Relevance measures for question answering, the LIA at QA@CLEF-2006

  • Authors:
  • Laurent Gillard;Laurianne Sitbon;Eric Blaudez;Patrice Bellot;Marc El-Bèze

  • Affiliations:
  • LIA, Avignon University Science Laboratory, Avignon Cedex 9, France;LIA, Avignon University Science Laboratory, Avignon Cedex 9, France;LIA, Avignon University Science Laboratory, Avignon Cedex 9, France;LIA, Avignon University Science Laboratory, Avignon Cedex 9, France;LIA, Avignon University Science Laboratory, Avignon Cedex 9, France

  • Venue:
  • CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

This article presents the first participation of the Avignon University Science Laboratory (LIA) to the Cross Language Evaluation Forum (CLEF). LIA participated to the monolingual Question Answering (QA) track dedicated to the French language, and to the cross-lingual English to French QA track. After a description of the strategies used by our system to answer questions, an analysis of the results obtained is done in order to discuss and outline possible improvements. Two strategies were used: for factoid questions, answer candidates are identified as Named Entities and selected by using key terms density measures ("compactness"); on the other hand, for definition questions, our approach is based on detection of frequent appositive informational nuggets appearing near the focus.