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Table 6 Impact of dataset size

From: Multitask learning for biomedical named entity recognition with cross-sharing structure

  

Full-size STM

Full-size CS-MTM

50%-size STM

50%-size CS-MTM

25%-size STM

25%-size CS-MTM

10%-size STM

10%-size CS-MTM

BC2GM

Precision

84.00

83.12

82.37

79.37

77.82

79.44

73.19

72.95

 

Recall

83.82

85.74

80.77

85.05

79.57

78.98

73.59

75.39

 

F1

83.91

84.41

81.56

82.12

78.69

79.21

73.39

74.15

Ex-PTM

Precision

70.83

74.73

67.74

68.18

57.46

54.00

42.47

50.69

 

Recall

64.12

69.56

58.62

67.48

53.69

63.97

50.27

41.68

 

F1

67.31

72.05

62.85

67.83

55.51

58.56

46.04

45.75

NCBI-disease

Precision

88.45

86.59

84.03

84.72

81.52

81.00

81.02

79.32

 

Recall

83.78

86.42

84.56

84.76

76.50

81.00

68.59

74.40

 

F1

86.05

86.50

84.30

84.74

78.93

81.00

74.29

76.78

Linnaeus

Precision

92.86

89.81

91.77

88.92

89.90

90.20

90.80

85.98

 

Recall

67.62

76.12

68.11

72.95

67.62

68.29

52.65

51.33

 

F1

78.25

82.40

78.19

80.15

77.18

77.73

66.65

64.29

  1. Bold: the better F1 scores between STM and CS-MTM for each dataset size