Chunks:
  TruePositive nam [3,3] = PSL (confidence=0.91)

(ChunkerEvaluator) Sentence #419 from 00101667 from sent11

Text  : Wysoki Sejmie !
Tokens: 1_____ 2_____ 3

Chunks:
  TruePositive nam [2,2] = Sejmie (confidence=0.98)

(ChunkerEvaluator) Sentence #420 from 00101667 from sent12

Text  : W kręgach młodzieży prawniczej toczy się gorąca dyskusja o szerokim dostępie tej młodzieży do aplikacji otwierającej drogę do zawodów prawniczych ._
Tokens: 1 2______ 3________ 4_________ 5____ 6__ 7_____ 8_______ 9 10______ 11______ 12_ 13_______ 14 15_______ 16__________ 17___ 18 19_____ 20_________ 21

Chunks:

(ChunkerEvaluator) Sentence #421 from 00101667 from sent13

Text  : Kolejne rządy i koalicje deklarowały wprowadzenie takiej zasady , a_ zwłaszcza stworzenia warunków do zrealizowania takiej wizji ._
Tokens: 1______ 2____ 3 4_______ 5__________ 6___________ 7_____ 8_____ 9 10 11_______ 12________ 13______ 14 15___________ 16____ 17___ 18

Chunks:

(ChunkerEvaluator) Sentence #422 from 00101667 from sent14

Text  : Okazuje się jednak , chociażby po zmienianych wciąż zasadach odbywania aplikacji sędziowskiej ,_ prokuratorskiej ,_ adwokackiej i_ radcowskiej oraz notarialnej ,_ że wciąż jest to raczej wizja niż realna możliwość zrealizowania w_ pełni żądania powszechnego dostępu do zawodów prawniczych ._
Tokens: 1______ 2__ 3_____ 4 5________ 6_ 7__________ 8____ 9_______ 10_______ 11_______ 12__________ 13 14_____________ 15 16_________ 17 18_________ 19__ 20_________ 21 22 23___ 24__ 25 26____ 27___ 28_ 29____ 30_______ 31___________ 32 33___ 34_____ 35__________ 36_____ 37 38_____ 39_________ 40

Chunks:

(ChunkerEvaluator) Sentence #423 from 00101667 from sent15

Text  : Winą próbuje obciążać się samorządy zrzeszające głównie adwokatów , radców prawnych i_ notariuszy ,_ jako te ,_ które blokują dostęp do tych zawodów ._
Tokens: 1___ 2______ 3_______ 4__ 5________ 6__________ 7______ 8________ 9 10____ 11______ 12 13________ 14 15__ 16 17 18___ 19_____ 20____ 21 22__ 23_____ 24

Chunks:

(ChunkerEvaluator) Sentence #424 from 00101667 from sent16

Text  : Problem jest jednak o wiele głębszy i polega na tym ,_ że brak jest wspólnych uzgodnień co do aplikacji ,_ naboru na aplikację ,_ możliwości przyjmowania na aplikację bez żadnych ograniczeń i_ możliwości zatrudniania po aplikacji ._
Tokens: 1______ 2___ 3_____ 4 5____ 6______ 7 8_____ 9_ 10_ 11 12 13__ 14__ 15_______ 16_______ 17 18 19_______ 20 21____ 22 23_______ 24 25________ 26__________ 27 28_______ 29_ 30_____ 31________ 32 33________ 34__________ 35 36_______ 37

Chunks:

(ChunkerEvaluator) Sentence #425 from 00101667 from sent17

Text  : To wszystko wymaga wspólnych głębokich przemyśleń i gruntownych zmian w_ ustawach na wstępie powołanych ._
Tokens: 1_ 2_______ 3_____ 4________ 5________ 6_________ 7 8__________ 9____ 10 11______ 12 13_____ 14________ 15

Chunks:

(ChunkerEvaluator) Sentence #426 from 00101667 from sent18

Text  : Klub Parlamentarny PSL , opowiadając się za szerokim i powszechnym dostępem młodzieży prawniczej do zawodów prawniczych ,_ oczekuje od rządu i_ samorządów zawodowych wspólnego działania i_ przygotowania projektów ustaw ,_ które doprowadziły by do rozwiązania tak ważnego problemu ._
Tokens: 1___ 2____________ 3__ 4 5__________ 6__ 7_ 8_______ 9 10_________ 11______ 12_______ 13________ 14 15_____ 16_________ 17 18______ 19 20___ 21 22________ 23________ 24_______ 25_______ 26 27___________ 28_______ 29___ 30 31___ 32__________ 33 34 35_________ 36_ 37_____ 38______ 39

Chunks:
  TruePositive nam [3,3] = PSL (confidence=0.83)

(ChunkerEvaluator) Sentence #427 from 00101667 from sent19

Text  : W tym zakresie klub PSL gotowy jest współpracować z pozostałymi ugrupowaniami parlamentarnymi ._
Tokens: 1 2__ 3_______ 4___ 5__ 6_____ 7___ 8____________ 9 10_________ 11___________ 12_____________ 13

Chunks:
  TruePositive nam [5,5] = PSL (confidence=0.99)

2017-06-14 20:20:28,544 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 26 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101719.xml
(ChunkerEvaluator) Sentence #428 from 00101719 from sent1

Text  : Polscy fansuberzy anime , czyli z Anną Koralewską na temat fanów -_ tłumaczy –_ część I_
Tokens: 1_____ 2_________ 3____ 4 5____ 6 7___ 8_________ 9_ 10___ 11___ 12 13______ 14 15___ 16

Chunks:
  TruePositive nam [7,8] = Anną Koralewską (confidence=1.00)

(ChunkerEvaluator) Sentence #429 from 00101719 from sent2

Text  : Drodzy czytelnicy – przez najbliższe kilka postów , chciał by m_ zaproponować wam wywiad z_ Anną Koralewską ._
Tokens: 1_____ 2_________ 3 4____ 5_________ 6____ 7_____ 8 9_____ 10 11 12__________ 13_ 14____ 15 16__ 17________ 18

Chunks:
  TruePositive nam [16,17] = Anną Koralewską (confidence=1.00)

(ChunkerEvaluator) Sentence #430 from 00101719 from sent3

Text  : Kto to taki i dlaczego udziela wywiadu popblogowi ?
Tokens: 1__ 2_ 3___ 4 5_______ 6______ 7______ 8_________ 9

Chunks:

(ChunkerEvaluator) Sentence #431 from 00101719 from sent4

Text  : Już tłumaczę .
Tokens: 1__ 2_______ 3

Chunks:

(ChunkerEvaluator) Sentence #432 from 00101719 from sent5

Text  : Ania to absolwentka toruńskiej socjologii .
Tokens: 1___ 2_ 3__________ 4_________ 5_________ 6

Chunks:
  FalseNegative nam [1,1] = Ania

(ChunkerEvaluator) Sentence #433 from 00101719 from sent6

Text  : Jej promotorem był prof . Tomasz Szlendak , który zachwycił się pracą magisterską ,_ która wyszła spod pióra (_ czy raczej edytora tekstu )_ Ani ._
Tokens: 1__ 2_________ 3__ 4___ 5 6_____ 7_______ 8 9____ 10_______ 11_ 12___ 13_________ 14 15___ 16____ 17__ 18___ 19 20_ 21____ 22_____ 23____ 24 25_ 26

Chunks:
  TruePositive nam [6,7] = Tomasz Szlendak (confidence=1.00)
  FalseNegative nam [25,25] = Ani

(ChunkerEvaluator) Sentence #434 from 00101719 from sent7

Text  : Jej praca zatytułowana jest „ Od fanów dla fanów ._
Tokens: 1__ 2____ 3___________ 4___ 5 6_ 7____ 8__ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #435 from 00101719 from sent8

Text  : Inteligencja kolektywna i kultura daru w społeczności polskich fansuberów anime ”_ ._
Tokens: 1___________ 2_________ 3 4______ 5___ 6 7___________ 8_______ 9_________ 10___ 11 12

Chunks:

(ChunkerEvaluator) Sentence #436 from 00101719 from sent9

Text  : Jak łatwo zatem zauważyć , Ania napisała pracę o fandomie mangi i_ anime ._
Tokens: 1__ 2____ 3____ 4_______ 5 6___ 7_______ 8____ 9 10______ 11___ 12 13___ 14

Chunks:
  TruePositive nam [6,6] = Ania (confidence=1.00)

(ChunkerEvaluator) Sentence #437 from 00101719 from sent10

Text  : Aby być dokładniejszym – o konkretnym wycinku fandomu .
Tokens: 1__ 2__ 3_____________ 4 5 6_________ 7______ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #438 from 00101719 from sent11

Text  : Wycinku związanym z fanami - twórcami napisów do japońskich animacji ._
Tokens: 1______ 2________ 3 4_____ 5 6_______ 7______ 8_ 9_________ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #439 from 00101719 from sent12

Text  : Temat fascynujący .
Tokens: 1____ 2__________ 3

Chunks:

(ChunkerEvaluator) Sentence #440 from 00101719 from sent13

Text  : Wielokrotnie miałem okazję z Anią na ów temat rozmawiać ._
Tokens: 1___________ 2_____ 3_____ 4 5___ 6_ 7_ 8____ 9________ 10

Chunks:
  TruePositive nam [5,5] = Anią (confidence=0.99)

(ChunkerEvaluator) Sentence #441 from 00101719 from sent14

Text  : Wiem , że tematyką fanów zainteresowała się już na drugim roku studiów ._
Tokens: 1___ 2 3_ 4_______ 5____ 6_____________ 7__ 8__ 9_ 10____ 11__ 12_____ 13

Chunks:

(ChunkerEvaluator) Sentence #442 from 00101719 from sent15

Text  : Rok później , po bliższym przyjrzeniu się społeczności fanów mangi i_ anime ,_ była już zdecydowana poważnie zająć się tematyką fanów -_ tłumaczy ._
Tokens: 1__ 2______ 3 4_ 5_______ 6__________ 7__ 8___________ 9____ 10___ 11 12___ 13 14__ 15_ 16_________ 17______ 18___ 19_ 20______ 21___ 22 23______ 24

Chunks:

(ChunkerEvaluator) Sentence #443 from 00101719 from sent16

Text  : Pół roku spędziła we Francji na Université Nancy 2 ._
Tokens: 1__ 2___ 3_______ 4_ 5______ 6_ 7_________ 8____ 9 10

Chunks:
  TruePositive nam [5,5] = Francji (confidence=1.00)
  TruePositive nam [7,9] = Université Nancy 2 (confidence=0.78)

(ChunkerEvaluator) Sentence #444 from 00101719 from sent17

Text  : Pobyt za granicą umożliwił jej dostęp do bardzo dobrze wyposażonych bibliotek ,_ dzięki którym dotarła do odpowiedniej francuskojęzycznej i_ anglojęzycznej literatury związanej z_ fanami ._
Tokens: 1____ 2_ 3______ 4________ 5__ 6_____ 7_ 8_____ 9_____ 10__________ 11_______ 12 13____ 14____ 15_____ 16 17__________ 18________________ 19 20____________ 21________ 22_______ 23 24____ 25

Chunks:

(ChunkerEvaluator) Sentence #445 from 00101719 from sent18

Text  : Po powrocie rozpoczęła intensywne badania sieciowej społeczności fanów .
Tokens: 1_ 2_______ 3_________ 4_________ 5______ 6________ 7___________ 8____ 9

Chunks:

(ChunkerEvaluator) Sentence #446 from 00101719 from sent19

Text  : Praca magisterska powstawała szybko , dzięki wsparciu ze strony fanów -_ tłumaczy ._
Tokens: 1____ 2__________ 3_________ 4_____ 5 6_____ 7_______ 8_ 9_____ 10___ 11 12______ 13

Chunks:

(ChunkerEvaluator) Sentence #447 from 00101719 from sent20

Text  : Obroniła się w czerwcu 2008 roku , ale jeszcze przez kilka miesięcy utrzymywała kontakt z_ osobami przygotowującymi napisy do japońskich animowanych produkcji ._
Tokens: 1_______ 2__ 3 4______ 5___ 6___ 7 8__ 9______ 10___ 11___ 12______ 13_________ 14_____ 15 16_____ 17______________ 18____ 19 20________ 21_________ 22_______ 23

Chunks:

(ChunkerEvaluator) Sentence #448 from 00101719 from sent21

Text  : Czytali oni jej pracę magisterską , wiedzieli , co napisała o_ nich samych ._
Tokens: 1______ 2__ 3__ 4____ 5__________ 6 7________ 8 9_ 10______ 11 12__ 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #449 from 00101719 from sent22

Text  : Z niektórymi z nich ten kontakt utrzymuje do dziś ,_ mimo ,_ że jej ścieżka zawodowa rozminęła się z_ dawnymi zainteresowaniami ._
Tokens: 1 2_________ 3 4___ 5__ 6______ 7________ 8_ 9___ 10 11__ 12 13 14_ 15_____ 16______ 17_______ 18_ 19 20_____ 21_______________ 22

Chunks:

(ChunkerEvaluator) Sentence #450 from 00101719 from sent23

Text  : Obecnie pracuje w jednej z instytucji zajmujących się wdrażaniem Priorytetu VII „_ Promocja integracji społecznej "_ Programu Operacyjnego Kapitał Ludzki ._
Tokens: 1______ 2______ 3 4_____ 5 6_________ 7__________ 8__ 9_________ 10________ 11_ 12 13______ 14________ 15________ 16 17______ 18__________ 19_____ 20____ 21

Chunks:
  FalsePositive nam [13,15] = Promocja integracji społecznej (confidence=0.86) (incorrect boundry)
  FalsePositive nam [17,20] = Programu Operacyjnego Kapitał Ludzki (confidence=0.96) (incorrect boundry)
  FalseNegative nam [12,20] = „ Promocja integracji społecznej " Programu Operacyjnego Kapitał Ludzki

(ChunkerEvaluator) Sentence #451 from 00101719 from sent24

Text  : Raz na jakiś czas dostaje wiadomości ze świata fanów :_ od ludzi ,_ których poznała ,_ ale też od tych ,_ którzy trafili na pozostawione przez nią ślady bytności w_ sieci ._
Tokens: 1__ 2_ 3____ 4___ 5______ 6_________ 7_ 8_____ 9____ 10 11 12___ 13 14_____ 15_____ 16 17_ 18_ 19 20__ 21 22____ 23_____ 24 25__________ 26___ 27_ 28___ 29______ 30 31___ 32

Chunks:

(ChunkerEvaluator) Sentence #452 from 00101719 from sent25

Text  : Tych zostawiła Ania dość sporo : warto chociażby zapoznać się z_ artykułem „_ Fandom mangi i_ anime w_ Polsce ”_ (_ opublikowany jeszcze pod panieńskim nazwiskiem )_ ._
Tokens: 1___ 2________ 3___ 4___ 5____ 6 7____ 8________ 9_______ 10_ 11 12_______ 13 14____ 15___ 16 17___ 18 19____ 20 21 22__________ 23_____ 24_ 25________ 26________ 27 28

Chunks:
  TruePositive nam [3,3] = Ania (confidence=0.93)
  FalsePositive nam [14,15] = Fandom mangi (confidence=0.93) (incorrect boundry)
  FalsePositive nam [19,19] = Polsce (confidence=0.86) (incorrect boundry)
  FalseNegative nam [14,19] = Fandom mangi i anime w Polsce

(ChunkerEvaluator) Sentence #453 from 00101719 from sent26

Text  : Na marginesie dodam tylko , że razem z Anią miałem przyjemność opublikować jeden artykuł naukowy ._
Tokens: 1_ 2_________ 3____ 4____ 5 6_ 7____ 8 9___ 10____ 11_________ 12_________ 13___ 14_____ 15_____ 16

Chunks:
  TruePositive nam [9,9] = Anią (confidence=0.93)

(ChunkerEvaluator) Sentence #454 from 00101719 from sent27

Text  : Właśnie owa współpraca , jak również lektura pracy , pozwalają mi sądzić ,_ że zacznie się z_ ową pracą wkrótce dziać coś więcej -_ być może ukaże się na jej podstawie książka ._
Tokens: 1______ 2__ 3_________ 4 5__ 6______ 7______ 8____ 9 10_______ 11 12____ 13 14 15_____ 16_ 17 18_ 19___ 20_____ 21___ 22_ 23____ 24 25_ 26__ 27___ 28_ 29 30_ 31_______ 32_____ 33

Chunks:

2017-06-14 20:20:28,659 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 27 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101754.xml
(ChunkerEvaluator) Sentence #455 from 00101754 from sent1

Text  : Punktem wyjścia dla Benklera jest analiza ekonomiczna , ale to z_ wykształcenia prawnik ,_ więc nic dziwnego ,_ że szuka następnie drugiego dna ._
Tokens: 1______ 2______ 3__ 4_______ 5___ 6______ 7__________ 8 9__ 10 11 12___________ 13_____ 14 15__ 16_ 17______ 18 19 20___ 21_______ 22______ 23_ 24

Chunks:
  TruePositive nam [4,4] = Benklera (confidence=1.00)

(ChunkerEvaluator) Sentence #456 from 00101754 from sent2

Text  : Potem trzeciego , czwartego . . .
Tokens: 1____ 2________ 3 4________ 5 6 7

Chunks:

(ChunkerEvaluator) Sentence #457 from 00101754 from sent3

Text  : " Bogactwo sieci " , instrukcja do rozdziałów 1 -_ 6_ ._
Tokens: 1 2_______ 3____ 4 5 6_________ 7_ 8_________ 9 10 11 12

Chunks:
  FalseNegative nam [2,3] = Bogactwo sieci

(ChunkerEvaluator) Sentence #458 from 00101754 from sent4

Text  : Rozdział 1 - Wprowadzenie Cała książka w pigułce .
Tokens: 1_______ 2 3 4___________ 5___ 6______ 7 8______ 9

Chunks:
  FalsePositive nam [4,5] = Wprowadzenie Cała (confidence=0.92) (incorrect boundry)

(ChunkerEvaluator) Sentence #459 from 00101754 from sent5

Text  : Przed zażyciem skonsultuj się z lekarzem lub farmaceutą .
Tokens: 1____ 2_______ 3_________ 4__ 5 6_______ 7__ 8_________ 9

Chunks:

(ChunkerEvaluator) Sentence #460 from 00101754 from sent6

Text  : Jeśli przełkniesz bez trudu - to książka dla Ciebie ,_ nawet najbardziej zawiłe rozważania przeczytasz od razu ._
Tokens: 1____ 2__________ 3__ 4____ 5 6_ 7______ 8__ 9_____ 10 11___ 12_________ 13____ 14________ 15_________ 16 17__ 18

Chunks:

(ChunkerEvaluator) Sentence #461 from 00101754 from sent7

Text  : Jeśli nie - wciąż możesz dać reszcie rozdziałów szansę ,_ a_ wprowadzenie przeczytać sobie na końcu ._
Tokens: 1____ 2__ 3 4____ 5_____ 6__ 7______ 8_________ 9_____ 10 11 12__________ 13________ 14___ 15 16___ 17

Chunks:

(ChunkerEvaluator) Sentence #462 from 00101754 from sent8

Text  : Chociaż to właśnie tu Benkler wyjaśnia , że nie jest anarchokomunistą ._
Tokens: 1______ 2_ 3______ 4_ 5______ 6_______ 7 8_ 9__ 10__ 11______________ 12

Chunks:
  TruePositive nam [5,5] = Benkler (confidence=1.00)

(ChunkerEvaluator) Sentence #463 from 00101754 from sent9

Text  : Rozdział 2 - Wybrane cechy ekonomiczne produkcji informacji oraz innowacyjności ._
Tokens: 1_______ 2 3 4______ 5____ 6__________ 7________ 8_________ 9___ 10____________ 11

Chunks:

(ChunkerEvaluator) Sentence #464 from 00101754 from sent10

Text  : Właściwie dlaczego informacja nie powinna być przedmiotem własności tak samo jak samochód ?_
Tokens: 1________ 2_______ 3_________ 4__ 5______ 6__ 7__________ 8________ 9__ 10__ 11_ 12______ 13

Chunks:

(ChunkerEvaluator) Sentence #465 from 00101754 from sent11

Text  : Czy prawo powinno uwzględniać różne strategie produkcji i wymiany informacji ?_
Tokens: 1__ 2____ 3______ 4__________ 5____ 6________ 7________ 8 9______ 10________ 11

Chunks:

(ChunkerEvaluator) Sentence #466 from 00101754 from sent12

Text  : Dlaczego oparcie się na prawach wyłącznych faworyzuje jeden model ,_ który Benkler niewinnie nazywa Myszką Miki ?_
Tokens: 1_______ 2______ 3__ 4_ 5______ 6_________ 7_________ 8____ 9____ 10 11___ 12_____ 13_______ 14____ 15____ 16__ 17

Chunks:
  TruePositive nam [12,12] = Benkler (confidence=0.99)
  TruePositive nam [15,16] = Myszką Miki (confidence=0.98)

(ChunkerEvaluator) Sentence #467 from 00101754 from sent13

Text  : Rozdział 3 - Produkcja partnerska i dzielenie się Istota rozważań Benklera ._
Tokens: 1_______ 2 3 4________ 5_________ 6 7________ 8__ 9_____ 10______ 11______ 12

Chunks:
  TruePositive nam [11,11] = Benklera (confidence=0.97)
  FalsePositive nam [9,9] = Istota (confidence=0.76) (incorrect boundry)

(ChunkerEvaluator) Sentence #468 from 00101754 from sent14

Text  : Może o kilka zdań za dużo , ale jeśli pominie się rozdział o_ produkcji partnerskiej ,_ to można już zacząć się zastanawiać ,_ czy jak na przycisk do papieru ksiązka nie jest jednak zbyt nieporęczna ._
Tokens: 1___ 2 3____ 4___ 5_ 6___ 7 8__ 9____ 10_____ 11_ 12______ 13 14_______ 15__________ 16 17 18___ 19_ 20____ 21_ 22_________ 23 24_ 25_ 26 27______ 28 29_____ 30_____ 31_ 32__ 33____ 34__ 35_________ 36

Chunks:

(ChunkerEvaluator) Sentence #469 from 00101754 from sent15

Text  : Rozdział 4 - Ekonomika produkcji społecznej Produkcja partnerska to piękna teoria ,_ ale czy to przypadkiem nie Adam Smith przewraca się w_ grobie ?_
Tokens: 1_______ 2 3 4________ 5________ 6_________ 7________ 8_________ 9_ 10____ 11____ 12 13_ 14_ 15 16_________ 17_ 18__ 19___ 20_______ 21_ 22 23____ 24

Chunks:
  TruePositive nam [18,19] = Adam Smith (confidence=1.00)
  FalsePositive nam [4,4] = Ekonomika (confidence=0.69) (incorrect boundry)
  FalsePositive nam [7,8] = Produkcja partnerska (confidence=0.76) (incorrect boundry)

(ChunkerEvaluator) Sentence #470 from 00101754 from sent16

Text  : Chyba jednak nie , Benkler konsekwentnie dowodzi , że produkcja społeczna ,_ to nie to samo co gospodarka uspołeczniona ._
Tokens: 1____ 2_____ 3__ 4 5______ 6____________ 7______ 8 9_ 10_______ 11_______ 12 13 14_ 15 16__ 17 18________ 19___________ 20

Chunks:
  TruePositive nam [5,5] = Benkler (confidence=0.99)

(ChunkerEvaluator) Sentence #471 from 00101754 from sent17

Text  : To więcej liberalizmu w liberalizmie niż na Wall Street ._
Tokens: 1_ 2_____ 3__________ 4 5___________ 6__ 7_ 8___ 9_____ 10

Chunks:
  TruePositive nam [8,9] = Wall Street (confidence=0.99)

(ChunkerEvaluator) Sentence #472 from 00101754 from sent18

Text  : Rozdział 5 - Wolność osobista - autonomia , informacja i_ prawo ._
Tokens: 1_______ 2 3 4______ 5_______ 6 7________ 8 9_________ 10 11___ 12

Chunks:
  FalsePositive nam [4,4] = Wolność (confidence=0.91) (incorrect boundry)

(ChunkerEvaluator) Sentence #473 from 00101754 from sent19

Text  : Masz problemy z zasypianiem ?
Tokens: 1___ 2_______ 3 4__________ 5

Chunks:

(ChunkerEvaluator) Sentence #474 from 00101754 from sent20

Text  : Dość rozwlekłe tłumaczenia prostej prawdy , że duży wybór jest dobry ._
Tokens: 1___ 2________ 3__________ 4______ 5_____ 6 7_ 8___ 9____ 10__ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #475 from 00101754 from sent21

Text  : Owszem , ciekawe , ale następne rozdziały są ciekawsze ._
Tokens: 1_____ 2 3______ 4 5__ 6_______ 7________ 8_ 9________ 10

Chunks:

(ChunkerEvaluator) Sentence #476 from 00101754 from sent22

Text  : Rozdział 6 - Wolność polityczna - część 1 ; Problem ze środkami masowego przekazu ._
Tokens: 1_______ 2 3 4______ 5_________ 6 7____ 8 9 10_____ 11 12______ 13______ 14______ 15

Chunks:
  FalsePositive nam [4,4] = Wolność (confidence=0.95) (incorrect boundry)

(ChunkerEvaluator) Sentence #477 from 00101754 from sent23

Text  : Rozważania o tym , jak działają media i dlaczego ,_ a_ w_ nagrodę bardzo ciekawa historia radia i_ tabelka ,_ która wyjaśnia jak to się dzieje ,_ że większość stacji telewizyjnych pokazuje seriale ._
Tokens: 1_________ 2 3__ 4 5__ 6_______ 7____ 8 9_______ 10 11 12 13_____ 14____ 15_____ 16______ 17___ 18 19_____ 20 21___ 22______ 23_ 24 25_ 26____ 27 28 29_______ 30____ 31___________ 32______ 33_____ 34

Chunks:

2017-06-14 20:20:28,751 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 28 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101842.xml
(ChunkerEvaluator) Sentence #478 from 00101842 from sent1

Text  : Tekst Silvermana poświęcony jest Sundance - jednemu z najważniejszych festiwali kina niezależnego ,_ którego tegoroczna edycja startuje właśnie dziś ._
Tokens: 1____ 2_________ 3_________ 4___ 5_______ 6 7______ 8 9______________ 10_______ 11__ 12__________ 13 14_____ 15________ 16____ 17______ 18_____ 19__ 20

Chunks:
  TruePositive nam [5,5] = Sundance (confidence=0.86)
  FalseNegative nam [2,2] = Silvermana

(ChunkerEvaluator) Sentence #479 from 00101842 from sent2

Text  : Organizatorzy Sundance przygotowali w tym roku m . in ._ panel “_ Webolution ”_ ,_ poświęcony zmianom ,_ jakie branży filmowej przyniósł internet ._
Tokens: 1____________ 2_______ 3___________ 4 5__ 6___ 7 8 9_ 10 11___ 12 13________ 14 15 16________ 17_____ 18 19___ 20____ 21______ 22_______ 23______ 24

Chunks:
  TruePositive nam [2,2] = Sundance (confidence=0.99)
  TruePositive nam [23,23] = internet (confidence=0.99)
  FalsePositive nam [13,13] = Webolution (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #480 from 00101842 from sent3

Text  : Silverman nie zadowala się jednak gładkimi zdaniami o sieciowej rewolucji i_ pokazuje ,_ że kino niezależne w_ USA jest w_ odwrocie -_ choć zainteresowanie internautów jest duże ,_ to twórcom trudno jest je spieniężyć ._
Tokens: 1________ 2__ 3_______ 4__ 5_____ 6_______ 7_______ 8 9________ 10_______ 11 12______ 13 14 15__ 16________ 17 18_ 19__ 20 21______ 22 23__ 24_____________ 25_________ 26__ 27__ 28 29 30_____ 31____ 32__ 33 34________ 35

Chunks:
  TruePositive nam [18,18] = USA (confidence=1.00)
  TruePositive nam [25,25] = internautów (confidence=0.88)
  FalseNegative nam [1,1] = Silverman

(ChunkerEvaluator) Sentence #481 from 00101842 from sent4

Text  : A bez pieniędzy trudno robić filmy …
Tokens: 1 2__ 3________ 4_____ 5____ 6____ 7

Chunks:

(ChunkerEvaluator) Sentence #482 from 00101842 from sent5

Text  : Polecam lekturę , bo teza Silvermana jest dość prowokacyjna :_ jest sporo filmów ,_ które nigdy nie trafią do kin i_ można je dystrybuować za sprawą internetu ._
Tokens: 1______ 2______ 3 4_ 5___ 6_________ 7___ 8___ 9___________ 10 11__ 12___ 13____ 14 15___ 16___ 17_ 18____ 19 20_ 21 22___ 23 24__________ 25 26____ 27_______ 28

Chunks:
  TruePositive nam [6,6] = Silvermana (confidence=0.73)
  TruePositive nam [27,27] = internetu (confidence=0.98)

(ChunkerEvaluator) Sentence #483 from 00101842 from sent6

Text  : Można , ale jakoś nie do końca to działa ._
Tokens: 1____ 2 3__ 4____ 5__ 6_ 7____ 8_ 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #484 from 00101842 from sent7

Text  : A piszę o tym również dlatego , że kolejne spotkanie przy Chłodnej (_ choć technicznie bardziej przy Ogrodowej -_ zostajemy w_ drukarni )_ ,_ które odbędzie się 8_ lutego ,_ będzie poświęcone właśnie filmowi w_ erze internetu ._
Tokens: 1 2____ 3 4__ 5______ 6______ 7 8_ 9______ 10_______ 11__ 12______ 13 14__ 15_________ 16______ 17__ 18_______ 19 20_______ 21 22______ 23 24 25___ 26______ 27_ 28 29____ 30 31____ 32________ 33_____ 34_____ 35 36__ 37_______ 38

Chunks:
  TruePositive nam [18,18] = Ogrodowej (confidence=0.88)
  TruePositive nam [37,37] = internetu (confidence=0.97)
  FalseNegative nam [12,12] = Chłodnej

2017-06-14 20:20:28,795 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 29 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101847.xml
(ChunkerEvaluator) Sentence #485 from 00101847 from sent1

Text  : DC Comics - chyba najbardziej znany wydawca komiksów na świecie -_ pracuje nad serwisem ,_ w_ którym internauci będą mogli umieszczać własne prace ._
Tokens: 1_ 2_____ 3 4____ 5__________ 6____ 7______ 8_______ 9_ 10_____ 11 12_____ 13_ 14______ 15 16 17____ 18________ 19__ 20___ 21________ 22____ 23___ 24

Chunks:
  TruePositive nam [1,2] = DC Comics (confidence=1.00)

(ChunkerEvaluator) Sentence #486 from 00101847 from sent2

Text  : Najlepsi dostaną wynagrodzenie i staną przed szansą na światową karierę ._
Tokens: 1_______ 2______ 3____________ 4 5____ 6____ 7_____ 8_ 9_______ 10_____ 11

Chunks:

(ChunkerEvaluator) Sentence #487 from 00101847 from sent3

Text  : Kolejny sektor rynku mediów otwiera się na sieć .
Tokens: 1______ 2_____ 3____ 4_____ 5______ 6__ 7_ 8___ 9

Chunks:

(ChunkerEvaluator) Sentence #488 from 00101847 from sent4

Text  : Inicjatywa o nazwie Zudacomics ma być przepustką do kariery dla komiksiarzy -_ amatorów ._
Tokens: 1_________ 2 3_____ 4_________ 5_ 6__ 7_________ 8_ 9______ 10_ 11_________ 12 13______ 14

Chunks:
  TruePositive nam [4,4] = Zudacomics (confidence=0.98)

(ChunkerEvaluator) Sentence #489 from 00101847 from sent5

Text  : Redaktorzy DC będą bowiem co miesiąc wybierać spośród zgłoszonych prac 10 ich zdaniem najlepszych ._
Tokens: 1_________ 2_ 3___ 4_____ 5_ 6______ 7_______ 8______ 9__________ 10__ 11 12_ 13_____ 14_________ 15

Chunks:
  TruePositive nam [2,2] = DC (confidence=1.00)

(ChunkerEvaluator) Sentence #490 from 00101847 from sent6

Text  : Te trafią na stronę i zostaną poddane ocenie internautów ._
Tokens: 1_ 2_____ 3_ 4_____ 5 6______ 7______ 8_____ 9__________ 10

Chunks:
  FalsePositive nam [9,9] = internautów (confidence=0.60) (incorrect boundry)

(ChunkerEvaluator) Sentence #491 from 00101847 from sent7

Text  : Więc jeśli macie w szufladzie kilka plansz , może warto spróbować ?_
Tokens: 1___ 2____ 3____ 4 5_________ 6____ 7_____ 8 9___ 10___ 11_______ 12

Chunks:

2017-06-14 20:20:28,821 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 30 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101857.xml
(ChunkerEvaluator) Sentence #492 from 00101857 from sent1

Text  : Pisząc jakiś czas temu o kserowaniu starał em się -_ niezbyt chyba skutecznie -_ wskazać na konieczność zrozumienia ,_ jak coraz częściej działania komercyjne i_ rynkowe współistnieją ,_ bądź więc konkurują z_ działaniami amatorskimi i_ darmowymi ._
Tokens: 1_____ 2____ 3___ 4___ 5 6_________ 7_____ 8_ 9__ 10 11_____ 12___ 13________ 14 15_____ 16 17_________ 18_________ 19 20_ 21___ 22______ 23_______ 24________ 25 26_____ 27___________ 28 29__ 30__ 31_______ 32 33_________ 34_________ 35 36_______ 37

Chunks:

(ChunkerEvaluator) Sentence #493 from 00101857 from sent2

Text  : Mamy dziś ludzi z aparatami , które są równie przydatne jak płatne ksero ;_ mamy piratów ,_ którzy za darmo udostępniają treści ,_ które w_ sklepach trzeba kupić ,_ itd ._
Tokens: 1___ 2___ 3____ 4 5________ 6 7____ 8_ 9_____ 10_______ 11_ 12____ 13___ 14 15__ 16_____ 17 18____ 19 20___ 21__________ 22____ 23 24___ 25 26______ 27____ 28___ 29 30_ 31

Chunks:

(ChunkerEvaluator) Sentence #494 from 00101857 from sent3

Text  : Problemem interesuje się Andrew Keen - stawiając prostą tezę ,_ z_ którą nijak się nie zgadzam :_ konkurowanie z_ komercyjną produkcją kulturową ,_ profesjonalnymi usługami ,_ itd ._ jest niemoralne i_ obrzydliwe ._
Tokens: 1________ 2_________ 3__ 4_____ 5___ 6 7________ 8_____ 9___ 10 11 12___ 13___ 14_ 15_ 16_____ 17 18__________ 19 20________ 21_______ 22_______ 23 24_____________ 25______ 26 27_ 28 29__ 30________ 31 32________ 33

Chunks:
  TruePositive nam [4,5] = Andrew Keen (confidence=1.00)

(ChunkerEvaluator) Sentence #495 from 00101857 from sent4

Text  : Jednym z ulubionych przykładów Keena jest serwis Craigslist , którego działanie podsumowuje tak :_
Tokens: 1_____ 2 3_________ 4_________ 5____ 6___ 7_____ 8_________ 9 10_____ 11_______ 12_________ 13_ 14

Chunks:
  TruePositive nam [5,5] = Keena (confidence=1.00)
  TruePositive nam [8,8] = Craigslist (confidence=0.94)

(ChunkerEvaluator) Sentence #496 from 00101857 from sent5

Text  : To cytat z wpisu , w którym Keen dowodzi ,_ że wprowadzając opłatę rzędu $_ 5_ za ogłoszenia erotyczne Craigslist generował by obrót w_ wysokości co najmniej $_ 100m ._
Tokens: 1_ 2____ 3 4____ 5 6 7_____ 8___ 9______ 10 11 12__________ 13____ 14___ 15 16 17 18________ 19_______ 20________ 21_______ 22 23___ 24 25_______ 26 27______ 28 29__ 30

Chunks:
  TruePositive nam [8,8] = Keen (confidence=0.98)
  TruePositive nam [20,20] = Craigslist (confidence=0.99)

(ChunkerEvaluator) Sentence #497 from 00101857 from sent6

Text  : Problem polega na tym , że twórca Craigslist , Craig Newmark ,_ myśli zupełnie inaczej -_ i_ dlatego nazywa Craigslist ,_ który formalnie rzecz biorąc prowadzi firma komercyjna ,_ “_ serwisem społecznym ”_ (_ community service )_ ._
Tokens: 1______ 2_____ 3_ 4__ 5 6_ 7_____ 8_________ 9 10___ 11_____ 12 13___ 14______ 15_____ 16 17 18_____ 19____ 20________ 21 22___ 23_______ 24___ 25____ 26______ 27___ 28________ 29 30 31______ 32________ 33 34 35_______ 36_____ 37 38

Chunks:
  TruePositive nam [8,8] = Craigslist (confidence=1.00)
  TruePositive nam [10,11] = Craig Newmark (confidence=1.00)
  TruePositive nam [20,20] = Craigslist (confidence=1.00)

(ChunkerEvaluator) Sentence #498 from 00101857 from sent7

Text  : Jeśli ktoś nie zna zbyt dobrze Craigslist , to polecam wywiad ,_ z_ którego pochodzi ten cytat ._
Tokens: 1____ 2___ 3__ 4__ 5___ 6_____ 7_________ 8 9_ 10_____ 11____ 12 13 14_____ 15______ 16_ 17___ 18

Chunks:
  TruePositive nam [7,7] = Craigslist (confidence=1.00)

(ChunkerEvaluator) Sentence #499 from 00101857 from sent8

Text  : Craigslist interesuje mnie ze względu na nietypowe podejście do robienia biznesu ,_ ale też ze względu na charakterystyczną aurę “_ dobroci ”_ ,_ którą udało się twórcom wypracować ._
Tokens: 1_________ 2_________ 3___ 4_ 5______ 6_ 7________ 8________ 9_ 10______ 11_____ 12 13_ 14_ 15 16_____ 17 18_______________ 19__ 20 21_____ 22 23 24___ 25___ 26_ 27_____ 28________ 29

Chunks:
  FalseNegative nam [1,1] = Craigslist

(ChunkerEvaluator) Sentence #500 from 00101857 from sent9

Text  : Można ją porównać do mody wygenerowanej np . wokół Second Life ._
Tokens: 1____ 2_ 3_______ 4_ 5___ 6____________ 7_ 8 9____ 10____ 11__ 12

Chunks:
  TruePositive nam [10,11] = Second Life (confidence=1.00)

(ChunkerEvaluator) Sentence #501 from 00101857 from sent10

Text  : W tym drugim wypadku wiadomo oczywiście , że SL nie jest czarodziejskim miejscem i_ biznesowym rajem ,_ jakim się go maluje ._
Tokens: 1 2__ 3_____ 4______ 5______ 6_________ 7 8_ 9_ 10_ 11__ 12____________ 13______ 14 15________ 16___ 17 18___ 19_ 20 21____ 22

Chunks:
  TruePositive nam [9,9] = SL (confidence=0.96)

(ChunkerEvaluator) Sentence #502 from 00101857 from sent11

Text  : W przypadku Craigslist nie słyszał em o analizie , która spróbowała by pokazać ,_ czy rzeczywiście w_ jakiś magiczny sposób Craiglist zmienia relacje z_ czysto biznesowych na bardziej -_ chciało by się powiedzieć -_ ludzkie ?_
Tokens: 1 2________ 3_________ 4__ 5______ 6_ 7 8_______ 9 10___ 11________ 12 13_____ 14 15_ 16__________ 17 18___ 19______ 20____ 21_______ 22_____ 23_____ 24 25____ 26_________ 27 28______ 29 30_____ 31 32_ 33________ 34 35_____ 36

Chunks:
  TruePositive nam [3,3] = Craigslist (confidence=0.99)
  TruePositive nam [21,21] = Craiglist (confidence=0.98)

2017-06-14 20:20:28,897 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 31 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101906.xml
(ChunkerEvaluator) Sentence #503 from 00101906 from sent1

Text  : Czym są wzorce projektowe ?
Tokens: 1___ 2_ 3_____ 4_________ 5

Chunks:

(ChunkerEvaluator) Sentence #504 from 00101906 from sent2

Text  : W inżynierii oprogramowania wzorzec projektowy ( ang . design pattern )_ to uniwersalne ,_ sprawdzone rozwiązanie często pojawiających się problemów projektowych ._
Tokens: 1 2_________ 3_____________ 4______ 5_________ 6 7__ 8 9_____ 10_____ 11 12 13_________ 14 15________ 16_________ 17____ 18___________ 19_ 20_______ 21__________ 22

Chunks:

(ChunkerEvaluator) Sentence #505 from 00101906 from sent3

Text  : Ciekawą definicję wzorca projektowego podali C . Alexander , S_ ._ Ishikawa ,_ M_ ._ Silverstein w_ "_ A_ Pattern Language "_ :_ "_ Każdy wzorzec opisuje problem ,_ który ciągle pojawia się w_ naszej dziedzinie ,_ a_ następnie określa zasadniczą część jego rozwiązania w_ taki sposób ,_ by można było zastosować je nawet milion razy ,_ za każdym razem w_ nieco inny sposób "_ ,_ ta definicja w_ pełni oddaje idee wzorca projektowego (_ nie tylko w_ informatyce )_ ._
Tokens: 1______ 2________ 3_____ 4___________ 5_____ 6 7 8________ 9 10 11 12______ 13 14 15 16_________ 17 18 19 20_____ 21______ 22 23 24 25___ 26_____ 27_____ 28_____ 29 30___ 31____ 32_____ 33_ 34 35____ 36________ 37 38 39_______ 40_____ 41________ 42___ 43__ 44_________ 45 46__ 47____ 48 49 50___ 51__ 52________ 53 54___ 55____ 56__ 57 58 59____ 60___ 61 62___ 63__ 64____ 65 66 67 68_______ 69 70___ 71____ 72__ 73____ 74__________ 75 76_ 77___ 78 79_________ 80 81

Chunks:
  TruePositive nam [6,8] = C . Alexander (confidence=1.00)
  TruePositive nam [10,12] = S . Ishikawa (confidence=0.86)
  TruePositive nam [14,16] = M . Silverstein (confidence=1.00)
  TruePositive nam [19,21] = A Pattern Language (confidence=0.81)

(ChunkerEvaluator) Sentence #506 from 00101906 from sent4

Text  : Architekt Christopher Alexander , jako pierwszy uchwycił koncepcję idei projektowych jako rodzaju wzorca ._
Tokens: 1________ 2__________ 3________ 4 5___ 6_______ 7_______ 8________ 9___ 10__________ 11__ 12_____ 13____ 14

Chunks:
  TruePositive nam [2,3] = Christopher Alexander (confidence=0.78)

(ChunkerEvaluator) Sentence #507 from 00101906 from sent5

Text  : Według niego wzorce zostały pomyślane jako zestaw sprawdzonych koncepcji architektonicznych służących konstruowaniu środowiska mieszkalnego i_ środowiska pracy ._
Tokens: 1_____ 2____ 3_____ 4______ 5________ 6___ 7_____ 8___________ 9________ 10________________ 11_______ 12___________ 13________ 14__________ 15 16________ 17___ 18

Chunks:

(ChunkerEvaluator) Sentence #508 from 00101906 from sent6

Text  : Sam termin wzorca projektowego ( design pattern ) do inżynierii oprogramowania wprowadził około roku 1987 Kent Beck ,_ natomiast swoją popularyzację zawdzięcza kultowej już książce Desing Pattern autorstwa Gammy ,_ Helma ,_ Johnsona i_ Vlissidesa ,_ zwanych potocznie "_ Bandą Czworga "_ lub "_ Bandą Czterech "_ (_ ang ._ Gang of Four )_ ._
Tokens: 1__ 2_____ 3_____ 4___________ 5 6_____ 7______ 8 9_ 10________ 11____________ 12________ 13___ 14__ 15__ 16__ 17__ 18 19_______ 20___ 21___________ 22________ 23______ 24_ 25_____ 26____ 27_____ 28_______ 29___ 30 31___ 32 33______ 34 35________ 36 37_____ 38_______ 39 40___ 41_____ 42 43_ 44 45___ 46______ 47 48 49_ 50 51__ 52 53__ 54 55

Chunks:
  TruePositive nam [16,17] = Kent Beck (confidence=0.98)
  TruePositive nam [26,27] = Desing Pattern (confidence=0.79)
  TruePositive nam [29,29] = Gammy (confidence=0.93)
  TruePositive nam [31,31] = Helma (confidence=1.00)
  TruePositive nam [33,33] = Johnsona (confidence=0.90)
  TruePositive nam [35,35] = Vlissidesa (confidence=1.00)
  TruePositive nam [40,41] = Bandą Czworga (confidence=0.99)
  TruePositive nam [45,46] = Bandą Czterech (confidence=0.99)
  TruePositive nam [51,53] = Gang of Four (confidence=0.84)

(ChunkerEvaluator) Sentence #509 from 00101906 from sent7

Text  : Obecnie wzorce projektowe są związane z programowaniem obiektowym , przedstawiają one przykładowe rozwiązanie projektowe części aplikacji (_ w_ przeciwieństwie do algorytmu ,_ który rozwiązuje problem obliczeniowy )_ ._
Tokens: 1______ 2_____ 3_________ 4_ 5_______ 6 7_____________ 8_________ 9 10___________ 11_ 12_________ 13_________ 14________ 15____ 16_______ 17 18 19_____________ 20 21_______ 22 23___ 24________ 25_____ 26__________ 27 28

Chunks:

(ChunkerEvaluator) Sentence #510 from 00101906 from sent8

Text  : Tworząc rozwiązanie oparte na wzorcach projektowych , nie staramy się skupić na funkcjonowaniu poszczególnych elementów ale na abstrakcyjnym opisu zależności pomiędzy klasami ,_ co powoduje standaryzowanie tworzonego kodu ,_ który jest bardziej czytelny ,_ mniej zawodny oraz bardziej zrozumiały ._
Tokens: 1______ 2__________ 3_____ 4_ 5_______ 6___________ 7 8__ 9______ 10_ 11____ 12 13____________ 14____________ 15_______ 16_ 17 18___________ 19___ 20________ 21______ 22_____ 23 24 25______ 26_____________ 27________ 28__ 29 30___ 31__ 32______ 33______ 34 35___ 36_____ 37__ 38______ 39________ 40

Chunks:

(ChunkerEvaluator) Sentence #511 from 00101906 from sent9

Text  : Wartością wzorców projektowych nie jest tylko rozwiązanie problemu ale również sam wzorzec stanowi swoistą dokumentacje ,_ która wyjaśnia cel ,_ działanie ,_ zalety danego rozwiązania ,_ co pociąga za sobą łatwiejsze stosowanie oraz adaptowanie wzorca w_ danym zastosowaniu ._
Tokens: 1________ 2______ 3___________ 4__ 5___ 6____ 7__________ 8_______ 9__ 10_____ 11_ 12_____ 13_____ 14_____ 15__________ 16 17___ 18______ 19_ 20 21_______ 22 23____ 24____ 25_________ 26 27 28_____ 29 30__ 31________ 32________ 33__ 34_________ 35____ 36 37___ 38__________ 39

Chunks:

(ChunkerEvaluator) Sentence #512 from 00101906 from sent10

Text  : Korzystanie z wzorców projektowych na ogół znacznie przyspiesza wytwarzanie gotowych aplikacji oraz usprawnia zmiany dokonywane w_ celu zaspokojenia ewoluujących oczekiwań względem projektowanego systemu :_ rozszerzeniem jego funkcjonalności ,_ zmianę sposobu oraz formatu wprowadzanych danych ,_ czy to stosowaniem aplikacji do różnych rodzajów użytkowników ._
Tokens: 1__________ 2 3______ 4___________ 5_ 6___ 7_______ 8__________ 9__________ 10______ 11_______ 12__ 13_______ 14____ 15________ 16 17__ 18__________ 19__________ 20_______ 21______ 22____________ 23_____ 24 25___________ 26__ 27_____________ 28 29____ 30_____ 31__ 32_____ 33___________ 34____ 35 36_ 37 38_________ 39_______ 40 41_____ 42______ 43__________ 44

Chunks:

(ChunkerEvaluator) Sentence #513 from 00101906 from sent11

Text  : Nie wykorzystywanie wzorców projektowych często pociąga za sobą gruntowną przebudowę zaawansowanego lub wręcz gotowego oprogramowania ._
Tokens: 1__ 2______________ 3______ 4___________ 5_____ 6______ 7_ 8___ 9________ 10________ 11____________ 12_ 13___ 14______ 15____________ 16

Chunks:

(ChunkerEvaluator) Sentence #514 from 00101906 from sent12

Text  : Banda Czworga w swojej książce przedstawiła szereg wzorców projektowych ,_ które podzieli na trzy różne typy ._
Tokens: 1____ 2______ 3 4_____ 5______ 6___________ 7_____ 8______ 9___________ 10 11___ 12______ 13 14__ 15___ 16__ 17

Chunks:
  TruePositive nam [1,2] = Banda Czworga (confidence=0.89)

2017-06-14 20:20:28,994 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 32 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101939.xml
(ChunkerEvaluator) Sentence #515 from 00101939 from sent1

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #516 from 00101939 from sent2

Text  : Informacje niejawne mogą mieć formę ustną , wizualną lub formę dokumentu ,_ lub każdą inną ,_ w_ tym także formę sprzętu lub technologii ._
Tokens: 1_________ 2_______ 3___ 4___ 5____ 6____ 7 8_______ 9__ 10___ 11_______ 12 13_ 14___ 15__ 16 17 18_ 19___ 20___ 21_____ 22_ 23_________ 24

Chunks:

(ChunkerEvaluator) Sentence #517 from 00101939 from sent3

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #518 from 00101939 from sent4

Text  : Informacjom niejawnym przyznaje się adekwatną do ich treści klauzulę tajności ,_ zgodnie z_ prawem krajowym każdej ze Stron ._
Tokens: 1__________ 2________ 3________ 4__ 5________ 6_ 7__ 8_____ 9_______ 10______ 11 12_____ 13 14____ 15______ 16____ 17 18___ 19

Chunks:

(ChunkerEvaluator) Sentence #519 from 00101939 from sent5

Text  : Każda ze Stron opieczętowuje lub oznacza wszystkie informacje niejawne otrzymane od drugiej Strony nazwą rządu Strony wytwarzającej ._
Tokens: 1____ 2_ 3____ 4____________ 5__ 6______ 7________ 8_________ 9_______ 10_______ 11 12_____ 13____ 14___ 15___ 16____ 17___________ 18

Chunks:

(ChunkerEvaluator) Sentence #520 from 00101939 from sent6

Text  : Informacje są oznaczane klauzulami tajności Strony otrzymującej w celu zapewnienia poziomu ochrony odpowiadającego określonemu przez Stronę wytwarzającą ._
Tokens: 1_________ 2_ 3________ 4_________ 5_______ 6_____ 7___________ 8 9___ 10_________ 11_____ 12_____ 13_____________ 14_________ 15___ 16____ 17__________ 18

Chunks:

(ChunkerEvaluator) Sentence #521 from 00101939 from sent7

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #522 from 00101939 from sent8

Text  : Strony uzgadniają , że niżej wymienione klauzule tajności są równorzędne :_
Tokens: 1_____ 2_________ 3 4_ 5____ 6_________ 7_______ 8_______ 9_ 10_________ 11

Chunks:

(ChunkerEvaluator) Sentence #523 from 00101939 from sent9

Text  : RZECZPOSPOLITA POLSKA KRAJOWE WŁADZE BEZPIECZEŃSTWA
Tokens: 1_____________ 2_____ 3______ 4_____ 5_____________

Chunks:
  FalsePositive nam [1,5] = RZECZPOSPOLITA POLSKA KRAJOWE WŁADZE BEZPIECZEŃSTWA (confidence=0.73) (incorrect boundry)
  FalseNegative nam [1,2] = RZECZPOSPOLITA POLSKA

(ChunkerEvaluator) Sentence #524 from 00101939 from sent10

Text  : ARTYKUŁ 5
Tokens: 1______ 2

Chunks:

(ChunkerEvaluator) Sentence #525 from 00101939 from sent11

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #526 from 00101939 from sent12

Text  : Krajowymi władzami bezpieczeństwa w rozumieniu niniejszej Umowy są :
Tokens: 1________ 2_______ 3_____________ 4 5_________ 6_________ 7____ 8_ 9

Chunks:

(ChunkerEvaluator) Sentence #527 from 00101939 from sent13

Text  : 1 ) w Rzeczypospolitej Polskiej : Szef Agencji Bezpieczeństwa Wewnętrznego oraz Szef Służby Kontrwywiadu Wojskowego ;_
Tokens: 1 2 3 4_______________ 5_______ 6 7___ 8______ 9_____________ 10__________ 11__ 12__ 13____ 14__________ 15________ 16

Chunks:
  TruePositive nam [4,5] = Rzeczypospolitej Polskiej (confidence=1.00)
  FalsePositive nam [7,10] = Szef Agencji Bezpieczeństwa Wewnętrznego (confidence=0.55) (incorrect boundry)
  FalsePositive nam [12,15] = Szef Służby Kontrwywiadu Wojskowego (confidence=0.98) (incorrect boundry)
  FalseNegative nam [8,10] = Agencji Bezpieczeństwa Wewnętrznego
  FalseNegative nam [13,15] = Służby Kontrwywiadu Wojskowego

(ChunkerEvaluator) Sentence #528 from 00101939 from sent14

Text  : 2 ) w Stanach Zjednoczonych Ameryki : Departament Obrony ._
Tokens: 1 2 3 4______ 5____________ 6______ 7 8__________ 9_____ 10

Chunks:
  TruePositive nam [4,6] = Stanach Zjednoczonych Ameryki (confidence=1.00)
  TruePositive nam [8,9] = Departament Obrony (confidence=0.74)

(ChunkerEvaluator) Sentence #529 from 00101939 from sent15

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #530 from 00101939 from sent16

Text  : Krajowe władze bezpieczeństwa mogą zawierać dodatkowe porozumienia wykonawcze do niniejszej Umowy ._
Tokens: 1______ 2_____ 3_____________ 4___ 5_______ 6________ 7___________ 8_________ 9_ 10________ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #531 from 00101939 from sent17

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #532 from 00101939 from sent18

Text  : Strony informują się o wszelkich zmianach w swoich krajowych władzach bezpieczeństwa lub zakresie ich odpowiedzialności wynikającym z_ postanowień niniejszej Umowy ._
Tokens: 1_____ 2________ 3__ 4 5________ 6_______ 7 8_____ 9________ 10______ 11____________ 12_ 13______ 14_ 15_______________ 16_________ 17 18_________ 19________ 20___ 21

Chunks:

(ChunkerEvaluator) Sentence #533 from 00101939 from sent19

Text  : DOSTĘP DO INFORMACJI NIEJAWNYCH
Tokens: 1_____ 2_ 3_________ 4_________

Chunks:
  FalsePositive nam [3,4] = INFORMACJI NIEJAWNYCH (confidence=0.58) (incorrect boundry)

(ChunkerEvaluator) Sentence #534 from 00101939 from sent20

Text  : ARTYKUŁ 6
Tokens: 1______ 2

Chunks:

(ChunkerEvaluator) Sentence #535 from 00101939 from sent21

Text  : Na dostęp do informacji niejawnych zezwala się , zgodnie z_ zasadą ograniczonego dostępu ,_ tylko tym osobom ,_ których zadania służbowe wymagają zapoznania się z_ nimi ,_ które posiadają poświadczenie bezpieczeństwa wydane zgodnie z_ określonymi wymaganiami Stron ,_ oraz które zostały przeszkolone w_ zakresie ochrony informacji niejawnych zgodnie z_ prawem krajowym każdej ze Stron ._
Tokens: 1_ 2_____ 3_ 4_________ 5_________ 6______ 7__ 8 9______ 10 11____ 12___________ 13_____ 14 15___ 16_ 17____ 18 19_____ 20_____ 21______ 22______ 23________ 24_ 25 26__ 27 28___ 29_______ 30___________ 31____________ 32____ 33_____ 34 35_________ 36_________ 37___ 38 39__ 40___ 41_____ 42__________ 43 44______ 45_____ 46________ 47________ 48_____ 49 50____ 51______ 52____ 53 54___ 55

Chunks:

(ChunkerEvaluator) Sentence #536 from 00101939 from sent22

Text  : Stopień , stanowisko służbowe lub posiadanie poświadczenia bezpieczeństwa nie są wystarczającymi przesłankami na uzyskanie dostępu do informacji niejawnych ._
Tokens: 1______ 2 3_________ 4_______ 5__ 6_________ 7____________ 8_____________ 9__ 10 11_____________ 12__________ 13 14_______ 15_____ 16 17________ 18________ 19

Chunks:

(ChunkerEvaluator) Sentence #537 from 00101939 from sent23

Text  : Strony zapewniają , że :
Tokens: 1_____ 2_________ 3 4_ 5

Chunks:

(ChunkerEvaluator) Sentence #538 from 00101939 from sent24

Text  : 1 ) Strona otrzymująca nie przekaże informacji stronie trzeciej bez pisemnej zgody Strony wytwarzającej ;_
Tokens: 1 2 3_____ 4__________ 5__ 6_______ 7_________ 8______ 9_______ 10_ 11______ 12___ 13____ 14___________ 15

Chunks:

(ChunkerEvaluator) Sentence #539 from 00101939 from sent25

Text  : 2 ) Strona otrzymująca zapewni informacjom poziom ochrony odpowiadający określonemu przez Stronę wytwarzającą ,_ zgodnie z_ postanowieniami artykułu 4_ ustęp 3_ ;_
Tokens: 1 2 3_____ 4__________ 5______ 6__________ 7_____ 8______ 9____________ 10_________ 11___ 12____ 13__________ 14 15_____ 16 17_____________ 18______ 19 20___ 21 22

Chunks:

(ChunkerEvaluator) Sentence #540 from 00101939 from sent26

Text  : 3 ) Strona otrzymująca będzie wykorzystywać informacje wyłącznie w celu ,_ w_ jakim zostały one przekazane ;_
Tokens: 1 2 3_____ 4__________ 5_____ 6____________ 7_________ 8________ 9 10__ 11 12 13___ 14_____ 15_ 16________ 17

Chunks:

(ChunkerEvaluator) Sentence #541 from 00101939 from sent27

Text  : 4 ) Strona otrzymująca będzie respektować i chronić prawa osobiste ,_ takie jak patenty ,_ prawa autorskie lub inne prawa ,_ które stanowią część informacji ,_ oraz
Tokens: 1 2 3_____ 4__________ 5_____ 6__________ 7 8______ 9____ 10______ 11 12___ 13_ 14_____ 15 16___ 17_______ 18_ 19__ 20___ 21 22___ 23______ 24___ 25________ 26 27__

Chunks:

(ChunkerEvaluator) Sentence #542 from 00101939 from sent28

Text  : 5 ) wszystkie jednostki , w których wykorzystywane są informacje niejawne będą prowadziły rejestr osób posiadających poświadczenia bezpieczeństwa ,_ które w_ danych jednostkach są uprawnione do dostępu do takich informacji ._
Tokens: 1 2 3________ 4________ 5 6 7______ 8_____________ 9_ 10________ 11______ 12__ 13________ 14_____ 15__ 16___________ 17___________ 18____________ 19 20___ 21 22____ 23_________ 24 25________ 26 27_____ 28 29____ 30________ 31

Chunks:

2017-06-14 20:20:29,092 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 33 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101953.xml
(ChunkerEvaluator) Sentence #543 from 00101953 from sent1

Text  : Autorzy miesięcznika . psd Photoshop postanowili uprościć czytelnikom drogę do nabycia magazynu ._
Tokens: 1______ 2___________ 3 4__ 5________ 6__________ 7_______ 8__________ 9____ 10 11_____ 12______ 13

Chunks:
  FalsePositive nam [5,5] = Photoshop (confidence=0.99) (incorrect boundry)
  FalseNegative nam [3,5] = . psd Photoshop

(ChunkerEvaluator) Sentence #544 from 00101953 from sent2

Text  : Udostępnili oni za darmo magazyn w formacie pdf jak i_ pliki źródłowe do pobrania w_ Internecie ._
Tokens: 1__________ 2__ 3_ 4____ 5______ 6 7_______ 8__ 9__ 10 11___ 12______ 13 14______ 15 16________ 17

Chunks:
  TruePositive nam [16,16] = Internecie (confidence=1.00)
  FalseNegative nam [8,8] = pdf

(ChunkerEvaluator) Sentence #545 from 00101953 from sent3

Text  : Do tej pory można było kupić jedynie wersję papierową z_ płytą ._
Tokens: 1_ 2__ 3___ 4____ 5___ 6____ 7______ 8_____ 9________ 10 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #546 from 00101953 from sent4

Text  : Warto dodać , że magazyn jest po raz ostatni w_ sklepach i_ salonikach prasowych -_ od czerwca dostępna już będzie jedynie wersja elektroniczna ._
Tokens: 1____ 2____ 3 4_ 5______ 6___ 7_ 8__ 9______ 10 11______ 12 13________ 14_______ 15 16 17_____ 18______ 19_ 20____ 21_____ 22____ 23___________ 24

Chunks:

(ChunkerEvaluator) Sentence #547 from 00101953 from sent5

Text  : W niedalekiej przyszłości dostępne będą także archiwa .
Tokens: 1 2__________ 3__________ 4_______ 5___ 6____ 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #548 from 00101953 from sent6

Text  : Czy cały czas za darmo ?
Tokens: 1__ 2___ 3___ 4_ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #549 from 00101953 from sent7

Text  : Tego nie udało się ustalić .
Tokens: 1___ 2__ 3____ 4__ 5______ 6

Chunks:

2017-06-14 20:20:29,114 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 34 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101962.xml
(ChunkerEvaluator) Sentence #550 from 00101962 from sent1

Text  : Małysz musi się teraz postarać o prawdziwy cud , bo Puchar Świata to zdecydowanie za mało ,_ żeby przebić wyczyn Roberta Kubicy ._
Tokens: 1_____ 2___ 3__ 4____ 5_______ 6 7________ 8__ 9 10 11____ 12____ 13 14__________ 15 16__ 17 18__ 19_____ 20____ 21_____ 22____ 23

Chunks:
  TruePositive nam [1,1] = Małysz (confidence=0.80)
  TruePositive nam [11,12] = Puchar Świata (confidence=1.00)
  TruePositive nam [21,22] = Roberta Kubicy (confidence=1.00)

(ChunkerEvaluator) Sentence #551 from 00101962 from sent2

Text  : Prędkość na progu miał Małysz zawsze niewielką , a tu jeszcze taki rywal ,_ który wybija się mając na liczniku 250 kilometrów na godzinę ._
Tokens: 1_______ 2_ 3____ 4___ 5_____ 6_____ 7________ 8 9 10 11_____ 12__ 13___ 14 15___ 16____ 17_ 18___ 19 20______ 21_ 22________ 23 24_____ 25

Chunks:
  TruePositive nam [5,5] = Małysz (confidence=1.00)

(ChunkerEvaluator) Sentence #552 from 00101962 from sent3

Text  : Noty za styl całkiem niezłe , Paulina Ligocka by się między dwiema bandami lepiej nie zachowała ._
Tokens: 1___ 2_ 3___ 4______ 5_____ 6 7______ 8______ 9_ 10_ 11____ 12____ 13_____ 14____ 15_ 16_______ 17

Chunks:
  TruePositive nam [7,8] = Paulina Ligocka (confidence=1.00)

(ChunkerEvaluator) Sentence #553 from 00101962 from sent4

Text  : Sokół z Krakowa wypadł na ekranie lepiej nawet od Jana Mazocha i_ wreszcie przyćmił Lewisa Hamiltona ,_ którego bez wątpienia przypadkowe zwycięstwo przeszło niemal bez echa ._
Tokens: 1____ 2 3______ 4_____ 5_ 6______ 7_____ 8____ 9_ 10__ 11_____ 12 13______ 14______ 15____ 16_______ 17 18_____ 19_ 20_______ 21_________ 22________ 23______ 24____ 25_ 26__ 27

Chunks:
  TruePositive nam [3,3] = Krakowa (confidence=1.00)
  TruePositive nam [10,11] = Jana Mazocha (confidence=1.00)
  TruePositive nam [15,16] = Lewisa Hamiltona (confidence=1.00)
  FalseNegative nam [1,1] = Sokół

(ChunkerEvaluator) Sentence #554 from 00101962 from sent5

Text  : Niezniszczalny Krakus stał się prawdziwym bohaterem Formuły 1 , w_ której robi się wszystko ,_ żeby wypadków było jak najmniej ,_ byle jakieś były ._
Tokens: 1_____________ 2_____ 3___ 4__ 5_________ 6________ 7______ 8 9 10 11____ 12__ 13_ 14______ 15 16__ 17______ 18__ 19_ 20______ 21 22__ 23____ 24__ 25

Chunks:
  TruePositive nam [2,2] = Krakus (confidence=0.99)
  FalseNegative nam [7,8] = Formuły 1

(ChunkerEvaluator) Sentence #555 from 00101962 from sent6

Text  : Polak na szczęście potrafi i jego wypadek byle jaki nie był ._
Tokens: 1____ 2_ 3________ 4______ 5 6___ 7______ 8___ 9___ 10_ 11_ 12

Chunks:
  FalseNegative nam [1,1] = Polak

(ChunkerEvaluator) Sentence #556 from 00101962 from sent7

Text  : Mimo nokautu nie chciał uciekać z ringu , zapowiadał udział w_ kolejnej rundzie ._
Tokens: 1___ 2______ 3__ 4_____ 5______ 6 7____ 8 9_________ 10____ 11 12______ 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #557 from 00101962 from sent8

Text  : Lekarze okazali się jednak bardziej sceptyczni niż Małopolski Meteoryt i_ wysłali go na chorobowe w_ trosce o_ ściany wzdłuż toru Indianapolis ._
Tokens: 1______ 2______ 3__ 4_____ 5_______ 6_________ 7__ 8_________ 9_______ 10 11_____ 12 13 14_______ 15 16____ 17 18____ 19____ 20__ 21__________ 22

Chunks:
  TruePositive nam [8,9] = Małopolski Meteoryt (confidence=1.00)
  TruePositive nam [21,21] = Indianapolis (confidence=1.00)

(ChunkerEvaluator) Sentence #558 from 00101962 from sent9

Text  : W F1 głównym sukcesem Odrzutowego Lajkonika jest na razie sam w_ niej udział ,_ mimo że nie jest to sport olimpijski ._
Tokens: 1 2_ 3______ 4_______ 5__________ 6________ 7___ 8_ 9____ 10_ 11 12__ 13____ 14 15__ 16 17_ 18__ 19 20___ 21________ 22

Chunks:
  TruePositive nam [2,2] = F1 (confidence=0.76)
  TruePositive nam [5,6] = Odrzutowego Lajkonika (confidence=0.97)

(ChunkerEvaluator) Sentence #559 from 00101962 from sent10

Text  : Drugi zawodnik BMW spisuje się od niego znacznie lepiej w_ kwalifikacjach i_ wyścigach ,_ ale kogo to obchodzi ._
Tokens: 1____ 2_______ 3__ 4______ 5__ 6_ 7____ 8_______ 9_____ 10 11____________ 12 13_______ 14 15_ 16__ 17 18______ 19

Chunks:
  TruePositive nam [3,3] = BMW (confidence=0.88)

(ChunkerEvaluator) Sentence #560 from 00101962 from sent11

Text  : Wszystkiemu winien ciężki bolid , wyposażony przecież od zeszłorocznego GP Węgier w_ dodatkowe ciężarki ._
Tokens: 1__________ 2_____ 3_____ 4____ 5 6_________ 7_______ 8_ 9_____________ 10 11____ 12 13_______ 14______ 15

Chunks:
  TruePositive nam [10,11] = GP Węgier (confidence=0.96)

(ChunkerEvaluator) Sentence #561 from 00101962 from sent12

Text  : Michael Schumacher pokazał wprawdzie , że arogancja popłaca , ale Rob -_ air -_ t_ jest na razie na prostej drodze ,_ żeby stać się raczej Davidem Coulthardem ._
Tokens: 1______ 2_________ 3______ 4________ 5 6_ 7________ 8______ 9 10_ 11_ 12 13_ 14 15 16__ 17 18___ 19 20_____ 21____ 22 23__ 24__ 25_ 26____ 27_____ 28_________ 29

Chunks:
  TruePositive nam [1,2] = Michael Schumacher (confidence=1.00)
  TruePositive nam [27,28] = Davidem Coulthardem (confidence=1.00)
  FalsePositive nam [11,13] = Rob - air (confidence=1.00) (incorrect boundry)
  FalseNegative nam [11,15] = Rob - air - t

2017-06-14 20:20:29,180 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 35 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101970.xml
(ChunkerEvaluator) Sentence #562 from 00101970 from sent1

Text  : Zaistniałe okoliczności nieodparcie prowokują do przeglądu dzieł innych noblistów ._
Tokens: 1_________ 2___________ 3__________ 4________ 5_ 6________ 7____ 8_____ 9________ 10

Chunks:

(ChunkerEvaluator) Sentence #563 from 00101970 from sent2

Text  : Nie chodzi bynajmniej o okoliczności polityczne , które już od dawna kojarzą się z_ tytułem "_ Hańba "_ ,_ lecz o_ okoliczności przyrody ,_ czyli śnieg -_ "_ Śnieg "_ ._
Tokens: 1__ 2_____ 3_________ 4 5___________ 6_________ 7 8____ 9__ 10 11___ 12_____ 13_ 14 15_____ 16 17___ 18 19 20__ 21 22__________ 23______ 24 25___ 26___ 27 28 29___ 30 31

Chunks:
  TruePositive nam [17,17] = Hańba (confidence=0.95)
  FalseNegative nam [29,29] = Śnieg

(ChunkerEvaluator) Sentence #564 from 00101970 from sent3

Text  : Nie ujawnię chyba wielkiej tajemnicy , jeśli powiem , że w_ powieści tej mamy do czynienia z_ tytułowym opadem atmosferycznym ._
Tokens: 1__ 2______ 3____ 4_______ 5________ 6 7____ 8_____ 9 10 11 12______ 13_ 14__ 15 16_______ 17 18_______ 19____ 20____________ 21

Chunks:

(ChunkerEvaluator) Sentence #565 from 00101970 from sent4

Text  : Niewinny ów opad stanowi tło dla wydarzeń tak mało niewinnych jak krwawa prowokacja ,_ przeobrażanie przeciętnych i_ pokój miłujących obywateli w_ tchórzliwych fanatyków oraz antyczne konflikty uniemożliwiające osiągnięcie miłosnego szczęścia ._
Tokens: 1_______ 2_ 3___ 4______ 5__ 6__ 7_______ 8__ 9___ 10________ 11_ 12____ 13________ 14 15___________ 16__________ 17 18___ 19________ 20_______ 21 22__________ 23_______ 24__ 25______ 26_______ 27______________ 28_________ 29_______ 30_______ 31

Chunks:

(ChunkerEvaluator) Sentence #566 from 00101970 from sent5

Text  : To , oczywiście , wszystko w uproszczeniu , bowiem pan Pamuk z_ pełną rezygnacji melancholią opisuje prostą w_ sumie historię w_ całym bogactwie składających się na nią motywów ,_ błędów ,_ zwycięstw i_ porażek ,_ co więcej ,_ udaje mu się utrzymać przy tym zainteresowanie osoby czytającej ._
Tokens: 1_ 2 3_________ 4 5_______ 6 7___________ 8 9_____ 10_ 11___ 12 13___ 14________ 15_________ 16_____ 17____ 18 19___ 20______ 21 22___ 23_______ 24__________ 25_ 26 27_ 28_____ 29 30____ 31 32_______ 33 34_____ 35 36 37____ 38 39___ 40 41_ 42______ 43__ 44_ 45_____________ 46___ 47________ 48

Chunks:
  TruePositive nam [11,11] = Pamuk (confidence=1.00)

(ChunkerEvaluator) Sentence #567 from 00101970 from sent6

Text  : W historii tej nikt nie jest górą , nic też nie jest do końca usprawiedliwione ,_ niewinność intencji to przykrywka ,_ jak śnieg ,_ który tymczasowo zasłania i_ uniemożliwia ,_ ale w_ końcu stopnieje i_ przestanie się liczyć ._
Tokens: 1 2_______ 3__ 4___ 5__ 6___ 7___ 8 9__ 10_ 11_ 12__ 13 14___ 15______________ 16 17________ 18______ 19 20________ 21 22_ 23___ 24 25___ 26________ 27______ 28 29__________ 30 31_ 32 33___ 34_______ 35 36________ 37_ 38____ 39

Chunks:

(ChunkerEvaluator) Sentence #568 from 00101970 from sent7

Text  : Bardzo fajna książka o ludziach , którzy wszyscy na raz chcą mieć rację co do tego ,_ jak inni powinni żyć ._
Tokens: 1_____ 2____ 3______ 4 5_______ 6 7_____ 8______ 9_ 10_ 11__ 12__ 13___ 14 15 16__ 17 18_ 19__ 20_____ 21_ 22

Chunks:

(ChunkerEvaluator) Sentence #569 from 00101970 from sent8

Text  : I o kilku , którzy wcale takiej racji mieć nie chcą ._
Tokens: 1 2 3____ 4 5_____ 6____ 7_____ 8____ 9___ 10_ 11__ 12

Chunks:

(ChunkerEvaluator) Sentence #570 from 00101970 from sent9

Text  : Genialna melancholia .
Tokens: 1_______ 2__________ 3

Chunks:

2017-06-14 20:20:29,238 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 36 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102053.xml
(ChunkerEvaluator) Sentence #571 from 00102053 from sent1

Text  : Silnik GXR 28 ma wspaniałe osiągi .
Tokens: 1_____ 2__ 3_ 4_ 5________ 6_____ 7

Chunks:
  TruePositive nam [2,3] = GXR 28 (confidence=0.56)

(ChunkerEvaluator) Sentence #572 from 00102053 from sent2

Text  : To tyle zalet .
Tokens: 1_ 2___ 3____ 4

Chunks:

(ChunkerEvaluator) Sentence #573 from 00102053 from sent3

Text  : Wad jest nieco więcej .
Tokens: 1__ 2___ 3____ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #574 from 00102053 from sent4

Text  : Po pierwsze mały radiator , który ma średnią wydajność ._
Tokens: 1_ 2_______ 3___ 4_______ 5 6____ 7_ 8______ 9________ 10

Chunks:

(ChunkerEvaluator) Sentence #575 from 00102053 from sent5

Text  : Trzeba naprawdę wyciąć sporo karoserii , aby silnik był dobrze chłodzony ._
Tokens: 1_____ 2_______ 3_____ 4____ 5________ 6 7__ 8_____ 9__ 10____ 11_______ 12

Chunks:

(ChunkerEvaluator) Sentence #576 from 00102053 from sent6

Text  : Następna wada to gaźnik , w którym zdarzają sie wadliwe o_ -_ ringi ._
Tokens: 1_______ 2___ 3_ 4_____ 5 6 7_____ 8_______ 9__ 10_____ 11 12 13___ 14

Chunks:

(ChunkerEvaluator) Sentence #577 from 00102053 from sent7

Text  : W moim przypadku z tego powodu silnik po wypaleniu zaledwie 1_ litra paliwa zaczął łapać „_ lewe ”_ powietrze ,_ które zubożyło mieszankę doprowadzając silnik do temperatury 300 °_ C_ ._
Tokens: 1 2___ 3________ 4 5___ 6_____ 7_____ 8_ 9________ 10______ 11 12___ 13____ 14____ 15___ 16 17__ 18 19_______ 20 21___ 22______ 23_______ 24___________ 25____ 26 27_________ 28_ 29 30 31

Chunks:

(ChunkerEvaluator) Sentence #578 from 00102053 from sent8

Text  : Po wymianie gaźnika problem zniknął .
Tokens: 1_ 2_______ 3______ 4______ 5______ 6

Chunks:

(ChunkerEvaluator) Sentence #579 from 00102053 from sent9

Text  : Wystarczająca jest też wymiana samego o - ringu ( uszczelki )_ ._
Tokens: 1____________ 2___ 3__ 4______ 5_____ 6 7 8____ 9 10_______ 11 12

Chunks:

(ChunkerEvaluator) Sentence #580 from 00102053 from sent10

Text  : Co ciekawe , po tym ekstremalnym doznaniu silnik nadal działał !_
Tokens: 1_ 2______ 3 4_ 5__ 6___________ 7_______ 8_____ 9____ 10_____ 11

Chunks:

(ChunkerEvaluator) Sentence #581 from 00102053 from sent11

Text  : Do czasu . . .
Tokens: 1_ 2____ 3 4 5

Chunks:

(ChunkerEvaluator) Sentence #582 from 00102053 from sent12

Text  : Następna wadą tego silnika jest to , że gaśnie bez powodu (_ tak przegrał em finał w_ Nowym Targu jadąc na 3_ pozycji )_ i_ nie chce odpalić do czasu ,_ kiedy nie ostygnie ._
Tokens: 1_______ 2___ 3___ 4______ 5___ 6_ 7 8_ 9_____ 10_ 11____ 12 13_ 14______ 15 16___ 17 18___ 19___ 20___ 21 22 23_____ 24 25 26_ 27__ 28_____ 29 30___ 31 32___ 33_ 34______ 35

Chunks:
  TruePositive nam [18,19] = Nowym Targu (confidence=1.00)

(ChunkerEvaluator) Sentence #583 from 00102053 from sent13

Text  : Jeżeli będziemy go próbowali odpalić przed ostygnięciem , to tłok się pokruszy przy okazji rozwalając korbowód ._
Tokens: 1_____ 2_______ 3_ 4________ 5______ 6____ 7___________ 8 9_ 10__ 11_ 12______ 13__ 14____ 15________ 16______ 17

Chunks:

(ChunkerEvaluator) Sentence #584 from 00102053 from sent14

Text  : W ten prosty sposób zajechał em dwa takie silniki ,_ na które nie ma gwarancji !_
Tokens: 1 2__ 3_____ 4_____ 5_______ 6_ 7__ 8____ 9______ 10 11 12___ 13_ 14 15_______ 16

Chunks:

(ChunkerEvaluator) Sentence #585 from 00102053 from sent15

Text  : Wszystkie zębatki są dobrze wykonane .
Tokens: 1________ 2______ 3_ 4_____ 5_______ 6

Chunks:

(ChunkerEvaluator) Sentence #586 from 00102053 from sent16

Text  : W dyferencjałach zastosowano zębatki o ukośnych zębach , co jest lepszym rozwiązaniem ,_ niż w_ większości modeli ._
Tokens: 1 2_____________ 3__________ 4______ 5 6_______ 7_____ 8 9_ 10__ 11_____ 12__________ 13 14_ 15 16________ 17____ 18

Chunks:

(ChunkerEvaluator) Sentence #587 from 00102053 from sent17

Text  : Bak ma pojemność 120 ml .
Tokens: 1__ 2_ 3________ 4__ 5_ 6

Chunks:

(ChunkerEvaluator) Sentence #588 from 00102053 from sent18

Text  : Jest to niewiele , biorąc pod uwagę że maksymalna pojemność baku w_ modelach klasy truggy wynosi 150 ml ._
Tokens: 1___ 2_ 3_______ 4 5_____ 6__ 7____ 8_ 9_________ 10_______ 11__ 12 13______ 14___ 15____ 16____ 17_ 18 19

Chunks:

(ChunkerEvaluator) Sentence #589 from 00102053 from sent19

Text  : Zawieszenie
Tokens: 1__________

Chunks:

(ChunkerEvaluator) Sentence #590 from 00102053 from sent20

Text  : Model nie ma w standardzie stabilizatorów .
Tokens: 1____ 2__ 3_ 4 5__________ 6_____________ 7

Chunks:

(ChunkerEvaluator) Sentence #591 from 00102053 from sent21

Text  : Posiada olbrzymią możliwość ustawień amortyzatorów : przód - 20 ustawień na jeden amortyzator ,_ tył -_ 30 ustawień na jeden amortyzator ._
Tokens: 1______ 2________ 3________ 4_______ 5____________ 6 7____ 8 9_ 10______ 11 12___ 13_________ 14 15_ 16 17 18______ 19 20___ 21_________ 22

Chunks:

(ChunkerEvaluator) Sentence #592 from 00102053 from sent22

Text  : Zawieszenie ma lekkie luzy , ale to normalne .
Tokens: 1__________ 2_ 3_____ 4___ 5 6__ 7_ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #593 from 00102053 from sent23

Text  : Karoseria i koła
Tokens: 1________ 2 3___

Chunks:

(ChunkerEvaluator) Sentence #594 from 00102053 from sent24

Text  : Buda jest wykonana z dobrego , wytrzymałego leksanu .
Tokens: 1___ 2___ 3_______ 4 5______ 6 7___________ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #595 from 00102053 from sent25

Text  : Jedyną wadą jest mocowany do karoserii niewielki spoiler , który jest bardzo łamliwy ._
Tokens: 1_____ 2___ 3___ 4_______ 5_ 6________ 7________ 8______ 9 10___ 11__ 12____ 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #596 from 00102053 from sent26

Text  : Opony są naprawdę dobre i godne polecenia .
Tokens: 1____ 2_ 3_______ 4____ 5 6____ 7________ 8

Chunks:

(ChunkerEvaluator) Sentence #597 from 00102053 from sent27

Text  : Fabrycznie wykonano w nich dziurki , które zapewniają szybkie schnięcie opon i_ wkładek ._
Tokens: 1_________ 2_______ 3 4___ 5______ 6 7____ 8_________ 9______ 10_______ 11__ 12 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #598 from 00102053 from sent28

Text  : Elektronika i dodatki
Tokens: 1__________ 2 3______

Chunks:

(ChunkerEvaluator) Sentence #599 from 00102053 from sent29

Text  : W zestawie jest aparatura 27 AM i dwa serwa o_ uciągu 7_ kg cm ._
Tokens: 1 2_______ 3___ 4________ 5_ 6_ 7 8__ 9____ 10 11____ 12 13 14 15

Chunks:

(ChunkerEvaluator) Sentence #600 from 00102053 from sent30

Text  : Osobiście aparatura nie przypadła mi do gustu .
Tokens: 1________ 2________ 3__ 4________ 5_ 6_ 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #601 from 00102053 from sent31

Text  : Jedyną jej zaletą jest wytrzymała antena .
Tokens: 1_____ 2__ 3_____ 4___ 5_________ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #602 from 00102053 from sent32

Text  : Serwa dają sobie radę , jednak serwo na skręcie warto wymienić na mocniejsze ._
Tokens: 1____ 2___ 3____ 4___ 5 6_____ 7____ 8_ 9______ 10___ 11______ 12 13________ 14

Chunks:

(ChunkerEvaluator) Sentence #603 from 00102053 from sent33

Text  : Wraz z modelem otrzymujemy grzałkę do świec na dwie baterie R6 oraz butelkę do tankowania ._
Tokens: 1___ 2 3______ 4__________ 5______ 6_ 7____ 8_ 9___ 10_____ 11 12__ 13_____ 14 15________ 16

Chunks:
  FalsePositive nam [11,11] = R6 (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #604 from 00102053 from sent34

Text  : Wrażenia z jazdy
Tokens: 1_______ 2 3____

Chunks:

(ChunkerEvaluator) Sentence #605 from 00102053 from sent35

Text  : Model dostarcza sporych wrażeń .
Tokens: 1____ 2________ 3______ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #606 from 00102053 from sent36

Text  : Jest szybki , klei się podłoża i jest bardzo stabilny ._
Tokens: 1___ 2_____ 3 4___ 5__ 6______ 7 8___ 9_____ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #607 from 00102053 from sent37

Text  : Model nie posiada plastikowych płyt bocznych , przez co ma małą siłę nośną i_ lubi płatać figle ,_ zwłaszcza w_ locie ._
Tokens: 1____ 2__ 3______ 4___________ 5___ 6_______ 7 8____ 9_ 10 11__ 12__ 13___ 14 15__ 16____ 17___ 18 19_______ 20 21___ 22

Chunks:

(ChunkerEvaluator) Sentence #608 from 00102053 from sent38

Text  : Za to zawieszenie pracuje znakomicie !
Tokens: 1_ 2_ 3__________ 4______ 5_________ 6

Chunks:

(ChunkerEvaluator) Sentence #609 from 00102053 from sent39

Text  : Pomimo wspomnianych przez Adama wad , Inferno ST po odpowiednim przygotowaniu jest w_ stanie konkurować z_ autami takimi jak Jammin'X1 CRT czy HPI Hellfire ._
Tokens: 1_____ 2___________ 3____ 4____ 5__ 6 7______ 8_ 9_ 10_________ 11___________ 12__ 13 14____ 15________ 16 17____ 18____ 19_ 20_______ 21_ 22_ 23_ 24______ 25

Chunks:
  TruePositive nam [4,4] = Adama (confidence=1.00)
  TruePositive nam [20,21] = Jammin'X1 CRT (confidence=1.00)
  TruePositive nam [23,24] = HPI Hellfire (confidence=1.00)
  FalsePositive nam [7,7] = Inferno (confidence=0.99) (incorrect boundry)
  FalseNegative nam [7,8] = Inferno ST

(ChunkerEvaluator) Sentence #610 from 00102053 from sent40

Text  : Świadczy o tym chociażby fakt , że w 2006 roku Krzysztof Dzioboń zdobył takim modelem wicemistrzostwo Polski w_ klasie IC -_ 8_ MT Open ._
Tokens: 1_______ 2 3__ 4________ 5___ 6 7_ 8 9___ 10__ 11_______ 12_____ 13____ 14___ 15_____ 16_____________ 17____ 18 19____ 20 21 22 23 24__ 25

Chunks:
  TruePositive nam [11,12] = Krzysztof Dzioboń (confidence=1.00)
  TruePositive nam [17,17] = Polski (confidence=1.00)
  FalsePositive nam [23,24] = MT Open (confidence=0.52) (incorrect boundry)

(ChunkerEvaluator) Sentence #611 from 00102053 from sent41

Text  : Przygotowując model do sezonu 2007 , Adam zdecydował sie na kilka modyfikacji ._
Tokens: 1____________ 2____ 3_ 4_____ 5___ 6 7___ 8_________ 9__ 10 11___ 12_________ 13

Chunks:
  TruePositive nam [7,7] = Adam (confidence=1.00)

(ChunkerEvaluator) Sentence #612 from 00102053 from sent42

Text  : Przede wszystkim wymienił silnik wraz z jego mocowaniem .
Tokens: 1_____ 2________ 3_______ 4_____ 5___ 6 7___ 8_________ 9

Chunks:

(ChunkerEvaluator) Sentence #613 from 00102053 from sent43

Text  : Ponadto dla poprawienia zachowania modelu w locie dodał spoiler oraz płyty boczne od modelu buggy ._
Tokens: 1______ 2__ 3__________ 4_________ 5_____ 6 7____ 8____ 9______ 10__ 11___ 12____ 13 14____ 15___ 16

Chunks:

2017-06-14 20:20:29,370 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 37 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102057.xml
(ChunkerEvaluator) Sentence #614 from 00102057 from sent1

Text  : Qmam the best - internauci wybrali laureatów !
Tokens: 1___ 2__ 3___ 4 5_________ 6______ 7________ 8

Chunks:
  FalseNegative nam [5,5] = internauci

(ChunkerEvaluator) Sentence #615 from 00102057 from sent2

Text  : Zakończyło się głosowanie w plebiscycie na najlepszego qmama z okazji drugich urodzin serwisu MAM ._
Tokens: 1_________ 2__ 3_________ 4 5__________ 6_ 7__________ 8____ 9 10____ 11_____ 12_____ 13_____ 14_ 15

Chunks:
  TruePositive nam [14,14] = MAM (confidence=0.70)

(ChunkerEvaluator) Sentence #616 from 00102057 from sent3

Text  : W ciągu dwóch tygodni trwania zabawy oddano 12474 głosy ._
Tokens: 1 2____ 3____ 4______ 5______ 6_____ 7_____ 8____ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #617 from 00102057 from sent4

Text  : Wczoraj o północy wszystko stało się jasne .
Tokens: 1______ 2 3______ 4_______ 5____ 6__ 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #618 from 00102057 from sent5

Text  : Publikujemy wyniki wyboru , jakiego dokonali internauci .
Tokens: 1__________ 2_____ 3_____ 4 5______ 6_______ 7_________ 8

Chunks:
  FalsePositive nam [7,7] = internauci (confidence=0.59) (incorrect boundry)

(ChunkerEvaluator) Sentence #619 from 00102057 from sent6

Text  : Nominowane wydania qmamów otrzymały następującą liczbę głosów : Bez Tytułu Reaktywacja :_ 3963 Kopernik News :_ 1905 Platernówka :_ 742 Freedom Writers :_ 428 Piąte przez dziesiąte :_ 20 Harcerski Eskulap :_ 18 Rezonans :_ 14 Pryzmat :_ 12 Świeże spojrzenie :_ 12
Tokens: 1_________ 2______ 3_____ 4________ 5__________ 6_____ 7_____ 8 9__ 10____ 11_________ 12 13__ 14______ 15__ 16 17__ 18_________ 19 20_ 21_____ 22_____ 23 24_ 25___ 26___ 27_______ 28 29 30_______ 31_____ 32 33 34______ 35 36 37_____ 38 39 40____ 41________ 42 43

Chunks:
  TruePositive nam [9,11] = Bez Tytułu Reaktywacja (confidence=1.00)
  TruePositive nam [14,15] = Kopernik News (confidence=0.55)
  TruePositive nam [21,22] = Freedom Writers (confidence=0.61)
  TruePositive nam [30,31] = Harcerski Eskulap (confidence=0.89)
  FalsePositive nam [25,25] = Piąte (confidence=0.48) (incorrect boundry)
  FalseNegative nam [18,18] = Platernówka
  FalseNegative nam [25,27] = Piąte przez dziesiąte
  FalseNegative nam [34,34] = Rezonans
  FalseNegative nam [37,37] = Pryzmat
  FalseNegative nam [40,41] = Świeże spojrzenie

(ChunkerEvaluator) Sentence #620 from 00102057 from sent7

Text  : Komisja Konkursowa podjęła decyzję o przyznaniu nagród również laureatom drugiego i_ trzeciego miejsca ._
Tokens: 1______ 2_________ 3______ 4______ 5 6_________ 7_____ 8______ 9________ 10______ 11 12_______ 13_____ 14

Chunks:
  FalsePositive nam [1,2] = Komisja Konkursowa (confidence=0.67) (incorrect boundry)

(ChunkerEvaluator) Sentence #621 from 00102057 from sent8

Text  : Zwycięskim redakcjom gratulujemy !
Tokens: 1_________ 2________ 3__________ 4

Chunks:

(ChunkerEvaluator) Sentence #622 from 00102057 from sent9

Text  : Ze zwycięzcami skontaktujemy się mailowo w celu ustalenia szczegółów przekazania nagród ._
Tokens: 1_ 2__________ 3____________ 4__ 5______ 6 7___ 8________ 9_________ 10_________ 11____ 12

Chunks:

2017-06-14 20:20:29,404 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 38 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102069.xml
(ChunkerEvaluator) Sentence #623 from 00102069 from sent1

Text  : Jak donosi “ NY Times ” , ponad 1 ,_ 5_ tys ._ użytkowników Facebooka umieszcza w_ swoich profilach reklamy ._
Tokens: 1__ 2_____ 3 4_ 5____ 6 7 8____ 9 10 11 12_ 13 14__________ 15_______ 16_______ 17 18____ 19_______ 20_____ 21

Chunks:
  TruePositive nam [4,5] = NY Times (confidence=1.00)
  TruePositive nam [15,15] = Facebooka (confidence=0.99)

(ChunkerEvaluator) Sentence #624 from 00102069 from sent2

Text  : Płaci im za to kanadyjska firma Weblo .
Tokens: 1____ 2_ 3_ 4_ 5_________ 6____ 7____ 8

Chunks:
  TruePositive nam [7,7] = Weblo (confidence=0.98)

(ChunkerEvaluator) Sentence #625 from 00102069 from sent3

Text  : Facebook oficjalnie zabrania umieszczania reklam użytkownikom , jednak coraz więcej osób uważa ,_ że do umieszczania reklam internauci mają moralne prawo -_ w_ końcu to oni tworzą ten serwis i_ im zawdzięcza on swoją rekordową wycenę ._
Tokens: 1_______ 2_________ 3_______ 4___________ 5_____ 6___________ 7 8_____ 9____ 10____ 11__ 12___ 13 14 15 16__________ 17____ 18________ 19__ 20_____ 21___ 22 23 24___ 25 26_ 27____ 28_ 29____ 30 31 32________ 33 34___ 35_______ 36____ 37

Chunks:
  TruePositive nam [18,18] = internauci (confidence=0.77)
  FalseNegative nam [1,1] = Facebook

(ChunkerEvaluator) Sentence #626 from 00102069 from sent4

Text  : Dlatego kibicuję tej akcji : nie ma sensu udawać ,_ że w_ Web 2_ ._ 0_ nie chodzi także o_ pieniądze ._
Tokens: 1______ 2_______ 3__ 4____ 5 6__ 7_ 8____ 9_____ 10 11 12 13_ 14 15 16 17_ 18____ 19___ 20 21_______ 22

Chunks:
  TruePositive nam [13,16] = Web 2 . 0 (confidence=1.00)

(ChunkerEvaluator) Sentence #627 from 00102069 from sent5

Text  : Niech więc amatorzy , którzy zostali dopuszczeni do głosu w_ internecie ,_ też dostaną swoją “_ działkę ”_ ._
Tokens: 1____ 2___ 3_______ 4 5_____ 6______ 7__________ 8_ 9____ 10 11________ 12 13_ 14_____ 15___ 16 17_____ 18 19

Chunks:
  TruePositive nam [11,11] = internecie (confidence=0.98)

(ChunkerEvaluator) Sentence #628 from 00102069 from sent6

Text  : Inna sprawa , że będzie to kolejny przejaw zacierania się granic między pracą a_ rozrywką i_ pracą amatorską a_ profesjonalną -_ przypomnę ,_ że niedawno Andrew Keen próbował na spotkaniach w_ Warszawie zdefiniować profesjonalistę jako kogoś ,_ kto dostaje za swoją pracę wynagrodzenie ._
Tokens: 1___ 2_____ 3 4_ 5_____ 6_ 7______ 8______ 9_________ 10_ 11____ 12____ 13___ 14 15______ 16 17___ 18_______ 19 20___________ 21 22_______ 23 24 25______ 26____ 27__ 28______ 29 30_________ 31 32_______ 33_________ 34_____________ 35__ 36___ 37 38_ 39_____ 40 41___ 42___ 43___________ 44

Chunks:
  TruePositive nam [26,27] = Andrew Keen (confidence=1.00)
  TruePositive nam [32,32] = Warszawie (confidence=1.00)

(ChunkerEvaluator) Sentence #629 from 00102069 from sent7

Text  : Trzymając się więc tej niezbyt udanej definicji można uznać ,_ że mamy już 1500 profesjonalnych użytkowników Facebooka ._
Tokens: 1________ 2__ 3___ 4__ 5______ 6_____ 7________ 8____ 9____ 10 11 12__ 13_ 14__ 15_____________ 16__________ 17_______ 18

Chunks:
  TruePositive nam [17,17] = Facebooka (confidence=1.00)

(ChunkerEvaluator) Sentence #630 from 00102069 from sent8

Text  : A po artykule w “ NYT ” ta liczba zapewne wzrośnie ._
Tokens: 1 2_ 3_______ 4 5 6__ 7 8_ 9_____ 10_____ 11______ 12

Chunks:
  TruePositive nam [6,6] = NYT (confidence=0.99)

(ChunkerEvaluator) Sentence #631 from 00102069 from sent9

Text  : A przy okazji - wciąż zalegamy z relacją z Łodzi ,_ gdzie było naprawdę świetnie ._
Tokens: 1 2___ 3_____ 4 5____ 6_______ 7 8______ 9 10___ 11 12___ 13__ 14______ 15______ 16

Chunks:
  TruePositive nam [10,10] = Łodzi (confidence=1.00)

(ChunkerEvaluator) Sentence #632 from 00102069 from sent10

Text  : Po prostu czekamy , aż w sieci pojawi się nagranie całej sesji ._
Tokens: 1_ 2_____ 3______ 4 5_ 6 7____ 8_____ 9__ 10______ 11___ 12___ 13

Chunks:

(ChunkerEvaluator) Sentence #633 from 00102069 from sent11

Text  : Podobnie powinno być z dwoma spotkaniami z Andrew Keenem ,_ które w_ całości zostały zarejestrowane ._
Tokens: 1_______ 2______ 3__ 4 5____ 6__________ 7 8_____ 9_____ 10 11___ 12 13_____ 14_____ 15____________ 16

Chunks:
  TruePositive nam [8,9] = Andrew Keenem (confidence=1.00)

(ChunkerEvaluator) Sentence #634 from 00102069 from sent12

Text  : Gdy trafią do sieci , damy znać .
Tokens: 1__ 2_____ 3_ 4____ 5 6___ 7___ 8

Chunks:

2017-06-14 20:20:29,464 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 39 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102095.xml
(ChunkerEvaluator) Sentence #635 from 00102095 from sent1

Text  : Pronar OSiR Hajnówka - Bzura Ozorków 2 : 3 W_ setach :_ (_ 20 :_ 25 )_ ,_ (_ 25 :_ 16 )_ ,_ (_ 23 :_ 25 )_ ,_ (_ 25 :_ 13 )_ ,_ (_ 13 :_ 15 )_
Tokens: 1_____ 2___ 3_______ 4 5____ 6______ 7 8 9 10 11____ 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41

Chunks:
  TruePositive nam [1,3] = Pronar OSiR Hajnówka (confidence=0.87)
  TruePositive nam [5,6] = Bzura Ozorków (confidence=0.78)

(ChunkerEvaluator) Sentence #636 from 00102095 from sent2

Text  : Po serii zwycięstw , hajnowski Pronar OSiR tym razem dość niespodziewanie przegrał u_ siebie z_ Bzurą Ozorków ._
Tokens: 1_ 2____ 3________ 4 5________ 6_____ 7___ 8__ 9____ 10__ 11_____________ 12______ 13 14____ 15 16___ 17_____ 18

Chunks:
  TruePositive nam [6,7] = Pronar OSiR (confidence=0.87)
  TruePositive nam [16,17] = Bzurą Ozorków (confidence=1.00)

(ChunkerEvaluator) Sentence #637 from 00102095 from sent3

Text  : Prasowe prognozy walki o pierwszą czwórkę , trzeba odłożyć na później ._
Tokens: 1______ 2_______ 3____ 4 5_______ 6______ 7 8_____ 9______ 10 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #638 from 00102095 from sent4

Text  : Teraz trzeba myśleć o utrzymaniu się w ósemce , co zapewniło by spokojny byt w_ I_ lidze ._
Tokens: 1____ 2_____ 3_____ 4 5_________ 6__ 7 8_____ 9 10 11_______ 12 13______ 14_ 15 16 17___ 18

Chunks:

(ChunkerEvaluator) Sentence #639 from 00102095 from sent5

Text  : MKS Bzura Ozorków - KPS Skra II Bełchatów 0 :_ 3_ W_ setach :_ (_ 17 :_ 25 )_ ,_ (_ 20 :_ 25 )_ ,_ (_ 22 :_ 25 )_
Tokens: 1__ 2____ 3______ 4 5__ 6___ 7_ 8________ 9 10 11 12 13____ 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31

Chunks:
  TruePositive nam [1,3] = MKS Bzura Ozorków (confidence=0.99)
  TruePositive nam [5,8] = KPS Skra II Bełchatów (confidence=1.00)

(ChunkerEvaluator) Sentence #640 from 00102095 from sent6

Text  : W wyraźnym dołku znajduje się obecnie Bzura Ozorków , która przegrała drugi mecz z_ rzędu ,_ tym razem u_ siebie ze Skrą II Bełchatów ._
Tokens: 1 2_______ 3____ 4_______ 5__ 6______ 7____ 8______ 9 10___ 11_______ 12___ 13__ 14 15___ 16 17_ 18___ 19 20____ 21 22__ 23 24_______ 25

Chunks:
  TruePositive nam [7,8] = Bzura Ozorków (confidence=1.00)
  FalsePositive nam [22,22] = Skrą (confidence=0.84) (incorrect boundry)
  FalsePositive nam [23,24] = II Bełchatów (confidence=0.57) (incorrect boundry)
  FalseNegative nam [22,24] = Skrą II Bełchatów

2017-06-14 20:20:29,498 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 40 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102097.xml
(ChunkerEvaluator) Sentence #641 from 00102097 from sent1

Text  : Miejska Biblioteka Publiczna w Ozorkowie organizuje w dn . 19 lutego 2009 r_ ._ (_ czwartek )_ wycieczkę do Teatru Powszechnego w_ Łodzi na komedię "_ Wieczór kawalerski "_ ._
Tokens: 1______ 2_________ 3________ 4 5________ 6_________ 7 8_ 9 10 11____ 12__ 13 14 15 16______ 17 18_______ 19 20____ 21__________ 22 23___ 24 25_____ 26 27_____ 28________ 29 30

Chunks:
  TruePositive nam [1,3] = Miejska Biblioteka Publiczna (confidence=1.00)
  TruePositive nam [5,5] = Ozorkowie (confidence=0.99)
  TruePositive nam [20,21] = Teatru Powszechnego (confidence=1.00)
  TruePositive nam [23,23] = Łodzi (confidence=1.00)
  TruePositive nam [27,28] = Wieczór kawalerski (confidence=1.00)

(ChunkerEvaluator) Sentence #642 from 00102097 from sent2

Text  : Koszt : osoba dorosła - 55 zł studenci , emeryci i_ renciści -_ 43 zł ._
Tokens: 1____ 2 3____ 4______ 5 6_ 7_ 8_______ 9 10_____ 11 12______ 13 14 15 16

Chunks:
  TruePositive nam [15,15] = zł (confidence=0.98)
  FalseNegative nam [7,7] = zł

(ChunkerEvaluator) Sentence #643 from 00102097 from sent3

Text  : Zapisy przyjmujemy w MBP w Ozorkowie ul . Listopadowa 6b w_ godzinach otwarcia biblioteki ._
Tokens: 1_____ 2__________ 3 4__ 5 6________ 7_ 8 9__________ 10 11 12_______ 13______ 14________ 15

Chunks:
  TruePositive nam [4,4] = MBP (confidence=1.00)
  TruePositive nam [6,6] = Ozorkowie (confidence=1.00)
  TruePositive nam [9,9] = Listopadowa (confidence=1.00)

(ChunkerEvaluator) Sentence #644 from 00102097 from sent4

Text  : Liczba miejsc ograniczona .
Tokens: 1_____ 2_____ 3__________ 4

Chunks:

(ChunkerEvaluator) Sentence #645 from 00102097 from sent5

Text  : Wyjazd w dn . 19 . 02 . 2009 r_ ._ (_ czwartek )_ o_ godz ._ 17 ._ 30
Tokens: 1_____ 2 3_ 4 5_ 6 7_ 8 9___ 10 11 12 13______ 14 15 16__ 17 18 19 20

Chunks:

(ChunkerEvaluator) Sentence #646 from 00102097 from sent6

Text  : Biblioteka na osiedlu ul . Mielczarskiego 17 .
Tokens: 1_________ 2_ 3______ 4_ 5 6_____________ 7_ 8

Chunks:
  TruePositive nam [6,6] = Mielczarskiego (confidence=1.00)
  FalseNegative nam [1,1] = Biblioteka

(ChunkerEvaluator) Sentence #647 from 00102097 from sent7

Text  : Zapraszamy !
Tokens: 1_________ 2

Chunks:

2017-06-14 20:20:29,524 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 41 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102124.xml
(ChunkerEvaluator) Sentence #648 from 00102124 from sent1

Text  : Dzień Niepodległości Stanów Zjednoczonych uczcili śmy całodzienną zabawą modelami ._
Tokens: 1____ 2_____________ 3_____ 4____________ 5______ 6__ 7__________ 8_____ 9_______ 10

Chunks:
  FalsePositive nam [1,2] = Dzień Niepodległości (confidence=0.74) (incorrect boundry)
  FalsePositive nam [3,4] = Stanów Zjednoczonych (confidence=0.75) (incorrect boundry)
  FalseNegative nam [1,4] = Dzień Niepodległości Stanów Zjednoczonych

(ChunkerEvaluator) Sentence #649 from 00102124 from sent2

Text  : Większa część spotkania upłynęła na zmaganiach Huberta i Jarka ,_ jeżdzących dwoma Jamminami CRT ._ 5_ ._
Tokens: 1______ 2____ 3________ 4_______ 5_ 6_________ 7______ 8 9____ 10 11________ 12___ 13_______ 14_ 15 16 17

Chunks:
  TruePositive nam [7,7] = Huberta (confidence=1.00)
  TruePositive nam [9,9] = Jarka (confidence=1.00)
  TruePositive nam [13,16] = Jamminami CRT . 5 (confidence=1.00)

(ChunkerEvaluator) Sentence #650 from 00102124 from sent3

Text  : Dorota jeździła Ofną Hyper 7 , która po przeprowadzonej niedawno operacji uszczelniania silnika sprawowała się doskonale ._
Tokens: 1_____ 2_______ 3___ 4____ 5 6 7____ 8_ 9______________ 10______ 11______ 12___________ 13_____ 14________ 15_ 16_______ 17

Chunks:
  TruePositive nam [1,1] = Dorota (confidence=0.53)
  FalsePositive nam [3,3] = Ofną (confidence=0.98) (incorrect boundry)
  FalsePositive nam [4,5] = Hyper 7 (confidence=0.82) (incorrect boundry)
  FalseNegative nam [3,5] = Ofną Hyper 7

(ChunkerEvaluator) Sentence #651 from 00102124 from sent4

Text  : Poza tym Hubert i Jarek przez krótki czas scigali się elektrykami ._
Tokens: 1___ 2__ 3_____ 4 5____ 6____ 7_____ 8___ 9______ 10_ 11_________ 12

Chunks:
  TruePositive nam [3,3] = Hubert (confidence=1.00)
  TruePositive nam [5,5] = Jarek (confidence=1.00)

(ChunkerEvaluator) Sentence #652 from 00102124 from sent5

Text  : Zabawę tę zakończyło dość szybko zderzenie czołowe kierowanego przez Huberta Rustlera z_ delikatnym Losi XXX Jarka ,_ w_ wyniku którego prawe przednie koło bagusa Losi wraz z_ ułamaną zwrotnicą poszybowało widowiskowo w_ powietrze ._
Tokens: 1_____ 2_ 3_________ 4___ 5_____ 6________ 7______ 8__________ 9____ 10_____ 11______ 12 13________ 14__ 15_ 16___ 17 18 19____ 20_____ 21___ 22______ 23__ 24____ 25__ 26__ 27 28_____ 29_______ 30_________ 31_________ 32 33_______ 34

Chunks:
  TruePositive nam [25,25] = Losi (confidence=0.98)
  FalsePositive nam [10,11] = Huberta Rustlera (confidence=1.00) (incorrect boundry)
  FalsePositive nam [14,14] = Losi (confidence=0.96) (incorrect boundry)
  FalsePositive nam [15,16] = XXX Jarka (confidence=1.00) (incorrect boundry)
  FalseNegative nam [10,10] = Huberta
  FalseNegative nam [11,11] = Rustlera
  FalseNegative nam [14,15] = Losi XXX
  FalseNegative nam [16,16] = Jarka

(ChunkerEvaluator) Sentence #653 from 00102124 from sent6

Text  : Dalszą jazdę Rustler kontynuował samotnie , do czasu aż zasilający go pakiet Li -_ poly firmy MaxAmps spuchł w_ stopniu nie pozostawiającym złudzeń co do jego dalszej użyteczności ._
Tokens: 1_____ 2____ 3______ 4__________ 5_______ 6 7_ 8____ 9_ 10________ 11 12____ 13 14 15__ 16___ 17_____ 18____ 19 20_____ 21_ 22_____________ 23_____ 24 25 26__ 27_____ 28__________ 29

Chunks:
  TruePositive nam [3,3] = Rustler (confidence=1.00)
  TruePositive nam [17,17] = MaxAmps (confidence=1.00)
  FalsePositive nam [13,13] = Li (confidence=1.00) (incorrect boundry)
  FalseNegative nam [13,15] = Li - poly

(ChunkerEvaluator) Sentence #654 from 00102124 from sent7

Text  : W tej sytuacji na tor powróciły Jamminy i do późnego popołudnia po okolicznych polach niósł się zapach palonego nitro ._
Tokens: 1 2__ 3_______ 4_ 5__ 6________ 7______ 8 9_ 10_____ 11________ 12 13_________ 14____ 15___ 16_ 17____ 18______ 19___ 20

Chunks:
  TruePositive nam [7,7] = Jamminy (confidence=0.99)

2017-06-14 20:20:29,561 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 42 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102134.xml
(ChunkerEvaluator) Sentence #655 from 00102134 from sent1

Text  : Założenie było proste .
Tokens: 1________ 2___ 3_____ 4

Chunks:

(ChunkerEvaluator) Sentence #656 from 00102134 from sent2

Text  : Wyczyszczenie rąk przywróci moralne Ja do równowagi , a tym samym sprawi ,_ że badani nie będą zbyt skorzy do pomocy ._
Tokens: 1____________ 2__ 3________ 4______ 5_ 6_ 7________ 8 9 10_ 11___ 12____ 13 14 15____ 16_ 17__ 18__ 19____ 20 21____ 22

Chunks:
  FalsePositive nam [5,5] = Ja (confidence=0.55) (incorrect boundry)

(ChunkerEvaluator) Sentence #657 from 00102134 from sent3

Text  : Czy chusteczki pomogły oczyścić badanych ?
Tokens: 1__ 2_________ 3______ 4_______ 5_______ 6

Chunks:

(ChunkerEvaluator) Sentence #658 from 00102134 from sent4

Text  : Okazują się , że tak . 74 % osób ,_ które nie używały chusteczek zgodziło się pomóc ,_ gdy w_ grupie czystych rąk tylko 41 %_ zaoferowało pomoc !_
Tokens: 1______ 2__ 3 4_ 5__ 6 7_ 8 9___ 10 11___ 12_ 13_____ 14________ 15______ 16_ 17___ 18 19_ 20 21____ 22______ 23_ 24___ 25 26 27_________ 28___ 29

Chunks:

(ChunkerEvaluator) Sentence #659 from 00102134 from sent5

Text  : Mało tego , analiza stanów emocjonalnych wykazała , że osoby ,_ które mogły wyczyścić race odczuwały mniejsze natężenie emocji związanych z_ moralnością w_ porównaniu do osób ,_ których ręce pozostały w_ niezmienionym stanie ._
Tokens: 1___ 2___ 3 4______ 5_____ 6____________ 7_______ 8 9_ 10___ 11 12___ 13___ 14_______ 15__ 16_______ 17______ 18_______ 19____ 20________ 21 22_________ 23 24________ 25 26__ 27 28_____ 29__ 30_______ 31 32___________ 33____ 34

Chunks:

(ChunkerEvaluator) Sentence #660 from 00102134 from sent6

Text  : związek ten dotyczył tylko emocji moralnych .
Tokens: 1______ 2__ 3_______ 4____ 5_____ 6________ 7

Chunks:

(ChunkerEvaluator) Sentence #661 from 00102134 from sent7

Text  : W przypadku emocji niemoralnych nie wykryto istotnych różnic .
Tokens: 1 2________ 3_____ 4___________ 5__ 6______ 7________ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #662 from 00102134 from sent8

Text  : Cztery eksperymenty ukazały mechanizm , którego istnienia Wilim Szekspir jako świetny obserwator ludzkiego zachowania ,_ domyślał się prawdopodobnie już ponad 400 lat temu ._
Tokens: 1_____ 2___________ 3______ 4________ 5 6______ 7________ 8____ 9_______ 10__ 11_____ 12________ 13_______ 14________ 15 16______ 17_ 18____________ 19_ 20___ 21_ 22_ 23__ 24

Chunks:
  TruePositive nam [8,9] = Wilim Szekspir (confidence=1.00)

(ChunkerEvaluator) Sentence #663 from 00102134 from sent9

Text  : Lady Makbet próbowała usunąć niewidoczne plamy krwi z własnego sumienia obsesyjnie myjąc ręce ._
Tokens: 1___ 2_____ 3________ 4_____ 5__________ 6____ 7___ 8 9_______ 10______ 11________ 12___ 13__ 14

Chunks:
  TruePositive nam [1,2] = Lady Makbet (confidence=1.00)

(ChunkerEvaluator) Sentence #664 from 00102134 from sent10

Text  : Właśnie dlatego psychologiczny związek między czystością ciała i czystością moralną autorzy nazwali „_ Efektem Makbeta ”_ ._
Tokens: 1______ 2______ 3_____________ 4______ 5_____ 6_________ 7____ 8 9_________ 10_____ 11_____ 12_____ 13 14_____ 15_____ 16 17

Chunks:
  FalsePositive nam [14,15] = Efektem Makbeta (confidence=1.00) (incorrect boundry)
  FalseNegative nam [15,15] = Makbeta

(ChunkerEvaluator) Sentence #665 from 00102134 from sent11

Text  : Oczywiście czyn którego dopuściła się Lady Makbet , należy do najcięższych i_ trudno wnioskować ,_ że umycie rąk może ukoić głos sumienia ,_ jednak w_ przypadku drobnych „_ grzeszków ”_ ,_ mechanizm ten może okazał się bardzo skuteczny ._
Tokens: 1_________ 2___ 3______ 4________ 5__ 6___ 7_____ 8 9_____ 10 11__________ 12 13____ 14________ 15 16 17____ 18_ 19__ 20___ 21__ 22______ 23 24____ 25 26_______ 27______ 28 29_______ 30 31 32_______ 33_ 34__ 35____ 36_ 37____ 38_______ 39

Chunks:
  TruePositive nam [6,7] = Lady Makbet (confidence=1.00)

(ChunkerEvaluator) Sentence #666 from 00102134 from sent12

Text  : Czy rygorystyczna higiena może wpływać na zachowania moralne , a_ może oczyszczając nasze ciało zyskujemy licencje na nieetyczne zachowania ?_
Tokens: 1__ 2____________ 3______ 4___ 5______ 6_ 7_________ 8______ 9 10 11__ 12__________ 13___ 14___ 15_______ 16______ 17 18________ 19________ 20

Chunks:

(ChunkerEvaluator) Sentence #667 from 00102134 from sent13

Text  : Oczywiście czyn którego dopuściła się Lady Makbet , należy do najcięższych i_ trudno wnioskować ,_ że umycie rąk może ukoić głos sumienia ,_ jednak w_ przypadku drobnych “_ grzeszków ”_ ,_ mechanizm ten może okazał się bardzo skuteczny ._
Tokens: 1_________ 2___ 3______ 4________ 5__ 6___ 7_____ 8 9_____ 10 11__________ 12 13____ 14________ 15 16 17____ 18_ 19__ 20___ 21__ 22______ 23 24____ 25 26_______ 27______ 28 29_______ 30 31 32_______ 33_ 34__ 35____ 36_ 37____ 38_______ 39

Chunks:
  TruePositive nam [6,7] = Lady Makbet (confidence=1.00)

(ChunkerEvaluator) Sentence #668 from 00102134 from sent14

Text  : Czy rygorystyczna higiena może wpływać na zachowania moralne , a_ może oczyszczając nasze ciało zyskujemy licencje na nieetyczne zachowania ?_
Tokens: 1__ 2____________ 3______ 4___ 5______ 6_ 7_________ 8______ 9 10 11__ 12__________ 13___ 14___ 15_______ 16______ 17 18________ 19________ 20

Chunks:

(ChunkerEvaluator) Sentence #669 from 00102134 from sent15

Text  : Pytania te zostają na razie bez odpowiedzi , jednak gdy następnym razem pójdziecie umyć ręce bez konkretnego powodu ,_ zastanówcie się przez chwile czy przypadkiem nie macie czegoś na sumieniu ._
Tokens: 1______ 2_ 3______ 4_ 5____ 6__ 7_________ 8 9_____ 10_ 11_______ 12___ 13________ 14__ 15__ 16_ 17_________ 18____ 19 20_________ 21_ 22___ 23____ 24_ 25_________ 26_ 27___ 28____ 29 30______ 31

Chunks:

2017-06-14 20:20:29,640 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 43 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102348.xml
(ChunkerEvaluator) Sentence #670 from 00102348 from sent1

Text  : Choroba jest rzeczywiście dość paskudna ( patrz niemiłe zdjęcie )_ ,_ ale znana od dawna ,_ w_ żadnym wypadku „_ tajemnicza ”_ ;_ od dawna wiadomo zresztą ,_ że gronkowiec złocisty to w_ ogóle wyjątkowo wredne bydlę ._
Tokens: 1______ 2___ 3___________ 4___ 5_______ 6 7____ 8______ 9______ 10 11 12_ 13___ 14 15___ 16 17 18____ 19_____ 20 21________ 22 23 24 25___ 26_____ 27_____ 28 29 30________ 31______ 32 33 34___ 35_______ 36____ 37___ 38

Chunks:

(ChunkerEvaluator) Sentence #671 from 00102348 from sent2

Text  : Choroba czasami faktycznie uśmierca , ale grypa też .
Tokens: 1______ 2______ 3_________ 4_______ 5 6__ 7____ 8__ 9

Chunks:

(ChunkerEvaluator) Sentence #672 from 00102348 from sent3

Text  : W dodatku żadnym z przeczytanych przeze mnie tekstów nie ma mowy o_ przenoszeniu bakterii drogą płciową ,_ w_ szczególności podczas stosunków homoseksualnych ._
Tokens: 1 2______ 3_____ 4 5____________ 6_____ 7___ 8______ 9__ 10 11__ 12 13__________ 14______ 15___ 16_____ 17 18 19___________ 20_____ 21_______ 22_____________ 23

Chunks:

(ChunkerEvaluator) Sentence #673 from 00102348 from sent4

Text  : Po co to pisać takie niesprawdzone bajki ?
Tokens: 1_ 2_ 3_ 4____ 5____ 6____________ 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #674 from 00102348 from sent5

Text  : Jak się to ma do rzetelności dziennikarskiej ?
Tokens: 1__ 2__ 3_ 4_ 5_ 6__________ 7______________ 8

Chunks:

(ChunkerEvaluator) Sentence #675 from 00102348 from sent6

Text  : Czy tylko dlatego , że takie wiadomości „ przypaszą ”_ katoendeckiej „_ wierchuszce ”_ gazety i_ postraszą małokumatych ?_
Tokens: 1__ 2____ 3______ 4 5_ 6____ 7_________ 8 9________ 10 11___________ 12 13_________ 14 15____ 16 17_______ 18__________ 19

Chunks:

(ChunkerEvaluator) Sentence #676 from 00102348 from sent7

Text  : No teksty „ naukowe ” w dziennikach , bez względu na to ,_ czy są publikowane w_ „_ GW ”_ ,_ „_ Rz ”_ ,_ czy „_ Dz ”_ są marnej jakości i_ rzeczywiście zazwyczaj mają zadanie przyciągnąć uwagę sensacyjnym tytułem ,_ natomiast treść zazwyczaj nijaka ma z_ nauką niewiele wspólnego ._
Tokens: 1_ 2_____ 3 4______ 5 6 7__________ 8 9__ 10_____ 11 12 13 14_ 15 16_________ 17 18 19 20 21 22 23 24 25 26_ 27 28 29 30 31____ 32_____ 33 34__________ 35_______ 36__ 37_____ 38_________ 39___ 40_________ 41_____ 42 43_______ 44___ 45_______ 46____ 47 48 49___ 50______ 51_______ 52

Chunks:
  TruePositive nam [19,19] = GW (confidence=1.00)
  TruePositive nam [23,23] = Rz (confidence=1.00)
  TruePositive nam [28,28] = Dz (confidence=0.99)

(ChunkerEvaluator) Sentence #677 from 00102348 from sent8

Text  : W prasie często pojawiają się artykuły nt . tzw ._ „_ sensacji archeologicznych ”_ ._
Tokens: 1 2_____ 3_____ 4________ 5__ 6_______ 7_ 8 9__ 10 11 12______ 13______________ 14 15

Chunks:

(ChunkerEvaluator) Sentence #678 from 00102348 from sent9

Text  : Miałem przyjemność nieraz zetknąć się z osobnikami , którzy twierdzili ,_ że pisują dla dzienników regionalnych ._
Tokens: 1_____ 2__________ 3_____ 4______ 5__ 6 7_________ 8 9_____ 10________ 11 12 13____ 14_ 15________ 16__________ 17

Chunks:

(ChunkerEvaluator) Sentence #679 from 00102348 from sent10

Text  : Pominę milczeniem fakt , że zależało im przede wszystkim na tejże sensacji ,_ czytaj :_ złoto ,_ skarby i_ inne precjoza ,_ a_ nie interesowało ich to ,_ co jest celem takich badań ,_ czyli wyjaśnienie ,_ jak żyli ludzie (_ nie ci z_ elit –_ tym zajmuje się historia )_ w_ przeszłości ._
Tokens: 1_____ 2_________ 3___ 4 5_ 6_______ 7_ 8_____ 9________ 10 11___ 12______ 13 14____ 15 16___ 17 18____ 19 20__ 21______ 22 23 24_ 25__________ 26_ 27 28 29 30__ 31___ 32____ 33___ 34 35___ 36_________ 37 38_ 39__ 40____ 41 42_ 43 44 45__ 46 47_ 48_____ 49_ 50______ 51 52 53_________ 54

Chunks:

(ChunkerEvaluator) Sentence #680 from 00102348 from sent11

Text  : Najgorsze było to , że ci panowie przetwarzali informacji ,_ które im dostarczali śmy w_ sposób ,_ który zmieniał ich sens ,_ ale był zgodny z_ oczekiwaniami redaktorów ._
Tokens: 1________ 2___ 3_ 4 5_ 6_ 7______ 8___________ 9_________ 10 11___ 12 13_________ 14_ 15 16____ 17 18___ 19______ 20_ 21__ 22 23_ 24_ 25____ 26 27___________ 28________ 29

Chunks:

(ChunkerEvaluator) Sentence #681 from 00102348 from sent12

Text  : Czasami , aż się prosi zarządać autoryzacji , bo wymieniają nazwiska „_ badaczy ”_ i_ przypisują im wypowiedzi ,_ które mogą być dla takiej osoby kompromitujące ._
Tokens: 1______ 2 3_ 4__ 5____ 6_______ 7__________ 8 9_ 10________ 11______ 12 13_____ 14 15 16________ 17 18________ 19 20___ 21__ 22_ 23_ 24____ 25___ 26____________ 27

Chunks:

(ChunkerEvaluator) Sentence #682 from 00102348 from sent13

Text  : Nie wiem , jak to jest z innymi dziedzinami ,_ zapewne nie lepiej ,_ więc może niech gazety odpuszczą sobie misję nauczania ._
Tokens: 1__ 2___ 3 4__ 5_ 6___ 7 8_____ 9__________ 10 11_____ 12_ 13____ 14 15__ 16__ 17___ 18____ 19_______ 20___ 21___ 22_______ 23

Chunks:

(ChunkerEvaluator) Sentence #683 from 00102348 from sent14

Text  : „ W dodatku żadnym z przeczytanych przeze mnie tekstów nie ma mowy o_ przenoszeniu bakterii drogą płciową ,_ w_ szczególności podczas stosunków homoseksualnych ._ ”_
Tokens: 1 2 3______ 4_____ 5 6____________ 7_____ 8___ 9______ 10_ 11 12__ 13 14__________ 15______ 16___ 17_____ 18 19 20___________ 21_____ 22_______ 23_____________ 24 25

Chunks:

(ChunkerEvaluator) Sentence #684 from 00102348 from sent15

Text  : Bo kiepsko pan szukal .
Tokens: 1_ 2______ 3__ 4_____ 5

Chunks:

2017-06-14 20:20:29,730 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 44 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102386.xml
(ChunkerEvaluator) Sentence #685 from 00102386 from sent1

Text  : Fandomy to z całą pewnością społeczności , które wywierają ogromny wychowawczy wpływ na swoich członków ._
Tokens: 1______ 2_ 3 4___ 5________ 6___________ 7 8____ 9________ 10_____ 11_________ 12___ 13 14____ 15______ 16

Chunks:
  FalseNegative nam [1,1] = Fandomy

(ChunkerEvaluator) Sentence #686 from 00102386 from sent2

Text  : Kształtują one ich osobowość , postawy , wyznawane przez nich wartości czy normy ._
Tokens: 1_________ 2__ 3__ 4________ 5 6______ 7 8________ 9____ 10__ 11______ 12_ 13___ 14

Chunks:

(ChunkerEvaluator) Sentence #687 from 00102386 from sent3

Text  : Nie chodzi mi tutaj o socjalizację do owej specyficznej grupy subkulturowej ,_ jaką są fani danego produktu czy gatunku popkulturowego ._
Tokens: 1__ 2_____ 3_ 4____ 5 6___________ 7_ 8___ 9___________ 10___ 11___________ 12 13__ 14 15__ 16____ 17______ 18_ 19_____ 20____________ 21

Chunks:

(ChunkerEvaluator) Sentence #688 from 00102386 from sent4

Text  : Pominę aspekt przyswajania sobie norm i reguł charakterystycznych dla danego fandomu jako specyficznej wspólnoty ._
Tokens: 1_____ 2_____ 3___________ 4____ 5___ 6 7____ 8__________________ 9__ 10____ 11_____ 12__ 13__________ 14_______ 15

Chunks:
  FalseNegative nam [11,11] = fandomu

(ChunkerEvaluator) Sentence #689 from 00102386 from sent5

Text  : Skupię się bardziej na wpływie treści , które fani czynią przedmiotem swojego uwielbienia ._
Tokens: 1_____ 2__ 3_______ 4_ 5______ 6_____ 7 8____ 9___ 10____ 11_________ 12_____ 13_________ 14

Chunks:

(ChunkerEvaluator) Sentence #690 from 00102386 from sent6

Text  : Wpływ treści komunikatów medialnych na odbiorcę jest niewątpliwy .
Tokens: 1____ 2_____ 3__________ 4_________ 5_ 6_______ 7___ 8__________ 9

Chunks:

(ChunkerEvaluator) Sentence #691 from 00102386 from sent7

Text  : Badacze wielokrotnie podejmują debatę , czy jest to wpływ negatywny ,_ bardzo szeroko opisywany w_ publikacjach naukowych ,_ czy raczej pozytywny ,_ polegający na kształtowaniu pozytywnych postaw i_ zachowań ._
Tokens: 1______ 2___________ 3________ 4_____ 5 6__ 7___ 8_ 9____ 10_______ 11 12____ 13_____ 14_______ 15 16__________ 17_______ 18 19_ 20____ 21_______ 22 23________ 24 25___________ 26_________ 27____ 28 29______ 30

Chunks:

(ChunkerEvaluator) Sentence #692 from 00102386 from sent8

Text  : Nie chcę rozstrzygać , który spośród tych poglądów bliższy jest prawdzie ._
Tokens: 1__ 2___ 3__________ 4 5____ 6______ 7___ 8_______ 9______ 10__ 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #693 from 00102386 from sent9

Text  : Moim zadaniem wskazanie jest , że treści przekazów medialnych ,_ którymi fani się interesują ,_ wywierają na nich wpływ wychowawczy ._
Tokens: 1___ 2_______ 3________ 4___ 5 6_ 7_____ 8________ 9_________ 10 11_____ 12__ 13_ 14________ 15 16_______ 17 18__ 19___ 20_________ 21

Chunks:

(ChunkerEvaluator) Sentence #694 from 00102386 from sent10

Text  : Co ważne , ze względu na silne zaangażowanie fanów w_ odbiór różnych treści ,_ wpływ ten jest znaczący ._
Tokens: 1_ 2____ 3 4_ 5______ 6_ 7____ 8____________ 9____ 10 11____ 12_____ 13____ 14 15___ 16_ 17__ 18______ 19

Chunks:

(ChunkerEvaluator) Sentence #695 from 00102386 from sent11

Text  : Przykładowo fani niejednokrotnie utożsamiają się z bohaterami serialu , wiele postaci stanowić może dla nich wzorzec osobowy ._
Tokens: 1__________ 2___ 3______________ 4__________ 5__ 6 7_________ 8______ 9 10___ 11_____ 12______ 13__ 14_ 15__ 16_____ 17_____ 18

Chunks:

(ChunkerEvaluator) Sentence #696 from 00102386 from sent12

Text  : Powszechnie dyskutowany jest chociażby przypadek Harry ’ ego Pottera ._
Tokens: 1__________ 2__________ 3___ 4________ 5________ 6____ 7 8__ 9______ 10

Chunks:
  TruePositive nam [6,9] = Harry ’ ego Pottera (confidence=1.00)

(ChunkerEvaluator) Sentence #697 from 00102386 from sent13

Text  : Różne środowiska wychowawcze sprzeczają się o to , jaki wpływ na kształtowanie osobowości młodych fanów mają przygody nastoletniego czarodzieja ._
Tokens: 1____ 2_________ 3__________ 4_________ 5__ 6 7_ 8 9___ 10___ 11 12___________ 13________ 14_____ 15___ 16__ 17______ 18___________ 19_________ 20

Chunks:

(ChunkerEvaluator) Sentence #698 from 00102386 from sent14

Text  : O przejmowaniu wzorów osobowych świadczyć może chociażby przebieranie się fanów za ulubione postaci ._
Tokens: 1 2___________ 3_____ 4________ 5________ 6___ 7________ 8___________ 9__ 10___ 11 12______ 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #699 from 00102386 from sent15

Text  : Ciekawy przykład wpływu treści na odbiorców - fanów podaje Witold Jakubowski ._
Tokens: 1______ 2_______ 3_____ 4_____ 5_ 6________ 7 8____ 9_____ 10____ 11________ 12

Chunks:
  TruePositive nam [10,11] = Witold Jakubowski (confidence=1.00)

(ChunkerEvaluator) Sentence #700 from 00102386 from sent16

Text  : Badacz ten , opisując go na podstawie polskich telenoweli ,_ stwierdza ,_ że tego typu seriale są poradnikami życia ._
Tokens: 1_____ 2__ 3 4_______ 5_ 6_ 7________ 8_______ 9_________ 10 11_______ 12 13 14__ 15__ 16_____ 17 18_________ 19___ 20

Chunks:

(ChunkerEvaluator) Sentence #701 from 00102386 from sent17

Text  : Zawierają w sobie postulowane wizerunki człowieka i świata , często podejmowane są w_ nich tematy publicystyczne ,_ równie często przemycane są w_ treści różne instrukcje jak należy postępować ,_ a_ jak nie ,_ w_ rozmaitych sytuacjach życiowych ._
Tokens: 1________ 2 3____ 4__________ 5________ 6________ 7 8_____ 9 10____ 11_________ 12 13 14__ 15____ 16____________ 17 18____ 19____ 20________ 21 22 23____ 24___ 25________ 26_ 27____ 28________ 29 30 31_ 32_ 33 34 35________ 36________ 37_______ 38

Chunks:

(ChunkerEvaluator) Sentence #702 from 00102386 from sent18

Text  : Jedną z korzyści płynących z użytkowania seriali jest zatem pomoc w_ rozwiązywaniu rzeczywistych problemów we własnym życiu ._
Tokens: 1____ 2 3_______ 4________ 5 6__________ 7______ 8___ 9____ 10___ 11 12___________ 13___________ 14_______ 15 16_____ 17___ 18

Chunks:

(ChunkerEvaluator) Sentence #703 from 00102386 from sent19

Text  : Tak właśnie używają ich najczęściej najzagorzalsi zwolennicy serialu , czyli po prostu fani ._
Tokens: 1__ 2______ 3______ 4__ 5__________ 6____________ 7_________ 8______ 9 10___ 11 12____ 13__ 14

Chunks:

(ChunkerEvaluator) Sentence #704 from 00102386 from sent20

Text  : Doskonale widać to na tworzonych przez nich społecznościach wirtualnych ._
Tokens: 1________ 2____ 3_ 4_ 5_________ 6____ 7___ 8______________ 9__________ 10

Chunks:

(ChunkerEvaluator) Sentence #705 from 00102386 from sent21

Text  : Jakubowski opisuje internetowe wspólnoty wielbicieli seriali Plebania , Klan ,_ Na dobre i_ na złe i_ wskazuje na obecny w_ nich poradniczy kontekst serialu ._
Tokens: 1_________ 2______ 3__________ 4________ 5__________ 6______ 7_______ 8 9___ 10 11 12___ 13 14 15_ 16 17______ 18 19____ 20 21__ 22________ 23______ 24_____ 25

Chunks:
  TruePositive nam [1,1] = Jakubowski (confidence=0.91)
  TruePositive nam [7,7] = Plebania (confidence=1.00)
  TruePositive nam [9,9] = Klan (confidence=0.98)
  FalseNegative nam [11,15] = Na dobre i na złe

(ChunkerEvaluator) Sentence #706 from 00102386 from sent22

Text  : W społecznościach tych fani mogą się swobodnie wypowiadać , wymieniać poglądy ,_ komentować serialowe wydarzenia ._
Tokens: 1 2______________ 3___ 4___ 5___ 6__ 7________ 8_________ 9 10_______ 11_____ 12 13________ 14_______ 15________ 16

Chunks:

(ChunkerEvaluator) Sentence #707 from 00102386 from sent23

Text  : Sprzyja to nieformalnej edukacji , której są przedmiotem , sprzyja przyjmowaniu postulowanych w_ serialu wzorów ._
Tokens: 1______ 2_ 3___________ 4_______ 5 6_____ 7_ 8__________ 9 10_____ 11__________ 12___________ 13 14_____ 15____ 16

Chunks:

2017-06-14 20:20:29,831 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 45 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102395.xml
(ChunkerEvaluator) Sentence #708 from 00102395 from sent1

Text  : My również opiszemy taką przeróbkę , jednak zamiast opisywać jak zrobić to najprościej ,_ spróbujemy położyć nacisk na to ,_ jak wykonać taki zasilacz rozumiejąc ,_ co się robi i_ przy okazji wykorzystać jak najwięcej funkcji ,_ które taki zasilacz oferuje ._
Tokens: 1_ 2______ 3_______ 4___ 5________ 6 7_____ 8______ 9_______ 10_ 11____ 12 13_________ 14 15________ 16_____ 17____ 18 19 20 21_ 22_____ 23__ 24______ 25________ 26 27 28_ 29__ 30 31__ 32____ 33_________ 34_ 35_______ 36_____ 37 38___ 39__ 40______ 41_____ 42

Chunks:

(ChunkerEvaluator) Sentence #709 from 00102395 from sent2

Text  : Aktualnie można spotkać dwa rodzaje zasilaczy do komputerów PC :_ typu AT i_ ATX ._
Tokens: 1________ 2____ 3______ 4__ 5______ 6________ 7_ 8_________ 9_ 10 11__ 12 13 14_ 15

Chunks:
  TruePositive nam [9,9] = PC (confidence=0.99)
  FalsePositive nam [12,12] = AT (confidence=0.95) (incorrect boundry)
  FalsePositive nam [14,14] = ATX (confidence=0.98) (incorrect boundry)

(ChunkerEvaluator) Sentence #710 from 00102395 from sent3

Text  : Zasilacze typu AT wyszły już z użycia i w praktyce można nabyć jedynie egzemplarze używane ._
Tokens: 1________ 2___ 3_ 4_____ 5__ 6 7_____ 8 9 10______ 11___ 12___ 13_____ 14_________ 15_____ 16

Chunks:
  FalsePositive nam [3,3] = AT (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #711 from 00102395 from sent4

Text  : Zasilacz typu ATX można kupić w dowolnym sklepie komputerowym ._
Tokens: 1_______ 2___ 3__ 4____ 5____ 6 7_______ 8______ 9___________ 10

Chunks:
  FalsePositive nam [3,3] = ATX (confidence=0.91) (incorrect boundry)

(ChunkerEvaluator) Sentence #712 from 00102395 from sent5

Text  : Ten artykuł opisuje przeróbkę zasilacza typu ATX i nie ma zastosowania do zasilaczy AT ._
Tokens: 1__ 2______ 3______ 4________ 5________ 6___ 7__ 8 9__ 10 11__________ 12 13_______ 14 15

Chunks:
  FalsePositive nam [7,7] = ATX (confidence=0.97) (incorrect boundry)
  FalsePositive nam [14,14] = AT (confidence=0.65) (incorrect boundry)

(ChunkerEvaluator) Sentence #713 from 00102395 from sent6

Text  : Uwaga : zasilacz ATX jest urządzeniem elektrycznym .
Tokens: 1____ 2 3_______ 4__ 5___ 6__________ 7___________ 8

Chunks:
  FalsePositive nam [4,4] = ATX (confidence=0.97) (incorrect boundry)

(ChunkerEvaluator) Sentence #714 from 00102395 from sent7

Text  : Dotknięcie któregoś z jego elementów w chwili , gdy znajduje się pod napięciem ,_ może doprowadzić do porażenia prądem ._
Tokens: 1_________ 2_______ 3 4___ 5________ 6 7_____ 8 9__ 10______ 11_ 12_ 13_______ 14 15__ 16_________ 17 18_______ 19____ 20

Chunks:

(ChunkerEvaluator) Sentence #715 from 00102395 from sent8

Text  : Ponadto należy pamiętać , że nawet po zupełnym odłączeniu przewodu zasilającego ,_ przez jakiś czas w_ kondensatorach zasilacza utrzymuje się napięcie ._
Tokens: 1______ 2_____ 3_______ 4 5_ 6____ 7_ 8_______ 9_________ 10______ 11__________ 12 13___ 14___ 15__ 16 17____________ 18_______ 19_______ 20_ 21______ 22

Chunks:

(ChunkerEvaluator) Sentence #716 from 00102395 from sent9

Text  : Opisana tu przeróbka jest bardzo prosta i nie wymaga ani specjalnej wiedzy ,_ ani doświadczenia ._
Tokens: 1______ 2_ 3________ 4___ 5_____ 6_____ 7 8__ 9_____ 10_ 11________ 12____ 13 14_ 15___________ 16

Chunks:

(ChunkerEvaluator) Sentence #717 from 00102395 from sent10

Text  : Pamiętaj jednak , że podejmując się jej robisz to na własną odpowiedzialność i_ autor artykułu nie ponosi żadnej odpowiedzialności za szkody wynikłe w_ trakcie lub w_ wyniku tej przeróbki ._
Tokens: 1_______ 2_____ 3 4_ 5_________ 6__ 7__ 8_____ 9_ 10 11____ 12______________ 13 14___ 15______ 16_ 17____ 18____ 19_______________ 20 21____ 22_____ 23 24_____ 25_ 26 27____ 28_ 29_______ 30

Chunks:

(ChunkerEvaluator) Sentence #718 from 00102395 from sent11

Text  : Zasilacze ATX różnią sie między sobą parametrami i wydajnością ._
Tokens: 1________ 2__ 3_____ 4__ 5_____ 6___ 7__________ 8 9__________ 10

Chunks:
  FalsePositive nam [2,2] = ATX (confidence=0.68) (incorrect boundry)

(ChunkerEvaluator) Sentence #719 from 00102395 from sent12

Text  : Wynika to z faktu , że specyfikacja ATX zmieniała się w_ czasie ,_ a_ ponadto nie wszyscy producenci w_ jednakowym stopniu stosują sie do specyfikacji ._
Tokens: 1_____ 2_ 3 4____ 5 6_ 7___________ 8__ 9________ 10_ 11 12____ 13 14 15_____ 16_ 17_____ 18________ 19 20________ 21_____ 22_____ 23_ 24 25__________ 26

Chunks:
  FalsePositive nam [8,8] = ATX (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #720 from 00102395 from sent13

Text  : Dlatego przy realizacji tego projektu bardzo pomocny będzie miernik uniwersalny ,_ który pozwoli sprawdzić rzeczywiste parametry przerabianego egzemplarza ._
Tokens: 1______ 2___ 3_________ 4___ 5_______ 6_____ 7______ 8_____ 9______ 10_________ 11 12___ 13_____ 14_______ 15_________ 16_______ 17___________ 18_________ 19

Chunks:

(ChunkerEvaluator) Sentence #721 from 00102395 from sent14

Text  : W zupełności wystarczy najprostszy miernik dostępny w każdym sklepie elektronicznym lub markecie budowlanym ._
Tokens: 1 2_________ 3________ 4__________ 5______ 6_______ 7 8_____ 9______ 10____________ 11_ 12______ 13________ 14

Chunks:

(ChunkerEvaluator) Sentence #722 from 00102395 from sent15

Text  : Lista potrzebnych części zależy od funkcjonalności , w jaką zdecydujemy się wyposażyć nasz zasilacz ._
Tokens: 1____ 2__________ 3_____ 4_____ 5_ 6______________ 7 8 9___ 10_________ 11_ 12_______ 13__ 14______ 15

Chunks:

(ChunkerEvaluator) Sentence #723 from 00102395 from sent16

Text  : W artykule opiszemy następujące funkcje :
Tokens: 1 2_______ 3_______ 4__________ 5______ 6

Chunks:

(ChunkerEvaluator) Sentence #724 from 00102395 from sent17

Text  : Wyłącznik Napięcie + 12V wyprowadzone na gniazdo bananowe
Tokens: 1________ 2_______ 3 4__ 5___________ 6_ 7______ 8_______

Chunks:

(ChunkerEvaluator) Sentence #725 from 00102395 from sent18

Text  : Napięcie + 5V wyprowadzone na gniazdo bananowe
Tokens: 1_______ 2 3_ 4___________ 5_ 6______ 7_______

Chunks:

(ChunkerEvaluator) Sentence #726 from 00102395 from sent19

Text  : Napięcie + 3 . 3V wyprowadzone na gniazdo bananowe
Tokens: 1_______ 2 3 4 5_ 6___________ 7_ 8______ 9_______

Chunks:

(ChunkerEvaluator) Sentence #727 from 00102395 from sent20

Text  : Sygnał Power OK informujący o poprawnej pracy zasilacza wyprowadzony na diodę LED
Tokens: 1_____ 2____ 3_ 4__________ 5 6________ 7____ 8________ 9___________ 10 11___ 12_

Chunks:
  FalsePositive nam [12,12] = LED (confidence=0.64) (incorrect boundry)

(ChunkerEvaluator) Sentence #728 from 00102395 from sent21

Text  : Sygnał Stand By informujący o gotowości zasilacza wyprowadzony na diodę LED
Tokens: 1_____ 2____ 3_ 4__________ 5 6________ 7________ 8___________ 9_ 10___ 11_

Chunks:
  FalsePositive nam [11,11] = LED (confidence=0.64) (incorrect boundry)

(ChunkerEvaluator) Sentence #729 from 00102395 from sent22

Text  : Opcjonalne obciążenie wyjścia + 5V zapobiegające spadkom napięcia na wyjściu +_ 12V ,_ wyposażone w_ osobny wyłącznik
Tokens: 1_________ 2_________ 3______ 4 5_ 6____________ 7______ 8_______ 9_ 10_____ 11 12_ 13 14________ 15 16____ 17_______

Chunks:

2017-06-14 20:20:29,922 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 46 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102502.xml
(ChunkerEvaluator) Sentence #730 from 00102502 from sent1

Text  : Stormdust jest całkowicie polskim serwisem , dedykowanym zdalnie sterowanym modelom samochodów ._
Tokens: 1________ 2___ 3_________ 4______ 5_______ 6 7__________ 8______ 9_________ 10_____ 11________ 12

Chunks:
  FalseNegative nam [1,1] = Stormdust

(ChunkerEvaluator) Sentence #731 from 00102502 from sent2

Text  : Współpracujemy z serwisami anglojęzycznymi , dzięki czemu możemy prezentować najnowsze wiadomości ze świata samochodów RC ,_ oczywiście w_ języku polskim ._
Tokens: 1_____________ 2 3________ 4______________ 5 6_____ 7____ 8_____ 9__________ 10_______ 11________ 12 13____ 14________ 15 16 17________ 18 19____ 20_____ 21

Chunks:
  FalsePositive nam [15,15] = RC (confidence=0.60) (incorrect boundry)

(ChunkerEvaluator) Sentence #732 from 00102502 from sent3

Text  : Ponadto , w oparciu o własne doświadczenia oraz rozmowy z_ doświadczonymi zawodnikami i_ modelarzami ,_ publikujemy rzetelnie ._
Tokens: 1______ 2 3 4______ 5 6_____ 7____________ 8___ 9______ 10 11____________ 12_________ 13 14_________ 15 16_________ 17_______ 18

Chunks:

(ChunkerEvaluator) Sentence #733 from 00102502 from sent4

Text  : Jeśli chcesz skontaktować się z zespołem tworzącym serwis Stormdust ,_ napisz na adres ._
Tokens: 1____ 2_____ 3___________ 4__ 5 6_______ 7________ 8_____ 9________ 10 11____ 12 13___ 14

Chunks:
  TruePositive nam [9,9] = Stormdust (confidence=0.94)

(ChunkerEvaluator) Sentence #734 from 00102502 from sent5

Text  : Jeśli masz ogólne pytania związane z modelarstwem , najlepiej zadać je na forum rc -_ auto ._
Tokens: 1____ 2___ 3_____ 4______ 5_______ 6 7___________ 8 9________ 10___ 11 12 13___ 14 15 16__ 17

Chunks:

(ChunkerEvaluator) Sentence #735 from 00102502 from sent6

Text  : Mapa serwisu
Tokens: 1___ 2______

Chunks:

(ChunkerEvaluator) Sentence #736 from 00102502 from sent7

Text  : W dziale Pierwszy model pomagamy dokonać wyboru i zakupu osobom ,_ które dopiero rozpoczynają swoją przygodę z_ samochodami zdalnie sterowanymi ._
Tokens: 1 2_____ 3_______ 4____ 5_______ 6______ 7_____ 8 9_____ 10____ 11 12___ 13_____ 14__________ 15___ 16______ 17 18_________ 19_____ 20_________ 21

Chunks:

(ChunkerEvaluator) Sentence #737 from 00102502 from sent8

Text  : W Prezentacjach przedstawiamy modele zaprzyjaźnionych z nami modelarzy .
Tokens: 1 2____________ 3____________ 4_____ 5_______________ 6 7___ 8________ 9

Chunks:
  FalsePositive nam [2,2] = Prezentacjach (confidence=0.86) (incorrect boundry)

(ChunkerEvaluator) Sentence #738 from 00102502 from sent9

Text  : Są wśród z nich zarówno auta wprost z pudełka jak i_ wyrafinowane konstrukcje ,_ takie jak bezszczotkowe konwersje modeli nitro i_ inne ciekawe projekty ._
Tokens: 1_ 2____ 3 4___ 5______ 6___ 7_____ 8 9______ 10_ 11 12__________ 13_________ 14 15___ 16_ 17___________ 18_______ 19____ 20___ 21 22__ 23_____ 24______ 25

Chunks:

(ChunkerEvaluator) Sentence #739 from 00102502 from sent10

Text  : Opisy to szczegółowe recenzje modeli i sprzętu modelarskiego .
Tokens: 1____ 2_ 3__________ 4_______ 5_____ 6 7______ 8____________ 9

Chunks:

(ChunkerEvaluator) Sentence #740 from 00102502 from sent11

Text  : Dział Warsztat to ogólne porady techniczne z zakresu obsługi i_ naprawy zdalnie sterowanych samochodów ._
Tokens: 1____ 2_______ 3_ 4_____ 5_____ 6_________ 7 8______ 9______ 10 11_____ 12_____ 13_________ 14________ 15

Chunks:
  FalsePositive nam [1,2] = Dział Warsztat (confidence=0.55) (incorrect boundry)

(ChunkerEvaluator) Sentence #741 from 00102502 from sent12

Text  : Artykuły techniczne dotyczące konkretnych modeli wydzielili śmy do osobnych działów w_ sekcji Więcej o_ modelach ._
Tokens: 1_______ 2_________ 3________ 4__________ 5_____ 6_________ 7__ 8_ 9_______ 10_____ 11 12____ 13____ 14 15______ 16

Chunks:

(ChunkerEvaluator) Sentence #742 from 00102502 from sent13

Text  : Staramy się bywać na lokalnych imprezach , zawodach i spotkaniach modelarskich ._
Tokens: 1______ 2__ 3____ 4_ 5________ 6________ 7 8_______ 9 10_________ 11__________ 12

Chunks:

(ChunkerEvaluator) Sentence #743 from 00102502 from sent14

Text  : Relacje z nich dostępne są w sekcjach Zawody i Galeria ._
Tokens: 1______ 2 3___ 4_______ 5_ 6 7_______ 8_____ 9 10_____ 11

Chunks:
  FalsePositive nam [8,8] = Zawody (confidence=0.52) (incorrect boundry)
  FalsePositive nam [10,10] = Galeria (confidence=0.92) (incorrect boundry)

(ChunkerEvaluator) Sentence #744 from 00102502 from sent15

Text  : Tapety to kolekcja wysokiej jakości oryginalnych tapet na pulpit ,_ oczywiście ze zdalnie sterowanymi modelami samochodów ._
Tokens: 1_____ 2_ 3_______ 4_______ 5______ 6___________ 7____ 8_ 9_____ 10 11________ 12 13_____ 14_________ 15______ 16________ 17

Chunks:

(ChunkerEvaluator) Sentence #745 from 00102502 from sent16

Text  : Wreszcie dział O nas pozwala dowiedziec się więcej o serwisie
Tokens: 1_______ 2____ 3 4__ 5______ 6_________ 7__ 8_____ 9 10______

Chunks:

2017-06-14 20:20:29,983 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 47 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102603.xml
(ChunkerEvaluator) Sentence #746 from 00102603 from sent1

Text  : 6 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #747 from 00102603 from sent2

Text  : Okres używalności wizerunku orła , dystynkcji i znaków identyfikacyjnych jest równy okresowi używalności przedmiotów umundurowania ,_ do których zostały wydane ,_ z_ wyjątkiem identyfikatora osobistego wydawanego jednorazowo ._
Tokens: 1____ 2__________ 3________ 4___ 5 6_________ 7 8_____ 9________________ 10__ 11___ 12______ 13_________ 14_________ 15___________ 16 17 18_____ 19_____ 20____ 21 22 23_______ 24____________ 25________ 26________ 27_________ 28

Chunks:

(ChunkerEvaluator) Sentence #748 from 00102603 from sent3

Text  : § 17 . 1 .
Tokens: 1 2_ 3 4 5

Chunks:

(ChunkerEvaluator) Sentence #749 from 00102603 from sent4

Text  : Strażakowi można wydać przedmioty umundurowania , odzieży specjalnej , ekwipunku osobistego oraz dystynkcje przed upływem okresu ich używalności w_ przypadkach utraty przedmiotu lub utraty jego wartości użytkowej ._
Tokens: 1_________ 2____ 3____ 4_________ 5____________ 6 7______ 8_________ 9 10_______ 11________ 12__ 13________ 14___ 15_____ 16____ 17_ 18_________ 19 20_________ 21____ 22________ 23_ 24____ 25__ 26______ 27_______ 28

Chunks:

(ChunkerEvaluator) Sentence #750 from 00102603 from sent5

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #751 from 00102603 from sent6

Text  : W przypadkach utraty przedmiotu lub utraty jego wartości użytkowej ,_ powstałych w_ związku z_ wykonywaniem obowiązków służbowych z_ przyczyn niezależnych od strażaka ,_ wydaje się nieodpłatnie nowy przedmiot ._
Tokens: 1 2__________ 3_____ 4_________ 5__ 6_____ 7___ 8_______ 9________ 10 11________ 12 13_____ 14 15__________ 16________ 17________ 18 19______ 20__________ 21 22______ 23 24____ 25_ 26__________ 27__ 28_______ 29

Chunks:

(ChunkerEvaluator) Sentence #752 from 00102603 from sent7

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #753 from 00102603 from sent8

Text  : W przypadkach utraty przedmiotu umundurowania lub utraty jego wartości użytkowej powstałych z_ winy strażaka wydaje się na jego wniosek nowy przedmiot ,_ jednakże jest on obowiązany zwrócić równowartość utraconego przedmiotu ._
Tokens: 1 2__________ 3_____ 4_________ 5____________ 6__ 7_____ 8___ 9_______ 10_______ 11________ 12 13__ 14______ 15____ 16_ 17 18__ 19_____ 20__ 21_______ 22 23______ 24__ 25 26________ 27_____ 28__________ 29________ 30________ 31

Chunks:

(ChunkerEvaluator) Sentence #754 from 00102603 from sent9

Text  : 4 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #755 from 00102603 from sent10

Text  : W przypadku wydalenia ze służby strażak jest obowiązany uiścić równowartość przedmiotów umundurowania za czas do końca okresu ich używalności według aktualnych tabel kalkulacyjnych równoważnika pieniężnego w_ zamian za umundurowanie ,_ określonych w_ odrębnych przepisach ._
Tokens: 1 2________ 3________ 4_ 5_____ 6______ 7___ 8_________ 9_____ 10__________ 11_________ 12___________ 13 14__ 15 16___ 17____ 18_ 19_________ 20____ 21________ 22___ 23____________ 24__________ 25_________ 26 27____ 28 29___________ 30 31_________ 32 33_______ 34________ 35

Chunks:

(ChunkerEvaluator) Sentence #756 from 00102603 from sent11

Text  : § 18 .
Tokens: 1 2_ 3

Chunks:

(ChunkerEvaluator) Sentence #757 from 00102603 from sent12

Text  : Strażakowi korzystającemu z urlopu bezpłatnego lub wychowawczego trwającego powyżej 6_ miesięcy oraz zawieszonemu w_ czynnościach służbowych przedłuża się okres używalności przedmiotów umundurowania ,_ odzieży specjalnej i_ ekwipunku osobistego o_ czas urlopu lub zawieszenia ._
Tokens: 1_________ 2_____________ 3 4_____ 5__________ 6__ 7____________ 8_________ 9______ 10 11______ 12__ 13__________ 14 15__________ 16________ 17_______ 18_ 19___ 20_________ 21_________ 22___________ 23 24_____ 25________ 26 27_______ 28________ 29 30__ 31____ 32_ 33_________ 34

Chunks:

(ChunkerEvaluator) Sentence #758 from 00102603 from sent13

Text  : § 19 . 1 .
Tokens: 1 2_ 3 4 5

Chunks:

(ChunkerEvaluator) Sentence #759 from 00102603 from sent14

Text  : Strażak jest obowiązany zwrócić przedmioty odzieży specjalnej i ekwipunku osobistego niebędące przedmiotami osobistego użytku :_
Tokens: 1______ 2___ 3_________ 4______ 5_________ 6______ 7_________ 8 9________ 10________ 11_______ 12__________ 13________ 14____ 15

Chunks:

(ChunkerEvaluator) Sentence #760 from 00102603 from sent15

Text  : 1 ) w przypadku ich zużycia ;
Tokens: 1 2 3 4________ 5__ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #761 from 00102603 from sent16

Text  : 2 ) w przypadku zwolnienia ze służby ;
Tokens: 1 2 3 4________ 5_________ 6_ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #762 from 00102603 from sent17

Text  : 3 ) po upływie okresu ich używalności .
Tokens: 1 2 3_ 4______ 5_____ 6__ 7__________ 8

Chunks:

(ChunkerEvaluator) Sentence #763 from 00102603 from sent18

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #764 from 00102603 from sent19

Text  : Za niezwrócone przedmioty , o których mowa w ust ._ 1_ ,_ strażak jest obowiązany uiścić równowartość według cen detalicznych obowiązujących w_ dniu rozliczenia za czas do końca okresu używalności przedmiotów ._
Tokens: 1_ 2__________ 3_________ 4 5 6______ 7___ 8 9__ 10 11 12 13_____ 14__ 15________ 16____ 17__________ 18____ 19_ 20__________ 21____________ 22 23__ 24_________ 25 26__ 27 28___ 29____ 30_________ 31_________ 32

Chunks:

(ChunkerEvaluator) Sentence #765 from 00102603 from sent20

Text  : § 20 . 1 .
Tokens: 1 2_ 3 4 5

Chunks:

(ChunkerEvaluator) Sentence #766 from 00102603 from sent21

Text  : Strażaka w służbie stałej lub przygotowawczej przenosi się do służby w_ innej jednostce organizacyjnej Państwowej Straży Pożarnej wraz z_ posiadanymi przedmiotami umundurowania ,_ odzieży specjalnej i_ ekwipunku osobistego ._
Tokens: 1_______ 2 3______ 4_____ 5__ 6______________ 7_______ 8__ 9_ 10____ 11 12___ 13_______ 14____________ 15________ 16____ 17______ 18__ 19 20_________ 21__________ 22___________ 23 24_____ 25________ 26 27_______ 28________ 29

Chunks:
  TruePositive nam [15,17] = Państwowej Straży Pożarnej (confidence=1.00)

(ChunkerEvaluator) Sentence #767 from 00102603 from sent22

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #768 from 00102603 from sent23

Text  : Jednostki organizacyjne Państwowej Straży Pożarnej , pomiędzy którymi następuje przeniesienie strażaka ,_ rozliczają między sobą niezamortyzowaną wartość przedmiotów odzieży specjalnej i_ ekwipunku osobistego ,_ za czas do końca okresu używalności ,_ a_ w_ przypadku przeniesienia strażaka w_ służbie przygotowawczej ,_ także umundurowania ._
Tokens: 1________ 2____________ 3_________ 4_____ 5_______ 6 7_______ 8______ 9________ 10___________ 11______ 12 13________ 14____ 15__ 16______________ 17_____ 18_________ 19_____ 20________ 21 22_______ 23________ 24 25 26__ 27 28___ 29____ 30_________ 31 32 33 34_______ 35___________ 36______ 37 38_____ 39_____________ 40 41___ 42___________ 43

Chunks:
  TruePositive nam [3,5] = Państwowej Straży Pożarnej (confidence=1.00)

(ChunkerEvaluator) Sentence #769 from 00102603 from sent24

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #770 from 00102603 from sent25

Text  : Strażak w służbie przygotowawczej w przypadku zwolnienia ze służby jest obowiązany zwrócić przedmioty umundurowania niebędące przedmiotami osobistego użytku ._
Tokens: 1______ 2 3______ 4______________ 5 6________ 7_________ 8_ 9_____ 10__ 11________ 12_____ 13________ 14___________ 15_______ 16__________ 17________ 18____ 19

Chunks:

(ChunkerEvaluator) Sentence #771 from 00102603 from sent26

Text  : Za niezwrócone przedmioty strażaka rozlicza się według zasad , o_ których mowa w_ §_ 17 ust ._ 4_ ._
Tokens: 1_ 2__________ 3_________ 4_______ 5_______ 6__ 7_____ 8____ 9 10 11_____ 12__ 13 14 15 16_ 17 18 19

Chunks:

(ChunkerEvaluator) Sentence #772 from 00102603 from sent27

Text  : 4 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #773 from 00102603 from sent28

Text  : Przepisów ust . 2 i 3 oraz § 19 nie stosuje się w_ przypadku śmierci strażaka ._
Tokens: 1________ 2__ 3 4 5 6 7___ 8 9_ 10_ 11_____ 12_ 13 14_______ 15_____ 16______ 17

Chunks:

2017-06-14 20:20:30,086 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 48 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102690.xml
(ChunkerEvaluator) Sentence #774 from 00102690 from sent1

Text  : dzień dobry , xxx , słucham
Tokens: 1____ 2____ 3 4__ 5 6______

Chunks:

(ChunkerEvaluator) Sentence #775 from 00102690 from sent2

Text  : dzień dobry pani , proszę panią , chciał em się taką rzecz spytać FILLER autobus linii pięćset czternaście niskopodłogowy FILLER FILLER do godziny dziewiątej FILLER z_ pętli FILLER Nowy Rembertów FILLER
Tokens: 1____ 2____ 3___ 4 5_____ 6____ 7 8_____ 9_ 10_ 11__ 12___ 13____ 14____ 15_____ 16___ 17_____ 18_________ 19____________ 20____ 21____ 22 23_____ 24________ 25____ 26 27___ 28____ 29__ 30_______ 31____

Chunks:
  TruePositive nam [29,30] = Nowy Rembertów (confidence=0.83)

(ChunkerEvaluator) Sentence #776 from 00102690 from sent3

Text  : FILLER tutaj z przystanku Nowy Rembertów
Tokens: 1_____ 2____ 3 4_________ 5___ 6________

Chunks:
  TruePositive nam [5,6] = Nowy Rembertów (confidence=0.99)

(ChunkerEvaluator) Sentence #777 from 00102690 from sent4

Text  : tak koło kościoła
Tokens: 1__ 2___ 3_______

Chunks:

(ChunkerEvaluator) Sentence #778 from 00102690 from sent5

Text  : dobrze Nowy Rembertów FILLER i od której pan życzył ?_
Tokens: 1_____ 2___ 3________ 4_____ 5 6_ 7_____ 8__ 9_____ 10

Chunks:
  TruePositive nam [2,3] = Nowy Rembertów (confidence=0.98)

(ChunkerEvaluator) Sentence #779 from 00102690 from sent6

Text  : FILLER do dziewiątej
Tokens: 1_____ 2_ 3_________

Chunks:

(ChunkerEvaluator) Sentence #780 from 00102690 from sent7

Text  : FILLER to jest tak , proszę pana , mamy ósma trzydzieści sześć ,_ jest niski
Tokens: 1_____ 2_ 3___ 4__ 5 6_____ 7___ 8 9___ 10__ 11_________ 12___ 13 14__ 15___

Chunks:

(ChunkerEvaluator) Sentence #781 from 00102690 from sent8

Text  : FILLER
Tokens: 1_____

Chunks:

(ChunkerEvaluator) Sentence #782 from 00102690 from sent9

Text  : ósma trzydzieści sześć i dziewiąta czterdzieści
Tokens: 1___ 2__________ 3____ 4 5________ 6___________

Chunks:

(ChunkerEvaluator) Sentence #783 from 00102690 from sent10

Text  : FILLER aha
Tokens: 1_____ 2__

Chunks:

(ChunkerEvaluator) Sentence #784 from 00102690 from sent11

Text  : rozumiem
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #785 from 00102690 from sent12

Text  : w kierunku
Tokens: 1 2_______

Chunks:

(ChunkerEvaluator) Sentence #786 from 00102690 from sent13

Text  : Centrum oczywiście
Tokens: 1______ 2_________

Chunks:

(ChunkerEvaluator) Sentence #787 from 00102690 from sent14

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #788 from 00102690 from sent15

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #789 from 00102690 from sent16

Text  : tak oczywiście
Tokens: 1__ 2_________

Chunks:

(ChunkerEvaluator) Sentence #790 from 00102690 from sent17

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #791 from 00102690 from sent18

Text  : a
Tokens: 1

Chunks:

(ChunkerEvaluator) Sentence #792 from 00102690 from sent19

Text  : ósma
Tokens: 1___

Chunks:

(ChunkerEvaluator) Sentence #793 from 00102690 from sent20

Text  : sto osiemdziesiąt trzy ?
Tokens: 1__ 2____________ 3___ 4

Chunks:

(ChunkerEvaluator) Sentence #794 from 00102690 from sent21

Text  : FILLER a sto osiemdziesiąt trzy już podaję . . ._
Tokens: 1_____ 2 3__ 4____________ 5___ 6__ 7_____ 8 9 10

Chunks:

(ChunkerEvaluator) Sentence #795 from 00102690 from sent22

Text  : FILLER a sto osiemdziesiąt trzy mamy , proszę pana ,_ ósma dwadzieścia sześć ,_ czyli nie mamy dziewiąta pięćdziesiąt osiem
Tokens: 1_____ 2 3__ 4____________ 5___ 6___ 7 8_____ 9___ 10 11__ 12_________ 13___ 14 15___ 16_ 17__ 18_______ 19__________ 20___

Chunks:

(ChunkerEvaluator) Sentence #796 from 00102690 from sent23

Text  : rozumiem , rozumiem , dziękuję pani uprzejmie
Tokens: 1_______ 2 3_______ 4 5_______ 6___ 7________

Chunks:

(ChunkerEvaluator) Sentence #797 from 00102690 from sent24

Text  : dziękuję panu
Tokens: 1_______ 2___

Chunks:

(ChunkerEvaluator) Sentence #798 from 00102690 from sent25

Text  : dziękuję się , do widzenia
Tokens: 1_______ 2__ 3 4_ 5_______

Chunks:

(ChunkerEvaluator) Sentence #799 from 00102690 from sent26

Text  : do , ja również , widzenia
Tokens: 1_ 2 3_ 4______ 5 6_______

Chunks:

2017-06-14 20:20:30,129 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 49 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103579.xml
(ChunkerEvaluator) Sentence #800 from 00103579 from sent1

Text  : Mówili , że w stanie hibernacji nie ma snów ._
Tokens: 1_____ 2 3_ 4 5_____ 6_________ 7__ 8_ 9___ 10

Chunks:

(ChunkerEvaluator) Sentence #801 from 00103579 from sent2

Text  : Nieprawda .
Tokens: 1________ 2

Chunks:

(ChunkerEvaluator) Sentence #802 from 00103579 from sent3

Text  : Śnię nieprzerwanie już setny rok .
Tokens: 1___ 2____________ 3__ 4____ 5__ 6

Chunks:

(ChunkerEvaluator) Sentence #803 from 00103579 from sent4

Text  : Wciąż te same sny …
Tokens: 1____ 2_ 3___ 4__ 5

Chunks:

(ChunkerEvaluator) Sentence #804 from 00103579 from sent5

Text  : * * *
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #805 from 00103579 from sent6

Text  : Sarkofag z daleka wydawał się mieć gładką , czarną ,_ opalizującą powierzchnię uformowaną przez zmyślnych inżynierów Akkadu w_ kształt nieforemnego motylego kokonu ._
Tokens: 1_______ 2 3_____ 4______ 5__ 6___ 7_____ 8 9_____ 10 11_________ 12__________ 13________ 14___ 15_______ 16________ 17____ 18 19_____ 20__________ 21______ 22____ 23

Chunks:
  TruePositive nam [17,17] = Akkadu (confidence=1.00)
  FalseNegative nam [1,1] = Sarkofag

(ChunkerEvaluator) Sentence #806 from 00103579 from sent7

Text  : Mknął teraz w przestrzeni z niewyobrażalną prędkością 0 , 1c ._
Tokens: 1____ 2____ 3 4__________ 5 6_____________ 7_________ 8 9 10 11

Chunks:

(ChunkerEvaluator) Sentence #807 from 00103579 from sent8

Text  : Ze śmieszną jak na kosmiczne odległości prędkością 0 , 1_ ._
Tokens: 1_ 2_______ 3__ 4_ 5________ 6_________ 7_________ 8 9 10 11

Chunks:

(ChunkerEvaluator) Sentence #808 from 00103579 from sent9

Text  : Setki silników jonowych nadawały mu pęd , włączając się na skrzyżowaniach gwiezdnych szlaków i_ przenosząc statek z_ trajektorii na trajektorię ._
Tokens: 1____ 2_______ 3_______ 4_______ 5_ 6__ 7 8________ 9__ 10 11____________ 12________ 13_____ 14 15________ 16____ 17 18_________ 19 20_________ 21

Chunks:

(ChunkerEvaluator) Sentence #809 from 00103579 from sent10

Text  : Przy masywnych gwiazdach pojazd rozpędzał się i z większą prędkością odchodził po łuku paraboli ,_ rozkręcony przez grawitację niczym kamień w_ procy sprytnego chłopca sprzed tysiąclecia (_ znanego obecnemu światu z_ jednego amatorskiego filmu i_ z_ dwóch wzmianek w_ ocalałej po Pożodze literaturze )_ ._
Tokens: 1___ 2________ 3________ 4_____ 5________ 6__ 7 8 9______ 10________ 11_______ 12 13__ 14______ 15 16________ 17___ 18________ 19____ 20____ 21 22___ 23_______ 24_____ 25____ 26_________ 27 28_____ 29______ 30____ 31 32_____ 33__________ 34___ 35 36 37___ 38______ 39 40______ 41 42_____ 43_________ 44 45

Chunks:

(ChunkerEvaluator) Sentence #810 from 00103579 from sent11

Text  : Z bliska Sarkofag wyglądał już mniej okazale .
Tokens: 1 2_____ 3_______ 4_______ 5__ 6____ 7______ 8

Chunks:
  TruePositive nam [3,3] = Sarkofag (confidence=0.98)

(ChunkerEvaluator) Sentence #811 from 00103579 from sent12

Text  : Szlachetna gładkość znikała i w jej miejsce ujawniały się chropowatości i_ nierówności pancerza zewnętrznego ._
Tokens: 1_________ 2_______ 3______ 4 5 6__ 7______ 8________ 9__ 10___________ 11 12_________ 13______ 14__________ 15

Chunks:

(ChunkerEvaluator) Sentence #812 from 00103579 from sent13

Text  : Radary , czujniki , wieżyczki obserwacyjne - - wszystko to wyrastało z_ licznych zgięć i_ załamań powierzchni bocznej ._
Tokens: 1_____ 2 3_______ 4 5________ 6___________ 7 8 9_______ 10 11_______ 12 13______ 14___ 15 16_____ 17_________ 18_____ 19

Chunks:

(ChunkerEvaluator) Sentence #813 from 00103579 from sent14

Text  : Niczym odnóża wielkiego robaka lub włoski na powierzchni jedwabnika setki anten ,_ wysięgników i_ luków to poruszały się w_ nieznanym celu ,_ to zastygały w_ bezruchu ._
Tokens: 1_____ 2_____ 3________ 4_____ 5__ 6_____ 7_ 8__________ 9_________ 10___ 11___ 12 13_________ 14 15___ 16 17_______ 18_ 19 20_______ 21__ 22 23 24_______ 25 26______ 27

Chunks:

(ChunkerEvaluator) Sentence #814 from 00103579 from sent15

Text  : Z daleka Sarkofag zdawał się milczący i martwy , z_ bliska odzywał się tysiącem elektromagnetycznych rozmów ,_ które rozmaitej maści i_ różnego przeznaczenia -_ boty toczyły między sobą ._
Tokens: 1 2_____ 3_______ 4_____ 5__ 6_______ 7 8_____ 9 10 11____ 12_____ 13_ 14______ 15__________________ 16____ 17 18___ 19_______ 20___ 21 22_____ 23___________ 24 25__ 26_____ 27____ 28__ 29

Chunks:
  TruePositive nam [3,3] = Sarkofag (confidence=1.00)

(ChunkerEvaluator) Sentence #815 from 00103579 from sent16

Text  : Jeden za drugim wychodziły na powierzchnię , by naprawić otoczkę uszkadzaną co rusz przez meteoryty i_ kosmiczne śmieci czy dokonać przeglądu ,_ w_ chwilę później zaś kryły się w_ ciepłym wnętrzu ._
Tokens: 1____ 2_ 3_____ 4_________ 5_ 6___________ 7 8_ 9_______ 10_____ 11________ 12 13__ 14___ 15_______ 16 17_______ 18____ 19_ 20_____ 21_______ 22 23 24____ 25_____ 26_ 27___ 28_ 29 30_____ 31_____ 32

Chunks:

(ChunkerEvaluator) Sentence #816 from 00103579 from sent17

Text  : Były jedynymi inteligentnymi istotami na tym okręcie – nie licząc ,_ oczywiście ,_ Śniącej oraz Piastunki ._
Tokens: 1___ 2_______ 3_____________ 4_______ 5_ 6__ 7______ 8 9__ 10____ 11 12________ 13 14_____ 15__ 16_______ 17

Chunks:
  TruePositive nam [14,14] = Śniącej (confidence=0.60)
  TruePositive nam [16,16] = Piastunki (confidence=1.00)

(ChunkerEvaluator) Sentence #817 from 00103579 from sent18

Text  : Statek utrzymywano w ciągłym stanie alarmowym .
Tokens: 1_____ 2__________ 3 4______ 5_____ 6________ 7

Chunks:

(ChunkerEvaluator) Sentence #818 from 00103579 from sent19

Text  : Jego zawartość była drogocenna .
Tokens: 1___ 2________ 3___ 4_________ 5

Chunks:

(ChunkerEvaluator) Sentence #819 from 00103579 from sent20

Text  : Strzegły jej pancerze ze stali , inteligentne systemy obronne ,_ lasery dział wycelowanych w_ całą czaszę firmamentu i_ bataliony bojowych robotów ._
Tokens: 1_______ 2__ 3_______ 4_ 5____ 6 7___________ 8______ 9______ 10 11____ 12___ 13__________ 14 15__ 16____ 17________ 18 19_______ 20______ 21_____ 22

Chunks:

(ChunkerEvaluator) Sentence #820 from 00103579 from sent21

Text  : Lotem zdalnie zarządzała Inana – centralny mózg - hybryda ._
Tokens: 1____ 2______ 3_________ 4____ 5 6________ 7___ 8 9______ 10

Chunks:
  TruePositive nam [4,4] = Inana (confidence=1.00)

(ChunkerEvaluator) Sentence #821 from 00103579 from sent22

Text  : Inana …
Tokens: 1____ 2

Chunks:
  FalseNegative nam [1,1] = Inana

(ChunkerEvaluator) Sentence #822 from 00103579 from sent23

Text  : Jej substrat strzeżony był przez Akkadian przed resztą świata jak najcenniejsza tajemnica ,_ jak wielki skarb ,_ jak woda pitna ,_ złoto lub miedź ._
Tokens: 1__ 2_______ 3________ 4__ 5____ 6_______ 7____ 8_____ 9_____ 10_ 11___________ 12_______ 13 14_ 15____ 16___ 17 18_ 19__ 20___ 21 22___ 23_ 24___ 25

Chunks:
  TruePositive nam [6,6] = Akkadian (confidence=1.00)

(ChunkerEvaluator) Sentence #823 from 00103579 from sent24

Text  : Tysiące komputerów , tysiące elektronicznych oczu , tysiąc mózgów strzegło snu Księżniczki ,_ podporządkowanych Inanie ._
Tokens: 1______ 2_________ 3 4______ 5______________ 6___ 7 8_____ 9_____ 10______ 11_ 12_________ 13 14_______________ 15____ 16

Chunks:
  TruePositive nam [12,12] = Księżniczki (confidence=0.88)
  TruePositive nam [15,15] = Inanie (confidence=0.98)

(ChunkerEvaluator) Sentence #824 from 00103579 from sent25

Text  : Sarkofag był jedną wielką maszyną , zarazem pojazdem i twierdzą ,_ domem ,_ okrętem i_ obronną wieżą ._
Tokens: 1_______ 2__ 3____ 4_____ 5______ 6 7______ 8_______ 9 10______ 11 12___ 13 14_____ 15 16_____ 17___ 18

Chunks:
  FalseNegative nam [1,1] = Sarkofag

(ChunkerEvaluator) Sentence #825 from 00103579 from sent26

Text  : Łożem zimy i kryjówką snów .
Tokens: 1____ 2___ 3 4_______ 5___ 6

Chunks:

(ChunkerEvaluator) Sentence #826 from 00103579 from sent27

Text  : Naga we śnie hibernacji spoczywała Alienor w najgłębszej komnacie swego metalicznego grobowca ._
Tokens: 1___ 2_ 3___ 4_________ 5_________ 6______ 7 8__________ 9_______ 10___ 11__________ 12______ 13

Chunks:
  TruePositive nam [6,6] = Alienor (confidence=0.93)

(ChunkerEvaluator) Sentence #827 from 00103579 from sent28

Text  : Od stu lat nie oddychała , od stu lat nie poruszyła się sama ,_ od lat stu nie doznała odmiany ._
Tokens: 1_ 2__ 3__ 4__ 5________ 6 7_ 8__ 9__ 10_ 11_______ 12_ 13__ 14 15 16_ 17_ 18_ 19_____ 20_____ 21

Chunks:

(ChunkerEvaluator) Sentence #828 from 00103579 from sent29

Text  : Inana otoczyła ją atmosferą z ciekłego helu .
Tokens: 1____ 2_______ 3_ 4________ 5 6_______ 7___ 8

Chunks:
  FalseNegative nam [1,1] = Inana

(ChunkerEvaluator) Sentence #829 from 00103579 from sent30

Text  : By nie miała odleżyn , delikatne manipulatory obracały jej sztywne ciało co ściśle określony przez algorytm i_ biologię czas ._
Tokens: 1_ 2__ 3____ 4______ 5 6________ 7___________ 8_______ 9__ 10_____ 11___ 12 13____ 14_______ 15___ 16______ 17 18______ 19__ 20

Chunks:

(ChunkerEvaluator) Sentence #830 from 00103579 from sent31

Text  : Czapeczka czujników oplatała jej nagą głowę .
Tokens: 1________ 2________ 3_______ 4__ 5___ 6____ 7

Chunks:

(ChunkerEvaluator) Sentence #831 from 00103579 from sent32

Text  : Naga leżała Alienor we wnętrzu księżycowego Sarkofagu .
Tokens: 1___ 2_____ 3______ 4_ 5______ 6___________ 7________ 8

Chunks:
  TruePositive nam [3,3] = Alienor (confidence=0.93)
  TruePositive nam [7,7] = Sarkofagu (confidence=0.99)

(ChunkerEvaluator) Sentence #832 from 00103579 from sent33

Text  : Beznamiętne oczy Inany muskały jej krągłości , jej piękne alabastrowe nogi ,_ kształtne ramiona i_ jędrne piersi ._
Tokens: 1__________ 2___ 3____ 4______ 5__ 6________ 7 8__ 9_____ 10_________ 11__ 12 13_______ 14_____ 15 16____ 17____ 18

Chunks:
  TruePositive nam [3,3] = Inany (confidence=0.84)

(ChunkerEvaluator) Sentence #833 from 00103579 from sent34

Text  : Złote włosy obcięły Alienor służki , nim wyruszyła z Miasta ,_ więc okryta tylko własną skórą leżała na łożu z_ helu w_ zimnych objęciach maszyn ._
Tokens: 1____ 2____ 3______ 4______ 5_____ 6 7__ 8________ 9 10____ 11 12__ 13____ 14___ 15____ 16___ 17____ 18 19__ 20 21__ 22 23_____ 24_______ 25____ 26

Chunks:
  FalsePositive nam [10,10] = Miasta (confidence=0.75) (incorrect boundry)
  FalseNegative nam [4,4] = Alienor

(ChunkerEvaluator) Sentence #834 from 00103579 from sent35

Text  : Jedynym śladem , że żyje , był nieśmiały rytm oscylacji fal REM na ekranach Komory Centralnej ._
Tokens: 1______ 2_____ 3 4_ 5___ 6 7__ 8________ 9___ 10_______ 11_ 12_ 13 14______ 15____ 16________ 17

Chunks:
  TruePositive nam [12,12] = REM (confidence=0.68)
  FalsePositive nam [15,16] = Komory Centralnej (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #835 from 00103579 from sent36

Text  : Inana , Siostra z Ur , była z tego wielce zadowolona ._
Tokens: 1____ 2 3______ 4 5_ 6 7___ 8 9___ 10____ 11________ 12

Chunks:
  TruePositive nam [5,5] = Ur (confidence=0.95)
  FalseNegative nam [1,1] = Inana

2017-06-14 20:20:30,270 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 50 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103582.xml
(ChunkerEvaluator) Sentence #836 from 00103582 from sent1

Text  : - A co czuł eś słysząc dzisiaj cover swojego utworu ?_
Tokens: 1 2 3_ 4___ 5_ 6______ 7______ 8____ 9______ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #837 from 00103582 from sent2

Text  : Adam uświadomił sobie , że z trudem rozpoznał „ Żenadę ”_ ._
Tokens: 1___ 2_________ 3____ 4 5_ 6 7_____ 8________ 9 10____ 11 12

Chunks:
  TruePositive nam [1,1] = Adam (confidence=0.97)
  TruePositive nam [10,10] = Żenadę (confidence=1.00)

(ChunkerEvaluator) Sentence #838 from 00103582 from sent3

Text  : W nowej aranżacji melodia brzmiała o wiele lepiej niż wersja Amnezji ,_ ale tekstem był ,_ zgodnie z_ tytułem ,_ zażenowany ._
Tokens: 1 2____ 3________ 4______ 5_______ 6 7____ 8_____ 9__ 10____ 11_____ 12 13_ 14_____ 15_ 16 17_____ 18 19_____ 20 21________ 22

Chunks:
  TruePositive nam [11,11] = Amnezji (confidence=0.98)

(ChunkerEvaluator) Sentence #839 from 00103582 from sent4

Text  : Po latach słowa piosenki w wykonaniu wokalisty Pinezek , wydały mu się rozpaczliwie naiwne ._
Tokens: 1_ 2_____ 3____ 4_______ 5 6________ 7________ 8______ 9 10____ 11 12_ 13__________ 14____ 15

Chunks:
  TruePositive nam [8,8] = Pinezek (confidence=0.99)

(ChunkerEvaluator) Sentence #840 from 00103582 from sent5

Text  : Pojęcia nie miał , przeciwko czemu był ten infantylny bunt ._
Tokens: 1______ 2__ 3___ 4 5________ 6____ 7__ 8__ 9_________ 10__ 11

Chunks:

(ChunkerEvaluator) Sentence #841 from 00103582 from sent6

Text  : Spotkanie z samym sobą po latach było o wiele gorsze niż oglądanie archiwalnych zdjęć ,_ na których prezentował sprężysty tors i_ twarz bez jednej zmarszczki ._
Tokens: 1________ 2 3____ 4___ 5_ 6_____ 7___ 8 9____ 10____ 11_ 12_______ 13__________ 14___ 15 16 17_____ 18_________ 19_______ 20__ 21 22___ 23_ 24____ 25________ 26

Chunks:

(ChunkerEvaluator) Sentence #842 from 00103582 from sent7

Text  : Starzejące się ciało akceptował bez problemu .
Tokens: 1_________ 2__ 3____ 4_________ 5__ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #843 from 00103582 from sent8

Text  : Zderzenie z dawnym stanem umysłu zawstydzało do bólu .
Tokens: 1________ 2 3_____ 4_____ 5_____ 6__________ 7_ 8___ 9

Chunks:

(ChunkerEvaluator) Sentence #844 from 00103582 from sent9

Text  : - Następne pytanie .
Tokens: 1 2_______ 3______ 4

Chunks:

(ChunkerEvaluator) Sentence #845 from 00103582 from sent10

Text  : - Dlaczego zawstydzało do bólu ?
Tokens: 1 2_______ 3__________ 4_ 5___ 6

Chunks:

(ChunkerEvaluator) Sentence #846 from 00103582 from sent11

Text  : - Następne pytanie ! ! !
Tokens: 1 2_______ 3______ 4 5 6

Chunks:

(ChunkerEvaluator) Sentence #847 from 00103582 from sent12

Text  : Nina była zaskoczona reakcja Smutnego .
Tokens: 1___ 2___ 3_________ 4______ 5_______ 6

Chunks:
  TruePositive nam [5,5] = Smutnego (confidence=0.78)
  FalseNegative nam [1,1] = Nina

(ChunkerEvaluator) Sentence #848 from 00103582 from sent13

Text  : Jeśli w czasie wywiadu pytanie było dla kogoś kłopotliwe ,_ zwykle zbywał je banałem ,_ kłamał albo obracał w_ żart ._
Tokens: 1____ 2 3_____ 4______ 5______ 6___ 7__ 8____ 9_________ 10 11____ 12____ 13 14_____ 15 16____ 17__ 18_____ 19 20__ 21

Chunks:

(ChunkerEvaluator) Sentence #849 from 00103582 from sent14

Text  : Kategoryczna odmowa zdarzała się niezwykle rzadko .
Tokens: 1___________ 2_____ 3_______ 4__ 5________ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #850 from 00103582 from sent15

Text  : Nina stosowała wtedy taktykę drążenia tematu aż do chwili ,_ w_ której rozmówca pęka i_ otwiera się lub reaguje neurotycznie ,_ ujawniając jakiś niespodziewany wątek ._
Tokens: 1___ 2________ 3____ 4______ 5_______ 6_____ 7_ 8_ 9_____ 10 11 12____ 13______ 14__ 15 16_____ 17_ 18_ 19_____ 20__________ 21 22________ 23___ 24____________ 25___ 26

Chunks:
  FalseNegative nam [1,1] = Nina

(ChunkerEvaluator) Sentence #851 from 00103582 from sent16

Text  : Oba warianty dawały często dobre rezultaty .
Tokens: 1__ 2_______ 3_____ 4_____ 5____ 6________ 7

Chunks:

(ChunkerEvaluator) Sentence #852 from 00103582 from sent17

Text  : W głosie Adama usłyszała jednak szczery ból , więc zmieniła temat ,_ łamiąc swoją doktrynę dokopywania się do ciekawych odpowiedzi ._
Tokens: 1 2_____ 3____ 4________ 5_____ 6______ 7__ 8 9___ 10______ 11___ 12 13____ 14___ 15______ 16_________ 17_ 18 19_______ 20________ 21

Chunks:
  TruePositive nam [3,3] = Adama (confidence=1.00)

(ChunkerEvaluator) Sentence #853 from 00103582 from sent18

Text  : - Kilka lat temu czytała m na jakimś forum ,_ że na twoją twórczość wpływ miała trauma dzieciństwa naznaczonego tragedią ?_
Tokens: 1 2____ 3__ 4___ 5______ 6 7_ 8_____ 9____ 10 11 12 13___ 14_______ 15___ 16___ 17____ 18_________ 19__________ 20______ 21

Chunks:

(ChunkerEvaluator) Sentence #854 from 00103582 from sent19

Text  : Możesz to potwierdzić ?
Tokens: 1_____ 2_ 3__________ 4

Chunks:

(ChunkerEvaluator) Sentence #855 from 00103582 from sent20

Text  : - Wyłącz to !
Tokens: 1 2_____ 3_ 4

Chunks:

(ChunkerEvaluator) Sentence #856 from 00103582 from sent21

Text  : - Adam wskazał dyktafon .
Tokens: 1 2___ 3______ 4_______ 5

Chunks:
  TruePositive nam [2,2] = Adam (confidence=1.00)

(ChunkerEvaluator) Sentence #857 from 00103582 from sent22

Text  : - Nie podoba mi się ta rozmowa .
Tokens: 1 2__ 3_____ 4_ 5__ 6_ 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #858 from 00103582 from sent23

Text  : - Nie denerwuj się tak .
Tokens: 1 2__ 3_______ 4__ 5__ 6

Chunks:

(ChunkerEvaluator) Sentence #859 from 00103582 from sent24

Text  : Wycofuję pytanie .
Tokens: 1_______ 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #860 from 00103582 from sent25

Text  : - Nic z tego nie będzie .
Tokens: 1 2__ 3 4___ 5__ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #861 from 00103582 from sent26

Text  : - Zależy mi - Nina zastosowała najsłodszy ze swoich uśmiechów ._
Tokens: 1 2_____ 3_ 4 5___ 6__________ 7_________ 8_ 9_____ 10_______ 11

Chunks:
  TruePositive nam [5,5] = Nina (confidence=0.97)

(ChunkerEvaluator) Sentence #862 from 00103582 from sent27

Text  : - Co chcesz za ten wywiad ?
Tokens: 1 2_ 3_____ 4_ 5__ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #863 from 00103582 from sent28

Text  : Adam był pewien , że uderzenia młota pod pokładem nagle przyśpieszyły ._
Tokens: 1___ 2__ 3_____ 4 5_ 6________ 7____ 8__ 9_______ 10___ 11___________ 12

Chunks:
  TruePositive nam [1,1] = Adam (confidence=1.00)

(ChunkerEvaluator) Sentence #864 from 00103582 from sent29

Text  : Spojrzał na Ninę z niedowierzaniem .
Tokens: 1_______ 2_ 3___ 4 5______________ 6

Chunks:
  TruePositive nam [3,3] = Ninę (confidence=0.97)

(ChunkerEvaluator) Sentence #865 from 00103582 from sent30

Text  : Przez chwilę zastanawiał się , co znaczą propozycja i kuszący uśmiech Niny ._
Tokens: 1____ 2_____ 3__________ 4__ 5 6_ 7_____ 8_________ 9 10_____ 11_____ 12__ 13

Chunks:
  TruePositive nam [12,12] = Niny (confidence=0.99)

(ChunkerEvaluator) Sentence #866 from 00103582 from sent31

Text  : Przypomniał sobie propozycję , którą kiedyś , po pijanemu sam przedstawił jednej z_ groupies ,_ czekających po koncercie Amnezji pod garderobą ._
Tokens: 1__________ 2____ 3_________ 4 5____ 6_____ 7 8_ 9_______ 10_ 11_________ 12____ 13 14______ 15 16_________ 17 18_______ 19_____ 20_ 21_______ 22

Chunks:
  TruePositive nam [19,19] = Amnezji (confidence=0.97)

(ChunkerEvaluator) Sentence #867 from 00103582 from sent32

Text  : - Zgoda , jeśli dasz mi swoją bluzkę .
Tokens: 1 2____ 3 4____ 5___ 6_ 7____ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #868 from 00103582 from sent33

Text  : Teraz !
Tokens: 1____ 2

Chunks:

(ChunkerEvaluator) Sentence #869 from 00103582 from sent34

Text  : Nina nie roześmiała się .
Tokens: 1___ 2__ 3_________ 4__ 5

Chunks:
  FalseNegative nam [1,1] = Nina

(ChunkerEvaluator) Sentence #870 from 00103582 from sent35

Text  : Adam był pewien , że za chwilę co najmniej przestanie go kokietować ._
Tokens: 1___ 2__ 3_____ 4 5_ 6_ 7_____ 8_ 9_______ 10________ 11 12________ 13

Chunks:
  TruePositive nam [1,1] = Adam (confidence=1.00)

(ChunkerEvaluator) Sentence #871 from 00103582 from sent36

Text  : W wariancie pesymistycznym powinien dostać w twarz .
Tokens: 1 2________ 3_____________ 4_______ 5_____ 6 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #872 from 00103582 from sent37

Text  : Nie zdawał sobie jednak sprawy , że zignorował nie tylko trzy kolejne ,_ coraz bardziej zaawansowane wersje Windowsa ,_ ale także dekadę rozwoju emancypacji ._
Tokens: 1__ 2_____ 3____ 4_____ 5_____ 6 7_ 8_________ 9__ 10___ 11__ 12_____ 13 14___ 15______ 16__________ 17____ 18______ 19 20_ 21___ 22____ 23_____ 24_________ 25

Chunks:
  TruePositive nam [18,18] = Windowsa (confidence=0.98)

(ChunkerEvaluator) Sentence #873 from 00103582 from sent38

Text  : Kompletnie stracił wyczucie , do czego jest zdolna zdesperowana ,_ pozbawiona zahamowań trzydziestolatka ._
Tokens: 1_________ 2______ 3_______ 4 5_ 6____ 7___ 8_____ 9___________ 10 11________ 12_______ 13______________ 14

Chunks:

(ChunkerEvaluator) Sentence #874 from 00103582 from sent39

Text  : - Nie ma sprawy .
Tokens: 1 2__ 3_ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #875 from 00103582 from sent40

Text  : Tutaj ? - zapytała Nina chwytając czarnymi paznokciami suwak zamka swojej kusej kurteczki ._
Tokens: 1____ 2 3 4_______ 5___ 6________ 7_______ 8__________ 9____ 10___ 11____ 12___ 13_______ 14

Chunks:
  TruePositive nam [5,5] = Nina (confidence=0.65)

(ChunkerEvaluator) Sentence #876 from 00103582 from sent41

Text  : - Trochę zimno , ale w zasadzie …
Tokens: 1 2_____ 3____ 4 5__ 6 7_______ 8

Chunks:

(ChunkerEvaluator) Sentence #877 from 00103582 from sent42

Text  : Nie ma złego miejsca na zaliczenie eks - gwiazdy ._
Tokens: 1__ 2_ 3____ 4______ 5_ 6_________ 7__ 8 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #878 from 00103582 from sent43

Text  : - Chwileczkę !
Tokens: 1 2_________ 3

Chunks:

(ChunkerEvaluator) Sentence #879 from 00103582 from sent44

Text  : - Adam nie wierzył , że Nina gotowa jest zrobić striptiz ,_ ale i_ tak przestraszył się ofertą ._
Tokens: 1 2___ 3__ 4______ 5 6_ 7___ 8_____ 9___ 10____ 11______ 12 13_ 14 15_ 16__________ 17_ 18____ 19

Chunks:
  TruePositive nam [2,2] = Adam (confidence=1.00)
  TruePositive nam [7,7] = Nina (confidence=0.79)

(ChunkerEvaluator) Sentence #880 from 00103582 from sent45

Text  : - Mówił em tylko o bluzce .
Tokens: 1 2____ 3_ 4____ 5 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #881 from 00103582 from sent46

Text  : Nina zawsze dziwiła się , jak łatwo mężczyźni wierzyli ,_ że dorosła kobieta jest w_ stanie zrobić dla nich coś szalonego ,_ nie dostając nawet obietnicy czegoś istotnego w_ zamian ._
Tokens: 1___ 2_____ 3______ 4__ 5 6__ 7____ 8________ 9_______ 10 11 12_____ 13_____ 14__ 15 16____ 17____ 18_ 19__ 20_ 21_______ 22 23_ 24______ 25___ 26_______ 27____ 28_______ 29 30____ 31

Chunks:
  FalseNegative nam [1,1] = Nina

(ChunkerEvaluator) Sentence #882 from 00103582 from sent47

Text  : Ta łatwość , z jaką można było nimi manipulować ,_ była aż zabawna ._
Tokens: 1_ 2______ 3 4 5___ 6____ 7___ 8___ 9__________ 10 11__ 12 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #883 from 00103582 from sent48

Text  : Nina wolała by żyć w przeświadczeniu , że ten gatunek jest bardziej skomplikowany ._
Tokens: 1___ 2_____ 3_ 4__ 5 6______________ 7 8_ 9__ 10_____ 11__ 12______ 13___________ 14

Chunks:
  FalseNegative nam [1,1] = Nina

(ChunkerEvaluator) Sentence #884 from 00103582 from sent49

Text  : Odkrył w końcu Teorię Względności , nakręcił „ Ojca Chrzestnego ”_ i_ przeprowadził swój naród przez Morze Czerwone ._
Tokens: 1_____ 2 3____ 4_____ 5__________ 6 7_______ 8 9___ 10_________ 11 12 13___________ 14__ 15___ 16___ 17___ 18______ 19

Chunks:
  TruePositive nam [9,10] = Ojca Chrzestnego (confidence=1.00)
  TruePositive nam [17,18] = Morze Czerwone (confidence=1.00)
  FalsePositive nam [4,5] = Teorię Względności (confidence=0.98) (incorrect boundry)

(ChunkerEvaluator) Sentence #885 from 00103582 from sent50

Text  : Skoro jednak mężczyźni byli prostsi , a ona znała już kilka trików ,_ dzięki którym można facetami sterować ,_ żal było by z_ nich nie skorzystać ._
Tokens: 1____ 2_____ 3________ 4___ 5______ 6 7 8__ 9____ 10_ 11___ 12____ 13 14____ 15____ 16___ 17______ 18______ 19 20_ 21__ 22 23 24__ 25_ 26________ 27

Chunks:

(ChunkerEvaluator) Sentence #886 from 00103582 from sent51

Text  : Wielokrotnie posługiwała się nimi w pracy i już dawno doszła do wniosku ,_ że dziennikarkami powinny zostawać nimfomanki ._
Tokens: 1___________ 2__________ 3__ 4___ 5 6____ 7 8__ 9____ 10____ 11 12_____ 13 14 15____________ 16_____ 17______ 18________ 19

Chunks:

(ChunkerEvaluator) Sentence #887 from 00103582 from sent52

Text  : Aż dziwne , że nie znała żadnej .
Tokens: 1_ 2_____ 3 4_ 5__ 6____ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #888 from 00103582 from sent53

Text  : Nie było innej profesji , której uprawianie pozwalało podchodzić do każdego mężczyzny ,_ zadawać mu dowolnie zuchwałe pytanie ,_ gonić po korytarzu ,_ dzwonić o_ każdej porze ,_ robić zdjęcia i_ udawać ,_ że to dla wywiadu pójdzie z_ nim do łóżka ._
Tokens: 1__ 2___ 3____ 4_______ 5 6_____ 7_________ 8________ 9_________ 10 11_____ 12_______ 13 14_____ 15 16______ 17______ 18_____ 19 20___ 21 22_______ 23 24_____ 25 26____ 27___ 28 29___ 30_____ 31 32____ 33 34 35 36_ 37_____ 38_____ 39 40_ 41 42___ 43

Chunks:

2017-06-14 20:20:30,435 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 51 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103584.xml
(ChunkerEvaluator) Sentence #889 from 00103584 from sent1

Text  : – Jestem – odezwał się Lukas .
Tokens: 1 2_____ 3 4______ 5__ 6____ 7

Chunks:
  TruePositive nam [6,6] = Lukas (confidence=1.00)

(ChunkerEvaluator) Sentence #890 from 00103584 from sent2

Text  : – Siadaj – Hoffman poruszył się gwałtownie .
Tokens: 1 2_____ 3 4______ 5_______ 6__ 7_________ 8

Chunks:
  TruePositive nam [4,4] = Hoffman (confidence=1.00)

(ChunkerEvaluator) Sentence #891 from 00103584 from sent3

Text  : – Nadeszła pora , żeby kończyć tę zabawę .
Tokens: 1 2_______ 3___ 4 5___ 6______ 7_ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #892 from 00103584 from sent4

Text  : Nie sądzisz ?
Tokens: 1__ 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #893 from 00103584 from sent5

Text  : – Nie jestem od sądzenia – odpowiedział siadając na fotelu ._
Tokens: 1 2__ 3_____ 4_ 5_______ 6 7___________ 8_______ 9_ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #894 from 00103584 from sent6

Text  : W dniu nasilenia się kolejnych fali strajków słowo “ zabawa ”_ wypowiedziane w_ tym gabiniecie brzmiało groźnie ._
Tokens: 1 2___ 3________ 4__ 5________ 6___ 7_______ 8____ 9 10____ 11 12___________ 13 14_ 15________ 16______ 17_____ 18

Chunks:

(ChunkerEvaluator) Sentence #895 from 00103584 from sent7

Text  : Domyślał się , po co został wezwany , ale nie zamierzał niczego Hoffmanowi ułatwiać ._
Tokens: 1_______ 2__ 3 4_ 5_ 6_____ 7______ 8 9__ 10_ 11_______ 12_____ 13________ 14______ 15

Chunks:
  TruePositive nam [13,13] = Hoffmanowi (confidence=0.98)

(ChunkerEvaluator) Sentence #896 from 00103584 from sent8

Text  : Chłód sączący się z całej postaci szefa wbijał go coraz mocniej w_ fotel ._
Tokens: 1____ 2______ 3__ 4 5____ 6______ 7____ 8_____ 9_ 10___ 11_____ 12 13___ 14

Chunks:

(ChunkerEvaluator) Sentence #897 from 00103584 from sent9

Text  : Zamknął oczy .
Tokens: 1______ 2___ 3

Chunks:

(ChunkerEvaluator) Sentence #898 from 00103584 from sent10

Text  : Próbował wyobrazić sobie , jak nagle rozpędza się , biegnie prosto na szklaną ścianę ,_ w_ ostatniej chwili przed zderzeniem odwraca się do niej plecami i_ lecąc w_ dół ,_ razem z_ pękniętą szybą ,_ przygląda się przerażonej twarzy Hoffmana ._
Tokens: 1_______ 2________ 3____ 4 5__ 6____ 7_______ 8__ 9 10_____ 11____ 12 13_____ 14____ 15 16 17_______ 18____ 19___ 20________ 21_____ 22_ 23 24__ 25_____ 26 27___ 28 29_ 30 31___ 32 33______ 34___ 35 36_______ 37_ 38_________ 39____ 40______ 41

Chunks:
  TruePositive nam [40,40] = Hoffmana (confidence=1.00)

(ChunkerEvaluator) Sentence #899 from 00103584 from sent11

Text  : Gdy otworzył oczy , zobaczył starego , zmęczonego człowieka ,_ wymagającego bardziej litości niż zemsty ._
Tokens: 1__ 2_______ 3___ 4 5_______ 6______ 7 8_________ 9________ 10 11__________ 12______ 13_____ 14_ 15____ 16

Chunks:

(ChunkerEvaluator) Sentence #900 from 00103584 from sent12

Text  : – Poczekajmy jeszcze , to nie jest dobry moment –_ powiedział po chwili milczenia ._
Tokens: 1 2_________ 3______ 4 5_ 6__ 7___ 8____ 9_____ 10 11________ 12 13____ 14_______ 15

Chunks:

(ChunkerEvaluator) Sentence #901 from 00103584 from sent13

Text  : – Na co mamy czekać ! – krzyknął Hoffman ._
Tokens: 1 2_ 3_ 4___ 5_____ 6 7 8_______ 9______ 10

Chunks:
  TruePositive nam [9,9] = Hoffman (confidence=1.00)

(ChunkerEvaluator) Sentence #902 from 00103584 from sent14

Text  : – Trzeba wszystkich pozamykać .
Tokens: 1 2_____ 3_________ 4________ 5

Chunks:

(ChunkerEvaluator) Sentence #903 from 00103584 from sent15

Text  : Natychmiast !
Tokens: 1__________ 2

Chunks:

(ChunkerEvaluator) Sentence #904 from 00103584 from sent16

Text  : Weź z sejfu instrukcję i przekaż Pazanowi .
Tokens: 1__ 2 3____ 4_________ 5 6______ 7_______ 8

Chunks:
  TruePositive nam [7,7] = Pazanowi (confidence=0.99)

(ChunkerEvaluator) Sentence #905 from 00103584 from sent17

Text  : Lukas dobrze wiedział , że jest to jedyna droga do stłumienia buntów ,_ że część tego zadania spada na niego i_ została by wykonana także wtedy ,_ gdyby odmówił wykonania polecenia ,_ przeszedł od jutra na rentę ,_ został rozstrzelany za dezercję ,_ albo wyskoczył przez okno z_ gabinetu Hoffmana ._
Tokens: 1____ 2_____ 3_______ 4 5_ 6___ 7_ 8_____ 9____ 10 11________ 12____ 13 14 15___ 16__ 17_____ 18___ 19 20___ 21 22_____ 23 24______ 25___ 26___ 27 28___ 29_____ 30_______ 31_______ 32 33_______ 34 35___ 36 37___ 38 39____ 40__________ 41 42______ 43 44__ 45_______ 46___ 47__ 48 49______ 50______ 51

Chunks:
  TruePositive nam [50,50] = Hoffmana (confidence=1.00)
  FalseNegative nam [1,1] = Lukas

(ChunkerEvaluator) Sentence #906 from 00103584 from sent18

Text  : Tylko po to , aby nie mieć sobie nic do zarzucenia ,_ zaatakował jeszcze raz :_
Tokens: 1____ 2_ 3_ 4 5__ 6__ 7___ 8____ 9__ 10 11________ 12 13________ 14_____ 15_ 16

Chunks:

(ChunkerEvaluator) Sentence #907 from 00103584 from sent19

Text  : – Jeżeli zakończymy akcję teraz , to będzie oznaczać ,_ że była ona niepotrzebna ,_ a_ nawet szkodliwa ._
Tokens: 1 2_____ 3_________ 4____ 5____ 6 7_ 8_____ 9_______ 10 11 12__ 13_ 14__________ 15 16 17___ 18_______ 19

Chunks:

(ChunkerEvaluator) Sentence #908 from 00103584 from sent20

Text  : Dali śmy szansę naszym przeciwnikom , a to , co chcieli śmy uzyskać ,_ nie udało się –_ Lukas usiłował ekscytować się logiką swoich nieszczerych wywodów ._
Tokens: 1___ 2__ 3_____ 4_____ 5___________ 6 7 8_ 9 10 11_____ 12_ 13_____ 14 15_ 16___ 17_ 18 19___ 20______ 21________ 22_ 23____ 24____ 25__________ 26_____ 27

Chunks:
  TruePositive nam [19,19] = Lukas (confidence=0.97)

(ChunkerEvaluator) Sentence #909 from 00103584 from sent21

Text  : – Społeczeństwo jest nadal pasywne , nie wyzwolili śmy proegalitarnej aktywności ,_ która ._ ._ ._
Tokens: 1 2____________ 3___ 4____ 5______ 6 7__ 8________ 9__ 10____________ 11________ 12 13___ 14 15 16

Chunks:

(ChunkerEvaluator) Sentence #910 from 00103584 from sent22

Text  : – Aktywności motłochu mamy aż za dużo .
Tokens: 1 2_________ 3_______ 4___ 5_ 6_ 7___ 8

Chunks:

(ChunkerEvaluator) Sentence #911 from 00103584 from sent23

Text  : Czy ty nie rozumiesz do cholery , że tracimy resztki poparcia !_ ?_
Tokens: 1__ 2_ 3__ 4________ 5_ 6______ 7 8_ 9______ 10_____ 11______ 12 13

Chunks:

(ChunkerEvaluator) Sentence #912 from 00103584 from sent24

Text  : Dla jednych jesteśmy za mało liberalni , dla drugich ,_ i_ to ważniejszych ,_ za mało twardzi ._
Tokens: 1__ 2______ 3_______ 4_ 5___ 6________ 7 8__ 9______ 10 11 12 13__________ 14 15 16__ 17_____ 18

Chunks:

(ChunkerEvaluator) Sentence #913 from 00103584 from sent25

Text  : Hoffman przerwał , przeszedł kilka metrów wzłuż przeszklonej ściany i_ nagle przystanął :_
Tokens: 1______ 2_______ 3 4________ 5____ 6_____ 7____ 8___________ 9_____ 10 11___ 12________ 13

Chunks:
  TruePositive nam [1,1] = Hoffman (confidence=0.73)

(ChunkerEvaluator) Sentence #914 from 00103584 from sent26

Text  : – Już wiem !
Tokens: 1 2__ 3___ 4

Chunks:

(ChunkerEvaluator) Sentence #915 from 00103584 from sent27

Text  : Tobie żal tych kurewskich gnojków , chciał by ś ich tak w_ nieskończoność obserwować ,_ jak laboratoryjne zwierzątka ,_ bezbronne i_ niewinne ._
Tokens: 1____ 2__ 3___ 4_________ 5______ 6 7_____ 8_ 9 10_ 11_ 12 13____________ 14________ 15 16_ 17___________ 18________ 19 20_______ 21 22______ 23

Chunks:

(ChunkerEvaluator) Sentence #916 from 00103584 from sent28

Text  : Polubił eś ich , co ?
Tokens: 1______ 2_ 3__ 4 5_ 6

Chunks:

(ChunkerEvaluator) Sentence #917 from 00103584 from sent29

Text  : Przyznaj się .
Tokens: 1_______ 2__ 3

Chunks:

(ChunkerEvaluator) Sentence #918 from 00103584 from sent30

Text  : – To tylko litość – skłamał Lukas .
Tokens: 1 2_ 3____ 4_____ 5 6______ 7____ 8

Chunks:
  TruePositive nam [7,7] = Lukas (confidence=1.00)

(ChunkerEvaluator) Sentence #919 from 00103584 from sent31

Text  : Prawda była by dla Hoffmana bardziej przykra .
Tokens: 1_____ 2___ 3_ 4__ 5_______ 6_______ 7______ 8

Chunks:
  TruePositive nam [5,5] = Hoffmana (confidence=1.00)

(ChunkerEvaluator) Sentence #920 from 00103584 from sent32

Text  : Lukas im zazdrościł .
Tokens: 1____ 2_ 3_________ 4

Chunks:
  TruePositive nam [1,1] = Lukas (confidence=0.73)

(ChunkerEvaluator) Sentence #921 from 00103584 from sent33

Text  : Teraz , w gabinecie Hoffmana , uświadomił to sobie z_ całą ostrością ._
Tokens: 1____ 2 3 4________ 5_______ 6 7_________ 8_ 9____ 10 11__ 12_______ 13

Chunks:
  TruePositive nam [5,5] = Hoffmana (confidence=1.00)

(ChunkerEvaluator) Sentence #922 from 00103584 from sent34

Text  : Grał jednak dalej :
Tokens: 1___ 2_____ 3____ 4

Chunks:

(ChunkerEvaluator) Sentence #923 from 00103584 from sent35

Text  : – To jest fascynujące , ile oni mają entuzjazmu dla tej swojej utopii ._
Tokens: 1 2_ 3___ 4__________ 5 6__ 7__ 8___ 9_________ 10_ 11_ 12____ 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #924 from 00103584 from sent36

Text  : Działają . . .
Tokens: 1_______ 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #925 from 00103584 from sent37

Text  : – Lukas zawahał się – właściwie bezinteresownie .
Tokens: 1 2____ 3______ 4__ 5 6________ 7______________ 8

Chunks:
  TruePositive nam [2,2] = Lukas (confidence=0.94)

2017-06-14 20:20:30,552 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 52 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103592.xml
(ChunkerEvaluator) Sentence #926 from 00103592 from sent1

Text  : Jak to jest ?
Tokens: 1__ 2_ 3___ 4

Chunks:

(ChunkerEvaluator) Sentence #927 from 00103592 from sent2

Text  : Pewnego dnia budzicie się z silnym kołataniem serca , zrywacie się z_ łóżka i_ przecieracie twarz ,_ po której przelatuje wyraz niepewności i_ strachu ,_ żeby wieczorem nie móc zasnąć z_ powodu wielkiej pustki i_ niewiadomej ._
Tokens: 1______ 2___ 3_______ 4__ 5 6_____ 7_________ 8____ 9 10______ 11_ 12 13___ 14 15__________ 16___ 17 18 19____ 20________ 21___ 22_________ 23 24_____ 25 26__ 27_______ 28_ 29_ 30____ 31 32____ 33______ 34____ 35 36_________ 37

Chunks:

(ChunkerEvaluator) Sentence #928 from 00103592 from sent3

Text  : Jak to jest , że jednego razu trawi was wielkie zmartwienie ,_ a_ drugim wielkie zdziwienie ?_
Tokens: 1__ 2_ 3___ 4 5_ 6______ 7___ 8____ 9__ 10_____ 11_________ 12 13 14____ 15_____ 16________ 17

Chunks:

(ChunkerEvaluator) Sentence #929 from 00103592 from sent4

Text  : Jak to jest , że troski o ważną dla was osobę nie dają wam żyć ,_ a_ później dowiadujecie się ,_ że zadajecie jej ból ,_ który rani jej uczucia ?_
Tokens: 1__ 2_ 3___ 4 5_ 6_____ 7 8____ 9__ 10_ 11___ 12_ 13__ 14_ 15_ 16 17 18_____ 19__________ 20_ 21 22 23_______ 24_ 25_ 26 27___ 28__ 29_ 30_____ 31

Chunks:

(ChunkerEvaluator) Sentence #930 from 00103592 from sent5

Text  : Jak to jest , że godzinami rozmyślacie o drugiej osobie ,_ a_ później na skutek nieporozumienia ona mówi wam ,_ żeby ście przemyśleli jakąś sprawę ?_
Tokens: 1__ 2_ 3___ 4 5_ 6________ 7__________ 8 9______ 10____ 11 12 13_____ 14 15____ 16_____________ 17_ 18__ 19_ 20 21__ 22__ 23_________ 24___ 25____ 26

Chunks:

(ChunkerEvaluator) Sentence #931 from 00103592 from sent6

Text  : Jak to jest , że przez tygodnie staracie się budować związek ,_ aby w_ ciągu kilku minut spora jego część uległa zniszczeniu ?_
Tokens: 1__ 2_ 3___ 4 5_ 6____ 7_______ 8_______ 9__ 10_____ 11_____ 12 13_ 14 15___ 16___ 17___ 18___ 19__ 20___ 21____ 22_________ 23

Chunks:

(ChunkerEvaluator) Sentence #932 from 00103592 from sent7

Text  : Jak to jest , że rozmawiacie godzinami o niełatwych sprawach ,_ aby później w_ kilku zdaniach pokłócić się ,_ roztrząsając z_ pozoru banalne kwestie ?_
Tokens: 1__ 2_ 3___ 4 5_ 6__________ 7________ 8 9_________ 10______ 11 12_ 13_____ 14 15___ 16______ 17______ 18_ 19 20__________ 21 22____ 23_____ 24_____ 25

Chunks:

(ChunkerEvaluator) Sentence #933 from 00103592 from sent8

Text  : Jak to jest ?
Tokens: 1__ 2_ 3___ 4

Chunks:

(ChunkerEvaluator) Sentence #934 from 00103592 from sent9

Text  : Niekiedy wydaje się , że troski z jednej do drugiej osoby przechodzą niczym odbijająca się piłeczka pingpongowa ._
Tokens: 1_______ 2_____ 3__ 4 5_ 6_____ 7 8_____ 9_ 10_____ 11___ 12________ 13____ 14________ 15_ 16______ 17_________ 18

Chunks:

(ChunkerEvaluator) Sentence #935 from 00103592 from sent10

Text  : Gdy czujecie , że przegrywacie pod naporem przygniatających was problemów i_ niejasności ,_ staracie się za wszelką cenę ich pozbyć ,_ znaleźć rozwiązanie ._
Tokens: 1__ 2_______ 3 4_ 5___________ 6__ 7______ 8_______________ 9__ 10_______ 11 12_________ 13 14______ 15_ 16 17_____ 18__ 19_ 20____ 21 22_____ 23_________ 24

Chunks:

(ChunkerEvaluator) Sentence #936 from 00103592 from sent11

Text  : Ale tym samym piłeczka wędruje do waszego towarzysza i ,_ choć jesteście pozornie wolni ,_ zaczynacie znów ,_ podczas rozwiewania jego trosk ,_ przyciągać na siebie kolejne fale nieszczęść ._
Tokens: 1__ 2__ 3____ 4_______ 5______ 6_ 7______ 8_________ 9 10 11__ 12_______ 13______ 14___ 15 16________ 17__ 18 19_____ 20_________ 21__ 22___ 23 24________ 25 26____ 27_____ 28__ 29________ 30

Chunks:

(ChunkerEvaluator) Sentence #937 from 00103592 from sent12

Text  : Ciągłe uwijanie się .
Tokens: 1_____ 2_______ 3__ 4

Chunks:

(ChunkerEvaluator) Sentence #938 from 00103592 from sent13

Text  : Walka .
Tokens: 1____ 2

Chunks:

(ChunkerEvaluator) Sentence #939 from 00103592 from sent14

Text  : Wysiłek .
Tokens: 1______ 2

Chunks:

(ChunkerEvaluator) Sentence #940 from 00103592 from sent15

Text  : I do czego was , i do czego nas to prowadzi ?_
Tokens: 1 2_ 3____ 4__ 5 6 7_ 8____ 9__ 10 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #941 from 00103592 from sent16

Text  : Do wymiany ?
Tokens: 1_ 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #942 from 00103592 from sent17

Text  : Do starej zasady " oko za oko " ?
Tokens: 1_ 2_____ 3_____ 4 5__ 6_ 7__ 8 9

Chunks:

(ChunkerEvaluator) Sentence #943 from 00103592 from sent18

Text  : Stop .
Tokens: 1___ 2

Chunks:

(ChunkerEvaluator) Sentence #944 from 00103592 from sent19

Text  : Odpocznijmy .
Tokens: 1__________ 2

Chunks:

(ChunkerEvaluator) Sentence #945 from 00103592 from sent20

Text  : Zastanówmy się , czy oby to , co chcemy wiedzieć ,_ co chcemy powiedzieć ,_ jest konieczne do naszego szczęścia ._
Tokens: 1_________ 2__ 3 4__ 5__ 6_ 7 8_ 9_____ 10______ 11 12 13____ 14________ 15 16__ 17_______ 18 19_____ 20_______ 21

Chunks:

(ChunkerEvaluator) Sentence #946 from 00103592 from sent21

Text  : Wiele bowiem razy różnymi komentarzami i uwagami możemy sprawić komuś przykrość ,_ nawet o_ tym nie wiedząc ._
Tokens: 1____ 2_____ 3___ 4______ 5___________ 6 7______ 8_____ 9______ 10___ 11_______ 12 13___ 14 15_ 16_ 17_____ 18

Chunks:

(ChunkerEvaluator) Sentence #947 from 00103592 from sent22

Text  : Zostawmy więc te niesnaski , tę niemądrą wymianę zdań ,_ rywalizację ._
Tokens: 1_______ 2___ 3_ 4________ 5 6_ 7_______ 8______ 9___ 10 11_________ 12

Chunks:

(ChunkerEvaluator) Sentence #948 from 00103592 from sent23

Text  : Głęboko wierzę , że szczerość i prawda , jakiekolwiek by nie były ,_ to w_ relacjach międzyludzkich podstawowe filary ._
Tokens: 1______ 2_____ 3 4_ 5________ 6 7_____ 8 9___________ 10 11_ 12__ 13 14 15 16_______ 17____________ 18________ 19____ 20

Chunks:

(ChunkerEvaluator) Sentence #949 from 00103592 from sent24

Text  : Może budują obraz bez upiększeń , ale z głębokim nasyceniem barw ,_ znakomitym kontrastem i_ wyrazistymi konturami ._
Tokens: 1___ 2_____ 3____ 4__ 5________ 6 7__ 8 9_______ 10________ 11__ 12 13________ 14________ 15 16_________ 17_______ 18

Chunks:

(ChunkerEvaluator) Sentence #950 from 00103592 from sent25

Text  : Wolicie barwne otoczki i pstrokate ozdobniki ?
Tokens: 1______ 2_____ 3______ 4 5________ 6________ 7

Chunks:

(ChunkerEvaluator) Sentence #951 from 00103592 from sent26

Text  : Wasza rzecz .
Tokens: 1____ 2____ 3

Chunks:

(ChunkerEvaluator) Sentence #952 from 00103592 from sent27

Text  : Nie zapominajcie jednak , że każdy z nas niesie obraz samego siebie ._
Tokens: 1__ 2___________ 3_____ 4 5_ 6____ 7 8__ 9_____ 10___ 11____ 12____ 13

Chunks:

(ChunkerEvaluator) Sentence #953 from 00103592 from sent28

Text  : I nie jest to obraz ukończony .
Tokens: 1 2__ 3___ 4_ 5____ 6________ 7

Chunks:

(ChunkerEvaluator) Sentence #954 from 00103592 from sent29

Text  : A efekt końcowy zależy nie tylko od nas , ale również od ludzi ,_ z_ którymi się spotykamy ,_ z_ którymi żyjemy i_ których kochamy ._
Tokens: 1 2____ 3______ 4_____ 5__ 6____ 7_ 8__ 9 10_ 11_____ 12 13___ 14 15 16_____ 17_ 18_______ 19 20 21_____ 22____ 23 24_____ 25_____ 26

Chunks:

(ChunkerEvaluator) Sentence #955 from 00103592 from sent30

Text  : Pomagajmy więc sobie nawzajem w kreowaniu autentycznych dzieł sztuki ._
Tokens: 1________ 2___ 3____ 4_______ 5 6________ 7____________ 8____ 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #956 from 00103592 from sent31

Text  : I między ponure i przeraźliwe sceny wprowadźmy co nieco słońca ._
Tokens: 1 2_____ 3_____ 4 5__________ 6____ 7_________ 8_ 9____ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #957 from 00103592 from sent32

Text  : Z czasem się przekonamy , że wspólnie namalowany obraz nie będzie miał śladów po odbijającej się od niego piłeczce pingpongowej ,_ ale wyłącznie delikatne smugi łagodnie i_ majestatycznie pociąganego pędzla ._
Tokens: 1 2_____ 3__ 4_________ 5 6_ 7_______ 8_________ 9____ 10_ 11____ 12__ 13____ 14 15_________ 16_ 17 18___ 19______ 20__________ 21 22_ 23_______ 24_______ 25___ 26______ 27 28____________ 29_________ 30____ 31

Chunks:

2017-06-14 20:20:30,672 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 53 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103596.xml
(ChunkerEvaluator) Sentence #958 from 00103596 from sent1

Text  : Działo się to niemal dokładnie rok temu podczas mszy rezurekcyjnej ._
Tokens: 1_____ 2__ 3_ 4_____ 5________ 6__ 7___ 8______ 9___ 10___________ 11

Chunks:

(ChunkerEvaluator) Sentence #959 from 00103596 from sent2

Text  : Kazanie wygłaszał ksiądz , który przygotowywał mnie do bierzmowania ,_ o_ którym miałem bardzo dobre zdanie -_ potrafił rozmawiać inteligentnie z_ młodymi ludźmi ,_ z_ poczuciem humoru ,_ bez zbędnego patosu itd ._
Tokens: 1______ 2________ 3_____ 4 5____ 6____________ 7___ 8_ 9___________ 10 11 12____ 13____ 14____ 15___ 16____ 17 18______ 19_______ 20___________ 21 22_____ 23____ 24 25 26_______ 27____ 28 29_ 30______ 31____ 32_ 33

Chunks:

(ChunkerEvaluator) Sentence #960 from 00103596 from sent3

Text  : Tymczasem okazało się , że ma też drugie oblicze ._
Tokens: 1________ 2______ 3__ 4 5_ 6_ 7__ 8_____ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #961 from 00103596 from sent4

Text  : Kazanie po pierwsze było bardzo długie ( co do niego niepodobne )_ ,_ ale ,_ co gorsze ,_ ksiądz bez przerwy uderzał w_ moherowe tony ._
Tokens: 1______ 2_ 3_______ 4___ 5_____ 6_____ 7 8_ 9_ 10___ 11________ 12 13 14_ 15 16 17____ 18 19____ 20_ 21_____ 22_____ 23 24______ 25__ 26

Chunks:

(ChunkerEvaluator) Sentence #962 from 00103596 from sent5

Text  : Niestety wtedy jeszcze nie myślał em o prowadzeniu bloga ,_ więc nie zanotował em wszystkiego ._
Tokens: 1_______ 2____ 3______ 4__ 5_____ 6_ 7 8__________ 9____ 10 11__ 12_ 13_______ 14 15_________ 16

Chunks:

(ChunkerEvaluator) Sentence #963 from 00103596 from sent6

Text  : Zapamiętał em tylko to , co mnie najbardziej zszokowało ._
Tokens: 1_________ 2_ 3____ 4_ 5 6_ 7___ 8__________ 9_________ 10

Chunks:

(ChunkerEvaluator) Sentence #964 from 00103596 from sent7

Text  : Powiedział coś takiego :
Tokens: 1_________ 2__ 3______ 4

Chunks:

(ChunkerEvaluator) Sentence #965 from 00103596 from sent8

Text  : Rok 2011 został ogłoszony przez sejm rokiem o . Maksymiliana Marii Kolbego ,_ ale także rokiem Czesława Miłosza i_ Marii Skłodowskiej -_ Curie ._
Tokens: 1__ 2___ 3_____ 4________ 5____ 6___ 7_____ 8 9 10__________ 11___ 12_____ 13 14_ 15___ 16____ 17______ 18_____ 19 20___ 21__________ 22 23___ 24

Chunks:
  TruePositive nam [10,12] = Maksymiliana Marii Kolbego (confidence=1.00)
  TruePositive nam [17,18] = Czesława Miłosza (confidence=1.00)
  FalsePositive nam [20,23] = Marii Skłodowskiej - Curie (confidence=1.00) (incorrect boundry)
  FalseNegative nam [20,21] = Marii Skłodowskiej
  FalseNegative nam [23,23] = Curie

(ChunkerEvaluator) Sentence #966 from 00103596 from sent9

Text  : Należy sobie zadać pytanie , czy aby słusznie oni zostali w_ ten sposób uhonorowani ._
Tokens: 1_____ 2____ 3____ 4______ 5 6__ 7__ 8_______ 9__ 10_____ 11 12_ 13____ 14_________ 15

Chunks:

(ChunkerEvaluator) Sentence #967 from 00103596 from sent10

Text  : Ja , jako katolik , nie mogę się zgodzić ze słowami wiersza tak charakterystycznego dla twórczości Miłosza ,_ "_ Który skrzywdził eś człowieka prostego "_ ,_ którego ostatnia strofa mówi ,_ że samobójstwo jest najlepszym wyjściem z_ sytuacji [_ ._ ._ ._ ]_
Tokens: 1_ 2 3___ 4______ 5 6__ 7___ 8__ 9______ 10 11_____ 12_____ 13_ 14_________________ 15_ 16________ 17_____ 18 19 20___ 21________ 22 23_______ 24______ 25 26 27_____ 28______ 29____ 30__ 31 32 33_________ 34__ 35________ 36______ 37 38______ 39 40 41 42 43

Chunks:
  TruePositive nam [17,17] = Miłosza (confidence=1.00)
  FalseNegative nam [20,24] = Który skrzywdził eś człowieka prostego

(ChunkerEvaluator) Sentence #968 from 00103596 from sent11

Text  : Polecam zapoznać się z tym wierszem .
Tokens: 1______ 2_______ 3__ 4 5__ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #969 from 00103596 from sent12

Text  : Nie jest długi ani , według mnie , trudny w_ interpretacji ._
Tokens: 1__ 2___ 3____ 4__ 5 6_____ 7___ 8 9_____ 10 11___________ 12

Chunks:

(ChunkerEvaluator) Sentence #970 from 00103596 from sent13

Text  : Dodajmy , że został napisany pięć lat po zakończeniu II wojny światowej ._
Tokens: 1______ 2 3_ 4_____ 5_______ 6___ 7__ 8_ 9__________ 10 11___ 12_______ 13

Chunks:
  TruePositive nam [10,12] = II wojny światowej (confidence=1.00)

(ChunkerEvaluator) Sentence #971 from 00103596 from sent14

Text  : Nie wiem naprawdę , jak można uznać , że jest on niechrześcijańską zachętą do samobójstwa ._
Tokens: 1__ 2___ 3_______ 4 5__ 6____ 7____ 8 9_ 10__ 11 12_______________ 13_____ 14 15_________ 16

Chunks:

(ChunkerEvaluator) Sentence #972 from 00103596 from sent15

Text  : Chyba tylko wtedy , gdy na siłę chce się udowodnić ,_ że Miłosz wcale nie był taki fajny ._
Tokens: 1____ 2____ 3____ 4 5__ 6_ 7___ 8___ 9__ 10_______ 11 12 13____ 14___ 15_ 16_ 17__ 18___ 19

Chunks:
  TruePositive nam [13,13] = Miłosz (confidence=1.00)

(ChunkerEvaluator) Sentence #973 from 00103596 from sent16

Text  : Z poetą poszło całkiem łatwo , w końcu trochę wierszy napisał ,_ więc prawdopodobieństwo znalezienia czegoś antychrześcijańskiego było duże ._
Tokens: 1 2____ 3_____ 4______ 5____ 6 7 8____ 9_____ 10_____ 11_____ 12 13__ 14________________ 15_________ 16____ 17___________________ 18__ 19__ 20

Chunks:

(ChunkerEvaluator) Sentence #974 from 00103596 from sent17

Text  : Tylko co z panią Marią ?
Tokens: 1____ 2_ 3 4____ 5____ 6

Chunks:
  TruePositive nam [5,5] = Marią (confidence=1.00)

(ChunkerEvaluator) Sentence #975 from 00103596 from sent18

Text  : Należy się zastanowić , czy jej badania nad promieniotwórczością przyniosły ludzkości więcej pożytku czy szkody ._
Tokens: 1_____ 2__ 3_________ 4 5__ 6__ 7______ 8__ 9___________________ 10________ 11_______ 12____ 13_____ 14_ 15____ 16

Chunks:

(ChunkerEvaluator) Sentence #976 from 00103596 from sent19

Text  : Może lepiej było by , gdyby promieniotwórczość nigdy nie została odkryta ?_
Tokens: 1___ 2_____ 3___ 4_ 5 6____ 7_________________ 8____ 9__ 10_____ 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #977 from 00103596 from sent20

Text  : Pewnie , a może lepiej było by , gdyby koło nigdy nie zostało wynalezione ?_
Tokens: 1_____ 2 3 4___ 5_____ 6___ 7_ 8 9____ 10__ 11___ 12_ 13_____ 14_________ 15

Chunks:

(ChunkerEvaluator) Sentence #978 from 00103596 from sent21

Text  : Nie było by wypadków samochodowych , pojazdów wojskowych , broni automatycznej i_ tylu innych źródeł zła ._
Tokens: 1__ 2___ 3_ 4_______ 5____________ 6 7_______ 8_________ 9 10___ 11___________ 12 13__ 14____ 15____ 16_ 17

Chunks:

(ChunkerEvaluator) Sentence #979 from 00103596 from sent22

Text  : A tak naprawdę , gdyby Maria Skłodowska - Curie nie wykonała swoich badań ,_ z_ pewnością dokonał by tego ktoś inny ._
Tokens: 1 2__ 3_______ 4 5____ 6____ 7_________ 8 9____ 10_ 11______ 12____ 13___ 14 15 16_______ 17_____ 18 19__ 20__ 21__ 22

Chunks:
  TruePositive nam [6,9] = Maria Skłodowska - Curie (confidence=1.00)

(ChunkerEvaluator) Sentence #980 from 00103596 from sent23

Text  : Jest jednak duża szansa , że nie był by to Polak i_ wtedy mogli by śmy się zająć tym ,_ co tak lubimy ,_ czyli gloryfikowaniem męczenników (_ żeby było jasne :_ akurat o_ ._ Kolbego szczerze podziwiam )_ ._
Tokens: 1___ 2_____ 3___ 4_____ 5 6_ 7__ 8__ 9_ 10 11___ 12 13___ 14___ 15 16_ 17_ 18___ 19_ 20 21 22_ 23____ 24 25___ 26_____________ 27_________ 28 29__ 30__ 31___ 32 33____ 34 35 36_____ 37______ 38_______ 39 40

Chunks:
  TruePositive nam [11,11] = Polak (confidence=0.98)
  TruePositive nam [36,36] = Kolbego (confidence=0.98)

(ChunkerEvaluator) Sentence #981 from 00103596 from sent24

Text  : Po zakończeniu kazania pod ołtarzem rozległy się gromkie ( miejmy nadzieję ,_ że spontaniczne )_ brawa ._
Tokens: 1_ 2__________ 3______ 4__ 5_______ 6_______ 7__ 8______ 9 10____ 11______ 12 13 14__________ 15 16___ 17

Chunks:

2017-06-14 20:20:30,778 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 54 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103672.xml
(ChunkerEvaluator) Sentence #982 from 00103672 from sent1

Text  : Astrologia u starożytnych narodów Wschodu , w Asyrii , Babilonii i_ Egipcie znajdowała poczesne miejsce nie tylko w_ zastosowaniu do każdej niemal dziedziny wiedzy ,_ lecz również była używana w_ zarządzaniu państwem oraz była ściśle związana z_ religią ,_ tworząc jej podstawowe założenia ._
Tokens: 1_________ 2 3___________ 4______ 5______ 6 7 8_____ 9 10_______ 11 12_____ 13________ 14______ 15_____ 16_ 17___ 18 19__________ 20 21____ 22____ 23_______ 24____ 25 26__ 27_____ 28__ 29_____ 30 31_________ 32______ 33__ 34__ 35____ 36______ 37 38_____ 39 40_____ 41_ 42________ 43_______ 44

Chunks:
  TruePositive nam [5,5] = Wschodu (confidence=0.81)
  TruePositive nam [8,8] = Asyrii (confidence=1.00)
  TruePositive nam [10,10] = Babilonii (confidence=0.99)
  TruePositive nam [12,12] = Egipcie (confidence=1.00)

(ChunkerEvaluator) Sentence #983 from 00103672 from sent2

Text  : W Grecji astrologia straciła swój charakter religijny , rozwijając się raczej jako światopogląd filozoficzny ._
Tokens: 1 2_____ 3_________ 4_______ 5___ 6________ 7________ 8 9_________ 10_ 11____ 12__ 13__________ 14__________ 15

Chunks:
  TruePositive nam [2,2] = Grecji (confidence=0.98)

(ChunkerEvaluator) Sentence #984 from 00103672 from sent3

Text  : Biblijni hebrajczycy , ściślej Izraelici , istnieli jako państwo buforowe między dwiema potęgami ,_ hołdującymi astrologii :_ Babilonem i_ Egiptem ,_ nic dziwnego zatem ,_ że byli obeznani z_ religią gwiazd ._
Tokens: 1_______ 2__________ 3 4______ 5________ 6 7_______ 8___ 9______ 10______ 11____ 12____ 13______ 14 15_________ 16________ 17 18_______ 19 20_____ 21 22_ 23______ 24___ 25 26 27__ 28______ 29 30_____ 31____ 32

Chunks:
  TruePositive nam [5,5] = Izraelici (confidence=1.00)
  TruePositive nam [18,18] = Babilonem (confidence=0.99)
  TruePositive nam [20,20] = Egiptem (confidence=0.99)

(ChunkerEvaluator) Sentence #985 from 00103672 from sent4

Text  : Na poparcie tego w wielu miejscach Starego Testamentu znaleźć można astrologiczny tok myśli świadczący o_ tym ,_ że astrologia była tam ogólnie znana i_ praktykowana ._
Tokens: 1_ 2_______ 3___ 4 5____ 6________ 7______ 8_________ 9______ 10___ 11___________ 12_ 13___ 14________ 15 16_ 17 18 19________ 20__ 21_ 22_____ 23___ 24 25__________ 26

Chunks:
  TruePositive nam [7,8] = Starego Testamentu (confidence=0.61)

(ChunkerEvaluator) Sentence #986 from 00103672 from sent5

Text  : W wielkiej wizji Hioba rozpoznajemy stacje księżycowe , a w_ błogosławieństwie Jakuba (_ 1_ ._ Mojż ._ 49 )_ znaki Zodiaku ._
Tokens: 1 2_______ 3____ 4____ 5___________ 6_____ 7_________ 8 9 10 11_______________ 12____ 13 14 15 16__ 17 18 19 20___ 21_____ 22

Chunks:
  TruePositive nam [4,4] = Hioba (confidence=1.00)
  TruePositive nam [12,12] = Jakuba (confidence=1.00)
  FalsePositive nam [21,21] = Zodiaku (confidence=0.93) (incorrect boundry)
  FalseNegative nam [16,16] = Mojż

(ChunkerEvaluator) Sentence #987 from 00103672 from sent6

Text  : Z Babilonu Żydzi przejęli również siedmiodniowy tydzień oraz nazwy miesięcy ,_ wyznaczając dzień świąteczny czyli Sabat na sobotę czyli dzień Saturna ._
Tokens: 1 2_______ 3____ 4_______ 5______ 6____________ 7______ 8___ 9____ 10______ 11 12_________ 13___ 14________ 15___ 16___ 17 18____ 19___ 20___ 21_____ 22

Chunks:
  TruePositive nam [3,3] = Żydzi (confidence=0.66)
  TruePositive nam [16,16] = Sabat (confidence=0.99)
  TruePositive nam [21,21] = Saturna (confidence=0.99)
  FalsePositive nam [1,2] = Z Babilonu (confidence=0.49) (incorrect boundry)
  FalseNegative nam [2,2] = Babilonu

(ChunkerEvaluator) Sentence #988 from 00103672 from sent7

Text  : U proroków i u następujących po nich prawodawców astrologia właściwa ,_ tj ._ przepowiadanie z_ gwiazd ,_ nie spotyka się z_ zakazem (_ Daniel II ,_ 2_ ;_ Izajasz 47 ,_ 13 ;_ Jeremiasz 10 ,_ 2_ )_ ._
Tokens: 1 2_______ 3 4 5____________ 6_ 7___ 8__________ 9_________ 10______ 11 12 13 14____________ 15 16____ 17 18_ 19_____ 20_ 21 22_____ 23 24____ 25 26 27 28 29_____ 30 31 32 33 34_______ 35 36 37 38 39

Chunks:
  TruePositive nam [24,24] = Daniel (confidence=0.91)
  TruePositive nam [29,29] = Izajasz (confidence=0.64)
  TruePositive nam [34,34] = Jeremiasz (confidence=0.65)

(ChunkerEvaluator) Sentence #989 from 00103672 from sent8

Text  : Jedynie wykonywanie czarów i wróżenie było wzbronione pod srogą karą (_ Deuteromn ._ 18 ,_ 10 )_ ,_ zaś Żydowska Kabała w_ swych wszystkich rozdziałach wyraźnie nawiązuje do astrologii ._
Tokens: 1______ 2__________ 3_____ 4 5_______ 6___ 7_________ 8__ 9____ 10__ 11 12_______ 13 14 15 16 17 18 19_ 20______ 21____ 22 23___ 24________ 25_________ 26______ 27_______ 28 29________ 30

Chunks:
  FalsePositive nam [20,21] = Żydowska Kabała (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #990 from 00103672 from sent9

Text  : W starożytnym Rzymie prawo XII tablic ( 450 r ._ p_ ._ n_ ._ e_ ._ )_ zakazywało czarów pod karą śmierci ._
Tokens: 1 2__________ 3_____ 4____ 5__ 6_____ 7 8__ 9 10 11 12 13 14 15 16 17 18________ 19____ 20_ 21__ 22_____ 23

Chunks:
  TruePositive nam [3,3] = Rzymie (confidence=0.90)
  FalsePositive nam [5,5] = XII (confidence=0.83) (incorrect boundry)

(ChunkerEvaluator) Sentence #991 from 00103672 from sent10

Text  : Jednak divinatio czyli przepowiadanie przyszłości i dowiadywanie się rzeczy ukrytych sposobem naturalnym traktowane było oddzielnie od czarów ,_ uważanych za postępowanie nadnaturalne ._
Tokens: 1_____ 2________ 3____ 4_____________ 5__________ 6 7___________ 8__ 9_____ 10______ 11______ 12________ 13________ 14__ 15________ 16 17____ 18 19_______ 20 21__________ 22__________ 23

Chunks:

(ChunkerEvaluator) Sentence #992 from 00103672 from sent11

Text  : Chrześcijaństwo , w przeciwieństwie do tolerancji wyznań pogańskich , było z_ góry zasadniczo źle nastawione do innych kultów ._
Tokens: 1______________ 2 3 4______________ 5_ 6_________ 7_____ 8_________ 9 10__ 11 12__ 13________ 14_ 15________ 16 17____ 18____ 19

Chunks:

(ChunkerEvaluator) Sentence #993 from 00103672 from sent12

Text  : Dlatego też Kościół Chrystusowy potępił kult i wiarę w uduchowienie gwiazd ._
Tokens: 1______ 2__ 3______ 4__________ 5______ 6___ 7 8____ 9 10__________ 11____ 12

Chunks:
  TruePositive nam [3,4] = Kościół Chrystusowy (confidence=1.00)

(ChunkerEvaluator) Sentence #994 from 00103672 from sent13

Text  : Tak samo odrzucił fatalizm , który tak jak wiara we wszechmoc gwiazd ,_ nie dał się pogodzić z_ chrześcijańską nauką o_ wolności woli i_ o_ odpowiedzialności za swe czyny ._
Tokens: 1__ 2___ 3_______ 4_______ 5 6____ 7__ 8__ 9____ 10 11_______ 12____ 13 14_ 15_ 16_ 17______ 18 19____________ 20___ 21 22______ 23__ 24 25 26_______________ 27 28_ 29___ 30

Chunks:

(ChunkerEvaluator) Sentence #995 from 00103672 from sent14

Text  : Miejsce wiary we wszechmoc gwiazd zajął boski plan dla świata ._
Tokens: 1______ 2____ 3_ 4________ 5_____ 6____ 7____ 8___ 9__ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #996 from 00103672 from sent15

Text  : Jeśli więc działanie jest planowe , a nie jest grą przypadku ,_ to według nauk chrześcijańskich ,_ dywinacja nie jest zasadniczo wykluczona ,_ lecz jest zgłębianiem boskich wyroków ._
Tokens: 1____ 2___ 3________ 4___ 5______ 6 7 8__ 9___ 10_ 11_______ 12 13 14____ 15__ 16______________ 17 18_______ 19_ 20__ 21________ 22________ 23 24__ 25__ 26_________ 27_____ 28_____ 29

Chunks:

2017-06-14 20:20:30,873 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 55 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103716.xml
(ChunkerEvaluator) Sentence #997 from 00103716 from sent1

Text  : Kolejni wakacyjni laureaci " Qmam media "
Tokens: 1______ 2________ 3_______ 4 5___ 6____ 7

Chunks:
  TruePositive nam [5,6] = Qmam media (confidence=1.00)

(ChunkerEvaluator) Sentence #998 from 00103716 from sent2

Text  : Jury przyznało nagrody w kategorii " qmama warsztatowego " redakcji qmama :_
Tokens: 1___ 2________ 3______ 4 5________ 6 7____ 8____________ 9 10______ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #999 from 00103716 from sent3

Text  : Szybka Codzienna - Gminnego Ośrodka Kultury w Goraju .
Tokens: 1_____ 2________ 3 4_______ 5______ 6______ 7 8_____ 9

Chunks:
  TruePositive nam [1,2] = Szybka Codzienna (confidence=0.99)
  TruePositive nam [4,6] = Gminnego Ośrodka Kultury (confidence=0.79)
  TruePositive nam [8,8] = Goraju (confidence=0.97)

(ChunkerEvaluator) Sentence #1000 from 00103716 from sent4

Text  : Za wakacyjnego ducha , który nie traci z pola widzenia ani bieżących spraw lokalnej społeczności ,_ ani osobistych historii mieszkańców Goraja ._
Tokens: 1_ 2__________ 3____ 4 5____ 6__ 7____ 8 9___ 10______ 11_ 12_______ 13___ 14______ 15__________ 16 17_ 18________ 19______ 20_________ 21____ 22

Chunks:
  TruePositive nam [21,21] = Goraja (confidence=1.00)

(ChunkerEvaluator) Sentence #1001 from 00103716 from sent5

Text  : Ale pamiętajcie o efekcie ostatniej strony - kiedy jest pusta ,_ ogólne dobre wrażenie osłabia niepotrzebny niedosyt ._
Tokens: 1__ 2__________ 3 4______ 5________ 6_____ 7 8____ 9___ 10___ 11 12____ 13___ 14______ 15_____ 16__________ 17______ 18

Chunks:

(ChunkerEvaluator) Sentence #1002 from 00103716 from sent6

Text  : Jury przyznało nagrody w kategorii " qmama cyklicznego " redakcji qmama :_
Tokens: 1___ 2________ 3______ 4 5________ 6 7____ 8__________ 9 10______ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #1003 from 00103716 from sent7

Text  : Propaganda - Młodzieżowej Rady Miasta Legionowo .
Tokens: 1_________ 2 3___________ 4___ 5_____ 6________ 7

Chunks:
  TruePositive nam [1,1] = Propaganda (confidence=0.61)
  TruePositive nam [3,6] = Młodzieżowej Rady Miasta Legionowo (confidence=0.97)

(ChunkerEvaluator) Sentence #1004 from 00103716 from sent8

Text  : Za ciągły rozwój tytułu - widoczny w kolejnych wydaniach qmama ._ Za bogactwo tematów ,_ co w_ realiach letniej sielanki zasługuje na szczególne wyróżnienie ._ Zachęcamy do większej kreatywności w_ projektowaniu okładki -_ od niej zaczyna się każde spotkanie z_ czytelnikiem ._
Tokens: 1_ 2_____ 3_____ 4_____ 5 6_______ 7 8________ 9________ 10___ 11 12 13______ 14_____ 15 16 17 18______ 19_____ 20______ 21_______ 22 23________ 24_________ 25 26_______ 27 28______ 29__________ 30 31___________ 32_____ 33 34 35__ 36_____ 37_ 38___ 39_______ 40 41__________ 42

Chunks:

(ChunkerEvaluator) Sentence #1005 from 00103716 from sent9

Text  : Laureatom serdecznie gratulujemy !
Tokens: 1________ 2_________ 3__________ 4

Chunks:

(ChunkerEvaluator) Sentence #1006 from 00103716 from sent10

Text  : A już w przyszłym tygodniu ogłoszenie wyników rekrutacji do Szkoły MAM -_ opublikujemy listę redakcji ,_ które zakwalifikowały się do programu ._
Tokens: 1 2__ 3 4________ 5_______ 6_________ 7______ 8_________ 9_ 10____ 11_ 12 13__________ 14___ 15______ 16 17___ 18_____________ 19_ 20 21______ 22

Chunks:
  TruePositive nam [10,11] = Szkoły MAM (confidence=0.96)

(ChunkerEvaluator) Sentence #1007 from 00103716 from sent11

Text  : Zaglądajcie na naszą stronę .
Tokens: 1__________ 2_ 3____ 4_____ 5

Chunks:

2017-06-14 20:20:30,915 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 56 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103886.xml
(ChunkerEvaluator) Sentence #1008 from 00103886 from sent1

Text  : Składniki :
Tokens: 1________ 2

Chunks:

(ChunkerEvaluator) Sentence #1009 from 00103886 from sent2

Text  : ½ kg owoców nerkowca
Tokens: 1 2_ 3_____ 4_______

Chunks:

(ChunkerEvaluator) Sentence #1010 from 00103886 from sent3

Text  : ½ kg pociętej paneli ( czysty cukier z trzciny )_
Tokens: 1 2_ 3_______ 4_____ 5 6_____ 7_____ 8 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #1011 from 00103886 from sent4

Text  : 1 litr wody
Tokens: 1 2___ 3___

Chunks:

(ChunkerEvaluator) Sentence #1012 from 00103886 from sent5

Text  : czerwone wino
Tokens: 1_______ 2___

Chunks:

(ChunkerEvaluator) Sentence #1013 from 00103886 from sent6

Text  : cynamon w proszku
Tokens: 1______ 2 3______

Chunks:

(ChunkerEvaluator) Sentence #1014 from 00103886 from sent7

Text  : Przygotowanie :
Tokens: 1____________ 2

Chunks:

(ChunkerEvaluator) Sentence #1015 from 00103886 from sent8

Text  : Wyjąć pestki z miąższu nerkowca i udusić go widelcem ._
Tokens: 1____ 2_____ 3 4______ 5_______ 6 7_____ 8_ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #1016 from 00103886 from sent9

Text  : Następnie odsączyć i ugotować w wodzie .
Tokens: 1________ 2_______ 3 4_______ 5 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #1017 from 00103886 from sent10

Text  : Wyjąć i wymieszać z panelą .
Tokens: 1____ 2 3________ 4 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #1018 from 00103886 from sent11

Text  : Dodać odrobinę czerwonego wina i cynamonu .
Tokens: 1____ 2_______ 3_________ 4___ 5 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #1019 from 00103886 from sent12

Text  : Gotować aż do momentu pojawienia się syropu .
Tokens: 1______ 2_ 3_ 4______ 5_________ 6__ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #1020 from 00103886 from sent13

Text  : Owoc musi pomarszczyć się jak rodzynki .
Tokens: 1___ 2___ 3__________ 4__ 5__ 6_______ 7

Chunks:

2017-06-14 20:20:30,935 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 57 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103891.xml
(ChunkerEvaluator) Sentence #1021 from 00103891 from sent1

Text  : Składniki ( dla 4 osób ) :
Tokens: 1________ 2 3__ 4 5___ 6 7

Chunks:

(ChunkerEvaluator) Sentence #1022 from 00103891 from sent2

Text  : 14 pomarańcz
Tokens: 1_ 2________

Chunks:

(ChunkerEvaluator) Sentence #1023 from 00103891 from sent3

Text  : 1 puszka skondesowanego mleka
Tokens: 1 2_____ 3_____________ 4____

Chunks:

(ChunkerEvaluator) Sentence #1024 from 00103891 from sent4

Text  : lód
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #1025 from 00103891 from sent5

Text  : Przygotowanie :
Tokens: 1____________ 2

Chunks:

(ChunkerEvaluator) Sentence #1026 from 00103891 from sent6

Text  : Wycisnąć sok z pomarańcz i przelać go przez sitko ._
Tokens: 1_______ 2__ 3 4________ 5 6______ 7_ 8____ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #1027 from 00103891 from sent7

Text  : Powoli wymieszać sok ze skondensowanym mlekiem .
Tokens: 1_____ 2________ 3__ 4_ 5_____________ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #1028 from 00103891 from sent8

Text  : Do kieliszków nałożyć lód i zalać go koktajlem .
Tokens: 1_ 2_________ 3______ 4__ 5 6____ 7_ 8________ 9

Chunks:

2017-06-14 20:20:30,948 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 58 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103939.xml
(ChunkerEvaluator) Sentence #1029 from 00103939 from sent1

Text  : Jak zauważył em u Bartka w komentarzach , to co z_ perspektywy twórcy jest troską o_ integralność ,_ z_ perspektywy odbiorcy może być motywowane ochroną przed nadmiarem –_ kultura na analogowych nośnikach jest policzalna ,_ widać dokładnie ile jej jest ,_ czego jeszcze nie przetrawił em ,_ itd ._
Tokens: 1__ 2_______ 3_ 4 5_____ 6 7___________ 8 9_ 10 11 12_________ 13____ 14__ 15____ 16 17__________ 18 19 20_________ 21______ 22__ 23_ 24________ 25_____ 26___ 27_______ 28 29_____ 30 31_________ 32_______ 33__ 34________ 35 36___ 37_______ 38_ 39_ 40__ 41 42___ 43_____ 44_ 45________ 46 47 48_ 49

Chunks:
  TruePositive nam [5,5] = Bartka (confidence=1.00)

(ChunkerEvaluator) Sentence #1030 from 00103939 from sent2

Text  : 3 nieprzeczytane książki przy łóżku , kupka regularnie słuchanych CD (_ no dobrze ,_ i_ odtwarzacz mp3 –_ ale z_ 256MB pamięci ,_ która lada moment będzie przyjemnie anachroniczna i_ funkcjonalnie analogowa )_ ._
Tokens: 1 2_____________ 3______ 4___ 5____ 6 7____ 8_________ 9_________ 10 11 12 13____ 14 15 16________ 17_ 18 19_ 20 21___ 22_____ 23 24___ 25__ 26____ 27____ 28________ 29___________ 30 31___________ 32_______ 33 34

Chunks:
  TruePositive nam [10,10] = CD (confidence=0.96)
  FalseNegative nam [17,17] = mp3

(ChunkerEvaluator) Sentence #1031 from 00103939 from sent3

Text  : [ Na marginesie - ciekawe jak przebiega kulturowa selekcja tych przeszłych mediów ,_ które są retro w_ sposób atrakcyjny (_ jak płyta winylowa )_ i_ tych ,_ które są po prostu staromodne i_ niewygodne (_ jak chyba CD )_ ._
Tokens: 1 2_ 3_________ 4 5______ 6__ 7________ 8________ 9_______ 10__ 11________ 12____ 13 14___ 15 16___ 17 18____ 19________ 20 21_ 22___ 23______ 24 25 26__ 27 28___ 29 30 31____ 32________ 33 34________ 35 36_ 37___ 38 39 40

Chunks:
  TruePositive nam [38,38] = CD (confidence=0.87)

(ChunkerEvaluator) Sentence #1032 from 00103939 from sent4

Text  : Ale swoją drogą przykłady opisywane przez Bartka , niszowych wytwórni wydających nagrania na kasetach magnetofonowych ,_ pokazują ,_ że w_ ruchu integrystów analogowych jest miejsce na dowolną ilość nisz i_ fakcji ]_ ._
Tokens: 1__ 2____ 3____ 4________ 5________ 6____ 7_____ 8 9________ 10______ 11________ 12______ 13 14______ 15_____________ 16 17______ 18 19 20 21___ 22_________ 23_________ 24__ 25_____ 26 27_____ 28___ 29__ 30 31____ 32 33

Chunks:
  TruePositive nam [7,7] = Bartka (confidence=0.99)

(ChunkerEvaluator) Sentence #1033 from 00103939 from sent5

Text  : Przyszła mi do głowy jeszcze jedna cecha analogowych nośników ,_ która w_ dłuższej perspektywie może okazać się dużo ważniejsza niż integralność utworu ._
Tokens: 1_______ 2_ 3_ 4____ 5______ 6____ 7____ 8__________ 9_______ 10 11___ 12 13______ 14__________ 15__ 16____ 17_ 18__ 19________ 20_ 21__________ 22____ 23

Chunks:

(ChunkerEvaluator) Sentence #1034 from 00103939 from sent6

Text  : Do myślenia skłoniła mnie wiadomość w serwisie Wired : Amazon ugiął się i_ pozwoli posiadaczom czytnika Kindle wymieniać się książkami ._
Tokens: 1_ 2_______ 3_______ 4___ 5________ 6 7_______ 8____ 9 10____ 11___ 12_ 13 14_____ 15_________ 16______ 17____ 18_______ 19_ 20_______ 21

Chunks:
  TruePositive nam [8,8] = Wired (confidence=1.00)
  TruePositive nam [10,10] = Amazon (confidence=0.99)
  TruePositive nam [17,17] = Kindle (confidence=0.98)

(ChunkerEvaluator) Sentence #1035 from 00103939 from sent7

Text  : Na następujących warunkach : można wypożyczyć książkę raz ( w_ życiu )_ ,_ jednej osobie ,_ na okres dwóch tygodni ._
Tokens: 1_ 2____________ 3________ 4 5____ 6_________ 7______ 8__ 9 10 11___ 12 13 14____ 15____ 16 17 18___ 19___ 20_____ 21

Chunks:

(ChunkerEvaluator) Sentence #1036 from 00103939 from sent8

Text  : I tyle .
Tokens: 1 2___ 3

Chunks:

(ChunkerEvaluator) Sentence #1037 from 00103939 from sent9

Text  : To na pewno krok naprzód , ale jednocześnie bardzo mizerny standard „_ pożyczania ”_ ._
Tokens: 1_ 2_ 3____ 4___ 5______ 6 7__ 8___________ 9_____ 10_____ 11______ 12 13________ 14 15

Chunks:

(ChunkerEvaluator) Sentence #1038 from 00103939 from sent10

Text  : Jeśli sprawdzi się scenariusz końca otwartej Sieci , jaką dotychczas znali śmy –_ zastąpionej dominacją ściśle kontrolowanych kanałów dystrybucji takich jak selekcjonujący programy App Store czy czytniki e_ -_ książek ,_ kontrolujące dostęp do treści -_ to nośniki analogowe okażą się w_ porównaniu zaskakująco otwarte ._
Tokens: 1____ 2_______ 3__ 4_________ 5____ 6_______ 7____ 8 9___ 10________ 11___ 12_ 13 14_________ 15_______ 16____ 17____________ 18_____ 19_________ 20____ 21_ 22____________ 23______ 24_ 25___ 26_ 27______ 28 29 30_____ 31 32__________ 33____ 34 35____ 36 37 38_____ 39_______ 40___ 41_ 42 43________ 44_________ 45_____ 46

Chunks:
  FalsePositive nam [24,25] = App Store (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #1039 from 00103939 from sent11

Text  : Co będzie dość niesamowitym odwróceniem ról – przyzwyczaili śmy się mówić ,_ że treści cyfrowe ,_ dzięki możliwości taniego i_ łatwego kopiowania ,_ umożliwiają kulturę dzielenia ,_ którą blokowały koszty kopiowania i_ dystrybucji nośników analogowych ._
Tokens: 1_ 2_____ 3___ 4___________ 5__________ 6__ 7 8____________ 9__ 10_ 11___ 12 13 14____ 15_____ 16 17____ 18________ 19_____ 20 21_____ 22________ 23 24_________ 25_____ 26_______ 27 28___ 29_______ 30____ 31________ 32 33_________ 34______ 35_________ 36

Chunks:

(ChunkerEvaluator) Sentence #1040 from 00103939 from sent12

Text  : Jeśli okaże się , że ta nowa kultura dostępności zostanie cyfrowo wykastrowana ,_ to świat analogowy stanie się oazą wolnej kultury ._
Tokens: 1____ 2____ 3__ 4 5_ 6_ 7___ 8______ 9__________ 10______ 11_____ 12__________ 13 14 15___ 16_______ 17____ 18_ 19__ 20____ 21_____ 22

Chunks:

(ChunkerEvaluator) Sentence #1041 from 00103939 from sent13

Text  : Już dziś posiadacz Kindle czy iPada stoi przed wyborem :_ czy wydać więcej na książkę ,_ ale za to móc ją pożyczyć znajomym ?_
Tokens: 1__ 2___ 3________ 4_____ 5__ 6____ 7___ 8____ 9______ 10 11_ 12___ 13____ 14 15_____ 16 17_ 18 19 20_ 21 22______ 23______ 24

Chunks:
  TruePositive nam [4,4] = Kindle (confidence=0.98)
  TruePositive nam [6,6] = iPada (confidence=0.80)

2017-06-14 20:20:31,039 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 59 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103954.xml
(ChunkerEvaluator) Sentence #1042 from 00103954 from sent1

Text  : Na stronie „ Wired ” pojawił się świetny tekst Chrisa Kohlera o_ tym ,_ jak rosnąca popularność gier na platformy przenośne wstrząsa podstawami całej branży growej ._
Tokens: 1_ 2______ 3 4____ 5 6______ 7__ 8______ 9____ 10____ 11_____ 12 13_ 14 15_ 16_____ 17_________ 18__ 19 20_______ 21_______ 22______ 23________ 24___ 25____ 26____ 27

Chunks:
  TruePositive nam [4,4] = Wired (confidence=1.00)
  TruePositive nam [10,11] = Chrisa Kohlera (confidence=0.99)

(ChunkerEvaluator) Sentence #1043 from 00103954 from sent2

Text  : Pretekstem dla autora była nominacja Angry Birds ( irytująco uzależniającej ,_ banalnie prostej gry ,_ polegającej na wystrzeliwaniu różnych ptaków -_ pocisków w_ kierunku prosiaków kryjących się w_ coraz bardziej rozbudowanych konstrukcjach )_ do prestiżowej nagrody Game of the Year przyznawanej przez Academy of Interactive Arts and Sciences ._
Tokens: 1_________ 2__ 3_____ 4___ 5________ 6____ 7____ 8 9________ 10____________ 11 12______ 13_____ 14_ 15 16_________ 17 18____________ 19_____ 20____ 21 22______ 23 24______ 25_______ 26_______ 27_ 28 29___ 30______ 31___________ 32___________ 33 34 35_________ 36_____ 37__ 38 39_ 40__ 41__________ 42___ 43_____ 44 45_________ 46__ 47_ 48______ 49

Chunks:
  TruePositive nam [6,7] = Angry Birds (confidence=1.00)
  TruePositive nam [37,40] = Game of the Year (confidence=0.94)
  TruePositive nam [43,48] = Academy of Interactive Arts and Sciences (confidence=0.99)

(ChunkerEvaluator) Sentence #1044 from 00103954 from sent3

Text  : Tym samym produkt stworzony za 150 tys . USD trafił do elitarnego grona ,_ do którego przepustką w_ ostatnich latach były nakłady liczone w_ dziesiątkach milionów (_ zwycięski Mass Effect 2_ kosztował prawdopodobnie ponad 40 mln USD ,_ a_ w_ wypadku innych tytułów spekuluje się o_ nakładach zbliżających się do poziomu 100 mln USD )_ ._
Tokens: 1__ 2____ 3______ 4________ 5_ 6__ 7__ 8 9__ 10____ 11 12________ 13___ 14 15 16_____ 17________ 18 19_______ 20____ 21__ 22_____ 23_____ 24 25__________ 26______ 27 28_______ 29__ 30____ 31 32_______ 33____________ 34___ 35 36_ 37_ 38 39 40 41_____ 42____ 43_____ 44_______ 45_ 46 47_______ 48__________ 49_ 50 51_____ 52_ 53_ 54_ 55 56

Chunks:
  TruePositive nam [9,9] = USD (confidence=1.00)
  TruePositive nam [29,31] = Mass Effect 2 (confidence=0.98)
  TruePositive nam [37,37] = USD (confidence=1.00)
  TruePositive nam [54,54] = USD (confidence=1.00)

(ChunkerEvaluator) Sentence #1045 from 00103954 from sent4

Text  : Może więc mobilne granie poprzestawia zasady tworzenia dochodowych ( AB pobrano ponad 50 milionów razy )_ gier ?_
Tokens: 1___ 2___ 3______ 4_____ 5___________ 6_____ 7________ 8__________ 9 10 11_____ 12___ 13 14______ 15__ 16 17__ 18

Chunks:
  FalseNegative nam [10,10] = AB

(ChunkerEvaluator) Sentence #1046 from 00103954 from sent5

Text  : Ten trend był widoczny już kilkanaście miesięcy temu , jednak w_ artykule pojawia się zaskakujący wątek –_ po gry takie jak AB ,_ czy traktowane w_ prasie growej z_ przymrużeniem oka produkcje typu FarmVille sięgają dziś podobno nie tylko „_ niedzielni ”_ gracze ,_ ale też ”_ hardkorowcy ”_ ._
Tokens: 1__ 2____ 3__ 4_______ 5__ 6__________ 7_______ 8___ 9 10____ 11 12______ 13_____ 14_ 15_________ 16___ 17 18 19_ 20___ 21_ 22 23 24_ 25________ 26 27____ 28____ 29 30___________ 31_ 32_______ 33__ 34_______ 35_____ 36__ 37_____ 38_ 39___ 40 41________ 42 43____ 44 45_ 46_ 47 48_________ 49 50

Chunks:
  TruePositive nam [22,22] = AB (confidence=0.99)
  TruePositive nam [34,34] = FarmVille (confidence=1.00)

(ChunkerEvaluator) Sentence #1047 from 00103954 from sent6

Text  : Tak przynajmniej ma to wyglądać w USA .
Tokens: 1__ 2___________ 3_ 4_ 5_______ 6 7__ 8

Chunks:
  TruePositive nam [7,7] = USA (confidence=1.00)

(ChunkerEvaluator) Sentence #1048 from 00103954 from sent7

Text  : Zmieniają się przyzwyczajenia graczy – i być może to jest klucz do zmian ._
Tokens: 1________ 2__ 3______________ 4_____ 5 6 7__ 8___ 9_ 10__ 11___ 12 13___ 14

Chunks:

(ChunkerEvaluator) Sentence #1049 from 00103954 from sent8

Text  : Nie bez znaczenia pozostają też zapewne ceny gier – AB dostarcza innego typu emocji ,_ niż wielkie produkcje na Xboksa czy Playstation ,_ ale też jest to dobra i_ długa zabawa ._
Tokens: 1__ 2__ 3________ 4________ 5__ 6______ 7___ 8___ 9 10 11_______ 12____ 13__ 14____ 15 16_ 17_____ 18_______ 19 20____ 21_ 22_________ 23 24_ 25_ 26__ 27 28___ 29 30___ 31____ 32

Chunks:
  TruePositive nam [10,10] = AB (confidence=0.99)
  TruePositive nam [20,20] = Xboksa (confidence=0.99)
  TruePositive nam [22,22] = Playstation (confidence=1.00)

(ChunkerEvaluator) Sentence #1050 from 00103954 from sent9

Text  : Strzelanie ptakami z procy kosztuje jednak , w zależności od platformy ,_ od dolara do bodajże czterech ._
Tokens: 1_________ 2______ 3 4____ 5_______ 6_____ 7 8 9_________ 10 11_______ 12 13 14____ 15 16_____ 17______ 18

Chunks:

(ChunkerEvaluator) Sentence #1051 from 00103954 from sent10

Text  : To kilkanaście , a nawet kilkadziesiąt razy mniej , niż trzeba zapłacić za nowy ,_ „_ duży ”_ tytuł ._
Tokens: 1_ 2__________ 3 4 5____ 6____________ 7___ 8____ 9 10_ 11____ 12______ 13 14__ 15 16 17__ 18 19___ 20

Chunks:

(ChunkerEvaluator) Sentence #1052 from 00103954 from sent11

Text  : Można spekulować , jak silnie to wszystko wstrząśnie podstawami branży –_ może na przykład przełożyć się na wydłużenie cyklu życia konsol (_ skoro resztki mocy będzie z_ nich wyciskać tylko kilka -_ kilkanaście tytułów w_ roku )_ ._
Tokens: 1____ 2_________ 3 4__ 5_____ 6_ 7_______ 8_________ 9_________ 10____ 11 12__ 13 14______ 15_______ 16_ 17 18________ 19___ 20___ 21____ 22 23___ 24_____ 25__ 26____ 27 28__ 29______ 30___ 31___ 32 33_________ 34_____ 35 36__ 37 38

Chunks:

(ChunkerEvaluator) Sentence #1053 from 00103954 from sent12

Text  : I oczywiście można się zastanawiać , na ile jest to chwilowa aberracja ,_ a_ na ile nowy ,_ silny trend ._
Tokens: 1 2_________ 3____ 4__ 5__________ 6 7_ 8__ 9___ 10 11______ 12_______ 13 14 15 16_ 17__ 18 19___ 20___ 21

Chunks:

2017-06-14 20:20:31,132 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 60 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107280.xml
(ChunkerEvaluator) Sentence #1054 from 00107280 from sent1

Text  : 2007-06-15 : Fotyga : nie możemy zgodzić się na system podwójnej większości
Tokens: 1_________ 2 3_____ 4 5__ 6_____ 7______ 8__ 9_ 10____ 11_______ 12________

Chunks:
  TruePositive nam [3,3] = Fotyga (confidence=0.78)

(ChunkerEvaluator) Sentence #1055 from 00107280 from sent2

Text  : Minister Spraw Zagranicznych Anna Fotyga na dzisiejszym posiedzeniu sejmu oświadczyła ,_ że Polska nie może się zgodzić na liczenie głosów w_ Radzie Unii Europejskiej w_ systemie podwójnej większości ._
Tokens: 1_______ 2____ 3____________ 4___ 5_____ 6_ 7__________ 8__________ 9____ 10_________ 11 12 13____ 14_ 15__ 16_ 17_____ 18 19______ 20____ 21 22____ 23__ 24__________ 25 26______ 27_______ 28________ 29

Chunks:
  TruePositive nam [1,3] = Minister Spraw Zagranicznych (confidence=0.99)
  TruePositive nam [4,5] = Anna Fotyga (confidence=0.98)
  TruePositive nam [13,13] = Polska (confidence=1.00)
  FalsePositive nam [22,24] = Radzie Unii Europejskiej (confidence=1.00) (incorrect boundry)
  FalseNegative nam [9,9] = sejmu
  FalseNegative nam [22,22] = Radzie
  FalseNegative nam [23,24] = Unii Europejskiej

(ChunkerEvaluator) Sentence #1056 from 00107280 from sent3

Text  : Podkreśliła , że w tej kwestii Polska powinna dążyć do osiągnięcia rozwiązania jak najbliższego traktatowi z_ Nicei ._
Tokens: 1__________ 2 3_ 4 5__ 6______ 7_____ 8______ 9____ 10 11_________ 12_________ 13_ 14__________ 15________ 16 17___ 18

Chunks:
  TruePositive nam [7,7] = Polska (confidence=1.00)
  TruePositive nam [17,17] = Nicei (confidence=0.98)

(ChunkerEvaluator) Sentence #1057 from 00107280 from sent4

Text  : „ Traktat z Nicei jest traktatem , który Polsce odpowiada ,_ umożliwia racjonalny wzrost i_ wpływ na podejmowanie decyzji w_ UE ._
Tokens: 1 2______ 3 4____ 5___ 6________ 7 8____ 9_____ 10_______ 11 12_______ 13________ 14____ 15 16___ 17 18__________ 19_____ 20 21 22

Chunks:
  TruePositive nam [4,4] = Nicei (confidence=0.94)
  TruePositive nam [9,9] = Polsce (confidence=0.99)
  TruePositive nam [21,21] = UE (confidence=1.00)

(ChunkerEvaluator) Sentence #1058 from 00107280 from sent5

Text  : ( . . . )
Tokens: 1 2 3 4 5

Chunks:

(ChunkerEvaluator) Sentence #1059 from 00107280 from sent6

Text  : Dlatego zależy nam bardzo , żeby nie odchodzić zbyt daleko od tej pozycji ,_ na którą pozwala nam system zapisany w_ traktacie nicejskim ”_ -_ podkreśliła Fotyga ._
Tokens: 1______ 2_____ 3__ 4_____ 5 6___ 7__ 8________ 9___ 10____ 11 12_ 13_____ 14 15 16___ 17_____ 18_ 19____ 20______ 21 22_______ 23_______ 24 25 26_________ 27____ 28

Chunks:
  TruePositive nam [27,27] = Fotyga (confidence=0.93)

(ChunkerEvaluator) Sentence #1060 from 00107280 from sent7

Text  : Minister stwierdziła , że Polska straci najwięcej na systemie podwójnej większości zapisanym w_ Traktacie Konstytucyjnym i_ dlatego nie może go przyjąć ._
Tokens: 1_______ 2__________ 3 4_ 5_____ 6_____ 7________ 8_ 9_______ 10_______ 11________ 12_______ 13 14_______ 15____________ 16 17_____ 18_ 19__ 20 21_____ 22

Chunks:
  TruePositive nam [5,5] = Polska (confidence=1.00)
  TruePositive nam [14,15] = Traktacie Konstytucyjnym (confidence=1.00)

(ChunkerEvaluator) Sentence #1061 from 00107280 from sent8

Text  : Dodatkowo wyraziła zaniepokojenie , że da on najwięcej korzyści Niemcom ,_ które z_ uwagi na swoje przewodnictwo w_ UE ,_ powinny dbać o_ interesy wszystkich członków Unii ,_ a_ nie tylko o_ swoje ._
Tokens: 1________ 2_______ 3_____________ 4 5_ 6_ 7_ 8________ 9_______ 10_____ 11 12___ 13 14___ 15 16___ 17___________ 18 19 20 21_____ 22__ 23 24______ 25________ 26______ 27__ 28 29 30_ 31___ 32 33___ 34

Chunks:
  TruePositive nam [10,10] = Niemcom (confidence=1.00)
  TruePositive nam [19,19] = UE (confidence=1.00)
  TruePositive nam [27,27] = Unii (confidence=0.85)

(ChunkerEvaluator) Sentence #1062 from 00107280 from sent9

Text  : „ Dobrze by było , gdyby w toku przygotowania szczytu unijnego (_ ._ ._ ._ )_ ,_ prezydencja (_ niemiecka )_ zechciała rozgraniczyć kapelusz narodowy ,_ którym się w_ tej chwili posługuje ,_ od kapelusza instytucjonalnego ,_ unijnego ._
Tokens: 1 2_____ 3_ 4___ 5 6____ 7 8___ 9____________ 10_____ 11______ 12 13 14 15 16 17 18_________ 19 20_______ 21 22_______ 23__________ 24______ 25______ 26 27____ 28_ 29 30_ 31____ 32_______ 33 34 35_______ 36_______________ 37 38______ 39

Chunks:

(ChunkerEvaluator) Sentence #1063 from 00107280 from sent10

Text  : Zadaniem prezydencji jest reprezentowanie całej Unii , każdego państwa członkowskiego ”_ -_ podkreśliła szefowa MSZ ,_ przypominając ,_ że Niemcy do końca czerwca przewodniczą UE ._
Tokens: 1_______ 2__________ 3___ 4______________ 5____ 6___ 7 8______ 9______ 10____________ 11 12 13_________ 14_____ 15_ 16 17___________ 18 19 20____ 21 22___ 23_____ 24__________ 25 26

Chunks:
  TruePositive nam [6,6] = Unii (confidence=0.70)
  TruePositive nam [15,15] = MSZ (confidence=1.00)
  TruePositive nam [20,20] = Niemcy (confidence=1.00)
  TruePositive nam [25,25] = UE (confidence=0.98)

(ChunkerEvaluator) Sentence #1064 from 00107280 from sent11

Text  : Fotyga wykluczyła możliwość odstąpienia polskich negocjatorów od postulatu zmiany systemu ważenia głosów w_ Radzie UE w_ zamian za tzw ._ klauzulę energetyczną ,_ która gwarantuje unijną pomoc państwu członkowskiemu ,_ odciętemu od dostaw surowców energetycznych ._
Tokens: 1_____ 2_________ 3________ 4__________ 5_______ 6___________ 7_ 8________ 9_____ 10_____ 11_____ 12____ 13 14____ 15 16 17____ 18 19_ 20 21______ 22__________ 23 24___ 25________ 26____ 27___ 28_____ 29____________ 30 31_______ 32 33____ 34______ 35____________ 36

Chunks:
  FalsePositive nam [14,15] = Radzie UE (confidence=1.00) (incorrect boundry)
  FalseNegative nam [1,1] = Fotyga
  FalseNegative nam [14,14] = Radzie
  FalseNegative nam [15,15] = UE

2017-06-14 20:20:31,202 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 61 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107284.xml
(ChunkerEvaluator) Sentence #1065 from 00107284 from sent1

Text  : 2007-07-01 : Opozycja krytycznie o zmianie ustawy o TK
Tokens: 1_________ 2 3_______ 4_________ 5 6______ 7_____ 8 9_

Chunks:
  TruePositive nam [9,9] = TK (confidence=0.85)

(ChunkerEvaluator) Sentence #1066 from 00107284 from sent2

Text  : Partie koalicyjne poparły proponowaną przez PiS zmianę ustawy o Trybunale Konstytucyjnym ._
Tokens: 1_____ 2_________ 3______ 4__________ 5____ 6__ 7_____ 8_____ 9 10_______ 11____________ 12

Chunks:
  TruePositive nam [6,6] = PiS (confidence=1.00)
  TruePositive nam [10,11] = Trybunale Konstytucyjnym (confidence=1.00)

(ChunkerEvaluator) Sentence #1067 from 00107284 from sent3

Text  : Dzięki niej prezydent zyskał by wpływ na wybór prezesa TK ._
Tokens: 1_____ 2___ 3________ 4_____ 5_ 6____ 7_ 8____ 9______ 10 11

Chunks:
  TruePositive nam [10,10] = TK (confidence=1.00)

(ChunkerEvaluator) Sentence #1068 from 00107284 from sent4

Text  : Opozycja jest temu przeciwna .
Tokens: 1_______ 2___ 3___ 4________ 5

Chunks:

(ChunkerEvaluator) Sentence #1069 from 00107284 from sent5

Text  : Projekt ustawy nowelizacyjnej o TK został przedstawiony przez PiS w_ piątek (_ 29 czerwca 2007 roku )_ ._
Tokens: 1______ 2_____ 3_____________ 4 5_ 6_____ 7____________ 8____ 9__ 10 11____ 12 13 14_____ 15__ 16__ 17 18

Chunks:
  TruePositive nam [5,5] = TK (confidence=0.99)
  TruePositive nam [9,9] = PiS (confidence=1.00)

(ChunkerEvaluator) Sentence #1070 from 00107284 from sent6

Text  : Przewiduje on m . in . skrócenie kadencji prezesa i_ wiceprezesów TK oraz zobowiązanie sędziów do rozpatrywania skarg w_ kolejności zgłoszenia ._
Tokens: 1_________ 2_ 3 4 5_ 6 7________ 8_______ 9______ 10 11__________ 12 13__ 14__________ 15_____ 16 17___________ 18___ 19 20________ 21________ 22

Chunks:
  TruePositive nam [12,12] = TK (confidence=0.99)

(ChunkerEvaluator) Sentence #1071 from 00107284 from sent7

Text  : Zgodnie z projektem , prezydent będzie wybierał szefów Trybunału co trzy lata ,_ lecz nie na dłużej niż do końca kadencji sędziego Trybunału ._
Tokens: 1______ 2 3________ 4 5________ 6_____ 7_______ 8_____ 9________ 10 11__ 12__ 13 14__ 15_ 16 17____ 18_ 19 20___ 21______ 22______ 23_______ 24

Chunks:
  FalsePositive nam [9,9] = Trybunału (confidence=0.97) (incorrect boundry)
  FalsePositive nam [23,23] = Trybunału (confidence=0.97) (incorrect boundry)

(ChunkerEvaluator) Sentence #1072 from 00107284 from sent8

Text  : Opinie polityków o zmianie ustawy o Trybunale Konstytucyjnym
Tokens: 1_____ 2________ 3 4______ 5_____ 6 7________ 8_____________

Chunks:
  TruePositive nam [7,8] = Trybunale Konstytucyjnym (confidence=0.99)

(ChunkerEvaluator) Sentence #1073 from 00107284 from sent9

Text  : Roman Giertych ( LPR ) : Treścią , istotą tej ustawy jest zmiana polegająca na tym ,_ że wybiera się z_ trzech kandydatów ,_ ale spośród osób ,_ które na walnym zgromadzeniu Trybunału otrzymają największa liczbę głosów ._
Tokens: 1____ 2_______ 3 4__ 5 6 7______ 8 9_____ 10_ 11____ 12__ 13____ 14________ 15 16_ 17 18 19_____ 20_ 21 22____ 23________ 24 25_ 26_____ 27__ 28 29___ 30 31____ 32__________ 33_______ 34_______ 35________ 36____ 37____ 38

Chunks:
  TruePositive nam [1,2] = Roman Giertych (confidence=1.00)
  TruePositive nam [4,4] = LPR (confidence=1.00)
  FalsePositive nam [33,33] = Trybunału (confidence=0.94) (incorrect boundry)

(ChunkerEvaluator) Sentence #1074 from 00107284 from sent10

Text  : Umożliwia to dokonywanie realnego wyboru przez prezydenta .
Tokens: 1________ 2_ 3__________ 4_______ 5_____ 6____ 7_________ 8

Chunks:

(ChunkerEvaluator) Sentence #1075 from 00107284 from sent11

Text  : Marek Jurek ( Prawica RP ) : To jest nerwowo napisana reakcja na wydarzenia bieżące ,_ może wyraz aspiracji jednej konkretnej władzy ,_ ale w_ żadnym wypadku takie propozycje TK nie budują silnego państwa ._
Tokens: 1____ 2____ 3 4______ 5_ 6 7 8_ 9___ 10_____ 11______ 12_____ 13 14________ 15_____ 16 17__ 18___ 19_______ 20____ 21________ 22____ 23 24_ 25 26____ 27_____ 28___ 29________ 30 31_ 32____ 33_____ 34_____ 35

Chunks:
  TruePositive nam [1,2] = Marek Jurek (confidence=1.00)
  TruePositive nam [4,5] = Prawica RP (confidence=0.72)
  TruePositive nam [30,30] = TK (confidence=0.99)

(ChunkerEvaluator) Sentence #1076 from 00107284 from sent12

Text  : Jan Rokita ( PO ) przypomina , że Trybunał Konstytucyjny jest tak skonstruowany aby sędziowie nie łasili się do nikogo ,_ nie czekali na żadną nominację i_ byli całkowicie niezależni ._
Tokens: 1__ 2_____ 3 4_ 5 6_________ 7 8_ 9_______ 10___________ 11__ 12_ 13___________ 14_ 15_______ 16_ 17____ 18_ 19 20____ 21 22_ 23_____ 24 25___ 26_______ 27 28__ 29________ 30________ 31

Chunks:
  TruePositive nam [1,2] = Jan Rokita (confidence=1.00)
  TruePositive nam [4,4] = PO (confidence=1.00)
  TruePositive nam [9,10] = Trybunał Konstytucyjny (confidence=0.99)

(ChunkerEvaluator) Sentence #1077 from 00107284 from sent13

Text  : Stąd według posła PO wpływ prezydenta na wybór prezesa Trybunały jest nie do przyjęcia ._
Tokens: 1___ 2_____ 3____ 4_ 5____ 6_________ 7_ 8____ 9______ 10_______ 11__ 12_ 13 14_______ 15

Chunks:
  FalsePositive nam [10,10] = Trybunały (confidence=0.88) (incorrect boundry)
  FalseNegative nam [4,4] = PO

(ChunkerEvaluator) Sentence #1078 from 00107284 from sent14

Text  : Natomiast Prezes PSL Waldemar Pawlak zauważył , że propozycja zmian w_ ustawie o_ TK wpisuje się w_ sposób sprawowania władzy przez PiS ,_ która jest przekonana ,_ że wszystko jest polityczne ,_ podlega ocenie ,_ nadzorowi i_ kontroli politycznej ._
Tokens: 1________ 2_____ 3__ 4_______ 5_____ 6_______ 7 8_ 9_________ 10___ 11 12_____ 13 14 15_____ 16_ 17 18____ 19_________ 20____ 21___ 22_ 23 24___ 25__ 26________ 27 28 29______ 30__ 31________ 32 33_____ 34____ 35 36_______ 37 38______ 39_________ 40

Chunks:
  TruePositive nam [2,3] = Prezes PSL (confidence=0.90)
  TruePositive nam [4,5] = Waldemar Pawlak (confidence=0.97)
  TruePositive nam [14,14] = TK (confidence=1.00)
  TruePositive nam [22,22] = PiS (confidence=1.00)

2017-06-14 20:20:31,276 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 62 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107287.xml
(ChunkerEvaluator) Sentence #1079 from 00107287 from sent1

Text  : 2007-07-06 : Zakaz handlu w 12 dni świątecznych
Tokens: 1_________ 2 3____ 4_____ 5 6_ 7__ 8___________

Chunks:

(ChunkerEvaluator) Sentence #1080 from 00107287 from sent2

Text  : Posłowie przyjęli nowelizację Kodeksu pracy , wprowadzającą w 12 dni świątecznych w_ roku ustawowy zakaz pracy w_ placówkach handlowych ._
Tokens: 1_______ 2_______ 3__________ 4______ 5____ 6 7____________ 8 9_ 10_ 11__________ 12 13__ 14______ 15___ 16___ 17 18________ 19________ 20

Chunks:
  FalseNegative nam [4,5] = Kodeksu pracy

(ChunkerEvaluator) Sentence #1081 from 00107287 from sent3

Text  : Pracodawcy ostrzegają , że pracę może stracić od 18 do 27 tys ._ osób –_ poinformował portal Money.pl ._
Tokens: 1_________ 2_________ 3 4_ 5____ 6___ 7______ 8_ 9_ 10 11 12_ 13 14__ 15 16__________ 17____ 18______ 19

Chunks:
  TruePositive nam [18,18] = Money.pl (confidence=1.00)

(ChunkerEvaluator) Sentence #1082 from 00107287 from sent4

Text  : Zgodnie z nowelizacją zakaz będzie obowiązywał w : Nowy Rok Święta Wielkiej Nocy 1_ maja 3_ maja pierwszy dzień Zielonych Świątek Boże Ciało 15 sierpnia -_ w_ święto Wniebowzięcia Najświętszej Maryi Panny Wszystkich Świętych (_ 1_ listopada )_ Święto Niepodległości (_ 11 listopada )_ Święta Bożego Narodzenia
Tokens: 1______ 2 3__________ 4____ 5_____ 6__________ 7 8 9___ 10_ 11____ 12______ 13__ 14 15__ 16 17__ 18______ 19___ 20_______ 21_____ 22__ 23___ 24 25______ 26 27 28____ 29___________ 30__________ 31___ 32___ 33________ 34______ 35 36 37_______ 38 39____ 40____________ 41 42 43_______ 44 45____ 46____ 47________

Chunks:
  TruePositive nam [39,40] = Święto Niepodległości (confidence=0.95)
  TruePositive nam [45,47] = Święta Bożego Narodzenia (confidence=0.98)
  FalsePositive nam [9,13] = Nowy Rok Święta Wielkiej Nocy (confidence=0.97) (incorrect boundry)
  FalsePositive nam [20,23] = Zielonych Świątek Boże Ciało (confidence=0.81) (incorrect boundry)
  FalsePositive nam [29,34] = Wniebowzięcia Najświętszej Maryi Panny Wszystkich Świętych (confidence=0.99) (incorrect boundry)
  FalseNegative nam [9,10] = Nowy Rok
  FalseNegative nam [11,13] = Święta Wielkiej Nocy
  FalseNegative nam [20,21] = Zielonych Świątek
  FalseNegative nam [22,23] = Boże Ciało
  FalseNegative nam [29,32] = Wniebowzięcia Najświętszej Maryi Panny
  FalseNegative nam [33,34] = Wszystkich Świętych

(ChunkerEvaluator) Sentence #1083 from 00107287 from sent5

Text  : W te dni będą mogły jednak pracować placówki kultury ,_ oświaty ,_ stacje benzynowe i_ apteki ._
Tokens: 1 2_ 3__ 4___ 5____ 6_____ 7_______ 8_______ 9______ 10 11_____ 12 13____ 14_______ 15 16____ 17

Chunks:

(ChunkerEvaluator) Sentence #1084 from 00107287 from sent6

Text  : W świetle nowelizacji handlować w te dni będą mogli też wszyscy ci ,_ którzy prowadzą jednoosobową firmę i_ nie zatrudniają pracowników ._
Tokens: 1 2______ 3__________ 4________ 5 6_ 7__ 8___ 9____ 10_ 11_____ 12 13 14____ 15______ 16__________ 17___ 18 19_ 20_________ 21_________ 22

Chunks:

(ChunkerEvaluator) Sentence #1085 from 00107287 from sent7

Text  : Konfederacja Pracodawców Polskich nowe przepisy uważa za jawne ograniczenie swobody działalności gospodarczej ._
Tokens: 1___________ 2__________ 3_______ 4___ 5_______ 6____ 7_ 8____ 9___________ 10_____ 11__________ 12__________ 13

Chunks:
  TruePositive nam [1,3] = Konfederacja Pracodawców Polskich (confidence=0.59)

(ChunkerEvaluator) Sentence #1086 from 00107287 from sent8

Text  : " Przedsiębiorca powinien mieć swobodę w ustalaniu dni czy godzin funkcjonowania swojej firmy "_ -_ uważa Andrzej Malinowski ,_ prezydent KPP ._
Tokens: 1 2_____________ 3_______ 4___ 5______ 6 7________ 8__ 9__ 10____ 11____________ 12____ 13___ 14 15 16___ 17_____ 18________ 19 20_______ 21_ 22

Chunks:
  TruePositive nam [17,18] = Andrzej Malinowski (confidence=1.00)
  TruePositive nam [21,21] = KPP (confidence=0.99)

(ChunkerEvaluator) Sentence #1087 from 00107287 from sent9

Text  : Konfederacja zauważa jednak , że obowiązujące prawo pozwala pracownikowi odmówić pracy w_ święto religijne bez negatywnych konsekwencji ._
Tokens: 1___________ 2______ 3_____ 4 5_ 6___________ 7____ 8______ 9___________ 10_____ 11___ 12 13____ 14_______ 15_ 16_________ 17__________ 18

Chunks:

(ChunkerEvaluator) Sentence #1088 from 00107287 from sent10

Text  : Zobacz też
Tokens: 1_____ 2__

Chunks:

(ChunkerEvaluator) Sentence #1089 from 00107287 from sent11

Text  : Praca w święta ? , 5 lipca 2007
Tokens: 1____ 2 3_____ 4 5 6 7____ 8___

Chunks:

2017-06-14 20:20:31,330 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 63 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107307.xml
(ChunkerEvaluator) Sentence #1090 from 00107307 from sent1

Text  : 2008-08-28 : BATE Borysów w Lidze Mistrzów
Tokens: 1_________ 2 3___ 4______ 5 6____ 7_______

Chunks:
  TruePositive nam [3,4] = BATE Borysów (confidence=1.00)
  TruePositive nam [6,7] = Lidze Mistrzów (confidence=1.00)

(ChunkerEvaluator) Sentence #1091 from 00107307 from sent2

Text  : BATE Borysów zagra w fazie grupowej piłkarskiej Ligi Mistrzów ._
Tokens: 1___ 2______ 3____ 4 5____ 6_______ 7__________ 8___ 9_______ 10

Chunks:
  TruePositive nam [1,2] = BATE Borysów (confidence=0.98)
  TruePositive nam [8,9] = Ligi Mistrzów (confidence=1.00)

(ChunkerEvaluator) Sentence #1092 from 00107307 from sent3

Text  : Po sensacyjnym wyeliminowaniu Anderlechtu Bruksela w drugiej rundzie eliminacyjnej ,_ w_ trzeciej Białorusini sprawili kolejną niespodziankę ,_ odprawiając z_ kwitkiem Levskiego Sofia ._
Tokens: 1_ 2__________ 3_____________ 4__________ 5_______ 6 7______ 8______ 9____________ 10 11 12______ 13_________ 14______ 15_____ 16___________ 17 18_________ 19 20______ 21_______ 22___ 23

Chunks:
  TruePositive nam [4,5] = Anderlechtu Bruksela (confidence=1.00)
  TruePositive nam [13,13] = Białorusini (confidence=1.00)
  TruePositive nam [21,22] = Levskiego Sofia (confidence=1.00)

(ChunkerEvaluator) Sentence #1093 from 00107307 from sent4

Text  : W Bułgarii BATE wygrało 1 : 0 , a w_ rewanżu na własnym stadionie prowadziło od 14 ._ minuty po golu Sosnovskiego ._
Tokens: 1 2_______ 3___ 4______ 5 6 7 8 9 10 11_____ 12 13_____ 14_______ 15________ 16 17 18 19____ 20 21__ 22__________ 23

Chunks:
  TruePositive nam [22,22] = Sosnovskiego (confidence=1.00)
  FalsePositive nam [2,3] = Bułgarii BATE (confidence=1.00) (incorrect boundry)
  FalseNegative nam [2,2] = Bułgarii
  FalseNegative nam [3,3] = BATE

(ChunkerEvaluator) Sentence #1094 from 00107307 from sent5

Text  : W 39 . minucie wyrównał Gadzhev , a po chwili drugą żółtą ,_ a_ w_ konsekwencji czerwoną kartkę otrzymał zawodnik gospodarzy ,_ Bliznyuk ._
Tokens: 1 2_ 3 4______ 5_______ 6______ 7 8 9_ 10____ 11___ 12___ 13 14 15 16__________ 17______ 18____ 19______ 20______ 21________ 22 23______ 24

Chunks:
  TruePositive nam [6,6] = Gadzhev (confidence=1.00)
  TruePositive nam [23,23] = Bliznyuk (confidence=0.95)

(ChunkerEvaluator) Sentence #1095 from 00107307 from sent6

Text  : Białorusini zdołali jednak dowieźć korzystny rezultat do końca i przebojem wdarli się do "_ piłkarskiego raju "_ ._
Tokens: 1__________ 2______ 3_____ 4______ 5________ 6_______ 7_ 8____ 9 10_______ 11____ 12_ 13 14 15__________ 16__ 17 18

Chunks:
  FalseNegative nam [1,1] = Białorusini

(ChunkerEvaluator) Sentence #1096 from 00107307 from sent7

Text  : Pozostałe mecze :
Tokens: 1________ 2____ 3

Chunks:

(ChunkerEvaluator) Sentence #1097 from 00107307 from sent8

Text  : BATE Borisow - Levski Sofia 1 : 1 ( 1_ :_ 1_ )_
Tokens: 1___ 2______ 3 4_____ 5____ 6 7 8 9 10 11 12 13

Chunks:
  TruePositive nam [1,2] = BATE Borisow (confidence=1.00)
  TruePositive nam [4,5] = Levski Sofia (confidence=0.93)

(ChunkerEvaluator) Sentence #1098 from 00107307 from sent9

Text  : W I meczu 1 : 0 - awans BATE
Tokens: 1 2 3____ 4 5 6 7 8____ 9___

Chunks:
  TruePositive nam [9,9] = BATE (confidence=0.93)

(ChunkerEvaluator) Sentence #1099 from 00107307 from sent10

Text  : FK Kowno - Aab Aalborg 0 : 2 ( 0_ :_ 0_ )_
Tokens: 1_ 2____ 3 4__ 5______ 6 7 8 9 10 11 12 13

Chunks:
  TruePositive nam [1,2] = FK Kowno (confidence=1.00)
  TruePositive nam [4,5] = Aab Aalborg (confidence=0.93)

(ChunkerEvaluator) Sentence #1100 from 00107307 from sent11

Text  : W I meczu 0 : 2 - awans Aalborga
Tokens: 1 2 3____ 4 5 6 7 8____ 9_______

Chunks:
  TruePositive nam [9,9] = Aalborga (confidence=0.84)

(ChunkerEvaluator) Sentence #1101 from 00107307 from sent12

Text  : Dynamo Kijów - Spartak Moskwa 4 : 1 ( 2_ :_ 0_ )_
Tokens: 1_____ 2____ 3 4______ 5_____ 6 7 8 9 10 11 12 13

Chunks:
  TruePositive nam [1,2] = Dynamo Kijów (confidence=0.79)
  TruePositive nam [4,5] = Spartak Moskwa (confidence=0.99)

(ChunkerEvaluator) Sentence #1102 from 00107307 from sent13

Text  : W I meczu 4 : 1 - awans Dynama Kijów
Tokens: 1 2 3____ 4 5 6 7 8____ 9_____ 10___

Chunks:
  TruePositive nam [9,10] = Dynama Kijów (confidence=1.00)

(ChunkerEvaluator) Sentence #1103 from 00107307 from sent14

Text  : Steaua Bukareszt - Galatasaray Stambuł 1 : 0 ( 0_ :_ 0_ )_
Tokens: 1_____ 2________ 3 4__________ 5______ 6 7 8 9 10 11 12 13

Chunks:
  TruePositive nam [1,2] = Steaua Bukareszt (confidence=0.89)
  TruePositive nam [4,5] = Galatasaray Stambuł (confidence=0.93)

(ChunkerEvaluator) Sentence #1104 from 00107307 from sent15

Text  : W I meczu 2 : 2 - awans Steauy
Tokens: 1 2 3____ 4 5 6 7 8____ 9_____

Chunks:
  TruePositive nam [9,9] = Steauy (confidence=0.66)

(ChunkerEvaluator) Sentence #1105 from 00107307 from sent16

Text  : Fenerbahce Istambuł - Partizan Belgrad 2 : 1 ( 1_ :_ 0_ )_
Tokens: 1_________ 2_______ 3 4_______ 5______ 6 7 8 9 10 11 12 13

Chunks:
  TruePositive nam [1,2] = Fenerbahce Istambuł (confidence=0.97)
  TruePositive nam [4,5] = Partizan Belgrad (confidence=0.97)

(ChunkerEvaluator) Sentence #1106 from 00107307 from sent17

Text  : W I meczu 2 : 2 - awans Fenerbahce
Tokens: 1 2 3____ 4 5 6 7 8____ 9_________

Chunks:
  TruePositive nam [9,9] = Fenerbahce (confidence=0.89)

(ChunkerEvaluator) Sentence #1107 from 00107307 from sent18

Text  : FC Basel - Vitoria Guimaraes 2 : 1 ( 1_ :_ 1_ )_
Tokens: 1_ 2____ 3 4______ 5________ 6 7 8 9 10 11 12 13

Chunks:
  TruePositive nam [1,2] = FC Basel (confidence=1.00)
  TruePositive nam [4,5] = Vitoria Guimaraes (confidence=0.99)

(ChunkerEvaluator) Sentence #1108 from 00107307 from sent19

Text  : W I meczu 0 : 0 - awans FC Basel
Tokens: 1 2 3____ 4 5 6 7 8____ 9_ 10___

Chunks:
  TruePositive nam [9,10] = FC Basel (confidence=1.00)

(ChunkerEvaluator) Sentence #1109 from 00107307 from sent20

Text  : Atletico Madryt - Schalke Gelsenkirchen 4 : 0 ( 1_ :_ 0_ )_
Tokens: 1_______ 2_____ 3 4______ 5____________ 6 7 8 9 10 11 12 13

Chunks:
  TruePositive nam [1,2] = Atletico Madryt (confidence=0.93)
  TruePositive nam [4,5] = Schalke Gelsenkirchen (confidence=0.94)

(ChunkerEvaluator) Sentence #1110 from 00107307 from sent21

Text  : W I meczu 0 : 1 - awans Atletico
Tokens: 1 2 3____ 4 5 6 7 8____ 9_______

Chunks:
  TruePositive nam [9,9] = Atletico (confidence=0.87)

(ChunkerEvaluator) Sentence #1111 from 00107307 from sent22

Text  : Dynamo Zagrzeb - Szachtar Donieck 1 : 3 ( 0_ :_ 1_ )_
Tokens: 1_____ 2______ 3 4_______ 5______ 6 7 8 9 10 11 12 13

Chunks:
  TruePositive nam [1,2] = Dynamo Zagrzeb (confidence=0.81)
  TruePositive nam [4,5] = Szachtar Donieck (confidence=0.99)

(ChunkerEvaluator) Sentence #1112 from 00107307 from sent23

Text  : W I meczu 0 : 2 - awans Szachtar
Tokens: 1 2 3____ 4 5 6 7 8____ 9_______

Chunks:
  TruePositive nam [9,9] = Szachtar (confidence=0.92)

(ChunkerEvaluator) Sentence #1113 from 00107307 from sent24

Text  : Olympique Marsylia - Brann Bergen 2 : 1 ( 0_ :_ 0_ )_
Tokens: 1________ 2_______ 3 4____ 5_____ 6 7 8 9 10 11 12 13

Chunks:
  TruePositive nam [1,2] = Olympique Marsylia (confidence=0.99)
  TruePositive nam [4,5] = Brann Bergen (confidence=0.96)

(ChunkerEvaluator) Sentence #1114 from 00107307 from sent25

Text  : W I meczu 1 : 0 - awans Marsylia
Tokens: 1 2 3____ 4 5 6 7 8____ 9_______

Chunks:
  TruePositive nam [9,9] = Marsylia (confidence=0.99)

(ChunkerEvaluator) Sentence #1115 from 00107307 from sent26

Text  : Olympiakos Pireus - Anorthosis Famagusta 1 : 0 ( 0_ :_ 0_ )_
Tokens: 1_________ 2_____ 3 4_________ 5________ 6 7 8 9 10 11 12 13

Chunks:
  TruePositive nam [1,2] = Olympiakos Pireus (confidence=0.97)
  TruePositive nam [4,5] = Anorthosis Famagusta (confidence=0.96)

(ChunkerEvaluator) Sentence #1116 from 00107307 from sent27

Text  : W I meczu 0 : 3 - awans Anorthosis
Tokens: 1 2 3____ 4 5 6 7 8____ 9_________

Chunks:
  TruePositive nam [9,9] = Anorthosis (confidence=0.88)

(ChunkerEvaluator) Sentence #1117 from 00107307 from sent28

Text  : Slavia Praga - Fiorentina 0 : 0
Tokens: 1_____ 2____ 3 4_________ 5 6 7

Chunks:
  TruePositive nam [1,2] = Slavia Praga (confidence=0.97)
  TruePositive nam [4,4] = Fiorentina (confidence=0.88)

(ChunkerEvaluator) Sentence #1118 from 00107307 from sent29

Text  : W I meczu 0 : 2 - awans Fiorentina
Tokens: 1 2 3____ 4 5 6 7 8____ 9_________

Chunks:
  TruePositive nam [9,9] = Fiorentina (confidence=0.88)

(ChunkerEvaluator) Sentence #1119 from 00107307 from sent30

Text  : Arsenal Londyn - FC Twente 4 : 0 ( 1_ :_ 0_ )_
Tokens: 1______ 2_____ 3 4_ 5_____ 6 7 8 9 10 11 12 13

Chunks:
  TruePositive nam [1,2] = Arsenal Londyn (confidence=0.98)
  TruePositive nam [4,5] = FC Twente (confidence=1.00)

(ChunkerEvaluator) Sentence #1120 from 00107307 from sent31

Text  : W I meczu 2 : 0 - awans Arsenal
Tokens: 1 2 3____ 4 5 6 7 8____ 9______

Chunks:
  TruePositive nam [9,9] = Arsenal (confidence=0.89)

(ChunkerEvaluator) Sentence #1121 from 00107307 from sent32

Text  : Liverpool - Standard Liege 1 : 0 pd . (_ 0_ :_ 0_ ,_ 0_ :_ 0_ )_
Tokens: 1________ 2 3_______ 4____ 5 6 7 8_ 9 10 11 12 13 14 15 16 17 18

Chunks:
  TruePositive nam [1,1] = Liverpool (confidence=0.80)
  TruePositive nam [3,4] = Standard Liege (confidence=0.58)

(ChunkerEvaluator) Sentence #1122 from 00107307 from sent33

Text  : W I meczu 0 : 0 - awans Liverpool
Tokens: 1 2 3____ 4 5 6 7 8____ 9________

Chunks:
  TruePositive nam [9,9] = Liverpool (confidence=0.97)

(ChunkerEvaluator) Sentence #1123 from 00107307 from sent34

Text  : Artmedia - Juventus 1 : 1
Tokens: 1_______ 2 3_______ 4 5 6

Chunks:
  TruePositive nam [1,1] = Artmedia (confidence=0.91)
  TruePositive nam [3,3] = Juventus (confidence=0.72)

(ChunkerEvaluator) Sentence #1124 from 00107307 from sent35

Text  : W I meczu 0 : 4 - awans Juventus
Tokens: 1 2 3____ 4 5 6 7 8____ 9_______

Chunks:
  TruePositive nam [9,9] = Juventus (confidence=0.82)

(ChunkerEvaluator) Sentence #1125 from 00107307 from sent36

Text  : Wisła - Barcelona 1 : 0
Tokens: 1____ 2 3________ 4 5 6

Chunks:
  TruePositive nam [1,1] = Wisła (confidence=0.76)
  TruePositive nam [3,3] = Barcelona (confidence=0.99)

(ChunkerEvaluator) Sentence #1126 from 00107307 from sent37

Text  : W I meczu 0 : 4 - awans Barcelona
Tokens: 1 2 3____ 4 5 6 7 8____ 9________

Chunks:
  TruePositive nam [9,9] = Barcelona (confidence=0.98)

(ChunkerEvaluator) Sentence #1127 from 00107307 from sent38

Text  : Sparta Praga - Panathinaikos 0 : 1
Tokens: 1_____ 2____ 3 4____________ 5 6 7

Chunks:
  TruePositive nam [1,2] = Sparta Praga (confidence=0.93)
  TruePositive nam [4,4] = Panathinaikos (confidence=0.50)

(ChunkerEvaluator) Sentence #1128 from 00107307 from sent39

Text  : W I meczu Panathinaikos - Sparta Praga 2 : 1_
Tokens: 1 2 3____ 4____________ 5 6_____ 7____ 8 9 10

Chunks:
  TruePositive nam [4,4] = Panathinaikos (confidence=0.88)
  TruePositive nam [6,7] = Sparta Praga (confidence=0.95)

(ChunkerEvaluator) Sentence #1129 from 00107307 from sent40

Text  : Źródła
Tokens: 1_____

Chunks:

(ChunkerEvaluator) Sentence #1130 from 00107307 from sent41

Text  : BATE Borisow w LM !
Tokens: 1___ 2______ 3 4_ 5

Chunks:
  TruePositive nam [1,2] = BATE Borisow (confidence=1.00)
  TruePositive nam [4,4] = LM (confidence=0.97)

2017-06-14 20:20:31,433 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 64 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107309.xml
(ChunkerEvaluator) Sentence #1131 from 00107309 from sent1

Text  : 2008-09-04 : System odnajdzie wzywającego pomocy
Tokens: 1_________ 2 3_____ 4________ 5__________ 6_____

Chunks:

(ChunkerEvaluator) Sentence #1132 from 00107309 from sent2

Text  : Zmiana prawa - platforma informatyczna , która umożliwi identyfikację i_ zlokalizowanie osób dzwoniących pod numer 112 ,_ będzie gotowa dopiero na wiosnę 2009 r_ ._ ,_ pisze Gazeta Prawna ._
Tokens: 1_____ 2____ 3 4________ 5____________ 6 7____ 8_______ 9____________ 10 11____________ 12__ 13_________ 14_ 15___ 16_ 17 18____ 19____ 20_____ 21 22____ 23__ 24 25 26 27___ 28____ 29____ 30

Chunks:
  TruePositive nam [28,29] = Gazeta Prawna (confidence=1.00)

(ChunkerEvaluator) Sentence #1133 from 00107309 from sent3

Text  : Osoba dzwoniąca pod numer 112 i wzywająca pomocy zostanie jednocześnie zlokalizowana i_ zidentyfikowana ._
Tokens: 1____ 2________ 3__ 4____ 5__ 6 7________ 8_____ 9_______ 10__________ 11___________ 12 13_____________ 14

Chunks:

(ChunkerEvaluator) Sentence #1134 from 00107309 from sent4

Text  : Przedsiębiorcy telekomunikacyjni posiadający powyżej 1 miliona abonentów przekażą ich dane do systemów centrów powiadamiania ratunkowego ._
Tokens: 1_____________ 2________________ 3__________ 4______ 5 6______ 7________ 8_______ 9__ 10__ 11 12______ 13_____ 14___________ 15_________ 16

Chunks:

(ChunkerEvaluator) Sentence #1135 from 00107309 from sent5

Text  : Informacje na temat lokalizacji abonenta będą przesyłane co najmniej dwoma łączami telekomunikacyjnymi na każdorazowe zapytanie służb powołanych do niesienia pomocy ._
Tokens: 1_________ 2_ 3____ 4__________ 5_______ 6___ 7_________ 8_ 9_______ 10___ 11_____ 12_________________ 13 14_________ 15_______ 16___ 17________ 18 19_______ 20____ 21

Chunks:

(ChunkerEvaluator) Sentence #1136 from 00107309 from sent6

Text  : System zapewni gromadzenie i przetwarzanie danych o przynależności numeru telefonicznego do przedsiębiorcy telekomunikacyjnego oraz czasie jego udostępnienia w_ okresie ostatnich 12 miesięcy ._
Tokens: 1_____ 2______ 3__________ 4 5____________ 6_____ 7 8_____________ 9_____ 10____________ 11 12____________ 13_________________ 14__ 15____ 16__ 17___________ 18 19_____ 20_______ 21 22______ 23

Chunks:

(ChunkerEvaluator) Sentence #1137 from 00107309 from sent7

Text  : Za jego obsługę , administrowanie i serwis techniczny będzie odpowiedzialny UKE ._
Tokens: 1_ 2___ 3______ 4 5______________ 6 7_____ 8_________ 9_____ 10____________ 11_ 12

Chunks:
  TruePositive nam [11,11] = UKE (confidence=0.98)

(ChunkerEvaluator) Sentence #1138 from 00107309 from sent8

Text  : System lokalizacji umożliwi wyłapywanie i karanie osób dokonujących fałszywych zgłoszeń ._
Tokens: 1_____ 2__________ 3_______ 4__________ 5 6______ 7___ 8___________ 9_________ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #1139 from 00107309 from sent9

Text  : Pozwoli też na szybkie uruchomienie służb ratowniczych i lepszą organizację ich pracy ._
Tokens: 1______ 2__ 3_ 4______ 5___________ 6____ 7___________ 8 9_____ 10_________ 11_ 12___ 13

Chunks:

(ChunkerEvaluator) Sentence #1140 from 00107309 from sent10

Text  : Ratownicy będą mogli dotrzeć do wzywającego pomocy nawet wtedy ,_ gdy nie poda on swojego położenia ._
Tokens: 1________ 2___ 3____ 4______ 5_ 6__________ 7_____ 8____ 9____ 10 11_ 12_ 13__ 14 15_____ 16_______ 17

Chunks:

(ChunkerEvaluator) Sentence #1141 from 00107309 from sent11

Text  : Operatorzy już dzisiaj mają możliwości techniczne , by ustalić lokalizację dzwoniącego ._
Tokens: 1_________ 2__ 3______ 4___ 5_________ 6_________ 7 8_ 9______ 10_________ 11_________ 12

Chunks:

(ChunkerEvaluator) Sentence #1142 from 00107309 from sent12

Text  : Potrzeba na to jednak znacznie dużo więcej czasu .
Tokens: 1_______ 2_ 3_ 4_____ 5_______ 6___ 7_____ 8____ 9

Chunks:

(ChunkerEvaluator) Sentence #1143 from 00107309 from sent13

Text  : Najpierw operator musi ustalić , do jakiej telefonii komórkowej należy numer ,_ z_ którego dzwoniono ._
Tokens: 1_______ 2_______ 3___ 4______ 5 6_ 7_____ 8________ 9_________ 10____ 11___ 12 13 14_____ 15_______ 16

Chunks:

(ChunkerEvaluator) Sentence #1144 from 00107309 from sent14

Text  : Po zalogowaniu na stronę przedsiębiorcy telekomunikacyjnego możliwa jest dopiero lokalizacja abonenta ._
Tokens: 1_ 2__________ 3_ 4_____ 5_____________ 6__________________ 7______ 8___ 9______ 10_________ 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #1145 from 00107309 from sent15

Text  : Od wiosny przyszłego roku te informacje będą dostępne już w_ chwili połączenia z_ numerem 112 ._
Tokens: 1_ 2_____ 3_________ 4___ 5_ 6_________ 7___ 8_______ 9__ 10 11____ 12________ 13 14_____ 15_ 16

Chunks:

(ChunkerEvaluator) Sentence #1146 from 00107309 from sent16

Text  : System ma być doskonalony do 2010 roku .
Tokens: 1_____ 2_ 3__ 4__________ 5_ 6___ 7___ 8

Chunks:

(ChunkerEvaluator) Sentence #1147 from 00107309 from sent17

Text  : 13 mln zł wyniesie minimalny koszt utworzenia platformy lokalizacyjno -_ informacyjnej 3_ mln zł wyniesie roczny koszt administrowania systemem
Tokens: 1_ 2__ 3_ 4_______ 5________ 6____ 7_________ 8________ 9____________ 10 11___________ 12 13_ 14 15______ 16____ 17___ 18_____________ 19______

Chunks:
  TruePositive nam [3,3] = zł (confidence=0.86)
  TruePositive nam [14,14] = zł (confidence=0.98)

2017-06-14 20:20:31,501 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 65 from 65: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107323.xml
(ChunkerEvaluator) Sentence #1148 from 00107323 from sent1

Text  : 2008-12-22 : Kryzys finansowy odbija się na WOŚP
Tokens: 1_________ 2 3_____ 4________ 5_____ 6__ 7_ 8___

Chunks:
  TruePositive nam [8,8] = WOŚP (confidence=0.97)

(ChunkerEvaluator) Sentence #1149 from 00107323 from sent2

Text  : Wielka Orkiestra Świątecznej Pomocy wciąż szuka sponsorów styczniowego finału ._
Tokens: 1_____ 2________ 3__________ 4_____ 5____ 6____ 7________ 8___________ 9_____ 10

Chunks:
  TruePositive nam [1,4] = Wielka Orkiestra Świątecznej Pomocy (confidence=0.81)

(ChunkerEvaluator) Sentence #1150 from 00107323 from sent3

Text  : Firmy ze względu na kryzys , przekazują głównie dary rzeczowe ._
Tokens: 1____ 2_ 3______ 4_ 5_____ 6 7_________ 8______ 9___ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #1151 from 00107323 from sent4

Text  : Jednak do zorganizowania koncertów potrzebna jest gotówka .
Tokens: 1_____ 2_ 3_____________ 4________ 5________ 6___ 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #1152 from 00107323 from sent5

Text  : " Gazeta Wyborcza " podaje , że firmy nie są już w_ stanie wspierać Orkiestry tak jak w_ poprzednich latach ._
Tokens: 1 2_____ 3_______ 4 5_____ 6 7_ 8____ 9__ 10 11_ 12 13____ 14______ 15_______ 16_ 17_ 18 19_________ 20____ 21

Chunks:
  TruePositive nam [2,3] = Gazeta Wyborcza (confidence=1.00)
  FalsePositive nam [15,15] = Orkiestry (confidence=0.98) (incorrect boundry)

(ChunkerEvaluator) Sentence #1153 from 00107323 from sent6

Text  : Przedstawiciele działów marketingu tłumaczą się trudną sytuację ekonomiczną .
Tokens: 1______________ 2______ 3_________ 4_______ 5__ 6_____ 7_______ 8__________ 9

Chunks:

(ChunkerEvaluator) Sentence #1154 from 00107323 from sent7

Text  : Monika Stankiewicz , koordynator ds . sponsoringu sztabu Orkiestry w_ Olsztynie stwierdza :_ „_ Mamy dokładnie taką samą sytuację jak w_ Toruniu ._
Tokens: 1_____ 2__________ 3 4__________ 5_ 6 7__________ 8_____ 9________ 10 11_______ 12_______ 13 14 15__ 16_______ 17__ 18__ 19______ 20_ 21 22_____ 23

Chunks:
  TruePositive nam [1,2] = Monika Stankiewicz (confidence=1.00)
  TruePositive nam [11,11] = Olsztynie (confidence=1.00)
  TruePositive nam [22,22] = Toruniu (confidence=0.99)
  FalsePositive nam [9,9] = Orkiestry (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #1155 from 00107323 from sent8

Text  : Firmy chętnie dają wsparcie rzeczowe , gadżety , jedzenie ,_ bo to mogą wrzucić w_ koszty ._
Tokens: 1____ 2______ 3___ 4_______ 5_______ 6 7______ 8 9_______ 10 11 12 13__ 14_____ 15 16____ 17

Chunks:

(ChunkerEvaluator) Sentence #1156 from 00107323 from sent9

Text  : Z gotówką jest gorzej .
Tokens: 1 2______ 3___ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #1157 from 00107323 from sent10

Text  : Przedsiębiorstwa tłumaczą się światowym kryzysem ” .
Tokens: 1_______________ 2_______ 3__ 4________ 5_______ 6 7

Chunks:

(ChunkerEvaluator) Sentence #1158 from 00107323 from sent11

Text  : Sytuacja wygląda podobnie w Poznaniu , czy w Lublinie ._
Tokens: 1_______ 2______ 3_______ 4 5_______ 6 7__ 8 9_______ 10

Chunks:
  TruePositive nam [5,5] = Poznaniu (confidence=1.00)
  TruePositive nam [9,9] = Lublinie (confidence=0.99)

(ChunkerEvaluator) Sentence #1159 from 00107323 from sent12

Text  : Gotówka od sponsorów potrzebna jest na organizację bezpłatnych koncertów i_ imprez XVII Finału WOŚP ,_ który odbędzie się 11 stycznia ._
Tokens: 1______ 2_ 3________ 4________ 5___ 6_ 7__________ 8__________ 9________ 10 11____ 12__ 13____ 14__ 15 16___ 17______ 18_ 19 20______ 21

Chunks:
  TruePositive nam [12,14] = XVII Finału WOŚP (confidence=0.51)
  FalsePositive nam [1,1] = Gotówka (confidence=0.57) (incorrect boundry)

(ChunkerEvaluator) Sentence #1160 from 00107323 from sent13

Text  : Pieniądze będą zbierane na wczesne wykrywanie chorób nowotworowych u dzieci ._
Tokens: 1________ 2___ 3_______ 4_ 5______ 6_________ 7_____ 8____________ 9 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #1161 from 00107323 from sent14

Text  : Zobacz też
Tokens: 1_____ 2__

Chunks:

(ChunkerEvaluator) Sentence #1162 from 00107323 from sent15

Text  : Nie będzie finału WOŚP we Wrocławiu ? , 24 grudnia 2008
Tokens: 1__ 2_____ 3_____ 4___ 5_ 6________ 7 8 9_ 10_____ 11__

Chunks:
  TruePositive nam [4,4] = WOŚP (confidence=0.92)
  TruePositive nam [6,6] = Wrocławiu (confidence=1.00)

======================================================================================
# Exact match evaluation -- annotation span and types evaluation
======================================================================================
        Annotation                     &      TP &      FP &      FN & Precision & Recall  & F$_1$   \\
\hline
        nam                            &     700 &     126 &     153 &    84.75% &  82.06% &  83.38% \\
\hline
        *TOTAL*                        &     700 &     126 &     153 &    84.75% &  82.06% &  83.38% \\


======================================================================================
# Annotation span evaluation (annotation types are ignored)
======================================================================================
        Annotation                     &      TP &      FP &      FN & Precision & Recall  & F$_1$   \\
\hline
        *TOTAL*                        &     700 &     126 &     153 &    84.75% &  82.06% &  83.38% \\


======================================================================================
# MUC match evaluation
======================================================================================
        Annotation                     &     COR &     ACT &     POS & Precision & Recall  & F$_1$   \\
\hline
        nam                            &    1471 &     181 &     223 &    89.04% &  86.84% &  87.93% \\
\hline
        *TOTAL*                        &    1471 &     181 &     223 &    89.04% &  86.84% &  87.93% \\


