| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| ACE 2004 (test) | BINDER | F1 Score89.7 | 166 | 3d ago | |
| ACE 2005 (test) | BINDER | F1 Score90 | 153 | 3d ago | |
| GENIA (test) | DIFFUSIONNER | F1 Score81.53 | 140 | 3d ago | |
| GENIA | BERT-MRC | F1 Score83.8 | 56 | 3d ago | |
| ACE 2005 | BERT-MRC | F1 Score86.9 | 52 | 3d ago | |
| ACE 2004 | BARTNER (Word) | F1 Score (%)86.84 | 32 | 3d ago | |
| KBP English 2017 (test) | Triaffine | Precision89.42 | 28 | 3d ago | |
| NNE (test) | PIQN | Precision93.85 | 12 | 3d ago | |
| plasma physics NNER dataset (test) | Triaffine (Span-based Attention network) | Precision73 | 11 | 3d ago | |
| CNEC 1.0 (test) | seq2seq+BERT+Flair | F1 Score86.88 | 9 | 3d ago | |
| GENIA 3.02 (test) | Yu et al. | F1 Score0.805 | 8 | 3d ago | |
| ACE 2005 8:1:1 split (test) | Sequence-to-Set Network | F1 Score87.05 | 8 | 3d ago | |
| Chilean Waiting List | Biaffine | Precision81 | 7 | 3d ago | |
| ACE 8:1:1 2004 (test) | Sequence-to-Set Network | F1 Score87.26 | 6 | 3d ago | |
| English KBP 2017 | BERT-MRC | Precision82.33 | 3 | 3d ago | |
| NNE | Nested NER as Latent Lexicalized Constituency Parsing | Precision94.32 | 2 | 3d ago |
