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Models/BERT-HateXplain [Attn]

BERT-HateXplain [Attn]

Reported on 6 benchmarks across 2 tasks · 1 paper · 6 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
    AUROC· 2020-12-18
    0.851
    best: 0.862 (BERT-MRP)
    SOTA
    HateXplain: A Benchmark Dataset for Explainable Hate Speech DetectionarXiv:2012.10289
  • Abuse DetectiononHateXplain
    Accuracy· 2020-12-18
    0.698
    best: 0.751 (XG-HSI-BERT)
    SOTA
    HateXplain: A Benchmark Dataset for Explainable Hate Speech DetectionarXiv:2012.10289
  • Abuse DetectiononHateXplain
    Macro F1· 2020-12-18
    0.687
    best: 0.699 (BERT-MRP)
    SOTA
    HateXplain: A Benchmark Dataset for Explainable Hate Speech DetectionarXiv:2012.10289
  • Hate Speech DetectiononHateXplain
    AUROC· 2020-12-18
    0.851
    best: 0.862 (BERT-MRP)
    SOTA
    HateXplain: A Benchmark Dataset for Explainable Hate Speech DetectionarXiv:2012.10289
  • Hate Speech DetectiononHateXplain
    Accuracy· 2020-12-18
    0.698
    best: 0.751 (XG-HSI-BERT)
    SOTA
    HateXplain: A Benchmark Dataset for Explainable Hate Speech DetectionarXiv:2012.10289
  • Hate Speech DetectiononHateXplain
    Macro F1· 2020-12-18
    0.687
    best: 0.699 (BERT-MRP)
    SOTA
    HateXplain: A Benchmark Dataset for Explainable Hate Speech DetectionarXiv:2012.10289