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Analysing Natural Language Queries at INEX 2004

  • Conference paper
Advances in XML Information Retrieval (INEX 2004)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3493))

Abstract

This article presents the contribution of the “École Nationale Supérieure des Mines de Saint-Etienne (France)” to the new Natural Language Processing special Track of the third Initiative for Evaluation of XML Retrieval (INEX 2004). It discusses the place of NLP in XML retrieval and presents a method to analyse natural language queries.

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Author information

Authors and Affiliations

  1. École Nationale Supérieure des Mines de Saint-Etienne, 158 Cours Fauriel, F-42023, Saint-Etienne, France

    Xavier Tannier, Jean-Jacques Girardot & Mihaela Mathieu

Authors
  1. Xavier Tannier
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  2. Jean-Jacques Girardot
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  3. Mihaela Mathieu
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Editor information

Editors and Affiliations

  1. University of Duisburg-Essen, Duisburg, Germany

    Norbert Fuhr

  2. Queen Mary, University of London, London, UK

    Mounia Lalmas

  3. University Duisburg-Essen, Germany

    Saadia Malik

  4. Computer and Automation Research Institute, Hungarian Academy of Sciences, Kende u. 13-17, H-1111, Budapest, Hungary

    Zoltán Szlávik

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© 2005 Springer-Verlag Berlin Heidelberg

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Tannier, X., Girardot, JJ., Mathieu, M. (2005). Analysing Natural Language Queries at INEX 2004. In: Fuhr, N., Lalmas, M., Malik, S., Szlávik, Z. (eds) Advances in XML Information Retrieval. INEX 2004. Lecture Notes in Computer Science, vol 3493. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424550_32

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  • DOI: https://doi.org/10.1007/11424550_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26166-7

  • Online ISBN: 978-3-540-32053-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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