Conference paper
An Arabic Slot Grammar parser
Michael C. McCord, Violetta Cavalli-Sforza
ACL 2007
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.
Michael C. McCord, Violetta Cavalli-Sforza
ACL 2007
S.F. Fan, W.B. Yun, et al.
Proceedings of SPIE 1989
Hang-Yip Liu, Steffen Schulze, et al.
Proceedings of SPIE - The International Society for Optical Engineering
David A. Selby
IBM J. Res. Dev