Using a distributional semantic model for collocation іdentification

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dc.citation.epage237
dc.citation.spage236
dc.contributor.authorMosinyan Anna
dc.contributor.authorPetrasova Svitlana
dc.date.accessioned2022-11-11T07:20:19Z
dc.date.available2022-11-11T07:20:19Z
dc.date.issued2020
dc.description.abstractThis paper proposes the approach to automatic collocation identification using both the distributional semantic model and POS-tagging. The authors suggest calculating PMI to obtain a sequence of collocations from the designed corpus of research abstracts. Then POS-tagging is applied to classify collocations extracted from the text corpus.
dc.identifier.citationMosinyan A. Using a distributional semantic model for collocation іdentification / Anna Mosinyan, Svitlana Petrasova // Computational Linguistics and Intelligent Systems. – Lviv, 2020. – Volume 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine, June 23–24, 2020. – P. 236–237. – URL: https://colins.in.ua/wp-content/uploads/2020/06/preface_colins_volume2_2020_part6.pdf (дата звернення: 08.11.2022). – Bibliography: 2 titles.
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/57072
dc.language.isoen
dc.publisherонлайн
dc.subjectdistributional semantics, POS-tagging, collocation, text corpus, research abstracts
dc.titleUsing a distributional semantic model for collocation іdentification
dc.typeConference Abstract

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Computational Linguistics and Intelligent Systems. – 2020 р.