Centroid-based summarization of multiple documents
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Prof. Dragomir R. Radev
School of Information
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.