Narratives are present in many forms of human expression and can be understood as a
fundamental way of communication between people. Computational understanding of the …

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 …

Discourse processing suffers from data sparsity, especially for dialogues. As a result, we
explore approaches to build discourse structures for dialogues, based on attention matrices …

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 …

Previous studies have made great advances in RST discourse parsing through specific
neural frameworks or features, but they usually split the parsing process into two subtasks …

For text summarization, the role of discourse structure is pivotal in discerning the core
content of a text. Regrettably, prior studies on incorporating Rhetorical Structure Theory …

Featured Application Hierarchical clause annotation could be applied in many downstream
tasks of natural language processing, including abstract meaning representation parsing …

We present GENTLE, a new mixed-genre English challenge corpus totaling 17K tokens and
consisting of 8 unusual text types for out-of domain evaluation: dictionary entries, esports …

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 …

Most natural language processing (NLP) tasks operationalize an input sentence as a
sequence with token-level embeddings and features, despite its clausal structure. Taking …