Semantic Similarity Detection in a Single Text
| dc.contributor.author | Polityuk, Anna | |
| dc.contributor.author | Orobinska, Olena | |
| dc.date.accessioned | 2024-02-15T18:49:22Z | |
| dc.date.available | 2024-02-15T18:49:22Z | |
| 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 [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.orcid | https://orcid.org/0000-0001-8396-4136 | |
| dc.identifier.uri | https://repository.kpi.kharkov.ua/handle/KhPI-Press/74152 | |
| dc.language.iso | en | |
| dc.subject | semantic similarity | |
| dc.subject | synonymy | |
| dc.subject | semantic closeness | |
| dc.subject | proximity metric | |
| dc.subject | thesaurus | |
| dc.subject | single text | |
| dc.title | Semantic Similarity Detection in a Single Text | |
| dc.type | Article |