Table 2 Comparison of overall performance on CG, PC and MLEE task (test set)
From: Biomedical event extraction with a novel combination strategy based on hybrid deep neural networks
| CG | PC | MLEE | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Methods | Recall | Precision | F1 Scores | Recall | Precision | F1 Scores | Recall | Precision | F1 Scores |
| RelAgent [6] | 41.73 | 49.58 | 45.32 | - | - | - | - | - | - |
| NCBI [5] | 38.28 | 58.84 | 46.38 | - | - | - | - | - | - |
| Zhou and Zhong [28] | - | - | - | - | - | - | 59.19 | 55.76 | 57.41 |
| TEES [8] | 48.76 | 64.17 | 55.41 | 47.15 | 55.78 | 51.10 | - | - | - |
| EventMine [9] | 48.83 | 55.82 | 52.09 | 52.23 | 53.48 | 52.84 | 49.56 | 62.28 | 55.20 |
| Wang et al. [12] | - | - | - | - | - | - | 56.23 | 60.65 | 58.31 |
| Li et al. [13] | - | - | - | - | - | - | 53.61 | 67.23 | 59.65 |
| TEES CNN [14] | 50.77 | 66.55 | 57.60 | 50.34 | 62.16 | 55.62 | - | - | - |
| Proposed | 51.91 | 65.81 | 58.04 | 50.65 | 61.95 | 55.73 | 55.02 | 66.08 | 60.05 |