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Experiment on Combining Sources of Evidence for Passage Retrieval

  • Alexander Gelbukh
  • NamO Kang
  • SangYong Han
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.

Keywords

Word Sense Disambiguation Anaphora Resolution Irrelevant Word Candidate Text Passage Retrieval 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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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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