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Improving Question Answering Using Named Entity Recognition

  • Antonio Toral
  • Elisa Noguera
  • Fernando Llopis
  • Rafael Muñoz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3513)

Abstract

This paper studies the use of Named Entity Recognition (NER) for the Question Anwering (QA) task in Spanish texts. NER applied as a preprocessing step not only helps to detect the answer to the question but also decreases the amount of data to be considered by QA. Our proposal reduces a 26% the quantity of data and moreover increases a 9% the efficiency of the system.

Keywords

Entity Type Query Term Question Answering Name Entity Recognition Entity Recognition 
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 2005

Authors and Affiliations

  • Antonio Toral
    • 1
  • Elisa Noguera
    • 1
  • Fernando Llopis
    • 1
  • Rafael Muñoz
    • 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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