Automatic Text Summarization has received a great deal of attention in the past couple of decades. It has gained a lot of interest especially with the proliferation of the Internet and the new technologies. Arabic as a language still lacks research in the field of Information Retrieval. In this paper, we explore lexical cohesion using lexical chains for an extractive summarization system for Ar...

We present a discourse parsing architecture based on an incremental approach and aimed at building a rhetorical structure of a free text. Vein expressions computed on the developing structure help to restrict the domains of referential accessibility on which resolution of anaphora is performed. The parsing process is guided by cohesion and coherence constraints.

The purpose of this study was to undertake a thorough news article entitled "31 Policemen Questioned in Kanjuruhan Stadium Tragedy" by looking at both its contextual and textual elements. To analyze the data, research used content analysis discourse design. While relied on Dell Hymes' ethnography communication, notably Speaking Model (Hymes, 1974), concentrated coherence devices given Halliday ...

In this paper, we describe ihow word sense am= biguity can be resolw'.d with the aid of lexical eo-hesion. By checking ]exical coheshm between the current word and lexical chains in the order of the salience, in tandem with getmration of lexica] chains~ we realize incretnental word sense disam biguation based on contextual infl)rmation that lexical chains,reveah Next;, we <le~<:ribe how set men...

This article outlines a quantitative method for segmenting texts into thematically coherent units. This method relies on a network of lexical collocations to compute the thematic coherence of the different parts of a text from the lexical cohesiveness of their words. We also present the results of an experiment about locating boundaries between a series of concatened texts. 1 I n t r o d u c t ...

Many of previous research have proven that the usage of rhetorical relations is capable to enhance many applications such as text summarization, question answering and natural language generation. This work proposes an approach that expands the benefit of rhetorical relations to address redundancy problem for cluster-based text summarization of multiple documents. We exploited rhetorical relati...

In this paper we propose a course-grained NLP approach to text segmentation based on the analysis of lexical cohesion within text. Most work in this area has focused on the discovery of textual units that discuss subtopic structure within documents. In contrast our segmentation task requires the discovery of topical units of text i.e. distinct news stories from broadcast news programmes. Our sy...