A Transformer-Based Model for Named Entity Recognition in Winning Bid Text
This paper constructs TransBERT, which uses channel attention and bidirectional encoding representation of character-level features to explore the information in text, and shows that the performance of TransBERT is better than the current most advanced baseline model.
Yalan Ling, Zhuangye Luo, Feng Zeng et al.
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