Namo Kang

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Automatically recognizing in large electronic texts short selfcon-tained passages relevant for a user query is necessary for fast and accurate information access to large text archives. Surprisingly, most search engines practically do not provide any help to the user in this tedious task, just presenting a list of whole documents supposedly containing the(More)
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(More)
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