Answering questions with an n-gram based passage retrieval engine

  • Authors:
  • Davide Buscaldi;Paolo Rosso;José Manuel Gómez-Soriano;Emilio Sanchis

  • Affiliations:
  • ELiRF Research Group - Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Valencia, Spain;ELiRF Research Group - Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Valencia, Spain;GPLSI Research Group - Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, Alicante, Spain;ELiRF Research Group - Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Valencia, Spain

  • Venue:
  • Journal of Intelligent Information Systems
  • Year:
  • 2010

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Abstract

In this paper, we present a Question Answering system based on redundancy and a Passage Retrieval method that is specifically oriented to Question Answering. We suppose that in a large enough document collection the answer to a given question may appear in several different forms. Therefore, it is possible to find one or more sentences that contain the answer and that also include tokens from the original question. The Passage Retrieval engine is almost language-independent since it is based on n-gram structures. Question classification and answer extraction modules are based on shallow patterns.