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Second Order WinoBias (SoWinoBias) Test Set for Latent Gender Bias Detection in Coreference Resolution

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arxiv 2109.14047 v1 pith:MFCYFNYN submitted 2021-09-28 cs.CL

classification cs.CL
keywords sowinobiastestbiasgendercoreferencelatentresolutionabsence
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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.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Investigating Intersectional Bias in Large Language Models using Confidence Disparities in Coreference Resolution

    cs.CL 2025-08 unverdicted novelty 5.0 of 10

    The abstract claims LLMs show up to 40% coreference confidence disparities across intersectional identities, but the article body is an unrelated paper on robotic fruit handling.

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