Centroid-based summarization of multiple documents: sentence extraction

@misc{radev:clustering:2000, abstract = {We present a multi-document summarizer, called MEAD, which generates summaries using cluster centroids produced by a topic detection and tracking system. We also des.cdbe 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.}, author = {Radev, D. and Jing, H. and Budzikowska, M. }, citeulike-article-id = {540459}, keywords = {clustering, document}, posted-at = {2006-03-08 16:06:30}, priority = {4}, title = {Centroid-based summarization of multiple documents: sentence extraction}, url = {http://citeseer.ist.psu.edu/567097.html}, year = {2000} }

TY - GEN ID - radev:clustering:2000 L3 - citeulike-article-id:540459 TI - Centroid-based summarization of multiple documents: sentence extraction N2 - We present a multi-document summarizer, called MEAD, which generates summaries using cluster centroids produced by a topic detection and tracking system. We also des.cdbe 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. KW - clustering KW - document AU - Radev, D AU - Jing, H AU - Budzikowska, M PY - 2000/// UR - http://citeseer.ist.psu.edu/567097.html ER -