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An Ad Hoc Information Retrieval Perspective on PLSI through Language Model Identification

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Advances in Information Retrieval Theory (ICTIR 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5766))

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Abstract

This paper proposes a new document–query similarity for PLSI that allows queries to be used in PLSI without folding-in. We compare this similarity to Fisher kernels, the state-of-the-art approach for PLSI, on a corpus of 1M+ word occurrences coming from TREC–AP.

The hereby described work has been supported by the Swiss National Science Foundation doctoral grants #200021-111817 and #200020-119745.

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Author information

Authors and Affiliations

  1. School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne, CH-1015, Lausanne, Switzerland

    Jean-Cédric Chappelier & Emmanuel Eckard

Authors
  1. Jean-Cédric Chappelier
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  2. Emmanuel Eckard
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Editor information

Editors and Affiliations

  1. Department of Computing Science, Sir Alwyn Williams Building, Lilybank Gardens, University of Glasgow, G12 8QQ, Glasgow, Scotland, UK

    Leif Azzopardi

  2. Microsoft Research Ltd, 7 JJ Thomson Avenue, CB3 0FB, Cambridge, UK

    Gabriella Kazai  & Stephen Robertson  & 

  3. Knowledge Media Institute,, The Open University, MK7 6AA, Milton Keynes, UK

    Stefan Rüger

  4. Microsoft Research Ltd, 7 JJ Thomson Avenue, CB3 0FB, Cambridge, United Kingdom

    Milad Shokouhi  & Emine Yilmaz  & 

  5. School of Computing, The Robert Gordon University, St Andrew Street, AB25 1HG, Aberdeen, UK

    Dawei Song

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© 2009 Springer-Verlag Berlin Heidelberg

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Chappelier, JC., Eckard, E. (2009). An Ad Hoc Information Retrieval Perspective on PLSI through Language Model Identification. In: Azzopardi, L., et al. Advances in Information Retrieval Theory. ICTIR 2009. Lecture Notes in Computer Science, vol 5766. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04417-5_36

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  • DOI: https://doi.org/10.1007/978-3-642-04417-5_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04416-8

  • Online ISBN: 978-3-642-04417-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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