Centroid-based summarization of multiple documents |
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| Authors: | Dragomir R Radev Hongyan Jing Ma
gorzata Sty Daniel Tam |
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| Institution: | a University of Michigan, Ann Arbor, MI 48109, USA;b IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA |
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| 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. |
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| Keywords: | Multi-document summarization Centroid-based summarization Cluster-based relative utility Cross-sentence informational subsumption |
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