====================================================
Processing time
====================================================
1) Model loading        : --h 03m 15s (195874265961ns) 
2) Data reading         : --h --m 00s (168598487ns) 
3) Feature generation   : --h --m 00s (929081772ns) 
4) Chunking             : --h --m 01s (1936955868ns) 
5) Evaluation           : --h --m 01s (1863024306ns) (not in total time)
----------------------------------------------------
## Total time             --h 03m 18s (198908902088ns)
----------------------------------------------------
Tokens           :    18466
Text kB          :      112.86
Tokens  / second :       92.84
Text kB / second :        0.57
----------------------------------------------------
***************************************** FOLD 7 *****************************************
2017-06-14 20:20:31,551 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 616: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100527.xml
2017-06-14 20:20:31,557 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 2 from 616: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100531.xml
2017-06-14 20:20:31,565 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 3 from 616: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101201.xml
2017-06-14 20:20:31,569 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 616: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101234.xml
2017-06-14 20:20:31,593 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 616: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101263.xml
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2017-06-14 20:20:40,004 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 554 from 616: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101219.xml
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2017-06-14 20:20:40,050 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 558 from 616: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101265.xml
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2017-06-14 20:20:40,183 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 572 from 616: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101544.xml
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2017-06-14 20:20:40,312 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 579 from 616: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101766.xml
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2017-06-14 20:20:40,359 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 581 from 616: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101841.xml
2017-06-14 20:20:40,367 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 582 from 616: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101848.xml
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2017-06-14 20:20:40,384 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 584 from 616: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101877.xml
2017-06-14 20:20:40,402 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 585 from 616: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101936.xml
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2017-06-14 20:20:41,178 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00099883.xml
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2017-06-14 20:20:41,764 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 36 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102272.xml
2017-06-14 20:20:41,770 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 37 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102401.xml
2017-06-14 20:20:41,776 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 38 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102416.xml
2017-06-14 20:20:41,783 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 39 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102432.xml
2017-06-14 20:20:41,798 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 40 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102434.xml
2017-06-14 20:20:41,810 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 41 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102442.xml
2017-06-14 20:20:41,819 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 42 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102445.xml
2017-06-14 20:20:41,825 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 43 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102476.xml
2017-06-14 20:20:41,829 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 44 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102486.xml
2017-06-14 20:20:41,838 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 45 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102489.xml
2017-06-14 20:20:41,850 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 46 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102506.xml
2017-06-14 20:20:41,869 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 47 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102507.xml
2017-06-14 20:20:41,883 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 48 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102681.xml
2017-06-14 20:20:41,896 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 49 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102697.xml
2017-06-14 20:20:41,911 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 50 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102700.xml
2017-06-14 20:20:41,917 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 51 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103641.xml
2017-06-14 20:20:41,940 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 52 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103707.xml
2017-06-14 20:20:41,957 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 53 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103739.xml
2017-06-14 20:20:41,964 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 54 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103745.xml
2017-06-14 20:20:41,969 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 55 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103878.xml
2017-06-14 20:20:41,989 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 56 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103923.xml
2017-06-14 20:20:42,012 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 57 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107242.xml
2017-06-14 20:20:42,032 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 58 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107250.xml
2017-06-14 20:20:42,052 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 59 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107255.xml
2017-06-14 20:20:42,069 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 60 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107291.xml
2017-06-14 20:20:42,085 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 61 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107322.xml
2017-06-14 20:20:42,093 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 62 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107346.xml
2017-06-14 20:20:42,105 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 63 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107350.xml
2017-06-14 20:20:42,117 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 64 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107356.xml
-> Setting up chunker: chunker_c1
(TokenFeatureGenerator) Loading features...
[orth, base, ctag, synonym, hypernym-1, hypernym-2, hypernym-3, top4hyper-1, top4hyper-2, top4hyper-3, class, case, number, gender, pattern, prefix-1, prefix-2, prefix-3, prefix-4, suffix-1, suffix-2, suffix-3, suffix-4, all_alphanumeric, all_digits, all_letters, all_upper, has_upper_case, has_lower_case, has_symbol, has_digit, starts_with_upper_case, starts_with_lower_case, starts_with_symbol, starts_with_digit, is_number, no_alphanumeric, no_letters, struct, length, dict_person_first_nam, dict_person_last_nam, dict_country_nam, dict_city_nam, dict_road_nam, dict_person_prefix, dict_person_noun, dict_person_suffix, dict_road_prefix, dict_country_prefix, dict_trigger_int_bloc, dict_trigger_ext_bloc, dict_trigger_int_country, dict_trigger_ext_country, dict_trigger_int_district, dict_trigger_ext_district, dict_trigger_int_geogName, dict_trigger_ext_geogName, dict_trigger_int_orgName, dict_trigger_ext_orgName, dict_trigger_int_persName, dict_trigger_ext_persName, dict_trigger_int_region, dict_trigger_ext_region, dict_trigger_int_settlement, dict_trigger_ext_settlement, agr1, parenthesis, quotation, nospace]
--> CRFPP Chunker train
--> Training on file={CV_TRAIN}
(TemplateFactory) parsing template: /home/czuk/nlp/eclipse/workspace_liner2/liner2_master/../models-workdir/liner2.5/liner25_model_ner_kpwr12/ini/template-jrip.txt
(TemplateFactory) Adding feature:orth:-2:-1:0:1:2
(TemplateFactory) feature:orth:-2:-1:0:1:2
(TemplateFactory) Adding feature:base:-2:-1:0:1:2
(TemplateFactory) feature:base:-2:-1:0:1:2
(TemplateFactory) Adding feature:synonym:-2:-1:0:1:2
(TemplateFactory) feature:synonym:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-1:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-2:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-2:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-3:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:class:-1:0:1
(TemplateFactory) feature:class:-1:0:1
(TemplateFactory) Adding feature:case:0
(TemplateFactory) feature:case:0
(TemplateFactory) Adding feature:gender:-2:-1:0:1:2
(TemplateFactory) feature:gender:-2:-1:0:1:2
(TemplateFactory) Adding feature:pattern:0
(TemplateFactory) feature:pattern:0
(TemplateFactory) Adding feature:prefix-1:-2:-1:0:1:2
(TemplateFactory) feature:prefix-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:prefix-3:-2:-1:0:1:2
(TemplateFactory) feature:prefix-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:prefix-4:-2:-1:0:1:2
(TemplateFactory) feature:prefix-4:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-1:-2:-1:0:1:2
(TemplateFactory) feature:suffix-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-2:-2:-1:0:1:2
(TemplateFactory) feature:suffix-2:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-3:-2:-1:0:1:2
(TemplateFactory) feature:suffix-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-4:-2:-1:0:1:2
(TemplateFactory) feature:suffix-4:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_upper_case:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_upper_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_lower_case:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_lower_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_symbol:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_symbol:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_digit:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_digit:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_upper_case:-2:-1:0:1:2
(TemplateFactory) feature:has_upper_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_lower_case:-2:-1:0:1:2
(TemplateFactory) feature:has_lower_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_symbol:-2:-1:0:1:2
(TemplateFactory) feature:has_symbol:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_digit:-2:-1:0:1:2
(TemplateFactory) feature:has_digit:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_first_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_first_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_last_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_last_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_country_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_country_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_city_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_city_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_road_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_road_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_noun:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_noun:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_suffix:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_suffix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_road_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_road_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_country_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_country_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:base:-4/dict_person_first_nam:-3/dict_person_last_nam:-2/base:-1/dict_person_last_nam:0
(TemplateFactory) feature:base:-4/dict_person_first_nam:-3/dict_person_last_nam:-2/base:-1/dict_person_last_nam:0
(TemplateFactory) Adding feature:dict_trigger_int_bloc:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_bloc:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_bloc:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_bloc:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_country:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_country:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_country:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_country:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_district:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_district:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_district:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_district:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_geogName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_geogName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_geogName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_geogName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_orgName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_orgName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_orgName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_orgName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_persName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_persName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_persName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_persName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_region:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_region:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_region:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_region:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_settlement:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_settlement:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_settlement:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_settlement:-2:-1:0:1:2
(TemplateFactory) Adding feature:agr1:-2:-1:0:1:2
(TemplateFactory) feature:agr1:-2:-1:0:1:2
(TemplateFactory) Adding feature:nospace:-2:-1:0:1:2
(TemplateFactory) feature:nospace:-2:-1:0:1:2
(TemplateFactory) Adding feature:parenthesis:-2:-1:0:1:2
(TemplateFactory) feature:parenthesis:-2:-1:0:1:2
(TemplateFactory) Adding feature:quotation:-2:-1:0:1:2
(TemplateFactory) feature:quotation:-2:-1:0:1:2
(TemplateFactory) Adding feature:length:-2:-1:0:1:2
(TemplateFactory) feature:length:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_upper_case:0/agr1:-1/pattern:2/has_upper_case:-1/case:0/number:-1
(TemplateFactory) feature:has_upper_case:0/agr1:-1/pattern:2/has_upper_case:-1/case:0/number:-1
(TemplateFactory) Adding feature:has_upper_case:0/all_digits:-1/all_upper:-2/length:1/nospace:1
(TemplateFactory) feature:has_upper_case:0/all_digits:-1/all_upper:-2/length:1/nospace:1
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/ctag:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/ctag:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/has_upper_case:1
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/has_upper_case:1
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/agr1:1/pattern:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/agr1:1/pattern:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/class:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/class:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/starts_with_digit:-2/starts_with_lower_case:1/case:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/starts_with_digit:-2/starts_with_lower_case:1/case:0
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/has_upper_case:1
(TemplateFactory) feature:has_upper_case:0/ctag:0/has_upper_case:1
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/parenthesis:0/class:2/agr1:2
(TemplateFactory) feature:has_upper_case:0/ctag:0/parenthesis:0/class:2/agr1:2
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/suffix-1:0
(TemplateFactory) feature:has_upper_case:0/ctag:0/suffix-1:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/all_upper:-2/all_alphanumeric:2/starts_with_lower_case:2/all_alphanumeric:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/all_upper:-2/all_alphanumeric:2/starts_with_lower_case:2/all_alphanumeric:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_digit:-2/has_lower_case:0/nospace:-1/nospace:-2/ctag:-1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_digit:-2/has_lower_case:0/nospace:-1/nospace:-2/ctag:-1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-1/all_alphanumeric:2/class:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-1/all_alphanumeric:2/class:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/all_letters:-1/ctag:0/all_alphanumeric:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/all_letters:-1/ctag:0/all_alphanumeric:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/length:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/length:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/starts_with_lower_case:1/orth:-1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/starts_with_lower_case:1/orth:-1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/pattern:-1/class:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/pattern:-1/class:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/pattern:1/parenthesis:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/pattern:1/parenthesis:0
(TemplateFactory) Adding feature:has_upper_case:0/starts_with_lower_case:1/case:0/orth:2
(TemplateFactory) feature:has_upper_case:0/starts_with_lower_case:1/case:0/orth:2
(TemplateFactory) Adding feature:has_upper_case:0/starts_with_lower_case:1/case:0/pattern:1/agr1:1/gender:0
(TemplateFactory) feature:has_upper_case:0/starts_with_lower_case:1/case:0/pattern:1/agr1:1/gender:0
(TemplateFactory) Adding feature:has_upper_case:-1/has_upper_case:0/nospace:-2/pattern:0
(TemplateFactory) feature:has_upper_case:-1/has_upper_case:0/nospace:-2/pattern:0
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/all_letters:1/orth:0/starts_with_lower_case:-2
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/all_letters:1/orth:0/starts_with_lower_case:-2
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/orth:0/nospace:-1
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/orth:0/nospace:-1
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/parenthesis:-2/class:-2/orth:-1
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/parenthesis:-2/class:-2/orth:-1
(TemplateFactory) Adding feature:has_upper_case:-2/has_upper_case:0/orth:-1/nospace:-2
(TemplateFactory) feature:has_upper_case:-2/has_upper_case:0/orth:-1/nospace:-2
(TemplateFactory) Adding feature:has_upper_case:-2/starts_with_upper_case:0/orth:-1
(TemplateFactory) feature:has_upper_case:-2/starts_with_upper_case:0/orth:-1
(TemplateFactory) Adding feature:starts_with_lower_case:-1/has_upper_case:0/case:-1/case:2
(TemplateFactory) feature:starts_with_lower_case:-1/has_upper_case:0/case:-1/case:2
(TemplateFactory) Adding feature:starts_with_lower_case:-1/has_upper_case:0/pattern:-1/ctag:-1/pattern:0
(TemplateFactory) feature:starts_with_lower_case:-1/has_upper_case:0/pattern:-1/ctag:-1/pattern:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_lower_case:-1/all_letters:-1/parenthesis:-2/pattern:1/length:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_lower_case:-1/all_letters:-1/parenthesis:-2/pattern:1/length:0
(TemplateFactory) Adding feature:starts_with_lower_case:-1/starts_with_upper_case:0/class:-1/agr1:0/gender:-1
(TemplateFactory) feature:starts_with_lower_case:-1/starts_with_upper_case:0/class:-1/agr1:0/gender:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/class:-2/no_letters:0/length:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/class:-2/no_letters:0/length:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/agr1:-2/ctag:-2
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/agr1:-2/ctag:-2
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/case:-1/ctag:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/case:-1/ctag:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/ctag:-2/struct:-2
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/ctag:-2/struct:-2
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/quotation:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/quotation:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/pattern:0/length:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/pattern:0/length:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/starts_with_upper_case:0/length:-1/ctag:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/starts_with_upper_case:0/length:-1/ctag:-1
(TemplateFactory) Adding feature:starts_with_upper_case:0/agr1:-1/gender:0/number:0
(TemplateFactory) feature:starts_with_upper_case:0/agr1:-1/gender:0/number:0
(TemplateFactory) Adding feature:starts_with_upper_case:0/agr1:-1/orth:-1/class:-2
(TemplateFactory) feature:starts_with_upper_case:0/agr1:-1/orth:-1/class:-2
(TemplateFactory) Adding feature:starts_with_upper_case:0/class:0/gender:0/prefix-1:0/all_alphanumeric:1
(TemplateFactory) feature:starts_with_upper_case:0/class:0/gender:0/prefix-1:0/all_alphanumeric:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/class:0/starts_with_lower_case:1/struct:2/agr1:1
(TemplateFactory) feature:starts_with_upper_case:0/class:0/starts_with_lower_case:1/struct:2/agr1:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/ctag:0/parenthesis:0/class:1
(TemplateFactory) feature:starts_with_upper_case:0/ctag:0/parenthesis:0/class:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/dict_person_first_nam:-1/class:0/parenthesis:2/ctag:0
(TemplateFactory) feature:starts_with_upper_case:0/dict_person_first_nam:-1/class:0/parenthesis:2/ctag:0
(TemplateFactory) Adding feature:starts_with_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/has_digit:-2/gender:1
(TemplateFactory) feature:starts_with_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/has_digit:-2/gender:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/starts_with_lower_case:1/case:0/suffix-2:1
(TemplateFactory) feature:starts_with_upper_case:0/starts_with_lower_case:1/case:0/suffix-2:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/starts_with_lower_case:1/pattern:1/length:2/nospace:1/case:0/ctag:2
(TemplateFactory) feature:starts_with_upper_case:0/starts_with_lower_case:1/pattern:1/length:2/nospace:1/case:0/ctag:2
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_lower_case:1/all_digits:-2/has_upper_case:1/orth:0
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_lower_case:1/all_digits:-2/has_upper_case:1/orth:0
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_lower_case:1/starts_with_upper_case:0/nospace:2/gender:-1
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_lower_case:1/starts_with_upper_case:0/nospace:2/gender:-1
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/agr1:1/has_lower_case:2
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/agr1:1/has_lower_case:2
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/nospace:0
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/nospace:0
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/pattern:2/suffix-1:-1
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/pattern:2/suffix-1:-1
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Training CRF classifer using features:
orth[-2]
orth[-1]
orth[0]
orth[1]
orth[2]
base[-2]
base[-1]
base[0]
base[1]
base[2]
synonym[-2]
synonym[-1]
synonym[0]
synonym[1]
synonym[2]
hypernym-1[-2]
hypernym-1[-1]
hypernym-1[0]
hypernym-1[1]
hypernym-1[2]
hypernym-2[-2]
hypernym-2[-1]
hypernym-2[0]
hypernym-2[1]
hypernym-2[2]
hypernym-3[-2]
hypernym-3[-1]
hypernym-3[0]
hypernym-3[1]
hypernym-3[2]
class[-1]
class[0]
class[1]
case[0]
gender[-2]
gender[-1]
gender[0]
gender[1]
gender[2]
pattern[0]
prefix-1[-2]
prefix-1[-1]
prefix-1[0]
prefix-1[1]
prefix-1[2]
prefix-3[-2]
prefix-3[-1]
prefix-3[0]
prefix-3[1]
prefix-3[2]
prefix-4[-2]
prefix-4[-1]
prefix-4[0]
prefix-4[1]
prefix-4[2]
suffix-1[-2]
suffix-1[-1]
suffix-1[0]
suffix-1[1]
suffix-1[2]
suffix-2[-2]
suffix-2[-1]
suffix-2[0]
suffix-2[1]
suffix-2[2]
suffix-3[-2]
suffix-3[-1]
suffix-3[0]
suffix-3[1]
suffix-3[2]
suffix-4[-2]
suffix-4[-1]
suffix-4[0]
suffix-4[1]
suffix-4[2]
starts_with_upper_case[-2]
starts_with_upper_case[-1]
starts_with_upper_case[0]
starts_with_upper_case[1]
starts_with_upper_case[2]
starts_with_lower_case[-2]
starts_with_lower_case[-1]
starts_with_lower_case[0]
starts_with_lower_case[1]
starts_with_lower_case[2]
starts_with_symbol[-2]
starts_with_symbol[-1]
starts_with_symbol[0]
starts_with_symbol[1]
starts_with_symbol[2]
starts_with_digit[-2]
starts_with_digit[-1]
starts_with_digit[0]
starts_with_digit[1]
starts_with_digit[2]
has_upper_case[-2]
has_upper_case[-1]
has_upper_case[0]
has_upper_case[1]
has_upper_case[2]
has_lower_case[-2]
has_lower_case[-1]
has_lower_case[0]
has_lower_case[1]
has_lower_case[2]
has_symbol[-2]
has_symbol[-1]
has_symbol[0]
has_symbol[1]
has_symbol[2]
has_digit[-2]
has_digit[-1]
has_digit[0]
has_digit[1]
has_digit[2]
dict_person_first_nam[-2]
dict_person_first_nam[-1]
dict_person_first_nam[0]
dict_person_first_nam[1]
dict_person_first_nam[2]
dict_person_last_nam[-2]
dict_person_last_nam[-1]
dict_person_last_nam[0]
dict_person_last_nam[1]
dict_person_last_nam[2]
dict_country_nam[-2]
dict_country_nam[-1]
dict_country_nam[0]
dict_country_nam[1]
dict_country_nam[2]
dict_city_nam[-2]
dict_city_nam[-1]
dict_city_nam[0]
dict_city_nam[1]
dict_city_nam[2]
dict_road_nam[-2]
dict_road_nam[-1]
dict_road_nam[0]
dict_road_nam[1]
dict_road_nam[2]
dict_person_prefix[-2]
dict_person_prefix[-1]
dict_person_prefix[0]
dict_person_prefix[1]
dict_person_prefix[2]
dict_person_noun[-2]
dict_person_noun[-1]
dict_person_noun[0]
dict_person_noun[1]
dict_person_noun[2]
dict_person_suffix[-2]
dict_person_suffix[-1]
dict_person_suffix[0]
dict_person_suffix[1]
dict_person_suffix[2]
dict_road_prefix[-2]
dict_road_prefix[-1]
dict_road_prefix[0]
dict_road_prefix[1]
dict_road_prefix[2]
dict_country_prefix[-2]
dict_country_prefix[-1]
dict_country_prefix[0]
dict_country_prefix[1]
dict_country_prefix[2]
base[-4]_dict_person_first_nam[-3]_dict_person_last_nam[-2]_base[-1]_dict_person_last_nam[0]
dict_trigger_int_bloc[-2]
dict_trigger_int_bloc[-1]
dict_trigger_int_bloc[0]
dict_trigger_int_bloc[1]
dict_trigger_int_bloc[2]
dict_trigger_ext_bloc[-2]
dict_trigger_ext_bloc[-1]
dict_trigger_ext_bloc[0]
dict_trigger_ext_bloc[1]
dict_trigger_ext_bloc[2]
dict_trigger_int_country[-2]
dict_trigger_int_country[-1]
dict_trigger_int_country[0]
dict_trigger_int_country[1]
dict_trigger_int_country[2]
dict_trigger_ext_country[-2]
dict_trigger_ext_country[-1]
dict_trigger_ext_country[0]
dict_trigger_ext_country[1]
dict_trigger_ext_country[2]
dict_trigger_int_district[-2]
dict_trigger_int_district[-1]
dict_trigger_int_district[0]
dict_trigger_int_district[1]
dict_trigger_int_district[2]
dict_trigger_ext_district[-2]
dict_trigger_ext_district[-1]
dict_trigger_ext_district[0]
dict_trigger_ext_district[1]
dict_trigger_ext_district[2]
dict_trigger_int_geogName[-2]
dict_trigger_int_geogName[-1]
dict_trigger_int_geogName[0]
dict_trigger_int_geogName[1]
dict_trigger_int_geogName[2]
dict_trigger_ext_geogName[-2]
dict_trigger_ext_geogName[-1]
dict_trigger_ext_geogName[0]
dict_trigger_ext_geogName[1]
dict_trigger_ext_geogName[2]
dict_trigger_int_orgName[-2]
dict_trigger_int_orgName[-1]
dict_trigger_int_orgName[0]
dict_trigger_int_orgName[1]
dict_trigger_int_orgName[2]
dict_trigger_ext_orgName[-2]
dict_trigger_ext_orgName[-1]
dict_trigger_ext_orgName[0]
dict_trigger_ext_orgName[1]
dict_trigger_ext_orgName[2]
dict_trigger_int_persName[-2]
dict_trigger_int_persName[-1]
dict_trigger_int_persName[0]
dict_trigger_int_persName[1]
dict_trigger_int_persName[2]
dict_trigger_ext_persName[-2]
dict_trigger_ext_persName[-1]
dict_trigger_ext_persName[0]
dict_trigger_ext_persName[1]
dict_trigger_ext_persName[2]
dict_trigger_int_region[-2]
dict_trigger_int_region[-1]
dict_trigger_int_region[0]
dict_trigger_int_region[1]
dict_trigger_int_region[2]
dict_trigger_ext_region[-2]
dict_trigger_ext_region[-1]
dict_trigger_ext_region[0]
dict_trigger_ext_region[1]
dict_trigger_ext_region[2]
dict_trigger_int_settlement[-2]
dict_trigger_int_settlement[-1]
dict_trigger_int_settlement[0]
dict_trigger_int_settlement[1]
dict_trigger_int_settlement[2]
dict_trigger_ext_settlement[-2]
dict_trigger_ext_settlement[-1]
dict_trigger_ext_settlement[0]
dict_trigger_ext_settlement[1]
dict_trigger_ext_settlement[2]
agr1[-2]
agr1[-1]
agr1[0]
agr1[1]
agr1[2]
nospace[-2]
nospace[-1]
nospace[0]
nospace[1]
nospace[2]
parenthesis[-2]
parenthesis[-1]
parenthesis[0]
parenthesis[1]
parenthesis[2]
quotation[-2]
quotation[-1]
quotation[0]
quotation[1]
quotation[2]
length[-2]
length[-1]
length[0]
length[1]
length[2]
has_upper_case[0]_agr1[-1]_pattern[2]_has_upper_case[-1]_case[0]_number[-1]
has_upper_case[0]_all_digits[-1]_all_upper[-2]_length[1]_nospace[1]
has_upper_case[0]_all_upper[-1]_pattern[-1]_ctag[0]
has_upper_case[0]_all_upper[-1]_pattern[-1]_has_upper_case[1]
has_upper_case[0]_all_upper[-1]_pattern[-1]_pattern[-2]_agr1[1]_pattern[0]
has_upper_case[0]_all_upper[-1]_pattern[-1]_pattern[-2]_class[0]
has_upper_case[0]_all_upper[-1]_starts_with_digit[-2]_starts_with_lower_case[1]_case[0]
has_upper_case[0]_ctag[0]_has_upper_case[1]
has_upper_case[0]_ctag[0]_parenthesis[0]_class[2]_agr1[2]
has_upper_case[0]_ctag[0]_suffix-1[0]
has_upper_case[0]_dict_person_first_nam[-1]_all_upper[-2]_all_alphanumeric[2]_starts_with_lower_case[2]_all_alphanumeric[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_digit[-2]_has_lower_case[0]_nospace[-1]_nospace[-2]_ctag[-1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-1]_all_alphanumeric[2]_class[0]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[2]_all_letters[-1]_ctag[0]_all_alphanumeric[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-2]_length[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-2]_starts_with_lower_case[1]_orth[-1]
has_upper_case[0]_dict_person_first_nam[-1]_pattern[-1]_class[0]
has_upper_case[0]_dict_person_first_nam[-1]_pattern[1]_parenthesis[0]
has_upper_case[0]_starts_with_lower_case[1]_case[0]_orth[2]
has_upper_case[0]_starts_with_lower_case[1]_case[0]_pattern[1]_agr1[1]_gender[0]
has_upper_case[-1]_has_upper_case[0]_nospace[-2]_pattern[0]
has_upper_case[-1]_starts_with_lower_case[1]_all_letters[1]_orth[0]_starts_with_lower_case[-2]
has_upper_case[-1]_starts_with_lower_case[1]_orth[0]_nospace[-1]
has_upper_case[-1]_starts_with_lower_case[1]_parenthesis[-2]_class[-2]_orth[-1]
has_upper_case[-2]_has_upper_case[0]_orth[-1]_nospace[-2]
has_upper_case[-2]_starts_with_upper_case[0]_orth[-1]
starts_with_lower_case[-1]_has_upper_case[0]_case[-1]_case[2]
starts_with_lower_case[-1]_has_upper_case[0]_pattern[-1]_ctag[-1]_pattern[0]
starts_with_lower_case[1]_starts_with_lower_case[-1]_all_letters[-1]_parenthesis[-2]_pattern[1]_length[0]
starts_with_lower_case[-1]_starts_with_upper_case[0]_class[-1]_agr1[0]_gender[-1]
starts_with_lower_case[1]_starts_with_upper_case[-1]_class[-2]_no_letters[0]_length[0]
starts_with_lower_case[1]_starts_with_upper_case[-1]_parenthesis[-2]_agr1[-2]_ctag[-2]
starts_with_lower_case[1]_starts_with_upper_case[-1]_parenthesis[-2]_case[-1]_ctag[0]
starts_with_lower_case[1]_starts_with_upper_case[-2]_agr1[-2]_ctag[-2]_struct[-2]
starts_with_lower_case[1]_starts_with_upper_case[-2]_agr1[-2]_quotation[-1]
starts_with_lower_case[1]_starts_with_upper_case[-2]_pattern[0]_length[-1]
starts_with_lower_case[1]_starts_with_upper_case[-2]_starts_with_upper_case[0]_length[-1]_ctag[-1]
starts_with_upper_case[0]_agr1[-1]_gender[0]_number[0]
starts_with_upper_case[0]_agr1[-1]_orth[-1]_class[-2]
starts_with_upper_case[0]_class[0]_gender[0]_prefix-1[0]_all_alphanumeric[1]
starts_with_upper_case[0]_class[0]_starts_with_lower_case[1]_struct[2]_agr1[1]
starts_with_upper_case[0]_ctag[0]_parenthesis[0]_class[1]
starts_with_upper_case[0]_dict_person_first_nam[-1]_class[0]_parenthesis[2]_ctag[0]
starts_with_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[2]_has_digit[-2]_gender[1]
starts_with_upper_case[0]_starts_with_lower_case[1]_case[0]_suffix-2[1]
starts_with_upper_case[0]_starts_with_lower_case[1]_pattern[1]_length[2]_nospace[1]_case[0]_ctag[2]
starts_with_upper_case[-1]_starts_with_lower_case[1]_all_digits[-2]_has_upper_case[1]_orth[0]
starts_with_upper_case[-1]_starts_with_lower_case[1]_starts_with_upper_case[0]_nospace[2]_gender[-1]
starts_with_upper_case[-1]_starts_with_upper_case[0]_all_upper[-2]_agr1[1]_has_lower_case[2]
starts_with_upper_case[-1]_starts_with_upper_case[0]_all_upper[-2]_nospace[0]
starts_with_upper_case[-1]_starts_with_upper_case[0]_pattern[2]_suffix-1[-1]

CRF++: Yet Another CRF Tool Kit
Copyright (C) 2005-2012 Taku Kudo, All rights reserved.

reading training data: 100.. 200.. 300.. 400.. 500.. 600.. 700.. 800.. 900.. 1000.. 1100.. 1200.. 1300.. 1400.. 1500.. 1600.. 1700.. 1800.. 1900.. 2000.. 2100.. 2200.. 2300.. 2400.. 2500.. 2600.. 2700.. 2800.. 2900.. 3000.. 3100.. 3200.. 3300.. 3400.. 3500.. 3600.. 3700.. 3800.. 3900.. 4000.. 4100.. 4200.. 4300.. 4400.. 4500.. 4600.. 4700.. 4800.. 4900.. 5000.. 5100.. 5200.. 5300.. 5400.. 5500.. 5600.. 5700.. 5800.. 5900.. 6000.. 6100.. 6200.. 6300.. 6400.. 6500.. 6600.. 6700.. 6800.. 6900.. 7000.. 7100.. 7200.. 7300.. 7400.. 7500.. 7600.. 7700.. 7800.. 7900.. 8000.. 8100.. 8200.. 8300.. 8400.. 8500.. 8600.. 8700.. 8800.. 8900.. 9000.. 9100.. 9200.. 9300.. 9400.. 9500.. 9600.. 9700.. 
Done!37.68 s

Number of sentences: 9728
Number of features:  933651
Number of thread(s): 7
Freq:                5
eta:                 0.00010
C:                   1.00000
shrinking size:      20
iter=0 terr=0.94822 serr=0.99743 act=933651 obj=172337.11250 diff=1.00000
iter=1 terr=0.09029 serr=0.44213 act=933651 obj=203430.31655 diff=0.18042
iter=2 terr=0.09029 serr=0.44213 act=933651 obj=72245.68280 diff=0.64486
iter=3 terr=0.09029 serr=0.44213 act=933651 obj=65298.56615 diff=0.09616
iter=4 terr=0.87025 serr=0.96793 act=933651 obj=207623.40704 diff=2.17960
iter=5 terr=0.09029 serr=0.44213 act=933651 obj=53900.58650 diff=0.74039
iter=6 terr=0.09029 serr=0.44213 act=933651 obj=53240.10096 diff=0.01225
iter=7 terr=0.09029 serr=0.44213 act=933651 obj=50553.82470 diff=0.05046
iter=8 terr=0.09029 serr=0.44213 act=933651 obj=47989.40656 diff=0.05073
iter=9 terr=0.08603 serr=0.42743 act=933651 obj=40008.91061 diff=0.16630
iter=10 terr=0.05635 serr=0.37377 act=933651 obj=31737.16558 diff=0.20675
iter=11 terr=0.04263 serr=0.32155 act=933651 obj=26038.90689 diff=0.17955
iter=12 terr=0.03859 serr=0.27107 act=933651 obj=22047.73994 diff=0.15328
iter=13 terr=0.03759 serr=0.26645 act=933651 obj=21181.53868 diff=0.03929
iter=14 terr=0.03734 serr=0.26377 act=933651 obj=20370.91678 diff=0.03827
iter=15 terr=0.03690 serr=0.26007 act=933651 obj=19771.66419 diff=0.02942
iter=16 terr=0.03641 serr=0.25041 act=933651 obj=18803.62207 diff=0.04896
iter=17 terr=0.03583 serr=0.25175 act=933651 obj=19101.93364 diff=0.01586
iter=18 terr=0.03567 serr=0.24507 act=933651 obj=18280.56667 diff=0.04300
iter=19 terr=0.03560 serr=0.24178 act=933651 obj=17687.84592 diff=0.03242
iter=20 terr=0.03476 serr=0.23571 act=933651 obj=17230.78809 diff=0.02584
iter=21 terr=0.03460 serr=0.23427 act=933651 obj=16639.64264 diff=0.03431
iter=22 terr=0.03381 serr=0.23674 act=933651 obj=16095.22836 diff=0.03272
iter=23 terr=0.03376 serr=0.22667 act=933651 obj=15750.34192 diff=0.02143
iter=24 terr=0.03325 serr=0.23304 act=933651 obj=15237.54774 diff=0.03256
iter=25 terr=0.03252 serr=0.23160 act=933651 obj=14628.11654 diff=0.04000
iter=26 terr=0.03217 serr=0.23468 act=933651 obj=13765.97297 diff=0.05894
iter=27 terr=0.03110 serr=0.22934 act=933651 obj=12867.72072 diff=0.06525
iter=28 terr=0.03087 serr=0.22728 act=933651 obj=12615.93066 diff=0.01957
iter=29 terr=0.03083 serr=0.21443 act=933651 obj=12843.91108 diff=0.01807
iter=30 terr=0.03066 serr=0.22194 act=933651 obj=12285.25427 diff=0.04350
iter=31 terr=0.02876 serr=0.20724 act=933651 obj=11718.23083 diff=0.04615
iter=32 terr=0.02874 serr=0.20426 act=933651 obj=11131.24990 diff=0.05009
iter=33 terr=0.02836 serr=0.20107 act=933651 obj=10626.66986 diff=0.04533
iter=34 terr=0.02798 serr=0.20456 act=933651 obj=10198.99828 diff=0.04025
iter=35 terr=0.02595 serr=0.19480 act=933651 obj=9988.52344 diff=0.02064
iter=36 terr=0.02606 serr=0.19511 act=933651 obj=9738.33209 diff=0.02505
iter=37 terr=0.02548 serr=0.19326 act=933651 obj=9599.06593 diff=0.01430
iter=38 terr=0.02501 serr=0.19243 act=933651 obj=9482.43535 diff=0.01215
iter=39 terr=0.02477 serr=0.19130 act=933651 obj=9382.55812 diff=0.01053
iter=40 terr=0.02433 serr=0.18843 act=933651 obj=9136.16752 diff=0.02626
iter=41 terr=0.02440 serr=0.18884 act=933651 obj=8797.34685 diff=0.03709
iter=42 terr=0.03430 serr=0.20765 act=933651 obj=10346.32343 diff=0.17607
iter=43 terr=0.02477 serr=0.18298 act=933651 obj=8641.94647 diff=0.16473
iter=44 terr=0.02287 serr=0.17373 act=933651 obj=8311.15230 diff=0.03828
iter=45 terr=0.02278 serr=0.16869 act=933651 obj=8120.20922 diff=0.02297
iter=46 terr=0.02252 serr=0.16530 act=933651 obj=7943.66620 diff=0.02174
iter=47 terr=0.02224 serr=0.16334 act=933651 obj=7746.08246 diff=0.02487
iter=48 terr=0.02187 serr=0.16026 act=933651 obj=7409.15869 diff=0.04350
iter=49 terr=0.03945 serr=0.27148 act=933651 obj=12052.26135 diff=0.62667
iter=50 terr=0.02174 serr=0.16231 act=933651 obj=7343.56859 diff=0.39069
iter=51 terr=0.02106 serr=0.15861 act=933651 obj=7055.59735 diff=0.03921
iter=52 terr=0.02022 serr=0.15193 act=933651 obj=6879.60572 diff=0.02494
iter=53 terr=0.02042 serr=0.15080 act=933651 obj=6802.03460 diff=0.01128
iter=54 terr=0.01955 serr=0.14751 act=933651 obj=6706.76060 diff=0.01401
iter=55 terr=0.01926 serr=0.14648 act=933651 obj=6667.91893 diff=0.00579
iter=56 terr=0.01895 serr=0.14381 act=933651 obj=6545.27836 diff=0.01839
iter=57 terr=0.01868 serr=0.14196 act=933651 obj=6403.76422 diff=0.02162
iter=58 terr=0.02011 serr=0.15471 act=933651 obj=6481.67376 diff=0.01217
iter=59 terr=0.01868 serr=0.14299 act=933651 obj=6307.07745 diff=0.02694
iter=60 terr=0.01846 serr=0.14073 act=933651 obj=6187.60663 diff=0.01894
iter=61 terr=0.01814 serr=0.14021 act=933651 obj=6125.27771 diff=0.01007
iter=62 terr=0.01824 serr=0.14145 act=933651 obj=6063.45992 diff=0.01009
iter=63 terr=0.01804 serr=0.14062 act=933651 obj=6025.99457 diff=0.00618
iter=64 terr=0.01803 serr=0.14042 act=933651 obj=5935.64474 diff=0.01499
iter=65 terr=0.01756 serr=0.13754 act=933651 obj=5806.88104 diff=0.02169
iter=66 terr=0.01647 serr=0.13250 act=933651 obj=5585.14676 diff=0.03818
iter=67 terr=0.01808 serr=0.13477 act=933651 obj=5707.18691 diff=0.02185
iter=68 terr=0.01643 serr=0.13106 act=933651 obj=5512.29941 diff=0.03415
iter=69 terr=0.01583 serr=0.13014 act=933651 obj=5392.65351 diff=0.02171
iter=70 terr=0.01587 serr=0.12808 act=933651 obj=5310.26611 diff=0.01528
iter=71 terr=0.01548 serr=0.12500 act=933651 obj=5277.71141 diff=0.00613
iter=72 terr=0.01566 serr=0.12479 act=933651 obj=5191.47822 diff=0.01634
iter=73 terr=0.01509 serr=0.12079 act=933651 obj=5092.31681 diff=0.01910
iter=74 terr=0.01508 serr=0.11996 act=933651 obj=4957.98911 diff=0.02638
iter=75 terr=0.01493 serr=0.12037 act=933651 obj=4921.48220 diff=0.00736
iter=76 terr=0.01498 serr=0.11955 act=933651 obj=4900.19642 diff=0.00433
iter=77 terr=0.01486 serr=0.11945 act=933651 obj=4843.02984 diff=0.01167
iter=78 terr=0.01464 serr=0.11647 act=933651 obj=4720.41141 diff=0.02532
iter=79 terr=0.01412 serr=0.11338 act=933651 obj=4611.00278 diff=0.02318
iter=80 terr=0.01577 serr=0.11739 act=933651 obj=4637.49024 diff=0.00574
iter=81 terr=0.01432 serr=0.11451 act=933651 obj=4540.29092 diff=0.02096
iter=82 terr=0.01361 serr=0.11143 act=933651 obj=4419.59100 diff=0.02658
iter=83 terr=0.01330 serr=0.11020 act=933651 obj=4347.94010 diff=0.01621
iter=84 terr=0.01269 serr=0.10650 act=933651 obj=4215.52409 diff=0.03045
iter=85 terr=0.01228 serr=0.10413 act=933651 obj=4087.31083 diff=0.03041
iter=86 terr=0.01177 serr=0.10125 act=933651 obj=3924.07456 diff=0.03994
iter=87 terr=0.01457 serr=0.12521 act=933651 obj=4955.81518 diff=0.26293
iter=88 terr=0.01147 serr=0.09951 act=933651 obj=3865.99334 diff=0.21991
iter=89 terr=0.01137 serr=0.09766 act=933651 obj=3793.82991 diff=0.01867
iter=90 terr=0.01090 serr=0.09611 act=933651 obj=3733.84278 diff=0.01581
iter=91 terr=0.01087 serr=0.09581 act=933651 obj=3712.27392 diff=0.00578
iter=92 terr=0.01083 serr=0.09498 act=933651 obj=3686.55257 diff=0.00693
iter=93 terr=0.01079 serr=0.09468 act=933651 obj=3654.97712 diff=0.00857
iter=94 terr=0.01030 serr=0.09211 act=933651 obj=3556.33679 diff=0.02699
iter=95 terr=0.01021 serr=0.09108 act=933651 obj=3473.40448 diff=0.02332
iter=96 terr=0.01064 serr=0.09118 act=933651 obj=3497.28596 diff=0.00688
iter=97 terr=0.00989 serr=0.08964 act=933651 obj=3419.32955 diff=0.02229
iter=98 terr=0.00974 serr=0.08861 act=933651 obj=3369.05002 diff=0.01470
iter=99 terr=0.00940 serr=0.08676 act=933651 obj=3328.63829 diff=0.01199
iter=100 terr=0.00946 serr=0.08501 act=933651 obj=3274.53378 diff=0.01625
iter=101 terr=0.00923 serr=0.08337 act=933651 obj=3207.92427 diff=0.02034
iter=102 terr=0.00882 serr=0.08203 act=933651 obj=3142.62280 diff=0.02036
iter=103 terr=0.00858 serr=0.08080 act=933651 obj=3105.03355 diff=0.01196
iter=104 terr=0.02528 serr=0.11811 act=933651 obj=4750.93120 diff=0.53007
iter=105 terr=0.00861 serr=0.08131 act=933651 obj=3088.28735 diff=0.34996
iter=106 terr=0.00832 serr=0.07926 act=933651 obj=3048.30418 diff=0.01295
iter=107 terr=0.00816 serr=0.07823 act=933651 obj=3009.86347 diff=0.01261
iter=108 terr=0.00801 serr=0.07710 act=933651 obj=2964.04245 diff=0.01522
iter=109 terr=0.00801 serr=0.07597 act=933651 obj=2906.42162 diff=0.01944
iter=110 terr=0.00806 serr=0.07463 act=933651 obj=2883.60998 diff=0.00785
iter=111 terr=0.00808 serr=0.07514 act=933651 obj=2853.62251 diff=0.01040
iter=112 terr=0.00793 serr=0.07484 act=933651 obj=2840.00813 diff=0.00477
iter=113 terr=0.00772 serr=0.07329 act=933651 obj=2806.04475 diff=0.01196
iter=114 terr=0.00732 serr=0.06918 act=933651 obj=2696.51637 diff=0.03903
iter=115 terr=0.00708 serr=0.06445 act=933651 obj=2585.41351 diff=0.04120
iter=116 terr=0.00664 serr=0.06157 act=933651 obj=2511.32778 diff=0.02866
iter=117 terr=0.00655 serr=0.06096 act=933651 obj=2486.62790 diff=0.00984
iter=118 terr=0.00641 serr=0.05972 act=933651 obj=2465.37544 diff=0.00855
iter=119 terr=0.00612 serr=0.05859 act=933651 obj=2423.78608 diff=0.01687
iter=120 terr=0.00599 serr=0.05685 act=933651 obj=2379.84636 diff=0.01813
iter=121 terr=0.00569 serr=0.05541 act=933651 obj=2342.84894 diff=0.01555
iter=122 terr=0.00568 serr=0.05561 act=933651 obj=2325.24271 diff=0.00751
iter=123 terr=0.00542 serr=0.05438 act=933651 obj=2291.40089 diff=0.01455
iter=124 terr=0.00527 serr=0.05335 act=933651 obj=2257.92364 diff=0.01461
iter=125 terr=0.00521 serr=0.05315 act=933651 obj=2242.84186 diff=0.00668
iter=126 terr=0.00485 serr=0.04996 act=933651 obj=2174.99763 diff=0.03025
iter=127 terr=0.00451 serr=0.04759 act=933651 obj=2108.94609 diff=0.03037
iter=128 terr=0.01087 serr=0.06610 act=933651 obj=2931.58190 diff=0.39007
iter=129 terr=0.00439 serr=0.04677 act=933651 obj=2099.20543 diff=0.28393
iter=130 terr=0.00426 serr=0.04595 act=933651 obj=2047.62550 diff=0.02457
iter=131 terr=0.00423 serr=0.04554 act=933651 obj=2014.70316 diff=0.01608
iter=132 terr=0.00413 serr=0.04513 act=933651 obj=2002.83158 diff=0.00589
iter=133 terr=0.00404 serr=0.04461 act=933651 obj=1989.68597 diff=0.00656
iter=134 terr=0.00378 serr=0.04194 act=933651 obj=1958.06118 diff=0.01589
iter=135 terr=0.00368 serr=0.04071 act=933651 obj=1916.61243 diff=0.02117
iter=136 terr=0.00372 serr=0.03999 act=933651 obj=1889.64026 diff=0.01407
iter=137 terr=0.00377 serr=0.03999 act=933651 obj=1893.23853 diff=0.00190
iter=138 terr=0.00358 serr=0.03906 act=933651 obj=1878.15062 diff=0.00797
iter=139 terr=0.00349 serr=0.03865 act=933651 obj=1872.28407 diff=0.00312
iter=140 terr=0.00335 serr=0.03793 act=933651 obj=1849.34688 diff=0.01225
iter=141 terr=0.00307 serr=0.03536 act=933651 obj=1787.59651 diff=0.03339
iter=142 terr=0.00290 serr=0.03341 act=933651 obj=1731.05335 diff=0.03163
iter=143 terr=0.00423 serr=0.03968 act=933651 obj=1868.88084 diff=0.07962
iter=144 terr=0.00287 serr=0.03259 act=933651 obj=1710.80128 diff=0.08459
iter=145 terr=0.00289 serr=0.03310 act=933651 obj=1684.87690 diff=0.01515
iter=146 terr=0.00323 serr=0.03341 act=933651 obj=1679.75848 diff=0.00304
iter=147 terr=0.00298 serr=0.03351 act=933651 obj=1665.23232 diff=0.00865
iter=148 terr=0.00289 serr=0.03248 act=933651 obj=1657.99622 diff=0.00435
iter=149 terr=0.00275 serr=0.03115 act=933651 obj=1640.46398 diff=0.01057
iter=150 terr=0.00266 serr=0.03043 act=933651 obj=1614.51903 diff=0.01582
iter=151 terr=0.00286 serr=0.03135 act=933651 obj=1664.32298 diff=0.03085
iter=152 terr=0.00258 serr=0.02971 act=933651 obj=1594.29343 diff=0.04208
iter=153 terr=0.00256 serr=0.02971 act=933651 obj=1583.31031 diff=0.00689
iter=154 terr=0.00252 serr=0.02755 act=933651 obj=1564.10043 diff=0.01213
iter=155 terr=0.00215 serr=0.02611 act=933651 obj=1531.20876 diff=0.02103
iter=156 terr=0.00212 serr=0.02570 act=933651 obj=1522.75556 diff=0.00552
iter=157 terr=0.00206 serr=0.02519 act=933651 obj=1492.51210 diff=0.01986
iter=158 terr=0.00196 serr=0.02323 act=933651 obj=1468.06213 diff=0.01638
iter=159 terr=0.00192 serr=0.02262 act=933651 obj=1440.00354 diff=0.01911
iter=160 terr=0.00189 serr=0.02231 act=933651 obj=1419.73350 diff=0.01408
iter=161 terr=0.00181 serr=0.02200 act=933651 obj=1416.50035 diff=0.00228
iter=162 terr=0.00172 serr=0.02128 act=933651 obj=1394.82340 diff=0.01530
iter=163 terr=0.00173 serr=0.02138 act=933651 obj=1392.97169 diff=0.00133
iter=164 terr=0.00173 serr=0.02128 act=933651 obj=1386.65398 diff=0.00454
iter=165 terr=0.00163 serr=0.02066 act=933651 obj=1378.66920 diff=0.00576
iter=166 terr=0.00163 serr=0.02046 act=933651 obj=1366.97766 diff=0.00848
iter=167 terr=0.00152 serr=0.01994 act=933651 obj=1354.94958 diff=0.00880
iter=168 terr=0.00145 serr=0.01902 act=933651 obj=1348.16903 diff=0.00500
iter=169 terr=0.00149 serr=0.01902 act=933651 obj=1342.10943 diff=0.00449
iter=170 terr=0.00138 serr=0.01830 act=933651 obj=1335.94198 diff=0.00460
iter=171 terr=0.00139 serr=0.01819 act=933651 obj=1331.31177 diff=0.00347
iter=172 terr=0.00140 serr=0.01840 act=933651 obj=1321.71984 diff=0.00720
iter=173 terr=0.00139 serr=0.01819 act=933651 obj=1315.51252 diff=0.00470
iter=174 terr=0.00136 serr=0.01727 act=933651 obj=1299.93248 diff=0.01184
iter=175 terr=0.00123 serr=0.01583 act=933651 obj=1293.93915 diff=0.00461
iter=176 terr=0.00129 serr=0.01614 act=933651 obj=1287.01199 diff=0.00535
iter=177 terr=0.00125 serr=0.01624 act=933651 obj=1284.23935 diff=0.00215
iter=178 terr=0.00122 serr=0.01573 act=933651 obj=1281.75988 diff=0.00193
iter=179 terr=0.00117 serr=0.01521 act=933651 obj=1269.47133 diff=0.00959
iter=180 terr=0.00117 serr=0.01501 act=933651 obj=1257.21489 diff=0.00965
iter=181 terr=0.00112 serr=0.01398 act=933651 obj=1244.80992 diff=0.00987
iter=182 terr=0.00113 serr=0.01460 act=933651 obj=1232.54227 diff=0.00986
iter=183 terr=0.00127 serr=0.01470 act=933651 obj=1229.77281 diff=0.00225
iter=184 terr=0.00113 serr=0.01470 act=933651 obj=1217.97295 diff=0.00960
iter=185 terr=0.00114 serr=0.01480 act=933651 obj=1213.27058 diff=0.00386
iter=186 terr=0.00112 serr=0.01439 act=933651 obj=1208.40291 diff=0.00401
iter=187 terr=0.00112 serr=0.01408 act=933651 obj=1196.49057 diff=0.00986
iter=188 terr=0.00094 serr=0.01213 act=933651 obj=1220.59170 diff=0.02014
iter=189 terr=0.00099 serr=0.01295 act=933651 obj=1190.25438 diff=0.02485
iter=190 terr=0.00101 serr=0.01316 act=933651 obj=1183.17967 diff=0.00594
iter=191 terr=0.00091 serr=0.01213 act=933651 obj=1174.96160 diff=0.00695
iter=192 terr=0.00095 serr=0.01234 act=933651 obj=1169.66812 diff=0.00451
iter=193 terr=0.00093 serr=0.01203 act=933651 obj=1164.41325 diff=0.00449
iter=194 terr=0.00091 serr=0.01203 act=933651 obj=1159.66834 diff=0.00407
iter=195 terr=0.00089 serr=0.01172 act=933651 obj=1156.70905 diff=0.00255
iter=196 terr=0.00084 serr=0.01079 act=933651 obj=1147.79741 diff=0.00770
iter=197 terr=0.00080 serr=0.00925 act=933651 obj=1142.40490 diff=0.00470
iter=198 terr=0.00070 serr=0.00905 act=933651 obj=1131.11956 diff=0.00988
iter=199 terr=0.00061 serr=0.00822 act=933651 obj=1120.51942 diff=0.00937
iter=200 terr=0.00061 serr=0.00822 act=933651 obj=1116.12181 diff=0.00392
iter=201 terr=0.00105 serr=0.00956 act=933651 obj=1218.62216 diff=0.09184
iter=202 terr=0.00054 serr=0.00730 act=933651 obj=1112.59481 diff=0.08701
iter=203 terr=0.00051 serr=0.00668 act=933651 obj=1103.31546 diff=0.00834
iter=204 terr=0.00050 serr=0.00648 act=933651 obj=1083.74114 diff=0.01774
iter=205 terr=0.00047 serr=0.00606 act=933651 obj=1071.37766 diff=0.01141
iter=206 terr=0.00056 serr=0.00637 act=933651 obj=1091.32268 diff=0.01862
iter=207 terr=0.00044 serr=0.00576 act=933651 obj=1066.29647 diff=0.02293
iter=208 terr=0.00045 serr=0.00586 act=933651 obj=1063.64610 diff=0.00249
iter=209 terr=0.00045 serr=0.00565 act=933651 obj=1058.80238 diff=0.00455
iter=210 terr=0.00043 serr=0.00545 act=933651 obj=1053.49429 diff=0.00501
iter=211 terr=0.00037 serr=0.00524 act=933651 obj=1051.13742 diff=0.00224
iter=212 terr=0.00039 serr=0.00514 act=933651 obj=1040.43157 diff=0.01019
iter=213 terr=0.00036 serr=0.00483 act=933651 obj=1034.06671 diff=0.00612
iter=214 terr=0.00035 serr=0.00473 act=933651 obj=1030.43189 diff=0.00352
iter=215 terr=0.00036 serr=0.00483 act=933651 obj=1022.33643 diff=0.00786
iter=216 terr=0.00143 serr=0.00617 act=933651 obj=1118.04047 diff=0.09361
iter=217 terr=0.00035 serr=0.00442 act=933651 obj=1017.61579 diff=0.08982
iter=218 terr=0.00028 serr=0.00391 act=933651 obj=1006.96110 diff=0.01047
iter=219 terr=0.00031 serr=0.00432 act=933651 obj=1004.16022 diff=0.00278
iter=220 terr=0.00028 serr=0.00401 act=933651 obj=1001.37533 diff=0.00277
iter=221 terr=0.00029 serr=0.00411 act=933651 obj=999.33809 diff=0.00203
iter=222 terr=0.00027 serr=0.00380 act=933651 obj=992.52166 diff=0.00682
iter=223 terr=0.00027 serr=0.00380 act=933651 obj=986.56386 diff=0.00600
iter=224 terr=0.00023 serr=0.00319 act=933651 obj=979.28375 diff=0.00738
iter=225 terr=0.00021 serr=0.00288 act=933651 obj=973.24082 diff=0.00617
iter=226 terr=0.00024 serr=0.00298 act=933651 obj=969.79385 diff=0.00354
iter=227 terr=0.00024 serr=0.00288 act=933651 obj=967.83446 diff=0.00202
iter=228 terr=0.00024 serr=0.00288 act=933651 obj=964.89305 diff=0.00304
iter=229 terr=0.00024 serr=0.00288 act=933651 obj=963.40180 diff=0.00155
iter=230 terr=0.00023 serr=0.00278 act=933651 obj=958.67591 diff=0.00491
iter=231 terr=0.00022 serr=0.00267 act=933651 obj=956.22302 diff=0.00256
iter=232 terr=0.00019 serr=0.00257 act=933651 obj=950.70481 diff=0.00577
iter=233 terr=0.00019 serr=0.00257 act=933651 obj=957.91167 diff=0.00758
iter=234 terr=0.00020 serr=0.00267 act=933651 obj=948.15521 diff=0.01019
iter=235 terr=0.00021 serr=0.00267 act=933651 obj=944.16094 diff=0.00421
iter=236 terr=0.00021 serr=0.00267 act=933651 obj=941.81510 diff=0.00248
iter=237 terr=0.00020 serr=0.00257 act=933651 obj=940.32645 diff=0.00158
iter=238 terr=0.00019 serr=0.00247 act=933651 obj=937.82980 diff=0.00266
iter=239 terr=0.00017 serr=0.00236 act=933651 obj=935.55389 diff=0.00243
iter=240 terr=0.00016 serr=0.00216 act=933651 obj=931.33720 diff=0.00451
iter=241 terr=0.00020 serr=0.00226 act=933651 obj=927.61401 diff=0.00400
iter=242 terr=0.00017 serr=0.00216 act=933651 obj=921.30798 diff=0.00680
iter=243 terr=0.00015 serr=0.00206 act=933651 obj=919.18641 diff=0.00230
iter=244 terr=0.00016 serr=0.00216 act=933651 obj=918.07055 diff=0.00121
iter=245 terr=0.00018 serr=0.00195 act=933651 obj=921.97158 diff=0.00425
iter=246 terr=0.00019 serr=0.00216 act=933651 obj=917.41018 diff=0.00495
iter=247 terr=0.00019 serr=0.00216 act=933651 obj=916.70196 diff=0.00077
iter=248 terr=0.00019 serr=0.00236 act=933651 obj=911.81829 diff=0.00533
iter=249 terr=0.00015 serr=0.00216 act=933651 obj=909.08544 diff=0.00300
iter=250 terr=0.00013 serr=0.00185 act=933651 obj=905.31459 diff=0.00415
iter=251 terr=0.00013 serr=0.00185 act=933651 obj=900.36801 diff=0.00546
iter=252 terr=0.00014 serr=0.00185 act=933651 obj=895.40818 diff=0.00551
iter=253 terr=0.00013 serr=0.00175 act=933651 obj=895.92969 diff=0.00058
iter=254 terr=0.00013 serr=0.00175 act=933651 obj=893.86989 diff=0.00230
iter=255 terr=0.00013 serr=0.00175 act=933651 obj=891.48563 diff=0.00267
iter=256 terr=0.00012 serr=0.00164 act=933651 obj=888.59233 diff=0.00325
iter=257 terr=0.00012 serr=0.00164 act=933651 obj=885.70148 diff=0.00325
iter=258 terr=0.00012 serr=0.00164 act=933651 obj=883.69056 diff=0.00227
iter=259 terr=0.00012 serr=0.00164 act=933651 obj=881.61884 diff=0.00234
iter=260 terr=0.00012 serr=0.00164 act=933651 obj=879.81282 diff=0.00205
iter=261 terr=0.00012 serr=0.00164 act=933651 obj=877.16632 diff=0.00301
iter=262 terr=0.00011 serr=0.00154 act=933651 obj=877.37899 diff=0.00024
iter=263 terr=0.00012 serr=0.00164 act=933651 obj=876.11952 diff=0.00144
iter=264 terr=0.00012 serr=0.00164 act=933651 obj=875.06478 diff=0.00120
iter=265 terr=0.00011 serr=0.00154 act=933651 obj=871.61494 diff=0.00394
iter=266 terr=0.00010 serr=0.00123 act=933651 obj=870.42650 diff=0.00136
iter=267 terr=0.00010 serr=0.00123 act=933651 obj=867.79829 diff=0.00302
iter=268 terr=0.00010 serr=0.00123 act=933651 obj=864.36902 diff=0.00395
iter=269 terr=0.00010 serr=0.00123 act=933651 obj=861.20881 diff=0.00366
iter=270 terr=0.00010 serr=0.00123 act=933651 obj=859.53398 diff=0.00194
iter=271 terr=0.00010 serr=0.00123 act=933651 obj=856.93629 diff=0.00302
iter=272 terr=0.00010 serr=0.00123 act=933651 obj=855.99828 diff=0.00109
iter=273 terr=0.00008 serr=0.00103 act=933651 obj=852.63062 diff=0.00393
iter=274 terr=0.00007 serr=0.00082 act=933651 obj=850.81749 diff=0.00213
iter=275 terr=0.00007 serr=0.00082 act=933651 obj=849.08007 diff=0.00204
iter=276 terr=0.00007 serr=0.00082 act=933651 obj=846.98689 diff=0.00247
iter=277 terr=0.00010 serr=0.00103 act=933651 obj=845.19851 diff=0.00211
iter=278 terr=0.00008 serr=0.00103 act=933651 obj=846.43880 diff=0.00147
iter=279 terr=0.00010 serr=0.00103 act=933651 obj=844.79470 diff=0.00194
iter=280 terr=0.00010 serr=0.00113 act=933651 obj=844.30911 diff=0.00057
iter=281 terr=0.00010 serr=0.00113 act=933651 obj=842.30494 diff=0.00237
iter=282 terr=0.00010 serr=0.00113 act=933651 obj=840.52086 diff=0.00212
iter=283 terr=0.00010 serr=0.00113 act=933651 obj=837.68854 diff=0.00337
iter=284 terr=0.00011 serr=0.00123 act=933651 obj=843.93698 diff=0.00746
iter=285 terr=0.00010 serr=0.00113 act=933651 obj=836.37607 diff=0.00896
iter=286 terr=0.00008 serr=0.00093 act=933651 obj=833.49698 diff=0.00344
iter=287 terr=0.00008 serr=0.00093 act=933651 obj=832.53234 diff=0.00116
iter=288 terr=0.00008 serr=0.00093 act=933651 obj=830.77109 diff=0.00212
iter=289 terr=0.00008 serr=0.00093 act=933651 obj=830.19780 diff=0.00069
iter=290 terr=0.00009 serr=0.00113 act=933651 obj=828.17672 diff=0.00243
iter=291 terr=0.00008 serr=0.00103 act=933651 obj=826.59164 diff=0.00191
iter=292 terr=0.00008 serr=0.00103 act=933651 obj=825.29013 diff=0.00157
iter=293 terr=0.00008 serr=0.00103 act=933651 obj=823.01171 diff=0.00276
iter=294 terr=0.00008 serr=0.00103 act=933651 obj=821.61030 diff=0.00170
iter=295 terr=0.00008 serr=0.00093 act=933651 obj=820.32484 diff=0.00156
iter=296 terr=0.00008 serr=0.00093 act=933651 obj=819.62394 diff=0.00085
iter=297 terr=0.00006 serr=0.00072 act=933651 obj=819.01659 diff=0.00074
iter=298 terr=0.00006 serr=0.00072 act=933651 obj=818.29414 diff=0.00088
iter=299 terr=0.00006 serr=0.00072 act=933651 obj=816.29250 diff=0.00245
iter=300 terr=0.00006 serr=0.00072 act=933651 obj=813.68985 diff=0.00319
iter=301 terr=0.00006 serr=0.00072 act=933651 obj=811.75574 diff=0.00238
iter=302 terr=0.00006 serr=0.00072 act=933651 obj=810.26341 diff=0.00184
iter=303 terr=0.00006 serr=0.00072 act=933651 obj=809.18505 diff=0.00133
iter=304 terr=0.00007 serr=0.00082 act=933651 obj=808.47456 diff=0.00088
iter=305 terr=0.00007 serr=0.00082 act=933651 obj=807.36196 diff=0.00138
iter=306 terr=0.00007 serr=0.00082 act=933651 obj=805.64328 diff=0.00213
iter=307 terr=0.00008 serr=0.00082 act=933651 obj=804.98573 diff=0.00082
iter=308 terr=0.00006 serr=0.00072 act=933651 obj=804.22844 diff=0.00094
iter=309 terr=0.00006 serr=0.00072 act=933651 obj=803.75864 diff=0.00058
iter=310 terr=0.00006 serr=0.00072 act=933651 obj=803.30820 diff=0.00056
iter=311 terr=0.00006 serr=0.00072 act=933651 obj=801.65000 diff=0.00206
iter=312 terr=0.00008 serr=0.00082 act=933651 obj=800.12025 diff=0.00191
iter=313 terr=0.00008 serr=0.00082 act=933651 obj=799.20520 diff=0.00114
iter=314 terr=0.00006 serr=0.00072 act=933651 obj=797.78325 diff=0.00178
iter=315 terr=0.00007 serr=0.00082 act=933651 obj=798.66193 diff=0.00110
iter=316 terr=0.00006 serr=0.00072 act=933651 obj=797.16887 diff=0.00187
iter=317 terr=0.00006 serr=0.00072 act=933651 obj=796.32688 diff=0.00106
iter=318 terr=0.00006 serr=0.00072 act=933651 obj=795.47719 diff=0.00107
iter=319 terr=0.00006 serr=0.00072 act=933651 obj=794.41400 diff=0.00134
iter=320 terr=0.00006 serr=0.00072 act=933651 obj=793.02058 diff=0.00175
iter=321 terr=0.00006 serr=0.00072 act=933651 obj=791.40963 diff=0.00203
iter=322 terr=0.00006 serr=0.00072 act=933651 obj=790.97780 diff=0.00055
iter=323 terr=0.00006 serr=0.00072 act=933651 obj=790.83363 diff=0.00018
iter=324 terr=0.00006 serr=0.00072 act=933651 obj=790.33122 diff=0.00064
iter=325 terr=0.00006 serr=0.00072 act=933651 obj=790.07184 diff=0.00033
iter=326 terr=0.00006 serr=0.00072 act=933651 obj=789.19649 diff=0.00111
iter=327 terr=0.00006 serr=0.00072 act=933651 obj=788.45280 diff=0.00094
iter=328 terr=0.00006 serr=0.00072 act=933651 obj=787.90224 diff=0.00070
iter=329 terr=0.00006 serr=0.00072 act=933651 obj=787.09130 diff=0.00103
iter=330 terr=0.00006 serr=0.00072 act=933651 obj=786.57867 diff=0.00065
iter=331 terr=0.00006 serr=0.00072 act=933651 obj=786.08655 diff=0.00063
iter=332 terr=0.00006 serr=0.00072 act=933651 obj=785.13658 diff=0.00121
iter=333 terr=0.00006 serr=0.00072 act=933651 obj=784.53008 diff=0.00077
iter=334 terr=0.00006 serr=0.00072 act=933651 obj=784.01134 diff=0.00066
iter=335 terr=0.00006 serr=0.00072 act=933651 obj=783.72796 diff=0.00036
iter=336 terr=0.00006 serr=0.00072 act=933651 obj=783.36805 diff=0.00046
iter=337 terr=0.00006 serr=0.00072 act=933651 obj=785.02039 diff=0.00211
iter=338 terr=0.00006 serr=0.00072 act=933651 obj=783.10630 diff=0.00244
iter=339 terr=0.00006 serr=0.00072 act=933651 obj=782.61535 diff=0.00063
iter=340 terr=0.00006 serr=0.00072 act=933651 obj=781.90130 diff=0.00091
iter=341 terr=0.00006 serr=0.00072 act=933651 obj=781.20739 diff=0.00089
iter=342 terr=0.00006 serr=0.00072 act=933651 obj=780.03704 diff=0.00150
iter=343 terr=0.00006 serr=0.00072 act=933651 obj=778.80257 diff=0.00158
iter=344 terr=0.00006 serr=0.00072 act=933651 obj=778.04796 diff=0.00097
iter=345 terr=0.00006 serr=0.00072 act=933651 obj=777.46567 diff=0.00075
iter=346 terr=0.00006 serr=0.00072 act=933651 obj=776.98514 diff=0.00062
iter=347 terr=0.00006 serr=0.00072 act=933651 obj=776.14486 diff=0.00108
iter=348 terr=0.00006 serr=0.00072 act=933651 obj=775.31919 diff=0.00106
iter=349 terr=0.00006 serr=0.00072 act=933651 obj=774.37783 diff=0.00121
iter=350 terr=0.00006 serr=0.00072 act=933651 obj=773.98973 diff=0.00050
iter=351 terr=0.00006 serr=0.00072 act=933651 obj=773.28697 diff=0.00091
iter=352 terr=0.00006 serr=0.00072 act=933651 obj=772.42028 diff=0.00112
iter=353 terr=0.00006 serr=0.00072 act=933651 obj=772.09496 diff=0.00042
iter=354 terr=0.00006 serr=0.00072 act=933651 obj=771.84907 diff=0.00032
iter=355 terr=0.00006 serr=0.00072 act=933651 obj=771.69436 diff=0.00020
iter=356 terr=0.00006 serr=0.00072 act=933651 obj=771.25622 diff=0.00057
iter=357 terr=0.00006 serr=0.00072 act=933651 obj=770.59061 diff=0.00086
iter=358 terr=0.00006 serr=0.00072 act=933651 obj=770.29758 diff=0.00038
iter=359 terr=0.00006 serr=0.00072 act=933651 obj=769.57626 diff=0.00094
iter=360 terr=0.00006 serr=0.00072 act=933651 obj=769.37279 diff=0.00026
iter=361 terr=0.00006 serr=0.00072 act=933651 obj=769.15956 diff=0.00028
iter=362 terr=0.00006 serr=0.00072 act=933651 obj=768.58725 diff=0.00074
iter=363 terr=0.00006 serr=0.00072 act=933651 obj=768.02523 diff=0.00073
iter=364 terr=0.00006 serr=0.00072 act=933651 obj=767.57012 diff=0.00059
iter=365 terr=0.00006 serr=0.00072 act=933651 obj=767.18239 diff=0.00051
iter=366 terr=0.00006 serr=0.00072 act=933651 obj=766.81068 diff=0.00048
iter=367 terr=0.00006 serr=0.00072 act=933651 obj=766.64941 diff=0.00021
iter=368 terr=0.00006 serr=0.00072 act=933651 obj=766.43199 diff=0.00028
iter=369 terr=0.00006 serr=0.00072 act=933651 obj=765.87659 diff=0.00072
iter=370 terr=0.00006 serr=0.00072 act=933651 obj=765.72204 diff=0.00020
iter=371 terr=0.00006 serr=0.00072 act=933651 obj=765.17778 diff=0.00071
iter=372 terr=0.00006 serr=0.00072 act=933651 obj=764.93279 diff=0.00032
iter=373 terr=0.00006 serr=0.00072 act=933651 obj=764.72964 diff=0.00027
iter=374 terr=0.00006 serr=0.00072 act=933651 obj=764.37062 diff=0.00047
iter=375 terr=0.00006 serr=0.00072 act=933651 obj=764.12993 diff=0.00031
iter=376 terr=0.00006 serr=0.00072 act=933651 obj=763.59660 diff=0.00070
iter=377 terr=0.00006 serr=0.00072 act=933651 obj=763.05991 diff=0.00070
iter=378 terr=0.00006 serr=0.00072 act=933651 obj=762.71675 diff=0.00045
iter=379 terr=0.00006 serr=0.00072 act=933651 obj=762.58031 diff=0.00018
iter=380 terr=0.00006 serr=0.00072 act=933651 obj=762.24300 diff=0.00044
iter=381 terr=0.00006 serr=0.00072 act=933651 obj=762.81444 diff=0.00075
iter=382 terr=0.00006 serr=0.00072 act=933651 obj=762.03939 diff=0.00102
iter=383 terr=0.00006 serr=0.00072 act=933651 obj=761.65898 diff=0.00050
iter=384 terr=0.00006 serr=0.00072 act=933651 obj=761.29193 diff=0.00048
iter=385 terr=0.00006 serr=0.00072 act=933651 obj=761.04755 diff=0.00032
iter=386 terr=0.00006 serr=0.00072 act=933651 obj=760.78625 diff=0.00034
iter=387 terr=0.00006 serr=0.00072 act=933651 obj=760.53009 diff=0.00034
iter=388 terr=0.00006 serr=0.00072 act=933651 obj=760.26454 diff=0.00035
iter=389 terr=0.00006 serr=0.00072 act=933651 obj=760.11937 diff=0.00019
iter=390 terr=0.00006 serr=0.00072 act=933651 obj=759.98034 diff=0.00018
iter=391 terr=0.00006 serr=0.00072 act=933651 obj=759.47207 diff=0.00067
iter=392 terr=0.00006 serr=0.00072 act=933651 obj=759.09611 diff=0.00050
iter=393 terr=0.00006 serr=0.00072 act=933651 obj=758.78366 diff=0.00041
iter=394 terr=0.00006 serr=0.00072 act=933651 obj=758.46218 diff=0.00042
iter=395 terr=0.00006 serr=0.00072 act=933651 obj=757.80734 diff=0.00086
iter=396 terr=0.00006 serr=0.00072 act=933651 obj=758.10750 diff=0.00040
iter=397 terr=0.00006 serr=0.00072 act=933651 obj=757.64724 diff=0.00061
iter=398 terr=0.00006 serr=0.00072 act=933651 obj=757.37707 diff=0.00036
iter=399 terr=0.00006 serr=0.00072 act=933651 obj=757.15904 diff=0.00029
iter=400 terr=0.00006 serr=0.00072 act=933651 obj=756.68803 diff=0.00062
iter=401 terr=0.00006 serr=0.00072 act=933651 obj=756.67540 diff=0.00002
iter=402 terr=0.00006 serr=0.00072 act=933651 obj=756.47931 diff=0.00026
iter=403 terr=0.00006 serr=0.00072 act=933651 obj=756.21815 diff=0.00035
iter=404 terr=0.00006 serr=0.00072 act=933651 obj=755.92619 diff=0.00039
iter=405 terr=0.00006 serr=0.00072 act=933651 obj=755.79774 diff=0.00017
iter=406 terr=0.00006 serr=0.00072 act=933651 obj=755.49921 diff=0.00039
iter=407 terr=0.00006 serr=0.00072 act=933651 obj=755.39893 diff=0.00013
iter=408 terr=0.00006 serr=0.00072 act=933651 obj=755.25398 diff=0.00019
iter=409 terr=0.00006 serr=0.00072 act=933651 obj=755.53095 diff=0.00037
iter=410 terr=0.00006 serr=0.00072 act=933651 obj=755.11070 diff=0.00056
iter=411 terr=0.00006 serr=0.00072 act=933651 obj=754.83067 diff=0.00037
iter=412 terr=0.00006 serr=0.00072 act=933651 obj=754.49274 diff=0.00045
iter=413 terr=0.00006 serr=0.00072 act=933651 obj=754.19883 diff=0.00039
iter=414 terr=0.00006 serr=0.00072 act=933651 obj=754.31457 diff=0.00015
iter=415 terr=0.00006 serr=0.00072 act=933651 obj=754.10511 diff=0.00028
iter=416 terr=0.00006 serr=0.00072 act=933651 obj=753.96952 diff=0.00018
iter=417 terr=0.00006 serr=0.00072 act=933651 obj=753.79831 diff=0.00023
iter=418 terr=0.00006 serr=0.00072 act=933651 obj=753.42520 diff=0.00049
iter=419 terr=0.00006 serr=0.00072 act=933651 obj=753.16845 diff=0.00034
iter=420 terr=0.00006 serr=0.00072 act=933651 obj=753.00471 diff=0.00022
iter=421 terr=0.00006 serr=0.00072 act=933651 obj=752.83821 diff=0.00022
iter=422 terr=0.00006 serr=0.00072 act=933651 obj=752.72632 diff=0.00015
iter=423 terr=0.00006 serr=0.00072 act=933651 obj=752.55174 diff=0.00023
iter=424 terr=0.00006 serr=0.00072 act=933651 obj=752.24020 diff=0.00041
iter=425 terr=0.00006 serr=0.00072 act=933651 obj=752.09586 diff=0.00019
iter=426 terr=0.00006 serr=0.00072 act=933651 obj=751.86664 diff=0.00030
iter=427 terr=0.00006 serr=0.00072 act=933651 obj=751.66232 diff=0.00027
iter=428 terr=0.00006 serr=0.00072 act=933651 obj=751.53724 diff=0.00017
iter=429 terr=0.00006 serr=0.00072 act=933651 obj=751.36668 diff=0.00023
iter=430 terr=0.00006 serr=0.00072 act=933651 obj=751.10155 diff=0.00035
iter=431 terr=0.00006 serr=0.00072 act=933651 obj=751.00631 diff=0.00013
iter=432 terr=0.00006 serr=0.00072 act=933651 obj=750.65271 diff=0.00047
iter=433 terr=0.00006 serr=0.00072 act=933651 obj=750.52396 diff=0.00017
iter=434 terr=0.00006 serr=0.00072 act=933651 obj=750.42090 diff=0.00014
iter=435 terr=0.00006 serr=0.00072 act=933651 obj=750.21183 diff=0.00028
iter=436 terr=0.00006 serr=0.00072 act=933651 obj=750.00174 diff=0.00028
iter=437 terr=0.00006 serr=0.00072 act=933651 obj=749.84693 diff=0.00021
iter=438 terr=0.00006 serr=0.00072 act=933651 obj=749.72181 diff=0.00017
iter=439 terr=0.00006 serr=0.00072 act=933651 obj=749.67169 diff=0.00007
iter=440 terr=0.00006 serr=0.00072 act=933651 obj=749.57197 diff=0.00013
iter=441 terr=0.00006 serr=0.00072 act=933651 obj=749.40065 diff=0.00023
iter=442 terr=0.00006 serr=0.00072 act=933651 obj=749.22838 diff=0.00023
iter=443 terr=0.00006 serr=0.00072 act=933651 obj=748.92847 diff=0.00040
iter=444 terr=0.00006 serr=0.00072 act=933651 obj=748.72124 diff=0.00028
iter=445 terr=0.00006 serr=0.00072 act=933651 obj=748.35478 diff=0.00049
iter=446 terr=0.00006 serr=0.00072 act=933651 obj=748.19200 diff=0.00022
iter=447 terr=0.00006 serr=0.00072 act=933651 obj=748.06187 diff=0.00017
iter=448 terr=0.00006 serr=0.00072 act=933651 obj=747.86780 diff=0.00026
iter=449 terr=0.00006 serr=0.00072 act=933651 obj=748.61909 diff=0.00100
iter=450 terr=0.00006 serr=0.00072 act=933651 obj=747.77227 diff=0.00113
iter=451 terr=0.00006 serr=0.00072 act=933651 obj=747.61007 diff=0.00022
iter=452 terr=0.00006 serr=0.00072 act=933651 obj=747.46300 diff=0.00020
iter=453 terr=0.00006 serr=0.00072 act=933651 obj=747.39617 diff=0.00009
iter=454 terr=0.00006 serr=0.00072 act=933651 obj=747.29032 diff=0.00014
iter=455 terr=0.00006 serr=0.00072 act=933651 obj=747.07723 diff=0.00029
iter=456 terr=0.00006 serr=0.00072 act=933651 obj=746.68501 diff=0.00053
iter=457 terr=0.00006 serr=0.00072 act=933651 obj=747.58050 diff=0.00120
iter=458 terr=0.00006 serr=0.00072 act=933651 obj=746.62460 diff=0.00128
iter=459 terr=0.00006 serr=0.00072 act=933651 obj=746.56501 diff=0.00008
iter=460 terr=0.00006 serr=0.00072 act=933651 obj=746.51671 diff=0.00006
iter=461 terr=0.00006 serr=0.00072 act=933651 obj=746.42525 diff=0.00012
iter=462 terr=0.00006 serr=0.00072 act=933651 obj=746.25510 diff=0.00023
iter=463 terr=0.00006 serr=0.00072 act=933651 obj=746.06178 diff=0.00026
iter=464 terr=0.00006 serr=0.00072 act=933651 obj=745.98112 diff=0.00011
iter=465 terr=0.00006 serr=0.00072 act=933651 obj=745.89549 diff=0.00011
iter=466 terr=0.00006 serr=0.00072 act=933651 obj=745.83044 diff=0.00009
iter=467 terr=0.00006 serr=0.00072 act=933651 obj=745.80787 diff=0.00003
iter=468 terr=0.00006 serr=0.00072 act=933651 obj=745.76586 diff=0.00006

Done!837.96 s

-> Setting up chunker: chunker_cp
--> Chunk propagation
2017-06-14 20:24:20,545 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00099883.xml
(ChunkerEvaluator) Sentence #1 from 00099883 from sent1

Text  : Toronto Dominion Centre
Tokens: 1______ 2_______ 3_____

Chunks:
  TruePositive nam [1,3] = Toronto Dominion Centre (confidence=0.87)

(ChunkerEvaluator) Sentence #2 from 00099883 from sent2

Text  : Toronto Dominion Centre - kompleks handlowo - kulturalny w kanadyjskim mieście Toronto ,_ w_ Financial District ._
Tokens: 1______ 2_______ 3_____ 4 5_______ 6_______ 7 8_________ 9 10_________ 11_____ 12_____ 13 14 15_______ 16______ 17

Chunks:
  TruePositive nam [1,3] = Toronto Dominion Centre (confidence=0.87)
  TruePositive nam [12,12] = Toronto (confidence=0.98)
  TruePositive nam [15,16] = Financial District (confidence=1.00)

(ChunkerEvaluator) Sentence #3 from 00099883 from sent3

Text  : Składa się z 3 czarnych budynków , zaprojektowanych przez architekta Ludwiga Mies van der Rohe ._
Tokens: 1_____ 2__ 3 4 5_______ 6_______ 7 8_______________ 9____ 10________ 11_____ 12__ 13_ 14_ 15__ 16

Chunks:
  TruePositive nam [11,15] = Ludwiga Mies van der Rohe (confidence=1.00)

(ChunkerEvaluator) Sentence #4 from 00099883 from sent4

Text  : Budynki tworzą odgrodzony od ulic dziedziniec , na którym Joe Fafard ustawił 6_ odpoczywających krów z_ brązu ._
Tokens: 1______ 2_____ 3_________ 4_ 5___ 6__________ 7 8_ 9_____ 10_ 11____ 12_____ 13 14_____________ 15__ 16 17___ 18

Chunks:
  TruePositive nam [10,11] = Joe Fafard (confidence=1.00)

(ChunkerEvaluator) Sentence #5 from 00099883 from sent5

Text  : Pomiędzy budynkami stoi także wielkie krzesło .
Tokens: 1_______ 2________ 3___ 4____ 5______ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #6 from 00099883 from sent6

Text  : W południe odbywają się koncerty jazzowe .
Tokens: 1 2_______ 3_______ 4__ 5_______ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #7 from 00099883 from sent7

Text  : W kompleksie znajduje się jedna z najważniejszych galerii sztuki Inuitów –_ Toronto Dominion Gallery of Inuit Art ._
Tokens: 1 2_________ 3_______ 4__ 5____ 6 7______________ 8______ 9_____ 10_____ 11 12_____ 13______ 14_____ 15 16___ 17_ 18

Chunks:
  TruePositive nam [10,10] = Inuitów (confidence=1.00)
  TruePositive nam [12,17] = Toronto Dominion Gallery of Inuit Art (confidence=0.99)

2017-06-14 20:24:20,575 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 2 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100507.xml
(ChunkerEvaluator) Sentence #8 from 00100507 from sent1

Text  : Wieża szybowa ( górnictwo )
Tokens: 1____ 2______ 3 4________ 5

Chunks:

(ChunkerEvaluator) Sentence #9 from 00100507 from sent2

Text  : Wieża szybowa - wysoka konstrukcja żelbetowa , stalowa , betonowa ,_ murowa ,_ lub drewniana ,_ postawiona nad szybem ._
Tokens: 1____ 2______ 3 4_____ 5__________ 6________ 7 8______ 9 10______ 11 12____ 13 14_ 15_______ 16 17________ 18_ 19____ 20

Chunks:

(ChunkerEvaluator) Sentence #10 from 00100507 from sent3

Text  : W górnej części wieży ( głowicy ) zabudowane są koła kierownicze lin wyciągu szybowego lub maszyna wyciągowa ._
Tokens: 1 2_____ 3_____ 4____ 5 6______ 7 8_________ 9_ 10__ 11_________ 12_ 13_____ 14_______ 15_ 16_____ 17_______ 18

Chunks:

(ChunkerEvaluator) Sentence #11 from 00100507 from sent4

Text  : W dolnej części wieży szybowej usytuowane jest nadszybie .
Tokens: 1 2_____ 3_____ 4____ 5_______ 6_________ 7___ 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #12 from 00100507 from sent5

Text  : W czasie głębienia szybu stosowane są wieże tymczasowe .
Tokens: 1 2_____ 3________ 4____ 5________ 6_ 7____ 8_________ 9

Chunks:

(ChunkerEvaluator) Sentence #13 from 00100507 from sent6

Text  : Rodzaje wież szybowych
Tokens: 1______ 2___ 3________

Chunks:

(ChunkerEvaluator) Sentence #14 from 00100507 from sent7

Text  : Basztowe ( wolnostojące )
Tokens: 1_______ 2 3___________ 4

Chunks:

(ChunkerEvaluator) Sentence #15 from 00100507 from sent8

Text  : Trzonowe pełne
Tokens: 1_______ 2____

Chunks:

(ChunkerEvaluator) Sentence #16 from 00100507 from sent9

Text  : Trzonowe dzielone
Tokens: 1_______ 2_______

Chunks:

(ChunkerEvaluator) Sentence #17 from 00100507 from sent10

Text  : Trzonowe słupowe
Tokens: 1_______ 2______

Chunks:

(ChunkerEvaluator) Sentence #18 from 00100507 from sent11

Text  : Słupowe
Tokens: 1______

Chunks:
  FalsePositive nam [1,1] = Słupowe (confidence=0.80) (incorrect boundry)

(ChunkerEvaluator) Sentence #19 from 00100507 from sent12

Text  : Zastrzałowe
Tokens: 1__________

Chunks:
  FalsePositive nam [1,1] = Zastrzałowe (confidence=0.86) (incorrect boundry)

(ChunkerEvaluator) Sentence #20 from 00100507 from sent13

Text  : Jednozastrzałowe
Tokens: 1_______________

Chunks:
  FalsePositive nam [1,1] = Jednozastrzałowe (confidence=0.82) (incorrect boundry)

(ChunkerEvaluator) Sentence #21 from 00100507 from sent14

Text  : Dwuzastrzałowae ( kozłowe ) .
Tokens: 1______________ 2 3______ 4 5

Chunks:
  FalsePositive nam [1,1] = Dwuzastrzałowae (confidence=0.67) (incorrect boundry)

2017-06-14 20:24:20,598 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 3 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100533.xml
(ChunkerEvaluator) Sentence #22 from 00100533 from sent1

Text  : Przygotowania do bitwy zaczynają się na długo przed ostatnią środą sierpnia ._
Tokens: 1____________ 2_ 3____ 4________ 5__ 6_ 7____ 8____ 9_______ 10___ 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #23 from 00100533 from sent2

Text  : Przede wszystkim w regionie Extremadura dojrzewają przeznaczone na bitwę pomidory ._
Tokens: 1_____ 2________ 3 4_______ 5__________ 6_________ 7___________ 8_ 9____ 10______ 11

Chunks:
  TruePositive nam [5,5] = Extremadura (confidence=1.00)

(ChunkerEvaluator) Sentence #24 from 00100533 from sent3

Text  : Używa się specjalnej ich odmiany , która choć o obniżonych walorach smakowych jest tańsza niż pomidory sprzedawane w_ hurtowniach ._
Tokens: 1____ 2__ 3_________ 4__ 5______ 6 7____ 8___ 9 10________ 11______ 12_______ 13__ 14____ 15_ 16______ 17_________ 18 19_________ 20

Chunks:

(ChunkerEvaluator) Sentence #25 from 00100533 from sent4

Text  : W przeddzień bitwy fronty kamienic na głównym rynku Buñol oraz budynki z_ sąsiednich ulic są zabezpieczane trwałymi plandekami przed zabrudzeniami elewacji i_ balkonów ._
Tokens: 1 2_________ 3____ 4_____ 5_______ 6_ 7______ 8____ 9____ 10__ 11_____ 12 13________ 14__ 15 16___________ 17______ 18________ 19___ 20___________ 21______ 22 23______ 24

Chunks:
  TruePositive nam [9,9] = Buñol (confidence=1.00)

(ChunkerEvaluator) Sentence #26 from 00100533 from sent5

Text  : W tym czasie ciężarowe samochody z przyczepami wypełnionymi pomidorami czekają gotowe do nadchodzącej bitwy ._
Tokens: 1 2__ 3_____ 4________ 5________ 6 7__________ 8___________ 9_________ 10_____ 11____ 12 13__________ 14___ 15

Chunks:

(ChunkerEvaluator) Sentence #27 from 00100533 from sent6

Text  : Rozpoczęcie Tomatiny następuje ok . godziny 10 .
Tokens: 1__________ 2_______ 3________ 4_ 5 6______ 7_ 8

Chunks:
  TruePositive nam [2,2] = Tomatiny (confidence=0.55)

(ChunkerEvaluator) Sentence #28 from 00100533 from sent7

Text  : Aby mogło to nastąpić najpierw jeden ze śmiałków z tłumu musi wspiąć się na nasmarowany mydłem słup ,_ na szczycie którego znajduje się hiszpańska szynka ._
Tokens: 1__ 2____ 3_ 4_______ 5_______ 6____ 7_ 8_______ 9 10___ 11__ 12____ 13_ 14 15_________ 16____ 17__ 18 19 20______ 21_____ 22______ 23_ 24________ 25____ 26

Chunks:

(ChunkerEvaluator) Sentence #29 from 00100533 from sent8

Text  : W trakcie kolejnych prób , rozbawiony tłum śpiewa , tańczy i_ domaga się polewania siebie wodą przez strażaków oraz mieszkańców zgromadzonych na wyższych kondygnacjach budynków ._
Tokens: 1 2______ 3________ 4___ 5 6_________ 7___ 8_____ 9 10____ 11 12____ 13_ 14_______ 15____ 16__ 17___ 18_______ 19__ 20_________ 21___________ 22 23______ 24___________ 25______ 26

Chunks:

(ChunkerEvaluator) Sentence #30 from 00100533 from sent9

Text  : Kiedy któremuś z ochotników uda się wspiąć po szynkę ,_ armatni wystrzał daje znać do rozpoczęcia bitwy ._
Tokens: 1____ 2_______ 3 4_________ 5__ 6__ 7_____ 8_ 9_____ 10 11_____ 12______ 13__ 14__ 15 16_________ 17___ 18

Chunks:

(ChunkerEvaluator) Sentence #31 from 00100533 from sent10

Text  : Z ciężarówek pomidory są wyrzucane przez wcześniej wybranych chętnych wprost na uczestników bawiących się między uliczkami centrum ._
Tokens: 1 2_________ 3_______ 4_ 5________ 6____ 7________ 8________ 9_______ 10____ 11 12_________ 13_______ 14_ 15____ 16_______ 17_____ 18

Chunks:

(ChunkerEvaluator) Sentence #32 from 00100533 from sent11

Text  : Bitwa polega na wzajemnym obrzucaniu się pomidorami , " każdy każdego "_ ,_ organizatorzy zalecają uprzednie zmiażdżenie ich w_ dłoniach by uniknąć ewentualnych obrażeń ._
Tokens: 1____ 2_____ 3_ 4________ 5_________ 6__ 7_________ 8 9 10___ 11_____ 12 13 14___________ 15______ 16_______ 17_________ 18_ 19 20______ 21 22_____ 23__________ 24_____ 25

Chunks:

(ChunkerEvaluator) Sentence #33 from 00100533 from sent12

Text  : Wskazany jest luźny ubiór , który najprawdopodobniej nie będzie nadawał się do ponownego użytku oraz pełne i_ wiązane buty ,_ które mocno trzymać będą się na nogach ._
Tokens: 1_______ 2___ 3____ 4____ 5 6____ 7_________________ 8__ 9_____ 10_____ 11_ 12 13_______ 14____ 15__ 16___ 17 18_____ 19__ 20 21___ 22___ 23_____ 24__ 25_ 26 27____ 28

Chunks:

(ChunkerEvaluator) Sentence #34 from 00100533 from sent13

Text  : W celach bezpieczeństwa zakazane jest wnoszenie przedmiotów mogących stwarzać zagrożenie ,_ przed wszystkim szklanych opakowań ._
Tokens: 1 2_____ 3_____________ 4_______ 5___ 6________ 7__________ 8_______ 9_______ 10________ 11 12___ 13_______ 14_______ 15______ 16

Chunks:

(ChunkerEvaluator) Sentence #35 from 00100533 from sent14

Text  : Zasadą jest także zakaz wzajemnego zrywania i rzucania koszulkami ,_ jednak nie jest on przestrzegany i_ trzeba mieć na uwadze ,_ że z_ bitwy wracać będziemy bez górnej części garderoby ,_ dotyczy to zarówno kobiet jak i_ mężczyzn ._
Tokens: 1_____ 2___ 3____ 4____ 5_________ 6_______ 7 8_______ 9_________ 10 11____ 12_ 13__ 14 15___________ 16 17____ 18__ 19 20____ 21 22 23 24___ 25____ 26______ 27_ 28____ 29____ 30_______ 31 32_____ 33 34_____ 35____ 36_ 37 38______ 39

Chunks:

(ChunkerEvaluator) Sentence #36 from 00100533 from sent15

Text  : Bitwa trwa godzinę i kończy się w podobny sposób jak zaczyna ,_ to jest od armatniego wystrzału ,_ który następuje po godzinie od pierwszego ._
Tokens: 1____ 2___ 3______ 4 5_____ 6__ 7 8______ 9_____ 10_ 11_____ 12 13 14__ 15 16________ 17_______ 18 19___ 20_______ 21 22______ 23 24________ 25

Chunks:

(ChunkerEvaluator) Sentence #37 from 00100533 from sent16

Text  : Po zakończeniu Tomatiny zaczyna się proces sprzątania .
Tokens: 1_ 2__________ 3_______ 4______ 5__ 6_____ 7_________ 8

Chunks:
  TruePositive nam [3,3] = Tomatiny (confidence=1.00)

(ChunkerEvaluator) Sentence #38 from 00100533 from sent17

Text  : Uczestnicy korzystają z przygotowanych w tym celu publicznych pryszniców ,_ często również z_ pomocy miejscowej ludności ,_ która chętnie służy przyjezdnym wodą z_ ogrodowego węża ._
Tokens: 1_________ 2_________ 3 4_____________ 5 6__ 7___ 8__________ 9_________ 10 11____ 12_____ 13 14____ 15________ 16______ 17 18___ 19_____ 20___ 21_________ 22__ 23 24________ 25__ 26

Chunks:

(ChunkerEvaluator) Sentence #39 from 00100533 from sent18

Text  : Ulicami zajmują się służby miejskie wspomagane przez strażaków , którzy spłukują hektolitry przecieru pomidorowego pozostałego po bitwie ._
Tokens: 1______ 2______ 3__ 4_____ 5_______ 6_________ 7____ 8________ 9 10____ 11______ 12________ 13_______ 14__________ 15_________ 16 17____ 18

Chunks:

(ChunkerEvaluator) Sentence #40 from 00100533 from sent19

Text  : Corocznie udział w Tomatinie bierze ok . 30 . 000 osób ._
Tokens: 1________ 2_____ 3 4________ 5_____ 6_ 7 8_ 9 10_ 11__ 12

Chunks:
  TruePositive nam [4,4] = Tomatinie (confidence=0.98)

2017-06-14 20:24:20,699 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100632.xml
(ChunkerEvaluator) Sentence #41 from 00100632 from sent1

Text  : Długa była droga przeciętnego członka społeczności plemiennej do miejsca kultu czy świątyni ._
Tokens: 1____ 2___ 3____ 4___________ 5______ 6___________ 7_________ 8_ 9______ 10___ 11_ 12______ 13

Chunks:

(ChunkerEvaluator) Sentence #42 from 00100632 from sent2

Text  : Wynosiła ona w dzisiejszych miarach wiele kilometrów uciążliwej drogi ,_ oderwania od normalnych zajęć ._
Tokens: 1_______ 2__ 3 4___________ 5______ 6____ 7_________ 8_________ 9____ 10 11_______ 12 13________ 14___ 15

Chunks:

(ChunkerEvaluator) Sentence #43 from 00100632 from sent3

Text  : Na to nie każdy i nie na co dzień mógł sobie pozwolić ._
Tokens: 1_ 2_ 3__ 4____ 5 6__ 7_ 8_ 9____ 10__ 11___ 12______ 13

Chunks:

(ChunkerEvaluator) Sentence #44 from 00100632 from sent4

Text  : A z bogami mimo takich czy innych świąt trzeba było mieć codzienny niemal kontakt ,_ trzeba było ciągle się z_ nimi stykać ._
Tokens: 1 2 3_____ 4___ 5_____ 6__ 7_____ 8____ 9_____ 10__ 11__ 12_______ 13____ 14_____ 15 16____ 17__ 18____ 19_ 20 21__ 22____ 23

Chunks:

(ChunkerEvaluator) Sentence #45 from 00100632 from sent5

Text  : Trzeba było składać ofiary , aby ich ubłagać lub im podziękować ,_ trzeba było zasięgnąć wróżby ._
Tokens: 1_____ 2___ 3______ 4_____ 5 6__ 7__ 8______ 9__ 10 11_________ 12 13____ 14__ 15_______ 16____ 17

Chunks:

(ChunkerEvaluator) Sentence #46 from 00100632 from sent6

Text  : Wreszcie bogowie to nie tylko figury tkwiące w świątyniach ._
Tokens: 1_______ 2______ 3_ 4__ 5____ 6_____ 7______ 8 9__________ 10

Chunks:

(ChunkerEvaluator) Sentence #47 from 00100632 from sent7

Text  : Ci bogowie tkwili niemal wszędzie .
Tokens: 1_ 2______ 3_____ 4_____ 5_______ 6

Chunks:

(ChunkerEvaluator) Sentence #48 from 00100632 from sent8

Text  : Byli w lasach i na polach , w jeziorach i_ rzekach ,_ w_ źródłach ,_ które czasami miały moc leczniczą ._
Tokens: 1___ 2 3_____ 4 5_ 6_____ 7 8 9________ 10 11_____ 12 13 14______ 15 16___ 17_____ 18___ 19_ 20_______ 21

Chunks:

(ChunkerEvaluator) Sentence #49 from 00100632 from sent9

Text  : Jeśli nie było w pobliżu kapłanów , miejsce ich zajmowali starcy z_ rodu lub po prostu ojcowie rodzin ._
Tokens: 1____ 2__ 3___ 4 5______ 6_______ 7 8______ 9__ 10_______ 11____ 12 13__ 14_ 15 16____ 17_____ 18____ 19

Chunks:

(ChunkerEvaluator) Sentence #50 from 00100632 from sent10

Text  : Oni składali ofiary i sprawowali wróżby .
Tokens: 1__ 2_______ 3_____ 4 5_________ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #51 from 00100632 from sent11

Text  : Wróżby odgrywały w życiu Słowian dużą rolę .
Tokens: 1_____ 2________ 3 4____ 5______ 6___ 7___ 8

Chunks:
  TruePositive nam [5,5] = Słowian (confidence=0.98)

(ChunkerEvaluator) Sentence #52 from 00100632 from sent12

Text  : Nie tylko bowiem sprawy osobiste jednostek , ale także sprawy państwowe ,_ jak wyprawa wojenna lub pokój ,_ zależały od wyniku wróżb ._
Tokens: 1__ 2____ 3_____ 4_____ 5_______ 6________ 7 8__ 9____ 10____ 11_______ 12 13_ 14_____ 15_____ 16_ 17___ 18 19______ 20 21____ 22___ 23

Chunks:

(ChunkerEvaluator) Sentence #53 from 00100632 from sent13

Text  : Dawało to kapłanom jako wróżbitom znaczną władzę do ręki ._
Tokens: 1_____ 2_ 3_______ 4___ 5________ 6______ 7_____ 8_ 9___ 10

Chunks:

(ChunkerEvaluator) Sentence #54 from 00100632 from sent14

Text  : Najwięcej uwagi badaczy pociągały wróżby z zachowania się koni ._
Tokens: 1________ 2____ 3______ 4________ 5_____ 6 7_________ 8__ 9___ 10

Chunks:

(ChunkerEvaluator) Sentence #55 from 00100632 from sent15

Text  : Wiadomo mianowicie , że w Szczecinie przy świątyni Trzygłowa hodowano wyłącznie do wróżb konia czarnego ,_ w_ Arkonie przy świątyni Świętowita —_ białego ._
Tokens: 1______ 2_________ 3 4_ 5 6_________ 7___ 8_______ 9________ 10______ 11_______ 12 13___ 14___ 15______ 16 17 18_____ 19__ 20______ 21________ 22 23_____ 24

Chunks:
  TruePositive nam [6,6] = Szczecinie (confidence=0.99)
  TruePositive nam [9,9] = Trzygłowa (confidence=0.84)
  TruePositive nam [18,18] = Arkonie (confidence=0.95)
  TruePositive nam [21,21] = Świętowita (confidence=0.96)

(ChunkerEvaluator) Sentence #56 from 00100632 from sent16

Text  : Wyraźnie poświadczony jest też koń wróżący w Radogoszczu .
Tokens: 1_______ 2___________ 3___ 4__ 5__ 6______ 7 8__________ 9

Chunks:
  TruePositive nam [8,8] = Radogoszczu (confidence=0.99)

(ChunkerEvaluator) Sentence #57 from 00100632 from sent17

Text  : Były one otoczone szczególną czcią i opieką , miały nawet osobnych kapłanów do obsługi (_ w_ Arkonie mógł czasem ten kapłan konia dosiadać )_ ._
Tokens: 1___ 2__ 3_______ 4_________ 5____ 6 7_____ 8 9____ 10___ 11______ 12______ 13 14_____ 15 16 17_____ 18__ 19____ 20_ 21____ 22___ 23______ 24 25

Chunks:
  TruePositive nam [17,17] = Arkonie (confidence=0.99)

(ChunkerEvaluator) Sentence #58 from 00100632 from sent18

Text  : Na tych koniach jeździł niekiedy bóg ( Świętowit na nocne walki )_ ,_ ale najważniejszą ich funkcją było wróżenie ._
Tokens: 1_ 2___ 3______ 4______ 5_______ 6__ 7 8________ 9_ 10___ 11___ 12 13 14_ 15___________ 16_ 17_____ 18__ 19______ 20

Chunks:
  TruePositive nam [8,8] = Świętowit (confidence=0.92)

(ChunkerEvaluator) Sentence #59 from 00100632 from sent19

Text  : Kapłan wbijał najpierw w ziemię kilka włóczni parami , oczywiście w_ specjalny sposób ,_ raczej niejasno opisany przez kronikarzy ,_ a_ następnie przeprowadzał przez nie konia ._
Tokens: 1_____ 2_____ 3_______ 4 5_____ 6____ 7______ 8_____ 9 10________ 11 12_______ 13____ 14 15____ 16______ 17_____ 18___ 19________ 20 21 22_______ 23___________ 24___ 25_ 26___ 27

Chunks:

(ChunkerEvaluator) Sentence #60 from 00100632 from sent20

Text  : Wróżba uchodziła za pomyślną , jeżeli koń przekroczył wszystkie te przeszkody prawą nogą (_ tak w_ Arkonie )_ ,_ albo jeżeli żadnej nie potrącił (_ tak znów w_ Radogoszczu i_ Szczecinie )_ ._
Tokens: 1_____ 2________ 3_ 4_______ 5 6_____ 7__ 8__________ 9________ 10 11________ 12___ 13__ 14 15_ 16 17_____ 18 19 20__ 21____ 22____ 23_ 24______ 25 26_ 27__ 28 29_________ 30 31________ 32 33

Chunks:
  TruePositive nam [17,17] = Arkonie (confidence=1.00)
  TruePositive nam [29,29] = Radogoszczu (confidence=0.99)
  TruePositive nam [31,31] = Szczecinie (confidence=0.99)

(ChunkerEvaluator) Sentence #61 from 00100632 from sent21

Text  : W Radogoszczu wróżba była ważna dopiero wtedy , gdy się udała po raz drugi ,_ a_ w_ Arkonie i_ Szczecinie musiała się udać trzy razy z_ rzędu ._
Tokens: 1 2__________ 3_____ 4___ 5____ 6______ 7____ 8 9__ 10_ 11___ 12 13_ 14___ 15 16 17 18_____ 19 20________ 21_____ 22_ 23__ 24__ 25__ 26 27___ 28

Chunks:
  TruePositive nam [2,2] = Radogoszczu (confidence=0.93)
  TruePositive nam [18,18] = Arkonie (confidence=0.99)
  TruePositive nam [20,20] = Szczecinie (confidence=0.99)

(ChunkerEvaluator) Sentence #62 from 00100632 from sent22

Text  : Za te natchnione wysiłki konia pobierała świątynia dziesięcinę z łupów wojennych ;_ za wróżenie prywatne musiała oczywiście zapłacić z_ własnej kieszeni osoba zapytująca o_ radę ._
Tokens: 1_ 2_ 3_________ 4______ 5____ 6________ 7________ 8__________ 9 10___ 11_______ 12 13 14______ 15______ 16_____ 17________ 18______ 19 20_____ 21______ 22___ 23________ 24 25__ 26

Chunks:

(ChunkerEvaluator) Sentence #63 from 00100632 from sent23

Text  : Trudno przypuścić , aby kapłani zostawili konia bez tresury i_ polegali tylko na bożym natchnieniu ,_ wypuszczając z_ ręki tak ważny instrument polityczny ._
Tokens: 1_____ 2_________ 3 4__ 5______ 6________ 7____ 8__ 9______ 10 11______ 12___ 13 14___ 15_________ 16 17__________ 18 19__ 20_ 21___ 22________ 23________ 24

Chunks:

(ChunkerEvaluator) Sentence #64 from 00100632 from sent24

Text  : To była , zdaje się , najwyższa klasa wróżb ,_ zwłaszcza zaś wyprawy morskie od nich zależały ._
Tokens: 1_ 2___ 3 4____ 5__ 6 7________ 8____ 9____ 10 11_______ 12_ 13_____ 14_____ 15 16__ 17______ 18

Chunks:

(ChunkerEvaluator) Sentence #65 from 00100632 from sent25

Text  : Oprócz tego wróżono z napotkanego zwierzęcia ( coś jak my z_ kota )_ ,_ liczono ,_ czy do pary wypadły kreski robione bezmyślnie na popiele rzucano jakieś drewienka z_ jednej strony białe ,_ z_ drugiej czarne (_ w_ Arkonie i_ Szczecinie )_ ,_ jakaś kombinacja zakopywania i_ rzucania losów wraz z_ wróżbą z_ konia była uprawiana w_ Radogoszczu ._
Tokens: 1_____ 2___ 3______ 4 5__________ 6_________ 7 8__ 9__ 10 11 12__ 13 14 15_____ 16 17_ 18 19__ 20_____ 21____ 22_____ 23________ 24 25_____ 26_____ 27____ 28_______ 29 30____ 31____ 32___ 33 34 35_____ 36____ 37 38 39_____ 40 41________ 42 43 44___ 45________ 46_________ 47 48______ 49___ 50__ 51 52____ 53 54___ 55__ 56_______ 57 58_________ 59

Chunks:
  TruePositive nam [39,39] = Arkonie (confidence=0.99)
  TruePositive nam [41,41] = Szczecinie (confidence=0.99)
  TruePositive nam [58,58] = Radogoszczu (confidence=1.00)

(ChunkerEvaluator) Sentence #66 from 00100632 from sent26

Text  : Za prognostyk służyło ubywanie , większe lub mniejsze , wina w_ pucharze trzymanym przez posąg Świętowita w_ Arkonie ,_ takim samym też prognostykiem urodzaju był kołacz składany mu w_ ofierze na święcie żniw ._
Tokens: 1_ 2_________ 3______ 4_______ 5 6______ 7__ 8_______ 9 10__ 11 12______ 13_______ 14___ 15___ 16________ 17 18_____ 19 20___ 21___ 22_ 23___________ 24______ 25_ 26____ 27______ 28 29 30_____ 31 32_____ 33__ 34

Chunks:
  TruePositive nam [16,16] = Świętowita (confidence=0.99)
  TruePositive nam [18,18] = Arkonie (confidence=1.00)

(ChunkerEvaluator) Sentence #67 from 00100632 from sent27

Text  : Jezioro Głomaczów złowróżbnie czasem zmieniało barwę , a z jeziora w_ Radogoszczu wychodził przed nadchodzącym nieszczęściem ogromny dzik ._
Tokens: 1______ 2________ 3__________ 4_____ 5________ 6____ 7 8 9 10_____ 11 12_________ 13_______ 14___ 15__________ 16___________ 17_____ 18__ 19

Chunks:
  TruePositive nam [12,12] = Radogoszczu (confidence=1.00)
  FalsePositive nam [1,2] = Jezioro Głomaczów (confidence=0.85) (incorrect boundry)
  FalseNegative nam [2,2] = Głomaczów

(ChunkerEvaluator) Sentence #68 from 00100632 from sent28

Text  : W innych stronach Słowiańszczyzny nie miały , zdaje się ,_ wróżby tak wielkiego znaczenia ,_ jakkolwiek było ich sporo ,_ sądząc po częstych wzmiankach w_ źródłach ._
Tokens: 1 2_____ 3_______ 4______________ 5__ 6____ 7 8____ 9__ 10 11____ 12_ 13_______ 14_______ 15 16________ 17__ 18_ 19___ 20 21____ 22 23______ 24________ 25 26______ 27

Chunks:
  TruePositive nam [4,4] = Słowiańszczyzny (confidence=0.99)

(ChunkerEvaluator) Sentence #69 from 00100632 from sent29

Text  : Wymienia się przeróżne wróżby na Rusi , w Czechach i_ w_ Polsce ._
Tokens: 1_______ 2__ 3________ 4_____ 5_ 6___ 7 8 9_______ 10 11 12____ 13

Chunks:
  TruePositive nam [6,6] = Rusi (confidence=1.00)
  TruePositive nam [9,9] = Czechach (confidence=1.00)
  TruePositive nam [12,12] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #70 from 00100632 from sent30

Text  : Synod wrocławski w XIV w . potępia wróżenie z ręki ,_ wosku i_ ołowiu ,_ ognia i_ wody ._
Tokens: 1____ 2_________ 3 4__ 5 6 7______ 8_______ 9 10__ 11 12___ 13 14____ 15 16___ 17 18__ 19

Chunks:
  FalsePositive nam [4,4] = XIV (confidence=0.60) (incorrect boundry)

(ChunkerEvaluator) Sentence #71 from 00100632 from sent31

Text  : O wiek późniejsze kazanie potępia wróżenie ze snu , z_ rzucanych losów ,_ z_ głosów i_ lotu ptaków ,_ z_ obserwacji dni ,_ z_ przyjścia i_ odejścia ludzi ,_ z_ ubywania soli ._
Tokens: 1 2___ 3_________ 4______ 5______ 6_______ 7_ 8__ 9 10 11_______ 12___ 13 14 15____ 16 17__ 18____ 19 20 21________ 22_ 23 24 25_______ 26 27______ 28___ 29 30 31______ 32__ 33

Chunks:

2017-06-14 20:24:20,869 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101170.xml
(ChunkerEvaluator) Sentence #72 from 00101170 from sent1

Text  : Bitwa pod Lublinem
Tokens: 1____ 2__ 3_______

Chunks:
  TruePositive nam [1,3] = Bitwa pod Lublinem (confidence=0.99)

(ChunkerEvaluator) Sentence #73 from 00101170 from sent2

Text  : Bitwa pod Lublinem – bitwa pomiędzy Polakami a Tatarami stoczona w_ lutym 1341 roku ,_ w_ okresie kampanii ruskiej Kazimierza Wielkiego z_ lat 1340 -_ 1341 ._
Tokens: 1____ 2__ 3_______ 4 5____ 6_______ 7_______ 8 9_______ 10______ 11 12___ 13__ 14__ 15 16 17_____ 18______ 19_____ 20________ 21_______ 22 23_ 24__ 25 26__ 27

Chunks:
  TruePositive nam [1,3] = Bitwa pod Lublinem (confidence=0.98)
  TruePositive nam [7,7] = Polakami (confidence=0.99)
  TruePositive nam [9,9] = Tatarami (confidence=0.81)
  TruePositive nam [20,21] = Kazimierza Wielkiego (confidence=0.99)

(ChunkerEvaluator) Sentence #74 from 00101170 from sent3

Text  : Przebieg bitwy
Tokens: 1_______ 2____

Chunks:

(ChunkerEvaluator) Sentence #75 from 00101170 from sent4

Text  : Kresowe położenie Lublina na pograniczu ówczesnego państwa powodowało częste najazdy Litwinów ,_ Jaćwingów ,_ Rusinów i_ Tatarów ._
Tokens: 1______ 2________ 3______ 4_ 5_________ 6_________ 7______ 8_________ 9_____ 10_____ 11______ 12 13_______ 14 15_____ 16 17_____ 18

Chunks:
  TruePositive nam [3,3] = Lublina (confidence=0.99)
  TruePositive nam [11,11] = Litwinów (confidence=0.99)
  TruePositive nam [13,13] = Jaćwingów (confidence=1.00)
  TruePositive nam [15,15] = Rusinów (confidence=1.00)
  TruePositive nam [17,17] = Tatarów (confidence=1.00)

(ChunkerEvaluator) Sentence #76 from 00101170 from sent5

Text  : Na przełomie stycznia i lutego 1341 roku , po nieudanej próbie sforsowania Wisły siły tatarskie wraz z_ posiłkami ruskimi ,_ które prowadził Dymitr Detko wycofały się w_ kierunku Lublina ._
Tokens: 1_ 2________ 3_______ 4 5_____ 6___ 7___ 8 9_ 10_______ 11____ 12_________ 13___ 14__ 15_______ 16__ 17 18_______ 19_____ 20 21___ 22_______ 23____ 24___ 25______ 26_ 27 28______ 29_____ 30

Chunks:
  TruePositive nam [13,13] = Wisły (confidence=0.98)
  TruePositive nam [23,24] = Dymitr Detko (confidence=1.00)
  TruePositive nam [29,29] = Lublina (confidence=1.00)

(ChunkerEvaluator) Sentence #77 from 00101170 from sent6

Text  : Najeźdźcy rozlali się po ziemi lubelskiej grabiąc i mordując ._
Tokens: 1________ 2______ 3__ 4_ 5____ 6_________ 7______ 8 9_______ 10

Chunks:
  FalseNegative nam [5,6] = ziemi lubelskiej

(ChunkerEvaluator) Sentence #78 from 00101170 from sent7

Text  : Oblegli także gród lubelski i puścili z dymem stojące obok niego ,_ nie ufortyfikowane miasto ._
Tokens: 1______ 2____ 3___ 4_______ 5 6______ 7 8____ 9______ 10__ 11___ 12 13_ 14____________ 15____ 16

Chunks:

(ChunkerEvaluator) Sentence #79 from 00101170 from sent8

Text  : Pomimo , ze gród miał wówczas tylko drewniane umocnienia załoga wraz z_ chroniącymi się w_ grodzie mieszczanami wytrzymała oblężenie ,_ które trwało od 8_ do 12 dni ._
Tokens: 1_____ 2 3_ 4___ 5___ 6______ 7____ 8________ 9_________ 10____ 11__ 12 13_________ 14_ 15 16_____ 17__________ 18________ 19_______ 20 21___ 22____ 23 24 25 26 27_ 28

Chunks:

(ChunkerEvaluator) Sentence #80 from 00101170 from sent9

Text  : Co do przyczyny odstąpienia Tatarów od Lublina istnieją dwie sprzeczne hipotezy ._
Tokens: 1_ 2_ 3________ 4__________ 5______ 6_ 7______ 8_______ 9___ 10_______ 11______ 12

Chunks:
  TruePositive nam [5,5] = Tatarów (confidence=1.00)
  TruePositive nam [7,7] = Lublina (confidence=0.99)

(ChunkerEvaluator) Sentence #81 from 00101170 from sent10

Text  : Według pierwszej Kazimierz Wielki stoczył bitwę z Tatarami we wsi nieopodal Lublina na prawym brzegu Bystrzycy ,_ rozbijając ich główne siły ._
Tokens: 1_____ 2________ 3________ 4_____ 5______ 6____ 7 8_______ 9_ 10_ 11_______ 12_____ 13 14____ 15____ 16_______ 17 18________ 19_ 20____ 21__ 22

Chunks:
  TruePositive nam [3,4] = Kazimierz Wielki (confidence=1.00)
  TruePositive nam [8,8] = Tatarami (confidence=1.00)
  TruePositive nam [12,12] = Lublina (confidence=1.00)
  TruePositive nam [16,16] = Bystrzycy (confidence=0.99)

(ChunkerEvaluator) Sentence #82 from 00101170 from sent11

Text  : Od legendarnej bitwy miała się wziąć późniejsza nazwa wsi ,_ a_ następnie dzielnicy Lublina ,_ Tatary ._
Tokens: 1_ 2__________ 3____ 4____ 5__ 6____ 7_________ 8____ 9__ 10 11 12_______ 13_______ 14_____ 15 16____ 17

Chunks:
  TruePositive nam [14,14] = Lublina (confidence=1.00)
  TruePositive nam [16,16] = Tatary (confidence=1.00)

(ChunkerEvaluator) Sentence #83 from 00101170 from sent12

Text  : Druga mówi o odstąpieniu Tatarów od Lublina po śmierci ich dowódcy ,_ który miał zginąć od strzały lubelskiego łucznika ._
Tokens: 1____ 2___ 3 4__________ 5______ 6_ 7______ 8_ 9______ 10_ 11_____ 12 13___ 14__ 15____ 16 17_____ 18_________ 19______ 20

Chunks:
  TruePositive nam [5,5] = Tatarów (confidence=1.00)
  TruePositive nam [7,7] = Lublina (confidence=0.98)

(ChunkerEvaluator) Sentence #84 from 00101170 from sent13

Text  : Kampania ruska Kazimierza Wielkiego z lat 1340 i 1341 zakończyła się kompromisem ._
Tokens: 1_______ 2____ 3_________ 4________ 5 6__ 7___ 8 9___ 10________ 11_ 12_________ 13

Chunks:
  TruePositive nam [3,4] = Kazimierza Wielkiego (confidence=0.99)

(ChunkerEvaluator) Sentence #85 from 00101170 from sent14

Text  : Przywódca bojarów ruskich Dymitr Detko uznał zwierzchnictwo króla Polskiego przyjmując tytuł namiestnika królewskiego Rusi ._
Tokens: 1________ 2______ 3______ 4_____ 5____ 6____ 7_____________ 8____ 9________ 10________ 11___ 12_________ 13__________ 14__ 15

Chunks:
  TruePositive nam [4,5] = Dymitr Detko (confidence=1.00)
  TruePositive nam [14,14] = Rusi (confidence=0.99)

(ChunkerEvaluator) Sentence #86 from 00101170 from sent15

Text  : Kazimierz Wielki wcielił bezpośrednio od korony ziemie sanocką i okolice Rzeszowa oraz poprzysiągł poszanowanie obyczajów zajętych ziem i_ wiary prawosławnej ._
Tokens: 1________ 2_____ 3______ 4___________ 5_ 6_____ 7_____ 8______ 9 10_____ 11______ 12__ 13_________ 14__________ 15_______ 16______ 17__ 18 19___ 20__________ 21

Chunks:
  TruePositive nam [1,2] = Kazimierz Wielki (confidence=1.00)
  TruePositive nam [11,11] = Rzeszowa (confidence=0.97)
  FalseNegative nam [7,8] = ziemie sanocką

2017-06-14 20:24:20,936 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101204.xml
(ChunkerEvaluator) Sentence #87 from 00101204 from sent1

Text  : Puchar Świata w Wioślarstwie
Tokens: 1_____ 2_____ 3 4___________

Chunks:
  FalsePositive nam [1,2] = Puchar Świata (confidence=1.00) (incorrect boundry)
  FalsePositive nam [4,4] = Wioślarstwie (confidence=0.96) (incorrect boundry)
  FalseNegative nam [1,4] = Puchar Świata w Wioślarstwie

(ChunkerEvaluator) Sentence #88 from 00101204 from sent2

Text  : Puchar Świata w Wioślarstwie – międzynarodowe zawody wioślarskie organizowane przez FISA ._
Tokens: 1_____ 2_____ 3 4___________ 5 6_____________ 7_____ 8__________ 9___________ 10___ 11__ 12

Chunks:
  TruePositive nam [11,11] = FISA (confidence=1.00)
  FalsePositive nam [1,2] = Puchar Świata (confidence=1.00) (incorrect boundry)
  FalsePositive nam [4,4] = Wioślarstwie (confidence=0.99) (incorrect boundry)
  FalseNegative nam [1,4] = Puchar Świata w Wioślarstwie

(ChunkerEvaluator) Sentence #89 from 00101204 from sent3

Text  : Pierwszy Puchar Świata w Wioślarstwie odbył się w 1997 r_ ._
Tokens: 1_______ 2_____ 3_____ 4 5___________ 6____ 7__ 8 9___ 10 11

Chunks:
  FalsePositive nam [2,3] = Puchar Świata (confidence=0.81) (incorrect boundry)
  FalsePositive nam [5,5] = Wioślarstwie (confidence=1.00) (incorrect boundry)
  FalseNegative nam [2,5] = Puchar Świata w Wioślarstwie

(ChunkerEvaluator) Sentence #90 from 00101204 from sent4

Text  : Zawody składają się z trzech regat ( wyjątkiem był Puchar Świata w_ 2001 roku ,_ który składał się z_ czterech regat )_ rozgrywanych wczesnym latem ._
Tokens: 1_____ 2_______ 3__ 4 5_____ 6____ 7 8________ 9__ 10____ 11____ 12 13__ 14__ 15 16___ 17_____ 18_ 19 20______ 21___ 22 23__________ 24______ 25___ 26

Chunks:
  TruePositive nam [10,11] = Puchar Świata (confidence=1.00)

(ChunkerEvaluator) Sentence #91 from 00101204 from sent5

Text  : Tylko raz Puchar Świata odbywał się poza Europą .
Tokens: 1____ 2__ 3_____ 4_____ 5______ 6__ 7___ 8_____ 9

Chunks:
  TruePositive nam [3,4] = Puchar Świata (confidence=1.00)
  TruePositive nam [8,8] = Europą (confidence=0.99)

(ChunkerEvaluator) Sentence #92 from 00101204 from sent6

Text  : Zasady zawodów
Tokens: 1_____ 2______

Chunks:

(ChunkerEvaluator) Sentence #93 from 00101204 from sent7

Text  : Na każdym etapie ( regatach ) Pucharu Świata , w_ każdej konkurencji rozgrywanej podczas Igrzysk Olimpijskich punktami nagradzana jest osada krajowa ,_ która osiągnęła najwyższe miejsce ._
Tokens: 1_ 2_____ 3_____ 4 5_______ 6 7______ 8_____ 9 10 11____ 12_________ 13_________ 14_____ 15_____ 16__________ 17______ 18________ 19__ 20___ 21_____ 22 23___ 24_______ 25_______ 26_____ 27

Chunks:
  TruePositive nam [7,8] = Pucharu Świata (confidence=1.00)
  TruePositive nam [15,16] = Igrzysk Olimpijskich (confidence=1.00)

(ChunkerEvaluator) Sentence #94 from 00101204 from sent8

Text  : Punkty otrzymuje siedem pierwszych osad .
Tokens: 1_____ 2________ 3_____ 4_________ 5___ 6

Chunks:

(ChunkerEvaluator) Sentence #95 from 00101204 from sent9

Text  : Pierwsze miejsce otrzymuje 8 punktów , drugie – 6 punktów ,_ a_ każde kolejne o_ punkt mniej ._
Tokens: 1_______ 2______ 3________ 4 5______ 6 7_____ 8 9 10_____ 11 12 13___ 14_____ 15 16___ 17___ 18

Chunks:

(ChunkerEvaluator) Sentence #96 from 00101204 from sent10

Text  : Lider danej konkurencji nosi żółtą kamizelkę .
Tokens: 1____ 2____ 3__________ 4___ 5____ 6________ 7

Chunks:

(ChunkerEvaluator) Sentence #97 from 00101204 from sent11

Text  : Mistrzem Pucharu Świata w Wioślarstwie zostaje krajowa osada , która zgromadziła najwięcej punktów z_ trzech regat dla danej konkurencji ._
Tokens: 1_______ 2______ 3_____ 4 5___________ 6______ 7______ 8____ 9 10___ 11_________ 12_______ 13_____ 14 15____ 16___ 17_ 18___ 19_________ 20

Chunks:
  FalsePositive nam [2,3] = Pucharu Świata (confidence=1.00) (incorrect boundry)
  FalsePositive nam [5,5] = Wioślarstwie (confidence=1.00) (incorrect boundry)
  FalseNegative nam [2,5] = Pucharu Świata w Wioślarstwie

(ChunkerEvaluator) Sentence #98 from 00101204 from sent12

Text  : Kraj , który zdobędzie najwięcej punktów we wszystkich konkurencjach wygrywa cały Puchar Świata w_ Wioślarstwie ._
Tokens: 1___ 2 3____ 4________ 5________ 6______ 7_ 8_________ 9____________ 10_____ 11__ 12____ 13____ 14 15__________ 16

Chunks:
  FalsePositive nam [1,1] = Kraj (confidence=0.64) (incorrect boundry)
  FalsePositive nam [12,13] = Puchar Świata (confidence=1.00) (incorrect boundry)
  FalsePositive nam [15,15] = Wioślarstwie (confidence=1.00) (incorrect boundry)
  FalseNegative nam [12,15] = Puchar Świata w Wioślarstwie

(ChunkerEvaluator) Sentence #99 from 00101204 from sent13

Text  : Rozgrywane konkurencje
Tokens: 1_________ 2__________

Chunks:

(ChunkerEvaluator) Sentence #100 from 00101204 from sent14

Text  : Regaty Pucharu Świata rozgrywają konkurencje , które znajdują się w_ programie Igrzysk Olimpijskich ._
Tokens: 1_____ 2______ 3_____ 4_________ 5__________ 6 7____ 8_______ 9__ 10 11_______ 12_____ 13__________ 14

Chunks:
  TruePositive nam [2,3] = Pucharu Świata (confidence=0.99)
  TruePositive nam [12,13] = Igrzysk Olimpijskich (confidence=1.00)

(ChunkerEvaluator) Sentence #101 from 00101204 from sent15

Text  : Dodatkowo podczas regat rozgrywane są również nieolimpijskie konkurencje .
Tokens: 1________ 2______ 3____ 4_________ 5_ 6______ 7_____________ 8__________ 9

Chunks:

(ChunkerEvaluator) Sentence #102 from 00101204 from sent16

Text  : Jednakże te konkurencje nie są klasyfikowane w Pucharze Świata ._
Tokens: 1_______ 2_ 3__________ 4__ 5_ 6____________ 7 8_______ 9_____ 10

Chunks:
  TruePositive nam [8,9] = Pucharze Świata (confidence=1.00)

2017-06-14 20:24:20,989 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 7 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101212.xml
(ChunkerEvaluator) Sentence #103 from 00101212 from sent1

Text  : Herb gminy Jastków
Tokens: 1___ 2____ 3______

Chunks:
  TruePositive nam [3,3] = Jastków (confidence=0.99)

(ChunkerEvaluator) Sentence #104 from 00101212 from sent2

Text  : Opis herbu
Tokens: 1___ 2____

Chunks:

(ChunkerEvaluator) Sentence #105 from 00101212 from sent3

Text  : Herbem Jastkowa , oraz gminy wiejskiej Jastków , jest srebrny orzełek legionowy ,_ umieszczony na panoplium ,_ składającym się z_ dwóch skrzyżowanych szabel ,_ skierowanych głowniami do góry ,_ a_ ostrzami na zewnątrz ,_ w_ polu dwudzielnym tarczy dzielonym w_ słup ,_ gdzie pole heraldyczne prawe -_ białe ,_ zaś lewe barwy czerwonej ._
Tokens: 1_____ 2_______ 3 4___ 5____ 6________ 7______ 8 9___ 10_____ 11_____ 12_______ 13 14_________ 15 16_______ 17 18_________ 19_ 20 21___ 22___________ 23____ 24 25__________ 26_______ 27 28__ 29 30 31______ 32 33______ 34 35 36__ 37_________ 38____ 39_______ 40 41__ 42 43___ 44__ 45_________ 46___ 47 48___ 49 50_ 51__ 52___ 53_______ 54

Chunks:
  TruePositive nam [2,2] = Jastkowa (confidence=0.99)
  TruePositive nam [7,7] = Jastków (confidence=0.98)

(ChunkerEvaluator) Sentence #106 from 00101212 from sent4

Text  : Pod orłem , dwa liście dębu barwy zielonej , połączone pośrodku żołędziem złotym ,_ ułożone w_ pas ._
Tokens: 1__ 2____ 3 4__ 5_____ 6___ 7____ 8_______ 9 10_______ 11______ 12_______ 13____ 14 15_____ 16 17_ 18

Chunks:

(ChunkerEvaluator) Sentence #107 from 00101212 from sent5

Text  : Symbolika herbu
Tokens: 1________ 2____

Chunks:

(ChunkerEvaluator) Sentence #108 from 00101212 from sent6

Text  : Herb Jastkowa , nawiązuje do symboliki legionowej i bitewnej ._
Tokens: 1___ 2_______ 3 4________ 5_ 6________ 7_________ 8 9_______ 10

Chunks:
  FalsePositive nam [1,2] = Herb Jastkowa (confidence=0.96) (incorrect boundry)
  FalseNegative nam [2,2] = Jastkowa

(ChunkerEvaluator) Sentence #109 from 00101212 from sent7

Text  : Symbolem bitewnym są dwie skrzyżowane szable , umieszczone jako "_ panoplia "_ pod orzełkiem legionowym ._
Tokens: 1_______ 2_______ 3_ 4___ 5__________ 6_____ 7 8__________ 9___ 10 11______ 12 13_ 14_______ 15________ 16

Chunks:

(ChunkerEvaluator) Sentence #110 from 00101212 from sent8

Text  : Na tym bowiem terenie , w dniach 31 VII -_ 3_ VIII 1915 stoczona była bitwa ,_ w_ której brali udział legioniści ,_ i_ tu też znajduje się cmentarz gdzie pochowani zostali żołnierze tej formacji ._
Tokens: 1_ 2__ 3_____ 4______ 5 6 7_____ 8_ 9__ 10 11 12__ 13__ 14______ 15__ 16___ 17 18 19____ 20___ 21____ 22________ 23 24 25 26_ 27______ 28_ 29______ 30___ 31_______ 32_____ 33_______ 34_ 35______ 36

Chunks:

(ChunkerEvaluator) Sentence #111 from 00101212 from sent9

Text  : Liście dębu umieszczone w dolnej części herbu , to wywodzący się z_ antycznej greckiej tradycji ,_ symbol nieśmiertelnej chwały ._
Tokens: 1_____ 2___ 3__________ 4 5_____ 6_____ 7____ 8 9_ 10_______ 11_ 12 13_______ 14______ 15______ 16 17____ 18____________ 19____ 20

Chunks:

(ChunkerEvaluator) Sentence #112 from 00101212 from sent10

Text  : W tym znaku , oddanej poległym legionistom za ich wierność ojczyźnie ._
Tokens: 1 2__ 3____ 4 5______ 6_______ 7__________ 8_ 9__ 10______ 11_______ 12

Chunks:

(ChunkerEvaluator) Sentence #113 from 00101212 from sent11

Text  : Symbolika herbu Jastkowa , nawiązuje ponadto do funkcjonującego na tym terenie w_ okresie II RP ._ ,_ 8_ Pułku Piechoty Legionów ,_ który we wrześniu 1939 roku ,_ w_ Jastkowie ,_ przeprowadzał koncentrację mobilizacyjną ,_ po tym gdy zostały zbombardowane koszary tej jednostki mieszczące się na Czechowie -_ (_ obecnie dzielnica Lublina )_ ._
Tokens: 1________ 2____ 3_______ 4 5________ 6______ 7_ 8______________ 9_ 10_ 11_____ 12 13_____ 14 15 16 17 18 19___ 20______ 21______ 22 23___ 24 25______ 26__ 27__ 28 29 30_______ 31 32___________ 33__________ 34___________ 35 36 37_ 38_ 39_____ 40___________ 41_____ 42_ 43_______ 44________ 45_ 46 47_______ 48 49 50_____ 51_______ 52_____ 53 54

Chunks:
  TruePositive nam [3,3] = Jastkowa (confidence=1.00)
  TruePositive nam [14,15] = II RP (confidence=0.94)
  TruePositive nam [18,21] = 8 Pułku Piechoty Legionów (confidence=1.00)
  TruePositive nam [30,30] = Jastkowie (confidence=1.00)
  TruePositive nam [47,47] = Czechowie (confidence=0.99)
  TruePositive nam [52,52] = Lublina (confidence=1.00)

2017-06-14 20:24:21,050 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 8 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101233.xml
(ChunkerEvaluator) Sentence #114 from 00101233 from sent1

Text  : Aleksander Rymkiewicz
Tokens: 1_________ 2_________

Chunks:
  TruePositive nam [1,2] = Aleksander Rymkiewicz (confidence=1.00)

(ChunkerEvaluator) Sentence #115 from 00101233 from sent2

Text  : Aleksander Rymkiewicz ( ur . 13 kwietnia 1913 w Wilnie -_ zm ._ 26 września 1983 w_ Iławie )_ -_ polski poeta ._
Tokens: 1_________ 2_________ 3 4_ 5 6_ 7_______ 8___ 9 10____ 11 12 13 14 15______ 16__ 17 18____ 19 20 21____ 22___ 23

Chunks:
  TruePositive nam [1,2] = Aleksander Rymkiewicz (confidence=1.00)
  TruePositive nam [10,10] = Wilnie (confidence=1.00)
  TruePositive nam [18,18] = Iławie (confidence=1.00)

(ChunkerEvaluator) Sentence #116 from 00101233 from sent3

Text  : Ukończył prawo na uniwersytecie w Wilnie .
Tokens: 1_______ 2____ 3_ 4____________ 5 6_____ 7

Chunks:
  TruePositive nam [6,6] = Wilnie (confidence=1.00)

(ChunkerEvaluator) Sentence #117 from 00101233 from sent4

Text  : W latach 1933 - 1934 związany z grupą literacką Żagary ._
Tokens: 1 2_____ 3___ 4 5___ 6_______ 7 8____ 9________ 10____ 11

Chunks:
  TruePositive nam [10,10] = Żagary (confidence=0.90)

(ChunkerEvaluator) Sentence #118 from 00101233 from sent5

Text  : Zadebiutował w 1933 roku w wileńskim dzienniku Słowo .
Tokens: 1___________ 2 3___ 4___ 5 6________ 7________ 8____ 9

Chunks:
  TruePositive nam [8,8] = Słowo (confidence=0.73)

(ChunkerEvaluator) Sentence #119 from 00101233 from sent6

Text  : We wczesnej twórczości poety dominują motywy wizyjno - fantastyczne i_ estetyzujące (_ poemat "_ Tropiciel "_ 1936 )_ ._
Tokens: 1_ 2_______ 3_________ 4____ 5_______ 6_____ 7______ 8 9___________ 10 11__________ 12 13____ 14 15_______ 16 17__ 18 19

Chunks:
  FalseNegative nam [15,15] = Tropiciel

(ChunkerEvaluator) Sentence #120 from 00101233 from sent7

Text  : Po wojnie w poezji Rymkiewicza pojawia się tematyka społeczno -_ patriotyczna (_ "_ Z_ narodem "_ 1947 )_ ,_ refleksje nad związkami człowieka z_ naturą (_ "_ Promień dla artysty "_ 1965 )_ oraz rodzinnym krajobrazem (_ "_ Polskie drzewa "_ 1972 )_ ._
Tokens: 1_ 2_____ 3 4_____ 5__________ 6______ 7__ 8_______ 9________ 10 11__________ 12 13 14 15_____ 16 17__ 18 19 20_______ 21_ 22_______ 23_______ 24 25____ 26 27 28_____ 29_ 30_____ 31 32__ 33 34__ 35_______ 36_________ 37 38 39_____ 40____ 41 42__ 43 44

Chunks:
  TruePositive nam [5,5] = Rymkiewicza (confidence=1.00)
  TruePositive nam [28,30] = Promień dla artysty (confidence=0.96)
  FalseNegative nam [14,15] = Z narodem
  FalseNegative nam [39,40] = Polskie drzewa

(ChunkerEvaluator) Sentence #121 from 00101233 from sent8

Text  : Rymkiewicz jest też autorem wielu utworów dla dzieci ( "_ Przygody Gucia Pingwina "_ 1950 ,_ "_ Wybór poezji "_ 1974 )_ ._
Tokens: 1_________ 2___ 3__ 4______ 5____ 6______ 7__ 8_____ 9 10 11______ 12___ 13______ 14 15__ 16 17 18___ 19____ 20 21__ 22 23

Chunks:
  TruePositive nam [11,13] = Przygody Gucia Pingwina (confidence=0.97)
  TruePositive nam [18,19] = Wybór poezji (confidence=0.76)
  FalseNegative nam [1,1] = Rymkiewicz

2017-06-14 20:24:21,085 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 9 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101248.xml
(ChunkerEvaluator) Sentence #122 from 00101248 from sent1

Text  : Lidia Ciołkosz
Tokens: 1____ 2_______

Chunks:
  TruePositive nam [1,2] = Lidia Ciołkosz (confidence=1.00)

(ChunkerEvaluator) Sentence #123 from 00101248 from sent2

Text  : Lidia Ciołkoszowa z domu Kahan ( ur . 24 czerwca 1902 w_ Tomaszowie Mazowieckim ,_ zm ._ 9_ czerwca 2002 w_ Londynie )_ –_ działaczka socjalistyczna ,_ publicystka ,_ historyczka ,_ żona Adama Ciołkosza ._
Tokens: 1____ 2__________ 3 4___ 5____ 6 7_ 8 9_ 10_____ 11__ 12 13________ 14_________ 15 16 17 18 19_____ 20__ 21 22______ 23 24 25________ 26____________ 27 28_________ 29 30_________ 31 32__ 33___ 34_______ 35

Chunks:
  TruePositive nam [1,5] = Lidia Ciołkoszowa z domu Kahan (confidence=1.00)
  TruePositive nam [13,14] = Tomaszowie Mazowieckim (confidence=1.00)
  TruePositive nam [22,22] = Londynie (confidence=1.00)
  TruePositive nam [33,34] = Adama Ciołkosza (confidence=1.00)

(ChunkerEvaluator) Sentence #124 from 00101248 from sent3

Text  : Życiorys
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #125 from 00101248 from sent4

Text  : Na Uniwersytecie Jagiellońskim w Krakowie ukończyła polonistykę i historię oraz Studium Pedagogiczne z_ tytułem doktora w_ 1925 ._
Tokens: 1_ 2____________ 3____________ 4 5_______ 6________ 7__________ 8 9_______ 10__ 11_____ 12__________ 13 14_____ 15_____ 16 17__ 18

Chunks:
  TruePositive nam [2,3] = Uniwersytecie Jagiellońskim (confidence=1.00)
  TruePositive nam [5,5] = Krakowie (confidence=1.00)
  TruePositive nam [11,12] = Studium Pedagogiczne (confidence=1.00)

(ChunkerEvaluator) Sentence #126 from 00101248 from sent5

Text  : W czasie studiów w Krakowie poznała przyszłego męża , Adama Ciołkosza ._
Tokens: 1 2_____ 3______ 4 5_______ 6______ 7_________ 8___ 9 10___ 11_______ 12

Chunks:
  TruePositive nam [5,5] = Krakowie (confidence=1.00)
  TruePositive nam [10,11] = Adama Ciołkosza (confidence=1.00)

(ChunkerEvaluator) Sentence #127 from 00101248 from sent6

Text  : W czasie wojny polsko - bolszewickiej pracowała jako wolontariuszka w_ biurze wojskowym ._
Tokens: 1 2_____ 3____ 4_____ 5 6____________ 7________ 8___ 9_____________ 10 11____ 12_______ 13

Chunks:
  FalseNegative nam [3,6] = wojny polsko - bolszewickiej

(ChunkerEvaluator) Sentence #128 from 00101248 from sent7

Text  : Od 1920 zaangażowana w działalność Polskiej Partii Socjalistycznej .
Tokens: 1_ 2___ 3___________ 4 5__________ 6_______ 7_____ 8______________ 9

Chunks:
  TruePositive nam [6,8] = Polskiej Partii Socjalistycznej (confidence=1.00)

(ChunkerEvaluator) Sentence #129 from 00101248 from sent8

Text  : Była działaczką polityczną i społeczną , ostatnim żyjącym członkiem przedwojennej krajowej Rady Naczelnej PPS ._
Tokens: 1___ 2_________ 3_________ 4 5________ 6 7_______ 8______ 9________ 10___________ 11______ 12__ 13_______ 14_ 15

Chunks:
  FalsePositive nam [11,14] = krajowej Rady Naczelnej PPS (confidence=0.81) (incorrect boundry)
  FalseNegative nam [12,13] = Rady Naczelnej
  FalseNegative nam [14,14] = PPS

(ChunkerEvaluator) Sentence #130 from 00101248 from sent9

Text  : Do wybuchu II wojny światowej pracowała jako bibliotekarka i wykładowczyni Towarzystwa Uniwersytetu Robotniczego (_ TUR )_ ,_ wychowawczyni i_ organizatorka kolonii letnich oraz świetlic dla dzieci robotniczych ._
Tokens: 1_ 2______ 3_ 4____ 5________ 6________ 7___ 8____________ 9 10___________ 11_________ 12__________ 13__________ 14 15_ 16 17 18___________ 19 20___________ 21_____ 22_____ 23__ 24______ 25_ 26____ 27__________ 28

Chunks:
  TruePositive nam [3,5] = II wojny światowej (confidence=1.00)
  TruePositive nam [11,13] = Towarzystwa Uniwersytetu Robotniczego (confidence=0.95)
  TruePositive nam [15,15] = TUR (confidence=0.90)

(ChunkerEvaluator) Sentence #131 from 00101248 from sent10

Text  : Od 1934 wybierana do Rady Naczelnej PPS .
Tokens: 1_ 2___ 3________ 4_ 5___ 6________ 7__ 8

Chunks:
  FalsePositive nam [5,7] = Rady Naczelnej PPS (confidence=0.98) (incorrect boundry)
  FalseNegative nam [5,6] = Rady Naczelnej
  FalseNegative nam [7,7] = PPS

(ChunkerEvaluator) Sentence #132 from 00101248 from sent11

Text  : W 1939 przez Litwę i Szwecję opuściła z rodziną Polskę i_ udała się przez Rumunię i_ Francję do Londynu ,_ gdzie w_ okresie (_ 1940 –_ 1948 )_ była członkiem Komitetu Zagranicznego PPS ._
Tokens: 1 2___ 3____ 4____ 5 6______ 7_______ 8 9______ 10____ 11 12___ 13_ 14___ 15_____ 16 17_____ 18 19_____ 20 21___ 22 23_____ 24 25__ 26 27__ 28 29__ 30_______ 31______ 32___________ 33_ 34

Chunks:
  TruePositive nam [4,4] = Litwę (confidence=1.00)
  TruePositive nam [6,6] = Szwecję (confidence=1.00)
  TruePositive nam [10,10] = Polskę (confidence=1.00)
  TruePositive nam [15,15] = Rumunię (confidence=1.00)
  TruePositive nam [17,17] = Francję (confidence=1.00)
  TruePositive nam [19,19] = Londynu (confidence=1.00)
  FalsePositive nam [31,33] = Komitetu Zagranicznego PPS (confidence=1.00) (incorrect boundry)
  FalseNegative nam [31,32] = Komitetu Zagranicznego
  FalseNegative nam [33,33] = PPS

(ChunkerEvaluator) Sentence #133 from 00101248 from sent12

Text  : W okresie emigracyjnym , pełniła funkcję członka Centralnej Rady PPS (_ 1948 –_ 1960 ,_ w_ tym w_ okresie 1957 –_ 1960 członka Centralnego Komitetu Zagranicznego PPS )_ ._
Tokens: 1 2______ 3___________ 4 5______ 6______ 7______ 8_________ 9___ 10_ 11 12__ 13 14__ 15 16 17_ 18 19_____ 20__ 21 22__ 23_____ 24_________ 25______ 26___________ 27_ 28 29

Chunks:
  FalsePositive nam [8,10] = Centralnej Rady PPS (confidence=1.00) (incorrect boundry)
  FalsePositive nam [24,27] = Centralnego Komitetu Zagranicznego PPS (confidence=0.99) (incorrect boundry)
  FalseNegative nam [8,9] = Centralnej Rady
  FalseNegative nam [10,10] = PPS
  FalseNegative nam [24,26] = Centralnego Komitetu Zagranicznego
  FalseNegative nam [27,27] = PPS

(ChunkerEvaluator) Sentence #134 from 00101248 from sent13

Text  : Po rozłamie w PPS na emigracji , wraz z mężem Adamem Ciołkoszem działaczka Centralnego Komitetu PPS ._
Tokens: 1_ 2_______ 3 4__ 5_ 6________ 7 8___ 9 10___ 11____ 12________ 13________ 14_________ 15______ 16_ 17

Chunks:
  TruePositive nam [4,4] = PPS (confidence=1.00)
  TruePositive nam [11,12] = Adamem Ciołkoszem (confidence=1.00)
  FalsePositive nam [14,16] = Centralnego Komitetu PPS (confidence=0.99) (incorrect boundry)
  FalseNegative nam [14,15] = Centralnego Komitetu
  FalseNegative nam [16,16] = PPS

(ChunkerEvaluator) Sentence #135 from 00101248 from sent14

Text  : Lider struktur PPS na emigracji również po śmierci męża ._
Tokens: 1____ 2_______ 3__ 4_ 5________ 6______ 7_ 8______ 9___ 10

Chunks:
  TruePositive nam [3,3] = PPS (confidence=0.91)

(ChunkerEvaluator) Sentence #136 from 00101248 from sent15

Text  : Po połączeniu emigracyjnych struktur na Scaleniowym Zjeździe PPS w listopadzie 1987 w_ Bernried ,_ została wybrana przewodniczącą Centralnej Rady Partyjnej ,_ a_ na XXV Zjeździe PPS odbytym w_ listopadzie 1990 w_ Warszawie –_ jako ostatni żyjący członek władz przedwojennej PPS –_ została wybrana dożywotnio Honorową Przewodniczącą Partii ._
Tokens: 1_ 2_________ 3____________ 4_______ 5_ 6__________ 7_______ 8__ 9 10_________ 11__ 12 13______ 14 15_____ 16_____ 17____________ 18________ 19__ 20_______ 21 22 23 24_ 25______ 26_ 27_____ 28 29_________ 30__ 31 32_______ 33 34__ 35_____ 36____ 37_____ 38___ 39___________ 40_ 41 42_____ 43_____ 44________ 45______ 46____________ 47____ 48

Chunks:
  TruePositive nam [6,7] = Scaleniowym Zjeździe (confidence=0.99)
  TruePositive nam [8,8] = PPS (confidence=0.82)
  TruePositive nam [13,13] = Bernried (confidence=1.00)
  TruePositive nam [18,20] = Centralnej Rady Partyjnej (confidence=1.00)
  TruePositive nam [24,25] = XXV Zjeździe (confidence=0.99)
  TruePositive nam [26,26] = PPS (confidence=0.56)
  TruePositive nam [32,32] = Warszawie (confidence=1.00)
  TruePositive nam [40,40] = PPS (confidence=0.99)
  FalsePositive nam [46,47] = Przewodniczącą Partii (confidence=0.65) (incorrect boundry)

(ChunkerEvaluator) Sentence #137 from 00101248 from sent16

Text  : Zdecydowana przeciwniczka wchodzenia w koalicje z partiami postkomunistycznymi .
Tokens: 1__________ 2____________ 3_________ 4 5_______ 6 7_______ 8__________________ 9

Chunks:

(ChunkerEvaluator) Sentence #138 from 00101248 from sent17

Text  : Lidia Ciołkoszowa była autorką wielu artykułów , broszur i audycji radiowych z_ historii polskiego ruchu robotniczego ,_ nadawanych przez Rozgłośnię Polską Radia Wolna Europa ._
Tokens: 1____ 2__________ 3___ 4______ 5____ 6________ 7 8______ 9 10_____ 11_______ 12 13______ 14_______ 15___ 16__________ 17 18________ 19___ 20________ 21____ 22___ 23___ 24____ 25

Chunks:
  TruePositive nam [1,2] = Lidia Ciołkoszowa (confidence=1.00)
  TruePositive nam [20,24] = Rozgłośnię Polską Radia Wolna Europa (confidence=1.00)

(ChunkerEvaluator) Sentence #139 from 00101248 from sent18

Text  : W 1952 opublikowała książkę Generał Walery Wróblewski , w 1965 książkę Publicystyka polska na emigracji w_ latach 1940 –_ 1960 i_ wspólnie z_ mężem Adamem najważniejsze ich dzieło –_ Zarys dziejów socjalizmu polskiego (_ t_ ._ 1_ Londyn 1966 ,_ t_ ._ 2_ Londyn 1972 )_ ._
Tokens: 1 2___ 3___________ 4______ 5______ 6_____ 7_________ 8 9 10__ 11_____ 12__________ 13____ 14 15_______ 16 17____ 18__ 19 20__ 21 22______ 23 24___ 25____ 26___________ 27_ 28____ 29 30___ 31_____ 32________ 33_______ 34 35 36 37 38____ 39__ 40 41 42 43 44____ 45__ 46 47

Chunks:
  TruePositive nam [5,7] = Generał Walery Wróblewski (confidence=0.90)
  TruePositive nam [25,25] = Adamem (confidence=0.98)
  TruePositive nam [30,33] = Zarys dziejów socjalizmu polskiego (confidence=0.80)
  FalsePositive nam [12,12] = Publicystyka (confidence=0.77) (incorrect boundry)
  FalseNegative nam [12,20] = Publicystyka polska na emigracji w latach 1940 – 1960
  FalseNegative nam [38,38] = Londyn
  FalseNegative nam [44,44] = Londyn

(ChunkerEvaluator) Sentence #140 from 00101248 from sent19

Text  : Opracowała również wydanie książki Aleksandra Wata " Mój wiek "_ ._
Tokens: 1_________ 2______ 3______ 4______ 5_________ 6___ 7 8__ 9___ 10 11

Chunks:
  FalsePositive nam [5,9] = Aleksandra Wata " Mój wiek (confidence=1.00) (incorrect boundry)
  FalseNegative nam [5,6] = Aleksandra Wata
  FalseNegative nam [8,9] = Mój wiek

(ChunkerEvaluator) Sentence #141 from 00101248 from sent20

Text  : Została wyróżniona nagrodami literackimi paryskiej Kultury ( Paryż , 1967 )_ ,_ Stowarzyszenia Polskich Kombatantów (_ Londyn ,_ 1972 )_ oraz fundacji im ._ Jurzykowskiego (_ Nowy Jork ,_ 1973 )_ oraz orderem Polonia Restituta ._
Tokens: 1______ 2_________ 3________ 4__________ 5________ 6______ 7 8____ 9 10__ 11 12 13____________ 14______ 15_________ 16 17____ 18 19__ 20 21__ 22______ 23 24 25____________ 26 27__ 28__ 29 30__ 31 32__ 33_____ 34_____ 35_______ 36

Chunks:
  TruePositive nam [6,6] = Kultury (confidence=0.96)
  TruePositive nam [8,8] = Paryż (confidence=0.93)
  TruePositive nam [13,15] = Stowarzyszenia Polskich Kombatantów (confidence=1.00)
  TruePositive nam [17,17] = Londyn (confidence=0.99)
  TruePositive nam [27,28] = Nowy Jork (confidence=1.00)
  TruePositive nam [34,35] = Polonia Restituta (confidence=1.00)
  FalsePositive nam [25,25] = Jurzykowskiego (confidence=0.65) (incorrect boundry)
  FalseNegative nam [22,25] = fundacji im . Jurzykowskiego

(ChunkerEvaluator) Sentence #142 from 00101248 from sent21

Text  : Zmarła w Londynie 9 czerwca 2002 .
Tokens: 1_____ 2 3_______ 4 5______ 6___ 7

Chunks:
  TruePositive nam [3,3] = Londynie (confidence=0.99)

2017-06-14 20:24:21,200 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 10 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101257.xml
(ChunkerEvaluator) Sentence #143 from 00101257 from sent1

Text  : Droga krajowa nr 44
Tokens: 1____ 2______ 3_ 4_

Chunks:
  TruePositive nam [1,4] = Droga krajowa nr 44 (confidence=0.95)

(ChunkerEvaluator) Sentence #144 from 00101257 from sent2

Text  : Droga krajowa nr 44 ( DK44 ) - droga krajowa przebiegająca przez województwo śląskie oraz małopolskie ._
Tokens: 1____ 2______ 3_ 4_ 5 6___ 7 8 9____ 10_____ 11___________ 12___ 13_________ 14_____ 15__ 16_________ 17

Chunks:
  TruePositive nam [1,4] = Droga krajowa nr 44 (confidence=0.98)
  TruePositive nam [6,6] = DK44 (confidence=1.00)
  TruePositive nam [14,14] = śląskie (confidence=0.69)
  FalseNegative nam [16,16] = małopolskie

(ChunkerEvaluator) Sentence #145 from 00101257 from sent3

Text  : Jest jedną z czterech dróg , obok A4 , DK79 ,_ DK94 ,_ łączących Górny Śląsk z_ Krakowem ,_ a_ także najbardziej wysuniętą na południe spośród wymienionych ._
Tokens: 1___ 2____ 3 4_______ 5___ 6 7___ 8_ 9 10__ 11 12__ 13 14_______ 15___ 16___ 17 18______ 19 20 21___ 22_________ 23_______ 24 25______ 26_____ 27__________ 28

Chunks:
  TruePositive nam [8,8] = A4 (confidence=0.98)
  TruePositive nam [10,10] = DK79 (confidence=0.66)
  TruePositive nam [15,16] = Górny Śląsk (confidence=1.00)
  TruePositive nam [18,18] = Krakowem (confidence=0.99)
  FalseNegative nam [12,12] = DK94

(ChunkerEvaluator) Sentence #146 from 00101257 from sent4

Text  : Omija konurbację katowicką od strony południowej , łącząc na jej terenie Gliwice z_ Mikołowem ,_ Tychami ,_ Bieruniem ,_ Oświęcimiem i_ Krakowem ._
Tokens: 1____ 2_________ 3________ 4_ 5_____ 6__________ 7 8_____ 9_ 10_ 11_____ 12_____ 13 14_______ 15 16_____ 17 18_______ 19 20_________ 21 22______ 23

Chunks:
  TruePositive nam [12,12] = Gliwice (confidence=1.00)
  TruePositive nam [14,14] = Mikołowem (confidence=0.87)
  TruePositive nam [16,16] = Tychami (confidence=0.99)
  TruePositive nam [18,18] = Bieruniem (confidence=1.00)
  TruePositive nam [20,20] = Oświęcimiem (confidence=0.99)
  TruePositive nam [22,22] = Krakowem (confidence=1.00)
  FalseNegative nam [2,3] = konurbację katowicką

(ChunkerEvaluator) Sentence #147 from 00101257 from sent5

Text  : Odgrywa szczególnie ważną rolę dla miast leżących w zachodniej Małopolsce ,_ ponieważ łączy tamtejsze miasta z_ Górnośląskim Okręgiem Przemysłowym ._
Tokens: 1______ 2__________ 3____ 4___ 5__ 6____ 7_______ 8 9_________ 10________ 11 12______ 13___ 14_______ 15____ 16 17__________ 18______ 19__________ 20

Chunks:
  TruePositive nam [10,10] = Małopolsce (confidence=0.98)
  TruePositive nam [17,19] = Górnośląskim Okręgiem Przemysłowym (confidence=1.00)

(ChunkerEvaluator) Sentence #148 from 00101257 from sent6

Text  : Obszar , który przecina DK44 , jest wybitnie uprzemysłowiony ,_ a_ większość miejscowości leżących na trasie DK44 to spore ,_ ponad tysięczne wsie ._
Tokens: 1_____ 2 3____ 4_______ 5___ 6 7___ 8_______ 9______________ 10 11 12_______ 13__________ 14______ 15 16____ 17__ 18 19___ 20 21___ 22_______ 23__ 24

Chunks:
  TruePositive nam [5,5] = DK44 (confidence=0.82)
  TruePositive nam [17,17] = DK44 (confidence=1.00)

(ChunkerEvaluator) Sentence #149 from 00101257 from sent7

Text  : Przemysł , gospodarka , restauracje i handel przy DK44
Tokens: 1_______ 2 3_________ 4 5__________ 6 7_____ 8___ 9___

Chunks:
  TruePositive nam [9,9] = DK44 (confidence=0.81)

(ChunkerEvaluator) Sentence #150 from 00101257 from sent8

Text  : W Tychach przy DK44 położone są takie firmy jak :_ Kompania Piwowarska (_ Tyskie Browary Książęce )_ ,_ fabryka Fiat Auto Poland czy też centrum dystrybucyjne hipermarketów Kaufland ._
Tokens: 1 2______ 3___ 4___ 5_______ 6_ 7____ 8____ 9__ 10 11______ 12________ 13 14____ 15_____ 16______ 17 18 19_____ 20__ 21__ 22____ 23_ 24_ 25_____ 26___________ 27___________ 28______ 29

Chunks:
  TruePositive nam [2,2] = Tychach (confidence=0.81)
  TruePositive nam [4,4] = DK44 (confidence=0.86)
  TruePositive nam [11,12] = Kompania Piwowarska (confidence=0.98)
  TruePositive nam [14,16] = Tyskie Browary Książęce (confidence=1.00)
  TruePositive nam [20,22] = Fiat Auto Poland (confidence=1.00)
  TruePositive nam [28,28] = Kaufland (confidence=0.84)

(ChunkerEvaluator) Sentence #151 from 00101257 from sent9

Text  : Znajdują się tam również mikołowski hipermarket Auchan , McDonald's w_ Mikołowie i_ w_ Tychach ,_ KFC w_ Tychach oraz w_ pobliżu Śląska Giełda Kwiatowa (_ także Tychy )_ ._
Tokens: 1_______ 2__ 3__ 4______ 5_________ 6__________ 7_____ 8 9_________ 10 11_______ 12 13 14_____ 15 16_ 17 18_____ 19__ 20 21_____ 22____ 23____ 24______ 25 26___ 27___ 28 29

Chunks:
  TruePositive nam [7,7] = Auchan (confidence=0.94)
  TruePositive nam [9,9] = McDonald's (confidence=0.99)
  TruePositive nam [11,11] = Mikołowie (confidence=0.99)
  TruePositive nam [14,14] = Tychach (confidence=1.00)
  TruePositive nam [16,16] = KFC (confidence=0.97)
  TruePositive nam [18,18] = Tychach (confidence=1.00)
  TruePositive nam [22,24] = Śląska Giełda Kwiatowa (confidence=1.00)
  TruePositive nam [27,27] = Tychy (confidence=0.99)

(ChunkerEvaluator) Sentence #152 from 00101257 from sent10

Text  : Węzły drogowe i skrzyżowania z ważnymi szlakami komunikacyjnymi
Tokens: 1____ 2______ 3 4___________ 5 6______ 7_______ 8______________

Chunks:

(ChunkerEvaluator) Sentence #153 from 00101257 from sent11

Text  : Obecnie trasę tę przecina autostrada A1 , autostrada A4 ,_ droga krajowa nr 1_ (_ DK1 )_ ,_ droga krajowa nr 81 (_ DK81 )_ i_ droga krajowa nr 28 (_ DK28 )_ ._
Tokens: 1______ 2____ 3_ 4_______ 5_________ 6_ 7 8_________ 9_ 10 11___ 12_____ 13 14 15 16_ 17 18 19___ 20_____ 21 22 23 24__ 25 26 27___ 28_____ 29 30 31 32__ 33 34

Chunks:
  TruePositive nam [6,6] = A1 (confidence=0.82)
  TruePositive nam [9,9] = A4 (confidence=0.87)
  TruePositive nam [11,14] = droga krajowa nr 1 (confidence=0.99)
  TruePositive nam [19,22] = droga krajowa nr 81 (confidence=0.97)
  TruePositive nam [27,30] = droga krajowa nr 28 (confidence=0.97)
  FalseNegative nam [16,16] = DK1
  FalseNegative nam [24,24] = DK81
  FalseNegative nam [32,32] = DK28

(ChunkerEvaluator) Sentence #154 from 00101257 from sent12

Text  : Oprócz tego drogę tę przecina 11 dróg wojewódzkich , a_ w_ przyszłości trasę tę ma przeciąć droga ekspresowa S1 (_ Bieruń i_ Oświęcim )_ ._
Tokens: 1_____ 2___ 3____ 4_ 5_______ 6_ 7___ 8___________ 9 10 11 12_________ 13___ 14 15 16______ 17___ 18________ 19 20 21____ 22 23______ 24 25

Chunks:
  TruePositive nam [19,19] = S1 (confidence=0.59)
  TruePositive nam [21,21] = Bieruń (confidence=0.93)
  TruePositive nam [23,23] = Oświęcim (confidence=0.96)

(ChunkerEvaluator) Sentence #155 from 00101257 from sent13

Text  : Szerokość trasy
Tokens: 1________ 2____

Chunks:

(ChunkerEvaluator) Sentence #156 from 00101257 from sent14

Text  : Trasa posiada dwie jezdnie w Mikołowie ( odcinek wspólny z_ drogą krajową nr 81 oraz od węzła z_ DK81 do granicy Mikołowa z_ Tychami )_ oraz w_ Tychach (_ na wiadukcie w_ Tychach -_ Wilkowyjach nad torami kolejowymi ,_ na węźle z_ drogą krajową nr 1_ i_ obwodnica Bierunia Starego wybudowana dla celów fabryki Fiata )_ ._
Tokens: 1____ 2______ 3___ 4______ 5 6________ 7 8______ 9______ 10 11___ 12_____ 13 14 15__ 16 17___ 18 19__ 20 21_____ 22______ 23 24_____ 25 26__ 27 28_____ 29 30 31_______ 32 33_____ 34 35_________ 36_ 37____ 38________ 39 40 41___ 42 43___ 44_____ 45 46 47 48_______ 49______ 50_____ 51________ 52_ 53___ 54_____ 55___ 56 57

Chunks:
  TruePositive nam [6,6] = Mikołowie (confidence=1.00)
  TruePositive nam [11,14] = drogą krajową nr 81 (confidence=0.93)
  TruePositive nam [28,28] = Tychach (confidence=1.00)
  TruePositive nam [43,46] = drogą krajową nr 1 (confidence=0.93)
  TruePositive nam [49,50] = Bierunia Starego (confidence=0.99)
  TruePositive nam [55,55] = Fiata (confidence=1.00)
  FalsePositive nam [22,24] = Mikołowa z Tychami (confidence=0.99) (incorrect boundry)
  FalsePositive nam [33,33] = Tychach (confidence=1.00) (incorrect boundry)
  FalsePositive nam [35,35] = Wilkowyjach (confidence=0.47) (incorrect boundry)
  FalseNegative nam [19,19] = DK81
  FalseNegative nam [22,22] = Mikołowa
  FalseNegative nam [24,24] = Tychami
  FalseNegative nam [33,35] = Tychach - Wilkowyjach

(ChunkerEvaluator) Sentence #157 from 00101257 from sent15

Text  : Na pozostałych odcinkach jest jednojezdniowa o parametrach 1x1 , 1x2 oraz 1x3 ,_ a_ na mikołowskim odcinku DK44 znajduje się kilka niebezpiecznych zakrętów ._
Tokens: 1_ 2__________ 3________ 4___ 5_____________ 6 7__________ 8__ 9 10_ 11__ 12_ 13 14 15 16_________ 17_____ 18__ 19______ 20_ 21___ 22_____________ 23______ 24

Chunks:
  TruePositive nam [18,18] = DK44 (confidence=1.00)

(ChunkerEvaluator) Sentence #158 from 00101257 from sent16

Text  : DK44 jako obwodnica
Tokens: 1___ 2___ 3________

Chunks:
  TruePositive nam [1,1] = DK44 (confidence=1.00)

(ChunkerEvaluator) Sentence #159 from 00101257 from sent17

Text  : Droga krajowa nr 44 jest obwodnicą dla miast Mikołów i_ Bieruń Stary ._
Tokens: 1____ 2______ 3_ 4_ 5___ 6________ 7__ 8____ 9______ 10 11____ 12___ 13

Chunks:
  TruePositive nam [1,4] = Droga krajowa nr 44 (confidence=0.89)
  TruePositive nam [9,9] = Mikołów (confidence=1.00)
  TruePositive nam [11,12] = Bieruń Stary (confidence=1.00)

(ChunkerEvaluator) Sentence #160 from 00101257 from sent18

Text  : W mieście Oświęcim droga ta omija centrum miasta od południa ._
Tokens: 1 2______ 3_______ 4____ 5_ 6____ 7______ 8_____ 9_ 10______ 11

Chunks:
  TruePositive nam [3,3] = Oświęcim (confidence=0.99)

(ChunkerEvaluator) Sentence #161 from 00101257 from sent19

Text  : DK44 jest również uważana za południową obwodnicę GOP-u .
Tokens: 1___ 2___ 3______ 4______ 5_ 6_________ 7________ 8____ 9

Chunks:
  TruePositive nam [1,1] = DK44 (confidence=1.00)
  TruePositive nam [8,8] = GOP-u (confidence=1.00)

(ChunkerEvaluator) Sentence #162 from 00101257 from sent20

Text  : Oprócz tego w ramach budowy drogi ekspresowej S1 Mysłowice -_ Bielsko -_ Biała ma powstać m_ ._ in ._ południowa obwodnica Bierunia Nowego ,_ która prawdopodobnie wejdzie w_ część DK44 ._
Tokens: 1_____ 2___ 3 4_____ 5_____ 6____ 7__________ 8_ 9________ 10 11_____ 12 13___ 14 15_____ 16 17 18 19 20________ 21_______ 22______ 23____ 24 25___ 26____________ 27_____ 28 29___ 30__ 31

Chunks:
  TruePositive nam [11,13] = Bielsko - Biała (confidence=0.99)
  TruePositive nam [22,23] = Bierunia Nowego (confidence=1.00)
  TruePositive nam [30,30] = DK44 (confidence=0.55)
  FalsePositive nam [8,9] = S1 Mysłowice (confidence=0.87) (incorrect boundry)
  FalseNegative nam [8,8] = S1
  FalseNegative nam [9,9] = Mysłowice

(ChunkerEvaluator) Sentence #163 from 00101257 from sent21

Text  : Protest mieszkańców Tychów - Urbanowic
Tokens: 1______ 2__________ 3_____ 4 5________

Chunks:
  TruePositive nam [3,5] = Tychów - Urbanowic (confidence=0.99)

(ChunkerEvaluator) Sentence #164 from 00101257 from sent22

Text  : Mieszkańcy Urbanowic leżących na terenie miasta Tychy od grudnia 2007 roku protestują w_ związku z_ nasilającym się ruchem TIR-ów na DK44 oraz zmniejszającym się bezpieczeństwem na trasie ._
Tokens: 1_________ 2________ 3_______ 4_ 5______ 6_____ 7____ 8_ 9______ 10__ 11__ 12________ 13 14_____ 15 16_________ 17_ 18____ 19____ 20 21__ 22__ 23____________ 24_ 25_____________ 26 27____ 28

Chunks:
  TruePositive nam [7,7] = Tychy (confidence=1.00)
  TruePositive nam [21,21] = DK44 (confidence=0.61)
  FalsePositive nam [1,2] = Mieszkańcy Urbanowic (confidence=0.55) (incorrect boundry)
  FalsePositive nam [19,19] = TIR-ów (confidence=1.00) (incorrect boundry)
  FalseNegative nam [2,2] = Urbanowic

(ChunkerEvaluator) Sentence #165 from 00101257 from sent23

Text  : Mieszkańcy porównują tamtejszy odcinek DK44 do odcinka DK44 w Tychach -_ Wilkowyjach ._
Tokens: 1_________ 2________ 3________ 4______ 5___ 6_ 7______ 8___ 9 10_____ 11 12_________ 13

Chunks:
  TruePositive nam [5,5] = DK44 (confidence=0.51)
  TruePositive nam [8,8] = DK44 (confidence=1.00)
  TruePositive nam [10,12] = Tychach - Wilkowyjach (confidence=1.00)

(ChunkerEvaluator) Sentence #166 from 00101257 from sent24

Text  : W przeciwieństwie do dzielnicy Wilkowyje , czy Mąkołowiec przy tej drodze nie ma wybudowanych chodników ,_ lewoskrętów ,_ ani bezpiecznych ,_ oświetlonych przejść dla pieszych ._
Tokens: 1 2______________ 3_ 4________ 5________ 6 7__ 8_________ 9___ 10_ 11____ 12_ 13 14__________ 15_______ 16 17_________ 18 19_ 20__________ 21 22__________ 23_____ 24_ 25______ 26

Chunks:
  TruePositive nam [5,5] = Wilkowyje (confidence=1.00)
  TruePositive nam [8,8] = Mąkołowiec (confidence=0.99)

2017-06-14 20:24:21,323 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 11 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101336.xml
(ChunkerEvaluator) Sentence #167 from 00101336 from sent1

Text  : Wieża pancerna
Tokens: 1____ 2_______

Chunks:

(ChunkerEvaluator) Sentence #168 from 00101336 from sent2

Text  : Wieża pancerna jest elementem fortyfikacyjnym mającym chronić zainstalowane w niej uzbrojenie i_ obsługę przed bezpośrednim rażeniem odłamkami lub pociskami ._
Tokens: 1____ 2_______ 3___ 4________ 5______________ 6______ 7______ 8____________ 9 10__ 11________ 12 13_____ 14___ 15__________ 16______ 17_______ 18_ 19_______ 20

Chunks:

(ChunkerEvaluator) Sentence #169 from 00101336 from sent3

Text  : W fortyfikacji stałej najczęściej stosowanymi wieżami pancernymi były wieże obrotowe ,_ wystające ponad strop dzieła fortyfikacyjnego lub wieże obrotowo -_ wysuwane ,_ które w_ stanie spoczynku ukryte są wewnątrz dzieła fortyfikacyjnego ,_ i_ pozwalają na ukrycie otworów strzelnic wieży za przedpancerzem w_ razie ostrzału przeciwnika ._
Tokens: 1 2___________ 3_____ 4__________ 5__________ 6______ 7_________ 8___ 9____ 10______ 11 12_______ 13___ 14___ 15____ 16______________ 17_ 18___ 19______ 20 21______ 22 23___ 24 25____ 26_______ 27____ 28 29______ 30____ 31______________ 32 33 34_______ 35 36_____ 37_____ 38_______ 39___ 40 41____________ 42 43___ 44______ 45_________ 46

Chunks:

(ChunkerEvaluator) Sentence #170 from 00101336 from sent4

Text  : Podczas walki są wysuwane i mogą prowadzić ogień .
Tokens: 1______ 2____ 3_ 4_______ 5 6___ 7________ 8____ 9

Chunks:

(ChunkerEvaluator) Sentence #171 from 00101336 from sent5

Text  : Wieże obrotowe i obrotowo - wysuwane uzbrojone są zwykle w_ jedno lub dwa działa ,_ które dzięki obrotowi wieży mogą prowadzić ostrzał okrężny lub ograniczony do pewnego kąta ._
Tokens: 1____ 2_______ 3 4_______ 5 6_______ 7________ 8_ 9_____ 10 11___ 12_ 13_ 14____ 15 16___ 17____ 18______ 19___ 20__ 21_______ 22_____ 23_____ 24_ 25_________ 26 27_____ 28__ 29

Chunks:

(ChunkerEvaluator) Sentence #172 from 00101336 from sent6

Text  : Czasza wieży pancernej opierała się na przedpancerzu oraz łożysku kulowym ,_ co umożliwiało jej obrót w_ poziomie ._
Tokens: 1_____ 2____ 3________ 4_______ 5__ 6_ 7____________ 8___ 9______ 10_____ 11 12 13_________ 14_ 15___ 16 17______ 18

Chunks:

(ChunkerEvaluator) Sentence #173 from 00101336 from sent7

Text  : Zbliżone ideowo i funkcjonalnie do wież pancernych są wieże artyleryjskie stosowane na okrętach i_ wieże stosowane na czołgach i_ innych pojazdach bojowych ._
Tokens: 1_______ 2_____ 3 4____________ 5_ 6___ 7_________ 8_ 9____ 10___________ 11_______ 12 13______ 14 15___ 16_______ 17 18______ 19 20____ 21_______ 22______ 23

Chunks:

(ChunkerEvaluator) Sentence #174 from 00101336 from sent8

Text  : Czasami stosowano wieże czołgowe , rzadziej okrętowe jako elementy fortyfikacji ,_ w_ roli wież obrotowych ._
Tokens: 1______ 2________ 3____ 4_______ 5 6_______ 7_______ 8___ 9_______ 10__________ 11 12 13__ 14__ 15________ 16

Chunks:

(ChunkerEvaluator) Sentence #175 from 00101336 from sent9

Text  : Należy odróżniać obrotowe wieże pancerne od podobnych , ale nieruchomych kopuł pancernych ._
Tokens: 1_____ 2________ 3_______ 4____ 5_______ 6_ 7________ 8 9__ 10__________ 11___ 12________ 13

Chunks:

2017-06-14 20:24:21,369 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 12 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101352.xml
(ChunkerEvaluator) Sentence #176 from 00101352 from sent1

Text  : SimCity 3000
Tokens: 1______ 2___

Chunks:
  FalseNegative nam [1,2] = SimCity 3000

(ChunkerEvaluator) Sentence #177 from 00101352 from sent2

Text  : SimCity 3000 – strategiczno - ekonomiczna gra komputerowa , w_ której gracz ,_ wcielając się w_ burmistrza ,_ ma za zadanie zbudować wirtualne miasto i_ zarządzać nim ._
Tokens: 1______ 2___ 3 4___________ 5 6__________ 7__ 8__________ 9 10 11____ 12___ 13 14_______ 15_ 16 17________ 18 19 20 21_____ 22______ 23_______ 24____ 25 26_______ 27_ 28

Chunks:
  FalseNegative nam [1,2] = SimCity 3000

(ChunkerEvaluator) Sentence #178 from 00101352 from sent3

Text  : SimCity 3000 jest trzecią odsłoną SimCity stworzonej przez Willa Wrighta i_ firmę Maxis ._
Tokens: 1______ 2___ 3___ 4______ 5______ 6______ 7_________ 8____ 9____ 10_____ 11 12___ 13___ 14

Chunks:
  TruePositive nam [9,10] = Willa Wrighta (confidence=1.00)
  TruePositive nam [13,13] = Maxis (confidence=1.00)
  FalseNegative nam [1,2] = SimCity 3000
  FalseNegative nam [6,6] = SimCity

(ChunkerEvaluator) Sentence #179 from 00101352 from sent4

Text  : Jej poprzednikiem jest SimCity 2000 , zaś następcą SimCity 4_ ._
Tokens: 1__ 2____________ 3___ 4______ 5___ 6 7__ 8_______ 9______ 10 11

Chunks:
  FalsePositive nam [4,4] = SimCity (confidence=0.79) (incorrect boundry)
  FalseNegative nam [4,5] = SimCity 2000
  FalseNegative nam [9,10] = SimCity 4

(ChunkerEvaluator) Sentence #180 from 00101352 from sent5

Text  : Historia i zmiany w grze
Tokens: 1_______ 2 3_____ 4 5___

Chunks:

(ChunkerEvaluator) Sentence #181 from 00101352 from sent6

Text  : W lecie 1997 , Maxis ogłosiło , że będzie wydana nowa odsłona SimCity –_ SimCity 3000 ._
Tokens: 1 2____ 3___ 4 5____ 6_______ 7 8_ 9_____ 10____ 11__ 12_____ 13_____ 14 15_____ 16__ 17

Chunks:
  TruePositive nam [5,5] = Maxis (confidence=0.98)
  TruePositive nam [13,13] = SimCity (confidence=0.97)
  FalseNegative nam [15,16] = SimCity 3000

(ChunkerEvaluator) Sentence #182 from 00101352 from sent7

Text  : Nowa gra miała zaoferować pełną grafikę 3D i pozwolić graczom na poruszanie się po mieście w_ w_ pełnym trójwymiarze ._
Tokens: 1___ 2__ 3____ 4_________ 5____ 6______ 7_ 8 9_______ 10_____ 11 12________ 13_ 14 15_____ 16 17 18____ 19__________ 20

Chunks:

(ChunkerEvaluator) Sentence #183 from 00101352 from sent8

Text  : Miały być trójwymiarowe modele samochodów , łodzi , samolotów i_ ludzi ._
Tokens: 1____ 2__ 3____________ 4_____ 5_________ 6 7____ 8 9________ 10 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #184 from 00101352 from sent9

Text  : Ale Maxis musiało zmienić plany ponieważ przeciętny gracz nie posiadał wystarczająco dobrego sprzętu komputerowego ,_ by móc zagrać w_ nowe trójwymiarowe SimCity ._
Tokens: 1__ 2____ 3______ 4______ 5____ 6_______ 7_________ 8____ 9__ 10______ 11___________ 12_____ 13_____ 14___________ 15 16 17_ 18____ 19 20__ 21___________ 22_____ 23

Chunks:
  TruePositive nam [2,2] = Maxis (confidence=0.96)
  TruePositive nam [22,22] = SimCity (confidence=0.78)

(ChunkerEvaluator) Sentence #185 from 00101352 from sent10

Text  : Dlatego gra została zaprojektowana od nowa .
Tokens: 1______ 2__ 3______ 4_____________ 5_ 6___ 7

Chunks:

(ChunkerEvaluator) Sentence #186 from 00101352 from sent11

Text  : Projektanci SimCity sięgnęli po wypróbowany już rzut izometryczny znany graczom z_ poprzedniej odsłony –_ SimCity 2000 ._
Tokens: 1__________ 2______ 3_______ 4_ 5__________ 6__ 7___ 8___________ 9____ 10_____ 11 12_________ 13_____ 14 15_____ 16__ 17

Chunks:
  TruePositive nam [2,2] = SimCity (confidence=0.96)
  FalseNegative nam [15,16] = SimCity 2000

(ChunkerEvaluator) Sentence #187 from 00101352 from sent12

Text  : W SimCity 3000 jednak zwiększono liczbę kolorów z 256 do 64000 ,_ co dało niezwykłe –_ jak na tamte czasy –_ wrażenia wizualne ._
Tokens: 1 2______ 3___ 4_____ 5_________ 6_____ 7______ 8 9__ 10 11___ 12 13 14__ 15_______ 16 17_ 18 19___ 20___ 21 22______ 23______ 24

Chunks:
  FalsePositive nam [2,2] = SimCity (confidence=0.88) (incorrect boundry)
  FalseNegative nam [2,3] = SimCity 3000

(ChunkerEvaluator) Sentence #188 from 00101352 from sent13

Text  : Oprócz lepszej grafiki , Maxis zaoferował graczom możliwość obrócenia planszy gry ._
Tokens: 1_____ 2______ 3______ 4 5____ 6_________ 7______ 8________ 9________ 10_____ 11_ 12

Chunks:
  TruePositive nam [5,5] = Maxis (confidence=1.00)

(ChunkerEvaluator) Sentence #189 from 00101352 from sent14

Text  : Każdy budynek w grze można zobaczyć z czterech stron ._
Tokens: 1____ 2______ 3 4___ 5____ 6_______ 7 8_______ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #190 from 00101352 from sent15

Text  : Ponadto , wiele budynków posiada własne animacje np . w_ parkach można zauważyć kręcącą się karuzelę ,_ a_ na obiektach Przemysłowych obracające się anteny satelitarne ._
Tokens: 1______ 2 3____ 4_______ 5______ 6_____ 7_______ 8_ 9 10 11_____ 12___ 13______ 14_____ 15_ 16______ 17 18 19 20_______ 21___________ 22________ 23_ 24____ 25_________ 26

Chunks:

(ChunkerEvaluator) Sentence #191 from 00101352 from sent16

Text  : Przebudowano też interfejs .
Tokens: 1___________ 2__ 3________ 4

Chunks:

(ChunkerEvaluator) Sentence #192 from 00101352 from sent17

Text  : Gazety zastąpiono Nowinkami i paskiem u dołu ekranu , w_ którym przesuwają się nagłówki ._
Tokens: 1_____ 2_________ 3________ 4 5______ 6 7___ 8_____ 9 10 11____ 12________ 13_ 14______ 15

Chunks:
  FalsePositive nam [3,3] = Nowinkami (confidence=0.97) (incorrect boundry)

(ChunkerEvaluator) Sentence #193 from 00101352 from sent18

Text  : Rozbudowano narzędzia budżetu i zarządzania miastem .
Tokens: 1__________ 2________ 3______ 4 5__________ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #194 from 00101352 from sent19

Text  : Po raz pierwszy też wprowadzono doradców i petentów , którzy pomagają w_ grze ,_ choć bywają też natrętni ._
Tokens: 1_ 2__ 3_______ 4__ 5__________ 6_______ 7 8_______ 9 10____ 11______ 12 13__ 14 15__ 16____ 17_ 18______ 19

Chunks:

(ChunkerEvaluator) Sentence #195 from 00101352 from sent20

Text  : Nowością w grze jest dźwięk stereo .
Tokens: 1_______ 2 3___ 4___ 5_____ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #196 from 00101352 from sent21

Text  : W SimCity 3000 wprowadzono starzenie się budynków służb komunalnych :_ elektrowni ,_ pomp oraz spalarni odpadów i_ centrów recyklingu ._
Tokens: 1 2______ 3___ 4__________ 5________ 6__ 7_______ 8____ 9__________ 10 11________ 12 13__ 14__ 15______ 16_____ 17 18_____ 19________ 20

Chunks:
  TruePositive nam [2,3] = SimCity 3000 (confidence=0.81)

(ChunkerEvaluator) Sentence #197 from 00101352 from sent22

Text  : Starzenie doprowadza do zmniejszenia wydajności pracy , a po pewny czasie może dojść do zniszczenia budowli ._
Tokens: 1________ 2_________ 3_ 4___________ 5_________ 6____ 7 8 9_ 10___ 11____ 12__ 13___ 14 15_________ 16_____ 17

Chunks:

(ChunkerEvaluator) Sentence #198 from 00101352 from sent23

Text  : Co w przypadku elektrowni atomowej może mieć daleko idące skutki takie jak skażenie promieniotwórcze ._
Tokens: 1_ 2 3________ 4_________ 5_______ 6___ 7___ 8_____ 9____ 10____ 11___ 12_ 13______ 14______________ 15

Chunks:

(ChunkerEvaluator) Sentence #199 from 00101352 from sent24

Text  : Po raz pierwszy wprowadzono miasta sąsiednie , z którymi gracz może handlować :_ wodą ,_ energią elektryczną i_ odpadami ._
Tokens: 1_ 2__ 3_______ 4__________ 5_____ 6________ 7 8 9______ 10___ 11__ 12_______ 13 14__ 15 16_____ 17_________ 18 19______ 20

Chunks:

(ChunkerEvaluator) Sentence #200 from 00101352 from sent25

Text  : Nowością są też nagrody , które dostaje się za dobre zarządzanie miastem ._
Tokens: 1_______ 2_ 3__ 4______ 5 6____ 7______ 8__ 9_ 10___ 11_________ 12_____ 13

Chunks:

(ChunkerEvaluator) Sentence #201 from 00101352 from sent26

Text  : Niektóre z nich podnoszą standard życia mieszkańców , podnoszą wartość ziemi ,_ itp ._
Tokens: 1_______ 2 3___ 4_______ 5_______ 6____ 7__________ 8 9_______ 10_____ 11___ 12 13_ 14

Chunks:

(ChunkerEvaluator) Sentence #202 from 00101352 from sent27

Text  : Wśród nich są takie , które przynoszą miastu dochód ,_ ale nie cieszą się popularnością wśród mieszkańców ._
Tokens: 1____ 2___ 3_ 4____ 5 6____ 7________ 8_____ 9_____ 10 11_ 12_ 13____ 14_ 15___________ 16___ 17_________ 18

Chunks:

(ChunkerEvaluator) Sentence #203 from 00101352 from sent28

Text  : SimCity 3000 jest pierwszą z grą w serii SimCity ,_ która oddaje prawdziwą naturę miasta ._
Tokens: 1______ 2___ 3___ 4_______ 5 6__ 7 8____ 9______ 10 11___ 12____ 13_______ 14____ 15____ 16

Chunks:
  TruePositive nam [9,9] = SimCity (confidence=0.98)
  FalseNegative nam [1,2] = SimCity 3000

(ChunkerEvaluator) Sentence #204 from 00101352 from sent29

Text  : W mieście widać przechodniów spacerujących po chodnikach , bawiących się w_ parkach ,_ widać również samochody ,_ których jest kilkanaście typów ._
Tokens: 1 2______ 3____ 4___________ 5____________ 6_ 7_________ 8 9________ 10_ 11 12_____ 13 14___ 15_____ 16_______ 17 18_____ 19__ 20_________ 21___ 22

Chunks:

2017-06-14 20:24:21,479 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 13 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101371.xml
(ChunkerEvaluator) Sentence #205 from 00101371 from sent1

Text  : Heddal
Tokens: 1_____

Chunks:
  TruePositive nam [1,1] = Heddal (confidence=0.90)

(ChunkerEvaluator) Sentence #206 from 00101371 from sent2

Text  : Heddal - miejscowość w południowej Norwegii , w gminie Notodden ,_ w_ regionie administracyjnym Telemark ._
Tokens: 1_____ 2 3__________ 4 5__________ 6_______ 7 8 9_____ 10______ 11 12 13______ 14______________ 15______ 16

Chunks:
  TruePositive nam [1,1] = Heddal (confidence=0.90)
  TruePositive nam [6,6] = Norwegii (confidence=1.00)
  TruePositive nam [10,10] = Notodden (confidence=1.00)
  TruePositive nam [15,15] = Telemark (confidence=0.52)

(ChunkerEvaluator) Sentence #207 from 00101371 from sent3

Text  : Zabytki - drewniany kościół Heddal stavkirke z XII w ._
Tokens: 1______ 2 3________ 4______ 5_____ 6________ 7 8__ 9 10

Chunks:
  TruePositive nam [5,5] = Heddal (confidence=0.99)

(ChunkerEvaluator) Sentence #208 from 00101371 from sent4

Text  : Znajduje się tam 90 - metrowa skocznia narciarska o rozmiarze (_ Hill Size )_ 100 m_ ._
Tokens: 1_______ 2__ 3__ 4_ 5 6______ 7_______ 8_________ 9 10_______ 11 12__ 13__ 14 15_ 16 17

Chunks:
  FalsePositive nam [12,13] = Hill Size (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #209 from 00101371 from sent5

Text  : Rozgrywane są na niej zawody kobiet .
Tokens: 1_________ 2_ 3_ 4___ 5_____ 6_____ 7

Chunks:

2017-06-14 20:24:21,493 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 14 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101402.xml
(ChunkerEvaluator) Sentence #210 from 00101402 from sent1

Text  : EU40
Tokens: 1___

Chunks:
  TruePositive nam [1,1] = EU40 (confidence=1.00)

(ChunkerEvaluator) Sentence #211 from 00101402 from sent2

Text  : EU40 ( dawniej E400 ) – seria lokomotywy elektrycznej wyprodukowanych na zamówienie Wüstewaltersdorfer Kleinbahn AG (_ pol ._ Kolejka Walimska S_ ._ A_ ._ )_ w_ 1913 roku i_ eksploatowanej do roku 1959 ._
Tokens: 1___ 2 3______ 4___ 5 6 7____ 8_________ 9___________ 10_____________ 11 12________ 13________________ 14_______ 15 16 17_ 18 19_____ 20______ 21 22 23 24 25 26 27__ 28__ 29 30____________ 31 32__ 33__ 34

Chunks:
  TruePositive nam [1,1] = EU40 (confidence=1.00)
  TruePositive nam [4,4] = E400 (confidence=0.91)
  TruePositive nam [13,15] = Wüstewaltersdorfer Kleinbahn AG (confidence=1.00)
  TruePositive nam [19,24] = Kolejka Walimska S . A . (confidence=1.00)

(ChunkerEvaluator) Sentence #212 from 00101402 from sent3

Text  : Seria składa się tylko z jednej lokomotywy .
Tokens: 1____ 2_____ 3__ 4____ 5 6_____ 7_________ 8

Chunks:

(ChunkerEvaluator) Sentence #213 from 00101402 from sent4

Text  : Do 1959 roku oznaczenie serii brzmiało E400 ( jeden numer E401 )_ ,_ na krótko w_ 1959 serię oznaczono jako EU40 (_ jeden numer EU40 -_ 01 )_ ._
Tokens: 1_ 2___ 3___ 4_________ 5____ 6_______ 7___ 8 9____ 10___ 11__ 12 13 14 15____ 16 17__ 18___ 19_______ 20__ 21__ 22 23___ 24___ 25__ 26 27 28 29

Chunks:
  TruePositive nam [7,7] = E400 (confidence=0.80)
  TruePositive nam [11,11] = E401 (confidence=0.93)
  TruePositive nam [21,21] = EU40 (confidence=0.84)
  TruePositive nam [25,27] = EU40 - 01 (confidence=0.69)

(ChunkerEvaluator) Sentence #214 from 00101402 from sent5

Text  : Fizycznie lokomotywa prawdopodobnie nie nosiła takiego oznaczenia .
Tokens: 1________ 2_________ 3_____________ 4__ 5_____ 6______ 7_________ 8

Chunks:

(ChunkerEvaluator) Sentence #215 from 00101402 from sent6

Text  : Obecnie znajduje się na terenie Grochowskiej lokomotywowni .
Tokens: 1______ 2_______ 3__ 4_ 5______ 6___________ 7____________ 8

Chunks:
  FalsePositive nam [6,6] = Grochowskiej (confidence=0.78) (incorrect boundry)

2017-06-14 20:24:21,516 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 15 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101541.xml
(ChunkerEvaluator) Sentence #216 from 00101541 from sent1

Text  : kod powrotu ostanio wykonywanego polecenia
Tokens: 1__ 2______ 3______ 4___________ 5________

Chunks:

(ChunkerEvaluator) Sentence #217 from 00101541 from sent2

Text  : PID procesu bieżącej powłoki
Tokens: 1__ 2______ 3_______ 4______

Chunks:
  FalseNegative nam [1,1] = PID

(ChunkerEvaluator) Sentence #218 from 00101541 from sent3

Text  : Zmienne środowiskowe ( ang . environment variables )
Tokens: 1______ 2___________ 3 4__ 5 6__________ 7________ 8

Chunks:

(ChunkerEvaluator) Sentence #219 from 00101541 from sent4

Text  : Definują środowisko użytkownika , dostępne dla wszystkich procesów potomnych ._
Tokens: 1_______ 2_________ 3__________ 4 5_______ 6__ 7_________ 8_______ 9________ 10

Chunks:

(ChunkerEvaluator) Sentence #220 from 00101541 from sent5

Text  : Można je podzielić na : globalne - widoczne w każdym podshellu
Tokens: 1____ 2_ 3________ 4_ 5 6_______ 7 8_______ 9 10____ 11_______

Chunks:

(ChunkerEvaluator) Sentence #221 from 00101541 from sent6

Text  : lokalne - widoczne tylko dla tego shella w którym został ustawione
Tokens: 1______ 2 3_______ 4____ 5__ 6___ 7_____ 8 9_____ 10____ 11_______

Chunks:

(ChunkerEvaluator) Sentence #222 from 00101541 from sent7

Text  : Aby bardziej uzmysłowić sobie różnicę między nimi zrób mały eksperyment :_ otwórz xterma (_ widoczny podshell )_ i_ wpisz :_
Tokens: 1__ 2_______ 3_________ 4____ 5______ 6_____ 7___ 8___ 9___ 10_________ 11 12____ 13____ 14 15______ 16______ 17 18 19___ 20

Chunks:

(ChunkerEvaluator) Sentence #223 from 00101541 from sent8

Text  : x = " napis " echo $ x xterm x_ =_ "_ napis "_ #_ zdefiniował eś właśnie zmienną x_ ,_ która ma wartość "_ napis "_ echo $_ x_ #_ wyświetli wartość zmiennej x_ xterm #_ wywołanie podshella
Tokens: 1 2 3 4____ 5 6___ 7 8 9____ 10 11 12 13___ 14 15 16_________ 17 18_____ 19_____ 20 21 22___ 23 24_____ 25 26___ 27 28__ 29 30 31 32_______ 33_____ 34______ 35 36___ 37 38_______ 39_______

Chunks:

(ChunkerEvaluator) Sentence #224 from 00101541 from sent9

Text  : wpisz więc jeszcze raz :
Tokens: 1____ 2___ 3______ 4__ 5

Chunks:

(ChunkerEvaluator) Sentence #225 from 00101541 from sent10

Text  : echo $ x # nie pokaże nic , bo zmienne lokalne nie są widoczne w_ podshellach
Tokens: 1___ 2 3 4 5__ 6_____ 7__ 8 9_ 10_____ 11_____ 12_ 13 14______ 15 16_________

Chunks:

(ChunkerEvaluator) Sentence #226 from 00101541 from sent11

Text  : Możesz teraz zainicjować zmienną globalną :
Tokens: 1_____ 2____ 3__________ 4______ 5_______ 6

Chunks:

(ChunkerEvaluator) Sentence #227 from 00101541 from sent12

Text  : export x = " napis "
Tokens: 1_____ 2 3 4 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #228 from 00101541 from sent13

Text  : Teraz zmienna x będzie widoczna w podshellach , jak widać wyżej służy do tego polecenie export ,_ nadaje ono wskazanym zmiennym atrybut zmiennych globalnych ._
Tokens: 1____ 2______ 3 4_____ 5_______ 6 7__________ 8 9__ 10___ 11___ 12___ 13 14__ 15_______ 16____ 17 18____ 19_ 20_______ 21______ 22_____ 23_______ 24________ 25

Chunks:

(ChunkerEvaluator) Sentence #229 from 00101541 from sent14

Text  : Jeśli napiszesz samo export , opcjonalnie export - p uzyskasz listę aktualnie eksportowanych zmiennych ._
Tokens: 1____ 2________ 3___ 4_____ 5 6__________ 7_____ 8 9 10______ 11___ 12_______ 13____________ 14_______ 15

Chunks:

(ChunkerEvaluator) Sentence #230 from 00101541 from sent15

Text  : Na tej liście przed nazwą każdej zmiennej znajduje się zapis :_
Tokens: 1_ 2__ 3_____ 4____ 5____ 6_____ 7_______ 8_______ 9__ 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #231 from 00101541 from sent16

Text  : To wewnętrzne polecenie BASH-a , służące do definiowania zmiennych i_ nadawania im atrybutów ,_ -_ x_ to atrybut eksportu czyli jest to ,_ to samo co polecenie export ._
Tokens: 1_ 2_________ 3________ 4_____ 5 6______ 7_ 8___________ 9________ 10 11_______ 12 13_______ 14 15 16 17 18_____ 19______ 20___ 21__ 22 23 24 25__ 26 27_______ 28____ 29

Chunks:
  FalsePositive nam [4,4] = BASH-a (confidence=1.00) (incorrect boundry)
  FalseNegative nam [4,5] = BASH-a ,

(ChunkerEvaluator) Sentence #232 from 00101541 from sent17

Text  : Ale tu uwaga !
Tokens: 1__ 2_ 3____ 4

Chunks:

(ChunkerEvaluator) Sentence #233 from 00101541 from sent18

Text  : Polecenie declare występuje tylko w BASH-u , nie ma go w_ innych powłokach ,_ natomiast export występuje w_ ksh ,_ ash i_ innych ,_ które korzystają z_ plików startowych /_ etc /_ profile ._
Tokens: 1________ 2______ 3________ 4____ 5 6_____ 7 8__ 9_ 10 11 12____ 13_______ 14 15_______ 16____ 17_______ 18 19_ 20 21_ 22 23____ 24 25___ 26________ 27 28____ 29________ 30 31_ 32 33_____ 34

Chunks:
  FalsePositive nam [6,6] = BASH-u (confidence=1.00) (incorrect boundry)
  FalseNegative nam [6,7] = BASH-u ,
  FalseNegative nam [19,19] = ksh
  FalseNegative nam [21,21] = ash

(ChunkerEvaluator) Sentence #234 from 00101541 from sent19

Text  : Dlatego też zaleca się stosowanie polecenia export .
Tokens: 1______ 2__ 3_____ 4__ 5_________ 6________ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #235 from 00101541 from sent20

Text  : export - n zmienna
Tokens: 1_____ 2 3 4______

Chunks:

(ChunkerEvaluator) Sentence #236 from 00101541 from sent21

Text  : Spowoduje usunięcie atrybutu eksportu dla danej zmiennej .
Tokens: 1________ 2________ 3_______ 4_______ 5__ 6____ 7_______ 8

Chunks:

(ChunkerEvaluator) Sentence #237 from 00101541 from sent22

Text  : Niektóre przykłady zmiennych środowiskowych :
Tokens: 1_______ 2________ 3________ 4_____________ 5

Chunks:

(ChunkerEvaluator) Sentence #238 from 00101541 from sent23

Text  : $ HOME # ścieżka do twojego katalogu domowego $ USER #_ twój login $_ HOSTNAME #_ nazwa twojego hosta $_ OSTYPE #_ rodzaj systemu operacyjnego itp ._ dostępne zmienne srodowiskowe można wyświetlić za pomoca polecenia :_
Tokens: 1 2___ 3 4______ 5_ 6______ 7_______ 8_______ 9 10__ 11 12__ 13___ 14 15______ 16 17___ 18_____ 19___ 20 21____ 22 23____ 24_____ 25__________ 26_ 27 28______ 29_____ 30__________ 31___ 32________ 33 34____ 35_______ 36

Chunks:
  FalsePositive nam [15,15] = HOSTNAME (confidence=0.83) (incorrect boundry)
  FalsePositive nam [21,21] = OSTYPE (confidence=0.57) (incorrect boundry)

(ChunkerEvaluator) Sentence #239 from 00101541 from sent24

Text  : printenv | more
Tokens: 1_______ 2 3___

Chunks:

(ChunkerEvaluator) Sentence #240 from 00101541 from sent25

Text  : Zmienne tablicowe
Tokens: 1______ 2________

Chunks:

(ChunkerEvaluator) Sentence #241 from 00101541 from sent26

Text  : BASH pozwala na stosowanie zmiennych tablicowych jednowymiarowych .
Tokens: 1___ 2______ 3_ 4_________ 5________ 6__________ 7_______________ 8

Chunks:
  FalseNegative nam [1,1] = BASH

(ChunkerEvaluator) Sentence #242 from 00101541 from sent27

Text  : Czym jest tablica ?
Tokens: 1___ 2___ 3______ 4

Chunks:

(ChunkerEvaluator) Sentence #243 from 00101541 from sent28

Text  : To zmienna która przechowuje listę jakichś wartości ( rozdzielonych spacjami )_ ,_ w_ BASH'u nie ma maksymalnego rozmiaru tablic ._
Tokens: 1_ 2______ 3____ 4__________ 5____ 6______ 7_______ 8 9____________ 10______ 11 12 13 14____ 15_ 16 17__________ 18______ 19____ 20

Chunks:
  TruePositive nam [14,14] = BASH'u (confidence=1.00)

(ChunkerEvaluator) Sentence #244 from 00101541 from sent29

Text  : Kolejne wartości zmiennej tablicowej indeksowane są przy pomocy liczb całkowitych ,_ zaczynając od 0_ ._ zmienna =_ (_ wartość1 wartość2 wartość3 wartośćn )_
Tokens: 1______ 2_______ 3_______ 4_________ 5__________ 6_ 7___ 8_____ 9____ 10_________ 11 12________ 13 14 15 16_____ 17 18 19______ 20______ 21______ 22______ 23

Chunks:

(ChunkerEvaluator) Sentence #245 from 00101541 from sent30

Text  : Przykład :
Tokens: 1_______ 2

Chunks:

(ChunkerEvaluator) Sentence #246 from 00101541 from sent31

Text  : # ! / bin / bash tablica = ( element1 element2 element3 )_ echo $_ {_ tablica [_ 0_ ]_ }_ echo $_ {_ tablica [_ 1_ ]_ }_ echo $_ {_ tablica [_ 2_ ]_ }_
Tokens: 1 2 3 4__ 5 6___ 7______ 8 9 10______ 11______ 12______ 13 14__ 15 16 17_____ 18 19 20 21 22__ 23 24 25_____ 26 27 28 29 30__ 31 32 33_____ 34 35 36 37

Chunks:

2017-06-14 20:24:21,624 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 16 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101545.xml
(ChunkerEvaluator) Sentence #247 from 00101545 from sent1

Text  : W sieci pojawiło się kolejne darmowe , elektroniczne wydanie bardzo dobrze znanego wszystkim magazynu Linux +_ ._
Tokens: 1 2____ 3_______ 4__ 5______ 6______ 7 8____________ 9______ 10____ 11____ 12_____ 13_______ 14______ 15___ 16 17

Chunks:
  TruePositive nam [15,16] = Linux + (confidence=0.98)

(ChunkerEvaluator) Sentence #248 from 00101545 from sent2

Text  : Od kliku wydań autorzy zdecydowali się , że prócz wersji drukowanej ,_ będzie również wersja elektroniczna ._
Tokens: 1_ 2____ 3____ 4______ 5__________ 6__ 7 8_ 9____ 10____ 11________ 12 13____ 14_____ 15____ 16___________ 17

Chunks:

(ChunkerEvaluator) Sentence #249 from 00101545 from sent3

Text  : Jednakże istnieje duże prawdopodobieństwo , że zrezygnują w formy drukarskiej ,_ na rzecz wydań typowo w_ internecie ._
Tokens: 1_______ 2_______ 3___ 4_________________ 5 6_ 7_________ 8 9____ 10_________ 11 12 13___ 14___ 15____ 16 17________ 18

Chunks:
  TruePositive nam [17,17] = internecie (confidence=0.81)

(ChunkerEvaluator) Sentence #250 from 00101545 from sent4

Text  : Jednakże wszyscy Ci , którzy mają opłaconą prenumeratę , nie muszą się o_ nic martwić ._
Tokens: 1_______ 2______ 3_ 4 5_____ 6___ 7_______ 8__________ 9 10_ 11___ 12_ 13 14_ 15_____ 16

Chunks:

(ChunkerEvaluator) Sentence #251 from 00101545 from sent5

Text  : Do nich nadal będzie dochodziło papierowe wydanie co miesiąc ._
Tokens: 1_ 2___ 3____ 4_____ 5_________ 6________ 7______ 8_ 9______ 10

Chunks:

2017-06-14 20:24:21,646 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 17 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101554.xml
(ChunkerEvaluator) Sentence #252 from 00101554 from sent1

Text  : Ośmnastego lutego roku 1814 jechał na białym koniu człowiek średniego wieku ,_ nieco otyły ,_ w_ sieraczkowym surducie pod szyję zapiętym ,_ w_ kapeluszu stosowanym bez żadnego znaku prócz małej trójkolorowej kokardy ._
Tokens: 1_________ 2_____ 3___ 4___ 5_____ 6_ 7_____ 8____ 9_______ 10_______ 11___ 12 13___ 14___ 15 16 17__________ 18______ 19_ 20___ 21______ 22 23 24_______ 25________ 26_ 27_____ 28___ 29___ 30___ 31___________ 32_____ 33

Chunks:

(ChunkerEvaluator) Sentence #253 from 00101554 from sent2

Text  : Za nim w niejakiej odległości drugi , znacznie młodszy ,_ także w_ surducie ,_ ale ciemnozielonym ,_ także w_ kapeluszu bez znaków ,_ także zgarbiony równie jak pierwszy ,_ a_ może i_ lepiej —_ siedział na dereszowatym koniu ._
Tokens: 1_ 2__ 3 4________ 5_________ 6____ 7 8_______ 9______ 10 11___ 12 13______ 14 15_ 16____________ 17 18___ 19 20_______ 21_ 22____ 23 24___ 25_______ 26____ 27_ 28______ 29 30 31__ 32 33____ 34 35______ 36 37__________ 38___ 39

Chunks:

(ChunkerEvaluator) Sentence #254 from 00101554 from sent3

Text  : Koń biały , krwi orientalnej , był niewielki , niepokaźny ,_ ale dzielny ._
Tokens: 1__ 2____ 3 4___ 5__________ 6 7__ 8________ 9 10________ 11 12_ 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #255 from 00101554 from sent4

Text  : Deresz zaś był . . . dereszowaty , trudno co o_ nim więcej powiedzieć :_ nie wstrzymywany ani sławą przodków ,_ ani swoim własnym usposobieniem ,_ potykał się często na drodze ,_ którą mu los codziennie wyznaczał ._
Tokens: 1_____ 2__ 3__ 4 5 6 7__________ 8 9_____ 10 11 12_ 13____ 14________ 15 16_ 17__________ 18_ 19___ 20______ 21 22_ 23___ 24_____ 25___________ 26 27_____ 28_ 29____ 30 31____ 32 33___ 34 35_ 36________ 37_______ 38

Chunks:

(ChunkerEvaluator) Sentence #256 from 00101554 from sent5

Text  : Pierwszym z tych jeźdźców był Napoleon , drugim był em ja ._
Tokens: 1________ 2 3___ 4_______ 5__ 6_______ 7 8_____ 9__ 10 11 12

Chunks:
  TruePositive nam [6,6] = Napoleon (confidence=1.00)

(ChunkerEvaluator) Sentence #257 from 00101554 from sent6

Text  : Między nami liczny sztab cesarski , gdzie ja niby na szarym końcu miejsce moje miałem ,_ rozpuścił szeroko skrzydła na prawo i_ na lewo po śniegiem okrytym polu ._
Tokens: 1_____ 2___ 3_____ 4____ 5_______ 6 7____ 8_ 9___ 10 11____ 12___ 13_____ 14__ 15____ 16 17_______ 18_____ 19______ 20 21___ 22 23 24__ 25 26______ 27_____ 28__ 29

Chunks:

(ChunkerEvaluator) Sentence #258 from 00101554 from sent7

Text  : Za nami postępowały służbowe szwadrony gwardii , a na ,_ samym końcu świergotliwa i_ niesforna czereda ciurów z_ powodnymi i_ jucznymi końmi sztabowych oficerów ._
Tokens: 1_ 2___ 3__________ 4_______ 5________ 6______ 7 8 9_ 10 11___ 12___ 13__________ 14 15_______ 16_____ 17____ 18 19_______ 20 21______ 22___ 23________ 24______ 25

Chunks:

(ChunkerEvaluator) Sentence #259 from 00101554 from sent8

Text  : Jechał więc Cesarz , jechali wszyscy , jechał em i_ ja ._
Tokens: 1_____ 2___ 3_____ 4 5______ 6______ 7 8_____ 9_ 10 11 12

Chunks:
  FalseNegative nam [3,3] = Cesarz

(ChunkerEvaluator) Sentence #260 from 00101554 from sent9

Text  : A ile w noc pogodną gwiazd na niebie , w_ tyle miejsc ,_ stron ,_ przedmiotów ,_ nieodgadnionych labiryntów pędziły rozstrzelone myśli nasze ,_ a_ każda z_ nich znowu jak racy słup ognisty składała się z_ milionów iskier ,_ iskier wspomnienia lub nadziei ._
Tokens: 1 2__ 3 4__ 5______ 6_____ 7_ 8_____ 9 10 11__ 12____ 13 14___ 15 16_________ 17 18_____________ 19________ 20_____ 21__________ 22___ 23___ 24 25 26___ 27 28__ 29___ 30_ 31__ 32__ 33_____ 34______ 35_ 36 37______ 38____ 39 40____ 41_________ 42_ 43_____ 44

Chunks:

(ChunkerEvaluator) Sentence #261 from 00101554 from sent10

Text  : Te padały to na tronowe kobierce , to na murawę zagrody rodzimej ,_ mieszały się z_ jarzącym światłem uczty albo z_ mdłym promykiem nocnego kagańca przy łożu chorego ._
Tokens: 1_ 2_____ 3_ 4_ 5______ 6_______ 7 8_ 9_ 10____ 11_____ 12______ 13 14______ 15_ 16 17______ 18______ 19___ 20__ 21 22___ 23_______ 24_____ 25_____ 26__ 27__ 28_____ 29

Chunks:

(ChunkerEvaluator) Sentence #262 from 00101554 from sent11

Text  : Niejedna przemknęła się po różanych ustach kochanki , niejedna spuściła się jak sen lekka po tak drogie w_ każdej porze życia błogosławieństwo matki ._
Tokens: 1_______ 2_________ 3__ 4_ 5_______ 6_____ 7_______ 8 9_______ 10______ 11_ 12_ 13_ 14___ 15 16_ 17____ 18 19____ 20___ 21___ 22______________ 23___ 24

Chunks:

(ChunkerEvaluator) Sentence #263 from 00101554 from sent12

Text  : Były takie , co przebijały niebios sklepienia , i takie ,_ co wnikały zasute już groby ._
Tokens: 1___ 2____ 3 4_ 5_________ 6______ 7_________ 8 9 10___ 11 12 13_____ 14____ 15_ 16___ 17

Chunks:

(ChunkerEvaluator) Sentence #264 from 00101554 from sent13

Text  : Wiele , wiele pięło się po szczeblach zaszczytów , bogactw ,_ sławy ,_ ale też i_ wiele spadało na kwiaty cichego domowego szczęścia ._
Tokens: 1____ 2 3____ 4____ 5__ 6_ 7_________ 8_________ 9 10_____ 11 12___ 13 14_ 15_ 16 17___ 18_____ 19 20____ 21_____ 22______ 23_______ 24

Chunks:

(ChunkerEvaluator) Sentence #265 from 00101554 from sent14

Text  : Słowem , przeszłość , obecność , przyszłość , świat ,_ światy znane i_ nieznane były polem igrzysk naszych rozstrzelonych myśli ,_ gdy nagle ,_ w_ mgnieniu oka ._
Tokens: 1_____ 2 3_________ 4 5_______ 6 7_________ 8 9____ 10 11____ 12___ 13 14______ 15__ 16___ 17_____ 18_____ 19____________ 20___ 21 22_ 23___ 24 25 26______ 27_ 28

Chunks:

(ChunkerEvaluator) Sentence #266 from 00101554 from sent15

Text  : wszystkie jedną siłą uderzone w jeden zbiegły się punkt ._
Tokens: 1________ 2____ 3___ 4_______ 5 6____ 7______ 8__ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #267 from 00101554 from sent16

Text  : Tym punktem był huk mocny i powtórzony w niezbyt dalekiej przed nami odległości ._
Tokens: 1__ 2______ 3__ 4__ 5____ 6 7_________ 8 9______ 10______ 11___ 12__ 13________ 14

Chunks:

(ChunkerEvaluator) Sentence #268 from 00101554 from sent17

Text  : Armaty !
Tokens: 1_____ 2

Chunks:

(ChunkerEvaluator) Sentence #269 from 00101554 from sent18

Text  : tak , armaty , nie ma wątpiena , ryczą coraz lepiej ,_ jak na wyścigi ,_ która głośniej ._ ._ ._ wkrótce i_ ogień karabinowy ,_ jakby kto groch sypał na bęben ,_ zapełnił przerwy grzmotu działowego ._
Tokens: 1__ 2 3_____ 4 5__ 6_ 7_______ 8 9____ 10___ 11____ 12 13_ 14 15_____ 16 17___ 18______ 19 20 21 22_____ 23 24___ 25________ 26 27___ 28_ 29___ 30___ 31 32___ 33 34______ 35_____ 36_____ 37________ 38

Chunks:

(ChunkerEvaluator) Sentence #270 from 00101554 from sent19

Text  : — Aha ! — rzekł niejeden i zaglądnął do manierki alias flaszki ._
Tokens: 1 2__ 3 4 5____ 6_______ 7 8________ 9_ 10______ 11___ 12_____ 13

Chunks:

2017-06-14 20:24:21,757 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 18 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101590.xml
(ChunkerEvaluator) Sentence #271 from 00101590 from sent1

Text  : Wicemarszałek Krzysztof Putra :
Tokens: 1____________ 2________ 3____ 4

Chunks:
  TruePositive nam [2,3] = Krzysztof Putra (confidence=1.00)

(ChunkerEvaluator) Sentence #272 from 00101590 from sent2

Text  : Dziękuję bardzo panu posłowi .
Tokens: 1_______ 2_____ 3___ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #273 from 00101590 from sent3

Text  : Pan poseł Waldemar Andzel , Prawo i Sprawiedliwość .
Tokens: 1__ 2____ 3_______ 4_____ 5 6____ 7 8_____________ 9

Chunks:
  TruePositive nam [3,4] = Waldemar Andzel (confidence=1.00)
  TruePositive nam [6,8] = Prawo i Sprawiedliwość (confidence=1.00)

(ChunkerEvaluator) Sentence #274 from 00101590 from sent4

Text  : Proszę bardzo , panie pośle .
Tokens: 1_____ 2_____ 3 4____ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #275 from 00101590 from sent5

Text  : Poseł Waldemar Andzel :
Tokens: 1____ 2_______ 3_____ 4

Chunks:
  TruePositive nam [2,3] = Waldemar Andzel (confidence=1.00)

(ChunkerEvaluator) Sentence #276 from 00101590 from sent6

Text  : Dziękuję bardzo .
Tokens: 1_______ 2_____ 3

Chunks:

(ChunkerEvaluator) Sentence #277 from 00101590 from sent7

Text  : Panie Marszałku !
Tokens: 1____ 2________ 3

Chunks:

(ChunkerEvaluator) Sentence #278 from 00101590 from sent8

Text  : Wysoka Izbo !
Tokens: 1_____ 2___ 3

Chunks:

(ChunkerEvaluator) Sentence #279 from 00101590 from sent9

Text  : Dnia 20 listopada mijają 84 lata od śmierci wybitnego polskiego pisarza Stefana Żeromskiego ._
Tokens: 1___ 2_ 3________ 4_____ 5_ 6___ 7_ 8______ 9________ 10_______ 11_____ 12_____ 13_________ 14

Chunks:
  TruePositive nam [12,13] = Stefana Żeromskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #280 from 00101590 from sent10

Text  : Żeromski dzieciństwo spędził w Ciekotach , u stóp Gór Świętokrzyskich ._
Tokens: 1_______ 2__________ 3______ 4 5________ 6 7 8___ 9__ 10_____________ 11

Chunks:
  TruePositive nam [1,1] = Żeromski (confidence=0.63)
  TruePositive nam [5,5] = Ciekotach (confidence=1.00)
  TruePositive nam [9,10] = Gór Świętokrzyskich (confidence=0.96)

(ChunkerEvaluator) Sentence #281 from 00101590 from sent11

Text  : Pochodził ze szlacheckiej , ale biednej rodziny .
Tokens: 1________ 2_ 3___________ 4 5__ 6______ 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #282 from 00101590 from sent12

Text  : Rodzice zmarli bardzo wcześnie i tym samym musiał bardzo szybko nauczyć się samodzielności ._
Tokens: 1______ 2_____ 3_____ 4_______ 5 6__ 7____ 8_____ 9_____ 10____ 11_____ 12_ 13____________ 14

Chunks:

(ChunkerEvaluator) Sentence #283 from 00101590 from sent13

Text  : W związku z powyższym uczęszczał do Kieleckiego Gimnazjum Miejskiego i_ jednocześnie utrzymywał się z_ udzielania korepetycji ._
Tokens: 1 2______ 3 4________ 5_________ 6_ 7__________ 8________ 9_________ 10 11__________ 12________ 13_ 14 15________ 16_________ 17

Chunks:
  TruePositive nam [7,9] = Kieleckiego Gimnazjum Miejskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #284 from 00101590 from sent14

Text  : W szkole nie był prymusem , miał kłopoty ze zdrowiem i_ dlatego powtarzał dwie klasy ._
Tokens: 1 2_____ 3__ 4__ 5_______ 6 7___ 8______ 9_ 10______ 11 12_____ 13_______ 14__ 15___ 16

Chunks:

(ChunkerEvaluator) Sentence #285 from 00101590 from sent15

Text  : Jak się okazało , nie miało to wpływu na jego późniejszą wybitną twórczość ._
Tokens: 1__ 2__ 3______ 4 5__ 6____ 7_ 8_____ 9_ 10__ 11________ 12_____ 13_______ 14

Chunks:

(ChunkerEvaluator) Sentence #286 from 00101590 from sent16

Text  : Studiował dwa lata w warszawskiej Szkole Weterynaryjnej , a od 1888 r_ ._ pracował jako guwerner ,_ ucząc szlacheckie dzieci ._
Tokens: 1________ 2__ 3___ 4 5___________ 6_____ 7_____________ 8 9 10 11__ 12 13 14______ 15__ 16______ 17 18___ 19_________ 20____ 21

Chunks:
  TruePositive nam [6,7] = Szkole Weterynaryjnej (confidence=0.99)

(ChunkerEvaluator) Sentence #287 from 00101590 from sent17

Text  : Ożenił się z Oktawią Rodkiewiczową z Radziwiłłowiczów , z którą miał syna Adama ._
Tokens: 1_____ 2__ 3 4______ 5____________ 6 7_______________ 8 9 10___ 11__ 12__ 13___ 14

Chunks:
  TruePositive nam [13,13] = Adama (confidence=1.00)
  FalsePositive nam [4,5] = Oktawią Rodkiewiczową (confidence=1.00) (incorrect boundry)
  FalsePositive nam [7,7] = Radziwiłłowiczów (confidence=0.89) (incorrect boundry)
  FalseNegative nam [4,7] = Oktawią Rodkiewiczową z Radziwiłłowiczów

(ChunkerEvaluator) Sentence #288 from 00101590 from sent18

Text  : W 1890 r . objął posadę w Nałęczowie , modnym uzdrowisku ,_ do którego przyjeżdżali znani pisarze i_ dziennikarze ._
Tokens: 1 2___ 3 4 5____ 6_____ 7 8_________ 9 10____ 11________ 12 13 14_____ 15__________ 16___ 17_____ 18 19__________ 20

Chunks:
  TruePositive nam [8,8] = Nałęczowie (confidence=1.00)

(ChunkerEvaluator) Sentence #289 from 00101590 from sent19

Text  : Miejsce to stało się niezwykle ważne dla rodziny Żeromskich ,_ ponieważ dom w_ Nałęczowie uważany był za ośrodek aktywności patriotycznej i_ edukacyjnej ._
Tokens: 1______ 2_ 3____ 4__ 5________ 6____ 7__ 8______ 9_________ 10 11______ 12_ 13 14________ 15_____ 16_ 17 18_____ 19________ 20___________ 21 22_________ 23

Chunks:
  TruePositive nam [9,9] = Żeromskich (confidence=1.00)
  TruePositive nam [14,14] = Nałęczowie (confidence=0.99)

(ChunkerEvaluator) Sentence #290 from 00101590 from sent20

Text  : Funkcjonowała w nim ochronka dla dzieci z ubogich rodzin i_ tajna szkoła polska ._
Tokens: 1____________ 2 3__ 4_______ 5__ 6_____ 7 8______ 9_____ 10 11___ 12____ 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #291 from 00101590 from sent21

Text  : Wraz z grupą miejscowych radykalnych inteligentów założył w Nałęczowie Uniwersytet Ludowy ,_ w_ którym wygłaszał odczyty ._
Tokens: 1___ 2 3____ 4__________ 5__________ 6___________ 7______ 8 9_________ 10_________ 11____ 12 13 14____ 15_______ 16_____ 17

Chunks:
  FalsePositive nam [9,11] = Nałęczowie Uniwersytet Ludowy (confidence=1.00) (incorrect boundry)
  FalseNegative nam [9,9] = Nałęczowie
  FalseNegative nam [10,11] = Uniwersytet Ludowy

(ChunkerEvaluator) Sentence #292 from 00101590 from sent22

Text  : W latach 1897 – 1903 mieszkał w Warszawie i pracował w_ Bibliotece Ordynacji Zamojskich ._
Tokens: 1 2_____ 3___ 4 5___ 6_______ 7 8________ 9 10______ 11 12________ 13_______ 14________ 15

Chunks:
  TruePositive nam [8,8] = Warszawie (confidence=1.00)
  TruePositive nam [12,14] = Bibliotece Ordynacji Zamojskich (confidence=1.00)

(ChunkerEvaluator) Sentence #293 from 00101590 from sent23

Text  : Od 1904 r . , kiedy to po opublikowaniu „_ Popiołów ”_ zyskał względną stabilizację finansową ,_ zaprzestał szukania posad ._
Tokens: 1_ 2___ 3 4 5 6____ 7_ 8_ 9____________ 10 11______ 12 13____ 14______ 15__________ 16_______ 17 18________ 19______ 20___ 21

Chunks:
  TruePositive nam [11,11] = Popiołów (confidence=1.00)

(ChunkerEvaluator) Sentence #294 from 00101590 from sent24

Text  : Oddał się pracy pisarskiej i działalności społecznej .
Tokens: 1____ 2__ 3____ 4_________ 5 6___________ 7_________ 8

Chunks:

(ChunkerEvaluator) Sentence #295 from 00101590 from sent25

Text  : W 1913 r . ożenił się powtórnie z malarką Anną Zawadzką i_ wyjechał do Florencji ,_ gdzie przyszła na świat ich córka Monika ._
Tokens: 1 2___ 3 4 5_____ 6__ 7________ 8 9______ 10__ 11______ 12 13______ 14 15_______ 16 17___ 18______ 19 20___ 21_ 22___ 23____ 24

Chunks:
  TruePositive nam [10,11] = Anną Zawadzką (confidence=1.00)
  TruePositive nam [15,15] = Florencji (confidence=0.99)
  TruePositive nam [23,23] = Monika (confidence=0.96)

(ChunkerEvaluator) Sentence #296 from 00101590 from sent26

Text  : Po wybuchu I wojny światowej przybył do Krakowa z zamiarem wstąpienia do Legionów i_ udania się na front ,_ jednak próby te się nie powiodły ._
Tokens: 1_ 2______ 3 4____ 5________ 6______ 7_ 8______ 9 10______ 11________ 12 13______ 14 15____ 16_ 17 18___ 19 20____ 21___ 22 23_ 24_ 25______ 26

Chunks:
  TruePositive nam [3,5] = I wojny światowej (confidence=1.00)
  TruePositive nam [8,8] = Krakowa (confidence=1.00)
  TruePositive nam [13,13] = Legionów (confidence=0.71)

(ChunkerEvaluator) Sentence #297 from 00101590 from sent27

Text  : Żeromski postanowił zamieszkać w Zakopanem .
Tokens: 1_______ 2_________ 3_________ 4 5________ 6

Chunks:
  TruePositive nam [1,1] = Żeromski (confidence=0.98)
  TruePositive nam [5,5] = Zakopanem (confidence=1.00)

(ChunkerEvaluator) Sentence #298 from 00101590 from sent28

Text  : Podczas pobytu w tym mieście brał aktywny udział w życiu kulturalnym ._
Tokens: 1______ 2_____ 3 4__ 5______ 6___ 7______ 8_____ 9 10___ 11_________ 12

Chunks:

(ChunkerEvaluator) Sentence #299 from 00101590 from sent29

Text  : Uczestniczył również w działalności Naczelnego Komitetu Zakopiańskiego , który był oddziałem Naczelnego Komitetu Narodowego ._
Tokens: 1___________ 2______ 3 4___________ 5_________ 6_______ 7_____________ 8 9____ 10_ 11_______ 12________ 13______ 14________ 15

Chunks:
  TruePositive nam [5,7] = Naczelnego Komitetu Zakopiańskiego (confidence=1.00)
  TruePositive nam [12,14] = Naczelnego Komitetu Narodowego (confidence=1.00)

(ChunkerEvaluator) Sentence #300 from 00101590 from sent30

Text  : W 1918 r . pełnił funkcję prezydenta Rzeczpospolitej Zakopiańskiej ._
Tokens: 1 2___ 3 4 5_____ 6______ 7_________ 8______________ 9____________ 10

Chunks:
  TruePositive nam [8,9] = Rzeczpospolitej Zakopiańskiej (confidence=1.00)

2017-06-14 20:24:21,861 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 19 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101614.xml
(ChunkerEvaluator) Sentence #301 from 00101614 from sent1

Text  : — Powiedz mi , proszę , kto zwyciężył ?
Tokens: 1 2______ 3_ 4 5_____ 6 7__ 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #302 from 00101614 from sent2

Text  : — zagadnął Pejsidoros jednego z nich .
Tokens: 1 2_______ 3_________ 4______ 5 6___ 7

Chunks:
  TruePositive nam [3,3] = Pejsidoros (confidence=1.00)

(ChunkerEvaluator) Sentence #303 from 00101614 from sent3

Text  : — Nie widział eś , to żałuj !
Tokens: 1 2__ 3______ 4_ 5 6_ 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #304 from 00101614 from sent4

Text  : — odparł tamten .
Tokens: 1 2_____ 3_____ 4

Chunks:

(ChunkerEvaluator) Sentence #305 from 00101614 from sent5

Text  : — Przygodziła się bowiem rzecz niebywała .
Tokens: 1 2__________ 3__ 4_____ 5____ 6________ 7

Chunks:

(ChunkerEvaluator) Sentence #306 from 00101614 from sent6

Text  : Klacz Fejdolosa Koryntianina , przezwiskiem Aura , wybiła się naprzód ._
Tokens: 1____ 2________ 3___________ 4 5___________ 6___ 7 8_____ 9__ 10_____ 11

Chunks:
  TruePositive nam [2,3] = Fejdolosa Koryntianina (confidence=0.95)
  TruePositive nam [6,6] = Aura (confidence=1.00)

(ChunkerEvaluator) Sentence #307 from 00101614 from sent7

Text  : Jechał na niej Fejdolosów brat młodszy .
Tokens: 1_____ 2_ 3___ 4_________ 5___ 6______ 7

Chunks:
  FalsePositive nam [4,4] = Fejdolosów (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #308 from 00101614 from sent8

Text  : Ten , mijając pędem „ ołtarz popłochu końskiego ” ,_ wiesz ,_ tam na zakręcie ,_ zwalił się z_ siodła ._
Tokens: 1__ 2 3______ 4____ 5 6_____ 7_______ 8________ 9 10 11___ 12 13_ 14 15______ 16 17____ 18_ 19 20____ 21

Chunks:

(ChunkerEvaluator) Sentence #309 from 00101614 from sent9

Text  : Lecz Aura nie czekała aż się podniesie , jeno bez jeźdźca gnała dalej ,_ aż do celu przyszła pierwsza ._
Tokens: 1___ 2___ 3__ 4______ 5_ 6__ 7________ 8 9___ 10_ 11_____ 12___ 13___ 14 15 16 17__ 18______ 19______ 20

Chunks:
  TruePositive nam [2,2] = Aura (confidence=1.00)

(ChunkerEvaluator) Sentence #310 from 00101614 from sent10

Text  : Tu zatrzymała się przed hellanodikami .
Tokens: 1_ 2_________ 3__ 4____ 5____________ 6

Chunks:

(ChunkerEvaluator) Sentence #311 from 00101614 from sent11

Text  : Oni przeto zwycięstwo jej przyznali .
Tokens: 1__ 2_____ 3_________ 4__ 5________ 6

Chunks:

(ChunkerEvaluator) Sentence #312 from 00101614 from sent12

Text  : — I słusznie — odrzekł Pejsidoros .
Tokens: 1 2 3_______ 4 5______ 6_________ 7

Chunks:
  TruePositive nam [6,6] = Pejsidoros (confidence=1.00)

(ChunkerEvaluator) Sentence #313 from 00101614 from sent13

Text  : — Toć na wyścigach koń nagrodę bierze , nie jeździec ._
Tokens: 1 2__ 3_ 4________ 5__ 6______ 7_____ 8 9__ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #314 from 00101614 from sent14

Text  : Nie bez trudu zdołali sobie zdobyć dwa siedzenia w górnych rzędach ,_ w_ połowie mniej więcej północnego nasypu ,_ co hipodrom oddzielał od stadionu ._
Tokens: 1__ 2__ 3____ 4______ 5____ 6_____ 7__ 8________ 9 10_____ 11_____ 12 13 14_____ 15___ 16____ 17________ 18____ 19 20 21______ 22_______ 23 24______ 25

Chunks:

(ChunkerEvaluator) Sentence #315 from 00101614 from sent15

Text  : Siedli tedy wprost powyżej hellanodików , a metę mieli naprzeciwko ,_ w_ dole ._
Tokens: 1_____ 2___ 3_____ 4______ 5___________ 6 7 8___ 9____ 10_________ 11 12 13__ 14

Chunks:

(ChunkerEvaluator) Sentence #316 from 00101614 from sent16

Text  : Jak na dłoni widzieli przed sobą hipodrom w całej długości od zaokrąglonego końca na wschodzie ,_ kędy była brama główna ,_ i_ miejsce na zakręcie „_ popłochem końskim ”_ zwane ,_ aż po zachodni portyk Agnaptosa ,_ gdzie ustawione były szranki wyjazdowe ._
Tokens: 1__ 2_ 3____ 4_______ 5____ 6___ 7_______ 8 9____ 10______ 11 12___________ 13___ 14 15_______ 16 17__ 18__ 19___ 20____ 21 22 23_____ 24 25______ 26 27_______ 28_____ 29 30___ 31 32 33 34______ 35____ 36_______ 37 38___ 39_______ 40__ 41_____ 42_______ 43

Chunks:
  TruePositive nam [36,36] = Agnaptosa (confidence=1.00)

(ChunkerEvaluator) Sentence #317 from 00101614 from sent17

Text  : W szumnym rozgwarze nieprzejrzanych tłumów , co roiły się wszędzie na nasypach ,_ jął Pejsidoros ,_ nachyliwszy się ku matce ,_ objaśniać jej półgłosem rozkład hipodromu i_ urządzenia wyścigowe ._
Tokens: 1 2______ 3________ 4______________ 5_____ 6 7_ 8____ 9__ 10______ 11 12______ 13 14_ 15________ 16 17_________ 18_ 19 20___ 21 22_______ 23_ 24_______ 25_____ 26_______ 27 28________ 29_______ 30

Chunks:
  TruePositive nam [15,15] = Pejsidoros (confidence=1.00)

(ChunkerEvaluator) Sentence #318 from 00101614 from sent18

Text  : — Stamtąd wyruszą — mówił ukazując jej szranki .
Tokens: 1 2______ 3______ 4 5____ 6_______ 7__ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #319 from 00101614 from sent19

Text  : — A jakoż to — pytała — przed wyjazdem zrównają się w_ jeden szereg ,_ skoro szranki one tak dziwnie postawiono ?_
Tokens: 1 2 3____ 4_ 5 6_____ 7 8____ 9_______ 10______ 11_ 12 13___ 14____ 15 16___ 17_____ 18_ 19_ 20_____ 21________ 22

Chunks:

(ChunkerEvaluator) Sentence #320 from 00101614 from sent20

Text  : Wszak tam dwa stanowiska środkowe najbardziej są naprzód wysunięte ,_ a_ następne ,_ im dalej po bokach ,_ tym bardziej ku tyłowi cofnięte ._
Tokens: 1____ 2__ 3__ 4_________ 5_______ 6__________ 7_ 8______ 9________ 10 11 12______ 13 14 15___ 16 17____ 18 19_ 20______ 21 22____ 23______ 24

Chunks:

(ChunkerEvaluator) Sentence #321 from 00101614 from sent21

Text  : — To urządzenie — odpowiedział — służy właśnie do tym łacniejszego uszykowania wozów w_ jeden rząd ._
Tokens: 1 2_ 3_________ 4 5___________ 6 7____ 8______ 9_ 10_ 11__________ 12_________ 13___ 14 15___ 16__ 17

Chunks:

(ChunkerEvaluator) Sentence #322 from 00101614 from sent22

Text  : Ci dwaj na stanowiskach środkowych nie ruszą się wcale ._
Tokens: 1_ 2___ 3_ 4___________ 5_________ 6__ 7____ 8__ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #323 from 00101614 from sent23

Text  : Dwaj następni z obu stron , gdy opadną sznury zagradzające im drogę ,_ podjadą nieco ,_ aż w_ równi staną z_ pierwszymi ._
Tokens: 1___ 2_______ 3 4__ 5____ 6 7__ 8_____ 9_____ 10__________ 11 12___ 13 14_____ 15___ 16 17 18 19___ 20___ 21 22________ 23

Chunks:

(ChunkerEvaluator) Sentence #324 from 00101614 from sent24

Text  : Potem z obu stron wyruszy znowu dalsza para i zrówna się też do szeregu ._
Tokens: 1____ 2 3__ 4____ 5______ 6____ 7_____ 8___ 9 10____ 11_ 12_ 13 14_____ 15

Chunks:

(ChunkerEvaluator) Sentence #325 from 00101614 from sent25

Text  : Tak podjeżdżać będą kolejno , póki się wszyscy nie uszykują równo jak pod włos ._
Tokens: 1__ 2_________ 3___ 4______ 5 6___ 7__ 8______ 9__ 10______ 11___ 12_ 13_ 14__ 15

Chunks:

(ChunkerEvaluator) Sentence #326 from 00101614 from sent26

Text  : — A którędyż pojadą ?
Tokens: 1 2 3_______ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #327 from 00101614 from sent27

Text  : — Widziszli tam na środku w połowie hipodromu wielki on posąg Hippodamei ?_
Tokens: 1 2________ 3__ 4_ 5_____ 6 7______ 8________ 9_____ 10 11___ 12________ 13

Chunks:
  TruePositive nam [12,12] = Hippodamei (confidence=0.97)

2017-06-14 20:24:21,962 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 20 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101755.xml
(ChunkerEvaluator) Sentence #328 from 00101755 from sent1

Text  : Głowi się taki Benkler , jak tu pomóc biednym krajom w_ tworzeniu odpowiednich roślin ,_ wymyśla peer production ,_ dzielenie się licencjami przez uniwersytety ,_ udostępnianie nasion ,_ które i_ tak się na nic krajom rozwiniętym nie przydadzą ,_ a_ tymczasem władze Wrocławia znalazły nowy ,_ lepszy sposób ._
Tokens: 1____ 2__ 3___ 4______ 5 6__ 7_ 8____ 9______ 10____ 11 12_______ 13__________ 14____ 15 16_____ 17__ 18________ 19 20_______ 21_ 22________ 23___ 24__________ 25 26___________ 27____ 28 29___ 30 31_ 32_ 33 34_ 35____ 36_________ 37_ 38_______ 39 40 41_______ 42____ 43_______ 44______ 45__ 46 47____ 48____ 49

Chunks:
  TruePositive nam [4,4] = Benkler (confidence=1.00)
  TruePositive nam [43,43] = Wrocławia (confidence=0.99)

(ChunkerEvaluator) Sentence #329 from 00101755 from sent2

Text  : Obejmuje on płacenie wiedzą za głosy krajów biednych niezbędne do organizacji wielkich imprez ._
Tokens: 1_______ 2_ 3_______ 4_____ 5_ 6____ 7_____ 8_______ 9________ 10 11_________ 12______ 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #330 from 00101755 from sent3

Text  : Wrocławscy naukowcy z Uniwersytetu Przyrodniczego opracowują specjalne odmiany ziemniaków dla Madagaskaru -_ w_ zamian za głos tego kraju w_ wyborach organizatora EXPO 2012 ._
Tokens: 1_________ 2_______ 3 4___________ 5_____________ 6_________ 7________ 8______ 9_________ 10_ 11_________ 12 13 14____ 15 16__ 17__ 18___ 19 20______ 21__________ 22__ 23__ 24

Chunks:
  TruePositive nam [4,5] = Uniwersytetu Przyrodniczego (confidence=1.00)
  TruePositive nam [11,11] = Madagaskaru (confidence=1.00)
  TruePositive nam [22,23] = EXPO 2012 (confidence=0.89)

(ChunkerEvaluator) Sentence #331 from 00101755 from sent4

Text  : Dotychczas podobny proces miał oczywiście miejsce - chociaż większość krajów bogatych stawiała raczej na rozdawanie mercedesów ,_ wycieczek lub wiz bezpośrednio głosującym ,_ zamiast płacić krajowi ,_ z_ którego pochodzili ._
Tokens: 1_________ 2______ 3_____ 4___ 5_________ 6______ 7 8______ 9________ 10____ 11______ 12______ 13____ 14 15________ 16________ 17 18_______ 19_ 20_ 21__________ 22________ 23 24_____ 25____ 26_____ 27 28 29_____ 30________ 31

Chunks:
  FalseNegative nam [16,16] = mercedesów

(ChunkerEvaluator) Sentence #332 from 00101755 from sent5

Text  : Teraz jednak można ustanowić specjalny cennik - głos na letnie igrzyska -_ zezwolenie na produkcję generyków potrzebnych w_ leczeniu AIDS lub podjęcie prac nad szczepionką na malarię ,_ igrzyska zimowe -_ licencja na produkcję nasion specjalnych odmian ryżu lub pszenicy ,_ EXPO -_ specjalna odmiana ziemniaka lub kapusty ,_ małe EXPO -_ licencja na groszek ozdobny lub sałatę ._
Tokens: 1____ 2_____ 3____ 4________ 5________ 6_____ 7 8___ 9_ 10____ 11______ 12 13________ 14 15_______ 16_______ 17_________ 18 19______ 20__ 21_ 22______ 23__ 24_ 25_________ 26 27_____ 28 29______ 30____ 31 32______ 33 34_______ 35____ 36_________ 37____ 38__ 39_ 40______ 41 42__ 43 44_______ 45_____ 46_______ 47_ 48_____ 49 50__ 51__ 52 53______ 54 55_____ 56_____ 57_ 58____ 59

Chunks:
  TruePositive nam [20,20] = AIDS (confidence=0.97)
  TruePositive nam [42,42] = EXPO (confidence=0.99)
  TruePositive nam [51,51] = EXPO (confidence=0.83)

(ChunkerEvaluator) Sentence #333 from 00101755 from sent6

Text  : PIPRA , CGIAR i BIOS przestaną być potrzebne , jest tyle krajów ,_ których głosy można kupić przed każdą ważną imprezą (_ a_ można przecież wprowadzić głosowanie na organizatorów mistrzostw świata w_ piłce nożnej itp ._ )_ ,_ że prace nad żywnością i_ lekami w_ krajach rozwijających się wreszcie nabiorą tempa ._
Tokens: 1____ 2 3____ 4 5___ 6________ 7__ 8________ 9 10__ 11__ 12____ 13 14_____ 15___ 16___ 17___ 18___ 19___ 20___ 21_____ 22 23 24___ 25______ 26________ 27________ 28 29___________ 30________ 31____ 32 33___ 34____ 35_ 36 37 38 39 40___ 41_ 42_______ 43 44____ 45 46_____ 47___________ 48_ 49______ 50_____ 51___ 52

Chunks:
  FalsePositive nam [1,1] = PIPRA (confidence=0.97) (incorrect boundry)
  FalsePositive nam [3,3] = CGIAR (confidence=1.00) (incorrect boundry)
  FalsePositive nam [5,5] = BIOS (confidence=0.99) (incorrect boundry)
  FalsePositive nam [30,36] = mistrzostw świata w piłce nożnej itp . (confidence=0.98) (incorrect boundry)

(ChunkerEvaluator) Sentence #334 from 00101755 from sent7

Text  : Oczywiście plan Wrocławia ma słaby punkt - ziemniaki , ziemniakami ,_ ale przedstawiciel Madagaskaru za hyundaia może przecież pomylić przyciski ._ ._ ._
Tokens: 1_________ 2___ 3________ 4_ 5____ 6____ 7 8________ 9 10_________ 11 12_ 13____________ 14_________ 15 16______ 17__ 18______ 19_____ 20_______ 21 22 23

Chunks:
  TruePositive nam [3,3] = Wrocławia (confidence=0.99)
  TruePositive nam [14,14] = Madagaskaru (confidence=1.00)
  FalseNegative nam [16,16] = hyundaia

2017-06-14 20:24:22,031 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 21 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101817.xml
(ChunkerEvaluator) Sentence #335 from 00101817 from sent1

Text  : Podobnie jak w przypadku wyrażania żalu , również manifestowanie niezadowolenia nie było praktyką ,_ którą użytkownicy podejmowali masowo ._
Tokens: 1_______ 2__ 3 4________ 5________ 6___ 7 8______ 9_____________ 10____________ 11_ 12__ 13______ 14 15___ 16_________ 17_________ 18____ 19

Chunks:

(ChunkerEvaluator) Sentence #336 from 00101817 from sent2

Text  : Na pytanie „ Czy Ty manifestował eś ( aś )_ jakoś niezadowolenie ?_ ”_
Tokens: 1_ 2______ 3 4__ 5_ 6___________ 7_ 8 9_ 10 11___ 12____________ 13 14

Chunks:
  FalsePositive nam [5,5] = Ty (confidence=0.56) (incorrect boundry)

(ChunkerEvaluator) Sentence #337 from 00101817 from sent3

Text  : „ Tak ” odpowiedziało 93 respondentów ( 29 , 1_ %_ ogółu )_ ,_ w_ tym 84 używających Facebooka (_ 35 %_ z_ ogółu badanych użytkowników tego serwisu )_ i_ 9_ naszej -_ klasy (_ 11 ,_ 3_ %_ z_ ogółu respondentów z_ nk )_ (_ zaznacza się zatem wyraźna przewaga użytkowników Fb –_ 90 %_ manifestujących )_ ._
Tokens: 1 2__ 3 4____________ 5_ 6___________ 7 8_ 9 10 11 12___ 13 14 15 16_ 17 18_________ 19_______ 20 21 22 23 24___ 25______ 26__________ 27__ 28_____ 29 30 31 32____ 33 34___ 35 36 37 38 39 40 41___ 42__________ 43 44 45 46 47______ 48_ 49___ 50_____ 51______ 52__________ 53 54 55 56 57_____________ 58 59

Chunks:
  TruePositive nam [19,19] = Facebooka (confidence=1.00)
  TruePositive nam [53,53] = Fb (confidence=0.98)
  FalseNegative nam [32,34] = naszej - klasy
  FalseNegative nam [44,44] = nk

(ChunkerEvaluator) Sentence #338 from 00101817 from sent4

Text  : Najwięcej osób dyskutowało na tematy powodujące niezadowolenie – 53 (_ 57 %_ z_ ogółu protestujących i_ 12 ,_ 8_ %_ z_ ogółu respondentów )_ ,_ jak również przynależało do grup składających się z_ niezadowolonych –_ 45 (_ 48 ,_ 4_ %_ i_ 10 ,_ 9_ %_ )_ ._
Tokens: 1________ 2___ 3__________ 4_ 5_____ 6_________ 7_____________ 8 9_ 10 11 12 13 14___ 15____________ 16 17 18 19 20 21 22___ 23__________ 24 25 26_ 27_____ 28__________ 29 30__ 31__________ 32_ 33 34_____________ 35 36 37 38 39 40 41 42 43 44 45 46 47 48

Chunks:

(ChunkerEvaluator) Sentence #339 from 00101817 from sent5

Text  : Pozostałe czynności podejmowało : „ publikacja opisów wyrażających niezadowolenie ”_ –_ 34 (_ 36 ,_ 6_ %_ i_ 8_ ,_ 5_ %_ )_ ;_ „_ pisanie innym żartów na temat katastrofy ”_ –_ 15 (_ 16 ,_ 1_ %_ i_ 3_ ,_ 6_ %_ )_ ;_ „_ zamieszczenie zdjęcia mającego wyrazić niezadowolenie ”_ –_ 4_ (_ 4_ ,_ 3_ %_ i_ 1_ ,_ 2_ %_ )_ ;_ „_ inne ”_ czynności –_ 8_ (_ 8_ ,_ 6_ %_ i_ 1_ ,_ 9_ %_ )_ [_ 1_ ]_ ._
Tokens: 1________ 2________ 3__________ 4 5 6_________ 7_____ 8___________ 9_____________ 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26_____ 27___ 28____ 29 30___ 31________ 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48___________ 49_____ 50______ 51_____ 52____________ 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69__ 70 71_______ 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88

Chunks:

(ChunkerEvaluator) Sentence #340 from 00101817 from sent6

Text  : Co ciekawe , niezadowolenie wyrażało więcej mężczyzn , a także osób starszych (_ powyżej 26 roku życia )_ ._
Tokens: 1_ 2______ 3 4_____________ 5_______ 6_____ 7_______ 8 9 10___ 11__ 12_______ 13 14_____ 15 16__ 17___ 18 19

Chunks:

(ChunkerEvaluator) Sentence #341 from 00101817 from sent7

Text  : Warto jeszcze raz podkreślić , że mimo iż niezadowolenie nie było wyrażane przez większość użytkowników ,_ było dość widoczne ._
Tokens: 1____ 2______ 3__ 4_________ 5 6_ 7___ 8_ 9_____________ 10_ 11__ 12______ 13___ 14_______ 15__________ 16 17__ 18__ 19______ 20

Chunks:

(ChunkerEvaluator) Sentence #342 from 00101817 from sent8

Text  : Na pytanie „ Czy zetknął eś ( ęłaś ) się z_ niezadowoleniem wyrażanym na portalu ,_ a_ związanym z_ katastrofą smoleńską ?_
Tokens: 1_ 2______ 3 4__ 5______ 6_ 7 8___ 9 10_ 11 12_____________ 13_______ 14 15_____ 16 17 18_______ 19 20________ 21_______ 22

Chunks:
  FalseNegative nam [20,21] = katastrofą smoleńską

(ChunkerEvaluator) Sentence #343 from 00101817 from sent9

Text  : Jeśli tak , czym owo niezadowolenie było spowodowane ? ”_ odpowiedź „_ nie zetknął em (_ ęłam )_ się z_ niezadowoleniem ”_ wybrało 91 osób (_ 22 %_ ogółu badanych )_ ._
Tokens: 1____ 2__ 3 4___ 5__ 6_____________ 7___ 8__________ 9 10 11_______ 12 13_ 14_____ 15 16 17__ 18 19_ 20 21_____________ 22 23_____ 24 25__ 26 27 28 29___ 30______ 31 32

Chunks:

(ChunkerEvaluator) Sentence #344 from 00101817 from sent10

Text  : Pozostali wybrali jeden z proponowanych powodów , przy czym widać ,_ że jeśli chodzi o_ Facebooka ,_ więcej użytkowników dostrzegało niezadowolenie z_ większej ilości rzeczy naraz ._
Tokens: 1________ 2______ 3____ 4 5____________ 6______ 7 8___ 9___ 10___ 11 12 13___ 14____ 15 16_______ 17 18____ 19__________ 20_________ 21____________ 22 23______ 24____ 25____ 26___ 27

Chunks:
  TruePositive nam [16,16] = Facebooka (confidence=0.98)

(ChunkerEvaluator) Sentence #345 from 00101817 from sent11

Text  : Poza tym , zdecydowanie więcej osób dostrzegało je właśnie na tym portalu (_ wszystkie jego przejawy )_ ,_ co jest kolejnym dowodem ,_ że to właśnie na Fb przejawiało się ono bardziej niż na naszej-klasie.pl ._
Tokens: 1___ 2__ 3 4___________ 5_____ 6___ 7__________ 8_ 9______ 10 11_ 12_____ 13 14_______ 15__ 16______ 17 18 19 20__ 21______ 22_____ 23 24 25 26_____ 27 28 29_________ 30_ 31_ 32______ 33_ 34 35______________ 36

Chunks:
  TruePositive nam [28,28] = Fb (confidence=0.98)
  TruePositive nam [35,35] = naszej-klasie.pl (confidence=0.66)

(ChunkerEvaluator) Sentence #346 from 00101817 from sent12

Text  : Ostatecznym tego potwierdzeniem jest to , że w przypadku wszystkich aktywności związanych z_ wyrażaniem niezadowolenia ,_ ludzie używający Fb byli bardziej aktywni ,_ niż ci korzystający z_ nk ._
Tokens: 1__________ 2___ 3_____________ 4___ 5_ 6 7_ 8 9________ 10________ 11________ 12________ 13 14________ 15____________ 16 17____ 18_______ 19 20__ 21______ 22_____ 23 24_ 25 26__________ 27 28 29

Chunks:
  TruePositive nam [19,19] = Fb (confidence=0.95)
  FalseNegative nam [28,28] = nk

(ChunkerEvaluator) Sentence #347 from 00101817 from sent13

Text  : Chcąc dokładniej zbadać uświadomione motywacje manifestowania niezadowolenia , zadano użytkownikom dwa pytania :_ „_ Dlaczego zdecydował eś (_ aś )_ się wyrazić swoje niezadowolenie na portalu ?_ ”_ i_ „_ Dlaczego inni użytkownicy manifestowali swoje niezadowolenie na portalu ?_ ”_ ._
Tokens: 1____ 2_________ 3_____ 4___________ 5________ 6_____________ 7_____________ 8 9_____ 10__________ 11_ 12_____ 13 14 15______ 16________ 17 18 19 20 21_ 22_____ 23___ 24____________ 25 26_____ 27 28 29 30 31______ 32__ 33_________ 34___________ 35___ 36____________ 37 38_____ 39 40 41

Chunks:

(ChunkerEvaluator) Sentence #348 from 00101817 from sent14

Text  : Pierwsze skierowane było do tych , którzy przyznali się do wyrażania niezadowolenia –_ odpowiedziało na nie 91 osób (_ z_ 93 ,_ którzy manifestowali )_ ,_ na drugie (_ skierowane do wszystkich )_ odpowiedziało 312 z_ 412 respondentów biorących udział w_ badaniu ._
Tokens: 1_______ 2_________ 3___ 4_ 5___ 6 7_____ 8________ 9__ 10 11_______ 12____________ 13 14___________ 15 16_ 17 18__ 19 20 21 22 23____ 24___________ 25 26 27 28____ 29 30________ 31 32________ 33 34___________ 35_ 36 37_ 38__________ 39_______ 40____ 41 42_____ 43

Chunks:

(ChunkerEvaluator) Sentence #349 from 00101817 from sent15

Text  : Podobnie jak w przypadku żalu , przeanalizowawszy wszystkie odpowiedzi ,_ autor wyodrębnił różne kategorie kodowe :_
Tokens: 1_______ 2__ 3 4________ 5___ 6 7________________ 8________ 9_________ 10 11___ 12________ 13___ 14_______ 15____ 16

Chunks:

(ChunkerEvaluator) Sentence #350 from 00101817 from sent16

Text  : - komunikacja ze wspólnotą ( tak samo jak przy żalu ,_ do tej kategorii zaliczono wypowiedzi ,_ które dotyczyły :_ budowania solidarności i_ więzi z_ innymi ;_ dzielenia się własnymi odczuciami i_ przemyśleniami ;_ mówienia o_ tym ,_ że było ono łatwe dzięki Sieci )_ ,_
Tokens: 1 2__________ 3_ 4________ 5 6__ 7___ 8__ 9___ 10__ 11 12 13_ 14_______ 15_______ 16________ 17 18___ 19_______ 20 21_______ 22__________ 23 24___ 25 26____ 27 28_______ 29_ 30______ 31________ 32 33____________ 34 35______ 36 37_ 38 39 40__ 41_ 42___ 43____ 44___ 45 46

Chunks:
  FalsePositive nam [44,44] = Sieci (confidence=0.86) (incorrect boundry)

(ChunkerEvaluator) Sentence #351 from 00101817 from sent17

Text  : - Wawel ( manifestowanie jako reakcja na pomysł pochówku pary prezydenckiej na Wawelu )_ ,_
Tokens: 1 2____ 3 4_____________ 5___ 6______ 7_ 8_____ 9_______ 10__ 11___________ 12 13____ 14 15

Chunks:
  TruePositive nam [2,2] = Wawel (confidence=0.94)
  TruePositive nam [13,13] = Wawelu (confidence=1.00)

(ChunkerEvaluator) Sentence #352 from 00101817 from sent18

Text  : - fałszywość ( podkreślanie , że manifestowanie niezadowolenia było spowodowane nieszczerością żałoby oraz hipokryzją związaną z_ nagłą zmianą poglądów politycznych czy też specyficzną (_ sentymentalną )_ mentalnością narodową [_ podobnie jak poprzednio ]_ )_ ,_
Tokens: 1 2_________ 3 4___________ 5 6_ 7_____________ 8_____________ 9___ 10_________ 11____________ 12____ 13__ 14________ 15______ 16 17___ 18____ 19______ 20__________ 21_ 22_ 23_________ 24 25___________ 26 27__________ 28______ 29 30______ 31_ 32________ 33 34 35

Chunks:

(ChunkerEvaluator) Sentence #353 from 00101817 from sent19

Text  : - przesada ( twierdzenie , że manifestowanie niezadowolenia wynikało z_ przesadnego żalu po katastrofie [_ chodzi o_ przesadne reakcje ludzi ]_ )_ ,_
Tokens: 1 2_______ 3 4__________ 5 6_ 7_____________ 8_____________ 9_______ 10 11_________ 12__ 13 14_________ 15 16____ 17 18_______ 19_____ 20___ 21 22 23

Chunks:

(ChunkerEvaluator) Sentence #354 from 00101817 from sent20

Text  : - media ( manifestowanie jako reakcja na to , co działo się w_ mediach ,_ które przesadzały w_ ciągłym ukazywaniu tragedii (_ w_ patetyczny sposób )_ czy zmieniały ramówkę ;_ wskazywanie na niedemokratyczne podejście mediów –_ pokazywanie tylko jednej strony medalu –_ tłumienie „_ głosów niezadowolonych ”_ )_ ,_
Tokens: 1 2____ 3 4_____________ 5___ 6______ 7_ 8_ 9 10 11____ 12_ 13 14_____ 15 16___ 17_________ 18 19_____ 20________ 21______ 22 23 24________ 25____ 26 27_ 28_______ 29_____ 30 31_________ 32 33______________ 34_______ 35____ 36 37_________ 38___ 39____ 40____ 41____ 42 43_______ 44 45____ 46_____________ 47 48 49

Chunks:

(ChunkerEvaluator) Sentence #355 from 00101817 from sent21

Text  : - niepotrzebność ( podkreślanie absurdalności zachowań ludzkich związanych z katastrofą ;_ krytyka „_ masowej histerii ”_ ,_ śmieszności wyrażania żalu )_ ,_
Tokens: 1 2_____________ 3 4___________ 5____________ 6_______ 7_______ 8_________ 9 10________ 11 12_____ 13 14_____ 15______ 16 17 18_________ 19_______ 20__ 21 22

Chunks:

(ChunkerEvaluator) Sentence #356 from 00101817 from sent22

Text  : - nieokreślone ( wypowiedzi typu : „ bo mieli taką potrzebę ”_ ,_ „_ chęć zmiany czegoś ”_ ,_ „_ bycie przeciwko czemuś ”_ ;_ podkreślanie wewnętrznych impulsów ;_ inne powody )_ ,_
Tokens: 1 2___________ 3 4_________ 5___ 6 7 8_ 9____ 10__ 11______ 12 13 14 15__ 16____ 17____ 18 19 20 21___ 22_______ 23____ 24 25 26__________ 27__________ 28______ 29 30__ 31____ 32 33

Chunks:

(ChunkerEvaluator) Sentence #357 from 00101817 from sent23

Text  : - neutralne ( odpowiedzi zdawkowe , neutralne [ na przykład „_ nie wiem ”_ ]_ )_ ,_
Tokens: 1 2________ 3 4_________ 5_______ 6 7________ 8 9_ 10______ 11 12_ 13__ 14 15 16 17

Chunks:

(ChunkerEvaluator) Sentence #358 from 00101817 from sent24

Text  : - obrażanie ( potraktowanie niezadowolenia jako świadczącego o złych intencjach bądź negatywnych cechach manifestujących ._
Tokens: 1 2________ 3 4____________ 5_____________ 6___ 7___________ 8 9____ 10________ 11__ 12_________ 13_____ 14_____________ 15

Chunks:

2017-06-14 20:24:22,215 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 22 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101844.xml
(ChunkerEvaluator) Sentence #359 from 00101844 from sent1

Text  : Pisząc kilka dni temu o nowej wersji Firefoksa skupił em się na kwestii otwartości ,_ pomijając funkcjonalności atrakcje przemawiające za korzystaniem z_ tej przeglądarki ._
Tokens: 1_____ 2____ 3__ 4___ 5 6____ 7_____ 8________ 9_____ 10 11_ 12 13_____ 14________ 15 16_______ 17_____________ 18______ 19___________ 20 21__________ 22 23_ 24__________ 25

Chunks:
  FalseNegative nam [8,8] = Firefoksa

(ChunkerEvaluator) Sentence #360 from 00101844 from sent2

Text  : Zmienił em zdanie - jedna z nich zasługuje na uwagę :_
Tokens: 1______ 2_ 3_____ 4 5____ 6 7___ 8________ 9_ 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #361 from 00101844 from sent3

Text  : Do najnowszej polskiej edycji tej przeglądarki włączono dodatek pozwalający na wyszukiwanie w_ Federacji Bibliotek Cyfrowych (_ FBC ,_ http://fbc.pionier.net.pl/ )_ równie łatwo ,_ jak w_ przypadku dostępnych w_ poprzednich wersjach Firefoxa wyszukiwarkach Google czy Wikipedia ._
Tokens: 1_ 2_________ 3_______ 4_____ 5__ 6___________ 7_______ 8______ 9__________ 10 11__________ 12 13_______ 14_______ 15_______ 16 17_ 18 19________________________ 20 21____ 22___ 23 24_ 25 26_______ 27________ 28 29_________ 30______ 31______ 32____________ 33____ 34_ 35_______ 36

Chunks:
  TruePositive nam [13,15] = Federacji Bibliotek Cyfrowych (confidence=1.00)
  TruePositive nam [17,17] = FBC (confidence=0.99)
  TruePositive nam [19,19] = http://fbc.pionier.net.pl/ (confidence=0.52)
  TruePositive nam [33,33] = Google (confidence=0.99)
  TruePositive nam [35,35] = Wikipedia (confidence=1.00)
  FalseNegative nam [31,31] = Firefoxa

(ChunkerEvaluator) Sentence #362 from 00101844 from sent4

Text  : Oznacza to , że w polu wyszukiwania w prawym górnym rogu przeszukiwarki pojawia się standardowo ,_ jako opcja ,_ przeszukiwanie zbiorów polskich bibliotek cyfrowych ._
Tokens: 1______ 2_ 3 4_ 5 6___ 7___________ 8 9_____ 10____ 11__ 12____________ 13_____ 14_ 15_________ 16 17__ 18___ 19 20____________ 21_____ 22______ 23_______ 24_______ 25

Chunks:

(ChunkerEvaluator) Sentence #363 from 00101844 from sent5

Text  : Myślę , że to duża szansa dla popularyzacji tych zasobów ._
Tokens: 1____ 2 3_ 4_ 5___ 6_____ 7__ 8____________ 9___ 10_____ 11

Chunks:

(ChunkerEvaluator) Sentence #364 from 00101844 from sent6

Text  : Gratuluję Federacji , że umieściła interfejs swojej przeszukiwarki w tak kluczowym miejscu -_ a_ ekipie polskiej wersji Firefoksa mądrej decyzji ._
Tokens: 1________ 2________ 3 4_ 5________ 6________ 7_____ 8_____________ 9 10_ 11_______ 12_____ 13 14 15____ 16______ 17____ 18_______ 19____ 20_____ 21

Chunks:
  FalseNegative nam [2,2] = Federacji
  FalseNegative nam [18,18] = Firefoksa

(ChunkerEvaluator) Sentence #365 from 00101844 from sent7

Text  : Dla wyjaśnienia - Federacja nie jest jakimś tworem instytucjonalnym ,_ tylko usługą pozwalającą przeszukiwać poprzez jeden interfejs połączone zbiory polskich bibliotek cyfrowych ._
Tokens: 1__ 2__________ 3 4________ 5__ 6___ 7_____ 8_____ 9_______________ 10 11___ 12____ 13_________ 14__________ 15_____ 16___ 17_______ 18_______ 19____ 20______ 21_______ 22_______ 23

Chunks:
  FalseNegative nam [4,4] = Federacja

(ChunkerEvaluator) Sentence #366 from 00101844 from sent8

Text  : Funkcje te są realizowane w oparciu o otwarte standardy wymiany informacji ,_ takie jak OAI -_ PMH czy OpenSearch ._
Tokens: 1______ 2_ 3_ 4__________ 5 6______ 7 8______ 9________ 10_____ 11________ 12 13___ 14_ 15_ 16 17_ 18_ 19________ 20

Chunks:
  TruePositive nam [15,17] = OAI - PMH (confidence=1.00)
  FalseNegative nam [19,19] = OpenSearch

2017-06-14 20:24:22,260 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 23 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101846.xml
(ChunkerEvaluator) Sentence #367 from 00101846 from sent1

Text  : Internet , a dokładnie takie serwisy , jak MySpace nie jest odpowiedzialny za wychowanie dzieci ,_ orzekł sąd w_ Austin w_ Teksasie ._
Tokens: 1_______ 2 3 4________ 5____ 6______ 7 8__ 9______ 10_ 11__ 12____________ 13 14________ 15____ 16 17____ 18_ 19 20____ 21 22______ 23

Chunks:
  TruePositive nam [1,1] = Internet (confidence=1.00)
  TruePositive nam [9,9] = MySpace (confidence=1.00)
  TruePositive nam [20,20] = Austin (confidence=1.00)
  TruePositive nam [22,22] = Teksasie (confidence=0.99)

(ChunkerEvaluator) Sentence #368 from 00101846 from sent2

Text  : Sprawa dotyczyła trzynastoletniej dziewczynki , która zapisując się do MySpace podała nieprawdziwy wiek ,_ twierdząc że ma 18 lat ._
Tokens: 1_____ 2________ 3_______________ 4__________ 5 6____ 7________ 8__ 9_ 10_____ 11____ 12__________ 13__ 14 15_______ 16 17 18 19_ 20

Chunks:
  TruePositive nam [10,10] = MySpace (confidence=0.96)

(ChunkerEvaluator) Sentence #369 from 00101846 from sent3

Text  : Efektem korespondencji , a potem rozmów z innym uczestnikiem MySpace ,_ 19 -_ letnim chłopakiem doszło do spotkania w_ “_ realu ”_ ._
Tokens: 1______ 2_____________ 3 4 5____ 6_____ 7 8____ 9___________ 10_____ 11 12 13 14____ 15________ 16____ 17 18_______ 19 20 21___ 22 23

Chunks:
  TruePositive nam [10,10] = MySpace (confidence=0.99)

(ChunkerEvaluator) Sentence #370 from 00101846 from sent4

Text  : Kino , kolacja , a potem chłopaka poniosły na parkingu hormony ._
Tokens: 1___ 2 3______ 4 5 6____ 7_______ 8_______ 9_ 10______ 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #371 from 00101846 from sent5

Text  : Sędzia przytomnie stwierdził , że jeśli ktokolwiek jest odpowiedzialny za przygody nastolatki w_ Sieci ,_ to właśnie rodzice ._
Tokens: 1_____ 2_________ 3_________ 4 5_ 6____ 7_________ 8___ 9_____________ 10 11______ 12________ 13 14___ 15 16 17_____ 18_____ 19

Chunks:
  FalsePositive nam [14,14] = Sieci (confidence=0.80) (incorrect boundry)

(ChunkerEvaluator) Sentence #372 from 00101846 from sent6

Text  : Werdykt amerykańskiego sądu powinni przemyśleć także nasi rodzimi krytycy internetu obciążając go winą za wszystkie możliwe zbrodnie współczesnego społeczeństwa i_ demoralizację maluczkich ._
Tokens: 1______ 2_____________ 3___ 4______ 5_________ 6____ 7___ 8______ 9______ 10_______ 11________ 12 13__ 14 15_______ 16_____ 17______ 18___________ 19___________ 20 21___________ 22________ 23

Chunks:
  TruePositive nam [10,10] = internetu (confidence=0.98)

(ChunkerEvaluator) Sentence #373 from 00101846 from sent7

Text  : Cóż , warto pamiętać , że dzieci mają , przynajmniej większość z_ nich ,_ rodziców ._
Tokens: 1__ 2 3____ 4_______ 5 6_ 7_____ 8___ 9 10__________ 11_______ 12 13__ 14 15______ 16

Chunks:

2017-06-14 20:24:22,296 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 24 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101860.xml
(ChunkerEvaluator) Sentence #374 from 00101860 from sent1

Text  : Zapraszamy młodych twórców do czytelni Miejskiej Biblioteki Publicznej w Ozorkowie przy ul ._ Listopadowej 6b w_ środę 11 stycznia 2006 r_ ._ o_ godz ._ 17 :_ 00 ._
Tokens: 1_________ 2______ 3______ 4_ 5_______ 6________ 7_________ 8_________ 9 10_______ 11__ 12 13 14__________ 15 16 17___ 18 19______ 20__ 21 22 23 24__ 25 26 27 28 29

Chunks:
  TruePositive nam [6,8] = Miejskiej Biblioteki Publicznej (confidence=1.00)
  TruePositive nam [10,10] = Ozorkowie (confidence=1.00)
  TruePositive nam [14,14] = Listopadowej (confidence=1.00)

(ChunkerEvaluator) Sentence #375 from 00101860 from sent2

Text  : Będziemy rozmawiać o wierszach i " chwalić się " własnym dorobkiem poetyckim ._
Tokens: 1_______ 2________ 3 4________ 5 6 7______ 8__ 9 10_____ 11_______ 12_______ 13

Chunks:

(ChunkerEvaluator) Sentence #376 from 00101860 from sent3

Text  : Będziemy dyskutować o tym , co nam się w wierszach podoba ,_ a_ co nie ._
Tokens: 1_______ 2_________ 3 4__ 5 6_ 7__ 8__ 9 10_______ 11____ 12 13 14 15_ 16

Chunks:

(ChunkerEvaluator) Sentence #377 from 00101860 from sent4

Text  : A przede wszystkim – będziemy się dobrze bawić .
Tokens: 1 2_____ 3________ 4 5_______ 6__ 7_____ 8____ 9

Chunks:

2017-06-14 20:24:22,314 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 25 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101889.xml
(ChunkerEvaluator) Sentence #378 from 00101889 from sent1

Text  : Nikt nie jest pewien , kto był głównym Bogiem Słowian ,_ ponieważ nasi przodkowie przestawiali Jedynego Boga pod wieloma postaciami ._
Tokens: 1___ 2__ 3___ 4_____ 5 6__ 7__ 8______ 9_____ 10_____ 11 12______ 13__ 14________ 15__________ 16______ 17__ 18_ 19_____ 20________ 21

Chunks:
  TruePositive nam [9,9] = Bogiem (confidence=0.96)
  TruePositive nam [10,10] = Słowian (confidence=0.65)
  FalsePositive nam [17,17] = Boga (confidence=0.80) (incorrect boundry)
  FalseNegative nam [16,17] = Jedynego Boga

(ChunkerEvaluator) Sentence #379 from 00101889 from sent2

Text  : Najbardziej " popularnymi " imionami były Perun oraz Świętowit ._
Tokens: 1__________ 2 3__________ 4 5_______ 6___ 7____ 8___ 9________ 10

Chunks:
  TruePositive nam [7,7] = Perun (confidence=1.00)
  TruePositive nam [9,9] = Świętowit (confidence=1.00)

(ChunkerEvaluator) Sentence #380 from 00101889 from sent3

Text  : W związku z tym , iż nazwa Perun pochodzi od pioruna ,_ większość naukowców uznaje właśnie Peruna jako głównego Boga ._
Tokens: 1 2______ 3 4__ 5 6_ 7____ 8____ 9_______ 10 11_____ 12 13_______ 14_______ 15____ 16_____ 17____ 18__ 19______ 20__ 21

Chunks:
  TruePositive nam [8,8] = Perun (confidence=1.00)
  TruePositive nam [17,17] = Peruna (confidence=1.00)
  TruePositive nam [20,20] = Boga (confidence=1.00)

(ChunkerEvaluator) Sentence #381 from 00101889 from sent4

Text  : Tak więc najogólniej powiedzieć można , iż Perun ( lub Świętowit )_ był znany w_ całej Słowiańszczyźnie niekiedy pod trochę zmienionymi nazwami ._
Tokens: 1__ 2___ 3__________ 4_________ 5____ 6 7_ 8____ 9 10_ 11_______ 12 13_ 14___ 15 16___ 17______________ 18______ 19_ 20____ 21_________ 22_____ 23

Chunks:
  TruePositive nam [8,8] = Perun (confidence=1.00)
  TruePositive nam [11,11] = Świętowit (confidence=0.99)
  TruePositive nam [17,17] = Słowiańszczyźnie (confidence=1.00)

(ChunkerEvaluator) Sentence #382 from 00101889 from sent5

Text  : Jego posąg istniał m . in . w Kijowie już w_ 944 roku ._
Tokens: 1___ 2____ 3______ 4 5 6_ 7 8 9______ 10_ 11 12_ 13__ 14

Chunks:
  TruePositive nam [9,9] = Kijowie (confidence=1.00)

(ChunkerEvaluator) Sentence #383 from 00101889 from sent6

Text  : W 980 jego wyobrażenie ( oraz podobizny innych bogów )_ ustawił ks ._ Włodzimierz ,_ jednak zniszczył je po swym chrzcie w_ 988 r_ ._
Tokens: 1 2__ 3___ 4__________ 5 6___ 7________ 8_____ 9____ 10 11_____ 12 13 14_________ 15 16____ 17_______ 18 19 20__ 21_____ 22 23_ 24 25

Chunks:
  TruePositive nam [14,14] = Włodzimierz (confidence=1.00)

(ChunkerEvaluator) Sentence #384 from 00101889 from sent7

Text  : Sanktuarium Peruna istniało także w okolicy Nowogrodu Wielkiego .
Tokens: 1__________ 2_____ 3_______ 4____ 5 6______ 7________ 8________ 9

Chunks:
  TruePositive nam [1,2] = Sanktuarium Peruna (confidence=0.80)
  TruePositive nam [7,8] = Nowogrodu Wielkiego (confidence=1.00)

(ChunkerEvaluator) Sentence #385 from 00101889 from sent8

Text  : W Polsce ( acz nie całej ) znany był jako Pierun (_ głównie Małopolska )_ ,_ gdyż zmiękczanie liter G_ i_ P_ było tutaj bardzo powszechne ._
Tokens: 1 2_____ 3 4__ 5__ 6____ 7 8____ 9__ 10__ 11____ 12 13_____ 14________ 15 16 17__ 18_________ 19___ 20 21 22 23__ 24___ 25____ 26________ 27

Chunks:
  TruePositive nam [2,2] = Polsce (confidence=1.00)
  TruePositive nam [11,11] = Pierun (confidence=0.99)
  TruePositive nam [14,14] = Małopolska (confidence=0.99)

(ChunkerEvaluator) Sentence #386 from 00101889 from sent9

Text  : Gdzie indziej ( też w Polsce ) nazywano go Pieronem ._
Tokens: 1____ 2______ 3 4__ 5 6_____ 7 8_______ 9_ 10______ 11

Chunks:
  TruePositive nam [6,6] = Polsce (confidence=1.00)
  TruePositive nam [10,10] = Pieronem (confidence=1.00)

(ChunkerEvaluator) Sentence #387 from 00101889 from sent10

Text  : W zasadzie słowo Perun w odniesieniu do Boga było znane na całej Słowiańszczyźnie ,_ lecz były miejsca ,_ gdzie czczono najwyższego pod inną nazwą ._
Tokens: 1 2_______ 3____ 4____ 5 6__________ 7_ 8___ 9___ 10___ 11 12___ 13______________ 14 15__ 16__ 17_____ 18 19___ 20_____ 21_________ 22_ 23__ 24___ 25

Chunks:
  TruePositive nam [4,4] = Perun (confidence=1.00)
  TruePositive nam [8,8] = Boga (confidence=1.00)
  TruePositive nam [13,13] = Słowiańszczyźnie (confidence=1.00)

(ChunkerEvaluator) Sentence #388 from 00101889 from sent11

Text  : Perun był jedynie wcieleniem , jedną z wielu postaci ,_ Najpotężniejszego Świętowita ._
Tokens: 1____ 2__ 3______ 4_________ 5 6____ 7 8____ 9______ 10 11_______________ 12________ 13

Chunks:
  TruePositive nam [1,1] = Perun (confidence=1.00)
  TruePositive nam [11,12] = Najpotężniejszego Świętowita (confidence=0.96)

(ChunkerEvaluator) Sentence #389 from 00101889 from sent12

Text  : Imię Świętowit to skót od Świętowity .
Tokens: 1___ 2________ 3_ 4___ 5_ 6_________ 7

Chunks:
  TruePositive nam [2,2] = Świętowit (confidence=0.98)
  TruePositive nam [6,6] = Świętowity (confidence=0.83)

(ChunkerEvaluator) Sentence #390 from 00101889 from sent13

Text  : W dawnej polszczyźnie powszechne były formy typu zabit , martw ,_ chorowit ._
Tokens: 1 2_____ 3___________ 4_________ 5___ 6____ 7___ 8____ 9 10___ 11 12______ 13

Chunks:

(ChunkerEvaluator) Sentence #391 from 00101889 from sent14

Text  : Tak więc Świętowity to ta sama forma językowa co np ._ chorowity ._
Tokens: 1__ 2___ 3_________ 4_ 5_ 6___ 7____ 8_______ 9_ 10 11 12_______ 13

Chunks:
  TruePositive nam [3,3] = Świętowity (confidence=0.92)

(ChunkerEvaluator) Sentence #392 from 00101889 from sent15

Text  : Czyli Świętowit to po prostu " Ciągle Święty " ._
Tokens: 1____ 2________ 3_ 4_ 5_____ 6 7_____ 8_____ 9 10

Chunks:
  TruePositive nam [2,2] = Świętowit (confidence=0.95)

(ChunkerEvaluator) Sentence #393 from 00101889 from sent16

Text  : Bogiem Jedynym był Świętowit , a inni bogowie są Jego charakterami ._
Tokens: 1_____ 2______ 3__ 4________ 5 6 7___ 8______ 9_ 10__ 11__________ 12

Chunks:
  TruePositive nam [1,2] = Bogiem Jedynym (confidence=0.84)
  TruePositive nam [4,4] = Świętowit (confidence=1.00)

(ChunkerEvaluator) Sentence #394 from 00101889 from sent17

Text  : Czyli gdy Słowianin chciał się pomodlić do Słońca , zwracał się do Świętowita poprzez jego postać -_ Swaroga ._
Tokens: 1____ 2__ 3________ 4_____ 5__ 6_______ 7_ 8_____ 9 10_____ 11_ 12 13________ 14_____ 15__ 16____ 17 18_____ 19

Chunks:
  TruePositive nam [3,3] = Słowianin (confidence=1.00)
  TruePositive nam [8,8] = Słońca (confidence=1.00)
  TruePositive nam [13,13] = Świętowita (confidence=0.99)
  TruePositive nam [18,18] = Swaroga (confidence=0.98)

(ChunkerEvaluator) Sentence #395 from 00101889 from sent18

Text  : Wiele osób twierdzi , iż połabskimi odpowiednikami Peruna byli na przykład Świętowit (_ błędnie nazywany Światowitem ,_ Swantewitem lub ,_ kompletnie ignorancko ,_ Światowidem )_ ._
Tokens: 1____ 2___ 3_______ 4 5_ 6_________ 7_____________ 8_____ 9___ 10 11______ 12_______ 13 14_____ 15______ 16_________ 17 18_________ 19_ 20 21________ 22________ 23 24_________ 25 26

Chunks:
  TruePositive nam [8,8] = Peruna (confidence=1.00)
  TruePositive nam [12,12] = Świętowit (confidence=1.00)
  TruePositive nam [16,16] = Światowitem (confidence=1.00)
  TruePositive nam [18,18] = Swantewitem (confidence=1.00)
  TruePositive nam [24,24] = Światowidem (confidence=0.91)

(ChunkerEvaluator) Sentence #396 from 00101889 from sent19

Text  : Świętowit to bóg wojny i urodzaju Ranów ( jednego z_ plemion połabskich na terenie dzisiejszych Niemiec -_ wyspa Rugia )_ tożsamy z_ Perunem i_ Rugiewitem ._
Tokens: 1________ 2_ 3__ 4____ 5 6_______ 7____ 8 9______ 10 11_____ 12________ 13 14_____ 15__________ 16_____ 17 18___ 19___ 20 21_____ 22 23_____ 24 25________ 26

Chunks:
  TruePositive nam [1,1] = Świętowit (confidence=0.84)
  TruePositive nam [7,7] = Ranów (confidence=0.90)
  TruePositive nam [16,16] = Niemiec (confidence=0.99)
  TruePositive nam [19,19] = Rugia (confidence=0.86)
  TruePositive nam [23,23] = Perunem (confidence=1.00)
  TruePositive nam [25,25] = Rugiewitem (confidence=1.00)

(ChunkerEvaluator) Sentence #397 from 00101889 from sent20

Text  : Głównym ośrodkiem kultu Świętowita była Arkona , gdzie w świątyni znajdował się ogromnych rozmiarów czterogłowy ,_ drewniany posąg z_ rogiem obfitości w_ dłoniach ,_ corocznie napełniany winem w_ trakcie święta zwanego Libacją ._
Tokens: 1______ 2________ 3____ 4_________ 5___ 6_____ 7 8____ 9 10______ 11_______ 12_ 13_______ 14_______ 15_________ 16 17_______ 18___ 19 20____ 21_______ 22 23______ 24 25_______ 26________ 27___ 28 29_____ 30____ 31_____ 32_____ 33

Chunks:
  TruePositive nam [4,4] = Świętowita (confidence=1.00)
  TruePositive nam [6,6] = Arkona (confidence=0.99)
  TruePositive nam [32,32] = Libacją (confidence=0.89)

(ChunkerEvaluator) Sentence #398 from 00101889 from sent21

Text  : W Arkonie istniała słynna wyrocznia , dzięki której kapłan decydował o_ polityce plemienia (_ do wróżb wykorzystywano konia poświęconego bóstwu i_ rzucanie losów )_ ,_ oraz skarbiec świątynny pełniący funkcję skarbu publicznego Ranów (_ zwanych też Rugianami )_ ._
Tokens: 1 2______ 3_______ 4_____ 5________ 6 7_____ 8_____ 9_____ 10_______ 11 12______ 13_______ 14 15 16___ 17____________ 18___ 19__________ 20____ 21 22______ 23___ 24 25 26__ 27______ 28_______ 29______ 30_____ 31____ 32_________ 33___ 34 35_____ 36_ 37_______ 38 39

Chunks:
  TruePositive nam [2,2] = Arkonie (confidence=0.94)
  TruePositive nam [33,33] = Ranów (confidence=0.98)
  TruePositive nam [37,37] = Rugianami (confidence=0.99)

(ChunkerEvaluator) Sentence #399 from 00101889 from sent22

Text  : Kapłan dysponował też drużyną Boga liczącą 300 konnych .
Tokens: 1_____ 2_________ 3__ 4______ 5___ 6______ 7__ 8______ 9

Chunks:
  TruePositive nam [5,5] = Boga (confidence=1.00)

(ChunkerEvaluator) Sentence #400 from 00101889 from sent23

Text  : Innym utożsamieniem Peruna był Rugiewit .
Tokens: 1____ 2____________ 3_____ 4__ 5_______ 6

Chunks:
  TruePositive nam [3,3] = Peruna (confidence=1.00)
  TruePositive nam [5,5] = Rugiewit (confidence=1.00)

(ChunkerEvaluator) Sentence #401 from 00101889 from sent24

Text  : Był on bogiem wojny Rugian .
Tokens: 1__ 2_ 3_____ 4____ 5_____ 6

Chunks:
  TruePositive nam [5,5] = Rugian (confidence=0.99)

(ChunkerEvaluator) Sentence #402 from 00101889 from sent25

Text  : Jego posąg o 7 - miu twarzach znajdował się w_ świątyni w_ Korzenicy (_ Gardziec Rugijski ,_ obecnie niemiecki Garz )_ ,_ było to też miejsce kultu Porenuta i_ Porewita ._
Tokens: 1___ 2____ 3 4 5 6__ 7_______ 8________ 9__ 10 11______ 12 13_______ 14 15______ 16______ 17 18_____ 19_______ 20__ 21 22 23__ 24 25_ 26_____ 27___ 28______ 29 30______ 31

Chunks:
  TruePositive nam [13,13] = Korzenicy (confidence=1.00)
  TruePositive nam [15,16] = Gardziec Rugijski (confidence=1.00)
  TruePositive nam [20,20] = Garz (confidence=0.99)
  TruePositive nam [28,28] = Porenuta (confidence=0.76)
  TruePositive nam [30,30] = Porewita (confidence=0.97)

2017-06-14 20:24:22,431 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 26 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101944.xml
(ChunkerEvaluator) Sentence #403 from 00101944 from sent1

Text  : Ustawa z dnia 19 czerwca 1997 r .
Tokens: 1_____ 2 3___ 4_ 5______ 6___ 7 8

Chunks:

(ChunkerEvaluator) Sentence #404 from 00101944 from sent2

Text  : o utworzeniu Uniwersytetu w Białymstoku
Tokens: 1 2_________ 3___________ 4 5__________

Chunks:
  FalsePositive nam [3,3] = Uniwersytetu (confidence=0.99) (incorrect boundry)
  FalsePositive nam [5,5] = Białymstoku (confidence=0.99) (incorrect boundry)
  FalseNegative nam [3,5] = Uniwersytetu w Białymstoku

(ChunkerEvaluator) Sentence #405 from 00101944 from sent3

Text  : Art . 1 .
Tokens: 1__ 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #406 from 00101944 from sent4

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #407 from 00101944 from sent5

Text  : Tworzy się z dniem 1 października 1997 r . Uniwersytet w_ Białymstoku ,_ zwany dalej "_ Uniwersytetem "_ ._
Tokens: 1_____ 2__ 3 4____ 5 6___________ 7___ 8 9 10_________ 11 12_________ 13 14___ 15___ 16 17___________ 18 19

Chunks:
  TruePositive nam [17,17] = Uniwersytetem (confidence=0.65)
  FalsePositive nam [10,10] = Uniwersytet (confidence=0.65) (incorrect boundry)
  FalsePositive nam [12,12] = Białymstoku (confidence=0.99) (incorrect boundry)
  FalseNegative nam [10,12] = Uniwersytet w Białymstoku

(ChunkerEvaluator) Sentence #408 from 00101944 from sent6

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #409 from 00101944 from sent7

Text  : Siedzibą Uniwersytetu jest miasto Białystok .
Tokens: 1_______ 2___________ 3___ 4_____ 5________ 6

Chunks:
  TruePositive nam [2,2] = Uniwersytetu (confidence=0.98)
  TruePositive nam [5,5] = Białystok (confidence=1.00)

(ChunkerEvaluator) Sentence #410 from 00101944 from sent8

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #411 from 00101944 from sent9

Text  : Uniwersytet jest uczelnią państwową .
Tokens: 1__________ 2___ 3_______ 4________ 5

Chunks:
  FalseNegative nam [1,1] = Uniwersytet

(ChunkerEvaluator) Sentence #412 from 00101944 from sent10

Text  : Art . 2 .
Tokens: 1__ 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #413 from 00101944 from sent11

Text  : Podstawowym kierunkiem działalności Uniwersytetu jest kształcenie oraz prowadzenie badań naukowych w_ zakresie nauk prawnych ,_ humanistycznych ,_ ekonomicznych i_ matematyczno -_ przyrodniczych ._
Tokens: 1__________ 2_________ 3___________ 4___________ 5___ 6__________ 7___ 8__________ 9____ 10_______ 11 12______ 13__ 14______ 15 16_____________ 17 18___________ 19 20__________ 21 22____________ 23

Chunks:
  TruePositive nam [4,4] = Uniwersytetu (confidence=0.99)

(ChunkerEvaluator) Sentence #414 from 00101944 from sent12

Text  : Art . 3 .
Tokens: 1__ 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #415 from 00101944 from sent13

Text  : Nadzór nad Uniwersytetem sprawuje Minister Edukacji Narodowej .
Tokens: 1_____ 2__ 3____________ 4_______ 5_______ 6_______ 7________ 8

Chunks:
  TruePositive nam [3,3] = Uniwersytetem (confidence=0.99)
  TruePositive nam [5,7] = Minister Edukacji Narodowej (confidence=0.92)

(ChunkerEvaluator) Sentence #416 from 00101944 from sent14

Text  : Art . 4 .
Tokens: 1__ 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #417 from 00101944 from sent15

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #418 from 00101944 from sent16

Text  : Uniwersytet tworzy się z Filii Uniwersytetu Warszawskiego w Białymstoku ._
Tokens: 1__________ 2_____ 3__ 4 5____ 6___________ 7____________ 8 9__________ 10

Chunks:
  FalsePositive nam [5,7] = Filii Uniwersytetu Warszawskiego (confidence=1.00) (incorrect boundry)
  FalsePositive nam [6,7] = Uniwersytetu Warszawskiego (confidence=0.61) (incorrect boundry)
  FalsePositive nam [9,9] = Białymstoku (confidence=1.00) (incorrect boundry)
  FalseNegative nam [1,1] = Uniwersytet
  FalseNegative nam [5,9] = Filii Uniwersytetu Warszawskiego w Białymstoku

(ChunkerEvaluator) Sentence #419 from 00101944 from sent17

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #420 from 00101944 from sent18

Text  : Mienie Uniwersytetu Warszawskiego , obejmujące własność i inne prawa majątkowe będące w_ zarządzie Filii Uniwersytetu Warszawskiego w_ Białymstoku ,_ staje się mieniem Uniwersytetu ._
Tokens: 1_____ 2___________ 3____________ 4 5_________ 6_______ 7 8___ 9____ 10_______ 11____ 12 13_______ 14___ 15__________ 16___________ 17 18_________ 19 20___ 21_ 22_____ 23__________ 24

Chunks:
  TruePositive nam [2,3] = Uniwersytetu Warszawskiego (confidence=0.95)
  TruePositive nam [23,23] = Uniwersytetu (confidence=0.81)
  FalsePositive nam [14,16] = Filii Uniwersytetu Warszawskiego (confidence=1.00) (incorrect boundry)
  FalsePositive nam [15,16] = Uniwersytetu Warszawskiego (confidence=0.56) (incorrect boundry)
  FalsePositive nam [18,18] = Białymstoku (confidence=1.00) (incorrect boundry)
  FalseNegative nam [14,18] = Filii Uniwersytetu Warszawskiego w Białymstoku

(ChunkerEvaluator) Sentence #421 from 00101944 from sent19

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #422 from 00101944 from sent20

Text  : Uniwersytet , z dniem utworzenia , przejmuje prawa i zobowiązania Uniwersytetu Warszawskiego dotyczące Filii Uniwersytetu Warszawskiego w_ Białymstoku ._
Tokens: 1__________ 2 3 4____ 5_________ 6 7________ 8____ 9 10__________ 11__________ 12___________ 13_______ 14___ 15__________ 16___________ 17 18_________ 19

Chunks:
  TruePositive nam [11,12] = Uniwersytetu Warszawskiego (confidence=1.00)
  FalsePositive nam [14,16] = Filii Uniwersytetu Warszawskiego (confidence=1.00) (incorrect boundry)
  FalsePositive nam [15,16] = Uniwersytetu Warszawskiego (confidence=0.68) (incorrect boundry)
  FalsePositive nam [18,18] = Białymstoku (confidence=1.00) (incorrect boundry)
  FalseNegative nam [1,1] = Uniwersytet
  FalseNegative nam [14,18] = Filii Uniwersytetu Warszawskiego w Białymstoku

(ChunkerEvaluator) Sentence #423 from 00101944 from sent21

Text  : Art . 5 .
Tokens: 1__ 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #424 from 00101944 from sent22

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #425 from 00101944 from sent23

Text  : Z dniem 1 października 1997 r . :
Tokens: 1 2____ 3 4___________ 5___ 6 7 8

Chunks:

(ChunkerEvaluator) Sentence #426 from 00101944 from sent24

Text  : 1 ) pracownicy Uniwersytetu Warszawskiego zatrudnieni w Filii w Białymstoku stają się pracownikami Uniwersytetu ,_
Tokens: 1 2 3_________ 4___________ 5____________ 6__________ 7 8____ 9 10_________ 11___ 12_ 13__________ 14__________ 15

Chunks:
  TruePositive nam [4,5] = Uniwersytetu Warszawskiego (confidence=1.00)
  TruePositive nam [14,14] = Uniwersytetu (confidence=0.85)
  FalsePositive nam [8,8] = Filii (confidence=1.00) (incorrect boundry)
  FalsePositive nam [10,10] = Białymstoku (confidence=1.00) (incorrect boundry)
  FalseNegative nam [8,10] = Filii w Białymstoku

(ChunkerEvaluator) Sentence #427 from 00101944 from sent25

Text  : 2 ) studenci Uniwersytetu Warszawskiego studiujący w Filii w Białymstoku stają się studentami Uniwersytetu ._
Tokens: 1 2 3_______ 4___________ 5____________ 6_________ 7 8____ 9 10_________ 11___ 12_ 13________ 14__________ 15

Chunks:
  TruePositive nam [4,5] = Uniwersytetu Warszawskiego (confidence=1.00)
  TruePositive nam [14,14] = Uniwersytetu (confidence=0.93)
  FalsePositive nam [8,8] = Filii (confidence=1.00) (incorrect boundry)
  FalsePositive nam [10,10] = Białymstoku (confidence=1.00) (incorrect boundry)
  FalseNegative nam [8,10] = Filii w Białymstoku

(ChunkerEvaluator) Sentence #428 from 00101944 from sent26

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #429 from 00101944 from sent27

Text  : Podstawowe jednostki organizacyjne Filii Uniwersytetu Warszawskiego w Białymstoku stają się podstawowymi jednostkami organizacyjnymi Uniwersytetu ._
Tokens: 1_________ 2________ 3____________ 4____ 5___________ 6____________ 7 8__________ 9____ 10_ 11__________ 12_________ 13_____________ 14__________ 15

Chunks:
  TruePositive nam [14,14] = Uniwersytetu (confidence=0.94)
  FalsePositive nam [4,6] = Filii Uniwersytetu Warszawskiego (confidence=1.00) (incorrect boundry)
  FalsePositive nam [5,6] = Uniwersytetu Warszawskiego (confidence=0.66) (incorrect boundry)
  FalsePositive nam [8,8] = Białymstoku (confidence=1.00) (incorrect boundry)
  FalseNegative nam [4,8] = Filii Uniwersytetu Warszawskiego w Białymstoku

(ChunkerEvaluator) Sentence #430 from 00101944 from sent28

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #431 from 00101944 from sent29

Text  : Jednostki organizacyjne Filii Uniwersytetu Warszawskiego w Białymstoku , które przed dniem utworzenia Uniwersytetu posiadały uprawnienia do nadawania stopni naukowych ,_ zachowują te uprawnienia po utworzeniu Uniwersytetu ._
Tokens: 1________ 2____________ 3____ 4___________ 5____________ 6 7__________ 8 9____ 10___ 11___ 12________ 13__________ 14_______ 15_________ 16 17_______ 18____ 19_______ 20 21_______ 22 23_________ 24 25________ 26__________ 27

Chunks:
  TruePositive nam [13,13] = Uniwersytetu (confidence=1.00)
  TruePositive nam [26,26] = Uniwersytetu (confidence=0.95)
  FalsePositive nam [3,5] = Filii Uniwersytetu Warszawskiego (confidence=1.00) (incorrect boundry)
  FalsePositive nam [4,5] = Uniwersytetu Warszawskiego (confidence=0.66) (incorrect boundry)
  FalsePositive nam [7,7] = Białymstoku (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,7] = Filii Uniwersytetu Warszawskiego w Białymstoku

(ChunkerEvaluator) Sentence #432 from 00101944 from sent30

Text  : 4 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #433 from 00101944 from sent31

Text  : Osoby przyjęte na pierwszy rok studiów na rok akademicki 1997 /_ 1998 do Filii Uniwersytetu Warszawskiego w_ Białymstoku z_ dniem utworzenia Uniwersytetu stają się jego studentami ._
Tokens: 1____ 2_______ 3_ 4_______ 5__ 6______ 7_ 8__ 9_________ 10__ 11 12__ 13 14___ 15__________ 16___________ 17 18_________ 19 20___ 21________ 22__________ 23___ 24_ 25__ 26________ 27

Chunks:
  TruePositive nam [22,22] = Uniwersytetu (confidence=1.00)
  FalsePositive nam [14,16] = Filii Uniwersytetu Warszawskiego (confidence=1.00) (incorrect boundry)
  FalsePositive nam [15,16] = Uniwersytetu Warszawskiego (confidence=0.58) (incorrect boundry)
  FalsePositive nam [18,18] = Białymstoku (confidence=1.00) (incorrect boundry)
  FalseNegative nam [14,18] = Filii Uniwersytetu Warszawskiego w Białymstoku

(ChunkerEvaluator) Sentence #434 from 00101944 from sent32

Text  : Art . 6 .
Tokens: 1__ 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #435 from 00101944 from sent33

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #436 from 00101944 from sent34

Text  : Dotychczasowe organy kolegialne i jednoosobowe Filii Uniwersytetu Warszawskiego w Białymstoku stają się z_ dniem 1_ października 1997 r_ ._ organami Uniwersytetu ._
Tokens: 1____________ 2_____ 3_________ 4 5___________ 6____ 7___________ 8____________ 9 10_________ 11___ 12_ 13 14___ 15 16__________ 17__ 18 19 20______ 21__________ 22

Chunks:
  TruePositive nam [21,21] = Uniwersytetu (confidence=0.95)
  FalsePositive nam [6,8] = Filii Uniwersytetu Warszawskiego (confidence=0.98) (incorrect boundry)
  FalsePositive nam [10,10] = Białymstoku (confidence=1.00) (incorrect boundry)
  FalseNegative nam [6,10] = Filii Uniwersytetu Warszawskiego w Białymstoku

2017-06-14 20:24:22,509 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 27 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101965.xml
(ChunkerEvaluator) Sentence #437 from 00101965 from sent1

Text  : Znalazł em się ostatnio na poważnym koncercie na Wratislavia Cantans ._
Tokens: 1______ 2_ 3__ 4_______ 5_ 6_______ 7________ 8_ 9__________ 10_____ 11

Chunks:
  TruePositive nam [9,10] = Wratislavia Cantans (confidence=1.00)

(ChunkerEvaluator) Sentence #438 from 00101965 from sent2

Text  : Co by się stało , gdyby odcinek South Parku pokazać melomanowi ,_ który wiedzę o_ świecie czerpie z_ literatury sprzed 1930 roku ?_
Tokens: 1_ 2_ 3__ 4____ 5 6____ 7______ 8____ 9____ 10_____ 11________ 12 13___ 14____ 15 16_____ 17_____ 18 19________ 20____ 21__ 22__ 23

Chunks:
  TruePositive nam [8,9] = South Parku (confidence=0.95)

(ChunkerEvaluator) Sentence #439 from 00101965 from sent3

Text  : Na początku było coś w rodzaju muzyki filmowej , czuł em się raczej jak na Władcy Pierścieni IV albo Zakochanym Flaubercie ,_ a_ nie jak na awangardowej muzyce poważnej ._
Tokens: 1_ 2_______ 3___ 4__ 5 6______ 7_____ 8_______ 9 10__ 11 12_ 13____ 14_ 15 16____ 17________ 18 19__ 20________ 21________ 22 23 24_ 25_ 26 27__________ 28____ 29______ 30

Chunks:
  TruePositive nam [20,21] = Zakochanym Flaubercie (confidence=0.99)
  FalsePositive nam [16,18] = Władcy Pierścieni IV (confidence=0.62) (incorrect boundry)
  FalseNegative nam [16,17] = Władcy Pierścieni

(ChunkerEvaluator) Sentence #440 from 00101965 from sent4

Text  : W South Parku też się jednak znalazła adaptacja Dickensa ,_ więc i_ ja miałem szansę na easy listening ._
Tokens: 1 2____ 3____ 4__ 5__ 6_____ 7_______ 8________ 9_______ 10 11__ 12 13 14____ 15____ 16 17__ 18_______ 19

Chunks:
  TruePositive nam [2,3] = South Parku (confidence=0.97)
  TruePositive nam [9,9] = Dickensa (confidence=1.00)

(ChunkerEvaluator) Sentence #441 from 00101965 from sent5

Text  : Po krótkim przegrupowaniu i wjeździe plumkającego instrumentu na drugim końcu nawy ,_ z_ romantycznego fantasy trafił em nagle zupełnie gdzie indziej ._
Tokens: 1_ 2______ 3_____________ 4 5_______ 6___________ 7__________ 8_ 9_____ 10___ 11__ 12 13 14___________ 15_____ 16____ 17 18___ 19______ 20___ 21_____ 22

Chunks:

(ChunkerEvaluator) Sentence #442 from 00101965 from sent6

Text  : Koreański film grozy ?
Tokens: 1________ 2___ 3____ 4

Chunks:

(ChunkerEvaluator) Sentence #443 from 00101965 from sent7

Text  : Skandynawskie science - fiction ?
Tokens: 1____________ 2______ 3 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #444 from 00101965 from sent8

Text  : Tu ktoś zawodzi , tam stroją instrumenty , a pani upadł klarnet ._
Tokens: 1_ 2___ 3______ 4 5__ 6_____ 7__________ 8 9 10__ 11___ 12_____ 13

Chunks:

(ChunkerEvaluator) Sentence #445 from 00101965 from sent9

Text  : Miejsce pod chórem zaczyna być problemem , gdy wyłaniający się z_ ciemnych szybów kopalni w_ Kirunie obcy wydaje krzyk ,_ przy którym Nazgule wypadają jak uczestnicy konkursu Eurowizji ,_ to Agata Zubel ,_ której nie widzę ,_ widzę za to jej cień na filarze kościoła ,_ tymczasem Sun Park Wo ostrzy brzytwę przy bladym świetle nagiej żarówki ._
Tokens: 1______ 2__ 3_____ 4______ 5__ 6________ 7 8__ 9__________ 10_ 11 12______ 13____ 14_____ 15 16_____ 17__ 18____ 19___ 20 21__ 22____ 23_____ 24______ 25_ 26________ 27______ 28_______ 29 30 31___ 32___ 33 34____ 35_ 36___ 37 38___ 39 40 41_ 42__ 43 44_____ 45______ 46 47_______ 48_ 49__ 50 51____ 52_____ 53__ 54____ 55_____ 56____ 57_____ 58

Chunks:
  TruePositive nam [16,16] = Kirunie (confidence=1.00)
  TruePositive nam [28,28] = Eurowizji (confidence=1.00)
  TruePositive nam [31,32] = Agata Zubel (confidence=1.00)
  TruePositive nam [48,50] = Sun Park Wo (confidence=1.00)
  FalsePositive nam [23,23] = Nazgule (confidence=0.80) (incorrect boundry)

(ChunkerEvaluator) Sentence #446 from 00101965 from sent10

Text  : Pan próbuje smyczkiem przeciąć ksylofon , plumkanie zza pleców ,_ Zubel nad głową ,_ solo na wiolonczeli ._
Tokens: 1__ 2______ 3________ 4_______ 5_______ 6 7________ 8__ 9_____ 10 11___ 12_ 13___ 14 15__ 16 17_________ 18

Chunks:
  TruePositive nam [11,11] = Zubel (confidence=0.97)

(ChunkerEvaluator) Sentence #447 from 00101965 from sent11

Text  : To jest hałas dla ludzi wykształconych , znacznie trudniejszy do zniesienia dla słuchaczy Sonic Youth ,_ ale mając lepszy słuch więcej dźwięków można wyłowić z_ pralki ,_ półtorej godziny mija niepostrzeżenie ,_ chociaż nie ma czego zanucić po wyjściu ._
Tokens: 1_ 2___ 3____ 4__ 5____ 6_____________ 7 8_______ 9__________ 10 11________ 12_ 13_______ 14___ 15___ 16 17_ 18___ 19____ 20___ 21____ 22______ 23___ 24_____ 25 26____ 27 28______ 29_____ 30__ 31_____________ 32 33_____ 34_ 35 36___ 37_____ 38 39_____ 40

Chunks:
  TruePositive nam [14,15] = Sonic Youth (confidence=1.00)

(ChunkerEvaluator) Sentence #448 from 00101965 from sent12

Text  : Czasem wprawdzie przypomina się tylko Walter Klemmer , rozglądam się wtedy z_ niepokojem ,_ może gdzieś tu siedzi ,_ a_ wtedy marny wasz los potwory z_ Kiruny i_ koreańscy zboczeńcy ._
Tokens: 1_____ 2________ 3_________ 4__ 5____ 6_____ 7______ 8 9________ 10_ 11___ 12 13________ 14 15__ 16____ 17 18____ 19 20 21___ 22___ 23__ 24_ 25_____ 26 27____ 28 29_______ 30_______ 31

Chunks:
  TruePositive nam [6,7] = Walter Klemmer (confidence=1.00)
  TruePositive nam [27,27] = Kiruny (confidence=0.99)

2017-06-14 20:24:22,583 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 28 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101968.xml
(ChunkerEvaluator) Sentence #449 from 00101968 from sent1

Text  : Wrocław , 18 . kwietnia 2014 r .
Tokens: 1______ 2 3_ 4 5_______ 6___ 7 8

Chunks:
  TruePositive nam [1,1] = Wrocław (confidence=0.86)

(ChunkerEvaluator) Sentence #450 from 00101968 from sent2

Text  : W siódmą rocznicę przyznania Polsce i Ukrainie organizacji Euro 2012 ,_ prezydent Wrocławia Rafał Dutkiewicz wmurował kamień węgielny pod budowę nowego lotniska międzynarodowego ._
Tokens: 1 2_____ 3_______ 4_________ 5_____ 6 7_______ 8__________ 9___ 10__ 11 12_______ 13_______ 14___ 15________ 16______ 17____ 18______ 19_ 20____ 21____ 22______ 23______________ 24

Chunks:
  TruePositive nam [5,5] = Polsce (confidence=1.00)
  TruePositive nam [7,7] = Ukrainie (confidence=0.98)
  TruePositive nam [9,10] = Euro 2012 (confidence=0.96)
  TruePositive nam [13,13] = Wrocławia (confidence=1.00)
  TruePositive nam [14,15] = Rafał Dutkiewicz (confidence=0.99)

(ChunkerEvaluator) Sentence #451 from 00101968 from sent3

Text  : Uroczystość czysto symboliczna , bo chińscy robotnicy od dawna już pracują ,_ betonowe słupy pod tory kolei magnetycznej już stoją ,_ metro też już doprowadzone ._
Tokens: 1__________ 2_____ 3__________ 4 5_ 6______ 7________ 8_ 9____ 10_ 11_____ 12 13______ 14___ 15_ 16__ 17___ 18__________ 19_ 20___ 21 22___ 23_ 24_ 25__________ 26

Chunks:

(ChunkerEvaluator) Sentence #452 from 00101968 from sent4

Text  : Nowe lotnisko na pewno będzie argumentem w walce o organizację MŚ w_ lekkiej atletyce i_ kongresu futurologicznego ._
Tokens: 1___ 2_______ 3_ 4____ 5_____ 6_________ 7 8____ 9 10_________ 11 12 13_____ 14______ 15 16______ 17______________ 18

Chunks:
  FalsePositive nam [11,11] = MŚ (confidence=0.99) (incorrect boundry)
  FalseNegative nam [11,14] = MŚ w lekkiej atletyce
  FalseNegative nam [16,17] = kongresu futurologicznego

(ChunkerEvaluator) Sentence #453 from 00101968 from sent5

Text  : Z myślą o tym ostatnim , w miejscu galeriowca powstaje najwyższy budynek w_ Europie –_ 750 -_ metrowa Water Tower ._
Tokens: 1 2____ 3 4__ 5_______ 6 7 8______ 9_________ 10______ 11_______ 12_____ 13 14_____ 15 16_ 17 18_____ 19___ 20___ 21

Chunks:
  TruePositive nam [14,14] = Europie (confidence=1.00)
  TruePositive nam [19,20] = Water Tower (confidence=0.98)

(ChunkerEvaluator) Sentence #454 from 00101968 from sent6

Text  : „ Jesteśmy optymistami – mówi Paweł Romaszkan , Dyrektor Biura Promocji Wrocławia –_ zarówno w_ w_ sprawie mistrzostw ,_ jak i_ kongresu ._
Tokens: 1 2_______ 3__________ 4 5___ 6____ 7________ 8 9_______ 10___ 11______ 12_______ 13 14_____ 15 16 17_____ 18________ 19 20_ 21 22______ 23

Chunks:
  TruePositive nam [6,7] = Paweł Romaszkan (confidence=1.00)
  FalsePositive nam [9,12] = Dyrektor Biura Promocji Wrocławia (confidence=0.99) (incorrect boundry)
  FalseNegative nam [10,12] = Biura Promocji Wrocławia

(ChunkerEvaluator) Sentence #455 from 00101968 from sent7

Text  : Doświadczenie w organizacji imprez sportowych mamy niemałe – Euro ,_ Final Four Euroligi ,_ mecze Ligi Mistrzów ._
Tokens: 1____________ 2 3__________ 4_____ 5_________ 6___ 7______ 8 9___ 10 11___ 12__ 13______ 14 15___ 16__ 17______ 18

Chunks:
  TruePositive nam [9,9] = Euro (confidence=1.00)
  TruePositive nam [11,13] = Final Four Euroligi (confidence=0.95)
  TruePositive nam [16,17] = Ligi Mistrzów (confidence=1.00)

(ChunkerEvaluator) Sentence #456 from 00101968 from sent8

Text  : Za przyznaniem Wrocławiowi organizacji kongresu lobbują członkowie Europejskiego Instytutu Technologicznego ,_ który jest jedną z_ wizytówek miasta i_ takie poparcie ma kolosalne znaczenie ”_ ._
Tokens: 1_ 2__________ 3__________ 4__________ 5_______ 6______ 7_________ 8____________ 9________ 10______________ 11 12___ 13__ 14___ 15 16_______ 17____ 18 19___ 20______ 21 22_______ 23_______ 24 25

Chunks:
  TruePositive nam [3,3] = Wrocławiowi (confidence=0.65)
  TruePositive nam [8,10] = Europejskiego Instytutu Technologicznego (confidence=1.00)

(ChunkerEvaluator) Sentence #457 from 00101968 from sent9

Text  : Są jednak problemy .
Tokens: 1_ 2_____ 3_______ 4

Chunks:

(ChunkerEvaluator) Sentence #458 from 00101968 from sent10

Text  : Tereny , na których odbyło się Expo wciąż nie mają nowego zastosowania ,_ radzi sobie jedynie hala sportowa ._
Tokens: 1_____ 2 3_ 4______ 5_____ 6__ 7___ 8____ 9__ 10__ 11____ 12__________ 13 14___ 15___ 16_____ 17__ 18______ 19

Chunks:
  TruePositive nam [7,7] = Expo (confidence=0.96)

(ChunkerEvaluator) Sentence #459 from 00101968 from sent11

Text  : Trzy węzły autostradowe na południu miasta wciąż są zakorkowane ,_ nie pomagają systemy automatycznej nawigacji ,_ ani nowa ośmiopasmowa autostrada równoległa do A4 ._
Tokens: 1___ 2____ 3___________ 4_ 5_______ 6_____ 7____ 8_ 9__________ 10 11_ 12______ 13_____ 14___________ 15_______ 16 17_ 18__ 19__________ 20________ 21________ 22 23 24

Chunks:
  TruePositive nam [23,23] = A4 (confidence=0.98)

(ChunkerEvaluator) Sentence #460 from 00101968 from sent12

Text  : Pięć szybkich połączeń kolejowych z Berlinem na dzień to zdecydowanie za mało ,_ a_ rząd Niemiec wciąż odkłada budowę kolei magnetycznej ._
Tokens: 1___ 2_______ 3_______ 4_________ 5 6_______ 7_ 8____ 9_ 10__________ 11 12__ 13 14 15__ 16_____ 17___ 18_____ 19____ 20___ 21__________ 22

Chunks:
  TruePositive nam [6,6] = Berlinem (confidence=1.00)
  TruePositive nam [16,16] = Niemiec (confidence=0.99)

(ChunkerEvaluator) Sentence #461 from 00101968 from sent13

Text  : Tymczasem odcinek z Wrocławia do granicy mógł by powstać w_ kilka miesięcy ._
Tokens: 1________ 2______ 3 4________ 5_ 6______ 7___ 8_ 9______ 10 11___ 12______ 13

Chunks:
  TruePositive nam [4,4] = Wrocławia (confidence=0.97)

(ChunkerEvaluator) Sentence #462 from 00101968 from sent14

Text  : Wyremontowany Stadion Olimpijski jest za mały – 40 tysięcy miejsc może nie wystarczyć do przekonania IAAF ._
Tokens: 1____________ 2______ 3_________ 4___ 5_ 6___ 7 8_ 9______ 10____ 11__ 12_ 13________ 14 15_________ 16__ 17

Chunks:
  TruePositive nam [2,3] = Stadion Olimpijski (confidence=0.98)
  TruePositive nam [16,16] = IAAF (confidence=0.52)

(ChunkerEvaluator) Sentence #463 from 00101968 from sent15

Text  : Zresztą piłkarze narzekają , że ich obiekt na Maślicach też mógł by być większy ._
Tokens: 1______ 2_______ 3________ 4 5_ 6__ 7_____ 8_ 9________ 10_ 11__ 12 13_ 14_____ 15

Chunks:
  TruePositive nam [9,9] = Maślicach (confidence=0.99)

(ChunkerEvaluator) Sentence #464 from 00101968 from sent16

Text  : Poszerzona po raz kolejny – tym razem do ul ._ Piłsudskiego –_ strefa centrum wolnego od samochodów irytuje wielu mieszkańców ._
Tokens: 1_________ 2_ 3__ 4______ 5 6__ 7____ 8_ 9_ 10 11__________ 12 13____ 14_____ 15_____ 16 17________ 18_____ 19___ 20_________ 21

Chunks:
  TruePositive nam [11,11] = Piłsudskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #465 from 00101968 from sent17

Text  : W związku z tym wciąż nie jest pewne , czy prezydent Dutkiewicz będzie starał się o_ czwartą kadencję ._
Tokens: 1 2______ 3 4__ 5____ 6__ 7___ 8____ 9 10_ 11_______ 12________ 13____ 14____ 15_ 16 17_____ 18______ 19

Chunks:
  TruePositive nam [12,12] = Dutkiewicz (confidence=1.00)

(ChunkerEvaluator) Sentence #466 from 00101968 from sent18

Text  : Tym bardziej , że sprawa przyznania imprez rozstrzygnie się po wyborach ._
Tokens: 1__ 2_______ 3 4_ 5_____ 6_________ 7_____ 8___________ 9__ 10 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #467 from 00101968 from sent19

Text  : Wiadomo już jednak , że przybył mu poważny konkurent –_ Japończyk i_ wrocławianin Toyotaka Ota ._
Tokens: 1______ 2__ 3_____ 4 5_ 6______ 7_ 8______ 9________ 10 11_______ 12 13__________ 14______ 15_ 16

Chunks:
  TruePositive nam [11,11] = Japończyk (confidence=0.99)
  TruePositive nam [14,15] = Toyotaka Ota (confidence=1.00)
  FalseNegative nam [13,13] = wrocławianin

2017-06-14 20:24:22,676 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 29 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102049.xml
(ChunkerEvaluator) Sentence #468 from 00102049 from sent1

Text  : Policjanci ze Zgierza ( Łódzkie ) rozbili gang , który żądając okupu groził śmiercią 43 -_ letniemu przedsiębiorcy z_ Ozorkowa ._
Tokens: 1_________ 2_ 3______ 4 5______ 6 7______ 8___ 9 10___ 11_____ 12___ 13____ 14______ 15 16 17______ 18____________ 19 20______ 21

Chunks:
  TruePositive nam [3,3] = Zgierza (confidence=0.99)
  TruePositive nam [5,5] = Łódzkie (confidence=1.00)
  TruePositive nam [20,20] = Ozorkowa (confidence=1.00)

(ChunkerEvaluator) Sentence #469 from 00102049 from sent2

Text  : Przestępcy spalili mu także cztery auta .
Tokens: 1_________ 2______ 3_ 4____ 5_____ 6___ 7

Chunks:

(ChunkerEvaluator) Sentence #470 from 00102049 from sent3

Text  : Zatrzymano sześć osób , w tym dwa małżeństwa .
Tokens: 1_________ 2____ 3___ 4 5 6__ 7__ 8_________ 9

Chunks:

(ChunkerEvaluator) Sentence #471 from 00102049 from sent4

Text  : Większości z nich grozi kara 10 lat więzienia .
Tokens: 1_________ 2 3___ 4____ 5___ 6_ 7__ 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #472 from 00102049 from sent5

Text  : Jak poinformowała w środę rzeczniczka łódzkiej policji nadkom . Magdalena Zielińska ,_ 43 -_ letni mieszkaniec Ozorkowa handlujący samochodami przywożonymi z_ zagranicy od czerwca otrzymywał sms-y oraz telefony z_ pogróżkami ._
Tokens: 1__ 2____________ 3 4____ 5__________ 6_______ 7______ 8_____ 9 10_______ 11_______ 12 13 14 15___ 16_________ 17______ 18________ 19_________ 20__________ 21 22_______ 23 24_____ 25________ 26___ 27__ 28______ 29 30________ 31

Chunks:
  TruePositive nam [10,11] = Magdalena Zielińska (confidence=1.00)
  TruePositive nam [17,17] = Ozorkowa (confidence=1.00)

(ChunkerEvaluator) Sentence #473 from 00102049 from sent6

Text  : Nieznani sprawcy grozili jemu i jego rodzinie śmiercią .
Tokens: 1_______ 2______ 3______ 4___ 5 6___ 7_______ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #474 from 00102049 from sent7

Text  : Za " spokój " żądali 25 tys . zł ._
Tokens: 1_ 2 3_____ 4 5_____ 6_ 7__ 8 9_ 10

Chunks:
  TruePositive nam [9,9] = zł (confidence=1.00)

(ChunkerEvaluator) Sentence #475 from 00102049 from sent8

Text  : W tym samym czasie spalono jego cztery samochody o wartości ponad 30 tys ._ zł ._
Tokens: 1 2__ 3____ 4_____ 5______ 6___ 7_____ 8________ 9 10______ 11___ 12 13_ 14 15 16

Chunks:
  TruePositive nam [15,15] = zł (confidence=1.00)

(ChunkerEvaluator) Sentence #476 from 00102049 from sent9

Text  : Przedsiębiorca powiadomił policję .
Tokens: 1_____________ 2_________ 3______ 4

Chunks:

(ChunkerEvaluator) Sentence #477 from 00102049 from sent10

Text  : Funkcjonariusze zatrzymali sześć osób w wieku 20 - 29 lat podejrzanych w_ tej sprawie ,_ w_ tym dwa małżeństwa ._
Tokens: 1______________ 2_________ 3____ 4___ 5 6____ 7_ 8 9_ 10_ 11__________ 12 13_ 14_____ 15 16 17_ 18_ 19________ 20

Chunks:

(ChunkerEvaluator) Sentence #478 from 00102049 from sent11

Text  : Podczas przeszukania budynku w którym ukrywała się część podejrzanych znaleziono pistolet ,_ dwie atrapy broni palnej ,_ pistolet startowy ,_ 7_ łamaków i_ 10 sztuk ostrej amunicji oraz kradziony motocykl suzuki ._
Tokens: 1______ 2___________ 3______ 4 5_____ 6_______ 7__ 8____ 9___________ 10________ 11______ 12 13__ 14____ 15___ 16____ 17 18______ 19______ 20 21 22_____ 23 24 25___ 26____ 27______ 28__ 29_______ 30______ 31____ 32

Chunks:

(ChunkerEvaluator) Sentence #479 from 00102049 from sent12

Text  : 29 - letni szef gangu był poszukiwany listem gończym ,_ a_ od października ub ._ roku do marca tego roku przebywał w_ niemieckim areszcie ._
Tokens: 1_ 2 3____ 4___ 5____ 6__ 7__________ 8_____ 9______ 10 11 12 13__________ 14 15 16__ 17 18___ 19__ 20__ 21_______ 22 23________ 24______ 25

Chunks:

(ChunkerEvaluator) Sentence #480 from 00102049 from sent13

Text  : Pięciu zatrzymanym przedstawiono zarzuty wymuszenia rozbójniczego i zniszczenia mienia ._
Tokens: 1_____ 2__________ 3____________ 4______ 5_________ 6____________ 7 8__________ 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #481 from 00102049 from sent14

Text  : Grozi za to do 10 lat więzienia .
Tokens: 1____ 2_ 3_ 4_ 5_ 6__ 7________ 8

Chunks:

(ChunkerEvaluator) Sentence #482 from 00102049 from sent15

Text  : Natomiast 20 - letnia żona szefa gangu odpowie za ukrycie dokumentów i_ posługiwanie się dokumentami tożsamości innej osoby ._
Tokens: 1________ 2_ 3 4_____ 5___ 6____ 7____ 8______ 9_ 10_____ 11________ 12 13__________ 14_ 15_________ 16________ 17___ 18___ 19

Chunks:

2017-06-14 20:24:22,736 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 30 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102078.xml
(ChunkerEvaluator) Sentence #483 from 00102078 from sent1

Text  : Strona internetowa z popularnymi paskami komiksowymi o życiu biurowym doczekała się nowej odsłony ,_ otwartej na “_ treści generowane przez użytkowników ”_ ._
Tokens: 1_____ 2__________ 3 4__________ 5______ 6__________ 7 8____ 9_______ 10_______ 11_ 12___ 13_____ 14 15______ 16 17 18____ 19________ 20___ 21__________ 22 23

Chunks:

(ChunkerEvaluator) Sentence #484 from 00102078 from sent2

Text  : Nie jestem wielkim fanem Dilberta , ale wspominam o tym ,_ bo jeszcze w_ listopadzie autor komiksu ,_ Scott Adams deklarował się jako zagorzały przeciwnik Web 2_ ._ 0_ ._
Tokens: 1__ 2_____ 3______ 4____ 5_______ 6 7__ 8________ 9 10_ 11 12 13_____ 14 15_________ 16___ 17_____ 18 19___ 20___ 21________ 22_ 23__ 24_______ 25________ 26_ 27 28 29 30

Chunks:
  TruePositive nam [5,5] = Dilberta (confidence=0.99)
  TruePositive nam [19,20] = Scott Adams (confidence=1.00)
  TruePositive nam [26,29] = Web 2 . 0 (confidence=1.00)

(ChunkerEvaluator) Sentence #485 from 00102078 from sent3

Text  : Fani Dilberta mogą teraz wpisywać na stronie Dilbert.com własne pointy do żartów i_ poddawać się ocenie innych internautów ._
Tokens: 1___ 2_______ 3___ 4____ 5_______ 6_ 7______ 8__________ 9_____ 10____ 11 12____ 13 14______ 15_ 16____ 17____ 18_________ 19

Chunks:
  TruePositive nam [2,2] = Dilberta (confidence=1.00)
  TruePositive nam [8,8] = Dilbert.com (confidence=1.00)
  TruePositive nam [18,18] = internautów (confidence=0.59)

(ChunkerEvaluator) Sentence #486 from 00102078 from sent4

Text  : Zapowiadana jest też możliwość wpisywania całych dialogów oraz zbiorowej pracy nad pojedynczym “_ stripem ”_ ._
Tokens: 1__________ 2___ 3__ 4________ 5_________ 6_____ 7_______ 8___ 9________ 10___ 11_ 12_________ 13 14_____ 15 16

Chunks:

(ChunkerEvaluator) Sentence #487 from 00102078 from sent5

Text  : Będzie też w pełni otwarte archiwum wszystkich rysunków .
Tokens: 1_____ 2__ 3 4____ 5______ 6_______ 7_________ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #488 from 00102078 from sent6

Text  : Trudno nazwać te opcje rewolucyjnymi , ale znaczące , że zdecydował się na nie twórca który jeszcze niedawno narzekał ,_ że jego interesom szkodzi prowadzenie bloga ._
Tokens: 1_____ 2_____ 3_ 4____ 5____________ 6 7__ 8_______ 9 10 11________ 12_ 13 14_ 15____ 16___ 17_____ 18______ 19______ 20 21 22__ 23_______ 24_____ 25_________ 26___ 27

Chunks:

(ChunkerEvaluator) Sentence #489 from 00102078 from sent7

Text  : W mailu wysłanym do News.com Adams tak komentuje zmiany :_
Tokens: 1 2____ 3_______ 4_ 5_______ 6____ 7__ 8________ 9_____ 10

Chunks:
  FalsePositive nam [5,6] = News.com Adams (confidence=1.00) (incorrect boundry)
  FalseNegative nam [5,5] = News.com
  FalseNegative nam [6,6] = Adams

(ChunkerEvaluator) Sentence #490 from 00102078 from sent8

Text  : Akceptujemy realia funkcjonowania własności intelektualnej w internecie i chcemy wyprzedzać trendy ._
Tokens: 1__________ 2_____ 3_____________ 4________ 5_____________ 6 7_________ 8 9_____ 10________ 11____ 12

Chunks:
  TruePositive nam [7,7] = internecie (confidence=0.71)

(ChunkerEvaluator) Sentence #491 from 00102078 from sent9

Text  : Już teraz ludzie zmieniają paski Dilberta i dystrybuują je ._
Tokens: 1__ 2____ 3_____ 4________ 5____ 6_______ 7 8__________ 9_ 10

Chunks:
  TruePositive nam [6,6] = Dilberta (confidence=0.86)

(ChunkerEvaluator) Sentence #492 from 00102078 from sent10

Text  : Jeśli sprawimy , że takie działania będą łatwe i zgodne z_ prawem ,_ a_ przy okazji wygenerują większy ruch na Dilbert.com ,_ skorzystają wszyscy ._
Tokens: 1____ 2_______ 3 4_ 5____ 6________ 7___ 8____ 9 10____ 11 12____ 13 14 15__ 16____ 17________ 18_____ 19__ 20 21_________ 22 23_________ 24_____ 25

Chunks:
  TruePositive nam [21,21] = Dilbert.com (confidence=1.00)

(ChunkerEvaluator) Sentence #493 from 00102078 from sent11

Text  : A poza tym obserwowanie , co pojawia się w mashupach ,_ to niezła zabawa ._
Tokens: 1 2___ 3__ 4___________ 5 6_ 7______ 8__ 9 10_______ 11 12 13____ 14____ 15

Chunks:

2017-06-14 20:24:22,785 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 31 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102123.xml
(ChunkerEvaluator) Sentence #494 from 00102123 from sent1

Text  : Kolejne spotkanie odbyło się w wyjątkowo licznym gronie dzięki Draxanowi ,_ który sprowadził ekipę posiadaczy monster trucków ._
Tokens: 1______ 2________ 3_____ 4__ 5 6________ 7______ 8_____ 9_____ 10_______ 11 12___ 13________ 14___ 15________ 16_____ 17_____ 18

Chunks:
  TruePositive nam [10,10] = Draxanowi (confidence=1.00)

(ChunkerEvaluator) Sentence #495 from 00102123 from sent2

Text  : Wprawdzie nasz ciasny tor na pewno nie jest optymalny dla monsterow w_ skali 1_ :_ 8_ ,_ jednak nie przeszkodziło nam to w_ dobrej zabawie ._
Tokens: 1________ 2___ 3_____ 4__ 5_ 6____ 7__ 8___ 9________ 10_ 11_______ 12 13___ 14 15 16 17 18____ 19_ 20___________ 21_ 22 23 24____ 25_____ 26

Chunks:

(ChunkerEvaluator) Sentence #496 from 00102123 from sent3

Text  : Widok elektrycznego bagusa , którym Andy śmigał między ogromnymi truckami ,_ był po prostu niezapomniany ._
Tokens: 1____ 2____________ 3_____ 4 5_____ 6___ 7_____ 8_____ 9________ 10______ 11 12_ 13 14____ 15___________ 16

Chunks:
  TruePositive nam [6,6] = Andy (confidence=1.00)

(ChunkerEvaluator) Sentence #497 from 00102123 from sent4

Text  : Oprócz monsterów , nowością na torze był tragus Kyosho Inferno ST -_ RR ,_ którym jeździł Sebastian oraz elektryczna rajdówka Andy'ego na podwoziu HPI Super Nitro RS4 ._
Tokens: 1_____ 2________ 3 4_______ 5_ 6____ 7__ 8_____ 9_____ 10_____ 11 12 13 14 15____ 16_____ 17_______ 18__ 19_________ 20______ 21______ 22 23______ 24_ 25___ 26___ 27_ 28

Chunks:
  TruePositive nam [17,17] = Sebastian (confidence=1.00)
  TruePositive nam [21,21] = Andy'ego (confidence=1.00)
  FalsePositive nam [9,13] = Kyosho Inferno ST - RR (confidence=0.99) (incorrect boundry)
  FalsePositive nam [24,27] = HPI Super Nitro RS4 (confidence=1.00) (incorrect boundry)
  FalseNegative nam [9,9] = Kyosho
  FalseNegative nam [10,13] = Inferno ST - RR
  FalseNegative nam [24,24] = HPI
  FalseNegative nam [25,27] = Super Nitro RS4

(ChunkerEvaluator) Sentence #498 from 00102123 from sent5

Text  : Ponadto tradycyjnie mogli śmy podziwiać zmagania elektryczych buggy 4WD oraz Rustlerów ._
Tokens: 1______ 2__________ 3____ 4__ 5________ 6_______ 7___________ 8____ 9__ 10__ 11_______ 12

Chunks:
  TruePositive nam [11,11] = Rustlerów (confidence=1.00)
  FalseNegative nam [9,9] = 4WD

(ChunkerEvaluator) Sentence #499 from 00102123 from sent6

Text  : Bagusy nitro 1 : 8 tym razem odmówiły współpracy ._
Tokens: 1_____ 2____ 3 4 5 6__ 7____ 8_______ 9_________ 10

Chunks:

(ChunkerEvaluator) Sentence #500 from 00102123 from sent7

Text  : W klasyfikacji zniszczeń przodownikami spotkania zostali Draxan , który rozwalił skrzynie w_ LST2 oraz Jarek ,_ który spalił bezszczotkowy regulator Novak XBR w_ Rustlerze pożyczonym od Huberta ._
Tokens: 1 2___________ 3________ 4____________ 5________ 6______ 7_____ 8 9____ 10______ 11______ 12 13__ 14__ 15___ 16 17___ 18____ 19___________ 20_______ 21___ 22_ 23 24_______ 25________ 26 27_____ 28

Chunks:
  TruePositive nam [7,7] = Draxan (confidence=0.98)
  TruePositive nam [13,13] = LST2 (confidence=1.00)
  TruePositive nam [15,15] = Jarek (confidence=1.00)
  TruePositive nam [24,24] = Rustlerze (confidence=1.00)
  TruePositive nam [27,27] = Huberta (confidence=1.00)
  FalsePositive nam [21,22] = Novak XBR (confidence=1.00) (incorrect boundry)
  FalseNegative nam [21,21] = Novak
  FalseNegative nam [22,22] = XBR

