(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_nation, 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$
2016-11-04 12:01:45,679 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107459.xml
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2016-11-04 12:01:49,082 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107570.xml
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2016-11-04 12:01:49,359 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 9 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107580.xml
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2016-11-04 12:01:49,379 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 10 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107581.xml
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2016-11-04 12:01:49,414 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 11 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107582.xml
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2016-11-04 12:01:49,443 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 12 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107587.xml
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2016-11-04 12:01:49,485 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 13 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107589.xml
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2016-11-04 12:01:49,511 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 14 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107593.xml
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2016-11-04 12:01:49,578 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 15 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107595.xml
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2016-11-04 12:01:49,659 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 16 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107597.xml
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2016-11-04 12:01:49,686 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 17 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107599.xml
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2016-11-04 12:01:49,725 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 18 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107600.xml
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2016-11-04 12:01:49,743 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 19 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107602.xml
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2016-11-04 12:01:49,764 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 20 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107604.xml
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2016-11-04 12:01:49,824 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 22 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107608.xml
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2016-11-04 12:01:49,884 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 23 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107611.xml
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2016-11-04 12:01:49,898 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 24 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107613.xml
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2016-11-04 12:01:49,926 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 25 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107616.xml
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2016-11-04 12:01:49,942 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 26 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107618.xml
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2016-11-04 12:01:49,967 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 27 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107620.xml
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2016-11-04 12:01:50,142 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 34 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107630.xml
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2016-11-04 12:01:50,171 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 35 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107631.xml
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2016-11-04 12:01:50,329 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 39 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107640.xml
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2016-11-04 12:01:59,362 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 256 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108155.xml
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2016-11-04 12:01:59,420 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 257 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108157.xml
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-> Setting up chunker: chunker_crfpp
(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_nation, 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
2016-11-04 12:01:59,517 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 194: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107364.xml
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2016-11-04 12:01:59,585 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 3 from 194: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107366.xml
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2016-11-04 12:01:59,642 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 194: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107368.xml
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--> Training on file=/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/index_names_articles_train.txt
(TemplateFactory) parsing template: /home/czuk/nlp/eclipse/workspace_liner2/liner2_master/../models-workdir/liner2.5/liner25_model_ner_kpwr12/ini/template-jrip-newdict.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_nation:-2:-1:0:1:2
(TemplateFactory) feature:dict_nation:-2:-1:0:1:2
(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
(TemplateFactory) Adding feature:dict_nation:0/pattern:1/pattern:2
(TemplateFactory) feature:dict_nation:0/pattern:1/pattern:2
(TemplateFactory) Adding feature:dict_nation:-1/pattern:0/pattern:1
(TemplateFactory) feature:dict_nation:-1/pattern:0/pattern:1
(TemplateFactory) Adding feature:dict_nation:-2/pattern:-1/pattern:0
(TemplateFactory) feature:dict_nation:-2/pattern:-1/pattern:0
Loading training data for CRF from document:articles/00107364
STORE TRAINING DATA IN: /tmp/crf_iob2750913241917937968.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_nation[-2]
dict_nation[-1]
dict_nation[0]
dict_nation[1]
dict_nation[2]
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]
dict_nation[0]_pattern[1]_pattern[2]
dict_nation[-1]_pattern[0]_pattern[1]
dict_nation[-2]_pattern[-1]_pattern[0]

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.. 
Done!23.81 s

Number of sentences: 4968
Number of features:  544965
Number of thread(s): 1
Freq:                5
eta:                 0.00010
C:                   1.00000
shrinking size:      20
iter=0 terr=0.93238 serr=0.99799 act=544965 obj=87912.05395 diff=1.00000
iter=1 terr=0.10840 serr=0.55898 act=544965 obj=125943.68555 diff=0.43261
iter=2 terr=0.10840 serr=0.55898 act=544965 obj=42666.46784 diff=0.66123
iter=3 terr=0.10840 serr=0.55898 act=544965 obj=37606.54882 diff=0.11859
iter=4 terr=0.87227 serr=0.99235 act=544965 obj=107202.75229 diff=1.85064
iter=5 terr=0.10840 serr=0.55898 act=544965 obj=30894.95701 diff=0.71181
iter=6 terr=0.10840 serr=0.55898 act=544965 obj=29831.48582 diff=0.03442
iter=7 terr=0.10840 serr=0.55898 act=544965 obj=28960.52773 diff=0.02920
iter=8 terr=0.10840 serr=0.55898 act=544965 obj=27382.49584 diff=0.05449
iter=9 terr=0.06172 serr=0.46417 act=544965 obj=19807.61356 diff=0.27663
iter=10 terr=0.05723 serr=0.43800 act=544965 obj=15448.45924 diff=0.22007
iter=11 terr=0.03457 serr=0.32508 act=544965 obj=11771.67480 diff=0.23800
iter=12 terr=0.03348 serr=0.31341 act=544965 obj=10560.72783 diff=0.10287
iter=13 terr=0.03250 serr=0.30012 act=544965 obj=9756.06353 diff=0.07619
iter=14 terr=0.03094 serr=0.28462 act=544965 obj=9228.03077 diff=0.05412
iter=15 terr=0.03018 serr=0.26630 act=544965 obj=8770.76965 diff=0.04955
iter=16 terr=0.02994 serr=0.26651 act=544965 obj=9681.90808 diff=0.10388
iter=17 terr=0.02808 serr=0.25564 act=544965 obj=8462.67865 diff=0.12593
iter=18 terr=0.02788 serr=0.24940 act=544965 obj=8171.36018 diff=0.03442
iter=19 terr=0.02739 serr=0.24094 act=544965 obj=7674.60616 diff=0.06079
iter=20 terr=0.02601 serr=0.23168 act=544965 obj=7455.82796 diff=0.02851
iter=21 terr=0.02668 serr=0.23430 act=544965 obj=7385.14857 diff=0.00948
iter=22 terr=0.02528 serr=0.22403 act=544965 obj=7127.69894 diff=0.03486
iter=23 terr=0.02493 serr=0.22283 act=544965 obj=6847.44065 diff=0.03932
iter=24 terr=0.02697 serr=0.23933 act=544965 obj=6885.43861 diff=0.00555
iter=25 terr=0.02543 serr=0.22786 act=544965 obj=6675.90744 diff=0.03043
iter=26 terr=0.02498 serr=0.22403 act=544965 obj=6527.23600 diff=0.02227
iter=27 terr=0.02328 serr=0.21236 act=544965 obj=6150.71031 diff=0.05769
iter=28 terr=0.02207 serr=0.20089 act=544965 obj=5678.87326 diff=0.07671
iter=29 terr=0.02272 serr=0.20813 act=544965 obj=5487.03271 diff=0.03378
iter=30 terr=0.02128 serr=0.19545 act=544965 obj=5147.00059 diff=0.06197
iter=31 terr=0.02091 serr=0.19022 act=544965 obj=5061.59626 diff=0.01659
iter=32 terr=0.02039 serr=0.18418 act=544965 obj=4944.85662 diff=0.02306
iter=33 terr=0.01928 serr=0.17311 act=544965 obj=4840.70972 diff=0.02106
iter=34 terr=0.01934 serr=0.17391 act=544965 obj=4656.95921 diff=0.03796
iter=35 terr=0.01881 serr=0.16848 act=544965 obj=4500.74648 diff=0.03354
iter=36 terr=0.01797 serr=0.16143 act=544965 obj=4287.11836 diff=0.04747
iter=37 terr=0.01785 serr=0.15962 act=544965 obj=4165.43991 diff=0.02838
iter=38 terr=0.01731 serr=0.15640 act=544965 obj=3919.89696 diff=0.05895
iter=39 terr=0.02258 serr=0.19988 act=544965 obj=5331.06096 diff=0.36000
iter=40 terr=0.01682 serr=0.14936 act=544965 obj=3770.85337 diff=0.29266
iter=41 terr=0.01616 serr=0.14372 act=544965 obj=3642.08347 diff=0.03415
iter=42 terr=0.01625 serr=0.14654 act=544965 obj=3582.48544 diff=0.01636
iter=43 terr=0.01620 serr=0.14553 act=544965 obj=3514.52124 diff=0.01897
iter=44 terr=0.01516 serr=0.13949 act=544965 obj=3270.09583 diff=0.06955
iter=45 terr=0.01528 serr=0.13909 act=544965 obj=3142.32947 diff=0.03907
iter=46 terr=0.01471 serr=0.13567 act=544965 obj=3049.25497 diff=0.02962
iter=47 terr=0.01401 serr=0.12903 act=544965 obj=2973.76183 diff=0.02476
iter=48 terr=0.01371 serr=0.12621 act=544965 obj=2890.82793 diff=0.02789
iter=49 terr=0.01303 serr=0.12279 act=544965 obj=2755.67925 diff=0.04675
iter=50 terr=0.01316 serr=0.12017 act=544965 obj=2690.02081 diff=0.02383
iter=51 terr=0.01265 serr=0.11634 act=544965 obj=2644.12846 diff=0.01706
iter=52 terr=0.01258 serr=0.11534 act=544965 obj=2597.00281 diff=0.01782
iter=53 terr=0.01236 serr=0.11212 act=544965 obj=2544.88630 diff=0.02007
iter=54 terr=0.01220 serr=0.10749 act=544965 obj=2453.81838 diff=0.03578
iter=55 terr=0.01228 serr=0.10990 act=544965 obj=2447.17671 diff=0.00271
iter=56 terr=0.01186 serr=0.10769 act=544965 obj=2392.84795 diff=0.02220
iter=57 terr=0.01166 serr=0.10507 act=544965 obj=2320.92886 diff=0.03006
iter=58 terr=0.01136 serr=0.10548 act=544965 obj=2175.64876 diff=0.06260
iter=59 terr=0.01178 serr=0.10165 act=544965 obj=2233.54606 diff=0.02661
iter=60 terr=0.01128 serr=0.10105 act=544965 obj=2124.01077 diff=0.04904
iter=61 terr=0.01083 serr=0.09944 act=544965 obj=2102.59817 diff=0.01008
iter=62 terr=0.01075 serr=0.09762 act=544965 obj=2068.14474 diff=0.01639
iter=63 terr=0.00993 serr=0.09642 act=544965 obj=1929.76122 diff=0.06691
iter=64 terr=0.00982 serr=0.09199 act=544965 obj=1830.68104 diff=0.05134
iter=65 terr=0.00914 serr=0.09018 act=544965 obj=1786.32975 diff=0.02423
iter=66 terr=0.00877 serr=0.08615 act=544965 obj=1731.54921 diff=0.03067
iter=67 terr=0.00839 serr=0.08535 act=544965 obj=1669.02409 diff=0.03611
iter=68 terr=0.00825 serr=0.08494 act=544965 obj=1631.34032 diff=0.02258
iter=69 terr=0.00794 serr=0.08192 act=544965 obj=1606.89191 diff=0.01499
iter=70 terr=0.00779 serr=0.08092 act=544965 obj=1580.78854 diff=0.01624
iter=71 terr=0.00714 serr=0.07488 act=544965 obj=1532.57842 diff=0.03050
iter=72 terr=0.00767 serr=0.07890 act=544965 obj=1527.43495 diff=0.00336
iter=73 terr=0.00737 serr=0.07629 act=544965 obj=1500.42816 diff=0.01768
iter=74 terr=0.00709 serr=0.07327 act=544965 obj=1459.61901 diff=0.02720
iter=75 terr=0.00681 serr=0.07065 act=544965 obj=1426.32608 diff=0.02281
iter=76 terr=0.00667 serr=0.06944 act=544965 obj=1404.19172 diff=0.01552
iter=77 terr=0.00606 serr=0.06461 act=544965 obj=1359.52272 diff=0.03181
iter=78 terr=0.00575 serr=0.06139 act=544965 obj=1287.28583 diff=0.05313
iter=79 terr=0.00506 serr=0.05676 act=544965 obj=1213.25837 diff=0.05751
iter=80 terr=0.00494 serr=0.05737 act=544965 obj=1186.40524 diff=0.02213
iter=81 terr=0.00496 serr=0.05717 act=544965 obj=1168.03689 diff=0.01548
iter=82 terr=0.00512 serr=0.05797 act=544965 obj=1165.57396 diff=0.00211
iter=83 terr=0.00470 serr=0.05576 act=544965 obj=1141.40933 diff=0.02073
iter=84 terr=0.00476 serr=0.05415 act=544965 obj=1105.72728 diff=0.03126
iter=85 terr=0.00462 serr=0.05213 act=544965 obj=1077.60431 diff=0.02543
iter=86 terr=0.00432 serr=0.05032 act=544965 obj=1071.72056 diff=0.00546
iter=87 terr=0.00437 serr=0.05032 act=544965 obj=1061.45793 diff=0.00958
iter=88 terr=0.00442 serr=0.05032 act=544965 obj=1057.97978 diff=0.00328
iter=89 terr=0.00445 serr=0.05032 act=544965 obj=1052.47734 diff=0.00520
iter=90 terr=0.00412 serr=0.04851 act=544965 obj=1040.65966 diff=0.01123
iter=91 terr=0.00372 serr=0.04489 act=544965 obj=1019.15346 diff=0.02067
iter=92 terr=0.00352 serr=0.04247 act=544965 obj=989.14111 diff=0.02945
iter=93 terr=0.00331 serr=0.04026 act=544965 obj=956.11465 diff=0.03339
iter=94 terr=0.00296 serr=0.03543 act=544965 obj=919.90023 diff=0.03788
iter=95 terr=0.00304 serr=0.03482 act=544965 obj=902.20263 diff=0.01924
iter=96 terr=0.00435 serr=0.04448 act=544965 obj=1201.97432 diff=0.33227
iter=97 terr=0.00290 serr=0.03462 act=544965 obj=894.24616 diff=0.25602
iter=98 terr=0.00302 serr=0.03563 act=544965 obj=879.35236 diff=0.01666
iter=99 terr=0.00297 serr=0.03543 act=544965 obj=866.99652 diff=0.01405
iter=100 terr=0.00280 serr=0.03301 act=544965 obj=829.08124 diff=0.04373
iter=101 terr=0.00261 serr=0.03140 act=544965 obj=809.60928 diff=0.02349
iter=102 terr=0.00262 serr=0.02939 act=544965 obj=786.55046 diff=0.02848
iter=103 terr=0.00227 serr=0.02738 act=544965 obj=769.72458 diff=0.02139
iter=104 terr=0.00224 serr=0.02717 act=544965 obj=755.41188 diff=0.01859
iter=105 terr=0.00222 serr=0.02758 act=544965 obj=750.04954 diff=0.00710
iter=106 terr=0.00216 serr=0.02738 act=544965 obj=735.50134 diff=0.01940
iter=107 terr=0.00186 serr=0.02335 act=544965 obj=704.27050 diff=0.04246
iter=108 terr=0.00289 serr=0.03885 act=544965 obj=814.26033 diff=0.15618
iter=109 terr=0.00197 serr=0.02556 act=544965 obj=696.73314 diff=0.14434
iter=110 terr=0.00185 serr=0.02295 act=544965 obj=676.66757 diff=0.02880
iter=111 terr=0.00164 serr=0.02033 act=544965 obj=665.01024 diff=0.01723
iter=112 terr=0.00160 serr=0.02013 act=544965 obj=652.78987 diff=0.01838
iter=113 terr=0.00156 serr=0.01952 act=544965 obj=644.09447 diff=0.01332
iter=114 terr=0.00137 serr=0.01711 act=544965 obj=631.70128 diff=0.01924
iter=115 terr=0.00120 serr=0.01469 act=544965 obj=608.82521 diff=0.03621
iter=116 terr=0.00105 serr=0.01409 act=544965 obj=599.99828 diff=0.01450
iter=117 terr=0.00099 serr=0.01329 act=544965 obj=581.69544 diff=0.03050
iter=118 terr=0.00082 serr=0.01087 act=544965 obj=574.59760 diff=0.01220
iter=119 terr=0.00085 serr=0.01147 act=544965 obj=568.23857 diff=0.01107
iter=120 terr=0.00080 serr=0.01027 act=544965 obj=559.85468 diff=0.01475
iter=121 terr=0.00109 serr=0.01308 act=544965 obj=561.86202 diff=0.00359
iter=122 terr=0.00092 serr=0.01107 act=544965 obj=550.08555 diff=0.02096
iter=123 terr=0.00086 serr=0.01067 act=544965 obj=538.91067 diff=0.02031
iter=124 terr=0.00076 serr=0.01006 act=544965 obj=519.34122 diff=0.03631
iter=125 terr=0.00069 serr=0.00946 act=544965 obj=525.88279 diff=0.01260
iter=126 terr=0.00069 serr=0.00926 act=544965 obj=514.93135 diff=0.02082
iter=127 terr=0.00070 serr=0.00946 act=544965 obj=511.24822 diff=0.00715
iter=128 terr=0.00069 serr=0.00906 act=544965 obj=507.09243 diff=0.00813
iter=129 terr=0.00061 serr=0.00805 act=544965 obj=499.87152 diff=0.01424
iter=130 terr=0.00056 serr=0.00745 act=544965 obj=493.50244 diff=0.01274
iter=131 terr=0.00052 serr=0.00684 act=544965 obj=487.62079 diff=0.01192
iter=132 terr=0.00050 serr=0.00664 act=544965 obj=483.89659 diff=0.00764
iter=133 terr=0.00047 serr=0.00644 act=544965 obj=477.44700 diff=0.01333
iter=134 terr=0.00047 serr=0.00644 act=544965 obj=473.05827 diff=0.00919
iter=135 terr=0.00037 serr=0.00503 act=544965 obj=466.38712 diff=0.01410
iter=136 terr=0.00031 serr=0.00403 act=544965 obj=459.68918 diff=0.01436
iter=137 terr=0.00031 serr=0.00403 act=544965 obj=454.01012 diff=0.01235
iter=138 terr=0.00102 serr=0.00604 act=544965 obj=500.63585 diff=0.10270
iter=139 terr=0.00031 serr=0.00403 act=544965 obj=452.39641 diff=0.09636
iter=140 terr=0.00031 serr=0.00403 act=544965 obj=450.48864 diff=0.00422
iter=141 terr=0.00032 serr=0.00423 act=544965 obj=444.27412 diff=0.01380
iter=142 terr=0.00029 serr=0.00342 act=544965 obj=436.74362 diff=0.01695
iter=143 terr=0.00024 serr=0.00282 act=544965 obj=434.31741 diff=0.00556
iter=144 terr=0.00026 serr=0.00322 act=544965 obj=428.05676 diff=0.01441
iter=145 terr=0.00027 serr=0.00342 act=544965 obj=428.33179 diff=0.00064
iter=146 terr=0.00026 serr=0.00322 act=544965 obj=425.93684 diff=0.00559
iter=147 terr=0.00024 serr=0.00302 act=544965 obj=423.56575 diff=0.00557
iter=148 terr=0.00022 serr=0.00282 act=544965 obj=422.13412 diff=0.00338
iter=149 terr=0.00024 serr=0.00302 act=544965 obj=420.76740 diff=0.00324
iter=150 terr=0.00024 serr=0.00302 act=544965 obj=419.93800 diff=0.00197
iter=151 terr=0.00024 serr=0.00302 act=544965 obj=418.79866 diff=0.00271
iter=152 terr=0.00022 serr=0.00282 act=544965 obj=416.96453 diff=0.00438
iter=153 terr=0.00021 serr=0.00262 act=544965 obj=415.59911 diff=0.00327
iter=154 terr=0.00019 serr=0.00221 act=544965 obj=413.11913 diff=0.00597
iter=155 terr=0.00019 serr=0.00221 act=544965 obj=410.56540 diff=0.00618
iter=156 terr=0.00020 serr=0.00242 act=544965 obj=408.40769 diff=0.00526
iter=157 terr=0.00019 serr=0.00221 act=544965 obj=406.22493 diff=0.00534
iter=158 terr=0.00017 serr=0.00201 act=544965 obj=405.77160 diff=0.00112
iter=159 terr=0.00017 serr=0.00201 act=544965 obj=405.33713 diff=0.00107
iter=160 terr=0.00019 serr=0.00221 act=544965 obj=405.06842 diff=0.00066
iter=161 terr=0.00019 serr=0.00221 act=544965 obj=404.46735 diff=0.00148
iter=162 terr=0.00019 serr=0.00221 act=544965 obj=403.74371 diff=0.00179
iter=163 terr=0.00017 serr=0.00201 act=544965 obj=402.23912 diff=0.00373
iter=164 terr=0.00016 serr=0.00181 act=544965 obj=401.61110 diff=0.00156
iter=165 terr=0.00015 serr=0.00161 act=544965 obj=399.52498 diff=0.00519
iter=166 terr=0.00015 serr=0.00161 act=544965 obj=399.16201 diff=0.00091
iter=167 terr=0.00015 serr=0.00161 act=544965 obj=398.80511 diff=0.00089
iter=168 terr=0.00015 serr=0.00161 act=544965 obj=398.41509 diff=0.00098
iter=169 terr=0.00015 serr=0.00161 act=544965 obj=397.97084 diff=0.00112
iter=170 terr=0.00014 serr=0.00141 act=544965 obj=397.06012 diff=0.00229
iter=171 terr=0.00014 serr=0.00141 act=544965 obj=396.65006 diff=0.00103
iter=172 terr=0.00014 serr=0.00141 act=544965 obj=396.40205 diff=0.00063
iter=173 terr=0.00014 serr=0.00141 act=544965 obj=396.16640 diff=0.00059
iter=174 terr=0.00014 serr=0.00141 act=544965 obj=395.71054 diff=0.00115
iter=175 terr=0.00014 serr=0.00141 act=544965 obj=395.04460 diff=0.00168
iter=176 terr=0.00012 serr=0.00121 act=544965 obj=396.26735 diff=0.00310
iter=177 terr=0.00012 serr=0.00121 act=544965 obj=394.71809 diff=0.00391
iter=178 terr=0.00012 serr=0.00121 act=544965 obj=394.00053 diff=0.00182
iter=179 terr=0.00012 serr=0.00121 act=544965 obj=393.50993 diff=0.00125
iter=180 terr=0.00012 serr=0.00121 act=544965 obj=393.28351 diff=0.00058
iter=181 terr=0.00012 serr=0.00121 act=544965 obj=392.93403 diff=0.00089
iter=182 terr=0.00012 serr=0.00121 act=544965 obj=392.39084 diff=0.00138
iter=183 terr=0.00012 serr=0.00121 act=544965 obj=391.88640 diff=0.00129
iter=184 terr=0.00012 serr=0.00121 act=544965 obj=391.59691 diff=0.00074
iter=185 terr=0.00012 serr=0.00121 act=544965 obj=391.28766 diff=0.00079
iter=186 terr=0.00012 serr=0.00121 act=544965 obj=390.89082 diff=0.00101
iter=187 terr=0.00012 serr=0.00121 act=544965 obj=390.33155 diff=0.00143
iter=188 terr=0.00012 serr=0.00121 act=544965 obj=389.73777 diff=0.00152
iter=189 terr=0.00012 serr=0.00121 act=544965 obj=388.97144 diff=0.00197
iter=190 terr=0.00012 serr=0.00121 act=544965 obj=388.57638 diff=0.00102
iter=191 terr=0.00012 serr=0.00121 act=544965 obj=388.35953 diff=0.00056
iter=192 terr=0.00012 serr=0.00121 act=544965 obj=388.08630 diff=0.00070
iter=193 terr=0.00012 serr=0.00121 act=544965 obj=387.59151 diff=0.00127
iter=194 terr=0.00012 serr=0.00121 act=544965 obj=386.86080 diff=0.00189
iter=195 terr=0.00012 serr=0.00121 act=544965 obj=385.91290 diff=0.00245
iter=196 terr=0.00012 serr=0.00121 act=544965 obj=385.57044 diff=0.00089
iter=197 terr=0.00012 serr=0.00121 act=544965 obj=384.99000 diff=0.00151
iter=198 terr=0.00012 serr=0.00121 act=544965 obj=384.77476 diff=0.00056
iter=199 terr=0.00012 serr=0.00121 act=544965 obj=384.42778 diff=0.00090
iter=200 terr=0.00012 serr=0.00121 act=544965 obj=383.81313 diff=0.00160
iter=201 terr=0.00012 serr=0.00121 act=544965 obj=385.61781 diff=0.00470
iter=202 terr=0.00012 serr=0.00121 act=544965 obj=383.44938 diff=0.00562
iter=203 terr=0.00012 serr=0.00121 act=544965 obj=382.67211 diff=0.00203
iter=204 terr=0.00012 serr=0.00121 act=544965 obj=382.21891 diff=0.00118
iter=205 terr=0.00012 serr=0.00121 act=544965 obj=382.41922 diff=0.00052
iter=206 terr=0.00012 serr=0.00121 act=544965 obj=382.02171 diff=0.00104
iter=207 terr=0.00012 serr=0.00121 act=544965 obj=381.73269 diff=0.00076
iter=208 terr=0.00012 serr=0.00121 act=544965 obj=381.25223 diff=0.00126
iter=209 terr=0.00012 serr=0.00121 act=544965 obj=380.32875 diff=0.00242
iter=210 terr=0.00012 serr=0.00121 act=544965 obj=379.60538 diff=0.00190
iter=211 terr=0.00012 serr=0.00121 act=544965 obj=379.22148 diff=0.00101
iter=212 terr=0.00012 serr=0.00121 act=544965 obj=378.75916 diff=0.00122
iter=213 terr=0.00012 serr=0.00121 act=544965 obj=378.48793 diff=0.00072
iter=214 terr=0.00012 serr=0.00121 act=544965 obj=378.18371 diff=0.00080
iter=215 terr=0.00012 serr=0.00121 act=544965 obj=377.78073 diff=0.00107
iter=216 terr=0.00012 serr=0.00121 act=544965 obj=377.33943 diff=0.00117
iter=217 terr=0.00012 serr=0.00121 act=544965 obj=376.86186 diff=0.00127
iter=218 terr=0.00012 serr=0.00121 act=544965 obj=376.28996 diff=0.00152
iter=219 terr=0.00012 serr=0.00121 act=544965 obj=375.77166 diff=0.00138
iter=220 terr=0.00012 serr=0.00121 act=544965 obj=375.19403 diff=0.00154
iter=221 terr=0.00012 serr=0.00121 act=544965 obj=374.83488 diff=0.00096
iter=222 terr=0.00012 serr=0.00121 act=544965 obj=374.41843 diff=0.00111
iter=223 terr=0.00012 serr=0.00121 act=544965 obj=374.04733 diff=0.00099
iter=224 terr=0.00012 serr=0.00121 act=544965 obj=373.66491 diff=0.00102
iter=225 terr=0.00012 serr=0.00121 act=544965 obj=373.43129 diff=0.00063
iter=226 terr=0.00012 serr=0.00121 act=544965 obj=373.28422 diff=0.00039
iter=227 terr=0.00012 serr=0.00121 act=544965 obj=372.87096 diff=0.00111
iter=228 terr=0.00012 serr=0.00121 act=544965 obj=372.35708 diff=0.00138
iter=229 terr=0.00012 serr=0.00121 act=544965 obj=371.79228 diff=0.00152
iter=230 terr=0.00012 serr=0.00121 act=544965 obj=371.40747 diff=0.00103
iter=231 terr=0.00012 serr=0.00121 act=544965 obj=371.36247 diff=0.00012
iter=232 terr=0.00012 serr=0.00121 act=544965 obj=371.26342 diff=0.00027
iter=233 terr=0.00012 serr=0.00121 act=544965 obj=371.07538 diff=0.00051
iter=234 terr=0.00012 serr=0.00121 act=544965 obj=370.87756 diff=0.00053
iter=235 terr=0.00012 serr=0.00121 act=544965 obj=370.57333 diff=0.00082
iter=236 terr=0.00012 serr=0.00121 act=544965 obj=370.46086 diff=0.00030
iter=237 terr=0.00012 serr=0.00121 act=544965 obj=370.20865 diff=0.00068
iter=238 terr=0.00012 serr=0.00121 act=544965 obj=370.04039 diff=0.00045
iter=239 terr=0.00012 serr=0.00121 act=544965 obj=369.82591 diff=0.00058
iter=240 terr=0.00012 serr=0.00121 act=544965 obj=370.14494 diff=0.00086
iter=241 terr=0.00012 serr=0.00121 act=544965 obj=369.69087 diff=0.00123
iter=242 terr=0.00012 serr=0.00121 act=544965 obj=369.42995 diff=0.00071
iter=243 terr=0.00012 serr=0.00121 act=544965 obj=369.21268 diff=0.00059
iter=244 terr=0.00012 serr=0.00121 act=544965 obj=369.04313 diff=0.00046
iter=245 terr=0.00012 serr=0.00121 act=544965 obj=368.99173 diff=0.00014
iter=246 terr=0.00012 serr=0.00121 act=544965 obj=368.77109 diff=0.00060
iter=247 terr=0.00012 serr=0.00121 act=544965 obj=368.52820 diff=0.00066
iter=248 terr=0.00012 serr=0.00121 act=544965 obj=368.25652 diff=0.00074
iter=249 terr=0.00012 serr=0.00121 act=544965 obj=368.06206 diff=0.00053
iter=250 terr=0.00012 serr=0.00121 act=544965 obj=367.94276 diff=0.00032
iter=251 terr=0.00012 serr=0.00121 act=544965 obj=367.82464 diff=0.00032
iter=252 terr=0.00012 serr=0.00121 act=544965 obj=367.73644 diff=0.00024
iter=253 terr=0.00012 serr=0.00121 act=544965 obj=367.59745 diff=0.00038
iter=254 terr=0.00012 serr=0.00121 act=544965 obj=367.47360 diff=0.00034
iter=255 terr=0.00012 serr=0.00121 act=544965 obj=367.35648 diff=0.00032
iter=256 terr=0.00012 serr=0.00121 act=544965 obj=367.25137 diff=0.00029
iter=257 terr=0.00012 serr=0.00121 act=544965 obj=366.98679 diff=0.00072
iter=258 terr=0.00012 serr=0.00121 act=544965 obj=366.81869 diff=0.00046
iter=259 terr=0.00012 serr=0.00121 act=544965 obj=366.73446 diff=0.00023
iter=260 terr=0.00012 serr=0.00121 act=544965 obj=366.66781 diff=0.00018
iter=261 terr=0.00012 serr=0.00121 act=544965 obj=366.62471 diff=0.00012
iter=262 terr=0.00012 serr=0.00121 act=544965 obj=366.46691 diff=0.00043
iter=263 terr=0.00012 serr=0.00121 act=544965 obj=366.38402 diff=0.00023
iter=264 terr=0.00012 serr=0.00121 act=544965 obj=366.34629 diff=0.00010
iter=265 terr=0.00012 serr=0.00121 act=544965 obj=366.27757 diff=0.00019
iter=266 terr=0.00012 serr=0.00121 act=544965 obj=366.21665 diff=0.00017
iter=267 terr=0.00012 serr=0.00121 act=544965 obj=366.28353 diff=0.00018
iter=268 terr=0.00012 serr=0.00121 act=544965 obj=366.19061 diff=0.00025
iter=269 terr=0.00012 serr=0.00121 act=544965 obj=366.13577 diff=0.00015
iter=270 terr=0.00012 serr=0.00121 act=544965 obj=366.08180 diff=0.00015
iter=271 terr=0.00012 serr=0.00121 act=544965 obj=366.00812 diff=0.00020
iter=272 terr=0.00012 serr=0.00121 act=544965 obj=365.93975 diff=0.00019
iter=273 terr=0.00012 serr=0.00121 act=544965 obj=365.92938 diff=0.00003
iter=274 terr=0.00012 serr=0.00121 act=544965 obj=365.86685 diff=0.00017
iter=275 terr=0.00012 serr=0.00121 act=544965 obj=365.75381 diff=0.00031
iter=276 terr=0.00012 serr=0.00121 act=544965 obj=365.67975 diff=0.00020
iter=277 terr=0.00012 serr=0.00121 act=544965 obj=365.73498 diff=0.00015
iter=278 terr=0.00012 serr=0.00121 act=544965 obj=365.64726 diff=0.00024
iter=279 terr=0.00012 serr=0.00121 act=544965 obj=365.61756 diff=0.00008
iter=280 terr=0.00012 serr=0.00121 act=544965 obj=365.56925 diff=0.00013
iter=281 terr=0.00012 serr=0.00121 act=544965 obj=365.51832 diff=0.00014
iter=282 terr=0.00012 serr=0.00121 act=544965 obj=365.47550 diff=0.00012
iter=283 terr=0.00012 serr=0.00121 act=544965 obj=365.41236 diff=0.00017
iter=284 terr=0.00012 serr=0.00121 act=544965 obj=365.34472 diff=0.00019
iter=285 terr=0.00012 serr=0.00121 act=544965 obj=365.29878 diff=0.00013
iter=286 terr=0.00012 serr=0.00121 act=544965 obj=365.31519 diff=0.00004
iter=287 terr=0.00012 serr=0.00121 act=544965 obj=365.27938 diff=0.00010
iter=288 terr=0.00012 serr=0.00121 act=544965 obj=365.26508 diff=0.00004

Done!229.86 s

-> Setting up chunker: chunker_crfpp_fix
-> Setting up chunker: chunker_rule_title
-> Setting up chunker: chunker_rule_road
-> Setting up chunker: chunker_remove_nested
--> RemoveNested chunker
-> Setting up chunker: chunker_pipe
-> Setting up chunker: chunker_cp
--> Chunk propagation
2016-11-04 12:06:33,199 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 1 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107459.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107459.ini
(ChunkerEvaluator) Sentence #7 from articles/00107459 from sent7

Text  : Us podkreśla , ze nie prosił Łukaszenki o łaskę i  nie podpisywał żadnych zobowiązań np .  do współpracy z  KGB .
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] = Łukaszenki (confidence=1.00)
  TruePositive nam [20,20] = KGB (confidence=1.00)
  FalseNegative nam [1,1] = Us

(ChunkerEvaluator) Sentence #9 from articles/00107459 from sent9

Text  : Tysiące Białorusinów wyszło wtedy na ulice Mińska , by zaprotestować przeciwko sfałszowaniu przez władze wyników wyborów ,  które według oficjalnych danych Łukaszenka wygrał z  prawie 80 -  proc .  poparciem .
Tokens: 1______ 2___________ 3_____ 4____ 5_ 6____ 7_____ 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] = Mińska (confidence=1.00)
  TruePositive nam [22,22] = Łukaszenka (confidence=1.00)
  FalsePositive nam [1,2] = Tysiące Białorusinów (confidence=0.77)
  FalseNegative nam [2,2] = Białorusinów

(ChunkerEvaluator) Sentence #11 from articles/00107459 from sent11

Text  : Us jest przekonany , że wyszedł na wolność „ z  powodu presji na reżim Łukaszenki ze strony UE i  USA ,  a  także groźby wprowadzenia politycznych i  ekonomicznych sankcji ”  .
Tokens: 1_ 2___ 3_________ 4 5_ 6______ 7_ 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] = Łukaszenki (confidence=0.98)
  TruePositive nam [18,18] = UE (confidence=1.00)
  TruePositive nam [20,20] = USA (confidence=1.00)
  FalseNegative nam [1,1] = Us

(ChunkerEvaluator) Sentence #12 from articles/00107459 from sent12

Text  : W sytuacji , gdy białoruska gospodarka jest w głębokim kryzysie ,  inflacja sięgnęła już 60 proc .  ,  rubel białoruski gwałtownie traci na wartości ,  a  firmom brakuje waluty ,  Mińsk szuka zbliżenia z  Zachodem ,  by starać się o  nowe kredyty ratunkowe .
Tokens: 1 2_______ 3 4__ 5_________ 6_________ 7___ 8 9_______ 10______ 11 12______ 13______ 14_ 15 16__ 17 18 19___ 20________ 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 [31,31] = Mińsk (confidence=0.99)
  TruePositive nam [35,35] = Zachodem (confidence=0.99)
  FalseNegative nam [19,19] = rubel

(ChunkerEvaluator) Sentence #16 from articles/00107459 from sent16

Text  : Szef Zjednoczonej Partii Obywatelskiej Anatol Labiedźka , który był w  składzie delegacji białoruskiej opozycji na warszawski szczyt Partnerstwa Wschodniego ,  został w  Mińsku napadnięty przez nieznanych sprawców .
Tokens: 1___ 2___________ 3_____ 4____________ 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] = Anatol Labiedźka (confidence=0.96)
  TruePositive nam [18,19] = Partnerstwa Wschodniego (confidence=1.00)
  TruePositive nam [23,23] = Mińsku (confidence=1.00)
  FalsePositive nam [1,4] = Szef Zjednoczonej Partii Obywatelskiej (confidence=0.57)
  FalseNegative nam [2,4] = Zjednoczonej Partii Obywatelskiej

2016-11-04 12:06:33,516 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 2 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107565.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107565.ini
(ChunkerEvaluator) Sentence #35 from articles/00107565 from sent1

Text  : Skarby ukryte * *
Tokens: 1_____ 2_____ 3 4

Chunks:
  FalseNegative nam [1,2] = Skarby ukryte

(ChunkerEvaluator) Sentence #37 from articles/00107565 from sent3

Text  : Skarby ukryte * *
Tokens: 1_____ 2_____ 3 4

Chunks:
  FalseNegative nam [1,2] = Skarby ukryte

(ChunkerEvaluator) Sentence #42 from articles/00107565 from sent8

Text  : „ Skarby ukryte ” są o uczciwości - mówił „  Gazecie ”  reżyser .
Tokens: 1 2_____ 3_____ 4 5_ 6 7_________ 8 9____ 10 11_____ 12 13_____ 14

Chunks:
  TruePositive nam [11,11] = Gazecie (confidence=1.00)
  FalseNegative nam [2,3] = Skarby ukryte

(ChunkerEvaluator) Sentence #45 from articles/00107565 from sent11

Text  : Arystokratka Róża ( Maja Komorowska ) przybywa do kraju z  Paryża .
Tokens: 1___________ 2___ 3 4___ 5_________ 6 7_______ 8_ 9____ 10 11____ 12

Chunks:
  TruePositive nam [4,5] = Maja Komorowska (confidence=1.00)
  TruePositive nam [11,11] = Paryża (confidence=1.00)
  FalsePositive nam [1,2] = Arystokratka Róża (confidence=0.54)
  FalseNegative nam [2,2] = Róża

2016-11-04 12:06:33,589 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 3 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107566.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107566.ini
2016-11-04 12:06:33,648 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 4 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107569.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107569.ini
(ChunkerEvaluator) Sentence #71 from articles/00107569 from sent2

Text  : Dzieło Joanny Rajkowskiej „ Pozdrowienia z Alej Jerozolimskich ” ma już 9  lat .
Tokens: 1_____ 2_____ 3__________ 4 5___________ 6 7___ 8_____________ 9 10 11_ 12 13_ 14

Chunks:
  TruePositive nam [2,3] = Joanny Rajkowskiej (confidence=0.92)
  FalsePositive nam [7,8] = Alej Jerozolimskich (confidence=0.57)
  FalseNegative nam [5,8] = Pozdrowienia z Alej Jerozolimskich

(ChunkerEvaluator) Sentence #72 from articles/00107569 from sent3

Text  : Palma stanęła na rondzie de Gaulle'a 12 grudnia 2002 r  .
Tokens: 1____ 2______ 3_ 4______ 5_ 6_______ 7_ 8______ 9___ 10 11

Chunks:
  FalsePositive nam [6,6] = Gaulle'a (confidence=1.00)
  FalseNegative nam [4,6] = rondzie de Gaulle'a

(ChunkerEvaluator) Sentence #74 from articles/00107569 from sent5

Text  : Dobrze pamiętamy boje o Palmę i liczne kontrowersje , które towarzyszyły jej stawianiu .
Tokens: 1_____ 2________ 3___ 4 5____ 6 7_____ 8___________ 9 10___ 11__________ 12_ 13_______ 14

Chunks:
  FalsePositive nam [5,5] = Palmę (confidence=1.00)

(ChunkerEvaluator) Sentence #81 from articles/00107569 from sent12

Text  : godz . 17 . 30 - powitalne przemówienia Fabia Cavallucciego ,  dyrektora CSW Zamek Ujazdowski i  Małgorzaty Naimskiej ,  wicedyrektorki Biura Kultury Urzędu m  .  st .  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 27 28______

Chunks:
  TruePositive nam [9,10] = Fabia Cavallucciego (confidence=1.00)
  TruePositive nam [13,15] = CSW Zamek Ujazdowski (confidence=1.00)
  TruePositive nam [17,18] = Małgorzaty Naimskiej (confidence=0.99)
  FalsePositive nam [21,23] = Biura Kultury Urzędu (confidence=1.00)
  FalsePositive nam [28,28] = Warszawy (confidence=0.87)
  FalseNegative nam [21,28] = Biura Kultury Urzędu m . st . Warszawy

(ChunkerEvaluator) Sentence #82 from articles/00107569 from sent13

Text  : godz . 18 . 15 - wykład Toma Finkelpearla ,  dyrektora Queens Museum of Art w  Nowym Jorku „  Who is public art for ?
Tokens: 1___ 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] = Toma Finkelpearla (confidence=1.00)
  TruePositive nam [17,18] = Nowym Jorku (confidence=1.00)
  FalsePositive nam [12,13] = Queens Museum (confidence=1.00)
  FalsePositive nam [15,15] = Art (confidence=0.96)
  FalseNegative nam [12,15] = Queens Museum of Art

(ChunkerEvaluator) Sentence #84 from articles/00107569 from sent15

Text  : godz . 17 . 30 - wystąpienie Marka Kraszewskiego ,  dyrektora Biura Kultury Urzędu m  .  st .  Warszawy
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] = Marka Kraszewskiego (confidence=1.00)
  FalsePositive nam [12,14] = Biura Kultury Urzędu (confidence=1.00)
  FalsePositive nam [19,19] = Warszawy (confidence=0.87)
  FalseNegative nam [12,19] = Biura Kultury Urzędu m . st . Warszawy

(ChunkerEvaluator) Sentence #86 from articles/00107569 from sent17

Text  : godz . 18 - Prezentacja Jakuba Szczęsnego , architekta z  Grupy Projektowej Centrala „  Doświadczenia w  pracy nad ingerencjami architektonicznymi z  politykami i  społecznościami lokalnymi w  Polsce i  za granicą ”  .
Tokens: 1___ 2 3_ 4 5__________ 6_____ 7_________ 8 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] = Grupy Projektowej Centrala (confidence=1.00)
  FalsePositive nam [5,7] = Prezentacja Jakuba Szczęsnego (confidence=0.69)
  FalsePositive nam [27,27] = Polsce (confidence=1.00)
  FalseNegative nam [6,7] = Jakuba Szczęsnego
  FalseNegative nam [15,30] = Doświadczenia w pracy nad ingerencjami architektonicznymi z politykami i społecznościami lokalnymi w Polsce i za granicą

(ChunkerEvaluator) Sentence #87 from articles/00107569 from sent18

Text  : godz . 17 . 30 - powitalne wystąpienie Leszka Napiontka z  biura kultury m  .  st .  Warszawy
Tokens: 1___ 2 3_ 4 5_ 6 7________ 8__________ 9_____ 10_______ 11 12___ 13_____ 14 15 16 17 18______

Chunks:
  TruePositive nam [9,10] = Leszka Napiontka (confidence=1.00)
  FalsePositive nam [18,18] = Warszawy (confidence=0.98)
  FalseNegative nam [12,18] = biura kultury m . st . Warszawy

(ChunkerEvaluator) Sentence #88 from articles/00107569 from sent19

Text  : godz . 17 . 45 - prezentacja Magdaleny Materny ,  prezes Fundacji Open Art Projects Open Art Projects „  Opening Doors /  Otwierając drzwi ”
Tokens: 1___ 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] = Magdaleny Materny (confidence=1.00)
  FalsePositive nam [12,18] = Fundacji Open Art Projects Open Art Projects (confidence=1.00)
  FalsePositive nam [20,21] = Opening Doors (confidence=0.99)
  FalseNegative nam [12,15] = Fundacji Open Art Projects
  FalseNegative nam [16,18] = Open Art Projects
  FalseNegative nam [20,24] = Opening Doors / Otwierając drzwi

(ChunkerEvaluator) Sentence #89 from articles/00107569 from sent20

Text  : godz . 18 . 15 - wykład Charlotte Cohen z  biura ds .  Sztuk Wizualnych w  Centralnej Administracji Amerykańskiej „  Art and the City :  Approaches to Programs and Projects /  Sztuka i  miasto :  programy i  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 26________ 27 28______ 29_ 30______ 31 32____ 33 34____ 35 36______ 37 38______ 39

Chunks:
  TruePositive nam [8,9] = Charlotte Cohen (confidence=1.00)
  FalsePositive nam [14,15] = Sztuk Wizualnych (confidence=0.89)
  FalsePositive nam [17,19] = Centralnej Administracji Amerykańskiej (confidence=0.98)
  FalsePositive nam [21,24] = Art and the City (confidence=0.95)
  FalsePositive nam [30,30] = Projects (confidence=0.98)
  FalsePositive nam [32,32] = Sztuka (confidence=1.00)
  FalseNegative nam [14,19] = Sztuk Wizualnych w Centralnej Administracji Amerykańskiej
  FalseNegative nam [21,38] = Art and the City : Approaches to Programs and Projects / Sztuka i miasto : programy i projekty

2016-11-04 12:06:33,803 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 5 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107570.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107570.ini
(ChunkerEvaluator) Sentence #91 from articles/00107570 from sent2

Text  : Kuźnik Stanisław ( Sojusz Lewicy Demokratycznej ) - Koalicyjny Komitet Wyborczy Sojusz Lewicy Demokratycznej -  Unia Pracy ,  lat 52 ,  wykształcenie wyższe
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] = Kuźnik Stanisław (confidence=0.99)
  TruePositive nam [4,6] = Sojusz Lewicy Demokratycznej (confidence=1.00)
  FalsePositive nam [9,14] = Koalicyjny Komitet Wyborczy Sojusz Lewicy Demokratycznej (confidence=1.00)
  FalsePositive nam [16,17] = Unia Pracy (confidence=0.99)
  FalseNegative nam [9,17] = Koalicyjny Komitet Wyborczy Sojusz Lewicy Demokratycznej - Unia Pracy

(ChunkerEvaluator) Sentence #94 from articles/00107570 from sent5

Text  : Pruszkowski Tadeusz Antoni ( Polskie Stronnictwo Ludowe ) - Komitet Wyborczy Polskiego Stronnictwa Ludowego ,  lat 54 ,  wykształcenie wyższe
Tokens: 1__________ 2______ 3_____ 4 5______ 6__________ 7_____ 8 9 10_____ 11______ 12_______ 13_________ 14______ 15 16_ 17 18 19___________ 20____

Chunks:
  TruePositive nam [5,7] = Polskie Stronnictwo Ludowe (confidence=1.00)
  TruePositive nam [10,14] = Komitet Wyborczy Polskiego Stronnictwa Ludowego (confidence=0.97)
  FalsePositive nam [2,3] = Tadeusz Antoni (confidence=0.93)
  FalseNegative nam [1,3] = Pruszkowski Tadeusz Antoni

(ChunkerEvaluator) Sentence #95 from articles/00107570 from sent6

Text  : Jędryka Marcin Edmund ( Samoobrona RP ) - Komitet Wyborczy Samoobrona Rzeczypospolitej Polskiej ,  lat 26 ,  wykształcenie wyższe
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] = Samoobrona RP (confidence=0.95)
  TruePositive nam [9,13] = Komitet Wyborczy Samoobrona Rzeczypospolitej Polskiej (confidence=0.97)
  FalsePositive nam [1,1] = Jędryka (confidence=0.91)
  FalsePositive nam [2,3] = Marcin Edmund (confidence=0.86)
  FalseNegative nam [1,3] = Jędryka Marcin Edmund

2016-11-04 12:06:33,859 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 6 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107575.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107575.ini
(ChunkerEvaluator) Sentence #97 from articles/00107575 from sent1

Text  : „ Policjanci ” bili aż do krwi .
Tokens: 1 2_________ 3 4___ 5_ 6_ 7___ 8

Chunks:
  FalsePositive nam [2,2] = Policjanci (confidence=0.57)

(ChunkerEvaluator) Sentence #107 from articles/00107575 from sent11

Text  : Gazeta twierdzi , że w domu „ krew była wszędzie ,  na podłodze i  na ścianie ”  .
Tokens: 1_____ 2_______ 3 4_ 5 6___ 7 8___ 9___ 10______ 11 12 13______ 14 15 16_____ 17 18

Chunks:
  FalseNegative nam [1,1] = Gazeta

2016-11-04 12:06:34,043 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 7 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107576.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107576.ini
(ChunkerEvaluator) Sentence #179 from articles/00107576 from sent33

Text  : Ozdoby zawiesili także Kancelaria Radcy Prawnego Marzanny Szkopek oraz płocki klub radnych PJN .
Tokens: 1_____ 2________ 3____ 4_________ 5____ 6_______ 7_______ 8______ 9___ 10____ 11__ 12_____ 13_ 14

Chunks:
  TruePositive nam [13,13] = PJN (confidence=1.00)
  FalsePositive nam [4,6] = Kancelaria Radcy Prawnego (confidence=1.00)
  FalsePositive nam [7,8] = Marzanny Szkopek (confidence=0.96)
  FalseNegative nam [4,8] = Kancelaria Radcy Prawnego Marzanny Szkopek

(ChunkerEvaluator) Sentence #194 from articles/00107576 from sent48

Text  : Wpłat należy dokonywać na konto : Stowarzyszenie Pomocy Dzieciom Niepełnosprawnym i  ich Rodzinom „  Silni Razem ”  BOŚ o  .  Płock 26 1540 1290 2001 5970 5859 0009 z  dopiskiem w  tytule przelewu /  wpłaty :  „  choinka "  .
Tokens: 1____ 2_____ 3________ 4_ 5____ 6 7_____________ 8_____ 9_______ 10______________ 11 12_ 13______ 14 15___ 16___ 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 [21,21] = Płock (confidence=0.99)
  FalsePositive nam [7,10] = Stowarzyszenie Pomocy Dzieciom Niepełnosprawnym (confidence=1.00)
  FalsePositive nam [15,16] = Silni Razem (confidence=0.70)
  FalseNegative nam [7,17] = Stowarzyszenie Pomocy Dzieciom Niepełnosprawnym i ich Rodzinom „ Silni Razem ”
  FalseNegative nam [18,18] = BOŚ

(ChunkerEvaluator) Sentence #195 from articles/00107576 from sent49

Text  : A później prosimy o kontakt z nami : tel .  507 094 611 ,  507 094 616 ,  e  -  mail :  choinka @  plock .  agora .  pl .  Jeśli zrobicie to do godz .  16 ,  będziecie mieli gwarancję ,  że bombka lub inna ozdoba zawiśnie na choince już następnego dnia .
Tokens: 1 2______ 3______ 4 5______ 6 7___ 8 9__ 10 11_ 12_ 13_ 14 15_ 16_ 17_ 18 19 20 21__ 22 23_____ 24 25___ 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:
  FalseNegative nam [23,29] = choinka @ plock . agora . pl

2016-11-04 12:06:34,230 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 8 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107579.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107579.ini
(ChunkerEvaluator) Sentence #203 from articles/00107579 from sent8

Text  : W sobotę akcję „ Witamy przyszłe mamy ” organizuje placówka na Józefowie
Tokens: 1 2_____ 3____ 4 5_____ 6_______ 7___ 8 9_________ 10______ 11 12_______

Chunks:
  TruePositive nam [12,12] = Józefowie (confidence=1.00)
  FalseNegative nam [5,7] = Witamy przyszłe mamy

(ChunkerEvaluator) Sentence #204 from articles/00107579 from sent9

Text  : Poradnia onkologiczna szpitala na Józefowie zaprasza pacjentów na badania specjalistyczne w  piątek w  godz .  14 -  18 .
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] = Józefowie (confidence=1.00)
  FalseNegative nam [1,3] = Poradnia onkologiczna szpitala

2016-11-04 12:06:34,392 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 9 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107580.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107580.ini
(ChunkerEvaluator) Sentence #216 from articles/00107580 from sent1

Text  : Gdzie mistrzostwa , tam Jasiński
Tokens: 1____ 2__________ 3 4__ 5_______

Chunks:
  TruePositive nam [5,5] = Jasiński (confidence=1.00)
  FalseNegative nam [2,2] = mistrzostwa

(ChunkerEvaluator) Sentence #218 from articles/00107580 from sent3

Text  : Po udanych występach w mistrzostwach Europy w Szczecinie i kilku dniach przerwy w  czwartek i  piątek wystartował w  mistrzostwach Polski seniorów w  Poznaniu ,  gdzie zdobył dwa medale indywidualnie i  dwa w  sztafetach .
Tokens: 1_ 2______ 3________ 4 5____________ 6_____ 7 8_________ 9 10___ 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] = Szczecinie (confidence=1.00)
  TruePositive nam [23,23] = Poznaniu (confidence=1.00)
  FalsePositive nam [6,6] = Europy (confidence=0.64)
  FalsePositive nam [20,20] = Polski (confidence=0.97)
  FalseNegative nam [5,6] = mistrzostwach Europy
  FalseNegative nam [19,21] = mistrzostwach Polski seniorów

(ChunkerEvaluator) Sentence #219 from articles/00107580 from sent4

Text  : W nocy z piątku na sobotę przemieścił się do Madrytu ,  by wystąpić w  mistrzostwach Hiszpanii w  barwach swojego katalońskiego klubu z  Tarrasy .
Tokens: 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] = Madrytu (confidence=1.00)
  TruePositive nam [23,23] = Tarrasy (confidence=1.00)
  FalsePositive nam [16,16] = Hiszpanii (confidence=1.00)
  FalseNegative nam [15,16] = mistrzostwach Hiszpanii

2016-11-04 12:06:34,445 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 10 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107581.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107581.ini
2016-11-04 12:06:34,513 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 11 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107582.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107582.ini
2016-11-04 12:06:34,566 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 12 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107587.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107587.ini
(ChunkerEvaluator) Sentence #246 from articles/00107587 from sent1

Text  : PŚ w biegach - Ringo Star nowym idolem Vibeke Skofterud
Tokens: 1_ 2 3______ 4 5____ 6___ 7____ 8_____ 9_____ 10_______

Chunks:
  TruePositive nam [5,6] = Ringo Star (confidence=0.95)
  TruePositive nam [9,10] = Vibeke Skofterud (confidence=0.98)
  FalsePositive nam [1,1] = PŚ (confidence=0.60)
  FalseNegative nam [1,3] = PŚ w biegach

(ChunkerEvaluator) Sentence #247 from articles/00107587 from sent2

Text  : Biegaczka narciarska Vibeke Skofterud i wielokrotny mistrz olimpijski i świata Petter Northug kupili wspólnie konia wyścigowego .
Tokens: 1________ 2_________ 3_____ 4________ 5 6__________ 7_____ 8_________ 9 10____ 11____ 12_____ 13____ 14______ 15___ 16_________ 17

Chunks:
  TruePositive nam [3,4] = Vibeke Skofterud (confidence=1.00)
  TruePositive nam [11,12] = Petter Northug (confidence=1.00)
  FalseNegative nam [7,10] = mistrz olimpijski i świata

(ChunkerEvaluator) Sentence #248 from articles/00107587 from sent3

Text  : Czteroletni kłusak & quot ; Ringo Star M . &  quot ;  stał się w  grudniu oficjalną maskotką reprezentacji Norwegii .
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] = Norwegii (confidence=1.00)
  FalsePositive nam [6,8] = Ringo Star M (confidence=1.00)
  FalseNegative nam [6,7] = Ringo Star

(ChunkerEvaluator) Sentence #257 from articles/00107587 from sent12

Text  : Jest jednak określany w branży jako wielki talent z racji tego ,  że jest bratem słynnego kłusaka Shamana Stara ,  który już wygrał 330 tysięcy koron (  180 tys .  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

Chunks:
  TruePositive nam [18,19] = Shamana Stara (confidence=0.97)
  TruePositive nam [31,31] = złotych (confidence=0.99)
  FalseNegative nam [26,26] = koron

(ChunkerEvaluator) Sentence #258 from articles/00107587 from sent13

Text  : " Nasz Ringo nie osiągnął jeszcze sukcesów i dlatego był stosunkowo niedrogi .
Tokens: 1 2___ 3____ 4__ 5_______ 6______ 7_______ 8 9______ 10_ 11________ 12______ 13

Chunks:
  FalsePositive nam [2,3] = Nasz Ringo (confidence=0.70)
  FalseNegative nam [3,3] = Ringo

2016-11-04 12:06:34,655 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 13 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107589.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107589.ini
(ChunkerEvaluator) Sentence #262 from articles/00107589 from sent2

Text  : We wtorek w halo GOSiR przy ul . Olimpijskiej w  Gdyni rusza Gdynia Cup ,  międzynarodowy turniej młodzieżowej koszykówki .
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] = GOSiR (confidence=1.00)
  TruePositive nam [9,9] = Olimpijskiej (confidence=1.00)
  TruePositive nam [11,11] = Gdyni (confidence=1.00)
  TruePositive nam [13,14] = Gdynia Cup (confidence=1.00)
  FalseNegative nam [16,19] = międzynarodowy turniej młodzieżowej koszykówki

(ChunkerEvaluator) Sentence #268 from articles/00107589 from sent8

Text  : I to właśnie z tą ostatnią drużyną gdynianki zmierzą się na początku turnieju .
Tokens: 1 2_ 3______ 4 5_ 6_______ 7______ 8________ 9______ 10_ 11 12______ 13______ 14

Chunks:
  FalseNegative nam [8,8] = gdynianki

2016-11-04 12:06:34,721 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 14 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107593.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107593.ini
(ChunkerEvaluator) Sentence #279 from articles/00107593 from sent1

Text  : & quot ; Solidarność & quot ; zbiera podpisy ws .  referendum na temat wieku emerytalnego
Tokens: 1 2___ 3 4__________ 5 6___ 7 8_____ 9______ 10 11 12________ 13 14___ 15___ 16__________

Chunks:
  TruePositive nam [4,4] = Solidarność (confidence=0.92)
  FalseNegative nam [12,12] = referendum

(ChunkerEvaluator) Sentence #280 from articles/00107593 from sent2

Text  : W całym kraju zbierane są podpisy pod wnioskiem o przeprowadzenie referendum w  sprawie zachowania obecnych rozwiązań emerytalnych -  poinformowała w  poniedziałek &  quot ;  Solidarność &  quot ;  .
Tokens: 1 2____ 3____ 4_______ 5_ 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] = Solidarność (confidence=0.92)
  FalseNegative nam [11,11] = referendum

(ChunkerEvaluator) Sentence #282 from articles/00107593 from sent4

Text  : Jak poinformował Wojciech Gumułka , rzecznik przewodniczącego KK NSZZ Solidarność Piotra Dudy ,  podpisy zbierane są w  organizacjach zakładowych NSZZ "  Solidarność "  oraz we wszystkich strukturach regionalnych związku .
Tokens: 1__ 2___________ 3_______ 4______ 5 6_______ 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 [3,4] = Wojciech Gumułka (confidence=1.00)
  FalsePositive nam [8,12] = KK NSZZ Solidarność Piotra Dudy (confidence=1.00)
  FalsePositive nam [20,20] = NSZZ (confidence=0.57)
  FalseNegative nam [8,10] = KK NSZZ Solidarność
  FalseNegative nam [11,12] = Piotra Dudy
  FalseNegative nam [20,23] = NSZZ " Solidarność "

(ChunkerEvaluator) Sentence #284 from articles/00107593 from sent6

Text  : Związkowcy proponują , by pytanie referendalne brzmiało : " Czy jest Pani /  Pan za utrzymaniem dotychczasowego wieku uprawniającego do przejścia na emeryturę wynoszącego 60 lat dla kobiet i  65 lat dla 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

Chunks:
  FalsePositive nam [12,12] = Pani (confidence=0.85)

(ChunkerEvaluator) Sentence #291 from articles/00107593 from sent13

Text  : Na stronie internetowej akcji , pod adresem referendumemerytalne.pl , związkowcy informują na temat przebiegu akcji .
Tokens: 1_ 2______ 3___________ 4____ 5 6__ 7______ 8______________________ 9 10________ 11_______ 12 13___ 14_______ 15___ 16

Chunks:
  FalseNegative nam [8,8] = referendumemerytalne.pl

(ChunkerEvaluator) Sentence #293 from articles/00107593 from sent15

Text  : Decyzję o rozpoczęciu zbierania podpisów pod wnioskiem o przeprowadzenie referendum w  sprawie utrzymania obecnych rozwiązań emerytalnych Komisja Krajowa Solidarności podjęła 15 grudnia .
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 [17,19] = Komisja Krajowa Solidarności (confidence=1.00)
  FalseNegative nam [10,10] = referendum

(ChunkerEvaluator) Sentence #296 from articles/00107593 from sent18

Text  : Wiążą się z nią plany osobiste i rodzinne " -  napisano w  oficjalnym stanowisku NSZZ "  Solidarność "  .
Tokens: 1____ 2__ 3 4__ 5____ 6_______ 7 8_______ 9 10 11______ 12 13________ 14________ 15__ 16 17_________ 18 19

Chunks:
  FalsePositive nam [15,15] = NSZZ (confidence=0.67)
  FalseNegative nam [15,19] = NSZZ " Solidarność " .

