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Gender-preserving Debiasing for Pre-trained Word Embeddings

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References

1998Measuring individual differences in implicit cognition: The implicit association test.9,206 cited
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2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1,615 cited
2019Assessing gender bias in machine translation: a case study with Google Translate409 cited
2009Classifying without discriminating403 cited
2018Adversarial Removal of Demographic Attributes from Text Data242 cited

Cited by

2021Counterfactual Inference for Text Classification Debiasing77 cited
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2022Benchmarking Intersectional Biases in NLP50 cited
2022Unmasking the Mask – Evaluating Social Biases in Masked Language Models48 cited
2022Theories of “Gender” in NLP Bias Research46 cited
2020Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation44 cited
2020

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A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations

35 cited

2020Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings35 cited

2024Prevalence of bias against neurodivergence‐related terms in artificial intelligence language models34 cited

2024Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines33 cited

2021Dictionary-based Debiasing of Pre-trained Word Embeddings30 cited

2022Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving29 cited

2022Gender Bias in Masked Language Models for Multiple Languages29 cited

2020Extensive study on the underlying gender bias in contextualized word embeddings25 cited

2022Multi-objective search for gender-fair and semantically correct word embeddings22 cited