Target-Demographic Classifier
The roBERTa-based target-demographic classifier is finetuned on the CONAN dataset for classifying whether a response's content is about one or multiple of the 8 target demographics, based on the topic classifier cardiffnlp/tweet-topic-21-multi
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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