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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