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DLSITE-1: Lexical Analysis for Solving Textual Entailment Recognition [chapter]

Óscar Ferrández, Daniel Micol, Rafael Muñoz, Manuel Palomar
Lecture Notes in Computer Science  
This paper discusses the recognition of textual entailment in a text-hypothesis pair by applying a wide variety of lexical measures.  ...  To accomplish this, the information provided by the lexical measures is used as a set of features for a Support Vector Machine which will decide if the entailment relation is produced.  ...  The authors would like to thank the EU for the financial support and the partners within the consortium for a fruitful collaboration.  ... 
doi:10.1007/978-3-540-73351-5_25 fatcat:cx7cjnxrpfdkfmpk5pxfvvciga

A perspective-based approach for solving textual entailment recognition

Óscar Ferrández, Daniel Micol, Rafael Muñoz, Manuel Palomar
2007 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing - RTE '07   unpublished
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  ...  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  ...  In order to achieve this, we expose and analyze a wide variety of lexical measures as well as syntactic structure comparisons that attempt to solve the textual entailment recognition task.  ... 
doi:10.3115/1654536.1654551 fatcat:dcgbquaypjfmlohspbez2yrm4e