Semantic similarity detection in a single text

dc.citation.epage238
dc.citation.spage239
dc.contributor.authorPolityuk Anna
dc.contributor.authorOrobinska Olena
dc.date.accessioned2022-11-11T07:24:12Z
dc.date.available2022-11-11T07:24:12Z
dc.date.issued2020
dc.description.abstractTo solve many of the problems of automatic natural language processing, it is often necessary to have a dictionary of synonymous terms. To simplify its using is objective of our experiment. We propose the method that realize the lexical approach and provide the detecting all synonyms in a single text and visualize the results directly in the text. The results depend on the completeness of the lexical source. But it is a bottleneck problem of most of thesaurus.
dc.identifier.citationPolityuk A. Semantic similarity detection in a single text / Anna Polityuk, Olena Orobinska // 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. 238–239. – URL: https://colins.in.ua/wp-content/uploads/2020/06/preface_colins_volume2_2020_part6.pdf (дата звернення: 08.11.2022). – Bibliography: 3 titles.
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/57073
dc.language.isoen
dc.publisherонлайн
dc.subjectSemantic similarity, Synonymy, Semantic Closeness, Proximity Metric, Thesaurus
dc.titleSemantic similarity detection in a single text
dc.typeConference Abstract

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