Mining Discourse Markers for Chinese Textual Summarization

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.

• Publication year

  2000

• Venue

  Unknown venue

• Publication date

  2000-04-30

• Fields of study

  Linguistics, Computer Science

• Identifiers
  DOI 10.3115/1117575.1117577
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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