Named Entity Recognition on CoNLL Dutch 2002 original (test)
95.21F1 ScoreTransformer-Linear
Evaluation Results
| Method | Links | |
|---|---|---|
| Transformer-LinearApproach=Fine-tuning (Ablations), Document features=yes (+enforce)2020.11 | 95.21 | |
| Transformer-Linear (+DEV)Approach=Fine-tuning (Ablations), Document features=yes (+enforce), Training=Includes dev data2020.11 | 95.19 | |
| Transformer-LinearApproach=Fine-tuning, Document features=yes2020.11 | 94.87 | |
| Yu et al. (2020)Document features=yes2020.11 | 93.7 | |
| Transformer-LinearApproach=Fine-tuning, Document features=no2020.11 | 93.5 | |
| Straková et al. (2019)Document features=yes2020.11 | 92.69 | |
| LSTM-CRF (all layer mean)Approach=Feature-based, Document features=yes2020.11 | 91.73 | |
| Akbik et al. (2019b)Document features=pooling2020.11 | 90.44 | |
| LSTM-CRF (all layer mean)Approach=Feature-based, Document features=no2020.11 | 89.87 |