User preference choices for complex question answering

  • Authors:
  • Mingfang Wu;Falk Scholer;Andrew Turpin

  • Affiliations:
  • RMIT University, Melbourne, Australia;RMIT University, Melbourne, Australia;RMIT University, Melbourne, Australia

  • Venue:
  • Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
  • Year:
  • 2008

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Abstract

Question answering systems increasingly need to deal with complex information needs that require more than simple factoid answers. The evaluation of such systems is usually carried out using precision- or recall-based system performance metrics. Previous work has demonstrated that when users are shown two search result lists side-by-side, they can reliably differentiate between the qualities of the lists. We investigate the consistency between this user-based approach and system-oriented metrics in the question answering environment. Our initial results indicate that the two methodologies show a high level of disagreement.