Semi-automatic construction of a textual entailment dataset: selecting candidates with Vector Space Models (2015)
- Authors:
- USP affiliated author: ALUISIO, SANDRA MARIA - ICMC
- School: ICMC
- Subjects: INTELIGÊNCIA ARTIFICIAL; PROCESSAMENTO DE LINGUAGEM NATURAL
- Language: Inglês
- Imprenta:
- Publisher: SBC
- Place of publication: Porto Alegre
- Date published: 2015
- Source:
- Título do periódico: Proceedings
- Conference title: Brazilian Symposium in Information and Human Language Technology - STIL
-
ABNT
FONSECA, Erick R; ALUISIO, Sandra Maria. Semi-automatic construction of a textual entailment dataset: selecting candidates with Vector Space Models. Anais.. Porto Alegre: SBC, 2015. -
APA
Fonseca, E. R., & Aluisio, S. M. (2015). Semi-automatic construction of a textual entailment dataset: selecting candidates with Vector Space Models. In Proceedings. Porto Alegre: SBC. -
NLM
Fonseca ER, Aluisio SM. Semi-automatic construction of a textual entailment dataset: selecting candidates with Vector Space Models. Proceedings. 2015 ; -
Vancouver
Fonseca ER, Aluisio SM. Semi-automatic construction of a textual entailment dataset: selecting candidates with Vector Space Models. Proceedings. 2015 ; - An account of the challenge of tagging a reference corpus for brazilian portuguese
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- Identifying pronomial verbs: towards automatic disambiguation of the clitic se in portuguese
- Revisiting the readability assessment of texts in portuguese
- Espanhol-acadêmico-BR: um córpus de aprendizes de português acadêmico produzido por nativos de espanhol
- Listener: a pronunciation training system for Brazilian-accented English
- SIMPLEX-PB: a lexical simplification database and benchmark for portuguese
- Automatic question categorization: a new approach for text elaboration
- Assigning Wh-questions to verbal arguments: annotation tools evaluation and corpus building
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