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Table 7 Effects of different gating mechanisms in the gated convolutional layer on performance on the CDR dataset

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 (%)

GTRU (KCN)

70.61

60.41

65.12

65.37

12.57

21.09

69.65

72.98

71.28

GTU

71.74

59.29

64.92††

62.05

11.35

19.19††

69.98

70.64

70.31††

GLU

71.38

59.66

65.00††

60.11

10.32

17.61††

69.46

69.98

69.72††

  1. The descriptions and analysis for Table 7 could be found in subsection “Effects of gating mechanisms”. The marker and †† represent P-value < 0.05 and P-value < 0.01, respectively, using pairwise t-test against KCN. The highest scores are highlighted in bold