© 2018 Global WordNet Association. All Rights Reserved. In the paper we presented a new Russian wordnet, RuWordNet, which was semi-automatically obtained by transformation of the existing Russian thesaurus RuThes. At the first step, the basic structure of wordnets was reproduced: synsets’ hierarchy for each part of speech and the basic set of relations between synsets (hyponym-hypernym, part-whole, antonyms). At the second stage, we added causation, entailment and domain relations between synsets. Also derivation relations were established for single words and the component structure for phrases included in RuWordNet. The described procedure of transformation highlights the specific features of each type of thesaurus representations
Semantic relatedness of terms represents similarity of meaning by a numerical score. On the one hand...
We present the first release of TatWordNet (http://wordnet.tatar), a wordnet resource for Tatar. Tat...
Semantic relatedness of terms represents similarity of meaning by a numerical score. On the one hand...
© 2018 Global WordNet Association. All Rights Reserved. In the paper we presented a new Russian word...
© Springer Nature Switzerland AG 2020. This article explores the principles of synsets in the RuWord...
The paper describes the structure and current state of RuThes – thesaurus of Russian lan-guage, cons...
© 2016 FRUCT.We present the types or multiword expressions included into the thesaurus or Russian la...
The article presents the analyses of analogues in the RuWordNet thesaurus regarding their semantic d...
YARN (Yet Another RussNet), a project started in 2013, aims at creating a large open WordNet-like th...
The YARN (Yet Another RussNet) project aims at creating a large open machine-readable thesaurus for ...
The paper gives an overview of the Russian Semantic Similarity Evaluation (RUSSE) shared task held i...
The paper gives an overview of the Russian Semantic Similarity Evaluation (RUSSE) shared task held i...
The problem of determining semantic similarity between words affects the understanding of synonymy a...
The paper describes a combined approach to extraction of a domain-specific sentiment lexicon. At fir...
© Published under licence by IOP Publishing Ltd. The paper analyzes the concepts and relations betwe...
Semantic relatedness of terms represents similarity of meaning by a numerical score. On the one hand...
We present the first release of TatWordNet (http://wordnet.tatar), a wordnet resource for Tatar. Tat...
Semantic relatedness of terms represents similarity of meaning by a numerical score. On the one hand...
© 2018 Global WordNet Association. All Rights Reserved. In the paper we presented a new Russian word...
© Springer Nature Switzerland AG 2020. This article explores the principles of synsets in the RuWord...
The paper describes the structure and current state of RuThes – thesaurus of Russian lan-guage, cons...
© 2016 FRUCT.We present the types or multiword expressions included into the thesaurus or Russian la...
The article presents the analyses of analogues in the RuWordNet thesaurus regarding their semantic d...
YARN (Yet Another RussNet), a project started in 2013, aims at creating a large open WordNet-like th...
The YARN (Yet Another RussNet) project aims at creating a large open machine-readable thesaurus for ...
The paper gives an overview of the Russian Semantic Similarity Evaluation (RUSSE) shared task held i...
The paper gives an overview of the Russian Semantic Similarity Evaluation (RUSSE) shared task held i...
The problem of determining semantic similarity between words affects the understanding of synonymy a...
The paper describes a combined approach to extraction of a domain-specific sentiment lexicon. At fir...
© Published under licence by IOP Publishing Ltd. The paper analyzes the concepts and relations betwe...
Semantic relatedness of terms represents similarity of meaning by a numerical score. On the one hand...
We present the first release of TatWordNet (http://wordnet.tatar), a wordnet resource for Tatar. Tat...
Semantic relatedness of terms represents similarity of meaning by a numerical score. On the one hand...