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Semantic Textual Similarity on Brazilian Portuguese: An approach based on language-mixture models
Vestnik Sankt-Peterburgskogo universiteta. Prikladnaâ matematika, informatika, processy upravleniâ, Tome 15 (2019) no. 2, pp. 235-244 Cet article a éte moissonné depuis la source Math-Net.Ru

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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 lexical-semantics 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.
Keywords: Semantic Textual Similarity, natural language processing, computational linguistics
Mots-clés : ontologies. 
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A. Silva; A. Lozkins; L. R. Bertoldi; S. Rigo; V. M. Bure. Semantic Textual Similarity on Brazilian Portuguese: An approach based on language-mixture models. Vestnik Sankt-Peterburgskogo universiteta. Prikladnaâ matematika, informatika, processy upravleniâ, Tome 15 (2019) no. 2, pp. 235-244. http://geodesic.mathdoc.fr/item/VSPUI_2019_15_2_a6/

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