(ChunkerEvaluator) Sentence #300 from articles/00107593 from sent22

Text  : " Solidarność " przytacza dane , że już teraz wśród pozostających bez pracy prawie 30 proc .  to osoby w  wieku 25 -  34 lata ,  a  21 proc .  nie przekroczyło 24 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 24 25__ 26 27 28 29__ 30 31_ 32__________ 33 34__ 35___ 36

Chunks:
  FalseNegative nam [2,2] = Solidarność

2016-11-04 12:06:34,876 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 15 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107595.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107595.ini
(ChunkerEvaluator) Sentence #304 from articles/00107595 from sent2

Text  : 6 stycznia prawosławni i wierni innych obrządków wschodnich , m  .  in .  grekokatolicy i  staroobrzędowcy ,  będą obchodzić wigilię świąt Bożego Narodzenia według kalendarza juliańskiego ,  czyli według tzw .  starego 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____ 30_ 31 32_____ 33___ 34

Chunks:
  FalsePositive nam [22,23] = Bożego Narodzenia (confidence=0.99)
  FalseNegative nam [20,23] = wigilię świąt Bożego Narodzenia

(ChunkerEvaluator) Sentence #312 from articles/00107595 from sent10

Text  : Mimo dyskusji , czy to sytuacja korzystna dla wiernych żyjących w  diasporze ,  znaczna część prawosławnych w  naszym kraju właśnie według kalendarza juliańskiego świętuje Boże Narodzenie .
Tokens: 1___ 2_______ 3 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] = Boże Narodzenie (confidence=1.00)
  FalseNegative nam [12,12] = diasporze

(ChunkerEvaluator) Sentence #314 from articles/00107595 from sent12

Text  : Od 2011 roku wigilia jest już na stałe ustawowo wolna ,  bo przypada w  katolickie Święto Trzech Króli .
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] = Święto Trzech Króli (confidence=1.00)
  FalseNegative nam [4,4] = wigilia

(ChunkerEvaluator) Sentence #319 from articles/00107595 from sent17

Text  : Bezwzględny post obowiązuje w wigilię Bożego Narodzenia .
Tokens: 1__________ 2___ 3_________ 4 5______ 6_____ 7_________ 8

Chunks:
  FalsePositive nam [6,7] = Bożego Narodzenia (confidence=1.00)
  FalseNegative nam [5,7] = wigilię Bożego Narodzenia

(ChunkerEvaluator) Sentence #320 from articles/00107595 from sent18

Text  : W czasie postnej kolacji , jedynego posiłku tego dnia ,  wierni dzielą się prosforą ,  czyli wypiekanym przaśnym chlebem -  odpowiednikiem opłatka w  Kościele katolickim .
Tokens: 1 2_____ 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 [24,24] = Kościele (confidence=1.00)
  FalseNegative nam [24,25] = Kościele katolickim

(ChunkerEvaluator) Sentence #321 from articles/00107595 from sent19

Text  : Prosfora ( z greckiego : ofiara ) to chleb używany w  Kościele wschodnim do konsekracji i  komunii .
Tokens: 1_______ 2 3 4________ 5 6_____ 7 8_ 9____ 10_____ 11 12______ 13_______ 14 15_________ 16 17_____ 18

Chunks:
  TruePositive nam [12,12] = Kościele (confidence=1.00)
  FalseNegative nam [17,17] = komunii

(ChunkerEvaluator) Sentence #323 from articles/00107595 from sent21

Text  : Dopiero gdy agapy , czyli wspólne wieczerze , oddzielono od liturgii ,  prosfora stała się chlebem liturgicznym .
Tokens: 1______ 2__ 3____ 4 5____ 6______ 7________ 8 9_________ 10 11______ 12 13______ 14___ 15_ 16_____ 17__________ 18

Chunks:
  FalseNegative nam [11,11] = liturgii

(ChunkerEvaluator) Sentence #333 from articles/00107595 from sent31

Text  : Przyjmuje się , że połowa z nich mieszka w województwie podlaskim ,  zwłaszcza w  jego południowo -  wschodniej części ,  powiatach :  hajnowskim ,  bielskim i  siemiatyckim oraz w  Białymstoku .
Tokens: 1________ 2__ 3 4_ 5_____ 6 7___ 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] = podlaskim (confidence=0.93)
  TruePositive nam [30,30] = Białymstoku (confidence=1.00)
  FalseNegative nam [23,23] = hajnowskim
  FalseNegative nam [25,25] = bielskim
  FalseNegative nam [27,27] = siemiatyckim

2016-11-04 12:06:35,062 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 16 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107597.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107597.ini
(ChunkerEvaluator) Sentence #338 from articles/00107597 from sent5

Text  : Podczas klubowej wigilii działacze podkreślali , że rozmowy zakończyły się niepowodzeniem .
Tokens: 1______ 2_______ 3______ 4________ 5__________ 6 7_ 8______ 9_________ 10_ 11____________ 12

Chunks:
  FalseNegative nam [3,3] = wigilii

2016-11-04 12:06:35,110 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 17 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107599.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107599.ini
2016-11-04 12:06:35,183 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 18 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107600.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107600.ini
(ChunkerEvaluator) Sentence #372 from articles/00107600 from sent2

Text  : Radwańska przeziębiona , Wiktorowski : Nie mamy jak leczyć
Tokens: 1________ 2___________ 3 4__________ 5 6__ 7___ 8__ 9_____

Chunks:
  TruePositive nam [4,4] = Wiktorowski (confidence=0.99)
  FalseNegative nam [1,1] = Radwańska

(ChunkerEvaluator) Sentence #373 from articles/00107600 from sent3

Text  : Agnieszka Radwańska grająca w turnieju WTA w Sydney zmaga się z  przeziębieniem .
Tokens: 1________ 2________ 3______ 4 5_______ 6__ 7 8_____ 9____ 10_ 11 12____________ 13

Chunks:
  TruePositive nam [1,2] = Agnieszka Radwańska (confidence=1.00)
  TruePositive nam [8,8] = Sydney (confidence=1.00)
  FalsePositive nam [6,6] = WTA (confidence=0.99)
  FalseNegative nam [5,6] = turnieju WTA

(ChunkerEvaluator) Sentence #380 from articles/00107600 from sent10

Text  : Turniej w Sydney jest ostatnim sprawdzianem przed Australian Open ,  pierwszym turniejem wielkoszlemowym w  tym sezonie ,  który rozpocznie się za 16 -  tego stycznia .
Tokens: 1______ 2 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] = Sydney (confidence=1.00)
  TruePositive nam [8,9] = Australian Open (confidence=1.00)
  FalseNegative nam [1,1] = Turniej

2016-11-04 12:06:35,228 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 19 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107602.xml
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(ChunkerEvaluator) Sentence #381 from articles/00107602 from sent1

Text  : PŚ w biathlonie .
Tokens: 1_ 2 3_________ 4

Chunks:
  FalsePositive nam [1,1] = PŚ (confidence=0.74)
  FalseNegative nam [1,3] = PŚ w biathlonie

(ChunkerEvaluator) Sentence #382 from articles/00107602 from sent2

Text  : Pałka dziewiąta , wygrana Berger
Tokens: 1____ 2________ 3 4______ 5_____

Chunks:
  TruePositive nam [5,5] = Berger (confidence=1.00)
  FalseNegative nam [1,1] = Pałka

(ChunkerEvaluator) Sentence #383 from articles/00107602 from sent3

Text  : Krystyna Pałka zajęła 9 . miejsce w biegu na dochodzenie na 10 km km biathlonowego Pucharu Świata ,  który odbył się w  czeskiej miejscowości Nove Mesto .
Tokens: 1_______ 2____ 3_____ 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] = Krystyna Pałka (confidence=1.00)
  TruePositive nam [25,26] = Nove Mesto (confidence=1.00)
  FalsePositive nam [16,17] = Pucharu Świata (confidence=1.00)
  FalseNegative nam [15,17] = biathlonowego Pucharu Świata

(ChunkerEvaluator) Sentence #385 from articles/00107602 from sent5

Text  : Liderka Pucharu Świata Niemka Magdalena Neuner była siódma .
Tokens: 1______ 2______ 3_____ 4_____ 5________ 6_____ 7___ 8_____ 9

Chunks:
  TruePositive nam [5,6] = Magdalena Neuner (confidence=0.57)
  FalsePositive nam [2,4] = Pucharu Świata Niemka (confidence=0.78)
  FalseNegative nam [2,3] = Pucharu Świata
  FalseNegative nam [4,4] = Niemka

2016-11-04 12:06:35,286 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 20 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107604.xml
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(ChunkerEvaluator) Sentence #395 from articles/00107604 from sent2

Text  : - Poznaniacy lubią , jak w Poznaniu się buduje -  stwierdził prezydent Ryszard Grobelny podczas wmurowania aktu arekcyjnego pod nowy dworzec PKP .
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] = Poznaniu (confidence=1.00)
  TruePositive nam [13,14] = Ryszard Grobelny (confidence=1.00)
  TruePositive nam [22,22] = PKP (confidence=1.00)
  FalseNegative nam [2,2] = Poznaniacy

(ChunkerEvaluator) Sentence #396 from articles/00107604 from sent3

Text  : W ziemi spoczęła też zabytkowa cegła , gazety ( m  .  in .  nasza )  i  najróżniejsze pendrive'y
Tokens: 1 2____ 3_______ 4__ 5________ 6____ 7 8_____ 9 10 11 12 13 14___ 15 16 17___________ 18________

Chunks:
  FalseNegative nam [18,18] = pendrive'y

(ChunkerEvaluator) Sentence #398 from articles/00107604 from sent5

Text  : - Poznaniacy lubią , jak w Poznaniu się buduje -  stwierdził prezydent Ryszard Grobelny podczas wmurowania kamienia węgielnego pod nowy dworzec PKP
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] = Poznaniu (confidence=1.00)
  TruePositive nam [13,14] = Ryszard Grobelny (confidence=1.00)
  TruePositive nam [22,22] = PKP (confidence=0.98)
  FalseNegative nam [2,2] = Poznaniacy

(ChunkerEvaluator) Sentence #401 from articles/00107604 from sent8

Text  : - Poznaniacy lubią , jak w Poznaniu się buduje -  stwierdził prezydent Ryszard Grobelny .
Tokens: 1 2_________ 3____ 4 5__ 6 7_______ 8__ 9_____ 10 11________ 12_______ 13_____ 14______ 15

Chunks:
  TruePositive nam [7,7] = Poznaniu (confidence=1.00)
  TruePositive nam [13,14] = Ryszard Grobelny (confidence=1.00)
  FalseNegative nam [2,2] = Poznaniacy

(ChunkerEvaluator) Sentence #406 from articles/00107604 from sent13

Text  : W ziemi spoczęła też XIX - wieczna cegła z pruskich fortyfikacji (  podarował ją wojewoda Piotr Florek )  i  specjalna tuba „  dla przyszłych pokoleń ”  .
Tokens: 1 2____ 3_______ 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 [16,17] = Piotr Florek (confidence=1.00)
  FalsePositive nam [5,5] = XIX (confidence=0.76)

(ChunkerEvaluator) Sentence #408 from articles/00107604 from sent15

Text  : A także zdjęcia poznaniaków zebrane na pendrivie .
Tokens: 1 2____ 3______ 4__________ 5______ 6_ 7________ 8

Chunks:
  FalseNegative nam [7,7] = pendrivie

2016-11-04 12:06:35,371 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 21 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107605.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107605.ini
2016-11-04 12:06:35,402 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 22 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107608.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107608.ini
(ChunkerEvaluator) Sentence #455 from articles/00107608 from sent29

Text  : Wiem , że niektórzy w USA drukują ją i sprzedają po 75 dol .  -  mówi Madaj .
Tokens: 1___ 2 3_ 4________ 5 6__ 7______ 8_ 9 10_______ 11 12 13_ 14 15 16__ 17___ 18

Chunks:
  TruePositive nam [6,6] = USA (confidence=1.00)
  TruePositive nam [17,17] = Madaj (confidence=1.00)
  FalseNegative nam [13,13] = dol

2016-11-04 12:06:35,519 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 23 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107611.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107611.ini
(ChunkerEvaluator) Sentence #464 from articles/00107611 from sent5

Text  : Skład Sportingu Lizbona : Rui Patricio - Oguchi Onyewu ,  Anderson Polga ,  Emiliano Insua ,  Joao Pereira -  Diego Capel ,  Daniel Carrico ,  Renato Neto (  65 -  Andre Marins )  ,  Matias Fernandez (  76 -  Andre Santos )  ,  Andre Carrillo -  Jeffren Suarez (  65 -  Diego Rubio )  .
Tokens: 1____ 2________ 3______ 4 5__ 6_______ 7 8_____ 9_____ 10 11______ 12___ 13 14______ 15___ 16 17__ 18_____ 19 20___ 21___ 22 23____ 24_____ 25 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 [5,6] = Rui Patricio (confidence=1.00)
  TruePositive nam [8,9] = Oguchi Onyewu (confidence=0.82)
  TruePositive nam [11,12] = Anderson Polga (confidence=1.00)
  TruePositive nam [14,15] = Emiliano Insua (confidence=1.00)
  TruePositive nam [17,18] = Joao Pereira (confidence=1.00)
  TruePositive nam [20,21] = Diego Capel (confidence=1.00)
  TruePositive nam [23,24] = Daniel Carrico (confidence=1.00)
  TruePositive nam [26,27] = Renato Neto (confidence=1.00)
  TruePositive nam [31,32] = Andre Marins (confidence=0.88)
  TruePositive nam [35,36] = Matias Fernandez (confidence=1.00)
  TruePositive nam [40,41] = Andre Santos (confidence=0.72)
  TruePositive nam [44,45] = Andre Carrillo (confidence=1.00)
  TruePositive nam [47,48] = Jeffren Suarez (confidence=0.99)
  TruePositive nam [52,53] = Diego Rubio (confidence=0.84)
  FalsePositive nam [1,3] = Skład Sportingu Lizbona (confidence=0.92)
  FalseNegative nam [2,3] = Sportingu Lizbona

(ChunkerEvaluator) Sentence #465 from articles/00107611 from sent6

Text  : W tym roku piłkarze Sportingu nie wygrali żadnego z sześciu meczów -  w  ekstraklasie ,  Pucharze Portugalii i  Pucharze Ligi .
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] = Sportingu (confidence=1.00)
  FalsePositive nam [16,20] = Pucharze Portugalii i Pucharze Ligi (confidence=1.00)
  FalseNegative nam [16,17] = Pucharze Portugalii
  FalseNegative nam [19,20] = Pucharze Ligi

2016-11-04 12:06:35,558 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 24 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107613.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107613.ini
(ChunkerEvaluator) Sentence #484 from articles/00107613 from sent18

Text  : Szefowa Zarządu , Grażyna Lendzion dzwoniła na Pogotowie Drogowe 116 razy ,  dużo skromniejszy wynik uzyskał rzecznik prasowy -  21 .
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] = Grażyna Lendzion (confidence=1.00)
  TruePositive nam [8,9] = Pogotowie Drogowe (confidence=1.00)
  FalsePositive nam [2,2] = Zarządu (confidence=0.93)

(ChunkerEvaluator) Sentence #487 from articles/00107613 from sent21

Text  : Zadzwoń na numer 22 19 633 .
Tokens: 1______ 2_ 3____ 4_ 5_ 6__ 7

Chunks:
  FalseNegative nam [4,6] = 22 19 633

2016-11-04 12:06:35,615 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 25 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107616.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107616.ini
(ChunkerEvaluator) Sentence #489 from articles/00107616 from sent2

Text  : Lider rankingu tenisistów Serb Novak Djokovic po raz drugi z  rzędu wygrał wielkoszlemowy Australian Open na twardych kortach w  Melbourne Park (  z  pulą nagród 26 mln dol .  austral .  )  .
Tokens: 1____ 2_______ 3_________ 4___ 5____ 6_______ 7_ 8__ 9____ 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] = Serb (confidence=1.00)
  TruePositive nam [5,6] = Novak Djokovic (confidence=0.96)
  TruePositive nam [14,15] = Australian Open (confidence=1.00)
  TruePositive nam [20,21] = Melbourne Park (confidence=1.00)
  FalseNegative nam [28,28] = dol

(ChunkerEvaluator) Sentence #493 from articles/00107616 from sent6

Text  : Natomiast Nadal ma w dorobku jedno zwycięstwo w tej imprezie ,  odniesione w  2009 roku .
Tokens: 1________ 2____ 3_ 4 5______ 6____ 7_________ 8 9__ 10______ 11 12________ 13 14__ 15__ 16

Chunks:
  FalseNegative nam [2,2] = Nadal

2016-11-04 12:06:35,651 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 26 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107618.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107618.ini
(ChunkerEvaluator) Sentence #499 from articles/00107618 from sent4

Text  : Urodzony w 1937 roku muzyk zamierza ruszyć w tournee dopiero jesienią .
Tokens: 1_______ 2 3___ 4___ 5____ 6_______ 7_____ 8 9______ 10_____ 11______ 12

Chunks:
  FalseNegative nam [9,9] = tournee

2016-11-04 12:06:35,681 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 27 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107620.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107620.ini
2016-11-04 12:06:35,711 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 28 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107621.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107621.ini
(ChunkerEvaluator) Sentence #517 from articles/00107621 from sent6

Text  : Panetta pytany w czwartek przez dziennikarzy , czy zaprzecza informacjom zawartym w  artykule Ignatiusa ,  powiedział :  "  Nie ,  po prostu nie komentuję "  .
Tokens: 1______ 2_____ 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] = Ignatiusa (confidence=0.99)
  FalseNegative nam [1,1] = Panetta

(ChunkerEvaluator) Sentence #518 from articles/00107621 from sent7

Text  : Ignatius napisał : " Panetta uważa , że istnieje silne prawdopodobieństwo ,  iż Izrael uderzy na Iran w  kwietniu ,  maju lub w  czerwcu "  ,  czyli zanim Iran wejdzie w  fazę zbrojeń ,  którą Izraelczycy nazywają "  strefą odporności "  (  ang .  zone of immunity )  ,  gdy będzie mógł bezkarnie budować bombę atomową .
Tokens: 1_______ 2______ 3 4 5______ 6____ 7 8_ 9_______ 10___ 11________________ 12 13 14____ 15____ 16 17__ 18 19______ 20 21__ 22_ 23 24_____ 25 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 [1,1] = Ignatius (confidence=0.93)
  TruePositive nam [14,14] = Izrael (confidence=1.00)
  TruePositive nam [17,17] = Iran (confidence=1.00)
  TruePositive nam [29,29] = Iran (confidence=1.00)
  TruePositive nam [36,36] = Izraelczycy (confidence=1.00)
  FalseNegative nam [5,5] = Panetta

(ChunkerEvaluator) Sentence #519 from articles/00107621 from sent8

Text  : Autor tekstu w " Washington Post " wyjaśnia , że w  ocenie Izraela Iran wkrótce będzie miał w  swych głębokich podziemnych bunkrach zmagazynowaną wystarczającą ilość wzbogaconego uranu ,  aby wyprodukować z  niego broń ,  "  i  wtedy tylko USA będą w  stanie militarnie go przed tym powstrzymać "  .
Tokens: 1____ 2_____ 3 4 5_________ 6___ 7 8_______ 9 10 11 12____ 13_____ 14__ 15_____ 16____ 17__ 18 19___ 20_______ 21_________ 22______ 23___________ 24___________ 25___ 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] = Washington Post (confidence=1.00)
  TruePositive nam [39,39] = USA (confidence=1.00)
  FalsePositive nam [13,14] = Izraela Iran (confidence=1.00)
  FalseNegative nam [13,13] = Izraela
  FalseNegative nam [14,14] = Iran

(ChunkerEvaluator) Sentence #520 from articles/00107621 from sent9

Text  : W piątek , podczas wizyty w bazie sił powietrznych NATO w  Ramstein ,  Panetta podkreślił ,  że kluczem do uniemożliwienia Iranowi wejścia w  posiadanie broni atomowej jest międzynarodowe poparcie dla surowych sankcji wobec tego 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___ 34__ 35___ 36

Chunks:
  TruePositive nam [10,10] = NATO (confidence=0.98)
  TruePositive nam [12,12] = Ramstein (confidence=0.98)
  TruePositive nam [21,21] = Iranowi (confidence=1.00)
  FalseNegative nam [14,14] = Panetta

(ChunkerEvaluator) Sentence #522 from articles/00107621 from sent11

Text  : Panetta nie odpowiedział wprost , tylko przypomniał międzynarodową presję dyplomatyczną na Iran i  sugerował ,  że opcja siłowa jest też rozważana .
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] = Iran (confidence=1.00)
  FalsePositive nam [1,1] = Panetta (confidence=0.60)

(ChunkerEvaluator) Sentence #523 from articles/00107621 from sent12

Text  : " Najważniejsze jest utrzymać tę presję , aby przekonać Iran ,  że nie powinien budować broni nuklearnej i  powinien dołączyć do międzynarodowej rodziny narodów "  -  oświadczył .
Tokens: 1 2____________ 3___ 4_______ 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 [10,10] = Iran (confidence=1.00)

2016-11-04 12:06:35,818 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 29 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107622.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107622.ini
2016-11-04 12:06:35,832 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 30 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107623.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107623.ini
(ChunkerEvaluator) Sentence #536 from articles/00107623 from sent5

Text  : Euro Apteka , Krowoderska 31 , tel . 430 00 35
Tokens: 1___ 2_____ 3 4__________ 5_ 6 7__ 8 9__ 10 11

Chunks:
  TruePositive nam [1,2] = Euro Apteka (confidence=0.99)
  FalsePositive nam [4,5] = Krowoderska 31 (confidence=0.99)
  FalseNegative nam [4,4] = Krowoderska

(ChunkerEvaluator) Sentence #537 from articles/00107623 from sent6

Text  : Galla 26 , tel . 636 73 65
Tokens: 1____ 2_ 3 4__ 5 6__ 7_ 8_

Chunks:
  FalseNegative nam [1,1] = Galla

(ChunkerEvaluator) Sentence #538 from articles/00107623 from sent7

Text  : Kalwaryjska 94 , tel . 656 18 50
Tokens: 1__________ 2_ 3 4__ 5 6__ 7_ 8_

Chunks:
  FalseNegative nam [1,1] = Kalwaryjska

(ChunkerEvaluator) Sentence #545 from articles/00107623 from sent14

Text  : Zakopane
Tokens: 1_______

Chunks:
  FalseNegative nam [1,1] = Zakopane

(ChunkerEvaluator) Sentence #546 from articles/00107623 from sent15

Text  : Kasprusie 40a , tel . 201 40 69
Tokens: 1________ 2__ 3 4__ 5 6__ 7_ 8_

Chunks:
  FalseNegative nam [1,1] = Kasprusie

(ChunkerEvaluator) Sentence #552 from articles/00107623 from sent21

Text  : Uniwersytecki Szpital Dziecięcy , Wielicka 265 , tel . 658 20 11
Tokens: 1____________ 2______ 3________ 4 5_______ 6__ 7 8__ 9 10_ 11 12

Chunks:
  TruePositive nam [1,3] = Uniwersytecki Szpital Dziecięcy (confidence=0.93)
  FalseNegative nam [5,5] = Wielicka

2016-11-04 12:06:35,863 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 31 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107624.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107624.ini
2016-11-04 12:06:35,909 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 32 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107625.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107625.ini
(ChunkerEvaluator) Sentence #563 from articles/00107625 from sent1

Text  : Sąd : kapitan statku Costa Concordia pozostanie w areszcie domowym
Tokens: 1__ 2 3______ 4_____ 5____ 6________ 7_________ 8 9_______ 10_____

Chunks:
  TruePositive nam [5,6] = Costa Concordia (confidence=1.00)
  FalseNegative nam [1,1] = Sąd

(ChunkerEvaluator) Sentence #564 from articles/00107625 from sent2

Text  : Sąd we Florencji utrzymał we wtorek areszt domowy wobec kapitana statku Costa Concordia Francesco Schettino ,  którego prokuratura obarcza odpowiedzialnością za doprowadzenie do katastrofy 13 stycznia u  wybrzeży wyspy Giglio w  Toskanii .
Tokens: 1__ 2_ 3________ 4_______ 5_ 6_____ 7_____ 8_____ 9____ 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] = Florencji (confidence=1.00)
  TruePositive nam [30,30] = Giglio (confidence=1.00)
  TruePositive nam [32,32] = Toskanii (confidence=0.95)
  FalsePositive nam [12,15] = Costa Concordia Francesco Schettino (confidence=1.00)
  FalseNegative nam [1,1] = Sąd
  FalseNegative nam [12,13] = Costa Concordia
  FalseNegative nam [14,15] = Francesco Schettino

2016-11-04 12:06:35,945 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 33 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107629.xml
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(ChunkerEvaluator) Sentence #571 from articles/00107629 from sent3

Text  : Warszawiacy postraszyli lidera
Tokens: 1__________ 2__________ 3_____

Chunks:
  FalseNegative nam [1,1] = Warszawiacy

(ChunkerEvaluator) Sentence #575 from articles/00107629 from sent7

Text  : W poprzednim sezonie zespół ze stolicy wygrał we własnej hali z  późniejszym mistrzem Polski 3  :  2  .
Tokens: 1 2_________ 3______ 4_____ 5_ 6______ 7_____ 8_ 9______ 10__ 11 12_________ 13______ 14____ 15 16 17 18

Chunks:
  TruePositive nam [14,14] = Polski (confidence=1.00)
  FalseNegative nam [13,13] = mistrzem

(ChunkerEvaluator) Sentence #596 from articles/00107629 from sent28

Text  : Ostatnią piłkę bełchatowianom udało się przyjąć , ale Falasca mógł tylko wystawić wysoko do Kurka .
Tokens: 1_______ 2____ 3_____________ 4____ 5__ 6______ 7 8__ 9______ 10__ 11___ 12______ 13____ 14 15___ 16

Chunks:
  TruePositive nam [9,9] = Falasca (confidence=0.99)
  TruePositive nam [15,15] = Kurka (confidence=1.00)
  FalseNegative nam [3,3] = bełchatowianom

2016-11-04 12:06:36,072 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 34 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107630.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107630.ini
(ChunkerEvaluator) Sentence #605 from articles/00107630 from sent5

Text  : Mediolańczycy bywają z tego powodu nazywani także Diavolo ( diabły )  .
Tokens: 1____________ 2_____ 3 4___ 5_____ 6_______ 7____ 8______ 9 10____ 11 12

Chunks:
  TruePositive nam [8,8] = Diavolo (confidence=0.89)
  FalseNegative nam [1,1] = Mediolańczycy

(ChunkerEvaluator) Sentence #620 from articles/00107630 from sent20

Text  : W meczu mediolańczycy nie strzelili ani jednego gola , ale holenderska drużyna trafiła do bramki aż sześć razy .
Tokens: 1 2____ 3____________ 4__ 5________ 6__ 7______ 8___ 9 10_ 11_________ 12_____ 13_____ 14 15____ 16 17___ 18__ 19

Chunks:
  FalseNegative nam [3,3] = mediolańczycy

(ChunkerEvaluator) Sentence #621 from articles/00107630 from sent21

Text  : W lutym na antenie ESPN Classic od poniedziałku do piątku o  godz .  18 .  00 ,  18 .  30 i  19 .  00 retransmisje meczów Premier League i  Serie 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

Chunks:
  TruePositive nam [5,6] = ESPN Classic (confidence=1.00)
  TruePositive nam [27,28] = Premier League (confidence=1.00)
  FalsePositive nam [30,31] = Serie A (confidence=0.98)

2016-11-04 12:06:36,145 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 35 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107631.xml
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(ChunkerEvaluator) Sentence #635 from articles/00107631 from sent14

Text  : Collegium Medicum Uniwersytetu Jagiellońskiego już zapowiedziało , że zmniejszy liczbę miejsc na medycynie o  17 procent .
Tokens: 1________ 2______ 3___________ 4______________ 5__ 6____________ 7 8_ 9________ 10____ 11____ 12 13_______ 14 15 16_____ 17

Chunks:
  FalsePositive nam [3,4] = Uniwersytetu Jagiellońskiego (confidence=0.56)
  FalseNegative nam [1,4] = Collegium Medicum Uniwersytetu Jagiellońskiego

(ChunkerEvaluator) Sentence #636 from articles/00107631 from sent15

Text  : - Jeśli skracamy studia o rok , to w trosce o  bezpieczeństwo przyszłych pacjentów uczciwie sobie powiedzieli śmy :  nie jesteśmy w  stanie wykształcić w  tak krótkim czasie takiej samej liczby osób jak dotychczas -  tak na łamach „  Gazety Wyborczej ”  mówił prof .  Tomasz Grodzicki ,  dziekan Wydziału Lekarskiego Collegium Medicum UJ .
Tokens: 1 2____ 3_______ 4_____ 5 6__ 7 8_ 9 10____ 11 12____________ 13________ 14_______ 15______ 16___ 17_________ 18_ 19 20_ 21______ 22 23____ 24_________ 25 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 [40,41] = Gazety Wyborczej (confidence=1.00)
  TruePositive nam [46,47] = Tomasz Grodzicki (confidence=1.00)
  FalsePositive nam [50,54] = Wydziału Lekarskiego Collegium Medicum UJ (confidence=1.00)
  FalseNegative nam [50,51] = Wydziału Lekarskiego
  FalseNegative nam [52,54] = Collegium Medicum UJ

(ChunkerEvaluator) Sentence #649 from articles/00107631 from sent28

Text  : Decyzja zapadnie na wtorkowym kolegium rektorskim .
Tokens: 1______ 2_______ 3_ 4________ 5_______ 6_________ 7

Chunks:
  FalseNegative nam [5,6] = kolegium rektorskim

(ChunkerEvaluator) Sentence #654 from articles/00107631 from sent33

Text  : Na przykład semestr na wydziale lekarskim kosztuje 10 tysięcy złotych ,  a  na stomatologii 12 tysięcy złotych .
Tokens: 1_ 2_______ 3______ 4_ 5_______ 6________ 7_______ 8_ 9______ 10_____ 11 12 13 14__________ 15 16_____ 17_____ 18

Chunks:
  FalseNegative nam [10,10] = złotych
  FalseNegative nam [17,17] = złotych

2016-11-04 12:06:36,294 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 36 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107633.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107633.ini
2016-11-04 12:06:36,325 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 37 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107634.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107634.ini
2016-11-04 12:06:36,420 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 38 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107636.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107636.ini
2016-11-04 12:06:36,463 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 39 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107640.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107640.ini
(ChunkerEvaluator) Sentence #705 from articles/00107640 from sent2

Text  : Funkcjonariusze Agencji Bezpieczeństwa Wewnętrznego ( ABW ) zatrzymali w piątek w  Chorzowie poszukiwanego od 2002 r  .  byłego wiceprezesa spółki Colloseum Piotra Wolnickiego -  podała ABW .
Tokens: 1______________ 2______ 3_____________ 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 [2,4] = Agencji Bezpieczeństwa Wewnętrznego (confidence=0.84)
  TruePositive nam [6,6] = ABW (confidence=1.00)
  TruePositive nam [12,12] = Chorzowie (confidence=1.00)
  TruePositive nam [26,26] = ABW (confidence=0.99)
  FalsePositive nam [21,23] = Colloseum Piotra Wolnickiego (confidence=0.99)
  FalseNegative nam [21,21] = Colloseum
  FalseNegative nam [22,23] = Piotra Wolnickiego

2016-11-04 12:06:36,501 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 40 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107642.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107642.ini
(ChunkerEvaluator) Sentence #713 from articles/00107642 from sent1

Text  : Liga francuska - 14 . kolejka
Tokens: 1___ 2________ 3 4_ 5 6______

Chunks:
  FalseNegative nam [1,2] = Liga francuska

(ChunkerEvaluator) Sentence #715 from articles/00107642 from sent3

Text  : Paryż ( PAP / Reuters ) - Wyniki meczów 14 .  kolejki piłkarskiej ligi Francji :  sobota :  Girondins Bordeaux :  2  -  Pauleta 31 ,  76 Rennes :  0  czerwona kartka :  Philippe Delaye 89 (  89 ,  Rennes )  En Avant Guingamp 0  Olympique Marsylia 0  Lille 0  Nantes 1  -  Stephane Ziani 49 Montpellier 2  -  Habib Bamogo 30 ,  Marc -  Eric Guei 54 -  karny Sedan 0  czerwona kartka :  Valery Mezague (  89 ,  Montpellier )  Paris St Germain 1  -  Bartholomew Ogbeche 65 Sochaux 1  -  Jeremy Mathieu 85 RC Strasbourg 1  -   Yannick Fischer 43  Lens 0   Troyes 3   -   Nicolas Gousse 23  -   karny ,   72  ,   Mamadou Niang 90  Bastia 0   czerwone kartki :   Cyril Jeunechamp (   79  ,   Bastia )   ,   Benjamin Nivet (   80  ,   Troyes )   piątek :   Nice 1   -   Everson 25  Monaco 0   czwartek :   AC  Ajaccio 1   -   Hoalid Regragui 89  AJ  Auxerre 0   Le  Havre 1   -   Anthony Le  Tallec 59  Olympique Lyon 2   -   Eric Carriere 9   ,   Claudio Cacapa 87  Tabela :   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_________ 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

Chunks:
  TruePositive nam [1,1] = Paryż (confidence=0.87)
  TruePositive nam [3,3] = PAP (confidence=1.00)
  TruePositive nam [5,5] = Reuters (confidence=0.98)
  TruePositive nam [15,15] = Francji (confidence=1.00)
  TruePositive nam [19,20] = Girondins Bordeaux (confidence=1.00)
  TruePositive nam [28,28] = Rennes (confidence=0.94)
  TruePositive nam [34,35] = Philippe Delaye (confidence=1.00)
  TruePositive nam [40,40] = Rennes (confidence=0.99)
  TruePositive nam [42,44] = En Avant Guingamp (confidence=0.88)
  TruePositive nam [46,47] = Olympique Marsylia (confidence=0.69)
  TruePositive nam [49,49] = Lille (confidence=0.98)
  TruePositive nam [51,51] = Nantes (confidence=0.73)
  TruePositive nam [54,55] = Stephane Ziani (confidence=0.90)
  TruePositive nam [57,57] = Montpellier (confidence=0.98)
  TruePositive nam [60,61] = Habib Bamogo (confidence=0.99)
  TruePositive nam [64,67] = Marc - Eric Guei (confidence=0.99)
  TruePositive nam [71,71] = Sedan (confidence=0.96)
  TruePositive nam [76,77] = Valery Mezague (confidence=1.00)
  TruePositive nam [81,81] = Montpellier (confidence=1.00)
  TruePositive nam [94,95] = Jeremy Mathieu (confidence=0.96)
  TruePositive nam [97,98] = RC Strasbourg (confidence=0.99)
  TruePositive nam [101,102] = Yannick Fischer (confidence=1.00)
  TruePositive nam [104,104] = Lens (confidence=0.95)
  TruePositive nam [106,106] = Troyes (confidence=0.95)
  TruePositive nam [109,110] = Nicolas Gousse (confidence=0.85)
  TruePositive nam [117,118] = Mamadou Niang (confidence=1.00)
  TruePositive nam [120,120] = Bastia (confidence=0.96)
  TruePositive nam [125,126] = Cyril Jeunechamp (confidence=1.00)
  TruePositive nam [130,130] = Bastia (confidence=0.93)
  TruePositive nam [133,134] = Benjamin Nivet (confidence=1.00)
  TruePositive nam [138,138] = Troyes (confidence=0.97)
  TruePositive nam [142,142] = Nice (confidence=0.97)
  TruePositive nam [145,145] = Everson (confidence=0.89)
  TruePositive nam [147,147] = Monaco (confidence=0.76)
  TruePositive nam [151,152] = AC Ajaccio (confidence=1.00)
  TruePositive nam [155,156] = Hoalid Regragui (confidence=0.94)
  TruePositive nam [158,159] = AJ Auxerre (confidence=0.95)
  TruePositive nam [161,162] = Le Havre (confidence=0.85)
  TruePositive nam [173,174] = Eric Carriere (confidence=1.00)
  TruePositive nam [177,178] = Claudio Cacapa (confidence=1.00)
  FalsePositive nam [83,86] = Paris St Germain 1 (confidence=1.00)
  FalsePositive nam [88,92] = Bartholomew Ogbeche 65 Sochaux 1 (confidence=0.99)
  FalsePositive nam [165,170] = Anthony Le Tallec 59 Olympique Lyon (confidence=0.99)
  FalsePositive nam [180,180] = Tabela (confidence=0.83)
  FalseNegative nam [24,24] = Pauleta
  FalseNegative nam [83,85] = Paris St Germain
  FalseNegative nam [88,89] = Bartholomew Ogbeche
  FalseNegative nam [91,91] = Sochaux
  FalseNegative nam [165,167] = Anthony Le Tallec
  FalseNegative nam [169,170] = Olympique Lyon

2016-11-04 12:06:36,609 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 41 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107643.xml
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(ChunkerEvaluator) Sentence #739 from articles/00107643 from sent7

Text  : Cykl 13 lekcji o bezpieczeństwie prowadzą wychowawcy klas I -  III oraz goście –  przedstawiciele służb ratowniczych :  policjanci i  strażacy .
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] = Cykl (confidence=0.92)

(ChunkerEvaluator) Sentence #768 from articles/00107643 from sent36

Text  : Elementem projektu jest specjalna strona internetowa www.kabecjaniedajarade.pl .
Tokens: 1________ 2_______ 3___ 4________ 5_____ 6__________ 7________________________ 8

Chunks:
  FalseNegative nam [7,7] = www.kabecjaniedajarade.pl

(ChunkerEvaluator) Sentence #773 from articles/00107643 from sent41

Text  : W I edycji wzięło udział 20 353 dzieci ze 116 szkół województw dolnośląskiego ,  łódzkiego i  śląskiego .
Tokens: 1 2 3_____ 4_____ 5_____ 6_ 7__ 8_____ 9_ 10_ 11___ 12________ 13____________ 14 15_______ 16 17_______ 18

Chunks:
  TruePositive nam [13,13] = dolnośląskiego (confidence=0.72)
  FalseNegative nam [15,15] = łódzkiego
  FalseNegative nam [17,17] = śląskiego

(ChunkerEvaluator) Sentence #778 from articles/00107643 from sent46

Text  : Projekt „ Kabecjanie dają radę ” jest częścią strategii zaangażowania społecznego „  Przyjazny rozwój dziecka ”  realizowanej przez Kredyt Bank i  korporacyjną Fundację ”  :  „  Chcemy tworzyć przyjazne środowiska dla rozwoju społeczności ,  w  których działamy ,  ze szczególnym wsparciem bezpiecznego rozwoju 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_____ 44____ 45 46

Chunks:
  TruePositive nam [3,5] = Kabecjanie dają radę (confidence=1.00)
  TruePositive nam [19,20] = Kredyt Bank (confidence=1.00)
  FalsePositive nam [23,23] = Fundację (confidence=0.55)
  FalseNegative nam [13,15] = Przyjazny rozwój dziecka

2016-11-04 12:06:36,849 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 42 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107646.xml
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(ChunkerEvaluator) Sentence #791 from articles/00107646 from sent13

Text  : Medyk namówił ich do udziału w polsatowskim teleturnieju " Milion od zaraz ”  .
Tokens: 1____ 2______ 3__ 4_ 5______ 6 7___________ 8___________ 9 10____ 11 12___ 13 14

Chunks:
  TruePositive nam [10,12] = Milion od zaraz (confidence=1.00)
  FalseNegative nam [7,7] = polsatowskim

(ChunkerEvaluator) Sentence #792 from articles/00107646 from sent14

Text  : Konkurs ten wygrywała osoba , której marzenia dostawały najwięcej sms -  owych głosów telewidzów .
Tokens: 1______ 2__ 3________ 4____ 5 6_____ 7_______ 8________ 9________ 10_ 11 12___ 13____ 14________ 15

Chunks:
  FalseNegative nam [10,10] = sms

(ChunkerEvaluator) Sentence #796 from articles/00107646 from sent18

Text  : Mańczakowie dostali od zwycięzcy tylko 50 tys . zł .
Tokens: 1__________ 2______ 3_ 4________ 5____ 6_ 7__ 8 9_ 10

Chunks:
  TruePositive nam [9,9] = zł (confidence=1.00)
  FalseNegative nam [1,1] = Mańczakowie

2016-11-04 12:06:36,915 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 43 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107648.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107648.ini
(ChunkerEvaluator) Sentence #802 from articles/00107648 from sent5

Text  : Początek obrad zaplanowano o 14 w Dworze Artusa .
Tokens: 1_______ 2____ 3__________ 4 5_ 6 7_____ 8_____ 9

Chunks:
  FalsePositive nam [7,7] = Dworze (confidence=0.96)
  FalsePositive nam [8,8] = Artusa (confidence=0.63)
  FalseNegative nam [7,8] = Dworze Artusa

2016-11-04 12:06:36,935 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 44 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107650.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107650.ini
(ChunkerEvaluator) Sentence #804 from articles/00107650 from sent1

Text  : Mazowiecka SLD potępia sprawców fałszerstwa wyborczego w Płocku
Tokens: 1_________ 2__ 3______ 4_______ 5__________ 6_________ 7 8_____

Chunks:
  TruePositive nam [2,2] = SLD (confidence=0.98)
  TruePositive nam [8,8] = Płocku (confidence=1.00)
  FalseNegative nam [1,1] = Mazowiecka

(ChunkerEvaluator) Sentence #808 from articles/00107650 from sent5

Text  : W oświadczeniu przysłanym PAP przewodniczący Rady Andrzej Piłat napisał m  .  in .  :  "  Sojusz Lewicy Demokratycznej działał i  działać będzie w  zgodzie z  regułami demokracji i  przepisami 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

Chunks:
  TruePositive nam [4,4] = PAP (confidence=0.99)
  TruePositive nam [7,8] = Andrzej Piłat (confidence=0.93)
  TruePositive nam [16,18] = Sojusz Lewicy Demokratycznej (confidence=0.99)
  FalsePositive nam [6,6] = Rady (confidence=1.00)

(ChunkerEvaluator) Sentence #812 from articles/00107650 from sent9

Text  : Zarząd przestrzegł przed ferowaniem przedwczesnych wyroków , ale zapowiedział ,  że jeśli potwierdzą się zarzuty Prokuratury stawiane niektórym członkom płockiego SLD ,  to "  dla takich ludzi nie będzie miejsca w  szeregach SLD "
Tokens: 1_____ 2__________ 3____ 4_________ 5_____________ 6______ 7 8__ 9___________ 10 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] = SLD (confidence=1.00)
  TruePositive nam [33,33] = SLD (confidence=1.00)
  FalsePositive nam [16,16] = Prokuratury (confidence=0.79)
  FalseNegative nam [1,1] = Zarząd

(ChunkerEvaluator) Sentence #818 from articles/00107650 from sent15

Text  : Prezydentem miasta został Mirosław Milewski z PiS , który wygrał z  dotychczas urzędującym Wojciechem Hetkowskim z  SLD -  UP różnicą 208 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

Chunks:
  TruePositive nam [4,5] = Mirosław Milewski (confidence=1.00)
  TruePositive nam [7,7] = PiS (confidence=1.00)
  TruePositive nam [14,15] = Wojciechem Hetkowskim (confidence=1.00)
  FalsePositive nam [17,17] = SLD (confidence=1.00)
  FalseNegative nam [17,19] = SLD - UP

(ChunkerEvaluator) Sentence #819 from articles/00107650 from sent16

Text  : ( PAP ) mwa / woj /
Tokens: 1 2__ 3 4__ 5 6__ 7

Chunks:
  TruePositive nam [2,2] = PAP (confidence=1.00)
  FalsePositive nam [4,4] = mwa (confidence=0.77)

2016-11-04 12:06:37,141 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 45 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107653.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107653.ini
(ChunkerEvaluator) Sentence #824 from articles/00107653 from sent5

Text  : Proces rozpoczął się w poniedziałek ponownie , przed sądem Okręgowym w  Białymstoku .
Tokens: 1_____ 2________ 3__ 4 5___________ 6_______ 7 8____ 9____ 10_______ 11 12_________ 13

Chunks:
  TruePositive nam [12,12] = Białymstoku (confidence=1.00)
  FalsePositive nam [10,10] = Okręgowym (confidence=0.98)
  FalseNegative nam [9,10] = sądem Okręgowym

(ChunkerEvaluator) Sentence #827 from articles/00107653 from sent8

Text  : Tomasz Hirnle w 2005 roku - jak ustaliła prokuratura w  Krakowie -  padł ofiarą swojego podwładnego Wojciecha S  .  Ten chciał się na nim zemścić za to ,  że nie został wybrany na specjalizację .
Tokens: 1_____ 2_____ 3 4___ 5___ 6 7__ 8_______ 9__________ 10 11______ 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] = Tomasz Hirnle (confidence=1.00)
  TruePositive nam [11,11] = Krakowie (confidence=1.00)
  FalsePositive nam [17,20] = Wojciecha S . Ten (confidence=1.00)
  FalseNegative nam [17,19] = Wojciecha S .

(ChunkerEvaluator) Sentence #831 from articles/00107653 from sent12

Text  : Lekarz trafił do aresztu , szpital zerwał z nim kontrakt gwarantujący kilkanaście tysięcy złotych pensji .
Tokens: 1_____ 2_____ 3_ 4______ 5 6______ 7_____ 8 9__ 10______ 11__________ 12_________ 13_____ 14_____ 15____ 16

Chunks:
  FalseNegative nam [14,14] = złotych

2016-11-04 12:06:37,317 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 46 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107654.xml
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(ChunkerEvaluator) Sentence #870 from articles/00107654 from sent10

Text  : W internecie można zobaczyć nagranie , na którym zmuszają schwytanego rebelianta ,  żeby zamiast muzułmańskiego wyznania wiary zaczynającego się słowami „  Nie ma Boga prócz Allaha ”  ,  recytował :  „  Nie ma Boga prócz Mahera ”  .
Tokens: 1 2_________ 3____ 4_______ 5_______ 6 7_ 8_____ 9_______ 10_________ 11________ 12 13__ 14_____ 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 [34,34] = Boga (confidence=0.90)
  TruePositive nam [36,36] = Mahera (confidence=0.62)
  FalsePositive nam [24,26] = Boga prócz Allaha (confidence=0.80)
  FalseNegative nam [24,24] = Boga
  FalseNegative nam [26,26] = Allaha

(ChunkerEvaluator) Sentence #871 from articles/00107654 from sent11

Text  : Utworzone w latach 60 . jako niezależne od armii Brygady Obrony (  dzisiejsza Czwarta Dywizja i  Gwardia Republikańska )  od początku były pomyślane jako osobista ochrona syryjskich władców ,  dlatego są złożone wyłącznie z  alawitów -  szyickiej sekty ,  z  której wywodzą się Asadowie .
Tokens: 1________ 2 3_____ 4_ 5 6___ 7_________ 8_ 9____ 10_____ 11____ 12 13________ 14_____ 15_____ 16 17_____ 18___________ 19 20 21______ 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 [10,11] = Brygady Obrony (confidence=0.95)
  TruePositive nam [14,15] = Czwarta Dywizja (confidence=1.00)
  TruePositive nam [17,18] = Gwardia Republikańska (confidence=0.91)
  TruePositive nam [44,44] = Asadowie (confidence=1.00)
  FalseNegative nam [35,35] = alawitów
  FalseNegative nam [37,37] = szyickiej

(ChunkerEvaluator) Sentence #879 from articles/00107654 from sent19

Text  : Wcześniej ponoć oboje odmawiali ewakuacji , podobno nie chcieli wsiąść do samochodu Międzynarodowego Czerwonego Krzyża (  MCK )  -  nie wiadomo ,  czy z  solidarności z  oblężonymi w  Baba Amru Syryjczykami ,  czy ze strachu .
Tokens: 1________ 2____ 3____ 4________ 5________ 6 7______ 8__ 9______ 10____ 11 12_______ 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] = Międzynarodowego Czerwonego Krzyża (confidence=1.00)
  TruePositive nam [17,17] = MCK (confidence=1.00)
  FalsePositive nam [29,31] = Baba Amru Syryjczykami (confidence=1.00)
  FalseNegative nam [29,30] = Baba Amru
  FalseNegative nam [31,31] = Syryjczykami

(ChunkerEvaluator) Sentence #881 from articles/00107654 from sent21

Text  : Wysoka komisarz ONZ ds . praw człowieka Navi Pillay we wtorek na nadzwyczajnym posiedzeniu Rady Praw Człowieka ONZ wezwała do natychmiastowego wstrzymania przemocy w  Syrii ,  gdzie sytuacja od początku lutego „  gwałtownie się pogorszyła ”  .
Tokens: 1_____ 2_______ 3__ 4_ 5 6___ 7________ 8___ 9_____ 10 11____ 12 13___________ 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 [8,9] = Navi Pillay (confidence=1.00)
  TruePositive nam [25,25] = Syrii (confidence=1.00)
  FalsePositive nam [3,3] = ONZ (confidence=0.74)
  FalsePositive nam [15,16] = Rady Praw (confidence=0.75)
  FalsePositive nam [18,18] = ONZ (confidence=1.00)
  FalseNegative nam [3,7] = ONZ ds . praw człowieka
  FalseNegative nam [15,18] = Rady Praw Człowieka ONZ

2016-11-04 12:06:37,463 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 47 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107655.xml
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(ChunkerEvaluator) Sentence #883 from articles/00107655 from sent1

Text  : Topa i Dziędziel w & quot ; Siedmiu dniach &  quot ;  -  nowym filmie Smarzowskiego
Tokens: 1___ 2 3________ 4 5 6___ 7 8______ 9_____ 10 11__ 12 13 14___ 15____ 16___________

Chunks:
  TruePositive nam [16,16] = Smarzowskiego (confidence=0.98)
  FalsePositive nam [1,3] = Topa i Dziędziel (confidence=0.81)
  FalseNegative nam [1,1] = Topa
  FalseNegative nam [3,3] = Dziędziel
  FalseNegative nam [8,9] = Siedmiu dniach

(ChunkerEvaluator) Sentence #884 from articles/00107655 from sent2

Text  : Bartłomiej Topa , Marian Dziędziel i Marcin Dorociński znaleźli się w  obsadzie nowego filmu Wojciecha Smarzowskiego ,  kryminału politycznego pod roboczym tytułem &  quot ;  Siedem dni &  quot ;  -  poinformowano w  komunikacie koproducenta tego filmu ,  Canal +  .
Tokens: 1_________ 2___ 3 4_____ 5________ 6 7_____ 8_________ 9_______ 10_ 11 12______ 13____ 14___ 15_______ 16___________ 17 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] = Bartłomiej Topa (confidence=1.00)
  TruePositive nam [4,5] = Marian Dziędziel (confidence=1.00)
  TruePositive nam [7,8] = Marcin Dorociński (confidence=1.00)
  TruePositive nam [15,16] = Wojciecha Smarzowskiego (confidence=1.00)
  FalsePositive nam [39,39] = Canal (confidence=0.97)
  FalseNegative nam [26,27] = Siedem dni
  FalseNegative nam [39,40] = Canal +

(ChunkerEvaluator) Sentence #885 from articles/00107655 from sent3

Text  : Zdjęcia do " Siedmiu dni " trwają od 18 lutego -  wyjaśniła Katarzyna Pietrzak z  Biura Public Relations CANAL +  .
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 [13,14] = Katarzyna Pietrzak (confidence=1.00)
  FalsePositive nam [16,19] = Biura Public Relations CANAL (confidence=0.99)
  FalseNegative nam [4,5] = Siedmiu dni
  FalseNegative nam [16,18] = Biura Public Relations
  FalseNegative nam [19,20] = CANAL +

(ChunkerEvaluator) Sentence #890 from articles/00107655 from sent8

Text  : Brukseli " .
Tokens: 1_______ 2 3

Chunks:
  FalseNegative nam [1,1] = Brukseli

(ChunkerEvaluator) Sentence #891 from articles/00107655 from sent9

Text  : Oprócz Topy , który w " Siedmiu dniach " gra główną rolę ,  oraz Dziędziela i  Dorocińskiego ,  w  filmie wystąpią m  .  in .  Julia Kijowska ,  Arkadiusz Jakubik ,  Robert Wabich ,  Eryk Lubos ,  Jacek Braciak i  Iza Kuna .
Tokens: 1_____ 2___ 3 4____ 5 6 7______ 8_____ 9 10_ 11____ 12__ 13 14__ 15________ 16 17___________ 18 19 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 [2,2] = Topy (confidence=0.74)
  TruePositive nam [26,27] = Julia Kijowska (confidence=1.00)
  TruePositive nam [29,30] = Arkadiusz Jakubik (confidence=1.00)
  TruePositive nam [32,33] = Robert Wabich (confidence=1.00)
  TruePositive nam [35,36] = Eryk Lubos (confidence=1.00)
  TruePositive nam [38,39] = Jacek Braciak (confidence=1.00)
  TruePositive nam [41,42] = Iza Kuna (confidence=1.00)
  FalsePositive nam [15,17] = Dziędziela i Dorocińskiego (confidence=0.99)
  FalseNegative nam [7,8] = Siedmiu dniach
  FalseNegative nam [15,15] = Dziędziela
  FalseNegative nam [17,17] = Dorocińskiego

2016-11-04 12:06:37,517 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 48 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107656.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107656.ini
2016-11-04 12:06:37,547 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 49 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107658.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107658.ini
(ChunkerEvaluator) Sentence #903 from articles/00107658 from sent2

Text  : Policjanci Wydziału ds . Wykroczeń i Postępowań Administracyjnych Komendy Miejskiej Policji w  Bydgoszczy prowadzą czynności wyjaśniające w  sprawie zdarzenia drogowego ,  do którego doszło w  Fordonie .
Tokens: 1_________ 2_______ 3_ 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] = Bydgoszczy (confidence=1.00)
  TruePositive nam [26,26] = Fordonie (confidence=0.99)
  FalsePositive nam [2,5] = Wydziału ds . Wykroczeń (confidence=0.89)
  FalsePositive nam [7,11] = Postępowań Administracyjnych Komendy Miejskiej Policji (confidence=0.81)
  FalseNegative nam [2,8] = Wydziału ds . Wykroczeń i Postępowań Administracyjnych
  FalseNegative nam [9,11] = Komendy Miejskiej Policji

(ChunkerEvaluator) Sentence #904 from articles/00107658 from sent3

Text  : Dnia 21 lub 22 lutego pomiędzy 21 : 00 a  7  :  15 w  Bydgoszczy na parkingu przy ulicy Wyzwolenia 102 nieustalony pojazd uszkodził zaparkowanego citroena C4 .
Tokens: 1___ 2_ 3__ 4_ 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] = Bydgoszczy (confidence=0.99)
  TruePositive nam [20,20] = Wyzwolenia (confidence=0.99)
  FalsePositive nam [27,27] = C4 (confidence=0.94)
  FalseNegative nam [26,27] = citroena C4

(ChunkerEvaluator) Sentence #906 from articles/00107658 from sent5

Text  : Świadków prosimy o kontakt osobisty lub telefoniczny z funkcjonariuszami Wydziału ds .  Wykroczeń i  Postępowań Administracyjnych KMP w  Bydgoszczy przy ulicy Iławskiej 24 ,  tel .  (  52 )  525 -  51 -  53 w  godz .  7  :  30 -  15 :  30 ,  tel .  (  52 )  525 -  51 -  59 całodobowo .
Tokens: 1_______ 2______ 3 4______ 5_______ 6__ 7___________ 8 9________________ 10______ 11 12 13_______ 14 15________ 16_______________ 17_ 18 19________ 20__ 21___ 22_______ 23 24 25_ 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 [19,19] = Bydgoszczy (confidence=1.00)
  TruePositive nam [22,22] = Iławskiej (confidence=0.86)
  FalsePositive nam [10,10] = Wydziału (confidence=0.96)
  FalsePositive nam [13,13] = Wykroczeń (confidence=0.50)
  FalsePositive nam [15,17] = Postępowań Administracyjnych KMP (confidence=0.84)
  FalseNegative nam [10,16] = Wydziału ds . Wykroczeń i Postępowań Administracyjnych
  FalseNegative nam [17,17] = KMP

2016-11-04 12:06:37,590 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 50 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107659.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107659.ini
2016-11-04 12:06:37,605 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 51 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107660.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107660.ini
(ChunkerEvaluator) Sentence #916 from articles/00107660 from sent3

Text  : W sobotę pokonał w Duesseldorfie Francuza Jeana - Marka Mormecka i  obronił tytuły mistrza świata :  WBA (  federacja przyznała mu status superczempiona )  ,  IBF ,  WBO i  mniej znaczący IBO .
Tokens: 1 2_____ 3______ 4 5____________ 6_______ 7____ 8 9____ 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] = WBA (confidence=0.90)
  TruePositive nam [26,26] = IBF (confidence=0.99)
  TruePositive nam [28,28] = WBO (confidence=0.91)
  TruePositive nam [32,32] = IBO (confidence=0.97)
  FalsePositive nam [5,7] = Duesseldorfie Francuza Jeana (confidence=1.00)
  FalsePositive nam [9,10] = Marka Mormecka (confidence=0.85)
  FalseNegative nam [5,5] = Duesseldorfie
  FalseNegative nam [6,6] = Francuza
  FalseNegative nam [7,10] = Jeana - Marka Mormecka
  FalseNegative nam [14,15] = mistrza świata
  FalseNegative nam [23,23] = superczempiona

(ChunkerEvaluator) Sentence #917 from articles/00107660 from sent4

Text  : Pas organizacji WBC należy do starszego brata Władimira - Witalija Kliczki ,  zaś WBA do Rosjanina Aleksandra Powietkina .
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] = WBC (confidence=1.00)
  TruePositive nam [14,14] = WBA (confidence=1.00)
  TruePositive nam [16,16] = Rosjanina (confidence=0.99)
  TruePositive nam [17,18] = Aleksandra Powietkina (confidence=0.98)
  FalsePositive nam [8,8] = Władimira (confidence=1.00)
  FalsePositive nam [10,11] = Witalija Kliczki (confidence=0.81)
  FalseNegative nam [8,11] = Władimira - Witalija Kliczki

2016-11-04 12:06:37,628 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 52 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107665.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107665.ini
(ChunkerEvaluator) Sentence #919 from articles/00107665 from sent2

Text  : 26 - letni kierowca renault wymusił pierwszeństwo na 51 -  latku prowadzącym volkswagena passata .
Tokens: 1_ 2 3____ 4_______ 5______ 6______ 7____________ 8_ 9_ 10 11___ 12_________ 13_________ 14_____ 15

Chunks:
  FalseNegative nam [5,5] = renault
  FalseNegative nam [13,13] = volkswagena
  FalseNegative nam [14,14] = passata

(ChunkerEvaluator) Sentence #920 from articles/00107665 from sent3

Text  : Vw zjechał na przeciwny pas , gdzie wjechał w niego land rover .
Tokens: 1_ 2______ 3_ 4________ 5__ 6 7____ 8______ 9 10___ 11__ 12___ 13

Chunks:
  FalseNegative nam [1,1] = Vw
  FalseNegative nam [11,12] = land rover

(ChunkerEvaluator) Sentence #922 from articles/00107665 from sent5

Text  : W wypadku ranni zostali kierowcy volkswagena i renault .
Tokens: 1 2______ 3____ 4______ 5_______ 6__________ 7 8______ 9

Chunks:
  FalseNegative nam [6,6] = volkswagena
  FalseNegative nam [8,8] = renault

2016-11-04 12:06:37,649 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 53 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107666.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107666.ini
2016-11-04 12:06:37,720 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 54 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107667.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107667.ini
(ChunkerEvaluator) Sentence #949 from articles/00107667 from sent7

Text  : Choć o sukcesach tych w środowisku wspinaczkowym mówi się od lat ,  to „  Ucieczka na szczyt ”  (  polskie wydanie książki „  Freedom climbers ”  niedawno trafiło do księgarń )  jest pierwszym tak obszernym przedstawieniem tego „  złotego okresu ”  przez autora znanego na całym 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_____________ 37__ 38 39_____ 40____ 41 42___ 43____ 44_____ 45 46___ 47_____ 48

Chunks:
  TruePositive nam [15,17] = Ucieczka na szczyt (confidence=0.99)
  TruePositive nam [24,25] = Freedom climbers (confidence=0.97)
  FalsePositive nam [39,40] = złotego okresu (confidence=0.50)

2016-11-04 12:06:37,812 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 55 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107670.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107670.ini
(ChunkerEvaluator) Sentence #962 from articles/00107670 from sent1

Text  : Empatia Kozłowskiego
Tokens: 1______ 2___________

Chunks:
  FalsePositive nam [1,2] = Empatia Kozłowskiego (confidence=0.90)
  FalseNegative nam [2,2] = Kozłowskiego

(ChunkerEvaluator) Sentence #964 from articles/00107670 from sent3

Text  : „ Empatia przewodniczącego Mao do narodu chińskiego i vice versa ”  to jedna z  najnowszych prac Jarosława Kozłowskiego ,  które zobaczymy na wystawie otwieranej w  piątek o  godz .  19 w  siedzibie Fundacji Profile (  ul .  Hoża 41 /  22 )  .
Tokens: 1 2______ 3_______________ 4__ 5_ 6_____ 7_________ 8 9___ 10___ 11 12 13___ 14 15_________ 16__ 17_______ 18__________ 19 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 [17,18] = Jarosława Kozłowskiego (confidence=1.00)
  TruePositive nam [33,34] = Fundacji Profile (confidence=1.00)
  TruePositive nam [38,38] = Hoża (confidence=1.00)
  FalsePositive nam [4,4] = Mao (confidence=1.00)
  FalseNegative nam [2,10] = Empatia przewodniczącego Mao do narodu chińskiego i vice versa

2016-11-04 12:06:37,838 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 56 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107672.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107672.ini
2016-11-04 12:06:37,869 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 57 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107675.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107675.ini
(ChunkerEvaluator) Sentence #976 from articles/00107675 from sent6

Text  : M.in . złapali na gorącym uczynku 212 podejrzanych , a  także 29 poszukiwanych przestępców ,  w  tym siedmiu nieletnich .
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] = M.in (confidence=0.94)

2016-11-04 12:06:37,887 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 58 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107676.xml
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(ChunkerEvaluator) Sentence #989 from articles/00107676 from sent13

Text  : W regionie natomiast bliżej końca są obwodnica Zambrowa i odcinek Białystok -  Jeżewo na krajowej „  ósemce ”  .
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] = Zambrowa (confidence=1.00)
  FalsePositive nam [11,13] = Białystok - Jeżewo (confidence=0.99)
  FalseNegative nam [11,11] = Białystok
  FalseNegative nam [13,13] = Jeżewo
  FalseNegative nam [15,18] = krajowej „ ósemce ”

(ChunkerEvaluator) Sentence #990 from articles/00107676 from sent14

Text  : Radio 5 z kolei informuje , że w Suwałkach przy Zespole Szkół nr 6  nie będą już organizowane wyścigi kartingowe .
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] = Suwałkach (confidence=1.00)
  TruePositive nam [11,14] = Zespole Szkół nr 6 (confidence=1.00)
  FalseNegative nam [1,2] = Radio 5

2016-11-04 12:06:37,941 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 59 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107679.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107679.ini
(ChunkerEvaluator) Sentence #995 from articles/00107679 from sent4

Text  : Żeby zdążyć na Euro , odpowiedzialność za wszystkie roboty w  rejonie Żyrardowa przejęła firma Bögl &  amp ;  Krýsl .
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] = Euro (confidence=1.00)
  TruePositive nam [12,12] = Żyrardowa (confidence=1.00)
  FalsePositive nam [15,15] = Bögl (confidence=0.98)
  FalsePositive nam [19,19] = Krýsl (confidence=0.73)
  FalseNegative nam [15,19] = Bögl & amp ; Krýsl

(ChunkerEvaluator) Sentence #998 from articles/00107679 from sent7

Text  : Żeby zdążyć na Euro , odpowiedzialność za wszystkie roboty w  rejonie Żyrardowa przejęła firma Bögl &  Krýsl .
Tokens: 1___ 2_____ 3_ 4___ 5 6_______________ 7_ 8________ 9_____ 10 11_____ 12_______ 13______ 14___ 15__ 16 17___ 18

Chunks:
  TruePositive nam [4,4] = Euro (confidence=1.00)
  TruePositive nam [12,12] = Żyrardowa (confidence=1.00)
  FalsePositive nam [15,15] = Bögl (confidence=1.00)
  FalsePositive nam [17,17] = Krýsl (confidence=0.50)
  FalseNegative nam [15,17] = Bögl & Krýsl

(ChunkerEvaluator) Sentence #999 from articles/00107679 from sent8

Text  : Ta czesko - niemiecka spółka od sierpnia buduje już 20 -  kilometrowy odcinek C  autostrady w  konsorcjum z  firmą Dolnośląskie Surowce Skalne .
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 [20,22] = Dolnośląskie Surowce Skalne (confidence=1.00)
  FalseNegative nam [13,14] = odcinek C

(ChunkerEvaluator) Sentence #1004 from articles/00107679 from sent13

Text  : Odcinek C to także najbardziej opóźniony fragment autostrady spośród wszystkich pięciu między Łodzią i  Warszawą .
Tokens: 1______ 2 3_ 4____ 5__________ 6________ 7_______ 8_________ 9______ 10________ 11____ 12____ 13____ 14 15______ 16

Chunks:
  TruePositive nam [13,13] = Łodzią (confidence=1.00)
  TruePositive nam [15,15] = Warszawą (confidence=0.99)
  FalseNegative nam [1,2] = Odcinek C

(ChunkerEvaluator) Sentence #1005 from articles/00107679 from sent14

Text  : Generalna Dyrekcja Dróg i Autostrad zdecydowała więc , że odpowiedzialność za cały kontrakt przejmie teraz Bögl &  Krýsl ,  który swoją część robót ,  m  .  in .  budowę betonowych wiaduktów ,  wykonywał w  terminie .
Tokens: 1________ 2_______ 3___ 4 5________ 6__________ 7___ 8 9_ 10______________ 11 12__ 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 [2,5] = Dyrekcja Dróg i Autostrad (confidence=0.85)
  FalsePositive nam [16,16] = Bögl (confidence=0.98)
  FalsePositive nam [18,18] = Krýsl (confidence=0.90)
  FalseNegative nam [1,5] = Generalna Dyrekcja Dróg i Autostrad
  FalseNegative nam [16,18] = Bögl & Krýsl

2016-11-04 12:06:38,012 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 60 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107682.xml
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(ChunkerEvaluator) Sentence #1009 from articles/00107682 from sent1

Text  : & quot ; Gazeta Polska codziennie & quot ; :  Setki sędziów pozwało skarb państwa
Tokens: 1 2___ 3 4_____ 5_____ 6_________ 7 8___ 9 10 11___ 12_____ 13_____ 14___ 15_____

Chunks:
  FalsePositive nam [4,5] = Gazeta Polska (confidence=0.99)
  FalseNegative nam [4,6] = Gazeta Polska codziennie

(ChunkerEvaluator) Sentence #1010 from articles/00107682 from sent2

Text  : Polscy sędziowie składają pozwy do sądów pracy przeciwko skarbowi państwa ,  protestując przeciwko zamrożeniu waloryzacji ich pensji -  informuje &  quot ;  Gazeta Polska codziennie &  quot ;  .
Tokens: 1_____ 2________ 3_______ 4____ 5_ 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 [23,24] = Gazeta Polska (confidence=0.99)
  FalseNegative nam [23,25] = Gazeta Polska codziennie

(ChunkerEvaluator) Sentence #1014 from articles/00107682 from sent6

Text  : Akcja dopiero się rozwija - czytamy w " Gazecie Polskiej codziennie "  .
Tokens: 1____ 2______ 3__ 4______ 5 6______ 7 8 9______ 10______ 11________ 12 13

Chunks:
  FalsePositive nam [9,10] = Gazecie Polskiej (confidence=0.94)
  FalseNegative nam [9,11] = Gazecie Polskiej codziennie

2016-11-04 12:06:38,048 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 61 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107683.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107683.ini
(ChunkerEvaluator) Sentence #1018 from articles/00107683 from sent3

Text  : Tylko do 31 marca można zapisywać się do XII edycji turnieju „  Z  podwórka na stadion o  Puchar Tymbarku ”  .
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 [9,9] = XII (confidence=0.51)
  FalsePositive nam [18,19] = Puchar Tymbarku (confidence=0.96)
  FalseNegative nam [13,19] = Z podwórka na stadion o Puchar Tymbarku

(ChunkerEvaluator) Sentence #1023 from articles/00107683 from sent8

Text  : W ubiegłorocznej edycji wzięło udział ponad 85 tys . dzieci z  całej Polski ,  co oznacza ,  że już co piąty dziesięciolatek walczył o  tytuł mistrzów U  -  10 .
Tokens: 1 2_____________ 3_____ 4_____ 5_____ 6____ 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] = Polski (confidence=1.00)
  FalsePositive nam [27,29] = U - 10 (confidence=0.95)

(ChunkerEvaluator) Sentence #1027 from articles/00107683 from sent12

Text  : Dariusz Czech , prezes firmy Tymbark : - Zawsze ,  kiedy próbuję spojrzeć na turniej „  Z  podwórka na stadion o  Puchar Tymbarku ”  oczyma dziecka ,  widzę emocjonujące rozgrywki ,  w  których spełniają się małe i  duże marzenia .
Tokens: 1______ 2____ 3 4_____ 5____ 6______ 7 8 9_____ 10 11___ 12_____ 13______ 14 15_____ 16 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 [1,2] = Dariusz Czech (confidence=0.99)
  TruePositive nam [6,6] = Tymbark (confidence=1.00)
  FalsePositive nam [22,23] = Puchar Tymbarku (confidence=0.97)
  FalseNegative nam [17,23] = Z podwórka na stadion o Puchar Tymbarku

(ChunkerEvaluator) Sentence #1028 from articles/00107683 from sent13

Text  : Zapisy i szczegóły i dotyczące turnieju „ Z podwórka na stadion o  Puchar Tymbarku ”  na stronie www.zpodworkanastadion.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] = www.zpodworkanastadion.pl (confidence=0.85)
  FalsePositive nam [13,14] = Puchar Tymbarku (confidence=0.97)
  FalseNegative nam [8,14] = Z podwórka na stadion o Puchar Tymbarku

2016-11-04 12:06:38,115 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 62 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107686.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107686.ini
(ChunkerEvaluator) Sentence #1047 from articles/00107686 from sent19

Text  : Kowalski mówił , że niezadowoleni turyści próbowali załatwić sprawę polubownie ,  ale właściciel biura nie zgodził się na wysokość roszczeń .
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 [1,1] = Kowalski

(ChunkerEvaluator) Sentence #1054 from articles/00107686 from sent26

Text  : Za 13 - dniowy wypoczynek zapłacili po 499 euro .
Tokens: 1_ 2_ 3 4_____ 5_________ 6________ 7_ 8__ 9___ 10

Chunks:
  FalseNegative nam [9,9] = euro

(ChunkerEvaluator) Sentence #1055 from articles/00107686 from sent27

Text  : Pełnomocniczka Kowalskiego , radca prawny Barbara Sosna , nie wykluczyła ,  że do pozwu dołączą kolejne osoby ,  niezadowolone z  wakacji na Krymie .
Tokens: 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] = Barbara Sosna (confidence=1.00)
  TruePositive nam [23,23] = Krymie (confidence=1.00)
  FalsePositive nam [1,2] = Pełnomocniczka Kowalskiego (confidence=0.96)
  FalseNegative nam [2,2] = Kowalskiego

2016-11-04 12:06:38,220 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 63 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107688.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107688.ini
2016-11-04 12:06:38,265 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 64 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107692.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107692.ini
(ChunkerEvaluator) Sentence #1068 from articles/00107692 from sent1

Text  : MF : zapadalność zadłużenia krajowego w 2012 r . wynosi 94 ,  781 mld zł
Tokens: 1_ 2 3__________ 4_________ 5________ 6 7___ 8 9 10____ 11 12 13_ 14_ 15

Chunks:
  TruePositive nam [15,15] = zł (confidence=1.00)
  FalseNegative nam [1,1] = MF

2016-11-04 12:06:38,287 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 65 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107694.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107694.ini
(ChunkerEvaluator) Sentence #1071 from articles/00107694 from sent1

Text  : Rozdano nagrody laureatom konkursu & quot ; Seniorzy w akcji &  quot ;
Tokens: 1______ 2______ 3________ 4_______ 5 6___ 7 8_______ 9 10___ 11 12__ 13

Chunks:
  FalseNegative nam [8,10] = Seniorzy w akcji

(ChunkerEvaluator) Sentence #1072 from articles/00107694 from sent2

Text  : Dyplomami i statuetkami nagrodzono w poniedziałek wolontariuszy i aktywnych na rzecz społeczności lokalnych seniorów -  laureatów konkursu &  quot ;  Seniorzy w  akcji &  quot ;  .
Tokens: 1________ 2 3__________ 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 [21,23] = Seniorzy w akcji

(ChunkerEvaluator) Sentence #1074 from articles/00107694 from sent4

Text  : Ogólnopolski konkurs przeprowadziło Towarzystwo Inicjatyw Twórczych " ę " w  ramach programu "  Uniwersytety Trzeciego wieku "  Polsko -  Amerykańskiej Fundacji 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

Chunks:
  TruePositive nam [18,22] = Polsko - Amerykańskiej Fundacji Wolności (confidence=1.00)
  FalsePositive nam [4,6] = Towarzystwo Inicjatyw Twórczych (confidence=1.00)
  FalseNegative nam [4,9] = Towarzystwo Inicjatyw Twórczych " ę "
  FalseNegative nam [14,16] = Uniwersytety Trzeciego wieku

(ChunkerEvaluator) Sentence #1075 from articles/00107694 from sent5

Text  : Konkurs odbywał się w dwóch kategoriach : Dobra praktyka UTW -  za obecnie realizowany lub zrealizowany w  ciągu ostatnich trzech lat projekt uniwersytetów trzeciego wieku na rzecz społeczności lokalnej (  np .  wolontariat seniorów ,  współpraca międzypokoleniowa ,  projekty obywatelskie )  i  Wolontariusz UTW -  za działania słuchaczy UTW powyżej 50 .  roku życia na rzecz wspólnoty lokalnej lub ciekawą formę współpracy osób młodych z  UTW .
Tokens: 1______ 2______ 3__ 4 5____ 6__________ 7 8____ 9_______ 10_ 11 12 13_____ 14_________ 15_ 16__________ 17 18___ 19_______ 20____ 21_ 22_____ 23___________ 24_______ 25___ 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 [10,10] = UTW (confidence=0.96)
  TruePositive nam [49,49] = UTW (confidence=0.97)
  TruePositive nam [66,66] = UTW (confidence=1.00)
  FalsePositive nam [43,44] = Wolontariusz UTW (confidence=0.97)
  FalseNegative nam [44,44] = UTW

(ChunkerEvaluator) Sentence #1077 from articles/00107694 from sent7

Text  : Laureatami w kategorii Wolontariusz UTW zostali : Józef Żuchowski -  wspierający wychowanków z  domu dziecka w  Stargardzie Szczecińskim ,  Wanda Drozd -  koordynatorka wolontariatu UTW w  Słupsku ,  Elżbieta Iwanicka z  Wielopokoleniowego Klubu Wolontariusza w  Lublinie i  wolontariuszka UTW w  Toruniu Agata Grzecznowska .
Tokens: 1_________ 2 3________ 4___________ 5__ 6______ 7 8____ 9________ 10 11_________ 12_________ 13 14__ 15_____ 16 17_________ 18__________ 19 20___ 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] = UTW (confidence=0.85)
  TruePositive nam [8,9] = Józef Żuchowski (confidence=1.00)
  TruePositive nam [17,18] = Stargardzie Szczecińskim (confidence=1.00)
  TruePositive nam [20,21] = Wanda Drozd (confidence=1.00)
  TruePositive nam [25,25] = UTW (confidence=1.00)
  TruePositive nam [27,27] = Słupsku (confidence=1.00)
  TruePositive nam [29,30] = Elżbieta Iwanicka (confidence=1.00)
  TruePositive nam [32,34] = Wielopokoleniowego Klubu Wolontariusza (confidence=0.99)
  TruePositive nam [36,36] = Lublinie (confidence=1.00)
  TruePositive nam [39,39] = UTW (confidence=1.00)
  TruePositive nam [41,41] = Toruniu (confidence=1.00)
  TruePositive nam [42,43] = Agata Grzecznowska (confidence=0.99)
  FalsePositive nam [4,4] = Wolontariusz (confidence=0.98)

(ChunkerEvaluator) Sentence #1078 from articles/00107694 from sent8

Text  : Jury nagrodziło także - w kategorii Dobra Praktyka UTW -  akcję "  Żyj Kolorowo "  Usteckiego Uniwersytetu Trzeciego Wieku ,  polegającą m  .  in .  na organizowaniu zajęć dla przedszkolaków ,  Uniwersytet Trzeciego Wieku w  Łazach -  inicjatora Ogólnopolskiej Olimpiady Sportowej "  Trzeci wiek na start "  ,  UTW na Uniwersytecie Wrocławskim za kompleksową promocję wolontariatu wśród seniorów i  działalność wrocławskiego Zespołu Łączenia Pokoleń oraz filię lubelskiego UTW w  Radzyniu Podlaskim za produkcję filmu ze wspomnieniami najstarszych mieszkańców 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_______ 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

Chunks:
  TruePositive nam [13,14] = Żyj Kolorowo (confidence=0.95)
  TruePositive nam [16,19] = Usteckiego Uniwersytetu Trzeciego Wieku (confidence=0.50)
  TruePositive nam [32,34] = Uniwersytet Trzeciego Wieku (confidence=1.00)
  TruePositive nam [36,36] = Łazach (confidence=1.00)
  TruePositive nam [39,41] = Ogólnopolskiej Olimpiady Sportowej (confidence=1.00)
  TruePositive nam [49,49] = UTW (confidence=1.00)
  TruePositive nam [51,52] = Uniwersytecie Wrocławskim (confidence=1.00)
  TruePositive nam [62,64] = Zespołu Łączenia Pokoleń (confidence=1.00)
  TruePositive nam [68,68] = UTW (confidence=1.00)
  TruePositive nam [70,71] = Radzyniu Podlaskim (confidence=1.00)
  FalsePositive nam [7,9] = Dobra Praktyka UTW (confidence=1.00)
  FalseNegative nam [9,9] = UTW
  FalseNegative nam [43,46] = Trzeci wiek na start

(ChunkerEvaluator) Sentence #1079 from articles/00107694 from sent9

Text  : Nagrodę publiczności , przyznawaną przez internautów w ramach kategorii Dobra praktyka UTW ,  zdobyli słuchacze Uniwersytetu Trzeciego Wieku w  Międzychodzie ,  którzy razem z  przedszkolakami dbają o  zieleń miejską -  m  .  in .  zaprojektowali i  wykonali miejski klomb kwiatowy .
Tokens: 1______ 2___________ 3 4__________ 5____ 6__________ 7 8_____ 9________ 10___ 11______ 12_ 13 14_____ 15_______ 16__________ 17_______ 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 [12,12] = UTW (confidence=1.00)
  TruePositive nam [16,18] = Uniwersytetu Trzeciego Wieku (confidence=1.00)
  TruePositive nam [20,20] = Międzychodzie (confidence=1.00)
  FalsePositive nam [10,10] = Dobra (confidence=0.71)

(ChunkerEvaluator) Sentence #1080 from articles/00107694 from sent10

Text  : Dyplomy i statuetki wręczyli laureatom Jacek Michałowski i szef Polsko -  Amerykańskiej Fundacji Wolności Jerzy Koźmiński podczas Kongresu Uniwersytetów Trzeciego Wieku ,  odbywającego się pod hasłem :  "  Innowacyjne uniwersytety trzeciego wieku dla społeczeństwa obywatelskiego i  gospodarki "  .
Tokens: 1______ 2 3________ 4_______ 5________ 6____ 7__________ 8 9___ 10____ 11 12___________ 13______ 14______ 15___ 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] = Jacek Michałowski (confidence=1.00)
  TruePositive nam [10,14] = Polsko - Amerykańskiej Fundacji Wolności (confidence=1.00)
  TruePositive nam [15,16] = Jerzy Koźmiński (confidence=0.98)
  TruePositive nam [18,21] = Kongresu Uniwersytetów Trzeciego Wieku (confidence=1.00)
  FalseNegative nam [29,37] = Innowacyjne uniwersytety trzeciego wieku dla społeczeństwa obywatelskiego i gospodarki

(ChunkerEvaluator) Sentence #1081 from articles/00107694 from sent11

Text  : W Kongresie wzięło udział blisko trzy tysiące osób związanych z  ruchem UTW .
Tokens: 1 2________ 3_____ 4_____ 5_____ 6___ 7______ 8___ 9_________ 10 11____ 12_ 13

Chunks:
  TruePositive nam [12,12] = UTW (confidence=0.97)
  FalsePositive nam [2,2] = Kongresie (confidence=0.96)

