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Table 3 Test results of relation extraction task on benchmark datasets using micro-averaged F1-score

From: Entity and relation extraction from clinical case reports of COVID-19: a natural language processing approach

Method/Dataset

ADE

BioInfer

i2b2-clinical

i2b2-2012

CHEMPROT

JNLPBA

N2C2

C4.5 DT [35]

71.30

64.17

69.61

69.32

77.24

67.97

65.59

BiLSTM-CRF [36]

80.13

82.10

76.93

73.60

78.14

76.09

71.35

BiLSTM-CNN [78]

79.74

74.40

68.91

72.13

73.44

72.41

70.10

RNNs [36]

80.10

82.20

80.15

78.04

77.00

78.14

75.57

CMAN [37]

81.10

73.10

68.44

74.32

73.70

66.65

68.50

Adversial [37]

75.50

79.60

69.19

78.10

72.94

69.34

69.57

Multi-att-CNN [79]

79.24

84.35

70.43

78.80

77.50

71.62

70.15

BLUE BERT [77]

80.39

82.09

72.32

79.10

79.98

80.56

79.10

BioBERT [13]

82.03

86.90

81.20

80.23

81.46

83.41

79.18

Our approach

90.00

88.88

90.12

85.03

88.95

84.50

84.10

  1. Bold means best score, italic second-best score