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Table 4 The effect of the different ratios of positive and negative documents

From: A neural network approach to chemical and gene/protein entity recognition in patents

Ratio (positive:negative)

CEMP Dev

GPRO Dev

Precision

Recall

F-score

Precision

Recall

F-score

1:0

87.58

92.20

89.83

60.90

88.27

72.07

1:0.5

–

–

–

66.06

85.76

74.63

1:1

–

–

–

67.97

86.06

75.95

1:2

–

–

–

70.03

77.79

73.71

All training set

87.58

92.50

89.97

68.32

82.44

74.72

  1. On the CEMP corpus, only the ratio (1:0) and all training set were tested since the number of positive documents is more than the number of negative documents
  2. Italic values denote the highest values
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Journal of Cheminformatics

ISSN: 1758-2946

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