SensEmbed: Learning Sense Embeddings for Word and Relational Similarity

SensEmbed: Learning Sense Embeddings for Word and Relational Similarity

We propose a multi-faceted approach that transforms word embeddings to the sense level and leverages knowledge from a large semantic network for effective semantic similarity measurement.

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