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Gender bias exists in natural language datasets which neural language models tend to learn, resulting in biased text generation.
Hila Gonen and Yoav Goldberg. 2019 · 1903
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Identifying and reducing gender bias in word-level language models
Shikha Bordia and Samuel R. Bowman. 2019 · 1904
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Generating text with recurrent neural networks
Ilya Sutskever, James Martens, and Geoffrey Hinton. 2011 · 2011
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
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Teaching machines to read and comprehend
Karl Hermann, Tomáš Kočiský, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. 2015 · 2015
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Tolga Bolukbasi, Kai-Wei Chang, James Zou, Venkatesh Saligrama, and Adam Kalai. 2016 · 2016
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Men also like shopping: Reducing gender bias amplification using corpus-level constraints
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, and Kai-Wei Chag. 2017 · 2017
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Algorithmic bias? an empirical study into apparent gender-based discrimination in the display of stem career ads
Anja Lambrecht and Catherine E. Tucker. 2018 · 2018
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Google autocomplete still makes vile suggestions
Issie Lapowsky. 2018 · 2018
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Gender bias in neural natural language processing
Kaiji Lu, Piotr Mardziel, Fangjing Wu, Preetam Amancharla, and Anupam Datta. 2018 · 2018
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Learning gender-neutral word embeddings
Jieyu Zhao, Yichao Zhou, Zeyu Li, Wei Wang, and Chang Kaiwei. 2018 · 2018
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