Sequence tagging + token-level transformations + two-stage fine-tuning (+BERT, RoBERTa, XLNet)
Reported on 3 benchmarks across 1 task · 1 paper · 2 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing3 results
- F0.5· 2020-05-26SOTA66.5best: 72.8 (Ensembles of best 7 models + GRECO + GTP-rerank)
- Precision· 2020-05-26SOTA78.2best: 83.9 (Ensembles of best 7 models + GRECO + GTP-rerank)
- Recall· 2020-05-2641.5best: 53.8 (Unsupervised GEC + cLang8)