2017-06-14 20:24:22,820 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 32 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102126.xml
(ChunkerEvaluator) Sentence #501 from 00102126 from sent1

Text  : Kolejne lipcowe spotkanie stało pod znakiem bezlitośnie prażącego słońca ._
Tokens: 1______ 2______ 3________ 4____ 5__ 6______ 7__________ 8________ 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #502 from 00102126 from sent2

Text  : Niezbędne było ciągłe polewanie toru i okazyjne polewanie kierowców ._
Tokens: 1________ 2___ 3_____ 4________ 5___ 6 7_______ 8________ 9________ 10

Chunks:

(ChunkerEvaluator) Sentence #503 from 00102126 from sent3

Text  : Pomimo tak ekstremalnych warunków jeździli śmy przez cały dzień ,_ bawiąc się przy tym doskonale ._
Tokens: 1_____ 2__ 3____________ 4_______ 5_______ 6__ 7____ 8___ 9____ 10 11____ 12_ 13__ 14_ 15_______ 16

Chunks:

(ChunkerEvaluator) Sentence #504 from 00102126 from sent4

Text  : Maciolus pojawił sie na spotkaniu z flotą czterech elektrycznych modeli ._
Tokens: 1_______ 2______ 3__ 4_ 5________ 6 7____ 8_______ 9____________ 10____ 11

Chunks:
  TruePositive nam [1,1] = Maciolus (confidence=0.99)

(ChunkerEvaluator) Sentence #505 from 00102126 from sent5

Text  : Trzy z nich niestety dośc szybko odniosły awarie , ale czwartym -_ bezszczotkową konwersją Hot Bodies Lightninga 2_ Pro Evo -_ ścigał się z_ powodzeniem z_ bagusami o_ napędzie nitro ._
Tokens: 1___ 2 3___ 4_______ 5___ 6_____ 7_______ 8_____ 9 10_ 11______ 12 13___________ 14_______ 15_ 16____ 17________ 18 19_ 20_ 21 22____ 23_ 24 25_________ 26 27______ 28 29______ 30___ 31

Chunks:
  TruePositive nam [15,20] = Hot Bodies Lightninga 2 Pro Evo (confidence=1.00)

(ChunkerEvaluator) Sentence #506 from 00102126 from sent6

Text  : Spaliowe bagusy reprezentowane były przez LRP S8 BX , którym jeździł Bazyl ,_ Ofnę Hyper 7_ prowadzoną przez Dorotę oraz Lightninga Adama ._
Tokens: 1_______ 2_____ 3_____________ 4___ 5____ 6__ 7_ 8_ 9 10____ 11_____ 12___ 13 14__ 15___ 16 17________ 18___ 19____ 20__ 21________ 22___ 23

Chunks:
  TruePositive nam [12,12] = Bazyl (confidence=1.00)
  TruePositive nam [19,19] = Dorotę (confidence=1.00)
  FalsePositive nam [6,6] = LRP (confidence=1.00) (incorrect boundry)
  FalsePositive nam [7,8] = S8 BX (confidence=0.48) (incorrect boundry)
  FalsePositive nam [14,16] = Ofnę Hyper 7 (confidence=1.00) (incorrect boundry)
  FalsePositive nam [21,22] = Lightninga Adama (confidence=1.00) (incorrect boundry)
  FalseNegative nam [6,8] = LRP S8 BX
  FalseNegative nam [14,14] = Ofnę
  FalseNegative nam [15,16] = Hyper 7
  FalseNegative nam [21,21] = Lightninga
  FalseNegative nam [22,22] = Adama

(ChunkerEvaluator) Sentence #507 from 00102126 from sent7

Text  : Ten ostatni model niestety zakończył spotkanie ze złamanym amortyzatorem ._
Tokens: 1__ 2______ 3____ 4_______ 5________ 6________ 7_ 8_______ 9____________ 10

Chunks:

(ChunkerEvaluator) Sentence #508 from 00102126 from sent8

Text  : Wśród modeli nitro nie zabrakło też małych Jamminów CRT ._ 5_ ,_ którymi jeździli Hubert i_ Jarek
Tokens: 1____ 2_____ 3____ 4__ 5_______ 6__ 7_____ 8_______ 9__ 10 11 12 13_____ 14______ 15____ 16 17___

Chunks:
  TruePositive nam [8,11] = Jamminów CRT . 5 (confidence=1.00)
  TruePositive nam [15,15] = Hubert (confidence=1.00)
  TruePositive nam [17,17] = Jarek (confidence=0.98)

(ChunkerEvaluator) Sentence #509 from 00102126 from sent9

Text  : Na torze po raz pierwszy pojawił się Roland z modelem HPI E_ -_ Firestorm ,_ który był ciekawym urozmaiceniem klasy trucków 2WD ,_ tradycyjnie zdominowanej przez Rustlery należące do Adama i_ Huberta ._
Tokens: 1_ 2____ 3_ 4__ 5_______ 6______ 7__ 8_____ 9 10_____ 11_ 12 13 14_______ 15 16___ 17_ 18______ 19___________ 20___ 21_____ 22_ 23 24_________ 25__________ 26___ 27______ 28______ 29 30___ 31 32_____ 33

Chunks:
  TruePositive nam [8,8] = Roland (confidence=1.00)
  TruePositive nam [27,27] = Rustlery (confidence=1.00)
  TruePositive nam [30,30] = Adama (confidence=1.00)
  TruePositive nam [32,32] = Huberta (confidence=1.00)
  FalsePositive nam [11,14] = HPI E - Firestorm (confidence=1.00) (incorrect boundry)
  FalseNegative nam [11,11] = HPI
  FalseNegative nam [12,14] = E - Firestorm
  FalseNegative nam [22,22] = 2WD

(ChunkerEvaluator) Sentence #510 from 00102126 from sent10

Text  : Elektryczne buggy 2WD reprezentował Team Losi XXX - CR kierowany przez Jarka oraz niezwykle ciekawy model JConcepts J82 ze stajni Maciolusa ._
Tokens: 1__________ 2____ 3__ 4____________ 5___ 6___ 7__ 8 9_ 10_______ 11___ 12___ 13__ 14_______ 15_____ 16___ 17_______ 18_ 19 20____ 21_______ 22

Chunks:
  TruePositive nam [12,12] = Jarka (confidence=1.00)
  TruePositive nam [17,18] = JConcepts J82 (confidence=1.00)
  TruePositive nam [21,21] = Maciolusa (confidence=1.00)
  FalsePositive nam [5,5] = Team (confidence=0.55) (incorrect boundry)
  FalsePositive nam [6,6] = Losi (confidence=0.90) (incorrect boundry)
  FalsePositive nam [7,9] = XXX - CR (confidence=0.95) (incorrect boundry)
  FalseNegative nam [3,3] = 2WD
  FalseNegative nam [5,9] = Team Losi XXX - CR

(ChunkerEvaluator) Sentence #511 from 00102126 from sent11

Text  : W klasie buggy 4WD jeździł Adam modelem Hot Bodies D4 oraz Maciolus modelem Team Associated B44 ._
Tokens: 1 2_____ 3____ 4__ 5______ 6___ 7______ 8__ 9_____ 10 11__ 12______ 13_____ 14__ 15________ 16_ 17

Chunks:
  TruePositive nam [6,6] = Adam (confidence=1.00)
  TruePositive nam [8,10] = Hot Bodies D4 (confidence=1.00)
  TruePositive nam [12,12] = Maciolus (confidence=0.83)
  FalsePositive nam [14,16] = Team Associated B44 (confidence=1.00) (incorrect boundry)
  FalseNegative nam [4,4] = 4WD
  FalseNegative nam [14,15] = Team Associated
  FalseNegative nam [16,16] = B44

2017-06-14 20:24:22,872 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 33 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102156.xml
(ChunkerEvaluator) Sentence #512 from 00102156 from sent1

Text  : OBWIESZCZENIE
Tokens: 1____________

Chunks:

(ChunkerEvaluator) Sentence #513 from 00102156 from sent2

Text  : Na podstawie art . 72 ust . 6 ustawy z_ dnia 3_ października 2008 r_ ._ o_ udostępnianiu informacji o_ środowisku i_ jego ochronie ,_ udziale społeczeństwa w_ ochronie środowiska oraz o_ ocenach oddziaływania na środowisko (_ Dz ._ U_ ._ z_ 2008 r_ ._
Tokens: 1_ 2________ 3__ 4 5_ 6__ 7 8 9_____ 10 11__ 12 13__________ 14__ 15 16 17 18___________ 19________ 20 21________ 22 23__ 24______ 25 26_____ 27___________ 28 29______ 30________ 31__ 32 33_____ 34___________ 35 36________ 37 38 39 40 41 42 43__ 44 45

Chunks:
  TruePositive nam [38,41] = Dz . U . (confidence=1.00)
  FalseNegative nam [9,36] = ustawy z dnia 3 października 2008 r . o udostępnianiu informacji o środowisku i jego ochronie , udziale społeczeństwa w ochronie środowiska oraz o ocenach oddziaływania na środowisko

(ChunkerEvaluator) Sentence #514 from 00102156 from sent3

Text  : Nr 199 , poz . 1227 ) oraz stosownie do art ._ 53 ust ._ 1_ ustawy z_ dnia 27 marca 2003 r_ ._ o_ planowaniu i_ zagospodarowaniu przestrzennym (_ Dz ._ U_ ._ z_ 2003r ._
Tokens: 1_ 2__ 3 4__ 5 6___ 7 8___ 9________ 10 11_ 12 13 14_ 15 16 17____ 18 19__ 20 21___ 22__ 23 24 25 26________ 27 28______________ 29___________ 30 31 32 33 34 35 36___ 37

Chunks:
  TruePositive nam [17,29] = ustawy z dnia 27 marca 2003 r . o planowaniu i zagospodarowaniu przestrzennym (confidence=0.99)
  TruePositive nam [31,34] = Dz . U . (confidence=1.00)

(ChunkerEvaluator) Sentence #515 from 00102156 from sent4

Text  : Nr 80 , poz . 717 z późn . zm ._ )_ w_ związku z_ art ._ 49 ustawy z_ dnia 14 czerwca 1960r ._
Tokens: 1_ 2_ 3 4__ 5 6__ 7 8___ 9 10 11 12 13 14_____ 15 16_ 17 18 19____ 20 21__ 22 23_____ 24___ 25

Chunks:

(ChunkerEvaluator) Sentence #516 from 00102156 from sent5

Text  : Kodeks postępowania administracyjnego ( Dz . U . z 2000r ._
Tokens: 1_____ 2___________ 3________________ 4 5_ 6 7 8 9 10___ 11

Chunks:
  TruePositive nam [1,3] = Kodeks postępowania administracyjnego (confidence=0.99)
  TruePositive nam [5,8] = Dz . U . (confidence=1.00)

(ChunkerEvaluator) Sentence #517 from 00102156 from sent6

Text  : Nr 98 , poz . 1071 ze zm . )_
Tokens: 1_ 2_ 3 4__ 5 6___ 7_ 8_ 9 10

Chunks:

(ChunkerEvaluator) Sentence #518 from 00102156 from sent7

Text  : Prezydent Miasta Białegostoku zawiadamia , że w dniu 1 ._ 09 ._ 2011 r_ ._ została wydana decyzja Nr 809 /_ 2011 ,_ (_ znak sprawy URB -_ VII ._ 6733 ._ 115 ._ 2011 )_ ,_ o_ ustaleniu lokalizacji inwestycji celu publicznego polegającej na budowie magistralnej sieci ciepłowniczej ,_ podziemnej ,_ preizolowanej ,_ od istniejącej komory BK -_ 202 w_ rejonie ul ._ Częstochowskiej do istniejącej komory BK -_ 203 w_ pobliżu budynku przy ul ._ Lipowej 20 (_ wraz z_ demontażem istniejącej sieci kanałowej )_ ,_ zlokalizowanej na terenie oznaczonym linią koloru czerwonego i_ literami od A_ do_ R__ ,__ na_ działkach o__ nr_ geodezyjnym 1276 /__ 1__ ,__ 1276 /__ 2__ ,__ 1300 /__ 6__ ,__ 1300 /__ 10_ ,__ 1293 /__ 1__ ,__ 1293 /__ 2__ ,__ 1294 /__ 1__ ,__ 1294 /__ 2__ ,__ 1292 /__ 1__ ,__ 1288 /__ 46_ ,__ 1288 /__ 47_ ,__ 1288 /__ 7__ obr .__
Tokens: 1________ 2_____ 3___________ 4_________ 5 6_ 7 8___ 9 10 11 12 13__ 14 15 16_____ 17____ 18_____ 19 20_ 21 22__ 23 24 25__ 26____ 27_ 28 29_ 30 31__ 32 33_ 34 35__ 36 37 38 39_______ 40_________ 41________ 42__ 43_________ 44_________ 45 46_____ 47__________ 48___ 49___________ 50 51________ 52 53___________ 54 55 56_________ 57____ 58 59 60_ 61 62_____ 63 64 65_____________ 66 67_________ 68____ 69 70 71_ 72 73_____ 74_____ 75__ 76 77 78_____ 79 80 81__ 82 83________ 84_________ 85___ 86_______ 87 88 89____________ 90 91_____ 92________ 93___ 94____ 95________ 96 97______ 98 99 100 101 102 103 104______ 105 106 107________ 108_ 109 110 111 112_ 113 114 115 116_ 117 118 119 120_ 121 122 123 124_ 125 126 127 128_ 129 130 131 132_ 133 134 135 136_ 137 138 139 140_ 141 142 143 144_ 145 146 147 148_ 149 150 151 152_ 153 154 155 156

Chunks:
  TruePositive nam [58,60] = BK - 202 (confidence=1.00)
  TruePositive nam [65,65] = Częstochowskiej (confidence=0.94)
  TruePositive nam [69,71] = BK - 203 (confidence=1.00)
  TruePositive nam [78,78] = Lipowej (confidence=1.00)
  FalsePositive nam [3,3] = Białegostoku (confidence=0.76) (incorrect boundry)
  FalsePositive nam [27,27] = URB (confidence=0.99) (incorrect boundry)
  FalseNegative nam [1,3] = Prezydent Miasta Białegostoku

(ChunkerEvaluator) Sentence #519 from 00102156 from sent8

Text  : 11 przy ul . Waryńskiego , Częstochowskiej w Białymstoku ._
Tokens: 1_ 2___ 3_ 4 5__________ 6 7______________ 8 9__________ 10

Chunks:
  TruePositive nam [5,5] = Waryńskiego (confidence=1.00)
  TruePositive nam [7,7] = Częstochowskiej (confidence=0.98)
  TruePositive nam [9,9] = Białymstoku (confidence=1.00)

(ChunkerEvaluator) Sentence #520 from 00102156 from sent9

Text  : Postępowanie było prowadzone z wniosku Miejskiego Przedsiębiorstwa Energetyki Cieplnej Sp ._ z_ o_ ._ o_ ._ 15 -_ 062 Białystok ,_ ul ._ Warszawska 27
Tokens: 1___________ 2___ 3_________ 4 5______ 6_________ 7_______________ 8_________ 9_______ 10 11 12 13 14 15 16 17 18 19_ 20_______ 21 22 23 24________ 25

Chunks:
  TruePositive nam [24,24] = Warszawska (confidence=1.00)
  FalsePositive nam [6,20] = Miejskiego Przedsiębiorstwa Energetyki Cieplnej Sp . z o . o . 15 - 062 Białystok (confidence=1.00) (incorrect boundry)
  FalseNegative nam [6,16] = Miejskiego Przedsiębiorstwa Energetyki Cieplnej Sp . z o . o .
  FalseNegative nam [20,20] = Białystok

(ChunkerEvaluator) Sentence #521 from 00102156 from sent10

Text  : Strony mogą zapoznać się z treścią decyzji w Urzędzie Miejskim w_ Białymstoku ,_ Departamencie Architektury ,_ Białystok ,_ ul ._ Białówny 11 ,_ pokój 207A ._
Tokens: 1_____ 2___ 3_______ 4__ 5 6______ 7______ 8 9_______ 10______ 11 12_________ 13 14___________ 15__________ 16 17_______ 18 19 20 21______ 22 23 24___ 25__ 26

Chunks:
  TruePositive nam [14,15] = Departamencie Architektury (confidence=1.00)
  TruePositive nam [17,17] = Białystok (confidence=1.00)
  TruePositive nam [21,21] = Białówny (confidence=0.99)
  FalsePositive nam [9,10] = Urzędzie Miejskim (confidence=1.00) (incorrect boundry)
  FalsePositive nam [12,12] = Białymstoku (confidence=1.00) (incorrect boundry)
  FalseNegative nam [9,12] = Urzędzie Miejskim w Białymstoku

(ChunkerEvaluator) Sentence #522 from 00102156 from sent11

Text  : Zawiadomienie lub doręczenie uważa się za dokonane po upływie czternastu dni od daty ogłoszenia w_ internecie i_ na tablicy ogłoszeń w_ siedzibie Urzędu Miejskiego w_ Białymstoku na parterze budynku przy ul ._ Słonimskiej 1_ ,_ to jest do dnia 15 września 2011 r_ ._
Tokens: 1____________ 2__ 3_________ 4____ 5__ 6_ 7_______ 8_ 9______ 10________ 11_ 12 13__ 14________ 15 16________ 17 18 19_____ 20______ 21 22_______ 23____ 24________ 25 26_________ 27 28______ 29_____ 30__ 31 32 33_________ 34 35 36 37__ 38 39__ 40 41______ 42__ 43 44

Chunks:
  TruePositive nam [16,16] = internecie (confidence=0.91)
  TruePositive nam [33,33] = Słonimskiej (confidence=1.00)
  FalsePositive nam [23,24] = Urzędu Miejskiego (confidence=1.00) (incorrect boundry)
  FalsePositive nam [26,26] = Białymstoku (confidence=1.00) (incorrect boundry)
  FalseNegative nam [23,26] = Urzędu Miejskiego w Białymstoku

(ChunkerEvaluator) Sentence #523 from 00102156 from sent12

Text  : Od niniejszej decyzji służy stronom odwołanie do Samorządowego Kolegium Odwoławczego w_ Białymstoku ul ._ Mickiewicza 3_ za moim pośrednictwem w_ terminie czternastu dni od dnia jej doręczenia ._
Tokens: 1_ 2_________ 3______ 4____ 5______ 6________ 7_ 8____________ 9_______ 10__________ 11 12_________ 13 14 15_________ 16 17 18__ 19___________ 20 21______ 22________ 23_ 24 25__ 26_ 27________ 28

Chunks:
  TruePositive nam [15,15] = Mickiewicza (confidence=1.00)
  FalsePositive nam [8,10] = Samorządowego Kolegium Odwoławczego (confidence=1.00) (incorrect boundry)
  FalsePositive nam [12,12] = Białymstoku (confidence=1.00) (incorrect boundry)
  FalseNegative nam [8,12] = Samorządowego Kolegium Odwoławczego w Białymstoku

(ChunkerEvaluator) Sentence #524 from 00102156 from sent13

Text  : Zgodnie z art . 49 ustawy Kodeks postępowania administracyjnego (_ Dz ._ U_ ._ z_ 2000r ._
Tokens: 1______ 2 3__ 4 5_ 6_____ 7_____ 8___________ 9________________ 10 11 12 13 14 15 16___ 17

Chunks:
  TruePositive nam [7,9] = Kodeks postępowania administracyjnego (confidence=0.96)
  TruePositive nam [11,14] = Dz . U . (confidence=1.00)

(ChunkerEvaluator) Sentence #525 from 00102156 from sent14

Text  : Nr 98 , poz . 1071 ze zm . )_ w_ przypadku zawiadomienia stron przez obwieszczenie ,_ doręczenie uważa się za dokonane po upływie czternastu dni od publicznego ogłoszenia ._
Tokens: 1_ 2_ 3 4__ 5 6___ 7_ 8_ 9 10 11 12_______ 13___________ 14___ 15___ 16___________ 17 18________ 19___ 20_ 21 22______ 23 24_____ 25________ 26_ 27 28_________ 29________ 30

Chunks:

2017-06-14 20:24:22,998 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 34 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102161.xml
(ChunkerEvaluator) Sentence #526 from 00102161 from sent1

Text  : Miasto Radom położone jest w centralnej Polsce w południowej części województwa mazowieckiego na Równinie Radomskiej (_ 150 -_ 200 m_ n_ ._ p_ ._ m_ ._ )_ będącej częścią Niziny Mazowieckiej ._
Tokens: 1_____ 2____ 3_______ 4___ 5 6_________ 7_____ 8 9__________ 10____ 11_________ 12___________ 13 14______ 15________ 16 17_ 18 19_ 20 21 22 23 24 25 26 27 28_____ 29_____ 30____ 31__________ 32

Chunks:
  TruePositive nam [7,7] = Polsce (confidence=1.00)
  TruePositive nam [12,12] = mazowieckiego (confidence=0.98)
  TruePositive nam [14,15] = Równinie Radomskiej (confidence=0.85)
  TruePositive nam [30,31] = Niziny Mazowieckiej (confidence=1.00)
  FalsePositive nam [1,2] = Miasto Radom (confidence=0.43) (incorrect boundry)
  FalseNegative nam [2,2] = Radom

(ChunkerEvaluator) Sentence #527 from 00102161 from sent2

Text  : Zajmuje powierzchnię 111 , 8 km2 .
Tokens: 1______ 2___________ 3__ 4 5 6__ 7

Chunks:

(ChunkerEvaluator) Sentence #528 from 00102161 from sent3

Text  : Miasto leży na skrzyżowaniu głównych szlaków komunikacyjnych ze wschodu na zachód i_ z_ północy na południe ,_ prowadzących do granic państwa ._
Tokens: 1_____ 2___ 3_ 4___________ 5_______ 6______ 7______________ 8_ 9______ 10 11____ 12 13 14_____ 15 16______ 17 18__________ 19 20____ 21_____ 22

Chunks:

(ChunkerEvaluator) Sentence #529 from 00102161 from sent4

Text  : Przecinają się tu następujące drogi krajowe : droga nr 7_ (_ Gdańsk -_ Kraków ,_ połączenie Europy Północnej z_ Adriatykiem )_ ,_ nr 8_ (_ przejście graniczne z_ Czechami w_ Kudowie Zdroju do przejścia granicznego z_ Litwą w_ Budzisku )_ ,_ nr 9_ (_ Radom –_ Rzeszów )_ ,_ nr 12 (_ Łódź -_ Lublin ,_ najkrótsze połączenie między Berlinem a_ Kijowem )_ ._
Tokens: 1_________ 2__ 3_ 4__________ 5____ 6______ 7 8____ 9_ 10 11 12____ 13 14____ 15 16________ 17____ 18_______ 19 20_________ 21 22 23 24 25 26_______ 27_______ 28 29______ 30 31_____ 32____ 33 34_______ 35_________ 36 37___ 38 39______ 40 41 42 43 44 45___ 46 47_____ 48 49 50 51 52 53__ 54 55____ 56 57________ 58________ 59____ 60______ 61 62_____ 63 64

Chunks:
  TruePositive nam [8,10] = droga nr 7 (confidence=0.85)
  TruePositive nam [17,18] = Europy Północnej (confidence=1.00)
  TruePositive nam [20,20] = Adriatykiem (confidence=0.97)
  TruePositive nam [29,29] = Czechami (confidence=0.98)
  TruePositive nam [31,32] = Kudowie Zdroju (confidence=1.00)
  TruePositive nam [37,37] = Litwą (confidence=1.00)
  TruePositive nam [39,39] = Budzisku (confidence=1.00)
  TruePositive nam [45,45] = Radom (confidence=0.68)
  TruePositive nam [47,47] = Rzeszów (confidence=0.89)
  TruePositive nam [60,60] = Berlinem (confidence=1.00)
  TruePositive nam [62,62] = Kijowem (confidence=0.82)
  FalsePositive nam [12,14] = Gdańsk - Kraków (confidence=0.99) (incorrect boundry)
  FalsePositive nam [53,55] = Łódź - Lublin (confidence=0.99) (incorrect boundry)
  FalseNegative nam [12,12] = Gdańsk
  FalseNegative nam [14,14] = Kraków
  FalseNegative nam [23,24] = nr 8
  FalseNegative nam [42,43] = nr 9
  FalseNegative nam [50,51] = nr 12
  FalseNegative nam [53,53] = Łódź
  FalseNegative nam [55,55] = Lublin

(ChunkerEvaluator) Sentence #530 from 00102161 from sent5

Text  : Ponadto Radom jest ważnym węzłem kolejowym , w którym krzyżują się linie I_ -_ rzędne o_ znaczeniu krajowym Warszawa –_ Radom –_ Kraków i_ Radom –_ Dęblin oraz linia Radom –_ Tomaszów Mazowiecki –_ Łódź ._
Tokens: 1______ 2____ 3___ 4_____ 5_____ 6________ 7 8 9_____ 10______ 11_ 12___ 13 14 15____ 16 17_______ 18______ 19______ 20 21___ 22 23____ 24 25___ 26 27____ 28__ 29___ 30___ 31 32______ 33________ 34 35__ 36

Chunks:
  TruePositive nam [2,2] = Radom (confidence=0.83)
  TruePositive nam [19,19] = Warszawa (confidence=0.97)
  TruePositive nam [21,21] = Radom (confidence=0.43)
  TruePositive nam [23,23] = Kraków (confidence=0.75)
  TruePositive nam [25,25] = Radom (confidence=0.98)
  TruePositive nam [27,27] = Dęblin (confidence=0.98)
  TruePositive nam [30,30] = Radom (confidence=0.89)
  TruePositive nam [32,33] = Tomaszów Mazowiecki (confidence=1.00)
  TruePositive nam [35,35] = Łódź (confidence=0.98)

(ChunkerEvaluator) Sentence #531 from 00102161 from sent6

Text  : Radom jest miastem na prawach powiatu grodzkiego .
Tokens: 1____ 2___ 3______ 4_ 5______ 6______ 7_________ 8

Chunks:
  FalsePositive nam [7,7] = grodzkiego (confidence=0.80) (incorrect boundry)
  FalseNegative nam [1,1] = Radom

(ChunkerEvaluator) Sentence #532 from 00102161 from sent7

Text  : Miasto sąsiaduje z gminami : Jedlińsk , Jastrzębia , Jedlnia Letnisko ,_ Gózd ,_ Skaryszew ,_ Kowala ,_ Wolanów oraz Zakrzów ._
Tokens: 1_____ 2________ 3 4______ 5 6_______ 7 8_________ 9 10_____ 11______ 12 13__ 14 15_______ 16 17____ 18 19_____ 20__ 21_____ 22

Chunks:
  TruePositive nam [6,6] = Jedlińsk (confidence=1.00)
  TruePositive nam [8,8] = Jastrzębia (confidence=1.00)
  TruePositive nam [10,11] = Jedlnia Letnisko (confidence=1.00)
  TruePositive nam [13,13] = Gózd (confidence=1.00)
  TruePositive nam [15,15] = Skaryszew (confidence=1.00)
  TruePositive nam [17,17] = Kowala (confidence=1.00)
  TruePositive nam [19,19] = Wolanów (confidence=1.00)
  TruePositive nam [21,21] = Zakrzów (confidence=1.00)

(ChunkerEvaluator) Sentence #533 from 00102161 from sent8

Text  : Tereny zielone i lasy stanowią zaledwie 7 % powierzchni miasta ._
Tokens: 1_____ 2______ 3 4___ 5_______ 6_______ 7 8 9__________ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #534 from 00102161 from sent9

Text  : Miasto położone jest nad rzeką Mleczną i znajduje się w_ dorzeczu środkowej Wisły i_ Pilicy ._
Tokens: 1_____ 2_______ 3___ 4__ 5____ 6______ 7 8_______ 9__ 10 11______ 12_______ 13___ 14 15____ 16

Chunks:
  TruePositive nam [6,6] = Mleczną (confidence=0.97)
  TruePositive nam [13,13] = Wisły (confidence=0.96)
  TruePositive nam [15,15] = Pilicy (confidence=0.99)

(ChunkerEvaluator) Sentence #535 from 00102161 from sent10

Text  : Teren miasta położony jest w rejonie o dominującym wpływie klimatu kontynentalnego ._
Tokens: 1____ 2_____ 3_______ 4___ 5 6______ 7 8__________ 9______ 10_____ 11_____________ 12

Chunks:

(ChunkerEvaluator) Sentence #536 from 00102161 from sent11

Text  : Głównymi czynnikami kształtującymi warunki klimatyczne tego rejonu są : położenie geograficzne ,_ ukształtowanie powierzchni ,_ wysokość bezwzględna i_ względna ,_ pokrycie terenu ,_ stopień zurbanizowania itp ._
Tokens: 1_______ 2_________ 3_____________ 4______ 5__________ 6___ 7_____ 8_ 9 10_______ 11__________ 12 13____________ 14_________ 15 16______ 17_________ 18 19______ 20 21______ 22____ 23 24_____ 25____________ 26_ 27

Chunks:

(ChunkerEvaluator) Sentence #537 from 00102161 from sent12

Text  : Warunki klimatyczne miasta Radom są typowe dla regionu łódzko -_ wieluńskiego ._
Tokens: 1______ 2__________ 3_____ 4____ 5_ 6_____ 7__ 8______ 9_____ 10 11__________ 12

Chunks:
  TruePositive nam [4,4] = Radom (confidence=0.98)
  FalseNegative nam [8,11] = regionu łódzko - wieluńskiego

(ChunkerEvaluator) Sentence #538 from 00102161 from sent13

Text  : Klimat jest tu stosunkowo chłodny , a średnia roczna temperatura powietrza waha się w_ granicach od 7_ ,_ 5_ do 8_ ,_ 00C ._
Tokens: 1_____ 2___ 3_ 4_________ 5______ 6 7 8______ 9_____ 10_________ 11_______ 12__ 13_ 14 15_______ 16 17 18 19 20 21 22 23_ 24

Chunks:

(ChunkerEvaluator) Sentence #539 from 00102161 from sent14

Text  : Czas zalegania pokrywy śnieżnej na wzniesieniach dochodzi do 75 dni ,_ a_ liczba dni z_ przymrozkami wynosi od 110 do 125 ._
Tokens: 1___ 2________ 3______ 4_______ 5_ 6____________ 7_______ 8_ 9_ 10_ 11 12 13____ 14_ 15 16__________ 17____ 18 19_ 20 21_ 22

Chunks:

(ChunkerEvaluator) Sentence #540 from 00102161 from sent15

Text  : Okres wegetacyjny w rejonie Radomia trwa około 200 dni ._
Tokens: 1____ 2__________ 3 4______ 5______ 6___ 7____ 8__ 9__ 10

Chunks:
  TruePositive nam [5,5] = Radomia (confidence=0.99)

(ChunkerEvaluator) Sentence #541 from 00102161 from sent16

Text  : Opady atmosferyczne na analizowanym obszarze są niższe od średniej dla województwa i_ wynoszą 605 mm (_ pomiary ze stacji opadowej Radom ;_ 18 lat )_ ._
Tokens: 1____ 2____________ 3_ 4___________ 5_______ 6_ 7_____ 8_ 9_______ 10_ 11_________ 12 13_____ 14_ 15 16 17_____ 18 19____ 20______ 21___ 22 23 24_ 25 26

Chunks:
  TruePositive nam [21,21] = Radom (confidence=0.63)

(ChunkerEvaluator) Sentence #542 from 00102161 from sent17

Text  : Zanotowany opad minimalny w tym okresie wyniósł 404 mm ,_ a_ maksymalny 841 mm ._
Tokens: 1_________ 2___ 3________ 4 5__ 6______ 7______ 8__ 9_ 10 11 12________ 13_ 14 15

Chunks:

2017-06-14 20:24:23,094 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 35 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102235.xml
(ChunkerEvaluator) Sentence #543 from 00102235 from sent1

Text  : „ 4 . Usługi w zakresie zatrudniania pracowników w celu ich skierowania do pracodawcy użytkownika ,_ którym może być pracodawca lub podmiot niebędący pracodawcą w_ rozumieniu Kodeksu pracy ,_ wykonują wyłącznie agencje pracy tymczasowej ._ Pracodawca użytkownik wyznacza pracownikowi agencji pracy tymczasowej zadania i_ kontroluje ich wykonanie ._ ”_ ._
Tokens: 1 2 3 4_____ 5 6_______ 7___________ 8__________ 9 10__ 11_ 12_________ 13 14________ 15_________ 16 17____ 18__ 19_ 20________ 21_ 22_____ 23_______ 24________ 25 26________ 27_____ 28___ 29 30______ 31_______ 32_____ 33___ 34_________ 35 36________ 37________ 38______ 39__________ 40_____ 41___ 42_________ 43_____ 44 45________ 46_ 47_______ 48 49 50

Chunks:
  FalsePositive nam [27,28] = Kodeksu pracy (confidence=0.98) (incorrect boundry)

(ChunkerEvaluator) Sentence #544 from 00102235 from sent2

Text  : Art . 32 .
Tokens: 1__ 2 3_ 4

Chunks:

(ChunkerEvaluator) Sentence #545 from 00102235 from sent3

Text  : Przepis art . 21 stosuje się od dnia przystąpienia Rzeczypospolitej Polskiej do Unii Europejskiej ._
Tokens: 1______ 2__ 3 4_ 5______ 6__ 7_ 8___ 9____________ 10______________ 11______ 12 13__ 14__________ 15

Chunks:
  TruePositive nam [10,11] = Rzeczypospolitej Polskiej (confidence=1.00)
  TruePositive nam [13,14] = Unii Europejskiej (confidence=0.97)

(ChunkerEvaluator) Sentence #546 from 00102235 from sent4

Text  : Art . 33 .
Tokens: 1__ 2 3_ 4

Chunks:

(ChunkerEvaluator) Sentence #547 from 00102235 from sent5

Text  : Ustawa wchodzi w życie z dniem 1 stycznia 2004 r_ ._
Tokens: 1_____ 2______ 3 4____ 5 6____ 7 8_______ 9___ 10 11

Chunks:

2017-06-14 20:24:23,117 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 36 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102272.xml
(ChunkerEvaluator) Sentence #548 from 00102272 from sent1

Text  : Do czego służy prawo autorskie ?
Tokens: 1_ 2____ 3____ 4____ 5________ 6

Chunks:

(ChunkerEvaluator) Sentence #549 from 00102272 from sent2

Text  : Gazeta.pl cytuje wypowiedź Anny Pękali z Teatru Narodowego , która mówi ,_ dlaczego nie wolno robić zdjęć podczas uroczystości z_ okazji 40 ._ rocznicy zdjęcia (_ he ,_ he )_ "_ Dziadów "_ :_ Powody są dwa ._
Tokens: 1________ 2_____ 3________ 4___ 5_____ 6 7_____ 8_________ 9 10___ 11__ 12 13______ 14_ 15___ 16___ 17___ 18_____ 19__________ 20 21____ 22 23 24______ 25_____ 26 27 28 29 30 31 32_____ 33 34 35____ 36 37_ 38

Chunks:
  TruePositive nam [1,1] = Gazeta.pl (confidence=0.97)
  TruePositive nam [4,5] = Anny Pękali (confidence=1.00)
  TruePositive nam [7,8] = Teatru Narodowego (confidence=0.71)
  TruePositive nam [32,32] = Dziadów (confidence=0.96)

(ChunkerEvaluator) Sentence #550 from 00102272 from sent3

Text  : Pierwszy - teatr nie ma praw do materiałów archiwalnych ,_ które będziemy wyświetlać podczas uroczystości ,_ a_ te służyły by fotoreporterom jako tło do zdjęć ._
Tokens: 1_______ 2 3____ 4__ 5_ 6___ 7_ 8_________ 9___________ 10 11___ 12______ 13________ 14_____ 15__________ 16 17 18 19_____ 20 21____________ 22__ 23_ 24 25___ 26

Chunks:

(ChunkerEvaluator) Sentence #551 from 00102272 from sent4

Text  : Jak już wiemy , rzecz dotyczy czterdziestej rocznicy inscenizacji utworu napisanego jakieś 170 lat temu ._
Tokens: 1__ 2__ 3____ 4 5____ 6______ 7____________ 8_______ 9___________ 10____ 11________ 12____ 13_ 14_ 15__ 16

Chunks:

2017-06-14 20:24:23,142 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 37 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102401.xml
(ChunkerEvaluator) Sentence #552 from 00102401 from sent1

Text  : Z okazji Finału Wielkiej Orkiestry Świątecznej Pomocy ukazał się specjalny numer magazynu "_ Outro "_ ._
Tokens: 1 2_____ 3_____ 4_______ 5________ 6__________ 7_____ 8_____ 9__ 10_______ 11___ 12______ 13 14___ 15 16

Chunks:
  TruePositive nam [3,7] = Finału Wielkiej Orkiestry Świątecznej Pomocy (confidence=1.00)
  TruePositive nam [14,14] = Outro (confidence=0.80)

(ChunkerEvaluator) Sentence #553 from 00102401 from sent2

Text  : Jest to " Outro " szczególne , powstało bowiem we współpracy z_ byłymi i_ aktualnymi uczestnikami WOŚP ._
Tokens: 1___ 2_ 3 4____ 5 6_________ 7 8_______ 9_____ 10 11________ 12 13____ 14 15________ 16__________ 17__ 18

Chunks:
  TruePositive nam [4,4] = Outro (confidence=0.86)
  TruePositive nam [17,17] = WOŚP (confidence=0.99)

(ChunkerEvaluator) Sentence #554 from 00102401 from sent3

Text  : To ich opinie , wspomnienia i historie dotyczące Wielkiej Orkiestry stały się podstawą dla tego wydania ._
Tokens: 1_ 2__ 3_____ 4 5__________ 6 7_______ 8________ 9_______ 10_______ 11___ 12_ 13______ 14_ 15__ 16_____ 17

Chunks:
  FalseNegative nam [9,10] = Wielkiej Orkiestry

(ChunkerEvaluator) Sentence #555 from 00102401 from sent4

Text  : Dowiedzcie się , kto może powiedzieć WOŚP-owi " dziękuję ,_ że żyję "_ ,_ jak wyglądał pierwszy finał i_ początki akcji ,_ jeszcze w_ czasach przedinternetowych ._
Tokens: 1_________ 2__ 3 4__ 5___ 6_________ 7_______ 8 9_______ 10 11 12__ 13 14 15_ 16______ 17______ 18___ 19 20______ 21___ 22 23_____ 24 25_____ 26________________ 27

Chunks:
  TruePositive nam [7,7] = WOŚP-owi (confidence=0.98)

2017-06-14 20:24:23,164 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 38 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102416.xml
(ChunkerEvaluator) Sentence #556 from 00102416 from sent1

Text  : Magazyn " Make " to fascynujące pismo dla majsterkowiczów ery cyfrowej ._
Tokens: 1______ 2 3___ 4 5_ 6__________ 7____ 8__ 9______________ 10_ 11______ 12

Chunks:
  TruePositive nam [3,3] = Make (confidence=0.93)
  FalsePositive nam [1,1] = Magazyn (confidence=0.65) (incorrect boundry)

(ChunkerEvaluator) Sentence #557 from 00102416 from sent2

Text  : Nie żeby m potrafił zrobić cokolwiek z tego , co proponowane jest czytelnikom na łamach ,_ ale sentyment jaki mi pozostał z_ czasów młodości (_ gdy przynajmniej próbował em wykonać co poniektóre z_ konstrukcji Adama Słodowego )_ do etosu Zrób To Sam powoduje ,_ że czytuję "_ Make "_ regularnie ._
Tokens: 1__ 2___ 3 4_______ 5_____ 6________ 7 8___ 9 10 11_________ 12__ 13_________ 14 15____ 16 17_ 18_______ 19__ 20 21______ 22 23____ 24______ 25 26_ 27__________ 28______ 29 30_____ 31 32________ 33 34_________ 35___ 36_______ 37 38 39___ 40__ 41 42_ 43______ 44 45 46_____ 47 48__ 49 50________ 51

Chunks:
  TruePositive nam [35,36] = Adama Słodowego (confidence=1.00)
  TruePositive nam [40,42] = Zrób To Sam (confidence=1.00)
  TruePositive nam [48,48] = Make (confidence=0.95)

(ChunkerEvaluator) Sentence #558 from 00102416 from sent3

Text  : Na ich blogu pojawiła się właśnie lista open - sourcowych ,_ DIY lutownicą i_ kompilatorem prezentów gwiazdkowych ._
Tokens: 1_ 2__ 3____ 4_______ 5__ 6______ 7____ 8___ 9 10________ 11 12_ 13_______ 14 15__________ 16_______ 17__________ 18

Chunks:
  FalsePositive nam [12,12] = DIY (confidence=0.81) (incorrect boundry)

(ChunkerEvaluator) Sentence #559 from 00102416 from sent4

Text  : W czasach Ebaya nie jest trudno się w nie zaopatrzyć i_ w_ Polsce ,_ polecam zwłaszcza te które nie kosztują nic ,_ jak na przykład Ubuntu które Mark Shuttleworth dostarczy ci gratis na wycieraczkę ._
Tokens: 1 2______ 3____ 4__ 5___ 6_____ 7__ 8 9__ 10________ 11 12 13____ 14 15_____ 16_______ 17 18___ 19_ 20______ 21_ 22 23_ 24 25______ 26____ 27___ 28__ 29__________ 30_______ 31 32____ 33 34_________ 35

Chunks:
  TruePositive nam [3,3] = Ebaya (confidence=0.99)
  TruePositive nam [13,13] = Polsce (confidence=1.00)
  TruePositive nam [26,26] = Ubuntu (confidence=0.99)
  TruePositive nam [28,29] = Mark Shuttleworth (confidence=0.80)

(ChunkerEvaluator) Sentence #560 from 00102416 from sent5

Text  : Ja chcę robota .
Tokens: 1_ 2___ 3_____ 4

Chunks:

(ChunkerEvaluator) Sentence #561 from 00102416 from sent6

Text  : Prawda , że słodki ?
Tokens: 1_____ 2 3_ 4_____ 5

Chunks:

2017-06-14 20:24:23,197 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 39 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102432.xml
(ChunkerEvaluator) Sentence #562 from 00102432 from sent1

Text  : Rob van Kranenburg ( 1964 ) jest teoretykiem mediów i_ innowacji ._
Tokens: 1__ 2__ 3_________ 4 5___ 6 7___ 8__________ 9_____ 10 11_______ 12

Chunks:
  TruePositive nam [1,3] = Rob van Kranenburg (confidence=1.00)

(ChunkerEvaluator) Sentence #563 from 00102432 from sent2

Text  : Zajmuje się strategiami negocjacji nowych technologii i praktyki artystycznej ,_ w_ szczególności związanymi z_ ubicomp (_ wszechobecną komputeryzacją )_ oraz rfid (_ identyfikacją poprzez fale radiowe )_ ;_ związkiem między formalną i_ nieformalną polityką kulturalną i_ ekonomiczną ;_ oraz wymogami zrównoważonej ekonomii kulturowej ._
Tokens: 1______ 2__ 3__________ 4_________ 5_____ 6__________ 7 8_______ 9___________ 10 11 12___________ 13________ 14 15_____ 16 17__________ 18____________ 19 20__ 21__ 22 23___________ 24_____ 25__ 26_____ 27 28 29_______ 30____ 31______ 32 33_________ 34______ 35________ 36 37_________ 38 39__ 40______ 41___________ 42______ 43________ 44

Chunks:

(ChunkerEvaluator) Sentence #564 from 00102432 from sent3

Text  : Ronaldem Soetaertem na Wydziale Edukacji Uniwersytetu w Ghent nad pojęciami ,_ metodami uczenia i_ modułami nauczania online wynikającymi z_ idei multiliteracies ._
Tokens: 1_______ 2_________ 3_ 4_______ 5_______ 6___________ 7 8____ 9__ 10_______ 11 12______ 13_____ 14 15______ 16_______ 17____ 18__________ 19 20__ 21_____________ 22

Chunks:
  TruePositive nam [6,6] = Uniwersytetu (confidence=0.57)
  TruePositive nam [8,8] = Ghent (confidence=1.00)
  FalsePositive nam [2,2] = Soetaertem (confidence=0.99) (incorrect boundry)
  FalsePositive nam [4,5] = Wydziale Edukacji (confidence=0.98) (incorrect boundry)
  FalseNegative nam [1,2] = Ronaldem Soetaertem

(ChunkerEvaluator) Sentence #565 from 00102432 from sent4

Text  : W 2000 roku został koordynatorem programów edukacji medialnej w centrum kultury i_ polityki de Balie w_ Amsterdamie oraz nauczycielem -_ koordynatorem programu nowych mediów na Wydziale Filmu i_ Telewizji na Uniwersytecie w_ Amsterdamie ._
Tokens: 1 2___ 3___ 4_____ 5____________ 6________ 7_______ 8________ 9 10_____ 11_____ 12 13______ 14 15___ 16 17_________ 18__ 19__________ 20 21___________ 22______ 23____ 24____ 25 26______ 27___ 28 29_______ 30 31___________ 32 33_________ 34

Chunks:
  TruePositive nam [17,17] = Amsterdamie (confidence=1.00)
  TruePositive nam [26,29] = Wydziale Filmu i Telewizji (confidence=1.00)
  TruePositive nam [31,31] = Uniwersytecie (confidence=0.92)
  TruePositive nam [33,33] = Amsterdamie (confidence=1.00)
  FalsePositive nam [15,15] = Balie (confidence=0.90) (incorrect boundry)
  FalseNegative nam [14,15] = de Balie

(ChunkerEvaluator) Sentence #566 from 00102432 from sent5

Text  : Odnosząc wrażenie , iż jest to zbyt młoda dziedzina badań ,_ by skupiać się na opisywaniu jej historii ,_ rozpoczął współpracę z_ projektem Doors of Perception i_ zredagował razem z_ Johnem Thackarą Doors 7_ pod tytułem “_ Flow ,_ the design challenge of pervasive computing ”_ ._
Tokens: 1_______ 2_______ 3 4_ 5___ 6_ 7___ 8____ 9________ 10___ 11 12 13_____ 14_ 15 16________ 17_ 18______ 19 20_______ 21________ 22 23_______ 24___ 25 26________ 27 28________ 29___ 30 31____ 32______ 33___ 34 35_ 36_____ 37 38__ 39 40_ 41____ 42_______ 43 44_______ 45_______ 46 47

Chunks:
  TruePositive nam [24,26] = Doors of Perception (confidence=1.00)
  FalsePositive nam [31,31] = Johnem (confidence=1.00) (incorrect boundry)
  FalsePositive nam [32,33] = Thackarą Doors (confidence=0.76) (incorrect boundry)
  FalsePositive nam [38,38] = Flow (confidence=0.99) (incorrect boundry)
  FalsePositive nam [40,45] = the design challenge of pervasive computing (confidence=0.73) (incorrect boundry)
  FalseNegative nam [31,32] = Johnem Thackarą
  FalseNegative nam [33,34] = Doors 7
  FalseNegative nam [38,45] = Flow , the design challenge of pervasive computing

(ChunkerEvaluator) Sentence #567 from 00102432 from sent6

Text  : W 2003 roku prowadził kurs doktorancki poświęcony performansowi , teatrowi i_ sztuce w_ ramach APT ,_ Arts Performance Theatricality ._
Tokens: 1 2___ 3___ 4________ 5___ 6__________ 7_________ 8____________ 9 10______ 11 12____ 13 14____ 15_ 16 17__ 18_________ 19___________ 20

Chunks:
  TruePositive nam [15,15] = APT (confidence=1.00)
  TruePositive nam [17,19] = Arts Performance Theatricality (confidence=0.95)

(ChunkerEvaluator) Sentence #568 from 00102432 from sent7

Text  : Przez ostatnie trzy lata pracował na niepełnym etacie jako współdyrektor ,_ a_ obecnie menadżer projektów ,_ w_ Virtual Platform ,_ holenderskiej organizacji zajmującej się polityką e_ -_ kulturową ._
Tokens: 1____ 2_______ 3___ 4___ 5_______ 6_ 7________ 8_____ 9___ 10___________ 11 12 13_____ 14______ 15_______ 16 17 18_____ 19______ 20 21___________ 22_________ 23________ 24_ 25______ 26 27 28_______ 29

Chunks:
  TruePositive nam [18,19] = Virtual Platform (confidence=1.00)

(ChunkerEvaluator) Sentence #569 from 00102432 from sent8

Text  : Wykłada teorię mediów zlokalizowanych w Post St Joost ( studia magisterskie o_ Sztuce Autonomicznej )_ ,_ HKU EMMA (_ studia magisterskie o_ projektowaniu interakcji )_ oraz wzornictwo przemysłowe na Uniwersytecie Technicznym w_ Eindhoven ._
Tokens: 1______ 2_____ 3_____ 4______________ 5 6___ 7_ 8____ 9 10____ 11__________ 12 13____ 14___________ 15 16 17_ 18__ 19 20____ 21__________ 22 23___________ 24________ 25 26__ 27________ 28_________ 29 30___________ 31_________ 32 33_______ 34

Chunks:
  TruePositive nam [6,8] = Post St Joost (confidence=1.00)
  TruePositive nam [17,18] = HKU EMMA (confidence=1.00)
  TruePositive nam [30,31] = Uniwersytecie Technicznym (confidence=1.00)
  TruePositive nam [33,33] = Eindhoven (confidence=0.99)
  FalsePositive nam [13,14] = Sztuce Autonomicznej (confidence=0.88) (incorrect boundry)

(ChunkerEvaluator) Sentence #570 from 00102432 from sent9

Text  : Od września 2007 będzie przewodził nowemu programowi studiów licencjackich z_ projektowania doświadczeń ambientalnych w_ HKU ,_ Hilversum ._
Tokens: 1_ 2_______ 3___ 4_____ 5_________ 6_____ 7_________ 8______ 9____________ 10 11___________ 12_________ 13___________ 14 15_ 16 17_______ 18

Chunks:
  TruePositive nam [15,15] = HKU (confidence=1.00)
  TruePositive nam [17,17] = Hilversum (confidence=1.00)

2017-06-14 20:24:23,265 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 40 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102434.xml
(ChunkerEvaluator) Sentence #571 from 00102434 from sent1

Text  : Głowacki też korzystał z pomocy olbrzymów
Tokens: 1_______ 2__ 3________ 4 5_____ 6________

Chunks:
  FalseNegative nam [1,1] = Głowacki

(ChunkerEvaluator) Sentence #572 from 00102434 from sent2

Text  : Janusz Głowacki we wstępie do zbioru swoich sztuk “ Pięć i_ pół ”_ pisze o_ zapożyczeniach ._
Tokens: 1_____ 2_______ 3_ 4______ 5_ 6_____ 7_____ 8____ 9 10__ 11 12_ 13 14___ 15 16____________ 17

Chunks:
  TruePositive nam [1,2] = Janusz Głowacki (confidence=1.00)
  TruePositive nam [10,12] = Pięć i pół (confidence=0.67)

(ChunkerEvaluator) Sentence #573 from 00102434 from sent3

Text  : To dobrze , że znany polski dramaturg mówi wprost ,_ że kultura opiera się na zapożyczeniu ,_ “_ ściąganiu ”_ (_ ja powiedział by m_ -_ remiksie )_ ._
Tokens: 1_ 2_____ 3 4_ 5____ 6_____ 7________ 8___ 9_____ 10 11 12_____ 13____ 14_ 15 16__________ 17 18 19_______ 20 21 22 23________ 24 25 26 27______ 28 29

Chunks:

(ChunkerEvaluator) Sentence #574 from 00102434 from sent4

Text  : Po wydrukowaniu " Czwartej siostry " w " Dialogu "_ jeden wpływowy polski krytyk zauważył ,_ że "_ pomysł jest brutalnie ściągnięty z_ Czechowa "_ ._
Tokens: 1_ 2___________ 3 4_______ 5______ 6 7 8 9______ 10 11___ 12______ 13____ 14____ 15______ 16 17 18 19____ 20__ 21_______ 22________ 23 24______ 25 26

Chunks:
  TruePositive nam [9,9] = Dialogu (confidence=0.76)
  TruePositive nam [24,24] = Czechowa (confidence=0.98)
  FalseNegative nam [4,5] = Czwartej siostry

(ChunkerEvaluator) Sentence #575 from 00102434 from sent5

Text  : Niestety , nie jest to moja pierwsza kradzież .
Tokens: 1_______ 2 3__ 4___ 5_ 6___ 7_______ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #576 from 00102434 from sent6

Text  : W " Kopciuchu " przeleciał em się po kieszeniach braci Grimm ._
Tokens: 1 2 3________ 4 5_________ 6_ 7__ 8_ 9__________ 10___ 11___ 12

Chunks:
  TruePositive nam [3,3] = Kopciuchu (confidence=0.69)
  TruePositive nam [11,11] = Grimm (confidence=1.00)

(ChunkerEvaluator) Sentence #577 from 00102434 from sent7

Text  : " Antygoną w Nowym Jorku " walnął em Sofoklesa itd ._
Tokens: 1 2_______ 3 4____ 5____ 6 7_____ 8_ 9________ 10_ 11

Chunks:
  TruePositive nam [9,9] = Sofoklesa (confidence=0.99)
  FalsePositive nam [4,5] = Nowym Jorku (confidence=1.00) (incorrect boundry)
  FalseNegative nam [2,5] = Antygoną w Nowym Jorku

(ChunkerEvaluator) Sentence #578 from 00102434 from sent8

Text  : Odwagi dodawał mi fakt , że po świecie grasuje całkiem spora ,_ wzajemnie się popierająca szajka ._
Tokens: 1_____ 2______ 3_ 4___ 5 6_ 7_ 8______ 9______ 10_____ 11___ 12 13_______ 14_ 15_________ 16____ 17

Chunks:

(ChunkerEvaluator) Sentence #579 from 00102434 from sent9

Text  : Nie chcę donosić , więc nie podam nazwisk , tylko niektóre tytuły ,_ np ._ "_ Rosenkrantz i_ Guildenstern nie żyją "_ ,_ "_ Przedstawienie "_ Hamleta "_ we wsi Głucha Dolna "_ ,_ "_ Powiatowa Lady Makbet "_ ,_ "_ Odprawa posłów greckich "_ i_ wiele innych ._
Tokens: 1__ 2___ 3______ 4 5___ 6__ 7____ 8______ 9 10___ 11______ 12____ 13 14 15 16 17_________ 18 19__________ 20_ 21__ 22 23 24 25____________ 26 27_____ 28 29 30_ 31____ 32___ 33 34 35 36_______ 37__ 38____ 39 40 41 42_____ 43____ 44______ 45 46 47___ 48____ 49

Chunks:
  TruePositive nam [36,38] = Powiatowa Lady Makbet (confidence=0.99)
  FalsePositive nam [17,17] = Rosenkrantz (confidence=0.82) (incorrect boundry)
  FalsePositive nam [19,19] = Guildenstern (confidence=0.62) (incorrect boundry)
  FalsePositive nam [25,27] = Przedstawienie " Hamleta (confidence=0.90) (incorrect boundry)
  FalsePositive nam [31,32] = Głucha Dolna (confidence=0.99) (incorrect boundry)
  FalseNegative nam [17,21] = Rosenkrantz i Guildenstern nie żyją
  FalseNegative nam [25,32] = Przedstawienie " Hamleta " we wsi Głucha Dolna
  FalseNegative nam [42,44] = Odprawa posłów greckich

(ChunkerEvaluator) Sentence #580 from 00102434 from sent10

Text  : Z tego miejsca apeluję do sumienia autorów , tych ,_ co żyją ._
Tokens: 1 2___ 3______ 4______ 5_ 6_______ 7______ 8 9___ 10 11 12__ 13

Chunks:

2017-06-14 20:24:23,316 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 41 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102442.xml
(ChunkerEvaluator) Sentence #581 from 00102442 from sent1

Text  : Igor Stokfiszewski o ( wolnych ) lekturach
Tokens: 1___ 2____________ 3 4 5______ 6 7________

Chunks:
  TruePositive nam [1,2] = Igor Stokfiszewski (confidence=1.00)

(ChunkerEvaluator) Sentence #582 from 00102442 from sent2

Text  : Tygodnik Powszechny opublikował tekst Igora Stokfiszewskiego “ Lektury dla pokolenia WWW ”_ -_ o_ projekcie wolne lektury ,_ a_ przede wszystkim o_ trudnościach z_ udostępnianiem naszego wspólnego dziedzictwa ,_ wynikających z_ kształtu obowiązującego systemu prawa autorskiego ._
Tokens: 1_______ 2_________ 3__________ 4____ 5____ 6_______________ 7 8______ 9__ 10_______ 11_ 12 13 14 15_______ 16___ 17_____ 18 19 20____ 21_______ 22 23__________ 24 25____________ 26_____ 27_______ 28_________ 29 30__________ 31 32______ 33____________ 34_____ 35___ 36_________ 37

Chunks:
  TruePositive nam [1,2] = Tygodnik Powszechny (confidence=0.98)
  TruePositive nam [5,6] = Igora Stokfiszewskiego (confidence=1.00)
  FalsePositive nam [8,8] = Lektury (confidence=0.83) (incorrect boundry)
  FalsePositive nam [11,11] = WWW (confidence=0.98) (incorrect boundry)
  FalseNegative nam [8,11] = Lektury dla pokolenia WWW

(ChunkerEvaluator) Sentence #583 from 00102442 from sent3

Text  : Polecam lekturę całości , a na zachętę fragment dobrze pokazujący ,_ że prawo autorskie nie jest mechanizmem wyrytym w_ skale ,_ lecz zmienną konstrukcją ,_ której kontrola nad kulturą się niestety nasila :_
Tokens: 1______ 2______ 3______ 4 5 6_ 7______ 8_______ 9_____ 10________ 11 12 13___ 14_______ 15_ 16__ 17_________ 18_____ 19 20___ 21 22__ 23_____ 24_________ 25 26____ 27______ 28_ 29_____ 30_ 31______ 32____ 33

Chunks:

(ChunkerEvaluator) Sentence #584 from 00102442 from sent4

Text  : Bruno Schulz poniósł śmierć w 1942 r .
Tokens: 1____ 2_____ 3______ 4_____ 5 6___ 7 8

Chunks:
  TruePositive nam [1,2] = Bruno Schulz (confidence=1.00)

(ChunkerEvaluator) Sentence #585 from 00102442 from sent5

Text  : Zgodnie z powojennym prawem od 1968 r . jego dorobek stał się własnością powszechną i_ nie objęła go ustawa z_ 1994 r_ ._ (_ wydłużony okres ochronny w_ przypadku tego pisarza upłynął dwa lata wcześniej )_ ._
Tokens: 1______ 2 3_________ 4_____ 5_ 6___ 7 8 9___ 10_____ 11__ 12_ 13________ 14________ 15 16_ 17____ 18 19____ 20 21__ 22 23 24 25_______ 26___ 27______ 28 29_______ 30__ 31_____ 32_____ 33_ 34__ 35_______ 36 37

Chunks:

(ChunkerEvaluator) Sentence #586 from 00102442 from sent6

Text  : Ale od roku 2000 jego pisarstwo znów zostało wspólnocie odebrane ._
Tokens: 1__ 2_ 3___ 4___ 5___ 6________ 7___ 8______ 9_________ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #587 from 00102442 from sent7

Text  : Prawa autorskie wygasną w 2012 roku .
Tokens: 1____ 2________ 3______ 4 5___ 6___ 7

Chunks:

(ChunkerEvaluator) Sentence #588 from 00102442 from sent8

Text  : To niedługo , ale już rok 2075 powinien przemówić nam do wyobraźni :_ wtedy do domeny publicznej trafią utwory Czesława Miłosza ._
Tokens: 1_ 2_______ 3 4__ 5__ 6__ 7___ 8_______ 9________ 10_ 11 12_______ 13 14___ 15 16____ 17________ 18____ 19____ 20______ 21_____ 22

Chunks:
  TruePositive nam [20,21] = Czesława Miłosza (confidence=1.00)

2017-06-14 20:24:23,360 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 42 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102445.xml
(ChunkerEvaluator) Sentence #589 from 00102445 from sent1

Text  : Nie , nie są to imiona wszystkich Transformersów - lecz nazwy programów stosowanych przez firmę MediaDefender do zanieczyszczania /_ walki z_ sieciami wymiany torrentów ._
Tokens: 1__ 2 3__ 4_ 5_ 6_____ 7_________ 8_____________ 9 10__ 11___ 12_______ 13_________ 14___ 15___ 16___________ 17 18______________ 19 20___ 21 22______ 23_____ 24_______ 25

Chunks:
  TruePositive nam [8,8] = Transformersów (confidence=0.91)
  TruePositive nam [16,16] = MediaDefender (confidence=0.97)

(ChunkerEvaluator) Sentence #590 from 00102445 from sent2

Text  : Dla tych , którzy nie śledzą sprawy - różnorakie wewnętrzne komunikacje tej firmy ,_ w_ szczególności masa emaili ,_ wyciekały w_ ostatnich dniach dzięki działaniom grupy o_ nazwie MediaDefender -_ Defenders ,_ i_ oferuje fascynujący wgląd we front działań anty -_ pirackich ._
Tokens: 1__ 2___ 3 4_____ 5__ 6_____ 7_____ 8 9_________ 10________ 11_________ 12_ 13___ 14 15 16___________ 17__ 18____ 19 20_______ 21 22_______ 23____ 24____ 25________ 26___ 27 28____ 29___________ 30 31_______ 32 33 34_____ 35_________ 36___ 37 38___ 39_____ 40__ 41 42_______ 43

Chunks:
  TruePositive nam [29,31] = MediaDefender - Defenders (confidence=1.00)

(ChunkerEvaluator) Sentence #591 from 00102445 from sent3

Text  : Nazwy programów , języków programowania , itp . to bardzo fajna sprawa -_ tak jakby informatycy z_ pożytkiem kondensowali zdolności lingwistyczne ,_ trudne do wykorzystania w_ ich zawodzie ,_ na tym jakże krótkim odcinku ._
Tokens: 1____ 2________ 3 4______ 5____________ 6 7__ 8 9_ 10____ 11___ 12____ 13 14_ 15___ 16_________ 17 18_______ 19__________ 20_______ 21___________ 22 23____ 24 25___________ 26 27_ 28______ 29 30 31_ 32___ 33_____ 34_____ 35

Chunks:

2017-06-14 20:24:23,387 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 43 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102476.xml
(ChunkerEvaluator) Sentence #592 from 00102476 from sent1

Text  : Towarzystwo Przyjaciół Ozorkowa zaprasza na IV Historyczny Spacer po Ozorkowie ._
Tokens: 1__________ 2_________ 3_______ 4_______ 5_ 6_ 7__________ 8_____ 9_ 10_______ 11

Chunks:
  TruePositive nam [1,3] = Towarzystwo Przyjaciół Ozorkowa (confidence=0.77)
  FalsePositive nam [6,8] = IV Historyczny Spacer (confidence=0.96) (incorrect boundry)
  FalsePositive nam [10,10] = Ozorkowie (confidence=1.00) (incorrect boundry)
  FalseNegative nam [6,10] = IV Historyczny Spacer po Ozorkowie

(ChunkerEvaluator) Sentence #593 from 00102476 from sent2

Text  : Tym razem poznamy historię parafii i kościoła ewangelicko - augsburskiego p_ ._ w_ ._ 12 Apostołów Jezusa Chrystusa ._
Tokens: 1__ 2____ 3______ 4_______ 5______ 6 7_______ 8__________ 9 10___________ 11 12 13 14 15 16_______ 17____ 18_______ 19

Chunks:
  FalsePositive nam [15,16] = 12 Apostołów (confidence=0.75) (incorrect boundry)
  FalsePositive nam [17,18] = Jezusa Chrystusa (confidence=0.71) (incorrect boundry)
  FalseNegative nam [15,18] = 12 Apostołów Jezusa Chrystusa

(ChunkerEvaluator) Sentence #594 from 00102476 from sent3

Text  : Zbiórka przed kościołem ( ul . Średnia 1 ) 20 maja o_ godz ._ 15 ._ 00 ._
Tokens: 1______ 2____ 3________ 4 5_ 6 7______ 8 9 10 11__ 12 13__ 14 15 16 17 18

Chunks:
  FalsePositive nam [7,8] = Średnia 1 (confidence=0.98) (incorrect boundry)
  FalseNegative nam [7,7] = Średnia

(ChunkerEvaluator) Sentence #595 from 00102476 from sent4

Text  : Zapraszamy !
Tokens: 1_________ 2

Chunks:

2017-06-14 20:24:23,402 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 44 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102486.xml
(ChunkerEvaluator) Sentence #596 from 00102486 from sent1

Text  : Początek sezonu to okazja do porządków na letniskach .
Tokens: 1_______ 2_____ 3_ 4_____ 5_ 6________ 7_ 8_________ 9

Chunks:

(ChunkerEvaluator) Sentence #597 from 00102486 from sent2

Text  : Właściciele wielu domków usuwają uszkodzenia , malują ogrodzenia , sadzą drzewka ._
Tokens: 1__________ 2____ 3_____ 4______ 5__________ 6 7_____ 8_________ 9 10___ 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #598 from 00102486 from sent3

Text  : Nad porządkiem w Sokolnikach czuwa kilku urzędników Urzędu Gminy Ozorków ._
Tokens: 1__ 2_________ 3 4__________ 5____ 6____ 7_________ 8_____ 9____ 10_____ 11

Chunks:
  TruePositive nam [4,4] = Sokolnikach (confidence=1.00)
  TruePositive nam [8,10] = Urzędu Gminy Ozorków (confidence=1.00)

(ChunkerEvaluator) Sentence #599 from 00102486 from sent4

Text  : - Oddelegował em do obchodu sześć osób - przyznaje wójt Władysław Sobolewski ._
Tokens: 1 2__________ 3_ 4_ 5______ 6____ 7___ 8 9________ 10__ 11_______ 12________ 13

Chunks:
  TruePositive nam [11,12] = Władysław Sobolewski (confidence=1.00)

(ChunkerEvaluator) Sentence #600 from 00102486 from sent5

Text  : - Zmusiła mnie do tego sytuacja .
Tokens: 1 2______ 3___ 4_ 5___ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #601 from 00102486 from sent6

Text  : Nie przypominam sobie , by w ciągu czterech kadencji mojego urzędowania miejscowość była tak zanieczyszczona jak obecnie ._
Tokens: 1__ 2__________ 3____ 4 5_ 6 7____ 8_______ 9_______ 10____ 11_________ 12_________ 13__ 14_ 15_____________ 16_ 17_____ 18

Chunks:

(ChunkerEvaluator) Sentence #602 from 00102486 from sent7

Text  : Najgorsze jest to , że część działkowiczów stosuje samowolę ._
Tokens: 1________ 2___ 3_ 4 5_ 6____ 7____________ 8______ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #603 from 00102486 from sent8

Text  : Przed ogrodzeniami usypywane są kamienie , by nikt nie podjeżdżał przed ich działki ._
Tokens: 1____ 2___________ 3________ 4_ 5_______ 6 7_ 8___ 9__ 10________ 11___ 12_ 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #604 from 00102486 from sent9

Text  : W efekcie niektóre uliczki zostały zawężone do trzech metrów ._
Tokens: 1 2______ 3_______ 4______ 5______ 6_______ 7_ 8_____ 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #605 from 00102486 from sent10

Text  : Wójt najwięcej zastrzeżeń ma do samowoli na ulicach : 22 Lipca ,_ Kościuszki i_ Konopnickiej ,_ gdzie za ogrodzeniami pojawiły się nie tylko kamienie ,_ ale także drzewa ._
Tokens: 1___ 2________ 3_________ 4_ 5_ 6_______ 7_ 8______ 9 10 11___ 12 13________ 14 15__________ 16 17___ 18 19__________ 20______ 21_ 22_ 23___ 24______ 25 26_ 27___ 28____ 29

Chunks:
  TruePositive nam [13,13] = Kościuszki (confidence=1.00)
  TruePositive nam [15,15] = Konopnickiej (confidence=1.00)
  FalsePositive nam [11,11] = Lipca (confidence=0.71) (incorrect boundry)
  FalseNegative nam [10,11] = 22 Lipca

(ChunkerEvaluator) Sentence #606 from 00102486 from sent11

Text  : - Cieszymy się , gdy mieszkańcy i letnicy sadzą nowe drzewa ,_ ale niektórzy robią to na ulicy ,_ kilka metrów od ogrodzenia -_ mówi wójt Sobolewski ._
Tokens: 1 2_______ 3__ 4 5__ 6_________ 7 8______ 9____ 10__ 11____ 12 13_ 14_______ 15___ 16 17 18___ 19 20___ 21____ 22 23________ 24 25__ 26__ 27________ 28

Chunks:
  TruePositive nam [27,27] = Sobolewski (confidence=1.00)

(ChunkerEvaluator) Sentence #607 from 00102486 from sent12

Text  : - Przymykamy oko tylko wtedy , gdy robi się to tuż przy siatce ._
Tokens: 1 2_________ 3__ 4____ 5____ 6 7__ 8___ 9__ 10 11_ 12__ 13____ 14

Chunks:

2017-06-14 20:24:23,447 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 45 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102489.xml
(ChunkerEvaluator) Sentence #608 from 00102489 from sent1

Text  : Starosta Zgierski Grzegorz R . Leśniewicz podpisał umowę z Państwowym Funduszem Rehabilitacji Osób Niepełnosprawnych ,_ dzięki której do Ozorkowa i_ Aleksandrowa Łódzkiego trafią pieniądze na realizację projektów dla osób niepełnosprawnych ._
Tokens: 1_______ 2_______ 3_______ 4 5 6_________ 7_______ 8____ 9 10________ 11_______ 12___________ 13__ 14_______________ 15 16____ 17____ 18 19______ 20 21__________ 22_______ 23____ 24_______ 25 26________ 27_______ 28_ 29__ 30_______________ 31

Chunks:
  TruePositive nam [10,14] = Państwowym Funduszem Rehabilitacji Osób Niepełnosprawnych (confidence=1.00)
  TruePositive nam [19,19] = Ozorkowa (confidence=1.00)
  TruePositive nam [21,22] = Aleksandrowa Łódzkiego (confidence=1.00)
  FalsePositive nam [2,6] = Zgierski Grzegorz R . Leśniewicz (confidence=0.90) (incorrect boundry)
  FalseNegative nam [1,2] = Starosta Zgierski
  FalseNegative nam [3,6] = Grzegorz R . Leśniewicz

(ChunkerEvaluator) Sentence #609 from 00102489 from sent2

Text  : Region otrzyma fundusze w ramach " Programu wyrównywania różnic między regionami "_ ._
Tokens: 1_____ 2______ 3_______ 4 5_____ 6 7_______ 8___________ 9_____ 10____ 11_______ 12 13

Chunks:
  FalseNegative nam [7,11] = Programu wyrównywania różnic między regionami

(ChunkerEvaluator) Sentence #610 from 00102489 from sent3

Text  : W wyniku podpisanej umowy PFRON przekaże niemal 170 tysięcy złotych na likwidację barier architektonicznych oraz utworzenie nowego miejsca pracy dla osoby niepełnosprawnej ._
Tokens: 1 2_____ 3_________ 4____ 5____ 6_______ 7_____ 8__ 9______ 10_____ 11 12________ 13____ 14________________ 15__ 16________ 17____ 18_____ 19___ 20_ 21___ 22______________ 23

Chunks:
  TruePositive nam [5,5] = PFRON (confidence=1.00)
  TruePositive nam [10,10] = złotych (confidence=0.94)

(ChunkerEvaluator) Sentence #611 from 00102489 from sent4

Text  : Pieniądze trafią do Aleksandrowa Łódzkiego i Ozorkowa .
Tokens: 1________ 2_____ 3_ 4___________ 5________ 6 7_______ 8

Chunks:
  TruePositive nam [4,5] = Aleksandrowa Łódzkiego (confidence=1.00)
  TruePositive nam [7,7] = Ozorkowa (confidence=1.00)

(ChunkerEvaluator) Sentence #612 from 00102489 from sent5

Text  : Za pozyskane pieniądze do 30 marca przyszłego roku w Publicznym Zakładzie Opieki Zdrowotnej w_ Ozorkowie zostaną zlikwidowane bariery architektoniczne ._
Tokens: 1_ 2________ 3________ 4_ 5_ 6____ 7_________ 8___ 9 10________ 11_______ 12____ 13________ 14 15_______ 16_____ 17__________ 18_____ 19______________ 20

Chunks:
  TruePositive nam [10,13] = Publicznym Zakładzie Opieki Zdrowotnej (confidence=1.00)
  TruePositive nam [15,15] = Ozorkowie (confidence=1.00)

(ChunkerEvaluator) Sentence #613 from 00102489 from sent6

Text  : Projekt przewiduje m . in . zakup i montaż windy ._
Tokens: 1______ 2_________ 3 4 5_ 6 7____ 8 9_____ 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #614 from 00102489 from sent7

Text  : Natomiast w Samodzielnym Publicznym Zakładzie Opieki Zdrowotnej w Aleksandrowie Łódzkim ,_ będzie możliwość zatrudnienia osoby niepełnosprawnej na stanowisku sprzątaczki ,_ ponieważ pieniądze z_ PFRON posłużą do wyposażenia nowego stanowiska pracy dla takiej osoby ._ -_ informuje Starosta Zgierski Grzegorz R_ ._ Leśniewicz ._
Tokens: 1________ 2 3___________ 4_________ 5________ 6_____ 7_________ 8 9____________ 10_____ 11 12____ 13_______ 14__________ 15___ 16______________ 17 18________ 19_________ 20 21______ 22_______ 23 24___ 25_____ 26 27_________ 28____ 29________ 30___ 31_ 32____ 33___ 34 35 36_______ 37______ 38______ 39______ 40 41 42________ 43

Chunks:
  TruePositive nam [3,7] = Samodzielnym Publicznym Zakładzie Opieki Zdrowotnej (confidence=1.00)
  TruePositive nam [9,10] = Aleksandrowie Łódzkim (confidence=1.00)
  TruePositive nam [24,24] = PFRON (confidence=1.00)
  FalsePositive nam [37,42] = Starosta Zgierski Grzegorz R . Leśniewicz (confidence=0.94) (incorrect boundry)
  FalseNegative nam [37,38] = Starosta Zgierski
  FalseNegative nam [39,42] = Grzegorz R . Leśniewicz

(ChunkerEvaluator) Sentence #615 from 00102489 from sent8

Text  : W ciągu najbliższych tygodni zostaną podpisane umowy między Powiatem Zgierskim a_ Ozorkowem i_ Aleksandrowem Łódzkim ,_ a_ następnie rozpoczną się prace nad realizacją projektu ._
Tokens: 1 2____ 3___________ 4______ 5______ 6________ 7____ 8_____ 9_______ 10_______ 11 12_______ 13 14___________ 15_____ 16 17 18_______ 19_______ 20_ 21___ 22_ 23________ 24______ 25

Chunks:
  TruePositive nam [14,15] = Aleksandrowem Łódzkim (confidence=1.00)
  FalsePositive nam [9,12] = Powiatem Zgierskim a Ozorkowem (confidence=0.95) (incorrect boundry)
  FalseNegative nam [10,10] = Zgierskim
  FalseNegative nam [12,12] = Ozorkowem

2017-06-14 20:24:23,496 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 46 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102506.xml
(ChunkerEvaluator) Sentence #616 from 00102506 from sent1

Text  : Traxxas Rustler XL - 1 ' 09
Tokens: 1______ 2______ 3_ 4 5 6 7_

Chunks:
  FalsePositive nam [2,5] = Rustler XL - 1 (confidence=0.98) (incorrect boundry)
  FalseNegative nam [1,1] = Traxxas
  FalseNegative nam [2,7] = Rustler XL - 1 ' 09

(ChunkerEvaluator) Sentence #617 from 00102506 from sent2

Text  : Model Huberta rozpoczął życie jako zwyczajny Rustler XL - 1_ ,_ zakupiony w_ 2005 roku jako zestaw gotowy do jazdy ,_ wyposażony w_ elektroniczny regulator XL -_ 1_ i_ napędzany 20 -_ zwojowym silnikiem Stinger ._
Tokens: 1____ 2______ 3________ 4____ 5___ 6________ 7______ 8_ 9 10 11 12_______ 13 14__ 15__ 16__ 17____ 18____ 19 20___ 21 22________ 23 24___________ 25_______ 26 27 28 29 30_______ 31 32 33______ 34_______ 35_____ 36

Chunks:
  TruePositive nam [2,2] = Huberta (confidence=1.00)
  TruePositive nam [7,10] = Rustler XL - 1 (confidence=1.00)
  TruePositive nam [26,28] = XL - 1 (confidence=1.00)
  TruePositive nam [35,35] = Stinger (confidence=0.94)

(ChunkerEvaluator) Sentence #618 from 00102506 from sent3

Text  : Od tamtej pory model przeszedł wiele ciekawych modyfikacji i w_ sezonie 2009 z_ powodzeniem ścigał się na torze Stormdust zarówno z_ najnowszym Rustlerem VXL jak i_ zawodniczymi modelami 2WD ._
Tokens: 1_ 2_____ 3___ 4____ 5________ 6____ 7________ 8__________ 9 10 11_____ 12__ 13 14_________ 15____ 16_ 17 18___ 19_______ 20_____ 21 22________ 23_______ 24_ 25_ 26 27__________ 28______ 29_ 30

Chunks:
  TruePositive nam [19,19] = Stormdust (confidence=0.99)
  TruePositive nam [23,24] = Rustlerem VXL (confidence=1.00)
  FalseNegative nam [29,29] = 2WD

(ChunkerEvaluator) Sentence #619 from 00102506 from sent4

Text  : Co ciekawe , Hubert zdecydował się zachować oryginalną karoserię ,_ dzięki czemu model na pierwszy rzut oka nie różni się od seryjnego Rustlera XL -_ 1_ i_ tym bardziej zaskakuje swoimi osiągami ._
Tokens: 1_ 2______ 3 4_____ 5_________ 6__ 7_______ 8_________ 9________ 10 11____ 12___ 13___ 14 15______ 16__ 17_ 18_ 19___ 20_ 21 22_______ 23______ 24 25 26 27 28_ 29______ 30_______ 31____ 32______ 33

Chunks:
  TruePositive nam [4,4] = Hubert (confidence=1.00)
  TruePositive nam [23,26] = Rustlera XL - 1 (confidence=1.00)

(ChunkerEvaluator) Sentence #620 from 00102506 from sent5

Text  : Model Huberta napędzany jest aktualnie przez bezszczotkowy zestaw firmy Novak ,_ złożony z_ regulatora XBR oraz silnika EX -_ 8_ ._ 5_ ._
Tokens: 1____ 2______ 3________ 4___ 5________ 6____ 7____________ 8_____ 9____ 10___ 11 12_____ 13 14________ 15_ 16__ 17_____ 18 19 20 21 22 23

Chunks:
  TruePositive nam [2,2] = Huberta (confidence=0.99)
  TruePositive nam [10,10] = Novak (confidence=1.00)
  TruePositive nam [15,15] = XBR (confidence=0.99)
  TruePositive nam [18,22] = EX - 8 . 5 (confidence=0.92)

(ChunkerEvaluator) Sentence #621 from 00102506 from sent6

Text  : Zasilanie zapewniają pakiety LiPoly z ogniw Enerland w konfiguracji 2S ._
Tokens: 1________ 2_________ 3______ 4_____ 5 6____ 7_______ 8 9___________ 10 11

Chunks:
  TruePositive nam [4,4] = LiPoly (confidence=0.98)
  TruePositive nam [7,7] = Enerland (confidence=0.78)

(ChunkerEvaluator) Sentence #622 from 00102506 from sent7

Text  : Jako serwo skrętu pracuje Hitec 645MG .
Tokens: 1___ 2____ 3_____ 4______ 5____ 6____ 7

Chunks:
  FalsePositive nam [5,6] = Hitec 645MG (confidence=0.94) (incorrect boundry)
  FalseNegative nam [5,5] = Hitec
  FalseNegative nam [6,6] = 645MG

(ChunkerEvaluator) Sentence #623 from 00102506 from sent8

Text  : Całością steruje aparatura Spektrum DX - 3 . 0 ._
Tokens: 1_______ 2______ 3________ 4_______ 5_ 6 7 8 9 10

Chunks:
  FalsePositive nam [4,9] = Spektrum DX - 3 . 0 (confidence=1.00) (incorrect boundry)
  FalseNegative nam [4,4] = Spektrum
  FalseNegative nam [5,9] = DX - 3 . 0

(ChunkerEvaluator) Sentence #624 from 00102506 from sent9

Text  : Samo podwozie przeszło wiele modyfikacji mechanicznych .
Tokens: 1___ 2_______ 3_______ 4____ 5__________ 6____________ 7

Chunks:

(ChunkerEvaluator) Sentence #625 from 00102506 from sent10

Text  : Przede wszystkim zamontowano łożyska kulkowe w zwrotnicach RPM oraz aluminiowe obejmy zwrotnic ._
Tokens: 1_____ 2________ 3__________ 4______ 5______ 6 7__________ 8__ 9___ 10________ 11____ 12______ 13

Chunks:
  TruePositive nam [8,8] = RPM (confidence=0.98)

(ChunkerEvaluator) Sentence #626 from 00102506 from sent11

Text  : Standardowy , plastikowy układ kierowniczy został wymieniony na zdecydowanie mocniejszy układ aluminiowy firmy Integy ._
Tokens: 1__________ 2 3_________ 4____ 5__________ 6_____ 7_________ 8_ 9___________ 10________ 11___ 12________ 13___ 14____ 15

Chunks:
  TruePositive nam [14,14] = Integy (confidence=1.00)

(ChunkerEvaluator) Sentence #627 from 00102506 from sent12

Text  : Sprężyny przednich amortyzatorów zostały zastąpione twardszymi , pochodzącymi z modelu Losi XXX ._
Tokens: 1_______ 2________ 3____________ 4______ 5_________ 6_________ 7 8___________ 9 10____ 11__ 12_ 13

Chunks:
  FalsePositive nam [11,12] = Losi XXX (confidence=1.00) (incorrect boundry)
  FalseNegative nam [11,11] = Losi
  FalseNegative nam [12,12] = XXX

(ChunkerEvaluator) Sentence #628 from 00102506 from sent13

Text  : Również mocowanie pakietu zostało zaadaptowane z modelu firmy Losi ._
Tokens: 1______ 2________ 3______ 4______ 5___________ 6 7_____ 8____ 9___ 10

Chunks:
  TruePositive nam [9,9] = Losi (confidence=1.00)

(ChunkerEvaluator) Sentence #629 from 00102506 from sent14

Text  : W zakresie przeniesienia napędu jedyną modyfikacja była wymiana plastikowego idler gear na aluminiowy ._
Tokens: 1 2_______ 3____________ 4_____ 5_____ 6__________ 7___ 8______ 9___________ 10___ 11__ 12 13________ 14

Chunks:

(ChunkerEvaluator) Sentence #630 from 00102506 from sent15

Text  : Pozostałe elementy przekładni radzą sobie bez problemu z silnikiem bezszczotkowym ._
Tokens: 1________ 2_______ 3_________ 4____ 5____ 6__ 7_______ 8 9________ 10____________ 11

Chunks:

(ChunkerEvaluator) Sentence #631 from 00102506 from sent16

Text  : Objawy zużycia widać natomiast na jarzmach półosi , dlatego w_ najbliższym czasie planowana jest ich wymiana ._
Tokens: 1_____ 2______ 3____ 4________ 5_ 6_______ 7_____ 8 9______ 10 11_________ 12____ 13_______ 14__ 15_ 16_____ 17

Chunks:

(ChunkerEvaluator) Sentence #632 from 00102506 from sent17

Text  : Samochód Huberta jest kolejnym dowodem na to , że w_ zaprojektowanym w_ 1995 roku podwoziu Rustlera drzemie ogromny potencjał ._
Tokens: 1_______ 2______ 3___ 4_______ 5______ 6_ 7_ 8 9_ 10 11_____________ 12 13__ 14__ 15______ 16______ 17_____ 18_____ 19_______ 20

Chunks:
  TruePositive nam [2,2] = Huberta (confidence=0.99)
  TruePositive nam [16,16] = Rustlera (confidence=1.00)

(ChunkerEvaluator) Sentence #633 from 00102506 from sent18

Text  : Nic dziwnego , że wiele osób wybiera własnie ten model jako punkt wyjściowy dla swoich projektów ._
Tokens: 1__ 2_______ 3 4_ 5____ 6___ 7______ 8______ 9__ 10___ 11__ 12___ 13_______ 14_ 15____ 16_______ 17

Chunks:

2017-06-14 20:24:23,575 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 47 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102507.xml
(ChunkerEvaluator) Sentence #634 from 00102507 from sent1

Text  : Rozegrane 10 lutego 2007 w Katowicach zawody modeli w skali 1_ :_ 18 rozpoczęły cykl imprez o_ nazwie Micromania pod patronatem firmy Proxima ._
Tokens: 1________ 2_ 3_____ 4___ 5 6_________ 7_____ 8_____ 9 10___ 11 12 13 14________ 15__ 16____ 17 18____ 19________ 20_ 21________ 22___ 23_____ 24

Chunks:
  TruePositive nam [6,6] = Katowicach (confidence=1.00)
  TruePositive nam [19,19] = Micromania (confidence=0.93)
  TruePositive nam [23,23] = Proxima (confidence=0.98)

(ChunkerEvaluator) Sentence #635 from 00102507 from sent2

Text  : Na zawodach stawiła się czołówka polskich zawodników E - 18 oraz goście z_ Czech ._
Tokens: 1_ 2_______ 3______ 4__ 5_______ 6_______ 7_________ 8 9 10 11__ 12____ 13 14___ 15

Chunks:
  TruePositive nam [14,14] = Czech (confidence=1.00)
  FalsePositive nam [8,10] = E - 18 (confidence=0.97) (incorrect boundry)

(ChunkerEvaluator) Sentence #636 from 00102507 from sent3

Text  : Najliczniej obsadzoną klasę E - 18 Standard zdominował Grzegorz Nóżka ,_ który jako jedyny w_ tej klasie regularnie wykręcał 29 okrążeń ._
Tokens: 1__________ 2________ 3____ 4 5 6_ 7_______ 8_________ 9_______ 10___ 11 12___ 13__ 14____ 15 16_ 17____ 18________ 19______ 20 21_____ 22

Chunks:
  TruePositive nam [9,10] = Grzegorz Nóżka (confidence=1.00)
  FalsePositive nam [7,7] = Standard (confidence=0.57) (incorrect boundry)

(ChunkerEvaluator) Sentence #637 from 00102507 from sent4

Text  : W Standardzie udanie zadebiutował Piotrek Chmielowski , reprezentujący RC Smoki ,_ który jadąc modelem Xray M18 zakwalifikował sie do finału B_ i_ ostatecznie uplasował się na 16 miejscu ,_ czyli w_ połowie stawki ._
Tokens: 1 2__________ 3_____ 4___________ 5______ 6__________ 7 8_____________ 9_ 10___ 11 12___ 13___ 14_____ 15__ 16_ 17____________ 18_ 19 20____ 21 22 23_________ 24_______ 25_ 26 27 28_____ 29 30___ 31 32_____ 33____ 34

Chunks:
  TruePositive nam [5,6] = Piotrek Chmielowski (confidence=1.00)
  TruePositive nam [9,10] = RC Smoki (confidence=0.99)
  TruePositive nam [15,16] = Xray M18 (confidence=1.00)
  FalsePositive nam [2,2] = Standardzie (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #638 from 00102507 from sent5

Text  : Drugi z debiutujących RC Smoków , Bartek Kowalczyk , zajął 25 miejsce modelem HPI Micro RS4 ._
Tokens: 1____ 2 3____________ 4_ 5_____ 6 7_____ 8________ 9 10___ 11 12_____ 13_____ 14_ 15___ 16_ 17

Chunks:
  TruePositive nam [4,5] = RC Smoków (confidence=0.95)
  TruePositive nam [7,8] = Bartek Kowalczyk (confidence=1.00)
  FalsePositive nam [14,14] = HPI (confidence=1.00) (incorrect boundry)
  FalsePositive nam [15,16] = Micro RS4 (confidence=0.73) (incorrect boundry)
  FalseNegative nam [14,16] = HPI Micro RS4

(ChunkerEvaluator) Sentence #639 from 00102507 from sent6

Text  : Klasa E - 18 Open w tym sezonie różni sie od Standard jedynie dopuszczeniem mocniejszych silników i_ opon piankowych ._
Tokens: 1____ 2 3 4_ 5___ 6 7__ 8______ 9____ 10_ 11 12______ 13_____ 14___________ 15__________ 16______ 17 18__ 19________ 20

Chunks:
  FalsePositive nam [1,5] = Klasa E - 18 Open (confidence=0.65) (incorrect boundry)
  FalsePositive nam [12,12] = Standard (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #640 from 00102507 from sent7

Text  : Na katowickich zawodach poziom w czołówce tej klasy był bardzo wyrównany ._
Tokens: 1_ 2__________ 3_______ 4_____ 5 6_______ 7__ 8____ 9__ 10____ 11_______ 12

Chunks:

(ChunkerEvaluator) Sentence #641 from 00102507 from sent8

Text  : Ostatecznie zwyciężył Martin Pater z Czech , przed Filipem Zarembą i_ Rafałem Piesio ._
Tokens: 1__________ 2________ 3_____ 4____ 5 6____ 7 8____ 9______ 10_____ 11 12_____ 13____ 14

Chunks:
  TruePositive nam [3,4] = Martin Pater (confidence=1.00)
  TruePositive nam [6,6] = Czech (confidence=0.98)
  TruePositive nam [9,10] = Filipem Zarembą (confidence=1.00)
  TruePositive nam [12,13] = Rafałem Piesio (confidence=1.00)

(ChunkerEvaluator) Sentence #642 from 00102507 from sent9

Text  : Najmniej liczną klasą była E - 18 T / MT /_ B_ ,_ czyli klasa mikrusów terenowych ,_ w_ której startuja modele typu truck ,_ monster truck i_ buggy ._
Tokens: 1_______ 2_____ 3____ 4___ 5 6 7_ 8 9 10 11 12 13 14___ 15___ 16______ 17________ 18 19 20____ 21______ 22____ 23__ 24___ 25 26_____ 27___ 28 29___ 30

Chunks:

(ChunkerEvaluator) Sentence #643 from 00102507 from sent10

Text  : Klasa ta zdecydowanie wyróżniała się różnorodnością modeli .
Tokens: 1____ 2_ 3___________ 4_________ 5__ 6_____________ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #644 from 00102507 from sent11

Text  : Oprócz modeli Xray M18T pojawiły się między innymi buggy Associated RC18B ,_ Kyosho Mini Inferno oraz LRP Shark 18 ._
Tokens: 1_____ 2_____ 3___ 4___ 5_______ 6__ 7_____ 8_____ 9____ 10________ 11___ 12 13____ 14__ 15_____ 16__ 17_ 18___ 19 20

Chunks:
  TruePositive nam [3,4] = Xray M18T (confidence=0.94)
  FalsePositive nam [10,11] = Associated RC18B (confidence=0.99) (incorrect boundry)
  FalsePositive nam [13,15] = Kyosho Mini Inferno (confidence=1.00) (incorrect boundry)
  FalsePositive nam [17,18] = LRP Shark (confidence=1.00) (incorrect boundry)
  FalseNegative nam [10,10] = Associated
  FalseNegative nam [11,11] = RC18B
  FalseNegative nam [13,13] = Kyosho
  FalseNegative nam [14,15] = Mini Inferno
  FalseNegative nam [17,17] = LRP
  FalseNegative nam [18,19] = Shark 18

(ChunkerEvaluator) Sentence #645 from 00102507 from sent12

Text  : W terenówkach pierwsze trzy miejsca zajęli goście z Czech :_ Martin Pater ,_ Drahomir Cevela i_ Tomas Rajdus ._
Tokens: 1 2__________ 3_______ 4___ 5______ 6_____ 7_____ 8 9____ 10 11____ 12___ 13 14______ 15____ 16 17___ 18____ 19

Chunks:
  TruePositive nam [9,9] = Czech (confidence=1.00)
  TruePositive nam [11,12] = Martin Pater (confidence=1.00)
  TruePositive nam [14,15] = Drahomir Cevela (confidence=1.00)
  TruePositive nam [17,18] = Tomas Rajdus (confidence=1.00)

2017-06-14 20:24:23,636 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 48 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102681.xml
(ChunkerEvaluator) Sentence #646 from 00102681 from sent1

Text  : dobry wieczór , xxx , słucham
Tokens: 1____ 2______ 3 4__ 5 6______

Chunks:

(ChunkerEvaluator) Sentence #647 from 00102681 from sent2

Text  : FILLER dobry wieczór FILLER ja się chciała m zapytać o_ ostatnie autobusy ,_ jakie jadą z_ Torwaru do Centrum ,_ czy jest taka możliwość dostania informacji ?_ ._ ._ ._
Tokens: 1_____ 2____ 3______ 4_____ 5_ 6__ 7______ 8 9______ 10 11______ 12______ 13 14___ 15__ 16 17_____ 18 19_____ 20 21_ 22__ 23__ 24_______ 25______ 26________ 27 28 29 30

Chunks:
  TruePositive nam [17,17] = Torwaru (confidence=0.99)
  FalsePositive nam [19,19] = Centrum (confidence=0.61) (incorrect boundry)

(ChunkerEvaluator) Sentence #648 from 00102681 from sent3

Text  : jest , o jakąś konkretnie linię pani chodzi ?
Tokens: 1___ 2 3 4____ 5_________ 6____ 7___ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #649 from 00102681 from sent4

Text  : FILLER sto pięćdziesiąt jeden i sto siedemdziesiąt jeden . ._ ._
Tokens: 1_____ 2__ 3___________ 4____ 5 6__ 7_____________ 8____ 9 10 11

Chunks:

(ChunkerEvaluator) Sentence #650 from 00102681 from sent5

Text  : FILLER sto siedemdziesiąt jeden z samej pętli Torwar , tak ?_
Tokens: 1_____ 2__ 3_____________ 4____ 5 6____ 7____ 8_____ 9 10_ 11

Chunks:
  TruePositive nam [8,8] = Torwar (confidence=0.99)

(ChunkerEvaluator) Sentence #651 from 00102681 from sent6

Text  : FILLER tak FILLER tak że _ _ _ bliżej Łazienkowskiej było ._ ._ ._
Tokens: 1_____ 2__ 3_____ 4__ 5_ 6 7 8 9_____ 10____________ 11__ 12 13 14

Chunks:
  TruePositive nam [10,10] = Łazienkowskiej (confidence=0.83)

(ChunkerEvaluator) Sentence #652 from 00102681 from sent7

Text  : tam nie wiem , jak on jeździ
Tokens: 1__ 2__ 3___ 4 5__ 6_ 7_____

Chunks:

(ChunkerEvaluator) Sentence #653 from 00102681 from sent8

Text  : to ta FILLER z tej sto siedemdziesiąt jeden , z_ pętli Torwar ostatni odjazd dwudziesta trzecia trzydzieści
Tokens: 1_ 2_ 3_____ 4 5__ 6__ 7_____________ 8____ 9 10 11___ 12____ 13_____ 14____ 15________ 16_____ 17_________

Chunks:
  TruePositive nam [12,12] = Torwar (confidence=0.95)

(ChunkerEvaluator) Sentence #654 from 00102681 from sent9

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #655 from 00102681 from sent10

Text  : a drugi sto pięćdziesiąt jeden tak ?
Tokens: 1 2____ 3__ 4___________ 5____ 6__ 7

Chunks:

(ChunkerEvaluator) Sentence #656 from 00102681 from sent11

Text  : tak . . .
Tokens: 1__ 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #657 from 00102681 from sent12

Text  : FILLER dwudziesta trzecia cztery
Tokens: 1_____ 2_________ 3______ 4_____

Chunks:

(ChunkerEvaluator) Sentence #658 from 00102681 from sent13

Text  : FILLER dobrze , a mam takie jeszcze jedno pytanie ,_ bo FILLER z_ Dworca Centralnego nie ma bezpośredniego autobusu do Torwaru ?_
Tokens: 1_____ 2_____ 3 4 5__ 6____ 7______ 8____ 9______ 10 11 12____ 13 14____ 15_________ 16_ 17 18____________ 19______ 20 21_____ 22

Chunks:
  TruePositive nam [14,15] = Dworca Centralnego (confidence=0.99)
  TruePositive nam [21,21] = Torwaru (confidence=0.98)

(ChunkerEvaluator) Sentence #659 from 00102681 from sent14

Text  : . . .
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #660 from 00102681 from sent15

Text  : nie
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #661 from 00102681 from sent16

Text  : FILLER a jak można dostać się do Centrum z Torwaru FILLER z_ dworca ?_
Tokens: 1_____ 2 3__ 4____ 5_____ 6__ 7_ 8______ 9 10_____ 11____ 12 13____ 14

Chunks:
  TruePositive nam [10,10] = Torwaru (confidence=0.99)
  FalsePositive nam [8,8] = Centrum (confidence=0.72) (incorrect boundry)

(ChunkerEvaluator) Sentence #662 from 00102681 from sent17

Text  : z Dworca Centralnego ?
Tokens: 1 2_____ 3__________ 4

Chunks:
  TruePositive nam [2,3] = Dworca Centralnego (confidence=1.00)

(ChunkerEvaluator) Sentence #663 from 00102681 from sent18

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #664 from 00102681 from sent19

Text  : do Centrum ?
Tokens: 1_ 2______ 3

Chunks:
  FalsePositive nam [2,2] = Centrum (confidence=0.88) (incorrect boundry)

(ChunkerEvaluator) Sentence #665 from 00102681 from sent20

Text  : FILLER żeby to tu FILLER
Tokens: 1_____ 2___ 3_ 4_ 5_____

Chunks:

(ChunkerEvaluator) Sentence #666 from 00102681 from sent21

Text  : no jeden przystanek , jeden przystanek jakimkolwiek tramwajem tutaj jadącym po Alejach Jerozolimskich od Centralnego do Rotundy podjechać
Tokens: 1_ 2____ 3_________ 4 5____ 6_________ 7___________ 8________ 9____ 10_____ 11 12_____ 13____________ 14 15_________ 16 17_____ 18_______

Chunks:
  TruePositive nam [12,13] = Alejach Jerozolimskich (confidence=1.00)
  TruePositive nam [17,17] = Rotundy (confidence=0.85)
  FalseNegative nam [15,15] = Centralnego

(ChunkerEvaluator) Sentence #667 from 00102681 from sent22

Text  : aha , aha , czyli to obojętnie którym , tak ?_
Tokens: 1__ 2 3__ 4 5____ 6_ 7________ 8_____ 9 10_ 11

Chunks:

(ChunkerEvaluator) Sentence #668 from 00102681 from sent23

Text  : obojętnie , bo to wszystkie jadą prosto , to jest tylko jeden przystanek tramwajowy FILLER ewentualnie przy ładnej pogodzie można się przejść ,_ bo to tylko by było z_ pięć siedem minut spacerkiem FILLER
Tokens: 1________ 2 3_ 4_ 5________ 6___ 7_____ 8 9_ 10__ 11___ 12___ 13________ 14________ 15____ 16_________ 17__ 18____ 19______ 20___ 21_ 22_____ 23 24 25 26___ 27 28__ 29 30__ 31____ 32___ 33________ 34____

Chunks:

(ChunkerEvaluator) Sentence #669 from 00102681 from sent24

Text  : aha , aha , no nic , dobra , dziękuję
Tokens: 1__ 2 3__ 4 5_ 6__ 7 8____ 9 10______

Chunks:

(ChunkerEvaluator) Sentence #670 from 00102681 from sent25

Text  : w takim razie dobranoc
Tokens: 1 2____ 3____ 4_______

Chunks:

(ChunkerEvaluator) Sentence #671 from 00102681 from sent26

Text  : proszę bardzo
Tokens: 1_____ 2_____

Chunks:

(ChunkerEvaluator) Sentence #672 from 00102681 from sent27

Text  : dobranoc
Tokens: 1_______

Chunks:

2017-06-14 20:24:23,702 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 49 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102697.xml
(ChunkerEvaluator) Sentence #673 from 00102697 from sent1

Text  : xxx , w czym mogę pomóc ?
Tokens: 1__ 2 3 4___ 5___ 6____ 7

Chunks:

(ChunkerEvaluator) Sentence #674 from 00102697 from sent2

Text  : dzień dobry , proszę pana , interesuje mnie FILLER taka informacja czym mógł by m_ się dostać FILLER państwa środkami do Piastowa do miejscowości Piastów tu w_ Warszawie
Tokens: 1____ 2____ 3 4_____ 5___ 6 7_________ 8___ 9_____ 10__ 11________ 12__ 13__ 14 15 16_ 17____ 18____ 19_____ 20______ 21 22______ 23 24__________ 25_____ 26 27 28_______

Chunks:
  TruePositive nam [22,22] = Piastowa (confidence=0.99)
  TruePositive nam [25,25] = Piastów (confidence=1.00)
  TruePositive nam [28,28] = Warszawie (confidence=1.00)

(ChunkerEvaluator) Sentence #675 from 00102697 from sent3

Text  : a skąd będzie pan jechał ?
Tokens: 1 2___ 3_____ 4__ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #676 from 00102697 from sent4

Text  : ano to właśnie o to mi chodzi że z skąd autobusy odjeżdżają do Piastowa
Tokens: 1__ 2_ 3______ 4 5_ 6_ 7_____ 8_ 9 10__ 11______ 12________ 13 14______

Chunks:
  TruePositive nam [14,14] = Piastowa (confidence=0.99)

(ChunkerEvaluator) Sentence #677 from 00102697 from sent5

Text  : FILLER proszę pana siedemset szesnaście z FILLER Cmentarza Wolskiego ._ ._ ._
Tokens: 1_____ 2_____ 3___ 4________ 5_________ 6 7_____ 8________ 9________ 10 11 12

Chunks:
  TruePositive nam [8,9] = Cmentarza Wolskiego (confidence=0.65)

(ChunkerEvaluator) Sentence #678 from 00102697 from sent6

Text  : FILLER siedemset siedemnaście z Dworca Zachodniego oraz Szybka Kolej Miejska z_ Dworca Śródmieście bądź Dworca Zachodniego ._ ._ ._
Tokens: 1_____ 2________ 3___________ 4 5_____ 6__________ 7___ 8_____ 9____ 10_____ 11 12____ 13_________ 14__ 15____ 16_________ 17 18 19

Chunks:
  TruePositive nam [5,6] = Dworca Zachodniego (confidence=1.00)
  TruePositive nam [8,10] = Szybka Kolej Miejska (confidence=1.00)
  TruePositive nam [12,13] = Dworca Śródmieście (confidence=0.86)
  TruePositive nam [15,16] = Dworca Zachodniego (confidence=1.00)

(ChunkerEvaluator) Sentence #679 from 00102697 from sent7

Text  : bądź Dworca Wschodniego
Tokens: 1___ 2_____ 3__________

Chunks:
  TruePositive nam [2,3] = Dworca Wschodniego (confidence=1.00)

(ChunkerEvaluator) Sentence #680 from 00102697 from sent8

Text  : ale to Szybka Kolej Miejska w Piastowie się zatrzymuje ?_
Tokens: 1__ 2_ 3_____ 4____ 5______ 6 7________ 8__ 9_________ 10

Chunks:
  TruePositive nam [3,5] = Szybka Kolej Miejska (confidence=1.00)
  TruePositive nam [7,7] = Piastowie (confidence=1.00)

(ChunkerEvaluator) Sentence #681 from 00102697 from sent9

Text  : tak jak najbardziej . . .
Tokens: 1__ 2__ 3__________ 4 5 6

Chunks:

(ChunkerEvaluator) Sentence #682 from 00102697 from sent10

Text  : S K M FILLER tam w kierunku Pruszkowa jak najbardziej
Tokens: 1 2 3 4_____ 5__ 6 7_______ 8________ 9__ 10_________

Chunks:
  TruePositive nam [1,3] = S K M (confidence=0.83)
  TruePositive nam [8,8] = Pruszkowa (confidence=1.00)

(ChunkerEvaluator) Sentence #683 from 00102697 from sent11

Text  : bo ja to myślał em , że to jest W_ K_ W_ K_ D_ FILLER biegnie przez FILLER Michałowic tamtędy ,_ ale do Piastowa nie wiedział em ,_ że jest tam jakiś
Tokens: 1_ 2_ 3_ 4_____ 5_ 6 7_ 8_ 9___ 10 11 12 13 14 15____ 16_____ 17___ 18____ 19________ 20_____ 21 22_ 23 24______ 25_ 26______ 27 28 29 30__ 31_ 32___

Chunks:
  TruePositive nam [19,19] = Michałowic (confidence=0.91)
  TruePositive nam [24,24] = Piastowa (confidence=1.00)
  FalsePositive nam [10,15] = W K W K D FILLER (confidence=0.67) (incorrect boundry)
  FalseNegative nam [12,14] = W K D

(ChunkerEvaluator) Sentence #684 from 00102697 from sent12

Text  : połączenie
Tokens: 1_________

Chunks:

(ChunkerEvaluator) Sentence #685 from 00102697 from sent13

Text  : proszę pana W K D to jedzie do do FILLER do Michałowic i_ ,_ i_ ,_ i_ dalej do Grodziska FILLER a_ Szybka Kolej Miejska jedzie z_ FILLER z_ Sulejówka do Pruszkowa i_ ma __ __ __ pośrednią stację FILLER przedostatnią w_ kierunku Pruszkowa Piastów ._ ._ ._
Tokens: 1_____ 2___ 3 4 5 6_ 7_____ 8_ 9_ 10____ 11 12________ 13 14 15 16 17 18___ 19 20_______ 21____ 22 23____ 24___ 25_____ 26____ 27 28____ 29 30_______ 31 32_______ 33 34 35 36 37 38_______ 39____ 40____ 41___________ 42 43______ 44_______ 45_____ 46 47 48

Chunks:
  TruePositive nam [12,12] = Michałowic (confidence=0.97)
  TruePositive nam [20,20] = Grodziska (confidence=0.99)
  TruePositive nam [23,25] = Szybka Kolej Miejska (confidence=1.00)
  TruePositive nam [30,30] = Sulejówka (confidence=1.00)
  TruePositive nam [32,32] = Pruszkowa (confidence=0.98)
  FalsePositive nam [4,5] = K D (confidence=0.72) (incorrect boundry)
  FalsePositive nam [44,45] = Pruszkowa Piastów (confidence=0.99) (incorrect boundry)
  FalseNegative nam [3,5] = W K D
  FalseNegative nam [44,44] = Pruszkowa
  FalseNegative nam [45,45] = Piastów

(ChunkerEvaluator) Sentence #686 from 00102697 from sent14

Text  : aha , aha
Tokens: 1__ 2 3__

Chunks:

(ChunkerEvaluator) Sentence #687 from 00102697 from sent15

Text  : i z Warszawy Śródmieście można dojechać
Tokens: 1 2 3_______ 4__________ 5____ 6_______

Chunks:
  TruePositive nam [3,4] = Warszawy Śródmieście (confidence=1.00)

(ChunkerEvaluator) Sentence #688 from 00102697 from sent16

Text  : a i z Dworca Zachodniego mówi pan jaki _ __ __ jaki ten autobus ?_
Tokens: 1 2 3 4_____ 5__________ 6___ 7__ 8___ 9 10 11 12__ 13_ 14_____ 15

Chunks:
  TruePositive nam [4,5] = Dworca Zachodniego (confidence=0.99)

(ChunkerEvaluator) Sentence #689 from 00102697 from sent17

Text  : siedemset siedemnaście
Tokens: 1________ 2___________

Chunks:

(ChunkerEvaluator) Sentence #690 from 00102697 from sent18

Text  : aha siedemset siedemnaście , dobrze , a to FILLER z_ Dworca Śródmieście odjeżdża tam FILLER ta Szybka Kolej Miejska ,_ tak ?_
Tokens: 1__ 2________ 3___________ 4 5_____ 6 7 8_ 9_____ 10 11____ 12_________ 13______ 14_ 15____ 16 17____ 18___ 19_____ 20 21_ 22

Chunks:
  TruePositive nam [11,12] = Dworca Śródmieście (confidence=0.98)
  TruePositive nam [17,19] = Szybka Kolej Miejska (confidence=1.00)

(ChunkerEvaluator) Sentence #691 from 00102697 from sent19

Text  : tak oczywiście
Tokens: 1__ 2_________

Chunks:

(ChunkerEvaluator) Sentence #692 from 00102697 from sent20

Text  : a to dziękuję bardzo
Tokens: 1 2_ 3_______ 4_____

Chunks:

(ChunkerEvaluator) Sentence #693 from 00102697 from sent21

Text  : proszę bardzo
Tokens: 1_____ 2_____

Chunks:

(ChunkerEvaluator) Sentence #694 from 00102697 from sent22

Text  : do usłyszenia
Tokens: 1_ 2_________

Chunks:

2017-06-14 20:24:23,770 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 50 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102700.xml
(ChunkerEvaluator) Sentence #695 from 00102700 from sent1

Text  : dobry wieczór , xxx , słucham
Tokens: 1____ 2______ 3 4__ 5 6______

Chunks:

(ChunkerEvaluator) Sentence #696 from 00102700 from sent2

Text  : FILLER dobry wieczór , proszę pana , chciał by m_ zapytać się na przystanku Gocławek zero dwa FILLER sto czterdzieści pięć ,_ to o_ której teraz będzie ._ ._ ._
Tokens: 1_____ 2____ 3______ 4 5_____ 6___ 7 8_____ 9_ 10 11_____ 12_ 13 14________ 15______ 16__ 17_ 18____ 19_ 20__________ 21__ 22 23 24 25____ 26___ 27____ 28 29 30

Chunks:
  TruePositive nam [15,15] = Gocławek (confidence=1.00)

(ChunkerEvaluator) Sentence #697 from 00102700 from sent3

Text  : _ _ _ sprawdzam FILLER powinien być dwudziesta druga siedemnaście a_ następny czterdzieści siedem
Tokens: 1 2 3 4________ 5_____ 6_______ 7__ 8_________ 9____ 10__________ 11 12______ 13__________ 14____

Chunks:

(ChunkerEvaluator) Sentence #698 from 00102700 from sent4

Text  : a wcześniej , o której powinien być
Tokens: 1 2________ 3 4 5_____ 6_______ 7__

Chunks:

(ChunkerEvaluator) Sentence #699 from 00102700 from sent5

Text  : przed dwudziestą drugą siedemnaście ?
Tokens: 1____ 2_________ 3____ 4___________ 5

Chunks:

(ChunkerEvaluator) Sentence #700 from 00102700 from sent6

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #701 from 00102700 from sent7

Text  : dwudziesta pierwsza czterdzieści siedem
Tokens: 1_________ 2_______ 3___________ 4_____

Chunks:

(ChunkerEvaluator) Sentence #702 from 00102700 from sent8

Text  : aha rozumiem
Tokens: 1__ 2_______

Chunks:

(ChunkerEvaluator) Sentence #703 from 00102700 from sent9

Text  : co trzydzieści minut w tej chwili jeździ
Tokens: 1_ 2__________ 3____ 4 5__ 6_____ 7_____

Chunks:

(ChunkerEvaluator) Sentence #704 from 00102700 from sent10

Text  : rozumiem , dobrze , dziękuję
Tokens: 1_______ 2 3_____ 4 5_______

Chunks:

(ChunkerEvaluator) Sentence #705 from 00102700 from sent11

Text  : proszę bardzo
Tokens: 1_____ 2_____

Chunks:

(ChunkerEvaluator) Sentence #706 from 00102700 from sent12

Text  : do widzenia
Tokens: 1_ 2_______

Chunks:

(ChunkerEvaluator) Sentence #707 from 00102700 from sent13

Text  : do usłyszenia
Tokens: 1_ 2_________

Chunks:

2017-06-14 20:24:23,793 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 51 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103641.xml
(ChunkerEvaluator) Sentence #708 from 00103641 from sent1

Text  : Publiczne przyznanie się do dziewictwa brzmi w rozerotyzowanym świecie jak sensacja ._
Tokens: 1________ 2_________ 3__ 4_ 5_________ 6____ 7 8______________ 9______ 10_ 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #709 from 00103641 from sent2

Text  : Tymczasem dziewictwo nie jest reliktem przeszłości .
Tokens: 1________ 2_________ 3__ 4___ 5_______ 6__________ 7

Chunks:

(ChunkerEvaluator) Sentence #710 from 00103641 from sent3

Text  : Współczesny świat na pewno nie sprzyja zachowaniu dziewictwa .
Tokens: 1__________ 2____ 3_ 4____ 5__ 6______ 7_________ 8_________ 9

Chunks:

(ChunkerEvaluator) Sentence #711 from 00103641 from sent4

Text  : System wartości próbuje się w różny sposób odwracać .
Tokens: 1_____ 2_______ 3______ 4__ 5 6____ 7_____ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #712 from 00103641 from sent5

Text  : - Dzisiaj deprecjonowana jest wartość dziewictwa .
Tokens: 1 2______ 3_____________ 4___ 5______ 6_________ 7

Chunks:

(ChunkerEvaluator) Sentence #713 from 00103641 from sent6

Text  : Promuje się styl życia , w którym " uprawianie seksu "_ staje się pełnią życia -_ mówi o_ ._ Mirosław Pilśniak ,_ dominikanin ._
Tokens: 1______ 2__ 3___ 4____ 5 6 7_____ 8 9_________ 10___ 11 12___ 13_ 14____ 15___ 16 17__ 18 19 20______ 21______ 22 23_________ 24

Chunks:
  TruePositive nam [20,21] = Mirosław Pilśniak (confidence=1.00)

(ChunkerEvaluator) Sentence #714 from 00103641 from sent7

Text  : - Przekroczone zostało pewne tabu .
Tokens: 1 2___________ 3______ 4____ 5___ 6

Chunks:

(ChunkerEvaluator) Sentence #715 from 00103641 from sent8

Text  : Erotyka obecna jest już na poziomie reklamy .
Tokens: 1______ 2_____ 3___ 4__ 5_ 6_______ 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #716 from 00103641 from sent9

Text  : " Sprzedawanie się " nie jest traktowane jako coś nietaktownego i_ niemoralnego ._
Tokens: 1 2___________ 3__ 4 5__ 6___ 7_________ 8___ 9__ 10___________ 11 12__________ 13

Chunks:

(ChunkerEvaluator) Sentence #717 from 00103641 from sent10

Text  : Wanda Półtawska od lat wykłada młodym antropolgię Karola Wojtyły ._
Tokens: 1____ 2________ 3_ 4__ 5______ 6_____ 7__________ 8_____ 9______ 10

Chunks:
  TruePositive nam [1,2] = Wanda Półtawska (confidence=1.00)
  TruePositive nam [8,9] = Karola Wojtyły (confidence=1.00)

(ChunkerEvaluator) Sentence #718 from 00103641 from sent11

Text  : Tu podsumowuje : - Najtrudniejsze zadanie to doprowadzić młodzież do świadomej refleksji :_ "_ Kim jestem "_ ._
Tokens: 1_ 2__________ 3 4 5_____________ 6______ 7_ 8__________ 9_______ 10 11_______ 12_______ 13 14 15_ 16____ 17 18

Chunks:
  FalsePositive nam [15,16] = Kim jestem (confidence=0.66) (incorrect boundry)

(ChunkerEvaluator) Sentence #719 from 00103641 from sent12

Text  : Nie mówię młodym ludziom o dziewictwie zanim nie powiem o_ koncepcji człowieka -_ kim jest ,_ o_ koncepcji kobiecości i_ męskości ._
Tokens: 1__ 2____ 3_____ 4______ 5 6__________ 7____ 8__ 9_____ 10 11_______ 12_______ 13 14_ 15__ 16 17 18_______ 19________ 20 21______ 22

Chunks:

(ChunkerEvaluator) Sentence #720 from 00103641 from sent13

Text  : Jan Paweł II mówił , że wszystkie problemy świata rozwiązuje genealogia divina ,_ odnalezienie odpowiedzi :_ kim ty jesteś ,_ zrozumienie ,_ że jesteś dziełem Stwórcy ,_ Dzieckiem Boga ._
Tokens: 1__ 2____ 3_ 4____ 5 6_ 7________ 8_______ 9_____ 10________ 11________ 12____ 13 14__________ 15________ 16 17_ 18 19____ 20 21_________ 22 23 24____ 25_____ 26_____ 27 28_______ 29__ 30

Chunks:
  TruePositive nam [1,3] = Jan Paweł II (confidence=1.00)
  TruePositive nam [26,26] = Stwórcy (confidence=1.00)
  TruePositive nam [29,29] = Boga (confidence=0.88)

(ChunkerEvaluator) Sentence #721 from 00103641 from sent14

Text  : Kolejną lekcją , której uczy nas św . Katarzyna aleksandryjska jest lekcja o_ męczeństwie ,_ które jest najwyższą próbą człowieczeństwa w_ obliczu Boga ._
Tokens: 1______ 2_____ 3 4_____ 5___ 6__ 7_ 8 9________ 10____________ 11__ 12____ 13 14_________ 15 16___ 17__ 18_______ 19___ 20_____________ 21 22_____ 23__ 24

Chunks:
  TruePositive nam [9,9] = Katarzyna (confidence=0.87)
  TruePositive nam [23,23] = Boga (confidence=1.00)

(ChunkerEvaluator) Sentence #722 from 00103641 from sent15

Text  : Od początku historii Kościoła to właśnie męczeństwo pozostaje wzorem męstwa i_ świętości ,_ ponieważ naśladowanie Chrystusa osiąga swój najdoskonalszy wyraz właśnie w_ męczeństwie ._
Tokens: 1_ 2_______ 3_______ 4_______ 5_ 6______ 7_________ 8________ 9_____ 10____ 11 12_______ 13 14______ 15__________ 16_______ 17____ 18__ 19____________ 20___ 21_____ 22 23_________ 24

Chunks:
  TruePositive nam [4,4] = Kościoła (confidence=0.98)
  TruePositive nam [16,16] = Chrystusa (confidence=0.99)

(ChunkerEvaluator) Sentence #723 from 00103641 from sent16

Text  : Według ojca Rafała Skibińskiego , konformista to człowiek stopiony z_ otoczeniem ,_ dryfujący tam ,_ gdzie cała grupa :_ „_ Jest martwym ,_ kruchym elementem ,_ na którym ,_ w_ razie czego ,_ nie można się oprzeć ”_ ._
Tokens: 1_____ 2___ 3_____ 4___________ 5 6__________ 7_ 8_______ 9_______ 10 11________ 12 13_______ 14_ 15 16___ 17__ 18___ 19 20 21__ 22_____ 23 24_____ 25_______ 26 27 28____ 29 30 31___ 32___ 33 34_ 35___ 36_ 37____ 38 39

Chunks:
  TruePositive nam [3,4] = Rafała Skibińskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #724 from 00103641 from sent17

Text  : Nie ma zamiaru ponosić jakiejkolwiek ofiary : „ To człowiek kapitulacji ,_ rezygnacji ”_ ._
Tokens: 1__ 2_ 3______ 4______ 5____________ 6_____ 7 8 9_ 10______ 11_________ 12 13________ 14 15

Chunks:

(ChunkerEvaluator) Sentence #725 from 00103641 from sent18

Text  : Św . Katarzyna uczy nas gotowości do tego , aby w_ każdej sytuacji ,_ nie bacząc na konsekwencje stanąć w_ obronie prawdy i_ bliźniego ._
Tokens: 1_ 2 3________ 4___ 5__ 6________ 7_ 8___ 9 10_ 11 12____ 13______ 14 15_ 16____ 17 18__________ 19____ 20 21_____ 22____ 23 24_______ 25

Chunks:
  TruePositive nam [3,3] = Katarzyna (confidence=0.89)

(ChunkerEvaluator) Sentence #726 from 00103641 from sent19

Text  : Świętość to nic innego , jak spełnianie woli Bożej tu i_ teraz ,_ w_ takich okolicznościach życia ,_ jakie uznał Pan Bóg dla nas za najlepsze ,_ jakie postawił nam jako zadanie na tym świecie ._
Tokens: 1_______ 2_ 3__ 4_____ 5 6__ 7_________ 8___ 9____ 10 11 12___ 13 14 15____ 16_____________ 17___ 18 19___ 20___ 21_ 22_ 23_ 24_ 25 26_______ 27 28___ 29______ 30_ 31__ 32_____ 33 34_ 35_____ 36

Chunks:
  TruePositive nam [22,22] = Bóg (confidence=0.82)
  FalsePositive nam [9,9] = Bożej (confidence=0.71) (incorrect boundry)

(ChunkerEvaluator) Sentence #727 from 00103641 from sent20

Text  : Świętość zatem to jak najlepsze wypełnianie obowiązków z miłości do Stwórcy ,_ to gotowe na ofiarę z_ własnego ja życie dla innych ._
Tokens: 1_______ 2____ 3_ 4__ 5________ 6__________ 7_________ 8 9______ 10 11_____ 12 13 14____ 15 16____ 17 18______ 19 20___ 21_ 22____ 23

Chunks:
  TruePositive nam [11,11] = Stwórcy (confidence=1.00)

(ChunkerEvaluator) Sentence #728 from 00103641 from sent21

Text  : Przykładem takiej świętości była dla nas św . Katarzyna aleksandryjska ._
Tokens: 1_________ 2_____ 3________ 4___ 5__ 6__ 7_ 8 9________ 10____________ 11

Chunks:
  FalsePositive nam [9,10] = Katarzyna aleksandryjska (confidence=0.87) (incorrect boundry)
  FalseNegative nam [9,9] = Katarzyna

2017-06-14 20:24:23,894 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 52 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103707.xml
(ChunkerEvaluator) Sentence #729 from 00103707 from sent1

Text  : Dołączona aparatura występuje w wersjach 27 Mhz i 40 Mhz ._
Tokens: 1________ 2________ 3________ 4 5_______ 6_ 7__ 8 9_ 10_ 11

Chunks:
  FalsePositive nam [7,7] = Mhz (confidence=0.66) (incorrect boundry)

(ChunkerEvaluator) Sentence #730 from 00103707 from sent2

Text  : Jest uproszczonym odpowiednikiem aparatury typu drążkowego , jednak zamiast drążków ma duże ,_ wygodne ,_ gumowe przyciski ._
Tokens: 1___ 2___________ 3_____________ 4________ 5___ 6_________ 7 8_____ 9______ 10_____ 11 12__ 13 14_____ 15 16____ 17_______ 18

Chunks:

(ChunkerEvaluator) Sentence #731 from 00103707 from sent3

Text  : Jest to bardzo dobry pomysł , ponieważ znacznie ułatwia sterowanie najmłodszym ._
Tokens: 1___ 2_ 3_____ 4____ 5_____ 6 7_______ 8_______ 9______ 10________ 11_________ 12

Chunks:

(ChunkerEvaluator) Sentence #732 from 00103707 from sent4

Text  : Ponadto przyciski trudno jest uszkodzić , w przeciwieństwie do drążków ,_ które w_ zabawkowych modelach bywaj dosyć delikatne i_ w_ ferworze walki mogą ulec wyłamaniu ._
Tokens: 1______ 2________ 3_____ 4___ 5________ 6 7 8______________ 9_ 10_____ 11 12___ 13 14_________ 15______ 16___ 17___ 18_______ 19 20 21______ 22___ 23__ 24__ 25_______ 26

Chunks:

(ChunkerEvaluator) Sentence #733 from 00103707 from sent5

Text  : Aparatura jest dwukanałowa , jeden kanał wykorzystywany jest do sterowania gazem ,_ drugi do sterowania skrętem kół ._
Tokens: 1________ 2___ 3__________ 4 5____ 6____ 7_____________ 8___ 9_ 10________ 11___ 12 13___ 14 15________ 16_____ 17_ 18

Chunks:

(ChunkerEvaluator) Sentence #734 from 00103707 from sent6

Text  : Sterowanie nie jest proporcjonalne , czyli nie ma możliwości płynnego sterowania ani gazem ani skrętem kół ._
Tokens: 1_________ 2__ 3___ 4_____________ 5 6____ 7__ 8_ 9_________ 10______ 11________ 12_ 13___ 14_ 15_____ 16_ 17

Chunks:

(ChunkerEvaluator) Sentence #735 from 00103707 from sent7

Text  : Dostępne są jedynie trzy położenia gazu : brak gazu ,_ pełna prędkość do przodu oraz pełna prędkość do tyłu i_ podobnie dla skrętu kół :_ pełny skręt w_ lewo ,_ pełny skręt w_ prawo oraz jazda na wprost ._
Tokens: 1_______ 2_ 3______ 4___ 5________ 6___ 7 8___ 9___ 10 11___ 12______ 13 14____ 15__ 16___ 17______ 18 19__ 20 21______ 22_ 23____ 24_ 25 26___ 27___ 28 29__ 30 31___ 32___ 33 34___ 35__ 36___ 37 38____ 39

Chunks:

(ChunkerEvaluator) Sentence #736 from 00103707 from sent8

Text  : Autko napędzane jest na tylną oś , nie posiada dyferencjału ,_ co oznacza że obydwa napędzane koła kręcą się zawsze z_ tą samą prędkością ._
Tokens: 1____ 2________ 3___ 4_ 5____ 6_ 7 8__ 9______ 10__________ 11 12 13_____ 14 15____ 16_______ 17__ 18___ 19_ 20____ 21 22 23__ 24________ 25

Chunks:

(ChunkerEvaluator) Sentence #737 from 00103707 from sent9

Text  : Układ przeniesienia napędu , czyli zestaw zębatek przenoszących ruch silnika na koła ,_ jest obudowany ;_ wszystkie zębatki są dobrze osłonięte przed zanieczyszczeniem ._
Tokens: 1____ 2____________ 3_____ 4 5____ 6_____ 7______ 8____________ 9___ 10_____ 11 12__ 13 14__ 15_______ 16 17_______ 18_____ 19 20____ 21_______ 22___ 23_______________ 24

Chunks:

(ChunkerEvaluator) Sentence #738 from 00103707 from sent10

Text  : Samochód nie posiada amortyzatorów – zawieszenie jest sztywne .
Tokens: 1_______ 2__ 3______ 4____________ 5 6__________ 7___ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #739 from 00103707 from sent11

Text  : Opony są dosyć twarde i mają bieżnik z kolcami ._
Tokens: 1____ 2_ 3____ 4_____ 5 6___ 7______ 8 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #740 from 00103707 from sent12

Text  : Kolce przydają się wprawdzie przy jeździe w terenie , jednak sprawiają sporo kłopotu na płaskiej nawierzchni ._
Tokens: 1____ 2_______ 3__ 4________ 5___ 6______ 7 8______ 9 10____ 11_______ 12___ 13_____ 14 15______ 16_________ 17

Chunks:

(ChunkerEvaluator) Sentence #741 from 00103707 from sent13

Text  : Ponieważ opona styka się z nawierzchnią jedynie końcami twardych kolców ,_ powierzchnia styku jest bardzo mała i_ samochód traci przyczepność przy ruszaniu ._
Tokens: 1_______ 2____ 3____ 4__ 5 6___________ 7______ 8______ 9_______ 10____ 11 12__________ 13___ 14__ 15____ 16__ 17 18______ 19___ 20__________ 21__ 22______ 23

Chunks:

(ChunkerEvaluator) Sentence #742 from 00103707 from sent14

Text  : Prostym sposobem poradzenia sobie tym problemem jest obcięcie kolców ostrym nożykiem ._
Tokens: 1______ 2_______ 3_________ 4____ 5__ 6________ 7___ 8_______ 9_____ 10____ 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #743 from 00103707 from sent15

Text  : Sposób ten oczywiście można polecić jedynie osobom posiadającym dodatkowy komplet opon ._
Tokens: 1_____ 2__ 3_________ 4____ 5______ 6______ 7_____ 8___________ 9________ 10_____ 11__ 12

Chunks:

(ChunkerEvaluator) Sentence #744 from 00103707 from sent16

Text  : Wymiana opon jest bardzo prosta , sprowadza się do odkręcenia trzech śrubek przytrzymujących kołpak i_ zsunięcia opony ._
Tokens: 1______ 2___ 3___ 4_____ 5_____ 6 7________ 8__ 9_ 10________ 11____ 12____ 13______________ 14____ 15 16_______ 17___ 18

Chunks:

(ChunkerEvaluator) Sentence #745 from 00103707 from sent17

Text  : Niestety same opony nie są dostępne w handlu , podobnie jak żadne inne części do tych autek ._
Tokens: 1_______ 2___ 3____ 4__ 5_ 6_______ 7 8_____ 9 10______ 11_ 12___ 13__ 14____ 15 16__ 17___ 18

Chunks:

(ChunkerEvaluator) Sentence #746 from 00103707 from sent18

Text  : Jedynym sposobem pozyskania części jest więc zdobycie uszkodzonego autka z_ tej samej serii ._
Tokens: 1______ 2_______ 3_________ 4_____ 5___ 6___ 7_______ 8___________ 9____ 10 11_ 12___ 13___ 14

Chunks:

2017-06-14 20:24:23,975 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 53 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103739.xml
(ChunkerEvaluator) Sentence #747 from 00103739 from sent1

Text  : Trzy linki na ( nie taki znów ) długi weekend
Tokens: 1___ 2____ 3_ 4 5__ 6___ 7___ 8 9____ 10_____

Chunks:

(ChunkerEvaluator) Sentence #748 from 00103739 from sent2

Text  : Pejzaż medialny po procesie “ Pirate Bay ” , edukacja w_ dobie kultury uczestnictwa i_ nowa książka Lessiga ._
Tokens: 1_____ 2_______ 3_ 4_______ 5 6_____ 7__ 8 9 10______ 11 12___ 13_____ 14__________ 15 16__ 17_____ 18_____ 19

Chunks:
  TruePositive nam [6,7] = Pirate Bay (confidence=1.00)
  TruePositive nam [18,18] = Lessiga (confidence=0.95)

(ChunkerEvaluator) Sentence #749 from 00103739 from sent3

Text  : 1 ) Tym , którzy wciąż chcą dyskutować o plusach i_ minusach piractwa (_ ja coraz częściej mam wrażenie ,_ że argumenty jednej strony nie trafiają do drugiej i_ odwrotnie )_ polecam ciekawy tekst z_ “_ Wired ”_ -_ zdecydowanie z_ obozu “_ przegrany proces Pirate Bay nic nie zmieni ”_ ._
Tokens: 1 2 3__ 4 5_____ 6____ 7___ 8_________ 9 10_____ 11 12______ 13______ 14 15 16___ 17______ 18_ 19______ 20 21 22_______ 23____ 24____ 25_ 26______ 27 28_____ 29 30_______ 31 32_____ 33_____ 34___ 35 36 37___ 38 39 40__________ 41 42___ 43 44_______ 45____ 46____ 47_ 48_ 49_ 50____ 51 52

Chunks:
  TruePositive nam [37,37] = Wired (confidence=0.99)
  TruePositive nam [46,47] = Pirate Bay (confidence=0.99)

(ChunkerEvaluator) Sentence #750 from 00103739 from sent4

Text  : 2 ) Edukacja w kulturze uczestnictwa - specjalne wydanie pisma “_ Threshold ”_ ._
Tokens: 1 2 3_______ 4 5_______ 6___________ 7 8________ 9______ 10___ 11 12_______ 13 14

Chunks:
  TruePositive nam [12,12] = Threshold (confidence=0.86)

(ChunkerEvaluator) Sentence #751 from 00103739 from sent5

Text  : 3 ) A na koniec najważniejsze - “ Remix ”_ Lessiga wreszcie w_ sieci ._
Tokens: 1 2 3 4_ 5_____ 6____________ 7 8 9____ 10 11_____ 12______ 13 14___ 15

Chunks:
  TruePositive nam [9,9] = Remix (confidence=0.87)
  TruePositive nam [11,11] = Lessiga (confidence=0.99)

2017-06-14 20:24:24,005 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 54 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103745.xml
(ChunkerEvaluator) Sentence #752 from 00103745 from sent1

Text  : SOKOLNIKI : WIELKI SPÓŹNIONY DZIEŃ DZIECKA
Tokens: 1________ 2 3_____ 4________ 5____ 6______

Chunks:
  FalseNegative nam [1,1] = SOKOLNIKI
  FalseNegative nam [5,6] = DZIEŃ DZIECKA

(ChunkerEvaluator) Sentence #753 from 00103745 from sent2

Text  : Podczas imprezy zbierane będą pieniądze na dożywianie dzieci w roku szkolnym ze szkół z_ terenu Gminy Ozorków ._
Tokens: 1______ 2______ 3_______ 4___ 5________ 6_ 7_________ 8_____ 9 10__ 11______ 12 13___ 14 15____ 16___ 17_____ 18

Chunks:
  FalsePositive nam [16,17] = Gminy Ozorków (confidence=0.77) (incorrect boundry)
  FalseNegative nam [17,17] = Ozorków

(ChunkerEvaluator) Sentence #754 from 00103745 from sent3

Text  : Dla uczestników przygotowano wiele atrakcji :
Tokens: 1__ 2__________ 3___________ 4____ 5_______ 6

Chunks:

(ChunkerEvaluator) Sentence #755 from 00103745 from sent4

Text  : pokazy pierwszej pomocy ,
Tokens: 1_____ 2________ 3_____ 4

Chunks:

(ChunkerEvaluator) Sentence #756 from 00103745 from sent5

Text  : autokar krwiodastwa ,
Tokens: 1______ 2__________ 3

Chunks:

(ChunkerEvaluator) Sentence #757 from 00103745 from sent6

Text  : konkurs w jedzeniu pączków ,
Tokens: 1______ 2 3_______ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #758 from 00103745 from sent7

Text  : wybory małej miss ,
Tokens: 1_____ 2____ 3___ 4

Chunks:

(ChunkerEvaluator) Sentence #759 from 00103745 from sent8

Text  : przejażdżki konno ,
Tokens: 1__________ 2____ 3

Chunks:

(ChunkerEvaluator) Sentence #760 from 00103745 from sent9

Text  : konkurs plastyczny ,
Tokens: 1______ 2_________ 3

Chunks:

(ChunkerEvaluator) Sentence #761 from 00103745 from sent10

Text  : konkurs fotograficzny , temat : " Dziecko w Sokolnikach "_ ,_ z_ najlepszych prac zostanie zorganizowana wystawa ,_
Tokens: 1______ 2____________ 3 4____ 5 6 7______ 8 9__________ 10 11 12 13_________ 14__ 15______ 16___________ 17_____ 18

Chunks:
  FalsePositive nam [9,9] = Sokolnikach (confidence=0.65) (incorrect boundry)
  FalseNegative nam [7,9] = Dziecko w Sokolnikach

(ChunkerEvaluator) Sentence #762 from 00103745 from sent11

Text  : Bezpieczne Lato - spotkanie z Policją .
Tokens: 1_________ 2___ 3 4________ 5 6______ 7

Chunks:
  TruePositive nam [1,2] = Bezpieczne Lato (confidence=0.99)
  FalsePositive nam [6,6] = Policją (confidence=0.93) (incorrect boundry)

2017-06-14 20:24:24,027 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 55 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103878.xml
(ChunkerEvaluator) Sentence #763 from 00103878 from sent1

Text  : I czy to jest realne ?
Tokens: 1 2__ 3_ 4___ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #764 from 00103878 from sent2

Text  : Że we śnie przyśniły mu się liczby ?
Tokens: 1_ 2_ 3___ 4________ 5_ 6__ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #765 from 00103878 from sent3

Text  : I że akurat zapomniał ten jeden raz ?
Tokens: 1 2_ 3_____ 4________ 5__ 6____ 7__ 8

Chunks:

(ChunkerEvaluator) Sentence #766 from 00103878 from sent4

Text  : Co za zbieg okoliczności !
Tokens: 1_ 2_ 3____ 4___________ 5

Chunks:

(ChunkerEvaluator) Sentence #767 from 00103878 from sent5

Text  : Był by m milionerem .
Tokens: 1__ 2_ 3 4_________ 5

Chunks:

(ChunkerEvaluator) Sentence #768 from 00103878 from sent6

Text  : Miał by m dom , mieszkali by śmy tam z_ ojcem ,_ zaczęli by śmy ze sobą rozmawiać ,_ mecze oglądali by śmy nie tylko w_ soboty i_ nie musiał by m_ już przechodzić przez te katusze procesu edukacji ,_ które bezduszny los postawił na mojej drodze ._
Tokens: 1___ 2_ 3 4__ 5 6________ 7_ 8__ 9__ 10 11___ 12 13_____ 14 15_ 16 17__ 18_______ 19 20___ 21______ 22 23_ 24_ 25___ 26 27____ 28 29_ 30____ 31 32 33_ 34_________ 35___ 36 37_____ 38_____ 39______ 40 41___ 42_______ 43_ 44______ 45 46___ 47____ 48

Chunks:

(ChunkerEvaluator) Sentence #769 from 00103878 from sent7

Text  : Nie musiał by m zabierać bogatym , bo sam był by m_ bogaty ._
Tokens: 1__ 2_____ 3_ 4 5_______ 6______ 7 8_ 9__ 10_ 11 12 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #770 from 00103878 from sent8

Text  : Żyli by śmy z procentów i z lokat w banku szwajcarskim ._
Tokens: 1___ 2_ 3__ 4 5________ 6 7 8____ 9 10___ 11__________ 12

Chunks:

(ChunkerEvaluator) Sentence #771 from 00103878 from sent9

Text  : Pani pojmuje ?
Tokens: 1___ 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #772 from 00103878 from sent10

Text  : Fortuna iuvat .
Tokens: 1______ 2____ 3

Chunks:

(ChunkerEvaluator) Sentence #773 from 00103878 from sent11

Text  : Mam taką książeczkę do łaciny , Bez pomocy Orbiliusza ,_ czasem z_ nudów sobie czytam do poduszki ._
Tokens: 1__ 2___ 3_________ 4_ 5_____ 6 7__ 8_____ 9_________ 10 11____ 12 13___ 14___ 15____ 16 17______ 18

Chunks:
  FalsePositive nam [7,9] = Bez pomocy Orbiliusza (confidence=0.95) (incorrect boundry)
  FalseNegative nam [9,9] = Orbiliusza

(ChunkerEvaluator) Sentence #774 from 00103878 from sent12

Text  : I takie lupus in fabula zawsze lubię gdzieś wsadzić ._
Tokens: 1 2____ 3____ 4_ 5_____ 6_____ 7____ 8_____ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #775 from 00103878 from sent13

Text  : 5 – 12 - 23 – 36 - 45 –_ 49 ._
Tokens: 1 2 3_ 4 5_ 6 7_ 8 9_ 10 11 12

Chunks:

(ChunkerEvaluator) Sentence #776 from 00103878 from sent14

Text  : Nawet szukał em w encyklopedii , co te daty mogą znaczyć ._
Tokens: 1____ 2_____ 3_ 4 5___________ 6 7_ 8_ 9___ 10__ 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #777 from 00103878 from sent15

Text  : Bo sobie pomyślał em , że może to jakieś są daty :_ piąty grudnia dwudziestego trzeciego roku czy coś ._
Tokens: 1_ 2____ 3_______ 4_ 5 6_ 7___ 8_ 9_____ 10 11__ 12 13___ 14_____ 15__________ 16_______ 17__ 18_ 19_ 20

Chunks:

(ChunkerEvaluator) Sentence #778 from 00103878 from sent16

Text  : Ale nie znalazł em .
Tokens: 1__ 2__ 3______ 4_ 5

Chunks:

(ChunkerEvaluator) Sentence #779 from 00103878 from sent17

Text  : 45 – to koniec drugiej wojny i urodziny ojca ._
Tokens: 1_ 2 3_ 4_____ 5______ 6____ 7 8_______ 9___ 10

Chunks:

(ChunkerEvaluator) Sentence #780 from 00103878 from sent18

Text  : 45 i 49 – jak się doda , to mamy 94 :_ dziewiątkę ,_ świętą cyfrę ,_ boską jak tchnienie Ducha ,_ i_ czwórkę ,_ liczbę świata ,_ jak w_ Bogurodzicy ._ ._ ._
Tokens: 1_ 2 3_ 4 5__ 6__ 7___ 8 9_ 10__ 11 12 13________ 14 15____ 16___ 17 18___ 19_ 20_______ 21___ 22 23 24_____ 25 26____ 27____ 28 29_ 30 31_________ 32 33 34

Chunks:
  TruePositive nam [21,21] = Ducha (confidence=1.00)
  TruePositive nam [31,31] = Bogurodzicy (confidence=0.99)

(ChunkerEvaluator) Sentence #781 from 00103878 from sent19

Text  : Ale na nic ta cała numerologia i kabała bezradna ._
Tokens: 1__ 2_ 3__ 4_ 5___ 6__________ 7 8_____ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #782 from 00103878 from sent20

Text  : Pani mi nie wierzy ?
Tokens: 1___ 2_ 3__ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #783 from 00103878 from sent21

Text  : Wie pani , dla mnie ta opowieść jest bardziej realna niż wszystkie te kradzieże ,_ których dokonał em w_ ciągu następnych pięciu lat ._
Tokens: 1__ 2___ 3 4__ 5___ 6_ 7_______ 8___ 9_______ 10____ 11_ 12_______ 13 14_______ 15 16_____ 17_____ 18 19 20___ 21________ 22____ 23_ 24

Chunks:

(ChunkerEvaluator) Sentence #784 from 00103878 from sent22

Text  : Ten sen z piątku na sobotę mojego ojca .
Tokens: 1__ 2__ 3 4_____ 5_ 6_____ 7_____ 8___ 9

Chunks:

(ChunkerEvaluator) Sentence #785 from 00103878 from sent23

Text  : Ale nikt mi nie wierzy .
Tokens: 1__ 2___ 3_ 4__ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #786 from 00103878 from sent24

Text  : Ja teraz ludzi dzielę na tych , co mi wierzą ,_ i_ na tych ,_ co mi nie wierzą ._
Tokens: 1_ 2____ 3____ 4_____ 5_ 6___ 7 8_ 9_ 10____ 11 12 13 14__ 15 16 17 18_ 19____ 20

Chunks:

(ChunkerEvaluator) Sentence #787 from 00103878 from sent25

Text  : Choć wie pani , może by m i sam nie uwierzył ,_ gdyby mi to ktoś drugi opowiedział …_
Tokens: 1___ 2__ 3___ 4 5___ 6_ 7 8 9__ 10_ 11______ 12 13___ 14 15 16__ 17___ 18_________ 19

Chunks:

(ChunkerEvaluator) Sentence #788 from 00103878 from sent26

Text  : Dziwny ten świat .
Tokens: 1_____ 2__ 3____ 4

Chunks:

(ChunkerEvaluator) Sentence #789 from 00103878 from sent27

Text  : Niekiedy nachodzi mnie myśl taka - że życie to jedna wielka ściema ,_ taki sobiechny sen ._
Tokens: 1_______ 2_______ 3___ 4___ 5___ 6 7_ 8____ 9_ 10___ 11____ 12____ 13 14__ 15_______ 16_ 17

Chunks:

(ChunkerEvaluator) Sentence #790 from 00103878 from sent28

Text  : Sen , w którym jedni wygrywają , a inni przegrywają w_ totka ._
Tokens: 1__ 2 3 4_____ 5____ 6________ 7 8 9___ 10_________ 11 12___ 13

Chunks:

2017-06-14 20:24:24,120 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 56 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103923.xml
(ChunkerEvaluator) Sentence #791 from 00103923 from sent1

Text  : Wczoraj przyjechali rodzice Śliwki .
Tokens: 1______ 2__________ 3______ 4_____ 5

Chunks:
  TruePositive nam [4,4] = Śliwki (confidence=1.00)

(ChunkerEvaluator) Sentence #792 from 00103923 from sent2

Text  : Obiad , trochę tokaju ( stamtąd pochodzą ) , zaczęli śmy gadać i_ ojciec Śliwki opowiedział historię ,_ która mimo ,_ że sama w_ sobie nie jest niczym szczególnie dramatycznym ,_ na mnie jednak zrobiła wrażenie ._
Tokens: 1____ 2 3_____ 4_____ 5 6______ 7_______ 8 9 10_____ 11_ 12___ 13 14____ 15____ 16_________ 17______ 18 19___ 20__ 21 22 23__ 24 25___ 26_ 27__ 28____ 29_________ 30__________ 31 32 33__ 34____ 35_____ 36______ 37

Chunks:
  TruePositive nam [15,15] = Śliwki (confidence=1.00)

(ChunkerEvaluator) Sentence #793 from 00103923 from sent3

Text  : W 1956 dał się wybrać , jak to określił ,_ do rady robotniczej we wsi ,_ w_ której wówczas mieszkali ._
Tokens: 1 2___ 3__ 4__ 5_____ 6 7__ 8_ 9_______ 10 11 12__ 13_________ 14 15_ 16 17 18____ 19_____ 20_______ 21

Chunks:

(ChunkerEvaluator) Sentence #794 from 00103923 from sent4

Text  : Uważał , że powinien to zrobić w celu zapewnienia porządku ._
Tokens: 1_____ 2 3_ 4_______ 5_ 6_____ 7 8___ 9__________ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #795 from 00103923 from sent5

Text  : Był wówczas dyrektorem szkoły z internatem , więc w naturalny sposób wypełniał rolę miejscowego autorytetu ._
Tokens: 1__ 2______ 3_________ 4_____ 5 6_________ 7 8___ 9 10_______ 11____ 12_______ 13__ 14_________ 15________ 16

Chunks:

(ChunkerEvaluator) Sentence #796 from 00103923 from sent6

Text  : W zasadzie nie zrobił niczego poza tym i po upadku powstania nie dosięgły go natychmiastowe represje typu aresztowanie czy proces ._
Tokens: 1 2_______ 3__ 4_____ 5______ 6___ 7__ 8 9_ 10____ 11_______ 12_ 13______ 14 15____________ 16______ 17__ 18__________ 19_ 20____ 21

Chunks:

(ChunkerEvaluator) Sentence #797 from 00103923 from sent7

Text  : Popadł jednak w izolację i mimo tego , że był dyrektorem szkoły ,_ nikt z_ władz się z_ nim nie kontaktował ,_ co z_ racji łączącej się z_ tym wówczas niepewności nie było zbyt miłe ._
Tokens: 1_____ 2_____ 3 4_______ 5 6___ 7___ 8 9_ 10_ 11________ 12____ 13 14__ 15 16___ 17_ 18 19_ 20_ 21_________ 22 23 24 25___ 26______ 27_ 28 29_ 30_____ 31_________ 32_ 33__ 34__ 35__ 36

Chunks:

(ChunkerEvaluator) Sentence #798 from 00103923 from sent8

Text  : Stan ten trwał aż do roku 1958 , kiedy na jakimś przyjęciu jeden z_ miejscowych oficjeli powiedział mu ,_ "_ Towarzyszu ,_ wasza sprawa została już zamknięta ._
Tokens: 1___ 2__ 3____ 4_ 5_ 6___ 7___ 8 9____ 10 11____ 12_______ 13___ 14 15_________ 16______ 17________ 18 19 20 21________ 22 23___ 24____ 25_____ 26_ 27_______ 28

Chunks:
  FalsePositive nam [21,21] = Towarzyszu (confidence=0.62) (incorrect boundry)

(ChunkerEvaluator) Sentence #799 from 00103923 from sent9

Text  : Radziecki sąd wojskowy zadecydował , że możecie pozostać na stanowisku ,_ tyle tylko ,_ że ,_ pamiętajcie ,_ poza naszym województwem nigdy już nie będziecie mogli zająć żadnego kierowniczego stanowiska "_ ._
Tokens: 1________ 2__ 3_______ 4__________ 5 6_ 7______ 8_______ 9_ 10________ 11 12__ 13___ 14 15 16 17_________ 18 19__ 20____ 21__________ 22___ 23_ 24_ 25_______ 26___ 27___ 28_____ 29___________ 30________ 31 32

Chunks:

(ChunkerEvaluator) Sentence #800 from 00103923 from sent10

Text  : Ojciec Śliwki nie bardzo się tym przejął , bo jakże to tak ,_ takiej kary przecież nigdzie nie ma ._
Tokens: 1_____ 2_____ 3__ 4_____ 5__ 6__ 7______ 8 9_ 10___ 11 12_ 13 14____ 15__ 16______ 17_____ 18_ 19 20

Chunks:
  TruePositive nam [2,2] = Śliwki (confidence=0.80)

(ChunkerEvaluator) Sentence #801 from 00103923 from sent11

Text  : Kiedy jednak później przenieśli się gdzie indziej i miejscowy notabl dwa razy zatrzymywał go na ulicy ,_ żeby mu powiedzieć ,_ że tutaj nie dostanie kierowniczego stanowiska ,_ zrozumiał ,_ że mu wtedy prawdę powiedzieli ._
Tokens: 1____ 2_____ 3______ 4_________ 5__ 6____ 7______ 8 9________ 10____ 11_ 12__ 13_________ 14 15 16___ 17 18__ 19 20________ 21 22 23___ 24_ 25______ 26___________ 27________ 28 29_______ 30 31 32 33___ 34____ 35_________ 36

Chunks:

(ChunkerEvaluator) Sentence #802 from 00103923 from sent12

Text  : I tak też było aż do końca socjalizmu , czyli tutaj 1990 roku :_ sąd ,_ o_ którym nie wiedział i_ którego nie widział ,_ wyrok ,_ którego nie ma w_ żadnym kodeksie ważny bezterminowo ._
Tokens: 1 2__ 3__ 4___ 5_ 6_ 7____ 8_________ 9 10___ 11___ 12__ 13__ 14 15_ 16 17 18____ 19_ 20______ 21 22_____ 23_ 24_____ 25 26___ 27 28_____ 29_ 30 31 32____ 33______ 34___ 35__________ 36

Chunks:

(ChunkerEvaluator) Sentence #803 from 00103923 from sent13

Text  : Zapisuję tę historyjkę , żeby nie zapomnieć .
Tokens: 1_______ 2_ 3_________ 4 5___ 6__ 7________ 8

Chunks:

(ChunkerEvaluator) Sentence #804 from 00103923 from sent14

Text  : Brzmi to trywialnie , ale mnie samemu czasami już nie chcę wierzyć w_ rzeczy ,_ które przecież sam pamiętam ._
Tokens: 1____ 2_ 3_________ 4 5__ 6___ 7_____ 8______ 9__ 10_ 11__ 12_____ 13 14____ 15 16___ 17______ 18_ 19______ 20

Chunks:

(ChunkerEvaluator) Sentence #805 from 00103923 from sent15

Text  : To zbyt absurdalne , zbyt straszne , zbyt bezsensowne ,_ żeby się mogło przytrafić naprawdę ._
Tokens: 1_ 2___ 3_________ 4 5___ 6_______ 7 8___ 9__________ 10 11__ 12_ 13___ 14________ 15______ 16

Chunks:

(ChunkerEvaluator) Sentence #806 from 00103923 from sent16

Text  : Poza tym zbieram takie historyjki na wypadek znowu spotkania jakiegoś obrońcy byłego systemu ,_ według którego wszystko było ok ,_ budowały się fabryki a_ ludzie mieli pracę ._
Tokens: 1___ 2__ 3______ 4____ 5_________ 6_ 7______ 8____ 9________ 10______ 11_____ 12____ 13_____ 14 15____ 16_____ 17______ 18__ 19 20 21______ 22_ 23_____ 24 25____ 26___ 27___ 28

Chunks:

2017-06-14 20:24:24,217 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 57 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107242.xml
(ChunkerEvaluator) Sentence #807 from 00107242 from sent1

Text  : 2005-03-31 : Terri Schiavo , 41 , zmarła na Florydzie
Tokens: 1_________ 2 3____ 4______ 5 6_ 7 8_____ 9_ 10_______

Chunks:
  TruePositive nam [3,4] = Terri Schiavo (confidence=1.00)
  TruePositive nam [10,10] = Florydzie (confidence=0.99)

(ChunkerEvaluator) Sentence #808 from 00107242 from sent2

Text  : Jak poinformował prasę rzecznik rodziców Terri Schiavo , Paul O'Donnell ,_ ich córka zmarła dziś rankiem o_ 10 :_ 00 lokalnego czasu (_ 17 :_ 00 czasu polskiego )_ po 13 dniach od odłączenia tuby dostarczającej jej pożywienie ._
Tokens: 1__ 2___________ 3____ 4_______ 5_______ 6____ 7______ 8 9___ 10_______ 11 12_ 13___ 14____ 15__ 16_____ 17 18 19 20 21_______ 22___ 23 24 25 26 27___ 28_______ 29 30 31 32____ 33 34________ 35__ 36____________ 37_ 38________ 39

Chunks:
  TruePositive nam [6,7] = Terri Schiavo (confidence=1.00)
  TruePositive nam [9,10] = Paul O'Donnell (confidence=1.00)

(ChunkerEvaluator) Sentence #809 from 00107242 from sent3

Text  : Jej rodzice nie mieli wstępu do jej sali w chwili zgonu ._
Tokens: 1__ 2______ 3__ 4____ 5_____ 6_ 7__ 8___ 9 10____ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #810 from 00107242 from sent4

Text  : Miała 41 lat .
Tokens: 1____ 2_ 3__ 4

Chunks:

(ChunkerEvaluator) Sentence #811 from 00107242 from sent5

Text  : Michael Schiavo , mąż Terri , wnosił do sądu Florydy o_ odłączenie jego żony od tuby ,_ aby nie cierpiała i_ zmarła ._
Tokens: 1______ 2______ 3 4__ 5____ 6 7_____ 8_ 9___ 10_____ 11 12________ 13__ 14__ 15 16__ 17 18_ 19_ 20_______ 21 22____ 23

Chunks:
  TruePositive nam [1,2] = Michael Schiavo (confidence=1.00)
  TruePositive nam [5,5] = Terri (confidence=1.00)
  TruePositive nam [10,10] = Florydy (confidence=0.97)

(ChunkerEvaluator) Sentence #812 from 00107242 from sent6

Text  : 18 marca , sąd wyraził zgodę na jej odłączenie ,_ jednak rodzice Terri ,_ Robert i_ Mary Schindler ,_ odwoływali się od decyzji ._
Tokens: 1_ 2____ 3 4__ 5______ 6____ 7_ 8__ 9_________ 10 11____ 12_____ 13___ 14 15____ 16 17__ 18_______ 19 20________ 21_ 22 23_____ 24

Chunks:
  TruePositive nam [13,13] = Terri (confidence=1.00)
  TruePositive nam [15,15] = Robert (confidence=1.00)
  TruePositive nam [17,18] = Mary Schindler (confidence=0.90)

(ChunkerEvaluator) Sentence #813 from 00107242 from sent7

Text  : Pomimo zgody kongresu Stanów Zjednoczonych na ponowne podłączenie Terri ,_ podpisanej przez prezydenta Stanów Zjednoczonych 21 marca nie wykonano tego ._
Tokens: 1_____ 2____ 3_______ 4_____ 5____________ 6_ 7______ 8__________ 9____ 10 11________ 12___ 13________ 14____ 15___________ 16 17___ 18_ 19______ 20__ 21

Chunks:
  TruePositive nam [9,9] = Terri (confidence=1.00)
  TruePositive nam [14,15] = Stanów Zjednoczonych (confidence=1.00)
  FalsePositive nam [4,5] = Stanów Zjednoczonych (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,5] = kongresu Stanów Zjednoczonych

(ChunkerEvaluator) Sentence #814 from 00107242 from sent8

Text  : Wcześniej sąd stanowy i sąd federalny nie zgodził się na podłączenie aparatury umożliwiającej sztuczne odżywianie Terri ,_ a_ Najwyższy Sąd Stanów Zjednoczonych nie zgodził się na taką samą prośbę Schindlerów 24 marca ._
Tokens: 1________ 2__ 3______ 4 5__ 6________ 7__ 8______ 9__ 10 11_________ 12_______ 13____________ 14______ 15________ 16___ 17 18 19_______ 20_ 21____ 22___________ 23_ 24_____ 25_ 26 27__ 28__ 29____ 30_________ 31 32___ 33

Chunks:
  TruePositive nam [16,16] = Terri (confidence=1.00)
  TruePositive nam [19,22] = Najwyższy Sąd Stanów Zjednoczonych (confidence=0.78)
  TruePositive nam [30,30] = Schindlerów (confidence=0.97)

(ChunkerEvaluator) Sentence #815 from 00107242 from sent9

Text  : Pomimo licznych protestów , które odbyły się pod szpitalem ,_ nie udało się uratować Terri ._
Tokens: 1_____ 2_______ 3________ 4 5____ 6_____ 7__ 8__ 9________ 10 11_ 12___ 13_ 14______ 15___ 16

Chunks:
  TruePositive nam [15,15] = Terri (confidence=0.99)

(ChunkerEvaluator) Sentence #816 from 00107242 from sent10

Text  : Otrzymała ona ostatnią komunię w Niedzielę Wielkanocną .
Tokens: 1________ 2__ 3_______ 4______ 5 6________ 7__________ 8

Chunks:
  TruePositive nam [6,7] = Niedzielę Wielkanocną (confidence=0.99)

(ChunkerEvaluator) Sentence #817 from 00107242 from sent11

Text  : Michael Schiavo chce , aby jego żona została poddana kremacji i_ spoczęła w_ rodzinnym grobie rodziny Schiavo ,_ pomimo protestów jej rodziców ._
Tokens: 1______ 2______ 3___ 4 5__ 6___ 7___ 8______ 9______ 10______ 11 12______ 13 14_______ 15____ 16_____ 17_____ 18 19____ 20_______ 21_ 22______ 23

Chunks:
  TruePositive nam [1,2] = Michael Schiavo (confidence=1.00)
  TruePositive nam [17,17] = Schiavo (confidence=1.00)

(ChunkerEvaluator) Sentence #818 from 00107242 from sent12

Text  : Przedtem jednak zostanie wykonana sekcja zwłok , aby udowodnić publice ogromne i_ nieodwracalne uszkodzenie mózgu Terri ._
Tokens: 1_______ 2_____ 3_______ 4_______ 5_____ 6____ 7 8__ 9________ 10_____ 11_____ 12 13___________ 14_________ 15___ 16___ 17

Chunks:
  TruePositive nam [16,16] = Terri (confidence=1.00)

(ChunkerEvaluator) Sentence #819 from 00107242 from sent13

Text  : Na temat śmierci Amerykanki wypowiedział się także George W ._ Bush ._
Tokens: 1_ 2____ 3______ 4_________ 5___________ 6__ 7____ 8_____ 9 10 11__ 12

Chunks:
  TruePositive nam [4,4] = Amerykanki (confidence=0.97)
  TruePositive nam [8,11] = George W . Bush (confidence=1.00)

(ChunkerEvaluator) Sentence #820 from 00107242 from sent14

Text  : " Nalegam , aby wszyscy , którzy szanują Terri Schiavo kontynuowali pracę nad tworzeniem kultury życia ,_ w_ którym wszyscy Amerykanie będą szanowani i_ chronieni ,_ w_ szczególności ci ,_ którzy żyją na łasce innych ._
Tokens: 1 2______ 3 4__ 5______ 6 7_____ 8______ 9____ 10_____ 11__________ 12___ 13_ 14________ 15_____ 16___ 17 18 19____ 20_____ 21________ 22__ 23_______ 24 25_______ 26 27 28___________ 29 30 31____ 32__ 33 34___ 35____ 36

Chunks:
  TruePositive nam [9,10] = Terri Schiavo (confidence=1.00)
  TruePositive nam [21,21] = Amerykanie (confidence=1.00)

(ChunkerEvaluator) Sentence #821 from 00107242 from sent15

Text  : W przypadkach gdy mamy wątpliwości i pytania , powinni śmy założyć dobro innych ,_ by żyli dalej ._ "_ -_ Powiedział prezydent Stanów Zjednoczonych ._
Tokens: 1 2__________ 3__ 4___ 5__________ 6 7______ 8 9______ 10_ 11_____ 12___ 13____ 14 15 16__ 17___ 18 19 20 21________ 22_______ 23____ 24___________ 25

Chunks:
  TruePositive nam [23,24] = Stanów Zjednoczonych (confidence=1.00)

(ChunkerEvaluator) Sentence #822 from 00107242 from sent16

Text  : Jak powiedział George Felos , adwokat Michaela Schiavo , Terri Schiavo sama chciała umrzeć w_ obecnym stanie i_ została spełniona jej wola ._
Tokens: 1__ 2_________ 3_____ 4____ 5 6______ 7_______ 8______ 9 10___ 11_____ 12__ 13_____ 14____ 15 16_____ 17____ 18 19_____ 20_______ 21_ 22__ 23

Chunks:
  TruePositive nam [3,4] = George Felos (confidence=1.00)
  TruePositive nam [7,8] = Michaela Schiavo (confidence=1.00)
  TruePositive nam [10,11] = Terri Schiavo (confidence=1.00)

(ChunkerEvaluator) Sentence #823 from 00107242 from sent17

Text  : Sprawa Terri wywołała dyskusję na temat eutanazji i leczenia osób sparaliżowanych ._
Tokens: 1_____ 2____ 3_______ 4_______ 5_ 6____ 7________ 8 9_______ 10__ 11_____________ 12

Chunks:
  TruePositive nam [2,2] = Terri (confidence=0.97)

(ChunkerEvaluator) Sentence #824 from 00107242 from sent18

Text  : Archiwum
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #825 from 00107242 from sent19

Text  : Terri Schiavo będzie żyła , 21 marca 2005
Tokens: 1____ 2______ 3_____ 4___ 5 6_ 7____ 8___

Chunks:
  TruePositive nam [1,2] = Terri Schiavo (confidence=1.00)

(ChunkerEvaluator) Sentence #826 from 00107242 from sent20

Text  : Przebieg sprawy Terri Schiavo
Tokens: 1_______ 2_____ 3____ 4______

Chunks:
  TruePositive nam [3,4] = Terri Schiavo (confidence=1.00)

(ChunkerEvaluator) Sentence #827 from 00107242 from sent21

Text  : Źródła
Tokens: 1_____

Chunks:

(ChunkerEvaluator) Sentence #828 from 00107242 from sent22

Text  : William Branigin - Washington Post , 31 marca 2005
Tokens: 1______ 2_______ 3 4_________ 5___ 6 7_ 8____ 9___

Chunks:
  TruePositive nam [1,2] = William Branigin (confidence=1.00)
  TruePositive nam [4,5] = Washington Post (confidence=0.99)

(ChunkerEvaluator) Sentence #829 from 00107242 from sent23

Text  : Kristin Jensen Bloomberg.com , 31 marca 2005
Tokens: 1______ 2_____ 3____________ 4 5_ 6____ 7___

Chunks:
  FalsePositive nam [1,3] = Kristin Jensen Bloomberg.com (confidence=1.00) (incorrect boundry)
  FalseNegative nam [1,2] = Kristin Jensen
  FalseNegative nam [3,3] = Bloomberg.com

2017-06-14 20:24:24,312 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 58 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107250.xml
(ChunkerEvaluator) Sentence #830 from 00107250 from sent1

Text  : 2005-08-01 : W Australii nie pograją w San Andreas
Tokens: 1_________ 2 3 4________ 5__ 6______ 7 8__ 9______

Chunks:
  TruePositive nam [4,4] = Australii (confidence=0.99)
  TruePositive nam [8,9] = San Andreas (confidence=1.00)

(ChunkerEvaluator) Sentence #831 from 00107250 from sent2

Text  : Australijska organizacja Office of Film and Literature Classification , która zajmuje się klasyfikowaniem książek ,_ filmów oraz gier wydała zakaz rozprowadzania gry Grand Theft Auto :_ San Andreas na terenie całego kraju ._
Tokens: 1___________ 2__________ 3_____ 4_ 5___ 6__ 7_________ 8_____________ 9 10___ 11_____ 12_ 13_____________ 14_____ 15 16____ 17__ 18__ 19____ 20___ 21____________ 22_ 23___ 24___ 25__ 26 27_ 28_____ 29 30_____ 31____ 32___ 33

Chunks:
  TruePositive nam [3,8] = Office of Film and Literature Classification (confidence=0.63)
  TruePositive nam [23,28] = Grand Theft Auto : San Andreas (confidence=1.00)

(ChunkerEvaluator) Sentence #832 from 00107250 from sent3

Text  : Kupowanie , sprzedawanie , wypożyczanie oraz reklamowanie gry będzie karalne ._
Tokens: 1________ 2 3___________ 4 5___________ 6___ 7___________ 8__ 9_____ 10_____ 11

Chunks:

(ChunkerEvaluator) Sentence #833 from 00107250 from sent4

Text  : OFLC wcześniej przyznało San Andreas kategorię wiekową od 15 lat ._
Tokens: 1___ 2________ 3________ 4__ 5______ 6________ 7______ 8_ 9_ 10_ 11

Chunks:
  TruePositive nam [1,1] = OFLC (confidence=1.00)
  TruePositive nam [4,5] = San Andreas (confidence=0.93)

(ChunkerEvaluator) Sentence #834 from 00107250 from sent5

Text  : Przyczyną zmiany są sceny seksualne zawarte w grze , które pierwotnie są zablokowane ,_ ale dają się odblokować za pomocą modyfikacji napisanej przez Patricka Wildenborga ._
Tokens: 1________ 2_____ 3_ 4____ 5________ 6______ 7 8___ 9 10___ 11________ 12 13_________ 14 15_ 16__ 17_ 18________ 19 20____ 21_________ 22_______ 23___ 24______ 25_________ 26

Chunks:
  TruePositive nam [24,25] = Patricka Wildenborga (confidence=1.00)

(ChunkerEvaluator) Sentence #835 from 00107250 from sent6

Text  : Des Clark , prezes OFLC , powiedział , że Sklepy które sprzedają bądź wypożyczają gry komputerowe powinny szybko zdjąć ze sklepowych półek tę grę ._
Tokens: 1__ 2____ 3 4_____ 5___ 6 7_________ 8 9_ 10____ 11___ 12_______ 13__ 14_________ 15_ 16_________ 17_____ 18____ 19___ 20 21________ 22___ 23 24_ 25

Chunks:
  TruePositive nam [1,2] = Des Clark (confidence=0.98)
  TruePositive nam [5,5] = OFLC (confidence=1.00)

(ChunkerEvaluator) Sentence #836 from 00107250 from sent7

Text  : Rodzice powinni zwrócić uwagę na dostęp do gry dzieciom ,_ gdyż mogą trafić na modyfikację "_ Hot Coffee "_ -_ dodał ._
Tokens: 1______ 2______ 3______ 4____ 5_ 6_____ 7_ 8__ 9_______ 10 11__ 12__ 13____ 14 15_________ 16 17_ 18____ 19 20 21___ 22

Chunks:
  TruePositive nam [17,18] = Hot Coffee (confidence=1.00)

(ChunkerEvaluator) Sentence #837 from 00107250 from sent8

Text  : Na liście gier zakazanych w Australii obok niedawno wpisanego GTA znajdują się między innymi Doom ,_ Duke Nukem 3D i_ Phantasmagoria ._
Tokens: 1_ 2_____ 3___ 4_________ 5 6________ 7___ 8_______ 9________ 10_ 11______ 12_ 13____ 14____ 15__ 16 17__ 18___ 19 20 21____________ 22

Chunks:
  TruePositive nam [6,6] = Australii (confidence=1.00)
  TruePositive nam [10,10] = GTA (confidence=0.96)
  TruePositive nam [15,15] = Doom (confidence=0.91)
  TruePositive nam [17,19] = Duke Nukem 3D (confidence=1.00)
  TruePositive nam [21,21] = Phantasmagoria (confidence=0.59)

(ChunkerEvaluator) Sentence #838 from 00107250 from sent9

Text  : Polska
Tokens: 1_____

Chunks:
  FalsePositive nam [1,1] = Polska (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #839 from 00107250 from sent10

Text  : A jak wygląda reakcja na aferę w Polsce ?
Tokens: 1 2__ 3______ 4______ 5_ 6____ 7 8_____ 9

Chunks:
  TruePositive nam [8,8] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #840 from 00107250 from sent11

Text  : Reporterzy Wikinews postanowili zapytać o zdanie przedstawiciela Cenegi Poland -_ dystrybutora gry w_ Polsce ._
Tokens: 1_________ 2_______ 3__________ 4______ 5 6_____ 7______________ 8_____ 9_____ 10 11__________ 12_ 13 14____ 15

Chunks:
  TruePositive nam [2,2] = Wikinews (confidence=0.99)
  TruePositive nam [8,9] = Cenegi Poland (confidence=0.91)
  TruePositive nam [14,14] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #841 from 00107250 from sent12

Text  : Wojciech Gatys uspokaja fanów znad Wisły : Sprawa Hot Coffee nie wpłynie na polską premierę ._
Tokens: 1_______ 2____ 3_______ 4____ 5___ 6____ 7 8_____ 9__ 10____ 11_ 12_____ 13 14____ 15______ 16

Chunks:
  TruePositive nam [1,2] = Wojciech Gatys (confidence=1.00)
  TruePositive nam [6,6] = Wisły (confidence=0.97)
  FalsePositive nam [8,10] = Sprawa Hot Coffee (confidence=0.93) (incorrect boundry)
  FalseNegative nam [9,10] = Hot Coffee

(ChunkerEvaluator) Sentence #842 from 00107250 from sent13

Text  : Dodał także , że mało prawdopodobne jest włączenie patcha blokującego modyfikację do pudełkowej wersji gry (_ premiera w_ sierpniu )_ ._
Tokens: 1____ 2____ 3 4_ 5___ 6____________ 7___ 8________ 9_____ 10_________ 11_________ 12 13________ 14____ 15_ 16 17______ 18 19______ 20 21

Chunks:

(ChunkerEvaluator) Sentence #843 from 00107250 from sent14

Text  : Wszak Grand Theft Auto : San Andreas od początku było w_ Polsce grą przeznaczoną dla dorosłych (_ od 18 roku życia )_ ._
Tokens: 1____ 2____ 3____ 4___ 5 6__ 7______ 8_ 9_______ 10__ 11 12____ 13_ 14__________ 15_ 16_______ 17 18 19 20__ 21___ 22 23

Chunks:
  TruePositive nam [2,7] = Grand Theft Auto : San Andreas (confidence=1.00)
  TruePositive nam [12,12] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #844 from 00107250 from sent15

Text  : Według opinii fanów , które można znaleźć na forach dyskusyjnych ,_ przeważają zdania o_ tym ,_ iż gra ze względu na zbyt wysoką brutalność i_ kontrowersyjną tematykę (_ kradzieże ,_ prostytucja ,_ hazard )_ i_ tak nie powinna być przeznaczona dla dzieci ._
Tokens: 1_____ 2_____ 3____ 4 5____ 6____ 7______ 8_ 9_____ 10__________ 11 12________ 13____ 14 15_ 16 17 18_ 19 20_____ 21 22__ 23____ 24________ 25 26____________ 27______ 28 29_______ 30 31_________ 32 33____ 34 35 36_ 37_ 38_____ 39_ 40__________ 41_ 42____ 43

Chunks:

(ChunkerEvaluator) Sentence #845 from 00107250 from sent16

Text  : Archiwum
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #846 from 00107250 from sent17

Text  : Grand Theft Auto : San Andreas tylko dla dorosłych -_ 21 lipca 2005
Tokens: 1____ 2____ 3___ 4 5__ 6______ 7____ 8__ 9________ 10 11 12___ 13__

Chunks:
  TruePositive nam [1,6] = Grand Theft Auto : San Andreas (confidence=0.99)

2017-06-14 20:24:24,395 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 59 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107255.xml
(ChunkerEvaluator) Sentence #847 from 00107255 from sent1

Text  : 2006-01-21 : Nowa stabilizacyjna propozycja PiS-u
Tokens: 1_________ 2 3___ 4_____________ 5_________ 6____

Chunks:
  TruePositive nam [6,6] = PiS-u (confidence=1.00)

(ChunkerEvaluator) Sentence #848 from 00107255 from sent2

Text  : Jarosław Kaczyński kieruje do wszystkich partii z wyjątkiem SLD propozycję stworzenia Bloku Naprawy Państwa ._
Tokens: 1_______ 2________ 3______ 4_ 5_________ 6_____ 7 8________ 9__ 10________ 11________ 12___ 13_____ 14_____ 15

Chunks:
  TruePositive nam [1,2] = Jarosław Kaczyński (confidence=1.00)
  TruePositive nam [9,9] = SLD (confidence=0.81)
  TruePositive nam [12,14] = Bloku Naprawy Państwa (confidence=1.00)

(ChunkerEvaluator) Sentence #849 from 00107255 from sent3

Text  : Koalicja taka miała by powstać na bazie wcześniejszej propozycji zawarcia Paktu Stabilizacyjnego ._
Tokens: 1_______ 2___ 3____ 4_ 5______ 6_ 7____ 8____________ 9_________ 10______ 11___ 12______________ 13

Chunks:
  TruePositive nam [11,12] = Paktu Stabilizacyjnego (confidence=0.99)

(ChunkerEvaluator) Sentence #850 from 00107255 from sent4

Text  : Od kilku dni Prawo i Sprawiedliwość prowadzi konsultacje z Ligą Polskich Rodzin ,_ Samoobroną i_ Polskim Stronnictwem Ludowym na temat przyjęcia ostatecznego kształtu paktu stabilizacyjnego ,_ który ma zostać podpisany w_ przyszłym tygodniu ._
Tokens: 1_ 2____ 3__ 4____ 5 6_____________ 7_______ 8__________ 9 10__ 11______ 12____ 13 14________ 15 16_____ 17__________ 18_____ 19 20___ 21_______ 22__________ 23______ 24___ 25______________ 26 27___ 28 29____ 30_______ 31 32_______ 33______ 34

Chunks:
  TruePositive nam [4,6] = Prawo i Sprawiedliwość (confidence=1.00)
  TruePositive nam [10,12] = Ligą Polskich Rodzin (confidence=0.99)
  TruePositive nam [14,14] = Samoobroną (confidence=1.00)
  TruePositive nam [16,18] = Polskim Stronnictwem Ludowym (confidence=0.99)
  FalseNegative nam [24,25] = paktu stabilizacyjnego

(ChunkerEvaluator) Sentence #851 from 00107255 from sent5

Text  : Porozumienie ma polegać na poparciu dla rządu Marcinkiewicza przez głosowanie za uchwaleniem ważniejszych ustaw przez najbliższe pół roku z_ promesą zawarcia koalicji po tym okresie ._
Tokens: 1___________ 2_ 3______ 4_ 5_______ 6__ 7____ 8_____________ 9____ 10________ 11 12_________ 13__________ 14___ 15___ 16________ 17_ 18__ 19 20_____ 21______ 22______ 23 24_ 25_____ 26

Chunks:
  TruePositive nam [8,8] = Marcinkiewicza (confidence=1.00)

(ChunkerEvaluator) Sentence #852 from 00107255 from sent6

Text  : Jak napisała dziś Gazeta Wyborcza , jedna z tych ustaw ma być dotyczyć sposobu powoływania urzędników państwowych ._
Tokens: 1__ 2_______ 3___ 4_____ 5_______ 6 7____ 8 9___ 10___ 11 12_ 13______ 14_____ 15_________ 16________ 17_________ 18

Chunks:
  TruePositive nam [4,5] = Gazeta Wyborcza (confidence=1.00)

(ChunkerEvaluator) Sentence #853 from 00107255 from sent7

Text  : Dotychczasowy system konkursów , według dziennika , ma zostać zastąpiony systemem mianowania ._
Tokens: 1____________ 2_____ 3________ 4 5_____ 6________ 7 8_ 9_____ 10________ 11______ 12________ 13

Chunks:

(ChunkerEvaluator) Sentence #854 from 00107255 from sent8

Text  : Rada Polityczna PiS przyjęła dziś uchwałę , w której podkreślono ,_ że zdecydowanie lepszym dla Polskim rozwiązaniem niż wcześniejsze wybory ,_ będzie powstanie Bloku Naprawy Państwa stabilizującego zaplecze rządu w_ Sejmie "_ ._
Tokens: 1___ 2_________ 3__ 4_______ 5___ 6______ 7 8 9_____ 10_________ 11 12 13__________ 14_____ 15_ 16_____ 17__________ 18_ 19__________ 20____ 21 22____ 23_______ 24___ 25_____ 26_____ 27_____________ 28______ 29___ 30 31____ 32 33

Chunks:
  TruePositive nam [1,3] = Rada Polityczna PiS (confidence=0.99)
  TruePositive nam [24,26] = Bloku Naprawy Państwa (confidence=0.99)
  TruePositive nam [31,31] = Sejmie (confidence=1.00)
  FalseNegative nam [16,16] = Polskim

(ChunkerEvaluator) Sentence #855 from 00107255 from sent9

Text  : Jak podkreślił Jarosław Kaczyński , formacja ta powstała by po wypełnieniu założeń wspomnianego wyżej paktu stabilizacyjnego ._
Tokens: 1__ 2_________ 3_______ 4________ 5 6_______ 7_ 8_______ 9_ 10 11_________ 12_____ 13__________ 14___ 15___ 16______________ 17

Chunks:
  TruePositive nam [3,4] = Jarosław Kaczyński (confidence=1.00)
  FalseNegative nam [15,16] = paktu stabilizacyjnego

(ChunkerEvaluator) Sentence #856 from 00107255 from sent10

Text  : Na poniedziałek szef PiS zapowiedział " poważną " rozmowę z_ przywódcami Platformy Obywatelskiej ._
Tokens: 1_ 2___________ 3___ 4__ 5___________ 6 7______ 8 9______ 10 11_________ 12_______ 13___________ 14

Chunks:
  TruePositive nam [4,4] = PiS (confidence=1.00)
  TruePositive nam [12,13] = Platformy Obywatelskiej (confidence=1.00)

(ChunkerEvaluator) Sentence #857 from 00107255 from sent11

Text  : Nie chciał jednak zdradzić szczegółów planowanego spotkania .
Tokens: 1__ 2_____ 3_____ 4_______ 5_________ 6__________ 7________ 8

Chunks:

(ChunkerEvaluator) Sentence #858 from 00107255 from sent12

Text  : Sam nie weźmie w nim udziału .
Tokens: 1__ 2__ 3_____ 4 5__ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #859 from 00107255 from sent13

Text  : Na pytanie o to spotkanie wiceszef PO , Jan Rokita ,_ odpowiedział ,_ że nie zamierza uczestniczyć w_ chocholim tańcu Kaczyńskiego '_ '_ ,_ ale uniknął jednoznacznej odpowiedzi na to ,_ czy weźmie w_ nim udział ._
Tokens: 1_ 2______ 3 4_ 5________ 6_______ 7_ 8 9__ 10____ 11 12__________ 13 14 15_ 16______ 17__________ 18 19_______ 20___ 21__________ 22 23 24 25_ 26_____ 27___________ 28________ 29 30 31 32_ 33____ 34 35_ 36____ 37

Chunks:
  TruePositive nam [7,7] = PO (confidence=1.00)
  TruePositive nam [9,10] = Jan Rokita (confidence=1.00)
  TruePositive nam [21,21] = Kaczyńskiego (confidence=1.00)

2017-06-14 20:24:24,462 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 60 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107291.xml
(ChunkerEvaluator) Sentence #860 from 00107291 from sent1

Text  : 2007-09-01 : Prokuratura ujawniła nagrania dotyczące zatrzymania Netzela , Marca ,_ Kornatowskiego i_ Kaczmarka
Tokens: 1_________ 2 3__________ 4_______ 5_______ 6________ 7__________ 8______ 9 10___ 11 12____________ 13 14_______

Chunks:
  TruePositive nam [8,8] = Netzela (confidence=1.00)
  TruePositive nam [10,10] = Marca (confidence=1.00)
  TruePositive nam [12,12] = Kornatowskiego (confidence=1.00)
  TruePositive nam [14,14] = Kaczmarka (confidence=0.98)

(ChunkerEvaluator) Sentence #861 from 00107291 from sent2

Text  : Netzel , Marzec , Kornatowski , Kaczmarek , a nawet jego żona -_ to nazwiska ,_ które pojawiły się na taśmach ._
Tokens: 1_____ 2 3_____ 4 5__________ 6 7________ 8 9 10___ 11__ 12__ 13 14 15______ 16 17___ 18______ 19_ 20 21_____ 22

Chunks:
  TruePositive nam [1,1] = Netzel (confidence=0.74)
  TruePositive nam [3,3] = Marzec (confidence=1.00)
  TruePositive nam [5,5] = Kornatowski (confidence=1.00)
  TruePositive nam [7,7] = Kaczmarek (confidence=1.00)

(ChunkerEvaluator) Sentence #862 from 00107291 from sent3

Text  : Materiały z podsłuchów ujawnione przez śledczych przedstawiają tajne informacje o_ akcji CBA i_ chronią „_ dużego płatnika ”_ ._
Tokens: 1________ 2 3_________ 4________ 5____ 6________ 7____________ 8____ 9_________ 10 11___ 12_ 13 14_____ 15 16____ 17______ 18 19

Chunks:
  TruePositive nam [12,12] = CBA (confidence=0.95)

(ChunkerEvaluator) Sentence #863 from 00107291 from sent4

Text  : Śledczy twierdzą , że jest to kryptonim Krauzego .
Tokens: 1______ 2_______ 3 4_ 5___ 6_ 7________ 8_______ 9

Chunks:
  TruePositive nam [8,8] = Krauzego (confidence=1.00)

(ChunkerEvaluator) Sentence #864 from 00107291 from sent5

Text  : Rozmowy „ układu z Trójmiasta ” pochodzą w większości z_ 13 lipca 2007 roku ._
Tokens: 1______ 2 3_____ 4 5_________ 6 7_______ 8 9_________ 10 11 12___ 13__ 14__ 15

Chunks:
  TruePositive nam [5,5] = Trójmiasta (confidence=0.99)

(ChunkerEvaluator) Sentence #865 from 00107291 from sent6

Text  : Wtedy właśnie były szef CBŚ , Jarosław Marzec , zdradził b_ ._ szefowi policji Konradowi Kornatowskiemu ,_ że agenci CBA planują wejść do domu Ryszarda Krauzego ._
Tokens: 1____ 2______ 3___ 4___ 5__ 6 7_______ 8_____ 9 10______ 11 12 13_____ 14_____ 15_______ 16____________ 17 18 19____ 20_ 21_____ 22___ 23 24__ 25______ 26______ 27

Chunks:
  TruePositive nam [5,5] = CBŚ (confidence=0.99)
  TruePositive nam [7,8] = Jarosław Marzec (confidence=1.00)
  TruePositive nam [15,16] = Konradowi Kornatowskiemu (confidence=1.00)
  TruePositive nam [20,20] = CBA (confidence=1.00)
  TruePositive nam [25,26] = Ryszarda Krauzego (confidence=1.00)

(ChunkerEvaluator) Sentence #866 from 00107291 from sent7

Text  : Miliarder przekazuje to Januszowi Kaczmarkowi .
Tokens: 1________ 2_________ 3_ 4________ 5__________ 6

Chunks:
  TruePositive nam [4,5] = Januszowi Kaczmarkowi (confidence=1.00)
  FalsePositive nam [1,1] = Miliarder (confidence=0.93) (incorrect boundry)

(ChunkerEvaluator) Sentence #867 from 00107291 from sent8

Text  : Później Kaczmarek wykonuje telefon do Kornatowskiego i opowiada o swoim przesłuchaniu w_ prokuraturze ._
Tokens: 1______ 2________ 3_______ 4______ 5_ 6_____________ 7 8_______ 9 10___ 11___________ 12 13__________ 14

Chunks:
  TruePositive nam [2,2] = Kaczmarek (confidence=0.99)
  TruePositive nam [6,6] = Kornatowskiego (confidence=0.98)

(ChunkerEvaluator) Sentence #868 from 00107291 from sent9

Text  : Chwilę później nieznany informator ostrzega Kornatowskiego , że agenci CBA planują akcję w_ domu Kaczmarka ._
Tokens: 1_____ 2______ 3_______ 4_________ 5_______ 6_____________ 7 8_ 9_____ 10_ 11_____ 12___ 13 14__ 15_______ 16

Chunks:
  TruePositive nam [6,6] = Kornatowskiego (confidence=1.00)
  TruePositive nam [10,10] = CBA (confidence=1.00)
  TruePositive nam [15,15] = Kaczmarka (confidence=1.00)

(ChunkerEvaluator) Sentence #869 from 00107291 from sent10

Text  : Były komendant policji od razu jedzie do posiadłości swojego szefa i_ przy okazji ostrzega jego żonę ._
Tokens: 1___ 2________ 3______ 4_ 5___ 6_____ 7_ 8__________ 9______ 10___ 11 12__ 13____ 14______ 15__ 16__ 17

Chunks:

(ChunkerEvaluator) Sentence #870 from 00107291 from sent11

Text  : Ostatnia rozmowa pochodząca z tego dnia to telefon Kornatowskiego do Netzla ._
Tokens: 1_______ 2______ 3_________ 4 5___ 6___ 7_ 8______ 9_____________ 10 11____ 12

Chunks:
  TruePositive nam [9,9] = Kornatowskiego (confidence=1.00)
  TruePositive nam [11,11] = Netzla (confidence=0.96)

(ChunkerEvaluator) Sentence #871 from 00107291 from sent12

Text  : Były szef policji błaga w niej , by Netzel nie jechał zeznawać (_ został wezwany na przesłuchanie przez ministra Ziobrę )_ ._
Tokens: 1___ 2___ 3______ 4____ 5 6___ 7 8_ 9_____ 10_ 11____ 12______ 13 14____ 15_____ 16 17___________ 18___ 19______ 20____ 21 22

Chunks:
  TruePositive nam [9,9] = Netzel (confidence=0.97)
  TruePositive nam [20,20] = Ziobrę (confidence=0.97)

(ChunkerEvaluator) Sentence #872 from 00107291 from sent13

Text  : Prosi również , by zapewnił on Kaczmarkowi alibi .
Tokens: 1____ 2______ 3 4_ 5_______ 6_ 7__________ 8____ 9

Chunks:
  TruePositive nam [7,7] = Kaczmarkowi (confidence=0.94)

(ChunkerEvaluator) Sentence #873 from 00107291 from sent14

Text  : Wszystkie informacje zostały potwierdzone w ostatniej rozmowie , która odbyła się 16 sierpnia ._
Tokens: 1________ 2_________ 3______ 4___________ 5 6________ 7_______ 8 9____ 10____ 11_ 12 13______ 14

Chunks:

(ChunkerEvaluator) Sentence #874 from 00107291 from sent15

Text  : Według prokuratury jest ona jednym z kluczowych dowodów w sprawie ._
Tokens: 1_____ 2__________ 3___ 4__ 5_____ 6 7_________ 8______ 9 10_____ 11

Chunks:

(ChunkerEvaluator) Sentence #875 from 00107291 from sent16

Text  : Jaromir Netzel mówi w niej , że wie , iż Kaczmarek używa go jako alibi ._
Tokens: 1______ 2_____ 3___ 4 5___ 6 7_ 8__ 9 10 11_______ 12___ 13 14__ 15___ 16

Chunks:
  TruePositive nam [1,2] = Jaromir Netzel (confidence=1.00)
  TruePositive nam [11,11] = Kaczmarek (confidence=1.00)

(ChunkerEvaluator) Sentence #876 from 00107291 from sent17

Text  : „ Ja jestem alibi na wszystko ” - żali się ._
Tokens: 1 2_ 3_____ 4____ 5_ 6_______ 7 8 9___ 10_ 11

Chunks:

(ChunkerEvaluator) Sentence #877 from 00107291 from sent18

Text  : Zobacz też
Tokens: 1_____ 2__

Chunks:

(ChunkerEvaluator) Sentence #878 from 00107291 from sent19

Text  : Lech Kaczyński zostanie przesłuchany w sprawie przecieku w CBA ,_ 1_ września 2007
Tokens: 1___ 2________ 3_______ 4___________ 5 6______ 7________ 8 9__ 10 11 12______ 13__

Chunks:
  TruePositive nam [1,2] = Lech Kaczyński (confidence=0.99)
  TruePositive nam [9,9] = CBA (confidence=1.00)

(ChunkerEvaluator) Sentence #879 from 00107291 from sent20

Text  : Wojciech Wierzejski : " pierwszy sukces biało - czerwonego miasteczka "_ ,_ 1_ września 2007
Tokens: 1_______ 2_________ 3 4 5_______ 6_____ 7____ 8 9_________ 10________ 11 12 13 14______ 15__

Chunks:
  TruePositive nam [1,2] = Wojciech Wierzejski (confidence=1.00)

2017-06-14 20:24:24,536 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 61 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107322.xml
(ChunkerEvaluator) Sentence #880 from 00107322 from sent1

Text  : 2008-11-17 : Wrocław : " Podróż na Wschód 2008 "_ -_ pokaz zdjęć
Tokens: 1_________ 2 3______ 4 5 6_____ 7_ 8_____ 9___ 10 11 12___ 13___

Chunks:
  TruePositive nam [3,3] = Wrocław (confidence=0.96)
  FalsePositive nam [6,8] = Podróż na Wschód (confidence=0.50) (incorrect boundry)
  FalseNegative nam [6,9] = Podróż na Wschód 2008

(ChunkerEvaluator) Sentence #881 from 00107322 from sent2

Text  : 25 listopada w Muzeum Etnograficznym we Wrocławiu odbędzie się kolejne wydarzenie prezentujące kulturę i_ tradycję Tybetu ._
Tokens: 1_ 2________ 3 4_____ 5_____________ 6_ 7________ 8_______ 9__ 10_____ 11________ 12__________ 13_____ 14 15______ 16____ 17

Chunks:
  TruePositive nam [4,5] = Muzeum Etnograficznym (confidence=0.99)
  TruePositive nam [7,7] = Wrocławiu (confidence=1.00)
  TruePositive nam [16,16] = Tybetu (confidence=0.99)

(ChunkerEvaluator) Sentence #882 from 00107322 from sent3

Text  : O godzinie 17 : 00 odbędzie się pokaz zdjęć autorstwa Marii Kulik ,_ Wojtka Plucińskiego ,_ Jarosława Kotasa i_ Szymona Jabłońskiego wykonanych podczas Podróży na Wschód 2008 ._
Tokens: 1 2_______ 3_ 4 5_ 6_______ 7__ 8____ 9____ 10_______ 11___ 12___ 13 14____ 15__________ 16 17_______ 18____ 19 20_____ 21__________ 22________ 23_____ 24_____ 25 26____ 27__ 28

Chunks:
  TruePositive nam [11,12] = Marii Kulik (confidence=1.00)
  TruePositive nam [14,15] = Wojtka Plucińskiego (confidence=1.00)
  TruePositive nam [17,18] = Jarosława Kotasa (confidence=1.00)
  TruePositive nam [20,21] = Szymona Jabłońskiego (confidence=0.96)
  FalsePositive nam [24,24] = Podróży (confidence=0.97) (incorrect boundry)
  FalsePositive nam [26,26] = Wschód (confidence=0.61) (incorrect boundry)
  FalseNegative nam [24,27] = Podróży na Wschód 2008

(ChunkerEvaluator) Sentence #883 from 00107322 from sent4

Text  : Fotografie zostały zrobione podczas pobytu uczestników Podróży w tybetańskich klasztorach północnych Indii i_ Nepalu na przełomie października i_ listopada ._
Tokens: 1_________ 2______ 3_______ 4______ 5_____ 6__________ 7______ 8 9___________ 10_________ 11________ 12___ 13 14____ 15 16_______ 17__________ 18 19_______ 20

Chunks:
  TruePositive nam [12,12] = Indii (confidence=0.97)
  TruePositive nam [14,14] = Nepalu (confidence=1.00)
  FalsePositive nam [7,7] = Podróży (confidence=0.75) (incorrect boundry)

(ChunkerEvaluator) Sentence #884 from 00107322 from sent5

Text  : Wyjazd zorganizowany został przez Międzynarodową Sanghę Tenzina Wangyala Rinpocze ,_ Mistrza Dzogczen Tradycji Yungdrung Bon ._
Tokens: 1_____ 2____________ 3_____ 4____ 5_____________ 6_____ 7______ 8_______ 9_______ 10 11_____ 12______ 13______ 14_______ 15_ 16

Chunks:
  FalsePositive nam [5,9] = Międzynarodową Sanghę Tenzina Wangyala Rinpocze (confidence=1.00) (incorrect boundry)
  FalsePositive nam [11,15] = Mistrza Dzogczen Tradycji Yungdrung Bon (confidence=0.80) (incorrect boundry)
  FalseNegative nam [5,6] = Międzynarodową Sanghę
  FalseNegative nam [7,9] = Tenzina Wangyala Rinpocze
  FalseNegative nam [11,12] = Mistrza Dzogczen
  FalseNegative nam [14,15] = Yungdrung Bon

(ChunkerEvaluator) Sentence #885 from 00107322 from sent6

Text  : Tematyka zdjęć omówiona zostanie przez mnicha Szymona Jabłońskiego .
Tokens: 1_______ 2____ 3_______ 4_______ 5____ 6_____ 7______ 8___________ 9

Chunks:
  TruePositive nam [7,8] = Szymona Jabłońskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #886 from 00107322 from sent7

Text  : Zobacz też
Tokens: 1_____ 2__

Chunks:

(ChunkerEvaluator) Sentence #887 from 00107322 from sent8

Text  : Muzeum Etnograficzne we Wrocławiu : wykład pt . " Yungdrung Bon Odwieczna Tradycja "_
Tokens: 1_____ 2____________ 3_ 4________ 5 6_____ 7_ 8 9 10_______ 11_ 12_______ 13______ 14

Chunks:
  TruePositive nam [1,2] = Muzeum Etnograficzne (confidence=0.51)
  TruePositive nam [4,4] = Wrocławiu (confidence=0.99)
  TruePositive nam [10,13] = Yungdrung Bon Odwieczna Tradycja (confidence=1.00)

(ChunkerEvaluator) Sentence #888 from 00107322 from sent9

Text  : Wrocław : 26 czerwca kolejny wykład w Muzeum Etnograficznym we Wrocławiu
Tokens: 1______ 2 3_ 4______ 5______ 6_____ 7 8_____ 9_____________ 10 11_______

Chunks:
  TruePositive nam [1,1] = Wrocław (confidence=0.83)
  TruePositive nam [8,9] = Muzeum Etnograficznym (confidence=0.99)
  TruePositive nam [11,11] = Wrocławiu (confidence=0.96)

(ChunkerEvaluator) Sentence #889 from 00107322 from sent10

Text  : Źródła
Tokens: 1_____

Chunks:

(ChunkerEvaluator) Sentence #890 from 00107322 from sent11

Text  : lista dyskusyjna Wikinews
Tokens: 1____ 2_________ 3_______

Chunks:
  TruePositive nam [3,3] = Wikinews (confidence=0.97)

2017-06-14 20:24:24,572 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 62 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107346.xml
(ChunkerEvaluator) Sentence #891 from 00107346 from sent1

Text  : 2009-09-23 : Limity emisji CO2 dla Polski i Estonii będą większe
Tokens: 1_________ 2 3_____ 4_____ 5__ 6__ 7_____ 8 9______ 10__ 11_____

Chunks:
  TruePositive nam [5,5] = CO2 (confidence=0.62)
  TruePositive nam [7,7] = Polski (confidence=0.96)
  TruePositive nam [9,9] = Estonii (confidence=1.00)

(ChunkerEvaluator) Sentence #892 from 00107346 from sent2

Text  : W środę unijny Sąd Pierwszej Instancji w Luksemburgu anulował werdykt Komisji Europejskiej z_ 2007 r_ ._ dotyczący krajowych limitów emisji gazów cieplarnianych dla Polski i_ Estonii na lata 2008 -_ 2012 ._
Tokens: 1 2____ 3_____ 4__ 5________ 6________ 7 8__________ 9_______ 10_____ 11_____ 12__________ 13 14__ 15 16 17_______ 18_______ 19_____ 20____ 21___ 22____________ 23_ 24____ 25 26_____ 27 28__ 29__ 30 31__ 32

Chunks:
  TruePositive nam [4,6] = Sąd Pierwszej Instancji (confidence=0.99)
  TruePositive nam [8,8] = Luksemburgu (confidence=1.00)
  TruePositive nam [11,12] = Komisji Europejskiej (confidence=1.00)
  TruePositive nam [24,24] = Polski (confidence=1.00)
  TruePositive nam [26,26] = Estonii (confidence=1.00)

(ChunkerEvaluator) Sentence #893 from 00107346 from sent3

Text  : – Komisja Europejska naruszyła prawo , odrzucając krajowy program rozdziału emisji z_ uzasadnieniem ,_ które sprowadza się do wskazania ,_ iż istnieją wątpliwości co do wiarygodności wykorzystanych danych ._ –_ wskazali sędziowie w_ orzeczeniu ,_ w_ którym czytamy ponadto ,_ że „_ konsekwencją takich decyzji jest wkroczenie w_ zakres wyłącznej kompetencji ,_ którą dyrektywa przyznaje państwom członkowskim w_ zakresie określenia całkowitej liczby uprawnień ,_ którą zamierzają rozdzielić w_ odniesieniu do każdego z_ pięcioletnich okresów liczonych od dnia 1_ stycznia 2008 r_ ._ ”_
Tokens: 1 2______ 3_________ 4________ 5____ 6 7_________ 8______ 9______ 10_______ 11____ 12 13___________ 14 15___ 16_______ 17_ 18 19_______ 20 21 22______ 23_________ 24 25 26___________ 27____________ 28____ 29 30 31______ 32_______ 33 34________ 35 36 37____ 38_____ 39_____ 40 41 42 43__________ 44____ 45_____ 46__ 47________ 48 49____ 50_______ 51_________ 52 53___ 54_______ 55_______ 56______ 57__________ 58 59______ 60________ 61________ 62____ 63_______ 64 65___ 66________ 67________ 68 69_________ 70 71_____ 72 73___________ 74_____ 75_______ 76 77__ 78 79______ 80__ 81 82 83

Chunks:
  TruePositive nam [2,3] = Komisja Europejska (confidence=0.88)

(ChunkerEvaluator) Sentence #894 from 00107346 from sent4

Text  : Chodzi o decyzję Komisji z marca 2007 r . –_ określono wówczas dla Polski dopuszczalny limit emisji CO2 na 208 ,_ 5_ mln ton ._
Tokens: 1_____ 2 3______ 4______ 5 6____ 7___ 8 9 10 11_______ 12_____ 13_ 14____ 15__________ 16___ 17____ 18_ 19 20_ 21 22 23_ 24_ 25

Chunks:
  TruePositive nam [14,14] = Polski (confidence=1.00)
  TruePositive nam [18,18] = CO2 (confidence=0.83)

(ChunkerEvaluator) Sentence #895 from 00107346 from sent5

Text  : Ówczesny rząd Jarosława Kaczyńskiego obliczył , że potrzeby polskiej gospodarki sięgają rocznego limitu 284 ,_ 6_ mln ton ._
Tokens: 1_______ 2___ 3________ 4___________ 5_______ 6 7_ 8_______ 9_______ 10________ 11_____ 12______ 13____ 14_ 15 16 17_ 18_ 19

Chunks:
  TruePositive nam [3,4] = Jarosława Kaczyńskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #896 from 00107346 from sent6

Text  : W maju 2007 r .
Tokens: 1 2___ 3___ 4 5

Chunks:

(ChunkerEvaluator) Sentence #897 from 00107346 from sent7

Text  : Polska i Estonia zaskarżyły tę decyzję do sądu w Luksemburgu ._
Tokens: 1_____ 2 3______ 4_________ 5_ 6______ 7_ 8___ 9 10_________ 11

Chunks:
  TruePositive nam [1,1] = Polska (confidence=0.97)
  TruePositive nam [3,3] = Estonia (confidence=1.00)
  TruePositive nam [10,10] = Luksemburgu (confidence=1.00)

(ChunkerEvaluator) Sentence #898 from 00107346 from sent8

Text  : Na odwołanie się od wyroku Komisja Europejska ma dwa miesiące ._
Tokens: 1_ 2________ 3__ 4_ 5_____ 6______ 7_________ 8_ 9__ 10______ 11

Chunks:
  TruePositive nam [6,7] = Komisja Europejska (confidence=1.00)

2017-06-14 20:24:24,626 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 63 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107350.xml
(ChunkerEvaluator) Sentence #899 from 00107350 from sent1

Text  : 2009-11-12 : Afganistan : ponad 2000 zabitych cywili od początku roku
Tokens: 1_________ 2 3_________ 4 5____ 6___ 7_______ 8_____ 9_ 10______ 11__

Chunks:
  TruePositive nam [3,3] = Afganistan (confidence=1.00)

(ChunkerEvaluator) Sentence #900 from 00107350 from sent2

Text  : W wyniku działań wojennych i terrorystycznych na terytorium Afganistanu od stycznia do października tego roku zginęło ponad 2000 cywilów -_ ustaliła misja ONZ w_ Afganistanie UNAMA ._
Tokens: 1 2_____ 3______ 4________ 5 6_______________ 7_ 8_________ 9__________ 10 11______ 12 13__________ 14__ 15__ 16_____ 17___ 18__ 19_____ 20 21______ 22___ 23_ 24 25__________ 26___ 27

Chunks:
  TruePositive nam [9,9] = Afganistanu (confidence=1.00)
  TruePositive nam [23,23] = ONZ (confidence=1.00)
  FalsePositive nam [25,26] = Afganistanie UNAMA (confidence=1.00) (incorrect boundry)
  FalseNegative nam [25,25] = Afganistanie
  FalseNegative nam [26,26] = UNAMA

(ChunkerEvaluator) Sentence #901 from 00107350 from sent3

Text  : Wysoki Komisarz ONZ ds . praw człowieka Navi Pillay ,_ podał ,_ iż w_ 10 miesiącach w_ Afganistanie zginęło 2021 cywilów ._
Tokens: 1_____ 2_______ 3__ 4_ 5 6___ 7________ 8___ 9_____ 10 11___ 12 13 14 15 16________ 17 18__________ 19_____ 20__ 21_____ 22

Chunks:
  TruePositive nam [8,9] = Navi Pillay (confidence=0.87)
  TruePositive nam [18,18] = Afganistanie (confidence=1.00)
  FalsePositive nam [3,3] = ONZ (confidence=0.58) (incorrect boundry)
  FalseNegative nam [1,7] = Wysoki Komisarz ONZ ds . praw człowieka

(ChunkerEvaluator) Sentence #902 from 00107350 from sent4

Text  : Ta sama statystyka z roku ubiegłego i 2007 , przedstawiają się mniej dramatycznie ,_ bowiem w_ 2008 roku w_ pierwszych 10 miesiącach zginęło 1838 cywilów ,_ a_ rok wcześniej -_ 1275 ._
Tokens: 1_ 2___ 3_________ 4 5___ 6________ 7 8___ 9 10___________ 11_ 12___ 13__________ 14 15____ 16 17__ 18__ 19 20________ 21 22________ 23_____ 24__ 25_____ 26 27 28_ 29_______ 30 31__ 32

Chunks:

(ChunkerEvaluator) Sentence #903 from 00107350 from sent5

Text  : Więcej cywilów śmierć poniosło w wyniku terrorystycznej działalności talibów niż bombardowań lotnictwa NATO ,_ czy operacji naziemnych ._
Tokens: 1_____ 2______ 3_____ 4_______ 5 6_____ 7______________ 8___________ 9______ 10_ 11_________ 12_______ 13__ 14 15_ 16______ 17________ 18

Chunks:
  TruePositive nam [13,13] = NATO (confidence=0.99)

(ChunkerEvaluator) Sentence #904 from 00107350 from sent6

Text  : 1 397 osób zginęło przez działalność talibskich rebeliantów , 465 przez operacje aliantów ,_ 165 wskutek innych przyczyn ._
Tokens: 1 2__ 3___ 4______ 5____ 6__________ 7_________ 8__________ 9 10_ 11___ 12______ 13______ 14 15_ 16_____ 17____ 18______ 19

Chunks:

(ChunkerEvaluator) Sentence #905 from 00107350 from sent7

Text  : Najkrwawszym miesiącem był sierpień - miesiąc wyborczy .
Tokens: 1___________ 2________ 3__ 4_______ 5 6______ 7_______ 8

Chunks:

(ChunkerEvaluator) Sentence #906 from 00107350 from sent8

Text  : Wtedy zginęło aż 294 afgańskich cywilów .
Tokens: 1____ 2______ 3_ 4__ 5_________ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #907 from 00107350 from sent9

Text  : Tymczasem talibowie odpierają raport UNAMA i oskarżają siły rządowe i_ międzynarodowe o_ spowodowanie tak dużej liczby ofiar cywilnych ._
Tokens: 1________ 2________ 3________ 4_____ 5____ 6 7________ 8___ 9______ 10 11____________ 12 13__________ 14_ 15___ 16____ 17___ 18_______ 19

Chunks:
  TruePositive nam [5,5] = UNAMA (confidence=0.99)

(ChunkerEvaluator) Sentence #908 from 00107350 from sent10

Text  : Jeżeli chodzi o straty sił ISAF , to w pierwszych 10 miesiącach zginęło 453 żołnierzy z_ czego 281 stanowią Amerykanie ._
Tokens: 1_____ 2_____ 3 4_____ 5__ 6___ 7 8_ 9 10________ 11 12________ 13_____ 14_ 15_______ 16 17___ 18_ 19______ 20________ 21

Chunks:
  TruePositive nam [6,6] = ISAF (confidence=0.99)
  TruePositive nam [20,20] = Amerykanie (confidence=1.00)

(ChunkerEvaluator) Sentence #909 from 00107350 from sent11

Text  : W tym roku zginęło też siedmiu polskich wojskowych , a_ podczas całej misji 15 ._
Tokens: 1 2__ 3___ 4______ 5__ 6______ 7_______ 8_________ 9 10 11_____ 12___ 13___ 14 15

Chunks:

2017-06-14 20:24:24,677 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 64 from 64: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107356.xml
(ChunkerEvaluator) Sentence #910 from 00107356 from sent1

Text  : 2010-06-21 : El . LE : Ruch Chorzów i Wisła Kraków poznały rywali
Tokens: 1_________ 2 3_ 4 5_ 6 7___ 8______ 9 10___ 11____ 12_____ 13____

Chunks:
  TruePositive nam [7,8] = Ruch Chorzów (confidence=0.92)
  TruePositive nam [10,11] = Wisła Kraków (confidence=1.00)
  FalsePositive nam [3,5] = El . LE (confidence=1.00) (incorrect boundry)
  FalseNegative nam [5,5] = LE

(ChunkerEvaluator) Sentence #911 from 00107356 from sent2

Text  : Szachtior Karaganda z Kazachstanu będzie rywalem Ruchu Chorzów w pierwszej rundzie eliminacyjnej Ligi Europy ._
Tokens: 1________ 2________ 3 4__________ 5_____ 6______ 7____ 8______ 9 10_______ 11_____ 12___________ 13__ 14____ 15

Chunks:
  TruePositive nam [1,2] = Szachtior Karaganda (confidence=0.93)
  TruePositive nam [4,4] = Kazachstanu (confidence=1.00)
  TruePositive nam [7,8] = Ruchu Chorzów (confidence=1.00)
  TruePositive nam [13,14] = Ligi Europy (confidence=1.00)

(ChunkerEvaluator) Sentence #912 from 00107356 from sent3

Text  : Zwycięzca tego dwumeczu w drugiej rundzie zmierzy się z maltańskim Valletta FC ._
Tokens: 1________ 2___ 3_______ 4 5______ 6______ 7______ 8__ 9 10________ 11______ 12 13

Chunks:
  TruePositive nam [11,12] = Valletta FC (confidence=1.00)

(ChunkerEvaluator) Sentence #913 from 00107356 from sent4

Text  : Z kolei rywalem Wisły Kraków w drugiej rundzie eliminacyjnej będzie litewski klub FK Szawle ._
Tokens: 1 2____ 3______ 4____ 5_____ 6 7______ 8______ 9____________ 10____ 11______ 12__ 13 14____ 15

Chunks:
  TruePositive nam [4,5] = Wisły Kraków (confidence=1.00)
  TruePositive nam [13,14] = FK Szawle (confidence=1.00)

(ChunkerEvaluator) Sentence #914 from 00107356 from sent5

Text  : Pierwsze spotkanie Ruchu z Szachtiorem odbędzie się 1 lipca w_ Kazachstanie ._
Tokens: 1_______ 2________ 3____ 4 5__________ 6_______ 7__ 8 9____ 10 11__________ 12

Chunks:
  TruePositive nam [3,3] = Ruchu (confidence=0.93)
  TruePositive nam [5,5] = Szachtiorem (confidence=0.99)
  TruePositive nam [11,11] = Kazachstanie (confidence=1.00)

(ChunkerEvaluator) Sentence #915 from 00107356 from sent6

Text  : Rewanż tydzień później w Chorzowie .
Tokens: 1_____ 2______ 3______ 4 5________ 6

Chunks:
  TruePositive nam [5,5] = Chorzowie (confidence=1.00)

(ChunkerEvaluator) Sentence #916 from 00107356 from sent7

Text  : W minionym sezonie Szachtior zajął trzecie miejsce w kazachskiej ekstraklasie ,_ zdobywając 57 punktów w_ 26 spotkaniach ._
Tokens: 1 2_______ 3______ 4________ 5____ 6______ 7______ 8 9__________ 10__________ 11 12________ 13 14_____ 15 16 17_________ 18

Chunks:
  TruePositive nam [4,4] = Szachtior (confidence=1.00)

(ChunkerEvaluator) Sentence #917 from 00107356 from sent8

Text  : W obecnych rozgrywkach jest czwarty - 27 punktów w 16 meczach ._
Tokens: 1 2_______ 3__________ 4___ 5______ 6 7_ 8______ 9 10 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #918 from 00107356 from sent9

Text  : Z kolei " Biała Gwiazda " pierwsze spotkanie rozegra na wyjeździe 15 lipca ._
Tokens: 1 2____ 3 4____ 5______ 6 7_______ 8________ 9______ 10 11_______ 12 13___ 14

Chunks:
  TruePositive nam [4,5] = Biała Gwiazda (confidence=1.00)

(ChunkerEvaluator) Sentence #919 from 00107356 from sent10

Text  : Rewanż tydzień później , najprawdopodobniej na stadionie im . Henryka Reymana ._
Tokens: 1_____ 2______ 3______ 4 5_________________ 6_ 7________ 8_ 9 10_____ 11_____ 12

Chunks:
  FalsePositive nam [10,11] = Henryka Reymana (confidence=0.94) (incorrect boundry)
  FalseNegative nam [7,11] = stadionie im . Henryka Reymana

(ChunkerEvaluator) Sentence #920 from 00107356 from sent11

Text  : FK Szawle powstało w 1995 roku .
Tokens: 1_ 2_____ 3_______ 4 5___ 6___ 7

Chunks:
  TruePositive nam [1,2] = FK Szawle (confidence=0.99)

(ChunkerEvaluator) Sentence #921 from 00107356 from sent12

Text  : Największymi sukcesami klubu są Puchar Litwy ( 1996 , 1999 )_ oraz Superpuchar (_ 1996 ._ )_ ._
Tokens: 1___________ 2________ 3____ 4_ 5_____ 6____ 7 8___ 9 10__ 11 12__ 13_________ 14 15__ 16 17 18

Chunks:
  TruePositive nam [5,6] = Puchar Litwy (confidence=1.00)
  TruePositive nam [13,13] = Superpuchar (confidence=0.97)

(ChunkerEvaluator) Sentence #922 from 00107356 from sent13

Text  : W minionym sezonie zespół ten zajął czwarte miejsce w tabeli ._
Tokens: 1 2_______ 3______ 4_____ 5__ 6____ 7______ 8______ 9 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #923 from 00107356 from sent14

Text  : W obecnie trwającym ( na Litwie gra się systemem wiosna -_ jesień )_ FK Szawle jest siódme z_ dorobkiem siedemnastu punktów zdobytych w_ trzynastu spotkaniach ._
Tokens: 1 2______ 3________ 4 5_ 6_____ 7__ 8__ 9_______ 10____ 11 12____ 13 14 15____ 16__ 17____ 18 19_______ 20_________ 21_____ 22_______ 23 24_______ 25_________ 26

Chunks:
  TruePositive nam [6,6] = Litwie (confidence=1.00)
  TruePositive nam [14,15] = FK Szawle (confidence=1.00)

======================================================================================
# Exact match evaluation -- annotation span and types evaluation
======================================================================================
        Annotation                     &      TP &      FP &      FN & Precision & Recall  & F$_1$   \\
\hline
        nam                            &     866 &     184 &     205 &    82.48% &  80.86% &  81.66% \\
\hline
        *TOTAL*                        &     866 &     184 &     205 &    82.48% &  80.86% &  81.66% \\


======================================================================================
# Annotation span evaluation (annotation types are ignored)
======================================================================================
        Annotation                     &      TP &      FP &      FN & Precision & Recall  & F$_1$   \\
\hline
        *TOTAL*                        &     866 &     184 &     205 &    82.48% &  80.86% &  81.66% \\


======================================================================================
# MUC match evaluation
======================================================================================
        Annotation                     &     COR &     ACT &     POS & Precision & Recall  & F$_1$   \\
\hline
        nam                            &    1871 &     229 &     274 &    89.10% &  87.23% &  88.15% \\
\hline
        *TOTAL*                        &    1871 &     229 &     274 &    89.10% &  87.23% &  88.15% \\


====================================================
Processing time
====================================================
1) Model loading        : --h 03m 38s (218417425433ns) 
2) Data reading         : --h --m 00s (162185968ns) 
3) Feature generation   : --h --m 00s (808521288ns) 
4) Chunking             : --h --m 01s (1647954317ns) 
5) Evaluation           : --h --m 01s (1555324699ns) (not in total time)
----------------------------------------------------
## Total time             --h 03m 41s (221036087006ns)
----------------------------------------------------
Tokens           :    15831
Text kB          :       94.96
Tokens  / second :       71.62
Text kB / second :        0.43
----------------------------------------------------
***************************************** FOLD 8 *****************************************
2017-06-14 20:24:24,730 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100527.xml
2017-06-14 20:24:24,736 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 2 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100531.xml
2017-06-14 20:24:24,744 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 3 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101201.xml
2017-06-14 20:24:24,747 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101234.xml
2017-06-14 20:24:24,772 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101263.xml
2017-06-14 20:24:24,798 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101276.xml
2017-06-14 20:24:24,801 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 7 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101294.xml
2017-06-14 20:24:24,818 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 8 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101306.xml
2017-06-14 20:24:24,839 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 9 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101317.xml
2017-06-14 20:24:24,841 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 10 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101350.xml
2017-06-14 20:24:24,848 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 11 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101392.xml
2017-06-14 20:24:24,871 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 12 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101395.xml
2017-06-14 20:24:24,882 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 13 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101398.xml
2017-06-14 20:24:24,885 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 14 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101399.xml
2017-06-14 20:24:24,891 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 15 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101414.xml
2017-06-14 20:24:24,898 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 16 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101434.xml
2017-06-14 20:24:24,909 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 17 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101457.xml
2017-06-14 20:24:24,914 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 18 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101467.xml
2017-06-14 20:24:24,916 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 19 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101480.xml
2017-06-14 20:24:24,920 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 20 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101496.xml
2017-06-14 20:24:24,933 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 21 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101498.xml
2017-06-14 20:24:24,935 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 22 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101514.xml
2017-06-14 20:24:24,963 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 23 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101560.xml
2017-06-14 20:24:24,987 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 24 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101597.xml
2017-06-14 20:24:25,008 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 25 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101607.xml
2017-06-14 20:24:25,033 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 26 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101612.xml
2017-06-14 20:24:25,062 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 27 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101615.xml
2017-06-14 20:24:25,092 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 28 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101741.xml
2017-06-14 20:24:25,118 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 29 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101770.xml
2017-06-14 20:24:25,143 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 30 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101852.xml
2017-06-14 20:24:25,155 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 31 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101868.xml
2017-06-14 20:24:25,157 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 32 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101949.xml
2017-06-14 20:24:25,171 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 33 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102054.xml
2017-06-14 20:24:25,181 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 34 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102109.xml
2017-06-14 20:24:25,190 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 35 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102141.xml
2017-06-14 20:24:25,217 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 36 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102166.xml
2017-06-14 20:24:25,229 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 37 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102354.xml
2017-06-14 20:24:25,253 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 38 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102438.xml
2017-06-14 20:24:25,256 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 39 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102509.xml
2017-06-14 20:24:25,261 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 40 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102512.xml
2017-06-14 20:24:25,271 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 41 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102602.xml
2017-06-14 20:24:25,292 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 42 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102677.xml
2017-06-14 20:24:25,305 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 43 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102685.xml
2017-06-14 20:24:25,308 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 44 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102689.xml
2017-06-14 20:24:25,325 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 45 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102702.xml
2017-06-14 20:24:25,336 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 46 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102707.xml
2017-06-14 20:24:25,357 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 47 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102715.xml
2017-06-14 20:24:25,362 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 48 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103567.xml
2017-06-14 20:24:25,393 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 49 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103570.xml
2017-06-14 20:24:25,433 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 50 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103581.xml
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2017-06-14 20:24:30,393 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 379 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102053.xml
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2017-06-14 20:24:30,455 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 384 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102124.xml
2017-06-14 20:24:30,463 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 385 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102134.xml
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2017-06-14 20:24:30,576 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 391 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102690.xml
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2017-06-14 20:24:30,725 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 397 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103672.xml
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2017-06-14 20:24:30,760 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 400 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103891.xml
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2017-06-14 20:24:31,002 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 415 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101212.xml
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2017-06-14 20:24:31,871 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 475 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100641.xml
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2017-06-14 20:24:31,955 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 484 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101361.xml
2017-06-14 20:24:31,965 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 485 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101363.xml
2017-06-14 20:24:31,974 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 486 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101404.xml
2017-06-14 20:24:31,990 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 487 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101415.xml
2017-06-14 20:24:32,010 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 488 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101419.xml
2017-06-14 20:24:32,034 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 489 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101439.xml
2017-06-14 20:24:32,056 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 490 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101454.xml
2017-06-14 20:24:32,066 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 491 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101465.xml
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2017-06-14 20:24:32,103 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 493 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101542.xml
2017-06-14 20:24:32,117 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 494 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101583.xml
2017-06-14 20:24:32,143 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 495 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101592.xml
2017-06-14 20:24:32,180 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 496 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101661.xml
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2017-06-14 20:24:32,333 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 504 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101948.xml
2017-06-14 20:24:32,353 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 505 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101951.xml
2017-06-14 20:24:32,371 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 506 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102018.xml
2017-06-14 20:24:32,390 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 507 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102024.xml
2017-06-14 20:24:32,411 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 508 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102064.xml
2017-06-14 20:24:32,431 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 509 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102066.xml
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2017-06-14 20:24:32,562 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 517 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102500.xml
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2017-06-14 20:24:32,598 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 520 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102696.xml
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2017-06-14 20:24:32,947 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 541 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100521.xml
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2017-06-14 20:24:33,158 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 558 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101405.xml
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2017-06-14 20:24:33,210 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 563 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101520.xml
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2017-06-14 20:24:33,362 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 571 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101766.xml
2017-06-14 20:24:33,387 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 572 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101816.xml
2017-06-14 20:24:33,409 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 573 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101841.xml
2017-06-14 20:24:33,417 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 574 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101848.xml
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2017-06-14 20:24:33,434 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 576 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101877.xml
2017-06-14 20:24:33,451 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 577 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101936.xml
2017-06-14 20:24:33,470 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 578 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101961.xml
2017-06-14 20:24:33,489 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 579 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102017.xml
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2017-06-14 20:24:33,532 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 581 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102036.xml
2017-06-14 20:24:33,549 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 582 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102044.xml
2017-06-14 20:24:33,564 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 583 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102087.xml
2017-06-14 20:24:33,569 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 584 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102152.xml
2017-06-14 20:24:33,574 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 585 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102224.xml
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2017-06-14 20:24:33,641 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 588 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102360.xml
2017-06-14 20:24:33,660 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 589 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102412.xml
2017-06-14 20:24:33,668 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 590 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102449.xml
2017-06-14 20:24:33,678 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 591 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102485.xml
2017-06-14 20:24:33,680 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 592 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102693.xml
2017-06-14 20:24:33,699 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 593 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102710.xml
2017-06-14 20:24:33,704 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 594 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102711.xml
2017-06-14 20:24:33,710 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 595 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103580.xml
2017-06-14 20:24:33,750 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 596 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103670.xml
2017-06-14 20:24:33,768 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 597 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103700.xml
2017-06-14 20:24:33,781 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 598 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103704.xml
2017-06-14 20:24:33,801 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 599 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103742.xml
2017-06-14 20:24:33,807 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 600 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103749.xml
2017-06-14 20:24:33,810 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 601 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103871.xml
2017-06-14 20:24:33,843 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 602 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103876.xml
2017-06-14 20:24:33,869 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 603 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103925.xml
2017-06-14 20:24:33,891 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 604 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107241.xml
2017-06-14 20:24:33,895 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 605 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107272.xml
2017-06-14 20:24:33,910 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 606 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107297.xml
2017-06-14 20:24:33,929 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 607 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107312.xml
2017-06-14 20:24:33,938 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 608 from 608: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107362.xml
2017-06-14 20:24:33,942 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100523.xml
2017-06-14 20:24:33,960 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 2 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100623.xml
2017-06-14 20:24:33,970 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 3 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100624.xml
2017-06-14 20:24:33,995 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101203.xml
2017-06-14 20:24:34,005 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101207.xml
2017-06-14 20:24:34,010 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101214.xml
2017-06-14 20:24:34,028 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 7 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101261.xml
2017-06-14 20:24:34,040 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 8 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101285.xml
2017-06-14 20:24:34,068 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 9 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101293.xml
2017-06-14 20:24:34,070 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 10 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101334.xml
2017-06-14 20:24:34,078 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 11 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101344.xml
2017-06-14 20:24:34,097 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 12 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101374.xml
2017-06-14 20:24:34,105 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 13 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101388.xml
2017-06-14 20:24:34,107 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 14 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101464.xml
2017-06-14 20:24:34,119 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 15 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101469.xml
2017-06-14 20:24:34,139 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 16 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101470.xml
2017-06-14 20:24:34,141 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 17 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101474.xml
2017-06-14 20:24:34,142 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 18 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101481.xml
2017-06-14 20:24:34,145 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 19 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101507.xml
2017-06-14 20:24:34,158 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 20 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101531.xml
2017-06-14 20:24:34,187 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 21 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101535.xml
2017-06-14 20:24:34,233 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 22 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101564.xml
2017-06-14 20:24:34,261 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 23 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101582.xml
2017-06-14 20:24:34,284 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 24 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101595.xml
2017-06-14 20:24:34,322 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 25 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101596.xml
2017-06-14 20:24:34,345 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 26 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101642.xml
2017-06-14 20:24:34,373 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 27 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101745.xml
2017-06-14 20:24:34,386 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 28 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101747.xml
2017-06-14 20:24:34,402 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 29 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101748.xml
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2017-06-14 20:24:34,483 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 33 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101788.xml
2017-06-14 20:24:34,505 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 34 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101871.xml
2017-06-14 20:24:34,513 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 35 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101883.xml
2017-06-14 20:24:34,527 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 36 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101886.xml
2017-06-14 20:24:34,549 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 37 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101934.xml
2017-06-14 20:24:34,569 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 38 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102023.xml
2017-06-14 20:24:34,587 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 39 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102026.xml
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2017-06-14 20:24:34,673 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 45 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102262.xml
2017-06-14 20:24:34,701 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 46 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102270.xml
2017-06-14 20:24:34,717 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 47 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102274.xml
2017-06-14 20:24:34,743 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 48 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102314.xml
2017-06-14 20:24:34,758 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 49 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102377.xml
2017-06-14 20:24:34,775 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 50 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102393.xml
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2017-06-14 20:24:34,808 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 53 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102498.xml
2017-06-14 20:24:34,822 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 54 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102499.xml
2017-06-14 20:24:34,828 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 55 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102608.xml
2017-06-14 20:24:34,850 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 56 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102668.xml
2017-06-14 20:24:34,862 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 57 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102679.xml
2017-06-14 20:24:34,872 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 58 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102712.xml
2017-06-14 20:24:34,878 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 59 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102717.xml
2017-06-14 20:24:34,928 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 60 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103634.xml
2017-06-14 20:24:34,963 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 61 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103678.xml
2017-06-14 20:24:34,981 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 62 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103713.xml
2017-06-14 20:24:35,006 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 63 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103874.xml
2017-06-14 20:24:35,029 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 64 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103898.xml
2017-06-14 20:24:35,056 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 65 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103914.xml
2017-06-14 20:24:35,079 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 66 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103924.xml
2017-06-14 20:24:35,120 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 67 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103927.xml
2017-06-14 20:24:35,153 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 68 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103935.xml
2017-06-14 20:24:35,174 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 69 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107240.xml
2017-06-14 20:24:35,178 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 70 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107263.xml
2017-06-14 20:24:35,184 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 71 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107282.xml
2017-06-14 20:24:35,196 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 72 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107319.xml
-> Setting up chunker: chunker_c1
(TokenFeatureGenerator) Loading features...
[orth, base, ctag, synonym, hypernym-1, hypernym-2, hypernym-3, top4hyper-1, top4hyper-2, top4hyper-3, class, case, number, gender, pattern, prefix-1, prefix-2, prefix-3, prefix-4, suffix-1, suffix-2, suffix-3, suffix-4, all_alphanumeric, all_digits, all_letters, all_upper, has_upper_case, has_lower_case, has_symbol, has_digit, starts_with_upper_case, starts_with_lower_case, starts_with_symbol, starts_with_digit, is_number, no_alphanumeric, no_letters, struct, length, dict_person_first_nam, dict_person_last_nam, dict_country_nam, dict_city_nam, dict_road_nam, dict_person_prefix, dict_person_noun, dict_person_suffix, dict_road_prefix, dict_country_prefix, dict_trigger_int_bloc, dict_trigger_ext_bloc, dict_trigger_int_country, dict_trigger_ext_country, dict_trigger_int_district, dict_trigger_ext_district, dict_trigger_int_geogName, dict_trigger_ext_geogName, dict_trigger_int_orgName, dict_trigger_ext_orgName, dict_trigger_int_persName, dict_trigger_ext_persName, dict_trigger_int_region, dict_trigger_ext_region, dict_trigger_int_settlement, dict_trigger_ext_settlement, agr1, parenthesis, quotation, nospace]
--> CRFPP Chunker train
--> Training on file={CV_TRAIN}
(TemplateFactory) parsing template: /home/czuk/nlp/eclipse/workspace_liner2/liner2_master/../models-workdir/liner2.5/liner25_model_ner_kpwr12/ini/template-jrip.txt
(TemplateFactory) Adding feature:orth:-2:-1:0:1:2
(TemplateFactory) feature:orth:-2:-1:0:1:2
(TemplateFactory) Adding feature:base:-2:-1:0:1:2
(TemplateFactory) feature:base:-2:-1:0:1:2
(TemplateFactory) Adding feature:synonym:-2:-1:0:1:2
(TemplateFactory) feature:synonym:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-1:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-2:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-2:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-3:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:class:-1:0:1
(TemplateFactory) feature:class:-1:0:1
(TemplateFactory) Adding feature:case:0
(TemplateFactory) feature:case:0
(TemplateFactory) Adding feature:gender:-2:-1:0:1:2
(TemplateFactory) feature:gender:-2:-1:0:1:2
(TemplateFactory) Adding feature:pattern:0
(TemplateFactory) feature:pattern:0
(TemplateFactory) Adding feature:prefix-1:-2:-1:0:1:2
(TemplateFactory) feature:prefix-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:prefix-3:-2:-1:0:1:2
(TemplateFactory) feature:prefix-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:prefix-4:-2:-1:0:1:2
(TemplateFactory) feature:prefix-4:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-1:-2:-1:0:1:2
(TemplateFactory) feature:suffix-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-2:-2:-1:0:1:2
(TemplateFactory) feature:suffix-2:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-3:-2:-1:0:1:2
(TemplateFactory) feature:suffix-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-4:-2:-1:0:1:2
(TemplateFactory) feature:suffix-4:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_upper_case:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_upper_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_lower_case:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_lower_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_symbol:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_symbol:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_digit:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_digit:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_upper_case:-2:-1:0:1:2
(TemplateFactory) feature:has_upper_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_lower_case:-2:-1:0:1:2
(TemplateFactory) feature:has_lower_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_symbol:-2:-1:0:1:2
(TemplateFactory) feature:has_symbol:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_digit:-2:-1:0:1:2
(TemplateFactory) feature:has_digit:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_first_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_first_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_last_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_last_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_country_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_country_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_city_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_city_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_road_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_road_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_noun:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_noun:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_suffix:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_suffix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_road_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_road_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_country_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_country_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:base:-4/dict_person_first_nam:-3/dict_person_last_nam:-2/base:-1/dict_person_last_nam:0
(TemplateFactory) feature:base:-4/dict_person_first_nam:-3/dict_person_last_nam:-2/base:-1/dict_person_last_nam:0
(TemplateFactory) Adding feature:dict_trigger_int_bloc:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_bloc:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_bloc:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_bloc:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_country:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_country:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_country:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_country:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_district:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_district:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_district:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_district:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_geogName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_geogName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_geogName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_geogName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_orgName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_orgName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_orgName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_orgName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_persName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_persName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_persName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_persName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_region:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_region:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_region:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_region:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_settlement:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_settlement:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_settlement:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_settlement:-2:-1:0:1:2
(TemplateFactory) Adding feature:agr1:-2:-1:0:1:2
(TemplateFactory) feature:agr1:-2:-1:0:1:2
(TemplateFactory) Adding feature:nospace:-2:-1:0:1:2
(TemplateFactory) feature:nospace:-2:-1:0:1:2
(TemplateFactory) Adding feature:parenthesis:-2:-1:0:1:2
(TemplateFactory) feature:parenthesis:-2:-1:0:1:2
(TemplateFactory) Adding feature:quotation:-2:-1:0:1:2
(TemplateFactory) feature:quotation:-2:-1:0:1:2
(TemplateFactory) Adding feature:length:-2:-1:0:1:2
(TemplateFactory) feature:length:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_upper_case:0/agr1:-1/pattern:2/has_upper_case:-1/case:0/number:-1
(TemplateFactory) feature:has_upper_case:0/agr1:-1/pattern:2/has_upper_case:-1/case:0/number:-1
(TemplateFactory) Adding feature:has_upper_case:0/all_digits:-1/all_upper:-2/length:1/nospace:1
(TemplateFactory) feature:has_upper_case:0/all_digits:-1/all_upper:-2/length:1/nospace:1
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/ctag:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/ctag:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/has_upper_case:1
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/has_upper_case:1
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/agr1:1/pattern:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/agr1:1/pattern:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/class:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/class:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/starts_with_digit:-2/starts_with_lower_case:1/case:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/starts_with_digit:-2/starts_with_lower_case:1/case:0
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/has_upper_case:1
(TemplateFactory) feature:has_upper_case:0/ctag:0/has_upper_case:1
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/parenthesis:0/class:2/agr1:2
(TemplateFactory) feature:has_upper_case:0/ctag:0/parenthesis:0/class:2/agr1:2
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/suffix-1:0
(TemplateFactory) feature:has_upper_case:0/ctag:0/suffix-1:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/all_upper:-2/all_alphanumeric:2/starts_with_lower_case:2/all_alphanumeric:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/all_upper:-2/all_alphanumeric:2/starts_with_lower_case:2/all_alphanumeric:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_digit:-2/has_lower_case:0/nospace:-1/nospace:-2/ctag:-1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_digit:-2/has_lower_case:0/nospace:-1/nospace:-2/ctag:-1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-1/all_alphanumeric:2/class:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-1/all_alphanumeric:2/class:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/all_letters:-1/ctag:0/all_alphanumeric:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/all_letters:-1/ctag:0/all_alphanumeric:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/length:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/length:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/starts_with_lower_case:1/orth:-1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/starts_with_lower_case:1/orth:-1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/pattern:-1/class:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/pattern:-1/class:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/pattern:1/parenthesis:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/pattern:1/parenthesis:0
(TemplateFactory) Adding feature:has_upper_case:0/starts_with_lower_case:1/case:0/orth:2
(TemplateFactory) feature:has_upper_case:0/starts_with_lower_case:1/case:0/orth:2
(TemplateFactory) Adding feature:has_upper_case:0/starts_with_lower_case:1/case:0/pattern:1/agr1:1/gender:0
(TemplateFactory) feature:has_upper_case:0/starts_with_lower_case:1/case:0/pattern:1/agr1:1/gender:0
(TemplateFactory) Adding feature:has_upper_case:-1/has_upper_case:0/nospace:-2/pattern:0
(TemplateFactory) feature:has_upper_case:-1/has_upper_case:0/nospace:-2/pattern:0
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/all_letters:1/orth:0/starts_with_lower_case:-2
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/all_letters:1/orth:0/starts_with_lower_case:-2
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/orth:0/nospace:-1
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/orth:0/nospace:-1
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/parenthesis:-2/class:-2/orth:-1
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/parenthesis:-2/class:-2/orth:-1
(TemplateFactory) Adding feature:has_upper_case:-2/has_upper_case:0/orth:-1/nospace:-2
(TemplateFactory) feature:has_upper_case:-2/has_upper_case:0/orth:-1/nospace:-2
(TemplateFactory) Adding feature:has_upper_case:-2/starts_with_upper_case:0/orth:-1
(TemplateFactory) feature:has_upper_case:-2/starts_with_upper_case:0/orth:-1
(TemplateFactory) Adding feature:starts_with_lower_case:-1/has_upper_case:0/case:-1/case:2
(TemplateFactory) feature:starts_with_lower_case:-1/has_upper_case:0/case:-1/case:2
(TemplateFactory) Adding feature:starts_with_lower_case:-1/has_upper_case:0/pattern:-1/ctag:-1/pattern:0
(TemplateFactory) feature:starts_with_lower_case:-1/has_upper_case:0/pattern:-1/ctag:-1/pattern:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_lower_case:-1/all_letters:-1/parenthesis:-2/pattern:1/length:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_lower_case:-1/all_letters:-1/parenthesis:-2/pattern:1/length:0
(TemplateFactory) Adding feature:starts_with_lower_case:-1/starts_with_upper_case:0/class:-1/agr1:0/gender:-1
(TemplateFactory) feature:starts_with_lower_case:-1/starts_with_upper_case:0/class:-1/agr1:0/gender:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/class:-2/no_letters:0/length:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/class:-2/no_letters:0/length:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/agr1:-2/ctag:-2
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/agr1:-2/ctag:-2
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/case:-1/ctag:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/case:-1/ctag:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/ctag:-2/struct:-2
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/ctag:-2/struct:-2
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/quotation:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/quotation:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/pattern:0/length:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/pattern:0/length:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/starts_with_upper_case:0/length:-1/ctag:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/starts_with_upper_case:0/length:-1/ctag:-1
(TemplateFactory) Adding feature:starts_with_upper_case:0/agr1:-1/gender:0/number:0
(TemplateFactory) feature:starts_with_upper_case:0/agr1:-1/gender:0/number:0
(TemplateFactory) Adding feature:starts_with_upper_case:0/agr1:-1/orth:-1/class:-2
(TemplateFactory) feature:starts_with_upper_case:0/agr1:-1/orth:-1/class:-2
(TemplateFactory) Adding feature:starts_with_upper_case:0/class:0/gender:0/prefix-1:0/all_alphanumeric:1
(TemplateFactory) feature:starts_with_upper_case:0/class:0/gender:0/prefix-1:0/all_alphanumeric:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/class:0/starts_with_lower_case:1/struct:2/agr1:1
(TemplateFactory) feature:starts_with_upper_case:0/class:0/starts_with_lower_case:1/struct:2/agr1:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/ctag:0/parenthesis:0/class:1
(TemplateFactory) feature:starts_with_upper_case:0/ctag:0/parenthesis:0/class:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/dict_person_first_nam:-1/class:0/parenthesis:2/ctag:0
(TemplateFactory) feature:starts_with_upper_case:0/dict_person_first_nam:-1/class:0/parenthesis:2/ctag:0
(TemplateFactory) Adding feature:starts_with_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/has_digit:-2/gender:1
(TemplateFactory) feature:starts_with_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/has_digit:-2/gender:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/starts_with_lower_case:1/case:0/suffix-2:1
(TemplateFactory) feature:starts_with_upper_case:0/starts_with_lower_case:1/case:0/suffix-2:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/starts_with_lower_case:1/pattern:1/length:2/nospace:1/case:0/ctag:2
(TemplateFactory) feature:starts_with_upper_case:0/starts_with_lower_case:1/pattern:1/length:2/nospace:1/case:0/ctag:2
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_lower_case:1/all_digits:-2/has_upper_case:1/orth:0
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_lower_case:1/all_digits:-2/has_upper_case:1/orth:0
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_lower_case:1/starts_with_upper_case:0/nospace:2/gender:-1
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_lower_case:1/starts_with_upper_case:0/nospace:2/gender:-1
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/agr1:1/has_lower_case:2
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/agr1:1/has_lower_case:2
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/nospace:0
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/nospace:0
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/pattern:2/suffix-1:-1
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/pattern:2/suffix-1:-1
Loading training data for CRF from document:00100527
STORE TRAINING DATA IN: /tmp/crf_iob2365325884944341615.txt
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Training CRF classifer using features:
orth[-2]
orth[-1]
orth[0]
orth[1]
orth[2]
base[-2]
base[-1]
base[0]
base[1]
base[2]
synonym[-2]
synonym[-1]
synonym[0]
synonym[1]
synonym[2]
hypernym-1[-2]
hypernym-1[-1]
hypernym-1[0]
hypernym-1[1]
hypernym-1[2]
hypernym-2[-2]
hypernym-2[-1]
hypernym-2[0]
hypernym-2[1]
hypernym-2[2]
hypernym-3[-2]
hypernym-3[-1]
hypernym-3[0]
hypernym-3[1]
hypernym-3[2]
class[-1]
class[0]
class[1]
case[0]
gender[-2]
gender[-1]
gender[0]
gender[1]
gender[2]
pattern[0]
prefix-1[-2]
prefix-1[-1]
prefix-1[0]
prefix-1[1]
prefix-1[2]
prefix-3[-2]
prefix-3[-1]
prefix-3[0]
prefix-3[1]
prefix-3[2]
prefix-4[-2]
prefix-4[-1]
prefix-4[0]
prefix-4[1]
prefix-4[2]
suffix-1[-2]
suffix-1[-1]
suffix-1[0]
suffix-1[1]
suffix-1[2]
suffix-2[-2]
suffix-2[-1]
suffix-2[0]
suffix-2[1]
suffix-2[2]
suffix-3[-2]
suffix-3[-1]
suffix-3[0]
suffix-3[1]
suffix-3[2]
suffix-4[-2]
suffix-4[-1]
suffix-4[0]
suffix-4[1]
suffix-4[2]
starts_with_upper_case[-2]
starts_with_upper_case[-1]
starts_with_upper_case[0]
starts_with_upper_case[1]
starts_with_upper_case[2]
starts_with_lower_case[-2]
starts_with_lower_case[-1]
starts_with_lower_case[0]
starts_with_lower_case[1]
starts_with_lower_case[2]
starts_with_symbol[-2]
starts_with_symbol[-1]
starts_with_symbol[0]
starts_with_symbol[1]
starts_with_symbol[2]
starts_with_digit[-2]
starts_with_digit[-1]
starts_with_digit[0]
starts_with_digit[1]
starts_with_digit[2]
has_upper_case[-2]
has_upper_case[-1]
has_upper_case[0]
has_upper_case[1]
has_upper_case[2]
has_lower_case[-2]
has_lower_case[-1]
has_lower_case[0]
has_lower_case[1]
has_lower_case[2]
has_symbol[-2]
has_symbol[-1]
has_symbol[0]
has_symbol[1]
has_symbol[2]
has_digit[-2]
has_digit[-1]
has_digit[0]
has_digit[1]
has_digit[2]
dict_person_first_nam[-2]
dict_person_first_nam[-1]
dict_person_first_nam[0]
dict_person_first_nam[1]
dict_person_first_nam[2]
dict_person_last_nam[-2]
dict_person_last_nam[-1]
dict_person_last_nam[0]
dict_person_last_nam[1]
dict_person_last_nam[2]
dict_country_nam[-2]
dict_country_nam[-1]
dict_country_nam[0]
dict_country_nam[1]
dict_country_nam[2]
dict_city_nam[-2]
dict_city_nam[-1]
dict_city_nam[0]
dict_city_nam[1]
dict_city_nam[2]
dict_road_nam[-2]
dict_road_nam[-1]
dict_road_nam[0]
dict_road_nam[1]
dict_road_nam[2]
dict_person_prefix[-2]
dict_person_prefix[-1]
dict_person_prefix[0]
dict_person_prefix[1]
dict_person_prefix[2]
dict_person_noun[-2]
dict_person_noun[-1]
dict_person_noun[0]
dict_person_noun[1]
dict_person_noun[2]
dict_person_suffix[-2]
dict_person_suffix[-1]
dict_person_suffix[0]
dict_person_suffix[1]
dict_person_suffix[2]
dict_road_prefix[-2]
dict_road_prefix[-1]
dict_road_prefix[0]
dict_road_prefix[1]
dict_road_prefix[2]
dict_country_prefix[-2]
dict_country_prefix[-1]
dict_country_prefix[0]
dict_country_prefix[1]
dict_country_prefix[2]
base[-4]_dict_person_first_nam[-3]_dict_person_last_nam[-2]_base[-1]_dict_person_last_nam[0]
dict_trigger_int_bloc[-2]
dict_trigger_int_bloc[-1]
dict_trigger_int_bloc[0]
dict_trigger_int_bloc[1]
dict_trigger_int_bloc[2]
dict_trigger_ext_bloc[-2]
dict_trigger_ext_bloc[-1]
dict_trigger_ext_bloc[0]
dict_trigger_ext_bloc[1]
dict_trigger_ext_bloc[2]
dict_trigger_int_country[-2]
dict_trigger_int_country[-1]
dict_trigger_int_country[0]
dict_trigger_int_country[1]
dict_trigger_int_country[2]
dict_trigger_ext_country[-2]
dict_trigger_ext_country[-1]
dict_trigger_ext_country[0]
dict_trigger_ext_country[1]
dict_trigger_ext_country[2]
dict_trigger_int_district[-2]
dict_trigger_int_district[-1]
dict_trigger_int_district[0]
dict_trigger_int_district[1]
dict_trigger_int_district[2]
dict_trigger_ext_district[-2]
dict_trigger_ext_district[-1]
dict_trigger_ext_district[0]
dict_trigger_ext_district[1]
dict_trigger_ext_district[2]
dict_trigger_int_geogName[-2]
dict_trigger_int_geogName[-1]
dict_trigger_int_geogName[0]
dict_trigger_int_geogName[1]
dict_trigger_int_geogName[2]
dict_trigger_ext_geogName[-2]
dict_trigger_ext_geogName[-1]
dict_trigger_ext_geogName[0]
dict_trigger_ext_geogName[1]
dict_trigger_ext_geogName[2]
dict_trigger_int_orgName[-2]
dict_trigger_int_orgName[-1]
dict_trigger_int_orgName[0]
dict_trigger_int_orgName[1]
dict_trigger_int_orgName[2]
dict_trigger_ext_orgName[-2]
dict_trigger_ext_orgName[-1]
dict_trigger_ext_orgName[0]
dict_trigger_ext_orgName[1]
dict_trigger_ext_orgName[2]
dict_trigger_int_persName[-2]
dict_trigger_int_persName[-1]
dict_trigger_int_persName[0]
dict_trigger_int_persName[1]
dict_trigger_int_persName[2]
dict_trigger_ext_persName[-2]
dict_trigger_ext_persName[-1]
dict_trigger_ext_persName[0]
dict_trigger_ext_persName[1]
dict_trigger_ext_persName[2]
dict_trigger_int_region[-2]
dict_trigger_int_region[-1]
dict_trigger_int_region[0]
dict_trigger_int_region[1]
dict_trigger_int_region[2]
dict_trigger_ext_region[-2]
dict_trigger_ext_region[-1]
dict_trigger_ext_region[0]
dict_trigger_ext_region[1]
dict_trigger_ext_region[2]
dict_trigger_int_settlement[-2]
dict_trigger_int_settlement[-1]
dict_trigger_int_settlement[0]
dict_trigger_int_settlement[1]
dict_trigger_int_settlement[2]
dict_trigger_ext_settlement[-2]
dict_trigger_ext_settlement[-1]
dict_trigger_ext_settlement[0]
dict_trigger_ext_settlement[1]
dict_trigger_ext_settlement[2]
agr1[-2]
agr1[-1]
agr1[0]
agr1[1]
agr1[2]
nospace[-2]
nospace[-1]
nospace[0]
nospace[1]
nospace[2]
parenthesis[-2]
parenthesis[-1]
parenthesis[0]
parenthesis[1]
parenthesis[2]
quotation[-2]
quotation[-1]
quotation[0]
quotation[1]
quotation[2]
length[-2]
length[-1]
length[0]
length[1]
length[2]
has_upper_case[0]_agr1[-1]_pattern[2]_has_upper_case[-1]_case[0]_number[-1]
has_upper_case[0]_all_digits[-1]_all_upper[-2]_length[1]_nospace[1]
has_upper_case[0]_all_upper[-1]_pattern[-1]_ctag[0]
has_upper_case[0]_all_upper[-1]_pattern[-1]_has_upper_case[1]
has_upper_case[0]_all_upper[-1]_pattern[-1]_pattern[-2]_agr1[1]_pattern[0]
has_upper_case[0]_all_upper[-1]_pattern[-1]_pattern[-2]_class[0]
has_upper_case[0]_all_upper[-1]_starts_with_digit[-2]_starts_with_lower_case[1]_case[0]
has_upper_case[0]_ctag[0]_has_upper_case[1]
has_upper_case[0]_ctag[0]_parenthesis[0]_class[2]_agr1[2]
has_upper_case[0]_ctag[0]_suffix-1[0]
has_upper_case[0]_dict_person_first_nam[-1]_all_upper[-2]_all_alphanumeric[2]_starts_with_lower_case[2]_all_alphanumeric[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_digit[-2]_has_lower_case[0]_nospace[-1]_nospace[-2]_ctag[-1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-1]_all_alphanumeric[2]_class[0]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[2]_all_letters[-1]_ctag[0]_all_alphanumeric[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-2]_length[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-2]_starts_with_lower_case[1]_orth[-1]
has_upper_case[0]_dict_person_first_nam[-1]_pattern[-1]_class[0]
has_upper_case[0]_dict_person_first_nam[-1]_pattern[1]_parenthesis[0]
has_upper_case[0]_starts_with_lower_case[1]_case[0]_orth[2]
has_upper_case[0]_starts_with_lower_case[1]_case[0]_pattern[1]_agr1[1]_gender[0]
has_upper_case[-1]_has_upper_case[0]_nospace[-2]_pattern[0]
has_upper_case[-1]_starts_with_lower_case[1]_all_letters[1]_orth[0]_starts_with_lower_case[-2]
has_upper_case[-1]_starts_with_lower_case[1]_orth[0]_nospace[-1]
has_upper_case[-1]_starts_with_lower_case[1]_parenthesis[-2]_class[-2]_orth[-1]
has_upper_case[-2]_has_upper_case[0]_orth[-1]_nospace[-2]
has_upper_case[-2]_starts_with_upper_case[0]_orth[-1]
starts_with_lower_case[-1]_has_upper_case[0]_case[-1]_case[2]
starts_with_lower_case[-1]_has_upper_case[0]_pattern[-1]_ctag[-1]_pattern[0]
starts_with_lower_case[1]_starts_with_lower_case[-1]_all_letters[-1]_parenthesis[-2]_pattern[1]_length[0]
starts_with_lower_case[-1]_starts_with_upper_case[0]_class[-1]_agr1[0]_gender[-1]
starts_with_lower_case[1]_starts_with_upper_case[-1]_class[-2]_no_letters[0]_length[0]
starts_with_lower_case[1]_starts_with_upper_case[-1]_parenthesis[-2]_agr1[-2]_ctag[-2]
starts_with_lower_case[1]_starts_with_upper_case[-1]_parenthesis[-2]_case[-1]_ctag[0]
starts_with_lower_case[1]_starts_with_upper_case[-2]_agr1[-2]_ctag[-2]_struct[-2]
starts_with_lower_case[1]_starts_with_upper_case[-2]_agr1[-2]_quotation[-1]
starts_with_lower_case[1]_starts_with_upper_case[-2]_pattern[0]_length[-1]
starts_with_lower_case[1]_starts_with_upper_case[-2]_starts_with_upper_case[0]_length[-1]_ctag[-1]
starts_with_upper_case[0]_agr1[-1]_gender[0]_number[0]
starts_with_upper_case[0]_agr1[-1]_orth[-1]_class[-2]
starts_with_upper_case[0]_class[0]_gender[0]_prefix-1[0]_all_alphanumeric[1]
starts_with_upper_case[0]_class[0]_starts_with_lower_case[1]_struct[2]_agr1[1]
starts_with_upper_case[0]_ctag[0]_parenthesis[0]_class[1]
starts_with_upper_case[0]_dict_person_first_nam[-1]_class[0]_parenthesis[2]_ctag[0]
starts_with_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[2]_has_digit[-2]_gender[1]
starts_with_upper_case[0]_starts_with_lower_case[1]_case[0]_suffix-2[1]
starts_with_upper_case[0]_starts_with_lower_case[1]_pattern[1]_length[2]_nospace[1]_case[0]_ctag[2]
starts_with_upper_case[-1]_starts_with_lower_case[1]_all_digits[-2]_has_upper_case[1]_orth[0]
starts_with_upper_case[-1]_starts_with_lower_case[1]_starts_with_upper_case[0]_nospace[2]_gender[-1]
starts_with_upper_case[-1]_starts_with_upper_case[0]_all_upper[-2]_agr1[1]_has_lower_case[2]
starts_with_upper_case[-1]_starts_with_upper_case[0]_all_upper[-2]_nospace[0]
starts_with_upper_case[-1]_starts_with_upper_case[0]_pattern[2]_suffix-1[-1]

CRF++: Yet Another CRF Tool Kit
Copyright (C) 2005-2012 Taku Kudo, All rights reserved.

reading training data: 100.. 200.. 300.. 400.. 500.. 600.. 700.. 800.. 900.. 1000.. 1100.. 1200.. 1300.. 1400.. 1500.. 1600.. 1700.. 1800.. 1900.. 2000.. 2100.. 2200.. 2300.. 2400.. 2500.. 2600.. 2700.. 2800.. 2900.. 3000.. 3100.. 3200.. 3300.. 3400.. 3500.. 3600.. 3700.. 3800.. 3900.. 4000.. 4100.. 4200.. 4300.. 4400.. 4500.. 4600.. 4700.. 4800.. 4900.. 5000.. 5100.. 5200.. 5300.. 5400.. 5500.. 5600.. 5700.. 5800.. 5900.. 6000.. 6100.. 6200.. 6300.. 6400.. 6500.. 6600.. 6700.. 6800.. 6900.. 7000.. 7100.. 7200.. 7300.. 7400.. 7500.. 7600.. 7700.. 7800.. 7900.. 8000.. 8100.. 8200.. 8300.. 8400.. 8500.. 8600.. 8700.. 8800.. 8900.. 9000.. 9100.. 9200.. 9300.. 9400.. 9500.. 
Done!36.64 s

Number of sentences: 9528
Number of features:  916302
Number of thread(s): 7
Freq:                5
eta:                 0.00010
C:                   1.00000
shrinking size:      20
iter=0 terr=0.94649 serr=0.99738 act=916302 obj=168769.91840 diff=1.00000
iter=1 terr=0.09346 serr=0.44847 act=916302 obj=206353.64265 diff=0.22269
iter=2 terr=0.09346 serr=0.44847 act=916302 obj=72737.71175 diff=0.64751
iter=3 terr=0.09346 serr=0.44847 act=916302 obj=65505.07345 diff=0.09943
iter=4 terr=0.86493 serr=0.96893 act=916302 obj=199552.57879 diff=2.04637
iter=5 terr=0.09346 serr=0.44847 act=916302 obj=54036.72466 diff=0.72921
iter=6 terr=0.09346 serr=0.44847 act=916302 obj=52998.17846 diff=0.01922
iter=7 terr=0.09346 serr=0.44847 act=916302 obj=50734.90071 diff=0.04270
iter=8 terr=0.09346 serr=0.44847 act=916302 obj=48153.58209 diff=0.05088
iter=9 terr=0.08128 serr=0.41898 act=916302 obj=38988.14048 diff=0.19034
iter=10 terr=0.05705 serr=0.37164 act=916302 obj=31005.76537 diff=0.20474
iter=11 terr=0.04254 serr=0.31539 act=916302 obj=25520.71522 diff=0.17690
iter=12 terr=0.03959 serr=0.27739 act=916302 obj=22200.06443 diff=0.13012
iter=13 terr=0.03850 serr=0.27298 act=916302 obj=21303.29959 diff=0.04039
iter=14 terr=0.03820 serr=0.26795 act=916302 obj=20449.73368 diff=0.04007
iter=15 terr=0.03787 serr=0.26333 act=916302 obj=19660.18885 diff=0.03861
iter=16 terr=0.03713 serr=0.25273 act=916302 obj=18919.72341 diff=0.03766
iter=17 terr=0.03688 serr=0.25147 act=916302 obj=18205.81922 diff=0.03773
iter=18 terr=0.03647 serr=0.24685 act=916302 obj=17786.05688 diff=0.02306
iter=19 terr=0.03574 serr=0.24034 act=916302 obj=17234.64071 diff=0.03100
iter=20 terr=0.03515 serr=0.23331 act=916302 obj=16699.24276 diff=0.03107
iter=21 terr=0.03504 serr=0.23520 act=916302 obj=16260.84759 diff=0.02625
iter=22 terr=0.03453 serr=0.23037 act=916302 obj=15535.07833 diff=0.04463
iter=23 terr=0.03394 serr=0.23478 act=916302 obj=14801.74605 diff=0.04720
iter=24 terr=0.03366 serr=0.23195 act=916302 obj=14046.22734 diff=0.05104
iter=25 terr=0.03221 serr=0.22974 act=916302 obj=13368.72925 diff=0.04823
iter=26 terr=0.03192 serr=0.23394 act=916302 obj=12934.86245 diff=0.03245
iter=27 terr=0.03146 serr=0.23111 act=916302 obj=12578.52856 diff=0.02755
iter=28 terr=0.03073 serr=0.22250 act=916302 obj=11960.16218 diff=0.04916
iter=29 terr=0.02948 serr=0.21201 act=916302 obj=11842.68539 diff=0.00982
iter=30 terr=0.02942 serr=0.20833 act=916302 obj=11286.09553 diff=0.04700
iter=31 terr=0.02841 serr=0.20455 act=916302 obj=10369.87514 diff=0.08118
iter=32 terr=0.02971 serr=0.20560 act=916302 obj=10220.32954 diff=0.01442
iter=33 terr=0.02839 serr=0.20445 act=916302 obj=10069.83304 diff=0.01473
iter=34 terr=0.02776 serr=0.20330 act=916302 obj=9877.59866 diff=0.01909
iter=35 terr=0.02713 serr=0.20015 act=916302 obj=9676.06226 diff=0.02040
iter=36 terr=0.02627 serr=0.19343 act=916302 obj=9228.39045 diff=0.04627
iter=37 terr=0.02563 serr=0.19217 act=916302 obj=9042.48830 diff=0.02014
iter=38 terr=0.02532 serr=0.19081 act=916302 obj=8979.00807 diff=0.00702
iter=39 terr=0.02497 serr=0.18934 act=916302 obj=8749.79342 diff=0.02553
iter=40 terr=0.02520 serr=0.18850 act=916302 obj=8498.88739 diff=0.02868
iter=41 terr=0.02811 serr=0.18776 act=916302 obj=8825.27667 diff=0.03840
iter=42 terr=0.02516 serr=0.18251 act=916302 obj=8351.51038 diff=0.05368
iter=43 terr=0.02492 serr=0.17979 act=916302 obj=8131.80295 diff=0.02631
iter=44 terr=0.02421 serr=0.17769 act=916302 obj=7881.83474 diff=0.03074
iter=45 terr=0.02285 serr=0.17013 act=916302 obj=7656.61490 diff=0.02857
iter=46 terr=0.02209 serr=0.16383 act=916302 obj=7396.31097 diff=0.03400
iter=47 terr=0.02084 serr=0.15470 act=916302 obj=6958.04279 diff=0.05925
iter=48 terr=0.02055 serr=0.15260 act=916302 obj=6828.35378 diff=0.01864
iter=49 terr=0.02032 serr=0.15187 act=916302 obj=6748.50342 diff=0.01169
iter=50 terr=0.01978 serr=0.15061 act=916302 obj=6687.44033 diff=0.00905
iter=51 terr=0.01922 serr=0.14914 act=916302 obj=6526.52625 diff=0.02406
iter=52 terr=0.01908 serr=0.14599 act=916302 obj=6387.99234 diff=0.02123
iter=53 terr=0.01886 serr=0.14715 act=916302 obj=6295.77861 diff=0.01444
iter=54 terr=0.01866 serr=0.14421 act=916302 obj=6238.27246 diff=0.00913
iter=55 terr=0.01855 serr=0.14263 act=916302 obj=6200.88732 diff=0.00599
iter=56 terr=0.01823 serr=0.14148 act=916302 obj=6125.78293 diff=0.01211
iter=57 terr=0.01761 serr=0.13843 act=916302 obj=5990.00439 diff=0.02217
iter=58 terr=0.01746 serr=0.13791 act=916302 obj=5785.76727 diff=0.03410
iter=59 terr=0.01876 serr=0.13738 act=916302 obj=5834.44493 diff=0.00841
iter=60 terr=0.01741 serr=0.13770 act=916302 obj=5716.75084 diff=0.02017
iter=61 terr=0.01722 serr=0.13644 act=916302 obj=5624.58632 diff=0.01612
iter=62 terr=0.01704 serr=0.13466 act=916302 obj=5506.06060 diff=0.02107
iter=63 terr=0.01689 serr=0.13245 act=916302 obj=5374.08349 diff=0.02397
iter=64 terr=0.01691 serr=0.13109 act=916302 obj=5265.22598 diff=0.02026
iter=65 terr=0.01602 serr=0.12752 act=916302 obj=5136.74637 diff=0.02440
iter=66 terr=0.01606 serr=0.12699 act=916302 obj=5114.62167 diff=0.00431
iter=67 terr=0.01554 serr=0.12531 act=916302 obj=5062.31380 diff=0.01023
iter=68 terr=0.01543 serr=0.12510 act=916302 obj=5048.29138 diff=0.00277
iter=69 terr=0.01524 serr=0.12395 act=916302 obj=5022.90385 diff=0.00503
iter=70 terr=0.01531 serr=0.12311 act=916302 obj=4991.00388 diff=0.00635
iter=71 terr=0.01512 serr=0.12154 act=916302 obj=4941.90153 diff=0.00984
iter=72 terr=0.01474 serr=0.11807 act=916302 obj=4828.71002 diff=0.02290
iter=73 terr=0.01569 serr=0.12122 act=916302 obj=4977.79114 diff=0.03087
iter=74 terr=0.01489 serr=0.11902 act=916302 obj=4787.60237 diff=0.03821
iter=75 terr=0.01474 serr=0.11471 act=916302 obj=4700.35915 diff=0.01822
iter=76 terr=0.01411 serr=0.11251 act=916302 obj=4567.88663 diff=0.02818
iter=77 terr=0.01761 serr=0.12364 act=916302 obj=5140.59903 diff=0.12538
iter=78 terr=0.01403 serr=0.11146 act=916302 obj=4538.05839 diff=0.11721
iter=79 terr=0.01340 serr=0.11020 act=916302 obj=4451.33510 diff=0.01911
iter=80 terr=0.01296 serr=0.10831 act=916302 obj=4364.87687 diff=0.01942
iter=81 terr=0.01271 serr=0.10621 act=916302 obj=4300.02063 diff=0.01486
iter=82 terr=0.01234 serr=0.10453 act=916302 obj=4215.85612 diff=0.01957
iter=83 terr=0.01229 serr=0.10453 act=916302 obj=4197.28843 diff=0.00440
iter=84 terr=0.01239 serr=0.10590 act=916302 obj=4162.60002 diff=0.00826
iter=85 terr=0.01226 serr=0.10590 act=916302 obj=4112.67986 diff=0.01199
iter=86 terr=0.01459 serr=0.11293 act=916302 obj=4454.50896 diff=0.08312
iter=87 terr=0.01228 serr=0.10558 act=916302 obj=4083.35263 diff=0.08332
iter=88 terr=0.01203 serr=0.10432 act=916302 obj=4027.91269 diff=0.01358
iter=89 terr=0.01206 serr=0.10506 act=916302 obj=4001.60715 diff=0.00653
iter=90 terr=0.01198 serr=0.10401 act=916302 obj=3983.47669 diff=0.00453
iter=91 terr=0.01184 serr=0.10348 act=916302 obj=3967.52363 diff=0.00400
iter=92 terr=0.01178 serr=0.10212 act=916302 obj=3943.04026 diff=0.00617
iter=93 terr=0.01180 serr=0.10233 act=916302 obj=3922.08282 diff=0.00532
iter=94 terr=0.01165 serr=0.10202 act=916302 obj=3854.01428 diff=0.01736
iter=95 terr=0.01232 serr=0.10191 act=916302 obj=3896.98015 diff=0.01115
iter=96 terr=0.01146 serr=0.10065 act=916302 obj=3826.86970 diff=0.01799
iter=97 terr=0.01125 serr=0.09960 act=916302 obj=3777.29301 diff=0.01295
iter=98 terr=0.01137 serr=0.10149 act=916302 obj=3740.95932 diff=0.00962
iter=99 terr=0.01100 serr=0.09855 act=916302 obj=3712.29966 diff=0.00766
iter=100 terr=0.01091 serr=0.09824 act=916302 obj=3691.03670 diff=0.00573
iter=101 terr=0.01136 serr=0.09908 act=916302 obj=3674.65836 diff=0.00444
iter=102 terr=0.01144 serr=0.09950 act=916302 obj=3659.83612 diff=0.00403
iter=103 terr=0.01160 serr=0.09866 act=916302 obj=3625.87851 diff=0.00928
iter=104 terr=0.01099 serr=0.09204 act=916302 obj=3568.67686 diff=0.01578
iter=105 terr=0.01090 serr=0.09299 act=916302 obj=3510.27161 diff=0.01637
iter=106 terr=0.01017 serr=0.09236 act=916302 obj=3477.55010 diff=0.00932
iter=107 terr=0.01007 serr=0.09215 act=916302 obj=3455.41991 diff=0.00636
iter=108 terr=0.00982 serr=0.09110 act=916302 obj=3401.21488 diff=0.01569
iter=109 terr=0.00963 serr=0.08953 act=916302 obj=3371.16897 diff=0.00883
iter=110 terr=0.00900 serr=0.08501 act=916302 obj=3254.51831 diff=0.03460
iter=111 terr=0.00987 serr=0.08365 act=916302 obj=3475.72907 diff=0.06797
iter=112 terr=0.00878 serr=0.08092 act=916302 obj=3212.40636 diff=0.07576
iter=113 terr=0.00880 serr=0.07997 act=916302 obj=3142.63494 diff=0.02172
iter=114 terr=0.00982 serr=0.08039 act=916302 obj=3392.01884 diff=0.07936
iter=115 terr=0.00822 serr=0.07777 act=916302 obj=3124.05137 diff=0.07900
iter=116 terr=0.00832 serr=0.07746 act=916302 obj=3096.27316 diff=0.00889
iter=117 terr=0.00827 serr=0.07683 act=916302 obj=3060.44543 diff=0.01157
iter=118 terr=0.00821 serr=0.07431 act=916302 obj=2958.53433 diff=0.03330
iter=119 terr=0.00762 serr=0.07084 act=916302 obj=2888.85429 diff=0.02355
iter=120 terr=0.00738 serr=0.06812 act=916302 obj=2940.87366 diff=0.01801
iter=121 terr=0.00749 serr=0.06927 act=916302 obj=2853.00637 diff=0.02988
iter=122 terr=0.00742 serr=0.06874 act=916302 obj=2820.12678 diff=0.01152
iter=123 terr=0.00680 serr=0.06791 act=916302 obj=2856.07963 diff=0.01275
iter=124 terr=0.00684 serr=0.06780 act=916302 obj=2807.50529 diff=0.01701
iter=125 terr=0.00674 serr=0.06686 act=916302 obj=2799.49833 diff=0.00285
iter=126 terr=0.00665 serr=0.06633 act=916302 obj=2756.24321 diff=0.01545
iter=127 terr=0.00650 serr=0.06539 act=916302 obj=2710.86355 diff=0.01646
iter=128 terr=0.00623 serr=0.06392 act=916302 obj=2633.49441 diff=0.02854
iter=129 terr=0.00628 serr=0.06276 act=916302 obj=2531.88642 diff=0.03858
iter=130 terr=0.00587 serr=0.05961 act=916302 obj=2493.87944 diff=0.01501
iter=131 terr=0.00580 serr=0.05940 act=916302 obj=2463.65776 diff=0.01212
iter=132 terr=0.00587 serr=0.05877 act=916302 obj=2445.66185 diff=0.00730
iter=133 terr=0.00600 serr=0.05919 act=916302 obj=2408.25595 diff=0.01529
iter=134 terr=0.00618 serr=0.05856 act=916302 obj=2348.76490 diff=0.02470
iter=135 terr=0.00590 serr=0.05688 act=916302 obj=2279.80383 diff=0.02936
iter=136 terr=0.00757 serr=0.06035 act=916302 obj=2381.94792 diff=0.04480
iter=137 terr=0.00598 serr=0.05605 act=916302 obj=2256.61017 diff=0.05262
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iter=197 terr=0.00087 serr=0.01113 act=916302 obj=1048.11426 diff=0.00668
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iter=228 terr=0.00019 serr=0.00231 act=916302 obj=886.75265 diff=0.00348
iter=229 terr=0.00019 serr=0.00231 act=916302 obj=884.81674 diff=0.00218
iter=230 terr=0.00019 serr=0.00231 act=916302 obj=882.70032 diff=0.00239
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iter=233 terr=0.00020 serr=0.00241 act=916302 obj=876.02477 diff=0.04795
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iter=236 terr=0.00019 serr=0.00231 act=916302 obj=869.78409 diff=0.00184
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iter=341 terr=0.00005 serr=0.00042 act=916302 obj=762.73742 diff=0.00025
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iter=356 terr=0.00005 serr=0.00042 act=916302 obj=756.33220 diff=0.00149
iter=357 terr=0.00005 serr=0.00042 act=916302 obj=756.24051 diff=0.00012
iter=358 terr=0.00005 serr=0.00042 act=916302 obj=756.07666 diff=0.00022
iter=359 terr=0.00005 serr=0.00042 act=916302 obj=755.59288 diff=0.00064
iter=360 terr=0.00005 serr=0.00042 act=916302 obj=755.11044 diff=0.00064
iter=361 terr=0.00005 serr=0.00042 act=916302 obj=755.83576 diff=0.00096
iter=362 terr=0.00005 serr=0.00042 act=916302 obj=754.92878 diff=0.00120
iter=363 terr=0.00005 serr=0.00042 act=916302 obj=754.62918 diff=0.00040
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iter=365 terr=0.00005 serr=0.00042 act=916302 obj=754.34569 diff=0.00016
iter=366 terr=0.00005 serr=0.00042 act=916302 obj=754.18323 diff=0.00022
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iter=368 terr=0.00005 serr=0.00042 act=916302 obj=753.61721 diff=0.00025
iter=369 terr=0.00005 serr=0.00042 act=916302 obj=753.30092 diff=0.00042
iter=370 terr=0.00005 serr=0.00042 act=916302 obj=752.83150 diff=0.00062
iter=371 terr=0.00005 serr=0.00042 act=916302 obj=751.96797 diff=0.00115
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iter=376 terr=0.00005 serr=0.00052 act=916302 obj=750.26801 diff=0.00005
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iter=378 terr=0.00005 serr=0.00052 act=916302 obj=749.57462 diff=0.00042
iter=379 terr=0.00005 serr=0.00052 act=916302 obj=749.19846 diff=0.00050
iter=380 terr=0.00005 serr=0.00052 act=916302 obj=748.76277 diff=0.00058
iter=381 terr=0.00005 serr=0.00052 act=916302 obj=748.38399 diff=0.00051
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iter=383 terr=0.00005 serr=0.00052 act=916302 obj=747.84995 diff=0.00037
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iter=386 terr=0.00005 serr=0.00052 act=916302 obj=746.93335 diff=0.00043
iter=387 terr=0.00005 serr=0.00052 act=916302 obj=746.48127 diff=0.00061
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iter=390 terr=0.00005 serr=0.00052 act=916302 obj=745.80297 diff=0.00018
iter=391 terr=0.00005 serr=0.00052 act=916302 obj=745.62967 diff=0.00023
iter=392 terr=0.00005 serr=0.00052 act=916302 obj=745.50724 diff=0.00016
iter=393 terr=0.00005 serr=0.00052 act=916302 obj=745.50604 diff=0.00000
iter=394 terr=0.00005 serr=0.00052 act=916302 obj=745.44185 diff=0.00009
iter=395 terr=0.00005 serr=0.00052 act=916302 obj=745.37300 diff=0.00009

Done!686.16 s

-> Setting up chunker: chunker_cp
--> Chunk propagation
2017-06-14 20:27:40,110 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100523.xml
(ChunkerEvaluator) Sentence #1 from 00100523 from sent1

Text  : Sanktuarium Wambierzyckiej Królowej Rodzin
Tokens: 1__________ 2_____________ 3_______ 4_____

Chunks:
  TruePositive nam [1,4] = Sanktuarium Wambierzyckiej Królowej Rodzin (confidence=1.00)

(ChunkerEvaluator) Sentence #2 from 00100523 from sent2

Text  : Bazylika w Wambierzycach - barokowa bazylika znajdująca się w Wambierzycach ._
Tokens: 1_______ 2 3____________ 4 5_______ 6_______ 7_________ 8__ 9 10___________ 11

Chunks:
  TruePositive nam [3,3] = Wambierzycach (confidence=1.00)
  TruePositive nam [10,10] = Wambierzycach (confidence=1.00)

(ChunkerEvaluator) Sentence #3 from 00100523 from sent3

Text  : Wybudowana została w latach 1715 - 1723 .
Tokens: 1_________ 2______ 3 4_____ 5___ 6 7___ 8

Chunks:

(ChunkerEvaluator) Sentence #4 from 00100523 from sent4

Text  : W roku 1936 papież Pius XI nadał kościołowi tytuł bazyliki mniejszej ._
Tokens: 1 2___ 3___ 4_____ 5___ 6_ 7____ 8_________ 9____ 10______ 11_______ 12

Chunks:
  TruePositive nam [5,6] = Pius XI (confidence=1.00)

(ChunkerEvaluator) Sentence #5 from 00100523 from sent5

Text  : Historia
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #6 from 00100523 from sent6

Text  : Obecna bazylika stoi na wzgórzu , gdzie w XII wieku w_ niszy wysokiego drzewa umieszczono figurkę Matki Boskiej ._
Tokens: 1_____ 2_______ 3___ 4_ 5______ 6 7____ 8 9__ 10___ 11 12___ 13_______ 14____ 15_________ 16_____ 17___ 18_____ 19

Chunks:
  TruePositive nam [17,18] = Matki Boskiej (confidence=0.99)

(ChunkerEvaluator) Sentence #7 from 00100523 from sent7

Text  : Według kronik w 1218 roku ociemniały Jan z Raszewa odzyskuje w_ tym miejscu wzrok ._
Tokens: 1_____ 2_____ 3 4___ 5___ 6_________ 7__ 8 9______ 10_______ 11 12_ 13_____ 14___ 15

Chunks:
  TruePositive nam [7,7] = Jan (confidence=1.00)
  TruePositive nam [9,9] = Raszewa (confidence=0.96)

(ChunkerEvaluator) Sentence #8 from 00100523 from sent8

Text  : Po tym zdarzeniu do Wambierzyc zaczęło podróżować wielu pielgrzymów ._
Tokens: 1_ 2__ 3________ 4_ 5_________ 6______ 7_________ 8____ 9__________ 10

Chunks:
  TruePositive nam [5,5] = Wambierzyc (confidence=0.95)

(ChunkerEvaluator) Sentence #9 from 00100523 from sent9

Text  : Wkrótce pod drzewem z figurką postawiono ołtarz , a po bokach lichtarz i_ chrzcielnicę ._
Tokens: 1______ 2__ 3______ 4 5______ 6_________ 7_____ 8 9 10 11____ 12______ 13 14__________ 15

Chunks:

(ChunkerEvaluator) Sentence #10 from 00100523 from sent10

Text  : W 1263 roku na wzgórzu powstaje drewniany kościół .
Tokens: 1 2___ 3___ 4_ 5______ 6_______ 7________ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #11 from 00100523 from sent11

Text  : W 1512 roku Ludwik von Panwitz stawia większą świątynię wybudowaną z_ cegły ._
Tokens: 1 2___ 3___ 4_____ 5__ 6______ 7_____ 8______ 9________ 10________ 11 12___ 13

Chunks:
  TruePositive nam [4,6] = Ludwik von Panwitz (confidence=1.00)

(ChunkerEvaluator) Sentence #12 from 00100523 from sent12

Text  : Zostaje on jednak zrujnowany podczas wojny trzydziestoletniej .
Tokens: 1______ 2_ 3_____ 4_________ 5______ 6____ 7_________________ 8

Chunks:
  FalseNegative nam [6,7] = wojny trzydziestoletniej

(ChunkerEvaluator) Sentence #13 from 00100523 from sent13

Text  : W latach 1695 - 1711 powstaje nowy renesansowy kościół ,_ który jednak szybko zaczyna się walić i_ zostaje rozebrany w_ 1714 roku ._
Tokens: 1 2_____ 3___ 4 5___ 6_______ 7___ 8__________ 9______ 10 11___ 12____ 13____ 14_____ 15_ 16___ 17 18_____ 19_______ 20 21__ 22__ 23

Chunks:

(ChunkerEvaluator) Sentence #14 from 00100523 from sent14

Text  : W latach 1715 - 1723 powstaje kolejna świątynia wybudowana przez hrabiego Franciszka Antoniego von Goetzen ,_ która przetrwała do dziś ._
Tokens: 1 2_____ 3___ 4 5___ 6_______ 7______ 8________ 9_________ 10___ 11______ 12________ 13_______ 14_ 15_____ 16 17___ 18________ 19 20__ 21

Chunks:
  TruePositive nam [12,15] = Franciszka Antoniego von Goetzen (confidence=1.00)

(ChunkerEvaluator) Sentence #15 from 00100523 from sent15

Text  : W roku 1936 papież Pius XI nadał kościołowi tytuł bazyliki mniejszej ._
Tokens: 1 2___ 3___ 4_____ 5___ 6_ 7____ 8_________ 9____ 10______ 11_______ 12

Chunks:
  TruePositive nam [5,6] = Pius XI (confidence=1.00)

(ChunkerEvaluator) Sentence #16 from 00100523 from sent16

Text  : 17 sierpnia 1980 roku papież Jan Paweł II dokonał koronacji figurki Matki Bożej nadając jej tytuł Wambierzyckiej Królowej Rodzin ._
Tokens: 1_ 2_______ 3___ 4___ 5_____ 6__ 7____ 8_ 9______ 10_______ 11_____ 12___ 13___ 14_____ 15_ 16___ 17____________ 18______ 19____ 20

Chunks:
  TruePositive nam [6,8] = Jan Paweł II (confidence=1.00)
  TruePositive nam [17,19] = Wambierzyckiej Królowej Rodzin (confidence=1.00)
  FalseNegative nam [12,13] = Matki Bożej

2017-06-14 20:27:40,173 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 2 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100623.xml
(ChunkerEvaluator) Sentence #17 from 00100623 from sent1

Text  : Wieczorem 10 grudnia około 20 neonazistów zaatakowało grupę 7 anarchistów w_ Sankt Petersburgu ._
Tokens: 1________ 2_ 3______ 4____ 5_ 6__________ 7__________ 8____ 9 10_________ 11 12___ 13_________ 14

Chunks:
  TruePositive nam [12,13] = Sankt Petersburgu (confidence=1.00)

(ChunkerEvaluator) Sentence #18 from 00100623 from sent2

Text  : Faszyści mieli zakryte twarze i maski gazowe , co świadczy o_ tym ,_ że atak był zaplanowany ._
Tokens: 1_______ 2____ 3______ 4_____ 5 6____ 7_____ 8 9_ 10______ 11 12_ 13 14 15__ 16_ 17_________ 18

Chunks:

(ChunkerEvaluator) Sentence #19 from 00100623 from sent3

Text  : Trzech anarchistów zostało ciężko rannych i są w szpitalu ._
Tokens: 1_____ 2__________ 3______ 4_____ 5______ 6 7_ 8 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #20 from 00100623 from sent4

Text  : 2 osoby zostały pchnięte nożem .
Tokens: 1 2____ 3______ 4_______ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #21 from 00100623 from sent5

Text  : Jedna ma 7 ran , w tym uszkodzone nerki ._
Tokens: 1____ 2_ 3 4__ 5 6 7__ 8_________ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #22 from 00100623 from sent6

Text  : Rosyjscy anarchiści uważają , że dokonała tego ta sama grupa neonazistów ,_ która 3_ grudnia zaatakowała pikietę antywojenną ._
Tokens: 1_______ 2_________ 3______ 4 5_ 6_______ 7___ 8_ 9___ 10___ 11_________ 12 13___ 14 15_____ 16_________ 17_____ 18_________ 19

Chunks:

(ChunkerEvaluator) Sentence #23 from 00100623 from sent7

Text  : 3 grudnia także zaatakowano ludzi w Moskwie , także byli to łysi z_ maskami gazowymi ._
Tokens: 1 2______ 3____ 4__________ 5____ 6 7______ 8 9____ 10__ 11 12__ 13 14_____ 15______ 16

Chunks:
  TruePositive nam [7,7] = Moskwie (confidence=1.00)

(ChunkerEvaluator) Sentence #24 from 00100623 from sent8

Text  : Więc poderzewają , że akcje te organizowane są przez grupę neonazistowską ._
Tokens: 1___ 2__________ 3 4_ 5____ 6_ 7___________ 8_ 9____ 10___ 11____________ 12

Chunks:

(ChunkerEvaluator) Sentence #25 from 00100623 from sent9

Text  : 3 grudnia w Sankt Petersburgu 30 neonazistów zaatakowało 10 osób ,_ ale tym razem anarchiści odparli nazistów i_ jeden z_ nich trafił do szpitala ._
Tokens: 1 2______ 3 4____ 5__________ 6_ 7__________ 8__________ 9_ 10__ 11 12_ 13_ 14___ 15________ 16_____ 17______ 18 19___ 20 21__ 22____ 23 24______ 25

Chunks:
  TruePositive nam [4,5] = Sankt Petersburgu (confidence=1.00)

2017-06-14 20:27:40,210 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 3 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100624.xml
(ChunkerEvaluator) Sentence #26 from 00100624 from sent1

Text  : 12 - letni Rafał z Ozorkowa został dotkliwie okaleczony przez psa ._
Tokens: 1_ 2 3____ 4____ 5 6_______ 7_____ 8________ 9_________ 10___ 11_ 12

Chunks:
  TruePositive nam [4,4] = Rafał (confidence=0.99)
  TruePositive nam [6,6] = Ozorkowa (confidence=1.00)

(ChunkerEvaluator) Sentence #27 from 00100624 from sent2

Text  : Owczarek podhalański rozerwał mu nos i odgryzł kawałek nozdrza ._
Tokens: 1_______ 2__________ 3_______ 4_ 5__ 6 7______ 8______ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #28 from 00100624 from sent3

Text  : Dawny wygląd może przywrócić chłopcu tylko operacja plastyczna .
Tokens: 1____ 2_____ 3___ 4_________ 5______ 6____ 7_______ 8_________ 9

Chunks:

(ChunkerEvaluator) Sentence #29 from 00100624 from sent4

Text  : Do zdarzenia doszło przed jednym z barów piwnych w miejscowości Cedrowice ._
Tokens: 1_ 2________ 3_____ 4____ 5_____ 6 7____ 8______ 9 10__________ 11_______ 12

Chunks:
  TruePositive nam [11,11] = Cedrowice (confidence=0.99)

(ChunkerEvaluator) Sentence #30 from 00100624 from sent5

Text  : Następnego dnia rano Rafał miał wyjechać wraz z rodzicami na wakacje nad jeziorami ._
Tokens: 1_________ 2___ 3___ 4____ 5___ 6_______ 7___ 8 9________ 10 11_____ 12_ 13_______ 14

Chunks:
  TruePositive nam [4,4] = Rafał (confidence=1.00)

(ChunkerEvaluator) Sentence #31 from 00100624 from sent6

Text  : - Bar znajduje się po sąsiedzku z naszym domem -_ mówi ojciec Rafała ._
Tokens: 1 2__ 3_______ 4__ 5_ 6________ 7 8_____ 9____ 10 11__ 12____ 13____ 14

Chunks:
  TruePositive nam [13,13] = Rafała (confidence=1.00)
  FalsePositive nam [2,2] = Bar (confidence=0.61) (incorrect boundry)

(ChunkerEvaluator) Sentence #32 from 00100624 from sent7

Text  : - Prowadzą go moi rodzice .
Tokens: 1 2_______ 3_ 4__ 5______ 6

Chunks:

(ChunkerEvaluator) Sentence #33 from 00100624 from sent8

Text  : Wieczorem Rafał postanowił odwiedzić babcię .
Tokens: 1________ 2____ 3_________ 4________ 5_____ 6

Chunks:
  TruePositive nam [2,2] = Rafał (confidence=0.98)

(ChunkerEvaluator) Sentence #34 from 00100624 from sent9

Text  : Przy wejściu do lokalu spotkał wuja z owczarkiem podhalańskim na smyczy ._
Tokens: 1___ 2______ 3_ 4_____ 5______ 6___ 7 8_________ 9___________ 10 11____ 12

Chunks:

(ChunkerEvaluator) Sentence #35 from 00100624 from sent10

Text  : Pies był bez kagańca .
Tokens: 1___ 2__ 3__ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #36 from 00100624 from sent11

Text  : Nie wiem z jakiego powodu bestia rzuciła się na syna ._
Tokens: 1__ 2___ 3 4______ 5_____ 6_____ 7______ 8__ 9_ 10__ 11

Chunks:

(ChunkerEvaluator) Sentence #37 from 00100624 from sent12

Text  : Pamiętam tylko , że dziecko wpadło do domu z przeraźliwym płaczem ._
Tokens: 1_______ 2____ 3 4_ 5______ 6_____ 7_ 8___ 9 10__________ 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #38 from 00100624 from sent13

Text  : Z nosa lała mu się krew .
Tokens: 1 2___ 3___ 4_ 5__ 6___ 7

Chunks:

(ChunkerEvaluator) Sentence #39 from 00100624 from sent14

Text  : Na szczęście lekarzom w porę udało się przeprowadzić operację ._
Tokens: 1_ 2________ 3_______ 4 5___ 6____ 7__ 8____________ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #40 from 00100624 from sent15

Text  : Świadkowie podają różne wersje zdarzenia .
Tokens: 1_________ 2_____ 3____ 4_____ 5________ 6

Chunks:

(ChunkerEvaluator) Sentence #41 from 00100624 from sent16

Text  : Według babci chłopca , pies zaatakował Rafała , kiedy jego właściciel na czas opróżniania kufla z_ piwem przekazał chłopcu smycz do potrzymania ._
Tokens: 1_____ 2____ 3______ 4 5___ 6_________ 7_____ 8 9____ 10__ 11________ 12 13__ 14_________ 15___ 16 17___ 18_______ 19_____ 20___ 21 22_________ 23

Chunks:
  TruePositive nam [7,7] = Rafała (confidence=1.00)

(ChunkerEvaluator) Sentence #42 from 00100624 from sent17

Text  : Właściciel Korala ( tak wabi się bestia ) twierdzi natomiast ,_ że Rafał drażnił się z_ czworonogiem i_ dlatego wywołał u_ niego agresję ._
Tokens: 1_________ 2_____ 3 4__ 5___ 6__ 7_____ 8 9_______ 10_______ 11 12 13___ 14_____ 15_ 16 17__________ 18 19_____ 20_____ 21 22___ 23_____ 24

Chunks:
  TruePositive nam [13,13] = Rafał (confidence=1.00)
  FalsePositive nam [1,2] = Właściciel Korala (confidence=0.57) (incorrect boundry)
  FalseNegative nam [2,2] = Korala

(ChunkerEvaluator) Sentence #43 from 00100624 from sent18

Text  : To bardzo spokojny pies - mówi właściciel .
Tokens: 1_ 2_____ 3_______ 4___ 5 6___ 7_________ 8

Chunks:

(ChunkerEvaluator) Sentence #44 from 00100624 from sent19

Text  : - Zawsze wiernie chodził przy nodze i słuchał poleceń ._
Tokens: 1 2_____ 3______ 4______ 5___ 6____ 7 8______ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #45 from 00100624 from sent20

Text  : W związku z tym zdarzało się , że wychodził em z_ nim na spacer bez kagańca ._
Tokens: 1 2______ 3 4__ 5_______ 6__ 7 8_ 9________ 10 11 12_ 13 14____ 15_ 16_____ 17

Chunks:

(ChunkerEvaluator) Sentence #46 from 00100624 from sent21

Text  : Nigdy wcześniej nie zrobił nikomu nic złego .
Tokens: 1____ 2________ 3__ 4_____ 5_____ 6__ 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #47 from 00100624 from sent22

Text  : Pogryziony chłopiec jest w szoku .
Tokens: 1_________ 2_______ 3___ 4 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #48 from 00100624 from sent23

Text  : Zamiast wakacyjnego szaleństwa nad wodą , leży obolały w domu ._
Tokens: 1______ 2__________ 3_________ 4__ 5___ 6 7___ 8______ 9 10__ 11

Chunks:

(ChunkerEvaluator) Sentence #49 from 00100624 from sent24

Text  : Ma dużą ranę na nosie i odgryziony kawałek nozdrza ._
Tokens: 1_ 2___ 3___ 4_ 5____ 6 7_________ 8______ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #50 from 00100624 from sent25

Text  : Lekarze mówią , że konieczny będzie przeszczep z okolic pachwiny ._
Tokens: 1______ 2____ 3 4_ 5________ 6_____ 7_________ 8 9_____ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #51 from 00100624 from sent26

Text  : Rodzice Rafała martwią się , że chłopca może czekać seria bolesnych zastrzyków ._
Tokens: 1______ 2_____ 3______ 4__ 5 6_ 7______ 8___ 9_____ 10___ 11_______ 12________ 13

Chunks:
  TruePositive nam [2,2] = Rafała (confidence=1.00)

(ChunkerEvaluator) Sentence #52 from 00100624 from sent27

Text  : Do tej pory nie udało się bowiem ustalić , czy pies był szczepiony przeciw wściekliźnie ._
Tokens: 1_ 2__ 3___ 4__ 5____ 6__ 7_____ 8______ 9 10_ 11__ 12_ 13________ 14_____ 15__________ 16

Chunks:

(ChunkerEvaluator) Sentence #53 from 00100624 from sent28

Text  : Wprawdzie jego właściciel twierdzi , że tak , ale nie ma na to dokumentu ._
Tokens: 1________ 2___ 3_________ 4_______ 5 6_ 7__ 8 9__ 10_ 11 12 13 14_______ 15

Chunks:

(ChunkerEvaluator) Sentence #54 from 00100624 from sent29

Text  : Obecnie Koral jest pod obserwacją lekarzy weterynarii .
Tokens: 1______ 2____ 3___ 4__ 5_________ 6______ 7__________ 8

Chunks:
  TruePositive nam [2,2] = Koral (confidence=1.00)

2017-06-14 20:27:40,302 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101203.xml
(ChunkerEvaluator) Sentence #55 from 00101203 from sent1

Text  : Cerkiew św . Mikołaja w Brześciu ( nieistniejąca )
Tokens: 1______ 2_ 3 4_______ 5 6_______ 7 8____________ 9

Chunks:
  TruePositive nam [1,4] = Cerkiew św . Mikołaja (confidence=0.92)
  TruePositive nam [6,6] = Brześciu (confidence=0.99)

(ChunkerEvaluator) Sentence #56 from 00101203 from sent2

Text  : Cerkiew świętego Mikołaja w Brześciu — nieistniejąca obecnie świątynia prawosławna oraz unicka ._
Tokens: 1______ 2_______ 3_______ 4 5_______ 6 7____________ 8______ 9________ 10_________ 11__ 12____ 13

Chunks:
  TruePositive nam [5,5] = Brześciu (confidence=1.00)
  FalsePositive nam [3,3] = Mikołaja (confidence=0.99) (incorrect boundry)
  FalseNegative nam [1,3] = Cerkiew świętego Mikołaja

(ChunkerEvaluator) Sentence #57 from 00101203 from sent3

Text  : Pierwotnie zapewne reprezentowała budownictwo gotyckie na terenie Wielkiego Księstwa Litewskiego ._
Tokens: 1_________ 2______ 3_____________ 4__________ 5_______ 6_ 7______ 8________ 9_______ 10_________ 11

Chunks:
  TruePositive nam [8,10] = Wielkiego Księstwa Litewskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #58 from 00101203 from sent4

Text  : Przebudowana w okresie baroku .
Tokens: 1___________ 2 3______ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #59 from 00101203 from sent5

Text  : Na rozkaz władz carskich zburzona wraz z całą brzeską Starówką w_ związku z_ budową twierdzy brzeskiej ._
Tokens: 1_ 2_____ 3____ 4_______ 5_______ 6___ 7 8___ 9______ 10______ 11 12_____ 13 14____ 15______ 16_______ 17

Chunks:
  FalseNegative nam [10,10] = Starówką
  FalseNegative nam [15,16] = twierdzy brzeskiej

(ChunkerEvaluator) Sentence #60 from 00101203 from sent6

Text  : Historia
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #61 from 00101203 from sent7

Text  : 1390 — pierwsza wzmianka o cerkwi św . Mikołaja przy okazji nadania Brześciowi prawa magdeburskiego ._
Tokens: 1___ 2 3_______ 4_______ 5 6_____ 7_ 8 9_______ 10__ 11____ 12_____ 13________ 14___ 15____________ 16

Chunks:
  FalsePositive nam [6,9] = cerkwi św . Mikołaja (confidence=0.39) (incorrect boundry)
  FalsePositive nam [13,15] = Brześciowi prawa magdeburskiego (confidence=1.00) (incorrect boundry)
  FalseNegative nam [7,9] = św . Mikołaja
  FalseNegative nam [13,13] = Brześciowi

(ChunkerEvaluator) Sentence #62 from 00101203 from sent8

Text  : 1596 — sobór brzeski i podpisanie w świątyni aktu unii kościelnej ,_ w_ wyniku czego cerkiew przeszła w_ ręce unitów ._
Tokens: 1___ 2 3____ 4______ 5 6_________ 7 8_______ 9___ 10__ 11________ 12 13 14____ 15___ 16_____ 17______ 18 19__ 20____ 21

Chunks:
  FalseNegative nam [3,4] = sobór brzeski

(ChunkerEvaluator) Sentence #63 from 00101203 from sent9

Text  : 1839 - kasata unii brzeskiej na ziemiach zabranych , przejęcie świątyń Kościoła greckokatolickiego przez Rosyjską Cerkiew Prawosławną ._
Tokens: 1___ 2 3_____ 4___ 5________ 6_ 7_______ 8________ 9 10_______ 11_____ 12______ 13________________ 14___ 15______ 16_____ 17_________ 18

Chunks:
  TruePositive nam [15,17] = Rosyjską Cerkiew Prawosławną (confidence=0.97)
  FalsePositive nam [12,12] = Kościoła (confidence=0.88) (incorrect boundry)
  FalseNegative nam [4,5] = unii brzeskiej
  FalseNegative nam [7,8] = ziemiach zabranych
  FalseNegative nam [12,13] = Kościoła greckokatolickiego

(ChunkerEvaluator) Sentence #64 from 00101203 from sent10

Text  : 1840 – 1850 — zburzenie Starego Miasta ( w tym cerkwi )_ przez władze rosyjskie pod budowę twierdzy brzeskiej ._
Tokens: 1___ 2 3___ 4 5________ 6______ 7_____ 8 9 10_ 11____ 12 13___ 14____ 15_______ 16_ 17____ 18______ 19_______ 20

Chunks:
  TruePositive nam [6,7] = Starego Miasta (confidence=1.00)
  FalseNegative nam [18,19] = twierdzy brzeskiej

2017-06-14 20:27:40,339 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101207.xml
(ChunkerEvaluator) Sentence #65 from 00101207 from sent1

Text  : Feliks Krzemiński
Tokens: 1_____ 2_________

Chunks:
  TruePositive nam [1,2] = Feliks Krzemiński (confidence=1.00)

(ChunkerEvaluator) Sentence #66 from 00101207 from sent2

Text  : Feliks Krzemiński ( ur . 8 czerwca 1925 ) –_ polski polityk ,_ poseł na Sejm PRL VIII kadencji ._
Tokens: 1_____ 2_________ 3 4_ 5 6 7______ 8___ 9 10 11____ 12_____ 13 14___ 15 16__ 17_ 18__ 19______ 20

Chunks:
  TruePositive nam [1,2] = Feliks Krzemiński (confidence=1.00)
  FalsePositive nam [16,18] = Sejm PRL VIII (confidence=0.98) (incorrect boundry)
  FalseNegative nam [16,16] = Sejm
  FalseNegative nam [17,17] = PRL

(ChunkerEvaluator) Sentence #67 from 00101207 from sent3

Text  : Życiorys
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #68 from 00101207 from sent4

Text  : Uzyskał wykształcenie podstawowe .
Tokens: 1______ 2____________ 3_________ 4

Chunks:

(ChunkerEvaluator) Sentence #69 from 00101207 from sent5

Text  : W 1980 uzyskał mandat posła na Sejm PRL VIII kadencji w_ okręgu Płock ._
Tokens: 1 2___ 3______ 4_____ 5____ 6_ 7___ 8__ 9___ 10______ 11 12____ 13___ 14

Chunks:
  TruePositive nam [13,13] = Płock (confidence=1.00)
  FalsePositive nam [7,9] = Sejm PRL VIII (confidence=0.99) (incorrect boundry)
  FalseNegative nam [7,7] = Sejm
  FalseNegative nam [8,8] = PRL

(ChunkerEvaluator) Sentence #70 from 00101207 from sent6

Text  : Zasiadał w Komisji Komunikacji i Łączności , Komisji Planu Gospodarczego ,_ Budżetu i_ Finansów oraz w_ Komisji Obrony Narodowej ._
Tokens: 1_______ 2 3______ 4__________ 5 6________ 7 8______ 9____ 10___________ 11 12_____ 13 14______ 15__ 16 17_____ 18____ 19_______ 20

Chunks:
  TruePositive nam [3,6] = Komisji Komunikacji i Łączności (confidence=1.00)
  TruePositive nam [17,19] = Komisji Obrony Narodowej (confidence=1.00)
  FalsePositive nam [8,10] = Komisji Planu Gospodarczego (confidence=1.00) (incorrect boundry)
  FalsePositive nam [12,14] = Budżetu i Finansów (confidence=0.95) (incorrect boundry)
  FalseNegative nam [8,14] = Komisji Planu Gospodarczego , Budżetu i Finansów

2017-06-14 20:27:40,358 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101214.xml
(ChunkerEvaluator) Sentence #71 from 00101214 from sent1

Text  : Kondygnacja
Tokens: 1__________

Chunks:

(ChunkerEvaluator) Sentence #72 from 00101214 from sent2

Text  : Kondygnacja – w budownictwie część budynku zawarta między bezpośrednio nad sobą położonymi stropami ._
Tokens: 1__________ 2 3 4___________ 5____ 6______ 7______ 8_____ 9___________ 10_ 11__ 12________ 13______ 14

Chunks:

(ChunkerEvaluator) Sentence #73 from 00101214 from sent3

Text  : W zależności od położenia kondygnacji można mówić o parterze ,_ stanowiącym poziom ,_ na którym znajduje się główne wejście ,_ piętrach ,_ czyli poziomach położonych powyżej parteru oraz piwnicy ,_ której powierzchnia podłogi leży niżej ,_ niż powierzchnia otaczającego budynek terenu ._
Tokens: 1 2_________ 3_ 4________ 5__________ 6____ 7____ 8 9_______ 10 11_________ 12____ 13 14 15____ 16______ 17_ 18____ 19_____ 20 21______ 22 23___ 24_______ 25________ 26_____ 27_____ 28__ 29_____ 30 31____ 32__________ 33_____ 34__ 35___ 36 37_ 38__________ 39__________ 40_____ 41____ 42

Chunks:

(ChunkerEvaluator) Sentence #74 from 00101214 from sent4

Text  : Ostatnie piętro położone bezpośrednio pod dachem spadzistym jest określane jako poddasze ,_ ewentualnie mansarda ,_ zaś używana jako np ._ pomieszczenie mieszkalne lub handlowe płytka piwnica –_ suterena ._
Tokens: 1_______ 2_____ 3_______ 4___________ 5__ 6_____ 7_________ 8___ 9________ 10__ 11______ 12 13_________ 14______ 15 16_ 17_____ 18__ 19 20 21___________ 22________ 23_ 24______ 25____ 26_____ 27 28______ 29

Chunks:

(ChunkerEvaluator) Sentence #75 from 00101214 from sent5

Text  : W przypadku bardziej skomplikowanych układów przestrzennych ( np . split levels )_ występują półpiętra ,_ znajdujące się pomiędzy głównymi poziomami budynku ._
Tokens: 1 2________ 3_______ 4______________ 5______ 6_____________ 7 8_ 9 10___ 11____ 12 13_______ 14_______ 15 16________ 17_ 18______ 19______ 20_______ 21_____ 22

Chunks:

(ChunkerEvaluator) Sentence #76 from 00101214 from sent6

Text  : Jako półpiętro można określać też mezzanino .
Tokens: 1___ 2________ 3____ 4_______ 5__ 6________ 7

Chunks:

(ChunkerEvaluator) Sentence #77 from 00101214 from sent7

Text  : W mowie potocznej uznaje się często piętro za synonim kondygnacji ._
Tokens: 1 2____ 3________ 4_____ 5__ 6_____ 7_____ 8_ 9______ 10_________ 11

Chunks:

(ChunkerEvaluator) Sentence #78 from 00101214 from sent8

Text  : Wysokość kondygnacji definiuje się poprzez wysokość między poziomem powierzchni podłogi danej kondygnacji a_ poziomem powierzchni podłogi kondygnacji leżącej powyżej ._
Tokens: 1_______ 2__________ 3________ 4__ 5______ 6_______ 7_____ 8_______ 9__________ 10_____ 11___ 12_________ 13 14______ 15_________ 16_____ 17_________ 18_____ 19_____ 20

Chunks:

(ChunkerEvaluator) Sentence #79 from 00101214 from sent9

Text  : Różnica pomiędzy poziomem posadzki a wykończonym sufitem to wysokość w_ świetle ._
Tokens: 1______ 2_______ 3_______ 4_______ 5 6__________ 7______ 8_ 9_______ 10 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #80 from 00101214 from sent10

Text  : Kondygnacją powtarzalną jest taka , która nie różni się w_ sensie technicznym od innych kondygnacji w_ tej samej budowli ._
Tokens: 1__________ 2__________ 3___ 4___ 5 6____ 7__ 8____ 9__ 10 11____ 12_________ 13 14____ 15_________ 16 17_ 18___ 19_____ 20

Chunks:

(ChunkerEvaluator) Sentence #81 from 00101214 from sent11

Text  : Numeracja
Tokens: 1________

Chunks:

(ChunkerEvaluator) Sentence #82 from 00101214 from sent12

Text  : Kondygnacje nadziemne numeruje się począwszy od jedności , tj ._ 1_ ,_ 2_ ,_ 3_ itd ,_ zaś kondygnacje podziemne otrzymują numery -_ 1_ ,_ -_ 2_ itd ._
Tokens: 1__________ 2________ 3_______ 4__ 5________ 6_ 7_______ 8 9_ 10 11 12 13 14 15 16_ 17 18_ 19_________ 20_______ 21_______ 22____ 23 24 25 26 27 28_ 29

Chunks:

(ChunkerEvaluator) Sentence #83 from 00101214 from sent13

Text  : Zero w numeracji nie występuje Polska Norma PN - B_ -_ 01025 :_ 2004 :_
Tokens: 1___ 2 3________ 4__ 5________ 6_____ 7____ 8_ 9 10 11 12___ 13 14__ 15

Chunks:
  FalsePositive nam [6,6] = Polska (confidence=1.00) (incorrect boundry)
  FalsePositive nam [7,12] = Norma PN - B - 01025 (confidence=0.71) (incorrect boundry)
  FalseNegative nam [6,14] = Polska Norma PN - B - 01025 : 2004

(ChunkerEvaluator) Sentence #84 from 00101214 from sent14

Text  : Tradycyjnie przyjęta praktyczna numeracja kondygnacji ( np . na panelu windy )_ w_ Polsce i_ wielu innych krajach europejskich nakazuje jednak numerować piętro położone ponad parterem jako pierwsze ._
Tokens: 1__________ 2_______ 3_________ 4________ 5__________ 6 7_ 8 9_ 10____ 11___ 12 13 14____ 15 16___ 17____ 18_____ 19__________ 20______ 21____ 22_______ 23____ 24______ 25___ 26______ 27__ 28______ 29

Chunks:
  TruePositive nam [14,14] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #85 from 00101214 from sent15

Text  : W krajach anglojęzycznych istnieją różniące się normy amerykańska i brytyjska ._
Tokens: 1 2______ 3______________ 4_______ 5_______ 6__ 7____ 8__________ 9 10_______ 11

Chunks:

(ChunkerEvaluator) Sentence #86 from 00101214 from sent16

Text  : Wedle amerykańskiego zwyczaju first floor ( czyli pierwsze piętro )_ oznacza parter ,_ zaś wedle brytyjskiego pierwsze piętro ._
Tokens: 1____ 2_____________ 3_______ 4____ 5____ 6 7____ 8_______ 9_____ 10 11_____ 12____ 13 14_ 15___ 16__________ 17______ 18____ 19

Chunks:

(ChunkerEvaluator) Sentence #87 from 00101214 from sent17

Text  : Analogicznie do amerykańskiego nazewnictwo używane jest w krajach byłego ZSRR oraz było stosowane w_ NRD ._
Tokens: 1___________ 2_ 3_____________ 4__________ 5______ 6___ 7 8______ 9_____ 10__ 11__ 12__ 13_______ 14 15_ 16

Chunks:
  TruePositive nam [10,10] = ZSRR (confidence=0.99)
  TruePositive nam [15,15] = NRD (confidence=0.97)

2017-06-14 20:27:40,438 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 7 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101261.xml
(ChunkerEvaluator) Sentence #88 from 00101261 from sent1

Text  : Symbole Kanady
Tokens: 1______ 2_____

Chunks:
  TruePositive nam [2,2] = Kanady (confidence=0.95)

(ChunkerEvaluator) Sentence #89 from 00101261 from sent2

Text  : Symbole Kanady - to obok flagi Kanady , godła Kanady i_ hymnu Kanady ,_ to także inne nieoficjalne lecz często powtarzające się w_ kanadyjskiej ikonografii symbole :_
Tokens: 1______ 2_____ 3 4_ 5___ 6____ 7_____ 8 9____ 10____ 11 12___ 13____ 14 15 16___ 17__ 18__________ 19__ 20____ 21__________ 22_ 23 24__________ 25_________ 26_____ 27

Chunks:
  TruePositive nam [2,2] = Kanady (confidence=0.98)
  TruePositive nam [7,7] = Kanady (confidence=0.98)
  TruePositive nam [10,10] = Kanady (confidence=0.99)
  TruePositive nam [13,13] = Kanady (confidence=0.99)

(ChunkerEvaluator) Sentence #90 from 00101261 from sent3

Text  : Bóbr i klon stały się dwoma symbolami Kanady już we wczesnej fazie jej historii ._
Tokens: 1___ 2 3___ 4____ 5__ 6____ 7________ 8_____ 9__ 10 11______ 12___ 13_ 14______ 15

Chunks:
  TruePositive nam [8,8] = Kanady (confidence=0.98)

(ChunkerEvaluator) Sentence #91 from 00101261 from sent4

Text  : Bóbr był i ciągle jest powszechnie występującym zwierzęciem w Kanadzie ._
Tokens: 1___ 2__ 3 4_____ 5___ 6__________ 7___________ 8__________ 9 10______ 11

Chunks:
  TruePositive nam [10,10] = Kanadzie (confidence=1.00)

(ChunkerEvaluator) Sentence #92 from 00101261 from sent5

Text  : Z nim też związany był rozkwit kolonii .
Tokens: 1 2__ 3__ 4_______ 5__ 6______ 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #93 from 00101261 from sent6

Text  : Bobrowe skórki cieszyły się wielkim powodzeniem na rynkach zbytu ._
Tokens: 1______ 2_____ 3_______ 4__ 5______ 6__________ 7_ 8______ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #94 from 00101261 from sent7

Text  : Bóbr był również symbolem sprytu , przemyślności i inteligencji ._
Tokens: 1___ 2__ 3______ 4_______ 5_____ 6 7____________ 8 9___________ 10

Chunks:
  FalsePositive nam [1,1] = Bóbr (confidence=0.73) (incorrect boundry)

(ChunkerEvaluator) Sentence #95 from 00101261 from sent8

Text  : „ Inżynierskie ” zdolności tego zwierzęcia , jego siła przetrwania i_ pracowitość charakteryzowały także wczesnych Kanadyjczyków ._
Tokens: 1 2___________ 3 4________ 5___ 6_________ 7 8___ 9___ 10_________ 11 12_________ 13______________ 14___ 15_______ 16___________ 17

Chunks:
  TruePositive nam [16,16] = Kanadyjczyków (confidence=0.91)

(ChunkerEvaluator) Sentence #96 from 00101261 from sent9

Text  : Klon jest powszechnie spotykanym drzewem we wschodniej Kanadzie .
Tokens: 1___ 2___ 3__________ 4_________ 5______ 6_ 7_________ 8_______ 9

Chunks:
  TruePositive nam [8,8] = Kanadzie (confidence=0.95)

(ChunkerEvaluator) Sentence #97 from 00101261 from sent10

Text  : Istnieje także jego czerwona odmiana , której liście , gdy są dojrzałe ,_ przyjmują głęboki bordowo -_ czerwony kolor ._
Tokens: 1_______ 2____ 3___ 4_______ 5______ 6 7_____ 8_____ 9 10_ 11 12______ 13 14_______ 15_____ 16_____ 17 18______ 19___ 20

Chunks:

(ChunkerEvaluator) Sentence #98 from 00101261 from sent11

Text  : Klon miał olbrzymie znaczenie gospodarcze dla Indian .
Tokens: 1___ 2___ 3________ 4________ 5__________ 6__ 7_____ 8

Chunks:
  TruePositive nam [7,7] = Indian (confidence=0.94)
  FalsePositive nam [1,1] = Klon (confidence=0.63) (incorrect boundry)

(ChunkerEvaluator) Sentence #99 from 00101261 from sent12

Text  : Odkryli oni , że nacięty pień klonu wydziela sok przezroczysty płyn o_ lekko żółtawym odcieniu i_ mdłym słodkawym smaku ._
Tokens: 1______ 2__ 3 4_ 5______ 6___ 7____ 8_______ 9__ 10___________ 11__ 12 13___ 14______ 15______ 16 17___ 18_______ 19___ 20

Chunks:

(ChunkerEvaluator) Sentence #100 from 00101261 from sent13

Text  : Sok ten , odpowiednio zagęszczony , staje się syropem klonowym ._
Tokens: 1__ 2__ 3 4__________ 5__________ 6 7____ 8__ 9______ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #101 from 00101261 from sent14

Text  : Dla Indian i dla kolonistów syrop klonowy był jedynym źródłem węglowodanów w_ czasie długich i_ srogich kanadyjskich zim ._
Tokens: 1__ 2_____ 3 4__ 5_________ 6____ 7______ 8__ 9______ 10_____ 11__________ 12 13____ 14_____ 15 16_____ 17__________ 18_ 19

Chunks:
  TruePositive nam [2,2] = Indian (confidence=0.94)

(ChunkerEvaluator) Sentence #102 from 00101261 from sent15

Text  : Tak więc i klon stał się symbolem przetrwania .
Tokens: 1__ 2___ 3 4___ 5___ 6__ 7_______ 8__________ 9

Chunks:

(ChunkerEvaluator) Sentence #103 from 00101261 from sent16

Text  : Klonowy liść pierwszy raz jako symbol użyty został już w_ 1834 ._
Tokens: 1______ 2___ 3_______ 4__ 5___ 6_____ 7____ 8_____ 9__ 10 11__ 12

Chunks:

(ChunkerEvaluator) Sentence #104 from 00101261 from sent17

Text  : Oficjalnymi kolorami Kanady są biel i czerwień .
Tokens: 1__________ 2_______ 3_____ 4_ 5___ 6 7_______ 8

Chunks:
  TruePositive nam [3,3] = Kanady (confidence=1.00)

2017-06-14 20:27:40,495 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 8 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101285.xml
(ChunkerEvaluator) Sentence #105 from 00101285 from sent1

Text  : 11 Pułk Piechoty Liniowej Królestwa Kongresowego
Tokens: 1_ 2___ 3_______ 4_______ 5________ 6___________

Chunks:
  FalsePositive nam [1,6] = 11 Pułk Piechoty Liniowej Królestwa Kongresowego (confidence=0.98) (incorrect boundry)
  FalseNegative nam [1,4] = 11 Pułk Piechoty Liniowej
  FalseNegative nam [5,6] = Królestwa Kongresowego

(ChunkerEvaluator) Sentence #106 from 00101285 from sent2

Text  : 11 Pułk Piechoty Liniowej Królestwa Polskiego – polski pułk piechoty okresu powstania listopadowego
Tokens: 1_ 2___ 3_______ 4_______ 5________ 6________ 7 8_____ 9___ 10______ 11____ 12_______ 13___________

Chunks:
  FalsePositive nam [1,6] = 11 Pułk Piechoty Liniowej Królestwa Polskiego (confidence=0.98) (incorrect boundry)
  FalseNegative nam [1,4] = 11 Pułk Piechoty Liniowej
  FalseNegative nam [5,6] = Królestwa Polskiego
  FalseNegative nam [12,13] = powstania listopadowego

(ChunkerEvaluator) Sentence #107 from 00101285 from sent3

Text  : Sformowany rozkazem dyktatora , gen . Józefa Chłopickiego z 10 stycznia 1831 pod nazwą :_ 1_ Pułk Województwa Sandomierskiego ._
Tokens: 1_________ 2_______ 3________ 4 5__ 6 7_____ 8___________ 9 10 11______ 12__ 13_ 14___ 15 16 17__ 18_________ 19_____________ 20

Chunks:
  TruePositive nam [7,8] = Józefa Chłopickiego (confidence=1.00)
  FalsePositive nam [16,19] = 1 Pułk Województwa Sandomierskiego (confidence=0.98) (incorrect boundry)
  FalseNegative nam [16,17] = 1 Pułk
  FalseNegative nam [19,19] = Sandomierskiego

(ChunkerEvaluator) Sentence #108 from 00101285 from sent4

Text  : Pułk otrzymał w ciągu wojny 7 krzyży złotych i 4_ srebrne ._
Tokens: 1___ 2_______ 3 4____ 5____ 6 7_____ 8______ 9 10 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #109 from 00101285 from sent5

Text  : Dowódcy
Tokens: 1______

Chunks:

(ChunkerEvaluator) Sentence #110 from 00101285 from sent6

Text  : Franciszek Młokosiewicz ,
Tokens: 1_________ 2___________ 3

Chunks:
  TruePositive nam [1,2] = Franciszek Młokosiewicz (confidence=1.00)

(ChunkerEvaluator) Sentence #111 from 00101285 from sent7

Text  : Józef Odolski ( od 25 maja 1831 ) .
Tokens: 1____ 2______ 3 4_ 5_ 6___ 7___ 8 9

Chunks:
  TruePositive nam [1,2] = Józef Odolski (confidence=1.00)

(ChunkerEvaluator) Sentence #112 from 00101285 from sent8

Text  : Uzbrojenie
Tokens: 1_________

Chunks:

(ChunkerEvaluator) Sentence #113 from 00101285 from sent9

Text  : Uzbrojenie podstawowe piechurów stanowiły kosy i piki oraz karabiny skałkowe ,_ a_ także tasaki ,_ czyli pałasze piechoty ._
Tokens: 1_________ 2_________ 3________ 4________ 5___ 6 7___ 8___ 9_______ 10______ 11 12 13___ 14____ 15 16___ 17_____ 18______ 19

Chunks:

(ChunkerEvaluator) Sentence #114 from 00101285 from sent10

Text  : Z magazynów Komisji Rządowej Wojny nowe pułki piechoty otrzymywały początkowo przeciętnie 430 karabinów ._
Tokens: 1 2________ 3______ 4_______ 5____ 6___ 7____ 8_______ 9__________ 10________ 11_________ 12_ 13_______ 14

Chunks:
  TruePositive nam [3,5] = Komisji Rządowej Wojny (confidence=1.00)

(ChunkerEvaluator) Sentence #115 from 00101285 from sent11

Text  : Zapewne były to karabiny francuskie wz .
Tokens: 1______ 2___ 3_ 4_______ 5_________ 6_ 7

Chunks:

(ChunkerEvaluator) Sentence #116 from 00101285 from sent12

Text  : 1777 ( kaliber 17 , 5 mm ) , być może rosyjskie z_ fabryk tulskich wz ._
Tokens: 1___ 2 3______ 4_ 5 6 7_ 8 9 10_ 11__ 12_______ 13 14____ 15______ 16 17

Chunks:

(ChunkerEvaluator) Sentence #117 from 00101285 from sent13

Text  : 1811 ( kaliber 17 , 78 mm ) , z_ bagnetami ._
Tokens: 1___ 2 3______ 4_ 5 6_ 7_ 8 9 10 11_______ 12

Chunks:

(ChunkerEvaluator) Sentence #118 from 00101285 from sent14

Text  : W późniejszym okresie uzbrojenie poprawiało się , dzięki broni zdobycznej i_ dostawom karabinów własnej produkcji ._
Tokens: 1 2__________ 3______ 4_________ 5_________ 6__ 7 8_____ 9____ 10________ 11 12______ 13_______ 14_____ 15_______ 16

Chunks:

(ChunkerEvaluator) Sentence #119 from 00101285 from sent15

Text  : Wyposażenie żołnierzy , uzbrojonych w karabiny , uzupełniała ładownica na 40 naboi (_ czasem zastępowana torbą płócienną )_ oraz pochwa na bagnet ._
Tokens: 1__________ 2________ 3 4__________ 5 6_______ 7 8__________ 9________ 10 11 12___ 13 14____ 15_________ 16___ 17_______ 18 19__ 20____ 21 22____ 23

Chunks:

(ChunkerEvaluator) Sentence #120 from 00101285 from sent16

Text  : Umundurowanie
Tokens: 1____________

Chunks:

(ChunkerEvaluator) Sentence #121 from 00101285 from sent17

Text  : Umundurowanie początkowo było niejednolite i powinno składać się , zgodnie ze wspomnianym rozkazem ,_ z_ :_
Tokens: 1____________ 2_________ 3___ 4___________ 5 6______ 7______ 8__ 9 10_____ 11 12_________ 13______ 14 15 16

Chunks:

(ChunkerEvaluator) Sentence #122 from 00101285 from sent18

Text  : wołoszki lub sukmany , najlepiej sukiennej , podszytej płótnem ,_ w_ kolorze zgodnym ze strojem włościańskim w_ danym województwie ,_ z_ kołnierzem w_ kolorze województwa ;_
Tokens: 1_______ 2__ 3______ 4 5________ 6________ 7 8________ 9______ 10 11 12_____ 13_____ 14 15_____ 16__________ 17 18___ 19__________ 20 21 22________ 23 24_____ 25_________ 26

Chunks:

(ChunkerEvaluator) Sentence #123 from 00101285 from sent19

Text  : kaftana lub kożuszka z rękawami , zakrywającego podbrzusze ;
Tokens: 1______ 2__ 3_______ 4 5_______ 6 7____________ 8_________ 9

Chunks:

(ChunkerEvaluator) Sentence #124 from 00101285 from sent20

Text  : spodni sukiennych , płótnem podszytych , szarych lub w kolorze wołoszki ;_
Tokens: 1_____ 2_________ 3 4______ 5_________ 6 7______ 8__ 9 10_____ 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #125 from 00101285 from sent21

Text  : ciżem ( trzewików ) lub butów krótkich ( z krótkimi cholewami )_ ;_
Tokens: 1____ 2 3________ 4 5__ 6____ 7_______ 8 9 10______ 11_______ 12 13

Chunks:

(ChunkerEvaluator) Sentence #126 from 00101285 from sent22

Text  : furażerki z zausznicami , z lampasem ( otokiem ) w_ kolorze województwa ;_
Tokens: 1________ 2 3__________ 4 5 6_______ 7 8______ 9 10 11_____ 12_________ 13

Chunks:

(ChunkerEvaluator) Sentence #127 from 00101285 from sent23

Text  : dwóch halsztuchów ( co można tłumaczyć na " szalik "_ lub "_ krawat "_ )_ czarnych ;_
Tokens: 1____ 2__________ 3 4_ 5____ 6________ 7_ 8 9_____ 10 11_ 12 13____ 14 15 16______ 17

Chunks:

(ChunkerEvaluator) Sentence #128 from 00101285 from sent24

Text  : trzech koszul ;
Tokens: 1_____ 2_____ 3

Chunks:

(ChunkerEvaluator) Sentence #129 from 00101285 from sent25

Text  : pary rękawiczek bez palców ;
Tokens: 1___ 2_________ 3__ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #130 from 00101285 from sent26

Text  : dwóch par gatek ( kalesonów ) płóciennych .
Tokens: 1____ 2__ 3____ 4 5________ 6 7__________ 8

Chunks:

(ChunkerEvaluator) Sentence #131 from 00101285 from sent27

Text  : W późniejszym okresie , po przejściu na etat Komisji Rządowej Wojny ,_ umundurowanie zostało ujednolicone i_ składało się z_ białej wołoszki z_ niebieskimi wyłogami rękawów ,_ naramiennikami i_ kołnierzem ,_ spodni granatowych z_ niebieską wypustką oraz granatowej furażerki z_ niebieskim otokiem i_ wypustką ._
Tokens: 1 2__________ 3______ 4 5_ 6________ 7_ 8___ 9______ 10______ 11___ 12 13___________ 14_____ 15__________ 16 17______ 18_ 19 20____ 21______ 22 23_________ 24______ 25_____ 26 27____________ 28 29________ 30 31____ 32_________ 33 34_______ 35______ 36__ 37________ 38_______ 39 40________ 41_____ 42 43______ 44

Chunks:
  TruePositive nam [9,11] = Komisji Rządowej Wojny (confidence=1.00)

(ChunkerEvaluator) Sentence #132 from 00101285 from sent28

Text  : Pasy i trzewiki czarne .
Tokens: 1___ 2 3_______ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #133 from 00101285 from sent29

Text  : Liczebność pułku
Tokens: 1_________ 2____

Chunks:

(ChunkerEvaluator) Sentence #134 from 00101285 from sent30

Text  : Wg etatu pułk miał liczyć 2695 ludzi , rekrutowanych (_ podobnie jak 12 PPL )_ z_ Gwardii Ruchomej Województwa Sandomierskiego ._
Tokens: 1_ 2____ 3___ 4___ 5_____ 6___ 7____ 8 9____________ 10 11______ 12_ 13 14_ 15 16 17_____ 18______ 19_________ 20_____________ 21

Chunks:
  FalsePositive nam [14,14] = PPL (confidence=0.95) (incorrect boundry)
  FalsePositive nam [17,20] = Gwardii Ruchomej Województwa Sandomierskiego (confidence=0.98) (incorrect boundry)
  FalseNegative nam [13,14] = 12 PPL
  FalseNegative nam [17,18] = Gwardii Ruchomej
  FalseNegative nam [20,20] = Sandomierskiego

