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OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings
AbstractLanguage representations are known to carry stereotypical biases and, as a result, lead to biased predictions in downstream tasks. While existing methods are effective at mitigating biases by linear projection, …...