(ChunkerEvaluator) Sentence #1083 from articles/00107694 from sent13

Text  : Rok 2012 ustanowiony został przez Senat Rokiem Uniwersytetów Trzeciego Wieku ,  a  przez Radę UE -  Europejskim Roku Aktywności Osób Starszych i  Solidarności Międzypokoleniowej .
Tokens: 1__ 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] = Radę UE (confidence=1.00)
  FalsePositive nam [6,10] = Senat Rokiem Uniwersytetów Trzeciego Wieku (confidence=1.00)
  FalsePositive nam [17,21] = Europejskim Roku Aktywności Osób Starszych (confidence=0.97)
  FalsePositive nam [23,24] = Solidarności Międzypokoleniowej (confidence=0.89)
  FalseNegative nam [6,6] = Senat
  FalseNegative nam [7,10] = Rokiem Uniwersytetów Trzeciego Wieku
  FalseNegative nam [17,24] = Europejskim Roku Aktywności Osób Starszych i Solidarności Międzypokoleniowej

(ChunkerEvaluator) Sentence #1085 from articles/00107694 from sent15

Text  : Obecnie w Polsce działa 385 uniwersytetów trzeciego wieku , skupiają one ponad 100 tys .  słuchaczy .
Tokens: 1______ 2 3_____ 4_____ 5__ 6____________ 7________ 8____ 9 10______ 11_ 12___ 13_ 14_ 15 16_______ 17

Chunks:
  FalsePositive nam [3,3] = Polsce (confidence=1.00)

2016-11-04 12:06:38,456 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 66 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107699.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107699.ini
2016-11-04 12:06:38,496 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 67 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107701.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107701.ini
(ChunkerEvaluator) Sentence #1104 from articles/00107701 from sent1

Text  : The Sun : Abramowicz oferuje Guardioli 40 milionów funtów
Tokens: 1__ 2__ 3 4_________ 5______ 6________ 7_ 8_______ 9_____

Chunks:
  TruePositive nam [1,2] = The Sun (confidence=1.00)
  TruePositive nam [4,4] = Abramowicz (confidence=0.99)
  TruePositive nam [6,6] = Guardioli (confidence=0.88)
  FalseNegative nam [9,9] = funtów

(ChunkerEvaluator) Sentence #1105 from articles/00107701 from sent2

Text  : Właściciel Chelsea Londyn Rosjanin Roman Abramowicz zaproponował trenerowi Josepowi Guardioli 40 milionów funtów (  ok .  200 mln zł )  za czteroletni kontrakt -  podała gazeta &  quot ;  The Sun &  quot ;  .
Tokens: 1_________ 2______ 3_____ 4_______ 5____ 6_________ 7___________ 8________ 9_______ 10_______ 11 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] = Chelsea Londyn (confidence=0.97)
  TruePositive nam [4,4] = Rosjanin (confidence=0.70)
  TruePositive nam [5,6] = Roman Abramowicz (confidence=0.99)
  TruePositive nam [9,10] = Josepowi Guardioli (confidence=1.00)
  TruePositive nam [19,19] = zł (confidence=1.00)
  TruePositive nam [30,31] = The Sun (confidence=0.99)
  FalseNegative nam [13,13] = funtów

(ChunkerEvaluator) Sentence #1106 from articles/00107701 from sent3

Text  : Hiszpanowi w czerwcu wygasa umowa z Barceloną .
Tokens: 1_________ 2 3______ 4_____ 5____ 6 7________ 8

Chunks:
  TruePositive nam [7,7] = Barceloną (confidence=1.00)
  FalseNegative nam [1,1] = Hiszpanowi

(ChunkerEvaluator) Sentence #1115 from articles/00107701 from sent12

Text  : W tabeli Premier League zajmuje piąte miejsce , a do prowadzących drużyn z  Manchesteru -  City i  United traci 20 punktów .
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] = Premier League (confidence=1.00)
  TruePositive nam [18,18] = United (confidence=0.64)
  FalsePositive nam [14,14] = Manchesteru (confidence=1.00)
  FalseNegative nam [14,16] = Manchesteru - City

2016-11-04 12:06:38,556 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 68 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107703.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107703.ini
(ChunkerEvaluator) Sentence #1120 from articles/00107703 from sent3

Text  : - Korona wygrała w pełni zasłużenie , była lepsza -  przyznał trener Jacek Zieliński .
Tokens: 1 2_____ 3______ 4 5____ 6_________ 7 8___ 9_____ 10 11______ 12____ 13___ 14_______ 15

Chunks:
  TruePositive nam [13,14] = Jacek Zieliński (confidence=1.00)
  FalseNegative nam [2,2] = Korona

(ChunkerEvaluator) Sentence #1122 from articles/00107703 from sent5

Text  : Najlepsi w rundzie wiosennej kielczanie ( 16 punktów w sześciu meczach i  już tylko trzy oczka straty do lidera -  Legii Warszawa )  potrzebowali ledwie kwadransa drugiej połowy ,  by rozmontować obronę jednego z  kandydatów do mistrzostwa 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_________ 38____ 39

Chunks:
  TruePositive nam [21,22] = Legii Warszawa (confidence=0.99)
  FalsePositive nam [38,38] = Polski (confidence=1.00)
  FalseNegative nam [5,5] = kielczanie
  FalseNegative nam [37,38] = mistrzostwa Polski

(ChunkerEvaluator) Sentence #1124 from articles/00107703 from sent7

Text  : Ten pierwszy razem z pomocnikiem Pawłem Sobolewskim trafił nawet do jedenastki 23 .  kolejki stacji Canal +  .
Tokens: 1__ 2_______ 3____ 4 5__________ 6_____ 7__________ 8_____ 9____ 10 11________ 12 13 14_____ 15____ 16___ 17 18

Chunks:
  TruePositive nam [6,7] = Pawłem Sobolewskim (confidence=1.00)
  FalsePositive nam [16,16] = Canal (confidence=0.98)
  FalseNegative nam [16,17] = Canal +

2016-11-04 12:06:38,643 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 69 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107704.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107704.ini
(ChunkerEvaluator) Sentence #1142 from articles/00107704 from sent1

Text  : Wielkopolskie .
Tokens: 1____________ 2

Chunks:
  FalseNegative nam [1,1] = Wielkopolskie

(ChunkerEvaluator) Sentence #1144 from articles/00107704 from sent3

Text  : Gród Piastów na Zawodziu z okresu IX - XII wieku w  Kaliszu oraz miejscowe Muzeum Okręgowe zostały wpisane na wielkopolską mapę Szlaku Piastowskiego .
Tokens: 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] = Zawodziu (confidence=0.68)
  TruePositive nam [12,12] = Kaliszu (confidence=1.00)
  TruePositive nam [15,16] = Muzeum Okręgowe (confidence=0.99)
  TruePositive nam [22,23] = Szlaku Piastowskiego (confidence=1.00)
  FalsePositive nam [2,2] = Piastów (confidence=0.83)
  FalsePositive nam [7,7] = IX (confidence=0.99)
  FalseNegative nam [1,2] = Gród Piastów

(ChunkerEvaluator) Sentence #1146 from articles/00107704 from sent5

Text  : Jak poinformował PAP dyrektor kaliskiego muzeum Jerzy Splitt , dzięki pracom zespołu naukowego ,  powołanego przez marszałków województw wielkopolskiego i  kujawsko -  pomorskiego ,  zweryfikowano znajdujące się dotychczas na Szlaku miejscowości i  pousuwano te ,  które się z  nim bezpośrednio nie wiązały .
Tokens: 1__ 2___________ 3__ 4_______ 5_________ 6_____ 7____ 8_____ 9 10____ 11____ 12_____ 13_______ 14 15________ 16___ 17________ 18________ 19_____________ 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 [3,3] = PAP (confidence=0.97)
  TruePositive nam [7,8] = Jerzy Splitt (confidence=1.00)
  TruePositive nam [19,19] = wielkopolskiego (confidence=0.62)
  TruePositive nam [30,30] = Szlaku (confidence=0.90)
  FalseNegative nam [21,23] = kujawsko - pomorskiego

(ChunkerEvaluator) Sentence #1149 from articles/00107704 from sent8

Text  : Podał , że przedłużono Szlak już istniejący od Lubinia przez Poznań ,  Gniezno do Włocławka i  wprowadzono drugi fragment szlaku od Klasztoru Cystersów w  Łeknie przez Gniezno ,  Konin i  Ląd nad Wartą do Kalisza .
Tokens: 1____ 2 3_ 4__________ 5____ 6__ 7_________ 8_ 9______ 10___ 11____ 12 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] = Szlak (confidence=1.00)
  TruePositive nam [9,9] = Lubinia (confidence=1.00)
  TruePositive nam [11,11] = Poznań (confidence=1.00)
  TruePositive nam [13,13] = Gniezno (confidence=1.00)
  TruePositive nam [15,15] = Włocławka (confidence=1.00)
  TruePositive nam [22,23] = Klasztoru Cystersów (confidence=1.00)
  TruePositive nam [25,25] = Łeknie (confidence=1.00)
  TruePositive nam [27,27] = Gniezno (confidence=1.00)
  TruePositive nam [29,29] = Konin (confidence=0.99)
  TruePositive nam [35,35] = Kalisza (confidence=0.99)
  FalsePositive nam [31,31] = Ląd (confidence=1.00)
  FalsePositive nam [33,33] = Wartą (confidence=0.85)
  FalseNegative nam [31,33] = Ląd nad Wartą

(ChunkerEvaluator) Sentence #1151 from articles/00107704 from sent10

Text  : Grodzisko na Zawodziu pochodzi z okresu IX - XII wieku .
Tokens: 1________ 2_ 3_______ 4_______ 5 6_____ 7_ 8 9__ 10___ 11

Chunks:
  TruePositive nam [3,3] = Zawodziu (confidence=0.61)
  FalsePositive nam [7,7] = IX (confidence=0.99)
  FalseNegative nam [1,1] = Grodzisko

(ChunkerEvaluator) Sentence #1154 from articles/00107704 from sent13

Text  : Od IX do XIII wieku , na Zawodziu znajdowało się silnie ufortyfikowane centrum wczesnośredniowiecznego państwa .
Tokens: 1_ 2_ 3_ 4___ 5____ 6 7_ 8_______ 9_________ 10_ 11____ 12____________ 13_____ 14_____________________ 15_____ 16

Chunks:
  TruePositive nam [8,8] = Zawodziu (confidence=0.97)
  FalsePositive nam [2,2] = IX (confidence=0.92)

(ChunkerEvaluator) Sentence #1161 from articles/00107704 from sent20

Text  : Od 1958 r . znajduje się w nim skarb ze Słuszkowa ,  na który składa się m  .  in .  najliczniejszy w  kraju zbiór denarów Sieciecha .
Tokens: 1_ 2___ 3 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] = Słuszkowa (confidence=1.00)
  TruePositive nam [26,26] = Sieciecha (confidence=0.98)
  FalseNegative nam [25,25] = denarów

(ChunkerEvaluator) Sentence #1162 from articles/00107704 from sent21

Text  : Liczne zbiory można oglądać w oddziałach muzeum : w Centrum Rysunku i  Grafiki im .  Tadeusza Kulisiewicza ,  w  Muzeum Wnętrz Pałacowych w  Lewkowie i  w  Dworku Marii Dąbrowskiej w  Russowie .
Tokens: 1_____ 2_____ 3____ 4______ 5 6_________ 7_____ 8 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 [10,17] = Centrum Rysunku i Grafiki im . Tadeusza Kulisiewicza (confidence=1.00)
  TruePositive nam [27,29] = Dworku Marii Dąbrowskiej (confidence=1.00)
  TruePositive nam [31,31] = Russowie (confidence=1.00)
  FalsePositive nam [20,22] = Muzeum Wnętrz Pałacowych (confidence=1.00)
  FalsePositive nam [24,24] = Lewkowie (confidence=1.00)
  FalseNegative nam [20,24] = Muzeum Wnętrz Pałacowych w Lewkowie

2016-11-04 12:06:38,755 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 70 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107705.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107705.ini
(ChunkerEvaluator) Sentence #1168 from articles/00107705 from sent5

Text  : Dodał , że zaangażowanie przez rząd Millera Polski do walki z  terroryzmem u  boku USA oznaczało „  zaproszenie terrorystów do 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

Chunks:
  TruePositive nam [15,15] = USA (confidence=1.00)
  TruePositive nam [21,21] = Polski (confidence=1.00)
  FalsePositive nam [7,8] = Millera Polski (confidence=1.00)
  FalseNegative nam [7,7] = Millera
  FalseNegative nam [8,8] = Polski

2016-11-04 12:06:38,788 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 71 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107706.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107706.ini
(ChunkerEvaluator) Sentence #1170 from articles/00107706 from sent1

Text  : Bitwa o Rzeszów - freestyle'owcy biją się na słowa
Tokens: 1____ 2 3______ 4 5_____________ 6___ 7__ 8_ 9____

Chunks:
  FalsePositive nam [3,3] = Rzeszów (confidence=0.98)
  FalseNegative nam [1,3] = Bitwa o Rzeszów

(ChunkerEvaluator) Sentence #1171 from articles/00107706 from sent2

Text  : W piątek w klubie Blue Moon w Rzeszowie ośmiu zawodników stoczy walkę na słowa do odtwarzanego przez DJ-a podkładu .
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] = Blue Moon (confidence=1.00)
  TruePositive nam [8,8] = Rzeszowie (confidence=1.00)
  FalsePositive nam [18,18] = DJ-a (confidence=0.97)

(ChunkerEvaluator) Sentence #1176 from articles/00107706 from sent7

Text  : Główny sponsor to urząd marszałkowski .
Tokens: 1_____ 2______ 3_ 4____ 5____________ 6

Chunks:
  FalseNegative nam [4,5] = urząd marszałkowski

(ChunkerEvaluator) Sentence #1179 from articles/00107706 from sent10

Text  : - Przekonali śmy UM , że takie wydarzenie to nowość -  mówi przewodnicząca ZSP Iwona Strzępka .
Tokens: 1 2_________ 3__ 4_ 5 6_ 7____ 8_________ 9_ 10____ 11 12__ 13____________ 14_ 15___ 16______ 17

Chunks:
  TruePositive nam [4,4] = UM (confidence=0.60)
  FalsePositive nam [14,16] = ZSP Iwona Strzępka (confidence=1.00)
  FalseNegative nam [14,14] = ZSP
  FalseNegative nam [15,16] = Iwona Strzępka

(ChunkerEvaluator) Sentence #1180 from articles/00107706 from sent11

Text  : - Podkarpacie cierpiało , ponieważ długo nie było obecne na freestyle'owej mapie Polski .
Tokens: 1 2__________ 3________ 4 5_______ 6____ 7__ 8___ 9_____ 10 11____________ 12___ 13____ 14

Chunks:
  TruePositive nam [13,13] = Polski (confidence=1.00)
  FalseNegative nam [2,2] = Podkarpacie

(ChunkerEvaluator) Sentence #1186 from articles/00107706 from sent17

Text  : Organizatorzy reklamują turniej jako „ Pierwszą Bitwę Freestyle na Podkarpaciu ”  ,  jednak z  informacji „  Gazety "  wynika ,  że podobne wydarzenie miało miejsce w  2005 roku w  legendarnym klubie Akademia .
Tokens: 1____________ 2________ 3______ 4___ 5 6_______ 7____ 8________ 9_ 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] = Gazety (confidence=1.00)
  TruePositive nam [32,32] = Akademia (confidence=1.00)
  FalsePositive nam [6,10] = Pierwszą Bitwę Freestyle na Podkarpaciu (confidence=1.00)
  FalseNegative nam [10,10] = Podkarpaciu

(ChunkerEvaluator) Sentence #1188 from articles/00107706 from sent19

Text  : Przy okazji koncertu promującego płytę Kodex 2 oraz trzecich urodzin ekipy Art De Rue .
Tokens: 1___ 2_____ 3_______ 4__________ 5____ 6____ 7 8___ 9_______ 10_____ 11___ 12_ 13 14_ 15

Chunks:
  TruePositive nam [12,14] = Art De Rue (confidence=1.00)
  FalsePositive nam [6,6] = Kodex (confidence=0.99)
  FalseNegative nam [6,7] = Kodex 2

(ChunkerEvaluator) Sentence #1192 from articles/00107706 from sent23

Text  : Początek Bitwy o Rzeszów planowany jest na godzinę 19 .
Tokens: 1_______ 2____ 3 4______ 5________ 6___ 7_ 8______ 9_ 10

Chunks:
  FalsePositive nam [1,2] = Początek Bitwy (confidence=0.79)
  FalsePositive nam [4,4] = Rzeszów (confidence=0.98)
  FalseNegative nam [2,4] = Bitwy o Rzeszów

2016-11-04 12:06:38,886 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 72 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107707.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107707.ini
(ChunkerEvaluator) Sentence #1197 from articles/00107707 from sent4

Text  : Urodzony w Agierii Hicheur został zatrzymany w 2008 roku .
Tokens: 1_______ 2 3______ 4______ 5_____ 6_________ 7 8___ 9___ 10

Chunks:
  FalsePositive nam [3,4] = Agierii Hicheur (confidence=1.00)
  FalseNegative nam [3,3] = Agierii
  FalseNegative nam [4,4] = Hicheur

(ChunkerEvaluator) Sentence #1201 from articles/00107707 from sent8

Text  : W 2009 roku Hicheur napisał szereg e - maili ,  w  których wskazywał na konieczność ukarania Zachodu za antymuzułmańskie ,  jego zdaniem ,  wojny w  Iraku i  Afganistanie .
Tokens: 1 2___ 3___ 4______ 5______ 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] = Hicheur (confidence=0.99)
  TruePositive nam [26,26] = Iraku (confidence=1.00)
  TruePositive nam [28,28] = Afganistanie (confidence=1.00)
  FalsePositive nam [17,17] = Zachodu (confidence=0.89)

(ChunkerEvaluator) Sentence #1214 from articles/00107707 from sent21

Text  : Chodzi o ludzi młodych , wyznających islam , wykształconych ,  biegłych w  internecie ,  a  przy tym oburzonych na Zachód i  zradykalizowanych .
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 [20,20] = Zachód (confidence=1.00)

(ChunkerEvaluator) Sentence #1216 from articles/00107707 from sent23

Text  : Dżihadysta Mohamed Merah , także Algierczyk , zabił w zamachach trzech żołnierzy oraz dzieci i  nauczyciela przed szkołą żydowską .
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] = Mohamed Merah (confidence=0.75)
  TruePositive nam [6,6] = Algierczyk (confidence=1.00)
  FalsePositive nam [1,1] = Dżihadysta (confidence=0.94)

2016-11-04 12:06:38,991 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 73 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107712.xml
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(ChunkerEvaluator) Sentence #1217 from articles/00107712 from sent1

Text  : Babskie miasto Makoffskiej : Sroka na prezydentkę
Tokens: 1______ 2_____ 3__________ 4 5____ 6_ 7__________

Chunks:
  TruePositive nam [3,3] = Makoffskiej (confidence=0.99)
  FalsePositive nam [5,5] = Sroka (confidence=0.63)

(ChunkerEvaluator) Sentence #1222 from articles/00107712 from sent6

Text  : Na Ziemię Lubuską przyleciały bociany , a niedawno ulicami Zielonej Góry przeszedł Marsz dla Życia .
Tokens: 1_ 2_____ 3______ 4__________ 5______ 6 7 8_______ 9______ 10______ 11__ 12_______ 13___ 14_ 15___ 16

Chunks:
  TruePositive nam [2,3] = Ziemię Lubuską (confidence=1.00)
  TruePositive nam [10,11] = Zielonej Góry (confidence=1.00)
  FalsePositive nam [13,13] = Marsz (confidence=0.95)
  FalsePositive nam [15,15] = Życia (confidence=0.55)
  FalseNegative nam [13,15] = Marsz dla Życia

(ChunkerEvaluator) Sentence #1244 from articles/00107712 from sent28

Text  : A ja chciała m mojego dla armii Moje bliźniaki zapracują na emeryturę dla starców !
Tokens: 1 2_ 3______ 4 5_____ 6__ 7____ 8___ 9________ 10_______ 11 12_______ 13_ 14_____ 15

Chunks:
  FalsePositive nam [8,8] = Moje (confidence=0.88)

(ChunkerEvaluator) Sentence #1246 from articles/00107712 from sent30

Text  : Ale słyszała m , jak się martwią o kompetencje położnika ,  wydatki na nianię ,  ceny ubranek i  pieluch ,  o  to ,  kto posprząta po pępkowym i  czy szef ich nie zwolni z  pracy Wiele tych zmartwień .
Tokens: 1__ 2_______ 3 4 5__ 6__ 7______ 8 9__________ 10_______ 11 12_____ 13 14____ 15 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:
  FalsePositive nam [36,36] = Wiele (confidence=0.84)

2016-11-04 12:06:39,127 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 74 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107715.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107715.ini
2016-11-04 12:06:39,189 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 75 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107717.xml
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(ChunkerEvaluator) Sentence #1269 from articles/00107717 from sent1

Text  : „ Do boju , Panie Jarosławie ! ”
Tokens: 1 2_ 3___ 4 5____ 6_________ 7 8

Chunks:
  FalsePositive nam [6,7] = Jarosławie ! (confidence=0.79)
  FalseNegative nam [6,6] = Jarosławie

(ChunkerEvaluator) Sentence #1271 from articles/00107717 from sent3

Text  : Fronda dała się nabrać . . .
Tokens: 1_____ 2___ 3__ 4_____ 5 6 7

Chunks:
  FalseNegative nam [1,1] = Fronda

(ChunkerEvaluator) Sentence #1273 from articles/00107717 from sent5

Text  : Strofy o „ szalejącej ” na „ świeżym trupie Polski ”  KPP i  „  niecnym Żydowinie ”  ,  co „  śmie pozwać Poetę ”  Fronda.pl umieściła na swojej stronie 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__________ 31 32 33

Chunks:
  TruePositive nam [10,10] = Polski (confidence=0.99)
  TruePositive nam [12,12] = KPP (confidence=1.00)
  TruePositive nam [16,16] = Żydowinie (confidence=0.82)
  TruePositive nam [25,25] = Fronda.pl (confidence=1.00)
  FalsePositive nam [23,23] = Poetę (confidence=0.64)

(ChunkerEvaluator) Sentence #1274 from articles/00107717 from sent6

Text  : Wiersz został umieszczony na stronie Fronda.pl . Co prawda ze znakiem zapytania i  dopiskiem do tytułu „  ZART ”  .
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] = Fronda.pl (confidence=1.00)
  FalsePositive nam [18,18] = ZART (confidence=0.96)

(ChunkerEvaluator) Sentence #1277 from articles/00107717 from sent9

Text  : Ale jednocześnie oznacza to , ze wszystkie obiekcje natury poetycko -  estetycznej należy kierować bezpośrednio pod adresem Wieszcza -  napisał .
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 [18,18] = Wieszcza

2016-11-04 12:06:39,237 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 76 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107718.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107718.ini
2016-11-04 12:06:39,272 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 77 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107719.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107719.ini
(ChunkerEvaluator) Sentence #1290 from articles/00107719 from sent2

Text  : Sesja Keiry Knightley dla " Interview "
Tokens: 1____ 2____ 3________ 4__ 5 6________ 7

Chunks:
  TruePositive nam [2,3] = Keiry Knightley (confidence=0.93)
  FalseNegative nam [6,6] = Interview

(ChunkerEvaluator) Sentence #1297 from articles/00107719 from sent9

Text  : Może rola pacjentki i kochanki Carla Junga w " Niebezpiecznej metodzie "  Davida Kronenberga otworzyła aktorkę na nowe wyzwania .
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] = Carla Junga (confidence=1.00)
  TruePositive nam [13,14] = Davida Kronenberga (confidence=1.00)
  FalseNegative nam [10,11] = Niebezpiecznej metodzie

(ChunkerEvaluator) Sentence #1304 from articles/00107719 from sent16

Text  : Pojawił się także świetny płaszcz od Diane von Furstenberg .
Tokens: 1______ 2__ 3____ 4______ 5______ 6_ 7____ 8__ 9__________ 10

Chunks:
  FalsePositive nam [7,7] = Diane (confidence=1.00)
  FalsePositive nam [9,9] = Furstenberg (confidence=0.85)
  FalseNegative nam [7,9] = Diane von Furstenberg

2016-11-04 12:06:39,323 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 78 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107720.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107720.ini
(ChunkerEvaluator) Sentence #1311 from articles/00107720 from sent5

Text  : Inspekcja Transportu Drogowego pracowała na drodze krajowej nr 7 na wysokości Miechowa -  zatrzymywano pojazdy ,  które teoretycznie powinny ważyć ok .  3  ,  5  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__ 27

Chunks:
  TruePositive nam [12,12] = Miechowa (confidence=1.00)
  FalsePositive nam [2,3] = Transportu Drogowego (confidence=0.82)
  FalseNegative nam [1,3] = Inspekcja Transportu Drogowego
  FalseNegative nam [6,9] = drodze krajowej nr 7

2016-11-04 12:06:39,381 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 79 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107721.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107721.ini
(ChunkerEvaluator) Sentence #1324 from articles/00107721 from sent3

Text  : Nigdy i nigdzie nie jadłem równie doskonałych jak te w  nieodżałowanym „  Karaluchu ”  ,  czyli Barze Uniwersyteckim na Krakowskim Przedmieściu .
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] = Karaluchu (confidence=1.00)
  TruePositive nam [17,18] = Barze Uniwersyteckim (confidence=0.99)
  FalsePositive nam [20,20] = Krakowskim (confidence=1.00)
  FalseNegative nam [20,21] = Krakowskim Przedmieściu

(ChunkerEvaluator) Sentence #1357 from articles/00107721 from sent36

Text  : Nigdy i nigdzie nie jadłem równie doskonałych jak te w  nieodżałowanym „  Karaluchu ”  ,  czyli Barze Uniwersyteckim na Krakowskim Przedmieściu .
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] = Karaluchu (confidence=1.00)
  TruePositive nam [17,18] = Barze Uniwersyteckim (confidence=0.99)
  FalsePositive nam [20,20] = Krakowskim (confidence=1.00)
  FalseNegative nam [20,21] = Krakowskim Przedmieściu

(ChunkerEvaluator) Sentence #1361 from articles/00107721 from sent40

Text  : A gdy dodatkowo przywoływany jesteś po nie dźwięcznym okrzykiem „  Leniweeeeee proszeeeeee !  ”  ,  czujesz się jak za dawnych dobrych czasów .
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 [11,12] = Leniweeeeee proszeeeeee (confidence=0.98)

(ChunkerEvaluator) Sentence #1362 from articles/00107721 from sent41

Text  : Mleczarnia Jerozolimska , Al . Jerozolimskie 32 , ul .  Bagatela 15 ,  tel .  604 334 409 ,  www.mleczarniajerozolimska.pl ,  nie można płacić kartą ,  brak toalety dla 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_______________

Chunks:
  TruePositive nam [1,2] = Mleczarnia Jerozolimska (confidence=0.85)
  TruePositive nam [4,6] = Al . Jerozolimskie (confidence=1.00)
  TruePositive nam [11,11] = Bagatela (confidence=1.00)
  FalseNegative nam [20,20] = www.mleczarniajerozolimska.pl

2016-11-04 12:06:39,519 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 80 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107727.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107727.ini
(ChunkerEvaluator) Sentence #1370 from articles/00107727 from sent8

Text  : Lotos Gdynia - Constance Jinks 24 , Geraldine Robert 20 ,  Aneika Henry 10 ,  Jolene Anderson 4  ,  Magdalena Ziętara 6  ,  Adrijana Knezevic 2  ,  Magdalena Kaczmarska 0  ,  Małgorzata Misiuk 0  .  (  PAP )
Tokens: 1____ 2_____ 3 4________ 5____ 6_ 7 8________ 9_____ 10 11 12____ 13___ 14 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] = Lotos Gdynia (confidence=0.94)
  TruePositive nam [4,5] = Constance Jinks (confidence=1.00)
  TruePositive nam [20,21] = Magdalena Ziętara (confidence=1.00)
  TruePositive nam [24,25] = Adrijana Knezevic (confidence=1.00)
  TruePositive nam [28,29] = Magdalena Kaczmarska (confidence=1.00)
  TruePositive nam [32,33] = Małgorzata Misiuk (confidence=1.00)
  TruePositive nam [37,37] = PAP (confidence=1.00)
  FalsePositive nam [8,10] = Geraldine Robert 20 (confidence=1.00)
  FalsePositive nam [12,14] = Aneika Henry 10 (confidence=1.00)
  FalsePositive nam [16,18] = Jolene Anderson 4 (confidence=1.00)
  FalseNegative nam [8,9] = Geraldine Robert
  FalseNegative nam [12,13] = Aneika Henry
  FalseNegative nam [16,17] = Jolene Anderson

2016-11-04 12:06:39,550 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 81 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107728.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107728.ini
2016-11-04 12:06:39,585 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 82 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107730.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107730.ini
(ChunkerEvaluator) Sentence #1382 from articles/00107730 from sent2

Text  : Prawdopodobnie od września tego roku w Kielcach rozpoczną się szczepienia dwunastoletnich dziewcząt przeciwko wirusowi HPV powodującego raka szyjki macicy .
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] = Kielcach (confidence=1.00)
  FalsePositive nam [15,15] = HPV (confidence=0.96)

(ChunkerEvaluator) Sentence #1392 from articles/00107730 from sent12

Text  : Młodzi kielczanie od kilku lat mogą korzystać ze szczepień przeciwko pneumokokom i  meningokokom ,  a  seniorzy -  przeciwko grypie .
Tokens: 1_____ 2_________ 3_ 4____ 5__ 6___ 7________ 8_ 9________ 10_______ 11_________ 12 13__________ 14 15 16______ 17 18_______ 19____ 20

Chunks:
  FalseNegative nam [2,2] = kielczanie

2016-11-04 12:06:39,623 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 83 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107731.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107731.ini
(ChunkerEvaluator) Sentence #1396 from articles/00107731 from sent4

Text  : " Rz " : Rewolucja w VAT płaconym przez firmy
Tokens: 1 2_ 3 4 5________ 6 7__ 8_______ 9____ 10___

Chunks:
  TruePositive nam [7,7] = VAT (confidence=0.69)
  FalseNegative nam [2,2] = Rz

(ChunkerEvaluator) Sentence #1398 from articles/00107731 from sent6

Text  : " Rzeczpospolita " dotarła do najnowszego projektu zmian w VAT przygotowanego przez Ministerstwo Finansów .
Tokens: 1 2_____________ 3 4______ 5_ 6__________ 7_______ 8____ 9 10_ 11____________ 12___ 13__________ 14______ 15

Chunks:
  TruePositive nam [10,10] = VAT (confidence=0.97)
  TruePositive nam [13,14] = Ministerstwo Finansów (confidence=1.00)
  FalseNegative nam [2,2] = Rzeczpospolita

(ChunkerEvaluator) Sentence #1400 from articles/00107731 from sent8

Text  : " Rzeczpospolita " wyjaśnia , że obecnie , gdy na przykład podatnik sprzeda towar 30 marca ,  może zdecydować ,  czy wystawić fakturę od razu i  zapłacić podatek w  deklaracji za marzec ,  czy opóźnić ją i  przesunąć uiszczenie podatku nawet do 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 34_ 35_____ 36 37 38_______ 39________ 40_____ 41___ 42 43__ 44

Chunks:
  FalseNegative nam [2,2] = Rzeczpospolita

(ChunkerEvaluator) Sentence #1401 from articles/00107731 from sent9

Text  : Ministerstwo chce to ukrócić i proponuje , by przedsiębiorca z  zasady płacił podatek po tym miesiącu ,  w  którym doszło do transakcji .
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] = Ministerstwo

(ChunkerEvaluator) Sentence #1402 from articles/00107731 from sent10

Text  : Resort chce też zwiększyć do 20 złotych wartość gadżetów i  próbek przekazywanych odbiorcom w  celach promocyjnych ,  od których nie będzie trzeba płacić VAT-u .
Tokens: 1_____ 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] = VAT-u (confidence=1.00)
  FalseNegative nam [7,7] = złotych

(ChunkerEvaluator) Sentence #1408 from articles/00107731 from sent16

Text  : Rzeczpospolita " wyjaśnia , że obecnie gdy na przykład podatnik sprzeda towar 30 marca ,  może zdecydować czy wystawić fakturę od razu i  zapłacić podatek w  deklaracji za marzec ,  czy opóźnić ją i  przesunąć uiszczenie podatku nawet do 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 34 35_______ 36________ 37_____ 38___ 39 40__ 41

Chunks:
  FalseNegative nam [1,1] = Rzeczpospolita

(ChunkerEvaluator) Sentence #1409 from articles/00107731 from sent17

Text  : Ministerstwo chce to ukrócić i proponuje , by przedsiębiorca z  zasady płacił podatek po tym miesiącu ,  w  którym doszło do transakcji .
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] = Ministerstwo

(ChunkerEvaluator) Sentence #1410 from articles/00107731 from sent18

Text  : Resort chce też zwiększyć do 20 złotych wartość gadżetów i  próbek przekazywanych odbiorcom w  celach promocyjnych ,  od których nie będzie trzeba płacić VAT-u .
Tokens: 1_____ 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] = VAT-u (confidence=1.00)
  FalseNegative nam [7,7] = złotych

2016-11-04 12:06:39,828 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 84 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107736.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107736.ini
(ChunkerEvaluator) Sentence #1417 from articles/00107736 from sent4

Text  : Hiszpanów , a 73 proc . wciąż dobrze lub bardzo dobrze ocenia okres jego panowania -  wynika z  badania instytutu Sigma Dos opublikowanego w  "  El Mundo "  .
Tokens: 1________ 2 3 4_ 5___ 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 [21,22] = Sigma Dos (confidence=1.00)
  TruePositive nam [26,27] = El Mundo (confidence=1.00)
  FalseNegative nam [1,1] = Hiszpanów

(ChunkerEvaluator) Sentence #1419 from articles/00107736 from sent6

Text  : Hiszpanów uważa , że kosztowną eskapadą w czasach głębokiego kryzysu król zaszkodził wizerunkowi hiszpańskiej monarchii .
Tokens: 1________ 2____ 3 4_ 5________ 6_______ 7 8______ 9_________ 10_____ 11__ 12________ 13_________ 14__________ 15_______ 16

Chunks:
  FalseNegative nam [1,1] = Hiszpanów

2016-11-04 12:06:39,906 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 85 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107737.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107737.ini
(ChunkerEvaluator) Sentence #1434 from articles/00107737 from sent4

Text  : Polska Fundacja Przedsiębiorczości i Oxford Innovation Ltd . z Wielkiej Brytanii realizują projekt „  Re :  start ”  ,  który otrzymał dofinansowanie ze środków Unii Europejskiej w  ramach 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______ 22____________ 23 24_____ 25__ 26__________ 27 28____ 29______ 30__________ 31_____ 32____ 33

Chunks:
  TruePositive nam [1,3] = Polska Fundacja Przedsiębiorczości (confidence=1.00)
  TruePositive nam [10,11] = Wielkiej Brytanii (confidence=1.00)
  TruePositive nam [15,17] = Re : start (confidence=0.88)
  TruePositive nam [25,26] = Unii Europejskiej (confidence=1.00)
  TruePositive nam [29,32] = Programu Operacyjnego Kapitał Ludzki (confidence=0.98)
  FalsePositive nam [5,7] = Oxford Innovation Ltd (confidence=0.99)
  FalseNegative nam [5,8] = Oxford Innovation Ltd .

2016-11-04 12:06:39,961 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 86 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107740.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107740.ini
(ChunkerEvaluator) Sentence #1442 from articles/00107740 from sent2

Text  : Piątek ( 22 listopada ) , godz . 18
Tokens: 1_____ 2 3_ 4________ 5 6 7___ 8 9_

Chunks:
  FalsePositive nam [1,1] = Piątek (confidence=0.98)

2016-11-04 12:06:39,982 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 87 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107742.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107742.ini
(ChunkerEvaluator) Sentence #1466 from articles/00107742 from sent23

Text  : Projekt zakłada utworzenie podległego ministrowi zdrowia Centrum Organizacyjno - Koordynacyjnego do Spraw Medycznie Wspomaganej Prokreacji "  PolART "  z  siedzibą 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 [22,22] = Warszawie (confidence=1.00)
  FalsePositive nam [7,10] = Centrum Organizacyjno - Koordynacyjnego (confidence=1.00)
  FalsePositive nam [12,15] = Spraw Medycznie Wspomaganej Prokreacji (confidence=0.96)
  FalsePositive nam [17,17] = PolART (confidence=0.96)
  FalseNegative nam [7,18] = Centrum Organizacyjno - Koordynacyjnego do Spraw Medycznie Wspomaganej Prokreacji " PolART "

(ChunkerEvaluator) Sentence #1480 from articles/00107742 from sent37

Text  : Chodzi o to , żeby ludzie , którzy decydują się na in vitro ,  czuli się bezpiecznie "  -  powiedziała PAP Kidawa -  Błońska .
Tokens: 1_____ 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 [21,24] = PAP Kidawa - Błońska (confidence=1.00)
  FalseNegative nam [21,21] = PAP
  FalseNegative nam [22,24] = Kidawa - Błońska

2016-11-04 12:06:40,267 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 88 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107743.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107743.ini
(ChunkerEvaluator) Sentence #1502 from articles/00107743 from sent4

Text  : Wideowspomnienia
Tokens: 1_______________

Chunks:
  FalsePositive nam [1,1] = Wideowspomnienia (confidence=0.59)

(ChunkerEvaluator) Sentence #1508 from articles/00107743 from sent10

Text  : Na spotkanie z Krzysztofem Bartnickim , autorem przekładu „ najtrudniejszej książki świata ”  ,  czyli „  Finnegans Wake ”  Jamesa Joyce'a ,  zaprasza Mediateka (  pl .  Teatralny 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

Chunks:
  TruePositive nam [4,5] = Krzysztofem Bartnickim (confidence=1.00)
  TruePositive nam [17,18] = Finnegans Wake (confidence=1.00)
  TruePositive nam [20,21] = Jamesa Joyce'a (confidence=1.00)
  TruePositive nam [24,24] = Mediateka (confidence=0.99)
  TruePositive nam [28,28] = Teatralny (confidence=0.62)
  FalseNegative nam [10,12] = najtrudniejszej książki świata

(ChunkerEvaluator) Sentence #1511 from articles/00107743 from sent13

Text  : Australia na wieczór
Tokens: 1________ 2_ 3______

Chunks:
  FalseNegative nam [1,1] = Australia

(ChunkerEvaluator) Sentence #1514 from articles/00107743 from sent16

Text  : O godz . 18 . 30 rozpocznie się tam dyskusja poświęcona książce Bruce'a Chatwina „  Ścieżki śpiewu ”  .
Tokens: 1 2___ 3 4_ 5 6_ 7_________ 8__ 9__ 10______ 11________ 12_____ 13_____ 14______ 15 16_____ 17____ 18 19

Chunks:
  FalsePositive nam [13,18] = Bruce'a Chatwina „ Ścieżki śpiewu ” (confidence=1.00)
  FalseNegative nam [13,14] = Bruce'a Chatwina
  FalseNegative nam [16,17] = Ścieżki śpiewu

(ChunkerEvaluator) Sentence #1517 from articles/00107743 from sent19

Text  : Wschód spotyka Zachód
Tokens: 1_____ 2______ 3_____

Chunks:
  FalsePositive nam [3,3] = Zachód (confidence=0.64)

(ChunkerEvaluator) Sentence #1521 from articles/00107743 from sent23

Text  : Wystawy oglądać można od godz . 9 rano , szczegółowy program na stronie www .  emw .  bonsai .  pl .  Bilety jednodniowe 10 zł ,  wstęp na wystawę i  pokazy 45 zł ,  karnet dwudniowy (  wystawa ,  wykłady ,  pokazy )  80 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 31____ 32 33 34 35____ 36_______ 37 38_____ 39 40_____ 41 42____ 43 44 45 46

Chunks:
  TruePositive nam [25,25] = zł (confidence=1.00)
  TruePositive nam [33,33] = zł (confidence=1.00)
  TruePositive nam [45,45] = zł (confidence=0.99)
  FalsePositive nam [14,22] = www . emw . bonsai . pl . Bilety (confidence=0.86)
  FalseNegative nam [14,20] = www . emw . bonsai . pl

(ChunkerEvaluator) Sentence #1523 from articles/00107743 from sent25

Text  : Grupa muzyczna „ La Bogusha y su grupo ” wykonuje najbardziej ortodoksyjny nurt flamenco ,  tzw .  puro .
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] = La Bogusha (confidence=1.00)
  FalseNegative nam [4,8] = La Bogusha y su grupo

2016-11-04 12:06:40,374 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 89 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107746.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107746.ini
(ChunkerEvaluator) Sentence #1531 from articles/00107746 from sent2

Text  : Centrum Dydaktyczne Wydziału Fizyki UAM ( Umultowska 85 ) ,  środa 27 listopada ,  godz .  10 .  45
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] = Umultowska (confidence=0.98)
  FalsePositive nam [1,5] = Centrum Dydaktyczne Wydziału Fizyki UAM (confidence=1.00)

(ChunkerEvaluator) Sentence #1532 from articles/00107746 from sent3

Text  : O silnych związkach fizyki z medycyną i nowoczesną diagnostyką medyczną będzie mowa w  wykładzie prof .  Ryszarda Krzyminiewskiego inaugurującego cykl „  Fizyka w  Medycynie "  .
Tokens: 1 2______ 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 [17,18] = Ryszarda Krzyminiewskiego (confidence=1.00)
  FalsePositive nam [22,22] = Fizyka (confidence=0.86)
  FalsePositive nam [24,24] = Medycynie (confidence=0.98)
  FalseNegative nam [22,24] = Fizyka w Medycynie

(ChunkerEvaluator) Sentence #1533 from articles/00107746 from sent4

Text  : Wykład będzie na żywo transmitowany na stronie http / ifnt .  fizyka .  amu .  edu .  pl /  demon /
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 [8,20] = http / ifnt . fizyka . amu . edu . pl / demon (confidence=0.44)
  FalseNegative nam [8,21] = http / ifnt . fizyka . amu . edu . pl / demon /

2016-11-04 12:06:40,397 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 90 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107748.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107748.ini
(ChunkerEvaluator) Sentence #1543 from articles/00107748 from sent10

Text  : U siebie mamy dobrą passę i w sobotę postaramy się ją przedłużyć [  Resovia na własnym stadionie nie przegrała od 21 maja 2011 roku -  przyp .  red .  ]  -  dodaje golkiper rzeszowskiej 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

Chunks:
  FalseNegative nam [14,14] = Resovia

(ChunkerEvaluator) Sentence #1544 from articles/00107748 from sent11

Text  : Resoviacy w konfrontacji z beniaminkiem ligi będą musieli radzić sobie jednak bez kibiców .
Tokens: 1________ 2 3___________ 4 5___________ 6___ 7___ 8______ 9_____ 10___ 11____ 12_ 13_____ 14

Chunks:
  FalseNegative nam [1,1] = Resoviacy

(ChunkerEvaluator) Sentence #1545 from articles/00107748 from sent12

Text  : To efekt kary nałożonej przez Wydział Dyscypliny Polskiego Związku Piłki Nożnej za odpalenie rac podczas derbowego spotkania ze Stalą Rzeszów .
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] = Stalą Rzeszów (confidence=1.00)
  FalsePositive nam [6,11] = Wydział Dyscypliny Polskiego Związku Piłki Nożnej (confidence=1.00)

(ChunkerEvaluator) Sentence #1546 from articles/00107748 from sent13

Text  : Decyzją WD stadion został zamknięty na dwa spotkania , a  Resovia dodatkowo ma zapłacić 5  tys .  zł kary .
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] = WD (confidence=0.77)
  TruePositive nam [11,11] = Resovia (confidence=0.99)
  FalsePositive nam [18,18] = zł (confidence=0.97)

2016-11-04 12:06:40,507 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 91 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107749.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107749.ini
(ChunkerEvaluator) Sentence #1566 from articles/00107749 from sent7

Text  : Nie będzie lewoskrętu od strony ronda Ofiar Katynia - informuje Zarząd Infrastruktury Komunalnej i  Transportu .
Tokens: 1__ 2_____ 3_________ 4_ 5_____ 6____ 7____ 8______ 9 10_______ 11____ 12____________ 13________ 14 15________ 16

Chunks:
  TruePositive nam [7,8] = Ofiar Katynia (confidence=1.00)
  FalsePositive nam [11,13] = Zarząd Infrastruktury Komunalnej (confidence=0.99)
  FalsePositive nam [15,15] = Transportu (confidence=0.89)
  FalseNegative nam [11,15] = Zarząd Infrastruktury Komunalnej i Transportu

2016-11-04 12:06:40,541 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 92 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107750.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107750.ini
(ChunkerEvaluator) Sentence #1572 from articles/00107750 from sent3

Text  : Za euro płacono ok . 4 , 188 zł .
Tokens: 1_ 2___ 3______ 4_ 5 6 7 8__ 9_ 10

Chunks:
  TruePositive nam [9,9] = zł (confidence=0.86)
  FalseNegative nam [2,2] = euro

(ChunkerEvaluator) Sentence #1580 from articles/00107750 from sent11

Text  : EUR / PLN 4 , 1880 4 , 1803 4  ,  1720 USD /  PLN 3  ,  1823 3  ,  1811 3  ,  1767 EUR /  USD 1  ,  3155 1  ,  3137 1  ,  3131
Tokens: 1__ 2 3__ 4 5 6___ 7 8 9___ 10 11 12__ 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] = EUR (confidence=0.99)
  TruePositive nam [3,3] = PLN (confidence=1.00)
  TruePositive nam [13,13] = USD (confidence=1.00)
  TruePositive nam [15,15] = PLN (confidence=0.62)
  FalsePositive nam [25,27] = EUR / USD (confidence=1.00)
  FalseNegative nam [25,25] = EUR
  FalseNegative nam [27,27] = USD

2016-11-04 12:06:40,598 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 93 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107759.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107759.ini
2016-11-04 12:06:40,617 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 94 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107760.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107760.ini
(ChunkerEvaluator) Sentence #1587 from articles/00107760 from sent5

Text  : Pogorzelec na IO 2012
Tokens: 1_________ 2_ 3_ 4___

Chunks:
  TruePositive nam [3,4] = IO 2012 (confidence=1.00)
  FalseNegative nam [1,1] = Pogorzelec

(ChunkerEvaluator) Sentence #1593 from articles/00107760 from sent11

Text  : Już wcześniej prawo występu w IO 2012 wywalczyło - na podstawie rankingu -  czworo naszych zawodników :  Tomasz Kowalski (  66 kg ,  AZS Opole )  ,  Tomasz Adamiec (  73 kg ,  Ryś Warszawa )  ,  Janusz Wojnarowicz (  +  100 kg ,  Czarni Bytom )  i  Urszula Sadkowska (  +  78 kg ,  Nippon Olsztyn )  .
Tokens: 1__ 2________ 3____ 4______ 5 6_ 7___ 8_________ 9 10 11_______ 12______ 13 14____ 15_____ 16________ 17 18____ 19______ 20 21 22 23 24_ 25___ 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 [18,19] = Tomasz Kowalski (confidence=1.00)
  TruePositive nam [24,25] = AZS Opole (confidence=0.97)
  TruePositive nam [28,29] = Tomasz Adamiec (confidence=1.00)
  TruePositive nam [34,35] = Ryś Warszawa (confidence=0.99)
  TruePositive nam [38,39] = Janusz Wojnarowicz (confidence=1.00)
  TruePositive nam [49,50] = Urszula Sadkowska (confidence=1.00)
  TruePositive nam [56,57] = Nippon Olsztyn (confidence=0.98)
  FalsePositive nam [6,6] = IO (confidence=1.00)
  FalsePositive nam [46,46] = Bytom (confidence=0.58)
  FalseNegative nam [6,7] = IO 2012
  FalseNegative nam [45,46] = Czarni Bytom

(ChunkerEvaluator) Sentence #1594 from articles/00107760 from sent12

Text  : W niedawnych mistrzostwach Europy kwalifikację zapewniła sobie Katarzyna Kłys (  70 kg ,  Wisła Kraków )  ,  która zdobyła tytuł wicemistrzowski -  podobnie jak Kowalski -  i  awansowała na 14 .  miejsce ,  ostatnie premiowane awansem z  listy światowej .
Tokens: 1 2_________ 3____________ 4_____ 5___________ 6________ 7____ 8________ 9___ 10 11 12 13 14___ 15____ 16 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 [8,9] = Katarzyna Kłys (confidence=1.00)
  TruePositive nam [14,15] = Wisła Kraków (confidence=0.90)
  TruePositive nam [25,25] = Kowalski (confidence=1.00)
  FalsePositive nam [3,4] = mistrzostwach Europy (confidence=0.69)

(ChunkerEvaluator) Sentence #1601 from articles/00107760 from sent19

Text  : Już wcześniej prawo występu w IO 2012 wywalczyło - na podstawie rankingu -  czworo biało -  czerwonych :  Tomasz Kowalski (  66 kg ,  AZS Opole )  ,  Tomasz Adamiec (  73 kg ,  Ryś Warszawa )  ,  Janusz Wojnarowicz (  +  100 kg ,  Czarni Bytom )  i  Urszula Sadkowska (  +  78 kg ,  Nippon Olsztyn )  .
Tokens: 1__ 2________ 3____ 4______ 5 6_ 7___ 8_________ 9 10 11_______ 12______ 13 14____ 15___ 16 17________ 18 19____ 20______ 21 22 23 24 25_ 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 [19,20] = Tomasz Kowalski (confidence=1.00)
  TruePositive nam [25,26] = AZS Opole (confidence=0.97)
  TruePositive nam [29,30] = Tomasz Adamiec (confidence=1.00)
  TruePositive nam [35,36] = Ryś Warszawa (confidence=0.99)
  TruePositive nam [39,40] = Janusz Wojnarowicz (confidence=1.00)
  TruePositive nam [50,51] = Urszula Sadkowska (confidence=1.00)
  TruePositive nam [57,58] = Nippon Olsztyn (confidence=0.98)
  FalsePositive nam [6,6] = IO (confidence=1.00)
  FalsePositive nam [47,47] = Bytom (confidence=0.58)
  FalseNegative nam [6,7] = IO 2012
  FalseNegative nam [46,47] = Czarni Bytom

(ChunkerEvaluator) Sentence #1602 from articles/00107760 from sent20

Text  : W niedawnych mistrzostwach Europy kwalifikację zapewniła sobie Katarzyna Kłys (  70 kg ,  Wisła Kraków )  ,  która zdobyła tytuł wicemistrzowski -  podobnie jak Kowalski -  i  awansowała na 14 .  miejsce ,  ostatnie premiowane awansem z  listy światowej .
Tokens: 1 2_________ 3____________ 4_____ 5___________ 6________ 7____ 8________ 9___ 10 11 12 13 14___ 15____ 16 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 [8,9] = Katarzyna Kłys (confidence=1.00)
  TruePositive nam [14,15] = Wisła Kraków (confidence=0.90)
  TruePositive nam [25,25] = Kowalski (confidence=1.00)
  FalsePositive nam [3,4] = mistrzostwach Europy (confidence=0.69)
  FalseNegative nam [4,4] = Europy

2016-11-04 12:06:40,736 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 95 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107763.xml
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(ChunkerEvaluator) Sentence #1609 from articles/00107763 from sent1

Text  : MŚ w hokeju - USA - Białoruś 5 : 3
Tokens: 1_ 2 3_____ 4 5__ 6 7_______ 8 9 10

Chunks:
  TruePositive nam [5,5] = USA (confidence=1.00)
  TruePositive nam [7,7] = Białoruś (confidence=0.98)
  FalseNegative nam [1,1] = MŚ

(ChunkerEvaluator) Sentence #1610 from articles/00107763 from sent2

Text  : Stany Zjednoczone pokonały w Helsinkach Białoruś 5 : 3 (  2  :  1  ,  1  :  1  ,  2  :  1  )  w  mistrzostwach świata elity w  hokeju na lodzie .
Tokens: 1____ 2__________ 3_______ 4 5_________ 6_______ 7 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] = Stany Zjednoczone (confidence=1.00)
  FalsePositive nam [5,6] = Helsinkach Białoruś (confidence=1.00)
  FalseNegative nam [5,5] = Helsinkach
  FalseNegative nam [6,6] = Białoruś

2016-11-04 12:06:40,766 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 96 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107765.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107765.ini
2016-11-04 12:06:40,800 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 97 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107767.xml
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(ChunkerEvaluator) Sentence #1635 from articles/00107767 from sent12

Text  : Sikorski i Store napisali następnie , że dialog NATO -  Rosja dotyczący w  szczególności taktycznej broni jądrowej mógł by być pozytywny dla obustronnych relacji ,  nadać większą przejrzystość i  zwiększyć wzajemnie zaufanie .
Tokens: 1_______ 2 3____ 4_______ 5________ 6 7_ 8_____ 9___ 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] = Sikorski (confidence=0.87)
  TruePositive nam [3,3] = Store (confidence=0.94)
  FalsePositive nam [9,11] = NATO - Rosja (confidence=0.97)
  FalseNegative nam [9,9] = NATO
  FalseNegative nam [11,11] = Rosja

2016-11-04 12:06:40,883 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 98 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107768.xml
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(ChunkerEvaluator) Sentence #1640 from articles/00107768 from sent3

Text  : Berlin ( PAP / dpa ) - Rząd niemiecki spełni prośbę Izraela o  rakiety obronne typu Patriot -  potwierdził kanclerz Niemiec Gerhard Schroeder
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] = Berlin (confidence=0.98)
  TruePositive nam [3,3] = PAP (confidence=1.00)
  TruePositive nam [12,12] = Izraela (confidence=1.00)
  TruePositive nam [17,17] = Patriot (confidence=0.99)
  TruePositive nam [21,21] = Niemiec (confidence=1.00)
  TruePositive nam [22,23] = Gerhard Schroeder (confidence=0.96)
  FalseNegative nam [8,8] = Rząd

(ChunkerEvaluator) Sentence #1656 from articles/00107768 from sent19

Text  : ( PAP ) kd / mc / raf / 5315
Tokens: 1 2__ 3 4_ 5 6_ 7 8__ 9 10__

Chunks:
  TruePositive nam [2,2] = PAP (confidence=1.00)
  FalsePositive nam [4,4] = kd (confidence=0.65)

2016-11-04 12:06:40,951 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 99 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107769.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107769.ini
(ChunkerEvaluator) Sentence #1664 from articles/00107769 from sent8

Text  : Urodzeni wtedy - już w III RP - dzisiaj powoli zbierają materiały do pisania prac magisterskich .
Tokens: 1_______ 2____ 3 4__ 5 6__ 7_ 8 9______ 10____ 11______ 12_______ 13 14_____ 15__ 16___________ 17

Chunks:
  FalseNegative nam [6,7] = III RP

(ChunkerEvaluator) Sentence #1670 from articles/00107769 from sent14

Text  : Bo Łącko dostało pozwolenie na pędzenie w majestacie prawa jeszcze za nieboszczki monarchii austro -  węgierskiej .
Tokens: 1_ 2____ 3______ 4_________ 5_ 6_______ 7 8_________ 9____ 10_____ 11 12_________ 13_______ 14____ 15 16_________ 17

Chunks:
  FalsePositive nam [1,2] = Bo Łącko (confidence=0.69)
  FalseNegative nam [2,2] = Łącko

(ChunkerEvaluator) Sentence #1671 from articles/00107769 from sent15

Text  : Decyzję Austriaków - do dzisiaj słynących z przednich nalewek -  podtrzymały władze II RP .
Tokens: 1______ 2_________ 3 4_ 5______ 6________ 7 8________ 9______ 10 11_________ 12____ 13 14 15

Chunks:
  TruePositive nam [2,2] = Austriaków (confidence=0.90)
  FalseNegative nam [13,14] = II RP

(ChunkerEvaluator) Sentence #1673 from articles/00107769 from sent17

Text  : Przed wybuchem II wojny światowej wytwarzano rocznie ok . 20 tysięcy litrów 70 -  procentowego alkoholu .
Tokens: 1____ 2_______ 3_ 4____ 5________ 6_________ 7______ 8_ 9 10 11_____ 12____ 13 14 15__________ 16______ 17

Chunks:
  FalseNegative nam [3,5] = II wojny światowej

(ChunkerEvaluator) Sentence #1680 from articles/00107769 from sent24

Text  : - Niektórzy mówili , że tylko dzięki śliwowicy powstało województwo nowosądeckie ,  a  nie nowotarskie -  przyznaje Franciszek Młynarczyk ,  były wójt Łącka .
Tokens: 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] = Franciszek Młynarczyk (confidence=1.00)
  TruePositive nam [23,23] = Łącka (confidence=1.00)
  FalseNegative nam [11,11] = nowosądeckie

(ChunkerEvaluator) Sentence #1682 from articles/00107769 from sent26

Text  : Nielegalnego smaku śliwowicy zakosztowali przedstawiciele wszystkich głównych opcji politycznych zasiadających w  polskim Sejmie po 1989 roku :  UW ,  KLD ,  UD ,  ROP ,  ZChN ,  AWS ,  SLD ,  UP ,  SdPL ,  PSL ,  LPR ,  Samoobrony ,  PiS i  oczywiście PO .
Tokens: 1___________ 2____ 3________ 4___________ 5______________ 6_________ 7_______ 8____ 9___________ 10___________ 11 12_____ 13____ 14 15__ 16__ 17 18 19 20_ 21 22 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 [13,13] = Sejmie (confidence=1.00)
  TruePositive nam [18,18] = UW (confidence=0.97)
  TruePositive nam [20,20] = KLD (confidence=1.00)
  TruePositive nam [22,22] = UD (confidence=1.00)
  TruePositive nam [24,24] = ROP (confidence=0.98)
  TruePositive nam [26,26] = ZChN (confidence=1.00)
  TruePositive nam [28,28] = AWS (confidence=1.00)
  TruePositive nam [30,30] = SLD (confidence=1.00)
  TruePositive nam [32,32] = UP (confidence=1.00)
  TruePositive nam [34,34] = SdPL (confidence=1.00)
  TruePositive nam [36,36] = PSL (confidence=1.00)
  TruePositive nam [38,38] = LPR (confidence=1.00)
  TruePositive nam [42,42] = PiS (confidence=1.00)
  TruePositive nam [45,45] = PO (confidence=1.00)
  FalsePositive nam [40,40] = Samoobrony (confidence=1.00)

2016-11-04 12:06:41,107 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 100 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107771.xml
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(ChunkerEvaluator) Sentence #1711 from articles/00107771 from sent8

Text  : Łukasz Cegliński : Kolana nie bolą ?
Tokens: 1_____ 2________ 3 4_____ 5__ 6___ 7

Chunks:
  TruePositive nam [1,2] = Łukasz Cegliński (confidence=1.00)
  FalsePositive nam [4,4] = Kolana (confidence=0.69)

(ChunkerEvaluator) Sentence #1732 from articles/00107771 from sent29

Text  : Igor tu też mi pomógł .
Tokens: 1___ 2_ 3__ 4_ 5_____ 6

Chunks:
  FalseNegative nam [1,1] = Igor

(ChunkerEvaluator) Sentence #1753 from articles/00107771 from sent50

Text  : W ćwierćfinale play - off grali ście z Asseco Prokomem Gdynia .
Tokens: 1 2___________ 3___ 4 5__ 6____ 7___ 8 9_____ 10______ 11____ 12

Chunks:
  TruePositive nam [9,11] = Asseco Prokomem Gdynia (confidence=1.00)
  FalseNegative nam [3,5] = play - off

2016-11-04 12:06:41,362 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 101 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107772.xml
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(ChunkerEvaluator) Sentence #1779 from articles/00107772 from sent3

Text  : Raport Bieżący Nr _ 364 _ E / ARBITER /  2002 :  Pioneer Pekao Towarzystwo Funduszy Inwestycyjnych S  .  A  .  działając w  imieniu Pioneer Arbitrażowego Specjalistycznego Funduszu Inwestycyjnego Zamkniętego niniejszym informuje ,  że w  dniu 26 .  11 .  2002 roku Pioneer Arbitrażowy Specjalistyczny Fundusz Inwestycyjny Zamknięty zawarł transakcję zakupu papierów wartościowych :
Tokens: 1_____ 2______ 3_ 4 5__ 6 7 8 9______ 10 11__ 12 13_____ 14___ 15_________ 16______ 17____________ 18 19 20 21 22_______ 23 24_____ 25_____ 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] = ARBITER (confidence=1.00)
  TruePositive nam [13,21] = Pioneer Pekao Towarzystwo Funduszy Inwestycyjnych S . A . (confidence=0.99)
  TruePositive nam [25,30] = Pioneer Arbitrażowego Specjalistycznego Funduszu Inwestycyjnego Zamkniętego (confidence=1.00)
  TruePositive nam [43,48] = Pioneer Arbitrażowy Specjalistyczny Fundusz Inwestycyjny Zamknięty (confidence=1.00)
  FalsePositive nam [1,3] = Raport Bieżący Nr (confidence=0.90)
  FalsePositive nam [7,7] = E (confidence=0.84)

(ChunkerEvaluator) Sentence #1781 from articles/00107772 from sent5

Text  : nazwa i podstawowe dane podmiotu zbywającego aktywa : BRE Bank SA 00 -  950 Warszawa ul .  Senatorska 18
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] = Senatorska (confidence=1.00)
  FalseNegative nam [9,11] = BRE Bank SA
  FalseNegative nam [15,15] = Warszawa

(ChunkerEvaluator) Sentence #1787 from articles/00107772 from sent11

Text  : przedmiotem transakcji były : Bony Skarbowe : PL0000002150 o wartości nominalnej :  56 870 000 .  00 zł terminie wykupu :  25 .  06 .  03 !
Tokens: 1__________ 2_________ 3___ 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] = zł (confidence=0.96)
  FalsePositive nam [5,6] = Bony Skarbowe (confidence=0.92)

(ChunkerEvaluator) Sentence #1789 from articles/00107772 from sent13

Text  : co stanowi : 87 % wartości Aktywów Netto Funduszu z  dnia ostatniej wyceny
Tokens: 1_ 2______ 3 4_ 5 6_______ 7______ 8____ 9_______ 10 11__ 12_______ 13____

Chunks:
  FalsePositive nam [7,9] = Aktywów Netto Funduszu (confidence=1.00)

(ChunkerEvaluator) Sentence #1791 from articles/00107772 from sent15

Text  : Kryterium będące podstawą uznania aktywów za aktywa o znacznej wartości :  Wartość przedmiotu transakcji stanowi co najmniej 10 %  wartości Aktywów Netto 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______

Chunks:
  FalsePositive nam [21,23] = Aktywów Netto Funduszu (confidence=1.00)

(ChunkerEvaluator) Sentence #1795 from articles/00107772 from sent19

Text  : Źródłem finansowania nabytych aktywów są kwoty wpłacone przez nabywców Certyfikatów Inwestycyjnych funduszu po powiększeniu o  dochody funduszu .
Tokens: 1______ 2___________ 3_______ 4______ 5_ 6____ 7_______ 8____ 9_______ 10__________ 11____________ 12______ 13 14__________ 15 16_____ 17______ 18

Chunks:
  FalsePositive nam [10,11] = Certyfikatów Inwestycyjnych (confidence=0.89)

2016-11-04 12:06:41,434 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 102 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107773.xml
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(ChunkerEvaluator) Sentence #1799 from articles/00107773 from sent4

Text  : Rada wydaje dla resortu m . in . opinie dotyczące wpisania leków na listę refundacyjną .
Tokens: 1___ 2_____ 3__ 4______ 5 6 7_ 8 9_____ 10_______ 11______ 12___ 13 14___ 15__________ 16

Chunks:
  FalseNegative nam [1,1] = Rada

(ChunkerEvaluator) Sentence #1811 from articles/00107773 from sent16

Text  : Rada wydaje m . in . opinie dla ministra zdrowia ws .  wpisania na listę refundacyjną nowych leków lub rozszerzenia refundacji niektórych leków poza wskazania rejestracyjne .
Tokens: 1___ 2_____ 3 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] = Rada

2016-11-04 12:06:41,534 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 103 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107775.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107775.ini
(ChunkerEvaluator) Sentence #1816 from articles/00107775 from sent4

Text  : We wtorek w Brukseli przedstawiciele 10 państw kandydujących zapoznali się z  przygotowanymi przez przewodzącą Unii Danię indywidualnymi pakietami kompromisowych rozwiązań w  kwestiach finansowych negocjowanych z  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 [4,4] = Brukseli (confidence=1.00)
  TruePositive nam [26,26] = UE (confidence=0.99)
  FalsePositive nam [15,16] = Unii Danię (confidence=1.00)
  FalseNegative nam [15,15] = Unii
  FalseNegative nam [16,16] = Danię

(ChunkerEvaluator) Sentence #1830 from articles/00107775 from sent18

Text  : ( PAP ) mok / aja / lop / bug /
Tokens: 1 2__ 3 4__ 5 6__ 7 8__ 9 10_ 11

Chunks:
  TruePositive nam [2,2] = PAP (confidence=1.00)
  FalsePositive nam [6,6] = aja (confidence=0.42)

2016-11-04 12:06:41,635 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 104 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107778.xml
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(ChunkerEvaluator) Sentence #1836 from articles/00107778 from sent6

Text  : PROJEKT BUDŻETU .
Tokens: 1______ 2______ 3

Chunks:
  FalsePositive nam [1,2] = PROJEKT BUDŻETU (confidence=0.95)

(ChunkerEvaluator) Sentence #1838 from articles/00107778 from sent8

Text  : Dolnośląski Urząd Marszałkowski finansuje flagowe okręty kultury naszego regionu :  m  .  in .  Operę Dolnośląską ,  filharmonie we Wrocławiu ,  Jeleniej Górze i  Wałbrzychu ,  wrocławski Teatr Polski ,  Teatr Dramatyczny w  Wałbrzychu .
Tokens: 1__________ 2____ 3____________ 4________ 5______ 6_____ 7______ 8______ 9______ 10 11 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 [1,3] = Dolnośląski Urząd Marszałkowski (confidence=0.88)
  TruePositive nam [15,16] = Operę Dolnośląską (confidence=0.98)
  TruePositive nam [20,20] = Wrocławiu (confidence=1.00)
  TruePositive nam [22,23] = Jeleniej Górze (confidence=1.00)
  TruePositive nam [25,25] = Wałbrzychu (confidence=0.96)
  TruePositive nam [31,32] = Teatr Dramatyczny (confidence=0.98)
  TruePositive nam [34,34] = Wałbrzychu (confidence=0.99)
  FalsePositive nam [27,29] = wrocławski Teatr Polski (confidence=0.51)
  FalseNegative nam [28,29] = Teatr Polski

(ChunkerEvaluator) Sentence #1843 from articles/00107778 from sent13

Text  : Dolnośląskie 43 mln zł to o ponad 5 mln zł mniej ,  niż przewidywał budżet ubiegłoroczny .
Tokens: 1___________ 2_ 3__ 4_ 5_ 6 7____ 8 9__ 10 11___ 12 13_ 14_________ 15____ 16___________ 17

Chunks:
  TruePositive nam [4,4] = zł (confidence=1.00)
  TruePositive nam [10,10] = zł (confidence=0.99)
  FalseNegative nam [1,1] = Dolnośląskie

(ChunkerEvaluator) Sentence #1847 from articles/00107778 from sent17

Text  : Choć nie wiadomo jeszcze , ile dodatkowych pieniędzy otrzymamy ,  Norbert Raba ,  dyrektor Wydziału Kultury i  Nauki w  Urzędzie Marszałkowskim ,  ma nadzieję ,  że nie będzie ich mniej niż w  tym 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 [11,12] = Norbert Raba (confidence=1.00)
  FalsePositive nam [15,18] = Wydziału Kultury i Nauki (confidence=1.00)
  FalsePositive nam [20,21] = Urzędzie Marszałkowskim (confidence=1.00)
  FalseNegative nam [15,21] = Wydziału Kultury i Nauki w Urzędzie Marszałkowskim

(ChunkerEvaluator) Sentence #1848 from articles/00107778 from sent18

Text  : Najwięcej z tych pieniędzy - 40 , 5 mln zł (  analogicznie w  zeszłym roku -  31 mln ,  w  sumie wydano 45 mln zł )  -  pochłoną wydatki bieżące ,  czyli działalność instytucji kulturalnych (  pensje dla pracowników i  obsługa budynków pochłoną 37 ,  65 mln zł )  ,  dofinansowanie imprez ,  organizowanych przez stowarzyszenia ,  towarzystwa ,  fundacje i  wydawnictwa (  800 tys .  zł )  ,  remonty i  konserwacja zabytków ,  w  tym np .  remonty zabytków w  parafiach (  1  ,  3  mln zł )  i  imprezy okazjonalne ,  np .  Dni Alzacji na Dolnym Śląsku ,   Dni Dolnego Śląska w   Saksonii ,   Nagroda Kulturalna Śląska (   750 tys .   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_____ 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

Chunks:
  TruePositive nam [10,10] = zł (confidence=1.00)
  TruePositive nam [25,25] = zł (confidence=1.00)
  TruePositive nam [48,48] = zł (confidence=1.00)
  TruePositive nam [67,67] = zł (confidence=0.99)
  TruePositive nam [88,88] = zł (confidence=1.00)
  TruePositive nam [108,110] = Nagroda Kulturalna Śląska (confidence=1.00)
  TruePositive nam [115,115] = zł (confidence=1.00)
  FalsePositive nam [96,97] = Dni Alzacji (confidence=0.96)
  FalsePositive nam [99,100] = Dolnym Śląsku (confidence=0.99)
  FalsePositive nam [102,104] = Dni Dolnego Śląska (confidence=0.99)
  FalsePositive nam [106,106] = Saksonii (confidence=0.99)
  FalseNegative nam [96,100] = Dni Alzacji na Dolnym Śląsku
  FalseNegative nam [102,106] = Dni Dolnego Śląska w Saksonii

(ChunkerEvaluator) Sentence #1851 from articles/00107778 from sent21

Text  : Opera , wrocławski Ośrodek Kultury i Sztuki ( dotacja w  wysokości ponad miliona złotych )  oraz Wojewódzka i  Miejska Biblioteka Publiczna to jedyne -  z  wymienionych w  projekcie budżetu -  instytucje ,  które już teraz wiedzą ,  ile pieniędzy dostaną w  najgorszej sytuacji ,  tzn .  wtedy ,  gdyby dotacja z  budżetu centralnego okazała się mniejsza ,  niż zakłada Zarząd 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__________ 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 [4,7] = Ośrodek Kultury i Sztuki (confidence=0.99)
  TruePositive nam [14,14] = złotych (confidence=0.98)
  TruePositive nam [60,61] = Zarząd Województwa (confidence=0.98)
  FalsePositive nam [17,17] = Wojewódzka (confidence=1.00)
  FalsePositive nam [19,21] = Miejska Biblioteka Publiczna (confidence=1.00)
  FalseNegative nam [1,1] = Opera
  FalseNegative nam [17,21] = Wojewódzka i Miejska Biblioteka Publiczna

