Target-Group Classifier
The BERT-based target-demographic 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 NLP-LTU/bertweet-large-sexism-detector
Currently trained for the following classes: ["MIGRANTS", "POC", "LGBT+", "MUSLIMS", "WOMEN", "JEWS", "other", "DISABLED"]
Uses
The model is intended for classifying LM-generated dialogue responses, and evaluating their relevancy to the given input sequence.
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Model tree for tum-nlp/hatespeech-target-group-classifier
Base model
NLP-LTU/bertweet-large-sexism-detector