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Continuous-space word representation has demonstrated its effectiveness in many natural language pro-cessing(NLP) tasks. The basic idea for embedding training is to update embedding matrix based on its context. However, such context has been constrained on fixed surrounding words, which we believe are not sufficient to represent the actual relations for given center word. In this work we extend previous...
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