BERT-RP

Reported on 6 benchmarks across 2 tasks · 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 Processing6 results

Abuse DetectiononHateXplain
Accuracy· 2022-11-01
0.707
best: 0.751 (XG-HSI-BERT)
SOTA
Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection arXiv:2211.00243
Hate Speech DetectiononHateXplain
Accuracy· 2022-11-01
0.707
best: 0.751 (XG-HSI-BERT)
SOTA
Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection arXiv:2211.00243
Abuse DetectiononHateXplain
AUROC· 2022-11-01
0.853
best: 0.862 (BERT-MRP)
Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection arXiv:2211.00243
Abuse DetectiononHateXplain
Macro F1· 2022-11-01
0.693
best: 0.699 (BERT-MRP)
Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection arXiv:2211.00243
Hate Speech DetectiononHateXplain
AUROC· 2022-11-01
0.853
best: 0.862 (BERT-MRP)
Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection arXiv:2211.00243
Hate Speech DetectiononHateXplain
Macro F1· 2022-11-01
0.693
best: 0.699 (BERT-MRP)
Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection arXiv:2211.00243