Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering

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Knowledge Triples

Source Entity	Relationship	Target Entity
Document Clustering Method	appliesTo	Empirical Distributions OtherEntity
Document Clustering Method	uses	Wasserstein Distance Metric
Word Embeddings Material	comparesWith	Traditional Approaches Method