Target-Group Classifier
The BERT-based counter-argument classifier is finetuned on the combined dataset of CONAN and CrowdCounter for classifying whether a sequence is about one or multiple of the 8 target group, based on the sexism detector ThinkCERCA/counterargument_hugging
It classifies either a given sentence is a valid counter-narrative.
Uses
The model is intended for classifying LM-generated dialogue responses, and evaluating their validity as counter-narrative.
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This model is not currently available via any of the supported third-party Inference Providers, and
the HF Inference API does not support tf-keras models with pipeline type text-classification
Model tree for tum-nlp/counter-narrative-classifier
Base model
ThinkCERCA/counterargument_hugging