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Found 3 papers, 2 papers with code
Leveraging Pre-trained Language Models for Gender Debiasing
This work explores a light-weight method to generate gender variants for a given text using pre-trained language models as the resource, without any task-specific labelled data.
A predictive analytics approach for stroke prediction using machine learning and neural networks
Therefore, it is vital to study the interdependency of these risk factors in patients' health records and understand their relative contribution to stroke prediction.
Generating Gender Augmented Data for NLP
The method can be applied both for creating gender balanced outputs as well as for creating gender balanced training data.
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