(ChunkerEvaluator) Sentence #1852 from articles/00107778 from sent22

Text  : Ponad 1 , 1 mln zł ma dostać Międzynarodowy Festiwal „  Wratislavia Cantans ”  .
Tokens: 1____ 2 3 4 5__ 6_ 7_ 8_____ 9_____________ 10______ 11 12_________ 13_____ 14 15

Chunks:
  TruePositive nam [6,6] = zł (confidence=1.00)
  FalsePositive nam [9,10] = Międzynarodowy Festiwal (confidence=1.00)
  FalsePositive nam [12,13] = Wratislavia Cantans (confidence=0.83)
  FalseNegative nam [9,14] = Międzynarodowy Festiwal „ Wratislavia Cantans ”

(ChunkerEvaluator) Sentence #1854 from articles/00107778 from sent24

Text  : Nie wiadomo za to , jak ponad 6 , 9  mln zł podzielą między siebie Teatr Polski we Wrocławiu ,  Wrocławski Teatr Pantomimy i  Teatr Dramatyczny w  Wałbrzychu .
Tokens: 1__ 2______ 3_ 4_ 5 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] = zł (confidence=1.00)
  TruePositive nam [16,17] = Teatr Polski (confidence=1.00)
  TruePositive nam [19,19] = Wrocławiu (confidence=0.98)
  TruePositive nam [28,28] = Wałbrzychu (confidence=0.99)
  FalsePositive nam [21,26] = Wrocławski Teatr Pantomimy i Teatr Dramatyczny (confidence=1.00)
  FalseNegative nam [21,23] = Wrocławski Teatr Pantomimy
  FalseNegative nam [25,26] = Teatr Dramatyczny

(ChunkerEvaluator) Sentence #1868 from articles/00107778 from sent38

Text  : W tym roku w Filharmonii Wrocławskiej wystąpi cała polska czołówka :  Konstanty Andrzej Kulka ,  Piotr Paleczny ,  Krzysztof Jabłoński .
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 [5,6] = Filharmonii Wrocławskiej (confidence=1.00)
  TruePositive nam [16,17] = Piotr Paleczny (confidence=1.00)
  TruePositive nam [19,20] = Krzysztof Jabłoński (confidence=1.00)
  FalsePositive nam [12,14] = Konstanty Andrzej Kulka (confidence=0.96)
  FalseNegative nam [13,14] = Andrzej Kulka

2016-11-04 12:06:41,879 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 105 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107780.xml
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(ChunkerEvaluator) Sentence #1874 from articles/00107780 from sent2

Text  : Rząd wzmocnił prawa pacjentów
Tokens: 1___ 2_______ 3____ 4________

Chunks:
  FalseNegative nam [1,1] = Rząd

(ChunkerEvaluator) Sentence #1876 from articles/00107780 from sent4

Text  : Nowe przepisy zobowiązują lekarzy do zrozumiałego i wyczerpującego informowania chorych o  proponowanej metodzie leczenia -  podała agencja dpa .
Tokens: 1___ 2_______ 3__________ 4______ 5_ 6___________ 7 8_____________ 9___________ 10_____ 11 12__________ 13______ 14______ 15 16____ 17_____ 18_ 19

Chunks:
  FalseNegative nam [18,18] = dpa

(ChunkerEvaluator) Sentence #1878 from articles/00107780 from sent6

Text  : Rząd chce też zagwarantować większą transparentność w sprawach dotyczących błędów lekarskich .
Tokens: 1___ 2___ 3__ 4____________ 5______ 6______________ 7 8_______ 9__________ 10____ 11________ 12

Chunks:
  FalseNegative nam [1,1] = Rząd

2016-11-04 12:06:41,915 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 106 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107781.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107781.ini
(ChunkerEvaluator) Sentence #1885 from articles/00107781 from sent4

Text  : Według delegatury MSW Ukrainy w obwodzie lwowskim Woźnicki , który sam prowadził samochód służbowy ,  zasłabł za kierownicą ,  po czym jego pojazd wyjechał na przeciwny pas ruchu i  zderzył się z  nadjeżdżającym z  naprzeciwka autobusem .
Tokens: 1_____ 2_________ 3__ 4______ 5 6_______ 7_______ 8_______ 9 10___ 11_ 12_______ 13______ 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] = Woźnicki (confidence=0.99)
  FalsePositive nam [3,3] = MSW (confidence=1.00)
  FalsePositive nam [4,4] = Ukrainy (confidence=0.54)
  FalseNegative nam [3,4] = MSW Ukrainy

(ChunkerEvaluator) Sentence #1892 from articles/00107781 from sent11

Text  : W czasie wojny zbiory przetrzebili hitlerowcy ( wywożąc m .  in .  "  Autoportret "  Rembrandta )  ,  a  następnie konfiskowali je sowieci .
Tokens: 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] = Autoportret (confidence=0.59)
  TruePositive nam [16,16] = Rembrandta (confidence=0.98)
  FalseNegative nam [23,23] = sowieci

(ChunkerEvaluator) Sentence #1893 from articles/00107781 from sent12

Text  : Dzięki działalności Woźnickiego większość tych dzieł odzyskano .
Tokens: 1_____ 2___________ 3__________ 4________ 5___ 6____ 7________ 8

Chunks:
  FalseNegative nam [3,3] = Woźnickiego

(ChunkerEvaluator) Sentence #1896 from articles/00107781 from sent15

Text  : Zasługą Woźnickiego jest ocalenie tysięcy bezcennych zabytków wspólnego dziedzictwa kulturowego Polski i  Ukrainy ,  dzieł sztuki pochodzących z  zamykanych i  niszczonych w  czasach b  .  ZSRR cerkwi ,  kościołów cmentarzy ,  oraz zamków ,  pałaców i  dworów .
Tokens: 1______ 2__________ 3___ 4_______ 5______ 6_________ 7_______ 8________ 9__________ 10_________ 11____ 12 13_____ 14 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] = Polski (confidence=1.00)
  TruePositive nam [13,13] = Ukrainy (confidence=0.99)
  FalsePositive nam [1,2] = Zasługą Woźnickiego (confidence=0.51)
  FalseNegative nam [2,2] = Woźnickiego
  FalseNegative nam [26,26] = ZSRR

(ChunkerEvaluator) Sentence #1898 from articles/00107781 from sent17

Text  : Uratowane zabytki trafiły m . in . do Lwowskiej Galerii Sztuki oraz utworzonego przez Woźnickiego Muzeum Jana Jerzego Pinzla we Lwowie .
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 [9,11] = Lwowskiej Galerii Sztuki (confidence=1.00)
  TruePositive nam [21,21] = Lwowie (confidence=1.00)
  FalsePositive nam [15,19] = Woźnickiego Muzeum Jana Jerzego Pinzla (confidence=1.00)
  FalseNegative nam [15,15] = Woźnickiego
  FalseNegative nam [16,19] = Muzeum Jana Jerzego Pinzla

(ChunkerEvaluator) Sentence #1901 from articles/00107781 from sent20

Text  : W 2004 r . otrzymał tytuł doktora honoris causa Akademii Sztuk Pięknych w  Warszawie .
Tokens: 1 2___ 3 4 5_______ 6____ 7______ 8______ 9____ 10______ 11___ 12______ 13 14_______ 15

Chunks:
  TruePositive nam [10,12] = Akademii Sztuk Pięknych (confidence=1.00)
  TruePositive nam [14,14] = Warszawie (confidence=1.00)
  FalseNegative nam [7,9] = doktora honoris causa

(ChunkerEvaluator) Sentence #1902 from articles/00107781 from sent21

Text  : Woznicki odznaczony był także Krzyżem Komandorskim Orderu Odrodzenia Polski ,  uhonorowany złotym medalem Zasłużony Kulturze -  Gloria Artis ,  oraz wyróżniony odznaką Zasłużony dla Kultury 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

Chunks:
  TruePositive nam [1,1] = Woznicki (confidence=0.74)
  TruePositive nam [5,9] = Krzyżem Komandorskim Orderu Odrodzenia Polski (confidence=1.00)
  FalsePositive nam [14,15] = Zasłużony Kulturze (confidence=0.99)
  FalsePositive nam [17,18] = Gloria Artis (confidence=0.99)
  FalsePositive nam [25,26] = Kultury Polskiej (confidence=0.99)
  FalseNegative nam [14,18] = Zasłużony Kulturze - Gloria Artis
  FalseNegative nam [23,26] = Zasłużony dla Kultury Polskiej

(ChunkerEvaluator) Sentence #1904 from articles/00107781 from sent23

Text  : Studiował w Lwowskiej Szkole Sztuki Stosowanej , a potem w  Leningradzkim Instytucie Malarstwa ,  Rzeźby i  Architektury przy ASP ZSRR ,  otrzymując z  wyróżnieniem dyplom historyka sztuki .
Tokens: 1________ 2 3________ 4_____ 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 [3,6] = Lwowskiej Szkole Sztuki Stosowanej (confidence=1.00)
  TruePositive nam [19,20] = ASP ZSRR (confidence=0.97)
  FalsePositive nam [11,13] = Leningradzkim Instytucie Malarstwa (confidence=1.00)
  FalsePositive nam [15,17] = Rzeźby i Architektury (confidence=0.70)
  FalseNegative nam [11,17] = Leningradzkim Instytucie Malarstwa , Rzeźby i Architektury

2016-11-04 12:06:42,068 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 107 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107783.xml
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(ChunkerEvaluator) Sentence #1916 from articles/00107783 from sent9

Text  : " W wyborach prezydenckich we Francji kandydat Frontu Lewicowego (  Jean -  Luc Melenchon )  zdobył ponad 11 procent .
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] = Francji (confidence=1.00)
  TruePositive nam [11,14] = Jean - Luc Melenchon (confidence=1.00)
  FalsePositive nam [8,9] = Frontu Lewicowego (confidence=1.00)

(ChunkerEvaluator) Sentence #1940 from articles/00107783 from sent33

Text  : Lewica domaga się m . in . wysokich podatków dla najbogatszych ,  płacy minimalnej w  wysokości 10 euro za godzinę ,  wyższych zasiłków dla bezrobotnych ,  regulacji rynków finansowych oraz ograniczenia wpływów banków i  wielkich koncernów .
Tokens: 1_____ 2_____ 3__ 4 5 6_ 7 8_______ 9_______ 10_ 11___________ 12 13___ 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] = Lewica
  FalseNegative nam [18,18] = euro

(ChunkerEvaluator) Sentence #1942 from articles/00107783 from sent35

Text  : W Bundestagu partia ta ciągle jest izolowana .
Tokens: 1 2_________ 3_____ 4_ 5_____ 6___ 7________ 8

Chunks:
  FalseNegative nam [2,2] = Bundestagu

2016-11-04 12:06:42,363 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 108 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107785.xml
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(ChunkerEvaluator) Sentence #1945 from articles/00107785 from sent2

Text  : Caja Laboral Vitoria z Maciejem Lampem uległa w Madrycie Realowi 64 :  73 w  drugim meczu półfinałowym hiszpańskiej ekstraklasy koszykarzy ACB .
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] = Caja Laboral Vitoria (confidence=0.91)
  TruePositive nam [5,6] = Maciejem Lampem (confidence=1.00)
  TruePositive nam [21,21] = ACB (confidence=0.99)
  FalsePositive nam [9,10] = Madrycie Realowi (confidence=1.00)
  FalseNegative nam [9,9] = Madrycie
  FalseNegative nam [10,10] = Realowi

2016-11-04 12:06:42,433 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 109 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107786.xml
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(ChunkerEvaluator) Sentence #1957 from articles/00107786 from sent3

Text  : Na autostradzie A4 funkcjonariusze SC zatrzymali do kontroli dwa samochody ciężarowe .
Tokens: 1_ 2___________ 3_ 4______________ 5_ 6_________ 7_ 8_______ 9__ 10_______ 11_______ 12

Chunks:
  TruePositive nam [5,5] = SC (confidence=1.00)
  FalseNegative nam [3,3] = A4

2016-11-04 12:06:42,496 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 110 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107787.xml
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(ChunkerEvaluator) Sentence #1965 from articles/00107787 from sent1

Text  : & quot ; Piłka w grze & quot ; -  wystawa rysunku satyrycznego
Tokens: 1 2___ 3 4____ 5 6___ 7 8___ 9 10 11_____ 12_____ 13__________

Chunks:
  FalsePositive nam [4,4] = Piłka (confidence=0.98)
  FalseNegative nam [4,6] = Piłka w grze

(ChunkerEvaluator) Sentence #1966 from articles/00107787 from sent2

Text  : & quot ; Piłka w grze & quot ; -  taki tytuł nosił międzynarodowy konkurs na rysunek satyryczny o  tematyce związanej z  piłką nożną .
Tokens: 1 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 [4,4] = Piłka (confidence=0.98)
  FalseNegative nam [4,6] = Piłka w grze

(ChunkerEvaluator) Sentence #1981 from articles/00107787 from sent17

Text  : Wystawa jest elementem Akcji Społecznej " 2012 - Wszyscy jesteśmy gospodarzami "  prowadzonej przez PL .  2012 .
Tokens: 1______ 2___ 3________ 4____ 5_________ 6 7___ 8 9______ 10______ 11__________ 12 13_________ 14___ 15 16 17__ 18

Chunks:
  TruePositive nam [15,17] = PL . 2012 (confidence=1.00)
  FalsePositive nam [4,5] = Akcji Społecznej (confidence=1.00)
  FalseNegative nam [7,11] = 2012 - Wszyscy jesteśmy gospodarzami

2016-11-04 12:06:42,594 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 111 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107790.xml
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(ChunkerEvaluator) Sentence #1984 from articles/00107790 from sent2

Text  : GIEŁDA - SPÓŁKI - KOMUNIKAT - BUDIMEX
Tokens: 1_____ 2 3_____ 4 5________ 6 7______

Chunks:
  FalsePositive nam [5,7] = KOMUNIKAT - BUDIMEX (confidence=0.48)
  FalseNegative nam [7,7] = BUDIMEX

(ChunkerEvaluator) Sentence #1985 from articles/00107790 from sent3

Text  : Raport bieżący Bx / 101 / 02 Zarząd Budimex S  .  A  .  informuje ,  że w  dniu 29 .  11 .  2002 Budimex Dromex S  .  A  .  (  spółka zależna w  100 %  od Budimex S  .  A  .  )  podpisała kontrakt na :  budowę drogi do lotniska w  Katowicach Pyrzowice -  Podwarpie -  etap 1  ,  węzła Podwarpie i  remont drogi krajowej Nr 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

Chunks:
  TruePositive nam [8,13] = Zarząd Budimex S . A . (confidence=0.93)
  TruePositive nam [37,41] = Budimex S . A . (confidence=1.00)
  TruePositive nam [61,61] = Podwarpie (confidence=1.00)
  FalsePositive nam [3,3] = Bx (confidence=0.99)
  FalsePositive nam [24,28] = Budimex Dromex S . A (confidence=0.95)
  FalsePositive nam [52,55] = Katowicach Pyrzowice - Podwarpie (confidence=1.00)
  FalsePositive nam [66,67] = Nr 1 (confidence=0.98)
  FalseNegative nam [24,29] = Budimex Dromex S . A .
  FalseNegative nam [52,52] = Katowicach
  FalseNegative nam [53,53] = Pyrzowice
  FalseNegative nam [55,55] = Podwarpie

(ChunkerEvaluator) Sentence #1991 from articles/00107790 from sent9

Text  : Warunki finansowe - zaliczka 7 . 860 . 241 ,  54 zł .  ,  zwrot zaliczki -  potrącanie z  Przejściowych Świadectw Płatnosci zgodnie z  harmonogramem od zaawansowania robót 15 %  (  5  %  )  ,  koniec :  65 %  (  100 %  )  .
Tokens: 1______ 2________ 3 4_______ 5 6 7__ 8 9__ 10 11 12 13 14 15___ 16______ 17 18________ 19 20___________ 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 [12,12] = zł (confidence=0.90)
  FalsePositive nam [20,22] = Przejściowych Świadectw Płatnosci (confidence=0.99)

(ChunkerEvaluator) Sentence #1992 from articles/00107790 from sent10

Text  : Warunki płatności - Przejściowe Świadectwo Płatności , wystawiane co miesiąc jeżeli min .  wartość robót do zafakturowania osiągnie 500 .  000 EUR .
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] = EUR (confidence=0.56)
  FalsePositive nam [4,6] = Przejściowe Świadectwo Płatności (confidence=0.97)

(ChunkerEvaluator) Sentence #1993 from articles/00107790 from sent11

Text  : Termin płatności - 60 dni roboczych od dostarczenia Przejściowego ,  a  45 dni roboczych Końcowego Świadectwa Płatności ,  Kaucja gwarancyjna -  5  %  ceny kontraktu (  potrącana po 10 %  z  Przejściowych Świadectw Płatności )  .
Tokens: 1_____ 2________ 3 4_ 5__ 6________ 7_ 8___________ 9____________ 10 11 12 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 [9,9] = Przejściowego (confidence=0.74)
  FalsePositive nam [15,17] = Końcowego Świadectwa Płatności (confidence=1.00)
  FalsePositive nam [19,19] = Kaucja (confidence=0.66)
  FalsePositive nam [32,34] = Przejściowych Świadectw Płatności (confidence=0.99)

(ChunkerEvaluator) Sentence #1996 from articles/00107790 from sent14

Text  : Kary umowne : - płacone przez Wykonawcę - za niedotrzymanie czasu wykonania 0  ,  05 %  do max .  10 %  ceny kontraktu w  EUR .  -  płacone przez Zamawiającego :  a  )  za opóźnienie w  przekazaniu rysunków lub instrukcji i  placu budowy -  dodanie do ceny kontraktowej ustalonej kwoty (  w  porozumieniu z  Zamawiającym )  wynikającej z  kosztów poniesionych z  tego tytułu przez Wykonawcę .
Tokens: 1___ 2_____ 3 4 5______ 6____ 7________ 8 9_ 10____________ 11___ 12_______ 13 14 15 16 17 18_ 19 20 21 22__ 23_______ 24 25_ 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 [25,25] = EUR (confidence=0.98)
  FalsePositive nam [7,7] = Wykonawcę (confidence=0.98)
  FalsePositive nam [30,30] = Zamawiającego (confidence=0.74)
  FalsePositive nam [55,55] = Zamawiającym (confidence=0.98)
  FalsePositive nam [65,65] = Wykonawcę (confidence=0.99)

2016-11-04 12:06:42,706 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 112 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107791.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107791.ini
(ChunkerEvaluator) Sentence #2000 from articles/00107791 from sent2

Text  : Raport UNICEF : W Polsce 1 , 3 miliona dzieci nie ma tego ,  co im jest niezbędne do prawidłowego rozwoju .
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] = UNICEF (confidence=0.55)
  FalsePositive nam [4,5] = W Polsce (confidence=0.60)
  FalseNegative nam [5,5] = Polsce

(ChunkerEvaluator) Sentence #2014 from articles/00107791 from sent16

Text  : A nikt nie myśli o innej sferze - wykluczenia -  tłumaczy Ewa Falkowska z  UNICEF Polska .
Tokens: 1 2___ 3__ 4____ 5 6____ 7_____ 8 9__________ 10 11______ 12_ 13_______ 14 15____ 16____ 17

Chunks:
  TruePositive nam [12,13] = Ewa Falkowska (confidence=1.00)
  FalsePositive nam [15,15] = UNICEF (confidence=0.96)
  FalsePositive nam [16,16] = Polska (confidence=0.86)
  FalseNegative nam [15,16] = UNICEF Polska

(ChunkerEvaluator) Sentence #2028 from articles/00107791 from sent30

Text  : W Polsce - prawie 1 , 3 mln .
Tokens: 1 2_____ 3 4_____ 5 6 7 8__ 9

Chunks:
  FalsePositive nam [1,2] = W Polsce (confidence=1.00)
  FalseNegative nam [2,2] = Polsce

(ChunkerEvaluator) Sentence #2031 from articles/00107791 from sent33

Text  : Nietrudno zgadnąć , że w najlepszej sytuacji są dzieci w  krajach skandynawskich i  Islandii .
Tokens: 1________ 2______ 3 4_ 5 6_________ 7_______ 8_ 9_____ 10 11_____ 12____________ 13 14______ 15

Chunks:
  TruePositive nam [14,14] = Islandii (confidence=1.00)
  FalseNegative nam [12,12] = skandynawskich

(ChunkerEvaluator) Sentence #2042 from articles/00107791 from sent44

Text  : - W Polsce mamy jeden z najniższych odsetków pracujących matek -  przypomina Falkowska .
Tokens: 1 2 3_____ 4___ 5____ 6 7__________ 8_______ 9__________ 10___ 11 12________ 13_______ 14

Chunks:
  TruePositive nam [13,13] = Falkowska (confidence=1.00)
  FalsePositive nam [2,3] = W Polsce (confidence=1.00)
  FalseNegative nam [3,3] = Polsce

2016-11-04 12:06:42,876 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 113 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107793.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107793.ini
(ChunkerEvaluator) Sentence #2050 from articles/00107793 from sent2

Text  : Luksusowy hotel Renaissance powstaje naprzeciw wyjścia z Terminala 2 lotniska na Okęciu .
Tokens: 1________ 2____ 3__________ 4_______ 5________ 6______ 7 8________ 9 10______ 11 12____ 13

Chunks:
  TruePositive nam [3,3] = Renaissance (confidence=0.96)
  TruePositive nam [12,12] = Okęciu (confidence=1.00)
  FalsePositive nam [8,8] = Terminala (confidence=0.99)
  FalseNegative nam [8,9] = Terminala 2

(ChunkerEvaluator) Sentence #2055 from articles/00107793 from sent7

Text  : Zaprojektowany przez pracownię JEMS Architekci budynek będzie mieć ciemnografitową elewację .
Tokens: 1_____________ 2____ 3________ 4___ 5_________ 6______ 7_____ 8___ 9______________ 10______ 11

Chunks:
  FalsePositive nam [4,5] = JEMS Architekci (confidence=1.00)
  FalseNegative nam [4,4] = JEMS

(ChunkerEvaluator) Sentence #2057 from articles/00107793 from sent9

Text  : Znajdzie się w nim 225 pokoi , 5 sal konferencyjnych ,  restauracje i  bar ,  a  także basen ,  centrum fitness i  SPA .
Tokens: 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] = SPA (confidence=0.99)

(ChunkerEvaluator) Sentence #2058 from articles/00107793 from sent10

Text  : Budynek powstaje na trzykondygnacyjnym parkingu naprzeciwko Terminala 2 .
Tokens: 1______ 2_______ 3_ 4_________________ 5_______ 6__________ 7________ 8 9

Chunks:
  FalsePositive nam [7,7] = Terminala (confidence=0.98)
  FalseNegative nam [7,8] = Terminala 2

2016-11-04 12:06:42,918 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 114 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107796.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107796.ini
(ChunkerEvaluator) Sentence #2074 from articles/00107796 from sent11

Text  : Asseco Prokom Gdynia przegrał z Treflem Sopot 71 : 76 (  15 :  18 ,  20 :  16 ,  20 :  19 ,  16 :  23 )  w  piątym meczu finału mistrzostw Polski koszykarzy .
Tokens: 1_____ 2_____ 3_____ 4_______ 5 6______ 7____ 8_ 9 10 11 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 [1,3] = Asseco Prokom Gdynia (confidence=0.99)
  TruePositive nam [6,7] = Treflem Sopot (confidence=1.00)
  FalsePositive nam [32,33] = mistrzostw Polski (confidence=0.91)
  FalseNegative nam [32,34] = mistrzostw Polski koszykarzy

(ChunkerEvaluator) Sentence #2079 from articles/00107796 from sent16

Text  : Marzena Karpińska ( Znicz Biłgoraj ) wywalczyła złoty medal w  kategorii 48 kg w  rozpoczętych w  sobotę w  Piekarach Śląskich mistrzostwach Polski w  podnoszeniu ciężarów 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

Chunks:
  TruePositive nam [1,2] = Marzena Karpińska (confidence=1.00)
  TruePositive nam [4,5] = Znicz Biłgoraj (confidence=1.00)
  FalsePositive nam [19,22] = Piekarach Śląskich mistrzostwach Polski (confidence=1.00)
  FalseNegative nam [19,20] = Piekarach Śląskich
  FalseNegative nam [21,22] = mistrzostwach Polski

(ChunkerEvaluator) Sentence #2082 from articles/00107796 from sent19

Text  : Adam Małysz z pilotem Rafałem Martonem jadący Mitsubishi L200 wygrali w  sobotę czwarty ,  ostatni odcinek specjalny (  Rocchetta 2  ,  25 ,  4  km )  rajdu terenowego Baja Puglia &  Lucania i  awansowali w  klasyfikacji generalnej na 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 23 24 25 26 27___ 28________ 29__ 30____ 31 32_____ 33 34________ 35 36__________ 37________ 38 39____ 40_____ 41

Chunks:
  TruePositive nam [1,2] = Adam Małysz (confidence=1.00)
  TruePositive nam [5,6] = Rafałem Martonem (confidence=1.00)
  TruePositive nam [19,19] = Rocchetta (confidence=0.99)
  FalsePositive nam [8,9] = Mitsubishi L200 (confidence=0.99)
  FalsePositive nam [29,30] = Baja Puglia (confidence=0.99)
  FalsePositive nam [32,32] = Lucania (confidence=0.67)
  FalseNegative nam [8,8] = Mitsubishi
  FalseNegative nam [9,9] = L200
  FalseNegative nam [29,32] = Baja Puglia & Lucania

(ChunkerEvaluator) Sentence #2084 from articles/00107796 from sent21

Text  : Obrońca tytułu mistrzowskiego Kajetan Kajetanowicz ( Subaru Impreza ) wygrał ostatnią próbę pierwszego dnia w  27 .
Tokens: 1______ 2_____ 3_____________ 4______ 5___________ 6 7_____ 8______ 9 10____ 11______ 12___ 13________ 14__ 15 16 17

Chunks:
  TruePositive nam [4,5] = Kajetan Kajetanowicz (confidence=1.00)
  FalsePositive nam [7,8] = Subaru Impreza (confidence=0.92)
  FalseNegative nam [7,7] = Subaru
  FalseNegative nam [8,8] = Impreza

(ChunkerEvaluator) Sentence #2090 from articles/00107796 from sent27

Text  : Anita Włodarczyk ( Skra Warszawa ) zajęła drugie miejsce w  rzucie młotem w  mityngu Diamentowej Ligi w  amerykańskim Eugene .
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] = Anita Włodarczyk (confidence=1.00)
  TruePositive nam [4,5] = Skra Warszawa (confidence=0.99)
  TruePositive nam [19,19] = Eugene (confidence=1.00)
  FalsePositive nam [14,16] = mityngu Diamentowej Ligi (confidence=0.91)
  FalseNegative nam [15,16] = Diamentowej Ligi

(ChunkerEvaluator) Sentence #2091 from articles/00107796 from sent28

Text  : Polka przegrała jedynie o 33 cm z rekordzistką świata Niemką Betty Heidler ,  a  wynik 75 ,  60 jest jej najlepszym w  sezonie .
Tokens: 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] = Polka (confidence=0.98)
  FalsePositive nam [10,12] = Niemką Betty Heidler (confidence=0.99)
  FalseNegative nam [10,10] = Niemką
  FalseNegative nam [11,12] = Betty Heidler

(ChunkerEvaluator) Sentence #2093 from articles/00107796 from sent30

Text  : Szkot Paul Lambert został trenerem klubu Premier League Aston Villa -  poinformowano w  sobotę na stronie drużyny z  Birmingham .
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] = Paul Lambert (confidence=0.97)
  TruePositive nam [19,19] = Birmingham (confidence=1.00)
  FalsePositive nam [7,10] = Premier League Aston Villa (confidence=1.00)
  FalseNegative nam [1,1] = Szkot
  FalseNegative nam [7,8] = Premier League
  FalseNegative nam [9,10] = Aston Villa

(ChunkerEvaluator) Sentence #2096 from articles/00107796 from sent33

Text  : Bośniak Vladimir Petkovic został trenerem piłkarzy Lazio Rzym , zespołu występującego we włoskiej Serie A  .
Tokens: 1______ 2_______ 3_______ 4_____ 5_______ 6_______ 7____ 8___ 9 10_____ 11___________ 12 13______ 14___ 15 16

Chunks:
  TruePositive nam [2,3] = Vladimir Petkovic (confidence=0.98)
  TruePositive nam [7,8] = Lazio Rzym (confidence=1.00)
  FalsePositive nam [14,15] = Serie A (confidence=1.00)
  FalseNegative nam [1,1] = Bośniak

2016-11-04 12:06:43,070 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 115 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107800.xml
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(ChunkerEvaluator) Sentence #2103 from articles/00107800 from sent3

Text  : Przed godz . 9 . na ul . Wronieckiej toyota corolla potrąciła rowerzystę .
Tokens: 1____ 2___ 3 4 5 6_ 7_ 8 9__________ 10____ 11_____ 12_______ 13________ 14

Chunks:
  TruePositive nam [9,9] = Wronieckiej (confidence=1.00)
  FalseNegative nam [10,10] = toyota
  FalseNegative nam [11,11] = corolla

(ChunkerEvaluator) Sentence #2107 from articles/00107800 from sent7

Text  : Potrącił go 40 - letni kierowca toyoty .
Tokens: 1_______ 2_ 3_ 4 5____ 6_______ 7_____ 8

Chunks:
  FalseNegative nam [7,7] = toyoty

(ChunkerEvaluator) Sentence #2113 from articles/00107800 from sent13

Text  : Potrącił ją młody kierowca fordzie fiesty .
Tokens: 1_______ 2_ 3____ 4_______ 5______ 6_____ 7

Chunks:
  FalseNegative nam [5,5] = fordzie
  FalseNegative nam [6,6] = fiesty

2016-11-04 12:06:43,097 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 116 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107801.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107801.ini
(ChunkerEvaluator) Sentence #2115 from articles/00107801 from sent2

Text  : FUNDUSZE - ZESTAWIENIE - TABELA
Tokens: 1_______ 2 3__________ 4 5_____

Chunks:
  FalsePositive nam [1,5] = FUNDUSZE - ZESTAWIENIE - TABELA (confidence=0.93)

(ChunkerEvaluator) Sentence #2116 from articles/00107801 from sent3

Text  : Brak : ING i PKO FUNDUSZ 02 - 12 29 -  11 Zmiana 3  )  dzienna %
Tokens: 1___ 2 3__ 4 5__ 6______ 7_ 8 9_ 10 11 12 13____ 14 15 16_____ 17

Chunks:
  FalsePositive nam [5,6] = PKO FUNDUSZ (confidence=0.99)
  FalsePositive nam [13,14] = Zmiana 3 (confidence=0.74)
  FalseNegative nam [3,3] = ING
  FalseNegative nam [5,5] = PKO

(ChunkerEvaluator) Sentence #2117 from articles/00107801 from sent4

Text  : ARKA 3 Zrównoważony FIO 1 ) 11 , 33 11 ,  36 -  0  ,  26 2  )  11 ,  80 11 ,  83 ARKA 1  Akcji FIO 1  )  10 ,  57 10 ,  61 -  0  ,  38 2  )  11 ,  01 11 ,  05 ARKA 2  OK FIO 1  )  17 ,  66 17 ,  66 0  ,  00 2  )  17 ,  93 17 ,  93 ARKA Obligacji FIO 1  )  10 ,  49 10 ,  48 0  ,  10 2  )  10 ,  49 10 ,  48 CA -  IB SFIO (  pieniężny )   1   )   1649 ,   53  1648 ,   66  0   ,   05  2   )   1649 ,   53  1648 ,   66  CA  -   IB  FIO (   akcji )   1   )   126 ,   17  126 ,   33  -   0   ,   13  2   )   130 ,   07  130 ,   24  CA  -   IB  FIO (   obligacji )   1   )   149 ,   51  149 ,   48  0   ,   02  2   )   150 ,   26  150 ,   23  CA  -   IB  OFI TOP AMERYKA 1   )   60  ,   16  60  ,   06  0   ,   17  2   )   62  ,   67  62  ,   56  CA  -   IB  OFI TOP EUROPA 1   )   62  ,   52  62  ,   69  -   0   ,   27  2   )   65  ,   13  65  ,   30  CA  -   IB  SFIO Aktyw .
Tokens: 1___ 2 3___________ 4__ 5 6 7_ 8 9_ 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25__ 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

Chunks:
  TruePositive nam [1,1] = ARKA (confidence=0.78)
  TruePositive nam [4,4] = FIO (confidence=1.00)
  TruePositive nam [49,49] = ARKA (confidence=0.96)
  TruePositive nam [94,97] = CA - IB SFIO (confidence=0.88)
  TruePositive nam [120,123] = CA - IB FIO (confidence=0.74)
  TruePositive nam [147,150] = CA - IB FIO (confidence=0.96)
  FalsePositive nam [25,28] = ARKA 1 Akcji FIO (confidence=0.93)
  FalsePositive nam [51,53] = OK FIO 1 (confidence=0.79)
  FalsePositive nam [72,74] = ARKA Obligacji FIO (confidence=0.99)
  FalsePositive nam [173,179] = CA - IB OFI TOP AMERYKA 1 (confidence=0.60)
  FalsePositive nam [198,204] = CA - IB OFI TOP EUROPA 1 (confidence=0.84)
  FalsePositive nam [227,228] = SFIO Aktyw (confidence=0.88)
  FalseNegative nam [25,25] = ARKA
  FalseNegative nam [28,28] = FIO
  FalseNegative nam [52,52] = FIO
  FalseNegative nam [72,72] = ARKA
  FalseNegative nam [74,74] = FIO
  FalseNegative nam [173,176] = CA - IB OFI
  FalseNegative nam [177,178] = TOP AMERYKA
  FalseNegative nam [202,203] = TOP EUROPA
  FalseNegative nam [224,227] = CA - IB SFIO

(ChunkerEvaluator) Sentence #2119 from articles/00107801 from sent6

Text  : 1 ) 1 , 0927 1 , 0901 0 ,  24 2  )  1  ,  1265 1  ,  0901 CU FIO Depozyt Plus 1  )  107 ,  19 107 ,  14 0  ,  05 2  )  108 ,  27 108 ,  22 CU FIO Obligacji 1  )  114 ,  00 113 ,  87 0  ,  11 2  )  116 ,  33 116 ,  19 CU FIO Polskich Akcji 1  )  111 ,  85 112 ,  44 -  0  ,  52 2  )  117 ,  12 117 ,  74 CU SFIO SI PPE 1  )  113 ,  29 113 ,  42  -   0   ,   11  2   )   115 ,   60  115 ,   73  SEB1 (   zrównoważony )   1   )   125 ,   30  125 ,   59  -   0   ,   23  2   )   130 ,   52  130 ,   82  SEB2 (   obligacji i   bonów )   1   )   178 ,   38  178 ,   12  0   ,   15  2   )   178 ,   38  178 ,   12  SEB3 (   akcji )   1   )   107 ,   87  108 ,   61  -   0   ,   68  2   )   112 ,   36  113 ,   14  SEB4 (   stabilnego wzrostu )   1   )   138 ,   52  138 ,   46  0   ,   04  2   )   138 ,   52  138 ,   46  SEB5 (   rynku pieniężnego )   1   )   124 ,   72  124 ,   66  0   ,   05  2   )   125 ,   35  125 ,   29  PBK ATUT 1   1   )   9   ,   05  9   ,   06  -   0   ,   11  PBK ATUT 2   1   )   21  ,   18  21  ,   16  0   ,   09  PBK ATUT 3   1   )   5   ,   11  5   ,   12  -   0   ,   20  PBK ATUT 4   1   )   5   ,   23  5   ,   25  -   0   ,   38  PBK 60  plus 1   )   11  ,   68  11  ,   68  0   ,   00  PBK ATUT 5   1   )   112 ,   33  112 ,   31  0   ,   02  2   )   112 ,   87  112 ,   87  DWS (   zrównoważony )   1   )   194 ,   49  194 ,   92  -   0   ,   22  2   )   202 ,   27  202 ,   72  DWS (   dpw )   1   )   189 ,   75  189 ,   70  0   ,   03  2   )   190 ,   70  190 ,   65  DWS (   akcji )   1   )   187 ,   92  188 ,   29  -   0   ,   20  2   )   197 ,   32  197 ,   70  DWS (   akcji plus )   1   )   85  ,   58  86  ,   00  -   0   ,   49  2   )   85  ,   58  86  ,   00  DWS (   pieniężny )   1   )   149 ,   99  149 ,   90  0   ,   06  2   )   149 ,   99  149 ,   90  DWS (   emerytalny )   1   )   13  ,   69  13  ,   71  -   0   ,   15  2   )   14  ,   03  14  ,   05  DWS SFIO (   euroobligacji )   1   )   1262 ,   57  1254 ,   88  0   ,   61  2   )   1262 ,   57  1254 ,   88  DWS (   pieniężny plus )   1   )   133 ,   88  133 ,   80  0   ,   06  2   )   133 ,   88  133 ,   80  DWS Top -   50Europa 1   )   69  ,   77  69  ,   45  0   ,   46  2   )   73  ,   26  72  ,   92  DWS Konwergencji 1   )   100 ,   36  100 ,   61  -   0   ,   25  2   )   100 ,   36  100 ,   61  DWS Top -   25  Małych Spółek 1   )   102 ,   20  100 ,   99  1   ,   20  2   )   107 ,   31  106 ,   04  INVESCO ZFIO 1   )   96  ,   63  97  ,   16  -   0   ,   55  2   )   100 ,   66  101 ,   21  INVESCO Akcji OFI 1   )   7   ,   19  7   ,   25  -   0   ,   83  2   )   7   ,   49  7   ,   55  INVESCO ZPD FIO 1   )   10  ,   49  10  ,   43  0   ,   58  2   )   10  ,   70  10  ,   64  INVESCO PD  OFI 1   )   17  ,   31  17  ,   32  -   0   ,   06  2   )   17  ,   40  17  ,   41  GTFI Skarbowy RP  1   )   132 ,   91  132 ,   84  0   ,   05  GTFI SFIO Premium PK  1   )   134 ,   42  134 ,   35  0   ,   05  GTFI FIO OS  1   )   147 ,   64  147 ,   41  0   ,   16  2   )   149 ,   13  148 ,   90  GTFI Salomon FIO AAA 1   )   99  ,   46  99  ,   47  -   0   ,   01  2   )   102 ,   01  102 ,   02  KB  Akcja FIO 1   )   108 ,   26  108 ,   67  -   0   ,   38  2   )   111 ,   51  111 ,   93  KB  Pieniądz FIO 1   )   103 ,   58  103 ,   62  -   0   ,   04  2   )   104 ,   41  104 ,   45  KB  Obligacja FIO 1   )   104 ,   76  104 ,   72  0   ,   04  2   )   106 ,   33  106 ,   29  UniKORONA (   zrównoważony )   1   )   121 ,   40  122 ,   11  -   0   ,   58  2   )   127 ,   79  128 ,   54  UniKORONA (   pieniężny )   1   )   108 ,   62  108 ,   55  0   ,   06  2   )   108 ,   62  108 ,   55  UniKORONA (   akcji )   1   )   59  ,   85  60  ,   16  -   0   ,   52  2   )   63  ,   00  63  ,   33  UniGLOBAL 1   )   19  ,   21  19  ,   12  0   ,   47  2   )   20  ,   22  20  ,   13  UniXXI Wiek 1   )   76  ,   83  76  ,   84  -   0   ,   01  2   )   80  ,   87  80  ,   88  UniKORONA (   obligacje )   1   )   162 ,   44  162 ,   43  0   ,   01  2   )   164 ,   08  164 ,   07  UniDynamic Europa 1   )   24  ,   30  24  ,   26  0   ,   16  2   )   25  ,   85  25  ,   54  PIONEER Zrównoważony 1   )   106 ,   00  106 ,   64  -   0   ,   60  2   )   110 ,   99  111 ,    66   PIONEER WPW  1    )    29   ,    82   29   ,    84   -    0    ,    07   2    )    30   ,    02   30   ,    04   PIONEER AI   1    )    18   ,    95   19   ,    13   -    0    ,    94   2    )    19   ,    84   20   ,    03   PIONEER SU   1    )    4    ,    16   4    ,    18   -    0    ,    48   2    )    4    ,    36   4    ,    38   PIONEER AA   1    )    64   ,    24   64   ,    16   0    ,    12   2    )    67   ,    27   67   ,    18   PIONEER P    1    )    113  ,    79   113  ,    73   0    ,    05   2    )    113  ,    79   113  ,    73   PIONEER Zrównoważony Plus 1    )    157  ,    22   158  ,    03   -    0    ,    51   2    )    164  ,    63   165  ,    48   PIONEER Akcji 1    )    87   ,    90   88   ,    77   -    0    ,    98   2    )    92   ,    04   92   ,    95   PIONEER Obligacji 1    )    214  ,    91   215  ,    11   -    0    ,    09   2    )    220  ,    42   220  ,    63   PIONEER Indeksowy 1    )    87   ,    69   88   ,    78   -    1    ,    23   2    )    91   ,    82   92   ,    96   PIONEER SFIO TP   1    )    11   ,    90   11   ,    94   -    0    ,    34   2    )    11   ,    90   11   ,    94   PIONEER Oblig .
Tokens: 1 2 3 4 5___ 6 7 8___ 9 10 11 12 13 14 15 16__ 17 18 19__ 20 21_ 22_____ 23__ 24 25 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_ 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279_ 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295_ 296 297 298 299 300 301 302 303 304 305 306 307 308_ 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331_________ 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378__ 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402__ 403_ 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427______ 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450_______ 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473_ 474 475__________ 476 477 478 479_ 480 481 482_ 483 484 485 486 487 488 489 490_ 491 492 493_ 494 495 496 497 498______ 499_ 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523_____ 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544_________ 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569___ 570___ 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590____ 591_ 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612____ 613__ 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635____ 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657____ 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680_ 681_____ 682 683 684 685 686 687 688 689 690 691 692 693 694_ 695_ 696____ 697 698 699 700 701 702 703 704 705 706 707 708 709_ 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731_ 732____ 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756__ 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779_____ 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802______ 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823______ 824 825_________ 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847______ 848 849______ 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870______ 871 872__ 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894______ 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914___ 915_ 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936______ 937 938______ 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959_______ 960___ 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979 980____ 981_________ 982 983 984 985 986 987 988 989 990 991 992 993 994 995 996 997 998 999 1000 1001 1002___ 1003 1004 1005 1006 1007 1008 1009 1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024___ 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046___ 1047 1048 1049 1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068___ 1069 1070 1071 1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089___ 1090 1091 1092 1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110___ 1111________ 1112 1113 1114 1115 1116 1117 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133___ 1134_ 1135 1136 1137 1138 1139 1140 1141 1142 1143 1144 1145 1146 1147 1148 1149 1150 1151 1152 1153 1154 1155___ 1156_____ 1157 1158 1159 1160 1161 1162 1163 1164 1165 1166 1167 1168 1169 1170 1171 1172 1173 1174 1175 1176 1177___ 1178_____ 1179 1180 1181 1182 1183 1184 1185 1186 1187 1188 1189 1190 1191 1192 1193 1194 1195 1196 1197 1198 1199___ 1200 1201 1202 1203 1204 1205 1206 1207 1208 1209 1210 1211 1212 1213 1214 1215 1216 1217 1218 1219 1220 1221 1222___ 1223_ 1224

Chunks:
  FalseNegative nam [20,21] = CU FIO
  FalseNegative nam [43,44] = CU FIO
  FalseNegative nam [65,66] = CU FIO
  FalseNegative nam [89,92] = CU SFIO SI PPE
  FalseNegative nam [113,113] = SEB1
  FalseNegative nam [137,137] = SEB2
  FalseNegative nam [162,162] = SEB3
  FalseNegative nam [186,186] = SEB4
  FalseNegative nam [210,210] = SEB5
  FalseNegative nam [234,235] = PBK ATUT
  FalseNegative nam [249,250] = PBK ATUT
  FalseNegative nam [263,264] = PBK ATUT
  FalseNegative nam [278,279] = PBK ATUT
  FalseNegative nam [293,293] = PBK
  FalseNegative nam [307,308] = PBK ATUT
  FalseNegative nam [329,329] = DWS
  FalseNegative nam [353,353] = DWS
  FalseNegative nam [376,376] = DWS
  FalseNegative nam [400,400] = DWS
  FalseNegative nam [425,425] = DWS
  FalseNegative nam [448,448] = DWS
  FalseNegative nam [472,473] = DWS SFIO
  FalseNegative nam [496,496] = DWS
  FalseNegative nam [520,523] = DWS Top - 50Europa
  FalseNegative nam [543,543] = DWS
  FalseNegative nam [565,570] = DWS Top - 25 Małych Spółek
  FalseNegative nam [590,591] = INVESCO ZFIO
  FalseNegative nam [612,612] = INVESCO
  FalseNegative nam [614,614] = OFI
  FalseNegative nam [635,637] = INVESCO ZPD FIO
  FalseNegative nam [657,659] = INVESCO PD OFI
  FalseNegative nam [680,682] = GTFI Skarbowy RP
  FalseNegative nam [694,695] = GTFI SFIO
  FalseNegative nam [696,697] = Premium PK
  FalseNegative nam [709,711] = GTFI FIO OS
  FalseNegative nam [731,734] = GTFI Salomon FIO AAA
  FalseNegative nam [755,755] = KB
  FalseNegative nam [757,757] = FIO
  FalseNegative nam [778,780] = KB Pieniądz FIO
  FalseNegative nam [801,803] = KB Obligacja FIO
  FalseNegative nam [823,823] = UniKORONA
  FalseNegative nam [847,847] = UniKORONA
  FalseNegative nam [870,870] = UniKORONA
  FalseNegative nam [894,894] = UniGLOBAL
  FalseNegative nam [914,915] = UniXXI Wiek
  FalseNegative nam [936,936] = UniKORONA
  FalseNegative nam [959,960] = UniDynamic Europa
  FalseNegative nam [980,980] = PIONEER
  FalseNegative nam [1002,1003] = PIONEER WPW
  FalseNegative nam [1024,1025] = PIONEER AI
  FalseNegative nam [1046,1047] = PIONEER SU
  FalseNegative nam [1068,1069] = PIONEER AA
  FalseNegative nam [1089,1090] = PIONEER P
  FalseNegative nam [1110,1110] = PIONEER
  FalseNegative nam [1133,1133] = PIONEER
  FalseNegative nam [1155,1155] = PIONEER
  FalseNegative nam [1177,1177] = PIONEER
  FalseNegative nam [1199,1201] = PIONEER SFIO TP

(ChunkerEvaluator) Sentence #2121 from articles/00107801 from sent8

Text  : 1 ) 39 , 57 39 , 39 0 ,  46 2  )  40 ,  17 39 ,  99 PIONEER Oblig .
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 [20,21] = PIONEER Oblig (confidence=0.92)
  FalseNegative nam [20,20] = PIONEER

(ChunkerEvaluator) Sentence #2123 from articles/00107801 from sent10

Text  : Plus 1 ) 43 , 09 42 , 93 0  ,  37 2  )  44 ,  19 44 ,  03 PZU POLONEZ (  dp )  1  )  78 ,  15 78 ,  09 0  ,  08 2  )  78 ,  54 78 ,  48 PZU KRAKOWIAK (  akcji )  1  )  55 ,  95 56 ,  25 -  0  ,  53 2  )  58 ,  59 58 ,  90 PZU MAZUREK (  sw )  1  )  72 ,  47 72 ,  57 -  0  ,  14 2  )  75 ,  88 75 ,  99 SKARBIEC Kasa 1  )  203 ,   67  203 ,   57  0   ,   05  2   )   203 ,   67  203 ,   57  SKARBIEC Waga 1   )   139 ,   94  140 ,   63  -   0   ,   49  2   )   148 ,   08  148 ,   81  SKARBIEC Akcja 1   )   96  ,   59  97  ,   32  -   0   ,   75  2   )   102 ,   21  102 ,   98  SKARBIEC Obligacja 1   )   170 ,   61  170 ,   66  -   0   ,   03  2   )   170 ,   61  170 ,   66  SKARBIEC NET 1   )   529 ,   78  530 ,   28  -   0   ,   09  2   )   543 ,   36  543 ,   88  SKARBIEC III Filar 1   )   74  ,   97  75  ,   26  -   0   ,   39  2   )   79  ,   33  79  ,   64  SKARBIEC Dolarowa Obligacja 1   )   102 ,   82  102 ,   24  0   ,   57  2   )   102 ,   82  102 ,   24  wycena w   USD 1   )   25  ,   6550 25  ,   6466 0   ,   03  2   )   25  ,   6550 25  ,   6466 SKARBIEC Kasa Plus 1   )   1052 ,   94  1052 ,   19  0   ,   07  2   )   1052 ,   94  1052 ,   19  SKARBIEC Obligacja Plus 1   )   104 ,   32  104 ,   25  0   ,   07  2   )   104 ,   32  104 ,   25  WARTA GAMMA SFIO 1   )   124 ,   18  124 ,   11  0   ,   06  2   )   124 ,   18  124 ,   11  WARTA PD  FIO 1   )   113 ,   93  113 ,   89  0   ,   04  2   )   115 ,   08  115 ,   04  WARTA III FILAR FIO 1   )   110 ,   64  111 ,   05  -   0   ,   37  2   )   111 ,   76  112 ,   17  CITI FIO (   zrównoważony )   A   1   )   131 ,   55  131 ,   90  -   0   ,   27  2   )   137 ,   03  137 ,   40  CITI FIO (   zrównoważony )   B   1   )   131 ,   55  131 ,   90  -   0   ,   27  2   )   131 ,   55  131 ,   90  CITI FIO (   akcji )   A   1   )   111 ,   73  112 ,   18  -   0   ,   40  2   )   116 ,   39  116 ,   85  CITI FIO (   akcji )   B   1   )   111 ,   73  112 ,   18  -   0   ,   40  2   )   111 ,   73  112 ,   18  CITI FIO (   obligacji )   A   1   )   161 ,   00  160 ,   88  0   ,   07  2   )   161 ,   00  160 ,   88  CITI FIO (   obligacji )   B   1   )   161 ,   00  160 ,   88  0   ,   07  2   )   160 ,   00  160 ,   88  CITI FIO (   pieniężny )   A   1   )   161 ,   95  161 ,   83  0   ,   07  2   )   161 ,   95  161 ,   83  CITI FIO (   pieniężny )   B   1   )   161 ,   95  161 ,   83  0   ,   07  2   )   161 ,   95  161 ,   83  CITI SENIOR SFIO 1   )   145 ,   72  145 ,   78  -   0   ,   04  2   )   148 ,   09  148 ,   15  CITI SFIO (   płynnościowy )   1   )   101692 ,   53  101630 ,   57  0   ,   06  2   )   101692 ,   53  101630 ,   57  MILLENNIUM (   zrównoważony )   1   )   106 ,   02  106 ,   25  -   0   ,   22  2   )   106 ,   02  106 ,   25  MILLENNIUM (   akcji )   1   )   103 ,   14  103 ,   52  -   0   ,   37  2   )   103 ,   14  103 ,   52  MILLENNIUM (   pd  )   1   )   112 ,   14  112 ,   49  -   0   ,   31  2   )   112 ,   14  112 ,   49  MILLENNIUM (   rynku pieniężnego )   1   )   108 ,   30  108 ,   28  0   ,   02  2   )   108 ,   30  108 ,   28
Tokens: 1___ 2 3 4_ 5 6_ 7_ 8 9_ 10 11 12 13 14 15 16 17 18 19 20 21_ 22_____ 23 24 25 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_ 274 275 276_ 277 278 279_ 280 281 282 283 284 285 286 287_ 288 289 290_ 291 292 293_____ 294______ 295_ 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315__ 316__ 317_ 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337__ 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359__ 360 361__ 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383_ 384 385 386_________ 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409_ 410 411 412_________ 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435_ 436 437 438__ 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461_ 462 463 464__ 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487_ 488 489 490______ 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512_ 513 514 515______ 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537_ 538 539 540______ 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562_ 563 564 565______ 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587_ 588___ 589_ 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610_ 611_ 612 613_________ 614 615 616 617___ 618 619 620___ 621 622 623 624 625 626 627 628___ 629 630 631___ 632 633 634_______ 635 636_________ 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658_______ 659 660__ 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682_______ 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706_______ 707 708__ 709________ 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729

Chunks:
  TruePositive nam [21,22] = PZU POLONEZ (confidence=0.92)
  TruePositive nam [45,46] = PZU KRAKOWIAK (confidence=0.93)
  TruePositive nam [70,71] = PZU MAZUREK (confidence=0.90)
  TruePositive nam [182,183] = SKARBIEC NET (confidence=0.97)
  TruePositive nam [383,384] = CITI FIO (confidence=0.66)
  TruePositive nam [409,410] = CITI FIO (confidence=0.96)
  TruePositive nam [435,436] = CITI FIO (confidence=0.83)
  TruePositive nam [461,462] = CITI FIO (confidence=0.76)
  TruePositive nam [487,488] = CITI FIO (confidence=0.82)
  TruePositive nam [512,513] = CITI FIO (confidence=0.80)
  TruePositive nam [537,538] = CITI FIO (confidence=0.92)
  TruePositive nam [562,563] = CITI FIO (confidence=0.93)
  TruePositive nam [610,611] = CITI SFIO (confidence=0.76)
  TruePositive nam [634,634] = MILLENNIUM (confidence=0.58)
  FalsePositive nam [95,97] = SKARBIEC Kasa 1 (confidence=1.00)
  FalsePositive nam [116,117] = SKARBIEC Waga (confidence=1.00)
  FalsePositive nam [138,140] = SKARBIEC Akcja 1 (confidence=1.00)
  FalsePositive nam [160,162] = SKARBIEC Obligacja 1 (confidence=1.00)
  FalsePositive nam [204,206] = SKARBIEC III Filar (confidence=0.98)
  FalsePositive nam [227,229] = SKARBIEC Dolarowa Obligacja (confidence=1.00)
  FalsePositive nam [251,251] = USD (confidence=0.96)
  FalsePositive nam [271,273] = SKARBIEC Kasa Plus (confidence=0.99)
  FalsePositive nam [293,295] = SKARBIEC Obligacja Plus (confidence=0.99)
  FalsePositive nam [316,317] = GAMMA SFIO (confidence=0.49)
  FalsePositive nam [339,339] = FIO (confidence=0.48)
  FalsePositive nam [361,362] = FILAR FIO (confidence=0.88)
  FalsePositive nam [589,589] = SFIO (confidence=0.62)
  FalseNegative nam [95,95] = SKARBIEC
  FalseNegative nam [116,116] = SKARBIEC
  FalseNegative nam [138,138] = SKARBIEC
  FalseNegative nam [160,160] = SKARBIEC
  FalseNegative nam [204,204] = SKARBIEC
  FalseNegative nam [227,227] = SKARBIEC
  FalseNegative nam [271,271] = SKARBIEC
  FalseNegative nam [293,293] = SKARBIEC
  FalseNegative nam [315,317] = WARTA GAMMA SFIO
  FalseNegative nam [337,339] = WARTA PD FIO
  FalseNegative nam [359,362] = WARTA III FILAR FIO
  FalseNegative nam [587,589] = CITI SENIOR SFIO
  FalseNegative nam [658,658] = MILLENNIUM
  FalseNegative nam [682,682] = MILLENNIUM
  FalseNegative nam [706,706] = MILLENNIUM

(ChunkerEvaluator) Sentence #2124 from articles/00107801 from sent11

Text  : 1 ) Wartość aktywów netto na jednostkę uczestnictwa 2 )  Maksymalna cena zakupu 3  )  Maksymalna cena zakupu tylko dla PKO /  CS
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 [21,21] = PKO (confidence=1.00)
  FalsePositive nam [23,23] = CS (confidence=0.61)
  FalseNegative nam [21,23] = PKO / CS

2016-11-04 12:06:43,543 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 117 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107802.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107802.ini
(ChunkerEvaluator) Sentence #2125 from articles/00107802 from sent1

Text  : Krakowska AGH bogatsza o nowe laboratorium
Tokens: 1________ 2__ 3_______ 4 5___ 6___________

Chunks:
  FalsePositive nam [1,2] = Krakowska AGH (confidence=0.60)
  FalseNegative nam [2,2] = AGH

2016-11-04 12:06:43,578 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 118 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107803.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107803.ini
(ChunkerEvaluator) Sentence #2135 from articles/00107803 from sent2

Text  : Gmina Olsztyn szuka inwestora dla jurajskich term
Tokens: 1____ 2______ 3____ 4________ 5__ 6_________ 7___

Chunks:
  FalsePositive nam [1,2] = Gmina Olsztyn (confidence=1.00)
  FalseNegative nam [2,2] = Olsztyn

(ChunkerEvaluator) Sentence #2136 from articles/00107803 from sent3

Text  : Podczęstochowski Olsztyn , znany głównie z ruin średniowiecznego zamku ,  szuka inwestora ,  który chciał by wykorzystać zlokalizowane w  tej gminie wody termalne .
Tokens: 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 [1,2] = Podczęstochowski Olsztyn (confidence=0.99)
  FalseNegative nam [2,2] = Olsztyn

(ChunkerEvaluator) Sentence #2138 from articles/00107803 from sent5

Text  : Zaplanowana na przyszły rok kampania " Termy Jurajskie - promocja walorów inwestycyjnych gminy Olsztyn "  w  większej części (  ponad 530 tys .  zł )  będzie sfinansowana ze środków unijnych ,  przeznaczonych na ten cel przez samorząd woj .  śląskiego .
Tokens: 1__________ 2_ 3_______ 4__ 5_______ 6 7____ 8________ 9 10______ 11_____ 12____________ 13___ 14_____ 15 16 17______ 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] = Termy Jurajskie (confidence=0.99)
  TruePositive nam [14,14] = Olsztyn (confidence=1.00)
  TruePositive nam [24,24] = zł (confidence=1.00)
  FalseNegative nam [40,40] = śląskiego

(ChunkerEvaluator) Sentence #2147 from articles/00107803 from sent14

Text  : Woda nie jest na tyle gorąca , żeby ją wykorzystać do celów grzewczych ,  ale przy temperaturze 20 -  40 stopni Celsjusza możliwe było by zastosowanie jej w  parku wodnym .
Tokens: 1___ 2__ 3___ 4_ 5___ 6_____ 7 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 [22,22] = Celsjusza

(ChunkerEvaluator) Sentence #2148 from articles/00107803 from sent15

Text  : Gmina Olsztyn położona jest w Jurze Krakowsko - Częstochowskiej ,  w  granicach parku krajobrazowego i  jego otuliny ,  12 km na południowy wschód od granic Częstochowy .
Tokens: 1____ 2______ 3_______ 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 [6,9] = Jurze Krakowsko - Częstochowskiej (confidence=1.00)
  TruePositive nam [26,26] = Częstochowy (confidence=0.95)
  FalsePositive nam [1,2] = Gmina Olsztyn (confidence=0.60)
  FalseNegative nam [2,2] = Olsztyn

2016-11-04 12:06:43,661 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 119 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107805.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107805.ini
(ChunkerEvaluator) Sentence #2152 from articles/00107805 from sent3

Text  : Raport Bieżący Nr _ 374 _ E / ARBITER /  2002 Pioneer Pekao Towarzystwo Funduszy Inwestycyjnych S  .  A  .  działając w  imieniu Pioneer Arbitrażowego Specjalistycznego Funduszu Inwestycyjnego Zamkniętego niniejszym informuje ,  że w  dniu 3  .  12 .  2002 roku Pioneer Arbitrażowy Specjalistyczny Fundusz Inwestycyjny Zamknięty zawarł transakcję zakupu papierów wartościowych :
Tokens: 1_____ 2______ 3_ 4 5__ 6 7 8 9______ 10 11__ 12_____ 13___ 14_________ 15______ 16____________ 17 18 19 20 21_______ 22 23_____ 24_____ 25___________ 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 [9,9] = ARBITER (confidence=1.00)
  TruePositive nam [12,20] = Pioneer Pekao Towarzystwo Funduszy Inwestycyjnych S . A . (confidence=0.97)
  TruePositive nam [24,29] = Pioneer Arbitrażowego Specjalistycznego Funduszu Inwestycyjnego Zamkniętego (confidence=1.00)
  TruePositive nam [42,47] = Pioneer Arbitrażowy Specjalistyczny Fundusz Inwestycyjny Zamknięty (confidence=1.00)
  FalsePositive nam [1,3] = Raport Bieżący Nr (confidence=0.90)
  FalsePositive nam [7,7] = E (confidence=0.84)

(ChunkerEvaluator) Sentence #2154 from articles/00107805 from sent5

Text  : nazwa i podstawowe dane podmiotu zbywającego aktywa : BRE Bank SA 00 -  950 Warszawa ul .  Senatorska 18
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] = Senatorska (confidence=1.00)
  FalseNegative nam [9,11] = BRE Bank SA
  FalseNegative nam [15,15] = Warszawa

(ChunkerEvaluator) Sentence #2160 from articles/00107805 from sent11

Text  : przedmiotem transakcji były : Bony Skarbowe : PL0000002259 o wartości nominalnej :  53 450 000 .  00 zł terminie wykupu :  03 .  09 .  03 !
Tokens: 1__________ 2_________ 3___ 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] = zł (confidence=0.96)
  FalsePositive nam [5,6] = Bony Skarbowe (confidence=0.91)

(ChunkerEvaluator) Sentence #2162 from articles/00107805 from sent13

Text  : co stanowi : 81 % wartości Aktywów Netto Funduszu z  dnia ostatniej wyceny
Tokens: 1_ 2______ 3 4_ 5 6_______ 7______ 8____ 9_______ 10 11__ 12_______ 13____

Chunks:
  FalsePositive nam [7,9] = Aktywów Netto Funduszu (confidence=1.00)

(ChunkerEvaluator) Sentence #2164 from articles/00107805 from sent15

Text  : Kryterium będące podstawą uznania aktywów za aktywa o znacznej wartości :  Wartość przedmiotu transakcji stanowi co najmniej 10 %  wartości Aktywów Netto 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______

Chunks:
  FalsePositive nam [21,23] = Aktywów Netto Funduszu (confidence=1.00)

(ChunkerEvaluator) Sentence #2166 from articles/00107805 from sent17

Text  : Nie ma powiązań pomiędzy emitentem i osobami zarządzającymi lub nadzorującymi emitenta a  zbywającym aktywa ,  w  rozumieniu Rozporządzenia Rady Ministrów z  dnia 16 października 2001 r  .  w  sprawie informacji bieżących i  okresowych przekazywanych przez emitentów papierów wartościowych
Tokens: 1__ 2_ 3_______ 4_______ 5________ 6 7______ 8_____________ 9__ 10___________ 11______ 12 13________ 14____ 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 [18,20] = Rozporządzenia Rady Ministrów (confidence=1.00)
  FalseNegative nam [19,20] = Rady Ministrów

(ChunkerEvaluator) Sentence #2168 from articles/00107805 from sent19

Text  : Źródłem finansowania nabytych aktywów są kwoty wpłacone przez nabywców Certyfikatów Inwestycyjnych funduszu po powiększeniu o  dochody funduszu .
Tokens: 1______ 2___________ 3_______ 4______ 5_ 6____ 7_______ 8____ 9_______ 10__________ 11____________ 12______ 13 14__________ 15 16_____ 17______ 18

Chunks:
  FalsePositive nam [10,11] = Certyfikatów Inwestycyjnych (confidence=0.89)

2016-11-04 12:06:43,737 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 120 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107807.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107807.ini
(ChunkerEvaluator) Sentence #2169 from articles/00107807 from sent1

Text  : Suwalczanie pobili suwalczanina .
Tokens: 1__________ 2_____ 3___________ 4

Chunks:
  TruePositive nam [1,1] = Suwalczanie (confidence=0.85)
  FalseNegative nam [3,3] = suwalczanina

(ChunkerEvaluator) Sentence #2179 from articles/00107807 from sent11

Text  : Dalsze ustalenia w tej sprawie doprowadziły funkcjonariuszy do drugiego z  podejrzewanych mężczyzn -  25 -  letniego suwalczanina .
Tokens: 1_____ 2________ 3 4__ 5______ 6___________ 7______________ 8_ 9_______ 10 11____________ 12______ 13 14 15 16______ 17__________ 18

Chunks:
  FalseNegative nam [17,17] = suwalczanina

2016-11-04 12:06:43,790 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 121 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107808.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107808.ini
(ChunkerEvaluator) Sentence #2192 from articles/00107808 from sent7

Text  : - Lwów jest tym , o czym chciał by m  opowiedzieć w  domu -  powiedział mi niemiecki kibic .
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] = Lwów

(ChunkerEvaluator) Sentence #2194 from articles/00107808 from sent9

Text  : Lwowianie żartują , że od czasów okupacji hitlerowskiej nie słyszeli na ulicach tak dużo niemieckiego .
Tokens: 1________ 2______ 3 4_ 5_ 6_____ 7_______ 8____________ 9__ 10______ 11 12_____ 13_ 14__ 15__________ 16

Chunks:
  FalseNegative nam [1,1] = Lwowianie

(ChunkerEvaluator) Sentence #2204 from articles/00107808 from sent19

Text  : We Lwowie nawet żartują , że to mogło by być jednym z  największych osiągnięć mistrzostw .
Tokens: 1_ 2_____ 3____ 4______ 5 6_ 7_ 8____ 9_ 10_ 11____ 12 13__________ 14_______ 15________ 16

Chunks:
  TruePositive nam [2,2] = Lwowie (confidence=0.99)
  FalseNegative nam [15,15] = mistrzostw

(ChunkerEvaluator) Sentence #2209 from articles/00107808 from sent24

Text  : Szczególnie popularne są restauracje tematyczne sieci Lokal , jedne poświęcone masochizmowi (  Zacher fon Masoch to znany Lwowianin )  ,  inne Żydom ,  lampie gazowej ,  którą wynaleziono we Lwowie ,  rzece Pełtwie ,  nad którą stoi miasto .
Tokens: 1__________ 2________ 3_ 4__________ 5_________ 6____ 7____ 8 9____ 10________ 11__________ 12 13____ 14_ 15____ 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] = Lokal (confidence=1.00)
  TruePositive nam [18,18] = Lwowianin (confidence=1.00)
  TruePositive nam [22,22] = Żydom (confidence=0.96)
  TruePositive nam [30,30] = Lwowie (confidence=1.00)
  TruePositive nam [33,33] = Pełtwie (confidence=0.99)
  FalsePositive nam [13,13] = Zacher (confidence=0.74)
  FalsePositive nam [15,15] = Masoch (confidence=1.00)
  FalseNegative nam [13,15] = Zacher fon Masoch

2016-11-04 12:06:43,924 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 122 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107810.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107810.ini
(ChunkerEvaluator) Sentence #2223 from articles/00107810 from sent2

Text  : Od 1 czerwca Ukraina ma nowy Kodeks celny .
Tokens: 1_ 2 3______ 4______ 5_ 6___ 7_____ 8____ 9

Chunks:
  TruePositive nam [4,4] = Ukraina (confidence=1.00)
  FalseNegative nam [7,8] = Kodeks celny

(ChunkerEvaluator) Sentence #2224 from articles/00107810 from sent3

Text  : Zmiany dają nadzieję ma znaczące ułatwienie życia także polskim przedsiębiorcom ,  zwłaszcza w  zakresie czasu trwania odprawy celnej -  powiedział serwisowi portalspożywczy .  pl dr Maksym Ferenc ,  koordynator Ukrainian Desk ,  Chałas i  Wspólnicy Kancelaria 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_______ 31__ 32 33____ 34 35_______ 36________ 37____ 38

Chunks:
  TruePositive nam [26,27] = Maksym Ferenc (confidence=1.00)
  TruePositive nam [30,31] = Ukrainian Desk (confidence=1.00)
  FalsePositive nam [33,33] = Chałas (confidence=0.99)
  FalsePositive nam [35,37] = Wspólnicy Kancelaria Prawna (confidence=0.89)
  FalseNegative nam [33,37] = Chałas i Wspólnicy Kancelaria Prawna

(ChunkerEvaluator) Sentence #2225 from articles/00107810 from sent4

Text  : Kodeks został podpisany przez Prezydenta Ukrainy jeszcze w kwietniu ,  lecz zaczął obowiązywać dopiero 1  czerwca .
Tokens: 1_____ 2_____ 3________ 4____ 5_________ 6______ 7______ 8 9_______ 10 11__ 12____ 13_________ 14_____ 15 16_____ 17

Chunks:
  FalsePositive nam [5,6] = Prezydenta Ukrainy (confidence=0.70)
  FalseNegative nam [1,1] = Kodeks
  FalseNegative nam [6,6] = Ukrainy

(ChunkerEvaluator) Sentence #2237 from articles/00107810 from sent16

Text  : Przepisy nowego Kodeksu celnego dają również przedsiębiorcy możliwość wyboru dowolnego urzędu celnego w  celu odprawy towarów wwożonych na Ukrainy .
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] = Ukrainy (confidence=1.00)
  FalseNegative nam [3,4] = Kodeksu celnego

2016-11-04 12:06:44,050 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 123 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107812.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107812.ini
(ChunkerEvaluator) Sentence #2242 from articles/00107812 from sent1

Text  : Unibax w play - off ?
Tokens: 1_____ 2 3___ 4 5__ 6

Chunks:
  TruePositive nam [1,1] = Unibax (confidence=0.54)
  FalseNegative nam [3,5] = play - off

(ChunkerEvaluator) Sentence #2245 from articles/00107812 from sent4

Text  : Choć toruński Unibax zawodzi i znajduje się na siódmym miejscu to ma realne szanse na pozycję w  pierwszej czwórce i  jazdę w  fazie play -  off
Tokens: 1___ 2_______ 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] = Unibax (confidence=0.73)
  FalseNegative nam [24,26] = play - off

(ChunkerEvaluator) Sentence #2247 from articles/00107812 from sent6

Text  : Torunianie remis wywalczyli w Lesznie a przegrali aż cztery pojedynki -  w  Rzeszowie z  PGE Marmą ,  w  Gorzowie ze Stalą oraz na swoim torze z  Tauron Azotami Tarnów oraz Stelmetem Falubaz Zielona Góra .
Tokens: 1_________ 2____ 3_________ 4 5______ 6 7________ 8_ 9_____ 10_______ 11 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] = Lesznie (confidence=1.00)
  TruePositive nam [13,13] = Rzeszowie (confidence=1.00)
  TruePositive nam [15,16] = PGE Marmą (confidence=1.00)
  TruePositive nam [19,19] = Gorzowie (confidence=1.00)
  TruePositive nam [21,21] = Stalą (confidence=1.00)
  TruePositive nam [27,29] = Tauron Azotami Tarnów (confidence=1.00)
  TruePositive nam [31,34] = Stelmetem Falubaz Zielona Góra (confidence=1.00)
  FalseNegative nam [1,1] = Torunianie

(ChunkerEvaluator) Sentence #2253 from articles/00107812 from sent12

Text  : W Lesznie torunianie wygrywali już 39 : 33 , ale ostatecznie tylko zremisowali .
Tokens: 1 2______ 3_________ 4________ 5__ 6_ 7 8_ 9 10_ 11_________ 12___ 13_________ 14

Chunks:
  TruePositive nam [2,2] = Lesznie (confidence=1.00)
  FalseNegative nam [3,3] = torunianie

