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Machine and Human Performance for Single and Multidocument Summarization
January/February 2003 (vol. 18 no. 1)
pp. 46-54
Judith D. Schlesinger, IDA/Center for Computing Sciences
John M. Conroy, IDA/Center for Computing Sciences
Mary Ellen Okurowski, Department of Defense
Dianne P. O?Leary, University of Maryland

Automatic multidocument summarization holds great promise and commercial potential in the Information Age. The Document Understanding Conference II evaluation revealed several language processing challenges that impact text summarization. This article examines the techniques used in a summarization system the authors developed and their system's performance at DUC 2002. The authors also address the need for regularization of human summarization.

Index Terms:
automatic summarization, hidden Markov models, summary evaluation, text summarization
Citation:
Judith D. Schlesinger, John M. Conroy, Mary Ellen Okurowski, Dianne P. O?Leary, "Machine and Human Performance for Single and Multidocument Summarization," IEEE Intelligent Systems, vol. 18, no. 1, pp. 46-54, Jan.-Feb. 2003, doi:10.1109/MIS.2003.1179193
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