This paper describes our submission to the DISRPT2021 Shared Task on Discourse Unit
Segmentation, Connective Detection, and Relation Classification. Our system, called …

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 introduce a novel top-down end-to-end formulation of document-level discourse parsing
in the Rhetorical Structure Theory (RST) framework. In this formulation, we consider …

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 …

Current work on automatic coreference resolution has focused on the OntoNotes benchmark
dataset, due to both its size and consistency. However many aspects of the OntoNotes …

One of the most interesting aspects of natural language is how texts cohere, which involves
the pragmatic or semantic relations that hold between clauses (addition, cause-effect …

Abstract We present the Potsdam Commentary Corpus 2.2, a German corpus of news
editorials annotated on several different levels. New in the 2.2 version of the corpus are two …

The task of shallow discourse parsing in the Penn Discourse Treebank (PDTB) framework
has traditionally been restricted to identifying those relations that are signaled by a …

The availability of corpora annotated for discourse relations is limited and discourse relation
classification performance varies greatly depending on both language and domain. This is a …

This paper describes a rule-based approach and a machine learning approach to
disambiguate the discourse usage of Turkish connectives, which not only has single and …