Skip to main content

Table 11 Comparison of participant systems and ours on PharmaCoNER test dataset

From: Analyzing transfer learning impact in biomedical cross-lingual named entity recognition and normalization

Name

Precision (%)

Recall (%)

F-score (%)

xiongying [10]

91.22

90.87

91.05

FSL [12]

90.62

91.31

90.96

m-stoeckel [11]

90.70

89.08

90.46

CongSun [26]

88.05

89.24

88.64

SBC-BERT

87.88

89.74

88.80

Extended NeuroNER

89.13

82.61

85.75

  1. Bold values are the best results for Precision (P), Recall (R) and F-score