RuThes Thesaurus in Detecting Russian Paraphrases
| Autor: | Natalia V. Loukachevitch, Boris V. Dobrov, Valerie A. Mozharova, A. A. Pavlov, Aleksandr Shevelev |
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| Rok vydání: | 2017 |
| Předmět: |
Thesaurus (information retrieval)
business.industry Computer science WordNet 02 engineering and technology computer.software_genre Semantic similarity 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence Rewriting business Cluster analysis computer Natural language processing |
| Zdroj: | Communications in Computer and Information Science ISBN: 9783319717456 |
| DOI: | 10.1007/978-3-319-71746-3_20 |
| Popis: | In this paper we study the contribution of semantic features to the detection of Russian paraphrases. The features were calculated on the Russian Thesaurus RuThes. First, we applied RuThes synonyms in clustering news articles, many of which had been created with rewriting (that is paraphrasing) of source news, and found significant improvement. Second, we applied several semantic similarity measures proposed for English thesaurus WordNet to RuThes thesaurus and utilized them for detecting Russian paraphrased sentences. |
| Databáze: | OpenAIRE |
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