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 ...

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The aim of this paper is to reflect on some the current trends in Portuguese illustration for children, focusing an intertextual reading picturebooks written and illustrated by Manuela Bacelar, as a precursor creation kind book Portugal. Based discursive interdependence text illustrations, stylistic technical-narrative procedures are observed, necessary articulation with visual/graphic material...

A course aimed at writing Scientific Research Articles (SRA) in English was offered to Spanish-speaking researchers a public university Argentina. It deployed activities described by the Reading Learn Pedagogy (R2L) (MARTIN; ROSE, 2012). This article assesses effectiveness of this pedagogy analyzing students’ productions. We compared abstracts SRA written before and after implementation R2L’s p...

In this position paper, we argue Ibr the need for a generation system to represent communicative goals (i.e., goals that express the speaker's intent to aflect the bearer's mental attitudes), at least if certain tasks are to be achieved. We lurther argue that, wlfile rhetorical relations might be recoverable t tom other Iactors, they appear to be a useful level of abstraction to maintain about ...

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 ...