https://oldena.lpnu.ua/handle/ntb/52144| Title: | Semantic Similarity Detection in a Single Text |
| Authors: | Polityuk, Anna Orobinska, Olena |
| Affiliation: | National Technical University "Kharkiv Polytechnic Institute" |
| Bibliographic description (Ukraine): | Polityuk A. Semantic Similarity Detection in a Single Text / Anna Polityuk, Olena Orobinska // Computational linguistics and intelligent systems : proceedings of the 4nd International conference, 23-24 April 2020, Lviv, Ukraine. — Lviv : Lviv Politechnic Publishing House, 2020. — Vol 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine April 23-24, 2020. — P. 238–239. — (Intelligent Systems). |
| Bibliographic description (International): | Polityuk A. Semantic Similarity Detection in a Single Text / Anna Polityuk, Olena Orobinska // Computational linguistics and intelligent systems : proceedings of the 4nd International conference, 23-24 April 2020, Lviv, Ukraine. — Lviv : Lviv Politechnic Publishing House, 2020. — Vol 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine April 23-24, 2020. — P. 238–239. — (Intelligent Systems). |
| Is part of: | Computational linguistics and intelligent systems : proceedings of the 4nd International conference (2), 2020 |
| Issue Date: | 23-Apr-2020 |
| Publisher: | Видавництво Львівської політехніки Lviv Politechnic Publishing House |
| Place of the edition/event: | Львів Lviv |
| Temporal Coverage: | 23-24 April 2020, Lviv, Ukraine |
| Keywords: | Semantic similarity Synonymy Semantic Closeness Proximity Metric Thesaurus |
| Number of pages: | 2 |
| Page range: | 238-239 |
| Start page: | 238 |
| End page: | 239 |
| 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. |
| URI: | https://ena.lpnu.ua/handle/ntb/52144 |
| ISSN: | 2523-4013 |
| Copyright owner: | © Національний університет “Львівська політехніка”, 2020 |
| References (Ukraine): | 1. Erbs, Nicolai & Gurevych, Iryna & Zesch, Torsten. (2014). Sense and Similarity: A Study of Sense-level Similarity Measures. 30-39. 10.3115/v1/S14-1004. 2. Suleymanov A.Sh. The semantic analysis and indexing. International Advanced Texnologies, Ankara/ Turkey, 2003. 3. Alexander Budanitsky and Graeme Hirst. 2006. Evaluating WordNet-based Measures of Lexical Semantic Relat. |
| References (International): | 1. Erbs, Nicolai & Gurevych, Iryna & Zesch, Torsten. (2014). Sense and Similarity: A Study of Sense-level Similarity Measures. 30-39. 10.3115/v1/S14-1004. 2. Suleymanov A.Sh. The semantic analysis and indexing. International Advanced Texnologies, Ankara/ Turkey, 2003. 3. Alexander Budanitsky and Graeme Hirst. 2006. Evaluating WordNet-based Measures of Lexical Semantic Relat. |
| Content type: | Article |
| Appears in Collections: | Computational linguistics and intelligent systems. – 2020 р. |
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2020v2_Polityuk_A-Semantic_Similarity_Detection_238-239.pdf | 377.96 kB | Adobe PDF | View/Open | |
| 2020v2_Polityuk_A-Semantic_Similarity_Detection_238-239__COVER.png | 279.34 kB | image/png | View/Open |
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