Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Pedro Paulo Balage Filho"'
Autor:
Marco Antonio Sobrevilla Cabezudo, Erick Galani Maziero, Jackson Wilke da Cruz Souza, Márcio de Souza Dias, Paula Christina Figueira Cardoso, Pedro Paulo Balage Filho, Verônica Agostini, Fernando Antônio Asevedo Nóbrega, Cláudia Dias de Barros, Ariani Di Felippo, Thiago Alexandre Salgueiro Pardo
Publikováno v:
Revista de Estudos da Linguagem, Vol 23, Iss 3, Pp 797-832 (2015)
Um dos problemas mais difíceis de serem tratados no Processamento de Linguagem Natural (PLN) é a ambiguidade lexical, pois as palavras podem expressar sentidos distintos de acordo com o contexto no qual elas ocorrem. Em PLN, a tarefa responsável p
Externí odkaz:
https://doaj.org/article/6738798d48f1455d8c7aaa629436b038
Autor:
Pedro Paulo Balage Filho
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USPUniversidade de São PauloUSP.
Aspect-based sentiment analysis is the field of study which extracts and interpret the sentiment, usually classified as positive or negative, towards some target or aspect in an opinionated text. This doctoral dissertation details an empirical study
Autor:
Alessandro Y. Bokan, Andressa C. Inácio Zacarias, J. C. Souza, Eloize M. Seno, Pedro Paulo Balage Filho, Ariani Di Felippo, Marco Antonio Sobrevilla Cabezudo, Fernando Antônio Asevedo Nóbrega, Thiago Alexandre Salgueiro Pardo, Lucas Avanço, Roque López, Paula Christina Figueira Cardoso, Marcio Vinicius Bertacine Dias
Publikováno v:
LAW@NAACL-HLT
Aspect-based opinion summarization is the task of automatically generating a summary for some aspects of a specific topic from a set of opinions. In most cases, to evaluate the quality of the automatic summaries, it is necessary to have a reference c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe1ed41034ef695e3de23304ce2b39a7
https://doi.org/10.3115/v1/w15-1607
https://doi.org/10.3115/v1/w15-1607
Publikováno v:
SemEval@COLING
This paper details the system NILC USP that participated in the Semeval 2014: Aspect Based Sentiment Analysis task. This system uses a Conditional Random Field (CRF) algorithm for extracting the aspects mentioned in the text. Our work added semantic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::401911aa6ee54034e42cd678d5171576
https://doi.org/10.3115/v1/s14-2075
https://doi.org/10.3115/v1/s14-2075
Autor:
Pedro Paulo Balage Filho, Thiago Alexandre Salgueiro Pardo, Lucas Avanço, Maria das Graças Volpe Nunes
Publikováno v:
SemEval@COLING
This paper describes the NILC USP system that participated in SemEval-2014 Task 9: Sentiment Analysis in Twitter, a re-run of the SemEval 2013 task under the same name. Our system is an improved version of the system that participated in the 2013 tas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9eb079543753bcf9bbe9465a45318c5
https://doi.org/10.3115/v1/s14-2074
https://doi.org/10.3115/v1/s14-2074
Autor:
Pedro Paulo Balage Filho, Thiago Alexandre Salgueiro Pardo, Vinícius Rodrigues de Uzêda, Maria das Graças Volpe Nunes
Publikováno v:
Evaluation of Multilingual and Multi-modal Information Retrieval ISBN: 9783540749981
CLEF
CLEF
In this paper, we present and analyze the results of the application of a text summarization system - GistSumm - to the task of monolingual question answering at CLEF 2006 for Portuguese texts. We hypothesized that topicoriented summarization techniq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef5a62956be8a914188ce52600d1eaf2
https://doi.org/10.1007/978-3-540-74999-8_44
https://doi.org/10.1007/978-3-540-74999-8_44
Autor:
Verônica Agostini, Thiago Alexandre Salgueiro Pardo, Erick Galani Maziero, Marco Antonio Sobrevilla Cabezudo, Ariani Di Felippo, Fernando Antônio Asevedo Nóbrega, Pedro Paulo Balage Filho, Márcio de Souza Dias, Paula Christina Figueira Cardoso, J. C. Souza, Cláudia Dias de Barros
Publikováno v:
Revista de Estudos da Linguagem, Vol 23, Iss 3, Pp 797-832 (2015)
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Resumo : Um dos problemas mais dificeis de serem tratados no Processamento de Linguagem Natural (PLN) e a ambiguidade lexical, pois as palavras podem expressar sentidos distintos de acordo com o contexto no qual elas ocorrem. Em PLN, a tarefa respons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc35e8f9ceeb93cc068be62bf0a9cf7d
https://doi.org/10.17851/2237-2083.23.3.797-832
https://doi.org/10.17851/2237-2083.23.3.797-832