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Table 6 Experimental results at CCKS2019, where (baseline) is the model comparison baseline

From: Chinese medical entity recognition based on the dual-branch TENER model

Model

P(%)

R(%)

F1 score(%)

BiLSTM-CRF(baseline)

81.49

80.52

81.00

IDCNN-CRF(baseline)

80.56

81.47

81.01

BERT-CRF(baseline)

81.82

79.33

80.56

Ra-RC(Wu et al.[19])

83.31

82.44

82.87

ELMo-ET-CRF

   

(Wan et al.[20])

83.65

87.61

85.59

(ELMo)-lattice-LSTM

   

-CRF(Li et al.[21])

84.69

85.35

85.02

Ours

85.70

87.18

86.41