Centroid-based summarization of multiple documents
Centroid-based summarization of multiple documents
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DOI：
10.1016/j.ipm.2003.10.006
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发表时间：
2004-11-01
影响因子：
8.6
通讯作者：
Tam, D
中科院分区：
文献类型：
--
作者：
Radev, DR;Jing, HY;Tam, D
我们提出了一个多文档摘要器 MEAD，它使用主题检测和跟踪系统生成的聚类质心生成摘要。我们描述了两种新技术，一种基于质心的摘要器，以及一种基于句子效用和包含的评估方案。我们已将此评估应用于单个和多个文档摘要。最后，我们描述了两项测试我们的多文档摘要模型的用户研究。 (C) 2003 Elsevier Ltd. 保留所有权利。
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.