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International Workshop of the Initiative for the Evaluation of XML Retrieval

INEX 2008: Advances in Focused Retrieval pp 152–163Cite as

Adhoc and Book XML Retrieval with Cheshire

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5631))

Abstract

For this year’s INEX UC Berkeley focused on the Book track and also submitted two runs for the Adhoc Focused Element search task and one for the Best in Context task. For all of these runs we used the TREC2 logistic regression probabilistic model. For the Adhoc Element runs and Best in Context runs we used the “pivot” score merging method to combine paragraph-level searches with scores for document-level searches.

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Author information

Authors and Affiliations

  1. School of Information, University of California, Berkeley, Berkeley, California, USA, 94720-4600

    Ray R. Larson

Authors
  1. Ray R. Larson
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Editor information

Editors and Affiliations

  1. Faculty of Science and Technology, Queensland University of Technology, GPO Box 2434, 4001, Brisband, Qld, Australia

    Shlomo Geva

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

    Jaap Kamps

  3. Department of Computer Science, University of Otago, P.O. Box 56, 9054, Dunedin, New Zealand

    Andrew Trotman

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© 2009 Springer-Verlag Berlin Heidelberg

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Larson, R.R. (2009). Adhoc and Book XML Retrieval with Cheshire. In: Geva, S., Kamps, J., Trotman, A. (eds) Advances in Focused Retrieval. INEX 2008. Lecture Notes in Computer Science, vol 5631. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03761-0_16

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  • DOI: https://doi.org/10.1007/978-3-642-03761-0_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03760-3

  • Online ISBN: 978-3-642-03761-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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