Adversarial Scrubbing of Demographic Information for Text Classification.
Pages: 550 - 562
Published: Nov 1, 2021
Abstract
Contextual representations learned by language models can often encode undesirable attributes, like demographic associations of the users, while being trained for an unrelated target task. We aim to scrub such undesirable attributes and learn fair representations while maintaining performance on the target task. In this paper, we present an adversarial learning framework “Adversarial Scrubber” (AdS), to debias contextual representations. We...
Paper Details
Title
Adversarial Scrubbing of Demographic Information for Text Classification.
Published Date
Nov 1, 2021
Pages
550 - 562
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