Snip!

  • Andrew Trotman
  • Matt Crane
Conference paper

DOI: 10.1007/978-3-642-35734-3_26

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7424)
Cite this paper as:
Trotman A., Crane M. (2012) Snip!. 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

Abstract

The University of Otago submitted runs to the Snippet Retrieval Track and the Relevance Feedback tracks at INEX 2011. Snippets were generated using vector space ranking functions, taking into account or ignoring structural hints, and using word clouds. We found that using passages made better snippets than XML elements and that word clouds make bad snippets. In our runs in the Relevance Feedback track we were testing the INEX gateway to C/C++ and blind relevance feedback (with and without stemming). We found that blind relevance feedback with stemming does improve prevision in the INEX framework.

Keywords

Wikipedia Snippet Generation Procrastination 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Andrew Trotman
    • 1
  • Matt Crane
    • 1
  1. 1.Department of Computer ScienceUniversity of OtagoDunedinNew Zealand

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