Papers with analogical evaluation task

1 papers
Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation (2020.emnlp-main)

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Challenge: Existing methods for gender bias mitigation for word embeddings are based on pre-trained word embeds . however, the assumption that the bias subspace is linear is untested .
Approach: They propose a method to isolate gender bias in word embeddings using pre-trained word embeds.
Outcome: The proposed method eliminates gender bias in word embeddings but assumes bias subspace is linear . the proposed method has some drawbacks, but it is a good one for a non-linear analysis.

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