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ClaC: Semantic Relatedness of Words and Phrases
August 19, 2017 ยท Declared Dead ยท ๐ International Workshop on Semantic Evaluation
"No code URL or promise found in abstract"
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Authors
Reda Siblini, Leila Kosseim
arXiv ID
1708.05801
Category
cs.CL: Computation & Language
Citations
5
Venue
International Workshop on Semantic Evaluation
Last Checked
5 months ago
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.
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