Text as scene: discourse deixis and bridging relations

En este artículo se presenta un nuevo marco, “el texto como escena”, que establece las bases para la anotación de dos relaciones de correferencia: la deixis discursiva y las relaciones de bridging. La incorporación de lo que llamamos escenas textuales y contextuales proporciona unas directrices de anotación más flexibles, que diferencian claramente entre tipos de categorías generales. Un marco como éste, capaz de tratar la deixis discursiva y las relaciones de bridging desde una perspectiva común, tiene como objetivo mejorar el bajo grado de acuerdo entre anotadores obtenido por esquemas de anotación anteriores, que son incapaces de captar las referencias vagas inherentes a estos dos tipos de relaciones. Las directrices aquí presentadas completan el esquema de anotación diseñado para enriquecer el corpus español CESS-ECE con información correferencial y así construir el corpus CESS-Ancora.This paper presents a new framework, “text as scene”, which lays the foundations for the annotation of two coreferential links: discourse deixis and bridging relations. The incorporation of what we call textual and contextual scenes provides more flexible annotation guidelines, broad type categories being clearly differentiated. Such a framework that is capable of dealing with discourse deixis and bridging relations from a common perspective aims at improving the poor reliability scores obtained by previous annotation schemes, which fail to capture the vague references inherent in both these links. The guidelines presented here complete the annotation scheme designed to enrich the Spanish CESS-ECE corpus with coreference information, thus building the CESS-Ancora corpus.This paper has been supported by the FPU grant (AP2006-00994) from the Spanish Ministry of Education and Science. It is based on work supported by the CESS-ECE (HUM2004-21127), Lang2World (TIN2006- 15265-C06-06), and Praxem (HUM2006- 27378-E) projects

Entropy and Graph Based Modelling of Document Coherence using Discourse Entities: An Application

We present two novel models of document coherence and their application to information retrieval (IR). Both models approximate document coherence using discourse entities, e.g. the subject or object of a sentence. Our first model views text as a Markov process generating sequences of discourse entities (entity n-grams); we use the entropy of these entity n-grams to approximate the rate at which new information appears in text, reasoning that as more new words appear, the topic increasingly drifts and text coherence decreases. Our second model extends the work of Guinaudeau & Strube [28] that represents text as a graph of discourse entities, linked by different relations, such as their distance or adjacency in text. We use several graph topology metrics to approximate different aspects of the discourse flow that can indicate coherence, such as the average clustering or betweenness of discourse entities in text. Experiments with several instantiations of these models show that: (i) our models perform on a par with two other well-known models of text coherence even without any parameter tuning, and (ii) reranking retrieval results according to their coherence scores gives notable performance gains, confirming a relation between document coherence and relevance. This work contributes two novel models of document coherence, the application of which to IR complements recent work in the integration of document cohesiveness or comprehensibility to ranking [5, 56]

Hyper-Document structure: maintaining discourse coherence in non-linear documents

The passage from linear text to hypertext poses the challenge of expressing discourse coherence in non-linear text, where linguistic discourse markers no longer work. While hypertext introduces new possibilities for discourse organisation, it also requires the use of new devices which can support the expression of coherence by exploiting the technical characteristics and expressive capabilities of the medium. In this paper we show how in hypertext the notion of abstract document structure encompasses animated graphics as a form of meta-language for discourse construction

Nursing care behaviour in interprofessional learning explained by critical discourse analysis

Aim: to demonstrate Fairclough’s critical discourse analysis as a way to understand nurse caring behaviour in asynchronous text-based interprofessional online learning within higher education. Background: asynchronous text-based learning experience of homogeneous nursing groups indicated nurse caring behaviour in a small number of studies. However, positive findings were not found in studies about interprofessional learning undertaken by nurses. Instead, nurses’ dominance which might be a result of professional boundaries was frequently reported as a barrier to interprofessional education, yet little is understood about the phenomenon. Design: a study which employed Fairclough’s critical discourse analysis was used to understand the translation of nurse caring behaviour in text-based online interprofessional learning within higher education. Data Source: the asynchronous online discussions produced by thirteen students undertaking an online interprofessional learning module at master’s level in a University in the North of England were the discourse data for analysis. Findings: By using Fairclough’s critical discourse analysis, understanding of the semiotic categories corresponding to genres, discourses and styles yielded information on nurses’ discourse in online learning. Through appreciating the subliminal way in which these three categories relate to social practices and social events, the dialectical relations between semiosis of the online text and its other elements were made explicit. In doing so, the way nurse caring behaviour in interprofessional learning were translated in an asynchronous text-based learning environment was explained. Conclusions: Fairclough’s critical discourse analysis was useful in explaining how nurse caring attributes when displayed online could result in the interprofessional learning space being used as a platform for nurses and allied healthcare professionals to co-construct power-relations. The analysis required researchers’ tacit knowledge, based on an emic (insider) position in healthcare practice and education, which is closely linked to the power-relations that is entangled in the social order and practices in healthcare. This explains why researchers outside of critical discourse analytic work would hold a strong view for an etic (outsider) perspective in discourse analysis. In this regard, one should consider triangulating critical discourse methodology with other qualitative theoretical frameworks

Neural Discourse Structure for Text Categorization

We show that discourse structure, as defined by Rhetorical Structure Theory and provided by an existing discourse parser, benefits text categorization. Our approach uses a recursive neural network and a newly proposed attention mechanism to compute a representation of the text that focuses on salient content, from the perspective of both RST and the task. Experiments consider variants of the approach and illustrate its strengths and weaknesses.Comment: ACL 2017 camera ready versio

Where’s Morningside? Locating bro’Town in the ethnic genealogy of New Zealand/Aotearoa

This article uses discourse analysis to locate animated primetime cartoon comedy bro'Town in terms of ethnicity and identification in both a local New Zealand/Aotearoa (NZ) and a global, postmodern, postcolonial media environment. It analyses and problematises the polarisation of local ethnic discourse between conservative assimilationist and bicultural "politically correct" viewpoints by situating the text in global postmodern media environment and demonstrating the discursive interdependence of such binary oppositions. Finally it looks at the degree to which bro'Town's self-proclaimed status as "hilariously anti-PC" comedy works to both exploit and undermine polarities of ethnic representation through employing "reverse discourse". The overall aim of the paper is not to present a close reading or textual analysis, but to situate the text in larger discursive frameworks and thus offer a number of possible theoretical approaches