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Table 2 Model Performance Comparison

From: Multitask learning for biomedical named entity recognition with cross-sharing structure

   Baseline Single-task Model (STM) Fully-shared Multi-task Model (FS-MTM) Shared-private Multi-task Model (SP-MTM) Adversarial Multi-task Model (ADV-MTM) Cross-sharing Multi-task Model (CS-MTM)
BC2GM Precision 84.00 83.34 84.51 83.66 83.12
  Recall 83.82 84.75 84.17 84.05 85.74
  F1 83.91 84.04 84.34 83.85 84.41
Ex-PTM Precision 70.83 72.56 70.45 76.60 74.73
  Recall 64.12 70.46 70.03 67.43 69.56
  F1 67.31 71.49 70.24 71.72 72.05
NCBI-disease Precision 88.45 84.39 87.11 86.02 86.59
  Recall 83.78 86.61 85.49 86.86 86.42
  F1 86.05 85.49 86.29 86.44 86.50
Linnaeus Precision 92.86 92.66 93.00 93.74 89.81
  Recall 67.62 66.76 73.86 73.81 76.12
  F1 78.25 77.60 82.33 82.59 82.40
  1. Bold: the best F1 score for the dataset