Author: Hila Gonen, Yoav Goldberg
Publisher: Allen Institute for Artificial Intelligence
Publication Year: 2019
Summary: The following study talks about gender bias in word embeddings, an important component in Natural Language Processing. There have been debiasing methods that were created and widely used to help eliminate the bias, but the paper argues that current debiasing methods are superficial and are just hiding the bias, not completely eliminating it.