Experiment on Combining Sources of Evidence for Passage Retrieval

  • Alexander Gelbukh
  • NamO Kang
  • SangYong Han
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3406)

Abstract

Passage retrieval consists in identifying short but informative runs of a long text, given a specific user query. We discuss the sources of evidence that help choosing likely high-quality passages, such as relevance to the user query and self-containedness. These measures are different from the traditional information retrieval procedure due to the use of the context of the passage.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Alexander Gelbukh
    • 1
  • NamO Kang
    • 2
  • SangYong Han
    • 2
  1. 1.National Polytechnic InstituteMexico
  2. 2.Chung-Ang UniversityKorea

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