Experiment on combining sources of evidence for passage retrieval

Alexander Gelbukh, Nam O. Kang, Sangyong Han

Research output: Contribution to journalConference articlepeer-review

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.

Original languageEnglish
Pages (from-to)628-631
Number of pages4
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3406
DOIs
StatePublished - 2005
Event6th International Conference, CICLing 2005 - Mexico City, Mexico
Duration: 13 Feb 200519 Feb 2005

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