Ever since the formulation of Rhetorical Structure Theory (RST) by Mann and Thompson,
researchers have debated about what is the 'right'number of relations. One proposal is …

Discourse Processing here is framed as marking up a text with structural descriptions on
several levels, which can serve to support many language-processing or text-mining tasks …

Being able to identify which rhetorical relations (eg, contrast or explanation) hold between
spans of text is important for many natural language processing applications. Using machine …

We introduce a simple semi-supervised approach to improve implicit discourse relation
identification. This approach harnesses large amounts of automatically extracted discourse …

We propose a method for automatically identifying rhetorical relations. We use supervised
machine learning but exploit discourse markers to automatically label training data. Our …

This paper describes a simple discourse parsing and analysis algorithm that combines a
formal underspecification utilising discourse grammar with Information Retrieval (IR) …

This work focuses on the phenomenon of German modal particles (Mps) which has received
much attention in linguistic research–however mainly restricted to an analysis inside the …

This chapter examines contrastively the overt and non-overt coding of discourse relations in
British English and German editorials. Particular attention is given to the linguistic coding of …

A document is more than a random combination of sentences. It is, instead, a cohesive entity
where sentences interact with each other to create a coherent structure and convey specific …

This paper sets out to explore the distinctive features of publicity messages with respect to
other kinds of texts. Since the aim of advertising is to point the consumers' ideas in a certain …