The Bilingual System MUSCLEF at QA@CLEF 2006

Authors:
Brigitte Grau;Anne-Laure Ligozat;Isabelle Robba;Anne Vilnat;Michael Bagur;Kevin Séjourné
Affiliations:
LIR group, LIMSI-CNRS, BP 133 F-91403 Orsay Cedex, France;LIR group, LIMSI-CNRS, BP 133 F-91403 Orsay Cedex, France;LIR group, LIMSI-CNRS, BP 133 F-91403 Orsay Cedex, France;LIR group, LIMSI-CNRS, BP 133 F-91403 Orsay Cedex, France;LIR group, LIMSI-CNRS, BP 133 F-91403 Orsay Cedex, France;LIR group, LIMSI-CNRS, BP 133 F-91403 Orsay Cedex, France
Venue:
Evaluation of Multilingual and Multi-modal Information Retrieval
Year:
2007

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Exploiting Wikipedia and EuroWordNet to solve Cross-Lingual Question Answering

Information Sciences: an International Journal

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Abstract

This paper presents our bilingual question answering system MUSCLEF. We underline the difficulties encountered when shifting from a mono to a cross-lingual system, then we focus on the evaluation of three modules of MUSCLEF: question analysis, answer extraction and answer fusion. We finally present how we re-used different modules of MUSCLEF to participate in AVE (Answer Validation Exercise).