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Cross Lingual Question Answering Using QRISTAL for CLEF 2006

  • Dominique Laurent
  • Patrick Séguéla
  • Sophie Nègre
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4730)

Abstract

QRISTAL [9] is a question answering system making intensive use of natural language processing both for indexing documents and extracting answers. It ranked first in the EQueR evaluation campaign (Evalda, Technolangue [3]) and in CLEF 2005 for monolingual task (French-French) and multilingual task (English-French and Portuguese-French). This article describes the improvements of the system since last year. Then, it presents our benchmarked results for the CLEF 2006 campaign and a critical description of the system. Since Synapse Développement is participating to Quaero project, QRISTAL is most likely to be integrated in a mass market search engine in the forthcoming years.

Keywords

Question Type Question Answering Language Module Indexing Document Linguistic Module 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Dominique Laurent
    • 1
  • Patrick Séguéla
    • 1
  • Sophie Nègre
    • 1
  1. 1.Synapse Développement, 33 rue Maynard, 31000 ToulouseFrance

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