Discourse structure is the hidden link between surface features and document-level properties, such as sentiment polarity. We show that the discourse analyses produced by Rhetorical Structure Theory (RST) parsers can improve document-level sentiment analysis, via composition of local information up the discourse tree. First, we show that reweighting discourse units according to their position i...

In this paper, the authors propose a query focussed summary generation system which is constructed on top of a unique language-independent discourse structure. The discourse structure is comprised of three text representation techniques, namely, Universal Networking Language (UNL), Rhetorical Structure Theory (RST) and saṅgatis. The discourse structure is indexed based on a concept called sūtra...

The Text2Dialogue (T2D) system that we are developing allows digital content creators to generate attractive multi-modal dialogues presented by two virtual agents—by simply providing textual information as input. We use Rhetorical Structure Theory (RST) to decompose text into segments and to identify rhetorical discourse relations between them. These are then “acted out” by two 3D agents using ...

The study we report in this article addresses the results of comparing the rhetorical trees from two different languages carried out by two annotators starting from the Rhetorical Structure Theory (RST). Furthermore, we investigate the methodology for a suitable evaluation, both quantitative and qualitative, of these trees. Our corpus contains abstracts of medical research articles written both...

In this article, we propose a novel method for generating engaging multi-modal content automatically from text. Rhetorical Structure Theory (RST) is used to decompose text into discourse units and to identify rhetorical discourse relations between them. Rhetorical relations are then mapped to question–answer pairs in an information preserving way, i.e., the original text and the resulting dialo...

In the experimental psycholinguistic study we consider the correlation between one of activation in working memory factors (Kibrik 2010), namely a rhetorical distance to the pronoun antecedent and a successful reference resolution in Russian. Using Russian adaptation of the working memory span test from Daneman and Carpenter 1980 we demonstrated that a rhetorical distance is really a significan...

The Text2Dialogue (T2D) system that we are developing allows digital content creators to generate attractive multi-modal dialogues presented by two virtual agents—by simply providing textual information as input. We use Rhetorical Structure Theory (RST) to decompose text into segments and to identify rhetorical discourse relations between them. These are then “acted out” by two 3D agents using ...