POS tagging on ARK-Twitter (test)
94.4AccuracyACE
Evaluation Results
| Method | Links | |
|---|---|---|
| ACEFine-tuning=true, Trained on both train and development set=true2020.10 | 94.4 | |
| XLM-R-largeNormalization strategy=soft2020.05 | 94.2 | |
| BERTweetNormalization strategy=soft2020.05 | 94.1 | |
| Nguyen et al.2020.10 | 94.1 | |
| XLM-R-largeNormalization strategy=hard2020.05 | 93.8 | |
| RoBERTa-largeNormalization strategy=soft2020.05 | 93.7 | |
| XLM-RFine-tuning=true, Trained on both train and development set=true2020.10 | 93.7 | |
| BERTweetNormalization strategy=hard2020.05 | 93.4 | |
| RoBERTa-largeNormalization strategy=hard2020.05 | 93.2 | |
| ARKtaggerNormalization strategy=hard, Additional training data=Training+Validation sets (+b)2020.05 | 93.2 | |
| Owoputi et al.2020.10 | 93.2 | |
| XLM-R-baseNormalization strategy=soft2020.05 | 92.8 | |
| TPANNNormalization strategy=hard, Additional training data=WSJ Penn treebank (+a) and Training+Validation sets (+b)2020.05 | 92.8 | |
| XLM-R-baseNormalization strategy=hard2020.05 | 92.6 | |
| DCNNNormalization strategy=hard, Additional training data=WSJ Penn treebank (+a) and Training+Validation sets (+b)2020.05 | 92.4 | |
| Gui et al. (2018)2020.10 | 92.4 | |
| RoBERTa-baseNormalization strategy=soft2020.05 | 91.8 | |
| RoBERTa-baseNormalization strategy=hard2020.05 | 91.6 |