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A Full Data-Driven System for Multiple Language Question Answering

  • Manuel Montes-y-Gómez
  • Luis Villaseñor-Pineda
  • Manuel Pérez-Coutiño
  • José Manuel Gómez-Soriano
  • Emilio Sanchís-Arnal
  • Paolo Rosso
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4022)

Abstract

This paper describes a full data-driven system for question answering. The system uses pattern matching and statistical techniques to identify the relevant passages as well as the candidate answers for factoid and definition questions. Since it does not consider any sophisticated linguistic analysis of questions and answers, it can be applied to different languages without requiring major adaptation changes. Experimental results on Spanish, Italian and French demonstrate that the proposed approach can be a convenient strategy for monolingual and multilingual question answering.

Keywords

Ranking Score Question Answering Uppercase Letter Extraction Pattern Linguistic Resource 
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 2006

Authors and Affiliations

  • Manuel Montes-y-Gómez
    • 1
  • Luis Villaseñor-Pineda
    • 1
  • Manuel Pérez-Coutiño
    • 1
  • José Manuel Gómez-Soriano
    • 2
  • Emilio Sanchís-Arnal
    • 2
  • Paolo Rosso
    • 2
  1. 1.Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE)Mexico
  2. 2.Universidad Politécnica de Valencia (UPV)Spain

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