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Table 5 NER results of different pretraining models on CCKS-2017

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

89.89

94.02

91.91

RoBERT-CRF

89.57

92.83

91.17

RoBERT_WWM-CRF

91.00

94.66

92.80

MC_BERT-CRF

92.03

93.99

93.00