Semantic Similarity Detection in a Single Text

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dc.contributor.authorPolityuk, Anna
dc.contributor.authorOrobinska, Olena
dc.date.accessioned2024-02-15T18:49:22Z
dc.date.available2024-02-15T18:49:22Z
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 [Electronic resource] / A. Polityuk, O. Orobinska // Computational Linguistics and Intelligent Systems (COLINS 2020) : proc. of the 4th Intern. Conf., April 23-24, 2020. Vol. 2. – Electronic text data. – Lviv, 2020. – P. 238-239. – Access mode: https://colins.in.ua/wp-content/uploads/2020/06/preface_colins_volume2_2020_part6.pdf, free (date of the application 15.02.2024.).
dc.identifier.orcidhttps://orcid.org/0000-0001-8396-4136
dc.identifier.urihttps://repository.kpi.kharkov.ua/handle/KhPI-Press/74152
dc.language.isoen
dc.subjectsemantic similarity
dc.subjectsynonymy
dc.subjectsemantic closeness
dc.subjectproximity metric
dc.subjectthesaurus
dc.subjectsingle text
dc.titleSemantic Similarity Detection in a Single Text
dc.typeArticle

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