(ChunkerEvaluator) Sentence #135 from 00101285 from sent31

Text  : Zgodnie z raportem Regimentarza Lewego Brzegu Wisły z 9 stycznia 1831 Gwardia Ruchoma w_ tym województwie liczyła 6041 rekrutów ._
Tokens: 1______ 2 3_______ 4___________ 5_____ 6_____ 7____ 8 9 10______ 11__ 12_____ 13_____ 14 15_ 16__________ 17_____ 18__ 19______ 20

Chunks:
  TruePositive nam [4,7] = Regimentarza Lewego Brzegu Wisły (confidence=0.90)
  TruePositive nam [12,13] = Gwardia Ruchoma (confidence=0.86)

(ChunkerEvaluator) Sentence #136 from 00101285 from sent32

Text  : Pod koniec stycznia pułk liczył 2030 żołnierzy .
Tokens: 1__ 2_____ 3_______ 4___ 5_____ 6___ 7________ 8

Chunks:

(ChunkerEvaluator) Sentence #137 from 00101285 from sent33

Text  : W wykazach Komisji Wojskowej Rządu " Stan obecnych do boju "_ pojawia się 31 marca 1831 roku w_ liczbie 1712 żołnierzy (_ 2_ bataliony )_ w_ składzie korpusu Sierawskiego ,_ następnie Dziekońskiego w_ sandomierskiem ._
Tokens: 1 2_______ 3______ 4________ 5____ 6 7___ 8_______ 9_ 10__ 11 12_____ 13_ 14 15___ 16__ 17__ 18 19_____ 20__ 21_______ 22 23 24_______ 25 26 27______ 28_____ 29__________ 30 31_______ 32___________ 33 34____________ 35

Chunks:
  TruePositive nam [29,29] = Sierawskiego (confidence=0.90)
  TruePositive nam [32,32] = Dziekońskiego (confidence=1.00)
  FalsePositive nam [3,10] = Komisji Wojskowej Rządu " Stan obecnych do boju (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,5] = Komisji Wojskowej Rządu
  FalseNegative nam [7,10] = Stan obecnych do boju
  FalseNegative nam [34,34] = sandomierskiem

(ChunkerEvaluator) Sentence #138 from 00101285 from sent34

Text  : 4 kwietnia liczy 1719 ludzi , 20 kwietnia – 1690 ._
Tokens: 1 2_______ 3____ 4___ 5____ 6 7_ 8_______ 9 10__ 11

Chunks:

(ChunkerEvaluator) Sentence #139 from 00101285 from sent35

Text  : Od 6 maja wykazywany jest w składzie 3 batalionów ,_ 1909 ludzi ._
Tokens: 1_ 2 3___ 4_________ 5___ 6 7_______ 8 9_________ 10 11__ 12___ 13

Chunks:

(ChunkerEvaluator) Sentence #140 from 00101285 from sent36

Text  : Potem jego liczebność wzrasta do 1912 ludzi 8 maja ,_ 2049 –_ 5_ czerwca i_ 2066 –_ 6_ lipca ._
Tokens: 1____ 2___ 3_________ 4______ 5_ 6___ 7____ 8 9___ 10 11__ 12 13 14_____ 15 16__ 17 18 19___ 20

Chunks:

(ChunkerEvaluator) Sentence #141 from 00101285 from sent37

Text  : Wtedy był włączony w skład grupy gen . Ramoriny ._
Tokens: 1____ 2__ 3_______ 4 5____ 6____ 7__ 8 9_______ 10

Chunks:
  TruePositive nam [9,9] = Ramoriny (confidence=0.99)

(ChunkerEvaluator) Sentence #142 from 00101285 from sent38

Text  : 22 sierpnia liczył 1617 ludzi w 3 batalionach w składzie VI DP gen ._ Bielskiego ,_ ponadto 70 w_ garnizonie warszawskim ._
Tokens: 1_ 2_______ 3_____ 4___ 5____ 6 7 8__________ 9 10______ 11 12 13_ 14 15________ 16 17_____ 18 19 20________ 21_________ 22

Chunks:
  TruePositive nam [11,12] = VI DP (confidence=0.67)
  TruePositive nam [15,15] = Bielskiego (confidence=0.99)

(ChunkerEvaluator) Sentence #143 from 00101285 from sent39

Text  : Złożył broń wraz z korpusem Ramoriny 18 września 1831 na granicy austriackiej ._
Tokens: 1_____ 2___ 3___ 4 5_______ 6_______ 7_ 8_______ 9___ 10 11_____ 12__________ 13

Chunks:
  TruePositive nam [6,6] = Ramoriny (confidence=0.95)

2017-06-14 20:27:40,628 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 9 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101293.xml
(ChunkerEvaluator) Sentence #144 from 00101293 from sent1

Text  : Telatycki ( herb szlachecki )
Tokens: 1________ 2 3___ 4_________ 5

Chunks:
  FalseNegative nam [1,1] = Telatycki

(ChunkerEvaluator) Sentence #145 from 00101293 from sent2

Text  : Telatycki - polski herb szlachecki , odmiana herbu Belina ._
Tokens: 1________ 2 3_____ 4___ 5_________ 6 7______ 8____ 9_____ 10

Chunks:
  TruePositive nam [1,1] = Telatycki (confidence=0.99)
  TruePositive nam [9,9] = Belina (confidence=1.00)

(ChunkerEvaluator) Sentence #146 from 00101293 from sent3

Text  : Blazonowanie
Tokens: 1___________

Chunks:

(ChunkerEvaluator) Sentence #147 from 00101293 from sent4

Text  : W polu błękitnym trzy podkowy srebrne , dwie nad jedną ._
Tokens: 1 2___ 3________ 4___ 5______ 6______ 7 8___ 9__ 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #148 from 00101293 from sent5

Text  : Klejnot : trzy pióra strusie .
Tokens: 1______ 2 3___ 4____ 5______ 6

Chunks:

(ChunkerEvaluator) Sentence #149 from 00101293 from sent6

Text  : W innej wersji ramię zbrojne , wznoszące miecz .
Tokens: 1 2____ 3_____ 4____ 5______ 6 7________ 8____ 9

Chunks:

(ChunkerEvaluator) Sentence #150 from 00101293 from sent7

Text  : Najwcześniejsze wzmianki
Tokens: 1______________ 2_______

Chunks:

(ChunkerEvaluator) Sentence #151 from 00101293 from sent8

Text  : Nieznana geneza odmiany .
Tokens: 1_______ 2_____ 3______ 4

Chunks:

(ChunkerEvaluator) Sentence #152 from 00101293 from sent9

Text  : Herbowni
Tokens: 1_______

Chunks:
  FalsePositive nam [1,1] = Herbowni (confidence=0.53) (incorrect boundry)

(ChunkerEvaluator) Sentence #153 from 00101293 from sent10

Text  : Lewusz , Lewusza , Telatycki .
Tokens: 1_____ 2 3______ 4 5________ 6

Chunks:
  TruePositive nam [1,1] = Lewusz (confidence=0.73)
  TruePositive nam [3,3] = Lewusza (confidence=1.00)
  TruePositive nam [5,5] = Telatycki (confidence=1.00)

2017-06-14 20:27:40,643 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 10 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101334.xml
(ChunkerEvaluator) Sentence #154 from 00101334 from sent1

Text  : Działania bojowe
Tokens: 1________ 2_____

Chunks:

(ChunkerEvaluator) Sentence #155 from 00101334 from sent2

Text  : Działania bojowe - to uderzenie na wojska przeciwnika bądź odparcie jego uderzeń ._
Tokens: 1________ 2_____ 3 4_ 5________ 6_ 7_____ 8__________ 9___ 10______ 11__ 12_____ 13

Chunks:

(ChunkerEvaluator) Sentence #156 from 00101334 from sent3

Text  : Ich rezultatem jest doprowadzenie do rozbicia ( obezwładnienia ) wojsk nieprzyjaciela oraz opanowanie określonego rejonu lub utrzymanie własnego ._
Tokens: 1__ 2_________ 3___ 4____________ 5_ 6_______ 7 8_____________ 9 10___ 11____________ 12__ 13________ 14_________ 15____ 16_ 17________ 18______ 19

Chunks:

(ChunkerEvaluator) Sentence #157 from 00101334 from sent4

Text  : Działania wojsk różnią się pod względem celów , zadań i_ sposobów ich prowadzenia oraz zasad wykorzystania posiadanych sił i_ środków ._
Tokens: 1________ 2____ 3_____ 4__ 5__ 6_______ 7____ 8 9____ 10 11______ 12_ 13_________ 14__ 15___ 16___________ 17_________ 18_ 19 20_____ 21

Chunks:

(ChunkerEvaluator) Sentence #158 from 00101334 from sent5

Text  : Mówimy wtedy o rodzajach działań bojowych .
Tokens: 1_____ 2____ 3 4________ 5______ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #159 from 00101334 from sent6

Text  : Rodzaje działań bojowych
Tokens: 1______ 2______ 3_______

Chunks:

(ChunkerEvaluator) Sentence #160 from 00101334 from sent7

Text  : Do podstawowych rodzajów działań bojowych zaliczamy :
Tokens: 1_ 2___________ 3_______ 4______ 5_______ 6________ 7

Chunks:

(ChunkerEvaluator) Sentence #161 from 00101334 from sent8

Text  : natarcie ;
Tokens: 1_______ 2

Chunks:

(ChunkerEvaluator) Sentence #162 from 00101334 from sent9

Text  : obronę .
Tokens: 1_____ 2

Chunks:

(ChunkerEvaluator) Sentence #163 from 00101334 from sent10

Text  : Ponadto wyróżnia się działania :
Tokens: 1______ 2_______ 3__ 4________ 5

Chunks:

(ChunkerEvaluator) Sentence #164 from 00101334 from sent11

Text  : odwrotowe ;
Tokens: 1________ 2

Chunks:

(ChunkerEvaluator) Sentence #165 from 00101334 from sent12

Text  : opóźniające ;
Tokens: 1__________ 2

Chunks:

(ChunkerEvaluator) Sentence #166 from 00101334 from sent13

Text  : rajdowe ;
Tokens: 1______ 2

Chunks:

(ChunkerEvaluator) Sentence #167 from 00101334 from sent14

Text  : desantowe ;
Tokens: 1________ 2

Chunks:

(ChunkerEvaluator) Sentence #168 from 00101334 from sent15

Text  : dywersyjne ;
Tokens: 1_________ 2

Chunks:

(ChunkerEvaluator) Sentence #169 from 00101334 from sent16

Text  : partyzanckie ;
Tokens: 1___________ 2

Chunks:

(ChunkerEvaluator) Sentence #170 from 00101334 from sent17

Text  : działania bojowe lotnictwa ;
Tokens: 1________ 2_____ 3________ 4

Chunks:

(ChunkerEvaluator) Sentence #171 from 00101334 from sent18

Text  : działania bojowe marynarki wojennej ;
Tokens: 1________ 2_____ 3________ 4_______ 5

Chunks:

(ChunkerEvaluator) Sentence #172 from 00101334 from sent19

Text  : powietrznodesantowe ;
Tokens: 1__________________ 2

Chunks:

(ChunkerEvaluator) Sentence #173 from 00101334 from sent20

Text  : przeciwdywersyjne .
Tokens: 1________________ 2

Chunks:

2017-06-14 20:27:40,673 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 11 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101344.xml
(ChunkerEvaluator) Sentence #174 from 00101344 from sent1

Text  : Henrykowo ( powiat lidzbarski )
Tokens: 1________ 2 3_____ 4_________ 5

Chunks:
  TruePositive nam [1,1] = Henrykowo (confidence=1.00)
  TruePositive nam [4,4] = lidzbarski (confidence=0.99)

(ChunkerEvaluator) Sentence #175 from 00101344 from sent2

Text  : Henrykowo ( niem . Heinrikau ) – wieś w Polsce położona w_ województwie warmińsko -_ mazurskim ,_ w_ powiecie lidzbarskim ,_ w_ gminie Orneta ._
Tokens: 1________ 2 3___ 4 5________ 6 7 8___ 9 10____ 11______ 12 13__________ 14_______ 15 16_______ 17 18 19______ 20_________ 21 22 23____ 24____ 25

Chunks:
  TruePositive nam [1,1] = Henrykowo (confidence=1.00)
  TruePositive nam [5,5] = Heinrikau (confidence=1.00)
  TruePositive nam [10,10] = Polsce (confidence=1.00)
  TruePositive nam [14,16] = warmińsko - mazurskim (confidence=0.99)
  TruePositive nam [20,20] = lidzbarskim (confidence=0.99)
  TruePositive nam [24,24] = Orneta (confidence=1.00)

(ChunkerEvaluator) Sentence #176 from 00101344 from sent3

Text  : W latach 1975 - 1998 miejscowość administracyjnie należała do województwa elbląskiego ._
Tokens: 1 2_____ 3___ 4 5___ 6__________ 7_______________ 8_______ 9_ 10_________ 11_________ 12

Chunks:
  TruePositive nam [11,11] = elbląskiego (confidence=0.99)

(ChunkerEvaluator) Sentence #177 from 00101344 from sent4

Text  : Przez miejscowość przebiega droga wojewódzka nr 507 .
Tokens: 1____ 2__________ 3________ 4____ 5_________ 6_ 7__ 8

Chunks:
  TruePositive nam [4,7] = droga wojewódzka nr 507 (confidence=0.71)

(ChunkerEvaluator) Sentence #178 from 00101344 from sent5

Text  : Historia
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #179 from 00101344 from sent6

Text  : Wieś założona została około 1304 najprawdopodobniej przez Henryka Laberyka i_ wymieniana była już z_ kościołem roku 1312 i_ 1316 ._
Tokens: 1___ 2_______ 3______ 4____ 5___ 6_________________ 7____ 8______ 9_______ 10 11________ 12__ 13_ 14 15_______ 16__ 17__ 18 19__ 20

Chunks:
  TruePositive nam [8,9] = Henryka Laberyka (confidence=1.00)

(ChunkerEvaluator) Sentence #180 from 00101344 from sent7

Text  : Ponownej lokacji w roku 1326 na obszarze 113 włók dokonała kapituła warmińska ._
Tokens: 1_______ 2______ 3 4___ 5___ 6_ 7_______ 8__ 9___ 10______ 11______ 12_______ 13

Chunks:
  FalseNegative nam [11,12] = kapituła warmińska

(ChunkerEvaluator) Sentence #181 from 00101344 from sent8

Text  : Sołtysem Henrykowa został wówczas Gerard .
Tokens: 1_______ 2________ 3_____ 4______ 5_____ 6

Chunks:
  TruePositive nam [2,2] = Henrykowa (confidence=0.95)
  TruePositive nam [5,5] = Gerard (confidence=1.00)

(ChunkerEvaluator) Sentence #182 from 00101344 from sent9

Text  : Wieś została zniszczona w czasie wojny głodowej i wojny trzynastoletniej ._
Tokens: 1___ 2______ 3_________ 4 5_____ 6____ 7_______ 8 9____ 10______________ 11

Chunks:
  FalsePositive nam [6,10] = wojny głodowej i wojny trzynastoletniej (confidence=0.83) (incorrect boundry)
  FalseNegative nam [6,7] = wojny głodowej
  FalseNegative nam [9,10] = wojny trzynastoletniej

(ChunkerEvaluator) Sentence #183 from 00101344 from sent10

Text  : W roku 1656 w Henrykowie użytkowane było 107 włók ._
Tokens: 1 2___ 3___ 4 5_________ 6_________ 7___ 8__ 9___ 10

Chunks:
  TruePositive nam [5,5] = Henrykowie (confidence=1.00)

(ChunkerEvaluator) Sentence #184 from 00101344 from sent11

Text  : W tym roku było tu trzech sołtysów , 23 gospodarstwa chłopskie i_ kilku zagrodników ._
Tokens: 1 2__ 3___ 4___ 5_ 6_____ 7_______ 8 9_ 10__________ 11_______ 12 13___ 14_________ 15

Chunks:

(ChunkerEvaluator) Sentence #185 from 00101344 from sent12

Text  : Kościół
Tokens: 1______

Chunks:
  FalsePositive nam [1,1] = Kościół (confidence=0.89) (incorrect boundry)

(ChunkerEvaluator) Sentence #186 from 00101344 from sent13

Text  : Obecny kościół był wybudowany w drugiej połowie XIV wieku ._
Tokens: 1_____ 2______ 3__ 4_________ 5 6______ 7______ 8__ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #187 from 00101344 from sent14

Text  : Kościół pw . św . Katarzyny był ponownie konsekrowany w_ 1501 r_ ._
Tokens: 1______ 2_ 3 4_ 5 6________ 7__ 8_______ 9___________ 10 11__ 12 13

Chunks:
  FalsePositive nam [6,6] = Katarzyny (confidence=0.58) (incorrect boundry)
  FalseNegative nam [1,6] = Kościół pw . św . Katarzyny

(ChunkerEvaluator) Sentence #188 from 00101344 from sent15

Text  : Drewnianą wieżę wymieniono na murowaną w roku 1715 .
Tokens: 1________ 2____ 3_________ 4_ 5_______ 6 7___ 8___ 9

Chunks:

(ChunkerEvaluator) Sentence #189 from 00101344 from sent16

Text  : Odnawiany był w latach 1721 , 1795 , 1886 i_ w_ roku 1960 ._
Tokens: 1________ 2__ 3 4_____ 5___ 6 7___ 8 9___ 10 11 12__ 13__ 14

Chunks:

(ChunkerEvaluator) Sentence #190 from 00101344 from sent17

Text  : Ten ostatni remont związany był z usuwaniem skutków zniszczeń z_ 1945 roku ._
Tokens: 1__ 2______ 3_____ 4_______ 5__ 6 7________ 8______ 9________ 10 11__ 12__ 13

Chunks:

(ChunkerEvaluator) Sentence #191 from 00101344 from sent18

Text  : Jest to kościół salowy z gotycką zakrystią od północy i_ kruchtą od południa ._
Tokens: 1___ 2_ 3______ 4_____ 5 6______ 7________ 8_ 9______ 10 11_____ 12 13______ 14

Chunks:

(ChunkerEvaluator) Sentence #192 from 00101344 from sent19

Text  : Ołtarz główny z około 1800 wykonany w pracowni Christiana Beniamina Szultza ._
Tokens: 1_____ 2_____ 3 4____ 5___ 6_______ 7 8_______ 9_________ 10_______ 11_____ 12

Chunks:
  FalsePositive nam [9,9] = Christiana (confidence=1.00) (incorrect boundry)
  FalsePositive nam [10,11] = Beniamina Szultza (confidence=0.50) (incorrect boundry)
  FalseNegative nam [9,11] = Christiana Beniamina Szultza

(ChunkerEvaluator) Sentence #193 from 00101344 from sent20

Text  : Ołtarz ten i ołtarze boczne poświęcone były w 1805 przez biskupa pomocniczego Andrzeja von Hattena ._
Tokens: 1_____ 2__ 3 4______ 5_____ 6_________ 7___ 8 9___ 10___ 11_____ 12__________ 13______ 14_ 15_____ 16

Chunks:
  TruePositive nam [13,15] = Andrzeja von Hattena (confidence=1.00)

(ChunkerEvaluator) Sentence #194 from 00101344 from sent21

Text  : W ołtarzu głównym znajdują się obrazy J . Pipera :_ "_ Koronacja św ._ Katarzyny ,_ św ._ Maria Magdalena ,_ św ._ Józef z_ Dzieciątkiem ._
Tokens: 1 2______ 3______ 4_______ 5__ 6_____ 7 8 9_____ 10 11 12_______ 13 14 15_______ 16 17 18 19___ 20_______ 21 22 23 24___ 25 26__________ 27

Chunks:
  TruePositive nam [7,9] = J . Pipera (confidence=1.00)
  TruePositive nam [12,15] = Koronacja św . Katarzyny (confidence=0.99)
  FalsePositive nam [19,20] = Maria Magdalena (confidence=1.00) (incorrect boundry)
  FalsePositive nam [24,24] = Józef (confidence=0.99) (incorrect boundry)
  FalsePositive nam [26,26] = Dzieciątkiem (confidence=0.70) (incorrect boundry)
  FalseNegative nam [17,20] = św . Maria Magdalena
  FalseNegative nam [22,26] = św . Józef z Dzieciątkiem

(ChunkerEvaluator) Sentence #195 from 00101344 from sent22

Text  : W kościele znajduje się klasycystyczna ambona z około 1800 roku oraz znacznie starsza granitowa chrzcielnica ._
Tokens: 1 2_______ 3_______ 4__ 5_____________ 6_____ 7 8____ 9___ 10__ 11__ 12______ 13_____ 14_______ 15__________ 16

Chunks:

(ChunkerEvaluator) Sentence #196 from 00101344 from sent23

Text  : W kościele znajdują się także barokowe obrazy m . in ._ Zdjęcie z_ Krzyża oraz św ._ Antoni uzdrawiający chorego z_ autoportretem wykonawcy Piotra Kolberga ._
Tokens: 1 2_______ 3_______ 4__ 5____ 6_______ 7_____ 8 9 10 11 12_____ 13 14____ 15__ 16 17 18____ 19__________ 20_____ 21 22___________ 23_______ 24____ 25______ 26

Chunks:
  TruePositive nam [24,25] = Piotra Kolberga (confidence=1.00)
  FalsePositive nam [14,14] = Krzyża (confidence=0.94) (incorrect boundry)
  FalsePositive nam [18,18] = Antoni (confidence=0.98) (incorrect boundry)
  FalseNegative nam [12,14] = Zdjęcie z Krzyża
  FalseNegative nam [16,20] = św . Antoni uzdrawiający chorego

(ChunkerEvaluator) Sentence #197 from 00101344 from sent24

Text  : Na uwagę zasługuje tu barokowy krucyfiks z około 1700 roku oraz gotycki kielich z_ XV w_ ._
Tokens: 1_ 2____ 3________ 4_ 5_______ 6________ 7 8____ 9___ 10__ 11__ 12_____ 13_____ 14 15 16 17

Chunks:

(ChunkerEvaluator) Sentence #198 from 00101344 from sent25

Text  : Demografia
Tokens: 1_________

Chunks:

(ChunkerEvaluator) Sentence #199 from 00101344 from sent26

Text  : W roku 1783 było tu 87 domów .
Tokens: 1 2___ 3___ 4___ 5_ 6_ 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #200 from 00101344 from sent27

Text  : Liczba mieszkańców kształtowała się następująco : w roku 1818 -_ 465 osób ,_ w_ 1939 -_ 798 ,_ w_ 1999 -_ 430 ._
Tokens: 1_____ 2__________ 3___________ 4__ 5__________ 6 7 8___ 9___ 10 11_ 12__ 13 14 15__ 16 17_ 18 19 20__ 21 22_ 23

Chunks:

(ChunkerEvaluator) Sentence #201 from 00101344 from sent28

Text  : Inne
Tokens: 1___

Chunks:

(ChunkerEvaluator) Sentence #202 from 00101344 from sent29

Text  : W Henrykowie urodził się teolog Bernhard Poschmann ( 1878 -_ 1955 )_ ._
Tokens: 1 2_________ 3______ 4__ 5_____ 6_______ 7________ 8 9___ 10 11__ 12 13

Chunks:
  TruePositive nam [2,2] = Henrykowie (confidence=1.00)
  TruePositive nam [6,7] = Bernhard Poschmann (confidence=1.00)

2017-06-14 20:27:40,944 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 12 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101374.xml
(ChunkerEvaluator) Sentence #203 from 00101374 from sent1

Text  : Lotnictwo bombowe
Tokens: 1________ 2______

Chunks:

(ChunkerEvaluator) Sentence #204 from 00101374 from sent2

Text  : Lotnictwo bombowe - rodzaj lotnictwa wojskowego , stanowiący główną lotniczą siłę uderzeniową ._
Tokens: 1________ 2______ 3 4_____ 5________ 6_________ 7 8_________ 9_____ 10______ 11__ 12_________ 13

Chunks:

(ChunkerEvaluator) Sentence #205 from 00101374 from sent3

Text  : Przeznaczone do niszczenia z powietrza obiektów naziemnych i morskich bombami i_ rakietami ._
Tokens: 1___________ 2_ 3_________ 4 5________ 6_______ 7_________ 8 9_______ 10_____ 11 12_______ 13

Chunks:

(ChunkerEvaluator) Sentence #206 from 00101374 from sent4

Text  : Zadania wykonuje samodzielnie oraz we współdziałaniu z innymi rodzajami lotnictwa ,_ jednostkami rakietowymi i_ ogólnowojskowymi związkami taktycznymi i_ operacyjnymi ._
Tokens: 1______ 2_______ 3___________ 4___ 5_ 6_____________ 7 8_____ 9________ 10_______ 11 12_________ 13_________ 14 15______________ 16_______ 17_________ 18 19__________ 20

Chunks:

(ChunkerEvaluator) Sentence #207 from 00101374 from sent5

Text  : Ze względu na charakter wykonywanych zadań dzieli się na taktyczne i_ dalekiego zasięgu ._
Tokens: 1_ 2______ 3_ 4________ 5___________ 6____ 7_____ 8__ 9_ 10_______ 11 12_______ 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #208 from 00101374 from sent6

Text  : Taktyczne lotnictwo bombowe współdziała z wojskami frontu , a dalekiego zasięgu przeznaczone jest do zwalczania obiektów o_ znaczeniu strategicznym ,_ położonych na głębokim zapleczu nieprzyjaciela ._
Tokens: 1________ 2________ 3______ 4__________ 5 6_______ 7_____ 8 9 10_______ 11_____ 12__________ 13__ 14 15________ 16______ 17 18_______ 19___________ 20 21________ 22 23______ 24______ 25____________ 26

Chunks:

(ChunkerEvaluator) Sentence #209 from 00101374 from sent7

Text  : Zorganizowane jest w dywizje , brygady , korpusy , a_ niekiedy armie ._
Tokens: 1____________ 2___ 3 4______ 5 6______ 7 8______ 9 10 11______ 12___ 13

Chunks:

(ChunkerEvaluator) Sentence #210 from 00101374 from sent8

Text  : Głównym zadaniem lotnictwa bombowego jest :
Tokens: 1______ 2_______ 3________ 4________ 5___ 6

Chunks:

(ChunkerEvaluator) Sentence #211 from 00101374 from sent9

Text  : niszczenie i obezwładnienie nieprzyjaciela
Tokens: 1_________ 2 3_____________ 4_____________

Chunks:

(ChunkerEvaluator) Sentence #212 from 00101374 from sent10

Text  : zwalczanie ośrodków broni jądrowej i wyrzutni pocisków rakietowych
Tokens: 1_________ 2_______ 3____ 4_______ 5 6_______ 7_______ 8__________

Chunks:

(ChunkerEvaluator) Sentence #213 from 00101374 from sent11

Text  : niszczenie lotnictwa nieprzyjaciela na lotniskach
Tokens: 1_________ 2________ 3_____________ 4_ 5_________

Chunks:

(ChunkerEvaluator) Sentence #214 from 00101374 from sent12

Text  : zwalczanie i niszczenie jego ośrodków gospodarczych i politycznych .
Tokens: 1_________ 2 3_________ 4___ 5_______ 6____________ 7 8___________ 9

Chunks:

2017-06-14 20:27:40,980 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 13 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101388.xml
(ChunkerEvaluator) Sentence #215 from 00101388 from sent1

Text  : Bloomsbury Market
Tokens: 1_________ 2_____

Chunks:
  TruePositive nam [1,2] = Bloomsbury Market (confidence=0.98)

(ChunkerEvaluator) Sentence #216 from 00101388 from sent2

Text  : Bloomsbury Market – angielski country - dance skomponowany w 1703 roku ._
Tokens: 1_________ 2_____ 3 4________ 5______ 6 7____ 8___________ 9 10__ 11__ 12

Chunks:
  TruePositive nam [1,2] = Bloomsbury Market (confidence=0.99)

(ChunkerEvaluator) Sentence #217 from 00101388 from sent3

Text  : Wesołe rytmy tego tańca opiewają bogactwo i dostatek handlowej dzielnicy Londynu Bloomsbury ._
Tokens: 1_____ 2____ 3___ 4____ 5_______ 6_______ 7 8_______ 9________ 10_______ 11_____ 12________ 13

Chunks:
  FalsePositive nam [11,12] = Londynu Bloomsbury (confidence=1.00) (incorrect boundry)
  FalseNegative nam [11,11] = Londynu
  FalseNegative nam [12,12] = Bloomsbury

2017-06-14 20:27:40,988 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 14 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101464.xml
(ChunkerEvaluator) Sentence #218 from 00101464 from sent1

Text  : Pomnik Karola Linneusza
Tokens: 1_____ 2_____ 3________

Chunks:
  TruePositive nam [2,3] = Karola Linneusza (confidence=0.72)

(ChunkerEvaluator) Sentence #219 from 00101464 from sent2

Text  : Pomnik Karola Linneusza we Wrocławiu , to pomnik upamiętniający osobę Karola Linneusza ._
Tokens: 1_____ 2_____ 3________ 4_ 5________ 6 7_ 8_____ 9_____________ 10___ 11____ 12_______ 13

Chunks:
  TruePositive nam [2,3] = Karola Linneusza (confidence=0.82)
  TruePositive nam [5,5] = Wrocławiu (confidence=1.00)
  TruePositive nam [11,12] = Karola Linneusza (confidence=1.00)

(ChunkerEvaluator) Sentence #220 from 00101464 from sent3

Text  : Jego autorem był Albert Rachner .
Tokens: 1___ 2______ 3__ 4_____ 5______ 6

Chunks:
  TruePositive nam [4,5] = Albert Rachner (confidence=1.00)

(ChunkerEvaluator) Sentence #221 from 00101464 from sent4

Text  : Wybudowany został w 1871 roku , a jego odsłonięcie nastąpiło 23 maja 1871 r_ ._
Tokens: 1_________ 2_____ 3 4___ 5___ 6 7 8___ 9__________ 10_______ 11 12__ 13__ 14 15

Chunks:

(ChunkerEvaluator) Sentence #222 from 00101464 from sent5

Text  : .
Tokens: 1

Chunks:

(ChunkerEvaluator) Sentence #223 from 00101464 from sent6

Text  : Fundatorem pomnika w 1870 r . był Moritz Wesel ._
Tokens: 1_________ 2______ 3 4___ 5 6 7__ 8_____ 9____ 10

Chunks:
  TruePositive nam [8,9] = Moritz Wesel (confidence=1.00)

(ChunkerEvaluator) Sentence #224 from 00101464 from sent7

Text  : Pomnik ma postać popiersia ustawionego na postumencie .
Tokens: 1_____ 2_ 3_____ 4________ 5__________ 6_ 7__________ 8

Chunks:

(ChunkerEvaluator) Sentence #225 from 00101464 from sent8

Text  : W odniesieniu do tego typu pomników stosuje się określenie :_ pomnik portretowy ._
Tokens: 1 2__________ 3_ 4___ 5___ 6_______ 7______ 8__ 9_________ 10 11____ 12________ 13

Chunks:

(ChunkerEvaluator) Sentence #226 from 00101464 from sent9

Text  : Pomnik znajduje się we wrocławskim Ogrodzie Botanicznym , w dziale systematyki roślin ._
Tokens: 1_____ 2_______ 3__ 4_ 5__________ 6_______ 7__________ 8 9 10____ 11_________ 12____ 13

Chunks:
  TruePositive nam [6,7] = Ogrodzie Botanicznym (confidence=0.93)

(ChunkerEvaluator) Sentence #227 from 00101464 from sent10

Text  : Usytuowany jest w miejscu zbiegania się kilku alej ogrodowych ._
Tokens: 1_________ 2___ 3 4______ 5________ 6__ 7____ 8___ 9_________ 10

Chunks:

(ChunkerEvaluator) Sentence #228 from 00101464 from sent11

Text  : Pomnik wykonany został z piaskowca .
Tokens: 1_____ 2_______ 3_____ 4 5________ 6

Chunks:

(ChunkerEvaluator) Sentence #229 from 00101464 from sent12

Text  : Ma formę popiersia ustawionego na postumencie z cegieł o wysokości 2_ m_ ._
Tokens: 1_ 2____ 3________ 4__________ 5_ 6__________ 7 8_____ 9 10_______ 11 12 13

Chunks:

(ChunkerEvaluator) Sentence #230 from 00101464 from sent13

Text  : Na cokole tym widnieje podpis : " Linné " ._
Tokens: 1_ 2_____ 3__ 4_______ 5_____ 6 7 8____ 9 10

Chunks:
  TruePositive nam [8,8] = Linné (confidence=0.90)

(ChunkerEvaluator) Sentence #231 from 00101464 from sent14

Text  : U dołu postumentu znajduje się także inskrypcja dotycząca fundatora ._
Tokens: 1 2___ 3_________ 4_______ 5__ 6____ 7_________ 8________ 9________ 10

Chunks:

(ChunkerEvaluator) Sentence #232 from 00101464 from sent15

Text  : W czasie II wojny światowej w wyniku działań wojennych pomnik uległ lekkim uszkodzeniom ._
Tokens: 1 2_____ 3_ 4____ 5________ 6 7_____ 8______ 9________ 10____ 11___ 12____ 13__________ 14

Chunks:
  TruePositive nam [3,5] = II wojny światowej (confidence=1.00)

(ChunkerEvaluator) Sentence #233 from 00101464 from sent16

Text  : Ubytki w popiersiu uzupełnił Antonio Comolli .
Tokens: 1_____ 2 3________ 4________ 5______ 6______ 7

Chunks:
  TruePositive nam [5,6] = Antonio Comolli (confidence=1.00)

(ChunkerEvaluator) Sentence #234 from 00101464 from sent17

Text  : Dalsza , sukcesywna degradacja pomnika z biegiem czasu wymusiła przeniesienie w_ 2001 r_ ._ oryginału popiersia do zamkniętego pomieszczenia sali wykładowej i_ poddanie dzieła konserwacji ._
Tokens: 1_____ 2 3_________ 4_________ 5______ 6 7______ 8____ 9_______ 10___________ 11 12__ 13 14 15_______ 16_______ 17 18_________ 19___________ 20__ 21________ 22 23______ 24____ 25_________ 26

Chunks:

(ChunkerEvaluator) Sentence #235 from 00101464 from sent18

Text  : Na cokole ustawiono natomiast nową rzeźbę , wykonaną przez prof ._ Bohdana Chmielewskiego ._
Tokens: 1_ 2_____ 3________ 4________ 5___ 6_____ 7 8_______ 9____ 10__ 11 12_____ 13____________ 14

Chunks:
  TruePositive nam [12,13] = Bohdana Chmielewskiego (confidence=1.00)

2017-06-14 20:27:41,040 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 15 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101469.xml
(ChunkerEvaluator) Sentence #236 from 00101469 from sent1

Text  : Paolo Romeo
Tokens: 1____ 2____

Chunks:
  TruePositive nam [1,2] = Paolo Romeo (confidence=0.96)

(ChunkerEvaluator) Sentence #237 from 00101469 from sent2

Text  : Paolo Romeo ( ur . 20 lutego 1938 w Acireale )_ na Sycylii ,_ włoski duchowny katolicki ,_ arcybiskup Palermo ._
Tokens: 1____ 2____ 3 4_ 5 6_ 7_____ 8___ 9 10______ 11 12 13_____ 14 15____ 16______ 17_______ 18 19________ 20_____ 21

Chunks:
  TruePositive nam [1,2] = Paolo Romeo (confidence=0.99)
  TruePositive nam [10,10] = Acireale (confidence=1.00)
  TruePositive nam [13,13] = Sycylii (confidence=0.95)
  TruePositive nam [20,20] = Palermo (confidence=0.97)

(ChunkerEvaluator) Sentence #238 from 00101469 from sent3

Text  : Biografia
Tokens: 1________

Chunks:

(ChunkerEvaluator) Sentence #239 from 00101469 from sent4

Text  : Urodził się się jako piąte dziecko spośród dziewięciorga rodzeństwa ._
Tokens: 1______ 2__ 3__ 4___ 5____ 6______ 7______ 8____________ 9_________ 10

Chunks:

(ChunkerEvaluator) Sentence #240 from 00101469 from sent5

Text  : Studiował w seminarium duchownym w Acireale oraz w Rzymie -_ teologię na Uniwersytecie Gregoriańskim oraz prawo kanoniczne na Uniwersytecie Laterańskim ._
Tokens: 1________ 2 3_________ 4________ 5 6_______ 7___ 8 9_____ 10 11______ 12 13___________ 14___________ 15__ 16___ 17________ 18 19___________ 20_________ 21

Chunks:
  TruePositive nam [6,6] = Acireale (confidence=1.00)
  TruePositive nam [9,9] = Rzymie (confidence=1.00)
  TruePositive nam [13,14] = Uniwersytecie Gregoriańskim (confidence=1.00)
  TruePositive nam [19,20] = Uniwersytecie Laterańskim (confidence=1.00)

(ChunkerEvaluator) Sentence #241 from 00101469 from sent6

Text  : Święcenia kapłańskie przyjął 18 marca 1961 z rąk biskupa Angelo Calabretta ._
Tokens: 1________ 2_________ 3______ 4_ 5____ 6___ 7 8__ 9______ 10____ 11________ 12

Chunks:
  TruePositive nam [10,11] = Angelo Calabretta (confidence=1.00)

(ChunkerEvaluator) Sentence #242 from 00101469 from sent7

Text  : W 1964 rozpoczął przygotowanie do służby dyplomatycznej na Papieskiej Akademii Kościelnej ._
Tokens: 1 2___ 3________ 4____________ 5_ 6_____ 7_____________ 8_ 9_________ 10______ 11________ 12

Chunks:
  TruePositive nam [9,11] = Papieskiej Akademii Kościelnej (confidence=1.00)

(ChunkerEvaluator) Sentence #243 from 00101469 from sent8

Text  : Pracował na placówkach dyplomatycznych Stolicy Świętej w następujących krajach :_ na Filipinach ,_ w_ Belgii ,_ Luksemburgu ,_ Wenezueli ,_ Ruandzie oraz Burundi ._
Tokens: 1_______ 2_ 3_________ 4______________ 5______ 6______ 7 8____________ 9______ 10 11 12________ 13 14 15____ 16 17_________ 18 19_______ 20 21______ 22__ 23_____ 24

Chunks:
  TruePositive nam [5,6] = Stolicy Świętej (confidence=1.00)
  TruePositive nam [12,12] = Filipinach (confidence=1.00)
  TruePositive nam [15,15] = Belgii (confidence=1.00)
  TruePositive nam [17,17] = Luksemburgu (confidence=1.00)
  TruePositive nam [19,19] = Wenezueli (confidence=1.00)
  TruePositive nam [21,21] = Ruandzie (confidence=1.00)
  TruePositive nam [23,23] = Burundi (confidence=1.00)

(ChunkerEvaluator) Sentence #244 from 00101469 from sent9

Text  : W 1976 powrócił do Watykanu , gdzie rozpoczął pracę w_ Sekretariacie Stanu ._
Tokens: 1 2___ 3_______ 4_ 5_______ 6 7____ 8________ 9____ 10 11___________ 12___ 13

Chunks:
  TruePositive nam [5,5] = Watykanu (confidence=1.00)
  TruePositive nam [11,12] = Sekretariacie Stanu (confidence=0.97)

(ChunkerEvaluator) Sentence #245 from 00101469 from sent10

Text  : Episkopat
Tokens: 1________

Chunks:

(ChunkerEvaluator) Sentence #246 from 00101469 from sent11

Text  : 17 grudnia 1983 został mianowany nuncjuszem apostolskim na Haiti oraz arcybiskupem ze stolicą tytularną Vulturia ._
Tokens: 1_ 2______ 3___ 4_____ 5________ 6_________ 7__________ 8_ 9____ 10__ 11__________ 12 13_____ 14_______ 15______ 16

Chunks:
  TruePositive nam [9,9] = Haiti (confidence=1.00)
  TruePositive nam [15,15] = Vulturia (confidence=0.93)

(ChunkerEvaluator) Sentence #247 from 00101469 from sent12

Text  : Sakry biskupiej udzielił mu papież Jan Paweł II .
Tokens: 1____ 2________ 3_______ 4_ 5_____ 6__ 7____ 8_ 9

Chunks:
  TruePositive nam [6,8] = Jan Paweł II (confidence=1.00)

(ChunkerEvaluator) Sentence #248 from 00101469 from sent13

Text  : W roku 1990 został nuncjuszem w Kolumbii , w roku 1999 został przeniesiony na placówkę dyplomatyczną w_ Kanadzie ,_ gdzie pełnił funkcję nuncjusza w_ latach 1999 -_ 2001 ._
Tokens: 1 2___ 3___ 4_____ 5_________ 6 7_______ 8 9 10__ 11__ 12____ 13__________ 14 15______ 16___________ 17 18______ 19 20___ 21____ 22_____ 23_______ 24 25____ 26__ 27 28__ 29

Chunks:
  TruePositive nam [7,7] = Kolumbii (confidence=1.00)
  TruePositive nam [18,18] = Kanadzie (confidence=1.00)

(ChunkerEvaluator) Sentence #249 from 00101469 from sent14

Text  : W roku 2001 papież Jan Paweł II mianował go nuncjuszem apostolskim we Włoszech i_ San Marino ._
Tokens: 1 2___ 3___ 4_____ 5__ 6____ 7_ 8_______ 9_ 10________ 11_________ 12 13______ 14 15_ 16____ 17

Chunks:
  TruePositive nam [5,7] = Jan Paweł II (confidence=1.00)
  TruePositive nam [13,13] = Włoszech (confidence=1.00)
  TruePositive nam [15,16] = San Marino (confidence=1.00)

(ChunkerEvaluator) Sentence #250 from 00101469 from sent15

Text  : Pełnił tą funkcję do 2006 .
Tokens: 1_____ 2_ 3______ 4_ 5___ 6

Chunks:

(ChunkerEvaluator) Sentence #251 from 00101469 from sent16

Text  : 19 grudnia 2006 Benedykt XVI mianował go arcybiskupem Palermo ._
Tokens: 1_ 2______ 3___ 4_______ 5__ 6_______ 7_ 8___________ 9______ 10

Chunks:
  TruePositive nam [4,5] = Benedykt XVI (confidence=1.00)
  TruePositive nam [9,9] = Palermo (confidence=0.98)

(ChunkerEvaluator) Sentence #252 from 00101469 from sent17

Text  : Zastąpił na tym stanowisku odchodzącegona emeryturę kard . Salvatore De Giorgi ._
Tokens: 1_______ 2_ 3__ 4_________ 5_____________ 6________ 7___ 8 9________ 10 11____ 12

Chunks:
  TruePositive nam [9,11] = Salvatore De Giorgi (confidence=1.00)

2017-06-14 20:27:41,108 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 16 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101470.xml
(ChunkerEvaluator) Sentence #253 from 00101470 from sent1

Text  : Castel San Pietro Terme
Tokens: 1_____ 2__ 3_____ 4____

Chunks:
  TruePositive nam [1,4] = Castel San Pietro Terme (confidence=0.85)

(ChunkerEvaluator) Sentence #254 from 00101470 from sent2

Text  : Castel San Pietro Terme to miejscowość i gmina we Włoszech ,_ w_ regionie Emilia -_ Romania ,_ w_ prowincji Bolonia ._
Tokens: 1_____ 2__ 3_____ 4____ 5_ 6__________ 7 8____ 9_ 10______ 11 12 13______ 14____ 15 16_____ 17 18 19_______ 20_____ 21

Chunks:
  TruePositive nam [1,4] = Castel San Pietro Terme (confidence=0.85)
  TruePositive nam [10,10] = Włoszech (confidence=1.00)
  TruePositive nam [14,16] = Emilia - Romania (confidence=1.00)
  TruePositive nam [20,20] = Bolonia (confidence=0.99)

(ChunkerEvaluator) Sentence #255 from 00101470 from sent3

Text  : Wg danych na rok 2005 gminę zamieszkuje 19 654 osób ,_ 129 ,_ 4_ os ._ /_ km² ._
Tokens: 1_ 2_____ 3_ 4__ 5___ 6____ 7__________ 8_ 9__ 10__ 11 12_ 13 14 15 16 17 18_ 19

Chunks:

2017-06-14 20:27:41,119 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 17 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101474.xml
(ChunkerEvaluator) Sentence #256 from 00101474 from sent1

Text  : Serowe
Tokens: 1_____

Chunks:
  FalseNegative nam [1,1] = Serowe

(ChunkerEvaluator) Sentence #257 from 00101474 from sent2

Text  : Serowe – miasto we wschodniej Botswanie , ośrodek administracyjny Dystryktu Centralnego ._
Tokens: 1_____ 2 3_____ 4_ 5_________ 6________ 7 8______ 9______________ 10_______ 11_________ 12

Chunks:
  TruePositive nam [6,6] = Botswanie (confidence=0.99)
  TruePositive nam [10,11] = Dystryktu Centralnego (confidence=1.00)
  FalseNegative nam [1,1] = Serowe

(ChunkerEvaluator) Sentence #258 from 00101474 from sent3

Text  : Około 47 tys . mieszkańców .
Tokens: 1____ 2_ 3__ 4 5__________ 6

Chunks:

2017-06-14 20:27:41,125 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 18 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101481.xml
(ChunkerEvaluator) Sentence #259 from 00101481 from sent1

Text  : Jacek Sobieszczański
Tokens: 1____ 2_____________

Chunks:
  TruePositive nam [1,2] = Jacek Sobieszczański (confidence=1.00)

(ChunkerEvaluator) Sentence #260 from 00101481 from sent2

Text  : Jacek Sobieszczański ( ur . 1966 ) - polski aktor i_ lektor ,_ ukończył PWST w_ Warszawie w_ 1990 roku ._
Tokens: 1____ 2_____________ 3 4_ 5 6___ 7 8 9_____ 10___ 11 12____ 13 14______ 15__ 16 17_______ 18 19__ 20__ 21

Chunks:
  TruePositive nam [1,2] = Jacek Sobieszczański (confidence=1.00)
  TruePositive nam [15,15] = PWST (confidence=0.99)
  TruePositive nam [17,17] = Warszawie (confidence=1.00)

(ChunkerEvaluator) Sentence #261 from 00101481 from sent3

Text  : Laureat nagrody Macieja Nowaka za rolę tytułową w Ptaśku ._
Tokens: 1______ 2______ 3______ 4_____ 5_ 6___ 7_______ 8 9_____ 10

Chunks:
  TruePositive nam [3,4] = Macieja Nowaka (confidence=1.00)
  TruePositive nam [9,9] = Ptaśku (confidence=0.99)

2017-06-14 20:27:41,135 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 19 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101507.xml
(ChunkerEvaluator) Sentence #262 from 00101507 from sent1

Text  : Zanim umówicie się na randkę z internautą , odwiedźcie jego stronę WWW !_
Tokens: 1____ 2_______ 3__ 4_ 5_____ 6 7_________ 8 9_________ 10__ 11____ 12_ 13

Chunks:
  TruePositive nam [12,12] = WWW (confidence=0.97)

(ChunkerEvaluator) Sentence #263 from 00101507 from sent2

Text  : Psychologowie uważają bowiem , że można poznać wiele szczegółów osobowości człowieka ,_ zaznajamiając się z_ jego stronę domową ._
Tokens: 1____________ 2______ 3_____ 4 5_ 6____ 7_____ 8____ 9_________ 10________ 11_______ 12 13___________ 14_ 15 16__ 17____ 18____ 19

Chunks:

(ChunkerEvaluator) Sentence #264 from 00101507 from sent3

Text  : Simine Vazire i Samuel Gosling z uniwersytetu w Austin (_ Teksas )_ polecili niezależnym sądziom kompetentnym ,_ by zapoznali się ze stronami znalezionymi za pomocą popularnej wyszukiwarki i_ ocenili osobowość ich autorów ,_ używając składającego się z_ 44 pytań Inwentarza Osobowości “_ Big Five ”_ ._
Tokens: 1_____ 2_____ 3 4_____ 5______ 6 7___________ 8 9_____ 10 11____ 12 13______ 14_________ 15_____ 16__________ 17 18 19_______ 20_ 21 22______ 23__________ 24 25____ 26________ 27__________ 28 29_____ 30_______ 31_ 32_____ 33 34______ 35__________ 36_ 37 38 39___ 40________ 41________ 42 43_ 44__ 45 46

Chunks:
  TruePositive nam [1,2] = Simine Vazire (confidence=0.76)
  TruePositive nam [4,5] = Samuel Gosling (confidence=1.00)
  TruePositive nam [9,9] = Austin (confidence=1.00)
  TruePositive nam [11,11] = Teksas (confidence=0.99)
  FalsePositive nam [40,41] = Inwentarza Osobowości (confidence=0.86) (incorrect boundry)
  FalsePositive nam [43,44] = Big Five (confidence=0.74) (incorrect boundry)
  FalseNegative nam [40,45] = Inwentarza Osobowości “ Big Five ”

(ChunkerEvaluator) Sentence #265 from 00101507 from sent4

Text  : Następnie badacze kontaktowali się z internautą i prosili go o_ wypełnienie kwestionariusza ,_ a_ także o_ wyznaczenie przyjaciela ,_ który będzie oceniać jego osobowość ._
Tokens: 1________ 2______ 3___________ 4__ 5 6_________ 7 8______ 9_ 10 11_________ 12_____________ 13 14 15___ 16 17_________ 18_________ 19 20___ 21____ 22_____ 23__ 24_______ 25

Chunks:

(ChunkerEvaluator) Sentence #266 from 00101507 from sent5

Text  : Wyniki kwestionariuszy wypełnionych przez sędziego , autora strony i jego przyjaciela były bardzo zbieżne ._
Tokens: 1_____ 2______________ 3___________ 4____ 5_______ 6 7_____ 8_____ 9 10__ 11_________ 12__ 13____ 14_____ 15

Chunks:

(ChunkerEvaluator) Sentence #267 from 00101507 from sent6

Text  : Gosling uważa , że czyjąś osobowość można poznać , odwiedzając jego biuro czy sypialnię ._
Tokens: 1______ 2____ 3 4_ 5_____ 6________ 7____ 8_____ 9 10_________ 11__ 12___ 13_ 14_______ 15

Chunks:
  TruePositive nam [1,1] = Gosling (confidence=0.75)

(ChunkerEvaluator) Sentence #268 from 00101507 from sent7

Text  : Nasze otoczenie fizyczne jest bowiem manifestacją tożsamości .
Tokens: 1____ 2________ 3_______ 4___ 5_____ 6___________ 7_________ 8

Chunks:

(ChunkerEvaluator) Sentence #269 from 00101507 from sent8

Text  : Wiele mówić będą na przykład znajdujące się w sypialni plakaty i_ zdjęcia ._
Tokens: 1____ 2____ 3___ 4_ 5_______ 6_________ 7__ 8 9_______ 10_____ 11 12_____ 13

Chunks:

(ChunkerEvaluator) Sentence #270 from 00101507 from sent9

Text  : Informują też o nas ślady zachowań , czyli rozrzucona pościel ,_ resztki jedzenia na urzędowym biurku itp ._
Tokens: 1________ 2__ 3 4__ 5____ 6_______ 7 8____ 9_________ 10_____ 11 12_____ 13______ 14 15_______ 16____ 17_ 18

Chunks:

(ChunkerEvaluator) Sentence #271 from 00101507 from sent10

Text  : Vazire i Gosling twierdzą , że na stronach internetowych nie znajdziemy co prawda śladów zachowań ,_ ale będziemy za to mieć łatwy dostęp do ściśle kontrolowanych przejawów manifestacji tożsamości :_ zamieszczanych zdjęć ,_ cytatów czy odnośników do innych stron ._
Tokens: 1_____ 2 3______ 4_______ 5 6_ 7_ 8_______ 9____________ 10_ 11________ 12 13____ 14____ 15______ 16 17_ 18______ 19 20 21__ 22___ 23____ 24 25____ 26____________ 27_______ 28__________ 29________ 30 31____________ 32___ 33 34_____ 35_ 36________ 37 38____ 39___ 40

Chunks:
  TruePositive nam [1,1] = Vazire (confidence=0.88)
  TruePositive nam [3,3] = Gosling (confidence=0.80)

(ChunkerEvaluator) Sentence #272 from 00101507 from sent11

Text  : Badanie amerykańskich naukowców ukazało się w Journal of Personality and Social Psychology ._
Tokens: 1______ 2____________ 3________ 4______ 5__ 6 7______ 8_ 9__________ 10_ 11____ 12________ 13

Chunks:
  TruePositive nam [7,12] = Journal of Personality and Social Psychology (confidence=1.00)

2017-06-14 20:27:41,195 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 20 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101531.xml
(ChunkerEvaluator) Sentence #273 from 00101531 from sent1

Text  : Otóż wyrok niemieckiego trybunału stworzył po raz pierwszy dla wszystkich państw członkowskich nową sytuację prawną ,_ chociaż nie wywołuje bezpośrednio skutków prawnych w_ Polsce ._
Tokens: 1___ 2____ 3___________ 4________ 5_______ 6_ 7__ 8_______ 9__ 10________ 11____ 12___________ 13__ 14______ 15____ 16 17_____ 18_ 19______ 20__________ 21_____ 22______ 23 24____ 25

Chunks:
  TruePositive nam [24,24] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #274 from 00101531 from sent2

Text  : Kiedy Niemcy zapiszą konkretne prawa swojego parlamentu w zakresie oddziaływania na Unię Europejską ,_ niemiecki parlament stanie się de facto parlamentem europejskim przejmującym kontrolę nad instytucjami unijnymi ._
Tokens: 1____ 2_____ 3______ 4________ 5____ 6______ 7_________ 8 9_______ 10___________ 11 12__ 13________ 14 15_______ 16_______ 17____ 18_ 19 20___ 21_________ 22_________ 23__________ 24______ 25_ 26__________ 27______ 28

Chunks:
  TruePositive nam [2,2] = Niemcy (confidence=1.00)
  TruePositive nam [12,13] = Unię Europejską (confidence=1.00)

(ChunkerEvaluator) Sentence #275 from 00101531 from sent3

Text  : Niemcy będą w tym momencie bardziej suwerennym krajem aniżeli te ,_ które ich wzorem tego nie uczynią ._
Tokens: 1_____ 2___ 3 4__ 5_______ 6_______ 7_________ 8_____ 9______ 10 11 12___ 13_ 14____ 15__ 16_ 17_____ 18

Chunks:
  TruePositive nam [1,1] = Niemcy (confidence=0.82)

(ChunkerEvaluator) Sentence #276 from 00101531 from sent4

Text  : Wyrok niemieckiego trybunału konstytucyjnego daje przyzwolenie na podobne działania w_ Polsce ,_ aby w_ sposób analogiczny zabezpieczyć interesy Polski i_ Polaków w_ unijnych decyzyjnych procedurach ._
Tokens: 1____ 2___________ 3________ 4______________ 5___ 6___________ 7_ 8______ 9________ 10 11____ 12 13_ 14 15____ 16_________ 17__________ 18______ 19____ 20 21_____ 22 23______ 24_________ 25_________ 26

Chunks:
  TruePositive nam [11,11] = Polsce (confidence=1.00)
  TruePositive nam [19,19] = Polski (confidence=1.00)
  TruePositive nam [21,21] = Polaków (confidence=1.00)

(ChunkerEvaluator) Sentence #277 from 00101531 from sent5

Text  : Uchwalona przez polski Sejm ustawa z 11 marca 2004 r_ ._ o_ współpracy Rady Ministrów z_ Sejmem i_ Senatem w_ sprawach związanych z_ członkostwem zmieniła w_ sposób jaskrawie sprzeczny z_ konstytucją rolę polskiego parlamentu narodowego ,_ czyniąc go w_ 80 %_ spraw przekazanych do Unii jedynie organem opiniodawczym dla Rady Ministrów i_ organów Unii Europejskiej ._
Tokens: 1________ 2____ 3_____ 4___ 5_____ 6 7_ 8____ 9___ 10 11 12 13________ 14__ 15_______ 16 17____ 18 19_____ 20 21______ 22________ 23 24__________ 25______ 26 27____ 28_______ 29_______ 30 31_________ 32__ 33_______ 34________ 35________ 36 37_____ 38 39 40 41 42___ 43__________ 44 45__ 46_____ 47_____ 48___________ 49_ 50__ 51_______ 52 53_____ 54__ 55__________ 56

Chunks:
  TruePositive nam [45,45] = Unii (confidence=0.88)
  FalsePositive nam [4,15] = Sejm ustawa z 11 marca 2004 r . o współpracy Rady Ministrów (confidence=0.99) (incorrect boundry)
  FalsePositive nam [17,17] = Sejmem (confidence=0.99) (incorrect boundry)
  FalsePositive nam [19,19] = Senatem (confidence=0.96) (incorrect boundry)
  FalsePositive nam [50,53] = Rady Ministrów i organów (confidence=0.96) (incorrect boundry)
  FalsePositive nam [54,55] = Unii Europejskiej (confidence=0.75) (incorrect boundry)
  FalseNegative nam [4,4] = Sejm
  FalseNegative nam [5,24] = ustawa z 11 marca 2004 r . o współpracy Rady Ministrów z Sejmem i Senatem w sprawach związanych z członkostwem
  FalseNegative nam [50,51] = Rady Ministrów
  FalseNegative nam [54,56] = Unii Europejskiej .

(ChunkerEvaluator) Sentence #278 from 00101531 from sent6

Text  : Polski parlament zrzekł się własną ustawą , pozakonstytucyjnie wpływu na sprawy Polski w_ Unii Europejskiej ,_ ustanawiając przewagę władzy wykonawczej nad ustawodawczą ._
Tokens: 1_____ 2________ 3_____ 4__ 5_____ 6_____ 7 8_________________ 9_____ 10 11____ 12____ 13 14__ 15__________ 16 17__________ 18______ 19____ 20_________ 21_ 22__________ 23

Chunks:
  TruePositive nam [12,12] = Polski (confidence=1.00)
  TruePositive nam [14,15] = Unii Europejskiej (confidence=1.00)

(ChunkerEvaluator) Sentence #279 from 00101531 from sent7

Text  : Został zdegradowany jako władza ustawodawcza .
Tokens: 1_____ 2___________ 3___ 4_____ 5___________ 6

Chunks:

(ChunkerEvaluator) Sentence #280 from 00101531 from sent8

Text  : Trybunał Konstytucyjny polski , hołdując zasadzie nieistniejącej w konstytucji ,_ tzw ._ zasadzie życzliwości ,_ zadecydował ,_ zawyrokował życzliwie dla integracji europejskiej ,_ ale nieżyczliwie dla Polski ,_ że przepisy tej ustawy są konstytucyjne ._
Tokens: 1_______ 2____________ 3_____ 4 5_______ 6_______ 7_____________ 8 9__________ 10 11_ 12 13______ 14_________ 15 16_________ 17 18_________ 19_______ 20_ 21________ 22__________ 23 24_ 25__________ 26_ 27____ 28 29 30______ 31_ 32____ 33 34___________ 35

Chunks:
  TruePositive nam [27,27] = Polski (confidence=1.00)
  FalsePositive nam [1,3] = Trybunał Konstytucyjny polski (confidence=0.99) (incorrect boundry)
  FalseNegative nam [1,2] = Trybunał Konstytucyjny

(ChunkerEvaluator) Sentence #281 from 00101531 from sent9

Text  : Sejm polski ograniczył się – Sejm polski w sprawach dotyczących Unii jest de facto niemy ._
Tokens: 1___ 2_____ 3_________ 4__ 5 6___ 7_____ 8 9_______ 10_________ 11__ 12__ 13 14___ 15___ 16

Chunks:
  TruePositive nam [6,6] = Sejm (confidence=0.82)
  TruePositive nam [11,11] = Unii (confidence=0.70)
  FalseNegative nam [1,1] = Sejm

(ChunkerEvaluator) Sentence #282 from 00101531 from sent10

Text  : Jeśli chodzi o tę nową sytuację prawną w Unii Europejskiej ,_ to zdumiewa to ,_ że brak jest zainteresowania różnych ośrodków w_ Polsce tym wydarzeniem ,_ przede wszystkim brak zainteresowania polityków ,_ naukowców ,_ konstytucjonalistów i_ mediów ,_ które ,_ jak zwykle manipulując ,_ podały bardzo krótką informację ,_ że (_ Dzwonek )_ niemiecki trybunał stwierdził zgodność traktatu z_ konstytucją niemiecką ._
Tokens: 1____ 2_____ 3 4_ 5___ 6_______ 7_____ 8 9___ 10__________ 11 12 13______ 14 15 16 17__ 18__ 19_____________ 20_____ 21______ 22 23____ 24_ 25_________ 26 27____ 28_______ 29__ 30_____________ 31_______ 32 33_______ 34 35_________________ 36 37____ 38 39___ 40 41_ 42____ 43_________ 44 45____ 46____ 47____ 48________ 49 50 51 52_____ 53 54_______ 55______ 56________ 57______ 58______ 59 60_________ 61_______ 62

Chunks:
  TruePositive nam [9,10] = Unii Europejskiej (confidence=1.00)
  TruePositive nam [23,23] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #283 from 00101531 from sent11

Text  : I tyle – nie dopowiedziały , że powiedział „ tak ”_ dla traktatu ,_ ale pod pewnymi warunkami ._
Tokens: 1 2___ 3 4__ 5____________ 6 7_ 8_________ 9 10_ 11 12_ 13______ 14 15_ 16_ 17_____ 18_______ 19

Chunks:

(ChunkerEvaluator) Sentence #284 from 00101531 from sent12

Text  : Wobec tego apeluję przed wyjazdem na urlop gorąco do polskiego parlamentu ,_ do parlamentarzystów ,_ aby śmy wspólnie podjęli działania przywracające nam prawa reprezentanta suwerena ,_ którym jest polski naród ,_ co nam gwarantuje art ._ 96 i_ art ._ 104 polskiej konstytucji ._
Tokens: 1____ 2___ 3______ 4____ 5_______ 6_ 7____ 8_____ 9_ 10_______ 11________ 12 13 14_______________ 15 16_ 17_ 18______ 19_____ 20_______ 21___________ 22_ 23___ 24___________ 25______ 26 27____ 28__ 29____ 30___ 31 32 33_ 34________ 35_ 36 37 38 39_ 40 41_ 42______ 43_________ 44

Chunks:

(ChunkerEvaluator) Sentence #285 from 00101531 from sent13

Text  : Dziękuję za uwagę .
Tokens: 1_______ 2_ 3____ 4

Chunks:

(ChunkerEvaluator) Sentence #286 from 00101531 from sent14

Text  : ( Oklaski )
Tokens: 1 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #287 from 00101531 from sent15

Text  : Wicemarszałek Krzysztof Putra :
Tokens: 1____________ 2________ 3____ 4

Chunks:
  TruePositive nam [2,3] = Krzysztof Putra (confidence=1.00)

(ChunkerEvaluator) Sentence #288 from 00101531 from sent16

Text  : Dziękują bardzo pani poseł .
Tokens: 1_______ 2_____ 3___ 4____ 5

Chunks:

(ChunkerEvaluator) Sentence #289 from 00101531 from sent17

Text  : Na tym zakończyli śmy oświadczenia poselskie .
Tokens: 1_ 2__ 3_________ 4__ 5___________ 6________ 7

Chunks:

(ChunkerEvaluator) Sentence #290 from 00101531 from sent18

Text  : I na tym kończymy 47 . posiedzenie Sejmu Rzeczypospolitej Polskiej ._
Tokens: 1 2_ 3__ 4_______ 5_ 6 7__________ 8____ 9_______________ 10______ 11

Chunks:
  FalsePositive nam [8,10] = Sejmu Rzeczypospolitej Polskiej (confidence=1.00) (incorrect boundry)
  FalseNegative nam [8,11] = Sejmu Rzeczypospolitej Polskiej .

(ChunkerEvaluator) Sentence #291 from 00101531 from sent19

Text  : Protokół posiedzenia będzie wyłożony do przejrzenia w Sekretariacie Posiedzeń Sejmu ._
Tokens: 1_______ 2__________ 3_____ 4_______ 5_ 6__________ 7 8____________ 9________ 10___ 11

Chunks:
  TruePositive nam [8,10] = Sekretariacie Posiedzeń Sejmu (confidence=1.00)

(ChunkerEvaluator) Sentence #292 from 00101531 from sent20

Text  : Porządek dzienny 48 . posiedzenia Sejmu , zwołanego na dni 26 ,_ 27 i_ 28 sierpnia 2009 r_ ._ ,_ został paniom i_ panom posłom doręczony ._
Tokens: 1_______ 2______ 3_ 4 5__________ 6____ 7 8________ 9_ 10_ 11 12 13 14 15 16______ 17__ 18 19 20 21____ 22____ 23 24___ 25____ 26_______ 27

Chunks:
  TruePositive nam [6,6] = Sejmu (confidence=1.00)

(ChunkerEvaluator) Sentence #293 from 00101531 from sent21

Text  : Zamykam posiedzenie .
Tokens: 1______ 2__________ 3

Chunks:

(ChunkerEvaluator) Sentence #294 from 00101531 from sent22

Text  : ( Wicemarszałek trzykrotnie uderza laską marszałkowską )
Tokens: 1 2____________ 3__________ 4_____ 5____ 6____________ 7

Chunks:

2017-06-14 20:27:41,315 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 21 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101535.xml
(ChunkerEvaluator) Sentence #295 from 00101535 from sent1

Text  : Czy media społeczne to nowość ?
Tokens: 1__ 2____ 3________ 4_ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #296 from 00101535 from sent2

Text  : Na blogach toczą się czasem bardzo inteligentne spory .
Tokens: 1_ 2______ 3____ 4__ 5_____ 6_____ 7___________ 8____ 9

Chunks:

(ChunkerEvaluator) Sentence #297 from 00101535 from sent3

Text  : Świat dzieli się na tych , dla których poprzednie zdanie jest truizmem i_ tych ,_ którzy podchodzą do niego sceptycznie ._
Tokens: 1____ 2_____ 3__ 4_ 5___ 6 7__ 8______ 9_________ 10____ 11__ 12______ 13 14__ 15 16____ 17_______ 18 19___ 20_________ 21

Chunks:

(ChunkerEvaluator) Sentence #298 from 00101535 from sent4

Text  : Prowadzi on do wspomnienia o dwu wpisach , które dziś przeczytał em ._
Tokens: 1_______ 2_ 3_ 4__________ 5 6__ 7______ 8 9____ 10__ 11________ 12 13

Chunks:

(ChunkerEvaluator) Sentence #299 from 00101535 from sent5

Text  : Najpierw Scott Berkun na swoim blogu , we wpisie „_ Calling Bullshit on Social Media ”_ ,_ wskazał na różne „_ ściemy ”_ związane z_ propagowaniem mediów i_ serwisów społecznościowych ._
Tokens: 1_______ 2____ 3_____ 4_ 5____ 6____ 7 8_ 9_____ 10 11_____ 12______ 13 14____ 15___ 16 17 18_____ 19 20___ 21 22____ 23 24______ 25 26___________ 27____ 28 29______ 30_______________ 31

Chunks:
  TruePositive nam [2,3] = Scott Berkun (confidence=1.00)
  TruePositive nam [11,15] = Calling Bullshit on Social Media (confidence=0.99)

(ChunkerEvaluator) Sentence #300 from 00101535 from sent6

Text  : Na część zarzutów odpowiedział na O ’ Reilly Radar Joshua -_ Michele Ross ._
Tokens: 1_ 2____ 3_______ 4___________ 5_ 6 7 8_____ 9____ 10____ 11 12_____ 13__ 14

Chunks:
  FalsePositive nam [6,13] = O ’ Reilly Radar Joshua - Michele Ross (confidence=0.99) (incorrect boundry)
  FalseNegative nam [6,9] = O ’ Reilly Radar
  FalseNegative nam [10,13] = Joshua - Michele Ross

(ChunkerEvaluator) Sentence #301 from 00101535 from sent7

Text  : Berkun , co warto zauważyć , nie jest wrogiem mediów społecznych ,_ nie idzie w_ ślady Andrew Keena i_ nie krzyczy (_ chwytliwie ,_ ale mało rozsądnie )_ ,_ że Internet niszczy kulturę ._
Tokens: 1_____ 2 3_ 4____ 5_______ 6 7__ 8___ 9______ 10____ 11_________ 12 13_ 14___ 15 16___ 17____ 18___ 19 20_ 21_____ 22 23________ 24 25_ 26__ 27_______ 28 29 30 31______ 32_____ 33_____ 34

Chunks:
  TruePositive nam [1,1] = Berkun (confidence=0.99)
  TruePositive nam [17,18] = Andrew Keena (confidence=1.00)
  TruePositive nam [31,31] = Internet (confidence=1.00)

(ChunkerEvaluator) Sentence #302 from 00101535 from sent8

Text  : Korzysta z serwisów , takich jak Facebook czy Twitter ,_ i_ dobrze mu z_ tym ._
Tokens: 1_______ 2 3_______ 4 5_____ 6__ 7_______ 8__ 9______ 10 11 12____ 13 14 15_ 16

Chunks:
  TruePositive nam [7,7] = Facebook (confidence=1.00)
  TruePositive nam [9,9] = Twitter (confidence=1.00)

(ChunkerEvaluator) Sentence #303 from 00101535 from sent9

Text  : Swoje zarzuty formułuje więc będąc członkiem społeczności .
Tokens: 1____ 2______ 3________ 4___ 5____ 6________ 7___________ 8

Chunks:

(ChunkerEvaluator) Sentence #304 from 00101535 from sent10

Text  : Czyni je to bardziej wiarygodnymi .
Tokens: 1____ 2_ 3_ 4_______ 5___________ 6

Chunks:

(ChunkerEvaluator) Sentence #305 from 00101535 from sent11

Text  : Mimo to uważam , że w większości kwestii się myli i_ częściowo wykazał to już Ross ._
Tokens: 1___ 2_ 3_____ 4 5_ 6 7_________ 8______ 9__ 10__ 11 12_______ 13_____ 14 15_ 16__ 17

Chunks:
  TruePositive nam [16,16] = Ross (confidence=1.00)

(ChunkerEvaluator) Sentence #306 from 00101535 from sent12

Text  : Wspólnym mianownikiem dla uwag Berkuna jest to , że termin „_ social media ”_ i_ pokrewne traktuje jako modne hasła ,_ które w_ największym stopniu promują ludzie ,_ którzy z_ tych narzędzi korzystają i_ na nich zarabiają (_ podaje analogię :_ PR -_ owcy ,_ którzy mówią ,_ że PR jest świetny dla firm )_ ._
Tokens: 1_______ 2___________ 3__ 4___ 5______ 6___ 7_ 8 9_ 10____ 11 12____ 13___ 14 15 16______ 17______ 18__ 19___ 20___ 21 22___ 23 24_________ 25_____ 26_____ 27____ 28 29____ 30 31__ 32______ 33________ 34 35 36__ 37_______ 38 39____ 40______ 41 42 43 44__ 45 46____ 47___ 48 49 50 51__ 52_____ 53_ 54__ 55 56

Chunks:
  TruePositive nam [5,5] = Berkuna (confidence=1.00)
  FalsePositive nam [42,44] = PR - owcy (confidence=0.97) (incorrect boundry)
  FalsePositive nam [50,50] = PR (confidence=0.97) (incorrect boundry)

(ChunkerEvaluator) Sentence #307 from 00101535 from sent13

Text  : W istocie , jego zdaniem , nie kryje się za tą propagandą atrakcyjna treść ._
Tokens: 1 2______ 3 4___ 5______ 6 7__ 8____ 9__ 10 11 12________ 13________ 14___ 15

Chunks:

(ChunkerEvaluator) Sentence #308 from 00101535 from sent14

Text  : Media społeczne są , owszem , fajne , ale nie są ,_ wbrew temu ,_ co nam się wmawia niczym odkrywczym ._
Tokens: 1____ 2________ 3_ 4 5_____ 6 7____ 8 9__ 10_ 11 12 13___ 14__ 15 16 17_ 18_ 19____ 20____ 21________ 22

Chunks:

(ChunkerEvaluator) Sentence #309 from 00101535 from sent15

Text  : Sieci społeczne istnieją „ od zawsze ” , podobnie jak komunikacja poza oficjalnym obiegiem ._
Tokens: 1____ 2________ 3_______ 4 5_ 6_____ 7 8 9_______ 10_ 11_________ 12__ 13________ 14______ 15

Chunks:

(ChunkerEvaluator) Sentence #310 from 00101535 from sent16

Text  : Wciąż jest miejsce dla starych mediów .
Tokens: 1____ 2___ 3______ 4__ 5______ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #311 from 00101535 from sent17

Text  : Nowe narzędzia nie naprawią świata .
Tokens: 1___ 2________ 3__ 4_______ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #312 from 00101535 from sent18

Text  : Salwa celna , problem w tym , że cel chyba źle wybrany ._
Tokens: 1____ 2____ 3 4______ 5 6__ 7 8_ 9__ 10___ 11_ 12_____ 13

Chunks:

(ChunkerEvaluator) Sentence #313 from 00101535 from sent19

Text  : Berkun obrał sobie za niego bezwarunkowych entuzjastów Internetu ( w_ szczególności Web 2_ ._ 0_ )_ ,_ którzy uważają go za swego rodzaju panaceum na społeczno -_ kulturalne problemy tego świata ._
Tokens: 1_____ 2____ 3____ 4_ 5____ 6_____________ 7__________ 8________ 9 10 11___________ 12_ 13 14 15 16 17 18____ 19_____ 20 21 22___ 23_____ 24______ 25 26_______ 27 28________ 29______ 30__ 31____ 32

Chunks:
  TruePositive nam [1,1] = Berkun (confidence=0.98)
  TruePositive nam [8,8] = Internetu (confidence=1.00)
  TruePositive nam [12,15] = Web 2 . 0 (confidence=1.00)

(ChunkerEvaluator) Sentence #314 from 00101535 from sent20

Text  : Takich osób nie ma jednak zbyt wielu .
Tokens: 1_____ 2___ 3__ 4_ 5_____ 6___ 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #315 from 00101535 from sent21

Text  : Prawdę mówiąc , to raczej wrogowie Sieci skłonni są przypisywać ludziom z_ drugiej strony barykady ślepą miłość do Internetu ._
Tokens: 1_____ 2_____ 3 4_ 5_____ 6_______ 7____ 8______ 9_ 10_________ 11_____ 12 13_____ 14____ 15______ 16___ 17____ 18 19_______ 20

Chunks:
  TruePositive nam [19,19] = Internetu (confidence=1.00)

(ChunkerEvaluator) Sentence #316 from 00101535 from sent22

Text  : Wystarczy poczytać naszego bloga , by zobaczyć , że zachęcamy do świadomego ,_ nie nieograniczonego korzystania z_ Sieci ._
Tokens: 1________ 2_______ 3______ 4____ 5 6_ 7_______ 8 9_ 10_______ 11 12________ 13 14_ 15______________ 16_________ 17 18___ 19

Chunks:
  FalsePositive nam [18,18] = Sieci (confidence=0.68) (incorrect boundry)

(ChunkerEvaluator) Sentence #317 from 00101535 from sent23

Text  : Taki świadomy internauta inaczej spojrzy na kilka centralnych dla rozumowania Berkuna terminów i_ tym samym rozbroi jego argumenty ._
Tokens: 1___ 2_______ 3_________ 4______ 5______ 6_ 7____ 8__________ 9__ 10_________ 11_____ 12______ 13 14_ 15___ 16_____ 17__ 18_______ 19

Chunks:
  TruePositive nam [11,11] = Berkuna (confidence=0.62)

(ChunkerEvaluator) Sentence #318 from 00101535 from sent24

Text  : Jak słusznie zauważa Ross , nie jest to termin wartościujący ._
Tokens: 1__ 2_______ 3______ 4___ 5 6__ 7___ 8_ 9_____ 10___________ 11

Chunks:
  TruePositive nam [4,4] = Ross (confidence=1.00)

(ChunkerEvaluator) Sentence #319 from 00101535 from sent25

Text  : Nie należy utożsamiać go z „ naprawą ” albo „_ udoskonaleniem ”_ ._
Tokens: 1__ 2_____ 3_________ 4_ 5 6 7______ 8 9___ 10 11____________ 12 13

Chunks:

(ChunkerEvaluator) Sentence #320 from 00101535 from sent26

Text  : ( Z kolei z moich słów nie należy wyciągać wniosku ,_ że te terminy się wykluczają )_ ._
Tokens: 1 2 3____ 4 5____ 6___ 7__ 8_____ 9_______ 10_____ 11 12 13 14_____ 15_ 16________ 17 18

Chunks:

(ChunkerEvaluator) Sentence #321 from 00101535 from sent27

Text  : Rozwój Web 2 . 0 oznacza zmiany , np ._ w_ sposobach komunikacji ._
Tokens: 1_____ 2__ 3 4 5 6______ 7_____ 8 9_ 10 11 12_______ 13_________ 14

Chunks:
  TruePositive nam [2,5] = Web 2 . 0 (confidence=0.94)

(ChunkerEvaluator) Sentence #322 from 00101535 from sent28

Text  : „ Komunikacja ” .
Tokens: 1 2__________ 3 4

Chunks:

(ChunkerEvaluator) Sentence #323 from 00101535 from sent29

Text  : Wynalezienie książki , a później radio i telewizji zmieniło świat ._
Tokens: 1___________ 2______ 3 4 5______ 6____ 7 8________ 9_______ 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #324 from 00101535 from sent30

Text  : Jeden nadawca mógł w bardzo efektywny sposób dotrzeć do wielu odbiorców ._
Tokens: 1____ 2______ 3___ 4 5_____ 6________ 7_____ 8______ 9_ 10___ 11_______ 12

Chunks:

(ChunkerEvaluator) Sentence #325 from 00101535 from sent31

Text  : Określone idee mogły się dzięki temu znacznie szybciej rozpowszechniać ._
Tokens: 1________ 2___ 3____ 4__ 5_____ 6___ 7_______ 8_______ 9______________ 10

Chunks:

(ChunkerEvaluator) Sentence #326 from 00101535 from sent32

Text  : Teraz pojawiła się komunikacja „ wielu - do - wielu ”_ ._
Tokens: 1____ 2_______ 3__ 4__________ 5 6____ 7 8_ 9 10___ 11 12

Chunks:

(ChunkerEvaluator) Sentence #327 from 00101535 from sent33

Text  : Centralne ośrodki dystrybycji ( np . telewizja ) nie są konieczne ,_ by informacja błyskawicznie się rozprzestrzeniała ._
Tokens: 1________ 2______ 3__________ 4 5_ 6 7________ 8 9__ 10 11_______ 12 13 14________ 15___________ 16_ 17_______________ 18

Chunks:

(ChunkerEvaluator) Sentence #328 from 00101535 from sent34

Text  : Akurat teraz świadomość tego faktu dociera do milionów osób ,_ które śledzą wydarzenia w_ Iranie ,_ a_ ich podstawowymi źródłami są Twitter czy YouTube (_ nawet jeśli trafiają do nich za pośrednictwem „_ poważnych ”_ mediów )_ ._
Tokens: 1_____ 2____ 3_________ 4___ 5____ 6______ 7_ 8_______ 9___ 10 11___ 12____ 13________ 14 15____ 16 17 18_ 19__________ 20______ 21 22_____ 23_ 24_____ 25 26___ 27___ 28______ 29 30__ 31 32___________ 33 34_______ 35 36____ 37 38

Chunks:
  TruePositive nam [15,15] = Iranie (confidence=1.00)
  TruePositive nam [22,22] = Twitter (confidence=0.99)
  TruePositive nam [24,24] = YouTube (confidence=0.96)

(ChunkerEvaluator) Sentence #329 from 00101535 from sent35

Text  : Zmieniająca się komunikacja to zmieniająca się społeczność .
Tokens: 1__________ 2__ 3__________ 4_ 5__________ 6__ 7__________ 8

Chunks:

(ChunkerEvaluator) Sentence #330 from 00101535 from sent36

Text  : „ Sieci społeczne ” .
Tokens: 1 2____ 3________ 4 5

Chunks:

(ChunkerEvaluator) Sentence #331 from 00101535 from sent37

Text  : Owszem , są tak stare , albo i starsze ,_ niż nasz gatunek ._
Tokens: 1_____ 2 3_ 4__ 5____ 6 7___ 8 9______ 10 11_ 12__ 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #332 from 00101535 from sent38

Text  : Tyle , że historycznie tworzone były zwykle na podstawie bliskości genetycznej (_ ród )_ ,_ fizycznej (_ naród )_ i_ /_ lub zawodowej (_ cech )_ ._
Tokens: 1___ 2 3_ 4___________ 5_______ 6___ 7_____ 8_ 9________ 10_______ 11_________ 12 13_ 14 15 16_______ 17 18___ 19 20 21 22_ 23_______ 24 25__ 26 27

Chunks:

(ChunkerEvaluator) Sentence #333 from 00101535 from sent39

Text  : Nawet w tym ostatnim przypadku przedstawiciele tej samej grupy musieli mieszkać blisko siebie ._
Tokens: 1____ 2 3__ 4_______ 5________ 6______________ 7__ 8____ 9____ 10_____ 11______ 12____ 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #334 from 00101535 from sent40

Text  : Dziś można być jedynym zbieraczem kapsli w promieniu 200 kilometrów i_ mimo to mieć setkę znajomych ,_ z_ którymi łatwo dyskutować o_ swoim hobby ._
Tokens: 1___ 2____ 3__ 4______ 5_________ 6_____ 7 8________ 9__ 10________ 11 12__ 13 14__ 15___ 16_______ 17 18 19_____ 20___ 21________ 22 23___ 24___ 25

Chunks:

(ChunkerEvaluator) Sentence #335 from 00101535 from sent41

Text  : Więcej , mamy narzędzia , by tworzyć sieci społeczne ad hoc ,_ jeśli tylko zaistnieje taka potrzeba ._
Tokens: 1_____ 2 3___ 4________ 5 6_ 7______ 8____ 9________ 10 11_ 12 13___ 14___ 15________ 16__ 17______ 18

Chunks:

(ChunkerEvaluator) Sentence #336 from 00101535 from sent42

Text  : Dystans fizyczny i czas nie są żadnymi przeszkodami .
Tokens: 1______ 2_______ 3 4___ 5__ 6_ 7______ 8___________ 9

Chunks:

(ChunkerEvaluator) Sentence #337 from 00101535 from sent43

Text  : Znowu , doskonałym przykładem jest Iran .
Tokens: 1____ 2 3_________ 4_________ 5___ 6___ 7

Chunks:
  TruePositive nam [6,6] = Iran (confidence=1.00)

(ChunkerEvaluator) Sentence #338 from 00101535 from sent44

Text  : Na Facebooku , Twitterze i innych serwisach łącza się i_ wymieniają informacjami protestujący i_ ich zwolennicy od USA po Australię ._
Tokens: 1_ 2________ 3 4________ 5 6_____ 7________ 8____ 9__ 10 11________ 12__________ 13__________ 14 15_ 16________ 17 18_ 19 20_______ 21

Chunks:
  TruePositive nam [2,2] = Facebooku (confidence=0.99)
  TruePositive nam [4,4] = Twitterze (confidence=1.00)
  TruePositive nam [18,18] = USA (confidence=1.00)
  TruePositive nam [20,20] = Australię (confidence=0.99)

(ChunkerEvaluator) Sentence #339 from 00101535 from sent45

Text  : Więcej , tych sieci nikt nie musi odgórnie tworzyć ,_ inaczej się nimi zarządza ,_ czasem się w_ ogóle nie zarządza ._
Tokens: 1_____ 2 3___ 4____ 5___ 6__ 7___ 8_______ 9______ 10 11_____ 12_ 13__ 14______ 15 16____ 17_ 18 19___ 20_ 21______ 22

Chunks:

(ChunkerEvaluator) Sentence #340 from 00101535 from sent46

Text  : „ Proletariusze wszystkich krajów , łączcie się ! ” –_ wzywali marksiści ._
Tokens: 1 2____________ 3_________ 4_____ 5 6______ 7__ 8 9 10 11_____ 12_______ 13

Chunks:

(ChunkerEvaluator) Sentence #341 from 00101535 from sent47

Text  : Ale jak się mieli łączyć ?
Tokens: 1__ 2__ 3__ 4____ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #342 from 00101535 from sent48

Text  : Bez pomocy swoich delegatów nijak .
Tokens: 1__ 2_____ 3_____ 4________ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #343 from 00101535 from sent49

Text  : Jak mieli dyskutować robotnik w Warszawie i robotnik w Chicago ?_
Tokens: 1__ 2____ 3_________ 4_______ 5 6________ 7 8_______ 9 10_____ 11

Chunks:
  TruePositive nam [6,6] = Warszawie (confidence=1.00)
  TruePositive nam [10,10] = Chicago (confidence=1.00)

(ChunkerEvaluator) Sentence #344 from 00101535 from sent50

Text  : I , choć to temat na osobny wpis , warto zauważać ,_ że różne rzeczy ,_ niekoniecznie dobre ,_ mogą się zdarzyć ,_ gdy dwie osoby rozmawiają ze sobą za pośrednictwem „_ delegatów ”_ ,_ czy innych pośredników ._
Tokens: 1 2 3___ 4_ 5____ 6_ 7_____ 8___ 9 10___ 11______ 12 13 14___ 15____ 16 17___________ 18___ 19 20__ 21_ 22_____ 23 24_ 25__ 26___ 27________ 28 29__ 30 31___________ 32 33_______ 34 35 36_ 37____ 38_________ 39

Chunks:

(ChunkerEvaluator) Sentence #345 from 00101535 from sent51

Text  : Jaki to wszystko ma związek z edukacją ?
Tokens: 1___ 2_ 3_______ 4_ 5______ 6 7_______ 8

Chunks:

(ChunkerEvaluator) Sentence #346 from 00101535 from sent52

Text  : Oczywisty i znów wracamy do jednego z lejtmotywów tego bloga ._
Tokens: 1________ 2 3___ 4______ 5_ 6______ 7 8__________ 9___ 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #347 from 00101535 from sent53

Text  : System kształcenia , w którym jeden mówi , a kilkudziesięciu słucha i_ zapamiętuje musi odejść do lamusa ,_ bo po prostu nie tak funkcjonuje współczesny świat ._
Tokens: 1_____ 2__________ 3 4 5_____ 6____ 7___ 8 9 10_____________ 11____ 12 13_________ 14__ 15____ 16 17____ 18 19 20 21____ 22_ 23_ 24_________ 25_________ 26___ 27

Chunks:

(ChunkerEvaluator) Sentence #348 from 00101535 from sent54

Text  : Nie mówię , że że już odszedł , bo niewiele na to wskazuje (_ niestety )_ ,_ ale w_ coraz mniejszym stopniu przystaje do rzeczywistości ,_ potrzeb i_ stylu pracy ucznia ._
Tokens: 1__ 2____ 3 4_ 5_ 6__ 7______ 8 9_ 10______ 11 12 13______ 14 15______ 16 17 18_ 19 20___ 21_______ 22_____ 23_______ 24 25____________ 26 27_____ 28 29___ 30___ 31____ 32

Chunks:

2017-06-14 20:27:41,540 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 22 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101564.xml
(ChunkerEvaluator) Sentence #349 from 00101564 from sent1

Text  : Umieścił em muła w stajni , sam zaś wszedł em do izby ,_ gdzie znalazł em resztki wieczerzy ,_ mianowicie pasztet z_ kuropatw ,_ chleb i_ flaszę alikantu ._
Tokens: 1_______ 2_ 3___ 4 5_____ 6 7__ 8__ 9_____ 10 11 12__ 13 14___ 15_____ 16 17_____ 18_______ 19 20________ 21_____ 22 23______ 24 25___ 26 27____ 28______ 29

Chunks:

(ChunkerEvaluator) Sentence #350 from 00101564 from sent2

Text  : Od Andujar nic w ustach nie miałem , sądził em więc ,_ że potrzeba nadaje mi prawa do pasztetu ,_ który skądinąd był bez właściciela ._
Tokens: 1_ 2______ 3__ 4 5_____ 6__ 7_____ 8 9_____ 10 11__ 12 13 14______ 15____ 16 17___ 18 19______ 20 21___ 22______ 23_ 24_ 25_________ 26

Chunks:
  TruePositive nam [2,2] = Andujar (confidence=0.63)

(ChunkerEvaluator) Sentence #351 from 00101564 from sent3

Text  : Był em także mocno spragniony , ugasił em więc pragnienie ,_ wprawdzie może nieco zbyt gwałtownie ,_ gdyż wino uderzyło mi do głowy ,_ ale spostrzegł em się poniewczasie ._
Tokens: 1__ 2_ 3____ 4____ 5_________ 6 7_____ 8_ 9___ 10________ 11 12_______ 13__ 14___ 15__ 16________ 17 18__ 19__ 20______ 21 22 23___ 24 25_ 26________ 27 28_ 29__________ 30

Chunks:

(ChunkerEvaluator) Sentence #352 from 00101564 from sent4

Text  : W izbie stało dość porządne łóżko , rozebrał em się ,_ położył em i_ zasnął em ._
Tokens: 1 2____ 3____ 4___ 5_______ 6____ 7 8_______ 9_ 10_ 11 12_____ 13 14 15____ 16 17

Chunks:

(ChunkerEvaluator) Sentence #353 from 00101564 from sent5

Text  : Nagle , nie wiem z jakiego powodu , obudził em się i_ usłyszał em zegar bijący północ ._
Tokens: 1____ 2 3__ 4___ 5 6______ 7_____ 8 9______ 10 11_ 12 13______ 14 15___ 16____ 17____ 18

Chunks:

(ChunkerEvaluator) Sentence #354 from 00101564 from sent6

Text  : Myślał em , że w pobliżu jest jakiś klasztor ,_ i_ postanowił em zwiedzić go nazajutrz ._
Tokens: 1_____ 2_ 3 4_ 5 6______ 7___ 8____ 9_______ 10 11 12________ 13 14______ 15 16_______ 17

Chunks:

(ChunkerEvaluator) Sentence #355 from 00101564 from sent7

Text  : Wkrótce potem doszedł mnie hałas z podwórza ; sądził em ,_ że moi służący powrócili ,_ ale jakież było moje zdziwienie ,_ gdy ujrzał em wchodzącą ciotkę Antonię wraz z_ jej powiernicą Mańką ._
Tokens: 1______ 2____ 3______ 4___ 5____ 6 7_______ 8 9_____ 10 11 12 13_ 14_____ 15_______ 16 17_ 18____ 19__ 20__ 21________ 22 23_ 24____ 25 26_______ 27____ 28_____ 29__ 30 31_ 32________ 33___ 34

Chunks:
  TruePositive nam [28,28] = Antonię (confidence=0.96)
  TruePositive nam [33,33] = Mańką (confidence=1.00)

(ChunkerEvaluator) Sentence #356 from 00101564 from sent8

Text  : Ta ostatnia niosła latarnię z dwiema świecami , ciotka zaś trzymała zwój papierów w_ ręku ._
Tokens: 1_ 2_______ 3_____ 4_______ 5 6_____ 7_______ 8 9_____ 10_ 11______ 12__ 13______ 14 15__ 16

Chunks:

(ChunkerEvaluator) Sentence #357 from 00101564 from sent9

Text  : - Kochany synowcze - rzekła do mnie - twój ojciec nas tu przysłał ,_ aby śmy ci wręczyły ważne papiery ._
Tokens: 1 2______ 3_______ 4 5_____ 6_ 7___ 8 9___ 10____ 11_ 12 13______ 14 15_ 16_ 17 18______ 19___ 20_____ 21

Chunks:

(ChunkerEvaluator) Sentence #358 from 00101564 from sent10

Text  : Wziął em papiery i przeczytał em napis : „ Wykazanie kwadratury koła "_ ._
Tokens: 1____ 2_ 3______ 4 5_________ 6_ 7____ 8 9 10_______ 11________ 12__ 13 14

Chunks:

(ChunkerEvaluator) Sentence #359 from 00101564 from sent11

Text  : Wiedział em dobrze , że mój ojciec nigdy się nie zajmował tym czczym zagadnieniem ._
Tokens: 1_______ 2_ 3_____ 4 5_ 6__ 7_____ 8____ 9__ 10_ 11______ 12_ 13____ 14__________ 15

Chunks:

(ChunkerEvaluator) Sentence #360 from 00101564 from sent12

Text  : Zadziwiony , rozwinął em papiery , ale wnet z oburzeniem spostrzegł em że mniemana kwadratura jest znaną teorią Dinostrata ,_ popartą dowodzeniem ,_ w_ którym poznał em rękę mego ojca ,_ ale nie jego głowę ._
Tokens: 1_________ 2 3_______ 4_ 5______ 6 7__ 8___ 9 10________ 11________ 12 13 14______ 15________ 16__ 17___ 18____ 19________ 20 21_____ 22_________ 23 24 25____ 26____ 27 28__ 29__ 30__ 31 32_ 33_ 34__ 35___ 36

Chunks:
  TruePositive nam [19,19] = Dinostrata (confidence=0.96)

(ChunkerEvaluator) Sentence #361 from 00101564 from sent13

Text  : W istocie spostrzegł em , że przytoczone dowody są tylko nędznymi paralogizmami ._
Tokens: 1 2______ 3_________ 4_ 5 6_ 7__________ 8_____ 9_ 10___ 11______ 12___________ 13

Chunks:

(ChunkerEvaluator) Sentence #362 from 00101564 from sent14

Text  : Tymczasem moja ciotka zwróciła mi uwagę , że zajął em jedyne łóżko w_ gospodzie ,_ i_ zażądała ,_ ażebym jej połowę ustąpił ._
Tokens: 1________ 2___ 3_____ 4_______ 5_ 6____ 7 8_ 9____ 10 11____ 12___ 13 14_______ 15 16 17______ 18 19____ 20_ 21____ 22_____ 23

Chunks:

(ChunkerEvaluator) Sentence #363 from 00101564 from sent15

Text  : Był em tak zmartwiony myślą , że mój ojciec mógł popaść w_ podobne błędy ,_ że nie słuchał em tego wszystkiego ,_ co mi mówiła ._
Tokens: 1__ 2_ 3__ 4_________ 5____ 6 7_ 8__ 9_____ 10__ 11____ 12 13_____ 14___ 15 16 17_ 18_____ 19 20__ 21_________ 22 23 24 25____ 26

Chunks:

(ChunkerEvaluator) Sentence #364 from 00101564 from sent16

Text  : Bez zastanowienia zrobił em jej miejsce , podczas gdy Marika sadowiła się w_ nogach ,_ wspierając głowę na moich kolanach ._
Tokens: 1__ 2____________ 3_____ 4_ 5__ 6______ 7 8______ 9__ 10____ 11______ 12_ 13 14____ 15 16________ 17___ 18 19___ 20______ 21

Chunks:
  TruePositive nam [10,10] = Marika (confidence=1.00)

(ChunkerEvaluator) Sentence #365 from 00101564 from sent17

Text  : Znowu zagłębił em się nad dowodzeniem i czy to alikant uderzył mi do głowy ,_ czy też miałem wzrok oczarowany ,_ słowem ,_ nie pojmuję ,_ jak się to stało ,_ ale znalazł em dowody mniej błędnymi ,_ po trzecim zaś odczytaniu był em zupełnie przekonany ._
Tokens: 1____ 2_______ 3_ 4__ 5__ 6__________ 7 8__ 9_ 10_____ 11_____ 12 13 14___ 15 16_ 17_ 18____ 19___ 20________ 21 22____ 23 24_ 25_____ 26 27_ 28_ 29 30___ 31 32_ 33_____ 34 35____ 36___ 37______ 38 39 40_____ 41_ 42________ 43_ 44 45______ 46________ 47

Chunks:

2017-06-14 20:27:41,650 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 23 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101582.xml
(ChunkerEvaluator) Sentence #366 from 00101582 from sent1

Text  : Za nieudaną należy uznać próbę dywersyfikacji dostaw gazu do Polski poprzez zawarcie 20 -_ letniej umowy z_ Katarem na dostawę gazu skroplonego ._
Tokens: 1_ 2_______ 3_____ 4____ 5____ 6_____________ 7_____ 8___ 9_ 10____ 11_____ 12______ 13 14 15_____ 16___ 17 18_____ 19 20_____ 21__ 22_________ 23

Chunks:
  TruePositive nam [10,10] = Polski (confidence=1.00)
  TruePositive nam [18,18] = Katarem (confidence=1.00)

(ChunkerEvaluator) Sentence #367 from 00101582 from sent2

Text  : Dostarczony 1 mln ton gazu skroplonego na rok stanowi tylko kilka procent rocznego zużycia ,_ a_ przy rosnącej konsumpcji udział ten będzie malał ._
Tokens: 1__________ 2 3__ 4__ 5___ 6__________ 7_ 8__ 9______ 10___ 11___ 12_____ 13______ 14_____ 15 16 17__ 18______ 19________ 20____ 21_ 22____ 23___ 24

Chunks:

(ChunkerEvaluator) Sentence #368 from 00101582 from sent3

Text  : Poważne wątpliwości budzi też cena – 550 dolarów za tonę ,_ w_ przeliczeniu oczywiście na m3 to jest ok ._ 160 albo może 200 %_ więcej niż za gaz uzyskiwany z_ kontraktu rosyjskiego ._
Tokens: 1______ 2__________ 3____ 4__ 5___ 6 7__ 8______ 9_ 10__ 11 12 13__________ 14________ 15 16 17 18__ 19 20 21_ 22__ 23__ 24_ 25 26____ 27_ 28 29_ 30________ 31 32_______ 33_________ 34

Chunks:
  FalseNegative nam [8,8] = dolarów

(ChunkerEvaluator) Sentence #369 from 00101582 from sent4

Text  : Dodatkowo konieczne jest poniesienie kosztów rozbudowy infrastruktury gazowniczej na lądzie ,_ a_ więc budowy terminalu na Bałtyku ,_ oraz kosztów transportu ,_ tym bardziej że Polska nie posiada floty metanowców ._
Tokens: 1________ 2________ 3___ 4__________ 5______ 6________ 7_____________ 8__________ 9_ 10____ 11 12 13__ 14____ 15_______ 16 17_____ 18 19__ 20_____ 21________ 22 23_ 24______ 25 26____ 27_ 28_____ 29___ 30________ 31

Chunks:
  TruePositive nam [17,17] = Bałtyku (confidence=1.00)
  TruePositive nam [26,26] = Polska (confidence=1.00)

(ChunkerEvaluator) Sentence #370 from 00101582 from sent5

Text  : Koszt budowy terminala o przepustowości 5 mld m3 i zakup floty metanowców to ok ._ 3_ ,_ 5_ mld zł ._
Tokens: 1____ 2_____ 3________ 4 5_____________ 6 7__ 8_ 9 10___ 11___ 12________ 13 14 15 16 17 18 19_ 20 21

Chunks:
  TruePositive nam [20,20] = zł (confidence=0.98)

(ChunkerEvaluator) Sentence #371 from 00101582 from sent6

Text  : Czyżby za ten dywersyfikacyjny pomysł mieli znowu zapłacić polscy konsumenci ?_
Tokens: 1_____ 2_ 3__ 4_______________ 5_____ 6____ 7____ 8_______ 9_____ 10________ 11

Chunks:

(ChunkerEvaluator) Sentence #372 from 00101582 from sent7

Text  : Czy czasami nie będzie tak , że rząd Donalda Tuska ,_ nie potrafiąc zabezpieczyć polskich interesów w_ rozmowach ze stroną rosyjską i_ krajami Unii Europejskiej –_ mam tu na myśli budowę gazociągu bałtyckiego –_ doprowadzi do tego ,_ że będziemy mieli najdroższy gaz w_ Unii Europejskiej albo nie będziemy mieli zabezpieczonych dostaw ,_ jeśli chodzi o_ sensowne funkcjonowanie terminala LNG ?_
Tokens: 1__ 2______ 3__ 4_____ 5__ 6 7_ 8___ 9______ 10___ 11 12_ 13_______ 14__________ 15______ 16_______ 17 18_______ 19 20____ 21______ 22 23_____ 24__ 25__________ 26 27_ 28 29 30___ 31____ 32_______ 33_________ 34 35________ 36 37__ 38 39 40______ 41___ 42________ 43_ 44 45__ 46__________ 47__ 48_ 49______ 50___ 51_____________ 52____ 53 54___ 55____ 56 57______ 58____________ 59_______ 60_ 61

Chunks:
  TruePositive nam [9,10] = Donalda Tuska (confidence=1.00)
  TruePositive nam [24,25] = Unii Europejskiej (confidence=1.00)
  TruePositive nam [45,46] = Unii Europejskiej (confidence=1.00)
  FalsePositive nam [60,60] = LNG (confidence=0.96) (incorrect boundry)

(ChunkerEvaluator) Sentence #373 from 00101582 from sent8

Text  : Dobrym kierunkiem – i to trzeba zapisać in plus –_ jest przygotowanie realizacji strategii przechodzenia na energetykę jądrową poprzez planowaną budowę elektrowni atomowych ,_ tak by w_ latach 2020 i_ 2025 z_ tych elektrowni popłynęła pierwsza energia elektryczna ._
Tokens: 1_____ 2_________ 3 4 5_ 6_____ 7______ 8_ 9___ 10 11__ 12___________ 13________ 14_______ 15___________ 16 17________ 18_____ 19_____ 20_______ 21____ 22________ 23_______ 24 25_ 26 27 28____ 29__ 30 31__ 32 33__ 34________ 35_______ 36______ 37_____ 38_________ 39

Chunks:

(ChunkerEvaluator) Sentence #374 from 00101582 from sent9

Text  : Jeśli chodzi o opcje walutowe , jest to , a_ tak właściwie był to ważny problem ._
Tokens: 1____ 2_____ 3 4____ 5_______ 6 7___ 8_ 9 10 11_ 12_______ 13_ 14 15___ 16_____ 17

Chunks:

(ChunkerEvaluator) Sentence #375 from 00101582 from sent10

Text  : Rząd nie podjął żadnych działań osłaniających polską gospodarkę .
Tokens: 1___ 2__ 3_____ 4______ 5______ 6____________ 7_____ 8_________ 9

Chunks:

(ChunkerEvaluator) Sentence #376 from 00101582 from sent11

Text  : W konsekwencji upadło wiele firm , w tym także te giełdowe ._
Tokens: 1 2___________ 3_____ 4____ 5___ 6 7 8__ 9____ 10 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #377 from 00101582 from sent12

Text  : Stracili śmy tysiące miejsc pracy .
Tokens: 1_______ 2__ 3______ 4_____ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #378 from 00101582 from sent13

Text  : Z polskiej gospodarki do zagranicznych instytucji finansowych wyparowało do dziś ponad 25 mld zł ._
Tokens: 1 2_______ 3_________ 4_ 5____________ 6_________ 7__________ 8_________ 9_ 10__ 11___ 12 13_ 14 15

Chunks:
  TruePositive nam [14,14] = zł (confidence=0.99)

(ChunkerEvaluator) Sentence #379 from 00101582 from sent14

Text  : To są słowa pana wicepremiera Waldemara Pawlaka wypowiedziane tutaj z_ tej mównicy ._
Tokens: 1_ 2_ 3____ 4___ 5___________ 6________ 7______ 8____________ 9____ 10 11_ 12_____ 13

Chunks:
  TruePositive nam [6,7] = Waldemara Pawlaka (confidence=1.00)

(ChunkerEvaluator) Sentence #380 from 00101582 from sent15

Text  : Proponowali śmy zamianę opcji walutowych na regularne kredyty , które państwo będzie stopniowo wykupywać ._
Tokens: 1__________ 2__ 3______ 4____ 5_________ 6_ 7________ 8______ 9 10___ 11_____ 12____ 13_______ 14_______ 15

Chunks:

(ChunkerEvaluator) Sentence #381 from 00101582 from sent16

Text  : Miało to uwolnić przedsiębiorstwa , które miały dobrą kondycję i_ były w_ dobrym stanie ,_ od tych negatywnych konsekwencji ._
Tokens: 1____ 2_ 3______ 4_______________ 5 6____ 7____ 8____ 9_______ 10 11__ 12 13____ 14____ 15 16 17__ 18_________ 19__________ 20

Chunks:

(ChunkerEvaluator) Sentence #382 from 00101582 from sent17

Text  : Było to realne do wykonania , jednak rozmijało się z_ liberalnym podejściem do gospodarki ._
Tokens: 1___ 2_ 3_____ 4_ 5________ 6 7_____ 8________ 9__ 10 11________ 12________ 13 14________ 15

Chunks:

(ChunkerEvaluator) Sentence #383 from 00101582 from sent18

Text  : Budżet stracił kilka miliardów złotych niezapłaconych podatków , gospodarka dwadzieścia kilka miliardów złotych środków inwestycyjnych ,_ a_ tysiące osób swoje miejsca pracy ._
Tokens: 1_____ 2______ 3____ 4________ 5______ 6_____________ 7_______ 8 9_________ 10_________ 11___ 12_______ 13_____ 14_____ 15____________ 16 17 18_____ 19__ 20___ 21_____ 22___ 23

Chunks:
  FalsePositive nam [1,1] = Budżet (confidence=0.65) (incorrect boundry)
  FalseNegative nam [5,5] = złotych
  FalseNegative nam [13,13] = złotych

2017-06-14 20:27:41,752 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 24 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101595.xml
(ChunkerEvaluator) Sentence #384 from 00101595 from sent1

Text  : Stwierdzam , że Sejm wobec nieuzyskania bezwzględnej większości głosów poprawkę Senatu przyjął ._
Tokens: 1_________ 2 3_ 4___ 5____ 6___________ 7___________ 8_________ 9_____ 10______ 11____ 12_____ 13

Chunks:
  TruePositive nam [4,4] = Sejm (confidence=1.00)
  TruePositive nam [11,11] = Senatu (confidence=0.87)

(ChunkerEvaluator) Sentence #385 from 00101595 from sent2

Text  : W 5 . poprawce do art . 88b Senat proponuje skreślić ust ._ 3_ ._
Tokens: 1 2 3 4_______ 5_ 6__ 7 8__ 9____ 10_______ 11______ 12_ 13 14 15

Chunks:
  FalseNegative nam [9,9] = Senat

(ChunkerEvaluator) Sentence #386 from 00101595 from sent3

Text  : Komisja wnosi o przyjęcie tej poprawki .
Tokens: 1______ 2____ 3 4________ 5__ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #387 from 00101595 from sent4

Text  : Przystępujemy do głosowania .
Tokens: 1____________ 2_ 3_________ 4

Chunks:

(ChunkerEvaluator) Sentence #388 from 00101595 from sent5

Text  : Kto z pań i panów posłów jest za odrzuceniem 5_ ._ poprawki Senatu ,_ zechce podnieść rękę i_ nacisnąć przycisk ._
Tokens: 1__ 2 3__ 4 5____ 6_____ 7___ 8_ 9__________ 10 11 12______ 13____ 14 15____ 16______ 17__ 18 19______ 20______ 21

Chunks:
  TruePositive nam [13,13] = Senatu (confidence=0.88)

(ChunkerEvaluator) Sentence #389 from 00101595 from sent6

Text  : Kto jest przeciw ?
Tokens: 1__ 2___ 3______ 4

Chunks:

(ChunkerEvaluator) Sentence #390 from 00101595 from sent7

Text  : Kto się wstrzymał ?
Tokens: 1__ 2__ 3________ 4

Chunks:

(ChunkerEvaluator) Sentence #391 from 00101595 from sent8

Text  : W głosowaniu wzięło udział 429 posłów .
Tokens: 1 2_________ 3_____ 4_____ 5__ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #392 from 00101595 from sent9

Text  : Większość bezwzględna wynosi 215 .
Tokens: 1________ 2__________ 3_____ 4__ 5

Chunks:

(ChunkerEvaluator) Sentence #393 from 00101595 from sent10

Text  : 1 osoba była za , 428 – przeciw .
Tokens: 1 2____ 3___ 4_ 5 6__ 7 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #394 from 00101595 from sent11

Text  : Stwierdzam , że Sejm wobec nieuzyskania bezwzględnej większości głosów poprawkę Senatu przyjął ._
Tokens: 1_________ 2 3_ 4___ 5____ 6___________ 7___________ 8_________ 9_____ 10______ 11____ 12_____ 13

Chunks:
  TruePositive nam [4,4] = Sejm (confidence=1.00)
  TruePositive nam [11,11] = Senatu (confidence=0.87)

(ChunkerEvaluator) Sentence #395 from 00101595 from sent12

Text  : W 6 . poprawce do art . 88f ust ._ 2_ Senat proponuje zmianę o_ charakterze legislacyjno -_ redakcyjnym ._
Tokens: 1 2 3 4_______ 5_ 6__ 7 8__ 9__ 10 11 12___ 13_______ 14____ 15 16_________ 17__________ 18 19_________ 20

Chunks:
  TruePositive nam [12,12] = Senat (confidence=0.67)

(ChunkerEvaluator) Sentence #396 from 00101595 from sent13

Text  : Komisja wnosi o przyjęcie tej poprawki .
Tokens: 1______ 2____ 3 4________ 5__ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #397 from 00101595 from sent14

Text  : Przystępujemy do głosowania .
Tokens: 1____________ 2_ 3_________ 4

Chunks:

(ChunkerEvaluator) Sentence #398 from 00101595 from sent15

Text  : Kto z pań i panów posłów jest za odrzuceniem 6_ ._ poprawki Senatu ,_ zechce podnieść rękę i_ nacisnąć przycisk ._
Tokens: 1__ 2 3__ 4 5____ 6_____ 7___ 8_ 9__________ 10 11 12______ 13____ 14 15____ 16______ 17__ 18 19______ 20______ 21

Chunks:
  TruePositive nam [13,13] = Senatu (confidence=0.88)

(ChunkerEvaluator) Sentence #399 from 00101595 from sent16

Text  : Kto jest przeciw ?
Tokens: 1__ 2___ 3______ 4

Chunks:

(ChunkerEvaluator) Sentence #400 from 00101595 from sent17

Text  : Kto się wstrzymał ?
Tokens: 1__ 2__ 3________ 4

Chunks:

(ChunkerEvaluator) Sentence #401 from 00101595 from sent18

Text  : W głosowaniu wzięło udział 433 posłów .
Tokens: 1 2_________ 3_____ 4_____ 5__ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #402 from 00101595 from sent19

Text  : Większość bezwzględna wynosi 217 .
Tokens: 1________ 2__________ 3_____ 4__ 5

Chunks:

(ChunkerEvaluator) Sentence #403 from 00101595 from sent20

Text  : 3 było za , 430 – przeciw .
Tokens: 1 2___ 3_ 4 5__ 6 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #404 from 00101595 from sent21

Text  : Stwierdzam , że Sejm wobec nieuzyskania bezwzględnej większości głosów poprawkę Senatu przyjął ._
Tokens: 1_________ 2 3_ 4___ 5____ 6___________ 7___________ 8_________ 9_____ 10______ 11____ 12_____ 13

Chunks:
  TruePositive nam [4,4] = Sejm (confidence=1.00)
  TruePositive nam [11,11] = Senatu (confidence=0.87)

(ChunkerEvaluator) Sentence #405 from 00101595 from sent22

Text  : W 7 . poprawce do art . 90 ust ._ 1_ pkt 2_ lit ._ b_ Senat proponuje ,_ aby prezes Krajowego Zarządu Gospodarki Wodnej przygotowywał między innymi plany zarządzania ryzykiem powodziowym dla obszarów dorzeczy ._
Tokens: 1 2 3 4_______ 5_ 6__ 7 8_ 9__ 10 11 12_ 13 14_ 15 16 17___ 18_______ 19 20_ 21____ 22_______ 23_____ 24________ 25____ 26___________ 27____ 28____ 29___ 30_________ 31______ 32_________ 33_ 34______ 35______ 36

Chunks:
  TruePositive nam [17,17] = Senat (confidence=0.90)
  TruePositive nam [22,25] = Krajowego Zarządu Gospodarki Wodnej (confidence=0.97)

(ChunkerEvaluator) Sentence #406 from 00101595 from sent23

Text  : Komisja wnosi o przyjęcie tej poprawki .
Tokens: 1______ 2____ 3 4________ 5__ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #407 from 00101595 from sent24

Text  : Przystępujemy do głosowania .
Tokens: 1____________ 2_ 3_________ 4

Chunks:

(ChunkerEvaluator) Sentence #408 from 00101595 from sent25

Text  : Kto z pań i panów posłów jest za odrzuceniem 7_ ._ poprawki Senatu ,_ zechce podnieść rękę i_ nacisnąć przycisk ._
Tokens: 1__ 2 3__ 4 5____ 6_____ 7___ 8_ 9__________ 10 11 12______ 13____ 14 15____ 16______ 17__ 18 19______ 20______ 21

Chunks:
  TruePositive nam [13,13] = Senatu (confidence=0.88)

(ChunkerEvaluator) Sentence #409 from 00101595 from sent26

Text  : Kto jest przeciw ?
Tokens: 1__ 2___ 3______ 4

Chunks:

(ChunkerEvaluator) Sentence #410 from 00101595 from sent27

Text  : Kto się wstrzymał ?
Tokens: 1__ 2__ 3________ 4

Chunks:

(ChunkerEvaluator) Sentence #411 from 00101595 from sent28

Text  : W głosowaniu wzięło udział 432 posłów .
Tokens: 1 2_________ 3_____ 4_____ 5__ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #412 from 00101595 from sent29

Text  : Większość bezwzględna wynosi 217 .
Tokens: 1________ 2__________ 3_____ 4__ 5

Chunks:

(ChunkerEvaluator) Sentence #413 from 00101595 from sent30

Text  : 1 osoba była za , 431 – przeciw .
Tokens: 1 2____ 3___ 4_ 5 6__ 7 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #414 from 00101595 from sent31

Text  : Stwierdzam , że Sejm wobec nieuzyskania bezwzględnej większości głosów poprawkę Senatu przyjął ._
Tokens: 1_________ 2 3_ 4___ 5____ 6___________ 7___________ 8_________ 9_____ 10______ 11____ 12_____ 13

Chunks:
  TruePositive nam [4,4] = Sejm (confidence=1.00)
  TruePositive nam [11,11] = Senatu (confidence=0.87)

(ChunkerEvaluator) Sentence #415 from 00101595 from sent32

Text  : W 8 . poprawce do art . 93 ust ._ 6_ Senat proponuje zmianę o_ charakterze redakcyjnym ._
Tokens: 1 2 3 4_______ 5_ 6__ 7 8_ 9__ 10 11 12___ 13_______ 14____ 15 16_________ 17_________ 18

Chunks:
  TruePositive nam [12,12] = Senat (confidence=0.63)

(ChunkerEvaluator) Sentence #416 from 00101595 from sent33

Text  : Komisja wnosi o przyjęcie tej poprawki .
Tokens: 1______ 2____ 3 4________ 5__ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #417 from 00101595 from sent34

Text  : Przystępujemy do głosowania .
Tokens: 1____________ 2_ 3_________ 4

Chunks:

(ChunkerEvaluator) Sentence #418 from 00101595 from sent35

Text  : Kto z pań i panów posłów jest za odrzuceniem 8_ ._ poprawki Senatu ,_ zechce podnieść rękę i_ nacisnąć przycisk ._
Tokens: 1__ 2 3__ 4 5____ 6_____ 7___ 8_ 9__________ 10 11 12______ 13____ 14 15____ 16______ 17__ 18 19______ 20______ 21

Chunks:
  TruePositive nam [13,13] = Senatu (confidence=0.88)

(ChunkerEvaluator) Sentence #419 from 00101595 from sent36

Text  : Kto jest przeciw ?
Tokens: 1__ 2___ 3______ 4

Chunks:

(ChunkerEvaluator) Sentence #420 from 00101595 from sent37

Text  : Kto się wstrzymał ?
Tokens: 1__ 2__ 3________ 4

Chunks:

(ChunkerEvaluator) Sentence #421 from 00101595 from sent38

Text  : W głosowaniu wzięło udział 432 posłów .
Tokens: 1 2_________ 3_____ 4_____ 5__ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #422 from 00101595 from sent39

Text  : Większość bezwzględna wynosi 217 .
Tokens: 1________ 2__________ 3_____ 4__ 5

Chunks:

(ChunkerEvaluator) Sentence #423 from 00101595 from sent40

Text  : 2 posłów było za , 430 – przeciw .
Tokens: 1 2_____ 3___ 4_ 5 6__ 7 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #424 from 00101595 from sent41

Text  : Stwierdzam , że Sejm wobec nieuzyskania bezwzględnej większości głosów poprawkę Senatu przyjął ._
Tokens: 1_________ 2 3_ 4___ 5____ 6___________ 7___________ 8_________ 9_____ 10______ 11____ 12_____ 13

Chunks:
  TruePositive nam [4,4] = Sejm (confidence=1.00)
  TruePositive nam [11,11] = Senatu (confidence=0.87)

(ChunkerEvaluator) Sentence #425 from 00101595 from sent42

Text  : W 9 . poprawce do art . 110 Senat w_ nowym brzmieniu ust ._ 3_ i_ 4_ proponuje ,_ aby wymienione w_ tym przepisie podmioty udostępniały nieodpłatnie wskazane informacje także szkołom wyższym oraz instytutom naukowo -_ badawczym ._
Tokens: 1 2 3 4_______ 5_ 6__ 7 8__ 9____ 10 11___ 12_______ 13_ 14 15 16 17 18_______ 19 20_ 21________ 22 23_ 24_______ 25______ 26__________ 27__________ 28______ 29________ 30___ 31_____ 32_____ 33__ 34________ 35_____ 36 37_______ 38

Chunks:
  TruePositive nam [9,9] = Senat (confidence=0.65)

2017-06-14 20:27:41,884 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 25 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101596.xml
(ChunkerEvaluator) Sentence #426 from 00101596 from sent1

Text  : Gdy czytam książki krytyczne , filozoficzne pisane przez poważnych pisarzów angielskich lub francuskich ,_ jak np ._ teraz R_ ._ Inge o_ mistykach angielskich ,_ a_ przedewszystkiem rozdziały o_ Wordsworth ’_ cie ,_ Browningu ,_ doznaję uczucia ,_ a_ właściwie widzę dokładnie ,_ że był by m_ w_ stanie pracować na tym poziomie ._
Tokens: 1__ 2_____ 3______ 4________ 5 6___________ 7_____ 8____ 9________ 10______ 11_________ 12_ 13_________ 14 15_ 16 17 18___ 19 20 21__ 22 23_______ 24_________ 25 26 27______________ 28_______ 29 30________ 31 32_ 33 34_______ 35 36_____ 37_____ 38 39 40_______ 41___ 42_______ 43 44 45_ 46 47 48 49____ 50______ 51 52_ 53______ 54

Chunks:
  TruePositive nam [19,21] = R . Inge (confidence=1.00)
  TruePositive nam [30,32] = Wordsworth ’ cie (confidence=0.99)
  TruePositive nam [34,34] = Browningu (confidence=1.00)

(ChunkerEvaluator) Sentence #427 from 00101596 from sent2

Text  : Przez to określenie » na tym poziomie « rozumiem ,_ że posiadam aparat ogólnego przygotowania kulturalno -_ literackiego wystarczający ,_ by nadać mojemu głosowi ważkość i_ konsystencyę zewnętrzną ,_ zabezpieczające prawo do mównicy ._
Tokens: 1____ 2_ 3_________ 4 5_ 6__ 7_______ 8 9_______ 10 11 12______ 13____ 14______ 15___________ 16________ 17 18__________ 19___________ 20 21 22___ 23____ 24_____ 25_____ 26 27__________ 28________ 29 30_____________ 31___ 32 33_____ 34

Chunks:

(ChunkerEvaluator) Sentence #428 from 00101596 from sent3

Text  : Zdaje mi się bowiem , że myślowo był by m_ w_ stanie dać więcej ,_ sięgnąć głębiej już dziś nawet na obcem terytoryum ._
Tokens: 1____ 2_ 3__ 4_____ 5 6_ 7______ 8__ 9_ 10 11 12____ 13_ 14____ 15 16_____ 17_____ 18_ 19__ 20___ 21 22___ 23________ 24

Chunks:

(ChunkerEvaluator) Sentence #429 from 00101596 from sent4

Text  : Ciężkie i smutne nieraz godziny przeżyte z Grammar of Assent Newmana ,_ jego Apologią ._
Tokens: 1______ 2 3_____ 4_____ 5______ 6_______ 7 8______ 9_ 10____ 11_____ 12 13__ 14______ 15

Chunks:
  TruePositive nam [14,14] = Apologią (confidence=0.68)
  FalsePositive nam [8,11] = Grammar of Assent Newmana (confidence=1.00) (incorrect boundry)
  FalseNegative nam [8,10] = Grammar of Assent
  FalseNegative nam [11,11] = Newmana

(ChunkerEvaluator) Sentence #430 from 00101596 from sent5

Text  : i listami przyniosły mi nieskończenie wiele pożytku .
Tokens: 1 2______ 3_________ 4_ 5____________ 6____ 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #431 from 00101596 from sent6

Text  : W obcowaniu z tym potężnym dobroczyńcą dusza moja zyskała pewne powinowactwo ze spokojem ,_ tak całkowicie jej dotąd obce ._
Tokens: 1 2________ 3 4__ 5_______ 6__________ 7____ 8___ 9______ 10___ 11__________ 12 13______ 14 15_ 16________ 17_ 18___ 19__ 20

Chunks:

(ChunkerEvaluator) Sentence #432 from 00101596 from sent7

Text  : Nie potrafię wypowiedzieć , jak nieskończenie wiele zawdzięczam Newmanowi ._
Tokens: 1__ 2_______ 3___________ 4 5__ 6____________ 7____ 8__________ 9________ 10

Chunks:
  TruePositive nam [9,9] = Newmanowi (confidence=0.98)

(ChunkerEvaluator) Sentence #433 from 00101596 from sent8

Text  : Cierpię , że nie mogę mieć wszystkich jego dzieł ._
Tokens: 1______ 2 3_ 4__ 5___ 6___ 7_________ 8___ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #434 from 00101596 from sent9

Text  : Jego książki są dla mnie jakby żywym , nieskończenie przekonywującym ,_ opanowującym światłością głosem ._
Tokens: 1___ 2______ 3_ 4__ 5___ 6____ 7____ 8 9____________ 10_____________ 11 12__________ 13_________ 14____ 15

Chunks:

(ChunkerEvaluator) Sentence #435 from 00101596 from sent10

Text  : Czytanie ich już jest zlewem światła i spokojnie ufającego rozumu ._
Tokens: 1_______ 2__ 3__ 4___ 5_____ 6______ 7 8________ 9________ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #436 from 00101596 from sent11

Text  : Być może nie dojrzeję nigdy do momentu , w którym potrafię spokojnie opowiedzieć ,_ co zaszło w_ głębokich warstwach mego umysłu i_ woli za wpływem Newmana ._
Tokens: 1__ 2___ 3__ 4_______ 5____ 6_ 7______ 8 9 10____ 11______ 12_______ 13_________ 14 15 16____ 17 18_______ 19_______ 20__ 21____ 22 23__ 24 25_____ 26_____ 27

Chunks:
  TruePositive nam [26,26] = Newmana (confidence=1.00)

(ChunkerEvaluator) Sentence #437 from 00101596 from sent12

Text  : Lubię jak zaklęcie te trzy litery J . H ._ N_ ._ —_ są one dla mnie jakby przypomnieniem ._
Tokens: 1____ 2__ 3_______ 4_ 5___ 6_____ 7 8 9 10 11 12 13 14 15_ 16_ 17__ 18___ 19____________ 20

Chunks:
  TruePositive nam [7,12] = J . H . N . (confidence=0.92)

(ChunkerEvaluator) Sentence #438 from 00101596 from sent13

Text  : Nie sądzę , aby Plato przedtem był dostępny dla mnie ,_ nie sądzę ,_ aby dostępne dla mnie były ciche ,_ głębokie ,_ oceaniczne i_ międzygwiezdne regiony poezyi ._
Tokens: 1__ 2____ 3 4__ 5____ 6_______ 7__ 8_______ 9__ 10__ 11 12_ 13___ 14 15_ 16______ 17_ 18__ 19__ 20___ 21 22______ 23 24________ 25 26____________ 27_____ 28____ 29

Chunks:
  TruePositive nam [5,5] = Plato (confidence=0.99)

(ChunkerEvaluator) Sentence #439 from 00101596 from sent14

Text  : Wszystko to zawdzięczam Newmanowi .
Tokens: 1_______ 2_ 3__________ 4________ 5

Chunks:
  TruePositive nam [4,4] = Newmanowi (confidence=1.00)

(ChunkerEvaluator) Sentence #440 from 00101596 from sent15

Text  : Ani Meredith , ani Browning , których nazwiska łączą się w_ mej myśli z_ tem trzeciem w_ jednem uczuciu kultu nie byli by podziałali tak trwale ,_ ani tak głęboko ._
Tokens: 1__ 2_______ 3 4__ 5_______ 6 7______ 8_______ 9____ 10_ 11 12_ 13___ 14 15_ 16______ 17 18____ 19_____ 20___ 21_ 22__ 23 24________ 25_ 26____ 27 28_ 29_ 30_____ 31

Chunks:
  TruePositive nam [2,2] = Meredith (confidence=0.99)
  TruePositive nam [5,5] = Browning (confidence=1.00)

(ChunkerEvaluator) Sentence #441 from 00101596 from sent16

Text  : Nie zdobył by m się na gorętszą sympatyę dla Wordsworth ’_ a_ ,_ dusza Coleridge ’_ a_ nawet ,_ którego wspólne nam –_ aż do przerażenia –_ słabości natury czynią mi tak blizkim ,_ którego nie wolno mi zdradzić ,_ gdyż jest mi bratem całych godzin upadku i_ wyczerpania –_ Coleridge nawet ,_ pomimo ,_ że te ciemne węzły zapewniać by mu się zdawały cieplejsze rozumienie –_ nie stał by mi się tak blizkim ,_ gdyby Grammar of Assent nie wyposażyła mego umysłu w_ męski organ tolerancyi ._
Tokens: 1__ 2_____ 3_ 4 5__ 6_ 7_______ 8_______ 9__ 10________ 11 12 13 14___ 15_______ 16 17 18___ 19 20_____ 21_____ 22_ 23 24 25 26_________ 27 28______ 29____ 30____ 31 32_ 33_____ 34 35_____ 36_ 37___ 38 39______ 40 41__ 42__ 43 44____ 45____ 46____ 47____ 48 49_________ 50 51_______ 52___ 53 54____ 55 56 57 58____ 59___ 60_______ 61 62 63_ 64_____ 65________ 66________ 67 68_ 69__ 70 71 72_ 73_ 74_____ 75 76___ 77_____ 78 79____ 80_ 81________ 82__ 83____ 84 85___ 86___ 87________ 88

Chunks:
  TruePositive nam [10,12] = Wordsworth ’ a (confidence=1.00)
  TruePositive nam [51,51] = Coleridge (confidence=0.64)
  TruePositive nam [77,79] = Grammar of Assent (confidence=1.00)
  FalsePositive nam [15,18] = Coleridge ’ a nawet (confidence=0.99) (incorrect boundry)
  FalseNegative nam [15,17] = Coleridge ’ a

(ChunkerEvaluator) Sentence #442 from 00101596 from sent17

Text  : Tolerancya i sympatya stają się łatwo centrami rozkładu i dezorganizacyi ,_ jeżeli myśl musi je krzywdzić ._
Tokens: 1_________ 2 3_______ 4____ 5__ 6____ 7_______ 8_______ 9 10____________ 11 12____ 13__ 14__ 15 16_______ 17

Chunks:

(ChunkerEvaluator) Sentence #443 from 00101596 from sent18

Text  : Newman – J . H . N . uchronił mię od tego niebezpieczeństwa ._
Tokens: 1_____ 2 3 4 5 6 7 8 9_______ 10_ 11 12__ 13_______________ 14

Chunks:
  TruePositive nam [1,1] = Newman (confidence=1.00)
  TruePositive nam [3,8] = J . H . N . (confidence=0.98)

2017-06-14 20:27:41,999 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 26 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101642.xml
(ChunkerEvaluator) Sentence #444 from 00101642 from sent1

Text  : Podsekretarz Stanu w Ministerstwie Rolnictwa i Rozwoju Wsi Artur Ławniczak :_
Tokens: 1___________ 2____ 3 4____________ 5________ 6 7______ 8__ 9____ 10_______ 11

Chunks:
  FalsePositive nam [4,10] = Ministerstwie Rolnictwa i Rozwoju Wsi Artur Ławniczak (confidence=1.00) (incorrect boundry)
  FalseNegative nam [4,8] = Ministerstwie Rolnictwa i Rozwoju Wsi
  FalseNegative nam [9,10] = Artur Ławniczak

(ChunkerEvaluator) Sentence #445 from 00101642 from sent2

Text  : Panie Marszałku !
Tokens: 1____ 2________ 3

Chunks:

(ChunkerEvaluator) Sentence #446 from 00101642 from sent3

Text  : Panie Posłanki i Panowie Posłowie !
Tokens: 1____ 2_______ 3 4______ 5_______ 6

Chunks:

(ChunkerEvaluator) Sentence #447 from 00101642 from sent4

Text  : Po zeszłorocznych problemach ze skupem wiśni podjęli śmy próbę zapobieżenia tym problemom w_ tym roku ._
Tokens: 1_ 2_____________ 3_________ 4_ 5_____ 6____ 7______ 8__ 9____ 10__________ 11_ 12_______ 13 14_ 15__ 16

Chunks:

(ChunkerEvaluator) Sentence #448 from 00101642 from sent5

Text  : Odbyli śmy co najmniej cztery duże merytoryczne spotkania z naszymi rolnikami ,_ z_ przetwórcami ._
Tokens: 1_____ 2__ 3_ 4_______ 5_____ 6___ 7___________ 8________ 9 10_____ 11_______ 12 13 14__________ 15

Chunks:

(ChunkerEvaluator) Sentence #449 from 00101642 from sent6

Text  : Jeśli chodzi o samą umowę , to wzór umowy faktycznie jest ._
Tokens: 1____ 2_____ 3 4___ 5____ 6 7_ 8___ 9____ 10________ 11__ 12

Chunks:

(ChunkerEvaluator) Sentence #450 from 00101642 from sent7

Text  : Mamy sygnały , że np . jeśli chodzi o skup towarów na mrożonki ,_ to praktycznie w_ każdym przypadku taka umowa kontraktacji jest podpisywana ,_ nawet z_ doprecyzowaną ceną ,_ oczywiście w_ odpowiednich widełkach finansowych ,_ co daje rolnikom gwarancję stabilności czy możliwość planowania w_ dłuższym czasie ._
Tokens: 1___ 2______ 3 4_ 5_ 6 7____ 8_____ 9 10__ 11_____ 12 13______ 14 15 16_________ 17 18____ 19_______ 20__ 21___ 22__________ 23__ 24_________ 25 26___ 27 28___________ 29__ 30 31________ 32 33__________ 34_______ 35_________ 36 37 38__ 39______ 40_______ 41_________ 42_ 43_______ 44________ 45 46______ 47____ 48

Chunks:

(ChunkerEvaluator) Sentence #451 from 00101642 from sent8

Text  : Drogie panie posłanki i panowie posłowie , bez tej współpracy sami rolnicy niestety na tym rynku nie wygrają i_ choćby dlatego powstał program promujący owoce i_ warzywa w_ szkole ,_ gdzie będzie dostarczany pakiet owoców ,_ warzyw ,_ świeże soki ._
Tokens: 1_____ 2____ 3_______ 4 5______ 6_______ 7 8__ 9__ 10________ 11__ 12_____ 13______ 14 15_ 16___ 17_ 18_____ 19 20____ 21_____ 22_____ 23_____ 24_______ 25___ 26 27_____ 28 29____ 30 31___ 32____ 33_________ 34____ 35____ 36 37____ 38 39____ 40__ 41

Chunks:

(ChunkerEvaluator) Sentence #452 from 00101642 from sent9

Text  : Kładziemy na ten program duży nacisk , bo ani rolnicy ,_ ani przetwórcy sami sobie nie poradzą ._
Tokens: 1________ 2_ 3__ 4______ 5___ 6_____ 7 8_ 9__ 10_____ 11 12_ 13________ 14__ 15___ 16_ 17_____ 18

Chunks:

(ChunkerEvaluator) Sentence #453 from 00101642 from sent10

Text  : Liczymy na to , że to będzie pierwszy program ,_ który skonsoliduje wysiłki i_ pozwoli na zwiększoną sprzedaż po cenach ,_ które będą gwarantowały przynajmniej zwrot kosztów oraz zysk na odtworzenie produkcji ._
Tokens: 1______ 2_ 3_ 4 5_ 6_ 7_____ 8_______ 9______ 10 11___ 12__________ 13_____ 14 15_____ 16 17________ 18______ 19 20____ 21 22___ 23__ 24__________ 25__________ 26___ 27_____ 28__ 29__ 30 31_________ 32_______ 33

Chunks:

(ChunkerEvaluator) Sentence #454 from 00101642 from sent11

Text  : Myślę , że jeśli chodzi o ten dialog , to niczego tutaj nie zaniedbali śmy ,_ do udziału w_ rozmowach były i_ są zapraszane wszystkie organizacje przetwórcze ,_ branżowe ._
Tokens: 1____ 2 3_ 4____ 5_____ 6 7__ 8_____ 9 10 11_____ 12___ 13_ 14________ 15_ 16 17 18_____ 19 20_______ 21__ 22 23 24________ 25_______ 26_________ 27_________ 28 29______ 30

Chunks:

(ChunkerEvaluator) Sentence #455 from 00101642 from sent12

Text  : Jest to proces zaplanowany na kilka najbliższych lat .
Tokens: 1___ 2_ 3_____ 4__________ 5_ 6____ 7___________ 8__ 9

Chunks:

(ChunkerEvaluator) Sentence #456 from 00101642 from sent13

Text  : Wicemarszałek Jerzy Szmajdziński :
Tokens: 1____________ 2____ 3___________ 4

Chunks:
  TruePositive nam [2,3] = Jerzy Szmajdziński (confidence=1.00)

(ChunkerEvaluator) Sentence #457 from 00101642 from sent14

Text  : Dziękuję bardzo .
Tokens: 1_______ 2_____ 3

Chunks:

(ChunkerEvaluator) Sentence #458 from 00101642 from sent15

Text  : Poseł Robert Telus :
Tokens: 1____ 2_____ 3____ 4

Chunks:
  TruePositive nam [2,3] = Robert Telus (confidence=1.00)

(ChunkerEvaluator) Sentence #459 from 00101642 from sent16

Text  : Panie marszałku , pan minister nie wykorzystał czasu , to może jeszcze ja ._
Tokens: 1____ 2________ 3 4__ 5_______ 6__ 7__________ 8____ 9 10 11__ 12_____ 13 14

Chunks:

(ChunkerEvaluator) Sentence #460 from 00101642 from sent17

Text  : ( Poruszenie na sali )
Tokens: 1 2_________ 3_ 4___ 5

Chunks:

(ChunkerEvaluator) Sentence #461 from 00101642 from sent18

Text  : ( Poseł Wojciech Mojzesowicz : Nie , wykorzystał czas ._ )_
Tokens: 1 2____ 3_______ 4__________ 5 6__ 7 8__________ 9___ 10 11

Chunks:
  TruePositive nam [3,4] = Wojciech Mojzesowicz (confidence=1.00)

(ChunkerEvaluator) Sentence #462 from 00101642 from sent19

Text  : Wicemarszałek Jerzy Szmajdziński :
Tokens: 1____________ 2____ 3___________ 4

Chunks:
  TruePositive nam [2,3] = Jerzy Szmajdziński (confidence=1.00)

(ChunkerEvaluator) Sentence #463 from 00101642 from sent20

Text  : Ale pan . . .
Tokens: 1__ 2__ 3 4 5

Chunks:

(ChunkerEvaluator) Sentence #464 from 00101642 from sent21

Text  : Poseł Robert Telus :
Tokens: 1____ 2_____ 3____ 4

Chunks:
  TruePositive nam [2,3] = Robert Telus (confidence=1.00)

(ChunkerEvaluator) Sentence #465 from 00101642 from sent22

Text  : Panie ministrze , ja tylko jedno zdanie .
Tokens: 1____ 2________ 3 4_ 5____ 6____ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #466 from 00101642 from sent23

Text  : Wicemarszałek Jerzy Szmajdziński :
Tokens: 1____________ 2____ 3___________ 4

Chunks:
  TruePositive nam [2,3] = Jerzy Szmajdziński (confidence=1.00)

(ChunkerEvaluator) Sentence #467 from 00101642 from sent24

Text  : Przepraszam , ale pan nie może korzystać z czasu ministra ,_ jak będzie pan ministrem ,_ będzie pan mógł w_ pełni z_ niego korzystać ._
Tokens: 1__________ 2 3__ 4__ 5__ 6___ 7________ 8 9____ 10______ 11 12_ 13____ 14_ 15_______ 16 17____ 18_ 19__ 20 21___ 22 23___ 24_______ 25

Chunks:

(ChunkerEvaluator) Sentence #468 from 00101642 from sent25

Text  : Poseł Robert Telus :
Tokens: 1____ 2_____ 3____ 4

Chunks:
  TruePositive nam [2,3] = Robert Telus (confidence=1.00)

(ChunkerEvaluator) Sentence #469 from 00101642 from sent26

Text  : Bo z wypowiedzi pana ministra wynika , że w rolnictwie jest bardzo dobrze ._ ._ ._
Tokens: 1_ 2 3_________ 4___ 5_______ 6_____ 7 8_ 9 10________ 11__ 12____ 13____ 14 15 16

Chunks:

(ChunkerEvaluator) Sentence #470 from 00101642 from sent27

Text  : Wicemarszałek Jerzy Szmajdziński :
Tokens: 1____________ 2____ 3___________ 4

Chunks:
  TruePositive nam [2,3] = Jerzy Szmajdziński (confidence=1.00)

(ChunkerEvaluator) Sentence #471 from 00101642 from sent28

Text  : Ale panie pośle . . .
Tokens: 1__ 2____ 3____ 4 5 6

Chunks:

(ChunkerEvaluator) Sentence #472 from 00101642 from sent29

Text  : Poseł Robert Telus :
Tokens: 1____ 2_____ 3____ 4

Chunks:
  TruePositive nam [2,3] = Robert Telus (confidence=1.00)

(ChunkerEvaluator) Sentence #473 from 00101642 from sent30

Text  : . . . ale skoro jest tak dobrze , to czemu jest tak źle ._
Tokens: 1 2 3 4__ 5____ 6___ 7__ 8_____ 9 10 11___ 12__ 13_ 14_ 15

Chunks:

2017-06-14 20:27:42,103 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 27 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101745.xml
(ChunkerEvaluator) Sentence #474 from 00101745 from sent1

Text  : Okazało się , że rowerzyści jednak robią zakupy .
Tokens: 1______ 2__ 3 4_ 5_________ 6_____ 7____ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #475 from 00101745 from sent2

Text  : Żeby się zbytnio nie rozochocili , stojaki pod centrum arkady są małe ,_ w_ końcu parking też mieści marne kilkaset samochodów ,_ a_ ilu może być rowerzystów ?_
Tokens: 1___ 2__ 3______ 4__ 5__________ 6 7______ 8__ 9______ 10____ 11 12__ 13 14 15___ 16_____ 17_ 18____ 19___ 20______ 21________ 22 23 24_ 25__ 26_ 27_________ 28

Chunks:
  FalseNegative nam [9,10] = centrum arkady

(ChunkerEvaluator) Sentence #476 from 00101745 from sent3

Text  : Dwudziestu ?
Tokens: 1_________ 2

Chunks:

(ChunkerEvaluator) Sentence #477 from 00101745 from sent4

Text  : Oczywiście to miłe , że już po dwóch miesiącach od otwarcia stojaki się pojawiły ,_ chociaż pod konkurencją na placu Grunwaldzkim były już od otwarcia ._
Tokens: 1_________ 2_ 3___ 4 5_ 6__ 7_ 8____ 9_________ 10 11______ 12_____ 13_ 14______ 15 16_____ 17_ 18_________ 19 20___ 21__________ 22__ 23_ 24 25______ 26

Chunks:
  TruePositive nam [20,21] = placu Grunwaldzkim (confidence=0.55)

(ChunkerEvaluator) Sentence #478 from 00101745 from sent5

Text  : Na obrazku można dodatkowo podziwiać uprzejmość kierowcy , który zaparkował na końcu ścieżki rowerowej ,_ a_ mógł przecież stanąć pod stojakiem na rowery ._
Tokens: 1_ 2______ 3____ 4________ 5________ 6_________ 7_______ 8 9____ 10________ 11 12___ 13_____ 14_______ 15 16 17__ 18______ 19____ 20_ 21_______ 22 23____ 24

Chunks:

(ChunkerEvaluator) Sentence #479 from 00101745 from sent6

Text  : Tymczasem w poszukiwaniu wszystkich wrocławskich rowerzystów wystarczy wybrać się kawałek dalej ._
Tokens: 1________ 2 3___________ 4_________ 5___________ 6__________ 7________ 8_____ 9__ 10_____ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #480 from 00101745 from sent7

Text  : Za centrum handlowym znajduje się stary dom towarowy , w_ którym mieści się obecnie HP ,_ a_ wkrótce znajdzie się tam także kolejna galeria ,_ mimo że tuż obok jest już jeszcze inna galeria ,_ znana ostatnio z_ tego ,_ że radny pobił tam policjanta ._
Tokens: 1_ 2______ 3________ 4_______ 5__ 6____ 7__ 8_______ 9 10 11____ 12____ 13_ 14_____ 15 16 17 18_____ 19______ 20_ 21_ 22___ 23_____ 24_____ 25 26__ 27 28_ 29__ 30__ 31_ 32_____ 33__ 34_____ 35 36___ 37______ 38 39__ 40 41 42___ 43___ 44_ 45________ 46

Chunks:
  TruePositive nam [15,15] = HP (confidence=1.00)

(ChunkerEvaluator) Sentence #481 from 00101745 from sent8

Text  : Pracownicy HP udają , że są w Amsterdamie czy innej Kopenhadze :_ Zaraz za rowerami znajdują się wizualizacje nowego domu towarowego ,_ zielona trawa ,_ szkło i_ beton ._
Tokens: 1_________ 2_ 3____ 4 5_ 6_ 7 8__________ 9__ 10___ 11________ 12 13___ 14 15______ 16______ 17_ 18__________ 19____ 20__ 21________ 22 23_____ 24___ 25 26___ 27 28___ 29

Chunks:
  TruePositive nam [2,2] = HP (confidence=0.99)
  TruePositive nam [8,8] = Amsterdamie (confidence=1.00)
  TruePositive nam [11,11] = Kopenhadze (confidence=1.00)

(ChunkerEvaluator) Sentence #482 from 00101745 from sent9

Text  : Ludzie łażą , samochody jeżdżą ( tu spory optymizm twórców widać -_ na pierwszym obrazku trzy samochody :_ BMW ,_ saab i_ porsche ,_ na kolejnych zresztą dość podobnie )_ ,_ nawet autobus się pojawił ._
Tokens: 1_____ 2___ 3 4________ 5_____ 6 7_ 8____ 9_______ 10_____ 11___ 12 13 14_______ 15_____ 16__ 17_______ 18 19_ 20 21__ 22 23_____ 24 25 26_______ 27_____ 28__ 29______ 30 31 32___ 33_____ 34_ 35_____ 36

Chunks:
  TruePositive nam [19,19] = BMW (confidence=0.98)
  FalseNegative nam [21,21] = saab
  FalseNegative nam [23,23] = porsche

(ChunkerEvaluator) Sentence #483 from 00101745 from sent10

Text  : Żadnych rowerzystów , żadnych stojaków .
Tokens: 1______ 2__________ 3 4______ 5_______ 6

Chunks:

(ChunkerEvaluator) Sentence #484 from 00101745 from sent11

Text  : Dobra wiadomość dla pracowników HP : szykują się podwyżki ._
Tokens: 1____ 2________ 3__ 4__________ 5_ 6 7______ 8__ 9_______ 10

Chunks:
  TruePositive nam [5,5] = HP (confidence=0.98)

2017-06-14 20:27:42,163 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 28 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101747.xml
(ChunkerEvaluator) Sentence #485 from 00101747 from sent1

Text  : Srebrni siatkarze i srebrni piłkarze ręczni grali świetnie przez całe turnieje (_ jedni bez ,_ drudzy z_ jedną porażką )_ ,_ żeby gładko przegrać w_ finałach ._
Tokens: 1______ 2________ 3 4______ 5_______ 6_____ 7____ 8_______ 9____ 10__ 11______ 12 13___ 14_ 15 16____ 17 18___ 19_____ 20 21 22__ 23____ 24______ 25 26______ 27

Chunks:

(ChunkerEvaluator) Sentence #486 from 00101747 from sent2

Text  : Jedni i drudzy zapewniali , że są gotowi wygrać ,_ że jeśli nie teraz to kiedy ,_ a_ Niemców mogą zlać z_ marszu ._
Tokens: 1____ 2 3_____ 4_________ 5 6_ 7_ 8_____ 9_____ 10 11 12___ 13_ 14___ 15 16___ 17 18 19_____ 20__ 21__ 22 23____ 24

Chunks:
  TruePositive nam [19,19] = Niemców (confidence=1.00)

(ChunkerEvaluator) Sentence #487 from 00101747 from sent3

Text  : Najwyraźniej jednak zapomnieli o dwóch równych skokach i zasłużyli ,_ żeby maskotką drużyny został Robert Mateja (_ uczeń Masahiko Harady )_ ._
Tokens: 1___________ 2_____ 3_________ 4 5____ 6______ 7______ 8 9________ 10 11__ 12______ 13_____ 14____ 15____ 16____ 17 18___ 19______ 20____ 21 22

Chunks:
  TruePositive nam [15,16] = Robert Mateja (confidence=1.00)
  TruePositive nam [19,20] = Masahiko Harady (confidence=1.00)

(ChunkerEvaluator) Sentence #488 from 00101747 from sent4

Text  : To też przypomina mi być może Steca , być może Zczuba ,_ że polski piłkarz stara się do pierwszej beemki ._
Tokens: 1_ 2__ 3_________ 4_ 5__ 6___ 7____ 8 9__ 10__ 11____ 12 13 14____ 15_____ 16___ 17_ 18 19_______ 20____ 21

Chunks:
  TruePositive nam [7,7] = Steca (confidence=0.86)
  TruePositive nam [11,11] = Zczuba (confidence=0.99)

(ChunkerEvaluator) Sentence #489 from 00101747 from sent5

Text  : Nie bramki , beemki .
Tokens: 1__ 2_____ 3 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #490 from 00101747 from sent6

Text  : Srebrny medal jest ładny , Polacy lubią gadać , zawsze mogą powiedzieć ,_ że Niemcy specjalnie zesłali ich do Hamburga ,_ miasta ,_ które dało swoją nazwę frankfurterkom ,_ żeby do złota Renu mieli daleko ._
Tokens: 1______ 2____ 3___ 4____ 5 6_____ 7____ 8____ 9 10____ 11__ 12________ 13 14 15____ 16________ 17_____ 18_ 19 20______ 21 22____ 23 24___ 25__ 26___ 27___ 28____________ 29 30__ 31 32___ 33__ 34___ 35____ 36

Chunks:
  TruePositive nam [6,6] = Polacy (confidence=0.99)
  TruePositive nam [15,15] = Niemcy (confidence=1.00)
  TruePositive nam [20,20] = Hamburga (confidence=1.00)
  TruePositive nam [33,33] = Renu (confidence=0.99)

(ChunkerEvaluator) Sentence #491 from 00101747 from sent7

Text  : Oczywiście na szczęście ani piłkarze ręczni , ani siatkarze aż tak głupio się nie tłumaczyli ,_ to tylko telewizja publiczna ,_ w_ końcu po tylu latach transmisji ze skoków trudno się odzwyczaić ._
Tokens: 1_________ 2_ 3________ 4__ 5_______ 6_____ 7 8__ 9________ 10 11_ 12____ 13_ 14_ 15________ 16 17 18___ 19_______ 20_______ 21 22 23___ 24 25__ 26____ 27________ 28 29____ 30____ 31_ 32________ 33

Chunks:

(ChunkerEvaluator) Sentence #492 from 00101747 from sent8

Text  : Nic się nie stało panie trenerze , powiedział buldog ._
Tokens: 1__ 2__ 3__ 4____ 5____ 6_______ 7 8_________ 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #493 from 00101747 from sent9

Text  : Z jednej strony medale w sportach zespołowych i wśród seniorów to miła odmiana ,_ z_ całym szacunkiem dla siatkarek i_ koszykarek ._
Tokens: 1 2_____ 3_____ 4_____ 5 6_______ 7__________ 8 9____ 10______ 11 12__ 13_____ 14 15 16___ 17________ 18_ 19_______ 20 21________ 22

Chunks:

(ChunkerEvaluator) Sentence #494 from 00101747 from sent10

Text  : Nietłumaczenie się głupio z porażki też raczej po stronie korzyści ._
Tokens: 1_____________ 2__ 3_____ 4 5______ 6__ 7_____ 8_ 9______ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #495 from 00101747 from sent11

Text  : Jednak dlaczego w kluczowych momentach się zawodzi ?
Tokens: 1_____ 2_______ 3 4_________ 5________ 6__ 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #496 from 00101747 from sent12

Text  : Po co heroiczne boje z Rosją i Danią ?
Tokens: 1_ 2_ 3________ 4___ 5 6____ 7 8____ 9

Chunks:
  TruePositive nam [6,6] = Rosją (confidence=1.00)
  TruePositive nam [8,8] = Danią (confidence=1.00)

(ChunkerEvaluator) Sentence #497 from 00101747 from sent13

Text  : Czy polscy zawodnicy są zbyt skromni ?
Tokens: 1__ 2_____ 3________ 4_ 5___ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #498 from 00101747 from sent14

Text  : Jakiś kompleks nie pozwala im uznać , że są godni złota ?_
Tokens: 1____ 2_______ 3__ 4______ 5_ 6____ 7 8_ 9_ 10___ 11___ 12

Chunks:

2017-06-14 20:27:42,230 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 29 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101748.xml
(ChunkerEvaluator) Sentence #499 from 00101748 from sent1

Text  : Holendrzy popijający mlekiem bułkę z salami nigdy nie przestali mnie dziwić ,_ chociaż może to tylko wariacja na temat baraniny z_ jogurtem czy wołowiny z_ parmezanem ._
Tokens: 1________ 2_________ 3______ 4____ 5 6_____ 7____ 8__ 9________ 10__ 11____ 12 13_____ 14__ 15 16___ 17______ 18 19___ 20______ 21 22______ 23_ 24______ 25 26________ 27

Chunks:
  FalseNegative nam [1,1] = Holendrzy

(ChunkerEvaluator) Sentence #500 from 00101748 from sent2

Text  : W końcu Kalwin popijał jajko kieliszkiem wina , a Holendrzy wszystko potrafią zreformować ._
Tokens: 1 2____ 3_____ 4______ 5____ 6__________ 7___ 8 9 10_______ 11______ 12______ 13_________ 14

Chunks:
  TruePositive nam [3,3] = Kalwin (confidence=1.00)
  TruePositive nam [10,10] = Holendrzy (confidence=0.99)

(ChunkerEvaluator) Sentence #501 from 00101748 from sent3

Text  : Winiarze zresztą nie byli w Holandii mile widziani , a_ tymczasem to właśnie w_ depresji winnica wydała plon ,_ w_ wyniku ponadświatowego spisku ,_ w_ którym epizodyczne role odegrali Fidel Castro ,_ Gawriło Princip i_ pewien zakonnik ,_ który dodatkowo potwierdza nabiałowe podłoże całej sprawy ._
Tokens: 1_______ 2______ 3__ 4___ 5 6_______ 7___ 8_______ 9 10 11_______ 12 13_____ 14 15______ 16_____ 17____ 18__ 19 20 21____ 22_____________ 23____ 24 25 26____ 27_________ 28__ 29______ 30___ 31____ 32 33_____ 34_____ 35 36____ 37______ 38 39___ 40_______ 41________ 42_______ 43_____ 44___ 45____ 46

Chunks:
  TruePositive nam [6,6] = Holandii (confidence=1.00)
  TruePositive nam [30,31] = Fidel Castro (confidence=1.00)
  TruePositive nam [33,34] = Gawriło Princip (confidence=1.00)

(ChunkerEvaluator) Sentence #502 from 00101748 from sent4

Text  : Bohaterowie świadomi swojej wartości , znawcy wszechświata i wszechrzeczy ,_ tańczą jak im zagrają na wiolonczeli i_ innych strunach ._
Tokens: 1__________ 2_______ 3_____ 4_______ 5 6_____ 7___________ 8 9___________ 10 11____ 12_ 13 14_____ 15 16_________ 17 18____ 19______ 20

Chunks:

(ChunkerEvaluator) Sentence #503 from 00101748 from sent5

Text  : Uczestniczą w miłosnym trójkącie , który okazuje się raczej trapezem ,_ na dodatek z_ obeliskiem pośrodku ._
Tokens: 1__________ 2 3_______ 4________ 5 6____ 7______ 8__ 9_____ 10______ 11 12 13_____ 14 15________ 16______ 17

Chunks:

(ChunkerEvaluator) Sentence #504 from 00101748 from sent6

Text  : Zostają ojcami , chociaż przede wszystkim swoimi , nawet jeżeli są tylko ich całkowitym przeciwieństwem ._
Tokens: 1______ 2_____ 3 4______ 5_____ 6________ 7_____ 8 9____ 10____ 11 12___ 13_ 14________ 15_____________ 16

Chunks:

(ChunkerEvaluator) Sentence #505 from 00101748 from sent7

Text  : W poszukiwaniu środka , bo tylko środka nam brakuje ,_ jeśli historia ma toczyć się kołem ,_ musi mieć środek ,_ którego nie mają przecież rzeczy ,_ które nie mają końca ,_ takie jak wszechświat ,_ trzeba przedostać się przez grafiki Eschera ,_ ukryte za renesansową fasadą ._
Tokens: 1 2___________ 3_____ 4 5_ 6____ 7_____ 8__ 9______ 10 11___ 12______ 13 14____ 15_ 16___ 17 18__ 19__ 20____ 21 22_____ 23_ 24__ 25______ 26____ 27 28___ 29_ 30__ 31___ 32 33___ 34_ 35_________ 36 37____ 38________ 39_ 40___ 41_____ 42_____ 43 44____ 45 46_________ 47____ 48

Chunks:
  TruePositive nam [42,42] = Eschera (confidence=0.93)

(ChunkerEvaluator) Sentence #506 from 00101748 from sent8

Text  : Wcześniej jednak trzeba odbyć podróż w towarzystwie Francisa Bacona ,_ który może się nawet okazać środkiem tej opowieści ._
Tokens: 1________ 2_____ 3_____ 4____ 5_____ 6 7___________ 8_______ 9_____ 10 11___ 12__ 13_ 14___ 15____ 16______ 17_ 18_______ 19

Chunks:
  TruePositive nam [8,9] = Francisa Bacona (confidence=1.00)

(ChunkerEvaluator) Sentence #507 from 00101748 from sent9

Text  : O ile " Odkrycie nieba " ma koniec , a_ Harry Mulisch nie napisał dzieł Szekspira ._
Tokens: 1 2__ 3 4_______ 5____ 6 7_ 8_____ 9 10 11___ 12_____ 13_ 14_____ 15___ 16_______ 17

Chunks:
  TruePositive nam [11,12] = Harry Mulisch (confidence=1.00)
  TruePositive nam [16,16] = Szekspira (confidence=1.00)
  FalseNegative nam [4,5] = Odkrycie nieba

2017-06-14 20:27:42,291 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 30 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101750.xml
(ChunkerEvaluator) Sentence #508 from 00101750 from sent1

Text  : Trzeba było tak Billowi dokładać ?
Tokens: 1_____ 2___ 3__ 4______ 5_______ 6

Chunks:
  TruePositive nam [4,4] = Billowi (confidence=1.00)

(ChunkerEvaluator) Sentence #509 from 00101750 from sent2

Text  : Zemsta nadeszła szybko , choć nie niespodziewanie .
Tokens: 1_____ 2_______ 3_____ 4 5___ 6__ 7______________ 8

Chunks:

(ChunkerEvaluator) Sentence #510 from 00101750 from sent3

Text  : Pierwsza rocznica wydania Visty w ręce konsumentów już niedługo ,_ a_ ja w_ ramach prezentu postanowił em sprawić sobie egzemplarz ._
Tokens: 1_______ 2_______ 3______ 4____ 5 6___ 7__________ 8__ 9_______ 10 11 12 13 14____ 15______ 16________ 17 18_____ 19___ 20________ 21

Chunks:
  TruePositive nam [4,4] = Visty (confidence=0.91)

(ChunkerEvaluator) Sentence #511 from 00101750 from sent4

Text  : Już po trzech dniach mam działający system .
Tokens: 1__ 2_ 3_____ 4_____ 5__ 6_________ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #512 from 00101750 from sent5

Text  : Wydawało by się , że po instalacji kilku dystrybucji Linuksa na różnych komputerach ,_ instalacja Windowsa nie będzie sprawiała większych problemów ._
Tokens: 1_______ 2_ 3__ 4 5_ 6_ 7_________ 8____ 9__________ 10_____ 11 12_____ 13_________ 14 15________ 16______ 17_ 18____ 19_______ 20_______ 21_______ 22

Chunks:
  TruePositive nam [10,10] = Linuksa (confidence=0.98)
  TruePositive nam [16,16] = Windowsa (confidence=1.00)

(ChunkerEvaluator) Sentence #513 from 00101750 from sent6

Text  : Spodziewał em się , że nie będzie się Viście podobało ,_ że dysk zarażony jest Linuksem ,_ więc dostała własny ._
Tokens: 1_________ 2_ 3__ 4 5_ 6__ 7_____ 8__ 9_____ 10______ 11 12 13__ 14______ 15__ 16______ 17 18__ 19_____ 20____ 21

Chunks:
  TruePositive nam [9,9] = Viście (confidence=0.95)
  TruePositive nam [16,16] = Linuksem (confidence=0.87)

(ChunkerEvaluator) Sentence #514 from 00101750 from sent7

Text  : Instalował em w ciemno , bo program do sprawdzenia ,_ czy komputer spełnia wymagania Visty ,_ działa tylko pod Windows ._
Tokens: 1_________ 2_ 3 4_____ 5 6_ 7______ 8_ 9__________ 10 11_ 12______ 13_____ 14_______ 15___ 16 17____ 18___ 19_ 20_____ 21

Chunks:
  TruePositive nam [15,15] = Visty (confidence=0.92)
  TruePositive nam [20,20] = Windows (confidence=0.99)

(ChunkerEvaluator) Sentence #515 from 00101750 from sent8

Text  : Po uruchomieniu płyty instalacyjnej , po chwili pojawia się kolorowy ekran i_ kursor ._
Tokens: 1_ 2___________ 3____ 4____________ 5 6_ 7_____ 8______ 9__ 10______ 11___ 12 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #516 from 00101750 from sent9

Text  : I nic się nie dzieje .
Tokens: 1 2__ 3__ 4__ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #517 from 00101750 from sent10

Text  : Na ekranie żadnych informacji , najmniejszego choćby " czekaj "_ (_ które później za to występuje obficie )_ ._
Tokens: 1_ 2______ 3______ 4_________ 5 6____________ 7_____ 8 9_____ 10 11 12___ 13_____ 14 15 16_______ 17_____ 18 19

Chunks:

(ChunkerEvaluator) Sentence #518 from 00101750 from sent11

Text  : Można się domyślać , co się dzieje .
Tokens: 1____ 2__ 3_______ 4 5_ 6__ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #519 from 00101750 from sent12

Text  : Vista formatuje dysk z Linuksem ?
Tokens: 1____ 2________ 3___ 4 5_______ 6

Chunks:
  TruePositive nam [5,5] = Linuksem (confidence=1.00)
  FalseNegative nam [1,1] = Vista

(ChunkerEvaluator) Sentence #520 from 00101750 from sent13

Text  : Vista próbuje połączyć się z Redmond i przesłać tam moje dane osobowe ?_
Tokens: 1____ 2______ 3_______ 4__ 5 6______ 7 8_______ 9__ 10__ 11__ 12_____ 13

Chunks:
  TruePositive nam [6,6] = Redmond (confidence=0.98)
  FalseNegative nam [1,1] = Vista

(ChunkerEvaluator) Sentence #521 from 00101750 from sent14

Text  : Vista sprawdza numery seryjne wszystkich podzespołów ?
Tokens: 1____ 2_______ 3_____ 4______ 5_________ 6__________ 7

Chunks:
  FalseNegative nam [1,1] = Vista

(ChunkerEvaluator) Sentence #522 from 00101750 from sent15

Text  : Wciąż nic się nie dzieje , akurat dotarł " Lód "_ Dukaja ,_ może zdążę przeczytać ,_ zanim wreszcie system zacznie się instalować ?_
Tokens: 1____ 2__ 3__ 4__ 5_____ 6 7_____ 8_____ 9 10_ 11 12____ 13 14__ 15___ 16________ 17 18___ 19______ 20____ 21_____ 22_ 23________ 24

Chunks:
  TruePositive nam [10,10] = Lód (confidence=0.99)
  TruePositive nam [12,12] = Dukaja (confidence=0.91)

(ChunkerEvaluator) Sentence #523 from 00101750 from sent16

Text  : Nareszcie - można wybrać dysk dla instalacji .
Tokens: 1________ 2 3____ 4_____ 5___ 6__ 7_________ 8

Chunks:

(ChunkerEvaluator) Sentence #524 from 00101750 from sent17

Text  : Wybieram , ale " System Windows nie może znaleźć woluminu systemowego spełniającego kryteria instalacji "_ ._
Tokens: 1_______ 2 3__ 4 5_____ 6______ 7__ 8___ 9______ 10______ 11_________ 12___________ 13______ 14________ 15 16

Chunks:
  FalsePositive nam [5,6] = System Windows (confidence=0.75) (incorrect boundry)
  FalseNegative nam [6,6] = Windows

(ChunkerEvaluator) Sentence #525 from 00101750 from sent18

Text  : Pomaga to , czego się spodziewał em - fizyczne odłączenie dysku linuksowego ._
Tokens: 1_____ 2_ 3 4____ 5__ 6_________ 7_ 8 9_______ 10________ 11___ 12_________ 13

Chunks:

(ChunkerEvaluator) Sentence #526 from 00101750 from sent19

Text  : Instalator idzie dalej , dochodzi do " kończenia instalacji "_ ,_ które trwa nieznośnie długo ,_ tak ,_ już wiem ,_ że ważne jest ,_ jak się kończy ,_ byle dziś ,_ resetuje się i_ się nie włącza ._
Tokens: 1_________ 2____ 3____ 4 5_______ 6_ 7 8________ 9_________ 10 11 12___ 13__ 14________ 15___ 16 17_ 18 19_ 20__ 21 22 23___ 24__ 25 26_ 27_ 28____ 29 30__ 31__ 32 33______ 34_ 35 36_ 37_ 38____ 39

Chunks:

(ChunkerEvaluator) Sentence #527 from 00101750 from sent20

Text  : Okazuje się , że reset nie był jednak w planach ._
Tokens: 1______ 2__ 3 4_ 5____ 6__ 7__ 8_____ 9 10_____ 11

Chunks:

(ChunkerEvaluator) Sentence #528 from 00101750 from sent21

Text  : Instalacji nie można naprawić ani przywrócić , zaczynam od nowa ._
Tokens: 1_________ 2__ 3____ 4_______ 5__ 6_________ 7 8_______ 9_ 10__ 11

Chunks:

(ChunkerEvaluator) Sentence #529 from 00101750 from sent22

Text  : " Lód " leży i kusi , może zdążę ._
Tokens: 1 2__ 3 4___ 5 6___ 7 8___ 9____ 10

Chunks:
  FalseNegative nam [2,2] = Lód

(ChunkerEvaluator) Sentence #530 from 00101750 from sent23

Text  : Licencja przewiduje , że pomoc techniczna przysługuje mi od producenta i_ montera sprzętu ._
Tokens: 1_______ 2_________ 3 4_ 5____ 6_________ 7__________ 8_ 9_ 10________ 11 12_____ 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #531 from 00101750 from sent24

Text  : Hmm .
Tokens: 1__ 2

Chunks:

(ChunkerEvaluator) Sentence #532 from 00101750 from sent25

Text  : To chyba ja .
Tokens: 1_ 2____ 3_ 4

Chunks:

(ChunkerEvaluator) Sentence #533 from 00101750 from sent26

Text  : Mam szczęście , trafił em na kogoś , do kogo dodzwonię się za pierwszym razem i_ nie będę musiał słuchać przez pół godziny Stinga w_ czasie łączenia z_ właściwym działem ._
Tokens: 1__ 2________ 3 4_____ 5_ 6_ 7____ 8 9_ 10__ 11_______ 12_ 13 14_______ 15___ 16 17_ 18__ 19____ 20_____ 21___ 22_ 23_____ 24____ 25 26____ 27______ 28 29_______ 30_____ 31

Chunks:
  TruePositive nam [24,24] = Stinga (confidence=0.55)

(ChunkerEvaluator) Sentence #534 from 00101750 from sent27

Text  : Rada pierwsza - rekompilacja jądra .
Tokens: 1___ 2_______ 3 4___________ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #535 from 00101750 from sent28

Text  : Nie ?
Tokens: 1__ 2

Chunks:

(ChunkerEvaluator) Sentence #536 from 00101750 from sent29

Text  : To może wyjść i wejść ?
Tokens: 1_ 2___ 3____ 4 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #537 from 00101750 from sent30

Text  : Wychodzę i wchodzę od nowa .
Tokens: 1_______ 2 3______ 4_ 5___ 6

Chunks:

(ChunkerEvaluator) Sentence #538 from 00101750 from sent31

Text  : Nie pomaga .
Tokens: 1__ 2_____ 3

Chunks:

(ChunkerEvaluator) Sentence #539 from 00101750 from sent32

Text  : Nie pomaga z przyłączonym ponownie dyskiem , nie pomaga z_ wyjętą kartą wifi ,_ nie pomaga z_ przyłączonym kablem sieciowym (_ żeby aktualizacje mogły się zaktualizować )_ ,_ nie pomaga z_ odłączonym w_ BIOSie ethernetem (_ tak niby sugeruje strona producenta płyty głównej )_ ._
Tokens: 1__ 2_____ 3 4___________ 5_______ 6______ 7 8__ 9_____ 10 11____ 12___ 13__ 14 15_ 16____ 17 18__________ 19____ 20_______ 21 22__ 23__________ 24___ 25_ 26___________ 27 28 29_ 30____ 31 32________ 33 34____ 35________ 36 37_ 38__ 39______ 40____ 41________ 42___ 43_____ 44 45

Chunks:
  FalsePositive nam [34,35] = BIOSie ethernetem (confidence=1.00) (incorrect boundry)
  FalseNegative nam [13,13] = wifi
  FalseNegative nam [34,34] = BIOSie
  FalseNegative nam [35,35] = ethernetem

(ChunkerEvaluator) Sentence #540 from 00101750 from sent33

Text  : Przychodzi czas rozwiązań desperackich , mija już około 8 godzin od rozpoczęcia zabawy ,_ "_ Lód "_ się już czyta się ,_ na jakimś forum przeczytało się ,_ że należy zamienić miejscami kości pamięci RAM ._
Tokens: 1_________ 2___ 3________ 4___________ 5 6___ 7__ 8____ 9 10____ 11 12_________ 13____ 14 15 16_ 17 18_ 19_ 20___ 21_ 22 23 24____ 25___ 26_________ 27_ 28 29 30____ 31______ 32_______ 33___ 34_____ 35_ 36

Chunks:
  TruePositive nam [16,16] = Lód (confidence=0.90)
  TruePositive nam [35,35] = RAM (confidence=0.98)

2017-06-14 20:27:42,413 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 31 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101760.xml
(ChunkerEvaluator) Sentence #541 from 00101760 from sent1

Text  : W końcu nastąpiło oficjalne kulinarne rozpoczęcie sezonu wiosennego .
Tokens: 1 2____ 3________ 4________ 5________ 6__________ 7_____ 8_________ 9

Chunks:

(ChunkerEvaluator) Sentence #542 from 00101760 from sent2

Text  : Flamandzkie radioaktywne pomidory i nadmuchiwane rzodkiewki nas nie zmyliły ,_ czekali śmy na początek maja ,_ który kojarzy nam się z_ jednym ._
Tokens: 1__________ 2___________ 3_______ 4 5___________ 6_________ 7__ 8__ 9______ 10 11_____ 12_ 13 14______ 15__ 16 17___ 18_____ 19_ 20_ 21 22____ 23

Chunks:

(ChunkerEvaluator) Sentence #543 from 00101760 from sent3

Text  : Kiełbasą z grilla .
Tokens: 1_______ 2 3_____ 4

Chunks:

(ChunkerEvaluator) Sentence #544 from 00101760 from sent4

Text  : Karkówką .
Tokens: 1_______ 2

Chunks:

(ChunkerEvaluator) Sentence #545 from 00101760 from sent5

Text  : Długim weekendem .
Tokens: 1_____ 2________ 3

Chunks:

(ChunkerEvaluator) Sentence #546 from 00101760 from sent6

Text  : Kilka dni temu po raz pierwszy w naszym sklepie mignęły nam jakieś wysuszone ,_ w_ zaporowej cenie ,_ nie dali śmy się nabrać ._
Tokens: 1____ 2__ 3___ 4_ 5__ 6_______ 7 8_____ 9______ 10_____ 11_ 12____ 13_______ 14 15 16_______ 17___ 18 19_ 20__ 21_ 22_ 23____ 24

Chunks:

(ChunkerEvaluator) Sentence #547 from 00101760 from sent7

Text  : Czekali śmy .
Tokens: 1______ 2__ 3

Chunks:

(ChunkerEvaluator) Sentence #548 from 00101760 from sent8

Text  : Wreszcie pojawiły się warzywniaku .
Tokens: 1_______ 2_______ 3__ 4__________ 5

Chunks:

(ChunkerEvaluator) Sentence #549 from 00101760 from sent9

Text  : Białe , w dwóch rozmiarach .
Tokens: 1____ 2 3 4____ 5_________ 6

Chunks:

(ChunkerEvaluator) Sentence #550 from 00101760 from sent10

Text  : Grube i cienkie .
Tokens: 1____ 2 3______ 4

Chunks:

(ChunkerEvaluator) Sentence #551 from 00101760 from sent11

Text  : Wiosna w kuchni rozpoczęta .
Tokens: 1_____ 2 3_____ 4_________ 5

Chunks:

(ChunkerEvaluator) Sentence #552 from 00101760 from sent12

Text  : Na debiut wybrali śmy od razu dwie paczki ( w_ końcu sezon jednak krótki )_ ._
Tokens: 1_ 2_____ 3______ 4__ 5_ 6___ 7___ 8_____ 9 10 11___ 12___ 13____ 14____ 15 16

Chunks:

(ChunkerEvaluator) Sentence #553 from 00101760 from sent13

Text  : Żeby podkreślić rangę wydarzenia zrobili śmy suflety z kozim serem ._
Tokens: 1___ 2_________ 3____ 4_________ 5______ 6__ 7______ 8 9____ 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #554 from 00101760 from sent14

Text  : Sufletów nie robili śmy nigdy wcześniej , ale skoro dorobili śmy się foremek ,_ należało się kiedyś odważyć ._
Tokens: 1_______ 2__ 3_____ 4__ 5____ 6________ 7 8__ 9____ 10______ 11_ 12_ 13_____ 14 15______ 16_ 17____ 18_____ 19

Chunks:

(ChunkerEvaluator) Sentence #555 from 00101760 from sent15

Text  : Nie był to na pewno ostatni raz .
Tokens: 1__ 2__ 3_ 4_ 5____ 6______ 7__ 8

Chunks:

(ChunkerEvaluator) Sentence #556 from 00101760 from sent16

Text  : Zestaw okazał się w ogóle udany , może było by ciekawiej z_ zielonymi zamiast białych ._
Tokens: 1_____ 2_____ 3__ 4 5____ 6____ 7 8___ 9___ 10 11_______ 12 13_______ 14_____ 15_____ 16

Chunks:

(ChunkerEvaluator) Sentence #557 from 00101760 from sent17

Text  : Szparagami oczywiście .
Tokens: 1_________ 2_________ 3

Chunks:

(ChunkerEvaluator) Sentence #558 from 00101760 from sent18

Text  : Idę do sklepu .
Tokens: 1__ 2_ 3_____ 4

Chunks:

2017-06-14 20:27:42,457 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 32 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101765.xml
(ChunkerEvaluator) Sentence #559 from 00101765 from sent1

Text  : Brnąc dalej w brodatą metaforę drogi , nową propozycję UKE trudno nawet porównać z_ typową polską drogą krajową ,_ pełną kolein ,_ źle wyprofilowanych zakrętów i_ nieoznakowanych skrzyżowań ._
Tokens: 1____ 2____ 3 4______ 5_______ 6____ 7 8___ 9_________ 10_ 11____ 12___ 13______ 14 15____ 16____ 17___ 18_____ 19 20___ 21____ 22 23_ 24_____________ 25______ 26 27_____________ 28________ 29

Chunks:
  TruePositive nam [10,10] = UKE (confidence=0.98)

(ChunkerEvaluator) Sentence #560 from 00101765 from sent2

Text  : To raczej droga polna , na niektórych odcinkach wyasfaltowana ,_ ale też niechlujnie ._
Tokens: 1_ 2_____ 3____ 4____ 5 6_ 7_________ 8________ 9____________ 10 11_ 12_ 13_________ 14

Chunks:

(ChunkerEvaluator) Sentence #561 from 00101765 from sent3

Text  : Pomysł UKE zakłada , że darmowy bezprzewodowy internet - do którego ,_ podobnie jak w_ projekcie FCC w_ USA -_ zmuszą operatora warunki koncesji na częstotliwość ,_ będzie ograniczony w_ każdy możliwy sposób :_ 256kb na sekundę ,_ 500MB danych na miesiąc i_ jedna sesja maksymalnie na 30 minut ._
Tokens: 1_____ 2__ 3______ 4 5_ 6______ 7____________ 8_______ 9 10 11_____ 12 13______ 14_ 15 16_______ 17_ 18 19_ 20 21____ 22_______ 23_____ 24______ 25 26___________ 27 28____ 29_________ 30 31___ 32_____ 33____ 34 35___ 36 37_____ 38 39___ 40____ 41 42_____ 43 44___ 45___ 46_________ 47 48 49___ 50

Chunks:
  TruePositive nam [2,2] = UKE (confidence=0.97)
  TruePositive nam [8,8] = internet (confidence=0.94)
  TruePositive nam [17,17] = FCC (confidence=1.00)
  TruePositive nam [19,19] = USA (confidence=1.00)

(ChunkerEvaluator) Sentence #562 from 00101765 from sent4

Text  : Nawet na korzystanie z naszej klasy to za mało ._
Tokens: 1____ 2_ 3__________ 4 5_____ 6____ 7_ 8_ 9___ 10

Chunks:
  FalseNegative nam [5,6] = naszej klasy

(ChunkerEvaluator) Sentence #563 from 00101765 from sent5

Text  : To kolejny projekt na froncie walki z cyfrowym wykluczeniem ,_ który nawet w_ statystykach nie będzie widoczny ._
Tokens: 1_ 2______ 3______ 4_ 5______ 6____ 7 8_______ 9___________ 10 11___ 12___ 13 14__________ 15_ 16____ 17______ 18

Chunks:

(ChunkerEvaluator) Sentence #564 from 00101765 from sent6

Text  : Dostęp szerokopasmowy jako wskaźnik zaawansowania cywilizacyjnego przestaje bowiem wystarczać ._
Tokens: 1_____ 2_____________ 3___ 4_______ 5____________ 6______________ 7________ 8_____ 9_________ 10

Chunks:

(ChunkerEvaluator) Sentence #565 from 00101765 from sent7

Text  : Unia Europejska - do niedawna zwracająca szczególną uwagę na zasięg szerokopasmowego internetu ,_ który pozwalał twierdzić ,_ że w_ rozwoju społeczeństwa informacyjnego wyprzedzamy (_ przynajmniej w_ rozmiarze EU -_ 15 )_ USA -_ poszerza perspektywę i_ przyjmuje wskaźnik złożony -_ Broadband Performance Index (_ BPI )_ ._
Tokens: 1___ 2_________ 3 4_ 5_______ 6_________ 7_________ 8____ 9_ 10____ 11______________ 12_______ 13 14___ 15______ 16_______ 17 18 19 20_____ 21___________ 22____________ 23_________ 24 25__________ 26 27_______ 28 29 30 31 32_ 33 34______ 35_________ 36 37_______ 38______ 39_____ 40 41_______ 42_________ 43___ 44 45_ 46 47

Chunks:
  TruePositive nam [1,2] = Unia Europejska (confidence=1.00)
  TruePositive nam [12,12] = internetu (confidence=0.99)
  TruePositive nam [28,30] = EU - 15 (confidence=1.00)
  TruePositive nam [32,32] = USA (confidence=0.99)
  TruePositive nam [41,43] = Broadband Performance Index (confidence=1.00)
  TruePositive nam [45,45] = BPI (confidence=1.00)

(ChunkerEvaluator) Sentence #566 from 00101765 from sent8

Text  : Sam ogólny zasięg dostępu szerokopasmowego nie jest nawet składnikiem BPI ._
Tokens: 1__ 2_____ 3_____ 4______ 5_______________ 6__ 7___ 8____ 9__________ 10_ 11

Chunks:
  TruePositive nam [10,10] = BPI (confidence=0.97)

(ChunkerEvaluator) Sentence #567 from 00101765 from sent9

Text  : Liczy się dostęp na obszarach wiejskich i to tylko przez kabel (_ czyli całe darmowe wifi na razie się nie załapie )_ ,_ a_ ze starego wskaźnika zostały elementy jakościowe -_ prędkość ,_ cena i_ korzystanie z_ usług ._
Tokens: 1____ 2__ 3_____ 4_ 5________ 6________ 7 8_ 9____ 10___ 11___ 12 13___ 14__ 15_____ 16__ 17 18___ 19_ 20_ 21_____ 22 23 24 25 26_____ 27_______ 28_____ 29______ 30________ 31 32______ 33 34__ 35 36_________ 37 38___ 39

Chunks:
  FalseNegative nam [16,16] = wifi

(ChunkerEvaluator) Sentence #568 from 00101765 from sent10

Text  : Co ciekawe - bierze się pod uwagę ceny wyłącznie w_ zakresach 1_ -_ 2_ Mbit oraz 2_ -_ 8_ Mbit (_ w_ EU -_ 15 niski standard to 1_ ,_ 5_ Mbit )_ ,_ czyli presja na operatorów ,_ żeby obniżyli ceny w_ przedziale poniżej 1_ Mbit ,_ którą swoim pomysłem ma zamiar wywierać UKE ,_ niewiele pomoże ._
Tokens: 1_ 2______ 3 4_____ 5__ 6__ 7____ 8___ 9________ 10 11_______ 12 13 14 15__ 16__ 17 18 19 20__ 21 22 23 24 25 26___ 27______ 28 29 30 31 32__ 33 34 35___ 36____ 37 38________ 39 40__ 41______ 42__ 43 44________ 45_____ 46 47__ 48 49___ 50___ 51______ 52 53____ 54______ 55_ 56 57______ 58____ 59

Chunks:
  TruePositive nam [55,55] = UKE (confidence=0.89)
  FalsePositive nam [14,20] = 2 Mbit oraz 2 - 8 Mbit (confidence=0.31) (incorrect boundry)
  FalsePositive nam [23,23] = EU (confidence=1.00) (incorrect boundry)
  FalsePositive nam [32,32] = Mbit (confidence=0.59) (incorrect boundry)
  FalsePositive nam [47,47] = Mbit (confidence=0.78) (incorrect boundry)
  FalseNegative nam [23,25] = EU - 15

(ChunkerEvaluator) Sentence #569 from 00101765 from sent11

Text  : A tymczasem w kategorii " cena " Polska wypada w_ zasadzie najgorzej w_ całej UE (_ porównywalnie źle jedynie Słowacja )_ ._
Tokens: 1 2________ 3 4________ 5 6___ 7 8_____ 9_____ 10 11______ 12_______ 13 14___ 15 16 17___________ 18_ 19_____ 20______ 21 22

Chunks:
  TruePositive nam [8,8] = Polska (confidence=1.00)
  TruePositive nam [15,15] = UE (confidence=1.00)
  TruePositive nam [20,20] = Słowacja (confidence=1.00)

(ChunkerEvaluator) Sentence #570 from 00101765 from sent12

Text  : Internet według UKE nie pomoże też w rozwoju zaawansowanych usług ._
Tokens: 1_______ 2_____ 3__ 4__ 5_____ 6__ 7 8______ 9_____________ 10___ 11

Chunks:
  TruePositive nam [1,1] = Internet (confidence=0.99)
  TruePositive nam [3,3] = UKE (confidence=1.00)

(ChunkerEvaluator) Sentence #571 from 00101765 from sent13

Text  : 500MB pójdzie na samo pobieranie aktualizacji systemu operacyjnego , baz danych wirusów (_ w_ każdym razie na niektórych systemach )_ ,_ sprawdzanie prognozy pogody na portalu i_ czytanie poczty przez www ._
Tokens: 1____ 2______ 3_ 4___ 5_________ 6___________ 7______ 8___________ 9 10_ 11____ 12_____ 13 14 15____ 16___ 17 18________ 19_______ 20 21 22_________ 23______ 24____ 25 26_____ 27 28______ 29____ 30___ 31_ 32

Chunks:
  FalseNegative nam [31,31] = www

(ChunkerEvaluator) Sentence #572 from 00101765 from sent14

Text  : Może i nie będzie darmowych torrentów , ale nie będzie też ściągania wolnego oprogramowania ,_ tekstów naukowych udostępnianych w_ sposób otwarty ,_ ani kupowania jakichkolwiek cyfrowych treści ._
Tokens: 1___ 2 3__ 4_____ 5________ 6________ 7 8__ 9__ 10____ 11_ 12_______ 13_____ 14____________ 15 16_____ 17_______ 18____________ 19 20____ 21_____ 22 23_ 24_______ 25___________ 26_______ 27____ 28

Chunks:

(ChunkerEvaluator) Sentence #573 from 00101765 from sent15

Text  : UKE ma zamiar zaoferować więc wykluczonym internet ( inne ministerstwo da im laptopy ?_ )_ ,_ który pozostawi ich w_ tym samym miejscu ,_ bo granica cyfrowego wykluczenia się przesunie ._
Tokens: 1__ 2_ 3_____ 4_________ 5___ 6__________ 7_______ 8 9___ 10__________ 11 12 13_____ 14 15 16 17___ 18_______ 19_ 20 21_ 22___ 23_____ 24 25 26_____ 27_______ 28_________ 29_ 30_______ 31

Chunks:
  TruePositive nam [1,1] = UKE (confidence=0.60)
  TruePositive nam [7,7] = internet (confidence=1.00)

(ChunkerEvaluator) Sentence #574 from 00101765 from sent16

Text  : Tymczasem wciąż nowoczesnych usług w polskim internecie jest mało -_ e_ -_ administracja prawie nie istnieje (_ tu wskaźniki się pewnie pogorszą ,_ gdy wygasną certyfikaty rozdawane przez ZUS ,_ a_ mikroprzedsiębiorcy zamiast płacić za bezpieczny podpis elektroniczny staną w_ kolejce na poczcie )_ ,_ uniwersytety bardzo słabo radzą sobie z_ obecnością w_ sieci ,_ a_ telewizja plącze się w_ DRMach ._
Tokens: 1________ 2____ 3___________ 4____ 5 6______ 7_________ 8___ 9___ 10 11 12 13___________ 14____ 15_ 16______ 17 18 19_______ 20_ 21____ 22______ 23 24_ 25_____ 26_________ 27_______ 28___ 29_ 30 31 32_________________ 33_____ 34____ 35 36________ 37____ 38___________ 39___ 40 41_____ 42 43_____ 44 45 46__________ 47____ 48___ 49___ 50___ 51 52________ 53 54___ 55 56 57_______ 58____ 59_ 60 61____ 62

Chunks:
  TruePositive nam [7,7] = internecie (confidence=0.98)
  TruePositive nam [29,29] = ZUS (confidence=0.97)
  FalsePositive nam [61,61] = DRMach (confidence=0.96) (incorrect boundry)

2017-06-14 20:27:42,581 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 33 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101788.xml
(ChunkerEvaluator) Sentence #575 from 00101788 from sent1

Text  : Po drugie , atak na Wałęsę jest jawnie ahistoryczny ._
Tokens: 1_ 2_____ 3 4___ 5_ 6_____ 7___ 8_____ 9___________ 10

Chunks:
  TruePositive nam [6,6] = Wałęsę (confidence=0.99)

(ChunkerEvaluator) Sentence #576 from 00101788 from sent2

Text  : W powiedzeniu „ wszyscy jesteśmy Bolkami ” ( w każdym razie :_ my wszyscy ,_ którzyśmy w_ roku 1981 mieli więcej niż 18 lat …_ )_ jest wiele obiektywnej racji ._
Tokens: 1 2__________ 3 4______ 5_______ 6______ 7 8 9 10____ 11___ 12 13 14_____ 15 16_______ 17 18__ 19__ 20___ 21____ 22_ 23 24_ 25 26 27__ 28___ 29_________ 30___ 31

Chunks:
  TruePositive nam [6,6] = Bolkami (confidence=0.95)

(ChunkerEvaluator) Sentence #577 from 00101788 from sent3

Text  : Bez względu na ówczesne poglądy polityczne i sytuację społeczną ,_ wszyscy byli śmy wtedy obserwowani i_ na tysiące sposobów „_ sprawdzani ”_ ._
Tokens: 1__ 2______ 3_ 4_______ 5______ 6_________ 7 8_______ 9________ 10 11_____ 12__ 13_ 14___ 15_________ 16 17 18_____ 19______ 20 21________ 22 23

Chunks:

(ChunkerEvaluator) Sentence #578 from 00101788 from sent4

Text  : Byle głupi awans w zakładzie pracy , byle wyjazd na zagraniczne stypendium czy kontakt z_ cudzoziemcem oznaczał wysyłanie „_ zapytań ”_ do „_ organów ”_ ,_ które wszak były niesłychanie rozbudowane ;_ niemal każdy miał więc z_ nimi do czynienia ,_ świadomie czy nie ._
Tokens: 1___ 2____ 3____ 4 5________ 6____ 7 8___ 9_____ 10 11_________ 12________ 13_ 14_____ 15 16__________ 17______ 18_______ 19 20_____ 21 22 23 24_____ 25 26 27___ 28___ 29__ 30__________ 31_________ 32 33____ 34___ 35__ 36__ 37 38__ 39 40_______ 41 42_______ 43_ 44_ 45

Chunks:

(ChunkerEvaluator) Sentence #579 from 00101788 from sent5

Text  : A już ludzie , zajmujący jakiekolwiek istotne pozycje zawodowe czy należący do tzw ._ dzisiaj „_ celebrytów ”_ –_ bez najmniejszej wątpliwości ._
Tokens: 1 2__ 3_____ 4 5________ 6___________ 7______ 8______ 9_______ 10_ 11______ 12 13_ 14 15_____ 16 17________ 18 19 20_ 21__________ 22_________ 23

Chunks:

(ChunkerEvaluator) Sentence #580 from 00101788 from sent6

Text  : Więc jestem niemal pewien , że o każdym z nas są gdzieś tam stosowne (_ czy raczej :_ niestosowne )_ dokumenty ._
Tokens: 1___ 2_____ 3_____ 4_____ 5 6_ 7 8_____ 9 10_ 11 12____ 13_ 14______ 15 16_ 17____ 18 19_________ 20 21_______ 22

Chunks:

(ChunkerEvaluator) Sentence #581 from 00101788 from sent7

Text  : Znam na przykład osobę o lata świetlne w ogóle odległą od jakiejkolwiek polityki ,_ która w_ latach 70 ._ całkowicie przypadkowo zawarła czysto towarzysko znajomość z_ jakimiś miłymi studentami z_ Chin ;_ no i_ przez kilka lat musiała się z_ tych kontaktów spowiadać na Rakowieckiej ._
Tokens: 1___ 2_ 3_______ 4____ 5 6___ 7_______ 8 9____ 10_____ 11 12___________ 13______ 14 15___ 16 17____ 18 19 20________ 21_________ 22_____ 23____ 24________ 25_______ 26 27_____ 28____ 29________ 30 31__ 32 33 34 35___ 36___ 37_ 38_____ 39_ 40 41__ 42_______ 43_______ 44 45__________ 46

Chunks:
  TruePositive nam [31,31] = Chin (confidence=1.00)
  TruePositive nam [45,45] = Rakowieckiej (confidence=1.00)

(ChunkerEvaluator) Sentence #582 from 00101788 from sent8

Text  : Pytana , mówiła prawdę ; protokoły przesłuchań podpisywała .
Tokens: 1_____ 2 3_____ 4_____ 5 6________ 7__________ 8__________ 9

Chunks:

(ChunkerEvaluator) Sentence #583 from 00101788 from sent9

Text  : Pewno więc dziś panowie z IPN uznali by ją za TW …_
Tokens: 1____ 2___ 3___ 4______ 5 6__ 7_____ 8_ 9_ 10 11 12

Chunks:
  TruePositive nam [6,6] = IPN (confidence=1.00)
  FalsePositive nam [11,11] = TW (confidence=0.97) (incorrect boundry)

(ChunkerEvaluator) Sentence #584 from 00101788 from sent10

Text  : Powtarzam : świadomy – a częściej nieświadomy – kontakt z_ owymi „_ organami ”_ miał prawie każdy z_ nas ._
Tokens: 1________ 2 3_______ 4 5 6_______ 7__________ 8 9______ 10 11___ 12 13______ 14 15__ 16____ 17___ 18 19_ 20

Chunks:

(ChunkerEvaluator) Sentence #585 from 00101788 from sent11

Text  : Niektórzy mieli w dodatku nieszczęście podpisać jakiś protokół lub zobowiązanie do zachowania spotkania w_ tajemnicy ;_ nic ponadto ._
Tokens: 1________ 2____ 3 4______ 5___________ 6_______ 7____ 8_______ 9__ 10__________ 11 12________ 13_______ 14 15_______ 16 17_ 18_____ 19

Chunks:

(ChunkerEvaluator) Sentence #586 from 00101788 from sent12

Text  : I co z tego ?
Tokens: 1 2_ 3 4___ 5

Chunks:

(ChunkerEvaluator) Sentence #587 from 00101788 from sent13

Text  : Czy dziś mają mieć prawo do życia ci tylko ,_ których wówczas zapudlono lub w_ inny sposób sekowano ?_
Tokens: 1__ 2___ 3___ 4___ 5____ 6_ 7____ 8_ 9____ 10 11_____ 12_____ 13_______ 14_ 15 16__ 17____ 18______ 19

Chunks:

(ChunkerEvaluator) Sentence #588 from 00101788 from sent14

Text  : Z punktu widzenia macierewoczoidów – pewno właśnie tak .
Tokens: 1 2_____ 3_______ 4_______________ 5 6____ 7______ 8__ 9

Chunks:
  FalseNegative nam [4,4] = macierewoczoidów

(ChunkerEvaluator) Sentence #589 from 00101788 from sent15

Text  : Ale moim zdaniem jest to chore .
Tokens: 1__ 2___ 3______ 4___ 5_ 6____ 7

Chunks:

(ChunkerEvaluator) Sentence #590 from 00101788 from sent16

Text  : Po trzecie – w tej rozgrywce w ogóle przecież nie chodzi o_ Wałęsę ,_ który dziś jest już w_ dużej mierze obiektem muzealnym ._
Tokens: 1_ 2______ 3 4 5__ 6________ 7 8____ 9_______ 10_ 11____ 12 13____ 14 15___ 16__ 17__ 18_ 19 20___ 21____ 22______ 23_______ 24

Chunks:
  TruePositive nam [13,13] = Wałęsę (confidence=0.68)

(ChunkerEvaluator) Sentence #591 from 00101788 from sent17

Text  : I nie o prawdę , bowiem gdyby to o nią chodziło –_ sprawa była by podjęta już przed laty ._
Tokens: 1 2__ 3 4_____ 5 6_____ 7____ 8_ 9 10_ 11______ 12 13____ 14__ 15 16_____ 17_ 18___ 19__ 20

Chunks:

(ChunkerEvaluator) Sentence #592 from 00101788 from sent18

Text  : I z pewnością nie chodzi tu o lata siedemdziesiąte ,_ tylko co najwyżej o_ prezydenturę LW ,_ jeszcze zaś bardziej o_ zdezawuowanie Okrągłego Stołu ._
Tokens: 1 2 3________ 4__ 5_____ 6_ 7 8___ 9______________ 10 11___ 12 13______ 14 15__________ 16 17 18_____ 19_ 20______ 21 22___________ 23_______ 24___ 25

Chunks:
  TruePositive nam [16,16] = LW (confidence=1.00)
  TruePositive nam [23,24] = Okrągłego Stołu (confidence=0.82)

(ChunkerEvaluator) Sentence #593 from 00101788 from sent19

Text  : W sumie , jest to wynik bardzo nieładnej osobistej zemsty Kaczorów i_ S_ -_ ki za doznane wówczas upokorzenia i_ przegraną w_ związku z_ obaleniem paranoidalnego rządu Olszewskiego ._
Tokens: 1 2____ 3 4___ 5_ 6____ 7_____ 8________ 9________ 10____ 11______ 12 13 14 15 16 17_____ 18_____ 19_________ 20 21_______ 22 23_____ 24 25_______ 26____________ 27___ 28__________ 29

Chunks:
  TruePositive nam [28,28] = Olszewskiego (confidence=1.00)
  FalsePositive nam [11,11] = Kaczorów (confidence=0.98) (incorrect boundry)
  FalsePositive nam [13,15] = S - ki (confidence=0.89) (incorrect boundry)
  FalseNegative nam [11,15] = Kaczorów i S - ki

(ChunkerEvaluator) Sentence #594 from 00101788 from sent20

Text  : Oraz chęć wbicia motłochowi w puste łby , że Okrągły Stół był zdradą ,_ nie sukcesem ._
Tokens: 1___ 2___ 3_____ 4_________ 5 6____ 7__ 8 9_ 10_____ 11__ 12_ 13____ 14 15_ 16______ 17

Chunks:
  TruePositive nam [10,11] = Okrągły Stół (confidence=0.95)

(ChunkerEvaluator) Sentence #595 from 00101788 from sent21

Text  : Bo „ gdyby śmy wówczas wywieszali komuchów na latarniach ,_ to dziś świat był by piękny ”_ ._
Tokens: 1_ 2 3____ 4__ 5______ 6_________ 7_______ 8_ 9_________ 10 11 12__ 13___ 14_ 15 16____ 17 18

Chunks:

(ChunkerEvaluator) Sentence #596 from 00101788 from sent22

Text  : Czyli o konsekwentne lansowanie kompletnie przecież skompromitowanej idei IV RP …_
Tokens: 1____ 2 3___________ 4_________ 5_________ 6_______ 7_______________ 8___ 9_ 10 11

Chunks:
  TruePositive nam [9,10] = IV RP (confidence=0.98)

2017-06-14 20:27:42,691 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 34 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101871.xml
(ChunkerEvaluator) Sentence #597 from 00101871 from sent1

Text  : Od poniedziałku w województwie łódzkim trwają ferie zimowe dla dzieci i_ młodzieży ._
Tokens: 1_ 2___________ 3 4___________ 5______ 6_____ 7____ 8_____ 9__ 10____ 11 12_______ 13

Chunks:
  TruePositive nam [5,5] = łódzkim (confidence=0.93)

(ChunkerEvaluator) Sentence #598 from 00101871 from sent2

Text  : W tym okresie na terenie miasta Ozorkowa organizowane są różnego typu zajęcia sportowe oraz kulturalne ._
Tokens: 1 2__ 3______ 4_ 5______ 6_____ 7_______ 8___________ 9_ 10_____ 11__ 12_____ 13______ 14__ 15________ 16

Chunks:
  TruePositive nam [7,7] = Ozorkowa (confidence=1.00)

(ChunkerEvaluator) Sentence #599 from 00101871 from sent3

Text  : Przestawiamy w skrócie , cóż można robić w pierwszym tygodniu ferii ._
Tokens: 1___________ 2 3______ 4 5__ 6____ 7____ 8 9________ 10______ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #600 from 00101871 from sent4

Text  : Od poniedziałku do piątku od 10 do 12 w Gimnazjum udostępniona jest za darmo siłownia i_ hala (_ można pograć w_ siatkę lub unihocka )_ ._
Tokens: 1_ 2___________ 3_ 4_____ 5_ 6_ 7_ 8_ 9 10_______ 11__________ 12__ 13 14___ 15______ 16 17__ 18 19___ 20____ 21 22____ 23_ 24______ 25 26

Chunks:
  FalsePositive nam [10,10] = Gimnazjum (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #601 from 00101871 from sent5

Text  : W Gimnazjum 16 . 02 . 05 odbędzie się turniej amatorów w_ siatkówkę trójkami (_ od godziny 10 )_ ._
Tokens: 1 2________ 3_ 4 5_ 6 7_ 8_______ 9__ 10_____ 11______ 12 13_______ 14______ 15 16 17_____ 18 19 20

Chunks:
  FalsePositive nam [2,2] = Gimnazjum (confidence=0.90) (incorrect boundry)

(ChunkerEvaluator) Sentence #602 from 00101871 from sent6

Text  : Basen od 8 do 15 po 3zł ( siłownia ,_ sauna ,_ basen )_ ._
Tokens: 1____ 2_ 3 4_ 5_ 6_ 7__ 8 9_______ 10 11___ 12 13___ 14 15

Chunks:

(ChunkerEvaluator) Sentence #603 from 00101871 from sent7

Text  : MOK , 18 . 02 . 05 , godzina 18 :_ 30 odbędzie się koncert rockowy ._
Tokens: 1__ 2 3_ 4 5_ 6 7_ 8 9______ 10 11 12 13______ 14_ 15_____ 16_____ 17

Chunks:
  FalseNegative nam [1,1] = MOK

(ChunkerEvaluator) Sentence #604 from 00101871 from sent8

Text  : Ponadto czynne będą kafejki internetowe , MDK ( różnorodne zajęcia )_ ,_ kino ._
Tokens: 1______ 2_____ 3___ 4______ 5__________ 6 7__ 8 9_________ 10_____ 11 12 13__ 14

Chunks:
  TruePositive nam [7,7] = MDK (confidence=1.00)

(ChunkerEvaluator) Sentence #605 from 00101871 from sent9

Text  : Można też pochodzić po mieście lub zapisać się do hufca i_ bawić razem z_ harcerzami :_ D_
Tokens: 1____ 2__ 3________ 4_ 5______ 6__ 7______ 8__ 9_ 10___ 11 12___ 13___ 14 15________ 16 17

Chunks:

2017-06-14 20:27:42,728 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 35 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101883.xml
(ChunkerEvaluator) Sentence #606 from 00101883 from sent1

Text  : Wreszcie udało się nam pościgać !
Tokens: 1_______ 2____ 3__ 4__ 5_______ 6

Chunks:

(ChunkerEvaluator) Sentence #607 from 00101883 from sent2

Text  : Na spotkaniu pojawił sie Andy z modelem Kyosho Laser ZX -_ 5_ ,_ którym staruje w_ eliminacjach Mistrzostw Polski ,_ w_ klasie ET -_ 10 4WD ._
Tokens: 1_ 2________ 3______ 4__ 5___ 6 7______ 8_____ 9____ 10 11 12 13 14____ 15_____ 16 17__________ 18________ 19____ 20 21 22____ 23 24 25 26_ 27

Chunks:
  TruePositive nam [5,5] = Andy (confidence=0.99)
  TruePositive nam [18,19] = Mistrzostw Polski (confidence=0.97)
  FalsePositive nam [8,12] = Kyosho Laser ZX - 5 (confidence=1.00) (incorrect boundry)
  FalseNegative nam [8,8] = Kyosho
  FalseNegative nam [9,12] = Laser ZX - 5

(ChunkerEvaluator) Sentence #608 from 00101883 from sent3

Text  : Andy szybko wjeździł się w tor i mogli śmy rozpocząć pięciominutowe biegi ._
Tokens: 1___ 2_____ 3_______ 4__ 5 6__ 7 8____ 9__ 10_______ 11____________ 12___ 13

Chunks:
  TruePositive nam [1,1] = Andy (confidence=0.66)

(ChunkerEvaluator) Sentence #609 from 00101883 from sent4

Text  : W pierwszym wyścigu startował prawie pełny przekrój skali 1 :_ 10 ._
Tokens: 1 2________ 3______ 4________ 5_____ 6____ 7_______ 8____ 9 10 11 12

Chunks:

(ChunkerEvaluator) Sentence #610 from 00101883 from sent5

Text  : Jechał Piotrek spalinowym Lightningiem Stadium 10 , Andy swoim elektrycznym bagusem z_ napędem na cztery koła oraz Jarek starym Rustlerem z_ napędem na tył ._
Tokens: 1_____ 2______ 3_________ 4___________ 5______ 6_ 7 8___ 9____ 10__________ 11_____ 12 13_____ 14 15____ 16__ 17__ 18___ 19____ 20_______ 21 22_____ 23 24_ 25

Chunks:
  TruePositive nam [2,2] = Piotrek (confidence=1.00)
  TruePositive nam [4,6] = Lightningiem Stadium 10 (confidence=1.00)
  TruePositive nam [8,8] = Andy (confidence=0.56)
  TruePositive nam [18,18] = Jarek (confidence=1.00)
  TruePositive nam [20,20] = Rustlerem (confidence=1.00)

(ChunkerEvaluator) Sentence #611 from 00101883 from sent6

Text  : W pierwszych okrążeniach Piotrek jechał niesamowicie i wysunął się na prowadzenie ._
Tokens: 1 2_________ 3__________ 4______ 5_____ 6___________ 7 8______ 9__ 10 11_________ 12

Chunks:
  TruePositive nam [4,4] = Piotrek (confidence=1.00)

(ChunkerEvaluator) Sentence #612 from 00101883 from sent7

Text  : Niestety zgaśnięcie silnika na 4 okrążeniu wyeliminowało go z dalszej jazdy ._
Tokens: 1_______ 2_________ 3______ 4_ 5 6________ 7____________ 8_ 9 10_____ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #613 from 00101883 from sent8

Text  : Bieg zdecydowanie wygrał Andy , przejeżdżając 9 okrążeń .
Tokens: 1___ 2___________ 3_____ 4___ 5 6____________ 7 8______ 9

Chunks:
  TruePositive nam [4,4] = Andy (confidence=1.00)

(ChunkerEvaluator) Sentence #614 from 00101883 from sent9

Text  : Jarek przejechał 7 kółek .
Tokens: 1____ 2_________ 3 4____ 5

Chunks:
  TruePositive nam [1,1] = Jarek (confidence=1.00)

(ChunkerEvaluator) Sentence #615 from 00101883 from sent10

Text  : W drugim biegu do składu dołączył Adam swoim Rustlerem VXL ,_ a_ starym Rustlerem tym razem kierowała Dorota ._
Tokens: 1 2_____ 3____ 4_ 5_____ 6_______ 7___ 8____ 9________ 10_ 11 12 13____ 14_______ 15_ 16___ 17_______ 18____ 19

Chunks:
  TruePositive nam [7,7] = Adam (confidence=1.00)
  TruePositive nam [9,10] = Rustlerem VXL (confidence=1.00)
  TruePositive nam [14,14] = Rustlerem (confidence=1.00)
  TruePositive nam [18,18] = Dorota (confidence=1.00)

(ChunkerEvaluator) Sentence #616 from 00101883 from sent11

Text  : Piotrek ponownie został wyeliminowany przez gasnący silnik .
Tokens: 1______ 2_______ 3_____ 4____________ 5____ 6______ 7_____ 8

Chunks:
  TruePositive nam [1,1] = Piotrek (confidence=0.92)

(ChunkerEvaluator) Sentence #617 from 00101883 from sent12

Text  : Andy równiez nie dojechał z powodów technicznych .
Tokens: 1___ 2______ 3__ 4_______ 5 6______ 7___________ 8

Chunks:
  FalseNegative nam [1,1] = Andy

(ChunkerEvaluator) Sentence #618 from 00101883 from sent13

Text  : Pojedynek Rustlerów był niesamowicie emocjonujący .
Tokens: 1________ 2________ 3__ 4___________ 5___________ 6

Chunks:
  TruePositive nam [2,2] = Rustlerów (confidence=0.92)

(ChunkerEvaluator) Sentence #619 from 00101883 from sent14

Text  : Adam zdecydowanie prowadził , kiedy po przejechaniu 9 okrążeń ,_ na niecałą minutę przed końcem biegu ,_ skończył mu sie pakiet ._
Tokens: 1___ 2___________ 3________ 4 5____ 6_ 7___________ 8 9______ 10 11 12_____ 13____ 14___ 15____ 16___ 17 18______ 19 20_ 21____ 22

Chunks:
  TruePositive nam [1,1] = Adam (confidence=1.00)

(ChunkerEvaluator) Sentence #620 from 00101883 from sent15

Text  : Na torze pozostała jedynie Dorota , która walczyła z czasem próbując odrobic stratę do Adama ._
Tokens: 1_ 2____ 3________ 4______ 5_____ 6 7____ 8_______ 9 10____ 11______ 12_____ 13____ 14 15___ 16

Chunks:
  TruePositive nam [5,5] = Dorota (confidence=0.93)
  TruePositive nam [15,15] = Adama (confidence=1.00)

(ChunkerEvaluator) Sentence #621 from 00101883 from sent16

Text  : Nie udało się jej i Adam pozostal zwycięzcą .
Tokens: 1__ 2____ 3__ 4__ 5 6___ 7_______ 8________ 9

Chunks:
  TruePositive nam [6,6] = Adam (confidence=1.00)

(ChunkerEvaluator) Sentence #622 from 00101883 from sent17

Text  : Aktualny rekord toru wynosi 9 okrążeń , ale spodziewamy się ,_ że zostanie dośc szybko pobity ._
Tokens: 1_______ 2_____ 3___ 4_____ 5 6______ 7 8__ 9__________ 10_ 11 12 13______ 14__ 15____ 16____ 17

Chunks:

2017-06-14 20:27:42,788 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 36 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101886.xml
(ChunkerEvaluator) Sentence #623 from 00101886 from sent1

Text  : Teoria ich autorstwa nosi miano ukrytego egotyzmu ( Implicit Egotism )_ ._
Tokens: 1_____ 2__ 3________ 4___ 5____ 6_______ 7_______ 8 9_______ 10_____ 11 12

Chunks:
  FalsePositive nam [9,10] = Implicit Egotism (confidence=0.58) (incorrect boundry)

(ChunkerEvaluator) Sentence #624 from 00101886 from sent2

Text  : Opublikowane w 2002 roku badanie o charakterze analizy danych statystycznych dowiodło ,_ że istotnie ludzie charakteryzują się ciągotami do miejsc czy rzeczy ,_ które w_ jakimś stopniu podobne są do kojarzonych ze sobą właściwości ._
Tokens: 1___________ 2 3___ 4___ 5______ 6 7__________ 8______ 9_____ 10____________ 11______ 12 13 14______ 15____ 16____________ 17_ 18_______ 19 20____ 21_ 22____ 23 24___ 25 26____ 27_____ 28_____ 29 30 31_________ 32 33__ 34_________ 35

Chunks:

(ChunkerEvaluator) Sentence #625 from 00101886 from sent3

Text  : W pierwszym badaniu autorzy teorii sprawdzili za pomocą bazy danych osób zmarłych ,_ ile osób wybiera na miejsce zamieszkania miasto ,_ którego trzy pierwsze litery zgadzają się z_ początkiem imienia danej osoby ._
Tokens: 1 2________ 3______ 4______ 5_____ 6_________ 7_ 8_____ 9___ 10____ 11__ 12______ 13 14_ 15__ 16_____ 17 18_____ 19__________ 20____ 21 22_____ 23__ 24______ 25____ 26______ 27_ 28 29________ 30_____ 31___ 32___ 33

Chunks:

(ChunkerEvaluator) Sentence #626 from 00101886 from sent4

Text  : By uwidocznić różnice powstały pary imion i większych miast :_ Mildred –_ Milwaukee ,_ Virginia –_ Virginia Beach ,_ Jack –_ Jacksonville oraz Philip –_ Philadelphia ._
Tokens: 1_ 2_________ 3______ 4_______ 5___ 6____ 7 8________ 9____ 10 11_____ 12 13_______ 14 15______ 16 17______ 18___ 19 20__ 21 22__________ 23__ 24____ 25 26__________ 27

Chunks:
  FalsePositive nam [11,13] = Mildred – Milwaukee (confidence=1.00) (incorrect boundry)
  FalsePositive nam [15,18] = Virginia – Virginia Beach (confidence=0.99) (incorrect boundry)
  FalsePositive nam [20,22] = Jack – Jacksonville (confidence=1.00) (incorrect boundry)
  FalsePositive nam [24,26] = Philip – Philadelphia (confidence=0.99) (incorrect boundry)
  FalseNegative nam [11,11] = Mildred
  FalseNegative nam [13,13] = Milwaukee
  FalseNegative nam [15,15] = Virginia
  FalseNegative nam [17,18] = Virginia Beach
  FalseNegative nam [20,20] = Jack
  FalseNegative nam [22,22] = Jacksonville
  FalseNegative nam [24,24] = Philip
  FalseNegative nam [26,26] = Philadelphia

(ChunkerEvaluator) Sentence #627 from 00101886 from sent5

Text  : Następnie , na przykład w przypadku kobiet , porównywano liczbę Mildred mieszkających w_ Milwaukee z_ tymi mieszkającymi w_ Virginia Beach i_ na odwrót ._
Tokens: 1________ 2 3_ 4_______ 5 6________ 7_____ 8 9__________ 10____ 11_____ 12___________ 13 14_______ 15 16__ 17___________ 18 19______ 20___ 21 22 23____ 24

Chunks:
  TruePositive nam [11,11] = Mildred (confidence=1.00)
  TruePositive nam [14,14] = Milwaukee (confidence=0.97)
  TruePositive nam [19,20] = Virginia Beach (confidence=1.00)

(ChunkerEvaluator) Sentence #628 from 00101886 from sent6

Text  : W każdym przypadku wynik badania potwierdzał prawdziwość teorii .
Tokens: 1 2_____ 3________ 4____ 5______ 6__________ 7__________ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #629 from 00101886 from sent7

Text  : Różnice statystyczne odbiegające od średniej dochodziły do ponad 120 osób ,_ przy pojedynczym badaniu 1409 kobiet ._
Tokens: 1______ 2___________ 3__________ 4_ 5_______ 6_________ 7_ 8____ 9__ 10__ 11 12__ 13_________ 14_____ 15__ 16____ 17

Chunks:

(ChunkerEvaluator) Sentence #630 from 00101886 from sent8

Text  : Podobne wyniki dały kolejne badania , biorące pod uwagę początek nazwiska oraz stanu w_ którym dana osoba żyje ,_ początek nazwiska i_ miasta ,_ czy imienia i_ stanu ._
Tokens: 1______ 2_____ 3___ 4______ 5______ 6 7______ 8__ 9____ 10______ 11______ 12__ 13___ 14 15____ 16__ 17___ 18__ 19 20______ 21______ 22 23____ 24 25_ 26_____ 27 28___ 29

Chunks:

(ChunkerEvaluator) Sentence #631 from 00101886 from sent9

Text  : Jak widać , miasto które dzieli z nami trzy pierwsze litery w_ naszym mniemaniu może być idealnym miejscem na spędzenie reszty życia ._
Tokens: 1__ 2____ 3 4_____ 5____ 6_____ 7 8___ 9___ 10______ 11____ 12 13____ 14_______ 15__ 16_ 17______ 18______ 19 20_______ 21____ 22___ 23

Chunks:

(ChunkerEvaluator) Sentence #632 from 00101886 from sent10

Text  : Mając do dyspozycji tak datę zgonu jak i urodzenia ,_ sprawdzono następnie jak czas naszego przyjścia na świat wpływa na wybór miasta w_ którym żyjemy ._
Tokens: 1____ 2_ 3_________ 4__ 5___ 6____ 7__ 8 9________ 10 11________ 12_______ 13_ 14__ 15_____ 16_______ 17 18___ 19____ 20 21___ 22____ 23 24____ 25____ 26

Chunks:

(ChunkerEvaluator) Sentence #633 from 00101886 from sent11

Text  : Kolejny raz hipoteza badaczy okazała się słuszna – więcej niż by to wynikało z_ przypadku osób np ._ z_ dwójką w_ dacie urodzenia za swoją siedzibę wybiera miasto Two Harbors ._
Tokens: 1______ 2__ 3_______ 4______ 5______ 6__ 7______ 8 9_____ 10_ 11 12 13______ 14 15_______ 16__ 17 18 19 20____ 21 22___ 23_______ 24 25___ 26______ 27_____ 28____ 29_ 30_____ 31

Chunks:
  TruePositive nam [29,30] = Two Harbors (confidence=1.00)

(ChunkerEvaluator) Sentence #634 from 00101886 from sent12

Text  : Zależność ta zaistniała również w przypadku Three Oaks , Six Mile jak i_ w_ kolejnych ,_ analogicznych przykładach ._
Tokens: 1________ 2_ 3_________ 4______ 5 6________ 7____ 8___ 9 10_ 11__ 12_ 13 14 15_______ 16 17___________ 18_________ 19

Chunks:
  TruePositive nam [7,8] = Three Oaks (confidence=1.00)
  TruePositive nam [10,11] = Six Mile (confidence=1.00)

(ChunkerEvaluator) Sentence #635 from 00101886 from sent13

Text  : Następnie badacze odstąpili od sprawdzania miejsca zamieszkania na rzecz wybranego życiowego zawodu ._
Tokens: 1________ 2______ 3________ 4_ 5__________ 6______ 7___________ 8_ 9____ 10_______ 11_______ 12____ 13

Chunks:

(ChunkerEvaluator) Sentence #636 from 00101886 from sent14

Text  : Wybrali do porównania dentystów i prawników .
Tokens: 1______ 2_ 3_________ 4________ 5 6________ 7

Chunks:

(ChunkerEvaluator) Sentence #637 from 00101886 from sent15

Text  : Internetowe listy związków obu tych profesji pozwoliły przeprowadzić analizę opierającą się na ocenie podobieństwa imienia do danego rodzaju pracy ._
Tokens: 1__________ 2____ 3_______ 4__ 5___ 6_______ 7________ 8____________ 9______ 10________ 11_ 12 13____ 14__________ 15_____ 16 17____ 18_____ 19___ 20

Chunks:

(ChunkerEvaluator) Sentence #638 from 00101886 from sent16

Text  : I tak Denise , Dena , Denice , Denna ,_ Dennis ,_ Denis ,_ Denny ,_ Denver byli poszukiwani przez badaczy jako dentyści a_ Laura ,_ Lauren ,_ Laurie ,_ Laverne ,_ Lawrence ,_ Larry ,_ Lance i_ Laurence jako prawnicy (_ ang ._ Lawyer )_ ._
Tokens: 1 2__ 3_____ 4 5___ 6 7_____ 8 9____ 10 11____ 12 13___ 14 15___ 16 17____ 18__ 19_________ 20___ 21_____ 22__ 23______ 24 25___ 26 27____ 28 29____ 30 31_____ 32 33______ 34 35___ 36 37___ 38 39______ 40__ 41______ 42 43_ 44 45____ 46 47

Chunks:
  TruePositive nam [3,3] = Denise (confidence=1.00)
  TruePositive nam [5,5] = Dena (confidence=1.00)
  TruePositive nam [7,7] = Denice (confidence=1.00)
  TruePositive nam [9,9] = Denna (confidence=1.00)
  TruePositive nam [11,11] = Dennis (confidence=1.00)
  TruePositive nam [13,13] = Denis (confidence=1.00)
  TruePositive nam [15,15] = Denny (confidence=0.99)
  TruePositive nam [17,17] = Denver (confidence=0.97)
  TruePositive nam [25,25] = Laura (confidence=0.99)
  TruePositive nam [27,27] = Lauren (confidence=1.00)
  TruePositive nam [29,29] = Laurie (confidence=1.00)
  TruePositive nam [31,31] = Laverne (confidence=1.00)
  TruePositive nam [33,33] = Lawrence (confidence=1.00)
  TruePositive nam [35,35] = Larry (confidence=1.00)
  TruePositive nam [37,37] = Lance (confidence=0.97)
  TruePositive nam [39,39] = Laurence (confidence=1.00)
  FalsePositive nam [45,45] = Lawyer (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #639 from 00101886 from sent17

Text  : Również na tym polu wyliczona średnia wartość różniła się na korzyść autorów hipotezy ._
Tokens: 1______ 2_ 3__ 4___ 5________ 6______ 7______ 8______ 9__ 10 11_____ 12_____ 13______ 14

Chunks:

2017-06-14 20:27:42,886 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 37 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101934.xml
(ChunkerEvaluator) Sentence #640 from 00101934 from sent1

Text  : Dziennik Ustaw z 28 kwietnia 1999 Nr 38 poz ._ 370
Tokens: 1_______ 2____ 3 4_ 5_______ 6___ 7_ 8_ 9__ 10 11_

Chunks:
  TruePositive nam [1,2] = Dziennik Ustaw (confidence=1.00)

(ChunkerEvaluator) Sentence #641 from 00101934 from sent2

Text  : ROZPORZĄDZENIE MINISTRA ROLNICTWA I GOSPODARKI ŻYWNOŚCIOWEJ
Tokens: 1_____________ 2_______ 3________ 4 5_________ 6___________

Chunks:
  FalsePositive nam [1,6] = ROZPORZĄDZENIE MINISTRA ROLNICTWA I GOSPODARKI ŻYWNOŚCIOWEJ (confidence=0.98) (incorrect boundry)
  FalseNegative nam [2,6] = MINISTRA ROLNICTWA I GOSPODARKI ŻYWNOŚCIOWEJ

(ChunkerEvaluator) Sentence #642 from 00101934 from sent3

Text  : z dnia 15 marca 1999 r .
Tokens: 1 2___ 3_ 4____ 5___ 6 7

Chunks:

(ChunkerEvaluator) Sentence #643 from 00101934 from sent4

Text  : w sprawie połowu ryb w wodach śródlądowych .
Tokens: 1 2______ 3_____ 4__ 5 6_____ 7___________ 8

Chunks:

(ChunkerEvaluator) Sentence #644 from 00101934 from sent5

Text  : Na podstawie art . 21 ustawy z dnia 18 kwietnia 1985 r_ ._ o_ rybactwie śródlądowym (_ Dz ._ U_ ._ Nr 21 ,_ poz ._ 91 ,_ z_ 1988 r_ ._ Nr 19 ,_ poz ._ 132 ,_ z_ 1989 r_ ._ Nr 35 ,_ poz ._ 192 ,_ z_ 1990 r_ ._ Nr 34 ,_ poz ._ 198 ,_ z_ 1995 r_ ._ Nr 141 ,_ poz ._ 692 ,_ z_ 1996 r_ ._ Nr 106 ,_ poz ._ 496 i_ Nr 128 ,_ poz ._ 602 ,_ z_ 1997 r_ ._ Nr 88 ,_ poz ._ 554 oraz z__ 1998 r__ .__ Nr_ 106 ,__ poz .__ 668 i__ Nr_ 162 ,__ poz .__ 1126 )__ zarządza się ,__ co_ następuje :__
Tokens: 1_ 2________ 3__ 4 5_ 6_____ 7 8___ 9_ 10______ 11__ 12 13 14 15_______ 16_________ 17 18 19 20 21 22 23 24 25_ 26 27 28 29 30__ 31 32 33 34 35 36_ 37 38_ 39 40 41__ 42 43 44 45 46 47_ 48 49_ 50 51 52__ 53 54 55 56 57 58_ 59 60_ 61 62 63__ 64 65 66 67_ 68 69_ 70 71_ 72 73 74__ 75 76 77 78_ 79 80_ 81 82_ 83 84 85_ 86 87_ 88 89_ 90 91 92__ 93 94 95 96 97 98_ 99 100 101_ 102 103_ 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118_ 119 120_____ 121 122 123 124______ 125

Chunks:
  TruePositive nam [6,16] = ustawy z dnia 18 kwietnia 1985 r . o rybactwie śródlądowym (confidence=0.64)
  TruePositive nam [18,21] = Dz . U . (confidence=1.00)

(ChunkerEvaluator) Sentence #645 from 00101934 from sent6

Text  : § 1 .
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #646 from 00101934 from sent7

Text  : Rozporządzenie określa :
Tokens: 1_____________ 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #647 from 00101934 from sent8

Text  : 1 ) szczegółowe warunki uprawiania amatorskiego połowu ryb ,
Tokens: 1 2 3__________ 4______ 5_________ 6___________ 7_____ 8__ 9

Chunks:

(ChunkerEvaluator) Sentence #648 from 00101934 from sent9

Text  : 2 ) organizację społeczną uprawnioną do przeprowadzania egzaminów w zakresie ochrony i_ połowu ryb ,_
Tokens: 1 2 3__________ 4________ 5_________ 6_ 7______________ 8________ 9 10______ 11_____ 12 13____ 14_ 15

Chunks:

(ChunkerEvaluator) Sentence #649 from 00101934 from sent10

Text  : 3 ) wzór karty wędkarskiej i karty łowiectwa podwodnego oraz wysokość opłaty pobieranej za ich wydanie ,_
Tokens: 1 2 3___ 4____ 5__________ 6 7____ 8________ 9_________ 10__ 11______ 12____ 13________ 14 15_ 16_____ 17

Chunks:

(ChunkerEvaluator) Sentence #650 from 00101934 from sent11

Text  : 4 ) szczegółowe warunki ochrony i połowu ryb , rybackie narzędzia i_ urządzenia połowowe ,_ zasady ustanawiania obwodów rybackich ,_ obrębów hodowlanych i_ ochronnych ,_ oznakowania obrębów i_ sprzętu pływającego służącego do połowu ryb oraz rejestracji tego sprzętu ._
Tokens: 1 2 3__________ 4______ 5______ 6 7_____ 8__ 9 10______ 11_______ 12 13________ 14______ 15 16____ 17__________ 18_____ 19_______ 20 21_____ 22_________ 23 24________ 25 26_________ 27_____ 28 29_____ 30_________ 31_______ 32 33____ 34_ 35__ 36_________ 37__ 38_____ 39

Chunks:

(ChunkerEvaluator) Sentence #651 from 00101934 from sent12

Text  : § 2 .
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #652 from 00101934 from sent13

Text  : Amatorski połów ryb powinno się uprawiać , z zastrzeżeniem §_ 4_ :_
Tokens: 1________ 2____ 3__ 4______ 5__ 6_______ 7 8 9____________ 10 11 12

Chunks:

(ChunkerEvaluator) Sentence #653 from 00101934 from sent14

Text  : 1 ) bez stosowania sztucznego światła ,
Tokens: 1 2 3__ 4_________ 5_________ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #654 from 00101934 from sent15

Text  : 2 ) wędką złożoną z wędziska o długości co najmniej 30 cm ,_ do którego przymocowana jest linka zakończona haczykiem albo sztuczną przynętą bądź zakończona dwoma haczykami ze sztuczną przynętą w_ postaci owada ;_ haczyk wędki nie może mieć więcej niż cztery ostrza ,_ a_ sztuczna przynęta -_ trzy haczyki ,_ 3_ )_ kuszą miotającą harpun na uwięzi ,_ który nie może mieć więcej niż trzy ostrza rozstawione w_ taki sposób ,_ aby nie wykraczały poza obwód koła o_ średnicy 30 mm ;_ konstrukcja harpuna powinna umożliwiać łatwe oddzielenie ostrza od jego trzonu ._
Tokens: 1 2 3____ 4______ 5 6_______ 7 8_______ 9_ 10______ 11 12 13 14 15_____ 16__________ 17__ 18___ 19________ 20_______ 21__ 22______ 23______ 24__ 25________ 26___ 27_______ 28 29______ 30______ 31 32_____ 33___ 34 35____ 36___ 37_ 38__ 39__ 40____ 41_ 42____ 43____ 44 45 46______ 47______ 48 49__ 50_____ 51 52 53 54___ 55_______ 56____ 57 58____ 59 60___ 61_ 62__ 63__ 64____ 65_ 66__ 67____ 68_________ 69 70__ 71____ 72 73_ 74_ 75________ 76__ 77___ 78__ 79 80______ 81 82 83 84_________ 85_____ 86_____ 87________ 88___ 89_________ 90____ 91 92__ 93____ 94

Chunks:

(ChunkerEvaluator) Sentence #655 from 00101934 from sent16

Text  : § 3 .
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #656 from 00101934 from sent17

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #657 from 00101934 from sent18

Text  : Amatorski połów ryb kuszą powinno uprawiać się w promieniu nie większym niż 50 m_ od ustawionego przez osobę dokonującą tego połowu pływaka koloru żółtego o_ wyporności co najmniej 5_ litrów ;_ pływak ustawiany jest na czas połowu ._
Tokens: 1________ 2____ 3__ 4____ 5______ 6_______ 7__ 8 9________ 10_ 11______ 12_ 13 14 15 16_________ 17___ 18___ 19________ 20__ 21____ 22_____ 23____ 24_____ 25 26________ 27 28______ 29 30____ 31 32____ 33_______ 34__ 35 36__ 37____ 38

Chunks:

(ChunkerEvaluator) Sentence #658 from 00101934 from sent19

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #659 from 00101934 from sent20

Text  : Kusza podczas napinania i zwalniania powinna być w całości zanurzona w_ wodzie ._
Tokens: 1____ 2______ 3________ 4 5_________ 6______ 7__ 8 9______ 10_______ 11 12____ 13

Chunks:

2017-06-14 20:27:42,994 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 38 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102023.xml
(ChunkerEvaluator) Sentence #660 from 00102023 from sent1

Text  : Jak podaje serwis Wirtualnemedia.pl : 22 . grudnia 2006 roku Superstacja sp ._ z_ o_ ._ o_ ._ (_ właściciel telewizji Superstacja )_ rozwiązała umowę inwestycyjną z_ Capital Partners (_ CP )_ –_ zawartą we wrześniu br ._ –_ na mocy której CP miała nabyć 30 %_ udziałów w_ Superstacji ._
Tokens: 1__ 2_____ 3_____ 4________________ 5 6_ 7 8______ 9___ 10__ 11_________ 12 13 14 15 16 17 18 19 20________ 21_______ 22_________ 23 24________ 25___ 26__________ 27 28_____ 29______ 30 31 32 33 34_____ 35 36______ 37 38 39 40 41__ 42____ 43 44___ 45___ 46 47 48______ 49 50_________ 51

Chunks:
  TruePositive nam [4,4] = Wirtualnemedia.pl (confidence=1.00)
  TruePositive nam [11,18] = Superstacja sp . z o . o . (confidence=1.00)
  TruePositive nam [22,22] = Superstacja (confidence=1.00)
  TruePositive nam [28,29] = Capital Partners (confidence=1.00)
  TruePositive nam [31,31] = CP (confidence=0.99)
  TruePositive nam [43,43] = CP (confidence=0.84)
  TruePositive nam [50,50] = Superstacji (confidence=0.94)

(ChunkerEvaluator) Sentence #661 from 00102023 from sent2

Text  : Ryszard Krajewski , prezes Superstacji , powiedział portalowi Wirtualnemedia.pl ,_ iż rozwiązanie umowy nastąpiło na skutek niemożności dalszej współpracy z_ CP ._
Tokens: 1______ 2________ 3 4_____ 5__________ 6 7_________ 8________ 9________________ 10 11 12_________ 13___ 14_______ 15 16____ 17_________ 18_____ 19________ 20 21 22

Chunks:
  TruePositive nam [1,2] = Ryszard Krajewski (confidence=1.00)
  TruePositive nam [5,5] = Superstacji (confidence=1.00)
  TruePositive nam [9,9] = Wirtualnemedia.pl (confidence=1.00)
  TruePositive nam [21,21] = CP (confidence=1.00)

(ChunkerEvaluator) Sentence #662 from 00102023 from sent3

Text  : - Powodem decyzji o wycofaniu się ze współpracy z Capital Partners było niewywiązywanie się CP z_ płatności długów wobec dużych operatorów kablowych ,_ co bezpośrednio szkodziło interesom Superstacji –_ komentuje dla portalu Wirtualnemedia.pl Ryszard Krajewski ._
Tokens: 1 2______ 3______ 4 5________ 6__ 7_ 8_________ 9 10_____ 11______ 12__ 13_____________ 14_ 15 16 17_______ 18____ 19___ 20____ 21________ 22_______ 23 24 25__________ 26_______ 27_______ 28_________ 29 30_______ 31_ 32_____ 33_______________ 34_____ 35_______ 36

Chunks:
  TruePositive nam [10,11] = Capital Partners (confidence=1.00)
  TruePositive nam [15,15] = CP (confidence=0.59)
  TruePositive nam [28,28] = Superstacji (confidence=0.97)
  TruePositive nam [33,33] = Wirtualnemedia.pl (confidence=1.00)
  TruePositive nam [34,35] = Ryszard Krajewski (confidence=0.70)

(ChunkerEvaluator) Sentence #663 from 00102023 from sent4

Text  : W ocenie Krajewskiego wypłata odszkodowania w kwocie 1 , 5_ mln złotych z_ tytułu odstąpienia przez CP od umowy inwestycyjnej była bardziej opłacalna od kontynuowania współpracy z_ CP ._
Tokens: 1 2_____ 3___________ 4______ 5____________ 6 7_____ 8 9 10 11_ 12_____ 13 14____ 15_________ 16___ 17 18 19___ 20___________ 21__ 22______ 23_______ 24 25___________ 26________ 27 28 29

Chunks:
  TruePositive nam [3,3] = Krajewskiego (confidence=0.98)
  TruePositive nam [12,12] = złotych (confidence=0.77)
  TruePositive nam [17,17] = CP (confidence=1.00)
  TruePositive nam [28,28] = CP (confidence=1.00)

(ChunkerEvaluator) Sentence #664 from 00102023 from sent5

Text  : W chwili obecnej Superstacja jest na etapie negocjacji nowej umowy inwestycyjnej ._
Tokens: 1 2_____ 3______ 4__________ 5___ 6_ 7_____ 8_________ 9____ 10___ 11___________ 12

Chunks:
  TruePositive nam [4,4] = Superstacja (confidence=0.95)

(ChunkerEvaluator) Sentence #665 from 00102023 from sent6

Text  : Superstacja to nowy kanał telewizyjny zajmujący się kontrowersyjnymi tematami oraz plotkami z_ życia gwiazd ,_ który ruszył w_ listopadzie ._
Tokens: 1__________ 2_ 3___ 4____ 5__________ 6________ 7__ 8_______________ 9_______ 10__ 11______ 12 13___ 14____ 15 16___ 17____ 18 19_________ 20

Chunks:
  TruePositive nam [1,1] = Superstacja (confidence=0.66)

(ChunkerEvaluator) Sentence #666 from 00102023 from sent7

Text  : Superstację można odbierać przez satelitę Astra .
Tokens: 1__________ 2____ 3_______ 4____ 5_______ 6____ 7

Chunks:
  TruePositive nam [6,6] = Astra (confidence=0.99)
  FalseNegative nam [1,1] = Superstację

(ChunkerEvaluator) Sentence #667 from 00102023 from sent8

Text  : Prowadzone są rozmowy nad wprowadzeniem kanału do największych polskich telewizji kablowych i_ platform cyfrowych ._
Tokens: 1_________ 2_ 3______ 4__ 5____________ 6_____ 7_ 8___________ 9_______ 10_______ 11_______ 12 13______ 14_______ 15

Chunks:

(ChunkerEvaluator) Sentence #668 from 00102023 from sent9

Text  : Mój komentarz : ta stacja – z niepojętych dla mnie powodów –_ wzbudza ogromne zainteresowanie internautów ,_ co widać choćby z_ analizy zadawanych wyszukiwarkom zapytań ._
Tokens: 1__ 2________ 3 4_ 5_____ 6 7 8__________ 9__ 10__ 11_____ 12 13_____ 14_____ 15_____________ 16_________ 17 18 19___ 20____ 21 22_____ 23________ 24___________ 25_____ 26

Chunks:

(ChunkerEvaluator) Sentence #669 from 00102023 from sent10

Text  : Wyjaśniam zatem : niniejsza wiadomość została tu zamieszczona z jednego tylko powodu :_ aby napędzić popularności …_ tej witrynie ,_ bo sama stacja to wielkie amatorskie …_
Tokens: 1________ 2____ 3 4________ 5________ 6______ 7_ 8___________ 9 10_____ 11___ 12____ 13 14_ 15______ 16__________ 17 18_ 19______ 20 21 22__ 23____ 24 25_____ 26________ 27

Chunks:

(ChunkerEvaluator) Sentence #670 from 00102023 from sent11

Text  : Zobaczymy w statystykach , co z tego wyniknie ; ot ,_ taki eksperyment ._
Tokens: 1________ 2 3___________ 4 5_ 6 7___ 8_______ 9 10 11 12__ 13_________ 14

Chunks:

(ChunkerEvaluator) Sentence #671 from 00102023 from sent12

Text  : A NUK-owi ( Naszej Ukochanej Koalicji ) życzymy z końcem roku stale tego samego ._
Tokens: 1 2______ 3 4_____ 5________ 6_______ 7 8______ 9 10____ 11__ 12___ 13__ 14____ 15

Chunks:
  TruePositive nam [4,6] = Naszej Ukochanej Koalicji (confidence=0.99)
  FalsePositive nam [1,2] = A NUK-owi (confidence=0.67) (incorrect boundry)
  FalseNegative nam [2,2] = NUK-owi

(ChunkerEvaluator) Sentence #672 from 00102023 from sent13

Text  : W szczególności , by śmy za rok nie mieli komu tego życzyć ._
Tokens: 1 2____________ 3 4_ 5__ 6_ 7__ 8__ 9____ 10__ 11__ 12____ 13

Chunks:

2017-06-14 20:27:43,068 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 39 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102026.xml
(ChunkerEvaluator) Sentence #673 from 00102026 from sent1

Text  : Tymczasem , gdy David Irving jest - całkowicie słusznie !_ -_ ścigany przez policje dziesiątek krajów i_ musi mierzyć się z_ pozwami sądowymi i_ aresztowaniami ,_ podobni mu w_ swej istocie negacjoniści syjonistyczni mają co najwyżej problem z_ tym ,_ że czerwony dywan ,_ który przed nimi rozwinięto na lotnisku ,_ był o_ zgrozo zakurzony ._
Tokens: 1________ 2 3__ 4____ 5_____ 6___ 7 8_________ 9_______ 10 11 12_____ 13___ 14_____ 15________ 16____ 17 18__ 19_____ 20_ 21 22_____ 23______ 24 25____________ 26 27_____ 28 29 30__ 31_____ 32__________ 33___________ 34__ 35 36______ 37_____ 38 39_ 40 41 42______ 43___ 44 45___ 46___ 47__ 48________ 49 50______ 51 52_ 53 54____ 55_______ 56

Chunks:
  TruePositive nam [4,5] = David Irving (confidence=1.00)

(ChunkerEvaluator) Sentence #674 from 00102026 from sent2

Text  : Albo - albo : spenalizować negacjonizm Nakby albo zdepenalizować negacjonizm Shoah !_
Tokens: 1___ 2 3___ 4 5___________ 6__________ 7____ 8___ 9_____________ 10_________ 11___ 12

Chunks:
  TruePositive nam [11,11] = Shoah (confidence=0.71)
  FalseNegative nam [7,7] = Nakby

(ChunkerEvaluator) Sentence #675 from 00102026 from sent3

Text  : Owa fiksacja ideologiczna , sprytny trik , który pozwala dowodzić ,_ że ludzie ,_ których setkami tysięcy wypędzono z_ ich domów ,_ w_ ogóle nie istnieli ,_ nie jest jedyną tego rodzaju mistyfikacją ._
Tokens: 1__ 2_______ 3___________ 4 5______ 6___ 7 8____ 9______ 10______ 11 12 13____ 14 15_____ 16_____ 17_____ 18_______ 19 20_ 21___ 22 23 24___ 25_ 26______ 27 28_ 29__ 30____ 31__ 32_____ 33__________ 34

Chunks:

(ChunkerEvaluator) Sentence #676 from 00102026 from sent4

Text  : Przede wszystkim jednak należy pamiętać , że znakomicie wpisuje się ona ,_ wraz z_ innymi kłamstwami propagandy syjonistycznej ,_ w_ konstelację globalnego kapitalizmu i_ miraży ,_ które ta konstelacja generuje ._
Tokens: 1_____ 2________ 3_____ 4_____ 5_______ 6 7_ 8_________ 9______ 10_ 11_ 12 13__ 14 15____ 16________ 17________ 18____________ 19 20 21_________ 22________ 23_________ 24 25____ 26 27___ 28 29_________ 30______ 31

Chunks:

(ChunkerEvaluator) Sentence #677 from 00102026 from sent5

Text  : Kapitalizm jest systemem opartym na nierówności i nierówność tę afirmującym w_ stopniu pod pewnymi względami większym niż systemy niewolniczy i_ feudalny ._
Tokens: 1_________ 2___ 3_______ 4______ 5_ 6__________ 7 8_________ 9_ 10_________ 11 12_____ 13_ 14_____ 15_______ 16______ 17_ 18_____ 19_________ 20 21______ 22

Chunks:

(ChunkerEvaluator) Sentence #678 from 00102026 from sent6

Text  : Walka o samostanowienie narodu palestyńskiego oraz obalenie syjonizmu i wyrugowanie wszystkich jego ideologicznych aplegr stanowi ze swej natury cios w_ ideologię nierówności ,_ uprzywilejowania i_ upośledzenia ,_ jak też cios w_ ideę państwa narodowego wraz z_ jego nieodłącznym ekskluzywizmem ._
Tokens: 1____ 2 3______________ 4_____ 5_____________ 6___ 7_______ 8________ 9 10_________ 11________ 12__ 13____________ 14____ 15_____ 16 17__ 18____ 19__ 20 21_______ 22_________ 23 24______________ 25 26__________ 27 28_ 29_ 30__ 31 32__ 33_____ 34________ 35__ 36 37__ 38__________ 39____________ 40

Chunks:

(ChunkerEvaluator) Sentence #679 from 00102026 from sent7

Text  : Bez względu na reakcyjne elementy ideologii Hamasu i drobnoburżuazyjną ,_ z_ natury swej wsteczną ,_ bazę społeczną tego ugrupowania ,_ krytyka zasady podwójnej miary wobec Izraela i_ Palestyńczyków ,_ wypływająca z_ ust Chaleda Meszaala i_ innych liderów tej formacji ,_ stanowi echo idei równościowych i_ emancypacyjnych ._
Tokens: 1__ 2______ 3_ 4________ 5_______ 6________ 7_____ 8 9________________ 10 11 12____ 13__ 14______ 15 16__ 17_______ 18__ 19_________ 20 21_____ 22____ 23_______ 24___ 25___ 26_____ 27 28____________ 29 30_________ 31 32_ 33_____ 34______ 35 36____ 37_____ 38_ 39______ 40 41_____ 42__ 43__ 44___________ 45 46_____________ 47

Chunks:
  TruePositive nam [7,7] = Hamasu (confidence=0.99)
  TruePositive nam [26,26] = Izraela (confidence=1.00)
  TruePositive nam [28,28] = Palestyńczyków (confidence=0.98)
  TruePositive nam [33,34] = Chaleda Meszaala (confidence=1.00)

(ChunkerEvaluator) Sentence #680 from 00102026 from sent8

Text  : Choćby dlatego przyrównywanie Hamasu , a także Hezbollahu , stanowiących bez względu na wiele ich patologicznych cech formacje narodowowyzwoleńcze ,_ do Al -_ Kaidy jest wyrazem najskrajniejszej demagogii ._
Tokens: 1_____ 2______ 3_____________ 4_____ 5 6 7____ 8_________ 9 10__________ 11_ 12_____ 13 14___ 15_ 16____________ 17__ 18______ 19_________________ 20 21 22 23 24___ 25__ 26_____ 27______________ 28_______ 29

Chunks:
  TruePositive nam [4,4] = Hamasu (confidence=1.00)
  TruePositive nam [8,8] = Hezbollahu (confidence=1.00)
  TruePositive nam [22,24] = Al - Kaidy (confidence=1.00)

(ChunkerEvaluator) Sentence #681 from 00102026 from sent9

Text  : Etos antykapitalistyczny , stanowiący trzon wszelkiej współczesnej myśli wolnościowej ,_ znajduje swe echo nawet w_ słowach tych ,_ którzy kapitalizm chcieli by budować ._
Tokens: 1___ 2__________________ 3 4_________ 5____ 6________ 7___________ 8____ 9___________ 10 11______ 12_ 13__ 14___ 15 16_____ 17__ 18 19____ 20________ 21_____ 22 23_____ 24

Chunks:

(ChunkerEvaluator) Sentence #682 from 00102026 from sent10

Text  : Syjonizm to poza wszystkim szczególnie zdegenerowany kapitalizm .
Tokens: 1_______ 2_ 3___ 4________ 5__________ 6____________ 7_________ 8

Chunks:

(ChunkerEvaluator) Sentence #683 from 00102026 from sent11

Text  : Doprowadził zarówno do brutalnego wyzysku izraelskiej klasy robotniczej i dysproporcji majątkowych ,_ sprawiających ,_ że w_ kraju o_ PKB per capita kilkakrotnie wyższym od polskiego co czwarte czy nawet co trzecie dziecko przychodzi do szkoły głodne ,_ jak też do niebywałego wzrostu szowinizmu w_ społeczeństwie ,_ które ,_ przypomnijmy ,_ było by niemożliwe bez gigantycznej czystki etnicznej u_ zarania związanej z_ nim państwowości ._
Tokens: 1__________ 2______ 3_ 4_________ 5______ 6__________ 7____ 8__________ 9 10__________ 11_________ 12 13___________ 14 15 16 17___ 18 19_ 20_ 21____ 22__________ 23_____ 24 25_______ 26 27_____ 28_ 29___ 30 31_____ 32_____ 33________ 34 35____ 36____ 37 38_ 39_ 40 41_________ 42_____ 43________ 44 45____________ 46 47___ 48 49__________ 50 51__ 52 53________ 54_ 55__________ 56_____ 57_______ 58 59_____ 60_______ 61 62_ 63__________ 64

Chunks:
  TruePositive nam [19,19] = PKB (confidence=0.99)

(ChunkerEvaluator) Sentence #684 from 00102026 from sent12

Text  : Wyzysk klasowy i ucisk narodowy to dwie głowy tej samej hydry :_ systemowej nierówności ._
Tokens: 1_____ 2______ 3 4____ 5_______ 6_ 7___ 8____ 9__ 10___ 11___ 12 13________ 14_________ 15

Chunks:

(ChunkerEvaluator) Sentence #685 from 00102026 from sent13

Text  : To ta afirmowana przez luminarzy systemu nierówność jest matką zmor o_ wiele gorszych niż terroryzm :_ od głodu i_ wojen po zanieczyszczenie środowiska oraz dyskryminację kobiet i_ nie -_ heteroseksualistów ._
Tokens: 1_ 2_ 3_________ 4____ 5________ 6______ 7_________ 8___ 9____ 10__ 11 12___ 13______ 14_ 15_______ 16 17 18___ 19 20___ 21 22______________ 23________ 24__ 25___________ 26____ 27 28_ 29 30________________ 31

Chunks:

2017-06-14 20:27:43,176 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 40 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102030.xml
(ChunkerEvaluator) Sentence #686 from 00102030 from sent1

Text  : Pierwsi laureaci konkursu " Qmam media "
Tokens: 1______ 2_______ 3_______ 4 5___ 6____ 7

Chunks:
  TruePositive nam [5,6] = Qmam media (confidence=1.00)

(ChunkerEvaluator) Sentence #687 from 00102030 from sent2

Text  : Gratulacje !
Tokens: 1_________ 2

Chunks:

(ChunkerEvaluator) Sentence #688 from 00102030 from sent3

Text  : Są pierwsi zwycięzcy w konkursie " Qmam media " ._
Tokens: 1_ 2______ 3________ 4 5________ 6 7___ 8____ 9 10

Chunks:
  TruePositive nam [7,8] = Qmam media (confidence=1.00)

(ChunkerEvaluator) Sentence #689 from 00102030 from sent4

Text  : Jury Fundacji Nowe Media postanowiło wyróżnić cztery redakcje .
Tokens: 1___ 2_______ 3___ 4____ 5__________ 6_______ 7_____ 8_______ 9

Chunks:
  TruePositive nam [2,4] = Fundacji Nowe Media (confidence=0.97)

(ChunkerEvaluator) Sentence #690 from 00102030 from sent5

Text  : Laureatami w kategorii " qmama warsztatowego " zostały zespoły qmamów :_
Tokens: 1_________ 2 3________ 4 5____ 6____________ 7 8______ 9______ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #691 from 00102030 from sent6

Text  : 1 . Piąte przez dziesiąte - X Liceum Ogólnokształcącego w_ Toruniu
Tokens: 1 2 3____ 4____ 5________ 6 7 8_____ 9_________________ 10 11_____

Chunks:
  TruePositive nam [3,5] = Piąte przez dziesiąte (confidence=0.69)
  TruePositive nam [7,9] = X Liceum Ogólnokształcącego (confidence=0.65)
  TruePositive nam [11,11] = Toruniu (confidence=0.95)

(ChunkerEvaluator) Sentence #692 from 00102030 from sent7

Text  : 2 . Wingapo - Zespołu Szkół Ponadgimnazjalnych im . Władysława Broniewskiego w_ Świdwinie
Tokens: 1 2 3______ 4 5______ 6____ 7_________________ 8_ 9 10________ 11___________ 12 13_______

Chunks:
  TruePositive nam [3,3] = Wingapo (confidence=0.97)
  TruePositive nam [5,11] = Zespołu Szkół Ponadgimnazjalnych im . Władysława Broniewskiego (confidence=1.00)
  TruePositive nam [13,13] = Świdwinie (confidence=1.00)

(ChunkerEvaluator) Sentence #693 from 00102030 from sent8

Text  : Laureatami w kategorii " qmama cyklicznego " zostały zespoły qmamów :_
Tokens: 1_________ 2 3________ 4 5____ 6__________ 7 8______ 9______ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #694 from 00102030 from sent9

Text  : 1 . Szkolnik - Szkoły Podstawowej nr 7 w Goleniowie
Tokens: 1 2 3_______ 4 5_____ 6__________ 7_ 8 9 10________

Chunks:
  TruePositive nam [3,3] = Szkolnik (confidence=0.99)
  TruePositive nam [5,8] = Szkoły Podstawowej nr 7 (confidence=0.98)
  TruePositive nam [10,10] = Goleniowie (confidence=0.99)

(ChunkerEvaluator) Sentence #695 from 00102030 from sent10

Text  : 2 . Platernówka - Zespołu Szkół nr 2 im ._ Emilii Plater w_ Piasecznie
Tokens: 1 2 3__________ 4 5______ 6____ 7_ 8 9_ 10 11____ 12____ 13 14________

Chunks:
  TruePositive nam [3,3] = Platernówka (confidence=0.81)
  TruePositive nam [5,12] = Zespołu Szkół nr 2 im . Emilii Plater (confidence=0.98)
  TruePositive nam [14,14] = Piasecznie (confidence=1.00)

(ChunkerEvaluator) Sentence #696 from 00102030 from sent11

Text  : Nagrodzonym redakcjom gratulujemy a pozostałym qmamowcom przypominamy : każde z_ Was ma szansę na nagrodę ._
Tokens: 1__________ 2________ 3__________ 4 5_________ 6________ 7___________ 8 9____ 10 11_ 12 13____ 14 15_____ 16

Chunks:

(ChunkerEvaluator) Sentence #697 from 00102030 from sent12

Text  : Liczy się pomysł i to , co z nim zrobicie ._
Tokens: 1____ 2__ 3_____ 4 5_ 6 7_ 8 9__ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #698 from 00102030 from sent13

Text  : Z ciekawością przyglądamy się temu , jakie tematy wybieracie ,_ w_ jaki sposób je realizujecie ,_ ile wkładacie wysiłku w_ to ,_ by przygotować estetyczną gazetę ._
Tokens: 1 2__________ 3__________ 4__ 5___ 6 7____ 8_____ 9_________ 10 11 12__ 13____ 14 15__________ 16 17_ 18_______ 19_____ 20 21 22 23 24_________ 25________ 26____ 27

Chunks:

(ChunkerEvaluator) Sentence #699 from 00102030 from sent14

Text  : Pamiętajcie , że każde z Was . . . ma wybór ,_ ma wpływ :_ )_
Tokens: 1__________ 2 3_ 4____ 5 6__ 7 8 9 10 11___ 12 13 14___ 15 16

Chunks:

2017-06-14 20:27:43,219 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 41 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102040.xml
(ChunkerEvaluator) Sentence #700 from 00102040 from sent1

Text  : Dwa tygodnie temu synowie WO nauczyli mnie grać w Magic the Gathering ,_ strategiczną grę karcianą ._
Tokens: 1__ 2_______ 3___ 4______ 5_ 6_______ 7___ 8___ 9 10___ 11_ 12_______ 13 14__________ 15_ 16______ 17

Chunks:
  TruePositive nam [10,12] = Magic the Gathering (confidence=1.00)
  FalsePositive nam [5,5] = WO (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #701 from 00102040 from sent2

Text  : Gra jest niezmiernie wciągająca , w związku z czym w_ szybkim czasie zapamiętuje się mnóstwo informacji typu "_ Zimny Oddech blokuje moce ognia "_ ._
Tokens: 1__ 2___ 3__________ 4_________ 5 6 7______ 8 9___ 10 11_____ 12____ 13_________ 14_ 15_____ 16________ 17__ 18 19___ 20____ 21_____ 22__ 23___ 24 25

Chunks:
  FalsePositive nam [19,20] = Zimny Oddech (confidence=0.98) (incorrect boundry)

(ChunkerEvaluator) Sentence #702 from 00102040 from sent3

Text  : 13 - letni Anshul Samar postanowił wykorzystać ten uboczny skutek grania w_ gry i_ stworzył grę Elementeo -_ strategiczną grę karcianą ,_ w_ której gra się kartami z_ ._ ._ ._ układu okresowego pierwiastków ._
Tokens: 1_ 2 3____ 4_____ 5____ 6_________ 7__________ 8__ 9______ 10____ 11____ 12 13_ 14 15______ 16_ 17_______ 18 19__________ 20_ 21______ 22 23 24____ 25_ 26_ 27_____ 28 29 30 31 32____ 33________ 34__________ 35

Chunks:
  TruePositive nam [4,5] = Anshul Samar (confidence=0.95)
  TruePositive nam [17,17] = Elementeo (confidence=0.96)

(ChunkerEvaluator) Sentence #703 from 00102040 from sent4

Text  : Karty atomy , karty cząsteczki , karty laboratoryjne .
Tokens: 1____ 2____ 3 4____ 5_________ 6 7____ 8____________ 9

Chunks:

(ChunkerEvaluator) Sentence #704 from 00102040 from sent5

Text  : Prawdziwe reakcje i właściwości .
Tokens: 1________ 2______ 3 4__________ 5

Chunks:

(ChunkerEvaluator) Sentence #705 from 00102040 from sent6

Text  : Prawdziwa wiedza .
Tokens: 1________ 2_____ 3

Chunks:

(ChunkerEvaluator) Sentence #706 from 00102040 from sent7

Text  : Genialne .
Tokens: 1_______ 2

Chunks:

(ChunkerEvaluator) Sentence #707 from 00102040 from sent8

Text  : Nieletni biznesmen stał się z miejsca gwiazdą poważnej konferencji TiECON ,_ i_ jak sądzę czeka go świetlana przyszłość biznesowa ._
Tokens: 1_______ 2________ 3___ 4__ 5 6______ 7______ 8_______ 9__________ 10____ 11 12 13_ 14___ 15___ 16 17_______ 18________ 19_______ 20

Chunks:
  TruePositive nam [10,10] = TiECON (confidence=0.99)

(ChunkerEvaluator) Sentence #708 from 00102040 from sent9

Text  : Jeśli opis gry w pełni odpowiada jej grywalności , to niewątpliwie o_ Elementeo jeszcze usłyszymy
Tokens: 1____ 2___ 3__ 4 5____ 6________ 7__ 8__________ 9 10 11__________ 12 13_______ 14_____ 15_______

Chunks:
  TruePositive nam [13,13] = Elementeo (confidence=0.88)

(ChunkerEvaluator) Sentence #709 from 00102040 from sent10

Text  : A ja piszę o tym , bo w polskiej dyskusji o_ podręcznikach dużo sił i_ czasu poświęca się na problem ich ceny lub odpowiedniego przedstawienia historii naszego zakątka Europy ,_ ale zgoła w_ ogóle nie myśli o_ ich edukacyjnym potencjale ._
Tokens: 1 2_ 3____ 4 5__ 6 7_ 8 9_______ 10______ 11 12___________ 13__ 14_ 15 16___ 17______ 18_ 19 20_____ 21_ 22__ 23_ 24___________ 25____________ 26______ 27_____ 28_____ 29____ 30 31_ 32___ 33 34___ 35_ 36___ 37 38_ 39_________ 40________ 41

Chunks:
  TruePositive nam [29,29] = Europy (confidence=1.00)

(ChunkerEvaluator) Sentence #710 from 00102040 from sent11

Text  : Tymczasem dzieciaki które " nie chcą się uczyć " bezproblemowo opanowują potężne biblioteki informacji na temat fikcyjnych światów -_ Pokemon ,_ Bionicle ,_ World of Warcraft ,_ you name it -_ o_ ile tylko pomaga to w_ grze ._
Tokens: 1________ 2________ 3____ 4 5__ 6___ 7__ 8____ 9 10___________ 11_______ 12_____ 13________ 14________ 15 16___ 17________ 18_____ 19 20_____ 21 22______ 23 24___ 25 26______ 27 28_ 29__ 30 31 32 33_ 34___ 35____ 36 37 38__ 39

Chunks:
  TruePositive nam [20,20] = Pokemon (confidence=0.96)
  TruePositive nam [22,22] = Bionicle (confidence=1.00)
  TruePositive nam [24,26] = World of Warcraft (confidence=1.00)

(ChunkerEvaluator) Sentence #711 from 00102040 from sent12

Text  : Wykorzystanie tej naturalnej skłonności do nauki realnej wiedzy to pomysł rewelacyjny ._
Tokens: 1____________ 2__ 3_________ 4_________ 5_ 6____ 7______ 8_____ 9_ 10____ 11_________ 12

Chunks:

(ChunkerEvaluator) Sentence #712 from 00102040 from sent13

Text  : Jak na razie większość gier edukacyjnych , z którymi miałem do czynienia ,_ miała strukturę i_ seksapil teleturnieju "_ Koło fortuny "_ ._
Tokens: 1__ 2_ 3____ 4________ 5___ 6___________ 7 8 9______ 10____ 11 12_______ 13 14___ 15_______ 16 17______ 18__________ 19 20__ 21_____ 22 23

Chunks:
  TruePositive nam [20,21] = Koło fortuny (confidence=0.74)

(ChunkerEvaluator) Sentence #713 from 00102040 from sent14

Text  : W najlepszym przypadku .
Tokens: 1 2_________ 3________ 4

Chunks:

(ChunkerEvaluator) Sentence #714 from 00102040 from sent15

Text  : Ktoś słyszał o czymś , co by wyrastało znacząco ponad ten poziom ?_
Tokens: 1___ 2______ 3 4____ 5 6_ 7_ 8________ 9_______ 10___ 11_ 12____ 13

Chunks:

2017-06-14 20:27:43,288 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 42 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102059.xml
(ChunkerEvaluator) Sentence #715 from 00102059 from sent1

Text  : Jury konkursu " Qmam media " dokonało wyboru najlepszych qmamów opublikowanych w_ lutym ._
Tokens: 1___ 2_______ 3 4___ 5____ 6 7_______ 8_____ 9__________ 10____ 11____________ 12 13___ 14

Chunks:
  TruePositive nam [4,5] = Qmam media (confidence=0.99)

(ChunkerEvaluator) Sentence #716 from 00102059 from sent2

Text  : Przedstawiamy listę laureatów w dwóch kategoriach ( qmam cykliczny i_ warsztatowy )_ :_ Bez kitu !_ ,_ Harcerski Eskulap ,_ Rzep ,_ Read ,_ Melchior The Times ,_ Life School ._
Tokens: 1____________ 2____ 3________ 4 5____ 6__________ 7 8___ 9________ 10 11_________ 12 13 14_ 15__ 16 17 18_______ 19_____ 20 21__ 22 23__ 24 25______ 26_ 27___ 28 29__ 30____ 31

Chunks:
  TruePositive nam [18,19] = Harcerski Eskulap (confidence=1.00)
  TruePositive nam [21,21] = Rzep (confidence=1.00)
  TruePositive nam [25,27] = Melchior The Times (confidence=1.00)
  TruePositive nam [29,30] = Life School (confidence=1.00)
  FalsePositive nam [23,23] = Read (confidence=1.00) (incorrect boundry)
  FalseNegative nam [14,15] = Bez kitu
  FalseNegative nam [23,24] = Read ,

(ChunkerEvaluator) Sentence #717 from 00102059 from sent3

Text  : Gratulujemy !
Tokens: 1__________ 2

Chunks:

(ChunkerEvaluator) Sentence #718 from 00102059 from sent4

Text  : Jury przyznało nagrody w kategorii " qmama cyklicznego " 2_ /_ 2011 redakcjom qmamów :_
Tokens: 1___ 2________ 3______ 4 5________ 6 7____ 8__________ 9 10 11 12__ 13_______ 14____ 15

Chunks:

(ChunkerEvaluator) Sentence #719 from 00102059 from sent5

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #720 from 00102059 from sent6

Text  : Bez kitu !
Tokens: 1__ 2___ 3

Chunks:
  FalseNegative nam [1,2] = Bez kitu

(ChunkerEvaluator) Sentence #721 from 00102059 from sent7

Text  : - Zespołu Szkół w Piaskach .
Tokens: 1 2______ 3____ 4 5_______ 6

Chunks:
  TruePositive nam [2,3] = Zespołu Szkół (confidence=0.90)
  TruePositive nam [5,5] = Piaskach (confidence=0.97)

(ChunkerEvaluator) Sentence #722 from 00102059 from sent8

Text  : - Zespołu Szkół im . Cypriana Kamila Norwida w Dzierzgoniu ._
Tokens: 1 2______ 3____ 4_ 5 6_______ 7_____ 8______ 9 10_________ 11

Chunks:
  TruePositive nam [2,8] = Zespołu Szkół im . Cypriana Kamila Norwida (confidence=0.95)
  TruePositive nam [10,10] = Dzierzgoniu (confidence=0.99)

(ChunkerEvaluator) Sentence #723 from 00102059 from sent9

Text  : Jury przyznało nagrody w kategorii " qmama warsztatowego " 2_ /_ 2011 redakcjom qmamów :_
Tokens: 1___ 2________ 3______ 4 5________ 6 7____ 8____________ 9 10 11 12__ 13_______ 14____ 15

Chunks:

(ChunkerEvaluator) Sentence #724 from 00102059 from sent10

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #725 from 00102059 from sent11

Text  : - I Liceum Ogólnokształcącego im . Mikołaja Kopernika w Kołobrzegu ._
Tokens: 1 2 3_____ 4_________________ 5_ 6 7_______ 8________ 9 10________ 11

Chunks:
  TruePositive nam [2,8] = I Liceum Ogólnokształcącego im . Mikołaja Kopernika (confidence=0.54)
  TruePositive nam [10,10] = Kołobrzegu (confidence=0.99)

(ChunkerEvaluator) Sentence #726 from 00102059 from sent12

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #727 from 00102059 from sent13

Text  : Melchior The Times - Zespołu Szkół nr 1 w Błoniu ._
Tokens: 1_______ 2__ 3____ 4 5______ 6____ 7_ 8 9 10____ 11

Chunks:
  TruePositive nam [1,3] = Melchior The Times (confidence=1.00)
  TruePositive nam [5,8] = Zespołu Szkół nr 1 (confidence=0.99)
  TruePositive nam [10,10] = Błoniu (confidence=0.99)

(ChunkerEvaluator) Sentence #728 from 00102059 from sent14

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #729 from 00102059 from sent15

Text  : Life School - Gimnazjum w Daszynie .
Tokens: 1___ 2_____ 3 4________ 5 6_______ 7

Chunks:
  TruePositive nam [1,2] = Life School (confidence=0.99)
  TruePositive nam [4,4] = Gimnazjum (confidence=0.98)
  TruePositive nam [6,6] = Daszynie (confidence=1.00)

(ChunkerEvaluator) Sentence #730 from 00102059 from sent16

Text  : Laureatom serdecznie gratulujemy !
Tokens: 1________ 2_________ 3__________ 4

Chunks:

(ChunkerEvaluator) Sentence #731 from 00102059 from sent17

Text  : Za niespełna miesiąc - podczas uroczystej gali 16 . MAM Forum Pismaków ogłosimy laureatów rocznych konkursu Qmam media -_ zdobywców tytułu Qmam roku
Tokens: 1_ 2________ 3______ 4 5______ 6_________ 7___ 8_ 9 10_ 11___ 12______ 13______ 14_______ 15______ 16______ 17__ 18___ 19 20_______ 21____ 22__ 23__

Chunks:
  TruePositive nam [22,23] = Qmam roku (confidence=0.78)
  FalsePositive nam [10,12] = MAM Forum Pismaków (confidence=0.95) (incorrect boundry)
  FalsePositive nam [17,17] = Qmam (confidence=0.98) (incorrect boundry)
  FalseNegative nam [8,12] = 16 . MAM Forum Pismaków
  FalseNegative nam [17,18] = Qmam media

2017-06-14 20:27:43,330 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 43 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102125.xml
(ChunkerEvaluator) Sentence #732 from 00102125 from sent1

Text  : Sympatyczne , niedzielne spotkanie w kameralnym gronie rozpoczęlismy od wyścigów modeli elektrycznych ._
Tokens: 1__________ 2 3_________ 4________ 5 6_________ 7_____ 8____________ 9_ 10______ 11____ 12___________ 13

Chunks:

(ChunkerEvaluator) Sentence #733 from 00102125 from sent2

Text  : Na torze , po dłuższej nieobecności , pojawił się należacy do Jarka buggy Losi XXX -_ CR ._
Tokens: 1_ 2____ 3 4_ 5_______ 6___________ 7 8______ 9__ 10______ 11 12___ 13___ 14__ 15_ 16 17 18

Chunks:
  TruePositive nam [12,12] = Jarka (confidence=0.99)
  TruePositive nam [14,14] = Losi (confidence=1.00)
  TruePositive nam [15,17] = XXX - CR (confidence=0.88)

(ChunkerEvaluator) Sentence #734 from 00102125 from sent3

Text  : Model zaskoczył niestety wyjątkowo kiepskim prowadzeniem .
Tokens: 1____ 2________ 3_______ 4________ 5_______ 6___________ 7

Chunks:

(ChunkerEvaluator) Sentence #735 from 00102125 from sent4

Text  : Dzięki pomocy Adama udało się szybko odnaleźć przyczynę problemu ,_ którą okazał sie wyciek oleju z_ tylnych amortyzatorów ._
Tokens: 1_____ 2_____ 3____ 4____ 5__ 6_____ 7_______ 8________ 9_______ 10 11___ 12____ 13_ 14____ 15___ 16 17_____ 18___________ 19

Chunks:
  TruePositive nam [3,3] = Adama (confidence=1.00)

(ChunkerEvaluator) Sentence #736 from 00102125 from sent5

Text  : Zmiana oleju , a przy okazji także sprężyn , zdecydowanie poprawiła zachowanie modelu ._
Tokens: 1_____ 2____ 3 4 5___ 6_____ 7____ 8______ 9 10__________ 11_______ 12________ 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #737 from 00102125 from sent6

Text  : Drugą część spotkania zdominowały modele spalinowe : HPI Hellfire ,_ Hot Bodies Lightning Stadium ,_ Jammin '_ CRT ._ 5_ ,_ oraz jedyny spalinowy bagus ,_ który tego dnia wyjechał na tor -_ Hot Bodies Lightning ._
Tokens: 1____ 2____ 3________ 4__________ 5_____ 6________ 7 8__ 9_______ 10 11_ 12____ 13_______ 14_____ 15 16____ 17 18_ 19 20 21 22__ 23____ 24_______ 25___ 26 27___ 28__ 29__ 30______ 31 32_ 33 34_ 35____ 36_______ 37

Chunks:
  TruePositive nam [11,14] = Hot Bodies Lightning Stadium (confidence=1.00)
  TruePositive nam [34,36] = Hot Bodies Lightning (confidence=1.00)
  FalsePositive nam [8,9] = HPI Hellfire (confidence=0.99) (incorrect boundry)
  FalsePositive nam [16,20] = Jammin ' CRT . 5 (confidence=1.00) (incorrect boundry)
  FalseNegative nam [8,8] = HPI
  FalseNegative nam [9,9] = Hellfire
  FalseNegative nam [16,16] = Jammin
  FalseNegative nam [18,20] = CRT . 5

2017-06-14 20:27:43,360 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 44 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102260.xml
(ChunkerEvaluator) Sentence #738 from 00102260 from sent1

Text  : Henry Chesbrough , autor popularnej książki o otwartej innowacyjności ,_ pisze w_ BusinessWeek ,_ że Microsoft powinien cieszyć się z_ piractwa w_ Chinach i_ Indiach ._
Tokens: 1____ 2_________ 3 4____ 5_________ 6______ 7 8_______ 9_____________ 10 11___ 12 13__________ 14 15 16_______ 17______ 18_____ 19_ 20 21______ 22 23_____ 24 25_____ 26

Chunks:
  TruePositive nam [1,2] = Henry Chesbrough (confidence=1.00)
  TruePositive nam [13,13] = BusinessWeek (confidence=0.99)
  TruePositive nam [16,16] = Microsoft (confidence=0.98)
  TruePositive nam [23,23] = Chinach (confidence=1.00)
  TruePositive nam [25,25] = Indiach (confidence=1.00)

(ChunkerEvaluator) Sentence #739 from 00102260 from sent2

Text  : Nie jest to oczywiście pierwsza opinia tego typu , jednak co innego wyrazić takie zdanie w_ artykule naukowym ,_ a_ co innego w_ popularnym piśmie ekonomicznym ._
Tokens: 1__ 2___ 3_ 4_________ 5_______ 6_____ 7___ 8___ 9 10____ 11 12____ 13_____ 14___ 15____ 16 17______ 18______ 19 20 21 22____ 23 24________ 25____ 26__________ 27

Chunks:

(ChunkerEvaluator) Sentence #740 from 00102260 from sent3

Text  : Zbyt surowa polityka Microsoftu wobec piratów może na dodatek doprowadzić do zwiększenia udziału Linuksa (_ a_ jak wiemy ,_ wszystko co bezpłatne ma jakieś wady )_ ._
Tokens: 1___ 2_____ 3_______ 4_________ 5____ 6______ 7___ 8_ 9______ 10_________ 11 12_________ 13_____ 14_____ 15 16 17_ 18___ 19 20______ 21 22_______ 23 24____ 25__ 26 27

Chunks:
  TruePositive nam [4,4] = Microsoftu (confidence=1.00)
  TruePositive nam [14,14] = Linuksa (confidence=0.97)

(ChunkerEvaluator) Sentence #741 from 00102260 from sent4

Text  : Być może jest to zamierzone działanie w celu schładzania gospodarki -_ w_ końcu to oprogramowanie spod znaku pingwina ._
Tokens: 1__ 2___ 3___ 4_ 5_________ 6________ 7 8___ 9__________ 10________ 11 12 13___ 14 15____________ 16__ 17___ 18______ 19

Chunks:

(ChunkerEvaluator) Sentence #742 from 00102260 from sent5

Text  : Oczywiście dla zdobycia udziału w rynku ( piracki Windows jest bardziej darmowy niż Linux -_ system szkolnictwa produkuje ludzi ,_ którzy umieją obsługiwać tylko taki system ,_ który znają )_ ,_ tworzenia efektów sieciowych (_ jeśli wszyscy koledzy mają Windowsa ,_ to mają do niego oprogramowanie i_ mają wiedzę -_ z_ obu można skorzystać )_ i_ wprowadzenia ludzi na ścieżkę zależności (_ w_ miarę wzrostu ilości danych zależnych od oprogramowania -_ np ._ dokumentów MS Office -_ zmiana systemu będzie coraz trudniejsza ,_ będziemy też musieli w_ końcu kupować nowsze wersje )_ przyzwolenie na piractwo jest właściwą strategią ._
Tokens: 1_________ 2__ 3_______ 4______ 5 6____ 7 8______ 9______ 10__ 11______ 12_____ 13_ 14___ 15 16____ 17_________ 18_______ 19___ 20 21____ 22____ 23________ 24___ 25__ 26____ 27 28___ 29___ 30 31 32_______ 33_____ 34________ 35 36___ 37_____ 38_____ 39__ 40______ 41 42 43__ 44 45___ 46____________ 47 48__ 49____ 50 51 52_ 53___ 54________ 55 56 57__________ 58___ 59 60_____ 61________ 62 63 64___ 65_____ 66____ 67____ 68_______ 69 70____________ 71 72 73 74________ 75 76____ 77 78____ 79_____ 80____ 81___ 82_________ 83 84______ 85_ 86_____ 87 88___ 89_____ 90____ 91____ 92 93__________ 94 95______ 96__ 97______ 98_______ 99

Chunks:
  TruePositive nam [9,9] = Windows (confidence=0.95)
  TruePositive nam [14,14] = Linux (confidence=0.98)
  TruePositive nam [40,40] = Windowsa (confidence=0.99)
  TruePositive nam [75,76] = MS Office (confidence=0.99)

(ChunkerEvaluator) Sentence #743 from 00102260 from sent6

Text  : Jednak w przeciwieństwie do przełomu lat 80 i 90 ,_ MS nie może sobie pozwolić na swobodne podejście do piractwa ,_ bo zmieniła się treść i_ forma debaty publicznej ._
Tokens: 1_____ 2 3______________ 4_ 5_______ 6__ 7_ 8 9_ 10 11 12_ 13__ 14___ 15______ 16 17______ 18_______ 19 20______ 21 22 23______ 24_ 25___ 26 27___ 28____ 29________ 30

Chunks:
  TruePositive nam [11,11] = MS (confidence=0.95)

(ChunkerEvaluator) Sentence #744 from 00102260 from sent7

Text  : Dwadzieścia lat temu prawo własności intelektualnej dopiero wkraczało w fazę walki na śmierć i_ życie ,_ więcej było argumentów pragmatycznych i_ czysto ekonomicznych (_ jeszcze w_ 1991 Gates był przeciwny patentom na oprogramowanie )_ ,_ teraz jednak piractwo jest czystym złem ,_ naruszeniem prawa ,_ moralności ,_ przykazań i_ tradycji ._
Tokens: 1__________ 2__ 3___ 4____ 5________ 6_____________ 7______ 8________ 9 10__ 11___ 12 13____ 14 15___ 16 17____ 18__ 19________ 20____________ 21 22____ 23___________ 24 25_____ 26 27__ 28___ 29_ 30_______ 31______ 32 33____________ 34 35 36___ 37____ 38______ 39__ 40_____ 41__ 42 43_________ 44___ 45 46________ 47 48_______ 49 50______ 51

Chunks:
  TruePositive nam [28,28] = Gates (confidence=1.00)

(ChunkerEvaluator) Sentence #745 from 00102260 from sent8

Text  : Nic dziwnego , że posyła się detektywów .
Tokens: 1__ 2_______ 3 4_ 5_____ 6__ 7_________ 8

Chunks:

(ChunkerEvaluator) Sentence #746 from 00102260 from sent9

Text  : MS zdobył Europę i USA także dzięki takiemu podejściu ,_ nie może już więc odpuścić Azjatom i_ Brazylijczykom ._
Tokens: 1_ 2_____ 3_____ 4 5__ 6____ 7_____ 8______ 9________ 10 11_ 12__ 13_ 14__ 15______ 16_____ 17 18____________ 19

Chunks:
  TruePositive nam [1,1] = MS (confidence=0.93)
  TruePositive nam [3,3] = Europę (confidence=0.99)
  TruePositive nam [5,5] = USA (confidence=1.00)
  TruePositive nam [16,16] = Azjatom (confidence=0.96)
  TruePositive nam [18,18] = Brazylijczykom (confidence=0.99)

(ChunkerEvaluator) Sentence #747 from 00102260 from sent10

Text  : Tymczasem jednak warto spojrzeć na wykres B , na drugiej stronie artykułu w_ BW i_ znaleźć na nim Europę i_ USA ._
Tokens: 1________ 2_____ 3____ 4_______ 5_ 6_____ 7 8 9_ 10_____ 11_____ 12______ 13 14 15 16_____ 17 18_ 19____ 20 21_ 22

Chunks:
  TruePositive nam [14,14] = BW (confidence=1.00)
  TruePositive nam [19,19] = Europę (confidence=0.99)
  TruePositive nam [21,21] = USA (confidence=1.00)

(ChunkerEvaluator) Sentence #748 from 00102260 from sent11

Text  : Czyżby Henry Chesbrough sugerował tym artykułem coś więcej ?
Tokens: 1_____ 2____ 3_________ 4________ 5__ 6________ 7__ 8_____ 9

Chunks:
  TruePositive nam [2,3] = Henry Chesbrough (confidence=1.00)

2017-06-14 20:27:43,454 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 45 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102262.xml
(ChunkerEvaluator) Sentence #749 from 00102262 from sent1

Text  : Na szczęście chodzi o widmo elektromagnetyczne .
Tokens: 1_ 2________ 3_____ 4 5____ 6_________________ 7

Chunks:

(ChunkerEvaluator) Sentence #750 from 00102262 from sent2

Text  : Niedawno Komisja Europejska ogłosiła , że zamierza doprowadzić do uchylenia starej dyrektywy o_ GSM ,_ która sprawiła ,_ że sieci komórkowe w_ Europie rozwinęły się szybko i_ sprawnie ,_ podczas gdy w_ USA trzeba było czekać na iPhone ._
Tokens: 1_______ 2______ 3_________ 4_______ 5 6_ 7_______ 8__________ 9_ 10_______ 11____ 12_______ 13 14_ 15 16___ 17______ 18 19 20___ 21_______ 22 23_____ 24_______ 25_ 26____ 27 28______ 29 30_____ 31_ 32 33_ 34____ 35__ 36____ 37 38____ 39

Chunks:
  TruePositive nam [2,3] = Komisja Europejska (confidence=1.00)
  TruePositive nam [14,14] = GSM (confidence=0.94)
  TruePositive nam [23,23] = Europie (confidence=1.00)
  TruePositive nam [33,33] = USA (confidence=1.00)
  FalseNegative nam [38,38] = iPhone

(ChunkerEvaluator) Sentence #751 from 00102262 from sent3

Text  : Jednocześnie w USA do przetargu o częstotliwości staje Google ,_ ogłaszając ,_ że walczy nie tylko o_ miliardy ,_ ale również o_ ideały ,_ jak to Google ._
Tokens: 1___________ 2 3__ 4_ 5________ 6 7_____________ 8____ 9_____ 10 11________ 12 13 14____ 15_ 16___ 17 18______ 19 20_ 21_____ 22 23____ 24 25_ 26 27____ 28

Chunks:
  TruePositive nam [3,3] = USA (confidence=1.00)
  TruePositive nam [9,9] = Google (confidence=0.85)
  TruePositive nam [27,27] = Google (confidence=0.99)

(ChunkerEvaluator) Sentence #752 from 00102262 from sent4

Text  : Posunięcie Komisji Europejskiej - reklamowane jako zwiększające konkurencję i dostęp do usług -_ wynika z_ potrzeb istniejących operatorów GSM ._
Tokens: 1_________ 2______ 3___________ 4 5__________ 6___ 7___________ 8__________ 9 10____ 11 12___ 13 14____ 15 16_____ 17__________ 18________ 19_ 20

Chunks:
  TruePositive nam [2,3] = Komisji Europejskiej (confidence=1.00)
  TruePositive nam [19,19] = GSM (confidence=0.89)

(ChunkerEvaluator) Sentence #753 from 00102262 from sent5

Text  : KE podkreśla , że usługi GSM podlegały by dalszej ochronie ,_ ale obok nich można było by wprowadzić usługi 3G ._
Tokens: 1_ 2________ 3 4_ 5_____ 6__ 7________ 8_ 9______ 10______ 11 12_ 13__ 14__ 15___ 16__ 17 18________ 19____ 20 21

Chunks:
  TruePositive nam [6,6] = GSM (confidence=1.00)
  FalseNegative nam [1,1] = KE
  FalseNegative nam [20,20] = 3G

(ChunkerEvaluator) Sentence #754 from 00102262 from sent6

Text  : Kilka lat temu koncesje na sieci 3G kosztowały w niektórych krajach miliardy euro (_ rekordy padły w_ Niemczech i_ Wielkiej Brytanii )_ ,_ ale budowa infrastruktury przerosła potem nawet największe firmy ._
Tokens: 1____ 2__ 3___ 4_______ 5_ 6____ 7_ 8_________ 9 10________ 11_____ 12______ 13__ 14 15_____ 16___ 17 18_______ 19 20______ 21______ 22 23 24_ 25____ 26____________ 27_______ 28___ 29___ 30________ 31___ 32

Chunks:
  TruePositive nam [18,18] = Niemczech (confidence=1.00)
  TruePositive nam [20,21] = Wielkiej Brytanii (confidence=0.97)
  FalseNegative nam [7,7] = 3G
  FalseNegative nam [13,13] = euro

(ChunkerEvaluator) Sentence #755 from 00102262 from sent7

Text  : Znalazło się więc wyjście - nowe technologie zadziałają na starych częstotliwościach ._
Tokens: 1_______ 2__ 3___ 4______ 5 6___ 7__________ 8_________ 9_ 10_____ 11_______________ 12

Chunks:

(ChunkerEvaluator) Sentence #756 from 00102262 from sent8

Text  : W USA stare częstotliwości idą pod młotek w związku z_ rozwojem telewizji cyfrowej ._
Tokens: 1 2__ 3____ 4_____________ 5__ 6__ 7_____ 8 9______ 10 11______ 12_______ 13______ 14

Chunks:
  TruePositive nam [2,2] = USA (confidence=1.00)

(ChunkerEvaluator) Sentence #757 from 00102262 from sent9

Text  : Nowy właściciel będzie świadczył usługi szerokopasmowego dostępu do internetu ,_ czyli cel jest taki sam jak w_ Europie ._
Tokens: 1___ 2_________ 3_____ 4________ 5_____ 6_______________ 7______ 8_ 9________ 10 11___ 12_ 13__ 14__ 15_ 16_ 17 18_____ 19

Chunks:
  TruePositive nam [9,9] = internetu (confidence=0.98)
  TruePositive nam [18,18] = Europie (confidence=1.00)

(ChunkerEvaluator) Sentence #758 from 00102262 from sent10

Text  : Google chce - po ewentualnym zwycięstwie - otworzyć dostęp do sieci ,_ czyli umożliwić dowolnym firmom świadczenie dowolnych usług przy pomocy dowolnych urządzeń ._
Tokens: 1_____ 2___ 3 4_ 5__________ 6__________ 7 8_______ 9_____ 10 11___ 12 13___ 14_______ 15______ 16____ 17_________ 18_______ 19___ 20__ 21____ 22_______ 23______ 24

Chunks:
  FalseNegative nam [1,1] = Google

(ChunkerEvaluator) Sentence #759 from 00102262 from sent11

Text  : W sieciach stacjonarnych takie rozwiązania wymusza państwo - stąd np ._ w_ Polsce kilka firm (_ Dialog ,_ Netia ,_ Tele2 )_ oferuje usługi dostępu do internetu na łączach TP SA (_ za które oczywiście TP SA płacą ,_ ale nie cenę monopolistyczną )_ ._
Tokens: 1 2_______ 3____________ 4____ 5__________ 6______ 7______ 8 9___ 10 11 12 13____ 14___ 15__ 16 17____ 18 19___ 20 21___ 22 23_____ 24____ 25_____ 26 27_______ 28 29_____ 30 31 32 33 34___ 35________ 36 37 38___ 39 40_ 41_ 42__ 43_____________ 44 45

Chunks:
  TruePositive nam [13,13] = Polsce (confidence=1.00)
  TruePositive nam [17,17] = Dialog (confidence=0.97)
  TruePositive nam [19,19] = Netia (confidence=1.00)
  TruePositive nam [21,21] = Tele2 (confidence=1.00)
  TruePositive nam [27,27] = internetu (confidence=0.95)
  TruePositive nam [30,31] = TP SA (confidence=1.00)
  TruePositive nam [36,37] = TP SA (confidence=1.00)

(ChunkerEvaluator) Sentence #760 from 00102262 from sent12

Text  : Rozwiązanie Google nie podoba się więc amerykańskim operatorom tak samo ,_ jak TP SA działania UKE ._
Tokens: 1__________ 2_____ 3__ 4_____ 5__ 6___ 7___________ 8_________ 9__ 10__ 11 12_ 13 14 15_______ 16_ 17

Chunks:
  TruePositive nam [2,2] = Google (confidence=0.98)
  TruePositive nam [13,14] = TP SA (confidence=1.00)
  TruePositive nam [16,16] = UKE (confidence=0.83)

(ChunkerEvaluator) Sentence #761 from 00102262 from sent13

Text  : Niezależnie jednak od tego , czy intencje Google są czyste ,_ a_ KE szczerze dba o_ dobro użytkownika ,_ czas żeby widmo zaczęło wreszcie krążyć i_ żeby zaczęła się dyskusja o_ otwarciu częstotliwości ._
Tokens: 1__________ 2_____ 3_ 4___ 5 6__ 7_______ 8_____ 9_ 10____ 11 12 13 14______ 15_ 16 17___ 18_________ 19 20__ 21__ 22___ 23_____ 24______ 25____ 26 27__ 28_____ 29_ 30______ 31 32______ 33____________ 34

Chunks:
  TruePositive nam [8,8] = Google (confidence=0.96)
  TruePositive nam [13,13] = KE (confidence=1.00)

(ChunkerEvaluator) Sentence #762 from 00102262 from sent14

Text  : Technologia sobie poradzi , wystarczy w dowolnym bloku albo centrum miasta wyszukać sieci bezprzewodowe ,_ żeby okazało się ,_ że jest ich mnóstwo ,_ nadają na tej samej częstotliwości ,_ a_ i_ tak wszystko jakoś działa ._
Tokens: 1__________ 2____ 3______ 4 5________ 6 7_______ 8____ 9___ 10_____ 11____ 12______ 13___ 14___________ 15 16__ 17_____ 18_ 19 20 21__ 22_ 23_____ 24 25____ 26 27_ 28___ 29____________ 30 31 32 33_ 34______ 35___ 36____ 37

Chunks:

(ChunkerEvaluator) Sentence #763 from 00102262 from sent15

Text  : O otwarciu dostępu od dawna piszą m . in ._ Benkler ,_ Lessig i_ Reed ._
Tokens: 1 2_______ 3______ 4_ 5____ 6____ 7 8 9_ 10 11_____ 12 13____ 14 15__ 16

Chunks:
  TruePositive nam [11,11] = Benkler (confidence=1.00)
  TruePositive nam [13,13] = Lessig (confidence=1.00)
  TruePositive nam [15,15] = Reed (confidence=1.00)

(ChunkerEvaluator) Sentence #764 from 00102262 from sent16

Text  : Gdyby Komisja Europejska chciała rzeczywiście zająć radykalne stanowisko i przyspieszyć lizbońską pogoń za gospodarką opartą na wiedzy ,_ powinna pójść w_ wytyczonym przez nich kierunku ._
Tokens: 1____ 2______ 3_________ 4______ 5___________ 6____ 7________ 8_________ 9 10__________ 11_______ 12___ 13 14________ 15____ 16 17____ 18 19_____ 20___ 21 22________ 23___ 24__ 25______ 26

Chunks:
  TruePositive nam [2,3] = Komisja Europejska (confidence=0.91)

(ChunkerEvaluator) Sentence #765 from 00102262 from sent17

Text  : A tak być może konsumenci skorzystają z nowych usług ,_ ale pozycja istniejących firm telekomunikacyjnych ulegnie dalszemu wzmocnieniu ._
Tokens: 1 2__ 3__ 4___ 5_________ 6__________ 7 8_____ 9____ 10 11_ 12_____ 13__________ 14__ 15_________________ 16_____ 17______ 18_________ 19

Chunks:

2017-06-14 20:27:43,564 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 46 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102270.xml
(ChunkerEvaluator) Sentence #766 from 00102270 from sent1

Text  : Stoiska rybne zajmują w hiszpańskich sklepach i halach targowych powierzchnię większą nawet niż wszechobecne przed świętami szynki (_ tych zresztą zawsze pełno )_ i_ turrony ._
Tokens: 1______ 2____ 3______ 4 5___________ 6_______ 7 8_____ 9________ 10__________ 11_____ 12___ 13_ 14__________ 15___ 16______ 17____ 18 19__ 20_____ 21____ 22___ 23 24 25_____ 26

Chunks:

(ChunkerEvaluator) Sentence #767 from 00102270 from sent2

Text  : Bez Wikipedii ciężko było by się zorientować , co też takiego właśnie wrzucili śmy na patelnię ._
Tokens: 1__ 2________ 3_____ 4___ 5_ 6__ 7__________ 8 9_ 10_ 11_____ 12_____ 13______ 14_ 15 16______ 17

Chunks:
  TruePositive nam [2,2] = Wikipedii (confidence=0.99)

(ChunkerEvaluator) Sentence #768 from 00102270 from sent3

Text  : Kolejny subiektywny przegląd .
Tokens: 1______ 2__________ 3_______ 4

Chunks:

(ChunkerEvaluator) Sentence #769 from 00102270 from sent4

Text  : Morszczuk .
Tokens: 1________ 2

Chunks:

(ChunkerEvaluator) Sentence #770 from 00102270 from sent5

Text  : Tak właśnie , poczciwy morszczuk , składnik kostki rybnej z_ mintaja ,_ król mrożonek ._
Tokens: 1__ 2______ 3 4_______ 5________ 6 7_______ 8_____ 9_____ 10 11_____ 12 13__ 14______ 15

Chunks:

(ChunkerEvaluator) Sentence #771 from 00102270 from sent6

Text  : Gdyby m zawczasu wiedział , że zamawiam w restauracji morszczuka ,_ to by m_ go na pewno nie zamówił ._
Tokens: 1____ 2 3_______ 4_______ 5 6_ 7_______ 8 9__________ 10________ 11 12 13 14 15 16 17___ 18_ 19_____ 20

Chunks:

(ChunkerEvaluator) Sentence #772 from 00102270 from sent7

Text  : Tymczasem morszczuk po baskijsku - kawał fantastycznej duszonej ryby ,_ w_ potrawce z_ owoców morza ,_ szparagów i_ z_ gotowanym jajkiem ._
Tokens: 1________ 2________ 3_ 4________ 5 6____ 7____________ 8_______ 9___ 10 11 12______ 13 14____ 15___ 16 17_______ 18 19 20_______ 21_____ 22

Chunks:

(ChunkerEvaluator) Sentence #773 from 00102270 from sent8

Text  : Kawał , bo morszczuk w Hiszpanii to wielka ryba ,_ nie wiem dokładnie ,_ skąd się biorą liliputy w_ polskich sklepach ,_ może się kurczą przy mrożeniu ?_
Tokens: 1____ 2 3_ 4________ 5 6________ 7_ 8_____ 9___ 10 11_ 12__ 13_______ 14 15__ 16_ 17___ 18______ 19 20______ 21______ 22 23__ 24_ 25____ 26__ 27______ 28

Chunks:
  TruePositive nam [6,6] = Hiszpanii (confidence=1.00)

(ChunkerEvaluator) Sentence #774 from 00102270 from sent9

Text  : Miecznik , o którym już było .
Tokens: 1_______ 2 3 4_____ 5__ 6___ 7

Chunks:

(ChunkerEvaluator) Sentence #775 from 00102270 from sent10

Text  : Nie tylko w czarnym ryżu smakuje doskonale .
Tokens: 1__ 2____ 3 4______ 5___ 6______ 7________ 8

Chunks:

(ChunkerEvaluator) Sentence #776 from 00102270 from sent11

Text  : Świeża ryba .
Tokens: 1_____ 2___ 3

Chunks:

(ChunkerEvaluator) Sentence #777 from 00102270 from sent12

Text  : Filety z sardynek , całe makrele ( sprawiane w sklepie na poczekaniu )_ ,_ labraksy ,_ rekiny ._ ._ ._
Tokens: 1_____ 2 3_______ 4 5___ 6______ 7 8________ 9 10_____ 11 12________ 13 14 15______ 16 17____ 18 19 20

Chunks:

(ChunkerEvaluator) Sentence #778 from 00102270 from sent13

Text  : Wszystko prosto z morza ( lub oceanu , Hiszpania szczęśliwie ma dostęp do Morza Śródziemnego i_ Atlantyku )_ ,_ z_ etykietką oznaczającą kraj pochodzenia (_ i_ czasem także port połowu )_ ._
Tokens: 1_______ 2_____ 3 4____ 5 6__ 7_____ 8 9________ 10_________ 11 12____ 13 14___ 15__________ 16 17_______ 18 19 20 21_______ 22_________ 23__ 24_________ 25 26 27____ 28___ 29__ 30____ 31 32

Chunks:
  TruePositive nam [9,9] = Hiszpania (confidence=1.00)
  TruePositive nam [14,15] = Morza Śródziemnego (confidence=1.00)
  TruePositive nam [17,17] = Atlantyku (confidence=0.97)

(ChunkerEvaluator) Sentence #779 from 00102270 from sent14

Text  : Jeśli coś jest rozmrożone ( niektóre owoce morza ) ,_ to jest to też opisane ._
Tokens: 1____ 2__ 3___ 4_________ 5 6_______ 7____ 8____ 9 10 11 12__ 13 14_ 15_____ 16

Chunks:

(ChunkerEvaluator) Sentence #780 from 00102270 from sent15

Text  : Mojama , czyli solony , a następnie suszony tuńczyk ,_ jamón serrano wśród ryb ,_ może przez to ,_ że trzeba też kroić w_ przezroczyste niemal plasterki ._
Tokens: 1_____ 2 3____ 4_____ 5 6 7________ 8______ 9______ 10 11___ 12_____ 13___ 14_ 15 16__ 17___ 18 19 20 21____ 22_ 23___ 24 25___________ 26____ 27_______ 28

Chunks:

(ChunkerEvaluator) Sentence #781 from 00102270 from sent16

Text  : Po co tyle tuńczyków pakuje się do puszek ?
Tokens: 1_ 2_ 3___ 4________ 5_____ 6__ 7_ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #782 from 00102270 from sent17

Text  : Zupa rybna , a właściwie zupa z owoców morza ._
Tokens: 1___ 2____ 3 4 5________ 6___ 7 8_____ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #783 from 00102270 from sent18

Text  : Niby nic prostszego - na oko woda , szafran ,_ czosnek ,_ pomidory i_ owoce morza ._
Tokens: 1___ 2__ 3_________ 4 5_ 6__ 7___ 8 9______ 10 11_____ 12 13______ 14 15___ 16___ 17

Chunks:

(ChunkerEvaluator) Sentence #784 from 00102270 from sent19

Text  : Ale jak to zrobić - kalmary i ośmiornice idealnie miękkie ,_ mule otwarte ._ ._ ._
Tokens: 1__ 2__ 3_ 4_____ 5 6______ 7 8_________ 9_______ 10_____ 11 12__ 13_____ 14 15 16

Chunks:

2017-06-14 20:27:43,640 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 47 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102274.xml
(ChunkerEvaluator) Sentence #785 from 00102274 from sent1

Text  : Do czego może służyć forum ekonomiczne ?
Tokens: 1_ 2____ 3___ 4_____ 5____ 6__________ 7

Chunks:

(ChunkerEvaluator) Sentence #786 from 00102274 from sent2

Text  : Na pewno można załapać się tam na darmowy obiad ._
Tokens: 1_ 2____ 3____ 4______ 5__ 6__ 7_ 8______ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #787 from 00102274 from sent3

Text  : Dzięki temu można wymyślić darmowy internet .
Tokens: 1_____ 2___ 3____ 4_______ 5______ 6_______ 7

Chunks:
  TruePositive nam [6,6] = internet (confidence=0.96)

(ChunkerEvaluator) Sentence #788 from 00102274 from sent4

Text  : W ostatnich tygodniach pisano szerzej o trzech pomysłach , jednym z_ USA ,_ drugim z_ Warszawy i_ trzecim właśnie z_ forum ekonomicznego ._
Tokens: 1 2________ 3_________ 4_____ 5______ 6 7_____ 8________ 9 10____ 11 12_ 13 14____ 15 16______ 17 18_____ 19_____ 20 21___ 22___________ 23

Chunks:
  TruePositive nam [12,12] = USA (confidence=1.00)
  TruePositive nam [16,16] = Warszawy (confidence=1.00)

(ChunkerEvaluator) Sentence #789 from 00102274 from sent5

Text  : Randy , brat człowieka o imieniu Earl , nazwał notebooka "_ porn machine "_ ,_ co chyba musi trafnie oddawać amerykańskie podejście do sieci ,_ skoro niemal cała debata na temat wymuszenia darmowego pasma w_ częstotliwościach udostępnianych przez FCC sprowadza się do blokowania określonych treści (_ w_ celu ochrony "_ dzieci i_ rodzin "_ )_ ._
Tokens: 1____ 2 3___ 4________ 5 6______ 7___ 8 9_____ 10_______ 11 12__ 13_____ 14 15 16 17___ 18__ 19_____ 20_____ 21__________ 22_______ 23 24___ 25 26___ 27____ 28__ 29____ 30 31___ 32________ 33_______ 34___ 35 36_______________ 37____________ 38___ 39_ 40_______ 41_ 42 43________ 44_________ 45____ 46 47 48__ 49_____ 50 51____ 52 53____ 54 55 56

Chunks:
  TruePositive nam [1,1] = Randy (confidence=0.77)
  TruePositive nam [7,7] = Earl (confidence=1.00)
  TruePositive nam [39,39] = FCC (confidence=1.00)
  FalsePositive nam [51,53] = dzieci i rodzin (confidence=0.72) (incorrect boundry)

(ChunkerEvaluator) Sentence #790 from 00102274 from sent6

Text  : Pomysł na darmową sieć jest prosty - zauważono , że w_ rejonach wiejskich jest kiepsko z_ dostępem ,_ więc w_ częstotliwościach przeznaczonych na jednokierunkowe usługi (_ telewizję itp ._ )_ wykrojono wąski kawałek (_ 768kb )_ na ruch dwustronny ._
Tokens: 1_____ 2_ 3______ 4___ 5___ 6_____ 7 8________ 9 10 11 12______ 13_______ 14__ 15_____ 16 17______ 18 19__ 20 21_______________ 22____________ 23 24_____________ 25____ 26 27_______ 28_ 29 30 31_______ 32___ 33_____ 34 35___ 36 37 38__ 39________ 40

Chunks:

(ChunkerEvaluator) Sentence #791 from 00102274 from sent7

Text  : Nabywca koncesji zobowiązuje się w ciągu 10 lat objąć zasięgiem usługi 95 %_ powierzchni USA ,_ dzięki czemu nie tylko dotrze wszędzie z_ darmową ,_ prawomyślną siecią ,_ ale dotrze wszędzie z_ jednokierunkową usługą ,_ jakkolwiek nieprawomyślna by ona nie była ._
Tokens: 1______ 2_______ 3__________ 4__ 5 6____ 7_ 8__ 9____ 10_______ 11____ 12 13 14_________ 15_ 16 17____ 18___ 19_ 20___ 21____ 22______ 23 24_____ 25 26_________ 27____ 28 29_ 30____ 31______ 32 33_____________ 34____ 35 36________ 37____________ 38 39_ 40_ 41__ 42

Chunks:
  TruePositive nam [15,15] = USA (confidence=1.00)

(ChunkerEvaluator) Sentence #792 from 00102274 from sent8

Text  : Pomysł FCC ma jednak niewielkie szanse nie ze względu na naruszenie wolności słowa ,_ ale na siłę potencjalnych nabywców koncesji -_ w_ końcu miejskie inicjatywy w_ większości przepadły (_ o_ czym już wkrótce będzie można szczegółowo poczytać po polsku w_ książce Benklera )_ ._
Tokens: 1_____ 2__ 3_ 4_____ 5_________ 6_____ 7__ 8_ 9______ 10 11________ 12______ 13___ 14 15_ 16 17__ 18___________ 19______ 20______ 21 22 23___ 24______ 25________ 26 27________ 28_______ 29 30 31__ 32_ 33_____ 34____ 35___ 36_________ 37______ 38 39____ 40 41_____ 42______ 43 44

Chunks:
  TruePositive nam [2,2] = FCC (confidence=0.93)
  TruePositive nam [42,42] = Benklera (confidence=1.00)

(ChunkerEvaluator) Sentence #793 from 00102274 from sent9

Text  : W Polsce miejskie pomysły rzadko wzbudzają kontrowersje , bo rzadko mają też zasięg ,_ który zagrażał by czyimkolwiek interesom ._
Tokens: 1 2_____ 3_______ 4______ 5_____ 6________ 7___________ 8 9_ 10____ 11__ 12_ 13____ 14 15___ 16______ 17 18__________ 19_______ 20

Chunks:
  TruePositive nam [2,2] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #794 from 00102274 from sent10

Text  : Na przykład za 40 milionów ma powstać darmowa sieć WiFi na Żoliborzu ._
Tokens: 1_ 2_______ 3_ 4_ 5_______ 6_ 7______ 8______ 9___ 10__ 11 12_______ 13

Chunks:
  TruePositive nam [10,10] = WiFi (confidence=0.98)
  TruePositive nam [12,12] = Żoliborzu (confidence=1.00)

(ChunkerEvaluator) Sentence #795 from 00102274 from sent11

Text  : Władze Żoliborza mogą wprawdzie dowolnie wspomagać swoich mieszkańców , w_ końcu czekając na swoją kolejkę w_ banku też warto sprawdzić pocztę albo profil na profeo ,_ ale czy powolna sieć WiFi ,_ na dodatek z_ ograniczeniami rzeczywiście będzie stanowić "_ przełom cywilizacyjny "_ ?_
Tokens: 1_____ 2________ 3___ 4________ 5_______ 6________ 7_____ 8__________ 9 10 11___ 12______ 13 14___ 15_____ 16 17___ 18_ 19___ 20_______ 21____ 22__ 23____ 24 25____ 26 27_ 28_ 29_____ 30__ 31__ 32 33 34_____ 35 36____________ 37__________ 38____ 39______ 40 41_____ 42___________ 43 44

Chunks:
  TruePositive nam [2,2] = Żoliborza (confidence=0.99)
  TruePositive nam [31,31] = WiFi (confidence=0.97)
  FalseNegative nam [25,25] = profeo

(ChunkerEvaluator) Sentence #796 from 00102274 from sent12

Text  : Czy Warren Buffet właśnie nie zapowiedział , że zacznie walkę z_ cyfrowym wykluczeniem od położenia światłowodów w_ Monte Carlo ?_
Tokens: 1__ 2_____ 3_____ 4______ 5__ 6___________ 7 8_ 9______ 10___ 11 12______ 13__________ 14 15_______ 16__________ 17 18___ 19___ 20

Chunks:
  TruePositive nam [2,3] = Warren Buffet (confidence=1.00)
  TruePositive nam [18,19] = Monte Carlo (confidence=1.00)

(ChunkerEvaluator) Sentence #797 from 00102274 from sent13

Text  : Z wykluczeniem chcą także walczyć ekonomiści z forum - proponują ustawowo odliczać od podatku najtańszy i_ najgorszy internet ._
Tokens: 1 2___________ 3___ 4____ 5______ 6_________ 7 8____ 9 10_______ 11______ 12______ 13 14_____ 15_______ 16 17_______ 18______ 19

Chunks:
  TruePositive nam [18,18] = internet (confidence=0.99)

(ChunkerEvaluator) Sentence #798 from 00102274 from sent14

Text  : Rzekomo koszt tej operacji zwróci się dzięki temu , że wszyscy masowo zaczną rozliczać się z_ urzędem skarbowym i_ załatwiać inne sprawy przez internet ._
Tokens: 1______ 2____ 3__ 4_______ 5_____ 6__ 7_____ 8___ 9 10 11_____ 12____ 13____ 14_______ 15_ 16 17_____ 18_______ 19 20_______ 21__ 22____ 23___ 24______ 25

Chunks:
  TruePositive nam [24,24] = internet (confidence=0.99)

(ChunkerEvaluator) Sentence #799 from 00102274 from sent15

Text  : Ulgę tymczasem zapewne stracą ci , którzy internetu używają od dawna i_ mają szybkie ,_ nieograniczone łącza ._
Tokens: 1___ 2________ 3______ 4_____ 5_ 6 7_____ 8________ 9______ 10 11___ 12 13__ 14_____ 15 16____________ 17___ 18

Chunks:
  TruePositive nam [8,8] = internetu (confidence=0.98)

(ChunkerEvaluator) Sentence #800 from 00102274 from sent16

Text  : Ci , którzy od dawna załatwiali by sprawy przez internet ,_ gdyby dało by się je przez internet załatwiać ._
Tokens: 1_ 2 3_____ 4_ 5____ 6_________ 7_ 8_____ 9____ 10______ 11 12___ 13__ 14 15_ 16 17___ 18______ 19_______ 20

Chunks:
  TruePositive nam [10,10] = internet (confidence=0.97)
  TruePositive nam [18,18] = internet (confidence=0.84)

(ChunkerEvaluator) Sentence #801 from 00102274 from sent17

Text  : Bo niby kto kupi takie najtańsze łącze ?
Tokens: 1_ 2___ 3__ 4___ 5____ 6________ 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #802 from 00102274 from sent18

Text  : Stawiał by m jednak na Randy'ego .
Tokens: 1______ 2_ 3 4_____ 5_ 6________ 7

Chunks:
  TruePositive nam [6,6] = Randy'ego (confidence=1.00)

2017-06-14 20:27:43,752 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 48 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102314.xml
(ChunkerEvaluator) Sentence #803 from 00102314 from sent1

Text  : Czy jeśli ma się na półce biografię wokalisty napisaną przez jego żonę ,_ to jest się fanem zespołu ?_
Tokens: 1__ 2____ 3_ 4__ 5_ 6____ 7________ 8________ 9_______ 10___ 11__ 12__ 13 14 15__ 16_ 17___ 18_____ 19

Chunks:

(ChunkerEvaluator) Sentence #804 from 00102314 from sent2

Text  : Jeśli tak , to jestem fanem Joy Division i żeby jeszcze to podkreślić kupił em płytę Warszawa ,_ Tribute to Joy Division ._
Tokens: 1____ 2__ 3 4_ 5_____ 6____ 7__ 8_______ 9 10__ 11_____ 12 13________ 14___ 15 16___ 17______ 18 19_____ 20 21_ 22______ 23

Chunks:
  TruePositive nam [7,8] = Joy Division (confidence=1.00)
  FalsePositive nam [17,17] = Warszawa (confidence=1.00) (incorrect boundry)
  FalsePositive nam [19,19] = Tribute (confidence=0.99) (incorrect boundry)
  FalsePositive nam [21,22] = Joy Division (confidence=1.00) (incorrect boundry)
  FalseNegative nam [17,22] = Warszawa , Tribute to Joy Division

(ChunkerEvaluator) Sentence #805 from 00102314 from sent3

Text  : Wprawdzie okazało się potem , że jednak nie aż taki ze mnie fan ,_ bo ani na starożytnych kasetach przegrywanych jeszcze legalnie ,_ ani na płycie ze zbieraniną utworów ,_ wszystkich piosenek z_ Warszawy nie mam ._
Tokens: 1________ 2______ 3__ 4____ 5 6_ 7_____ 8__ 9_ 10__ 11 12__ 13_ 14 15 16_ 17 18__________ 19______ 20___________ 21_____ 22______ 23 24_ 25 26____ 27 28________ 29_____ 30 31________ 32______ 33 34______ 35_ 36_ 37

Chunks:
  TruePositive nam [34,34] = Warszawy (confidence=1.00)

(ChunkerEvaluator) Sentence #806 from 00102314 from sent4

Text  : Nie mam na przykład Passover , który zainspirował zespół Pustki do nagrania Końca Kryzysu ,_ jednego z_ najlepszych kawałków ,_ ani New Dawn Fades ,_ który polisz -_ ingliszem wyśpiewała Jolanta Kossakowska tworząc największą na tej płycie pomyłkę ._
Tokens: 1__ 2__ 3_ 4_______ 5_______ 6 7____ 8___________ 9_____ 10____ 11 12______ 13___ 14_____ 15 16_____ 17 18_________ 19______ 20 21_ 22_ 23__ 24___ 25 26___ 27____ 28 29_______ 30________ 31_____ 32_________ 33_____ 34________ 35 36_ 37____ 38_____ 39

Chunks:
  TruePositive nam [5,5] = Passover (confidence=1.00)
  TruePositive nam [10,10] = Pustki (confidence=0.99)
  TruePositive nam [13,14] = Końca Kryzysu (confidence=0.99)
  TruePositive nam [22,24] = New Dawn Fades (confidence=0.99)
  TruePositive nam [31,32] = Jolanta Kossakowska (confidence=1.00)

(ChunkerEvaluator) Sentence #807 from 00102314 from sent5

Text  : Tymczasem pomysł na kobiecy wokal i jeden instrument w wykonaniu Wundergraft sprawdził się świetnie ,_ Love Will Tear Us Apart jest chyba bardziej smutna niż w_ oryginale ._
Tokens: 1________ 2_____ 3_ 4______ 5____ 6 7____ 8_________ 9 10_______ 11_________ 12_______ 13_ 14______ 15 16__ 17__ 18__ 19 20___ 21__ 22___ 23______ 24____ 25_ 26 27_______ 28

Chunks:
  TruePositive nam [11,11] = Wundergraft (confidence=1.00)
  TruePositive nam [16,20] = Love Will Tear Us Apart (confidence=1.00)

(ChunkerEvaluator) Sentence #808 from 00102314 from sent6

Text  : Gdy pierwszy raz słuchał em Warszawy , nie sprostała ona mojemu wspomnieniu Joy Division i_ w_ zasadzie miała wrócić do pudełeczka ._
Tokens: 1__ 2_______ 3__ 4______ 5_ 6_______ 7 8__ 9________ 10_ 11____ 12_________ 13_ 14______ 15 16 17______ 18___ 19____ 20 21________ 22

Chunks:
  TruePositive nam [6,6] = Warszawy (confidence=1.00)
  TruePositive nam [13,14] = Joy Division (confidence=1.00)

(ChunkerEvaluator) Sentence #809 from 00102314 from sent7

Text  : Joy Division to przecież mistrzowski hałas , a tu jakieś Komety ,_ Masale i_ Wandachowicze nie potrafią ze strun wyszarpać nawet połowy ._
Tokens: 1__ 2_______ 3_ 4_______ 5__________ 6____ 7 8 9_ 10____ 11____ 12 13____ 14 15___________ 16_ 17______ 18 19___ 20_______ 21___ 22____ 23

Chunks:
  TruePositive nam [1,2] = Joy Division (confidence=1.00)
  TruePositive nam [11,11] = Komety (confidence=0.76)
  TruePositive nam [13,13] = Masale (confidence=0.99)
  TruePositive nam [15,15] = Wandachowicze (confidence=0.99)

(ChunkerEvaluator) Sentence #810 from 00102314 from sent8

Text  : Jednak po bezpośrednim porównaniu z oryginałem ( utwór po utworze )_ okazało się ,_ że coś jest w_ tej płycie ,_ hałas zmienił się przez 30 lat ,_ przefiltrował się przez innego samobójcę -_ szarpidruta i_ ta czendż of spid nawet mi się podoba ._
Tokens: 1_____ 2_ 3___________ 4_________ 5 6_________ 7 8____ 9_ 10_____ 11 12_____ 13_ 14 15 16_ 17__ 18 19_ 20____ 21 22___ 23_____ 24_ 25___ 26 27_ 28 29___________ 30_ 31___ 32____ 33_______ 34 35_________ 36 37 38____ 39 40__ 41___ 42 43_ 44____ 45

Chunks:

(ChunkerEvaluator) Sentence #811 from 00102314 from sent9

Text  : Z klimatu Joy Division też zostało sporo ( oprócz Pustek i_ Wundergraftu najwięcej u_ Nut Cane Lizy ,_ Kuby Wandachowicza i_ Ścianki )_ ,_ ale -_ co za odkrycie -_ lata 80 się już skończyły i_ teraz należy dołować się inaczej ._
Tokens: 1 2______ 3__ 4_______ 5__ 6______ 7____ 8 9_____ 10____ 11 12__________ 13_______ 14 15_ 16__ 17__ 18 19__ 20___________ 21 22_____ 23 24 25_ 26 27 28 29______ 30 31__ 32 33_ 34_ 35_______ 36 37___ 38____ 39_____ 40_ 41_____ 42

Chunks:
  TruePositive nam [3,4] = Joy Division (confidence=0.99)
  TruePositive nam [10,10] = Pustek (confidence=0.74)
  TruePositive nam [12,12] = Wundergraftu (confidence=0.96)
  TruePositive nam [15,17] = Nut Cane Lizy (confidence=0.90)
  TruePositive nam [19,20] = Kuby Wandachowicza (confidence=1.00)
  TruePositive nam [22,22] = Ścianki (confidence=0.99)

2017-06-14 20:27:43,823 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 49 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102377.xml
(ChunkerEvaluator) Sentence #812 from 00102377 from sent1

Text  : “ Przetwory ” były festiwalem niezależnego designu , sztuki i_ rzemiosła utrzymanych w_ konwencji “_ Zrób -_ to -_ sam /_ a_ ”_ ,_ oraz przetwarzania odpadków i_ śmieci ._
Tokens: 1 2________ 3 4___ 5_________ 6___________ 7______ 8 9_____ 10 11_______ 12_________ 13 14_______ 15 16__ 17 18 19 20_ 21 22 23 24 25__ 26___________ 27______ 28 29____ 30

Chunks:
  FalsePositive nam [16,16] = Zrób (confidence=0.73) (incorrect boundry)
  FalseNegative nam [2,2] = Przetwory

(ChunkerEvaluator) Sentence #813 from 00102377 from sent2

Text  : W imprezie , którą odwiedziło strasznie dużo osób , uczestniczyło kilkudziesięciu wystawców -_ od profesjonalistów takich jak firma Ho :_ :_ Lo ,_ produkująca świetne torby z_ odzyskannych bannerów reklamowych ,_ przez wziętych młodych designerów ,_ po twórców “_ amatorskich ”_ (_ jak zwykle na K20 -_ piszę to w_ najlepszym tego słowa znaczeniu )_ ._
Tokens: 1 2_______ 3 4____ 5_________ 6________ 7___ 8___ 9 10___________ 11_____________ 12_______ 13 14 15______________ 16____ 17_ 18___ 19 20 21 22 23 24_________ 25_____ 26___ 27 28__________ 29______ 30_________ 31 32___ 33______ 34_____ 35________ 36 37 38_____ 39 40_________ 41 42 43_ 44____ 45 46_ 47 48___ 49 50 51________ 52__ 53___ 54_______ 55 56

Chunks:
  FalsePositive nam [19,19] = Ho (confidence=0.82) (incorrect boundry)
  FalsePositive nam [22,22] = Lo (confidence=0.95) (incorrect boundry)
  FalsePositive nam [46,46] = K20 (confidence=0.99) (incorrect boundry)
  FalseNegative nam [19,22] = Ho : : Lo

(ChunkerEvaluator) Sentence #814 from 00102377 from sent3

Text  : Sam prowadził em stoisko Creative Commons Polska - uczestnicząc w_ przetworach obchodzili śmy urodziny CC ,_ o_ których pisał niedawno Mirek ._
Tokens: 1__ 2________ 3_ 4______ 5_______ 6______ 7_____ 8 9___________ 10 11_________ 12________ 13_ 14______ 15 16 17 18_____ 19___ 20______ 21___ 22

Chunks:
  TruePositive nam [5,7] = Creative Commons Polska (confidence=1.00)
  TruePositive nam [15,15] = CC (confidence=1.00)
  TruePositive nam [21,21] = Mirek (confidence=1.00)
  FalseNegative nam [11,11] = przetworach

(ChunkerEvaluator) Sentence #815 from 00102377 from sent4

Text  : W ramach obchodów rozdawali śmy prezenty - przez dwa wypalali śmy płyty z_ wolną muzyką dostępną na licencjach CC ,_ do której goście sami produkowali okładki ._
Tokens: 1 2_____ 3_______ 4________ 5__ 6_______ 7 8____ 9__ 10______ 11_ 12___ 13 14___ 15____ 16______ 17 18________ 19 20 21 22____ 23____ 24__ 25_________ 26_____ 27

Chunks:
  TruePositive nam [19,19] = CC (confidence=0.99)

(ChunkerEvaluator) Sentence #816 from 00102377 from sent5

Text  : To właśnie oglądanie kreatywności drzemiącej we wszystkich z nas było najlepszym ,_ co mnie podczas “_ Przetworów ”_ spotkało -_ okładki powstawały rewelacyjne ._
Tokens: 1_ 2______ 3________ 4___________ 5_________ 6_ 7_________ 8 9__ 10__ 11________ 12 13 14__ 15_____ 16 17________ 18 19______ 20 21_____ 22________ 23_________ 24

Chunks:
  TruePositive nam [17,17] = Przetworów (confidence=0.78)

(ChunkerEvaluator) Sentence #817 from 00102377 from sent6

Text  : Prawda to niby oczywista , że każdy z nas potrafi tworzyć ,_ ale większość z_ nas zapomina o_ tym prostym fakcie po opuszczeniu przedszkola lub podstawówki ._
Tokens: 1_____ 2_ 3___ 4________ 5 6_ 7____ 8 9__ 10_____ 11_____ 12 13_ 14_______ 15 16_ 17______ 18 19_ 20_____ 21____ 22 23_________ 24_________ 25_ 26_________ 27

Chunks:

(ChunkerEvaluator) Sentence #818 from 00102377 from sent7

Text  : Piszę o tym wszystkim , bo dużo się dzisiaj mówi o_ pobudzaniu oddolnej kreatywności z_ pomocą nowych mediów -_ na tym zresztą skupia się nasz blog ._
Tokens: 1____ 2 3__ 4________ 5 6_ 7___ 8__ 9______ 10__ 11 12________ 13______ 14__________ 15 16____ 17____ 18____ 19 20 21_ 22_____ 23____ 24_ 25__ 26__ 27

Chunks:

(ChunkerEvaluator) Sentence #819 from 00102377 from sent8

Text  : Ale warto też pamiętać , że kreatywność cyfrowa świetnie splata się z_ analogową -_ że twórcę mash -_ upów i_ kolczyków z_ modeliny napędza ten sam twórczy duch ._
Tokens: 1__ 2____ 3__ 4_______ 5 6_ 7__________ 8______ 9_______ 10____ 11_ 12 13_______ 14 15 16____ 17__ 18 19__ 20 21_______ 22 23______ 24_____ 25_ 26_ 27_____ 28__ 29

Chunks:

(ChunkerEvaluator) Sentence #820 from 00102377 from sent9

Text  : “ Przetwory ” się zakończyły , ale wypalana przez nas muzyka jest w_ dużej mierze dostępna w_ sieci ._
Tokens: 1 2________ 3 4__ 5_________ 6 7__ 8_______ 9____ 10_ 11____ 12__ 13 14___ 15____ 16______ 17 18___ 19

Chunks:
  FalseNegative nam [2,2] = Przetwory

(ChunkerEvaluator) Sentence #821 from 00102377 from sent10

Text  : Jeśli chcieli by ście wypalić sobie lub komuś prezent na święta ,_ to stworzyli śmy prosty katalog zawierający większość polskiej muzyki na licencjach CC i_ kilka innych wydawnictw też ._
Tokens: 1____ 2______ 3_ 4___ 5______ 6____ 7__ 8____ 9______ 10 11____ 12 13 14_______ 15_ 16____ 17_____ 18_________ 19_______ 20______ 21____ 22 23________ 24 25 26___ 27____ 28________ 29_ 30

Chunks:
  TruePositive nam [24,24] = CC (confidence=0.98)

2017-06-14 20:27:43,897 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 50 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102393.xml
(ChunkerEvaluator) Sentence #822 from 00102393 from sent1

Text  : Spadek napięcia przy przewodzeniu dla czerwonej diody LED wynosi około 1_ ._ 5V ,_ prąd nie powinien przekroczyć 20mA ._ Sygnał Stand By ,_ stanowiący zasilanie diody ,_ to napięcie 5V ._ Rezystor dobierzemy tak ,_ aby prąd płynący przez diodę był równy mniej więcej połowie prądu maksymalnego ,_ czyli 20mA /_ 2_ =_ 10mA =_ 0_ ._ 01 A_ ._
Tokens: 1_____ 2_______ 3___ 4___________ 5__ 6________ 7____ 8__ 9_____ 10___ 11 12 13 14 15__ 16_ 17______ 18_________ 19__ 20 21____ 22___ 23 24 25________ 26_______ 27___ 28 29 30______ 31 32 33______ 34________ 35_ 36 37_ 38__ 39_____ 40___ 41___ 42_ 43___ 44___ 45____ 46_____ 47___ 48__________ 49 50___ 51__ 52 53 54 55__ 56 57 58 59 60 61

Chunks:
  FalsePositive nam [8,8] = LED (confidence=1.00) (incorrect boundry)
  FalsePositive nam [21,23] = Sygnał Stand By (confidence=0.59) (incorrect boundry)
  FalsePositive nam [31,33] = 5V . Rezystor (confidence=0.78) (incorrect boundry)

(ChunkerEvaluator) Sentence #823 from 00102393 from sent2

Text  : Z prawa Ohma :
Tokens: 1 2____ 3___ 4

Chunks:
  TruePositive nam [3,3] = Ohma (confidence=0.99)

(ChunkerEvaluator) Sentence #824 from 00102393 from sent3

Text  : R = ( Uz – Ud ) / Id
Tokens: 1 2 3 4_ 5 6_ 7 8 9_

Chunks:
  FalsePositive nam [4,6] = Uz – Ud (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #825 from 00102393 from sent4

Text  : czyli
Tokens: 1____

Chunks:

(ChunkerEvaluator) Sentence #826 from 00102393 from sent5

Text  : R 1 = ( 5V – 1 . 5V )_ /_ 0_ ._ 01A =_ 350Ω
Tokens: 1 2 3 4 5_ 6 7 8 9_ 10 11 12 13 14_ 15 16__

Chunks:
  FalsePositive nam [1,2] = R 1 (confidence=0.70) (incorrect boundry)

(ChunkerEvaluator) Sentence #827 from 00102393 from sent6

Text  : Użyjemy dostępnego w handlu rezystora 330Ω .
Tokens: 1______ 2_________ 3 4_____ 5________ 6___ 7

Chunks:

(ChunkerEvaluator) Sentence #828 from 00102393 from sent7

Text  : Spadek napięcia przy przewodzeniu dla zielonej diody LED wynosi około 3V ,_ prąd maksymalny taki sam jak dla czerwonej ._
Tokens: 1_____ 2_______ 3___ 4___________ 5__ 6_______ 7____ 8__ 9_____ 10___ 11 12 13__ 14________ 15__ 16_ 17_ 18_ 19_______ 20

Chunks:
  FalsePositive nam [8,8] = LED (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #829 from 00102393 from sent8

Text  : W tym wypadku opór potrzebnego rezystora wyniesie więc :
Tokens: 1 2__ 3______ 4___ 5__________ 6________ 7_______ 8___ 9

Chunks:

(ChunkerEvaluator) Sentence #830 from 00102393 from sent9

Text  : R 2 = ( 5V – 3V ) / 0_ ._ 01A =_ 200Ω
Tokens: 1 2 3 4 5_ 6 7_ 8 9 10 11 12_ 13 14__

