Paper: HsH: Estimating Semantic Similarity of Words and Short Phrases with Frequency Normalized Distance Measures

ACL ID S13-2008
Title HsH: Estimating Semantic Similarity of Words and Short Phrases with Frequency Normalized Distance Measures
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

This paper describes the approach of the Hochschule Hannover to the SemEval 2013 Task Evaluating Phrasal Semantics. In or- der to compare a single word with a two word phrase we compute various distributional sim- ilarities, among which a new similarity mea- sure, based on Jensen-Shannon Divergence with a correction for frequency effects. The classification is done by a support vector ma- chine that uses all similarities as features. The approach turned out to be the most successful one in the task.