Method | Dataset | SER | F | Rel. P | Rel. R | Rel. F | Rel. SER |
---|
TC | All EVEX data | 1.56 | 8.86 | 39.29% | 41.98% | 40.59% | 1.23 |
TC, ETF | All EVEX data | 1.15 | 11.53 | 59.74% | 35.11% | 44.23% | 0.89 |
TC, ETF | B. subtilis PMIDs | 0.954 |
20.81
| 71.43% | 22.90% | 34.68% |
0.86
|
TC, ETF | GRN PMIDs |
0.939
| 17.39 | 80.00% | 18.32% | 29.81% |
0.86
|
- The SER score is the main evaluation criterion of the GRN challenge. The relaxed precision, recall, F and SER scores are produced by scoring the predictions regardless of the specific event types. TC refers to rule-based EVEX-GRN type conversion, ETF to rule-based entity type filtering. The ML-based methods are not shown because they are trained on this dataset.