Papers with preserves non-discriminative gender-related information

1 papers
Gender-preserving Debiasing for Pre-trained Word Embeddings (P19-1)

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Challenge: Existing methods for debiasing word embeddings have shown discriminative biases . word embeds learnt from social media have shown to encode racist, offensive and discriminative language usage.
Approach: They propose a method that preserves gender-related information while removing stereotypical gender biases from pre-trained word embeddings.
Outcome: The proposed method preserves gender-related information while removing stereotypical discriminative gender biases from pre-trained word embeddings.

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