Centroid-based summarization of multiple documents: sentence extraction, utility-based evaluation, and user studies
Radev, Dragomir R. · Jing, Hongyan · Budzikowska, Malgorzata
Computation and Language
Artificial Intelligence
Digital Libraries
Human-Computer Interaction
Information Retrieval
H.3.1; H.3.4; H.3.7; H.5.2; I.2.7
الأصل · EN
We present a multi-document summarizer, called MEAD, which generates summaries using cluster centroids produced by a topic detection and tracking system. We also describe two new techniques, based on sentence utility and subsumption, which we have applied to the evaluation of both single and multiple document summaries. Finally, we describe two user studies that test our models of multi-document summarization.
الترجمة العربية
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