Named Entity Recognition on OntoNotes 4.0
79.18F1 ScoreBERT
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| BERT2021.05 | 79.18 | 1 | — | — | |
| TOKEECompression=~2X2021.05 | 78.98 | 2 | — | — | |
| SENTEECompression=~2X2021.05 | 77.48 | 1.94 | — | — | |
| NFLATLexicon=YJ Lexicon2022.05 | 77.21 | — | 75.17 | 79.37 | |
| FLATLexicon=YJ Lexicon2022.05 | 76.45 | — | — | — | |
| SoftLexiconLexicon=YJ Lexicon2022.05 | 76.16 | — | 77.13 | 75.22 | |
| LGNLexicon=YJ Lexicon2022.05 | 74.89 | — | 76.13 | 73.68 | |
| PLTELexicon=YJ Lexicon2022.05 | 74.6 | — | 76.78 | 72.54 | |
| LR-CNNLexicon=YJ Lexicon2022.05 | 74.45 | — | 76.4 | 72.6 | |
| WC-LSTMLexicon=YJ Lexicon2022.05 | 74.43 | — | 76.09 | 72.85 | |
| Lattice-LSTMLexicon=YJ Lexicon2022.05 | 73.88 | — | 76.35 | 71.56 | |
| CAN-NEREmbeddings=100d pre-trained character and bigram2019.11 | 73.64 | — | — | — | |
| TENERScaled Attention=false2019.11 | 72.43 | — | — | — | |
| TENERLexicon=YJ Lexicon2022.05 | 72.43 | — | — | — | |
| BiLSTM2019.11 | 71.81 | — | — | — | |
| TENERScaled Attention=true2019.11 | 71.72 | — | — | — | |
| Transformer2019.11 | 66.49 | — | — | — | |
| ID-CNN2019.11 | 62.25 | — | — | — |