Semantic Role Labeling Predicted Predicates
Metrics
F1
Results
Performance results of various models on this benchmark
Model Name | F1 | Paper Title | Repository |
|---|---|---|---|
| LISA | 84.99 | Linguistically-Informed Self-Attention for Semantic Role Labeling | |
| He et al. 2018 + ELMo | 86.0 | Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling | |
| He et al. (2018) | 86.0 | Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling | |
| He et al. 2018 | 82.5 | Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling | |
| LISA + ELMo | 86.90 | Linguistically-Informed Self-Attention for Semantic Role Labeling |
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