Named Entity Recognition On Findvehicle
Métriques
F1
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | F1 | Paper Title | Repository |
|---|---|---|---|
| UniNER-7B | 98.3 | UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition | |
| FLERT | - | FLERT: Document-Level Features for Named Entity Recognition | - |
| BiLSTM-CRF | - | Bidirectional LSTM-CRF Models for Sequence Tagging |
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