PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Lexical Entailment for Information Retrieval
Stephane Clinchant, Cyril Goutte and Eric Gaussier
In: ECIR 2006, 10-12 Apr 2006, London, UK.


Textual Entailment has recently been proposed as an application independent task of recognising whether the meaning of one text may be inferred from another. This is potentially a key task in many NLP applications. In this contribution, we investigate the use of various lexical entailment models in Information Retrieval, using the language modelling framework. We show that lexical entailment potentially provides a significant boost in performance, similar to pseudo-relevance feedback, but at a lower computational cost. In addition, we show that the performance is relatively stable with respect to the corpus the lexical entailment measure is estimated on.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
Information Retrieval & Textual Information Access
ID Code:1450
Deposited By:Cyril Goutte
Deposited On:28 November 2005