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 …

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 …

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 …

This volume explores the opportunities afforded by the construction and evaluation of
multilayer corpora, an emerging methodology within corpus linguistics that brings about …

Discourse analysis is a highly applicable area of natural language processing. In English
and other languages, resources for discourse-based tasks are widely available. Thai …

In 2019, we organized the first iteration of a shared task dedicated to the underlying units
used in discourse parsing across formalisms: the DISRPT Shared Task on Elementary …

Discourse parsing, which involves understanding the structure, information flow, and
modeling the coherence of a given text, is an important task in natural language processing …

Over the past years, interest in discourse analysis and discourse parsing has steadily grown,
and many discourse-annotated corpora and, as a result, discourse parsers have been built …

We present a corpus development project which builds a corpus in Bangla called the Bangla
RST Discourse Treebank. The corpus contains a collection of 266 Bangla text, which are …

Results of the first experimental evaluation of machine learning models trained on Ru-
RSTreebank–first Russian corpus annotated within RST framework–are presented. Various …