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IBQAst: A Question Answering System for Text Transcriptions

  • María Pardiño
  • José M. Gómez
  • Héctor Llorens
  • Rafael Muñoz-Terol
  • Borja Navarro-Colorado
  • Estela Saquete
  • Patricio Martínez-Barco
  • Paloma Moreda
  • Manuel Palomar
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5706)

Abstract

This paper shows the results of adapting a modular domain English QA system (called IBQAS, whose initials correspond to Interchangeable Blocks Question Answering System) to work with both manual and automatic text transcriptions. This system provides a generic and modular framework using an approach based on the recognition of named entities as a method of extracting answers.

Keywords

Semantic Role Question Answering Factual Question Question Answering System Modular Framework 
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 2009

Authors and Affiliations

  • María Pardiño
    • 1
  • José M. Gómez
    • 1
  • Héctor Llorens
    • 1
  • Rafael Muñoz-Terol
    • 1
  • Borja Navarro-Colorado
    • 1
  • Estela Saquete
    • 1
  • Patricio Martínez-Barco
    • 1
  • Paloma Moreda
    • 1
  • Manuel Palomar
    • 1
  1. 1.Natural Language Processing and Information Systems Group, Department of Software and Computing SystemsUniversity of AlicanteSpain

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