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NAACL
2010

Information Content Measures of Semantic Similarity Perform Better Without Sense-Tagged Text

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Information Content Measures of Semantic Similarity Perform Better Without Sense-Tagged Text
This paper presents an empirical comparison of similarity measures for pairs of concepts based on Information Content. It shows that using modest amounts of untagged text to derive Information Content results in higher correlation with human similarity judgments than using the largest available corpus of manually annotated sense
Ted Pedersen
Added 14 Feb 2011
Updated 14 Feb 2011
Type Journal
Year 2010
Where NAACL
Authors Ted Pedersen
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