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Abstract: This thesis is concerned with the measurement and application of lexical distributional similarity. Two words are said to be distributionally similar if they appear in similar contexts. This loose definition, however, has led to many measures being proposed or adopted from fields such as geometry, statistics, Information Retrieval (IR) and Information Theory. Our aim is to investigate the properties which make a good measure of lexical distributional similarity. We start by introducing the... (Update)
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BibTeX entry: (Update)
Julie Weeds. 2003. Measures and Applications of Lexical Distributional Similarity. Ph.D. thesis, Department of Informatics, University of Sussex. http://citeseer.ist.psu.edu/weeds03measures.html More
@phdthesis{ weeds-thesis,
author = "Julie Weeds",
title = "Measures and Applications of Lexical Distributional Similarity",
school = "Department of Informatics, University of Sussex",
year = 2003,
url = "citeseer.ist.psu.edu/weeds03measures.html" }
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