نتایج جستجو برای: ideological discourse structures
تعداد نتایج: 501599 فیلتر نتایج به سال:
Several discourse annotated corpora now exist for NLP. But they use different, not easily comparable annotation schemes: are the structures these schemes describe incompatible, incomparable, or do they share interpretations? In this paper, we relate three types of discourse annotation used in corpora or discourse parsing: (i) RST, (ii) SDRT, and (iii) dependency tree structures. We offer a comm...
This paper critically appraises the rhetoric of marketing management texts. Its interpretive frame is informed respectively by critical management and discourse analytic theoretical traditions. Its main data set is drawn from popular textbooks written for taught university courses but it also draws attention to similar rhetorical strategies in leading academic marketing journals. In addition, p...
The World Health Report 2000, prepared by the World Health Organization, presented performance rankings of 191 nations’ health care systems. These rankings have been widely cited in public debates about health care, particularly by those interested in reforming the U.S. health care system to resemble more closely those of other countries. Michael Moore, for instance, famously stated in his film...
Résumé We show that the semantic level for discourses, understood as a dependency representation, can be mathematically characterized as DAGs. Our argumentation is based on discourses with three clauses and two discourse connectives. This simple case allows us to state that DAGs for discourses are not arbitrary: they present structural constraints. Nous montrons que les représentations sémantiq...
Literary works are the carriers of many regulations, values, norms, beliefs, structures and existential, cultural, and social aspects of their time. Many of the social and cultural realities of past centuries embedded within the extant literary works of those centuries can be identified and followed through. The critical approach in discourse analysis of literary texts provides a more precise k...
Discussions of the political effects of the Internet and networked discourse tend to presume consistent patterns of technological adoption and use within a given society. Consistent with this assumption, previous empirical studies of the United States political blogosphere have found evidence that the left and right are relatively symmetric in terms of various forms of linking behavior despite ...
Lean management and organizational learning have been seen as two driving forces for today’s business’ success by contributing to competitive advantage in organizations. The aim of this paper is to explore and assess the implementation of lean from the perspective of organizational learning. By revisiting the lean concept and the relationship between lean and learning, we argue that lean has be...
A bst ract Text generation programs need to be designed around a theory of text organization. This paper introduces Rhetorical Structure Theory, a theory of text structure in which each region of text has a central nuclear part and a number of satellites related to it. A natural text is analyzed as an example, the mechanisms of the theory are identified, and their formalization is discussed. In...
This paper examines a statistics debate among African American caregivers raising children with disabilities for insights into the work of "African American mothering." Using ethnographic, narrative and discourse analyses, we delineate the work that African American mothers do--in and beyond this conversation--to cross ideological and epistemological boundaries around race and disability. Their...
This article describes an effort to generate elliptic sentences, using Dependency Trees connected by Discourse Relations as input. We contend that the process of syntactic aggregation should be performed in the Surface Realization stage of the language generation process, and that Dependency Trees with Rhetorical Relations are excellent input for a generation system that has to generate ellipsi...
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