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SotA/Natural Language Processing/Text Classification/Civil Comments

Text Classification on Civil Comments

Metric: Precision (higher is better)

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#Model↕Precision▼Extra DataPaperDate↕Code
1Unfreeze Glove ResNet 440.4835NoA benchmark for toxic comment classification on ...2023-01-26Code
2Freeze Glove ResNet 440.4631NoA benchmark for toxic comment classification on ...2023-01-26Code
3RoBERTa Focal Loss0.4017NoA benchmark for toxic comment classification on ...2023-01-26Code
4RoBERTa BCE0.3836NoA benchmark for toxic comment classification on ...2023-01-26Code
5DistilBERT0.3572NoA benchmark for toxic comment classification on ...2023-01-26Code
6BiLSTM0.3572NoA benchmark for toxic comment classification on ...2023-01-26Code
7Compact Convolutional Transformer (CCT)0.3507NoA benchmark for toxic comment classification on ...2023-01-26Code
8BERTweet0.3363NoA benchmark for toxic comment classification on ...2023-01-26Code
9HateBERT0.3297NoA benchmark for toxic comment classification on ...2023-01-26Code
10AlBERT0.3247NoA benchmark for toxic comment classification on ...2023-01-26Code
11XLM RoBERTa0.3135NoA benchmark for toxic comment classification on ...2023-01-26Code
12XLNet0.3045NoA benchmark for toxic comment classification on ...2023-01-26Code