Ferrández Escámez, Óscar, Micol Ponce, Daniel, Muñoz, Rafael, Palomar, Manuel
A perspective-based approach for solving textual entailment recognition
FERRÁNDEZ ESCÁMEZ, Óscar, et al. "A perspective-based approach for solving textual entailment recognition". En: Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing : June 28-29, 2007, Prague, Czech Republic. Stroudsburg, PA : Association for Computational Linguistics, 2007, pp. 66-71
URI: http://hdl.handle.net/10045/2523
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Abstract: 
The textual entailment recognition system that we discuss in this paper represents a perspective-based approach composed of two modules that analyze text-hypothesis pairs from a strictly lexical and syntactic perspectives, respectively. We attempt to prove that the textual entailment recognition task can be overcome by performing individual analysis that acknowledges us of the maximum amount of information that each single perspective can provide. We compare this approach with the system we presented in the previous edition of PASCAL Recognising Textual Entailment Challenge, obtaining an accuracy rate 17.98% higher.
Keywords:Textual entailment, Paraphrasing, PLN, Semantic analysis, Syntactic analysis, Lexical analysis
Association for Computational Linguistics
info:eu-repo/semantics/article