Discourse Parsing

35 papers with code • 1 benchmarks • 6 datasets

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Most implemented papers

Fast Rhetorical Structure Theory Discourse Parsing

EducationalTestingService/discourse-parsing 10 May 2015

In recent years, There has been a variety of research on discourse parsing, particularly RST discourse parsing.

A Unified Linear-Time Framework for Sentence-Level Discourse Parsing

ntunlpsg/UnifiedParser_RST ACL 2019

We propose an efficient neural framework for sentence-level discourse analysis in accordance with Rhetorical Structure Theory (RST).

ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences

serenayj/ABCD-ACL2021 ACL 2021

On DeSSE, which has a more even balance of complex sentence types, our model achieves higher accuracy on the number of atomic sentences than an encoder-decoder baseline.

Multi-view and multi-task training of RST discourse parsers

chloebt/discourse COLING 2016

We experiment with different ways of training LSTM networks to predict RST discourse trees.

Cross-lingual RST Discourse Parsing

chloebt/discourse EACL 2017

Discourse parsing is an integral part of understanding information flow and argumentative structure in documents.

The CLaC Discourse Parser at CoNLL-2015

mjlaali/CLaCDiscourseParser CONLL 2015

This paper describes our submission (kosseim15) to the CoNLL-2015 shared task on shallow discourse parsing.

Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank

kaayy/josydipa EMNLP 2017

Discourse parsing has long been treated as a stand-alone problem independent from constituency or dependency parsing.

Does syntax help discourse segmentation? Not so much

chloebt/discourse EMNLP 2017

Discourse segmentation is the first step in building discourse parsers.