Named Entity Recognition on Weibo
67.6F1 ScoreGlyce+BERT
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Glyce+BERTincorporates_glyph=true2019.01 | 67.6 | 67.68 | 67.71 | — | |
| BERT2019.01 | 67.33 | 67.12 | 66.88 | — | |
| BERT2021.05 | 66.15 | — | — | 1 | |
| TOKEECompression=~4X2021.05 | 64.11 | — | — | 3.92 | |
| SLK-NERModels=SLK-NER2020.07 | 64 | 61.8 | 66.3 | — | |
| CGNModels=CGN[10]2020.07 | 63.1 | — | — | — | |
| BERTModels=BERT[12]2020.07 | 62.5 | 61.2 | 63.9 | — | |
| LGNModels=LGN[9]2020.07 | 60.2 | — | — | — | |
| LR-CNNModels=LR-CNN[7]2020.07 | 59.9 | — | — | — | |
| WC-LSTMModels=WC-LSTM[8]2020.07 | 59.8 | 52.6 | 67.4 | — | |
| MG-GNNModels=MG-GNN[11]2020.07 | 59.5 | 63.1 | 56.3 | — | |
| CAN-NEREmbeddings=100d pre-trained character and bigram2019.11 | 59.31 | — | — | — | |
| CANModels=CAN[14]2020.07 | 59.3 | 55.4 | 63 | — | |
| LatticeLSTMModels=LatticeLSTM[5]2020.07 | 58.8 | 53 | 62.3 | — | |
| TENERScaled Attention=false2019.11 | 58.17 | — | — | — | |
| SENTEECompression=~4X2021.05 | 57.84 | — | — | 3.86 | |
| TENERScaled Attention=true2019.11 | 57.4 | — | — | — | |
| BiLSTM2019.11 | 56.75 | — | — | — | |
| BiLSTM-CRFModels=BiLSTM-CRF[13]2020.07 | 56.6 | 60.8 | 52.9 | — | |
| Lattice-LSTM+Glyceincorporates_glyph=true2019.01 | 54.32 | 53.69 | 55.3 | — | |
| Lattice-LSTM2019.01 | 53.13 | 52.71 | 53.92 | — | |
| CRF-LSTM2019.01 | 50.95 | 51.16 | 51.07 | — | |
| Transformer2019.11 | 46.38 | — | — | — | |
| KnowCoder-XSetting=Zero-shot2024.11 | 44.01 | — | — | — | |
| YAYI-UIESetting=Zero-shot2024.11 | 38.03 | — | — | — | |
| IEPILESetting=Zero-shot2024.11 | 36.46 | — | — | — | |
| GPT-4Setting=Zero-shot2024.11 | 29.8 | — | — | — |