Entity Typing On Ontonotes V5 English
Métriques
F1
Precision
Recall
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | F1 | Precision | Recall | Paper Title | Repository |
|---|---|---|---|---|---|
| ELMo (distant denoising data) | 40.2 | 51.5 | 33 | Learning to Denoise Distantly-Labeled Data for Entity Typing | |
| LabelGCN Xiong et al. (2019) | 36.9 | 50.3 | 29.2 | Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing | |
| MLMET | 49.1 | 53.6 | 45.3 | Ultra-Fine Entity Typing with Weak Supervision from a Masked Language Model | |
| Choi et al. (2018) w augmentation | 32.0 | 47.1 | 24.2 | Ultra-Fine Entity Typing |
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