Semantic Role Labeling Predicted Predicates 1
Métriques
F1
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | F1 | Paper Title | Repository |
|---|---|---|---|
| CRF2O + BERT | 85.45 | Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments | - |
| He et al. 2018 + ELMo | 82.9 | Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling | - |
| LISA | 82.33 | Linguistically-Informed Self-Attention for Semantic Role Labeling | - |
| Fei et al. 2021 (HeSyFu) + RoBERTa | 88.59 | - | - |
| He et al. 2018 | 79.8 | Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling | - |
| LISA + ELMo | 83.38 | Linguistically-Informed Self-Attention for Semantic Role Labeling | - |
| SpanRel | 82.4 | Generalizing Natural Language Analysis through Span-relation Representations | - |
0 of 7 row(s) selected.