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http://hdl.handle.net/11701/15957
Полная запись метаданных
Поле DC | Значение | Язык |
---|---|---|
dc.contributor.author | Silva, Allan | - |
dc.contributor.author | Lozkins, Aleksejs | - |
dc.contributor.author | Bertoldi, Luiz Ricardo | - |
dc.contributor.author | Rigo, Sandro | - |
dc.contributor.author | Bure, Vladimir M. | - |
dc.date.accessioned | 2019-07-17T12:16:13Z | - |
dc.date.available | 2019-07-17T12:16:13Z | - |
dc.date.issued | 2019-06 | - |
dc.identifier.citation | Silva A., Lozkins A., Bertoldi L. R., Rigo S., Bure V. M. Semantic Textual Similarity on Brazilian Portuguese: An approach based on language-mixture models. Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 2019, vol. 15, iss. 2, pp. 235–244. | en_GB |
dc.identifier.other | https://doi.org/10.21638/11701/spbu10.2019.207 | - |
dc.identifier.uri | http://hdl.handle.net/11701/15957 | - |
dc.description.abstract | The literature describes the Semantic Textual Similarity (STS) area as a fundamental part of many Natural Language Processing (NLP) tasks. The STS approaches are dependent on the availability of lexical-semantic resources. There are several efforts to improve the lexicalsemantics resources for the English language, and the state-of-art report a large amount of application for this language. Brazilian Portuguese linguistics resources, when compared with English ones, do not have the same availability regarding relation and contents, generation a loss of precision in STS tasks. Therefore, the current work presents an approach that combines Brazilian Portuguese and English lexical-semantics ontology resources to reach all potential of both language linguistic relations, to generate a language-mixture model to measure STS. We evaluated the proposed approach with a well-known and respected Brazilian Portuguese STS dataset, which brought to light some considerations about mixture models and their relations with ontology language semantics. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | St Petersburg State University | en_GB |
dc.relation.ispartofseries | Vestnik of St Petersburg University. Applied Mathematics. Computer Science. Control Processes;Volume 15; Issue 2 | - |
dc.subject | Semantic Textual Similarity | en_GB |
dc.subject | natural language processing | en_GB |
dc.subject | computational linguistics | en_GB |
dc.subject | ontologies | en_GB |
dc.title | Semantic Textual Similarity on Brazilian Portuguese: An approach based on language-mixture models | en_GB |
dc.type | Article | en_GB |
Располагается в коллекциях: | Issue 2 |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
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235-244.pdf | 322,33 kB | Adobe PDF | Просмотреть/Открыть |
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