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Can Network Embedding of Distributional Thesaurus Be Combined with Word Vectors for Better Representation? (N18-1)

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Challenge: Distributed representations of words learned from text have proved to be successful in various natural language processing tasks.
Approach: They propose to embed a distributional thesaurus network into dense word vectors and compare them to state-of-the-art word representations.
Outcome: The proposed representations improve performance against state-of-the-art word representations even without handcrafted lexical resources.

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