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Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation

Grammatical patterns indicating stereotypical and non-stereotypical gender-role assignments are found in corpora from three domains, resulting in a first large-scale gender bias dataset of 108K diverse real-world English sentences, which lends itself to finetuning a coreference resolution model, finding it mitigates bias on a held out set.