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Table 6 The effect of additional features on our development sets

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

Model

CEMP Dev

GPRO Dev

Precision

Recall

F-score

â–³

Precision

Recall

F-score

â–³

Baseline

87.58

92.50

89.97

–

67.97

86.06

75.95

–

+ POS feature

88.12

91.70

89.87

− 0.10

68.72

85.46

76.18

+0.23

+ Chunking feature

87.21

92.58

89.81

− 0.16

67.21

87.45

76.01

+0.06

+ NER feature

87.57

91.81

89.64

− 0.33

69.32

84.72

76.25

+0.30

+ All features

87.97

91.39

89.65

− 0.32

70.84

83.76

76.76

+0.81

  1. Italic values denote the highest values