Article thumbnail

A perspective-based approach for solving textual entailment recognition

By Óscar Ferrández Escámez, Daniel Micol Ponce, Rafael Muñoz and Manuel Palomar


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.QALL-ME consortium, 6º Programa Marco, Unión Europea, referencia del proyecto FP6-IST-033860. Gobierno de España, proyecto CICyT número TIN2006-1526-C06-01. Generalitat Valenciana, proyecto ACOM06/90

Topics: Textual entailment, Paraphrasing, PLN, Semantic analysis, Syntactic analysis, Lexical analysis, Procesamiento del Lenguaje Natural
Publisher: 'Association for Computational Linguistics (ACL)'
Year: 2007
DOI identifier: 10.3115/1654536.1654551
OAI identifier:

Suggested articles

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.