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Table 2 Results of our TL strategy in terms of precision (P), recall (R) and f-measure (F)

From: Syntax-based transfer learning for the task of biomedical relation extraction

Test Corpus

Model

Train corpus

P

R

F

σF

SNPPhenA

TreeLSTM

SNPPhenA alone

58.9

73.8

65.5

4.1

  

+ SemEval 2013 DDI

65.2

71.1

68.0

4.7

  

+ ADE-EXT

62.8

72.1

67.2

3.4

  

+ reACE

61.8

74.3

67.1

3.6

 

MCCNN

SNPPhenA alone

55.1

75.0

63.3

4.8

  

+ SemEval 2013 DDI

55.3

74.4

63.3

4.9

  

+ ADE-EXT

56.1

73.2

63.2

4.8

  

+ reACE

53.2

70.9

60.6

4.1

EU-ADR drug-disease

TreeLSTM

EU-ADR drug-disease alone

74.8

84.1

79.1

12.3

  

+ SemEval 2013 DDI

74.8

90.6

82.0

13.1

  

+ ADE-EXT

73.9

88.2

80.4

13.7

  

+ reACE

74.3

91.1

79.3

14.3

 

MCCNN

EU-ADR drug-disease alone

73.3

94.7

80.2

14.2

  

+ SemEval 2013 DDI

72.6

87.9

76.6

14.3

  

+ ADE-EXT

73.0

85.5

76.0

14.5

  

+ reACE

74.1

91.5

79.2

13.8

EU-ADR drug-target

TreeLSTM

EU-ADR drug-target alone

72.4

90.6

80.2

10.9

  

+ SemEval 2013 DDI

71.9

95.5

82.5

8.5

  

+ ADE-EXT

70.2

96.7

80.9

9.2

  

+ reACE

70.4

96.5

80.8

9.3

 

MCCNN

EU-ADR drug-target alone

74.5

92.3

81.0

9.3

  

+ SemEval 2013 DDI

74.9

88.8

80.0

10.6

  

+ ADE-EXT

76.3

87.4

80.3

10.1

  

+ reACE

73.4

92.1

80.5

7.8

EU-ADR target-disease

TreeLSTM

EU-ADR target-disease alone

77.0

89.7

82.7

6.4

  

+ SemEval 2013 DDI

77.4

91.6

83.9

8.2

  

+ ADE-EXT

77.7

89.5

83.3

6.9

  

+ reACE

75.9

91.7

83.0

7.7

 

MCCNN

EU-ADR target-disease alone

76.9

91.8

82.6

7.7

  

+ SemEval 2013 DDI

77.6

90.6

82.5

7.1

  

+ ADE-EXT

75.5

87.4

81.8

10.1

  

+ reACE

77.1

91.2

82.0

6.8

  1. σF is the standard deviation of the f-measure. The + in the column Train corpus indicates that we trained our model using the target corpus plus one additional source corpus. Bold numbers correspond to the best performing models