Recognizing coherent structure of a text is an essential task in natural language understanding. It is necessary, for example, to resolve anaphora, ellipsis, and ambiguity. One of the dominant factors of coherence of the text structure is lexical cohesion, namely the dependency relationship between words based on associative relations in common knowledge. This thesis proposes an objective and c...

Lexical cohesion is a property of text, achieved through lexicalsemantic relations between words in text. Most information retrieval systems make use of lexical relations in text only to a limited extent. In this paper we empirically investigate whether the degree of lexical cohesion between the contexts of query terms' occurrences in a document is related to its relevance to the query. Experim...

this study compares and contrasts lexical cohesion in english and persian abstracts of iranian medical students’ theses to appreciate textualization processes in the two languages. for this purpose, one hundred english and persian abstracts were selected randomly and analyzed based on seddigh and yarmohamadi’s (1996) lexical cohesion framework, a version of halliday and hasan’s (1976) and halli...

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...

Lexical cohesion refers to the perceived unity of text achieved by the author’s usage of words with related meanings[1]. Data from an experiment with 22 readers aimed at eliciting lexical cohesive patterns they see in 10 texts [2, 3] is used to shed light on a number of theoretical and applied aspects of the phenomenon: which items in the text carry the cohesive load; what are the appropriate d...

This paper presents a connection between qualitative matrix theory and linear complementarity problems (LCPs). An LCP is said to be sign-solvable if the set of the sign patterns of the solutions is uniquely determined by the sign patterns of the given coefficients. We provide a characterization for sign-solvable LCPs such that the coefficient matrix has nonzero diagonals, which can be tested in...

We propose a maximum lexical cohesion (MLC) approach to news story segmentation. Unlike sentence-dependent lexical methods, our approach is able to detect story boundaries at finer word/subword granularity, and thus is more suitable for speech recognition transcripts which have no sentence delimiters. The proposed segmentation goodness measure takes account of both lexical cohesion and a prior ...