zhaojishun/GenderBiasPapers
Must-read Papers on Gender Bias.
This resource provides a curated collection of academic papers focused on gender bias in natural language processing (NLP) and related fields. It offers an organized list of research, including workshop proceedings, recent arXiv preprints, and papers categorized by specific topics like bias detection, measurement, and de-biasing techniques. Researchers and students working on fairness, ethics, and social implications in AI and computational linguistics will find this collection valuable.
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Use this if you are a researcher or student looking for a comprehensive and organized list of academic papers on gender bias in NLP.
Not ideal if you are looking for ready-to-use code, datasets, or practical tools for directly addressing bias in your own applications without engaging with academic literature.
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Sep 22, 2022
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