Mitigating Gender Bias in Natural Language Processing: Literature Review

ACL 2019 Tony SunAndrew GautShirlyn TangYuxin HuangMai ElSheriefJieyu ZhaoDiba MirzaElizabeth BeldingKai-Wei ChangWilliam Yang Wang

As Natural Language Processing (NLP) and Machine Learning (ML) tools rise in popularity, it becomes increasingly vital to recognize the role they play in shaping societal biases and stereotypes. Although NLP models have shown success in modeling various applications, they propagate and may even amplify gender bias found in text corpora... (read more)

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