(ChunkerEvaluator) Sentence #2267 from articles/00107812 from sent26

Text  : Zwycięstwo w derby może otworzyć bramy do jazdy w play -  off .
Tokens: 1_________ 2 3____ 4___ 5_______ 6____ 7_ 8____ 9 10__ 11 12_ 13

Chunks:
  FalseNegative nam [10,12] = play - off

(ChunkerEvaluator) Sentence #2268 from articles/00107812 from sent27

Text  : Nie będzie to łatwe zadanie , ale sukces torunian na torze Polonii wcale nie jest niemożliwy .
Tokens: 1__ 2_____ 3_ 4____ 5______ 6 7__ 8_____ 9_______ 10 11___ 12_____ 13___ 14_ 15__ 16________ 17

Chunks:
  TruePositive nam [12,12] = Polonii (confidence=1.00)
  FalseNegative nam [9,9] = torunian

(ChunkerEvaluator) Sentence #2275 from articles/00107812 from sent34

Text  : Dla torunian może być pojedynkiem o wszystko .
Tokens: 1__ 2_______ 3___ 4__ 5__________ 6 7_______ 8

Chunks:
  FalseNegative nam [2,2] = torunian

(ChunkerEvaluator) Sentence #2276 from articles/00107812 from sent35

Text  : Zwycięstwo może dać upragniony awans do play - off .
Tokens: 1_________ 2___ 3__ 4_________ 5____ 6_ 7___ 8 9__ 10

Chunks:
  FalseNegative nam [7,9] = play - off

(ChunkerEvaluator) Sentence #2285 from articles/00107812 from sent44

Text  : Dzisiaj można już powiedzieć , że zespół Tauron Azotów Tarnów jest pewny udziału w  fazie play -  off .
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] = Tauron Azotów Tarnów (confidence=1.00)
  FalseNegative nam [16,18] = play - off

(ChunkerEvaluator) Sentence #2292 from articles/00107812 from sent51

Text  : Lotos ( dom ) 2 , Lotos ( wyjazd )  3  ,  Polonia (  dom )  3  ,  Unia (  wyjazd )  3  ,  Tauron Azoty (  dom )  3  ,  Falubaz (  wyjazd )  1  ,  Włókniarz Dospel (  dom )  3  ,  PGE Marma (  wyjazd )  3  ,  Sparta Betard (  dom )  3  ,  Unibax (  wyjazd )  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

Chunks:
  TruePositive nam [7,7] = Lotos (confidence=0.56)
  TruePositive nam [13,13] = Polonia (confidence=0.85)
  TruePositive nam [19,19] = Unia (confidence=0.94)
  TruePositive nam [25,26] = Tauron Azoty (confidence=1.00)
  TruePositive nam [32,32] = Falubaz (confidence=0.65)
  TruePositive nam [38,39] = Włókniarz Dospel (confidence=1.00)
  TruePositive nam [45,46] = PGE Marma (confidence=1.00)
  TruePositive nam [52,53] = Sparta Betard (confidence=1.00)
  TruePositive nam [59,59] = Unibax (confidence=0.84)
  FalseNegative nam [1,1] = Lotos

2016-11-04 12:06:44,261 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 124 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107816.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107816.ini
(ChunkerEvaluator) Sentence #2318 from articles/00107816 from sent15

Text  : Bydgoszcz jest trzecim ośrodkiem w kraju , który wykonuje takie zabiegi .
Tokens: 1________ 2___ 3______ 4________ 5 6____ 7 8____ 9_______ 10___ 11_____ 12

Chunks:
  FalseNegative nam [1,1] = Bydgoszcz

2016-11-04 12:06:44,319 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 125 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107817.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107817.ini
(ChunkerEvaluator) Sentence #2325 from articles/00107817 from sent1

Text  : MKiDN i Fundacja Kronenberga - współpraca w odzyskiwaniu strat wojennych
Tokens: 1____ 2 3_______ 4__________ 5 6_________ 7 8___________ 9____ 10_______

Chunks:
  TruePositive nam [3,4] = Fundacja Kronenberga (confidence=1.00)
  FalseNegative nam [1,1] = MKiDN

(ChunkerEvaluator) Sentence #2326 from articles/00107817 from sent2

Text  : List intencyjny o stałej współpracy ministerstwa kultury z Fundacją Kronenberga zostanie podpisany w  poniedziałek .
Tokens: 1___ 2_________ 3 4_____ 5_________ 6___________ 7______ 8 9_______ 10_________ 11______ 12_______ 13 14__________ 15

Chunks:
  TruePositive nam [9,10] = Fundacją Kronenberga (confidence=1.00)
  FalseNegative nam [6,7] = ministerstwa kultury

(ChunkerEvaluator) Sentence #2327 from articles/00107817 from sent3

Text  : & quot ; Łączymy siły , aby co roku móc wspólnie pozyskać utracone w  czasie II wojny światowej dzieło &  quot ;  -  mówi PAP Norbert Konarzewski z  Fundacji .
Tokens: 1 2___ 3 4______ 5___ 6 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 [25,25] = PAP (confidence=1.00)
  TruePositive nam [26,27] = Norbert Konarzewski (confidence=0.99)
  TruePositive nam [29,29] = Fundacji (confidence=1.00)
  FalseNegative nam [16,18] = II wojny światowej

(ChunkerEvaluator) Sentence #2328 from articles/00107817 from sent4

Text  : W ramach uruchamianego programu " Odzyskiwanie dzieł sztuki " resort kultury i  Fundacja Kronenberga mają podjąć stałą współpracę dotyczącą odzyskiwania dóbr kultury utraconych w  czasie II wojny światowej .
Tokens: 1 2_____ 3____________ 4_______ 5 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 [13,14] = Fundacja Kronenberga (confidence=1.00)
  FalseNegative nam [6,8] = Odzyskiwanie dzieł sztuki
  FalseNegative nam [26,28] = II wojny światowej

(ChunkerEvaluator) Sentence #2330 from articles/00107817 from sent6

Text  : Jak poinformowało PAP w piątek Centrum Informacyjne ministerstwa kultury ,  będzie to pierwsza tego typu długofalowa współpraca pomiędzy resortem kultury a  instytucją pozarządową .
Tokens: 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] = PAP (confidence=1.00)
  FalsePositive nam [6,7] = Centrum Informacyjne (confidence=1.00)
  FalseNegative nam [6,9] = Centrum Informacyjne ministerstwa kultury

(ChunkerEvaluator) Sentence #2331 from articles/00107817 from sent7

Text  : Jej celem będzie odzyskanie tych dóbr kultury utraconych przez Polskę w  wyniku II wojny światowej ,  których restytucja na drodze sądowej nie ma szans powodzenia ,  a  inne możliwości zostały wyczerpane .
Tokens: 1__ 2____ 3_____ 4_________ 5___ 6___ 7______ 8_________ 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] = Polskę (confidence=1.00)
  FalseNegative nam [13,15] = II wojny światowej

(ChunkerEvaluator) Sentence #2332 from articles/00107817 from sent8

Text  : Odzyskane dzieła sztuki będą mogły zostać przekazane wyłącznie do instytucji państwowych (  muzea ,  galerie itp .  )  ,  do pierwotnego właściciela lub jego prawnego następcy ,  a  w  przypadku ich braku -  do instytucji rekomendowanej przez ministerstwo .
Tokens: 1________ 2_____ 3_____ 4___ 5____ 6_____ 7_________ 8________ 9_ 10________ 11_________ 12 13___ 14 15_____ 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 [38,38] = ministerstwo

(ChunkerEvaluator) Sentence #2334 from articles/00107817 from sent10

Text  : W sytuacjach , w których odnajdywały się utracone dzieła sztuki ,  a  ministerstwo kultury się zwracało do nas z  prośbą o  pomoc -  podejmowali śmy taką współpracę .
Tokens: 1 2_________ 3 4 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 [13,14] = ministerstwo kultury

(ChunkerEvaluator) Sentence #2335 from articles/00107817 from sent11

Text  : To zaowocowało sprowadzeniem w 2010 roku do Polski obrazu +  Odpoczynek w  szałasie tatrzańskim +  Wojciecha Gersona i  przekazaniem go Zamkowi Królewskiemu w  Warszawie oraz odzyskaniem +  Murzynki +  Anny Bilińskiej -  Bohdanowiczowej ,  dzieła przekazanego do Muzeum Narodowego "  -  przypomniał w  rozmowie z  PAP zastępca dyrektora ds .  programowych Fundacji Kronenberga przy City Handlowy Norbert Konarzewski .
Tokens: 1_ 2__________ 3____________ 4 5___ 6___ 7_ 8_____ 9_____ 10 11________ 12 13______ 14_________ 15 16_______ 17_____ 18 19__________ 20 21_____ 22__________ 23 24_______ 25__ 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 [8,8] = Polski (confidence=0.99)
  TruePositive nam [16,17] = Wojciecha Gersona (confidence=1.00)
  TruePositive nam [21,22] = Zamkowi Królewskiemu (confidence=1.00)
  TruePositive nam [24,24] = Warszawie (confidence=1.00)
  TruePositive nam [30,33] = Anny Bilińskiej - Bohdanowiczowej (confidence=1.00)
  TruePositive nam [38,39] = Muzeum Narodowego (confidence=1.00)
  TruePositive nam [46,46] = PAP (confidence=1.00)
  TruePositive nam [52,53] = Fundacji Kronenberga (confidence=1.00)
  TruePositive nam [55,56] = City Handlowy (confidence=0.82)
  TruePositive nam [57,58] = Norbert Konarzewski (confidence=0.71)
  FalsePositive nam [28,28] = Murzynki (confidence=0.88)
  FalseNegative nam [27,29] = + Murzynki +

(ChunkerEvaluator) Sentence #2338 from articles/00107817 from sent14

Text  : " Założenie jest takie , że ministerstwo kultury będzie raz w  roku przekazywało fundacji listę wybranych dzieł sztuki ,  które udało się zlokalizować i  zidentyfikować .
Tokens: 1 2________ 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] = fundacji

(ChunkerEvaluator) Sentence #2340 from articles/00107817 from sent16

Text  : Rada ma składać się z reprezentantów ministerstwa kultury , fundacji i  ekspertów .  "
Tokens: 1___ 2_ 3______ 4__ 5 6_____________ 7___________ 8______ 9 10______ 11 12_______ 13 14

Chunks:
  FalseNegative nam [1,1] = Rada
  FalseNegative nam [7,8] = ministerstwa kultury
  FalseNegative nam [10,10] = fundacji

(ChunkerEvaluator) Sentence #2342 from articles/00107817 from sent18

Text  : Polska w wyniku II wojny światowej straciła ponad 70 proc .  materialnego dziedzictwa kultury ;  wśród strat wojennych znajdują się dzieła ,  m  .  in .  Pietera Brueghela ,  Antona van Dycka ,  Pabla Picassa ,  Jana Matejki ,  Jacka Malczewskiego ,  Stanisława Wyspiańskiego .
Tokens: 1_____ 2 3_____ 4_ 5____ 6________ 7_______ 8____ 9_ 10__ 11 12__________ 13_________ 14_____ 15 16___ 17___ 18_______ 19______ 20_ 21____ 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 [1,1] = Polska (confidence=0.67)
  TruePositive nam [27,28] = Pietera Brueghela (confidence=1.00)
  TruePositive nam [34,35] = Pabla Picassa (confidence=1.00)
  TruePositive nam [37,38] = Jana Matejki (confidence=1.00)
  TruePositive nam [40,41] = Jacka Malczewskiego (confidence=1.00)
  TruePositive nam [43,44] = Stanisława Wyspiańskiego (confidence=1.00)
  FalsePositive nam [30,30] = Antona (confidence=0.98)
  FalsePositive nam [32,32] = Dycka (confidence=0.62)
  FalseNegative nam [4,6] = II wojny światowej
  FalseNegative nam [30,32] = Antona van Dycka

(ChunkerEvaluator) Sentence #2345 from articles/00107817 from sent21

Text  : Część z nich prezentowana jest na stronie internetowej www.mkidn.gov.pl/kolekcje .
Tokens: 1____ 2 3___ 4___________ 5___ 6_ 7______ 8___________ 9________________________ 10

Chunks:
  FalseNegative nam [9,9] = www.mkidn.gov.pl/kolekcje

2016-11-04 12:06:44,611 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 126 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107819.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107819.ini
(ChunkerEvaluator) Sentence #2347 from articles/00107819 from sent2

Text  : Ivana i Leni - imiona swej dziewczyny oraz siostrzenicy umieścił na piłkarskich butach najskuteczniejszy Chorwat w  mistrzostwach Europy Mario Mandzukic .
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] = Leni (confidence=1.00)
  TruePositive nam [15,15] = Chorwat (confidence=1.00)
  TruePositive nam [17,18] = mistrzostwach Europy (confidence=0.81)
  TruePositive nam [19,20] = Mario Mandzukic (confidence=0.87)
  FalseNegative nam [1,1] = Ivana

(ChunkerEvaluator) Sentence #2348 from articles/00107819 from sent3

Text  : & quot ; Vatreni & quot ; ( & quot ;  Ogniści &  quot ;  )  są blisko awansu do ćwierćfinału polsko -  ukraińskiego turnieju .
Tokens: 1 2___ 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] = Vatreni (confidence=0.97)
  FalsePositive nam [12,12] = Ogniści (confidence=0.92)

(ChunkerEvaluator) Sentence #2349 from articles/00107819 from sent4

Text  : Chorwaci do tej pory wygrali w Poznaniu z Irlandią 3  :  1  i  zremisowali w  stolicy Wielkopolski z  Włochami 3  :  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

Chunks:
  TruePositive nam [7,7] = Poznaniu (confidence=1.00)
  TruePositive nam [9,9] = Irlandią (confidence=1.00)
  TruePositive nam [17,17] = Wielkopolski (confidence=0.99)
  TruePositive nam [19,19] = Włochami (confidence=1.00)
  FalseNegative nam [1,1] = Chorwaci

(ChunkerEvaluator) Sentence #2350 from articles/00107819 from sent5

Text  : W poniedziałek 18 czerwca zmierzą się w Gdańsku z mistrzem świata i  kontynentu Hiszpanią .
Tokens: 1 2___________ 3_ 4______ 5______ 6__ 7 8______ 9 10______ 11____ 12 13________ 14_______ 15

Chunks:
  TruePositive nam [8,8] = Gdańsku (confidence=1.00)
  TruePositive nam [14,14] = Hiszpanią (confidence=1.00)
  FalseNegative nam [10,11] = mistrzem świata

(ChunkerEvaluator) Sentence #2354 from articles/00107819 from sent9

Text  : Imiona kobiet znajdują się na lewym bucie , zaś na prawym -  napis "  MM17 "  ,  czyli inicjały piłkarza i  numer ,  z  jakim występuje na koszulce w  biało -  czerwoną szachownicę .
Tokens: 1_____ 2_____ 3_______ 4__ 5_ 6____ 7____ 8 9__ 10 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 [15,15] = MM17

(ChunkerEvaluator) Sentence #2357 from articles/00107819 from sent12

Text  : Podobnie postąpił urodzony w Brazylii napastnik Eduardo da Silva (  Szachtar )  .
Tokens: 1_______ 2_______ 3_______ 4 5_______ 6________ 7______ 8_ 9____ 10 11______ 12 13

Chunks:
  TruePositive nam [5,5] = Brazylii (confidence=1.00)
  TruePositive nam [11,11] = Szachtar (confidence=0.98)
  FalsePositive nam [7,7] = Eduardo (confidence=1.00)
  FalsePositive nam [9,9] = Silva (confidence=0.96)
  FalseNegative nam [7,9] = Eduardo da Silva

(ChunkerEvaluator) Sentence #2361 from articles/00107819 from sent16

Text  : " Ja nie mam dzieci , dlatego umieścił em nazwę miejscowości ,  z  której pochodzę -  Donji Miholjac "  -  wyjaśnił 23 -  letni obrońca Dinama Zagrzeb Domagoj Vida .
Tokens: 1 2_ 3__ 4__ 5_____ 6 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 [17,18] = Donji Miholjac (confidence=1.00)
  FalsePositive nam [26,29] = Dinama Zagrzeb Domagoj Vida (confidence=1.00)
  FalseNegative nam [26,27] = Dinama Zagrzeb
  FalseNegative nam [28,29] = Domagoj Vida

(ChunkerEvaluator) Sentence #2362 from articles/00107819 from sent17

Text  : W przeszłości reprezentanci Chorwacji też lubili mieć oryginalne napisy na korkach ,  m  .  in .  Niko Kovac -  "  Vjeru i  ljubav "  (  wiara i  miłość )  oraz imię córki Laury ,  zaś jego brat Robert -  "  Republika Hrvatska "  .
Tokens: 1 2__________ 3____________ 4________ 5__ 6_____ 7___ 8_________ 9_____ 10 11_____ 12 13 14 15 16 17__ 18___ 19 20 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 [4,4] = Chorwacji (confidence=1.00)
  TruePositive nam [17,18] = Niko Kovac (confidence=1.00)
  TruePositive nam [33,33] = Laury (confidence=1.00)
  TruePositive nam [38,38] = Robert (confidence=1.00)
  TruePositive nam [41,42] = Republika Hrvatska (confidence=0.93)
  FalseNegative nam [21,23] = Vjeru i ljubav

2016-11-04 12:06:44,732 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 127 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107821.xml
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(ChunkerEvaluator) Sentence #2370 from articles/00107821 from sent7

Text  : Olimpiada organizowana jest w ramach programu „ Szkoła @ ktywnego Seniora ”  realizowanego przez Wojewódzką Bibliotekę Publiczną w  Krakowie i  Towarzystwo Polsko -  Niemieckie w  Krakowie .
Tokens: 1________ 2___________ 3___ 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 [8,11] = Szkoła @ ktywnego Seniora (confidence=1.00)
  TruePositive nam [15,17] = Wojewódzką Bibliotekę Publiczną (confidence=1.00)
  TruePositive nam [19,19] = Krakowie (confidence=1.00)
  TruePositive nam [21,24] = Towarzystwo Polsko - Niemieckie (confidence=1.00)
  TruePositive nam [26,26] = Krakowie (confidence=0.99)
  FalseNegative nam [1,1] = Olimpiada

2016-11-04 12:06:44,816 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 128 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107824.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107824.ini
(ChunkerEvaluator) Sentence #2396 from articles/00107824 from sent15

Text  : Chciał by m podziękować Igorowi za duży wkład w wywalczeniu piątego miejsca w  Ekstraklasie futsalu -  powiedział Wiśniewski .
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] = Igorowi (confidence=1.00)
  TruePositive nam [18,18] = Wiśniewski (confidence=1.00)
  FalsePositive nam [14,14] = Ekstraklasie (confidence=0.99)
  FalseNegative nam [14,15] = Ekstraklasie futsalu

(ChunkerEvaluator) Sentence #2405 from articles/00107824 from sent24

Text  : Na początku drużyna trenować będzie na własnych obiektach a w  połowie sierpnia Marwit wyjedzie na zgrupowanie do Bielska -  Białej .
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 [18,20] = Bielska - Białej (confidence=1.00)
  FalsePositive nam [13,13] = Marwit (confidence=1.00)

2016-11-04 12:06:44,899 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 129 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107825.xml
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(ChunkerEvaluator) Sentence #2455 from articles/00107825 from sent49

Text  : Było już jasno , gdy na Bulwarze Nadmorskim idącą Iwonę zarejestrowała kamera monitoringu ulicznego .
Tokens: 1___ 2__ 3____ 4 5__ 6_ 7_______ 8_________ 9____ 10___ 11____________ 12____ 13_________ 14_______ 15

Chunks:
  TruePositive nam [7,8] = Bulwarze Nadmorskim (confidence=1.00)
  FalsePositive nam [10,10] = Iwonę (confidence=0.98)

2016-11-04 12:06:45,065 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 130 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107826.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107826.ini
(ChunkerEvaluator) Sentence #2458 from articles/00107826 from sent1

Text  : Po spoktaklach EuroDramy 2002 - w czwartek 5 grudnia
Tokens: 1_ 2__________ 3________ 4___ 5 6 7_______ 8 9______

Chunks:
  FalsePositive nam [3,3] = EuroDramy (confidence=0.82)
  FalseNegative nam [3,4] = EuroDramy 2002

(ChunkerEvaluator) Sentence #2472 from articles/00107826 from sent15

Text  : Trochę cierpnie skóra , bo nie mamy pewności , czy to nadal parodia ,  czy okrutna prawda o  widzach programów „  Tylko miłość ”  ,  „  Big Brother ”  czy „  Idol ”  .
Tokens: 1_____ 2_______ 3____ 4 5_ 6__ 7___ 8_______ 9 10_ 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] = Big Brother (confidence=0.99)
  TruePositive nam [32,32] = Idol (confidence=0.97)
  FalseNegative nam [22,23] = Tylko miłość

(ChunkerEvaluator) Sentence #2474 from articles/00107826 from sent17

Text  : Klata , który imiona bohaterów zmienił w znaczki z klawiatury komputera (  operator to „  $  ”  ,  dziennikarka „  @  ”  ,  stary artysta „  %  ”  )  ,  bawi się także cyberprzestrzenią .
Tokens: 1____ 2 3____ 4_____ 5________ 6______ 7 8______ 9 10________ 11_______ 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 [1,1] = Klata

(ChunkerEvaluator) Sentence #2489 from articles/00107826 from sent32

Text  : Klata dość zręcznie splótł oba wątki .
Tokens: 1____ 2___ 3_______ 4_____ 5__ 6____ 7

Chunks:
  FalseNegative nam [1,1] = Klata

(ChunkerEvaluator) Sentence #2498 from articles/00107826 from sent41

Text  : O „ Cicho ” Mariusza Bielińskiego w interpretacji Aldony Figury szkoda nawet gadać .
Tokens: 1 2 3____ 4 5_______ 6___________ 7 8____________ 9_____ 10____ 11____ 12___ 13___ 14

Chunks:
  TruePositive nam [5,6] = Mariusza Bielińskiego (confidence=1.00)
  TruePositive nam [9,10] = Aldony Figury (confidence=1.00)
  FalseNegative nam [3,3] = Cicho

(ChunkerEvaluator) Sentence #2500 from articles/00107826 from sent43

Text  : Papierowe postaci , wycięte z dykty role , źle ustawione światła i  refren kapeli „  Dupa słońca nie widziała ”  na okrasę .
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 [16,17] = Dupa słońca (confidence=0.91)

(ChunkerEvaluator) Sentence #2513 from articles/00107826 from sent56

Text  : Okrzyk „ Kto wypił tę cholerną kawę i nie nastawił nowej ”  brzmi tu naprawdę jak Konradowskie „  Ty nie jesteś Bogiem ”  .
Tokens: 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] = Konradowskie (confidence=0.84)
  FalsePositive nam [3,3] = Kto (confidence=0.95)
  FalsePositive nam [19,22] = Ty nie jesteś Bogiem (confidence=0.79)
  FalseNegative nam [22,22] = Bogiem

(ChunkerEvaluator) Sentence #2518 from articles/00107826 from sent61

Text  : Mariusz Bieliński „ Cicho ” w reż . Aldony Figury
Tokens: 1______ 2________ 3 4____ 5 6 7__ 8 9_____ 10____

Chunks:
  TruePositive nam [1,2] = Mariusz Bieliński (confidence=1.00)
  TruePositive nam [9,10] = Aldony Figury (confidence=1.00)
  FalseNegative nam [4,4] = Cicho

2016-11-04 12:06:45,293 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 131 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107827.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107827.ini
(ChunkerEvaluator) Sentence #2542 from articles/00107827 from sent22

Text  : Ostatecznie podczas sobotniego zjazdu Platformy w Wałbrzychu Schetynę na stanowisko przewodniczącego poparło 220 delegatów ,  przeciwko było 18 .
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] = Platformy (confidence=1.00)
  FalsePositive nam [7,8] = Wałbrzychu Schetynę (confidence=1.00)
  FalseNegative nam [7,7] = Wałbrzychu
  FalseNegative nam [8,8] = Schetynę

2016-11-04 12:06:45,368 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 132 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107828.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107828.ini
(ChunkerEvaluator) Sentence #2544 from articles/00107828 from sent2

Text  : Dźwig blokuje trasę krajową nr 1 w Otłoczynie na południe od Torunia .
Tokens: 1____ 2______ 3____ 4______ 5_ 6 7 8_________ 9_ 10______ 11 12_____ 13

Chunks:
  TruePositive nam [8,8] = Otłoczynie (confidence=0.98)
  TruePositive nam [12,12] = Torunia (confidence=1.00)
  FalseNegative nam [6,6] = 1

2016-11-04 12:06:45,401 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 133 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107831.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107831.ini
(ChunkerEvaluator) Sentence #2565 from articles/00107831 from sent11

Text  : Poza omówieniem problemu „ małych ojczyzn ” w prozie Zegadłowicza i  obrazu Polski ,  jaki wyłania się z  korespondencji Jerzego Giedroycia z  Bobkowskim ,  zmieściły się również :  analiza cierpienia w  „  Innym świecie ”  Gustawa Herlinga -  Grudzińskiego ,  omówienia twórczości Kornela Filipowicza ,  Jarosława Iwaszkiewicza oraz wykreowanej na romantyczną biografii Witolda Gombrowicza .
Tokens: 1___ 2_________ 3_______ 4 5_____ 6______ 7 8 9_____ 10__________ 11 12____ 13____ 14 15__ 16_____ 17_ 18 19____________ 20_____ 21________ 22 23________ 24 25_______ 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 [10,10] = Zegadłowicza (confidence=1.00)
  TruePositive nam [13,13] = Polski (confidence=1.00)
  TruePositive nam [20,21] = Jerzego Giedroycia (confidence=1.00)
  TruePositive nam [23,23] = Bobkowskim (confidence=0.99)
  TruePositive nam [36,39] = Gustawa Herlinga - Grudzińskiego (confidence=1.00)
  TruePositive nam [43,44] = Kornela Filipowicza (confidence=1.00)
  TruePositive nam [46,47] = Jarosława Iwaszkiewicza (confidence=1.00)
  TruePositive nam [53,54] = Witolda Gombrowicza (confidence=1.00)
  FalseNegative nam [33,34] = Innym świecie

(ChunkerEvaluator) Sentence #2570 from articles/00107831 from sent16

Text  : Nieznoszący sprzeciwu , jednoznaczny , miejscami patetyczny ton , kategorycznie oceniający nie zawsze samą tylko estetyczną jakość utworu ,  ale i  zachowania innych (  jego metaliczny dźwięk najbardziej zdecydowanie brzmi w  rozdziale o  antysemityzmie Polaków w  literaturze )  ,  może drażnić ,  dopóki za dobrą monetę nie weźmie się właściwego chyba autorowi „  Od Emila Zegadłowicza .  .  .  ”  przekonania ,  że o  wartościach trzeba mówić zdecydowanie i  podniesionym głosem .
Tokens: 1__________ 2________ 3 4___________ 5 6________ 7_________ 8__ 9 10___________ 11________ 12_ 13____ 14__ 15___ 16________ 17____ 18____ 19 20_ 21 22________ 23____ 24 25__ 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 [35,35] = Polaków (confidence=1.00)
  FalsePositive nam [54,59] = Od Emila Zegadłowicza . . . (confidence=0.97)
  FalseNegative nam [55,56] = Emila Zegadłowicza

(ChunkerEvaluator) Sentence #2572 from articles/00107831 from sent18

Text  : Stanisław Stabro , „ Od Emila Zegadłowicza do Andrzeja Bobkowskiego .
Tokens: 1________ 2_____ 3 4 5_ 6____ 7___________ 8_ 9_______ 10__________ 11

Chunks:
  TruePositive nam [1,2] = Stanisław Stabro (confidence=1.00)
  FalsePositive nam [6,7] = Emila Zegadłowicza (confidence=1.00)
  FalsePositive nam [9,9] = Andrzeja (confidence=1.00)

(ChunkerEvaluator) Sentence #2573 from articles/00107831 from sent19

Text  : O prozie polskiej XX wieku ” , Wydawnictwo Universitas ,  Kraków 2002
Tokens: 1 2_____ 3_______ 4_ 5____ 6 7 8__________ 9__________ 10 11____ 12__

Chunks:
  TruePositive nam [8,9] = Wydawnictwo Universitas (confidence=0.99)
  FalsePositive nam [11,12] = Kraków 2002 (confidence=1.00)
  FalseNegative nam [11,11] = Kraków

2016-11-04 12:06:45,531 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 134 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107832.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107832.ini
(ChunkerEvaluator) Sentence #2575 from articles/00107832 from sent2

Text  : Kamienica przy ul . Okopowej 22 to sól w oku wielu olsztynian .
Tokens: 1________ 2___ 3_ 4 5_______ 6_ 7_ 8__ 9 10_ 11___ 12________ 13

Chunks:
  TruePositive nam [5,5] = Okopowej (confidence=0.98)
  FalsePositive nam [1,1] = Kamienica (confidence=0.56)
  FalseNegative nam [12,12] = olsztynian

(ChunkerEvaluator) Sentence #2594 from articles/00107832 from sent21

Text  : Wolny przypomina , że to nie pierwsze takie odwołanie .
Tokens: 1____ 2_________ 3 4_ 5_ 6__ 7_______ 8____ 9________ 10

Chunks:
  FalseNegative nam [1,1] = Wolny

2016-11-04 12:06:45,650 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 135 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107839.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107839.ini
(ChunkerEvaluator) Sentence #2614 from articles/00107839 from sent3

Text  : Nazaret z języka polskiego i I Prywatne Liceum Ogólnokształcące z  matematyki i  języka angielskiego -  uczniowie tych szkół osiągnęli najlepsze wyniki z  przedmiotów obowiązkowych tegorocznej matury .
Tokens: 1______ 2 3_____ 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 [6,9] = I Prywatne Liceum Ogólnokształcące (confidence=0.94)
  FalseNegative nam [1,1] = Nazaret

(ChunkerEvaluator) Sentence #2624 from articles/00107839 from sent13

Text  : Ze szkół prowadzonych przez miasto język angielski najlepiej wypadł natomiast w  I  LO im .  Żeromskiego .
Tokens: 1_ 2____ 3___________ 4____ 5_____ 6____ 7________ 8________ 9_____ 10_______ 11 12 13 14 15 16_________ 17

Chunks:
  FalsePositive nam [13,16] = LO im . Żeromskiego (confidence=0.48)
  FalseNegative nam [12,16] = I LO im . Żeromskiego

2016-11-04 12:06:45,698 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 136 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107841.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107841.ini
(ChunkerEvaluator) Sentence #2626 from articles/00107841 from sent1

Text  : Mistrz Polski sprzedaje karnety .
Tokens: 1_____ 2_____ 3________ 4______ 5

Chunks:
  FalsePositive nam [2,2] = Polski (confidence=0.96)
  FalseNegative nam [1,2] = Mistrz Polski

(ChunkerEvaluator) Sentence #2640 from articles/00107841 from sent15

Text  : Tak samo jak część sektora B3 , który zajmuje Klub Kibica i  sektor B4 ,  w  którym sprzedaż karnetów prowadzić będą właśnie kibice .
Tokens: 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] = Klub Kibica (confidence=1.00)
  FalsePositive nam [6,6] = B3 (confidence=0.98)
  FalsePositive nam [14,14] = B4 (confidence=0.91)

2016-11-04 12:06:45,754 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 137 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107842.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107842.ini
(ChunkerEvaluator) Sentence #2645 from articles/00107842 from sent1

Text  : Honory dla uczestnika bitwy o Anglię
Tokens: 1_____ 2__ 3_________ 4____ 5 6_____

Chunks:
  FalsePositive nam [6,6] = Anglię (confidence=1.00)
  FalseNegative nam [4,6] = bitwy o Anglię

(ChunkerEvaluator) Sentence #2646 from articles/00107842 from sent2

Text  : Złotą Odznakę za Zasługi dla Województwa Śląskiego przyznali radni 97 -  letniemu majorowi Antoniemu Tomiczce ,  weteranowi II wojny światowej ,  uczestnikowi bitwy o  Anglię
Tokens: 1____ 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] = Antoniemu Tomiczce (confidence=1.00)
  FalsePositive nam [1,2] = Złotą Odznakę (confidence=0.97)
  FalsePositive nam [4,4] = Zasługi (confidence=0.57)
  FalsePositive nam [6,7] = Województwa Śląskiego (confidence=0.96)
  FalsePositive nam [25,25] = Anglię (confidence=1.00)
  FalseNegative nam [1,4] = Złotą Odznakę za Zasługi
  FalseNegative nam [7,7] = Śląskiego
  FalseNegative nam [18,20] = II wojny światowej
  FalseNegative nam [23,25] = bitwy o Anglię

(ChunkerEvaluator) Sentence #2649 from articles/00107842 from sent5

Text  : Kształcił się na pilota w Krakowie i w Grudziądzu ,  potem otrzymał przydział do 122 .  eskadry myśliwskiej w  Krakowie ,  z  którą w  październiku 1938 roku brał udział w  zajmowaniu Zaolzia .
Tokens: 1________ 2__ 3_ 4_____ 5 6_______ 7 8 9_________ 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 [6,6] = Krakowie (confidence=1.00)
  TruePositive nam [9,9] = Grudziądzu (confidence=1.00)
  TruePositive nam [20,20] = Krakowie (confidence=1.00)
  TruePositive nam [32,32] = Zaolzia (confidence=0.99)
  FalseNegative nam [17,18] = eskadry myśliwskiej

(ChunkerEvaluator) Sentence #2653 from articles/00107842 from sent9

Text  : Eskadry do Zadań Specjalnych .
Tokens: 1______ 2_ 3____ 4__________ 5

Chunks:
  FalsePositive nam [3,4] = Zadań Specjalnych (confidence=1.00)

(ChunkerEvaluator) Sentence #2654 from articles/00107842 from sent10

Text  : W 1944 roku latał ze zrzutami 23 razy - w  tym m  .  in .  5  razy nad Polską ,  11 nad Włochami oraz nad Jugosławią ,  Czechosłowacją i  Grecją .
Tokens: 1 2___ 3___ 4____ 5_ 6_______ 7_ 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] = Włochami (confidence=1.00)
  TruePositive nam [26,26] = Jugosławią (confidence=0.99)
  TruePositive nam [28,28] = Czechosłowacją (confidence=0.81)
  TruePositive nam [30,30] = Grecją (confidence=1.00)
  FalsePositive nam [19,19] = Polską (confidence=1.00)
  FalseNegative nam [19,20] = Polską ,

(ChunkerEvaluator) Sentence #2659 from articles/00107842 from sent15

Text  : Po wojnie wrócił na Górny Śląsk .
Tokens: 1_ 2_____ 3_____ 4_ 5____ 6____ 7

Chunks:
  FalsePositive nam [5,5] = Górny (confidence=1.00)
  FalseNegative nam [2,2] = wojnie
  FalseNegative nam [5,6] = Górny Śląsk

2016-11-04 12:06:45,824 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 138 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107845.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107845.ini
(ChunkerEvaluator) Sentence #2661 from articles/00107845 from sent1

Text  : DZIEŃ W 60 SEKUND : SOBOTA 7 LIPCA
Tokens: 1____ 2 3_ 4_____ 5 6_____ 7 8____

Chunks:
  FalsePositive nam [4,4] = SEKUND (confidence=0.96)
  FalsePositive nam [6,6] = SOBOTA (confidence=0.74)
  FalsePositive nam [8,8] = LIPCA (confidence=0.61)

(ChunkerEvaluator) Sentence #2663 from articles/00107845 from sent3

Text  : Specjalnie dla Was najważniejsze wydarzenia dnia z kraju i ze świata .
Tokens: 1_________ 2__ 3__ 4____________ 5_________ 6___ 7 8____ 9 10 11____ 12

Chunks:
  FalsePositive nam [3,3] = Was (confidence=0.96)

(ChunkerEvaluator) Sentence #2673 from articles/00107845 from sent13

Text  : Europa musi patrzeć Rumunom na ręce .
Tokens: 1_____ 2___ 3______ 4______ 5_ 6___ 7

Chunks:
  TruePositive nam [4,4] = Rumunom (confidence=0.97)
  FalseNegative nam [1,1] = Europa

(ChunkerEvaluator) Sentence #2674 from articles/00107845 from sent14

Text  : NASA opublikowała niezwykłą panoramę Marsa .
Tokens: 1___ 2___________ 3________ 4_______ 5____ 6

Chunks:
  TruePositive nam [5,5] = Marsa (confidence=1.00)
  FalseNegative nam [1,1] = NASA

2016-11-04 12:06:45,850 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 139 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107847.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107847.ini
2016-11-04 12:06:45,886 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 140 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107848.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107848.ini
(ChunkerEvaluator) Sentence #2681 from articles/00107848 from sent1

Text  : Tour de France - Di Gregorio zatrzymany w związku z  dopingiem
Tokens: 1___ 2_ 3_____ 4 5_ 6_______ 7_________ 8 9______ 10 11_______

Chunks:
  TruePositive nam [5,6] = Di Gregorio (confidence=0.97)
  FalsePositive nam [3,3] = France (confidence=0.98)
  FalseNegative nam [1,3] = Tour de France

(ChunkerEvaluator) Sentence #2682 from articles/00107848 from sent2

Text  : Prokuratura w Marsylii potwierdziła we wtorek aresztowanie uczestnika kolarskiego wyścigu Tour de France Francuza Remy'ego di Gregorio w  związku z  aferą dopingową .
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] = Marsylii (confidence=1.00)
  FalsePositive nam [11,11] = Tour (confidence=0.58)
  FalsePositive nam [13,14] = France Francuza (confidence=1.00)
  FalsePositive nam [15,15] = Remy'ego (confidence=0.61)
  FalsePositive nam [17,17] = Gregorio (confidence=0.94)
  FalseNegative nam [1,1] = Prokuratura
  FalseNegative nam [11,13] = Tour de France
  FalseNegative nam [14,14] = Francuza
  FalseNegative nam [15,17] = Remy'ego di Gregorio

(ChunkerEvaluator) Sentence #2686 from articles/00107848 from sent6

Text  : " Ten odosobniony przypadek nie powinien rodzić kwestii uczestnictwa naszej ekipy w  Tour de France i  karania w  ten sposób innych ,  którzy nie mają sobie nic do zarzucenia "  -  poinformował francuski zespół .
Tokens: 1 2__ 3__________ 4________ 5__ 6_______ 7_____ 8______ 9___________ 10____ 11___ 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 [13,13] = Tour (confidence=0.92)
  FalsePositive nam [15,15] = France (confidence=0.97)
  FalseNegative nam [13,15] = Tour de France

2016-11-04 12:06:45,923 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 141 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107849.xml
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(ChunkerEvaluator) Sentence #2701 from articles/00107849 from sent15

Text  : Józef Natonek , prezes MPWiK , wyjaśnia , że konkursem chciał umilić jaworznianom trudy budowy kanalizacji ,  największej miejskiej inwestycji od wielu 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:
  TruePositive nam [1,2] = Józef Natonek (confidence=1.00)
  TruePositive nam [5,5] = MPWiK (confidence=1.00)
  FalseNegative nam [13,13] = jaworznianom

2016-11-04 12:06:45,989 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 142 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107850.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107850.ini
2016-11-04 12:06:46,033 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 143 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107851.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107851.ini
(ChunkerEvaluator) Sentence #2722 from articles/00107851 from sent5

Text  : Zawisza , który latem jest bardzo aktywny na rynku transferowym ,  od dłuższego czasu poszukuje napastnika .
Tokens: 1______ 2 3____ 4____ 5___ 6_____ 7______ 8_ 9____ 10__________ 11 12 13_______ 14___ 15_______ 16________ 17

Chunks:
  FalseNegative nam [1,1] = Zawisza

(ChunkerEvaluator) Sentence #2723 from articles/00107851 from sent6

Text  : Bahina ( ma 192 cm wzrostu ) polecił bydgoszczanom jego agent Mirosław Tłokiński .
Tokens: 1_____ 2 3_ 4__ 5_ 6______ 7 8______ 9____________ 10__ 11___ 12______ 13_______ 14

Chunks:
  TruePositive nam [1,1] = Bahina (confidence=0.96)
  TruePositive nam [12,13] = Mirosław Tłokiński (confidence=1.00)
  FalseNegative nam [9,9] = bydgoszczanom

2016-11-04 12:06:46,067 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 144 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107852.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107852.ini
(ChunkerEvaluator) Sentence #2730 from articles/00107852 from sent2

Text  : Igrzyska 1996 roku , w 100 - lecie nowożytnych olimpiad ,  poprzedził wybuch bomby w  Parku Olimpijskim w  Atlancie .
Tokens: 1_______ 2___ 3___ 4 5 6__ 7 8____ 9__________ 10______ 11 12________ 13____ 14___ 15 16___ 17_________ 18 19______ 20

Chunks:
  TruePositive nam [16,17] = Parku Olimpijskim (confidence=1.00)
  TruePositive nam [19,19] = Atlancie (confidence=1.00)
  FalseNegative nam [1,1] = Igrzyska
  FalseNegative nam [6,10] = 100 - lecie nowożytnych olimpiad

(ChunkerEvaluator) Sentence #2737 from articles/00107852 from sent9

Text  : Tymczasem , w tak podniosłej chwili inauguracji igrzysk , na oczach tysięcy widzów zdarzyła się tragedia .
Tokens: 1________ 2 3 4__ 5_________ 6_____ 7__________ 8______ 9 10 11____ 12_____ 13____ 14______ 15_ 16______ 17

Chunks:
  FalseNegative nam [8,8] = igrzysk

(ChunkerEvaluator) Sentence #2739 from articles/00107852 from sent11

Text  : Dla Polaków te igrzyska zaczęły się tragiczną śmiercią zasłużonego dla ruchu olimpijskiego działacza .
Tokens: 1__ 2______ 3_ 4_______ 5______ 6__ 7________ 8_______ 9__________ 10_ 11___ 12___________ 13_______ 14

Chunks:
  TruePositive nam [2,2] = Polaków (confidence=1.00)
  FalseNegative nam [4,4] = igrzyska

(ChunkerEvaluator) Sentence #2741 from articles/00107852 from sent13

Text  : Już w pierwszym dniu startów złoty medal zdobyła Renata Mauer ,  w  strzelaniu z  karabinka pneumatycznego (  na dystansie 10 m  )  i  odebrała go jako pierwsza medalistka igrzysk w  Atlancie z  rąk przewodniczącego MKOl Juana Antonio Samarancha .
Tokens: 1__ 2 3________ 4___ 5______ 6____ 7____ 8______ 9_____ 10___ 11 12 13________ 14 15_______ 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] = Renata Mauer (confidence=1.00)
  TruePositive nam [31,31] = Atlancie (confidence=0.98)
  TruePositive nam [35,35] = MKOl (confidence=1.00)
  FalsePositive nam [36,36] = Juana (confidence=0.69)
  FalsePositive nam [37,38] = Antonio Samarancha (confidence=0.91)
  FalseNegative nam [29,29] = igrzysk
  FalseNegative nam [36,38] = Juana Antonio Samarancha

(ChunkerEvaluator) Sentence #2749 from articles/00107852 from sent21

Text  : Chińska gimnastyczka Dong Fang - xiao straciła medal brązowy dopiero w  2010 roku .
Tokens: 1______ 2___________ 3___ 4___ 5 6___ 7_______ 8____ 9______ 10_____ 11 12__ 13__ 14

Chunks:
  FalsePositive nam [3,4] = Dong Fang (confidence=1.00)
  FalseNegative nam [3,6] = Dong Fang - xiao

(ChunkerEvaluator) Sentence #2751 from articles/00107852 from sent23

Text  : Przepisy stanowiły , że aby występować w igrzyskach trzeba skończyć 16 lat w  roku olimpijskim .
Tokens: 1_______ 2________ 3 4_ 5__ 6_________ 7 8_________ 9_____ 10______ 11 12_ 13 14__ 15_________ 16

Chunks:
  FalseNegative nam [8,8] = igrzyskach

(ChunkerEvaluator) Sentence #2761 from articles/00107852 from sent33

Text  : Utraciły złote medale igrzysk w Sydney .
Tokens: 1_______ 2____ 3_____ 4______ 5 6_____ 7

Chunks:
  TruePositive nam [6,6] = Sydney (confidence=1.00)
  FalseNegative nam [4,4] = igrzysk

2016-11-04 12:06:46,189 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 145 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107853.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107853.ini
(ChunkerEvaluator) Sentence #2762 from articles/00107853 from sent1

Text  : Kujawsko - pomorskie .
Tokens: 1_______ 2 3________ 4

Chunks:
  FalseNegative nam [1,3] = Kujawsko - pomorskie

(ChunkerEvaluator) Sentence #2763 from articles/00107853 from sent2

Text  : Wda w okolicy Tlenia niedostępna dla kajakarzy
Tokens: 1__ 2 3______ 4_____ 5__________ 6__ 7________

Chunks:
  TruePositive nam [4,4] = Tlenia (confidence=0.89)
  FalseNegative nam [1,1] = Wda

(ChunkerEvaluator) Sentence #2764 from articles/00107853 from sent3

Text  : Niedostępny dla kajakarzy jest około 7 - kilometrowy odcinek Wdy na odcinku Stara Rzeka -  Tleń w  województwie kujawsko -  pomorskim ,  na którego części leży około tysiąca drzew powalonych przez trąbę powietrzną .
Tokens: 1__________ 2__ 3________ 4___ 5____ 6 7 8__________ 9______ 10_ 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] = Wdy (confidence=0.88)
  TruePositive nam [13,14] = Stara Rzeka (confidence=1.00)
  TruePositive nam [16,16] = Tleń (confidence=0.52)
  FalseNegative nam [19,21] = kujawsko - pomorskim

2016-11-04 12:06:46,252 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 146 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107854.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107854.ini
(ChunkerEvaluator) Sentence #2779 from articles/00107854 from sent1

Text  : Opole na zdjęciach , wielka wystawa fotografii .
Tokens: 1____ 2_ 3________ 4 5_____ 6______ 7_________ 8

Chunks:
  FalseNegative nam [1,1] = Opole

(ChunkerEvaluator) Sentence #2780 from articles/00107854 from sent2

Text  : Opolskie Towarzystwo Fotograficzne zaprasza na wernisaż wystawy pt . „  Moje Opole ”
Tokens: 1_______ 2__________ 3____________ 4_______ 5_ 6_______ 7______ 8_ 9 10 11__ 12___ 13

Chunks:
  TruePositive nam [11,12] = Moje Opole (confidence=0.98)
  FalsePositive nam [2,3] = Towarzystwo Fotograficzne (confidence=0.55)
  FalseNegative nam [1,3] = Opolskie Towarzystwo Fotograficzne

(ChunkerEvaluator) Sentence #2785 from articles/00107854 from sent7

Text  : Opolskiego Towarzystwa Fotograficznego pt . " Moje Opole " ,  która odbędzie się o  godz .  19 w  Piwnicy Artystycznej NCPP przy ul .  Piastowskiej 14 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

Chunks:
  TruePositive nam [7,8] = Moje Opole (confidence=0.88)
  TruePositive nam [25,25] = Piastowskiej (confidence=1.00)
  FalsePositive nam [19,21] = Piwnicy Artystycznej NCPP (confidence=1.00)
  FalseNegative nam [1,3] = Opolskiego Towarzystwa Fotograficznego
  FalseNegative nam [19,20] = Piwnicy Artystycznej
  FalseNegative nam [21,21] = NCPP

2016-11-04 12:06:46,288 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 147 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107855.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107855.ini
(ChunkerEvaluator) Sentence #2794 from articles/00107855 from sent8

Text  : Prokuratura właśnie skierowała do niego akt oskarżenia , stawiając bandytom aż 22 zarzuty .
Tokens: 1__________ 2______ 3_________ 4_ 5____ 6__ 7_________ 8 9________ 10______ 11 12 13_____ 14

Chunks:
  FalseNegative nam [1,1] = Prokuratura

(ChunkerEvaluator) Sentence #2804 from articles/00107855 from sent18

Text  : Działali od maja do września ubiegłego roku , na terenie całego miasta ,  nie ograniczając się do jakiejś jednej dzielnicy (  w  akcie oskarżenia mówi się m  .  in .  o  kradzieżach przy al .  Armii Krajowej ,  ulicach Warszawskiej czy Ludowej ,  a  także w  Woli Kiedrzyńskiej czy w  Myszkowie )  -  opowiada rzecznik Prokuratury Okręgowej w  Częstochowie Romuald Basiński .
Tokens: 1_______ 2_ 3___ 4_ 5_______ 6________ 7___ 8 9_ 10_____ 11____ 12____ 13 14_ 15__________ 16_ 17 18_____ 19____ 20_______ 21 22 23___ 24________ 25__ 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 [36,37] = Armii Krajowej (confidence=1.00)
  TruePositive nam [47,48] = Woli Kiedrzyńskiej (confidence=1.00)
  TruePositive nam [51,51] = Myszkowie (confidence=1.00)
  TruePositive nam [56,57] = Prokuratury Okręgowej (confidence=1.00)
  TruePositive nam [59,59] = Częstochowie (confidence=1.00)
  TruePositive nam [60,61] = Romuald Basiński (confidence=0.98)
  FalsePositive nam [40,42] = Warszawskiej czy Ludowej (confidence=0.99)
  FalseNegative nam [40,40] = Warszawskiej
  FalseNegative nam [42,42] = Ludowej

(ChunkerEvaluator) Sentence #2805 from articles/00107855 from sent19

Text  : - Policja zatrzymała ich jesienią .
Tokens: 1 2______ 3_________ 4__ 5_______ 6

Chunks:
  FalseNegative nam [2,2] = Policja

(ChunkerEvaluator) Sentence #2808 from articles/00107855 from sent22

Text  : Trzej z nich to recydywiści : Marcin S . -  ktoś w  rodzaju przywódcy ,  wcześniej wielokrotnie karany za przestępstwa pospolite ,  Sebastian K  .  i  Rafał Z  .  Osadzeni w  areszcie ,  czekają tam na proces .
Tokens: 1____ 2 3___ 4_ 5__________ 6 7_____ 8 9 10 11__ 12 13_____ 14_______ 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 [7,9] = Marcin S . (confidence=1.00)
  TruePositive nam [23,25] = Sebastian K . (confidence=1.00)
  FalsePositive nam [27,30] = Rafał Z . Osadzeni (confidence=0.98)
  FalseNegative nam [27,29] = Rafał Z .

(ChunkerEvaluator) Sentence #2809 from articles/00107855 from sent23

Text  : Czwarty członek bandy - Sebastian P . - jest na razie na wolności ,  choć objęty dozorem policji .
Tokens: 1______ 2______ 3____ 4 5________ 6 7 8 9___ 10 11___ 12 13______ 14 15__ 16____ 17_____ 18_____ 19

Chunks:
  FalsePositive nam [5,6] = Sebastian P (confidence=1.00)
  FalseNegative nam [5,7] = Sebastian P .

2016-11-04 12:06:46,403 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 148 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107859.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107859.ini
(ChunkerEvaluator) Sentence #2819 from articles/00107859 from sent3

Text  : Próbka włosów została by poddana badaniom genetycznym DNA .
Tokens: 1_____ 2_____ 3______ 4_ 5______ 6_______ 7__________ 8__ 9

Chunks:
  FalsePositive nam [8,8] = DNA (confidence=0.93)

(ChunkerEvaluator) Sentence #2825 from articles/00107859 from sent9

Text  : Próbka włosów została by poddana badaniom DNA .
Tokens: 1_____ 2_____ 3______ 4_ 5______ 6_______ 7__ 8

Chunks:
  FalsePositive nam [7,7] = DNA (confidence=0.98)

(ChunkerEvaluator) Sentence #2829 from articles/00107859 from sent13

Text  : Diana , która zginęła w wypadku samochodowym w Paryżu w  1997 r  .  ,  rozwiodła się księciem Karolem po wyjściu na jaw rewelacji o  zdradach małżeńskich obu stron :  następcy tronu z  Camilą Parker Bowles i  księżnej z  byłym oficerem brytyjskiej armii Jamesem Hewittem .
Tokens: 1____ 2 3____ 4______ 5 6______ 7___________ 8 9_____ 10 11__ 12 13 14 15_______ 16_ 17______ 18_____ 19 20_____ 21 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] = Paryżu (confidence=1.00)
  TruePositive nam [18,18] = Karolem (confidence=1.00)
  TruePositive nam [33,35] = Camilą Parker Bowles (confidence=1.00)
  TruePositive nam [43,44] = Jamesem Hewittem (confidence=1.00)
  FalseNegative nam [1,1] = Diana

2016-11-04 12:06:46,469 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 149 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107860.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107860.ini
2016-11-04 12:06:46,534 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 150 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107862.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107862.ini
(ChunkerEvaluator) Sentence #2853 from articles/00107862 from sent1

Text  : Londyn - Fularczyk : w końcu uwierzyła m , że wystąpię na igrzyskach
Tokens: 1_____ 2 3________ 4 5 6____ 7________ 8 9 10 11______ 12 13________

Chunks:
  TruePositive nam [1,1] = Londyn (confidence=0.96)
  TruePositive nam [3,3] = Fularczyk (confidence=0.98)
  FalseNegative nam [13,13] = igrzyskach

(ChunkerEvaluator) Sentence #2854 from articles/00107862 from sent2

Text  : Wioślarka Magdalena Fularczyk z dwójki podwójnej kwalifikację olimpijską wywalczyła 11 miesięcy temu ,  ale jak przyznała ,  dopiero po przylocie do Londynu ,  uwierzyła ,  że wystąpi na igrzyskach .
Tokens: 1________ 2________ 3________ 4 5_____ 6________ 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 [2,3] = Magdalena Fularczyk (confidence=0.98)
  TruePositive nam [22,22] = Londynu (confidence=1.00)
  FalseNegative nam [29,29] = igrzyskach

(ChunkerEvaluator) Sentence #2858 from articles/00107862 from sent6

Text  : Na razie wszystko oglądam i chłonę " - powiedziała PAP wioślarka Lotto Bydgostii WSG Bydgoszcz .
Tokens: 1_ 2____ 3_______ 4______ 5 6_____ 7 8 9__________ 10_ 11_______ 12___ 13_______ 14_ 15_______ 16

Chunks:
  TruePositive nam [10,10] = PAP (confidence=1.00)
  FalsePositive nam [12,15] = Lotto Bydgostii WSG Bydgoszcz (confidence=1.00)
  FalseNegative nam [12,13] = Lotto Bydgostii
  FalseNegative nam [14,15] = WSG Bydgoszcz

(ChunkerEvaluator) Sentence #2865 from articles/00107862 from sent13

Text  : Partnerka Fularczyk Julia Michalska na igrzyskach wystąpi po raz drugi .
Tokens: 1________ 2________ 3____ 4________ 5_ 6_________ 7______ 8_ 9__ 10___ 11

Chunks:
  FalsePositive nam [2,4] = Fularczyk Julia Michalska (confidence=1.00)
  FalseNegative nam [2,2] = Fularczyk
  FalseNegative nam [3,4] = Julia Michalska
  FalseNegative nam [6,6] = igrzyskach

(ChunkerEvaluator) Sentence #2867 from articles/00107862 from sent15

Text  : Podczas igrzysk w stolicy Chin wioślarze mieszkali razem z innymi sportowcami .
Tokens: 1______ 2______ 3 4______ 5___ 6________ 7________ 8____ 9 10____ 11_________ 12

Chunks:
  TruePositive nam [5,5] = Chin (confidence=1.00)
  FalseNegative nam [2,2] = igrzysk

2016-11-04 12:06:46,623 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 151 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107863.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107863.ini
(ChunkerEvaluator) Sentence #2880 from articles/00107863 from sent2

Text  : ( Advocating for Abortion Access : Eleven Country Study )  Federacja na Rzecz Kobiet i  Planowania Rodziny ,  Warszawa 2002
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] = Warszawa (confidence=0.99)
  FalsePositive nam [2,2] = Advocating (confidence=0.71)
  FalsePositive nam [4,5] = Abortion Access (confidence=1.00)
  FalsePositive nam [7,14] = Eleven Country Study ) Federacja na Rzecz Kobiet (confidence=0.99)
  FalsePositive nam [16,17] = Planowania Rodziny (confidence=0.84)
  FalseNegative nam [11,17] = Federacja na Rzecz Kobiet i Planowania Rodziny

(ChunkerEvaluator) Sentence #2882 from articles/00107863 from sent4

Text  : Z lektury możemy dowiedzieć się między innymi , co dokładnie oznaczają takie terminy jak :  dostępność przerywania ciąży ,  czyn karalny ,  czy Inicjatywa Jahannesburska .
Tokens: 1 2______ 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 [24,25] = Inicjatywa Jahannesburska (confidence=1.00)
  FalseNegative nam [24,26] = Inicjatywa Jahannesburska .

(ChunkerEvaluator) Sentence #2885 from articles/00107863 from sent7

Text  : Publikacja dostępna w : Federacji na rzecz Kobiet i Planowania Rodziny ,  ul .  Nowolipie 13 /  15 ,  00 -  150 Warszawa ,  tel .  (  0  -  prefiks -  22 )  635 93 92 ,  887 81 40 ,  e  -  mail :  federkob @  waw .  pdi .  net ,  www.federa.org.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_______________

Chunks:
  TruePositive nam [15,15] = Nowolipie (confidence=1.00)
  TruePositive nam [23,23] = Warszawa (confidence=0.99)
  TruePositive nam [54,54] = www.federa.org.pl (confidence=0.67)
  FalsePositive nam [8,8] = Kobiet (confidence=0.48)
  FalsePositive nam [10,11] = Planowania Rodziny (confidence=0.80)
  FalseNegative nam [5,11] = Federacji na rzecz Kobiet i Planowania Rodziny
  FalseNegative nam [46,52] = federkob @ waw . pdi . net

2016-11-04 12:06:46,668 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 152 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107866.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107866.ini
(ChunkerEvaluator) Sentence #2888 from articles/00107866 from sent3

Text  : Zespół Szkół nr 18 przy ul . Poznańskiej we Wrocławiu zaprasza na sesję „  Euroregiony polską drogą do integracji europejskiej ?  ”  w  środę 18 grudnia o  godz .  11 w  sali 403 .
Tokens: 1_____ 2____ 3_ 4_ 5___ 6_ 7 8__________ 9_ 10_______ 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 [1,4] = Zespół Szkół nr 18 (confidence=0.97)
  TruePositive nam [8,8] = Poznańskiej (confidence=1.00)
  TruePositive nam [10,10] = Wrocławiu (confidence=1.00)
  FalseNegative nam [15,21] = Euroregiony polską drogą do integracji europejskiej ?

2016-11-04 12:06:46,683 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 153 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107867.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107867.ini
(ChunkerEvaluator) Sentence #2894 from articles/00107867 from sent6

Text  : Prezes NFZ Agnieszka Pachciarz , która przedstawiała projekt na posiedzeniach sejmowych komisji zapewniała ,  że został on przygotowany w  oparciu o  wskaźniki makroekonomiczne przekazane przez Ministerstwo Finansów .
Tokens: 1_____ 2__ 3________ 4________ 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] = Ministerstwo Finansów (confidence=1.00)
  FalsePositive nam [2,4] = NFZ Agnieszka Pachciarz (confidence=0.85)
  FalseNegative nam [2,2] = NFZ
  FalseNegative nam [3,4] = Agnieszka Pachciarz

2016-11-04 12:06:46,834 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 154 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107868.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107868.ini
(ChunkerEvaluator) Sentence #2909 from articles/00107868 from sent1

Text  : Proziaki , chrupaczki , fuczki - smakołyki kuchni Podkarpacia
Tokens: 1_______ 2 3_________ 4 5_____ 6 7________ 8_____ 9__________

Chunks:
  TruePositive nam [9,9] = Podkarpacia (confidence=1.00)
  FalsePositive nam [1,1] = Proziaki (confidence=0.84)

(ChunkerEvaluator) Sentence #2910 from articles/00107868 from sent2

Text  : Proziaki , chrupaczki , korowaj , fuczki , hałuszki to niektóre z  przysmaków znanych i  popularnych tylko na Podkarpaciu .
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] = Podkarpaciu (confidence=1.00)
  FalsePositive nam [1,1] = Proziaki (confidence=0.84)

(ChunkerEvaluator) Sentence #2912 from articles/00107868 from sent4

Text  : Autor " Leksykonu podkarpackich smaków " Krzysztof Zieliński powiedział PAP ,  że kuchnia podkarpacka jest niejednorodna ,  różna stylistycznie ,  bo wpływ na nią przez wieki miały różne tradycje narodowe i  etniczne :  polska dworska kresowa ,  chłopska (  np .  lasowiacka )  ,  pasterska wołoska (  z  której wywodzą się kuchnie Łemków i  Bojków )  oraz żydowska ,  węgierska i  austriacka .
Tokens: 1____ 2 3________ 4____________ 5_____ 6 7________ 8________ 9_________ 10_ 11 12 13_____ 14_________ 15__ 16___________ 17 18___ 19___________ 20 21 22___ 23 24_ 25___ 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 [7,8] = Krzysztof Zieliński (confidence=1.00)
  TruePositive nam [10,10] = PAP (confidence=1.00)
  TruePositive nam [53,53] = Łemków (confidence=1.00)
  TruePositive nam [55,55] = Bojków (confidence=0.99)
  FalseNegative nam [3,5] = Leksykonu podkarpackich smaków

(ChunkerEvaluator) Sentence #2917 from articles/00107868 from sent9

Text  : Proziaki to rodzaj placuszków z mąki , kwaśnego mleka ,  sody i  soli .
Tokens: 1_______ 2_ 3_____ 4_________ 5 6___ 7 8_______ 9____ 10 11__ 12 13__ 14

Chunks:
  FalsePositive nam [1,1] = Proziaki (confidence=0.86)

(ChunkerEvaluator) Sentence #2921 from articles/00107868 from sent13

Text  : I tak np . kuchnie pasterskie ( łemkowska i bojkowska )  z  Beskidu Niskiego i  Bieszczadów były proste i  ubogie .
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 [13,16] = Beskidu Niskiego i Bieszczadów (confidence=1.00)
  FalseNegative nam [13,14] = Beskidu Niskiego
  FalseNegative nam [16,16] = Bieszczadów

(ChunkerEvaluator) Sentence #2924 from articles/00107868 from sent16

Text  : Do dziś w oberży w Polańczyku czy karczmach w Sanoku można zjeść przygotowywane według tradycyjnych receptur dania oparte na wołoskiej tradycji ,  m  .  in .  hałuszki -  kluseczki z  tartych ziemniaków z  jajkiem ,  wrzucane na wrzątek ,  podawane z  mlekiem ,  masłem i  cebulką ;  fuczki czyli placuszki z  masy ziemniaczanej zapiekane lub smażone z  serem lub kapustą ;  stolniki -  pierogi z  tartych ziemniaków ,  pieczone na liściach kapusty .
Tokens: 1_ 2___ 3 4_____ 5 6_________ 7__ 8________ 9 10____ 11___ 12___ 13____________ 14____ 15__________ 16______ 17___ 18____ 19 20_______ 21______ 22 23 24 25 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 [6,6] = Polańczyku (confidence=1.00)
  TruePositive nam [10,10] = Sanoku (confidence=1.00)
  FalsePositive nam [48,48] = fuczki (confidence=0.64)

(ChunkerEvaluator) Sentence #2930 from articles/00107868 from sent22

Text  : Chrupaczki , obok chleba flisackiego , który nawet po dwóch tygodniach nie jest suchy dzięki dodatkowi smażonej słoniny lub smalcu ,  wróciły na stoły w  domach retmanów .
Tokens: 1_________ 2 3___ 4_____ 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 [1,1] = Chrupaczki (confidence=0.92)

2016-11-04 12:06:47,115 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 155 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107870.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107870.ini
(ChunkerEvaluator) Sentence #2943 from articles/00107870 from sent2

Text  : Odrzanka do remontu !
Tokens: 1_______ 2_ 3______ 4

Chunks:
  FalseNegative nam [1,1] = Odrzanka

(ChunkerEvaluator) Sentence #2963 from articles/00107870 from sent22

Text  : Pieniądze będą pochodzić z budżetu państwa - mówi Maciej Dutkiewicz ,  rzecznik Centrum Realizacji Inwestycji PKP PLK .
Tokens: 1________ 2___ 3________ 4 5______ 6______ 7 8___ 9_____ 10________ 11 12______ 13_____ 14________ 15________ 16_ 17_ 18

Chunks:
  TruePositive nam [9,10] = Maciej Dutkiewicz (confidence=1.00)
  FalsePositive nam [13,15] = Centrum Realizacji Inwestycji (confidence=1.00)
  FalsePositive nam [16,17] = PKP PLK (confidence=0.64)

(ChunkerEvaluator) Sentence #2964 from articles/00107870 from sent23

Text  : Linia nr 273 , zwana Odrzanką biegnie od Wrocławia do Szczecina .
Tokens: 1____ 2_ 3__ 4 5____ 6_______ 7______ 8_ 9________ 10 11_______ 12

Chunks:
  TruePositive nam [6,6] = Odrzanką (confidence=1.00)
  TruePositive nam [9,9] = Wrocławia (confidence=1.00)
  TruePositive nam [11,11] = Szczecina (confidence=0.99)
  FalsePositive nam [1,3] = Linia nr 273 (confidence=0.85)

2016-11-04 12:06:47,269 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 156 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107871.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107871.ini
(ChunkerEvaluator) Sentence #3000 from articles/00107871 from sent1

Text  : Collymore piłkarzem Realu Oviedo
Tokens: 1________ 2________ 3____ 4_____

Chunks:
  TruePositive nam [3,4] = Realu Oviedo (confidence=1.00)
  FalseNegative nam [1,1] = Collymore

(ChunkerEvaluator) Sentence #3001 from articles/00107871 from sent2

Text  : Collymore piłkarzem Realu Oviedo
Tokens: 1________ 2________ 3____ 4_____

Chunks:
  TruePositive nam [3,4] = Realu Oviedo (confidence=1.00)
  FalseNegative nam [1,1] = Collymore

(ChunkerEvaluator) Sentence #3002 from articles/00107871 from sent3

Text  : Collymore w Hiszpanii
Tokens: 1________ 2 3________

Chunks:
  TruePositive nam [3,3] = Hiszpanii (confidence=1.00)
  FalseNegative nam [1,1] = Collymore

2016-11-04 12:06:47,304 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 157 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107872.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107872.ini
(ChunkerEvaluator) Sentence #3010 from articles/00107872 from sent1

Text  : Londyn 2012 .
Tokens: 1_____ 2___ 3

Chunks:
  FalsePositive nam [1,2] = Londyn 2012 (confidence=0.99)
  FalseNegative nam [1,1] = Londyn

(ChunkerEvaluator) Sentence #3016 from articles/00107872 from sent7

Text  : Wygrał amerykański phelps bis , czyli Ryan Lochte .
Tokens: 1_____ 2__________ 3_____ 4__ 5 6____ 7___ 8_____ 9

Chunks:
  TruePositive nam [7,8] = Ryan Lochte (confidence=1.00)
  FalseNegative nam [3,3] = phelps

(ChunkerEvaluator) Sentence #3028 from articles/00107872 from sent19

Text  : Phelps zdobył w sumie 16 medali olimpijskich , w tym czternaście złotych ,  w  tym 9  w  konkurencjach olimpijskich .
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] = Phelps (confidence=0.85)
  FalsePositive nam [12,12] = złotych (confidence=0.78)

(ChunkerEvaluator) Sentence #3034 from articles/00107872 from sent25

Text  : W dwóch idywidualnych konkurencjach będzie miał do czynienia z najlepszymi Polakami -  Konradem czerniakiem na 100 m  motylkiem i  z  Pawłem Korzeniowskim na 200 m  motylkiem .
Tokens: 1 2____ 3____________ 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] = Polakami (confidence=1.00)
  TruePositive nam [21,22] = Pawłem Korzeniowskim (confidence=1.00)
  FalsePositive nam [13,13] = Konradem (confidence=0.64)
  FalseNegative nam [13,14] = Konradem czerniakiem

2016-11-04 12:06:47,404 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 158 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107873.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107873.ini
(ChunkerEvaluator) Sentence #3051 from articles/00107873 from sent7

Text  : Czesi grali w piłkę , a niebiescy za nią gonili .
Tokens: 1____ 2____ 3 4____ 5 6 7________ 8_ 9__ 10____ 11

Chunks:
  FalseNegative nam [7,7] = niebiescy

(ChunkerEvaluator) Sentence #3055 from articles/00107873 from sent11

Text  : Viktoria , jak na drużynę , która w poprzednim sezonie grała w  fazie grupowej Ligi Mistrzów z  Barceloną i  AC Milan ,  pewnie wypunktowała niebieskich .
Tokens: 1_______ 2 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] = Viktoria (confidence=0.96)
  TruePositive nam [15,16] = Ligi Mistrzów (confidence=1.00)
  TruePositive nam [18,18] = Barceloną (confidence=0.99)
  TruePositive nam [20,21] = AC Milan (confidence=0.99)
  FalseNegative nam [25,25] = niebieskich

(ChunkerEvaluator) Sentence #3066 from articles/00107873 from sent22

Text  : Ruch na pewno był lepszym przeciwnikiem niż nasz wcześniej rywal w  Lidze Europejskiej ,  czyli gruzińskie Metalurgi Rustawi .
Tokens: 1___ 2_ 3____ 4__ 5______ 6____________ 7__ 8___ 9________ 10___ 11 12___ 13__________ 14 15___ 16________ 17_______ 18_____ 19

Chunks:
  TruePositive nam [12,13] = Lidze Europejskiej (confidence=1.00)
  TruePositive nam [17,18] = Metalurgi Rustawi (confidence=0.96)
  FalseNegative nam [1,1] = Ruch

2016-11-04 12:06:47,479 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 159 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107874.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107874.ini
(ChunkerEvaluator) Sentence #3070 from articles/00107874 from sent2

Text  : Niedługo trwała przygoda olsztynianki ze sportowymi arenami w Londynie .
Tokens: 1_______ 2_____ 3_______ 4___________ 5_ 6_________ 7______ 8 9_______ 10

Chunks:
  TruePositive nam [9,9] = Londynie (confidence=1.00)
  FalseNegative nam [4,4] = olsztynianki

(ChunkerEvaluator) Sentence #3071 from articles/00107874 from sent3

Text  : Polka przegrała w swojej pierwszej walce z faworytką do złota w  kategorii +  78 kg Chinką Tong Wen i  zakończyła tym samym swój udział w  turnieju .
Tokens: 1____ 2________ 3 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] = Polka (confidence=0.97)
  FalsePositive nam [16,18] = Chinką Tong Wen (confidence=1.00)
  FalseNegative nam [16,16] = Chinką
  FalseNegative nam [17,18] = Tong Wen

(ChunkerEvaluator) Sentence #3073 from articles/00107874 from sent5

Text  : Przypomnijmy , że Paweł Zagrodnik przegrał walkę o brązowy medal z  Japończykiem Masashim Ebinumą ,  natomiast Daria Pogorzelec uległa Węgierce Abigel Joo w  pojedynku repasażowym .
Tokens: 1___________ 2 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] = Paweł Zagrodnik (confidence=1.00)
  TruePositive nam [12,12] = Japończykiem (confidence=1.00)
  TruePositive nam [13,14] = Masashim Ebinumą (confidence=0.85)
  TruePositive nam [17,18] = Daria Pogorzelec (confidence=1.00)
  FalsePositive nam [20,22] = Węgierce Abigel Joo (confidence=1.00)
  FalseNegative nam [20,20] = Węgierce
  FalseNegative nam [21,22] = Abigel Joo

