Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Rosa, Aiala"'
Publikováno v:
ISSN 1613-0073, TASS 2017: Workshop on Semantic Analysis at SEPLN, Sep 2017, pages 77-83
This article presents classifiers based on SVM and Convolutional Neural Networks (CNN) for the TASS 2017 challenge on tweets sentiment analysis. The classifier with the best performance in general uses a combination of SVM and CNN. The use of word em
Externí odkaz:
http://arxiv.org/abs/1710.06393
Computational Humor involves several tasks, such as humor recognition, humor generation, and humor scoring, for which it is useful to have human-curated data. In this work we present a corpus of 27,000 tweets written in Spanish and crowd-annotated by
Externí odkaz:
http://arxiv.org/abs/1710.00477
Publikováno v:
In Informatics in Medicine Unlocked 2019 15
Autor:
Chiruzzo, Luis, Castro, Santiago, Góngora, Santiago, Rosa, Aiala, Meaney, J. A., Mihalcea, Rada
Publikováno v:
Procesamiento del Lenguaje Natural; Sep2021, Vol. 67, p257-268, 12p
Publikováno v:
Lecture Notes in Computer Science
IBERAMIA 2012
IBERAMIA 2012, Nov 2012, Bahia Blanca, Argentina. pp.452-461
IBERAMIA 2012
IBERAMIA 2012, Nov 2012, Bahia Blanca, Argentina. pp.452-461
International audience; In this work we present a system for the automatic annotation of opinions in Spanish texts. We focus mainly in the definition of a TFS-style model for the predicates of opinion and their arguments, in the creation of a lexicon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f37eee6ba76ba64503ad309e6fa7d2d0
https://shs.hal.science/halshs-00785381/document
https://shs.hal.science/halshs-00785381/document
Publikováno v:
Proceedings of the Workshop on NLP and Web-based technologies. Held in conjunction
IBERAMIA 2010
IBERAMIA 2010, Nov 2010, Bahia Blanca, Argentina. pp.99,108
IBERAMIA 2010
IBERAMIA 2010, Nov 2010, Bahia Blanca, Argentina. pp.99,108
International audience; En este artículo abordamos el problema de la identificación de opiniones en textos en español y nos concentramos en la comparación de dos tipos de métodos para la extracción de la fuente: reglas desarrolladas manualmente
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::59dc12f90c5d09835edf79cf12cf5c7c
https://shs.hal.science/halshs-00785391
https://shs.hal.science/halshs-00785391
Publikováno v:
NAACL HLT 2010
NAACL HLT 2010, 2010, Los Angeles, United States. Association for Computational Linguistics, pp.54-61, 2010
NAACL HLT 2010, 2010, Los Angeles, United States. Association for Computational Linguistics, pp.54-61, 2010
International audience; We present our work on the identification of opinions and its components: the source, the topic and the message. We describe a rule-based system for which we achieved a recall of 74% and a precision of 94%. Experimentation wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c6b33e64a53a972a1364d9ee76e327ca
https://halshs.archives-ouvertes.fr/halshs-00488413/file/naaclhlt2010_RWM20100331.pdf
https://halshs.archives-ouvertes.fr/halshs-00488413/file/naaclhlt2010_RWM20100331.pdf
Publikováno v:
2012 XXXVIII Conferencia Latinoamericana En Informatica (CLEI); 1/ 1/2012, p1-8, 8p
Autor:
Rosá, Aiala
Ce travail présente une étude linguistique des expressions d'opinions issues de différentes sources dans des textes en espagnol. Le travail comprend la définition d'un modèle pour les prédicats d'opinion et leurs arguments (la source, le sujet
Externí odkaz:
http://www.theses.fr/2011PA100127