Paper: ClaC: Semantic Relatedness of Words and Phrases

ACL ID S13-2019
Title ClaC: Semantic Relatedness of Words and Phrases
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

The measurement of phrasal semantic relat- edness is an important metric for many nat- ural language processing applications. In this paper, we present three approaches for mea- suring phrasal semantics, one based on a se- mantic network model, another on a distribu- tional similarity model, and a hybrid between the two. Our hybrid approach achieved an F- measure of 77.4% on the task of evaluating the semantic similarity of words and compo- sitional phrases.