Semantic Role Labeling on CoNLL 2012
97.2F1 ScoreDEEPSTRUCT
Evaluation Results
| Method | Links | |
|---|---|---|
| DEEPSTRUCTmode=multi-task2022.05 | 97.2 | |
| DEEPSTRUCTmode=w/ finetune2022.05 | 96 | |
| TANLTraining Setting=standard2021.01 | 87.7 | |
| TANLTraining Setting=multi-task2021.01 | 87.7 | |
| TANL2022.05 | 87.7 | |
| TANLTraining Setting=multi-dataset2021.01 | 87.6 | |
| ELMO-SPANModel Type=Ensemble2018.10 | 87 | |
| BERT SRLTraining Setting=standard2021.01 | 86.5 | |
| Shi and Lin, 20192022.05 | 86.5 | |
| ELMO-SPANModel Type=Single2018.10 | 86.2 | |
| He+ 18Model Type=Single2018.10 | 85.5 | |
| Tan+ 18Model Type=Ensemble2018.10 | 83.9 | |
| He+ 17Model Type=Ensemble2018.10 | 83.4 | |
| Dep and SpanTraining Setting=standard2021.01 | 83.1 | |
| Tan+ 18Model Type=Single2018.10 | 82.7 | |
| He+ 17Model Type=Single2018.10 | 81.7 | |
| Peters+ 18Model Type=Single2018.10 | 81.6 | |
| Zhou+ 15Model Type=Single2018.10 | 81.3 | |
| FitzGerald+ 15Model Type=Ensemble2018.10 | 80.1 | |
| FitzGerald+ 15Model Type=Single2018.10 | 79.6 | |
| Täckström+ 15Model Type=Single2018.10 | 79.4 |