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Analogies such as "man is to king as woman is to X" are often used to illustrate the amazing power of word embeddings.
Manzini, Thomas, Yao Chong Lim, Yulia Tsvetkov, and Alan W Black. 2019b · 1904
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Manzini, Thomas, Yao Chong Lim, Yulia Tsvetkov, and Alan W Black. 2019c · 1904
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Software framework for topic modelling with large corpora
Řehůřek, Radim and Petr Sojka. 2010 · 2010
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Domain and function: A dual-space model of semantic relations and compositions
Turney, Peter D. 2012 · 2012
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Efficient estimation of word representations in vector space
Mikolov, Tomas, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
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Linguistic regularities in sparse and explicit word representations
Levy, Omer and Yoav Goldberg. 2014 · 2014
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Man is to computer programmer as woman is to homemaker? debiasing word embeddings
Bolukbasi, Tolga, Kai-Wei Chang, James Y Zou, Venkatesh Saligrama, and Adam T Kalai. 2016 · 2016
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Word embeddings, analogies, and machine learning: Beyond king - man + woman = queen
Drozd, Aleksandr, Anna Gladkova, and Satoshi Matsuoka. 2016 · 2016
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Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn’t
Gladkova, Anna, Aleksandr Drozd, and Satoshi Matsuoka. 2016 · 2016
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The social impact of natural language processing
Hovy, Dirk and Shannon L. Spruit. 2016 · 2016
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Issues in evaluating semantic spaces using word analogies
Linzen, Tal. 2016 · 2016
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Semantics derived automatically from language corpora contain human-like biases
Caliskan, Aylin, Joanna J Bryson, and Arvind Narayanan. 2017 · 2017
Cited alongside, same era.
Neural network methods for natural language processing
Goldberg, Yoav. 2017 · 2017
Cited alongside, same era.
When does a compliment become sexist? analysis and classification of ambivalent sexism using Twitter data
Jha, Akshita and Radhika Mamidi. 2017 · 2017
Cited alongside, same era.
The (too many) problems of analogical reasoning with word vectors
Rogers, Anna, Aleksandr Drozd, and Bofang Li. 2017 · 2017
Cited alongside, same era.
Word embeddings quantify 100 years of gender and ethnic stereotypes
Garg, Nikhil, Londa Schiebinger, Dan Jurafsky, and James Zou. 2018 · 2018
Cited alongside, same era.
The word analogy testing caveat
Schluter, Natalie. 2018 · 2018
Later among the works it cites.
AI can be sexist and racist-it’s time to make it fair
Zou, James and Londa Schiebinger. 2018 · 2018
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Evaluating the underlying gender bias in contextualized word embeddings
Basta, Christine, Marta Ruiz Costa-jussà, and Noe Casas. 2019 · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
Devlin, Jacob, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Analogy in Language and Linguistics , Oxford Bibliographies in Linguistics
Fischer, Olga. 2019 · 2019
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Lipstick on a pig: Debiasing methods cover up systematic gender biases in word embeddings but do not remove them
Gonen, Hila and Yoav Goldberg. 2019 · 2019
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Gebru, Timnit, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumeé III, and Kate Crawford. 2018 · 2018
Cited alongside, same era.
The geometry of culture: Analyzing meaning through word embeddings
Kozlowski, Austin C, Matt Taddy, and James A Evans. 2018 · 2018
Cited alongside, same era.
People’s councils for ethical machine learning
McQuillan, Dan. 2018 · 2018
Cited alongside, same era.
SemEval-2018 task 1: Affect in tweets
Mohammad, Saif, Felipe Bravo-Marquez, Mohammad Salameh, and Svetlana Kiritchenko. 2018 · 2018
Cited alongside, same era.
Deep contextualized word representations
Peters, Matthew, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
Cited alongside, same era.
Closest in time.
It’s all in the name: Mitigating gender bias with name-based counterfactual data substitution
Hall Maudslay, Rowan, Hila Gonen, Ryan Cotterell, and Simone Teufel. 2019 · 2019
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Black is to criminal as caucasian is to police: Detecting and removing multiclass bias in word embeddings
Manzini, Thomas, Lim Yao Chong, Alan W. Black, and Yulia Tsvetkov. 2019a · 2019
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On measuring social biases in sentence encoders
May, Chandler, Alex Wang, Shikha Bordia, Samuel R. Bowman, and Rachel Rudinger. 2019 · 2019
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Gender bias in contextualized word embeddings
Zhao, Jieyu, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, and Kai-Wei Chang. 2019 · 2019
Closest in time.