FGN
Reported on 4 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 Processing4 results
- F1· 2020-01-15SOTA71.25best: 72.77 (BERT-CRF (Replicated in AdaSeq))
- F1· 2020-01-15SOTA96.79best: 96.87 (BERT-CRF (Replicated in AdaSeq))
- F1· 2020-01-1595.64best: 96.72 (BERT-MRC+DSC)
- F1· 2020-01-1582.04best: 84.47 (BERT-MRC+DSC)