miraQA: Experiments with Learning Answer Context Patterns from the Web

  • César de Pablo-Sánchez
  • José Luis Martínez-Fernández
  • Paloma Martínez
  • Julio Villena
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3491)

Abstract

We present the miraQA system which is MIRACLE’s first experience in Question Answering for monolingual Spanish. The general architecture of the system developed for QA@CLEF 2004 is presented as well as evaluation results. miraQA characterizes by learning the rules for answer extraction from the Web using a Hidden Markov Model of the context in which answers appear. We used a supervised approach that uses questions and answers from last years evaluation set for training.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • César de Pablo-Sánchez
    • 1
  • José Luis Martínez-Fernández
    • 1
  • Paloma Martínez
    • 1
  • Julio Villena
    • 2
  1. 1.Advanced Databases Group, Computer Science DepartmentUniversidad Carlos III de MadridLeganés , MadridSpain
  2. 2.Centro de Empresas “La Arboleda”DAEDALUS – Data, Decisions and Language S.A.MadridSpain

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