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Word embeddings are biased. But whose bias are they reflecting?

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References

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160 cited

2019Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them155 cited

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2023Transcending the “Male Code”: Implicit Masculine Biases in NLP Contexts16 cited