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SotA/Natural Language Processing/Abuse Detection/HateXplain

Abuse Detection on HateXplain

Metric: Accuracy (higher is better)

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#Model↕Accuracy▼Extra DataPaperDate↕Code
1XG-HSI-BERT0.751NoExplainable Identification of Hate Speech toward...2023-11-02-
2XG-HSI-BiRNN0.742NoExplainable Identification of Hate Speech toward...2023-11-02-
3BERT-RP0.707NoWhy Is It Hate Speech? Masked Rationale Predicti...2022-11-01Code
4BERT-MRP0.704NoWhy Is It Hate Speech? Masked Rationale Predicti...2022-11-01Code
5BERT-HateXplain [Attn]0.698NoHateXplain: A Benchmark Dataset for Explainable ...2020-12-18Code
6BERT [Attn]0.69NoHateXplain: A Benchmark Dataset for Explainable ...2020-12-18Code
7CNN-GRU [LIME]0.629NoHateXplain: A Benchmark Dataset for Explainable ...2020-12-18Code
8BiRNN-Attn [Attn]0.621NoHateXplain: A Benchmark Dataset for Explainable ...2020-12-18Code
9BiRNN [LIME]0.595NoHateXplain: A Benchmark Dataset for Explainable ...2020-12-18Code