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Table 2 F1 performance of STL, MTL-XC, and MTL-LS with different slicing rates

From: Hierarchical shared transfer learning for biomedical named entity recognition

Dataset

STL

MTL-XC

Slicng rate

0.25

0.50

0.75

1.00

Chemical

BC4CHEMD

91.70

91.25

91.82

92.24

92.37

92.47

BC5CDR

93.36

93.19

93.93

93.75

93.60

93.14

BioNLP11ID

62.94

67.87

42.29

52.98

73.41

73.71

BioNLP13CG

84.16

81.61

78.59

78.50

85.13

82.47

BioNLP13PC

89.44

80.07

81.25

82.13

84.03

86.00

CRAFT

82.54

73.83

76.73

79.74

77.96

79.44

Disease

BC5CDR

86.44

86.87

86.10

87.04

86.28

87.34

NCBI-disease

88.26

88.75

85.23

86.79

89.24

88.97

Gene and protein

BC2GM

82.22

82.64

79.85

81.54

81.94

82.94

BioNLP09

87.50

89.53

87.23

89.53

89.47

89.27

BioNLP11EPI

85.81

86.46

84.65

85.65

86.24

86.58

BioNLP11ID

89.43

89.03

83.62

82.69

89.59

86.55

BioNLP13CG

90.39

92.58

91.33

92.05

92.71

92.21

BioNLP13GE

78.22

83.59

81.29

82.61

82.73

84.03

BioNLP13PC

91.85

89.27

89.16

91.87

90.59

90.37

CRAFT

77.88

81.57

79.02

82.62

83.42

82.18

Ex-PTM

77.52

84.25

78.52

80.57

84.64

84.55

JNLPBA

75.80

78.32

75.08

77.00

77.32

77.66

Species

BioNLP11ID

83.68

79.37

70.91

77.45

83.74

79.00

BioNLP13CG

88.76

86.30

88.97

87.39

86.07

86.90

CRAFT

97.08

93.63

95.56

95.04

94.74

95.75

LINNAEUS

88.56

85.17

83.82

84.05

86.40

85.06

  1. Better scores of each metric are in bold