2004 CentroidBasedSummarization

• (Radev et al., 2004) ⇒ Dragomir Radev, Hongyan Jing, Malgorzata Styś, and Daniel Tam. (2004). “Centroid-based Summarization of Multiple Documents.” In: Information Processing and Management, 40 doi:10.1016/j.ipm.2003.10.006

Subject Headings: MEAD Algorithm.

Cited By

• ~539 http://scholar.google.com/scholar?q=%22Centroid-based+summarization+of+multiple+documents%22+2004

Quotes

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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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2004 CentroidBasedSummarization	Dragomir Radev Hongyan Jing Malgorzata Styś Daniel Tam			Centroid-based Summarization of Multiple Documents		Information Processing and Management	http://clair.si.umich.edu/~radev/papers/centroid.pdf			2004