Chunks:
  FalsePositive nam [1,2] = R 2 (confidence=0.79) (incorrect boundry)

(ChunkerEvaluator) Sentence #831 from 00102393 from sent10

Text  : Użyjemy dostępnego w handlu rezystora 220Ω
Tokens: 1______ 2_________ 3 4_____ 5________ 6___

Chunks:

(ChunkerEvaluator) Sentence #832 from 00102393 from sent11

Text  : Potrzebne nam zatem będą :
Tokens: 1________ 2__ 3____ 4___ 5

Chunks:

(ChunkerEvaluator) Sentence #833 from 00102393 from sent12

Text  : diody LED : czerwona i zielona oprawki na diody (_ 2_ szt )_
Tokens: 1____ 2__ 3 4_______ 5 6______ 7______ 8_ 9____ 10 11 12_ 13

Chunks:
  FalsePositive nam [2,2] = LED (confidence=0.95) (incorrect boundry)

(ChunkerEvaluator) Sentence #834 from 00102393 from sent13

Text  : rezystory : 330Ω i 220Ω
Tokens: 1________ 2 3___ 4 5___

Chunks:

(ChunkerEvaluator) Sentence #835 from 00102393 from sent14

Text  : płytka montażowa – najlepiej zakupić jest najmniejszą uniwersalną płytkę montażową ._
Tokens: 1_____ 2________ 3 4________ 5______ 6___ 7__________ 8__________ 9_____ 10_______ 11

Chunks:

(ChunkerEvaluator) Sentence #836 from 00102393 from sent15

Text  : Wszystkie elementy do nabycia w sklepie elektronicznym .
Tokens: 1________ 2_______ 3_ 4______ 5 6______ 7_____________ 8

Chunks:

(ChunkerEvaluator) Sentence #837 from 00102393 from sent16

Text  : Teraz należy dopasować diody i rezystory do układu ścieżek na zakupionej płytce tak ,_ aby zamontować je zgodnie ze schematem ,_ czyli :_
Tokens: 1____ 2_____ 3________ 4____ 5 6________ 7_ 8_____ 9______ 10 11________ 12____ 13_ 14 15_ 16________ 17 18_____ 19 20_______ 21 22___ 23

Chunks:

(ChunkerEvaluator) Sentence #838 from 00102393 from sent17

Text  : Stand By do anody ( + ) diody D1 ,_ katoda (_ -_ )_ diody poprzez rezystor R1 do masy ._
Tokens: 1____ 2_ 3_ 4____ 5 6 7 8____ 9_ 10 11____ 12 13 14 15___ 16_____ 17______ 18 19 20__ 21

Chunks:
  FalsePositive nam [1,4] = Stand By do anody (confidence=0.79) (incorrect boundry)
  FalsePositive nam [9,9] = D1 (confidence=0.71) (incorrect boundry)
  FalsePositive nam [18,18] = R1 (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #839 from 00102393 from sent18

Text  : Power OK do anody diody D2 , katoda diody poprzez rezystor R2 do masy ._
Tokens: 1____ 2_ 3_ 4____ 5____ 6_ 7 8_____ 9____ 10_____ 11______ 12 13 14__ 15

Chunks:
  FalsePositive nam [6,6] = D2 (confidence=0.50) (incorrect boundry)
  FalsePositive nam [12,12] = R2 (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #840 from 00102393 from sent19

Text  : Do płytki musimy zatem doprowadzić przewody : Stand By (_ fioletowy )_ ,_ Power OK (_ szary )_ oraz masę (_ czarny )_ ._
Tokens: 1_ 2_____ 3_____ 4____ 5__________ 6_______ 7 8____ 9_ 10 11_______ 12 13 14___ 15 16 17___ 18 19__ 20__ 21 22____ 23 24

Chunks:
  FalsePositive nam [8,9] = Stand By (confidence=0.81) (incorrect boundry)
  FalsePositive nam [14,15] = Power OK (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #841 from 00102393 from sent20

Text  : Wskazówka : anodę i katodę diody można zazwyczaj rozpoznać po długości :_ anoda (_ +_ )_ to dłuższa z_ końcówek diody ,_ katoda (_ -_ )_ to krótsza ._
Tokens: 1________ 2 3____ 4 5_____ 6____ 7____ 8________ 9________ 10 11______ 12 13___ 14 15 16 17 18_____ 19 20______ 21___ 22 23____ 24 25 26 27 28_____ 29

Chunks:

(ChunkerEvaluator) Sentence #842 from 00102393 from sent21

Text  : Po wykonaniu połączenia testujemy :
Tokens: 1_ 2________ 3_________ 4________ 5

Chunks:

(ChunkerEvaluator) Sentence #843 from 00102393 from sent22

Text  : przy podłączeniu zasilania powinna się świecić doda D 1 (_ czerwona )_ ,_ sygnalizująca stan Stand By
Tokens: 1___ 2__________ 3________ 4______ 5__ 6______ 7___ 8 9 10 11______ 12 13 14___________ 15__ 16___ 17

Chunks:
  FalsePositive nam [16,17] = Stand By (confidence=0.89) (incorrect boundry)

(ChunkerEvaluator) Sentence #844 from 00102393 from sent23

Text  : po włączeniu zasilacza włącznikiem powinna zaświecić się dodatkowo dioda D_ 2_ (_ zielona )_ ,_ sygnalizująca stan Power OK
Tokens: 1_ 2________ 3________ 4__________ 5______ 6________ 7__ 8________ 9____ 10 11 12 13_____ 14 15 16___________ 17__ 18___ 19

Chunks:
  FalsePositive nam [10,10] = D (confidence=0.71) (incorrect boundry)
  FalsePositive nam [18,18] = Power (confidence=0.88) (incorrect boundry)

(ChunkerEvaluator) Sentence #845 from 00102393 from sent24

Text  : Wyprowadzenie napięcia
Tokens: 1____________ 2_______

Chunks:

(ChunkerEvaluator) Sentence #846 from 00102393 from sent25

Text  : Następnym krokiem będzie wyprowadzenie napięcia 12V , 5V i 3_ ._ 3V ._
Tokens: 1________ 2______ 3_____ 4____________ 5_______ 6__ 7 8_ 9 10 11 12 13

Chunks:

(ChunkerEvaluator) Sentence #847 from 00102393 from sent26

Text  : W tym celu potrzebne nam będą trzy pary gniazd bananowych ,_ w_ każdej parze jedno czerwone i_ jedno czarne ._
Tokens: 1 2__ 3___ 4________ 5__ 6___ 7___ 8___ 9_____ 10________ 11 12 13____ 14___ 15___ 16______ 17 18___ 19____ 20

Chunks:

2017-06-14 20:27:43,988 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 51 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102427.xml
(ChunkerEvaluator) Sentence #848 from 00102427 from sent1

Text  : Kultura , najbardziej żywotna i plastyczna , a jednocześnie najbardziej trwała i_ stabilna tkanka ludzkiej aktywności ._
Tokens: 1______ 2 3__________ 4______ 5 6_________ 7 8 9___________ 10_________ 11____ 12 13______ 14____ 15______ 16________ 17

Chunks:

(ChunkerEvaluator) Sentence #849 from 00102427 from sent2

Text  : Decyduje o jednostkowej i zbiorowej tożsamości , jest środowiskiem społecznej komunikacji ._
Tokens: 1_______ 2 3___________ 4 5________ 6_________ 7 8___ 9___________ 10________ 11_________ 12

Chunks:

(ChunkerEvaluator) Sentence #850 from 00102427 from sent3

Text  : Zmieniającemu się w historycznych procesach społeczeństwu dostarcza kodów umożliwiających reinterpretację swojego losu ,_ zrozumienie teraźniejszości i_ projektowanie przyszłości ._
Tokens: 1____________ 2__ 3 4____________ 5________ 6____________ 7________ 8____ 9______________ 10_____________ 11_____ 12__ 13 14_________ 15_____________ 16 17___________ 18_________ 19

Chunks:

(ChunkerEvaluator) Sentence #851 from 00102427 from sent4

Text  : Ale kultura sama jest przedmiotem presji ze strony wielorakich sił ,_ by wspomnieć promowaną przez rynek komercjalizację czy homogenizację będącą jednym ze skutków globalizacji ._
Tokens: 1__ 2______ 3___ 4___ 5__________ 6_____ 7_ 8_____ 9__________ 10_ 11 12 13_______ 14_______ 15___ 16___ 17_____________ 18_ 19___________ 20____ 21____ 22 23_____ 24__________ 25

Chunks:

(ChunkerEvaluator) Sentence #852 from 00102427 from sent5

Text  : Dziś jednak niewątpliwie jednym z najważniejszych czynników zmiany są nowe ,_ cyfrowe technologie porozumiewania się ._
Tokens: 1___ 2_____ 3___________ 4_____ 5 6______________ 7________ 8_____ 9_ 10__ 11 12_____ 13_________ 14____________ 15_ 16

Chunks:

(ChunkerEvaluator) Sentence #853 from 00102427 from sent6

Text  : Wszechobecne komputery , powszechność internetu i oczywistość telefonii komórkowej zmieniają radykalnie kontekst funkcjonowania kultury ._
Tokens: 1___________ 2________ 3 4___________ 5________ 6 7__________ 8________ 9_________ 10_______ 11________ 12______ 13____________ 14_____ 15

Chunks:
  TruePositive nam [5,5] = internetu (confidence=0.99)

(ChunkerEvaluator) Sentence #854 from 00102427 from sent7

Text  : Artyści otrzymują nowe , niezwykłe narzędzia twórczej ekspresji .
Tokens: 1______ 2________ 3___ 4 5________ 6________ 7_______ 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #855 from 00102427 from sent8

Text  : Odbiorcy zyskują nowe możliwości uczestnictwa w kulturze .
Tokens: 1_______ 2______ 3___ 4_________ 5___________ 6 7_______ 8

Chunks:

(ChunkerEvaluator) Sentence #856 from 00102427 from sent9

Text  : Menadżerowie kultury sprostać muszą nowym formom zarządzania i dystrybucji ,_ odpowiedzialni za przemysły kultury odkrywają ,_ że sprawdzone modele biznesowe coraz szybciej tracą ważność ._
Tokens: 1___________ 2______ 3_______ 4____ 5____ 6_____ 7__________ 8 9__________ 10 11____________ 12 13_______ 14_____ 15_______ 16 17 18________ 19____ 20_______ 21___ 22______ 23___ 24_____ 25

Chunks:

(ChunkerEvaluator) Sentence #857 from 00102427 from sent10

Text  : Przed kierującymi polityką kulturalną wyłania się nowy świat , w_ którym tak fundamentalne pojęcia ,_ jak twórczość ,_ dziedzictwo i_ kulturowa suwerenność wymagają ponownej interpretacji ._
Tokens: 1____ 2__________ 3_______ 4_________ 5______ 6__ 7___ 8____ 9 10 11____ 12_ 13___________ 14_____ 15 16_ 17_______ 18 19_________ 20 21_______ 22_________ 23______ 24______ 25___________ 26

Chunks:

(ChunkerEvaluator) Sentence #858 from 00102427 from sent11

Text  : Celem projektu “ Kultura 2 . 0 ″ jest obserwowanie i_ dyskusja zachodzących przemian ,_ analiza ich potencjalnych skutków dla rozwoju kultury w_ ógole i_ kultury w_ Polsce w_ szczególności ._
Tokens: 1____ 2_______ 3 4______ 5 6 7 8 9___ 10__________ 11 12______ 13__________ 14______ 15 16_____ 17_ 18___________ 19_____ 20_ 21_____ 22_____ 23 24___ 25 26_____ 27 28____ 29 30___________ 31

Chunks:
  TruePositive nam [4,7] = Kultura 2 . 0 (confidence=1.00)
  TruePositive nam [28,28] = Polsce (confidence=1.00)

2017-06-14 20:27:44,041 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 52 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102472.xml
(ChunkerEvaluator) Sentence #859 from 00102472 from sent1

Text  : W OzoGalerii można zobaczyć zdjęcia z wygranego meczu MKS Bzura -_ SMS I_ PZPS Spała ,_ który odbył się dwa tygodnie temu w_ Ozorkowie ._
Tokens: 1 2_________ 3____ 4_______ 5______ 6 7________ 8____ 9__ 10___ 11 12_ 13 14__ 15___ 16 17___ 18___ 19_ 20_ 21______ 22__ 23 24_______ 25

Chunks:
  TruePositive nam [2,2] = OzoGalerii (confidence=0.89)
  TruePositive nam [9,10] = MKS Bzura (confidence=1.00)
  TruePositive nam [12,15] = SMS I PZPS Spała (confidence=0.61)
  TruePositive nam [24,24] = Ozorkowie (confidence=1.00)

2017-06-14 20:27:44,048 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 53 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102498.xml
(ChunkerEvaluator) Sentence #860 from 00102498 from sent1

Text  : Panie w wieku 50 - 69 lat ( roczniki od 1939 do 1958 )_ ,_ które nie odbywały tego typu badań w_ ciągu ostatnich 2_ lat lub w_ roku 2007 (_ w_ ramach Programu Profilaktycznego )_ otrzymały wskazania do wykonywania powtórnych badań po upływie 12 miesięcy ._
Tokens: 1____ 2 3____ 4_ 5 6_ 7__ 8 9_______ 10 11__ 12 13__ 14 15 16___ 17_ 18______ 19__ 20__ 21___ 22 23___ 24_______ 25 26_ 27_ 28 29__ 30__ 31 32 33____ 34______ 35______________ 36 37_______ 38_______ 39 40_________ 41________ 42___ 43 44_____ 45 46______ 47

Chunks:
  TruePositive nam [34,35] = Programu Profilaktycznego (confidence=0.99)

(ChunkerEvaluator) Sentence #861 from 00102498 from sent2

Text  : Badania przeprowadzone będą w ambulansie medycznym w dniach : 19 -_ 20 lutego 2008 r_ ._ (_ wtorek -_ środa )_ w_ godzinach :_ 8_ :_ 30 -_ 13 :_ 00 i_ 14 :_ 00 -_ 19 :_ 00 na parkingu przy Urzędzie Miejskim w_ Ozorkowie ._
Tokens: 1______ 2_____________ 3___ 4 5_________ 6________ 7 8_____ 9 10 11 12 13____ 14__ 15 16 17 18____ 19 20___ 21 22 23_______ 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41______ 42__ 43______ 44______ 45 46_______ 47

Chunks:
  TruePositive nam [43,44] = Urzędzie Miejskim (confidence=1.00)
  TruePositive nam [46,46] = Ozorkowie (confidence=0.96)

(ChunkerEvaluator) Sentence #862 from 00102498 from sent3

Text  : Rejestracja telefoniczna ( dane i pesel ) w godzinach 8_ :_ 00 -_ 16 :_ 00 (_ pon ._ -_ pt ._ )_ od 1_ lutego 2008r ._
Tokens: 1__________ 2___________ 3 4___ 5 6____ 7 8 9________ 10 11 12 13 14 15 16 17 18_ 19 20 21 22 23 24 25 26____ 27___ 28

Chunks:

(ChunkerEvaluator) Sentence #863 from 00102498 from sent4

Text  : pod bezpłatnym numerem : 0800 101 201 ( z tel ._ stacjonarnych )_ lub 061 8773602 /_ 04 (_ z_ komórek -_ poł ._ płatne )_ ._
Tokens: 1__ 2_________ 3______ 4 5___ 6__ 7__ 8 9 10_ 11 12___________ 13 14_ 15_ 16_____ 17 18 19 20 21_____ 22 23_ 24 25____ 26 27

Chunks:

(ChunkerEvaluator) Sentence #864 from 00102498 from sent5

Text  : Istnieje możliwość rejestracji w dniu badania , w ambulansie (_ o_ ile będą wolne miejsca na liście )_ ._
Tokens: 1_______ 2________ 3__________ 4 5___ 6______ 7 8 9_________ 10 11 12_ 13__ 14___ 15_____ 16 17____ 18 19

Chunks:

(ChunkerEvaluator) Sentence #865 from 00102498 from sent6

Text  : Na badania proszę zgłaszać się z dowodem osobistym i wynikiem (_ zdjęcia +_ opis )_ ostatniego badania mammograficznego ._
Tokens: 1_ 2______ 3_____ 4_______ 5__ 6 7______ 8________ 9 10______ 11 12_____ 13 14__ 15 16________ 17_____ 18______________ 19

Chunks:

(ChunkerEvaluator) Sentence #866 from 00102498 from sent7

Text  : Dla osób nie spełniających kryteriów badań bezpłatnych : mammografia -_ 70 zł ._
Tokens: 1__ 2___ 3__ 4____________ 5________ 6____ 7__________ 8 9__________ 10 11 12 13

Chunks:
  TruePositive nam [12,12] = zł (confidence=0.99)

(ChunkerEvaluator) Sentence #867 from 00102498 from sent8

Text  : Badania wykonuje : ZZOZ Profilaktyka , Diagnostyka , Leczenie Sp ._ z_ o_ ._ o_ ._ 61 -_ 361 Poznań ul ._ Starołęcka 38 tel ._ :_ 061 8794180 /_ 90
Tokens: 1______ 2_______ 3 4___ 5___________ 6 7__________ 8 9_______ 10 11 12 13 14 15 16 17 18 19_ 20____ 21 22 23________ 24 25_ 26 27 28_ 29_____ 30 31

Chunks:
  TruePositive nam [23,23] = Starołęcka (confidence=0.98)
  FalsePositive nam [4,5] = ZZOZ Profilaktyka (confidence=1.00) (incorrect boundry)
  FalsePositive nam [7,7] = Diagnostyka (confidence=1.00) (incorrect boundry)
  FalsePositive nam [9,20] = Leczenie Sp . z o . o . 61 - 361 Poznań (confidence=1.00) (incorrect boundry)
  FalseNegative nam [4,16] = ZZOZ Profilaktyka , Diagnostyka , Leczenie Sp . z o . o .
  FalseNegative nam [20,20] = Poznań

2017-06-14 20:27:44,105 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 54 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102499.xml
(ChunkerEvaluator) Sentence #868 from 00102499 from sent1

Text  : 1 września rozpocznie się XXIV Międzynarodowy Turniej o Puchar Syrenki -_ młodzieżowa impreza piłkarska ,_ bez precedensu nie tylko w_ naszym ,_ ale także w_ całym europejskim futbolu ._
Tokens: 1 2_______ 3_________ 4__ 5___ 6_____________ 7______ 8 9_____ 10_____ 11 12_________ 13_____ 14_______ 15 16_ 17________ 18_ 19___ 20 21____ 22 23_ 24___ 25 26___ 27_________ 28_____ 29

Chunks:
  FalsePositive nam [5,7] = XXIV Międzynarodowy Turniej (confidence=1.00) (incorrect boundry)
  FalsePositive nam [9,10] = Puchar Syrenki (confidence=0.78) (incorrect boundry)
  FalseNegative nam [5,10] = XXIV Międzynarodowy Turniej o Puchar Syrenki

(ChunkerEvaluator) Sentence #869 from 00102499 from sent2

Text  : W Ozorkowie odbędzie się mecz o 5 i 6 miejsce ._
Tokens: 1 2________ 3_______ 4__ 5___ 6 7 8 9 10_____ 11

Chunks:
  TruePositive nam [2,2] = Ozorkowie (confidence=1.00)

(ChunkerEvaluator) Sentence #870 from 00102499 from sent3

Text  : W tym roku w rozgrywkach turniejowych , obok " biało -_ czerwonych "_ z_ rocznika 1993 (_ trener Władysław Żmuda )_ ,_ udział wezmą drużyny nastolatków z_ Bułgarii ,_ Rumunii ,_ Danii ,_ Ukrainy ,_ Szwecji ,_ Rosji i_ Irlandii ._
Tokens: 1 2__ 3___ 4 5__________ 6___________ 7 8___ 9 10___ 11 12________ 13 14 15______ 16__ 17 18____ 19_______ 20___ 21 22 23____ 24___ 25_____ 26_________ 27 28______ 29 30_____ 31 32___ 33 34_____ 35 36_____ 37 38___ 39 40______ 41

Chunks:
  TruePositive nam [19,20] = Władysław Żmuda (confidence=1.00)
  TruePositive nam [28,28] = Bułgarii (confidence=1.00)
  TruePositive nam [30,30] = Rumunii (confidence=1.00)
  TruePositive nam [32,32] = Danii (confidence=1.00)
  TruePositive nam [34,34] = Ukrainy (confidence=1.00)
  TruePositive nam [36,36] = Szwecji (confidence=1.00)
  TruePositive nam [38,38] = Rosji (confidence=1.00)
  TruePositive nam [40,40] = Irlandii (confidence=1.00)

(ChunkerEvaluator) Sentence #871 from 00102499 from sent4

Text  : - My , jako organizatorzy i gospodarze tej prestiżowej imprezy ,_ ze szczególną uwagą śledzić będziemy występy "_ biało -_ czerwonych "_ Orlików ,_ z_ nadzieją ,_ że dostrzeżemy przynajmniej kilku zawodników godnych reprezentowania Polski już za trzy lata ,_ podczas Euro 2012 ._
Tokens: 1 2_ 3 4___ 5____________ 6 7_________ 8__ 9__________ 10_____ 11 12 13________ 14___ 15_____ 16______ 17_____ 18 19___ 20 21________ 22 23_____ 24 25 26______ 27 28 29_________ 30__________ 31___ 32________ 33_____ 34_____________ 35____ 36_ 37 38__ 39__ 40 41_____ 42__ 43__ 44

Chunks:
  TruePositive nam [35,35] = Polski (confidence=1.00)
  TruePositive nam [42,43] = Euro 2012 (confidence=1.00)
  FalseNegative nam [23,23] = Orlików

2017-06-14 20:27:44,139 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 55 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102608.xml
(ChunkerEvaluator) Sentence #872 from 00102608 from sent1

Text  : WYROK TRYBUNAŁU KONSTYTUCYJNEGO
Tokens: 1____ 2________ 3______________

Chunks:
  TruePositive nam [2,3] = TRYBUNAŁU KONSTYTUCYJNEGO (confidence=0.95)

(ChunkerEvaluator) Sentence #873 from 00102608 from sent2

Text  : z dnia 15 lipca 2009 r .
Tokens: 1 2___ 3_ 4____ 5___ 6 7

Chunks:

(ChunkerEvaluator) Sentence #874 from 00102608 from sent3

Text  : sygn . akt K 64 / 07
Tokens: 1___ 2 3__ 4 5_ 6 7_

Chunks:

(ChunkerEvaluator) Sentence #875 from 00102608 from sent4

Text  : Bohdan Zdziennicki - I sprawozdawca ,
Tokens: 1_____ 2__________ 3 4 5___________ 6

Chunks:
  TruePositive nam [1,2] = Bohdan Zdziennicki (confidence=1.00)

(ChunkerEvaluator) Sentence #876 from 00102608 from sent5

Text  : protokolant : Grażyna Szałygo ,
Tokens: 1__________ 2 3______ 4______ 5

Chunks:
  TruePositive nam [3,4] = Grażyna Szałygo (confidence=1.00)

(ChunkerEvaluator) Sentence #877 from 00102608 from sent6

Text  : po rozpoznaniu , z udziałem wnioskodawcy oraz Sejmu i Prokuratora Generalnego ,_ na rozprawie w_ dniu 15 lipca 2009 r_ ._ ,_ wniosku grupy posłów o_ zbadanie zgodności :_
Tokens: 1_ 2__________ 3 4 5_______ 6___________ 7___ 8____ 9 10_________ 11_________ 12 13 14_______ 15 16__ 17 18___ 19__ 20 21 22 23_____ 24___ 25____ 26 27______ 28_______ 29

Chunks:
  TruePositive nam [8,8] = Sejmu (confidence=1.00)
  TruePositive nam [10,11] = Prokuratora Generalnego (confidence=0.99)

(ChunkerEvaluator) Sentence #878 from 00102608 from sent7

Text  : 1 ) art . 4 ust . 4 1 ustawy z_ dnia 15 grudnia 2000 r_ ._ o_ spółdzielniach mieszkaniowych (_ Dz ._ U_ ._ z_ 2003 r_ ._ Nr 119 ,_ poz ._ 1116 ,_ ze zm ._ )_ z_ art ._ 32 ust ._ 2_ Konstytucji ,_
Tokens: 1 2 3__ 4 5 6__ 7 8 9 10____ 11 12__ 13 14_____ 15__ 16 17 18 19____________ 20____________ 21 22 23 24 25 26 27__ 28 29 30 31_ 32 33_ 34 35__ 36 37 38 39 40 41 42_ 43 44 45_ 46 47 48_________ 49

Chunks:
  TruePositive nam [22,25] = Dz . U . (confidence=1.00)
  FalsePositive nam [8,20] = 4 1 ustawy z dnia 15 grudnia 2000 r . o spółdzielniach mieszkaniowych (confidence=0.74) (incorrect boundry)
  FalseNegative nam [10,20] = ustawy z dnia 15 grudnia 2000 r . o spółdzielniach mieszkaniowych

(ChunkerEvaluator) Sentence #879 from 00102608 from sent8

Text  : 2 ) art . 4 ust . 8 ustawy powołanej w_ punkcie 1_ z_ art ._ 32 ust ._ 2_ oraz art ._ 64 Konstytucji ,_
Tokens: 1 2 3__ 4 5 6__ 7 8 9_____ 10_______ 11 12_____ 13 14 15_ 16 17 18_ 19 20 21__ 22_ 23 24 25_________ 26

Chunks:

(ChunkerEvaluator) Sentence #880 from 00102608 from sent9

Text  : 3 ) art . 8 1 ust . 3 ustawy powołanej w_ punkcie 1_ z_ art ._ 49 i_ art ._ 51 Konstytucji ,_
Tokens: 1 2 3__ 4 5 6 7__ 8 9 10____ 11_______ 12 13_____ 14 15 16_ 17 18 19 20_ 21 22 23_________ 24

Chunks:

(ChunkerEvaluator) Sentence #881 from 00102608 from sent10

Text  : 4 ) art . 8 2 ust . 3 i_ 4_ ustawy powołanej w_ punkcie 1_ z_ art ._ 31 ust ._ 3_ ,_ art ._ 32 oraz art ._ 58 Konstytucji ,_ 5_ )_ art ._ 8_ 3_ ust ._ 1_ ustawy powołanej w_ punkcie 1_ z_ art ._ 32 Konstytucji ,_
Tokens: 1 2 3__ 4 5 6 7__ 8 9 10 11 12____ 13_______ 14 15_____ 16 17 18_ 19 20 21_ 22 23 24 25_ 26 27 28__ 29_ 30 31 32_________ 33 34 35 36_ 37 38 39 40_ 41 42 43____ 44_______ 45 46_____ 47 48 49_ 50 51 52_________ 53

Chunks:

(ChunkerEvaluator) Sentence #882 from 00102608 from sent11

Text  : 6 ) art . 11 ust . 1 1 pkt 2_ ustawy powołanej w_ punkcie 1_ z_ art ._ 32 Konstytucji ,_
Tokens: 1 2 3__ 4 5_ 6__ 7 8 9 10_ 11 12____ 13_______ 14 15_____ 16 17 18_ 19 20 21_________ 22

Chunks:

(ChunkerEvaluator) Sentence #883 from 00102608 from sent12

Text  : 7 ) art . 26 ust . 1 ustawy powołanej w_ punkcie 1_ z_ art ._ 58 oraz art ._ 75 Konstytucji ,_ 8_ )_ art ._ 35 ust ._ 2_ 1_ ustawy powołanej w_ punkcie 1_ z_ art ._ 32 Konstytucji ,_
Tokens: 1 2 3__ 4 5_ 6__ 7 8 9_____ 10_______ 11 12_____ 13 14 15_ 16 17 18__ 19_ 20 21 22_________ 23 24 25 26_ 27 28 29_ 30 31 32 33____ 34_______ 35 36_____ 37 38 39_ 40 41 42_________ 43

Chunks:

(ChunkerEvaluator) Sentence #884 from 00102608 from sent13

Text  : 9 ) art . 48 ustawy powołanej w punkcie 1_ z_ art ._ 64 Konstytucji ,_
Tokens: 1 2 3__ 4 5_ 6_____ 7________ 8 9______ 10 11 12_ 13 14 15_________ 16

Chunks:

(ChunkerEvaluator) Sentence #885 from 00102608 from sent14

Text  : 10 ) art . 6 ust . 1 ustawy z_ dnia 14 czerwca 2007 r_ ._ o_ zmianie ustawy o_ spółdzielniach mieszkaniowych oraz o_ zmianie niektórych innych ustaw (_ Dz ._ U_ ._ Nr 125 ,_ poz ._ 873 )_ z_ art ._ 2_ Konstytucji ,_
Tokens: 1_ 2 3__ 4 5 6__ 7 8 9_____ 10 11__ 12 13_____ 14__ 15 16 17 18_____ 19____ 20 21____________ 22____________ 23__ 24 25_____ 26________ 27____ 28___ 29 30 31 32 33 34 35_ 36 37_ 38 39_ 40 41 42_ 43 44 45_________ 46

Chunks:
  TruePositive nam [9,28] = ustawy z dnia 14 czerwca 2007 r . o zmianie ustawy o spółdzielniach mieszkaniowych oraz o zmianie niektórych innych ustaw (confidence=0.80)
  TruePositive nam [30,33] = Dz . U . (confidence=1.00)

(ChunkerEvaluator) Sentence #886 from 00102608 from sent15

Text  : 11 ) art . 10 ust . 1 ustawy powołanej w_ punkcie 10 z_ art ._ 31 ust ._ 3_ ,_ art ._ 32 oraz art ._ 58 Konstytucji ,_
Tokens: 1_ 2 3__ 4 5_ 6__ 7 8 9_____ 10_______ 11 12_____ 13 14 15_ 16 17 18_ 19 20 21 22_ 23 24 25__ 26_ 27 28 29_________ 30

Chunks:

(ChunkerEvaluator) Sentence #887 from 00102608 from sent16

Text  : 12 ) art . 12 ustawy powołanej w punkcie 10 z_ art ._ 2_ Konstytucji ,_
Tokens: 1_ 2 3__ 4 5_ 6_____ 7________ 8 9______ 10 11 12_ 13 14 15_________ 16

Chunks:

(ChunkerEvaluator) Sentence #888 from 00102608 from sent17

Text  : 13 ) art . 93a ustawy z dnia 16 września 1982 r_ ._ -_ Prawo spółdzielcze (_ Dz ._ U_ ._ z_ 2003 r_ ._ Nr 188 ,_ poz ._ 1848 ,_ ze zm ._ )_ z_ art ._ 32 ust ._ 1_ ,_ art ._ 78 oraz art ._ 146 ust ._ 4_ Konstytucji ,_ 1_ ._
Tokens: 1_ 2 3__ 4 5__ 6_____ 7 8___ 9_ 10______ 11__ 12 13 14 15___ 16__________ 17 18 19 20 21 22 23__ 24 25 26 27_ 28 29_ 30 31__ 32 33 34 35 36 37 38_ 39 40 41_ 42 43 44 45_ 46 47 48__ 49_ 50 51_ 52_ 53 54 55_________ 56 57 58

Chunks:
  TruePositive nam [15,16] = Prawo spółdzielcze (confidence=0.99)
  TruePositive nam [18,21] = Dz . U . (confidence=1.00)

(ChunkerEvaluator) Sentence #889 from 00102608 from sent18

Text  : Art . 4 ust . 4 1 ustawy z dnia 15 grudnia 2000 r_ ._ o_ spółdzielniach mieszkaniowych (_ Dz ._ U_ ._ z_ 2003 r_ ._ Nr 119 ,_ poz ._ 1116 ,_ z_ 2004 r_ ._ Nr 19 ,_ poz ._ 177 i_ Nr 63 ,_ poz ._ 591 ,_ z_ 2005 r_ ._ Nr 72 ,_ poz ._ 643 ,_ Nr 122 ,_ poz ._ 1024 ,_ Nr 167 ,_ poz ._ 1398 i_ Nr 260 ,_ poz ._ 2184 ,_ z_ 2006 r_ ._ Nr 165 ,_ poz ._ 1180 ,_ z_ 2007 r_ ._ Nr_ 125 ,__ poz .__ 873 ,__ z__ 2008 r__ .__ Nr_ 235 ,__ poz .__ 1617 oraz z__ 2009 r__ .__ Nr_ 65_ ,__ poz .__ 545 )__ nie jest niezgodny z__ art .__ 32_ ust .__ 2__ Konstytucji Rzeczypospolitej Polskiej .__
Tokens: 1__ 2 3 4__ 5 6 7 8_____ 9 10__ 11 12_____ 13__ 14 15 16 17____________ 18____________ 19 20 21 22 23 24 25__ 26 27 28 29_ 30 31_ 32 33__ 34 35 36__ 37 38 39 40 41 42_ 43 44_ 45 46 47 48 49_ 50 51_ 52 53 54__ 55 56 57 58 59 60_ 61 62_ 63 64 65_ 66 67_ 68 69__ 70 71 72_ 73 74_ 75 76__ 77 78 79_ 80 81_ 82 83__ 84 85 86__ 87 88 89 90_ 91 92_ 93 94__ 95 96 97__ 98 99 100 101 102 103 104 105 106 107 108_ 109 110 111 112 113 114 115 116_ 117_ 118 119_ 120 121 122 123 124 125 126 127 128 129 130_ 131______ 132 133 134 135 136 137 138 139________ 140_____________ 141_____ 142

Chunks:
  TruePositive nam [20,23] = Dz . U . (confidence=1.00)
  TruePositive nam [139,141] = Konstytucji Rzeczypospolitej Polskiej (confidence=0.97)
  FalsePositive nam [6,18] = 4 1 ustawy z dnia 15 grudnia 2000 r . o spółdzielniach mieszkaniowych (confidence=0.74) (incorrect boundry)
  FalseNegative nam [8,18] = ustawy z dnia 15 grudnia 2000 r . o spółdzielniach mieszkaniowych

2017-06-14 20:27:44,276 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 56 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102668.xml
(ChunkerEvaluator) Sentence #890 from 00102668 from sent1

Text  : dzień dobry , xxx , słucham
Tokens: 1____ 2____ 3 4__ 5 6______

Chunks:

(ChunkerEvaluator) Sentence #891 from 00102668 from sent2

Text  : halo , dzień dobry , ja mam takie pytanie ,_ do ilu lat dziecko może jeździć bez biletu tramwajem ?_
Tokens: 1___ 2 3____ 4____ 5 6_ 7__ 8____ 9______ 10 11 12_ 13_ 14_____ 15__ 16_____ 17_ 18____ 19_______ 20

Chunks:

(ChunkerEvaluator) Sentence #892 from 00102668 from sent3

Text  : FILLER do czasu objęcia obowiązkiem szkolnym , czyli do siódmego roku życia
Tokens: 1_____ 2_ 3____ 4______ 5__________ 6_______ 7 8____ 9_ 10______ 11__ 12___

Chunks:

(ChunkerEvaluator) Sentence #893 from 00102668 from sent4

Text  : no dobrze , ale jak na przy , aha FILLER czyli to chodzi o_ rok kalendarzowy ?_
Tokens: 1_ 2_____ 3 4__ 5__ 6_ 7___ 8 9__ 10____ 11___ 12 13____ 14 15_ 16__________ 17

Chunks:

(ChunkerEvaluator) Sentence #894 from 00102668 from sent5

Text  : do pierwszego września roku , w którym dziecko kończy siedem
Tokens: 1_ 2_________ 3_______ 4___ 5 6 7_____ 8______ 9_____ 10____

Chunks:

(ChunkerEvaluator) Sentence #895 from 00102668 from sent6

Text  : ano właśnie FILLER no bo dziecko , na przykład ,_ kończy siedem lat teraz w_ kwietniu
Tokens: 1__ 2______ 3_____ 4_ 5_ 6______ 7 8_ 9_______ 10 11____ 12____ 13_ 14___ 15 16______

Chunks:

(ChunkerEvaluator) Sentence #896 from 00102668 from sent7

Text  : ale przejazdy ma bezpłatne do czasu objęcia obowiązkiem
Tokens: 1__ 2________ 3_ 4________ 5_ 6____ 7______ 8__________

Chunks:

(ChunkerEvaluator) Sentence #897 from 00102668 from sent8

Text  : aha , czyli do momentu kiedy nie zacznie się chodzić
Tokens: 1__ 2 3____ 4_ 5______ 6____ 7__ 8______ 9__ 10_____

Chunks:

(ChunkerEvaluator) Sentence #898 from 00102668 from sent9

Text  : szkolnym ma obowiązek , a obowiązek szkolny zaczyna się
Tokens: 1_______ 2_ 3________ 4 5 6________ 7______ 8______ 9__

Chunks:

(ChunkerEvaluator) Sentence #899 from 00102668 from sent10

Text  : do szkoły tak ?
Tokens: 1_ 2_____ 3__ 4

Chunks:

(ChunkerEvaluator) Sentence #900 from 00102668 from sent11

Text  : tak , dokładnie
Tokens: 1__ 2 3________

Chunks:

(ChunkerEvaluator) Sentence #901 from 00102668 from sent12

Text  : dziękuję panu bardzo
Tokens: 1_______ 2___ 3_____

Chunks:

(ChunkerEvaluator) Sentence #902 from 00102668 from sent13

Text  : bardzo proszę
Tokens: 1_____ 2_____

Chunks:

2017-06-14 20:27:44,310 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 57 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102679.xml
(ChunkerEvaluator) Sentence #903 from 00102679 from sent1

Text  : dzień dobry , xxx , słucham
Tokens: 1____ 2____ 3 4__ 5 6______

Chunks:

(ChunkerEvaluator) Sentence #904 from 00102679 from sent2

Text  : FILLER dzień dobry , proszę pani , interesuje mnie autobus pięćset dwadzieścia jeden w_ stronę Radości ,_ tylko nie wiem ,_ gdzie on __ __ __ końcu przystanków ,_ wiem tylko ,_ że w_ stronę Radości gdzieś jedzie
Tokens: 1_____ 2____ 3____ 4 5_____ 6___ 7 8_________ 9___ 10_____ 11_____ 12_________ 13___ 14 15____ 16_____ 17 18___ 19_ 20__ 21 22___ 23 24 25 26 27___ 28_________ 29 30__ 31___ 32 33 34 35____ 36_____ 37____ 38____

Chunks:
  TruePositive nam [16,16] = Radości (confidence=0.99)
  TruePositive nam [36,36] = Radości (confidence=1.00)

(ChunkerEvaluator) Sentence #905 from 00102679 from sent3

Text  : FILLER dobrze do Falenicy jedzie , tak ?
Tokens: 1_____ 2_____ 3_ 4_______ 5_____ 6 7__ 8

Chunks:
  TruePositive nam [4,4] = Falenicy (confidence=1.00)

(ChunkerEvaluator) Sentence #906 from 00102679 from sent4

Text  : a z przystanku
Tokens: 1 2 3_________

Chunks:

(ChunkerEvaluator) Sentence #907 from 00102679 from sent5

Text  : Szembeka
Tokens: 1_______

Chunks:
  TruePositive nam [1,1] = Szembeka (confidence=0.93)

(ChunkerEvaluator) Sentence #908 from 00102679 from sent6

Text  : z Placu Szembeka proszę bardzo , od której godziny pani życzy ?_
Tokens: 1 2____ 3_______ 4_____ 5_____ 6 7_ 8_____ 9______ 10__ 11___ 12

Chunks:
  TruePositive nam [2,3] = Placu Szembeka (confidence=1.00)

(ChunkerEvaluator) Sentence #909 from 00102679 from sent7

Text  : jutro od dziewiątej
Tokens: 1____ 2_ 3_________

Chunks:

(ChunkerEvaluator) Sentence #910 from 00102679 from sent8

Text  : jutro od dziewiątej , dobrze , proszę pani , dziewiąta czternaście
Tokens: 1____ 2_ 3_________ 4 5_____ 6 7_____ 8___ 9 10_______ 11_________

Chunks:

(ChunkerEvaluator) Sentence #911 from 00102679 from sent9

Text  : FILLER
Tokens: 1_____

Chunks:

(ChunkerEvaluator) Sentence #912 from 00102679 from sent10

Text  : trzydzieści pięć
Tokens: 1__________ 2___

Chunks:

(ChunkerEvaluator) Sentence #913 from 00102679 from sent11

Text  : FILLER
Tokens: 1_____

Chunks:

(ChunkerEvaluator) Sentence #914 from 00102679 from sent12

Text  : pięćdziesiąt sześć . . .
Tokens: 1___________ 2____ 3 4 5

Chunks:

(ChunkerEvaluator) Sentence #915 from 00102679 from sent13

Text  : dziesiąta
Tokens: 1________

Chunks:

(ChunkerEvaluator) Sentence #916 from 00102679 from sent14

Text  : siedemnaście
Tokens: 1___________

Chunks:

(ChunkerEvaluator) Sentence #917 from 00102679 from sent15

Text  : trzydzieści
Tokens: 1__________

Chunks:

(ChunkerEvaluator) Sentence #918 from 00102679 from sent16

Text  : siedem i pięćdziesiąt siedem
Tokens: 1_____ 2 3___________ 4_____

Chunks:

(ChunkerEvaluator) Sentence #919 from 00102679 from sent17

Text  : FILLER dziękuję bardzo
Tokens: 1_____ 2_______ 3_____

Chunks:

(ChunkerEvaluator) Sentence #920 from 00102679 from sent18

Text  : dziękuję uprzejmie , do widzenia
Tokens: 1_______ 2________ 3 4_ 5_______

Chunks:

(ChunkerEvaluator) Sentence #921 from 00102679 from sent19

Text  : do widzenia
Tokens: 1_ 2_______

Chunks:

2017-06-14 20:27:44,340 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 58 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102712.xml
(ChunkerEvaluator) Sentence #922 from 00102712 from sent1

Text  : xxx , dzień dobry
Tokens: 1__ 2 3____ 4____

Chunks:

(ChunkerEvaluator) Sentence #923 from 00102712 from sent2

Text  : dzień dobry , chciała by m się zapytać o autobus sto siedemdziesiąt pięć ,_ jadąc w_ kierunku Okęcia ,_ żeby wysiąść przy Racławickiej ,_ jak się nazywa przystanek __ __ __
Tokens: 1____ 2____ 3 4______ 5_ 6 7__ 8______ 9 10_____ 11_ 12____________ 13__ 14 15___ 16 17______ 18____ 19 20__ 21_____ 22__ 23__________ 24 25_ 26_ 27____ 28________ 29 30 31

Chunks:
  TruePositive nam [18,18] = Okęcia (confidence=0.81)
  TruePositive nam [23,23] = Racławickiej (confidence=1.00)

(ChunkerEvaluator) Sentence #924 from 00102712 from sent3

Text  : FILLER przy Racławickiej to jest przystanek Rakowiec
Tokens: 1_____ 2___ 3___________ 4_ 5___ 6_________ 7_______

Chunks:
  TruePositive nam [3,3] = Racławickiej (confidence=1.00)
  TruePositive nam [7,7] = Rakowiec (confidence=0.99)

(ChunkerEvaluator) Sentence #925 from 00102712 from sent4

Text  : dobrze , dziękuję , do widzenia
Tokens: 1_____ 2 3_______ 4 5_ 6_______

Chunks:

(ChunkerEvaluator) Sentence #926 from 00102712 from sent5

Text  : do widzenia
Tokens: 1_ 2_______

Chunks:

2017-06-14 20:27:44,354 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 59 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102717.xml
(ChunkerEvaluator) Sentence #927 from 00102717 from sent1

Text  : FILLER dobra , wie pan co , a tak jeszcze tak
Tokens: 1_____ 2____ 3 4__ 5__ 6_ 7 8 9__ 10_____ 11_

Chunks:

(ChunkerEvaluator) Sentence #928 from 00102717 from sent2

Text  : _ _ _ najbardziej to mnie interesuje FILLER cholera ,_ tylko nie wiem ,_ czy w_ ogóle cokolwiek tam jedzie FILLER regiony Kobylańskiej ,_ Korzennej ,_ te sprawy ,_ Spiralna ._ ._ ._
Tokens: 1 2 3 4__________ 5_ 6___ 7_________ 8_____ 9______ 10 11___ 12_ 13__ 14 15_ 16 17___ 18_______ 19_ 20____ 21____ 22_____ 23__________ 24 25_______ 26 27 28____ 29 30______ 31 32 33

Chunks:
  TruePositive nam [23,23] = Kobylańskiej (confidence=1.00)
  TruePositive nam [25,25] = Korzennej (confidence=1.00)
  TruePositive nam [30,30] = Spiralna (confidence=0.99)

(ChunkerEvaluator) Sentence #929 from 00102717 from sent3

Text  : FILLER chwileczkę . . .
Tokens: 1_____ 2_________ 3 4 5

Chunks:

(ChunkerEvaluator) Sentence #930 from 00102717 from sent4

Text  : nie , idzie do końca Augustówki
Tokens: 1__ 2 3____ 4_ 5____ 6_________

Chunks:
  TruePositive nam [6,6] = Augustówki (confidence=0.88)

(ChunkerEvaluator) Sentence #931 from 00102717 from sent5

Text  : FILLER czy on jedzie Augustówką ?
Tokens: 1_____ 2__ 3_ 4_____ 5_________ 6

Chunks:
  TruePositive nam [5,5] = Augustówką (confidence=0.99)

(ChunkerEvaluator) Sentence #932 from 00102717 from sent6

Text  : aż zaraz sprawdzę . . .
Tokens: 1_ 2____ 3_______ 4 5 6

Chunks:

(ChunkerEvaluator) Sentence #933 from 00102717 from sent7

Text  : Augustówką aż , aż do Antoniewskiej
Tokens: 1_________ 2_ 3 4_ 5_ 6____________

Chunks:
  TruePositive nam [6,6] = Antoniewskiej (confidence=1.00)
  FalseNegative nam [1,1] = Augustówką

(ChunkerEvaluator) Sentence #934 from 00102717 from sent8

Text  : aha , czyli tutaj później w lewo skręca w Antoniewską a_ w_ tutaj w_ prawo w_ tę stronę FILLER w_ stronę Wisły Korzenna Spiralna tam to coś w_ ogóle się porusza czy już nie
Tokens: 1__ 2 3____ 4____ 5______ 6 7___ 8_____ 9 10_________ 11 12 13___ 14 15___ 16 17 18____ 19____ 20 21____ 22___ 23______ 24______ 25_ 26 27_ 28 29___ 30_ 31_____ 32_ 33_ 34_

Chunks:
  TruePositive nam [10,10] = Antoniewską (confidence=0.99)
  FalsePositive nam [22,24] = Wisły Korzenna Spiralna (confidence=1.00) (incorrect boundry)
  FalseNegative nam [22,22] = Wisły
  FalseNegative nam [23,23] = Korzenna
  FalseNegative nam [24,24] = Spiralna

(ChunkerEvaluator) Sentence #935 from 00102717 from sent9

Text  : a to zaraz zobaczę , bo tam jeżdżą co prawda dwie linie w_ tą stronę ,_ ale czy FILLER zaraz podam panu jakimi ulicami ._ ._ ._
Tokens: 1 2_ 3____ 4______ 5 6_ 7__ 8_____ 9_ 10____ 11__ 12___ 13 14 15____ 16 17_ 18_ 19____ 20___ 21___ 22__ 23____ 24_____ 25 26 27

Chunks:

(ChunkerEvaluator) Sentence #936 from 00102717 from sent10

Text  : tylko że nie będą wtedy z Wilanowskiej
Tokens: 1____ 2_ 3__ 4___ 5____ 6 7___________

Chunks:
  TruePositive nam [7,7] = Wilanowskiej (confidence=1.00)

(ChunkerEvaluator) Sentence #937 from 00102717 from sent11

Text  : FILLER . . .
Tokens: 1_____ 2 3 4

Chunks:

(ChunkerEvaluator) Sentence #938 from 00102717 from sent12

Text  : a jest linia sto sześćdziesiąt trzy od Sadyby . ._ ._
Tokens: 1 2___ 3____ 4__ 5____________ 6___ 7_ 8_____ 9 10 11

Chunks:
  FalsePositive nam [8,8] = Sadyby (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #939 from 00102717 from sent13

Text  : FILLER on wjeżdża w Augustówkę i z Augustówkę w Zawodzią Kobylańską ,_ przy Spiralnej ma przystanek ,_ to chyba jeśli chodzi o_ to
Tokens: 1_____ 2_ 3______ 4 5_________ 6 7 8_________ 9 10______ 11________ 12 13__ 14_______ 15 16________ 17 18 19___ 20___ 21____ 22 23

Chunks:
  TruePositive nam [5,5] = Augustówkę (confidence=0.96)
  TruePositive nam [8,8] = Augustówkę (confidence=1.00)
  TruePositive nam [14,14] = Spiralnej (confidence=1.00)
  FalsePositive nam [10,11] = Zawodzią Kobylańską (confidence=1.00) (incorrect boundry)
  FalseNegative nam [10,10] = Zawodzią
  FalseNegative nam [11,11] = Kobylańską

(ChunkerEvaluator) Sentence #940 from 00102717 from sent14

Text  : aha
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #941 from 00102717 from sent15

Text  : to może , to by panu pasowało , ale to przy Sadybie by pan się przesiadł wtedy
Tokens: 1_ 2___ 3 4_ 5_ 6___ 7_______ 8 9__ 10 11__ 12_____ 13 14_ 15_ 16_______ 17___

Chunks:
  TruePositive nam [12,12] = Sadybie (confidence=0.99)

(ChunkerEvaluator) Sentence #942 from 00102717 from sent16

Text  : Sadyba tak sto sześćdziesiąt trzy , tak ?
Tokens: 1_____ 2__ 3__ 4____________ 5___ 6 7__ 8

Chunks:
  FalseNegative nam [1,1] = Sadyba

(ChunkerEvaluator) Sentence #943 from 00102717 from sent17

Text  : sto sześćdziesiąt trzy
Tokens: 1__ 2____________ 3___

Chunks:

(ChunkerEvaluator) Sentence #944 from 00102717 from sent18

Text  : dobra , niech pan mi powie FILLER czy ma pan wgląd w_ ogóle sto sześćdziesiąt trzy pierwszy autobus ,_ o_ której jest rano ?_
Tokens: 1____ 2 3____ 4__ 5_ 6____ 7_____ 8__ 9_ 10_ 11___ 12 13___ 14_ 15___________ 16__ 17______ 18_____ 19 20 21____ 22__ 23__ 24

Chunks:

(ChunkerEvaluator) Sentence #945 from 00102717 from sent19

Text  : z Sadyby pierwszy jest FILLER w dzień powszedni ?
Tokens: 1 2_____ 3_______ 4___ 5_____ 6 7____ 8________ 9

Chunks:
  TruePositive nam [2,2] = Sadyby (confidence=1.00)

(ChunkerEvaluator) Sentence #946 from 00102717 from sent20

Text  : czwarta trzydzieści sześć . . .
Tokens: 1______ 2__________ 3____ 4 5 6

Chunks:

(ChunkerEvaluator) Sentence #947 from 00102717 from sent21

Text  : dobra , a niech pan powie tak , na Sadybę jak się można dostać tam FILLER nie wiem ,_ dajmy na to ,_ najlepiej by mi pasowało ,_ cholera FILLER z_ Puławskiej tutaj wysokość Piaseczna ,_ ale to trza było by do Wilanowskiej dojechać i_ z_ Wilanowskiej ,_ tak ?_
Tokens: 1____ 2 3 4____ 5__ 6____ 7__ 8 9_ 10____ 11_ 12_ 13___ 14____ 15_ 16____ 17_ 18__ 19 20___ 21 22 23 24_______ 25 26 27______ 28 29_____ 30____ 31 32________ 33___ 34______ 35_______ 36 37_ 38 39__ 40__ 41 42 43__________ 44______ 45 46 47__________ 48 49_ 50

Chunks:
  TruePositive nam [10,10] = Sadybę (confidence=1.00)
  TruePositive nam [32,32] = Puławskiej (confidence=0.99)
  TruePositive nam [35,35] = Piaseczna (confidence=1.00)
  TruePositive nam [43,43] = Wilanowskiej (confidence=0.96)
  TruePositive nam [47,47] = Wilanowskiej (confidence=1.00)

(ChunkerEvaluator) Sentence #948 from 00102717 from sent22

Text  : no , ale z Wilanowskiej wtedy sto osiem jedynie a_ zaraz zobaczę ,_ o_ której jest sto osiem pierwsze
Tokens: 1_ 2 3__ 4 5___________ 6____ 7__ 8____ 9______ 10 11___ 12_____ 13 14 15____ 16__ 17_ 18___ 19______

Chunks:
  TruePositive nam [5,5] = Wilanowskiej (confidence=1.00)

(ChunkerEvaluator) Sentence #949 from 00102717 from sent23

Text  : . . .
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #950 from 00102717 from sent24

Text  : FILLER czwarta pięćdziesiąt jest pierwsza dopiero
Tokens: 1_____ 2______ 3___________ 4___ 5_______ 6______

Chunks:

(ChunkerEvaluator) Sentence #951 from 00102717 from sent25

Text  : FILLER on do Sadyby jedzie jedenaście minut tak około jedenastu FILLER a_ kolejny jest piąta jeden ten sto sześćdziesiąt trzy ._ ._ ._
Tokens: 1_____ 2_ 3_ 4_____ 5_____ 6_________ 7____ 8__ 9____ 10_______ 11____ 12 13_____ 14__ 15___ 16___ 17_ 18_ 19___________ 20__ 21 22 23

Chunks:
  TruePositive nam [4,4] = Sadyby (confidence=1.00)

(ChunkerEvaluator) Sentence #952 from 00102717 from sent26

Text  : dobra , czyli tak trza było dojechać do Wilanowskiej z_ Wilanowskiej sto osiem do Sadyby
Tokens: 1____ 2 3____ 4__ 5___ 6___ 7_______ 8_ 9___________ 10 11__________ 12_ 13___ 14 15____

Chunks:
  TruePositive nam [9,9] = Wilanowskiej (confidence=0.99)
  TruePositive nam [11,11] = Wilanowskiej (confidence=1.00)
  TruePositive nam [15,15] = Sadyby (confidence=1.00)

(ChunkerEvaluator) Sentence #953 from 00102717 from sent27

Text  : tak albo już na Augustówce można się przesiąść , jak wjedzie tylko w_ Augustówkę
Tokens: 1__ 2___ 3__ 4_ 5_________ 6____ 7__ 8________ 9 10_ 11_____ 12___ 13 14________

Chunks:
  TruePositive nam [5,5] = Augustówce (confidence=0.93)
  TruePositive nam [14,14] = Augustówkę (confidence=0.97)

(ChunkerEvaluator) Sentence #954 from 00102717 from sent28

Text  : no tak , no tak , okey FILLER no dobra ,_ dobra pięknie
Tokens: 1_ 2__ 3 4_ 5__ 6 7___ 8_____ 9_ 10___ 11 12___ 13_____

Chunks:

(ChunkerEvaluator) Sentence #955 from 00102717 from sent29

Text  : dziękuję , kłaniam się
Tokens: 1_______ 2 3______ 4__

Chunks:

(ChunkerEvaluator) Sentence #956 from 00102717 from sent30

Text  : proszę bardzo
Tokens: 1_____ 2_____

Chunks:

(ChunkerEvaluator) Sentence #957 from 00102717 from sent31

Text  : do widzenia
Tokens: 1_ 2_______

Chunks:

2017-06-14 20:27:44,453 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 60 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103634.xml
(ChunkerEvaluator) Sentence #958 from 00103634 from sent1

Text  : Wielkości , jakiej uczy nas dzisiaj Jezus , nie osiąga się przez zabieganie o_ własne sprawy ,_ lecz przez troskę o_ innych :_ chcesz być pierwszym ,_ stań się sługą wszystkich !_
Tokens: 1________ 2 3_____ 4___ 5__ 6______ 7____ 8 9__ 10____ 11_ 12___ 13________ 14 15____ 16____ 17 18__ 19___ 20____ 21 22____ 23 24____ 25_ 26_______ 27 28__ 29_ 30___ 31________ 32

Chunks:
  TruePositive nam [7,7] = Jezus (confidence=1.00)

(ChunkerEvaluator) Sentence #959 from 00103634 from sent2

Text  : Istnieje tylko jedna władza i jedno pierwsze miejsce : ofiarna i_ bezinteresowna służba braciom ._
Tokens: 1_______ 2____ 3____ 4_____ 5 6____ 7_______ 8______ 9 10_____ 11 12____________ 13____ 14_____ 15

Chunks:

(ChunkerEvaluator) Sentence #960 from 00103634 from sent3

Text  : W pierwszej chwili wydaje się to dziwne , lecz sprawdza się w_ życiu ._
Tokens: 1 2________ 3_____ 4_____ 5__ 6_ 7_____ 8 9___ 10______ 11_ 12 13___ 14

Chunks:

(ChunkerEvaluator) Sentence #961 from 00103634 from sent4

Text  : Bł . Matka Teresa z Kalkuty nie dokonała żadnego odkrycia w_ nauce ,_ nie stworzyła dzieła sztuki ,_ nie odniosła sukcesu fonograficznego ani sportowego ._
Tokens: 1_ 2 3____ 4_____ 5 6______ 7__ 8_______ 9______ 10______ 11 12___ 13 14_ 15_______ 16____ 17____ 18 19_ 20______ 21_____ 22_____________ 23_ 24________ 25

Chunks:
  TruePositive nam [6,6] = Kalkuty (confidence=0.98)
  FalsePositive nam [4,4] = Teresa (confidence=0.92) (incorrect boundry)
  FalseNegative nam [3,4] = Matka Teresa

(ChunkerEvaluator) Sentence #962 from 00103634 from sent5

Text  : Zamiast tego poświęciła swe życie najuboższym , ostatnim z ostatnich ._
Tokens: 1______ 2___ 3_________ 4__ 5____ 6__________ 7 8_______ 9 10_______ 11

Chunks:

(ChunkerEvaluator) Sentence #963 from 00103634 from sent6

Text  : Czy ktoś powie , że jej posługiwanie ubogim , kontakt z_ nędzą ,_ chorobami ,_ brudem itd ._ uwłaczało jej godności i_ uczyniło mniejszą niż była wcześniej ?_
Tokens: 1__ 2___ 3____ 4 5_ 6__ 7___________ 8_____ 9 10_____ 11 12___ 13 14_______ 15 16____ 17_ 18 19_______ 20_ 21______ 22 23______ 24______ 25_ 26__ 27_______ 28

Chunks:

(ChunkerEvaluator) Sentence #964 from 00103634 from sent7

Text  : Nie .
Tokens: 1__ 2

Chunks:

(ChunkerEvaluator) Sentence #965 from 00103634 from sent8

Text  : Każdy powie , że przez zniżenie się do tych ostatnich ,_ aby im pomagać ,_ stała się jeszcze większą ._
Tokens: 1____ 2____ 3 4_ 5____ 6_______ 7__ 8_ 9___ 10_______ 11 12_ 13 14_____ 15 16___ 17_ 18_____ 19_____ 20

Chunks:

(ChunkerEvaluator) Sentence #966 from 00103634 from sent9

Text  : Wszyscy ją podziwiali – niezależnie od przekonań religijnych czy politycznych ._
Tokens: 1______ 2_ 3_________ 4 5__________ 6_ 7________ 8__________ 9__ 10__________ 11

Chunks:

(ChunkerEvaluator) Sentence #967 from 00103634 from sent10

Text  : Otrzymała nawet pokojową nagrodę Nobla .
Tokens: 1________ 2____ 3_______ 4______ 5____ 6

Chunks:
  FalsePositive nam [5,5] = Nobla (confidence=1.00) (incorrect boundry)
  FalseNegative nam [4,5] = nagrodę Nobla

(ChunkerEvaluator) Sentence #968 from 00103634 from sent11

Text  : Fakt poświęcenia się dla innych , uczynił ją prawdziwie wielką –_ cieszyła się ogólnoludzkim uznaniem i_ szacunkiem ._
Tokens: 1___ 2__________ 3__ 4__ 5_____ 6 7______ 8_ 9_________ 10____ 11 12______ 13_ 14___________ 15______ 16 17________ 18

Chunks:

(ChunkerEvaluator) Sentence #969 from 00103634 from sent12

Text  : A im bardziej poświęcała się dla drugich , tym większą stawała się w_ oczach świata ._
Tokens: 1 2_ 3_______ 4_________ 5__ 6__ 7______ 8 9__ 10_____ 11_____ 12_ 13 14____ 15____ 16

Chunks:

(ChunkerEvaluator) Sentence #970 from 00103634 from sent13

Text  : Rozpoczynamy dzisiaj w Kościele Tydzień Misyjny .
Tokens: 1___________ 2______ 3 4_______ 5______ 6______ 7

Chunks:
  FalsePositive nam [4,6] = Kościele Tydzień Misyjny (confidence=1.00) (incorrect boundry)
  FalseNegative nam [4,4] = Kościele
  FalseNegative nam [5,6] = Tydzień Misyjny

(ChunkerEvaluator) Sentence #971 from 00103634 from sent14

Text  : Modląc się za misjonarzy i misjonarki popatrzmy jeszcze na postać św ._ Wincentego a_ Paulo pioniera Misji założyciela zgromadzenia księży misjonarzy i_ patrona dzieł miłosierdzia ._
Tokens: 1_____ 2__ 3_ 4_________ 5 6_________ 7________ 8______ 9_ 10____ 11 12 13________ 14 15___ 16______ 17___ 18_________ 19__________ 20____ 21________ 22 23_____ 24___ 25__________ 26

Chunks:
  FalsePositive nam [11,13] = św . Wincentego (confidence=0.76) (incorrect boundry)
  FalsePositive nam [15,15] = Paulo (confidence=0.93) (incorrect boundry)
  FalsePositive nam [17,17] = Misji (confidence=0.96) (incorrect boundry)
  FalseNegative nam [13,15] = Wincentego a Paulo

(ChunkerEvaluator) Sentence #972 from 00103634 from sent15

Text  : Św . Wincenty żył w siedemnastowiecznej Francji i najprawdopodobniej za namową ojca wybrał stan duchowny ,_ aby podnieść status społeczny rodziny ._
Tokens: 1_ 2 3_______ 4__ 5 6__________________ 7______ 8 9_________________ 10 11____ 12__ 13____ 14__ 15______ 16 17_ 18______ 19____ 20_______ 21_____ 22

Chunks:
  TruePositive nam [3,3] = Wincenty (confidence=0.98)
  TruePositive nam [7,7] = Francji (confidence=0.98)

(ChunkerEvaluator) Sentence #973 from 00103634 from sent16

Text  : Później jako ksiądz zabiegał o posadę biskupa .
Tokens: 1______ 2___ 3_____ 4_______ 5 6_____ 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #974 from 00103634 from sent17

Text  : Nie było to złe pragnienie , ale wtedy nie św ._ Wincenty nie rozumiał jeszcze tego o_ czym mówi dzisiaj Jezus w_ Ewangelii :_ że przełożeństwo jest służbą ._
Tokens: 1__ 2___ 3_ 4__ 5_________ 6 7__ 8____ 9__ 10 11 12______ 13_ 14______ 15_____ 16__ 17 18__ 19__ 20_____ 21___ 22 23_______ 24 25 26___________ 27__ 28____ 29

Chunks:
  TruePositive nam [12,12] = Wincenty (confidence=0.99)
  TruePositive nam [21,21] = Jezus (confidence=1.00)
  TruePositive nam [23,23] = Ewangelii (confidence=1.00)

(ChunkerEvaluator) Sentence #975 from 00103634 from sent18

Text  : Dlatego na drodze jego życia stanął Pan w przebraniu ubogich i_ bezdomnych ._
Tokens: 1______ 2_ 3_____ 4___ 5____ 6_____ 7__ 8 9_________ 10_____ 11 12________ 13

Chunks:
  FalseNegative nam [7,7] = Pan

(ChunkerEvaluator) Sentence #976 from 00103634 from sent19

Text  : Ks . Wincenty porzucił swe ziemskie aspiracje , aby służyć ubogim ,_ za co wdzięczna potomność nadała mu przydomek ojca ubogich ._
Tokens: 1_ 2 3_______ 4_______ 5__ 6_______ 7________ 8 9__ 10____ 11____ 12 13 14 15_______ 16_______ 17____ 18 19_______ 20__ 21_____ 22

Chunks:
  TruePositive nam [3,3] = Wincenty (confidence=1.00)

(ChunkerEvaluator) Sentence #977 from 00103634 from sent20

Text  : Jego poświęcenie się dla ostatnich z ostatnich było tak powszechnie doceniane ,_ że Rewolucja Francuska ,_ która nie uznawała żadnych świętości ,_ bezcześciła nawet groby ,_ uszanowała jego ciało ._
Tokens: 1___ 2__________ 3__ 4__ 5________ 6 7________ 8___ 9__ 10_________ 11_______ 12 13 14_______ 15_______ 16 17___ 18_ 19______ 20_____ 21_______ 22 23_________ 24___ 25___ 26 27________ 28__ 29___ 30

Chunks:
  TruePositive nam [14,15] = Rewolucja Francuska (confidence=1.00)

(ChunkerEvaluator) Sentence #978 from 00103634 from sent21

Text  : Gdyby został biskupem , dziś prawdopodobnie nikt by go nie wspominał ._
Tokens: 1____ 2_____ 3_______ 4 5___ 6_____________ 7___ 8_ 9_ 10_ 11_______ 12

Chunks:

(ChunkerEvaluator) Sentence #979 from 00103634 from sent22

Text  : Prawdziwej wielkości nie da nam pozycja w świecie , zaszczyty ,_ lecz to ,_ co zrobimy dla innych ._
Tokens: 1_________ 2________ 3__ 4_ 5__ 6______ 7 8______ 9 10_______ 11 12__ 13 14 15 16_____ 17_ 18____ 19

Chunks:

(ChunkerEvaluator) Sentence #980 from 00103634 from sent23

Text  : A jest tak dlatego , że sam Bóg postępuje w_ ten sposób :_ w_ swym Synu poświęcił się dla nas całkowicie –_ oddał za nas życie ._
Tokens: 1 2___ 3__ 4______ 5 6_ 7__ 8__ 9________ 10 11_ 12____ 13 14 15__ 16__ 17_______ 18_ 19_ 20_ 21________ 22 23___ 24 25_ 26___ 27

Chunks:
  TruePositive nam [8,8] = Bóg (confidence=1.00)
  FalsePositive nam [16,16] = Synu (confidence=0.96) (incorrect boundry)

(ChunkerEvaluator) Sentence #981 from 00103634 from sent24

Text  : Bóg wyznacza taki wzorzec i tylko stosując się do niego ,_ można osiągnąć prawdziwą wielkość ._
Tokens: 1__ 2_______ 3___ 4______ 5 6____ 7_______ 8__ 9_ 10___ 11 12___ 13______ 14_______ 15______ 16

Chunks:
  TruePositive nam [1,1] = Bóg (confidence=0.99)

(ChunkerEvaluator) Sentence #982 from 00103634 from sent25

Text  : Dlatego na innym miejscu Pan Jezus mówi , że to co wielkie w_ oczach świata ,_ obrzydliwością jest u_ Boga (_ Łk 16 ,_ 15b )_ ._
Tokens: 1______ 2_ 3____ 4______ 5__ 6____ 7___ 8 9_ 10 11 12_____ 13 14____ 15____ 16 17____________ 18__ 19 20__ 21 22 23 24 25_ 26 27

Chunks:
  TruePositive nam [6,6] = Jezus (confidence=0.85)
  TruePositive nam [20,20] = Boga (confidence=1.00)
  TruePositive nam [22,22] = Łk (confidence=0.68)

2017-06-14 20:27:44,575 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 61 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103678.xml
(ChunkerEvaluator) Sentence #983 from 00103678 from sent1

Text  : Prokuratura Rejonowa w Gdańsku
Tokens: 1__________ 2_______ 3 4______

Chunks:
  TruePositive nam [1,2] = Prokuratura Rejonowa (confidence=0.89)
  TruePositive nam [4,4] = Gdańsku (confidence=0.92)

(ChunkerEvaluator) Sentence #984 from 00103678 from sent2

Text  : Gdańsk , 16 czerwca 2005r .
Tokens: 1_____ 2 3_ 4______ 5____ 6

Chunks:
  TruePositive nam [1,1] = Gdańsk (confidence=0.86)

(ChunkerEvaluator) Sentence #985 from 00103678 from sent3

Text  : ZAWIADOMIENIE
Tokens: 1____________

Chunks:

(ChunkerEvaluator) Sentence #986 from 00103678 from sent4

Text  : Niniejszym zawiadamiam o popełnieniu przez organizatorów pochodu 1 maja w_ Gdańska przestępstwa z_ art ._ 256 kodeksu karnego polegającego na publicznym prezentowaniu symboli nawiązujących do ustrojów totalitarnych
Tokens: 1_________ 2__________ 3 4__________ 5____ 6____________ 7______ 8 9___ 10 11_____ 12__________ 13 14_ 15 16_ 17_____ 18_____ 19__________ 20 21________ 22___________ 23_____ 24___________ 25 26______ 27___________

Chunks:
  TruePositive nam [11,11] = Gdańska (confidence=0.99)

(ChunkerEvaluator) Sentence #987 from 00103678 from sent5

Text  : W dniu 1 maja 2005 roku podczas pochodu organizowanego przez Federację Młodych Unii Pracy i_ Unię Lewicy ,_ który miał miejsce w_ Gdańsku w_ godz ._ ok ._ 12 ._ 00 –_ 13 ._ 00 na trasie Cinema City Krewetka –_ Wlk Młyny –_ Podmłyńska –_ Pańska –_ Węglarska –_ Tkacka –_ Długa –_ Neptun doszło do publicznego prezentowania przez uczestnika w_ /_ w_ pochodu symbolu sierpa i_ młota i_ napisu CCCP nawiązującego w_ sposób oczywisty do totalitarnego ustroju Związku Radzieckiego ._
Tokens: 1 2___ 3 4___ 5___ 6___ 7______ 8______ 9_____________ 10___ 11_______ 12_____ 13__ 14___ 15 16__ 17____ 18 19___ 20__ 21_____ 22 23_____ 24 25__ 26 27 28 29 30 31 32 33 34 35 36 37____ 38____ 39__ 40______ 41 42_ 43___ 44 45________ 46 47____ 48 49_______ 50 51____ 52 53___ 54 55____ 56____ 57 58_________ 59___________ 60___ 61________ 62 63 64 65_____ 66_____ 67____ 68 69___ 70 71____ 72__ 73___________ 74 75____ 76_______ 77 78___________ 79_____ 80_____ 81__________ 82

Chunks:
  TruePositive nam [11,14] = Federację Młodych Unii Pracy (confidence=1.00)
  TruePositive nam [16,17] = Unię Lewicy (confidence=0.91)
  TruePositive nam [23,23] = Gdańsku (confidence=0.99)
  TruePositive nam [38,40] = Cinema City Krewetka (confidence=1.00)
  TruePositive nam [42,43] = Wlk Młyny (confidence=0.95)
  TruePositive nam [45,45] = Podmłyńska (confidence=0.92)
  TruePositive nam [47,47] = Pańska (confidence=0.52)
  TruePositive nam [49,49] = Węglarska (confidence=0.73)
  TruePositive nam [51,51] = Tkacka (confidence=0.81)
  TruePositive nam [53,53] = Długa (confidence=0.74)
  TruePositive nam [55,55] = Neptun (confidence=0.99)
  TruePositive nam [72,72] = CCCP (confidence=0.95)
  TruePositive nam [80,81] = Związku Radzieckiego (confidence=0.72)

(ChunkerEvaluator) Sentence #988 from 00103678 from sent6

Text  : Propagowanie systemu totalitarnego w ujęciu art . 256 kodeksu karnego oznacza -_ jak wskazują orzeczenia polskich sądów (_ w_ tym uchwała Sądu Najwyższego z_ dnia 28 marca 2002 r_ ._ )_ -_ każde zachowanie polegające na publicznym prezentowaniu ,_ z_ zamiarem przekonania do niego ,_ faszystowskiego lub innego totalitarnego państwa odpowiedzialności karnej podlega nie tylko ten ,_ kto publicznie pochwala i_ w_ ten sposób propaguje rządy totalitarne ,_ ale także ten ,_ kto publicznie prezentuje symbole lub gesty nawiązujące do ustrojów totalitarnych ._
Tokens: 1___________ 2______ 3____________ 4 5_____ 6__ 7 8__ 9______ 10_____ 11_____ 12 13_ 14______ 15________ 16______ 17___ 18 19 20_ 21_____ 22__ 23_________ 24 25__ 26 27___ 28__ 29 30 31 32 33___ 34________ 35________ 36 37________ 38___________ 39 40 41______ 42_________ 43 44___ 45 46_____________ 47_ 48____ 49___________ 50_____ 51_______________ 52____ 53_____ 54_ 55___ 56_ 57 58_ 59________ 60______ 61 62 63_ 64____ 65_______ 66___ 67_________ 68 69_ 70___ 71_ 72 73_ 74________ 75________ 76_____ 77_ 78___ 79_________ 80 81______ 82___________ 83

Chunks:
  TruePositive nam [22,23] = Sądu Najwyższego (confidence=1.00)

(ChunkerEvaluator) Sentence #989 from 00103678 from sent7

Text  : Wobec podniesionych okoliczności , żądam wszczęcia i przeprowadzenia stosownego postępowania w_ powyższym zakresie ._
Tokens: 1____ 2____________ 3___________ 4 5____ 6________ 7 8______________ 9_________ 10__________ 11 12_______ 13______ 14

Chunks:

(ChunkerEvaluator) Sentence #990 from 00103678 from sent8

Text  : Grzegorz Sielatycki
Tokens: 1_______ 2_________

Chunks:
  TruePositive nam [1,2] = Grzegorz Sielatycki (confidence=1.00)

2017-06-14 20:27:44,635 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 62 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103713.xml
(ChunkerEvaluator) Sentence #991 from 00103713 from sent1

Text  : Z wielką radością oznajmiamy , że wystartowała 16 . edycja MAM Forum Pismaków –_ konkursu dla młodych dziennikarzy ,_ premiującego kreatywność ,_ samodzielność myślenia i_ podejmowania decyzji oraz solidny warsztat dziennikarski ._
Tokens: 1 2_____ 3_______ 4_________ 5 6_ 7___________ 8_ 9 10____ 11_ 12___ 13______ 14 15______ 16_ 17_____ 18__________ 19 20__________ 21_________ 22 23___________ 24______ 25 26__________ 27_____ 28__ 29_____ 30______ 31___________ 32

Chunks:
  TruePositive nam [11,13] = MAM Forum Pismaków (confidence=1.00)

(ChunkerEvaluator) Sentence #992 from 00103713 from sent2

Text  : Jak co roku , na konkurs można zgłosić tradycyjne szkolne gazety drukowane :_
Tokens: 1__ 2_ 3___ 4 5_ 6______ 7____ 8______ 9_________ 10_____ 11____ 12_______ 13

Chunks:

(ChunkerEvaluator) Sentence #993 from 00103713 from sent3

Text  : gazety klas IV - VI szkół podstawowych ;
Tokens: 1_____ 2___ 3_ 4 5_ 6____ 7___________ 8

Chunks:

(ChunkerEvaluator) Sentence #994 from 00103713 from sent4

Text  : gazety gimnazjalne ;
Tokens: 1_____ 2__________ 3

Chunks:

(ChunkerEvaluator) Sentence #995 from 00103713 from sent5

Text  : gazety ponadgimnazjalne ;
Tokens: 1_____ 2_______________ 3

Chunks:

(ChunkerEvaluator) Sentence #996 from 00103713 from sent6

Text  : gazety szkolno - środowiskowe ;
Tokens: 1_____ 2______ 3 4___________ 5

Chunks:

(ChunkerEvaluator) Sentence #997 from 00103713 from sent7

Text  : Tematem 16 . edycji Forum Pismaków jest wolontariat – by spełnić wymogi konkursu ,_ wymagane jest poświęcenie zagadnieniu przynajmniej jednego zgłoszonego wydania gazety ._
Tokens: 1______ 2_ 3 4_____ 5____ 6_______ 7___ 8__________ 9 10 11_____ 12____ 13______ 14 15______ 16__ 17_________ 18_________ 19__________ 20_____ 21_________ 22_____ 23____ 24

Chunks:
  TruePositive nam [5,6] = Forum Pismaków (confidence=0.98)

(ChunkerEvaluator) Sentence #998 from 00103713 from sent8

Text  : Bez zmian pozostaje kategoria artykułów indywidualnych - każda redakcja może zgłosić maksymalnie dwoje autorów dwóch tekstów ._
Tokens: 1__ 2____ 3________ 4________ 5________ 6_____________ 7 8____ 9_______ 10__ 11_____ 12_________ 13___ 14_____ 15___ 16_____ 17

Chunks:

(ChunkerEvaluator) Sentence #999 from 00103713 from sent9

Text  : Nowością na Forum Pismaków jest poszerzony blok multimedialny .
Tokens: 1_______ 2_ 3____ 4_______ 5___ 6_________ 7___ 8____________ 9

Chunks:
  TruePositive nam [3,4] = Forum Pismaków (confidence=1.00)

(ChunkerEvaluator) Sentence #1000 from 00103713 from sent10

Text  : Na tegoroczny konkurs zgłosić można :
Tokens: 1_ 2_________ 3______ 4______ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #1001 from 00103713 from sent11

Text  : qmam ( e - gazetę złożoną na stronę mam.media.pl )_ tematyczny podejmujący problematykę bezpieczeństwa w_ sieci ;_
Tokens: 1___ 2 3 4 5_____ 6______ 7_ 8_____ 9___________ 10 11________ 12_________ 13__________ 14____________ 15 16___ 17

Chunks:
  TruePositive nam [9,9] = mam.media.pl (confidence=0.99)

(ChunkerEvaluator) Sentence #1002 from 00103713 from sent12

Text  : materiał filmowy o tematyce podejmującej przynajmniej jedno z podanych niżej zagadnień :_ wolontariat ,_ aktywność społeczną i_ kulturalną młodzieży ,_ problemy młodzieży ,_ logicznie powiązany skrót materiałów newsowych ;_
Tokens: 1_______ 2______ 3 4_______ 5___________ 6___________ 7____ 8 9_______ 10___ 11_______ 12 13_________ 14 15_______ 16_______ 17 18________ 19_______ 20 21______ 22_______ 23 24_______ 25_______ 26___ 27________ 28_______ 29

Chunks:

(ChunkerEvaluator) Sentence #1003 from 00103713 from sent13

Text  : > oficjalną internetową witrynę szkoły .
Tokens: 1 2________ 3__________ 4______ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #1004 from 00103713 from sent14

Text  : Termin nadsyłania zgłoszeń to 15 . stycznia , a prace można wysyłać do 31 ._ stycznia ._
Tokens: 1_____ 2_________ 3_______ 4_ 5_ 6 7_______ 8 9 10___ 11___ 12_____ 13 14 15 16______ 17

Chunks:

(ChunkerEvaluator) Sentence #1005 from 00103713 from sent15

Text  : Formularz rejestracyjny znajduje się na stronie www.forumpismakow.pl/rejestracja , a regulamin z_ dokładnym opisem kategorii i_ sposobów nadsyłania prac na www.forumpismakow.pl/regulamin ._
Tokens: 1________ 2____________ 3_______ 4__ 5_ 6______ 7_______________________________ 8 9 10_______ 11 12_______ 13____ 14_______ 15 16______ 17________ 18__ 19 20____________________________ 21

Chunks:
  FalseNegative nam [7,7] = www.forumpismakow.pl/rejestracja
  FalseNegative nam [20,20] = www.forumpismakow.pl/regulamin

2017-06-14 20:27:44,692 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 63 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103874.xml
(ChunkerEvaluator) Sentence #1006 from 00103874 from sent1

Text  : Kto zrozumie szlaki ptaków niebieskich , kto wytropi niedźwiedzia w_ górach ,_ kto przetłumaczy mowę płazów ?_
Tokens: 1__ 2_______ 3_____ 4_____ 5__________ 6 7__ 8______ 9___________ 10 11____ 12 13_ 14__________ 15__ 16____ 17

Chunks:

(ChunkerEvaluator) Sentence #1007 from 00103874 from sent2

Text  : Ten , który był od początku , Stwórca wszechrzeczy ,_ on jest wszechwiedzący ._
Tokens: 1__ 2 3____ 4__ 5_ 6_______ 7 8______ 9___________ 10 11 12__ 13____________ 14

Chunks:
  TruePositive nam [8,8] = Stwórca (confidence=0.96)

(ChunkerEvaluator) Sentence #1008 from 00103874 from sent3

Text  : Śpiewają u nas dziwne pieśni o Drzewie Życia – jak z_ małego ziarenka urosło w_ potężny Cis ,_ jak z_ Nicości stworzyło Przestrzeń i_ Czas ._
Tokens: 1_______ 2 3__ 4_____ 5_____ 6 7______ 8____ 9 10_ 11 12____ 13______ 14____ 15 16_____ 17_ 18 19_ 20 21_____ 22_______ 23________ 24 25__ 26

Chunks:
  TruePositive nam [17,17] = Cis (confidence=1.00)
  FalsePositive nam [7,8] = Drzewie Życia (confidence=0.73) (incorrect boundry)
  FalsePositive nam [21,21] = Nicości (confidence=0.98) (incorrect boundry)
  FalsePositive nam [23,23] = Przestrzeń (confidence=0.93) (incorrect boundry)
  FalsePositive nam [25,25] = Czas (confidence=0.91) (incorrect boundry)

(ChunkerEvaluator) Sentence #1009 from 00103874 from sent4

Text  : Z jego szyszek wyrosły wszystkie drzewa srebrnego ogrodu .
Tokens: 1 2___ 3______ 4______ 5________ 6_____ 7________ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #1010 from 00103874 from sent5

Text  : Z jego igieł powstały iły ziemi .
Tokens: 1 2___ 3____ 4_______ 5__ 6____ 7

Chunks:

(ChunkerEvaluator) Sentence #1011 from 00103874 from sent6

Text  : Z jego oddechu powietrze i przeczyste chmury .
Tokens: 1 2___ 3______ 4________ 5 6_________ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #1012 from 00103874 from sent7

Text  : Gdy w ciemności drugiej rosły srebrne drzewa , nagie były jak pnie zimowe ._
Tokens: 1__ 2 3________ 4______ 5____ 6______ 7_____ 8 9____ 10__ 11_ 12__ 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #1013 from 00103874 from sent8

Text  : Gdy po upadku świateł , nieboskłon wsparły srebrne buki ,_ nie było jeszcze istot żywych ,_ które by pod niebem sklepionym chodziły ._
Tokens: 1__ 2_ 3_____ 4______ 5 6_________ 7______ 8______ 9___ 10 11_ 12__ 13_____ 14___ 15____ 16 17___ 18 19_ 20____ 21________ 22______ 23

Chunks:

(ChunkerEvaluator) Sentence #1014 from 00103874 from sent9

Text  : Gdy u zarania świata Stwórca i Twórca zapełnili przestrzeń buczyną ,_ nie było na czarnym okręgu nieba gwiazd ni księżyców ._
Tokens: 1__ 2 3______ 4_____ 5______ 6 7_____ 8________ 9_________ 10_____ 11 12_ 13__ 14 15_____ 16____ 17___ 18____ 19 20_______ 21

Chunks:
  TruePositive nam [5,5] = Stwórca (confidence=1.00)
  TruePositive nam [7,7] = Twórca (confidence=0.99)

(ChunkerEvaluator) Sentence #1015 from 00103874 from sent10

Text  : Jeszcze Oses nie odmierzał czasu , jeszcze Glois nie ścigał kuzyna ._
Tokens: 1______ 2___ 3__ 4________ 5____ 6 7______ 8____ 9__ 10____ 11____ 12

Chunks:
  TruePositive nam [2,2] = Oses (confidence=0.98)
  TruePositive nam [8,8] = Glois (confidence=1.00)

(ChunkerEvaluator) Sentence #1016 from 00103874 from sent11

Text  : Nie było Białego Jelenia Querkunu , ani Ptaka Mendinu ,_ w_ ciemnych wodach ,_ które z_ chmur spływały na ziemię ,_ nie przeciskał się Siluri Sum ._
Tokens: 1__ 2___ 3______ 4______ 5_______ 6 7__ 8____ 9______ 10 11 12______ 13____ 14 15___ 16 17___ 18______ 19 20____ 21 22_ 23________ 24_ 25____ 26_ 27

Chunks:
  TruePositive nam [3,5] = Białego Jelenia Querkunu (confidence=1.00)
  TruePositive nam [8,9] = Ptaka Mendinu (confidence=1.00)
  TruePositive nam [25,26] = Siluri Sum (confidence=1.00)

(ChunkerEvaluator) Sentence #1017 from 00103874 from sent12

Text  : Trzech i Czworo jeszcze nie powstało , a cień nieprzenikniony zalegał po raz wtóry nad światem ._
Tokens: 1_____ 2 3_____ 4______ 5__ 6_______ 7 8 9___ 10_____________ 11_____ 12 13_ 14___ 15_ 16_____ 17

Chunks:
  FalsePositive nam [3,3] = Czworo (confidence=0.85) (incorrect boundry)

(ChunkerEvaluator) Sentence #1018 from 00103874 from sent13

Text  : Wszechwiedzący wszystko to planował w swej dobroci , ale żadna z_ tych rzeczy jeszcze nie nadeszła ._
Tokens: 1_____________ 2_______ 3_ 4_______ 5 6___ 7______ 8 9__ 10___ 11 12__ 13____ 14_____ 15_ 16______ 17

Chunks:
  FalseNegative nam [1,1] = Wszechwiedzący

(ChunkerEvaluator) Sentence #1019 from 00103874 from sent14

Text  : Kto wie , skąd wzięły się liście podniebne , kto wie ,_ jak urosły drzewom srebrne pióra ,_ kto zgadnie ,_ dlaczego nagie były drzewa w_ ciemnościach drugich ?_ …_
Tokens: 1__ 2__ 3 4___ 5_____ 6__ 7_____ 8________ 9 10_ 11_ 12 13_ 14____ 15_____ 16_____ 17___ 18 19_ 20_____ 21 22______ 23___ 24__ 25____ 26 27__________ 28_____ 29 30

Chunks:

2017-06-14 20:27:44,753 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 64 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103898.xml
(ChunkerEvaluator) Sentence #1020 from 00103898 from sent1

Text  : Jednym z miejsc , bez którego odwiedzenia nie można opuścić Cali jest El Despiste ,_ baro -_ restauracja ,_ znana z_ najpyszniejszych kotletów na świecie ._
Tokens: 1_____ 2 3_____ 4 5__ 6______ 7__________ 8__ 9____ 10_____ 11__ 12__ 13 14______ 15 16__ 17 18_________ 19 20___ 21 22______________ 23______ 24 25_____ 26

Chunks:
  TruePositive nam [11,11] = Cali (confidence=0.98)
  TruePositive nam [13,14] = El Despiste (confidence=1.00)

(ChunkerEvaluator) Sentence #1021 from 00103898 from sent2

Text  : I nie tylko pysznych , ale i największych .
Tokens: 1 2__ 3____ 4_______ 5 6__ 7 8___________ 9

Chunks:

(ChunkerEvaluator) Sentence #1022 from 00103898 from sent3

Text  : Klientelę El Despiste stanowią kierowcy ciężarówek , powracające z licznych w_ Cali moteli pary i_ głodni muzycy ,_ po zagraniu nocnej serenady ._
Tokens: 1________ 2_ 3_______ 4_______ 5_______ 6_________ 7 8__________ 9 10______ 11 12__ 13____ 14__ 15 16____ 17____ 18 19 20______ 21____ 22______ 23

Chunks:
  TruePositive nam [2,3] = El Despiste (confidence=0.97)
  TruePositive nam [12,12] = Cali (confidence=0.56)

(ChunkerEvaluator) Sentence #1023 from 00103898 from sent4

Text  : W drzwiach wita nas ochroniarz , starszy pan w okularach słonecznych z_ kijem baseballowym w_ ręce ._
Tokens: 1 2_______ 3___ 4__ 5_________ 6 7______ 8__ 9 10_______ 11_________ 12 13___ 14__________ 15 16__ 17

Chunks:

(ChunkerEvaluator) Sentence #1024 from 00103898 from sent5

Text  : Wnętrze lokalu nie jest zbyt atrakcyjne i przypomina jeden z_ tych charakterystycznych barów dworcowych :_ papierowe lampy ,_ powykrzywiane upływem lat plastikowe wentylatory ,_ liczne stoły przykryte czerwonymi obrusami ,_ trochę z_ innej epoki ._
Tokens: 1______ 2_____ 3__ 4___ 5___ 6_________ 7 8_________ 9____ 10 11__ 12_________________ 13___ 14________ 15 16_______ 17___ 18 19___________ 20_____ 21_ 22________ 23_________ 24 25____ 26___ 27_______ 28________ 29______ 30 31____ 32 33___ 34___ 35

Chunks:

(ChunkerEvaluator) Sentence #1025 from 00103898 from sent6

Text  : W rogu , szafa z napisem : Pepsi – Cola ._
Tokens: 1 2___ 3 4____ 5 6______ 7 8____ 9 10__ 11

Chunks:
  FalsePositive nam [8,8] = Pepsi (confidence=1.00) (incorrect boundry)
  FalsePositive nam [10,10] = Cola (confidence=0.66) (incorrect boundry)
  FalseNegative nam [8,10] = Pepsi – Cola

(ChunkerEvaluator) Sentence #1026 from 00103898 from sent7

Text  : Malownicza jest również osoba kelnera .
Tokens: 1_________ 2___ 3______ 4____ 5______ 6

Chunks:

(ChunkerEvaluator) Sentence #1027 from 00103898 from sent8

Text  : To czarnoskóry mieszkaniec Cali , dobijający 70 - tki ,_ z_ ołówkiem za uchem ,_ kawową wełnianą kamizelką i_ krawatem ._
Tokens: 1_ 2__________ 3__________ 4___ 5 6_________ 7_ 8 9__ 10 11 12______ 13 14___ 15 16____ 17______ 18_______ 19 20______ 21

Chunks:
  TruePositive nam [4,4] = Cali (confidence=0.88)

(ChunkerEvaluator) Sentence #1028 from 00103898 from sent9

Text  : Przypomina mi on bohaterów filmu Wima Wenders ´ a :_ Buena Vista Social Club ,_ a_ szczególnie Ibrahima Ferrera ._
Tokens: 1_________ 2_ 3_ 4________ 5____ 6___ 7______ 8 9 10 11___ 12___ 13____ 14__ 15 16 17_________ 18______ 19_____ 20

Chunks:
  TruePositive nam [11,14] = Buena Vista Social Club (confidence=0.80)
  TruePositive nam [18,19] = Ibrahima Ferrera (confidence=1.00)
  FalsePositive nam [6,7] = Wima Wenders (confidence=0.98) (incorrect boundry)
  FalseNegative nam [6,9] = Wima Wenders ´ a

(ChunkerEvaluator) Sentence #1029 from 00103898 from sent10

Text  : Pracuje w tym miejscu prawie pół wieku i wszystko ,_ co robi ,_ wykonuje z_ wielką cierpliwością i_ zaangażowaniem ._
Tokens: 1______ 2 3__ 4______ 5_____ 6__ 7____ 8 9_______ 10 11 12__ 13 14______ 15 16____ 17___________ 18 19____________ 20

Chunks:

(ChunkerEvaluator) Sentence #1030 from 00103898 from sent11

Text  : Obsługuje klientów , zbiera zamówienia , przynosi dania i w_ końcu zjada swoją kolację …_ wszystko bardzo powoli ._
Tokens: 1________ 2_______ 3 4_____ 5_________ 6 7_______ 8____ 9 10 11___ 12___ 13___ 14_____ 15 16______ 17____ 18____ 19

Chunks:

(ChunkerEvaluator) Sentence #1031 from 00103898 from sent12

Text  : Ale to , co naprawdę pociąga w El Despiste ,_ to jego sławne danie ,_ kolumbijska chuleta ,_ czyli znany przez nas –_ kotlet ._
Tokens: 1__ 2_ 3 4_ 5_______ 6______ 7 8_ 9_______ 10 11 12__ 13____ 14___ 15 16_________ 17_____ 18 19___ 20___ 21___ 22_ 23 24____ 25

Chunks:
  TruePositive nam [8,9] = El Despiste (confidence=1.00)

(ChunkerEvaluator) Sentence #1032 from 00103898 from sent13

Text  : Ma on prawie pół metra długości i jest przepyszny ._
Tokens: 1_ 2_ 3_____ 4__ 5____ 6_______ 7 8___ 9_________ 10

Chunks:

(ChunkerEvaluator) Sentence #1033 from 00103898 from sent14

Text  : Podaje się go z ryżem , sałatką i cidrą ,_ która jest bulwą przypominającą nasze ziemniaki ._
Tokens: 1_____ 2__ 3_ 4 5____ 6 7______ 8 9____ 10 11___ 12__ 13___ 14____________ 15___ 16_______ 17

Chunks:

(ChunkerEvaluator) Sentence #1034 from 00103898 from sent15

Text  : Danie jest tak duże , że swobodnie wystarcza dla dwóch osób ._
Tokens: 1____ 2___ 3__ 4___ 5 6_ 7________ 8________ 9__ 10___ 11__ 12

Chunks:
  FalsePositive nam [1,1] = Danie (confidence=0.62) (incorrect boundry)

(ChunkerEvaluator) Sentence #1035 from 00103898 from sent16

Text  : I powtarzam – to prawdziwa rewelacja .
Tokens: 1 2________ 3 4_ 5________ 6________ 7

Chunks:

2017-06-14 20:27:44,824 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 65 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103914.xml
(ChunkerEvaluator) Sentence #1036 from 00103914 from sent1

Text  : W wielu modelach urbanistycznych symbolem władzy i wielkości miasta ,_ która nadaje mu charakter metropolii ,_ są wysokie budynki ,_ tak zwane drapacze chmur ._
Tokens: 1 2____ 3_______ 4______________ 5_______ 6_____ 7 8________ 9_____ 10 11___ 12____ 13 14_______ 15________ 16 17 18_____ 19_____ 20 21_ 22___ 23______ 24___ 25

Chunks:

(ChunkerEvaluator) Sentence #1037 from 00103914 from sent2

Text  : Bogota nie jest miastem drapaczy , ale jak każde nowoczesne i_ szanujące się miasto posiada kilka wysokich budynków ._
Tokens: 1_____ 2__ 3___ 4______ 5_______ 6 7__ 8__ 9____ 10________ 11 12_______ 13_ 14____ 15_____ 16___ 17______ 18______ 19

Chunks:
  TruePositive nam [1,1] = Bogota (confidence=0.90)

(ChunkerEvaluator) Sentence #1038 from 00103914 from sent3

Text  : Najwyższym z nich jest sławna Wieża Colpatria licząca 192 metry ,_ która obok Wzgórza Monserrate ,_ Placu Boliwara ,_ Muzeum Maloca ,_ Parku Szymona Boliwara i_ Candelarii walczy o_ bycie symbolem miasta ._
Tokens: 1_________ 2 3___ 4___ 5_____ 6____ 7________ 8______ 9__ 10___ 11 12___ 13__ 14_____ 15________ 16 17___ 18______ 19 20____ 21____ 22 23___ 24_____ 25______ 26 27________ 28____ 29 30___ 31______ 32____ 33

Chunks:
  TruePositive nam [6,7] = Wieża Colpatria (confidence=0.93)
  TruePositive nam [14,15] = Wzgórza Monserrate (confidence=1.00)
  TruePositive nam [17,18] = Placu Boliwara (confidence=1.00)
  TruePositive nam [20,21] = Muzeum Maloca (confidence=1.00)
  TruePositive nam [23,25] = Parku Szymona Boliwara (confidence=0.88)
  TruePositive nam [27,27] = Candelarii (confidence=0.98)

(ChunkerEvaluator) Sentence #1039 from 00103914 from sent4

Text  : Wieża Colpatria nie jest budynkiem ładnym .
Tokens: 1____ 2________ 3__ 4___ 5________ 6_____ 7

Chunks:
  TruePositive nam [1,2] = Wieża Colpatria (confidence=1.00)

(ChunkerEvaluator) Sentence #1040 from 00103914 from sent5

Text  : Mieści się na ulicy 26 z 7 , dokładnie tam ,_ gdzie spotyka się Bogota kolonialna i_ nowoczesna ._
Tokens: 1_____ 2__ 3_ 4____ 5_ 6 7 8 9________ 10_ 11 12___ 13_____ 14_ 15____ 16________ 17 18________ 19

Chunks:
  TruePositive nam [15,15] = Bogota (confidence=0.94)
  FalsePositive nam [5,5] = 26 (confidence=0.62) (incorrect boundry)

(ChunkerEvaluator) Sentence #1041 from 00103914 from sent6

Text  : Z jej tarasu , umieszczonego na 49 piętrze , rozciąga się piękna panorama stolicy :_ od północy ,_ anten Suba i_ nowych ,_ wiejskich granic miasta ,_ aż po południe i_ dzielnice tzw ._ inwazji ,_ takie jak Ciudad Bolívar ;_ od wschodu i_ wysokich gór ,_ które obejmują Bogotę ,_ aż po południe i_ lotnisko ._
Tokens: 1 2__ 3_____ 4 5____________ 6_ 7_ 8______ 9 10______ 11_ 12____ 13______ 14_____ 15 16 17_____ 18 19___ 20__ 21 22____ 23 24_______ 25____ 26____ 27 28 29 30______ 31 32_______ 33_ 34 35_____ 36 37___ 38_ 39____ 40_____ 41 42 43_____ 44 45______ 46_ 47 48___ 49______ 50____ 51 52 53 54______ 55 56______ 57

Chunks:
  TruePositive nam [20,20] = Suba (confidence=0.88)
  TruePositive nam [39,40] = Ciudad Bolívar (confidence=1.00)
  TruePositive nam [50,50] = Bogotę (confidence=1.00)

(ChunkerEvaluator) Sentence #1042 from 00103914 from sent7

Text  : Wrażenie bycia tam , na górze , na 49 piętrze bliżej gwiazd ,_ zmusza nas do wyobrażenia sobie tej ogromnej pustej przestrzeni ,_ jaką musiał zobaczyć w_ 1538 r_ ._ założyciel tego miasta –_ Jiménez de Quesada ._
Tokens: 1_______ 2____ 3__ 4 5_ 6____ 7 8_ 9_ 10_____ 11____ 12____ 13 14____ 15_ 16 17_________ 18___ 19_ 20______ 21____ 22_________ 23 24__ 25____ 26______ 27 28__ 29 30 31________ 32__ 33____ 34 35_____ 36 37_____ 38

Chunks:
  TruePositive nam [35,37] = Jiménez de Quesada (confidence=0.98)

(ChunkerEvaluator) Sentence #1043 from 00103914 from sent8

Text  : Dzisiaj , Wieża Colpatria służy nie tylko jako najwyższy taras widokowy w_ mieście ._
Tokens: 1______ 2 3____ 4________ 5____ 6__ 7____ 8___ 9________ 10___ 11______ 12 13_____ 14

Chunks:
  TruePositive nam [3,4] = Wieża Colpatria (confidence=0.99)

(ChunkerEvaluator) Sentence #1044 from 00103914 from sent9

Text  : Od kilku lat organizuje się tutaj jedyne mistrzostwa w Ameryce Łacińskiej w_ bieganiu po schodach ._
Tokens: 1_ 2____ 3__ 4_________ 5__ 6____ 7_____ 8__________ 9 10_____ 11________ 12 13______ 14 15______ 16

Chunks:
  TruePositive nam [10,11] = Ameryce Łacińskiej (confidence=1.00)

(ChunkerEvaluator) Sentence #1045 from 00103914 from sent10

Text  : Ostatnim zwycięzcą tych bogotańskich wyścigów został Francisco Sánchez , któremu wystarczyły zaledwie 5_ minut i_ 52 sekundy ,_ aby pokonać 980 stopni na szczyt Wieży Colpatria ._
Tokens: 1_______ 2________ 3___ 4___________ 5_______ 6_____ 7________ 8______ 9 10_____ 11_________ 12______ 13 14___ 15 16 17_____ 18 19_ 20_____ 21_ 22____ 23 24____ 25___ 26_______ 27

Chunks:
  TruePositive nam [7,8] = Francisco Sánchez (confidence=1.00)
  TruePositive nam [25,26] = Wieży Colpatria (confidence=0.99)

2017-06-14 20:27:44,889 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 66 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103924.xml
(ChunkerEvaluator) Sentence #1046 from 00103924 from sent1

Text  : Przybycie całkowicie spełniło pokładane w niej nadzieje .
Tokens: 1________ 2_________ 3_______ 4________ 5 6___ 7_______ 8

Chunks:

(ChunkerEvaluator) Sentence #1047 from 00103924 from sent2

Text  : Jest wyborem fikcyjnych , z jednym wyjątkiem napisanych przez samego Tótę ,_ wycinków prasowych dotyczących lądowania na terenie Węgier UFO ._
Tokens: 1___ 2______ 3_________ 4 5 6_____ 7________ 8_________ 9____ 10____ 11__ 12 13______ 14_______ 15_________ 16_______ 17 18_____ 19____ 20_ 21

Chunks:
  TruePositive nam [11,11] = Tótę (confidence=0.97)
  FalsePositive nam [19,20] = Węgier UFO (confidence=1.00) (incorrect boundry)
  FalseNegative nam [19,19] = Węgier
  FalseNegative nam [20,20] = UFO

(ChunkerEvaluator) Sentence #1048 from 00103924 from sent3

Text  : Sprawa , od razu uprzedzam , też zmyślona , więc ufolodzy mogą tu przestać czytać tę notkę ._
Tokens: 1_____ 2 3_ 4___ 5________ 6 7__ 8_______ 9 10__ 11______ 12__ 13 14______ 15____ 16 17___ 18

Chunks:

(ChunkerEvaluator) Sentence #1049 from 00103924 from sent4

Text  : Specjalnego smaczku dodaje moment lądowania UFO : jesteśmy w środku kampanii wyborczej 2006 roku słynnej z_ tego ,_ że przyniosła zwycięstwo rządzącemu Gyurcsányowi ,_ który po wyborach przyznał się do kłamstw w_ kampanii ,_ wziął się za zaciskanie pasa i_ szybko doczekał się widowiskowych zamieszek ale nie uprzedzajmy faktów ._
Tokens: 1__________ 2______ 3_____ 4_____ 5________ 6__ 7 8_______ 9 10____ 11______ 12_______ 13__ 14__ 15_____ 16 17__ 18 19 20________ 21________ 22________ 23__________ 24 25___ 26 27______ 28______ 29_ 30 31_____ 32 33______ 34 35___ 36_ 37 38________ 39__ 40 41____ 42______ 43_ 44___________ 45_______ 46_ 47_ 48_________ 49____ 50

Chunks:
  TruePositive nam [6,6] = UFO (confidence=0.89)
  TruePositive nam [23,23] = Gyurcsányowi (confidence=0.97)

(ChunkerEvaluator) Sentence #1050 from 00103924 from sent5

Text  : Skrótowo historia : w Hortobágy rozbija się , jak to początkowo informuje rząd ,_ samolot ._
Tokens: 1_______ 2_______ 3 4 5________ 6______ 7__ 8 9__ 10 11________ 12_______ 13__ 14 15_____ 16

Chunks:
  TruePositive nam [5,5] = Hortobágy (confidence=0.98)

(ChunkerEvaluator) Sentence #1051 from 00103924 from sent6

Text  : Amerykański - wojskowy - cywilny - przenoszący broń atomową -_ eksperymentalny -_ wszystkie te warianty pojawiają się w_ kolejnych komunikatach i_ doniesieniach prasowych aż w_ końcu okazuje się ,_ że to UFO ._
Tokens: 1__________ 2 3_______ 4 5______ 6 7__________ 8___ 9______ 10 11_____________ 12 13_______ 14 15______ 16_______ 17_ 18 19_______ 20__________ 21 22___________ 23_______ 24 25 26___ 27_____ 28_ 29 30 31 32_ 33

Chunks:
  TruePositive nam [32,32] = UFO (confidence=0.97)
  FalsePositive nam [1,1] = Amerykański (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #1052 from 00103924 from sent7

Text  : Zabrać je chcą Amerykanie , oddać chce Gyurcsány , protestuje przeciwko temu Orbán (_ "_ To nasze UFO ,_ węgierska Arka Przymierza "_ )_ ,_ publicyści komentują -_ Tóta nawet napisał charakterystyczny dla siebie antyklerykalny tekst związany z_ UFO a_ kościoły łamią sobie głowy co zrobić z_ problemem UFO (_ "_ Czy obcy są chrześcijanymi ?_ "_ ._
Tokens: 1_____ 2_ 3___ 4_________ 5 6____ 7___ 8________ 9 10________ 11_______ 12__ 13___ 14 15 16 17___ 18_ 19 20_______ 21__ 22________ 23 24 25 26________ 27_______ 28 29__ 30___ 31_____ 32_______________ 33_ 34____ 35____________ 36___ 37______ 38 39_ 40 41______ 42___ 43___ 44___ 45 46____ 47 48_______ 49_ 50 51 52_ 53__ 54 55____________ 56 57 58

Chunks:
  TruePositive nam [4,4] = Amerykanie (confidence=1.00)
  TruePositive nam [8,8] = Gyurcsány (confidence=0.99)
  TruePositive nam [13,13] = Orbán (confidence=0.93)
  TruePositive nam [18,18] = UFO (confidence=0.96)
  TruePositive nam [21,22] = Arka Przymierza (confidence=0.97)
  TruePositive nam [29,29] = Tóta (confidence=0.97)
  TruePositive nam [39,39] = UFO (confidence=0.99)
  TruePositive nam [49,49] = UFO (confidence=0.95)

(ChunkerEvaluator) Sentence #1053 from 00103924 from sent8

Text  : UFO otacza wojsko a wojsko otacza " żywy łańcuch "_ zwolenników Orbána ._
Tokens: 1__ 2_____ 3_____ 4 5_____ 6_____ 7 8___ 9______ 10 11_________ 12____ 13

Chunks:
  TruePositive nam [1,1] = UFO (confidence=1.00)
  TruePositive nam [12,12] = Orbána (confidence=0.99)

(ChunkerEvaluator) Sentence #1054 from 00103924 from sent9

Text  : Węgierscy komuniści piszą list do " pozaziemskich gości " zaczynający się od słów "_ Drodzy towarzysze UFO "_ ._
Tokens: 1________ 2________ 3____ 4___ 5_ 6 7____________ 8____ 9 10_________ 11_ 12 13__ 14 15____ 16________ 17_ 18 19

Chunks:
  TruePositive nam [17,17] = UFO (confidence=1.00)

(ChunkerEvaluator) Sentence #1055 from 00103924 from sent10

Text  : Amerykanie zaczynają grozić i twierdząc , że Węgrzy są matecznikiem terroryzmu zaczynają szykować inwazję ._
Tokens: 1_________ 2________ 3_____ 4 5________ 6 7_ 8_____ 9_ 10__________ 11________ 12_______ 13______ 14_____ 15

Chunks:
  TruePositive nam [1,1] = Amerykanie (confidence=0.91)
  TruePositive nam [8,8] = Węgrzy (confidence=1.00)

(ChunkerEvaluator) Sentence #1056 from 00103924 from sent11

Text  : W międzyczasie Rosja i Ukraina organizują wspólne manewry na granicy węgierskiej ._
Tokens: 1 2___________ 3____ 4 5______ 6_________ 7______ 8______ 9_ 10_____ 11_________ 12

Chunks:
  TruePositive nam [3,3] = Rosja (confidence=1.00)
  TruePositive nam [5,5] = Ukraina (confidence=1.00)

(ChunkerEvaluator) Sentence #1057 from 00103924 from sent12

Text  : Gdy amerykańskie bombowce są już w powietrzu , Gyurcsány płacze w_ telewizji i_ ucieka z_ kraju a_ bookmakerzy przyjmują zakłady ile minut minie od upadku pierwszych bomb do kapitulacji wojska węgierskiego ,_ cała historia kończy się nieoczekiwanie -_ jak ,_ nie zdradzę by nie odbierać przyjemności czytania dla tych ,_ którzy się za książkę wezmą ._
Tokens: 1__ 2___________ 3_______ 4_ 5__ 6 7________ 8 9________ 10____ 11 12_______ 13 14____ 15 16___ 17 18_________ 19_______ 20_____ 21_ 22___ 23___ 24 25____ 26________ 27__ 28 29_________ 30____ 31__________ 32 33__ 34______ 35____ 36_ 37____________ 38 39_ 40 41_ 42_____ 43 44_ 45______ 46__________ 47______ 48_ 49__ 50 51____ 52_ 53 54_____ 55___ 56

Chunks:
  TruePositive nam [9,9] = Gyurcsány (confidence=0.98)

(ChunkerEvaluator) Sentence #1058 from 00103924 from sent13

Text  : Perfekcyjnie dobrana czcionka i sposób łamania a także znakomita imitacja stylu poszczególnych organów prasowych daje złudzenie autentyczności ._
Tokens: 1___________ 2______ 3_______ 4 5_____ 6______ 7 8____ 9________ 10______ 11___ 12____________ 13_____ 14_______ 15__ 16_______ 17____________ 18

Chunks:

(ChunkerEvaluator) Sentence #1059 from 00103924 from sent14

Text  : Tóta stworzył wycinki z czterech głównych dzienników , paru tabloidów a_ także tygodników oraz niszowych czasopism ._
Tokens: 1___ 2_______ 3______ 4 5_______ 6_______ 7_________ 8 9___ 10_______ 11 12___ 13________ 14__ 15_______ 16_______ 17

Chunks:
  TruePositive nam [1,1] = Tóta (confidence=0.59)

2017-06-14 20:27:44,982 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 67 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103927.xml
(ChunkerEvaluator) Sentence #1060 from 00103927 from sent1

Text  : Jakiś czas temu podczas przechadzki po ósmej dzielnicy odkrył em tablicę upamiętniającą Kis Varsó –_ Małą Warszawę ,_ czyli epizod kiedy żydzi stawili zbrojny opór wobec próby ich wywózki ._
Tokens: 1____ 2___ 3___ 4______ 5__________ 6_ 7____ 8________ 9_____ 10 11_____ 12____________ 13_ 14___ 15 16__ 17______ 18 19___ 20____ 21___ 22___ 23_____ 24_____ 25__ 26___ 27___ 28_ 29_____ 30

Chunks:
  TruePositive nam [13,14] = Kis Varsó (confidence=1.00)
  TruePositive nam [16,17] = Małą Warszawę (confidence=0.42)
  FalseNegative nam [22,22] = żydzi

(ChunkerEvaluator) Sentence #1061 from 00103927 from sent2

Text  : Dostał on nazwę Mała Warszawa ponieważ miał być , rzecz jasna dużo mniejszym ,_ odpowiednikiem powstania w_ getcie warszawskim ._
Tokens: 1_____ 2_ 3____ 4___ 5_______ 6_______ 7___ 8__ 9 10___ 11___ 12__ 13_______ 14 15____________ 16_______ 17 18____ 19_________ 20

Chunks:
  TruePositive nam [4,5] = Mała Warszawa (confidence=0.99)

(ChunkerEvaluator) Sentence #1062 from 00103927 from sent3

Text  : Zainteresował em się sprawą bo był by to ciekawy i_ raczej chyba nieznany epizod w_ historii przyjaźni polsko -_ węgierskiej i_ zaczął em szukać informacji na ten temat ._
Tokens: 1____________ 2_ 3__ 4_____ 5_ 6__ 7_ 8_ 9______ 10 11____ 12___ 13______ 14____ 15 16______ 17_______ 18____ 19 20_________ 21 22____ 23 24____ 25________ 26 27_ 28___ 29

Chunks:

(ChunkerEvaluator) Sentence #1063 from 00103927 from sent4

Text  : W internecie w zasadzie niczego nie znalazł em poza wzmianką w_ poście na forum poświęconym militariom powtórzonym potem na innym blogu ._
Tokens: 1 2_________ 3 4_______ 5______ 6__ 7______ 8_ 9___ 10______ 11 12____ 13 14___ 15_________ 16________ 17_________ 18___ 19 20___ 21___ 22

Chunks:
  TruePositive nam [2,2] = internecie (confidence=0.98)

(ChunkerEvaluator) Sentence #1064 from 00103927 from sent5

Text  : Spytany kolega historyk napisał , że Kis Varsó wspomniano w_ książce Jenő Lévai z_ 1946 roku pt ._ Fekete könyv (_ strony 215 -_ 219 )_ oraz polecił mi Roba Rozetta z_ instytutu Yad Vashem jako eksperta w_ temacie ._
Tokens: 1______ 2_____ 3_______ 4______ 5 6_ 7__ 8____ 9_________ 10 11_____ 12__ 13___ 14 15__ 16__ 17 18 19____ 20___ 21 22____ 23_ 24 25_ 26 27__ 28_____ 29 30__ 31_____ 32 33_______ 34_ 35____ 36__ 37______ 38 39_____ 40

Chunks:
  TruePositive nam [7,8] = Kis Varsó (confidence=0.96)
  TruePositive nam [12,13] = Jenő Lévai (confidence=1.00)
  TruePositive nam [19,20] = Fekete könyv (confidence=1.00)
  TruePositive nam [30,31] = Roba Rozetta (confidence=1.00)
  TruePositive nam [34,35] = Yad Vashem (confidence=1.00)

(ChunkerEvaluator) Sentence #1065 from 00103927 from sent6

Text  : Rob Rozett , który w swoim czasie zajmował się badaniami nad żydowskim ruchem oporu w_ Budapeszcie ,_ odpisał ,_ że nigdy nie trafił na informacje dotyczących kis Varsó oraz ,_ że w_ archiwum Yad Vashem brak dokumentów na ten temat ._
Tokens: 1__ 2_____ 3 4____ 5 6____ 7_____ 8_______ 9__ 10_______ 11_ 12_______ 13____ 14___ 15 16_________ 17 18_____ 19 20 21___ 22_ 23____ 24 25________ 26_________ 27_ 28___ 29__ 30 31 32 33______ 34_ 35____ 36__ 37________ 38 39_ 40___ 41

Chunks:
  TruePositive nam [1,2] = Rob Rozett (confidence=1.00)
  TruePositive nam [16,16] = Budapeszcie (confidence=1.00)
  TruePositive nam [34,35] = Yad Vashem (confidence=1.00)
  FalsePositive nam [28,28] = Varsó (confidence=0.99) (incorrect boundry)
  FalseNegative nam [27,28] = kis Varsó

(ChunkerEvaluator) Sentence #1066 from 00103927 from sent7

Text  : Skontaktował mnie z László Csőszem z ośrodka Holocaustu w Budapeszcie ._
Tokens: 1___________ 2___ 3 4_____ 5______ 6 7______ 8_________ 9 10_________ 11

Chunks:
  TruePositive nam [4,5] = László Csőszem (confidence=1.00)
  TruePositive nam [8,8] = Holocaustu (confidence=0.97)
  TruePositive nam [10,10] = Budapeszcie (confidence=1.00)

(ChunkerEvaluator) Sentence #1067 from 00103927 from sent8

Text  : László Csősz , który w międzyczasie skonsultował moje pytanie z_ kolegami zajmującymi się tematem ,_ odpisał ,_ że w_ jego opinii kis Varsó to legenda miejska ._
Tokens: 1_____ 2____ 3 4____ 5 6___________ 7___________ 8___ 9______ 10 11______ 12_________ 13_ 14_____ 15 16_____ 17 18 19 20__ 21____ 22_ 23___ 24 25_____ 26_____ 27

Chunks:
  TruePositive nam [1,2] = László Csősz (confidence=1.00)
  FalsePositive nam [23,23] = Varsó (confidence=1.00) (incorrect boundry)
  FalseNegative nam [22,23] = kis Varsó

(ChunkerEvaluator) Sentence #1068 from 00103927 from sent9

Text  : Choć jest wiele informacji na tematu operacji strzałokrzyżowców w rejonie ulicy Népszínház ,_ placu Telekiego oraz sąsiednich ulic ,_ do której pretekstu miała dostarczyć właśnie kis Varsó to jednak na temat samego epizodu zbrojnego oporu nie ma żadnych informacji ._
Tokens: 1___ 2___ 3____ 4_________ 5_ 6_____ 7_______ 8________________ 9 10_____ 11___ 12________ 13 14___ 15_______ 16__ 17________ 18__ 19 20 21____ 22_______ 23___ 24________ 25_____ 26_ 27___ 28 29____ 30 31___ 32____ 33_____ 34_______ 35___ 36_ 37 38_____ 39________ 40

Chunks:
  TruePositive nam [12,12] = Népszínház (confidence=1.00)
  FalsePositive nam [14,15] = placu Telekiego (confidence=0.57) (incorrect boundry)
  FalsePositive nam [27,27] = Varsó (confidence=1.00) (incorrect boundry)
  FalseNegative nam [15,15] = Telekiego
  FalseNegative nam [26,27] = kis Varsó

(ChunkerEvaluator) Sentence #1069 from 00103927 from sent10

Text  : Jego zdaniem legenda kis Varsó odpowiada na zapotrzebowanie na akt oporu przeciwko wywózkom zaprzeczający opinii o_ biernym poddaniu się eksterminacji przez żydów ._
Tokens: 1___ 2______ 3______ 4__ 5____ 6________ 7_ 8______________ 9_ 10_ 11___ 12_______ 13______ 14___________ 15____ 16 17_____ 18______ 19_ 20___________ 21___ 22___ 23

Chunks:
  FalsePositive nam [5,5] = Varsó (confidence=0.99) (incorrect boundry)
  FalseNegative nam [4,5] = kis Varsó
  FalseNegative nam [22,22] = żydów

(ChunkerEvaluator) Sentence #1070 from 00103927 from sent11

Text  : Spróbował em zdobyć jakieś informacje kontaktując się z Ivánem Beerem ,_ przewodniczącym Magyarországi Holocaust Emlékalapítvány (_ Węgierskiej Fundacji Upamiętnienia Holocaustu )_ ,_ która ufundowała tablicę ,_ ale nie odpowiedział na mój list ._
Tokens: 1________ 2_ 3_____ 4_____ 5_________ 6__________ 7__ 8 9_____ 10____ 11 12_____________ 13___________ 14_______ 15_____________ 16 17_________ 18______ 19___________ 20________ 21 22 23___ 24________ 25_____ 26 27_ 28_ 29__________ 30 31_ 32__ 33

Chunks:
  TruePositive nam [9,10] = Ivánem Beerem (confidence=1.00)
  TruePositive nam [13,15] = Magyarországi Holocaust Emlékalapítvány (confidence=1.00)
  TruePositive nam [17,20] = Węgierskiej Fundacji Upamiętnienia Holocaustu (confidence=0.83)

(ChunkerEvaluator) Sentence #1071 from 00103927 from sent12

Text  : Zaczął em więc szukać w literaturze .
Tokens: 1_____ 2_ 3___ 4_____ 5 6__________ 7

Chunks:

(ChunkerEvaluator) Sentence #1072 from 00103927 from sent13

Text  : Niczego nie znalazł em w pracach Randolpha L .
Tokens: 1______ 2__ 3______ 4_ 5 6______ 7________ 8 9

Chunks:
  FalsePositive nam [7,8] = Randolpha L (confidence=0.91) (incorrect boundry)
  FalseNegative nam [7,7] = Randolpha
  FalseNegative nam [8,9] = L .

(ChunkerEvaluator) Sentence #1073 from 00103927 from sent14

Text  : Brahama , znawcy tematu .
Tokens: 1______ 2 3_____ 4_____ 5

Chunks:
  FalseNegative nam [1,1] = Brahama

(ChunkerEvaluator) Sentence #1074 from 00103927 from sent15

Text  : Na pośrednią wzmiankę dotyczącą aktu oporu na ulicy Népszínház trafił em natomiast w_ książce Kingi Frojimovics ,_ Gézy Komoróczy ,_ Viktórii Pusztai i_ Andrei Strbik pt ._ Jewish Budapest ._
Tokens: 1_ 2________ 3_______ 4________ 5___ 6____ 7_ 8____ 9_________ 10____ 11 12_______ 13 14_____ 15___ 16_________ 17 18__ 19_______ 20 21______ 22_____ 23 24____ 25____ 26 27 28____ 29______ 30

Chunks:
  TruePositive nam [9,9] = Népszínház (confidence=1.00)
  TruePositive nam [15,16] = Kingi Frojimovics (confidence=1.00)
  TruePositive nam [18,19] = Gézy Komoróczy (confidence=1.00)
  TruePositive nam [21,22] = Viktórii Pusztai (confidence=1.00)
  TruePositive nam [24,25] = Andrei Strbik (confidence=1.00)
  TruePositive nam [28,29] = Jewish Budapest (confidence=0.99)

2017-06-14 20:27:45,076 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 68 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103935.xml
(ChunkerEvaluator) Sentence #1075 from 00103935 from sent1

Text  : Co jest przejawem szerszego skrzywienia debaty ( i polityki kulturowej )_ ,_ które świetnie zdiagnozował w_ czasie premiery naszego raportu dr Wojciech Machała ,_ prawnik z_ UW ._
Tokens: 1_ 2___ 3________ 4________ 5__________ 6_____ 7 8 9_______ 10________ 11 12 13___ 14______ 15__________ 16 17____ 18______ 19_____ 20_____ 21 22______ 23_____ 24 25_____ 26 27 28

Chunks:
  TruePositive nam [22,23] = Wojciech Machała (confidence=1.00)
  TruePositive nam [27,27] = UW (confidence=0.99)

(ChunkerEvaluator) Sentence #1076 from 00103935 from sent2

Text  : Mówił o tym , że system prawa autorskiego był dotychczas kształtowany wyłącznie w_ środowisku „_ dostawców ”_ treści (_ innymi słowy pośredników i_ twórców )_ –_ a_ dziś musi uwzględnić też zdanie „_ odbiorców ”_ (_ użytkowników )_ ._
Tokens: 1____ 2 3__ 4 5_ 6_____ 7____ 8__________ 9__ 10________ 11__________ 12_______ 13 14________ 15 16_______ 17 18____ 19 20____ 21___ 22_________ 23 24_____ 25 26 27 28__ 29__ 30________ 31_ 32____ 33 34_______ 35 36 37__________ 38 39

Chunks:

(ChunkerEvaluator) Sentence #1077 from 00103935 from sent3

Text  : W tych kategoriach można zrozumieć , na czym polega skandal z_ doborem partnerów do konsultacji ACTA przez MKiDN ._
Tokens: 1 2___ 3__________ 4____ 5________ 6 7_ 8___ 9_____ 10_____ 11 12_____ 13_______ 14 15_________ 16__ 17___ 18___ 19

Chunks:
  TruePositive nam [16,16] = ACTA (confidence=0.99)
  TruePositive nam [18,18] = MKiDN (confidence=0.98)

(ChunkerEvaluator) Sentence #1078 from 00103935 from sent4

Text  : Wkrótce będziemy mieć nagranie ze spotkania , dla mnie najciekawsze była w_ nim okazja do jednoczesnego pokazania perspektywy ,_ biznesowej ,_ „_ dostawców ”_ i_ perspektywy „_ użytkowników ”_ ._
Tokens: 1______ 2_______ 3___ 4_______ 5_ 6________ 7 8__ 9___ 10__________ 11__ 12 13_ 14____ 15 16___________ 17_______ 18_________ 19 20________ 21 22 23_______ 24 25 26_________ 27 28__________ 29 30

Chunks:

(ChunkerEvaluator) Sentence #1079 from 00103935 from sent5

Text  : Rozmowa pokazała , że te dwie perspektywy są zupełnie inne :_ te same cyfry pokazując relacje sprzedaży do kopiowania filmów są dla jednych dowodem nieetyczności odbiorców ,_ a_ dla drugich nieetyczności dostawców ._
Tokens: 1______ 2_______ 3 4_ 5_ 6___ 7__________ 8_ 9_______ 10__ 11 12 13__ 14___ 15_______ 16_____ 17_______ 18 19________ 20____ 21 22_ 23_____ 24_____ 25___________ 26_______ 27 28 29_ 30_____ 31___________ 32_______ 33

Chunks:

(ChunkerEvaluator) Sentence #1080 from 00103935 from sent6

Text  : Pokazały też dla mnie autentyczny problem modeli biznesowych , „_ związanych ”_ formalnościami ,_ koniecznością negocjacji licencji ,_ itd ._ –_ które w_ praktyce przegrywają pod względem aktualności i_ przystępności z_ ofertą nieformalną ._
Tokens: 1_______ 2__ 3__ 4___ 5__________ 6______ 7_____ 8__________ 9 10 11________ 12 13____________ 14 15___________ 16________ 17______ 18 19_ 20 21 22___ 23 24______ 25_________ 26_ 27______ 28_________ 29 30___________ 31 32____ 33_________ 34

Chunks:

(ChunkerEvaluator) Sentence #1081 from 00103935 from sent7

Text  : Przemysł wyraźnie próbuje bronić się kategorią jakości – szczególnie widoczną przy promocji telewizji cyfrowej ,_ ale internauci (_ co z_ kolei od dawna wiadomo ze względu na popularność fatalnego jakościowo formatu mp3 )_ rękami ,_ nogami i_ kopiami głosują na jakość „_ good enough ”_ )_ ._
Tokens: 1_______ 2_______ 3______ 4_____ 5__ 6________ 7______ 8 9__________ 10______ 11__ 12______ 13_______ 14______ 15 16_ 17________ 18 19 20 21___ 22 23___ 24_____ 25 26_____ 27 28_________ 29_______ 30________ 31_____ 32_ 33 34____ 35 36____ 37 38_____ 39_____ 40 41____ 42 43__ 44____ 45 46 47

Chunks:
  TruePositive nam [17,17] = internauci (confidence=0.76)
  TruePositive nam [32,32] = mp3 (confidence=0.80)

(ChunkerEvaluator) Sentence #1082 from 00103935 from sent8

Text  : I pod tym względem sieciowa , nieformalna konkurencja w pewnym stopniu jest konkurencją nieuczciwą ._
Tokens: 1 2__ 3__ 4_______ 5_______ 6 7__________ 8__________ 9 10____ 11_____ 12__ 13_________ 14________ 15

Chunks:

(ChunkerEvaluator) Sentence #1083 from 00103935 from sent9

Text  : Ale jednocześnie biznesowi można zarzucić nie dość odważne eksperymentowanie z_ nowymi modelami ,_ które już całkiem nieźle są rozpracowane ,_ i_ które mogą nową sytuację „_ oswoić ”_ ._
Tokens: 1__ 2___________ 3________ 4____ 5_______ 6__ 7___ 8______ 9________________ 10 11____ 12______ 13 14___ 15_ 16_____ 17____ 18 19__________ 20 21 22___ 23__ 24__ 25______ 26 27____ 28 29

Chunks:

(ChunkerEvaluator) Sentence #1084 from 00103935 from sent10

Text  : Głos z sali spytał dlaczego przemysł kopie ściągnięte i obejrzane w_ Sieci traktuje jako stratę ,_ a_ nie jako darmową promocję …_
Tokens: 1___ 2 3___ 4_____ 5_______ 6_______ 7____ 8_________ 9 10_______ 11 12___ 13______ 14__ 15____ 16 17 18_ 19__ 20_____ 21______ 22

Chunks:

(ChunkerEvaluator) Sentence #1085 from 00103935 from sent11

Text  : Oswajanie wydaje mi się tu kluczową sprawą .
Tokens: 1________ 2_____ 3_ 4__ 5_ 6_______ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #1086 from 00103935 from sent12

Text  : Kamil Przełęcki z Agory mówił na spotkaniu ( słusznie )_ o_ konieczności edukacji użytkowników ,_ by lepiej rozumieli kwestie prawne ,_ funkcjonowanie biznesu ,_ itd ._
Tokens: 1____ 2________ 3 4____ 5____ 6_ 7________ 8 9_______ 10 11 12__________ 13______ 14__________ 15 16 17____ 18_______ 19_____ 20____ 21 22____________ 23_____ 24 25_ 26

Chunks:
  TruePositive nam [1,2] = Kamil Przełęcki (confidence=1.00)
  TruePositive nam [4,4] = Agory (confidence=0.98)

(ChunkerEvaluator) Sentence #1087 from 00103935 from sent13

Text  : Ale chyba trzeba też sprawę odwrócić – biznes ( i_ jest to w_ jego własnym interesie )_ musi wyedukować się od użytkowników ._
Tokens: 1__ 2____ 3_____ 4__ 5_____ 6_______ 7 8_____ 9 10 11__ 12 13 14__ 15_____ 16_______ 17 18__ 19________ 20_ 21 22__________ 23

Chunks:

(ChunkerEvaluator) Sentence #1088 from 00103935 from sent14

Text  : Innymi słowy , potrzeba dyskusji .
Tokens: 1_____ 2____ 3 4_______ 5_______ 6

Chunks:

2017-06-14 20:27:45,169 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 69 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107240.xml
(ChunkerEvaluator) Sentence #1089 from 00107240 from sent1

Text  : 2005-03-21 : Terri Schiavo będzie żyła
Tokens: 1_________ 2 3____ 4______ 5_____ 6___

Chunks:
  TruePositive nam [3,4] = Terri Schiavo (confidence=0.99)

(ChunkerEvaluator) Sentence #1090 from 00107240 from sent2

Text  : George Bush , który specjalnie wrócił wcześniej z pobytu na swoim rancho w_ Crawford w_ stanie Teksas ,_ podpisał poprzedniego dnia rano uchwaloną przez Kongres USA nadzwyczajną ustawę ,_ dzięki której sprawa Terri Schiavo zostanie skierowana do sądu federalnego Stanów Zjednoczonych ._
Tokens: 1_____ 2___ 3 4____ 5_________ 6_____ 7________ 8 9_____ 10 11___ 12____ 13 14______ 15 16____ 17____ 18 19______ 20__________ 21__ 22__ 23_______ 24___ 25_____ 26_ 27__________ 28____ 29 30____ 31____ 32____ 33___ 34_____ 35______ 36________ 37 38__ 39_________ 40____ 41___________ 42

Chunks:
  TruePositive nam [1,2] = George Bush (confidence=1.00)
  TruePositive nam [14,14] = Crawford (confidence=1.00)
  TruePositive nam [17,17] = Teksas (confidence=1.00)
  TruePositive nam [33,34] = Terri Schiavo (confidence=1.00)
  TruePositive nam [40,41] = Stanów Zjednoczonych (confidence=1.00)
  FalsePositive nam [25,25] = Kongres (confidence=0.98) (incorrect boundry)
  FalsePositive nam [26,26] = USA (confidence=0.88) (incorrect boundry)
  FalseNegative nam [25,26] = Kongres USA

(ChunkerEvaluator) Sentence #1091 from 00107240 from sent3

Text  : Aparaturę podtrzymującą życie Terri Schiavo odłączono w piątek wieczorem zgodnie z_ wyrokiem sądu stanowego na Florydzie ._
Tokens: 1________ 2____________ 3____ 4____ 5______ 6________ 7 8_____ 9________ 10_____ 11 12______ 13__ 14_______ 15 16_______ 17

Chunks:
  TruePositive nam [4,5] = Terri Schiavo (confidence=1.00)
  TruePositive nam [16,16] = Florydzie (confidence=1.00)

2017-06-14 20:27:45,187 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 70 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107263.xml
(ChunkerEvaluator) Sentence #1092 from 00107263 from sent1

Text  : 2006-07-01 : Start Discovery przełożony
Tokens: 1_________ 2 3____ 4________ 5_________

Chunks:
  FalseNegative nam [4,4] = Discovery

(ChunkerEvaluator) Sentence #1093 from 00107263 from sent2

Text  : W sobotę o godzinie 19 : 42 UTC ( 11 minut przed zakończeniem okna startowego )_ podjęto decyzję o_ przełożeniu startu misji STS -_ 121 amerykańskiego wahadłowca Discovery o_ 24 godziny ._
Tokens: 1 2_____ 3 4_______ 5_ 6 7_ 8__ 9 10 11___ 12___ 13__________ 14__ 15________ 16 17_____ 18_____ 19 20_________ 21____ 22___ 23_ 24 25_ 26____________ 27________ 28_______ 29 30 31_____ 32

Chunks:
  TruePositive nam [8,8] = UTC (confidence=0.88)
  TruePositive nam [28,28] = Discovery (confidence=0.82)
  FalsePositive nam [23,23] = STS (confidence=0.96) (incorrect boundry)
  FalseNegative nam [23,25] = STS - 121

(ChunkerEvaluator) Sentence #1094 from 00107263 from sent3

Text  : 2 lipca okno startowe potrwa od 19 : 21 do 19 :_ 31 ._
Tokens: 1 2____ 3___ 4_______ 5_____ 6_ 7_ 8 9_ 10 11 12 13 14

Chunks:

(ChunkerEvaluator) Sentence #1095 from 00107263 from sent4

Text  : Powodem przełożenia startu jest niesprzyjająca pogoda .
Tokens: 1______ 2__________ 3_____ 4___ 5_____________ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #1096 from 00107263 from sent5

Text  : 2 lipca o godzinie 17 : 15 , niedługo po wejściu załogi na pokład promu ,_ podjęto decyzję o_ odłożeniu startu do 4_ lipca ,_ Powodem ponownie jest niesprzyjająca pogoda ._
Tokens: 1 2____ 3 4_______ 5_ 6 7_ 8 9_______ 10 11_____ 12____ 13 14____ 15___ 16 17_____ 18_____ 19 20_______ 21____ 22 23 24___ 25 26_____ 27______ 28__ 29____________ 30____ 31

Chunks:

2017-06-14 20:27:45,211 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 71 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107282.xml
(ChunkerEvaluator) Sentence #1097 from 00107282 from sent1

Text  : 2007-06-22 : Dania : nowe banknoty zamiast euro
Tokens: 1_________ 2 3____ 4 5___ 6_______ 7______ 8___

Chunks:
  TruePositive nam [3,3] = Dania (confidence=1.00)
  FalseNegative nam [8,8] = euro

(ChunkerEvaluator) Sentence #1098 from 00107282 from sent2

Text  : Narodowy Bank Danii zapowiedział zmianę wzorów i zabezpieczeń banknotów z_ duńskimi koronami ._
Tokens: 1_______ 2___ 3____ 4___________ 5_____ 6_____ 7 8___________ 9________ 10 11______ 12______ 13

Chunks:
  FalsePositive nam [2,3] = Bank Danii (confidence=0.91) (incorrect boundry)
  FalseNegative nam [1,3] = Narodowy Bank Danii
  FalseNegative nam [11,12] = duńskimi koronami

(ChunkerEvaluator) Sentence #1099 from 00107282 from sent3

Text  : Nowe banknoty pojawią się w obrocie na początku roku 2009 ._
Tokens: 1___ 2_______ 3______ 4__ 5 6______ 7_ 8_______ 9___ 10__ 11

Chunks:

(ChunkerEvaluator) Sentence #1100 from 00107282 from sent4

Text  : Na początku będzie to banknot o nominale 50 DKK ._
Tokens: 1_ 2_______ 3_____ 4_ 5______ 6 7_______ 8_ 9__ 10

Chunks:
  TruePositive nam [9,9] = DKK (confidence=0.68)

(ChunkerEvaluator) Sentence #1101 from 00107282 from sent5

Text  : Kolejne , coraz wyższe nominały będą wprowadzane sukcesywnie , aż do 1000 DKK w_ roku 2013 ._
Tokens: 1______ 2 3____ 4_____ 5_______ 6___ 7__________ 8__________ 9 10 11 12__ 13_ 14 15__ 16__ 17

Chunks:
  TruePositive nam [13,13] = DKK (confidence=0.77)

(ChunkerEvaluator) Sentence #1102 from 00107282 from sent6

Text  : Nowy wygląd banknotów zaprojektowała artystka Karin Birgitte Lund .
Tokens: 1___ 2_____ 3________ 4_____________ 5_______ 6____ 7_______ 8___ 9

Chunks:
  TruePositive nam [6,8] = Karin Birgitte Lund (confidence=1.00)

(ChunkerEvaluator) Sentence #1103 from 00107282 from sent7

Text  : Motywem przewodnim serii są mosty - na opublikowanych wzorach banknotów widać i_ uproszczone schematy techniczne tych konstrukcji i_ bliskie jakości fotograficznej obrazy obiektów ._
Tokens: 1______ 2_________ 3____ 4_ 5____ 6 7_ 8_____________ 9______ 10_______ 11___ 12 13_________ 14______ 15________ 16__ 17_________ 18 19_____ 20_____ 21____________ 22____ 23______ 24

Chunks:

(ChunkerEvaluator) Sentence #1104 from 00107282 from sent8

Text  : Według Torbena Nielsena , prezesa Narodowego Banku , wprowadzenie nowych wzorów jest konieczne ,_ gdyż postęp techniczny umożliwia coraz łatwiejsze podrabianie istniejących wersji banknotów za pomocą ogólnie dostępnych urządzeń takich jak skanery i_ drukarki ._
Tokens: 1_____ 2______ 3_______ 4 5______ 6_________ 7____ 8 9___________ 10____ 11____ 12__ 13_______ 14 15__ 16____ 17________ 18_______ 19___ 20________ 21_________ 22__________ 23____ 24_______ 25 26____ 27_____ 28________ 29______ 30____ 31_ 32_____ 33 34______ 35

Chunks:
  TruePositive nam [2,3] = Torbena Nielsena (confidence=1.00)
  TruePositive nam [6,7] = Narodowego Banku (confidence=0.87)

(ChunkerEvaluator) Sentence #1105 from 00107282 from sent9

Text  : Na forach internetowych pojawiły się głosy Duńczyków rozczarowanych faktem ,_ że nacisk kładzie się na opracowywanie nowych wzorów koron ,_ zamiast wprowadzić europejską walutę euro ._
Tokens: 1_ 2_____ 3____________ 4_______ 5__ 6____ 7________ 8_____________ 9_____ 10 11 12____ 13_____ 14_ 15 16___________ 17____ 18____ 19___ 20 21_____ 22________ 23________ 24____ 25__ 26

Chunks:
  TruePositive nam [7,7] = Duńczyków (confidence=0.94)
  FalseNegative nam [19,19] = koron
  FalseNegative nam [25,25] = euro

(ChunkerEvaluator) Sentence #1106 from 00107282 from sent10

Text  : Dania jednak nie wstąpiła do strefy euro wskutek negatywnego wyniku referendum w_ tej sprawie ._
Tokens: 1____ 2_____ 3__ 4_______ 5_ 6_____ 7___ 8______ 9__________ 10____ 11________ 12 13_ 14_____ 15

Chunks:
  TruePositive nam [1,1] = Dania (confidence=0.99)
  FalseNegative nam [7,7] = euro

(ChunkerEvaluator) Sentence #1107 from 00107282 from sent11

Text  : Źródła
Tokens: 1_____

Chunks:

(ChunkerEvaluator) Sentence #1108 from 00107282 from sent12

Text  : Kirstine Krefeld Berlingske Tidene , 22 czerwca 2007
Tokens: 1_______ 2______ 3_________ 4_____ 5 6_ 7______ 8___

Chunks:
  FalsePositive nam [1,4] = Kirstine Krefeld Berlingske Tidene (confidence=0.72) (incorrect boundry)
  FalseNegative nam [1,2] = Kirstine Krefeld
  FalseNegative nam [3,4] = Berlingske Tidene

(ChunkerEvaluator) Sentence #1109 from 00107282 from sent13

Text  : wzory nowych banknotów na stronie Narodowego Banku Danii
Tokens: 1____ 2_____ 3________ 4_ 5______ 6_________ 7____ 8____

Chunks:
  TruePositive nam [6,8] = Narodowego Banku Danii (confidence=1.00)

(ChunkerEvaluator) Sentence #1110 from 00107282 from sent14

Text  : Nye sedler ? Jeg vil have EURO ! - dyskusja na forum
Tokens: 1__ 2_____ 3 4__ 5__ 6___ 7___ 8 9 10______ 11 12___

Chunks:
  TruePositive nam [7,7] = EURO (confidence=0.73)

(ChunkerEvaluator) Sentence #1111 from 00107282 from sent15

Text  : Nye sedler skal stoppe svindel - Jyllands - Posten ,_ 20 stycznia 2007
Tokens: 1__ 2_____ 3___ 4_____ 5______ 6 7_______ 8 9_____ 10 11 12______ 13__

Chunks:
  TruePositive nam [7,9] = Jyllands - Posten (confidence=0.98)

2017-06-14 20:27:45,266 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 72 from 72: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107319.xml
(ChunkerEvaluator) Sentence #1112 from 00107319 from sent1

Text  : 2008-09-29 : PiS : zastopować plany resortu edukacji
Tokens: 1_________ 2 3__ 4 5_________ 6____ 7______ 8_______

Chunks:
  TruePositive nam [3,3] = PiS (confidence=0.98)

(ChunkerEvaluator) Sentence #1113 from 00107319 from sent2

Text  : Politycy Prawa i Sprawiedliwości poprą protest rodziców przeciwnych obniżeniu wieku szkolnego z_ 7_ do 6_ lat ._
Tokens: 1_______ 2____ 3 4______________ 5____ 6______ 7_______ 8__________ 9________ 10___ 11_______ 12 13 14 15 16_ 17

Chunks:
  TruePositive nam [2,4] = Prawa i Sprawiedliwości (confidence=1.00)

(ChunkerEvaluator) Sentence #1114 from 00107319 from sent3

Text  : Sprawa reformy oświatowej będzie traktowana przez PiS priorytetowo – czytamy w_ „_ Rzeczpospolitej ”_ ._
Tokens: 1_____ 2______ 3_________ 4_____ 5_________ 6____ 7__ 8___________ 9 10_____ 11 12 13_____________ 14 15

Chunks:
  TruePositive nam [7,7] = PiS (confidence=1.00)
  TruePositive nam [13,13] = Rzeczpospolitej (confidence=1.00)

(ChunkerEvaluator) Sentence #1115 from 00107319 from sent4

Text  : „ Szkoły nie są przygotowane do jednoczesnego wprowadzenia do nich sześciolatków ._
Tokens: 1 2_____ 3__ 4_ 5___________ 6_ 7____________ 8___________ 9_ 10__ 11___________ 12

Chunks:
  FalsePositive nam [2,2] = Szkoły (confidence=0.65) (incorrect boundry)

(ChunkerEvaluator) Sentence #1116 from 00107319 from sent5

Text  : Klasy będą zatłoczone , trzeba będzie wprowadzić zajęcia dodatkowe ”_ –_ ostrzega Przemysław Gosiewski ,_ szef Klubu PiS ._
Tokens: 1____ 2___ 3_________ 4 5_____ 6_____ 7_________ 8______ 9________ 10 11 12______ 13________ 14_______ 15 16__ 17___ 18_ 19

Chunks:
  TruePositive nam [13,14] = Przemysław Gosiewski (confidence=1.00)
  TruePositive nam [17,18] = Klubu PiS (confidence=0.91)

(ChunkerEvaluator) Sentence #1117 from 00107319 from sent6

Text  : Według gazety , na solidarności posłów z rodzicami przeciwnymi posłaniu o_ rok młodszych dzieci do podstawówek od 2009 r_ ._ partia Jarosława Kaczyńskiego może zyskać przychylność wyborców ._
Tokens: 1_____ 2_____ 3 4_ 5___________ 6_____ 7 8________ 9__________ 10______ 11 12_ 13_______ 14____ 15 16_________ 17 18__ 19 20 21____ 22_______ 23__________ 24__ 25____ 26__________ 27______ 28

Chunks:
  TruePositive nam [22,23] = Jarosława Kaczyńskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #1118 from 00107319 from sent7

Text  : W głównej mierze rodziców , którzy sprzeciwiają się planom oraz narzekają na brak woli debaty ze strony minister edukacji Katarzyny Hall ._
Tokens: 1 2______ 3_____ 4_______ 5 6_____ 7___________ 8__ 9_____ 10__ 11_______ 12 13__ 14__ 15____ 16 17____ 18______ 19______ 20_______ 21__ 22

Chunks:
  TruePositive nam [20,21] = Katarzyny Hall (confidence=0.99)

(ChunkerEvaluator) Sentence #1119 from 00107319 from sent8

Text  : MEN do tej pory nie zaprosiło ich reprezentantów na rozmowy ._
Tokens: 1__ 2_ 3__ 4___ 5__ 6________ 7__ 8_____________ 9_ 10_____ 11

Chunks:
  FalseNegative nam [1,1] = MEN

(ChunkerEvaluator) Sentence #1120 from 00107319 from sent9

Text  : Jak się okazuje , pomysł na wcześniejsze posłanie dzieci do podstawówek nie podoba się nie tylko ich rodzicom ,_ ale i_ dużej części polskiego społeczeństwa ._
Tokens: 1__ 2__ 3______ 4 5_____ 6_ 7___________ 8_______ 9_____ 10 11_________ 12_ 13____ 14_ 15_ 16___ 17_ 18______ 19 20_ 21 22___ 23____ 24_______ 25___________ 26

Chunks:

(ChunkerEvaluator) Sentence #1121 from 00107319 from sent10

Text  : Jak wynika z sondażu przeprowadzonego w zeszłym tygodniu dla „_ Forum ”_ w_ TVP ,_ tylko 31 proc ._ badanych popiera plany ministerstwa ,_ a_ aż 65 proc ._ badanych mówi „_ nie ”_ dla reformy oświatowej ._
Tokens: 1__ 2_____ 3 4______ 5_______________ 6 7______ 8_______ 9__ 10 11___ 12 13 14_ 15 16___ 17 18__ 19 20______ 21_____ 22___ 23__________ 24 25 26 27 28__ 29 30______ 31__ 32 33_ 34 35_ 36_____ 37________ 38

Chunks:
  TruePositive nam [11,11] = Forum (confidence=0.86)
  TruePositive nam [14,14] = TVP (confidence=1.00)

(ChunkerEvaluator) Sentence #1122 from 00107319 from sent11

Text  : Prawo i Sprawiedliwość chce plany minister zahamować .
Tokens: 1____ 2 3_____________ 4___ 5____ 6_______ 7________ 8

Chunks:
  TruePositive nam [1,3] = Prawo i Sprawiedliwość (confidence=0.98)

(ChunkerEvaluator) Sentence #1123 from 00107319 from sent12

Text  : W ostatecznym razie liczy na pomoc prezydenta Lecha Kaczyńskiego ,_ który ma zwołać posiedzenie z_ udziałem wszystkim uczestników konfliktu ._
Tokens: 1 2__________ 3____ 4____ 5_ 6____ 7_________ 8____ 9___________ 10 11___ 12 13____ 14_________ 15 16______ 17_______ 18_________ 19_______ 20

Chunks:
  TruePositive nam [8,9] = Lecha Kaczyńskiego (confidence=1.00)

======================================================================================
# Exact match evaluation -- annotation span and types evaluation
======================================================================================
        Annotation                     &      TP &      FP &      FN & Precision & Recall  & F$_1$   \\
\hline
        nam                            &     803 &     145 &     169 &    84.70% &  82.61% &  83.65% \\
\hline
        *TOTAL*                        &     803 &     145 &     169 &    84.70% &  82.61% &  83.65% \\


======================================================================================
# Annotation span evaluation (annotation types are ignored)
======================================================================================
        Annotation                     &      TP &      FP &      FN & Precision & Recall  & F$_1$   \\
\hline
        *TOTAL*                        &     803 &     145 &     169 &    84.70% &  82.61% &  83.65% \\


======================================================================================
# MUC match evaluation
======================================================================================
        Annotation                     &     COR &     ACT &     POS & Precision & Recall  & F$_1$   \\
\hline
        nam                            &    1697 &     199 &     235 &    89.50% &  87.84% &  88.66% \\
\hline
        *TOTAL*                        &    1697 &     199 &     235 &    89.50% &  87.84% &  88.66% \\


====================================================
Processing time
====================================================
1) Model loading        : --h 03m 04s (184897756403ns) 
2) Data reading         : --h --m 00s (181116171ns) 
3) Feature generation   : --h --m 00s (976878278ns) 
4) Chunking             : --h --m 01s (1991351630ns) 
5) Evaluation           : --h --m 02s (2059377022ns) (not in total time)
----------------------------------------------------
## Total time             --h 03m 08s (188047102482ns)
----------------------------------------------------
Tokens           :    19078
Text kB          :      111.98
Tokens  / second :      101.45
Text kB / second :        0.60
----------------------------------------------------
***************************************** FOLD 9 *****************************************
2017-06-14 20:27:45,330 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100527.xml
2017-06-14 20:27:45,336 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 2 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100531.xml
2017-06-14 20:27:45,344 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 3 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101201.xml
2017-06-14 20:27:45,347 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101234.xml
2017-06-14 20:27:45,371 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101263.xml
2017-06-14 20:27:45,397 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101276.xml
2017-06-14 20:27:45,400 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 7 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101294.xml
2017-06-14 20:27:45,417 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 8 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101306.xml
2017-06-14 20:27:45,438 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 9 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101317.xml
2017-06-14 20:27:45,440 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 10 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101350.xml
2017-06-14 20:27:45,447 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 11 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101392.xml
2017-06-14 20:27:45,469 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 12 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101395.xml
2017-06-14 20:27:45,480 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 13 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101398.xml
2017-06-14 20:27:45,483 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 14 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101399.xml
2017-06-14 20:27:45,489 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 15 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101414.xml
2017-06-14 20:27:45,496 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 16 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101434.xml
2017-06-14 20:27:45,507 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 17 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101457.xml
2017-06-14 20:27:45,511 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 18 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101467.xml
2017-06-14 20:27:45,514 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 19 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101480.xml
2017-06-14 20:27:45,518 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 20 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101496.xml
2017-06-14 20:27:45,531 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 21 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101498.xml
2017-06-14 20:27:45,533 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 22 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101514.xml
2017-06-14 20:27:45,560 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 23 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101560.xml
2017-06-14 20:27:45,585 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 24 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101597.xml
2017-06-14 20:27:45,605 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 25 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101607.xml
2017-06-14 20:27:45,630 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 26 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101612.xml
2017-06-14 20:27:45,659 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 27 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101615.xml
2017-06-14 20:27:45,689 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 28 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101741.xml
2017-06-14 20:27:45,715 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 29 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101770.xml
2017-06-14 20:27:45,740 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 30 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101852.xml
2017-06-14 20:27:45,752 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 31 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101868.xml
2017-06-14 20:27:45,754 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 32 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101949.xml
2017-06-14 20:27:45,768 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 33 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102054.xml
2017-06-14 20:27:45,778 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 34 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102109.xml
2017-06-14 20:27:45,787 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 35 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102141.xml
2017-06-14 20:27:45,813 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 36 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102166.xml
2017-06-14 20:27:45,825 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 37 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102354.xml
2017-06-14 20:27:45,849 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 38 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102438.xml
2017-06-14 20:27:45,852 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 39 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102509.xml
2017-06-14 20:27:45,857 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 40 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102512.xml
2017-06-14 20:27:45,867 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 41 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102602.xml
2017-06-14 20:27:45,888 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 42 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102677.xml
2017-06-14 20:27:45,901 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 43 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102685.xml
2017-06-14 20:27:45,903 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 44 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102689.xml
2017-06-14 20:27:45,921 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 45 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102702.xml
2017-06-14 20:27:45,931 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 46 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102707.xml
2017-06-14 20:27:45,952 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 47 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102715.xml
2017-06-14 20:27:45,957 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 48 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103567.xml
2017-06-14 20:27:45,990 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 49 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103570.xml
2017-06-14 20:27:46,033 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 50 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103581.xml
2017-06-14 20:27:46,056 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 51 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103594.xml
2017-06-14 20:27:46,065 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 52 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103746.xml
2017-06-14 20:27:46,066 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 53 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103872.xml
2017-06-14 20:27:46,078 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 54 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103875.xml
2017-06-14 20:27:46,091 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 55 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103895.xml
2017-06-14 20:27:46,099 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 56 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103900.xml
2017-06-14 20:27:46,122 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 57 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103915.xml
2017-06-14 20:27:46,129 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 58 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103937.xml
2017-06-14 20:27:46,148 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 59 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103938.xml
2017-06-14 20:27:46,169 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 60 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103945.xml
2017-06-14 20:27:46,189 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 61 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103956.xml
2017-06-14 20:27:46,207 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 62 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107245.xml
2017-06-14 20:27:46,216 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 63 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107269.xml
2017-06-14 20:27:46,223 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 64 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107306.xml
2017-06-14 20:27:46,232 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 65 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107313.xml
2017-06-14 20:27:46,244 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 66 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107320.xml
2017-06-14 20:27:46,252 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 67 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107321.xml
2017-06-14 20:27:46,260 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 68 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107329.xml
2017-06-14 20:27:46,270 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 69 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107334.xml
2017-06-14 20:27:46,275 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 70 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107347.xml
2017-06-14 20:27:46,285 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 71 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107351.xml
2017-06-14 20:27:46,302 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 72 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100519.xml
2017-06-14 20:27:46,315 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 73 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100524.xml
2017-06-14 20:27:46,326 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 74 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100607.xml
2017-06-14 20:27:46,338 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 75 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100634.xml
2017-06-14 20:27:46,352 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 76 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101169.xml
2017-06-14 20:27:46,366 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 77 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101178.xml
2017-06-14 20:27:46,369 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 78 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101186.xml
2017-06-14 20:27:46,386 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 79 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101242.xml
2017-06-14 20:27:46,390 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 80 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101275.xml
2017-06-14 20:27:46,416 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 81 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101303.xml
2017-06-14 20:27:46,424 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 82 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101310.xml
2017-06-14 20:27:46,427 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 83 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101393.xml
2017-06-14 20:27:46,436 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 84 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101397.xml
2017-06-14 20:27:46,439 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 85 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101416.xml
2017-06-14 20:27:46,443 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 86 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101431.xml
2017-06-14 20:27:46,465 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 87 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101462.xml
2017-06-14 20:27:46,476 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 88 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101476.xml
2017-06-14 20:27:46,478 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 89 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101495.xml
2017-06-14 20:27:46,486 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 90 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101518.xml
2017-06-14 20:27:46,519 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 91 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101546.xml
2017-06-14 20:27:46,541 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 92 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101570.xml
2017-06-14 20:27:46,557 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 93 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101579.xml
2017-06-14 20:27:46,586 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 94 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101598.xml
2017-06-14 20:27:46,615 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 95 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101603.xml
2017-06-14 20:27:46,638 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 96 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101639.xml
2017-06-14 20:27:46,667 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 97 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101792.xml
2017-06-14 20:27:46,675 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 98 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101875.xml
2017-06-14 20:27:46,688 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 99 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101899.xml
2017-06-14 20:27:46,707 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 100 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101910.xml
2017-06-14 20:27:46,727 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 101 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101938.xml
2017-06-14 20:27:46,752 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 102 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101945.xml
2017-06-14 20:27:46,782 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 103 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102016.xml
2017-06-14 20:27:46,803 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 104 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102032.xml
2017-06-14 20:27:46,815 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 105 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102045.xml
2017-06-14 20:27:46,819 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 106 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102076.xml
2017-06-14 20:27:46,827 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 107 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102077.xml
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2017-06-14 20:27:50,154 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 331 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103725.xml
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2017-06-14 20:27:50,160 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 333 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103911.xml
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2017-06-14 20:27:50,191 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 335 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103950.xml
2017-06-14 20:27:50,213 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 336 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103959.xml
2017-06-14 20:27:50,231 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 337 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107249.xml
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2017-06-14 20:27:50,255 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 339 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107288.xml
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2017-06-14 20:27:50,290 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 343 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107359.xml
2017-06-14 20:27:50,330 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 344 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100514.xml
2017-06-14 20:27:50,338 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 345 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100528.xml
2017-06-14 20:27:50,340 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 346 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100532.xml
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2017-06-14 20:27:50,506 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 358 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101339.xml
2017-06-14 20:27:50,528 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 359 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101383.xml
2017-06-14 20:27:50,552 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 360 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101412.xml
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2017-06-14 20:27:51,804 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 431 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101846.xml
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2017-06-14 20:27:51,817 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 433 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101889.xml
2017-06-14 20:27:51,844 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 434 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101944.xml
2017-06-14 20:27:51,860 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 435 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101965.xml
2017-06-14 20:27:51,878 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 436 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101968.xml
2017-06-14 20:27:51,901 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 437 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102049.xml
2017-06-14 20:27:51,915 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 438 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102078.xml
2017-06-14 20:27:51,925 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 439 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102123.xml
2017-06-14 20:27:51,931 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 440 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102126.xml
2017-06-14 20:27:51,943 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 441 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102156.xml
2017-06-14 20:27:51,966 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 442 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102161.xml
2017-06-14 20:27:51,988 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 443 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102235.xml
2017-06-14 20:27:51,993 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 444 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102272.xml
2017-06-14 20:27:52,000 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 445 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102401.xml
2017-06-14 20:27:52,005 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 446 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102416.xml
2017-06-14 20:27:52,012 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 447 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102432.xml
2017-06-14 20:27:52,027 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 448 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102434.xml
2017-06-14 20:27:52,040 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 449 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102442.xml
2017-06-14 20:27:52,049 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 450 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102445.xml
2017-06-14 20:27:52,055 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 451 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102476.xml
2017-06-14 20:27:52,058 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 452 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102486.xml
2017-06-14 20:27:52,068 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 453 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102489.xml
2017-06-14 20:27:52,079 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 454 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102506.xml
2017-06-14 20:27:52,099 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 455 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102507.xml
2017-06-14 20:27:52,114 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 456 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102681.xml
2017-06-14 20:27:52,127 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 457 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102697.xml
2017-06-14 20:27:52,141 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 458 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102700.xml
2017-06-14 20:27:52,147 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 459 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103641.xml
2017-06-14 20:27:52,171 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 460 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103707.xml
2017-06-14 20:27:52,188 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 461 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103739.xml
2017-06-14 20:27:52,194 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 462 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103745.xml
2017-06-14 20:27:52,200 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 463 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103878.xml
2017-06-14 20:27:52,220 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 464 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103923.xml
2017-06-14 20:27:52,243 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 465 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107242.xml
2017-06-14 20:27:52,264 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 466 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107250.xml
2017-06-14 20:27:52,284 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 467 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107255.xml
2017-06-14 20:27:52,301 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 468 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107291.xml
2017-06-14 20:27:52,318 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 469 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107322.xml
2017-06-14 20:27:52,326 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 470 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107346.xml
2017-06-14 20:27:52,337 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 471 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107350.xml
2017-06-14 20:27:52,350 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 472 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107356.xml
2017-06-14 20:27:52,360 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 473 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100523.xml
2017-06-14 20:27:52,379 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 474 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100623.xml
2017-06-14 20:27:52,389 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 475 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100624.xml
2017-06-14 20:27:52,414 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 476 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101203.xml
2017-06-14 20:27:52,424 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 477 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101207.xml
2017-06-14 20:27:52,429 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 478 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101214.xml
2017-06-14 20:27:52,447 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 479 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101261.xml
2017-06-14 20:27:52,460 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 480 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101285.xml
2017-06-14 20:27:52,488 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 481 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101293.xml
2017-06-14 20:27:52,490 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 482 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101334.xml
2017-06-14 20:27:52,498 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 483 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101344.xml
2017-06-14 20:27:52,517 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 484 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101374.xml
2017-06-14 20:27:52,525 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 485 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101388.xml
2017-06-14 20:27:52,527 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 486 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101464.xml
2017-06-14 20:27:52,539 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 487 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101469.xml
2017-06-14 20:27:52,559 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 488 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101470.xml
2017-06-14 20:27:52,562 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 489 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101474.xml
2017-06-14 20:27:52,563 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 490 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101481.xml
2017-06-14 20:27:52,565 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 491 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101507.xml
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2017-06-14 20:27:52,608 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 493 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101535.xml
2017-06-14 20:27:52,654 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 494 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101564.xml
2017-06-14 20:27:52,682 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 495 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101582.xml
2017-06-14 20:27:52,705 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 496 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101595.xml
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2017-06-14 20:27:52,793 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 499 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101745.xml
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2017-06-14 20:27:52,864 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 503 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101760.xml
2017-06-14 20:27:52,874 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 504 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101765.xml
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2017-06-14 20:27:52,933 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 507 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101883.xml
2017-06-14 20:27:52,946 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 508 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101886.xml
2017-06-14 20:27:52,969 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 509 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101934.xml
2017-06-14 20:27:52,989 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 510 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102023.xml
2017-06-14 20:27:53,006 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 511 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102026.xml
2017-06-14 20:27:53,030 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 512 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102030.xml
2017-06-14 20:27:53,039 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 513 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102040.xml
2017-06-14 20:27:53,055 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 514 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102059.xml
2017-06-14 20:27:53,064 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 515 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102125.xml
2017-06-14 20:27:53,071 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 516 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102260.xml
2017-06-14 20:27:53,093 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 517 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102262.xml
2017-06-14 20:27:53,121 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 518 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102270.xml
2017-06-14 20:27:53,137 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 519 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102274.xml
2017-06-14 20:27:53,163 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 520 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102314.xml
2017-06-14 20:27:53,178 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 521 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102377.xml
2017-06-14 20:27:53,194 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 522 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102393.xml
2017-06-14 20:27:53,211 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 523 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102427.xml
2017-06-14 20:27:53,223 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 524 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102472.xml
2017-06-14 20:27:53,225 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 525 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102498.xml
2017-06-14 20:27:53,238 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 526 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102499.xml
2017-06-14 20:27:53,244 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 527 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102608.xml
2017-06-14 20:27:53,265 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 528 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102668.xml
2017-06-14 20:27:53,274 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 529 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102679.xml
2017-06-14 20:27:53,281 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 530 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102712.xml
2017-06-14 20:27:53,284 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 531 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102717.xml
2017-06-14 20:27:53,305 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 532 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103634.xml
2017-06-14 20:27:53,336 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 533 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103678.xml
2017-06-14 20:27:53,348 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 534 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103713.xml
2017-06-14 20:27:53,363 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 535 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103874.xml
2017-06-14 20:27:53,376 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 536 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103898.xml
2017-06-14 20:27:53,392 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 537 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103914.xml
2017-06-14 20:27:53,406 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 538 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103924.xml
2017-06-14 20:27:53,428 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 539 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103927.xml
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2017-06-14 20:27:53,474 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 542 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107263.xml
2017-06-14 20:27:53,479 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 543 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107282.xml
2017-06-14 20:27:53,492 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 544 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107319.xml
2017-06-14 20:27:53,508 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 545 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100500.xml
2017-06-14 20:27:53,516 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 546 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100505.xml
2017-06-14 20:27:53,521 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 547 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100521.xml
2017-06-14 20:27:53,535 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 548 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100599.xml
2017-06-14 20:27:53,550 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 549 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100601.xml
2017-06-14 20:27:53,603 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 550 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100622.xml
2017-06-14 20:27:53,608 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 551 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101187.xml
2017-06-14 20:27:53,631 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 552 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101219.xml
2017-06-14 20:27:53,638 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 553 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101227.xml
2017-06-14 20:27:53,651 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 554 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101229.xml
2017-06-14 20:27:53,654 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 555 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101236.xml
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2017-06-14 20:27:53,692 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 558 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101280.xml
2017-06-14 20:27:53,706 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 559 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101287.xml
2017-06-14 20:27:53,710 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 560 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101305.xml
2017-06-14 20:27:53,713 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 561 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101356.xml
2017-06-14 20:27:53,722 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 562 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101389.xml
2017-06-14 20:27:53,725 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 563 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101390.xml
2017-06-14 20:27:53,734 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 564 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101405.xml
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2017-06-14 20:27:53,742 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 566 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101456.xml
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2017-06-14 20:27:53,761 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 568 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101516.xml
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2017-06-14 20:27:53,824 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 571 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101550.xml
2017-06-14 20:27:53,829 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 572 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101599.xml
2017-06-14 20:27:53,859 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 573 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101600.xml
2017-06-14 20:27:53,880 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 574 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101616.xml
2017-06-14 20:27:53,900 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 575 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101705.xml
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2017-06-14 20:27:53,940 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 577 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101766.xml
2017-06-14 20:27:53,965 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 578 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101816.xml
2017-06-14 20:27:53,987 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 579 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101841.xml
2017-06-14 20:27:53,995 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 580 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101848.xml
2017-06-14 20:27:54,001 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 581 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101849.xml
2017-06-14 20:27:54,012 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 582 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101877.xml
2017-06-14 20:27:54,029 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 583 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101936.xml
2017-06-14 20:27:54,049 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 584 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101961.xml
2017-06-14 20:27:54,068 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 585 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102017.xml
2017-06-14 20:27:54,088 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 586 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102022.xml
2017-06-14 20:27:54,111 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 587 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102036.xml
2017-06-14 20:27:54,127 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 588 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102044.xml
2017-06-14 20:27:54,143 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 589 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102087.xml
2017-06-14 20:27:54,148 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 590 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102152.xml
2017-06-14 20:27:54,152 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 591 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102224.xml
2017-06-14 20:27:54,178 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 592 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102226.xml
2017-06-14 20:27:54,201 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 593 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102263.xml
2017-06-14 20:27:54,220 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 594 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102360.xml
2017-06-14 20:27:54,238 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 595 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102412.xml
2017-06-14 20:27:54,247 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 596 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102449.xml
2017-06-14 20:27:54,257 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 597 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102485.xml
2017-06-14 20:27:54,259 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 598 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102693.xml
2017-06-14 20:27:54,278 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 599 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102710.xml
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2017-06-14 20:27:54,289 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 601 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103580.xml
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2017-06-14 20:27:54,348 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 603 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103700.xml
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2017-06-14 20:27:54,380 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 605 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103742.xml
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2017-06-14 20:27:54,469 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 610 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107241.xml
2017-06-14 20:27:54,473 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 611 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107272.xml
2017-06-14 20:27:54,488 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 612 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107297.xml
2017-06-14 20:27:54,507 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 613 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107312.xml
2017-06-14 20:27:54,516 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 614 from 614: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107362.xml
2017-06-14 20:27:54,520 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100539.xml
2017-06-14 20:27:54,543 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 2 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100629.xml
2017-06-14 20:27:54,549 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 3 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100641.xml
2017-06-14 20:27:54,574 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101165.xml
2017-06-14 20:27:54,601 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101177.xml
2017-06-14 20:27:54,607 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101211.xml
2017-06-14 20:27:54,608 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 7 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101273.xml
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2017-06-14 20:27:54,630 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 11 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101338.xml
2017-06-14 20:27:54,633 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 12 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101361.xml
2017-06-14 20:27:54,642 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 13 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101363.xml
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2017-06-14 20:27:54,667 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 15 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101415.xml
2017-06-14 20:27:54,687 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 16 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101419.xml
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2017-06-14 20:27:55,030 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 33 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101951.xml
2017-06-14 20:27:55,047 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 34 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102018.xml
2017-06-14 20:27:55,066 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 35 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102024.xml
2017-06-14 20:27:55,086 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 36 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102064.xml
2017-06-14 20:27:55,106 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 37 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102066.xml
2017-06-14 20:27:55,114 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 38 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102112.xml
2017-06-14 20:27:55,119 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 39 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102150.xml
2017-06-14 20:27:55,140 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 40 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102353.xml
2017-06-14 20:27:55,173 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 41 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102355.xml
2017-06-14 20:27:55,201 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 42 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102419.xml
2017-06-14 20:27:55,215 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 43 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102423.xml
2017-06-14 20:27:55,225 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 44 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102443.xml
2017-06-14 20:27:55,237 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 45 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102500.xml
2017-06-14 20:27:55,254 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 46 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102672.xml
2017-06-14 20:27:55,261 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 47 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102680.xml
2017-06-14 20:27:55,271 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 48 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102696.xml
2017-06-14 20:27:55,281 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 49 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102699.xml
2017-06-14 20:27:55,286 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 50 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103574.xml
2017-06-14 20:27:55,310 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 51 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103588.xml
2017-06-14 20:27:55,349 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 52 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103589.xml
2017-06-14 20:27:55,377 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 53 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103703.xml
2017-06-14 20:27:55,384 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 54 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103877.xml
2017-06-14 20:27:55,408 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 55 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103888.xml
2017-06-14 20:27:55,430 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 56 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103892.xml
2017-06-14 20:27:55,448 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 57 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103901.xml
2017-06-14 20:27:55,456 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 58 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103917.xml
2017-06-14 20:27:55,475 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 59 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103940.xml
2017-06-14 20:27:55,494 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 60 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103953.xml
2017-06-14 20:27:55,514 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 61 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107248.xml
2017-06-14 20:27:55,548 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 62 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107253.xml
2017-06-14 20:27:55,560 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 63 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107258.xml
2017-06-14 20:27:55,573 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 64 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107296.xml
2017-06-14 20:27:55,590 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 65 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107303.xml
2017-06-14 20:27:55,602 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 66 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107345.xml
-> Setting up chunker: chunker_c1
(TokenFeatureGenerator) Loading features...
[orth, base, ctag, synonym, hypernym-1, hypernym-2, hypernym-3, top4hyper-1, top4hyper-2, top4hyper-3, class, case, number, gender, pattern, prefix-1, prefix-2, prefix-3, prefix-4, suffix-1, suffix-2, suffix-3, suffix-4, all_alphanumeric, all_digits, all_letters, all_upper, has_upper_case, has_lower_case, has_symbol, has_digit, starts_with_upper_case, starts_with_lower_case, starts_with_symbol, starts_with_digit, is_number, no_alphanumeric, no_letters, struct, length, dict_person_first_nam, dict_person_last_nam, dict_country_nam, dict_city_nam, dict_road_nam, dict_person_prefix, dict_person_noun, dict_person_suffix, dict_road_prefix, dict_country_prefix, dict_trigger_int_bloc, dict_trigger_ext_bloc, dict_trigger_int_country, dict_trigger_ext_country, dict_trigger_int_district, dict_trigger_ext_district, dict_trigger_int_geogName, dict_trigger_ext_geogName, dict_trigger_int_orgName, dict_trigger_ext_orgName, dict_trigger_int_persName, dict_trigger_ext_persName, dict_trigger_int_region, dict_trigger_ext_region, dict_trigger_int_settlement, dict_trigger_ext_settlement, agr1, parenthesis, quotation, nospace]
--> CRFPP Chunker train
--> Training on file={CV_TRAIN}
(TemplateFactory) parsing template: /home/czuk/nlp/eclipse/workspace_liner2/liner2_master/../models-workdir/liner2.5/liner25_model_ner_kpwr12/ini/template-jrip.txt
(TemplateFactory) Adding feature:orth:-2:-1:0:1:2
(TemplateFactory) feature:orth:-2:-1:0:1:2
(TemplateFactory) Adding feature:base:-2:-1:0:1:2
(TemplateFactory) feature:base:-2:-1:0:1:2
(TemplateFactory) Adding feature:synonym:-2:-1:0:1:2
(TemplateFactory) feature:synonym:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-1:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-2:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-2:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-3:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:class:-1:0:1
(TemplateFactory) feature:class:-1:0:1
(TemplateFactory) Adding feature:case:0
(TemplateFactory) feature:case:0
(TemplateFactory) Adding feature:gender:-2:-1:0:1:2
(TemplateFactory) feature:gender:-2:-1:0:1:2
(TemplateFactory) Adding feature:pattern:0
(TemplateFactory) feature:pattern:0
(TemplateFactory) Adding feature:prefix-1:-2:-1:0:1:2
(TemplateFactory) feature:prefix-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:prefix-3:-2:-1:0:1:2
(TemplateFactory) feature:prefix-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:prefix-4:-2:-1:0:1:2
(TemplateFactory) feature:prefix-4:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-1:-2:-1:0:1:2
(TemplateFactory) feature:suffix-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-2:-2:-1:0:1:2
(TemplateFactory) feature:suffix-2:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-3:-2:-1:0:1:2
(TemplateFactory) feature:suffix-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-4:-2:-1:0:1:2
(TemplateFactory) feature:suffix-4:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_upper_case:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_upper_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_lower_case:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_lower_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_symbol:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_symbol:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_digit:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_digit:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_upper_case:-2:-1:0:1:2
(TemplateFactory) feature:has_upper_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_lower_case:-2:-1:0:1:2
(TemplateFactory) feature:has_lower_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_symbol:-2:-1:0:1:2
(TemplateFactory) feature:has_symbol:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_digit:-2:-1:0:1:2
(TemplateFactory) feature:has_digit:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_first_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_first_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_last_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_last_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_country_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_country_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_city_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_city_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_road_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_road_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_noun:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_noun:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_suffix:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_suffix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_road_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_road_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_country_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_country_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:base:-4/dict_person_first_nam:-3/dict_person_last_nam:-2/base:-1/dict_person_last_nam:0
(TemplateFactory) feature:base:-4/dict_person_first_nam:-3/dict_person_last_nam:-2/base:-1/dict_person_last_nam:0
(TemplateFactory) Adding feature:dict_trigger_int_bloc:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_bloc:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_bloc:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_bloc:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_country:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_country:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_country:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_country:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_district:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_district:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_district:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_district:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_geogName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_geogName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_geogName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_geogName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_orgName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_orgName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_orgName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_orgName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_persName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_persName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_persName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_persName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_region:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_region:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_region:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_region:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_settlement:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_settlement:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_settlement:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_settlement:-2:-1:0:1:2
(TemplateFactory) Adding feature:agr1:-2:-1:0:1:2
(TemplateFactory) feature:agr1:-2:-1:0:1:2
(TemplateFactory) Adding feature:nospace:-2:-1:0:1:2
(TemplateFactory) feature:nospace:-2:-1:0:1:2
(TemplateFactory) Adding feature:parenthesis:-2:-1:0:1:2
(TemplateFactory) feature:parenthesis:-2:-1:0:1:2
(TemplateFactory) Adding feature:quotation:-2:-1:0:1:2
(TemplateFactory) feature:quotation:-2:-1:0:1:2
(TemplateFactory) Adding feature:length:-2:-1:0:1:2
(TemplateFactory) feature:length:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_upper_case:0/agr1:-1/pattern:2/has_upper_case:-1/case:0/number:-1
(TemplateFactory) feature:has_upper_case:0/agr1:-1/pattern:2/has_upper_case:-1/case:0/number:-1
(TemplateFactory) Adding feature:has_upper_case:0/all_digits:-1/all_upper:-2/length:1/nospace:1
(TemplateFactory) feature:has_upper_case:0/all_digits:-1/all_upper:-2/length:1/nospace:1
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/ctag:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/ctag:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/has_upper_case:1
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/has_upper_case:1
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/agr1:1/pattern:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/agr1:1/pattern:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/class:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/class:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/starts_with_digit:-2/starts_with_lower_case:1/case:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/starts_with_digit:-2/starts_with_lower_case:1/case:0
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/has_upper_case:1
(TemplateFactory) feature:has_upper_case:0/ctag:0/has_upper_case:1
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/parenthesis:0/class:2/agr1:2
(TemplateFactory) feature:has_upper_case:0/ctag:0/parenthesis:0/class:2/agr1:2
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/suffix-1:0
(TemplateFactory) feature:has_upper_case:0/ctag:0/suffix-1:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/all_upper:-2/all_alphanumeric:2/starts_with_lower_case:2/all_alphanumeric:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/all_upper:-2/all_alphanumeric:2/starts_with_lower_case:2/all_alphanumeric:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_digit:-2/has_lower_case:0/nospace:-1/nospace:-2/ctag:-1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_digit:-2/has_lower_case:0/nospace:-1/nospace:-2/ctag:-1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-1/all_alphanumeric:2/class:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-1/all_alphanumeric:2/class:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/all_letters:-1/ctag:0/all_alphanumeric:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/all_letters:-1/ctag:0/all_alphanumeric:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/length:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/length:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/starts_with_lower_case:1/orth:-1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/starts_with_lower_case:1/orth:-1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/pattern:-1/class:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/pattern:-1/class:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/pattern:1/parenthesis:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/pattern:1/parenthesis:0
(TemplateFactory) Adding feature:has_upper_case:0/starts_with_lower_case:1/case:0/orth:2
(TemplateFactory) feature:has_upper_case:0/starts_with_lower_case:1/case:0/orth:2
(TemplateFactory) Adding feature:has_upper_case:0/starts_with_lower_case:1/case:0/pattern:1/agr1:1/gender:0
(TemplateFactory) feature:has_upper_case:0/starts_with_lower_case:1/case:0/pattern:1/agr1:1/gender:0
(TemplateFactory) Adding feature:has_upper_case:-1/has_upper_case:0/nospace:-2/pattern:0
(TemplateFactory) feature:has_upper_case:-1/has_upper_case:0/nospace:-2/pattern:0
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/all_letters:1/orth:0/starts_with_lower_case:-2
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/all_letters:1/orth:0/starts_with_lower_case:-2
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/orth:0/nospace:-1
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/orth:0/nospace:-1
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/parenthesis:-2/class:-2/orth:-1
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/parenthesis:-2/class:-2/orth:-1
(TemplateFactory) Adding feature:has_upper_case:-2/has_upper_case:0/orth:-1/nospace:-2
(TemplateFactory) feature:has_upper_case:-2/has_upper_case:0/orth:-1/nospace:-2
(TemplateFactory) Adding feature:has_upper_case:-2/starts_with_upper_case:0/orth:-1
(TemplateFactory) feature:has_upper_case:-2/starts_with_upper_case:0/orth:-1
(TemplateFactory) Adding feature:starts_with_lower_case:-1/has_upper_case:0/case:-1/case:2
(TemplateFactory) feature:starts_with_lower_case:-1/has_upper_case:0/case:-1/case:2
(TemplateFactory) Adding feature:starts_with_lower_case:-1/has_upper_case:0/pattern:-1/ctag:-1/pattern:0
(TemplateFactory) feature:starts_with_lower_case:-1/has_upper_case:0/pattern:-1/ctag:-1/pattern:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_lower_case:-1/all_letters:-1/parenthesis:-2/pattern:1/length:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_lower_case:-1/all_letters:-1/parenthesis:-2/pattern:1/length:0
(TemplateFactory) Adding feature:starts_with_lower_case:-1/starts_with_upper_case:0/class:-1/agr1:0/gender:-1
(TemplateFactory) feature:starts_with_lower_case:-1/starts_with_upper_case:0/class:-1/agr1:0/gender:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/class:-2/no_letters:0/length:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/class:-2/no_letters:0/length:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/agr1:-2/ctag:-2
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/agr1:-2/ctag:-2
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/case:-1/ctag:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/case:-1/ctag:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/ctag:-2/struct:-2
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/ctag:-2/struct:-2
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/quotation:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/quotation:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/pattern:0/length:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/pattern:0/length:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/starts_with_upper_case:0/length:-1/ctag:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/starts_with_upper_case:0/length:-1/ctag:-1
(TemplateFactory) Adding feature:starts_with_upper_case:0/agr1:-1/gender:0/number:0
(TemplateFactory) feature:starts_with_upper_case:0/agr1:-1/gender:0/number:0
(TemplateFactory) Adding feature:starts_with_upper_case:0/agr1:-1/orth:-1/class:-2
(TemplateFactory) feature:starts_with_upper_case:0/agr1:-1/orth:-1/class:-2
(TemplateFactory) Adding feature:starts_with_upper_case:0/class:0/gender:0/prefix-1:0/all_alphanumeric:1
(TemplateFactory) feature:starts_with_upper_case:0/class:0/gender:0/prefix-1:0/all_alphanumeric:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/class:0/starts_with_lower_case:1/struct:2/agr1:1
(TemplateFactory) feature:starts_with_upper_case:0/class:0/starts_with_lower_case:1/struct:2/agr1:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/ctag:0/parenthesis:0/class:1
(TemplateFactory) feature:starts_with_upper_case:0/ctag:0/parenthesis:0/class:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/dict_person_first_nam:-1/class:0/parenthesis:2/ctag:0
(TemplateFactory) feature:starts_with_upper_case:0/dict_person_first_nam:-1/class:0/parenthesis:2/ctag:0
(TemplateFactory) Adding feature:starts_with_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/has_digit:-2/gender:1
(TemplateFactory) feature:starts_with_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/has_digit:-2/gender:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/starts_with_lower_case:1/case:0/suffix-2:1
(TemplateFactory) feature:starts_with_upper_case:0/starts_with_lower_case:1/case:0/suffix-2:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/starts_with_lower_case:1/pattern:1/length:2/nospace:1/case:0/ctag:2
(TemplateFactory) feature:starts_with_upper_case:0/starts_with_lower_case:1/pattern:1/length:2/nospace:1/case:0/ctag:2
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_lower_case:1/all_digits:-2/has_upper_case:1/orth:0
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_lower_case:1/all_digits:-2/has_upper_case:1/orth:0
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_lower_case:1/starts_with_upper_case:0/nospace:2/gender:-1
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_lower_case:1/starts_with_upper_case:0/nospace:2/gender:-1
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/agr1:1/has_lower_case:2
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/agr1:1/has_lower_case:2
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/nospace:0
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/nospace:0
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/pattern:2/suffix-1:-1
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/pattern:2/suffix-1:-1
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Training CRF classifer using features:
orth[-2]
orth[-1]
orth[0]
orth[1]
orth[2]
base[-2]
base[-1]
base[0]
base[1]
base[2]
synonym[-2]
synonym[-1]
synonym[0]
synonym[1]
synonym[2]
hypernym-1[-2]
hypernym-1[-1]
hypernym-1[0]
hypernym-1[1]
hypernym-1[2]
hypernym-2[-2]
hypernym-2[-1]
hypernym-2[0]
hypernym-2[1]
hypernym-2[2]
hypernym-3[-2]
hypernym-3[-1]
hypernym-3[0]
hypernym-3[1]
hypernym-3[2]
class[-1]
class[0]
class[1]
case[0]
gender[-2]
gender[-1]
gender[0]
gender[1]
gender[2]
pattern[0]
prefix-1[-2]
prefix-1[-1]
prefix-1[0]
prefix-1[1]
prefix-1[2]
prefix-3[-2]
prefix-3[-1]
prefix-3[0]
prefix-3[1]
prefix-3[2]
prefix-4[-2]
prefix-4[-1]
prefix-4[0]
prefix-4[1]
prefix-4[2]
suffix-1[-2]
suffix-1[-1]
suffix-1[0]
suffix-1[1]
suffix-1[2]
suffix-2[-2]
suffix-2[-1]
suffix-2[0]
suffix-2[1]
suffix-2[2]
suffix-3[-2]
suffix-3[-1]
suffix-3[0]
suffix-3[1]
suffix-3[2]
suffix-4[-2]
suffix-4[-1]
suffix-4[0]
suffix-4[1]
suffix-4[2]
starts_with_upper_case[-2]
starts_with_upper_case[-1]
starts_with_upper_case[0]
starts_with_upper_case[1]
starts_with_upper_case[2]
starts_with_lower_case[-2]
starts_with_lower_case[-1]
starts_with_lower_case[0]
starts_with_lower_case[1]
starts_with_lower_case[2]
starts_with_symbol[-2]
starts_with_symbol[-1]
starts_with_symbol[0]
starts_with_symbol[1]
starts_with_symbol[2]
starts_with_digit[-2]
starts_with_digit[-1]
starts_with_digit[0]
starts_with_digit[1]
starts_with_digit[2]
has_upper_case[-2]
has_upper_case[-1]
has_upper_case[0]
has_upper_case[1]
has_upper_case[2]
has_lower_case[-2]
has_lower_case[-1]
has_lower_case[0]
has_lower_case[1]
has_lower_case[2]
has_symbol[-2]
has_symbol[-1]
has_symbol[0]
has_symbol[1]
has_symbol[2]
has_digit[-2]
has_digit[-1]
has_digit[0]
has_digit[1]
has_digit[2]
dict_person_first_nam[-2]
dict_person_first_nam[-1]
dict_person_first_nam[0]
dict_person_first_nam[1]
dict_person_first_nam[2]
dict_person_last_nam[-2]
dict_person_last_nam[-1]
dict_person_last_nam[0]
dict_person_last_nam[1]
dict_person_last_nam[2]
dict_country_nam[-2]
dict_country_nam[-1]
dict_country_nam[0]
dict_country_nam[1]
dict_country_nam[2]
dict_city_nam[-2]
dict_city_nam[-1]
dict_city_nam[0]
dict_city_nam[1]
dict_city_nam[2]
dict_road_nam[-2]
dict_road_nam[-1]
dict_road_nam[0]
dict_road_nam[1]
dict_road_nam[2]
dict_person_prefix[-2]
dict_person_prefix[-1]
dict_person_prefix[0]
dict_person_prefix[1]
dict_person_prefix[2]
dict_person_noun[-2]
dict_person_noun[-1]
dict_person_noun[0]
dict_person_noun[1]
dict_person_noun[2]
dict_person_suffix[-2]
dict_person_suffix[-1]
dict_person_suffix[0]
dict_person_suffix[1]
dict_person_suffix[2]
dict_road_prefix[-2]
dict_road_prefix[-1]
dict_road_prefix[0]
dict_road_prefix[1]
dict_road_prefix[2]
dict_country_prefix[-2]
dict_country_prefix[-1]
dict_country_prefix[0]
dict_country_prefix[1]
dict_country_prefix[2]
base[-4]_dict_person_first_nam[-3]_dict_person_last_nam[-2]_base[-1]_dict_person_last_nam[0]
dict_trigger_int_bloc[-2]
dict_trigger_int_bloc[-1]
dict_trigger_int_bloc[0]
dict_trigger_int_bloc[1]
dict_trigger_int_bloc[2]
dict_trigger_ext_bloc[-2]
dict_trigger_ext_bloc[-1]
dict_trigger_ext_bloc[0]
dict_trigger_ext_bloc[1]
dict_trigger_ext_bloc[2]
dict_trigger_int_country[-2]
dict_trigger_int_country[-1]
dict_trigger_int_country[0]
dict_trigger_int_country[1]
dict_trigger_int_country[2]
dict_trigger_ext_country[-2]
dict_trigger_ext_country[-1]
dict_trigger_ext_country[0]
dict_trigger_ext_country[1]
dict_trigger_ext_country[2]
dict_trigger_int_district[-2]
dict_trigger_int_district[-1]
dict_trigger_int_district[0]
dict_trigger_int_district[1]
dict_trigger_int_district[2]
dict_trigger_ext_district[-2]
dict_trigger_ext_district[-1]
dict_trigger_ext_district[0]
dict_trigger_ext_district[1]
dict_trigger_ext_district[2]
dict_trigger_int_geogName[-2]
dict_trigger_int_geogName[-1]
dict_trigger_int_geogName[0]
dict_trigger_int_geogName[1]
dict_trigger_int_geogName[2]
dict_trigger_ext_geogName[-2]
dict_trigger_ext_geogName[-1]
dict_trigger_ext_geogName[0]
dict_trigger_ext_geogName[1]
dict_trigger_ext_geogName[2]
dict_trigger_int_orgName[-2]
dict_trigger_int_orgName[-1]
dict_trigger_int_orgName[0]
dict_trigger_int_orgName[1]
dict_trigger_int_orgName[2]
dict_trigger_ext_orgName[-2]
dict_trigger_ext_orgName[-1]
dict_trigger_ext_orgName[0]
dict_trigger_ext_orgName[1]
dict_trigger_ext_orgName[2]
dict_trigger_int_persName[-2]
dict_trigger_int_persName[-1]
dict_trigger_int_persName[0]
dict_trigger_int_persName[1]
dict_trigger_int_persName[2]
dict_trigger_ext_persName[-2]
dict_trigger_ext_persName[-1]
dict_trigger_ext_persName[0]
dict_trigger_ext_persName[1]
dict_trigger_ext_persName[2]
dict_trigger_int_region[-2]
dict_trigger_int_region[-1]
dict_trigger_int_region[0]
dict_trigger_int_region[1]
dict_trigger_int_region[2]
dict_trigger_ext_region[-2]
dict_trigger_ext_region[-1]
dict_trigger_ext_region[0]
dict_trigger_ext_region[1]
dict_trigger_ext_region[2]
dict_trigger_int_settlement[-2]
dict_trigger_int_settlement[-1]
dict_trigger_int_settlement[0]
dict_trigger_int_settlement[1]
dict_trigger_int_settlement[2]
dict_trigger_ext_settlement[-2]
dict_trigger_ext_settlement[-1]
dict_trigger_ext_settlement[0]
dict_trigger_ext_settlement[1]
dict_trigger_ext_settlement[2]
agr1[-2]
agr1[-1]
agr1[0]
agr1[1]
agr1[2]
nospace[-2]
nospace[-1]
nospace[0]
nospace[1]
nospace[2]
parenthesis[-2]
parenthesis[-1]
parenthesis[0]
parenthesis[1]
parenthesis[2]
quotation[-2]
quotation[-1]
quotation[0]
quotation[1]
quotation[2]
length[-2]
length[-1]
length[0]
length[1]
length[2]
has_upper_case[0]_agr1[-1]_pattern[2]_has_upper_case[-1]_case[0]_number[-1]
has_upper_case[0]_all_digits[-1]_all_upper[-2]_length[1]_nospace[1]
has_upper_case[0]_all_upper[-1]_pattern[-1]_ctag[0]
has_upper_case[0]_all_upper[-1]_pattern[-1]_has_upper_case[1]
has_upper_case[0]_all_upper[-1]_pattern[-1]_pattern[-2]_agr1[1]_pattern[0]
has_upper_case[0]_all_upper[-1]_pattern[-1]_pattern[-2]_class[0]
has_upper_case[0]_all_upper[-1]_starts_with_digit[-2]_starts_with_lower_case[1]_case[0]
has_upper_case[0]_ctag[0]_has_upper_case[1]
has_upper_case[0]_ctag[0]_parenthesis[0]_class[2]_agr1[2]
has_upper_case[0]_ctag[0]_suffix-1[0]
has_upper_case[0]_dict_person_first_nam[-1]_all_upper[-2]_all_alphanumeric[2]_starts_with_lower_case[2]_all_alphanumeric[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_digit[-2]_has_lower_case[0]_nospace[-1]_nospace[-2]_ctag[-1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-1]_all_alphanumeric[2]_class[0]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[2]_all_letters[-1]_ctag[0]_all_alphanumeric[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-2]_length[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-2]_starts_with_lower_case[1]_orth[-1]
has_upper_case[0]_dict_person_first_nam[-1]_pattern[-1]_class[0]
has_upper_case[0]_dict_person_first_nam[-1]_pattern[1]_parenthesis[0]
has_upper_case[0]_starts_with_lower_case[1]_case[0]_orth[2]
has_upper_case[0]_starts_with_lower_case[1]_case[0]_pattern[1]_agr1[1]_gender[0]
has_upper_case[-1]_has_upper_case[0]_nospace[-2]_pattern[0]
has_upper_case[-1]_starts_with_lower_case[1]_all_letters[1]_orth[0]_starts_with_lower_case[-2]
has_upper_case[-1]_starts_with_lower_case[1]_orth[0]_nospace[-1]
has_upper_case[-1]_starts_with_lower_case[1]_parenthesis[-2]_class[-2]_orth[-1]
has_upper_case[-2]_has_upper_case[0]_orth[-1]_nospace[-2]
has_upper_case[-2]_starts_with_upper_case[0]_orth[-1]
starts_with_lower_case[-1]_has_upper_case[0]_case[-1]_case[2]
starts_with_lower_case[-1]_has_upper_case[0]_pattern[-1]_ctag[-1]_pattern[0]
starts_with_lower_case[1]_starts_with_lower_case[-1]_all_letters[-1]_parenthesis[-2]_pattern[1]_length[0]
starts_with_lower_case[-1]_starts_with_upper_case[0]_class[-1]_agr1[0]_gender[-1]
starts_with_lower_case[1]_starts_with_upper_case[-1]_class[-2]_no_letters[0]_length[0]
starts_with_lower_case[1]_starts_with_upper_case[-1]_parenthesis[-2]_agr1[-2]_ctag[-2]
starts_with_lower_case[1]_starts_with_upper_case[-1]_parenthesis[-2]_case[-1]_ctag[0]
starts_with_lower_case[1]_starts_with_upper_case[-2]_agr1[-2]_ctag[-2]_struct[-2]
starts_with_lower_case[1]_starts_with_upper_case[-2]_agr1[-2]_quotation[-1]
starts_with_lower_case[1]_starts_with_upper_case[-2]_pattern[0]_length[-1]
starts_with_lower_case[1]_starts_with_upper_case[-2]_starts_with_upper_case[0]_length[-1]_ctag[-1]
starts_with_upper_case[0]_agr1[-1]_gender[0]_number[0]
starts_with_upper_case[0]_agr1[-1]_orth[-1]_class[-2]
starts_with_upper_case[0]_class[0]_gender[0]_prefix-1[0]_all_alphanumeric[1]
starts_with_upper_case[0]_class[0]_starts_with_lower_case[1]_struct[2]_agr1[1]
starts_with_upper_case[0]_ctag[0]_parenthesis[0]_class[1]
starts_with_upper_case[0]_dict_person_first_nam[-1]_class[0]_parenthesis[2]_ctag[0]
starts_with_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[2]_has_digit[-2]_gender[1]
starts_with_upper_case[0]_starts_with_lower_case[1]_case[0]_suffix-2[1]
starts_with_upper_case[0]_starts_with_lower_case[1]_pattern[1]_length[2]_nospace[1]_case[0]_ctag[2]
starts_with_upper_case[-1]_starts_with_lower_case[1]_all_digits[-2]_has_upper_case[1]_orth[0]
starts_with_upper_case[-1]_starts_with_lower_case[1]_starts_with_upper_case[0]_nospace[2]_gender[-1]
starts_with_upper_case[-1]_starts_with_upper_case[0]_all_upper[-2]_agr1[1]_has_lower_case[2]
starts_with_upper_case[-1]_starts_with_upper_case[0]_all_upper[-2]_nospace[0]
starts_with_upper_case[-1]_starts_with_upper_case[0]_pattern[2]_suffix-1[-1]

CRF++: Yet Another CRF Tool Kit
Copyright (C) 2005-2012 Taku Kudo, All rights reserved.

reading training data: 100.. 200.. 300.. 400.. 500.. 600.. 700.. 800.. 900.. 1000.. 1100.. 1200.. 1300.. 1400.. 1500.. 1600.. 1700.. 1800.. 1900.. 2000.. 2100.. 2200.. 2300.. 2400.. 2500.. 2600.. 2700.. 2800.. 2900.. 3000.. 3100.. 3200.. 3300.. 3400.. 3500.. 3600.. 3700.. 3800.. 3900.. 4000.. 4100.. 4200.. 4300.. 4400.. 4500.. 4600.. 4700.. 4800.. 4900.. 5000.. 5100.. 5200.. 5300.. 5400.. 5500.. 5600.. 5700.. 5800.. 5900.. 6000.. 6100.. 6200.. 6300.. 6400.. 6500.. 6600.. 6700.. 6800.. 6900.. 7000.. 7100.. 7200.. 7300.. 7400.. 7500.. 7600.. 7700.. 7800.. 7900.. 8000.. 8100.. 8200.. 8300.. 8400.. 8500.. 8600.. 8700.. 8800.. 8900.. 9000.. 9100.. 9200.. 9300.. 9400.. 9500.. 
Done!37.09 s

Number of sentences: 9534
Number of features:  921264
Number of thread(s): 7
Freq:                5
eta:                 0.00010
C:                   1.00000
shrinking size:      20
iter=0 terr=0.94667 serr=0.99748 act=921264 obj=169780.64170 diff=1.00000
iter=1 terr=0.09175 serr=0.44598 act=921264 obj=204221.01807 diff=0.20285
iter=2 terr=0.09175 serr=0.44598 act=921264 obj=72227.22952 diff=0.64633
iter=3 terr=0.09175 serr=0.44598 act=921264 obj=65137.34962 diff=0.09816
iter=4 terr=0.86975 serr=0.96801 act=921264 obj=205210.22102 diff=2.15042
iter=5 terr=0.09175 serr=0.44598 act=921264 obj=53767.07889 diff=0.73799
iter=6 terr=0.09175 serr=0.44598 act=921264 obj=53006.26621 diff=0.01415
iter=7 terr=0.09175 serr=0.44598 act=921264 obj=50425.84919 diff=0.04868
iter=8 terr=0.09175 serr=0.44598 act=921264 obj=47861.76941 diff=0.05085
iter=9 terr=0.08579 serr=0.42742 act=921264 obj=39631.79922 diff=0.17195
iter=10 terr=0.05905 serr=0.38074 act=921264 obj=31432.47432 diff=0.20689
iter=11 terr=0.04164 serr=0.30994 act=921264 obj=25777.07586 diff=0.17992
iter=12 terr=0.03888 serr=0.27134 act=921264 obj=21893.57700 diff=0.15066
iter=13 terr=0.03741 serr=0.26589 act=921264 obj=21007.72872 diff=0.04046
iter=14 terr=0.03722 serr=0.26379 act=921264 obj=20176.22245 diff=0.03958
iter=15 terr=0.03690 serr=0.26002 act=921264 obj=19514.68028 diff=0.03279
iter=16 terr=0.03649 serr=0.25016 act=921264 obj=18827.33816 diff=0.03522
iter=17 terr=0.03606 serr=0.24680 act=921264 obj=18284.86613 diff=0.02881
iter=18 terr=0.03563 serr=0.24166 act=921264 obj=17729.33388 diff=0.03038
iter=19 terr=0.03512 serr=0.23705 act=921264 obj=17254.36932 diff=0.02679
iter=20 terr=0.03402 serr=0.23348 act=921264 obj=16747.13670 diff=0.02940
iter=21 terr=0.03435 serr=0.23285 act=921264 obj=16428.82388 diff=0.01901
iter=22 terr=0.03431 serr=0.23117 act=921264 obj=16119.38675 diff=0.01884
iter=23 terr=0.03409 serr=0.22635 act=921264 obj=15777.73060 diff=0.02120
iter=24 terr=0.03362 serr=0.22519 act=921264 obj=15433.23463 diff=0.02183
iter=25 terr=0.03274 serr=0.22247 act=921264 obj=14880.13998 diff=0.03584
iter=26 terr=0.03197 serr=0.22928 act=921264 obj=14331.61488 diff=0.03686
iter=27 terr=0.03137 serr=0.22845 act=921264 obj=13894.66184 diff=0.03049
iter=28 terr=0.03094 serr=0.22813 act=921264 obj=13539.98823 diff=0.02553
iter=29 terr=0.03097 serr=0.22729 act=921264 obj=12898.39597 diff=0.04738
iter=30 terr=0.03056 serr=0.22163 act=921264 obj=12061.81799 diff=0.06486
iter=31 terr=0.02887 serr=0.20506 act=921264 obj=10777.85188 diff=0.10645
iter=32 terr=0.17432 serr=0.39878 act=921264 obj=32129.50538 diff=1.98107
iter=33 terr=0.02993 serr=0.20495 act=921264 obj=10636.91402 diff=0.66894
iter=34 terr=0.02851 serr=0.20432 act=921264 obj=10182.97290 diff=0.04268
iter=35 terr=0.02745 serr=0.19876 act=921264 obj=9729.41196 diff=0.04454
iter=36 terr=0.02654 serr=0.19478 act=921264 obj=9317.90497 diff=0.04230
iter=37 terr=0.02564 serr=0.18880 act=921264 obj=8999.25293 diff=0.03420
iter=38 terr=0.02585 serr=0.18733 act=921264 obj=8840.32609 diff=0.01766
iter=39 terr=0.02478 serr=0.18240 act=921264 obj=8676.04458 diff=0.01858
iter=40 terr=0.05120 serr=0.23002 act=921264 obj=12384.24107 diff=0.42741
iter=41 terr=0.02483 serr=0.18135 act=921264 obj=8549.75374 diff=0.30963
iter=42 terr=0.02342 serr=0.17674 act=921264 obj=8326.01988 diff=0.02617
iter=43 terr=0.02259 serr=0.17411 act=921264 obj=8058.56497 diff=0.03212
iter=44 terr=0.02247 serr=0.17338 act=921264 obj=7824.92429 diff=0.02899
iter=45 terr=0.02220 serr=0.17202 act=921264 obj=7660.35337 diff=0.02103
iter=46 terr=0.02181 serr=0.16751 act=921264 obj=7375.47130 diff=0.03719
iter=47 terr=0.02528 serr=0.19184 act=921264 obj=8039.49494 diff=0.09003
iter=48 terr=0.02178 serr=0.16929 act=921264 obj=7255.94281 diff=0.09746
iter=49 terr=0.02069 serr=0.16079 act=921264 obj=6879.75799 diff=0.05185
iter=50 terr=0.01985 serr=0.15345 act=921264 obj=6657.22915 diff=0.03235
iter=51 terr=0.01980 serr=0.14947 act=921264 obj=6562.09232 diff=0.01429
iter=52 terr=0.01903 serr=0.14495 act=921264 obj=6418.29582 diff=0.02191
iter=53 terr=0.01908 serr=0.14443 act=921264 obj=6108.91411 diff=0.04820
iter=54 terr=0.01814 serr=0.13940 act=921264 obj=5895.07923 diff=0.03500
iter=55 terr=0.01734 serr=0.13405 act=921264 obj=5773.68221 diff=0.02059
iter=56 terr=0.01700 serr=0.13342 act=921264 obj=5703.48208 diff=0.01216
iter=57 terr=0.01680 serr=0.13310 act=921264 obj=5681.05426 diff=0.00393
iter=58 terr=0.01634 serr=0.13111 act=921264 obj=5557.55080 diff=0.02174
iter=59 terr=0.01625 serr=0.12943 act=921264 obj=5490.31407 diff=0.01210
iter=60 terr=0.01965 serr=0.13541 act=921264 obj=5653.61410 diff=0.02974
iter=61 terr=0.01637 serr=0.12933 act=921264 obj=5466.66882 diff=0.03307
iter=62 terr=0.01632 serr=0.12870 act=921264 obj=5439.39670 diff=0.00499
iter=63 terr=0.01611 serr=0.12765 act=921264 obj=5389.46620 diff=0.00918
iter=64 terr=0.01566 serr=0.12524 act=921264 obj=5219.36667 diff=0.03156
iter=65 terr=0.01739 serr=0.13258 act=921264 obj=5390.24370 diff=0.03274
iter=66 terr=0.01573 serr=0.12534 act=921264 obj=5136.65767 diff=0.04705
iter=67 terr=0.01558 serr=0.12324 act=921264 obj=5032.51230 diff=0.02027
iter=68 terr=0.01536 serr=0.12188 act=921264 obj=4925.80034 diff=0.02120
iter=69 terr=0.01514 serr=0.11926 act=921264 obj=4862.78972 diff=0.01279
iter=70 terr=0.01470 serr=0.11926 act=921264 obj=4804.99344 diff=0.01189
iter=71 terr=0.01440 serr=0.11716 act=921264 obj=4725.59098 diff=0.01652
iter=72 terr=0.01415 serr=0.11433 act=921264 obj=4613.47507 diff=0.02373
iter=73 terr=0.01426 serr=0.11475 act=921264 obj=4645.84459 diff=0.00702
iter=74 terr=0.01396 serr=0.11412 act=921264 obj=4561.29415 diff=0.01820
iter=75 terr=0.01383 serr=0.11349 act=921264 obj=4517.18156 diff=0.00967
iter=76 terr=0.01396 serr=0.11412 act=921264 obj=4470.67582 diff=0.01030
iter=77 terr=0.01386 serr=0.11233 act=921264 obj=4427.25564 diff=0.00971
iter=78 terr=0.01343 serr=0.11097 act=921264 obj=4331.89472 diff=0.02154
iter=79 terr=0.02500 serr=0.14537 act=921264 obj=6046.58424 diff=0.39583
iter=80 terr=0.01361 serr=0.11097 act=921264 obj=4304.59715 diff=0.28809
iter=81 terr=0.01295 serr=0.10971 act=921264 obj=4237.57825 diff=0.01557
iter=82 terr=0.01286 serr=0.10898 act=921264 obj=4191.40697 diff=0.01090
iter=83 terr=0.01378 serr=0.10971 act=921264 obj=4204.62372 diff=0.00315
iter=84 terr=0.01274 serr=0.10730 act=921264 obj=4150.16157 diff=0.01295
iter=85 terr=0.01240 serr=0.10562 act=921264 obj=4111.86117 diff=0.00923
iter=86 terr=0.01185 serr=0.10164 act=921264 obj=4027.00536 diff=0.02064
iter=87 terr=0.01152 serr=0.10090 act=921264 obj=3973.44814 diff=0.01330
iter=88 terr=0.01143 serr=0.09996 act=921264 obj=3910.44201 diff=0.01586
iter=89 terr=0.01150 serr=0.09922 act=921264 obj=3849.63143 diff=0.01555
iter=90 terr=0.01136 serr=0.09933 act=921264 obj=3818.46997 diff=0.00809
iter=91 terr=0.01147 serr=0.09891 act=921264 obj=3763.68921 diff=0.01435
iter=92 terr=0.01105 serr=0.09681 act=921264 obj=3713.05398 diff=0.01345
iter=93 terr=0.01090 serr=0.09461 act=921264 obj=3675.09530 diff=0.01022
iter=94 terr=0.01027 serr=0.09062 act=921264 obj=3561.89663 diff=0.03080
iter=95 terr=0.01026 serr=0.09073 act=921264 obj=3559.32789 diff=0.00072
iter=96 terr=0.01008 serr=0.09062 act=921264 obj=3496.63870 diff=0.01761
iter=97 terr=0.00995 serr=0.08926 act=921264 obj=3451.88985 diff=0.01280
iter=98 terr=0.00978 serr=0.08790 act=921264 obj=3412.14867 diff=0.01151
iter=99 terr=0.00985 serr=0.08559 act=921264 obj=3391.35752 diff=0.00609
iter=100 terr=0.00930 serr=0.08538 act=921264 obj=3304.32035 diff=0.02566
iter=101 terr=0.00912 serr=0.08485 act=921264 obj=3270.02911 diff=0.01038
iter=102 terr=0.00877 serr=0.08328 act=921264 obj=3185.13610 diff=0.02596
iter=103 terr=0.01027 serr=0.08622 act=921264 obj=3528.12545 diff=0.10768
iter=104 terr=0.00863 serr=0.08066 act=921264 obj=3153.22634 diff=0.10626
iter=105 terr=0.00820 serr=0.07783 act=921264 obj=3082.04865 diff=0.02257
iter=106 terr=0.00805 serr=0.07730 act=921264 obj=3027.00722 diff=0.01786
iter=107 terr=0.00788 serr=0.07594 act=921264 obj=2944.50269 diff=0.02726
iter=108 terr=0.00836 serr=0.07531 act=921264 obj=2940.49314 diff=0.00136
iter=109 terr=0.00789 serr=0.07520 act=921264 obj=2916.36307 diff=0.00821
iter=110 terr=0.00774 serr=0.07489 act=921264 obj=2880.87630 diff=0.01217
iter=111 terr=0.00754 serr=0.07311 act=921264 obj=2852.05688 diff=0.01000
iter=112 terr=0.00740 serr=0.07080 act=921264 obj=2806.91406 diff=0.01583
iter=113 terr=0.00719 serr=0.06881 act=921264 obj=2747.45366 diff=0.02118
iter=114 terr=0.00690 serr=0.06681 act=921264 obj=2694.60105 diff=0.01924
iter=115 terr=0.00692 serr=0.06608 act=921264 obj=2657.14765 diff=0.01390
iter=116 terr=0.00652 serr=0.06356 act=921264 obj=2611.73206 diff=0.01709
iter=117 terr=0.00649 serr=0.06335 act=921264 obj=2573.74772 diff=0.01454
iter=118 terr=0.00640 serr=0.06209 act=921264 obj=2538.22516 diff=0.01380
iter=119 terr=0.00618 serr=0.06073 act=921264 obj=2493.21382 diff=0.01773
iter=120 terr=0.00578 serr=0.05737 act=921264 obj=2440.80274 diff=0.02102
iter=121 terr=0.00562 serr=0.05706 act=921264 obj=2385.82822 diff=0.02252
iter=122 terr=0.00531 serr=0.05454 act=921264 obj=2357.44947 diff=0.01189
iter=123 terr=0.00575 serr=0.05601 act=921264 obj=2373.52089 diff=0.00682
iter=124 terr=0.00524 serr=0.05412 act=921264 obj=2343.65783 diff=0.01258
iter=125 terr=0.00518 serr=0.05402 act=921264 obj=2322.08129 diff=0.00921
iter=126 terr=0.00501 serr=0.05297 act=921264 obj=2296.16235 diff=0.01116
iter=127 terr=0.00489 serr=0.05192 act=921264 obj=2261.12902 diff=0.01526
iter=128 terr=0.00504 serr=0.05129 act=921264 obj=2224.32090 diff=0.01628
iter=129 terr=0.00503 serr=0.05370 act=921264 obj=2231.45460 diff=0.00321
iter=130 terr=0.00486 serr=0.05171 act=921264 obj=2201.62834 diff=0.01337
iter=131 terr=0.00494 serr=0.05129 act=921264 obj=2169.50757 diff=0.01459
iter=132 terr=0.00465 serr=0.04919 act=921264 obj=2131.55942 diff=0.01749
iter=133 terr=0.00439 serr=0.04804 act=921264 obj=2105.23000 diff=0.01235
iter=134 terr=0.00424 serr=0.04594 act=921264 obj=2073.86041 diff=0.01490
iter=135 terr=0.00396 serr=0.04353 act=921264 obj=2043.65027 diff=0.01457
iter=136 terr=0.00392 serr=0.04321 act=921264 obj=2028.91488 diff=0.00721
iter=137 terr=0.00380 serr=0.04206 act=921264 obj=2001.62927 diff=0.01345
iter=138 terr=0.00358 serr=0.04049 act=921264 obj=1969.55500 diff=0.01602
iter=139 terr=0.00358 serr=0.04017 act=921264 obj=1943.08851 diff=0.01344
iter=140 terr=0.00338 serr=0.03849 act=921264 obj=1909.62143 diff=0.01722
iter=141 terr=0.00333 serr=0.03724 act=921264 obj=1885.55691 diff=0.01260
iter=142 terr=0.00338 serr=0.03703 act=921264 obj=1870.34459 diff=0.00807
iter=143 terr=0.00311 serr=0.03440 act=921264 obj=1848.77785 diff=0.01153
iter=144 terr=0.00311 serr=0.03461 act=921264 obj=1842.19556 diff=0.00356
iter=145 terr=0.00305 serr=0.03430 act=921264 obj=1829.45925 diff=0.00691
iter=146 terr=0.00291 serr=0.03346 act=921264 obj=1810.38104 diff=0.01043
iter=147 terr=0.00346 serr=0.03619 act=921264 obj=1856.71511 diff=0.02559
iter=148 terr=0.00288 serr=0.03210 act=921264 obj=1792.88146 diff=0.03438
iter=149 terr=0.00282 serr=0.03189 act=921264 obj=1762.86361 diff=0.01674
iter=150 terr=0.00275 serr=0.03168 act=921264 obj=1738.26115 diff=0.01396
iter=151 terr=0.00271 serr=0.03136 act=921264 obj=1717.42890 diff=0.01198
iter=152 terr=0.00239 serr=0.02895 act=921264 obj=1686.44809 diff=0.01804
iter=153 terr=0.00237 serr=0.02811 act=921264 obj=1698.05928 diff=0.00688
iter=154 terr=0.00239 serr=0.02801 act=921264 obj=1671.14069 diff=0.01585
iter=155 terr=0.00234 serr=0.02790 act=921264 obj=1661.11238 diff=0.00600
iter=156 terr=0.00226 serr=0.02685 act=921264 obj=1646.18745 diff=0.00898
iter=157 terr=0.00203 serr=0.02507 act=921264 obj=1634.88885 diff=0.00686
iter=158 terr=0.00199 serr=0.02475 act=921264 obj=1616.75004 diff=0.01109
iter=159 terr=0.00195 serr=0.02412 act=921264 obj=1598.01784 diff=0.01159
iter=160 terr=0.00192 serr=0.02391 act=921264 obj=1592.02408 diff=0.00375
iter=161 terr=0.00193 serr=0.02381 act=921264 obj=1582.79595 diff=0.00580
iter=162 terr=0.00193 serr=0.02287 act=921264 obj=1570.76018 diff=0.00760
iter=163 terr=0.00173 serr=0.02171 act=921264 obj=1556.64281 diff=0.00899
iter=164 terr=0.00170 serr=0.02150 act=921264 obj=1550.10418 diff=0.00420
iter=165 terr=0.00162 serr=0.02087 act=921264 obj=1531.17029 diff=0.01221
iter=166 terr=0.00153 serr=0.01982 act=921264 obj=1515.55310 diff=0.01020
iter=167 terr=0.00146 serr=0.01909 act=921264 obj=1502.08243 diff=0.00889
iter=168 terr=0.00140 serr=0.01815 act=921264 obj=1489.11535 diff=0.00863
iter=169 terr=0.00126 serr=0.01626 act=921264 obj=1478.62212 diff=0.00705
iter=170 terr=0.00128 serr=0.01689 act=921264 obj=1475.06731 diff=0.00240
iter=171 terr=0.00127 serr=0.01668 act=921264 obj=1471.10796 diff=0.00268
iter=172 terr=0.00127 serr=0.01657 act=921264 obj=1468.30102 diff=0.00191
iter=173 terr=0.00129 serr=0.01678 act=921264 obj=1464.84275 diff=0.00236
iter=174 terr=0.00128 serr=0.01668 act=921264 obj=1457.55556 diff=0.00497
iter=175 terr=0.00120 serr=0.01626 act=921264 obj=1444.48500 diff=0.00897
iter=176 terr=0.00135 serr=0.01836 act=921264 obj=1476.48763 diff=0.02216
iter=177 terr=0.00120 serr=0.01647 act=921264 obj=1440.38553 diff=0.02445
iter=178 terr=0.00115 serr=0.01615 act=921264 obj=1430.11997 diff=0.00713
iter=179 terr=0.00110 serr=0.01552 act=921264 obj=1420.52188 diff=0.00671
iter=180 terr=0.00106 serr=0.01521 act=921264 obj=1408.63661 diff=0.00837
iter=181 terr=0.00095 serr=0.01322 act=921264 obj=1389.09833 diff=0.01387
iter=182 terr=0.00080 serr=0.01080 act=921264 obj=1387.68569 diff=0.00102
iter=183 terr=0.00087 serr=0.01227 act=921264 obj=1379.59281 diff=0.00583
iter=184 terr=0.00078 serr=0.01070 act=921264 obj=1362.16231 diff=0.01263
iter=185 terr=0.00076 serr=0.01017 act=921264 obj=1354.37664 diff=0.00572
iter=186 terr=0.00075 serr=0.01017 act=921264 obj=1341.18783 diff=0.00974
iter=187 terr=0.00074 serr=0.00996 act=921264 obj=1333.02758 diff=0.00608
iter=188 terr=0.00075 serr=0.00996 act=921264 obj=1319.33799 diff=0.01027
iter=189 terr=0.00076 serr=0.01028 act=921264 obj=1312.99327 diff=0.00481
iter=190 terr=0.00078 serr=0.01049 act=921264 obj=1307.42425 diff=0.00424
iter=191 terr=0.00076 serr=0.01017 act=921264 obj=1305.08785 diff=0.00179
iter=192 terr=0.00074 serr=0.01038 act=921264 obj=1302.00239 diff=0.00236
iter=193 terr=0.00076 serr=0.01017 act=921264 obj=1293.80347 diff=0.00630
iter=194 terr=0.00078 serr=0.00996 act=921264 obj=1285.56859 diff=0.00636
iter=195 terr=0.00079 serr=0.00996 act=921264 obj=1279.19161 diff=0.00496
iter=196 terr=0.00075 serr=0.00965 act=921264 obj=1271.80610 diff=0.00577
iter=197 terr=0.00060 serr=0.00829 act=921264 obj=1259.36369 diff=0.00978
iter=198 terr=0.00063 serr=0.00839 act=921264 obj=1248.06746 diff=0.00897
iter=199 terr=0.00056 serr=0.00755 act=921264 obj=1240.57607 diff=0.00600
iter=200 terr=0.00056 serr=0.00734 act=921264 obj=1235.95908 diff=0.00372
iter=201 terr=0.00058 serr=0.00745 act=921264 obj=1223.20951 diff=0.01032
iter=202 terr=0.00065 serr=0.00808 act=921264 obj=1220.13109 diff=0.00252
iter=203 terr=0.00063 serr=0.00766 act=921264 obj=1209.61339 diff=0.00862
iter=204 terr=0.00058 serr=0.00745 act=921264 obj=1206.16915 diff=0.00285
iter=205 terr=0.00061 serr=0.00745 act=921264 obj=1201.97278 diff=0.00348
iter=206 terr=0.00058 serr=0.00703 act=921264 obj=1199.20047 diff=0.00231
iter=207 terr=0.00062 serr=0.00724 act=921264 obj=1196.16293 diff=0.00253
iter=208 terr=0.00059 serr=0.00682 act=921264 obj=1191.46360 diff=0.00393
iter=209 terr=0.00059 serr=0.00692 act=921264 obj=1185.87402 diff=0.00469
iter=210 terr=0.00063 serr=0.00713 act=921264 obj=1176.92551 diff=0.00755
iter=211 terr=0.00065 serr=0.00755 act=921264 obj=1182.28514 diff=0.00455
iter=212 terr=0.00062 serr=0.00703 act=921264 obj=1173.27869 diff=0.00762
iter=213 terr=0.00061 serr=0.00713 act=921264 obj=1169.15652 diff=0.00351
iter=214 terr=0.00060 serr=0.00713 act=921264 obj=1164.84392 diff=0.00369
iter=215 terr=0.00060 serr=0.00703 act=921264 obj=1158.01372 diff=0.00586
iter=216 terr=0.00051 serr=0.00650 act=921264 obj=1150.22917 diff=0.00672
iter=217 terr=0.00054 serr=0.00629 act=921264 obj=1135.09961 diff=0.01315
iter=218 terr=0.00044 serr=0.00545 act=921264 obj=1120.80664 diff=0.01259
iter=219 terr=0.00040 serr=0.00493 act=921264 obj=1111.68477 diff=0.00814
iter=220 terr=0.00039 serr=0.00472 act=921264 obj=1107.94768 diff=0.00336
iter=221 terr=0.00039 serr=0.00472 act=921264 obj=1100.57351 diff=0.00666
iter=222 terr=0.00044 serr=0.00493 act=921264 obj=1097.11913 diff=0.00314
iter=223 terr=0.00036 serr=0.00430 act=921264 obj=1089.35301 diff=0.00708
iter=224 terr=0.00035 serr=0.00420 act=921264 obj=1086.48874 diff=0.00263
iter=225 terr=0.00037 serr=0.00420 act=921264 obj=1081.79121 diff=0.00432
iter=226 terr=0.00027 serr=0.00304 act=921264 obj=1076.50131 diff=0.00489
iter=227 terr=0.00029 serr=0.00336 act=921264 obj=1066.91940 diff=0.00890
iter=228 terr=0.00030 serr=0.00346 act=921264 obj=1059.10799 diff=0.00732
iter=229 terr=0.00027 serr=0.00304 act=921264 obj=1053.84123 diff=0.00497
iter=230 terr=0.00025 serr=0.00294 act=921264 obj=1049.72742 diff=0.00390
iter=231 terr=0.00023 serr=0.00262 act=921264 obj=1047.52603 diff=0.00210
iter=232 terr=0.00024 serr=0.00283 act=921264 obj=1040.69457 diff=0.00652
iter=233 terr=0.00024 serr=0.00294 act=921264 obj=1036.12821 diff=0.00439
iter=234 terr=0.00023 serr=0.00273 act=921264 obj=1032.32631 diff=0.00367
iter=235 terr=0.00026 serr=0.00283 act=921264 obj=1028.53752 diff=0.00367
iter=236 terr=0.00025 serr=0.00283 act=921264 obj=1019.69184 diff=0.00860
iter=237 terr=0.00030 serr=0.00315 act=921264 obj=1060.63004 diff=0.04015
iter=238 terr=0.00024 serr=0.00273 act=921264 obj=1017.78588 diff=0.04040
iter=239 terr=0.00025 serr=0.00273 act=921264 obj=1016.57256 diff=0.00119
iter=240 terr=0.00023 serr=0.00273 act=921264 obj=1011.58919 diff=0.00490
iter=241 terr=0.00019 serr=0.00252 act=921264 obj=1006.95676 diff=0.00458
iter=242 terr=0.00019 serr=0.00252 act=921264 obj=1000.41557 diff=0.00650
iter=243 terr=0.00020 serr=0.00262 act=921264 obj=996.28437 diff=0.00413
iter=244 terr=0.00023 serr=0.00252 act=921264 obj=1002.47967 diff=0.00622
iter=245 terr=0.00020 serr=0.00262 act=921264 obj=994.23957 diff=0.00822
iter=246 terr=0.00021 serr=0.00283 act=921264 obj=990.77000 diff=0.00349
iter=247 terr=0.00021 serr=0.00273 act=921264 obj=988.88867 diff=0.00190
iter=248 terr=0.00020 serr=0.00262 act=921264 obj=980.68262 diff=0.00830
iter=249 terr=0.00018 serr=0.00241 act=921264 obj=974.85884 diff=0.00594
iter=250 terr=0.00017 serr=0.00231 act=921264 obj=967.46636 diff=0.00758
iter=251 terr=0.00016 serr=0.00210 act=921264 obj=962.76435 diff=0.00486
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iter=255 terr=0.00014 serr=0.00189 act=921264 obj=951.93036 diff=0.00658
iter=256 terr=0.00014 serr=0.00178 act=921264 obj=945.88857 diff=0.00635
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iter=258 terr=0.00014 serr=0.00189 act=921264 obj=941.71045 diff=0.00154
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iter=263 terr=0.00012 serr=0.00157 act=921264 obj=932.95830 diff=0.00101
iter=264 terr=0.00012 serr=0.00157 act=921264 obj=930.69874 diff=0.00242
iter=265 terr=0.00013 serr=0.00168 act=921264 obj=926.93453 diff=0.00404
iter=266 terr=0.00016 serr=0.00168 act=921264 obj=924.20425 diff=0.00295
iter=267 terr=0.00013 serr=0.00168 act=921264 obj=922.67707 diff=0.00165
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iter=269 terr=0.00014 serr=0.00178 act=921264 obj=920.60084 diff=0.00077
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iter=276 terr=0.00012 serr=0.00126 act=921264 obj=904.72858 diff=0.00198
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iter=285 terr=0.00011 serr=0.00126 act=921264 obj=883.95840 diff=0.00686
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iter=289 terr=0.00010 serr=0.00115 act=921264 obj=868.76429 diff=0.00413
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iter=313 terr=0.00008 serr=0.00094 act=921264 obj=826.66198 diff=0.00252
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iter=472 terr=0.00006 serr=0.00073 act=921264 obj=750.20218 diff=0.00018
iter=473 terr=0.00006 serr=0.00073 act=921264 obj=750.13184 diff=0.00009
iter=474 terr=0.00006 serr=0.00073 act=921264 obj=750.02735 diff=0.00014
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iter=476 terr=0.00006 serr=0.00063 act=921264 obj=749.84347 diff=0.00013
iter=477 terr=0.00006 serr=0.00063 act=921264 obj=749.76246 diff=0.00011
iter=478 terr=0.00006 serr=0.00063 act=921264 obj=749.71298 diff=0.00007
iter=479 terr=0.00006 serr=0.00063 act=921264 obj=749.68684 diff=0.00003
iter=480 terr=0.00006 serr=0.00063 act=921264 obj=749.58654 diff=0.00013
iter=481 terr=0.00006 serr=0.00073 act=921264 obj=749.56428 diff=0.00003
iter=482 terr=0.00006 serr=0.00063 act=921264 obj=749.45518 diff=0.00015
iter=483 terr=0.00006 serr=0.00063 act=921264 obj=749.41161 diff=0.00006
iter=484 terr=0.00006 serr=0.00063 act=921264 obj=749.34426 diff=0.00009
iter=485 terr=0.00006 serr=0.00063 act=921264 obj=749.40436 diff=0.00008

Done!842.40 s

-> Setting up chunker: chunker_cp
--> Chunk propagation
2017-06-14 20:31:34,956 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100539.xml
(ChunkerEvaluator) Sentence #1 from 00100539 from sent1

Text  : Mosty Średzkie
Tokens: 1____ 2_______

Chunks:
  TruePositive nam [1,2] = Mosty Średzkie (confidence=0.89)

(ChunkerEvaluator) Sentence #2 from 00100539 from sent2

Text  : Mosty Średzkie , to zespół czterech mostów , stanowiących przeprawę nad rzeką Bystrzyca we Wrocławiu ,_ w_ rejonie osiedla Leśnica ._
Tokens: 1____ 2_______ 3 4_ 5_____ 6_______ 7_____ 8 9___________ 10_______ 11_ 12___ 13_______ 14 15_______ 16 17 18_____ 19_____ 20_____ 21

Chunks:
  TruePositive nam [1,2] = Mosty Średzkie (confidence=0.94)
  TruePositive nam [13,13] = Bystrzyca (confidence=1.00)
  TruePositive nam [15,15] = Wrocławiu (confidence=0.99)
  TruePositive nam [20,20] = Leśnica (confidence=0.97)

(ChunkerEvaluator) Sentence #3 from 00100539 from sent3

Text  : Mosty zlokalizowane są w ciągu ulic : Ulica Kosmonautów –_ Ulica Średzka ,_ stanowiących część drogi krajowej nr 94 ._
Tokens: 1____ 2____________ 3_ 4 5____ 6___ 7 8____ 9__________ 10 11___ 12_____ 13 14__________ 15___ 16___ 17______ 18 19 20

Chunks:
  TruePositive nam [16,19] = drogi krajowej nr 94 (confidence=0.96)
  FalsePositive nam [8,9] = Ulica Kosmonautów (confidence=1.00) (incorrect boundry)
  FalsePositive nam [11,12] = Ulica Średzka (confidence=0.99) (incorrect boundry)
  FalseNegative nam [9,9] = Kosmonautów
  FalseNegative nam [12,12] = Średzka

(ChunkerEvaluator) Sentence #4 from 00100539 from sent4

Text  : Na Mosty Średzkie składają się dwa mosty stare wybudowane w_ 1948 roku w_ miejscu zburzonych podczas działań wojennych i_ dwa mosty nowe wybudowane w_ 1995 roku ._
Tokens: 1_ 2____ 3_______ 4_______ 5__ 6__ 7____ 8____ 9_________ 10 11__ 12__ 13 14_____ 15________ 16_____ 17_____ 18_______ 19 20_ 21___ 22__ 23________ 24 25__ 26__ 27

Chunks:
  TruePositive nam [2,3] = Mosty Średzkie (confidence=0.87)

(ChunkerEvaluator) Sentence #5 from 00100539 from sent5

Text  : Mosty wschodnie , stary i nowy , przerzucone są nad głównym korytem rzeki Bystrzyca ._
Tokens: 1____ 2________ 3 4____ 5 6___ 7 8__________ 9_ 10_ 11_____ 12_____ 13___ 14_______ 15

Chunks:
  TruePositive nam [14,14] = Bystrzyca (confidence=1.00)

(ChunkerEvaluator) Sentence #6 from 00100539 from sent6

Text  : Mosty zachodnie , stary i nowy , przerzucone są nad ramieniem bocznym –_ młynówką odprowadzającą wodę z_ Młyna Leśnica ._
Tokens: 1____ 2________ 3 4____ 5 6___ 7 8__________ 9_ 10_ 11_______ 12_____ 13 14______ 15____________ 16__ 17 18___ 19_____ 20

Chunks:
  TruePositive nam [18,19] = Młyna Leśnica (confidence=1.00)

(ChunkerEvaluator) Sentence #7 from 00100539 from sent7

Text  : Obecnie , po regulacjach rzeki przeprowadzonych także w tym rejonie ,_ dla potrzeb budowy Zbiornika Mietków ,_ z_ dawnej młynówki pozostał końcowy odcinek zasilany wodami potoku Leśna ._
Tokens: 1______ 2 3_ 4__________ 5____ 6_______________ 7____ 8 9__ 10_____ 11 12_ 13_____ 14____ 15_______ 16_____ 17 18 19____ 20______ 21______ 22_____ 23_____ 24______ 25____ 26____ 27___ 28

Chunks:
  TruePositive nam [15,16] = Zbiornika Mietków (confidence=1.00)
  TruePositive nam [27,27] = Leśna (confidence=1.00)

(ChunkerEvaluator) Sentence #8 from 00100539 from sent8

Text  : W skład tego zespołu mostów wchodzą następujące mosty :
Tokens: 1 2____ 3___ 4______ 5_____ 6______ 7__________ 8____ 9

Chunks:

(ChunkerEvaluator) Sentence #9 from 00100539 from sent9

Text  : nowy most Średzki wschodni
Tokens: 1___ 2___ 3______ 4_______

Chunks:
  FalsePositive nam [3,3] = Średzki (confidence=0.99) (incorrect boundry)
  FalseNegative nam [2,4] = most Średzki wschodni

(ChunkerEvaluator) Sentence #10 from 00100539 from sent10

Text  : nowy most Średzki zachodni
Tokens: 1___ 2___ 3______ 4_______

Chunks:
  FalsePositive nam [3,3] = Średzki (confidence=0.99) (incorrect boundry)
  FalseNegative nam [2,4] = most Średzki zachodni

(ChunkerEvaluator) Sentence #11 from 00100539 from sent11

Text  : stary most Średzki wschodni ( Weistritz Brücke )
Tokens: 1____ 2___ 3______ 4_______ 5 6________ 7_____ 8

Chunks:
  TruePositive nam [6,7] = Weistritz Brücke (confidence=0.45)
  FalsePositive nam [3,3] = Średzki (confidence=0.94) (incorrect boundry)
  FalseNegative nam [2,4] = most Średzki wschodni

(ChunkerEvaluator) Sentence #12 from 00100539 from sent12

Text  : stary most Średzki zachodni ( Mühlgrabenbrücke ) .
Tokens: 1____ 2___ 3______ 4_______ 5 6_______________ 7 8

Chunks:
  TruePositive nam [6,6] = Mühlgrabenbrücke (confidence=0.73)
  FalsePositive nam [3,3] = Średzki (confidence=0.86) (incorrect boundry)
  FalseNegative nam [2,4] = most Średzki zachodni

(ChunkerEvaluator) Sentence #13 from 00100539 from sent13

Text  : Nowe mosty zostały wybudowane na południu , powyżej mostów starych ._
Tokens: 1___ 2____ 3______ 4_________ 5_ 6_______ 7 8______ 9_____ 10_____ 11

Chunks:

(ChunkerEvaluator) Sentence #14 from 00100539 from sent14

Text  : Historia
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #15 from 00100539 from sent15

Text  : Obecne mosty , to konstrukcje wybudowane już w okresie powojennym ._
Tokens: 1_____ 2____ 3 4_ 5__________ 6_________ 7__ 8 9______ 10________ 11

Chunks:

(ChunkerEvaluator) Sentence #16 from 00100539 from sent16

Text  : W miejscu tym istniały przeprawy mostowe znacznie wcześniej .
Tokens: 1 2______ 3__ 4_______ 5________ 6______ 7_______ 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #17 from 00100539 from sent17

Text  : Początkowo były to mosty drewniane , które w ciągu historii ulegały wielokrotnie zniszczeniom i_ były odbudowywane ._
Tokens: 1_________ 2___ 3_ 4____ 5________ 6 7____ 8 9____ 10______ 11_____ 12__________ 13__________ 14 15__ 16__________ 17

Chunks:

(ChunkerEvaluator) Sentence #18 from 00100539 from sent18

Text  : Przed wojną istniały w tym miejscu mosty łukowe , betonowe ,_ wybudowane w_ latach 1909 –_ 1912 podczas regulacji rzeki ._
Tokens: 1____ 2____ 3_______ 4 5__ 6______ 7____ 8_____ 9 10______ 11 12________ 13 14____ 15__ 16 17__ 18_____ 19_______ 20___ 21

Chunks:

(ChunkerEvaluator) Sentence #19 from 00100539 from sent19

Text  : Zniszczone podczas działań wojennych w 1945 roku , zostały odbudowane w_ 1948 roku ._
Tokens: 1_________ 2______ 3______ 4________ 5 6___ 7___ 8 9______ 10________ 11 12__ 13__ 14

Chunks:

(ChunkerEvaluator) Sentence #20 from 00100539 from sent20

Text  : W 1952 roku przeprowadzono przez mosty wybudowaną linię tramwajową do Leśnicy ._
Tokens: 1 2___ 3___ 4_____________ 5____ 6____ 7_________ 8____ 9_________ 10 11_____ 12

Chunks:
  TruePositive nam [11,11] = Leśnicy (confidence=1.00)

(ChunkerEvaluator) Sentence #21 from 00100539 from sent21

Text  : Znaczące zwiększenie natężenia ruchu wymusiło budowę nowych mostów , równolegle do starych ,_ tak aby rozdzielić kolidujący na ze sobą na starych mostach ruch samochodowy i_ tramwajowy ._
Tokens: 1_______ 2__________ 3________ 4____ 5_______ 6_____ 7_____ 8_____ 9 10________ 11 12_____ 13 14_ 15_ 16________ 17________ 18 19 20__ 21 22_____ 23_____ 24__ 25_________ 26 27________ 28

Chunks:

(ChunkerEvaluator) Sentence #22 from 00100539 from sent22

Text  : Przed wybudowaniem w 1995 roku nowych mostów dla ruchu tramwajowego ,_ podwójna linia tramwajowa redukowana była przed mostami starymi do pojedynczego toru ,_ a_ ruch tramwajowy odbywał się w_ pasie drogowym ._
Tokens: 1____ 2___________ 3 4___ 5___ 6_____ 7_____ 8__ 9____ 10__________ 11 12______ 13___ 14________ 15________ 16__ 17___ 18_____ 19_____ 20 21__________ 22__ 23 24 25__ 26________ 27_____ 28_ 29 30___ 31______ 32

Chunks:

(ChunkerEvaluator) Sentence #23 from 00100539 from sent23

Text  : Obecnie nowe mosty zapewniają możliwość przeprawy na dwóch torach dla ruchu tramwajowego ,_ a_ na starych mostach pozostawiono jezdnię dla ruchu kołowego ._
Tokens: 1______ 2___ 3____ 4_________ 5________ 6________ 7_ 8____ 9_____ 10_ 11___ 12__________ 13 14 15 16_____ 17_____ 18__________ 19_____ 20_ 21___ 22______ 23

Chunks:

(ChunkerEvaluator) Sentence #24 from 00100539 from sent24

Text  : Konstrukcja
Tokens: 1__________

Chunks:

(ChunkerEvaluator) Sentence #25 from 00100539 from sent25

Text  : Mosty stare , to mosty jednoprzęsłowe , żelbetowe .
Tokens: 1____ 2____ 3 4_ 5____ 6_____________ 7 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #26 from 00100539 from sent26

Text  : Nawierzchnia jezdni bitumiczna .
Tokens: 1___________ 2_____ 3_________ 4

Chunks:

(ChunkerEvaluator) Sentence #27 from 00100539 from sent27

Text  : Nowe mosty zostały wybudowane również jako jednoprzęsłowe o konstrukcji w_ postaci łuku z_ pełnościennym ustrojem nośnym ,_ żelbetowym ._
Tokens: 1___ 2____ 3______ 4_________ 5______ 6___ 7_____________ 8 9__________ 10 11_____ 12__ 13 14___________ 15______ 16____ 17 18________ 19

Chunks:

(ChunkerEvaluator) Sentence #28 from 00100539 from sent28

Text  : Nawierzchnia jezdni , w której przebiegają dwa tory tramwajowe ,_ również bitumiczna ._
Tokens: 1___________ 2_____ 3 4 5_____ 6__________ 7__ 8___ 9_________ 10 11_____ 12________ 13

Chunks:

2017-06-14 20:31:35,061 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 2 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100629.xml
(ChunkerEvaluator) Sentence #29 from 00100629 from sent1

Text  : Miejska Kryta Pływalnia WODNIK w Ozorkowie informuje , iż od soboty 20 ._ 06 ._ 2009 r_ do końca wakacji tj ._ 31 ._ 08 ._ 2009 r_ od poniedziałku do soboty w_ godzinach 7_ ._ 00 do 15 ._ 00 (_ ostatnie wejście godzina 14 ._ 00 )_ ulgowy dla dzieci i_ młodzieży uczącej się do ukończenia 25 roku życia ,_ za okazaniem legitymacji wynosi 3_ zł /_ 60 min ._
Tokens: 1______ 2____ 3________ 4_____ 5 6________ 7________ 8 9_ 10 11____ 12 13 14 15 16__ 17 18 19___ 20_____ 21 22 23 24 25 26 27__ 28 29 30__________ 31 32____ 33 34_______ 35 36 37 38 39 40 41 42 43______ 44_____ 45_____ 46 47 48 49 50____ 51_ 52____ 53 54_______ 55_____ 56_ 57 58________ 59 60__ 61___ 62 63 64_______ 65_________ 66____ 67 68 69 70 71_ 72

Chunks:
  TruePositive nam [1,4] = Miejska Kryta Pływalnia WODNIK (confidence=0.97)
  TruePositive nam [6,6] = Ozorkowie (confidence=0.99)
  TruePositive nam [68,68] = zł (confidence=0.66)

(ChunkerEvaluator) Sentence #30 from 00100629 from sent2

Text  : W / w kwota nie podlega rozliczeniu z abonamentu ._
Tokens: 1 2 3 4____ 5__ 6______ 7__________ 8 9_________ 10

Chunks:

(ChunkerEvaluator) Sentence #31 from 00100629 from sent3

Text  : Oferta i szczegółowy cennik dostępny na stronie http://basen.umozorkow.pl .
Tokens: 1_____ 2 3__________ 4_____ 5_______ 6_ 7______ 8________________________ 9

Chunks:
  TruePositive nam [8,8] = http://basen.umozorkow.pl (confidence=0.97)
  FalsePositive nam [1,1] = Oferta (confidence=0.50) (incorrect boundry)

2017-06-14 20:31:35,086 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 3 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100641.xml
(ChunkerEvaluator) Sentence #32 from 00100641 from sent1

Text  : Koran / Wzajemne oszukiwanie
Tokens: 1____ 2 3_______ 4__________

Chunks:
  FalsePositive nam [1,1] = Koran (confidence=0.56) (incorrect boundry)
  FalseNegative nam [1,4] = Koran / Wzajemne oszukiwanie

(ChunkerEvaluator) Sentence #33 from 00100641 from sent2

Text  : Wzajemne oszukiwanie ( Znana też jako Zawód wzajemny ) Surah at -_ Taghâbun objawiona w_ Medynie
Tokens: 1_______ 2__________ 3 4____ 5__ 6___ 7____ 8_______ 9 10___ 11 12 13______ 14_______ 15 16_____

Chunks:
  TruePositive nam [10,13] = Surah at - Taghâbun (confidence=0.97)
  TruePositive nam [16,16] = Medynie (confidence=0.99)
  FalseNegative nam [1,2] = Wzajemne oszukiwanie
  FalseNegative nam [7,8] = Zawód wzajemny

(ChunkerEvaluator) Sentence #34 from 00100641 from sent3

Text  : W imię Boga Litościwego i Miłosiernego .
Tokens: 1 2___ 3___ 4__________ 5 6___________ 7

Chunks:
  FalsePositive nam [3,4] = Boga Litościwego (confidence=1.00) (incorrect boundry)
  FalsePositive nam [6,6] = Miłosiernego (confidence=0.85) (incorrect boundry)
  FalseNegative nam [3,3] = Boga

(ChunkerEvaluator) Sentence #35 from 00100641 from sent4

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #36 from 00100641 from sent5

Text  : Wszystko co jest w niebiosach i na ziemi , głosi chwałę Przedwiecznemu ._
Tokens: 1_______ 2_ 3___ 4 5_________ 6 7_ 8____ 9 10___ 11____ 12____________ 13

Chunks:
  TruePositive nam [12,12] = Przedwiecznemu (confidence=0.94)

(ChunkerEvaluator) Sentence #37 from 00100641 from sent6

Text  : Do Niego należy panowanie .
Tokens: 1_ 2____ 3_____ 4________ 5

Chunks:

(ChunkerEvaluator) Sentence #38 from 00100641 from sent7

Text  : Jemu oddawana być winna chwała .
Tokens: 1___ 2_______ 3__ 4____ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #39 from 00100641 from sent8

Text  : On tylko jeden może wszystko .
Tokens: 1_ 2____ 3____ 4___ 5_______ 6

Chunks:

(ChunkerEvaluator) Sentence #40 from 00100641 from sent9

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #41 from 00100641 from sent10

Text  : On wszystkich ludzi wyprowadził z niczego ; jedni z pomiędzy nich są niewierni ,_ a_ inni wierzą Bogu wiadome są wszystkie ich sprawy ._
Tokens: 1_ 2_________ 3____ 4__________ 5 6______ 7 8____ 9 10______ 11__ 12 13_______ 14 15 16__ 17____ 18__ 19_____ 20 21_______ 22_ 23____ 24

Chunks:
  TruePositive nam [18,18] = Bogu (confidence=1.00)

(ChunkerEvaluator) Sentence #42 from 00100641 from sent11

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #43 from 00100641 from sent12

Text  : On jest stworzycielem nieba i ziemi , prawda przewodniczyła Jego dziełu ;_ On i_ was utworzył ,_ nadając wam najlepsze formy ,_ wy do Niego powrócicie ._
Tokens: 1_ 2___ 3____________ 4____ 5 6____ 7 8_____ 9_____________ 10__ 11____ 12 13 14 15_ 16______ 17 18_____ 19_ 20_______ 21___ 22 23 24 25___ 26________ 27

Chunks:

(ChunkerEvaluator) Sentence #44 from 00100641 from sent13

Text  : 4 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #45 from 00100641 from sent14

Text  : Umiejętność Jego , ogarnia świat cały ; On wie co wy ukrywacie ,_ a_ co czynicie jawnie ,_ bo On czyta w_ głębi serc waszych ._
Tokens: 1__________ 2___ 3 4______ 5____ 6___ 7 8_ 9__ 10 11 12_______ 13 14 15 16______ 17____ 18 19 20 21___ 22 23___ 24__ 25_____ 26

Chunks:

(ChunkerEvaluator) Sentence #46 from 00100641 from sent15

Text  : 5 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #47 from 00100641 from sent16

Text  : Nie opowiadano wam dziejów niewiernych którzy was poprzedzili ?
Tokens: 1__ 2_________ 3__ 4______ 5__________ 6_____ 7__ 8__________ 9

Chunks:

(ChunkerEvaluator) Sentence #48 from 00100641 from sent17

Text  : oni odebrali karę za swe grzechy , i przeznaczeni zostali na piekielne męki ._
Tokens: 1__ 2_______ 3___ 4_ 5__ 6______ 7 8 9___________ 10_____ 11 12_______ 13__ 14

Chunks:

(ChunkerEvaluator) Sentence #49 from 00100641 from sent18

Text  : 6 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #50 from 00100641 from sent19

Text  : Apostołowie prawdy odkryli im cuda Najwyższego , a oni odpowiedzieli :_ Czyż dozwolimy aby nami ludzie rozrządzali ._
Tokens: 1__________ 2_____ 3______ 4_ 5___ 6__________ 7 8 9__ 10___________ 11 12__ 13_______ 14_ 15__ 16____ 17_________ 18

Chunks:
  FalsePositive nam [12,12] = Czyż (confidence=0.80) (incorrect boundry)
  FalseNegative nam [6,6] = Najwyższego

(ChunkerEvaluator) Sentence #51 from 00100641 from sent20

Text  : Niewierni odrzucili wiarę świętą , lecz Bóg ich nie potrzebuje ,_ On bowiem jest bogaty i_ otoczony chwałą ._
Tokens: 1________ 2________ 3____ 4_____ 5 6___ 7__ 8__ 9__ 10________ 11 12 13____ 14__ 15____ 16 17______ 18____ 19

Chunks:
  TruePositive nam [7,7] = Bóg (confidence=1.00)

(ChunkerEvaluator) Sentence #52 from 00100641 from sent21

Text  : 7 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #53 from 00100641 from sent22

Text  : Bałwochwalcy uważają zmartwychwstanie za bajkę ; lecz powiedz im ,_ że zmartwychwstaną ,_ Bóg im ukaże ich sprawy ,_ ten cud nie jest wcale trudnym dla Jego potęgi ._
Tokens: 1___________ 2______ 3_______________ 4_ 5____ 6 7___ 8______ 9_ 10 11 12_____________ 13 14_ 15 16___ 17_ 18____ 19 20_ 21_ 22_ 23__ 24___ 25_____ 26_ 27__ 28____ 29

Chunks:
  TruePositive nam [14,14] = Bóg (confidence=1.00)

(ChunkerEvaluator) Sentence #54 from 00100641 from sent23

Text  : 8 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #55 from 00100641 from sent24

Text  : Wierzcie w Boga , Jego posłańca i światłość zesłaną ,_ z_ nieba ._
Tokens: 1_______ 2 3___ 4 5___ 6_______ 7 8________ 9______ 10 11 12___ 13

Chunks:
  TruePositive nam [3,3] = Boga (confidence=1.00)

(ChunkerEvaluator) Sentence #56 from 00100641 from sent25

Text  : Bogu wiadome są wszystkie wasze czynności .
Tokens: 1___ 2______ 3_ 4________ 5____ 6________ 7

Chunks:
  FalseNegative nam [1,1] = Bogu

(ChunkerEvaluator) Sentence #57 from 00100641 from sent26

Text  : 9 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #58 from 00100641 from sent27

Text  : W dniu powszechnego zebrania , będzie to dzień wzajemnego zawodu ._
Tokens: 1 2___ 3___________ 4_______ 5 6_____ 7_ 8____ 9_________ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #59 from 00100641 from sent28

Text  : Bóg zgładzi grzechy wiernego , który przestrzegał cnoty ; On go wprowadzi do rozkosznych ogrodów gdzie płyną rzeki ,_ gdzie jest przybytek szczęśliwości ._
Tokens: 1__ 2______ 3______ 4_______ 5 6____ 7___________ 8____ 9 10 11 12_______ 13 14_________ 15_____ 16___ 17___ 18___ 19 20___ 21__ 22_______ 23___________ 24

Chunks:
  TruePositive nam [1,1] = Bóg (confidence=0.95)

(ChunkerEvaluator) Sentence #60 from 00100641 from sent29

Text  : 10 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #61 from 00100641 from sent30

Text  : Niewierni którzy wyrzekną , się świętej wiary , zostaną pogrążeni w_ płomieniach ,_ siedlisku wiecznego nieszczęścia ._
Tokens: 1________ 2_____ 3_______ 4 5__ 6______ 7____ 8 9______ 10_______ 11 12_________ 13 14_______ 15_______ 16__________ 17

Chunks:

(ChunkerEvaluator) Sentence #62 from 00100641 from sent31

Text  : 11 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #63 from 00100641 from sent32

Text  : Bez dopuszczenia Bożego , nic wam przytrafić się nie może ._
Tokens: 1__ 2___________ 3_____ 4 5__ 6__ 7_________ 8__ 9__ 10__ 11

Chunks:
  FalsePositive nam [3,3] = Bożego (confidence=0.69) (incorrect boundry)

(ChunkerEvaluator) Sentence #64 from 00100641 from sent33

Text  : On oświeca serce wiernego , Jego umiejętność jest nieskończona ._
Tokens: 1_ 2______ 3____ 4_______ 5 6___ 7__________ 8___ 9___________ 10

Chunks:

(ChunkerEvaluator) Sentence #65 from 00100641 from sent34

Text  : 12 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #66 from 00100641 from sent35

Text  : Bądźcie posłuszni Bogu i Jego posłańcowi , lecz jeśli odwrócicie się od niego ,_ nie jego będzie wina jego posłanie ogranicza się tylko na opowiadaniu prawdy ._
Tokens: 1______ 2________ 3___ 4 5___ 6_________ 7 8___ 9____ 10________ 11_ 12 13___ 14 15_ 16__ 17____ 18__ 19__ 20______ 21_______ 22_ 23___ 24 25_________ 26____ 27

Chunks:
  TruePositive nam [3,3] = Bogu (confidence=1.00)

(ChunkerEvaluator) Sentence #67 from 00100641 from sent36

Text  : 13 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #68 from 00100641 from sent37

Text  : Jeden jest tylko Bóg , niech wierni w Nim swą ufność położą ._
Tokens: 1____ 2___ 3____ 4__ 5 6____ 7_____ 8 9__ 10_ 11____ 12____ 13

Chunks:
  TruePositive nam [4,4] = Bóg (confidence=1.00)

(ChunkerEvaluator) Sentence #69 from 00100641 from sent38

Text  : 14 .
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #70 from 00100641 from sent39

Text  : Wierni !
Tokens: 1_____ 2

Chunks:

(ChunkerEvaluator) Sentence #71 from 00100641 from sent40

Text  : wasze żony i dzieci częstokroć są waszemi nieprzyjaciółmi , nie ufajcie ich pieszczotom ;_ lecz jeżeli głos przyrodzenia sprawi ,_ iż ustąpicie ich chęciom ,_ Bóg jest litościwy i_ miłosierny ._
Tokens: 1____ 2___ 3 4_____ 5_________ 6_ 7______ 8______________ 9 10_ 11_____ 12_ 13_________ 14 15__ 16____ 17__ 18__________ 19____ 20 21 22_______ 23_ 24_____ 25 26_ 27__ 28_______ 29 30________ 31

Chunks:
  TruePositive nam [26,26] = Bóg (confidence=1.00)

2017-06-14 20:31:35,200 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101165.xml
(ChunkerEvaluator) Sentence #72 from 00101165 from sent1

Text  : Niewidzialny Różowy Jednorożec ( ang . Invisible Pink Unicorn ,_ IPU )_ -_ bogini parodii religii ,_ będącej satyrą na wierzenia teistyczne ._
Tokens: 1___________ 2_____ 3_________ 4 5__ 6 7________ 8___ 9______ 10 11_ 12 13 14____ 15_____ 16_____ 17 18_____ 19____ 20 21_______ 22________ 23

Chunks:
  TruePositive nam [1,3] = Niewidzialny Różowy Jednorożec (confidence=0.62)
  TruePositive nam [7,9] = Invisible Pink Unicorn (confidence=0.99)
  TruePositive nam [11,11] = IPU (confidence=1.00)

(ChunkerEvaluator) Sentence #73 from 00101165 from sent2

Text  : Bogini przyjmuje kształt jednorożca , który jest paradoksalnie jednocześnie niewidzialny i_ różowy ._
Tokens: 1_____ 2________ 3______ 4_________ 5 6____ 7___ 8____________ 9___________ 10__________ 11 12____ 13

Chunks:

(ChunkerEvaluator) Sentence #74 from 00101165 from sent3

Text  : Te atrybuty mają w zamierzeniu być prześmiewcze wobec niektórych ,_ sprzecznych wewnętrznie ,_ atrybutów bogów teistycznych ._
Tokens: 1_ 2_______ 3___ 4 5__________ 6__ 7___________ 8____ 9_________ 10 11_________ 12_________ 13 14_______ 15___ 16__________ 17

Chunks:

(ChunkerEvaluator) Sentence #75 from 00101165 from sent4

Text  : Czyni to NRJ popularną figurą retoryczną używaną przez ateistów i_ innych sceptyków religijnych ._
Tokens: 1____ 2_ 3__ 4________ 5_____ 6_________ 7______ 8____ 9_______ 10 11____ 12_______ 13_________ 14

Chunks:
  TruePositive nam [3,3] = NRJ (confidence=0.58)

(ChunkerEvaluator) Sentence #76 from 00101165 from sent5

Text  : NRJ jest często używany do podkreślenia zauważonej sofizmatyczności czy arbitralności natury wierzeń w_ nadprzyrodzone ,_ na przykład poprzez zamienianie słowa "_ bóg "_ słowami "_ Niewidzialny Różowy Jednorożec "_ w_ każdym teistycznym twierdzeniu ._
Tokens: 1__ 2___ 3_____ 4______ 5_ 6___________ 7_________ 8_______________ 9__ 10___________ 11____ 12_____ 13 14____________ 15 16 17______ 18_____ 19_________ 20___ 21 22_ 23 24_____ 25 26__________ 27____ 28________ 29 30 31____ 32_________ 33_________ 34

Chunks:
  TruePositive nam [1,1] = NRJ (confidence=1.00)
  TruePositive nam [26,28] = Niewidzialny Różowy Jednorożec (confidence=0.99)

(ChunkerEvaluator) Sentence #77 from 00101165 from sent6

Text  : Zasadniczo można założyć , że nie ma aktualnie żadnych prawdziwych wyznawców tej fikcyjnej bogini ,_ niemniej stała się ona popularna ,_ szczególnie na stronach internetowych ateistów ,_ czy na forach dyskusyjnych ,_ gdzie udaje się wiarę w_ nią zarówno ze względu na humor ,_ jak i_ pewną formę krytyki czy satyry wierzeń teistycznych ._
Tokens: 1_________ 2____ 3______ 4 5_ 6__ 7_ 8________ 9______ 10_________ 11_______ 12_ 13_______ 14____ 15 16______ 17___ 18_ 19_ 20_______ 21 22_________ 23 24______ 25___________ 26______ 27 28_ 29 30____ 31__________ 32 33___ 34___ 35_ 36___ 37 38_ 39_____ 40 41_____ 42 43___ 44 45_ 46 47___ 48___ 49_____ 50_ 51____ 52_____ 53__________ 54

Chunks:

(ChunkerEvaluator) Sentence #78 from 00101165 from sent7

Text  : Te „ zapewnienia wiary ” mają w zamierzeniu demonstrować także trudności w_ obalaniu jakichkolwiek wierzeń w_ zjawiska poza ludzkim pojmowaniem ._
Tokens: 1_ 2 3__________ 4____ 5 6___ 7 8__________ 9___________ 10___ 11_______ 12 13______ 14___________ 15_____ 16 17______ 18__ 19_____ 20_________ 21

Chunks:

(ChunkerEvaluator) Sentence #79 from 00101165 from sent8

Text  : Historia
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #80 from 00101165 from sent9

Text  : Zagadnienie NRJ stało się zauważalne głównie dzięki Internetowi .
Tokens: 1__________ 2__ 3____ 4__ 5_________ 6______ 7_____ 8__________ 9

Chunks:
  TruePositive nam [2,2] = NRJ (confidence=0.98)
  TruePositive nam [8,8] = Internetowi (confidence=1.00)

(ChunkerEvaluator) Sentence #81 from 00101165 from sent10

Text  : Obecnie znanych jest wiele stron poświęconych tej tematyce .
Tokens: 1______ 2______ 3___ 4____ 5____ 6___________ 7__ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #82 from 00101165 from sent11

Text  : Najwcześniejsze znane , internetowe odniesienie do NRJ pojawiło się w_ Usenecie na grupie dyskusyjnej alt ._ atheism w_ lipcu 1990 roku ._
Tokens: 1______________ 2____ 3 4__________ 5__________ 6_ 7__ 8_______ 9__ 10 11______ 12 13____ 14_________ 15_ 16 17_____ 18 19___ 20__ 21__ 22

Chunks:
  TruePositive nam [7,7] = NRJ (confidence=0.97)
  TruePositive nam [11,11] = Usenecie (confidence=0.89)
  FalseNegative nam [15,17] = alt . atheism

(ChunkerEvaluator) Sentence #83 from 00101165 from sent12

Text  : Z czasem pojęcie to przeniknęło także do innych języków ._
Tokens: 1 2_____ 3______ 4_ 5__________ 6____ 7_ 8_____ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #84 from 00101165 from sent13

Text  : Później Steve Eley pisał :
Tokens: 1______ 2____ 3___ 4____ 5

Chunks:
  TruePositive nam [2,3] = Steve Eley (confidence=1.00)

(ChunkerEvaluator) Sentence #85 from 00101165 from sent14

Text  : W 1996 , podobny koncept - jednorożca , którego nikt nie może zobaczyć -_ był zaadaptowany jako figura edukacyjna na Camp Quest ,_ pierwszym obozie o_ charakterze świecko -_ wolnomyślicielskim dla dzieci ,_ założonym w_ USA ._
Tokens: 1 2___ 3 4______ 5______ 6 7_________ 8 9______ 10__ 11_ 12__ 13______ 14 15_ 16__________ 17__ 18____ 19________ 20 21__ 22___ 23 24_______ 25____ 26 27_________ 28_____ 29 30________________ 31_ 32____ 33 34_______ 35 36_ 37

Chunks:
  TruePositive nam [21,22] = Camp Quest (confidence=1.00)
  TruePositive nam [36,36] = USA (confidence=1.00)

(ChunkerEvaluator) Sentence #86 from 00101165 from sent15

Text  : Jak pisał później Cincinnati Enquirer : " Obozowicze muszą spróbować dowieść ,_ że wyobrażone jednorożce -_ jako metafora boga -_ nie istnieją ._ "_
Tokens: 1__ 2____ 3______ 4_________ 5_______ 6 7 8_________ 9____ 10_______ 11_____ 12 13 14________ 15________ 16 17__ 18______ 19__ 20 21_ 22______ 23 24

Chunks:
  TruePositive nam [4,5] = Cincinnati Enquirer (confidence=1.00)

(ChunkerEvaluator) Sentence #87 from 00101165 from sent16

Text  : Do podobnej figury odniósł się też Richard Dawkins w 2006 w_ swojej książce Bóg urojony ,_ pisząc tam :_ "_ Czajniczek Russella to oczywiście jeden z_ nieskończonych szeregów obiektów ,_ których istnienia nie można ani wykluczyć ,_ ani definitywnie odrzucić ._
Tokens: 1_ 2_______ 3_____ 4______ 5__ 6__ 7______ 8______ 9 10__ 11 12____ 13_____ 14_ 15_____ 16 17____ 18_ 19 20 21________ 22______ 23 24________ 25___ 26 27____________ 28______ 29______ 30 31_____ 32_______ 33_ 34___ 35_ 36_______ 37 38_ 39__________ 40______ 41

Chunks:
  TruePositive nam [7,8] = Richard Dawkins (confidence=1.00)
  FalsePositive nam [14,14] = Bóg (confidence=1.00) (incorrect boundry)
  FalsePositive nam [21,22] = Czajniczek Russella (confidence=0.86) (incorrect boundry)
  FalseNegative nam [14,15] = Bóg urojony
  FalseNegative nam [22,22] = Russella

(ChunkerEvaluator) Sentence #88 from 00101165 from sent17

Text  : [ . . . ]
Tokens: 1 2 3 4 5

Chunks:

(ChunkerEvaluator) Sentence #89 from 00101165 from sent18

Text  : Moim filozoficznym faworytem jest zaś niewidzialny , niematerialny , niewydający żadnych dźwięków jednorożec [_ ._ ._ ._ ]_ ._ "_
Tokens: 1___ 2____________ 3________ 4___ 5__ 6___________ 7 8____________ 9 10_________ 11_____ 12______ 13________ 14 15 16 17 18 19 20

Chunks:

(ChunkerEvaluator) Sentence #90 from 00101165 from sent19

Text  : Dogmaty
Tokens: 1______

Chunks:

(ChunkerEvaluator) Sentence #91 from 00101165 from sent20

Text  : Ponieważ Niewidzialny Różowy Jednorożec jest niewidzialny , nie można dowieść ,_ że nie istnieje ._
Tokens: 1_______ 2___________ 3_____ 4_________ 5___ 6___________ 7 8__ 9____ 10_____ 11 12 13_ 14______ 15

Chunks:
  TruePositive nam [2,4] = Niewidzialny Różowy Jednorożec (confidence=0.96)

(ChunkerEvaluator) Sentence #92 from 00101165 from sent21

Text  : Jest to parodia wszelkich teistycznych ( a także deistycznych )_ założeń o_ bogach ,_ w_ których bóg jest stwórcą wszechrzeczy i_ jako taki nie podlega własnym prawom ,_ i_ tym samym niemożliwość wykazania jego materialnego istnienia ,_ nie mówi nam nic o_ jego istnieniu bądź nieistnieniu ._
Tokens: 1___ 2_ 3______ 4________ 5___________ 6 7 8____ 9___________ 10 11_____ 12 13____ 14 15 16_____ 17_ 18__ 19_____ 20__________ 21 22__ 23__ 24_ 25_____ 26_____ 27____ 28 29 30_ 31___ 32__________ 33_______ 34__ 35__________ 36_______ 37 38_ 39__ 40_ 41_ 42 43__ 44_______ 45__ 46__________ 47

Chunks:

2017-06-14 20:31:35,317 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101177.xml
(ChunkerEvaluator) Sentence #93 from 00101177 from sent1

Text  : Godło Hongkongu
Tokens: 1____ 2________

Chunks:
  FalsePositive nam [1,2] = Godło Hongkongu (confidence=0.65) (incorrect boundry)
  FalseNegative nam [2,2] = Hongkongu

(ChunkerEvaluator) Sentence #94 from 00101177 from sent2

Text  : Godło Hongkongu zostało przyjęte 1 lipca 1997 wraz ze zwrotem Hongkongu Chinom przez Wielką Brytanię ._
Tokens: 1____ 2________ 3______ 4_______ 5 6____ 7___ 8___ 9_ 10_____ 11_______ 12____ 13___ 14____ 15______ 16

Chunks:
  TruePositive nam [11,11] = Hongkongu (confidence=0.99)
  TruePositive nam [12,12] = Chinom (confidence=0.59)
  TruePositive nam [14,15] = Wielką Brytanię (confidence=1.00)
  FalsePositive nam [1,2] = Godło Hongkongu (confidence=1.00) (incorrect boundry)
  FalseNegative nam [2,2] = Hongkongu

(ChunkerEvaluator) Sentence #95 from 00101177 from sent3

Text  : Godło przedstawia te same elementy , które umieszczono na fladze Hongkongu ._
Tokens: 1____ 2__________ 3_ 4___ 5_______ 6 7____ 8__________ 9_ 10____ 11_______ 12

Chunks:
  TruePositive nam [11,11] = Hongkongu (confidence=1.00)

(ChunkerEvaluator) Sentence #96 from 00101177 from sent4

Text  : Kwiat bauhinii symbolizuje ludność regionu , a pięć gwiazd pochodzi z_ chińskiej flagi i_ oznacza ,_ że Hongkong jest nieodłączną częścią Chińskiej Republiki Ludowej ._
Tokens: 1____ 2_______ 3__________ 4______ 5______ 6 7 8___ 9_____ 10______ 11 12_______ 13___ 14 15_____ 16 17 18______ 19__ 20_________ 21_____ 22_______ 23_______ 24_____ 25

Chunks:
  TruePositive nam [18,18] = Hongkong (confidence=0.99)
  TruePositive nam [22,24] = Chińskiej Republiki Ludowej (confidence=1.00)

(ChunkerEvaluator) Sentence #97 from 00101177 from sent5

Text  : Wokół centralnej części godła znajduje się oficjalna nazwa Hongkongu w_ języku chińskim :_ 中華人民共和國香港特別行政區 (_ Hongkong Specjalny Region Administracyjny Chińskiej Republiki Ludowej )_ oraz Hong Kong w_ języku angielskim ._
Tokens: 1____ 2_________ 3_____ 4____ 5_______ 6__ 7________ 8____ 9________ 10 11____ 12______ 13 14____________ 15 16______ 17_______ 18____ 19_____________ 20_______ 21_______ 22_____ 23 24__ 25__ 26__ 27 28____ 29________ 30

Chunks:
  TruePositive nam [9,9] = Hongkongu (confidence=1.00)
  TruePositive nam [16,22] = Hongkong Specjalny Region Administracyjny Chińskiej Republiki Ludowej (confidence=1.00)
  TruePositive nam [25,26] = Hong Kong (confidence=1.00)
  FalseNegative nam [14,14] = 中華人民共和國香港特別行政區

2017-06-14 20:31:35,342 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101211.xml
(ChunkerEvaluator) Sentence #98 from 00101211 from sent1

Text  : Rekordy mistrzostw Ameryki Południowej w lekkoatletyce
Tokens: 1______ 2_________ 3______ 4__________ 5 6____________

Chunks:
  FalsePositive nam [3,6] = Ameryki Południowej w lekkoatletyce (confidence=0.99) (incorrect boundry)
  FalseNegative nam [2,6] = mistrzostw Ameryki Południowej w lekkoatletyce

(ChunkerEvaluator) Sentence #99 from 00101211 from sent2

Text  : Rekordy Mistrzostw Ameryki Południowej w lekkoatletyce - najlepsze wyniki w_ historii tej imprezy ._
Tokens: 1______ 2_________ 3______ 4__________ 5 6____________ 7 8________ 9_____ 10 11______ 12_ 13_____ 14

Chunks:
  FalsePositive nam [2,4] = Mistrzostw Ameryki Południowej (confidence=0.80) (incorrect boundry)
  FalseNegative nam [2,6] = Mistrzostw Ameryki Południowej w lekkoatletyce

2017-06-14 20:31:35,349 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 7 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101273.xml
(ChunkerEvaluator) Sentence #100 from 00101273 from sent1

Text  : Zielonki - Wieś
Tokens: 1_______ 2 3___

Chunks:
  TruePositive nam [1,3] = Zielonki - Wieś (confidence=0.99)

(ChunkerEvaluator) Sentence #101 from 00101273 from sent2

Text  : Zielonki - Wieś – wieś w Polsce położona w województwie mazowieckim ,_ w_ powiecie warszawskim zachodnim ,_ w_ gminie Stare Babice ._
Tokens: 1_______ 2 3___ 4 5___ 6 7_____ 8_______ 9 10__________ 11_________ 12 13 14______ 15_________ 16_______ 17 18 19____ 20___ 21____ 22

Chunks:
  TruePositive nam [7,7] = Polsce (confidence=1.00)
  TruePositive nam [11,11] = mazowieckim (confidence=1.00)
  TruePositive nam [15,16] = warszawskim zachodnim (confidence=0.94)
  TruePositive nam [20,21] = Stare Babice (confidence=1.00)
  FalsePositive nam [1,1] = Zielonki (confidence=0.98) (incorrect boundry)
  FalsePositive nam [3,3] = Wieś (confidence=0.58) (incorrect boundry)
  FalseNegative nam [1,3] = Zielonki - Wieś

(ChunkerEvaluator) Sentence #102 from 00101273 from sent3

Text  : W latach 1975 - 1998 miejscowość administracyjnie należała do województwa warszawskiego ._
Tokens: 1 2_____ 3___ 4 5___ 6__________ 7_______________ 8_______ 9_ 10_________ 11___________ 12

Chunks:
  TruePositive nam [11,11] = warszawskiego (confidence=0.99)

(ChunkerEvaluator) Sentence #103 from 00101273 from sent4

Text  : Zielonki - Wieś powstała m . in . po parcelacji majątku Zielonki i_ obecnie funkcjonuja dwie wsie Zielonki -_ Parcela i_ Zielonki Wieś ,_ gdzie w_ pierwszej z_ nich znalazły się obiekty zabytkowe ._
Tokens: 1_______ 2 3___ 4_______ 5 6 7_ 8 9_ 10________ 11_____ 12______ 13 14_____ 15_________ 16__ 17__ 18______ 19 20_____ 21 22______ 23__ 24 25___ 26 27_______ 28 29__ 30______ 31_ 32_____ 33_______ 34

Chunks:
  TruePositive nam [1,3] = Zielonki - Wieś (confidence=0.99)
  TruePositive nam [12,12] = Zielonki (confidence=1.00)
  TruePositive nam [18,20] = Zielonki - Parcela (confidence=0.95)
  TruePositive nam [22,23] = Zielonki Wieś (confidence=0.92)

(ChunkerEvaluator) Sentence #104 from 00101273 from sent5

Text  : Wieś ulicówka przy drodze wojewódzkiej nr z Warszawy przez Leszno do Żelazowej Woli i_ Sochaczewa ,_ nazywanej dawniej Traktem Królewskim ._
Tokens: 1___ 2_______ 3___ 4_____ 5___________ 6_ 7 8_______ 9____ 10____ 11 12_______ 13__ 14 15________ 16 17_______ 18_____ 19_____ 20________ 21

Chunks:
  TruePositive nam [10,10] = Leszno (confidence=1.00)
  TruePositive nam [12,13] = Żelazowej Woli (confidence=1.00)
  TruePositive nam [15,15] = Sochaczewa (confidence=0.97)
  TruePositive nam [19,20] = Traktem Królewskim (confidence=1.00)
  FalsePositive nam [4,8] = drodze wojewódzkiej nr z Warszawy (confidence=0.72) (incorrect boundry)
  FalseNegative nam [8,8] = Warszawy

(ChunkerEvaluator) Sentence #105 from 00101273 from sent6

Text  : We wsi nieliczne już domy z przełomu XIX / XX wieku ,_ wypierane przez współczesne budownictwo podmiejskie ._
Tokens: 1_ 2__ 3________ 4__ 5___ 6 7_______ 8__ 9 10 11___ 12 13_______ 14___ 15_________ 16_________ 17_________ 18

Chunks:

(ChunkerEvaluator) Sentence #106 from 00101273 from sent7

Text  : We wsi znajdują się sklepy - część z nich zlokalizowana jest w_ pobliżu skrzyżowania z_ drogą do Lipkowa ,_ w_ zabudowaniach po PGR ._
Tokens: 1_ 2__ 3_______ 4__ 5_____ 6 7____ 8 9___ 10___________ 11__ 12 13_____ 14__________ 15 16___ 17 18_____ 19 20 21___________ 22 23_ 24

Chunks:
  TruePositive nam [18,18] = Lipkowa (confidence=1.00)
  TruePositive nam [23,23] = PGR (confidence=0.98)

2017-06-14 20:31:35,384 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 8 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101288.xml
(ChunkerEvaluator) Sentence #107 from 00101288 from sent1

Text  : XV Brygada Kawalerii
Tokens: 1_ 2______ 3________

Chunks:
  TruePositive nam [1,3] = XV Brygada Kawalerii (confidence=0.99)

(ChunkerEvaluator) Sentence #108 from 00101288 from sent2

Text  : XV Brygada Kawalerii ( XV BK ) – wielka jednostka kawalerii Wojska Polskiego II RP ._
Tokens: 1_ 2______ 3________ 4 5_ 6_ 7 8 9_____ 10_______ 11_______ 12____ 13_______ 14 15 16

Chunks:
  TruePositive nam [1,3] = XV Brygada Kawalerii (confidence=0.99)
  TruePositive nam [12,13] = Wojska Polskiego (confidence=0.99)
  TruePositive nam [14,15] = II RP (confidence=0.91)
  FalseNegative nam [5,6] = XV BK

(ChunkerEvaluator) Sentence #109 from 00101288 from sent3

Text  : Powstała w kwietniu 1924 w wyniku pokojowej reorganizacji wielkich jednostek jazdy ._
Tokens: 1_______ 2 3_______ 4___ 5 6_____ 7________ 8____________ 9_______ 10_______ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #110 from 00101288 from sent4

Text  : W tym okresie zmieniono również terminologię .
Tokens: 1 2__ 3______ 4________ 5______ 6___________ 7

Chunks:

(ChunkerEvaluator) Sentence #111 from 00101288 from sent5

Text  : Słowo " jazda " zamieniono na " kawaleria " ._
Tokens: 1____ 2 3____ 4 5_________ 6_ 7 8________ 9 10

Chunks:

(ChunkerEvaluator) Sentence #112 from 00101288 from sent6

Text  : Stacjonowała w garnizonie Grudziądz .
Tokens: 1___________ 2 3_________ 4________ 5

Chunks:
  FalsePositive nam [4,4] = Grudziądz (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,4] = garnizonie Grudziądz

(ChunkerEvaluator) Sentence #113 from 00101288 from sent7

Text  : Wchodziła w skład 3 Dywizji Kawalerii .
Tokens: 1________ 2 3____ 4 5______ 6________ 7

Chunks:
  TruePositive nam [4,6] = 3 Dywizji Kawalerii (confidence=1.00)

(ChunkerEvaluator) Sentence #114 from 00101288 from sent8

Text  : Dowódcy
Tokens: 1______

Chunks:

(ChunkerEvaluator) Sentence #115 from 00101288 from sent9

Text  : płk Erazm Stablewski
Tokens: 1__ 2____ 3_________

Chunks:
  TruePositive nam [2,3] = Erazm Stablewski (confidence=1.00)

(ChunkerEvaluator) Sentence #116 from 00101288 from sent10

Text  : Struktura organizacyjna
Tokens: 1________ 2____________

Chunks:

(ChunkerEvaluator) Sentence #117 from 00101288 from sent11

Text  : Dowództwo
Tokens: 1________

Chunks:

(ChunkerEvaluator) Sentence #118 from 00101288 from sent12

Text  : 18 Pułk Ułanów Pomorskich
Tokens: 1_ 2___ 3_____ 4_________

Chunks:
  FalsePositive nam [2,4] = Pułk Ułanów Pomorskich (confidence=0.75) (incorrect boundry)
  FalseNegative nam [1,4] = 18 Pułk Ułanów Pomorskich

(ChunkerEvaluator) Sentence #119 from 00101288 from sent13

Text  : 8 Pułk Strzelców Konnych
Tokens: 1 2___ 3________ 4______

Chunks:
  TruePositive nam [1,4] = 8 Pułk Strzelców Konnych (confidence=0.66)

(ChunkerEvaluator) Sentence #120 from 00101288 from sent14

Text  : Przeformowania
Tokens: 1_____________

Chunks:

(ChunkerEvaluator) Sentence #121 from 00101288 from sent15

Text  : W marcu 1929 XV BK przeformowana została w Brygadę Kawalerii "_ Toruń "_ i_ usamodzielniona ._
Tokens: 1 2____ 3___ 4_ 5_ 6____________ 7______ 8 9______ 10_______ 11 12___ 13 14 15_____________ 16

Chunks:
  TruePositive nam [9,12] = Brygadę Kawalerii " Toruń (confidence=1.00)
  FalseNegative nam [4,5] = XV BK

(ChunkerEvaluator) Sentence #122 from 00101288 from sent16

Text  : Jej skład uzupełniony został o 2 Pułk Szwoleżerów Rokitniańskich z_ rozformowanej 8_ Samodzielnej Brygady Kawalerii i_ 16 Pułk Ułanów Pomorskich ze zlikwidowanej XIV Brygady Kawalerii ._
Tokens: 1__ 2____ 3__________ 4_____ 5 6 7___ 8__________ 9_____________ 10 11___________ 12 13__________ 14_____ 15_______ 16 17 18__ 19____ 20________ 21 22___________ 23_ 24_____ 25_______ 26

Chunks:
  TruePositive nam [6,9] = 2 Pułk Szwoleżerów Rokitniańskich (confidence=0.85)
  TruePositive nam [17,20] = 16 Pułk Ułanów Pomorskich (confidence=0.77)
  TruePositive nam [23,25] = XIV Brygady Kawalerii (confidence=1.00)
  FalsePositive nam [13,15] = Samodzielnej Brygady Kawalerii (confidence=0.90) (incorrect boundry)
  FalseNegative nam [12,15] = 8 Samodzielnej Brygady Kawalerii

(ChunkerEvaluator) Sentence #123 from 00101288 from sent17

Text  : W kwietniu 1934 Dowództwo BK " Toruń " przeniesione zostało do garnizonu Bydgoszcz ,_ w_ związku z_ czym brygada przemianowana została na Brygadę Kawalerii "_ Bydgoszcz "_ ._
Tokens: 1 2_______ 3___ 4________ 5_ 6 7____ 8 9___________ 10_____ 11 12_______ 13_______ 14 15 16_____ 17 18__ 19_____ 20___________ 21_____ 22 23_____ 24_______ 25 26_______ 27 28

Chunks:
  TruePositive nam [23,26] = Brygadę Kawalerii " Bydgoszcz (confidence=0.99)
  FalsePositive nam [4,7] = Dowództwo BK " Toruń (confidence=0.97) (incorrect boundry)
  FalsePositive nam [13,13] = Bydgoszcz (confidence=1.00) (incorrect boundry)
  FalseNegative nam [5,7] = BK " Toruń
  FalseNegative nam [12,13] = garnizonu Bydgoszcz

(ChunkerEvaluator) Sentence #124 from 00101288 from sent18

Text  : 1 kwietnia 1937 BK " Bydgoszcz " przemianowana została na Pomorską Brygadę Kawalerii ._
Tokens: 1 2_______ 3___ 4_ 5 6________ 7 8____________ 9______ 10 11______ 12_____ 13_______ 14

Chunks:
  TruePositive nam [4,6] = BK " Bydgoszcz (confidence=0.92)
  TruePositive nam [11,13] = Pomorską Brygadę Kawalerii (confidence=0.99)

2017-06-14 20:31:35,427 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 9 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101321.xml
(ChunkerEvaluator) Sentence #125 from 00101321 from sent1

Text  : Kisielówka
Tokens: 1_________

Chunks:
  TruePositive nam [1,1] = Kisielówka (confidence=0.72)

(ChunkerEvaluator) Sentence #126 from 00101321 from sent2

Text  : Kisielówka – wieś w Polsce położona w województwie małopolskim ,_ w_ powiecie limanowskim ,_ w_ gminie Limanowa ._
Tokens: 1_________ 2 3___ 4 5_____ 6_______ 7 8___________ 9__________ 10 11 12______ 13_________ 14 15 16____ 17______ 18

Chunks:
  TruePositive nam [1,1] = Kisielówka (confidence=0.98)
  TruePositive nam [5,5] = Polsce (confidence=1.00)
  TruePositive nam [9,9] = małopolskim (confidence=1.00)
  TruePositive nam [13,13] = limanowskim (confidence=0.99)
  TruePositive nam [17,17] = Limanowa (confidence=1.00)

(ChunkerEvaluator) Sentence #127 from 00101321 from sent3

Text  : W latach 1975 - 1998 miejscowość administracyjnie należała do województwa nowosądeckiego ._
Tokens: 1 2_____ 3___ 4 5___ 6__________ 7_______________ 8_______ 9_ 10_________ 11____________ 12

Chunks:
  TruePositive nam [11,11] = nowosądeckiego (confidence=0.99)

(ChunkerEvaluator) Sentence #128 from 00101321 from sent4

Text  : We wsi znajduje się szkoła podstawowa , Wiejski Klub Kultury oraz remiza Ochotniczej Straży Pożarnej ._
Tokens: 1_ 2__ 3_______ 4__ 5_____ 6_________ 7 8______ 9___ 10_____ 11__ 12____ 13_________ 14____ 15______ 16

Chunks:
  TruePositive nam [8,10] = Wiejski Klub Kultury (confidence=1.00)
  TruePositive nam [13,15] = Ochotniczej Straży Pożarnej (confidence=1.00)

(ChunkerEvaluator) Sentence #129 from 00101321 from sent5

Text  : OSP Kisielówka została założona w 1958 r .
Tokens: 1__ 2_________ 3______ 4_______ 5 6___ 7 8

Chunks:
  TruePositive nam [1,2] = OSP Kisielówka (confidence=0.93)

2017-06-14 20:31:35,443 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 10 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101332.xml
(ChunkerEvaluator) Sentence #130 from 00101332 from sent1

Text  : Komunistyczna Partia Austrii
Tokens: 1____________ 2_____ 3______

Chunks:
  TruePositive nam [1,3] = Komunistyczna Partia Austrii (confidence=0.88)

(ChunkerEvaluator) Sentence #131 from 00101332 from sent2

Text  : Komunistyczna Partia Austrii – komunistyczna partia w Austrii , założona w_ 1918 roku ._
Tokens: 1____________ 2_____ 3______ 4 5____________ 6_____ 7 8______ 9 10______ 11 12__ 13__ 14

Chunks:
  TruePositive nam [1,3] = Komunistyczna Partia Austrii (confidence=0.83)
  TruePositive nam [8,8] = Austrii (confidence=1.00)

(ChunkerEvaluator) Sentence #132 from 00101332 from sent3

Text  : Partia publikuje Volkstimmen .
Tokens: 1_____ 2________ 3__________ 4

Chunks:
  TruePositive nam [3,3] = Volkstimmen (confidence=1.00)

(ChunkerEvaluator) Sentence #133 from 00101332 from sent4

Text  : Młodzieżówką partii jest Kommunistische Jugend Österreichs - Junge Linke ._
Tokens: 1___________ 2_____ 3___ 4_____________ 5_____ 6__________ 7 8____ 9____ 10

Chunks:
  FalsePositive nam [4,6] = Kommunistische Jugend Österreichs (confidence=1.00) (incorrect boundry)
  FalsePositive nam [8,9] = Junge Linke (confidence=1.00) (incorrect boundry)
  FalseNegative nam [4,9] = Kommunistische Jugend Österreichs - Junge Linke

(ChunkerEvaluator) Sentence #134 from 00101332 from sent5

Text  : W wyborach parlamentarnych w 2002 roku partia uzyskała 27 568 głosów (_ 0_ ,_ 56 %_ )_ ._
Tokens: 1 2_______ 3______________ 4 5___ 6___ 7_____ 8_______ 9_ 10_ 11____ 12 13 14 15 16 17 18

Chunks:

(ChunkerEvaluator) Sentence #135 from 00101332 from sent6

Text  : Nie udało się jej wówczas zdobyć żadnego mandatu w parlamencie ._
Tokens: 1__ 2____ 3__ 4__ 5______ 6_____ 7______ 8______ 9 10_________ 11

Chunks:

2017-06-14 20:31:35,460 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 11 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101338.xml
(ChunkerEvaluator) Sentence #136 from 00101338 from sent1

Text  : Christelle Gros
Tokens: 1_________ 2___

Chunks:
  TruePositive nam [1,2] = Christelle Gros (confidence=0.99)

(ChunkerEvaluator) Sentence #137 from 00101338 from sent2

Text  : Christelle Gros ( ur . 19 maja 1975 w Oyonnax )_ –_ była biathlonistka francuska ._
Tokens: 1_________ 2___ 3 4_ 5 6_ 7___ 8___ 9 10_____ 11 12 13__ 14___________ 15_______ 16

Chunks:
  TruePositive nam [1,2] = Christelle Gros (confidence=1.00)
  TruePositive nam [10,10] = Oyonnax (confidence=0.99)

(ChunkerEvaluator) Sentence #138 from 00101338 from sent3

Text  : Reprezentowała swój kraj na ZIO 1998 , zajmując tam ze sztafetą 8_ ._ miejsce ._
Tokens: 1_____________ 2___ 3___ 4_ 5__ 6___ 7 8_______ 9__ 10 11______ 12 13 14_____ 15

Chunks:
  TruePositive nam [5,5] = ZIO (confidence=0.78)

(ChunkerEvaluator) Sentence #139 from 00101338 from sent4

Text  : Zdobywczyni brązowego medalu Mistrzostw Świata .
Tokens: 1__________ 2________ 3_____ 4_________ 5_____ 6

Chunks:
  TruePositive nam [4,5] = Mistrzostw Świata (confidence=1.00)

(ChunkerEvaluator) Sentence #140 from 00101338 from sent5

Text  : W 2007 zakończyła karierę .
Tokens: 1 2___ 3_________ 4______ 5

Chunks:

2017-06-14 20:31:35,472 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 12 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101361.xml
(ChunkerEvaluator) Sentence #141 from 00101361 from sent1

Text  : Centrum Kształcenia Inżynierów
Tokens: 1______ 2__________ 3_________

Chunks:
  TruePositive nam [1,3] = Centrum Kształcenia Inżynierów (confidence=0.75)

(ChunkerEvaluator) Sentence #142 from 00101361 from sent2

Text  : Centrum Kształcenia Inżynierów ( CKI ) jest pozawydziałową jednostką Politechniki Śląskiej działającą w_ Rybniku ._
Tokens: 1______ 2__________ 3_________ 4 5__ 6 7___ 8_____________ 9________ 10__________ 11______ 12________ 13 14_____ 15

Chunks:
  TruePositive nam [1,3] = Centrum Kształcenia Inżynierów (confidence=0.74)
  TruePositive nam [5,5] = CKI (confidence=1.00)
  TruePositive nam [10,11] = Politechniki Śląskiej (confidence=1.00)
  TruePositive nam [14,14] = Rybniku (confidence=1.00)

(ChunkerEvaluator) Sentence #143 from 00101361 from sent3

Text  : Ośrodek ten powstał w roku 1962 i w chwili obecnej kształci studentów na sześciu wydziałach w_ trybie dziennym ,_ wieczorowym i_ zaocznym ._
Tokens: 1______ 2__ 3______ 4 5___ 6___ 7 8 9_____ 10_____ 11______ 12_______ 13 14_____ 15________ 16 17____ 18______ 19 20_________ 21 22______ 23

Chunks:

(ChunkerEvaluator) Sentence #144 from 00101361 from sent4

Text  : Jednostka prowadzi działalność laboratoryjno - dydaktyczną .
Tokens: 1________ 2_______ 3__________ 4____________ 5 6__________ 7

Chunks:

(ChunkerEvaluator) Sentence #145 from 00101361 from sent5

Text  : Kierunki studiów
Tokens: 1_______ 2______

Chunks:

(ChunkerEvaluator) Sentence #146 from 00101361 from sent6

Text  : Budownictwo
Tokens: 1__________

Chunks:

(ChunkerEvaluator) Sentence #147 from 00101361 from sent7

Text  : Elektrotechnika
Tokens: 1______________

Chunks:

(ChunkerEvaluator) Sentence #148 from 00101361 from sent8

Text  : Górnictwo i Geologia
Tokens: 1________ 2 3_______

Chunks:
  FalsePositive nam [3,3] = Geologia (confidence=0.57) (incorrect boundry)

(ChunkerEvaluator) Sentence #149 from 00101361 from sent9

Text  : Informatyka
Tokens: 1__________

Chunks:

(ChunkerEvaluator) Sentence #150 from 00101361 from sent10

Text  : Inżynieria Środowiska
Tokens: 1_________ 2_________

Chunks:
  FalsePositive nam [1,2] = Inżynieria Środowiska (confidence=0.82) (incorrect boundry)

(ChunkerEvaluator) Sentence #151 from 00101361 from sent11

Text  : Zarządzanie i Inżynieria Produkcji
Tokens: 1__________ 2 3_________ 4________

Chunks:
  FalsePositive nam [3,4] = Inżynieria Produkcji (confidence=0.89) (incorrect boundry)

(ChunkerEvaluator) Sentence #152 from 00101361 from sent12

Text  : Zarządzanie i Marketing
Tokens: 1__________ 2 3________

Chunks:
  FalsePositive nam [3,3] = Marketing (confidence=0.97) (incorrect boundry)

(ChunkerEvaluator) Sentence #153 from 00101361 from sent13

Text  : Budynki
Tokens: 1______

Chunks:

(ChunkerEvaluator) Sentence #154 from 00101361 from sent14

Text  : Budynek Główny ul . T . Kościuszki 54
Tokens: 1______ 2_____ 3_ 4 5 6 7_________ 8_

Chunks:
  TruePositive nam [5,7] = T . Kościuszki (confidence=0.99)
  FalseNegative nam [1,2] = Budynek Główny

(ChunkerEvaluator) Sentence #155 from 00101361 from sent15

Text  : Pawilon dydaktyczno - laboratoryjny ul . T . Kościuszki 54
Tokens: 1______ 2__________ 3 4____________ 5_ 6 7 8 9_________ 10

Chunks:
  TruePositive nam [7,9] = T . Kościuszki (confidence=1.00)

(ChunkerEvaluator) Sentence #156 from 00101361 from sent16

Text  : Segment dydaktyczny ul . T . Kościuszki 5
Tokens: 1______ 2__________ 3_ 4 5 6 7_________ 8

Chunks:
  TruePositive nam [5,7] = T . Kościuszki (confidence=1.00)

(ChunkerEvaluator) Sentence #157 from 00101361 from sent17

Text  : Budynek dydaktyczny ul . Rudzka 13
Tokens: 1______ 2__________ 3_ 4 5_____ 6_

Chunks:
  FalsePositive nam [5,6] = Rudzka 13 (confidence=1.00) (incorrect boundry)
  FalseNegative nam [5,5] = Rudzka

(ChunkerEvaluator) Sentence #158 from 00101361 from sent18

Text  : Laboratorium Nowoczesnych Technologii Przemysłowych , ul . Rudzka 13
Tokens: 1___________ 2___________ 3__________ 4____________ 5 6_ 7 8_____ 9_

Chunks:
  FalsePositive nam [2,4] = Nowoczesnych Technologii Przemysłowych (confidence=0.93) (incorrect boundry)
  FalsePositive nam [8,9] = Rudzka 13 (confidence=1.00) (incorrect boundry)
  FalseNegative nam [1,4] = Laboratorium Nowoczesnych Technologii Przemysłowych
  FalseNegative nam [8,8] = Rudzka

(ChunkerEvaluator) Sentence #159 from 00101361 from sent19

Text  : Laboratoria Informatyczne CUTI , ul . Rudzka 13
Tokens: 1__________ 2____________ 3___ 4 5_ 6 7_____ 8_

Chunks:
  FalsePositive nam [2,3] = Informatyczne CUTI (confidence=0.70) (incorrect boundry)
  FalsePositive nam [7,8] = Rudzka 13 (confidence=1.00) (incorrect boundry)
  FalseNegative nam [1,2] = Laboratoria Informatyczne
  FalseNegative nam [3,3] = CUTI
  FalseNegative nam [7,7] = Rudzka

(ChunkerEvaluator) Sentence #160 from 00101361 from sent20

Text  : Studenckie Koła Naukowe
Tokens: 1_________ 2___ 3______

Chunks:
  FalsePositive nam [1,3] = Studenckie Koła Naukowe (confidence=0.70) (incorrect boundry)

(ChunkerEvaluator) Sentence #161 from 00101361 from sent21

Text  : Studenckie Koło Naukowe Energetyki Komunalnej
Tokens: 1_________ 2___ 3______ 4_________ 5_________

Chunks:
  TruePositive nam [1,5] = Studenckie Koło Naukowe Energetyki Komunalnej (confidence=0.83)

(ChunkerEvaluator) Sentence #162 from 00101361 from sent22

Text  : Studenckie Koło Naukowe Linuksa i Wolnego Oprogramowania
Tokens: 1_________ 2___ 3______ 4______ 5 6______ 7_____________

Chunks:
  TruePositive nam [1,7] = Studenckie Koło Naukowe Linuksa i Wolnego Oprogramowania (confidence=0.71)

(ChunkerEvaluator) Sentence #163 from 00101361 from sent23

Text  : Studenckie Koło Naukowe " Trwałość "
Tokens: 1_________ 2___ 3______ 4 5_______ 6

Chunks:
  TruePositive nam [1,6] = Studenckie Koło Naukowe " Trwałość " (confidence=0.96)

(ChunkerEvaluator) Sentence #164 from 00101361 from sent24

Text  : Studenckie Koło Audytorów Energetycznych w Rybniku " SKAnER "
Tokens: 1_________ 2___ 3________ 4_____________ 5 6______ 7 8_____ 9

Chunks:
  FalsePositive nam [1,4] = Studenckie Koło Audytorów Energetycznych (confidence=0.75) (incorrect boundry)
  FalsePositive nam [6,9] = Rybniku " SKAnER " (confidence=0.80) (incorrect boundry)
  FalseNegative nam [1,9] = Studenckie Koło Audytorów Energetycznych w Rybniku " SKAnER "

(ChunkerEvaluator) Sentence #165 from 00101361 from sent25

Text  : Studenckie Koło Naukowe " Miłośnicy Algorytmów "
Tokens: 1_________ 2___ 3______ 4 5________ 6_________ 7

Chunks:
  FalsePositive nam [1,3] = Studenckie Koło Naukowe (confidence=0.94) (incorrect boundry)
  FalsePositive nam [5,6] = Miłośnicy Algorytmów (confidence=0.84) (incorrect boundry)
  FalseNegative nam [1,7] = Studenckie Koło Naukowe " Miłośnicy Algorytmów "

2017-06-14 20:31:35,516 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 13 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101363.xml
(ChunkerEvaluator) Sentence #166 from 00101363 from sent1

Text  : Audi 50
Tokens: 1___ 2_

Chunks:
  TruePositive nam [1,2] = Audi 50 (confidence=0.82)

(ChunkerEvaluator) Sentence #167 from 00101363 from sent2

Text  : Audi 50 ( nazwa robocza Typ 86 ) to samochód segmentu B_ produkowany przez niemiecką firmę Audi w_ latach 1974 -_ 1978 ._
Tokens: 1___ 2_ 3 4____ 5______ 6__ 7_ 8 9_ 10______ 11______ 12 13_________ 14___ 15_______ 16___ 17__ 18 19____ 20__ 21 22__ 23

Chunks:
  TruePositive nam [1,2] = Audi 50 (confidence=0.82)
  TruePositive nam [17,17] = Audi (confidence=1.00)

(ChunkerEvaluator) Sentence #168 from 00101363 from sent3

Text  : Historia i opis modelu
Tokens: 1_______ 2 3___ 4_____

Chunks:

(ChunkerEvaluator) Sentence #169 from 00101363 from sent4

Text  : Produkowany był w fabryce Volkswagena w Wolfsburgu , a sprzedawany wyłącznie w_ Europie ._
Tokens: 1__________ 2__ 3 4______ 5__________ 6 7_________ 8 9 10_________ 11_______ 12 13_____ 14

Chunks:
  TruePositive nam [5,5] = Volkswagena (confidence=1.00)
  TruePositive nam [7,7] = Wolfsburgu (confidence=1.00)
  TruePositive nam [13,13] = Europie (confidence=1.00)

(ChunkerEvaluator) Sentence #170 from 00101363 from sent5

Text  : Auto dostępne było jako trzydrzwiowy hatchback , z silnikiem benzynowym o_ pojemności 1093 cm³ ,_ o_ mocy 50 KM (_ 37 kW )_ w_ wersji LS i_ 60 KM (_ 44 kW )_ w_ wersji GL ._
Tokens: 1___ 2_______ 3___ 4___ 5___________ 6________ 7 8 9________ 10________ 11 12________ 13__ 14_ 15 16 17__ 18 19 20 21 22 23 24 25____ 26 27 28 29 30 31 32 33 34 35____ 36 37

Chunks:
  FalsePositive nam [26,26] = LS (confidence=0.99) (incorrect boundry)
  FalsePositive nam [36,36] = GL (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #171 from 00101363 from sent6

Text  : Model ten stał się popularny dzięki niskiej cenie zakupu i_ niskich kosztach eksploatacji ._
Tokens: 1____ 2__ 3___ 4__ 5________ 6_____ 7______ 8____ 9_____ 10 11_____ 12______ 13__________ 14

Chunks:

(ChunkerEvaluator) Sentence #172 from 00101363 from sent7

Text  : Od 1975 roku samochód sprzedawany był również jako Volkswagen Polo w_ szerszej ofercie wersji silnikowej oraz z_ innym wyposażeniem ._
Tokens: 1_ 2___ 3___ 4_______ 5__________ 6__ 7______ 8___ 9_________ 10__ 11 12______ 13_____ 14____ 15________ 16__ 17 18___ 19__________ 20

Chunks:
  TruePositive nam [9,10] = Volkswagen Polo (confidence=1.00)

(ChunkerEvaluator) Sentence #173 from 00101363 from sent8

Text  : Auta produkowano jednocześnie , pod dwiema nazwami przez 3 lata ,_ jednak tańszy Volkswagen wyparł Audi 50 z_ rynku ._
Tokens: 1___ 2__________ 3___________ 4 5__ 6_____ 7______ 8____ 9 10__ 11 12____ 13____ 14________ 15____ 16__ 17 18 19___ 20

Chunks:
  TruePositive nam [14,14] = Volkswagen (confidence=1.00)
  TruePositive nam [16,17] = Audi 50 (confidence=1.00)

(ChunkerEvaluator) Sentence #174 from 00101363 from sent9

Text  : Audi wycofało z produkcji model 50 w 1978 roku ,_ po wyprodukowaniu 180 tys ._ egzemplarzy ._
Tokens: 1___ 2_______ 3 4________ 5____ 6_ 7 8___ 9___ 10 11 12____________ 13_ 14_ 15 16_________ 17

Chunks:
  FalseNegative nam [1,1] = Audi

(ChunkerEvaluator) Sentence #175 from 00101363 from sent10

Text  : Volkswagen Polo produkowany jest po dzień dzisiejszy .
Tokens: 1_________ 2___ 3__________ 4___ 5_ 6____ 7_________ 8

Chunks:
  TruePositive nam [1,2] = Volkswagen Polo (confidence=1.00)

2017-06-14 20:31:35,558 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 14 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101404.xml
(ChunkerEvaluator) Sentence #176 from 00101404 from sent1

Text  : Przy ul . Tuwima wzniesiono gmach Poczty Głównej ( 1903 rok )_ ,_ a_ przy ul ._ Narutowicza ekskluzywny wówczas hotel Polonia ._
Tokens: 1___ 2_ 3 4_____ 5_________ 6____ 7_____ 8______ 9 10__ 11_ 12 13 14 15__ 16 17 18_________ 19_________ 20_____ 21___ 22_____ 23

Chunks:
  TruePositive nam [4,4] = Tuwima (confidence=1.00)
  TruePositive nam [7,8] = Poczty Głównej (confidence=0.95)
  TruePositive nam [18,18] = Narutowicza (confidence=0.97)
  TruePositive nam [22,22] = Polonia (confidence=0.96)

(ChunkerEvaluator) Sentence #177 from 00101404 from sent2

Text  : Naprzeciw dworca kolejowego powstał w okresie międzywojennym Dom Pomnik Józefa Piłsudskiego (_ dziś Łódzki Dom Kultury )_ ._
Tokens: 1________ 2_____ 3_________ 4______ 5 6______ 7_____________ 8__ 9_____ 10____ 11__________ 12 13__ 14____ 15_ 16_____ 17 18

Chunks:
  TruePositive nam [14,16] = Łódzki Dom Kultury (confidence=1.00)
  FalsePositive nam [8,9] = Dom Pomnik (confidence=0.99) (incorrect boundry)
  FalsePositive nam [10,11] = Józefa Piłsudskiego (confidence=0.63) (incorrect boundry)
  FalseNegative nam [8,11] = Dom Pomnik Józefa Piłsudskiego

(ChunkerEvaluator) Sentence #178 from 00101404 from sent3

Text  : W czasie II wojny światowej zmieniono nazwę ulicy na Buschlinie ._
Tokens: 1 2_____ 3_ 4____ 5________ 6________ 7____ 8____ 9_ 10________ 11

Chunks:
  TruePositive nam [3,5] = II wojny światowej (confidence=1.00)
  TruePositive nam [10,10] = Buschlinie (confidence=1.00)

(ChunkerEvaluator) Sentence #179 from 00101404 from sent4

Text  : Po wyzwoleniu Łodzi powrócono do dzisiejszej nazwy ulicy .
Tokens: 1_ 2_________ 3____ 4________ 5_ 6__________ 7____ 8____ 9

Chunks:
  TruePositive nam [3,3] = Łodzi (confidence=0.98)

(ChunkerEvaluator) Sentence #180 from 00101404 from sent5

Text  : Komunikacja miejska
Tokens: 1__________ 2______

Chunks:

(ChunkerEvaluator) Sentence #181 from 00101404 from sent6

Text  : Ulicą Jana Kilińskiego przebiegają następujące linie MPK Łódź ( uwzględniono zmiany tras w_ czasie realizacji Łódzkiego Tramwaju Regionalnego )_ :_
Tokens: 1____ 2___ 3__________ 4__________ 5__________ 6____ 7__ 8___ 9 10__________ 11____ 12__ 13 14____ 15________ 16_______ 17______ 18__________ 19 20

Chunks:
  TruePositive nam [2,3] = Jana Kilińskiego (confidence=1.00)
  TruePositive nam [16,18] = Łódzkiego Tramwaju Regionalnego (confidence=0.98)
  FalsePositive nam [7,8] = MPK Łódź (confidence=1.00) (incorrect boundry)
  FalseNegative nam [7,7] = MPK
  FalseNegative nam [8,8] = Łódź

(ChunkerEvaluator) Sentence #182 from 00101404 from sent7

Text  : Autobusy dzienne
Tokens: 1_______ 2______

Chunks:

(ChunkerEvaluator) Sentence #183 from 00101404 from sent8

Text  : L , 57 ( na odcinku Składowa - al ._ Piłsudskiego )_
Tokens: 1 2 3_ 4 5_ 6______ 7_______ 8 9_ 10 11__________ 12

Chunks:
  FalsePositive nam [7,11] = Składowa - al . Piłsudskiego (confidence=0.99) (incorrect boundry)
  FalseNegative nam [7,7] = Składowa
  FalseNegative nam [9,11] = al . Piłsudskiego

(ChunkerEvaluator) Sentence #184 from 00101404 from sent9

Text  : 70 , 70A ( na odcinku Narutowicza - Składowa )_
Tokens: 1_ 2 3__ 4 5_ 6______ 7__________ 8 9_______ 10

Chunks:
  FalsePositive nam [7,9] = Narutowicza - Składowa (confidence=1.00) (incorrect boundry)
  FalseNegative nam [7,7] = Narutowicza
  FalseNegative nam [9,9] = Składowa

(ChunkerEvaluator) Sentence #185 from 00101404 from sent10

Text  : 77 ( na odcinku Wigury - Abramowskiego )
Tokens: 1_ 2 3_ 4______ 5_____ 6 7____________ 8

Chunks:
  TruePositive nam [5,5] = Wigury (confidence=1.00)
  TruePositive nam [7,7] = Abramowskiego (confidence=0.56)

(ChunkerEvaluator) Sentence #186 from 00101404 from sent11

Text  : 95 ( na odcinku Dąbrowskiego - Broniewskiego )
Tokens: 1_ 2 3_ 4______ 5___________ 6 7____________ 8

Chunks:
  TruePositive nam [5,5] = Dąbrowskiego (confidence=1.00)
  TruePositive nam [7,7] = Broniewskiego (confidence=0.89)

(ChunkerEvaluator) Sentence #187 from 00101404 from sent12

Text  : Autobusy nocne
Tokens: 1_______ 2____

Chunks:

(ChunkerEvaluator) Sentence #188 from 00101404 from sent13

Text  : N ( na odcinku Składowa - al . Piłsudskiego )_ -_ linia MZK Pabianice
Tokens: 1 2 3_ 4______ 5_______ 6 7_ 8 9___________ 10 11 12___ 13_ 14_______

Chunks:
  FalsePositive nam [5,9] = Składowa - al . Piłsudskiego (confidence=0.99) (incorrect boundry)
  FalsePositive nam [13,14] = MZK Pabianice (confidence=1.00) (incorrect boundry)
  FalseNegative nam [5,5] = Składowa
  FalseNegative nam [7,9] = al . Piłsudskiego
  FalseNegative nam [13,13] = MZK
  FalseNegative nam [14,14] = Pabianice

(ChunkerEvaluator) Sentence #189 from 00101404 from sent14

Text  : N3 ( na odcinku Tuwima - Broniewskiego )
Tokens: 1_ 2 3_ 4______ 5_____ 6 7____________ 8

Chunks:
  FalsePositive nam [1,1] = N3 (confidence=0.86) (incorrect boundry)
  FalsePositive nam [5,7] = Tuwima - Broniewskiego (confidence=1.00) (incorrect boundry)
  FalseNegative nam [5,5] = Tuwima
  FalseNegative nam [7,7] = Broniewskiego

(ChunkerEvaluator) Sentence #190 from 00101404 from sent15

Text  : N6 ( na odcinku Dąbrowskiego - Broniewskiego )
Tokens: 1_ 2 3_ 4______ 5___________ 6 7____________ 8

Chunks:
  TruePositive nam [5,5] = Dąbrowskiego (confidence=1.00)
  TruePositive nam [7,7] = Broniewskiego (confidence=0.89)
  FalsePositive nam [1,1] = N6 (confidence=0.86) (incorrect boundry)

(ChunkerEvaluator) Sentence #191 from 00101404 from sent16

Text  : Tramwaje
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #192 from 00101404 from sent17

Text  : 7 , 9 , 13 ( na odcinku Pomorska -_ Narutowicza )_
Tokens: 1 2 3 4 5_ 6 7_ 8______ 9_______ 10 11_________ 12

Chunks:
  FalsePositive nam [9,11] = Pomorska - Narutowicza (confidence=0.99) (incorrect boundry)
  FalseNegative nam [9,9] = Pomorska
  FalseNegative nam [11,11] = Narutowicza

(ChunkerEvaluator) Sentence #193 from 00101404 from sent18

Text  : 5 ( na odcinku Północna - Przybyszewskiego )
Tokens: 1 2 3_ 4______ 5_______ 6 7_______________ 8

Chunks:
  FalsePositive nam [5,7] = Północna - Przybyszewskiego (confidence=1.00) (incorrect boundry)
  FalseNegative nam [5,5] = Północna
  FalseNegative nam [7,7] = Przybyszewskiego

(ChunkerEvaluator) Sentence #194 from 00101404 from sent19

Text  : 4 ( na odcinku Pomorska - Dąbrowskiego )
Tokens: 1 2 3_ 4______ 5_______ 6 7___________ 8

Chunks:
  TruePositive nam [5,5] = Pomorska (confidence=0.99)
  TruePositive nam [7,7] = Dąbrowskiego (confidence=0.63)

(ChunkerEvaluator) Sentence #195 from 00101404 from sent20

Text  : 1 ( na odcinku Północna - Śląska )
Tokens: 1 2 3_ 4______ 5_______ 6 7_____ 8

Chunks:
  FalsePositive nam [5,7] = Północna - Śląska (confidence=1.00) (incorrect boundry)
  FalseNegative nam [5,5] = Północna
  FalseNegative nam [7,7] = Śląska

(ChunkerEvaluator) Sentence #196 from 00101404 from sent21

Text  : Obiekty
Tokens: 1______

Chunks:

(ChunkerEvaluator) Sentence #197 from 00101404 from sent22

Text  : Przy ul . Kilińskiego znajdują się m . in ._ :_
Tokens: 1___ 2_ 3 4__________ 5_______ 6__ 7 8 9_ 10 11

Chunks:
  TruePositive nam [4,4] = Kilińskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #198 from 00101404 from sent23

Text  : Hotel Centrum
Tokens: 1____ 2______

Chunks:
  FalsePositive nam [1,2] = Hotel Centrum (confidence=0.80) (incorrect boundry)
  FalseNegative nam [2,2] = Centrum

(ChunkerEvaluator) Sentence #199 from 00101404 from sent24

Text  : Park im . Jana Kilińskiego
Tokens: 1___ 2_ 3 4___ 5__________

Chunks:
  TruePositive nam [1,5] = Park im . Jana Kilińskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #200 from 00101404 from sent25

Text  : Skwer im . W . Strzemińskiego
Tokens: 1____ 2_ 3 4 5 6_____________

Chunks:
  FalsePositive nam [4,6] = W . Strzemińskiego (confidence=0.77) (incorrect boundry)
  FalseNegative nam [1,6] = Skwer im . W . Strzemińskiego

(ChunkerEvaluator) Sentence #201 from 00101404 from sent26

Text  : Kościół pw . Matki Boskiej Fatimskiej
Tokens: 1______ 2_ 3 4____ 5______ 6_________

Chunks:
  FalsePositive nam [4,6] = Matki Boskiej Fatimskiej (confidence=1.00) (incorrect boundry)
  FalseNegative nam [1,6] = Kościół pw . Matki Boskiej Fatimskiej

(ChunkerEvaluator) Sentence #202 from 00101404 from sent27

Text  : Zbór Kościoła Zielonoświątkowego " Immanuel "
Tokens: 1___ 2_______ 3_________________ 4 5_______ 6

Chunks:
  FalsePositive nam [1,3] = Zbór Kościoła Zielonoświątkowego (confidence=1.00) (incorrect boundry)
  FalsePositive nam [5,6] = Immanuel " (confidence=0.58) (incorrect boundry)
  FalseNegative nam [1,6] = Zbór Kościoła Zielonoświątkowego " Immanuel "

(ChunkerEvaluator) Sentence #203 from 00101404 from sent28

Text  : Park im . Stanisława Moniuszki
Tokens: 1___ 2_ 3 4_________ 5________

Chunks:
  TruePositive nam [1,5] = Park im . Stanisława Moniuszki (confidence=0.93)

(ChunkerEvaluator) Sentence #204 from 00101404 from sent29

Text  : Tramwaje
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #205 from 00101404 from sent30

Text  : Wytyczono dwie linie tramwajowe , łączące Dworzec Kolei Fabryczno -_ Łódzkiej z_ cmentarzem przy ulicy Ogrodowej i_ z_ placem Kościelnym ._
Tokens: 1________ 2___ 3____ 4_________ 5 6______ 7______ 8____ 9________ 10 11______ 12 13________ 14__ 15___ 16_______ 17 18 19____ 20________ 21

Chunks:
  TruePositive nam [7,11] = Dworzec Kolei Fabryczno - Łódzkiej (confidence=1.00)
  TruePositive nam [16,16] = Ogrodowej (confidence=0.93)
  FalseNegative nam [19,20] = placem Kościelnym

(ChunkerEvaluator) Sentence #206 from 00101404 from sent31

Text  : Funkcję pierwszej zajezdni pełniła " remiza " usytuowana przy ulicy Tramwajowej ._
Tokens: 1______ 2________ 3_______ 4______ 5 6_____ 7 8_________ 9___ 10___ 11_________ 12

Chunks:
  TruePositive nam [11,11] = Tramwajowej (confidence=0.97)

(ChunkerEvaluator) Sentence #207 from 00101404 from sent32

Text  : Przez długi czas była to jedyna zajezdnia dla tramwajów miejskich w_ Łodzi ._
Tokens: 1____ 2____ 3___ 4___ 5_ 6_____ 7________ 8__ 9________ 10_______ 11 12___ 13

Chunks:
  TruePositive nam [12,12] = Łodzi (confidence=1.00)

(ChunkerEvaluator) Sentence #208 from 00101404 from sent33

Text  : W 1928 roku wybudowano drugą zajezdnię przy zbiegu ulic Dąbrowskiej (_ obecnie Dąbrowskiego )_ i_ Widzewskiej ._
Tokens: 1 2___ 3___ 4_________ 5____ 6________ 7___ 8_____ 9___ 10_________ 11 12_____ 13__________ 14 15 16_________ 17

Chunks:
  TruePositive nam [10,10] = Dąbrowskiej (confidence=1.00)
  TruePositive nam [13,13] = Dąbrowskiego (confidence=1.00)
  TruePositive nam [16,16] = Widzewskiej (confidence=0.89)

(ChunkerEvaluator) Sentence #209 from 00101404 from sent34

Text  : Jej otwarcie nastąpiło 20 czerwca 1928 roku .
Tokens: 1__ 2_______ 3________ 4_ 5______ 6___ 7___ 8

Chunks:

(ChunkerEvaluator) Sentence #210 from 00101404 from sent35

Text  : Pierwsza zajezdnia jest już nieczynna , natomiast Zajezdnia Dąbrowskiego nadal pełni swoją funkcję ._
Tokens: 1_______ 2________ 3___ 4__ 5________ 6 7________ 8________ 9___________ 10___ 11___ 12___ 13_____ 14

Chunks:
  TruePositive nam [8,9] = Zajezdnia Dąbrowskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #211 from 00101404 from sent36

Text  : Obecnie , z uwagi na prace remontowe , większość trasy jest wyłączona z_ użytku do odwołania ._
Tokens: 1______ 2 3 4____ 5_ 6____ 7________ 8 9________ 10___ 11__ 12_______ 13 14____ 15 16_______ 17

Chunks:

2017-06-14 20:31:35,645 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 15 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101415.xml
(ChunkerEvaluator) Sentence #212 from 00101415 from sent1

Text  : Stratosphere Las Vegas
Tokens: 1___________ 2__ 3____

Chunks:
  TruePositive nam [1,3] = Stratosphere Las Vegas (confidence=0.96)

(ChunkerEvaluator) Sentence #213 from 00101415 from sent2

Text  : Stratosphere Las Vegas - hotel i kasyno w Las Vegas ._
Tokens: 1___________ 2__ 3____ 4 5____ 6 7_____ 8 9__ 10___ 11

Chunks:
  TruePositive nam [1,3] = Stratosphere Las Vegas (confidence=0.95)
  TruePositive nam [9,10] = Las Vegas (confidence=1.00)

(ChunkerEvaluator) Sentence #214 from 00101415 from sent3

Text  : Hotel i kasyno
Tokens: 1____ 2 3_____

Chunks:

(ChunkerEvaluator) Sentence #215 from 00101415 from sent4

Text  : Wnętrze budowli jest typowe dla tego typu miejsc w Las Vegas :_ lobby ,_ parter i_ pierwsze piętro zajmuje rozległe kasyno oraz szereg sklepów z_ pamiątkami oraz restauracji i_ barów ._
Tokens: 1______ 2______ 3___ 4_____ 5__ 6___ 7___ 8_____ 9 10_ 11___ 12 13___ 14 15____ 16 17______ 18____ 19_____ 20______ 21____ 22__ 23____ 24_____ 25 26________ 27__ 28_________ 29 30___ 31

Chunks:
  TruePositive nam [10,11] = Las Vegas (confidence=1.00)

(ChunkerEvaluator) Sentence #216 from 00101415 from sent5

Text  : Pozostała część niższej sekcji zajmowana jest przez hotel , na dachu którego mieści się basen kąpielowy i_ strefa dla opalających się gości ._
Tokens: 1________ 2____ 3______ 4_____ 5________ 6___ 7____ 8____ 9 10 11___ 12_____ 13____ 14_ 15___ 16_______ 17 18____ 19_ 20_________ 21_ 22___ 23

Chunks:

(ChunkerEvaluator) Sentence #217 from 00101415 from sent6

Text  : Wieża
Tokens: 1____

Chunks:

(ChunkerEvaluator) Sentence #218 from 00101415 from sent7

Text  : Najbardziej charakterystyczną cechą Stratosphere jest wieża o wysokości 350 m_ ,_ najwyższa budowla w_ stanie Nevada i_ druga (_ po CN Tower w_ Toronto )_ najwyższa wieża obserwacyjna na zachodniej półkuli ._
Tokens: 1__________ 2________________ 3____ 4___________ 5___ 6____ 7 8________ 9__ 10 11 12_______ 13_____ 14 15____ 16____ 17 18___ 19 20 21 22___ 23 24_____ 25 26_______ 27___ 28__________ 29 30________ 31_____ 32

Chunks:
  TruePositive nam [4,4] = Stratosphere (confidence=0.89)
  TruePositive nam [16,16] = Nevada (confidence=0.96)
  TruePositive nam [21,22] = CN Tower (confidence=1.00)
  TruePositive nam [24,24] = Toronto (confidence=0.98)

(ChunkerEvaluator) Sentence #219 from 00101415 from sent8

Text  : Wieża została otwarta w 1996 roku .
Tokens: 1____ 2______ 3______ 4 5___ 6___ 7

Chunks:

(ChunkerEvaluator) Sentence #220 from 00101415 from sent9

Text  : Rozciąga się z niej widok na całe Las Vegas -_ w_ pierwszym rzędzie na szereg słynnych kaplic ,_ gdzie udziela się szybkich ślubów ,_ w_ dalszym zaś na obie części rozrywkowe miasta :_ starą z_ Las Vegas Plaza i_ Freemont Street i_ nową z_ hotelami Luxor czy New York -_ New York -_ oraz na otaczające miasto pustynie i_ góry ._
Tokens: 1_______ 2__ 3 4___ 5____ 6_ 7___ 8__ 9____ 10 11 12_______ 13_____ 14 15____ 16______ 17____ 18 19___ 20_____ 21_ 22______ 23____ 24 25 26_____ 27_ 28 29__ 30____ 31________ 32____ 33 34___ 35 36_ 37___ 38___ 39 40______ 41____ 42 43__ 44 45______ 46___ 47_ 48_ 49__ 50 51_ 52__ 53 54__ 55 56________ 57____ 58______ 59 60__ 61

Chunks:
  TruePositive nam [8,9] = Las Vegas (confidence=0.99)
  TruePositive nam [36,38] = Las Vegas Plaza (confidence=0.99)
  TruePositive nam [40,41] = Freemont Street (confidence=1.00)
  TruePositive nam [46,46] = Luxor (confidence=0.98)
  TruePositive nam [48,52] = New York - New York (confidence=1.00)

(ChunkerEvaluator) Sentence #221 from 00101415 from sent10

Text  : Atrakcje wieży
Tokens: 1_______ 2____

Chunks:

(ChunkerEvaluator) Sentence #222 from 00101415 from sent11

Text  : Na szczycie wieży znajdują się następujące atrakcje :
Tokens: 1_ 2_______ 3____ 4_______ 5__ 6__________ 7_______ 8

Chunks:

(ChunkerEvaluator) Sentence #223 from 00101415 from sent12

Text  : Big Shot - platforma wynosząca pasażerów 64 m w górę z_ prędkością 72 km /_ h_ i_ przy przeciążeniu 4G
Tokens: 1__ 2___ 3 4________ 5________ 6________ 7_ 8 9 10__ 11 12________ 13 14 15 16 17 18__ 19__________ 20

Chunks:
  TruePositive nam [1,2] = Big Shot (confidence=1.00)

(ChunkerEvaluator) Sentence #224 from 00101415 from sent13

Text  : Insanity - masywne , mechaniczne " ramię " z karuzelą rozciągające się na 20 m_ od krawędzi wieży ;_ karuzela kręci się półtorej minuty z_ prędkością maksymalną około 64 km /_ h_ ,_ przy przeciążeniu 3G ,_ maksymalnie 274 metry nad znajdującą się przy podstawie wieży ulicą
Tokens: 1_______ 2 3______ 4 5__________ 6 7____ 8 9 10______ 11__________ 12_ 13 14 15 16 17______ 18___ 19 20______ 21___ 22_ 23______ 24____ 25 26________ 27________ 28___ 29 30 31 32 33 34__ 35__________ 36 37 38_________ 39_ 40___ 41_ 42________ 43_ 44__ 45_______ 46___ 47___

Chunks:
  FalseNegative nam [1,1] = Insanity

(ChunkerEvaluator) Sentence #225 from 00101415 from sent14

Text  : X - Scream - huśtająca się platforma z zamontowanym torem dla wagoniku jeżdżącego w_ przód i_ w_ tył i_ wysuwającym pasażerów 8_ m_ od krawędzi wieży ,_ 264 metry nad ziemią
Tokens: 1 2 3_____ 4 5________ 6__ 7________ 8 9___________ 10___ 11_ 12______ 13________ 14 15___ 16 17 18_ 19 20_________ 21_______ 22 23 24 25______ 26___ 27 28_ 29___ 30_ 31____

Chunks:
  TruePositive nam [1,3] = X - Scream (confidence=0.92)

(ChunkerEvaluator) Sentence #226 from 00101415 from sent15

Text  : Powyższe atrakcje , w podanej kolejności , zajmują pierwsze trzy miejsca na świecie jeśli chodzi o_ wysokość względną atrakcji lunaparkowych ._
Tokens: 1_______ 2_______ 3 4 5______ 6_________ 7 8______ 9_______ 10__ 11_____ 12 13_____ 14___ 15____ 16 17______ 18______ 19______ 20___________ 21

Chunks:

(ChunkerEvaluator) Sentence #227 from 00101415 from sent16

Text  : Niegdyś , zamiast X - Scream , znajdował się tam również miniaturowy rollercoaster ,_ zwany High Roller ._
Tokens: 1______ 2 3______ 4 5 6_____ 7 8________ 9__ 10_ 11_____ 12_________ 13___________ 14 15___ 16__ 17____ 18

Chunks:
  TruePositive nam [4,6] = X - Scream (confidence=1.00)
  TruePositive nam [16,17] = High Roller (confidence=1.00)

2017-06-14 20:31:35,730 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 16 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101419.xml
(ChunkerEvaluator) Sentence #228 from 00101419 from sent1

Text  : Liu Chao - shiuan
Tokens: 1__ 2___ 3 4_____

Chunks:
  TruePositive nam [1,4] = Liu Chao - shiuan (confidence=1.00)

(ChunkerEvaluator) Sentence #229 from 00101419 from sent2

Text  : Liu Chao - shiuan ( chin . trad . 劉兆玄 ,_ chin ._ upr ._ 刘兆玄 ,_ pinyin Liú Zhàoxuán ;_ ur ._ 10 maja 1943 ,_ w_ Liuyang w_ prowincji Hunan )_ ,_ tajwański polityk i_ profesor ,_ premier Republiki Chińskiej od 20 maja 2008 do 10 września 2009 ._
Tokens: 1__ 2___ 3 4_____ 5 6___ 7 8___ 9 10_ 11 12__ 13 14_ 15 16_ 17 18____ 19_ 20______ 21 22 23 24 25__ 26__ 27 28 29_____ 30 31_______ 32___ 33 34 35_______ 36_____ 37 38______ 39 40_____ 41_______ 42_______ 43 44 45__ 46__ 47 48 49______ 50__ 51

