BERT-HateXplain [LIME]
Reported on 4 benchmarks across 2 tasks · 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
- AUROC· 2020-12-180.851best: 0.862 (BERT-MRP)
- Macro F1· 2020-12-180.687best: 0.699 (BERT-MRP)
- AUROC· 2020-12-180.851best: 0.862 (BERT-MRP)
- Macro F1· 2020-12-180.687best: 0.699 (BERT-MRP)