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Table 9 Performances of the networks with and without multi-task learning on the two datasets

From: Multi-task learning for Chinese clinical named entity recognition with external knowledge

Dataset

Method

Precision

Recall

F-measure

CCKS2017

Single-task for NES

92.06

91.55

91.80

Single-task for NER

91.72

91.59

91.65

Multi-task for NER

91.91

91.78

91.84

FCCd

Single-task for NES

87.24

86.81

87.02

Single-task for NER

87.03

86.60

86.81

Multi-task for NER

87.32

86.79

87.05

  1. The best result is in bold