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Found 2 papers, 1 papers with code
Explainable Disparity Compensation for Efficient Fair Ranking
We propose efficient sampling-based algorithms to calculate the number of bonus points to minimize disparity.
Merging datasets through deep learning
Our approach depends on (a) creating a deep learning model that maps surface forms of an entity into a set of vectors such that alternate forms for the same entity are closest in vector space, (b) indexing these vectors using a nearest neighbors algorithm to find the forms that can be potentially joined together.
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