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

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Evaluation of Multilingual and Multi-modal Information Retrieval (CLEF 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4730))

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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.

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References

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Author information

Authors and Affiliations

  1. Dpto. de Sistemas Informáticos y Computación (DSIC), Universidad Politécnica de Valencia, Spain

    Davide Buscaldi & Paolo Rosso

Authors
  1. Davide Buscaldi
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  2. Paolo Rosso
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Editor information

Carol Peters Paul Clough Fredric C. Gey Jussi Karlgren Bernardo Magnini Douglas W. Oard Maarten de Rijke Maximilian Stempfhuber

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© 2007 Springer-Verlag Berlin Heidelberg

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Buscaldi, D., Rosso, P. (2007). A Bag-of-Words Based Ranking Method for the Wikipedia Question Answering Task. In: Peters, C., et al. Evaluation of Multilingual and Multi-modal Information Retrieval. CLEF 2006. Lecture Notes in Computer Science, vol 4730. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74999-8_67

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  • DOI: https://doi.org/10.1007/978-3-540-74999-8_67

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74998-1

  • Online ISBN: 978-3-540-74999-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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