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

ACL ID N10-1047
Title Information Content Measures of Semantic Similarity Perform Better Without Sense-Tagged Text
Venue Human Language Technologies
Session Main Conference
Year 2010
Authors

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 de- rive Information Content results in higher cor- relation with human similarity judgments than using the largest available corpus of manually annotated sense–tagged text.