Discourse parsing is an integral part of understanding information flow and argumentative
structure in documents. Most previous research has focused on inducing and evaluating …

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 …

Text discourse parsing weighs importantly in understanding information flow and
argumentative structure in natural language, making it beneficial for downstream tasks …

Recent advances in discourse parsing performance create the impression that, as in other
NLP tasks, performance for high-resource languages such as English is finally becoming …

This paper presents the results obtained by the MELODI team for the three tasks proposed
within the DISRPT 2023 shared task on discourse: segmentation, connective identification …

Segmentation is the first step in building practical discourse parsers, and is often neglected
in discourse parsing studies. The goal is to identify the minimal spans of text to be linked by …

Text discourse parsing plays an important role in understanding information flow and
argumentative structure in natural language. Previous research under the Rhetorical …

Pre-trained multilingual language models have become an important building block in
multilingual natural language processing. In the present paper, we investigate a range of …

The Uniform Information Density (UID) hypothesis posits that speakers tend to distribute
information evenly across linguistic units to achieve efficient communication. Of course …

A lack of large-scale human-annotated data has hampered the hierarchical discourse
parsing of Chinese. In this paper, we present GCDT, the largest hierarchical discourse …