This paper reports on an experiment implementing a data-intensive approach to discourse organisation. Its focus is on enumerative structures envisaged as a type of textual pattern in a sequentiality-oriented approach to discourse. On the basis of a large-scale annotation exercise calling upon automatic feature mark-up alongside manual annotation, we explore a method to identify complex discours...

Sociological approaches to understanding narratives of illness usually begin with oral or textual discourse. This article extends the study of illness narratives beyond oral and textual accounts to photographs. It takes the position that attempts to distinguish clearly images and words, or verbal and visual narratives, are utopian projects. It examines three photographs taken by British feminis...

In this demo we focus on cross-modal (visual and textual) e-commerce search within the fashion domain. Particularly, we demonstrate two tasks: 1) given a query image (without any accompanying text), we retrieve textual descriptions that correspond to the visual attributes in the visual query; and 2) given a textual query that may express an interest in specific visual characteristics, we retrie...

Document-level sentiment analysis is among the most popular research fields of nature language processing in recent years, in which one of major challenges is that discourse structural information can be hardly captured by existing approaches. In this paper, a domain-independent framework for documentlevel sentiment classification with weighting rules based on Rhetorical Structure Theory is pro...

Recent studies on extractive text summarization formulate it as a combinatorial optimization problem such as a Knapsack Problem, a Maximum Coverage Problem or a Budgeted Median Problem. These methods successfully improved summarization quality, but they did not consider the rhetorical relations between the textual units of a source document. Thus, summaries generated by these methods may lack l...

This paper presents a method for automatic summarization by deleting intra-sentence discourse segments. First, each sentence is divided into elementary discourse units and, then, less informative segments are deleted. To analyze the results, we have set up an annotation campaign, thanks to which we have found interesting aspects regarding the elimination of discourse segments as an alternative ...

Intelligent, context sensitive content assist (also known as code completion) plays an important role in the effectiveness of model editors. This is not only true for textual language notations, but also for graphical notations that often contain a significant amount of textual elements. This paper presents techniques to describe content assists for meta-model based textual model editors. We sh...

Statement of the problem. The results interdisciplinary studies show that aging process was causelessly associated with words decline, vulnerability and has a gender marking. relationship between these two identities is complex, as linguistic research, it not been studied to sufficient extent yet, does have satisfactory theoretical foundation. purpose article analyze lexical units ageist semant...