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Table 4 Influences of curated CDR articles on the relation extraction results

From: Knowledge-guided convolutional networks for chemical-disease relation extraction

Method

Intra-sentence level

Inter-sentence level

Document level

P (%)

R (%)

F (%)

P (%)

R (%)

F (%)

P (%)

R (%)

F (%)

KCN

70.61

60.41

65.12

65.37

12.57

21.09

69.65

72.98

71.28

 -train&test

64.44

53.38

58.39

45.41

8.35

14.10

60.98

61.73

61.35

 -train

64.07

60.23

62.09

54.63

11.07

18.41

62.40

71.29

66.55

 -test

65.53

48.87

55.99

49.71

8.16

14.02

61.76

57.41

59.50

Only KB

59.44

65.85

62.48

31.34

21.49

26.36

50.41

87.24

63.90

  1. The descriptions and analysis for Table 4 could be found in subsection “Influences of the curated articles in the CDR dataset”. The highest scores are highlighted in bold