This paper presents research that connects the cohesion structure of a text to the derivation of its coherence structure. Two diierent algorithms that derive the cohesion structure in the form of lexical paths from large thesauri are illustrated. Their results are correlated with (1) cue phrases of discourse usage and (2) coherence constraints empirically derived. A novel model of coherence str...

this study aims to understand certain linguistic and semantic resources for the text construction, namely the constructs of cohesion, coherence. the analysis of cohesive ties was conducted on the writing samples of 40 subjects (20 most coherent and 20 least coherent) iranian undergraduates of english. this prompted us to identify the dominant types of cohesive devices used in most coherent writ...

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 evaluated the effectiveness of new indices of text cohesion to determine the appropriate human assigned grade level of a text. In particular, we investigated the efficacy of automated text indices produced by the online tool CohMetrix in predicting the grade level assigned by publishers to their own textbooks. To do this, we sampled 311 school textbooks from a large database, choosing roughl...

An overview of TOPIC is provided, a knowledge-based text information system for the analysis of Germanlanguage texts. TOPIC supplies text condensates (summaries) on variable degrees of generality and makes available facts acquired from the texts. The presentation focuses on the major methodological principles underlying the design of TOPIC: a frame representation model that incorporates various...

With insight from linguistics that degrees of text cohesion are similar to forces in physics, and the frequent use of the energy concept in text categorization by machine learning, we consider the applicability of particle-wave duality to semantic content inherent in

Text representation is a central task for any approach to automatic learning from texts. It requires a format which allows to interrelate texts even if they do not share content words, but deal with similar topics. Furthermore, measuring text similarities raises the question of how to organize the resulting clusters. This paper presents cohesion trees (CT) as a data structure for the perspectiv...

In a previous paper we showed that providing a reflective/abstractive text can significantly improve how much middle motivation students learn from qualitative physics tutoring. In this paper we further find that the effect can be substantially improved by adjusting the cohesiveness of that text according to these students’ level of prior knowledge. However, in contrast to previous work in the ...

Lexical chains provide a representation of the lexical cohesion structure of a text. In this paper, we propose two lexical chain based cohesion models to incorporate lexical cohesion into document-level statistical machine translation: 1) a count cohesion model that rewards a hypothesis whenever a chain word occurs in the hypothesis, 2) and a probability cohesion model that further takes chain ...