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The Word Embedding Association Test shows that GloVe and word2vec word embeddings exhibit human-like implicit biases based on gender, race, and other social constructs (Caliskan et al., 2017).
The measurement of psychological androgyny
Sandra L. Bem. 1974 · 1974
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A simple sequentially rejective multiple test procedure
Sture Holm. 1979 · 1979
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Demarginalizing the intersection of race and sex: A black feminist critique of antidiscrimination doctrine, feminist theory, and antiracist politics
Kimberle Crenshaw. 1989 · 1989
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Measuring individual differences in implicit cognition: The implicit association test
Anthony G. Greenwald, Debbie E. McGhee, and Jordan L. K. Schwartz. 1998 · 1998
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Math = = male, me = = female, therefore math ≠ \neq me
Brian A. Nosek, Mahzarin R. Banaji, and Anthony G. Greenwald. 2002 · 2002
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Black Sexual Politics: African Americans, Gender, and the New Racism
Patricia Hill Collins. 2004 · 2004
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Penalties for success: Reactions to women who succeed at male gender-typed tasks
Madeline E. Heilman, Aaron S. Wallen, Daniella Fuchs, and Melinda M. Tamkins. 2004 · 2004
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Fast-track women and the “choice” to stay home
Pamela Stone and Meg Lovejoy. 2004 · 2004
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Understanding and using the implicit association test: III. Meta-analysis of predictive validity
Anthony G. Greenwald, T. Andrew Poehlman, Eric Luis Uhlmann, and Mahzarin R. Banaji. 2009 · 2009
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Crazy patriotism and angry (post)black women
D. Soyini Madison. 2009 · 2009
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Sister Citizen: Shame, Stereotypes, and Black Women in America
Melissa V. Harris-Perry. 2011 · 2011
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Distributional techniques for philosophical enquiry
Aurélie Herbelot, Eva von Redecker, and Johanna Müller. 2012 · 2012
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Raunch versus prude: contemporary sex blogs and erotic memoirs by women
Kaye Mitchell. 2012 · 2012
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
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Discrimination in online ad delivery
Latanya Sweeney. 2013 · 2013
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
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A large annotated corpus for learning natural language inference
Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning. 2015 · 2015
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Ain’t I a Woman: Black Women and Feminism , 2 edition
bell hooks. 2015 · 2015
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Deep unordered composition rivals syntactic methods for text classification
Mohit Iyyer, Varun Manjunatha, Jordan Boyd-Graber, and Hal Daumé III. 2015 · 2015
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Aligning books and movies: Towards story-like visual explanations by watching movies and reading books
Yukun Zhu, Ryan Kiros, Rich Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, and Sanja Fidler. 2015 · 2017
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How (and how not!) to control for morally relevant bias in NLP
Katherine Bailey and Oisin Deery. 2018 · 2018
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Gender shades: Intersectional accuracy disparities in commercial gender classification
Joy Buolamwini and Timnit Gebru. 2018 · 2018
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Universal sentence encoder for english
Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St. John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, Brian Strope, and Ray Kurzweil. 2018 · 2018
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Man is to computer programmer as woman is to homemaker? Debiasing word embeddings
Tolga Bolukbasi, Kai-Wei Chang, James Y Zou, Venkatesh Saligrama, and Adam T Kalai. 2016 · 2016
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Race, perceptions of femininity, and the power of the first lady: A comparative analysis
Andra Gillespie. 2016 · 2016
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Replication Data for: WEFAT and WEAT
Aylin Caliskan. 2017 · 2017
Cited alongside, same era.
Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan, Joanna J. Bryson, and Arvind Narayanan. 2017 · 2017
Cited alongside, same era.
Supervised learning of universal sentence representations from natural language inference data
Alexis Conneau, Douwe Kiela, Holger Schwenk, Loïc Barrault, and Antoine Bordes. 2017 · 2017
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Social bias in elicited natural language inferences
Rachel Rudinger, Chandler May, and Benjamin Van Durme. 2017 · 2017
Cited alongside, same era.
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Word embeddings quantify 100 years of gender and ethnic stereotypes
Nikhil Garg, Londa Schiebinger, Dan Jurafsky, and James Zou. 2018 · 2018
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Examining gender and race bias in two hundred sentiment analysis systems
Svetlana Kiritchenko and Saif Mohammad. 2018 · 2018
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Deep contextualized word representations
Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2018
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The glass ceiling in nlp
Natalie Schluter. 2018 · 2018
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Learning general purpose distributed sentence representations via large scale multi-task learning
Sandeep Subramanian, Adam Trischler, Yoshua Bengio, and Christopher J Pal. 2018 · 2018
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A broad-coverage challenge corpus for sentence understanding through inference
Adina Williams, Nikita Nangia, and Samuel Bowman. 2018 · 2018
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