A discourse containing one or more sentences describes daily issues and events for people
to communicate their thoughts and opinions. As sentences are normally consist of multiple …

Using style-transfer models to reduce offensiveness of social media comments can help
foster a more inclusive environment. However, there are no sizable datasets that contain …

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 …

Hierarchical discourse structures benefit Natural Language Understanding tasks, such as
text summarization and sentiment analysis. Rhetorical Structure Theory (RST) is particularly …

Recent advances in discourse parsing create the impression that, like other types of Natural
Language Processing analyses, state-of-the-art performance for high-resource languages …

Large language models (LLMs) are capable of generating well-formed responses, but using
LLMs to generate responses on the fly is not yet feasible for many task-oriented systems …

Traditional approaches to discourse have shown the essential importance of discourse
(rhetorical) relations in providing coherence to a text [1, 2, 3]. Current approaches to natural …