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Passage Filtering for Open-Domain Question Answering

  • Elisa Noguera
  • Fernando Llopis
  • Antonio Ferrández
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4139)

Abstract

This paper studies the problem of filtering data in Passage Retrieval applied to Question Answering. Specifically, in this paper we have proved that the Mean-Value Theorem can play an important role to improve Question Answering. We have studied the way in which this theorem can be applied in order to produce a maximum data reduction without precision loss. In the experiments, we achieve a 90% data reduction without significant data loss.

Keywords

Information Retrieval Correct Answer Natural Language Processing Question Answering Question Answering System 
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

  • Elisa Noguera
    • 1
  • Fernando Llopis
    • 1
  • Antonio Ferrández
    • 1
  1. 1.Grupo de investigación en Procesamiento del Lenguaje Natural y Sistemas de Información, Departamento de Lenguajes y Sistemas InformáticosUniversity of AlicanteSpain

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