| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| CoNLL 2003 (test) | MAGNET | F1 Score98.31 | 556 | 23h ago | |
| CoNLL 03 | KnowCoder-7B | F1 (Entity)95.1 | 135 | 16d ago | |
| CoNLL English 2003 (test) | ACE | F1 Score94.6 | 135 | 3mo ago | |
| OntoNotes | BERT-MRC+DSC | F1-score92.1 | 121 | 1mo ago | |
| BC5CDR | F1 Score93.5 | 102 | 12d ago | ||
| CoNLL Spanish NER 2002 (test) | ACE | F1 Score95.9 | 98 | 3mo ago | |
| Wnut 2017 | KnowCoder-X | F1 Score68.72 | 91 | 1mo ago | |
| OntoNotes 5.0 | LS-unLLaMA-2-7B | F1 Score92.1 | 90 | 1mo ago | |
| OntoNotes 5.0 (test) | Baseline + BS | F1 Score91.74 | 90 | 3mo ago | |
| CoNLL Dutch 2002 (test) | ACE | F1 Score95.7 | 87 | 3mo ago | |
| Conll 2003 | YAYI-UIE | F1 Score96.77 | 86 | 3mo ago | |
| BC5CDR (test) | BioBERT-v1.1 | Macro F1 (span-level)94.73 | 80 | 3mo ago | |
| CoNLL German 2003 (test) | Transformer-Linear (+DEV) | F1 Score88.34 | 78 | 3mo ago | |
| MIT Movie | B2NER | Entity F190.8 | 71 | 1mo ago | |
| NER (test) | ZEN (P) | F1 Score95.25 | 68 | 3mo ago | |
| MSRA (test) | MECT | F1 Score96.24 | 63 | 3mo ago | |
| WNUT 2017 (test) | End-to-end BLSTM-CRF | F1 Score60.98 | 63 | 3mo ago | |
| Few-NERD INTER 1.0 (test) | MSDP | Average F184.78 | 62 | 3mo ago | |
| CoNLL NER 2002/2003 (test) | ERNIE-M | German F1 Score86.2 | 59 | 3mo ago | |
| CrossNER | CascadeNER | AI Score75.8 | 59 | 16d ago | |
| WikiAnn (test) | DA-Net | Average Accuracy75.67 | 58 | 3mo ago | |
| ACE 2005 (test) | HySPA | F1 Score89.9 | 58 | 3mo ago | |
| GENIA | BERT-MRC | F1 Score83.8 | 58 | 1mo ago | |
| MIT Restaurant | HAMR | Micro-F182.1 | 57 | 1mo ago | |
| OntoNotes 4.0 (test) | Context-to-Vec | F1 Score89.52 | 55 | 3mo ago |
