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ClaC: Semantic Relatedness of Words and Phrases (1708.05801v1)
Published 19 Aug 2017 in cs.CL
Abstract: The measurement of phrasal semantic relatedness is an important metric for many natural language processing applications. In this paper, we present three approaches for measuring phrasal semantics, one based on a semantic network model, another on a distributional 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 compositional phrases.