Centroid-based summarization of multiple documents
Information Processing & ManagementPublished 16 December 2003
Dragomir Radev, Hongyan Jing, Małgorzata E. Styś, Daniel Tam
Citations1,043
SJR quartileQ1
SJR score2.06
SNIP2.91
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TL;DR
A multi-document summarizer, MEAD, is presented, which generates summaries using cluster centroids produced by a topic detection and tracking system and an evaluation scheme based on sentence utility and subsumption is applied.
Abstract
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.
Keywords
Computer Science
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