A bag-of-words based ranking method for the wikipedia question answering task

  • Authors:
  • Davide Buscaldi;Paolo Rosso

  • Affiliations:
  • Dpto. de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Spain;Dpto. de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Spain

  • Venue:
  • CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
  • Year:
  • 2006

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Abstract

This paper presents a simple approach to the Wikipedia Question Answering pilot task in CLEF 2006. The approach ranks the snippets, retrieved using the Lucene search engine, by means of a similarity measure based on bags of words extracted from both the snippets and the articles in wikipedia. Our participation was in the monolingual English and Spanish tasks. We obtained the best results in the Spanish one.