DLSITE-1: Lexical Analysis for Solving Textual Entailment Recognition

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DLSITE-1: Lexical Analysis for Solving Textual Entailment Recognition
This paper discusses the recognition of textual entailment in a text-hypothesis pair by applying a wide variety of lexical measures. We consider that the entailment phenomenon can be tackled from three general levels: lexical, syntactic and semantic. The main goals of this research are to deal with this phenomenon from a lexical point of view, and achieve high results considering only such kind of knowledge. 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. A study of the most relevant features and a comparison with the best state-of-the-art textual entailment systems is exposed throughout the paper. Finally, the system has been evaluated using the Second PASCAL Recognising Textual Entailment Challenge
Óscar Ferrández, Daniel Micol, Rafae
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where NLDB
Authors Óscar Ferrández, Daniel Micol, Rafael Muñoz, Manuel Palomar
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