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README.md
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The Token-Level Bias Classifier is a transformer-based model developed to detect and classify different types of biases present in text at the token level. It is designed to recognize stereotypical and anti-stereotypical biases towards gender, race, profession, and religion. The model can help in developing applications aimed at mitigating biased language use and promoting fairness and inclusivity in natural language processing tasks.
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# Token-Level Multidimensional Bias Classifier
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The Token-Level Bias Classifier is a transformer-based model developed to detect and classify different types of biases present in text at the token level. It is designed to recognize stereotypical and anti-stereotypical biases towards gender, race, profession, and religion. The model can help in developing applications aimed at mitigating biased language use and promoting fairness and inclusivity in natural language processing tasks.
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