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A Comparison of WordNet and Roget's Taxonomy for Measuring Semantic Similarity

Michael Mc Hale
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Abstract

This paper presents the results of using Roget's International Thesaurus as the taxonomy in a semantic similarity measurement task. Four similarity metrics were taken from the literature and applied to Roget's The experimental evaluation suggests that the traditional edge counting approach does surprisingly well (a correlation of r=0.88 with a benchmark set of human similarity judgements, with an upper bound of r=0.90 for human subjects performing the same task.)

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BibTeXRIS

Michael Mc Hale. 1998-09-14. A Comparison of WordNet and Roget's Taxonomy for Measuring Semantic Similarity. https://arxiv.org/abs/cmp-lg/9809003

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