BriefGPT.xyz
Jun, 2019
自然语言处理中减轻性别偏见:文献综述
Mitigating Gender Bias in Natural Language Processing: Literature Review
HTML
PDF
Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief...
TL;DR
本文回顾了当今关于识别和减轻 NLP 中的性别偏置的研究,并分析了四种代表性偏置基础上的性别偏见和认识其方法,同时探讨了现有性别去偏方法的优缺点和未来的研究。
Abstract
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 mode
→