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arXiv · 2309.04141

RST-style Discourse Parsing Guided by Document-level Content Structures

Ming Li·Ruihong Huang
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Abstract

Rhetorical Structure Theory based Discourse Parsing (RST-DP) explores how clauses, sentences, and large text spans compose a whole discourse and presents the rhetorical structure as a hierarchical tree. Existing RST parsing pipelines construct rhetorical structures without the knowledge of document-level content structures, which causes relatively low performance when predicting the discourse relations for large text spans. Recognizing the value of high-level content-related information in facilitating discourse relation recognition, we propose a novel pipeline for RST-DP that incorporates structure-aware news content sentence representations derived from the task of News Discourse Profiling. By incorporating only a few additional layers, this enhanced pipeline exhibits promising performance across various RST parsing metrics.

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Ming Li, Ruihong Huang. 2023-09-08. RST-style Discourse Parsing Guided by Document-level Content Structures. https://arxiv.org/abs/2309.04141

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