论文信息 - From Single to Multi-document Summarization

From Single to Multi-document Summarization

NeATS is a multi-document summarization system that attempts to extract relevant or interesting portions from a set of documents about some topic and present them in coherent order. NeATS is among the best performers in the large scale summarization evaluation DUC 2001.

Eduard H. Hovy | Chin-Yew Lin | Chin-Yew Lin | E. Hovy

[1] Eduard H. Hovy,et al. The Automated Acquisition of Topic Signatures for Text Summarization , 2000, COLING.

[2] Kathleen R. McKeown,et al. Columbia multi-document summarization : Approach and evaluation , 2001 .

[3] Dragomir R. Radev,et al. Generating Natural Language Summaries from Multiple On-Line Sources , 1998, CL.

[4] Hans Peter Luhn,et al. The Automatic Creation of Literature Abstracts , 1958, IBM J. Res. Dev..

[5] Ted Dunning,et al. Accurate Methods for the Statistics of Surprise and Coincidence , 1993, CL.

[6] Mark T. Maybury,et al. Automatic Summarization , 2002, Computational Linguistics.

[7] Daniel Marcu,et al. Discourse Trees Are Good Indicators of Importance in Text , 1999 .

[8] H. P. Edmundson,et al. New Methods in Automatic Extracting , 1969, JACM.

[9] Jade Goldstein-Stewart,et al. Summarizing text documents: sentence selection and evaluation metrics , 1999, SIGIR '99.

[10] Inderjeet Mani,et al. The Tipster Summac Text Summarization Evaluation , 1999, EACL.