Named Entity Recognition on CoNLL-2002 (test)
90.94F1 ScoremBERT (Wu and Dredze, 2019)
Evaluation Results
| Method | Links | |
|---|---|---|
| mBERT (Wu and Dredze, 2019)Evaluation script=CoNLL 2002, Reference=Wu and Dredze (2019)2020.01 | 90.94 | |
| BERT-NLEvaluation script=Seqeval Python library, Reference=Brandsen et al. (2019)2020.01 | 89.7 | |
| RobBERT v2Evaluation script=CoNLL 2002, lr=3e-5, batch size=32, dropout=0.12020.01 | 89.08 | |
| BERTjeEvaluation script=CoNLL 2002, Reference=de Vries et al. (2019)2020.01 | 88.3 | |
| RobBERT v1Evaluation script=CoNLL 20022020.01 | 87.53 | |
| mBERT (Devlin et al., 2019)Evaluation script=CoNLL 20022020.01 | 84.19 | |
| FrogEvaluation script=CoNLL 20022020.01 | 57.31 |