ClaC: Semantic Relatedness of Words and Phrases
نویسندگان
چکیده
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 Fmeasure of 77.4% on the task of evaluating the semantic similarity of words and compositional phrases.
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