Michael Ray, Yves C. Martin
Proceedings of SPIE - The International Society for Optical Engineering
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 Ray, Yves C. Martin
Proceedings of SPIE - The International Society for Optical Engineering
Gal Badishi, Idit Keidar, et al.
IEEE TDSC
Frank R. Libsch, Takatoshi Tsujimura
Active Matrix Liquid Crystal Displays Technology and Applications 1997
Corneliu Constantinescu
SPIE Optical Engineering + Applications 2009