This paper presents the methodology, design principles and detailed evaluation of a new
freely available multilayer corpus, collected and edited via classroom annotation using …

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

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 …

In 2023, the third iteration of the DISRPT Shared Task (Discourse Relation Parsing and
Treebanking) was held, dedicated to the underlying units used in discourse parsing across …

HITS participated in the Discourse Segmentation (DS, Task 1) and Connective Detection
(CD, Task 2) tasks at the DISRPT 2023. Task 1 focuses on segmenting the text into …

We present the RST Signalling Corpus (Das et al. in RST signalling corpus, LDC2015T10.
https://catalog. ldc. upenn. edu/LDC2015T10, 2015), a corpus annotated for signals of …

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 …

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 …

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 …

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