Document (#32946)

Author
Zajic, D.
Dorr, B.J.
Lin, J.
Schwartz, R.
Title
Multi-candidate reduction : sentence compression as a tool for document summarization tasks
Source
Information processing and management. 43(2007) no.6, S.1549-1570
Year
2007
Abstract
This article examines the application of two single-document sentence compression techniques to the problem of multi-document summarization-a "parse-and-trim" approach and a statistical noisy-channel approach. We introduce the multi-candidate reduction (MCR) framework for multi-document summarization, in which many compressed candidates are generated for each source sentence. These candidates are then selected for inclusion in the final summary based on a combination of static and dynamic features. Evaluations demonstrate that sentence compression is a valuable component of a larger multi-document summarization framework.
Theme
Automatisches Abstracting

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  5. Dunlavy, D.M.; O'Leary, D.P.; Conroy, J.M.; Schlesinger, J.D.: QCS: A system for querying, clustering and summarizing documents (2007) 0.23
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