Chunks:
  TruePositive nam [1,4] = Liu Chao - shiuan (confidence=1.00)
  TruePositive nam [19,20] = Liú Zhàoxuán (confidence=0.92)
  TruePositive nam [29,29] = Liuyang (confidence=1.00)
  TruePositive nam [32,32] = Hunan (confidence=1.00)
  TruePositive nam [41,42] = Republiki Chińskiej (confidence=1.00)
  FalseNegative nam [10,10] = 劉兆玄
  FalseNegative nam [16,16] = 刘兆玄

(ChunkerEvaluator) Sentence #230 from 00101419 from sent3

Text  : Biografia
Tokens: 1________

Chunks:

(ChunkerEvaluator) Sentence #231 from 00101419 from sent4

Text  : Liu urodził się w 10 maja 1943 w prowincji Hunan w_ Chinach kontynentalnych ._
Tokens: 1__ 2______ 3__ 4 5_ 6___ 7___ 8 9________ 10___ 11 12_____ 13_____________ 14

Chunks:
  TruePositive nam [1,1] = Liu (confidence=0.98)
  TruePositive nam [10,10] = Hunan (confidence=1.00)
  TruePositive nam [12,12] = Chinach (confidence=0.99)

(ChunkerEvaluator) Sentence #232 from 00101419 from sent5

Text  : W 1965 ukończył studia licencjackie na Narodowym Uniwersytecie Tajwańskim w_ Tajpej ._
Tokens: 1 2___ 3_______ 4_____ 5___________ 6_ 7________ 8____________ 9_________ 10 11____ 12

Chunks:
  TruePositive nam [7,9] = Narodowym Uniwersytecie Tajwańskim (confidence=0.69)
  TruePositive nam [11,11] = Tajpej (confidence=1.00)

(ChunkerEvaluator) Sentence #233 from 00101419 from sent6

Text  : W 1968 uzyskał stopień magistra chemii na Université de Sherbrooke w_ Sherbooke w_ Kanadzie ._
Tokens: 1 2___ 3______ 4______ 5_______ 6_____ 7_ 8_________ 9_ 10________ 11 12_______ 13 14______ 15

Chunks:
  TruePositive nam [8,10] = Université de Sherbrooke (confidence=1.00)
  TruePositive nam [12,12] = Sherbooke (confidence=1.00)
  TruePositive nam [14,14] = Kanadzie (confidence=1.00)

(ChunkerEvaluator) Sentence #234 from 00101419 from sent7

Text  : W 1971 doktoryzował się z chemii na University of Toronto ._
Tokens: 1 2___ 3___________ 4__ 5 6_____ 7_ 8_________ 9_ 10_____ 11

Chunks:
  TruePositive nam [8,10] = University of Toronto (confidence=1.00)

(ChunkerEvaluator) Sentence #235 from 00101419 from sent8

Text  : W latach 1987 - 1993 pełnił funkcję rektora Narodowego Uniwersytetu Tsing Hua w_ Xinzhu ._
Tokens: 1 2_____ 3___ 4 5___ 6_____ 7______ 8______ 9_________ 10__________ 11___ 12_ 13 14____ 15

Chunks:
  TruePositive nam [14,14] = Xinzhu (confidence=0.97)
  FalsePositive nam [10,12] = Uniwersytetu Tsing Hua (confidence=0.74) (incorrect boundry)
  FalseNegative nam [9,12] = Narodowego Uniwersytetu Tsing Hua

(ChunkerEvaluator) Sentence #236 from 00101419 from sent9

Text  : Od 1993 do 1996 zajmował stanowisko ministra transportu w gabinecie premiera Lien Chana ._
Tokens: 1_ 2___ 3_ 4___ 5_______ 6_________ 7_______ 8_________ 9 10_______ 11______ 12__ 13___ 14

Chunks:
  TruePositive nam [12,13] = Lien Chana (confidence=1.00)

(ChunkerEvaluator) Sentence #237 from 00101419 from sent10

Text  : W latach 1997 - 2000 był wicepremierem w rządzie premiera Vincenta Siewa ._
Tokens: 1 2_____ 3___ 4 5___ 6__ 7____________ 8 9______ 10______ 11______ 12___ 13

Chunks:
  FalsePositive nam [11,11] = Vincenta (confidence=1.00) (incorrect boundry)
  FalseNegative nam [11,12] = Vincenta Siewa

(ChunkerEvaluator) Sentence #238 from 00101419 from sent11

Text  : Zasłynął w tym czasie skutecznymi działaniami radzenia sobie ze skutkami potężnego trzęsienia ziemi ,_ jakie nawiedziło Tajwan we wrześniu 1999 i_ spowodowało śmierć 2_ ,_ 4_ tysiąca osób ._
Tokens: 1_______ 2 3__ 4_____ 5__________ 6__________ 7_______ 8____ 9_ 10______ 11_______ 12________ 13___ 14 15___ 16________ 17____ 18 19______ 20__ 21 22_________ 23____ 24 25 26 27_____ 28__ 29

Chunks:
  TruePositive nam [17,17] = Tajwan (confidence=1.00)

(ChunkerEvaluator) Sentence #239 from 00101419 from sent12

Text  : Od 2004 do 2008 był rektorem Uniwersytetu Soochow w Tajpej ._
Tokens: 1_ 2___ 3_ 4___ 5__ 6_______ 7___________ 8______ 9 10____ 11

Chunks:
  TruePositive nam [7,8] = Uniwersytetu Soochow (confidence=1.00)
  TruePositive nam [10,10] = Tajpej (confidence=0.98)

(ChunkerEvaluator) Sentence #240 from 00101419 from sent13

Text  : W kwietniu 2008 prezydent - elekt Ma Ying - jeou wyznaczył Liu na stanowisko premiera w_ przyszłym gabinecie ._
Tokens: 1 2_______ 3___ 4________ 5 6____ 7_ 8___ 9 10__ 11_______ 12_ 13 14________ 15______ 16 17_______ 18_______ 19

Chunks:
  TruePositive nam [12,12] = Liu (confidence=0.99)
  FalsePositive nam [8,8] = Ying (confidence=0.77) (incorrect boundry)
  FalseNegative nam [7,10] = Ma Ying - jeou

(ChunkerEvaluator) Sentence #241 from 00101419 from sent14

Text  : 20 maja 2008 Liu oficjalnie objął stanowisko premiera Republiki Chińskiej ._
Tokens: 1_ 2___ 3___ 4__ 5_________ 6____ 7_________ 8_______ 9________ 10_______ 11

Chunks:
  TruePositive nam [4,4] = Liu (confidence=0.92)
  TruePositive nam [9,10] = Republiki Chińskiej (confidence=1.00)

(ChunkerEvaluator) Sentence #242 from 00101419 from sent15

Text  : 7 września 2009 premier Liu złożył dymisję na ręce prezydenta Ma ._ Powodem tej decyzji była krytyka działań rządu w_ odpowiedzi na tajfun Morakot ,_ który nawiedził Tajwan na początku sierpnia 2009 i_ pochłonął ponad 700 ofiar ._
Tokens: 1 2_______ 3___ 4______ 5__ 6_____ 7______ 8_ 9___ 10________ 11 12 13_____ 14_ 15_____ 16__ 17_____ 18_____ 19___ 20 21________ 22 23____ 24_____ 25 26___ 27_______ 28____ 29 30______ 31______ 32__ 33 34_______ 35___ 36_ 37___ 38

Chunks:
  TruePositive nam [5,5] = Liu (confidence=1.00)
  TruePositive nam [11,11] = Ma (confidence=0.92)
  TruePositive nam [24,24] = Morakot (confidence=1.00)
  TruePositive nam [28,28] = Tajwan (confidence=1.00)

(ChunkerEvaluator) Sentence #243 from 00101419 from sent16

Text  : Krytycy zarzucali władzy nieprzeprowadzenie ewakuacji mieszkańców z rejonów objętych żywiołem oraz wyrażenie zbyt późno zgody na przyjęcie zagranicznej pomocy ._
Tokens: 1______ 2________ 3_____ 4_________________ 5________ 6__________ 7 8______ 9_______ 10______ 11__ 12_______ 13__ 14___ 15___ 16 17_______ 18__________ 19____ 20

Chunks:

(ChunkerEvaluator) Sentence #244 from 00101419 from sent17

Text  : Premier Liu stwierdził , że " cała odpowiedzialność polityczna spoczywa na nim jako najwyższym administratorze i_ z_ tego powodu przedłożył dymisję prezydentowi ,_ którą ten przyjął "_ ._
Tokens: 1______ 2__ 3_________ 4 5_ 6 7___ 8_______________ 9_________ 10______ 11 12_ 13__ 14________ 15_____________ 16 17 18__ 19____ 20________ 21_____ 22__________ 23 24___ 25_ 26_____ 27 28

Chunks:
  TruePositive nam [2,2] = Liu (confidence=0.63)

(ChunkerEvaluator) Sentence #245 from 00101419 from sent18

Text  : 10 września 2009 nowym premierem Republiki Chińskiej został Wu Den -_ yih ._
Tokens: 1_ 2_______ 3___ 4____ 5________ 6________ 7________ 8_____ 9_ 10_ 11 12_ 13

Chunks:
  TruePositive nam [6,7] = Republiki Chińskiej (confidence=1.00)
  FalsePositive nam [9,10] = Wu Den (confidence=0.96) (incorrect boundry)
  FalseNegative nam [9,12] = Wu Den - yih

2017-06-14 20:31:35,819 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 17 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101439.xml
(ChunkerEvaluator) Sentence #246 from 00101439 from sent1

Text  : Roewe
Tokens: 1____

Chunks:
  FalseNegative nam [1,1] = Roewe

(ChunkerEvaluator) Sentence #247 from 00101439 from sent2

Text  : Roewe – chiński producent samochodów należący do koncernu Shanghai Automotive Industry Corporation (_ SAIC )_ od listopada 2006 roku produkuje modele na bazie kupionych technologii od upadłego MG Rover ._
Tokens: 1____ 2 3______ 4________ 5_________ 6_______ 7_ 8_______ 9_______ 10________ 11______ 12_________ 13 14__ 15 16 17_______ 18__ 19__ 20_______ 21____ 22 23___ 24_______ 25_________ 26 27______ 28 29___ 30

Chunks:
  TruePositive nam [1,1] = Roewe (confidence=0.59)
  TruePositive nam [9,12] = Shanghai Automotive Industry Corporation (confidence=0.98)
  TruePositive nam [14,14] = SAIC (confidence=1.00)
  TruePositive nam [28,29] = MG Rover (confidence=0.99)

(ChunkerEvaluator) Sentence #248 from 00101439 from sent3

Text  : Pierwszy model firmy zadebiutował w listopadzie na Beijing Auto Show 2006 ._
Tokens: 1_______ 2____ 3____ 4___________ 5 6__________ 7_ 8______ 9___ 10__ 11__ 12

Chunks:
  TruePositive nam [8,11] = Beijing Auto Show 2006 (confidence=1.00)

(ChunkerEvaluator) Sentence #249 from 00101439 from sent4

Text  : Był to model Roewe 750 oparty na Roverze 75 z_ lat 2003 -_ 2005 ._
Tokens: 1__ 2_ 3____ 4____ 5__ 6_____ 7_ 8______ 9_ 10 11_ 12__ 13 14__ 15

Chunks:
  TruePositive nam [4,5] = Roewe 750 (confidence=0.99)
  TruePositive nam [8,9] = Roverze 75 (confidence=0.95)

(ChunkerEvaluator) Sentence #250 from 00101439 from sent5

Text  : Od wzoru odróżniał się innym tyłem , logiem oraz lekko zmienionym wnętrzem ._
Tokens: 1_ 2____ 3________ 4__ 5____ 6____ 7 8_____ 9___ 10___ 11________ 12______ 13

Chunks:

(ChunkerEvaluator) Sentence #251 from 00101439 from sent6

Text  : Model stał się również dłuższy .
Tokens: 1____ 2___ 3__ 4______ 5______ 6

Chunks:

(ChunkerEvaluator) Sentence #252 from 00101439 from sent7

Text  : Roewe planuje wprowadzenie w latach 2006 - 2011 30 nowych modeli ,_ natomiast w_ 2007 roku Roewe wyprodukowało już 120 000 nowych samochodów ._
Tokens: 1____ 2______ 3___________ 4 5_____ 6___ 7 8___ 9_ 10____ 11____ 12 13_______ 14 15__ 16__ 17___ 18___________ 19_ 20_ 21_ 22____ 23________ 24

Chunks:
  TruePositive nam [1,1] = Roewe (confidence=0.71)
  TruePositive nam [17,17] = Roewe (confidence=0.63)

(ChunkerEvaluator) Sentence #253 from 00101439 from sent8

Text  : Wprowadzenie nazwy Roewe było spowodowane brakiem możliwości zakupu praw do marki Rover przez chiński koncern ._
Tokens: 1___________ 2____ 3____ 4___ 5__________ 6______ 7_________ 8_____ 9___ 10 11___ 12___ 13___ 14_____ 15_____ 16

Chunks:
  TruePositive nam [3,3] = Roewe (confidence=0.96)
  TruePositive nam [12,12] = Rover (confidence=0.99)

(ChunkerEvaluator) Sentence #254 from 00101439 from sent9

Text  : Prawa te były w posiadaniu BMW , które zdecydowało je sprzedać ._
Tokens: 1____ 2_ 3___ 4 5_________ 6__ 7 8____ 9__________ 10 11______ 12

Chunks:
  TruePositive nam [6,6] = BMW (confidence=0.99)

(ChunkerEvaluator) Sentence #255 from 00101439 from sent10

Text  : W tym momencie zareagował Ford , który posiadał prawo pierwokupu nazwy Rover w_ związku z_ zakupem Land Rovera od BMW w_ 2000 roku ._
Tokens: 1 2__ 3_______ 4_________ 5___ 6 7____ 8_______ 9____ 10________ 11___ 12___ 13 14_____ 15 16_____ 17__ 18____ 19 20_ 21 22__ 23__ 24

Chunks:
  TruePositive nam [5,5] = Ford (confidence=1.00)
  TruePositive nam [12,12] = Rover (confidence=0.98)
  TruePositive nam [17,18] = Land Rovera (confidence=0.94)
  TruePositive nam [20,20] = BMW (confidence=0.82)

(ChunkerEvaluator) Sentence #256 from 00101439 from sent11

Text  : Obecnie prawo do korzystania z marki Rover ma koncern Tata Motors ,_ który odkupił je od Forda razem z_ markami Jaguar i_ Land Rover ._
Tokens: 1______ 2____ 3_ 4__________ 5 6____ 7____ 8_ 9______ 10__ 11____ 12 13___ 14_____ 15 16 17___ 18___ 19 20_____ 21____ 22 23__ 24___ 25

Chunks:
  TruePositive nam [7,7] = Rover (confidence=0.99)
  TruePositive nam [10,11] = Tata Motors (confidence=0.99)
  TruePositive nam [17,17] = Forda (confidence=0.99)
  TruePositive nam [21,21] = Jaguar (confidence=1.00)
  TruePositive nam [23,24] = Land Rover (confidence=0.97)

(ChunkerEvaluator) Sentence #257 from 00101439 from sent12

Text  : Logo Roewe również jest zbliżone wyglądem do pierwowzoru .
Tokens: 1___ 2____ 3______ 4___ 5_______ 6_______ 7_ 8__________ 9

Chunks:
  FalsePositive nam [1,2] = Logo Roewe (confidence=0.97) (incorrect boundry)
  FalseNegative nam [2,2] = Roewe

(ChunkerEvaluator) Sentence #258 from 00101439 from sent13

Text  : Pochodzenie nazwy
Tokens: 1__________ 2____

Chunks:

(ChunkerEvaluator) Sentence #259 from 00101439 from sent14

Text  : Słowo Roewe to zlepek dwóch słów - " Rong "_ ,_ które oznacza w_ języku chińskim honor i_ "_ Wei "_ ,_ które oznacza moc i_ prestiż ._
Tokens: 1____ 2____ 3_ 4_____ 5____ 6___ 7 8 9___ 10 11 12___ 13_____ 14 15____ 16______ 17___ 18 19 20_ 21 22 23___ 24_____ 25_ 26 27_____ 28

Chunks:
  FalsePositive nam [1,2] = Słowo Roewe (confidence=0.99) (incorrect boundry)
  FalsePositive nam [9,9] = Rong (confidence=0.99) (incorrect boundry)
  FalsePositive nam [20,20] = Wei (confidence=0.93) (incorrect boundry)
  FalseNegative nam [2,2] = Roewe

(ChunkerEvaluator) Sentence #260 from 00101439 from sent15

Text  : Modele
Tokens: 1_____

Chunks:

(ChunkerEvaluator) Sentence #261 from 00101439 from sent16

Text  : Roewe 750
Tokens: 1____ 2__

Chunks:
  FalseNegative nam [1,2] = Roewe 750

(ChunkerEvaluator) Sentence #262 from 00101439 from sent17

Text  : MG 550
Tokens: 1_ 2__

Chunks:
  FalseNegative nam [1,2] = MG 550

(ChunkerEvaluator) Sentence #263 from 00101439 from sent18

Text  : Roewe 750
Tokens: 1____ 2__

Chunks:
  FalseNegative nam [1,2] = Roewe 750

(ChunkerEvaluator) Sentence #264 from 00101439 from sent19

Text  : Jest to pierwszy model firmy , w dużej mierze zmodernizowany Rover 75 ._
Tokens: 1___ 2_ 3_______ 4____ 5____ 6 7 8____ 9_____ 10____________ 11___ 12 13

Chunks:
  TruePositive nam [11,12] = Rover 75 (confidence=0.97)

(ChunkerEvaluator) Sentence #265 from 00101439 from sent20

Text  : Zaliczany do segmentu E .
Tokens: 1________ 2_ 3_______ 4 5

Chunks:

(ChunkerEvaluator) Sentence #266 from 00101439 from sent21

Text  : W Chinach został wyceniony na 210 000 yuanów .
Tokens: 1 2______ 3_____ 4________ 5_ 6__ 7__ 8_____ 9

Chunks:
  TruePositive nam [2,2] = Chinach (confidence=1.00)
  FalseNegative nam [8,8] = yuanów

(ChunkerEvaluator) Sentence #267 from 00101439 from sent22

Text  : Roewe 550
Tokens: 1____ 2__

Chunks:
  FalseNegative nam [1,2] = Roewe 550

(ChunkerEvaluator) Sentence #268 from 00101439 from sent23

Text  : Jest to pierwszy model własnej konstrukcji , aczkolwiek prace projektowe trwały nad nim w_ momencie upadku MG Rover i_ zostały dokończone po wykupieniu praw przez koncern SAIC ._
Tokens: 1___ 2_ 3_______ 4____ 5______ 6__________ 7 8_________ 9____ 10________ 11____ 12_ 13_ 14 15______ 16____ 17 18___ 19 20_____ 21________ 22 23________ 24__ 25___ 26_____ 27__ 28

Chunks:
  TruePositive nam [17,18] = MG Rover (confidence=1.00)
  TruePositive nam [27,27] = SAIC (confidence=0.95)

(ChunkerEvaluator) Sentence #269 from 00101439 from sent24

Text  : Zaliczany jest do segmentu D . Został jednak oparty na bazie Roewe 750 ._
Tokens: 1________ 2___ 3_ 4_______ 5 6 7_____ 8_____ 9_____ 10 11___ 12___ 13_ 14

Chunks:
  TruePositive nam [12,13] = Roewe 750 (confidence=0.99)
  FalsePositive nam [5,7] = D . Został (confidence=0.84) (incorrect boundry)

(ChunkerEvaluator) Sentence #270 from 00101439 from sent25

Text  : W kwietniu 2007 roku pokazano model koncepcyjny na Shanghai Auto Show ,_ natomiast oficjalny debiut nastąpił w_ kwietniu 2008 roku na Beijing Motor Show ._
Tokens: 1 2_______ 3___ 4___ 5_______ 6____ 7__________ 8_ 9_______ 10__ 11__ 12 13_______ 14_______ 15____ 16______ 17 18______ 19__ 20__ 21 22_____ 23___ 24__ 25

Chunks:
  TruePositive nam [9,11] = Shanghai Auto Show (confidence=1.00)
  TruePositive nam [22,24] = Beijing Motor Show (confidence=1.00)

(ChunkerEvaluator) Sentence #271 from 00101439 from sent26

Text  : Kontrowersje wywołało podobieństwo do Lexusa IS .
Tokens: 1___________ 2_______ 3___________ 4_ 5_____ 6_ 7

Chunks:
  TruePositive nam [5,6] = Lexusa IS (confidence=0.99)

(ChunkerEvaluator) Sentence #272 from 00101439 from sent27

Text  : Na razie żaden z modeli nie jest oferowany w Europie ._
Tokens: 1_ 2____ 3____ 4 5_____ 6__ 7___ 8________ 9 10_____ 11

Chunks:
  TruePositive nam [10,10] = Europie (confidence=1.00)

(ChunkerEvaluator) Sentence #273 from 00101439 from sent28

Text  : W 2008 roku natomiast modele 550 i 750 trafiły do sprzedaży w_ Chile jako MG 550 i_ MG 750 ._
Tokens: 1 2___ 3___ 4________ 5_____ 6__ 7 8__ 9______ 10 11_______ 12 13___ 14__ 15 16_ 17 18 19_ 20

Chunks:
  TruePositive nam [13,13] = Chile (confidence=1.00)
  TruePositive nam [15,16] = MG 550 (confidence=0.99)
  TruePositive nam [18,19] = MG 750 (confidence=0.91)
  FalseNegative nam [6,6] = 550
  FalseNegative nam [8,8] = 750

2017-06-14 20:31:35,913 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 18 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101454.xml
(ChunkerEvaluator) Sentence #274 from 00101454 from sent1

Text  : Ustawa o ustaleniu i oszacowaniu świadczeń i strat wojennych
Tokens: 1_____ 2 3________ 4 5__________ 6________ 7 8____ 9________

Chunks:
  FalseNegative nam [1,9] = Ustawa o ustaleniu i oszacowaniu świadczeń i strat wojennych

(ChunkerEvaluator) Sentence #275 from 00101454 from sent2

Text  : Ustawa o ustaleniu i oszacowaniu świadczeń i strat wojennych –_ ustawa przyjęta przez Sejm Ustawodawczy 10 maja 1919 (_ Dz ._ Praw 1919 ,_ Nr 41 ,_ poz ._ 298 )_ ,_ weszła w_ życie w_ tym samym dniu ._
Tokens: 1_____ 2 3________ 4 5__________ 6________ 7 8____ 9________ 10 11____ 12______ 13___ 14__ 15__________ 16 17__ 18__ 19 20 21 22__ 23__ 24 25 26 27 28_ 29 30_ 31 32 33____ 34 35___ 36 37_ 38___ 39__ 40

Chunks:
  FalsePositive nam [14,14] = Sejm (confidence=1.00) (incorrect boundry)
  FalsePositive nam [20,23] = Dz . Praw 1919 (confidence=0.97) (incorrect boundry)
  FalseNegative nam [1,9] = Ustawa o ustaleniu i oszacowaniu świadczeń i strat wojennych
  FalseNegative nam [14,15] = Sejm Ustawodawczy
  FalseNegative nam [20,22] = Dz . Praw

(ChunkerEvaluator) Sentence #276 from 00101454 from sent3

Text  : Zgodnie z ustawą państwowemu ustaleniu i oszacowaniu podlegały : straty spowodowane bezpośrednio przez wypadki wojenne w_ Polsce na majątku obywateli polskich ,_ nie tylko osób fizycznych ale i_ osób prawnych (_ art ._ 2_ )_ ._
Tokens: 1______ 2 3_____ 4__________ 5________ 6 7__________ 8________ 9 10____ 11_________ 12__________ 13___ 14_____ 15_____ 16 17____ 18 19_____ 20_______ 21______ 22 23_ 24___ 25__ 26________ 27_ 28 29__ 30______ 31 32_ 33 34 35 36

Chunks:
  TruePositive nam [17,17] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #277 from 00101454 from sent4

Text  : Główny Urząd Likwidacyjny otrzymał kompetencję tworzenia w porozumieniu z właściwymi ministerstwami -_ Komisji Szacunkowych Miejscowych i_ Komisji Szacunkowych Głównych (_ art ._ 6_ )_ ._
Tokens: 1_____ 2____ 3___________ 4_______ 5__________ 6________ 7 8___________ 9 10________ 11____________ 12 13_____ 14__________ 15_________ 16 17_____ 18__________ 19______ 20 21_ 22 23 24 25

Chunks:
  TruePositive nam [13,15] = Komisji Szacunkowych Miejscowych (confidence=0.98)
  TruePositive nam [17,19] = Komisji Szacunkowych Głównych (confidence=0.64)
  FalsePositive nam [2,3] = Urząd Likwidacyjny (confidence=0.96) (incorrect boundry)
  FalseNegative nam [1,3] = Główny Urząd Likwidacyjny

(ChunkerEvaluator) Sentence #278 from 00101454 from sent5

Text  : W każdej Komisji Szacunkowej Miejskiej zasiadał przedstawiciel Ministerstwa Skarbu (_ art ._ 11 )_ ._
Tokens: 1 2_____ 3______ 4__________ 5________ 6_______ 7_____________ 8___________ 9_____ 10 11_ 12 13 14 15

Chunks:
  TruePositive nam [3,5] = Komisji Szacunkowej Miejskiej (confidence=1.00)
  TruePositive nam [8,9] = Ministerstwa Skarbu (confidence=1.00)

(ChunkerEvaluator) Sentence #279 from 00101454 from sent6

Text  : Osobom próbującym wyłudzić państwowe świadczenie odszkodowawcze groził areszt do 1_ roku oraz grzywna od 100 do 10 ._ 000 marek polskich ,_ o_ ile wykroczenie takie nie podlegało surowszym przepisom kodeksu karnego (_ art ._ 26 )_ ._
Tokens: 1_____ 2_________ 3_______ 4________ 5__________ 6_____________ 7_____ 8_____ 9_ 10 11__ 12__ 13_____ 14 15_ 16 17 18 19_ 20___ 21______ 22 23 24_ 25_________ 26___ 27_ 28_______ 29_______ 30_______ 31_____ 32_____ 33 34_ 35 36 37 38

Chunks:
  FalseNegative nam [20,21] = marek polskich
  FalseNegative nam [31,32] = kodeksu karnego

2017-06-14 20:31:35,956 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 19 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101465.xml
(ChunkerEvaluator) Sentence #280 from 00101465 from sent1

Text  : Herman ( Moralin )
Tokens: 1_____ 2 3______ 4

Chunks:
  TruePositive nam [1,1] = Herman (confidence=1.00)
  TruePositive nam [3,3] = Moralin (confidence=0.98)

(ChunkerEvaluator) Sentence #281 from 00101465 from sent2

Text  : Herman , imię świeckie : Lew Moralin ( ur ._ 24 grudnia 1956 w_ Nowo -_ Jazykowie )_ –_ arcybiskup Rosyjskiego Kościoła Prawosławnego ._
Tokens: 1_____ 2 3___ 4_______ 5 6__ 7______ 8 9_ 10 11 12_____ 13__ 14 15__ 16 17_______ 18 19 20________ 21_________ 22______ 23___________ 24

Chunks:
  TruePositive nam [1,1] = Herman (confidence=0.99)
  TruePositive nam [6,7] = Lew Moralin (confidence=1.00)
  TruePositive nam [15,17] = Nowo - Jazykowie (confidence=0.86)
  TruePositive nam [21,23] = Rosyjskiego Kościoła Prawosławnego (confidence=1.00)

(ChunkerEvaluator) Sentence #282 from 00101465 from sent3

Text  : W 1975 ukończył naukę w szkole medycznej ; przez dwa lata pracował w_ zawodzie ,_ równolegle ucząc się na wydziale historyczno -_ filologicznym uniwersytetu w_ Gorkim ._
Tokens: 1 2___ 3_______ 4____ 5 6_____ 7________ 8 9____ 10_ 11__ 12______ 13 14______ 15 16________ 17___ 18_ 19 20______ 21_________ 22 23___________ 24__________ 25 26____ 27

Chunks:
  TruePositive nam [26,26] = Gorkim (confidence=1.00)

(ChunkerEvaluator) Sentence #283 from 00101465 from sent4

Text  : 19 sierpnia 1983 przyjął święcenia diakońskie i rozpoczął służbę w_ soborze Zaśnięcia Matki Bożej we Włodzimierzu ._
Tokens: 1_ 2_______ 3___ 4______ 5________ 6_________ 7 8________ 9_____ 10 11_____ 12_______ 13___ 14___ 15 16__________ 17

Chunks:
  TruePositive nam [16,16] = Włodzimierzu (confidence=1.00)
  FalsePositive nam [12,14] = Zaśnięcia Matki Bożej (confidence=0.80) (incorrect boundry)
  FalseNegative nam [11,14] = soborze Zaśnięcia Matki Bożej

(ChunkerEvaluator) Sentence #284 from 00101465 from sent5

Text  : 8 marca następnego roku złożył wieczyste śluby zakonne i dwa dni później przyjął święcenia kapłańskie ._
Tokens: 1 2____ 3_________ 4___ 5_____ 6________ 7____ 8______ 9 10_ 11_ 12_____ 13_____ 14_______ 15________ 16

Chunks:

(ChunkerEvaluator) Sentence #285 from 00101465 from sent6

Text  : Został skierowany do pracy duszpasterskiej w parafii Narodzenia Matki Bożej we wsi Likin Sudugodski w_ eparchii włodzimierskiej ._
Tokens: 1_____ 2_________ 3_ 4____ 5______________ 6 7______ 8_________ 9____ 10___ 11 12_ 13___ 14________ 15 16______ 17_____________ 18

Chunks:
  TruePositive nam [13,14] = Likin Sudugodski (confidence=1.00)
  FalsePositive nam [8,10] = Narodzenia Matki Bożej (confidence=0.72) (incorrect boundry)
  FalseNegative nam [7,10] = parafii Narodzenia Matki Bożej
  FalseNegative nam [16,17] = eparchii włodzimierskiej

(ChunkerEvaluator) Sentence #286 from 00101465 from sent7

Text  : Równolegle w trybie zaocznym ukończył seminarium duchowne w Moskwie ._
Tokens: 1_________ 2 3_____ 4_______ 5_______ 6_________ 7_______ 8 9______ 10

Chunks:
  TruePositive nam [9,9] = Moskwie (confidence=1.00)

(ChunkerEvaluator) Sentence #287 from 00101465 from sent8

Text  : Od 1987 archimandryta .
Tokens: 1_ 2___ 3____________ 4

Chunks:

(ChunkerEvaluator) Sentence #288 from 00101465 from sent9

Text  : W latach 1989 – 1993 był proboszczem dwóch parafii :_ Opieki Matki Bożej i_ św ._ Nikity w_ Juriewie Polskim ._
Tokens: 1 2_____ 3___ 4 5___ 6__ 7__________ 8____ 9______ 10 11____ 12___ 13___ 14 15 16 17____ 18 19______ 20_____ 21

Chunks:
  TruePositive nam [19,20] = Juriewie Polskim (confidence=0.99)
  FalsePositive nam [12,13] = Matki Bożej (confidence=0.86) (incorrect boundry)
  FalsePositive nam [17,17] = Nikity (confidence=0.50) (incorrect boundry)
  FalseNegative nam [11,13] = Opieki Matki Bożej
  FalseNegative nam [15,17] = św . Nikity

(ChunkerEvaluator) Sentence #289 from 00101465 from sent10

Text  : Od 1991 był równolegle dziekanem dekanatów juriew - polskiego i_ kolczugińskiego ._
Tokens: 1_ 2___ 3__ 4_________ 5________ 6________ 7_____ 8 9________ 10 11_____________ 12

Chunks:
  FalseNegative nam [7,9] = juriew - polskiego
  FalseNegative nam [11,11] = kolczugińskiego

(ChunkerEvaluator) Sentence #290 from 00101465 from sent11

Text  : 28 marca 1993 w soborze Objawienia Pańskiego w Moskwie miała miejsce jego uroczysta chirotonia na biskupa jakuckiego i_ wilujskiego ._
Tokens: 1_ 2____ 3___ 4 5______ 6_________ 7________ 8 9______ 10___ 11_____ 12__ 13_______ 14________ 15 16_____ 17________ 18 19_________ 20

Chunks:
  TruePositive nam [9,9] = Moskwie (confidence=1.00)
  FalsePositive nam [6,7] = Objawienia Pańskiego (confidence=0.98) (incorrect boundry)
  FalseNegative nam [5,7] = soborze Objawienia Pańskiego

(ChunkerEvaluator) Sentence #291 from 00101465 from sent12

Text  : Od 1995 nosił tytuł biskupa jakuckiego i leńskiego .
Tokens: 1_ 2___ 3____ 4____ 5______ 6_________ 7 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #292 from 00101465 from sent13

Text  : Od 2000 arcybiskup kurski i rylski .
Tokens: 1_ 2___ 3_________ 4_____ 5 6_____ 7

Chunks:

2017-06-14 20:31:36,009 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 20 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101517.xml
(ChunkerEvaluator) Sentence #293 from 00101517 from sent1

Text  : Niemniej chodziła Marianna przez resztę dnia zadumana i nazajutrz była także jakaś nieswoja ._
Tokens: 1_______ 2_______ 3_______ 4____ 5_____ 6___ 7_______ 8 9________ 10__ 11___ 12___ 13______ 14

Chunks:
  TruePositive nam [3,3] = Marianna (confidence=1.00)

(ChunkerEvaluator) Sentence #294 from 00101517 from sent2

Text  : Młoda pani myślała , że to żal mimowolny za porzuconą okazją szczęścia ._
Tokens: 1____ 2___ 3______ 4 5_ 6_ 7__ 8________ 9_ 10_______ 11____ 12_______ 13

Chunks:

(ChunkerEvaluator) Sentence #295 from 00101517 from sent3

Text  : Ale nie był to żal .
Tokens: 1__ 2__ 3__ 4_ 5__ 6

Chunks:

(ChunkerEvaluator) Sentence #296 from 00101517 from sent4

Text  : Było to preludium do żółtej febry .
Tokens: 1___ 2_ 3________ 4_ 5_____ 6____ 7

Chunks:

(ChunkerEvaluator) Sentence #297 from 00101517 from sent5

Text  : Wybuchnęła ona u Marianny z wielką siłą , ale jej nie zgryzła ._
Tokens: 1_________ 2__ 3 4_______ 5 6_____ 7___ 8 9__ 10_ 11_ 12_____ 13

Chunks:
  TruePositive nam [4,4] = Marianny (confidence=1.00)

(ChunkerEvaluator) Sentence #298 from 00101517 from sent6

Text  : Zdawało się zrazu , że kobiecina wieczora nie doczeka ._
Tokens: 1______ 2__ 3____ 4 5_ 6________ 7_______ 8__ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #299 from 00101517 from sent7

Text  : Zdawało się wieczorem , że nie dożyje ranka .
Tokens: 1______ 2__ 3________ 4 5_ 6__ 7_____ 8____ 9

Chunks:

(ChunkerEvaluator) Sentence #300 from 00101517 from sent8

Text  : Dożyła wszakże i otrząsnęła się z tej śmiertelnej zmory ;_ długo tylko przyjść jakoś nie mogła do siebie ._
Tokens: 1_____ 2______ 3 4_________ 5__ 6 7__ 8__________ 9____ 10 11___ 12___ 13_____ 14___ 15_ 16___ 17 18____ 19

Chunks:

(ChunkerEvaluator) Sentence #301 from 00101517 from sent9

Text  : Wyżółkła , wychudła , osłabła , ręce jej się trzęsły ,_ zamroki na nią szły ,_ robocie żadnej poradzić nie mogła ,_ choć się rwała do niej ._
Tokens: 1_______ 2 3_______ 4 5______ 6 7___ 8__ 9__ 10_____ 11 12_____ 13 14_ 15__ 16 17_____ 18____ 19______ 20_ 21___ 22 23__ 24_ 25___ 26 27__ 28

Chunks:

(ChunkerEvaluator) Sentence #302 from 00101517 from sent10

Text  : Dzielny Pensylwańczyk był by ją i taką cherlającą dla żony w_ domu trzymał ,_ ale doktor zapewnił go ,_ że Marianna tylko w_ innym klimacie wyzdrowieć może zupełnie ._
Tokens: 1______ 2____________ 3__ 4_ 5_ 6 7___ 8_________ 9__ 10__ 11 12__ 13_____ 14 15_ 16____ 17______ 18 19 20 21______ 22___ 23 24___ 25______ 26________ 27__ 28______ 29

Chunks:
  TruePositive nam [2,2] = Pensylwańczyk (confidence=0.92)
  TruePositive nam [21,21] = Marianna (confidence=1.00)

(ChunkerEvaluator) Sentence #303 from 00101517 from sent11

Text  : Znowu więc nie było rady ; Marianna wracała zza morza ._
Tokens: 1____ 2___ 3__ 4___ 5___ 6 7_______ 8______ 9__ 10___ 11

Chunks:
  TruePositive nam [7,7] = Marianna (confidence=0.94)

(ChunkerEvaluator) Sentence #304 from 00101517 from sent12

Text  : Wyszukała gdzieś w głębi kufra resztki czerwonego motyla , przyszpiliła go sobie do chustki i_ ufna w_ ten talizman z_ mężnym sercem na okręt siadła ._
Tokens: 1________ 2_____ 3 4____ 5____ 6______ 7_________ 8_____ 9 10__________ 11 12___ 13 14_____ 15 16__ 17 18_ 19______ 20 21____ 22____ 23 24___ 25____ 26

Chunks:

(ChunkerEvaluator) Sentence #305 from 00101517 from sent13

Text  : Od pierwszej jej podróży upłynęło coś ośm miesięcy .
Tokens: 1_ 2________ 3__ 4______ 5_______ 6__ 7__ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #306 from 00101517 from sent14

Text  : Zima była ; wczesny zmierzch zapadał w pokoju , kiedy nagle stanęła przed nami Marianna ._
Tokens: 1___ 2___ 3 4______ 5_______ 6______ 7 8_____ 9 10___ 11___ 12_____ 13___ 14__ 15______ 16

Chunks:
  TruePositive nam [15,15] = Marianna (confidence=1.00)

(ChunkerEvaluator) Sentence #307 from 00101517 from sent15

Text  : Wykrzyknęli śmy z zadziwienia i współczucia : twarz jej była zmieniona ,_ małe oczki głęboko zapadły ,_ krępa ,_ przysadkowata postać pochyliła się nieco ._
Tokens: 1__________ 2__ 3 4__________ 5 6__________ 7 8____ 9__ 10__ 11_______ 12 13__ 14___ 15_____ 16_____ 17 18___ 19 20___________ 21____ 22_______ 23_ 24___ 25

Chunks:

(ChunkerEvaluator) Sentence #308 from 00101517 from sent16

Text  : - Marianna .
Tokens: 1 2_______ 3

Chunks:
  TruePositive nam [2,2] = Marianna (confidence=0.69)

(ChunkerEvaluator) Sentence #309 from 00101517 from sent17

Text  : Co ?
Tokens: 1_ 2

Chunks:

(ChunkerEvaluator) Sentence #310 from 00101517 from sent18

Text  : Jak tam ?
Tokens: 1__ 2__ 3

Chunks:

(ChunkerEvaluator) Sentence #311 from 00101517 from sent19

Text  : Z takiej drogi ?
Tokens: 1 2_____ 3____ 4

Chunks:

(ChunkerEvaluator) Sentence #312 from 00101517 from sent20

Text  : Po takiej chorobie ?
Tokens: 1_ 2_____ 3_______ 4

Chunks:

(ChunkerEvaluator) Sentence #313 from 00101517 from sent21

Text  : Z takiego dalekiego kraju ?
Tokens: 1 2______ 3________ 4____ 5

Chunks:

(ChunkerEvaluator) Sentence #314 from 00101517 from sent22

Text  : Myśleli śmy , że nas zasypie skargami na klimat ,_ na ludzi ,_ na żółtą febrę ,_ na podróż ._
Tokens: 1______ 2__ 3 4_ 5__ 6______ 7_______ 8_ 9_____ 10 11 12___ 13 14 15___ 16___ 17 18 19____ 20

Chunks:

(ChunkerEvaluator) Sentence #315 from 00101517 from sent23

Text  : Ale nie .
Tokens: 1__ 2__ 3

Chunks:

(ChunkerEvaluator) Sentence #316 from 00101517 from sent24

Text  : Zbliżyła się tylko nieco kiwając głową w swoim aksamitnym kapeluszu ,_ który jej na kark zjeżdżał ,_ a_ do którego przybyło zielone papuzie skrzydło ._
Tokens: 1_______ 2__ 3____ 4____ 5______ 6____ 7 8____ 9_________ 10_______ 11 12___ 13_ 14 15__ 16______ 17 18 19 20_____ 21______ 22_____ 23_____ 24______ 25

Chunks:

(ChunkerEvaluator) Sentence #317 from 00101517 from sent25

Text  : - I . . . - rzekła wzgardliwie - cóż tam za kraj taki ._
Tokens: 1 2 3 4 5 6 7_____ 8__________ 9 10_ 11_ 12 13__ 14__ 15

Chunks:

(ChunkerEvaluator) Sentence #318 from 00101517 from sent26

Text  : Takiego ta kraju , proszę państwa - dodawała tajemniczo -_ i_ liczyć co nie ma ._
Tokens: 1______ 2_ 3____ 4 5_____ 6______ 7 8_______ 9_________ 10 11 12____ 13 14_ 15 16

Chunks:

(ChunkerEvaluator) Sentence #319 from 00101517 from sent27

Text  : Jakby nie był .
Tokens: 1____ 2__ 3__ 4

Chunks:

(ChunkerEvaluator) Sentence #320 from 00101517 from sent28

Text  : Życia tam nijakiego .
Tokens: 1____ 2__ 3________ 4

Chunks:

(ChunkerEvaluator) Sentence #321 from 00101517 from sent29

Text  : Twarożku nie uświadczysz , kaszki krakowskiej nie ujrzysz , śmietany nie uwidzisz ._
Tokens: 1_______ 2__ 3__________ 4 5_____ 6__________ 7__ 8______ 9 10______ 11_ 12______ 13

Chunks:

(ChunkerEvaluator) Sentence #322 from 00101517 from sent30

Text  : Jakże tam , proszę ja państwa , dobrze ma być ,_ kiedy około nabiału chodzić nie umieją ?_
Tokens: 1____ 2__ 3 4_____ 5_ 6______ 7 8_____ 9_ 10_ 11 12___ 13___ 14_____ 15_____ 16_ 17____ 18

Chunks:

(ChunkerEvaluator) Sentence #323 from 00101517 from sent31

Text  : Zrobili ta teraz rewolucją , ale gdzie to ta poradzi ,_ kiej naród strasznie głupi ._
Tokens: 1______ 2_ 3____ 4________ 5 6__ 7____ 8_ 9_ 10_____ 11 12__ 13___ 14_______ 15___ 16

Chunks:

(ChunkerEvaluator) Sentence #324 from 00101517 from sent32

Text  : Prowadzi ato taki czarny krowę i dzwoni .
Tokens: 1_______ 2__ 3___ 4_____ 5____ 6 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #325 from 00101517 from sent33

Text  : Kto mleka chce , wylatuje z garnkiem , doi ,_ co mu potrza ,_ i_ po karmie ._
Tokens: 1__ 2____ 3___ 4 5_______ 6 7_______ 8 9__ 10 11 12 13____ 14 15 16 17____ 18

Chunks:

2017-06-14 20:31:36,114 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 21 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101542.xml
(ChunkerEvaluator) Sentence #326 from 00101542 from sent1

Text  : Miesięcznik Komputerowy to elektroniczne czasopismo wydawane na licencji Creative Commons ,_ którego tematyka skupiona jest wokół otwartego oprogramowania i_ otwartych standardów w_ świecie IT ._
Tokens: 1__________ 2__________ 3_ 4____________ 5_________ 6_______ 7_ 8_______ 9_______ 10_____ 11 12_____ 13______ 14______ 15__ 16___ 17_______ 18____________ 19 20_______ 21________ 22 23_____ 24 25

Chunks:
  TruePositive nam [1,2] = Miesięcznik Komputerowy (confidence=1.00)
  TruePositive nam [9,10] = Creative Commons (confidence=1.00)
  FalsePositive nam [24,24] = IT (confidence=0.91) (incorrect boundry)

(ChunkerEvaluator) Sentence #327 from 00101542 from sent2

Text  : Magazyn ma za zadanie pełnić rolę poznawczą , edukacyjną oraz być łącznikiem pomiędzy otwartymi rozwiązaniami i_ wszystkimi tymi ,_ którzy są zainteresowani korzystaniem z_ tych rozwiązań ._
Tokens: 1______ 2_ 3_ 4______ 5_____ 6___ 7________ 8 9_________ 10__ 11_ 12________ 13______ 14_______ 15___________ 16 17________ 18__ 19 20____ 21 22____________ 23__________ 24 25__ 26_______ 27

Chunks:

(ChunkerEvaluator) Sentence #328 from 00101542 from sent3

Text  : W praktyce Miesięcznik Komputerowy jest mostem , który łączy ze sobą dwa segmenty rynku związanego z_ oprogramowaniem ._
Tokens: 1 2_______ 3__________ 4__________ 5___ 6_____ 7 8____ 9____ 10 11__ 12_ 13______ 14___ 15________ 16 17_____________ 18

Chunks:
  TruePositive nam [3,4] = Miesięcznik Komputerowy (confidence=1.00)

(ChunkerEvaluator) Sentence #329 from 00101542 from sent4

Text  : Łączy producentów oprogramowania Open Source z odbiorcami , którymi są zarówno użytkownicy (_ stający się tym samym częścią społeczności Open Source )_ ,_ jak i_ z_ sektorem publicznym ,_ czy małymi i_ średnimi przedsiębiorstwami ._
Tokens: 1____ 2__________ 3_____________ 4___ 5_____ 6 7_________ 8 9______ 10 11_____ 12_________ 13 14_____ 15_ 16_ 17___ 18_____ 19__________ 20__ 21____ 22 23 24_ 25 26 27______ 28________ 29 30_ 31____ 32 33______ 34________________ 35

Chunks:
  FalsePositive nam [4,5] = Open Source (confidence=1.00) (incorrect boundry)
  FalsePositive nam [20,21] = Open Source (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #330 from 00101542 from sent5

Text  : Miesięcznik Komputerowy łączy także profesjonalistów i deweloperów z producentami sprzętu i_ integratorami systemów informatycznych ,_ a_ także firmy zajmujące się szkoleniem i_ certyfikacją profesjonalistów z_ firmami ,_ które potrzebują tego rodzaju kadry ._
Tokens: 1__________ 2__________ 3____ 4____ 5_______________ 6 7__________ 8 9___________ 10_____ 11 12___________ 13______ 14_____________ 15 16 17___ 18___ 19_______ 20_ 21________ 22 23__________ 24______________ 25 26_____ 27 28___ 29________ 30__ 31_____ 32___ 33

Chunks:
  TruePositive nam [1,2] = Miesięcznik Komputerowy (confidence=0.42)

(ChunkerEvaluator) Sentence #331 from 00101542 from sent6

Text  : Miesięcznik Komputerowy można okreslić zatem jako sieć połączeńw której dzięki odpowiedniej i_ niezwykle ciekawej treści merytorycznej ,_ można tworzyć niezwykle celny system ,_ pozwalający zestawić zamierzone połączenia ._
Tokens: 1__________ 2__________ 3____ 4_______ 5____ 6___ 7___ 8________ 9_____ 10____ 11__________ 12 13_______ 14______ 15____ 16___________ 17 18___ 19_____ 20_______ 21___ 22____ 23 24_________ 25______ 26________ 27________ 28

Chunks:
  TruePositive nam [1,2] = Miesięcznik Komputerowy (confidence=0.55)

(ChunkerEvaluator) Sentence #332 from 00101542 from sent7

Text  : Artykuły publikowane na stronach Miesięcznika Komputerowego objęte są licencją Creative Commons z_ różnymi atrybutami ,_ określanymi przez ich autorów ._
Tokens: 1_______ 2__________ 3_ 4_______ 5___________ 6____________ 7_____ 8_ 9_______ 10______ 11_____ 12 13_____ 14________ 15 16_________ 17___ 18_ 19_____ 20

Chunks:
  TruePositive nam [5,6] = Miesięcznika Komputerowego (confidence=1.00)
  TruePositive nam [10,11] = Creative Commons (confidence=1.00)

(ChunkerEvaluator) Sentence #333 from 00101542 from sent8

Text  : Grafiki i zdjęcia będące częścią magazynu , są materiałami dostępnymi na otwartych licencjach lub są dziełem redakcji Miesięcznika Komputerowego ._
Tokens: 1______ 2 3______ 4_____ 5______ 6_______ 7 8_ 9__________ 10________ 11 12_______ 13________ 14_ 15 16_____ 17______ 18__________ 19___________ 20

Chunks:
  TruePositive nam [18,19] = Miesięcznika Komputerowego (confidence=1.00)

(ChunkerEvaluator) Sentence #334 from 00101542 from sent9

Text  : Social Slider
Tokens: 1_____ 2_____

Chunks:
  TruePositive nam [1,2] = Social Slider (confidence=0.99)

2017-06-14 20:31:36,171 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 22 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101583.xml
(ChunkerEvaluator) Sentence #335 from 00101583 from sent1

Text  : Panie Marszałku !
Tokens: 1____ 2________ 3

Chunks:

(ChunkerEvaluator) Sentence #336 from 00101583 from sent2

Text  : Panie Premierze !
Tokens: 1____ 2________ 3

Chunks:

(ChunkerEvaluator) Sentence #337 from 00101583 from sent3

Text  : Wysoka Izbo !
Tokens: 1_____ 2___ 3

Chunks:

(ChunkerEvaluator) Sentence #338 from 00101583 from sent4

Text  : Przez Polskę przetacza się dzisiaj fala powodzi , a wraz z_ nią fala rozpaczy i_ ludzkich tragedii ._
Tokens: 1____ 2_____ 3________ 4__ 5______ 6___ 7______ 8 9 10__ 11 12_ 13__ 14______ 15 16______ 17______ 18

Chunks:
  TruePositive nam [2,2] = Polskę (confidence=1.00)

(ChunkerEvaluator) Sentence #339 from 00101583 from sent5

Text  : I naszą rolą , nas wszystkich , przede wszystkim rolą polskiego parlamentu i_ rządu ,_ jest to ,_ by tę falę powstrzymać i_ odbudować nadzieję na to ,_ że Polacy mogą być w_ swoim kraju bezpieczni ._
Tokens: 1 2____ 3___ 4 5__ 6_________ 7 8_____ 9________ 10__ 11_______ 12________ 13 14___ 15 16__ 17 18 19 20 21__ 22_________ 23 24_______ 25______ 26 27 28 29 30____ 31__ 32_ 33 34___ 35___ 36________ 37

Chunks:
  TruePositive nam [30,30] = Polacy (confidence=1.00)

(ChunkerEvaluator) Sentence #340 from 00101583 from sent6

Text  : Konieczne jest bardzo szybkie podjęcie takich działań , które na przyszłość pozwolą takich tragedii ,_ w_ takim rozmiarze ,_ uniknąć ._
Tokens: 1________ 2___ 3_____ 4______ 5_______ 6_____ 7______ 8 9____ 10 11________ 12_____ 13____ 14______ 15 16 17___ 18_______ 19 20_____ 21

Chunks:

(ChunkerEvaluator) Sentence #341 from 00101583 from sent7

Text  : Już dzisiaj w lasce marszałkowskiej złożone są projekty ustaw ,_ które mogą być od razu procedowane ,_ chociażby o_ Funduszu Pomocy Ofiarom Klęsk Żywiołowych –_ projekt złożony przez klub Prawa i_ Sprawiedliwości ._
Tokens: 1__ 2______ 3 4____ 5______________ 6______ 7_ 8_______ 9____ 10 11___ 12__ 13_ 14 15__ 16_________ 17 18_______ 19 20______ 21____ 22_____ 23___ 24_________ 25 26_____ 27_____ 28___ 29__ 30___ 31 32_____________ 33

Chunks:
  TruePositive nam [20,24] = Funduszu Pomocy Ofiarom Klęsk Żywiołowych (confidence=1.00)
  TruePositive nam [30,32] = Prawa i Sprawiedliwości (confidence=0.97)

(ChunkerEvaluator) Sentence #342 from 00101583 from sent8

Text  : I prośba , panie marszałku – nie patrzmy na to ,_ czy dany projekt złożyli posłowie Platformy Obywatelskiej ,_ czy posłowie Prawa i_ Sprawiedliwości ,_ Sojuszu Lewicy Demokratycznej ,_ czy Polskiego Stronnictwa Ludowego ,_ tylko jeżeli on jest dobry i_ może pomóc ,_ to go procedujmy ,_ bo to są projekty złożone przez polskich parlamentarzystów dla wszystkich Polaków ._
Tokens: 1 2_____ 3 4____ 5________ 6 7__ 8______ 9_ 10 11 12_ 13__ 14_____ 15_____ 16______ 17_______ 18___________ 19 20_ 21______ 22___ 23 24_____________ 25 26_____ 27____ 28____________ 29 30_ 31_______ 32_________ 33______ 34 35___ 36____ 37 38__ 39___ 40 41__ 42___ 43 44 45 46________ 47 48 49 50 51______ 52_____ 53___ 54______ 55_______________ 56_ 57________ 58_____ 59

Chunks:
  TruePositive nam [17,18] = Platformy Obywatelskiej (confidence=1.00)
  TruePositive nam [22,24] = Prawa i Sprawiedliwości (confidence=0.99)
  TruePositive nam [26,28] = Sojuszu Lewicy Demokratycznej (confidence=0.99)
  TruePositive nam [31,33] = Polskiego Stronnictwa Ludowego (confidence=1.00)
  TruePositive nam [58,58] = Polaków (confidence=0.99)

(ChunkerEvaluator) Sentence #343 from 00101583 from sent9

Text  : ( Oklaski ) Jest już przygotowany przez mój klub projekt ustawy o_ usuwaniu skutków powodzi ,_ dzisiaj będzie złożony do laski marszałkowskiej ._
Tokens: 1 2______ 3 4___ 5__ 6___________ 7____ 8__ 9___ 10_____ 11____ 12 13______ 14_____ 15_____ 16 17_____ 18____ 19_____ 20 21___ 22_____________ 23

Chunks:

(ChunkerEvaluator) Sentence #344 from 00101583 from sent10

Text  : To są kolejne rozwiązania , które mogą pomóc .
Tokens: 1_ 2_ 3______ 4__________ 5 6____ 7___ 8____ 9

Chunks:

(ChunkerEvaluator) Sentence #345 from 00101583 from sent11

Text  : Kolejna kwestia to środki budżetowe .
Tokens: 1______ 2______ 3_ 4_____ 5________ 6

Chunks:

(ChunkerEvaluator) Sentence #346 from 00101583 from sent12

Text  : Pan premier mówił o tym , że środków brakuje ,_ ale my musimy znaleźć odpowiednie kwoty ._
Tokens: 1__ 2______ 3____ 4 5__ 6 7_ 8______ 9______ 10 11_ 12 13____ 14_____ 15_________ 16___ 17

Chunks:

(ChunkerEvaluator) Sentence #347 from 00101583 from sent13

Text  : Biuro Analiz Sejmowych przygotowało raport , w którym stwierdza ,_ że w_ porównaniu z_ 2007 r_ ._ w_ 2008 r_ ._ przeznaczono na zabezpieczenie powodziowe o_ 244 239 tys ._ zł mniej ._
Tokens: 1____ 2_____ 3________ 4___________ 5_____ 6 7 8_____ 9________ 10 11 12 13________ 14 15__ 16 17 18 19__ 20 21 22__________ 23 24____________ 25________ 26 27_ 28_ 29_ 30 31 32___ 33

Chunks:
  TruePositive nam [1,3] = Biuro Analiz Sejmowych (confidence=0.91)
  TruePositive nam [31,31] = zł (confidence=0.87)

(ChunkerEvaluator) Sentence #348 from 00101583 from sent14

Text  : To jest bardzo duża różnica .
Tokens: 1_ 2___ 3_____ 4___ 5______ 6

Chunks:

(ChunkerEvaluator) Sentence #349 from 00101583 from sent15

Text  : I mimo że mamy problemy budżetowe , mimo że jest kryzys ,_ musimy tak ustawić priorytety budżetu państwa ,_ żeby te pieniądze znaleźć ._
Tokens: 1 2___ 3_ 4___ 5_______ 6________ 7 8___ 9_ 10__ 11____ 12 13____ 14_ 15_____ 16________ 17_____ 18_____ 19 20__ 21 22_______ 23_____ 24

Chunks:

(ChunkerEvaluator) Sentence #350 from 00101583 from sent16

Text  : W tej chwili , ażeby zabezpieczyć odpowiednie funkcjonowanie wszystkich urządzeń przeciwpowodziowych ,_ aby wzmocnić wały ,_ trzeba dodatkowo 470 mln rocznie w_ budżecie ._
Tokens: 1 2__ 3_____ 4 5____ 6___________ 7__________ 8_____________ 9_________ 10______ 11_________________ 12 13_ 14______ 15__ 16 17____ 18_______ 19_ 20_ 21_____ 22 23______ 24

Chunks:

(ChunkerEvaluator) Sentence #351 from 00101583 from sent17

Text  : Ale pytanie , panie premierze , czy nie warto tych pieniędzy jednak znaleźć i_ przeznaczyć je właśnie na ten cel ,_ nawet kosztem innych celów ._
Tokens: 1__ 2______ 3 4____ 5________ 6 7__ 8__ 9____ 10__ 11_______ 12____ 13_____ 14 15_________ 16 17_____ 18 19_ 20_ 21 22___ 23_____ 24____ 25___ 26

Chunks:

(ChunkerEvaluator) Sentence #352 from 00101583 from sent18

Text  : Trzeba wrócić do dobrych projektów opracowanych przez rząd pana Jarosława Kaczyńskiego ,_ przez panią minister Gęsicką ,_ które znalazły się na liście programów priorytetowych w_ ramach programu „_ Infrastruktura i_ środowisko ”_ ._
Tokens: 1_____ 2_____ 3_ 4______ 5________ 6___________ 7____ 8___ 9___ 10_______ 11__________ 12 13___ 14___ 15______ 16_____ 17 18___ 19______ 20_ 21 22____ 23_______ 24____________ 25 26____ 27______ 28 29____________ 30 31________ 32 33

Chunks:
  TruePositive nam [10,11] = Jarosława Kaczyńskiego (confidence=1.00)
  TruePositive nam [16,16] = Gęsicką (confidence=0.99)
  TruePositive nam [29,31] = Infrastruktura i środowisko (confidence=0.94)

(ChunkerEvaluator) Sentence #353 from 00101583 from sent19

Text  : One zostały przygotowane .
Tokens: 1__ 2______ 3___________ 4

Chunks:

(ChunkerEvaluator) Sentence #354 from 00101583 from sent20

Text  : To , co działo się w Polsce w ostatnich dniach i_ co jeszcze dzieje się w_ tej chwili ,_ pokazuje ,_ że gdyby zostały wdrożone te projekty ,_ gdyby został wdrożony projekt „_ Ochrona przed powodzią w_ dorzeczu górnej Wisły ”_ ,_ być może skala tej klęski była by dzisiaj mniejsza ._
Tokens: 1_ 2 3_ 4_____ 5__ 6 7_____ 8 9________ 10____ 11 12 13_____ 14____ 15_ 16 17_ 18____ 19 20______ 21 22 23___ 24_____ 25______ 26 27______ 28 29___ 30____ 31______ 32_____ 33 34_____ 35___ 36______ 37 38______ 39____ 40___ 41 42 43_ 44__ 45___ 46_ 47____ 48__ 49 50_____ 51______ 52

Chunks:
  TruePositive nam [7,7] = Polsce (confidence=1.00)
  TruePositive nam [34,40] = Ochrona przed powodzią w dorzeczu górnej Wisły (confidence=0.99)

2017-06-14 20:31:36,288 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 23 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101592.xml
(ChunkerEvaluator) Sentence #355 from 00101592 from sent1

Text  : Wicemarszałek Krzysztof Putra :
Tokens: 1____________ 2________ 3____ 4

Chunks:
  TruePositive nam [2,3] = Krzysztof Putra (confidence=1.00)

(ChunkerEvaluator) Sentence #356 from 00101592 from sent2

Text  : Dziękuję bardzo panu posłowi .
Tokens: 1_______ 2_____ 3___ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #357 from 00101592 from sent3

Text  : Pan poseł Wojciech Kossakowski , Prawo i Sprawiedliwość .
Tokens: 1__ 2____ 3_______ 4__________ 5 6____ 7 8_____________ 9

Chunks:
  TruePositive nam [3,4] = Wojciech Kossakowski (confidence=1.00)
  TruePositive nam [6,8] = Prawo i Sprawiedliwość (confidence=1.00)

(ChunkerEvaluator) Sentence #358 from 00101592 from sent4

Text  : Bardzo proszę .
Tokens: 1_____ 2_____ 3

Chunks:

(ChunkerEvaluator) Sentence #359 from 00101592 from sent5

Text  : Poseł Wojciech Kossakowski :
Tokens: 1____ 2_______ 3__________ 4

Chunks:
  TruePositive nam [2,3] = Wojciech Kossakowski (confidence=1.00)

(ChunkerEvaluator) Sentence #360 from 00101592 from sent6

Text  : Panie Marszałku !
Tokens: 1____ 2________ 3

Chunks:

(ChunkerEvaluator) Sentence #361 from 00101592 from sent7

Text  : Wysoka Izbo !
Tokens: 1_____ 2___ 3

Chunks:

(ChunkerEvaluator) Sentence #362 from 00101592 from sent8

Text  : Projekt ustawy , jak rozumiem , dotyczy wprowadzenia tylko i_ wyłącznie zmian o_ charakterze technicznym i_ porządkowym do ustawy z_ 19 marca 2004 r_ ._
Tokens: 1______ 2_____ 3 4__ 5_______ 6 7______ 8___________ 9____ 10 11_______ 12___ 13 14_________ 15_________ 16 17_________ 18 19____ 20 21 22___ 23__ 24 25

Chunks:

(ChunkerEvaluator) Sentence #363 from 00101592 from sent9

Text  : Prawo celne oraz ustaw regulujących stosunek państwa do Kościołów i_ związków wyznaniowych ._
Tokens: 1____ 2____ 3___ 4____ 5___________ 6_______ 7______ 8_ 9________ 10 11______ 12__________ 13

Chunks:
  FalsePositive nam [9,9] = Kościołów (confidence=0.99) (incorrect boundry)
  FalseNegative nam [1,2] = Prawo celne

(ChunkerEvaluator) Sentence #364 from 00101592 from sent10

Text  : Chciał by m zadać jedno krótkie pytanie przy okazji omawianej nowelizacji :_ Jaki był zakres pomocy humanitarnej w_ latach 2008 –_ 2009 ?_
Tokens: 1_____ 2_ 3 4____ 5____ 6______ 7______ 8___ 9_____ 10_______ 11_________ 12 13__ 14_ 15____ 16____ 17__________ 18 19____ 20__ 21 22__ 23

Chunks:
  FalsePositive nam [13,13] = Jaki (confidence=0.70) (incorrect boundry)

(ChunkerEvaluator) Sentence #365 from 00101592 from sent11

Text  : Nie jesteśmy , jak mniemam , krajem , do którego kieruje się pomoc charytatywną ,_ jednak warto ,_ aby śmy wiedzieli ,_ jakiego rzędu były to zwolnienia ._
Tokens: 1__ 2_______ 3 4__ 5______ 6 7_____ 8 9_ 10_____ 11_____ 12_ 13___ 14__________ 15 16____ 17___ 18 19_ 20_ 21_______ 22 23_____ 24___ 25__ 26 27________ 28

Chunks:

(ChunkerEvaluator) Sentence #366 from 00101592 from sent12

Text  : Dziękuję .
Tokens: 1_______ 2

Chunks:

(ChunkerEvaluator) Sentence #367 from 00101592 from sent13

Text  : ( Oklaski )
Tokens: 1 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #368 from 00101592 from sent14

Text  : Wicemarszałek Krzysztof Putra :
Tokens: 1____________ 2________ 3____ 4

Chunks:
  TruePositive nam [2,3] = Krzysztof Putra (confidence=1.00)

(ChunkerEvaluator) Sentence #369 from 00101592 from sent15

Text  : Dziękuję bardzo panu posłowi .
Tokens: 1_______ 2_____ 3___ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #370 from 00101592 from sent16

Text  : Pan poseł Jarosław Matwiejuk , Lewica .
Tokens: 1__ 2____ 3_______ 4________ 5 6_____ 7

Chunks:
  TruePositive nam [3,4] = Jarosław Matwiejuk (confidence=1.00)
  TruePositive nam [6,6] = Lewica (confidence=0.99)

(ChunkerEvaluator) Sentence #371 from 00101592 from sent17

Text  : Bardzo proszę .
Tokens: 1_____ 2_____ 3

Chunks:

(ChunkerEvaluator) Sentence #372 from 00101592 from sent18

Text  : Poseł Jarosław Matwiejuk :
Tokens: 1____ 2_______ 3________ 4

Chunks:
  TruePositive nam [2,3] = Jarosław Matwiejuk (confidence=1.00)

(ChunkerEvaluator) Sentence #373 from 00101592 from sent19

Text  : Szanowny Panie Marszałku !
Tokens: 1_______ 2____ 3________ 4

Chunks:

(ChunkerEvaluator) Sentence #374 from 00101592 from sent20

Text  : Wysoki Sejmie !
Tokens: 1_____ 2_____ 3

Chunks:
  TruePositive nam [2,2] = Sejmie (confidence=0.97)

(ChunkerEvaluator) Sentence #375 from 00101592 from sent21

Text  : Panie Ministrze !
Tokens: 1____ 2________ 3

Chunks:

(ChunkerEvaluator) Sentence #376 from 00101592 from sent22

Text  : Mam jedno pytanie do pana ministra : Czy to ujęcie ,_ które zostało zaproponowane w_ indywidualnych ustawach dotyczących stosunku państwa do tych jedenastu ,_ dwunastu Kościołów lub związków wyznaniowych ,_ umożliwia sprowadzanie na polski obszar celny aut do celów kultu ?_
Tokens: 1__ 2____ 3______ 4_ 5___ 6_______ 7 8__ 9_ 10____ 11 12___ 13_____ 14___________ 15 16____________ 17______ 18_________ 19______ 20_____ 21 22__ 23_______ 24 25______ 26_______ 27_ 28______ 29__________ 30 31_______ 32__________ 33 34____ 35____ 36___ 37_ 38 39___ 40___ 41

Chunks:
  TruePositive nam [26,26] = Kościołów (confidence=0.99)

(ChunkerEvaluator) Sentence #377 from 00101592 from sent23

Text  : Czy pan minister był by uprzejmy odpowiedzieć na to pytanie ?_
Tokens: 1__ 2__ 3_______ 4__ 5_ 6_______ 7___________ 8_ 9_ 10_____ 11

Chunks:

(ChunkerEvaluator) Sentence #378 from 00101592 from sent24

Text  : Pozwolę sobie je powtórzyć , bo mam wrażenie , że pan minister niestety jakby nie dosłyszał ._
Tokens: 1______ 2____ 3_ 4________ 5 6_ 7__ 8_______ 9 10 11_ 12______ 13______ 14___ 15_ 16_______ 17

Chunks:

(ChunkerEvaluator) Sentence #379 from 00101592 from sent25

Text  : Może jeszcze raz , panie ministrze : Czy w tym brzmieniu norm prawnych ,_ które zostały wprowadzone ,_ będzie możliwe sprowadzanie aut do celów kultu ?_
Tokens: 1___ 2______ 3__ 4 5____ 6________ 7 8__ 9 10_ 11_______ 12__ 13______ 14 15___ 16_____ 17_________ 18 19____ 20_____ 21__________ 22_ 23 24___ 25___ 26

Chunks:

(ChunkerEvaluator) Sentence #380 from 00101592 from sent26

Text  : Przypomnę , że do 1997 r . taka możliwość w_ polskim systemie prawnym istniała ,_ ale w_ 1997 r_ ._ zmieniono te ustawy ,_ a_ także ustawę o_ gwarancjach wolności sumienia i_ wyznania ,_ z_ wiadomych powodów ,_ uniemożliwiając sprowadzanie aut bez zwolnień celnych ._
Tokens: 1________ 2 3_ 4_ 5___ 6 7 8___ 9________ 10 11_____ 12______ 13_____ 14______ 15 16_ 17 18__ 19 20 21_______ 22 23____ 24 25 26___ 27____ 28 29_________ 30______ 31______ 32 33______ 34 35 36_______ 37_____ 38 39_____________ 40__________ 41_ 42_ 43______ 44_____ 45

Chunks:
  FalseNegative nam [27,33] = ustawę o gwarancjach wolności sumienia i wyznania

(ChunkerEvaluator) Sentence #381 from 00101592 from sent27

Text  : Dziękuję bardzo .
Tokens: 1_______ 2_____ 3

Chunks:

(ChunkerEvaluator) Sentence #382 from 00101592 from sent28

Text  : Wicemarszałek Krzysztof Putra :
Tokens: 1____________ 2________ 3____ 4

Chunks:
  TruePositive nam [2,3] = Krzysztof Putra (confidence=1.00)

(ChunkerEvaluator) Sentence #383 from 00101592 from sent29

Text  : Dziękuję bardzo panu posłowi .
Tokens: 1_______ 2_____ 3___ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #384 from 00101592 from sent30

Text  : Lista posłów zapisanych do głosu została wyczerpana .
Tokens: 1____ 2_____ 3_________ 4_ 5____ 6______ 7_________ 8

Chunks:

(ChunkerEvaluator) Sentence #385 from 00101592 from sent31

Text  : Witam pana ministra i zapraszam do zabrania głosu .
Tokens: 1____ 2___ 3_______ 4 5________ 6_ 7_______ 8____ 9

Chunks:

(ChunkerEvaluator) Sentence #386 from 00101592 from sent32

Text  : Podsekretarz stanu w Ministerstwie Finansów pan Jacek Kapica .
Tokens: 1___________ 2____ 3 4____________ 5_______ 6__ 7____ 8_____ 9

Chunks:
  TruePositive nam [4,5] = Ministerstwie Finansów (confidence=1.00)
  TruePositive nam [7,8] = Jacek Kapica (confidence=1.00)

(ChunkerEvaluator) Sentence #387 from 00101592 from sent33

Text  : Bardzo proszę .
Tokens: 1_____ 2_____ 3

Chunks:

(ChunkerEvaluator) Sentence #388 from 00101592 from sent34

Text  : Podsekretarz Stanu w Ministerstwie Finansów Jacek Kapica :
Tokens: 1___________ 2____ 3 4____________ 5_______ 6____ 7_____ 8

Chunks:
  FalsePositive nam [4,7] = Ministerstwie Finansów Jacek Kapica (confidence=1.00) (incorrect boundry)
  FalseNegative nam [4,5] = Ministerstwie Finansów
  FalseNegative nam [6,7] = Jacek Kapica

(ChunkerEvaluator) Sentence #389 from 00101592 from sent35

Text  : Dziękuję bardzo .
Tokens: 1_______ 2_____ 3

Chunks:

(ChunkerEvaluator) Sentence #390 from 00101592 from sent36

Text  : Panie Marszałku !
Tokens: 1____ 2________ 3

Chunks:

(ChunkerEvaluator) Sentence #391 from 00101592 from sent37

Text  : Wysoki Sejmie !
Tokens: 1_____ 2_____ 3

Chunks:
  TruePositive nam [2,2] = Sejmie (confidence=0.97)

(ChunkerEvaluator) Sentence #392 from 00101592 from sent38

Text  : Już spieszę odpowiedzieć .
Tokens: 1__ 2______ 3___________ 4

Chunks:

(ChunkerEvaluator) Sentence #393 from 00101592 from sent39

Text  : Niewątpliwie ustawa będzie miała pozytywny wpływ na przedsiębiorstwa ze względu na czytelność przepisów prawa ._
Tokens: 1___________ 2_____ 3_____ 4____ 5________ 6____ 7_ 8_______________ 9_ 10_____ 11 12________ 13_______ 14___ 15

Chunks:

(ChunkerEvaluator) Sentence #394 from 00101592 from sent40

Text  : Ze względu na jednoznaczne odwołania w polskim systemie prawa do nowej dyrektywy unijnej nie będzie wątpliwości co do tego ,_ jak system prawa jest ułożony w_ zakresie prawa międzynarodowego i_ prawa krajowego ._
Tokens: 1_ 2______ 3_ 4___________ 5________ 6 7______ 8_______ 9____ 10 11___ 12_______ 13_____ 14_ 15____ 16_________ 17 18 19__ 20 21_ 22____ 23___ 24__ 25_____ 26 27______ 28___ 29______________ 30 31___ 32_______ 33

Chunks:

(ChunkerEvaluator) Sentence #395 from 00101592 from sent41

Text  : Stąd ocenili śmy , że ta ustawa będzie miała pozytywny wpływ na przedsiębiorstwa ._
Tokens: 1___ 2______ 3__ 4 5_ 6_ 7_____ 8_____ 9____ 10_______ 11___ 12 13______________ 14

Chunks:

(ChunkerEvaluator) Sentence #396 from 00101592 from sent42

Text  : Natomiast z punktu widzenia regionów nie widać takiego bezpośredniego wpływu ._
Tokens: 1________ 2 3_____ 4_______ 5_______ 6__ 7____ 8______ 9_____________ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #397 from 00101592 from sent43

Text  : Oczywiście same przedsiębiorstwa nie działają w próżni i działają w_ swoich lokalizacjach ,_ odprowadzając podatki na rzecz czy to samorządu ,_ czy budżetu państwa ._
Tokens: 1_________ 2___ 3_______________ 4__ 5_______ 6 7_____ 8 9_______ 10 11____ 12___________ 13 14___________ 15_____ 16 17___ 18_ 19 20_______ 21 22_ 23_____ 24_____ 25

Chunks:

2017-06-14 20:31:36,417 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 24 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101661.xml
(ChunkerEvaluator) Sentence #398 from 00101661 from sent1

Text  : Panie Marszałku !
Tokens: 1____ 2________ 3

Chunks:

(ChunkerEvaluator) Sentence #399 from 00101661 from sent2

Text  : Wysoka Izbo !
Tokens: 1_____ 2___ 3

Chunks:

(ChunkerEvaluator) Sentence #400 from 00101661 from sent3

Text  : W poselskim projekcie ustawy o zmianie ustawy Kodeks pracy oraz niektórych innych ustaw art ._ 1868 stanowi :_ Pracodawca nie może wypowiedzieć ani rozwiązać umowę o_ pracę w_ okresie od dnia złożenia przez pracownika wniosku o_ obniżenie wymiaru czasu pracy do dnia powrotu do nieobniżonego wymiaru czasu pracy ._
Tokens: 1 2________ 3________ 4_____ 5 6______ 7_____ 8_____ 9____ 10__ 11________ 12____ 13___ 14_ 15 16__ 17_____ 18 19________ 20_ 21__ 22__________ 23_ 24_______ 25___ 26 27___ 28 29_____ 30 31__ 32______ 33___ 34________ 35_____ 36 37_______ 38_____ 39___ 40___ 41 42__ 43_____ 44 45___________ 46_____ 47___ 48___ 49

Chunks:
  TruePositive nam [4,9] = ustawy o zmianie ustawy Kodeks pracy (confidence=0.69)

(ChunkerEvaluator) Sentence #401 from 00101661 from sent4

Text  : Rozwiązanie przez pracodawcę umowy w tym czasie jest dopuszczalne tylko w_ razie ogłoszenia upadłości lub likwidacji pracodawcy ,_ a_ także gdy zachodzą przyczyny uzasadniające rozwiązanie umowy o_ pracę z_ winy pracownika ._
Tokens: 1__________ 2____ 3_________ 4____ 5 6__ 7_____ 8___ 9___________ 10___ 11 12___ 13________ 14_______ 15_ 16________ 17________ 18 19 20___ 21_ 22______ 23_______ 24___________ 25_________ 26___ 27 28___ 29 30__ 31________ 32

Chunks:

(ChunkerEvaluator) Sentence #402 from 00101661 from sent5

Text  : Przepis określa moment objęcia ochroną pracownika , czyli od dnia złożenia wniosku o_ obniżenie wymiaru czasu pracy ._
Tokens: 1______ 2______ 3_____ 4______ 5______ 6_________ 7 8____ 9_ 10__ 11______ 12_____ 13 14_______ 15_____ 16___ 17___ 18

Chunks:

(ChunkerEvaluator) Sentence #403 from 00101661 from sent6

Text  : Nie określa natomiast , kiedy taki wniosek może być złożony ._
Tokens: 1__ 2______ 3________ 4 5____ 6___ 7______ 8___ 9__ 10_____ 11

Chunks:

(ChunkerEvaluator) Sentence #404 from 00101661 from sent7

Text  : Czy nie należało by skonkretyzować terminu złożenia wniosku , by jasne i_ czytelne było ,_ kiedy pracownik może złożyć wniosek (_ Dzwonek )_ ,_ by być chronionym i_ by nie doszło do niepotrzebnych nadużyć prawa ?_
Tokens: 1__ 2__ 3_______ 4_ 5_____________ 6______ 7_______ 8______ 9 10 11___ 12 13______ 14__ 15 16___ 17_______ 18__ 19____ 20_____ 21 22_____ 23 24 25 26_ 27________ 28 29 30_ 31____ 32 33____________ 34_____ 35___ 36

Chunks:

(ChunkerEvaluator) Sentence #405 from 00101661 from sent8

Text  : Dziękuję .
Tokens: 1_______ 2

Chunks:

(ChunkerEvaluator) Sentence #406 from 00101661 from sent9

Text  : ( Oklaski )
Tokens: 1 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #407 from 00101661 from sent10

Text  : Wicemarszałek Stefan Niesiołowski :
Tokens: 1____________ 2_____ 3___________ 4

Chunks:
  TruePositive nam [2,3] = Stefan Niesiołowski (confidence=1.00)

(ChunkerEvaluator) Sentence #408 from 00101661 from sent11

Text  : Bardzo dziękuję , panie pośle .
Tokens: 1_____ 2_______ 3 4____ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #409 from 00101661 from sent12

Text  : Pytanie zadaje pani posłanka Elżbieta Rafalska , Prawo i Sprawiedliwość ._
Tokens: 1______ 2_____ 3___ 4_______ 5_______ 6_______ 7 8____ 9 10____________ 11

Chunks:
  TruePositive nam [5,6] = Elżbieta Rafalska (confidence=1.00)
  TruePositive nam [8,10] = Prawo i Sprawiedliwość (confidence=0.99)

(ChunkerEvaluator) Sentence #410 from 00101661 from sent13

Text  : Poseł Elżbieta Rafalska :
Tokens: 1____ 2_______ 3_______ 4

Chunks:
  TruePositive nam [2,3] = Elżbieta Rafalska (confidence=1.00)

(ChunkerEvaluator) Sentence #411 from 00101661 from sent14

Text  : Panie Marszałku !
Tokens: 1____ 2________ 3

Chunks:

(ChunkerEvaluator) Sentence #412 from 00101661 from sent15

Text  : Wysoka Izbo !
Tokens: 1_____ 2___ 3

Chunks:

(ChunkerEvaluator) Sentence #413 from 00101661 from sent16

Text  : Podobno Polacy chcą mieć więcej dzieci .
Tokens: 1______ 2_____ 3___ 4___ 5_____ 6_____ 7

Chunks:
  TruePositive nam [2,2] = Polacy (confidence=0.99)

(ChunkerEvaluator) Sentence #414 from 00101661 from sent17

Text  : Podobno Polki deklarują , że chciały by mieć więcej dzieci ._
Tokens: 1______ 2____ 3________ 4 5_ 6______ 7_ 8___ 9_____ 10____ 11

Chunks:
  TruePositive nam [2,2] = Polki (confidence=0.95)

(ChunkerEvaluator) Sentence #415 from 00101661 from sent18

Text  : Niestety z tych hipotetycznych chęci nic nie wychodzi .
Tokens: 1_______ 2 3___ 4_____________ 5____ 6__ 7__ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #416 from 00101661 from sent19

Text  : Według tych hipotetycznych chęci wskaźnik dzietności wynosił by dla kobiet 2_ ,_ 33 ,_ dla mężczyzn 2_ ,_ 29 ._
Tokens: 1_____ 2___ 3_____________ 4____ 5_______ 6_________ 7______ 8_ 9__ 10____ 11 12 13 14 15_ 16______ 17 18 19 20

Chunks:

(ChunkerEvaluator) Sentence #417 from 00101661 from sent20

Text  : A jak jest , to doskonale wiemy .
Tokens: 1 2__ 3___ 4 5_ 6________ 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #418 from 00101661 from sent21

Text  : No , może polityka miłości Platformy Obywatelskiej coś w tym względzie pomoże ,_ ale musimy jeszcze trochę poczekać ._
Tokens: 1_ 2 3___ 4_______ 5______ 6________ 7____________ 8__ 9 10_ 11_______ 12____ 13 14_ 15____ 16_____ 17____ 18______ 19

Chunks:
  TruePositive nam [6,7] = Platformy Obywatelskiej (confidence=1.00)

(ChunkerEvaluator) Sentence #419 from 00101661 from sent22

Text  : W każdym razie zakładany wskaźnik dzietności w 2010 r ._ może wynieść 1_ ,_ 1_ ,_ potem 1_ ,_ 2_ ._
Tokens: 1 2_____ 3____ 4________ 5_______ 6_________ 7 8___ 9 10 11__ 12_____ 13 14 15 16 17___ 18 19 20 21

Chunks:

(ChunkerEvaluator) Sentence #420 from 00101661 from sent23

Text  : A więc prognozy demograficzne dla Polski są złe i każdy pomysł wsparcia działań na rzecz polityki prorodzinnej należy witać z_ radością ._
Tokens: 1 2___ 3_______ 4____________ 5__ 6_____ 7_ 8__ 9 10___ 11____ 12______ 13_____ 14 15___ 16______ 17__________ 18____ 19___ 20 21______ 22

Chunks:
  TruePositive nam [6,6] = Polski (confidence=1.00)

(ChunkerEvaluator) Sentence #421 from 00101661 from sent24

Text  : To , co w tej ustawie jest też cenne ,_ to jest rozszerzenie działalności socjalnej ,_ którą możemy finansować z_ funduszu socjalnego ._
Tokens: 1_ 2 3_ 4 5__ 6______ 7___ 8__ 9____ 10 11 12__ 13__________ 14__________ 15_______ 16 17___ 18____ 19________ 20 21______ 22________ 23

Chunks:

(ChunkerEvaluator) Sentence #422 from 00101661 from sent25

Text  : ( Dzwonek ) Moje pytanie brzmi : Czy nie ma obaw co do tego ,_ że na tyle uszczuplimy ten fundusz ,_ iż rzeczywiście świadczenia typowo socjalne dla pracowników na tym ucierpią ?_
Tokens: 1 2______ 3 4___ 5______ 6____ 7 8__ 9__ 10 11__ 12 13 14__ 15 16 17 18__ 19_________ 20_ 21_____ 22 23 24__________ 25_________ 26____ 27______ 28_ 29_________ 30 31_ 32______ 33

Chunks:

(ChunkerEvaluator) Sentence #423 from 00101661 from sent26

Text  : Mam też pytanie : Jak rząd Platformy Obywatelskiej chroni kobiety w_ ciąży pracujące w_ nadgodzinach ?_
Tokens: 1__ 2__ 3______ 4 5__ 6___ 7________ 8____________ 9_____ 10_____ 11 12___ 13_______ 14 15__________ 16

Chunks:
  TruePositive nam [7,8] = Platformy Obywatelskiej (confidence=1.00)

(ChunkerEvaluator) Sentence #424 from 00101661 from sent27

Text  : Widzimy bowiem , jak pracuje pani minister Chłoń - Domińczak –_ jest w_ Sejmie od rana do nocy ._
Tokens: 1______ 2_____ 3 4__ 5______ 6___ 7_______ 8____ 9 10_______ 11 12__ 13 14____ 15 16__ 17 18__ 19

Chunks:
  TruePositive nam [8,10] = Chłoń - Domińczak (confidence=0.59)
  TruePositive nam [14,14] = Sejmie (confidence=1.00)

(ChunkerEvaluator) Sentence #425 from 00101661 from sent28

Text  : I jeszcze jeden pomysł na wykorzystanie sejmowego funduszu socjalnego :_ może na przykład sfinansujemy z_ niego boks do przewijania niemowlaków ,_ który na terenie Sejmu by się przydał ._
Tokens: 1 2______ 3____ 4_____ 5_ 6____________ 7________ 8_______ 9_________ 10 11__ 12 13______ 14__________ 15 16___ 17__ 18 19_________ 20_________ 21 22___ 23 24_____ 25___ 26 27_ 28_____ 29

Chunks:
  TruePositive nam [25,25] = Sejmu (confidence=1.00)

(ChunkerEvaluator) Sentence #426 from 00101661 from sent29

Text  : Dziękuję bardzo .
Tokens: 1_______ 2_____ 3

Chunks:

(ChunkerEvaluator) Sentence #427 from 00101661 from sent30

Text  : ( Oklaski )
Tokens: 1 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #428 from 00101661 from sent31

Text  : Wicemarszałek Stefan Niesiołowski :
Tokens: 1____________ 2_____ 3___________ 4

Chunks:
  TruePositive nam [2,3] = Stefan Niesiołowski (confidence=1.00)

(ChunkerEvaluator) Sentence #429 from 00101661 from sent32

Text  : Dziękuję bardzo , pani poseł .
Tokens: 1_______ 2_____ 3 4___ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #430 from 00101661 from sent33

Text  : Pytanie zadaje pan poseł Jarosław Pięta , Platforma Obywatelska ._
Tokens: 1______ 2_____ 3__ 4____ 5_______ 6____ 7 8________ 9__________ 10

Chunks:
  TruePositive nam [5,6] = Jarosław Pięta (confidence=1.00)
  TruePositive nam [8,9] = Platforma Obywatelska (confidence=1.00)

(ChunkerEvaluator) Sentence #431 from 00101661 from sent34

Text  : Poseł Jarosław Pięta :
Tokens: 1____ 2_______ 3____ 4

Chunks:
  TruePositive nam [2,3] = Jarosław Pięta (confidence=1.00)

2017-06-14 20:31:36,541 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 25 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101716.xml
(ChunkerEvaluator) Sentence #432 from 00101716 from sent1

Text  : To , co w gruncie rzeczy przedstawia Stephen Worth ,_ to pewna wizja medialnej diety :_ warto konsumować treści tworzone przez ludzi obdarzonych talentem ,_ umiejętnościami i_ kreatywnością ._
Tokens: 1_ 2 3_ 4 5______ 6_____ 7__________ 8______ 9____ 10 11 12___ 13___ 14_______ 15___ 16 17___ 18________ 19____ 20______ 21___ 22___ 23_________ 24______ 25 26_____________ 27 28___________ 29

Chunks:
  TruePositive nam [8,9] = Stephen Worth (confidence=1.00)

(ChunkerEvaluator) Sentence #433 from 00101716 from sent2

Text  : Najwyższa pora , by zacząć formułować tego rodzaju diety :_ wskazówki i_ przepisy ,_ jak nie zwariować w_ świecie przepełnionym treściami ._
Tokens: 1________ 2___ 3 4_ 5_____ 6_________ 7___ 8______ 9____ 10 11_______ 12 13______ 14 15_ 16_ 17_______ 18 19_____ 20___________ 21_______ 22

Chunks:

(ChunkerEvaluator) Sentence #434 from 00101716 from sent3

Text  : Przekrój niedawno ogłosił 77 ważnych wydarzeń w 2010 ( ponad jedno na tydzień )_ ;_ Gazeta Wyborcza opublikowała listę 31 filmów ,_ które trzeba zobaczyć (_ trzy na miesiąc )_ ;_ wczoraj poznali śmy 200 rzeczy związanych z_ Chopinem ,_ które wydarzą się w_ roku 2010 ._
Tokens: 1_______ 2_______ 3______ 4_ 5______ 6_______ 7 8___ 9 10___ 11___ 12 13_____ 14 15 16____ 17______ 18__________ 19___ 20 21____ 22 23___ 24____ 25______ 26 27__ 28 29_____ 30 31 32_____ 33_____ 34_ 35_ 36____ 37________ 38 39______ 40 41___ 42_____ 43_ 44 45__ 46__ 47

Chunks:
  TruePositive nam [16,17] = Gazeta Wyborcza (confidence=0.95)
  TruePositive nam [39,39] = Chopinem (confidence=1.00)
  FalseNegative nam [1,1] = Przekrój

(ChunkerEvaluator) Sentence #435 from 00101716 from sent4

Text  : Znając życie , organizatorzy festiwali Sputnik , Era Nowe Horyzonty czy Warszawskiego Festiwalu Filmowego ogłoszą wkrótce ,_ że tegoroczne ,_ jeszcze lepsze niż rok temu ,_ festiwale będą miały o_ kolejne kilkadziesiąt filmów więcej niż poprzednio ._
Tokens: 1_____ 2____ 3 4____________ 5________ 6______ 7 8__ 9___ 10_______ 11_ 12___________ 13_______ 14_______ 15_____ 16_____ 17 18 19________ 20 21_____ 22____ 23_ 24_ 25__ 26 27_______ 28__ 29___ 30 31_____ 32___________ 33____ 34____ 35_ 36________ 37

Chunks:
  TruePositive nam [6,6] = Sputnik (confidence=0.97)
  TruePositive nam [8,10] = Era Nowe Horyzonty (confidence=1.00)
  TruePositive nam [12,14] = Warszawskiego Festiwalu Filmowego (confidence=1.00)

(ChunkerEvaluator) Sentence #436 from 00101716 from sent5

Text  : Kultura puchnie , a nasze kalendarze już są pewnie całe wypełnione ._
Tokens: 1______ 2______ 3 4 5____ 6_________ 7__ 8_ 9_____ 10__ 11________ 12

Chunks:

(ChunkerEvaluator) Sentence #437 from 00101716 from sent6

Text  : A rok się dopiero zaczął .
Tokens: 1 2__ 3__ 4______ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #438 from 00101716 from sent7

Text  : Pora zacząć wymieniać się wskazówkami , co i w jakich ilościach konsumować ._
Tokens: 1___ 2_____ 3________ 4__ 5__________ 6 7_ 8 9 10____ 11_______ 12________ 13

Chunks:

(ChunkerEvaluator) Sentence #439 from 00101716 from sent8

Text  : Momus niedawno zwierzył się , że czasem musi oglądać chłam :_
Tokens: 1____ 2_______ 3_______ 4__ 5 6_ 7_____ 8___ 9______ 10___ 11

Chunks:
  TruePositive nam [1,1] = Momus (confidence=0.97)

(ChunkerEvaluator) Sentence #440 from 00101716 from sent9

Text  : I ’ m fascinated by it .
Tokens: 1 2 3 4_________ 5_ 6_ 7

Chunks:

(ChunkerEvaluator) Sentence #441 from 00101716 from sent10

Text  : A Robin Sloan formułuje teorię “ flow and stock ”_ ,_ zgodnie z_ którą każdy twórca musi dziś balansować między stałą produkcją sieciowych efemeraliów -_ tak by ludzie o_ nim nie zapomnieli (_ flow )_ oraz produkcją ,_ raz na pewien czas ,_ porcji solidnej treści (_ stack )_ ._
Tokens: 1 2____ 3____ 4________ 5_____ 6 7___ 8__ 9____ 10 11 12_____ 13 14___ 15___ 16____ 17__ 18__ 19________ 20____ 21___ 22_______ 23________ 24_________ 25 26_ 27 28____ 29 30_ 31_ 32________ 33 34__ 35 36__ 37_______ 38 39_ 40 41____ 42__ 43 44____ 45______ 46____ 47 48___ 49 50

Chunks:
  TruePositive nam [2,3] = Robin Sloan (confidence=0.70)
  FalsePositive nam [7,9] = flow and stock (confidence=0.64) (incorrect boundry)

(ChunkerEvaluator) Sentence #442 from 00101716 from sent11

Text  : Odwracając ten pomysł , dieta medialna wielu z nas powinna się składać zarówno z_ treści bieżących i_ płytkich ,_ jak i_ z_ czegoś konkretnego skonsumowanego raz na pewien czas ._
Tokens: 1_________ 2__ 3_____ 4 5____ 6_______ 7____ 8 9__ 10_____ 11_ 12_____ 13_____ 14 15____ 16_______ 17 18______ 19 20_ 21 22 23____ 24_________ 25____________ 26_ 27 28____ 29__ 30

Chunks:

(ChunkerEvaluator) Sentence #443 from 00101716 from sent12

Text  : A dieta jako metafora stylu uczestnictwa w kulturze powinna zastąpić koncepcję kanonu -_ nie ma już jednego kanonu kultury ,_ tak jak nie ma jednej diety dobrej dla wszystkich ._
Tokens: 1 2____ 3___ 4_______ 5____ 6___________ 7 8_______ 9______ 10______ 11_______ 12____ 13 14_ 15 16_ 17_____ 18____ 19_____ 20 21_ 22_ 23_ 24 25____ 26___ 27____ 28_ 29________ 30

Chunks:

2017-06-14 20:31:36,617 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 26 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101757.xml
(ChunkerEvaluator) Sentence #444 from 00101757 from sent1

Text  : Microsoft po raz kolejny udaje , że ugiął się pod naciskiem Komisji Europejskiej i_ po raz kolejny ogłasza zasady interoperacyjności obiecując wolność ,_ równość i_ braterstwo ._
Tokens: 1________ 2_ 3__ 4______ 5____ 6 7_ 8____ 9__ 10_ 11_______ 12_____ 13__________ 14 15 16_ 17_____ 18_____ 19____ 20________________ 21_______ 22_____ 23 24_____ 25 26________ 27

Chunks:
  TruePositive nam [12,13] = Komisji Europejskiej (confidence=1.00)
  FalseNegative nam [1,1] = Microsoft

(ChunkerEvaluator) Sentence #445 from 00101757 from sent2

Text  : W " zasadach interoperacyjności " słowo " otwarte " powtórzone zostało czterdzieści razy ._
Tokens: 1 2 3_______ 4_________________ 5 6____ 7 8______ 9 10________ 11_____ 12__________ 13__ 14

Chunks:

(ChunkerEvaluator) Sentence #446 from 00101757 from sent3

Text  : Jednak " otwartość " według Microsoftu oznacza po pierwsze ,_ że za korzystanie z_ otwartych protokołów trzeba płacić ._
Tokens: 1_____ 2 3________ 4 5_____ 6_________ 7______ 8_ 9_______ 10 11 12 13_________ 14 15_______ 16________ 17____ 18____ 19

Chunks:
  TruePositive nam [6,6] = Microsoftu (confidence=1.00)

(ChunkerEvaluator) Sentence #447 from 00101757 from sent4

Text  : Gest polega na tym , że opłata nie będzie nikogo dyskryminować ,_ nazwijmy to równością ._
Tokens: 1___ 2_____ 3_ 4__ 5 6_ 7_____ 8__ 9_____ 10____ 11___________ 12 13______ 14 15_______ 16

Chunks:

(ChunkerEvaluator) Sentence #448 from 00101757 from sent5

Text  : Nie ma co się czepiać , że patenty na oprogramowanie jako takie w_ Europie nie powinny obowiązywać -_ Amerykanie płacą ,_ więc Europejczycy też powinni ._
Tokens: 1__ 2_ 3_ 4__ 5______ 6 7_ 8______ 9_ 10____________ 11__ 12___ 13 14_____ 15_ 16_____ 17_________ 18 19________ 20___ 21 22__ 23__________ 24_ 25_____ 26

Chunks:
  TruePositive nam [14,14] = Europie (confidence=1.00)
  TruePositive nam [19,19] = Amerykanie (confidence=1.00)
  TruePositive nam [23,23] = Europejczycy (confidence=1.00)

(ChunkerEvaluator) Sentence #449 from 00101757 from sent6

Text  : Niech to będzie braterstwo .
Tokens: 1____ 2_ 3_____ 4_________ 5

Chunks:

(ChunkerEvaluator) Sentence #450 from 00101757 from sent7

Text  : Po drugie " otwartość " ( protokołów ) oznacza ,_ że programiści tworzący wolne oprogramowanie mogą owszem z_ niej korzystać ,_ ale tylko do celów niekomercyjnych ,_ na podstawie jednostronnego oświadczenia MS ,_ że nie zostaną pozwani ._
Tokens: 1_ 2_____ 3 4________ 5 6 7_________ 8 9______ 10 11 12_________ 13______ 14___ 15____________ 16__ 17____ 18 19__ 20_______ 21 22_ 23___ 24 25___ 26_____________ 27 28 29_______ 30____________ 31__________ 32 33 34 35_ 36_____ 37_____ 38

Chunks:
  TruePositive nam [32,32] = MS (confidence=0.99)

(ChunkerEvaluator) Sentence #451 from 00101757 from sent8

Text  : No i mamy wolność .
Tokens: 1_ 2 3___ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #452 from 00101757 from sent9

Text  : A gdyby tak pójść w drugą stronę i zmusić MS do zamknięcia wszystkich API i_ protokołów ,_ dać im możliwość zrobienia kompletnego systemu z_ programami do wszystkiego -_ z_ Officem od razu wbudowanym w_ Windows ,_ nieusuwalnym Internet Explorerem ,_ odtwarzaczem multimedialnym grającym wyłącznie microsoftowy DRM ._ ._ ._
Tokens: 1 2____ 3__ 4____ 5 6____ 7_____ 8 9_____ 10 11 12________ 13________ 14_ 15 16________ 17 18_ 19 20_______ 21_______ 22_________ 23_____ 24 25________ 26 27_________ 28 29 30_____ 31 32__ 33________ 34 35_____ 36 37__________ 38______ 39________ 40 41__________ 42____________ 43______ 44_______ 45__________ 46_ 47 48 49

Chunks:
  TruePositive nam [10,10] = MS (confidence=0.98)
  TruePositive nam [30,30] = Officem (confidence=1.00)
  TruePositive nam [35,35] = Windows (confidence=1.00)
  TruePositive nam [38,39] = Internet Explorerem (confidence=1.00)
  FalsePositive nam [14,14] = API (confidence=0.95) (incorrect boundry)
  FalsePositive nam [46,46] = DRM (confidence=0.94) (incorrect boundry)

(ChunkerEvaluator) Sentence #453 from 00101757 from sent10

Text  : Chcesz grać ?
Tokens: 1_____ 2___ 3

Chunks:

(ChunkerEvaluator) Sentence #454 from 00101757 from sent11

Text  : Kup konsolę , a najlepiej trzy .
Tokens: 1__ 2______ 3 4 5________ 6___ 7

Chunks:

(ChunkerEvaluator) Sentence #455 from 00101757 from sent12

Text  : Chcesz Photoshopa ?
Tokens: 1_____ 2_________ 3

Chunks:
  TruePositive nam [2,2] = Photoshopa (confidence=0.91)

(ChunkerEvaluator) Sentence #456 from 00101757 from sent13

Text  : Kup maka .
Tokens: 1__ 2___ 3

Chunks:

(ChunkerEvaluator) Sentence #457 from 00101757 from sent14

Text  : Chcesz system do sprawdzania poczty i profilu na naszej klasie ?_
Tokens: 1_____ 2_____ 3_ 4__________ 5_____ 6 7______ 8_ 9_____ 10____ 11

Chunks:
  FalseNegative nam [9,10] = naszej klasie

(ChunkerEvaluator) Sentence #458 from 00101757 from sent15

Text  : Jest Ubuntu .
Tokens: 1___ 2_____ 3

Chunks:
  TruePositive nam [2,2] = Ubuntu (confidence=0.97)

(ChunkerEvaluator) Sentence #459 from 00101757 from sent16

Text  : Może zamiast otwierać oprogramowanie wszystkich urządzeń , żeby były podobne do pecetów (_ droga ,_ którą wybrała FSF wydając GPLv3 )_ ,_ należy rynek pecetów upodobnić do rynku komórek ?_
Tokens: 1___ 2______ 3_______ 4_____________ 5_________ 6_______ 7 8___ 9___ 10_____ 11 12_____ 13 14___ 15 16___ 17_____ 18_ 19_____ 20___ 21 22 23____ 24___ 25_____ 26_______ 27 28___ 29_____ 30

Chunks:
  TruePositive nam [18,18] = FSF (confidence=1.00)
  TruePositive nam [20,20] = GPLv3 (confidence=0.94)

(ChunkerEvaluator) Sentence #460 from 00101757 from sent17

Text  : W końcu już teraz kupując dostęp do internetu można dostać na kredyt laptopa ._
Tokens: 1 2____ 3__ 4____ 5______ 6_____ 7_ 8________ 9____ 10____ 11 12____ 13_____ 14

Chunks:
  TruePositive nam [8,8] = internetu (confidence=0.98)

(ChunkerEvaluator) Sentence #461 from 00101757 from sent18

Text  : Czy to aż tak wielka różnica , jaki system jest na nim preinstalowany ?_
Tokens: 1__ 2_ 3_ 4__ 5_____ 6______ 7 8___ 9_____ 10__ 11 12_ 13____________ 14

Chunks:

2017-06-14 20:31:36,696 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 27 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101758.xml
(ChunkerEvaluator) Sentence #462 from 00101758 from sent1

Text  : W dzień matki program trzeci polskiego radia zapowiedział - przygotowany specjalnie na tę okazję (_ sic !_ )_ -_ reportaż o_ zagrożeniach czyhających na młodzież w_ dzisiejszych czasach ._
Tokens: 1 2____ 3____ 4______ 5_____ 6________ 7____ 8___________ 9 10__________ 11________ 12 13 14____ 15 16_ 17 18 19 20______ 21 22__________ 23_________ 24 25______ 26 27__________ 28_____ 29

Chunks:
  FalseNegative nam [2,3] = dzień matki
  FalseNegative nam [4,5] = program trzeci
  FalseNegative nam [6,7] = polskiego radia

(ChunkerEvaluator) Sentence #463 from 00101758 from sent2

Text  : Redaktor jednym tchem wymienił " alkohol , narkotyki i internet "_ ._
Tokens: 1_______ 2_____ 3____ 4_______ 5 6______ 7 8________ 9 10______ 11 12

Chunks:
  TruePositive nam [10,10] = internet (confidence=0.86)

(ChunkerEvaluator) Sentence #464 from 00101758 from sent3

Text  : Reportaż jakoś mi umknął , została w głowie zapowiedź ,_ która wraca przy okazji rządowych planów rozdawania laptopów gimnazjalistom ._
Tokens: 1_______ 2____ 3_ 4_____ 5 6______ 7 8_____ 9________ 10 11___ 12___ 13__ 14____ 15_______ 16____ 17________ 18______ 19____________ 20

Chunks:

(ChunkerEvaluator) Sentence #465 from 00101758 from sent4

Text  : Rządowe plany też nie są szczególnie nowe , przypomniały mi się w_ związku z_ Rybczyńskim (_ wkrótce )_ ,_ a_ wczoraj nawet trafił się w_ Wyborczej artykuł na ten temat ,_ w_ którym dziennikarz zaczyna od odkrywczego pytania ,_ dlaczego Intelowi zależy na sprzedaży większej liczby komputerów ,_ a_ pani z_ Intela opowiada ciekawe anegdoty o_ podobnych programach w_ innych krajach (_ mimo pierwszego pytania warto przeczytać )_ ._
Tokens: 1______ 2____ 3__ 4__ 5_ 6__________ 7___ 8 9___________ 10 11_ 12 13_____ 14 15_________ 16 17_____ 18 19 20 21_____ 22___ 23____ 24_ 25 26_______ 27_____ 28 29_ 30___ 31 32 33____ 34_________ 35_____ 36 37_________ 38_____ 39 40______ 41______ 42____ 43 44_______ 45______ 46____ 47________ 48 49 50__ 51 52____ 53______ 54_____ 55______ 56 57_______ 58________ 59 60____ 61_____ 62 63__ 64________ 65_____ 66___ 67________ 68 69

Chunks:
  TruePositive nam [15,15] = Rybczyńskim (confidence=1.00)
  TruePositive nam [26,26] = Wyborczej (confidence=0.72)
  TruePositive nam [41,41] = Intelowi (confidence=1.00)
  TruePositive nam [52,52] = Intela (confidence=0.98)

(ChunkerEvaluator) Sentence #466 from 00101758 from sent5

Text  : Na dodatek w ostatniej swojej wypowiedzi wypowiada kluczową kwestię "_ a_ co potem ?_ "_
Tokens: 1_ 2______ 3 4________ 5_____ 6_________ 7________ 8_______ 9______ 10 11 12 13___ 14 15

Chunks:

(ChunkerEvaluator) Sentence #467 from 00101758 from sent6

Text  : Pomijając chwilowo kwestię tego , co znajdzie się w rozdawanych komputerach ,_ zastanawiam się ,_ w_ jaki sposób te laptopy będą łączyć się z_ internetem ._
Tokens: 1________ 2_______ 3______ 4___ 5 6_ 7_______ 8__ 9 10_________ 11_________ 12 13_________ 14_ 15 16 17__ 18____ 19 20_____ 21__ 22____ 23_ 24 25________ 26

Chunks:
  TruePositive nam [25,25] = internetem (confidence=0.91)

(ChunkerEvaluator) Sentence #468 from 00101758 from sent7

Text  : Rozumiem , że zasypywanie cyfrowych podziałów wymaga dofinansowania Intela /_ AMD i_ Microsoftu (_ który bez mrugnięcia może wyposażyć każdą ilość komputerów dla uczniów w_ oprogramowanie za symboliczną opłatą )_ ,_ ale czyżby również ostatecznie państwo miało by sfinansować infrastrukturę 3G dla firm telekomunikacyjnych ?_
Tokens: 1_______ 2 3_ 4__________ 5________ 6________ 7_____ 8_____________ 9_____ 10 11_ 12 13________ 14 15___ 16_ 17________ 18__ 19_______ 20___ 21___ 22________ 23_ 24_____ 25 26____________ 27 28_________ 29____ 30 31 32_ 33____ 34_____ 35_________ 36_____ 37___ 38 39_________ 40____________ 41 42_ 43__ 44_________________ 45

Chunks:
  TruePositive nam [9,9] = Intela (confidence=1.00)
  TruePositive nam [11,11] = AMD (confidence=0.91)
  TruePositive nam [13,13] = Microsoftu (confidence=0.56)
  FalseNegative nam [41,41] = 3G

(ChunkerEvaluator) Sentence #469 from 00101758 from sent8

Text  : Czy może poza miastami gimnazjaliści mieli by zadowolić się dostępem przez GPRS /_ EDGE ?_
Tokens: 1__ 2___ 3___ 4_______ 5____________ 6____ 7_ 8________ 9__ 10______ 11___ 12__ 13 14__ 15

Chunks:
  TruePositive nam [12,12] = GPRS (confidence=0.98)
  FalseNegative nam [14,14] = EDGE

(ChunkerEvaluator) Sentence #470 from 00101758 from sent9

Text  : To może równie dobrze od razu rozdać im Playstation ?_
Tokens: 1_ 2___ 3_____ 4_____ 5_ 6___ 7_____ 8_ 9__________ 10

Chunks:
  TruePositive nam [9,9] = Playstation (confidence=0.99)

(ChunkerEvaluator) Sentence #471 from 00101758 from sent10

Text  : W ramach programu pojawiają się hasła o " doprowadzaniu szerokopasmowego internetu "_ ,_ czy to zapowiedź światłowodów traktowanych na równi z_ kanalizacją ?_
Tokens: 1 2_____ 3_______ 4________ 5__ 6____ 7 8 9____________ 10______________ 11_______ 12 13 14_ 15 16_______ 17__________ 18__________ 19 20___ 21 22_________ 23

Chunks:
  TruePositive nam [11,11] = internetu (confidence=0.54)

(ChunkerEvaluator) Sentence #472 from 00101758 from sent11

Text  : Nawet jeżeli zapomnieć o polskich realiach i uznać , że do każdej gminnej szkoły dociągnięty zostanie światłowód ,_ co z_ ostatnią milą ?_
Tokens: 1____ 2_____ 3________ 4 5_______ 6_______ 7 8____ 9 10 11 12____ 13_____ 14____ 15_________ 16______ 17________ 18 19 20 21______ 22__ 23

Chunks:

(ChunkerEvaluator) Sentence #473 from 00101758 from sent12

Text  : Czy szkoła ma stać się podstawą dla gminnej sieci WiFi ?_
Tokens: 1__ 2_____ 3_ 4___ 5__ 6_______ 7__ 8______ 9____ 10__ 11

Chunks:
  TruePositive nam [10,10] = WiFi (confidence=1.00)

(ChunkerEvaluator) Sentence #474 from 00101758 from sent13

Text  : Czy za darmo będą mogli z niej korzystać jedynie gimnazjaliści w_ swoich laptopach ?_
Tokens: 1__ 2_ 3____ 4___ 5____ 6 7___ 8________ 9______ 10___________ 11 12____ 13_______ 14

Chunks:

(ChunkerEvaluator) Sentence #475 from 00101758 from sent14

Text  : Można sięgnąć do utopijnych wizji wszechobecnych sieci bezprzewodowych Benklera ,_ który liczy na to ,_ że domyślnym ustawieniem ruterów pozostaną sieci otwarte ,_ bez żadnych wepów i_ wapów ,_ dzięki czemu każdy zawsze i_ wszędzie będzie mógł skorzystać z_ zasięgu ._
Tokens: 1____ 2______ 3_ 4_________ 5____ 6_____________ 7____ 8______________ 9_______ 10 11___ 12___ 13 14 15 16 17_______ 18_________ 19_____ 20_______ 21___ 22_____ 23 24_ 25_____ 26___ 27 28___ 29 30____ 31___ 32___ 33____ 34 35______ 36____ 37__ 38________ 39 40_____ 41

Chunks:
  TruePositive nam [9,9] = Benklera (confidence=1.00)

(ChunkerEvaluator) Sentence #476 from 00101758 from sent15

Text  : Benkler starannie omija problem gapowicza - w przypadku rządowego programu ominięcie problemu można wymusić rozdając oprócz laptopów bezprzewodowe rutery ,_ w_ których żadnych zabezpieczeń nie można włączyć (_ o_ matko !_ )_ ._
Tokens: 1______ 2________ 3____ 4______ 5________ 6 7 8________ 9________ 10______ 11_______ 12______ 13___ 14_____ 15______ 16____ 17______ 18___________ 19____ 20 21 22_____ 23_____ 24__________ 25_ 26___ 27_____ 28 29 30___ 31 32 33

Chunks:
  TruePositive nam [1,1] = Benkler (confidence=0.96)

(ChunkerEvaluator) Sentence #477 from 00101758 from sent16

Text  : A może pójść jeszcze dalej i zaplanować rzeczywiście nowatorskie oprogramowanie i_ odpowiednie urządzenia w_ laptopach ,_ które odtwarzały by windowsowego buga ,_ słynne "_ Free Public WiFi "_ ._
Tokens: 1 2___ 3____ 4______ 5____ 6 7_________ 8___________ 9__________ 10____________ 11 12_________ 13________ 14 15_______ 16 17___ 18________ 19 20__________ 21__ 22 23____ 24 25__ 26____ 27__ 28 29

Chunks:
  TruePositive nam [25,27] = Free Public WiFi (confidence=1.00)

(ChunkerEvaluator) Sentence #478 from 00101758 from sent17

Text  : Szkoła była by źródłem pierwszego sygnału , który rozprzestrzeniał by się dzięki laptopom działającym w_ trybie ad hoc (_ czy też "_ komputer -_ komputer "_ )_ ._
Tokens: 1_____ 2___ 3_ 4______ 5_________ 6______ 7 8____ 9_______________ 10 11_ 12____ 13______ 14_________ 15 16____ 17 18_ 19 20_ 21_ 22 23______ 24 25______ 26 27 28

Chunks:

2017-06-14 20:31:36,814 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 28 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101791.xml
(ChunkerEvaluator) Sentence #479 from 00101791 from sent1

Text  : Cytowane poniżej odpowiedzi na pytania są tak genialne w swej prostocie że właściwie treść pytań jest całkowicie nieistotna ._
Tokens: 1_______ 2______ 3_________ 4_ 5______ 6_ 7__ 8_______ 9 10__ 11_______ 12 13_______ 14___ 15___ 16__ 17________ 18________ 19

Chunks:

(ChunkerEvaluator) Sentence #480 from 00101791 from sent2

Text  : Pochodzą z nieautoryzowanego nagrania dziennikarki „ Gazety Wyborczej ” ._
Tokens: 1_______ 2 3________________ 4_______ 5___________ 6 7_____ 8________ 9 10

Chunks:
  TruePositive nam [7,8] = Gazety Wyborczej (confidence=1.00)

(ChunkerEvaluator) Sentence #481 from 00101791 from sent3

Text  : Oto one : „ Trudno mi powiedzieć , nie znam tych sytuacji ._
Tokens: 1__ 2__ 3 4 5_____ 6_ 7_________ 8 9__ 10__ 11__ 12______ 13

Chunks:

(ChunkerEvaluator) Sentence #482 from 00101791 from sent4

Text  : Nie wiem , nie mam przed sobą dokumentów .
Tokens: 1__ 2___ 3 4__ 5__ 6____ 7___ 8_________ 9

Chunks:

(ChunkerEvaluator) Sentence #483 from 00101791 from sent5

Text  : Trudno mi powiedzieć , musiał by m to sprawdzić ._
Tokens: 1_____ 2_ 3_________ 4 5_____ 6_ 7 8_ 9________ 10

Chunks:

(ChunkerEvaluator) Sentence #484 from 00101791 from sent6

Text  : Jest tam pewna liczba ustaw i rozporządzeń .
Tokens: 1___ 2__ 3____ 4_____ 5____ 6 7___________ 8

Chunks:

(ChunkerEvaluator) Sentence #485 from 00101791 from sent7

Text  : Trudno mi powiedzieć .
Tokens: 1_____ 2_ 3_________ 4

Chunks:

(ChunkerEvaluator) Sentence #486 from 00101791 from sent8

Text  : Nie wiem tego .
Tokens: 1__ 2___ 3___ 4

Chunks:

(ChunkerEvaluator) Sentence #487 from 00101791 from sent9

Text  : - Nie mogę dłużej rozmawiać .
Tokens: 1 2__ 3___ 4_____ 5________ 6

Chunks:

(ChunkerEvaluator) Sentence #488 from 00101791 from sent10

Text  : Proszę przysłać pytania mailem .
Tokens: 1_____ 2_______ 3______ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #489 from 00101791 from sent11

Text  : - Postaram się to sprawdzić , ale niczego nie gwarantuję ._
Tokens: 1 2_______ 3__ 4_ 5________ 6 7__ 8______ 9__ 10________ 11

Chunks:

(ChunkerEvaluator) Sentence #490 from 00101791 from sent12

Text  : Nie wiem , czy mi się uda to sprawdzić ._
Tokens: 1__ 2___ 3 4__ 5_ 6__ 7__ 8_ 9________ 10

Chunks:

(ChunkerEvaluator) Sentence #491 from 00101791 from sent13

Text  : Postaram się odpowiedzieć w odpowiednim terminie . ”
Tokens: 1_______ 2__ 3___________ 4 5__________ 6_______ 7 8

Chunks:

(ChunkerEvaluator) Sentence #492 from 00101791 from sent14

Text  : Człowiekiem , który nic nie wie i niczego nie wyjaśnia jest rzecznik rządu najjaśniejszej czwartej –_ Jan Dziedziczak ._
Tokens: 1__________ 2 3____ 4__ 5__ 6__ 7 8______ 9__ 10______ 11__ 12______ 13___ 14____________ 15______ 16 17_ 18_________ 19

Chunks:
  TruePositive nam [17,18] = Jan Dziedziczak (confidence=1.00)

(ChunkerEvaluator) Sentence #493 from 00101791 from sent15

Text  : Występy publiczne tego pana odznaczają się pewną szczególna cechą ._
Tokens: 1______ 2________ 3___ 4___ 5_________ 6__ 7____ 8_________ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #494 from 00101791 from sent16

Text  : Wydając z siebie głos , nie udziela odpowiedzi i za to pobiera pensję ._
Tokens: 1______ 2 3_____ 4___ 5 6__ 7______ 8_________ 9 10 11 12_____ 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #495 from 00101791 from sent17

Text  : Sięgając pamięcią do niesłusznej III RP widzę oczami duszy dwie panie :_ utytułowana piękność ,_ która zasłynęła powiedzeniem iż „_ premierowi się nie odmawia ”_ ,_ a_ karierę rzecznika prasowego zakończyła bez wstrząsów wraz ze swoim szefem ._
Tokens: 1_______ 2_______ 3_ 4__________ 5__ 6_ 7____ 8_____ 9____ 10__ 11___ 12 13_________ 14______ 15 16___ 17_______ 18__________ 19 20 21________ 22_ 23_ 24_____ 25 26 27 28_____ 29_______ 30_______ 31________ 32_ 33_______ 34__ 35 36___ 37____ 38

Chunks:
  TruePositive nam [5,6] = III RP (confidence=0.45)

(ChunkerEvaluator) Sentence #496 from 00101791 from sent18

Text  : Daje się nam poznać jako autorka smakowitości kulinarnych .
Tokens: 1___ 2__ 3__ 4_____ 5___ 6______ 7___________ 8__________ 9

Chunks:

(ChunkerEvaluator) Sentence #497 from 00101791 from sent19

Text  : Była , zaistniała .
Tokens: 1___ 2 3_________ 4

Chunks:

(ChunkerEvaluator) Sentence #498 from 00101791 from sent20

Text  : Pani Ewa Wachowicz .
Tokens: 1___ 2__ 3________ 4

Chunks:
  TruePositive nam [2,3] = Ewa Wachowicz (confidence=1.00)

(ChunkerEvaluator) Sentence #499 from 00101791 from sent21

Text  : Jej poprzedniczka – pani Małgorzata Niezabitowska .
Tokens: 1__ 2____________ 3 4___ 5_________ 6____________ 7

Chunks:
  TruePositive nam [5,6] = Małgorzata Niezabitowska (confidence=1.00)

(ChunkerEvaluator) Sentence #500 from 00101791 from sent22

Text  : Wsławiła się nie tylko blond fryzurą , ale i poziomem prowadzonych z_ niezwykłą elegancją konferencji prasowych oraz wypowiedziami równie wyczerpującymi temat ,_ co kompetentnymi ._
Tokens: 1_______ 2__ 3__ 4____ 5____ 6______ 7 8__ 9 10______ 11__________ 12 13_______ 14_______ 15_________ 16_______ 17__ 18___________ 19____ 20____________ 21___ 22 23 24___________ 25

Chunks:

(ChunkerEvaluator) Sentence #501 from 00101791 from sent23

Text  : Była błyskotliwym uzupełnieniem małomównego premiera Tadeusza Mazowieckiego .
Tokens: 1___ 2___________ 3____________ 4__________ 5_______ 6_______ 7____________ 8

Chunks:
  TruePositive nam [6,7] = Tadeusza Mazowieckiego (confidence=1.00)

2017-06-14 20:31:36,882 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 29 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101876.xml
(ChunkerEvaluator) Sentence #502 from 00101876 from sent1

Text  : Czyszczenie łożysk
Tokens: 1__________ 2_____

Chunks:

(ChunkerEvaluator) Sentence #503 from 00101876 from sent2

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #504 from 00101876 from sent3

Text  : Wyjmujemy łożyska z modelu i czyścimy z zewnątrz szczoteczką do zębów i_ denaturatem ._
Tokens: 1________ 2______ 3 4_____ 5 6_______ 7 8_______ 9__________ 10 11___ 12 13_________ 14

Chunks:

(ChunkerEvaluator) Sentence #505 from 00101876 from sent4

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #506 from 00101876 from sent5

Text  : Sprawdzamy każde z nich po kolei .
Tokens: 1_________ 2____ 3 4___ 5_ 6____ 7

Chunks:

(ChunkerEvaluator) Sentence #507 from 00101876 from sent6

Text  : Te , które obracaja sie gładko mogą wrócic do modelu ,_ pozostale będziemy musieli wyczyścic wewnątrz ._
Tokens: 1_ 2 3____ 4_______ 5__ 6_____ 7___ 8_____ 9_ 10____ 11 12_______ 13______ 14_____ 15_______ 16______ 17

Chunks:

(ChunkerEvaluator) Sentence #508 from 00101876 from sent7

Text  : W tym celu zdejmujemy pierścienie przytrzymujące osłonki z obydwu stron łożyska -_ można to zrobić np ._ podważając je ostrożnie szpilką ._
Tokens: 1 2__ 3___ 4_________ 5__________ 6_____________ 7______ 8 9_____ 10___ 11_____ 12 13___ 14 15____ 16 17 18________ 19 20_______ 21_____ 22

Chunks:

(ChunkerEvaluator) Sentence #509 from 00101876 from sent8

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #510 from 00101876 from sent9

Text  : Zdejmujemy osłonki i czyścimy łożysko wewnątrz szczoteczką i denaturatem ._
Tokens: 1_________ 2______ 3 4_______ 5______ 6_______ 7__________ 8 9__________ 10

Chunks:

(ChunkerEvaluator) Sentence #511 from 00101876 from sent10

Text  : 4 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #512 from 00101876 from sent11

Text  : Sprawdzamy , czy teraz łożyska wyglądają na czyste i obracają się gładko ._
Tokens: 1_________ 2 3__ 4____ 5______ 6________ 7_ 8_____ 9 10______ 11_ 12____ 13

Chunks:

(ChunkerEvaluator) Sentence #513 from 00101876 from sent12

Text  : Te , które nadal chroboczą zanurzamy w pojemniczku z denaturatem i_ mocno nim potrząsamy ._
Tokens: 1_ 2 3____ 4____ 5________ 6________ 7 8__________ 9 10_________ 11 12___ 13_ 14________ 15

Chunks:

(ChunkerEvaluator) Sentence #514 from 00101876 from sent13

Text  : Następnie możemy zostawić je w denaturacie na kilka minut ._
Tokens: 1________ 2_____ 3_______ 4_ 5 6__________ 7_ 8____ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #515 from 00101876 from sent14

Text  : Jeśli mamy taką możliwośc , nie zaszkodzi jeśli pomoczą sie nawet kilka godzin ._
Tokens: 1____ 2___ 3___ 4________ 5 6__ 7________ 8____ 9______ 10_ 11___ 12___ 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #516 from 00101876 from sent15

Text  : Przed wyjęciem łożysk ponownie wstrząsamy energicznie pojemnikiem - powinni śmy zobaczyć grudki brudu wypłukane z_ łożysk ._
Tokens: 1____ 2_______ 3_____ 4_______ 5_________ 6__________ 7__________ 8 9______ 10_ 11______ 12____ 13___ 14_______ 15 16____ 17

Chunks:

(ChunkerEvaluator) Sentence #517 from 00101876 from sent16

Text  : 5 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #518 from 00101876 from sent17

Text  : Czyścimy osłonki wacikiem higienicznym zanurzonym w denaturacie .
Tokens: 1_______ 2______ 3_______ 4___________ 5_________ 6 7__________ 8

Chunks:

(ChunkerEvaluator) Sentence #519 from 00101876 from sent18

Text  : 6 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #520 from 00101876 from sent19

Text  : Wpuszczamy do łożysk po kropelce oleju , może to być olej do maszyn do szycia ._
Tokens: 1_________ 2_ 3_____ 4_ 5_______ 6____ 7 8___ 9_ 10_ 11__ 12 13____ 14 15____ 16

Chunks:

(ChunkerEvaluator) Sentence #521 from 00101876 from sent20

Text  : 7 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #522 from 00101876 from sent21

Text  : Zakładamy osłonki i przytrzymujące je pierscienie .
Tokens: 1________ 2______ 3 4_____________ 5_ 6__________ 7

Chunks:

(ChunkerEvaluator) Sentence #523 from 00101876 from sent22

Text  : 8 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #524 from 00101876 from sent23

Text  : Odkładamy łożyska na chwilę , aby pozbyć się nadmiaru oleju ._
Tokens: 1________ 2______ 3_ 4_____ 5 6__ 7_____ 8__ 9_______ 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #525 from 00101876 from sent24

Text  : 9 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #526 from 00101876 from sent25

Text  : Po raz kolejny sprawdzamy łożyska .
Tokens: 1_ 2__ 3______ 4_________ 5______ 6

Chunks:

(ChunkerEvaluator) Sentence #527 from 00101876 from sent26

Text  : Te , które po wszystkich powyższych zabiegach nadal nie obracają się gładko ,_ trzeba zastąpić nowymi ._
Tokens: 1_ 2 3____ 4_ 5_________ 6_________ 7________ 8____ 9__ 10______ 11_ 12____ 13 14____ 15______ 16____ 17

Chunks:

2017-06-14 20:31:36,938 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 30 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101909.xml
(ChunkerEvaluator) Sentence #528 from 00101909 from sent1

Text  : Czynności wykonywane w fazie pielęgnacji systemu informatycznego
Tokens: 1________ 2_________ 3 4____ 5__________ 6______ 7______________

Chunks:

(ChunkerEvaluator) Sentence #529 from 00101909 from sent2

Text  : Pielęgnacja systemu informatycznego polega na wprowadzeniu modyfikacji jego właściwości użytkowych ._
Tokens: 1__________ 2______ 3______________ 4_____ 5_ 6___________ 7__________ 8___ 9__________ 10________ 11

Chunks:

(ChunkerEvaluator) Sentence #530 from 00101909 from sent3

Text  : Wyróżnia się trzy rodzaje wprowadzanych modyfikacji :
Tokens: 1_______ 2__ 3___ 4______ 5____________ 6__________ 7

Chunks:

(ChunkerEvaluator) Sentence #531 from 00101909 from sent4

Text  : modyfikacje ulepszające : polegają na poprawie jakości oprogramowania ; modyfikacje poprawiające :_ polegają na usuwaniu z_ oprogramowania błędów popełnionych w_ fazach określania wymagań ,_ analizy ,_ projektowania i_ implementacji ;_ modyfikacje dostosowujące :_ polegają na dostosowaniu oprogramowania do zmian zachodzących w_ wymaganiach użytkownika lub w_ środowisku komputerowym ._
Tokens: 1__________ 2__________ 3 4_______ 5_ 6_______ 7______ 8_____________ 9 10_________ 11__________ 12 13______ 14 15______ 16 17____________ 18____ 19__________ 20 21____ 22________ 23_____ 24 25_____ 26 27___________ 28 29___________ 30 31_________ 32___________ 33 34______ 35 36__________ 37____________ 38 39___ 40__________ 41 42_________ 43_________ 44_ 45 46________ 47__________ 48

Chunks:

2017-06-14 20:31:36,958 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 31 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101932.xml
(ChunkerEvaluator) Sentence #532 from 00101932 from sent1

Text  : a ) 88 % całkowitej liczby uprawnień , które mają być sprzedane na aukcji ,_ rozdzielonych między państwa członkowskie w_ proporcjach odpowiadających udziałowi danego państwa członkowskiego w_ zweryfikowanych emisjach w_ ramach systemu wspólnotowego za rok 2005 lub w_ średnich emisjach w_ latach 2005 –_ 2007 ,_ w_ zależności od tego ,_ która z_ tych wielkości jest większa ;_
Tokens: 1 2 3_ 4 5_________ 6_____ 7________ 8 9____ 10__ 11_ 12_______ 13 14____ 15 16___________ 17____ 18_____ 19__________ 20 21_________ 22_____________ 23_______ 24____ 25_____ 26____________ 27 28_____________ 29______ 30 31____ 32_____ 33___________ 34 35_ 36__ 37_ 38 39______ 40______ 41 42____ 43__ 44 45__ 46 47 48________ 49 50__ 51 52___ 53 54__ 55_______ 56__ 57_____ 58

Chunks:

(ChunkerEvaluator) Sentence #533 from 00101932 from sent2

Text  : b ) 10 % całkowitej liczby uprawnień , które mają być sprzedane na aukcji ,_ rozdzielonych między określone państwa członkowskie w_ interesie solidarności i_ wzrostu we Wspólnocie ,_ zwiększając w_ ten sposób liczbę uprawnień ,_ które te państwa członkowskie sprzedają na aukcji na mocy lit ._ a_ )_ ,_ o_ wartości procentowe określone w_ załączniku IIa ;_ oraz
Tokens: 1 2 3_ 4 5_________ 6_____ 7________ 8 9____ 10__ 11_ 12_______ 13 14____ 15 16___________ 17____ 18_______ 19_____ 20__________ 21 22_______ 23__________ 24 25_____ 26 27________ 28 29_________ 30 31_ 32____ 33____ 34_______ 35 36___ 37 38_____ 39__________ 40_______ 41 42____ 43 44__ 45_ 46 47 48 49 50 51______ 52________ 53_______ 54 55________ 56_ 57 58__

Chunks:
  FalsePositive nam [27,27] = Wspólnocie (confidence=0.88) (incorrect boundry)
  FalsePositive nam [56,56] = IIa (confidence=0.93) (incorrect boundry)

(ChunkerEvaluator) Sentence #534 from 00101932 from sent3

Text  : c ) 2 % całkowitej ilości uprawnień , które mają być sprzedane na aukcji ,_ rozdzielonych między państwa członkowskie ,_ których emisje gazów cieplarnianych w_ 2005 r_ ._ były przynajmniej 20 %_ niższe od ich emisji w_ roku bazowym mającym w_ odniesieniu do nich zastosowanie na mocy protokołu z_ Kioto ._
Tokens: 1 2 3 4 5_________ 6_____ 7________ 8 9____ 10__ 11_ 12_______ 13 14____ 15 16___________ 17____ 18_____ 19__________ 20 21_____ 22____ 23___ 24____________ 25 26__ 27 28 29__ 30__________ 31 32 33____ 34 35_ 36____ 37 38__ 39_____ 40_____ 41 42_________ 43 44__ 45__________ 46 47__ 48_______ 49 50___ 51

Chunks:
  FalsePositive nam [50,50] = Kioto (confidence=1.00) (incorrect boundry)
  FalseNegative nam [48,50] = protokołu z Kioto

(ChunkerEvaluator) Sentence #535 from 00101932 from sent4

Text  : Sposób rozdzielania tej wartości procentowej pomiędzy danymi państwami członkowskimi określony jest w_ załączniku IIb ._
Tokens: 1_____ 2___________ 3__ 4_______ 5__________ 6_______ 7_____ 8________ 9____________ 10_______ 11__ 12 13________ 14_ 15

Chunks:
  FalsePositive nam [14,14] = IIb (confidence=0.98) (incorrect boundry)

(ChunkerEvaluator) Sentence #536 from 00101932 from sent5

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #537 from 00101932 from sent6

Text  : Na użytek lit . a ) , w odniesieniu do państw członkowskich ,_ które nie uczestniczyły w_ systemie wspólnotowym w_ 2005 r_ ._ ,_ ich udziały są obliczane przy wykorzystaniu ich zweryfikowanych emisji w_ ramach systemu wspólnotowego w_ roku 2007 ._
Tokens: 1_ 2_____ 3__ 4 5 6 7 8 9__________ 10 11____ 12___________ 13 14___ 15_ 16___________ 17 18______ 19__________ 20 21__ 22 23 24 25_ 26_____ 27 28_______ 29__ 30___________ 31_ 32_____________ 33____ 34 35____ 36_____ 37___________ 38 39__ 40__ 41

Chunks:

(ChunkerEvaluator) Sentence #538 from 00101932 from sent7

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #539 from 00101932 from sent8

Text  : Jeśli jest to konieczne , wartości procentowe , o których mowa w_ lit ._ b_ )_ i_ c_ )_ ,_ są proporcjonalnie dostosowywane ,_ tak aby zapewnić rozdzielenie w_ wysokości odpowiednio 10 %_ i_ 2_ %_ ._
Tokens: 1____ 2___ 3_ 4________ 5 6_______ 7_________ 8 9 10_____ 11__ 12 13_ 14 15 16 17 18 19 20 21 22_____________ 23___________ 24 25_ 26_ 27______ 28__________ 29 30_______ 31_________ 32 33 34 35 36 37

Chunks:

(ChunkerEvaluator) Sentence #540 from 00101932 from sent9

Text  : 3 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #541 from 00101932 from sent10

Text  : Państwa członkowskie określają sposób wykorzystywania dochodów uzyskanych ze sprzedaży uprawnień na aukcji ._
Tokens: 1______ 2___________ 3________ 4_____ 5______________ 6_______ 7_________ 8_ 9________ 10_______ 11 12____ 13

Chunks:

(ChunkerEvaluator) Sentence #542 from 00101932 from sent11

Text  : Przynajmniej 50 % dochodów uzyskanych ze sprzedaży na aukcji uprawnień ,_ o_ których mowa w_ ust ._ 2_ ,_ w_ tym wszystkie dochody ze sprzedaży na aukcji uprawnień ,_ o_ których mowa w_ ust ._ 2_ lit ._ b_ )_ i_ c_ )_ ,_ lub równowartość finansowa tych dochodów ,_ powinny zostać wykorzystane na jeden lub większą ilość następujących celów :_
Tokens: 1___________ 2_ 3 4_______ 5_________ 6_ 7________ 8_ 9_____ 10_______ 11 12 13_____ 14__ 15 16_ 17 18 19 20 21_ 22_______ 23_____ 24 25_______ 26 27____ 28_______ 29 30 31_____ 32__ 33 34_ 35 36 37_ 38 39 40 41 42 43 44 45_ 46__________ 47_______ 48__ 49______ 50 51_____ 52____ 53__________ 54 55___ 56_ 57_____ 58___ 59___________ 60___ 61

Chunks:

(ChunkerEvaluator) Sentence #543 from 00101932 from sent12

Text  : a ) redukcja emisji gazów cieplarnianych , w tym przez wkład na rzecz Globalnego Funduszu Efektywności Energetycznej oraz Energii Odnawialnej oraz na rzecz Funduszu Adaptacyjnego wprowadzonego w_ życie na konferencji w_ sprawie zmian klimatu w_ Poznaniu (_ COP 14 i_ COP /_ MOP 4_ )_ ,_ adaptacja do skutków zmian klimatu oraz finansowanie prac badawczo -_ rozwojowych oraz projektów demonstracyjnych w_ zakresie zmniejszania emisji i_ adaptacji do zmian klimatu ,_ w_ tym udział w_ inicjatywach realizowanych w_ ramach europejskiego strategicznego planu w_ dziedzinie technologii energetycznych i_ Europejskich Platform Technologicznych ;_
Tokens: 1 2 3_______ 4_____ 5____ 6_____________ 7 8 9__ 10___ 11___ 12 13___ 14________ 15______ 16__________ 17___________ 18__ 19_____ 20_________ 21__ 22 23___ 24______ 25___________ 26___________ 27 28___ 29 30_________ 31 32_____ 33___ 34_____ 35 36______ 37 38_ 39 40 41_ 42 43_ 44 45 46 47_______ 48 49_____ 50___ 51_____ 52__ 53__________ 54__ 55______ 56 57_________ 58__ 59_______ 60______________ 61 62______ 63__________ 64____ 65 66_______ 67 68___ 69_____ 70 71 72_ 73____ 74 75__________ 76___________ 77 78____ 79___________ 80____________ 81___ 82 83________ 84_________ 85____________ 86 87__________ 88______ 89______________ 90

Chunks:
  TruePositive nam [24,25] = Funduszu Adaptacyjnego (confidence=1.00)
  TruePositive nam [36,36] = Poznaniu (confidence=1.00)
  TruePositive nam [41,44] = COP / MOP 4 (confidence=0.97)
  FalsePositive nam [14,17] = Globalnego Funduszu Efektywności Energetycznej (confidence=1.00) (incorrect boundry)
  FalsePositive nam [19,20] = Energii Odnawialnej (confidence=1.00) (incorrect boundry)
  FalsePositive nam [38,38] = COP (confidence=1.00) (incorrect boundry)
  FalsePositive nam [87,89] = Europejskich Platform Technologicznych (confidence=0.97) (incorrect boundry)
  FalseNegative nam [14,20] = Globalnego Funduszu Efektywności Energetycznej oraz Energii Odnawialnej
  FalseNegative nam [38,39] = COP 14
  FalseNegative nam [79,85] = europejskiego strategicznego planu w dziedzinie technologii energetycznych

2017-06-14 20:31:37,074 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 32 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101948.xml
(ChunkerEvaluator) Sentence #544 from 00101948 from sent1

Text  : Dziennik Ustaw z 25 czerwca 2002 Nr 84 poz ._ 763
Tokens: 1_______ 2____ 3 4_ 5______ 6___ 7_ 8_ 9__ 10 11_

Chunks:
  TruePositive nam [1,2] = Dziennik Ustaw (confidence=0.99)

(ChunkerEvaluator) Sentence #545 from 00101948 from sent2

Text  : WYROK TRYBUNAŁU KONSTYTUCYJNEGO z dnia 11 czerwca 2002 r ._ sygn ._ akt SK ._ 5_ /_ 02 ._
Tokens: 1____ 2________ 3______________ 4 5___ 6_ 7______ 8___ 9 10 11__ 12 13_ 14 15 16 17 18 19

Chunks:
  TruePositive nam [2,3] = TRYBUNAŁU KONSTYTUCYJNEGO (confidence=0.94)

(ChunkerEvaluator) Sentence #546 from 00101948 from sent3

Text  : Trybunał Konstytucyjny w składzie : Marek Mazurkiewicz - przewodniczący ,_ Marian Grzybowski ,_ Janusz Niemcewicz ,_ Jadwiga Skórzewska -_ Łosiak -_ sprawozdawca ,_ Jerzy Stępień ,_ protokolant :_ Grażyna Szałygo ,_
Tokens: 1_______ 2____________ 3 4_______ 5 6____ 7___________ 8 9_____________ 10 11____ 12________ 13 14____ 15________ 16 17_____ 18________ 19 20____ 21 22__________ 23 24___ 25_____ 26 27_________ 28 29_____ 30_____ 31

Chunks:
  TruePositive nam [1,2] = Trybunał Konstytucyjny (confidence=0.97)
  TruePositive nam [6,7] = Marek Mazurkiewicz (confidence=1.00)
  TruePositive nam [11,12] = Marian Grzybowski (confidence=1.00)
  TruePositive nam [14,15] = Janusz Niemcewicz (confidence=1.00)
  TruePositive nam [17,20] = Jadwiga Skórzewska - Łosiak (confidence=1.00)
  TruePositive nam [24,25] = Jerzy Stępień (confidence=1.00)
  TruePositive nam [29,30] = Grażyna Szałygo (confidence=1.00)

(ChunkerEvaluator) Sentence #547 from 00101948 from sent4

Text  : po rozpoznaniu z udziałem skarżącego , Prokuratora Generalnego i Ministra Zdrowia ,_ na rozprawie w_ dniu 11 czerwca 2002 r_ ._ ,_ skargi konstytucyjnej Zbysława Kleczewskiego o_ zbadanie zgodności :_
Tokens: 1_ 2__________ 3 4_______ 5_________ 6 7__________ 8__________ 9 10______ 11_____ 12 13 14_______ 15 16__ 17 18_____ 19__ 20 21 22 23____ 24____________ 25______ 26___________ 27 28______ 29_______ 30

Chunks:
  TruePositive nam [7,8] = Prokuratora Generalnego (confidence=1.00)
  TruePositive nam [10,11] = Ministra Zdrowia (confidence=1.00)
  TruePositive nam [25,26] = Zbysława Kleczewskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #548 from 00101948 from sent5

Text  : 1 ) art . 40 ust . 3b ustawy z_ dnia 26 października 1982 r_ ._ o_ wychowaniu w_ trzeźwości i_ przeciwdziałaniu alkoholizmowi (_ Dz ._ U_ ._ Nr 35 ,_ poz ._ 230 z_ późn ._ zm ._ )_ z_ art ._ 45 ust ._ 1_ ,_ art ._ 78 i_ art ._ 176 ust ._ 1_ Konstytucji ,_
Tokens: 1 2 3__ 4 5_ 6__ 7 8_ 9_____ 10 11__ 12 13__________ 14__ 15 16 17 18________ 19 20________ 21 22______________ 23___________ 24 25 26 27 28 29 30 31 32_ 33 34_ 35 36__ 37 38 39 40 41 42_ 43 44 45_ 46 47 48 49_ 50 51 52 53_ 54 55_ 56_ 57 58 59_________ 60

Chunks:
  TruePositive nam [25,28] = Dz . U . (confidence=1.00)
  FalseNegative nam [9,23] = ustawy z dnia 26 października 1982 r . o wychowaniu w trzeźwości i przeciwdziałaniu alkoholizmowi

(ChunkerEvaluator) Sentence #549 from 00101948 from sent6

Text  : 2 ) rozporządzenia Ministra Zdrowia i Opieki Społecznej z dnia 6_ maja 1983 r_ ._ w_ sprawie warunków i_ sposobu dokonywania badań na zawartość alkoholu w_ organizmie (_ Dz ._ U_ ._ Nr 25 ,_ poz ._ 117 )_ z_ art ._ 92 Konstytucji oraz §_ 3_ ust ._ 3_ wymienionego rozporządzenia z_ art ._ 31 ust ._ 3_ w_ związku z_ art ._ 42 ust ._ 2_ oraz z_ art ._ 32 Konstytucji ,_
Tokens: 1 2 3_____________ 4_______ 5______ 6 7_____ 8_________ 9 10__ 11 12__ 13__ 14 15 16 17_____ 18______ 19 20_____ 21_________ 22___ 23 24_______ 25______ 26 27________ 28 29 30 31 32 33 34 35 36_ 37 38_ 39 40 41_ 42 43 44_________ 45__ 46 47 48_ 49 50 51__________ 52____________ 53 54_ 55 56 57_ 58 59 60 61_____ 62 63_ 64 65 66_ 67 68 69__ 70 71_ 72 73 74_________ 75

Chunks:
  TruePositive nam [29,32] = Dz . U . (confidence=1.00)
  FalsePositive nam [4,8] = Ministra Zdrowia i Opieki Społecznej (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,27] = rozporządzenia Ministra Zdrowia i Opieki Społecznej z dnia 6 maja 1983 r . w sprawie warunków i sposobu dokonywania badań na zawartość alkoholu w organizmie

(ChunkerEvaluator) Sentence #550 from 00101948 from sent7

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #551 from 00101948 from sent8

Text  : Art . 40 ust . 3b ustawy z dnia 26 października 1982 r_ ._ o_ wychowaniu w_ trzeźwości i_ przeciwdziałaniu alkoholizmowi (_ Dz ._ U_ ._ Nr 35 ,_ poz ._ 230 ,_ z_ 1984 r_ ._ Nr 34 ,_ poz ._ 184 ,_ z_ 1987 r_ ._ Nr 33 ,_ poz ._ 180 ,_ z_ 1989 r_ ._ Nr 35 ,_ poz ._ 192 ,_ z_ 1990 r_ ._ Nr 34 ,_ poz ._ 198 i_ Nr 73 ,_ poz ._ 431 ,_ z_ 1991 r_ ._ Nr 73 ,_ poz ._ 321 i_ Nr 94 ,_ poz .__ 419 ,__ z__ 1993 r__ .__ Nr_ 40_ ,__ poz .__ 184 ,__ z__ 1996 r__ .__ Nr_ 127 ,__ poz .__ 593 ,__ z__ 1997 r__ .__ Nr_ 88_ ,__ poz .__ 554 ,__ Nr_ 113 ,__ poz .__ 732 i__ Nr_ 121 ,__ poz .__ 770 ,__ z__ 1998 r__ .__ Nr_ 106 ,__ poz .__ 668 ,__ z__ 2000 r__ .__ Nr_ 12_ ,__ poz .__ 136 i__ Nr_ 120 ,__ poz .__ 1268 oraz z__ 2001 r__ .__ Nr_ 60_ ,__ poz .__ 610 ,__ Nr_ 123 ,__ poz .__ 1353 ,__ Nr_ 125 ,__ poz .__ 1368 i__ Nr_ 131 ,__ poz .__ 1478 )__ w__ zakresie ,__ w__ jakim nie gwarantuje osobie zatrzymanej w__ izbie wytrzeźwień prawa do_ udziału w__ posiedzeniu sądu ,__ na_ którym rozpatrywane jest zażalenie w__ sprawie zasadności i__ legalności doprowadzenia do_ izby ,__ jak również decyzji o__ zatrzymaniu oraz prawidłowości ich wykonania ,__ jest niezgodny z__ art .__ 45_ ust .__ 1__ Konstytucji Rzeczypospolitej Polskiej przez to_ ,__ że_ narusza zasady sprawiedliwej procedury sądowej .__
Tokens: 1__ 2 3_ 4__ 5 6_ 7_____ 8 9___ 10 11__________ 12__ 13 14 15 16________ 17 18________ 19 20______________ 21___________ 22 23 24 25 26 27 28 29 30_ 31 32_ 33 34 35__ 36 37 38 39 40 41_ 42 43_ 44 45 46__ 47 48 49 50 51 52_ 53 54_ 55 56 57__ 58 59 60 61 62 63_ 64 65_ 66 67 68__ 69 70 71 72 73 74_ 75 76_ 77 78 79 80 81_ 82 83_ 84 85 86__ 87 88 89 90 91 92_ 93 94_ 95 96 97 98 99_ 100 101 102 103 104_ 105 106 107 108 109 110 111 112 113 114 115_ 116 117 118 119 120 121 122 123 124 125 126_ 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151_ 152 153 154 155 156 157 158 159 160 161 162_ 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177_ 178_ 179 180_ 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195_ 196 197 198 199 200 201 202_ 203 204 205 206 207 208 209_ 210 211 212_____ 213 214 215__ 216 217_______ 218___ 219________ 220 221__ 222________ 223__ 224 225____ 226 227________ 228_ 229 230 231___ 232_________ 233_ 234______ 235 236____ 237_______ 238 239_______ 240__________ 241 242_ 243 244 245____ 246____ 247 248________ 249_ 250__________ 251 252______ 253 254_ 255______ 256 257 258 259 260 261 262 263________ 264_____________ 265_____ 266__ 267 268 269 270____ 271___ 272__________ 273______ 274____ 275

Chunks:
  TruePositive nam [23,26] = Dz . U . (confidence=1.00)
  TruePositive nam [263,265] = Konstytucji Rzeczypospolitej Polskiej (confidence=0.84)
  FalseNegative nam [7,21] = ustawy z dnia 26 października 1982 r . o wychowaniu w trzeźwości i przeciwdziałaniu alkoholizmowi

2017-06-14 20:31:37,244 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 33 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101951.xml
(ChunkerEvaluator) Sentence #552 from 00101951 from sent1

Text  : a ) art . 2 Konstytucji , albowiem narusza zasadę zaufania obywateli do państwa i_ stanowionego prawa ,_ gdyż Kodeks spółek handlowych nie ogranicza stosowania zaskarżonych przepisów do akcjonariuszy ,_ którzy nabyli akcje (_ w_ tym akcjonariuszy -_ pracowników prywatyzowanych przedsiębiorstw )_ przed jej wejściem w_ życie -_ drogą odpowiednich przepisów przejściowych ,_
Tokens: 1 2 3__ 4 5 6__________ 7 8_______ 9______ 10____ 11______ 12_______ 13 14_____ 15 16__________ 17___ 18 19__ 20____ 21____ 22________ 23_ 24_______ 25________ 26__________ 27_______ 28 29___________ 30 31____ 32____ 33___ 34 35 36_ 37___________ 38 39_________ 40_____________ 41_____________ 42 43___ 44_ 45______ 46 47___ 48 49___ 50__________ 51_______ 52___________ 53

Chunks:
  FalsePositive nam [20,20] = Kodeks (confidence=0.86) (incorrect boundry)
  FalseNegative nam [20,22] = Kodeks spółek handlowych

(ChunkerEvaluator) Sentence #553 from 00101951 from sent2

Text  : b ) art . 45 ust . 1 Konstytucji ,_ narusza bowiem prawo do sprawiedliwego i_ jawnego rozpatrzenia sprawy przez sąd ,_ rozumiane jako prawo do merytorycznego rozpoznania sprawy i_ wydania rozstrzygającego orzeczenia ,_
Tokens: 1 2 3__ 4 5_ 6__ 7 8 9__________ 10 11_____ 12____ 13___ 14 15____________ 16 17_____ 18__________ 19____ 20___ 21_ 22 23_______ 24__ 25___ 26 27____________ 28_________ 29____ 30 31_____ 32______________ 33________ 34

Chunks:

(ChunkerEvaluator) Sentence #554 from 00101951 from sent3

Text  : c ) art . 64 ust . 1 , 2_ i_ 3_ w_ związku z_ art ._ 31 ust ._ 3_ Konstytucji ,_ albowiem narusza prawo do własności i_ innych praw majątkowych akcjonariuszy ,_ których akcje są przymusowo wykupywane ,_ w_ ten sposób ,_ że zaskarżone przepisy nie stanowią przesłanek materialno -_ prawnych warunkujących podjęcie uchwały o_ przymusowym wykupie akcji posiadanych przez akcjonariuszy mniejszościowych i_ nie wymaga nawet uzasadnienia takiej uchwały ,_
Tokens: 1 2 3__ 4 5_ 6__ 7 8 9 10 11 12 13 14_____ 15 16_ 17 18 19_ 20 21 22_________ 23 24______ 25_____ 26___ 27 28_______ 29 30____ 31__ 32_________ 33___________ 34 35_____ 36___ 37 38________ 39________ 40 41 42_ 43____ 44 45 46________ 47______ 48_ 49______ 50________ 51________ 52 53______ 54___________ 55______ 56_____ 57 58_________ 59_____ 60___ 61_________ 62___ 63___________ 64______________ 65 66_ 67____ 68___ 69__________ 70____ 71_____ 72

Chunks:

(ChunkerEvaluator) Sentence #555 from 00101951 from sent4

Text  : d ) art . 176 ust . 1 Konstytucji ,_ albowiem nie przewiduje prawa do złożenia środka zaskarżenia od orzeczenia sądu rejestrowego ,_ dotyczącego wyceny wykupywanych przymusowo akcji ,_
Tokens: 1 2 3__ 4 5__ 6__ 7 8 9__________ 10 11______ 12_ 13________ 14___ 15 16______ 17____ 18_________ 19 20________ 21__ 22__________ 23 24_________ 25____ 26__________ 27________ 28___ 29

Chunks:

(ChunkerEvaluator) Sentence #556 from 00101951 from sent5

Text  : 3 ) pytania prawnego Sądu Okręgowego w Poznaniu o zbadanie zgodności art ._ 418 ustawy z_ dnia 15 września 2000 r_ ._
Tokens: 1 2 3______ 4_______ 5___ 6_________ 7 8_______ 9 10______ 11_______ 12_ 13 14_ 15____ 16 17__ 18 19______ 20__ 21 22

Chunks:
  TruePositive nam [5,6] = Sądu Okręgowego (confidence=0.99)
  TruePositive nam [8,8] = Poznaniu (confidence=1.00)

(ChunkerEvaluator) Sentence #557 from 00101951 from sent6

Text  : - Kodeks spółek handlowych ( Dz . U . Nr 94 ,_ poz ._ 1037 ,_ ze zm ._ )_ z_ art ._ 2_ ,_ art ._ 21 ust ._ 2_ ,_ art ._ 64 ust ._ 2_ i_ art ._ 64 ust ._ 3_ w_ związku z_ art ._ 31 ust ._ 3_ oraz art ._ 45 ust ._ 1_ Konstytucji ,_
Tokens: 1 2_____ 3_____ 4_________ 5 6_ 7 8 9 10 11 12 13_ 14 15__ 16 17 18 19 20 21 22_ 23 24 25 26_ 27 28 29_ 30 31 32 33_ 34 35 36_ 37 38 39 40_ 41 42 43_ 44 45 46 47_____ 48 49_ 50 51 52_ 53 54 55__ 56_ 57 58 59_ 60 61 62_________ 63

Chunks:
  TruePositive nam [2,4] = Kodeks spółek handlowych (confidence=0.96)
  TruePositive nam [6,9] = Dz . U . (confidence=1.00)

(ChunkerEvaluator) Sentence #558 from 00101951 from sent7

Text  : 1 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #559 from 00101951 from sent8

Text  : Art . 418 § 1 ustawy z dnia 15 września 2000 r_ ._
Tokens: 1__ 2 3__ 4 5 6_____ 7 8___ 9_ 10______ 11__ 12 13

Chunks:

(ChunkerEvaluator) Sentence #560 from 00101951 from sent9

Text  : - Kodeks spółek handlowych ( Dz . U . Nr 94 ,_ poz ._ 1037 )_ rozumiany jako niewyłączający prawa akcjonariusza pokrzywdzonego przymusowym wykupem akcji do zaskarżenia uchwały o_ tym wykupie jest zgodny z_ art ._ 2_ ,_ art ._ 31 ust ._ 3_ ,_ art ._ 45 ust ._ 1_ ,_ art ._ 64 w_ związku z_ art ._ 31 ust ._ 3_ i_ z_ art ._ 176 ust ._ 1_ oraz nie jest niezgodny z_ art ._ 21 ust ._ 2_ Konstytucji Rzeczypospolitej Polskiej ._
Tokens: 1 2_____ 3_____ 4_________ 5 6_ 7 8 9 10 11 12 13_ 14 15__ 16 17_______ 18__ 19____________ 20___ 21___________ 22____________ 23_________ 24_____ 25___ 26 27_________ 28_____ 29 30_ 31_____ 32__ 33____ 34 35_ 36 37 38 39_ 40 41 42_ 43 44 45 46_ 47 48 49_ 50 51 52 53_ 54 55 56 57_____ 58 59_ 60 61 62_ 63 64 65 66 67_ 68 69_ 70_ 71 72 73__ 74_ 75__ 76_______ 77 78_ 79 80 81_ 82 83 84_________ 85______________ 86______ 87

Chunks:
  TruePositive nam [2,4] = Kodeks spółek handlowych (confidence=0.96)
  TruePositive nam [6,9] = Dz . U . (confidence=1.00)
  TruePositive nam [84,86] = Konstytucji Rzeczypospolitej Polskiej (confidence=0.97)

2017-06-14 20:31:37,527 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 34 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102018.xml
(ChunkerEvaluator) Sentence #561 from 00102018 from sent1

Text  : Rada Nadzorcza Polskiego Radia przywróciła Jerzego Targalskiego w prawach członka zarządu ._
Tokens: 1___ 2________ 3________ 4____ 5__________ 6______ 7___________ 8 9______ 10_____ 11_____ 12

Chunks:
  TruePositive nam [1,4] = Rada Nadzorcza Polskiego Radia (confidence=1.00)
  TruePositive nam [6,7] = Jerzego Targalskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #562 from 00102018 from sent2

Text  : Był on zawieszony od 21 kwietnia w związku z oskarżeniami o_ obraźliwe wypowiedzi pod adresem zwalnianych pracowników radia ._
Tokens: 1__ 2_ 3_________ 4_ 5_ 6_______ 7 8______ 9 10__________ 11 12_______ 13________ 14_ 15_____ 16_________ 17_________ 18___ 19

Chunks:

(ChunkerEvaluator) Sentence #563 from 00102018 from sent3

Text  : Rada przywróciła Targalskiego uwzględniając dotychczasowy wkład jego pracy i mając na uwadze sprawność działań zarządu spółki -_ głosi komunikat rzecznika Polskiego Radia ._
Tokens: 1___ 2__________ 3___________ 4____________ 5____________ 6____ 7___ 8____ 9 10___ 11 12____ 13_______ 14_____ 15_____ 16____ 17 18___ 19_______ 20_______ 21_______ 22___ 23

Chunks:
  TruePositive nam [3,3] = Targalskiego (confidence=1.00)
  TruePositive nam [21,22] = Polskiego Radia (confidence=1.00)
  FalseNegative nam [1,1] = Rada

(ChunkerEvaluator) Sentence #564 from 00102018 from sent4

Text  : Sobotnia decyzja Rady Nadzorczej Polskiego Radia poprzedzona została kilkoma posiedzeniami ,_ podczas których Rada wysłuchała opinii szefów działających w_ Radiu związków zawodowych ,_ rozmawiała z_ samym Targalskim oraz kilkudziesięcioma pracownikami Radia m_ ._ in ._ Marią Szabłowską ,_ jej mężem Markiem Lipińskim ,_ Tadeuszem Sznukiem i_ Małgorzatą Słomkowską ._
Tokens: 1_______ 2______ 3___ 4_________ 5________ 6____ 7__________ 8______ 9______ 10___________ 11 12_____ 13_____ 14__ 15________ 16____ 17____ 18__________ 19 20___ 21______ 22________ 23 24________ 25 26___ 27________ 28__ 29_______________ 30__________ 31___ 32 33 34 35 36___ 37________ 38 39_ 40___ 41_____ 42_______ 43 44_______ 45______ 46 47________ 48________ 49

Chunks:
  TruePositive nam [3,6] = Rady Nadzorczej Polskiego Radia (confidence=1.00)
  TruePositive nam [14,14] = Rada (confidence=0.99)
  TruePositive nam [27,27] = Targalskim (confidence=1.00)
  TruePositive nam [36,37] = Marią Szabłowską (confidence=0.92)
  TruePositive nam [41,42] = Markiem Lipińskim (confidence=1.00)
  TruePositive nam [44,45] = Tadeuszem Sznukiem (confidence=1.00)
  TruePositive nam [47,48] = Małgorzatą Słomkowską (confidence=1.00)
  FalsePositive nam [20,20] = Radiu (confidence=0.92) (incorrect boundry)
  FalsePositive nam [31,31] = Radia (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #565 from 00102018 from sent5

Text  : Zapoznała się też z opinią badającej sprawę radiowej Komisji Etyki ._
Tokens: 1________ 2__ 3__ 4 5_____ 6________ 7_____ 8_______ 9______ 10___ 11

Chunks:
  TruePositive nam [9,10] = Komisji Etyki (confidence=0.99)

(ChunkerEvaluator) Sentence #566 from 00102018 from sent6

Text  : Jej radiowej Komisji Etyki Janina Jankowska nie chciała komentować decyzji o_ przywróceniu Targalskiego zanim nie zapozna się z_ jej szerszym uzasadnieniem ._
Tokens: 1__ 2_______ 3______ 4____ 5_____ 6________ 7__ 8______ 9_________ 10_____ 11 12__________ 13__________ 14___ 15_ 16_____ 17_ 18 19_ 20______ 21___________ 22

Chunks:
  TruePositive nam [3,4] = Komisji Etyki (confidence=0.94)
  TruePositive nam [5,6] = Janina Jankowska (confidence=0.91)
  TruePositive nam [13,13] = Targalskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #567 from 00102018 from sent7

Text  : Nie chciał jej komentować także sam Jerzy Targalski .
Tokens: 1__ 2_____ 3__ 4_________ 5____ 6__ 7____ 8________ 9

Chunks:
  TruePositive nam [7,8] = Jerzy Targalski (confidence=1.00)

(ChunkerEvaluator) Sentence #568 from 00102018 from sent8

Text  : Powiedział jedynie , że został „ zrehabilitowany ” i przywrócony w_ prawach członka zarządu ._
Tokens: 1_________ 2______ 3 4_ 5_____ 6 7______________ 8 9 10_________ 11 12_____ 13_____ 14_____ 15

Chunks:

(ChunkerEvaluator) Sentence #569 from 00102018 from sent9

Text  : Zdziwiona decyzją rady nadzorczej jest szefowa Rady Etyki Mediów Magdalena Bajer ._
Tokens: 1________ 2______ 3___ 4_________ 5___ 6______ 7___ 8____ 9_____ 10_______ 11___ 12

Chunks:
  FalsePositive nam [7,11] = Rady Etyki Mediów Magdalena Bajer (confidence=1.00) (incorrect boundry)
  FalseNegative nam [7,9] = Rady Etyki Mediów
  FalseNegative nam [10,11] = Magdalena Bajer

(ChunkerEvaluator) Sentence #570 from 00102018 from sent10

Text  : Postępowanie pana Targalskiego nawet jeżeli zostało wyolbrzymione w relacjach medialnych wskazuje na to ,_ że nie potrafi on współpracować z_ ludźmi -_ powiedziała ._
Tokens: 1___________ 2___ 3___________ 4____ 5_____ 6______ 7____________ 8 9________ 10________ 11______ 12 13 14 15 16_ 17_____ 18 19___________ 20 21____ 22 23_________ 24

Chunks:
  TruePositive nam [3,3] = Targalskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #571 from 00102018 from sent11

Text  : Zaznaczyła przy tym , że jest to jej prywatna opinia ,_ a_ nie całej REM ._
Tokens: 1_________ 2___ 3__ 4 5_ 6___ 7_ 8__ 9_______ 10____ 11 12 13_ 14___ 15_ 16

Chunks:
  TruePositive nam [15,15] = REM (confidence=0.99)

(ChunkerEvaluator) Sentence #572 from 00102018 from sent12

Text  : Mój komentarz : niczego innego się nie spodziewał em ._
Tokens: 1__ 2________ 3 4______ 5_____ 6__ 7__ 8_________ 9_ 10

Chunks:

(ChunkerEvaluator) Sentence #573 from 00102018 from sent13

Text  : Tak właśnie „ odzyskuje się ” media .
Tokens: 1__ 2______ 3 4________ 5__ 6 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #574 from 00102018 from sent14

Text  : Martwi mnie tylko to , że strasznie trudno będzie je za dwa lata ratować ,_ bo odpowiednich ludzi nie bedzie ;_ obawiam się ,_ że z_ konieczności sprawy pójdą zatem w_ kierunku prywatyzacji ,_ co by oznaczało –_ przynajmniej czasowo –_ w_ dużej mierze rezygnację z_ misji i_ ogólne ogłupienie ._
Tokens: 1_____ 2___ 3____ 4_ 5 6_ 7________ 8_____ 9_____ 10 11 12_ 13__ 14_____ 15 16 17__________ 18___ 19_ 20____ 21 22_____ 23_ 24 25 26 27__________ 28____ 29___ 30___ 31 32______ 33__________ 34 35 36 37_______ 38 39__________ 40_____ 41 42 43___ 44____ 45________ 46 47___ 48 49____ 50________ 51

Chunks:

(ChunkerEvaluator) Sentence #575 from 00102018 from sent15

Text  : Samo przyszłe przycięcie „ kualycjantów ” – już nie równo z_ trawą ,_ bo to za mało ,_ trzeba będzie ciąć poniżej korzeni –_ sprawy nie załatwi ._
Tokens: 1___ 2_______ 3_________ 4 5___________ 6 7 8__ 9__ 10___ 11 12___ 13 14 15 16 17__ 18 19____ 20____ 21__ 22_____ 23_____ 24 25____ 26_ 27_____ 28

Chunks:

(ChunkerEvaluator) Sentence #576 from 00102018 from sent16

Text  : Krótko mówiąc , szkody już są w wielu wypadkach nieodwracalne ._
Tokens: 1_____ 2_____ 3 4_____ 5__ 6_ 7 8____ 9________ 10___________ 11

Chunks:

(ChunkerEvaluator) Sentence #577 from 00102018 from sent17

Text  : Ukarać się za to towrzystwo ukarze , ale cóż ta kara ,_ kedy zupa wylana ?_
Tokens: 1_____ 2__ 3_ 4_ 5_________ 6_____ 7 8__ 9__ 10 11__ 12 13__ 14__ 15____ 16

Chunks:

2017-06-14 20:31:37,613 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 35 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102024.xml
(ChunkerEvaluator) Sentence #578 from 00102024 from sent1

Text  : P . S Autor niniejszego bloga urodził się dawno :_ w_ roku 1936 ,_ czyli jest mocno przedwojenny ._
Tokens: 1 2 3 4____ 5__________ 6____ 7______ 8__ 9____ 10 11 12__ 13__ 14 15___ 16__ 17___ 18__________ 19

Chunks:
  FalsePositive nam [1,4] = P . S Autor (confidence=0.65) (incorrect boundry)

(ChunkerEvaluator) Sentence #579 from 00102024 from sent2

Text  : Z wykształcenia jest matematykiem ; przez wiele lat wykonywał ten zawód jako nauczyciel akademicki w_ kilku wyższych uczelniach (_ w_ tym -_ co sobie ceni najwyżej -_ UW )_ ;_ był również pracownikiem PAN ,_ zaś przez pięć lat miał zaszczyt być także członkiem Komitetu Prognoz PAN "_ Polska 2000 Plus "_ ._
Tokens: 1 2____________ 3___ 4___________ 5 6____ 7____ 8__ 9________ 10_ 11___ 12__ 13________ 14________ 15 16___ 17______ 18________ 19 20 21_ 22 23 24___ 25__ 26______ 27 28 29 30 31_ 32_____ 33__________ 34_ 35 36_ 37___ 38__ 39_ 40__ 41______ 42_ 43___ 44_______ 45______ 46_____ 47_ 48 49____ 50__ 51__ 52 53

Chunks:
  TruePositive nam [28,28] = UW (confidence=0.65)
  TruePositive nam [34,34] = PAN (confidence=1.00)
  FalsePositive nam [45,47] = Komitetu Prognoz PAN (confidence=1.00) (incorrect boundry)
  FalsePositive nam [49,51] = Polska 2000 Plus (confidence=1.00) (incorrect boundry)
  FalseNegative nam [45,52] = Komitetu Prognoz PAN " Polska 2000 Plus "

(ChunkerEvaluator) Sentence #580 from 00102024 from sent3

Text  : Szczyci się tym , że wchodził w skład zespołu programistów pierwszej polskiej maszyny matematycznej XYZ ._
Tokens: 1______ 2__ 3__ 4 5_ 6_______ 7 8____ 9______ 10__________ 11_______ 12______ 13_____ 14___________ 15_ 16

Chunks:
  FalsePositive nam [15,15] = XYZ (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #581 from 00102024 from sent4

Text  : Od wielu lat zajmuje się zawodowo dziennikarstwem , szczególnie naukowym ._
Tokens: 1_ 2____ 3__ 4______ 5__ 6_______ 7______________ 8 9__________ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #582 from 00102024 from sent5

Text  : Od paru lat jest aktywnym zawodowo emerytem , związanym z_ grupą "_ Studia Opinii "_ ._
Tokens: 1_ 2___ 3__ 4___ 5_______ 6_______ 7_______ 8 9________ 10 11___ 12 13____ 14____ 15 16

Chunks:
  TruePositive nam [13,14] = Studia Opinii (confidence=0.99)

(ChunkerEvaluator) Sentence #583 from 00102024 from sent6

Text  : Ten blog jest odbiciem wyłącznie osobistych poglądów autora .
Tokens: 1__ 2___ 3___ 4_______ 5________ 6_________ 7_______ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #584 from 00102024 from sent7

Text  : Nie jest przez nikogo - ani przez żadną organizację czy instytucję -_ sterowany ._
Tokens: 1__ 2___ 3____ 4_____ 5 6__ 7____ 8____ 9__________ 10_ 11________ 12 13_______ 14

Chunks:

(ChunkerEvaluator) Sentence #585 from 00102024 from sent8

Text  : Autor - zwany także przez niektórych Gospodarzem , co sprawia mu dużą przyjemność -_ bardzo uprzejmie prosi ,_ by nie próbować przesadnie agresywnie komentować zamieszczanych tu tekstów ._
Tokens: 1____ 2 3____ 4____ 5____ 6_________ 7__________ 8 9_ 10_____ 11 12__ 13_________ 14 15____ 16_______ 17___ 18 19 20_ 21______ 22________ 23________ 24________ 25____________ 26 27_____ 28

Chunks:

(ChunkerEvaluator) Sentence #586 from 00102024 from sent9

Text  : W szczególności autor uprzejmie zawiadamia , że chamstwo , w_ tym użycie niektórych słów powszechnie uważanych za niestosowne ,_ i_ antysemityzm nie będą w_ tym miejscu tolerowane ,_ autorzy zaś takich wypowiedzi zostaną zablokowani ._
Tokens: 1 2____________ 3____ 4________ 5_________ 6 7_ 8_______ 9 10 11_ 12____ 13________ 14__ 15_________ 16_______ 17 18_________ 19 20 21__________ 22_ 23__ 24 25_ 26_____ 27________ 28 29_____ 30_ 31____ 32________ 33_____ 34_________ 35

Chunks:

(ChunkerEvaluator) Sentence #587 from 00102024 from sent10

Text  : Na wszelki wypadek odsyłane są do moderacji komentarze , których autorzy nie maja ani jednego komentarza uprzednio zaaprobowanego przez Autora blogu ._
Tokens: 1_ 2______ 3______ 4_______ 5_ 6_ 7________ 8_________ 9 10_____ 11_____ 12_ 13__ 14_ 15_____ 16________ 17_______ 18____________ 19___ 20____ 21___ 22

Chunks:

(ChunkerEvaluator) Sentence #588 from 00102024 from sent11

Text  : Autor przeprasza , ale uważa ten kawałek Internetu za własny i_ nie zezwala tu na intelektualne kibolstwo ._
Tokens: 1____ 2_________ 3 4__ 5____ 6__ 7______ 8________ 9_ 10____ 11 12_ 13_____ 14 15 16___________ 17_______ 18

Chunks:
  TruePositive nam [8,8] = Internetu (confidence=1.00)

(ChunkerEvaluator) Sentence #589 from 00102024 from sent12

Text  : Uwaga specjalna Autor uprzejmie prosi PT Komentatorów , by nie nazywali go megalomanem ,_ pyszałkiem ,_ besserwiserem ,_ złośliwym staruszkiem ,_ osobą całkowicie zdemoralizowaną ,_ kosmopolitą itp ._
Tokens: 1____ 2________ 3____ 4________ 5____ 6_ 7___________ 8 9_ 10_ 11______ 12 13_________ 14 15________ 16 17___________ 18 19_______ 20_________ 21 22___ 23________ 24_____________ 25 26_________ 27_ 28

Chunks:
  FalsePositive nam [6,7] = PT Komentatorów (confidence=0.75) (incorrect boundry)

(ChunkerEvaluator) Sentence #590 from 00102024 from sent13

Text  : Szkoda czasu i klawiatury : autor wie o tym wszystkim doskonale i_ zgadza się z_ tymi określeniami w_ pełni ._
Tokens: 1_____ 2____ 3 4_________ 5 6____ 7__ 8 9__ 10_______ 11_______ 12 13____ 14_ 15 16__ 17__________ 18 19___ 20

Chunks:

(ChunkerEvaluator) Sentence #591 from 00102024 from sent14

Text  : Dodaje również na wszelki wypadek chętnym do odkrywania tajemnic przeszłości ,_ iż jeden z_ jego dziadków był niemieckim bankierem ,_ drugi -_ polskim lewicowym terrorystą ,_ ojciec zaś -_ obywatelem USA ._
Tokens: 1_____ 2______ 3_ 4______ 5______ 6______ 7_ 8_________ 9_______ 10_________ 11 12 13___ 14 15__ 16______ 17_ 18________ 19_______ 20 21___ 22 23_____ 24_______ 25________ 26 27____ 28_ 29 30________ 31_ 32

Chunks:
  TruePositive nam [31,31] = USA (confidence=1.00)

(ChunkerEvaluator) Sentence #592 from 00102024 from sent15

Text  : Poza tym autor przyznaje bez tortur , że jest filosemitą ,_ rusofilem i_ germanofilem ._
Tokens: 1___ 2__ 3____ 4________ 5__ 6_____ 7 8_ 9___ 10________ 11 12_______ 13 14__________ 15

Chunks:

2017-06-14 20:31:37,701 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 36 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102064.xml
(ChunkerEvaluator) Sentence #593 from 00102064 from sent1

Text  : Były prezes i redaktor naczelny międzynarodowej agencji informacyjnej o profilu ekonomicznym Interfax Central Europe ,_ ekspert w_ dziedzinie informacji agencyjnych i_ funkcjonowania agencji informacyjnych ._
Tokens: 1___ 2_____ 3 4_______ 5_______ 6______________ 7______ 8____________ 9 10_____ 11__________ 12______ 13_____ 14____ 15 16_____ 17 18________ 19________ 20_________ 21 22____________ 23_____ 24____________ 25

Chunks:
  TruePositive nam [12,14] = Interfax Central Europe (confidence=0.98)

(ChunkerEvaluator) Sentence #594 from 00102064 from sent2

Text  : W latach 1998 - 2002 prezes zarządu i redaktor naczelny Polskiej Agencji Prasowej SA ,_ przedstawiciel PAP w_ Europejskim Stowarzyszeniu Agencji Prasowych (_ EANA )_ i_ członek rady nadzorczej Europejskiej Agencji Fotograficznej (_ EPA )_ ._
Tokens: 1 2_____ 3___ 4 5___ 6_____ 7______ 8 9_______ 10______ 11______ 12_____ 13______ 14 15 16____________ 17_ 18 19_________ 20____________ 21_____ 22_______ 23 24__ 25 26 27_____ 28__ 29________ 30__________ 31_____ 32____________ 33 34_ 35 36

Chunks:
  TruePositive nam [11,14] = Polskiej Agencji Prasowej SA (confidence=0.90)
  TruePositive nam [17,17] = PAP (confidence=1.00)
  TruePositive nam [19,22] = Europejskim Stowarzyszeniu Agencji Prasowych (confidence=1.00)
  TruePositive nam [24,24] = EANA (confidence=1.00)
  TruePositive nam [34,34] = EPA (confidence=0.99)
  FalsePositive nam [28,32] = rady nadzorczej Europejskiej Agencji Fotograficznej (confidence=0.53) (incorrect boundry)
  FalseNegative nam [30,32] = Europejskiej Agencji Fotograficznej

(ChunkerEvaluator) Sentence #595 from 00102064 from sent3

Text  : Wcześniej m . in . dziennikarz Reuters Polska , Polskiego Radia i_ BBC ._
Tokens: 1________ 2 3 4_ 5 6__________ 7______ 8_____ 9 10_______ 11___ 12 13_ 14

Chunks:
  TruePositive nam [7,8] = Reuters Polska (confidence=0.99)
  TruePositive nam [10,11] = Polskiego Radia (confidence=0.88)
  TruePositive nam [13,13] = BBC (confidence=0.96)

(ChunkerEvaluator) Sentence #596 from 00102064 from sent4

Text  : Na początku lat 90 - tych współorganizował prywatną agencję prasową SIS i_ SIS -_ Serwis ._
Tokens: 1_ 2_______ 3__ 4_ 5 6___ 7_______________ 8_______ 9______ 10_____ 11_ 12 13_ 14 15____ 16

Chunks:
  TruePositive nam [11,11] = SIS (confidence=0.96)
  TruePositive nam [13,15] = SIS - Serwis (confidence=1.00)

(ChunkerEvaluator) Sentence #597 from 00102064 from sent5

Text  : Urodziła się w Kalinkowiczach , na wschodniej Białorusi .
Tokens: 1_______ 2__ 3 4_____________ 5 6_ 7_________ 8________ 9

Chunks:
  TruePositive nam [4,4] = Kalinkowiczach (confidence=0.97)
  TruePositive nam [8,8] = Białorusi (confidence=1.00)

(ChunkerEvaluator) Sentence #598 from 00102064 from sent6

Text  : Z wykształcenia - filolog , od ukończenia studiów krótko pracowała w_ radiu państwowym w_ Mińsku (_ gdzie poznała wielu fajnych ludzi i_ znaczenie słowa cenzura )_ ._
Tokens: 1 2____________ 3 4______ 5 6_ 7_________ 8______ 9_____ 10_______ 11 12___ 13________ 14 15____ 16 17___ 18_____ 19___ 20_____ 21___ 22 23_______ 24___ 25_____ 26 27

Chunks:
  TruePositive nam [15,15] = Mińsku (confidence=1.00)

(ChunkerEvaluator) Sentence #599 from 00102064 from sent7

Text  : Potem od początku i do chwili zamknięcia - w jedynym białoruskojęzycznym prywatnym radiu w_ Mińsku -_ Radio 101 ,_ 2_ ,_ które zostało zamknięte przez władze w_ roku 1996 ._
Tokens: 1____ 2_ 3_______ 4 5_ 6_____ 7_________ 8 9 10_____ 11_________________ 12_______ 13___ 14 15____ 16 17___ 18_ 19 20 21 22___ 23_____ 24_______ 25___ 26____ 27 28__ 29__ 30

Chunks:
  TruePositive nam [15,15] = Mińsku (confidence=1.00)
  FalsePositive nam [17,17] = Radio (confidence=0.83) (incorrect boundry)
  FalseNegative nam [17,20] = Radio 101 , 2

(ChunkerEvaluator) Sentence #600 from 00102064 from sent8

Text  : Od roku 1997 mieszka w Polsce , gdzie założyła i_ jest prezesem Stowarzyszenia Instytut Kultury Białoruskiej -_ organizacji promującej kulturę Białorusi i_ zrzeszającej Białorusinów Warszawy ._
Tokens: 1_ 2___ 3___ 4______ 5 6_____ 7 8____ 9_______ 10 11__ 12______ 13____________ 14______ 15_____ 16__________ 17 18_________ 19________ 20_____ 21_______ 22 23__________ 24__________ 25______ 26

Chunks:
  TruePositive nam [6,6] = Polsce (confidence=1.00)
  TruePositive nam [13,16] = Stowarzyszenia Instytut Kultury Białoruskiej (confidence=0.97)
  TruePositive nam [21,21] = Białorusi (confidence=1.00)
  FalsePositive nam [24,25] = Białorusinów Warszawy (confidence=0.98) (incorrect boundry)
  FalseNegative nam [24,24] = Białorusinów
  FalseNegative nam [25,25] = Warszawy

(ChunkerEvaluator) Sentence #601 from 00102064 from sent9

Text  : Równolegle pracowała jako redaktor Radia Polonia w redakcji białoruskiej ._
Tokens: 1_________ 2________ 3___ 4_______ 5____ 6______ 7 8_______ 9___________ 10

Chunks:
  TruePositive nam [5,6] = Radia Polonia (confidence=1.00)

(ChunkerEvaluator) Sentence #602 from 00102064 from sent10

Text  : W latach 2006 - 2008 współtworzyła Europejskie Radio dla Białorusi -_ radio internetowe i_ portal informacyjnie -_ muzyczny ._
Tokens: 1 2_____ 3___ 4 5___ 6____________ 7__________ 8____ 9__ 10_______ 11 12___ 13_________ 14 15____ 16___________ 17 18______ 19

Chunks:
  FalsePositive nam [7,8] = Europejskie Radio (confidence=0.99) (incorrect boundry)
  FalsePositive nam [10,10] = Białorusi (confidence=0.85) (incorrect boundry)
  FalseNegative nam [7,10] = Europejskie Radio dla Białorusi

(ChunkerEvaluator) Sentence #603 from 00102064 from sent11

Text  : Pełniła funkcję redaktora naczelnego tego projektu .
Tokens: 1______ 2______ 3________ 4_________ 5___ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #604 from 00102064 from sent12

Text  : Interesuje się tematami etyki i kształcenia społeczeństw w krajach Europy Wschodniej ,_ kulturą współczesną w_ tymże regionie ,_ a_ także psychologią ._
Tokens: 1_________ 2__ 3_______ 4____ 5 6__________ 7___________ 8 9______ 10____ 11________ 12 13_____ 14_________ 15 16___ 17______ 18 19 20___ 21_________ 22

Chunks:
  TruePositive nam [10,11] = Europy Wschodniej (confidence=1.00)

(ChunkerEvaluator) Sentence #605 from 00102064 from sent13

Text  : Lubi podróże , uwielbia poznawać ludzi , kojarzyć ze sobą środowiska i_ odkrywać nowe sposoby na życie ._
Tokens: 1___ 2______ 3 4_______ 5_______ 6____ 7 8_______ 9_ 10__ 11________ 12 13______ 14__ 15_____ 16 17___ 18

Chunks:

(ChunkerEvaluator) Sentence #606 from 00102064 from sent14

Text  : Lubi Okudżawę , Nohavicę i Osiecką .
Tokens: 1___ 2_______ 3 4_______ 5 6______ 7

Chunks:
  TruePositive nam [2,2] = Okudżawę (confidence=0.85)
  TruePositive nam [4,4] = Nohavicę (confidence=1.00)
  TruePositive nam [6,6] = Osiecką (confidence=0.93)

(ChunkerEvaluator) Sentence #607 from 00102064 from sent15

Text  : Rodzina : mąż Wojtek , córki Anna i Agata ,_ dwie Babcie ,_ pies Fajka i_ kotka Nuta ._
Tokens: 1______ 2 3__ 4_____ 5 6____ 7___ 8 9____ 10 11__ 12____ 13 14__ 15___ 16 17___ 18__ 19

Chunks:
  TruePositive nam [4,4] = Wojtek (confidence=1.00)
  TruePositive nam [7,7] = Anna (confidence=1.00)
  TruePositive nam [9,9] = Agata (confidence=0.98)
  TruePositive nam [12,12] = Babcie (confidence=0.62)
  TruePositive nam [15,15] = Fajka (confidence=0.98)
  TruePositive nam [18,18] = Nuta (confidence=0.93)

2017-06-14 20:31:37,779 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 37 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102066.xml
(ChunkerEvaluator) Sentence #608 from 00102066 from sent1

Text  : Mam przyjemność prowadzić co tydzień razem z Albertem Hupą z_ ISNS klub dyskusyjny technologie @_ społeczeństwo ._ pl ._
Tokens: 1__ 2__________ 3________ 4_ 5______ 6____ 7 8_______ 9___ 10 11__ 12__ 13________ 14_________ 15 16___________ 17 18 19

Chunks:
  TruePositive nam [8,9] = Albertem Hupą (confidence=1.00)
  TruePositive nam [11,11] = ISNS (confidence=0.90)
  FalseNegative nam [14,18] = technologie @ społeczeństwo . pl

(ChunkerEvaluator) Sentence #609 from 00102066 from sent2

Text  : W najbliższy poniedziałek zapraszamy na rozmowę " Czy wszechświat jest komputerem ?_ "_ z_ ks ._ Henrykiem Paprockim -_ będziemy mówić o_ koncepcjach niemieckiego pioniera cybernetyki Konrada Zuse ,_ matematyce ,_ informatyce ,_ teologii ,_ życiu ,_ wszechświecie i_ całej reszcie ._
Tokens: 1 2_________ 3___________ 4_________ 5_ 6______ 7 8__ 9__________ 10__ 11________ 12 13 14 15 16 17_______ 18_______ 19 20______ 21___ 22 23_________ 24__________ 25______ 26_________ 27_____ 28__ 29 30________ 31 32_________ 33 34______ 35 36___ 37 38___________ 39 40___ 41_____ 42

Chunks:
  TruePositive nam [17,18] = Henrykiem Paprockim (confidence=1.00)
  TruePositive nam [27,28] = Konrada Zuse (confidence=1.00)
  FalseNegative nam [8,11] = Czy wszechświat jest komputerem

(ChunkerEvaluator) Sentence #610 from 00102066 from sent3

Text  : Zajęcia są otwarte dla wszystkich , także stronę internetową klubu każdy może edytować -_ w_ ten sposób wspólnie podejmujemy decyzje co do kolejnych tematów i_ gości ._
Tokens: 1______ 2_ 3______ 4__ 5_________ 6 7____ 8_____ 9__________ 10___ 11___ 12__ 13______ 14 15 16_ 17____ 18______ 19_________ 20_____ 21 22 23_______ 24_____ 25 26___ 27

Chunks:

(ChunkerEvaluator) Sentence #611 from 00102066 from sent4

Text  : A goście będą także znani z Salonu24 : - )_
Tokens: 1 2_____ 3___ 4____ 5____ 6 7_______ 8 9 10

Chunks:
  TruePositive nam [7,7] = Salonu24 (confidence=1.00)

(ChunkerEvaluator) Sentence #612 from 00102066 from sent5

Text  : 27 listopada 2006 , godz . 17 . 30 ,_ REDakcja Krytyki Politycznej ul ._ Chmielna 26 lok ._
Tokens: 1_ 2________ 3___ 4 5___ 6 7_ 8 9_ 10 11______ 12_____ 13_________ 14 15 16______ 17 18_ 19

Chunks:
  TruePositive nam [11,13] = REDakcja Krytyki Politycznej (confidence=0.95)
  TruePositive nam [16,16] = Chmielna (confidence=1.00)

(ChunkerEvaluator) Sentence #613 from 00102066 from sent6

Text  : 19 ( domofon 319 ) , Warszawa .
Tokens: 1_ 2 3______ 4__ 5 6 7_______ 8

Chunks:
  TruePositive nam [7,7] = Warszawa (confidence=0.99)

(ChunkerEvaluator) Sentence #614 from 00102066 from sent7

Text  : Hotspot jest , laptopy mile widziane .
Tokens: 1______ 2___ 3 4______ 5___ 6_______ 7

Chunks:
  FalsePositive nam [1,1] = Hotspot (confidence=0.56) (incorrect boundry)

2017-06-14 20:31:37,815 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 38 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102112.xml
(ChunkerEvaluator) Sentence #615 from 00102112 from sent1

Text  : Zawody odbyły się w samym centrum Warszawy , na niewielkim torze przygotowanym u_ stóp Pałacu Kultury i_ Nauki ._
Tokens: 1_____ 2_____ 3__ 4 5____ 6______ 7_______ 8 9_ 10________ 11___ 12___________ 13 14__ 15____ 16_____ 17 18___ 19

Chunks:
  TruePositive nam [7,7] = Warszawy (confidence=1.00)
  FalsePositive nam [15,16] = Pałacu Kultury (confidence=1.00) (incorrect boundry)
  FalsePositive nam [18,18] = Nauki (confidence=0.81) (incorrect boundry)
  FalseNegative nam [15,18] = Pałacu Kultury i Nauki

(ChunkerEvaluator) Sentence #616 from 00102112 from sent2

Text  : Nawierzchnię toru stanowiła kostka brukowa , urozmaiceniem były dwie hopki z_ płyty OSB ._
Tokens: 1___________ 2___ 3________ 4_____ 5______ 6 7____________ 8___ 9___ 10___ 11 12___ 13_ 14

Chunks:
  FalsePositive nam [13,13] = OSB (confidence=0.95) (incorrect boundry)

(ChunkerEvaluator) Sentence #617 from 00102112 from sent3

Text  : Ze względu na rozmiar jak i nawierzchnię toru zawody były zdecydowanie mniej widowiskowe od typowych zawodów off -_ road ._
Tokens: 1_ 2______ 3_ 4______ 5__ 6 7___________ 8___ 9_____ 10__ 11__________ 12___ 13_________ 14 15______ 16_____ 17_ 18 19__ 20

Chunks:

(ChunkerEvaluator) Sentence #618 from 00102112 from sent4

Text  : Jednak dzięki profesjonalnej obsłudze medialnej oraz atrakcyjnej lokalizacji nie można było narzekac na brak publiczności ._
Tokens: 1_____ 2_____ 3_____________ 4_______ 5________ 6___ 7__________ 8__________ 9__ 10___ 11__ 12______ 13 14__ 15__________ 16

Chunks:

2017-06-14 20:31:37,834 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 39 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102150.xml
(ChunkerEvaluator) Sentence #619 from 00102150 from sent1

Text  : Zaletą Quanty Plus jest możliwość wykorzystania do tagowania toolbarów (_ pasków narzędziowych )_ z_ przyciskami tagów ._
Tokens: 1_____ 2_____ 3___ 4___ 5________ 6____________ 7_ 8________ 9________ 10 11____ 12___________ 13 14 15_________ 16___ 17

Chunks:
  TruePositive nam [2,3] = Quanty Plus (confidence=0.99)

(ChunkerEvaluator) Sentence #620 from 00102150 from sent2

Text  : Dzięki tym przyciskom możemy pracować z myszką : zaznaczyć fragment tekstu ,_ który po kliknięciu któregoś z_ przycisków oznaczony zostanie odpowiednią parą tagów (_ tag otwierający pojawi się na początku zaznaczenia ,_ tag końcowy -_ -_ na jego końcu ._
Tokens: 1_____ 2__ 3_________ 4_____ 5_______ 6 7_____ 8 9________ 10______ 11____ 12 13___ 14 15________ 16______ 17 18________ 19_______ 20______ 21_________ 22__ 23___ 24 25_ 26_________ 27____ 28_ 29 30______ 31_________ 32 33_ 34_____ 35 36 37 38__ 39___ 40

Chunks:

(ChunkerEvaluator) Sentence #621 from 00102150 from sent3

Text  : Jeśli klikniemy na przycisk bez uprzedniego zaznaczenia partii tekstu ,_ para tagów pojawi się w_ miejscu ,_ w_ którym znajduje się kursor )_ ._
Tokens: 1____ 2________ 3_ 4_______ 5__ 6__________ 7__________ 8_____ 9_____ 10 11__ 12___ 13____ 14_ 15 16_____ 17 18 19____ 20______ 21_ 22____ 23 24

Chunks:

(ChunkerEvaluator) Sentence #622 from 00102150 from sent4

Text  : W porównaniu z ręcznym wpisywaniem tagów metoda taka zwiększa szybkość tagowania ,_ zmniejsza też ryzyko popełnienia błędów (_ wstawiane przez program tagi nie mogą zawierać literówek )_ -_ -_ a_ takie ryzyko w_ przypadku tagowania większych utworów jest duże ._
Tokens: 1 2_________ 3 4______ 5__________ 6____ 7_____ 8___ 9_______ 10______ 11_______ 12 13_______ 14_ 15____ 16_________ 17____ 18 19_______ 20___ 21_____ 22__ 23_ 24__ 25______ 26_______ 27 28 29 30 31___ 32____ 33 34_______ 35_______ 36_______ 37_____ 38__ 39__ 40

Chunks:

(ChunkerEvaluator) Sentence #623 from 00102150 from sent5

Text  : Program Quanta Plus jest częścią pakietu KDE Web Dev ,_ można go zainstalować w_ każdej dystrybucji systemu Linux ;_ pakiety instalacyjne znaleźć można w_ repozytoriach wielu dystrybucji ._
Tokens: 1______ 2_____ 3___ 4___ 5______ 6______ 7__ 8__ 9__ 10 11___ 12 13__________ 14 15____ 16_________ 17_____ 18___ 19 20_____ 21__________ 22_____ 23___ 24 25___________ 26___ 27_________ 28

Chunks:
  TruePositive nam [2,3] = Quanta Plus (confidence=0.98)
  TruePositive nam [18,18] = Linux (confidence=0.97)
  FalsePositive nam [7,9] = KDE Web Dev (confidence=1.00) (incorrect boundry)
  FalseNegative nam [7,7] = KDE
  FalseNegative nam [8,9] = Web Dev

(ChunkerEvaluator) Sentence #624 from 00102150 from sent6

Text  : Po uruchomieniu Quanty należy stworzyć nowy projekt .
Tokens: 1_ 2___________ 3_____ 4_____ 5_______ 6___ 7______ 8

Chunks:
  TruePositive nam [3,3] = Quanty (confidence=0.96)

(ChunkerEvaluator) Sentence #625 from 00102150 from sent7

Text  : W tym celu z głównego menu wybieramy Project - -_ >_ New Project ._
Tokens: 1 2__ 3___ 4 5_______ 6___ 7________ 8______ 9 10 11 12_ 13_____ 14

Chunks:
  FalsePositive nam [8,8] = Project (confidence=0.97) (incorrect boundry)
  FalsePositive nam [12,13] = New Project (confidence=0.83) (incorrect boundry)

(ChunkerEvaluator) Sentence #626 from 00102150 from sent8

Text  : Otworzy się okno kreatora projektu , w którymw pierwszym kroku należy podać nazwę projektu ,_ poniżej zaś ścieżkę (_ adres w_ komputerze )_ do głównego folderu projektu (_ Main directory )_ ._
Tokens: 1______ 2__ 3___ 4_______ 5_______ 6 7 8______ 9________ 10___ 11____ 12___ 13___ 14______ 15 16_____ 17_ 18_____ 19 20___ 21 22________ 23 24 25______ 26_____ 27______ 28 29__ 30_______ 31 32

Chunks:

(ChunkerEvaluator) Sentence #627 from 00102150 from sent9

Text  : Poręcznie jest stworzyć specjalny katalog przeznaczony wyłącznie do tego celu ._
Tokens: 1________ 2___ 3_______ 4________ 5______ 6___________ 7________ 8_ 9___ 10__ 11

Chunks:

(ChunkerEvaluator) Sentence #628 from 00102150 from sent10

Text  : Nie zmieniamy nic w polach nazw szablonów i toolbarów -_ -_ te foldery zostaną stworzone automatycznie ._
Tokens: 1__ 2________ 3__ 4 5_____ 6___ 7________ 8 9________ 10 11 12 13_____ 14_____ 15_______ 16___________ 17

Chunks:

(ChunkerEvaluator) Sentence #629 from 00102150 from sent11

Text  : w następnym kroku nie trzeba nic robić ( choć istnieje możliwość dodawania do projektu stworzonych wcześniej plików XML -_ jest to przydatne przy tworzeniu kolejnych projektów lub przenoszeniu do tworzonego projektu plików stworzonych przez inne osoby )_ ;_ w_ trzecim kroku należy podać dane autora projektu oraz określić domyślne ustawienia ._
Tokens: 1 2________ 3____ 4__ 5_____ 6__ 7____ 8 9___ 10______ 11_______ 12_______ 13 14______ 15_________ 16_______ 17____ 18_ 19 20__ 21 22_______ 23__ 24_______ 25_______ 26_______ 27_ 28__________ 29 30________ 31______ 32____ 33_________ 34___ 35__ 36___ 37 38 39 40_____ 41___ 42____ 43___ 44__ 45____ 46______ 47__ 48______ 49______ 50________ 51

Chunks:
  TruePositive nam [18,18] = XML (confidence=0.98)

(ChunkerEvaluator) Sentence #630 from 00102150 from sent12

Text  : Dla pola Default DTD wybrać należy koniecznie opcję XML Schema 1_ ._ 0_ ,_ jako domyślne kodowanie znaków (_ Default encoding )_ ustawić należy koniecznie UTF8 ._
Tokens: 1__ 2___ 3______ 4__ 5_____ 6_____ 7_________ 8____ 9__ 10____ 11 12 13 14 15__ 16______ 17_______ 18____ 19 20_____ 21______ 22 23_____ 24____ 25________ 26__ 27

Chunks:
  TruePositive nam [26,26] = UTF8 (confidence=1.00)
  FalsePositive nam [3,4] = Default DTD (confidence=1.00) (incorrect boundry)
  FalsePositive nam [9,13] = XML Schema 1 . 0 (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #631 from 00102150 from sent13

Text  : Po wybraniu tych ustawień możemy już kliknąć Finish , tworząc nowy projekt ._
Tokens: 1_ 2_______ 3___ 4_______ 5_____ 6__ 7______ 8_____ 9 10_____ 11__ 12_____ 13

Chunks:
  FalsePositive nam [8,8] = Finish (confidence=0.87) (incorrect boundry)

(ChunkerEvaluator) Sentence #632 from 00102150 from sent14

Text  : Następnie należy ściągnąć pakiet toolbarów z przyciskami naszych tagów ._
Tokens: 1________ 2_____ 3_______ 4_____ 5________ 6 7__________ 8______ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #633 from 00102150 from sent15

Text  : Pakiet można pobrać , klikając na ten link : Grafika :_ WL toolbars.tgz ,_ należy go ściągnąć na dysk i_ rozpakować jego zawartość do folderu toolbars utworzonego automatycznie w_ folderze projektu ._
Tokens: 1_____ 2____ 3_____ 4 5_______ 6_ 7__ 8___ 9 10_____ 11 12 13__________ 14 15____ 16 17______ 18 19__ 20 21________ 22__ 23_______ 24 25_____ 26______ 27_________ 28___________ 29 30______ 31______ 32

Chunks:
  TruePositive nam [10,13] = Grafika : WL toolbars.tgz (confidence=0.90)

(ChunkerEvaluator) Sentence #634 from 00102150 from sent16

Text  : Uwaga : pakiet to archiwum . tgz ( po tarowaniu i_ gzipowaniu )_ ,_ w_ którego skład wchodzi 11 podobnie skompresowanych archiwów ,_ których nie należy rozpakowywać ._
Tokens: 1____ 2 3_____ 4_ 5_______ 6 7__ 8 9_ 10_______ 11 12________ 13 14 15 16_____ 17___ 18_____ 19 20______ 21_____________ 22______ 23 24_____ 25_ 26____ 27__________ 28

Chunks:

(ChunkerEvaluator) Sentence #635 from 00102150 from sent17

Text  : By więc Quanta Plus " widziała " wszystkie toolbary ,_ w_ folderze toolbars musimy mieć 11 plików ._ tgz ,_ po jednym dla każdego toolbaru ._
Tokens: 1_ 2___ 3_____ 4___ 5 6_______ 7 8________ 9_______ 10 11 12______ 13______ 14____ 15__ 16 17____ 18 19_ 20 21 22____ 23_ 24_____ 25______ 26

Chunks:
  TruePositive nam [3,4] = Quanta Plus (confidence=1.00)

2017-06-14 20:31:37,938 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 40 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102353.xml
(ChunkerEvaluator) Sentence #636 from 00102353 from sent1

Text  : 8 - 06 - 2006 Pisze " Gazeta Wyborcza "_ :_ Z_ inicjatywy Konwentu Seniorów Sejmu na polecenie Prokuratury Krajowej w_ całej Polsce prokuratorzy zbierają dane o_ śledztwach i_ dochodzeniach dotyczących mediów w_ latach 1990 -_ 2006 ._
Tokens: 1 2 3_ 4 5___ 6____ 7 8_____ 9_______ 10 11 12 13________ 14______ 15______ 16___ 17 18_______ 19_________ 20______ 21 22___ 23____ 24__________ 25______ 26__ 27 28________ 29 30___________ 31_________ 32____ 33 34____ 35__ 36 37__ 38

Chunks:
  TruePositive nam [8,9] = Gazeta Wyborcza (confidence=1.00)
  TruePositive nam [14,16] = Konwentu Seniorów Sejmu (confidence=1.00)
  TruePositive nam [19,20] = Prokuratury Krajowej (confidence=1.00)
  TruePositive nam [23,23] = Polsce (confidence=0.99)
  FalsePositive nam [6,6] = Pisze (confidence=0.55) (incorrect boundry)

(ChunkerEvaluator) Sentence #637 from 00102353 from sent2

Text  : W najbliższych dniach spłyną do Warszawy listy z wykazami redakcji ,_ które odmawiają publikowania sprostowań ,_ mają procesy o_ zniesławienie ,_ ujawniają tajemnice w_ dziennikarskich śledztwach ._
Tokens: 1 2___________ 3_____ 4_____ 5_ 6_______ 7____ 8 9_______ 10______ 11 12___ 13_______ 14__________ 15________ 16 17__ 18_____ 19 20___________ 21 22_______ 23_______ 24 25_____________ 26________ 27

Chunks:
  TruePositive nam [6,6] = Warszawy (confidence=1.00)

(ChunkerEvaluator) Sentence #638 from 00102353 from sent3

Text  : Będą też sprawy prywatne niezwiązane z wykonywaniem zawodu .
Tokens: 1___ 2__ 3_____ 4_______ 5__________ 6 7___________ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #639 from 00102353 from sent4

Text  : Prokuratura Apelacyjna w Rzeszowie wysłała wykaz 18 spraw .
Tokens: 1__________ 2_________ 3 4________ 5______ 6____ 7_ 8____ 9

Chunks:
  TruePositive nam [1,2] = Prokuratura Apelacyjna (confidence=0.88)
  TruePositive nam [4,4] = Rzeszowie (confidence=1.00)

(ChunkerEvaluator) Sentence #640 from 00102353 from sent5

Text  : – Zrozumieli śmy , że mają to być wszystkie sprawy dotyczące dziennikarzy ,_ a_ więc także takie ._
Tokens: 1 2_________ 3__ 4 5_ 6___ 7_ 8__ 9________ 10____ 11_______ 12__________ 13 14 15__ 16___ 17___ 18

Chunks:

(ChunkerEvaluator) Sentence #641 from 00102353 from sent6

Text  : I były dwie – jedna , jak pamiętam , dotyczyła osoby ,_ która jechała pijana na rowerze -_ informuje prok ._ Stanisław Domaradzki ._
Tokens: 1 2___ 3___ 4 5____ 6 7__ 8_______ 9 10_______ 11___ 12 13___ 14_____ 15____ 16 17_____ 18 19_______ 20__ 21 22_______ 23________ 24

Chunks:
  TruePositive nam [22,23] = Stanisław Domaradzki (confidence=1.00)

(ChunkerEvaluator) Sentence #642 from 00102353 from sent7

Text  : Rzeszowski wykaz zawiera nie tylko sygnatury , także nazwiska dziennikarzy !_
Tokens: 1_________ 2____ 3______ 4__ 5____ 6________ 7 8____ 9_______ 10__________ 11

Chunks:

(ChunkerEvaluator) Sentence #643 from 00102353 from sent8

Text  : W Lublinie udało się wychwycić 26 spraw .
Tokens: 1 2_______ 3____ 4__ 5________ 6_ 7____ 8

Chunks:
  TruePositive nam [2,2] = Lublinie (confidence=1.00)

(ChunkerEvaluator) Sentence #644 from 00102353 from sent9

Text  : Nieważne , czy dziennikarz był oskarżonym , czy sprawę umorzono ,_ czy też był tylko świadkiem ._
Tokens: 1_______ 2 3__ 4__________ 5__ 6_________ 7 8__ 9_____ 10______ 11 12_ 13_ 14_ 15___ 16_______ 17

Chunks:

(ChunkerEvaluator) Sentence #645 from 00102353 from sent10

Text  : Trzy z nich już się zakończyły w sądzie .
Tokens: 1___ 2 3___ 4__ 5__ 6_________ 7 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #646 from 00102353 from sent11

Text  : W pięciu dziennikarzom postawiono zarzuty .
Tokens: 1 2_____ 3____________ 4_________ 5______ 6

Chunks:

(ChunkerEvaluator) Sentence #647 from 00102353 from sent12

Text  : – Sprawy dotyczyły głównie ujawniania i rozpowszechniania informacji z postępowań ,_ a_ także uchylania się od zamieszczenia sprostowania –_ mówi rzecznik prokuratury apelacyjnej Ewa Piotrowska ._
Tokens: 1 2_____ 3________ 4______ 5_________ 6 7________________ 8_________ 9 10________ 11 12 13___ 14_______ 15_ 16 17___________ 18__________ 19 20__ 21______ 22_________ 23_________ 24_ 25________ 26

Chunks:
  TruePositive nam [24,25] = Ewa Piotrowska (confidence=1.00)

(ChunkerEvaluator) Sentence #648 from 00102353 from sent13

Text  : Dane zebrała też Prokuratura Apelacyjna w Krakowie .
Tokens: 1___ 2______ 3__ 4__________ 5_________ 6 7_______ 8

Chunks:
  TruePositive nam [4,5] = Prokuratura Apelacyjna (confidence=1.00)
  TruePositive nam [7,7] = Krakowie (confidence=1.00)

(ChunkerEvaluator) Sentence #649 from 00102353 from sent14

Text  : – Od 1990 r . prowadzono 11 spraw zakończonych aktami oskarżenia i_ 16 ,_ które umorzono bądź zdecydowano o_ odmowie wszczęcia –_ mówi jej rzecznik Jerzy Balicki ._
Tokens: 1 2_ 3___ 4 5 6_________ 7_ 8____ 9___________ 10____ 11________ 12 13 14 15___ 16______ 17__ 18_________ 19 20_____ 21_______ 22 23__ 24_ 25______ 26___ 27_____ 28

Chunks:
  TruePositive nam [26,27] = Jerzy Balicki (confidence=1.00)

(ChunkerEvaluator) Sentence #650 from 00102353 from sent15

Text  : Zarzuty dotyczyły najczęściej treści publikacji .
Tokens: 1______ 2________ 3__________ 4_____ 5_________ 6

Chunks:

(ChunkerEvaluator) Sentence #651 from 00102353 from sent16

Text  : W jednej oskarżony został uniewinniony , dwie sąd umorzył ,_ w_ pozostałych orzeczono grzywny lub najwyżej kary ograniczenia wolności ._
Tokens: 1 2_____ 3________ 4_____ 5___________ 6 7___ 8__ 9______ 10 11 12_________ 13_______ 14_____ 15_ 16______ 17__ 18__________ 19______ 20

Chunks:

(ChunkerEvaluator) Sentence #652 from 00102353 from sent17

Text  : Kraków wysłał wykaz bez nazwisk i bez spraw dotyczących sfery prywatnej dziennikarzy ._
Tokens: 1_____ 2_____ 3____ 4__ 5______ 6 7__ 8____ 9__________ 10___ 11_______ 12__________ 13

Chunks:
  FalseNegative nam [1,1] = Kraków

(ChunkerEvaluator) Sentence #653 from 00102353 from sent18

Text  : – Nie spotkał em się w swojej karierze z tym ,_ by prokuratury prowadziły analizy dotyczące grup zawodowych ,_ np ._ jaki odsetek dziennikarzy jeździ po pijanemu czy ilu prokuratorów ma sprawy rodzinne –_ komentuje Balicki ._
Tokens: 1 2__ 3______ 4_ 5__ 6 7_____ 8_______ 9 10_ 11 12 13_________ 14________ 15_____ 16_______ 17__ 18________ 19 20 21 22__ 23_____ 24__________ 25____ 26 27______ 28_ 29_ 30__________ 31 32____ 33______ 34 35_______ 36_____ 37

Chunks:
  TruePositive nam [36,36] = Balicki (confidence=1.00)

(ChunkerEvaluator) Sentence #654 from 00102353 from sent19

Text  : W stolicy powstanie spisu się opóźnia .
Tokens: 1 2______ 3________ 4____ 5__ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #655 from 00102353 from sent20

Text  : W grę wchodzą setki spraw .
Tokens: 1 2__ 3______ 4____ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #656 from 00102353 from sent21

Text  : Lista tylko z jednej prokuratury rejonowej zawiera ponad 60 pozycji ._
Tokens: 1____ 2____ 3 4_____ 5__________ 6________ 7______ 8____ 9_ 10_____ 11

Chunks:

(ChunkerEvaluator) Sentence #657 from 00102353 from sent22

Text  : Nie ma nazwisk ani spraw prywatnych .
Tokens: 1__ 2_ 3______ 4__ 5____ 6_________ 7

Chunks:

(ChunkerEvaluator) Sentence #658 from 00102353 from sent23

Text  : Pismo z prośbą o dane wyszło z Prokuratury Krajowej 18 maja ,_ tuż po posiedzeniu Konwentu Seniorów z_ udziałem ministra Zbigniewa Ziobro i_ prokuratora krajowego Janusza Kaczmarka ._
Tokens: 1____ 2 3_____ 4 5___ 6_____ 7 8__________ 9_______ 10 11__ 12 13_ 14 15_________ 16______ 17______ 18 19______ 20______ 21_______ 22____ 23 24_________ 25_______ 26_____ 27_______ 28

Chunks:
  TruePositive nam [8,9] = Prokuratury Krajowej (confidence=0.99)
  TruePositive nam [16,17] = Konwentu Seniorów (confidence=1.00)
  TruePositive nam [21,22] = Zbigniewa Ziobro (confidence=1.00)
  TruePositive nam [26,27] = Janusza Kaczmarka (confidence=0.99)

(ChunkerEvaluator) Sentence #659 from 00102353 from sent24

Text  : Mowa była o współpracy z komisjami śledczymi , w tym z_ tą ,_ której nie ma ,_ a_ zająć ma się zbadaniem "_ naruszeń wolności słowa mediów i_ dziennikarzy oraz prawa społeczeństwa do rzetelnych informacji w_ latach 1990 -_ 2006 "_ ._
Tokens: 1___ 2___ 3 4_________ 5 6________ 7________ 8 9 10_ 11 12 13 14____ 15_ 16 17 18 19___ 20 21_ 22_______ 23 24______ 25______ 26___ 27____ 28 29__________ 30__ 31___ 32___________ 33 34________ 35________ 36 37____ 38__ 39 40__ 41 42

Chunks:

(ChunkerEvaluator) Sentence #660 from 00102353 from sent25

Text  : - Dostali śmy informację , że jest planowana taka komisja i_ potrzebne są posłom dane ,_ jaki jest zakres tej tematyki ._
Tokens: 1 2______ 3__ 4_________ 5 6_ 7___ 8________ 9___ 10_____ 11 12_______ 13 14____ 15__ 16 17__ 18__ 19____ 20_ 21______ 22

Chunks:

(ChunkerEvaluator) Sentence #661 from 00102353 from sent26

Text  : Wszyscy posłowie na konwencie byli zgodni .
Tokens: 1______ 2_______ 3_ 4________ 5___ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #662 from 00102353 from sent27

Text  : Mogę utyskiwać na tę pracę , ale muszę ją wykonać ._
Tokens: 1___ 2________ 3_ 4_ 5____ 6 7__ 8____ 9_ 10_____ 11

Chunks:

(ChunkerEvaluator) Sentence #663 from 00102353 from sent28

Text  : Poprosili śmy o miesiąc czasu – mówi prokurator krajowy Janusz Kaczmarek ._
Tokens: 1________ 2__ 3 4______ 5____ 6 7___ 8_________ 9______ 10____ 11_______ 12

Chunks:
  TruePositive nam [10,11] = Janusz Kaczmarek (confidence=1.00)

2017-06-14 20:31:38,064 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 41 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102355.xml
(ChunkerEvaluator) Sentence #664 from 00102355 from sent1

Text  : Polska dyplomacja została zmobilizowana do obrzucania najgorszymi inwektywami niemieckiej prasy i_ domagania się sankcji wobec dziennikarzy ._
Tokens: 1_____ 2_________ 3______ 4____________ 5_ 6_________ 7__________ 8__________ 9__________ 10___ 11 12_______ 13_ 14_____ 15___ 16__________ 17

Chunks:

(ChunkerEvaluator) Sentence #665 from 00102355 from sent2

Text  : Jak można , w kraju członkowskim Unii Europejskiej , poważnie grozić dziennikarzom więzieniem za krytykę osobistości politycznych ?_
Tokens: 1__ 2____ 3 4 5____ 6___________ 7___ 8___________ 9 10______ 11____ 12___________ 13________ 14 15_____ 16_________ 17__________ 18

Chunks:
  TruePositive nam [7,8] = Unii Europejskiej (confidence=1.00)

(ChunkerEvaluator) Sentence #666 from 00102355 from sent3

Text  : Polskie prawo , przewidujące kary więzienia za wykroczenia prasowe ,_ jest sprzeczne ze standardami europejskimi ._
Tokens: 1______ 2____ 3 4___________ 5___ 6________ 7_ 8__________ 9______ 10 11__ 12_______ 13 14_________ 15__________ 16

Chunks:

(ChunkerEvaluator) Sentence #667 from 00102355 from sent4

Text  : Należy znowelizować te zacofane przepisy ” – oświadczyli Reporterzy bez Granic ._
Tokens: 1_____ 2___________ 3_ 4_______ 5_______ 6 7 8__________ 9_________ 10_ 11____ 12

Chunks:
  FalsePositive nam [9,9] = Reporterzy (confidence=0.94) (incorrect boundry)
  FalsePositive nam [11,11] = Granic (confidence=0.52) (incorrect boundry)
  FalseNegative nam [9,11] = Reporterzy bez Granic

(ChunkerEvaluator) Sentence #668 from 00102355 from sent5

Text  : „ Uważamy , że reakcja rządu polskiego domagającego się przeprosin od rządu niemieckiego za zwykły artykuł satyryczny na temat prezydenta Lecha Kaczyńskiego ,_ jest skandaliczna i_ nieproporcjonalna ._
Tokens: 1 2______ 3 4_ 5______ 6____ 7________ 8___________ 9__ 10________ 11 12___ 13__________ 14 15____ 16_____ 17________ 18 19___ 20________ 21___ 22__________ 23 24__ 25__________ 26 27_______________ 28

Chunks:
  TruePositive nam [21,22] = Lecha Kaczyńskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #669 from 00102355 from sent6

Text  : Wypowiedzi prezydenta przeciwko niemieckiej gazecie , która opublikowała artykuł są niegodne szefa europejskiego państwa ,_ które chce szanować wolność prasy ._
Tokens: 1_________ 2_________ 3________ 4__________ 5______ 6 7____ 8___________ 9______ 10 11______ 12___ 13___________ 14_____ 15 16___ 17__ 18______ 19_____ 20___ 21

Chunks:

(ChunkerEvaluator) Sentence #670 from 00102355 from sent7

Text  : Dziennikarz niemieckiego dziennika Tageszeitung Peter Kohler 26 czerwca opublikował artykuł satyryczny zatytułowany „_ Młody polski ziemniak ”_ ._
Tokens: 1__________ 2___________ 3________ 4___________ 5____ 6_____ 7_ 8______ 9__________ 10_____ 11________ 12__________ 13 14___ 15____ 16______ 17 18

Chunks:
  TruePositive nam [4,4] = Tageszeitung (confidence=1.00)
  TruePositive nam [5,6] = Peter Kohler (confidence=0.76)
  TruePositive nam [14,16] = Młody polski ziemniak (confidence=0.96)

(ChunkerEvaluator) Sentence #671 from 00102355 from sent8

Text  : Artykuł z rubryki humorystycznej przypisuje prezydentowi skłonność do homofobii a_ jego bratu Jarosławowi ,_ szefowi partii Prawo i_ Sprawiedliwość (_ PiS )_ wspólne mieszkanie z_ matką ._
Tokens: 1______ 2 3______ 4_____________ 5_________ 6___________ 7________ 8_ 9________ 10 11__ 12___ 13_________ 14 15_____ 16____ 17___ 18 19____________ 20 21_ 22 23_____ 24________ 25 26___ 27

Chunks:
  TruePositive nam [13,13] = Jarosławowi (confidence=1.00)
  TruePositive nam [17,19] = Prawo i Sprawiedliwość (confidence=1.00)
  TruePositive nam [21,21] = PiS (confidence=0.99)

(ChunkerEvaluator) Sentence #672 from 00102355 from sent9

Text  : Władze polskie wyraziły oburzenie i porównały dziennik Tageszeitung do prasy hitlerowskiej ._
Tokens: 1_____ 2______ 3_______ 4________ 5 6________ 7_______ 8___________ 9_ 10___ 11___________ 12

Chunks:
  TruePositive nam [8,8] = Tageszeitung (confidence=1.00)

(ChunkerEvaluator) Sentence #673 from 00102355 from sent10

Text  : 4 lipca rząd polski domagał się od rządu niemieckiego potępienia artykułu ._
Tokens: 1 2____ 3___ 4_____ 5______ 6__ 7_ 8____ 9___________ 10________ 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #674 from 00102355 from sent11

Text  : Polski premier Kazimierz Marcinkiewicz oświadczył , że „ trudno sobie wyobrazić ,_ aby w_ Polsce ktokolwiek pozwolił sobie na tego typu teksty o_ prezydentach innych państw ”_ ._
Tokens: 1_____ 2______ 3________ 4____________ 5_________ 6 7_ 8 9_____ 10___ 11_______ 12 13_ 14 15____ 16________ 17______ 18___ 19 20__ 21__ 22____ 23 24__________ 25____ 26____ 27 28

Chunks:
  TruePositive nam [3,4] = Kazimierz Marcinkiewicz (confidence=1.00)
  TruePositive nam [15,15] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #675 from 00102355 from sent12

Text  : Według niego „ reakcja ( … ) jest nieodzowna ”_ ._
Tokens: 1_____ 2____ 3 4______ 5 6 7 8___ 9_________ 10 11

Chunks:

(ChunkerEvaluator) Sentence #676 from 00102355 from sent13

Text  : Ministerstwo Spraw Zagranicznych zaznaczyło , że nie będzie więcej odpowiadać na pytania Gabrielli Lesser ,_ warszawskiej korespondentki Tageszeitung ._
Tokens: 1___________ 2____ 3____________ 4_________ 5 6_ 7__ 8_____ 9_____ 10________ 11 12_____ 13_______ 14____ 15 16__________ 17____________ 18__________ 19

Chunks:
  TruePositive nam [1,3] = Ministerstwo Spraw Zagranicznych (confidence=1.00)
  TruePositive nam [13,14] = Gabrielli Lesser (confidence=1.00)
  TruePositive nam [18,18] = Tageszeitung (confidence=1.00)

(ChunkerEvaluator) Sentence #677 from 00102355 from sent14

Text  : Według ministerstwa prasa niemiecka powinna przestrzegać standardów prasy polskiej ._
Tokens: 1_____ 2___________ 3____ 4________ 5______ 6___________ 7_________ 8____ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #678 from 00102355 from sent15

Text  : 7 lipca prezydent Lech Kaczynski nazwał artykuł opublikowany w Tageszeitung „_ haniebnym i_ łajdackim ”_ ._
Tokens: 1 2____ 3________ 4___ 5________ 6_____ 7______ 8___________ 9 10__________ 11 12_______ 13 14_______ 15 16

Chunks:
  TruePositive nam [4,5] = Lech Kaczynski (confidence=1.00)
  TruePositive nam [10,10] = Tageszeitung (confidence=0.98)

(ChunkerEvaluator) Sentence #679 from 00102355 from sent16

Text  : Artykuł 135 polskiego kodeksu karnego przewiduje karę do trzech lat więzienia za znieważenie prezydenta RP a_ artykuł 136 taką samą karę za znieważenie szefa obcego państwa lub jego przedstawiciela dyplomatycznego ._
Tokens: 1______ 2__ 3________ 4______ 5______ 6_________ 7___ 8_ 9_____ 10_ 11_______ 12 13_________ 14________ 15 16 17_____ 18_ 19__ 20__ 21__ 22 23_________ 24___ 25____ 26_____ 27_ 28__ 29_____________ 30_____________ 31

Chunks:
  TruePositive nam [15,15] = RP (confidence=1.00)

(ChunkerEvaluator) Sentence #680 from 00102355 from sent17

Text  : Artykuł 226 przewiduje karę do dwóch lat więzienia za znieważenie polskiego organu konstytucyjnego ._
Tokens: 1______ 2__ 3_________ 4___ 5_ 6____ 7__ 8________ 9_ 10_________ 11_______ 12____ 13_____________ 14

Chunks:

(ChunkerEvaluator) Sentence #681 from 00102355 from sent18

Text  : Reporterzy bez Granic bronią uwięzionych dziennikarzy i wolności prasy na świecie ._
Tokens: 1_________ 2__ 3_____ 4_____ 5__________ 6___________ 7 8_______ 9____ 10 11_____ 12

Chunks:
  FalsePositive nam [3,3] = Granic (confidence=0.97) (incorrect boundry)
  FalseNegative nam [1,3] = Reporterzy bez Granic

(ChunkerEvaluator) Sentence #682 from 00102355 from sent19

Text  : Organizacja ma dziewięć sekcji narodowych ( Niemcy , Austria ,_ Belgia ,_ Kanada ,_ Hiszpania ,_ Francja ,_ Szwajcaria ,_ Szwecja i_ Włochy )_ ,_ przedstawicielstwa w_ Abidżanie ,_ Bangkoku ,_ Londynie ,_ Moskwie ,_ Nowym Jorku ,_ Tokio i_ Waszyngtonie oraz korespondentów w_ ponad stu dwudziestu krajach ._
Tokens: 1__________ 2_ 3_______ 4_____ 5_________ 6 7_____ 8 9______ 10 11____ 12 13____ 14 15_______ 16 17_____ 18 19________ 20 21_____ 22 23____ 24 25 26________________ 27 28_______ 29 30______ 31 32______ 33 34_____ 35 36___ 37___ 38 39___ 40 41__________ 42__ 43____________ 44 45___ 46_ 47________ 48_____ 49

Chunks:
  TruePositive nam [7,7] = Niemcy (confidence=1.00)
  TruePositive nam [9,9] = Austria (confidence=1.00)
  TruePositive nam [11,11] = Belgia (confidence=1.00)
  TruePositive nam [13,13] = Kanada (confidence=1.00)
  TruePositive nam [15,15] = Hiszpania (confidence=1.00)
  TruePositive nam [17,17] = Francja (confidence=1.00)
  TruePositive nam [19,19] = Szwajcaria (confidence=1.00)
  TruePositive nam [21,21] = Szwecja (confidence=1.00)
  TruePositive nam [23,23] = Włochy (confidence=1.00)
  TruePositive nam [28,28] = Abidżanie (confidence=1.00)
  TruePositive nam [30,30] = Bangkoku (confidence=1.00)
  TruePositive nam [32,32] = Londynie (confidence=1.00)
  TruePositive nam [34,34] = Moskwie (confidence=1.00)
  TruePositive nam [36,37] = Nowym Jorku (confidence=1.00)
  TruePositive nam [39,39] = Tokio (confidence=1.00)
  TruePositive nam [41,41] = Waszyngtonie (confidence=0.96)

(ChunkerEvaluator) Sentence #683 from 00102355 from sent20

Text  : Mój komentarz jest właściwie całkiem zbędny .
Tokens: 1__ 2________ 3___ 4________ 5______ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #684 from 00102355 from sent21

Text  : Co tu komentować ?
Tokens: 1_ 2_ 3_________ 4

Chunks:

(ChunkerEvaluator) Sentence #685 from 00102355 from sent22

Text  : Mój nieżyjący przyjaciel mawiał w analogicznych okolicznościach , że inteligent nigdy nie siada na honorze ,_ bo wie ,_ że można go sobie tylko zagnieść ._
Tokens: 1__ 2________ 3_________ 4_____ 5 6____________ 7______________ 8 9_ 10________ 11___ 12_ 13___ 14 15_____ 16 17 18_ 19 20 21___ 22 23___ 24___ 25______ 26

Chunks:

(ChunkerEvaluator) Sentence #686 from 00102355 from sent23

Text  : Ale to dotyczy inteligentów …
Tokens: 1__ 2_ 3______ 4___________ 5

Chunks:

(ChunkerEvaluator) Sentence #687 from 00102355 from sent24

Text  : Swoja drogą , zawsze sądził em , że są pewne granice robienia z_ siebie idioty ,_ nawet w_ wykonaniu polityków ._
Tokens: 1____ 2____ 3 4_____ 5_____ 6_ 7 8_ 9_ 10___ 11_____ 12______ 13 14____ 15____ 16 17___ 18 19_______ 20_______ 21

Chunks:

(ChunkerEvaluator) Sentence #688 from 00102355 from sent25

Text  : Okazuje się – kolejny błąd , kolego B .
Tokens: 1______ 2__ 3 4______ 5___ 6 7_____ 8 9

Chunks:
  FalseNegative nam [8,9] = B .

2017-06-14 20:31:38,182 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 42 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102419.xml
(ChunkerEvaluator) Sentence #689 from 00102419 from sent1

Text  : sos spaghetti i różnorodność społeczeństwa
Tokens: 1__ 2________ 3 4___________ 5____________

Chunks:

(ChunkerEvaluator) Sentence #690 from 00102419 from sent2

Text  : Fascynujący wykład Malcolma Gladwella na temat sosu spaghetti i sosów spaghetti ._
Tokens: 1__________ 2_____ 3_______ 4________ 5_ 6____ 7___ 8________ 9 10___ 11_______ 12

Chunks:
  TruePositive nam [3,4] = Malcolma Gladwella (confidence=1.00)

(ChunkerEvaluator) Sentence #691 from 00102419 from sent3

Text  : Wiedział em , że Gladwell jest świetnym pisarzem popularnonaukowym -_ okazuje się ,_ że opowiada równie dobrze ,_ jeśli nie lepiej ._
Tokens: 1_______ 2_ 3 4_ 5_______ 6___ 7_______ 8_______ 9________________ 10 11_____ 12_ 13 14 15______ 16____ 17____ 18 19___ 20_ 21____ 22

Chunks:
  TruePositive nam [5,5] = Gladwell (confidence=0.97)

(ChunkerEvaluator) Sentence #692 from 00102419 from sent4

Text  : Gladwell , na przykładzie sosu spaghetti , czyni dwa cenne spostrzeżenia ._
Tokens: 1_______ 2 3_ 4__________ 5___ 6________ 7 8____ 9__ 10___ 11___________ 12

Chunks:
  TruePositive nam [1,1] = Gladwell (confidence=0.83)

(ChunkerEvaluator) Sentence #693 from 00102419 from sent5

Text  : Po pierwsze zauważa , że ludzie nie wiedzą naprawdę ,_ co lubią -_ pytani wprost o_ ulubiony sos pomidorowy podają zbitkę haseł znaną zapewne z_ reklam -_ gdy tymczasem ich rzeczywiste gusta (_ które można zbadać dając im do zjedzenia różne sosy )_ różnią się istotnie i_ dzielą społeczeństwo na kilka grup o_ wyraźnie różnych gustach ._
Tokens: 1_ 2_______ 3______ 4 5_ 6_____ 7__ 8_____ 9_______ 10 11 12___ 13 14____ 15____ 16 17______ 18_ 19________ 20____ 21____ 22___ 23___ 24_____ 25 26____ 27 28_ 29_______ 30_ 31_________ 32___ 33 34___ 35___ 36____ 37___ 38 39 40_______ 41___ 42__ 43 44____ 45_ 46______ 47 48____ 49___________ 50 51___ 52__ 53 54______ 55_____ 56_____ 57

Chunks:

(ChunkerEvaluator) Sentence #694 from 00102419 from sent6

Text  : Co istotniejsze , pokazuje - na bardzo przyziemnym przykładzie -_ jak przemysł żywieniowy zaakceptował wreszcie ludzką różnorodność -_ co przejawiło się w_ dość prozaicznym oferowaniu sosów zamiast sosu spaghetti ._
Tokens: 1_ 2___________ 3 4_______ 5 6_ 7_____ 8__________ 9__________ 10 11_ 12______ 13________ 14__________ 15______ 16____ 17__________ 18 19 20________ 21_ 22 23__ 24_________ 25________ 26___ 27_____ 28__ 29_______ 30

Chunks:

(ChunkerEvaluator) Sentence #695 from 00102419 from sent7

Text  : Gladwell ma talent do przechodzenia od banalnych przykładów do dobrze brzmiących uogólnień -_ mówi o_ przejściu “_ od poszukiwania wartości uniwersalnych do rozumienia różnorodności ”_ ._
Tokens: 1_______ 2_ 3_____ 4_ 5____________ 6_ 7________ 8_________ 9_ 10____ 11________ 12_______ 13 14__ 15 16_______ 17 18 19__________ 20______ 21___________ 22 23________ 24___________ 25 26

Chunks:
  TruePositive nam [1,1] = Gladwell (confidence=0.59)

(ChunkerEvaluator) Sentence #696 from 00102419 from sent8

Text  : Myślę , że wykład Gladwella ( z 2004 roku )_ ma spory związek z_ tegoroczną koncepcją długiego ogona ,_ bowiem pokazuje ,_ że niszowość jest podstawową cechą naszego społeczeństwa ._
Tokens: 1____ 2 3_ 4_____ 5________ 6 7 8___ 9___ 10 11 12___ 13_____ 14 15________ 16_______ 17______ 18___ 19 20____ 21______ 22 23 24_______ 25__ 26________ 27___ 28_____ 29___________ 30

Chunks:
  TruePositive nam [5,5] = Gladwella (confidence=0.99)

(ChunkerEvaluator) Sentence #697 from 00102419 from sent9

Text  : Sosy Gladwella interesują mnie również dlatego , że jest dla mnie oczywiste ,_ że nie ma internetu ,_ są tylko internety ._
Tokens: 1___ 2________ 3_________ 4___ 5______ 6______ 7 8_ 9___ 10_ 11__ 12_______ 13 14 15_ 16 17_______ 18 19 20___ 21_______ 22

Chunks:
  TruePositive nam [2,2] = Gladwella (confidence=0.96)
  TruePositive nam [17,17] = internetu (confidence=1.00)
  TruePositive nam [21,21] = internety (confidence=0.54)

(ChunkerEvaluator) Sentence #698 from 00102419 from sent10

Text  : Tu należy się ukłon George ’ owi W . Bushowi ,_ który stwierdził kiedyś :_
Tokens: 1_ 2_____ 3__ 4____ 5_____ 6 7__ 8 9 10_____ 11 12___ 13________ 14____ 15

Chunks:
  TruePositive nam [5,10] = George ’ owi W . Bushowi (confidence=1.00)

(ChunkerEvaluator) Sentence #699 from 00102419 from sent11

Text  : „ I hear there ’ s rumors on the [_ uh (_ pauza )_ ]_ Internets ”_ ._
Tokens: 1 2 3___ 4____ 5 6 7_____ 8_ 9__ 10 11 12 13___ 14 15 16_______ 17 18

Chunks:
  TruePositive nam [16,16] = Internets (confidence=0.99)

(ChunkerEvaluator) Sentence #700 from 00102419 from sent12

Text  : Ale o tym - kiedy indziej .
Tokens: 1__ 2 3__ 4 5____ 6______ 7

Chunks:

2017-06-14 20:31:38,247 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 43 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102423.xml
(ChunkerEvaluator) Sentence #701 from 00102423 from sent1

Text  : Holenderskie organizacje zbiorowego zarządu współpracują z Creative Commons
Tokens: 1___________ 2__________ 3_________ 4______ 5___________ 6 7_______ 8______

Chunks:
  TruePositive nam [7,8] = Creative Commons (confidence=1.00)

(ChunkerEvaluator) Sentence #702 from 00102423 from sent2

Text  : W Holandii wystartował przełomowy projekt pilotażowy , w ramach którego muzycy zrzeszeni w_ organizacji zbiorowego zarządu prawami autorskimi Buma /_ Stemra będą mieli możliwość udostępnienia swojej twórczości na jednej z_ niekomercyjnych licencji Creative Commons -_ a_ tym samym samodzielnego zarządzania niekomercyjnymi prawami do swojej twórczości ._
Tokens: 1 2_______ 3__________ 4_________ 5______ 6_________ 7 8 9_____ 10_____ 11____ 12_______ 13 14_________ 15________ 16_____ 17_____ 18________ 19__ 20 21____ 22__ 23___ 24_______ 25___________ 26____ 27________ 28 29____ 30 31_____________ 32______ 33______ 34_____ 35 36 37_ 38___ 39___________ 40_________ 41_____________ 42_____ 43 44____ 45________ 46

Chunks:
  TruePositive nam [2,2] = Holandii (confidence=1.00)
  TruePositive nam [33,34] = Creative Commons (confidence=1.00)
  FalsePositive nam [19,19] = Buma (confidence=0.83) (incorrect boundry)
  FalsePositive nam [21,21] = Stemra (confidence=0.73) (incorrect boundry)
  FalseNegative nam [19,21] = Buma / Stemra

(ChunkerEvaluator) Sentence #703 from 00102423 from sent3

Text  : Brak możliwości stosowania wolnych licencji przez członków organizacji zbiorowego zarządu jest jedną z_ poważniejszych barier w_ popularyzacji wolnej kultury ._
Tokens: 1___ 2_________ 3_________ 4______ 5_______ 6____ 7_______ 8__________ 9_________ 10_____ 11__ 12___ 13 14____________ 15____ 16 17___________ 18____ 19_____ 20

Chunks:

(ChunkerEvaluator) Sentence #704 from 00102423 from sent4

Text  : WYnika on z faktu , że twórcy przenoszą na organizacje całość praw do własnej twórczości i_ tracą możliwość dysponowania nimi ._
Tokens: 1_____ 2_ 3 4____ 5 6_ 7_____ 8________ 9_ 10_________ 11____ 12__ 13 14_____ 15________ 16 17___ 18_______ 19__________ 20__ 21

Chunks:

(ChunkerEvaluator) Sentence #705 from 00102423 from sent5

Text  : Wspólny projekt stanowi ważny precedens w skali europejskiej .
Tokens: 1______ 2______ 3______ 4____ 5________ 6 7____ 8___________ 9

Chunks:

(ChunkerEvaluator) Sentence #706 from 00102423 from sent6

Text  : Jego celem jest sprawdzenie , czy w dobie mediów cyfrowych nie jest możliwe połączenie zbiorowego zarządu z_ indywidualnymi mechanizmami zarządzania prawami ._
Tokens: 1___ 2____ 3___ 4__________ 5 6__ 7 8____ 9_____ 10_______ 11_ 12__ 13_____ 14________ 15________ 16_____ 17 18____________ 19__________ 20_________ 21_____ 22

Chunks:

(ChunkerEvaluator) Sentence #707 from 00102423 from sent7

Text  : Więcej na ten temat piszę na blogu Creative Commons Polska ._
Tokens: 1_____ 2_ 3__ 4____ 5____ 6_ 7____ 8_______ 9______ 10____ 11

Chunks:
  TruePositive nam [8,10] = Creative Commons Polska (confidence=1.00)

2017-06-14 20:31:38,286 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 44 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102443.xml
(ChunkerEvaluator) Sentence #708 from 00102443 from sent1

Text  : W internecie czuć reperkusje obecnych awantur politycznych ( które same w_ sobie nas na tym blogu nie interesują )_ ._
Tokens: 1 2_________ 3___ 4_________ 5_______ 6______ 7___________ 8 9____ 10__ 11 12___ 13_ 14 15_ 16___ 17_ 18________ 19 20

Chunks:
  TruePositive nam [2,2] = internecie (confidence=0.74)

(ChunkerEvaluator) Sentence #709 from 00102443 from sent2

Text  : Wiesław Sadurski zarzucił pozostającej od lat anonimowej katarynie ( blog przed transferem )_ ,_ że ocenianie innych pod pseudonimem jest tchórzliwe ._
Tokens: 1______ 2_______ 3_______ 4___________ 5_ 6__ 7_________ 8________ 9 10__ 11___ 12________ 13 14 15 16_______ 17____ 18_ 19_________ 20__ 21________ 22

Chunks:
  TruePositive nam [1,2] = Wiesław Sadurski (confidence=1.00)

(ChunkerEvaluator) Sentence #710 from 00102443 from sent3

Text  : W odpowiedzi - kataryna odeszła od salonu 24 .
Tokens: 1 2_________ 3 4_______ 5______ 6_ 7_____ 8_ 9

Chunks:

(ChunkerEvaluator) Sentence #711 from 00102443 from sent4

Text  : To dość zabawne , choć pokazuje moc “ stajniowego ”_ myślenia (_ o_ stajniach blogowych pisał em jakiś czas temu )_ ._
Tokens: 1_ 2___ 3______ 4 5___ 6_______ 7__ 8 9__________ 10 11______ 12 13 14_______ 15_______ 16___ 17 18___ 19__ 20__ 21 22

Chunks:

(ChunkerEvaluator) Sentence #712 from 00102443 from sent5

Text  : Blogi miały być z założenia , i w wielu miejscach na świecie i_ sytuacjach ,_ są ,_ mediami osobistymi ._
Tokens: 1____ 2____ 3__ 4 5________ 6 7 8 9____ 10_______ 11 12_____ 13 14________ 15 16 17 18_____ 19________ 20

Chunks:

(ChunkerEvaluator) Sentence #713 from 00102443 from sent6

Text  : W Polsce tymczasem wiele blogów jest silnych siłą swojej stajni -_ a_ stajnie wymieniają się blogami niczym kluby piłkarskie (_ tylko wartości umów za transfery raczej nie te same )_ ._
Tokens: 1 2_____ 3________ 4____ 5_____ 6___ 7______ 8___ 9_____ 10____ 11 12 13_____ 14________ 15_ 16_____ 17____ 18___ 19________ 20 21___ 22______ 23__ 24 25_______ 26____ 27_ 28 29__ 30 31

Chunks:
  TruePositive nam [2,2] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #714 from 00102443 from sent7

Text  : Wykształcił się więc w Polsce model blogowania , w którym umiejscowienie bloga w_ internecie gra znaczącą rolę ._
Tokens: 1__________ 2__ 3___ 4 5_____ 6____ 7_________ 8 9 10____ 11____________ 12___ 13 14________ 15_ 16______ 17__ 18

Chunks:
  TruePositive nam [5,5] = Polsce (confidence=1.00)
  TruePositive nam [14,14] = internecie (confidence=0.91)

(ChunkerEvaluator) Sentence #715 from 00102443 from sent8

Text  : Okazuje się też , że dla części blogujących granice sfery blogów zamykają się w_ ramach własnej stajni ._
Tokens: 1______ 2__ 3__ 4 5_ 6__ 7_____ 8__________ 9______ 10___ 11____ 12______ 13_ 14 15____ 16_____ 17____ 18

Chunks:

(ChunkerEvaluator) Sentence #716 from 00102443 from sent9

Text  : Jest mi autentycznie przykro , ze kataryna odeszla .
Tokens: 1___ 2_ 3___________ 4______ 5 6_ 7_______ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #717 from 00102443 from sent10

Text  : Bardziej niż postrzeganie blogów i internetu przez prof . Sadurskiego interesuje mnie fakt ,_ że jego pogląd prawdopodobnie jest reprezentatywny ,_ szczególnie dla wielu blogerów młodych stażem ._
Tokens: 1_______ 2__ 3___________ 4_____ 5 6________ 7____ 8___ 9 10_________ 11________ 12__ 13__ 14 15 16__ 17____ 18____________ 19__ 20_____________ 21 22_________ 23_ 24___ 25______ 26_____ 27____ 28

Chunks:
  TruePositive nam [6,6] = internetu (confidence=0.99)
  TruePositive nam [10,10] = Sadurskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #718 from 00102443 from sent11

Text  : Trochę to wszystko absurdalne - chciało by się zorganizować kampanię społeczną z_ hasłem :_
Tokens: 1_____ 2_ 3_______ 4_________ 5 6______ 7_ 8__ 9___________ 10______ 11_______ 12 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #719 from 00102443 from sent12

Text  : Linki prowadzą , a RSS wysysa informacje z każdego zakątka internetu !_
Tokens: 1____ 2_______ 3 4 5__ 6_____ 7_________ 8 9______ 10_____ 11_______ 12

Chunks:
  TruePositive nam [5,5] = RSS (confidence=1.00)
  FalseNegative nam [11,11] = internetu

2017-06-14 20:31:38,342 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 45 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102500.xml
(ChunkerEvaluator) Sentence #720 from 00102500 from sent1

Text  : Radni ozorkowscy przyjęli uchwałę o scaleniu i podziale gruntów po obu stronach al ._ Unii Europejskiej i_ ul ._ Lipowej ._
Tokens: 1____ 2_________ 3_______ 4______ 5 6_______ 7 8_______ 9______ 10 11_ 12______ 13 14 15__ 16__________ 17 18 19 20_____ 21

Chunks:
  TruePositive nam [20,20] = Lipowej (confidence=0.99)
  FalsePositive nam [15,16] = Unii Europejskiej (confidence=1.00) (incorrect boundry)
  FalseNegative nam [13,16] = al . Unii Europejskiej

(ChunkerEvaluator) Sentence #721 from 00102500 from sent2

Text  : Te rozproszone nieużytki o łącznej powierzchni blisko 8 hektarów w_ około 85 procentach należą do miasta ._
Tokens: 1_ 2__________ 3________ 4 5______ 6__________ 7_____ 8 9_______ 10 11___ 12 13________ 14____ 15 16____ 17

Chunks:

(ChunkerEvaluator) Sentence #722 from 00102500 from sent3

Text  : Według planu zagospodarowania przestrzennego mogą tu powstać domy jednorodzinne oraz punkty usługowe ._
Tokens: 1_____ 2____ 3_______________ 4_____________ 5___ 6_ 7______ 8___ 9____________ 10__ 11____ 12______ 13

Chunks:

(ChunkerEvaluator) Sentence #723 from 00102500 from sent4

Text  : - Ozorków potrzebuje pilnie pieniędzy na inwestycje , a to jest żyła złota -_ zapewnia Piotr Giziński ,_ burmistrz Ozorkowa ._
Tokens: 1 2______ 3_________ 4_____ 5________ 6_ 7_________ 8 9 10 11__ 12__ 13___ 14 15______ 16___ 17______ 18 19_______ 20______ 21

Chunks:
  TruePositive nam [16,17] = Piotr Giziński (confidence=1.00)
  TruePositive nam [20,20] = Ozorkowa (confidence=1.00)
  FalseNegative nam [2,2] = Ozorków

(ChunkerEvaluator) Sentence #724 from 00102500 from sent5

Text  : - Dziś są to wąskie paski ziemi , często bez dostępu do dróg publicznych ._
Tokens: 1 2___ 3_ 4_ 5_____ 6____ 7____ 8 9_____ 10_ 11_____ 12 13__ 14_________ 15

Chunks:

(ChunkerEvaluator) Sentence #725 from 00102500 from sent6

Text  : Po scaleniu i nadaniu działkom nowego kształtu wszyscy właściciele będą mieli dostęp do drogi ._
Tokens: 1_ 2_______ 3 4______ 5_______ 6_____ 7_______ 8______ 9__________ 10__ 11___ 12____ 13 14___ 15

Chunks:

(ChunkerEvaluator) Sentence #726 from 00102500 from sent7

Text  : Teren jest uzbrojony , położony w bezpośrednim sąsiedztwie osiedla Małachowskiego -_ Piłsudskiego ._
Tokens: 1____ 2___ 3________ 4 5_______ 6 7___________ 8__________ 9______ 10____________ 11 12__________ 13

Chunks:
  FalsePositive nam [10,10] = Małachowskiego (confidence=1.00) (incorrect boundry)
  FalsePositive nam [12,12] = Piłsudskiego (confidence=0.72) (incorrect boundry)
  FalseNegative nam [10,12] = Małachowskiego - Piłsudskiego

(ChunkerEvaluator) Sentence #727 from 00102500 from sent8

Text  : Urzędnicy milczą na temat przewidywanych cen wywoławczych ziemi , ale działki nie będą tanie ._
Tokens: 1________ 2_____ 3_ 4____ 5_____________ 6__ 7___________ 8____ 9 10_ 11_____ 12_ 13__ 14___ 15

Chunks:

(ChunkerEvaluator) Sentence #728 from 00102500 from sent9

Text  : Miasto zainwestuje w przedłużenie ulic Rataja i Małachowskiego , wynajmie w_ drodze przetargu firmę geodezyjną do wyznaczenia nowych granic parceli wzdłuż istniejących i_ planowanych odcinków ulic ._
Tokens: 1_____ 2__________ 3 4___________ 5___ 6_____ 7 8_____________ 9 10______ 11 12____ 13_______ 14___ 15________ 16 17_________ 18____ 19____ 20_____ 21____ 22__________ 23 24_________ 25______ 26__ 27

Chunks:
  TruePositive nam [6,6] = Rataja (confidence=1.00)
  TruePositive nam [8,8] = Małachowskiego (confidence=0.98)

(ChunkerEvaluator) Sentence #729 from 00102500 from sent10

Text  : - Scalanie jest sprawiedliwe , bo daje prywatnym właścicielom i_ miastu szansę na dostęp do dróg -_ argumentuje geodeta Przemysław Wiśniewski ._
Tokens: 1 2_______ 3___ 4___________ 5 6_ 7___ 8________ 9___________ 10 11____ 12____ 13 14____ 15 16__ 17 18_________ 19_____ 20________ 21________ 22

Chunks:
  TruePositive nam [20,21] = Przemysław Wiśniewski (confidence=1.00)

(ChunkerEvaluator) Sentence #730 from 00102500 from sent11

Text  : - Oczywiście , każdy musi oddać proporcjonalnie trochę ziemi pod budowę sieci nowych dróg publicznych na tym terenie ._
Tokens: 1 2_________ 3 4____ 5___ 6____ 7______________ 8_____ 9____ 10_ 11____ 12___ 13____ 14__ 15_________ 16 17_ 18_____ 19

Chunks:

(ChunkerEvaluator) Sentence #731 from 00102500 from sent12

Text  : Miasto wystawi na przetarg działki o powierzchni od 1 do 2_ tysięcy metrów kwadratowych ._
Tokens: 1_____ 2______ 3_ 4_______ 5______ 6 7__________ 8_ 9 10 11 12_____ 13____ 14__________ 15

Chunks:

(ChunkerEvaluator) Sentence #732 from 00102500 from sent13

Text  : Ich lokalizacja jest atrakcyjna - wzdłuż obwodnicy ozorkowskiej , tworzonej na razie przez ulicę :_ Południową ,_ al ._ Unii Europejskiej i_ ul Lipową ,_ a_ w_ przyszłości przedłużonej o_ nowy odcinek ul ._ Rataja ._
Tokens: 1__ 2__________ 3___ 4_________ 5 6_____ 7________ 8___________ 9 10_______ 11 12___ 13___ 14___ 15 16________ 17 18 19 20__ 21__________ 22 23 24____ 25 26 27 28_________ 29__________ 30 31__ 32_____ 33 34 35____ 36

Chunks:
  TruePositive nam [16,16] = Południową (confidence=0.95)
  TruePositive nam [35,35] = Rataja (confidence=1.00)
  FalsePositive nam [20,21] = Unii Europejskiej (confidence=1.00) (incorrect boundry)
  FalseNegative nam [18,21] = al . Unii Europejskiej
  FalseNegative nam [24,24] = Lipową

(ChunkerEvaluator) Sentence #733 from 00102500 from sent14

Text  : Około 50 działek budowlanych trafi na rynek w przyszłym roku ._
Tokens: 1____ 2_ 3______ 4__________ 5____ 6_ 7____ 8 9________ 10__ 11

Chunks:

2017-06-14 20:31:38,412 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 46 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102672.xml
(ChunkerEvaluator) Sentence #734 from 00102672 from sent1

Text  : dzień dobry , xxx
Tokens: 1____ 2____ 3 4__

Chunks:

(ChunkerEvaluator) Sentence #735 from 00102672 from sent2

Text  : dzień dobry pani , proszę pani , czy trzydzieści pięć __ __ __ z_ Broniewskiego do Placu Zbawiciela dojadę ?_
Tokens: 1____ 2____ 3___ 4 5_____ 6___ 7 8__ 9__________ 10__ 11 12 13 14 15___________ 16 17___ 18________ 19____ 20

Chunks:
  TruePositive nam [15,15] = Broniewskiego (confidence=1.00)
  TruePositive nam [17,18] = Placu Zbawiciela (confidence=1.00)

(ChunkerEvaluator) Sentence #736 from 00102672 from sent3

Text  : . . .
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #737 from 00102672 from sent4

Text  : FILLER trzydzieści pięć tak ?
Tokens: 1_____ 2__________ 3___ 4__ 5

Chunks:

(ChunkerEvaluator) Sentence #738 from 00102672 from sent5

Text  : FILLER
Tokens: 1_____

Chunks:

(ChunkerEvaluator) Sentence #739 from 00102672 from sent6

Text  : bo podobno
Tokens: 1_ 2______

Chunks:

(ChunkerEvaluator) Sentence #740 from 00102672 from sent7

Text  : miała być zmiana , zdaje się i
Tokens: 1____ 2__ 3_____ 4 5____ 6__ 7

Chunks:

(ChunkerEvaluator) Sentence #741 from 00102672 from sent8

Text  : proszę pana , nic się na razie nie zmieniło ,_ tramwaje jeżdżą tak ,_ jak jeździły
Tokens: 1_____ 2___ 3 4__ 5__ 6_ 7____ 8__ 9_______ 10 11______ 12____ 13_ 14 15_ 16______

Chunks:

(ChunkerEvaluator) Sentence #742 from 00102672 from sent9

Text  : bo od dziewiętnastego miała być zmiana
Tokens: 1_ 2_ 3______________ 4____ 5__ 6_____

Chunks:

(ChunkerEvaluator) Sentence #743 from 00102672 from sent10

Text  : tak , ale nie weszła ta zmiana
Tokens: 1__ 2 3__ 4__ 5_____ 6_ 7_____

Chunks:

(ChunkerEvaluator) Sentence #744 from 00102672 from sent11

Text  : proszę pa
Tokens: 1_____ 2_

Chunks:

(ChunkerEvaluator) Sentence #745 from 00102672 from sent12

Text  : czyli
Tokens: 1____

Chunks:

(ChunkerEvaluator) Sentence #746 from 00102672 from sent13

Text  : trzydzieści pięć dojadę do _ _ _ do Placu Zbawiciela
Tokens: 1__________ 2___ 3_____ 4_ 5 6 7 8_ 9____ 10________

Chunks:
  TruePositive nam [9,10] = Placu Zbawiciela (confidence=1.00)

(ChunkerEvaluator) Sentence #747 from 00102672 from sent14

Text  : tak jest , tak , dziękuję , do widzenia
Tokens: 1__ 2___ 3 4__ 5 6_______ 7 8_ 9_______

Chunks:

2017-06-14 20:31:38,439 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 47 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102680.xml
(ChunkerEvaluator) Sentence #748 from 00102680 from sent1

Text  : xxx , dzień dobry
Tokens: 1__ 2 3____ 4____

Chunks:

(ChunkerEvaluator) Sentence #749 from 00102680 from sent2

Text  : FILLER dobry wieczór FILLER proszę pana , ja dzwonię do pana ,_ żeby pan mi pomógł dobrać najlepsze połączenie z_ ulicy Stępińska róg Gagarina na FILLER Dworzec Stadion
Tokens: 1_____ 2____ 3______ 4_____ 5_____ 6___ 7 8_ 9______ 10 11__ 12 13__ 14_ 15 16____ 17____ 18_______ 19________ 20 21___ 22_______ 23_ 24______ 25 26____ 27_____ 28_____

Chunks:
  TruePositive nam [22,22] = Stępińska (confidence=1.00)
  TruePositive nam [24,24] = Gagarina (confidence=0.63)
  TruePositive nam [27,28] = Dworzec Stadion (confidence=0.99)

(ChunkerEvaluator) Sentence #750 from 00102680 from sent3

Text  : Stępińska róg Gagarina FILLER proszę wsiąść FILLER . . ._
Tokens: 1________ 2__ 3_______ 4_____ 5_____ 6_____ 7_____ 8 9 10

Chunks:
  TruePositive nam [3,3] = Gagarina (confidence=0.97)
  FalseNegative nam [1,1] = Stępińska

(ChunkerEvaluator) Sentence #751 from 00102680 from sent4

Text  : od Gagarina róg Spacerowej
Tokens: 1_ 2_______ 3__ 4_________

Chunks:
  FalsePositive nam [2,4] = Gagarina róg Spacerowej (confidence=1.00) (incorrect boundry)
  FalseNegative nam [2,2] = Gagarina
  FalseNegative nam [4,4] = Spacerowej

(ChunkerEvaluator) Sentence #752 from 00102680 from sent5

Text  : w autobus sto sześćdziesiąt sześć . . .
Tokens: 1 2______ 3__ 4____________ 5____ 6 7 8

Chunks:

(ChunkerEvaluator) Sentence #753 from 00102680 from sent6

Text  : i tym autobusem dojedzie pani do do przystanku albo jest PKP Stadion i_ tam trzeba było by przejść pod torami i_ dojść do dworca ,_ albo przy Teatrze Powszechnym ,_ to jest przystanek Aleja Zieleniecka i_ tam do dworca dojść
Tokens: 1 2__ 3________ 4_______ 5___ 6_ 7_ 8_________ 9___ 10__ 11_ 12_____ 13 14_ 15____ 16__ 17 18_____ 19_ 20____ 21 22___ 23 24____ 25 26__ 27__ 28_____ 29_________ 30 31 32__ 33________ 34___ 35_________ 36 37_ 38 39____ 40___

Chunks:
  TruePositive nam [11,12] = PKP Stadion (confidence=1.00)
  TruePositive nam [28,29] = Teatrze Powszechnym (confidence=0.99)
  TruePositive nam [34,35] = Aleja Zieleniecka (confidence=1.00)

(ChunkerEvaluator) Sentence #754 from 00102680 from sent7

Text  : a to jest ze Spacerowej , a bliżej Stępińskiej żeby coś było
Tokens: 1 2_ 3___ 4_ 5_________ 6 7 8_____ 9__________ 10__ 11_ 12__

Chunks:
  TruePositive nam [9,9] = Stępińskiej (confidence=0.74)
  FalseNegative nam [5,5] = Spacerowej

(ChunkerEvaluator) Sentence #755 from 00102680 from sent8

Text  : bliżej Stępińskiej FILLER tylko z przesiadkami
Tokens: 1_____ 2__________ 3_____ 4____ 5 6___________

Chunks:
  TruePositive nam [2,2] = Stępińskiej (confidence=0.96)

(ChunkerEvaluator) Sentence #756 from 00102680 from sent9

Text  : tylko ale to może być i z przesiadką
Tokens: 1____ 2__ 3_ 4___ 5__ 6 7 8_________

Chunks:

(ChunkerEvaluator) Sentence #757 from 00102680 from sent10

Text  : FILLER to mogę pani zaproponować taki dojazd FILLER sto osiemdziesiąt FILLER do Foksal
Tokens: 1_____ 2_ 3___ 4___ 5___________ 6___ 7_____ 8_____ 9__ 10___________ 11____ 12 13____

Chunks:
  TruePositive nam [13,13] = Foksal (confidence=0.99)

(ChunkerEvaluator) Sentence #758 from 00102680 from sent11

Text  : i tutaj tramwaje siódemka , ósemka , dwadzieścia pięć do Alei Zielenieckiej
Tokens: 1 2____ 3_______ 4_______ 5 6_____ 7 8__________ 9___ 10 11__ 12___________

Chunks:
  TruePositive nam [11,12] = Alei Zielenieckiej (confidence=1.00)

(ChunkerEvaluator) Sentence #759 from 00102680 from sent12

Text  : dobrze , to dziękuję panu bardzo , dobranoc
Tokens: 1_____ 2 3_ 4_______ 5___ 6_____ 7 8_______

Chunks:

(ChunkerEvaluator) Sentence #760 from 00102680 from sent13

Text  : dziękuję , dobranoc
Tokens: 1_______ 2 3_______

Chunks:

(ChunkerEvaluator) Sentence #761 from 00102680 from sent14

Text  : dobranoc
Tokens: 1_______

Chunks:

2017-06-14 20:31:38,482 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 48 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102696.xml
(ChunkerEvaluator) Sentence #762 from 00102696 from sent1

Text  : dzień dobry , xxx , w czym mogę pomóc ?_
Tokens: 1____ 2____ 3 4__ 5 6 7___ 8___ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #763 from 00102696 from sent2

Text  : FILLER dzień dobry , eskaemka ten piętnasta czterdzieści coś FILLER z_ którego peronu ono odjeżdża z_ Centrum ?_
Tokens: 1_____ 2____ 3____ 4 5_______ 6__ 7________ 8___________ 9__ 10____ 11 12_____ 13____ 14_ 15______ 16 17_____ 18

Chunks:
  FalsePositive nam [17,17] = Centrum (confidence=0.66) (incorrect boundry)

(ChunkerEvaluator) Sentence #764 from 00102696 from sent3

Text  : . . .
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #765 from 00102696 from sent4

Text  : proszę pana , on odjeżdża ze Śródmieścia . . ._
Tokens: 1_____ 2___ 3 4_ 5_______ 6_ 7__________ 8 9 10

Chunks:
  TruePositive nam [7,7] = Śródmieścia (confidence=0.94)

(ChunkerEvaluator) Sentence #766 from 00102696 from sent5

Text  : a to one nie odjeżdżają z Centrum w ogóle ?_
Tokens: 1 2_ 3__ 4__ 5_________ 6 7______ 8 9____ 10

Chunks:
  FalsePositive nam [7,7] = Centrum (confidence=0.81) (incorrect boundry)

(ChunkerEvaluator) Sentence #767 from 00102696 from sent6

Text  : nie no z przystanku ze stacji Śródmieście odjeżdżają już od ponad dwóch miesięcy ._ ._ ._
Tokens: 1__ 2_ 3 4_________ 5_ 6_____ 7__________ 8_________ 9__ 10 11___ 12___ 13______ 14 15 16

Chunks:
  TruePositive nam [7,7] = Śródmieście (confidence=0.99)

(ChunkerEvaluator) Sentence #768 from 00102696 from sent7

Text  : FILLER a gdzie to , matko , gdzie to jest to Śródmieście bo FILLER
Tokens: 1_____ 2 3____ 4_ 5 6____ 7 8____ 9_ 10__ 11 12_________ 13 14____

Chunks:
  TruePositive nam [12,12] = Śródmieście (confidence=0.96)

(ChunkerEvaluator) Sentence #769 from 00102696 from sent8

Text  : Śródmieście jest obok Dworca Centralnego . . .
Tokens: 1__________ 2___ 3___ 4_____ 5__________ 6 7 8

Chunks:
  TruePositive nam [4,5] = Dworca Centralnego (confidence=0.97)
  FalseNegative nam [1,1] = Śródmieście

(ChunkerEvaluator) Sentence #770 from 00102696 from sent9

Text  : FILLER jest przejście przez perony
Tokens: 1_____ 2___ 3________ 4____ 5_____

Chunks:

(ChunkerEvaluator) Sentence #771 from 00102696 from sent10

Text  : aha , no
Tokens: 1__ 2 3_

Chunks:

(ChunkerEvaluator) Sentence #772 from 00102696 from sent11

Text  : dobrze
Tokens: 1_____

Chunks:

(ChunkerEvaluator) Sentence #773 from 00102696 from sent12

Text  : trze
Tokens: 1___

Chunks:

(ChunkerEvaluator) Sentence #774 from 00102696 from sent13

Text  : peronami w kierunku w kierunku Centrum iść i będą i_ będzie przejście na __ __ __ Dworzec FILLER Śródmieście
Tokens: 1_______ 2 3_______ 4 5_______ 6______ 7__ 8 9___ 10 11____ 12_______ 13 14 15 16 17_____ 18____ 19_________

Chunks:
  FalsePositive nam [6,6] = Centrum (confidence=0.60) (incorrect boundry)
  FalsePositive nam [19,19] = Śródmieście (confidence=0.76) (incorrect boundry)
  FalseNegative nam [17,19] = Dworzec FILLER Śródmieście

(ChunkerEvaluator) Sentence #775 from 00102696 from sent14

Text  : a nim _ _ _ piętnasta czterdzieści ile _ __ __ dokładnie ten pociąg ?_
Tokens: 1 2__ 3 4 5 6________ 7___________ 8__ 9 10 11 12_______ 13_ 14____ 15

Chunks:

(ChunkerEvaluator) Sentence #776 from 00102696 from sent15

Text  : FILLER w którym kierunku ?
Tokens: 1_____ 2 3_____ 4_______ 5

Chunks:

(ChunkerEvaluator) Sentence #777 from 00102696 from sent16

Text  : FILLER w kierunku Ursusa . . .
Tokens: 1_____ 2 3_______ 4_____ 5 6 7

Chunks:
  TruePositive nam [4,4] = Ursusa (confidence=0.99)

(ChunkerEvaluator) Sentence #778 from 00102696 from sent17

Text  : dokładnie piętnasta czterdzieści ze Śródmieścia
Tokens: 1________ 2________ 3___________ 4_ 5__________

Chunks:
  TruePositive nam [5,5] = Śródmieścia (confidence=0.95)

(ChunkerEvaluator) Sentence #779 from 00102696 from sent18

Text  : a następny o której jest ?
Tokens: 1 2_______ 3 4_____ 5___ 6

Chunks:

(ChunkerEvaluator) Sentence #780 from 00102696 from sent19

Text  : szesnasta zero trzy
Tokens: 1________ 2___ 3___

Chunks:

(ChunkerEvaluator) Sentence #781 from 00102696 from sent20

Text  : szesnasta zero trzy dobrze dziękuję bardzo
Tokens: 1________ 2___ 3___ 4_____ 5_______ 6_____

Chunks:

(ChunkerEvaluator) Sentence #782 from 00102696 from sent21

Text  : bardzo
Tokens: 1_____

Chunks:

2017-06-14 20:31:38,526 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 49 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102699.xml
(ChunkerEvaluator) Sentence #783 from 00102699 from sent1

Text  : dzień dobry , xxx , w czym mogę pomóc ?_
Tokens: 1____ 2____ 3 4__ 5 6 7___ 8___ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #784 from 00102699 from sent2

Text  : dzień dobry , powiedział by mi pan , o której jest teraz FILLER autobus sto dwa FILLER z_ przystanku Orzeł chyba
Tokens: 1____ 2____ 3 4_________ 5_ 6_ 7__ 8 9 10____ 11__ 12___ 13____ 14_____ 15_ 16_ 17____ 18 19________ 20___ 21___

Chunks:
  TruePositive nam [20,20] = Orzeł (confidence=1.00)

(ChunkerEvaluator) Sentence #785 from 00102699 from sent3

Text  : tam z R K S
Tokens: 1__ 2 3 4 5

Chunks:
  TruePositive nam [3,5] = R K S (confidence=1.00)

(ChunkerEvaluator) Sentence #786 from 00102699 from sent4

Text  : R C S Orzeł coś tam w stronę Śródmieścia ._ ._ ._
Tokens: 1 2 3 4____ 5__ 6__ 7 8_____ 9__________ 10 11 12

Chunks:
  TruePositive nam [1,4] = R C S Orzeł (confidence=0.67)
  TruePositive nam [9,9] = Śródmieścia (confidence=0.99)

(ChunkerEvaluator) Sentence #787 from 00102699 from sent5

Text  : najbliższy odjazd będzie o godzinie trzynastej dwadzieścia osiem
Tokens: 1_________ 2_____ 3_____ 4 5_______ 6_________ 7__________ 8____

Chunks:

(ChunkerEvaluator) Sentence #788 from 00102699 from sent6

Text  : następny ?
Tokens: 1_______ 2

Chunks:

(ChunkerEvaluator) Sentence #789 from 00102699 from sent7

Text  : czterdzieści cztery
Tokens: 1___________ 2_____

Chunks:

(ChunkerEvaluator) Sentence #790 from 00102699 from sent8

Text  : dziękuję
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #791 from 00102699 from sent9

Text  : bardzo do widzenia
Tokens: 1_____ 2_ 3_______

Chunks:

(ChunkerEvaluator) Sentence #792 from 00102699 from sent10

Text  : proszę bardzo
Tokens: 1_____ 2_____

Chunks:

(ChunkerEvaluator) Sentence #793 from 00102699 from sent11

Text  : do usłyszenia
Tokens: 1_ 2_________

Chunks:

2017-06-14 20:31:38,545 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 50 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103574.xml
(ChunkerEvaluator) Sentence #794 from 00103574 from sent1

Text  : Miała m nadzieję , że nasze dzieci będą tu chrzczone ,_ pójdą do pierwszej komunii …_
Tokens: 1____ 2 3_______ 4 5_ 6____ 7_____ 8___ 9_ 10_______ 11 12___ 13 14_______ 15_____ 16

Chunks:

(ChunkerEvaluator) Sentence #795 from 00103574 from sent2

Text  : Nie udało się .
Tokens: 1__ 2____ 3__ 4

Chunks:

(ChunkerEvaluator) Sentence #796 from 00103574 from sent3

Text  : Może , gdyby śmy mieszkali w Polsce ?
Tokens: 1___ 2 3____ 4__ 5________ 6 7_____ 8

Chunks:
  TruePositive nam [7,7] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #797 from 00103574 from sent4

Text  : Wiedziała by m do jakiego lekarza pójść .
Tokens: 1________ 2_ 3 4_ 5______ 6______ 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #798 from 00103574 from sent5

Text  : Wszystko było trudne do ogarnięcia .
Tokens: 1_______ 2___ 3_____ 4_ 5_________ 6

Chunks:

(ChunkerEvaluator) Sentence #799 from 00103574 from sent6

Text  : Niby tak blisko , niby tak podobny język , a_ jednak ludzie zupełnie inni ._
Tokens: 1___ 2__ 3_____ 4 5___ 6__ 7______ 8____ 9 10 11____ 12____ 13______ 14__ 15

Chunks:

(ChunkerEvaluator) Sentence #800 from 00103574 from sent7

Text  : Kiedy zdecydowali śmy się na ślub , była m pewna ,_ że dam sobie radę ._
Tokens: 1____ 2__________ 3__ 4__ 5_ 6___ 7 8___ 9 10___ 11 12 13_ 14___ 15__ 16

Chunks:

(ChunkerEvaluator) Sentence #801 from 00103574 from sent8

Text  : Byli śmy tacy młodzi !
Tokens: 1___ 2__ 3___ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #802 from 00103574 from sent9

Text  : Poznali śmy się na zlocie młodzieży w Dreźnie .
Tokens: 1______ 2__ 3__ 4_ 5_____ 6________ 7 8______ 9

Chunks:
  TruePositive nam [8,8] = Dreźnie (confidence=1.00)

(ChunkerEvaluator) Sentence #803 from 00103574 from sent10

Text  : Od początku był dla mnie dobry , ciepły , serdeczny ._
Tokens: 1_ 2_______ 3__ 4__ 5___ 6____ 7 8_____ 9 10_______ 11

Chunks:

(ChunkerEvaluator) Sentence #804 from 00103574 from sent11

Text  : Ciągle mnie szukał , dosiadał się na stołówce .
Tokens: 1_____ 2___ 3_____ 4 5_______ 6__ 7_ 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #805 from 00103574 from sent12

Text  : Chodzili śmy na długie spacery , trzymając się za ręce ._
Tokens: 1_______ 2__ 3_ 4_____ 5______ 6 7________ 8__ 9_ 10__ 11

Chunks:

(ChunkerEvaluator) Sentence #806 from 00103574 from sent13

Text  : Rozmawiali śmy tylko po rosyjsku , on po olimpiadzie ,_ ja ledwie dukała m_ ._
Tokens: 1_________ 2__ 3____ 4_ 5_______ 6 7_ 8_ 9__________ 10 11 12____ 13____ 14 15

Chunks:

(ChunkerEvaluator) Sentence #807 from 00103574 from sent14

Text  : Na wieczorze pożegnalnym płakał .
Tokens: 1_ 2________ 3__________ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #808 from 00103574 from sent15

Text  : Łzy ciekły mu jak grochy .
Tokens: 1__ 2_____ 3_ 4__ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #809 from 00103574 from sent16

Text  : Wymienili śmy się adresami , nie potrafił nawet wymówić poprawnie :_ Szczecin ._
Tokens: 1________ 2__ 3__ 4_______ 5 6__ 7_______ 8____ 9______ 10_______ 11 12______ 13

Chunks:
  TruePositive nam [12,12] = Szczecin (confidence=0.96)

(ChunkerEvaluator) Sentence #810 from 00103574 from sent17

Text  : Był taki wytrwały !
Tokens: 1__ 2___ 3_______ 4

Chunks:

(ChunkerEvaluator) Sentence #811 from 00103574 from sent18

Text  : Pisał do mnie co tydzień , ale ja nie wierzyła m_ ,_ że coś z_ tego będzie ,_ nie wierzyła m_ wcale ._
Tokens: 1____ 2_ 3___ 4_ 5______ 6 7__ 8_ 9__ 10______ 11 12 13 14_ 15 16__ 17____ 18 19_ 20______ 21 22___ 23

Chunks:

(ChunkerEvaluator) Sentence #812 from 00103574 from sent19

Text  : Żeby być razem musieli śmy wziąć ślub , nie mógł mnie zameldować u_ siebie ,_ nie mogła m_ u_ niego mieszkać bez papierów ._
Tokens: 1___ 2__ 3____ 4______ 5__ 6____ 7___ 8 9__ 10__ 11__ 12________ 13 14____ 15 16_ 17___ 18 19 20___ 21______ 22_ 23______ 24

Chunks:

(ChunkerEvaluator) Sentence #813 from 00103574 from sent20

Text  : Mama była zła , że nie pójdę na studia ._
Tokens: 1___ 2___ 3__ 4 5_ 6__ 7____ 8_ 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #814 from 00103574 from sent21

Text  : Obiecała m , że pójdę , jak nauczę się języka ,_ ale potem …_
Tokens: 1_______ 2 3 4_ 5____ 6 7__ 8_____ 9__ 10____ 11 12_ 13___ 14

Chunks:

(ChunkerEvaluator) Sentence #815 from 00103574 from sent22

Text  : Nie było czasu . .
Tokens: 1__ 2___ 3____ 4 5

Chunks:

(ChunkerEvaluator) Sentence #816 from 00103574 from sent23

Text  : Ślub wzięli śmy w Pradze .
Tokens: 1___ 2_____ 3__ 4 5_____ 6

Chunks:
  TruePositive nam [5,5] = Pradze (confidence=0.99)

(ChunkerEvaluator) Sentence #817 from 00103574 from sent24

Text  : Nie chcieli śmy kościelnego , bała m się .
Tokens: 1__ 2______ 3__ 4__________ 5 6___ 7 8__ 9

Chunks:

(ChunkerEvaluator) Sentence #818 from 00103574 from sent25

Text  : Cywilny można zawsze anulować , tłumaczyła m mamie , kręciła głową –_ jak możesz brać ślub myśląc od razu o_ rozwodzie ?_
Tokens: 1______ 2____ 3_____ 4_______ 5 6_________ 7 8____ 9 10_____ 11___ 12 13_ 14____ 15__ 16__ 17____ 18 19__ 20 21_______ 22

Chunks:

(ChunkerEvaluator) Sentence #819 from 00103574 from sent26

Text  : Wyszli śmy z Ratusza na Starym Rynku , wpadli śmy w_ tłum turystów ._
Tokens: 1_____ 2__ 3 4______ 5_ 6_____ 7____ 8 9_____ 10_ 11 12__ 13______ 14

Chunks:
  TruePositive nam [4,4] = Ratusza (confidence=0.96)
  FalsePositive nam [7,7] = Rynku (confidence=0.69) (incorrect boundry)
  FalseNegative nam [6,7] = Starym Rynku

(ChunkerEvaluator) Sentence #820 from 00103574 from sent27

Text  : Robiono nam zdjęcia pod zegarem , turyści też pstrykali ,_ ciekawe w_ ilu albumach jestem w_ białej sukience ?_
Tokens: 1______ 2__ 3______ 4__ 5______ 6 7______ 8__ 9________ 10 11_____ 12 13_ 14______ 15____ 16 17____ 18______ 19

Chunks:

(ChunkerEvaluator) Sentence #821 from 00103574 from sent28

Text  : No i nie rozwiedli śmy się , pisała m listy do mamy ,_ a_ potem mama zmarła ._
Tokens: 1_ 2 3__ 4________ 5__ 6__ 7 8_____ 9 10___ 11 12__ 13 14 15___ 16__ 17____ 18

Chunks:

(ChunkerEvaluator) Sentence #822 from 00103574 from sent29

Text  : Zupełnie z dnia na dzień przestała być .
Tokens: 1_______ 2 3___ 4_ 5____ 6________ 7__ 8

Chunks:

(ChunkerEvaluator) Sentence #823 from 00103574 from sent30

Text  : Jeden jedyny raz pojechali śmy wtedy do Szczecina .
Tokens: 1____ 2_____ 3__ 4________ 5__ 6____ 7_ 8________ 9

Chunks:
  TruePositive nam [8,8] = Szczecina (confidence=1.00)

(ChunkerEvaluator) Sentence #824 from 00103574 from sent31

Text  : Niedługo potem pochowali śmy naszego synka i już więcej nie udało mi się być w_ ciąży ._
Tokens: 1_______ 2____ 3________ 4__ 5______ 6____ 7 8__ 9_____ 10_ 11___ 12 13_ 14_ 15 16___ 17

Chunks:

2017-06-14 20:31:38,641 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 51 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103588.xml
(ChunkerEvaluator) Sentence #825 from 00103588 from sent1

Text  : Kiedy granitowa płyta z głuchym stuknięciem opadła na betonową klatkę grobowca ,_ mój wzrok rozsunął ziemię i_ zobaczył em tysiące boksów ułożonych obok siebie ,_ a_ w_ każdym z_ nich jednego człowieka ,_ jak w_ Single Club ._
Tokens: 1____ 2________ 3____ 4 5______ 6__________ 7_____ 8_ 9_______ 10____ 11______ 12 13_ 14___ 15______ 16____ 17 18______ 19 20_____ 21____ 22_______ 23__ 24____ 25 26 27 28____ 29 30__ 31_____ 32_______ 33 34_ 35 36____ 37__ 38

Chunks:
  TruePositive nam [36,37] = Single Club (confidence=0.99)

(ChunkerEvaluator) Sentence #826 from 00103588 from sent2

Text  : Różnica była jednak ogromna .
Tokens: 1______ 2___ 3_____ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #827 from 00103588 from sent3

Text  : 40 stóp pod Park Avenue , tylko się nam wydawało ,_ że jesteśmy samotni ._
Tokens: 1_ 2___ 3__ 4___ 5_____ 6 7____ 8__ 9__ 10______ 11 12 13______ 14_____ 15

Chunks:
  TruePositive nam [4,5] = Park Avenue (confidence=0.99)

(ChunkerEvaluator) Sentence #828 from 00103588 from sent4

Text  : Prawdziwymi singlami stawali śmy się dopiero w podziemnym klubie usytuowanym tutaj ._
Tokens: 1__________ 2_______ 3______ 4__ 5__ 6______ 7 8_________ 9_____ 10_________ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #829 from 00103588 from sent5

Text  : Tymczasem wciąż nie wystawiono mi wejściówki .
Tokens: 1________ 2____ 3__ 4_________ 5_ 6_________ 7

Chunks:

(ChunkerEvaluator) Sentence #830 from 00103588 from sent6

Text  : Słyszał em dookoła ciche popłakiwanie , głębokie westchnienia i pociągnięcia nosem ,_ tłumione chusteczkami ._
Tokens: 1______ 2_ 3______ 4____ 5___________ 6 7_______ 8___________ 9 10__________ 11___ 12 13______ 14__________ 15

Chunks:

(ChunkerEvaluator) Sentence #831 from 00103588 from sent7

Text  : Dalej nie czuł em tego , co powinien em ._
Tokens: 1____ 2__ 3___ 4_ 5___ 6 7_ 8_______ 9_ 10

Chunks:

(ChunkerEvaluator) Sentence #832 from 00103588 from sent8

Text  : Kiedy oglądał em „ Śmierć na Piątej Alei ” ,_ za każdym razem wzruszał em się ,_ wyobrażając sobie ,_ że kiedy odejdzie ktoś mi bliski ,_ zaczną mnie męczyć wszystkie niewyjaśnione ,_ bolesne sprawy ._
Tokens: 1____ 2______ 3_ 4 5_____ 6_ 7_____ 8___ 9 10 11 12____ 13___ 14______ 15 16_ 17 18_________ 19___ 20 21 22___ 23______ 24__ 25 26____ 27 28____ 29__ 30____ 31_______ 32___________ 33 34_____ 35____ 36

Chunks:
  FalsePositive nam [5,5] = Śmierć (confidence=0.90) (incorrect boundry)
  FalsePositive nam [7,8] = Piątej Alei (confidence=0.70) (incorrect boundry)
  FalseNegative nam [5,8] = Śmierć na Piątej Alei

(ChunkerEvaluator) Sentence #833 from 00103588 from sent9

Text  : Mylił em się .
Tokens: 1____ 2_ 3__ 4

Chunks:

(ChunkerEvaluator) Sentence #834 from 00103588 from sent10

Text  : Nory już nie było , a ja spokojnie robił em zdjęcia ceremonii ._
Tokens: 1___ 2__ 3__ 4___ 5 6 7_ 8________ 9____ 10 11_____ 12_______ 13

Chunks:
  TruePositive nam [1,1] = Nory (confidence=0.83)

(ChunkerEvaluator) Sentence #835 from 00103588 from sent11

Text  : Przyglądał em się grabarzom , szarym chmurom nad New Jersey ,_ a_ przede wszystkim pogrzebowym gościom ,_ zastanawiając się ,_ który spośród nich może być wysłannikiem UGI ._
Tokens: 1_________ 2_ 3__ 4________ 5 6_____ 7______ 8__ 9__ 10____ 11 12 13____ 14_______ 15_________ 16_____ 17 18___________ 19_ 20 21___ 22_____ 23__ 24__ 25_ 26__________ 27_ 28

Chunks:
  TruePositive nam [9,10] = New Jersey (confidence=0.90)
  TruePositive nam [27,27] = UGI (confidence=1.00)

(ChunkerEvaluator) Sentence #836 from 00103588 from sent12

Text  : Po kilku zdaniach pożegnalnej mowy Marka , ostatniego męża Nory ,_ katolicki ksiądz zakończył uroczystość ,_ pobłogosławił zebranych i_ odszedł z_ ministrantami w_ kierunku cmentarnej kaplicy ._
Tokens: 1_ 2____ 3_______ 4__________ 5___ 6____ 7 8_________ 9___ 10__ 11 12_______ 13____ 14_______ 15_________ 16 17___________ 18_______ 19 20_____ 21 22___________ 23 24______ 25________ 26_____ 27

Chunks:
  TruePositive nam [6,6] = Marka (confidence=1.00)
  TruePositive nam [10,10] = Nory (confidence=1.00)

(ChunkerEvaluator) Sentence #837 from 00103588 from sent13

Text  : Wszyscy zaczęli składać na grobie kwiaty i wieńce , a_ potem ustawili się w_ kondolencyjnej kolejce ._
Tokens: 1______ 2______ 3______ 4_ 5_____ 6_____ 7 8_____ 9 10 11___ 12______ 13_ 14 15____________ 16_____ 17

Chunks:

(ChunkerEvaluator) Sentence #838 from 00103588 from sent14

Text  : Przed ceremonią Mark chciał , żeby m stanął obok niego i_ rodziców zmarłej ,_ ale nie przyjął em wyróżnienia ._
Tokens: 1____ 2________ 3___ 4_____ 5 6___ 7 8_____ 9___ 10___ 11 12______ 13_____ 14 15_ 16_ 17_____ 18 19_________ 20

Chunks:
  TruePositive nam [3,3] = Mark (confidence=1.00)

(ChunkerEvaluator) Sentence #839 from 00103588 from sent15

Text  : Dobrze , że Nora nie opisała w testamencie wszystkiego ,_ co należy uczynić w_ związku z_ jej odejściem ._
Tokens: 1_____ 2 3_ 4___ 5__ 6______ 7 8__________ 9__________ 10 11 12____ 13_____ 14 15_____ 16 17_ 18_______ 19

Chunks:
  TruePositive nam [4,4] = Nora (confidence=1.00)

(ChunkerEvaluator) Sentence #840 from 00103588 from sent16

Text  : I tak mieli śmy dużo problemów z wypełnieniem jej ostatniej woli ,_ którą konstruowała na raty ._
Tokens: 1 2__ 3____ 4__ 5___ 6________ 7 8___________ 9__ 10_______ 11__ 12 13___ 14__________ 15 16__ 17

Chunks:

(ChunkerEvaluator) Sentence #841 from 00103588 from sent17

Text  : Wszystko zaczęło się od rutynowego pomiaru ciśnienia krwi .
Tokens: 1_______ 2______ 3__ 4_ 5_________ 6______ 7________ 8___ 9

Chunks:

(ChunkerEvaluator) Sentence #842 from 00103588 from sent18

Text  : Było zdecydowanie za wysokie .
Tokens: 1___ 2___________ 3_ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #843 from 00103588 from sent19

Text  : Kiedy lekarz zbadał pacjentkę dokładnie , okazało się , że jest poważnie zagrożona zawałem serca ,_ co przy jej niedowadze i_ super zdrowym odżywianiu wydało się zaprzeczać istnieniu jakiejkolwiek sprawiedliwości ._
Tokens: 1____ 2_____ 3_____ 4________ 5________ 6 7______ 8__ 9 10 11__ 12______ 13_______ 14_____ 15___ 16 17 18__ 19_ 20________ 21 22___ 23_____ 24________ 25____ 26_ 27________ 28_______ 29___________ 30_____________ 31

Chunks:

(ChunkerEvaluator) Sentence #844 from 00103588 from sent20

Text  : Lekarz nie dramatyzował , lecz Nora niczego nie zostawiała przypadkowi ._
Tokens: 1_____ 2__ 3___________ 4 5___ 6___ 7______ 8__ 9_________ 10_________ 11

Chunks:
  TruePositive nam [6,6] = Nora (confidence=0.99)

(ChunkerEvaluator) Sentence #845 from 00103588 from sent21

Text  : Było jasne , że szczególnie w tak fundamentalnym zagadnieniu jak życie pozagrobowe niczego nie zaniedba i_ zawczasu zajmie się zwiększaniem swoich szans na zbawienie ._
Tokens: 1___ 2____ 3 4_ 5__________ 6 7__ 8_____________ 9__________ 10_ 11___ 12_________ 13_____ 14_ 15______ 16 17______ 18____ 19_ 20__________ 21____ 22___ 23 24_______ 25

Chunks:

(ChunkerEvaluator) Sentence #846 from 00103588 from sent22

Text  : Z jej testamentu wynikało , że ode mnie również wymaga zaangażowania w_ tej sprawie ._
Tokens: 1 2__ 3_________ 4_______ 5 6_ 7__ 8___ 9______ 10____ 11___________ 12 13_ 14_____ 15

Chunks:

(ChunkerEvaluator) Sentence #847 from 00103588 from sent23

Text  : Opisała wszystko dokładnie i zaskakująco szczerze .
Tokens: 1______ 2_______ 3________ 4 5__________ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #848 from 00103588 from sent24

Text  : Przez całe dorosłe życie Nora kogoś naśladowała i jej skrywanym marzeniem było zapoczątkować coś ,_ co na zawsze będzie kojarzone wyłącznie z_ jej imieniem ._
Tokens: 1____ 2___ 3______ 4____ 5___ 6____ 7__________ 8 9__ 10_______ 11_______ 12__ 13___________ 14_ 15 16 17 18____ 19____ 20_______ 21_______ 22 23_ 24______ 25

Chunks:
  TruePositive nam [5,5] = Nora (confidence=0.64)

(ChunkerEvaluator) Sentence #849 from 00103588 from sent25

Text  : Oddana propagatorka cudzych trendów , pragnęła chociaż po śmierci być kopiowana przez innych ._
Tokens: 1_____ 2___________ 3______ 4______ 5 6_______ 7______ 8_ 9______ 10_ 11_______ 12___ 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #850 from 00103588 from sent26

Text  : W tym celu postanowiła wykorzystać swoją słabość , którą była jej religijna chwiejność ._
Tokens: 1 2__ 3___ 4__________ 5__________ 6____ 7______ 8 9____ 10__ 11_ 12_______ 13________ 14

Chunks:

(ChunkerEvaluator) Sentence #851 from 00103588 from sent27

Text  : Nora zmieniała wyznanie kilka razy i każdemu oddawała się z_ wielką pasją ,_ podobnie jak mężczyznom swojego życia ._
Tokens: 1___ 2________ 3_______ 4____ 5___ 6 7______ 8_______ 9__ 10 11____ 12___ 13 14______ 15_ 16________ 17_____ 18___ 19

Chunks:
  FalseNegative nam [1,1] = Nora

(ChunkerEvaluator) Sentence #852 from 00103588 from sent28

Text  : Nawet religiom jednak nie była wierna dłużej niż kilka lat ._
Tokens: 1____ 2_______ 3_____ 4__ 5___ 6_____ 7_____ 8__ 9____ 10_ 11

Chunks:

(ChunkerEvaluator) Sentence #853 from 00103588 from sent29

Text  : Od kiedy zaczęła pracę w towarzystwie ubezpieczeniowym , także sobie pragnęła zapewnić pełną asekurację i_ tylko dlatego ,_ że nie chciała sprawiać Markowi zbyt wielu kłopotów ,_ ograniczyła swoje żądania do trzech obrządków pogrzebowych ._
Tokens: 1_ 2____ 3______ 4____ 5 6___________ 7_______________ 8 9____ 10___ 11______ 12______ 13___ 14________ 15 16___ 17_____ 18 19 20_ 21_____ 22______ 23_____ 24__ 25___ 26______ 27 28_________ 29___ 30_____ 31 32____ 33_______ 34__________ 35

Chunks:
  TruePositive nam [23,23] = Markowi (confidence=1.00)

(ChunkerEvaluator) Sentence #854 from 00103588 from sent30

Text  : Wybrała pochówek po żydowsku , ze względu na wyznanie swojej matki ;_ po katolicku z_ szacunku dla ojca Irlandczyka ;_ po protestancku dlatego ,_ że było to jej ostatnie wyznanie ._
Tokens: 1______ 2_______ 3_ 4_______ 5 6_ 7______ 8_ 9_______ 10____ 11___ 12 13 14_______ 15 16______ 17_ 18__ 19_________ 20 21 22__________ 23_____ 24 25 26__ 27 28_ 29______ 30______ 31

Chunks:
  TruePositive nam [19,19] = Irlandczyka (confidence=0.99)

(ChunkerEvaluator) Sentence #855 from 00103588 from sent31

Text  : Zgodnie z wolą Nory , w gazetach ukazały się nekrologi z_ zaproszeniem na trzy cmentarze w_ New Yersey ,_ dość blisko siebie zlokalizowane ,_ by goście nie tracili dużo czasu na przejazdy ,_ jeśli zechcą uczestniczyć we wszystkich ceremoniach ._
Tokens: 1______ 2 3___ 4___ 5 6 7_______ 8______ 9__ 10_______ 11 12__________ 13 14__ 15_______ 16 17_ 18____ 19 20__ 21____ 22____ 23___________ 24 25 26____ 27_ 28_____ 29__ 30___ 31 32_______ 33 34___ 35____ 36__________ 37 38________ 39_________ 40

Chunks:
  TruePositive nam [4,4] = Nory (confidence=1.00)
  TruePositive nam [17,18] = New Yersey (confidence=1.00)

(ChunkerEvaluator) Sentence #856 from 00103588 from sent32

Text  : Na każdy z trzech pogrzebów mieli śmy oddzielną urnę z_ prochem ,_ który wcześniej sprawiedliwie podzielili śmy na kuchennej wadze ._
Tokens: 1_ 2____ 3 4_____ 5________ 6____ 7__ 8________ 9___ 10 11_____ 12 13___ 14_______ 15___________ 16________ 17_ 18 19_______ 20___ 21

Chunks:

(ChunkerEvaluator) Sentence #857 from 00103588 from sent33

Text  : Przesypując Norę łyżką do zupy zastanawiał em się , na ile lat wcześniej ten szary proszek postanowił się ze mną rozwieść ._
Tokens: 1__________ 2___ 3____ 4_ 5___ 6__________ 7_ 8__ 9 10 11_ 12_ 13_______ 14_ 15___ 16_____ 17________ 18_ 19 20_ 21______ 22

Chunks:
  TruePositive nam [2,2] = Norę (confidence=0.84)

(ChunkerEvaluator) Sentence #858 from 00103588 from sent34

Text  : Moja była żona miała tę niezwykle rzadką cechą , która pozwalała jej łączyć spontaniczność i_ planowanie każdego kroku z_ dużym wyprzedzeniem ._
Tokens: 1___ 2___ 3___ 4____ 5_ 6________ 7_____ 8____ 9 10___ 11_______ 12_ 13____ 14____________ 15 16________ 17_____ 18___ 19 20___ 21___________ 22

Chunks:

(ChunkerEvaluator) Sentence #859 from 00103588 from sent35

Text  : Zdawała sobie sprawę , że nie wystarczy zrobić coś oryginalnego -_ ktoś musiał jeszcze zdać z_ tego intrygującą relację ,_ niezbędną do stworzenia legendy ._
Tokens: 1______ 2____ 3_____ 4 5_ 6__ 7________ 8_____ 9__ 10__________ 11 12__ 13____ 14_____ 15__ 16 17__ 18_________ 19_____ 20 21_______ 22 23________ 24_____ 25

Chunks:

(ChunkerEvaluator) Sentence #860 from 00103588 from sent36

Text  : Nora nie chciała dołączyć do anonimowego tłumu , którzy nieprzerwanie maszeruje równym krokiem w_ zaświaty ._
Tokens: 1___ 2__ 3______ 4_______ 5_ 6__________ 7____ 8 9_____ 10___________ 11_______ 12____ 13_____ 14 15______ 16

Chunks:
  FalseNegative nam [1,1] = Nora

2017-06-14 20:31:38,814 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 52 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103589.xml
(ChunkerEvaluator) Sentence #861 from 00103589 from sent1

Text  : Mam już tego dość !
Tokens: 1__ 2__ 3___ 4___ 5

Chunks:

(ChunkerEvaluator) Sentence #862 from 00103589 from sent2

Text  : - rozdarł się Dan - Rozumiesz ? !
Tokens: 1 2______ 3__ 4__ 5 6________ 7 8

Chunks:
  TruePositive nam [4,4] = Dan (confidence=1.00)

(ChunkerEvaluator) Sentence #863 from 00103589 from sent3

Text  : Mam dość !
Tokens: 1__ 2___ 3

Chunks:

(ChunkerEvaluator) Sentence #864 from 00103589 from sent4

Text  : Nikt mi więcej nie będzie mówił , co mam robić ._
Tokens: 1___ 2_ 3_____ 4__ 5_____ 6____ 7 8_ 9__ 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #865 from 00103589 from sent5

Text  : Ani ty , ani ona !
Tokens: 1__ 2_ 3 4__ 5__ 6

Chunks:

(ChunkerEvaluator) Sentence #866 from 00103589 from sent6

Text  : Dan znalazł naboje i próbował je załadować , ale trzęsły mu się ręce i_ pociski spadały na podłogę ,_ jeden po drugim ._
Tokens: 1__ 2______ 3_____ 4 5_______ 6_ 7________ 8 9__ 10_____ 11 12_ 13__ 14 15_____ 16_____ 17 18_____ 19 20___ 21 22____ 23

Chunks:
  TruePositive nam [1,1] = Dan (confidence=0.75)

(ChunkerEvaluator) Sentence #867 from 00103589 from sent7

Text  : Nie czekałem dłużej .
Tokens: 1__ 2_______ 3_____ 4

Chunks:

(ChunkerEvaluator) Sentence #868 from 00103589 from sent8

Text  : Dan był ode mnie dużo większy i mogło by mi się nie udać obezwładnić go ._
Tokens: 1__ 2__ 3__ 4___ 5___ 6______ 7 8____ 9_ 10 11_ 12_ 13__ 14_________ 15 16

Chunks:
  TruePositive nam [1,1] = Dan (confidence=0.99)

(ChunkerEvaluator) Sentence #869 from 00103589 from sent9

Text  : Nie wiedział em , czy chce zabić siebie , czy mnie ,_ ale wolał em nie ryzykować ._
Tokens: 1__ 2_______ 3_ 4 5__ 6___ 7____ 8_____ 9 10_ 11__ 12 13_ 14___ 15 16_ 17_______ 18

Chunks:

(ChunkerEvaluator) Sentence #870 from 00103589 from sent10

Text  : Kiedy zabierał em kurtkę z korytarza , jedne z drzwi otworzyły się i_ przez moment zobaczył em Misery ,_ a_ przynajmniej jedną z_ głów hydry sprawującej nadzór nad Danem ._
Tokens: 1____ 2_______ 3_ 4_____ 5 6________ 7 8____ 9 10___ 11_______ 12_ 13 14___ 15____ 16______ 17 18____ 19 20 21__________ 22___ 23 24__ 25___ 26_________ 27____ 28_ 29___ 30

Chunks:
  TruePositive nam [18,18] = Misery (confidence=0.99)
  TruePositive nam [29,29] = Danem (confidence=0.99)

(ChunkerEvaluator) Sentence #871 from 00103589 from sent11

Text  : Tak jak w filmie , była tęgą kobietą w średnim wieku ._
Tokens: 1__ 2__ 3 4_____ 5 6___ 7___ 8______ 9 10_____ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #872 from 00103589 from sent12

Text  : Prawdopodobnie słyszała i widziała moją rozmowę ze swoim podopiecznym ._
Tokens: 1_____________ 2_______ 3 4_______ 5___ 6______ 7_ 8____ 9___________ 10

Chunks:

(ChunkerEvaluator) Sentence #873 from 00103589 from sent13

Text  : Jeśli do tej chwili nie próbowała zapobiec temu , co miało się stać ,_ to za chwilę mogł em zginąć ._
Tokens: 1____ 2_ 3__ 4_____ 5__ 6________ 7_______ 8___ 9 10 11___ 12_ 13__ 14 15 16 17____ 18__ 19 20____ 21

Chunks:

(ChunkerEvaluator) Sentence #874 from 00103589 from sent14

Text  : Wychodząc słyszał em co prawda , jak próbuje Dana uspokoić ,_ ale nie był em pewien rezultatu ._
Tokens: 1________ 2______ 3_ 4_ 5_____ 6 7__ 8______ 9___ 10______ 11 12_ 13_ 14_ 15 16____ 17_______ 18

Chunks:
  TruePositive nam [9,9] = Dana (confidence=1.00)

(ChunkerEvaluator) Sentence #875 from 00103589 from sent15

Text  : Wybiegł em z domu , gdy zadzwoniła komórka .
Tokens: 1______ 2_ 3 4___ 5 6__ 7_________ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #876 from 00103589 from sent16

Text  : Wsiadł em do jeepa , włączył em silnik i boksując w_ śniegu ,_ ruszył em w_ kierunku szosy ._
Tokens: 1_____ 2_ 3_ 4____ 5 6______ 7_ 8_____ 9 10______ 11 12____ 13 14____ 15 16 17______ 18___ 19

Chunks:

(ChunkerEvaluator) Sentence #877 from 00103589 from sent17

Text  : Komórka wciąż dzwoniła .
Tokens: 1______ 2____ 3_______ 4

Chunks:

(ChunkerEvaluator) Sentence #878 from 00103589 from sent18

Text  : Nie mogł em odebrać ani nawet spojrzeć na wyświetlacz ,_ kto chce ze mną rozmawiać ._
Tokens: 1__ 2___ 3_ 4______ 5__ 6____ 7_______ 8_ 9__________ 10 11_ 12__ 13 14_ 15_______ 16

Chunks:

(ChunkerEvaluator) Sentence #879 from 00103589 from sent19

Text  : Dzięki temu , że Dan nie zamknął bramy , udało mi się wyjechać z_ zagrody ._
Tokens: 1_____ 2___ 3 4_ 5__ 6__ 7______ 8____ 9 10___ 11 12_ 13______ 14 15_____ 16

Chunks:
  TruePositive nam [5,5] = Dan (confidence=1.00)

(ChunkerEvaluator) Sentence #880 from 00103589 from sent20

Text  : Komórka cały czas dzwoniła .
Tokens: 1______ 2___ 3___ 4_______ 5

Chunks:

(ChunkerEvaluator) Sentence #881 from 00103589 from sent21

Text  : Gdy był em już na szosie , usłyszał em strzał ._
Tokens: 1__ 2__ 3_ 4__ 5_ 6_____ 7 8_______ 9_ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #882 from 00103589 from sent22

Text  : Spojrzał em w lusterko wsteczne .
Tokens: 1_______ 2_ 3 4_______ 5_______ 6

Chunks:

(ChunkerEvaluator) Sentence #883 from 00103589 from sent23

Text  : Nie zauważył em Dana .
Tokens: 1__ 2_______ 3_ 4___ 5

Chunks:
  TruePositive nam [4,4] = Dana (confidence=1.00)

(ChunkerEvaluator) Sentence #884 from 00103589 from sent24

Text  : Jeśli się zabił , był trzecią osobą , która zginęła przeze mnie ,_ ale jeśli żył ,_ celem był em ja ._
Tokens: 1____ 2__ 3____ 4 5__ 6______ 7____ 8 9____ 10_____ 11____ 12__ 13 14_ 15___ 16_ 17 18___ 19_ 20 21 22

Chunks:

(ChunkerEvaluator) Sentence #885 from 00103589 from sent25

Text  : Rozpędzał em się na po prostej drodze , więc mogł em wreszcie odebrać ._
Tokens: 1________ 2_ 3__ 4_ 5_ 6______ 7_____ 8 9___ 10__ 11 12______ 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #886 from 00103589 from sent26

Text  : Miałem dziwne przeczucie , że dzwoni Misery .
Tokens: 1_____ 2_____ 3_________ 4 5_ 6_____ 7_____ 8

Chunks:
  TruePositive nam [7,7] = Misery (confidence=1.00)

(ChunkerEvaluator) Sentence #887 from 00103589 from sent27

Text  : Halo - odezwał em się .
Tokens: 1___ 2 3______ 4_ 5__ 6

Chunks:

(ChunkerEvaluator) Sentence #888 from 00103589 from sent28

Text  : Oskar ?
Tokens: 1____ 2

Chunks:
  TruePositive nam [1,1] = Oskar (confidence=0.69)

(ChunkerEvaluator) Sentence #889 from 00103589 from sent29

Text  : Dlaczego tak długo nie odbierasz ?
Tokens: 1_______ 2__ 3____ 4__ 5________ 6

Chunks:

(ChunkerEvaluator) Sentence #890 from 00103589 from sent30

Text  : - usłyszał em głos mamy .
Tokens: 1 2_______ 3_ 4___ 5___ 6

Chunks:

(ChunkerEvaluator) Sentence #891 from 00103589 from sent31

Text  : Przepraszam , że nie dzwonił em .
Tokens: 1__________ 2 3_ 4__ 5______ 6_ 7

Chunks:

(ChunkerEvaluator) Sentence #892 from 00103589 from sent32

Text  : Wszystkiego najlepszego z okazji urodzin .
Tokens: 1__________ 2__________ 3 4_____ 5______ 6

Chunks:

(ChunkerEvaluator) Sentence #893 from 00103589 from sent33

Text  : To dzisiaj ?
Tokens: 1_ 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #894 from 00103589 from sent34

Text  : - zdziwił em się .
Tokens: 1 2______ 3_ 4__ 5

Chunks:

(ChunkerEvaluator) Sentence #895 from 00103589 from sent35

Text  : Tak .
Tokens: 1__ 2

Chunks:

(ChunkerEvaluator) Sentence #896 from 00103589 from sent36

Text  : Równo 40 lat .
Tokens: 1____ 2_ 3__ 4

Chunks:

(ChunkerEvaluator) Sentence #897 from 00103589 from sent37

Text  : Dla mnie to było jak wczoraj .
Tokens: 1__ 2___ 3_ 4___ 5__ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #898 from 00103589 from sent38

Text  : Żyj w zdrowiu do setki .
Tokens: 1__ 2 3______ 4_ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #899 from 00103589 from sent39

Text  : Może się uda .
Tokens: 1___ 2__ 3__ 4

Chunks:

(ChunkerEvaluator) Sentence #900 from 00103589 from sent40

Text  : Masz jakiś dziwny głos .
Tokens: 1___ 2____ 3_____ 4___ 5

Chunks:

(ChunkerEvaluator) Sentence #901 from 00103589 from sent41

Text  : Co tam u ciebie słychać ?
Tokens: 1_ 2__ 3 4_____ 5______ 6

Chunks:

(ChunkerEvaluator) Sentence #902 from 00103589 from sent42

Text  : Tato miał straszny sen .
Tokens: 1___ 2___ 3_______ 4__ 5

Chunks:

(ChunkerEvaluator) Sentence #903 from 00103589 from sent43

Text  : Wszystko u mnie gra .
Tokens: 1_______ 2 3___ 4__ 5

Chunks:

(ChunkerEvaluator) Sentence #904 from 00103589 from sent44

Text  : Nagle usłyszał em huk , skulił em się gwałtownie i_ niemal stracił em panowanie nad kierownicą ._
Tokens: 1____ 2_______ 3_ 4__ 5 6_____ 7_ 8__ 9_________ 10 11____ 12_____ 13 14_______ 15_ 16________ 17

Chunks:

(ChunkerEvaluator) Sentence #905 from 00103589 from sent45

Text  : Dan trafił w tylną szybę .
Tokens: 1__ 2_____ 3 4____ 5____ 6

Chunks:
  TruePositive nam [1,1] = Dan (confidence=1.00)

(ChunkerEvaluator) Sentence #906 from 00103589 from sent46

Text  : Gwałtownie przyśpieszył em i spojrzał em w lusterko .
Tokens: 1_________ 2___________ 3_ 4 5_______ 6_ 7 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #907 from 00103589 from sent47

Text  : Dan stał ze sztucerem na środku drogi i celował w_ auto ,_ ale zanim strzelił następny raz ,_ wjechał em w_ zakręt ._
Tokens: 1__ 2___ 3_ 4________ 5_ 6_____ 7____ 8 9______ 10 11__ 12 13_ 14___ 15______ 16______ 17_ 18 19_____ 20 21 22____ 23

Chunks:
  TruePositive nam [1,1] = Dan (confidence=0.99)

(ChunkerEvaluator) Sentence #908 from 00103589 from sent48

Text  : Co to był za hałas ?
Tokens: 1_ 2_ 3__ 4_ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #909 from 00103589 from sent49

Text  : - zaniepokoiła się mama .
Tokens: 1 2___________ 3__ 4___ 5

Chunks:

(ChunkerEvaluator) Sentence #910 from 00103589 from sent50

Text  : Nic .
Tokens: 1__ 2

Chunks:

(ChunkerEvaluator) Sentence #911 from 00103589 from sent51

Text  : Stłukł em szklankę .
Tokens: 1_____ 2_ 3_______ 4

Chunks:

(ChunkerEvaluator) Sentence #912 from 00103589 from sent52

Text  : Znowu ? !
Tokens: 1____ 2 3

Chunks:

(ChunkerEvaluator) Sentence #913 from 00103589 from sent53

Text  : Ależ ty jesteś nieostrożny !
Tokens: 1___ 2_ 3_____ 4__________ 5

Chunks:

(ChunkerEvaluator) Sentence #914 from 00103589 from sent54

Text  : Teraz musisz dokładnie zamieść .
Tokens: 1____ 2_____ 3________ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #915 from 00103589 from sent55

Text  : Czy ty tam masz w ogóle w tym Nowym Jorku miotłę ?_
Tokens: 1__ 2_ 3__ 4___ 5 6____ 7 8__ 9____ 10___ 11____ 12

Chunks:
  TruePositive nam [9,10] = Nowym Jorku (confidence=0.70)

(ChunkerEvaluator) Sentence #916 from 00103589 from sent56

Text  : I nie chodź boso po mieszkaniu .
Tokens: 1 2__ 3____ 4___ 5_ 6_________ 7

Chunks:

2017-06-14 20:31:38,946 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 53 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103703.xml
(ChunkerEvaluator) Sentence #917 from 00103703 from sent1

Text  : Dostali pieniądze na styropian
Tokens: 1______ 2________ 3_ 4________

Chunks:

(ChunkerEvaluator) Sentence #918 from 00103703 from sent2

Text  : Ozorków otrzymał trzy i pół miliona złotych z Unii Europejskiej na termomodernizację budynków użyteczności publicznej ._
Tokens: 1______ 2_______ 3___ 4 5__ 6______ 7______ 8 9___ 10__________ 11 12_______________ 13______ 14__________ 15________ 16

Chunks:
  TruePositive nam [7,7] = złotych (confidence=1.00)
  TruePositive nam [9,10] = Unii Europejskiej (confidence=0.99)
  FalseNegative nam [1,1] = Ozorków

(ChunkerEvaluator) Sentence #919 from 00103703 from sent3

Text  : Na 104 wnioski z województwa łódzkiego , złożone do Urzędu Marszałkowskiego w_ Łodzi ,_ projekt Ozorkowa znalazł się na wysokim 10 ._ miejscu ._
Tokens: 1_ 2__ 3______ 4 5__________ 6________ 7 8______ 9_ 10____ 11______________ 12 13___ 14 15_____ 16______ 17_____ 18_ 19 20_____ 21 22 23_____ 24

Chunks:
  TruePositive nam [6,6] = łódzkiego (confidence=0.97)
  TruePositive nam [10,11] = Urzędu Marszałkowskiego (confidence=1.00)
  TruePositive nam [13,13] = Łodzi (confidence=1.00)
  TruePositive nam [16,16] = Ozorkowa (confidence=1.00)

(ChunkerEvaluator) Sentence #920 from 00103703 from sent4

Text  : – Na ocieplenie ścian styropianem i modernizację wewnętrznej sieci ciepłowniczej pieniądze otrzymają :_ Szkoła Podstawowa nr 4_ ,_ oba budynki Szkoły Podstawowej nr 5_ ,_ Miejska Biblioteka Publiczna przy ul ._ Mielczarskiego oraz Urząd Miejski przy ulicach :_ Wigury i_ Listopadowej –_ mówi Izabela Dobrynin z_ ozorkowskiego ratusza ._
Tokens: 1 2_ 3_________ 4____ 5__________ 6 7___________ 8__________ 9____ 10___________ 11_______ 12_______ 13 14____ 15________ 16 17 18 19_ 20_____ 21____ 22_________ 23 24 25 26_____ 27________ 28_______ 29__ 30 31 32____________ 33__ 34___ 35_____ 36__ 37_____ 38 39____ 40 41__________ 42 43__ 44_____ 45______ 46 47___________ 48_____ 49

Chunks:
  TruePositive nam [14,17] = Szkoła Podstawowa nr 4 (confidence=1.00)
  TruePositive nam [21,24] = Szkoły Podstawowej nr 5 (confidence=1.00)
  TruePositive nam [26,28] = Miejska Biblioteka Publiczna (confidence=1.00)
  TruePositive nam [32,32] = Mielczarskiego (confidence=1.00)
  TruePositive nam [34,35] = Urząd Miejski (confidence=1.00)
  TruePositive nam [39,39] = Wigury (confidence=1.00)
  TruePositive nam [41,41] = Listopadowej (confidence=0.88)
  TruePositive nam [44,45] = Izabela Dobrynin (confidence=1.00)

(ChunkerEvaluator) Sentence #921 from 00103703 from sent5

Text  : – W niektórych obiektach prace termomodernizacyjne już się rozpoczęły ,_ wszystkie zostaną zakończone do końca 2011 r_ ._
Tokens: 1 2 3_________ 4________ 5____ 6__________________ 7__ 8__ 9_________ 10 11_______ 12_____ 13________ 14 15___ 16__ 17 18

Chunks:

(ChunkerEvaluator) Sentence #922 from 00103703 from sent6

Text  : Koszt realizacji całego projektu wynosi 4mln 121 tys . zł ._
Tokens: 1____ 2_________ 3_____ 4_______ 5_____ 6___ 7__ 8__ 9 10 11

Chunks:
  TruePositive nam [10,10] = zł (confidence=1.00)

2017-06-14 20:31:38,979 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 54 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103877.xml
(ChunkerEvaluator) Sentence #923 from 00103877 from sent1

Text  : Pieniądz nie sen .
Tokens: 1_______ 2__ 3__ 4

Chunks:

(ChunkerEvaluator) Sentence #924 from 00103877 from sent2

Text  : Pieniądz pachnie brudem .
Tokens: 1_______ 2______ 3_____ 4

Chunks:

(ChunkerEvaluator) Sentence #925 from 00103877 from sent3

Text  : Za pieniądze możesz mieć wszystko .
Tokens: 1_ 2________ 3_____ 4___ 5_______ 6

Chunks:

(ChunkerEvaluator) Sentence #926 from 00103877 from sent4

Text  : Możesz mieć chleb na każdy dzień powszedni , mięso nie tylko w_ niedzielę i_ święta ,_ kawę czarną i_ chrupiące croissanty ,_ czego tylko sobie zażyczysz ,_ człeku marny ._
Tokens: 1_____ 2___ 3____ 4_ 5____ 6____ 7________ 8 9____ 10_ 11___ 12 13_______ 14 15____ 16 17__ 18____ 19 20_______ 21________ 22 23___ 24___ 25___ 26_______ 27 28____ 29___ 30

Chunks:

(ChunkerEvaluator) Sentence #927 from 00103877 from sent5

Text  : Zwłaszcza ten upragniony napój bogów ( bo my ze starym nie jesteśmy wybredni )_ ,_ tę ambrozję nudy ,_ tego rozweselacza dżdżów ,_ pogromcę wymyślnych chmur brunatnych i_ skrupułów dusznych ,_ wybielacza myśli nieczystych ,_ oczyszczalnię prawych kieszeni i_ poborcę mamony ,_ tę upragnioną ciecz niebian piorunowych ,_ przecudny przejrzystości ultraviolet świata ,_ tęczę pijaną kolorów ,_ esencję różowości i_ tego ,_ co na niebiosach i_ ziemi piękne i_ dobre ,_ i_ prawdziwe ._
Tokens: 1________ 2__ 3_________ 4____ 5____ 6 7_ 8_ 9_ 10____ 11_ 12______ 13______ 14 15 16 17______ 18__ 19 20__ 21__________ 22____ 23 24______ 25________ 26___ 27________ 28 29_______ 30______ 31 32________ 33___ 34_________ 35 36___________ 37_____ 38______ 39 40_____ 41____ 42 43 44________ 45___ 46_____ 47_________ 48 49_______ 50____________ 51_________ 52____ 53 54___ 55____ 56_____ 57 58_____ 59_______ 60 61__ 62 63 64 65________ 66 67___ 68____ 69 70___ 71 72 73_______ 74

Chunks:

(ChunkerEvaluator) Sentence #928 from 00103877 from sent6

Text  : Masz pieniądz ?
Tokens: 1___ 2_______ 3

Chunks:

(ChunkerEvaluator) Sentence #929 from 00103877 from sent7

Text  : Co zapragniesz tylko , możesz w gardło lać ! -_ miedź ,_ brąz lub złoto ,_ lub purpurę ,_ szlachetności drzemiące u_ korzeni gór i_ skał ,_ zaś przede wszystkim ten przejrzysty kryształ wzgórzowy ,_ krynicę wzburzoną ,_ ciekącą ,_ wonną ,_ której bezbarwności i_ ciszy wiekuistej każdy porządny przecież pożąda alkoholik ._
Tokens: 1_ 2__________ 3____ 4 5_____ 6 7_____ 8__ 9 10 11___ 12 13__ 14_ 15___ 16 17_ 18_____ 19 20___________ 21_______ 22 23_____ 24_ 25 26__ 27 28_ 29____ 30_______ 31_ 32_________ 33______ 34_______ 35 36_____ 37_______ 38 39_____ 40 41___ 42 43____ 44__________ 45 46___ 47________ 48___ 49______ 50______ 51____ 52_______ 53

Chunks:

(ChunkerEvaluator) Sentence #930 from 00103877 from sent8

Text  : Zaprawdę !
Tokens: 1_______ 2

Chunks:

(ChunkerEvaluator) Sentence #931 from 00103877 from sent9

Text  : Pieniądz nie śmierdzi .
Tokens: 1_______ 2__ 3_______ 4

Chunks:

(ChunkerEvaluator) Sentence #932 from 00103877 from sent10

Text  : Nie jest grzechem łaknąć codziennego chleba i podać kubek wody maluczkim –_ jak na kazaniu zasłyszał em ._
Tokens: 1__ 2___ 3_______ 4_____ 5__________ 6_____ 7 8____ 9____ 10__ 11_______ 12 13_ 14 15_____ 16_______ 17 18

Chunks:

(ChunkerEvaluator) Sentence #933 from 00103877 from sent11

Text  : Nieważne … bo widzę , że jak Konrad improwizuję ._ ._ ._
Tokens: 1_______ 2 3_ 4____ 5 6_ 7__ 8_____ 9__________ 10 11 12

Chunks:
  TruePositive nam [8,8] = Konrad (confidence=1.00)

(ChunkerEvaluator) Sentence #934 from 00103877 from sent12

Text  : Raz w tygodniu zatem , żeby nie przedłużać już ,_ szedł mój ojciec do kolektury i_ trwonił dziewięć najczystszych złotych ._
Tokens: 1__ 2 3_______ 4____ 5 6___ 7__ 8_________ 9__ 10 11___ 12_ 13____ 14 15_______ 16 17_____ 18______ 19___________ 20_____ 21

Chunks:
  FalsePositive nam [20,20] = złotych (confidence=0.83) (incorrect boundry)

(ChunkerEvaluator) Sentence #935 from 00103877 from sent13

Text  : Ale po dwóch miesiącach nastąpiła rewolucja w fabryce , z_ drugiej zmiany przeszedł na trzecią ._
Tokens: 1__ 2_ 3____ 4_________ 5________ 6________ 7 8______ 9 10 11_____ 12____ 13_______ 14 15_____ 16

Chunks:

(ChunkerEvaluator) Sentence #936 from 00103877 from sent14

Text  : Bo zwolnili tego kierownika , z którym ojciec był w_ komitywie ._
Tokens: 1_ 2_______ 3___ 4_________ 5 6 7_____ 8_____ 9__ 10 11_______ 12

Chunks:

(ChunkerEvaluator) Sentence #937 from 00103877 from sent15

Text  : Wszyscy pracownicy co tydzień zmieniali wachtę , a ojciec nigdy ._
Tokens: 1______ 2_________ 3_ 4______ 5________ 6_____ 7 8 9_____ 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #938 from 00103877 from sent16

Text  : Prezes nic nie wiedział , koledzy siedzieli cicho , a_ stary się cieszył ,_ bo lubił sobie długo pospać w_ dzień i_ oglądać telewizję ,_ i_ nie chciał ze mną rozmawiać ,_ a_ ja wychodził em do szkoły ,_ kiedy on spał ,_ i_ wracał em ,_ kiedy był w_ pracy ,_ a_ kiedy zmęczony po wachcie powracał przed północą ,_ ani ja ,_ ani on nie zamieniali śmy zbyt wielu słów prócz sakramentnych :_ „_ Cześć ,_ synu ,_ jak w_ szkole ?_ ”_
Tokens: 1_____ 2__ 3__ 4_______ 5 6______ 7________ 8____ 9 10 11___ 12_ 13_____ 14 15 16___ 17___ 18___ 19____ 20 21___ 22 23_____ 24_______ 25 26 27_ 28____ 29 30_ 31_______ 32 33 34 35_______ 36 37 38____ 39 40___ 41 42__ 43 44 45____ 46 47 48___ 49_ 50 51___ 52 53 54___ 55______ 56 57_____ 58______ 59___ 60_____ 61 62_ 63 64 65_ 66 67_ 68________ 69_ 70__ 71___ 72__ 73___ 74___________ 75 76 77___ 78 79__ 80 81_ 82 83____ 84 85

Chunks:
  FalsePositive nam [77,77] = Cześć (confidence=0.68) (incorrect boundry)

(ChunkerEvaluator) Sentence #939 from 00103877 from sent17

Text  : – „ W porządku , tato ! ” .
Tokens: 1 2 3 4_______ 5 6___ 7 8 9

Chunks:

(ChunkerEvaluator) Sentence #940 from 00103877 from sent18

Text  : I może czasem dwa zdania więcej .
Tokens: 1 2___ 3_____ 4__ 5_____ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #941 from 00103877 from sent19

Text  : Razem jedynie oglądali śmy mecze w szabas .
Tokens: 1____ 2______ 3_______ 4__ 5____ 6 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #942 from 00103877 from sent20

Text  : Ale bez rozmów , jak troglodyci w jaskini neolitu ._
Tokens: 1__ 2__ 3_____ 4 5__ 6_________ 7 8______ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #943 from 00103877 from sent21

Text  : Tak było od śmierci świętej pamięci mamy mojej .
Tokens: 1__ 2___ 3_ 4______ 5______ 6______ 7___ 8____ 9

Chunks:

2017-06-14 20:31:39,085 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 55 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103888.xml
(ChunkerEvaluator) Sentence #944 from 00103888 from sent1

Text  : W załeżności od gatunku zmienia się również kolor bananowej skórki ,_ od zielono -_ żółtego ,_ przez żółty ,_ żółto -_ czerwony aż do ciemnoczerwonego ._
Tokens: 1 2_________ 3_ 4______ 5______ 6__ 7______ 8____ 9________ 10____ 11 12 13_____ 14 15_____ 16 17___ 18___ 19 20___ 21 22______ 23 24 25______________ 26

Chunks:

(ChunkerEvaluator) Sentence #945 from 00103888 from sent2

Text  : Skórka platanów jest zielona i dużo grubsza , a miąższ mączysty i_ biały ._
Tokens: 1_____ 2_______ 3___ 4______ 5 6___ 7______ 8 9 10____ 11______ 12 13___ 14

Chunks:

(ChunkerEvaluator) Sentence #946 from 00103888 from sent3

Text  : Miąższ małych bananów ma przybiera kolor kości słoniowej , a_ ich skórka jest delikatna i_ żółta ._
Tokens: 1_____ 2_____ 3______ 4_ 5________ 6____ 7____ 8________ 9 10 11_ 12____ 13__ 14_______ 15 16___ 17

Chunks:

(ChunkerEvaluator) Sentence #947 from 00103888 from sent4

Text  : Smak platanów i bananów jest słodki , intensywny i perfumowany ,_ platany jednak zawierają mniejszą ilość cukru od surowych bananów ._
Tokens: 1___ 2_______ 3 4______ 5___ 6_____ 7 8_________ 9 10_________ 11 12_____ 13____ 14_______ 15______ 16___ 17___ 18 19______ 20_____ 21

Chunks:

(ChunkerEvaluator) Sentence #948 from 00103888 from sent5

Text  : Niektórzy uważają , że drzewo to , które rośnie we wszystkich kolumbijskich ogrodach ,_ na patiach domów ,_ u_ brzegów ulic i_ w_ każdym wolnym i_ niezabudowanym miejscu w_ mieście „_ nie nadaje się do niczego ”_ ,_ inni twierdzą ,_ że ta cudowna roślina potrafi zabliźniać rany ._
Tokens: 1________ 2______ 3 4_ 5_____ 6_ 7 8____ 9_____ 10 11________ 12___________ 13______ 14 15 16_____ 17___ 18 19 20_____ 21__ 22 23 24____ 25____ 26 27____________ 28_____ 29 30_____ 31 32_ 33____ 34_ 35 36_____ 37 38 39__ 40______ 41 42 43 44_____ 45_____ 46_____ 47________ 48__ 49

Chunks:

(ChunkerEvaluator) Sentence #949 from 00103888 from sent6

Text  : W każdym razie , banany i platany są podstawowym pokarmem i_ składnikiem kolumbijskiej kuchni ._
Tokens: 1 2_____ 3____ 4 5_____ 6 7______ 8_ 9__________ 10______ 11 12_________ 13___________ 14____ 15

Chunks:

(ChunkerEvaluator) Sentence #950 from 00103888 from sent7

Text  : Ich roczne spożycie w Kolumbii wynosi 160 kg na osobę ._
Tokens: 1__ 2_____ 3_______ 4 5_______ 6_____ 7__ 8_ 9_ 10___ 11

Chunks:
  TruePositive nam [5,5] = Kolumbii (confidence=1.00)

(ChunkerEvaluator) Sentence #951 from 00103888 from sent8

Text  : W ostatnich latach , zainteresowanie konsumentów krajów uprzemysłowionych nieskazitelnym wyglądem tzw ._ „_ banana kosmetycznego ”_ powoduje iż poszukuje się bananów o_ konkretnych i_ ściśle określonych wymiarach i_ skórce bez najmniejszej plamki ._
Tokens: 1 2________ 3_____ 4 5______________ 6__________ 7_____ 8________________ 9_____________ 10______ 11_ 12 13 14____ 15___________ 16 17______ 18 19_______ 20_ 21_____ 22 23_________ 24 25____ 26_________ 27_______ 28 29____ 30_ 31__________ 32____ 33

Chunks:

(ChunkerEvaluator) Sentence #952 from 00103888 from sent9

Text  : Taka produkcja realizowana za pomocą wysoce zmodernizowyanch systemów zwraca się ku użyciu ogromnych ilości chemikaliów ._
Tokens: 1___ 2________ 3__________ 4_ 5_____ 6_____ 7_______________ 8_______ 9_____ 10_ 11 12____ 13_______ 14____ 15_________ 16

Chunks:

(ChunkerEvaluator) Sentence #953 from 00103888 from sent10

Text  : Jej rezultatem jest również wyrzucanie do śmieci wielkich ilości bananów ,_ które nie spełniają międzynarodowych norm ._
Tokens: 1__ 2_________ 3___ 4______ 5_________ 6_ 7_____ 8_______ 9_____ 10_____ 11 12___ 13_ 14_______ 15______________ 16__ 17

Chunks:

(ChunkerEvaluator) Sentence #954 from 00103888 from sent11

Text  : Tym , co najlepiej opisuje aktualną sytuację na kolumbijskich plantacjach bananowych ,_ jest cisza ._
Tokens: 1__ 2 3_ 4________ 5______ 6_______ 7_______ 8_ 9____________ 10_________ 11________ 12 13__ 14___ 15

