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Table 6 NER results of different pretraining models on CCKS-2019

From: Named entity recognition of Chinese electronic medical records based on a hybrid neural network and medical MC-BERT

BERT models

Precision

Recall

F1

BERT-CRF

80.99

86.81

83.80

RoBERT-CRF

80.43

86.25

83.24

RoBERT-WWM + CRF

82.31

85.58

83.92

MC_BERT-CRF

84.23

85.43

84.43