Sequence tagging + token-level transformations + two-stage fine-tuning (+XLNet)
Reported on 4 benchmarks across 1 task · 1 paper
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing4 results
- F0.5· 2020-05-2665.3best: 72.8 (Ensembles of best 7 models + GRECO + GTP-rerank)
- Precision· 2020-05-2677.5best: 83.9 (Ensembles of best 7 models + GRECO + GTP-rerank)
- Recall· 2020-05-2640.1best: 53.8 (Unsupervised GEC + cLang8)
- F0.5· 2020-05-2672.4best: 81.4 (Majority-voting ensemble on best 7 models)