6 resultados para articles scientifiques
em Aston University Research Archive
Resumo:
This article investigates metaphors of identity in dating ads and in two types of newspaper writing, 'hard' and 'soft' news articles. It focuses on issues of textualization and processing, and particularly on the role of cotext in decoding metaphors. Taking a pragmatic approach founded in the cooperative principle, it argues that the maxims of quality and relation play related but separable roles in the interpretation of identity metaphors; and that this process is guided and constrained by cotextual selections in the environment of the metaphorical term. The particular kinds of cotextual guidance provided by the writer are seen to vary according to genre-driven issues. These include the purpose and stylistic conventions of the genre in which the metaphor occurs and the circumstances under which the text is composed and read. Differing functional motivations are suggested for the use of identity metaphors in each of the genres considered. © Walter de Gruyter 2007.
Resumo:
Editorial
Resumo:
Storyline detection from news articles aims at summarizing events described under a certain news topic and revealing how those events evolve over time. It is a difficult task because it requires first the detection of events from news articles published in different time periods and then the construction of storylines by linking events into coherent news stories. Moreover, each storyline has different hierarchical structures which are dependent across epochs. Existing approaches often ignore the dependency of hierarchical structures in storyline generation. In this paper, we propose an unsupervised Bayesian model, called dynamic storyline detection model, to extract structured representations and evolution patterns of storylines. The proposed model is evaluated on a large scale news corpus. Experimental results show that our proposed model outperforms several baseline approaches.