Chunks:

(ChunkerEvaluator) Sentence #955 from 00103888 from sent12

Text  : Zarówno zwierzęta , ptaki i małpki , które zamieszkiwały te regiony uciekają od bananowców ._
Tokens: 1______ 2________ 3 4____ 5 6_____ 7 8____ 9____________ 10 11_____ 12______ 13 14________ 15

Chunks:

(ChunkerEvaluator) Sentence #956 from 00103888 from sent13

Text  : I słusznie !
Tokens: 1 2_______ 3

Chunks:

(ChunkerEvaluator) Sentence #957 from 00103888 from sent14

Text  : W dalszej części , zaprezentuję Wam kilka głównych typów kolumbijskiego banana :_
Tokens: 1 2______ 3_____ 4 5___________ 6__ 7____ 8_______ 9____ 10____________ 11____ 12

Chunks:

(ChunkerEvaluator) Sentence #958 from 00103888 from sent15

Text  : Bocadillo ( kanapeczka ) : zawiera sporą ilość cukru ._
Tokens: 1________ 2 3_________ 4 5 6______ 7____ 8____ 9____ 10

Chunks:
  FalsePositive nam [1,1] = Bocadillo (confidence=0.92) (incorrect boundry)

(ChunkerEvaluator) Sentence #959 from 00103888 from sent16

Text  : Mierzy około 15 cm .
Tokens: 1_____ 2____ 3_ 4_ 5

Chunks:

(ChunkerEvaluator) Sentence #960 from 00103888 from sent17

Text  : Po obraniu , ukazuje się złoto - żółty miąższ ._
Tokens: 1_ 2______ 3 4______ 5__ 6____ 7 8____ 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #961 from 00103888 from sent18

Text  : Skórka tego gatunku bananów jest bardzo cienka i delikatna ,_ należy więc uważać ,_ aby obierając owoc ,_ nie uszkodzić go ._
Tokens: 1_____ 2___ 3______ 4______ 5___ 6_____ 7_____ 8 9________ 10 11____ 12__ 13____ 14 15_ 16_______ 17__ 18 19_ 20_______ 21 22

Chunks:

(ChunkerEvaluator) Sentence #962 from 00103888 from sent19

Text  : Plátano verde ( zielony platan ) : to typ bananów dużo większych od tych żółtych ,_ o_ grubej ,_ zielonej skórze ._
Tokens: 1______ 2____ 3 4______ 5_____ 6 7 8_ 9__ 10_____ 11__ 12_______ 13 14__ 15_____ 16 17 18____ 19 20______ 21____ 22

Chunks:

(ChunkerEvaluator) Sentence #963 from 00103888 from sent20

Text  : Jego rozmiary wahają się od 30 – 50 cm ._
Tokens: 1___ 2_______ 3_____ 4__ 5_ 6_ 7 8_ 9_ 10

Chunks:

(ChunkerEvaluator) Sentence #964 from 00103888 from sent21

Text  : Platany spożywa się na surowo , kiedy są już dojrzałe i_ zmieniają kolor skórki na żółty ._
Tokens: 1______ 2______ 3__ 4_ 5_____ 6 7____ 8_ 9__ 10______ 11 12_______ 13___ 14____ 15 16___ 17

Chunks:

(ChunkerEvaluator) Sentence #965 from 00103888 from sent22

Text  : Można je również ugotować .
Tokens: 1____ 2_ 3______ 4_______ 5

Chunks:

(ChunkerEvaluator) Sentence #966 from 00103888 from sent23

Text  : Morado ( fioletowy platan ) : jego charakterystyczną cechą jest delikatna kombinacja smakowa :_ lekko kwaskowa z_ nutką słodyczy ._
Tokens: 1_____ 2 3________ 4_____ 5 6 7___ 8________________ 9____ 10__ 11_______ 12________ 13_____ 14 15___ 16______ 17 18___ 19______ 20

Chunks:
  FalsePositive nam [1,1] = Morado (confidence=0.93) (incorrect boundry)

(ChunkerEvaluator) Sentence #967 from 00103888 from sent24

Text  : Hartón ( wielki ) : tak określa się duże platany przeznaczone do gotowania ._
Tokens: 1_____ 2 3_____ 4 5 6__ 7______ 8__ 9___ 10_____ 11__________ 12 13_______ 14

Chunks:
  FalsePositive nam [1,1] = Hartón (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #968 from 00103888 from sent25

Text  : Osiągają spore rozmiary i nie są tak słodkie jak pozostałe gatunki pochodzące z_ tej samej rodziny ._
Tokens: 1_______ 2____ 3_______ 4 5__ 6_ 7__ 8______ 9__ 10_______ 11_____ 12________ 13 14_ 15___ 16_____ 17

Chunks:

2017-06-14 20:31:39,190 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 56 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103892.xml
(ChunkerEvaluator) Sentence #969 from 00103892 from sent1

Text  : Nowa gwiazda kolumbijskiego kina jest nie tylko piękna .
Tokens: 1___ 2______ 3_____________ 4___ 5___ 6__ 7____ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #970 from 00103892 from sent2

Text  : Wszystko , co udało jej się osiągnąć , zdobyła dzięki ogromnemu talentowi ._
Tokens: 1_______ 2 3_ 4____ 5__ 6__ 7_______ 8 9______ 10____ 11_______ 12_______ 13

Chunks:

(ChunkerEvaluator) Sentence #971 from 00103892 from sent3

Text  : „ María llena eres de gracia ” ( Mario pełna jesteś gracji )_ jest jej debiutem na kinowym ekranie ._
Tokens: 1 2____ 3____ 4___ 5_ 6_____ 7 8 9____ 10___ 11____ 12____ 13 14__ 15_ 16______ 17 18_____ 19_____ 20

Chunks:
  TruePositive nam [2,6] = María llena eres de gracia (confidence=0.77)
  FalsePositive nam [9,9] = Mario (confidence=0.74) (incorrect boundry)
  FalseNegative nam [9,12] = Mario pełna jesteś gracji

(ChunkerEvaluator) Sentence #972 from 00103892 from sent4

Text  : María Álvarez ( Catalina Sandino Moreno ) to inteligentna i_ odważna 17 –_ latka ,_ żyjąca wspólnie z_ trzema pokoleniami swej rodziny w_ małym domku w_ jednym z_ kolumbijskich miasteczek ,_ która pracuje na plantacji róż ._
Tokens: 1____ 2______ 3 4_______ 5______ 6_____ 7 8_ 9___________ 10 11_____ 12 13 14___ 15 16____ 17______ 18 19____ 20_________ 21__ 22_____ 23 24___ 25___ 26 27____ 28 29___________ 30________ 31 32___ 33_____ 34 35_______ 36_ 37

Chunks:
  TruePositive nam [1,2] = María Álvarez (confidence=1.00)
  TruePositive nam [4,6] = Catalina Sandino Moreno (confidence=1.00)

(ChunkerEvaluator) Sentence #973 from 00103892 from sent5

Text  : Oferta dochodowej pracy , polegającej na przewiezieniu do Stanów Zjednoczonych kokainy we własnym żołądku diametralnie odmienia jej życie ,_ zamieniając ją w_ mulę (_ mula –_ mulica ,_ tak określa się w_ Ameryce Południowej osoby przemycające narkotyki )_ ._
Tokens: 1_____ 2_________ 3____ 4 5__________ 6_ 7____________ 8_ 9_____ 10___________ 11_____ 12 13_____ 14_____ 15__________ 16______ 17_ 18___ 19 20_________ 21 22 23__ 24 25__ 26 27____ 28 29_ 30_____ 31_ 32 33_____ 34_________ 35___ 36__________ 37_______ 38 39

Chunks:
  TruePositive nam [9,10] = Stanów Zjednoczonych (confidence=1.00)
  TruePositive nam [33,34] = Ameryce Południowej (confidence=1.00)

(ChunkerEvaluator) Sentence #974 from 00103892 from sent6

Text  : Dramat tej młodej dziewczyny widoczny jest podczas całego filmu :_ kiedy zostaje wyrzucona z_ pracy w_ typowo trzecioświatowych szklarniach ,_ kiedy rodzina domaga się od niej pieniędzy na utrzymanie siostrzenicy ,_ traktując ją jako źródło dochodu ,_ a_ nie osobę ,_ która pragnie decydować o_ swoim życiu sama ,_ kiedy porzuca ją narzeczony i_ wreszcie kiedy decyduje się połknąć 62 kapsułki z_ kokainą i_ wyruszyć do Ameryki ._
Tokens: 1_____ 2__ 3_____ 4_________ 5_______ 6___ 7______ 8_____ 9____ 10 11___ 12_____ 13_______ 14 15___ 16 17____ 18_______________ 19_________ 20 21___ 22_____ 23____ 24_ 25 26__ 27_______ 28 29________ 30__________ 31 32_______ 33 34__ 35____ 36_____ 37 38 39_ 40___ 41 42___ 43_____ 44_______ 45 46___ 47___ 48__ 49 50___ 51_____ 52 53________ 54 55______ 56___ 57______ 58_ 59_____ 60 61______ 62 63_____ 64 65______ 66 67_____ 68

Chunks:
  TruePositive nam [67,67] = Ameryki (confidence=1.00)

(ChunkerEvaluator) Sentence #975 from 00103892 from sent7

Text  : Catalina Sandino dzięki doskonałej grze aktorskiej uczłowiecza przemytników narkotyków ,_ takich jak María i_ skłania do zastanowienia się nad tym smutnym fenomenem ,_ który jest poważnym problemem społeczno -_ politycznym państwa ,_ jakim jest Kolumbia ._
Tokens: 1_______ 2______ 3_____ 4_________ 5___ 6_________ 7__________ 8___________ 9_________ 10 11____ 12_ 13___ 14 15_____ 16 17___________ 18_ 19_ 20_ 21_____ 22_______ 23 24___ 25__ 26______ 27_______ 28_______ 29 30_________ 31_____ 32 33___ 34__ 35______ 36

Chunks:
  TruePositive nam [1,2] = Catalina Sandino (confidence=0.97)
  TruePositive nam [13,13] = María (confidence=0.98)
  TruePositive nam [35,35] = Kolumbia (confidence=0.99)

(ChunkerEvaluator) Sentence #976 from 00103892 from sent8

Text  : Tym właśnie filmem , ta zaledwie 23 - letnia kolumbijska aktorka dokonała niemożliwego –_ jako jedyna Latynoska zdobyła Nominację do najbardziej prestiżowej nagrody ,_ jaką jest Oscar za hiszpańskojęzyczną rolę ,_ stając w_ jednej linii z_ najbardziej liczącymi się gwiazdami wielkiego ekranu ._
Tokens: 1__ 2______ 3_____ 4 5_ 6_______ 7_ 8 9_____ 10_________ 11_____ 12______ 13__________ 14 15__ 16____ 17_______ 18_____ 19_______ 20 21_________ 22_________ 23_____ 24 25__ 26__ 27___ 28 29________________ 30__ 31 32____ 33 34____ 35___ 36 37_________ 38_______ 39_ 40_______ 41_______ 42____ 43

Chunks:
  TruePositive nam [17,17] = Latynoska (confidence=0.99)
  TruePositive nam [27,27] = Oscar (confidence=0.99)
  FalsePositive nam [19,19] = Nominację (confidence=0.84) (incorrect boundry)

(ChunkerEvaluator) Sentence #977 from 00103892 from sent9

Text  : Ta nominacja spowodowała prawdziwą burzę narodowej dumy .
Tokens: 1_ 2________ 3__________ 4________ 5____ 6________ 7___ 8

Chunks:

(ChunkerEvaluator) Sentence #978 from 00103892 from sent10

Text  : Jest ona bowiem ogromnym , kulturalnym triumfem dla wszystkich Kolumbijczyków ,_ którzy każdego dnia walczą o_ dobre imię swojego kraju ._
Tokens: 1___ 2__ 3_____ 4_______ 5 6__________ 7_______ 8__ 9_________ 10____________ 11 12____ 13_____ 14__ 15____ 16 17___ 18__ 19_____ 20___ 21

Chunks:
  TruePositive nam [10,10] = Kolumbijczyków (confidence=0.99)

(ChunkerEvaluator) Sentence #979 from 00103892 from sent11

Text  : Catalina urodziła się w Bogocie 19 kwietnia 1981 r ._
Tokens: 1_______ 2_______ 3__ 4 5______ 6_ 7_______ 8___ 9 10

Chunks:
  TruePositive nam [1,1] = Catalina (confidence=0.66)
  TruePositive nam [5,5] = Bogocie (confidence=0.96)

(ChunkerEvaluator) Sentence #980 from 00103892 from sent12

Text  : Ukończyła pięcioletnie studia aktorskie w Akademii Rubén Di Pietro w_ stolicy Kolumbii ._
Tokens: 1________ 2___________ 3_____ 4________ 5 6_______ 7____ 8_ 9_____ 10 11_____ 12______ 13

Chunks:
  TruePositive nam [6,9] = Akademii Rubén Di Pietro (confidence=1.00)
  TruePositive nam [12,12] = Kolumbii (confidence=1.00)

(ChunkerEvaluator) Sentence #981 from 00103892 from sent13

Text  : Do roli Maríi Álvarez wybrał ją spośród ponad 800 kandydatek reżyser filmu ,_ Amerykanin ,_ Joshua Marston ._
Tokens: 1_ 2___ 3____ 4______ 5_____ 6_ 7______ 8____ 9__ 10________ 11_____ 12___ 13 14________ 15 16____ 17_____ 18

Chunks:
  TruePositive nam [3,4] = Maríi Álvarez (confidence=1.00)
  TruePositive nam [14,14] = Amerykanin (confidence=1.00)
  TruePositive nam [16,17] = Joshua Marston (confidence=1.00)

2017-06-14 20:31:39,276 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 57 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103901.xml
(ChunkerEvaluator) Sentence #982 from 00103901 from sent1

Text  : Zapiski z podróży – Loma de la Cruz , Valle del Cauca
Tokens: 1______ 2 3______ 4 5___ 6_ 7_ 8___ 9 10___ 11_ 12___

Chunks:
  TruePositive nam [5,8] = Loma de la Cruz (confidence=1.00)
  TruePositive nam [10,12] = Valle del Cauca (confidence=0.77)

(ChunkerEvaluator) Sentence #983 from 00103901 from sent2

Text  : Upalna noc .
Tokens: 1_____ 2__ 3

Chunks:

(ChunkerEvaluator) Sentence #984 from 00103901 from sent3

Text  : Przy świetle Trzech Krzyży stojących na wzgórzu Cali i Księżyca ,_ który w_ tej części świata widziany jest odwrotnie (_ tylko dolna część )_ ,_ wsłuchuję się w_ rytmy boliwijskiej muzyki „_ saya ”_ ._
Tokens: 1___ 2______ 3_____ 4_____ 5________ 6_ 7______ 8___ 9 10______ 11 12___ 13 14_ 15____ 16____ 17______ 18__ 19_______ 20 21___ 22___ 23___ 24 25 26_______ 27_ 28 29___ 30__________ 31____ 32 33__ 34 35

Chunks:
  TruePositive nam [8,8] = Cali (confidence=0.99)
  TruePositive nam [10,10] = Księżyca (confidence=0.69)
  FalsePositive nam [3,4] = Trzech Krzyży (confidence=0.67) (incorrect boundry)

(ChunkerEvaluator) Sentence #985 from 00103901 from sent4

Text  : Obok , dziesiątki młodych ludzi zgromadzonych w ogromnym kole ,_ tańczą na wolnym powietrzu w_ takt andyjskich melodii ,_ które wygrywa :_ gitara ,_ quena ,_ tambor ,_ patas de cabra ,_ charango ,_ zampoña ._
Tokens: 1___ 2 3_________ 4______ 5____ 6____________ 7 8_______ 9___ 10 11____ 12 13____ 14_______ 15 16__ 17________ 18_____ 19 20___ 21_____ 22 23____ 24 25___ 26 27____ 28 29___ 30 31___ 32 33______ 34 35_____ 36

Chunks:

(ChunkerEvaluator) Sentence #986 from 00103901 from sent5

Text  : Tańczą kilkuletnie dzieci i młodzi ludzie .
Tokens: 1_____ 2__________ 3_____ 4 5_____ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #987 from 00103901 from sent6

Text  : Podskakuje nawet tata z niemowlakiem przewiązanym na piersi .
Tokens: 1_________ 2____ 3___ 4 5___________ 6___________ 7_ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #988 from 00103901 from sent7

Text  : Obok mnie , ciemnoskóra mieszkanka Cali sprzedaje obrane chontaduro (_ owoc w_ kształcie serca jedzony z_ solą lub miodem )_ i_ kawałki awokado ._
Tokens: 1___ 2___ 3 4__________ 5_________ 6___ 7________ 8_____ 9_________ 10 11__ 12 13_______ 14___ 15_____ 16 17__ 18_ 19____ 20 21 22_____ 23_____ 24

Chunks:
  TruePositive nam [6,6] = Cali (confidence=0.99)

(ChunkerEvaluator) Sentence #989 from 00103901 from sent8

Text  : Tańczę i ja , pijana powietrzem , upojona muzyką ._ ._ ._
Tokens: 1_____ 2 3_ 4 5_____ 6_________ 7 8______ 9_____ 10 11 12

Chunks:

(ChunkerEvaluator) Sentence #990 from 00103901 from sent9

Text  : Tańczę w indiańskim kole .
Tokens: 1_____ 2 3_________ 4___ 5

Chunks:

2017-06-14 20:31:39,313 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 58 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103917.xml
(ChunkerEvaluator) Sentence #991 from 00103917 from sent1

Text  : Ciekawy koncert .
Tokens: 1______ 2______ 3

Chunks:

(ChunkerEvaluator) Sentence #992 from 00103917 from sent2

Text  : Publiczność znała kawałki zespołu równie dobrze jak on sam ,_ niekiedy więc odchodził tak on wersji oryginalnych tak daleko ,_ że nie mając ich w_ głowie nigdy by się ich nie skojarzyło z_ wersją pierwotną ._
Tokens: 1__________ 2____ 3______ 4______ 5_____ 6_____ 7__ 8_ 9__ 10 11______ 12__ 13_______ 14_ 15 16____ 17__________ 18_ 19____ 20 21 22_ 23___ 24_ 25 26____ 27___ 28 29_ 30_ 31_ 32________ 33 34____ 35_______ 36

Chunks:

(ChunkerEvaluator) Sentence #993 from 00103917 from sent3

Text  : Na przykład , ku mojemu żalowi , Gyere ki a_ hegyoldálra Presser zaledwie wybełkotał nad syntezatorem w_ dodatku najniższym rejestrem swojego głosu ._
Tokens: 1_ 2_______ 3 4_ 5_____ 6_____ 7 8____ 9_ 10 11_________ 12_____ 13______ 14________ 15_ 16__________ 17 18_____ 19________ 20_______ 21_____ 22___ 23

Chunks:
  TruePositive nam [12,12] = Presser (confidence=0.87)
  FalsePositive nam [8,9] = Gyere ki (confidence=0.73) (incorrect boundry)
  FalseNegative nam [8,11] = Gyere ki a hegyoldálra

(ChunkerEvaluator) Sentence #994 from 00103917 from sent4

Text  : Czasem jednak nowe wersje , bywało , że wzbogacone o_ jazzowe improwizacje ,_ brzmiały świetnie ._
Tokens: 1_____ 2_____ 3___ 4_____ 5 6_____ 7 8_ 9_________ 10 11_____ 12__________ 13 14______ 15______ 16

Chunks:

(ChunkerEvaluator) Sentence #995 from 00103917 from sent5

Text  : W sumie połowę mniej więcej utworów Locomotiv , tego dnia w_ składzie dziesięcioosobowym ,_ wykonał tradycyjnie ._
Tokens: 1 2____ 3_____ 4____ 5_____ 6______ 7________ 8 9___ 10__ 11 12______ 13________________ 14 15_____ 16_________ 17

Chunks:
  TruePositive nam [7,7] = Locomotiv (confidence=0.99)

(ChunkerEvaluator) Sentence #996 from 00103917 from sent6

Text  : Ciekawiło mnie jaka publiczność przyjdzie na koncert tych bądź co bądź nieco już wiekowych rockmanów ._
Tokens: 1________ 2___ 3___ 4__________ 5________ 6_ 7______ 8___ 9___ 10 11__ 12___ 13_ 14_______ 15_______ 16

Chunks:

(ChunkerEvaluator) Sentence #997 from 00103917 from sent7

Text  : Wprawdzie Chłopak był chyba najmłodzym uczestnikiem koncertu to jednak pozostali byli w_ większości młodsi lub dużo młodsi od występujących muzyków ._
Tokens: 1________ 2______ 3__ 4____ 5_________ 6___________ 7_______ 8_ 9_____ 10_______ 11__ 12 13________ 14____ 15_ 16__ 17____ 18 19___________ 20_____ 21

Chunks:
  FalsePositive nam [2,2] = Chłopak (confidence=0.80) (incorrect boundry)

(ChunkerEvaluator) Sentence #998 from 00103917 from sent8

Text  : Widać było , że Locomotiv to nie zespół pokoleniowy ,_ są ,_ by uciec się do języka propagandy ,_ skarbem całego narodu ._
Tokens: 1____ 2___ 3 4_ 5________ 6_ 7__ 8_____ 9__________ 10 11 12 13 14___ 15_ 16 17____ 18________ 19 20_____ 21____ 22____ 23

Chunks:
  TruePositive nam [5,5] = Locomotiv (confidence=1.00)

(ChunkerEvaluator) Sentence #999 from 00103917 from sent9

Text  : LGT zawsze mnie urzekał głosami Pressera , Karácsonya i Somló ,_ które niedość ,_ że ciekawe każdy w_ sobie to w_ dodatku świetnie brzmią razem ._
Tokens: 1__ 2_____ 3___ 4______ 5______ 6_______ 7 8_________ 9 10___ 11 12___ 13_____ 14 15 16_____ 17___ 18 19___ 20 21 22_____ 23______ 24____ 25___ 26

Chunks:
  TruePositive nam [6,6] = Pressera (confidence=0.99)
  TruePositive nam [8,8] = Karácsonya (confidence=0.93)
  TruePositive nam [10,10] = Somló (confidence=0.57)
  FalseNegative nam [1,1] = LGT

(ChunkerEvaluator) Sentence #1000 from 00103917 from sent10

Text  : Tym razem do śpiewu włączali się i inni muzycy ,_ którzy mimo ,_ że w_ koncercie brali udział jako instrumentaliści to co do jednego okazali się być obdarzonymi znakomitymi głosami ._
Tokens: 1__ 2____ 3_ 4_____ 5_______ 6__ 7 8___ 9_____ 10 11____ 12__ 13 14 15 16_______ 17___ 18____ 19__ 20______________ 21 22 23 24_____ 25_____ 26_ 27_ 28_________ 29_________ 30_____ 31

Chunks:

(ChunkerEvaluator) Sentence #1001 from 00103917 from sent11

Text  : Odnotowuję to sobie , bo na Węgrzech jest ładnych parę zespołów z_ wysokim o_ sobie mniemanii ,_ w_ których główny wokalista nie umywa się do żadnego z_ tych muzyków ._
Tokens: 1_________ 2_ 3____ 4 5_ 6_ 7_______ 8___ 9______ 10__ 11______ 12 13_____ 14 15___ 16_______ 17 18 19_____ 20____ 21_______ 22_ 23___ 24_ 25 26_____ 27 28__ 29_____ 30

Chunks:
  TruePositive nam [7,7] = Węgrzech (confidence=1.00)

(ChunkerEvaluator) Sentence #1002 from 00103917 from sent12

Text  : Wizulanie nie był to wielki show , mimo skali hali nastrój był miejscami raczej klubowy ._
Tokens: 1________ 2__ 3__ 4_ 5_____ 6___ 7 8___ 9____ 10__ 11_____ 12_ 13_______ 14____ 15_____ 16

Chunks:

(ChunkerEvaluator) Sentence #1003 from 00103917 from sent13

Text  : W tle leciały słajdy i kawałki wideo , oczywiście o_ tematyce kolejowej a_ także nagrania z_ dawnych koncertów ,_ na nieprzesadnym rusztowaniu niekiedy pojawiała się grupa entuzjastycznych tancerzy ._
Tokens: 1 2__ 3______ 4_____ 5 6______ 7____ 8 9_________ 10 11______ 12_______ 13 14___ 15______ 16 17_____ 18_______ 19 20 21___________ 22_________ 23______ 24_______ 25_ 26___ 27______________ 28______ 29

Chunks:

(ChunkerEvaluator) Sentence #1004 from 00103917 from sent14

Text  : Monitory po bokach pokazywały zbliżenia muzyków .
Tokens: 1_______ 2_ 3_____ 4_________ 5________ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #1005 from 00103917 from sent15

Text  : W trakcie koncertu twardy rdzeń grupy ( Pressera , Karácsony i_ Somló )_ przenieśli się na środek Areny ,_ symbolizujący scenę pod gołym niebem na Tabán ,_ gdzie niegdyś regularnie grywali ._
Tokens: 1 2______ 3_______ 4_____ 5____ 6____ 7 8_______ 9 10_______ 11 12___ 13 14________ 15_ 16 17____ 18___ 19 20___________ 21___ 22_ 23___ 24____ 25 26___ 27 28___ 29_____ 30________ 31_____ 32

Chunks:
  TruePositive nam [8,8] = Pressera (confidence=1.00)
  TruePositive nam [10,10] = Karácsony (confidence=0.96)
  TruePositive nam [12,12] = Somló (confidence=0.89)
  TruePositive nam [18,18] = Areny (confidence=0.98)
  TruePositive nam [26,26] = Tabán (confidence=1.00)

(ChunkerEvaluator) Sentence #1006 from 00103917 from sent16

Text  : Odegrali parę utworów po czym wrócili na scenę główną ._
Tokens: 1_______ 2___ 3______ 4_ 5___ 6______ 7_ 8____ 9_____ 10

Chunks:

2017-06-14 20:31:39,398 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 59 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103940.xml
(ChunkerEvaluator) Sentence #1007 from 00103940 from sent1

Text  : W przypadku Fortepan – kolekcji nieopisanych , często prywatnych zdjęć znalezionych przez autorów ,_ pojawia się problem prywatności osób na nich przedstawionych ._
Tokens: 1 2________ 3_______ 4 5_______ 6___________ 7 8_____ 9_________ 10___ 11__________ 12___ 13_____ 14 15_____ 16_ 17_____ 18_________ 19__ 20 21__ 22_____________ 23

Chunks:
  FalsePositive nam [3,3] = Fortepan (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #1008 from 00103940 from sent2

Text  : To tradycyjny problem z dziedzictwem – dyskutowali śmy go również w_ trakcie warsztatu digitalizacyjnego na MediaLabie w_ Chrzelicach :_ przeszkody prawne dla publikowania dziedzictwa z_ sieci wiążą się nie tylko z_ ochroną praw twórców ,_ ale także ochroną praw osób sportretowanych na zdjęciach czy filmach –_ przede wszystkim prawną ochroną wizerunku ,_ obejmujacą wszystkich oprócz osób publicznych ._
Tokens: 1_ 2_________ 3______ 4 5___________ 6 7__________ 8__ 9_ 10_____ 11 12_____ 13_______ 14_______________ 15 16________ 17 18_________ 19 20________ 21____ 22_ 23__________ 24_________ 25 26___ 27___ 28_ 29_ 30___ 31 32_____ 33__ 34_____ 35 36_ 37___ 38_____ 39__ 40__ 41_____________ 42 43_______ 44_ 45_____ 46 47____ 48_______ 49____ 50_____ 51_______ 52 53________ 54________ 55____ 56__ 57_________ 58

Chunks:
  TruePositive nam [16,16] = MediaLabie (confidence=0.99)
  TruePositive nam [18,18] = Chrzelicach (confidence=1.00)

(ChunkerEvaluator) Sentence #1009 from 00103940 from sent3

Text  : Ochrona wizerunku to dla projektów digitalizacji dziedzictwa nie tyle przeszkoda ,_ co raczej barykada ,_ z_ wielkim napisem :_ „_ przejścia nie ma !_ ”_ ._
Tokens: 1______ 2________ 3_ 4__ 5________ 6____________ 7__________ 8__ 9___ 10________ 11 12 13____ 14______ 15 16 17_____ 18_____ 19 20 21_______ 22_ 23 24 25 26

Chunks:

(ChunkerEvaluator) Sentence #1010 from 00103940 from sent4

Text  : Chcąc działać zgodnie z prawem należało by zrezygnować z digitalizacji dowolnych zbiorów ,_ na których widać ludzi (_ pozostają kolekcje obiektów architektonicznych ,_ zdjęć krajobrazowych …_ )_ ._
Tokens: 1____ 2______ 3______ 4 5_____ 6_______ 7_ 8__________ 9 10___________ 11_______ 12_____ 13 14 15_____ 16___ 17___ 18 19_______ 20______ 21______ 22________________ 23 24___ 25____________ 26 27 28

Chunks:

(ChunkerEvaluator) Sentence #1011 from 00103940 from sent5

Text  : Jednocześnie – co wyszło w Chrzelicach – intuicyjnie czuć ,_ że ochrona jest w_ tym wypadku nadmierna ,_ i_ wszyscy szanują prawo nieco na siłę ._
Tokens: 1___________ 2 3_ 4_____ 5 6__________ 7 8__________ 9___ 10 11 12_____ 13__ 14 15_ 16_____ 17_______ 18 19 20_____ 21_____ 22___ 23___ 24 25__ 26

Chunks:
  TruePositive nam [6,6] = Chrzelicach (confidence=1.00)

(ChunkerEvaluator) Sentence #1012 from 00103940 from sent6

Text  : Węgrzy znaleźli rozwiązanie , które bardzo ładnie opisał Jerzy :_ „_ anonimowość przez przedawnienie ”_ ._
Tokens: 1_____ 2_______ 3__________ 4 5____ 6_____ 7_____ 8_____ 9____ 10 11 12_________ 13___ 14___________ 15 16

Chunks:
  TruePositive nam [9,9] = Jerzy (confidence=1.00)
  FalseNegative nam [1,1] = Węgrzy

(ChunkerEvaluator) Sentence #1013 from 00103940 from sent7

Text  : Innymi słowy , ludzie martwi nie będą się martwić o_ swój wizerunek ._
Tokens: 1_____ 2____ 3 4_____ 5_____ 6__ 7___ 8__ 9______ 10 11__ 12_______ 13

Chunks:

(ChunkerEvaluator) Sentence #1014 from 00103940 from sent8

Text  : Oczywiście założenie może okazać się błędne i w każdej chwili jakaś przedstawiona na zdjęciach osoba może zażądać zadośuczynienia ._
Tokens: 1_________ 2________ 3___ 4_____ 5__ 6_____ 7 8 9_____ 10____ 11___ 12___________ 13 14_______ 15___ 16__ 17_____ 18_____________ 19

Chunks:

(ChunkerEvaluator) Sentence #1015 from 00103940 from sent9

Text  : Ale projekt Fortepan dobrze pokazuje , że w imię digitalizacji dziedzictwa trzeba ponosić ryzyko –_ bo nie pozostaje nam nic innego ._
Tokens: 1__ 2______ 3_______ 4_____ 5_______ 6 7_ 8 9___ 10___________ 11_________ 12____ 13_____ 14____ 15 16 17_ 18_______ 19_ 20_ 21____ 22

Chunks:
  FalsePositive nam [3,3] = Fortepan (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #1016 from 00103940 from sent10

Text  : Wartość społeczna płynąca z udostępnienia w postaci cyfrowej zbiorów przerasta wszelkie potencjalne szkody z_ tytułu naruszenia dóbr osobistych ._
Tokens: 1______ 2________ 3______ 4 5____________ 6 7______ 8_______ 9______ 10_______ 11______ 12_________ 13____ 14 15____ 16________ 17__ 18________ 19

Chunks:

(ChunkerEvaluator) Sentence #1017 from 00103940 from sent11

Text  : Bardzo mi się taki pragmatyzm podoba – pytanie jak stworzyć system prawny ,_ który będzie oparty na takim modelu statystycznej szansy –_ a_ nie zero /_ jedynkowego określenia ,_ co wolno ,_ a_ czego nie wolno ._
Tokens: 1_____ 2_ 3__ 4___ 5_________ 6_____ 7 8______ 9__ 10______ 11____ 12____ 13 14___ 15____ 16____ 17 18___ 19____ 20___________ 21____ 22 23 24_ 25__ 26 27_________ 28________ 29 30 31___ 32 33 34___ 35_ 36___ 37

Chunks:

(ChunkerEvaluator) Sentence #1018 from 00103940 from sent12

Text  : ( A może Fortepan to po prostu „ piractwo ”_ ?_ !_ )_
Tokens: 1 2 3___ 4_______ 5_ 6_ 7_____ 8 9_______ 10 11 12 13

Chunks:
  FalsePositive nam [4,4] = Fortepan (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #1019 from 00103940 from sent13

Text  : W ramach Programu Bibliotecznego Fundacji Rozwoju Społeczeństwa Informacyjnego właśnie rusza prowadzony przez Ośrodek Karta projekt Cyfrowych Archiwów Tradycji Lokalnej ._
Tokens: 1 2_____ 3_______ 4_____________ 5_______ 6______ 7____________ 8_____________ 9______ 10___ 11________ 12___ 13_____ 14___ 15_____ 16_______ 17______ 18______ 19______ 20

Chunks:
  TruePositive nam [3,8] = Programu Bibliotecznego Fundacji Rozwoju Społeczeństwa Informacyjnego (confidence=1.00)
  FalsePositive nam [13,19] = Ośrodek Karta projekt Cyfrowych Archiwów Tradycji Lokalnej (confidence=0.98) (incorrect boundry)
  FalseNegative nam [13,14] = Ośrodek Karta
  FalseNegative nam [16,19] = Cyfrowych Archiwów Tradycji Lokalnej

(ChunkerEvaluator) Sentence #1020 from 00103940 from sent14

Text  : Mam nadzieję , że problem ochrony wizerunku nie okaże się nadmierną przeszkodą ,_ a_ za inspirację posłuży może projekt Fortepan ._
Tokens: 1__ 2_______ 3 4_ 5______ 6______ 7________ 8__ 9____ 10_ 11_______ 12________ 13 14 15 16________ 17_____ 18__ 19_____ 20______ 21

Chunks:
  FalsePositive nam [20,20] = Fortepan (confidence=0.99) (incorrect boundry)

2017-06-14 20:31:39,486 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 60 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103953.xml
(ChunkerEvaluator) Sentence #1021 from 00103953 from sent1

Text  : Artykuł poświęcony jest przede wszystkim ewidentnie wzorowanej na „ America ’_ s_ Army ”_ chińskiej grze ,_ z_ udziałem której mają się szkolić chińscy żołnierze ,_ ale w_ którą mają grać też cywile ._
Tokens: 1______ 2_________ 3___ 4_____ 5________ 6_________ 7_________ 8_ 9 10_____ 11 12 13__ 14 15_______ 16__ 17 18 19______ 20____ 21__ 22_ 23_____ 24_____ 25_______ 26 27_ 28 29___ 30__ 31__ 32_ 33____ 34

Chunks:
  TruePositive nam [10,13] = America ’ s Army (confidence=1.00)

(ChunkerEvaluator) Sentence #1022 from 00103953 from sent2

Text  : Uwagę zachodnich mediów zwróciło jednak nie inspirowanie się amerykańskim wzorem ,_ ale odwrócenie schematu ,_ do którego amerykański kompleks militarno -_ rozrywkowy nas przyzwyczaił –_ zamiast sterować amerykańskimi chłopcami i_ strzelać do mudżahedinów lub rosyjskich nacjonalistów ,_ gracze walczą z_ amerykańskim wojskiem ._
Tokens: 1____ 2_________ 3_____ 4_______ 5_____ 6__ 7___________ 8__ 9___________ 10____ 11 12_ 13________ 14______ 15 16 17_____ 18_________ 19______ 20_______ 21 22________ 23_ 24__________ 25 26_____ 27______ 28___________ 29_______ 30 31______ 32 33__________ 34_ 35________ 36___________ 37 38____ 39____ 40 41__________ 42______ 43

Chunks:

(ChunkerEvaluator) Sentence #1023 from 00103953 from sent3

Text  : Sprawa jest o tyle niezwykła , że wysokobudżetowe produkcje z_ dobrą grafiką ,_ w_ których Amerykanie są tymi złymi ,_ po prostu się nie zdarzają ._
Tokens: 1_____ 2___ 3 4___ 5________ 6 7_ 8______________ 9________ 10 11___ 12_____ 13 14 15_____ 16________ 17 18__ 19___ 20 21 22____ 23_ 24_ 25______ 26

Chunks:
  TruePositive nam [16,16] = Amerykanie (confidence=1.00)

(ChunkerEvaluator) Sentence #1024 from 00103953 from sent4

Text  : Moją uwagę zwróciło jednak coś innego .
Tokens: 1___ 2____ 3_______ 4_____ 5__ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #1025 from 00103953 from sent5

Text  : Dla autora tekstu , Davida Axe ’ a , historia komputerowej strzelaniny jest pretekstem do zrobienia małej wyliczanki na temat tego ,_ co jeszcze Chiny skopiowały od innych armii ._
Tokens: 1__ 2_____ 3_____ 4 5_____ 6__ 7 8 9 10______ 11__________ 12_________ 13__ 14________ 15 16_______ 17___ 18________ 19 20___ 21__ 22 23 24_____ 25___ 26________ 27 28____ 29___ 30

Chunks:
  TruePositive nam [5,8] = Davida Axe ’ a (confidence=1.00)
  TruePositive nam [25,25] = Chiny (confidence=1.00)

(ChunkerEvaluator) Sentence #1026 from 00103953 from sent6

Text  : Okazuje się więc , że niewidzialny dla radarów chiński myśliwiec Chengdu J_ -_ 20 ,_ mógł powstać na bazie technologii skopiowanych z_ amerykańskiego F_ -_ 117 ,_ który został zestrzelony przez Serbów podczas wojny o_ Kosowo ._
Tokens: 1______ 2__ 3___ 4 5_ 6___________ 7__ 8______ 9______ 10_______ 11_____ 12 13 14 15 16__ 17_____ 18 19___ 20_________ 21__________ 22 23____________ 24 25 26_ 27 28___ 29____ 30_________ 31___ 32____ 33_____ 34___ 35 36____ 37

Chunks:
  TruePositive nam [11,14] = Chengdu J - 20 (confidence=1.00)
  TruePositive nam [24,26] = F - 117 (confidence=0.87)
  TruePositive nam [32,32] = Serbów (confidence=1.00)
  TruePositive nam [36,36] = Kosowo (confidence=0.80)

(ChunkerEvaluator) Sentence #1027 from 00103953 from sent7

Text  : Chińskie maszyny starszej generacji to z kolei efekt inżynierii wstecznej samolotów rosyjskich (_ co pokazuje ,_ że trudno wyznaczyć granice łańcucha kopiowania –_ wiadomo przecież ,_ że sporo radzieckich produktów ,_ w_ tym kilka samolotów wojskowych ,_ było kopiami amerykańskich )_ ._
Tokens: 1_______ 2______ 3_______ 4________ 5_ 6 7____ 8____ 9_________ 10_______ 11_______ 12________ 13 14 15______ 16 17 18____ 19_______ 20_____ 21______ 22________ 23 24_____ 25______ 26 27 28___ 29_________ 30_______ 31 32 33_ 34___ 35_______ 36________ 37 38__ 39_____ 40___________ 41 42

Chunks:

(ChunkerEvaluator) Sentence #1028 from 00103953 from sent8

Text  : Pytanie brzmi : gdzie przebiega granica między innowacją a modyfikowaniem ,_ kopiowaniem ,_ czy wreszcie kradzieżą rozwiązań ?_
Tokens: 1______ 2____ 3 4____ 5________ 6______ 7_____ 8________ 9 10____________ 11 12_________ 13 14_ 15______ 16_______ 17_______ 18

Chunks:

(ChunkerEvaluator) Sentence #1029 from 00103953 from sent9

Text  : Zastanawia się nad tym w przedostatnim „ New Yorkerze ”_ Malcolm Gladwell (_ online można przeczytać niestety tylko fragment )_ ,_ opisując m_ ._ in ._ historię myszki komputerowej ._
Tokens: 1_________ 2__ 3__ 4__ 5 6____________ 7 8__ 9_______ 10 11_____ 12______ 13 14____ 15___ 16________ 17______ 18___ 19______ 20 21 22______ 23 24 25 26 27______ 28____ 29__________ 30

Chunks:
  TruePositive nam [8,9] = New Yorkerze (confidence=0.99)
  TruePositive nam [11,12] = Malcolm Gladwell (confidence=1.00)

(ChunkerEvaluator) Sentence #1030 from 00103953 from sent10

Text  : Pokazuje , że droga od samego pomysłu , w wypadku myszki przypisywanego najczęściej Douglasowi Englebartowi ,_ do jego udanej realizacji w_ wydaniu Apple ,_ jest długa ._
Tokens: 1_______ 2 3_ 4____ 5_ 6_____ 7______ 8 9 10_____ 11____ 12____________ 13_________ 14________ 15__________ 16 17 18__ 19____ 20________ 21 22_____ 23___ 24 25__ 26___ 27

Chunks:
  TruePositive nam [14,15] = Douglasowi Englebartowi (confidence=1.00)
  TruePositive nam [23,23] = Apple (confidence=1.00)

(ChunkerEvaluator) Sentence #1031 from 00103953 from sent11

Text  : I że czasem przełożenie rewolucyjnej idei na przydatny , niezawodny i_ tani produkt jest trudniejsze ,_ niż wymyślenie pierwszej wersji ._
Tokens: 1 2_ 3_____ 4__________ 5___________ 6___ 7_ 8________ 9 10________ 11 12__ 13_____ 14__ 15_________ 16 17_ 18________ 19_______ 20____ 21

Chunks:

(ChunkerEvaluator) Sentence #1032 from 00103953 from sent12

Text  : Idea to dopiero początek procesu .
Tokens: 1___ 2_ 3______ 4_______ 5______ 6

Chunks:

(ChunkerEvaluator) Sentence #1033 from 00103953 from sent13

Text  : Wygląda na to , że Chińczycy są coraz lepsi w_ pracy na jego kolejnych etapach ,_ niespecjalnie zaprzątając sobie głowy fazą pierwszą ._
Tokens: 1______ 2_ 3_ 4 5_ 6________ 7_ 8____ 9____ 10 11___ 12 13__ 14_______ 15_____ 16 17___________ 18_________ 19___ 20___ 21__ 22______ 23

Chunks:
  TruePositive nam [6,6] = Chińczycy (confidence=0.97)

(ChunkerEvaluator) Sentence #1034 from 00103953 from sent14

Text  : Oczywiście otwarte jest pytanie , jak daleko można rozciągać te analogie –_ bo czym innym jest kopiowanie związane z_ jakąś formą udoskonalania pomysłów ,_ a_ czym innym inne formy kopiowania ,_ jak np ._ kopiowanie plików ._
Tokens: 1_________ 2______ 3___ 4______ 5 6__ 7_____ 8____ 9________ 10 11______ 12 13 14__ 15___ 16__ 17________ 18______ 19 20___ 21___ 22___________ 23______ 24 25 26__ 27___ 28__ 29___ 30________ 31 32_ 33 34 35________ 36____ 37

Chunks:

2017-06-14 20:31:39,581 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 61 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107248.xml
(ChunkerEvaluator) Sentence #1035 from 00107248 from sent1

Text  : 2005-07-21 : Grand Theft Auto : San Andreas tylko dla dorosłych
Tokens: 1_________ 2 3____ 4____ 5___ 6 7__ 8______ 9____ 10_ 11_______

Chunks:
  TruePositive nam [3,8] = Grand Theft Auto : San Andreas (confidence=0.99)

(ChunkerEvaluator) Sentence #1036 from 00107248 from sent2

Text  : ESRB ( Entertainment Software Rating Board ) – organizacja zajmująca się oceną oraz wyznaczaniem granic wiekowych dla wydawanych w_ USA gier komputerowych i_ wideo ,_ zmieniła kategorię wiekową popularnej gry Grand Theft Auto :_ San Andreas z_ M_ (_ Mature /_ Dojrzali )_ na AO (_ Adults Only /_ Tylko dla dorosłych )_ ._
Tokens: 1___ 2 3____________ 4_______ 5_____ 6____ 7 8 9__________ 10_______ 11_ 12___ 13__ 14__________ 15____ 16_______ 17_ 18________ 19 20_ 21__ 22___________ 23 24___ 25 26______ 27_______ 28_____ 29________ 30_ 31___ 32___ 33__ 34 35_ 36_____ 37 38 39 40____ 41 42______ 43 44 45 46 47____ 48__ 49 50___ 51_ 52_______ 53 54

Chunks:
  TruePositive nam [1,1] = ESRB (confidence=0.94)
  TruePositive nam [3,6] = Entertainment Software Rating Board (confidence=1.00)
  TruePositive nam [20,20] = USA (confidence=1.00)
  FalsePositive nam [31,38] = Grand Theft Auto : San Andreas z M (confidence=1.00) (incorrect boundry)
  FalsePositive nam [40,42] = Mature / Dojrzali (confidence=0.93) (incorrect boundry)
  FalsePositive nam [45,45] = AO (confidence=0.99) (incorrect boundry)
  FalsePositive nam [47,48] = Adults Only (confidence=0.99) (incorrect boundry)
  FalseNegative nam [31,36] = Grand Theft Auto : San Andreas

(ChunkerEvaluator) Sentence #1037 from 00107248 from sent3

Text  : Jest ona 19 . grą , która uzyskała najwyższe oznaczenie ._
Tokens: 1___ 2__ 3_ 4 5__ 6 7____ 8_______ 9________ 10________ 11

Chunks:

(ChunkerEvaluator) Sentence #1038 from 00107248 from sent4

Text  : Poprzednie wersje gry ( GTA III i Vice City )_ otrzymywały oznaczenie M_ ._
Tokens: 1_________ 2_____ 3__ 4 5__ 6__ 7 8___ 9___ 10 11_________ 12________ 13 14

Chunks:
  TruePositive nam [5,6] = GTA III (confidence=0.87)
  TruePositive nam [8,9] = Vice City (confidence=0.71)

(ChunkerEvaluator) Sentence #1039 from 00107248 from sent5

Text  : Jako powód , na stronie ESRB wymieniono między innymi mocne podteksty seksualne (_ strong sexual content )_ i_ nagość (_ nudity )_ ._
Tokens: 1___ 2____ 3 4_ 5______ 6___ 7_________ 8_____ 9_____ 10___ 11_______ 12_______ 13 14____ 15____ 16_____ 17 18 19____ 20 21____ 22 23

Chunks:
  TruePositive nam [6,6] = ESRB (confidence=0.98)

(ChunkerEvaluator) Sentence #1040 from 00107248 from sent6

Text  : Zmiana jest spowodowana wystąpieniem senator Hillary Clinton , która postanowiła walczyć z_ producentem gry ,_ Rockstar Games ._
Tokens: 1_____ 2___ 3__________ 4___________ 5______ 6______ 7______ 8 9____ 10_________ 11_____ 12 13_________ 14_ 15 16______ 17___ 18

Chunks:
  TruePositive nam [6,7] = Hillary Clinton (confidence=1.00)
  TruePositive nam [16,17] = Rockstar Games (confidence=1.00)

(ChunkerEvaluator) Sentence #1041 from 00107248 from sent7

Text  : Oskarżyła ich o celowe pozostawienie w kodzie gry scen erotycznych ,_ które mogą być odblokowane za pomocą specjalnej modyfikacji o_ nazwie Hot Coffee Mod ._
Tokens: 1________ 2__ 3 4_____ 5____________ 6 7_____ 8__ 9___ 10_________ 11 12___ 13__ 14_ 15_________ 16 17____ 18________ 19_________ 20 21____ 22_ 23____ 24_ 25

Chunks:
  TruePositive nam [22,24] = Hot Coffee Mod (confidence=1.00)

(ChunkerEvaluator) Sentence #1042 from 00107248 from sent8

Text  : Senator twierdzi , że pomimo nałożonego limitu ( Mature oznacza osoby powyżej 17 ._ roku życia )_ młodzi ludzie mogą w_ łatwy sposób nabyć grę ,_ a_ potrzebną modyfikację pobrać z_ internetu ._
Tokens: 1______ 2_______ 3 4_ 5_____ 6_________ 7_____ 8 9_____ 10_____ 11___ 12_____ 13 14 15__ 16___ 17 18____ 19____ 20__ 21 22___ 23____ 24___ 25_ 26 27 28_______ 29_________ 30____ 31 32_______ 33

Chunks:
  TruePositive nam [32,32] = internetu (confidence=1.00)
  FalsePositive nam [9,9] = Mature (confidence=0.98) (incorrect boundry)

(ChunkerEvaluator) Sentence #1043 from 00107248 from sent9

Text  : Patricia Vance , prezydent ESRB powiedziała , że po przeprowadzeniu śledztwa są przekonani ,_ iż seksualne sceny pojawiają się we wszystkich wersjach gry (_ na PC ,_ PlayStation 2_ oraz Xboksa )_ ._
Tokens: 1_______ 2____ 3 4________ 5___ 6__________ 7 8_ 9_ 10_____________ 11______ 12 13________ 14 15 16_______ 17___ 18_______ 19_ 20 21________ 22______ 23_ 24 25 26 27 28_________ 29 30__ 31____ 32 33

Chunks:
  TruePositive nam [1,2] = Patricia Vance (confidence=1.00)
  TruePositive nam [5,5] = ESRB (confidence=1.00)
  TruePositive nam [26,26] = PC (confidence=0.99)
  TruePositive nam [28,29] = PlayStation 2 (confidence=1.00)
  TruePositive nam [31,31] = Xboksa (confidence=0.95)

(ChunkerEvaluator) Sentence #1044 from 00107248 from sent10

Text  : Przedstawiciele Rockstar Games odpowiadają , że co prawda niedozwolone sceny są ,_ ale ich odblokowanie wymaga znacznych zmian w_ kodzie gry przez osoby trzecie ._
Tokens: 1______________ 2_______ 3____ 4__________ 5 6_ 7_ 8_____ 9___________ 10___ 11 12 13_ 14_ 15__________ 16____ 17_______ 18___ 19 20____ 21_ 22___ 23___ 24_____ 25

Chunks:
  TruePositive nam [2,3] = Rockstar Games (confidence=1.00)

(ChunkerEvaluator) Sentence #1045 from 00107248 from sent11

Text  : Nie jest to jednak do końca prawdą – modyfikację stanowi jeden plik o_ nazwie main.scm ,_ który zastępuje oryginalny ,_ występujący w_ katalogu gry zaraz po instalacji ._
Tokens: 1__ 2___ 3_ 4_____ 5_ 6____ 7_____ 8 9__________ 10_____ 11___ 12__ 13 14____ 15______ 16 17___ 18_______ 19________ 20 21_________ 22 23______ 24_ 25___ 26 27________ 28

Chunks:
  FalseNegative nam [15,15] = main.scm

(ChunkerEvaluator) Sentence #1046 from 00107248 from sent12

Text  : Jedyną przeszkodą występującą po podmianie plików jest konieczność rozpoczęcia od nowa gry (_ zapisane stany gry z_ „_ czystej ”_ wersji są niekompatybilne ze zmodyfikowanymi )_ ._
Tokens: 1_____ 2_________ 3__________ 4_ 5________ 6_____ 7___ 8__________ 9__________ 10 11__ 12_ 13 14______ 15___ 16_ 17 18 19_____ 20 21____ 22 23_____________ 24 25_____________ 26 27

Chunks:

(ChunkerEvaluator) Sentence #1047 from 00107248 from sent13

Text  : W wyniku zamieszania , plik odblokowujący seksualne sceny został wycofany z_ niektórych pobieralni ._
Tokens: 1 2_____ 3__________ 4 5___ 6____________ 7________ 8____ 9_____ 10______ 11 12________ 13________ 14

Chunks:

(ChunkerEvaluator) Sentence #1048 from 00107248 from sent14

Text  : Wycofano także ze sklepów część egzemplarzy gry z nieaktualnym oznaczeniem ._
Tokens: 1_______ 2____ 3_ 4______ 5____ 6__________ 7__ 8 9___________ 10_________ 11

Chunks:

(ChunkerEvaluator) Sentence #1049 from 00107248 from sent15

Text  : Ponadto , producent obiecuje do końca października wydanie nowej wersji gry ,_ która zablokuje możliwość korzystania z_ modyfikacji ._
Tokens: 1______ 2 3________ 4_______ 5_ 6____ 7___________ 8______ 9____ 10____ 11_ 12 13___ 14_______ 15_______ 16_________ 17 18_________ 19

Chunks:

(ChunkerEvaluator) Sentence #1050 from 00107248 from sent16

Text  : Nieco wcześniej , w sieci powinna ukazać się łatka naprawiająca lukę ._
Tokens: 1____ 2________ 3 4 5____ 6______ 7_____ 8__ 9____ 10__________ 11__ 12

Chunks:

(ChunkerEvaluator) Sentence #1051 from 00107248 from sent17

Text  : Pierwsza dama Stanów Zjednoczonych już nie pierwszy raz walczy przeciwko zjawiskom przemocy i_ seksu w_ mediach i_ kulturze ._
Tokens: 1_______ 2___ 3_____ 4____________ 5__ 6__ 7_______ 8__ 9_____ 10_______ 11_______ 12______ 13 14___ 15 16_____ 17 18______ 19

Chunks:
  TruePositive nam [3,4] = Stanów Zjednoczonych (confidence=0.99)

(ChunkerEvaluator) Sentence #1052 from 00107248 from sent18

Text  : Po stronie Hillary Clinton stanęli między innymi członkowie Narodowego Instytutu Rodziny i_ Mediów ,_ Fundacji Nowa Ameryka oraz szefowie Fundacji Zapobiegania Przemocy w_ Rodzinie ._
Tokens: 1_ 2______ 3______ 4______ 5______ 6_____ 7_____ 8_________ 9_________ 10_______ 11_____ 12 13____ 14 15______ 16__ 17_____ 18__ 19______ 20______ 21__________ 22______ 23 24______ 25

Chunks:
  TruePositive nam [3,4] = Hillary Clinton (confidence=1.00)
  TruePositive nam [9,13] = Narodowego Instytutu Rodziny i Mediów (confidence=0.97)
  TruePositive nam [15,17] = Fundacji Nowa Ameryka (confidence=1.00)
  FalsePositive nam [20,22] = Fundacji Zapobiegania Przemocy (confidence=1.00) (incorrect boundry)
  FalsePositive nam [24,24] = Rodzinie (confidence=0.99) (incorrect boundry)
  FalseNegative nam [20,24] = Fundacji Zapobiegania Przemocy w Rodzinie

(ChunkerEvaluator) Sentence #1053 from 00107248 from sent19

Text  : Luka w kodzie została odkryta przez Bartona Waterducka .
Tokens: 1___ 2 3_____ 4______ 5______ 6____ 7______ 8_________ 9

Chunks:
  TruePositive nam [7,8] = Bartona Waterducka (confidence=1.00)

(ChunkerEvaluator) Sentence #1054 from 00107248 from sent20

Text  : Pierwsza wersja modyfikacji została stworzona 9 czerwca 2005 roku przez Patricka Wildenborga i_ była skierowana do posiadaczy San Andreas w_ wersji na komputery ._
Tokens: 1_______ 2_____ 3__________ 4______ 5________ 6 7______ 8___ 9___ 10___ 11______ 12_________ 13 14__ 15________ 16 17________ 18_ 19_____ 20 21____ 22 23_______ 24

Chunks:
  TruePositive nam [11,12] = Patricka Wildenborga (confidence=1.00)
  TruePositive nam [18,19] = San Andreas (confidence=1.00)

(ChunkerEvaluator) Sentence #1055 from 00107248 from sent21

Text  : Po pewnym czasie powstała odmiana dla Xboksa .
Tokens: 1_ 2_____ 3_____ 4_______ 5______ 6__ 7_____ 8

Chunks:
  TruePositive nam [7,7] = Xboksa (confidence=0.99)

(ChunkerEvaluator) Sentence #1056 from 00107248 from sent22

Text  : W wersji na konsolę PlayStation 2 sceny mogą zostać odblokowane za pomocą narzędzia Action Replay Max ._
Tokens: 1 2_____ 3_ 4______ 5__________ 6 7____ 8___ 9_____ 10_________ 11 12____ 13_______ 14____ 15____ 16_ 17

Chunks:
  TruePositive nam [14,16] = Action Replay Max (confidence=1.00)
  FalsePositive nam [5,5] = PlayStation (confidence=0.99) (incorrect boundry)
  FalseNegative nam [5,6] = PlayStation 2

(ChunkerEvaluator) Sentence #1057 from 00107248 from sent23

Text  : Przy tworzeniu pliku autorowi pomagało wielu fanów , między innymi poprzez zgłaszanie błędów i_ usterek ._
Tokens: 1___ 2________ 3____ 4_______ 5_______ 6____ 7____ 8 9_____ 10____ 11_____ 12________ 13____ 14 15_____ 16

Chunks:

(ChunkerEvaluator) Sentence #1058 from 00107248 from sent24

Text  : Pikantne zabawy z dziewczynami Carla Johnsona nie są jedyną ukrytą rzeczą w_ San Andreas ._
Tokens: 1_______ 2_____ 3 4___________ 5____ 6_______ 7__ 8_ 9_____ 10____ 11____ 12 13_ 14_____ 15

Chunks:
  TruePositive nam [5,6] = Carla Johnsona (confidence=1.00)
  TruePositive nam [13,14] = San Andreas (confidence=0.99)

(ChunkerEvaluator) Sentence #1059 from 00107248 from sent25

Text  : W grze schowano również deskorolkę , która być może miała służyć do jazdy ,_ jednak opcja ta nie pojawiła się w_ finalnej wersji gry ._
Tokens: 1 2___ 3_______ 4______ 5_________ 6 7____ 8__ 9___ 10___ 11____ 12 13___ 14 15____ 16___ 17 18_ 19______ 20_ 21 22______ 23____ 24_ 25

Chunks:

(ChunkerEvaluator) Sentence #1060 from 00107248 from sent26

Text  : Zmiana jednej linijki w pliku gry pozwala wykorzystać deskorolkę jako broń białą ._
Tokens: 1_____ 2_____ 3______ 4 5____ 6__ 7______ 8__________ 9_________ 10__ 11__ 12___ 13

Chunks:

(ChunkerEvaluator) Sentence #1061 from 00107248 from sent27

Text  : Źródła
Tokens: 1_____

Chunks:

(ChunkerEvaluator) Sentence #1062 from 00107248 from sent28

Text  : ESRB
Tokens: 1___

Chunks:
  TruePositive nam [1,1] = ESRB (confidence=0.51)

(ChunkerEvaluator) Sentence #1063 from 00107248 from sent29

Text  : Strona twórcy modyfikacji , Patricka Wildenborga
Tokens: 1_____ 2_____ 3__________ 4 5_______ 6__________

Chunks:
  TruePositive nam [5,6] = Patricka Wildenborga (confidence=1.00)

(ChunkerEvaluator) Sentence #1064 from 00107248 from sent30

Text  : PC Magazine
Tokens: 1_ 2_______

Chunks:
  TruePositive nam [1,2] = PC Magazine (confidence=0.94)

(ChunkerEvaluator) Sentence #1065 from 00107248 from sent31

Text  : Oświadczenie prasowe Take 2 Games
Tokens: 1___________ 2______ 3___ 4 5____

Chunks:
  TruePositive nam [3,5] = Take 2 Games (confidence=1.00)

2017-06-14 20:31:39,723 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 62 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107253.xml
(ChunkerEvaluator) Sentence #1066 from 00107253 from sent1

Text  : 2006-01-01 : Rozpoczęto odcinanie gazu Ukrainie
Tokens: 1_________ 2 3_________ 4________ 5___ 6_______

Chunks:
  TruePositive nam [6,6] = Ukrainie (confidence=1.00)

(ChunkerEvaluator) Sentence #1067 from 00107253 from sent2

Text  : Zgodnie z wcześniejszymi zapowiedziami , około godziny ósmej rano rosyjski Gazprom rozpoczął "_ zakręcanie kurka "_ z_ gazem dla Ukrainy ._
Tokens: 1______ 2 3_____________ 4____________ 5 6____ 7______ 8____ 9___ 10______ 11_____ 12_______ 13 14________ 15___ 16 17 18___ 19_ 20_____ 21

Chunks:
  TruePositive nam [11,11] = Gazprom (confidence=0.97)
  TruePositive nam [20,20] = Ukrainy (confidence=1.00)

(ChunkerEvaluator) Sentence #1068 from 00107253 from sent3

Text  : Odcięcie dopływu gazu spowodowane jest nieprzedłużeniem umowy między obydwoma krajami na dostawy gazu ._
Tokens: 1_______ 2______ 3___ 4__________ 5___ 6_______________ 7____ 8_____ 9_______ 10_____ 11 12_____ 13__ 14

Chunks:

(ChunkerEvaluator) Sentence #1069 from 00107253 from sent4

Text  : Głównym powodem niepodpisania umowy jest drastyczna podwyżka cen dla ukraińskiego Naftohazu ,_ spowodowana ,_ według Rosjan ,_ zerwaniem sojuszu z_ Rosją ._
Tokens: 1______ 2______ 3____________ 4____ 5___ 6_________ 7_______ 8__ 9__ 10__________ 11_______ 12 13_________ 14 15____ 16____ 17 18_______ 19_____ 20 21___ 22

Chunks:
  TruePositive nam [11,11] = Naftohazu (confidence=0.92)
  TruePositive nam [16,16] = Rosjan (confidence=0.99)
  TruePositive nam [21,21] = Rosją (confidence=0.98)

(ChunkerEvaluator) Sentence #1070 from 00107253 from sent5

Text  : Według nich , teraz kiedy Ukraina jest już wśród krajów zachodnich ,_ należy narzucić jej wolnorynkowe ceny ,_ co wiąże się z_ ponad 5_ -_ krotną podwyżką ._
Tokens: 1_____ 2___ 3 4____ 5____ 6______ 7___ 8__ 9____ 10____ 11________ 12 13____ 14______ 15_ 16__________ 17__ 18 19 20___ 21_ 22 23___ 24 25 26____ 27______ 28

Chunks:
  TruePositive nam [6,6] = Ukraina (confidence=1.00)

(ChunkerEvaluator) Sentence #1071 from 00107253 from sent6

Text  : Rząd Ukrainy nie chciał się na to zgodzić , zaproponował rozłożenie podwyżki na lata ,_ rząd na Kremlu jednak odmówił ._
Tokens: 1___ 2______ 3__ 4_____ 5__ 6_ 7_ 8______ 9 10__________ 11________ 12______ 13 14__ 15 16__ 17 18____ 19____ 20_____ 21

Chunks:
  TruePositive nam [2,2] = Ukrainy (confidence=1.00)
  TruePositive nam [18,18] = Kremlu (confidence=1.00)

(ChunkerEvaluator) Sentence #1072 from 00107253 from sent7

Text  : Ostatnia wersja oferty gwarantowała Ukrainie kontynuację dostaw gazu przez pierwszy kwartał 2006 roku po starej cenie ._
Tokens: 1_______ 2_____ 3_____ 4___________ 5_______ 6__________ 7_____ 8___ 9____ 10______ 11_____ 12__ 13__ 14 15____ 16___ 17

Chunks:
  TruePositive nam [5,5] = Ukrainie (confidence=1.00)

(ChunkerEvaluator) Sentence #1073 from 00107253 from sent8

Text  : Właściwa podwyżka miała nastąpić od drugiego kwartału .
Tokens: 1_______ 2_______ 3____ 4_______ 5_ 6_______ 7_______ 8

Chunks:

(ChunkerEvaluator) Sentence #1074 from 00107253 from sent9

Text  : " Ukraina odrzuciła tę opcję , co pokazuje , że ukraińskie władze wcześniej zaplanowały konflikt :_ to jest mieli zamiar wykorzystywać albo po prostu ukraść gaz przeznaczony dla europejskich klientów "_ -_ powiedział przedstawiciel Gazpromu Siergiej Kuprijanow ._
Tokens: 1 2______ 3________ 4_ 5____ 6 7_ 8_______ 9 10 11________ 12____ 13_______ 14_________ 15______ 16 17 18__ 19___ 20____ 21___________ 22__ 23 24____ 25____ 26_ 27__________ 28_ 29__________ 30______ 31 32 33________ 34____________ 35______ 36______ 37________ 38

Chunks:
  TruePositive nam [2,2] = Ukraina (confidence=0.99)
  FalsePositive nam [35,37] = Gazpromu Siergiej Kuprijanow (confidence=1.00) (incorrect boundry)
  FalseNegative nam [35,35] = Gazpromu
  FalseNegative nam [36,37] = Siergiej Kuprijanow

(ChunkerEvaluator) Sentence #1075 from 00107253 from sent10

Text  : Przerwanie dostaw na Ukrainę mogło , według ekspertów , zagrozić bezpieczeństwu energetycznemu Polski i_ ciągłości dostaw gazu do Polski ._
Tokens: 1_________ 2_____ 3_ 4______ 5____ 6 7_____ 8________ 9 10______ 11____________ 12____________ 13____ 14 15_______ 16____ 17__ 18 19____ 20

Chunks:
  TruePositive nam [4,4] = Ukrainę (confidence=1.00)
  TruePositive nam [13,13] = Polski (confidence=1.00)
  TruePositive nam [19,19] = Polski (confidence=1.00)

(ChunkerEvaluator) Sentence #1076 from 00107253 from sent11

Text  : Rosjanie zapewniają jednak , że nie wpłynie to na dostawy surowca do Europy Zachodniej ._
Tokens: 1_______ 2_________ 3_____ 4 5_ 6__ 7______ 8_ 9_ 10_____ 11_____ 12 13____ 14________ 15

Chunks:
  TruePositive nam [13,14] = Europy Zachodniej (confidence=1.00)
  FalseNegative nam [1,1] = Rosjanie

2017-06-14 20:31:39,778 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 63 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107258.xml
(ChunkerEvaluator) Sentence #1077 from 00107258 from sent1

Text  : 2006-01-28 : Jarosław Kaczyński : Koalicja rządowa z Samoobroną i_ LPR na razie niemożliwa
Tokens: 1_________ 2 3_______ 4________ 5 6_______ 7______ 8 9_________ 10 11_ 12 13___ 14________

Chunks:
  TruePositive nam [3,4] = Jarosław Kaczyński (confidence=1.00)
  TruePositive nam [9,9] = Samoobroną (confidence=0.90)
  TruePositive nam [11,11] = LPR (confidence=0.99)

(ChunkerEvaluator) Sentence #1078 from 00107258 from sent2

Text  : Jarosław Kaczyński powiedział w Sygnałach Dnia , że koalicja rządowa z_ Samoobroną i_ Ligą Polskich Rodzin jest w_ tej chwili niemożliwa ._
Tokens: 1_______ 2________ 3_________ 4 5________ 6___ 7 8_ 9_______ 10_____ 11 12________ 13 14__ 15______ 16____ 17__ 18 19_ 20____ 21________ 22

Chunks:
  TruePositive nam [1,2] = Jarosław Kaczyński (confidence=1.00)
  TruePositive nam [5,6] = Sygnałach Dnia (confidence=0.81)
  TruePositive nam [12,12] = Samoobroną (confidence=1.00)
  TruePositive nam [14,16] = Ligą Polskich Rodzin (confidence=0.94)

(ChunkerEvaluator) Sentence #1079 from 00107258 from sent3

Text  : Kaczyński zaznaczył jednocześnie , że nie należy rozpisywać nowych wyborów ._
Tokens: 1________ 2________ 3___________ 4 5_ 6__ 7_____ 8_________ 9_____ 10_____ 11

Chunks:
  TruePositive nam [1,1] = Kaczyński (confidence=0.98)

(ChunkerEvaluator) Sentence #1080 from 00107258 from sent4

Text  : Prezes Prawa i Sprawiedliwości dodał , że liczy się z_ głosem społeczeństwa ,_ które -_ jego zdaniem -_ sprzeciwia się wyborom ._
Tokens: 1_____ 2____ 3 4______________ 5____ 6 7_ 8____ 9__ 10 11____ 12___________ 13 14___ 15 16__ 17_____ 18 19________ 20_ 21_____ 22

Chunks:
  FalsePositive nam [1,4] = Prezes Prawa i Sprawiedliwości (confidence=0.59) (incorrect boundry)
  FalseNegative nam [2,4] = Prawa i Sprawiedliwości

(ChunkerEvaluator) Sentence #1081 from 00107258 from sent5

Text  : Z kolei Kazimierz Marcinkiewicz uważa , że jeżeli nie dojdzie do podpisania paktu stabilizacyjnego w_ ciągu dwóch tygodni ,_ to powinno dojść do rozwiązania parlamentu ._
Tokens: 1 2____ 3________ 4____________ 5____ 6 7_ 8_____ 9__ 10_____ 11 12________ 13___ 14______________ 15 16___ 17___ 18_____ 19 20 21_____ 22___ 23 24_________ 25________ 26

Chunks:
  TruePositive nam [3,4] = Kazimierz Marcinkiewicz (confidence=1.00)
  FalseNegative nam [13,14] = paktu stabilizacyjnego

(ChunkerEvaluator) Sentence #1082 from 00107258 from sent6

Text  : Rozmowy w parlamencie pomiędzy ugrupowaniami politycznymi trwają .
Tokens: 1______ 2 3__________ 4_______ 5____________ 6___________ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #1083 from 00107258 from sent7

Text  : Albo w ciągu najbliższego tygodnia , maksymalnie dwóch , nastąpi podpisanie paktu stabilizacyjnego ,_ czyli znajdzie się większość ,_ która będzie wspierała rząd w_ ciągu przynajmniej najbliższych sześciu miesięcy ,_ albo -_ jeśli nie -_ trzeba będzie odwołać się do demokracji -_ zaznacza premier ._
Tokens: 1___ 2 3____ 4___________ 5_______ 6 7__________ 8____ 9 10_____ 11________ 12___ 13______________ 14 15___ 16______ 17_ 18_______ 19 20___ 21____ 22_______ 23__ 24 25___ 26__________ 27__________ 28_____ 29______ 30 31__ 32 33___ 34_ 35 36____ 37____ 38_____ 39_ 40 41________ 42 43______ 44_____ 45

Chunks:
  FalseNegative nam [12,13] = paktu stabilizacyjnego

(ChunkerEvaluator) Sentence #1084 from 00107258 from sent8

Text  : Jarosław Kaczyński stwierdził także , że jeszcze wczoraj była szansa na porozumienie z_ Platformą Obywatelską ._
Tokens: 1_______ 2________ 3_________ 4____ 5 6_ 7______ 8______ 9___ 10____ 11 12__________ 13 14_______ 15_________ 16

Chunks:
  TruePositive nam [1,2] = Jarosław Kaczyński (confidence=1.00)
  TruePositive nam [14,15] = Platformą Obywatelską (confidence=1.00)

(ChunkerEvaluator) Sentence #1085 from 00107258 from sent9

Text  : Jego zdaniem partia Donalda Tuska stawiała warunki dominacji w rządzie ._
Tokens: 1___ 2______ 3_____ 4______ 5____ 6_______ 7______ 8________ 9 10_____ 11

Chunks:
  TruePositive nam [4,5] = Donalda Tuska (confidence=1.00)

(ChunkerEvaluator) Sentence #1086 from 00107258 from sent10

Text  : Prezes PiS obarczył winą PO za zamieszanie w obecnym Sejmie i_ brak rządu o_ stałym poparciu ._
Tokens: 1_____ 2__ 3_______ 4___ 5_ 6_ 7__________ 8 9______ 10____ 11 12__ 13___ 14 15____ 16______ 17

Chunks:
  TruePositive nam [2,2] = PiS (confidence=0.65)
  TruePositive nam [5,5] = PO (confidence=1.00)
  TruePositive nam [10,10] = Sejmie (confidence=1.00)

2017-06-14 20:31:39,831 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 64 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107296.xml
(ChunkerEvaluator) Sentence #1087 from 00107296 from sent1

Text  : 2007-09-23 : Konwencja wyborcza PiS w Lublinie
Tokens: 1_________ 2 3________ 4_______ 5__ 6 7_______

Chunks:
  TruePositive nam [5,5] = PiS (confidence=0.77)
  TruePositive nam [7,7] = Lublinie (confidence=1.00)

(ChunkerEvaluator) Sentence #1088 from 00107296 from sent2

Text  : Podczas dzisiejszej konwencji wyborczej PiS w Lublinie Jarosław Kaczyński przekonywał słuchaczy ,_ że według politycznych przeciwników jego partii ,_ IV RP i_ walka z_ patologią ,_ to „_ Wschód ,_ a_ III RP to Zachód ”_ ._
Tokens: 1______ 2__________ 3________ 4________ 5__ 6 7_______ 8_______ 9________ 10_________ 11_______ 12 13 14____ 15__________ 16__________ 17__ 18____ 19 20 21 22 23___ 24 25_______ 26 27 28 29____ 30 31 32_ 33 34 35____ 36 37

Chunks:
  TruePositive nam [5,5] = PiS (confidence=0.93)
  TruePositive nam [7,7] = Lublinie (confidence=1.00)
  TruePositive nam [8,9] = Jarosław Kaczyński (confidence=1.00)
  TruePositive nam [20,21] = IV RP (confidence=0.81)
  TruePositive nam [29,29] = Wschód (confidence=0.94)
  FalsePositive nam [32,35] = III RP to Zachód (confidence=0.81) (incorrect boundry)
  FalseNegative nam [32,33] = III RP
  FalseNegative nam [35,35] = Zachód

(ChunkerEvaluator) Sentence #1089 from 00107296 from sent3

Text  : Kaczyński uważa , że oponenci PiS dążą do powrotu epoki „_ przedrywinowskiej ”_ ._
Tokens: 1________ 2____ 3 4_ 5_______ 6__ 7___ 8_ 9______ 10___ 11 12_______________ 13 14

Chunks:
  TruePositive nam [1,1] = Kaczyński (confidence=0.97)
  TruePositive nam [6,6] = PiS (confidence=1.00)

(ChunkerEvaluator) Sentence #1090 from 00107296 from sent4

Text  : Premier zaznaczył , że chce walczyć z patologią w życiu publicznym i_ społecznym ._
Tokens: 1______ 2________ 3 4_ 5___ 6______ 7 8________ 9 10___ 11________ 12 13________ 14

Chunks:

(ChunkerEvaluator) Sentence #1091 from 00107296 from sent5

Text  : Według niego Polska ma rozwijać się , iść naprzód ,_ a_ wygrana Platformy i_ LiD "_ może być zablokowaniem zmian w_ Polsce na wiele lat ._
Tokens: 1_____ 2____ 3_____ 4_ 5_______ 6__ 7 8__ 9______ 10 11 12_____ 13_______ 14 15_ 16 17__ 18_ 19___________ 20___ 21 22____ 23 24___ 25_ 26

Chunks:
  TruePositive nam [3,3] = Polska (confidence=1.00)
  TruePositive nam [22,22] = Polsce (confidence=1.00)
  FalsePositive nam [13,15] = Platformy i LiD (confidence=0.95) (incorrect boundry)
  FalseNegative nam [15,15] = LiD

(ChunkerEvaluator) Sentence #1092 from 00107296 from sent6

Text  : Zablokowaniem w imię interesów uwłaszczonej nomenklatury , w imię interesów oligarchii ,_ a_ przeciw interesom ogromnej większości narodu "_ ._
Tokens: 1____________ 2 3___ 4________ 5___________ 6___________ 7 8 9___ 10_______ 11________ 12 13 14_____ 15_______ 16______ 17________ 18____ 19 20

Chunks:

(ChunkerEvaluator) Sentence #1093 from 00107296 from sent7

Text  : " W Polsce funkcjonuje nieformalny , ale skuteczny immunitet dla uprzywilejowanych ._
Tokens: 1 2 3_____ 4__________ 5__________ 6 7__ 8________ 9________ 10_ 11_______________ 12

Chunks:
  TruePositive nam [3,3] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #1094 from 00107296 from sent8

Text  : Tego korupcyjno - korporacyjnego systemu przywilejów ze szczególną zaciekłością broni LiD ._
Tokens: 1___ 2_________ 3 4_____________ 5______ 6__________ 7_ 8_________ 9___________ 10___ 11_ 12

Chunks:
  TruePositive nam [11,11] = LiD (confidence=0.96)

(ChunkerEvaluator) Sentence #1095 from 00107296 from sent9

Text  : System korupcyjno - korporacyjny można porównać do worka kamieni ._
Tokens: 1_____ 2_________ 3 4___________ 5____ 6_______ 7_ 8____ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #1096 from 00107296 from sent10

Text  : My , Polacy , niesiemy ten worek , a budowa IV RP to nic innego jak tylko zrzucenie tego worka "_ -_ powiedział premier ._
Tokens: 1_ 2 3_____ 4 5_______ 6__ 7____ 8 9 10____ 11 12 13 14_ 15____ 16_ 17___ 18_______ 19__ 20___ 21 22 23________ 24_____ 25

Chunks:
  TruePositive nam [3,3] = Polacy (confidence=1.00)
  TruePositive nam [11,12] = IV RP (confidence=0.84)

(ChunkerEvaluator) Sentence #1097 from 00107296 from sent11

Text  : Jarosław Kaczyński stwierdził , że aktualny spór w kraju dotyczy jednego zagadnienia :_ „_ władzy demokratycznej i_ jej uprawnień ”_ ._
Tokens: 1_______ 2________ 3_________ 4 5_ 6_______ 7___ 8 9____ 10_____ 11_____ 12_________ 13 14 15____ 16____________ 17 18_ 19_______ 20 21

Chunks:
  TruePositive nam [1,2] = Jarosław Kaczyński (confidence=1.00)

(ChunkerEvaluator) Sentence #1098 from 00107296 from sent12

Text  : Tego , czy przywileje mogą być ograniczane przez władzę demokratyczną oraz czy ma ona działać w_ interesie większości ,_ która tych przywilejów nie posiada ._
Tokens: 1___ 2 3__ 4_________ 5___ 6__ 7__________ 8____ 9_____ 10___________ 11__ 12_ 13 14_ 15_____ 16 17_______ 18________ 19 20___ 21__ 22_________ 23_ 24_____ 25

Chunks:

(ChunkerEvaluator) Sentence #1099 from 00107296 from sent13

Text  : Podczas konwencji Elżbieta Kruk ( nr 1 PiS w Lublinie )_ wypowiedziała się również na temat mediów :_ "_ Nie ma prawdziwej demokracji ,_ kiedy ludzie nie są dobrze poinformowani ._
Tokens: 1______ 2________ 3_______ 4___ 5 6_ 7 8__ 9 10______ 11 12___________ 13_ 14_____ 15 16___ 17____ 18 19 20_ 21 22________ 23________ 24 25___ 26____ 27_ 28 29____ 30___________ 31

Chunks:
  TruePositive nam [3,4] = Elżbieta Kruk (confidence=1.00)
  TruePositive nam [8,8] = PiS (confidence=0.89)
  TruePositive nam [10,10] = Lublinie (confidence=1.00)

(ChunkerEvaluator) Sentence #1100 from 00107296 from sent14

Text  : Ataki na media publiczne ze strony PO i SLD to efekt ich wściekłości za to ,_ że media są obiektywne ,_ rzetelne i_ pokazują prawdę "_ ._
Tokens: 1____ 2_ 3____ 4________ 5_ 6_____ 7_ 8 9__ 10 11___ 12_ 13_________ 14 15 16 17 18___ 19 20________ 21 22______ 23 24______ 25____ 26 27

Chunks:
  TruePositive nam [7,7] = PO (confidence=1.00)
  TruePositive nam [9,9] = SLD (confidence=0.97)

(ChunkerEvaluator) Sentence #1101 from 00107296 from sent15

Text  : Natomiast w sobotę w Rzeszowie premier wypowiadał się na temat kościoła :_ "_ Szczególna rola przypada współpracy państwo -_ Kościół katolicki ._
Tokens: 1________ 2 3_____ 4 5________ 6______ 7_________ 8__ 9_ 10___ 11______ 12 13 14________ 15__ 16______ 17________ 18_____ 19 20_____ 21_______ 22

Chunks:
  TruePositive nam [5,5] = Rzeszowie (confidence=0.99)
  TruePositive nam [20,21] = Kościół katolicki (confidence=0.97)
  FalsePositive nam [14,15] = Szczególna rola (confidence=0.92) (incorrect boundry)
  FalseNegative nam [11,11] = kościoła

(ChunkerEvaluator) Sentence #1102 from 00107296 from sent16

Text  : To musi być współpraca oparta na równych prawach , ale jest potrzebna ._
Tokens: 1_ 2___ 3__ 4_________ 5_____ 6_ 7______ 8______ 9 10_ 11__ 12_______ 13

Chunks:

(ChunkerEvaluator) Sentence #1103 from 00107296 from sent17

Text  : W Polsce Kościół jest dzierżycielem jedynego powszechnego systemu wartości "_ ._
Tokens: 1 2_____ 3______ 4___ 5____________ 6_______ 7___________ 8______ 9_______ 10 11

Chunks:
  FalsePositive nam [2,3] = Polsce Kościół (confidence=1.00) (incorrect boundry)
  FalseNegative nam [2,2] = Polsce
  FalseNegative nam [3,3] = Kościół

2017-06-14 20:31:39,915 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 65 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107303.xml
(ChunkerEvaluator) Sentence #1104 from 00107303 from sent1

Text  : 2008-02-01 : Osiągnięto porozumienie w sprawie tarczy antyrakietowej
Tokens: 1_________ 2 3_________ 4___________ 5 6______ 7_____ 8_____________

Chunks:

(ChunkerEvaluator) Sentence #1105 from 00107303 from sent2

Text  : Minister spraw zagranicznych , Radosław Sikorski , ogłosił po rozmowie z_ Condoleezą Rice ,_ że wstępne porozumienie dotyczące warunków umieszczenia w_ Polsce elementów tarczy antyrakietowej zostało osiągnięte ._
Tokens: 1_______ 2____ 3____________ 4 5_______ 6_______ 7 8______ 9_ 10______ 11 12________ 13__ 14 15 16_____ 17__________ 18_______ 19______ 20__________ 21 22____ 23_______ 24____ 25____________ 26_____ 27________ 28

Chunks:
  TruePositive nam [5,6] = Radosław Sikorski (confidence=1.00)
  TruePositive nam [12,13] = Condoleezą Rice (confidence=1.00)
  TruePositive nam [22,22] = Polsce (confidence=0.99)

(ChunkerEvaluator) Sentence #1106 from 00107303 from sent3

Text  : Sikorski przebywa w Waszyngtonie od czwartku , głównie w celu prowadzenia rozmów w_ sprawie tarczy antyrakietowej ._
Tokens: 1_______ 2_______ 3 4___________ 5_ 6_______ 7 8______ 9 10__ 11_________ 12____ 13 14_____ 15____ 16____________ 17

Chunks:
  TruePositive nam [1,1] = Sikorski (confidence=0.89)
  TruePositive nam [4,4] = Waszyngtonie (confidence=1.00)

(ChunkerEvaluator) Sentence #1107 from 00107303 from sent4

Text  : Jednak jeden z głównych warunków postawionych przez MSZ - przekazanie Polsce rakiet Patriot -_ wciąż nie został uzgodniony ._
Tokens: 1_____ 2____ 3 4_______ 5_______ 6___________ 7____ 8__ 9 10_________ 11____ 12____ 13_____ 14 15___ 16_ 17____ 18________ 19

Chunks:
  TruePositive nam [8,8] = MSZ (confidence=1.00)
  TruePositive nam [11,11] = Polsce (confidence=1.00)
  TruePositive nam [13,13] = Patriot (confidence=0.93)

(ChunkerEvaluator) Sentence #1108 from 00107303 from sent5

Text  : Ostateczne ustalenia mogą zapaść w marcu , podczas planowanej wizyty premiera Donalda Tuska w_ Waszyngtonie ._
Tokens: 1_________ 2________ 3___ 4_____ 5 6____ 7 8______ 9_________ 10____ 11______ 12_____ 13___ 14 15__________ 16

Chunks:
  TruePositive nam [12,13] = Donalda Tuska (confidence=1.00)
  TruePositive nam [15,15] = Waszyngtonie (confidence=0.99)

(ChunkerEvaluator) Sentence #1109 from 00107303 from sent6

Text  : Rice oznajmiła też na wspólnej konferencji prasowej , że Stany Zjednoczone chcą wspierać unowocześnianie polskiej armii ,_ co może sugerować ,_ że Stany Zjednoczone jednak przekażą nam rakiety Patriot ._
Tokens: 1___ 2________ 3__ 4_ 5_______ 6__________ 7_______ 8 9_ 10___ 11_________ 12__ 13______ 14_____________ 15______ 16___ 17 18 19__ 20_______ 21 22 23___ 24_________ 25____ 26______ 27_ 28_____ 29_____ 30

Chunks:
  TruePositive nam [10,11] = Stany Zjednoczone (confidence=1.00)
  TruePositive nam [23,24] = Stany Zjednoczone (confidence=1.00)
  TruePositive nam [29,29] = Patriot (confidence=0.99)
  FalseNegative nam [1,1] = Rice

(ChunkerEvaluator) Sentence #1110 from 00107303 from sent7

Text  : Minister zaznaczył , że jedynym celem instalacji elementów tarczy w_ Polsce jest wzmocnienie Polski jako członka NATO oraz że nie jest to działanie wymierzone przeciw jakiemukolwiek innemu państwu ._
Tokens: 1_______ 2________ 3 4_ 5______ 6____ 7_________ 8________ 9_____ 10 11____ 12__ 13_________ 14____ 15__ 16_____ 17__ 18__ 19 20_ 21__ 22 23_______ 24________ 25_____ 26____________ 27____ 28_____ 29

Chunks:
  TruePositive nam [11,11] = Polsce (confidence=1.00)
  TruePositive nam [14,14] = Polski (confidence=1.00)
  TruePositive nam [17,17] = NATO (confidence=0.98)

(ChunkerEvaluator) Sentence #1111 from 00107303 from sent8

Text  : Sikorski wielokrotnie mówił też , że rozmowy na temat tarczy będzie prowadził bardziej zdecydowanie ,_ niż jego poprzednicy w_ rządzie Jarosława Kaczyńskiego i_ że nie zrezygnuje z_ pewnych warunków ,_ które uwzględniają wzmocnienie obrony kraju ,_ gdyż obecność tarczy w_ Polsce spowoduje wzrost zagrożenia atakami ._
Tokens: 1_______ 2___________ 3____ 4__ 5 6_ 7______ 8_ 9____ 10____ 11____ 12_______ 13______ 14__________ 15 16_ 17__ 18_________ 19 20_____ 21_______ 22__________ 23 24 25_ 26________ 27 28_____ 29______ 30 31___ 32__________ 33_________ 34____ 35___ 36 37__ 38______ 39____ 40 41____ 42_______ 43____ 44________ 45_____ 46

Chunks:
  TruePositive nam [1,1] = Sikorski (confidence=0.65)
  TruePositive nam [21,22] = Jarosława Kaczyńskiego (confidence=1.00)
  TruePositive nam [41,41] = Polsce (confidence=1.00)

2017-06-14 20:31:39,966 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 66 from 66: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107345.xml
(ChunkerEvaluator) Sentence #1112 from 00107345 from sent1

Text  : 2009-09-10 : Górski Karabach : w strzelaninie zginęło 5 armeńskich żołnierzy
Tokens: 1_________ 2 3_____ 4_______ 5 6 7___________ 8______ 9 10________ 11_______

Chunks:
  TruePositive nam [3,4] = Górski Karabach (confidence=1.00)

(ChunkerEvaluator) Sentence #1113 from 00107345 from sent2

Text  : W Górskim Karabachu doszło do wymiany ognia między siłami azerskimi i_ armeńskimi w_ wyniku czego poległo 5_ żołnierzy Armenii ._
Tokens: 1 2______ 3________ 4_____ 5_ 6______ 7____ 8_____ 9_____ 10_______ 11 12________ 13 14____ 15___ 16_____ 17 18_______ 19_____ 20

Chunks:
  TruePositive nam [2,3] = Górskim Karabachu (confidence=1.00)
  TruePositive nam [19,19] = Armenii (confidence=1.00)

(ChunkerEvaluator) Sentence #1114 from 00107345 from sent3

Text  : Walka wybuchła azerskim w dystrykcie Agdam przy granicy z Górskim Karabachem ._
Tokens: 1____ 2_______ 3_______ 4 5_________ 6____ 7___ 8______ 9 10_____ 11________ 12

Chunks:
  TruePositive nam [6,6] = Agdam (confidence=1.00)
  TruePositive nam [10,11] = Górskim Karabachem (confidence=1.00)

(ChunkerEvaluator) Sentence #1115 from 00107345 from sent4

Text  : Dotychczas obie strony nie ustosunkowały się do wydarzenia .
Tokens: 1_________ 2___ 3_____ 4__ 5____________ 6__ 7_ 8_________ 9

Chunks:

(ChunkerEvaluator) Sentence #1116 from 00107345 from sent5

Text  : Górski Karabach to terytorium leżące w Azerbejdżanie zajęte przez wojska armeńskie podczas wojny między sąsiadami toczącej się w_ latach 1988 -_ 1994 ._
Tokens: 1_____ 2_______ 3_ 4_________ 5_____ 6 7____________ 8_____ 9____ 10____ 11_______ 12_____ 13___ 14____ 15_______ 16______ 17_ 18 19____ 20__ 21 22__ 23

Chunks:
  TruePositive nam [1,2] = Górski Karabach (confidence=1.00)
  TruePositive nam [7,7] = Azerbejdżanie (confidence=1.00)

(ChunkerEvaluator) Sentence #1117 from 00107345 from sent6

Text  : Nadal sporny jest przede wszystkim status międzynarodowy zarówno Górskiego Karabachu jak i_ korytarza ,_ który łączy go z_ Armenią ._
Tokens: 1____ 2_____ 3___ 4_____ 5________ 6_____ 7_____________ 8______ 9________ 10_______ 11_ 12 13_______ 14 15___ 16___ 17 18 19_____ 20

Chunks:
  TruePositive nam [9,10] = Górskiego Karabachu (confidence=0.96)
  TruePositive nam [19,19] = Armenią (confidence=1.00)

======================================================================================
# Exact match evaluation -- annotation span and types evaluation
======================================================================================
        Annotation                     &      TP &      FP &      FN & Precision & Recall  & F$_1$   \\
\hline
        nam                            &     777 &     168 &     175 &    82.22% &  81.62% &  81.92% \\
\hline
        *TOTAL*                        &     777 &     168 &     175 &    82.22% &  81.62% &  81.92% \\


======================================================================================
# Annotation span evaluation (annotation types are ignored)
======================================================================================
        Annotation                     &      TP &      FP &      FN & Precision & Recall  & F$_1$   \\
\hline
        *TOTAL*                        &     777 &     168 &     175 &    82.22% &  81.62% &  81.92% \\


======================================================================================
# MUC match evaluation
======================================================================================
        Annotation                     &     COR &     ACT &     POS & Precision & Recall  & F$_1$   \\
\hline
        nam                            &    1661 &     229 &     239 &    87.88% &  87.42% &  87.65% \\
\hline
        *TOTAL*                        &    1661 &     229 &     239 &    87.88% &  87.42% &  87.65% \\


====================================================
Processing time
====================================================
1) Model loading        : --h 03m 39s (219346931811ns) 
2) Data reading         : --h --m 00s (162808372ns) 
3) Feature generation   : --h --m 00s (943869947ns) 
4) Chunking             : --h --m 01s (1954451798ns) 
5) Evaluation           : --h --m 01s (1968496496ns) (not in total time)
----------------------------------------------------
## Total time             --h 03m 42s (222408061928ns)
----------------------------------------------------
Tokens           :    18158
Text kB          :      108.68
Tokens  / second :       81.64
Text kB / second :        0.49
----------------------------------------------------
***************************************** FOLD 10 *****************************************
2017-06-14 20:31:39,995 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100527.xml
2017-06-14 20:31:40,002 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 2 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100531.xml
2017-06-14 20:31:40,009 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 3 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101201.xml
2017-06-14 20:31:40,013 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101234.xml
2017-06-14 20:31:40,037 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101263.xml
2017-06-14 20:31:40,063 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101276.xml
2017-06-14 20:31:40,065 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 7 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101294.xml
2017-06-14 20:31:40,083 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 8 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101306.xml
2017-06-14 20:31:40,104 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 9 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101317.xml
2017-06-14 20:31:40,106 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 10 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101350.xml
2017-06-14 20:31:40,113 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 11 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101392.xml
2017-06-14 20:31:40,136 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 12 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101395.xml
2017-06-14 20:31:40,147 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 13 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101398.xml
2017-06-14 20:31:40,149 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 14 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101399.xml
2017-06-14 20:31:40,156 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 15 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101414.xml
2017-06-14 20:31:40,162 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 16 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101434.xml
2017-06-14 20:31:40,173 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 17 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101457.xml
2017-06-14 20:31:40,178 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 18 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101467.xml
2017-06-14 20:31:40,180 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 19 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101480.xml
2017-06-14 20:31:40,184 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 20 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101496.xml
2017-06-14 20:31:40,197 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 21 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101498.xml
2017-06-14 20:31:40,200 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 22 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101514.xml
2017-06-14 20:31:40,226 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 23 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101560.xml
2017-06-14 20:31:40,250 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 24 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101597.xml
2017-06-14 20:31:40,271 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 25 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101607.xml
2017-06-14 20:31:40,297 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 26 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101612.xml
2017-06-14 20:31:40,326 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 27 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101615.xml
2017-06-14 20:31:40,356 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 28 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101741.xml
2017-06-14 20:31:40,383 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 29 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101770.xml
2017-06-14 20:31:40,408 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 30 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101852.xml
2017-06-14 20:31:40,421 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 31 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101868.xml
2017-06-14 20:31:40,423 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 32 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101949.xml
2017-06-14 20:31:40,436 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 33 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102054.xml
2017-06-14 20:31:40,446 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 34 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102109.xml
2017-06-14 20:31:40,455 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 35 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102141.xml
2017-06-14 20:31:40,482 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 36 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102166.xml
2017-06-14 20:31:40,494 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 37 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102354.xml
2017-06-14 20:31:40,518 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 38 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102438.xml
2017-06-14 20:31:40,521 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 39 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102509.xml
2017-06-14 20:31:40,525 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 40 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102512.xml
2017-06-14 20:31:40,536 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 41 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102602.xml
2017-06-14 20:31:40,557 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 42 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102677.xml
2017-06-14 20:31:40,569 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 43 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102685.xml
2017-06-14 20:31:40,572 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 44 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102689.xml
2017-06-14 20:31:40,589 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 45 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102702.xml
2017-06-14 20:31:40,601 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 46 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102707.xml
2017-06-14 20:31:40,621 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 47 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102715.xml
2017-06-14 20:31:40,626 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 48 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103567.xml
2017-06-14 20:31:40,657 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 49 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103570.xml
2017-06-14 20:31:40,698 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 50 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103581.xml
2017-06-14 20:31:40,721 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 51 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103594.xml
2017-06-14 20:31:40,730 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 52 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103746.xml
2017-06-14 20:31:40,732 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 53 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103872.xml
2017-06-14 20:31:40,743 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 54 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103875.xml
2017-06-14 20:31:40,757 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 55 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103895.xml
2017-06-14 20:31:40,765 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 56 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103900.xml
2017-06-14 20:31:40,788 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 57 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103915.xml
2017-06-14 20:31:40,794 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 58 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103937.xml
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2017-06-14 20:31:45,642 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 383 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102097.xml
2017-06-14 20:31:45,647 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 384 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102124.xml
2017-06-14 20:31:45,655 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 385 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102134.xml
2017-06-14 20:31:45,672 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 386 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102348.xml
2017-06-14 20:31:45,692 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 387 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102386.xml
2017-06-14 20:31:45,713 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 388 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102395.xml
2017-06-14 20:31:45,733 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 389 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102502.xml
2017-06-14 20:31:45,748 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 390 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102603.xml
2017-06-14 20:31:45,769 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 391 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102690.xml
2017-06-14 20:31:45,781 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 392 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103579.xml
2017-06-14 20:31:45,812 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 393 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103582.xml
2017-06-14 20:31:45,847 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 394 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103584.xml
2017-06-14 20:31:45,872 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 395 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103592.xml
2017-06-14 20:31:45,899 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 396 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103596.xml
2017-06-14 20:31:45,920 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 397 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103672.xml
2017-06-14 20:31:45,941 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 398 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103716.xml
2017-06-14 20:31:45,950 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 399 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103886.xml
2017-06-14 20:31:45,955 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 400 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103891.xml
2017-06-14 20:31:45,958 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 401 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103939.xml
2017-06-14 20:31:45,976 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 402 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103954.xml
2017-06-14 20:31:45,996 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 403 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107280.xml
2017-06-14 20:31:46,011 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 404 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107284.xml
2017-06-14 20:31:46,031 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 405 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107287.xml
2017-06-14 20:31:46,044 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 406 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107307.xml
2017-06-14 20:31:46,059 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 407 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107309.xml
2017-06-14 20:31:46,076 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 408 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107323.xml
2017-06-14 20:31:46,087 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 409 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00099883.xml
2017-06-14 20:31:46,092 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 410 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100507.xml
2017-06-14 20:31:46,097 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 411 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100533.xml
2017-06-14 20:31:46,123 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 412 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100632.xml
2017-06-14 20:31:46,168 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 413 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101170.xml
2017-06-14 20:31:46,184 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 414 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101204.xml
2017-06-14 20:31:46,197 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 415 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101212.xml
2017-06-14 20:31:46,212 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 416 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101233.xml
2017-06-14 20:31:46,219 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 417 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101248.xml
2017-06-14 20:31:46,245 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 418 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101257.xml
2017-06-14 20:31:46,273 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 419 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101336.xml
2017-06-14 20:31:46,284 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 420 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101352.xml
2017-06-14 20:31:46,310 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 421 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101371.xml
2017-06-14 20:31:46,312 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 422 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101402.xml
2017-06-14 20:31:46,318 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 423 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101541.xml
2017-06-14 20:31:46,344 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 424 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101545.xml
2017-06-14 20:31:46,349 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 425 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101554.xml
2017-06-14 20:31:46,373 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 426 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101590.xml
2017-06-14 20:31:46,401 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 427 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101614.xml
2017-06-14 20:31:46,423 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 428 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101755.xml
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2017-06-14 20:31:46,557 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 436 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101968.xml
2017-06-14 20:31:46,581 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 437 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102049.xml
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2017-06-14 20:31:46,611 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 440 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102126.xml
2017-06-14 20:31:46,623 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 441 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102156.xml
2017-06-14 20:31:46,646 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 442 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102161.xml
2017-06-14 20:31:46,668 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 443 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102235.xml
2017-06-14 20:31:46,674 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 444 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102272.xml
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2017-06-14 20:31:46,693 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 447 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102432.xml
2017-06-14 20:31:46,708 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 448 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102434.xml
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2017-06-14 20:31:46,729 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 450 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102445.xml
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2017-06-14 20:31:46,759 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 454 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102506.xml
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2017-06-14 20:31:46,794 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 456 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102681.xml
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2017-06-14 20:31:46,827 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 459 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103641.xml
2017-06-14 20:31:46,851 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 460 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103707.xml
2017-06-14 20:31:46,868 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 461 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103739.xml
2017-06-14 20:31:46,874 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 462 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103745.xml
2017-06-14 20:31:46,879 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 463 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103878.xml
2017-06-14 20:31:46,899 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 464 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103923.xml
2017-06-14 20:31:46,922 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 465 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107242.xml
2017-06-14 20:31:46,943 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 466 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107250.xml
2017-06-14 20:31:46,962 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 467 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107255.xml
2017-06-14 20:31:46,980 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 468 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107291.xml
2017-06-14 20:31:46,996 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 469 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107322.xml
2017-06-14 20:31:47,004 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 470 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107346.xml
2017-06-14 20:31:47,015 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 471 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107350.xml
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2017-06-14 20:31:47,038 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 473 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100523.xml
2017-06-14 20:31:47,056 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 474 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100623.xml
2017-06-14 20:31:47,066 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 475 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100624.xml
2017-06-14 20:31:47,091 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 476 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101203.xml
2017-06-14 20:31:47,101 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 477 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101207.xml
2017-06-14 20:31:47,107 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 478 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101214.xml
2017-06-14 20:31:47,125 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 479 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101261.xml
2017-06-14 20:31:47,137 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 480 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101285.xml
2017-06-14 20:31:47,165 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 481 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101293.xml
2017-06-14 20:31:47,168 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 482 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101334.xml
2017-06-14 20:31:47,175 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 483 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101344.xml
2017-06-14 20:31:47,194 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 484 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101374.xml
2017-06-14 20:31:47,203 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 485 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101388.xml
2017-06-14 20:31:47,204 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 486 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101464.xml
2017-06-14 20:31:47,217 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 487 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101469.xml
2017-06-14 20:31:47,237 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 488 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101470.xml
2017-06-14 20:31:47,239 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 489 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101474.xml
2017-06-14 20:31:47,240 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 490 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101481.xml
2017-06-14 20:31:47,243 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 491 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101507.xml
2017-06-14 20:31:47,256 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 492 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101531.xml
2017-06-14 20:31:47,286 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 493 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101535.xml
2017-06-14 20:31:47,333 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 494 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101564.xml
2017-06-14 20:31:47,361 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 495 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101582.xml
2017-06-14 20:31:47,384 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 496 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101595.xml
2017-06-14 20:31:47,420 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 497 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101596.xml
2017-06-14 20:31:47,444 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 498 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101642.xml
2017-06-14 20:31:47,472 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 499 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101745.xml
2017-06-14 20:31:47,485 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 500 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101747.xml
2017-06-14 20:31:47,501 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 501 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101748.xml
2017-06-14 20:31:47,515 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 502 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101750.xml
2017-06-14 20:31:47,544 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 503 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101760.xml
2017-06-14 20:31:47,554 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 504 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101765.xml
2017-06-14 20:31:47,582 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 505 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101788.xml
2017-06-14 20:31:47,605 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 506 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101871.xml
2017-06-14 20:31:47,613 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 507 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101883.xml
2017-06-14 20:31:47,626 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 508 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101886.xml
2017-06-14 20:31:47,648 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 509 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101934.xml
2017-06-14 20:31:47,669 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 510 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102023.xml
2017-06-14 20:31:47,686 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 511 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102026.xml
2017-06-14 20:31:47,710 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 512 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102030.xml
2017-06-14 20:31:47,719 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 513 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102040.xml
2017-06-14 20:31:47,735 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 514 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102059.xml
2017-06-14 20:31:47,744 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 515 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102125.xml
2017-06-14 20:31:47,751 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 516 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102260.xml
2017-06-14 20:31:47,773 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 517 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102262.xml
2017-06-14 20:31:47,801 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 518 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102270.xml
2017-06-14 20:31:47,818 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 519 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102274.xml
2017-06-14 20:31:47,843 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 520 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102314.xml
2017-06-14 20:31:47,859 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 521 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102377.xml
2017-06-14 20:31:47,875 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 522 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102393.xml
2017-06-14 20:31:47,892 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 523 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102427.xml
2017-06-14 20:31:47,904 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 524 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102472.xml
2017-06-14 20:31:47,905 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 525 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102498.xml
2017-06-14 20:31:47,918 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 526 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102499.xml
2017-06-14 20:31:47,924 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 527 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102608.xml
2017-06-14 20:31:47,945 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 528 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102668.xml
2017-06-14 20:31:47,954 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 529 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102679.xml
2017-06-14 20:31:47,961 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 530 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102712.xml
2017-06-14 20:31:47,964 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 531 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102717.xml
2017-06-14 20:31:47,984 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 532 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103634.xml
2017-06-14 20:31:48,016 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 533 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103678.xml
2017-06-14 20:31:48,028 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 534 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103713.xml
2017-06-14 20:31:48,043 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 535 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103874.xml
2017-06-14 20:31:48,056 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 536 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103898.xml
2017-06-14 20:31:48,072 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 537 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103914.xml
2017-06-14 20:31:48,086 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 538 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103924.xml
2017-06-14 20:31:48,108 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 539 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103927.xml
2017-06-14 20:31:48,129 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 540 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103935.xml
2017-06-14 20:31:48,150 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 541 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107240.xml
2017-06-14 20:31:48,154 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 542 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107263.xml
2017-06-14 20:31:48,159 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 543 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107282.xml
2017-06-14 20:31:48,172 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 544 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107319.xml
2017-06-14 20:31:48,188 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 545 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100539.xml
2017-06-14 20:31:48,211 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 546 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100629.xml
2017-06-14 20:31:48,217 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 547 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100641.xml
2017-06-14 20:31:48,242 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 548 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101165.xml
2017-06-14 20:31:48,270 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 549 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101177.xml
2017-06-14 20:31:48,276 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 550 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101211.xml
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2017-06-14 20:31:48,284 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 552 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101288.xml
2017-06-14 20:31:48,292 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 553 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101321.xml
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2017-06-14 20:31:48,301 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 556 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101361.xml
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2017-06-14 20:31:48,320 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 558 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101404.xml
2017-06-14 20:31:48,337 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 559 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101415.xml
2017-06-14 20:31:48,356 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 560 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101419.xml
2017-06-14 20:31:48,380 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 561 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101439.xml
2017-06-14 20:31:48,402 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 562 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101454.xml
2017-06-14 20:31:48,412 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 563 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101465.xml
2017-06-14 20:31:48,426 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 564 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101517.xml
2017-06-14 20:31:48,449 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 565 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101542.xml
2017-06-14 20:31:48,462 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 566 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101583.xml
2017-06-14 20:31:48,488 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 567 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101592.xml
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2017-06-14 20:31:48,575 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 570 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101757.xml
2017-06-14 20:31:48,592 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 571 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101758.xml
2017-06-14 20:31:48,620 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 572 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101791.xml
2017-06-14 20:31:48,635 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 573 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101876.xml
2017-06-14 20:31:48,646 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 574 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101909.xml
2017-06-14 20:31:48,652 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 575 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101932.xml
2017-06-14 20:31:48,676 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 576 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101948.xml
2017-06-14 20:31:48,697 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 577 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101951.xml
2017-06-14 20:31:48,715 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 578 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102018.xml
2017-06-14 20:31:48,734 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 579 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102024.xml
2017-06-14 20:31:48,755 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 580 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102064.xml
2017-06-14 20:31:48,775 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 581 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102066.xml
2017-06-14 20:31:48,783 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 582 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102112.xml
2017-06-14 20:31:48,787 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 583 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102150.xml
2017-06-14 20:31:48,808 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 584 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102353.xml
2017-06-14 20:31:48,841 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 585 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102355.xml
2017-06-14 20:31:48,870 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 586 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102419.xml
2017-06-14 20:31:48,884 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 587 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102423.xml
2017-06-14 20:31:48,894 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 588 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102443.xml
2017-06-14 20:31:48,905 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 589 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102500.xml
2017-06-14 20:31:48,923 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 590 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102672.xml
2017-06-14 20:31:48,929 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 591 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102680.xml
2017-06-14 20:31:48,940 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 592 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102696.xml
2017-06-14 20:31:48,950 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 593 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102699.xml
2017-06-14 20:31:48,955 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 594 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103574.xml
2017-06-14 20:31:48,979 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 595 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103588.xml
2017-06-14 20:31:49,018 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 596 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103589.xml
2017-06-14 20:31:49,046 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 597 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103703.xml
2017-06-14 20:31:49,053 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 598 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103877.xml
2017-06-14 20:31:49,078 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 599 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103888.xml
2017-06-14 20:31:49,099 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 600 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103892.xml
2017-06-14 20:31:49,117 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 601 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103901.xml
2017-06-14 20:31:49,125 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 602 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103917.xml
2017-06-14 20:31:49,144 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 603 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103940.xml
2017-06-14 20:31:49,163 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 604 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103953.xml
2017-06-14 20:31:49,183 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 605 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107248.xml
2017-06-14 20:31:49,217 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 606 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107253.xml
2017-06-14 20:31:49,229 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 607 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107258.xml
2017-06-14 20:31:49,242 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 608 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107296.xml
2017-06-14 20:31:49,258 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 609 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107303.xml
2017-06-14 20:31:49,271 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 610 from 610: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107345.xml
2017-06-14 20:31:49,277 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100500.xml
2017-06-14 20:31:49,286 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 2 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100505.xml
2017-06-14 20:31:49,291 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 3 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100521.xml
2017-06-14 20:31:49,305 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100599.xml
2017-06-14 20:31:49,320 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100601.xml
2017-06-14 20:31:49,373 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100622.xml
2017-06-14 20:31:49,378 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 7 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101187.xml
2017-06-14 20:31:49,401 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 8 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101219.xml
2017-06-14 20:31:49,408 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 9 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101227.xml
2017-06-14 20:31:49,421 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 10 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101229.xml
2017-06-14 20:31:49,424 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 11 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101236.xml
2017-06-14 20:31:49,447 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 12 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101265.xml
2017-06-14 20:31:49,459 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 13 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101279.xml
2017-06-14 20:31:49,462 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 14 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101280.xml
2017-06-14 20:31:49,476 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 15 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101287.xml
2017-06-14 20:31:49,480 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 16 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101305.xml
2017-06-14 20:31:49,483 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 17 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101356.xml
2017-06-14 20:31:49,492 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 18 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101389.xml
2017-06-14 20:31:49,495 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 19 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101390.xml
2017-06-14 20:31:49,504 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 20 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101405.xml
2017-06-14 20:31:49,507 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 21 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101438.xml
2017-06-14 20:31:49,512 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 22 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101456.xml
2017-06-14 20:31:49,524 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 23 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101486.xml
2017-06-14 20:31:49,531 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 24 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101516.xml
2017-06-14 20:31:49,556 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 25 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101520.xml
2017-06-14 20:31:49,580 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 26 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101544.xml
2017-06-14 20:31:49,594 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 27 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101550.xml
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2017-06-14 20:31:49,670 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 31 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101705.xml
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2017-06-14 20:31:49,709 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 33 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101766.xml
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2017-06-14 20:31:49,765 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 36 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101848.xml
2017-06-14 20:31:49,771 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 37 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101849.xml
2017-06-14 20:31:49,783 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 38 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101877.xml
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2017-06-14 20:31:49,900 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 44 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102044.xml
2017-06-14 20:31:49,915 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 45 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102087.xml
2017-06-14 20:31:49,920 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 46 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102152.xml
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2017-06-14 20:31:50,248 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 67 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107272.xml
2017-06-14 20:31:50,263 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 68 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107297.xml
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2017-06-14 20:31:50,291 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 70 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107362.xml
-> Setting up chunker: chunker_c1
(TokenFeatureGenerator) Loading features...
[orth, base, ctag, synonym, hypernym-1, hypernym-2, hypernym-3, top4hyper-1, top4hyper-2, top4hyper-3, class, case, number, gender, pattern, prefix-1, prefix-2, prefix-3, prefix-4, suffix-1, suffix-2, suffix-3, suffix-4, all_alphanumeric, all_digits, all_letters, all_upper, has_upper_case, has_lower_case, has_symbol, has_digit, starts_with_upper_case, starts_with_lower_case, starts_with_symbol, starts_with_digit, is_number, no_alphanumeric, no_letters, struct, length, dict_person_first_nam, dict_person_last_nam, dict_country_nam, dict_city_nam, dict_road_nam, dict_person_prefix, dict_person_noun, dict_person_suffix, dict_road_prefix, dict_country_prefix, dict_trigger_int_bloc, dict_trigger_ext_bloc, dict_trigger_int_country, dict_trigger_ext_country, dict_trigger_int_district, dict_trigger_ext_district, dict_trigger_int_geogName, dict_trigger_ext_geogName, dict_trigger_int_orgName, dict_trigger_ext_orgName, dict_trigger_int_persName, dict_trigger_ext_persName, dict_trigger_int_region, dict_trigger_ext_region, dict_trigger_int_settlement, dict_trigger_ext_settlement, agr1, parenthesis, quotation, nospace]
--> CRFPP Chunker train
--> Training on file={CV_TRAIN}
(TemplateFactory) parsing template: /home/czuk/nlp/eclipse/workspace_liner2/liner2_master/../models-workdir/liner2.5/liner25_model_ner_kpwr12/ini/template-jrip.txt
(TemplateFactory) Adding feature:orth:-2:-1:0:1:2
(TemplateFactory) feature:orth:-2:-1:0:1:2
(TemplateFactory) Adding feature:base:-2:-1:0:1:2
(TemplateFactory) feature:base:-2:-1:0:1:2
(TemplateFactory) Adding feature:synonym:-2:-1:0:1:2
(TemplateFactory) feature:synonym:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-1:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-2:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-2:-2:-1:0:1:2
(TemplateFactory) Adding feature:hypernym-3:-2:-1:0:1:2
(TemplateFactory) feature:hypernym-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:class:-1:0:1
(TemplateFactory) feature:class:-1:0:1
(TemplateFactory) Adding feature:case:0
(TemplateFactory) feature:case:0
(TemplateFactory) Adding feature:gender:-2:-1:0:1:2
(TemplateFactory) feature:gender:-2:-1:0:1:2
(TemplateFactory) Adding feature:pattern:0
(TemplateFactory) feature:pattern:0
(TemplateFactory) Adding feature:prefix-1:-2:-1:0:1:2
(TemplateFactory) feature:prefix-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:prefix-3:-2:-1:0:1:2
(TemplateFactory) feature:prefix-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:prefix-4:-2:-1:0:1:2
(TemplateFactory) feature:prefix-4:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-1:-2:-1:0:1:2
(TemplateFactory) feature:suffix-1:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-2:-2:-1:0:1:2
(TemplateFactory) feature:suffix-2:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-3:-2:-1:0:1:2
(TemplateFactory) feature:suffix-3:-2:-1:0:1:2
(TemplateFactory) Adding feature:suffix-4:-2:-1:0:1:2
(TemplateFactory) feature:suffix-4:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_upper_case:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_upper_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_lower_case:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_lower_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_symbol:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_symbol:-2:-1:0:1:2
(TemplateFactory) Adding feature:starts_with_digit:-2:-1:0:1:2
(TemplateFactory) feature:starts_with_digit:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_upper_case:-2:-1:0:1:2
(TemplateFactory) feature:has_upper_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_lower_case:-2:-1:0:1:2
(TemplateFactory) feature:has_lower_case:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_symbol:-2:-1:0:1:2
(TemplateFactory) feature:has_symbol:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_digit:-2:-1:0:1:2
(TemplateFactory) feature:has_digit:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_first_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_first_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_last_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_last_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_country_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_country_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_city_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_city_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_road_nam:-2:-1:0:1:2
(TemplateFactory) feature:dict_road_nam:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_noun:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_noun:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_person_suffix:-2:-1:0:1:2
(TemplateFactory) feature:dict_person_suffix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_road_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_road_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_country_prefix:-2:-1:0:1:2
(TemplateFactory) feature:dict_country_prefix:-2:-1:0:1:2
(TemplateFactory) Adding feature:base:-4/dict_person_first_nam:-3/dict_person_last_nam:-2/base:-1/dict_person_last_nam:0
(TemplateFactory) feature:base:-4/dict_person_first_nam:-3/dict_person_last_nam:-2/base:-1/dict_person_last_nam:0
(TemplateFactory) Adding feature:dict_trigger_int_bloc:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_bloc:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_bloc:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_bloc:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_country:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_country:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_country:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_country:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_district:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_district:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_district:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_district:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_geogName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_geogName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_geogName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_geogName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_orgName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_orgName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_orgName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_orgName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_persName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_persName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_persName:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_persName:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_region:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_region:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_region:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_region:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_int_settlement:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_int_settlement:-2:-1:0:1:2
(TemplateFactory) Adding feature:dict_trigger_ext_settlement:-2:-1:0:1:2
(TemplateFactory) feature:dict_trigger_ext_settlement:-2:-1:0:1:2
(TemplateFactory) Adding feature:agr1:-2:-1:0:1:2
(TemplateFactory) feature:agr1:-2:-1:0:1:2
(TemplateFactory) Adding feature:nospace:-2:-1:0:1:2
(TemplateFactory) feature:nospace:-2:-1:0:1:2
(TemplateFactory) Adding feature:parenthesis:-2:-1:0:1:2
(TemplateFactory) feature:parenthesis:-2:-1:0:1:2
(TemplateFactory) Adding feature:quotation:-2:-1:0:1:2
(TemplateFactory) feature:quotation:-2:-1:0:1:2
(TemplateFactory) Adding feature:length:-2:-1:0:1:2
(TemplateFactory) feature:length:-2:-1:0:1:2
(TemplateFactory) Adding feature:has_upper_case:0/agr1:-1/pattern:2/has_upper_case:-1/case:0/number:-1
(TemplateFactory) feature:has_upper_case:0/agr1:-1/pattern:2/has_upper_case:-1/case:0/number:-1
(TemplateFactory) Adding feature:has_upper_case:0/all_digits:-1/all_upper:-2/length:1/nospace:1
(TemplateFactory) feature:has_upper_case:0/all_digits:-1/all_upper:-2/length:1/nospace:1
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/ctag:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/ctag:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/has_upper_case:1
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/has_upper_case:1
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/agr1:1/pattern:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/agr1:1/pattern:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/class:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/pattern:-1/pattern:-2/class:0
(TemplateFactory) Adding feature:has_upper_case:0/all_upper:-1/starts_with_digit:-2/starts_with_lower_case:1/case:0
(TemplateFactory) feature:has_upper_case:0/all_upper:-1/starts_with_digit:-2/starts_with_lower_case:1/case:0
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/has_upper_case:1
(TemplateFactory) feature:has_upper_case:0/ctag:0/has_upper_case:1
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/parenthesis:0/class:2/agr1:2
(TemplateFactory) feature:has_upper_case:0/ctag:0/parenthesis:0/class:2/agr1:2
(TemplateFactory) Adding feature:has_upper_case:0/ctag:0/suffix-1:0
(TemplateFactory) feature:has_upper_case:0/ctag:0/suffix-1:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/all_upper:-2/all_alphanumeric:2/starts_with_lower_case:2/all_alphanumeric:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/all_upper:-2/all_alphanumeric:2/starts_with_lower_case:2/all_alphanumeric:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_digit:-2/has_lower_case:0/nospace:-1/nospace:-2/ctag:-1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_digit:-2/has_lower_case:0/nospace:-1/nospace:-2/ctag:-1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-1/all_alphanumeric:2/class:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-1/all_alphanumeric:2/class:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/all_letters:-1/ctag:0/all_alphanumeric:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/all_letters:-1/ctag:0/all_alphanumeric:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/length:1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/length:1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/starts_with_lower_case:1/orth:-1
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/has_lower_case:-2/starts_with_lower_case:1/orth:-1
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/pattern:-1/class:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/pattern:-1/class:0
(TemplateFactory) Adding feature:has_upper_case:0/dict_person_first_nam:-1/pattern:1/parenthesis:0
(TemplateFactory) feature:has_upper_case:0/dict_person_first_nam:-1/pattern:1/parenthesis:0
(TemplateFactory) Adding feature:has_upper_case:0/starts_with_lower_case:1/case:0/orth:2
(TemplateFactory) feature:has_upper_case:0/starts_with_lower_case:1/case:0/orth:2
(TemplateFactory) Adding feature:has_upper_case:0/starts_with_lower_case:1/case:0/pattern:1/agr1:1/gender:0
(TemplateFactory) feature:has_upper_case:0/starts_with_lower_case:1/case:0/pattern:1/agr1:1/gender:0
(TemplateFactory) Adding feature:has_upper_case:-1/has_upper_case:0/nospace:-2/pattern:0
(TemplateFactory) feature:has_upper_case:-1/has_upper_case:0/nospace:-2/pattern:0
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/all_letters:1/orth:0/starts_with_lower_case:-2
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/all_letters:1/orth:0/starts_with_lower_case:-2
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/orth:0/nospace:-1
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/orth:0/nospace:-1
(TemplateFactory) Adding feature:has_upper_case:-1/starts_with_lower_case:1/parenthesis:-2/class:-2/orth:-1
(TemplateFactory) feature:has_upper_case:-1/starts_with_lower_case:1/parenthesis:-2/class:-2/orth:-1
(TemplateFactory) Adding feature:has_upper_case:-2/has_upper_case:0/orth:-1/nospace:-2
(TemplateFactory) feature:has_upper_case:-2/has_upper_case:0/orth:-1/nospace:-2
(TemplateFactory) Adding feature:has_upper_case:-2/starts_with_upper_case:0/orth:-1
(TemplateFactory) feature:has_upper_case:-2/starts_with_upper_case:0/orth:-1
(TemplateFactory) Adding feature:starts_with_lower_case:-1/has_upper_case:0/case:-1/case:2
(TemplateFactory) feature:starts_with_lower_case:-1/has_upper_case:0/case:-1/case:2
(TemplateFactory) Adding feature:starts_with_lower_case:-1/has_upper_case:0/pattern:-1/ctag:-1/pattern:0
(TemplateFactory) feature:starts_with_lower_case:-1/has_upper_case:0/pattern:-1/ctag:-1/pattern:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_lower_case:-1/all_letters:-1/parenthesis:-2/pattern:1/length:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_lower_case:-1/all_letters:-1/parenthesis:-2/pattern:1/length:0
(TemplateFactory) Adding feature:starts_with_lower_case:-1/starts_with_upper_case:0/class:-1/agr1:0/gender:-1
(TemplateFactory) feature:starts_with_lower_case:-1/starts_with_upper_case:0/class:-1/agr1:0/gender:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/class:-2/no_letters:0/length:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/class:-2/no_letters:0/length:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/agr1:-2/ctag:-2
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/agr1:-2/ctag:-2
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/case:-1/ctag:0
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-1/parenthesis:-2/case:-1/ctag:0
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/ctag:-2/struct:-2
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/ctag:-2/struct:-2
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/quotation:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/agr1:-2/quotation:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/pattern:0/length:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/pattern:0/length:-1
(TemplateFactory) Adding feature:starts_with_lower_case:1/starts_with_upper_case:-2/starts_with_upper_case:0/length:-1/ctag:-1
(TemplateFactory) feature:starts_with_lower_case:1/starts_with_upper_case:-2/starts_with_upper_case:0/length:-1/ctag:-1
(TemplateFactory) Adding feature:starts_with_upper_case:0/agr1:-1/gender:0/number:0
(TemplateFactory) feature:starts_with_upper_case:0/agr1:-1/gender:0/number:0
(TemplateFactory) Adding feature:starts_with_upper_case:0/agr1:-1/orth:-1/class:-2
(TemplateFactory) feature:starts_with_upper_case:0/agr1:-1/orth:-1/class:-2
(TemplateFactory) Adding feature:starts_with_upper_case:0/class:0/gender:0/prefix-1:0/all_alphanumeric:1
(TemplateFactory) feature:starts_with_upper_case:0/class:0/gender:0/prefix-1:0/all_alphanumeric:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/class:0/starts_with_lower_case:1/struct:2/agr1:1
(TemplateFactory) feature:starts_with_upper_case:0/class:0/starts_with_lower_case:1/struct:2/agr1:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/ctag:0/parenthesis:0/class:1
(TemplateFactory) feature:starts_with_upper_case:0/ctag:0/parenthesis:0/class:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/dict_person_first_nam:-1/class:0/parenthesis:2/ctag:0
(TemplateFactory) feature:starts_with_upper_case:0/dict_person_first_nam:-1/class:0/parenthesis:2/ctag:0
(TemplateFactory) Adding feature:starts_with_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/has_digit:-2/gender:1
(TemplateFactory) feature:starts_with_upper_case:0/dict_person_first_nam:-1/has_lower_case:2/has_digit:-2/gender:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/starts_with_lower_case:1/case:0/suffix-2:1
(TemplateFactory) feature:starts_with_upper_case:0/starts_with_lower_case:1/case:0/suffix-2:1
(TemplateFactory) Adding feature:starts_with_upper_case:0/starts_with_lower_case:1/pattern:1/length:2/nospace:1/case:0/ctag:2
(TemplateFactory) feature:starts_with_upper_case:0/starts_with_lower_case:1/pattern:1/length:2/nospace:1/case:0/ctag:2
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_lower_case:1/all_digits:-2/has_upper_case:1/orth:0
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_lower_case:1/all_digits:-2/has_upper_case:1/orth:0
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_lower_case:1/starts_with_upper_case:0/nospace:2/gender:-1
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_lower_case:1/starts_with_upper_case:0/nospace:2/gender:-1
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/agr1:1/has_lower_case:2
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/agr1:1/has_lower_case:2
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/nospace:0
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/all_upper:-2/nospace:0
(TemplateFactory) Adding feature:starts_with_upper_case:-1/starts_with_upper_case:0/pattern:2/suffix-1:-1
(TemplateFactory) feature:starts_with_upper_case:-1/starts_with_upper_case:0/pattern:2/suffix-1:-1
Loading training data for CRF from document:00100527
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Training CRF classifer using features:
orth[-2]
orth[-1]
orth[0]
orth[1]
orth[2]
base[-2]
base[-1]
base[0]
base[1]
base[2]
synonym[-2]
synonym[-1]
synonym[0]
synonym[1]
synonym[2]
hypernym-1[-2]
hypernym-1[-1]
hypernym-1[0]
hypernym-1[1]
hypernym-1[2]
hypernym-2[-2]
hypernym-2[-1]
hypernym-2[0]
hypernym-2[1]
hypernym-2[2]
hypernym-3[-2]
hypernym-3[-1]
hypernym-3[0]
hypernym-3[1]
hypernym-3[2]
class[-1]
class[0]
class[1]
case[0]
gender[-2]
gender[-1]
gender[0]
gender[1]
gender[2]
pattern[0]
prefix-1[-2]
prefix-1[-1]
prefix-1[0]
prefix-1[1]
prefix-1[2]
prefix-3[-2]
prefix-3[-1]
prefix-3[0]
prefix-3[1]
prefix-3[2]
prefix-4[-2]
prefix-4[-1]
prefix-4[0]
prefix-4[1]
prefix-4[2]
suffix-1[-2]
suffix-1[-1]
suffix-1[0]
suffix-1[1]
suffix-1[2]
suffix-2[-2]
suffix-2[-1]
suffix-2[0]
suffix-2[1]
suffix-2[2]
suffix-3[-2]
suffix-3[-1]
suffix-3[0]
suffix-3[1]
suffix-3[2]
suffix-4[-2]
suffix-4[-1]
suffix-4[0]
suffix-4[1]
suffix-4[2]
starts_with_upper_case[-2]
starts_with_upper_case[-1]
starts_with_upper_case[0]
starts_with_upper_case[1]
starts_with_upper_case[2]
starts_with_lower_case[-2]
starts_with_lower_case[-1]
starts_with_lower_case[0]
starts_with_lower_case[1]
starts_with_lower_case[2]
starts_with_symbol[-2]
starts_with_symbol[-1]
starts_with_symbol[0]
starts_with_symbol[1]
starts_with_symbol[2]
starts_with_digit[-2]
starts_with_digit[-1]
starts_with_digit[0]
starts_with_digit[1]
starts_with_digit[2]
has_upper_case[-2]
has_upper_case[-1]
has_upper_case[0]
has_upper_case[1]
has_upper_case[2]
has_lower_case[-2]
has_lower_case[-1]
has_lower_case[0]
has_lower_case[1]
has_lower_case[2]
has_symbol[-2]
has_symbol[-1]
has_symbol[0]
has_symbol[1]
has_symbol[2]
has_digit[-2]
has_digit[-1]
has_digit[0]
has_digit[1]
has_digit[2]
dict_person_first_nam[-2]
dict_person_first_nam[-1]
dict_person_first_nam[0]
dict_person_first_nam[1]
dict_person_first_nam[2]
dict_person_last_nam[-2]
dict_person_last_nam[-1]
dict_person_last_nam[0]
dict_person_last_nam[1]
dict_person_last_nam[2]
dict_country_nam[-2]
dict_country_nam[-1]
dict_country_nam[0]
dict_country_nam[1]
dict_country_nam[2]
dict_city_nam[-2]
dict_city_nam[-1]
dict_city_nam[0]
dict_city_nam[1]
dict_city_nam[2]
dict_road_nam[-2]
dict_road_nam[-1]
dict_road_nam[0]
dict_road_nam[1]
dict_road_nam[2]
dict_person_prefix[-2]
dict_person_prefix[-1]
dict_person_prefix[0]
dict_person_prefix[1]
dict_person_prefix[2]
dict_person_noun[-2]
dict_person_noun[-1]
dict_person_noun[0]
dict_person_noun[1]
dict_person_noun[2]
dict_person_suffix[-2]
dict_person_suffix[-1]
dict_person_suffix[0]
dict_person_suffix[1]
dict_person_suffix[2]
dict_road_prefix[-2]
dict_road_prefix[-1]
dict_road_prefix[0]
dict_road_prefix[1]
dict_road_prefix[2]
dict_country_prefix[-2]
dict_country_prefix[-1]
dict_country_prefix[0]
dict_country_prefix[1]
dict_country_prefix[2]
base[-4]_dict_person_first_nam[-3]_dict_person_last_nam[-2]_base[-1]_dict_person_last_nam[0]
dict_trigger_int_bloc[-2]
dict_trigger_int_bloc[-1]
dict_trigger_int_bloc[0]
dict_trigger_int_bloc[1]
dict_trigger_int_bloc[2]
dict_trigger_ext_bloc[-2]
dict_trigger_ext_bloc[-1]
dict_trigger_ext_bloc[0]
dict_trigger_ext_bloc[1]
dict_trigger_ext_bloc[2]
dict_trigger_int_country[-2]
dict_trigger_int_country[-1]
dict_trigger_int_country[0]
dict_trigger_int_country[1]
dict_trigger_int_country[2]
dict_trigger_ext_country[-2]
dict_trigger_ext_country[-1]
dict_trigger_ext_country[0]
dict_trigger_ext_country[1]
dict_trigger_ext_country[2]
dict_trigger_int_district[-2]
dict_trigger_int_district[-1]
dict_trigger_int_district[0]
dict_trigger_int_district[1]
dict_trigger_int_district[2]
dict_trigger_ext_district[-2]
dict_trigger_ext_district[-1]
dict_trigger_ext_district[0]
dict_trigger_ext_district[1]
dict_trigger_ext_district[2]
dict_trigger_int_geogName[-2]
dict_trigger_int_geogName[-1]
dict_trigger_int_geogName[0]
dict_trigger_int_geogName[1]
dict_trigger_int_geogName[2]
dict_trigger_ext_geogName[-2]
dict_trigger_ext_geogName[-1]
dict_trigger_ext_geogName[0]
dict_trigger_ext_geogName[1]
dict_trigger_ext_geogName[2]
dict_trigger_int_orgName[-2]
dict_trigger_int_orgName[-1]
dict_trigger_int_orgName[0]
dict_trigger_int_orgName[1]
dict_trigger_int_orgName[2]
dict_trigger_ext_orgName[-2]
dict_trigger_ext_orgName[-1]
dict_trigger_ext_orgName[0]
dict_trigger_ext_orgName[1]
dict_trigger_ext_orgName[2]
dict_trigger_int_persName[-2]
dict_trigger_int_persName[-1]
dict_trigger_int_persName[0]
dict_trigger_int_persName[1]
dict_trigger_int_persName[2]
dict_trigger_ext_persName[-2]
dict_trigger_ext_persName[-1]
dict_trigger_ext_persName[0]
dict_trigger_ext_persName[1]
dict_trigger_ext_persName[2]
dict_trigger_int_region[-2]
dict_trigger_int_region[-1]
dict_trigger_int_region[0]
dict_trigger_int_region[1]
dict_trigger_int_region[2]
dict_trigger_ext_region[-2]
dict_trigger_ext_region[-1]
dict_trigger_ext_region[0]
dict_trigger_ext_region[1]
dict_trigger_ext_region[2]
dict_trigger_int_settlement[-2]
dict_trigger_int_settlement[-1]
dict_trigger_int_settlement[0]
dict_trigger_int_settlement[1]
dict_trigger_int_settlement[2]
dict_trigger_ext_settlement[-2]
dict_trigger_ext_settlement[-1]
dict_trigger_ext_settlement[0]
dict_trigger_ext_settlement[1]
dict_trigger_ext_settlement[2]
agr1[-2]
agr1[-1]
agr1[0]
agr1[1]
agr1[2]
nospace[-2]
nospace[-1]
nospace[0]
nospace[1]
nospace[2]
parenthesis[-2]
parenthesis[-1]
parenthesis[0]
parenthesis[1]
parenthesis[2]
quotation[-2]
quotation[-1]
quotation[0]
quotation[1]
quotation[2]
length[-2]
length[-1]
length[0]
length[1]
length[2]
has_upper_case[0]_agr1[-1]_pattern[2]_has_upper_case[-1]_case[0]_number[-1]
has_upper_case[0]_all_digits[-1]_all_upper[-2]_length[1]_nospace[1]
has_upper_case[0]_all_upper[-1]_pattern[-1]_ctag[0]
has_upper_case[0]_all_upper[-1]_pattern[-1]_has_upper_case[1]
has_upper_case[0]_all_upper[-1]_pattern[-1]_pattern[-2]_agr1[1]_pattern[0]
has_upper_case[0]_all_upper[-1]_pattern[-1]_pattern[-2]_class[0]
has_upper_case[0]_all_upper[-1]_starts_with_digit[-2]_starts_with_lower_case[1]_case[0]
has_upper_case[0]_ctag[0]_has_upper_case[1]
has_upper_case[0]_ctag[0]_parenthesis[0]_class[2]_agr1[2]
has_upper_case[0]_ctag[0]_suffix-1[0]
has_upper_case[0]_dict_person_first_nam[-1]_all_upper[-2]_all_alphanumeric[2]_starts_with_lower_case[2]_all_alphanumeric[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_digit[-2]_has_lower_case[0]_nospace[-1]_nospace[-2]_ctag[-1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-1]_all_alphanumeric[2]_class[0]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[2]_all_letters[-1]_ctag[0]_all_alphanumeric[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-2]_length[1]
has_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[-2]_starts_with_lower_case[1]_orth[-1]
has_upper_case[0]_dict_person_first_nam[-1]_pattern[-1]_class[0]
has_upper_case[0]_dict_person_first_nam[-1]_pattern[1]_parenthesis[0]
has_upper_case[0]_starts_with_lower_case[1]_case[0]_orth[2]
has_upper_case[0]_starts_with_lower_case[1]_case[0]_pattern[1]_agr1[1]_gender[0]
has_upper_case[-1]_has_upper_case[0]_nospace[-2]_pattern[0]
has_upper_case[-1]_starts_with_lower_case[1]_all_letters[1]_orth[0]_starts_with_lower_case[-2]
has_upper_case[-1]_starts_with_lower_case[1]_orth[0]_nospace[-1]
has_upper_case[-1]_starts_with_lower_case[1]_parenthesis[-2]_class[-2]_orth[-1]
has_upper_case[-2]_has_upper_case[0]_orth[-1]_nospace[-2]
has_upper_case[-2]_starts_with_upper_case[0]_orth[-1]
starts_with_lower_case[-1]_has_upper_case[0]_case[-1]_case[2]
starts_with_lower_case[-1]_has_upper_case[0]_pattern[-1]_ctag[-1]_pattern[0]
starts_with_lower_case[1]_starts_with_lower_case[-1]_all_letters[-1]_parenthesis[-2]_pattern[1]_length[0]
starts_with_lower_case[-1]_starts_with_upper_case[0]_class[-1]_agr1[0]_gender[-1]
starts_with_lower_case[1]_starts_with_upper_case[-1]_class[-2]_no_letters[0]_length[0]
starts_with_lower_case[1]_starts_with_upper_case[-1]_parenthesis[-2]_agr1[-2]_ctag[-2]
starts_with_lower_case[1]_starts_with_upper_case[-1]_parenthesis[-2]_case[-1]_ctag[0]
starts_with_lower_case[1]_starts_with_upper_case[-2]_agr1[-2]_ctag[-2]_struct[-2]
starts_with_lower_case[1]_starts_with_upper_case[-2]_agr1[-2]_quotation[-1]
starts_with_lower_case[1]_starts_with_upper_case[-2]_pattern[0]_length[-1]
starts_with_lower_case[1]_starts_with_upper_case[-2]_starts_with_upper_case[0]_length[-1]_ctag[-1]
starts_with_upper_case[0]_agr1[-1]_gender[0]_number[0]
starts_with_upper_case[0]_agr1[-1]_orth[-1]_class[-2]
starts_with_upper_case[0]_class[0]_gender[0]_prefix-1[0]_all_alphanumeric[1]
starts_with_upper_case[0]_class[0]_starts_with_lower_case[1]_struct[2]_agr1[1]
starts_with_upper_case[0]_ctag[0]_parenthesis[0]_class[1]
starts_with_upper_case[0]_dict_person_first_nam[-1]_class[0]_parenthesis[2]_ctag[0]
starts_with_upper_case[0]_dict_person_first_nam[-1]_has_lower_case[2]_has_digit[-2]_gender[1]
starts_with_upper_case[0]_starts_with_lower_case[1]_case[0]_suffix-2[1]
starts_with_upper_case[0]_starts_with_lower_case[1]_pattern[1]_length[2]_nospace[1]_case[0]_ctag[2]
starts_with_upper_case[-1]_starts_with_lower_case[1]_all_digits[-2]_has_upper_case[1]_orth[0]
starts_with_upper_case[-1]_starts_with_lower_case[1]_starts_with_upper_case[0]_nospace[2]_gender[-1]
starts_with_upper_case[-1]_starts_with_upper_case[0]_all_upper[-2]_agr1[1]_has_lower_case[2]
starts_with_upper_case[-1]_starts_with_upper_case[0]_all_upper[-2]_nospace[0]
starts_with_upper_case[-1]_starts_with_upper_case[0]_pattern[2]_suffix-1[-1]

CRF++: Yet Another CRF Tool Kit
Copyright (C) 2005-2012 Taku Kudo, All rights reserved.

reading training data: 100.. 200.. 300.. 400.. 500.. 600.. 700.. 800.. 900.. 1000.. 1100.. 1200.. 1300.. 1400.. 1500.. 1600.. 1700.. 1800.. 1900.. 2000.. 2100.. 2200.. 2300.. 2400.. 2500.. 2600.. 2700.. 2800.. 2900.. 3000.. 3100.. 3200.. 3300.. 3400.. 3500.. 3600.. 3700.. 3800.. 3900.. 4000.. 4100.. 4200.. 4300.. 4400.. 4500.. 4600.. 4700.. 4800.. 4900.. 5000.. 5100.. 5200.. 5300.. 5400.. 5500.. 5600.. 5700.. 5800.. 5900.. 6000.. 6100.. 6200.. 6300.. 6400.. 6500.. 6600.. 6700.. 6800.. 6900.. 7000.. 7100.. 7200.. 7300.. 7400.. 7500.. 7600.. 7700.. 7800.. 7900.. 8000.. 8100.. 8200.. 8300.. 8400.. 8500.. 8600.. 8700.. 8800.. 8900.. 9000.. 9100.. 9200.. 9300.. 9400.. 9500.. 
Done!37.31 s

Number of sentences: 9585
Number of features:  929613
Number of thread(s): 7
Freq:                5
eta:                 0.00010
C:                   1.00000
shrinking size:      20
iter=0 terr=0.94600 serr=0.99770 act=929613 obj=170956.15685 diff=1.00000
iter=1 terr=0.09361 serr=0.45394 act=929613 obj=209555.18837 diff=0.22578
iter=2 terr=0.09361 serr=0.45394 act=929613 obj=73822.10185 diff=0.64772
iter=3 terr=0.09361 serr=0.45394 act=929613 obj=66461.49855 diff=0.09971
iter=4 terr=0.86727 serr=0.96734 act=929613 obj=203189.68320 diff=2.05725
iter=5 terr=0.09361 serr=0.45394 act=929613 obj=54861.66186 diff=0.73000
iter=6 terr=0.09361 serr=0.45394 act=929613 obj=53848.18305 diff=0.01847
iter=7 terr=0.09361 serr=0.45394 act=929613 obj=51523.44235 diff=0.04317
iter=8 terr=0.09361 serr=0.45394 act=929613 obj=48940.77445 diff=0.05013
iter=9 terr=0.08325 serr=0.43213 act=929613 obj=39855.31165 diff=0.18564
iter=10 terr=0.05858 serr=0.38237 act=929613 obj=31751.28259 diff=0.20334
iter=11 terr=0.04260 serr=0.32113 act=929613 obj=26151.33593 diff=0.17637
iter=12 terr=0.03962 serr=0.28065 act=929613 obj=22644.69349 diff=0.13409
iter=13 terr=0.03855 serr=0.27710 act=929613 obj=21742.55560 diff=0.03984
iter=14 terr=0.03804 serr=0.27126 act=929613 obj=20865.56556 diff=0.04034
iter=15 terr=0.03803 serr=0.26761 act=929613 obj=20068.88035 diff=0.03818
iter=16 terr=0.03718 serr=0.25603 act=929613 obj=19241.41828 diff=0.04123
iter=17 terr=0.03698 serr=0.25404 act=929613 obj=18517.69700 diff=0.03761
iter=18 terr=0.03603 serr=0.24684 act=929613 obj=18031.35113 diff=0.02626
iter=19 terr=0.03569 serr=0.24361 act=929613 obj=17389.31670 diff=0.03561
iter=20 terr=0.03533 serr=0.23891 act=929613 obj=17226.95157 diff=0.00934
iter=21 terr=0.03499 serr=0.23704 act=929613 obj=16884.29090 diff=0.01989
iter=22 terr=0.03450 serr=0.23286 act=929613 obj=16396.53770 diff=0.02889
iter=23 terr=0.03459 serr=0.23777 act=929613 obj=15520.02604 diff=0.05346
iter=24 terr=0.03569 serr=0.26708 act=929613 obj=15382.31519 diff=0.00887
iter=25 terr=0.03270 serr=0.23526 act=929613 obj=14386.69149 diff=0.06473
iter=26 terr=0.03239 serr=0.23036 act=929613 obj=14062.94541 diff=0.02250
iter=27 terr=0.03242 serr=0.23245 act=929613 obj=13549.89160 diff=0.03648
iter=28 terr=0.03159 serr=0.22973 act=929613 obj=13079.07248 diff=0.03475
iter=29 terr=0.03119 serr=0.22723 act=929613 obj=12689.49467 diff=0.02979
iter=30 terr=0.03121 serr=0.22671 act=929613 obj=11888.49881 diff=0.06312
iter=31 terr=0.02959 serr=0.21127 act=929613 obj=10947.30982 diff=0.07917
iter=32 terr=0.04917 serr=0.25676 act=929613 obj=13697.66000 diff=0.25124
iter=33 terr=0.03005 serr=0.20970 act=929613 obj=10661.76679 diff=0.22164
iter=34 terr=0.02866 serr=0.20751 act=929613 obj=10262.19148 diff=0.03748
iter=35 terr=0.02809 serr=0.20543 act=929613 obj=10137.32996 diff=0.01217
iter=36 terr=0.02698 serr=0.19969 act=929613 obj=9865.84524 diff=0.02678
iter=37 terr=0.02652 serr=0.20021 act=929613 obj=9577.59182 diff=0.02922
iter=38 terr=0.02520 serr=0.19531 act=929613 obj=9367.88214 diff=0.02190
iter=39 terr=0.02501 serr=0.19395 act=929613 obj=9258.47181 diff=0.01168
iter=40 terr=0.02477 serr=0.19061 act=929613 obj=9003.77022 diff=0.02751
iter=41 terr=0.02533 serr=0.19228 act=929613 obj=8855.48359 diff=0.01647
iter=42 terr=0.02396 serr=0.18519 act=929613 obj=8445.29354 diff=0.04632
iter=43 terr=0.02384 serr=0.18289 act=929613 obj=8311.53700 diff=0.01584
iter=44 terr=0.02396 serr=0.18018 act=929613 obj=8221.06051 diff=0.01089
iter=45 terr=0.02346 serr=0.17893 act=929613 obj=8106.80924 diff=0.01390
iter=46 terr=0.02530 serr=0.18456 act=929613 obj=8086.42241 diff=0.00251
iter=47 terr=0.02377 serr=0.17590 act=929613 obj=7934.98442 diff=0.01873
iter=48 terr=0.02277 serr=0.17068 act=929613 obj=7624.14991 diff=0.03917
iter=49 terr=0.02241 serr=0.16766 act=929613 obj=7394.50562 diff=0.03012
iter=50 terr=0.02128 serr=0.15973 act=929613 obj=7135.08801 diff=0.03508
iter=51 terr=0.02155 serr=0.15618 act=929613 obj=6945.42522 diff=0.02658
iter=52 terr=0.02008 serr=0.15222 act=929613 obj=6761.33470 diff=0.02651
iter=53 terr=0.01941 serr=0.14877 act=929613 obj=6682.20889 diff=0.01170
iter=54 terr=0.01889 serr=0.14731 act=929613 obj=6494.46021 diff=0.02810
iter=55 terr=0.02927 serr=0.17162 act=929613 obj=8428.24411 diff=0.29776
iter=56 terr=0.01873 serr=0.14502 act=929613 obj=6442.32590 diff=0.23563
iter=57 terr=0.01876 serr=0.14575 act=929613 obj=6374.50982 diff=0.01053
iter=58 terr=0.01799 serr=0.14158 act=929613 obj=6269.58266 diff=0.01646
iter=59 terr=0.01810 serr=0.14158 act=929613 obj=6217.95954 diff=0.00823
iter=60 terr=0.01779 serr=0.13918 act=929613 obj=6175.45462 diff=0.00684
iter=61 terr=0.01745 serr=0.13521 act=929613 obj=6025.97267 diff=0.02421
iter=62 terr=0.01716 serr=0.13333 act=929613 obj=5891.87618 diff=0.02225
iter=63 terr=0.01690 serr=0.13292 act=929613 obj=5790.26873 diff=0.01725
iter=64 terr=0.01620 serr=0.12937 act=929613 obj=5672.16173 diff=0.02040
iter=65 terr=0.01639 serr=0.12937 act=929613 obj=5610.02810 diff=0.01095
iter=66 terr=0.01631 serr=0.13020 act=929613 obj=5580.88032 diff=0.00520
iter=67 terr=0.01655 serr=0.12770 act=929613 obj=5550.83073 diff=0.00538
iter=68 terr=0.01597 serr=0.12603 act=929613 obj=5496.18399 diff=0.00984
iter=69 terr=0.01589 serr=0.12770 act=929613 obj=5437.62168 diff=0.01066
iter=70 terr=0.01553 serr=0.12655 act=929613 obj=5368.73393 diff=0.01267
iter=71 terr=0.01535 serr=0.12530 act=929613 obj=5295.79775 diff=0.01359
iter=72 terr=0.01551 serr=0.12488 act=929613 obj=5258.45099 diff=0.00705
iter=73 terr=0.01526 serr=0.12207 act=929613 obj=5186.78266 diff=0.01363
iter=74 terr=0.01517 serr=0.12248 act=929613 obj=5156.94281 diff=0.00575
iter=75 terr=0.01506 serr=0.12175 act=929613 obj=5123.91107 diff=0.00641
iter=76 terr=0.01469 serr=0.11946 act=929613 obj=5065.92837 diff=0.01132
iter=77 terr=0.01713 serr=0.12467 act=929613 obj=5165.04235 diff=0.01956
iter=78 terr=0.01486 serr=0.11935 act=929613 obj=5004.28457 diff=0.03112
iter=79 terr=0.01450 serr=0.11831 act=929613 obj=4884.90216 diff=0.02386
iter=80 terr=0.01436 serr=0.11727 act=929613 obj=4815.90263 diff=0.01413
iter=81 terr=0.01424 serr=0.11643 act=929613 obj=4781.78416 diff=0.00708
iter=82 terr=0.01393 serr=0.11403 act=929613 obj=4717.49434 diff=0.01344
iter=83 terr=0.01396 serr=0.11299 act=929613 obj=4638.01255 diff=0.01685
iter=84 terr=0.01384 serr=0.11195 act=929613 obj=4582.99351 diff=0.01186
iter=85 terr=0.01369 serr=0.11111 act=929613 obj=4541.10219 diff=0.00914
iter=86 terr=0.01341 serr=0.10923 act=929613 obj=4444.00860 diff=0.02138
iter=87 terr=0.04694 serr=0.16453 act=929613 obj=7612.61614 diff=0.71301
iter=88 terr=0.01355 serr=0.10798 act=929613 obj=4420.85372 diff=0.41927
iter=89 terr=0.01301 serr=0.10496 act=929613 obj=4300.84556 diff=0.02715
iter=90 terr=0.01276 serr=0.10381 act=929613 obj=4244.07495 diff=0.01320
iter=91 terr=0.01211 serr=0.10235 act=929613 obj=4180.04711 diff=0.01509
iter=92 terr=0.01191 serr=0.10078 act=929613 obj=4094.46852 diff=0.02047
iter=93 terr=0.01272 serr=0.10423 act=929613 obj=4113.47993 diff=0.00464
iter=94 terr=0.01209 serr=0.10110 act=929613 obj=4039.37321 diff=0.01802
iter=95 terr=0.01176 serr=0.10037 act=929613 obj=4008.04374 diff=0.00776
iter=96 terr=0.01339 serr=0.10276 act=929613 obj=4111.68859 diff=0.02586
iter=97 terr=0.01200 serr=0.09963 act=929613 obj=3973.51958 diff=0.03360
iter=98 terr=0.01141 serr=0.09755 act=929613 obj=3927.74678 diff=0.01152
iter=99 terr=0.01104 serr=0.09609 act=929613 obj=3878.23222 diff=0.01261
iter=100 terr=0.01086 serr=0.09484 act=929613 obj=3807.28580 diff=0.01829
iter=101 terr=0.01047 serr=0.09275 act=929613 obj=3709.47004 diff=0.02569
iter=102 terr=0.01063 serr=0.09139 act=929613 obj=3716.72051 diff=0.00195
iter=103 terr=0.01058 serr=0.09223 act=929613 obj=3656.66500 diff=0.01616
iter=104 terr=0.01046 serr=0.09066 act=929613 obj=3610.04237 diff=0.01275
iter=105 terr=0.01002 serr=0.09045 act=929613 obj=3583.23298 diff=0.00743
iter=106 terr=0.00999 serr=0.09035 act=929613 obj=3566.64080 diff=0.00463
iter=107 terr=0.00970 serr=0.08878 act=929613 obj=3514.41306 diff=0.01464
iter=108 terr=0.00945 serr=0.08670 act=929613 obj=3426.75238 diff=0.02494
iter=109 terr=0.00927 serr=0.08545 act=929613 obj=3340.94166 diff=0.02504
iter=110 terr=0.01132 serr=0.09619 act=929613 obj=3678.94834 diff=0.10117
iter=111 terr=0.00914 serr=0.08482 act=929613 obj=3320.77273 diff=0.09736
iter=112 terr=0.00927 serr=0.08378 act=929613 obj=3271.74584 diff=0.01476
iter=113 terr=0.00920 serr=0.08221 act=929613 obj=3239.58234 diff=0.00983
iter=114 terr=0.00949 serr=0.08106 act=929613 obj=3203.13282 diff=0.01125
iter=115 terr=0.00902 serr=0.07919 act=929613 obj=3138.59363 diff=0.02015
iter=116 terr=0.00882 serr=0.07814 act=929613 obj=3117.24317 diff=0.00680
iter=117 terr=0.00878 serr=0.07773 act=929613 obj=3091.71627 diff=0.00819
iter=118 terr=0.00860 serr=0.07689 act=929613 obj=3043.09411 diff=0.01573
iter=119 terr=0.00898 serr=0.08169 act=929613 obj=3127.77965 diff=0.02783
iter=120 terr=0.00868 serr=0.07741 act=929613 obj=3012.93512 diff=0.03672
iter=121 terr=0.00816 serr=0.07522 act=929613 obj=2958.54622 diff=0.01805
iter=122 terr=0.00790 serr=0.07272 act=929613 obj=2890.63281 diff=0.02295
iter=123 terr=0.00775 serr=0.07167 act=929613 obj=2837.71655 diff=0.01831
iter=124 terr=0.00744 serr=0.06969 act=929613 obj=2772.91632 diff=0.02284
iter=125 terr=0.00760 serr=0.06865 act=929613 obj=2755.99633 diff=0.00610
iter=126 terr=0.00751 serr=0.06896 act=929613 obj=2717.43602 diff=0.01399
iter=127 terr=0.00713 serr=0.06708 act=929613 obj=2673.33919 diff=0.01623
iter=128 terr=0.00666 serr=0.06458 act=929613 obj=2622.87959 diff=0.01888
iter=129 terr=0.00669 serr=0.06635 act=929613 obj=2620.93360 diff=0.00074
iter=130 terr=0.00663 serr=0.06510 act=929613 obj=2601.38793 diff=0.00746
iter=131 terr=0.00632 serr=0.06312 act=929613 obj=2572.80156 diff=0.01099
iter=132 terr=0.00596 serr=0.06051 act=929613 obj=2515.78377 diff=0.02216
iter=133 terr=0.00557 serr=0.05696 act=929613 obj=2450.35430 diff=0.02601
iter=134 terr=0.00544 serr=0.05540 act=929613 obj=2440.90317 diff=0.00386
iter=135 terr=0.00530 serr=0.05498 act=929613 obj=2394.83891 diff=0.01887
iter=136 terr=0.00531 serr=0.05498 act=929613 obj=2378.39441 diff=0.00687
iter=137 terr=0.00532 serr=0.05498 act=929613 obj=2330.51561 diff=0.02013
iter=138 terr=0.00515 serr=0.05300 act=929613 obj=2284.97302 diff=0.01954
iter=139 terr=0.00554 serr=0.05258 act=929613 obj=2265.33028 diff=0.00860
iter=140 terr=0.00490 serr=0.04924 act=929613 obj=2192.74804 diff=0.03204
iter=141 terr=0.00440 serr=0.04664 act=929613 obj=2162.25129 diff=0.01391
iter=142 terr=0.00411 serr=0.04465 act=929613 obj=2119.59260 diff=0.01973
iter=143 terr=0.00399 serr=0.04382 act=929613 obj=2076.12462 diff=0.02051
iter=144 terr=0.00616 serr=0.05143 act=929613 obj=2219.39322 diff=0.06901
iter=145 terr=0.00406 serr=0.04434 act=929613 obj=2052.10564 diff=0.07538
iter=146 terr=0.00394 serr=0.04361 act=929613 obj=2026.20205 diff=0.01262
iter=147 terr=0.00370 serr=0.04142 act=929613 obj=1986.63149 diff=0.01953
iter=148 terr=0.00367 serr=0.04058 act=929613 obj=1961.20734 diff=0.01280
iter=149 terr=0.00356 serr=0.04006 act=929613 obj=1930.55726 diff=0.01563
iter=150 terr=0.00348 serr=0.03996 act=929613 obj=1889.58268 diff=0.02122
iter=151 terr=0.00333 serr=0.03798 act=929613 obj=1848.68911 diff=0.02164
iter=152 terr=0.00415 serr=0.04048 act=929613 obj=1872.96447 diff=0.01313
iter=153 terr=0.00337 serr=0.03777 act=929613 obj=1831.36441 diff=0.02221
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iter=180 terr=0.00147 serr=0.01857 act=929613 obj=1332.29105 diff=0.00865
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iter=189 terr=0.00101 serr=0.01294 act=929613 obj=1198.53287 diff=0.01126
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iter=201 terr=0.00076 serr=0.00991 act=929613 obj=1132.16488 diff=0.00430
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iter=204 terr=0.00073 serr=0.00970 act=929613 obj=1125.73711 diff=0.04310
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iter=209 terr=0.00053 serr=0.00730 act=929613 obj=1079.36506 diff=0.00529
iter=210 terr=0.00051 serr=0.00720 act=929613 obj=1075.36556 diff=0.00371
iter=211 terr=0.00050 serr=0.00699 act=929613 obj=1071.72463 diff=0.00339
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iter=223 terr=0.00039 serr=0.00511 act=929613 obj=1015.26189 diff=0.00188
iter=224 terr=0.00040 serr=0.00532 act=929613 obj=1013.89891 diff=0.00134
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iter=228 terr=0.00039 serr=0.00532 act=929613 obj=1004.22031 diff=0.00020
iter=229 terr=0.00040 serr=0.00543 act=929613 obj=1003.02307 diff=0.00119
iter=230 terr=0.00039 serr=0.00522 act=929613 obj=1000.81136 diff=0.00221
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iter=233 terr=0.00039 serr=0.00480 act=929613 obj=990.79259 diff=0.00473
iter=234 terr=0.00037 serr=0.00449 act=929613 obj=1019.16682 diff=0.02864
iter=235 terr=0.00036 serr=0.00459 act=929613 obj=987.16202 diff=0.03140
iter=236 terr=0.00028 serr=0.00386 act=929613 obj=979.33225 diff=0.00793
iter=237 terr=0.00030 serr=0.00417 act=929613 obj=974.21582 diff=0.00522
iter=238 terr=0.00031 serr=0.00396 act=929613 obj=973.68019 diff=0.00055
iter=239 terr=0.00030 serr=0.00417 act=929613 obj=971.24507 diff=0.00250
iter=240 terr=0.00029 serr=0.00396 act=929613 obj=968.70352 diff=0.00262
iter=241 terr=0.00028 serr=0.00376 act=929613 obj=966.70661 diff=0.00206
iter=242 terr=0.00027 serr=0.00365 act=929613 obj=963.99305 diff=0.00281
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iter=245 terr=0.00023 serr=0.00303 act=929613 obj=956.34538 diff=0.00171
iter=246 terr=0.00023 serr=0.00303 act=929613 obj=955.47404 diff=0.00091
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iter=252 terr=0.00024 serr=0.00313 act=929613 obj=946.96313 diff=0.00178
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iter=254 terr=0.00022 serr=0.00292 act=929613 obj=942.08545 diff=0.00290
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iter=363 terr=0.00005 serr=0.00052 act=929613 obj=795.18358 diff=0.00029
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iter=367 terr=0.00005 serr=0.00052 act=929613 obj=793.62863 diff=0.00027
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iter=369 terr=0.00007 serr=0.00063 act=929613 obj=793.09219 diff=0.00013
iter=370 terr=0.00007 serr=0.00063 act=929613 obj=792.76442 diff=0.00041
iter=371 terr=0.00007 serr=0.00063 act=929613 obj=792.45960 diff=0.00038
iter=372 terr=0.00005 serr=0.00052 act=929613 obj=792.17819 diff=0.00036
iter=373 terr=0.00005 serr=0.00052 act=929613 obj=791.95770 diff=0.00028
iter=374 terr=0.00005 serr=0.00052 act=929613 obj=791.36751 diff=0.00075
iter=375 terr=0.00005 serr=0.00052 act=929613 obj=790.46315 diff=0.00114
iter=376 terr=0.00005 serr=0.00052 act=929613 obj=792.30624 diff=0.00233
iter=377 terr=0.00005 serr=0.00052 act=929613 obj=790.01828 diff=0.00289
iter=378 terr=0.00005 serr=0.00052 act=929613 obj=789.30912 diff=0.00090
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iter=380 terr=0.00005 serr=0.00052 act=929613 obj=788.36545 diff=0.00074
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iter=386 terr=0.00005 serr=0.00052 act=929613 obj=784.37709 diff=0.00145
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iter=407 terr=0.00005 serr=0.00052 act=929613 obj=778.22064 diff=0.00010
iter=408 terr=0.00005 serr=0.00052 act=929613 obj=778.10857 diff=0.00014
iter=409 terr=0.00005 serr=0.00052 act=929613 obj=777.86309 diff=0.00032
iter=410 terr=0.00005 serr=0.00052 act=929613 obj=777.56359 diff=0.00039
iter=411 terr=0.00005 serr=0.00052 act=929613 obj=776.61442 diff=0.00122
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iter=415 terr=0.00006 serr=0.00073 act=929613 obj=776.85094 diff=0.00179
iter=416 terr=0.00006 serr=0.00063 act=929613 obj=775.35906 diff=0.00192
iter=417 terr=0.00006 serr=0.00063 act=929613 obj=775.19402 diff=0.00021
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iter=431 terr=0.00005 serr=0.00052 act=929613 obj=772.19190 diff=0.00016
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iter=433 terr=0.00005 serr=0.00052 act=929613 obj=771.79358 diff=0.00021
iter=434 terr=0.00005 serr=0.00052 act=929613 obj=771.60943 diff=0.00024
iter=435 terr=0.00005 serr=0.00052 act=929613 obj=771.51241 diff=0.00013
iter=436 terr=0.00005 serr=0.00052 act=929613 obj=771.27462 diff=0.00031
iter=437 terr=0.00005 serr=0.00052 act=929613 obj=770.99738 diff=0.00036
iter=438 terr=0.00005 serr=0.00052 act=929613 obj=770.74904 diff=0.00032
iter=439 terr=0.00005 serr=0.00052 act=929613 obj=770.62487 diff=0.00016
iter=440 terr=0.00005 serr=0.00052 act=929613 obj=770.58703 diff=0.00005
iter=441 terr=0.00005 serr=0.00052 act=929613 obj=770.52096 diff=0.00009
iter=442 terr=0.00005 serr=0.00052 act=929613 obj=770.33646 diff=0.00024
iter=443 terr=0.00005 serr=0.00052 act=929613 obj=770.16040 diff=0.00023
iter=444 terr=0.00005 serr=0.00052 act=929613 obj=769.99497 diff=0.00021
iter=445 terr=0.00005 serr=0.00052 act=929613 obj=769.90457 diff=0.00012
iter=446 terr=0.00005 serr=0.00052 act=929613 obj=769.84277 diff=0.00008
iter=447 terr=0.00005 serr=0.00052 act=929613 obj=769.78309 diff=0.00008
iter=448 terr=0.00005 serr=0.00052 act=929613 obj=769.56513 diff=0.00028
iter=449 terr=0.00005 serr=0.00052 act=929613 obj=769.63104 diff=0.00009
iter=450 terr=0.00005 serr=0.00052 act=929613 obj=769.48567 diff=0.00019
iter=451 terr=0.00005 serr=0.00052 act=929613 obj=769.41258 diff=0.00009
iter=452 terr=0.00005 serr=0.00052 act=929613 obj=769.27328 diff=0.00018
iter=453 terr=0.00005 serr=0.00052 act=929613 obj=770.62677 diff=0.00176
iter=454 terr=0.00005 serr=0.00052 act=929613 obj=769.24435 diff=0.00179
iter=455 terr=0.00005 serr=0.00052 act=929613 obj=769.17015 diff=0.00010
iter=456 terr=0.00005 serr=0.00052 act=929613 obj=769.03956 diff=0.00017
iter=457 terr=0.00005 serr=0.00052 act=929613 obj=768.86640 diff=0.00023
iter=458 terr=0.00005 serr=0.00052 act=929613 obj=768.73872 diff=0.00017
iter=459 terr=0.00005 serr=0.00052 act=929613 obj=768.58647 diff=0.00020
iter=460 terr=0.00005 serr=0.00052 act=929613 obj=768.47787 diff=0.00014
iter=461 terr=0.00005 serr=0.00052 act=929613 obj=768.35239 diff=0.00016
iter=462 terr=0.00005 serr=0.00052 act=929613 obj=768.70806 diff=0.00046
iter=463 terr=0.00005 serr=0.00052 act=929613 obj=768.30679 diff=0.00052
iter=464 terr=0.00005 serr=0.00052 act=929613 obj=768.25307 diff=0.00007
iter=465 terr=0.00005 serr=0.00052 act=929613 obj=768.05163 diff=0.00026
iter=466 terr=0.00005 serr=0.00052 act=929613 obj=767.94819 diff=0.00013
iter=467 terr=0.00005 serr=0.00052 act=929613 obj=767.85161 diff=0.00013
iter=468 terr=0.00005 serr=0.00052 act=929613 obj=767.70843 diff=0.00019
iter=469 terr=0.00005 serr=0.00052 act=929613 obj=767.63112 diff=0.00010
iter=470 terr=0.00005 serr=0.00052 act=929613 obj=768.13403 diff=0.00066
iter=471 terr=0.00005 serr=0.00052 act=929613 obj=767.58081 diff=0.00072
iter=472 terr=0.00005 serr=0.00052 act=929613 obj=767.46787 diff=0.00015
iter=473 terr=0.00005 serr=0.00052 act=929613 obj=767.35888 diff=0.00014
iter=474 terr=0.00005 serr=0.00052 act=929613 obj=767.28880 diff=0.00009
iter=475 terr=0.00005 serr=0.00052 act=929613 obj=767.19510 diff=0.00012
iter=476 terr=0.00005 serr=0.00052 act=929613 obj=767.16248 diff=0.00004
iter=477 terr=0.00005 serr=0.00052 act=929613 obj=766.87537 diff=0.00037
iter=478 terr=0.00005 serr=0.00052 act=929613 obj=766.77890 diff=0.00013
iter=479 terr=0.00005 serr=0.00052 act=929613 obj=766.69726 diff=0.00011
iter=480 terr=0.00005 serr=0.00052 act=929613 obj=766.63259 diff=0.00008
iter=481 terr=0.00005 serr=0.00052 act=929613 obj=766.55863 diff=0.00010
iter=482 terr=0.00005 serr=0.00052 act=929613 obj=766.30125 diff=0.00034
iter=483 terr=0.00005 serr=0.00052 act=929613 obj=766.21348 diff=0.00011
iter=484 terr=0.00005 serr=0.00052 act=929613 obj=766.11656 diff=0.00013
iter=485 terr=0.00005 serr=0.00052 act=929613 obj=766.02994 diff=0.00011
iter=486 terr=0.00005 serr=0.00052 act=929613 obj=765.94401 diff=0.00011
iter=487 terr=0.00005 serr=0.00052 act=929613 obj=765.84239 diff=0.00013
iter=488 terr=0.00005 serr=0.00052 act=929613 obj=765.80519 diff=0.00005
iter=489 terr=0.00005 serr=0.00052 act=929613 obj=765.75624 diff=0.00006
iter=490 terr=0.00006 serr=0.00063 act=929613 obj=765.72855 diff=0.00004

Done!862.84 s

-> Setting up chunker: chunker_cp
--> Chunk propagation
2017-06-14 20:35:33,027 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100500.xml
(ChunkerEvaluator) Sentence #1 from 00100500 from sent1

Text  : Gmina Bov
Tokens: 1____ 2__

Chunks:
  TruePositive nam [2,2] = Bov (confidence=0.77)

(ChunkerEvaluator) Sentence #2 from 00100500 from sent2

Text  : Gmina Bov ( duń . Bov Kommune ) - istniejąca w_ latach 1970 -_ 2006 gmina w_ Danii w_ okręgu południowej Jutlandii (_ Sønderjyllands Amt )_ ._
Tokens: 1____ 2__ 3 4__ 5 6__ 7______ 8 9 10________ 11 12____ 13__ 14 15__ 16___ 17 18___ 19 20____ 21_________ 22_______ 23 24____________ 25_ 26 27

Chunks:
  TruePositive nam [2,2] = Bov (confidence=0.95)
  TruePositive nam [6,7] = Bov Kommune (confidence=1.00)
  TruePositive nam [18,18] = Danii (confidence=1.00)
  TruePositive nam [24,25] = Sønderjyllands Amt (confidence=0.95)
  FalsePositive nam [22,22] = Jutlandii (confidence=0.54) (incorrect boundry)
  FalseNegative nam [21,22] = południowej Jutlandii

(ChunkerEvaluator) Sentence #3 from 00100500 from sent3

Text  : Siedzibą władz gminy było miasto Bov , Padborg .
Tokens: 1_______ 2____ 3____ 4___ 5_____ 6__ 7 8______ 9

Chunks:
  TruePositive nam [6,6] = Bov (confidence=1.00)
  TruePositive nam [8,8] = Padborg (confidence=1.00)

(ChunkerEvaluator) Sentence #4 from 00100500 from sent4

Text  : Gmina Bov została utworzona 1 kwietnia 1970 na mocy reformy podziału administracyjnego Danii ._
Tokens: 1____ 2__ 3______ 4________ 5 6_______ 7___ 8_ 9___ 10_____ 11______ 12_______________ 13___ 14

Chunks:
  TruePositive nam [2,2] = Bov (confidence=0.97)
  TruePositive nam [13,13] = Danii (confidence=1.00)

(ChunkerEvaluator) Sentence #5 from 00100500 from sent5

Text  : Po kolejnej reformie administracyjnej w roku 2007 weszła w skład nowej gminy Aabenraa ._
Tokens: 1_ 2_______ 3_______ 4_______________ 5 6___ 7___ 8_____ 9 10___ 11___ 12___ 13______ 14

Chunks:
  TruePositive nam [13,13] = Aabenraa (confidence=1.00)

(ChunkerEvaluator) Sentence #6 from 00100500 from sent6

Text  : Dane liczbowe
Tokens: 1___ 2_______

Chunks:

(ChunkerEvaluator) Sentence #7 from 00100500 from sent7

Text  : Liczba ludności : ( ♀ 4 958 + ♂ 5_ 034 )_ =_ 9_ 992
Tokens: 1_____ 2_______ 3 4 5 6 7__ 8 9 10 11_ 12 13 14 15_

Chunks:

(ChunkerEvaluator) Sentence #8 from 00100500 from sent8

Text  : wiek 0 - 6 : 7 , 2 %
Tokens: 1___ 2 3 4 5 6 7 8 9

Chunks:

(ChunkerEvaluator) Sentence #9 from 00100500 from sent9

Text  : wiek 7 - 16 : 13 , 1 %
Tokens: 1___ 2 3 4_ 5 6_ 7 8 9

Chunks:

(ChunkerEvaluator) Sentence #10 from 00100500 from sent10

Text  : wiek 17 - 66 : 65 , 3 %
Tokens: 1___ 2_ 3 4_ 5 6_ 7 8 9

Chunks:

(ChunkerEvaluator) Sentence #11 from 00100500 from sent11

Text  : wiek 67 + : 14 , 4 %
Tokens: 1___ 2_ 3 4 5_ 6 7 8

Chunks:

(ChunkerEvaluator) Sentence #12 from 00100500 from sent12

Text  : zagęszczenie ludności : 68 , 0 osób / km²
Tokens: 1___________ 2_______ 3 4_ 5 6 7___ 8 9__

Chunks:

(ChunkerEvaluator) Sentence #13 from 00100500 from sent13

Text  : bezrobocie : 4 , 8 % osób w wieku 17 -_ 66 lat
Tokens: 1_________ 2 3 4 5 6 7___ 8 9____ 10 11 12 13_

Chunks:

(ChunkerEvaluator) Sentence #14 from 00100500 from sent14

Text  : cudzoziemcy z UE , Skandynawii i USA : 808 na 10 ._ 000 osób
Tokens: 1__________ 2 3_ 4 5__________ 6 7__ 8 9__ 10 11 12 13_ 14__

Chunks:
  TruePositive nam [3,3] = UE (confidence=1.00)
  TruePositive nam [5,5] = Skandynawii (confidence=0.98)
  TruePositive nam [7,7] = USA (confidence=1.00)

(ChunkerEvaluator) Sentence #15 from 00100500 from sent15

Text  : cudzoziemcy z krajów Trzeciego Świata : 229 na 10 ._ 000 osób
Tokens: 1__________ 2 3_____ 4________ 5_____ 6 7__ 8_ 9_ 10 11_ 12__

Chunks:
  TruePositive nam [4,5] = Trzeciego Świata (confidence=0.98)

(ChunkerEvaluator) Sentence #16 from 00100500 from sent16

Text  : liczba szkół podstawowych : 5 ( liczba klas : 64 )_
Tokens: 1_____ 2____ 3___________ 4 5 6 7_____ 8___ 9 10 11

Chunks:

2017-06-14 20:35:33,075 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 2 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100505.xml
(ChunkerEvaluator) Sentence #17 from 00100505 from sent1

Text  : Wnukowo
Tokens: 1______

Chunks:
  FalseNegative nam [1,1] = Wnukowo

(ChunkerEvaluator) Sentence #18 from 00100505 from sent2

Text  : Wnukowo lub okręg miejski Wnukowo ( ros . Муниципальный округ Внуково )_ –_ dzielnica Moskwy wchodząca w_ skład Zachodniego Okręgu Administracyjnego ._
Tokens: 1______ 2__ 3____ 4______ 5______ 6 7__ 8 9____________ 10___ 11_____ 12 13 14_______ 15____ 16_______ 17 18___ 19_________ 20____ 21_______________ 22

Chunks:
  TruePositive nam [1,1] = Wnukowo (confidence=0.68)
  TruePositive nam [9,11] = Муниципальный округ Внуково (confidence=1.00)
  TruePositive nam [15,15] = Moskwy (confidence=0.99)
  TruePositive nam [19,21] = Zachodniego Okręgu Administracyjnego (confidence=1.00)
  FalsePositive nam [5,5] = Wnukowo (confidence=0.94) (incorrect boundry)
  FalseNegative nam [3,5] = okręg miejski Wnukowo

(ChunkerEvaluator) Sentence #19 from 00100505 from sent3

Text  : Dawna podmoskiewska osada leżąca na południowy zachód od centrum ,_ włączona w_ skład Moskwy w_ 1950 roku ._
Tokens: 1____ 2____________ 3____ 4_____ 5_ 6_________ 7_____ 8_ 9______ 10 11______ 12 13___ 14____ 15 16__ 17__ 18

Chunks:
  TruePositive nam [14,14] = Moskwy (confidence=1.00)

(ChunkerEvaluator) Sentence #20 from 00100505 from sent4

Text  : Powodem formalnego przyłączenia do Moskwy ( jako administracyjnej ekslawy położonej daleko poza obowdnicą MKAD wyznaczającą granice miasta )_ była lokalizacja w_ tym rejonie portu lotniczego Wnukowo ._
Tokens: 1______ 2_________ 3___________ 4_ 5_____ 6 7___ 8_______________ 9______ 10_______ 11____ 12__ 13_______ 14__ 15__________ 16_____ 17____ 18 19__ 20_________ 21 22_ 23_____ 24___ 25________ 26_____ 27

Chunks:
  TruePositive nam [5,5] = Moskwy (confidence=0.95)
  TruePositive nam [14,14] = MKAD (confidence=0.98)
  TruePositive nam [26,26] = Wnukowo (confidence=0.90)

2017-06-14 20:35:33,094 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 3 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100521.xml
(ChunkerEvaluator) Sentence #21 from 00100521 from sent1

Text  : Gwiezdna Kuźnia
Tokens: 1_______ 2_____

Chunks:
  TruePositive nam [1,2] = Gwiezdna Kuźnia (confidence=0.99)

(ChunkerEvaluator) Sentence #22 from 00100521 from sent2

Text  : Gwiezdna Kuźnia to w fikcyjnym świecie " Gwiezdnych wojen "_ starożytna uzbrojona stacja kosmiczna pełniąca jednocześnie funkcję fabryki ._
Tokens: 1_______ 2_____ 3_ 4 5________ 6______ 7 8_________ 9____ 10 11________ 12_______ 13____ 14_______ 15______ 16__________ 17_____ 18_____ 19

Chunks:
  TruePositive nam [1,2] = Gwiezdna Kuźnia (confidence=0.94)
  TruePositive nam [8,9] = Gwiezdnych wojen (confidence=0.98)

(ChunkerEvaluator) Sentence #23 from 00100521 from sent3

Text  : Gwiezdna Kuźnia została zbudowana przez rasę Rakatan około 30000 BBY i_ stanowiła najwyższe osiągnięcie technologiczne ich Bezkresnego Imperium ._
Tokens: 1_______ 2_____ 3______ 4________ 5____ 6___ 7______ 8____ 9____ 10_ 11 12_______ 13_______ 14_________ 15____________ 16_ 17_________ 18______ 19

Chunks:
  TruePositive nam [1,2] = Gwiezdna Kuźnia (confidence=0.91)
  TruePositive nam [7,7] = Rakatan (confidence=0.97)
  TruePositive nam [17,18] = Bezkresnego Imperium (confidence=0.97)
  FalsePositive nam [10,10] = BBY (confidence=0.93) (incorrect boundry)

(ChunkerEvaluator) Sentence #24 from 00100521 from sent4

Text  : Orbitowała wokół ojczystej planety Rakatan - Lehonu i czerpała energię z_ pobliskiej gwiazdy ._
Tokens: 1_________ 2____ 3________ 4______ 5______ 6 7_____ 8 9_______ 10_____ 11 12________ 13_____ 14

Chunks:
  TruePositive nam [5,5] = Rakatan (confidence=1.00)
  TruePositive nam [7,7] = Lehonu (confidence=0.58)

(ChunkerEvaluator) Sentence #25 from 00100521 from sent5

Text  : Gwiezdna Kuźnia posiadała wprost niewyobrażalne możliwości produkcyjne .
Tokens: 1_______ 2_____ 3________ 4_____ 5_____________ 6_________ 7__________ 8

Chunks:
  TruePositive nam [1,2] = Gwiezdna Kuźnia (confidence=0.92)

(ChunkerEvaluator) Sentence #26 from 00100521 from sent6

Text  : Pozwalała na stworzenie ogromnej ilości jednostek w bardzo krótkim czasie i_ przy ograniczonych zasobach ._
Tokens: 1________ 2_ 3_________ 4_______ 5_____ 6________ 7 8_____ 9______ 10____ 11 12__ 13___________ 14______ 15

Chunks:

(ChunkerEvaluator) Sentence #27 from 00100521 from sent7

Text  : Ze względu na ścisłe połączenie rakatańskiej techniki z Mocą wywierała ona jednak bardzo negatywny wpływ na swoich użytkowników ,_ pogrążając ich w_ Ciemnej Stronie Mocy ._
Tokens: 1_ 2______ 3_ 4_____ 5_________ 6___________ 7_______ 8 9___ 10_______ 11_ 12____ 13____ 14_______ 15___ 16 17____ 18__________ 19 20________ 21_ 22 23_____ 24_____ 25__ 26

Chunks:
  FalsePositive nam [9,9] = Mocą (confidence=0.96) (incorrect boundry)
  FalsePositive nam [23,25] = Ciemnej Stronie Mocy (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #28 from 00100521 from sent8

Text  : Podczas rozpadu Bezkresnego Imperium ( spowodowanego przez niewytłumaczalną zarazę jak i_ samą Kuźnie )_ i_ opuszczaniu przez Rakatan podbitych wcześniej światów ,_ pamięć o_ Gwiezdnej Kuźni została wymazana z_ pamięci mieszkańców Wszechświata ._
Tokens: 1______ 2______ 3__________ 4_______ 5 6____________ 7____ 8_______________ 9_____ 10_ 11 12__ 13____ 14 15 16_________ 17___ 18_____ 19_______ 20_______ 21_____ 22 23____ 24 25_______ 26___ 27_____ 28______ 29 30_____ 31_________ 32__________ 33

Chunks:
  TruePositive nam [3,4] = Bezkresnego Imperium (confidence=1.00)
  TruePositive nam [13,13] = Kuźnie (confidence=0.93)
  TruePositive nam [18,18] = Rakatan (confidence=0.99)
  TruePositive nam [25,26] = Gwiezdnej Kuźni (confidence=0.94)
  TruePositive nam [32,32] = Wszechświata (confidence=0.95)

(ChunkerEvaluator) Sentence #29 from 00100521 from sent9

Text  : Sama rasa Ratakan poprzez chorobę i wojnę domową zaprzepaściła tysiące lat wiedzy ,_ chowając się w_ podziemiach Lehon ._
Tokens: 1___ 2___ 3______ 4______ 5______ 6 7____ 8_____ 9____________ 10_____ 11_ 12____ 13 14______ 15_ 16 17_________ 18___ 19

Chunks:
  TruePositive nam [3,3] = Ratakan (confidence=0.97)
  TruePositive nam [18,18] = Lehon (confidence=0.96)

(ChunkerEvaluator) Sentence #30 from 00100521 from sent10

Text  : Gwiezdna Kuźnia została ponownie odkryta przez Revana i Malaka w_ okresie Wojen mandaloriańskich ._
Tokens: 1_______ 2_____ 3______ 4_______ 5______ 6____ 7_____ 8 9_____ 10 11_____ 12___ 13______________ 14

Chunks:
  TruePositive nam [1,2] = Gwiezdna Kuźnia (confidence=0.88)
  TruePositive nam [7,7] = Revana (confidence=1.00)
  TruePositive nam [9,9] = Malaka (confidence=0.81)
  FalseNegative nam [12,13] = Wojen mandaloriańskich

(ChunkerEvaluator) Sentence #31 from 00100521 from sent11

Text  : Revan szybko poznał jej właściwości i wykorzystał ją do stworzenia ogromnej floty okrętów ,_ które posłużyły mu do zaatakowania Republiki Galaktycznej i_ rozpętania Wojny domowej Jedi
Tokens: 1____ 2_____ 3_____ 4__ 5__________ 6 7__________ 8_ 9_ 10________ 11______ 12___ 13_____ 14 15___ 16_______ 17 18 19__________ 20_______ 21__________ 22 23________ 24___ 25_____ 26__

Chunks:
  TruePositive nam [1,1] = Revan (confidence=0.90)
  TruePositive nam [20,21] = Republiki Galaktycznej (confidence=0.99)
  TruePositive nam [24,26] = Wojny domowej Jedi (confidence=0.99)

(ChunkerEvaluator) Sentence #32 from 00100521 from sent12

Text  : Właśnie na mostku Gwiezdnej Kuźni następuje ostateczny pojedynek pomiędzy Revanem i_ Malakiem ._
Tokens: 1______ 2_ 3_____ 4________ 5____ 6________ 7_________ 8________ 9_______ 10_____ 11 12______ 13

Chunks:
  TruePositive nam [4,5] = Gwiezdnej Kuźni (confidence=0.99)
  TruePositive nam [10,10] = Revanem (confidence=0.99)
  TruePositive nam [12,12] = Malakiem (confidence=1.00)

(ChunkerEvaluator) Sentence #33 from 00100521 from sent13

Text  : Wydarzenia te przedstawione są w grze komputerowej " Star Wars :_ Knights of the Old Republic "_ ._
Tokens: 1_________ 2_ 3____________ 4_ 5 6___ 7___________ 8 9___ 10__ 11 12_____ 13 14_ 15_ 16______ 17 18

Chunks:
  TruePositive nam [9,16] = Star Wars : Knights of the Old Republic (confidence=1.00)

2017-06-14 20:35:33,157 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100599.xml
(ChunkerEvaluator) Sentence #34 from 00100599 from sent1

Text  : Nie minęło wiele czasu od Nagrody Nobla , gdy pani Jelinek znów zrobiła się trochę zapomniana ._
Tokens: 1__ 2_____ 3____ 4____ 5_ 6______ 7____ 8 9__ 10__ 11_____ 12__ 13_____ 14_ 15____ 16________ 17

Chunks:
  TruePositive nam [6,7] = Nagrody Nobla (confidence=0.83)
  TruePositive nam [11,11] = Jelinek (confidence=0.93)

(ChunkerEvaluator) Sentence #35 from 00100599 from sent2

Text  : Zresztą nagrodę też jej przyznano jakoś tak półgębkiem i przy akompaniamencie szowinistycznych wyzwisk ._
Tokens: 1______ 2______ 3__ 4__ 5________ 6____ 7__ 8_________ 9 10__ 11_____________ 12______________ 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #36 from 00100599 from sent3

Text  : Weźmy taką Pianistkę - nie jest to raczej książka do omówienia przy rodzinnym obiedzie u_ wujostwa ._
Tokens: 1____ 2___ 3________ 4 5__ 6___ 7_ 8_____ 9______ 10 11_______ 12__ 13_______ 14______ 15 16______ 17

Chunks:
  FalseNegative nam [3,3] = Pianistkę

(ChunkerEvaluator) Sentence #37 from 00100599 from sent4

Text  : Nie porusza tematów górnolotnych , przy których dobrze upozować się na człowieka wrażliwego i_ przenikliwego ,_ gdzieś pomiędzy kaczką z_ jabłkami a_ likierem ._
Tokens: 1__ 2______ 3______ 4___________ 5 6___ 7______ 8_____ 9_______ 10_ 11 12_______ 13________ 14 15___________ 16 17____ 18______ 19____ 20 21______ 22 23______ 24

Chunks:

(ChunkerEvaluator) Sentence #38 from 00100599 from sent5

Text  : Porusza tematy bolesne i ciemne , przy czym porusza je uwodzicielsko ,_ dawkuje napięcie i_ sprawnie snuje historię ._
Tokens: 1______ 2_____ 3______ 4 5_____ 6 7___ 8___ 9______ 10 11___________ 12 13_____ 14______ 15 16______ 17___ 18______ 19

Chunks:

(ChunkerEvaluator) Sentence #39 from 00100599 from sent6

Text  : Tworzy ponurą i złożoną strukturę powiązań między bohaterami , którą później równie ponuro i_ w_ napięciu rozplątuje ._
Tokens: 1_____ 2_____ 3 4______ 5________ 6_______ 7_____ 8_________ 9 10___ 11_____ 12____ 13____ 14 15 16______ 17________ 18

Chunks:

(ChunkerEvaluator) Sentence #40 from 00100599 from sent7

Text  : I co to w ogóle ma znaczyć , że nie można się oderwać od powieści o_ przemocy psychicznej i_ napięciu seksualnym !_
Tokens: 1 2_ 3_ 4 5____ 6_ 7______ 8 9_ 10_ 11___ 12_ 13_____ 14 15______ 16 17______ 18_________ 19 20______ 21________ 22

Chunks:

(ChunkerEvaluator) Sentence #41 from 00100599 from sent8

Text  : Co więcej , można jeszcze uznać , że historia ta jest czymś więcej niż historią tych konkretnie postaci ,_ że pokazuje pewne uniwersalne sytuacje (_ jak to z_ dobrą literaturą czasem bywa )_ ._
Tokens: 1_ 2_____ 3 4____ 5______ 6____ 7 8_ 9_______ 10 11__ 12___ 13____ 14_ 15______ 16__ 17________ 18_____ 19 20 21______ 22___ 23_________ 24______ 25 26_ 27 28 29___ 30________ 31____ 32__ 33 34

Chunks:

(ChunkerEvaluator) Sentence #42 from 00100599 from sent9

Text  : Oj , biada .
Tokens: 1_ 2 3____ 4

Chunks:

(ChunkerEvaluator) Sentence #43 from 00100599 from sent10

Text  : To może obrzydzić nam deser , lub sprawić , że zamyślimy się tak ,_ że nam herbata wystygnie ._
Tokens: 1_ 2___ 3________ 4__ 5____ 6 7__ 8______ 9 10 11_______ 12_ 13_ 14 15 16_ 17_____ 18_______ 19

Chunks:

(ChunkerEvaluator) Sentence #44 from 00100599 from sent11

Text  : Jelinek jest jak piękny but , który ciśnie .
Tokens: 1______ 2___ 3__ 4_____ 5__ 6 7____ 8_____ 9

Chunks:
  FalseNegative nam [1,1] = Jelinek

(ChunkerEvaluator) Sentence #45 from 00100599 from sent12

Text  : Zamiast trzymać takie buty na widoku i cierpieć z powodu pytań :_
Tokens: 1______ 2______ 3____ 4___ 5_ 6_____ 7 8_______ 9 10____ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #46 from 00100599 from sent13

Text  : O , jakie piękne , czemu ich nie nosisz ?_
Tokens: 1 2 3____ 4_____ 5 6____ 7__ 8__ 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #47 from 00100599 from sent14

Text  : - lepiej wyrzucić je na śmietnik i zapomnieć .
Tokens: 1 2_____ 3_______ 4_ 5_ 6_______ 7 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #48 from 00100599 from sent15

Text  : Chyba , że przypadkiem będzie tam buszował jakiś niepoważny szwedzki akademik ._
Tokens: 1____ 2 3_ 4__________ 5_____ 6__ 7_______ 8____ 9_________ 10______ 11______ 12

Chunks:

2017-06-14 20:35:33,220 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100601.xml
(ChunkerEvaluator) Sentence #49 from 00100601 from sent1

Text  : Dodaję tutaj parę dalszych informacji o mnie i o blogu ,_ w_ postaci łatwej do czytania ankiety "_ pytanie i_ odpowiedź "_ :_ )_ Kim jest autorka tego bloga ,_ gdzie mieszka ,_ z_ kim ,_ dlaczego i_ po co ?_
Tokens: 1_____ 2____ 3___ 4_______ 5_________ 6 7___ 8 9 10___ 11 12 13_____ 14____ 15 16______ 17_____ 18 19_____ 20 21_______ 22 23 24 25_ 26__ 27_____ 28__ 29___ 30 31___ 32_____ 33 34 35_ 36 37______ 38 39 40 41

Chunks:

(ChunkerEvaluator) Sentence #50 from 00100601 from sent2

Text  : Kto wie ?
Tokens: 1__ 2__ 3

Chunks:

(ChunkerEvaluator) Sentence #51 from 00100601 from sent3

Text  : Mieszkam na Plejadach , włóczę się po świecie , mąż blisko mnie albo daleko ,_ zależy jak go praca pogoni ,_ i_ czy wolno mi z_ nim jechać (_ ze względu na zdrowie )_ ._
Tokens: 1_______ 2_ 3________ 4 5_____ 6__ 7_ 8______ 9 10_ 11____ 12__ 13__ 14____ 15 16____ 17_ 18 19___ 20____ 21 22 23_ 24___ 25 26 27_ 28____ 29 30 31_____ 32 33_____ 34 35

Chunks:
  TruePositive nam [3,3] = Plejadach (confidence=0.98)

(ChunkerEvaluator) Sentence #52 from 00100601 from sent4

Text  : Od lat już moje raczej stałe miejsca pobytu są poza Polską ._
Tokens: 1_ 2__ 3__ 4___ 5_____ 6____ 7______ 8_____ 9_ 10__ 11____ 12

Chunks:
  TruePositive nam [11,11] = Polską (confidence=1.00)

(ChunkerEvaluator) Sentence #53 from 00100601 from sent5

Text  : A po za tym , bardzo cenię ochronę sfery prywatnej ._
Tokens: 1 2_ 3_ 4__ 5 6_____ 7____ 8______ 9____ 10_______ 11

Chunks:

(ChunkerEvaluator) Sentence #54 from 00100601 from sent6

Text  : Wiem że to w czasach internetowo - multimedialnych prawie niemożliwe ._
Tokens: 1___ 2_ 3_ 4 5______ 6__________ 7 8______________ 9_____ 10________ 11

Chunks:

(ChunkerEvaluator) Sentence #55 from 00100601 from sent7

Text  : Ale mimo wszystko próbuję .
Tokens: 1__ 2___ 3_______ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #56 from 00100601 from sent8

Text  : Co to ma znaczyć " prawie wegetarianka " , jest to wege blog czy nie ?_
Tokens: 1_ 2_ 3_ 4______ 5 6_____ 7___________ 8 9 10__ 11 12__ 13__ 14_ 15_ 16

Chunks:

(ChunkerEvaluator) Sentence #57 from 00100601 from sent9

Text  : To jest mój prywatny blog o tematach kuchennych , bajecznych i_ innych ._
Tokens: 1_ 2___ 3__ 4_______ 5___ 6 7_______ 8_________ 9 10________ 11 12____ 13

Chunks:

(ChunkerEvaluator) Sentence #58 from 00100601 from sent10

Text  : Zwykle kuchennych i do tego związanych .
Tokens: 1_____ 2_________ 3 4_ 5___ 6_________ 7

Chunks:

(ChunkerEvaluator) Sentence #59 from 00100601 from sent11

Text  : Bo kuchnia to serce domu ( i przede wszystkim osoba lub osoby które w_ tej kuchni gotują )_ ,_ a_ dom to początek życia człowieka ._
Tokens: 1_ 2______ 3_ 4____ 5___ 6 7 8_____ 9________ 10___ 11_ 12___ 13___ 14 15_ 16____ 17____ 18 19 20 21_ 22 23______ 24___ 25_______ 26

Chunks:

(ChunkerEvaluator) Sentence #60 from 00100601 from sent12

Text  : Ja sama jestem praktycznie 100 % wege - wegan (_ przede wszystkim z_ powodów zdrowotnych ,_ ale nie tylko )_ ._
Tokens: 1_ 2___ 3_____ 4__________ 5__ 6 7___ 8 9____ 10 11____ 12_______ 13 14_____ 15_________ 16 17_ 18_ 19___ 20 21

Chunks:

(ChunkerEvaluator) Sentence #61 from 00100601 from sent13

Text  : Jedynie nie lubię fanatyzmu , wszystko jedno w którym kierunku (_ więcej o_ tym tutaj )_ Mąż nie jest wegetarianinem ._
Tokens: 1______ 2__ 3____ 4________ 5 6_______ 7____ 8 9_____ 10______ 11 12____ 13 14_ 15___ 16 17_ 18_ 19__ 20____________ 21

Chunks:
  FalsePositive nam [17,17] = Mąż (confidence=0.93) (incorrect boundry)

(ChunkerEvaluator) Sentence #62 from 00100601 from sent14

Text  : Co to znaczy " z powodów zdrowotnych " , o_ jaką chorobę chodzi ?_
Tokens: 1_ 2_ 3_____ 4 5 6______ 7__________ 8 9 10 11__ 12_____ 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #63 from 00100601 from sent15

Text  : To niestety nie jest tylko jedna choroba , to mieszanka paru chorób i_ lekarze do dziś się kłócą która jest która ,_ gdzie i_ dlaczego :_ /_ Główną częścią jest choroba częściowo zapalna ,_ reumatyczna i_ anty -_ komórkowa ,_ która niszczy organizm od środka podobnie do raka ,_ i_ według "_ nowoczesnych "_ lekarzy jest nieuleczalna ._
Tokens: 1_ 2_______ 3__ 4___ 5____ 6____ 7______ 8 9_ 10_______ 11__ 12____ 13 14_____ 15 16__ 17_ 18___ 19___ 20__ 21___ 22 23___ 24 25______ 26 27 28____ 29_____ 30__ 31_____ 32_______ 33_____ 34 35_________ 36 37__ 38 39_______ 40 41___ 42_____ 43______ 44 45____ 46______ 47 48__ 49 50 51____ 52 53__________ 54 55_____ 56__ 57__________ 58

Chunks:

(ChunkerEvaluator) Sentence #64 from 00100601 from sent16

Text  : Jedyną " opcją " dla mnie było by łykanie setek agresywnych "_ lekarstw "_ ,_ które by mnie nawet nie wyleczyły ,_ ani bólów nie zatrzymały ,_ jedynie trzymały w_ stanie pół umarłym ._
Tokens: 1_____ 2 3____ 4 5__ 6___ 7___ 8_ 9______ 10___ 11_________ 12 13______ 14 15 16___ 17 18__ 19___ 20_ 21_______ 22 23_ 24___ 25_ 26________ 27 28_____ 29______ 30 31____ 32_ 33_____ 34

Chunks:

(ChunkerEvaluator) Sentence #65 from 00100601 from sent17

Text  : Albo i nawet ta sama chemio - terapia jak w_ przypadku raka :_ /_ (_ ale bez żadnej szansy na wyleczenie )_ ._
Tokens: 1___ 2 3____ 4_ 5___ 6_____ 7 8______ 9__ 10 11_______ 12__ 13 14 15 16_ 17_ 18____ 19____ 20 21________ 22 23

Chunks:

(ChunkerEvaluator) Sentence #66 from 00100601 from sent18

Text  : Ale ja przecież żyć chcę i muszę !
Tokens: 1__ 2_ 3_______ 4__ 5___ 6 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #67 from 00100601 from sent19

Text  : Więc się sama wzięła m za to , i po wielu latach dosłownych męk i_ ryzykowania własnego życia znalazła m_ wiele odpowiedzi na pytania ,_ na które nawet lekarze mi nie odpowiadali :_ )_ ._
Tokens: 1___ 2__ 3___ 4_____ 5 6_ 7_ 8 9 10 11___ 12____ 13________ 14_ 15 16_________ 17______ 18___ 19______ 20 21___ 22________ 23 24_____ 25 26 27___ 28___ 29_____ 30 31_ 32_________ 33 34 35

Chunks:

(ChunkerEvaluator) Sentence #68 from 00100601 from sent20

Text  : Ratuje mnie codziennie magia przyrody , i jedzenia prosto od przyrody pochodzącego :_ )_ ._
Tokens: 1_____ 2___ 3_________ 4____ 5_______ 6 7 8_______ 9_____ 10 11______ 12__________ 13 14 15

Chunks:

(ChunkerEvaluator) Sentence #69 from 00100601 from sent21

Text  : Czy w tym blogu będzie pisanie o chorobach , lekarzach i_ szpitalach ?_
Tokens: 1__ 2 3__ 4____ 5_____ 6______ 7 8________ 9 10_______ 11 12________ 13

Chunks:

(ChunkerEvaluator) Sentence #70 from 00100601 from sent22

Text  : Absolutnie nie : / Chyba tylko gdy o tym napisać muszę ,_ bo to zatrzymuje blogowanie ,_ w_ stylu "_ mam właśnie grypę i_ nie będzie mnie tutaj "_ itp ._
Tokens: 1_________ 2__ 3 4 5____ 6____ 7__ 8 9__ 10_____ 11___ 12 13 14 15________ 16________ 17 18 19___ 20 21_ 22_____ 23___ 24 25_ 26____ 27__ 28___ 29 30_ 31

Chunks:

(ChunkerEvaluator) Sentence #71 from 00100601 from sent23

Text  : Mam bardzo wielką nadzieję że nigdy tu nic o żadnym szpitalu nie będę pisać ,_ chyba że by śmy wreszcie dziecko mieli ,_ ale i_ to mnie nie zmusi do pisania o_ szpitalach ._
Tokens: 1__ 2_____ 3_____ 4_______ 5_ 6____ 7_ 8__ 9 10____ 11______ 12_ 13__ 14___ 15 16___ 17 18 19_ 20______ 21_____ 22___ 23 24_ 25 26 27__ 28_ 29___ 30 31_____ 32 33________ 34

Chunks:

(ChunkerEvaluator) Sentence #72 from 00100601 from sent24

Text  : Tylko spowoduje otwarcie blogu specjalnie dla malucha : ) ._
Tokens: 1____ 2________ 3_______ 4____ 5_________ 6__ 7______ 8 9 10

Chunks:

(ChunkerEvaluator) Sentence #73 from 00100601 from sent25

Text  : Ja ten ( i poprzedni ) blog zaczęła m aby właśnie pomóc sobie skończyć z_ jakimikolwiek chorobami ,_ na zawsze ._
Tokens: 1_ 2__ 3 4 5________ 6 7___ 8______ 9 10_ 11_____ 12___ 13___ 14______ 15 16___________ 17_______ 18 19 20____ 21

Chunks:

(ChunkerEvaluator) Sentence #74 from 00100601 from sent26

Text  : Ja tu piszę o dobrych rzeczach : słońcu , przyrodzie ,_ dobrej kuchni ,_ poezji ,_ bajkach ,_ fantazji ,_ muzyce ,_ sztuce ,_ dzieciach ,_ humorze ._ ._ ._
Tokens: 1_ 2_ 3____ 4 5______ 6_______ 7 8_____ 9 10________ 11 12____ 13____ 14 15____ 16 17_____ 18 19______ 20 21____ 22 23____ 24 25_______ 26 27_____ 28 29 30

Chunks:

(ChunkerEvaluator) Sentence #75 from 00100601 from sent27

Text  : O mężu mniej , aby chronić jego sferę prywatną i_ szczególnie pracę ._
Tokens: 1 2___ 3____ 4 5__ 6______ 7___ 8____ 9_______ 10 11_________ 12___ 13

Chunks:

(ChunkerEvaluator) Sentence #76 from 00100601 from sent28

Text  : Od kiedy bloguję bardziej prywatnie i ostrożnie mąż przestał się tak gniewać ,_ i_ nawet częściej moje blogi odwiedza (_ co mnie bardzo ucieszyło !_ )_ ._
Tokens: 1_ 2____ 3______ 4_______ 5________ 6 7________ 8__ 9_______ 10_ 11_ 12_____ 13 14 15___ 16______ 17__ 18___ 19______ 20 21 22__ 23____ 24_______ 25 26 27

Chunks:

(ChunkerEvaluator) Sentence #77 from 00100601 from sent29

Text  : Skąd pochodzą zdjęcia w blogu ?
Tokens: 1___ 2_______ 3______ 4 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #78 from 00100601 from sent30

Text  : Większość z nich jest z Wikimedii , z Flickr Creative Commons albo z_ Google Obrazy Creative Commons ._
Tokens: 1________ 2 3___ 4___ 5 6________ 7 8 9_____ 10______ 11_____ 12__ 13 14____ 15____ 16______ 17_____ 18

Chunks:
  TruePositive nam [6,6] = Wikimedii (confidence=1.00)
  FalsePositive nam [9,11] = Flickr Creative Commons (confidence=1.00) (incorrect boundry)
  FalsePositive nam [14,17] = Google Obrazy Creative Commons (confidence=1.00) (incorrect boundry)
  FalseNegative nam [9,9] = Flickr
  FalseNegative nam [10,11] = Creative Commons
  FalseNegative nam [14,15] = Google Obrazy
  FalseNegative nam [16,17] = Creative Commons

(ChunkerEvaluator) Sentence #79 from 00100601 from sent31

Text  : Część jest moja własna .
Tokens: 1____ 2___ 3___ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #80 from 00100601 from sent32

Text  : Staram się nie dodawać tu żadnych zdjęć ani obrazów bez otwartej (_ publicznej )_ licencji ._
Tokens: 1_____ 2__ 3__ 4______ 5_ 6______ 7____ 8__ 9______ 10_ 11______ 12 13________ 14 15______ 16

Chunks:

(ChunkerEvaluator) Sentence #81 from 00100601 from sent33

Text  : Jeśli się to nie udaje to są zwykle zdjęcia ogólnie publikowane tysiące razy w_ internecie ._
Tokens: 1____ 2__ 3_ 4__ 5____ 6_ 7_ 8_____ 9______ 10_____ 11_________ 12_____ 13__ 14 15________ 16

Chunks:
  FalsePositive nam [15,15] = internecie (confidence=0.95) (incorrect boundry)

(ChunkerEvaluator) Sentence #82 from 00100601 from sent34

Text  : Nigdy nie zabieram nikomu jego prywatnych , blogowych albo podobnych zdjęć ,_ i_ nigdy nie udaję że coś co nie moje jest moje !_
Tokens: 1____ 2__ 3_______ 4_____ 5___ 6_________ 7 8________ 9___ 10_______ 11___ 12 13 14___ 15_ 16___ 17 18_ 19 20_ 21__ 22__ 23__ 24

Chunks:

(ChunkerEvaluator) Sentence #83 from 00100601 from sent35

Text  : Mój blog jest prywatny , nie jestem ani firma ,_ ani biznes ani nic ,_ nikomu nic nie niszczę ani nie zabieram ,_ ani nie mam żadnych master planów do podboju wszechświata :_ )_ ._
Tokens: 1__ 2___ 3___ 4_______ 5 6__ 7_____ 8__ 9____ 10 11_ 12____ 13_ 14_ 15 16____ 17_ 18_ 19_____ 20_ 21_ 22______ 23 24_ 25_ 26_ 27_____ 28____ 29____ 30 31_____ 32__________ 33 34 35

Chunks:

(ChunkerEvaluator) Sentence #84 from 00100601 from sent36

Text  : Co to jest " Licencja Creative Commons " ?
Tokens: 1_ 2_ 3___ 4 5_______ 6_______ 7______ 8 9

Chunks:
  FalsePositive nam [5,7] = Licencja Creative Commons (confidence=1.00) (incorrect boundry)
  FalseNegative nam [6,7] = Creative Commons

(ChunkerEvaluator) Sentence #85 from 00100601 from sent37

Text  : Nie ma praw autorskich ?
Tokens: 1__ 2_ 3___ 4_________ 5

Chunks:

(ChunkerEvaluator) Sentence #86 from 00100601 from sent38

Text  : Spokojnie , są prawa autorskie - podstawowe : ) Znaczy się że jeżeli ja zrobię zdjęcie ,_ jak np to tutaj :_ ._ ._ to jest to zdjęcie mojego autorstwa i_ to autorstwo nie znika :_ )_ ._
Tokens: 1________ 2 3_ 4____ 5________ 6 7_________ 8 9 10____ 11_ 12 13____ 14 15____ 16_____ 17 18_ 19 20 21___ 22 23 24 25 26__ 27 28_____ 29____ 30_______ 31 32 33_______ 34_ 35___ 36 37 38

Chunks:

(ChunkerEvaluator) Sentence #87 from 00100601 from sent39

Text  : Ale ja po prostu decyduję że to zdjęcie może każdy kto chce używac ,_ kiedy chce i_ do czego chce ,_ również komercjalnie ._
Tokens: 1__ 2_ 3_ 4_____ 5_______ 6_ 7_ 8______ 9___ 10___ 11_ 12__ 13____ 14 15___ 16__ 17 18 19___ 20__ 21 22_____ 23__________ 24

Chunks:

(ChunkerEvaluator) Sentence #88 from 00100601 from sent40

Text  : Na tym polega moja licencja : ) .
Tokens: 1_ 2__ 3_____ 4___ 5_______ 6 7 8

Chunks:

(ChunkerEvaluator) Sentence #89 from 00100601 from sent41

Text  : Nie zezłoszczę się ani nic jeśli ktoś nie pamięta mojego adresu i_ tylko wie że Creative Commons ,_ jedynie w_ przypadku użycia komercjalnego proszę o_ zawsze dodanie linku albo podpisu z_ adresem mojego bloga ._
Tokens: 1__ 2_________ 3__ 4__ 5__ 6____ 7___ 8__ 9______ 10____ 11____ 12 13___ 14_ 15 16______ 17_____ 18 19_____ 20 21_______ 22____ 23___________ 24____ 25 26____ 27_____ 28___ 29__ 30_____ 31 32_____ 33____ 34___ 35

Chunks:
  TruePositive nam [16,17] = Creative Commons (confidence=1.00)

(ChunkerEvaluator) Sentence #90 from 00100601 from sent42

Text  : Istnieją różne wersje licencji Creative Commons i należy trzymać się tego co autor albo autorka mówi ._
Tokens: 1_______ 2____ 3_____ 4_______ 5_______ 6______ 7 8_____ 9______ 10_ 11__ 12 13___ 14__ 15_____ 16__ 17

Chunks:
  TruePositive nam [5,6] = Creative Commons (confidence=0.99)

(ChunkerEvaluator) Sentence #91 from 00100601 from sent43

Text  : Co się stało z poprzednim blogiem " Kuchenka Internetowa "_ ?_
Tokens: 1_ 2__ 3____ 4 5_________ 6______ 7 8_______ 9__________ 10 11

Chunks:
  TruePositive nam [8,9] = Kuchenka Internetowa (confidence=1.00)

(ChunkerEvaluator) Sentence #92 from 00100601 from sent44

Text  : Tłumaczę to tutaj .
Tokens: 1_______ 2_ 3____ 4

Chunks:

(ChunkerEvaluator) Sentence #93 from 00100601 from sent45

Text  : Blog zostaje , tyle tylko że jako strona statyczna ,_ bez dalszych wpisów ._
Tokens: 1___ 2______ 3 4___ 5____ 6_ 7___ 8_____ 9________ 10 11_ 12______ 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #94 from 00100601 from sent46

Text  : Wszystkie przepisy i linki i zdjęcia też są .
Tokens: 1________ 2_______ 3 4____ 5 6______ 7__ 8_ 9

Chunks:

(ChunkerEvaluator) Sentence #95 from 00100601 from sent47

Text  : Ale główna strona to teraz Kuchenne bajki : ) (_ czyli ta w_ której właśnie jesteś )_ ._
Tokens: 1__ 2_____ 3_____ 4_ 5____ 6_______ 7____ 8 9 10 11___ 12 13 14____ 15_____ 16____ 17 18

Chunks:
  FalseNegative nam [6,7] = Kuchenne bajki

(ChunkerEvaluator) Sentence #96 from 00100601 from sent48

Text  : Czemu nagłówek bloga jest taki zimowy i niekulinarny ?
Tokens: 1____ 2_______ 3____ 4___ 5___ 6_____ 7 8___________ 9

Chunks:

(ChunkerEvaluator) Sentence #97 from 00100601 from sent49

Text  : Bo teraz jest zima : ) .
Tokens: 1_ 2____ 3___ 4___ 5 6 7

Chunks:

(ChunkerEvaluator) Sentence #98 from 00100601 from sent50

Text  : Ja zmieniam nagłówki z porami roku , mój poprzedni (_ nieaktywny )_ blog ma np ._ nadal nagłówek jesienny ,_ bo skończyła m_ tam pisać na jesieni ._
Tokens: 1_ 2_______ 3_______ 4 5_____ 6___ 7 8__ 9________ 10 11________ 12 13__ 14 15 16 17___ 18______ 19______ 20 21 22_______ 23 24_ 25___ 26 27_____ 28

Chunks:

(ChunkerEvaluator) Sentence #99 from 00100601 from sent51

Text  : Czyli z początkiem wiosny będzie tu nagłówek wiosenny , potem letni itd ._
Tokens: 1____ 2 3_________ 4_____ 5_____ 6_ 7_______ 8_______ 9 10___ 11___ 12_ 13

Chunks:

(ChunkerEvaluator) Sentence #100 from 00100601 from sent52

Text  : Zamierzam również nieco przystosowywać kolory bloga do pór roku :_ )_ ._
Tokens: 1________ 2______ 3____ 4_____________ 5_____ 6____ 7_ 8__ 9___ 10 11 12

Chunks:

(ChunkerEvaluator) Sentence #101 from 00100601 from sent53

Text  : A niekulinarny jest dlatego , bo ja kocham przyrodę nawet bardziej niż kuchnię ,_ i_ bardzo pragnęła m_ mieć choć trochę przyrody w_ blogu :_ )_ ._
Tokens: 1 2___________ 3___ 4______ 5 6_ 7_ 8_____ 9_______ 10___ 11______ 12_ 13_____ 14 15 16____ 17______ 18 19__ 20__ 21____ 22______ 23 24___ 25 26 27

Chunks:

2017-06-14 20:35:33,468 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00100622.xml
(ChunkerEvaluator) Sentence #102 from 00100622 from sent1

Text  : Organizatorzy chcą zaleźć odpowiedź na pytanie :
Tokens: 1____________ 2___ 3_____ 4________ 5_ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #103 from 00100622 from sent2

Text  : Czy możliwe jest zniesienie dyskryminacji kobiet , męskiej dominacji bez zniesienia innych form opresji ,_ dominacji ?_
Tokens: 1__ 2______ 3___ 4_________ 5____________ 6_____ 7 8______ 9________ 10_ 11________ 12____ 13__ 14_____ 15 16_______ 17

Chunks:

(ChunkerEvaluator) Sentence #104 from 00100622 from sent3

Text  : Czy radykalne ruchy społeczne jak np . skrajnie lewicowe czy anarchistyczne ,_ są w_ stanie rozwiązać palące problemy społeczne ,_ w_ tym problemy kobiet ?_
Tokens: 1__ 2________ 3____ 4________ 5__ 6_ 7 8_______ 9_______ 10_ 11____________ 12 13 14 15____ 16_______ 17____ 18______ 19_______ 20 21 22_ 23______ 24____ 25

Chunks:

(ChunkerEvaluator) Sentence #105 from 00100622 from sent4

Text  : Zgłoszenia osób z tytułami referatów i abstraktami proszę przesyłać na adres :_ emontwal @_ poczta ._ onet ._ pl ._
Tokens: 1_________ 2___ 3 4_______ 5________ 6 7__________ 8_____ 9________ 10 11___ 12 13______ 14 15____ 16 17__ 18 19 20

Chunks:
  FalsePositive nam [15,19] = poczta . onet . pl (confidence=0.36) (incorrect boundry)
  FalseNegative nam [13,19] = emontwal @ poczta . onet . pl

2017-06-14 20:35:33,488 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 7 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101187.xml
(ChunkerEvaluator) Sentence #106 from 00101187 from sent1

Text  : System ZEFIR – jest systemem informatycznym , który kompleksowo obsługuje sprawy związane z_ finansami i_ rachunkowością Polskiej Służby Celnej ._
Tokens: 1_____ 2____ 3 4___ 5_______ 6_____________ 7 8____ 9__________ 10_______ 11____ 12______ 13 14_______ 15 16____________ 17______ 18____ 19____ 20

Chunks:
  TruePositive nam [2,2] = ZEFIR (confidence=0.95)
  TruePositive nam [17,19] = Polskiej Służby Celnej (confidence=0.98)

(ChunkerEvaluator) Sentence #107 from 00101187 from sent2

Text  : Funkcje systemu
Tokens: 1______ 2______

Chunks:

(ChunkerEvaluator) Sentence #108 from 00101187 from sent3

Text  : System realizuje pełny zakres operacji finansowych wykonywanych w administracji celnej (_ tj ._ obsługę rejestracji ,_ poboru ,_ rozliczania ,_ oraz księgowania należności celnych i_ podatkowych )_ ._
Tokens: 1_____ 2________ 3____ 4_____ 5_______ 6__________ 7___________ 8 9____________ 10____ 11 12 13 14_____ 15_________ 16 17____ 18 19_________ 20 21__ 22_________ 23________ 24_____ 25 26_________ 27 28

Chunks:

(ChunkerEvaluator) Sentence #109 from 00101187 from sent4

Text  : Dane w nim zawarte umożliwiają wykonywanie raportów , które są wykorzystywane m_ ._ in ._ dla potrzeb statystyki ,_ oraz kontroli sprawowanej przez administrację celną ._
Tokens: 1___ 2 3__ 4______ 5__________ 6__________ 7_______ 8 9____ 10 11____________ 12 13 14 15 16_ 17_____ 18________ 19 20__ 21______ 22_________ 23___ 24___________ 25___ 26

Chunks:

(ChunkerEvaluator) Sentence #110 from 00101187 from sent5

Text  : System umożliwia również tworzenie różnorodnych raportów , uzależnionych od bieżących potrzeb ._
Tokens: 1_____ 2________ 3______ 4________ 5___________ 6_______ 7 8____________ 9_ 10_______ 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #111 from 00101187 from sent6

Text  : Dzięki swojej konstrukcji , ZEFIR jest systemem w pełni sparametryzowanym -_ w_ zależności od zmian w_ przepisach lub konieczności uzyskania dodatkowych informacji analitycznych ,_ możliwe jest bieżące wprowadzanie zdefiniowanych wysokości stawek odsetek ,_ nowej Księgi Głównej ,_ planu kont ,_ wzorców księgowań ,_ itd ._
Tokens: 1_____ 2_____ 3__________ 4 5____ 6___ 7_______ 8 9____ 10_______________ 11 12 13________ 14 15___ 16 17________ 18_ 19__________ 20_______ 21_________ 22________ 23___________ 24 25_____ 26__ 27_____ 28__________ 29____________ 30_______ 31____ 32_____ 33 34___ 35____ 36_____ 37 38___ 39__ 40 41_____ 42_______ 43 44_ 45

Chunks:
  TruePositive nam [5,5] = ZEFIR (confidence=0.96)
  FalsePositive nam [35,36] = Księgi Głównej (confidence=0.98) (incorrect boundry)

(ChunkerEvaluator) Sentence #112 from 00101187 from sent7

Text  : ZEFIR jest powiązany z innymi systemami dedykowanymi Służbie Celnej (_ m_ ._ in ._ z_ systemem zgłoszeń celnych -_ CELINA ,_ czy NCTS -_ systemem operacji tranzytowych )_ ._
Tokens: 1____ 2___ 3________ 4 5_____ 6________ 7___________ 8______ 9_____ 10 11 12 13 14 15 16______ 17______ 18_____ 19 20____ 21 22_ 23__ 24 25______ 26______ 27__________ 28 29

Chunks:
  TruePositive nam [1,1] = ZEFIR (confidence=1.00)
  TruePositive nam [8,9] = Służbie Celnej (confidence=1.00)
  TruePositive nam [20,20] = CELINA (confidence=0.89)
  TruePositive nam [23,23] = NCTS (confidence=0.99)

(ChunkerEvaluator) Sentence #113 from 00101187 from sent8

Text  : Uzyskał akceptację , jako działający zgodnie z wymaganiami UE ._
Tokens: 1______ 2_________ 3 4___ 5_________ 6______ 7 8__________ 9_ 10

Chunks:
  TruePositive nam [9,9] = UE (confidence=1.00)

(ChunkerEvaluator) Sentence #114 from 00101187 from sent9

Text  : Korzyści z wdrożenia systemu
Tokens: 1_______ 2 3________ 4______

Chunks:

(ChunkerEvaluator) Sentence #115 from 00101187 from sent10

Text  : Zwiększenie skuteczności rozliczeń i windykacji należności Skarbu Państwa .
Tokens: 1__________ 2___________ 3________ 4 5_________ 6_________ 7_____ 8______ 9

Chunks:
  TruePositive nam [7,8] = Skarbu Państwa (confidence=1.00)

(ChunkerEvaluator) Sentence #116 from 00101187 from sent11

Text  : Szybki dostęp do danych finansowych , oraz historii dokumentów ._
Tokens: 1_____ 2_____ 3_ 4_____ 5__________ 6 7___ 8_______ 9_________ 10

Chunks:

(ChunkerEvaluator) Sentence #117 from 00101187 from sent12

Text  : Zwiększenie kontroli i nadzoru służbowego nad całokształtem spraw finansowo -_ księgowych ._
Tokens: 1__________ 2_______ 3 4______ 5_________ 6__ 7____________ 8____ 9________ 10 11________ 12

Chunks:

(ChunkerEvaluator) Sentence #118 from 00101187 from sent13

Text  : Ujednolicenie planu kont i wzorców księgowań oraz procesów finansowo -_ księgowych we wszystkich jednostkach administracji celnej ._
Tokens: 1____________ 2____ 3___ 4 5______ 6________ 7___ 8_______ 9________ 10 11________ 12 13________ 14_________ 15___________ 16____ 17

Chunks:

(ChunkerEvaluator) Sentence #119 from 00101187 from sent14

Text  : Prowadzenie elektronicznej wymiany danych z Narodowym Bankiem Polskim .
Tokens: 1__________ 2_____________ 3______ 4_____ 5 6________ 7______ 8______ 9

Chunks:
  TruePositive nam [6,8] = Narodowym Bankiem Polskim (confidence=1.00)

(ChunkerEvaluator) Sentence #120 from 00101187 from sent15

Text  : Realizowanie importu i eksportu danych z i do systemu ._
Tokens: 1___________ 2______ 3 4_______ 5_____ 6 7 8_ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #121 from 00101187 from sent16

Text  : Połączenie z systemem CELINA - możliwe jest automatyczne przekazywanie do ZEFIRA danych ze zgłoszeń celnych ,_ oraz powiązanie z_ tym systemem mechanizmu zwalniania towarów działającego w_ ramach CELINY ._
Tokens: 1_________ 2 3_______ 4_____ 5 6______ 7___ 8___________ 9____________ 10 11____ 12____ 13 14______ 15_____ 16 17__ 18________ 19 20_ 21______ 22________ 23________ 24_____ 25__________ 26 27____ 28____ 29

Chunks:
  TruePositive nam [4,4] = CELINA (confidence=0.99)
  TruePositive nam [11,11] = ZEFIRA (confidence=0.93)
  TruePositive nam [28,28] = CELINY (confidence=0.99)

(ChunkerEvaluator) Sentence #122 from 00101187 from sent17

Text  : Podsystemy systemu ZEFIR
Tokens: 1_________ 2______ 3____

Chunks:
  TruePositive nam [3,3] = ZEFIR (confidence=0.75)

(ChunkerEvaluator) Sentence #123 from 00101187 from sent18

Text  : System OSOZ ( Ogólnopolski System Obsługi Zabezpieczeń i Pozwoleń )_ jest centralnym podsystemem Systemu ZEFIR wykorzystującym standard XML do komunikacji z_ podmiotami gospodarczymi i_ Systemami Celnymi (_ np ._ NCTS ,_ CELINA )_ ._
Tokens: 1_____ 2___ 3 4___________ 5_____ 6______ 7___________ 8 9_______ 10 11__ 12________ 13_________ 14_____ 15___ 16_____________ 17______ 18_ 19 20_________ 21 22________ 23___________ 24 25_______ 26_____ 27 28 29 30__ 31 32____ 33 34

Chunks:
  TruePositive nam [2,2] = OSOZ (confidence=0.95)
  TruePositive nam [4,9] = Ogólnopolski System Obsługi Zabezpieczeń i Pozwoleń (confidence=0.87)
  TruePositive nam [15,15] = ZEFIR (confidence=0.60)
  TruePositive nam [18,18] = XML (confidence=0.75)
  TruePositive nam [30,30] = NCTS (confidence=1.00)
  TruePositive nam [32,32] = CELINA (confidence=0.97)
  FalsePositive nam [14,14] = Systemu (confidence=0.97) (incorrect boundry)
  FalsePositive nam [25,26] = Systemami Celnymi (confidence=0.98) (incorrect boundry)

(ChunkerEvaluator) Sentence #124 from 00101187 from sent19

Text  : Celem Systemu jest zapewnienie systemom Celina , NCTS , ZEFIR i_ innym elektronicznych usług przez nie wymaganych ._
Tokens: 1____ 2______ 3___ 4__________ 5_______ 6_____ 7 8___ 9 10___ 11 12___ 13_____________ 14___ 15___ 16_ 17________ 18

Chunks:
  TruePositive nam [6,6] = Celina (confidence=1.00)
  TruePositive nam [8,8] = NCTS (confidence=1.00)
  TruePositive nam [10,10] = ZEFIR (confidence=0.98)

(ChunkerEvaluator) Sentence #125 from 00101187 from sent20

Text  : Zakres tych usług dotyczy obsługi zabezpieczeń wykorzystywanych podczas rejestracji zgłoszeń celnych i_ deklaracji podatkowych ._
Tokens: 1_____ 2___ 3____ 4______ 5______ 6___________ 7_______________ 8______ 9__________ 10______ 11_____ 12 13________ 14_________ 15

Chunks:

(ChunkerEvaluator) Sentence #126 from 00101187 from sent21

Text  : Mechanizm INFOP - to nowa funkcjonalność Systemu ZEFIR , pozwalająca na przesyłanie do kontrahentów pod zadeklarowany przez nich adres e_ -_ mail informacji o_ sposobie rozliczenia dokonanej wpłaty ,_ oraz cyklicznych informacji o_ stanie zadłużenia ._
Tokens: 1________ 2____ 3 4_ 5___ 6_____________ 7______ 8____ 9 10_________ 11 12_________ 13 14__________ 15_ 16___________ 17___ 18__ 19___ 20 21 22__ 23________ 24 25______ 26_________ 27_______ 28____ 29 30__ 31_________ 32________ 33 34____ 35________ 36

Chunks:
  FalsePositive nam [1,2] = Mechanizm INFOP (confidence=0.83) (incorrect boundry)
  FalsePositive nam [7,8] = Systemu ZEFIR (confidence=0.88) (incorrect boundry)
  FalseNegative nam [2,2] = INFOP
  FalseNegative nam [8,8] = ZEFIR

2017-06-14 20:35:33,589 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 8 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101219.xml
(ChunkerEvaluator) Sentence #127 from 00101219 from sent1

Text  : Bitwa pod Suchodołem
Tokens: 1____ 2__ 3_________

Chunks:
  TruePositive nam [1,3] = Bitwa pod Suchodołem (confidence=0.98)

(ChunkerEvaluator) Sentence #128 from 00101219 from sent2

Text  : Bitwa pod Suchodołem – bitwa stoczona 25 maja 1243 pomiędzy rycerstwem małopolskim Bolesława Wstydliwego ,_ wspartym posiłkami węgierskimi pod wodzą Klemensa z_ Ruszczy ,_ a_ rycerstwem mazowieckim Konrada I_ ,_ wspartego przez oddziały Mieszka II Otyłego i_ Przemysła I_ ._
Tokens: 1____ 2__ 3_________ 4 5____ 6_______ 7_ 8___ 9___ 10______ 11________ 12_________ 13_______ 14_________ 15 16______ 17_______ 18_________ 19_ 20___ 21______ 22 23_____ 24 25 26________ 27_________ 28_____ 29 30 31_______ 32___ 33______ 34_____ 35 36_____ 37 38_______ 39 40

Chunks:
  TruePositive nam [1,3] = Bitwa pod Suchodołem (confidence=0.96)
  TruePositive nam [13,14] = Bolesława Wstydliwego (confidence=1.00)
  TruePositive nam [28,29] = Konrada I (confidence=1.00)
  TruePositive nam [34,36] = Mieszka II Otyłego (confidence=1.00)
  TruePositive nam [38,39] = Przemysła I (confidence=1.00)
  FalsePositive nam [21,21] = Klemensa (confidence=1.00) (incorrect boundry)
  FalsePositive nam [23,23] = Ruszczy (confidence=0.97) (incorrect boundry)
  FalseNegative nam [21,23] = Klemensa z Ruszczy

(ChunkerEvaluator) Sentence #129 from 00101219 from sent3

Text  : W wyniku doznanej klęski książę Konrad mazowiecki utracił ostatecznie Kraków ,_ stolicę dzielnicy senioralnej ,_ zajęty przez niego po śmierci Henryka II Pobożnego pod Legnicą ._
Tokens: 1 2_____ 3_______ 4_____ 5_____ 6_____ 7_________ 8______ 9__________ 10____ 11 12_____ 13_______ 14_________ 15 16____ 17___ 18___ 19 20_____ 21_____ 22 23_______ 24_ 25_____ 26

Chunks:
  TruePositive nam [6,7] = Konrad mazowiecki (confidence=1.00)
  TruePositive nam [10,10] = Kraków (confidence=0.99)
  TruePositive nam [21,23] = Henryka II Pobożnego (confidence=1.00)
  TruePositive nam [25,25] = Legnicą (confidence=0.99)

(ChunkerEvaluator) Sentence #130 from 00101219 from sent4

Text  : W bitwie tej poważne rany odniósł także zięć Konrada ,_ książę opolsko -_ raciborski Mieszko II ._
Tokens: 1 2_____ 3__ 4______ 5___ 6______ 7____ 8___ 9______ 10 11____ 12_____ 13 14________ 15_____ 16 17

Chunks:
  TruePositive nam [9,9] = Konrada (confidence=0.98)
  TruePositive nam [15,16] = Mieszko II (confidence=0.95)

(ChunkerEvaluator) Sentence #131 from 00101219 from sent5

Text  : Nie był to koniec walk o dzielnicę krakowską , Konrad dokonywał jeszcze dwukrotnie najazdów ,_ w_ 1244 i_ w_ 1246 ._
Tokens: 1__ 2__ 3_ 4_____ 5___ 6 7________ 8________ 9 10____ 11_______ 12_____ 13________ 14______ 15 16 17__ 18 19 20__ 21

Chunks:
  TruePositive nam [10,10] = Konrad (confidence=1.00)
  FalseNegative nam [7,8] = dzielnicę krakowską

2017-06-14 20:35:33,618 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 9 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101227.xml
(ChunkerEvaluator) Sentence #132 from 00101227 from sent1

Text  : Aleksander Mackiewicz
Tokens: 1_________ 2_________

Chunks:
  TruePositive nam [1,2] = Aleksander Mackiewicz (confidence=1.00)

(ChunkerEvaluator) Sentence #133 from 00101227 from sent2

Text  : Aleksander Mackiewicz ( ur . 6 września 1944 w Chemnitz )_ –_ polski ekonomista i_ polityk ,_ minister rynku wewnętrznego (_ 1989 –_ 1991 )_ ,_ przewodniczący Stronnictwa Demokratycznego (_ 1990 –_ 1991 )_ ._
Tokens: 1_________ 2_________ 3 4_ 5 6 7_______ 8___ 9 10______ 11 12 13____ 14________ 15 16_____ 17 18______ 19___ 20__________ 21 22__ 23 24__ 25 26 27____________ 28_________ 29_____________ 30 31__ 32 33__ 34 35

Chunks:
  TruePositive nam [1,2] = Aleksander Mackiewicz (confidence=1.00)
  TruePositive nam [10,10] = Chemnitz (confidence=1.00)
  TruePositive nam [28,29] = Stronnictwa Demokratycznego (confidence=1.00)

(ChunkerEvaluator) Sentence #134 from 00101227 from sent3

Text  : Życiorys
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #135 from 00101227 from sent4

Text  : W latach 1964 – 1968 studiował na Wydziale Ekonomii Uniwersytetu Warszawskiego ,_ jednak w_ 1968 z_ powodów politycznych został aresztowany i_ relegowany z_ uczelni ._
Tokens: 1 2_____ 3___ 4 5___ 6________ 7_ 8_______ 9_______ 10__________ 11___________ 12 13____ 14 15__ 16 17_____ 18__________ 19____ 20_________ 21 22________ 23 24_____ 25

Chunks:
  FalsePositive nam [8,11] = Wydziale Ekonomii Uniwersytetu Warszawskiego (confidence=0.89) (incorrect boundry)
  FalseNegative nam [8,9] = Wydziale Ekonomii
  FalseNegative nam [10,11] = Uniwersytetu Warszawskiego

(ChunkerEvaluator) Sentence #136 from 00101227 from sent5

Text  : Pracował jako stażysta w Domu Słowa Polskiego , a w_ latach 1970 –_ 1978 w_ Centralnym Ośrodku Planowania ,_ Organizacji i_ Zarządzania Przedsiębiorstwa Polska Poczta –_ Telefon –_ Telegraf ._
Tokens: 1_______ 2___ 3_______ 4 5___ 6____ 7________ 8 9 10 11____ 12__ 13 14__ 15 16________ 17_____ 18________ 19 20_________ 21 22_________ 23______________ 24____ 25____ 26 27_____ 28 29______ 30

Chunks:
  TruePositive nam [5,7] = Domu Słowa Polskiego (confidence=1.00)
  FalsePositive nam [16,18] = Centralnym Ośrodku Planowania (confidence=1.00) (incorrect boundry)
  FalsePositive nam [20,20] = Organizacji (confidence=0.91) (incorrect boundry)
  FalsePositive nam [22,25] = Zarządzania Przedsiębiorstwa Polska Poczta (confidence=0.99) (incorrect boundry)
  FalsePositive nam [27,27] = Telefon (confidence=0.93) (incorrect boundry)
  FalsePositive nam [29,29] = Telegraf (confidence=0.92) (incorrect boundry)
  FalseNegative nam [16,22] = Centralnym Ośrodku Planowania , Organizacji i Zarządzania
  FalseNegative nam [24,29] = Polska Poczta – Telefon – Telegraf

(ChunkerEvaluator) Sentence #137 from 00101227 from sent6

Text  : Studia ukończył zaocznie w 1973 .
Tokens: 1_____ 2_______ 3_______ 4 5___ 6

Chunks:

(ChunkerEvaluator) Sentence #138 from 00101227 from sent7

Text  : W 1979 podjął pracę w związanym z ChSS Spółdzielczym Zjednoczeniu Przemysłowym "_ Ars Christiana "_ (_ m_ ._ in ._ jako dyrektor naczelny )_ ._
Tokens: 1 2___ 3_____ 4____ 5 6________ 7 8___ 9____________ 10__________ 11__________ 12 13_ 14________ 15 16 17 18 19 20 21__ 22______ 23______ 24 25

Chunks:
  FalsePositive nam [8,14] = ChSS Spółdzielczym Zjednoczeniu Przemysłowym " Ars Christiana (confidence=1.00) (incorrect boundry)
  FalseNegative nam [8,8] = ChSS
  FalseNegative nam [9,15] = Spółdzielczym Zjednoczeniu Przemysłowym " Ars Christiana "

(ChunkerEvaluator) Sentence #139 from 00101227 from sent8

Text  : Od 12 września 1989 do 14 grudnia 1990 minister rynku wewnętrznego w_ rządzie Tadeusza Mazowieckiego ._
Tokens: 1_ 2_ 3_______ 4___ 5_ 6_ 7______ 8___ 9_______ 10___ 11__________ 12 13_____ 14______ 15___________ 16

Chunks:
  TruePositive nam [14,15] = Tadeusza Mazowieckiego (confidence=1.00)

(ChunkerEvaluator) Sentence #140 from 00101227 from sent9

Text  : Oskarżony po latach przed Trybunałem Stanu w związku z aferą alkoholową ,_ 18 czerwca 1997 został przez Trybunał uniewinniony ._
Tokens: 1________ 2_ 3_____ 4____ 5_________ 6____ 7 8______ 9 10___ 11________ 12 13 14_____ 15__ 16____ 17___ 18______ 19__________ 20

Chunks:
  TruePositive nam [5,6] = Trybunałem Stanu (confidence=0.93)

(ChunkerEvaluator) Sentence #141 from 00101227 from sent10

Text  : W 1975 wstąpił do Stronnictwa Demokratycznego , którego był przewodniczącym w_ latach 1990 –_ 1991 ._
Tokens: 1 2___ 3______ 4_ 5__________ 6______________ 7 8______ 9__ 10_____________ 11 12____ 13__ 14 15__ 16

Chunks:
  TruePositive nam [5,6] = Stronnictwa Demokratycznego (confidence=0.99)

(ChunkerEvaluator) Sentence #142 from 00101227 from sent11

Text  : Kandydował z pierwszego miejsca listy krajowej SD w wyborach parlamentarnych 1991 ._
Tokens: 1_________ 2 3_________ 4______ 5____ 6_______ 7_ 8 9_______ 10_____________ 11__ 12

Chunks:
  TruePositive nam [7,7] = SD (confidence=0.93)

(ChunkerEvaluator) Sentence #143 from 00101227 from sent12

Text  : Obwiniany za klęskę wyborczą ugrupowania podał się do dymisji ._
Tokens: 1________ 2_ 3_____ 4_______ 5__________ 6____ 7__ 8_ 9______ 10

Chunks:

2017-06-14 20:35:33,672 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 10 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101229.xml
(ChunkerEvaluator) Sentence #144 from 00101229 from sent1

Text  : Johann Baptist Cramer
Tokens: 1_____ 2______ 3_____

Chunks:
  TruePositive nam [1,3] = Johann Baptist Cramer (confidence=1.00)

(ChunkerEvaluator) Sentence #145 from 00101229 from sent2

Text  : Johann Baptist Cramer ( ur . 24 lutego 1771 w_ Mannheim ,_ zm ._ 16 kwietnia 1858 w_ Londynie )_ ,_ niemiecki pianista i_ kompozytor ._
Tokens: 1_____ 2______ 3_____ 4 5_ 6 7_ 8_____ 9___ 10 11______ 12 13 14 15 16______ 17__ 18 19______ 20 21 22_______ 23______ 24 25________ 26

Chunks:
  TruePositive nam [1,3] = Johann Baptist Cramer (confidence=1.00)
  TruePositive nam [11,11] = Mannheim (confidence=1.00)
  TruePositive nam [19,19] = Londynie (confidence=1.00)

(ChunkerEvaluator) Sentence #146 from 00101229 from sent3

Text  : Przez 34 lata mieszkał i tworzył w Anglii .
Tokens: 1____ 2_ 3___ 4_______ 5 6______ 7 8_____ 9

Chunks:
  TruePositive nam [8,8] = Anglii (confidence=1.00)

(ChunkerEvaluator) Sentence #147 from 00101229 from sent4

Text  : Tu założył wydawnictwo muzyczne i skomponował liczne utwory fortepianowe ._
Tokens: 1_ 2______ 3__________ 4_______ 5 6__________ 7_____ 8_____ 9___________ 10

Chunks:

2017-06-14 20:35:33,685 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 11 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101236.xml
(ChunkerEvaluator) Sentence #148 from 00101236 from sent1

Text  : Leszek Mazowiecki ( ur . ok . 1162 lub nieco wcześniej ,_ zm ._ 1186 )_ ,_ książę mazowiecki w_ latach 1173 -_ 1186 ._
Tokens: 1_____ 2_________ 3 4_ 5 6_ 7 8___ 9__ 10___ 11_______ 12 13 14 15__ 16 17 18____ 19________ 20 21____ 22__ 23 24__ 25

Chunks:
  TruePositive nam [1,2] = Leszek Mazowiecki (confidence=1.00)

(ChunkerEvaluator) Sentence #149 from 00101236 from sent2

Text  : Leszek był drugim pod względem starszeństwa synem Bolesława IV Kędzierzawego i_ jego pierwszej żony Wierzchosławy nowogrodzkiej ._
Tokens: 1_____ 2__ 3_____ 4__ 5_______ 6___________ 7____ 8________ 9_ 10___________ 11 12__ 13_______ 14__ 15___________ 16___________ 17

Chunks:
  TruePositive nam [1,1] = Leszek (confidence=0.98)
  TruePositive nam [8,10] = Bolesława IV Kędzierzawego (confidence=1.00)
  TruePositive nam [15,16] = Wierzchosławy nowogrodzkiej (confidence=0.98)

(ChunkerEvaluator) Sentence #150 from 00101236 from sent3

Text  : Niegdyś sądzono , że jego matką była druga żona Maria ._
Tokens: 1______ 2______ 3 4_ 5___ 6____ 7___ 8____ 9___ 10___ 11

Chunks:
  TruePositive nam [10,10] = Maria (confidence=0.99)

(ChunkerEvaluator) Sentence #151 from 00101236 from sent4

Text  : Po odkryciu monet Leszka , który nazywa siebie na nich synem Bolesława i_ Anastazji (_ drugie imię Wierzchosławy )_ ,_ pogląd ten okazał się nietrafny ._
Tokens: 1_ 2_______ 3____ 4_____ 5 6____ 7_____ 8_____ 9_ 10__ 11___ 12_______ 13 14_______ 15 16____ 17__ 18___________ 19 20 21____ 22_ 23____ 24_ 25_______ 26

Chunks:
  TruePositive nam [4,4] = Leszka (confidence=0.88)
  TruePositive nam [18,18] = Wierzchosławy (confidence=1.00)
  FalsePositive nam [12,14] = Bolesława i Anastazji (confidence=1.00) (incorrect boundry)
  FalseNegative nam [12,12] = Bolesława
  FalseNegative nam [14,14] = Anastazji

(ChunkerEvaluator) Sentence #152 from 00101236 from sent5

Text  : Imię Leszka mogło nawiązywać bądź do tradycji dworskiej utrwalonej w_ Kronice polskiej Anonima tzw ._ Galla lub do wcześnie zmarłego stryja ,_ syna Bolesława III Krzywoustego Leszka Bolesławowica ._
Tokens: 1___ 2_____ 3____ 4_________ 5___ 6_ 7_______ 8________ 9_________ 10 11_____ 12______ 13_____ 14_ 15 16___ 17_ 18 19______ 20______ 21____ 22 23__ 24_______ 25_ 26__________ 27____ 28___________ 29

Chunks:
  TruePositive nam [2,2] = Leszka (confidence=1.00)
  TruePositive nam [24,26] = Bolesława III Krzywoustego (confidence=1.00)
  TruePositive nam [27,28] = Leszka Bolesławowica (confidence=0.64)
  FalsePositive nam [11,11] = Kronice (confidence=1.00) (incorrect boundry)
  FalsePositive nam [13,13] = Anonima (confidence=0.97) (incorrect boundry)
  FalsePositive nam [16,16] = Galla (confidence=1.00) (incorrect boundry)
  FalseNegative nam [11,12] = Kronice polskiej
  FalseNegative nam [13,16] = Anonima tzw . Galla

(ChunkerEvaluator) Sentence #153 from 00101236 from sent6

Text  : Po śmierci w 1172 roku starszego brata Bolesława stał się jedynym dziedzicem ojca ._
Tokens: 1_ 2______ 3 4___ 5___ 6________ 7____ 8________ 9___ 10_ 11_____ 12________ 13__ 14

Chunks:
  TruePositive nam [8,8] = Bolesława (confidence=1.00)

(ChunkerEvaluator) Sentence #154 from 00101236 from sent7

Text  : Dzielnicę ojcowską przyszło mu objąć już w wieku około 12 lat ,_ początkowo pod opieką Kazimierza II Sprawiedliwego ._
Tokens: 1________ 2_______ 3_______ 4_ 5____ 6__ 7 8____ 9____ 10 11_ 12 13________ 14_ 15____ 16________ 17 18____________ 19

Chunks:
  TruePositive nam [16,18] = Kazimierza II Sprawiedliwego (confidence=1.00)

(ChunkerEvaluator) Sentence #155 from 00101236 from sent8

Text  : Leszek , jak zapisał w swojej kronice Wincenty Kadłubek ,_ był niezwykle słabego zdrowia i_ z_ tego powodu jeszcze w_ 1177 roku rządy sprawował w_ jego imieniu możnowładca mazowiecki Żyron ._
Tokens: 1_____ 2 3__ 4______ 5 6_____ 7______ 8_______ 9_______ 10 11_ 12_______ 13_____ 14_____ 15 16 17__ 18____ 19_____ 20 21__ 22__ 23___ 24_______ 25 26__ 27_____ 28_________ 29________ 30___ 31

Chunks:
  TruePositive nam [1,1] = Leszek (confidence=0.74)
  TruePositive nam [8,9] = Wincenty Kadłubek (confidence=1.00)
  TruePositive nam [30,30] = Żyron (confidence=0.73)

(ChunkerEvaluator) Sentence #156 from 00101236 from sent9

Text  : Formalnie samodzielne rządy Leszek objął dopiero po 1177 roku i_ w_ swojej polityce oparł się na ścisłej współpracy z_ Kazimierzem II Sprawiedliwym ,_ którego interesów w_ księstwie mazowieckim pilnował od momentu objęcia władzy w_ Krakowie przez tego ostatniego możnowładca mazowiecki Żyron ._
Tokens: 1________ 2__________ 3____ 4_____ 5____ 6______ 7_ 8___ 9___ 10 11 12____ 13______ 14___ 15_ 16 17_____ 18________ 19 20_________ 21 22___________ 23 24_____ 25_______ 26 27_______ 28_________ 29______ 30 31_____ 32_____ 33____ 34 35______ 36___ 37__ 38________ 39_________ 40________ 41___ 42

Chunks:
  TruePositive nam [4,4] = Leszek (confidence=1.00)
  TruePositive nam [20,22] = Kazimierzem II Sprawiedliwym (confidence=1.00)
  TruePositive nam [35,35] = Krakowie (confidence=1.00)
  TruePositive nam [41,41] = Żyron (confidence=0.72)
  FalseNegative nam [27,28] = księstwie mazowieckim

(ChunkerEvaluator) Sentence #157 from 00101236 from sent10

Text  : Przejawem dobrych stosunków było uczestnictwo razem z Kazimierzem w wojnie z_ księciem mińskim Włodzimierzem ,_ który w_ 1180 roku zagarnął księstwo brzeskie należące do szwagra Leszka ,_ Wasylka ._
Tokens: 1________ 2______ 3________ 4___ 5___________ 6____ 7 8__________ 9 10____ 11 12______ 13_____ 14___________ 15 16___ 17 18__ 19__ 20______ 21______ 22______ 23______ 24 25_____ 26____ 27 28_____ 29

Chunks:
  TruePositive nam [8,8] = Kazimierzem (confidence=1.00)
  TruePositive nam [14,14] = Włodzimierzem (confidence=0.99)
  TruePositive nam [26,26] = Leszka (confidence=1.00)
  TruePositive nam [28,28] = Wasylka (confidence=0.91)
  FalseNegative nam [21,22] = księstwo brzeskie

(ChunkerEvaluator) Sentence #158 from 00101236 from sent11

Text  : Po długiej i wyczerpującej wojnie , Brześcia ostatecznie nie udało się odzyskać ,_ zaś Wasylko przekazał wszelkie prawa do swoich włości Leszkowi (_ Brześć do Polski przyłączył dopiero Kazimierz Sprawiedliwy w_ 1191 roku )_ ._
Tokens: 1_ 2______ 3 4____________ 5_____ 6 7_______ 8__________ 9__ 10___ 11_ 12______ 13 14_ 15_____ 16_______ 17______ 18___ 19 20____ 21____ 22______ 23 24____ 25 26____ 27________ 28_____ 29_______ 30__________ 31 32__ 33__ 34 35

Chunks:
  TruePositive nam [7,7] = Brześcia (confidence=0.98)
  TruePositive nam [15,15] = Wasylko (confidence=0.69)
  TruePositive nam [22,22] = Leszkowi (confidence=1.00)
  TruePositive nam [24,24] = Brześć (confidence=0.80)
  TruePositive nam [26,26] = Polski (confidence=0.99)
  TruePositive nam [29,30] = Kazimierz Sprawiedliwy (confidence=1.00)

(ChunkerEvaluator) Sentence #159 from 00101236 from sent12

Text  : W 1184 roku Leszek dość niespodziewanie zmienił swą politykę dynastyczną ._
Tokens: 1 2___ 3___ 4_____ 5___ 6______________ 7______ 8__ 9_______ 10_________ 11

Chunks:
  TruePositive nam [4,4] = Leszek (confidence=0.99)

(ChunkerEvaluator) Sentence #160 from 00101236 from sent13

Text  : Z nie znanych powodów zawezwał na dwór do Płocka syna Mieszka III Starego Mieszka Młodszego i_ powierzył mu rządy namiestnicze ._
Tokens: 1 2__ 3______ 4______ 5_______ 6_ 7___ 8_ 9_____ 10__ 11_____ 12_ 13_____ 14_____ 15_______ 16 17_______ 18 19___ 20__________ 21

Chunks:
  FalsePositive nam [9,15] = Płocka syna Mieszka III Starego Mieszka Młodszego (confidence=0.96) (incorrect boundry)
  FalseNegative nam [9,9] = Płocka
  FalseNegative nam [11,13] = Mieszka III Starego
  FalseNegative nam [14,15] = Mieszka Młodszego

(ChunkerEvaluator) Sentence #161 from 00101236 from sent14

Text  : Co więcej Leszek wyznaczył prawdopodobnie Mieszka Młodszego w przypadku swojej bezpotomnej śmierci na następcę ._
Tokens: 1_ 2_____ 3_____ 4________ 5_____________ 6______ 7________ 8 9________ 10____ 11_________ 12_____ 13 14______ 15

Chunks:
  TruePositive nam [3,3] = Leszek (confidence=1.00)
  TruePositive nam [6,7] = Mieszka Młodszego (confidence=1.00)

(ChunkerEvaluator) Sentence #162 from 00101236 from sent15

Text  : Do scedowania Mazowsza i Kujaw na rzecz linii wielkopolskiej Piastów ostatecznie jednak nie doszło ,_ gdyż jak dowiadujemy się z_ kroniki Wincentego Kadłubka ,_ Mieszko zachowywał się w_ dzielnicy krewniaka w_ sposób ,_ jakby to on był udzielnym księciem ,_ co zraziło ostatecznie Leszka do potomstwa Mieszka Starego ._
Tokens: 1_ 2_________ 3_______ 4 5____ 6_ 7____ 8____ 9_____________ 10_____ 11_________ 12____ 13_ 14____ 15 16__ 17_ 18_________ 19_ 20 21_____ 22________ 23______ 24 25_____ 26________ 27_ 28 29_______ 30_______ 31 32____ 33 34___ 35 36 37_ 38_______ 39______ 40 41 42_____ 43_________ 44____ 45 46_______ 47_____ 48_____ 49

Chunks:
  TruePositive nam [3,3] = Mazowsza (confidence=1.00)
  TruePositive nam [5,5] = Kujaw (confidence=0.96)
  TruePositive nam [10,10] = Piastów (confidence=0.98)
  TruePositive nam [22,23] = Wincentego Kadłubka (confidence=1.00)
  TruePositive nam [25,25] = Mieszko (confidence=1.00)
  TruePositive nam [44,44] = Leszka (confidence=1.00)
  TruePositive nam [47,48] = Mieszka Starego (confidence=1.00)

2017-06-14 20:35:33,785 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 12 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101265.xml
(ChunkerEvaluator) Sentence #163 from 00101265 from sent1

Text  : Theo Snelders
Tokens: 1___ 2_______

Chunks:
  TruePositive nam [1,2] = Theo Snelders (confidence=1.00)

(ChunkerEvaluator) Sentence #164 from 00101265 from sent2

Text  : Theodorus " Theo " Antonius Gerardus Snelders ( ur ._ 7_ grudnia 1963 w_ Westervoort )_ –_ holenderski piłkarz ,_ grający na pozycji bramkarza ._
Tokens: 1________ 2 3___ 4 5_______ 6_______ 7_______ 8 9_ 10 11 12_____ 13__ 14 15_________ 16 17 18_________ 19_____ 20 21_____ 22 23_____ 24_______ 25

Chunks:
  TruePositive nam [1,7] = Theodorus " Theo " Antonius Gerardus Snelders (confidence=0.71)
  TruePositive nam [15,15] = Westervoort (confidence=0.91)

(ChunkerEvaluator) Sentence #165 from 00101265 from sent3

Text  : Snelders zaczynał piłkarską karierę w klubie z rodzinnej miejscowości o_ nazwie SC Westervoort ._
Tokens: 1_______ 2_______ 3________ 4______ 5 6_____ 7 8________ 9___________ 10 11____ 12 13_________ 14

Chunks:
  TruePositive nam [1,1] = Snelders (confidence=0.86)
  TruePositive nam [12,13] = SC Westervoort (confidence=1.00)

(ChunkerEvaluator) Sentence #166 from 00101265 from sent4

Text  : Pierwszym profesjonalnym klubem Sneldersa było Twente Enschede , w którym zadebiutował w_ Eredivisie w_ 1980 roku ._
Tokens: 1________ 2_____________ 3_____ 4________ 5___ 6_____ 7_______ 8 9 10____ 11__________ 12 13________ 14 15__ 16__ 17

Chunks:
  TruePositive nam [4,4] = Sneldersa (confidence=0.93)
  TruePositive nam [6,7] = Twente Enschede (confidence=0.90)
  TruePositive nam [13,13] = Eredivisie (confidence=0.89)

(ChunkerEvaluator) Sentence #167 from 00101265 from sent5

Text  : W Twente nie zawsze był pierwszej jedenastce .
Tokens: 1 2_____ 3__ 4_____ 5__ 6________ 7_________ 8

Chunks:
  TruePositive nam [2,2] = Twente (confidence=0.78)

(ChunkerEvaluator) Sentence #168 from 00101265 from sent6

Text  : Do 1988 roku Snelders rozegrał w bawach Twente 176 ligowych meczów ._
Tokens: 1_ 2___ 3___ 4_______ 5_______ 6 7_____ 8_____ 9__ 10______ 11____ 12

Chunks:
  TruePositive nam [4,4] = Snelders (confidence=0.90)
  TruePositive nam [8,8] = Twente (confidence=0.79)

(ChunkerEvaluator) Sentence #169 from 00101265 from sent7

Text  : Potem przeszedł do szkockiego Aberdeen FC .
Tokens: 1____ 2________ 3_ 4_________ 5_______ 6_ 7

Chunks:
  TruePositive nam [5,6] = Aberdeen FC (confidence=0.95)

(ChunkerEvaluator) Sentence #170 from 00101265 from sent8

Text  : I w pierwszym sezonie gry został uznany najlepszym bramkarzem ligi Scottish Premier League ._
Tokens: 1 2 3________ 4______ 5__ 6_____ 7_____ 8_________ 9_________ 10__ 11______ 12_____ 13____ 14

Chunks:
  TruePositive nam [11,13] = Scottish Premier League (confidence=0.97)

(ChunkerEvaluator) Sentence #171 from 00101265 from sent9

Text  : Do 1995 roku rozegrał 199 ligowych meczów .
Tokens: 1_ 2___ 3___ 4_______ 5__ 6_______ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #172 from 00101265 from sent10

Text  : Snelders był bohaterem konkursu rzutów karnych , kiedy to Aberdeen FC pokonało Glasgow Rangers w_ finale Pucharu Szkocji ._
Tokens: 1_______ 2__ 3________ 4_______ 5_____ 6______ 7 8____ 9_ 10______ 11 12______ 13_____ 14_____ 15 16____ 17_____ 18_____ 19

Chunks:
  TruePositive nam [10,11] = Aberdeen FC (confidence=0.94)
  TruePositive nam [13,14] = Glasgow Rangers (confidence=1.00)
  TruePositive nam [17,18] = Pucharu Szkocji (confidence=1.00)
  FalseNegative nam [1,1] = Snelders

(ChunkerEvaluator) Sentence #173 from 00101265 from sent11

Text  : W 1995 roku przeszedł właśnie do Rangersów , jednak tam rozegrał jedynie 13 meczów przez 4_ sezony ._
Tokens: 1 2___ 3___ 4________ 5______ 6_ 7________ 8 9_____ 10_ 11______ 12_____ 13 14____ 15___ 16 17____ 18

Chunks:
  TruePositive nam [7,7] = Rangersów (confidence=0.97)

(ChunkerEvaluator) Sentence #174 from 00101265 from sent12

Text  : Ostatecznie w 1999 roku odszedł do MVV Maastricht , a_ w_ 2001 roku zakończył piłkarską karierę ._
Tokens: 1__________ 2 3___ 4___ 5______ 6_ 7__ 8_________ 9 10 11 12__ 13__ 14_______ 15_______ 16_____ 17

Chunks:
  TruePositive nam [7,8] = MVV Maastricht (confidence=1.00)

(ChunkerEvaluator) Sentence #175 from 00101265 from sent13

Text  : Obecnie Snelders jest trenerem bramkarzy w Twente Enschede .
Tokens: 1______ 2_______ 3___ 4_______ 5________ 6 7_____ 8_______ 9

Chunks:
  TruePositive nam [2,2] = Snelders (confidence=0.89)
  TruePositive nam [7,8] = Twente Enschede (confidence=1.00)

(ChunkerEvaluator) Sentence #176 from 00101265 from sent14

Text  : W reprezentacji Holandii jedyny mecz Snelders zagrał 22 marca 1989 roku w_ wygranym 2_ -_ 0_ meczu z_ ZSRR ._
Tokens: 1 2____________ 3_______ 4_____ 5___ 6_______ 7_____ 8_ 9____ 10__ 11__ 12 13______ 14 15 16 17___ 18 19__ 20

Chunks:
  TruePositive nam [3,3] = Holandii (confidence=1.00)
  TruePositive nam [6,6] = Snelders (confidence=0.99)
  TruePositive nam [19,19] = ZSRR (confidence=1.00)

(ChunkerEvaluator) Sentence #177 from 00101265 from sent15

Text  : Potem na MŚ w 1994 był tylko trzecim bramkarzem ._
Tokens: 1____ 2_ 3_ 4 5___ 6__ 7____ 8______ 9_________ 10

Chunks:
  TruePositive nam [3,3] = MŚ (confidence=0.92)

2017-06-14 20:35:33,838 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 13 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101279.xml
(ChunkerEvaluator) Sentence #178 from 00101279 from sent1

Text  : Alcácer do Sal
Tokens: 1______ 2_ 3__

Chunks:
  FalsePositive nam [3,3] = Sal (confidence=0.89) (incorrect boundry)
  FalseNegative nam [1,3] = Alcácer do Sal

(ChunkerEvaluator) Sentence #179 from 00101279 from sent2

Text  : Alcácer do Sal to miejscowość w Portugalii , leżąca w_ dystrykcie Setúbal ,_ w_ regionie Alentejo w_ podregionie Alentejo Litoral ._
Tokens: 1______ 2_ 3__ 4_ 5__________ 6 7_________ 8 9_____ 10 11________ 12_____ 13 14 15______ 16______ 17 18_________ 19______ 20_____ 21

Chunks:
  TruePositive nam [7,7] = Portugalii (confidence=1.00)
  TruePositive nam [12,12] = Setúbal (confidence=1.00)
  TruePositive nam [16,16] = Alentejo (confidence=0.95)
  TruePositive nam [19,20] = Alentejo Litoral (confidence=0.98)
  FalsePositive nam [3,3] = Sal (confidence=1.00) (incorrect boundry)
  FalseNegative nam [1,3] = Alcácer do Sal

(ChunkerEvaluator) Sentence #180 from 00101279 from sent3

Text  : Miejscowość jest siedzibą gminy o tej samej nazwie .
Tokens: 1__________ 2___ 3_______ 4____ 5 6__ 7____ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #181 from 00101279 from sent4

Text  : Sołectwa gminy Alcácer do Sal :
Tokens: 1_______ 2____ 3______ 4_ 5__ 6

Chunks:
  TruePositive nam [3,5] = Alcácer do Sal (confidence=0.99)

(ChunkerEvaluator) Sentence #182 from 00101279 from sent5

Text  : Comporta
Tokens: 1_______

Chunks:
  TruePositive nam [1,1] = Comporta (confidence=0.80)

(ChunkerEvaluator) Sentence #183 from 00101279 from sent6

Text  : Santa Maria do Castelo
Tokens: 1____ 2____ 3_ 4______

Chunks:
  FalsePositive nam [1,2] = Santa Maria (confidence=0.84) (incorrect boundry)
  FalsePositive nam [4,4] = Castelo (confidence=0.56) (incorrect boundry)
  FalseNegative nam [1,4] = Santa Maria do Castelo

(ChunkerEvaluator) Sentence #184 from 00101279 from sent7

Text  : Santa Susana
Tokens: 1____ 2_____

Chunks:
  FalsePositive nam [2,2] = Susana (confidence=0.93) (incorrect boundry)
  FalseNegative nam [1,2] = Santa Susana

(ChunkerEvaluator) Sentence #185 from 00101279 from sent8

Text  : Santiago
Tokens: 1_______

Chunks:
  TruePositive nam [1,1] = Santiago (confidence=0.99)

(ChunkerEvaluator) Sentence #186 from 00101279 from sent9

Text  : São Martinho
Tokens: 1__ 2_______

Chunks:
  TruePositive nam [1,2] = São Martinho (confidence=0.75)

(ChunkerEvaluator) Sentence #187 from 00101279 from sent10

Text  : Torrão
Tokens: 1_____

Chunks:
  TruePositive nam [1,1] = Torrão (confidence=0.77)

2017-06-14 20:35:33,852 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 14 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101280.xml
(ChunkerEvaluator) Sentence #188 from 00101280 from sent1

Text  : Nawłoć kanadyjska
Tokens: 1_____ 2_________

Chunks:

(ChunkerEvaluator) Sentence #189 from 00101280 from sent2

Text  : Nawłoć kanadyjska ( Solidago canadensis L . ) – gatunek rośliny wieloletniej ,_ należący do rodziny astrowatych ._
Tokens: 1_____ 2_________ 3 4_______ 5_________ 6 7 8 9 10_____ 11_____ 12__________ 13 14______ 15 16_____ 17_________ 18

Chunks:
  FalsePositive nam [6,7] = L . (confidence=0.87) (incorrect boundry)

(ChunkerEvaluator) Sentence #190 from 00101280 from sent3

Text  : Nazwa ludowa : " Drzewko Matki Boskiej " .
Tokens: 1____ 2_____ 3 4 5______ 6____ 7______ 8 9

Chunks:
  FalsePositive nam [5,7] = Drzewko Matki Boskiej (confidence=0.96) (incorrect boundry)
  FalseNegative nam [6,7] = Matki Boskiej

(ChunkerEvaluator) Sentence #191 from 00101280 from sent4

Text  : Pochodzi z wschodniej części Ameryki Północnej .
Tokens: 1_______ 2 3_________ 4_____ 5______ 6________ 7

Chunks:
  TruePositive nam [5,6] = Ameryki Północnej (confidence=1.00)

(ChunkerEvaluator) Sentence #192 from 00101280 from sent5

Text  : Jako uciekinier z upraw rozprzestrzenił się w Europie .
Tokens: 1___ 2_________ 3 4____ 5______________ 6__ 7 8______ 9

Chunks:
  TruePositive nam [8,8] = Europie (confidence=1.00)

(ChunkerEvaluator) Sentence #193 from 00101280 from sent6

Text  : W Polsce rośnie na większości terytorium na siedliskach naturalnych i_ synantropijnych ._
Tokens: 1 2_____ 3_____ 4_ 5_________ 6_________ 7_ 8__________ 9__________ 10 11_____________ 12

Chunks:
  TruePositive nam [2,2] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #194 from 00101280 from sent7

Text  : Status gatunku w polskiej florze : kenofit , agriofit ._
Tokens: 1_____ 2______ 3 4_______ 5_____ 6 7______ 8 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #195 from 00101280 from sent8

Text  : Prawdopodobnie rozprzestrzeniła się z uprawy roślin ozdobnych , doskonale aklimatyzuje się i_ zaczyna nawet wypierać gatunki rodzime ._
Tokens: 1_____________ 2_______________ 3__ 4 5_____ 6_____ 7________ 8 9________ 10__________ 11_ 12 13_____ 14___ 15______ 16_____ 17_____ 18

Chunks:

(ChunkerEvaluator) Sentence #196 from 00101280 from sent9

Text  : Specjaliści uważają , że z tego powodu powinna być zwalczana ._
Tokens: 1__________ 2______ 3 4_ 5 6___ 7_____ 8______ 9__ 10_______ 11

Chunks:

(ChunkerEvaluator) Sentence #197 from 00101280 from sent10

Text  : Morfologia
Tokens: 1_________

Chunks:

(ChunkerEvaluator) Sentence #198 from 00101280 from sent11

Text  : ; Łodyga : Wysokość do 1 , 5 m ,_ wzniesiona ,_ sztywna ,_ pojedyncza ,_ naga lub rzadko owłosiona ,_ cienka ._
Tokens: 1 2_____ 3 4_______ 5_ 6 7 8 9 10 11________ 12 13_____ 14 15________ 16 17__ 18_ 19____ 20_______ 21 22____ 23

Chunks:
  FalsePositive nam [2,2] = Łodyga (confidence=0.69) (incorrect boundry)

(ChunkerEvaluator) Sentence #199 from 00101280 from sent12

Text  : Wewnątrz jest pusta .
Tokens: 1_______ 2___ 3____ 4

Chunks:

(ChunkerEvaluator) Sentence #200 from 00101280 from sent13

Text  : ; Liście : Podługowatolancetowate albo lancetowate , o zaostrzonych końcach ,_ brzegi ostro piłkowane ._
Tokens: 1 2_____ 3 4_____________________ 5___ 6__________ 7 8 9___________ 10_____ 11 12____ 13___ 14_______ 15

Chunks:

(ChunkerEvaluator) Sentence #201 from 00101280 from sent14

Text  : Po liściach najłatwiej odróżnić ją od podobnego gatunku – nawłoci pospolitej ._
Tokens: 1_ 2_______ 3_________ 4_______ 5_ 6_ 7________ 8______ 9 10_____ 11________ 12

Chunks:

(ChunkerEvaluator) Sentence #202 from 00101280 from sent15

Text  : Wszystkie liście z rzadka owłosione , zmniejszające się ku wierzchołkowi łodygi ._
Tokens: 1________ 2_____ 3 4_____ 5________ 6 7____________ 8__ 9_ 10___________ 11____ 12

Chunks:

(ChunkerEvaluator) Sentence #203 from 00101280 from sent16

Text  : ; Kwiaty : Drobne , żółte , zebrane w koszyczki (_ od 5_ do 14 kwiatków w_ jednym koszyczku )_ ,_ a_ te w_ wiechowate kwiatostany na szczycie łodygi ._
Tokens: 1 2_____ 3 4_____ 5 6____ 7 8______ 9 10_______ 11 12 13 14 15 16______ 17 18____ 19_______ 20 21 22 23 24 25________ 26_________ 27 28______ 29____ 30

Chunks:

(ChunkerEvaluator) Sentence #204 from 00101280 from sent17

Text  : Listki okrywy kwiatostanu stępione , bardzo nierówne , lancetowatego kształtu ._
Tokens: 1_____ 2_____ 3__________ 4_______ 5 6_____ 7_______ 8 9____________ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #205 from 00101280 from sent18

Text  : ; Owoc : Niełupki z puchem kielichowym .
Tokens: 1 2___ 3 4_______ 5 6_____ 7__________ 8

Chunks:

(ChunkerEvaluator) Sentence #206 from 00101280 from sent19

Text  : ; Kłącze : Silnie rozgałęzione .
Tokens: 1 2_____ 3 4_____ 5___________ 6

Chunks:

(ChunkerEvaluator) Sentence #207 from 00101280 from sent20

Text  : Biologia i ekologia
Tokens: 1_______ 2 3_______

Chunks:

(ChunkerEvaluator) Sentence #208 from 00101280 from sent21

Text  : Siedlisko : aluwia nadrzeczne , rowy melioracyjne , mokre łąki ._
Tokens: 1________ 2 3_____ 4_________ 5 6___ 7___________ 8 9____ 10__ 11

Chunks:

(ChunkerEvaluator) Sentence #209 from 00101280 from sent22

Text  : W klasyfikacji zbiorowisk roślinnych gatunek charakterystyczny dla zespołu Ass ._
Tokens: 1 2___________ 3_________ 4_________ 5______ 6________________ 7__ 8______ 9__ 10

Chunks:
  FalsePositive nam [9,9] = Ass (confidence=0.97) (incorrect boundry)

(ChunkerEvaluator) Sentence #210 from 00101280 from sent23

Text  : Rudbeckio - Solidaginetium .
Tokens: 1________ 2 3_____________ 4

Chunks:
  FalsePositive nam [1,3] = Rudbeckio - Solidaginetium (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #211 from 00101280 from sent24

Text  : Kwiaty przedprątne , zapylane przez motyle i błonkówki .
Tokens: 1_____ 2__________ 3 4_______ 5____ 6_____ 7 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #212 from 00101280 from sent25

Text  : Roślina miododajna .
Tokens: 1______ 2_________ 3

Chunks:

(ChunkerEvaluator) Sentence #213 from 00101280 from sent26

Text  : Kwitnie od lipca do sierpnia .
Tokens: 1______ 2_ 3____ 4_ 5_______ 6

Chunks:

(ChunkerEvaluator) Sentence #214 from 00101280 from sent27

Text  : Nasiona rozsiewane przez wiatr .
Tokens: 1______ 2_________ 3____ 4____ 5

Chunks:

(ChunkerEvaluator) Sentence #215 from 00101280 from sent28

Text  : Roślina trująca : Podobnie jak nawłoć pospolita jest rośliną szkodliwą dla bydła domowego ._
Tokens: 1______ 2______ 3 4_______ 5__ 6_____ 7________ 8___ 9______ 10_______ 11_ 12___ 13______ 14

Chunks:

(ChunkerEvaluator) Sentence #216 from 00101280 from sent29

Text  : Stosowana w odpowiednich dawkach posiada też podobne właściwości lecznicze ._
Tokens: 1________ 2 3___________ 4______ 5______ 6__ 7______ 8__________ 9________ 10

Chunks:

(ChunkerEvaluator) Sentence #217 from 00101280 from sent30

Text  : Zastosowanie
Tokens: 1___________

Chunks:

(ChunkerEvaluator) Sentence #218 from 00101280 from sent31

Text  : Jest uprawiana jako roślina ozdobna .
Tokens: 1___ 2________ 3___ 4______ 5______ 6

Chunks:

(ChunkerEvaluator) Sentence #219 from 00101280 from sent32

Text  : Ciekawostki
Tokens: 1__________

Chunks:

(ChunkerEvaluator) Sentence #220 from 00101280 from sent33

Text  : Indianie Odżibwejowie robili lewatywy z korzeni nawłoci .
Tokens: 1_______ 2___________ 3_____ 4_______ 5 6______ 7______ 8

Chunks:
  FalsePositive nam [2,2] = Odżibwejowie (confidence=0.68) (incorrect boundry)
  FalseNegative nam [1,2] = Indianie Odżibwejowie

(ChunkerEvaluator) Sentence #221 from 00101280 from sent34

Text  : Z ziela i korzeni sporządzali wyciągi , które używali wewnętrznie jako środki pobudzające i_ wzmacniające ._
Tokens: 1 2____ 3 4______ 5__________ 6______ 7 8____ 9______ 10_________ 11__ 12____ 13_________ 14 15__________ 16

Chunks:

(ChunkerEvaluator) Sentence #222 from 00101280 from sent35

Text  : Indianie Alabama używali herbatki z nawłoci do leczenia przeziębień ,_ zaś zewnętrznie do leczenia obolałych miejsc ._
Tokens: 1_______ 2______ 3______ 4_______ 5 6______ 7_ 8_______ 9__________ 10 11_ 12_________ 13 14______ 15_______ 16____ 17

Chunks:
  FalsePositive nam [2,2] = Alabama (confidence=0.91) (incorrect boundry)
  FalseNegative nam [1,2] = Indianie Alabama

2017-06-14 20:35:33,936 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 15 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101287.xml
(ChunkerEvaluator) Sentence #223 from 00101287 from sent1

Text  : Bruno Mossa Rezende
Tokens: 1____ 2____ 3______

Chunks:
  TruePositive nam [1,3] = Bruno Mossa Rezende (confidence=1.00)

(ChunkerEvaluator) Sentence #224 from 00101287 from sent2

Text  : Bruno Mossa Rezende ( ur . 2 lipca 1986 roku w_ Rio de Janeiro )_ –_ brazylijski siatkarz ,_ reprezentant kraju ._
Tokens: 1____ 2____ 3______ 4 5_ 6 7 8____ 9___ 10__ 11 12_ 13 14_____ 15 16 17_________ 18______ 19 20__________ 21___ 22

Chunks:
  TruePositive nam [1,3] = Bruno Mossa Rezende (confidence=1.00)
  TruePositive nam [12,14] = Rio de Janeiro (confidence=1.00)

(ChunkerEvaluator) Sentence #225 from 00101287 from sent3

Text  : Obecnie występuje w Brazylijskiej Superlidze , w drużynie Cimed Florianópolis ._
Tokens: 1______ 2________ 3 4____________ 5_________ 6 7 8_______ 9____ 10___________ 11

Chunks:
  TruePositive nam [4,5] = Brazylijskiej Superlidze (confidence=1.00)
  TruePositive nam [9,10] = Cimed Florianópolis (confidence=0.98)

(ChunkerEvaluator) Sentence #226 from 00101287 from sent4

Text  : Gra na pozycji rozgrywającego .
Tokens: 1__ 2_ 3______ 4_____________ 5

Chunks:

(ChunkerEvaluator) Sentence #227 from 00101287 from sent5

Text  : Jest synem trenera Bernardo Rezende .
Tokens: 1___ 2____ 3______ 4_______ 5______ 6

Chunks:
  TruePositive nam [4,5] = Bernardo Rezende (confidence=1.00)

(ChunkerEvaluator) Sentence #228 from 00101287 from sent6

Text  : W 2008 roku w Pekinie zdobył srebrny medal olimpijski ._
Tokens: 1 2___ 3___ 4 5______ 6_____ 7______ 8____ 9_________ 10

Chunks:
  TruePositive nam [5,5] = Pekinie (confidence=1.00)

2017-06-14 20:35:33,952 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 16 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101305.xml
(ChunkerEvaluator) Sentence #229 from 00101305 from sent1

Text  : Pieprz czerwony
Tokens: 1_____ 2_______

Chunks:

(ChunkerEvaluator) Sentence #230 from 00101305 from sent2

Text  : Pieprz czerwony - łagodniejszy w smaku i bardziej aromatyczny od pieprzu czarnego ._
Tokens: 1_____ 2_______ 3 4___________ 5 6____ 7 8_______ 9__________ 10 11_____ 12______ 13

Chunks:

(ChunkerEvaluator) Sentence #231 from 00101305 from sent3

Text  : Czerwone jagody pieprzu są mniej dojrzałe od czarnych , ale bardziej od zielonych ._
Tokens: 1_______ 2_____ 3______ 4_ 5____ 6_______ 7_ 8_______ 9 10_ 11______ 12 13_______ 14

Chunks:

(ChunkerEvaluator) Sentence #232 from 00101305 from sent4

Text  : Poza kolorem , pieprz czerwony nie ma nic wspólnego z_ pieprzem kajeńskim (_ cayenne )_ !_
Tokens: 1___ 2______ 3 4_____ 5_______ 6__ 7_ 8__ 9________ 10 11______ 12_______ 13 14_____ 15 16

Chunks:

2017-06-14 20:35:33,965 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 17 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101356.xml
(ChunkerEvaluator) Sentence #233 from 00101356 from sent1

Text  : Pałac Augusta Haertiga
Tokens: 1____ 2______ 3_______

Chunks:
  FalsePositive nam [2,3] = Augusta Haertiga (confidence=0.99) (incorrect boundry)
  FalseNegative nam [1,3] = Pałac Augusta Haertiga

(ChunkerEvaluator) Sentence #234 from 00101356 from sent2

Text  : Pałac Augusta Haertiga przy Piotrkowskiej 236 w Łodzi
Tokens: 1____ 2______ 3_______ 4___ 5____________ 6__ 7 8____

Chunks:
  TruePositive nam [8,8] = Łodzi (confidence=0.97)
  FalsePositive nam [2,3] = Augusta Haertiga (confidence=1.00) (incorrect boundry)
  FalsePositive nam [5,6] = Piotrkowskiej 236 (confidence=0.99) (incorrect boundry)
  FalseNegative nam [1,3] = Pałac Augusta Haertiga
  FalseNegative nam [5,5] = Piotrkowskiej

(ChunkerEvaluator) Sentence #235 from 00101356 from sent3

Text  : Pałac zbudowany dla łódzkiego fabrykanta Augusta Haertiga ( Härtiga )_ w_ latach 1895 -_ 1896 według projektu Franciszka Chełmińskiego ._
Tokens: 1____ 2________ 3__ 4________ 5_________ 6______ 7_______ 8 9______ 10 11 12____ 13__ 14 15__ 16____ 17______ 18________ 19___________ 20

Chunks:
  TruePositive nam [6,7] = Augusta Haertiga (confidence=1.00)
  TruePositive nam [9,9] = Härtiga (confidence=0.99)
  TruePositive nam [18,19] = Franciszka Chełmińskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #236 from 00101356 from sent4

Text  : Po wojnie przez długie lata mieściła się tam siedziba łódzkiego PCK ._
Tokens: 1_ 2_____ 3____ 4_____ 5___ 6_______ 7__ 8__ 9_______ 10_______ 11_ 12

Chunks:
  TruePositive nam [11,11] = PCK (confidence=0.97)

(ChunkerEvaluator) Sentence #237 from 00101356 from sent5

Text  : Na początku XXI wieku pałac wraz z przyległym placem zostały zakupione przez Towarzystwo Ubezpieczeń i_ Reasekuracji Warta ._
Tokens: 1_ 2_______ 3__ 4____ 5____ 6___ 7 8_________ 9_____ 10_____ 11_______ 12___ 13_________ 14_________ 15 16__________ 17___ 18

Chunks:
  FalsePositive nam [13,14] = Towarzystwo Ubezpieczeń (confidence=1.00) (incorrect boundry)
  FalsePositive nam [16,17] = Reasekuracji Warta (confidence=0.94) (incorrect boundry)
  FalseNegative nam [13,17] = Towarzystwo Ubezpieczeń i Reasekuracji Warta

(ChunkerEvaluator) Sentence #238 from 00101356 from sent6

Text  : Pałac odrestaurowano , a obok wzniesiono nowoczesny gmach .
Tokens: 1____ 2_____________ 3 4 5___ 6_________ 7_________ 8____ 9

Chunks:

(ChunkerEvaluator) Sentence #239 from 00101356 from sent7

Text  : W 2005 roku po zakończeniu remontu , pałac otrzymał nagrodę w_ konkursie "_ Zabytek zadbany "_ organizowanym przez Krajowy Ośrodek Badań i_ Dokumentacji Zabytków ._
Tokens: 1 2___ 3___ 4_ 5__________ 6______ 7 8____ 9_______ 10_____ 11 12_______ 13 14_____ 15_____ 16 17___________ 18___ 19_____ 20_____ 21___ 22 23__________ 24______ 25

Chunks:
  TruePositive nam [14,15] = Zabytek zadbany (confidence=0.76)
  FalsePositive nam [19,21] = Krajowy Ośrodek Badań (confidence=1.00) (incorrect boundry)
  FalsePositive nam [23,24] = Dokumentacji Zabytków (confidence=0.97) (incorrect boundry)
  FalseNegative nam [19,24] = Krajowy Ośrodek Badań i Dokumentacji Zabytków

(ChunkerEvaluator) Sentence #240 from 00101356 from sent8

Text  : Nagrodę odebrał nowy właściciel .
Tokens: 1______ 2______ 3___ 4_________ 5

Chunks:

(ChunkerEvaluator) Sentence #241 from 00101356 from sent9

Text  : Także Fundacja Ulicy Piotrkowskiej doceniła wysiłek konserwatorów , nadając w_ konkursie "_ Najlepsze Wnętrze Roku 2005 "_ nagrodę w_ kategorii "_ Rekonstrukcji historycznej "_ ._
Tokens: 1____ 2_______ 3____ 4____________ 5_______ 6______ 7____________ 8 9______ 10 11_______ 12 13_______ 14_____ 15__ 16__ 17 18_____ 19 20_______ 21 22___________ 23__________ 24 25

Chunks:
  TruePositive nam [2,4] = Fundacja Ulicy Piotrkowskiej (confidence=1.00)
  FalsePositive nam [13,15] = Najlepsze Wnętrze Roku (confidence=0.98) (incorrect boundry)
  FalsePositive nam [22,23] = Rekonstrukcji historycznej (confidence=0.83) (incorrect boundry)
  FalseNegative nam [13,16] = Najlepsze Wnętrze Roku 2005

(ChunkerEvaluator) Sentence #242 from 00101356 from sent10

Text  : Prace konserwatorskie trwały półtora roku .
Tokens: 1____ 2______________ 3_____ 4______ 5___ 6

Chunks:

(ChunkerEvaluator) Sentence #243 from 00101356 from sent11

Text  : Odnowiono wszystko , od sufitów po podłogi : boazerie ,_ cenne polichromie ,_ kute kraty ,_ kaflowe piece ._
Tokens: 1________ 2_______ 3 4_ 5______ 6_ 7______ 8 9_______ 10 11___ 12_________ 13 14__ 15___ 16 17_____ 18___ 19

Chunks:

2017-06-14 20:35:34,005 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 18 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101389.xml
(ChunkerEvaluator) Sentence #244 from 00101389 from sent1

Text  : Miroszewo
Tokens: 1________

Chunks:
  TruePositive nam [1,1] = Miroszewo (confidence=0.80)

(ChunkerEvaluator) Sentence #245 from 00101389 from sent2

Text  : Miroszewo ( kaszb . Miròszewò ) – mała wieś kaszubska w_ Polsce położona w_ województwie pomorskim ,_ w_ powiecie człuchowskim ,_ w_ gminie Przechlewo ._
Tokens: 1________ 2 3____ 4 5________ 6 7 8___ 9___ 10_______ 11 12____ 13______ 14 15__________ 16_______ 17 18 19______ 20__________ 21 22 23____ 24________ 25

Chunks:
  TruePositive nam [1,1] = Miroszewo (confidence=0.86)
  TruePositive nam [5,5] = Miròszewò (confidence=0.96)
  TruePositive nam [12,12] = Polsce (confidence=1.00)
  TruePositive nam [16,16] = pomorskim (confidence=1.00)
  TruePositive nam [20,20] = człuchowskim (confidence=0.99)
  TruePositive nam [24,24] = Przechlewo (confidence=0.99)

(ChunkerEvaluator) Sentence #246 from 00101389 from sent3

Text  : Wieś jest częścią składową sołectwa Nowa Wieś Człuchowska .
Tokens: 1___ 2___ 3______ 4_______ 5_______ 6___ 7___ 8__________ 9

Chunks:
  TruePositive nam [6,8] = Nowa Wieś Człuchowska (confidence=1.00)

(ChunkerEvaluator) Sentence #247 from 00101389 from sent4

Text  : W latach 1975 - 1998 miejscowość położona była w województwie słupskim ._
Tokens: 1 2_____ 3___ 4 5___ 6__________ 7_______ 8___ 9 10__________ 11______ 12

Chunks:
  TruePositive nam [11,11] = słupskim (confidence=0.95)

2017-06-14 20:35:34,018 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 19 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101390.xml
(ChunkerEvaluator) Sentence #248 from 00101390 from sent1

Text  : Skrętek
Tokens: 1______

Chunks:

(ChunkerEvaluator) Sentence #249 from 00101390 from sent2

Text  : Skrętek ( a . skrętka , ang . helicoid cyme ,_ scorpioid ,_ łac ._ bostryx )_ –_ rodzaj kwiatostanu z_ grupy wierzchotek jednoramiennych ._
Tokens: 1______ 2 3 4 5______ 6 7__ 8 9_______ 10__ 11 12_______ 13 14_ 15 16_____ 17 18 19____ 20_________ 21 22___ 23_________ 24_____________ 25

Chunks:
  FalsePositive nam [1,1] = Skrętek (confidence=0.73) (incorrect boundry)

(ChunkerEvaluator) Sentence #250 from 00101390 from sent3

Text  : Ma kwiat na szczycie pędu .
Tokens: 1_ 2____ 3_ 4_______ 5___ 6

Chunks:

(ChunkerEvaluator) Sentence #251 from 00101390 from sent4

Text  : Gdy kwiat ten zaczyna się rozwijać , z kąta liścia wyrasta odgałęzienie drugiego rzędu ,_ które znowu kończy się kwiatem ._
Tokens: 1__ 2____ 3__ 4______ 5__ 6_______ 7 8 9___ 10____ 11_____ 12__________ 13______ 14___ 15 16___ 17___ 18____ 19_ 20_____ 21

Chunks:

(ChunkerEvaluator) Sentence #252 from 00101390 from sent5

Text  : Kolejne odgałęzienia wyrastają zawsze po tej samej stronie .
Tokens: 1______ 2___________ 3________ 4_____ 5_ 6__ 7____ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #253 from 00101390 from sent6

Text  : Skrętek jest bardzo podobny do sierpika , z tą różnicą ,_ że widziany z_ góry jest zygzakowaty ,_ podczas ,_ gdy sierpik widziany z_ góry ma kwiaty ułożone w_ prostej linii ._
Tokens: 1______ 2___ 3_____ 4______ 5_ 6_______ 7 8 9_ 10_____ 11 12 13______ 14 15__ 16__ 17_________ 18 19_____ 20 21_ 22_____ 23______ 24 25__ 26 27____ 28_____ 29 30_____ 31___ 32

Chunks:

(ChunkerEvaluator) Sentence #254 from 00101390 from sent7

Text  : Sierpiki występują np . w rodzinie ogórecznikowatych .
Tokens: 1_______ 2________ 3_ 4 5 6_______ 7________________ 8

Chunks:

(ChunkerEvaluator) Sentence #255 from 00101390 from sent8

Text  : Kwiaty w skrętku zaczynają kwitnąć od kwiatu znajdującego się na głównej osi ,_ stopniowo w_ kierunku pojawiających się osi drugiego ,_ trzeciego i_ następnych rzędów ._
Tokens: 1_____ 2 3______ 4________ 5______ 6_ 7_____ 8___________ 9__ 10 11_____ 12_ 13 14_______ 15 16______ 17___________ 18_ 19_ 20______ 21 22_______ 23 24________ 25____ 26

Chunks:

(ChunkerEvaluator) Sentence #256 from 00101390 from sent9

Text  : Listki , z kątów których wyrastają te osie noszą nazwę podsadek ._
Tokens: 1_____ 2 3 4____ 5______ 6________ 7_ 8___ 9____ 10___ 11______ 12

Chunks:

2017-06-14 20:35:34,055 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 20 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101405.xml
(ChunkerEvaluator) Sentence #257 from 00101405 from sent1

Text  : Osiedle XXV - lecia PRL ( Tarnów )
Tokens: 1______ 2__ 3 4____ 5__ 6 7_____ 8

Chunks:
  TruePositive nam [1,5] = Osiedle XXV - lecia PRL (confidence=1.00)
  TruePositive nam [7,7] = Tarnów (confidence=0.95)

(ChunkerEvaluator) Sentence #258 from 00101405 from sent2

Text  : Osiedle XXV - lecia PRL - osiedle mieszkaniowe położone we wschodniej części Tarnowa pomiędzy ul ._ Lwowską i_ ul ._ Słoneczną ._
Tokens: 1______ 2__ 3 4____ 5__ 6 7______ 8___________ 9_______ 10 11________ 12____ 13_____ 14______ 15 16 17_____ 18 19 20 21_______ 22

Chunks:
  TruePositive nam [1,5] = Osiedle XXV - lecia PRL (confidence=1.00)
  TruePositive nam [13,13] = Tarnowa (confidence=1.00)
  TruePositive nam [17,17] = Lwowską (confidence=0.97)
  TruePositive nam [21,21] = Słoneczną (confidence=0.97)

(ChunkerEvaluator) Sentence #259 from 00101405 from sent3

Text  : Na osiedlu dominuje zabudowa wielorodzinna ( bloki ) .
Tokens: 1_ 2______ 3_______ 4_______ 5____________ 6 7____ 8 9

Chunks:

(ChunkerEvaluator) Sentence #260 from 00101405 from sent4

Text  : Znajduje się tutaj Szkoła Podstawowa nr 5 , Miejska Przychodnia Lekarska nr 4_ oraz pawilony handlowo -_ usługowe ._
Tokens: 1_______ 2__ 3____ 4_____ 5_________ 6_ 7 8 9______ 10_________ 11______ 12 13 14__ 15______ 16______ 17 18______ 19

Chunks:
  TruePositive nam [4,7] = Szkoła Podstawowa nr 5 (confidence=1.00)
  TruePositive nam [9,13] = Miejska Przychodnia Lekarska nr 4 (confidence=1.00)

2017-06-14 20:35:34,070 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 21 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101438.xml
(ChunkerEvaluator) Sentence #261 from 00101438 from sent1

Text  : Mistrzostwa Świata w Piłce Ręcznej Mężczyzn 1978
Tokens: 1__________ 2_____ 3 4____ 5______ 6_______ 7___

Chunks:
  FalsePositive nam [1,6] = Mistrzostwa Świata w Piłce Ręcznej Mężczyzn (confidence=0.82) (incorrect boundry)
  FalseNegative nam [1,7] = Mistrzostwa Świata w Piłce Ręcznej Mężczyzn 1978

(ChunkerEvaluator) Sentence #262 from 00101438 from sent2

Text  : Mistrzostwa świata w piłce ręcznej mężczyzn 1978 odbyły się w_ dniach 26 stycznia -_ 5_ lutego 1978 roku w_ Danii ._
Tokens: 1__________ 2_____ 3 4____ 5______ 6_______ 7___ 8_____ 9__ 10 11____ 12 13______ 14 15 16____ 17__ 18__ 19 20___ 21

Chunks:
  TruePositive nam [20,20] = Danii (confidence=1.00)
  FalseNegative nam [1,7] = Mistrzostwa świata w piłce ręcznej mężczyzn 1978

(ChunkerEvaluator) Sentence #263 from 00101438 from sent3

Text  : Uczestniczyło w nich 16 reprezentacji narodowych .
Tokens: 1____________ 2 3___ 4_ 5____________ 6_________ 7

Chunks:

(ChunkerEvaluator) Sentence #264 from 00101438 from sent4

Text  : Zwyciężyła Republika Federalna Niemiec ( RFN ) , drugie miejsce zajął Związek Socjalistycznych Republik Radzieckich (_ ZSRR )_ ,_ trzecie natomiast Niemiecka Republika Demokratyczna (_ NRD )_ ._
Tokens: 1_________ 2________ 3________ 4______ 5 6__ 7 8 9_____ 10_____ 11___ 12_____ 13______________ 14______ 15_________ 16 17__ 18 19 20_____ 21_______ 22_______ 23_______ 24___________ 25 26_ 27 28

Chunks:
  TruePositive nam [2,4] = Republika Federalna Niemiec (confidence=1.00)
  TruePositive nam [6,6] = RFN (confidence=0.97)
  TruePositive nam [12,15] = Związek Socjalistycznych Republik Radzieckich (confidence=1.00)
  TruePositive nam [17,17] = ZSRR (confidence=0.99)
  TruePositive nam [22,24] = Niemiecka Republika Demokratyczna (confidence=0.99)
  TruePositive nam [26,26] = NRD (confidence=0.99)

(ChunkerEvaluator) Sentence #265 from 00101438 from sent5

Text  : Przebieg turnieju
Tokens: 1_______ 2_______

Chunks:

(ChunkerEvaluator) Sentence #266 from 00101438 from sent6

Text  : Szesnaście zespołów zostało rozlosowanych pomiędzy cztery grupy ( po cztery reprezentacje do każdej )_ ._
Tokens: 1_________ 2_______ 3______ 4____________ 5_______ 6_____ 7____ 8 9_ 10____ 11___________ 12 13____ 14 15

Chunks:

(ChunkerEvaluator) Sentence #267 from 00101438 from sent7

Text  : Z każdej grupy awansują dwie najlepsze drużyny .
Tokens: 1 2_____ 3____ 4_______ 5___ 6________ 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #268 from 00101438 from sent8

Text  : Rozlosowano następujące grupy :
Tokens: 1__________ 2__________ 3____ 4

Chunks:

2017-06-14 20:35:34,095 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 22 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101456.xml
(ChunkerEvaluator) Sentence #269 from 00101456 from sent1

Text  : Antoni Gościański
Tokens: 1_____ 2_________

Chunks:
  TruePositive nam [1,2] = Antoni Gościański (confidence=1.00)

(ChunkerEvaluator) Sentence #270 from 00101456 from sent2

Text  : Antoni Gościański ( ur . 21 lutego 1926 w osadzie Kopanie ,_ pow ._ Gostyń ,_ (_ województwo wielkopolskie )_ ,_ zm ._ 25 marca 1998 w_ Warszawie )_ –_ polski bokser wagi ciężkiej ,_ olimpijczyk ._
Tokens: 1_____ 2_________ 3 4_ 5 6_ 7_____ 8___ 9 10_____ 11_____ 12 13_ 14 15____ 16 17 18_________ 19___________ 20 21 22 23 24 25___ 26__ 27 28_______ 29 30 31____ 32____ 33__ 34______ 35 36_________ 37

Chunks:
  TruePositive nam [1,2] = Antoni Gościański (confidence=1.00)
  TruePositive nam [11,11] = Kopanie (confidence=0.99)
  TruePositive nam [15,15] = Gostyń (confidence=0.69)
  TruePositive nam [19,19] = wielkopolskie (confidence=0.98)
  TruePositive nam [28,28] = Warszawie (confidence=1.00)

(ChunkerEvaluator) Sentence #271 from 00101456 from sent3

Text  : Wstępując w szeregi poborowych nie myślał o karierze sportowej ,_ a_ tym bardziej ringowej ._
Tokens: 1________ 2 3______ 4_________ 5__ 6_____ 7 8_______ 9________ 10 11 12_ 13______ 14______ 15

Chunks:

(ChunkerEvaluator) Sentence #272 from 00101456 from sent4

Text  : Młody żołnierz mierzący 176 cm wzrostu i ważący 90 kg ,_ wyróżniał się odwagą i_ nie bywałą siłą ,_ dla boksu został wypatrzony przez trenera Stanisława Zalewskiego ._
Tokens: 1____ 2_______ 3_______ 4__ 5_ 6______ 7 8_____ 9_ 10 11 12_______ 13_ 14____ 15 16_ 17____ 18__ 19 20_ 21___ 22____ 23________ 24___ 25_____ 26________ 27_________ 28

Chunks:
  TruePositive nam [26,27] = Stanisława Zalewskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #273 from 00101456 from sent5

Text  : Naukę boksu rozpoczął w klubie CWKS Warszawa pozostając w nim do końca kariery ._
Tokens: 1____ 2____ 3________ 4 5_____ 6___ 7_______ 8_________ 9 10_ 11 12___ 13_____ 14

Chunks:
  TruePositive nam [6,7] = CWKS Warszawa (confidence=0.98)

(ChunkerEvaluator) Sentence #274 from 00101456 from sent6

Text  : Uczestniczył w Igrzyskach Olimpijskich w Helsinkach 1952 roku , odpadając w_ eliminacjach ._
Tokens: 1___________ 2 3_________ 4___________ 5 6_________ 7___ 8___ 9 10_______ 11 12__________ 13

Chunks:
  TruePositive nam [3,4] = Igrzyskach Olimpijskich (confidence=1.00)
  TruePositive nam [6,6] = Helsinkach (confidence=1.00)

(ChunkerEvaluator) Sentence #275 from 00101456 from sent7

Text  : Startując w mistrzostwach Europy w Mediolanie 1951 roku , został wyeliminowany w_ ćwierćfinale ._
Tokens: 1________ 2 3____________ 4_____ 5 6_________ 7___ 8___ 9 10____ 11___________ 12 13__________ 14

Chunks:
  TruePositive nam [6,6] = Mediolanie (confidence=1.00)
  FalsePositive nam [4,4] = Europy (confidence=0.81) (incorrect boundry)
  FalseNegative nam [3,4] = mistrzostwach Europy

(ChunkerEvaluator) Sentence #276 from 00101456 from sent8

Text  : Czterokrotnie wywalczył tytuł mistrza Polski w 1951 , 1952 ,_ 1953 i_ 1954 roku ,_ był też brązowym medalistą mistrzostw w_ 1950 i_ 1955 ._
Tokens: 1____________ 2________ 3____ 4______ 5_____ 6 7___ 8 9___ 10 11__ 12 13__ 14__ 15 16_ 17_ 18______ 19_______ 20________ 21 22__ 23 24__ 25

Chunks:
  TruePositive nam [5,5] = Polski (confidence=1.00)

(ChunkerEvaluator) Sentence #277 from 00101456 from sent9

Text  : Uczestnicząc w drużynowych mistrzostwach Polski , sześciokrotnie wywalczył w latach 1952 ,_ 1953 ,_ 1954 ,_ 1955 ,_ 1956 i_ 1957 drużynowe mistrzostwo ._
Tokens: 1___________ 2 3__________ 4____________ 5_____ 6 7_____________ 8________ 9 10____ 11__ 12 13__ 14 15__ 16 17__ 18 19__ 20 21__ 22_______ 23_________ 24

Chunks:
  TruePositive nam [5,5] = Polski (confidence=1.00)

(ChunkerEvaluator) Sentence #278 from 00101456 from sent10

Text  : 12 razy wystąpił w reprezentacji Polski , odnosząc 6 zwycięstw ,_ 1_ remis i_ 5_ porażek w_ latach 1951 –_ 1956 ._
Tokens: 1_ 2___ 3_______ 4 5____________ 6_____ 7 8_______ 9 10_______ 11 12 13___ 14 15 16_____ 17 18____ 19__ 20 21__ 22

Chunks:
  TruePositive nam [6,6] = Polski (confidence=1.00)

(ChunkerEvaluator) Sentence #279 from 00101456 from sent11

Text  : Karierę sportową zakończył w 1957 roku .
Tokens: 1______ 2_______ 3________ 4 5___ 6___ 7

Chunks:

(ChunkerEvaluator) Sentence #280 from 00101456 from sent12

Text  : Stoczył 156 walk , z czego 125 wygrał , 1_ zremisował i_ 30 przegrał ._
Tokens: 1______ 2__ 3___ 4 5 6____ 7__ 8_____ 9 10 11________ 12 13 14______ 15

Chunks:

2017-06-14 20:35:34,151 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 23 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101486.xml
(ChunkerEvaluator) Sentence #281 from 00101486 from sent1

Text  : Synagoga w Skwierzynie
Tokens: 1_______ 2 3__________

Chunks:
  TruePositive nam [3,3] = Skwierzynie (confidence=1.00)

(ChunkerEvaluator) Sentence #282 from 00101486 from sent2

Text  : Synagoga w Skwierzynie - synagoga zbudowana w 1841 roku przy ówczesnej ulicy Krzywej (_ niem ._ Krummstraβe )_ ,_ dziś ulicy im ._ Władysława Jagiełły ._
Tokens: 1_______ 2 3__________ 4 5_______ 6________ 7 8___ 9___ 10__ 11_______ 12___ 13_____ 14 15__ 16 17_________ 18 19 20__ 21___ 22 23 24________ 25______ 26

Chunks:
  TruePositive nam [3,3] = Skwierzynie (confidence=1.00)
  TruePositive nam [13,13] = Krzywej (confidence=1.00)
  TruePositive nam [17,17] = Krummstraβe (confidence=0.96)
  FalsePositive nam [22,25] = im . Władysława Jagiełły (confidence=0.91) (incorrect boundry)
  FalseNegative nam [24,25] = Władysława Jagiełły

(ChunkerEvaluator) Sentence #283 from 00101486 from sent3

Text  : Swoją funkcję pełniła do czasów II wojny światowej , kiedy to podczas tzw ._ "_ Nocy Kryształowej "_ ,_ została zdewastowana przez hitlerowców ._
Tokens: 1____ 2______ 3______ 4_ 5_____ 6_ 7____ 8________ 9 10___ 11 12_____ 13_ 14 15 16__ 17__________ 18 19 20_____ 21__________ 22___ 23_________ 24

Chunks:
  TruePositive nam [6,8] = II wojny światowej (confidence=1.00)
  TruePositive nam [16,17] = Nocy Kryształowej (confidence=1.00)

(ChunkerEvaluator) Sentence #284 from 00101486 from sent4

Text  : Spłonęła doszczętnie w 1945 roku .
Tokens: 1_______ 2__________ 3 4___ 5___ 6

Chunks:

(ChunkerEvaluator) Sentence #285 from 00101486 from sent5

Text  : Historia
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #286 from 00101486 from sent6

Text  : Synagogę tę otwarto 1 stycznia 1841 roku .
Tokens: 1_______ 2_ 3______ 4 5_______ 6___ 7___ 8

Chunks:

(ChunkerEvaluator) Sentence #287 from 00101486 from sent7

Text  : Poprzednia świątynia , pochodząca z XVIII wieku , znajdująca się przy dawnej ulicy Rowowej (_ obecnie ulica Powstańców Wielkopolskich )_ ,_ spłonęła w_ jednym z_ licznych pożarów miasta ._
Tokens: 1_________ 2________ 3 4_________ 5 6____ 7____ 8 9_________ 10_ 11__ 12____ 13___ 14_____ 15 16_____ 17___ 18________ 19____________ 20 21 22______ 23 24____ 25 26______ 27_____ 28____ 29

Chunks:
  TruePositive nam [14,14] = Rowowej (confidence=1.00)
  TruePositive nam [18,19] = Powstańców Wielkopolskich (confidence=1.00)

(ChunkerEvaluator) Sentence #288 from 00101486 from sent8

Text  : Po zniszczeniu synagogi w 1945 roku , na jej miejscu wybudowano blok mieszkalny z_ restauracją znajdującą się na parterze tego budynku ._
Tokens: 1_ 2__________ 3_______ 4 5___ 6___ 7 8_ 9__ 10_____ 11________ 12__ 13________ 14 15_________ 16________ 17_ 18 19______ 20__ 21_____ 22

Chunks:

2017-06-14 20:35:34,183 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 24 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101516.xml
(ChunkerEvaluator) Sentence #289 from 00101516 from sent1

Text  : Należę do nielicznych wybrańców , którym wolno bezkarnie przechodzić z_ jednej w_ drugą dziedzinę ._
Tokens: 1_____ 2_ 3__________ 4________ 5 6_____ 7____ 8________ 9__________ 10 11____ 12 13___ 14_______ 15

Chunks:

(ChunkerEvaluator) Sentence #290 from 00101516 from sent2

Text  : Dzięki memu „ obłąkaniu ” stanął em na rubieży dwóch światów ._
Tokens: 1_____ 2___ 3 4________ 5 6_____ 7_ 8_ 9______ 10___ 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #291 from 00101516 from sent3

Text  : Może właśnie dlatego wydaję się innym , anormalnym , szalonym ._
Tokens: 1___ 2______ 3______ 4_____ 5__ 6____ 7 8_________ 9 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #292 from 00101516 from sent4

Text  : Może właśnie dlatego wyzwolony jestem z przesądów mózgu i ciemnego ich „_ intelektu ”_ ._
Tokens: 1___ 2______ 3______ 4________ 5_____ 6 7________ 8____ 9 10______ 11_ 12 13_______ 14 15

Chunks:

(ChunkerEvaluator) Sentence #293 from 00101516 from sent5

Text  : Twory ich są mi obce i nie zobowiązują do niczego ;_ pojęcie czasu dla mnie nie istnieje ._
Tokens: 1____ 2__ 3_ 4_ 5___ 6 7__ 8__________ 9_ 10_____ 11 12_____ 13___ 14_ 15__ 16_ 17______ 18

Chunks:

(ChunkerEvaluator) Sentence #294 from 00101516 from sent6

Text  : A jednak coś pozostało jeszcze z przywar tej strony :_ nie mogę zdobyć się na zatratę poczucia przestrzeni ,_ która wciąż jeszcze przemawia do mnie głosem mocnym ,_ rozkazującym ,_ potrąca lekceważąco bryłowatością przedmiotów ,_ męczy tęskniącą nudą długich bez końca gościńców ._
Tokens: 1 2_____ 3__ 4________ 5______ 6 7______ 8__ 9_____ 10 11_ 12__ 13____ 14_ 15 16_____ 17______ 18_________ 19 20___ 21___ 22_____ 23_______ 24 25__ 26____ 27____ 28 29__________ 30 31_____ 32_________ 33___________ 34_________ 35 36___ 37_______ 38__ 39_____ 40_ 41___ 42_______ 43

Chunks:

(ChunkerEvaluator) Sentence #295 from 00101516 from sent7

Text  : Dlatego nie jestem czystym duchem tylko „ obłąkanym człowiekiem ”_ ,_ co wzbudza u_ normalnych litość ,_ pogardę lub strach ._
Tokens: 1______ 2__ 3_____ 4______ 5_____ 6____ 7 8________ 9__________ 10 11 12 13_____ 14 15________ 16____ 17 18_____ 19_ 20____ 21

Chunks:

(ChunkerEvaluator) Sentence #296 from 00101516 from sent8

Text  : Lecz się nie skarżę .
Tokens: 1___ 2__ 3__ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #297 from 00101516 from sent9

Text  : Lepiej mi z tym niż im ze zdrowymi mózgami ._
Tokens: 1_____ 2_ 3 4__ 5__ 6_ 7_ 8_______ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #298 from 00101516 from sent10

Text  : Przede mną rozwierają się krainy odległe , zamglone , ponure głębie nieznanych światów ,_ przepaście czarowne ._
Tokens: 1_____ 2__ 3_________ 4__ 5_____ 6______ 7 8_______ 9 10____ 11____ 12________ 13_____ 14 15________ 16______ 17

Chunks:

(ChunkerEvaluator) Sentence #299 from 00101516 from sent11

Text  : Nawiedzają mnie korowody zmarłych , orszaki stworów dziwnych , kapryśne jaźnie żywiołów ._
Tokens: 1_________ 2___ 3_______ 4_______ 5 6______ 7______ 8_______ 9 10______ 11____ 12______ 13

Chunks:

(ChunkerEvaluator) Sentence #300 from 00101516 from sent12

Text  : Wyłaniają się jedne , odchodzą drugie — lotne , piękne ,_ groźne ._ ._ ._
Tokens: 1________ 2__ 3____ 4 5_______ 6_____ 7 8____ 9 10____ 11 12____ 13 14 15

Chunks:

(ChunkerEvaluator) Sentence #301 from 00101516 from sent13

Text  : Któraś z fal trwania wyrzuciła na próg mego domu postać nową —_ dotąd nie wiem ,_ „_ rzeczywistą ”_ czy z_ tamtego brzegu ._
Tokens: 1_____ 2 3__ 4______ 5________ 6_ 7___ 8___ 9___ 10____ 11__ 12 13___ 14_ 15__ 16 17 18_________ 19 20_ 21 22_____ 23____ 24

Chunks:

(ChunkerEvaluator) Sentence #302 from 00101516 from sent14

Text  : Przychodzi wieczorem , nie wiadomo jak i skąd , staje obok mnie i_ wpatruje się we mnie godzinami bez słowa ._
Tokens: 1_________ 2________ 3 4__ 5______ 6__ 7 8___ 9 10___ 11__ 12__ 13 14______ 15_ 16 17__ 18_______ 19_ 20___ 21

Chunks:

(ChunkerEvaluator) Sentence #303 from 00101516 from sent15

Text  : Wygląda trochę antycznie .
Tokens: 1______ 2_____ 3________ 4

Chunks:

(ChunkerEvaluator) Sentence #304 from 00101516 from sent16

Text  : Twarz rzymska , ogolona , bez śladu zarostu — twarz śniada ,_ niemal szara ._
Tokens: 1____ 2______ 3 4______ 5 6__ 7____ 8______ 9 10___ 11____ 12 13____ 14___ 15

Chunks:

(ChunkerEvaluator) Sentence #305 from 00101516 from sent17

Text  : Wiek nieokreślony : czasem wygląda na lat pięćdziesiąt , czasem na sto lub więcej ;_ maska mieni się przedziwnie ._
Tokens: 1___ 2___________ 3 4_____ 5______ 6_ 7__ 8___________ 9 10____ 11 12_ 13_ 14____ 15 16___ 17___ 18_ 19_________ 20

Chunks:

(ChunkerEvaluator) Sentence #306 from 00101516 from sent18

Text  : Jednak czuję , że musi to być człowiek bardzo stary ._
Tokens: 1_____ 2____ 3 4_ 5___ 6_ 7__ 8_______ 9_____ 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #307 from 00101516 from sent19

Text  : W ręce prawej trzyma kosę , w lewej klepsydrę ,_ którą od czasu do czasu podnosi pod światło ,_ badając położenie piasku ._
Tokens: 1 2___ 3_____ 4_____ 5___ 6 7 8____ 9________ 10 11___ 12 13___ 14 15___ 16_____ 17_ 18_____ 19 20_____ 21_______ 22____ 23

Chunks:

(ChunkerEvaluator) Sentence #308 from 00101516 from sent20

Text  : Zrazu milczał uporczywie i na pytania nie dawał odpowiedzi ._
Tokens: 1____ 2______ 3_________ 4 5_ 6______ 7__ 8____ 9_________ 10

Chunks:

(ChunkerEvaluator) Sentence #309 from 00101516 from sent21

Text  : Dopiero po dziesiątej z rzędu wizycie dał się wciągnąć w_ pogawędkę ._
Tokens: 1______ 2_ 3_________ 4 5____ 6______ 7__ 8__ 9_______ 10 11_______ 12

Chunks:

(ChunkerEvaluator) Sentence #310 from 00101516 from sent22

Text  : Szła z początku opornie i ciężko , bo gość znać małomówny i_ nie ma wprawy ._
Tokens: 1___ 2 3_______ 4______ 5 6_____ 7 8_ 9___ 10__ 11_______ 12 13_ 14 15____ 16

Chunks:

(ChunkerEvaluator) Sentence #311 from 00101516 from sent23

Text  : — Odłóż kosę — zachęcił em go na powitanie ._
Tokens: 1 2____ 3___ 4 5_______ 6_ 7_ 8_ 9________ 10

Chunks:

(ChunkerEvaluator) Sentence #312 from 00101516 from sent24

Text  : — Tyle lat dźwigasz ją niepotrzebnie ; dziś już nie sprawia należytego wrażenia —_ stała się martwym wspomnieniem antycznym ._
Tokens: 1 2___ 3__ 4_______ 5_ 6____________ 7 8___ 9__ 10_ 11_____ 12________ 13______ 14 15___ 16_ 17_____ 18__________ 19_______ 20

Chunks:

(ChunkerEvaluator) Sentence #313 from 00101516 from sent25

Text  : Twarz gościa skrzywiła się w złośliwy grymas ; z ust wyszedł po raz pierwszy głos drewniany ,_ bez dźwięku :_
Tokens: 1____ 2_____ 3________ 4__ 5 6_______ 7_____ 8 9 10_ 11_____ 12 13_ 14______ 15__ 16_______ 17 18_ 19_____ 20

Chunks:

(ChunkerEvaluator) Sentence #314 from 00101516 from sent26

Text  : — Tak sądzisz ?
Tokens: 1 2__ 3______ 4

Chunks:

(ChunkerEvaluator) Sentence #315 from 00101516 from sent27

Text  : Ja myślę inaczej .
Tokens: 1_ 2____ 3______ 4

Chunks:

(ChunkerEvaluator) Sentence #316 from 00101516 from sent28

Text  : Jestem Tempus .
Tokens: 1_____ 2_____ 3

Chunks:
  TruePositive nam [2,2] = Tempus (confidence=0.94)

2017-06-14 20:35:34,291 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 25 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101520.xml
(ChunkerEvaluator) Sentence #317 from 00101520 from sent1

Text  : Usiadła na krześle wstawionym we framugę okna .
Tokens: 1______ 2_ 3______ 4_________ 5_ 6______ 7___ 8

Chunks:

(ChunkerEvaluator) Sentence #318 from 00101520 from sent2

Text  : Oparła łokieć , z którego zsunęła się niebieska flanelowa matinka ,_ i_ patrzała ciągle w_ przestrzeń ._
Tokens: 1_____ 2_____ 3 4 5______ 6______ 7__ 8________ 9________ 10_____ 11 12 13______ 14____ 15 16________ 17

Chunks:

(ChunkerEvaluator) Sentence #319 from 00101520 from sent3

Text  : Lecz teraz nie liczyła lamp i nie równała siły światła ze światłem lamp płonących na ulicach Warszawy -_ cofnęła się jakby wstecz ,_ jakby w_ głąb siebie i_ mimo chęci i_ woli zaczęła przeżywać swoje codzienne ,_ zwykłe życie ,_ tam na Wareckiej ,_ na drugim piętrze ,_ we wnętrzu niewielkiego mieszkania ,_ w_ którym tłoczyli się w_ kilkoro ,_ zawsze skryci ,_ nieufni ,_ jakby wszyscy w_ niedomówieniach i_ domysłach pogrążeni ._
Tokens: 1___ 2____ 3__ 4______ 5___ 6 7__ 8______ 9___ 10_____ 11 12______ 13__ 14_______ 15 16_____ 17______ 18 19_____ 20_ 21___ 22____ 23 24___ 25 26__ 27____ 28 29__ 30___ 31 32__ 33_____ 34_______ 35___ 36_______ 37 38____ 39___ 40 41_ 42 43_______ 44 45 46____ 47_____ 48 49 50_____ 51__________ 52________ 53 54 55____ 56______ 57_ 58 59_____ 60 61____ 62____ 63 64_____ 65 66___ 67_____ 68 69_____________ 70 71_______ 72_______ 73

Chunks:
  TruePositive nam [17,17] = Warszawy (confidence=1.00)
  TruePositive nam [43,43] = Wareckiej (confidence=0.99)

(ChunkerEvaluator) Sentence #320 from 00101520 from sent4

Text  : Ten brak szczerości był znamienną cechą całego ich pożycia ._
Tokens: 1__ 2___ 3_________ 4__ 5________ 6____ 7_____ 8__ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #321 from 00101520 from sent5

Text  : Każde dziecko miało już w sobie to coś " między liniami "_ ,_ czego nie wykazywało w_ chwili nawet ,_ zda się ,_ najserdeczniejszej ._
Tokens: 1____ 2______ 3____ 4__ 5 6____ 7_ 8__ 9 10____ 11_____ 12 13 14___ 15_ 16________ 17 18____ 19___ 20 21_ 22_ 23 24________________ 25

Chunks:

(ChunkerEvaluator) Sentence #322 from 00101520 from sent6

Text  : Czy szło to od matki , czy od ojca ,_ tego zbadać nikt nie mógł ,_ bo pomiędzy Tuśką a_ jej mężem było pod tym względem wielkie podobieństwo ,_ nieledwie identyczność moralna ._
Tokens: 1__ 2___ 3_ 4_ 5____ 6 7__ 8_ 9___ 10 11__ 12____ 13__ 14_ 15__ 16 17 18______ 19___ 20 21_ 22___ 23__ 24_ 25_ 26______ 27_____ 28__________ 29 30_______ 31__________ 32_____ 33

Chunks:
  TruePositive nam [19,19] = Tuśką (confidence=1.00)

(ChunkerEvaluator) Sentence #323 from 00101520 from sent7

Text  : - Zawsze politykujemy . . .
Tokens: 1 2_____ 3___________ 4 5 6

Chunks:

(ChunkerEvaluator) Sentence #324 from 00101520 from sent8

Text  : - myślała nieraz Tuśka i gdy całowała w głowę wychodzącego z_ domu do szkoły syna ,_ czuła ,_ że to "_ polityka "_ ,_ to poddanie się grzeczne chłopca i_ to jej niby rozserdecznione zbliżenie ,_ ten wiatyk na drogę ._ ._ ._
Tokens: 1 2______ 3_____ 4____ 5 6__ 7_______ 8 9____ 10__________ 11 12__ 13 14____ 15__ 16 17___ 18 19 20 21 22______ 23 24 25 26______ 27_ 28______ 29_____ 30 31 32_ 33__ 34_____________ 35_______ 36 37_ 38____ 39 40___ 41 42 43

Chunks:
  TruePositive nam [4,4] = Tuśka (confidence=1.00)

(ChunkerEvaluator) Sentence #325 from 00101520 from sent9

Text  : W ciasnym mieszkaniu , gdzie najlepszy pokój stał pustką ,_ "_ salonem "_ ochrzczony i_ zastawiony masą palm i_ fikusów ,_ nikt z_ tych ludzi kilkorga nie obijał się o_ drugiego moralnie ani fizycznie i_ nikt nikomu przemocą do duszy się nie wdzierał ._
Tokens: 1 2______ 3_________ 4 5____ 6________ 7____ 8___ 9_____ 10 11 12_____ 13 14________ 15 16________ 17__ 18__ 19 20_____ 21 22__ 23 24__ 25___ 26______ 27_ 28____ 29_ 30 31______ 32______ 33_ 34_______ 35 36__ 37____ 38______ 39 40___ 41_ 42_ 43______ 44

Chunks:

(ChunkerEvaluator) Sentence #326 from 00101520 from sent10

Text  : Obchodzili się cicho i mieli dla siebie zdawkowe uśmiechy ._
Tokens: 1_________ 2__ 3____ 4 5____ 6__ 7_____ 8_______ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #327 from 00101520 from sent11

Text  : Gdy powiększyło się ich grono o jedną jeszcze żywą istotę ,_ przyjmowano ją z_ pewną kurtuazją ,_ ścieśniając się tylko trochę na przestrzeni życiowej ._
Tokens: 1__ 2__________ 3__ 4__ 5____ 6 7____ 8______ 9___ 10____ 11 12_________ 13 14 15___ 16_______ 17 18_________ 19_ 20___ 21____ 22 23_________ 24______ 25

Chunks:

(ChunkerEvaluator) Sentence #328 from 00101520 from sent12

Text  : - Tak będzie najlepiej , cicho i spokojnie - zdawali się mówić do siebie wszyscy ,_ gdy zgromadzili się przy obiedzie lub wieczornej herbacie ._
Tokens: 1 2__ 3_____ 4________ 5 6____ 7 8________ 9 10_____ 11_ 12___ 13 14____ 15_____ 16 17_ 18_________ 19_ 20__ 21______ 22_ 23________ 24______ 25

Chunks:

(ChunkerEvaluator) Sentence #329 from 00101520 from sent13

Text  : Rozmawiali wtedy , ale była to rozmowa nie poruszająca nigdy tej drugiej warstwy ich dusz ._
Tokens: 1_________ 2____ 3 4__ 5___ 6_ 7______ 8__ 9__________ 10___ 11_ 12_____ 13_____ 14_ 15__ 16

Chunks:

(ChunkerEvaluator) Sentence #330 from 00101520 from sent14

Text  : Zdawało się , że czynią to przez delikatność , a_ była to ,_ zda się ,_ trwoga ,_ aby nie ujrzeć nagle właściwych swych rusztowań ._
Tokens: 1______ 2__ 3 4_ 5_____ 6_ 7____ 8__________ 9 10 11__ 12 13 14_ 15_ 16 17____ 18 19_ 20_ 21____ 22___ 23________ 24___ 25_______ 26

Chunks:

(ChunkerEvaluator) Sentence #331 from 00101520 from sent15

Text  : Błędy i nałogi dzieci , jakkolwiek pod pokrywką grzecznego ułożenia schowane ,_ istniały niemniej groźne i_ tragiczne ._
Tokens: 1____ 2 3_____ 4_____ 5 6_________ 7__ 8_______ 9_________ 10______ 11______ 12 13______ 14______ 15____ 16 17_______ 18

Chunks:

(ChunkerEvaluator) Sentence #332 from 00101520 from sent16

Text  : Nie poruszało się nigdy ich kwestii , obchodziło się mimo ,_ tak jak ich skrofuliczne tendencje organizmu ._ ._ ._
Tokens: 1__ 2________ 3__ 4____ 5__ 6______ 7 8_________ 9__ 10__ 11 12_ 13_ 14_ 15__________ 16_______ 17_______ 18 19 20

Chunks:

2017-06-14 20:35:34,396 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 26 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101544.xml
(ChunkerEvaluator) Sentence #333 from 00101544 from sent1

Text  : W celu ułatwienia zmian i stabilizacji redakcji , wprowadzimy w_ lutym system zgłaszania propozycji tytułów artykułów oraz system głosowania na zgłoszone propozycje ._
Tokens: 1 2___ 3_________ 4____ 5 6___________ 7_______ 8 9__________ 10 11___ 12____ 13________ 14________ 15_____ 16_______ 17__ 18____ 19________ 20 21_______ 22________ 23

Chunks:

(ChunkerEvaluator) Sentence #334 from 00101544 from sent2

Text  : Jest to chyba najlepszy możliwy sposób na publikację najciekawszych ,_ a_ przede wszystkim pożądanych treści ._
Tokens: 1___ 2_ 3____ 4________ 5______ 6_____ 7_ 8_________ 9_____________ 10 11 12____ 13_______ 14________ 15____ 16

Chunks:

(ChunkerEvaluator) Sentence #335 from 00101544 from sent3

Text  : Mamy być w końcu medium społecznościowym , więc społeczność powinna mieć swój głos przy tworzeniu magazynu ._
Tokens: 1___ 2__ 3 4____ 5_____ 6_______________ 7 8___ 9__________ 10_____ 11__ 12__ 13__ 14__ 15_______ 16______ 17

Chunks:

(ChunkerEvaluator) Sentence #336 from 00101544 from sent4

Text  : Nietrudno zauważyć , że pomimo zmiany formatu , nadal wyświetlamy pewne reklamy ._
Tokens: 1________ 2_______ 3 4_ 5_____ 6_____ 7______ 8 9____ 10_________ 11___ 12_____ 13

Chunks:

(ChunkerEvaluator) Sentence #337 from 00101544 from sent5

Text  : W większości są to reklamy zaprzyjaźnionych miejsc w sieci i_ polegają na wzajemnej promocji ._
Tokens: 1 2_________ 3_ 4_ 5______ 6_______________ 7_____ 8 9____ 10 11______ 12 13_______ 14______ 15

Chunks:

(ChunkerEvaluator) Sentence #338 from 00101544 from sent6

Text  : Wyjątkiem jest reklama naszego dostawcy usługi hostingowej , która trafia do Was w_ zamian za udostępnienie nam serwera z_ którego możecie pobierać Miesięcznik Komputerowy ._
Tokens: 1________ 2___ 3______ 4______ 5_______ 6_____ 7__________ 8 9____ 10____ 11 12_ 13 14____ 15 16___________ 17_ 18_____ 19 20_____ 21_____ 22______ 23_________ 24_________ 25

Chunks:
  TruePositive nam [23,24] = Miesięcznik Komputerowy (confidence=1.00)

(ChunkerEvaluator) Sentence #339 from 00101544 from sent7

Text  : Jeżeli ktoś jest zainteresowany opublikowaniem swojej reklamy na stronach Miesięcznika Komputerowego ,_ to proszę o_ kontakt ._
Tokens: 1_____ 2___ 3___ 4_____________ 5_____________ 6_____ 7______ 8_ 9_______ 10__________ 11___________ 12 13 14____ 15 16_____ 17

Chunks:
  TruePositive nam [10,11] = Miesięcznika Komputerowego (confidence=1.00)

(ChunkerEvaluator) Sentence #340 from 00101544 from sent8

Text  : Nie jest to usługa płatna – polega na barterze usług ._
Tokens: 1__ 2___ 3_ 4_____ 5_____ 6 7_____ 8_ 9_______ 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #341 from 00101544 from sent9

Text  : Na końcu magazynu znajdziecie dwa nowe , ciekawe działy ._
Tokens: 1_ 2____ 3_______ 4__________ 5__ 6___ 7 8______ 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #342 from 00101544 from sent10

