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Table 10 Results of SBC-BERT system for entity classification on test PharmaCoNER dataset

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

Entity

Precision (%)

Recall (%)

F-score (%)

PROTEINAS

84.46

88.46

86.41

NORMALIZABLES

91.86

92.02

91.94

UNCLEAR

70.59

81.82

75.79

NO_NORMALIZABLES

15.38

12.5

13.79

micro avg

87.88

89.74

88.80

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