Is it the right answer?: exploiting web redundancy for Answer Validation

  • Authors:
  • Bernardo Magnini;Matteo Negri;Roberto Prevete;Hristo Tanev

  • Affiliations:
  • ITC-Irst, Centro per la Ricerca Scientifica e Tecnologica;ITC-Irst, Centro per la Ricerca Scientifica e Tecnologica;ITC-Irst, Centro per la Ricerca Scientifica e Tecnologica;ITC-Irst, Centro per la Ricerca Scientifica e Tecnologica

  • Venue:
  • ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
  • Year:
  • 2002

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Abstract

Answer Validation is an emerging topic in Question Answering, where open domain systems are often required to rank huge amounts of candidate answers. We present a novel approach to answer validation based on the intuition that the amount of implicit knowledge which connects an answer to a question can be quantitatively estimated by exploiting the redundancy of Web information. Experiments carried out on the TREC-2001 judged-answer collection show that the approach achieves a high level of performance (i.e. 81% success rate). The simplicity and the efficiency of this approach make it suitable to be used as a module in Question Answering systems.