Named Entity Recognition On Bc5Cdr Disease
Métriques
F1
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | F1 | Paper Title | Repository |
|---|---|---|---|
| SciFive-Large | 87.62 | SciFive: a text-to-text transformer model for biomedical literature | |
| BioLinkBERT (large) | 86.39 | LinkBERT: Pretraining Language Models with Document Links | |
| HGN | 87.86 | Hero-Gang Neural Model For Named Entity Recognition | |
| BioMobileBERT | 84.62 | On the Effectiveness of Compact Biomedical Transformers | |
| DistilBioBERT | 85.42 | On the Effectiveness of Compact Biomedical Transformers | |
| CompactBioBERT | 85.38 | On the Effectiveness of Compact Biomedical Transformers | |
| BioDistilBERT | 85.61 | On the Effectiveness of Compact Biomedical Transformers | |
| BioMegatron | 88.5 | BioMegatron: Larger Biomedical Domain Language Model | |
| KeBioLM | 86.1 | Improving Biomedical Pretrained Language Models with Knowledge | |
| NCBI_BERT(base) (P) | 86.6 | - | - |
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