Papers with Contextual representations

1 papers
Adversarial Scrubbing of Demographic Information for Text Classification (2021.emnlp-main)

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Challenge: Existing frameworks to debias contextual representations can encode undesirable attributes, like demographic associations of the users, while being trained for an unrelated task.
Approach: They propose an adversarial learning framework to debias contextual representations by encoding undesirable attributes while being trained for an unrelated task.
Outcome: The proposed framework debiases representations on 8 datasets while remaining informative on the target task.

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