Table 1 Performance of STL-DS and MTL-XC on all tasks
From: Hierarchical shared transfer learning for biomedical named entity recognition
| Dataset | STL | MTL-XC | ||||
|---|---|---|---|---|---|---|
| P. % | R. % | F1 | P. % | R. % | F1 | |
| Chemical | ||||||
| BC4CHEMD | 93.00 | 92.40 | 91.70 | 92.02 | 92.49 | 91.25 |
| BC5CDR | 92.76 | 93.96 | 93.36 | 93.43 | 92.94 | 93.19 |
| BioNLP11ID | 55.56 | 72.58 | 62.94 | 61.44 | 75.81 | 67.87 |
| BioNLP13CG | 83.20 | 85.14 | 84.16 | 82.35 | 80.88 | 81.61 |
| BioNLP13PC | 88.57 | 90.33 | 89.44 | 76.65 | 83.80 | 80.07 |
| CRAFT | 84.07 | 81.05 | 82.54 | 75.34 | 72.38 | 73.83 |
| Disease | ||||||
| BC5CDR | 84.83 | 88.11 | 86.44 | 86.40 | 87.34 | 86.87 |
| NCBI-disease | 87.27 | 89.27 | 88.26 | 87.80 | 89.73 | 88.75 |
| Gene and protein | ||||||
| BC2GM | 81.91 | 82.53 | 82.22 | 82.67 | 82.61 | 82.64 |
| BioNLP09 | 88.20 | 86.82 | 87.50 | 87.23 | 91.95 | 89.53 |
| BioNLP11EPI | 84.23 | 87.96 | 85.81 | 85.32 | 87.63 | 86.46 |
| BioNLP11ID | 89.22 | 89.65 | 89.43 | 89.6 | 88.47 | 89.03 |
| BioNLP13CG | 88.45 | 92.42 | 90.39 | 93.56 | 91.63 | 92.58 |
| BioNLP13GE | 73.57 | 83.51 | 78.22 | 77.62 | 90.55 | 83.59 |
| BioNLP13PC | 89.56 | 94.26 | 91.85 | 90.66 | 87.93 | 89.27 |
| CRAFT | 80.48 | 75.44 | 77.88 | 78.56 | 84.83 | 81.57 |
| Ex-PTM | 74.79 | 80.46 | 77.52 | 81.83 | 86.83 | 84.25 |
| JNLPBA | 71.98 | 80.04 | 75.80 | 72.58 | 85.04 | 78.32 |
| Species | ||||||
| BioNLP11ID | 85.41 | 82.03 | 83.68 | 91.22 | 70.24 | 79.37 |
| BioNLP13CG | 88.34 | 89.19 | 88.76 | 88.39 | 86.68 | 87.52 |
| CRAFT | 96.45 | 97.73 | 97.08 | 93.76 | 93.51 | 93.63 |
| LINNAEUS | 91.70 | 85.62 | 88.56 | 88.43 | 82.14 | 85.17 |