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Found 10 papers, 6 papers with code
Why Can't Discourse Parsing Generalize? A Thorough Investigation of the Impact of Data Diversity
To our knowledge, this study is the first to fully evaluate cross-corpus RST parsing generalizability on complete trees, examine between-genre degradation within an RST corpus, and investigate the impact of genre diversity in training data composition.
DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective Detection
This paper describes our submission to the DISRPT2021 Shared Task on Discourse Unit Segmentation, Connective Detection, and Relation Classification.
GCDT: A Chinese RST Treebank for Multigenre and Multilingual Discourse Parsing
A lack of large-scale human-annotated data has hampered the hierarchical discourse parsing of Chinese.
GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation
We evaluate state-of-the-art NLP systems on GENTLE and find severe degradation for at least some genres in their performance on all tasks, which indicates GENTLE's utility as an evaluation dataset for NLP systems.
GUMSum: Multi-Genre Data and Evaluation for English Abstractive Summarization
Automatic summarization with pre-trained language models has led to impressively fluent results, but is prone to 'hallucinations', low performance on non-news genres, and outputs which are not exactly summaries.
The DISRPT 2021 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification
In 2021, we organized the second iteration of a shared task dedicated to the underlying units used in discourse parsing across formalisms: the DISRPT Shared Task (Discourse Relation Parsing and Treebanking).
Putting Context in SNACS: A 5-Way Classification of Adpositional Pragmatic Markers
The SNACS framework provides a network of semantic labels called supersenses for annotating adpositional semantics in corpora.
Chinese Discourse Annotation Reference Manual
This document provides extensive guidelines and examples for Rhetorical Structure Theory (RST) annotation in Mandarin Chinese.
What's Hard in English RST Parsing? Predictive Models for Error Analysis
Despite recent advances in Natural Language Processing (NLP), hierarchical discourse parsing in the framework of Rhetorical Structure Theory remains challenging, and our understanding of the reasons for this are as yet limited.
eRST: A Signaled Graph Theory of Discourse Relations and Organization
In this article we present Enhanced Rhetorical Structure Theory (eRST), a new theoretical framework for computational discourse analysis, based on an expansion of Rhetorical Structure Theory (RST).
