Centroid-based summarization of multiple documents
نویسندگان
چکیده
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. 2003 Elsevier Ltd. All rights reserved.
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Centroid-based summarization of multiple documents: sentence extraction utility-based evaluation, and user studies
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-documen...
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عنوان ژورنال:
- Inf. Process. Manage.
دوره 40 شماره
صفحات -
تاریخ انتشار 2004