2004 CentroidBasedSummarization

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Subject Headings: MEAD Algorithm.

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Cited By

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Author Keywords

  • Multi-document summarization; Centroid-based summarization; Cluster-based relative utility; Cross-sentence informational subsumption

Abstract

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.


References


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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2004 CentroidBasedSummarizationDragomir Radev
Hongyan Jing
Malgorzata Styś
Daniel Tam
Centroid-based Summarization of Multiple DocumentsInformation Processing and Managementhttp://clair.si.umich.edu/~radev/papers/centroid.pdf2004