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

• Type: Conference
• Year: 2007
• Where: NLDB
• Authors: Óscar Ferrández, Daniel Micol, Rafael Muñoz, Manuel Palomar
• Keywords: Entailment, Information System, Lexical Measures, NLDB 2007, Textual Entailment