Mining discourse markers for Chinese textual summarization

Authors:
Samuel W. K. Chan;Tom B. Y. Lai;W. J. Gao;Benjamin K. T'sou
Affiliations:
City University of Hong Kong, Kowloon Tong, Hong Kong SAR, China;City University of Hong Kong, Kowloon Tong, Hong Kong SAR, China;North Eastern University, China;City University of Hong Kong, Kowloon Tong, Hong Kong SAR, China
Venue:
NAACL-ANLP-AutoSum '00 Proceedings of the 2000 NAACL-ANLP Workshop on Automatic Summarization
Year:
2000

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Abstract

Discourse markers foreshadow the message thrust of texts and saliently guide their rhetorical structure which are important for content filtering and text abstraction. This paper reports on efforts to automatically identify and classify discourse markers in Chinese texts using heuristic-based and corpus-based data-mining methods, as an integral part of automatic text summarization via rhetorical structure and Discourse Markers. Encouraging results are reported.