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ERNIE (Enhanced Language RepresentatioN with Informative Entities) fuses lexical, syntactic, and knowledge information by stacking a textual T-Encoder (which functions like BERT) with a knowledge K-Encoder to represent word tokens and entities in a unified feature space.

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