Journal
INFORMATION PROCESSING & MANAGEMENT
Volume 40, Issue 6, Pages 919-938Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.ipm.2003.10.006
Keywords
multi-document summarization; centroid-based summarization; cluster-based relative utility; cross-sentence informational subsumption
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We present a multi-document summarizer, MEAD, which generates summaries using cluster centroids produced by a topic detection and tracking system. We describe two new techniques, a centroid-based summarizer, and an evaluation scheme based on sentence utility and subsumption. We have applied this evaluation to both single and multiple document summaries. Finally, we describe two user studies that test our models of multi-document summarization. (C) 2003 Elsevier Ltd. All rights reserved.
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