Centroid-based summarization of multiple documents

被引：520

作者：

Radev, DR ^{[1
]}

Jing, HY

Stys, M

Tam, D

机构：

[1] Univ Michigan, Ann Arbor, MI 48109 USA

[2] IBM Corp, Thomas J Watson Res Ctr, Yorktown Hts, NY 10598 USA

来源：

INFORMATION PROCESSING & MANAGEMENT | 2004年 / 40卷 / 06期

关键词：

multi-document summarization; centroid-based summarization; cluster-based relative utility; cross-sentence informational subsumption;

D O I：

10.1016/j.ipm.2003.10.006

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：919 / 938

页数：20

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