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2000

Query-Relevant Summarization using FAQs

13 years 5 months ago
Query-Relevant Summarization using FAQs
This paper introduces a statistical model for query-relevant summarization: succinctly characterizing the relevance of a document to a query. Learning parameter values for the proposed model requires a large collection of summarized documents, which we do not have, but as a proxy, we use a collection of FAQ (frequently-asked question) documents. Taking a learning approach enables a principled, quantitative evaluation of the proposed system, and the results of some initial experiments--on a collection of Usenet FAQs and on a FAQ-like set of customer-submitted questions to several large retail companies--suggest the plausibility of learning for summarization.
Adam L. Berger, Vibhu O. Mittal
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2000
Where ACL
Authors Adam L. Berger, Vibhu O. Mittal
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