Wordnet-oriented Recognition of Derivational Relations

  Authors

Walentynowicz, Wiktor ; Piasecki, Maciej

 Date issued

2023-01-01

 Type

languageDescription

 Language(s)

English

 Description

Derivational relations are an important element in defining meanings, as they help to explore word-formation schemes and predict senses of derivates (derived words). In this work, we analyse different methods of representing derivational forms obtained from WordNet – from quantitative vectors to contextual learned embedding methods – and compare ways of classifying the derivational relations occurring between them. Our research focuses on the explainability of the obtained representations and results. The data source for our research is plWordNet, which is the wordnet of the Polish language and includes a rich set of derivation examples.

 Publisher

Global Wordnet Association

 Subject(s)

WordNet wordnet relations derivational relations

 Collection(s)

CLARIN-PL

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