Lixi Zhou, Jiaqing Chen, et al.
VLDB
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. © 2003 Elsevier Ltd. All rights reserved.
Lixi Zhou, Jiaqing Chen, et al.
VLDB
Robert E. Donovan
INTERSPEECH - Eurospeech 2001
Thomas M. Cheng
IT Professional
Yun Mao, Hani Jamjoom, et al.
CoNEXT 2006