Experiment on Combining Sources of Evidence for Passage Retrieval

  • Alexander Gelbukh
  • NamO Kang
  • SangYong Han
Conference paper

DOI: 10.1007/978-3-540-30586-6_69

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3406)
Cite this paper as:
Gelbukh A., Kang N., Han S. (2005) Experiment on Combining Sources of Evidence for Passage Retrieval. In: Gelbukh A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2005. Lecture Notes in Computer Science, vol 3406. Springer, Berlin, Heidelberg

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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

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

Personalised recommendations