Process / pipeline

Discourse Parsing — Rhetorical Structure Analysis

Discourse parsing is a natural-language-processing task that models the rhetorical relations between sentences and paragraphs of a text — relations such as cause, contrast, and elaboration — and represents them as a tree structure. It works within established frameworks, principally Rhetorical Structure Theory (RST), introduced by Mann and Thompson in 1988, and the Penn Discourse TreeBank (PDTB), released by Prasad and colleagues in 2008.

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Sources

  1. Mann, W. C. & Thompson, S. A. (1988). Rhetorical Structure Theory: Toward a functional theory of text organization. Text, 8(3), 243-281. DOI: 10.1515/text.1.1988.8.3.243
  2. Prasad, R., Dinesh, N., Lee, A., Miltsakaki, E., Robaldo, L., Joshi, A. & Webber, B. (2008). The Penn Discourse TreeBank 2.0. Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC 2008). link

Related methods

ScholarGateDiscourse Parsing (Discourse Parsing (Rhetorical Structure Analysis)). Retrieved 2026-06-04 from https://scholargate.app/en/text-mining/discourse-parsing