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Table 3 Effects of the CNN layer and attention layer in our method

From: Entity recognition in Chinese clinical text using attention-based CNN-LSTM-CRF

Method

CCKS2017_CNER (%)

ICRC_CNER (%)

Precision

Recall

F1-score

Precision

Recall

F1-score

Our method

90.73

90.49

90.61

82.66

83.99

83.32

w/o CNN

91.11

90.48

90.79

83.72

82.53

83.12

w/o attention

90.61

90.23

90.42

83.16

83.29

83.22

w/o both

90.68

89.67

90.17

82.71

83.30

83.00

  1. Table 2 shows the performances of different methods on CCKS2017_CNER and ICRC_CNER, where the highest measures are in bold (the following sections also use the same way to denote the highest measures)