Discourse Segmentation

14 papers with code • 0 benchmarks • 4 datasets

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Most implemented papers

RST Parsing from Scratch

tungngthanh/rst_parser NAACL 2021

We introduce a novel top-down end-to-end formulation of document-level discourse parsing in the Rhetorical Structure Theory (RST) framework.

DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective Detection

gucorpling/discodisco EMNLP (DISRPT) 2021

This paper describes our submission to the DISRPT2021 Shared Task on Discourse Unit Segmentation, Connective Detection, and Relation Classification.

DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and Parsing

seq-to-mind/DMRST_Parser CODI 2021

While previous work significantly improves the performance of RST discourse parsing, they are not readily applicable to practical use cases: (1) EDU segmentation is not integrated into most existing tree parsing frameworks, thus it is not straightforward to apply such models on newly-coming data.