Geodesic
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

Voir la notice de l'article provenant de la source Math-Net.Ru

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. 
@article{VSPUI_2019_15_2_a6,
     author = {A. Silva and A. Lozkins and L. R. Bertoldi and S. Rigo and V. M. Bure},
     title = {Semantic {Textual} {Similarity} on {Brazilian} {Portuguese:} {An} approach based on language-mixture models},
     journal = {Vestnik Sankt-Peterburgskogo universiteta. Prikladna\^a matematika, informatika, processy upravleni\^a},
     pages = {235--244},
     publisher = {mathdoc},
     volume = {15},
     number = {2},
     year = {2019},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/VSPUI_2019_15_2_a6/}
}
TY  - JOUR
AU  - A. Silva
AU  - A. Lozkins
AU  - L. R. Bertoldi
AU  - S. Rigo
AU  - V. M. Bure
TI  - Semantic Textual Similarity on Brazilian Portuguese: An approach based on language-mixture models
JO  - Vestnik Sankt-Peterburgskogo universiteta. Prikladnaâ matematika, informatika, processy upravleniâ
PY  - 2019
SP  - 235
EP  - 244
VL  - 15
IS  - 2
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/VSPUI_2019_15_2_a6/
LA  - en
ID  - VSPUI_2019_15_2_a6
ER  - 
%0 Journal Article
%A A. Silva
%A A. Lozkins
%A L. R. Bertoldi
%A S. Rigo
%A V. M. Bure
%T Semantic Textual Similarity on Brazilian Portuguese: An approach based on language-mixture models
%J Vestnik Sankt-Peterburgskogo universiteta. Prikladnaâ matematika, informatika, processy upravleniâ
%D 2019
%P 235-244
%V 15
%N 2
%I mathdoc
%U http://geodesic.mathdoc.fr/item/VSPUI_2019_15_2_a6/
%G en
%F VSPUI_2019_15_2_a6
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/