Experiment on Combining Sources of Evidence for Passage Retrieval
- 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
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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