1,143 research outputs found
Generic and rhetorical structures of texts : two sides of the same coin?
Two major approaches to textual macro-structures have been developed during the last decades: Register & Genre Theory (R>) and Rhetorical Structure Theory (RST). Both stress that textual structures co-occur with contextual relations involving social action and subject matter, role structure and symbolic organization. The approaches, however, significantly differ in their conceptions of textual organization. Whereas R> conceives of texts as goal-oriented staged (i.e. linearly progressing, while still allowing for prosodic and recursive realizations of stages) interactions, RST conceptualises them as hierarchically structured entities in which certain elements are foregrounded (nuclei) and others are backgrounded (satellites); Based on empirical analyses of Viennese university students' essays, we will discuss in what ways generic and rhetorical organizations of texts relate to each other and what advances a combination of these two approaches may offer for text analysis and text linguistics. Through such a combinatory approach to analyzing texts, it becomes possible to identify systematic patterns of textual features in context (using R>) and culturally influenced, semantic coherence relations (using RST). Central to our discussion are issues involving the relation between hierarchical versus linear perspectives on text organization and the relation between cohesion and coherence
Carnap: an Open Framework for Formal Reasoning in the Browser
This paper presents an overview of Carnap, a free and open framework for the development of formal reasoning applications. Carnap’s design emphasizes flexibility, extensibility, and rapid prototyping. Carnap-based applications are written in Haskell, but can be compiled to JavaScript to run in standard web browsers. This combination of features makes Carnap ideally suited for educational applications, where ease-of-use is crucial for students and adaptability to different teaching strategies and classroom needs is crucial for instructors. The paper describes Carnap’s implementation, along with its current and projected pedagogical applications
Incremental Query Generatio
International audienceWe present a natural language generation system which supports the incremental specification of ontology-based queries in natural language. Our contribution is two fold. First, we introduce a chart based surface realisation algorithm which supports the kind of incremental processing required by ontology-based querying. Crucially, this algorithm avoids confusing the end user by preserving a consistent ordering of the query elements throughout the incremental query formulation process. Second, we show that grammar based surface realisation better supports the generation of fluent, natural sounding queries than previous template-based approaches
Language, logic and ontology: uncovering the structure of commonsense knowledge
The purpose of this paper is twofold: (i) we argue that the structure of commonsense knowledge must be discovered, rather than invented; and (ii) we argue that natural
language, which is the best known theory of our (shared) commonsense knowledge, should itself be used as a guide to discovering the structure of commonsense knowledge. In addition to suggesting a systematic method to the discovery of the structure of commonsense knowledge, the method we propose seems to also provide an explanation for a number of phenomena in natural language, such as metaphor, intensionality, and the semantics of nominal compounds. Admittedly, our ultimate goal is quite ambitious, and it is no less than the systematic ‘discovery’ of a well-typed
ontology of commonsense knowledge, and the subsequent formulation of the longawaited goal of a meaning algebra
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