B. Wagle
EJOR
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.
B. Wagle
EJOR
Indranil R. Bardhan, Sugato Bagchi, et al.
JMIS
Alessandro Morari, Roberto Gioiosa, et al.
IPDPS 2011
Robert E. Donovan
INTERSPEECH - Eurospeech 2001