Thematic Hierarchy Detection of a Text using Lexical Cohesion

Readers’ Perceptions of Lexical Cohesion in Text

Preliminary results from an experimental study of readers’ perceptions of lexical cohesion and lexical semantic relations in text are presented. Readers agree on a common “core” of groups of related words and exhibit individual differences. The majority of relations reported are “non-classical” (not hyponymy, meronymy, synonymy, or antonymy). A group of commonly used relations is presented. The...

The Subjectivity of Lexical Cohesion in Text

A reader’s perception of even an “objective” text is to some degree subjective. We present the results of a pilot study in which we looked at the degree of subjectivity in readers’ perceptions of lexical semantic relations, which are the building blocks of the lexical chains used in many applications in natural language processing. An example is presented in which the subjectivity reflects the ...

Extracting Sentences Using Lexical Cohesion for Arabic Text Summarization

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...

A Thematic Hierarchy for Efficient Generation from Lexical-Conceptual Structure

A Thematic Hierarchy for Eecient Generation from Lexical-conceptual Structure

This paper describes an implemented algorithm for syntactic realization of a target-language sentence from an interlingual representation called Lexical Conceptual Structure (LCS). We provide a mapping between LCS thematic roles and Abstract Meaning Representation (AMR) relations; these relations serve as input to an oo-the-shelf generator (Nitrogen). There are two contributions of this work: (...