“The model is used for classifying a text as Abusive (Hatespeech and Offensive) or Normal. The model is trained using data from Gab and Twitter and Human Rationales were included as part of the training data to boost the performance. The model also has a rationale predictor head that can predict the rationales given an abusive sentence.”https://huggingface.co/Hate-speech-CNERG/bert-base-uncased-hatexplain-rationale-two?text=I+like+you.+I+love+youShare this:FacebookXLike this:Like Loading... Post navigation Combating Hate Speech and Disinformation Against Social Polarization and How to be a Fact-Checking Influencer (Friedrich Naumann Foundation for Freedom) The Role of Context in Detecting the Target of Hate Speech (ACL Anthology)