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Fairness for Text Classification Tasks with Identity Information Data Augmentation Methods
Counterfactual fairness methods address the question: How would the prediction change if the sensitive identity attributes referenced in the text instance were different?
Directed Graph Representation through Vector Cross Product
Although cross product between a pair of vectors is defined in three dimensional, the approach is extended to learn N dimensional embeddings while maintaining the non-commutative property.
Fairness-Aware Learning with Prejudice Free Representations
These models are trained over historical data that may contain information about sensitive attributes such as race, sex, religion, etc.
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