Learning sentence reduction rules for brazilian portuguese (2010)
- Authors:
- Autor USP: PARDO, THIAGO ALEXANDRE SALGUEIRO - ICMC
- Unidade: ICMC
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: SciTePress
- Publisher place: Funchal
- Date published: 2010
- ISBN: 9789898425133
- Source:
- Título do periódico: Proceedings
- Conference titles: International Workshop on Natural Language Processing and Cognitive Science - NLPCS
-
ABNT
KAWAMOTO, Daniel; PARDO, Thiago Alexandre Salgueiro. Learning sentence reduction rules for brazilian portuguese. Anais.. Funchal: SciTePress, 2010.Disponível em: -
APA
Kawamoto, D., & Pardo, T. A. S. (2010). Learning sentence reduction rules for brazilian portuguese. In Proceedings. Funchal: SciTePress. Recuperado de http://www.icmc.usp.br/~taspardo/NLPCS2010-KawamotoPardo.pdf -
NLM
Kawamoto D, Pardo TAS. Learning sentence reduction rules for brazilian portuguese [Internet]. Proceedings. 2010 ;Available from: http://www.icmc.usp.br/~taspardo/NLPCS2010-KawamotoPardo.pdf -
Vancouver
Kawamoto D, Pardo TAS. Learning sentence reduction rules for brazilian portuguese [Internet]. Proceedings. 2010 ;Available from: http://www.icmc.usp.br/~taspardo/NLPCS2010-KawamotoPardo.pdf - A rule-based AMR parser for portuguese
- Alignment-based sentence position policy in a news corpus for multi-document summarization
- General purpose word sense disambiguation methods for nouns in portuguese
- Automatic aspect identification: the case of informative microaspects in news texts
- Exploratory study of word sense disambiguation methods for verbs in brazilian portuguese
- Automatização de um método de avaliação de estruturas retóricas
- Identifying multidocument relations
- Multi-document summarization: content selection based on CST Model (Cross-document Structure Theory)
- Multi-document summarization with graph metrics
- Sumarização automática multidocumento com mapas de relacionamento
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