We observe an instance of gender-induced bias in a downstream application, despite the absence of explicit gender words in the test cases. We provide a test set, SoWinoBias, for the purpose of measuring such latent gender bias in coreference resolution systems. We evaluate the performance of current debiasing methods on the SoWinoBias test set, especially in reference to the method's design and altered embedding space properties. See https://github.com/hillarydawkins/SoWinoBias.
@article{arxiv.2109.14047,
title = {Second Order WinoBias (SoWinoBias) Test Set for Latent Gender Bias Detection in Coreference Resolution},
author = {Hillary Dawkins},
journal= {arXiv preprint arXiv:2109.14047},
year = {2021}
}
Comments
7+2 pages. Published in the proceedings of the 3rd Workshop on Gender Bias in Natural Language Processing (co-located with ACL-IJCNLP 2021)