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Jan, 2019
降低词向量中的偏见
Attenuating Bias in Word Vectors
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Sunipa Dev, Jeff Phillips
TL;DR
本研究探索检测嵌入式中最具有性别刻板印象的词语并消除偏见的新方法，揭示名字作为性别偏见的携带者的属性，扩展名字的属性来检测嵌入式中其他类型的偏见，如基于种族、年龄的偏见。
Abstract
word vector
representations are well developed tools for various
nlp
and
machine learning
tasks and are known to retain significant semant
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