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Debiasing Word Embeddings with Nonlinear Geometry. (arXiv:2208.13899v1 [cs.CL])
Aug. 31, 2022, 1:13 a.m. | Lu Cheng, Nayoung Kim, Huan Liu
cs.CL updates on arXiv.org arxiv.org
Debiasing word embeddings has been largely limited to individual and
independent social categories. However, real-world corpora typically present
multiple social categories that possibly correlate or intersect with each
other. For instance, "hair weaves" is stereotypically associated with African
American females, but neither African American nor females alone. Therefore,
this work studies biases associated with multiple social categories: joint
biases induced by the union of different categories and intersectional biases
that do not overlap with the biases of the constituent categories. …
More from arxiv.org / cs.CL updates on arXiv.org
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