Centroid-based summarization of multiple documents

Radev, DR

doi:10.1016/j.ipm.2003.10.006

2004-11-01

625

PRE

Radev, DR

Hongyan Jing

DOI：10.1016/j.ipm.2003.10.006

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摘要

En 中文

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.

Keyword:

multi-document summarization

centroid-based summarization

cluster-based relative utility

cross-sentence informational subsumption