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 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...

Corpus analysis of 54 naturally occurring introductions of Physics papers led to a detailed schematic structure comprising eight components that are realized linguistically through 30 rhetorical strategies. A strategy is made up of two or three rhetorical messages out of a set of 45 messages. Such a detailed analysis was required for employing the case-based reasoning approach in developing wri...

This paper investigates whether the model of local rhetorical coherence suggested in Knott et al. (2001) can boost the performance of the Centering-based metrics of entity coherence employed by Karamanis et al. (2004) for the task of information ordering. Rhetorical coherence is integrated into the way Centering’s basic data structures are derived from the annotated features of the GNOME corpus...

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 ...

We describe an XML-encoded corpus of texts in the legal domain which was gathered for an automatic summarisation project. We describe two distinct layers of annotation: manual annotation of the rhetorical status of sentences and an entirely automatic annotation process incorporating a host of individual linguistic processors. The manual rhetorical status annotation has been developed as trainin...

In this paper we investigate whether unsupervised models can be used to induce conventional aspects of rhetorical language in scientific writing. We rely on the intuition that the rhetorical language used in a document is general in nature and independent of the document’s topic. We describe a Bayesian latent-variable model that implements this intuition. In two empirical evaluations based on t...

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 ...

Writing studies and writing center scholars have recently focused much-needed attention on how graduate student writers are taught, mentored, supported. This scholarship also points to a persistent stubborn conundrum: Graduate students must write their way into disciplinary belonging, yet most advisors lack language for, or even awareness of, the specialized practices tacit expectations shaping...