Named Entity Recognition on Chinese MSRA (test)
96.72F1 ScoreBERT-MRC+DSC
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| BERT-MRC+DSCLoss=Self-adjusting Dice Loss (DSC)2019.11 | 96.72 | 96.67 | 96.77 | |
| BERT-MRC+DLLoss=Dice Loss2019.11 | 96.44 | 96.2 | 96.68 | |
| Baseline + BSBoundary Smoothing=true2022.04 | 96.26 | 96.37 | 96.15 | |
| Wu et al. (2021)2022.04 | 96.24 | — | — | |
| Li et al. (2020a)2022.04 | 96.09 | — | — | |
| BaselineBoundary Smoothing=false2022.04 | 95.8 | 95.82 | 95.78 | |
| BERT-MRC2019.11 | 95.75 | 96.18 | 95.12 | |
| Li et al. (2020b)2022.04 | 95.75 | 96.18 | 95.12 | |
| BERT-MRC2019.10 | 95.75 | 96.18 | 95.12 | |
| BERT-MRC+FLLoss=Focal Loss2019.11 | 95.67 | 95.45 | 95.89 | |
| Glyce-BERT2019.11 | 95.54 | 95.57 | 95.51 | |
| Glyce-BERT2019.10 | 95.54 | 95.57 | 95.51 | |
| Ma et al. (2020)2022.04 | 95.42 | 95.75 | 95.1 | |
| BERT-Tagger2019.11 | 94.8 | 94.97 | 94.62 | |
| BERT-Tagger2019.10 | 94.8 | 94.97 | 94.62 | |
| Lattice-LSTM2019.11 | 93.18 | 93.57 | 92.79 | |
| Zhang and Yang (2018)2022.04 | 93.18 | 93.57 | 92.79 | |
| Lattice-LSTM2019.10 | 93.18 | 93.57 | 92.79 |