Rhetorical Structure Theory (RST) is a theory of text organization that has led to areas of
application beyond discourse analysis and text generation, its original goals. In this article …

Text-level discourse parsing remains a challenge: most approaches employ features that fail
to capture the intentional, semantic, and syntactic aspects that govern discourse coherence …

In this paper, we develop an RST-style textlevel discourse parser, based on the HILDA
discourse parser (Hernault et al., 2010b). We significantly improve its tree-building step by …

A corpus of German newspaper commentaries has been assembled and annotated with
different information (and currently, to different degrees): part-of-speech, syntax, rhetorical …

Previous researches on Text-level discourse parsing mainly made use of constituency
structure to parse the whole document into one discourse tree. In this paper, we present the …

A notably challenging problem in emotion analysis is recognizing the cause of an emotion.
Although there have been a few studies on emotion cause detection, most of them work on …

Computational text-level discourse analysis mostly happens within Rhetorical Structure
Theory (RST), whose structures have classically been presented as constituency trees, and …

Finding temporal and causal relations is crucial to understanding the semantic structure of a
text. Since existing corpora provide no parallel temporal and causal annotations, we …

This paper introduces a new algorithm to parse discourse within the framework of Rhetorical
Structure Theory (RST). Our method is based on recent advances in the field of statistical …

In this paper, we present a tangible outcome of the TextLink network: a joint online database
project displaying and linking existing and newly-created lexicons of discourse connectives …