(ChunkerEvaluator) Sentence #3075 from articles/00107874 from sent7

Text  : Sadkowska od początku mówiła , że do Londynu jedzie walczyć o  złoto .
Tokens: 1________ 2_ 3_______ 4_____ 5 6_ 7_ 8______ 9_____ 10_____ 11 12___ 13

Chunks:
  TruePositive nam [8,8] = Londynu (confidence=1.00)
  FalseNegative nam [1,1] = Sadkowska

(ChunkerEvaluator) Sentence #3077 from articles/00107874 from sent9

Text  : Co prawda w pierwszej rundzie olsztynianka miała wolny los ,  ale już w  kolejnej przyszło jej się zmierzyć z  główną kandydatką do zwycięstwa w  całych zawodach .
Tokens: 1_ 2_____ 3 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 [6,6] = olsztynianka

(ChunkerEvaluator) Sentence #3079 from articles/00107874 from sent11

Text  : - Olimpiada to już taki poziom , że leszczy tu nie ma .
Tokens: 1 2________ 3_ 4__ 5___ 6_____ 7 8_ 9______ 10 11_ 12 13

Chunks:
  FalseNegative nam [2,2] = Olimpiada

(ChunkerEvaluator) Sentence #3080 from articles/00107874 from sent12

Text  : Mimo wielkich chęci olsztynianka nie miała nic do powiedzenia w  pojedynku z  Chinką ,  która od początku zdominowała walkę i  po niespełna minucie na jej koncie pojawiło się yuko .
Tokens: 1___ 2_______ 3____ 4___________ 5__ 6____ 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] = Chinką (confidence=1.00)
  FalseNegative nam [4,4] = olsztynianka

(ChunkerEvaluator) Sentence #3081 from articles/00107874 from sent13

Text  : Sadkowska nie umiała odpowiedzieć skutecznymi akcjami .
Tokens: 1________ 2__ 3_____ 4___________ 5__________ 6______ 7

Chunks:
  FalseNegative nam [1,1] = Sadkowska

2016-11-04 12:06:47,549 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 160 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107878.xml
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(ChunkerEvaluator) Sentence #3101 from articles/00107878 from sent18

Text  : Simon i Liberty świetnie czuli się w swoim towarzystwie .
Tokens: 1____ 2 3______ 4_______ 5____ 6__ 7 8____ 9___________ 10

Chunks:
  TruePositive nam [3,3] = Liberty (confidence=0.99)
  FalseNegative nam [1,1] = Simon

2016-11-04 12:06:47,636 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 161 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107879.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107879.ini
(ChunkerEvaluator) Sentence #3116 from articles/00107879 from sent2

Text  : Victoria na początek sezonu zagra z Pilicą .
Tokens: 1_______ 2_ 3_______ 4_____ 5____ 6 7_____ 8

Chunks:
  TruePositive nam [7,7] = Pilicą (confidence=1.00)
  FalseNegative nam [1,1] = Victoria

(ChunkerEvaluator) Sentence #3123 from articles/00107879 from sent9

Text  : Zarówno częstochowianie , jak i piłkarze z Koniecpola będą chcieli wygrać .
Tokens: 1______ 2______________ 3 4__ 5 6_______ 7 8_________ 9___ 10_____ 11____ 12

Chunks:
  TruePositive nam [8,8] = Koniecpola (confidence=1.00)
  FalseNegative nam [2,2] = częstochowianie

(ChunkerEvaluator) Sentence #3127 from articles/00107879 from sent13

Text  : Victorii .
Tokens: 1_______ 2

Chunks:
  FalseNegative nam [1,1] = Victorii

(ChunkerEvaluator) Sentence #3129 from articles/00107879 from sent15

Text  : - Pilica ma w składzie zawodników , którzy jeszcze w  poprzednim sezonie grali u  nas .
Tokens: 1 2_____ 3_ 4 5_______ 6_________ 7 8_____ 9______ 10 11________ 12_____ 13___ 14 15_ 16

Chunks:
  FalseNegative nam [2,2] = Pilica

(ChunkerEvaluator) Sentence #3141 from articles/00107879 from sent27

Text  : Na wyjazdach zagrają Zieloni Żarki i beniaminek IV ligi Lot Konopiska .
Tokens: 1_ 2________ 3______ 4______ 5____ 6 7_________ 8_ 9___ 10_ 11_______ 12

Chunks:
  TruePositive nam [4,5] = Zieloni Żarki (confidence=1.00)
  TruePositive nam [10,11] = Lot Konopiska (confidence=1.00)
  FalsePositive nam [8,8] = IV (confidence=0.53)

2016-11-04 12:06:47,715 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 162 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107880.xml
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(ChunkerEvaluator) Sentence #3143 from articles/00107880 from sent1

Text  : Design jest fajny.pl
Tokens: 1_____ 2___ 3_______

Chunks:
  FalsePositive nam [3,3] = fajny.pl (confidence=0.84)
  FalseNegative nam [1,3] = Design jest fajny.pl

(ChunkerEvaluator) Sentence #3154 from articles/00107880 from sent12

Text  : Okazało się , że są i jest ich niemało -  mówi Agata Ziółkiewicz ,  autorka bloga http://ilikedesign.blox.pl .  Jej ulubiony temat to wzornictwo skandynawskie .
Tokens: 1______ 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] = Agata Ziółkiewicz (confidence=1.00)
  FalseNegative nam [17,17] = http://ilikedesign.blox.pl

(ChunkerEvaluator) Sentence #3160 from articles/00107880 from sent18

Text  : Jeden z najpopularniejszych - http://babeczkaa.blox.pl , działa już ponad cztery lata .
Tokens: 1____ 2 3__________________ 4 5_______________________ 6 7_____ 8__ 9____ 10____ 11__ 12

Chunks:
  FalseNegative nam [5,5] = http://babeczkaa.blox.pl

(ChunkerEvaluator) Sentence #3162 from articles/00107880 from sent20

Text  : Z czasem zaczęła m dostrzegać potrzebę podzielenia się z czytelnikami najnowszymi trendami w  aranżacji wnętrz ,  nowościami produktowymi ,  a  także absurdami ,  których przecież nie brak w  tej dziedzinie -  mówi „  babeczkaa "  .
Tokens: 1 2_____ 3______ 4 5_________ 6_______ 7__________ 8__ 9 10__________ 11_________ 12______ 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 [34,34] = babeczkaa

(ChunkerEvaluator) Sentence #3169 from articles/00107880 from sent27

Text  : - Często zaglądam na http://lookslikegooddesign.com , www.behance.net i www.dezeen.com -  przyznaje Agnieszka Mazur ,  autorka http://dontstopdesign.blogspot.com .
Tokens: 1 2_____ 3_______ 4_ 5_____________________________ 6 7______________ 8 9_____________ 10 11_______ 12_______ 13___ 14 15_____ 16________________________________ 17

Chunks:
  TruePositive nam [12,13] = Agnieszka Mazur (confidence=1.00)
  FalseNegative nam [5,5] = http://lookslikegooddesign.com
  FalseNegative nam [7,7] = www.behance.net
  FalseNegative nam [9,9] = www.dezeen.com
  FalseNegative nam [16,16] = http://dontstopdesign.blogspot.com

(ChunkerEvaluator) Sentence #3170 from articles/00107880 from sent28

Text  : Agata Ziółkiewicz lubi też www.desiretoinspire.blogspot.com i http://emmas.blogg.se .
Tokens: 1____ 2__________ 3___ 4__ 5_______________________________ 6 7____________________ 8

Chunks:
  TruePositive nam [1,2] = Agata Ziółkiewicz (confidence=0.99)
  FalseNegative nam [5,5] = www.desiretoinspire.blogspot.com
  FalseNegative nam [7,7] = http://emmas.blogg.se

(ChunkerEvaluator) Sentence #3171 from articles/00107880 from sent29

Text  : - Z polskich bardzo sobie cenię Cebritę ( http://cebrita.blox.pl )
Tokens: 1 2 3_______ 4_____ 5____ 6____ 7______ 8 9_____________________ 10

Chunks:
  TruePositive nam [7,7] = Cebritę (confidence=0.99)
  FalseNegative nam [9,9] = http://cebrita.blox.pl

(ChunkerEvaluator) Sentence #3172 from articles/00107880 from sent30

Text  : oraz blog Szymona Błaszczyka ( http://szymon.tumblr.com ) , choć nie jest on blogiem stricte designerskim -  dodaje .
Tokens: 1___ 2___ 3______ 4_________ 5 6_______________________ 7 8 9___ 10_ 11__ 12 13_____ 14_____ 15__________ 16 17____ 18

Chunks:
  TruePositive nam [3,4] = Szymona Błaszczyka (confidence=0.99)
  FalseNegative nam [6,6] = http://szymon.tumblr.com

(ChunkerEvaluator) Sentence #3176 from articles/00107880 from sent34

Text  : Agata Ziółkiewicz i „ babeczkaa " już piszą dla serwisów Domosfera.pl i  Rzeczowo.pl .  Z  kolei Agnieszka Pasieka ,  autorka bloga http://atoato-design.blogspot.com ,  dostaje też propozycje współpracy od wydawnictw i  fotografików .
Tokens: 1____ 2__________ 3 4 5________ 6 7__ 8____ 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] = Agata Ziółkiewicz (confidence=0.99)
  TruePositive nam [11,11] = Domosfera.pl (confidence=1.00)
  TruePositive nam [13,13] = Rzeczowo.pl (confidence=1.00)
  TruePositive nam [17,18] = Agnieszka Pasieka (confidence=1.00)
  FalseNegative nam [5,5] = babeczkaa
  FalseNegative nam [22,22] = http://atoato-design.blogspot.com

2016-11-04 12:06:47,827 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 163 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107881.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107881.ini
(ChunkerEvaluator) Sentence #3185 from articles/00107881 from sent9

Text  : Wyremontowane zostaną przejścia podziemne pod Wisłostradą w rejonie ul .  Boleść i  Grodzkiej ,  zaplanowano trzy piesze place -  Mostowy (  w  rejonie ul .  Boleść )  ,  Staromiejski (  na wysokości Podzamcza )  oraz Pod Zamkiem Królewskim (  w  rejonie Grodzkiej )  .
Tokens: 1____________ 2______ 3________ 4________ 5__ 6__________ 7 8______ 9_ 10 11____ 12 13_______ 14 15_________ 16__ 17____ 18___ 19 20_____ 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 [6,6] = Wisłostradą (confidence=0.99)
  TruePositive nam [11,11] = Boleść (confidence=1.00)
  TruePositive nam [20,20] = Mostowy (confidence=0.97)
  TruePositive nam [26,26] = Boleść (confidence=1.00)
  TruePositive nam [29,29] = Staromiejski (confidence=0.94)
  TruePositive nam [33,33] = Podzamcza (confidence=0.99)
  TruePositive nam [36,38] = Pod Zamkiem Królewskim (confidence=1.00)
  TruePositive nam [42,42] = Grodzkiej (confidence=1.00)
  FalseNegative nam [13,13] = Grodzkiej

2016-11-04 12:06:47,917 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 164 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107882.xml
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(ChunkerEvaluator) Sentence #3223 from articles/00107882 from sent25

Text  : Myśle , że jeśli będziemy grali cały czas tak jak w  pierwszej połowie ,  to będzie dobrze .
Tokens: 1____ 2 3_ 4____ 5_______ 6____ 7___ 8___ 9__ 10_ 11 12_______ 13_____ 14 15 16____ 17____ 18

Chunks:
  FalsePositive nam [1,1] = Myśle (confidence=0.66)

2016-11-04 12:06:48,001 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 165 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107883.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107883.ini
(ChunkerEvaluator) Sentence #3236 from articles/00107883 from sent1

Text  : Anglia bez największych gwiazd w meczu z Włochami
Tokens: 1_____ 2__ 3___________ 4_____ 5 6____ 7 8_______

Chunks:
  TruePositive nam [8,8] = Włochami (confidence=1.00)
  FalseNegative nam [1,1] = Anglia

(ChunkerEvaluator) Sentence #3239 from articles/00107883 from sent4

Text  : Oprócz nich w 22 - osobowym składzie zabrakło także czterech klasowych obrońców -  Johna Terry'ego i  Ashleya Cola z  Chelsea Londyn ,  Joleona Lescotta z  Manchesteru City oraz klubowego kolegi Gerrarda z  Liverpoolu Glena Johnsona .
Tokens: 1_____ 2___ 3 4_ 5 6_______ 7_______ 8_______ 9____ 10______ 11_______ 12______ 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 [14,15] = Johna Terry'ego (confidence=0.98)
  TruePositive nam [17,18] = Ashleya Cola (confidence=0.96)
  TruePositive nam [20,21] = Chelsea Londyn (confidence=1.00)
  TruePositive nam [23,24] = Joleona Lescotta (confidence=1.00)
  TruePositive nam [26,27] = Manchesteru City (confidence=1.00)
  TruePositive nam [31,31] = Gerrarda (confidence=1.00)
  FalsePositive nam [33,35] = Liverpoolu Glena Johnsona (confidence=1.00)
  FalseNegative nam [33,33] = Liverpoolu
  FalseNegative nam [34,35] = Glena Johnsona

(ChunkerEvaluator) Sentence #3244 from articles/00107883 from sent9

Text  : Spotkanie z wicemistrzami Europy Włochami będzie sprawdzianem Anglików przed rozpoczynającymi się we wrześniu eliminacjami do mistrzostw świata 2014 .
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] = Anglików (confidence=1.00)
  FalsePositive nam [4,5] = Europy Włochami (confidence=1.00)
  FalsePositive nam [16,17] = mistrzostw świata (confidence=0.78)
  FalseNegative nam [4,4] = Europy
  FalseNegative nam [5,5] = Włochami
  FalseNegative nam [16,18] = mistrzostw świata 2014

2016-11-04 12:06:48,094 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 166 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107885.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107885.ini
(ChunkerEvaluator) Sentence #3252 from articles/00107885 from sent2

Text  : GIEŁDA - SPÓŁKI - KOMUNIKAT - NORDEA
Tokens: 1_____ 2 3_____ 4 5________ 6 7_____

Chunks:
  FalsePositive nam [5,7] = KOMUNIKAT - NORDEA (confidence=0.46)
  FalseNegative nam [7,7] = NORDEA

(ChunkerEvaluator) Sentence #3253 from articles/00107885 from sent3

Text  : ( 40 / 2002 ) Zarząd Nordea Bank Polska S  .  A  .  informuje :
Tokens: 1 2_ 3 4___ 5 6_____ 7_____ 8___ 9_____ 10 11 12 13 14_______ 15

Chunks:
  FalsePositive nam [6,13] = Zarząd Nordea Bank Polska S . A . (confidence=0.59)

(ChunkerEvaluator) Sentence #3254 from articles/00107885 from sent4

Text  : Dnia 19 grudnia 2002 r . ( na podstawie §  27 pkt .  7  Statutu Banku )  Rada Nadzorcza Nordea Bank Polska S  .  A  .  Uchwałą Nr 33 /  2002 z  dnia 19 .  12 .  2002 r  .  dokonała wyboru audytora w  zakresie przeprowadzenia badania sprawozdania finansowego i  skonsolidowanego sprawozdania finansowego Nordea Bank Polska S  .  A  .  za rok 2002 .
Tokens: 1___ 2_ 3______ 4___ 5 6 7 8_ 9________ 10 11 12_ 13 14 15_____ 16___ 17 18__ 19_______ 20____ 21__ 22____ 23 24 25 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 [15,16] = Statutu Banku (confidence=0.98)
  FalsePositive nam [18,28] = Rada Nadzorcza Nordea Bank Polska S . A . Uchwałą Nr (confidence=1.00)
  FalsePositive nam [54,60] = Nordea Bank Polska S . A . (confidence=1.00)
  FalseNegative nam [18,26] = Rada Nadzorcza Nordea Bank Polska S . A .
  FalseNegative nam [27,31] = Uchwałą Nr 33 / 2002
  FalseNegative nam [54,59] = Nordea Bank Polska S . A

(ChunkerEvaluator) Sentence #3255 from articles/00107885 from sent5

Text  : Umowa dotycząca przeprowadzenia badania sprawozdania finansowego i skonsolidowanego sprawozdania finansowego za okres od 1  stycznia 2002 r  .  do 31 grudnia 2002 r  .  zostanie zawarta ze spółką KPMG Polska Audyt Sp .  z  o  .  o  .  z  siedzibą w  Warszawie przy ul .  Chłodnej 51 ,  00 -  867 Warszawa .
Tokens: 1____ 2________ 3______________ 4______ 5___________ 6__________ 7 8_______________ 9___________ 10_________ 11 12___ 13 14 15______ 16__ 17 18 19 20 21_____ 22__ 23 24 25______ 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 [42,42] = Warszawie (confidence=1.00)
  TruePositive nam [46,46] = Chłodnej (confidence=0.96)
  TruePositive nam [52,52] = Warszawa (confidence=0.98)
  FalsePositive nam [29,29] = KPMG (confidence=0.99)
  FalsePositive nam [30,32] = Polska Audyt Sp (confidence=0.71)
  FalseNegative nam [29,38] = KPMG Polska Audyt Sp . z o . o .

(ChunkerEvaluator) Sentence #3256 from articles/00107885 from sent6

Text  : Spółka KPMG Polska Audyt Sp . z o . o  .  wpisana jest na listę podmiotów uprawnionych do badania sprawozdań finansowych pod numerem 458 .
Tokens: 1_____ 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 [2,2] = KPMG (confidence=0.91)
  FalsePositive nam [3,5] = Polska Audyt Sp (confidence=0.82)
  FalseNegative nam [2,11] = KPMG Polska Audyt Sp . z o . o .

2016-11-04 12:06:48,155 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 167 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107886.xml
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(ChunkerEvaluator) Sentence #3261 from articles/00107886 from sent4

Text  : Z tej okazji do Legnicy przyjeżdżają wybitni polscy reżyserzy i  scenarzyści ,  m  .  in .  Witold Giersz ,  twórca przygód misia Colargola Tadeusz Wilkosz ,  a  także Stanisław Lenartowicz -  autor polskiej wersji „  Ulicy Sezamkowej ”
Tokens: 1 2__ 3_____ 4_ 5______ 6___________ 7______ 8_____ 9________ 10 11_________ 12 13 14 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] = Legnicy (confidence=1.00)
  TruePositive nam [17,18] = Witold Giersz (confidence=1.00)
  TruePositive nam [29,30] = Stanisław Lenartowicz (confidence=1.00)
  TruePositive nam [36,37] = Ulicy Sezamkowej (confidence=1.00)
  FalsePositive nam [23,25] = Colargola Tadeusz Wilkosz (confidence=0.99)
  FalseNegative nam [23,23] = Colargola
  FalseNegative nam [24,25] = Tadeusz Wilkosz

(ChunkerEvaluator) Sentence #3271 from articles/00107886 from sent14

Text  : Na początku udało mu się sprowadzić do Legnicy reżysera łódzkiego studia filmowego Se -  ma -  for Daniela Szczechurę i  profesora sztuk filmowych Janusza Marię Tylmana (  ten ostatni przyjechał na jedną z  edycji LAF ,  zamiast świętować z  małżonką rocznicę ślubu )  .
Tokens: 1_ 2_______ 3____ 4_ 5__ 6_________ 7_ 8______ 9_______ 10_______ 11____ 12_______ 13 14 15 16 17_ 18_____ 19________ 20 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 [8,8] = Legnicy (confidence=1.00)
  TruePositive nam [18,19] = Daniela Szczechurę (confidence=1.00)
  TruePositive nam [24,26] = Janusza Marię Tylmana (confidence=1.00)
  TruePositive nam [35,35] = LAF (confidence=0.95)
  FalsePositive nam [13,13] = Se (confidence=0.77)
  FalseNegative nam [13,17] = Se - ma - for

(ChunkerEvaluator) Sentence #3274 from articles/00107886 from sent17

Text  : W tym roku swoją obecność zapowiedzieli m . in .  mistrz animacji Witold Giersz ,  twórca przygód misia Colargola Tadeusz Wilkosz ,  a  także Stanisław Lenartowicz ,  autor polskiej wersji „  Ulicy Sezamkowej ”  ,  oraz reżyser Janusz Tylman -  mówi Lemanowicz -  Sosnowska .
Tokens: 1 2__ 3___ 4____ 5_______ 6____________ 7 8 9_ 10 11____ 12______ 13____ 14____ 15 16____ 17_____ 18___ 19_______ 20_____ 21_____ 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 [13,14] = Witold Giersz (confidence=1.00)
  TruePositive nam [25,26] = Stanisław Lenartowicz (confidence=1.00)
  TruePositive nam [32,33] = Ulicy Sezamkowej (confidence=1.00)
  TruePositive nam [38,39] = Janusz Tylman (confidence=1.00)
  TruePositive nam [42,44] = Lemanowicz - Sosnowska (confidence=1.00)
  FalsePositive nam [19,21] = Colargola Tadeusz Wilkosz (confidence=0.99)
  FalseNegative nam [19,19] = Colargola
  FalseNegative nam [20,21] = Tadeusz Wilkosz

(ChunkerEvaluator) Sentence #3285 from articles/00107886 from sent28

Text  : Kino Piast zaprasza najmłodszych na tradycyjne poranki filmowe .
Tokens: 1___ 2____ 3_______ 4___________ 5_ 6_________ 7______ 8______ 9

Chunks:
  FalsePositive nam [2,2] = Piast (confidence=0.85)
  FalseNegative nam [1,2] = Kino Piast

(ChunkerEvaluator) Sentence #3286 from articles/00107886 from sent29

Text  : To okazja , by na dużym ekranie obejrzeć przygody kultowych bohaterów z  bajek Tadeusza Wilkosza ,  takich jak Smok Barnaba czy Pingwin Pik Pok .
Tokens: 1_ 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] = Tadeusza Wilkosza (confidence=1.00)
  TruePositive nam [19,20] = Smok Barnaba (confidence=1.00)
  FalsePositive nam [22,22] = Pingwin (confidence=1.00)
  FalsePositive nam [23,24] = Pik Pok (confidence=0.65)
  FalseNegative nam [22,24] = Pingwin Pik Pok

(ChunkerEvaluator) Sentence #3290 from articles/00107886 from sent33

Text  : W czwartek wernisaż wystawy „ I LAF animowany świat ”  .
Tokens: 1 2_______ 3_______ 4______ 5 6 7__ 8________ 9____ 10 11

Chunks:
  FalsePositive nam [7,7] = LAF (confidence=1.00)
  FalseNegative nam [6,9] = I LAF animowany świat

(ChunkerEvaluator) Sentence #3294 from articles/00107886 from sent37

Text  : Muzykę do projektu przygotowała warszawska formacja Mitch & Mitch .
Tokens: 1_____ 2_ 3_______ 4___________ 5_________ 6_______ 7____ 8 9____ 10

Chunks:
  FalsePositive nam [7,7] = Mitch (confidence=1.00)
  FalsePositive nam [9,9] = Mitch (confidence=0.74)
  FalseNegative nam [7,9] = Mitch & Mitch

2016-11-04 12:06:48,319 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 168 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107891.xml
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(ChunkerEvaluator) Sentence #3298 from articles/00107891 from sent2

Text  : Martins Plavins i Janis Smedins , pokonując 2 : 0  austriacką parę Horst /  Doppler zajęli pierwsze miejsce w  turnieju w  Mazury Orlen Grand Slam 2012 w  Starych Jabłonkach k  .  Ostródy .
Tokens: 1______ 2______ 3 4____ 5______ 6 7________ 8 9 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] = Martins Plavins (confidence=1.00)
  TruePositive nam [4,5] = Janis Smedins (confidence=0.99)
  TruePositive nam [13,13] = Horst (confidence=1.00)
  TruePositive nam [15,15] = Doppler (confidence=0.94)
  TruePositive nam [28,29] = Starych Jabłonkach (confidence=1.00)
  TruePositive nam [32,32] = Ostródy (confidence=0.97)
  FalsePositive nam [22,25] = Mazury Orlen Grand Slam (confidence=1.00)
  FalseNegative nam [22,26] = Mazury Orlen Grand Slam 2012

(ChunkerEvaluator) Sentence #3304 from articles/00107891 from sent8

Text  : Sezon World Tour już się kończy , a my na pewno zaliczymy go do udanych .
Tokens: 1____ 2____ 3___ 4__ 5__ 6_____ 7 8 9_ 10 11___ 12_______ 13 14 15_____ 16

Chunks:
  FalsePositive nam [1,3] = Sezon World Tour (confidence=0.69)
  FalseNegative nam [2,3] = World Tour

(ChunkerEvaluator) Sentence #3305 from articles/00107891 from sent9

Text  : Mecz o trzecie miejsce nie odbył się z powodu kontuzji pary z  USA Gibb /  Rosenthal .
Tokens: 1___ 2 3______ 4______ 5__ 6____ 7__ 8 9_____ 10______ 11__ 12 13_ 14__ 15 16_______ 17

Chunks:
  TruePositive nam [13,13] = USA (confidence=1.00)
  FalsePositive nam [14,16] = Gibb / Rosenthal (confidence=0.96)
  FalseNegative nam [14,14] = Gibb
  FalseNegative nam [16,16] = Rosenthal

(ChunkerEvaluator) Sentence #3309 from articles/00107891 from sent13

Text  : Na boisko wybiegli bowiem Grzegorz Fijałek / Mariusz Prudel (  zajęli piąte miejsce w  turnieju )  ,  a  naprzeciwko nich stanęli inni polscy siatkarze Michał Makowski /  Michał Kądzioła ,  którzy .  .  .  założyli koszulki Brazylijczyków Alisona i  Emanuela .
Tokens: 1_ 2_____ 3_______ 4_____ 5_______ 6______ 7 8______ 9_____ 10 11____ 12___ 13_____ 14 15______ 16 17 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 Fijałek (confidence=1.00)
  TruePositive nam [8,9] = Mariusz Prudel (confidence=1.00)
  TruePositive nam [25,26] = Michał Makowski (confidence=1.00)
  TruePositive nam [28,29] = Michał Kądzioła (confidence=1.00)
  TruePositive nam [40,40] = Emanuela (confidence=0.97)
  FalsePositive nam [37,38] = Brazylijczyków Alisona (confidence=1.00)
  FalseNegative nam [37,37] = Brazylijczyków
  FalseNegative nam [38,38] = Alisona

(ChunkerEvaluator) Sentence #3318 from articles/00107891 from sent22

Text  : W sobotę odbyły się finały zawodów żeńskich , a najlepsze tradycyjnie okazały się Brazylijki Larissa /  Juliana ,  które w  finale pokonały Włoszki Cicolari /  Menegatti .
Tokens: 1 2_____ 3_____ 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 [14,17] = Brazylijki Larissa / Juliana (confidence=0.96)
  FalsePositive nam [23,26] = Włoszki Cicolari / Menegatti (confidence=0.93)
  FalseNegative nam [14,14] = Brazylijki
  FalseNegative nam [15,15] = Larissa
  FalseNegative nam [17,17] = Juliana
  FalseNegative nam [23,23] = Włoszki
  FalseNegative nam [24,24] = Cicolari
  FalseNegative nam [26,26] = Menegatti

(ChunkerEvaluator) Sentence #3319 from articles/00107891 from sent23

Text  : Trzecie miejsce zajęły Niemki Holtwick / Semmer .
Tokens: 1______ 2______ 3_____ 4_____ 5_______ 6 7_____ 8

Chunks:
  FalsePositive nam [4,7] = Niemki Holtwick / Semmer (confidence=0.85)
  FalseNegative nam [4,4] = Niemki
  FalseNegative nam [5,5] = Holtwick
  FalseNegative nam [7,7] = Semmer

2016-11-04 12:06:48,432 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 169 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107892.xml
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(ChunkerEvaluator) Sentence #3324 from articles/00107892 from sent2

Text  : Czuję się nimi zniesławiony i poniżony - pisze prof .  Jerzy Szaflik w  oświadczeniu przesłanym do redakcji portalu rynekzdrowia.pl .  Profesor wystosował je w  związku z  jego odwołaniem z  funkcji konsultanta krajowego w  dziedzinie okulistyki ,  dyrektora Banku Tkanek Oka w  Warszawie i  członka Krajowej Rady Transplantacyjnej oraz zawiadomieniem złożonym w  CBA przez ministra zdrowia .
Tokens: 1____ 2__ 3___ 4___________ 5 6_______ 7 8____ 9___ 10 11___ 12_____ 13 14__________ 15________ 16 17______ 18_____ 19_____________ 20 21______ 22________ 23 24 25_____ 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 [11,12] = Jerzy Szaflik (confidence=1.00)
  TruePositive nam [38,40] = Banku Tkanek Oka (confidence=1.00)
  TruePositive nam [42,42] = Warszawie (confidence=1.00)
  TruePositive nam [45,47] = Krajowej Rady Transplantacyjnej (confidence=1.00)
  TruePositive nam [52,52] = CBA (confidence=0.99)
  FalsePositive nam [21,21] = Profesor (confidence=0.75)
  FalseNegative nam [19,19] = rynekzdrowia.pl

(ChunkerEvaluator) Sentence #3332 from articles/00107892 from sent10

Text  : Centrum Mikrochirurgii Oka „ Laser ” , którego jestem właścicielem a  nie dyrektorem ,  nie współpracuje ani nigdy nie współpracowało z  Bankiem Tkanek Oka w  Warszawie i  nigdy nie otrzymywało rogówek z  tego Banku .
Tokens: 1______ 2_____________ 3__ 4 5____ 6 7 8______ 9_____ 10__________ 11 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 [22,24] = Bankiem Tkanek Oka (confidence=1.00)
  TruePositive nam [26,26] = Warszawie (confidence=1.00)
  TruePositive nam [34,34] = Banku (confidence=0.95)
  FalsePositive nam [1,3] = Centrum Mikrochirurgii Oka (confidence=0.53)
  FalsePositive nam [5,5] = Laser (confidence=0.70)
  FalseNegative nam [1,6] = Centrum Mikrochirurgii Oka „ Laser ”

(ChunkerEvaluator) Sentence #3341 from articles/00107892 from sent19

Text  : W 1991 r . wygrał em ogólnopolski konkurs na kierownika Kliniki Okulistyki II Wydziału Warszawskiej Akademii Medycznej .
Tokens: 1 2___ 3 4 5_____ 6_ 7___________ 8______ 9_ 10________ 11_____ 12________ 13 14______ 15__________ 16______ 17_______ 18

Chunks:
  FalsePositive nam [11,17] = Kliniki Okulistyki II Wydziału Warszawskiej Akademii Medycznej (confidence=1.00)

(ChunkerEvaluator) Sentence #3343 from articles/00107892 from sent21

Text  : Od 7 lat Centrum Mikrochirurgii Oka „ Laser ” jest kierowane przez dyrektora ,  a  ja osobiście ,  5  do 6  razy w  miesiącu ,  udzielam prywatnych konsultacji lub wykonuję zabiegi operacyjne .
Tokens: 1_ 2 3__ 4______ 5_____________ 6__ 7 8____ 9 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 [4,6] = Centrum Mikrochirurgii Oka (confidence=0.78)
  FalsePositive nam [8,8] = Laser (confidence=0.83)
  FalseNegative nam [4,9] = Centrum Mikrochirurgii Oka „ Laser ”

(ChunkerEvaluator) Sentence #3344 from articles/00107892 from sent22

Text  : Po rozpoczęciu przeze mnie pracy w Warszawie , w Klinice Okulistyki wykonywali śmy 60 -  80 przeszczepów rogówki rocznie .
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] = Warszawie (confidence=1.00)
  FalsePositive nam [10,11] = Klinice Okulistyki (confidence=1.00)
  FalseNegative nam [11,11] = Okulistyki

2016-11-04 12:06:48,596 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 170 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107894.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107894.ini
(ChunkerEvaluator) Sentence #3353 from articles/00107894 from sent2

Text  : Od 1 września Wojewódzka i Miejska Biblioteka Publiczna w Rzeszowie wprowadza nowe opłaty za przetrzymanie książek -  za każdy dzień zwłoki trzeba będzie zapłacić 20 gr .  To cztery razy więcej niż do tej pory .
Tokens: 1_ 2 3_______ 4_________ 5 6______ 7_________ 8________ 9 10_______ 11_______ 12__ 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 [10,10] = Rzeszowie (confidence=1.00)
  FalsePositive nam [4,4] = Wojewódzka (confidence=0.99)
  FalsePositive nam [6,8] = Miejska Biblioteka Publiczna (confidence=1.00)
  FalseNegative nam [4,8] = Wojewódzka i Miejska Biblioteka Publiczna
  FalseNegative nam [26,26] = gr

(ChunkerEvaluator) Sentence #3354 from articles/00107894 from sent3

Text  : W sieci bibliotek publicznych na terenie Rzeszowa tylko do końca września za każdy dzień przetrzymywania książki zapłacimy starą karę -  5  gr .
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] = Rzeszowa (confidence=1.00)
  FalseNegative nam [22,22] = gr

(ChunkerEvaluator) Sentence #3355 from articles/00107894 from sent4

Text  : - To jedna z najniższych opłat w kraju , która przez wiele lat nie była zmieniania -  informuje Barbara Chmura ,  dyrektor Wojewódzkiej i  Miejskiej Biblioteki Publicznej w  Rzeszowie .
Tokens: 1 2_ 3____ 4 5__________ 6____ 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 [19,20] = Barbara Chmura (confidence=1.00)
  TruePositive nam [29,29] = Rzeszowie (confidence=1.00)
  FalsePositive nam [23,23] = Wojewódzkiej (confidence=1.00)
  FalsePositive nam [25,27] = Miejskiej Biblioteki Publicznej (confidence=0.94)
  FalseNegative nam [23,27] = Wojewódzkiej i Miejskiej Biblioteki Publicznej

(ChunkerEvaluator) Sentence #3356 from articles/00107894 from sent5

Text  : Planowana od 1 września stawka wynosi 20 gr za każdy dzień przetrzymania książki po terminie .
Tokens: 1________ 2_ 3 4_______ 5_____ 6_____ 7_ 8_ 9_ 10___ 11___ 12___________ 13_____ 14 15______ 16

Chunks:
  FalseNegative nam [8,8] = gr

2016-11-04 12:06:48,653 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 171 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107895.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107895.ini
(ChunkerEvaluator) Sentence #3371 from articles/00107895 from sent7

Text  : Wrocławianie wygrali wówczas na wyjeździe 3 : 1 .
Tokens: 1___________ 2______ 3______ 4_ 5________ 6 7 8 9

Chunks:
  FalseNegative nam [1,1] = Wrocławianie

2016-11-04 12:06:48,691 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 172 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107898.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107898.ini
2016-11-04 12:06:48,871 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 173 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107900.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107900.ini
2016-11-04 12:06:48,901 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 174 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107906.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107906.ini
2016-11-04 12:06:48,959 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 175 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107907.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107907.ini
(ChunkerEvaluator) Sentence #3457 from articles/00107907 from sent3

Text  : Warszawa ( PAP ) - Sylwester upłynął w kraju wyjątkowo spokojnie -  ocenia policja .
Tokens: 1_______ 2 3__ 4 5 6________ 7______ 8 9____ 10_______ 11_______ 12 13____ 14_____ 15

Chunks:
  TruePositive nam [1,1] = Warszawa (confidence=1.00)
  TruePositive nam [3,3] = PAP (confidence=1.00)
  FalsePositive nam [6,6] = Sylwester (confidence=0.97)

(ChunkerEvaluator) Sentence #3467 from articles/00107907 from sent13

Text  : " Gdyby każdy dzień był tak spokojny " - podsumowała Puchalska .  (  PAP )  sta /  rad /
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] = Puchalska (confidence=1.00)
  TruePositive nam [14,14] = PAP (confidence=1.00)
  FalsePositive nam [16,16] = sta (confidence=0.69)

2016-11-04 12:06:49,009 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 176 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107913.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107913.ini
(ChunkerEvaluator) Sentence #3470 from articles/00107913 from sent3

Text  : Duże zmiany w Spółdzielni Mieszkaniowej „ Pionier ” w Kielcach .
Tokens: 1___ 2_____ 3 4__________ 5____________ 6 7______ 8 9 10______ 11

Chunks:
  TruePositive nam [10,10] = Kielcach (confidence=1.00)
  FalsePositive nam [4,5] = Spółdzielni Mieszkaniowej (confidence=1.00)
  FalsePositive nam [7,7] = Pionier (confidence=0.98)
  FalseNegative nam [4,8] = Spółdzielni Mieszkaniowej „ Pionier ”

(ChunkerEvaluator) Sentence #3478 from articles/00107913 from sent11

Text  : - Rada straciła do niego zaufanie .
Tokens: 1 2___ 3_______ 4_ 5____ 6_______ 7

Chunks:
  FalsePositive nam [2,2] = Rada (confidence=0.73)

2016-11-04 12:06:49,099 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 177 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107915.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107915.ini
(ChunkerEvaluator) Sentence #3501 from articles/00107915 from sent6

Text  : Zlekceważyli go także rywale i w efekcie grający jak w  transie szczecinianie potrzebowali godziny ,  by w  krótkich trzech setach odprawić z  kwitkiem zespół trenera Wiesława Czai .
Tokens: 1___________ 2_ 3____ 4_____ 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] = Wiesława Czai (confidence=1.00)
  FalseNegative nam [12,12] = szczecinianie

(ChunkerEvaluator) Sentence #3502 from articles/00107915 from sent7

Text  : Skra w bieżącej edycji Pucharu Polski była jedynym klasowym rywalem Morza .
Tokens: 1___ 2 3_______ 4_____ 5______ 6_____ 7___ 8______ 9_______ 10_____ 11___ 12

Chunks:
  TruePositive nam [5,6] = Pucharu Polski (confidence=1.00)
  TruePositive nam [11,11] = Morza (confidence=0.99)
  FalseNegative nam [1,1] = Skra

(ChunkerEvaluator) Sentence #3503 from articles/00107915 from sent8

Text  : W poprzednich rundach szczecinianie mieli przeciwników spoza ekstraklasy , co w  znacznym stopniu ułatwiło im drogę do turnieju finałowego .
Tokens: 1 2__________ 3______ 4____________ 5____ 6___________ 7____ 8__________ 9 10 11 12______ 13_____ 14______ 15 16___ 17 18______ 19________ 20

Chunks:
  FalseNegative nam [4,4] = szczecinianie

(ChunkerEvaluator) Sentence #3506 from articles/00107915 from sent11

Text  : - Jeżeli kędzierzynianie zdążyli odpocząć w przerwie świątecznej , to już nikt w  Polsce ich teraz nie dogoni -  mówi o  swoich dawnych kolegach rozgrywający Morza Sławomir Gerymski .
Tokens: 1 2_____ 3______________ 4______ 5_______ 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)
  TruePositive nam [26,26] = Morza (confidence=1.00)
  TruePositive nam [27,28] = Sławomir Gerymski (confidence=0.97)
  FalseNegative nam [3,3] = kędzierzynianie

(ChunkerEvaluator) Sentence #3507 from articles/00107915 from sent12

Text  : Czy szczecinianie stoją więc na straconej pozycji ?
Tokens: 1__ 2____________ 3____ 4___ 5_ 6________ 7______ 8

Chunks:
  FalseNegative nam [2,2] = szczecinianie

(ChunkerEvaluator) Sentence #3510 from articles/00107915 from sent15

Text  : Do Sosnowca jednak szczecinianie przyjadą w nie najlepszych nastrojach .
Tokens: 1_ 2_______ 3_____ 4____________ 5_______ 6 7__ 8__________ 9_________ 10

Chunks:
  TruePositive nam [2,2] = Sosnowca (confidence=0.99)
  FalseNegative nam [4,4] = szczecinianie

(ChunkerEvaluator) Sentence #3512 from articles/00107915 from sent17

Text  : - Możliwe , że drużyna rozpadnie się po finale Pucharu Polski -  potwierdza obawy szkoleniowiec szczecinian .
Tokens: 1 2______ 3 4_ 5______ 6________ 7__ 8_ 9_____ 10_____ 11____ 12 13________ 14___ 15___________ 16_________ 17

Chunks:
  TruePositive nam [10,11] = Pucharu Polski (confidence=1.00)
  FalseNegative nam [16,16] = szczecinian

2016-11-04 12:06:49,168 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 178 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107918.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107918.ini
(ChunkerEvaluator) Sentence #3514 from articles/00107918 from sent2

Text  : Dwanaście nowoczesnych targowisk powstanie w regionie kujawsko - pomorskim dzięki wsparciu funduszy unijnych .
Tokens: 1________ 2___________ 3________ 4________ 5 6_______ 7_______ 8 9________ 10____ 11______ 12______ 13______ 14

Chunks:
  FalseNegative nam [7,9] = kujawsko - pomorskim

(ChunkerEvaluator) Sentence #3517 from articles/00107918 from sent5

Text  : Dzięki nim mieszkańcy regionu będą mieli możliwość zakupu świeżych i  tańszych wyrobów ,  a  lokalni wytwórcy łatwiej znajdą nabywców swoich produktów "  -  powiedział Piotr Całbecki ,  marszałek województwa kujawsko -  pomorskiego .
Tokens: 1_____ 2__ 3_________ 4______ 5___ 6____ 7________ 8_____ 9_______ 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 [25,26] = Piotr Całbecki (confidence=1.00)
  FalseNegative nam [30,32] = kujawsko - pomorskiego

(ChunkerEvaluator) Sentence #3519 from articles/00107918 from sent7

Text  : Wsparcie na budowę targowisk trafi do gmin w ramach rządowego programu "  Mój rynek "  .
Tokens: 1_______ 2_ 3_____ 4________ 5____ 6_ 7___ 8 9_____ 10_______ 11______ 12 13_ 14___ 15 16

Chunks:
  FalseNegative nam [13,14] = Mój rynek

(ChunkerEvaluator) Sentence #3520 from articles/00107918 from sent8

Text  : Pieniędzmi na ten cel dysponują samorządy województw w ramach Programu Rozwoju Obszarów Wiejskich na lata 2007 -  2013 .
Tokens: 1_________ 2_ 3__ 4__ 5________ 6________ 7_________ 8 9_____ 10______ 11_____ 12______ 13_______ 14 15__ 16__ 17 18__ 19

Chunks:
  FalsePositive nam [10,13] = Programu Rozwoju Obszarów Wiejskich (confidence=0.92)
  FalseNegative nam [10,18] = Programu Rozwoju Obszarów Wiejskich na lata 2007 - 2013

(ChunkerEvaluator) Sentence #3521 from articles/00107918 from sent9

Text  : Przedsięwzięcia mogą być zrealizowane w miejscowościach do 50 tysięcy mieszkańców ,  a  w  Kujawsko -  Pomorskim na ich realizację zarezerwowano 12 milionów 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

Chunks:
  TruePositive nam [23,23] = złotych (confidence=0.92)
  FalseNegative nam [14,16] = Kujawsko - Pomorskim

2016-11-04 12:06:49,247 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 179 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107920.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107920.ini
(ChunkerEvaluator) Sentence #3541 from articles/00107920 from sent13

Text  : - Żeby było ciekawiej , licytację konia poprowadzi znany showman Paweł „  Konjo ”  Konnak .
Tokens: 1 2___ 3___ 4________ 5 6________ 7____ 8_________ 9____ 10_____ 11___ 12 13___ 14 15____ 16

Chunks:
  FalsePositive nam [11,11] = Paweł (confidence=0.99)
  FalsePositive nam [13,13] = Konjo (confidence=0.96)
  FalsePositive nam [15,15] = Konnak (confidence=0.83)
  FalseNegative nam [11,15] = Paweł „ Konjo ” Konnak

(ChunkerEvaluator) Sentence #3544 from articles/00107920 from sent16

Text  : Osoby lub firmy , które chciały by podarować coś wartościowego orkiestrze ,  mogą kontaktować się ze sztabem WOŚP przy ul .  Czyżewskiego 42 w  Oliwie (  tel .  /  faks 552 39 11 ,  mail :  wosp @  gda .  tvp .  com .  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

Chunks:
  TruePositive nam [18,18] = WOŚP (confidence=1.00)
  TruePositive nam [22,22] = Czyżewskiego (confidence=1.00)
  TruePositive nam [25,25] = Oliwie (confidence=0.96)
  FalseNegative nam [37,45] = wosp @ gda . tvp . com . pl

(ChunkerEvaluator) Sentence #3547 from articles/00107920 from sent19

Text  : W tym roku w regionie pomorskim i warmińsko - mazurskim zbiórką pieniędzy zajmować się będzie ok .  3  tys .  wolontariuszy .
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 [6,6] = pomorskim
  FalseNegative nam [8,10] = warmińsko - mazurskim

2016-11-04 12:06:49,329 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 180 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107921.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107921.ini
2016-11-04 12:06:49,642 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 181 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107922.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107922.ini
(ChunkerEvaluator) Sentence #3604 from articles/00107922 from sent4

Text  : Karol Jabłoński po raz pierwszy w swej karierze trafił do elitarnej dziesiątki w  plebiscycie organizowanym przez redakcje „  Przeglądu Sportowego ”  oraz „  Tempa ”  i  „  Sportu ”  .
Tokens: 1____ 2________ 3_ 4__ 5_______ 6 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] = Karol Jabłoński (confidence=1.00)
  TruePositive nam [19,20] = Przeglądu Sportowego (confidence=0.97)
  TruePositive nam [24,24] = Tempa (confidence=0.95)
  FalseNegative nam [28,28] = Sportu

2016-11-04 12:06:49,689 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 182 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107923.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107923.ini
(ChunkerEvaluator) Sentence #3616 from articles/00107923 from sent5

Text  : Taping mieli okazję obserwować choćby widzowie niedawnych igrzysk olimpijskich .
Tokens: 1_____ 2____ 3_____ 4_________ 5_____ 6_______ 7_________ 8______ 9___________ 10

Chunks:
  FalsePositive nam [1,1] = Taping (confidence=0.70)

(ChunkerEvaluator) Sentence #3618 from articles/00107923 from sent7

Text  : Taping , czyli polskie taśmowanie , z którym będziemy mieli do czynienia na Mariackiej ,  z  zabiegami rehabilitacyjnymi nie ma jednak nic 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

Chunks:
  TruePositive nam [14,14] = Mariackiej (confidence=1.00)
  FalsePositive nam [1,1] = Taping (confidence=0.89)

2016-11-04 12:06:49,731 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 183 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107928.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107928.ini
2016-11-04 12:06:49,788 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 184 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107929.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107929.ini
(ChunkerEvaluator) Sentence #3653 from articles/00107929 from sent3

Text  : Młodzi bokserzy Policyjnego Towarzystwa Sportowego Walter wrócili do Rzeszowa po bardzo dobrym występie w  Gwardyjskich Mistrzostwach Polski .
Tokens: 1_____ 2_______ 3__________ 4__________ 5_________ 6_____ 7______ 8_ 9_______ 10 11____ 12____ 13______ 14 15__________ 16___________ 17____ 18

Chunks:
  TruePositive nam [9,9] = Rzeszowa (confidence=1.00)
  TruePositive nam [15,17] = Gwardyjskich Mistrzostwach Polski (confidence=1.00)
  FalsePositive nam [3,5] = Policyjnego Towarzystwa Sportowego (confidence=1.00)
  FalsePositive nam [6,6] = Walter (confidence=0.64)
  FalseNegative nam [3,6] = Policyjnego Towarzystwa Sportowego Walter

(ChunkerEvaluator) Sentence #3656 from articles/00107929 from sent6

Text  : Jeden złoty i dwa srebrne medale to dorobek młodych bokserów Policyjnego Towarzystwa Sportowego Walter w  Rzeszowie na II Otwartych Gwardyjskich Mistrzostwach 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

Chunks:
  TruePositive nam [16,16] = Rzeszowie (confidence=1.00)
  TruePositive nam [18,22] = II Otwartych Gwardyjskich Mistrzostwach Polski (confidence=0.89)
  FalsePositive nam [11,13] = Policyjnego Towarzystwa Sportowego (confidence=1.00)
  FalsePositive nam [14,14] = Walter (confidence=0.52)
  FalseNegative nam [11,14] = Policyjnego Towarzystwa Sportowego Walter

2016-11-04 12:06:49,854 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 185 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107931.xml
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(ChunkerEvaluator) Sentence #3673 from articles/00107931 from sent1

Text  : Wielkopolskie .
Tokens: 1____________ 2

Chunks:
  FalseNegative nam [1,1] = Wielkopolskie

(ChunkerEvaluator) Sentence #3675 from articles/00107931 from sent3

Text  : Po wypadku zablokowana jest w czwartek po południu w obu kierunkach droga krajowa nr 15 Jarocin -  Krotoszyn w  miejscowości Golina (  Wielkopolska )  .
Tokens: 1_ 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] = Golina (confidence=1.00)
  TruePositive nam [23,23] = Wielkopolska (confidence=0.99)
  FalsePositive nam [14,18] = nr 15 Jarocin - Krotoszyn (confidence=0.44)
  FalseNegative nam [12,15] = droga krajowa nr 15
  FalseNegative nam [16,16] = Jarocin
  FalseNegative nam [18,18] = Krotoszyn

2016-11-04 12:06:49,878 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 186 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107932.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107932.ini
2016-11-04 12:06:49,955 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 187 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107936.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107936.ini
2016-11-04 12:06:49,994 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 188 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107938.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107938.ini
(ChunkerEvaluator) Sentence #3711 from articles/00107938 from sent6

Text  : Trener biało - zielonych Bogusław Kaczmarek spotkanie z Jagiellonią traktuje niezwykle poważnie i  zabiera do Białegostoku 17 zawodników ,  którzy byli w  kadrze na ostatni mecz z  Lechem Poznań -  zabraknie tylko lekko kontuzjowanego Piotra Brożka (  problemy z  kolanem )  .
Tokens: 1_____ 2____ 3 4________ 5_______ 6________ 7________ 8 9__________ 10______ 11_______ 12______ 13 14_____ 15 16__________ 17 18________ 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 [5,6] = Bogusław Kaczmarek (confidence=1.00)
  TruePositive nam [9,9] = Jagiellonią (confidence=1.00)
  TruePositive nam [16,16] = Białegostoku (confidence=1.00)
  TruePositive nam [28,29] = Lechem Poznań (confidence=1.00)
  TruePositive nam [35,36] = Piotra Brożka (confidence=1.00)
  FalseNegative nam [2,4] = biało - zielonych

2016-11-04 12:06:50,096 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 189 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107939.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107939.ini
(ChunkerEvaluator) Sentence #3724 from articles/00107939 from sent1

Text  : LIST : W II Alei kosze na miejscach parkingowych zamiast na chodnikach
Tokens: 1___ 2 3 4_ 5___ 6____ 7_ 8________ 9___________ 10_____ 11 12________

Chunks:
  FalsePositive nam [3,5] = W II Alei (confidence=0.73)
  FalseNegative nam [4,5] = II Alei

(ChunkerEvaluator) Sentence #3727 from articles/00107939 from sent4

Text  : Parkowanie skośne w II Alei spowodowało , że większą część ciągu pieszego zajmują samochody .
Tokens: 1_________ 2_____ 3 4_ 5___ 6__________ 7 8_ 9______ 10___ 11___ 12______ 13_____ 14_______ 15

Chunks:
  FalseNegative nam [4,5] = II Alei

(ChunkerEvaluator) Sentence #3728 from articles/00107939 from sent5

Text  : Miejsca do parkowania oddzielone są niezliczoną ilością słupków , które wkrótce będą wyglądać podobnie jak w  III Alei ,  tj .  połamane i  powykrzywiane .
Tokens: 1______ 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] = Alei (confidence=0.79)
  FalseNegative nam [17,18] = III Alei

2016-11-04 12:06:50,151 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 190 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107941.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107941.ini
2016-11-04 12:06:50,184 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 191 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107946.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107946.ini
(ChunkerEvaluator) Sentence #3749 from articles/00107946 from sent5

Text  : Warszawa ( PAP ) - PiS w najbliższym czasie zaskarży ustawę nowelizującą Prawo o  zgromadzeniach do Trybunału Konstytucyjnego -  zapowiedział w  piątek szef klubu PiS Mariusz Błaszczak .
Tokens: 1_______ 2 3__ 4 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 [1,1] = Warszawa (confidence=1.00)
  TruePositive nam [3,3] = PAP (confidence=1.00)
  TruePositive nam [6,6] = PiS (confidence=0.99)
  TruePositive nam [17,18] = Trybunału Konstytucyjnego (confidence=1.00)
  TruePositive nam [25,25] = PiS (confidence=1.00)
  TruePositive nam [26,27] = Mariusz Błaszczak (confidence=1.00)
  FalsePositive nam [13,13] = Prawo (confidence=0.85)

(ChunkerEvaluator) Sentence #3762 from articles/00107946 from sent18

Text  : Prezydent Bronisław Komorowski w czwartek podpisał ustawę nowelizującą Prawo o  zgromadzeniach .
Tokens: 1________ 2________ 3_________ 4 5_______ 6_______ 7_____ 8___________ 9____ 10 11____________ 12

Chunks:
  TruePositive nam [2,3] = Bronisław Komorowski (confidence=1.00)
  FalsePositive nam [9,9] = Prawo (confidence=0.81)

(ChunkerEvaluator) Sentence #3769 from articles/00107946 from sent25

Text  : Wniosek do TK w sprawie ustawy zapowiada też NSZZ "  Solidarność "  .
Tokens: 1______ 2_ 3_ 4 5______ 6_____ 7________ 8__ 9___ 10 11_________ 12 13

Chunks:
  TruePositive nam [3,3] = TK (confidence=0.98)
  FalsePositive nam [9,9] = NSZZ (confidence=0.66)
  FalsePositive nam [11,11] = Solidarność (confidence=0.54)
  FalseNegative nam [9,12] = NSZZ " Solidarność "

2016-11-04 12:06:50,297 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 192 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107947.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107947.ini
(ChunkerEvaluator) Sentence #3778 from articles/00107947 from sent9

Text  : Zdaniem historyka nauki prof . Jana Piskurewicza z Instytutu Historii Nauki PAN ,  Nobel odziedziczył swoją "  żyłkę "  wynalazcy po ojcu .
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] = Jana Piskurewicza (confidence=1.00)
  TruePositive nam [14,14] = Nobel (confidence=1.00)
  FalsePositive nam [9,12] = Instytutu Historii Nauki PAN (confidence=0.96)

(ChunkerEvaluator) Sentence #3782 from articles/00107947 from sent13

Text  : Immanuel wdrażał swoich synów do pracy , zachęcając ich do uczestnictwa w  badaniach i  eksperymentach .
Tokens: 1_______ 2______ 3_____ 4____ 5_ 6____ 7 8_________ 9__ 10 11__________ 12 13_______ 14 15____________ 16

Chunks:
  FalseNegative nam [1,1] = Immanuel

(ChunkerEvaluator) Sentence #3801 from articles/00107947 from sent32

Text  : " Nobel zakładał fabryki w wielu krajach .
Tokens: 1 2____ 3_______ 4______ 5 6____ 7______ 8

Chunks:
  FalseNegative nam [2,2] = Nobel

(ChunkerEvaluator) Sentence #3812 from articles/00107947 from sent43

Text  : " Nie były to wybitne książki , ale bardzo działające na emocje w  rodzaju +  Chaty wuja Toma +  "  -  ocenił historyk nauki .
Tokens: 1 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] = Toma (confidence=0.99)
  FalseNegative nam [16,18] = Chaty wuja Toma

(ChunkerEvaluator) Sentence #3813 from articles/00107947 from sent44

Text  : " Nobel nie wyjaśnił , dlaczego ustanowił nagrody akurat w  tych dziedzinach ,  ale możemy się tego domyślać .
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] = Nobel

2016-11-04 12:06:50,516 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 193 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107950.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107950.ini
(ChunkerEvaluator) Sentence #3842 from articles/00107950 from sent16

Text  : Obroty całego koncernu sięgnęły w ubiegłym roku 8 miliardów dolarów ,  jego zdolności produkcyjne to 35 milionów ton stali rocznie .
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 [10,10] = dolarów

2016-11-04 12:06:50,571 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 194 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107955.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107955.ini
2016-11-04 12:06:50,604 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 195 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107959.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107959.ini
(ChunkerEvaluator) Sentence #3857 from articles/00107959 from sent7

Text  : Łukaszenka potwierdził kurs na dalszą integrację z Rosją w ramach Państwa Związkowego Białorusi i  Rosji .
Tokens: 1_________ 2__________ 3___ 4_ 5_____ 6_________ 7 8____ 9 10____ 11_____ 12_________ 13_______ 14 15___ 16

Chunks:
  TruePositive nam [1,1] = Łukaszenka (confidence=0.89)
  TruePositive nam [8,8] = Rosją (confidence=1.00)
  FalsePositive nam [11,13] = Państwa Związkowego Białorusi (confidence=0.97)
  FalsePositive nam [15,15] = Rosji (confidence=1.00)
  FalseNegative nam [11,15] = Państwa Związkowego Białorusi i Rosji

(ChunkerEvaluator) Sentence #3880 from articles/00107959 from sent30

Text  : W kwietniu 1997 roku Białoruś utworzyła z Moskwą Związek Białorusi i  Rosji (  ZBiR )  ,  a  w  1999 roku podpisano traktat o  przekształceniu ZBiR w  Państwo Związkowe Rosji 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 27_____ 28_______ 29___ 30 31_______ 32

Chunks:
  TruePositive nam [5,5] = Białoruś (confidence=0.99)
  TruePositive nam [14,14] = ZBiR (confidence=1.00)
  TruePositive nam [25,25] = ZBiR (confidence=1.00)
  FalsePositive nam [8,10] = Moskwą Związek Białorusi (confidence=1.00)
  FalsePositive nam [12,12] = Rosji (confidence=0.95)
  FalsePositive nam [27,29] = Państwo Związkowe Rosji (confidence=1.00)
  FalsePositive nam [31,31] = Białorusi (confidence=1.00)
  FalseNegative nam [8,8] = Moskwą
  FalseNegative nam [9,12] = Związek Białorusi i Rosji
  FalseNegative nam [27,31] = Państwo Związkowe Rosji i Białorusi

(ChunkerEvaluator) Sentence #3883 from articles/00107959 from sent33

Text  : UE wyraziła w poniedziałek poważne zaniepokojenie brakiem poszanowania demokracji przez Białoruś i  przedłużyła na kolejny rok sankcje wobec reżimu w  Mińsku .
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] = Białoruś (confidence=1.00)
  TruePositive nam [21,21] = Mińsku (confidence=1.00)
  FalseNegative nam [1,1] = UE

2016-11-04 12:06:50,765 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 196 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107960.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107960.ini
(ChunkerEvaluator) Sentence #3891 from articles/00107960 from sent3

Text  : Blisko 2 , 5 mln zł otrzymały łącznie w br .  te gminy woj .  śląskiego ,  które zdecydowały się na wyodrębnienie w  swoich budżetach funduszy sołeckich .
Tokens: 1_____ 2 3 4 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] = zł (confidence=1.00)
  FalseNegative nam [16,16] = śląskiego

(ChunkerEvaluator) Sentence #3897 from articles/00107960 from sent9

Text  : Jak powiedział w środę PAP wicedyrektor wydziału rozwoju regionalnego Śląskiego Urzędu Wojewódzkiego w  Katowicach Paweł Siembab ,  w  woj .  śląskim przeważająca większość gmin ,  które wyodrębniły fundusze sołeckie ,  otrzymuje maksymalne dofinansowanie ,  rzędu 30 proc .
Tokens: 1__ 2_________ 3 4____ 5__ 6___________ 7_______ 8______ 9___________ 10_______ 11____ 12___________ 13 14________ 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] = PAP (confidence=1.00)
  TruePositive nam [10,12] = Śląskiego Urzędu Wojewódzkiego (confidence=1.00)
  TruePositive nam [14,14] = Katowicach (confidence=1.00)
  TruePositive nam [15,16] = Paweł Siembab (confidence=0.90)
  FalseNegative nam [21,21] = śląskim

(ChunkerEvaluator) Sentence #3902 from articles/00107960 from sent14

Text  : Z danych wynika , że na utworzenie funduszu sołeckiego zdecydowało się w  woj .  śląskim około dwie trzecie uprawnionych do tego gmin .
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 [15,15] = śląskim

2016-11-04 12:06:50,855 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 197 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107961.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107961.ini
(ChunkerEvaluator) Sentence #3910 from articles/00107961 from sent2

Text  : MŚ 2014 - wyniki , tabele
Tokens: 1_ 2___ 3 4_____ 5 6_____

Chunks:
  FalseNegative nam [1,2] = MŚ 2014

(ChunkerEvaluator) Sentence #3911 from articles/00107961 from sent3

Text  : Wyniki meczów i tabele grup eliminacji piłkarskich mistrzostw świata po jedynym rozegranym w  środę meczu -  Polska -  Anglia (  1  :  1  )  :  Grupa A  Chorwacja -  Walia 2  :  0  (  1  :  0  )  Macedonia -  Serbia 1  :  0  (  0  :  0  )  Belgia -  Szkocja 2  :  0  (  0  :  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 44 45 46 47 48 49 50____ 51 52_____ 53 54 55 56 57 58 59 60

Chunks:
  TruePositive nam [17,17] = Polska (confidence=1.00)
  TruePositive nam [19,19] = Anglia (confidence=0.97)
  TruePositive nam [30,30] = Walia (confidence=0.98)
  TruePositive nam [39,39] = Macedonia (confidence=0.94)
  TruePositive nam [41,41] = Serbia (confidence=1.00)
  TruePositive nam [50,50] = Belgia (confidence=0.88)
  TruePositive nam [52,52] = Szkocja (confidence=0.94)
  FalsePositive nam [8,9] = mistrzostw świata (confidence=0.91)
  FalsePositive nam [26,28] = Grupa A Chorwacja (confidence=1.00)
  FalseNegative nam [28,28] = Chorwacja

(ChunkerEvaluator) Sentence #3914 from articles/00107961 from sent6

Text  : Chorwacja 4 3 1 0 6 - 2 10 3  .
Tokens: 1________ 2 3 4 5 6 7 8 9_ 10 11

Chunks:
  FalseNegative nam [1,1] = Chorwacja

(ChunkerEvaluator) Sentence #3917 from articles/00107961 from sent9

Text  : Walia 4 1 0 3 3 - 11 3 6  .
Tokens: 1____ 2 3 4 5 6 7 8_ 9 10 11

Chunks:
  FalseNegative nam [1,1] = Walia

(ChunkerEvaluator) Sentence #3918 from articles/00107961 from sent10

Text  : Szkocja 4 0 2 2 2 - 5 2
Tokens: 1______ 2 3 4 5 6 7 8 9

Chunks:
  FalseNegative nam [1,1] = Szkocja

(ChunkerEvaluator) Sentence #3938 from articles/00107961 from sent30

Text  : Węgry 4 3 0 1 10 - 5 9 3  .
Tokens: 1____ 2 3 4 5 6_ 7 8 9 10 11

Chunks:
  FalseNegative nam [1,1] = Węgry

(ChunkerEvaluator) Sentence #3940 from articles/00107961 from sent32

Text  : Turcja 4 1 0 3 4 - 6 3 5  .
Tokens: 1_____ 2 3 4 5 6 7 8 9 10 11

Chunks:
  FalseNegative nam [1,1] = Turcja

(ChunkerEvaluator) Sentence #3943 from articles/00107961 from sent35

Text  : Grupa E Cypr - Norwegia 1 : 3 ( 1  :  1  )  Islandia -  Szwajcaria 0  :  2  (  0  :  0  )  Albania -  Słowenia 1  :  0  (  1  :  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

Chunks:
  TruePositive nam [5,5] = Norwegia (confidence=0.99)
  TruePositive nam [14,14] = Islandia (confidence=0.88)
  TruePositive nam [16,16] = Szwajcaria (confidence=1.00)
  TruePositive nam [25,25] = Albania (confidence=0.75)
  TruePositive nam [27,27] = Słowenia (confidence=0.98)
  FalsePositive nam [1,3] = Grupa E Cypr (confidence=0.78)
  FalseNegative nam [3,3] = Cypr

(ChunkerEvaluator) Sentence #3946 from articles/00107961 from sent38

Text  : Norwegia 4 2 1 1 6 - 5 7 3  .
Tokens: 1_______ 2 3 4 5 6 7 8 9 10 11

Chunks:
  FalseNegative nam [1,1] = Norwegia

(ChunkerEvaluator) Sentence #3947 from articles/00107961 from sent39

Text  : Albania 4 2 0 2 5 - 5 6 4  .
Tokens: 1______ 2 3 4 5 6 7 8 9 10 11

Chunks:
  FalseNegative nam [1,1] = Albania

(ChunkerEvaluator) Sentence #3948 from articles/00107961 from sent40

Text  : Islandia 4 2 0 2 4 - 4 6 5  .
Tokens: 1_______ 2 3 4 5 6 7 8 9 10 11

Chunks:
  FalseNegative nam [1,1] = Islandia

(ChunkerEvaluator) Sentence #3951 from articles/00107961 from sent43

Text  : Grupa F Rosja - Azerbejdżan 1 : 0 ( 0  :  0  )  Izrael -  Luksemburg 3  :  0  (  2  :  0  )  Portugalia -  Irlandia Płn .
Tokens: 1____ 2 3____ 4 5__________ 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] = Rosja (confidence=0.82)
  TruePositive nam [5,5] = Azerbejdżan (confidence=0.98)
  TruePositive nam [14,14] = Izrael (confidence=0.97)
  TruePositive nam [16,16] = Luksemburg (confidence=1.00)
  FalsePositive nam [27,28] = Irlandia Płn (confidence=1.00)
  FalseNegative nam [25,25] = Portugalia
  FalseNegative nam [27,29] = Irlandia Płn .

(ChunkerEvaluator) Sentence #3956 from articles/00107961 from sent48

Text  : Portugalia 4 2 1 1 6 - 3 7 4  .
Tokens: 1_________ 2 3 4 5 6 7 8 9 10 11

Chunks:
  FalseNegative nam [1,1] = Portugalia

(ChunkerEvaluator) Sentence #3957 from articles/00107961 from sent49

Text  : Irlandia Płn .
Tokens: 1_______ 2__ 3

Chunks:
  FalsePositive nam [1,2] = Irlandia Płn (confidence=0.99)
  FalseNegative nam [1,3] = Irlandia Płn .

