Improving Interpretability of Word Embeddings by Generating Definition and Usage

12 Dec 2019Haitong ZhangYongping DuJiaxin SunQingxiao Li

Word Embeddings, which encode semantic and syntactic features, have achieved success in many natural language processing tasks recently. However, the lexical semantics captured by these embeddings are difficult to interpret due to the dense vector representations... (read more)

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