Applications of Lexical Cohesion in the Topic Detection and Tracking Domain (2004)
BibTeX
@MISC{Stokes04applicationsof,
author = {Nicola Stokes},
title = {Applications of Lexical Cohesion in the Topic Detection and Tracking Domain},
year = {2004}
}
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Abstract
This thesis investigates the appropriateness of using lexical cohesion analysis to improve the performance of Information Retrieval (IR) and Natural Language Processing (NLP) applications that deal with documents in the news domain. This thesis reports on the performance of some challenging, real-world applications of lexical cohesion analysis with respect to the performance of bag-of-words approaches to these problems. In particular, we attempt to enhance New Event Detection and News Story Segmentation performance: two tasks currently being investigated by the Topic Detection and Tracking (TDT) initiative, a research programme dedicated to the intelligent organisation of broadcast news and newswire data streams.
