Discourse parsing is an important research area in natural language processing (NLP),
which aims to parse the discourse structure of coherent sentences. In this survey, we …

Rhetorical structure theory (RST) is a significant theory about discourse organization. With
an increasing number of research interests focus on RST, many novel parsing approaches …

Discourse segmentation, which segments texts into Elementary Discourse Units, is a
fundamental step in discourse analysis. Previous discourse segmenters rely on complicated …

Document and discourse segmentation are two fundamental NLP tasks pertaining to
breaking up text into constituents, which are commonly used to help downstream tasks such …

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 …

We experiment with different ways of training LSTM networks to predict RST discourse trees.
The main challenge for RST discourse parsing is the limited amounts of training data. We …

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 …

Discourse parsing is the task of identifying the relatedness and the particular discourse
relations among various discourse units in a text. In particular, among various theoretical …

In recent years, There has been a variety of research on discourse parsing, particularly RST
discourse parsing. Most of the recent work on RST parsing has focused on implementing …

Discourse segmentation and sentence-level discourse parsing play important roles for
various NLP tasks to consider textual coherence. Despite recent achievements in both tasks …