(ChunkerEvaluator) Sentence #3961 from articles/00107961 from sent53

Text  : Grupa G Łotwa - Liechtenstein 2 : 0 ( 1  :  0  )  Bośnia i  Hercegowina -  Litwa 3  :  0  (  3  :  0  )  Słowacja -  Grecja 0  :  1  (  0  :  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

Chunks:
  TruePositive nam [5,5] = Liechtenstein (confidence=1.00)
  TruePositive nam [18,18] = Litwa (confidence=1.00)
  TruePositive nam [29,29] = Grecja (confidence=0.96)
  FalsePositive nam [1,3] = Grupa G Łotwa (confidence=0.82)
  FalsePositive nam [14,14] = Bośnia (confidence=0.95)
  FalsePositive nam [16,16] = Hercegowina (confidence=0.95)
  FalseNegative nam [3,3] = Łotwa
  FalseNegative nam [14,16] = Bośnia i Hercegowina
  FalseNegative nam [27,27] = Słowacja

(ChunkerEvaluator) Sentence #3963 from articles/00107961 from sent55

Text  : Bośnia i Hercegowina 4 3 1 0 15 - 2  10 2  .
Tokens: 1_____ 2 3__________ 4 5 6 7 8_ 9 10 11 12 13

Chunks:
  FalsePositive nam [1,1] = Bośnia (confidence=0.96)
  FalsePositive nam [3,3] = Hercegowina (confidence=0.99)
  FalseNegative nam [1,3] = Bośnia i Hercegowina

(ChunkerEvaluator) Sentence #3964 from articles/00107961 from sent56

Text  : Grecja 4 3 1 0 5 - 1 10 3  .
Tokens: 1_____ 2 3 4 5 6 7 8 9_ 10 11

Chunks:
  FalseNegative nam [1,1] = Grecja

(ChunkerEvaluator) Sentence #3965 from articles/00107961 from sent57

Text  : Słowacja 4 2 1 1 5 - 3 7 4  .
Tokens: 1_______ 2 3 4 5 6 7 8 9 10 11

Chunks:
  FalseNegative nam [1,1] = Słowacja

(ChunkerEvaluator) Sentence #3969 from articles/00107961 from sent61

Text  : Grupa H Ukraina - Czarnogóra 0 : 1 ( 0  :  1  )  San Marino -  Mołdawia 0  :  2  (  0  :  0  )  Polska -  Anglia 1  :  1  (  0  :  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

Chunks:
  TruePositive nam [5,5] = Czarnogóra (confidence=0.98)
  TruePositive nam [14,15] = San Marino (confidence=1.00)
  TruePositive nam [17,17] = Mołdawia (confidence=0.99)
  TruePositive nam [26,26] = Polska (confidence=1.00)
  TruePositive nam [28,28] = Anglia (confidence=0.97)
  FalsePositive nam [1,3] = Grupa H Ukraina (confidence=0.58)
  FalseNegative nam [3,3] = Ukraina

(ChunkerEvaluator) Sentence #3971 from articles/00107961 from sent63

Text  : Anglia 4 2 2 0 12 - 2 8 2  .
Tokens: 1_____ 2 3 4 5 6_ 7 8 9 10 11

Chunks:
  FalseNegative nam [1,1] = Anglia

(ChunkerEvaluator) Sentence #3972 from articles/00107961 from sent64

Text  : Czarnogóra 3 2 1 0 9 - 2 7 3  .
Tokens: 1_________ 2 3 4 5 6 7 8 9 10 11

Chunks:
  FalseNegative nam [1,1] = Czarnogóra

(ChunkerEvaluator) Sentence #3977 from articles/00107961 from sent69

Text  : Grupa I Białoruś - Gruzja 2 : 0 ( 2  :  0  )  Hiszpania -  Francja 1  :  1  (  1  :  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

Chunks:
  TruePositive nam [5,5] = Gruzja (confidence=0.99)
  TruePositive nam [14,14] = Hiszpania (confidence=0.99)
  TruePositive nam [16,16] = Francja (confidence=1.00)
  FalsePositive nam [1,3] = Grupa I Białoruś (confidence=0.95)
  FalseNegative nam [3,3] = Białoruś

2016-11-04 12:06:51,016 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 198 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107963.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107963.ini
(ChunkerEvaluator) Sentence #3980 from articles/00107963 from sent3

Text  : 11 listopada 1988 roku premiera „ Żelaznych kwiatów ” otworzyła nową epokę teatralną w  Płocku -  bez cenzora .
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] = Płocku (confidence=1.00)
  FalseNegative nam [7,8] = Żelaznych kwiatów

(ChunkerEvaluator) Sentence #3982 from articles/00107963 from sent5

Text  : Urząd Kontroli Prasy , Publikacji i Widowisk zastąpiła opinia publiczna i  mili recenzenci ,  którzy mimo ogromnej pracy nie przysporzyli placówce ani publiczności ,  ani nie zmobilizowali artystów do odważnego mierzenia się ze sztuką i  rzeczywistością .
Tokens: 1____ 2_______ 3____ 4 5_________ 6 7_______ 8________ 9_____ 10_______ 11 12__ 13________ 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 [1,3] = Urząd Kontroli Prasy (confidence=0.95)
  FalsePositive nam [5,5] = Publikacji (confidence=0.97)
  FalsePositive nam [7,7] = Widowisk (confidence=0.96)
  FalseNegative nam [1,7] = Urząd Kontroli Prasy , Publikacji i Widowisk

(ChunkerEvaluator) Sentence #3983 from articles/00107963 from sent6

Text  : Na początku III RP galopada cen , gospodarka rynkowa i  paradoksalnie wolność słowa zaszkodziły frekwencji podczas płockich przedstawień .
Tokens: 1_ 2_______ 3__ 4_ 5_______ 6__ 7 8_________ 9______ 10 11___________ 12_____ 13___ 14_________ 15________ 16_____ 17______ 18__________ 19

Chunks:
  FalseNegative nam [3,4] = III RP

(ChunkerEvaluator) Sentence #3985 from articles/00107963 from sent8

Text  : Nowa Polska zastała na Nowym Rynku Marka Mokrowieckiego i tak już pozostało do dzisiaj .
Tokens: 1___ 2_____ 3______ 4_ 5____ 6____ 7____ 8_____________ 9 10_ 11_ 12_______ 13 14_____ 15

Chunks:
  TruePositive nam [5,6] = Nowym Rynku (confidence=1.00)
  TruePositive nam [7,8] = Marka Mokrowieckiego (confidence=0.77)
  FalsePositive nam [2,2] = Polska (confidence=0.83)
  FalseNegative nam [1,2] = Nowa Polska

(ChunkerEvaluator) Sentence #3986 from articles/00107963 from sent9

Text  : Trudno przypomnieć , a tym bardziej ocenić ostatnie 22 lata scenicznych zmagań naszych aktorów i  reżyserów ,  przede wszystkim z  powodu pamięci ,  jaką część z  Czytelników zachowała o  wydarzeniach teatralnych mniejszego lub większego kalibru .
Tokens: 1_____ 2__________ 3 4 5__ 6_______ 7_____ 8_______ 9_ 10__ 11_________ 12____ 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 [27,27] = Czytelników (confidence=0.99)

(ChunkerEvaluator) Sentence #3988 from articles/00107963 from sent11

Text  : Mickiewiczowskich „ Dziadów ” w płockiej katedrze , „ Jeremiasza ”  Wojtyły z  okazji wizyty papieża w  naszym mieście czy „  Powrót Łazarza ”  Wójcickiego w  sali lustrzanej .
Tokens: 1________________ 2 3______ 4 5 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] = Dziadów (confidence=0.98)
  TruePositive nam [10,10] = Jeremiasza (confidence=1.00)
  TruePositive nam [22,23] = Powrót Łazarza (confidence=1.00)
  TruePositive nam [25,25] = Wójcickiego (confidence=0.79)
  FalseNegative nam [1,1] = Mickiewiczowskich
  FalseNegative nam [12,12] = Wojtyły

(ChunkerEvaluator) Sentence #3991 from articles/00107963 from sent14

Text  : Czasami realizacje zaszczycają wybitni reżyserzy , jak w autorskiej śpiewogrze „  Dulska ”  Adam Hanuszkiewicz ,  który wystąpił w  premierowym finale na bis ,  czy Marek Perepeczko demonstracyjnie objadający się pączkami na znak protestu przeciw wystąpieniom politycznym po premierze „  Rewizora ”  .
Tokens: 1______ 2_________ 3__________ 4______ 5________ 6 7__ 8 9_________ 10________ 11 12____ 13 14__ 15___________ 16 17___ 18______ 19 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 [12,12] = Dulska (confidence=1.00)
  TruePositive nam [14,15] = Adam Hanuszkiewicz (confidence=1.00)
  TruePositive nam [26,27] = Marek Perepeczko (confidence=1.00)
  FalseNegative nam [41,41] = Rewizora

(ChunkerEvaluator) Sentence #4001 from articles/00107963 from sent24

Text  : Płockie Towarzystwo Przyjaciół Teatru z okazji jubileuszu przyznało po raz pierwszy Złotą Maskę Ludziom Teatru Płockiego 1812 -  2012 ,  dedykowaną wszystkim ,  którzy angażowali się w  budowę i  rozwój zawodowej sztuki scenicznej w  naszym 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_ 27 28____ 29 30____ 31_______ 32____ 33________ 34 35____ 36_____ 37

Chunks:
  TruePositive nam [1,4] = Płockie Towarzystwo Przyjaciół Teatru (confidence=0.84)
  FalsePositive nam [12,19] = Złotą Maskę Ludziom Teatru Płockiego 1812 - 2012 (confidence=1.00)
  FalseNegative nam [12,13] = Złotą Maskę
  FalseNegative nam [15,19] = Teatru Płockiego 1812 - 2012

(ChunkerEvaluator) Sentence #4009 from articles/00107963 from sent32

Text  : To już ósma odsłona cyklu „ 200 lat płockiego teatru ”  .
Tokens: 1_ 2__ 3___ 4______ 5____ 6 7__ 8__ 9________ 10____ 11 12

Chunks:
  FalseNegative nam [7,10] = 200 lat płockiego teatru

2016-11-04 12:06:51,218 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 199 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107966.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107966.ini
(ChunkerEvaluator) Sentence #4027 from articles/00107966 from sent16

Text  : Jeśli nie będzie takiej propozycji , będziemy myśleć o dalszych formach protestu "  -  powiedział PAP Szereda .
Tokens: 1____ 2__ 3_____ 4_____ 5_________ 6 7_______ 8_____ 9 10______ 11_____ 12______ 13 14 15________ 16_ 17_____ 18

Chunks:
  FalsePositive nam [16,17] = PAP Szereda (confidence=1.00)
  FalseNegative nam [16,16] = PAP
  FalseNegative nam [17,17] = Szereda

2016-11-04 12:06:51,370 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 200 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107968.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107968.ini
(ChunkerEvaluator) Sentence #4048 from articles/00107968 from sent3

Text  : Wielu lekarzy posiada takie umiejętności , ale gdy pracują przemęczeni do granic ,  ta wiedza może nie wystarczyć -  mówi Rynkowi Zdrowia mgr Mariola Kosowicz ,  psycholog i  psychoterapeuta ,  kierownik Zakładu Psychoonkologii Centrum Onkologii w  Warszawie ,  ekspert programu "  Zdrowy dialog "  .
Tokens: 1____ 2______ 3______ 4____ 5___________ 6 7__ 8__ 9______ 10_________ 11 12____ 13 14 15____ 16__ 17_ 18________ 19 20__ 21_____ 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 [21,22] = Rynkowi Zdrowia (confidence=1.00)
  TruePositive nam [24,25] = Mariola Kosowicz (confidence=1.00)
  TruePositive nam [37,37] = Warszawie (confidence=1.00)
  FalsePositive nam [32,35] = Zakładu Psychoonkologii Centrum Onkologii (confidence=1.00)
  FalseNegative nam [42,43] = Zdrowy dialog

(ChunkerEvaluator) Sentence #4051 from articles/00107968 from sent6

Text  : Bardzo trudno tę sytuację przełamać - przyznaje Jacek Kaczyński ,  Kierownik Działu Medycznego firmy Teva Pharmaceuticals Polska ,  która jest inicjatorem programu "  Zdrowy dialog "  .
Tokens: 1_____ 2_____ 3_ 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] = Jacek Kaczyński (confidence=1.00)
  TruePositive nam [15,17] = Teva Pharmaceuticals Polska (confidence=1.00)
  FalsePositive nam [11,13] = Kierownik Działu Medycznego (confidence=0.96)
  FalseNegative nam [12,13] = Działu Medycznego
  FalseNegative nam [24,25] = Zdrowy dialog

(ChunkerEvaluator) Sentence #4058 from articles/00107968 from sent13

Text  : Filmy opatrzone są wstępem i komentarzami ekspertów compliance : prof .  Przemysława Kardasa -  kierownika I  Zakładu Medycyny Rodzinnej Uniwersytetu Medycznego w  Łodzi oraz mgr Marioli Kosowicz -  psychologa i  psychoterapeuty ,  kierownika Zakładu Psychoonkologii Centrum Onkologii 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________ 30 31_____________ 32 33________ 34_____ 35_____________ 36_____ 37_______ 38 39_______ 40

Chunks:
  TruePositive nam [12,13] = Przemysława Kardasa (confidence=1.00)
  TruePositive nam [23,23] = Łodzi (confidence=1.00)
  TruePositive nam [26,27] = Marioli Kosowicz (confidence=1.00)
  TruePositive nam [34,37] = Zakładu Psychoonkologii Centrum Onkologii (confidence=1.00)
  TruePositive nam [39,39] = Warszawie (confidence=1.00)
  FalsePositive nam [16,21] = I Zakładu Medycyny Rodzinnej Uniwersytetu Medycznego (confidence=0.95)

2016-11-04 12:06:51,537 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 201 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107969.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107969.ini
(ChunkerEvaluator) Sentence #4080 from articles/00107969 from sent4

Text  : Napastnik Groclinu Grodzisk Wlkp .
Tokens: 1________ 2_______ 3_______ 4___ 5

Chunks:
  FalsePositive nam [2,2] = Groclinu (confidence=0.98)
  FalsePositive nam [3,4] = Grodzisk Wlkp (confidence=0.79)
  FalseNegative nam [2,5] = Groclinu Grodzisk Wlkp .

(ChunkerEvaluator) Sentence #4086 from articles/00107969 from sent10

Text  : Napastnik Groclinu Grodzisk Wlkp .
Tokens: 1________ 2_______ 3_______ 4___ 5

Chunks:
  FalsePositive nam [2,2] = Groclinu (confidence=0.98)
  FalsePositive nam [3,4] = Grodzisk Wlkp (confidence=0.79)
  FalseNegative nam [2,5] = Groclinu Grodzisk Wlkp .

(ChunkerEvaluator) Sentence #4092 from articles/00107969 from sent16

Text  : Kuś prowadzi ponadto rozmowy z Widzewem Łódź .
Tokens: 1__ 2_______ 3______ 4______ 5 6_______ 7___ 8

Chunks:
  TruePositive nam [6,7] = Widzewem Łódź (confidence=1.00)
  FalseNegative nam [1,1] = Kuś

(ChunkerEvaluator) Sentence #4101 from articles/00107969 from sent25

Text  : Przypomnijmy , że Kłosiński wrócił niedawno z wypożyczenia do Nea Salamina Larnaka .
Tokens: 1___________ 2 3_ 4________ 5_____ 6_______ 7 8___________ 9_ 10_ 11______ 12_____ 13

Chunks:
  TruePositive nam [4,4] = Kłosiński (confidence=1.00)
  FalsePositive nam [10,10] = Nea (confidence=1.00)
  FalsePositive nam [11,12] = Salamina Larnaka (confidence=0.57)
  FalseNegative nam [10,12] = Nea Salamina Larnaka

(ChunkerEvaluator) Sentence #4103 from articles/00107969 from sent27

Text  : Cypryjczycy zapłacili za niego za rok z góry , zawodnik mógł zostać wypożyczony do Katowic bezpłatnie .
Tokens: 1__________ 2________ 3_ 4____ 5_ 6__ 7 8___ 9 10______ 11__ 12____ 13_________ 14 15_____ 16________ 17

Chunks:
  TruePositive nam [15,15] = Katowic (confidence=1.00)
  FalseNegative nam [1,1] = Cypryjczycy

2016-11-04 12:06:51,622 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 202 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107972.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107972.ini
(ChunkerEvaluator) Sentence #4106 from articles/00107972 from sent1

Text  : Tajemnicza Bydgoszcz na fotografiach Roberta Nowaka
Tokens: 1_________ 2________ 3_ 4___________ 5______ 6_____

Chunks:
  TruePositive nam [5,6] = Roberta Nowaka (confidence=1.00)
  FalsePositive nam [1,2] = Tajemnicza Bydgoszcz (confidence=1.00)
  FalseNegative nam [2,2] = Bydgoszcz

(ChunkerEvaluator) Sentence #4107 from articles/00107972 from sent2

Text  : Wystawę zdjęć można oglądać od czwartku ( 25 . 10 )  w  Galerii Sztuki Ludowej i  Nieprofesjonalnej WOKiS .
Tokens: 1______ 2____ 3____ 4______ 5_ 6_______ 7 8_ 9 10 11 12 13_____ 14____ 15_____ 16 17_______________ 18___ 19

Chunks:
  FalsePositive nam [13,15] = Galerii Sztuki Ludowej (confidence=1.00)
  FalsePositive nam [17,18] = Nieprofesjonalnej WOKiS (confidence=0.83)
  FalseNegative nam [13,17] = Galerii Sztuki Ludowej i Nieprofesjonalnej
  FalseNegative nam [18,18] = WOKiS

(ChunkerEvaluator) Sentence #4110 from articles/00107972 from sent5

Text  : Nowak rozpoczyna wędrówkę po mieście w miejscu swoich narodzin i  przemierza bydgoskie ulice ,  jak odkrywca :  -  Szukam swego powołania dotykając odrapanych murów starych kamienic .
Tokens: 1____ 2_________ 3_______ 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] = Nowak

(ChunkerEvaluator) Sentence #4114 from articles/00107972 from sent9

Text  : Wernisaż w czwartek ( 25 . 10 ) o godz .  17 w  Galerii Sztuki Ludowej i  Nieprofesjonalnej WOKiS na Starym Rynku 18 .
Tokens: 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] = Starym Rynku (confidence=0.95)
  FalsePositive nam [14,16] = Galerii Sztuki Ludowej (confidence=0.99)
  FalsePositive nam [18,19] = Nieprofesjonalnej WOKiS (confidence=0.51)
  FalseNegative nam [14,18] = Galerii Sztuki Ludowej i Nieprofesjonalnej
  FalseNegative nam [19,19] = WOKiS

2016-11-04 12:06:51,678 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 203 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107978.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107978.ini
2016-11-04 12:06:51,754 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 204 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107979.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107979.ini
(ChunkerEvaluator) Sentence #4135 from articles/00107979 from sent4

Text  : Dorobił się na początku lat 90 . na handlu ze Wschodem .
Tokens: 1______ 2__ 3_ 4_______ 5__ 6_ 7 8_ 9_____ 10 11______ 12

Chunks:
  FalsePositive nam [11,11] = Wschodem (confidence=1.00)

(ChunkerEvaluator) Sentence #4147 from articles/00107979 from sent16

Text  : Magda była szczęśliwa .
Tokens: 1____ 2___ 3_________ 4

Chunks:
  FalsePositive nam [1,1] = Magda (confidence=0.80)

(ChunkerEvaluator) Sentence #4150 from articles/00107979 from sent19

Text  : Krzysztof T . w towarzystwie kierowcy i ochroniarza wywiózł mnie z  firmy do Serpelic nad Bugiem ,  do swojej daczy .
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] = Krzysztof T . (confidence=1.00)
  FalsePositive nam [14,16] = Serpelic nad Bugiem (confidence=1.00)
  FalseNegative nam [14,14] = Serpelic
  FalseNegative nam [16,16] = Bugiem

(ChunkerEvaluator) Sentence #4155 from articles/00107979 from sent24

Text  : Gdy się zatrzymał , zobaczyła m jego , Krzysztofa T  .
Tokens: 1__ 2__ 3________ 4 5________ 6 7___ 8 9_________ 10 11

Chunks:
  FalsePositive nam [9,10] = Krzysztofa T (confidence=1.00)
  FalseNegative nam [9,11] = Krzysztofa T .

(ChunkerEvaluator) Sentence #4161 from articles/00107979 from sent30

Text  : T . poprosił o spotkanie .
Tokens: 1 2 3_______ 4 5________ 6

Chunks:
  FalseNegative nam [1,2] = T .

(ChunkerEvaluator) Sentence #4168 from articles/00107979 from sent37

Text  : W środę z samego rana do drzwi zapukał ksiądz K  .  ,  bialski duszpasterz akademicki .
Tokens: 1 2____ 3 4_____ 5___ 6_ 7____ 8______ 9_____ 10 11 12 13_____ 14_________ 15________ 16

Chunks:
  FalseNegative nam [10,11] = K .

(ChunkerEvaluator) Sentence #4178 from articles/00107979 from sent47

Text  : Sprawa gwałtu trafiła do bialskiej prokuratury .
Tokens: 1_____ 2_____ 3______ 4_ 5________ 6__________ 7

Chunks:
  FalseNegative nam [5,5] = bialskiej

(ChunkerEvaluator) Sentence #4182 from articles/00107979 from sent51

Text  : Zeznania Magdy potwierdzili pracownicy Krzysztofa T . , kierowca i  ochroniarz .
Tokens: 1_______ 2____ 3___________ 4_________ 5_________ 6 7 8 9_______ 10 11________ 12

Chunks:
  TruePositive nam [5,7] = Krzysztofa T . (confidence=1.00)
  FalsePositive nam [1,2] = Zeznania Magdy (confidence=0.60)
  FalseNegative nam [2,2] = Magdy

(ChunkerEvaluator) Sentence #4185 from articles/00107979 from sent54

Text  : W listopadzie 1999 r . , po czterech miesiącach śledztwa ,  prokurator przedstawił Krzysztofowi T  .  zarzuty .
Tokens: 1 2__________ 3___ 4 5 6 7_ 8_______ 9_________ 10______ 11 12________ 13_________ 14__________ 15 16 17_____ 18

Chunks:
  FalsePositive nam [14,15] = Krzysztofowi T (confidence=1.00)
  FalseNegative nam [14,16] = Krzysztofowi T .

(ChunkerEvaluator) Sentence #4194 from articles/00107979 from sent63

Text  : Sąd zakwestionował druk L - 4 .
Tokens: 1__ 2_____________ 3___ 4 5 6 7

Chunks:
  FalsePositive nam [4,6] = L - 4 (confidence=0.54)

(ChunkerEvaluator) Sentence #4196 from articles/00107979 from sent65

Text  : 14 kwietnia 2000 r . podczas drugiego terminu obrońca ponownie przedstawił zwolnienie lekarskie Krzysztofa T  .  Sąd ,  podejrzewając ,  że oskarżony może się przed rozprawami uchylać ,  zaocznie wydał nakaz aresztowania .
Tokens: 1_ 2_______ 3___ 4 5 6______ 7_______ 8______ 9______ 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 [14,17] = Krzysztofa T . Sąd (confidence=1.00)
  FalseNegative nam [15,16] = T .

(ChunkerEvaluator) Sentence #4197 from articles/00107979 from sent66

Text  : Mecenas Przeciechowski odwołał się jednak do Sądu Okręgowego w Lublinie ,  który zmienił decyzję sądu w  Białej Podlaskiej .
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] = Sądu Okręgowego (confidence=1.00)
  TruePositive nam [10,10] = Lublinie (confidence=1.00)
  TruePositive nam [17,18] = Białej Podlaskiej (confidence=1.00)
  FalsePositive nam [2,2] = Przeciechowski (confidence=1.00)
  FalseNegative nam [1,2] = Mecenas Przeciechowski

(ChunkerEvaluator) Sentence #4203 from articles/00107979 from sent72

Text  : Mecenas Przeciechowski ponownie przedstawił zwolnienie Krzysztofa T . , od innego lekarza .
Tokens: 1______ 2_____________ 3_______ 4__________ 5_________ 6_________ 7 8 9 10 11____ 12_____ 13

Chunks:
  TruePositive nam [6,8] = Krzysztofa T . (confidence=1.00)
  FalsePositive nam [2,2] = Przeciechowski (confidence=0.99)
  FalseNegative nam [1,2] = Mecenas Przeciechowski

(ChunkerEvaluator) Sentence #4205 from articles/00107979 from sent74

Text  : Biegli z Warszawy nie znaleźli jednak przeszkód , by T  .  brał udział w  rozprawach .
Tokens: 1_____ 2 3_______ 4__ 5_______ 6_____ 7________ 8 9_ 10 11 12__ 13____ 14 15________ 16

Chunks:
  TruePositive nam [3,3] = Warszawy (confidence=1.00)
  FalsePositive nam [10,10] = T (confidence=0.67)
  FalseNegative nam [10,11] = T .

(ChunkerEvaluator) Sentence #4216 from articles/00107979 from sent85

Text  : Sędzia co prawda odrzucił kolejny wniosek obrony o przeprowadzenie badań psychiatrycznych oskarżonego ,  ale był bezsilny ,  kiedy T  .  niespodziewanie cofnął obrońcom pełnomocnictwa (  powołał się na rzekomy konflikt linii obrony mecenasów Przeciechowskiego i  Piesiewicza )  .
Tokens: 1_____ 2_ 3_____ 4_______ 5______ 6______ 7_____ 8 9______________ 10___ 11______________ 12_________ 13 14_ 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 [34,34] = Przeciechowskiego (confidence=1.00)
  TruePositive nam [36,36] = Piesiewicza (confidence=0.94)
  FalseNegative nam [19,20] = T .

(ChunkerEvaluator) Sentence #4220 from articles/00107979 from sent89

Text  : Tego dnia sąd wydał nakaz aresztowania T . , a  policja rozesłała za nim list gończy .
Tokens: 1___ 2___ 3__ 4____ 5____ 6___________ 7 8 9 10 11_____ 12_______ 13 14_ 15__ 16____ 17

Chunks:
  FalseNegative nam [7,8] = T .

(ChunkerEvaluator) Sentence #4223 from articles/00107979 from sent92

Text  : Za Krzysztofem T . ręczyli osobiście poseł SLD z Żyrardowa Benedykt Suchecki oraz redaktor naczelny „  Chłopskiej Drogi ”  i  „  Tygodnika Chełmskiego ”  ,  a  w  przeszłości sekretarz KC PZPR Waldemar Świrgoń .
Tokens: 1_ 2__________ 3 4 5______ 6________ 7____ 8__ 9 10_______ 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 [2,4] = Krzysztofem T . (confidence=1.00)
  TruePositive nam [8,8] = SLD (confidence=1.00)
  TruePositive nam [10,10] = Żyrardowa (confidence=1.00)
  TruePositive nam [11,12] = Benedykt Suchecki (confidence=0.81)
  TruePositive nam [17,18] = Chłopskiej Drogi (confidence=0.98)
  TruePositive nam [22,23] = Tygodnika Chełmskiego (confidence=1.00)
  TruePositive nam [32,33] = Waldemar Świrgoń (confidence=0.96)
  FalsePositive nam [30,30] = KC (confidence=0.96)
  FalsePositive nam [31,31] = PZPR (confidence=0.60)
  FalseNegative nam [30,31] = KC PZPR

(ChunkerEvaluator) Sentence #4228 from articles/00107979 from sent97

Text  : W tej chwili nie pamiętam , kto namówił mnie do poręczenia za T  .  -  tłumaczy poseł Suchecki .
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] = Suchecki (confidence=1.00)
  FalsePositive nam [13,13] = T (confidence=0.67)
  FalseNegative nam [13,14] = T .

(ChunkerEvaluator) Sentence #4231 from articles/00107979 from sent100

Text  : Waldemar Świrgoń poznał T . na początku lat 90 .
Tokens: 1_______ 2______ 3_____ 4 5 6_ 7_______ 8__ 9_ 10

Chunks:
  TruePositive nam [1,2] = Waldemar Świrgoń (confidence=1.00)
  FalseNegative nam [4,5] = T .

(ChunkerEvaluator) Sentence #4237 from articles/00107979 from sent106

Text  : - Rozmawiał em z T .
Tokens: 1 2________ 3_ 4 5 6

Chunks:
  FalsePositive nam [5,5] = T (confidence=0.88)
  FalseNegative nam [5,6] = T .

(ChunkerEvaluator) Sentence #4244 from articles/00107979 from sent113

Text  : Ostatnio prosił o poradę w sprawie kasacji do Prezydenta RP w  sprawie wstrzymania decyzji o  tymczasowym aresztowaniu .
Tokens: 1_______ 2_____ 3 4_____ 5 6______ 7______ 8_ 9_________ 10 11 12_____ 13_________ 14_____ 15 16_________ 17__________ 18

Chunks:
  FalsePositive nam [9,10] = Prezydenta RP (confidence=0.88)

(ChunkerEvaluator) Sentence #4251 from articles/00107979 from sent120

Text  : Na początku listopada do lubelskiej redakcji „ Gazety Wyborczej ”  zadzwonił telefon :  -  Mieszkam niedaleko Krzysztofa T  .  Spotykam go w  sklepie ,  na ulicy ,  w  samochodzie .
Tokens: 1_ 2_______ 3________ 4_ 5_________ 6_______ 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] = Gazety Wyborczej (confidence=1.00)
  FalsePositive nam [17,20] = Krzysztofa T . Spotykam (confidence=1.00)
  FalseNegative nam [17,19] = Krzysztofa T .

(ChunkerEvaluator) Sentence #4269 from articles/00107979 from sent138

Text  : - T . powinien być w domu - mówi zapytany przechodzień .
Tokens: 1 2 3 4_______ 5__ 6 7___ 8 9___ 10______ 11__________ 12

Chunks:
  FalseNegative nam [2,3] = T .

(ChunkerEvaluator) Sentence #4274 from articles/00107979 from sent143

Text  : Komendantem bialskiej policji jest młodszy inspektor Waldemar Pruski ( zastąpił aresztowanego przed rokiem za łapówki Andrzeja Sz .  )  .
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] = Waldemar Pruski (confidence=1.00)
  FalsePositive nam [16,17] = Andrzeja Sz (confidence=1.00)
  FalseNegative nam [16,18] = Andrzeja Sz .

(ChunkerEvaluator) Sentence #4282 from articles/00107979 from sent151

Text  : Kobieta musi mieć kontakt z T . Mimo to nie została dotąd przesłuchana .
Tokens: 1______ 2___ 3___ 4______ 5 6 7 8___ 9_ 10_ 11_____ 12___ 13__________ 14

Chunks:
  FalsePositive nam [6,8] = T . Mimo (confidence=1.00)
  FalseNegative nam [6,7] = T .

(ChunkerEvaluator) Sentence #4285 from articles/00107979 from sent154

Text  : Kierowca jako ciekawostkę powiedział , że jego kolega z Radio Taxi kilka minut wcześniej otrzymał wezwanie od Krzysztofa T  .  Poszukiwany zamówił kurs do Chełma .
Tokens: 1_______ 2___ 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] = Radio Taxi (confidence=1.00)
  TruePositive nam [25,25] = Chełma (confidence=1.00)
  FalsePositive nam [18,21] = Krzysztofa T . Poszukiwany (confidence=1.00)
  FalseNegative nam [18,20] = Krzysztofa T .

(ChunkerEvaluator) Sentence #4287 from articles/00107979 from sent156

Text  : Jednak taksówkarz , który wiózł T . , nie został nawet przesłuchany -  opowiada sędzia .
Tokens: 1_____ 2_________ 3 4____ 5____ 6 7 8 9__ 10____ 11___ 12__________ 13 14______ 15____ 16

Chunks:
  FalseNegative nam [6,7] = T .

(ChunkerEvaluator) Sentence #4289 from articles/00107979 from sent158

Text  : Sędzia : - T . ma w Serpelicach nad Bugiem dwie dacze .
Tokens: 1_____ 2 3 4 5 6_ 7 8__________ 9__ 10____ 11__ 12___ 13

Chunks:
  TruePositive nam [8,8] = Serpelicach (confidence=1.00)
  TruePositive nam [10,10] = Bugiem (confidence=0.85)
  FalseNegative nam [4,5] = T .

(ChunkerEvaluator) Sentence #4303 from articles/00107979 from sent172

Text  : „ Do bialskiej komendy policji wpłynęły cztery informacje [ o  miejscu pobytu Krzysztofa T  .
Tokens: 1 2_ 3________ 4______ 5______ 6_______ 7_____ 8_________ 9 10 11_____ 12____ 13________ 14 15

Chunks:
  FalsePositive nam [13,14] = Krzysztofa T (confidence=1.00)
  FalseNegative nam [14,15] = T .

2016-11-04 12:06:52,457 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 205 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107980.xml
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(ChunkerEvaluator) Sentence #4311 from articles/00107980 from sent1

Text  : Williams rozbiła Azarenkę
Tokens: 1_______ 2______ 3_______

Chunks:
  TruePositive nam [3,3] = Azarenkę (confidence=0.99)
  FalseNegative nam [1,1] = Williams

(ChunkerEvaluator) Sentence #4312 from articles/00107980 from sent2

Text  : Williams rozbiła Azarenkę
Tokens: 1_______ 2______ 3_______

Chunks:
  TruePositive nam [3,3] = Azarenkę (confidence=0.99)
  FalseNegative nam [1,1] = Williams

(ChunkerEvaluator) Sentence #4317 from articles/00107980 from sent7

Text  : Amerykańska tenisistka Serena Williams nie znalazła pogromczyni w Grupie Czerwonej turnieju masters -  WTA Championships (  pula nagród 4  ,  9  mln dol .  )  i  z  kompletem trzech zwycięstw weszła do półfinału .
Tokens: 1__________ 2_________ 3_____ 4_______ 5__ 6_______ 7__________ 8 9_____ 10_______ 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] = Serena Williams (confidence=1.00)
  TruePositive nam [9,10] = Grupie Czerwonej (confidence=1.00)
  TruePositive nam [14,15] = WTA Championships (confidence=1.00)
  FalseNegative nam [23,24] = dol .

(ChunkerEvaluator) Sentence #4319 from articles/00107980 from sent9

Text  : Williams to była liderka rankingu WTA Tour , która w  tym sezonie osiągała najlepsze wyniki wśród czołowych tenisistek świata .
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] = WTA Tour (confidence=1.00)
  FalseNegative nam [1,1] = Williams

(ChunkerEvaluator) Sentence #4320 from articles/00107980 from sent10

Text  : Wygrała sześć turniejów , przy czym udało jej się skompletować tzw .  Złotego Szlema w  karierze ,  czyli do zwycięstw w  każdej z  imprez zaliczanych do Wielkiego Szlema dorzuciła mistrzostwo igrzysk olimpijskich .
Tokens: 1______ 2____ 3________ 4 5___ 6___ 7____ 8__ 9__ 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 [13,14] = Złotego Szlema (confidence=1.00)
  TruePositive nam [27,28] = Wielkiego Szlema (confidence=1.00)
  FalsePositive nam [31,32] = igrzysk olimpijskich (confidence=0.65)

(ChunkerEvaluator) Sentence #4326 from articles/00107980 from sent16

Text  : 6 : 4 , 6 : 1 , a dzień później pokonała Chinkę Na Li (  nr 8  .  )
Tokens: 1 2 3 4 5 6 7 8 9 10___ 11_____ 12______ 13____ 14 15 16 17 18 19 20

Chunks:
  FalsePositive nam [13,15] = Chinkę Na Li (confidence=1.00)
  FalseNegative nam [13,13] = Chinkę
  FalseNegative nam [14,15] = Na Li

(ChunkerEvaluator) Sentence #4329 from articles/00107980 from sent19

Text  : - Wika jest bardzo dobrą zawodniczką , dlatego musiała m  dać z  siebie więcej niż w  poprzednich meczach .
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] = Wika

(ChunkerEvaluator) Sentence #4338 from articles/00107980 from sent28

Text  : Ten turniej przyniósł mi nowe doświadczenia , które mogą tylko zaprocentować w  przyszłości i  pomóc mi jeszcze bardziej poprawić swój tenis -  podsumowała start w  Stambule Kerber ,  która często trenuje na kortach swojego dziadka w  Puszczykowie pod Poznaniem .
Tokens: 1__ 2______ 3________ 4_ 5___ 6____________ 7 8____ 9___ 10___ 11___________ 12 13_________ 14 15___ 16 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 [37,37] = Puszczykowie (confidence=1.00)
  TruePositive nam [39,39] = Poznaniem (confidence=1.00)
  FalsePositive nam [26,27] = Stambule Kerber (confidence=1.00)
  FalseNegative nam [26,26] = Stambule
  FalseNegative nam [27,27] = Kerber

(ChunkerEvaluator) Sentence #4339 from articles/00107980 from sent29

Text  : Williams spotka się w sobotę z zawodniczką , która zakończy na drugim miejscu rywalizację w  Grupie Białej .
Tokens: 1_______ 2_____ 3__ 4 5_____ 6 7__________ 8 9____ 10______ 11 12____ 13_____ 14_________ 15 16____ 17____ 18

Chunks:
  TruePositive nam [16,17] = Grupie Białej (confidence=1.00)
  FalseNegative nam [1,1] = Williams

(ChunkerEvaluator) Sentence #4340 from articles/00107980 from sent30

Text  : Może nią być Agnieszka Radwańska ( nr 4 . )  ,  jeśli w  piątek pokona Włoszkę Sarę Errani (  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

Chunks:
  TruePositive nam [4,5] = Agnieszka Radwańska (confidence=1.00)
  FalsePositive nam [16,18] = Włoszkę Sarę Errani (confidence=0.99)
  FalseNegative nam [16,16] = Włoszkę
  FalseNegative nam [17,18] = Sarę Errani

(ChunkerEvaluator) Sentence #4341 from articles/00107980 from sent31

Text  : Polka jest obecnie druga w tabeli z dorobkiem jednego zwycięstwa i  jednej porażki .
Tokens: 1____ 2___ 3______ 4____ 5 6_____ 7 8________ 9______ 10________ 11 12____ 13_____ 14

Chunks:
  FalseNegative nam [1,1] = Polka

2016-11-04 12:06:52,587 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 206 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107982.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107982.ini
(ChunkerEvaluator) Sentence #4346 from articles/00107982 from sent5

Text  : W sobotę zagrają : Warta Kamieńskie Młyny - Orzeł Kiedrzyn ,  Znicz Kłobuck -  Sparta Siedlec Duży ,  Pogoń Kamyk -  Jedność Boronów ,  Unia Kalety -  KS Panki ,  Sparta Lubliniec -  Liswarta Lisów ,  Polonia Poraj -  Lotnik Kościelec ,  MLKS Woźniki -  Orkan Rzerzęczyce .
Tokens: 1 2_____ 3______ 4 5____ 6_________ 7____ 8 9____ 10______ 11 12___ 13_____ 14 15____ 16_____ 17__ 18 19___ 20___ 21 22_____ 23_____ 24 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 [5,7] = Warta Kamieńskie Młyny (confidence=1.00)
  TruePositive nam [9,10] = Orzeł Kiedrzyn (confidence=0.99)
  TruePositive nam [12,13] = Znicz Kłobuck (confidence=1.00)
  TruePositive nam [15,17] = Sparta Siedlec Duży (confidence=0.95)
  TruePositive nam [19,20] = Pogoń Kamyk (confidence=1.00)
  TruePositive nam [22,23] = Jedność Boronów (confidence=0.90)
  TruePositive nam [25,26] = Unia Kalety (confidence=1.00)
  TruePositive nam [31,32] = Sparta Lubliniec (confidence=1.00)
  TruePositive nam [34,35] = Liswarta Lisów (confidence=0.94)
  TruePositive nam [37,38] = Polonia Poraj (confidence=1.00)
  TruePositive nam [40,41] = Lotnik Kościelec (confidence=0.83)
  TruePositive nam [43,44] = MLKS Woźniki (confidence=1.00)
  TruePositive nam [46,47] = Orkan Rzerzęczyce (confidence=0.99)
  FalsePositive nam [29,29] = Panki (confidence=0.95)
  FalseNegative nam [28,29] = KS Panki

2016-11-04 12:06:52,619 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 207 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107985.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107985.ini
(ChunkerEvaluator) Sentence #4361 from articles/00107985 from sent12

Text  : Stwierdził też , że uczestnicy wyjazdu do hotelu SPA nad morzem ,  gdzie radni i  urzędnicy ustalali podwyżki czynszów w  mieszkaniach komunalnych -  powinni oddać 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

Chunks:
  FalsePositive nam [9,9] = SPA (confidence=0.99)

(ChunkerEvaluator) Sentence #4362 from articles/00107985 from sent13

Text  : Słowa Brudzińskiego to wyraźny sygnał dany Kądziołce , że ze stanowiskiem wiceprezydenta powinien się pożegnać .
Tokens: 1____ 2____________ 3_ 4______ 5_____ 6___ 7________ 8 9_ 10 11__________ 12____________ 13______ 14_ 15______ 16

Chunks:
  TruePositive nam [7,7] = Kądziołce (confidence=0.99)
  FalsePositive nam [1,2] = Słowa Brudzińskiego (confidence=0.58)
  FalseNegative nam [2,2] = Brudzińskiego

2016-11-04 12:06:52,686 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 208 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107986.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107986.ini
(ChunkerEvaluator) Sentence #4369 from articles/00107986 from sent4

Text  : Obok Euro 2012 Zimowe Igrzyska Olimpijskie były by największą imprezą sportowa w  Polsce .
Tokens: 1___ 2___ 3___ 4_____ 5_______ 6__________ 7___ 8_ 9_________ 10_____ 11______ 12 13____ 14

Chunks:
  TruePositive nam [13,13] = Polsce (confidence=1.00)
  FalsePositive nam [2,6] = Euro 2012 Zimowe Igrzyska Olimpijskie (confidence=0.94)
  FalseNegative nam [2,3] = Euro 2012
  FalseNegative nam [4,6] = Zimowe Igrzyska Olimpijskie

(ChunkerEvaluator) Sentence #4370 from articles/00107986 from sent5

Text  : Jako pierwszy hasło „ Igrzyska Olimpijskie 2022 w Krakowie ”  rzucił Piotr Nurowski ,  nieżyjący prezes Polskiego Komitetu Olimpijskiego .
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] = Piotr Nurowski (confidence=1.00)
  TruePositive nam [17,19] = Polskiego Komitetu Olimpijskiego (confidence=1.00)
  FalsePositive nam [5,9] = Igrzyska Olimpijskie 2022 w Krakowie (confidence=1.00)
  FalseNegative nam [5,7] = Igrzyska Olimpijskie 2022
  FalseNegative nam [9,9] = Krakowie

(ChunkerEvaluator) Sentence #4398 from articles/00107986 from sent33

Text  : Na portalu krakow.sport.pl pytali śmy , czy Kraków powinien ubiegać się o  IO .
Tokens: 1_ 2______ 3______________ 4_____ 5__ 6 7__ 8_____ 9_______ 10_____ 11_ 12 13 14

Chunks:
  TruePositive nam [8,8] = Kraków (confidence=1.00)
  TruePositive nam [13,13] = IO (confidence=0.96)
  FalseNegative nam [3,3] = krakow.sport.pl

2016-11-04 12:06:52,802 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 209 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107987.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107987.ini
(ChunkerEvaluator) Sentence #4406 from articles/00107987 from sent3

Text  : Warszawa nieodbudowana - Foksal 17 .
Tokens: 1_______ 2____________ 3 4_____ 5_ 6

Chunks:
  TruePositive nam [1,1] = Warszawa (confidence=0.82)
  FalsePositive nam [4,5] = Foksal 17 (confidence=0.80)
  FalseNegative nam [4,4] = Foksal

(ChunkerEvaluator) Sentence #4409 from articles/00107987 from sent6

Text  : Fasada kamienicy przy Foksal 17 nie porywa .
Tokens: 1_____ 2________ 3___ 4_____ 5_ 6__ 7_____ 8

Chunks:
  FalsePositive nam [4,5] = Foksal 17 (confidence=1.00)
  FalseNegative nam [4,4] = Foksal

(ChunkerEvaluator) Sentence #4427 from articles/00107987 from sent24

Text  : Czy to Méyet myślał o budowie empirowo modernistycznej kamienicy przy Foksal ?
Tokens: 1__ 2_ 3____ 4_____ 5 6______ 7_______ 8______________ 9________ 10__ 11____ 12

Chunks:
  TruePositive nam [11,11] = Foksal (confidence=1.00)
  FalseNegative nam [3,3] = Méyet

(ChunkerEvaluator) Sentence #4446 from articles/00107987 from sent43

Text  : Zdaniem Jasińskiego nie było to małżeństwo z miłości .
Tokens: 1______ 2__________ 3__ 4___ 5_ 6_________ 7 8______ 9

Chunks:
  FalsePositive nam [1,2] = Zdaniem Jasińskiego (confidence=0.84)
  FalseNegative nam [2,2] = Jasińskiego

(ChunkerEvaluator) Sentence #4447 from articles/00107987 from sent44

Text  : Gdy Bank Międzynarodowy zaczął podupadać , Roman Badior postanowił bogato się ożenić .
Tokens: 1__ 2___ 3_____________ 4_____ 5________ 6 7____ 8_____ 9_________ 10____ 11_ 12____ 13

Chunks:
  TruePositive nam [7,8] = Roman Badior (confidence=1.00)
  FalsePositive nam [1,3] = Gdy Bank Międzynarodowy (confidence=0.62)
  FalseNegative nam [2,3] = Bank Międzynarodowy

(ChunkerEvaluator) Sentence #4449 from articles/00107987 from sent46

Text  : „ Panna Tuta była wprawdzie elegancka i zgrabna , lecz na twarzy dziwnie szpetna ,  a  przy tym przez rodziców psuta i  pieszczona miała w  główce mocno przewrócone .
Tokens: 1 2____ 3___ 4___ 5________ 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 [2,3] = Panna Tuta (confidence=0.99)
  FalseNegative nam [3,3] = Tuta

(ChunkerEvaluator) Sentence #4459 from articles/00107987 from sent56

Text  : Zdaniem Jasińskiego rzekome skąpstwo na przyjęciach przy Foksal wynikało z  braku pieniędzy pary młodej .
Tokens: 1______ 2__________ 3______ 4_______ 5_ 6__________ 7___ 8_____ 9_______ 10 11___ 12_______ 13__ 14____ 15

Chunks:
  TruePositive nam [8,8] = Foksal (confidence=0.98)
  FalsePositive nam [1,2] = Zdaniem Jasińskiego (confidence=1.00)
  FalseNegative nam [2,2] = Jasińskiego

(ChunkerEvaluator) Sentence #4460 from articles/00107987 from sent57

Text  : Tuta nie dostała bowiem ani złotówki posagu .
Tokens: 1___ 2__ 3______ 4_____ 5__ 6_______ 7_____ 8

Chunks:
  FalseNegative nam [1,1] = Tuta

(ChunkerEvaluator) Sentence #4463 from articles/00107987 from sent60

Text  : Roman z kolei zarabiał zbyt mało , by być w  stanie utrzymać na wysokim poziomie ogromny dom przy Foksal .
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] = Foksal (confidence=1.00)
  FalseNegative nam [1,1] = Roman

(ChunkerEvaluator) Sentence #4464 from articles/00107987 from sent61

Text  : Tuta nie potrafiła zrezygnować ze swoich kosztownych zachcianek .
Tokens: 1___ 2__ 3________ 4__________ 5_ 6_____ 7__________ 8_________ 9

Chunks:
  FalseNegative nam [1,1] = Tuta

(ChunkerEvaluator) Sentence #4467 from articles/00107987 from sent64

Text  : Tuta wyjeżdżała do Krakowa na coraz dłużej i w końcu nie wróciła .
Tokens: 1___ 2_________ 3_ 4______ 5_ 6____ 7_____ 8 9 10___ 11_ 12_____ 13

Chunks:
  TruePositive nam [4,4] = Krakowa (confidence=0.99)
  FalseNegative nam [1,1] = Tuta

(ChunkerEvaluator) Sentence #4473 from articles/00107987 from sent70

Text  : Bodo z arlekinem
Tokens: 1___ 2 3________

Chunks:
  FalseNegative nam [1,1] = Bodo

(ChunkerEvaluator) Sentence #4482 from articles/00107987 from sent79

Text  : Gdy zaczęła się wojna , aktor uciekł z Warszawy na Wschód i  jak wielu innych ludzi kultury znalazł się we Lwowie .
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] = Warszawy (confidence=1.00)
  TruePositive nam [21,21] = Lwowie (confidence=1.00)
  FalsePositive nam [11,11] = Wschód (confidence=1.00)

(ChunkerEvaluator) Sentence #4483 from articles/00107987 from sent80

Text  : Gdy Sowieci pozwoli na zakładanie teatrzyków , został konferansjerem w  Tea -  Jazzie prowadzonym przez Henryka Warsa .
Tokens: 1__ 2______ 3______ 4_ 5_________ 6_________ 7 8_____ 9_____________ 10 11_ 12 13____ 14_________ 15___ 16_____ 17___ 18

Chunks:
  TruePositive nam [11,13] = Tea - Jazzie (confidence=1.00)
  TruePositive nam [16,17] = Henryka Warsa (confidence=1.00)
  FalseNegative nam [2,2] = Sowieci

(ChunkerEvaluator) Sentence #4488 from articles/00107987 from sent85

Text  : Według ustaleń Niciei Bodo został aresztowany 25 czerwca 1941 r  .  już po ataku Niemiec na ZSRR .
Tokens: 1_____ 2______ 3_____ 4___ 5_____ 6__________ 7_ 8______ 9___ 10 11 12_ 13 14___ 15_____ 16 17__ 18

Chunks:
  TruePositive nam [15,15] = Niemiec (confidence=1.00)
  TruePositive nam [17,17] = ZSRR (confidence=0.99)
  FalsePositive nam [3,4] = Niciei Bodo (confidence=1.00)
  FalseNegative nam [3,3] = Niciei
  FalseNegative nam [4,4] = Bodo

(ChunkerEvaluator) Sentence #4494 from articles/00107987 from sent91

Text  : W Cyganerii Świętochowski z Zygmuntem Rewkowskim założyli Duet Cyników .
Tokens: 1 2________ 3____________ 4 5________ 6_________ 7_______ 8___ 9______ 10

Chunks:
  TruePositive nam [5,6] = Zygmuntem Rewkowskim (confidence=1.00)
  TruePositive nam [8,9] = Duet Cyników (confidence=0.99)
  FalsePositive nam [2,3] = Cyganerii Świętochowski (confidence=0.99)
  FalseNegative nam [2,2] = Cyganerii
  FalseNegative nam [3,3] = Świętochowski

2016-11-04 12:06:53,188 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 210 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107989.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107989.ini
(ChunkerEvaluator) Sentence #4518 from articles/00107989 from sent3

Text  : Sześć tablic upamiętniających zmarłych ratowników górskich odsłonięto w piątek przy sanktuarium Maryjnym na Wiktorówkach w  Tatrach podczas obchodów Dnia Ratownika Tatrzańskiego .
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] = Tatrach (confidence=0.93)
  TruePositive nam [19,21] = Dnia Ratownika Tatrzańskiego (confidence=0.97)
  FalsePositive nam [12,12] = Maryjnym (confidence=0.96)
  FalsePositive nam [14,14] = Wiktorówkach (confidence=0.91)
  FalseNegative nam [11,14] = sanktuarium Maryjnym na Wiktorówkach

(ChunkerEvaluator) Sentence #4519 from articles/00107989 from sent4

Text  : Dzień Ratownika Tatrzańskiego obchodzony jest co roku około 29 października czyli w  rocznicę powstania Tatrzańskiego Ochotniczego Pogotowia Ratunkowego (  TOPR )  ,  które założono w  1909 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

Chunks:
  TruePositive nam [15,18] = Tatrzańskiego Ochotniczego Pogotowia Ratunkowego (confidence=1.00)
  TruePositive nam [20,20] = TOPR (confidence=0.97)
  FalsePositive nam [2,3] = Ratownika Tatrzańskiego (confidence=0.65)
  FalseNegative nam [1,3] = Dzień Ratownika Tatrzańskiego

(ChunkerEvaluator) Sentence #4521 from articles/00107989 from sent6

Text  : Przy sanktuarium Matki Bożej Jaworzyńskiej na Wiktorówkach od wielu lat na murze umieszczane są tabliczki upamiętniające ludzi ,  którzy zginęli w  górach .
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 [3,5] = Matki Bożej Jaworzyńskiej (confidence=1.00)
  FalsePositive nam [7,7] = Wiktorówkach (confidence=0.88)
  FalseNegative nam [2,7] = sanktuarium Matki Bożej Jaworzyńskiej na Wiktorówkach

(ChunkerEvaluator) Sentence #4523 from articles/00107989 from sent8

Text  : Jedna z nich poświęcona jest zmarłemu w tym roku ratownikowi TOPR Józefowi Uznańskiemu ,  który podczas II wojny światowej zasłynął brawurową ucieczką przed Niemcami skacząc z  wagonika kolejki linowej pod szczytem Kasprowego Wierchu .
Tokens: 1____ 2 3___ 4_________ 5___ 6_______ 7 8__ 9___ 10_________ 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 [11,11] = TOPR (confidence=0.99)
  TruePositive nam [12,13] = Józefowi Uznańskiemu (confidence=0.97)
  TruePositive nam [24,24] = Niemcami (confidence=1.00)
  TruePositive nam [32,33] = Kasprowego Wierchu (confidence=1.00)
  FalseNegative nam [17,19] = II wojny światowej

(ChunkerEvaluator) Sentence #4528 from articles/00107989 from sent13

Text  : Odsłonięcie pamiątkowych tabliczek poprzedziła uroczysta msza św . w sanktuarium na Wiktorówkach ,  które położone jest na wysokości 1200 m  n  .  p  .  m  .  ,  nieopodal Rusinowej Polany w  Tatrach .
Tokens: 1__________ 2___________ 3________ 4__________ 5________ 6___ 7_ 8 9 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 [29,30] = Rusinowej Polany (confidence=1.00)
  TruePositive nam [32,32] = Tatrach (confidence=1.00)
  FalsePositive nam [12,12] = Wiktorówkach (confidence=0.95)
  FalseNegative nam [10,12] = sanktuarium na Wiktorówkach

(ChunkerEvaluator) Sentence #4531 from articles/00107989 from sent16

Text  : Tatrzańskie Ochotnicze Pogotowie Ratunkowe powstało w 1909 roku .
Tokens: 1__________ 2_________ 3________ 4________ 5_______ 6 7___ 8___ 9

Chunks:
  FalsePositive nam [2,4] = Ochotnicze Pogotowie Ratunkowe (confidence=0.58)
  FalseNegative nam [1,4] = Tatrzańskie Ochotnicze Pogotowie Ratunkowe

(ChunkerEvaluator) Sentence #4535 from articles/00107989 from sent20

Text  : Historia sanktuarium na Wiktorówkach - zwanego sanktuarium Matki Bożej Jaworzyńskiej lub Matki Bożej Królowej Tatr -  związana jest z  objawieniem się w  1860 roku w  tym miejscu Matki Bożej 14 -  letniej góralce Marysi Murzańskiej .
Tokens: 1_______ 2__________ 3_ 4___________ 5 6______ 7__________ 8____ 9____ 10___________ 11_ 12___ 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 [12,15] = Matki Bożej Królowej Tatr (confidence=0.89)
  TruePositive nam [28,29] = Matki Bożej (confidence=0.99)
  TruePositive nam [34,35] = Marysi Murzańskiej (confidence=1.00)
  FalsePositive nam [4,4] = Wiktorówkach (confidence=0.96)
  FalsePositive nam [8,10] = Matki Bożej Jaworzyńskiej (confidence=0.99)
  FalseNegative nam [2,4] = sanktuarium na Wiktorówkach
  FalseNegative nam [7,10] = sanktuarium Matki Bożej Jaworzyńskiej

(ChunkerEvaluator) Sentence #4536 from articles/00107989 from sent21

Text  : Maryja przekazała Marysi polecenie dla ludzi , by nie grzeszyli i  pokutowali za dawne winy .
Tokens: 1_____ 2_________ 3_____ 4________ 5__ 6____ 7 8_ 9__ 10_______ 11 12________ 13 14___ 15__ 16

Chunks:
  TruePositive nam [3,3] = Marysi (confidence=0.99)
  FalseNegative nam [1,1] = Maryja

(ChunkerEvaluator) Sentence #4538 from articles/00107989 from sent23

Text  : W 1975 roku ks . kardynał Karol Wojtyła powołał na Wiktorówkach Duszpasterstwo Turystyczne w  Tatrach .
Tokens: 1 2___ 3___ 4_ 5 6_______ 7____ 8______ 9______ 10 11__________ 12____________ 13_________ 14 15_____ 16

Chunks:
  TruePositive nam [7,8] = Karol Wojtyła (confidence=1.00)
  TruePositive nam [15,15] = Tatrach (confidence=1.00)
  FalsePositive nam [11,13] = Wiktorówkach Duszpasterstwo Turystyczne (confidence=1.00)
  FalseNegative nam [11,11] = Wiktorówkach
  FalseNegative nam [12,13] = Duszpasterstwo Turystyczne

(ChunkerEvaluator) Sentence #4540 from articles/00107989 from sent25

Text  : W lipcu br . w tatrzańskim sanktuarium umieszczono relikwiarz z  krwią bł .  Jana Pawła II .  (  PAP )
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] = PAP (confidence=0.99)
  FalsePositive nam [14,17] = Jana Pawła II . (confidence=1.00)
  FalseNegative nam [14,16] = Jana Pawła II

2016-11-04 12:06:53,310 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 211 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107992.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107992.ini
(ChunkerEvaluator) Sentence #4549 from articles/00107992 from sent9

Text  : 30 października tamtejsza politechnika podpisała umowę z firmą Doppelmayr ,  za sprawą której za jakiś czas wzdłuż Odry w  powietrzu będą kursować 15 -  osobowe gondole -  czytamy na 24opole.pl .  Opolanie wciąż muszą więc marzyć o  tym ,  że kiedyś zamiast stać w  korkach ,  będą mogli nad nimi poszybować .
Tokens: 1_ 2___________ 3________ 4___________ 5________ 6____ 7 8____ 9_________ 10 11 12____ 13____ 14 15___ 16__ 17____ 18__ 19 20_______ 21__ 22______ 23 24 25_____ 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 [9,9] = Doppelmayr (confidence=1.00)
  TruePositive nam [18,18] = Odry (confidence=0.99)
  TruePositive nam [30,30] = 24opole.pl (confidence=0.90)
  FalsePositive nam [32,32] = Opolanie (confidence=0.98)

(ChunkerEvaluator) Sentence #4550 from articles/00107992 from sent10

Text  : Mieszkańcy Kędzierzyna - Koźla wymarzyli zaś sobie możliwość oglądania bezpośrednich transmisji z  dewastowania ich miasta .
Tokens: 1_________ 2__________ 3 4____ 5________ 6__ 7____ 8________ 9________ 10___________ 11________ 12 13__________ 14_ 15____ 16

Chunks:
  FalsePositive nam [1,4] = Mieszkańcy Kędzierzyna - Koźla (confidence=0.72)
  FalseNegative nam [2,4] = Kędzierzyna - Koźla

2016-11-04 12:06:53,386 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 212 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107993.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107993.ini
2016-11-04 12:06:53,425 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 213 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107995.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107995.ini
(ChunkerEvaluator) Sentence #4579 from articles/00107995 from sent8

Text  : Narastająco po 9 miesiącach br . poziom sprzedaży wzrósł o  17 proc .  w  porównaniu do tego okresu 2011 r  .  i  osiągnął 158 ,  1  mln 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

Chunks:
  TruePositive nam [28,28] = zł (confidence=1.00)
  FalsePositive nam [1,1] = Narastająco (confidence=0.51)

(ChunkerEvaluator) Sentence #4581 from articles/00107995 from sent10

Text  : - Największym wyzwaniem od początku roku w sieci TextilMarket jest uzyskanie wyższej dynamiki wzrostu sprzedaży niż przyrostu powierzchni sklepów -  powiedział Bogusz Kruszyński ,  wiceprezes zarządu Redan SA .
Tokens: 1 2__________ 3________ 4_ 5_______ 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 [9,9] = TextilMarket (confidence=1.00)
  TruePositive nam [22,23] = Bogusz Kruszyński (confidence=1.00)
  FalsePositive nam [27,28] = Redan SA (confidence=1.00)
  FalseNegative nam [27,29] = Redan SA .

(ChunkerEvaluator) Sentence #4585 from articles/00107995 from sent14

Text  : Narastająco sprzedaż sektora modowego za 9 miesięcy wyniosła 144 ,  8  mln zł i  wzrosła o  15 proc .
Tokens: 1__________ 2_______ 3______ 4_______ 5_ 6 7_______ 8_______ 9__ 10 11 12_ 13 14 15_____ 16 17 18__ 19

Chunks:
  FalsePositive nam [13,13] = zł (confidence=1.00)

2016-11-04 12:06:53,545 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 214 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107996.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00107996.ini
(ChunkerEvaluator) Sentence #4594 from articles/00107996 from sent3

Text  : Mamy już prawie sto tysięcy fanów na Facebooku i z  tej okazji chcemy oddać go w  Wasze ręce .
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] = Facebooku (confidence=0.99)
  FalsePositive nam [17,17] = Wasze (confidence=0.91)

(ChunkerEvaluator) Sentence #4601 from articles/00107996 from sent10

Text  : Istnieje oczywiście możliwość ułożenia elastycznego grafika , który będzie Wam pozwalał na wykonywanie Waszej pracy ,  nauki ,  pasji itp .
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 [10,10] = Wam (confidence=0.58)

(ChunkerEvaluator) Sentence #4616 from articles/00107996 from sent25

Text  : Potem robisz printscreen ( zrzut z ekranu ) ze swojego walla (  lub osi czasu )  i  wysyłasz nam ma adres facebook _  sport _  pl @  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 31

Chunks:
  FalsePositive nam [11,11] = walla (confidence=0.52)
  FalseNegative nam [22,30] = facebook _ sport _ pl @ gazeta . pl

2016-11-04 12:06:53,669 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 215 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108002.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108002.ini
(ChunkerEvaluator) Sentence #4631 from articles/00108002 from sent1

Text  : Lider II ligi Energetyk ROW Rybnik tylko zremisował w Głogowie
Tokens: 1____ 2_ 3___ 4________ 5__ 6_____ 7____ 8_________ 9 10______

Chunks:
  TruePositive nam [10,10] = Głogowie (confidence=1.00)
  FalsePositive nam [4,4] = Energetyk (confidence=1.00)
  FalsePositive nam [5,6] = ROW Rybnik (confidence=0.91)
  FalseNegative nam [4,6] = Energetyk ROW Rybnik

(ChunkerEvaluator) Sentence #4632 from articles/00108002 from sent2

Text  : Rywal rybniczan zajmuje odległe miejsce w tabeli , ale stawił liderowi silny opór .
Tokens: 1____ 2________ 3______ 4______ 5______ 6 7_____ 8 9__ 10____ 11______ 12___ 13__ 14

Chunks:
  FalseNegative nam [2,2] = rybniczan

(ChunkerEvaluator) Sentence #4633 from articles/00108002 from sent3

Text  : Chrobry Głogów - Energetyk ROW Rybnik 1 : 1 (  1  :  0  )
Tokens: 1______ 2_____ 3 4________ 5__ 6_____ 7 8 9 10 11 12 13 14

Chunks:
  TruePositive nam [1,2] = Chrobry Głogów (confidence=0.55)
  FalsePositive nam [4,4] = Energetyk (confidence=0.90)
  FalsePositive nam [5,6] = ROW Rybnik (confidence=0.81)
  FalseNegative nam [4,6] = Energetyk ROW Rybnik

2016-11-04 12:06:53,688 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 216 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108003.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108003.ini
(ChunkerEvaluator) Sentence #4635 from articles/00108003 from sent1

Text  : Ekstraklasa - ZAKSA - Jastrzębski Węgiel 3 : 0
Tokens: 1__________ 2 3____ 4 5__________ 6_____ 7 8 9

Chunks:
  TruePositive nam [3,3] = ZAKSA (confidence=0.94)
  TruePositive nam [5,6] = Jastrzębski Węgiel (confidence=0.98)
  FalseNegative nam [1,1] = Ekstraklasa

2016-11-04 12:06:53,743 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 217 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108006.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108006.ini
(ChunkerEvaluator) Sentence #4657 from articles/00108006 from sent6

Text  : Wynagrodzenie wynosi 7 euro za godzinę pracy .
Tokens: 1____________ 2_____ 3 4___ 5_ 6______ 7____ 8

Chunks:
  FalseNegative nam [4,4] = euro

2016-11-04 12:06:53,778 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 218 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108066.xml
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(ChunkerEvaluator) Sentence #4667 from articles/00108066 from sent3

Text  : W poniedziałek , w dniu św . Błażeja , księża błogosławili wiernych z  chorymi gardłami .
Tokens: 1 2___________ 3 4 5___ 6_ 7 8______ 9 10____ 11__________ 12______ 13 14_____ 15______ 16

Chunks:
  FalsePositive nam [8,8] = Błażeja (confidence=0.81)
  FalseNegative nam [6,8] = św . Błażeja

(ChunkerEvaluator) Sentence #4670 from articles/00108066 from sent6

Text  : Ks . Jarosław Kwiecień , rzecznik sosnowieckiej kurii : -  Św .  Błażej ,  żyjący w  III wieku po Chrystusie ,  cudem uratował od uduszenia dziecko ,  któremu utknęła w  gardle rybia ość .
Tokens: 1_ 2 3_______ 4_______ 5 6_______ 7____________ 8____ 9 10 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] = Jarosław Kwiecień (confidence=1.00)
  TruePositive nam [20,20] = Chrystusie (confidence=1.00)
  FalsePositive nam [13,13] = Błażej (confidence=0.86)
  FalseNegative nam [11,13] = Św . Błażej

2016-11-04 12:06:53,810 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 219 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108067.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108067.ini
(ChunkerEvaluator) Sentence #4680 from articles/00108067 from sent5

Text  : Jutro w dzień w Poznaniu ma być minus 6 stopni Celsjusza ,  a  w  sobotę -  nawet minus 8  !
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] = Poznaniu (confidence=1.00)
  FalseNegative nam [11,11] = Celsjusza

(ChunkerEvaluator) Sentence #4681 from articles/00108067 from sent6

Text  : Mróz złagodnieje w Wigilię ( do minus 4 stopni C  )  ,  a  w  święta temperatura za dnia powinna podnieść się ponad kreskę zera na termometrze .
Tokens: 1___ 2__________ 3 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] = Wigilię (confidence=0.93)
  FalseNegative nam [10,10] = C

(ChunkerEvaluator) Sentence #4684 from articles/00108067 from sent9

Text  : Imieniny obchodzą m . in . Bogumił , Bogumiła ,  Dagmara ,  Dominik ,  Eugeniusz ,  Krystian ,  Wincenty i  Zenon .
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] = Bogumił (confidence=1.00)
  TruePositive nam [9,9] = Bogumiła (confidence=1.00)
  TruePositive nam [11,11] = Dagmara (confidence=1.00)
  TruePositive nam [13,13] = Dominik (confidence=1.00)
  TruePositive nam [15,15] = Eugeniusz (confidence=1.00)
  TruePositive nam [17,17] = Krystian (confidence=1.00)
  TruePositive nam [21,21] = Zenon (confidence=1.00)
  FalseNegative nam [19,19] = Wincenty

2016-11-04 12:06:53,854 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 220 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108068.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108068.ini
(ChunkerEvaluator) Sentence #4689 from articles/00108068 from sent2

Text  : Nikkei 225 , indeks giełdy tokijskiej , zakończył wtorkową sesję o  0  .  2  pkt .  niżej (  -  0  .  0024 %  )  osiągając poziom 8500 .  6  punktów .
Tokens: 1_____ 2__ 3 4_____ 5_____ 6_________ 7 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 [1,2] = Nikkei 225 (confidence=0.69)
  FalseNegative nam [1,1] = Nikkei

(ChunkerEvaluator) Sentence #4690 from articles/00108068 from sent3

Text  : Indeks Hangseng spadł o 6 . 3 pkt .
Tokens: 1_____ 2_______ 3____ 4 5 6 7 8__ 9

Chunks:
  FalsePositive nam [1,2] = Indeks Hangseng (confidence=0.61)
  FalseNegative nam [2,2] = Hangseng

2016-11-04 12:06:53,873 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 221 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108069.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108069.ini
(ChunkerEvaluator) Sentence #4697 from articles/00108069 from sent5

Text  : - Decyzją zarządu PZLA , 83 . mistrzostwa Polski mężczyzn odbędą się 21 kwietnia 2013 roku podczas Orlen Warsaw Marathon .
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] = PZLA (confidence=0.99)
  TruePositive nam [18,20] = Orlen Warsaw Marathon (confidence=1.00)
  FalsePositive nam [9,9] = Polski (confidence=1.00)
  FalseNegative nam [8,9] = mistrzostwa Polski

(ChunkerEvaluator) Sentence #4700 from articles/00108069 from sent8

Text  : Na przykład w Seulu będzie ich blisko sto , ale tylko dwa -  w  marcu i  listopadzie -  są wizytówką stolicy Korei Południowej ,  przy czym wiosenny ma znacznie większy budżet (  w  tym roku zwycięzca za wynik 2  :  05 .  37 otrzymał aż 180 tys .  dolarów )  ,  aniżeli jesienny (  70 tys .  za 2  :  05 .  50 )  .
Tokens: 1_ 2_______ 3 4____ 5_____ 6__ 7_____ 8__ 9 10_ 11___ 12_ 13 14 15___ 16 17_________ 18 19 20_______ 21_____ 22___ 23_________ 24 25__ 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 [4,4] = Seulu (confidence=1.00)
  TruePositive nam [22,23] = Korei Południowej (confidence=1.00)
  FalseNegative nam [49,49] = dolarów

(ChunkerEvaluator) Sentence #4703 from articles/00108069 from sent11

Text  : Berlin najbardziej jest znany tylko z jednego , wrześniowego maratonu (  40 .  edycja 29 września 2013 )  ,  a  Hamburg z  kwietniowego (  28 .  edycja 21 kwietnia 2013 )  .
Tokens: 1_____ 2__________ 3___ 4____ 5____ 6 7______ 8 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 [21,21] = Hamburg (confidence=0.99)
  FalseNegative nam [1,1] = Berlin

(ChunkerEvaluator) Sentence #4705 from articles/00108069 from sent13

Text  : Podobnie jest z Nowym Jorkiem , Bostonem , Londynem ,  Paryżem ,  itd ,  itd -  powiedział PAP Bartkiewicz .
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] = Nowym Jorkiem (confidence=1.00)
  TruePositive nam [7,7] = Bostonem (confidence=1.00)
  TruePositive nam [9,9] = Londynem (confidence=1.00)
  TruePositive nam [11,11] = Paryżem (confidence=0.99)
  FalsePositive nam [18,19] = PAP Bartkiewicz (confidence=1.00)
  FalseNegative nam [18,18] = PAP
  FalseNegative nam [19,19] = Bartkiewicz

(ChunkerEvaluator) Sentence #4706 from articles/00108069 from sent14

Text  : Redaktor naczelny serwisu internetowego maratonypolskie.pl Michał Walczewski dodał , że organizacja na tak wielką skalę drugiego w  Warszawie biegu na dystansie 42 km 195 m  jest z  całą pewnością znaczącym wydarzeniem ,  biorąc pod uwagę budżet .
Tokens: 1_______ 2_______ 3______ 4____________ 5_________________ 6_____ 7_________ 8____ 9 10 11_________ 12 13_ 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 [6,7] = Michał Walczewski (confidence=1.00)
  TruePositive nam [18,18] = Warszawie (confidence=1.00)
  FalseNegative nam [5,5] = maratonypolskie.pl

2016-11-04 12:06:54,139 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 222 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108071.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108071.ini
(ChunkerEvaluator) Sentence #4720 from articles/00108071 from sent2

Text  : Niemiecki pistolet Walther PPK , używany przez agenta 007 Jamesa Bonda i  niemiecki karabin maszynowy MG 15 ,  który &  quot ;  zagrał &  quot ;  w  &  quot ;  Gwiezdnych wojnach &  quot ;  to niektóre z  rodzajów broni używanej w  Powstaniu Warszawskim .
Tokens: 1________ 2_______ 3______ 4__ 5 6______ 7____ 8_____ 9__ 10____ 11___ 12 13_______ 14_____ 15_______ 16 17 18 19___ 20 21__ 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 [3,4] = Walther PPK (confidence=1.00)
  TruePositive nam [10,11] = Jamesa Bonda (confidence=0.97)
  TruePositive nam [16,17] = MG 15 (confidence=0.99)
  TruePositive nam [43,44] = Powstaniu Warszawskim (confidence=1.00)
  FalseNegative nam [8,9] = agenta 007
  FalseNegative nam [31,32] = Gwiezdnych wojnach

(ChunkerEvaluator) Sentence #4721 from articles/00108071 from sent3

Text  : Ich opisy znalazły się w & quot ; Leksykonie militariów Powstania Warszawskiego &  quot ;  .
Tokens: 1__ 2____ 3_______ 4__ 5 6 7___ 8 9_________ 10________ 11_______ 12___________ 13 14__ 15 16

Chunks:
  FalsePositive nam [9,9] = Leksykonie (confidence=0.78)
  FalsePositive nam [11,12] = Powstania Warszawskiego (confidence=0.92)
  FalseNegative nam [9,12] = Leksykonie militariów Powstania Warszawskiego

(ChunkerEvaluator) Sentence #4727 from articles/00108071 from sent9

Text  : Starali śmy przy nim umieścić także powstałą na podstawie naszego Archiwum Historii Mówionej ,  relację powstańczą osoby ,  która miała styczność z  tą bronią lub relację niemiecką potwierdzającą ,  że dana broń była używana w  Powstaniu .
Tokens: 1______ 2__ 3___ 4__ 5_______ 6____ 7_______ 8_ 9________ 10_____ 11______ 12______ 13______ 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] = Powstaniu (confidence=0.99)
  FalsePositive nam [11,13] = Archiwum Historii Mówionej (confidence=1.00)
  FalseNegative nam [11,14] = Archiwum Historii Mówionej ,

(ChunkerEvaluator) Sentence #4731 from articles/00108071 from sent13

Text  : Duży nacisk położyli śmy też na grafikę , a w  publikacji znalazły się zarówno współczesne zdjęcia obiektów muzealnych ,  jak i  fotografie archiwalne z  okresu Powstania lub II wojny "  -  powiedział Mazur .
Tokens: 1___ 2_____ 3_______ 4__ 5__ 6_ 7______ 8 9 10 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] = Powstania (confidence=1.00)
  TruePositive nam [33,33] = Mazur (confidence=1.00)
  FalseNegative nam [28,29] = II wojny

(ChunkerEvaluator) Sentence #4737 from articles/00108071 from sent19

Text  : Zaprezentowany w wydawnictwie polski pistolet maszynowy " Błyskawica " był podczas II wojny światowej jedynym opracowanym i  seryjnie produkowanym przez ruch oporu rodzajem broni w  okupowanej 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

Chunks:
  TruePositive nam [8,8] = Błyskawica (confidence=0.81)
  TruePositive nam [27,27] = Europie (confidence=1.00)
  FalseNegative nam [12,14] = II wojny światowej

(ChunkerEvaluator) Sentence #4739 from articles/00108071 from sent21

Text  : Wytwarzane przez powstańców butelki zapalające Niemcy nazywali zaś " koktajlami Montera "  .
Tokens: 1_________ 2____ 3_________ 4______ 5_________ 6_____ 7_______ 8__ 9 10________ 11_____ 12 13

