BERT Finetune + UDA
Reported on 4 benchmarks across 2 tasks · 1 paper · 4 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing2 results
- Error· 2019-04-29SOTA37.12best: 31.67 (XLNet)
- Error· 2019-04-29SOTA3.5best: 2.11 (XLNet)
Methodology2 results
- Error· 2019-04-29SOTA37.12best: 31.67 (XLNet)
- Error· 2019-04-29SOTA3.5best: 2.11 (XLNet)