Named Entity Recognition On Wnut 2016
Metrics
F1
Results
Performance results of various models on this benchmark
Model Name | F1 | Paper Title | Repository |
|---|---|---|---|
| AESINER | 55.14 | - | - |
| SA-NER | 55.01 | - | - |
| BERTweet | 52.1 | - | - |
| InferNER | 53.48 | - | - |
| CambridgeLTL | 52.41 | - | - |
| HGN | 59.50 | - | - |
| CL-KL | 58.98 | - | - |
0 of 7 row(s) selected.