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A Bag-of-Words Based Ranking Method for the Wikipedia Question Answering Task

  • Davide Buscaldi
  • Paolo Rosso
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4730)

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.

Keywords

Spanish Task Question Answering Page Title Mining Knowledge Passage Retrieval 
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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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Davide Buscaldi
    • 1
  • Paolo Rosso
    • 1
  1. 1.Dpto. de Sistemas Informáticos y Computación (DSIC), Universidad Politécnica de ValenciaSpain

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