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    <abstract>In this paper we consider an approach to verification of large lexical-semantic resources as WordNet. The method of verification procedure is based on the analysis of discrepancies of corpus-based and thesaurus-based word similarities. We calculated such word similarities on the basis of a Russian news collection and Russian wordnet (RuWordNet). We applied the procedure to more than 30 thousand words and found some serious errors in word sense description, including incorrect or absent relations or missed main senses of ambiguous words.</abstract>
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%0 Conference Proceedings
%T Thesaurus Verification Based on Distributional Similarities
%A Loukachevitch, Natalia
%A Parkhomenko, Ekaterina
%Y Vossen, Piek
%Y Fellbaum, Christiane
%S Proceedings of the 10th Global Wordnet Conference
%D 2019
%8 July
%I Global Wordnet Association
%C Wroclaw, Poland
%F loukachevitch-parkhomenko-2019-thesaurus
%X In this paper we consider an approach to verification of large lexical-semantic resources as WordNet. The method of verification procedure is based on the analysis of discrepancies of corpus-based and thesaurus-based word similarities. We calculated such word similarities on the basis of a Russian news collection and Russian wordnet (RuWordNet). We applied the procedure to more than 30 thousand words and found some serious errors in word sense description, including incorrect or absent relations or missed main senses of ambiguous words.
%U https://aclanthology.org/2019.gwc-1.3
%P 16-23

Markdown (Informal)

[Thesaurus Verification Based on Distributional Similarities](https://aclanthology.org/2019.gwc-1.3) (Loukachevitch & Parkhomenko, GWC 2019)

• Thesaurus Verification Based on Distributional Similarities (Loukachevitch & Parkhomenko, GWC 2019)

ACL

• Natalia Loukachevitch and Ekaterina Parkhomenko. 2019. Thesaurus Verification Based on Distributional Similarities. In Proceedings of the 10th Global Wordnet Conference, pages 16–23, Wroclaw, Poland. Global Wordnet Association.