In this paper, we attack the problem of forming extracts for text summarization. Forming extracts involves selecting the most representative and significant sentences from the text. Our method takes advantage of the lexical cohesion structure in the text in order to evaluate significance of sentences. Lexical chains have been used in summarization research to analyze the lexical cohesion struct...

Syntactic simplification is the process of reducing the grammatical complexity of a text, while retaining its information content and meaning. The aim of syntactic simplification is to make text easier to comprehend for human readers, or process by programs. In this paper, we formalise the interactions that take place between syntax and discourse during the simplification process. This is impor...

We present results from an eye tracking study of automatic text summarization. Automatic text summarization is a growing field due to the modern world’s Internet based society, but to automatically create perfect summaries is challenging. One problem is that extraction based summaries often have cohesion errors. By the usage of an eye tracking camera, we have studied the nature of four differen...

The problem of automatic text segmentation is subcategorized into two different problems: thematic segmentation into rather large topically selfcontained sections and splitting into paragraphs, i.e., lexico-grammatical segmentation of lower level. In this paper we consider the latter problem. We propose a method of reasonably splitting text into paragraph based on a text cohesion measure. Speci...

1. HARD track The main theme in our participation in this year's HARD track was experimentation with the effect of lexical cohesion on document retrieval. Lexical cohesion is a major characteristic of natural language texts, which is achieved through semantic connectedness between words in text, and expresses continuity between the parts of text [7]. Segments of text which are about the same or...

This paper proposes a new indicator of text structure, called the lexical cohesion pro le (LCP), which locates segment boundaries in a text. A text segment is a coherent scene; the words in a segment are linked together via lexical cohesion relations. LCP records mutual similarity of words in a sequence of text. The similarity of words, which represents their cohesiveness, is computed using a s...

Text segmentation is a fundamental problem in natural language processing, which has application in information retrieval, question answering, and text summarization. Almost previous works on unsupervised text segmentation are based on the assumption of lexical cohesion, which is indicated by relations between words in the two units of text. However, they only take into account the reiteration,...

The present study investigates the use of conjunction cohesion in writing on the basis of text analyses and global scoring of 70 compositions. It analyzes the contrast of scores in pretest and posttest and the overall uses of conjunction cohesion in compositions, and studies the relationship between the frequencies of conjunction cohesion and writing quality. The research result reveals that th...