Experiment on combining sources of evidence for passage retrieval

  • Authors:
  • Alexander Gelbukh;NamO Kang;SangYong Han

  • Affiliations:
  • National Polytechnic Institute, Mexico;Chung-Ang University, Korea;Chung-Ang University, Korea

  • Venue:
  • CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
  • Year:
  • 2005

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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.