Named Entity Recognition on Social
31.02F1 ScoreOurs
Evaluation results
| Method | Links | ||
|---|---|---|---|
| OursShots=5-shot2022.04 | 31.02 | — | |
| OursShots=1-shot2022.04 | 25.14 | — | |
| L-TapNet+CDTShots=5-shot2022.04 | 23.3 | — | |
| L-TapNet+CDTShots=1-shot2022.04 | 20.8 | — | |
| ProtoBERTShots=5-shot2022.04 | 17.26 | — | |
| Matching NetworkShots=1-shot2022.04 | 17.23 | — | |
| TransferBERTShots=5-shot2022.04 | 11.08 | — | |
| ProtoBERTShots=1-shot2022.04 | 10.68 | — | |
| SimBERTShots=5-shot2022.04 | 8.2 | — | |
| Matching NetworkShots=5-shot2022.04 | 6.61 | — | |
| SimBERTShots=1-shot2022.04 | 5.18 | — | |
| TransferBERTShots=1-shot2022.04 | 2.71 | — | |
| BioClinical-ModernBERTCtx=8192, Model Size=Base2026.05 | — | 56 | |
| CLM detourCtx=8192, Model Size=Base 150M, Training Tokens=10B tokens2026.05 | — | 55.7 | |
| CLM detourCtx=8192, Model Size=Base 150M, Training Tokens=50B tokens2026.05 | — | 54.2 | |
| CLM detourCtx=8192, Model Size=Large 350M, Training Tokens=50B tokens2026.05 | — | 56.5 | |
| MLM baselineCtx=8192, Model Size=Base 150M, Training Tokens=10B tokens2026.05 | — | 55.5 | |
| MLM baselineCtx=8192, Model Size=Base 150M, Training Tokens=50B tokens2026.05 | — | 55.7 | |
| MLM baselineCtx=8192, Model Size=Large 350M, Training Tokens=50B tokens2026.05 | — | 55 | |
| ModernBERT-baseCtx=8192, Model Size=Base2026.05 | — | 53.1 | |
| PubMedBERTCtx=512, Model Size=Base2026.05 | — | 48.7 |