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Towards Debiasing Sentence Representations
[article]
2020
arXiv
pre-print
As natural language processing methods are increasingly deployed in real-world scenarios such as healthcare, legal systems, and social science, it becomes necessary to recognize the role they potentially play in shaping social biases and stereotypes. Previous work has revealed the presence of social biases in widely used word embeddings involving gender, race, religion, and other social constructs. While some methods were proposed to debias these word-level embeddings, there is a need to
arXiv:2007.08100v1
fatcat:szeqyyiikzcmhdihuea2wowd54