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Hate Speech Detection On Hatexplain

Metrics

AUROC
Accuracy
Macro F1

Results

Performance results of various models on this benchmark

Paper Title
BERT-MRP0.8620.7040.699Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection
BERT-RP0.8530.7070.693Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection
BERT-HateXplain [Attn]0.8510.6980.687HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
BERT-HateXplain [LIME]0.851-0.687HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
BERT [Attn]0.8430.690.674HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
BiRNN-HateXplain [Attn]0.805-0.629HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
BiRNN-Attn [Attn]0.7950.621-HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
CNN-GRU [LIME]0.7930.6290.614HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
BiRNN [LIME]0.7670.5950.575HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
XG-HSI-BiRNN-0.742-Explainable Identification of Hate Speech towards Islam using Graph Neural Networks
XG-HSI-BERT-0.751-Explainable Identification of Hate Speech towards Islam using Graph Neural Networks
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Hate Speech Detection On Hatexplain | SOTA | HyperAI