README.md

metadata

license: mit
language:
  - en
base_model:
  - ThinkCERCA/counterargument_hugging
pipeline_tag: text-classification

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.