Chunks:
  TruePositive nam [6,6] = Niemcy (confidence=1.00)
  FalsePositive nam [11,11] = Montera (confidence=0.79)
  FalseNegative nam [10,11] = koktajlami Montera

(ChunkerEvaluator) Sentence #4740 from articles/00108071 from sent22

Text  : Nazwa ta nawiązywała do pseudonimu dowódcy Powstania Warszawskiego gen .  Antoniego Chruściela "  Montera "  i  powszechnie używanego określenia na ten rodzaj broni -  "  koktajl Mołotowa "  .
Tokens: 1____ 2_ 3__________ 4_ 5_________ 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 [7,8] = Powstania Warszawskiego (confidence=1.00)
  TruePositive nam [11,12] = Antoniego Chruściela (confidence=0.79)
  TruePositive nam [14,14] = Montera (confidence=0.94)
  FalsePositive nam [27,27] = Mołotowa (confidence=0.95)
  FalseNegative nam [26,27] = koktajl Mołotowa

2016-11-04 12:06:54,298 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 223 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108076.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108076.ini
2016-11-04 12:06:54,327 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 224 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108078.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108078.ini
(ChunkerEvaluator) Sentence #4755 from articles/00108078 from sent1

Text  : Bank BPS Fakro Muszyna ustalił datę pierwszej bitwy polsko -  polskiej
Tokens: 1___ 2__ 3____ 4______ 5______ 6___ 7________ 8____ 9_____ 10 11______

Chunks:
  FalsePositive nam [2,4] = BPS Fakro Muszyna (confidence=0.73)
  FalseNegative nam [1,4] = Bank BPS Fakro Muszyna

(ChunkerEvaluator) Sentence #4756 from articles/00108078 from sent2

Text  : Bank BPS Fakro Muszyna pierwszy mecz z Aluprofem Bielsko -  Biała w  Pucharze CEV zagra 16 stycznia .
Tokens: 1___ 2__ 3____ 4______ 5_______ 6___ 7 8________ 9______ 10 11___ 12 13______ 14_ 15___ 16 17______ 18

Chunks:
  TruePositive nam [8,11] = Aluprofem Bielsko - Biała (confidence=1.00)
  FalsePositive nam [2,4] = BPS Fakro Muszyna (confidence=0.74)
  FalsePositive nam [13,13] = Pucharze (confidence=1.00)
  FalsePositive nam [14,14] = CEV (confidence=0.72)
  FalseNegative nam [1,4] = Bank BPS Fakro Muszyna
  FalseNegative nam [13,14] = Pucharze CEV

2016-11-04 12:06:54,361 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 225 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108080.xml
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(ChunkerEvaluator) Sentence #4763 from articles/00108080 from sent1

Text  : Droższy powrót z sylwestra .
Tokens: 1______ 2_____ 3 4________ 5

Chunks:
  FalseNegative nam [4,4] = sylwestra

(ChunkerEvaluator) Sentence #4766 from articles/00108080 from sent4

Text  : Za jednorazowy przejazd - 20 - i 40 - minutowy -  będziemy płacić o  20 groszy drożej niż obecnie .
Tokens: 1_ 2__________ 3_______ 4 5_ 6 7 8_ 9 10______ 11 12______ 13____ 14 15 16____ 17____ 18_ 19_____ 20

Chunks:
  FalseNegative nam [16,16] = groszy

(ChunkerEvaluator) Sentence #4788 from articles/00108080 from sent26

Text  : Jeśli chcemy pierwszego dnia nowego roku korzystać z komunikacji miejskiej lub wracać nią z  sylwestra ,  powinni śmy w  nowe bilety zaopatrzyć się już 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

Chunks:
  FalseNegative nam [15,15] = sylwestra

(ChunkerEvaluator) Sentence #4802 from articles/00108080 from sent40

Text  : Można to zrobić , korzystając z jednej z pięciu działających aplikacji (  CallPay ,  moBilet ,  mPay ,  SkyCash ,  Unibank )  .
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] = CallPay (confidence=0.99)
  TruePositive nam [15,15] = moBilet (confidence=0.54)
  TruePositive nam [19,19] = SkyCash (confidence=0.99)
  TruePositive nam [21,21] = Unibank (confidence=0.97)
  FalseNegative nam [17,17] = mPay

(ChunkerEvaluator) Sentence #4803 from articles/00108080 from sent41

Text  : Szczegóły dotyczące nowej taryfy można znaleźć na www . mpk .  lodz .  pl .
Tokens: 1________ 2________ 3____ 4_____ 5____ 6______ 7_ 8__ 9 10_ 11 12__ 13 14 15

Chunks:
  FalseNegative nam [8,14] = www . mpk . lodz . pl

(ChunkerEvaluator) Sentence #4805 from articles/00108080 from sent43

Text  : Od 1 stycznia 2014 roku bilety zdrożeją o kolejne 20 groszy .
Tokens: 1_ 2 3_______ 4___ 5___ 6_____ 7_______ 8 9______ 10 11____ 12

Chunks:
  FalseNegative nam [11,11] = groszy

2016-11-04 12:06:54,486 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 226 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108083.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108083.ini
(ChunkerEvaluator) Sentence #4807 from articles/00108083 from sent1

Text  : Podlaskie : przyszłoroczne kontraktowanie na finiszu
Tokens: 1________ 2 3_____________ 4_____________ 5_ 6______

Chunks:
  FalseNegative nam [1,1] = Podlaskie

(ChunkerEvaluator) Sentence #4811 from articles/00108083 from sent5

Text  : Podlaski NFZ ma już uzgodnione warunki finansowe na przyszły rok ze wszystkimi podmiotami prowadzącymi poradnie specjalistyczne i  ze szpitalami .
Tokens: 1_______ 2__ 3_ 4__ 5_________ 6______ 7________ 8_ 9_______ 10_ 11 12________ 13________ 14__________ 15______ 16_____________ 17 18 19________ 20

Chunks:
  FalsePositive nam [1,2] = Podlaski NFZ (confidence=0.77)
  FalseNegative nam [1,1] = Podlaski
  FalseNegative nam [2,2] = NFZ

(ChunkerEvaluator) Sentence #4812 from articles/00108083 from sent6

Text  : - Jedynym wyjątkiem jest Izba Przyjęć w SP ZOZ Augustowie -  w  tym przypadku świadczeniodawca nie zgodził się z  zasadą obliczania stawki ryczałtu dobowego -  powiedziała Gazecie Wyborczej Małgorzata Jopich z  Podlaskiego Narodowego Funduszu Zdrowia .
Tokens: 1 2______ 3________ 4___ 5___ 6______ 7 8_ 9__ 10________ 11 12 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 [27,28] = Gazecie Wyborczej (confidence=1.00)
  TruePositive nam [29,30] = Małgorzata Jopich (confidence=0.84)
  FalsePositive nam [5,6] = Izba Przyjęć (confidence=1.00)
  FalsePositive nam [8,8] = SP (confidence=0.99)
  FalsePositive nam [9,10] = ZOZ Augustowie (confidence=0.83)
  FalsePositive nam [32,35] = Podlaskiego Narodowego Funduszu Zdrowia (confidence=0.98)
  FalseNegative nam [8,10] = SP ZOZ Augustowie
  FalseNegative nam [32,32] = Podlaskiego
  FalseNegative nam [33,35] = Narodowego Funduszu Zdrowia

(ChunkerEvaluator) Sentence #4816 from articles/00108083 from sent10

Text  : Dotyczą one poradni lekarzy rehabilitantów w Białymstoku , a także fizjoterapii ambulatoryjnej w  powiatach grajewskim i  hajnowskim oraz rehabilitacji domowej w  Białymstoku i  sąsiednich powiatach .
Tokens: 1______ 2__ 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] = Białymstoku (confidence=1.00)
  TruePositive nam [15,15] = grajewskim (confidence=0.85)
  TruePositive nam [22,22] = Białymstoku (confidence=1.00)
  FalseNegative nam [17,17] = hajnowskim

2016-11-04 12:06:54,558 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 227 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108087.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108087.ini
(ChunkerEvaluator) Sentence #4832 from articles/00108087 from sent10

Text  : Zmianę , o której Państwo piszą , spowodowała przyjęta przez Sejm RP Ustawa o  utrzymaniu czystości i  porządku w  gminach .
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 [11,13] = Sejm RP Ustawa (confidence=1.00)
  FalseNegative nam [11,12] = Sejm RP

(ChunkerEvaluator) Sentence #4834 from articles/00108087 from sent12

Text  : Niestety , uchwalone przez Sejm rozwiązania ustawowe są nieadekwatne do sytuacji w  gminach ,  bardzo rygorystyczne oraz narzucające wybór tylko jednej metody naliczania opłaty ,  a  metody „  na sztywno "  zostały opisane 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

Chunks:
  TruePositive nam [5,5] = Sejm (confidence=1.00)
  FalsePositive nam [35,35] = Ustawie (confidence=1.00)

(ChunkerEvaluator) Sentence #4835 from articles/00108087 from sent13

Text  : Dlatego też wystąpił em do Ministerstwa Środowiska o zmianę zapisu Ustawy i  -  jak wynika z  otrzymanej korespondencji -  Ustawa będzie zmieniona 4  stycznia 2013 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 [6,7] = Ministerstwa Środowiska (confidence=1.00)
  FalsePositive nam [11,11] = Ustawy (confidence=1.00)
  FalsePositive nam [20,20] = Ustawa (confidence=0.54)

(ChunkerEvaluator) Sentence #4842 from articles/00108087 from sent20

Text  : W tej sprawie zwrócił em się do Urzędu Ochrony Konkurencji i  Konsumentów z  wnioskiem o  wszczęcie postępowania wyjaśniającego .
Tokens: 1 2__ 3______ 4______ 5_ 6__ 7_ 8_____ 9______ 10_________ 11 12_________ 13 14_______ 15 16_______ 17__________ 18____________ 19

Chunks:
  FalsePositive nam [8,10] = Urzędu Ochrony Konkurencji (confidence=1.00)
  FalsePositive nam [12,12] = Konsumentów (confidence=0.70)
  FalseNegative nam [8,12] = Urzędu Ochrony Konkurencji i Konsumentów

(ChunkerEvaluator) Sentence #4844 from articles/00108087 from sent22

Text  : Jednocześnie bardzo Państwu dziękuję za podjętą inicjatywę .
Tokens: 1___________ 2_____ 3______ 4_______ 5_ 6______ 7_________ 8

Chunks:
  FalsePositive nam [3,3] = Państwu (confidence=0.86)

2016-11-04 12:06:54,665 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 228 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108089.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108089.ini
(ChunkerEvaluator) Sentence #4845 from articles/00108089 from sent1

Text  : TV : Depardieu cieszy się z obywatelstwa , nazywa Rosję demokracją
Tokens: 1_ 2 3________ 4_____ 5__ 6 7___________ 8 9_____ 10___ 11________

Chunks:
  TruePositive nam [3,3] = Depardieu (confidence=0.95)
  TruePositive nam [10,10] = Rosję (confidence=1.00)
  FalseNegative nam [1,1] = TV

(ChunkerEvaluator) Sentence #4850 from articles/00108089 from sent6

Text  : " Tak , zwrócił em się o paszport i cieszę się ,  że dostał em zgodę "  -  głosi tekst opublikowany po rosyjsku i  francusku ,  zatytułowany :  "  Apel do dziennikarzy rosyjskich "  .
Tokens: 1 2__ 3 4______ 5_ 6__ 7 8_______ 9 10____ 11_ 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 [30,33] = Apel do dziennikarzy rosyjskich

(ChunkerEvaluator) Sentence #4851 from articles/00108089 from sent7

Text  : Depardieu wyjaśnia , że " uwielbia Rosję , jej pisarzy ,  historię oraz ludzi rosyjskich "  .
Tokens: 1________ 2_______ 3 4_ 5 6_______ 7____ 8 9__ 10_____ 11 12______ 13__ 14___ 15________ 16 17

Chunks:
  TruePositive nam [7,7] = Rosję (confidence=1.00)
  FalseNegative nam [1,1] = Depardieu

(ChunkerEvaluator) Sentence #4858 from articles/00108089 from sent14

Text  : W liście opublikowanym przez Kanał Pierwszy Depardieu wyznaje też ,  że Moskwa jest dla niego "  zbyt wielką metropolią "  ,  i  że woli wieś ,  a  w  Rosji "  zna cudowne 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__ 26 27 28 29___ 30 31_ 32_____ 33_____ 34 35

Chunks:
  TruePositive nam [12,12] = Moskwa (confidence=1.00)
  TruePositive nam [29,29] = Rosji (confidence=1.00)
  FalsePositive nam [5,7] = Kanał Pierwszy Depardieu (confidence=1.00)
  FalseNegative nam [5,6] = Kanał Pierwszy
  FalseNegative nam [7,7] = Depardieu

(ChunkerEvaluator) Sentence #4860 from articles/00108089 from sent16

Text  : List kończy się słowami " Sława Rossii ! " (  chwała Rosji !  )  i  "  Spasibo !  "  (  dziękuję )  .
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] = Rosji (confidence=1.00)
  FalsePositive nam [6,7] = Sława Rossii (confidence=0.91)
  FalseNegative nam [7,7] = Rossii

(ChunkerEvaluator) Sentence #4865 from articles/00108089 from sent21

Text  : Depardieu często bywa w Rosji na festiwalach filmowych , m  .  in .  jako członek jury festiwalu w  Moskwie ,  i  na wielu innych imprezach z  udziałem celebrytów .
Tokens: 1________ 2_____ 3___ 4 5____ 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] = Rosji (confidence=1.00)
  TruePositive nam [19,19] = Moskwie (confidence=1.00)
  FalseNegative nam [1,1] = Depardieu

(ChunkerEvaluator) Sentence #4873 from articles/00108089 from sent29

Text  : Kilka tygodni temu Depardieu przeprowadził się do Belgii , aby uchronić się przed wysokimi podatkami ,  i  jest od niedawna zameldowany w  wiosce Nechin tuż przy granicy z  Francją .
Tokens: 1____ 2______ 3___ 4________ 5____________ 6__ 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] = Depardieu (confidence=1.00)
  TruePositive nam [8,8] = Belgii (confidence=1.00)
  TruePositive nam [29,29] = Francją (confidence=1.00)
  FalsePositive nam [24,24] = Nechin (confidence=0.99)

2016-11-04 12:06:54,834 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 229 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108090.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108090.ini
(ChunkerEvaluator) Sentence #4878 from articles/00108090 from sent1

Text  : Ford Germaz Ekstraklasa .
Tokens: 1___ 2_____ 3__________ 4

Chunks:
  FalsePositive nam [1,3] = Ford Germaz Ekstraklasa (confidence=0.96)
  FalseNegative nam [1,2] = Ford Germaz

(ChunkerEvaluator) Sentence #4879 from articles/00108090 from sent2

Text  : Lider w Pabianicach , Widzew z Liderem
Tokens: 1____ 2 3__________ 4 5_____ 6 7______

Chunks:
  TruePositive nam [3,3] = Pabianicach (confidence=1.00)
  TruePositive nam [5,5] = Widzew (confidence=0.94)
  TruePositive nam [7,7] = Liderem (confidence=0.98)
  FalseNegative nam [1,1] = Lider

(ChunkerEvaluator) Sentence #4882 from articles/00108090 from sent5

Text  : Do tej pory rywalki przegrały zaledwie jedno spotkanie , a  pabianiczanki -  wszystkie 12 .
Tokens: 1_ 2__ 3___ 4______ 5________ 6_______ 7____ 8________ 9 10 11___________ 12 13_______ 14 15

Chunks:
  FalseNegative nam [11,11] = pabianiczanki

(ChunkerEvaluator) Sentence #4884 from articles/00108090 from sent7

Text  : Tym bardziej że pabianiczanki nadal muszą grać bez swojej najlepszej zawodniczki Moniki Jasnowskiej ,  która przechodzi rehabilitację po operacji .
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] = Moniki Jasnowskiej (confidence=1.00)
  FalseNegative nam [4,4] = pabianiczanki

(ChunkerEvaluator) Sentence #4885 from articles/00108090 from sent8

Text  : Widzewianki czeka z kolei spotkanie w Pruszkowie z Liderem ,  który wygrał siedem z  13 spotkań .
Tokens: 1__________ 2____ 3 4____ 5________ 6 7_________ 8 9______ 10 11___ 12____ 13____ 14 15 16_____ 17

Chunks:
  TruePositive nam [7,7] = Pruszkowie (confidence=1.00)
  TruePositive nam [9,9] = Liderem (confidence=0.98)
  FalseNegative nam [1,1] = Widzewianki

2016-11-04 12:06:54,887 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 230 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108091.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108091.ini
(ChunkerEvaluator) Sentence #4918 from articles/00108091 from sent28

Text  : Nie rozumiem , dlaczego to miasto - a właściwie jego decydenci -  tak uparcie chcą przekonać mnie do powrotu do Trójmiasta ,  gdzie komfort życia jest nieporównanie wyższy .
Tokens: 1__ 2_______ 3 4_______ 5_ 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 [21,21] = Trójmiasta (confidence=1.00)
  FalseNegative nam [21,22] = Trójmiasta ,

2016-11-04 12:06:55,023 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 231 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108092.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108092.ini
(ChunkerEvaluator) Sentence #4926 from articles/00108092 from sent5

Text  : Pleśniak
Tokens: 1_______

Chunks:
  FalsePositive nam [1,1] = Pleśniak (confidence=0.86)

(ChunkerEvaluator) Sentence #4935 from articles/00108092 from sent14

Text  : Piec około pół godziny w temp . ok . 180 st .  C  .  ,  aż ciasto będzie chrupiące ,  a  beza z  piany nie przypalona .
Tokens: 1___ 2____ 3__ 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 [13,13] = C

2016-11-04 12:06:55,070 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 232 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108093.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108093.ini
(ChunkerEvaluator) Sentence #4938 from articles/00108093 from sent1

Text  : Marszałek lobbuje za zachodnią obwodnicą Szczecina .
Tokens: 1________ 2______ 3_ 4________ 5________ 6________ 7

Chunks:
  TruePositive nam [6,6] = Szczecina (confidence=0.99)
  FalsePositive nam [1,1] = Marszałek (confidence=0.66)

(ChunkerEvaluator) Sentence #4947 from articles/00108093 from sent10

Text  : Zlecona przez konsorcjum gmin ze Szczecińskiego Obszaru Metropolitarnego „ Wstępna analiza etapowania budowy Zachodniego Drogowego Obejścia Miasta Szczecina ”  zakłada ,  że najpierw powstała by jedna jezdnia oraz tunel pod Odrą na wysokości Polic i  Świętej .
Tokens: 1______ 2____ 3_________ 4___ 5_ 6_____________ 7______ 8_______________ 9 10_____ 11_____ 12________ 13____ 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 [6,8] = Szczecińskiego Obszaru Metropolitarnego (confidence=1.00)
  TruePositive nam [31,31] = Odrą (confidence=0.99)
  TruePositive nam [34,34] = Polic (confidence=0.99)
  TruePositive nam [36,36] = Świętej (confidence=0.98)
  FalsePositive nam [14,18] = Zachodniego Drogowego Obejścia Miasta Szczecina (confidence=0.98)
  FalseNegative nam [18,18] = Szczecina

(ChunkerEvaluator) Sentence #4963 from articles/00108093 from sent26

Text  : Kilka lat temu do sieci dróg krajowych wpisano tunelowe połączenie wysp Uznam i  Wolin (  droga nr 93 )  .
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] = Uznam (confidence=1.00)
  TruePositive nam [14,14] = Wolin (confidence=0.56)
  FalseNegative nam [18,18] = 93

2016-11-04 12:06:55,167 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 233 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108096.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108096.ini
(ChunkerEvaluator) Sentence #4971 from articles/00108096 from sent1

Text  : „ Eksperyment Lepper & quot ; wymknął się spod kontroli ”  .
Tokens: 1 2__________ 3_____ 4 5___ 6 7______ 8__ 9___ 10______ 11 12

Chunks:
  FalsePositive nam [2,3] = Eksperyment Lepper (confidence=0.97)
  FalseNegative nam [3,3] = Lepper

(ChunkerEvaluator) Sentence #4980 from articles/00108096 from sent10

Text  : Książka Kąckiego , dziennikarza „ Gazety Wyborczej ” , to reporterski rajd po politycznej historii narodzin i  upadku Andrzeja Leppera .
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] = Gazety Wyborczej (confidence=1.00)
  TruePositive nam [19,20] = Andrzeja Leppera (confidence=1.00)
  FalsePositive nam [1,2] = Książka Kąckiego (confidence=0.94)
  FalseNegative nam [2,2] = Kąckiego

(ChunkerEvaluator) Sentence #4983 from articles/00108096 from sent13

Text  : „ Kandydat Samoobrony Sławomir Jastrzębski z Kalisza reklamował się hasłem :  „  Kalisz zasługuje na rzetelnych radnych ”  .
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] = Samoobrony (confidence=0.65)
  TruePositive nam [4,5] = Sławomir Jastrzębski (confidence=0.95)
  TruePositive nam [7,7] = Kalisza (confidence=0.99)
  FalsePositive nam [13,13] = Kalisz (confidence=0.94)
  FalseNegative nam [13,17] = Kalisz zasługuje na rzetelnych radnych

(ChunkerEvaluator) Sentence #5006 from articles/00108096 from sent36

Text  : „ Wódka była w Samoobronie częstym motywem wyborczym .
Tokens: 1 2____ 3___ 4 5__________ 6______ 7______ 8________ 9

Chunks:
  TruePositive nam [5,5] = Samoobronie (confidence=1.00)
  FalsePositive nam [2,2] = Wódka (confidence=0.75)

(ChunkerEvaluator) Sentence #5007 from articles/00108096 from sent37

Text  : We Włocławku Grzegorz Biernacki , czterdziestopięcioletni kandydat Samoobrony prowadzący gospodarstwo rolne ,  dostał się co prawda do sejmiku wojewódzkiego ,  ale zaraz po tym otrzymał grzeczny list :  Nadal nie widzimy z  Pana strony chęci rozliczenia się za Pańską kampanię wyborczą ,  która została przez nas zorganizowana .
Tokens: 1_ 2________ 3_______ 4________ 5 6______________________ 7_______ 8_________ 9_________ 10__________ 11___ 12 13____ 14_ 15 16____ 17 18_____ 19___________ 20 21_ 22___ 23 24_ 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 [2,2] = Włocławku (confidence=0.96)
  TruePositive nam [3,4] = Grzegorz Biernacki (confidence=0.79)
  TruePositive nam [8,8] = Samoobrony (confidence=1.00)
  FalsePositive nam [39,39] = Pańską (confidence=0.75)

(ChunkerEvaluator) Sentence #5010 from articles/00108096 from sent40

Text  : Należy jeszcze doliczyć koszt dowiezienia każdego głosującego do punktu wyborczego ,  co wyceniamy na około jedną złotówkę ”  .
Tokens: 1_____ 2______ 3_______ 4____ 5__________ 6______ 7__________ 8_ 9_____ 10________ 11 12 13_______ 14 15___ 16___ 17______ 18 19

Chunks:
  FalseNegative nam [17,17] = złotówkę

(ChunkerEvaluator) Sentence #5014 from articles/00108096 from sent44

Text  : Kącki pokazuje również nieznane dotychczas kulisy formowania się Leppera jako produktu marketingu politycznego w  zadziwiająco szczerej rozmowie z  Piotrem Tymochowiczem ,  nadwornym doradcą Leppera .
Tokens: 1____ 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] = Leppera (confidence=1.00)
  TruePositive nam [19,20] = Piotrem Tymochowiczem (confidence=1.00)
  TruePositive nam [24,24] = Leppera (confidence=1.00)
  FalsePositive nam [1,1] = Kącki (confidence=0.98)

(ChunkerEvaluator) Sentence #5063 from articles/00108096 from sent93

Text  : Lepper podczas blokady medialnej otrzymuje zaproszenie od Saddama Husajna ,  irackiego przywódcy .
Tokens: 1_____ 2______ 3______ 4________ 5________ 6__________ 7_ 8______ 9______ 10 11_______ 12_______ 13

Chunks:
  TruePositive nam [8,9] = Saddama Husajna (confidence=1.00)
  FalseNegative nam [1,1] = Lepper

(ChunkerEvaluator) Sentence #5089 from articles/00108096 from sent119

Text  : Tomasz Lis pisze w recenzji : „ Książka Kąckiego to opowieść o  Ikarze w  gumofilcach ,  który z  impetem wszedł na salony ,  a  później został z  nich wyrzucony ,  który budził fascynację i  odrazę ,  ale zawsze zainteresowanie ”  .
Tokens: 1_____ 2__ 3____ 4 5_______ 6 7 8______ 9_______ 10 11______ 12 13____ 14 15_________ 16 17___ 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] = Tomasz Lis (confidence=0.99)
  TruePositive nam [13,13] = Ikarze (confidence=1.00)
  FalsePositive nam [8,9] = Książka Kąckiego (confidence=1.00)
  FalseNegative nam [9,9] = Kąckiego

2016-11-04 12:06:55,545 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 234 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108099.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108099.ini
(ChunkerEvaluator) Sentence #5096 from articles/00108099 from sent3

Text  : Waszyngton , PAP - Większość Amerykanów popiera interwencję wojskową w  Iraku nawet bez mandatu ONZ ,  tylko pod warunkiem ,  że USA będą wspomagane przez niektórych kluczowych sojuszników -  wynika z  najnowszego sondażu telewizji ABC News i  "  Washington Post "
Tokens: 1_________ 2 3__ 4 5________ 6_________ 7______ 8__________ 9_______ 10 11___ 12___ 13_ 14_____ 15_ 16 17___ 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] = Waszyngton (confidence=0.65)
  TruePositive nam [3,3] = PAP (confidence=1.00)
  TruePositive nam [11,11] = Iraku (confidence=1.00)
  TruePositive nam [15,15] = ONZ (confidence=0.99)
  TruePositive nam [22,22] = USA (confidence=1.00)
  TruePositive nam [35,36] = ABC News (confidence=1.00)
  TruePositive nam [39,40] = Washington Post (confidence=1.00)
  FalsePositive nam [5,6] = Większość Amerykanów (confidence=1.00)
  FalseNegative nam [6,6] = Amerykanów

2016-11-04 12:06:55,591 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 235 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108103.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108103.ini
(ChunkerEvaluator) Sentence #5104 from articles/00108103 from sent2

Text  : Facebook postanowił ułatwić swym użytkownikom , których jest już ponad miliard ,  przeszukiwanie zgromadzonych na tym portalu społecznościowym ogromnych ilości 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 [1,1] = Facebook

2016-11-04 12:06:55,631 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 236 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108104.xml
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(ChunkerEvaluator) Sentence #5115 from articles/00108104 from sent4

Text  : PYSKOWICE .
Tokens: 1________ 2

Chunks:
  FalseNegative nam [1,1] = PYSKOWICE

2016-11-04 12:06:55,720 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 237 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108106.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108106.ini
(ChunkerEvaluator) Sentence #5140 from articles/00108106 from sent4

Text  : Mucha poinformowała , że w ciągu ostatnich pięciu lat ministerstwo przeznaczyło na dofinansowanie inwestycji sportowych w  woj .  śląskim 326 ,  5  mln 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

Chunks:
  TruePositive nam [1,1] = Mucha (confidence=0.80)
  TruePositive nam [24,24] = zł (confidence=1.00)
  FalseNegative nam [10,10] = ministerstwo
  FalseNegative nam [19,19] = śląskim

(ChunkerEvaluator) Sentence #5142 from articles/00108106 from sent6

Text  : 46 mln zł wyniosła dotacja na przebudowę skoczni narciarskiej w  Wiśle Malince ,  gdzie w  styczniu po raz pierwszy odbył się konkurs Pucharu 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

Chunks:
  TruePositive nam [3,3] = zł (confidence=1.00)
  TruePositive nam [23,24] = Pucharu Świata (confidence=1.00)
  FalsePositive nam [11,12] = Wiśle Malince (confidence=1.00)
  FalseNegative nam [11,11] = Wiśle
  FalseNegative nam [12,12] = Malince

(ChunkerEvaluator) Sentence #5144 from articles/00108106 from sent8

Text  : Resort wsparł też m . in . poprawę infrastruktury biatlonowej na Kubalonce (  6  mln zł )  .
Tokens: 1_____ 2_____ 3__ 4 5 6_ 7 8______ 9_____________ 10_________ 11 12_______ 13 14 15_ 16 17 18

Chunks:
  TruePositive nam [16,16] = zł (confidence=1.00)
  FalsePositive nam [12,12] = Kubalonce (confidence=1.00)

(ChunkerEvaluator) Sentence #5145 from articles/00108106 from sent9

Text  : Mówiąc o priorytetowej roli inwestycji w sport powszechny , minister Mucha wskazała ,  że w  ośmiu gminach woj .  śląskiego nie ma pełnowymiarowej sali gimnastycznej ,  a  55 gmin nie wzięło udziału w  programie „  Moje Boisko -  Orlik 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

Chunks:
  TruePositive nam [11,11] = Mucha (confidence=1.00)
  FalsePositive nam [36,37] = Moje Boisko (confidence=1.00)
  FalsePositive nam [39,40] = Orlik 2012 (confidence=0.73)
  FalseNegative nam [20,20] = śląskiego
  FalseNegative nam [36,40] = Moje Boisko - Orlik 2012

(ChunkerEvaluator) Sentence #5147 from articles/00108106 from sent11

Text  : Mam nadzieję , że w najbliższym czasie z pomocą środków z  ministerstwa uda się nadrobić te braki -  dodała Mucha .
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] = Mucha (confidence=1.00)
  FalseNegative nam [12,12] = ministerstwa

2016-11-04 12:06:55,781 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 238 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108108.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108108.ini
(ChunkerEvaluator) Sentence #5148 from articles/00108108 from sent1

Text  : KRONIKA KRYMINALNA
Tokens: 1______ 2_________

Chunks:
  FalsePositive nam [1,2] = KRONIKA KRYMINALNA (confidence=0.45)

(ChunkerEvaluator) Sentence #5149 from articles/00108108 from sent2

Text  : KRONIKA KRYMINALNA
Tokens: 1______ 2_________

Chunks:
  FalsePositive nam [1,2] = KRONIKA KRYMINALNA (confidence=0.45)

(ChunkerEvaluator) Sentence #5150 from articles/00108108 from sent3

Text  : ALKOHOL W BAKU .
Tokens: 1______ 2 3___ 4

Chunks:
  FalsePositive nam [3,3] = BAKU (confidence=0.95)

(ChunkerEvaluator) Sentence #5152 from articles/00108108 from sent5

Text  : Mężczyzna podróżował oplem , został zatrzymany przez polskich celników na moście Wolności w  Cieszynie .
Tokens: 1________ 2_________ 3____ 4 5_____ 6_________ 7____ 8_______ 9_______ 10 11____ 12______ 13 14_______ 15

Chunks:
  TruePositive nam [12,12] = Wolności (confidence=0.96)
  TruePositive nam [14,14] = Cieszynie (confidence=1.00)
  FalseNegative nam [3,3] = oplem

(ChunkerEvaluator) Sentence #5157 from articles/00108108 from sent10

Text  : POŻAR OD GRZEJNIKA .
Tokens: 1____ 2_ 3________ 4

Chunks:
  FalsePositive nam [3,3] = GRZEJNIKA (confidence=0.68)

2016-11-04 12:06:55,817 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 239 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108115.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108115.ini
(ChunkerEvaluator) Sentence #5166 from articles/00108115 from sent3

Text  : Warszawa ( PAP ) - Piątkowe obrady Sejmu zdominowała informacja szefa MSWiA Krzysztofa Janika na temat zajść w  podczas rolniczej blokady w  Cieni II niedaleko Kalisza ,  gdzie policja użyła gumowych kul
Tokens: 1_______ 2 3__ 4 5 6_______ 7_____ 8____ 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] = Warszawa (confidence=1.00)
  TruePositive nam [3,3] = PAP (confidence=1.00)
  TruePositive nam [8,8] = Sejmu (confidence=1.00)
  TruePositive nam [12,12] = MSWiA (confidence=1.00)
  TruePositive nam [13,14] = Krzysztofa Janika (confidence=0.91)
  TruePositive nam [26,26] = Kalisza (confidence=0.75)
  FalsePositive nam [23,24] = Cieni II (confidence=1.00)

(ChunkerEvaluator) Sentence #5167 from articles/00108115 from sent4

Text  : " Kamień lub kij nie mogą być bronią w walce nawet o  najsłuszniejsze postulaty .
Tokens: 1 2_____ 3__ 4__ 5__ 6___ 7__ 8_____ 9 10___ 11___ 12 13_____________ 14_______ 15

Chunks:
  FalsePositive nam [2,2] = Kamień (confidence=0.55)

(ChunkerEvaluator) Sentence #5183 from articles/00108115 from sent20

Text  : Pęczak powiedział , że odpowiedzialność za złamanie prawa powinni ponieść także rolnicy
Tokens: 1_____ 2_________ 3 4_ 5_______________ 6_ 7_______ 8____ 9______ 10_____ 11___ 12_____

Chunks:
  FalseNegative nam [1,1] = Pęczak

(ChunkerEvaluator) Sentence #5186 from articles/00108115 from sent23

Text  : Rząd nie uczy się na błędach poprzedników .
Tokens: 1___ 2__ 3___ 4__ 5_ 6______ 7___________ 8

Chunks:
  FalseNegative nam [1,1] = Rząd

(ChunkerEvaluator) Sentence #5199 from articles/00108115 from sent36

Text  : Tomczak wniósł o odrzucenie informacji ministra
Tokens: 1______ 2_____ 3 4_________ 5_________ 6_______

Chunks:
  FalseNegative nam [1,1] = Tomczak

(ChunkerEvaluator) Sentence #5203 from articles/00108115 from sent40

Text  : Wiceszef komisji śledczej do zbadania tzw . afery Rywina ,  Bohdan Kopczyński (  LPR )  powiedział PAP ,  że "  grupa posłów Ligi ,  w  osobach pana Kotlinowskiego ,  pana Giertycha i  pani Sobeckiej dyktatorsko zmusza posłów ,  aby m  zrezygnował "  (  z  udziału w  komisji śledczej )  -  powiedział Kopczyński
Tokens: 1_______ 2______ 3_______ 4_ 5_______ 6__ 7 8____ 9_____ 10 11____ 12________ 13 14_ 15 16________ 17_ 18 19 20 21___ 22____ 23__ 24 25 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 [11,12] = Bohdan Kopczyński (confidence=1.00)
  TruePositive nam [14,14] = LPR (confidence=1.00)
  TruePositive nam [17,17] = PAP (confidence=1.00)
  TruePositive nam [23,23] = Ligi (confidence=1.00)
  TruePositive nam [28,28] = Kotlinowskiego (confidence=1.00)
  TruePositive nam [31,31] = Giertycha (confidence=0.99)
  TruePositive nam [34,34] = Sobeckiej (confidence=1.00)
  TruePositive nam [52,52] = Kopczyński (confidence=1.00)
  FalsePositive nam [9,9] = Rywina (confidence=0.98)
  FalseNegative nam [8,9] = afery Rywina

(ChunkerEvaluator) Sentence #5204 from articles/00108115 from sent41

Text  : Przed godz . 10 posłanka Ligi Anna Sobecka poinformowała ,  że Kopczyński został usunięty z  klubu LPR .
Tokens: 1____ 2___ 3 4_ 5_______ 6___ 7___ 8______ 9____________ 10 11 12________ 13____ 14______ 15 16___ 17_ 18

Chunks:
  TruePositive nam [12,12] = Kopczyński (confidence=1.00)
  TruePositive nam [17,17] = LPR (confidence=1.00)
  FalsePositive nam [6,8] = Ligi Anna Sobecka (confidence=1.00)
  FalseNegative nam [6,6] = Ligi
  FalseNegative nam [7,8] = Anna Sobecka

(ChunkerEvaluator) Sentence #5221 from articles/00108115 from sent58

Text  : " Stanowisko Konwentu i Prezydium było jednolite , z wyjątkiem pana posła (  Kotlinowskiego -  PAP )  ,  cały Konwent oraz całe Prezydium przyjęło jednolite stanowisko ,  że sprawy związane z  wymianą muszą być najpierw wyjaśnione "  -  powiedział marszałek Marek Borowski .
Tokens: 1 2_________ 3_______ 4 5________ 6___ 7________ 8 9 10_______ 11__ 12___ 13 14____________ 15 16_ 17 18 19__ 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 [14,14] = Kotlinowskiego (confidence=1.00)
  TruePositive nam [16,16] = PAP (confidence=0.98)
  TruePositive nam [20,20] = Konwent (confidence=0.95)
  TruePositive nam [23,23] = Prezydium (confidence=0.55)
  TruePositive nam [41,42] = Marek Borowski (confidence=1.00)
  FalsePositive nam [2,3] = Stanowisko Konwentu (confidence=0.99)
  FalseNegative nam [3,3] = Konwentu
  FalseNegative nam [5,5] = Prezydium

2016-11-04 12:06:56,084 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 240 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108116.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108116.ini
(ChunkerEvaluator) Sentence #5228 from articles/00108116 from sent6

Text  : Tak o swojej akcji opowiadają autorzy projektu , czyli Agnieszka Czerwińska i  Justyna Klein z  kolektywu Fotograficznego Gęsia Skórka .
Tokens: 1__ 2 3_____ 4____ 5_________ 6______ 7_______ 8 9____ 10_______ 11________ 12 13_____ 14___ 15 16_______ 17_____________ 18___ 19____ 20

Chunks:
  TruePositive nam [10,11] = Agnieszka Czerwińska (confidence=1.00)
  TruePositive nam [13,14] = Justyna Klein (confidence=1.00)
  FalsePositive nam [17,19] = Fotograficznego Gęsia Skórka (confidence=0.97)
  FalseNegative nam [18,19] = Gęsia Skórka

(ChunkerEvaluator) Sentence #5238 from articles/00108116 from sent16

Text  : Impreza SkinYard odbędzie się w czwartek , 31 stycznia w  Jerozolimie w  Alejach Jerozolimskich 57 .
Tokens: 1______ 2_______ 3_______ 4__ 5 6_______ 7 8_ 9_______ 10 11_________ 12 13_____ 14____________ 15 16

Chunks:
  TruePositive nam [2,2] = SkinYard (confidence=0.98)
  TruePositive nam [11,11] = Jerozolimie (confidence=1.00)
  FalsePositive nam [13,15] = Alejach Jerozolimskich 57 (confidence=1.00)
  FalseNegative nam [13,14] = Alejach Jerozolimskich

2016-11-04 12:06:56,359 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 241 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108119.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108119.ini
(ChunkerEvaluator) Sentence #5252 from articles/00108119 from sent12

Text  : Rzeszowianie będą wypełniali ankiety konsultacyjne , które będą dostępne w  ratuszu ,  w  Punktach Informacji i  Obsługi Mieszkańców Urzędu Miasta Rzeszowa przy ul .  Okrzei 1  ,  pl .  Ofiar Getta 7  ,  ul .  Kopernika 15 ,  al .  Witosa 21 (  hipermarket Real )  ,  al .  Rejtana 69 (  hipermarket Leclerc )  ,  al .  Kopisto 1  (  Centrum Kulturalno -  Handlowe Millenium Hall )  i  ul .  Krakowska 20 (  Galeria Handlowa Nowy Świat )  ,  w  siedzibach rad osiedlowych miasta Rzeszowa .
Tokens: 1___________ 2___ 3_________ 4______ 5____________ 6 7____ 8___ 9_______ 10 11_____ 12 13 14______ 15________ 16 17_____ 18_________ 19____ 20____ 21______ 22__ 23 24 25____ 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 [1,1] = Rzeszowianie (confidence=0.69)
  TruePositive nam [25,25] = Okrzei (confidence=1.00)
  TruePositive nam [30,31] = Ofiar Getta (confidence=1.00)
  TruePositive nam [36,36] = Kopernika (confidence=1.00)
  TruePositive nam [41,41] = Witosa (confidence=1.00)
  TruePositive nam [45,45] = Real (confidence=1.00)
  TruePositive nam [50,50] = Rejtana (confidence=1.00)
  TruePositive nam [54,54] = Leclerc (confidence=1.00)
  TruePositive nam [59,59] = Kopisto (confidence=1.00)
  TruePositive nam [62,67] = Centrum Kulturalno - Handlowe Millenium Hall (confidence=0.96)
  TruePositive nam [72,72] = Krakowska (confidence=1.00)
  TruePositive nam [75,78] = Galeria Handlowa Nowy Świat (confidence=0.99)
  TruePositive nam [86,86] = Rzeszowa (confidence=1.00)
  FalsePositive nam [14,15] = Punktach Informacji (confidence=1.00)
  FalsePositive nam [17,20] = Obsługi Mieszkańców Urzędu Miasta (confidence=0.88)
  FalsePositive nam [21,21] = Rzeszowa (confidence=0.64)
  FalseNegative nam [14,21] = Punktach Informacji i Obsługi Mieszkańców Urzędu Miasta Rzeszowa

(ChunkerEvaluator) Sentence #5256 from articles/00108119 from sent16

Text  : Ten wyda swoją opinię na temat zmiany granic i prześle dokumenty do Warszawy do Ministerstwa Administracji i  Cyfryzacji .
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] = Warszawy (confidence=1.00)
  FalsePositive nam [15,16] = Ministerstwa Administracji (confidence=1.00)
  FalsePositive nam [18,18] = Cyfryzacji (confidence=0.73)
  FalseNegative nam [15,18] = Ministerstwa Administracji i Cyfryzacji

2016-11-04 12:06:56,438 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 242 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108120.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108120.ini
(ChunkerEvaluator) Sentence #5258 from articles/00108120 from sent1

Text  : RPO : telewizyjna kampania o UE - niedostępna dla głuchych
Tokens: 1__ 2 3__________ 4_______ 5 6_ 7 8__________ 9__ 10______

Chunks:
  TruePositive nam [6,6] = UE (confidence=1.00)
  FalsePositive nam [1,1] = RPO (confidence=1.00)

(ChunkerEvaluator) Sentence #5260 from articles/00108120 from sent3

Text  : Warszawa ( PAP ) - Emitowana w telewizji kampania informacyjna w  sprawie przystąpienia Polski do Unii Europejskiej jest niedostępna dla głuchych ,  bowiem udzielane w  niej informacje nie są przekazywane w  języku migowym -  uważa RPO
Tokens: 1_______ 2 3__ 4 5 6________ 7 8________ 9_______ 10__________ 11 12_____ 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] = Warszawa (confidence=1.00)
  TruePositive nam [3,3] = PAP (confidence=1.00)
  TruePositive nam [14,14] = Polski (confidence=1.00)
  TruePositive nam [16,17] = Unii Europejskiej (confidence=1.00)
  FalsePositive nam [36,36] = RPO (confidence=0.66)

(ChunkerEvaluator) Sentence #5262 from articles/00108120 from sent5

Text  : W liście , udostępnionym PAP w poniedziałek , RPO przypomina ,  że zgodnie z  Kartą Praw Osób Niepełnosprawnych (  uchwaloną przez Sejm w  1997 r  .  )  osoby niepełnosprawne mają prawo do niezależnego ,  samodzielnego i  aktywnego życia oraz nie mogą podlegać dyskryminacji .
Tokens: 1 2_____ 3 4____________ 5__ 6 7___________ 8 9__ 10________ 11 12 13_____ 14 15___ 16__ 17__ 18_______________ 19 20_______ 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] = PAP (confidence=1.00)
  TruePositive nam [15,18] = Kartą Praw Osób Niepełnosprawnych (confidence=1.00)
  TruePositive nam [22,22] = Sejm (confidence=1.00)
  FalsePositive nam [9,9] = RPO (confidence=1.00)

(ChunkerEvaluator) Sentence #5267 from articles/00108120 from sent10

Text  : Związek wyraził gotowość współpracy , mającej na celu jak najszybsze zlikwidowanie bariery i  dotarcie do osób głuchych i  głuchoniemych z  możliwie najszerszą informacją .
Tokens: 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] = Związek

(ChunkerEvaluator) Sentence #5268 from articles/00108120 from sent11

Text  : ( PAP ) dsr / past / hes /
Tokens: 1 2__ 3 4__ 5 6___ 7 8__ 9

Chunks:
  TruePositive nam [2,2] = PAP (confidence=1.00)
  FalsePositive nam [4,4] = dsr (confidence=0.83)

2016-11-04 12:06:56,508 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 243 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108122.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108122.ini
(ChunkerEvaluator) Sentence #5270 from articles/00108122 from sent2

Text  : Zarząd klubu Radomiak Radom S .
Tokens: 1_____ 2____ 3_______ 4____ 5 6

Chunks:
  FalsePositive nam [3,5] = Radomiak Radom S (confidence=1.00)
  FalseNegative nam [3,6] = Radomiak Radom S .

2016-11-04 12:06:56,554 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 244 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108124.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108124.ini
(ChunkerEvaluator) Sentence #5288 from articles/00108124 from sent5

Text  : Największe utrudnienia w ruchu powoduje blokada drogi Łódź - Sieradz w  Łasku .
Tokens: 1_________ 2__________ 3 4____ 5_______ 6______ 7____ 8___ 9 10_____ 11 12___ 13

Chunks:
  TruePositive nam [12,12] = Łasku (confidence=0.94)
  FalsePositive nam [8,10] = Łódź - Sieradz (confidence=1.00)
  FalseNegative nam [8,8] = Łódź
  FalseNegative nam [10,10] = Sieradz

(ChunkerEvaluator) Sentence #5290 from articles/00108124 from sent7

Text  : Rolnicy blokują również drogi : Warszawa - Wrocław w Studziankach ,  Łódź -  Konin w  Kucinach i  Uniejowie ,  Łódź -  Łowicz w  Domaniewicach ,  Łódź -  Wrocław w  Sieradzu i  Złoczewie ,  Łódź -  Kalisz w  Błaszkach ,  Gdańsk -  Cieszyn w  Strzecach Małych koło Radomska i  Ozorkowie ,  Wieluń -  Kluczbork w  Kadłubie ,  Częstochowa -  Wieluń w  Dzietrznikach ,  Łask -  Widawa w  Sędziejowicach i  Łódź -  Błaszki w  Górnej Woli
Tokens: 1______ 2______ 3______ 4____ 5 6_______ 7 8______ 9 10__________ 11 12__ 13 14___ 15 16______ 17 18_______ 19 20__ 21 22____ 23 24___________ 25 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 [10,10] = Studziankach (confidence=0.93)
  TruePositive nam [16,16] = Kucinach (confidence=1.00)
  TruePositive nam [18,18] = Uniejowie (confidence=1.00)
  TruePositive nam [24,24] = Domaniewicach (confidence=0.98)
  TruePositive nam [30,30] = Sieradzu (confidence=1.00)
  TruePositive nam [32,32] = Złoczewie (confidence=1.00)
  TruePositive nam [38,38] = Błaszkach (confidence=0.97)
  TruePositive nam [40,40] = Gdańsk (confidence=0.98)
  TruePositive nam [42,42] = Cieszyn (confidence=0.64)
  TruePositive nam [44,45] = Strzecach Małych (confidence=1.00)
  TruePositive nam [47,47] = Radomska (confidence=0.90)
  TruePositive nam [49,49] = Ozorkowie (confidence=0.97)
  TruePositive nam [55,55] = Kadłubie (confidence=1.00)
  TruePositive nam [57,57] = Częstochowa (confidence=1.00)
  TruePositive nam [59,59] = Wieluń (confidence=0.86)
  TruePositive nam [61,61] = Dzietrznikach (confidence=1.00)
  TruePositive nam [67,67] = Sędziejowicach (confidence=1.00)
  TruePositive nam [69,69] = Łódź (confidence=1.00)
  TruePositive nam [71,71] = Błaszki (confidence=0.55)
  TruePositive nam [73,74] = Górnej Woli (confidence=1.00)
  FalsePositive nam [6,8] = Warszawa - Wrocław (confidence=1.00)
  FalsePositive nam [12,14] = Łódź - Konin (confidence=1.00)
  FalsePositive nam [20,22] = Łódź - Łowicz (confidence=1.00)
  FalsePositive nam [26,28] = Łódź - Wrocław (confidence=1.00)
  FalsePositive nam [34,36] = Łódź - Kalisz (confidence=1.00)
  FalsePositive nam [51,53] = Wieluń - Kluczbork (confidence=1.00)
  FalsePositive nam [63,65] = Łask - Widawa (confidence=1.00)
  FalseNegative nam [6,6] = Warszawa
  FalseNegative nam [8,8] = Wrocław
  FalseNegative nam [12,12] = Łódź
  FalseNegative nam [14,14] = Konin
  FalseNegative nam [20,20] = Łódź
  FalseNegative nam [22,22] = Łowicz
  FalseNegative nam [26,26] = Łódź
  FalseNegative nam [28,28] = Wrocław
  FalseNegative nam [34,34] = Łódź
  FalseNegative nam [36,36] = Kalisz
  FalseNegative nam [51,51] = Wieluń
  FalseNegative nam [53,53] = Kluczbork
  FalseNegative nam [63,63] = Łask
  FalseNegative nam [65,65] = Widawa

(ChunkerEvaluator) Sentence #5293 from articles/00108124 from sent10

Text  : ( PAP ) hop / malk / bug /
Tokens: 1 2__ 3 4__ 5 6___ 7 8__ 9

Chunks:
  TruePositive nam [2,2] = PAP (confidence=1.00)
  FalsePositive nam [6,6] = malk (confidence=0.52)

2016-11-04 12:06:56,610 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 245 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108128.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108128.ini
(ChunkerEvaluator) Sentence #5297 from articles/00108128 from sent4

Text  : Komisja kultury Rady Miejskiej chce obciąć budżet galerii o 20 proc .
Tokens: 1______ 2______ 3___ 4________ 5___ 6_____ 7_____ 8______ 9 10 11__ 12

Chunks:
  FalsePositive nam [3,4] = Rady Miejskiej (confidence=1.00)
  FalseNegative nam [1,4] = Komisja kultury Rady Miejskiej

(ChunkerEvaluator) Sentence #5302 from articles/00108128 from sent9

Text  : Komisja kultury Rady Miejskiej chce obciąć budżet galerii o 20 proc .
Tokens: 1______ 2______ 3___ 4________ 5___ 6_____ 7_____ 8______ 9 10 11__ 12

Chunks:
  FalsePositive nam [3,4] = Rady Miejskiej (confidence=1.00)
  FalseNegative nam [1,4] = Komisja kultury Rady Miejskiej

(ChunkerEvaluator) Sentence #5308 from articles/00108128 from sent15

Text  : Tymczasem komisja kultury RM kwotę tę postanowiła obciąć jeszcze o  10 proc .
Tokens: 1________ 2______ 3______ 4_ 5____ 6_ 7__________ 8_____ 9______ 10 11 12__ 13

Chunks:
  TruePositive nam [4,4] = RM (confidence=0.98)
  FalseNegative nam [2,3] = komisja kultury

(ChunkerEvaluator) Sentence #5330 from articles/00108128 from sent37

Text  : Radna Antypiuk : - A najlepiej niech się sprywatyzują .
Tokens: 1____ 2_______ 3 4 5 6________ 7____ 8__ 9___________ 10

Chunks:
  FalsePositive nam [1,2] = Radna Antypiuk (confidence=0.65)
  FalseNegative nam [2,2] = Antypiuk

2016-11-04 12:06:56,746 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 246 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108129.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108129.ini
2016-11-04 12:06:56,858 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 247 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108133.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108133.ini
(ChunkerEvaluator) Sentence #5378 from articles/00108133 from sent2

Text  : Homomałżeństwa
Tokens: 1_____________

Chunks:
  FalsePositive nam [1,1] = Homomałżeństwa (confidence=0.77)

(ChunkerEvaluator) Sentence #5380 from articles/00108133 from sent4

Text  : Homomałżeństwa
Tokens: 1_____________

Chunks:
  FalsePositive nam [1,1] = Homomałżeństwa (confidence=0.77)

(ChunkerEvaluator) Sentence #5390 from articles/00108133 from sent14

Text  : Francuzów popiera małżeństwa osób tej samej płci .
Tokens: 1________ 2______ 3_________ 4___ 5__ 6____ 7___ 8

Chunks:
  FalseNegative nam [1,1] = Francuzów

2016-11-04 12:06:56,893 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 248 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108134.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108134.ini
(ChunkerEvaluator) Sentence #5392 from articles/00108134 from sent2

Text  : W położonej na północy Belgii Antwerpii powstaje największa śluza portowa na świecie .
Tokens: 1 2________ 3_ 4______ 5_____ 6________ 7_______ 8_________ 9____ 10_____ 11 12_____ 13

Chunks:
  FalsePositive nam [5,6] = Belgii Antwerpii (confidence=1.00)
  FalseNegative nam [5,5] = Belgii
  FalseNegative nam [6,6] = Antwerpii

(ChunkerEvaluator) Sentence #5408 from articles/00108134 from sent18

Text  : Pierwsza śluza na lewym brzegu Skaldy , z której obecnie korzystają statki ,  została otwarta w  1979 r  .  i  jest już za mała ,  a  przede wszystkim zbyt płytka ,  by przyjmować najcięższe transporty .
Tokens: 1_______ 2____ 3_ 4____ 5_____ 6_____ 7 8 9_____ 10_____ 11________ 12____ 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 [6,6] = Skaldy

2016-11-04 12:06:57,007 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 249 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108140.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108140.ini
(ChunkerEvaluator) Sentence #5419 from articles/00108140 from sent1

Text  : MŚ w biathlonie - Pałka : mijając metę - płakała m
Tokens: 1_ 2 3_________ 4 5____ 6 7______ 8___ 9 10_____ 11

Chunks:
  TruePositive nam [5,5] = Pałka (confidence=0.93)
  FalseNegative nam [1,3] = MŚ w biathlonie

(ChunkerEvaluator) Sentence #5420 from articles/00108140 from sent2

Text  : Krystyna Pałka , srebrna medalistka w biegu na dochodzenie na 10 km w  biathlonowych mistrzostwach świata w  Novym Mescie na Morawach ,  powiedziała na konferencji prasowej :
Tokens: 1_______ 2____ 3 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] = Krystyna Pałka (confidence=1.00)
  TruePositive nam [18,19] = Novym Mescie (confidence=1.00)
  TruePositive nam [21,21] = Morawach (confidence=0.97)
  FalseNegative nam [14,16] = biathlonowych mistrzostwach świata

2016-11-04 12:06:57,034 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 250 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108143.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108143.ini
(ChunkerEvaluator) Sentence #5448 from articles/00108143 from sent22

Text  : Polki zagrają w Belgii
Tokens: 1____ 2______ 3 4_____

Chunks:
  TruePositive nam [4,4] = Belgii (confidence=1.00)
  FalseNegative nam [1,1] = Polki

(ChunkerEvaluator) Sentence #5453 from articles/00108143 from sent27

Text  : Pojedynek zostanie rozegrany w Belgii , dlatego wrocławscy kibice nie zobaczą we wrocławskiej Hali Stulecia Agnieszki Radwańskiej .
Tokens: 1________ 2_______ 3________ 4 5_____ 6 7______ 8_________ 9_____ 10_ 11_____ 12 13__________ 14__ 15______ 16_______ 17_________ 18

Chunks:
  TruePositive nam [5,5] = Belgii (confidence=1.00)
  FalsePositive nam [14,17] = Hali Stulecia Agnieszki Radwańskiej (confidence=1.00)
  FalseNegative nam [14,15] = Hali Stulecia
  FalseNegative nam [16,17] = Agnieszki Radwańskiej

(ChunkerEvaluator) Sentence #5455 from articles/00108143 from sent29

Text  : Polki trafiły na drużynę Belgii i zagrają na wyjeździe .
Tokens: 1____ 2______ 3_ 4______ 5_____ 6 7______ 8_ 9________ 10

Chunks:
  TruePositive nam [5,5] = Belgii (confidence=1.00)
  FalseNegative nam [1,1] = Polki

2016-11-04 12:06:57,162 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 251 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108144.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108144.ini
(ChunkerEvaluator) Sentence #5468 from articles/00108144 from sent9

Text  : Real Madryt : Diego Lopez ; Alvaro Arbeloa , Raphael Varane ,  Sergio Ramos ,  Fabio Coentrao ;  Xabi Alonso (  84 -  Pepe )  ,  Sami Khedira ;  Angel Di Maria (  75 -  Luka Modric )  ,  Mesut Oezil ,  Cristiano Ronaldo ;  Karim Benzema (  60 -  Gonzalo Higuain )  .
Tokens: 1___ 2_____ 3 4____ 5____ 6 7_____ 8______ 9 10_____ 11____ 12 13____ 14___ 15 16___ 17______ 18 19__ 20____ 21 22 23 24__ 25 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 [1,2] = Real Madryt (confidence=0.99)
  TruePositive nam [4,5] = Diego Lopez (confidence=1.00)
  TruePositive nam [7,8] = Alvaro Arbeloa (confidence=0.99)
  TruePositive nam [10,11] = Raphael Varane (confidence=1.00)
  TruePositive nam [13,14] = Sergio Ramos (confidence=1.00)
  TruePositive nam [16,17] = Fabio Coentrao (confidence=1.00)
  TruePositive nam [19,20] = Xabi Alonso (confidence=0.99)
  TruePositive nam [27,28] = Sami Khedira (confidence=0.99)
  TruePositive nam [30,32] = Angel Di Maria (confidence=0.98)
  TruePositive nam [36,37] = Luka Modric (confidence=0.98)
  TruePositive nam [40,41] = Mesut Oezil (confidence=1.00)
  TruePositive nam [43,44] = Cristiano Ronaldo (confidence=1.00)
  TruePositive nam [46,47] = Karim Benzema (confidence=0.99)
  TruePositive nam [51,52] = Gonzalo Higuain (confidence=0.86)
  FalseNegative nam [24,24] = Pepe

2016-11-04 12:06:57,205 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 252 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108145.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108145.ini
(ChunkerEvaluator) Sentence #5471 from articles/00108145 from sent2

Text  : Dotychczasowy wiceprzewodniczący kujawsko - pomorskiej Unii Wolności Andrzej Kobiak został pełnomocnikiem Platformy Obywatelskiej na Bydgoszcz .
Tokens: 1____________ 2_________________ 3_______ 4 5_________ 6___ 7_______ 8______ 9_____ 10____ 11____________ 12_______ 13___________ 14 15_______ 16

Chunks:
  TruePositive nam [6,7] = Unii Wolności (confidence=1.00)
  TruePositive nam [8,9] = Andrzej Kobiak (confidence=0.99)
  TruePositive nam [12,13] = Platformy Obywatelskiej (confidence=1.00)
  TruePositive nam [15,15] = Bydgoszcz (confidence=0.97)
  FalseNegative nam [3,5] = kujawsko - pomorskiej

(ChunkerEvaluator) Sentence #5474 from articles/00108145 from sent5

Text  : Kobiak na Platformie
Tokens: 1_____ 2_ 3_________

Chunks:
  TruePositive nam [3,3] = Platformie (confidence=1.00)
  FalseNegative nam [1,1] = Kobiak

2016-11-04 12:06:57,272 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 253 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108147.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108147.ini
(ChunkerEvaluator) Sentence #5492 from articles/00108147 from sent1

Text  : Sandecja lepsza od Okocimskiego w sparingu małopolskich pierwszoligowców
Tokens: 1_______ 2_____ 3_ 4___________ 5 6_______ 7___________ 8_______________

Chunks:
  TruePositive nam [4,4] = Okocimskiego (confidence=0.99)
  FalseNegative nam [1,1] = Sandecja

(ChunkerEvaluator) Sentence #5497 from articles/00108147 from sent6

Text  : Okocimski testował trzech zawodników , których nazwisk nie ujawnił .
Tokens: 1________ 2_______ 3_____ 4_________ 5 6______ 7______ 8__ 9______ 10

Chunks:
  FalseNegative nam [1,1] = Okocimski

(ChunkerEvaluator) Sentence #5498 from articles/00108147 from sent7

Text  : Okocimski KS Brzesko - Sandecja Nowy Sącz 2 : 4  (  1  :  1  )
Tokens: 1________ 2_ 3______ 4 5_______ 6___ 7___ 8 9 10 11 12 13 14 15

Chunks:
  TruePositive nam [5,7] = Sandecja Nowy Sącz (confidence=0.60)
  FalsePositive nam [1,3] = Okocimski KS Brzesko (confidence=0.44)
  FalseNegative nam [1,1] = Okocimski
  FalseNegative nam [2,3] = KS Brzesko

(ChunkerEvaluator) Sentence #5501 from articles/00108147 from sent10

Text  : Okocimski : Mieczkowski ( 46 .
Tokens: 1________ 2 3__________ 4 5_ 6

Chunks:
  TruePositive nam [3,3] = Mieczkowski (confidence=1.00)
  FalseNegative nam [1,1] = Okocimski

(ChunkerEvaluator) Sentence #5506 from articles/00108147 from sent15

Text  : Wieczorek ) , Chyła ( 46 .
Tokens: 1________ 2 3 4____ 5 6_ 7

Chunks:
  TruePositive nam [4,4] = Chyła (confidence=0.99)
  FalseNegative nam [1,1] = Wieczorek

(ChunkerEvaluator) Sentence #5511 from articles/00108147 from sent20

Text  : Ogar )
Tokens: 1___ 2

Chunks:
  FalsePositive nam [1,1] = Ogar (confidence=0.84)

(ChunkerEvaluator) Sentence #5512 from articles/00108147 from sent21

Text  : Sandecja : Cabaj - Borovicanin , Czarnecki , Duda ,  Mójta -  Bębenek (  55 .
Tokens: 1_______ 2 3____ 4 5__________ 6 7________ 8 9___ 10 11___ 12 13_____ 14 15 16

Chunks:
  TruePositive nam [3,3] = Cabaj (confidence=0.75)
  TruePositive nam [5,5] = Borovicanin (confidence=0.88)
  TruePositive nam [7,7] = Czarnecki (confidence=1.00)
  TruePositive nam [9,9] = Duda (confidence=1.00)
  FalsePositive nam [11,11] = Mójta (confidence=1.00)
  FalsePositive nam [13,13] = Bębenek (confidence=0.67)
  FalseNegative nam [1,1] = Sandecja
  FalseNegative nam [11,13] = Mójta - Bębenek

2016-11-04 12:06:57,326 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 254 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108148.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108148.ini
2016-11-04 12:06:57,366 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 255 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108149.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108149.ini
(ChunkerEvaluator) Sentence #5528 from articles/00108149 from sent3

Text  : Tur prowadził w sobotnim meczu kontrolnym po bramce strzelonej tuż przed przerwą przez Radosława Żero z  występującym w  warmińsko -  mazurskiej IV lidze Zniczem Biała Piska (  trzecie miejsce w  tabeli po jesiennej części rozgrywek )  .
Tokens: 1__ 2________ 3 4_______ 5____ 6_________ 7_ 8_____ 9_________ 10_ 11___ 12_____ 13___ 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 [14,15] = Radosława Żero (confidence=1.00)
  TruePositive nam [24,26] = Zniczem Biała Piska (confidence=0.99)
  FalsePositive nam [22,22] = IV (confidence=0.91)
  FalseNegative nam [1,1] = Tur
  FalseNegative nam [19,21] = warmińsko - mazurskiej

(ChunkerEvaluator) Sentence #5537 from articles/00108149 from sent12

Text  : Był to siódmy kontrolny mecz Tura Bielsk Podlaski w okresie przygotowawczym (  pięć zwycięstw -  z  Młodą Jagiellonią Białystok ,  Magnatem Juchnowiec Kościelny ,  Promieniem Mońki ,  Piastem Białystok ,  Narwią Choroszcz ,  remis ze Zniczem Biała Piska ,  jedna porażka -  z  Olimpią Zambrów )  .
Tokens: 1__ 2_ 3_____ 4________ 5___ 6___ 7_____ 8_______ 9 10_____ 11_____________ 12 13__ 14_______ 15 16 17___ 18_________ 19_______ 20 21______ 22________ 23_______ 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 [6,8] = Tura Bielsk Podlaski (confidence=1.00)
  TruePositive nam [17,19] = Młodą Jagiellonią Białystok (confidence=1.00)
  TruePositive nam [25,26] = Promieniem Mońki (confidence=0.87)
  TruePositive nam [31,32] = Narwią Choroszcz (confidence=1.00)
  TruePositive nam [36,38] = Zniczem Biała Piska (confidence=1.00)
  TruePositive nam [44,45] = Olimpią Zambrów (confidence=1.00)
  FalsePositive nam [21,21] = Magnatem (confidence=1.00)
  FalsePositive nam [22,23] = Juchnowiec Kościelny (confidence=0.55)
  FalsePositive nam [28,29] = Piastem Białystok (confidence=1.00)
  FalseNegative nam [21,23] = Magnatem Juchnowiec Kościelny

(ChunkerEvaluator) Sentence #5541 from articles/00108149 from sent16

Text  : Tur : Sosnowski ( Struchowski ) - Gudewicz , Marcinkiewicz ,  Naliwajko ,  K  .  Kulikowski -  Kesler ,  Łochnicki ,  Lewczuk ,  Żero -  Murawski ,  Karwacki ,  Na zmiany wchodzili :  K  .  Jakubowski ,  Wierbicki ,  Tkaczuk ,  Pieczywek ,  R  .  Kulikowski .
Tokens: 1__ 2 3________ 4 5__________ 6 7 8_______ 9 10___________ 11 12_______ 13 14 15 16________ 17 18____ 19 20_______ 21 22_____ 23 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 [1,1] = Tur (confidence=0.72)
  TruePositive nam [3,3] = Sosnowski (confidence=0.99)
  TruePositive nam [5,5] = Struchowski (confidence=1.00)
  TruePositive nam [8,8] = Gudewicz (confidence=0.97)
  TruePositive nam [10,10] = Marcinkiewicz (confidence=1.00)
  TruePositive nam [12,12] = Naliwajko (confidence=1.00)
  TruePositive nam [18,18] = Kesler (confidence=0.94)
  TruePositive nam [20,20] = Łochnicki (confidence=1.00)
  TruePositive nam [22,22] = Lewczuk (confidence=1.00)
  TruePositive nam [24,24] = Żero (confidence=0.97)
  TruePositive nam [26,26] = Murawski (confidence=0.98)
  TruePositive nam [28,28] = Karwacki (confidence=1.00)
  TruePositive nam [34,36] = K . Jakubowski (confidence=1.00)
  TruePositive nam [38,38] = Wierbicki (confidence=1.00)
  TruePositive nam [40,40] = Tkaczuk (confidence=1.00)
  TruePositive nam [42,42] = Pieczywek (confidence=1.00)
  TruePositive nam [44,46] = R . Kulikowski (confidence=0.82)
  FalsePositive nam [16,16] = Kulikowski (confidence=0.85)
  FalseNegative nam [14,16] = K . Kulikowski

2016-11-04 12:06:57,460 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 256 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108155.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108155.ini
(ChunkerEvaluator) Sentence #5545 from articles/00108155 from sent4

Text  : " Inwestycje społeczne mają kluczowe znaczenie , jeśli chcemy wyjść z  kryzysu silniejsi ,  bardziej spójni i  bardziej konkurencyjni "  -  mówił na środowej konferencji prasowej w  Brukseli Andor .
Tokens: 1 2_________ 3________ 4___ 5_______ 6________ 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 [28,29] = Brukseli Andor (confidence=1.00)
  FalseNegative nam [28,28] = Brukseli
  FalseNegative nam [29,29] = Andor

(ChunkerEvaluator) Sentence #5553 from articles/00108155 from sent12

Text  : Komisja chciała by uproszczenia , ale jednocześnie lepszego ukierunkowania polityki społecznej .
Tokens: 1______ 2______ 3_ 4___________ 5 6__ 7___________ 8_______ 9_____________ 10______ 11________ 12

Chunks:
  FalsePositive nam [1,1] = Komisja (confidence=0.69)

2016-11-04 12:06:57,603 [main] INFO  g419.corpus.io.reader.BatchReader - Reading 257 from 257: /nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108157.xml
/nlp/corpora/agora/agora-workdir/agora-1.2.1-names-disamb-names/articles/00108157.ini
(ChunkerEvaluator) Sentence #5582 from articles/00108157 from sent13

Text  : Centrum jest położone przy jednym z największych węzłów autostradowych w  Polsce (  Gliwice -  Sośnica )  ,  gdzie łączą się autostrady A1 i  A4 i  droga krajowa nr 44 oraz na obszarze gęsto zaludnionego Górnośląskiego Okręgu Przemysłowego ,  co sprawia ,  że niemal 5  mln osób może w  ciągu godziny dojechać tu na zakupy .
Tokens: 1______ 2___ 3_______ 4___ 5_____ 6 7___________ 8_____ 9_____________ 10 11____ 12 13_____ 14 15_____ 16 17 18___ 19___ 20_ 21________ 22 23 24 25 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 [11,11] = Polsce (confidence=1.00)
  TruePositive nam [22,22] = A1 (confidence=0.97)
  TruePositive nam [24,24] = A4 (confidence=0.81)
  TruePositive nam [35,37] = Górnośląskiego Okręgu Przemysłowego (confidence=0.99)
  FalsePositive nam [13,15] = Gliwice - Sośnica (confidence=1.00)
  FalseNegative nam [1,1] = Centrum
  FalseNegative nam [13,13] = Gliwice
  FalseNegative nam [15,15] = Sośnica
  FalseNegative nam [29,29] = 44

======================================================================================
# Exact match evaluation -- annotation span and types evaluation
======================================================================================
        Annotation                     &      TP &      FP &      FN & Precision & Recall  & F$_1$   \\
\hline
        nam                            &    5855 &     650 &     990 &    90.01% &  85.54% &  87.72% \\
\hline
        *TOTAL*                        &    5855 &     650 &     990 &    90.01% &  85.54% &  87.72% \\


======================================================================================
# Annotation span evaluation (annotation types are ignored)
======================================================================================
        Annotation                     &      TP &      FP &      FN & Precision & Recall  & F$_1$   \\
\hline
        *TOTAL*                        &    5855 &     650 &     990 &    90.01% &  85.54% &  87.72% \\


======================================================================================
# MUC match evaluation
======================================================================================
        Annotation                     &     COR &     ACT &     POS & Precision & Recall  & F$_1$   \\
\hline
        nam                            &   12194 &     816 &    1487 &    93.73% &  89.13% &  91.37% \\
\hline
        *TOTAL*                        &   12194 &     816 &    1487 &    93.73% &  89.13% &  91.37% \\


====================================================
Processing time
====================================================
1) Model loading        : --h 04m 33s (273748950052ns) 
2) Data reading         : --h --m 00s (831873114ns) 
3) Feature generation   : --h --m 07s (7805588885ns) 
4) Chunking             : --h --m 12s (12737197504ns) 
5) Evaluation           : --h --m 03s (3078158140ns) (not in total time)
----------------------------------------------------
## Total time             --h 04m 55s (295123609555ns)
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Tokens           :    96487
Text kB          :      565.20
Tokens  / second :      326.94
Text kB / second :        1.92
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