TOCAB: A Dataset for Chinese Abusive Language Processing

This paper introduced TOCAB, a larger dataset for Chinese abusive language detection and classification. This dataset contains 121,344 real sentences collected from a social media site. Several baseline systems built by machine learning or deep learning were proposed to test this benchmark. BERT is the best baseline system which achieves F1-scores of 0.886 in detection and 0.781 in classification....