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LIA at the INEX 2011 QA Track: Querying and Summarizing with XML

  • Conference paper
Focused Retrieval of Content and Structure (INEX 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7424))

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Abstract

This paper describes our participation in the INEX 2011 Question Answering track. There several ways to answer to this track, the aim is using XML meta-data in the summarizing process. First, words occurrence probabilities are computed using a fielded language modeling approach within different document fields. Then summaries are made with sentences extracted from previously retrieved documents. These sentences are ranked according to different XML-related features as well as a term-frequency based measure.

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References

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Authors and Affiliations

  1. LIA, Université d Avignon et des Pays de Vaucluse, France

    Killian Janod & Olivier Mistral

Authors
  1. Killian Janod
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  2. Olivier Mistral
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Editor information

Editors and Affiliations

  1. Faculty of Science and Technology, Queensland University of Technology (QUT), PO Box 2434, 4001, Brisbane, QLD, Australia

    Shlomo Geva

  2. Archives and Information Studies/Humanities, University of Amsterdam, Turfdraagsterpad 9, 1012XT, Amsterdam, The Netherlands

    Jaap Kamps

  3. Cluster of Excellence, , , Multimodal Computing and Interaction Cluster of Excellence, Multimodal Computing and Interaction, Saarland University, Campus E1, 66123, Saarbrücken, Germany

    Ralf Schenkel

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© 2012 Springer-Verlag Berlin Heidelberg

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Janod, K., Mistral, O. (2012). LIA at the INEX 2011 QA Track: Querying and Summarizing with XML. In: Geva, S., Kamps, J., Schenkel, R. (eds) Focused Retrieval of Content and Structure. INEX 2011. Lecture Notes in Computer Science, vol 7424. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35734-3_21

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  • DOI: https://doi.org/10.1007/978-3-642-35734-3_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35733-6

  • Online ISBN: 978-3-642-35734-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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