tum-nlp/bert-counterspeech-classifier

Counter-Speech Classifier

The BERT-based counter-speech classifier is finetuned on the CONAN dataset for classifying whether a response is counter-speech, based on the counter-argument classifier ThinkCERCA/counterargument_hugging

Uses

The model is intended for classifying LM-generated dialogue responses, evaluating their validity as counter-speech.