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Word embeddings are often criticized for capturing undesirable word associations such as gender stereotypes.
Hila Gonen and Yoav Goldberg. 2019 · 1903
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Thomas K Landauer and Susan T Dumais. 1997 · 1997
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A neural probabilistic language model
Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Jauvin. 2003 · 2003
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A unified architecture for natural language processing: Deep neural networks with multitask learning
Ronan Collobert and Jason Weston. 2008 · 2008
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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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Neural word embedding as implicit matrix factorization
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Tolga Bolukbasi, Kai-Wei Chang, James Y Zou, Venkatesh Saligrama, and Adam T Kalai. 2016 · 2016
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Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan, Joanna J Bryson, and Arvind Narayanan. 2017 · 2017
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The strange geometry of skip-gram with negative sampling
David Mimno and Laure Thompson. 2017 · 2017
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Towards understanding linear word analogies
Kawin Ethayarajh, David Duvenaud, and Graeme Hirst. 2018 · 2018
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Learning gender-neutral word embeddings
Jieyu Zhao, Yichao Zhou, Zeyu Li, Wei Wang, and Kai-Wei Chang. 2018 · 2018
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