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Table 4 Average test accuracies and F1 for multi-class relation extraction with all instances

From: Incorporating representation learning and multihead attention to improve biomedical cross-sentence n-ary relation extraction

Method

Multi-class

 

Ternary accuracy

Ternary F1

Binary accuracy

Binary F1

GS GLSTM [12]

82.3

76.1

82.1

75.8

GCN (K=0) [15]

78.1

74.6

73.1

70.2

AGGCN [16]

79.7

75.5

77.5

73.5

Multihead attention

86.8

84.3

91.6

88.8

With KG

89.8*

86.8*

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