Semantic similarity detection in a single text
dc.citation.epage | 238 | |
dc.citation.spage | 239 | |
dc.contributor.author | Polityuk Anna | |
dc.contributor.author | Orobinska Olena | |
dc.date.accessioned | 2022-11-11T07:24:12Z | |
dc.date.available | 2022-11-11T07:24:12Z | |
dc.date.issued | 2020 | |
dc.description.abstract | To 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.citation | Polityuk 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.uri | https://ena.lpnu.ua/handle/ntb/57073 | |
dc.language.iso | en | |
dc.publisher | онлайн | |
dc.subject | Semantic similarity, Synonymy, Semantic Closeness, Proximity Metric, Thesaurus | |
dc.title | Semantic similarity detection in a single text | |
dc.type | Conference Abstract |
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