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Table 12 Detailed results achieved by the proposed MSTLTR Model and the Basic Model on DataMLEE. The Basic Model is trained only on the training and development sets of DataMLEE without transfer learning. MSTLTR Model is jointly trained on all available source domain datasets and the training and development sets of the target dataset DataMLEE using proposed transfer learning approach. The two models are tested on the test set of DataMLEE

From: A transfer learning model with multi-source domains for biomedical event trigger extraction

Trigger type Basic model    MSTLTR model   
  P R F1 P R F1
Cell proliferation 83.33 81.40 82.35 85.37 81.40 83.33
Development 74.51 77.55 76.00 79.59 79.59 79.59
Blood vessel develop 98.64 93.87 96.20 99.66 93.87 96.68
Growth 88.89 85.71 87.27 91.23 92.86 92.04
Death 66.67 81.08 73.17 74.36 78.38 76.32
Breakdown 73.68 63.64 68.29 83.33 68.18 75.00
Remodeling 75.00 30.00 42.86 83.33 50.00 62.50
Synthesis 33.33 25.00 28.57 80.00 100.00 88.89
Gene expression 85.40 88.64 86.99 89.13 93.18 91.11
Transcription 50.00 16.67 25.00 100.00 50.00 66.67
Protein Catabolism 0.0 0.0 0.0 100.00 20.00 33.33
Phosphorylation 75.00 100.00 85.71 100.00 100.00 100.00
Dephosphorylation 0.0 0.0 0.0 0.0 0.0 0.0
Localization 76.81 79.70 78.23 86.61 82.71 84.62
Binding 82.69 75.44 78.90 83.64 80.70 82.14
Regulation 65.13 61.35 63.18 66.84 63.29 65.01
Positive regulation 80.56 82.86 81.69 82.91 83.17 83.04
Negative regulation 76.67 75.10 75.88 83.91 78.78 81.26
Planned process 66.67 57.14 61.54 73.78 61.73 67.22
TOTAL 79.47 77.23 78.34 83.96 79.89 81.88