Text  : Pierwszy z nich ma za zadanie rozerwać Was po przebrnięciu przez cały numer (_ mam nadzieję ,_ ze nie będzie to wiązało się z_ katuszami )_ ,_ zaś drugi to lista polecanych przez nas (_ i_ przez Was )_ blogów o_ tematyce powiązanej z_ tematyką Miesięcznika Komputerowego ._
Tokens: 1_______ 2 3___ 4_ 5_ 6______ 7_______ 8__ 9_ 10__________ 11___ 12__ 13___ 14 15_ 16______ 17 18 19_ 20____ 21 22_____ 23_ 24 25_______ 26 27 28_ 29___ 30 31___ 32________ 33___ 34_ 35 36 37___ 38_ 39 40____ 41 42______ 43________ 44 45______ 46__________ 47___________ 48

Chunks:
  TruePositive nam [46,47] = Miesięcznika Komputerowego (confidence=1.00)
  FalsePositive nam [38,38] = Was (confidence=0.76) (incorrect boundry)

(ChunkerEvaluator) Sentence #343 from 00101544 from sent11

Text  : Pozdrawiam , dziękuję za to , że jesteście z nami ,_ mam nadzieję ,_ że będziecie z_ nami dalej i_ zachęcam do zapoznania się z_ #_ 6_ ._
Tokens: 1_________ 2 3_______ 4_ 5_ 6 7_ 8________ 9 10__ 11 12_ 13______ 14 15 16_______ 17 18__ 19___ 20 21______ 22 23________ 24_ 25 26 27 28

Chunks:

2017-06-14 20:35:34,455 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 27 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101550.xml
(ChunkerEvaluator) Sentence #344 from 00101550 from sent1

Text  : Firma Software Wydawnictwo już nie raz zaskakiwała nas swoimi poczynaniami ._
Tokens: 1____ 2_______ 3__________ 4__ 5__ 6__ 7__________ 8__ 9_____ 10__________ 11

Chunks:
  TruePositive nam [2,3] = Software Wydawnictwo (confidence=0.89)

(ChunkerEvaluator) Sentence #345 from 00101550 from sent2

Text  : Od kiedy w sieci pojawił się pierwszy darmowy numer magazyny Linux +_ ,_ i_ firma ogłosiła ,_ że każdy kolejny będzie taki ,_ rezygnując z_ wydań drukowanych wielu ogarnęło zadowolenie ,_ szczególnie że w_ kieszeni zostaje 25 złotych ._
Tokens: 1_ 2____ 3 4____ 5______ 6__ 7_______ 8______ 9____ 10______ 11___ 12 13 14 15___ 16______ 17 18 19___ 20_____ 21____ 22__ 23 24________ 25 26___ 27_________ 28___ 29______ 30_________ 31 32_________ 33 34 35______ 36_____ 37 38_____ 39

Chunks:
  TruePositive nam [11,12] = Linux + (confidence=0.83)
  TruePositive nam [38,38] = złotych (confidence=0.91)

(ChunkerEvaluator) Sentence #346 from 00101550 from sent3

Text  : Ale na tym się nie skończyło , bo oto pojawiały się kolejne darmowe wydania innych czasopism ,_ jak Software Developer's Journal ,_ czy archiwalne numery Linux +_ ,_ Software Developer's Journal ,_ czy Hakin9 ._
Tokens: 1__ 2_ 3__ 4__ 5__ 6________ 7 8_ 9__ 10_______ 11_ 12_____ 13_____ 14_____ 15____ 16_______ 17 18_ 19______ 20_________ 21_____ 22 23_ 24________ 25____ 26___ 27 28 29______ 30_________ 31_____ 32 33_ 34____ 35

Chunks:
  TruePositive nam [19,21] = Software Developer's Journal (confidence=1.00)
  TruePositive nam [26,27] = Linux + (confidence=0.92)
  TruePositive nam [29,31] = Software Developer's Journal (confidence=0.98)
  TruePositive nam [34,34] = Hakin9 (confidence=1.00)

2017-06-14 20:35:34,478 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 28 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101599.xml
(ChunkerEvaluator) Sentence #347 from 00101599 from sent1

Text  : Przyszło mi na myśl , że ostatecznie dla Tota taka przegrana istotnie nic nie znaczyła ._
Tokens: 1_______ 2_ 3_ 4___ 5 6_ 7__________ 8__ 9___ 10__ 11_______ 12______ 13_ 14_ 15______ 16

Chunks:
  TruePositive nam [9,9] = Tota (confidence=0.89)

(ChunkerEvaluator) Sentence #348 from 00101599 from sent2

Text  : A dobrze było by , gdyby choć w taki sposób został ukarany za swą zarozumiałość ._
Tokens: 1 2_____ 3___ 4_ 5 6____ 7___ 8 9___ 10____ 11____ 12_____ 13 14_ 15___________ 16

Chunks:

(ChunkerEvaluator) Sentence #349 from 00101599 from sent3

Text  : No i za tę głupią Muszkę .
Tokens: 1_ 2 3_ 4_ 5_____ 6_____ 7

Chunks:
  TruePositive nam [6,6] = Muszkę (confidence=0.98)

(ChunkerEvaluator) Sentence #350 from 00101599 from sent4

Text  : Jednak po dłuższym zastanowieniu doszła m do przekonania , że czuła by m_ do siebie wstręt ,_ gdyby m_ wzięła udział w_ tej machinacji ._
Tokens: 1_____ 2_ 3_______ 4____________ 5_____ 6 7_ 8__________ 9 10 11___ 12 13 14 15____ 16____ 17 18___ 19 20____ 21____ 22 23_ 24________ 25

Chunks:

(ChunkerEvaluator) Sentence #351 from 00101599 from sent5

Text  : Stryjowi powiedziała m oczywiście , że się zgadzam .
Tokens: 1_______ 2__________ 3 4_________ 5 6_ 7__ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #352 from 00101599 from sent6

Text  : Miała m już pomysł zaaranżowania tej sprawy w inny sposób ._
Tokens: 1____ 2 3__ 4_____ 5____________ 6__ 7_____ 8 9___ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #353 from 00101599 from sent7

Text  : Zaraz po wyjściu stryja zatelefonowała m do owego Tonnora ._
Tokens: 1____ 2_ 3______ 4_____ 5_____________ 6 7_ 8____ 9______ 10

Chunks:
  TruePositive nam [9,9] = Tonnora (confidence=0.88)

(ChunkerEvaluator) Sentence #354 from 00101599 from sent8

Text  : Przyznam się , że serce mi mocno biło , gdy czekała m_ ,_ aż się odezwie ._
Tokens: 1_______ 2__ 3 4_ 5____ 6_ 7____ 8___ 9 10_ 11_____ 12 13 14 15_ 16_____ 17

Chunks:

(ChunkerEvaluator) Sentence #355 from 00101599 from sent9

Text  : Nigdy nie dzwoniła m do nieznajomych mężczyzn tego typu ._
Tokens: 1____ 2__ 3_______ 4 5_ 6___________ 7_______ 8___ 9___ 10

Chunks:

(ChunkerEvaluator) Sentence #356 from 00101599 from sent10

Text  : W tej chwili postanowiła m sobie , że zachowam wszystkie środki ostrożności ._
Tokens: 1 2__ 3_____ 4__________ 5 6____ 7 8_ 9_______ 10_______ 11____ 12_________ 13

Chunks:

(ChunkerEvaluator) Sentence #357 from 00101599 from sent11

Text  : W domu zostawię list z jego adresem i z poleceniem ,_ by mnie tam szukano ,_ jeżeli nie wrócę do określonej godziny ,_ a_ do torebki wezmę rewolwer Jacka ._
Tokens: 1 2___ 3_______ 4___ 5 6___ 7______ 8 9 10________ 11 12 13__ 14_ 15_____ 16 17____ 18_ 19___ 20 21________ 22_____ 23 24 25 26_____ 27___ 28______ 29___ 30

Chunks:
  TruePositive nam [29,29] = Jacka (confidence=1.00)

(ChunkerEvaluator) Sentence #358 from 00101599 from sent12

Text  : W słuchawce odezwał się niski głos męski .
Tokens: 1 2________ 3______ 4__ 5____ 6___ 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #359 from 00101599 from sent13

Text  : Zapytała m , czy mówię z panem Robertem Tonnorem ,_ a_ gdy potwierdził ,_ powiedziała m_ :_
Tokens: 1_______ 2 3 4__ 5____ 6 7____ 8_______ 9_______ 10 11 12_ 13_________ 14 15_________ 16 17

Chunks:
  TruePositive nam [8,9] = Robertem Tonnorem (confidence=1.00)

(ChunkerEvaluator) Sentence #360 from 00101599 from sent14

Text  : – Proszę pana , nie podam panu swego nazwiska ,_ bo nie ma ono dla pana żadnego znaczenia i_ pragnęła by m_ je zachować w_ tajemnicy ._
Tokens: 1 2_____ 3___ 4 5__ 6____ 7___ 8____ 9_______ 10 11 12_ 13 14_ 15_ 16__ 17_____ 18_______ 19 20______ 21 22 23 24______ 25 26_______ 27

Chunks:

(ChunkerEvaluator) Sentence #361 from 00101599 from sent15

Text  : Ale muszę widzieć się z panem .
Tokens: 1__ 2____ 3______ 4__ 5 6____ 7

Chunks:

(ChunkerEvaluator) Sentence #362 from 00101599 from sent16

Text  : Mam do pana interes , interes dość ważny , zapewniam pana ,_ by poświęcił pan mu kilka chwil czasu ._
Tokens: 1__ 2_ 3___ 4______ 5 6______ 7___ 8____ 9 10_______ 11__ 12 13 14_______ 15_ 16 17___ 18___ 19___ 20

Chunks:

(ChunkerEvaluator) Sentence #363 from 00101599 from sent17

Text  : Czy mógł by mnie pan przyjąć , powiedzmy , jutro w_ godzinach rannych ?_
Tokens: 1__ 2___ 3_ 4___ 5__ 6______ 7 8________ 9 10___ 11 12_______ 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #364 from 00101599 from sent18

Text  : Był widocznie zaskoczony , gdyż odpowiedział :
Tokens: 1__ 2________ 3_________ 4 5___ 6___________ 7

Chunks:

(ChunkerEvaluator) Sentence #365 from 00101599 from sent19

Text  : – A czy ja mam przyjemność panią znać ?
Tokens: 1 2 3__ 4_ 5__ 6__________ 7____ 8___ 9

Chunks:

(ChunkerEvaluator) Sentence #366 from 00101599 from sent20

Text  : – Nie , proszę pana .
Tokens: 1 2__ 3 4_____ 5___ 6

Chunks:

(ChunkerEvaluator) Sentence #367 from 00101599 from sent21

Text  : – Może z widzenia ? . . .
Tokens: 1 2___ 3 4_______ 5 6 7 8

Chunks:

(ChunkerEvaluator) Sentence #368 from 00101599 from sent22

Text  : – Nigdy pana nie widziała m .
Tokens: 1 2____ 3___ 4__ 5_______ 6 7

Chunks:

(ChunkerEvaluator) Sentence #369 from 00101599 from sent23

Text  : – Więc jakiego rodzaju może pani mieć interes do mnie ?_
Tokens: 1 2___ 3______ 4______ 5___ 6___ 7___ 8______ 9_ 10__ 11

Chunks:

(ChunkerEvaluator) Sentence #370 from 00101599 from sent24

Text  : Bo uprzedzam z góry , że jeżeli to ma być odkurzacz ,_ krawaty czy patentowana maszynka do golenia –_ to wszystko już posiadam ._
Tokens: 1_ 2________ 3 4___ 5 6_ 7_____ 8_ 9_ 10_ 11_______ 12 13_____ 14_ 15_________ 16______ 17 18_____ 19 20 21______ 22_ 23______ 24

Chunks:

(ChunkerEvaluator) Sentence #371 from 00101599 from sent25

Text  : Omal nie zaśmiała m się i powiedziała m mu ,_ że to nie ma nic wspólnego z_ pieniędzmi ._
Tokens: 1___ 2__ 3_______ 4 5__ 6 7__________ 8 9_ 10 11 12 13_ 14 15_ 16_______ 17 18________ 19

Chunks:

(ChunkerEvaluator) Sentence #372 from 00101599 from sent26

Text  : Wówczas on zamyślił się i oświadczył , że jutro nie dysponuje czasem ._
Tokens: 1______ 2_ 3_______ 4__ 5 6_________ 7 8_ 9____ 10_ 11_______ 12____ 13

Chunks:

(ChunkerEvaluator) Sentence #373 from 00101599 from sent27

Text  : Natomiast może mnie przyjąć dzisiaj o ósmej .
Tokens: 1________ 2___ 3___ 4______ 5______ 6 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #374 from 00101599 from sent28

Text  : Nie miała m wyboru , ponieważ zaś chciała m sprawę tej biednej Halszki załatwić jak najprędzej –_ zgodziła m_ się ._
Tokens: 1__ 2____ 3 4_____ 5 6_______ 7__ 8______ 9 10____ 11_ 12_____ 13_____ 14______ 15_ 16________ 17 18______ 19 20_ 21

Chunks:
  TruePositive nam [13,13] = Halszki (confidence=1.00)

(ChunkerEvaluator) Sentence #375 from 00101599 from sent29

Text  : Ubrała m się w czarną suknię i nie wzięła m_ żadnej biżuterii (_ po takim człowieku wszystkiego przecież można się spodziewać )_ ._
Tokens: 1_____ 2 3__ 4 5_____ 6_____ 7 8__ 9_____ 10 11____ 12_______ 13 14 15___ 16_______ 17_________ 18______ 19___ 20_ 21________ 22 23

Chunks:

(ChunkerEvaluator) Sentence #376 from 00101599 from sent30

Text  : Włożyła m tylko obrączkę i mały sznur pereł .
Tokens: 1______ 2 3____ 4_______ 5 6___ 7____ 8____ 9

Chunks:

(ChunkerEvaluator) Sentence #377 from 00101599 from sent31

Text  : Perły ostatnio wchodzą znów w modę .
Tokens: 1____ 2_______ 3______ 4___ 5 6___ 7

Chunks:

(ChunkerEvaluator) Sentence #378 from 00101599 from sent32

Text  : Napisała m list , znalazła m w szufladzie rewolwer Jacka ,_ przeżegnała m_ się i_ wyszła m_ ._
Tokens: 1_______ 2 3___ 4 5_______ 6 7 8_________ 9_______ 10___ 11 12_________ 13 14_ 15 16____ 17 18

Chunks:
  TruePositive nam [10,10] = Jacka (confidence=1.00)

(ChunkerEvaluator) Sentence #379 from 00101599 from sent33

Text  : Bóg wie , co mnie może spotkać .
Tokens: 1__ 2__ 3 4_ 5___ 6___ 7______ 8

Chunks:
  TruePositive nam [1,1] = Bóg (confidence=0.97)

2017-06-14 20:35:34,597 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 29 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101600.xml
(ChunkerEvaluator) Sentence #380 from 00101600 from sent1

Text  : – Nawet gdyby mąż twój był ministrem , nie uchroniło by cię to od więzienia i_ od skazującego wyroku ._
Tokens: 1 2____ 3____ 4__ 5___ 6__ 7________ 8 9__ 10_______ 11 12_ 13 14 15_______ 16 17 18_________ 19____ 20

Chunks:

(ChunkerEvaluator) Sentence #381 from 00101600 from sent2

Text  : – Więc co mam zrobić ?
Tokens: 1 2___ 3_ 4__ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #382 from 00101600 from sent3

Text  : – Jak najprędzej oddaj ten list , tak jak tego od ciebie żądano ._
Tokens: 1 2__ 3_________ 4____ 5__ 6___ 7 8__ 9__ 10__ 11 12____ 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #383 from 00101600 from sent4

Text  : – Ale to może być równoznaczne z wydaniem tego człowieka na śmierć !_
Tokens: 1 2__ 3_ 4___ 5__ 6___________ 7 8_______ 9___ 10_______ 11 12____ 13

Chunks:

(ChunkerEvaluator) Sentence #384 from 00101600 from sent5

Text  : – Tym lepiej .
Tokens: 1 2__ 3_____ 4

Chunks:

(ChunkerEvaluator) Sentence #385 from 00101600 from sent6

Text  : Jest szpiegiem i musi być unieszkodliwiony .
Tokens: 1___ 2________ 3 4___ 5__ 6_______________ 7

Chunks:

(ChunkerEvaluator) Sentence #386 from 00101600 from sent7

Text  : – Rozumujesz zbyt po męsku – odezwała m się po chwili ._
Tokens: 1 2_________ 3___ 4_ 5____ 6 7_______ 8 9__ 10 11____ 12

Chunks:

(ChunkerEvaluator) Sentence #387 from 00101600 from sent8

Text  : – Sprawa wcale nie jest taka prosta .
Tokens: 1 2_____ 3____ 4__ 5___ 6___ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #388 from 00101600 from sent9

Text  : Nie bierzesz pod uwagę , że stosując się do twojej rady wydam człowieka ,_ który nikogo poza mną jedną nie ma na świecie ._
Tokens: 1__ 2_______ 3__ 4____ 5 6_ 7_______ 8__ 9_ 10____ 11__ 12___ 13_______ 14 15___ 16____ 17__ 18_ 19___ 20_ 21 22 23_____ 24

Chunks:

(ChunkerEvaluator) Sentence #389 from 00101600 from sent10

Text  : Człowieka , który mi zaufał .
Tokens: 1________ 2 3____ 4_ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #390 from 00101600 from sent11

Text  : Inaczej by ś traktował tę sprawę , gdyby ś to ty był na jego miejscu ._
Tokens: 1______ 2_ 3 4________ 5_ 6_____ 7 8____ 9 10 11 12_ 13 14__ 15_____ 16

Chunks:

(ChunkerEvaluator) Sentence #391 from 00101600 from sent12

Text  : Romek uśmiechnął się .
Tokens: 1____ 2_________ 3__ 4

Chunks:
  TruePositive nam [1,1] = Romek (confidence=0.85)

(ChunkerEvaluator) Sentence #392 from 00101600 from sent13

Text  : – Nie mógł by m być na jego miejscu z_ dwóch przyczyn ._
Tokens: 1 2__ 3___ 4_ 5 6__ 7_ 8___ 9______ 10 11___ 12______ 13

Chunks:

(ChunkerEvaluator) Sentence #393 from 00101600 from sent14

Text  : Po pierwsze , nie wyobrażam sobie takiej sytuacji , w_ której chciał by m_ ciebie narazić na jakieś niebezpieczeństwo ,_ a_ po drugie ,_ nie jestem szpiegiem ._
Tokens: 1_ 2_______ 3 4__ 5________ 6____ 7_____ 8_______ 9 10 11____ 12____ 13 14 15____ 16_____ 17 18____ 19_______________ 20 21 22 23____ 24 25_ 26____ 27_______ 28

Chunks:

(ChunkerEvaluator) Sentence #394 from 00101600 from sent15

Text  : Natomiast ty przede wszystkim musisz liczyć się z tym ,_ że jesteś Polką ,_ żoną polskiego dyplomaty ._
Tokens: 1________ 2_ 3_____ 4________ 5_____ 6_____ 7__ 8 9__ 10 11 12____ 13___ 14 15__ 16_______ 17_______ 18

Chunks:
  TruePositive nam [13,13] = Polką (confidence=0.87)

(ChunkerEvaluator) Sentence #395 from 00101600 from sent16

Text  : Jakże możesz zastanawiać się nad tym , czy współdziałać z_ kimś ,_ kto jest wrogiem państwa ?_ !_
Tokens: 1____ 2_____ 3__________ 4__ 5__ 6__ 7 8__ 9___________ 10 11__ 12 13_ 14__ 15_____ 16_____ 17 18

Chunks:

(ChunkerEvaluator) Sentence #396 from 00101600 from sent17

Text  : Nie mogła m odmówić mu słuszności .
Tokens: 1__ 2____ 3 4______ 5_ 6_________ 7

Chunks:

(ChunkerEvaluator) Sentence #397 from 00101600 from sent18

Text  : Zresztą najprawdopodobniej sama postąpiła by m tak , jak mi radził ._
Tokens: 1______ 2_________________ 3___ 4________ 5_ 6 7__ 8 9__ 10 11____ 12

Chunks:

(ChunkerEvaluator) Sentence #398 from 00101600 from sent19

Text  : Alę przecież to nie może zmienić faktu , że mam prawo cierpieć z_ tego powodu ._
Tokens: 1__ 2_______ 3_ 4__ 5___ 6______ 7____ 8 9_ 10_ 11___ 12______ 13 14__ 15____ 16

Chunks:

(ChunkerEvaluator) Sentence #399 from 00101600 from sent20

Text  : Romek doprawdy był by interesującym chłopcem , zupełnie interesującym ,_ gdyby nie ta jego powaga ,_ gdyby nie ta dziwna mania dopatrywania się w_ zwykłych życiowych i_ przeciętnych sprawach jakichś wielkich przeznaczeń ._
Tokens: 1____ 2_______ 3__ 4_ 5____________ 6_______ 7 8_______ 9____________ 10 11___ 12_ 13 14__ 15____ 16 17___ 18_ 19 20____ 21___ 22__________ 23_ 24 25______ 26_______ 27 28__________ 29______ 30_____ 31______ 32_________ 33

Chunks:
  FalseNegative nam [1,1] = Romek

(ChunkerEvaluator) Sentence #400 from 00101600 from sent21

Text  : Jestem przekonana , że gdyby m go pocałowała , gdy mnie żegnał w_ bramie (_ a_ mówiąc nawiasem ,_ miała m_ na to ochotę )_ ,_ uważał by ,_ że jest to równoznaczne z_ postanowieniem rozwodu ,_ i_ natychmiast pojechał by do krawca ,_ by zamówić sobie ślubny frak ._
Tokens: 1_____ 2_________ 3 4_ 5____ 6 7_ 8_________ 9 10_ 11__ 12____ 13 14____ 15 16 17____ 18______ 19 20___ 21 22 23 24____ 25 26 27____ 28 29 30 31__ 32 33__________ 34 35____________ 36_____ 37 38 39_________ 40______ 41 42 43____ 44 45 46_____ 47___ 48____ 49__ 50

Chunks:

(ChunkerEvaluator) Sentence #401 from 00101600 from sent22

Text  : Romek nie uznaje żadnych połowiczności .
Tokens: 1____ 2__ 3_____ 4______ 5____________ 6

Chunks:
  TruePositive nam [1,1] = Romek (confidence=0.60)

(ChunkerEvaluator) Sentence #402 from 00101600 from sent23

Text  : Jestem przekonana , że nie rozumie , co to jest flirt ,_ a_ romans mógł by pojąć tylko jako czysty związek dusz ,_ i_ to koniecznie na Capri ._
Tokens: 1_____ 2_________ 3 4_ 5__ 6______ 7 8_ 9_ 10__ 11___ 12 13 14____ 15__ 16 17___ 18___ 19__ 20____ 21_____ 22__ 23 24 25 26________ 27 28___ 29

Chunks:
  TruePositive nam [28,28] = Capri (confidence=0.97)

(ChunkerEvaluator) Sentence #403 from 00101600 from sent24

Text  : Naturalnie związek dozgonny .
Tokens: 1_________ 2______ 3_______ 4

Chunks:

(ChunkerEvaluator) Sentence #404 from 00101600 from sent25

Text  : I żeby być pochowanymi we wspólnym grobie .
Tokens: 1 2___ 3__ 4__________ 5_ 6_______ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #405 from 00101600 from sent26

Text  : Pomyśleć : ile ten chłopak traci przyjemności , jakie na pewno nie ominęły by go ,_ gdyby nie ta jego mordercza serio postawa wobec życia ._
Tokens: 1_______ 2 3__ 4__ 5______ 6____ 7___________ 8 9____ 10 11___ 12_ 13_____ 14 15 16 17___ 18_ 19 20__ 21_______ 22___ 23_____ 24___ 25___ 26

Chunks:

2017-06-14 20:35:34,698 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 30 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101616.xml
(ChunkerEvaluator) Sentence #406 from 00101616 from sent1

Text  : Wtem spojrzawszy ku przystani , Nedia zawołała .
Tokens: 1___ 2__________ 3_ 4________ 5 6____ 7_______ 8

Chunks:
  TruePositive nam [6,6] = Nedia (confidence=0.89)

(ChunkerEvaluator) Sentence #407 from 00101616 from sent2

Text  : – Czy pani moja widzi ten statek zarzucający kotwicę w_ ogrodowej przystani ?_
Tokens: 1 2__ 3___ 4___ 5____ 6__ 7_____ 8__________ 9______ 10 11_______ 12_______ 13

Chunks:

(ChunkerEvaluator) Sentence #408 from 00101616 from sent3

Text  : – Widzę odrzekła Amazya , mogę nawet odczytać jego nazwę :_ Guidara ._
Tokens: 1 2____ 3_______ 4_____ 5 6___ 7____ 8_______ 9___ 10___ 11 12_____ 13

Chunks:
  TruePositive nam [4,4] = Amazya (confidence=1.00)
  TruePositive nam [12,12] = Guidara (confidence=0.96)

(ChunkerEvaluator) Sentence #409 from 00101616 from sent4

Text  : Obie podeszły do schodów prowadzących do morza aby lepiej przypatrzéć się statkowi ._
Tokens: 1___ 2_______ 3_ 4______ 5___________ 6_ 7____ 8__ 9_____ 10_________ 11_ 12______ 13

Chunks:

(ChunkerEvaluator) Sentence #410 from 00101616 from sent5

Text  : Była to tartana mały statek o żaglu trójkątnym wiszącym teraz na sznurach ._
Tokens: 1___ 2_ 3______ 4___ 5_____ 6 7____ 8_________ 9_______ 10___ 11 12______ 13

Chunks:

(ChunkerEvaluator) Sentence #411 from 00101616 from sent6

Text  : Lekki wietrzyk pozwolił mu przepłynąć zatokę Odeską .
Tokens: 1____ 2_______ 3_______ 4_ 5_________ 6_____ 7_____ 8

Chunks:
  FalsePositive nam [7,7] = Odeską (confidence=0.83) (incorrect boundry)
  FalseNegative nam [6,7] = zatokę Odeską

(ChunkerEvaluator) Sentence #412 from 00101616 from sent7

Text  : Łańcuch trzymał tartanę o jakie sto sążni od brzegów ,_ kołysała się lekko na falach obijających się u_ stóp ogrodu ._
Tokens: 1______ 2______ 3______ 4 5____ 6__ 7____ 8_ 9______ 10 11______ 12_ 13___ 14 15____ 16_________ 17_ 18 19__ 20____ 21

Chunks:

(ChunkerEvaluator) Sentence #413 from 00101616 from sent8

Text  : Na drągu przytwierdzonym u góry masztu i podtrzymującym żagiel powiewała chorągiew turecka ,_ srebrny pół -_ księżyc w_ czerwonem polu ._
Tokens: 1_ 2____ 3______________ 4 5___ 6_____ 7 8_____________ 9_____ 10_______ 11_______ 12_____ 13 14_____ 15_ 16 17_____ 18 19_______ 20__ 21

Chunks:

(ChunkerEvaluator) Sentence #414 from 00101616 from sent9

Text  : Kapitan Yarhud zarzucił kotwicę Guidary w tej części zatoki ;_ widać jednak niedługo miała tu zostawać ,_ gdyż żagle nie były zwinięte ,_ mogła więc odpłynąć w_ każdej chwili ._
Tokens: 1______ 2_____ 3_______ 4______ 5______ 6 7__ 8_____ 9_____ 10 11___ 12____ 13______ 14___ 15 16______ 17 18__ 19___ 20_ 21__ 22______ 23 24___ 25__ 26______ 27 28____ 29____ 30

Chunks:
  TruePositive nam [2,2] = Yarhud (confidence=0.68)
  TruePositive nam [5,5] = Guidary (confidence=0.97)

(ChunkerEvaluator) Sentence #415 from 00101616 from sent10

Text  : – Ah !
Tokens: 1 2_ 3

Chunks:

(ChunkerEvaluator) Sentence #416 from 00101616 from sent11

Text  : jakby to było przyjemnie popływać tym pięknym statkiem po morzu przy lekkim wietrzyku !_
Tokens: 1____ 2_ 3___ 4_________ 5_______ 6__ 7______ 8_______ 9_ 10___ 11__ 12____ 13_______ 14

Chunks:

(ChunkerEvaluator) Sentence #417 from 00101616 from sent12

Text  : zawołała Nedia .
Tokens: 1_______ 2____ 3

Chunks:
  TruePositive nam [2,2] = Nedia (confidence=0.97)

(ChunkerEvaluator) Sentence #418 from 00101616 from sent13

Text  : Amazya spojrzała , gdy wtem ktoś zwołał :
Tokens: 1_____ 2________ 3 4__ 5___ 6___ 7_____ 8

Chunks:
  TruePositive nam [1,1] = Amazya (confidence=0.74)

(ChunkerEvaluator) Sentence #419 from 00101616 from sent14

Text  : – Amazyo !
Tokens: 1 2_____ 3

Chunks:
  FalseNegative nam [2,2] = Amazyo

(ChunkerEvaluator) Sentence #420 from 00101616 from sent15

Text  : moja droga siostro .
Tokens: 1___ 2____ 3______ 4

Chunks:

(ChunkerEvaluator) Sentence #421 from 00101616 from sent16

Text  : Stał przed nią dwudziesto - kilkoletni młodzieniec , więcej jak średniego wzrostu ,_ zręcznej i_ śmiałej zarazem postawy ._
Tokens: 1___ 2____ 3__ 4_________ 5 6_________ 7__________ 8 9_____ 10_ 11_______ 12_____ 13 14______ 15 16_____ 17_____ 18_____ 19

Chunks:

(ChunkerEvaluator) Sentence #422 from 00101616 from sent17

Text  : Miał czarne pełne słodyczy oczy , czarne krucze włosy ,_ i_ wąsy zręcznie zakręcone ._
Tokens: 1___ 2_____ 3____ 4_______ 5___ 6 7_____ 8_____ 9____ 10 11 12__ 13______ 14_______ 15

Chunks:

(ChunkerEvaluator) Sentence #423 from 00101616 from sent18

Text  : Ahmet miał na sobie strój turecki , i nie mógł naturalnie ubierać się inaczej jako synowiec człowieka ,_ który uważał by sobie za hańbę przebierać się po europejsku jakby jakiś urzędniczek ._
Tokens: 1____ 2___ 3_ 4____ 5____ 6______ 7 8 9__ 10__ 11________ 12_____ 13_ 14_____ 15__ 16______ 17_______ 18 19___ 20____ 21 22___ 23 24___ 25________ 26_ 27 28________ 29___ 30___ 31_________ 32

Chunks:
  TruePositive nam [1,1] = Ahmet (confidence=0.98)

(ChunkerEvaluator) Sentence #424 from 00101616 from sent19

Text  : Ubrany był w kaftan wyszywany złotem , pas zręcznie owinięty odznaczał muskularną jego budowę ;_ na głowie miał fez i_ na nogach buty safianowe ._
Tokens: 1_____ 2__ 3 4_____ 5________ 6_____ 7 8__ 9_______ 10______ 11_______ 12________ 13__ 14____ 15 16 17____ 18__ 19_ 20 21 22____ 23__ 24_______ 25

Chunks:

(ChunkerEvaluator) Sentence #425 from 00101616 from sent20

Text  : W stroju tym bardzo mu było do twarzy .
Tokens: 1 2_____ 3__ 4_____ 5_ 6___ 7_ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #426 from 00101616 from sent21

Text  : Zaledwie przywitał się z narzeczoną , Nedia zapytała :
Tokens: 1_______ 2________ 3__ 4 5_________ 6 7____ 8_______ 9

Chunks:
  TruePositive nam [7,7] = Nedia (confidence=0.99)

(ChunkerEvaluator) Sentence #427 from 00101616 from sent22

Text  : – I cóż , panie , czy jest list z_ Konstantynopola ?_
Tokens: 1 2 3__ 4 5____ 6 7__ 8___ 9___ 10 11_____________ 12

Chunks:
  TruePositive nam [11,11] = Konstantynopola (confidence=0.98)

(ChunkerEvaluator) Sentence #428 from 00101616 from sent23

Text  : – Nie , odrzekł , nie ma nawet od stryja zwykłej handlowej korespondencyi ._
Tokens: 1 2__ 3 4______ 5 6__ 7_ 8____ 9_ 10____ 11_____ 12_______ 13____________ 14

Chunks:

(ChunkerEvaluator) Sentence #429 from 00101616 from sent24

Text  : – Szkaradnik jakiś !
Tokens: 1 2_________ 3____ 4

Chunks:

(ChunkerEvaluator) Sentence #430 from 00101616 from sent25

Text  : krzyknęła cyganeczka .
Tokens: 1________ 2_________ 3

Chunks:
  FalseNegative nam [2,2] = cyganeczka

(ChunkerEvaluator) Sentence #431 from 00101616 from sent26

Text  : – Nie mogę pojąć dlaczego kuryer żadnej nie przywiózł wiadomości z_ kantoru ,_ odezwał się Ahmet ._
Tokens: 1 2__ 3___ 4____ 5_______ 6_____ 7_____ 8__ 9________ 10________ 11 12_____ 13 14_____ 15_ 16___ 17

Chunks:
  TruePositive nam [16,16] = Ahmet (confidence=1.00)

(ChunkerEvaluator) Sentence #432 from 00101616 from sent27

Text  : Dziś właśnie jest dzień w którym stryj ma zwyczaj regulować rachunki z_ bankiem twego Ojca ;_ terminu tego nie chybia nigdy ,_ a_ jednak dziś żaden nawet list nie przyszedł ._
Tokens: 1___ 2______ 3___ 4____ 5 6_____ 7____ 8_ 9______ 10_______ 11______ 12 13_____ 14___ 15__ 16 17_____ 18__ 19_ 20____ 21___ 22 23 24____ 25__ 26___ 27___ 28__ 29_ 30_______ 31

Chunks:

2017-06-14 20:35:34,793 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 31 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101705.xml
(ChunkerEvaluator) Sentence #433 from 00101705 from sent1

Text  : W poniedziałkowym programie o książkach w telewizji publicznej poinformowano m_ ._ in ._ o_ uroczystości wręczenia nagrody Nike ._
Tokens: 1 2______________ 3________ 4 5________ 6 7________ 8_________ 9____________ 10 11 12 13 14 15__________ 16_______ 17_____ 18__ 19

Chunks:
  FalsePositive nam [18,18] = Nike (confidence=0.95) (incorrect boundry)
  FalseNegative nam [17,18] = nagrody Nike

(ChunkerEvaluator) Sentence #434 from 00101705 from sent2

Text  : Werdykt uzasadniali członkowie jury – Henryk Bereza ( przewodniczący )_ i_ Izabela Cywińska ._
Tokens: 1______ 2__________ 3_________ 4___ 5 6_____ 7_____ 8 9_____________ 10 11 12_____ 13______ 14

Chunks:
  TruePositive nam [6,7] = Henryk Bereza (confidence=1.00)
  TruePositive nam [12,13] = Izabela Cywińska (confidence=1.00)

(ChunkerEvaluator) Sentence #435 from 00101705 from sent3

Text  : Z drugiej strony autorzy programu i zaproszeni krytycy z „_ Wprost ”_ i_ „_ Rzeczpospolitej ”_ wyjaśnili obszernie ,_ dlaczego –_ po pierwsze –_ pisarstwo Doroty Masłowskiej nie jest warte nagród literackich oraz –_ po drugie –_ dlaczego Bereza ma zły wpływ na literaturę polską ._
Tokens: 1 2______ 3_____ 4______ 5_______ 6 7_________ 8______ 9 10 11____ 12 13 14 15_____________ 16 17_______ 18_______ 19 20______ 21 22 23______ 24 25_______ 26____ 27_________ 28_ 29__ 30___ 31____ 32_________ 33__ 34 35 36____ 37 38______ 39____ 40 41_ 42___ 43 44________ 45____ 46

Chunks:
  TruePositive nam [15,15] = Rzeczpospolitej (confidence=1.00)
  TruePositive nam [26,27] = Doroty Masłowskiej (confidence=1.00)
  TruePositive nam [39,39] = Bereza (confidence=1.00)
  FalseNegative nam [11,11] = Wprost

(ChunkerEvaluator) Sentence #436 from 00101705 from sent4

Text  : Później – rozmowa z Salmanem Rushdiem nagrana w Łazienkach Królewskich ._
Tokens: 1______ 2 3______ 4 5_______ 6_______ 7______ 8 9_________ 10_________ 11

Chunks:
  TruePositive nam [5,6] = Salmanem Rushdiem (confidence=1.00)
  TruePositive nam [9,10] = Łazienkach Królewskich (confidence=1.00)

(ChunkerEvaluator) Sentence #437 from 00101705 from sent5

Text  : Dlaczego pisarz Rushdie , mieszkający na stałe w Nowym Jorku ,_ znalazł się nagle akurat w_ Warszawie ?_
Tokens: 1_______ 2_____ 3______ 4 5__________ 6_ 7____ 8 9____ 10___ 11 12_____ 13_ 14___ 15____ 16 17_______ 18

Chunks:
  TruePositive nam [3,3] = Rushdie (confidence=1.00)
  TruePositive nam [9,10] = Nowym Jorku (confidence=1.00)
  TruePositive nam [17,17] = Warszawie (confidence=1.00)

(ChunkerEvaluator) Sentence #438 from 00101705 from sent6

Text  : Nie sposób było się nawet domyślić .
Tokens: 1__ 2_____ 3___ 4__ 5____ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #439 from 00101705 from sent7

Text  : Bo chyba nie przyjechał na Nike ?
Tokens: 1_ 2____ 3__ 4_________ 5_ 6___ 7

Chunks:
  TruePositive nam [6,6] = Nike (confidence=0.99)

(ChunkerEvaluator) Sentence #440 from 00101705 from sent8

Text  : Zresztą co to jest Nike ?
Tokens: 1______ 2_ 3_ 4___ 5___ 6

Chunks:
  TruePositive nam [5,5] = Nike (confidence=0.99)

(ChunkerEvaluator) Sentence #441 from 00101705 from sent9

Text  : Kto i za co ją przyznaje ?
Tokens: 1__ 2 3_ 4_ 5_ 6________ 7

Chunks:

(ChunkerEvaluator) Sentence #442 from 00101705 from sent10

Text  : Ale najciekawsze rzeczy działy się dopiero w finale , podczas dyskusji o_ tomie Czesława Miłosza „_ Wiersze ostatnie ”_ ._
Tokens: 1__ 2___________ 3_____ 4_____ 5__ 6______ 7 8_____ 9 10_____ 11______ 12 13___ 14______ 15_____ 16 17_____ 18______ 19 20

Chunks:
  TruePositive nam [14,15] = Czesława Miłosza (confidence=0.99)
  TruePositive nam [17,18] = Wiersze ostatnie (confidence=0.60)

(ChunkerEvaluator) Sentence #443 from 00101705 from sent11

Text  : Kiedy prowadząca audycję Magdalena Miecznicka stwierdziła , że Czesław Miłosz był zachwycony sam sobą ,_ zdziwił się Andrzej Franaszek ,_ biograf i_ edytor dzieł poety ._
Tokens: 1____ 2_________ 3______ 4________ 5_________ 6__________ 7 8_ 9______ 10____ 11_ 12________ 13_ 14__ 15 16_____ 17_ 18_____ 19_______ 20 21_____ 22 23____ 24___ 25___ 26

Chunks:
  TruePositive nam [4,5] = Magdalena Miecznicka (confidence=1.00)
  TruePositive nam [9,10] = Czesław Miłosz (confidence=1.00)
  TruePositive nam [18,19] = Andrzej Franaszek (confidence=1.00)

(ChunkerEvaluator) Sentence #444 from 00101705 from sent12

Text  : Miecznicka na potwierdzenie tej , przyznajmy , śmiałej tezy zacytowała fragment jednego z_ wierszy Miłosza ._
Tokens: 1_________ 2_ 3____________ 4__ 5 6_________ 7 8______ 9___ 10________ 11______ 12_____ 13 14_____ 15_____ 16

Chunks:
  TruePositive nam [1,1] = Miecznicka (confidence=0.54)
  TruePositive nam [15,15] = Miłosza (confidence=1.00)

(ChunkerEvaluator) Sentence #445 from 00101705 from sent13

Text  : Ale cytowała krótko , bo po paru strofach zawyrokowała po prostu ni mniej ,_ ni więcej ,_ że dalej są dłużyzny ._
Tokens: 1__ 2_______ 3_____ 4 5_ 6_ 7___ 8_______ 9___________ 10 11____ 12 13___ 14 15 16____ 17 18 19___ 20 21______ 22

Chunks:

(ChunkerEvaluator) Sentence #446 from 00101705 from sent14

Text  : Franaszek tylko głęboko westchnął i wzniósł oczy ku niebu ._
Tokens: 1________ 2____ 3______ 4________ 5 6______ 7___ 8_ 9____ 10

Chunks:
  FalseNegative nam [1,1] = Franaszek

(ChunkerEvaluator) Sentence #447 from 00101705 from sent15

Text  : Mylił się jednak ten , kto sądził , że to koniec atrakcji ._
Tokens: 1____ 2__ 3_____ 4__ 5 6__ 7_____ 8 9_ 10 11____ 12______ 13

Chunks:

(ChunkerEvaluator) Sentence #448 from 00101705 from sent16

Text  : Już po chwili drugi gospodarz programu Grzegorz Braun przypomniał ,_ że w_ ostatnich latach życia Czesław Miłosz był „_ zaangażowany politycznie ”_ ._
Tokens: 1__ 2_ 3_____ 4____ 5________ 6_______ 7_______ 8____ 9__________ 10 11 12 13_______ 14____ 15___ 16_____ 17____ 18_ 19 20__________ 21_________ 22 23

Chunks:
  TruePositive nam [7,8] = Grzegorz Braun (confidence=1.00)
  TruePositive nam [16,17] = Czesław Miłosz (confidence=1.00)

(ChunkerEvaluator) Sentence #449 from 00101705 from sent17

Text  : Zaskoczony Franaszek poprosił o szczegóły i je dostał .
Tokens: 1_________ 2________ 3_______ 4 5________ 6 7_ 8_____ 9

Chunks:
  TruePositive nam [2,2] = Franaszek (confidence=0.70)

(ChunkerEvaluator) Sentence #450 from 00101705 from sent18

Text  : Miłosz , wyjaśniał mu Grzegorz Braun , był „ kieszonkowym wieszczem »_ Gazety Wyborczej «_ ”_ ._
Tokens: 1_____ 2 3________ 4_ 5_______ 6____ 7 8__ 9 10__________ 11_______ 12 13____ 14_______ 15 16 17

Chunks:
  TruePositive nam [1,1] = Miłosz (confidence=0.90)
  TruePositive nam [5,6] = Grzegorz Braun (confidence=1.00)
  TruePositive nam [13,14] = Gazety Wyborczej (confidence=0.95)

(ChunkerEvaluator) Sentence #451 from 00101705 from sent19

Text  : Aż podskoczył em z zaciekawienia .
Tokens: 1_ 2_________ 3_ 4 5____________ 6

Chunks:

(ChunkerEvaluator) Sentence #452 from 00101705 from sent20

Text  : Co to zdanie miało znaczyć ?
Tokens: 1_ 2_ 3_____ 4____ 5______ 6

Chunks:

(ChunkerEvaluator) Sentence #453 from 00101705 from sent21

Text  : Czy Miłosz zdaniem Brauna był takim sobie wieszczem malutkim ?_
Tokens: 1__ 2_____ 3______ 4_____ 5__ 6____ 7____ 8________ 9_______ 10

Chunks:
  TruePositive nam [2,2] = Miłosz (confidence=0.99)
  TruePositive nam [4,4] = Brauna (confidence=0.97)

(ChunkerEvaluator) Sentence #454 from 00101705 from sent22

Text  : Ale co w takim razie ma do tego „ Gazeta ”_ ?_
Tokens: 1__ 2_ 3 4____ 5____ 6_ 7_ 8___ 9 10____ 11 12

Chunks:
  TruePositive nam [10,10] = Gazeta (confidence=1.00)

(ChunkerEvaluator) Sentence #455 from 00101705 from sent23

Text  : Czy Miłosz był jednak wieszczem , ale wyciąganym z kieszeni przez straszną „_ Gazetę ”_ (_ domyślam się )_ przy byle okazji ?_
Tokens: 1__ 2_____ 3__ 4_____ 5________ 6 7__ 8_________ 9 10______ 11___ 12______ 13 14____ 15 16 17______ 18_ 19 20__ 21__ 22____ 23

Chunks:
  TruePositive nam [2,2] = Miłosz (confidence=0.98)
  TruePositive nam [14,14] = Gazetę (confidence=1.00)

(ChunkerEvaluator) Sentence #456 from 00101705 from sent24

Text  : Odpowiedzi nie było .
Tokens: 1_________ 2__ 3___ 4

Chunks:

(ChunkerEvaluator) Sentence #457 from 00101705 from sent25

Text  : Dowiedział em się tylko , jak telewizja publiczna wyobraża sobie publicystykę kulturalną ._
Tokens: 1_________ 2_ 3__ 4____ 5 6__ 7________ 8________ 9_______ 10___ 11__________ 12________ 13

Chunks:

(ChunkerEvaluator) Sentence #458 from 00101705 from sent26

Text  : „ Stół z powyłamywanymi nogami ” w TVP 1 obejrzało 594 tys ._ widzów ,_ a_ retransmisję gali Nike w_ Polsacie (_ poniedziałek ,_ godz ._ 20 ._ 20 )_ –_ 417 tys ._ widzów (_ dane AGB Nielsen Media Research )_ ._
Tokens: 1 2___ 3 4_____________ 5_____ 6 7 8__ 9 10_______ 11_ 12_ 13 14____ 15 16 17__________ 18__ 19__ 20 21______ 22 23__________ 24 25__ 26 27 28 29 30 31 32_ 33_ 34 35____ 36 37__ 38_ 39_____ 40___ 41______ 42 43

Chunks:
  TruePositive nam [8,9] = TVP 1 (confidence=1.00)
  TruePositive nam [19,19] = Nike (confidence=0.99)
  TruePositive nam [21,21] = Polsacie (confidence=0.99)
  FalsePositive nam [38,41] = AGB Nielsen Media Research (confidence=1.00) (incorrect boundry)
  FalseNegative nam [2,5] = Stół z powyłamywanymi nogami

(ChunkerEvaluator) Sentence #459 from 00101705 from sent27

Text  : Mój komentarz : Śmiać się , czy płakać ?
Tokens: 1__ 2________ 3 4____ 5__ 6 7__ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #460 from 00101705 from sent28

Text  : Jednak – śmiać się .
Tokens: 1_____ 2 3____ 4__ 5

Chunks:

(ChunkerEvaluator) Sentence #461 from 00101705 from sent29

Text  : A propos : kiedy wprowadzono stan wojenny spotkał em –_ już będąc zupełnie na zewnątrz programu TV –_ starego kumpla ,_ jednego z_ dziennikarzy ówczesnej Redakcji Programów Wojskowych ;_ on ,_ oczywiście ,_ był „_ w_ środku ”_ (_ wyjaśniam ,_ że nic to dokładnie nie znaczy :_ był fajnym kolegą )_ ._
Tokens: 1 2_____ 3 4____ 5__________ 6___ 7______ 8______ 9_ 10 11_ 12___ 13______ 14 15______ 16______ 17 18 19_____ 20____ 21 22_____ 23 24__________ 25_______ 26______ 27_______ 28________ 29 30 31 32________ 33 34_ 35 36 37____ 38 39 40_______ 41 42 43_ 44 45_______ 46_ 47____ 48 49_ 50____ 51____ 52 53

Chunks:
  FalsePositive nam [17,17] = TV (confidence=0.97) (incorrect boundry)
  FalsePositive nam [26,28] = Redakcji Programów Wojskowych (confidence=0.54) (incorrect boundry)

(ChunkerEvaluator) Sentence #462 from 00101705 from sent30

Text  : Zapytał em – z pewnym przekąsem – czemu nowi szefowie TVP nie zrobili z_ miejsca jej prezesem jakiegoś generała ,_ tylko zostawili cywila ._
Tokens: 1______ 2_ 3 4 5_____ 6________ 7 8____ 9___ 10______ 11_ 12_ 13_____ 14 15_____ 16_ 17______ 18______ 19______ 20 21___ 22_______ 23____ 24

Chunks:
  TruePositive nam [11,11] = TVP (confidence=1.00)

(ChunkerEvaluator) Sentence #463 from 00101705 from sent31

Text  : Kumpel odparł : nie jesteśmy idiotami , przecież by ście nas w_ ciągu miesiąca rozstrzelali śmiechem ._
Tokens: 1_____ 2_____ 3 4__ 5_______ 6_______ 7 8_______ 9_ 10__ 11_ 12 13___ 14______ 15__________ 16______ 17

Chunks:

(ChunkerEvaluator) Sentence #464 from 00101705 from sent32

Text  : „ Oni ” nie byli idiotami .
Tokens: 1 2__ 3 4__ 5___ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #465 from 00101705 from sent33

Text  : Poniatno ?
Tokens: 1_______ 2

Chunks:

2017-06-14 20:35:34,928 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 32 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101749.xml
(ChunkerEvaluator) Sentence #466 from 00101749 from sent1

Text  : Cyniczny student otworzył portal z mapą nalotów , o którym czytał em kiedyś ,_ ale dopiero absurdalny tekst z_ częstochowskiej wyborczej zwrócił na ń_ moją uwagę ._
Tokens: 1_______ 2______ 3_______ 4_____ 5 6___ 7______ 8 9 10____ 11____ 12 13____ 14 15_ 16_____ 17________ 18___ 19 20_____________ 21_______ 22_____ 23 24 25__ 26___ 27

Chunks:

(ChunkerEvaluator) Sentence #467 from 00101749 from sent2

Text  : Strona ma promować używanie legalnego oprogramowania .
Tokens: 1_____ 2_ 3_______ 4_______ 5________ 6_____________ 7

Chunks:

(ChunkerEvaluator) Sentence #468 from 00101749 from sent3

Text  : Trochę jak mapa fotoradarów lub znaki z czarnym punktem ,_ które w_ tym kontekście powinny się oczywiście znajdować w_ większych skupiskach politechnicznych akademików ._
Tokens: 1_____ 2__ 3___ 4__________ 5__ 6____ 7 8______ 9______ 10 11___ 12 13_ 14________ 15_____ 16_ 17________ 18_______ 19 20_______ 21________ 22______________ 23________ 24

Chunks:

(ChunkerEvaluator) Sentence #469 from 00101749 from sent4

Text  : O ile mapa fotoradarów ma sens : tam gdzie fotoradar kierowca zwalnia i_ być może jest bezpieczniej ,_ podobnie działają czarne punkty ._
Tokens: 1 2__ 3___ 4__________ 5_ 6___ 7 8__ 9____ 10_______ 11______ 12_____ 13 14_ 15__ 16__ 17__________ 18 19______ 20______ 21____ 22____ 23

Chunks:

(ChunkerEvaluator) Sentence #470 from 00101749 from sent5

Text  : Ale mapa nalotów jako promocja legalnego oprogramowania ?
Tokens: 1__ 2___ 3______ 4___ 5_______ 6________ 7_____________ 8

Chunks:

(ChunkerEvaluator) Sentence #471 from 00101749 from sent6

Text  : Chyba w formie budzenia paranoi ?
Tokens: 1____ 2 3_____ 4_______ 5______ 6

Chunks:

(ChunkerEvaluator) Sentence #472 from 00101749 from sent7

Text  : Bo jeśli na ulicy Sienkiewicza , róg Ukrytej zgłoszono nalot ,_ to co zrobi pirat ?_
Tokens: 1_ 2____ 3_ 4____ 5___________ 6 7__ 8______ 9________ 10___ 11 12 13 14___ 15___ 16

Chunks:
  TruePositive nam [5,5] = Sienkiewicza (confidence=1.00)
  TruePositive nam [8,8] = Ukrytej (confidence=0.89)

(ChunkerEvaluator) Sentence #473 from 00101749 from sent8

Text  : Przejdzie z odtwarzaczem naładowanym nielegalnymi empetrójkami na drugą stronę ulicy ?_
Tokens: 1________ 2 3___________ 4__________ 5___________ 6___________ 7_ 8____ 9_____ 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #474 from 00101749 from sent9

Text  : Przebojem jest jednak to zgłoszenie .
Tokens: 1________ 2___ 3_____ 4_ 5_________ 6

Chunks:

(ChunkerEvaluator) Sentence #475 from 00101749 from sent10

Text  : Potwierdzone , bo notka z serwisu policji .
Tokens: 1___________ 2 3_ 4____ 5 6______ 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #476 from 00101749 from sent11

Text  : Ale policja nie podała ulicy , więc zmyślny zgłaszający zaznaczył siedzibę komendy wojewódzkiej ._
Tokens: 1__ 2______ 3__ 4_____ 5____ 6 7___ 8______ 9__________ 10_______ 11______ 12_____ 13__________ 14

Chunks:

(ChunkerEvaluator) Sentence #477 from 00101749 from sent12

Text  : Najciemniej jest pod latarnią ?
Tokens: 1__________ 2___ 3__ 4_______ 5

Chunks:

2017-06-14 20:35:34,972 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 33 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101766.xml
(ChunkerEvaluator) Sentence #478 from 00101766 from sent1

Text  : Z ciekawości napisał em nawet do kina Atom , ale być może zajęci byli chodzeniem do kina i_ nie doczekał em się odpowiedzi w_ sprawie foteli ._
Tokens: 1 2_________ 3______ 4_ 5____ 6_ 7___ 8___ 9 10_ 11_ 12__ 13____ 14__ 15________ 16 17__ 18 19_ 20______ 21 22_ 23________ 24 25_____ 26____ 27

Chunks:
  TruePositive nam [8,8] = Atom (confidence=0.99)

(ChunkerEvaluator) Sentence #479 from 00101766 from sent2

Text  : Nie wszystko stracone , w końcu nie każdy sprawdza spam codziennie ._
Tokens: 1__ 2_______ 3_______ 4 5 6____ 7__ 8____ 9_______ 10__ 11________ 12

Chunks:

(ChunkerEvaluator) Sentence #480 from 00101766 from sent3

Text  : Z tego jednak co zrozumiał em z jakichś występujących w_ sieci strzępów wypowiedzi właścicieli kina i_ przepisów o_ ochronie zabytków ,_ wymiana foteli jest możliwa jak najbardziej ,_ ale nie dość ,_ że trudna administracyjnie ,_ to jeszcze droga ,_ bo jak się konserwator zgodzi ,_ to tylko na nowoczesne antyki ._
Tokens: 1 2___ 3_____ 4_ 5________ 6_ 7 8______ 9____________ 10 11___ 12______ 13________ 14_________ 15__ 16 17_______ 18 19______ 20______ 21 22_____ 23____ 24__ 25_____ 26_ 27_________ 28 29_ 30_ 31__ 32 33 34____ 35______________ 36 37 38_____ 39___ 40 41 42_ 43_ 44_________ 45____ 46 47 48___ 49 50________ 51____ 52

Chunks:

(ChunkerEvaluator) Sentence #481 from 00101766 from sent4

Text  : Zresztą z tych kawałków informacji wynika , że sala istnieje od 1937 ,_ czyli obchodzi okrągłą rocznicę ,_ co mogło by stanowić dobry pretekst do namówienia jakiejś instytucji na małą dotację ._
Tokens: 1______ 2 3___ 4_______ 5_________ 6_____ 7 8_ 9___ 10______ 11 12__ 13 14___ 15______ 16_____ 17______ 18 19 20___ 21 22______ 23___ 24______ 25 26________ 27_____ 28________ 29 30__ 31_____ 32

Chunks:

(ChunkerEvaluator) Sentence #482 from 00101766 from sent5

Text  : Teraz jest oczywiście za późno , budżety na ten rok dawno zamknięte ,_ w_ piłkę w_ Atomie zagrać nie można ,_ elektrowni jądrowej też w_ Polsce nie mamy ._
Tokens: 1____ 2___ 3_________ 4_ 5____ 6 7______ 8_ 9__ 10_ 11___ 12_______ 13 14 15___ 16 17____ 18____ 19_ 20___ 21 22________ 23______ 24_ 25 26____ 27_ 28__ 29

Chunks:
  TruePositive nam [17,17] = Atomie (confidence=1.00)
  TruePositive nam [26,26] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #483 from 00101766 from sent6

Text  : Co do filmów i festiwalu .
Tokens: 1_ 2_ 3_____ 4 5________ 6

Chunks:

(ChunkerEvaluator) Sentence #484 from 00101766 from sent7

Text  : Z filmami jest tak , że nie wiadomo .
Tokens: 1 2______ 3___ 4__ 5 6_ 7__ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #485 from 00101766 from sent8

Text  : Próbował em sprawdzić , czy filmy się nie nadają do oglądania ,_ ale nie miałem karnetu i_ napięty grafik ,_ i_ na żaden film nie udało mi się na ostatnią chwilę kupić biletów ._
Tokens: 1_______ 2_ 3________ 4 5__ 6____ 7__ 8__ 9_____ 10 11_______ 12 13_ 14_ 15____ 16_____ 17 18_____ 19____ 20 21 22 23___ 24__ 25_ 26___ 27 28_ 29 30______ 31____ 32___ 33_____ 34

Chunks:

(ChunkerEvaluator) Sentence #486 from 00101766 from sent9

Text  : Obejrzał em więc dwa filmy ( plus jeden na Rynku ,_ więc się nie liczy )_ ,_ jeden dobry ,_ a_ drugi bardzo dobry ._
Tokens: 1_______ 2_ 3___ 4__ 5____ 6 7___ 8____ 9_ 10___ 11 12__ 13_ 14_ 15___ 16 17 18___ 19___ 20 21 22___ 23____ 24___ 25

Chunks:
  TruePositive nam [10,10] = Rynku (confidence=1.00)

(ChunkerEvaluator) Sentence #487 from 00101766 from sent10

Text  : Drugi ( Persepolis ) wejdzie nawet do dystrybucji , więc się będzie można naocznie przekonać ._
Tokens: 1____ 2 3_________ 4 5______ 6____ 7_ 8__________ 9 10__ 11_ 12____ 13___ 14______ 15_______ 16

Chunks:
  TruePositive nam [3,3] = Persepolis (confidence=1.00)

(ChunkerEvaluator) Sentence #488 from 00101766 from sent11

Text  : Kiedyś na pewno by m wolał każdy film zobaczyć w_ kinie ,_ teraz jednak nie chce mi się ,_ bo z_ jednej strony nie lubię kameralnych filmów oglądać w_ multipleksie ,_ z_ drugiej Atom też nie jest moim ulubionym kinem ._
Tokens: 1_____ 2_ 3____ 4_ 5 6____ 7____ 8___ 9_______ 10 11___ 12 13___ 14____ 15_ 16__ 17 18_ 19 20 21 22____ 23____ 24_ 25___ 26_________ 27____ 28_____ 29 30__________ 31 32 33_____ 34__ 35_ 36_ 37__ 38__ 39_______ 40___ 41

Chunks:
  FalseNegative nam [34,34] = Atom

(ChunkerEvaluator) Sentence #489 from 00101766 from sent12

Text  : A ponieważ raczej jest mało prawdopodobne , żeby m był jedyny taki wybredny ,_ więc jakby mi ktoś dał nielegalne kopie filmów ,_ na które się nie załapał em (_ swoją drogą do dystrybucji pewnie nie wejdą ,_ DVD w_ Polsce też ma małe szanse )_ ,_ to by m_ brał ,_ telewizor mi ładnie odbiera ._
Tokens: 1 2_______ 3_____ 4___ 5___ 6____________ 7 8___ 9 10_ 11____ 12__ 13______ 14 15__ 16___ 17 18__ 19_ 20________ 21___ 22____ 23 24 25___ 26_ 27_ 28_____ 29 30 31___ 32___ 33 34_________ 35____ 36_ 37___ 38 39_ 40 41____ 42_ 43 44__ 45____ 46 47 48 49 50 51__ 52 53_______ 54 55____ 56_____ 57

Chunks:
  TruePositive nam [41,41] = Polsce (confidence=0.98)
  FalseNegative nam [39,39] = DVD

(ChunkerEvaluator) Sentence #490 from 00101766 from sent13

Text  : Chodzi o to , że liczba osób , które zobaczyły by film w_ kinie ,_ gdyby miały lepszy wybór rodzajów kin jest pewnie na tyle duża ,_ że może warto się o_ nie starać bardziej ._
Tokens: 1_____ 2 3_ 4 5_ 6_____ 7___ 8 9____ 10_______ 11 12__ 13 14___ 15 16___ 17___ 18____ 19___ 20______ 21_ 22__ 23____ 24 25__ 26__ 27 28 29__ 30___ 31_ 32 33_ 34____ 35______ 36

Chunks:

2017-06-14 20:35:35,072 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 34 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101816.xml
(ChunkerEvaluator) Sentence #491 from 00101816 from sent1

Text  : Mecz reprezentacji piłkarskiej Polski , jest tekstem popkulturowym , pozwalającym konstruować Polakom swoją tożsamość narodową ,_ podtrzymuje ją i_ umacnia ,_ jak mało które wydarzenie ._
Tokens: 1___ 2____________ 3__________ 4_____ 5 6___ 7______ 8____________ 9 10__________ 11_________ 12_____ 13___ 14_______ 15______ 16 17_________ 18 19 20_____ 21 22_ 23__ 24___ 25________ 26

Chunks:
  TruePositive nam [4,4] = Polski (confidence=1.00)
  TruePositive nam [12,12] = Polakom (confidence=0.99)

(ChunkerEvaluator) Sentence #492 from 00101816 from sent2

Text  : Podkreślić warto , że im lepsze są wyniki naszej piłki kopanej ,_ tym silniej spektakl piłkarski „_ każe ”_ nam się identyfikować z_ innymi członkami naszej narodowej wspólnoty wyobrażonej ._
Tokens: 1_________ 2____ 3 4_ 5_ 6_____ 7_ 8_____ 9_____ 10___ 11_____ 12 13_ 14_____ 15______ 16_______ 17 18__ 19 20_ 21_ 22___________ 23 24____ 25_______ 26____ 27_______ 28_______ 29_________ 30

Chunks:

(ChunkerEvaluator) Sentence #493 from 00101816 from sent3

Text  : Identyfikacja ta występuje jeszcze przed pierwszym gwizdkiem .
Tokens: 1____________ 2_ 3________ 4______ 5____ 6________ 7________ 8

Chunks:

(ChunkerEvaluator) Sentence #494 from 00101816 from sent4

Text  : Oto rozpoczyna się studio sportowe , słyszymy słowa komentatora w_ stylu „_ już za chwilę starcie my przeciwko nim ”_ ._
Tokens: 1__ 2_________ 3__ 4_____ 5_______ 6 7_______ 8____ 9__________ 10 11___ 12 13_ 14 15____ 16_____ 17 18_______ 19_ 20 21

Chunks:

(ChunkerEvaluator) Sentence #495 from 00101816 from sent5

Text  : Według „ Pana z telewizji ” już zaraz zmierzą się nasze dwie odrębne wspólnoty ,_ a_ nie dwie 11 składające się z_ piłkarzy pochodzących z_ innych części globu ._
Tokens: 1_____ 2 3___ 4 5________ 6 7__ 8____ 9______ 10_ 11___ 12__ 13_____ 14_______ 15 16 17_ 18__ 19 20________ 21_ 22 23______ 24__________ 25 26____ 27____ 28___ 29

Chunks:

(ChunkerEvaluator) Sentence #496 from 00101816 from sent6

Text  : Nastąpi istne zderzenie narodów , walka na „ śmierć i_ życie ”_ ._
Tokens: 1______ 2____ 3________ 4______ 5 6____ 7_ 8 9_____ 10 11___ 12 13

Chunks:

(ChunkerEvaluator) Sentence #497 from 00101816 from sent7

Text  : Aby podkreślić różnice między nami a nimi , obserwujemy cały szereg rytuałów –_ odegranie hymnów ,_ wymiana proporczyków federacji piłkarskich ,_ sfilmowanie naszych kibiców oraz kibiców przyjezdnych ._
Tokens: 1__ 2_________ 3______ 4_____ 5___ 6 7___ 8 9__________ 10__ 11____ 12______ 13 14_______ 15____ 16 17_____ 18__________ 19_______ 20_________ 21 22_________ 23_____ 24_____ 25__ 26_____ 27__________ 28

Chunks:

(ChunkerEvaluator) Sentence #498 from 00101816 from sent8

Text  : Obydwie grupy , przystrojone oczywiście w odmienne barwy , pomachują kawałkami różnokolorowego materiału ._
Tokens: 1______ 2____ 3 4___________ 5_________ 6 7_______ 8____ 9 10_______ 11_______ 12_____________ 13_______ 14

Chunks:

(ChunkerEvaluator) Sentence #499 from 00101816 from sent9

Text  : Mecz się zaczyna , komentatorzy go przeżywają niemiłosiernie ( co chwilę wskazując na nas i_ ich )_ ._
Tokens: 1___ 2__ 3______ 4 5___________ 6_ 7_________ 8_____________ 9 10 11____ 12_______ 13 14_ 15 16_ 17 18

Chunks:

(ChunkerEvaluator) Sentence #500 from 00101816 from sent10

Text  : Piłkarze kopią , strzelają bramki i w zależności , do której siatki trafia piłka ,_ kibice Polscy reagują z_ ekstatyczną radością lub odwrotnie ,_ na ich twarzach widać oznaki smutku i_ przygnębienia ._
Tokens: 1_______ 2____ 3 4________ 5_____ 6 7 8_________ 9 10 11____ 12____ 13____ 14___ 15 16____ 17____ 18_____ 19 20_________ 21______ 22_ 23_______ 24 25 26_ 27______ 28___ 29____ 30____ 31 32___________ 33

Chunks:
  FalsePositive nam [17,17] = Polscy (confidence=0.56) (incorrect boundry)

(ChunkerEvaluator) Sentence #501 from 00101816 from sent11

Text  : Tłumy w pubach czy rodziny przed telewizorami , wszyscy czujemy się w_ tej chwili członkami naszej wspólnoty ,_ naszego narodu ._
Tokens: 1____ 2 3_____ 4__ 5______ 6____ 7___________ 8 9______ 10_____ 11_ 12 13_ 14____ 15_______ 16____ 17_______ 18 19_____ 20____ 21

Chunks:

(ChunkerEvaluator) Sentence #502 from 00101816 from sent12

Text  : Tak naprawdę to jemu kibicujemy , nie tym 11 osobom biegającym po boisku ._
Tokens: 1__ 2_______ 3_ 4___ 5_________ 6 7__ 8__ 9_ 10____ 11________ 12 13____ 14

Chunks:

(ChunkerEvaluator) Sentence #503 from 00101816 from sent13

Text  : Piłkarze bowiem to jedynie „ narzędzia ” ( jakże często zresztą wymieniane )_ ,_ które utożsamiają naszą wspólnotę ._
Tokens: 1_______ 2_____ 3_ 4______ 5 6________ 7 8 9____ 10____ 11_____ 12________ 13 14 15___ 16_________ 17___ 18_______ 19

Chunks:

(ChunkerEvaluator) Sentence #504 from 00101816 from sent14

Text  : Stawka jest bardzo duża – honor i wizerunek Polaków ._
Tokens: 1_____ 2___ 3_____ 4___ 5 6____ 7 8________ 9______ 10

Chunks:
  TruePositive nam [9,9] = Polaków (confidence=1.00)

(ChunkerEvaluator) Sentence #505 from 00101816 from sent15

Text  : Swoją drogą to dlatego w wypadku porażki często szukamy kozła ofiarnego ,_ w_ postaci któregoś z_ piłkarzy ._
Tokens: 1____ 2____ 3_ 4______ 5 6______ 7______ 8_____ 9______ 10___ 11_______ 12 13 14_____ 15______ 16 17______ 18

Chunks:

(ChunkerEvaluator) Sentence #506 from 00101816 from sent16

Text  : Świetnym przykładem może być Grzegorz Rasiak , obrzucany przez kibiców ,_ w_ związku ze swoją słabą ,_ „_ drewnianą ”_ grą ,_ takimi przezwiskami jak :_ „_ Drewnialdinho ”_ ,_ „_ Van der Drwal ”_ czy „_ Drewniana noga ”_ ._
Tokens: 1_______ 2_________ 3___ 4__ 5_______ 6_____ 7 8________ 9____ 10_____ 11 12 13_____ 14 15___ 16___ 17 18 19_______ 20 21_ 22 23____ 24__________ 25_ 26 27 28___________ 29 30 31 32_ 33_ 34___ 35 36_ 37 38_______ 39__ 40 41

Chunks:
  TruePositive nam [5,6] = Grzegorz Rasiak (confidence=1.00)
  TruePositive nam [28,28] = Drewnialdinho (confidence=0.99)
  TruePositive nam [32,34] = Van der Drwal (confidence=0.96)
  TruePositive nam [38,39] = Drewniana noga (confidence=0.77)

(ChunkerEvaluator) Sentence #507 from 00101816 from sent17

Text  : W wypadku sukcesu ( im trudniejszy był do ogrania przeciwnik ,_ tym odczuwamy go silniej )_ wynosimy naszych bohaterów niemal do rangi bogów (_ nawet jeśli Ci bohaterowie są czarnoskórzy i_ ewidentnie nie pochodzą z_ kraju nad Wisłą [_ patrz przypadek Olisadebe ]_ )_ ._
Tokens: 1 2______ 3______ 4 5_ 6__________ 7__ 8_ 9______ 10________ 11 12_ 13_______ 14 15_____ 16 17______ 18_____ 19_______ 20____ 21 22___ 23___ 24 25___ 26___ 27 28_________ 29 30__________ 31 32________ 33_ 34______ 35 36___ 37_ 38___ 39 40___ 41_______ 42_______ 43 44 45

Chunks:
  TruePositive nam [38,38] = Wisłą (confidence=0.99)
  TruePositive nam [42,42] = Olisadebe (confidence=0.95)

2017-06-14 20:35:35,175 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 35 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101841.xml
(ChunkerEvaluator) Sentence #508 from 00101841 from sent1

Text  : Prestiżowy amerykański tygodnik uhonorował w ten sposób internautów , którzy “_ kontrolują Erę Informacji ”_ ._
Tokens: 1_________ 2__________ 3_______ 4_________ 5 6__ 7_____ 8__________ 9 10____ 11 12________ 13_ 14________ 15 16

Chunks:
  FalsePositive nam [13,14] = Erę Informacji (confidence=0.88) (incorrect boundry)
  FalseNegative nam [8,8] = internautów

(ChunkerEvaluator) Sentence #509 from 00101841 from sent2

Text  : Tak , jesteśmy na najlepszej drodze , by stworzyć romantyczny mit rewolucji Web 2_ ._ 0_ ._
Tokens: 1__ 2 3_______ 4_ 5_________ 6_____ 7 8_ 9_______ 10_________ 11_ 12_______ 13_ 14 15 16 17

Chunks:
  FalsePositive nam [13,16] = Web 2 . 0 (confidence=1.00) (incorrect boundry)
  FalseNegative nam [13,17] = Web 2 . 0 .

(ChunkerEvaluator) Sentence #510 from 00101841 from sent3

Text  : Tak , istnieje ryzyko że to wszystko znów skończy się rozczarowaniem i_ pozycja wielkich korporacji wcale nie zostanie osłabiona ,_ a_ aktywność internautów będzie tylko napędzać zyski tradycyjnych strażników systemu ._
Tokens: 1__ 2 3_______ 4_____ 5_ 6_ 7_______ 8___ 9______ 10_ 11____________ 12 13_____ 14______ 15________ 16___ 17_ 18______ 19_______ 20 21 22_______ 23_________ 24____ 25___ 26______ 27___ 28__________ 29________ 30_____ 31

Chunks:
  FalseNegative nam [23,23] = internautów

(ChunkerEvaluator) Sentence #511 from 00101841 from sent4

Text  : Ale mimo wszystko cieszę się , że redakcja “ Time ”_ wydała taki właśnie werdykt -_ być może ktoś ,_ komu umknął fakt ,_ że internet wreszcie zaczyna spełniać pokładane w_ nim nadzieje ,_ dzięki zamieszaniu wokół tej nagrody uświadomi sobie skalę zmian ._
Tokens: 1__ 2___ 3_______ 4_____ 5__ 6 7_ 8_______ 9 10__ 11 12____ 13__ 14_____ 15_____ 16 17_ 18__ 19__ 20 21__ 22____ 23__ 24 25 26______ 27______ 28_____ 29______ 30_______ 31 32_ 33______ 34 35____ 36_________ 37___ 38_ 39_____ 40_______ 41___ 42___ 43___ 44

Chunks:
  TruePositive nam [10,10] = Time (confidence=0.96)
  TruePositive nam [26,26] = internet (confidence=0.93)

(ChunkerEvaluator) Sentence #512 from 00101841 from sent5

Text  : Zamiast z ruchami skupionymi wokół wielkich osobowości , mamy do czynienia z_ oddolną aktywnością milionów ludzi -_ na niespotykaną nigdy wcześniej skalę ._
Tokens: 1______ 2 3______ 4_________ 5____ 6_______ 7_________ 8 9___ 10 11_______ 12 13_____ 14_________ 15______ 16___ 17 18 19__________ 20___ 21_______ 22___ 23

Chunks:

(ChunkerEvaluator) Sentence #513 from 00101841 from sent6

Text  : Nie tylko konsumujemy , ale i tworzymy .
Tokens: 1__ 2____ 3__________ 4 5__ 6 7_______ 8

Chunks:

(ChunkerEvaluator) Sentence #514 from 00101841 from sent7

Text  : To nic , że z reguły są to tylko komentarze w_ sklepach internetowych czy proste produkcje multimedialne ._
Tokens: 1_ 2__ 3 4_ 5 6_____ 7_ 8_ 9____ 10________ 11 12______ 13___________ 14_ 15____ 16_______ 17___________ 18

Chunks:

2017-06-14 20:35:35,217 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 36 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101848.xml
(ChunkerEvaluator) Sentence #515 from 00101848 from sent1

Text  : Polska Wikipedia , po dodaniu artykułu o miejscowości Konradów ,_ liczy już 400 tysięcy haseł ._
Tokens: 1_____ 2________ 3 4_ 5______ 6_______ 7 8___________ 9_______ 10 11___ 12_ 13_ 14_____ 15___ 16

Chunks:
  TruePositive nam [1,2] = Polska Wikipedia (confidence=0.77)
  TruePositive nam [9,9] = Konradów (confidence=1.00)

(ChunkerEvaluator) Sentence #516 from 00101848 from sent2

Text  : Z kolei do działającego od siedmiu lat otwartego repozytorium tekstów naukowych PubMed dodano kilka tygodni temu milionowy artykuł ._
Tokens: 1 2____ 3_ 4___________ 5_ 6______ 7__ 8________ 9___________ 10_____ 11_______ 12____ 13____ 14___ 15_____ 16__ 17_______ 18_____ 19

Chunks:
  TruePositive nam [12,12] = PubMed (confidence=0.87)

(ChunkerEvaluator) Sentence #517 from 00101848 from sent3

Text  : Działające na zasadach Otwartego Dostępu repozytorium jest zasilane przez artykuły z_ 350 czasopism naukowych z_ zakresu nauk ścisłych i_ przyrodniczych ._
Tokens: 1_________ 2_ 3_______ 4________ 5______ 6___________ 7___ 8_______ 9____ 10______ 11 12_ 13_______ 14_______ 15 16_____ 17__ 18______ 19 20____________ 21

Chunks:

(ChunkerEvaluator) Sentence #518 from 00101848 from sent4

Text  : Heather Morrison publikuje szereg innych ciekawych metryk - zarówno na blogu ,_ jak i_ w_ postaci publicznie dostępnej tabeli w_ Google Spreadsheets ._
Tokens: 1______ 2_______ 3________ 4_____ 5_____ 6________ 7_____ 8 9______ 10 11___ 12 13_ 14 15 16_____ 17________ 18_______ 19____ 20 21____ 22__________ 23

Chunks:
  TruePositive nam [1,2] = Heather Morrison (confidence=1.00)
  TruePositive nam [21,22] = Google Spreadsheets (confidence=1.00)

(ChunkerEvaluator) Sentence #519 from 00101848 from sent5

Text  : Pokazują one przede wszystkim stały wzrost projektów opartych na idei wolnego dostępu do wiedzy ._
Tokens: 1_______ 2__ 3_____ 4________ 5____ 6_____ 7________ 8_______ 9_ 10__ 11_____ 12_____ 13 14____ 15

Chunks:

2017-06-14 20:35:35,244 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 37 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101849.xml
(ChunkerEvaluator) Sentence #520 from 00101849 from sent1

Text  : Creative Commons Polska oraz Koło Naukowe Własności Intelektualnej Wydziału Prawa i_ Administracji Uniwersytetu Warszawskiego organizują konferencję naukową zatytułowaną “_ Czy wolna kultura jest legalna ?_ Licencje Creative Commons w_ polskim prawie autorskim ”_ ._
Tokens: 1_______ 2______ 3_____ 4___ 5___ 6______ 7________ 8_____________ 9_______ 10___ 11 12___________ 13__________ 14___________ 15________ 16_________ 17_____ 18__________ 19 20_ 21___ 22_____ 23__ 24_____ 25 26______ 27______ 28_____ 29 30_____ 31____ 32_______ 33 34

Chunks:
  TruePositive nam [1,3] = Creative Commons Polska (confidence=0.95)
  FalsePositive nam [5,14] = Koło Naukowe Własności Intelektualnej Wydziału Prawa i Administracji Uniwersytetu Warszawskiego (confidence=1.00) (incorrect boundry)
  FalsePositive nam [26,32] = Licencje Creative Commons w polskim prawie autorskim (confidence=0.98) (incorrect boundry)
  FalseNegative nam [9,14] = Wydziału Prawa i Administracji Uniwersytetu Warszawskiego
  FalseNegative nam [20,32] = Czy wolna kultura jest legalna ? Licencje Creative Commons w polskim prawie autorskim

(ChunkerEvaluator) Sentence #521 from 00101849 from sent2

Text  : Konferencja odbędzie się w piątek , 25 kwietnia 2008 roku w_ Sali Senatu UW w_ Pałacu Kazimierzowskim (_ Krakowskie Przedmieście 26 /_ 28 )_ ,_ w_ godzinach 9_ ._ 00 -_ 17 ._ 00 ._
Tokens: 1__________ 2_______ 3__ 4 5_____ 6 7_ 8_______ 9___ 10__ 11 12__ 13____ 14 15 16____ 17_____________ 18 19________ 20__________ 21 22 23 24 25 26 27_______ 28 29 30 31 32 33 34 35

Chunks:
  TruePositive nam [16,17] = Pałacu Kazimierzowskim (confidence=0.99)
  TruePositive nam [19,20] = Krakowskie Przedmieście (confidence=0.99)
  FalsePositive nam [12,14] = Sali Senatu UW (confidence=1.00) (incorrect boundry)
  FalseNegative nam [12,13] = Sali Senatu
  FalseNegative nam [14,14] = UW

(ChunkerEvaluator) Sentence #522 from 00101849 from sent3

Text  : Udział w konferencji jest bezpłatny .
Tokens: 1_____ 2 3__________ 4___ 5________ 6

Chunks:

(ChunkerEvaluator) Sentence #523 from 00101849 from sent4

Text  : Tematem konferencji są zagadnienia prawne związane z licencjami Creative Commons -_ chcemy ,_ by konferencja była okazją do przedyskutowania funkcjonowania licencji w_ polskim prawie oraz omówienia istniejących problemów związanych z_ ich wykorzystywaniem ._
Tokens: 1______ 2__________ 3_ 4__________ 5_____ 6_______ 7 8_________ 9_______ 10_____ 11 12____ 13 14 15_________ 16__ 17____ 18 19______________ 20____________ 21______ 22 23_____ 24____ 25__ 26_______ 27__________ 28_______ 29________ 30 31_ 32______________ 33

Chunks:
  TruePositive nam [9,10] = Creative Commons (confidence=1.00)

(ChunkerEvaluator) Sentence #524 from 00101849 from sent5

Text  : W szczególności , w trakcie konferencji zaprezentujemy szkic wersji 3_ ._ 0_ polskich licencji Creative Commons ,_ przygotowany przez naszego koordynatora prawnego ._
Tokens: 1 2____________ 3 4 5______ 6__________ 7_____________ 8____ 9_____ 10 11 12 13______ 14______ 15______ 16_____ 17 18__________ 19___ 20_____ 21__________ 22______ 23

Chunks:
  TruePositive nam [15,16] = Creative Commons (confidence=1.00)

(ChunkerEvaluator) Sentence #525 from 00101849 from sent6

Text  : Do udziału w konferencji zaprosili śmy wykładowców akademickich , prawników oraz przedstawicieli organizacji zbiorowego zarządu ._
Tokens: 1_ 2______ 3 4__________ 5________ 6__ 7__________ 8___________ 9 10_______ 11__ 12_____________ 13_________ 14________ 15_____ 16

Chunks:

(ChunkerEvaluator) Sentence #526 from 00101849 from sent7

Text  : Mamy nadzieję , że konferencja będzie więc okazją do dyskusji na temat licencji Creative Commons wśród przedstawicieli różnych środowisk zainteresowanych prawami autorskimi ._
Tokens: 1___ 2_______ 3 4_ 5__________ 6_____ 7___ 8_____ 9_ 10______ 11 12___ 13______ 14______ 15_____ 16___ 17_____________ 18_____ 19_______ 20______________ 21_____ 22________ 23

Chunks:
  TruePositive nam [14,15] = Creative Commons (confidence=0.97)

(ChunkerEvaluator) Sentence #527 from 00101849 from sent8

Text  : Szczegółowe informacje znajdują się na stronie konferencji .
Tokens: 1__________ 2_________ 3_______ 4__ 5_ 6______ 7__________ 8

Chunks:

2017-06-14 20:35:35,292 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 38 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101877.xml
(ChunkerEvaluator) Sentence #528 from 00101877 from sent1

Text  : Klejenie opon
Tokens: 1_______ 2___

Chunks:

(ChunkerEvaluator) Sentence #529 from 00101877 from sent2

Text  : Przyklejanie opon do felg jest powszechnie stosowane w samochodach RC i_ zapobiega spadaniu opon w_ czasie jazdy ._
Tokens: 1___________ 2___ 3_ 4___ 5___ 6__________ 7________ 8 9__________ 10 11 12_______ 13______ 14__ 15 16____ 17___ 18

Chunks:

(ChunkerEvaluator) Sentence #530 from 00101877 from sent3

Text  : Czynność ta jest dosyć prosta , jednak przed jej wykonaniem warto zapoznać się z_ poniższymi radami ._
Tokens: 1_______ 2_ 3___ 4____ 5_____ 6 7_____ 8____ 9__ 10________ 11___ 12______ 13_ 14 15________ 16____ 17

Chunks:

(ChunkerEvaluator) Sentence #531 from 00101877 from sent4

Text  : Otwór w feldze
Tokens: 1____ 2 3_____

Chunks:

(ChunkerEvaluator) Sentence #532 from 00101877 from sent5

Text  : Jak łatwo zaobserwować , przy najechaniu na nierówność terenu opona modelu odkształca się ,_ a_ następnie samoczynnie powraca do oryginalnego kształtu ._
Tokens: 1__ 2____ 3___________ 4 5___ 6_________ 7_ 8_________ 9_____ 10___ 11____ 12________ 13_ 14 15 16_______ 17_________ 18_____ 19 20__________ 21______ 22

Chunks:

(ChunkerEvaluator) Sentence #533 from 00101877 from sent6

Text  : Dzięki temu przez cały czas przylega do podłoża maksymalnie dużą powierzchnią ,_ zapewniając najlepszą przyczepność ._
Tokens: 1_____ 2___ 3____ 4___ 5___ 6_______ 7_ 8______ 9__________ 10__ 11__________ 12 13_________ 14_______ 15__________ 16

Chunks:

(ChunkerEvaluator) Sentence #534 from 00101877 from sent7

Text  : Jednak aby było to możliwe , powietrze musi mieć możliwość swobodnego przepływu do i_ z_ wnętrza opony ._
Tokens: 1_____ 2__ 3___ 4_ 5______ 6 7________ 8___ 9___ 10_______ 11________ 12_______ 13 14 15 16_____ 17___ 18

Chunks:

(ChunkerEvaluator) Sentence #535 from 00101877 from sent8

Text  : Niestety z chwilą jej przyklejenia do felgi opona staje się szczelna ._
Tokens: 1_______ 2 3_____ 4__ 5___________ 6_ 7____ 8____ 9____ 10_ 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #536 from 00101877 from sent9

Text  : Aby temu zapobiec , przed przyklejeniem opony warto wywiercić w_ feldze otwór ,_ który umożliwi przepływ powietrza ._
Tokens: 1__ 2___ 3_______ 4 5____ 6____________ 7____ 8____ 9________ 10 11____ 12___ 13 14___ 15______ 16______ 17_______ 18

Chunks:

(ChunkerEvaluator) Sentence #537 from 00101877 from sent10

Text  : W zupełności wystarcza otwór o średnicy 2 mm .
Tokens: 1 2_________ 3________ 4____ 5 6_______ 7 8_ 9

Chunks:

(ChunkerEvaluator) Sentence #538 from 00101877 from sent11

Text  : Klej
Tokens: 1___

Chunks:

(ChunkerEvaluator) Sentence #539 from 00101877 from sent12

Text  : Do przyklejenia opon można użyć specjalnie do tego celu przeznaczonego kleju ._
Tokens: 1_ 2___________ 3___ 4____ 5___ 6_________ 7_ 8___ 9___ 10____________ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #540 from 00101877 from sent13

Text  : Jednak w zupełności wystarcza tańszy i łatwiej dostępny cyjanopan ._
Tokens: 1_____ 2 3_________ 4________ 5_____ 6 7______ 8_______ 9________ 10

Chunks:

(ChunkerEvaluator) Sentence #541 from 00101877 from sent14

Text  : Przygotowanie opony i felgi
Tokens: 1____________ 2____ 3 4____

Chunks:

(ChunkerEvaluator) Sentence #542 from 00101877 from sent15

Text  : Nowe opony są zazwyczaj pokryte środkiem ułatwiającym wyjęcie ich z_ formy ,_ dlatego koniecznie należy odtłuścić ich krawędzie alkoholem np ._ denaturatem ._
Tokens: 1___ 2____ 3_ 4________ 5______ 6_______ 7___________ 8______ 9__ 10 11___ 12 13_____ 14________ 15____ 16_______ 17_ 18_______ 19_______ 20 21 22_________ 23

Chunks:

(ChunkerEvaluator) Sentence #543 from 00101877 from sent16

Text  : Warto też w podobny sposób potraktować rynienki felgi .
Tokens: 1____ 2__ 3 4______ 5_____ 6__________ 7_______ 8____ 9

Chunks:

(ChunkerEvaluator) Sentence #544 from 00101877 from sent17

Text  : Klejenie
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #545 from 00101877 from sent18

Text  : Samo klejenie najłatwiej zrealizować w następujący sposób :
Tokens: 1___ 2_______ 3_________ 4__________ 5 6__________ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #546 from 00101877 from sent19

Text  : 1 . Zakładamy oponę na felgę .
Tokens: 1 2 3________ 4____ 5_ 6____ 7

Chunks:

(ChunkerEvaluator) Sentence #547 from 00101877 from sent20

Text  : Pamiętamy o włożeniu wkładki , jeśli mam zamiar takowej używać ._
Tokens: 1________ 2 3_______ 4______ 5 6____ 7__ 8_____ 9______ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #548 from 00101877 from sent21

Text  : 2 . Odchylamy oponę w jednym punkcie tak , aby odsłonić rynienkę ,_ wpuszczamy kroplę kleju i_ puszczamy oponę pozwalając jej wskoczyć na miejsce w_ rynience ._
Tokens: 1 2 3________ 4____ 5 6_____ 7______ 8__ 9 10_ 11______ 12______ 13 14________ 15____ 16___ 17 18_______ 19___ 20________ 21_ 22______ 23 24_____ 25 26______ 27

Chunks:

(ChunkerEvaluator) Sentence #549 from 00101877 from sent22

Text  : Uwaga : klej lubi w tym momencie prysnąć spod opony ,_ dlatego najlepiej robić to trzymając oponę klejoną strona od siebie i_ uważać przy tym na oczy ._
Tokens: 1____ 2 3___ 4___ 5 6__ 7_______ 8______ 9___ 10___ 11 12_____ 13_______ 14___ 15 16_______ 17___ 18_____ 19____ 20 21____ 22 23____ 24__ 25_ 26 27__ 28

Chunks:

(ChunkerEvaluator) Sentence #550 from 00101877 from sent23

Text  : Powtarzamy tę czynność w 4 – 6 punktach na obwodzie felgi ._
Tokens: 1_________ 2_ 3_______ 4 5 6 7 8_______ 9_ 10______ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #551 from 00101877 from sent24

Text  : 3 . Kładziemy oponę poziomo , klejona stroną do góry i_ pozwalamy aby klej rozlał się po całym obwodzie rynienki ._
Tokens: 1 2 3________ 4____ 5______ 6 7______ 8_____ 9_ 10__ 11 12_______ 13_ 14__ 15____ 16_ 17 18___ 19______ 20______ 21

Chunks:

(ChunkerEvaluator) Sentence #552 from 00101877 from sent25

Text  : 4 . Po wyschnięciu kleju powtarzamy czynność z drugiej strony felgi ._
Tokens: 1 2 3_ 4__________ 5____ 6_________ 7_______ 8 9______ 10____ 11___ 12

Chunks:

2017-06-14 20:35:35,377 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 39 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101936.xml
(ChunkerEvaluator) Sentence #553 from 00101936 from sent1

Text  : 4 ) nakładają na licencjobiorcę obowiązek niewykorzystywania licencjonowanych know -_ how lub praw własności przemysłowej na obszarze pokrywającym się z_ obszarami ,_ na których prowadzą działalność inni licencjobiorcy ;_
Tokens: 1 2 3________ 4_ 5_____________ 6________ 7_________________ 8_______________ 9___ 10 11_ 12_ 13__ 14_______ 15__________ 16 17______ 18__________ 19_ 20 21_______ 22 23 24_____ 25______ 26_________ 27__ 28____________ 29

Chunks:

(ChunkerEvaluator) Sentence #554 from 00101936 from sent2

Text  : 5 ) nakładają na licencjobiorcę obowiązek nieprowadzenia aktywnej sprzedaży towarów objętych licencją na obszarach ,_ na których prowadzą działalność inni licencjobiorcy ,_ w_ szczególności przez podejmowanie działań reklamowych lub promocyjnych skierowanych do nabywców mających siedzibę albo miejsce zamieszkania na tych obszarach ,_ tworzenie oddziałów lub organizowanie centrów dystrybucji na tych obszarach ;_
Tokens: 1 2 3________ 4_ 5_____________ 6________ 7_____________ 8_______ 9________ 10_____ 11______ 12______ 13 14_______ 15 16 17_____ 18______ 19_________ 20__ 21____________ 22 23 24___________ 25___ 26__________ 27_____ 28_________ 29_ 30__________ 31__________ 32 33______ 34______ 35______ 36__ 37_____ 38__________ 39 40__ 41_______ 42 43_______ 44_______ 45_ 46___________ 47_____ 48_________ 49 50__ 51_______ 52

Chunks:

(ChunkerEvaluator) Sentence #555 from 00101936 from sent3

Text  : 6 ) nakładają na licencjobiorcę obowiązek oznaczania towarów objętych licencją znakiem towarowym ,_ innym znakiem odróżniającym lub nazwą licencjodawcy w_ okresie obowiązywania porozumienia ,_ pod warunkiem że nie zakazują umieszczania informacji ,_ że licencjobiorca jest producentem towarów objętych licencją ;_
Tokens: 1 2 3________ 4_ 5_____________ 6________ 7_________ 8______ 9_______ 10______ 11_____ 12_______ 13 14___ 15_____ 16___________ 17_ 18___ 19___________ 20 21_____ 22___________ 23__________ 24 25_ 26_______ 27 28_ 29______ 30__________ 31________ 32 33 34____________ 35__ 36_________ 37_____ 38______ 39______ 40

Chunks:

(ChunkerEvaluator) Sentence #556 from 00101936 from sent4

Text  : 7 ) nakładają na licencjobiorcę obowiązek ograniczenia produkcji towarów objętych licencją do wielkości ,_ jaka jest konieczna do produkcji jego własnych towarów lub jaką licencjobiorca jest w_ stanie sprzedać jako integralną część ,_ część zamienną lub część w_ inny sposóbzwiązaną ze sprzedażą jego własnych towarów ,_ pod warunkiem że wielkość produkcji towarów objętych licencją jest dowolnie ustalana przez licencjobiorcę ._
Tokens: 1 2 3________ 4_ 5_____________ 6________ 7___________ 8________ 9______ 10______ 11______ 12 13_______ 14 15__ 16__ 17_______ 18 19_______ 20__ 21______ 22_____ 23_ 24__ 25____________ 26__ 27 28____ 29______ 30__ 31________ 32___ 33 34___ 35______ 36_ 37___ 38 39__ 40____________ 41 42_______ 43__ 44______ 45_____ 46 47_ 48_______ 49 50______ 51_______ 52_____ 53______ 54______ 55__ 56______ 57______ 58___ 59____________ 60

Chunks:

(ChunkerEvaluator) Sentence #557 from 00101936 from sent5

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #558 from 00101936 from sent6

Text  : Wyłączenie stosuje się również do porozumień zawierających postanowienia , które :_
Tokens: 1_________ 2______ 3__ 4______ 5_ 6_________ 7____________ 8____________ 9 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #559 from 00101936 from sent7

Text  : 1 ) nakładają na licencjobiorcę obowiązek nieujawniania całości lub części licencjonowanego know -_ how także po ustaniu porozumienia ,_ nie dłużej jednak niż przez okres ,_ w_ którym licencjonowane know -_ how jest niejawne ;_
Tokens: 1 2 3________ 4_ 5_____________ 6________ 7____________ 8______ 9__ 10____ 11______________ 12__ 13 14_ 15___ 16 17_____ 18__________ 19 20_ 21____ 22____ 23_ 24___ 25___ 26 27 28____ 29____________ 30__ 31 32_ 33__ 34______ 35

Chunks:

(ChunkerEvaluator) Sentence #560 from 00101936 from sent8

Text  : 2 ) nakładają na licencjobiorcę obowiązek nieudzielania sublicencji lub nieprzenoszenia praw i_ obowiązków wynikających z_ licencji na osoby trzecie ;_
Tokens: 1 2 3________ 4_ 5_____________ 6________ 7____________ 8__________ 9__ 10_____________ 11__ 12 13________ 14__________ 15 16______ 17 18___ 19_____ 20

Chunks:

(ChunkerEvaluator) Sentence #561 from 00101936 from sent9

Text  : 3 ) nakładają na licencjobiorcę obowiązek niekorzystania z licencjonowanych know -_ how lub praw własności przemysłowej po ustaniu porozumienia ,_ pod warunkiem że know -_ how pozostaje niejawne lub prawa własności przemysłowej nadal korzystają z_ ochrony ;_
Tokens: 1 2 3________ 4_ 5_____________ 6________ 7_____________ 8 9_______________ 10__ 11 12_ 13_ 14__ 15_______ 16__________ 17 18_____ 19__________ 20 21_ 22_______ 23 24__ 25 26_ 27_______ 28______ 29_ 30___ 31_______ 32__________ 33___ 34________ 35 36_____ 37

Chunks:

(ChunkerEvaluator) Sentence #562 from 00101936 from sent10

Text  : 4 ) nakładają na licencjobiorcę obowiązek udzielenia licencjodawcy licencji wzajemnej na wszelkie udoskonalenia lub nowe zastosowania towarów objętych licencją ,_ pod warunkiem że :_
Tokens: 1 2 3________ 4_ 5_____________ 6________ 7_________ 8____________ 9_______ 10_______ 11 12______ 13___________ 14_ 15__ 16__________ 17_____ 18______ 19______ 20 21_ 22_______ 23 24

Chunks:

2017-06-14 20:35:35,462 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 40 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00101961.xml
(ChunkerEvaluator) Sentence #563 from 00101961 from sent1

Text  : Zachęceni przełomowym pomysłem dystrybutorów DVD , do niekonwencjonalnej i wreszcie skutecznej walki z_ piractwem postanowili włączyć się również inni posiadacze praw autorskich ._
Tokens: 1________ 2__________ 3_______ 4____________ 5__ 6 7_ 8_________________ 9 10______ 11________ 12___ 13 14_______ 15_________ 16_____ 17_ 18_____ 19__ 20________ 21__ 22________ 23

Chunks:
  TruePositive nam [5,5] = DVD (confidence=0.95)

(ChunkerEvaluator) Sentence #564 from 00101961 from sent2

Text  : Śladem Filipa II do walki rzucili wszystkie siły .
Tokens: 1_____ 2_____ 3_ 4_ 5____ 6______ 7________ 8___ 9

Chunks:
  TruePositive nam [2,3] = Filipa II (confidence=0.98)

(ChunkerEvaluator) Sentence #565 from 00101961 from sent3

Text  : Wytwórnie płytowe sięgnęły po stare sprawdzone metody i do łask wróciła kaseta magnetofonowa ._
Tokens: 1________ 2______ 3_______ 4_ 5____ 6_________ 7_____ 8 9_ 10__ 11_____ 12____ 13___________ 14

Chunks:

(ChunkerEvaluator) Sentence #566 from 00101961 from sent4

Text  : Nowoczesne technologie produkcji pozwoliły jednak uzyskać taśmę wystarczająco cienką ,_ aby już po kilkunastu odtworzeniach rwała się na kawałki ._
Tokens: 1_________ 2__________ 3________ 4________ 5_____ 6______ 7____ 8____________ 9_____ 10 11_ 12_ 13 14________ 15___________ 16___ 17_ 18 19_____ 20

Chunks:

(ChunkerEvaluator) Sentence #567 from 00101961 from sent5

Text  : W ten sposób na nowo zdefiniowane zostało pojęcie remiksu ._
Tokens: 1 2__ 3_____ 4_ 5___ 6___________ 7______ 8______ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #568 from 00101961 from sent6

Text  : Temu wciągającemu zajęciu oddaje się nowe pokolenie słuchaczy muzyki ._
Tokens: 1___ 2___________ 3______ 4_____ 5__ 6___ 7________ 8________ 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #569 from 00101961 from sent7

Text  : Niełatwe zadanie czekało dystrybutorów muzyki w formie elektronicznej , ale i_ oni znaleźli sposób ._
Tokens: 1_______ 2______ 3______ 4____________ 5_____ 6 7_____ 8_____________ 9 10_ 11 12_ 13______ 14____ 15

Chunks:

(ChunkerEvaluator) Sentence #570 from 00101961 from sent8

Text  : DRM odczytujący odcisk palca w połączeniu z recytacją Odysei wspak umożliwia odsłuchanie całości utworu ._
Tokens: 1__ 2__________ 3_____ 4____ 5 6_________ 7 8________ 9_____ 10___ 11_______ 12_________ 13_____ 14____ 15

Chunks:
  TruePositive nam [9,9] = Odysei (confidence=0.99)

(ChunkerEvaluator) Sentence #571 from 00101961 from sent9

Text  : Prawdziwi melomani recytują także Iliadę , Eneidę , względnie inne klasyczne heksametry ._
Tokens: 1________ 2_______ 3_______ 4____ 5_____ 6 7_____ 8 9________ 10__ 11_______ 12________ 13

Chunks:
  TruePositive nam [5,5] = Iliadę (confidence=0.99)
  TruePositive nam [7,7] = Eneidę (confidence=0.99)

(ChunkerEvaluator) Sentence #572 from 00101961 from sent10

Text  : W celu ochrony przed greko - łacińską kakofonią coraz więcej osób nabywa przenośne odtwarzacze i_ zasila szeregi kupujących pliki muzyczne ._
Tokens: 1 2___ 3______ 4____ 5____ 6 7_______ 8________ 9____ 10____ 11__ 12____ 13_______ 14_________ 15 16____ 17_____ 18________ 19___ 20______ 21

Chunks:

(ChunkerEvaluator) Sentence #573 from 00101961 from sent11

Text  : Programy telewizyjne co 45 sekund przerywają plansze ostrzegające o karach za naruszenie prawa autorskiego ,_ równocześnie na wszystkich kanałach ._
Tokens: 1_______ 2__________ 3_ 4_ 5_____ 6_________ 7______ 8___________ 9 10____ 11 12________ 13___ 14_________ 15 16__________ 17 18________ 19______ 20

Chunks:

(ChunkerEvaluator) Sentence #574 from 00101961 from sent12

Text  : TV Trwam prezentuje po prostu treść piątego przykazania i ekskluzywne migawki z_ piekła ._
Tokens: 1_ 2____ 3_________ 4_ 5_____ 6____ 7______ 8__________ 9 10_________ 11_____ 12 13____ 14

Chunks:
  TruePositive nam [1,2] = TV Trwam (confidence=0.69)

(ChunkerEvaluator) Sentence #575 from 00101961 from sent13

Text  : Producenci gier komputerowych porozumieli się z producentami sprzętu i odwrócili dotychczasowy model biznesowy ._
Tokens: 1_________ 2___ 3____________ 4__________ 5__ 6 7___________ 8______ 9 10_______ 11___________ 12___ 13_______ 14

Chunks:

(ChunkerEvaluator) Sentence #576 from 00101961 from sent14

Text  : Teraz to nie konsole , ale gry sprzedawane są poniżej kosztów ,_ ale każde urządzenie niezbędne do ich uruchomienia (_ konsola ,_ karta graficzna )_ działa na zasadzie aparatu telefonicznego na kartę kredytową ._
Tokens: 1____ 2_ 3__ 4______ 5 6__ 7__ 8__________ 9_ 10_____ 11_____ 12 13_ 14___ 15________ 16_______ 17 18_ 19__________ 20 21_____ 22 23___ 24_______ 25 26____ 27 28______ 29_____ 30____________ 31 32___ 33_______ 34

Chunks:

(ChunkerEvaluator) Sentence #577 from 00101961 from sent15

Text  : Konieczność wyposażenia młodzieży szkolnej w odpowiednie karty spotkała się z_ przychylnym przyjęciem ze strony sektora bankowego ._
Tokens: 1__________ 2__________ 3________ 4_______ 5 6__________ 7____ 8_______ 9__ 10 11_________ 12________ 13 14____ 15_____ 16_______ 17

Chunks:

(ChunkerEvaluator) Sentence #578 from 00101961 from sent16

Text  : W kinach ostatecznie zrezygnowano z wyświetlania całych filmów na rzecz reklam i_ trailerów ._
Tokens: 1 2_____ 3__________ 4___________ 5 6___________ 7_____ 8_____ 9_ 10___ 11____ 12 13_______ 14

Chunks:

(ChunkerEvaluator) Sentence #579 from 00101961 from sent17

Text  : Wprawdzie nieznacznie spadła frekwencja , wzrosła za to sprzedaż popcornu ._
Tokens: 1________ 2__________ 3_____ 4_________ 5 6______ 7_ 8_ 9_______ 10______ 11

Chunks:

2017-06-14 20:35:35,539 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 41 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102017.xml
(ChunkerEvaluator) Sentence #580 from 00102017 from sent1

Text  : Zamieszanie związane z rzekomym " końcem świata " w 2012 roku wzięło się z_ niewłaściwego zrozumienia wiedzy pochodzącej z_ kalendarza Majów ._
Tokens: 1__________ 2_______ 3 4_______ 5 6_____ 7_____ 8 9 10__ 11__ 12____ 13_ 14 15___________ 16_________ 17____ 18_________ 19 20________ 21___ 22

Chunks:
  TruePositive nam [21,21] = Majów (confidence=0.89)

(ChunkerEvaluator) Sentence #581 from 00102017 from sent2

Text  : Za sprawą precesji Ziemi tak zwany punkt Barana ( zwany inaczej punktem równonocy )_ przesuwa się i_ wędruje przed kolejnymi gwiazdozbiorami ,_ jednak w_ przeciwną stronę niż znaki zodiaku ._
Tokens: 1_ 2_____ 3_______ 4____ 5__ 6____ 7____ 8_____ 9 10___ 11_____ 12_____ 13_______ 14 15______ 16_ 17 18_____ 19___ 20_______ 21_____________ 22 23____ 24 25_______ 26____ 27_ 28___ 29_____ 30

Chunks:
  TruePositive nam [4,4] = Ziemi (confidence=0.98)
  FalsePositive nam [8,8] = Barana (confidence=0.99) (incorrect boundry)
  FalseNegative nam [7,8] = punkt Barana

(ChunkerEvaluator) Sentence #582 from 00102017 from sent3

Text  : Zależnie od tego , na tle którego gwiazdozbioru aktualnie się on znajduje ,_ na Ziemi następuje kolejna Era ._
Tokens: 1_______ 2_ 3___ 4 5_ 6__ 7______ 8____________ 9________ 10_ 11 12______ 13 14 15___ 16_______ 17_____ 18_ 19

Chunks:
  TruePositive nam [15,15] = Ziemi (confidence=1.00)
  TruePositive nam [18,18] = Era (confidence=0.98)

(ChunkerEvaluator) Sentence #583 from 00102017 from sent4

Text  : Obecnie kończy się Era Ryb i zbliża się Era Wodnika Każda Era liczy w_ przybliżeniu 2000 -_ 2500 lat ._
Tokens: 1______ 2_____ 3__ 4__ 5__ 6 7_____ 8__ 9__ 10_____ 11___ 12_ 13___ 14 15__________ 16__ 17 18__ 19_ 20

Chunks:
  TruePositive nam [4,5] = Era Ryb (confidence=1.00)
  FalsePositive nam [9,12] = Era Wodnika Każda Era (confidence=1.00) (incorrect boundry)
  FalseNegative nam [9,10] = Era Wodnika
  FalseNegative nam [12,12] = Era

(ChunkerEvaluator) Sentence #584 from 00102017 from sent5

Text  : Pełny cykl obiegu Punktu Barana trwa 25 770 lat ._
Tokens: 1____ 2___ 3_____ 4_____ 5_____ 6___ 7_ 8__ 9__ 10

Chunks:
  TruePositive nam [4,5] = Punktu Barana (confidence=1.00)

(ChunkerEvaluator) Sentence #585 from 00102017 from sent6

Text  : Nasi uczeni ten okres nazywają " rokiem platońskim " ,_ Aztekowie "_ słońcem "_ ,_ a_ Majowie "_ ŚWIATEM "_ ._
Tokens: 1___ 2_____ 3__ 4____ 5_______ 6 7_____ 8_________ 9 10 11_______ 12 13_____ 14 15 16 17_____ 18 19_____ 20 21

Chunks:
  TruePositive nam [11,11] = Aztekowie (confidence=0.99)
  TruePositive nam [17,17] = Majowie (confidence=0.99)
  FalsePositive nam [19,19] = ŚWIATEM (confidence=0.80) (incorrect boundry)

(ChunkerEvaluator) Sentence #586 from 00102017 from sent7

Text  : Obecnie zbliżamy się do końca " świata " według kalendarza Majów ,_ czyli do końca nie tylko Ery Ryb ,_ ale całego roku platońskiego ._
Tokens: 1______ 2_______ 3__ 4_ 5____ 6 7_____ 8 9_____ 10________ 11___ 12 13___ 14 15___ 16_ 17___ 18_ 19_ 20 21_ 22____ 23__ 24__________ 25

Chunks:
  TruePositive nam [11,11] = Majów (confidence=0.90)
  TruePositive nam [18,19] = Ery Ryb (confidence=0.99)

(ChunkerEvaluator) Sentence #587 from 00102017 from sent8

Text  : Nie oznacza to wcale końca ludzkości , lecz koniec kolejnego ,_ liczącego ok ._ 26 000 lat cyklu ewolucyjnego ,_ którego początkiem (_ według Majów )_ były narodziny planety Wenus ._
Tokens: 1__ 2______ 3_ 4____ 5____ 6________ 7 8___ 9_____ 10_______ 11 12_______ 13 14 15 16_ 17_ 18___ 19__________ 20 21_____ 22________ 23 24____ 25___ 26 27__ 28_______ 29_____ 30___ 31

Chunks:
  TruePositive nam [25,25] = Majów (confidence=1.00)
  TruePositive nam [30,30] = Wenus (confidence=0.97)

(ChunkerEvaluator) Sentence #588 from 00102017 from sent9

Text  : Przejście do Nowej Ery ma przynieść światu i ludzkości wielką zmianę świadomości i_ znaczący przeskok cywilizacyjny ._
Tokens: 1________ 2_ 3____ 4__ 5_ 6________ 7_____ 8 9________ 10____ 11____ 12_________ 13 14______ 15______ 16___________ 17

Chunks:
  TruePositive nam [3,4] = Nowej Ery (confidence=0.97)

(ChunkerEvaluator) Sentence #589 from 00102017 from sent10

Text  : Wróżby Horoskopy do gazet wymyślają redaktorki , bo naczelny im kazał (_ za karę )_
Tokens: 1_____ 2________ 3_ 4____ 5________ 6_________ 7 8_ 9_______ 10 11___ 12 13 14__ 15

Chunks:

(ChunkerEvaluator) Sentence #590 from 00102017 from sent11

Text  : oto ukochany , koronny argument sceptyków , mający w ich mniemaniu skompromitować astrologię i_ dostarczyć ostatecznego dowodu na to ,_ że jest ona oszustwem ._
Tokens: 1__ 2_______ 3 4______ 5_______ 6________ 7 8_____ 9 10_ 11_______ 12____________ 13________ 14 15________ 16__________ 17____ 18 19 20 21 22__ 23_ 24_______ 25

Chunks:

(ChunkerEvaluator) Sentence #591 from 00102017 from sent12

Text  : Tak kochani sceptycy , tym razem muszę się z wami w_ pełni zgodzić !_
Tokens: 1__ 2______ 3_______ 4 5__ 6____ 7____ 8__ 9 10__ 11 12___ 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #592 from 00102017 from sent13

Text  : Macie 100 % racji : gazetowe horoskopy są wyssanymi z_ redaktorskiego palca fantastycznymi bajkami ,_ ale pisząc tak ,_ wbrew własnemu interesowi ,_ oczyszczacie astrologów z_ podejrzeń ,_ że mają oni cokolwiek wspólnego z_ tą dziedziną "_ tfu -_ rczości "_ ._
Tokens: 1____ 2__ 3 4____ 5 6_______ 7________ 8_ 9________ 10 11____________ 12___ 13____________ 14_____ 15 16_ 17____ 18_ 19 20___ 21______ 22________ 23 24__________ 25________ 26 27_______ 28 29 30__ 31_ 32_______ 33_______ 34 35 36_______ 37 38_ 39 40_____ 41 42

Chunks:

(ChunkerEvaluator) Sentence #593 from 00102017 from sent14

Text  : Uważacie się za tak inteligentnych , a nie zauważyli ście ,_ że tym sposobem strzelili ście sobie gola -_ samobója ._
Tokens: 1_______ 2__ 3_ 4__ 5_____________ 6 7 8__ 9________ 10__ 11 12 13_ 14______ 15_______ 16__ 17___ 18__ 19 20______ 21

Chunks:

(ChunkerEvaluator) Sentence #594 from 00102017 from sent15

Text  : Haczyk na głuptasów tkwi w tym , że gazetowe horoskopy nie są astrologią i_ rzeczywiście najczęściej są pisane przez osoby ,_ które nie mają o_ astrologii zielonego pojęcia ._
Tokens: 1_____ 2_ 3________ 4___ 5 6__ 7 8_ 9_______ 10_______ 11_ 12 13________ 14 15__________ 16_________ 17 18____ 19___ 20___ 21 22___ 23_ 24__ 25 26________ 27_______ 28_____ 29

Chunks:

(ChunkerEvaluator) Sentence #595 from 00102017 from sent16

Text  : Potwierdza to swoim naukowym autorytetem sam Richard Dawkins , wasz nieomylny ,_ ateistyczny guru ._
Tokens: 1_________ 2_ 3____ 4_______ 5__________ 6__ 7______ 8______ 9 10__ 11_______ 12 13_________ 14__ 15

Chunks:
  TruePositive nam [7,8] = Richard Dawkins (confidence=1.00)

2017-06-14 20:35:35,634 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 42 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102022.xml
(ChunkerEvaluator) Sentence #596 from 00102022 from sent1

Text  : Bogumił Luft , jeden z filarów publicystycznych „ Rzeczpospolitej ”_ już w_ niej nie pracuje :_ jak poinformował dzisiaj w_ „_ Loży prasowej „_ ,_ popularnym programie komentatorskim TVN24 prowadzonym przez sympatyczną ,_ spokojną i_ kompetentną Małgorzatę Łaszcz ,_ odszedł z_ zespołu ._
Tokens: 1______ 2___ 3 4____ 5 6______ 7_______________ 8 9______________ 10 11_ 12 13__ 14_ 15_____ 16 17_ 18__________ 19_____ 20 21 22__ 23______ 24 25 26________ 27_______ 28____________ 29___ 30_________ 31___ 32_________ 33 34______ 35 36_________ 37________ 38____ 39 40_____ 41 42_____ 43

Chunks:
  TruePositive nam [1,2] = Bogumił Luft (confidence=1.00)
  TruePositive nam [9,9] = Rzeczpospolitej (confidence=1.00)
  TruePositive nam [29,29] = TVN24 (confidence=0.75)
  TruePositive nam [37,38] = Małgorzatę Łaszcz (confidence=1.00)
  FalsePositive nam [22,22] = Loży (confidence=0.84) (incorrect boundry)
  FalseNegative nam [22,23] = Loży prasowej

(ChunkerEvaluator) Sentence #597 from 00102022 from sent2

Text  : Jednocześnie nadeszła informacja o masowych zwolnieniach w „ Rzepie ”_ ,_ prowadzonych przez nowego ultraprawicowego i_ ultrakatolickiego naczelnego ,_ Pawła Lisickiego ._
Tokens: 1___________ 2_______ 3_________ 4 5_______ 6___________ 7 8 9_____ 10 11 12__________ 13___ 14____ 15______________ 16 17_______________ 18________ 19 20___ 21________ 22

Chunks:
  TruePositive nam [9,9] = Rzepie (confidence=0.98)
  TruePositive nam [20,21] = Pawła Lisickiego (confidence=1.00)

(ChunkerEvaluator) Sentence #598 from 00102022 from sent3

Text  : Poniżej ta informacja .
Tokens: 1______ 2_ 3_________ 4

Chunks:

(ChunkerEvaluator) Sentence #599 from 00102022 from sent4

Text  : 49 pracowników „ Rzeczpospolitej ” – dziennikarzy i pracowników nie będących dziennikarzami –_ będzie musiało odejść z_ gazety ._
Tokens: 1_ 2__________ 3 4______________ 5 6 7___________ 8 9__________ 10_ 11______ 12____________ 13 14____ 15_____ 16____ 17 18____ 19

Chunks:
  TruePositive nam [4,4] = Rzeczpospolitej (confidence=1.00)

(ChunkerEvaluator) Sentence #600 from 00102022 from sent5

Text  : Zwalniane osoby dostaną 3 miesięczne odprawy w zamian za odejście z_ gazety za porozumieniem stron ._
Tokens: 1________ 2____ 3______ 4 5_________ 6______ 7 8_____ 9_ 10______ 11 12____ 13 14___________ 15___ 16

Chunks:

(ChunkerEvaluator) Sentence #601 from 00102022 from sent6

Text  : Jest „ redukcja zatrudnienia ” w dzienniku – potwierdził szef związku „_ Solidarność ”_ Piotr Kościński ._
Tokens: 1___ 2 3_______ 4___________ 5 6 7________ 8 9__________ 10__ 11_____ 12 13_________ 14 15___ 16_______ 17

Chunks:
  TruePositive nam [13,13] = Solidarność (confidence=0.99)
  TruePositive nam [15,16] = Piotr Kościński (confidence=1.00)

(ChunkerEvaluator) Sentence #602 from 00102022 from sent7

Text  : Wyjaśnił , że wydawca – spółka Presspublika – podał jako powód zwolnień trudną sytuację ekonomiczną spółki ._
Tokens: 1_______ 2 3_ 4______ 5 6_____ 7___________ 8 9____ 10__ 11___ 12______ 13____ 14______ 15_________ 16____ 17

Chunks:
  TruePositive nam [7,7] = Presspublika (confidence=0.93)

(ChunkerEvaluator) Sentence #603 from 00102022 from sent8

Text  : Zwolnienia nie dotyczą tylko dziennikarzy .
Tokens: 1_________ 2__ 3______ 4____ 5___________ 6

Chunks:

(ChunkerEvaluator) Sentence #604 from 00102022 from sent9

Text  : W wydawnictwie pracuje obecnie 540 - 550 osób .
Tokens: 1 2___________ 3______ 4______ 5__ 6 7__ 8___ 9

Chunks:

(ChunkerEvaluator) Sentence #605 from 00102022 from sent10

Text  : Kościński poinformował , że „ Solidarność ” prowadziła negocjacje w_ sprawie zwolnień ,_ które zostały zakończone podpisaniem porozumienia ._
Tokens: 1________ 2___________ 3 4_ 5 6__________ 7 8_________ 9_________ 10 11_____ 12______ 13 14___ 15_____ 16________ 17_________ 18__________ 19

Chunks:
  TruePositive nam [1,1] = Kościński (confidence=0.81)
  TruePositive nam [6,6] = Solidarność (confidence=0.99)

(ChunkerEvaluator) Sentence #606 from 00102022 from sent11

Text  : Ustalono , że w wyniku „ programu dobrowolnych odejść ”_ opuści redakcję 49 osób ._
Tokens: 1_______ 2 3_ 4 5_____ 6 7_______ 8___________ 9_____ 10 11____ 12______ 13 14__ 15

Chunks:

(ChunkerEvaluator) Sentence #607 from 00102022 from sent12

Text  : Otrzymają oni oprócz normalnej odprawy – tj . od 1_ do 3_ pensji w_ zależności od stażu pracy –_ ekstra 3_ -_ miesięczną odprawę ._
Tokens: 1________ 2__ 3_____ 4________ 5______ 6 7_ 8 9_ 10 11 12 13____ 14 15________ 16 17___ 18___ 19 20____ 21 22 23________ 24_____ 25

Chunks:

(ChunkerEvaluator) Sentence #608 from 00102022 from sent13

Text  : Wśród zwolnionych znajdują się m . in . Sławomir Popowski ,_ Szymon Hołownia i_ Jan Ordyński ._
Tokens: 1____ 2__________ 3_______ 4__ 5 6 7_ 8 9_______ 10______ 11 12____ 13______ 14 15_ 16______ 17

Chunks:
  TruePositive nam [9,10] = Sławomir Popowski (confidence=1.00)
  TruePositive nam [12,13] = Szymon Hołownia (confidence=1.00)
  TruePositive nam [15,16] = Jan Ordyński (confidence=0.99)

(ChunkerEvaluator) Sentence #609 from 00102022 from sent14

Text  : Według przewodniczącego Związku , ponadto z gazety odejdzie kilka osób na wcześniejszą emeryturę ,_ a_ części dziennikarzy nie zostaną przedłużone czasowe umowy o_ pracę ._
Tokens: 1_____ 2_______________ 3______ 4 5______ 6 7_____ 8_______ 9____ 10__ 11 12__________ 13_______ 14 15 16____ 17__________ 18_ 19_____ 20_________ 21_____ 22___ 23 24___ 25

Chunks:
  FalsePositive nam [3,3] = Związku (confidence=0.98) (incorrect boundry)

(ChunkerEvaluator) Sentence #610 from 00102022 from sent15

Text  : Kościński zaznaczył , że zwolnienia przewidziane są w dwóch grupach ,_ pierwsza już dostała wypowiedzenia ,_ druga otrzyma je w_ listopadzie ._
Tokens: 1________ 2________ 3 4_ 5_________ 6___________ 7_ 8 9____ 10_____ 11 12______ 13_ 14_____ 15___________ 16 17___ 18_____ 19 20 21_________ 22

Chunks:
  TruePositive nam [1,1] = Kościński (confidence=0.91)

(ChunkerEvaluator) Sentence #611 from 00102022 from sent16

Text  : Na temat zwolnień nie chciał rozmawiać wiceprezes zarządu spółki Andrzej Filipowicz -_ Ja nie wypowiadam się na ten temat ,_ proszę rozmawiać z_ prezesem Velgaardem -_ powiedział w_ rozmowie telefonicznej ._
Tokens: 1_ 2____ 3_______ 4__ 5_____ 6________ 7_________ 8______ 9_____ 10_____ 11________ 12 13 14_ 15________ 16_ 17 18_ 19___ 20 21____ 22_______ 23 24______ 25________ 26 27________ 28 29______ 30___________ 31

Chunks:
  TruePositive nam [10,11] = Andrzej Filipowicz (confidence=1.00)
  TruePositive nam [25,25] = Velgaardem (confidence=1.00)

(ChunkerEvaluator) Sentence #612 from 00102022 from sent17

Text  : Od odpowiedzi na ten temat uchylił się także redaktor naczelny Rzeczpospolitej Paweł Lisicki ,_ potwierdził tylko ,_ że z_ gazety ma odejść 49 osób ._
Tokens: 1_ 2_________ 3_ 4__ 5____ 6______ 7__ 8____ 9_______ 10______ 11_____________ 12___ 13_____ 14 15_________ 16___ 17 18 19 20____ 21 22____ 23 24__ 25

Chunks:
  TruePositive nam [11,11] = Rzeczpospolitej (confidence=1.00)
  TruePositive nam [12,13] = Paweł Lisicki (confidence=0.69)

(ChunkerEvaluator) Sentence #613 from 00102022 from sent18

Text  : Mój komentarz : proponuję „ Rzepie ” nowy tytuł ;_ a_ może nawet dwa do wyboru :_ „_ IV Rzeczpospolita ”_ albo „_ Prawicowa Rzeczpospolita Katolicka ,_ alleluja i_ do przodu
Tokens: 1__ 2________ 3 4________ 5 6_____ 7 8___ 9____ 10 11 12__ 13___ 14_ 15 16____ 17 18 19 20____________ 21 22__ 23 24_______ 25____________ 26_______ 27 28______ 29 30 31____

Chunks:
  TruePositive nam [6,6] = Rzepie (confidence=1.00)
  TruePositive nam [19,20] = IV Rzeczpospolita (confidence=0.86)
  FalsePositive nam [24,26] = Prawicowa Rzeczpospolita Katolicka (confidence=0.99) (incorrect boundry)
  FalseNegative nam [24,31] = Prawicowa Rzeczpospolita Katolicka , alleluja i do przodu

2017-06-14 20:35:35,734 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 43 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102036.xml
(ChunkerEvaluator) Sentence #614 from 00102036 from sent1

Text  : Został em człowiekiem roku wg Time ; - )
Tokens: 1_____ 2_ 3__________ 4___ 5_ 6___ 7 8 9

Chunks:
  TruePositive nam [6,6] = Time (confidence=0.99)

(ChunkerEvaluator) Sentence #615 from 00102036 from sent2

Text  : Niestety , tytułem tym muszę się podzielić z pozostałym miliardem użytkowników sieci ._
Tokens: 1_______ 2 3______ 4__ 5____ 6__ 7________ 8 9_________ 10_______ 11__________ 12___ 13

Chunks:

(ChunkerEvaluator) Sentence #616 from 00102036 from sent3

Text  : Time ogłosił , że w tym roku to internauci en masse zasługują na pozytywne wyróżnienie ,_ a_ na stronie głównej Time.com czytamy :_ "_ Człowiekiem roku jesteś Ty "_ ._
Tokens: 1___ 2______ 3 4_ 5 6__ 7___ 8_ 9_________ 10 11___ 12_______ 13 14_______ 15_________ 16 17 18 19_____ 20_____ 21______ 22_____ 23 24 25_________ 26__ 27____ 28 29 30

Chunks:
  TruePositive nam [21,21] = Time.com (confidence=0.98)
  FalsePositive nam [28,28] = Ty (confidence=0.66) (incorrect boundry)
  FalseNegative nam [1,1] = Time
  FalseNegative nam [9,9] = internauci

(ChunkerEvaluator) Sentence #617 from 00102036 from sent4

Text  : Na okładce jutrzejszego wydania papierowego ponoć znajduje się lusterko ._
Tokens: 1_ 2______ 3___________ 4______ 5__________ 6____ 7_______ 8__ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #618 from 00102036 from sent5

Text  : Trochę to zabieg pod publiczkę , bo akurat ludzie roku z_ kupna papierowego wydania spokojnie mogą zrezygnować ,_ zaś sporo czytelników tradycyjnych na wyróżnienie tym tytułem nie zasługuje ._
Tokens: 1_____ 2_ 3_____ 4__ 5________ 6 7_ 8_____ 9_____ 10__ 11 12___ 13_________ 14_____ 15_______ 16__ 17_________ 18 19_ 20___ 21_________ 22__________ 23 24_________ 25_ 26_____ 27_ 28_______ 29

Chunks:

(ChunkerEvaluator) Sentence #619 from 00102036 from sent6

Text  : Ale nie bądźmy drobiazgowi .
Tokens: 1__ 2__ 3_____ 4__________ 5

Chunks:

(ChunkerEvaluator) Sentence #620 from 00102036 from sent7

Text  : Jeśli Time w tak ostetacyjny sposób ogłasza , że dzięki internetowi ludzie biorą w_ swoje ręce władzę ,_ produkcję i_ media ,_ to znaczy że przekroczyli śmy pewien punkt krytyczny w_ rozumieniu znaczenia tej trzeciej (_ po wynalezieniu pisma i_ druku )_ rewolucji informacyjnej ._
Tokens: 1____ 2___ 3 4__ 5__________ 6_____ 7______ 8 9_ 10____ 11_________ 12____ 13___ 14 15___ 16__ 17____ 18 19_______ 20 21___ 22 23 24____ 25 26__________ 27_ 28____ 29___ 30_______ 31 32________ 33_______ 34_ 35______ 36 37 38__________ 39___ 40 41___ 42 43_______ 44___________ 45

Chunks:
  TruePositive nam [2,2] = Time (confidence=0.85)
  FalseNegative nam [11,11] = internetowi

(ChunkerEvaluator) Sentence #621 from 00102036 from sent8

Text  : Z czego można się tylko cieszyć .
Tokens: 1 2____ 3____ 4__ 5____ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #622 from 00102036 from sent9

Text  : Wszystkie okładkowe teksty na temat Wikipedii , dziennikarstwa obywatelskiego ,_ Youtube ,_ Myspace ,_ blogów itd ._ itp są dostępne na stronach Time.com ,_ krótka nota po polsku na Gazeta.pl
Tokens: 1________ 2________ 3_____ 4_ 5____ 6________ 7 8_____________ 9_____________ 10 11_____ 12 13_____ 14 15____ 16_ 17 18_ 19 20______ 21 22______ 23______ 24 25____ 26__ 27 28____ 29 30_______

Chunks:
  TruePositive nam [6,6] = Wikipedii (confidence=1.00)
  TruePositive nam [11,11] = Youtube (confidence=1.00)
  TruePositive nam [13,13] = Myspace (confidence=1.00)
  TruePositive nam [23,23] = Time.com (confidence=1.00)
  TruePositive nam [30,30] = Gazeta.pl (confidence=1.00)

(ChunkerEvaluator) Sentence #623 from 00102036 from sent10

Text  : Ciekawy komentarz na ten temat zamieścił u siebie Vagla ._
Tokens: 1______ 2________ 3_ 4__ 5____ 6________ 7 8_____ 9____ 10

Chunks:
  TruePositive nam [9,9] = Vagla (confidence=0.98)

(ChunkerEvaluator) Sentence #624 from 00102036 from sent11

Text  : Pisze między innymi : Coś się zmienia , jednak niekoniecznie chodzi o_ oddanie członkom społeczności wpływu na dyskusje publiczną ,_ na dystrybucję treści ._
Tokens: 1____ 2_____ 3_____ 4 5__ 6__ 7______ 8 9_____ 10___________ 11____ 12 13_____ 14______ 15__________ 16____ 17 18______ 19_______ 20 21 22_________ 23____ 24

Chunks:

(ChunkerEvaluator) Sentence #625 from 00102036 from sent12

Text  : Zmienia się tylko model kontroli nad treściami ( por ._ Ograniczanie i_ kontrola dostępu oraz kanałów dystrybucji )_ ._
Tokens: 1______ 2__ 3____ 4____ 5_______ 6__ 7________ 8 9__ 10 11__________ 12 13______ 14_____ 15__ 16_____ 17_________ 18 19

Chunks:

(ChunkerEvaluator) Sentence #626 from 00102036 from sent13

Text  : Ale nadal to nie końcowy użytkownik kontroluje te treści ,_ a_ zmiana następuje jedynie na funkcji dystrybutora ,_ a_ większość tegorocznych "_ ludzi roku "_ nadal uważana jest przez poszczególne systemy prawa za przestępców ._
Tokens: 1__ 2____ 3_ 4__ 5______ 6_________ 7_________ 8_ 9_____ 10 11 12____ 13_______ 14_____ 15 16_____ 17__________ 18 19 20_______ 21__________ 22 23___ 24__ 25 26___ 27_____ 28__ 29___ 30__________ 31_____ 32___ 33 34_________ 35

Chunks:

2017-06-14 20:35:35,806 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 44 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102044.xml
(ChunkerEvaluator) Sentence #627 from 00102044 from sent1

Text  : Pracownicy oraz Absolwenci programu terapeutycznego Ośrodka " Monar " w_ Łodzi i_ Ozorkowie założyli stowarzyszenie kultury fizycznej pod nazwą Klub Piłkarski KOTAN Ozorków ._
Tokens: 1_________ 2___ 3_________ 4_______ 5______________ 6______ 7 8____ 9 10 11___ 12 13_______ 14______ 15____________ 16_____ 17_______ 18_ 19___ 20__ 21_______ 22___ 23_____ 24

Chunks:
  TruePositive nam [11,11] = Łodzi (confidence=0.87)
  TruePositive nam [13,13] = Ozorkowie (confidence=1.00)
  TruePositive nam [20,23] = Klub Piłkarski KOTAN Ozorków (confidence=0.96)
  FalsePositive nam [3,3] = Absolwenci (confidence=0.63) (incorrect boundry)
  FalsePositive nam [6,8] = Ośrodka " Monar (confidence=0.91) (incorrect boundry)
  FalseNegative nam [8,8] = Monar

(ChunkerEvaluator) Sentence #628 from 00102044 from sent2

Text  : Klub został zarejestrowany w Starostwie Powiatowym w Zgierzu , a_ następnie zgłoszony do rozgrywek Pucharu Polski oraz ligowych (_ klasa B_ )_ prowadzonych przez ŁZPN ._
Tokens: 1___ 2_____ 3_____________ 4 5_________ 6_________ 7 8______ 9 10 11_______ 12_______ 13 14_______ 15_____ 16____ 17__ 18______ 19 20___ 21 22 23__________ 24___ 25__ 26

Chunks:
  TruePositive nam [5,6] = Starostwie Powiatowym (confidence=1.00)
  TruePositive nam [8,8] = Zgierzu (confidence=1.00)
  TruePositive nam [15,16] = Pucharu Polski (confidence=1.00)
  TruePositive nam [25,25] = ŁZPN (confidence=1.00)

(ChunkerEvaluator) Sentence #629 from 00102044 from sent3

Text  : Piłkarze Kotana to pacjenci Monaru oraz pracownicy i tzw ._ neofici czyli osoby ,_ które ukończyły leczenie w_ Monarze ._
Tokens: 1_______ 2_____ 3_ 4_______ 5_____ 6___ 7_________ 8 9__ 10 11_____ 12___ 13___ 14 15___ 16_______ 17______ 18 19_____ 20

Chunks:
  TruePositive nam [2,2] = Kotana (confidence=0.98)
  TruePositive nam [5,5] = Monaru (confidence=1.00)
  TruePositive nam [19,19] = Monarze (confidence=0.99)

(ChunkerEvaluator) Sentence #630 from 00102044 from sent4

Text  : Pierwszy mecz rundy wstępnej Pucharu Polski na szczeblu wojewódzkim zespól Kotana Ozorków rozegra w_ niedzielę 06 ._ 08 ._ 2006 godz ._ 16 ._ 30 w_ Swędowie z_ tamtejszym Huraganem ._
Tokens: 1_______ 2___ 3____ 4_______ 5______ 6_____ 7_ 8_______ 9__________ 10____ 11____ 12_____ 13_____ 14 15_______ 16 17 18 19 20__ 21__ 22 23 24 25 26 27______ 28 29________ 30_______ 31

Chunks:
  TruePositive nam [5,6] = Pucharu Polski (confidence=1.00)
  TruePositive nam [11,12] = Kotana Ozorków (confidence=1.00)
  TruePositive nam [27,27] = Swędowie (confidence=1.00)
  TruePositive nam [30,30] = Huraganem (confidence=0.92)

(ChunkerEvaluator) Sentence #631 from 00102044 from sent5

Text  : Jeżeli wygramy , to we wtorek , 15 . 08 ._ 2006 ,_ który jest dniem wolnym od pracy dojdzie do PIŁKARSKICH DERBY OZORKOWA !_
Tokens: 1_____ 2______ 3 4_ 5_ 6_____ 7 8_ 9 10 11 12__ 13 14___ 15__ 16___ 17____ 18 19___ 20_____ 21 22_________ 23___ 24______ 25

Chunks:
  TruePositive nam [22,24] = PIŁKARSKICH DERBY OZORKOWA (confidence=0.70)

(ChunkerEvaluator) Sentence #632 from 00102044 from sent6

Text  : KP KOTAN OZORKÓW - KS TUR OZORKÓW Kotan swoje mecze ma rozgrywać na boisku przy ul ._ Leśnej ,_ ale będziemy się starali o_ zgodę MOSiRu i_ Prezesa KS Tur na rozgrywanie spotkań ligowych i_ pucharowych w_ sezonie 2006 /_ 07 na stadionie przy Łęczyckiej ._
Tokens: 1_ 2____ 3______ 4 5_ 6__ 7______ 8____ 9____ 10___ 11 12_______ 13 14____ 15__ 16 17 18____ 19 20_ 21______ 22_ 23_____ 24 25___ 26____ 27 28_____ 29 30_ 31 32_________ 33_____ 34______ 35 36_________ 37 38_____ 39__ 40 41 42 43_______ 44__ 45________ 46

Chunks:
  TruePositive nam [18,18] = Leśnej (confidence=1.00)
  TruePositive nam [26,26] = MOSiRu (confidence=1.00)
  TruePositive nam [28,30] = Prezesa KS Tur (confidence=0.99)
  TruePositive nam [45,45] = Łęczyckiej (confidence=1.00)
  FalsePositive nam [1,8] = KP KOTAN OZORKÓW - KS TUR OZORKÓW Kotan (confidence=0.95) (incorrect boundry)
  FalseNegative nam [1,3] = KP KOTAN OZORKÓW
  FalseNegative nam [5,7] = KS TUR OZORKÓW
  FalseNegative nam [8,8] = Kotan

(ChunkerEvaluator) Sentence #633 from 00102044 from sent7

Text  : Nasiona trawy w ilości 200 kg , które pierwotnie miałybyć wysiane na płycie boiska w_ lasku miejskim zostaną przekazane do wysiania nowopowstałego boiska treningowego przy głównej płycie KS Tur (_ na prośbę B_ ._ Osińskiego ,_ Dyrektora MOSiR )_ Od 1_ sierpnia wszelkie szczegóły dotyczące Klubu KOTAN będą umieszczane na stronie internetowej ,_ która jest w_ chwili obecnej w_ budowie pod adresem kotan.pl ._
Tokens: 1______ 2____ 3 4_____ 5__ 6_ 7 8____ 9_________ 10______ 11_____ 12 13____ 14____ 15 16___ 17______ 18_____ 19________ 20 21______ 22____________ 23____ 24__________ 25__ 26_____ 27____ 28 29_ 30 31 32____ 33 34 35________ 36 37_______ 38___ 39 40 41 42______ 43______ 44_______ 45_______ 46___ 47___ 48__ 49_________ 50 51_____ 52__________ 53 54___ 55__ 56 57____ 58_____ 59 60_____ 61_ 62_____ 63______ 64

Chunks:
  TruePositive nam [28,29] = KS Tur (confidence=0.95)
  TruePositive nam [33,35] = B . Osińskiego (confidence=1.00)
  TruePositive nam [63,63] = kotan.pl (confidence=0.88)
  FalsePositive nam [38,38] = MOSiR (confidence=0.69) (incorrect boundry)
  FalsePositive nam [46,47] = Klubu KOTAN (confidence=0.96) (incorrect boundry)
  FalseNegative nam [37,38] = Dyrektora MOSiR
  FalseNegative nam [47,47] = KOTAN

(ChunkerEvaluator) Sentence #634 from 00102044 from sent8

Text  : Prezes K . P . " KOTAN " Ozorków
Tokens: 1_____ 2 3 4 5 6 7____ 8 9______

Chunks:
  FalsePositive nam [2,5] = K . P . (confidence=0.61) (incorrect boundry)
  FalsePositive nam [7,7] = KOTAN (confidence=0.97) (incorrect boundry)
  FalsePositive nam [9,9] = Ozorków (confidence=0.55) (incorrect boundry)
  FalseNegative nam [1,9] = Prezes K . P . " KOTAN " Ozorków

2017-06-14 20:35:35,873 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 45 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102087.xml
(ChunkerEvaluator) Sentence #635 from 00102087 from sent1

Text  : W dniu 6 czerwca w Filii nr 2 dla Dzieci i_ Młodzieży przy ul ._ Mielczarskiego 17 pracownicy czerpalni papieru „_ Kalander ”_ z_ Gliwic przeprowadzą cykl warsztatów dla dzieci z_ ozorkowskich szkół ._
Tokens: 1 2___ 3 4______ 5 6____ 7_ 8 9__ 10____ 11 12_______ 13__ 14 15 16____________ 17 18________ 19_______ 20_____ 21 22______ 23 24 25____ 26__________ 27__ 28________ 29_ 30____ 31 32__________ 33___ 34

Chunks:
  TruePositive nam [16,16] = Mielczarskiego (confidence=1.00)
  TruePositive nam [22,22] = Kalander (confidence=1.00)
  TruePositive nam [25,25] = Gliwic (confidence=0.52)
  FalsePositive nam [6,10] = Filii nr 2 dla Dzieci (confidence=0.99) (incorrect boundry)
  FalsePositive nam [12,12] = Młodzieży (confidence=0.98) (incorrect boundry)
  FalseNegative nam [6,12] = Filii nr 2 dla Dzieci i Młodzieży

(ChunkerEvaluator) Sentence #636 from 00102087 from sent2

Text  : W strojach z epoki wprowadzą dzieci w tajniki powstawania książki sprzed „_ epoki Gutenberga ”_ ._
Tokens: 1 2_______ 3 4____ 5________ 6_____ 7 8______ 9__________ 10_____ 11____ 12 13___ 14________ 15 16

Chunks:
  TruePositive nam [14,14] = Gutenberga (confidence=1.00)

(ChunkerEvaluator) Sentence #637 from 00102087 from sent3

Text  : Uczestnicy warsztatów będą też mogli samodzielnie „ wyprodukować ” papier ,_ ufarbować go metodą japońską ,_ a_ także będą pisać gęsim piórem i_ odciskać pieczęci lakowe ._
Tokens: 1_________ 2_________ 3___ 4__ 5____ 6___________ 7 8___________ 9 10____ 11 12_______ 13 14____ 15______ 16 17 18___ 19__ 20___ 21___ 22____ 23 24______ 25______ 26____ 27

Chunks:

2017-06-14 20:35:35,894 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 46 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102152.xml
(ChunkerEvaluator) Sentence #638 from 00102152 from sent1

Text  : Klasa przechowująca reprezentuje dane , które muszą być przechowywane przez dłuższy czas (_ przykładem może być zawartość tablic baz danych oraz plików )_ ._
Tokens: 1____ 2____________ 3___________ 4___ 5 6____ 7____ 8__ 9____________ 10___ 11_____ 12__ 13 14________ 15__ 16_ 17_______ 18____ 19_ 20____ 21__ 22____ 23 24

Chunks:

(ChunkerEvaluator) Sentence #639 from 00102152 from sent2

Text  : Zazwyczaj związana jest z wieloma przypadkami użycia .
Tokens: 1________ 2_______ 3___ 4 5______ 6__________ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #640 from 00102152 from sent3

Text  : Nie może samodzielnie inicjować interakcji .
Tokens: 1__ 2___ 3___________ 4________ 5_________ 6

Chunks:

(ChunkerEvaluator) Sentence #641 from 00102152 from sent4

Text  : Klasa przechowująca może być implementowana na etapie projektowania zarówno w_ postaci samodzielnej klasy ,_ jak i_ atrybutów poszczególnych klas ._
Tokens: 1____ 2____________ 3___ 4__ 5_____________ 6_ 7_____ 8____________ 9______ 10 11_____ 12__________ 13___ 14 15_ 16 17_______ 18____________ 19__ 20

Chunks:

2017-06-14 20:35:35,911 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 47 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102224.xml
(ChunkerEvaluator) Sentence #642 from 00102224 from sent1

Text  : - Instytucja Zarządzająca Podstawami Wsparcia Wspólnoty ( Wydział Szkoleń ,_ Informacji i_ Promocji )_ ,_
Tokens: 1 2_________ 3___________ 4_________ 5_______ 6________ 7 8______ 9______ 10 11________ 12 13______ 14 15

Chunks:
  FalsePositive nam [2,6] = Instytucja Zarządzająca Podstawami Wsparcia Wspólnoty (confidence=0.98) (incorrect boundry)
  FalsePositive nam [8,9] = Wydział Szkoleń (confidence=0.97) (incorrect boundry)
  FalsePositive nam [11,11] = Informacji (confidence=0.74) (incorrect boundry)
  FalsePositive nam [13,13] = Promocji (confidence=0.87) (incorrect boundry)
  FalseNegative nam [8,13] = Wydział Szkoleń , Informacji i Promocji

(ChunkerEvaluator) Sentence #643 from 00102224 from sent2

Text  : - Instytucja Zarządzająca Programem Operacyjnym Pomoc Techniczna 2004 - 2006 ._ "_ ,_
Tokens: 1 2_________ 3___________ 4________ 5__________ 6____ 7_________ 8___ 9 10__ 11 12 13

Chunks:
  FalsePositive nam [2,7] = Instytucja Zarządzająca Programem Operacyjnym Pomoc Techniczna (confidence=0.99) (incorrect boundry)
  FalseNegative nam [4,10] = Programem Operacyjnym Pomoc Techniczna 2004 - 2006

(ChunkerEvaluator) Sentence #644 from 00102224 from sent3

Text  : - lit . F otrzymuje brzmienie :
Tokens: 1 2__ 3 4 5________ 6________ 7

Chunks:
  FalsePositive nam [4,4] = F (confidence=0.55) (incorrect boundry)

(ChunkerEvaluator) Sentence #645 from 00102224 from sent4

Text  : " F ) OSTATECZNI ODBIORCY
Tokens: 1 2 3 4_________ 5_______

Chunks:

(ChunkerEvaluator) Sentence #646 from 00102224 from sent5

Text  : Instytucje publiczne , stowarzyszenia i fundacje , samorządy , organizacje pozarządowe ,_ instytucje oświatowe ,_ podmioty prywatne -_ zgłaszający pomysły projektów w_ przypadku funduszu grantów ._ "_ ,_
Tokens: 1_________ 2________ 3 4_____________ 5 6_______ 7 8________ 9 10_________ 11_________ 12 13________ 14_______ 15 16______ 17______ 18 19_________ 20_____ 21_______ 22 23_______ 24______ 25_____ 26 27 28

Chunks:

(ChunkerEvaluator) Sentence #647 from 00102224 from sent6

Text  : - w części " Działanie 3 . 2 : Stworzenie i_ eksploatacja portalu internetowego "_ w_ lit ._ E_ wyraz "_ BENEFICJENCI "_ zastępuje się wyrazami "_ BENEFICJENCI KOŃCOWI "_ ,_
Tokens: 1 2 3_____ 4 5________ 6 7 8 9 10________ 11 12__________ 13_____ 14___________ 15 16 17_ 18 19 20___ 21 22__________ 23 24_______ 25_ 26______ 27 28__________ 29_____ 30 31

Chunks:
  FalsePositive nam [5,8] = Działanie 3 . 2 (confidence=0.98) (incorrect boundry)
  FalsePositive nam [22,22] = BENEFICJENCI (confidence=0.95) (incorrect boundry)
  FalsePositive nam [28,29] = BENEFICJENCI KOŃCOWI (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #648 from 00102224 from sent7

Text  : - w części " Działanie 3 . 3 : Promocja i_ wymiana informacji pomiędzy uczestnikami procesu realizacji Podstaw Wsparcia Wspólnoty "_ lit ._ E_ otrzymuje brzmienie :_
Tokens: 1 2 3_____ 4 5________ 6 7 8 9 10______ 11 12_____ 13________ 14______ 15__________ 16_____ 17________ 18_____ 19______ 20_______ 21 22_ 23 24 25_______ 26_______ 27

Chunks:
  FalsePositive nam [5,5] = Działanie (confidence=0.93) (incorrect boundry)
  FalsePositive nam [18,20] = Podstaw Wsparcia Wspólnoty (confidence=0.85) (incorrect boundry)

(ChunkerEvaluator) Sentence #649 from 00102224 from sent8

Text  : " E ) BENEFICJENCI KOŃCOWI
Tokens: 1 2 3 4___________ 5______

Chunks:
  FalsePositive nam [4,5] = BENEFICJENCI KOŃCOWI (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #650 from 00102224 from sent9

Text  : - Instytucja Zarządzająca Podstawami Wsparcia Wspólnoty ( Wydział Szkoleń ,_ Informacji i_ Promocji )_ ,_
Tokens: 1 2_________ 3___________ 4_________ 5_______ 6________ 7 8______ 9______ 10 11________ 12 13______ 14 15

Chunks:
  FalsePositive nam [2,6] = Instytucja Zarządzająca Podstawami Wsparcia Wspólnoty (confidence=0.98) (incorrect boundry)
  FalsePositive nam [8,9] = Wydział Szkoleń (confidence=0.97) (incorrect boundry)
  FalsePositive nam [11,11] = Informacji (confidence=0.74) (incorrect boundry)
  FalsePositive nam [13,13] = Promocji (confidence=0.87) (incorrect boundry)
  FalseNegative nam [8,13] = Wydział Szkoleń , Informacji i Promocji

(ChunkerEvaluator) Sentence #651 from 00102224 from sent10

Text  : - Instytucja Płatnicza ( Departament Instytucji Płatniczej , Biuro Międzynarodowych Relacji Skarbowych )_ ,_
Tokens: 1 2_________ 3________ 4 5__________ 6_________ 7_________ 8 9____ 10______________ 11_____ 12________ 13 14

Chunks:
  TruePositive nam [9,12] = Biuro Międzynarodowych Relacji Skarbowych (confidence=1.00)
  FalsePositive nam [2,3] = Instytucja Płatnicza (confidence=0.98) (incorrect boundry)
  FalsePositive nam [5,7] = Departament Instytucji Płatniczej (confidence=0.99) (incorrect boundry)

(ChunkerEvaluator) Sentence #652 from 00102224 from sent11

Text  : - Instytucja Zarządzająca Programem Operacyjnym Pomoc Techniczna 2004 - 2006 ._ "_ ;_
Tokens: 1 2_________ 3___________ 4________ 5__________ 6____ 7_________ 8___ 9 10__ 11 12 13

Chunks:
  FalsePositive nam [2,7] = Instytucja Zarządzająca Programem Operacyjnym Pomoc Techniczna (confidence=0.99) (incorrect boundry)
  FalseNegative nam [4,10] = Programem Operacyjnym Pomoc Techniczna 2004 - 2006

(ChunkerEvaluator) Sentence #653 from 00102224 from sent12

Text  : 2 ) w załączniku nr 1 " Zasady kwalifikacji wydatków "_ część "_ Kategorie wydatków kwalifikujących się do dofinansowania "_ otrzymuje brzmienie określone w_ załączniku do niniejszego rozporządzenia ._
Tokens: 1 2 3 4_________ 5_ 6 7 8_____ 9___________ 10______ 11 12___ 13 14_______ 15______ 16_____________ 17_ 18 19____________ 20 21_______ 22_______ 23_______ 24 25________ 26 27_________ 28____________ 29

Chunks:

(ChunkerEvaluator) Sentence #654 from 00102224 from sent13

Text  : § 2 .
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #655 from 00102224 from sent14

Text  : [ 1 ] Rozporządzenie wchodzi w życie z dniem ogłoszenia ._
Tokens: 1 2 3 4_____________ 5______ 6 7____ 8 9____ 10________ 11

Chunks:

(ChunkerEvaluator) Sentence #656 from 00102224 from sent15

Text  : Minister Gospodarki i Pracy : J . Piechota Minister Gospodarki i_ Pracy kieruje działem administracji rządowej -_ rozwój regionalny ,_ na podstawie §_ 1_ ust ._ 2_ pkt 3_ rozporządzenia Prezesa Rady Ministrów z_ dnia 11 czerwca 2004 r_ ._ w_ sprawie szczegółowego zakresu działania Ministra Gospodarki i_ Pracy (_ Dz ._ U_ ._ Nr 134 ,_ poz ._ 1428 )_ ._
Tokens: 1_______ 2_________ 3 4____ 5 6 7 8_______ 9_______ 10________ 11 12___ 13_____ 14_____ 15___________ 16______ 17 18____ 19________ 20 21 22_______ 23 24 25_ 26 27 28_ 29 30____________ 31_____ 32__ 33_______ 34 35__ 36 37_____ 38__ 39 40 41 42_____ 43___________ 44_____ 45_______ 46______ 47________ 48 49___ 50 51 52 53 54 55 56_ 57 58_ 59 60__ 61 62

Chunks:
  TruePositive nam [1,4] = Minister Gospodarki i Pracy (confidence=0.73)
  TruePositive nam [51,54] = Dz . U . (confidence=1.00)
  FalsePositive nam [6,10] = J . Piechota Minister Gospodarki (confidence=1.00) (incorrect boundry)
  FalsePositive nam [12,12] = Pracy (confidence=0.98) (incorrect boundry)
  FalsePositive nam [31,49] = Prezesa Rady Ministrów z dnia 11 czerwca 2004 r . w sprawie szczegółowego zakresu działania Ministra Gospodarki i Pracy (confidence=1.00) (incorrect boundry)
  FalseNegative nam [6,8] = J . Piechota
  FalseNegative nam [9,12] = Minister Gospodarki i Pracy
  FalseNegative nam [30,49] = rozporządzenia Prezesa Rady Ministrów z dnia 11 czerwca 2004 r . w sprawie szczegółowego zakresu działania Ministra Gospodarki i Pracy

(ChunkerEvaluator) Sentence #657 from 00102224 from sent16

Text  : Załącznik do rozporządzenia Ministra Gospodarki i Pracy z dnia 6_ września 2005 r_ ._ (_ poz ._ 1546 )_
Tokens: 1________ 2_ 3_____________ 4_______ 5_________ 6 7____ 8 9___ 10 11______ 12__ 13 14 15 16_ 17 18__ 19

Chunks:
  FalsePositive nam [4,5] = Ministra Gospodarki (confidence=0.81) (incorrect boundry)
  FalsePositive nam [7,7] = Pracy (confidence=0.94) (incorrect boundry)
  FalseNegative nam [4,7] = Ministra Gospodarki i Pracy

(ChunkerEvaluator) Sentence #658 from 00102224 from sent17

Text  : Kategorie wydatków kwalifikujących się do dofinansowania :
Tokens: 1________ 2_______ 3______________ 4__ 5_ 6_____________ 7

Chunks:

(ChunkerEvaluator) Sentence #659 from 00102224 from sent18

Text  : - koszty doradztwa i usług zewnętrznych
Tokens: 1 2_____ 3________ 4 5____ 6___________

Chunks:

(ChunkerEvaluator) Sentence #660 from 00102224 from sent19

Text  : - koszty organizacji staży i wyjazdów studyjnych
Tokens: 1 2_____ 3__________ 4____ 5 6_______ 7_________

Chunks:

(ChunkerEvaluator) Sentence #661 from 00102224 from sent20

Text  : - koszty wynajęcia sal , sprzętu multimedialnego i nagłośnienia
Tokens: 1 2_____ 3________ 4__ 5 6______ 7______________ 8 9___________

Chunks:

(ChunkerEvaluator) Sentence #662 from 00102224 from sent21

Text  : - koszty wyżywienia
Tokens: 1 2_____ 3_________

Chunks:

(ChunkerEvaluator) Sentence #663 from 00102224 from sent22

Text  : - koszty delegacji
Tokens: 1 2_____ 3________

Chunks:

(ChunkerEvaluator) Sentence #664 from 00102224 from sent23

Text  : - koszty oddelegowania
Tokens: 1 2_____ 3____________

Chunks:

(ChunkerEvaluator) Sentence #665 from 00102224 from sent24

Text  : - koszty zakwaterowania
Tokens: 1 2_____ 3_____________

Chunks:

(ChunkerEvaluator) Sentence #666 from 00102224 from sent25

Text  : - koszty przejazdów
Tokens: 1 2_____ 3_________

Chunks:

(ChunkerEvaluator) Sentence #667 from 00102224 from sent26

Text  : - koszty tłumaczeń
Tokens: 1 2_____ 3________

Chunks:

(ChunkerEvaluator) Sentence #668 from 00102224 from sent27

Text  : - koszty zakupu , opracowania , druku , powielania ,_ publikacji i_ dystrybucji materiałów informacyjnych i_ promocyjnych
Tokens: 1 2_____ 3_____ 4 5__________ 6 7____ 8 9_________ 10 11________ 12 13_________ 14________ 15____________ 16 17__________

Chunks:

(ChunkerEvaluator) Sentence #669 from 00102224 from sent28

Text  : - koszty zakupu , wynajęcia , opracowania , druku ,_ powielania ,_ publikacji i_ dystrybucji materiałów dydaktycznych
Tokens: 1 2_____ 3_____ 4 5________ 6 7__________ 8 9____ 10 11________ 12 13________ 14 15_________ 16________ 17___________

Chunks:

(ChunkerEvaluator) Sentence #670 from 00102224 from sent29

Text  : Działanie 1 . 2 :
Tokens: 1________ 2 3 4 5

Chunks:

(ChunkerEvaluator) Sentence #671 from 00102224 from sent30

Text  : - koszty organizacji spotkań
Tokens: 1 2_____ 3__________ 4______

Chunks:

(ChunkerEvaluator) Sentence #672 from 00102224 from sent31

Text  : - koszty wynajęcia sal , sprzętu multimedialnego i nagłośnienia
Tokens: 1 2_____ 3________ 4__ 5 6______ 7______________ 8 9___________

Chunks:

(ChunkerEvaluator) Sentence #673 from 00102224 from sent32

Text  : - koszty komunikacji i wymiany informacji
Tokens: 1 2_____ 3__________ 4 5______ 6_________

Chunks:

(ChunkerEvaluator) Sentence #674 from 00102224 from sent33

Text  : - koszty wynagrodzenia ekspertów
Tokens: 1 2_____ 3____________ 4________

Chunks:

(ChunkerEvaluator) Sentence #675 from 00102224 from sent34

Text  : - koszty wynagrodzeń wraz ze składkami na ubezpieczenia społeczne uznane przez Jednostkę Monitorująco -_ Kontrolną EFRR
Tokens: 1 2_____ 3__________ 4___ 5_ 6________ 7_ 8____________ 9________ 10____ 11___ 12_______ 13__________ 14 15_______ 16__

Chunks:
  FalsePositive nam [12,16] = Jednostkę Monitorująco - Kontrolną EFRR (confidence=1.00) (incorrect boundry)
  FalseNegative nam [16,16] = EFRR

(ChunkerEvaluator) Sentence #676 from 00102224 from sent35

Text  : - koszty przejazdów
Tokens: 1 2_____ 3_________

Chunks:

(ChunkerEvaluator) Sentence #677 from 00102224 from sent36

Text  : - koszty wyżywienia
Tokens: 1 2_____ 3_________

Chunks:

(ChunkerEvaluator) Sentence #678 from 00102224 from sent37

Text  : - koszty zakwaterowania
Tokens: 1 2_____ 3_____________

Chunks:

(ChunkerEvaluator) Sentence #679 from 00102224 from sent38

Text  : - koszty delegacji
Tokens: 1 2_____ 3________

Chunks:

(ChunkerEvaluator) Sentence #680 from 00102224 from sent39

Text  : - koszty oddelegowania
Tokens: 1 2_____ 3____________

Chunks:

(ChunkerEvaluator) Sentence #681 from 00102224 from sent40

Text  : - koszty zbierania , gromadzenia , przetwarzania i analizowania danych
Tokens: 1 2_____ 3________ 4 5__________ 6 7____________ 8 9___________ 10____

Chunks:

(ChunkerEvaluator) Sentence #682 from 00102224 from sent41

Text  : - koszty zakupu , opracowania , druku , powielania ,_ publikacji i_ dystrybucji materiałów informacyjnych i_ promocyjnych
Tokens: 1 2_____ 3_____ 4 5__________ 6 7____ 8 9_________ 10 11________ 12 13_________ 14________ 15____________ 16 17__________

Chunks:

(ChunkerEvaluator) Sentence #683 from 00102224 from sent42

Text  : Działanie 1 . 3 :
Tokens: 1________ 2 3 4 5

Chunks:

2017-06-14 20:35:36,034 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 48 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102226.xml
(ChunkerEvaluator) Sentence #684 from 00102226 from sent1

Text  : - z zastrzeżeniem poszanowania obowiązujących norm prawa międzynarodowego w szczególności Konwencji Narodów Zjednoczonych przeciwko międzynarodowej przestępczości zorganizowanej ,_ sporządzonej w_ Palermo dnia 12 grudnia 2000 roku ,_ Konwencji Narodów Zjednoczonych o_ zwalczaniu nielegalnego obrotu środkami odurzającymi i_ substancjami psychotropowymi ,_ sporządzonej w_ Wiedniu dnia 20 grudnia 1988 roku oraz prawa wewnętrznego swych państw ,_ kierując się zasadami równości ,_ wzajemności i_ dwustronnych korzyści ,_ 1_ ._
Tokens: 1 2 3____________ 4___________ 5_____________ 6___ 7____ 8_______________ 9 10___________ 11_______ 12_____ 13___________ 14_______ 15_____________ 16____________ 17____________ 18 19__________ 20 21_____ 22__ 23 24_____ 25__ 26__ 27 28_______ 29_____ 30___________ 31 32________ 33__________ 34____ 35______ 36__________ 37 38__________ 39_____________ 40 41__________ 42 43_____ 44__ 45 46_____ 47__ 48__ 49__ 50___ 51__________ 52___ 53____ 54 55______ 56_ 57______ 58______ 59 60_________ 61 62__________ 63______ 64 65 66

Chunks:
  TruePositive nam [21,21] = Palermo (confidence=1.00)
  TruePositive nam [43,43] = Wiedniu (confidence=0.96)
  FalsePositive nam [11,13] = Konwencji Narodów Zjednoczonych (confidence=1.00) (incorrect boundry)
  FalsePositive nam [28,30] = Konwencji Narodów Zjednoczonych (confidence=1.00) (incorrect boundry)
  FalseNegative nam [11,17] = Konwencji Narodów Zjednoczonych przeciwko międzynarodowej przestępczości zorganizowanej
  FalseNegative nam [28,39] = Konwencji Narodów Zjednoczonych o zwalczaniu nielegalnego obrotu środkami odurzającymi i substancjami psychotropowymi

(ChunkerEvaluator) Sentence #685 from 00102226 from sent2

Text  : Umawiające się Strony zobowiązują się do współpracy między organami ochrony bezpieczeństwa i_ porządku publicznego w_ zakresie zapobiegania i_ zwalczania przestępczości zorganizowanej i_ innych rodzajów poważnej przestępczości ,_ a_ w_ szczególności następujących przestępstw :_
Tokens: 1_________ 2__ 3_____ 4__________ 5__ 6_ 7_________ 8_____ 9_______ 10_____ 11____________ 12 13______ 14_________ 15 16______ 17__________ 18 19________ 20____________ 21____________ 22 23____ 24______ 25______ 26____________ 27 28 29 30___________ 31___________ 32_________ 33

Chunks:

(ChunkerEvaluator) Sentence #686 from 00102226 from sent3

Text  : 1 ) przeciwko życiu i zdrowiu ,
Tokens: 1 2 3________ 4____ 5 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #687 from 00102226 from sent4

Text  : 2 ) działań terrorystycznych ,
Tokens: 1 2 3______ 4_______________ 5

Chunks:

(ChunkerEvaluator) Sentence #688 from 00102226 from sent5

Text  : 3 ) kradzieży materiałów jądrowych i promieniotwórczych , nielegalnego transportu i_ obrotu nimi ,_ niewłaściwego użycia lub grożenia niewłaściwym ich użyciem ,_
Tokens: 1 2 3________ 4_________ 5________ 6 7_________________ 8 9___________ 10________ 11 12____ 13__ 14 15___________ 16____ 17_ 18______ 19__________ 20_ 21_____ 22

Chunks:

(ChunkerEvaluator) Sentence #689 from 00102226 from sent6

Text  : 4 ) przeciwko chronionemu prawem środowisku naturalnemu oraz przestępstw nielegalnego obrotu chronionymi gatunkami roślin i_ zwierząt ,_
Tokens: 1 2 3________ 4__________ 5_____ 6_________ 7__________ 8___ 9__________ 10__________ 11____ 12_________ 13_______ 14____ 15 16______ 17

Chunks:

(ChunkerEvaluator) Sentence #690 from 00102226 from sent7

Text  : 5 ) przeciwko wolności seksualnej osób .
Tokens: 1 2 3________ 4_______ 5_________ 6___ 7

Chunks:

(ChunkerEvaluator) Sentence #691 from 00102226 from sent8

Text  : w szczególności pedofilii i przestępczości związanej z pornografią dziecięcą oraz zmuszania do prostytucji ,_
Tokens: 1 2____________ 3________ 4 5_____________ 6________ 7 8__________ 9________ 10__ 11_______ 12 13_________ 14

Chunks:

(ChunkerEvaluator) Sentence #692 from 00102226 from sent9

Text  : 6 ) przemytu ludzi i handlu ludźmi ,
Tokens: 1 2 3_______ 4____ 5 6_____ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #693 from 00102226 from sent10

Text  : 7 ) pozbawienia człowieka wolności , a w szczególności uprowadzenia ,_
Tokens: 1 2 3__________ 4________ 5_______ 6 7 8 9____________ 10__________ 11

Chunks:

(ChunkerEvaluator) Sentence #694 from 00102226 from sent11

Text  : 8 ) nielegalnej migracji ,
Tokens: 1 2 3__________ 4_______ 5

Chunks:

(ChunkerEvaluator) Sentence #695 from 00102226 from sent12

Text  : 9 ) nielegalnego obrotu bronią , amunicją , materiałami wybuchowymi i_ innymi tego rodzaju materiałami oraz nielegalnej ich produkcji ,_
Tokens: 1 2 3___________ 4_____ 5_____ 6 7_______ 8 9__________ 10_________ 11 12____ 13__ 14_____ 15_________ 16__ 17_________ 18_ 19_______ 20

Chunks:

(ChunkerEvaluator) Sentence #696 from 00102226 from sent13

Text  : 10 ) kradzieży dzieł sztuki i dóbr kultury stanowiących spuściznę historyczną ,_ artystyczną i_ kulturalną ,_ jak również obrotu tymi przedmiotami i_ ich przemytu ,_
Tokens: 1_ 2 3________ 4____ 5_____ 6 7___ 8______ 9___________ 10_______ 11_________ 12 13_________ 14 15________ 16 17_ 18_____ 19____ 20__ 21__________ 22 23_ 24______ 25

Chunks:

(ChunkerEvaluator) Sentence #697 from 00102226 from sent14

Text  : 11 ) fałszowania środków płatniczych , kart kredytowych , czeków ,_ papierów wartościowych i_ dokumentów urzędowych ,_ a_ w_ szczególności dokumentów tożsamości i_ podróży oraz wprowadzania ich do obiegu ,_
Tokens: 1_ 2 3__________ 4______ 5__________ 6 7___ 8__________ 9 10____ 11 12______ 13___________ 14 15________ 16________ 17 18 19 20___________ 21________ 22________ 23 24_____ 25__ 26__________ 27_ 28 29____ 30

Chunks:

(ChunkerEvaluator) Sentence #698 from 00102226 from sent15

Text  : 12 ) gospodarczych , prania pieniędzy i korupcji ,
Tokens: 1_ 2 3____________ 4 5_____ 6________ 7 8_______ 9

Chunks:

(ChunkerEvaluator) Sentence #699 from 00102226 from sent16

Text  : 13 ) nielegalnej uprawy roślin służących do wytwarzania środków odurzających i_ substancji psychotropowych ,_ produkcji tych środków oraz prekursorów ,_ nielegalnego ich przetwarzania ,_ przewożenia ,_ przemytu oraz obrotu nimi ,_ a_ także obrotu substancjami wyjściowymi i_ półproduktami ,_ służącymi do ich produkcji ,_
Tokens: 1_ 2 3__________ 4_____ 5_____ 6________ 7_ 8__________ 9______ 10__________ 11 12________ 13_____________ 14 15_______ 16__ 17_____ 18__ 19_________ 20 21__________ 22_ 23___________ 24 25_________ 26 27______ 28__ 29____ 30__ 31 32 33___ 34____ 35__________ 36_________ 37 38___________ 39 40_______ 41 42_ 43_______ 44

Chunks:

(ChunkerEvaluator) Sentence #700 from 00102226 from sent17

Text  : 14 ) kradzieży , przemytu i nielegalnego obrotu samochodami i_ częściami zamiennymi ._
Tokens: 1_ 2 3________ 4 5_______ 6 7___________ 8_____ 9__________ 10 11_______ 12________ 13

Chunks:

(ChunkerEvaluator) Sentence #701 from 00102226 from sent18

Text  : 2 .
Tokens: 1 2

Chunks:

(ChunkerEvaluator) Sentence #702 from 00102226 from sent19

Text  : Umawiające się Strony zobowiązują się do wymiany informacji dotyczących :_
Tokens: 1_________ 2__ 3_____ 4__________ 5__ 6_ 7______ 8_________ 9__________ 10

Chunks:

(ChunkerEvaluator) Sentence #703 from 00102226 from sent20

Text  : 1 ) osób podejrzanych o popełnienie przestępstw wymienionych w ustępie 1_ lub uchylających się od odbycia kary orzeczonej za ich popełnienie ,_
Tokens: 1 2 3___ 4___________ 5 6__________ 7__________ 8___________ 9 10_____ 11 12_ 13__________ 14_ 15 16_____ 17__ 18________ 19 20_ 21_________ 22

Chunks:

(ChunkerEvaluator) Sentence #704 from 00102226 from sent21

Text  : 2 ) osób zaginionych lub nieznanych zwłok .
Tokens: 1 2 3___ 4__________ 5__ 6_________ 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #705 from 00102226 from sent22

Text  : Artykuł 2
Tokens: 1______ 2

Chunks:

(ChunkerEvaluator) Sentence #706 from 00102226 from sent23

Text  : W celu realizacji współpracy , o której mowa w artykule 1_ niniejszej umowy ._
Tokens: 1 2___ 3_________ 4_________ 5 6 7_____ 8___ 9 10______ 11 12________ 13___ 14

Chunks:

(ChunkerEvaluator) Sentence #707 from 00102226 from sent24

Text  : Umawiające się Strony , zgodnie ze swoim prawem wewnętrznym ,_ będą :_
Tokens: 1_________ 2__ 3_____ 4 5______ 6_ 7____ 8_____ 9__________ 10 11__ 12

Chunks:

(ChunkerEvaluator) Sentence #708 from 00102226 from sent25

Text  : 1 ) przekazywać sobie wzajemnie dane osobowe sprawców przestępstw i_ osób z_ nimi współdziałających oraz informacje o_ :_
Tokens: 1 2 3__________ 4____ 5________ 6___ 7______ 8_______ 9__________ 10 11__ 12 13__ 14_______________ 15__ 16________ 17 18

Chunks:

(ChunkerEvaluator) Sentence #709 from 00102226 from sent26

Text  : a ) inspiratorach i osobach kierujących działaniami przestępczymi ,
Tokens: 1 2 3____________ 4 5______ 6__________ 7__________ 8____________ 9

Chunks:

2017-06-14 20:35:36,146 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 49 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102263.xml
(ChunkerEvaluator) Sentence #710 from 00102263 from sent1

Text  : A bohater ma na imię Oskar i gra na tamburynie
Tokens: 1 2______ 3_ 4_ 5___ 6____ 7 8__ 9_ 10________

Chunks:
  TruePositive nam [6,6] = Oskar (confidence=1.00)

(ChunkerEvaluator) Sentence #711 from 00102263 from sent2

Text  : Są książki dobrze napisane i są książki za dobrze napisane ._
Tokens: 1_ 2______ 3_____ 4_______ 5 6_ 7______ 8_ 9_____ 10______ 11

Chunks:

(ChunkerEvaluator) Sentence #712 from 00102263 from sent3

Text  : Strasznie głośno , niesamowicie blisko .
Tokens: 1________ 2_____ 3 4___________ 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #713 from 00102263 from sent4

Text  : Książka , która na każdym kursie dla pisarzy dostała by "_ celujący "_ ._
Tokens: 1______ 2 3____ 4_ 5_____ 6_____ 7__ 8______ 9______ 10 11 12______ 13 14

Chunks:

(ChunkerEvaluator) Sentence #714 from 00102263 from sent5

Text  : Idealna lektura na wakacje .
Tokens: 1______ 2______ 3_ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #715 from 00102263 from sent6

Text  : Mimo onieśmielającej grubości da się ją przeczytać bez wysiłku w_ jeden niezbyt długi wieczór ,_ okrągłe zdania ,_ ani jednego podejrzanie wydziwionego słowa ,_ do tego nie trzeba zawracać sobie głowy historyczno -_ politycznymi niuansami ._
Tokens: 1___ 2______________ 3_______ 4_ 5__ 6_ 7_________ 8__ 9______ 10 11___ 12_____ 13___ 14_____ 15 16_____ 17____ 18 19_ 20_____ 21_________ 22__________ 23___ 24 25 26__ 27_ 28____ 29______ 30___ 31___ 32_________ 33 34__________ 35_______ 36

Chunks:

(ChunkerEvaluator) Sentence #716 from 00102263 from sent7

Text  : Autorowi udało się nie zająknąć o nich ani słowem nawet w_ wątku o_ Niemcach ,_ którzy po bombardowaniu Drezna wyjeżdżają do USA ,_ zostają ,_ wracają ,_ jakby wychodzili po bułki do sklepu ._
Tokens: 1_______ 2____ 3__ 4__ 5_______ 6 7___ 8__ 9_____ 10___ 11 12___ 13 14______ 15 16____ 17 18___________ 19____ 20________ 21 22_ 23 24_____ 25 26_____ 27 28___ 29________ 30 31___ 32 33____ 34

Chunks:
  TruePositive nam [14,14] = Niemcach (confidence=0.96)
  TruePositive nam [19,19] = Drezna (confidence=0.99)
  TruePositive nam [22,22] = USA (confidence=1.00)

(ChunkerEvaluator) Sentence #717 from 00102263 from sent8

Text  : " Strasznie głośno ( . . . )
Tokens: 1 2________ 3_____ 4 5 6 7 8

Chunks:

(ChunkerEvaluator) Sentence #718 from 00102263 from sent9

Text  : " skupia się wyłącznie na tzw . życiu prywatnym ._
Tokens: 1 2_____ 3__ 4________ 5_ 6__ 7 8____ 9________ 10

Chunks:

(ChunkerEvaluator) Sentence #719 from 00102263 from sent10

Text  : Bardzo prywatnym .
Tokens: 1_____ 2________ 3

Chunks:

(ChunkerEvaluator) Sentence #720 from 00102263 from sent11

Text  : Życie rodzinne i kropka .
Tokens: 1____ 2_______ 3 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #721 from 00102263 from sent12

Text  : Związki , więzy krwi .
Tokens: 1______ 2 3____ 4___ 5

Chunks:

(ChunkerEvaluator) Sentence #722 from 00102263 from sent13

Text  : I robi to idealnie .
Tokens: 1 2___ 3_ 4_______ 5

Chunks:

(ChunkerEvaluator) Sentence #723 from 00102263 from sent14

Text  : Kapitalne dialogi o przemijaniu .
Tokens: 1________ 2______ 3 4__________ 5

Chunks:

(ChunkerEvaluator) Sentence #724 from 00102263 from sent15

Text  : Idealne niedopowiedzenia .
Tokens: 1______ 2_______________ 3

Chunks:

(ChunkerEvaluator) Sentence #725 from 00102263 from sent16

Text  : Mój faworyt : rozmowa w warsztacie ślusarskim .
Tokens: 1__ 2______ 3 4______ 5 6_________ 7_________ 8

Chunks:

(ChunkerEvaluator) Sentence #726 from 00102263 from sent17

Text  : Sam pomysł prosty i genialny w zastosowaniu : mały chłopiec po śmierci ojca znajduje tajemniczy przedmiot i_ rozwiązuje jego zagadkę jednocześnie poznając mnóstwo ludzi ,_ rzeczy i_ miejsc ._
Tokens: 1__ 2_____ 3_____ 4 5_______ 6 7___________ 8 9___ 10______ 11 12_____ 13__ 14______ 15________ 16_______ 17 18________ 19__ 20_____ 21__________ 22______ 23_____ 24___ 25 26____ 27 28____ 29

Chunks:

(ChunkerEvaluator) Sentence #727 from 00102263 from sent18

Text  : Jeśli do tego chłopiec jest niezwykły i akcja dzieje się w_ Nowym Jorku po 11 ._ 09 ._ ._ ._
Tokens: 1____ 2_ 3___ 4_______ 5___ 6________ 7 8____ 9_____ 10_ 11 12___ 13___ 14 15 16 17 18 19 20

Chunks:
  TruePositive nam [12,13] = Nowym Jorku (confidence=1.00)

(ChunkerEvaluator) Sentence #728 from 00102263 from sent19

Text  : Przyjaciele z kampusu zgrzytają z zazdrości wobec celującego studenta J_ ._ S_ ._ Foera ,_ który dodał do tego jeszcze intertekstualne aluzje ,_ tak jak uczyli na kursie ._
Tokens: 1__________ 2 3______ 4________ 5 6________ 7____ 8_________ 9_______ 10 11 12 13 14___ 15 16___ 17___ 18 19__ 20_____ 21_____________ 22____ 23 24_ 25_ 26____ 27 28____ 29

Chunks:
  TruePositive nam [10,14] = J . S . Foera (confidence=1.00)

(ChunkerEvaluator) Sentence #729 from 00102263 from sent20

Text  : Człowiek uczy się się przecież przez całe życie , a_ to dopiero druga książka ._
Tokens: 1_______ 2___ 3__ 4__ 5_______ 6____ 7___ 8____ 9 10 11 12_____ 13___ 14_____ 15

Chunks:

(ChunkerEvaluator) Sentence #730 from 00102263 from sent21

Text  : Oby na kampusie zrobiło się kiedyś za ciasno .
Tokens: 1__ 2_ 3_______ 4______ 5__ 6_____ 7_ 8_____ 9

Chunks:

2017-06-14 20:35:36,222 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 50 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102360.xml
(ChunkerEvaluator) Sentence #731 from 00102360 from sent1

Text  : Co i rusz w wypowiedziach przedstawicieli organizacji obrońców praw człowieka pojawia się stwierdzenia ,_ jakoby dziś rozpoczynające się igrzyska w_ Pekinie były jaskrawym zaprzeczeniem idei olimpijskiej ._
Tokens: 1_ 2 3___ 4 5____________ 6______________ 7__________ 8_______ 9___ 10_______ 11_____ 12_ 13__________ 14 15____ 16__ 17____________ 18_ 19______ 20 21_____ 22__ 23_______ 24___________ 25__ 26__________ 27

Chunks:
  TruePositive nam [21,21] = Pekinie (confidence=1.00)

(ChunkerEvaluator) Sentence #732 from 00102360 from sent2

Text  : Idea ta miała by promować uczciwą rywalizację oraz pokojowe współistnienie narodów świata ._
Tokens: 1___ 2_ 3____ 4_ 5_______ 6______ 7__________ 8___ 9_______ 10____________ 11_____ 12____ 13

Chunks:

(ChunkerEvaluator) Sentence #733 from 00102360 from sent3

Text  : Nie wiadomo dlaczego tak bzdurne spostrzeżenie jest używane wszem i_ wobec ._
Tokens: 1__ 2______ 3_______ 4__ 5______ 6____________ 7___ 8______ 9____ 10 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #734 from 00102360 from sent4

Text  : czy jest to strategia obliczona na poruszenie odbiorców , czy też może efekt zaczadzenia historycznymi ,_ nie mającymi pokrycia w_ rzeczywistości ,_ stereotypami pokutującymi w_ naszym społeczeństwie ._
Tokens: 1__ 2___ 3_ 4________ 5________ 6_ 7_________ 8________ 9 10_ 11_ 12__ 13___ 14_________ 15___________ 16 17_ 18______ 19______ 20 21____________ 22 23__________ 24__________ 25 26____ 27____________ 28

Chunks:

(ChunkerEvaluator) Sentence #735 from 00102360 from sent5

Text  : Takich jest wiele .
Tokens: 1_____ 2___ 3____ 4

Chunks:

(ChunkerEvaluator) Sentence #736 from 00102360 from sent6

Text  : Np Wielki Książę Konstanty pokutuje jako wróg polskości , bijący po gębach polskich oficerów ,_ a_ w_ rzeczywistości był zakochany w_ Polsce ,_ a_ armię Kongresówki wyszkolił wręcz znakomicie ._
Tokens: 1_ 2_____ 3_____ 4________ 5_______ 6___ 7___ 8________ 9 10____ 11 12____ 13______ 14______ 15 16 17 18____________ 19_ 20_______ 21 22____ 23 24 25___ 26_________ 27_______ 28___ 29________ 30

Chunks:
  TruePositive nam [4,4] = Konstanty (confidence=0.51)
  TruePositive nam [22,22] = Polsce (confidence=1.00)
  TruePositive nam [26,26] = Kongresówki (confidence=0.98)
  FalseNegative nam [2,3] = Wielki Książę

(ChunkerEvaluator) Sentence #737 from 00102360 from sent7

Text  : Czy - mimo kolejnych odkryć naukowych , świadczących o czymś wręcz przeciwnym -_ przeświadczenie o_ naszym neandertalskim przodku ._
Tokens: 1__ 2 3___ 4________ 5_____ 6________ 7 8___________ 9 10___ 11___ 12________ 13 14_____________ 15 16____ 17____________ 18_____ 19

Chunks:

(ChunkerEvaluator) Sentence #738 from 00102360 from sent8

Text  : Od czasów antycznych , od samego zarania olimpijskiego ruchu ,_ nic się nie zmieniło ._
Tokens: 1_ 2_____ 3_________ 4 5_ 6_____ 7______ 8____________ 9____ 10 11_ 12_ 13_ 14______ 15

Chunks:

(ChunkerEvaluator) Sentence #739 from 00102360 from sent9

Text  : Zawody były sposobami na osiąganie wpływów , często zmieniały się w_ prawdziwe rzezie ,_ a_ startujący robili to dla swoich egoistycznych korzyści ,_ i_ -_ nawet wtedy -_ powszechnie stosowali doping ._
Tokens: 1_____ 2___ 3________ 4_ 5________ 6______ 7 8_____ 9________ 10_ 11 12_______ 13____ 14 15 16________ 17____ 18 19_ 20____ 21___________ 22______ 23 24 25 26___ 27___ 28 29_________ 30_______ 31____ 32

Chunks:

(ChunkerEvaluator) Sentence #740 from 00102360 from sent10

Text  : Tak więc nie ma co płakać - idea olimpijska ma się wyśmienicie ,_ a_ duch olimpizmu nie zmienił się ani o_ jotę ._
Tokens: 1__ 2___ 3__ 4_ 5_ 6_____ 7 8___ 9_________ 10 11_ 12_________ 13 14 15__ 16_______ 17_ 18_____ 19_ 20_ 21 22__ 23

Chunks:

(ChunkerEvaluator) Sentence #741 from 00102360 from sent11

Text  : Rozanieleni świadomością , że już za chwilę , widzowie tego widowiska będą mogli z_ rozkoszą tyć sobie spokojnie przed telewizorami z_ puszką cocacoli i_ popcornem (_ lub też golonką i_ piwem -_ przecież to Polska właśnie )_ ,_ będą spijać bzdury ,_ utwierdzone w_ ich świadomości społecznej przez dziesiątki lat powtarzania z_ ust prezenterów i_ komentatorów kolejnych odsłon olimpijskiej hucpy ._
Tokens: 1__________ 2___________ 3 4_ 5__ 6_ 7_____ 8 9_______ 10__ 11_______ 12__ 13___ 14 15______ 16_ 17___ 18_______ 19___ 20__________ 21 22____ 23______ 24 25_______ 26 27_ 28_ 29_____ 30 31___ 32 33______ 34 35____ 36_____ 37 38 39__ 40____ 41____ 42 43_________ 44 45_ 46_________ 47________ 48___ 49________ 50_ 51_________ 52 53_ 54_________ 55 56__________ 57_______ 58____ 59__________ 60___ 61

Chunks:
  TruePositive nam [35,35] = Polska (confidence=1.00)

(ChunkerEvaluator) Sentence #742 from 00102360 from sent12

Text  : Gdyby ktoś próbował im wytłumaczyć , że jest całkiem inaczej ,_ niż dotąd myśleli ,_ zirytują się ,_ a_ może nawet zmienią kanał -_ na ten ,_ gdzie nie trzeba słuchać informacji odbiegających od ukonstytuowanych w_ ich mózgach ._
Tokens: 1____ 2___ 3_______ 4_ 5__________ 6 7_ 8___ 9______ 10_____ 11 12_ 13___ 14_____ 15 16______ 17_ 18 19 20__ 21___ 22_____ 23___ 24 25 26_ 27 28___ 29_ 30____ 31_____ 32________ 33___________ 34 35______________ 36 37_ 38_____ 39

Chunks:

2017-06-14 20:35:36,304 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 51 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102412.xml
(ChunkerEvaluator) Sentence #743 from 00102412 from sent1

Text  : Festiwal Edukacji Nieformalnej na Białorusi
Tokens: 1_______ 2_______ 3___________ 4_ 5________

Chunks:
  FalsePositive nam [1,3] = Festiwal Edukacji Nieformalnej (confidence=0.88) (incorrect boundry)
  FalsePositive nam [5,5] = Białorusi (confidence=0.94) (incorrect boundry)
  FalseNegative nam [1,5] = Festiwal Edukacji Nieformalnej na Białorusi

(ChunkerEvaluator) Sentence #744 from 00102412 from sent2

Text  : W dniach 8 - 10 października , odbył się w_ Mińsku III finał Międzynarodowego Festiwalu Edukacji Nieformalnej ._
Tokens: 1 2_____ 3 4 5_ 6___________ 7 8____ 9__ 10 11____ 12_ 13___ 14______________ 15_______ 16______ 17__________ 18

Chunks:
  TruePositive nam [14,17] = Międzynarodowego Festiwalu Edukacji Nieformalnej (confidence=0.84)
  FalsePositive nam [11,12] = Mińsku III (confidence=0.97) (incorrect boundry)
  FalseNegative nam [11,11] = Mińsku

(ChunkerEvaluator) Sentence #745 from 00102412 from sent3

Text  : Ponad 250 przedstawicieli organizacji pozarządowych , biznesowych i edukacyjnych dyskutowało na temat możliwości podniesienia standardów życiowych wykorzystując edukację nieformalną ._
Tokens: 1____ 2__ 3______________ 4__________ 5____________ 6 7__________ 8 9___________ 10_________ 11 12___ 13________ 14__________ 15________ 16_______ 17___________ 18______ 19_________ 20

Chunks:

(ChunkerEvaluator) Sentence #746 from 00102412 from sent4

Text  : Wśród poruszonych tematów znalazły się m . in . "_ Metody ,_ techniki ,_ doświadczenia w_ edukacji dorosłych "_ czy "_ Możliwości technologii internetowych w_ polepszeniu pozycji młodych ludzi na rynku pracy "_ ._
Tokens: 1____ 2__________ 3______ 4_______ 5__ 6 7 8_ 9 10 11____ 12 13______ 14 15___________ 16 17______ 18_______ 19 20_ 21 22________ 23_________ 24___________ 25 26_________ 27_____ 28_____ 29___ 30 31___ 32___ 33 34

Chunks:
  FalsePositive nam [11,11] = Metody (confidence=0.89) (incorrect boundry)
  FalsePositive nam [22,24] = Możliwości technologii internetowych (confidence=0.96) (incorrect boundry)

(ChunkerEvaluator) Sentence #747 from 00102412 from sent5

Text  : Fundacja Nowe Media uczestniczyła w sesji pt . " Nowości i_ nowe technologie w_ edukacji nieformalnej "_ z_ wykładem "_ Nowe media i_ zmiany społeczne "_ oraz z_ prezentacją projektu MAM ._
Tokens: 1_______ 2___ 3____ 4____________ 5 6____ 7_ 8 9 10_____ 11 12__ 13_________ 14 15______ 16__________ 17 18 19______ 20 21__ 22___ 23 24____ 25_______ 26 27__ 28 29_________ 30______ 31_ 32

Chunks:
  TruePositive nam [1,3] = Fundacja Nowe Media (confidence=0.99)
  FalsePositive nam [21,22] = Nowe media (confidence=0.96) (incorrect boundry)
  FalseNegative nam [10,16] = Nowości i nowe technologie w edukacji nieformalnej
  FalseNegative nam [21,25] = Nowe media i zmiany społeczne
  FalseNegative nam [31,31] = MAM

(ChunkerEvaluator) Sentence #748 from 00102412 from sent6

Text  : Wystąpienie koordynatora projektu MAM Wschód Olgi Hardziejczyk - Maziarskiej wywołało żywą dyskusję o_ kierunkach rozwoju i_ sposobów komunikacji społecznej ,_ na przykładach Polski i_ Białorusi ._
Tokens: 1__________ 2___________ 3_______ 4__ 5_____ 6___ 7___________ 8 9__________ 10______ 11__ 12______ 13 14________ 15_____ 16 17______ 18_________ 19________ 20 21 22_________ 23____ 24 25_______ 26

Chunks:
  TruePositive nam [23,23] = Polski (confidence=1.00)
  TruePositive nam [25,25] = Białorusi (confidence=1.00)
  FalsePositive nam [4,9] = MAM Wschód Olgi Hardziejczyk - Maziarskiej (confidence=0.96) (incorrect boundry)
  FalseNegative nam [4,5] = MAM Wschód
  FalseNegative nam [6,9] = Olgi Hardziejczyk - Maziarskiej

2017-06-14 20:35:36,341 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 52 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102449.xml
(ChunkerEvaluator) Sentence #749 from 00102449 from sent1

Text  : Jak skutecznie prowadzić projekt typu “ Web 2 . 0_ ″_ ?_
Tokens: 1__ 2_________ 3________ 4______ 5___ 6 7__ 8 9 10 11 12

Chunks:
  TruePositive nam [7,10] = Web 2 . 0 (confidence=1.00)

(ChunkerEvaluator) Sentence #750 from 00102449 from sent2

Text  : Tak zatytułowana jest sesja , którą za półtora tygodnia poprowadzę z_ Arturem Kurasińskim w_ ramach XXIII Jesiennych Spotkań PTI w_ Wiśle ._
Tokens: 1__ 2___________ 3___ 4____ 5 6____ 7_ 8______ 9_______ 10________ 11 12_____ 13_________ 14 15____ 16___ 17________ 18_____ 19_ 20 21___ 22

Chunks:
  TruePositive nam [12,13] = Arturem Kurasińskim (confidence=1.00)
  TruePositive nam [16,19] = XXIII Jesiennych Spotkań PTI (confidence=1.00)
  TruePositive nam [21,21] = Wiśle (confidence=1.00)

(ChunkerEvaluator) Sentence #751 from 00102449 from sent3

Text  : Myślę , że udało nam się zebrać ciekawą grupę praktyków ,_ którzy opowiedzą ,_ jak prowadzić projekty typu “_ web 2_ ._ 0_ ″_ -_ wśród prelegentów są Rafał Agnieszczak (_ fotka.pl oraz inne )_ ,_ Kamil Dmowski (_ Heureka )_ ,_ Jan Górski (_ Plum Web Solutions )_ ,_ Artur Gortych (_ Artegence )_ ,_ Maciej Kołodziejczak (_ Bebo )_ ,_ Grzegorz Ostrowski i_ Marek Zakrzewski (_ mniammniam.pl )_ oraz Dominik Wartecki (_ Janmedia Interactive )_ ._
Tokens: 1____ 2 3_ 4____ 5__ 6__ 7_____ 8______ 9____ 10_______ 11 12____ 13_______ 14 15_ 16_______ 17______ 18__ 19 20_ 21 22 23 24 25 26___ 27_________ 28 29___ 30_________ 31 32______ 33__ 34__ 35 36 37___ 38_____ 39 40_____ 41 42 43_ 44____ 45 46__ 47_ 48_______ 49 50 51___ 52_____ 53 54_______ 55 56 57____ 58___________ 59 60__ 61 62 63______ 64_______ 65 66___ 67________ 68 69___________ 70 71__ 72_____ 73______ 74 75______ 76_________ 77 78

Chunks:
  TruePositive nam [29,30] = Rafał Agnieszczak (confidence=1.00)
  TruePositive nam [37,38] = Kamil Dmowski (confidence=1.00)
  TruePositive nam [40,40] = Heureka (confidence=1.00)
  TruePositive nam [43,44] = Jan Górski (confidence=1.00)
  TruePositive nam [46,48] = Plum Web Solutions (confidence=0.86)
  TruePositive nam [51,52] = Artur Gortych (confidence=1.00)
  TruePositive nam [54,54] = Artegence (confidence=0.96)
  TruePositive nam [57,58] = Maciej Kołodziejczak (confidence=1.00)
  TruePositive nam [60,60] = Bebo (confidence=1.00)
  TruePositive nam [63,64] = Grzegorz Ostrowski (confidence=1.00)
  TruePositive nam [66,67] = Marek Zakrzewski (confidence=1.00)
  TruePositive nam [72,73] = Dominik Wartecki (confidence=1.00)
  TruePositive nam [75,76] = Janmedia Interactive (confidence=0.98)
  FalsePositive nam [21,23] = 2 . 0 (confidence=0.55) (incorrect boundry)
  FalseNegative nam [20,23] = web 2 . 0
  FalseNegative nam [32,32] = fotka.pl
  FalseNegative nam [69,69] = mniammniam.pl

(ChunkerEvaluator) Sentence #752 from 00102449 from sent4

Text  : Tematów równie wiele co prezentujących , ja sam będę opowiadał o_ przedsięwzięciach typu Open Business ._
Tokens: 1______ 2_____ 3____ 4_ 5_____________ 6 7_ 8__ 9___ 10_______ 11 12_______________ 13__ 14__ 15______ 16

Chunks:
  TruePositive nam [14,15] = Open Business (confidence=0.95)

(ChunkerEvaluator) Sentence #753 from 00102449 from sent5

Text  : W czwartek 18 października rano odbędzie się nasza sesja ,_ a_ na popołudnie zaplanowane jest “_ Blogozbiegowisko ”_ -_ zapowiada się więc całkiem dwazerowy dzień ._
Tokens: 1 2_______ 3_ 4___________ 5___ 6_______ 7__ 8____ 9____ 10 11 12 13________ 14_________ 15__ 16 17______________ 18 19 20_______ 21_ 22__ 23_____ 24_______ 25___ 26

Chunks:
  TruePositive nam [17,17] = Blogozbiegowisko (confidence=0.99)

(ChunkerEvaluator) Sentence #754 from 00102449 from sent6

Text  : Zapraszam wszystkich serdecznie , można się jeszcze zarejestrować .
Tokens: 1________ 2_________ 3_________ 4 5____ 6__ 7______ 8____________ 9

Chunks:

(ChunkerEvaluator) Sentence #755 from 00102449 from sent7

Text  : W trakcie spotkań jest zaplanowanych wiele różnych sesji - ciekawie zapowiada się m_ ._ in ._ sesja o_ e_ -_ government oraz o_ google hacking ._
Tokens: 1 2______ 3______ 4___ 5____________ 6____ 7______ 8____ 9 10______ 11_______ 12_ 13 14 15 16 17___ 18 19 20 21________ 22__ 23 24____ 25_____ 26

Chunks:

2017-06-14 20:35:36,391 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 53 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102485.xml
(ChunkerEvaluator) Sentence #756 from 00102485 from sent1

Text  : 22 lutego o godz . 17 . 00 w Miejskiej Bibliotece Publicznej odbędzie się otwarcie wystawy "_ Święto wachlarza i_ lalki japońskiej "_ połączonej z_ wystawą fotograficzną Masakatsu Yoshida ._
Tokens: 1_ 2_____ 3 4___ 5 6_ 7 8_ 9 10_______ 11________ 12________ 13______ 14_ 15______ 16_____ 17 18____ 19_______ 20 21___ 22________ 23 24________ 25 26_____ 27___________ 28_______ 29_____ 30

Chunks:
  TruePositive nam [10,12] = Miejskiej Bibliotece Publicznej (confidence=1.00)
  TruePositive nam [18,22] = Święto wachlarza i lalki japońskiej (confidence=1.00)
  TruePositive nam [28,29] = Masakatsu Yoshida (confidence=1.00)

(ChunkerEvaluator) Sentence #757 from 00102485 from sent2

Text  : Podczas otwarcia autor wystawy wygłosi prelekcję pt . " Kultura Japonii "_ ._
Tokens: 1______ 2_______ 3____ 4______ 5______ 6________ 7_ 8 9 10_____ 11_____ 12 13

Chunks:
  TruePositive nam [10,11] = Kultura Japonii (confidence=0.93)

(ChunkerEvaluator) Sentence #758 from 00102485 from sent3

Text  : Wstęp wolny .
Tokens: 1____ 2____ 3

Chunks:

2017-06-14 20:35:36,404 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 54 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102693.xml
(ChunkerEvaluator) Sentence #759 from 00102693 from sent1

Text  : dzień dobry , xxx , w czym mogę pomóc ?_
Tokens: 1____ 2____ 3 4__ 5 6 7___ 8___ 9____ 10

Chunks:

(ChunkerEvaluator) Sentence #760 from 00102693 from sent2

Text  : FILLER dzień dobry , proszę pana , chciała m uzyskać od pana taką informację FILLER proszę mi powiedzieć FILLER że __ __ __
Tokens: 1_____ 2____ 3____ 4 5_____ 6___ 7 8______ 9 10_____ 11 12__ 13__ 14________ 15____ 16____ 17 18________ 19____ 20 21 22 23

Chunks:

(ChunkerEvaluator) Sentence #761 from 00102693 from sent3

Text  : chodzi mi o ulgi FILLER chodzi mi o ulgi FILLER czy jeżeli dziecko ma bezpłatne przejazdy autobusowe i_ tramwajowe FILLER czy na tą szybką __ __ __ emzetkę FILLER dziecko też ma FILLER __ __ __ musi płacić bilet ?_
Tokens: 1_____ 2_ 3 4___ 5_____ 6_____ 7_ 8 9___ 10____ 11_ 12____ 13_____ 14 15_______ 16_______ 17________ 18 19________ 20____ 21_ 22 23 24____ 25 26 27 28_____ 29____ 30_____ 31_ 32 33____ 34 35 36 37__ 38____ 39___ 40

Chunks:

(ChunkerEvaluator) Sentence #762 from 00102693 from sent4

Text  : to znaczy na Szybką Kolej Miejską ?
Tokens: 1_ 2_____ 3_ 4_____ 5____ 6______ 7

Chunks:
  TruePositive nam [4,6] = Szybką Kolej Miejską (confidence=1.00)

(ChunkerEvaluator) Sentence #763 from 00102693 from sent5

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #764 from 00102693 from sent6

Text  : nie , proszę panią , te i te bezpłatne przejazdy również przysługują i_ na ten środek transportu ._ ._ ._
Tokens: 1__ 2 3_____ 4____ 5 6_ 7 8_ 9________ 10_______ 11_____ 12_________ 13 14 15_ 16____ 17________ 18 19 20

Chunks:

(ChunkerEvaluator) Sentence #765 from 00102693 from sent7

Text  : aha , FILLER dobrze , dobrze , bo wie pan bo dziecko ma po prostu FILLER bezpłatnie jeździ autobusami i_ tramwajami FILLER ja jestem jako jego opiekun __ __ __ po prostu chciała m_ się tylko dowiedzieć czy FILLER przysługuje nam taka ulga ,_ jeżeli dziecko ma taką legitymację FILLER i_ po prostu czy dziecko będzie ,_ może czy dziecko może jeździć na tą szybką kolej FILLER na tą legitymację ,_ tak ?_
Tokens: 1__ 2 3_____ 4_____ 5 6_____ 7 8_ 9__ 10_ 11 12_____ 13 14 15____ 16____ 17________ 18____ 19________ 20 21________ 22____ 23 24____ 25__ 26__ 27_____ 28 29 30 31 32____ 33_____ 34 35_ 36___ 37________ 38_ 39____ 40_________ 41_ 42__ 43__ 44 45____ 46_____ 47 48__ 49_________ 50____ 51 52 53____ 54_ 55_____ 56____ 57 58__ 59_ 60_____ 61__ 62_____ 63 64 65____ 66___ 67____ 68 69 70_________ 71 72_ 73

Chunks:

(ChunkerEvaluator) Sentence #766 from 00102693 from sent8

Text  : tak , proszę panią , ze względu na to ,_ że na Szybkiej Kolei Miejskiej obowiązuje ten sam regulamin ,_ co w_ pojazdach FILLER komunikacji miejskiej ,_ czyli autobusy ,_ tramwaje ,_ metro ._ ._ ._
Tokens: 1__ 2 3_____ 4____ 5 6_ 7______ 8_ 9_ 10 11 12 13______ 14___ 15_______ 16________ 17_ 18_ 19_______ 20 21 22 23_______ 24____ 25_________ 26_______ 27 28___ 29______ 30 31______ 32 33___ 34 35 36

Chunks:
  TruePositive nam [13,15] = Szybkiej Kolei Miejskiej (confidence=1.00)

(ChunkerEvaluator) Sentence #767 from 00102693 from sent9

Text  : aha
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #768 from 00102693 from sent10

Text  : to jest ten sam rodzaj regulaminu
Tokens: 1_ 2___ 3__ 4__ 5_____ 6_________

Chunks:

(ChunkerEvaluator) Sentence #769 from 00102693 from sent11

Text  : FILLER i proszę mi powiedzieć ona w ogóle jeździ co pół godziny ?_
Tokens: 1_____ 2 3_____ 4_ 5_________ 6__ 7 8____ 9_____ 10 11_ 12_____ 13

Chunks:

(ChunkerEvaluator) Sentence #770 from 00102693 from sent12

Text  : znaczy , tutaj jest tak nieregularnie co pół godziny ,_ co ,_ co czterdzieści minut czasami ,_ to zależy tutaj FILLER od pory dnia ,_ szczerze mówiąc
Tokens: 1_____ 2 3____ 4___ 5__ 6____________ 7_ 8__ 9______ 10 11 12 13 14__________ 15___ 16_____ 17 18 19____ 20___ 21____ 22 23__ 24__ 25 26______ 27____

Chunks:

(ChunkerEvaluator) Sentence #771 from 00102693 from sent13

Text  : aha , dobrze FILLER bardzo panu dziękuję
Tokens: 1__ 2 3_____ 4_____ 5_____ 6___ 7_______

Chunks:

(ChunkerEvaluator) Sentence #772 from 00102693 from sent14

Text  : życzę miłego dnia
Tokens: 1____ 2_____ 3___

Chunks:

(ChunkerEvaluator) Sentence #773 from 00102693 from sent15

Text  : proszę bardzo
Tokens: 1_____ 2_____

Chunks:

(ChunkerEvaluator) Sentence #774 from 00102693 from sent16

Text  : do widzenia
Tokens: 1_ 2_______

Chunks:

(ChunkerEvaluator) Sentence #775 from 00102693 from sent17

Text  : dziękuję
Tokens: 1_______

Chunks:

(ChunkerEvaluator) Sentence #776 from 00102693 from sent18

Text  : wzajemnie do widzenia
Tokens: 1________ 2_ 3_______

Chunks:

2017-06-14 20:35:36,479 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 55 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102710.xml
(ChunkerEvaluator) Sentence #777 from 00102710 from sent1

Text  : dzień dobry , xxx , w czym mogę pomóc
Tokens: 1____ 2____ 3 4__ 5 6 7___ 8___ 9____

Chunks:

(ChunkerEvaluator) Sentence #778 from 00102710 from sent2

Text  : dzień dobry
Tokens: 1____ 2____

Chunks:

(ChunkerEvaluator) Sentence #779 from 00102710 from sent3

Text  : FILLER proszę pana , ja mam takie zapytanie
Tokens: 1_____ 2_____ 3___ 4 5_ 6__ 7____ 8________

Chunks:

(ChunkerEvaluator) Sentence #780 from 00102710 from sent4

Text  : FILLER sto dwadzieścia osiem chodzi z Gwiaździstej FILLER czy ono je jeździ FILLER przejeżdża koło Dworca Zachodniego ?_
Tokens: 1_____ 2__ 3__________ 4____ 5_____ 6 7___________ 8_____ 9__ 10_ 11 12____ 13____ 14________ 15__ 16____ 17_________ 18

Chunks:
  TruePositive nam [7,7] = Gwiaździstej (confidence=0.83)
  TruePositive nam [16,17] = Dworca Zachodniego (confidence=1.00)

(ChunkerEvaluator) Sentence #781 from 00102710 from sent5

Text  : tak przejeżdża
Tokens: 1__ 2_________

Chunks:

(ChunkerEvaluator) Sentence #782 from 00102710 from sent6

Text  : _ _ _ przy stacji Wilsona , prawda ?
Tokens: 1 2 3 4___ 5_____ 6______ 7 8_____ 9

Chunks:
  TruePositive nam [6,6] = Wilsona (confidence=1.00)

(ChunkerEvaluator) Sentence #783 from 00102710 from sent7

Text  : tak i przez Plac Wilsona , tak
Tokens: 1__ 2 3____ 4___ 5______ 6 7__

Chunks:
  TruePositive nam [4,5] = Plac Wilsona (confidence=0.99)

(ChunkerEvaluator) Sentence #784 from 00102710 from sent8

Text  : dziękuję bardzo
Tokens: 1_______ 2_____

Chunks:

(ChunkerEvaluator) Sentence #785 from 00102710 from sent9

Text  : do widzenia
Tokens: 1_ 2_______

Chunks:

(ChunkerEvaluator) Sentence #786 from 00102710 from sent10

Text  : proszę bardzo
Tokens: 1_____ 2_____

Chunks:

(ChunkerEvaluator) Sentence #787 from 00102710 from sent11

Text  : do widzenia
Tokens: 1_ 2_______

Chunks:

2017-06-14 20:35:36,498 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 56 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00102711.xml
(ChunkerEvaluator) Sentence #788 from 00102711 from sent1

Text  : dzień dobry , xxx , słucham
Tokens: 1____ 2____ 3 4__ 5 6______

Chunks:

(ChunkerEvaluator) Sentence #789 from 00102711 from sent2

Text  : FILLER dzień dobry , proszę pana , mam taki dylemat na
Tokens: 1_____ 2____ 3____ 4 5_____ 6___ 7 8__ 9___ 10_____ 11

Chunks:

(ChunkerEvaluator) Sentence #790 from 00102711 from sent3

Text  : _ _ _ FILLER chodzi o przejazd starszych osób powyżej siedemdziesiątego piątego roku życia ,_ a_ wiem ,_ to jest bezpłatne w_ Warszawie
Tokens: 1 2 3 4_____ 5_____ 6 7_______ 8________ 9___ 10_____ 11_______________ 12_____ 13__ 14___ 15 16 17__ 18 19 20__ 21_______ 22 23_______

Chunks:
  TruePositive nam [23,23] = Warszawie (confidence=1.00)

(ChunkerEvaluator) Sentence #791 from 00102711 from sent4

Text  : tak
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #792 from 00102711 from sent5

Text  : FILLER ale czy to dotyczy ludzi , którzy przyjechali z_ Krakowa na przykład ?_
Tokens: 1_____ 2__ 3__ 4_ 5______ 6____ 7 8_____ 9__________ 10 11_____ 12 13______ 14

Chunks:
  TruePositive nam [11,11] = Krakowa (confidence=1.00)

(ChunkerEvaluator) Sentence #793 from 00102711 from sent6

Text  : proszę pana , dotyczy to każdej osoby , która ukończyła siedemdziesiąty rok życia niezależnie od miejsca zamieszkania
Tokens: 1_____ 2___ 3 4______ 5_ 6_____ 7____ 8 9____ 10_______ 11_____________ 12_ 13___ 14_________ 15 16_____ 17__________

Chunks:

(ChunkerEvaluator) Sentence #794 from 00102711 from sent7

Text  : rozumiem , dziękuję bardzo
Tokens: 1_______ 2 3_______ 4_____

Chunks:

(ChunkerEvaluator) Sentence #795 from 00102711 from sent8

Text  : bardzo proszę
Tokens: 1_____ 2_____

Chunks:

2017-06-14 20:35:36,522 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 57 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103580.xml
(ChunkerEvaluator) Sentence #796 from 00103580 from sent1

Text  : Czas mijał , pędziły elektrony po orbitach atomów w zegarach Sarkofagu ._
Tokens: 1___ 2____ 3 4______ 5________ 6_ 7_______ 8_____ 9 10______ 11_______ 12

Chunks:
  TruePositive nam [11,11] = Sarkofagu (confidence=1.00)

(ChunkerEvaluator) Sentence #797 from 00103580 from sent2

Text  : Ur , jakie znała Alienor , już nie istniało ._
Tokens: 1_ 2 3____ 4____ 5______ 6 7__ 8__ 9_______ 10

Chunks:
  TruePositive nam [5,5] = Alienor (confidence=0.98)
  FalseNegative nam [1,1] = Ur

(ChunkerEvaluator) Sentence #798 from 00103580 from sent3

Text  : Wielki Kapłan od stu lat już nie żył , od osiemdziesięciu lat nie żyły matrony -_ siostry Inany ,_ od pięćdziesięciu lat nie żył nikt ,_ kogo znała ,_ kogo kochała ,_ z_ kim dzieliła myśli i_ uczucia ._
Tokens: 1_____ 2_____ 3_ 4__ 5__ 6__ 7__ 8__ 9 10 11_____________ 12_ 13_ 14__ 15_____ 16 17_____ 18___ 19 20 21____________ 22_ 23_ 24_ 25__ 26 27__ 28___ 29 30__ 31_____ 32 33 34_ 35______ 36___ 37 38_____ 39

Chunks:
  TruePositive nam [1,2] = Wielki Kapłan (confidence=1.00)
  TruePositive nam [18,18] = Inany (confidence=0.98)

(ChunkerEvaluator) Sentence #799 from 00103580 from sent4

Text  : Ani ojciec Enmaker , ani ukochana matka , ani rodzone siostry ni brat ._
Tokens: 1__ 2_____ 3______ 4 5__ 6_______ 7____ 8 9__ 10_____ 11_____ 12 13__ 14

Chunks:
  TruePositive nam [3,3] = Enmaker (confidence=1.00)

(ChunkerEvaluator) Sentence #800 from 00103580 from sent5

Text  : Pozbawiły ją tego Prawo i Polityka .
Tokens: 1________ 2_ 3___ 4____ 5 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #801 from 00103580 from sent6

Text  : Zdana na łaskę Inany sunęła w przestrzeń w stronę układu Oblubieńca ._
Tokens: 1____ 2_ 3____ 4____ 5_____ 6 7_________ 8 9_____ 10____ 11________ 12

Chunks:
  TruePositive nam [4,4] = Inany (confidence=1.00)
  TruePositive nam [11,11] = Oblubieńca (confidence=0.95)

(ChunkerEvaluator) Sentence #802 from 00103580 from sent7

Text  : Śniła na zmianę jeden z siedmiu snów .
Tokens: 1____ 2_ 3_____ 4____ 5 6______ 7___ 8

Chunks:

(ChunkerEvaluator) Sentence #803 from 00103580 from sent8

Text  : * * *
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #804 from 00103580 from sent9

Text  : SNY
Tokens: 1__

Chunks:

(ChunkerEvaluator) Sentence #805 from 00103580 from sent10

Text  : Śni mi się , że jestem na wysokiej białej górze ,_ która wyrasta ponad chmury i_ wiatr ._
Tokens: 1__ 2_ 3__ 4 5_ 6_____ 7_ 8_______ 9_____ 10___ 11 12___ 13_____ 14___ 15____ 16 17___ 18

Chunks:

(ChunkerEvaluator) Sentence #806 from 00103580 from sent11

Text  : W srebrnym ogrodzie , na który pada tylko światło gwiazd ._
Tokens: 1 2_______ 3_______ 4 5_ 6____ 7___ 8____ 9______ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #807 from 00103580 from sent12

Text  : Liście bukowych drzew porywa szept mgieł .
Tokens: 1_____ 2_______ 3____ 4_____ 5____ 6____ 7

Chunks:

(ChunkerEvaluator) Sentence #808 from 00103580 from sent13

Text  : Każdy upadek liścia żegnam łzą .
Tokens: 1____ 2_____ 3_____ 4_____ 5__ 6

Chunks:

(ChunkerEvaluator) Sentence #809 from 00103580 from sent14

Text  : W tym śnie nie czuję lęku tylko cichą błogość ._
Tokens: 1 2__ 3___ 4__ 5____ 6___ 7____ 8____ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #810 from 00103580 from sent15

Text  : Nie boję się tak stać naga na zielonym runie otoczona ogrodem z_ buków ._
Tokens: 1__ 2___ 3__ 4__ 5___ 6___ 7_ 8_______ 9____ 10______ 11_____ 12 13___ 14

Chunks:

(ChunkerEvaluator) Sentence #811 from 00103580 from sent16

Text  : Złoto mych włosów zaplątuje się w smugi wilgoci .
Tokens: 1____ 2___ 3_____ 4________ 5__ 6 7____ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #812 from 00103580 from sent17

Text  : Wiem , że oglądam śmierć moich bliskich w zwierciadle sennego widziadła ._
Tokens: 1___ 2 3_ 4______ 5_____ 6____ 7_______ 8 9__________ 10_____ 11_______ 12

Chunks:

(ChunkerEvaluator) Sentence #813 from 00103580 from sent18

Text  : * * *
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #814 from 00103580 from sent19

Text  : Śni mi się też , że stoję nad brzegiem czystego morza ._
Tokens: 1__ 2_ 3__ 4__ 5 6_ 7____ 8__ 9_______ 10______ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #815 from 00103580 from sent20

Text  : Osamotniona po zejściu z białej góry .
Tokens: 1__________ 2_ 3______ 4 5_____ 6___ 7

Chunks:

(ChunkerEvaluator) Sentence #816 from 00103580 from sent21

Text  : Fale rytmicznie uderzają w srebrzysty brzeg .
Tokens: 1___ 2_________ 3_______ 4 5_________ 6____ 7

Chunks:

(ChunkerEvaluator) Sentence #817 from 00103580 from sent22

Text  : Śpiewam tren , łzy już wyschły .
Tokens: 1______ 2___ 3 4__ 5__ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #818 from 00103580 from sent23

Text  : Lubię ten sen .
Tokens: 1____ 2__ 3__ 4

Chunks:

(ChunkerEvaluator) Sentence #819 from 00103580 from sent24

Text  : * * *
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #820 from 00103580 from sent25

Text  : Trzeci sen to marzenie o Inanie .
Tokens: 1_____ 2__ 3_ 4_______ 5 6_____ 7

Chunks:
  TruePositive nam [6,6] = Inanie (confidence=0.99)

(ChunkerEvaluator) Sentence #821 from 00103580 from sent26

Text  : Weszła m na szczyt zigguratu w Ur , Wielki Kapłan wychodzi ze świątyni ,_ za nim służki -_ siostry ,_ niosąc hybrydowy mózg ._
Tokens: 1_____ 2 3_ 4_____ 5________ 6 7_ 8 9_____ 10____ 11______ 12 13______ 14 15 16_ 17____ 18 19_____ 20 21____ 22_______ 23__ 24

Chunks:
  TruePositive nam [7,7] = Ur (confidence=0.85)
  TruePositive nam [9,10] = Wielki Kapłan (confidence=0.66)

(ChunkerEvaluator) Sentence #822 from 00103580 from sent27

Text  : Kapłan zdradza mi sekret substratu centralnej jednostki .
Tokens: 1_____ 2______ 3_ 4_____ 5________ 6_________ 7________ 8

Chunks:

(ChunkerEvaluator) Sentence #823 from 00103580 from sent28

Text  : Od tej chwili staję się siostrą bogini .
Tokens: 1_ 2__ 3_____ 4____ 5__ 6______ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #824 from 00103580 from sent29

Text  : Od tej chwili bogini staje się moją siostrą .
Tokens: 1_ 2__ 3_____ 4_____ 5____ 6__ 7___ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #825 from 00103580 from sent30

Text  : * * *
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #826 from 00103580 from sent31

Text  : Nie wszystkie sny , niestety , są snami uspokojenia ._
Tokens: 1__ 2________ 3__ 4 5_______ 6 7_ 8____ 9__________ 10

Chunks:

(ChunkerEvaluator) Sentence #827 from 00103580 from sent32

Text  : Śnię bowiem katastrofę i płomienie Sarkofagu .
Tokens: 1___ 2_____ 3_________ 4 5________ 6________ 7

Chunks:
  TruePositive nam [6,6] = Sarkofagu (confidence=1.00)

(ChunkerEvaluator) Sentence #828 from 00103580 from sent33

Text  : Rozpada się na pół kokon jedwabny .
Tokens: 1______ 2__ 3_ 4__ 5____ 6_______ 7

Chunks:

(ChunkerEvaluator) Sentence #829 from 00103580 from sent34

Text  : Z najgłębszej komnaty wylatuje nagie ciało bez głowy .
Tokens: 1 2__________ 3______ 4_______ 5____ 6____ 7__ 8____ 9

Chunks:

(ChunkerEvaluator) Sentence #830 from 00103580 from sent35

Text  : Krzyczę :
Tokens: 1______ 2

Chunks:

(ChunkerEvaluator) Sentence #831 from 00103580 from sent36

Text  : - Inano , Siostro ma , Opiekunko , Pani z_ Ur ,_ uratuj mnie !_
Tokens: 1 2____ 3 4______ 5_ 6 7________ 8 9___ 10 11 12 13____ 14__ 15

Chunks:
  TruePositive nam [2,2] = Inano (confidence=0.75)
  TruePositive nam [11,11] = Ur (confidence=0.60)

(ChunkerEvaluator) Sentence #832 from 00103580 from sent37

Text  : Ale nikt nie słyszy moich słów , bezgłośnych w próżni ._
Tokens: 1__ 2___ 3__ 4_____ 5____ 6___ 7 8__________ 9 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #833 from 00103580 from sent38

Text  : Bataliony bojowych - botów leżą pokotem pokonane na korytarzach statku ._
Tokens: 1________ 2_______ 3 4____ 5___ 6______ 7_______ 8_ 9__________ 10____ 11

Chunks:

(ChunkerEvaluator) Sentence #834 from 00103580 from sent39

Text  : Przepalony pancerz kokonu pali się beztlenowym ogniem .
Tokens: 1_________ 2______ 3_____ 4___ 5__ 6__________ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #835 from 00103580 from sent40

Text  : Nagie ciało Alienor odlatuje w pustkę .
Tokens: 1____ 2____ 3______ 4_______ 5 6_____ 7

Chunks:
  TruePositive nam [3,3] = Alienor (confidence=0.97)

(ChunkerEvaluator) Sentence #836 from 00103580 from sent41

Text  : Nie ocaliła jej Inana wszechmogąca .
Tokens: 1__ 2______ 3__ 4____ 5___________ 6

Chunks:
  TruePositive nam [4,4] = Inana (confidence=0.92)

(ChunkerEvaluator) Sentence #837 from 00103580 from sent42

Text  : Wiem , że nie wszystkie Oblubienice docierają do krańca swej podróży ,_ dlatego ten sen jest najbardziej przykry ze wszystkich …_
Tokens: 1___ 2 3_ 4__ 5________ 6__________ 7________ 8_ 9_____ 10__ 11_____ 12 13_____ 14_ 15_ 16__ 17_________ 18_____ 19 20________ 21

Chunks:
  TruePositive nam [6,6] = Oblubienice (confidence=0.61)

(ChunkerEvaluator) Sentence #838 from 00103580 from sent43

Text  : * * *
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #839 from 00103580 from sent44

Text  : Piąty sen śni mi się coraz częściej .
Tokens: 1____ 2__ 3__ 4_ 5__ 6____ 7_______ 8

Chunks:

(ChunkerEvaluator) Sentence #840 from 00103580 from sent45

Text  : To sen z dzieciństwa .
Tokens: 1_ 2__ 3 4__________ 5

Chunks:

(ChunkerEvaluator) Sentence #841 from 00103580 from sent46

Text  : Z królewskiego dworu Akkadu .
Tokens: 1 2___________ 3____ 4_____ 5

Chunks:
  TruePositive nam [4,4] = Akkadu (confidence=0.97)

(ChunkerEvaluator) Sentence #842 from 00103580 from sent47

Text  : Przechadzamy się pod portykiem króla Gilgamesza , tam i sam ,_ ja i_ moje rodzeństwo ._
Tokens: 1___________ 2__ 3__ 4________ 5____ 6_________ 7 8__ 9 10_ 11 12 13 14__ 15________ 16

Chunks:
  TruePositive nam [6,6] = Gilgamesza (confidence=0.98)

(ChunkerEvaluator) Sentence #843 from 00103580 from sent48

Text  : Nagle dźwięk : - Alienor .
Tokens: 1____ 2_____ 3 4 5______ 6

Chunks:
  TruePositive nam [5,5] = Alienor (confidence=0.98)

(ChunkerEvaluator) Sentence #844 from 00103580 from sent49

Text  : Woła mnie matka .
Tokens: 1___ 2___ 3____ 4

Chunks:

(ChunkerEvaluator) Sentence #845 from 00103580 from sent50

Text  : Potem wszystko się zaciera .
Tokens: 1____ 2_______ 3__ 4______ 5

Chunks:

(ChunkerEvaluator) Sentence #846 from 00103580 from sent51

Text  : Początkowo sen był dłuższy , lecz z biegiem lat się skracał ._
Tokens: 1_________ 2__ 3__ 4______ 5 6___ 7 8______ 9__ 10_ 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #847 from 00103580 from sent52

Text  : Już nie pamiętam , ile miała m rodzonych sióstr ,_ ilu braci ,_ zapomniała m_ nawet imienia matki i_ dlaczego mnie woła ?_
Tokens: 1__ 2__ 3_______ 4 5__ 6____ 7 8________ 9_____ 10 11_ 12___ 13 14________ 15 16___ 17_____ 18___ 19 20______ 21__ 22__ 23

Chunks:

(ChunkerEvaluator) Sentence #848 from 00103580 from sent53

Text  : Z czasem sen ten stał się moim koszmarem .
Tokens: 1 2_____ 3__ 4__ 5___ 6__ 7___ 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #849 from 00103580 from sent54

Text  : Boję się , że skróci się tak bardzo , że nie będę już wiedzieć ,_ gdzie i_ kim jestem ._
Tokens: 1___ 2__ 3 4_ 5_____ 6__ 7__ 8_____ 9 10 11_ 12__ 13_ 14______ 15 16___ 17 18_ 19____ 20

Chunks:

(ChunkerEvaluator) Sentence #850 from 00103580 from sent55

Text  : Nie będę wiedziała , kogo , kto i po co woła …_
Tokens: 1__ 2___ 3________ 4 5___ 6 7__ 8 9_ 10 11__ 12

Chunks:

(ChunkerEvaluator) Sentence #851 from 00103580 from sent56

Text  : Że umysł mój zagubi się na ścieżkach gwiazd .
Tokens: 1_ 2____ 3__ 4_____ 5__ 6_ 7________ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #852 from 00103580 from sent57

Text  : Jestem pewna , że wtedy nadejdzie koniec , a mój srebrny liść opadnie na zielone runo ._
Tokens: 1_____ 2____ 3 4_ 5____ 6________ 7_____ 8 9 10_ 11_____ 12__ 13_____ 14 15_____ 16__ 17

Chunks:

(ChunkerEvaluator) Sentence #853 from 00103580 from sent58

Text  : O , Inano , strzeż moich myśli .
Tokens: 1 2 3____ 4 5_____ 6____ 7____ 8

Chunks:
  TruePositive nam [3,3] = Inano (confidence=1.00)

(ChunkerEvaluator) Sentence #854 from 00103580 from sent59

Text  : * * *
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #855 from 00103580 from sent60

Text  : Raz czy dwa śniła m o bogu Dumazzim .
Tokens: 1__ 2__ 3__ 4____ 5 6 7___ 8_______ 9

Chunks:
  TruePositive nam [8,8] = Dumazzim (confidence=1.00)

(ChunkerEvaluator) Sentence #856 from 00103580 from sent61

Text  : Sprzed jego zejścia do Podziemi .
Tokens: 1_____ 2___ 3______ 4_ 5_______ 6

Chunks:
  TruePositive nam [5,5] = Podziemi (confidence=0.96)

(ChunkerEvaluator) Sentence #857 from 00103580 from sent62

Text  : Pomagała m mu sadzić srebrne drzewa bukowe .
Tokens: 1_______ 2 3_ 4_____ 5______ 6_____ 7_____ 8

Chunks:

(ChunkerEvaluator) Sentence #858 from 00103580 from sent63

Text  : Modlili śmy się o deszcz .
Tokens: 1______ 2__ 3__ 4 5_____ 6

Chunks:

(ChunkerEvaluator) Sentence #859 from 00103580 from sent64

Text  : * * *
Tokens: 1 2 3

Chunks:

(ChunkerEvaluator) Sentence #860 from 00103580 from sent65

Text  : Jest wreszcie sen , w którym śni mi się Oblubieniec ._
Tokens: 1___ 2_______ 3__ 4 5 6_____ 7__ 8_ 9__ 10_________ 11

Chunks:
  TruePositive nam [10,10] = Oblubieniec (confidence=0.83)

(ChunkerEvaluator) Sentence #861 from 00103580 from sent66

Text  : Jest piękny i szlachetny jak inni Hitti .
Tokens: 1___ 2_____ 3 4_________ 5__ 6___ 7____ 8

Chunks:
  TruePositive nam [7,7] = Hitti (confidence=0.98)

(ChunkerEvaluator) Sentence #862 from 00103580 from sent67

Text  : Ma granatowe oczy , w których tlą się gwiazdy ._
Tokens: 1_ 2________ 3___ 4 5 6______ 7__ 8__ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #863 from 00103580 from sent68

Text  : Obejmuje mnie ciepłym ramieniem i wspomnienie o zimnie mojej lodowej komnaty w_ Sarkofagu odchodzi ._
Tokens: 1_______ 2___ 3______ 4________ 5 6__________ 7 8_____ 9____ 10_____ 11_____ 12 13_______ 14______ 15

Chunks:
  TruePositive nam [13,13] = Sarkofagu (confidence=1.00)

(ChunkerEvaluator) Sentence #864 from 00103580 from sent69

Text  : Robi mi się ciepło .
Tokens: 1___ 2_ 3__ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #865 from 00103580 from sent70

Text  : Jak w tamtym śnie o mnie i moim kochanku Dumazzim ._
Tokens: 1__ 2 3_____ 4___ 5 6___ 7 8___ 9_______ 10______ 11

Chunks:
  TruePositive nam [10,10] = Dumazzim (confidence=0.98)

(ChunkerEvaluator) Sentence #866 from 00103580 from sent71

Text  : Pod koniec tego snu myślę , że gdyby m tylko zechciała ,_ mogła by m_ się obudzić …_
Tokens: 1__ 2_____ 3___ 4__ 5____ 6 7_ 8____ 9 10___ 11_______ 12 13___ 14 15 16_ 17_____ 18

Chunks:

2017-06-14 20:35:36,701 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 58 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103670.xml
(ChunkerEvaluator) Sentence #867 from 00103670 from sent1

Text  : Pomysł , że planety są odpowiedzialne za różne nasze zabawne zachowania jest dla mnie nie do przyjęcia ._
Tokens: 1_____ 2 3_ 4______ 5_ 6_____________ 7_ 8____ 9____ 10_____ 11________ 12__ 13_ 14__ 15_ 16 17_______ 18

Chunks:

(ChunkerEvaluator) Sentence #868 from 00103670 from sent2

Text  : Z naukowego punktu widzenia jest to po prostu śmieszne ._
Tokens: 1 2________ 3_____ 4_______ 5___ 6_ 7_ 8_____ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #869 from 00103670 from sent3

Text  : Kontrowersyjny francuski eksperyment [ czyli badania przeprowadzone przez Michela Gauquelin'a ]_ ,_ w_ którym zbadano horoskopy 20 000 ludzi sugeruje występowanie związku między pozycjami planet w_ chwili narodzin ,_ a_ karierą sportową ._
Tokens: 1_____________ 2________ 3__________ 4 5____ 6______ 7_____________ 8____ 9______ 10_________ 11 12 13 14____ 15_____ 16_______ 17 18_ 19___ 20______ 21__________ 22_____ 23____ 24_______ 25____ 26 27____ 28______ 29 30 31_____ 32______ 33

Chunks:
  TruePositive nam [9,10] = Michela Gauquelin'a (confidence=1.00)

(ChunkerEvaluator) Sentence #870 from 00103670 from sent4

Text  : Will Keepin zauważył podobne korelacje w horoskopach naukowców i pisarzy ._
Tokens: 1___ 2_____ 3_______ 4______ 5________ 6 7__________ 8________ 9 10_____ 11

Chunks:
  TruePositive nam [1,2] = Will Keepin (confidence=0.90)

(ChunkerEvaluator) Sentence #871 from 00103670 from sent5

Text  : Sądzi on , że ten związek można wyjaśnić dzięki zaawansowanej matematyce ._
Tokens: 1____ 2_ 3 4_ 5__ 6______ 7____ 8_______ 9_____ 10___________ 11________ 12

Chunks:

(ChunkerEvaluator) Sentence #872 from 00103670 from sent6

Text  : Ważnych wskazówek pozwalających zrozumieć astrologię dostarczyła geometria fraktalna .
Tokens: 1______ 2________ 3____________ 4________ 5_________ 6__________ 7________ 8________ 9

Chunks:

(ChunkerEvaluator) Sentence #873 from 00103670 from sent7

Text  : Fraktale to układy składające się z zagnieżdżonych w sobie zbiorów samopodobnych struktur ._
Tokens: 1_______ 2_ 3_____ 4_________ 5__ 6 7_____________ 8 9____ 10_____ 11___________ 12______ 13

Chunks:

(ChunkerEvaluator) Sentence #874 from 00103670 from sent8

Text  : Weźmy np . fraktal zwany zbiorem Mandelbrota .
Tokens: 1____ 2_ 3 4______ 5____ 6______ 7__________ 8

Chunks:
  TruePositive nam [7,7] = Mandelbrota (confidence=0.97)

(ChunkerEvaluator) Sentence #875 from 00103670 from sent9

Text  : Ta figura geometryczna ma specyficzny kształt .
Tokens: 1_ 2_____ 3___________ 4_ 5__________ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #876 from 00103670 from sent10

Text  : Kolejne obrazki ( które ukazywały się na monitorze telewizora )_ pokazują jej fragmenty powiększone 10 razy ,_ 100 razy ,_ 1000 razy itd ._
Tokens: 1______ 2______ 3 4____ 5________ 6__ 7_ 8________ 9_________ 10 11______ 12_ 13_______ 14_________ 15 16__ 17 18_ 19__ 20 21__ 22__ 23_ 24

Chunks:

(ChunkerEvaluator) Sentence #877 from 00103670 from sent11

Text  : Każdy z nich zawiera zagnieżdżoną strukturę podobną do oryginału ._
Tokens: 1____ 2 3___ 4______ 5___________ 6________ 7______ 8_ 9________ 10

Chunks:

(ChunkerEvaluator) Sentence #878 from 00103670 from sent12

Text  : Powiększenie tego fragmentu 127 mln razy pokazuje dokładną replikę pierwotnego obrazka ,_ maleńką kopię całości ._
Tokens: 1___________ 2___ 3________ 4__ 5__ 6___ 7_______ 8_______ 9______ 10_________ 11_____ 12 13_____ 14___ 15_____ 16

Chunks:

(ChunkerEvaluator) Sentence #879 from 00103670 from sent13

Text  : W nauce nazywa się to zagnieżdżonymi w sobie zbiorami samopodobnych struktur ,_ ale to bardzo naukowy ,_ opisowy termin ._
Tokens: 1 2____ 3_____ 4__ 5_ 6_____________ 7 8____ 9_______ 10___________ 11______ 12 13_ 14 15____ 16_____ 17 18_____ 19____ 20

Chunks:

(ChunkerEvaluator) Sentence #880 from 00103670 from sent14

Text  : W istocie jest to odkrycie przez współczesną naukę starożytnej zasady alchemii i_ astrologii :_ co w_ górze to i_ na dole ._
Tokens: 1 2______ 3___ 4_ 5_______ 6____ 7__________ 8____ 9__________ 10____ 11______ 12 13________ 14 15 16 17___ 18 19 20 21__ 22

Chunks:

(ChunkerEvaluator) Sentence #881 from 00103670 from sent15

Text  : W taki sposób ujmowali to starożytni mistycy i mędrcy ._
Tokens: 1 2___ 3_____ 4_______ 5_ 6_________ 7______ 8 9_____ 10

Chunks:

(ChunkerEvaluator) Sentence #882 from 00103670 from sent16

Text  : Zasada ta mówi o tym , że istnieją ponadskalowe wzorce ,_ które mają swoje odbicie również w_ istocie ludzkiej ._
Tokens: 1_____ 2_ 3___ 4 5__ 6 7_ 8_______ 9___________ 10____ 11 12___ 13__ 14___ 15_____ 16_____ 17 18_____ 19______ 20

Chunks:

(ChunkerEvaluator) Sentence #883 from 00103670 from sent17

Text  : Innymi słowy Keepin uważa , że wzorce rządzące gwiazdami i_ planetami występują również we wzorcach ,_ które spotykamy w_ naszym życiu ._
Tokens: 1_____ 2____ 3_____ 4____ 5 6_ 7_____ 8_______ 9________ 10 11_______ 12_______ 13_____ 14 15______ 16 17___ 18_______ 19 20____ 21___ 22

Chunks:
  TruePositive nam [3,3] = Keepin (confidence=0.99)

(ChunkerEvaluator) Sentence #884 from 00103670 from sent18

Text  : Procesy , które przebiegają we wszechświecie toczą się również w_ nas samych ._
Tokens: 1______ 2 3____ 4__________ 5_ 6____________ 7____ 8__ 9______ 10 11_ 12____ 13

Chunks:

(ChunkerEvaluator) Sentence #885 from 00103670 from sent19

Text  : Nie jest tak , że planety mają moc sprawczą ._
Tokens: 1__ 2___ 3__ 4 5_ 6______ 7___ 8__ 9_______ 10

Chunks:

(ChunkerEvaluator) Sentence #886 from 00103670 from sent20

Text  : My i one znajdujemy się na różnych poziomach , ale rządzą nami te same zależności ._
Tokens: 1_ 2 3__ 4_________ 5__ 6_ 7______ 8________ 9 10_ 11____ 12__ 13 14__ 15________ 16

Chunks:

2017-06-14 20:35:36,781 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 59 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103700.xml
(ChunkerEvaluator) Sentence #887 from 00103700 from sent1

Text  : Nie dajmy " zaorać " naszej kultury !
Tokens: 1__ 2____ 3 4_____ 5 6_____ 7______ 8

Chunks:

(ChunkerEvaluator) Sentence #888 from 00103700 from sent2

Text  : Burmistrz Ozorkowa wyraził zgodę na organizację zlotu .
Tokens: 1________ 2_______ 3______ 4____ 5_ 6__________ 7____ 8

Chunks:
  TruePositive nam [2,2] = Ozorkowa (confidence=0.97)

(ChunkerEvaluator) Sentence #889 from 00103700 from sent3

Text  : Odbędzie się on jak co roku na boisku w lasku miejskim ._
Tokens: 1_______ 2__ 3_ 4__ 5_ 6___ 7_ 8_____ 9 10___ 11______ 12

Chunks:

(ChunkerEvaluator) Sentence #890 from 00103700 from sent4

Text  : Problem w tym że boisko zostało zmodernizowane przez KP Kotan Ozorków i_ podopiecznych Monaru ._
Tokens: 1______ 2 3__ 4_ 5_____ 6______ 7_____________ 8____ 9_ 10___ 11_____ 12 13___________ 14____ 15

Chunks:
  TruePositive nam [9,11] = KP Kotan Ozorków (confidence=1.00)
  TruePositive nam [14,14] = Monaru (confidence=0.99)

(ChunkerEvaluator) Sentence #891 from 00103700 from sent5

Text  : Jeszcze rok temu boisko było w fatalnym stanie . ._ ._
Tokens: 1______ 2__ 3___ 4_____ 5___ 6 7_______ 8_____ 9 10 11

Chunks:

(ChunkerEvaluator) Sentence #892 from 00103700 from sent6

Text  : a po zlocie motocykli nie można było go nazwać boiskiem tylko polem ._
Tokens: 1 2_ 3_____ 4________ 5__ 6____ 7___ 8_ 9_____ 10______ 11___ 12___ 13

Chunks:

(ChunkerEvaluator) Sentence #893 from 00103700 from sent7

Text  : Całą sprawą zaopiekował się Monar z Ozorkowa i KP Kotan Ozorków ktory przeznaczył sporą sumę pieniędzy na trawe ,_ malowanie ,_ bronowanie ,_ koszenie trawy ,_ wyrównanie nawierzchni ,_ kupno kosiarki ,_ zasilanie kosiarki benzyną dodatkowo codziennie strażacy wylewają 5000 litrów wody na boisko aby nawilzyć nawierzchnię i_ podlac trawę są to bardzo DUŻE pieniądze ._
Tokens: 1___ 2_____ 3__________ 4__ 5____ 6 7_______ 8 9_ 10___ 11_____ 12___ 13_________ 14___ 15__ 16_______ 17 18___ 19 20_______ 21 22________ 23 24______ 25___ 26 27________ 28_________ 29 30___ 31______ 32 33_______ 34______ 35_____ 36_______ 37________ 38______ 39______ 40__ 41____ 42__ 43 44____ 45_ 46______ 47__________ 48 49____ 50___ 51 52 53____ 54__ 55_______ 56

Chunks:
  TruePositive nam [5,5] = Monar (confidence=0.99)
  TruePositive nam [7,7] = Ozorkowa (confidence=0.78)
  TruePositive nam [9,11] = KP Kotan Ozorków (confidence=1.00)

(ChunkerEvaluator) Sentence #894 from 00103700 from sent8

Text  : Po zlocie motocykli boisko znowu zamieni się w ruinę ,_ i_ cały wysiłek Monaru ,_ Strażaków i_ KP Kotan Ozorków pójdzie na marne !_
Tokens: 1_ 2_____ 3________ 4_____ 5____ 6______ 7__ 8 9____ 10 11 12__ 13_____ 14____ 15 16_______ 17 18 19___ 20_____ 21_____ 22 23___ 24

Chunks:
  TruePositive nam [14,14] = Monaru (confidence=1.00)
  TruePositive nam [18,20] = KP Kotan Ozorków (confidence=1.00)
  FalsePositive nam [16,16] = Strażaków (confidence=0.50) (incorrect boundry)

(ChunkerEvaluator) Sentence #895 from 00103700 from sent9

Text  : Teraz boisko jest ośrodkiem rekreacyjnym dla czynnie uprawiających sport i_ chodzących na spacery ._
Tokens: 1____ 2_____ 3___ 4________ 5___________ 6__ 7______ 8____________ 9____ 10 11________ 12 13_____ 14

Chunks:

(ChunkerEvaluator) Sentence #896 from 00103700 from sent10

Text  : Jest cicho , miło i przyjemnie .
Tokens: 1___ 2____ 3 4___ 5 6_________ 7

Chunks:

(ChunkerEvaluator) Sentence #897 from 00103700 from sent11

Text  : Nie pozwólmy aby ten obiekt został zniszczony , nie trzeba chyba przypominać co dzieje się w_ mieście podczas trwania zlotu na boisku i_ w_ mieście ._
Tokens: 1__ 2_______ 3__ 4__ 5_____ 6_____ 7_________ 8 9__ 10____ 11___ 12_________ 13 14____ 15_ 16 17_____ 18_____ 19_____ 20___ 21 22____ 23 24 25_____ 26

Chunks:

(ChunkerEvaluator) Sentence #898 from 00103700 from sent12

Text  : Rok temu tragicznie zginęła 15 latka , wracająca ze zlotu ._
Tokens: 1__ 2___ 3_________ 4______ 5_ 6____ 7 8________ 9_ 10___ 11

Chunks:

(ChunkerEvaluator) Sentence #899 from 00103700 from sent13

Text  : Apelujemy więc o podpisanie się pod internetową petycją o "_ przeniesienie zlotu na inny obiekt "_ ._
Tokens: 1________ 2___ 3 4_________ 5__ 6__ 7__________ 8______ 9 10 11___________ 12___ 13 14__ 15____ 16 17

Chunks:

2017-06-14 20:35:36,840 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 60 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103704.xml
(ChunkerEvaluator) Sentence #900 from 00103704 from sent1

Text  : Czy oglądając Gwiezdne wojny , zastanawiali ście się kiedyś ,_ ile kosztować może zbroja jednej z_ najbardziej rozpoznawalnych postaci z_ filmów Star Wars –_ imperialnego szturmowca ?_
Tokens: 1__ 2________ 3_______ 4____ 5 6___________ 7___ 8__ 9_____ 10 11_ 12_______ 13__ 14____ 15____ 16 17_________ 18_____________ 19_____ 20 21____ 22__ 23__ 24 25__________ 26________ 27

Chunks:
  TruePositive nam [3,4] = Gwiezdne wojny (confidence=0.72)
  TruePositive nam [22,23] = Star Wars (confidence=1.00)

(ChunkerEvaluator) Sentence #901 from 00103704 from sent2

Text  : Odpowiedź na to pytanie uzyskać można na stronie Stormtrooper.pl ._
Tokens: 1________ 2_ 3_ 4______ 5______ 6____ 7_ 8______ 9______________ 10

Chunks:
  TruePositive nam [9,9] = Stormtrooper.pl (confidence=1.00)

(ChunkerEvaluator) Sentence #902 from 00103704 from sent3

Text  : Pełna zbroja , wraz ze wszystkimi rekwizytami typu karabin ,_ modulator głosu i_ inne ,_ według moich obliczeń dokonanych „_ w_ głowie ”_ ,_ kosztuje około 5_ ._ 000zł ._
Tokens: 1____ 2_____ 3 4___ 5_ 6_________ 7__________ 8___ 9______ 10 11_______ 12___ 13 14__ 15 16____ 17___ 18______ 19________ 20 21 22____ 23 24 25______ 26___ 27 28 29___ 30

Chunks:

(ChunkerEvaluator) Sentence #903 from 00103704 from sent4

Text  : Cena niemała – powstaje zatem drugie pytanie - czy ktoś to w_ ogóle w_ Polsce nosi ?_
Tokens: 1___ 2______ 3 4_______ 5____ 6_____ 7______ 8 9__ 10__ 11 12 13___ 14 15____ 16__ 17

Chunks:
  TruePositive nam [15,15] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #904 from 00103704 from sent5

Text  : Oczywiście że tak – członkowie Legionu 501 , organizacji działającej w_ 21 krajach i_ zrzeszającej około 3000 tys ._ członków ._
Tokens: 1_________ 2_ 3__ 4 5_________ 6______ 7__ 8 9__________ 10_________ 11 12 13_____ 14 15__________ 16___ 17__ 18_ 19 20______ 21

Chunks:
  TruePositive nam [6,7] = Legionu 501 (confidence=0.98)

(ChunkerEvaluator) Sentence #905 from 00103704 from sent6

Text  : Ta fanowska organizacja założona została w USA przez zagorzałego fana sagi –_ A_ Johnsona ._
Tokens: 1_ 2_______ 3__________ 4_______ 5______ 6 7__ 8____ 9__________ 10__ 11__ 12 13 14______ 15

Chunks:
  TruePositive nam [7,7] = USA (confidence=1.00)
  TruePositive nam [13,14] = A Johnsona (confidence=0.94)

(ChunkerEvaluator) Sentence #906 from 00103704 from sent7

Text  : Jej członkowie sami wykonują zbroje , korzystając z takich materiałów jak plastik ,_ ABS ,_ PCW i_ włókno szklane ._
Tokens: 1__ 2_________ 3___ 4_______ 5_____ 6 7__________ 8 9_____ 10________ 11_ 12_____ 13 14_ 15 16_ 17 18____ 19_____ 20

Chunks:
  TruePositive nam [14,14] = ABS (confidence=1.00)
  TruePositive nam [16,16] = PCW (confidence=0.79)

(ChunkerEvaluator) Sentence #907 from 00103704 from sent8

Text  : Co więcej , nosząc je , bardzo często są atrakcją konwentów jak również różnorakich akcji charytatywnych ._
Tokens: 1_ 2_____ 3 4_____ 5_ 6 7_____ 8_____ 9_ 10______ 11_______ 12_ 13_____ 14_________ 15___ 16____________ 17

Chunks:

(ChunkerEvaluator) Sentence #908 from 00103704 from sent9

Text  : Ich uczestnictwo w tego rodzaju imprezach widać również w Polsce ._
Tokens: 1__ 2___________ 3 4___ 5______ 6________ 7____ 8______ 9 10____ 11

Chunks:
  TruePositive nam [10,10] = Polsce (confidence=1.00)

(ChunkerEvaluator) Sentence #909 from 00103704 from sent10

Text  : Członkowie Polish Outpost – polskiego oddziału Legionu ( liczącego obecnie 21 członków )_ ,_ założonego przez Michała Heroka ,_ uczestniczyli między innymi w_ takich wydarzeniach ,_ jak targi gier komputerowych Warsaw Game Show ,_ premiera ostatniego filmu z_ serii Star Wars ,_ Wielka Orkiestra Świątecznej Pomocy 2005 i_ 2006 ._
Tokens: 1_________ 2_____ 3______ 4 5________ 6_______ 7______ 8 9________ 10_____ 11 12______ 13 14 15________ 16___ 17_____ 18____ 19 20___________ 21____ 22____ 23 24____ 25__________ 26 27_ 28___ 29__ 30___________ 31____ 32__ 33__ 34 35______ 36________ 37___ 38 39___ 40__ 41__ 42 43____ 44_______ 45_________ 46____ 47__ 48 49__ 50

Chunks:
  TruePositive nam [2,3] = Polish Outpost (confidence=0.99)
  TruePositive nam [7,7] = Legionu (confidence=1.00)
  TruePositive nam [17,18] = Michała Heroka (confidence=1.00)
  TruePositive nam [31,33] = Warsaw Game Show (confidence=1.00)
  TruePositive nam [40,41] = Star Wars (confidence=1.00)
  FalsePositive nam [43,47] = Wielka Orkiestra Świątecznej Pomocy 2005 (confidence=0.97) (incorrect boundry)
  FalseNegative nam [43,46] = Wielka Orkiestra Świątecznej Pomocy

(ChunkerEvaluator) Sentence #910 from 00103704 from sent11

Text  : Polski oddział pojawił się też na międzynarodowych imprezach związanych z_ Gwiezdnymi Wojnami (_ konwent Celebration III czy konwent Jedi -_ Con )_ ._
Tokens: 1_____ 2______ 3______ 4__ 5__ 6_ 7_______________ 8________ 9_________ 10 11________ 12_____ 13 14_____ 15_________ 16_ 17_ 18_____ 19__ 20 21_ 22 23

Chunks:
  TruePositive nam [11,12] = Gwiezdnymi Wojnami (confidence=0.99)
  TruePositive nam [15,16] = Celebration III (confidence=0.81)
  TruePositive nam [19,21] = Jedi - Con (confidence=0.97)

(ChunkerEvaluator) Sentence #911 from 00103704 from sent12

Text  : Przebieranie się fanów za postaci z ulubionych filmów to nic niezwykłego ._
Tokens: 1___________ 2__ 3____ 4_ 5______ 6 7_________ 8_____ 9_ 10_ 11_________ 12

Chunks:

(ChunkerEvaluator) Sentence #912 from 00103704 from sent13

Text  : Fani Gwiezdnych Wojen nie są pod tym względem żadnym wyjątkiem ._
Tokens: 1___ 2_________ 3____ 4__ 5_ 6__ 7__ 8_______ 9_____ 10_______ 11

Chunks:
  TruePositive nam [2,3] = Gwiezdnych Wojen (confidence=0.57)

(ChunkerEvaluator) Sentence #913 from 00103704 from sent14

Text  : Dlaczego zatem napisał em o Legionie 501 ?
Tokens: 1_______ 2____ 3______ 4_ 5 6_______ 7__ 8

Chunks:
  TruePositive nam [6,7] = Legionie 501 (confidence=0.97)

(ChunkerEvaluator) Sentence #914 from 00103704 from sent15

Text  : Przykład „ szturmowców amatorów ” pozwala mi zobrazować niezwykły „_ fanatyzm fanów ”_ ._
Tokens: 1_______ 2 3__________ 4_______ 5 6______ 7_ 8_________ 9________ 10 11______ 12___ 13 14

Chunks:

(ChunkerEvaluator) Sentence #915 from 00103704 from sent16

Text  : Członkowie różnych fanowskich organizacji , w imię zintensyfikowania swojego kontaktu z_ tekstem popkulturowym ,_ gotowi są ponosić niemałe koszty –_ choćby finansowe czy czasowe ._
Tokens: 1_________ 2______ 3_________ 4__________ 5 6 7___ 8________________ 9______ 10______ 11 12_____ 13___________ 14 15____ 16 17_____ 18_____ 19____ 20 21____ 22_______ 23_ 24_____ 25

Chunks:

(ChunkerEvaluator) Sentence #916 from 00103704 from sent17

Text  : Intensyfikacja kontaktu i wynikająca z tego przyjemność oraz satysfakcja ,_ w_ opisanym przeze mnie przypadku wynika z_ przebierania się ,_ tworzenia samego stroju czy możliwości publicznego zaprezentowania się na różnorodnych (_ często bardzo znaczących i_ prestiżowych )_ imprezach ._
Tokens: 1_____________ 2_______ 3 4_________ 5 6___ 7__________ 8___ 9__________ 10 11 12______ 13____ 14__ 15_______ 16____ 17 18__________ 19_ 20 21_______ 22____ 23____ 24_ 25________ 26_________ 27_____________ 28_ 29 30__________ 31 32____ 33____ 34________ 35 36__________ 37 38_______ 39

Chunks:

(ChunkerEvaluator) Sentence #917 from 00103704 from sent18

Text  : Przykładów „ fanatyzmu fanów ” znaleźć można oczywiście o wiele więcej ._
Tokens: 1_________ 2 3________ 4____ 5 6______ 7____ 8_________ 9 10___ 11____ 12

Chunks:

2017-06-14 20:35:36,933 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 61 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103742.xml
(ChunkerEvaluator) Sentence #918 from 00103742 from sent1

Text  : Nagrania z Wrocławia
Tokens: 1_______ 2 3________

Chunks:
  TruePositive nam [3,3] = Wrocławia (confidence=0.96)

(ChunkerEvaluator) Sentence #919 from 00103742 from sent2

Text  : Polskie Wydawnictwo Audiowizualne wreszcie umieściło w sieci nagrania z wrocławskiej odsłony “_ Kultury 2_ ._ 0_ ″_ ._
Tokens: 1______ 2__________ 3____________ 4_______ 5________ 6 7____ 8_______ 9 10__________ 11_____ 12 13_____ 14 15 16 17 18

Chunks:
  TruePositive nam [13,16] = Kultury 2 . 0 (confidence=0.98)
  FalseNegative nam [1,3] = Polskie Wydawnictwo Audiowizualne

(ChunkerEvaluator) Sentence #920 from 00103742 from sent3

Text  : Na tej stronie znajdziecie pliki mp3 z dwoma wykładami i_ trzema dyskusjami z_ tej konferencji ._
Tokens: 1_ 2__ 3______ 4__________ 5____ 6__ 7 8____ 9________ 10 11____ 12________ 13 14_ 15_________ 16

Chunks:
  FalseNegative nam [6,6] = mp3

(ChunkerEvaluator) Sentence #921 from 00103742 from sent4

Text  : O ile podczas paneli dyskutanci chyba nieco zbyt często odchodzili od tematyki spotkania ,_ a_ czasem chyba nie do końca świadomie głosili elitystyczne tezy zupełnie do idei “_ kultury 2_ ._ 0_ ″_ nieprzystające ,_ to na pewno warto posłuchać wykładów ._
Tokens: 1 2__ 3______ 4_____ 5_________ 6____ 7____ 8___ 9_____ 10________ 11 12______ 13_______ 14 15 16____ 17___ 18_ 19 20___ 21_______ 22_____ 23__________ 24__ 25______ 26 27__ 28 29_____ 30 31 32 33 34____________ 35 36 37 38___ 39___ 40_______ 41______ 42

Chunks:
  FalseNegative nam [29,32] = kultury 2 . 0

(ChunkerEvaluator) Sentence #922 from 00103742 from sent5

Text  : Szczególnie Derricka de Kerckhove , którego przed wizytą we Wrocławiu przyznaję nieszczególnie cenił em ._
Tokens: 1__________ 2_______ 3_ 4________ 5 6______ 7____ 8_____ 9_ 10_______ 11_______ 12____________ 13___ 14 15

Chunks:
  TruePositive nam [2,4] = Derricka de Kerckhove (confidence=0.99)
  TruePositive nam [10,10] = Wrocławiu (confidence=1.00)

(ChunkerEvaluator) Sentence #923 from 00103742 from sent6

Text  : Ten wykład sprawił , że zmienił em zdanie - polecam !_
Tokens: 1__ 2_____ 3______ 4 5_ 6______ 7_ 8_____ 9 10_____ 11

Chunks:

2017-06-14 20:35:36,961 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 62 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103749.xml
(ChunkerEvaluator) Sentence #924 from 00103749 from sent1

Text  : KINO : Piraci Z Karaibów Na Krańcu Świata
Tokens: 1___ 2 3_____ 4 5_______ 6_ 7_____ 8_____

Chunks:
  TruePositive nam [3,8] = Piraci Z Karaibów Na Krańcu Świata (confidence=0.92)

(ChunkerEvaluator) Sentence #925 from 00103749 from sent2

Text  : W cyklu " Wakacyjne Kino " - " Piraci z_ Karaibów na Krańcu Świata "_ ._
Tokens: 1 2____ 3 4________ 5___ 6 7 8 9_____ 10 11______ 12 13____ 14____ 15 16

Chunks:
  TruePositive nam [4,5] = Wakacyjne Kino (confidence=1.00)
  FalsePositive nam [9,11] = Piraci z Karaibów (confidence=0.92) (incorrect boundry)
  FalsePositive nam [13,14] = Krańcu Świata (confidence=0.98) (incorrect boundry)
  FalseNegative nam [9,14] = Piraci z Karaibów na Krańcu Świata

(ChunkerEvaluator) Sentence #926 from 00103749 from sent3

Text  : Wstęp : 5zł
Tokens: 1____ 2 3__

Chunks:

2017-06-14 20:35:36,970 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 63 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103871.xml
(ChunkerEvaluator) Sentence #927 from 00103871 from sent1

Text  : Miał tego już po dziurki w nosie .
Tokens: 1___ 2___ 3__ 4_ 5______ 6 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #928 from 00103871 from sent2

Text  : Na geografii po raz setny zignorowała jego pytanie !
Tokens: 1_ 2________ 3_ 4__ 5____ 6__________ 7___ 8______ 9

Chunks:

(ChunkerEvaluator) Sentence #929 from 00103871 from sent3

Text  : - Proszę pani – zapytał – czy to prawda ,_ że nasz glob krąży wokół Słońca ?_
Tokens: 1 2_____ 3___ 4 5______ 6 7__ 8_ 9_____ 10 11 12__ 13__ 14___ 15___ 16____ 17

Chunks:
  TruePositive nam [16,16] = Słońca (confidence=0.99)

(ChunkerEvaluator) Sentence #930 from 00103871 from sent4

Text  : W klasie zrobiło się cicho .
Tokens: 1 2_____ 3______ 4__ 5____ 6

Chunks:

(ChunkerEvaluator) Sentence #931 from 00103871 from sent5

Text  : Pani westchnęła :
Tokens: 1___ 2_________ 3

Chunks:

(ChunkerEvaluator) Sentence #932 from 00103871 from sent6

Text  : - Żywe Srebro , o co mnie znów pytasz ?_
Tokens: 1 2___ 3_____ 4 5 6_ 7___ 8___ 9_____ 10

Chunks:
  TruePositive nam [2,3] = Żywe Srebro (confidence=0.80)

(ChunkerEvaluator) Sentence #933 from 00103871 from sent7

Text  : - Czy wschody i zachody – ciągnął zamyślony - nie są tylko złudzeniem ?_
Tokens: 1 2__ 3______ 4 5______ 6 7______ 8________ 9 10_ 11 12___ 13________ 14

Chunks:

(ChunkerEvaluator) Sentence #934 from 00103871 from sent8

Text  : Związanym z ruchem obrotowym naszego świata ?
Tokens: 1________ 2 3_____ 4________ 5______ 6_____ 7

Chunks:

(ChunkerEvaluator) Sentence #935 from 00103871 from sent9

Text  : Pani najpierw zrobiła się blada na twarzy , potem nagle czerwona ,_ a_ potem znowu blada ._
Tokens: 1___ 2_______ 3______ 4__ 5____ 6_ 7_____ 8 9____ 10___ 11______ 12 13 14___ 15___ 16___ 17

Chunks:

(ChunkerEvaluator) Sentence #936 from 00103871 from sent10

Text  : - Usiądź , chłopcze .
Tokens: 1 2_____ 3 4_______ 5

Chunks:

(ChunkerEvaluator) Sentence #937 from 00103871 from sent11

Text  : Co ci znów strzeliło do głowy ?
Tokens: 1_ 2_ 3___ 4________ 5_ 6____ 7

Chunks:

(ChunkerEvaluator) Sentence #938 from 00103871 from sent12

Text  : Dziś na geografii będziemy mówić o bogactwach naturalnych Podziemia !_
Tokens: 1___ 2_ 3________ 4_______ 5____ 6 7_________ 8__________ 9________ 10

Chunks:
  FalsePositive nam [9,9] = Podziemia (confidence=0.70) (incorrect boundry)

(ChunkerEvaluator) Sentence #939 from 00103871 from sent13

Text  : O Słońcu będziecie uczyć się na studiach .
Tokens: 1 2_____ 3________ 4____ 5__ 6_ 7_______ 8

Chunks:
  FalseNegative nam [2,2] = Słońcu

(ChunkerEvaluator) Sentence #940 from 00103871 from sent14

Text  : - Ale …
Tokens: 1 2__ 3

Chunks:

(ChunkerEvaluator) Sentence #941 from 00103871 from sent15

Text  : - Żadnego „ ale ” .
Tokens: 1 2______ 3 4__ 5 6

Chunks:

(ChunkerEvaluator) Sentence #942 from 00103871 from sent16

Text  : Czy pamiętasz może , co opowiadała m wam ostatnio o_ złożach węgla drzewnego ?_
Tokens: 1__ 2________ 3___ 4 5_ 6_________ 7 8__ 9_______ 10 11_____ 12___ 13_______ 14

Chunks:

(ChunkerEvaluator) Sentence #943 from 00103871 from sent17

Text  : Usiadł zrezygnowany .
Tokens: 1_____ 2___________ 3

Chunks:

(ChunkerEvaluator) Sentence #944 from 00103871 from sent18

Text  : Z panią nie wygra .
Tokens: 1 2____ 3__ 4____ 5

Chunks:

(ChunkerEvaluator) Sentence #945 from 00103871 from sent19

Text  : Schował się za lasem rąk , które nagle wystrzeliły w_ powietrze ._
Tokens: 1______ 2__ 3_ 4____ 5__ 6 7____ 8____ 9__________ 10 11_______ 12

Chunks:

(ChunkerEvaluator) Sentence #946 from 00103871 from sent20

Text  : Pamiętał .
Tokens: 1_______ 2

Chunks:

(ChunkerEvaluator) Sentence #947 from 00103871 from sent21

Text  : Węgiel drzewny pochodzi z torfu , torf ze zgniłych roślin ,_ ruchy górotwórcze powodują osuwanie się części skorupy ziemskiej i_ wypiętrzanie innych części ,_ więc węgiel drzewny powstaje wtedy ,_ gdy ziemia zasysa martwe rośliny aż po czeluście swojego głodnego brzucha i_ mija dużo ,_ dużo ,_ dużo czasu …_
Tokens: 1_____ 2______ 3_______ 4 5____ 6 7___ 8_ 9_______ 10____ 11 12___ 13_________ 14______ 15______ 16_ 17____ 18_____ 19_______ 20 21__________ 22____ 23____ 24 25__ 26____ 27_____ 28______ 29___ 30 31_ 32____ 33____ 34____ 35_____ 36 37 38_______ 39_____ 40______ 41_____ 42 43__ 44__ 45 46__ 47 48__ 49___ 50

Chunks:

(ChunkerEvaluator) Sentence #948 from 00103871 from sent22

Text  : Ble , ble , ble …
Tokens: 1__ 2 3__ 4 5__ 6

Chunks:
  FalsePositive nam [1,1] = Ble (confidence=0.90) (incorrect boundry)

(ChunkerEvaluator) Sentence #949 from 00103871 from sent23

Text  : Koniec końców jednak dochodzimy zawsze do Słońca !
Tokens: 1_____ 2_____ 3_____ 4_________ 5_____ 6_ 7_____ 8

Chunks:
  TruePositive nam [7,7] = Słońca (confidence=0.96)

(ChunkerEvaluator) Sentence #950 from 00103871 from sent24

Text  : Czyż nie ?
Tokens: 1___ 2__ 3

Chunks:

(ChunkerEvaluator) Sentence #951 from 00103871 from sent25

Text  : To Słońce kazało roślinom wybujać , to Słońce dało im życiodajne moce ,_ bez niego nie było by roślin ,_ nie było by bagien ,_ nie powstał by torf i_ ruchy skorupy nie miały by czego porywać do wnętrza globu ._
Tokens: 1_ 2_____ 3_____ 4_______ 5______ 6 7_ 8_____ 9___ 10 11________ 12__ 13 14_ 15___ 16_ 17__ 18 19____ 20 21_ 22__ 23 24____ 25 26_ 27_____ 28 29__ 30 31___ 32_____ 33_ 34___ 35 36___ 37_____ 38 39_____ 40___ 41

Chunks:
  TruePositive nam [2,2] = Słońce (confidence=0.74)
  TruePositive nam [8,8] = Słońce (confidence=0.80)

(ChunkerEvaluator) Sentence #952 from 00103871 from sent26

Text  : Nie było by więc koniec końców węgla .
Tokens: 1__ 2___ 3_ 4___ 5_____ 6_____ 7____ 8

Chunks:

(ChunkerEvaluator) Sentence #953 from 00103871 from sent27

Text  : Żadnego „ ale ” !
Tokens: 1______ 2 3__ 4 5

Chunks:

(ChunkerEvaluator) Sentence #954 from 00103871 from sent28

Text  : - … i dlatego węgiel drzewny jest taki smaczny –_ kończył wypowiedź Krętek Ruda Głowa ,_ prymus klasowy ._
Tokens: 1 2 3 4______ 5_____ 6______ 7___ 8___ 9______ 10 11_____ 12_______ 13____ 14__ 15___ 16 17____ 18_____ 19

Chunks:
  TruePositive nam [13,15] = Krętek Ruda Głowa (confidence=1.00)

(ChunkerEvaluator) Sentence #955 from 00103871 from sent29

Text  : Wszystkie dzieci się zaśmiały , a Pani uśmiechnęła się promiennie ._
Tokens: 1________ 2_____ 3__ 4_______ 5 6 7___ 8__________ 9__ 10________ 11

Chunks:
  FalsePositive nam [7,7] = Pani (confidence=0.55) (incorrect boundry)

(ChunkerEvaluator) Sentence #956 from 00103871 from sent30

Text  : „ Ta lekcja jest już stracona ” – pomyślał Żywe Srebro i_ pogrążył się w_ marzeniach ._
Tokens: 1 2_ 3_____ 4___ 5__ 6_______ 7 8 9_______ 10__ 11____ 12 13______ 14_ 15 16________ 17

Chunks:
  TruePositive nam [10,11] = Żywe Srebro (confidence=1.00)

(ChunkerEvaluator) Sentence #957 from 00103871 from sent31

Text  : W marzeniach Żywe Srebro odkrywał tajemnicze połacie lądu , nanosił na mapy nieznane światu jeziora ,_ łapał w_ sieci ryby ,_ które nie figurowały w_ katalogach biologicznych ,_ był wszędzie tam ,_ gdzie nauka i_ rozum wołały go z_ otchłani niewiedzy ._
Tokens: 1 2_________ 3___ 4_____ 5_______ 6_________ 7______ 8___ 9 10_____ 11 12__ 13______ 14____ 15_____ 16 17___ 18 19___ 20__ 21 22___ 23_ 24________ 25 26________ 27___________ 28 29_ 30______ 31_ 32 33___ 34___ 35 36___ 37____ 38 39 40______ 41_______ 42

Chunks:
  TruePositive nam [3,4] = Żywe Srebro (confidence=1.00)

(ChunkerEvaluator) Sentence #958 from 00103871 from sent32

Text  : Żywe Srebro miał naturę wędrownika i buntownika , a umysł jasny i_ odważny ._
Tokens: 1___ 2_____ 3___ 4_____ 5_________ 6 7_________ 8 9 10___ 11___ 12 13_____ 14

Chunks:
  TruePositive nam [1,2] = Żywe Srebro (confidence=0.56)

(ChunkerEvaluator) Sentence #959 from 00103871 from sent33

Text  : Ostatnio zaś całym tym żywym umysłem zawładnęło Słońce .
Tokens: 1_______ 2__ 3____ 4__ 5____ 6______ 7_________ 8_____ 9

Chunks:
  TruePositive nam [8,8] = Słońce (confidence=0.98)

(ChunkerEvaluator) Sentence #960 from 00103871 from sent34

Text  : Chciał je zobaczyć .
Tokens: 1_____ 2_ 3_______ 4

Chunks:

(ChunkerEvaluator) Sentence #961 from 00103871 from sent35

Text  : Mieszkańcy Podziemia nie wychodzili w czasie dnia na zewnątrz ,_ a_ dzieciom nie wolno było opuszczać bezpiecznych kopalń i_ szybów nawet nocą ._
Tokens: 1_________ 2________ 3__ 4_________ 5 6_____ 7___ 8_ 9_______ 10 11 12______ 13_ 14___ 15__ 16_______ 17__________ 18____ 19 20____ 21___ 22__ 23

Chunks:
  TruePositive nam [2,2] = Podziemia (confidence=0.66)

(ChunkerEvaluator) Sentence #962 from 00103871 from sent36

Text  : Słońce było groźne , słońce świeciło żółtym światłem , podobnym do lamp helowo -_ wodorowych ,_ które widział na lekcji chemii ,_ było ciepłe i_ natarczywe ,_ wnikało do wnętrza oczu i_ zostawiało uczucie -_ wyczytał to z_ mądrych ksiąg w_ Bibliotece Królestwa -_ wypełnienia ._
Tokens: 1_____ 2___ 3_____ 4 5_____ 6_______ 7_____ 8_______ 9 10______ 11 12__ 13____ 14 15________ 16 17___ 18_____ 19 20____ 21____ 22 23__ 24____ 25 26________ 27 28_____ 29 30_____ 31__ 32 33________ 34_____ 35 36______ 37 38 39_____ 40___ 41 42________ 43_______ 44 45_________ 46

Chunks:
  TruePositive nam [1,1] = Słońce (confidence=0.55)
  TruePositive nam [42,43] = Bibliotece Królestwa (confidence=1.00)

(ChunkerEvaluator) Sentence #963 from 00103871 from sent37

Text  : Słońce też zamieniało karły w kamień .
Tokens: 1_____ 2__ 3_________ 4____ 5 6_____ 7

Chunks:
  FalseNegative nam [1,1] = Słońce

(ChunkerEvaluator) Sentence #964 from 00103871 from sent38

Text  : Dzieciom nie wolno było nawet myśleć o Słońcu .
Tokens: 1_______ 2__ 3____ 4___ 5____ 6_____ 7 8_____ 9

Chunks:
  TruePositive nam [8,8] = Słońcu (confidence=0.99)

(ChunkerEvaluator) Sentence #965 from 00103871 from sent39

Text  : To dlatego pani nie chciała poruszać tego tematu .
Tokens: 1_ 2______ 3___ 4__ 5______ 6_______ 7___ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #966 from 00103871 from sent40

Text  : Żadnego „ ale ” .
Tokens: 1______ 2 3__ 4 5

Chunks:

(ChunkerEvaluator) Sentence #967 from 00103871 from sent41

Text  : Dzwonek w ręce woźnego zabrzmiał bardzo radośnie .
Tokens: 1______ 2 3___ 4______ 5________ 6_____ 7_______ 8

Chunks:

(ChunkerEvaluator) Sentence #968 from 00103871 from sent42

Text  : Żywe Srebro wybiegł z innymi dziećmi z klasy na Hol Główny i_ pognał do domu ._
Tokens: 1___ 2_____ 3______ 4 5_____ 6______ 7 8____ 9_ 10_ 11____ 12 13____ 14 15__ 16

Chunks:
  TruePositive nam [1,2] = Żywe Srebro (confidence=1.00)
  FalsePositive nam [10,11] = Hol Główny (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #969 from 00103871 from sent43

Text  : Gdy podskakiwał , biegnąc ulicą Czerwonej Rady Mistrzów Górnictwa ,_ w_ głowie kotłowało mu się od myśli ,_ a_ jedna była szczególnie natarczywa :_ „_ Niedoczekanie wasze ,_ niedoczekanie …_ ”_
Tokens: 1__ 2__________ 3 4______ 5____ 6________ 7___ 8_______ 9________ 10 11 12____ 13_______ 14 15_ 16 17___ 18 19 20___ 21__ 22_________ 23________ 24 25 26___________ 27___ 28 29___________ 30 31

Chunks:
  TruePositive nam [6,9] = Czerwonej Rady Mistrzów Górnictwa (confidence=1.00)

2017-06-14 20:35:37,117 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 64 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103876.xml
(ChunkerEvaluator) Sentence #970 from 00103876 from sent1

Text  : Ojciec z piątku na sobotę miał sen .
Tokens: 1_____ 2 3_____ 4_ 5_____ 6___ 7__ 8

Chunks:

(ChunkerEvaluator) Sentence #971 from 00103876 from sent2

Text  : Wrócił z fabryki , z drugiej zmiany , nieco przed północą ._
Tokens: 1_____ 2 3______ 4 5 6______ 7_____ 8 9____ 10___ 11_____ 12

Chunks:

(ChunkerEvaluator) Sentence #972 from 00103876 from sent3

Text  : Wsunął się cicho do mieszkania i pod kołdrą położył zmęczone ciało ._
Tokens: 1_____ 2__ 3____ 4_ 5_________ 6 7__ 8_____ 9______ 10______ 11___ 12

Chunks:

(ChunkerEvaluator) Sentence #973 from 00103876 from sent4

Text  : Pod kołdrą nie było nikogo , bo matka nie żyła od dwóch lat ._
Tokens: 1__ 2_____ 3__ 4___ 5_____ 6 7_ 8____ 9__ 10__ 11 12___ 13_ 14

Chunks:

(ChunkerEvaluator) Sentence #974 from 00103876 from sent5

Text  : I zasnął .
Tokens: 1 2_____ 3

Chunks:

(ChunkerEvaluator) Sentence #975 from 00103876 from sent6

Text  : W tym piątkowo - sobotnim śnie śniło mu się ,_ że szedł jak co poniedziałek do kolektury totka ._
Tokens: 1 2__ 3_______ 4 5_______ 6___ 7____ 8_ 9__ 10 11 12___ 13_ 14 15__________ 16 17_______ 18___ 19

Chunks:

(ChunkerEvaluator) Sentence #976 from 00103876 from sent7

Text  : Budka znajduje się na rogu , przy zbiegu Wiśniowej i_ alei Pracy …_ bo to Wrocław był …_
Tokens: 1____ 2_______ 3__ 4_ 5___ 6 7___ 8_____ 9________ 10 11__ 12___ 13 14 15 16_____ 17_ 18

Chunks:
  TruePositive nam [9,9] = Wiśniowej (confidence=0.97)
  TruePositive nam [16,16] = Wrocław (confidence=1.00)
  FalsePositive nam [12,12] = Pracy (confidence=0.56) (incorrect boundry)
  FalseNegative nam [11,12] = alei Pracy

(ChunkerEvaluator) Sentence #977 from 00103876 from sent8

Text  : Na klatce spotyka sprzątaczkę ( dziwne , że w poniedziałek ,_ a_ nie w_ środę –_ ale sen nie jawa )_ ,_ wymienia z_ nią poglądy na temat nowego prezydenta i_ korków na ulicy (_ ale co tam kobiety wiedzą o_ polityce )_ ._
Tokens: 1_ 2_____ 3______ 4__________ 5 6_____ 7 8_ 9 10__________ 11 12 13_ 14 15___ 16 17_ 18_ 19_ 20__ 21 22 23______ 24 25_ 26_____ 27 28___ 29____ 30________ 31 32____ 33 34___ 35 36_ 37 38_ 39_____ 40____ 41 42______ 43 44

Chunks:

(ChunkerEvaluator) Sentence #978 from 00103876 from sent9

Text  : Była godzina dziewiąta rano .
Tokens: 1___ 2______ 3________ 4___ 5

Chunks:

(ChunkerEvaluator) Sentence #979 from 00103876 from sent10

Text  : Za drzwiami zimny październikowy poranek .
Tokens: 1_ 2_______ 3____ 4_____________ 5______ 6

Chunks:

(ChunkerEvaluator) Sentence #980 from 00103876 from sent11

Text  : Zatłoczona Grabiszyńska .
Tokens: 1_________ 2___________ 3

Chunks:
  TruePositive nam [2,2] = Grabiszyńska (confidence=0.80)

(ChunkerEvaluator) Sentence #981 from 00103876 from sent12

Text  : Klaksony i smród spalin .
Tokens: 1_______ 2 3____ 4_____ 5

Chunks:

(ChunkerEvaluator) Sentence #982 from 00103876 from sent13

Text  : Mruczący coś gniewnie pod nosem zasmarkani kierowcy .
Tokens: 1_______ 2__ 3_______ 4__ 5____ 6_________ 7_______ 8

Chunks:

(ChunkerEvaluator) Sentence #983 from 00103876 from sent14

Text  : Wróble ćwierkające nad głowami spóźnionych uczniów i uczennic spieszących do szkoły nr 109 ._
Tokens: 1_____ 2__________ 3__ 4______ 5__________ 6______ 7 8_______ 9__________ 10 11____ 12 13_ 14

Chunks:

(ChunkerEvaluator) Sentence #984 from 00103876 from sent15

Text  : Gołębie robiące z platanów na chodnik .
Tokens: 1______ 2______ 3 4_______ 5_ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #985 from 00103876 from sent16

Text  : Było tam za tymi drzwiami o dziewiątej w poniedziałek dokumentnie wszystko ,_ co się rusza ,_ fruwa i_ pełza po tym padole łez ._
Tokens: 1___ 2__ 3_ 4___ 5_______ 6 7_________ 8 9___________ 10_________ 11______ 12 13 14_ 15___ 16 17___ 18 19___ 20 21_ 22____ 23_ 24

Chunks:

(ChunkerEvaluator) Sentence #986 from 00103876 from sent17

Text  : Kiedy zatem ojciec podzielił się swoim smutkiem ze sprzątaczką ,_ wyszedł ,_ skręcił w_ lewo i_ nie napotkawszy nikogo ze znajomych ,_ dotarł do kolektury ._
Tokens: 1____ 2____ 3_____ 4________ 5__ 6____ 7_______ 8_ 9__________ 10 11_____ 12 13_____ 14 15__ 16 17_ 18_________ 19____ 20 21_______ 22 23____ 24 25_______ 26

Chunks:

(ChunkerEvaluator) Sentence #987 from 00103876 from sent18

Text  : ( Jak sen to sen .
Tokens: 1 2__ 3__ 4_ 5__ 6

Chunks:

(ChunkerEvaluator) Sentence #988 from 00103876 from sent19

Text  : W naszym bloku mieszkało mnóstwo bezsennych emerytów – teraz już pewnie nie żyją ,_ poza panem Cześkiem może ,_ twardy chłop -_ o_ dziewiątej rano spacerują z_ pieskami i_ żałosnymi kotami na smyczach …_
Tokens: 1 2_____ 3____ 4________ 5______ 6_________ 7_______ 8 9____ 10_ 11____ 12_ 13__ 14 15__ 16___ 17______ 18__ 19 20____ 21___ 22 23 24________ 25__ 26_______ 27 28______ 29 30_______ 31____ 32 33______ 34

Chunks:
  TruePositive nam [17,17] = Cześkiem (confidence=0.99)

(ChunkerEvaluator) Sentence #989 from 00103876 from sent20

Text  : Ale mówię , że sen to był – i w_ tym śnie nie napotkał ani starszej pani z_ trzeciego w_ naszej klatce ,_ ani pana Cześka z_ sąsiedniej bramy ,_ ani sióstr bliźniaczek ,_ starych panien ,_ z_ bramy nr 11 …_
Tokens: 1__ 2____ 3 4_ 5__ 6_ 7__ 8 9 10 11_ 12__ 13_ 14______ 15_ 16______ 17__ 18 19_______ 20 21____ 22____ 23 24_ 25__ 26____ 27 28________ 29___ 30 31_ 32____ 33_________ 34 35_____ 36____ 37 38 39___ 40 41 42

Chunks:
  TruePositive nam [26,26] = Cześka (confidence=0.92)

(ChunkerEvaluator) Sentence #990 from 00103876 from sent21

Text  : Tak śnił … )
Tokens: 1__ 2___ 3 4

Chunks:

(ChunkerEvaluator) Sentence #991 from 00103876 from sent22

Text  : W kolekturze pan Władek : - Dzień dobry , panie Stasiu ._
Tokens: 1 2_________ 3__ 4_____ 5 6 7____ 8____ 9 10___ 11____ 12

Chunks:
  TruePositive nam [4,4] = Władek (confidence=1.00)
  TruePositive nam [11,11] = Stasiu (confidence=0.99)

(ChunkerEvaluator) Sentence #992 from 00103876 from sent23

Text  : Jakie w tym tygodniu cyfry obstawiamy ?
Tokens: 1____ 2 3__ 4_______ 5____ 6_________ 7

Chunks:

(ChunkerEvaluator) Sentence #993 from 00103876 from sent24

Text  : I ojciec zaznaczył .
Tokens: 1 2_____ 3________ 4

Chunks:

(ChunkerEvaluator) Sentence #994 from 00103876 from sent25

Text  : - Może będzie coś , panie Stasiu – mówił pan Władek cicho ,_ nie otwierając ust ,_ przez nos chyba (_ we śnie pryska złudzenie realizmu )_ ._
Tokens: 1 2___ 3_____ 4__ 5 6____ 7_____ 8 9____ 10_ 11____ 12___ 13 14_ 15________ 16_ 17 18___ 19_ 20___ 21 22 23__ 24____ 25_______ 26______ 27 28

Chunks:
  TruePositive nam [7,7] = Stasiu (confidence=1.00)
  TruePositive nam [11,11] = Władek (confidence=0.96)

(ChunkerEvaluator) Sentence #995 from 00103876 from sent26

Text  : Więc mówił pan Władek przez nos czy z brzucha ,_ patrząc spod czarnych jak węgiel brwi czerwonymi jak krew oczyma (_ ojciec nie potrafił tego wyjaśnić )_ :_
Tokens: 1___ 2____ 3__ 4_____ 5____ 6__ 7__ 8 9______ 10 11_____ 12__ 13______ 14_ 15____ 16__ 17________ 18_ 19__ 20____ 21 22____ 23_ 24______ 25__ 26______ 27 28

Chunks:
  TruePositive nam [4,4] = Władek (confidence=0.99)

(ChunkerEvaluator) Sentence #996 from 00103876 from sent27

Text  : - Będzie coś z tego , panie Stanisławie , będzie coś z_ tego ,_ w_ rzeczy samej ,_ będziieeeccośśśissteeee …_ goooobe …_ ndzieecośśśiiiiiissssssteeeee …_
Tokens: 1 2_____ 3__ 4 5___ 6 7____ 8__________ 9 10____ 11_ 12 13__ 14 15 16____ 17___ 18 19_____________________ 20 21_____ 22 23___________________________ 24

Chunks:
  TruePositive nam [8,8] = Stanisławie (confidence=1.00)

2017-06-14 20:35:37,227 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 65 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00103925.xml
(ChunkerEvaluator) Sentence #997 from 00103925 from sent1

Text  : Zawsze myślał em to po prostu interesujący eksperyment myślowy ._
Tokens: 1_____ 2_____ 3_ 4_ 5_ 6_____ 7___________ 8__________ 9______ 10

Chunks:

(ChunkerEvaluator) Sentence #998 from 00103925 from sent2

Text  : Aż niedawno okazało się , że niekoniecznie bo tak mniej więcej sytuacja zaistniała niedawno na Węgrzech ._
Tokens: 1_ 2_______ 3______ 4__ 5 6_ 7____________ 8_ 9__ 10___ 11____ 12______ 13________ 14______ 15 16______ 17

Chunks:
  TruePositive nam [16,16] = Węgrzech (confidence=1.00)

(ChunkerEvaluator) Sentence #999 from 00103925 from sent3

Text  : O wiceprzewodniczącym Jobbiku Csanádzie Szegedi okazało się , że jest pochodzenia żydowskiego ze strony matki ._
Tokens: 1 2__________________ 3______ 4________ 5______ 6______ 7__ 8 9_ 10__ 11_________ 12_________ 13 14____ 15___ 16

Chunks:
  FalsePositive nam [3,5] = Jobbiku Csanádzie Szegedi (confidence=1.00) (incorrect boundry)
  FalseNegative nam [3,3] = Jobbiku
  FalseNegative nam [4,5] = Csanádzie Szegedi

(ChunkerEvaluator) Sentence #1000 from 00103925 from sent4

Text  : Jego babcia była w Oświęcimiu a dziadka posłano do oddziałów pracy ,_ do których kierowano żydów i_ niepożądanych politycznie ._
Tokens: 1___ 2_____ 3___ 4 5_________ 6 7______ 8______ 9_ 10_______ 11___ 12 13 14_____ 15_______ 16___ 17 18___________ 19_________ 20

Chunks:
  TruePositive nam [5,5] = Oświęcimiu (confidence=1.00)
  FalseNegative nam [16,16] = żydów

(ChunkerEvaluator) Sentence #1001 from 00103925 from sent5

Text  : Jak wielu żydów po wojnie dziadkowie Szegedi ukrywali swoje pochodzenie przed jego matką stąd sam Szegedi wzrastał w_ nieświadomości swoich żydowskich korzeni ._
Tokens: 1__ 2____ 3____ 4_ 5_____ 6_________ 7______ 8_______ 9____ 10_________ 11___ 12__ 13___ 14__ 15_ 16_____ 17______ 18 19____________ 20____ 21________ 22_____ 23

Chunks:
  TruePositive nam [7,7] = Szegedi (confidence=1.00)
  TruePositive nam [16,16] = Szegedi (confidence=1.00)
  FalseNegative nam [3,3] = żydów

(ChunkerEvaluator) Sentence #1002 from 00103925 from sent6

Text  : Jak utrzymuje dowiedział się o tym dopiero w grudniu zeszłego roku choć w_ mediach pojawiło się wcześniejsze nagranie z_ 2010 ,_ w_ którym ma namawiać swojego rozmówcę by nie ujawniał jego pochodzenia oferując w_ zamian za „_ korzyści związane z_ pieniędzmi unijnymi ”_ :_ Szegedi jest posłem do parlamentu europejskiego ._
Tokens: 1__ 2________ 3_________ 4__ 5 6__ 7______ 8 9______ 10______ 11__ 12__ 13 14_____ 15______ 16_ 17__________ 18______ 19 20__ 21 22 23____ 24 25______ 26_____ 27______ 28 29_ 30______ 31__ 32_________ 33______ 34 35____ 36 37 38______ 39______ 40 41________ 42______ 43 44 45_____ 46__ 47____ 48 49________ 50___________ 51

Chunks:
  TruePositive nam [45,45] = Szegedi (confidence=0.89)

(ChunkerEvaluator) Sentence #1003 from 00103925 from sent7

Text  : Od tej pory wypadki toczą się interesująco .
Tokens: 1_ 2__ 3___ 4______ 5____ 6__ 7___________ 8

Chunks:

(ChunkerEvaluator) Sentence #1004 from 00103925 from sent8

Text  : Szeredi w lipcu zrezygnował z wszystkich funcji , które pełnił w_ Jobbiku oraz wystąpił z_ partii by „_ nie szkodzić partii poprzez ataki na jego osobę ”_ ._
Tokens: 1______ 2 3____ 4__________ 5 6_________ 7_____ 8 9____ 10____ 11 12_____ 13__ 14______ 15 16____ 17 18 19_ 20______ 21____ 22_____ 23___ 24 25__ 26___ 27 28

Chunks:
  TruePositive nam [12,12] = Jobbiku (confidence=1.00)
  FalseNegative nam [1,1] = Szeredi

(ChunkerEvaluator) Sentence #1005 from 00103925 from sent9

Text  : Później z partii wystąpił również jego brat .
Tokens: 1______ 2 3_____ 4_______ 5______ 6___ 7___ 8

Chunks:

(ChunkerEvaluator) Sentence #1006 from 00103925 from sent10

Text  : Sam Szegedi spotkał się z rabinem , przeprosił za swoje poprzednie wypowiedzi ,_ którymi mógł obrazić węgierskich żydów ,_ oświadczył ,_ że chce pojechać do Oświęcimia by złożyć hołd ofiarom a_ także zaczął uczęszczać na wolny uniwerytet żydowski ._
Tokens: 1__ 2______ 3______ 4__ 5 6______ 7 8_________ 9_ 10___ 11________ 12________ 13 14_____ 15__ 16_____ 17_________ 18___ 19 20________ 21 22 23__ 24______ 25 26________ 27 28____ 29__ 30_____ 31 32___ 33____ 34________ 35 36___ 37________ 38______ 39

Chunks:
  TruePositive nam [2,2] = Szegedi (confidence=0.91)
  TruePositive nam [26,26] = Oświęcimia (confidence=0.92)
  FalseNegative nam [18,18] = żydów

(ChunkerEvaluator) Sentence #1007 from 00103925 from sent11

Text  : W parlamencie europejskim powiedział , że o Izraelu można mówić tylko z_ szacunkiem ._
Tokens: 1 2__________ 3__________ 4_________ 5 6_ 7 8______ 9____ 10___ 11___ 12 13________ 14

Chunks:
  TruePositive nam [8,8] = Izraelu (confidence=1.00)

(ChunkerEvaluator) Sentence #1008 from 00103925 from sent12

Text  : Przedstawiciele Jobbiku zażądali by Szegedi ustąpił również ze stanowiska posła do parlamentu europejskiego ._
Tokens: 1______________ 2______ 3_______ 4_ 5______ 6______ 7______ 8_ 9_________ 10___ 11 12________ 13___________ 14

Chunks:
  TruePositive nam [2,2] = Jobbiku (confidence=1.00)
  TruePositive nam [5,5] = Szegedi (confidence=0.99)

(ChunkerEvaluator) Sentence #1009 from 00103925 from sent13

Text  : Przywódca partii Gábor Vona oświadczył , że nie ma to nic wspólnego z_ pochodzeniem Szegediego ,_ problemem natomiast jest kłamanie na ten temat ,_ którego on się dopuścił ._
Tokens: 1________ 2_____ 3____ 4___ 5_________ 6 7_ 8__ 9_ 10 11_ 12_______ 13 14__________ 15________ 16 17_______ 18_______ 19__ 20______ 21 22_ 23___ 24 25_____ 26 27_ 28______ 29

Chunks:
  TruePositive nam [3,4] = Gábor Vona (confidence=1.00)
  TruePositive nam [15,15] = Szegediego (confidence=0.99)

(ChunkerEvaluator) Sentence #1010 from 00103925 from sent14

Text  : Działacze Ruchu Strażników Ojczyzny Karpackiej ( Kárpát Haza Őrei Mozgalom )_ ,_ często byli działacze Jobbiku ,_ którzy zostali wykluczeni z_ partii lub ją sami opuścili ,_ parę dni temu zorganizowali przed domem Szegediego demonstrację ._
Tokens: 1________ 2____ 3_________ 4_______ 5_________ 6 7_____ 8___ 9___ 10______ 11 12 13____ 14__ 15_______ 16_____ 17 18____ 19_____ 20________ 21 22____ 23_ 24 25__ 26______ 27 28__ 29_ 30__ 31___________ 32___ 33___ 34________ 35__________ 36

Chunks:
  TruePositive nam [2,5] = Ruchu Strażników Ojczyzny Karpackiej (confidence=0.99)
  TruePositive nam [7,10] = Kárpát Haza Őrei Mozgalom (confidence=0.99)
  TruePositive nam [16,16] = Jobbiku (confidence=1.00)
  TruePositive nam [34,34] = Szegediego (confidence=0.96)

(ChunkerEvaluator) Sentence #1011 from 00103925 from sent15

Text  : Ich celem jest skłonienie go do ustąpienia z parlamentu europejskiego a_ także przekazanie mu ,_ że „_ nie jest pożądaną osobą w_ ojczyźnie karpackiej ”_ ._
Tokens: 1__ 2____ 3___ 4_________ 5_ 6_ 7_________ 8 9_________ 10___________ 11 12___ 13_________ 14 15 16 17 18_ 19__ 20______ 21___ 22 23_______ 24________ 25 26

Chunks:

2017-06-14 20:35:37,321 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 66 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107241.xml
(ChunkerEvaluator) Sentence #1012 from 00107241 from sent1

Text  : 2005-03-22 : USA : Terri Schiavo nie zostanie podłączona do aparatury podtrzymującej życie ._
Tokens: 1_________ 2 3__ 4 5____ 6______ 7__ 8_______ 9_________ 10 11_______ 12____________ 13___ 14

Chunks:
  TruePositive nam [3,3] = USA (confidence=1.00)
  TruePositive nam [5,6] = Terri Schiavo (confidence=1.00)

(ChunkerEvaluator) Sentence #1013 from 00107241 from sent2

Text  : Sąd federalny w Tampie na Florydzie podjął decyzję , że Terri Schiavo nie zostanie podłączona do aparatury zapewniającej sztuczne odżywianie i_ umrze z_ powodu niedostarczenia do organizmu wody i_ pożywienia ._
Tokens: 1__ 2________ 3 4_____ 5_ 6________ 7_____ 8______ 9 10 11___ 12_____ 13_ 14______ 15________ 16 17_______ 18___________ 19______ 20________ 21 22___ 23 24____ 25_____________ 26 27_______ 28__ 29 30________ 31

Chunks:
  TruePositive nam [4,4] = Tampie (confidence=1.00)
  TruePositive nam [6,6] = Florydzie (confidence=0.99)
  TruePositive nam [11,12] = Terri Schiavo (confidence=1.00)

(ChunkerEvaluator) Sentence #1014 from 00107241 from sent3

Text  : Rodzina Terri zapowiedziała , że będzie się odwoływać do sądu wyższej instancji ._
Tokens: 1______ 2____ 3____________ 4 5_ 6_____ 7__ 8________ 9_ 10__ 11_____ 12_______ 13

Chunks:
  FalsePositive nam [1,2] = Rodzina Terri (confidence=0.53) (incorrect boundry)
  FalseNegative nam [2,2] = Terri

2017-06-14 20:35:37,337 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 67 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107272.xml
(ChunkerEvaluator) Sentence #1015 from 00107272 from sent1

Text  : 2006-12-04 : " Seks - afera " w Samoobronie
Tokens: 1_________ 2 3 4___ 5 6____ 7 8 9__________

Chunks:
  TruePositive nam [9,9] = Samoobronie (confidence=1.00)
  FalsePositive nam [4,6] = Seks - afera (confidence=1.00) (incorrect boundry)

(ChunkerEvaluator) Sentence #1016 from 00107272 from sent2

Text  : Poniedziałkowa Gazeta Wyborcza opublikowała artykuł , w którym była radna Samoobrony i_ dyrektorka biura poselskiego Stanisława Łyżwińskiego Aneta Krawczyk przyznaje ,_ że dostała pracę w_ Samoobronie w_ zamian za usługi seksualne dla przewodniczącego Andrzeja Leppera oraz posła Stanisława Łyżwińskiego ._
Tokens: 1_____________ 2_____ 3_______ 4___________ 5______ 6 7 8_____ 9___ 10___ 11________ 12 13________ 14___ 15_________ 16________ 17__________ 18___ 19______ 20_______ 21 22 23_____ 24___ 25 26_________ 27 28____ 29 30____ 31_______ 32_ 33______________ 34______ 35_____ 36__ 37___ 38________ 39__________ 40

Chunks:
  TruePositive nam [2,3] = Gazeta Wyborcza (confidence=0.95)
  TruePositive nam [11,11] = Samoobrony (confidence=0.94)
  TruePositive nam [16,17] = Stanisława Łyżwińskiego (confidence=1.00)
  TruePositive nam [18,19] = Aneta Krawczyk (confidence=0.85)
  TruePositive nam [26,26] = Samoobronie (confidence=1.00)
  TruePositive nam [34,35] = Andrzeja Leppera (confidence=1.00)
  TruePositive nam [38,39] = Stanisława Łyżwińskiego (confidence=1.00)

(ChunkerEvaluator) Sentence #1017 from 00107272 from sent3

Text  : Relacje pani Krawczyk potwierdzają inne pracownice Samoobrony .
Tokens: 1______ 2___ 3_______ 4___________ 5___ 6_________ 7_________ 8

Chunks:
  TruePositive nam [3,3] = Krawczyk (confidence=1.00)
  TruePositive nam [7,7] = Samoobrony (confidence=0.98)

(ChunkerEvaluator) Sentence #1018 from 00107272 from sent4

Text  : Po rozmowie z premierem Jarosławem Kaczyńskim prokurator krajowy Janusz Kaczmarek postanowił wszcząć postępowanie w_ sprawie artykułu "_ Praca za seks "_ ,_ który ukazał się w_ Gazecie Wyborczej ._
Tokens: 1_ 2_______ 3 4________ 5_________ 6_________ 7_________ 8______ 9_____ 10_______ 11________ 12_____ 13__________ 14 15_____ 16______ 17 18___ 19 20__ 21 22 23___ 24____ 25_ 26 27_____ 28_______ 29

Chunks:
  TruePositive nam [5,6] = Jarosławem Kaczyńskim (confidence=1.00)
  TruePositive nam [9,10] = Janusz Kaczmarek (confidence=1.00)
  TruePositive nam [18,20] = Praca za seks (confidence=0.91)
  TruePositive nam [27,28] = Gazecie Wyborczej (confidence=1.00)

(ChunkerEvaluator) Sentence #1019 from 00107272 from sent5

Text  : " Zadzwonił poseł Łyżwiński .
Tokens: 1 2________ 3____ 4________ 5

Chunks:
  TruePositive nam [4,4] = Łyżwiński (confidence=1.00)

(ChunkerEvaluator) Sentence #1020 from 00107272 from sent6

Text  : Sugerował , że mogę liczyć na pracę " - tak opowiedziała swoją historię Gazecie Wyborczej Aneta K_ ._ -_ potem poseł Łyżwiński i_ przewodniczący Lepper mieli zabrać ją Lancią do Warszawy ,_ gdzie miało dojść do zbliżenia w_ hotelu sejmowym ._
Tokens: 1________ 2 3_ 4___ 5_____ 6_ 7____ 8 9 10_ 11__________ 12___ 13______ 14_____ 15_______ 16___ 17 18 19 20___ 21___ 22_______ 23 24____________ 25____ 26___ 27____ 28 29____ 30 31______ 32 33___ 34___ 35___ 36 37_______ 38 39____ 40______ 41

Chunks:
  TruePositive nam [14,15] = Gazecie Wyborczej (confidence=0.99)
  TruePositive nam [16,18] = Aneta K . (confidence=0.76)
  TruePositive nam [22,22] = Łyżwiński (confidence=1.00)
  TruePositive nam [25,25] = Lepper (confidence=0.99)
  TruePositive nam [29,29] = Lancią (confidence=0.79)
  TruePositive nam [31,31] = Warszawy (confidence=1.00)

(ChunkerEvaluator) Sentence #1021 from 00107272 from sent7

Text  : Andrzej Lepper w programie " Kropka nad i " zaprzeczył temu ,_ że kiedykolwiek z_ panią Krawczyk łączyły go stosunki seksualne ,_ wicepremier dodał ,_ że "_ jeżeli ta pani była molestowana ,_ to trzeba było zgłosić to wcześniej ,_ 5_ lat temu "_ ,_ a_ całą sprawę nazwał "_ prowokacją wymierzoną w_ koalicję i_ rząd "_ ._
Tokens: 1______ 2_____ 3 4________ 5 6_____ 7__ 8 9 10________ 11__ 12 13 14__________ 15 16___ 17______ 18_____ 19 20______ 21_______ 22 23_________ 24___ 25 26 27 28____ 29 30__ 31__ 32_________ 33 34 35____ 36__ 37_____ 38 39_______ 40 41 42_ 43__ 44 45 46 47__ 48____ 49____ 50 51________ 52________ 53 54______ 55 56__ 57 58

Chunks:
  TruePositive nam [1,2] = Andrzej Lepper (confidence=1.00)
  TruePositive nam [6,8] = Kropka nad i (confidence=0.82)
  TruePositive nam [17,17] = Krawczyk (confidence=1.00)

(ChunkerEvaluator) Sentence #1022 from 00107272 from sent8

Text  : Według Anety Krawczyk niezbitym dowodem w sprawie miały być badania DNA ,_ które jednak wykazały ,_ że nie jest on ojcem najstarszego dziecka ._
Tokens: 1_____ 2____ 3_______ 4________ 5______ 6 7______ 8____ 9__ 10_____ 11_ 12 13___ 14____ 15______ 16 17 18_ 19__ 20 21___ 22__________ 23_____ 24

Chunks:
  TruePositive nam [2,3] = Anety Krawczyk (confidence=1.00)
  TruePositive nam [11,11] = DNA (confidence=0.99)

2017-06-14 20:35:37,588 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 68 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107297.xml
(ChunkerEvaluator) Sentence #1023 from 00107297 from sent1

Text  : 2007-10-14 : 2 miliony plików w Wikimedia Commons
Tokens: 1_________ 2 3 4______ 5_____ 6 7________ 8______

Chunks:
  TruePositive nam [7,8] = Wikimedia Commons (confidence=1.00)

(ChunkerEvaluator) Sentence #1024 from 00107297 from sent2

Text  : Serwis Wikimedia Commons ma już 2 miliony plików .
Tokens: 1_____ 2________ 3______ 4_ 5__ 6 7______ 8_____ 9

Chunks:
  TruePositive nam [2,3] = Wikimedia Commons (confidence=0.88)

(ChunkerEvaluator) Sentence #1025 from 00107297 from sent3

Text  : Polscy wikimedianie mają także znaczący wkład w tą liczbę ._
Tokens: 1_____ 2___________ 3___ 4____ 5_______ 6____ 7 8_ 9_____ 10

Chunks:
  FalseNegative nam [2,2] = wikimedianie

(ChunkerEvaluator) Sentence #1026 from 00107297 from sent4

Text  : Najwięcej plików w tym serwisie to ładowane przez internautów zdjęcia własnego autorstwa ._
Tokens: 1________ 2_____ 3 4__ 5_______ 6_ 7_______ 8____ 9__________ 10_____ 11______ 12_______ 13

Chunks:

(ChunkerEvaluator) Sentence #1027 from 00107297 from sent5

Text  : Ich jakość jest różna , w zależności od umiejętności i_ sprzętu posiadanych przez uczestników tego projektu ._
Tokens: 1__ 2_____ 3___ 4____ 5 6 7_________ 8_ 9___________ 10 11_____ 12_________ 13___ 14_________ 15__ 16______ 17

Chunks:

(ChunkerEvaluator) Sentence #1028 from 00107297 from sent6

Text  : Obok zdjęć amatorskich w projekcie znajdują się zdjęcia amerykańskich agencji rządowych (_ np ._ NASA )_ oraz innych źródeł grafik na wolnych licencjach ._
Tokens: 1___ 2____ 3__________ 4 5________ 6_______ 7__ 8______ 9____________ 10_____ 11_______ 12 13 14 15__ 16 17__ 18____ 19____ 20____ 21 22_____ 23________ 24

Chunks:
  TruePositive nam [15,15] = NASA (confidence=0.99)

(ChunkerEvaluator) Sentence #1029 from 00107297 from sent7

Text  : Projekt Wikimedia Commons powstał 7 września 2004 roku .
Tokens: 1______ 2________ 3______ 4______ 5 6_______ 7___ 8___ 9

Chunks:
  TruePositive nam [2,3] = Wikimedia Commons (confidence=1.00)

(ChunkerEvaluator) Sentence #1030 from 00107297 from sent8

Text  : Podobnie jak Wikinews , jest on oparty na mechanizmie wiki ._
Tokens: 1_______ 2__ 3_______ 4 5___ 6_ 7_____ 8_ 9__________ 10__ 11

Chunks:
  TruePositive nam [3,3] = Wikinews (confidence=1.00)
  FalseNegative nam [10,10] = wiki

(ChunkerEvaluator) Sentence #1031 from 00107297 from sent9

Text  : Umożliwia to modyfikowanie treści przez każdego .
Tokens: 1________ 2_ 3____________ 4_____ 5____ 6______ 7

Chunks:

(ChunkerEvaluator) Sentence #1032 from 00107297 from sent10

Text  : Pliki załadowane na Wikimedia Commons są dostępne dla wszystkich projektów Fundacji Wikimedia we wszystkich wersjach językowych ._
Tokens: 1____ 2_________ 3_ 4________ 5______ 6_ 7_______ 8__ 9_________ 10_______ 11______ 12_______ 13 14________ 15______ 16________ 17

Chunks:
  TruePositive nam [4,5] = Wikimedia Commons (confidence=1.00)
  TruePositive nam [11,12] = Fundacji Wikimedia (confidence=1.00)

(ChunkerEvaluator) Sentence #1033 from 00107297 from sent11

Text  : Ładowane przez polskich użytkowników grafiki są na ogół wysokiej jakości i_ często wykorzystywane do ilustracji artykułów ,_ na przykład na Wikinews ._
Tokens: 1_______ 2____ 3_______ 4___________ 5______ 6_ 7_ 8___ 9_______ 10_____ 11 12____ 13____________ 14 15________ 16_______ 17 18 19______ 20 21______ 22

Chunks:
  TruePositive nam [21,21] = Wikinews (confidence=0.99)

(ChunkerEvaluator) Sentence #1034 from 00107297 from sent12

Text  : Wikimedia Commons to nie tylko zdjęcia - na stronie głównej obok "_ grafiki dnia "_ pokazywane są też "_ multimedia dnia "_ -_ nagrania audio /_ wideo ,_ wideo lub audio ._
Tokens: 1________ 2______ 3_ 4__ 5____ 6______ 7 8_ 9______ 10_____ 11__ 12 13_____ 14__ 15 16________ 17 18_ 19 20________ 21__ 22 23 24______ 25___ 26 27___ 28 29___ 30_ 31___ 32

Chunks:
  TruePositive nam [1,2] = Wikimedia Commons (confidence=0.97)

(ChunkerEvaluator) Sentence #1035 from 00107297 from sent13

Text  : Dzięki serwisowi można posłuchać Chopina , podziwiać egzotyczne ptaki ,_ posłuchać wypowiedzi Richarda Stallmana albo zobaczyć zatknięcie flagi amerykańskiej na Księżycu ._
Tokens: 1_____ 2________ 3____ 4________ 5______ 6 7________ 8_________ 9____ 10 11_______ 12________ 13______ 14_______ 15__ 16______ 17________ 18___ 19___________ 20 21______ 22

Chunks:
  TruePositive nam [5,5] = Chopina (confidence=1.00)
  TruePositive nam [13,14] = Richarda Stallmana (confidence=1.00)
  TruePositive nam [21,21] = Księżycu (confidence=1.00)

(ChunkerEvaluator) Sentence #1036 from 00107297 from sent14

Text  : Na Commons znajdują się też nagrania wymowy , z których korzysta Wikisłownik ._
Tokens: 1_ 2______ 3_______ 4__ 5__ 6_______ 7_____ 8 9 10_____ 11______ 12_________ 13

Chunks:
  TruePositive nam [12,12] = Wikisłownik (confidence=1.00)
  FalsePositive nam [2,2] = Commons (confidence=0.98) (incorrect boundry)

(ChunkerEvaluator) Sentence #1037 from 00107297 from sent15

Text  : Sam język angielski posiada ponad 10 000 nagrań .
Tokens: 1__ 2____ 3________ 4______ 5____ 6_ 7__ 8_____ 9

Chunks:

(ChunkerEvaluator) Sentence #1038 from 00107297 from sent16

Text  : Zazwyczaj są to nagrania pojedynczych wyrazów , ale można też znaleźć łamańce językowe ._
Tokens: 1________ 2_ 3_ 4_______ 5___________ 6______ 7 8__ 9____ 10_ 11_____ 12_____ 13______ 14

Chunks:

(ChunkerEvaluator) Sentence #1039 from 00107297 from sent17

Text  : Także pod względem liczby nagrań wymowy polscy użytkownicy plasują się w_ czołówce –_ 1_ 500 nagrań to czwarte miejsce wśród wszystkich języków (_ za angielskim ,_ holenderskim i_ rosyjskim )_ ._
Tokens: 1____ 2__ 3_______ 4_____ 5_____ 6_____ 7_____ 8__________ 9______ 10_ 11 12______ 13 14 15_ 16____ 17 18_____ 19_____ 20___ 21________ 22_____ 23 24 25________ 26 27__________ 28 29_______ 30 31

Chunks:

(ChunkerEvaluator) Sentence #1040 from 00107297 from sent18

Text  : Każdy może publikować pliki na jednej z dozwolonych wolnych licencji ,_ jak np ._ CC -_ BY -_ SA ,_ czy GFDL ._
Tokens: 1____ 2___ 3_________ 4____ 5_ 6_____ 7 8__________ 9______ 10______ 11 12_ 13 14 15 16 17 18 19 20 21_ 22__ 23

Chunks:
  TruePositive nam [15,19] = CC - BY - SA (confidence=1.00)
  TruePositive nam [22,22] = GFDL (confidence=1.00)

(ChunkerEvaluator) Sentence #1041 from 00107297 from sent19

Text  : Duża część plików umieszczanych jest także w domenie publicznej (_ PD )_ ._
Tokens: 1___ 2____ 3_____ 4____________ 5___ 6____ 7 8______ 9_________ 10 11 12 13

Chunks:
  TruePositive nam [11,11] = PD (confidence=0.63)

(ChunkerEvaluator) Sentence #1042 from 00107297 from sent20

Text  : Ważną zasadą Wikimedia Commons jest używanie wyłącznie wolnych , nieopatentowanych formatów ._
Tokens: 1____ 2_____ 3________ 4______ 5___ 6_______ 7________ 8______ 9 10_______________ 11______ 12

Chunks:
  TruePositive nam [3,4] = Wikimedia Commons (confidence=1.00)

(ChunkerEvaluator) Sentence #1043 from 00107297 from sent21

Text  : Z tego powodu nie ma tam np . nagrań w_ formacie MP3 ._
Tokens: 1 2___ 3_____ 4__ 5_ 6__ 7_ 8 9_____ 10 11______ 12_ 13

Chunks:
  TruePositive nam [12,12] = MP3 (confidence=1.00)

(ChunkerEvaluator) Sentence #1044 from 00107297 from sent22

Text  : Dźwięk na Wikimedia Commons jest najczęściej w formacie Ogg lub Vorbis a_ nagrania wideo -_ Ogg Theora ._
Tokens: 1_____ 2_ 3________ 4______ 5___ 6__________ 7 8_______ 9__ 10_ 11____ 12 13______ 14___ 15 16_ 17____ 18

Chunks:
  TruePositive nam [3,4] = Wikimedia Commons (confidence=1.00)
  TruePositive nam [9,9] = Ogg (confidence=1.00)
  TruePositive nam [11,11] = Vorbis (confidence=0.98)
  TruePositive nam [16,17] = Ogg Theora (confidence=0.99)

(ChunkerEvaluator) Sentence #1045 from 00107297 from sent23

Text  : Ponieważ formaty te nie są standardowo obsługiwane np . w_ systemie Windows ,_ użytkownicy mieli do niedawna problemy z_ odtwarzaniem plików ._
Tokens: 1_______ 2______ 3_ 4__ 5_ 6__________ 7__________ 8_ 9 10 11______ 12_____ 13 14_________ 15___ 16 17______ 18______ 19 20__________ 21____ 22

Chunks:
  TruePositive nam [12,12] = Windows (confidence=1.00)

(ChunkerEvaluator) Sentence #1046 from 00107297 from sent24

Text  : Kwestia ta została rozwiązana wraz z wprowadzeniem we wrześniu 2007 odtwarzacza online ,_ pozwalającego na odtwarzanie nagrań bezpośrednio w_ przeglądarce ._
Tokens: 1______ 2_ 3______ 4_________ 5___ 6 7____________ 8_ 9_______ 10__ 11_________ 12____ 13 14___________ 15 16_________ 17____ 18__________ 19 20__________ 21

Chunks:

2017-06-14 20:35:37,686 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 69 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107312.xml
(ChunkerEvaluator) Sentence #1047 from 00107312 from sent1

Text  : 2008-09-14 : Radosław Sikorski jedzie na Białoruś
Tokens: 1_________ 2 3_______ 4_______ 5_____ 6_ 7_______

Chunks:
  TruePositive nam [3,4] = Radosław Sikorski (confidence=1.00)
  TruePositive nam [7,7] = Białoruś (confidence=1.00)

(ChunkerEvaluator) Sentence #1048 from 00107312 from sent2

Text  : Szef polskiej dyplomacji Radosław Sikorski uda się dzisiaj na Białoruś na spotkanie z_ szefem białoruskiego MSZ Siarhiejem Martynauem ._
Tokens: 1___ 2_______ 3_________ 4_______ 5_______ 6__ 7__ 8______ 9_ 10______ 11 12_______ 13 14____ 15___________ 16_ 17________ 18________ 19

Chunks:
  TruePositive nam [4,5] = Radosław Sikorski (confidence=1.00)
  TruePositive nam [10,10] = Białoruś (confidence=1.00)
  FalsePositive nam [16,18] = MSZ Siarhiejem Martynauem (confidence=1.00) (incorrect boundry)
  FalseNegative nam [16,16] = MSZ
  FalseNegative nam [17,18] = Siarhiejem Martynauem

(ChunkerEvaluator) Sentence #1049 from 00107312 from sent3

Text  : Spotkanie ma odbyć się w miejscowości Wiskule w pobliżu Brześcia ._
Tokens: 1________ 2_ 3____ 4__ 5 6___________ 7______ 8 9______ 10______ 11

Chunks:
  TruePositive nam [7,7] = Wiskule (confidence=1.00)
  TruePositive nam [10,10] = Brześcia (confidence=0.99)

(ChunkerEvaluator) Sentence #1050 from 00107312 from sent4

Text  : Spotkanie szefów dyplomacji zaplanowano na godzinę 17 .
Tokens: 1________ 2_____ 3_________ 4__________ 5_ 6______ 7_ 8

Chunks:

(ChunkerEvaluator) Sentence #1051 from 00107312 from sent5

Text  : Z kolei wieczorem po przylocie ma odbyć się briefing ministra na lotnisku wojskowym ._
Tokens: 1 2____ 3________ 4_ 5________ 6_ 7____ 8__ 9_______ 10______ 11 12______ 13_______ 14

Chunks:

(ChunkerEvaluator) Sentence #1052 from 00107312 from sent6

Text  : Ministrowie spraw zagranicznych Polski i Białorusi mają omówić kwestie związane z_ problematyką unijną oraz zagadnienia dotyczące stosunków dwustronnych ._
Tokens: 1__________ 2____ 3____________ 4_____ 5 6________ 7___ 8_____ 9______ 10______ 11 12__________ 13____ 14__ 15_________ 16_______ 17_______ 18__________ 19

Chunks:
  TruePositive nam [4,4] = Polski (confidence=1.00)
  TruePositive nam [6,6] = Białorusi (confidence=1.00)

(ChunkerEvaluator) Sentence #1053 from 00107312 from sent7

Text  : W komunikacie polskiego MSZ czytamy , że strona polska ma na celu "_ sprawy związane z_ bezpieczeństwem granic ,_ zabezpieczeniem tranzytu surowców do Polski ,_ współpracy przy projektach energetycznych oraz udziałem polskich firm w_ prywatyzacji firm sektora państwowego "_ ._
Tokens: 1 2__________ 3________ 4__ 5______ 6 7_ 8_____ 9_____ 10 11 12__ 13 14____ 15______ 16 17_____________ 18____ 19 20_____________ 21______ 22______ 23 24____ 25 26________ 27__ 28________ 29____________ 30__ 31______ 32______ 33__ 34 35__________ 36__ 37_____ 38_________ 39 40

Chunks:
  TruePositive nam [4,4] = MSZ (confidence=0.93)
  TruePositive nam [24,24] = Polski (confidence=1.00)

(ChunkerEvaluator) Sentence #1054 from 00107312 from sent8

Text  : Wizyta Radosława Sikorskiego na Białorusi ma charakter przełomowy .
Tokens: 1_____ 2________ 3__________ 4_ 5________ 6_ 7________ 8_________ 9

Chunks:
  TruePositive nam [2,3] = Radosława Sikorskiego (confidence=0.96)
  TruePositive nam [5,5] = Białorusi (confidence=0.99)

(ChunkerEvaluator) Sentence #1055 from 00107312 from sent9

Text  : Ostatnia wizyta w Polsce szefa białoruskiej dyplomacji miała bowiem miejsce w_ roku 2004 ._
Tokens: 1_______ 2_____ 3 4_____ 5____ 6___________ 7_________ 8____ 9_____ 10_____ 11 12__ 13__ 14

Chunks:
  TruePositive nam [4,4] = Polsce (confidence=0.99)

(ChunkerEvaluator) Sentence #1056 from 00107312 from sent10

Text  : Z kolei wizyta polskiego ministra na Białorusi odbędzie się na zaproszenie Sierhieja Martynaua ._
Tokens: 1 2____ 3_____ 4________ 5_______ 6_ 7________ 8_______ 9__ 10 11_________ 12_______ 13_______ 14

Chunks:
  TruePositive nam [7,7] = Białorusi (confidence=1.00)
  TruePositive nam [12,13] = Sierhieja Martynaua (confidence=0.93)

2017-06-14 20:35:37,727 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 70 from 70: /nlp/corpora/pwr/kpwr-release/kpwr-1.2-disamb-rc1-names/documents/00107362.xml
(ChunkerEvaluator) Sentence #1057 from 00107362 from sent1

Text  : 2010-08-05 : Liga Europy UEFA 2010 / 2011 : Austria Wiedeń 3_ -_ 0_ Ruch Chorzów
Tokens: 1_________ 2 3___ 4_____ 5___ 6___ 7 8___ 9 10_____ 11____ 12 13 14 15__ 16_____

Chunks:
  FalsePositive nam [10,16] = Austria Wiedeń 3 - 0 Ruch Chorzów (confidence=0.99) (incorrect boundry)
  FalseNegative nam [3,5] = Liga Europy UEFA
  FalseNegative nam [10,11] = Austria Wiedeń
  FalseNegative nam [15,16] = Ruch Chorzów

(ChunkerEvaluator) Sentence #1058 from 00107362 from sent2

Text  : Ruch Chorzów przystąpił do rewanżu z Austrią Wiedeń bez sprzedanego przed meczem do Polonii Artura Sobiecha ._
Tokens: 1___ 2______ 3_________ 4_ 5______ 6 7______ 8_____ 9__ 10_________ 11___ 12____ 13 14_____ 15____ 16______ 17

Chunks:
  TruePositive nam [1,2] = Ruch Chorzów (confidence=0.99)
  TruePositive nam [7,8] = Austrią Wiedeń (confidence=1.00)
  FalsePositive nam [14,16] = Polonii Artura Sobiecha (confidence=1.00) (incorrect boundry)
  FalseNegative nam [14,14] = Polonii
  FalseNegative nam [15,16] = Artura Sobiecha

(ChunkerEvaluator) Sentence #1059 from 00107362 from sent3

Text  : Zespół z Austrii wygrał 3 : 0 .
Tokens: 1_____ 2 3______ 4_____ 5 6 7 8

Chunks:
  TruePositive nam [3,3] = Austrii (confidence=1.00)

(ChunkerEvaluator) Sentence #1060 from 00107362 from sent4

Text  : W pierwszym meczu Austria wygrała 3 : 1 .
Tokens: 1 2________ 3____ 4______ 5______ 6 7 8 9

Chunks:
  TruePositive nam [4,4] = Austria (confidence=1.00)

(ChunkerEvaluator) Sentence #1061 from 00107362 from sent5

Text  : Austria Wiedeń - Ruch Chorzów 3 : 0 ( 3_ :_ 0_ )_
Tokens: 1______ 2_____ 3 4___ 5______ 6 7 8 9 10 11 12 13

Chunks:
  TruePositive nam [1,2] = Austria Wiedeń (confidence=0.99)
  TruePositive nam [4,5] = Ruch Chorzów (confidence=1.00)

(ChunkerEvaluator) Sentence #1062 from 00107362 from sent6

Text  : Bramki : Klein ( 4 . k ) , Baumgartlinger dwie (_ 10 ._ ,_ 21 ._ )_
Tokens: 1_____ 2 3____ 4 5 6 7 8 9 10____________ 11__ 12 13 14 15 16 17 18

Chunks:
  TruePositive nam [3,3] = Klein (confidence=0.61)
  FalsePositive nam [10,11] = Baumgartlinger dwie (confidence=0.96) (incorrect boundry)
  FalseNegative nam [10,10] = Baumgartlinger

(ChunkerEvaluator) Sentence #1063 from 00107362 from sent7

Text  : Żółta kartka : Pulkowski .
Tokens: 1____ 2_____ 3 4________ 5

Chunks:
  TruePositive nam [4,4] = Pulkowski (confidence=0.63)

(ChunkerEvaluator) Sentence #1064 from 00107362 from sent8

Text  : Czerwona kartka : Grodzicki ( 4 . , za faul )_ ._
Tokens: 1_______ 2_____ 3 4________ 5 6 7 8 9_ 10__ 11 12

Chunks:
  TruePositive nam [4,4] = Grodzicki (confidence=1.00)

(ChunkerEvaluator) Sentence #1065 from 00107362 from sent9

Text  : Widzów : 10 tysięcy .
Tokens: 1_____ 2 3_ 4______ 5

Chunks:
  FalsePositive nam [1,1] = Widzów (confidence=0.52) (incorrect boundry)

(ChunkerEvaluator) Sentence #1066 from 00107362 from sent10

Text  : Sędziował : Pol van Boekel ( Holandia ) .
Tokens: 1________ 2 3__ 4__ 5_____ 6 7_______ 8 9

Chunks:
  TruePositive nam [7,7] = Holandia (confidence=1.00)
  FalsePositive nam [5,5] = Boekel (confidence=0.89) (incorrect boundry)
  FalseNegative nam [3,5] = Pol van Boekel

======================================================================================
# Exact match evaluation -- annotation span and types evaluation
======================================================================================
        Annotation                     &      TP &      FP &      FN & Precision & Recall  & F$_1$   \\
\hline
        nam                            &     658 &     138 &     132 &    82.66% &  83.29% &  82.98% \\
\hline
        *TOTAL*                        &     658 &     138 &     132 &    82.66% &  83.29% &  82.98% \\


======================================================================================
# Annotation span evaluation (annotation types are ignored)
======================================================================================
        Annotation                     &      TP &      FP &      FN & Precision & Recall  & F$_1$   \\
\hline
        *TOTAL*                        &     658 &     138 &     132 &    82.66% &  83.29% &  82.98% \\


======================================================================================
# MUC match evaluation
======================================================================================
        Annotation                     &     COR &     ACT &     POS & Precision & Recall  & F$_1$   \\
\hline
        nam                            &    1409 &     183 &     173 &    88.51% &  89.06% &  88.78% \\
\hline
        *TOTAL*                        &    1409 &     183 &     173 &    88.51% &  89.06% &  88.78% \\


====================================================
Processing time
====================================================
1) Model loading        : --h 03m 42s (222730601598ns) 
2) Data reading         : --h --m 00s (161635923ns) 
3) Feature generation   : --h --m 00s (881411800ns) 
4) Chunking             : --h --m 01s (1783428385ns) 
5) Evaluation           : --h --m 01s (1893989001ns) (not in total time)
----------------------------------------------------
## Total time             --h 03m 45s (225557077706ns)
----------------------------------------------------
Tokens           :    17088
Text kB          :      101.76
Tokens  / second :       75.76
Text kB / second :        0.45
----------------------------------------------------
***************************************** SUMMARY *****************************************
======================================================================================
# Exact match evaluation -- annotation span and types evaluation
======================================================================================
        Annotation                     &      TP &      FP &      FN & Precision & Recall  & F$_1$   \\
\hline
        nam                            &    7630 &    1430 &    1563 &    84.22% &  83.00% &  83.60% \\
\hline
        *TOTAL*                        &    7630 &    1430 &    1563 &    84.22% &  83.00% &  83.60% \\


======================================================================================
# Annotation span evaluation (annotation types are ignored)
======================================================================================
        Annotation                     &      TP &      FP &      FN & Precision & Recall  & F$_1$   \\
\hline
        *TOTAL*                        &    7630 &    1430 &    1563 &    84.22% &  83.00% &  83.60% \\


======================================================================================
# MUC match evaluation
======================================================================================
        Annotation                     &     COR &     ACT &     POS & Precision & Recall  & F$_1$   \\
\hline
        nam                            &   16181 &    1939 &    2178 &    89.30% &  88.14% &  88.71% \\
\hline
        *TOTAL*                        &   16181 &    1939 &    2178 &    89.30% &  88.14% &  88.71% \\



====================================================
Processing time
====================================================
1) fold 1               : --h 03m 51s (231867445145ns) 
2) fold 2               : --h 03m 50s (230636887211ns) 
3) fold 3               : --h 03m 38s (218237199387ns) 
4) fold 4               : --h 03m 22s (202743534466ns) 
5) fold 5               : --h 03m 24s (204036723742ns) 
6) fold 6               : --h 03m 31s (211092118278ns) 
7) fold 7               : --h 03m 53s (233179002501ns) 
8) fold 8               : --h 03m 20s (200599667056ns) 
9) fold 9               : --h 03m 54s (234665623850ns) 
10) fold 10              : --h 03m 57s (237762351061ns) 
----------------------------------------------------
## Total time             --h 36m 44s (2204820552697ns)
----------------------------------------------------
Tokens           :        0
Text kB          :        0.00
Tokens  / second :        0.00
Text kB / second :        0.00
----------------------------------------------------
