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Gender, race and social biases have recently been detected as evident examples of unfairness in applications of Natural Language Processing.
Long short-term memory
Hochreiter, S., Schmidhuber, J.: · 1997
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SRILM - an extensible language modeling toolkit
Stolcke, A.: · 2002
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A neural probabilistic language model
Bengio, Y., Ducharme, R., Vincent, P., Janvin, C.: · 2003
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Recurrent neural network based language model
Mikolov, T., Karafiát, M., Burget, L., Cernocký, J., Khudanpur, S.: · 2010
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Software Framework for Topic Modelling with Large Corpora
Řehůřek, R., Sojka, P.: · 2010
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Distributed representations of words and phrases and their compositionality
Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: · 2013
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Glove: Global vectors for word representation
Pennington, J., Socher, R., Manning, C.: · 2014
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Learning phrase representations using RNN encoder-decoder for statistical machine translation
Cho, K., van Merrienboer, B., Gülçehre, Ç., Bahdanau, D., Bougares, F., Schwenk, H., Bengio, Y.: · 2014
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Using word2vec to process big text data
Ma, L., Zhang, Y.: · 2015
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Man is to computer programmer as woman is to homemaker? debiasing word embeddings
Bolukbasi, T., Chang, K.W., Zou, J.Y., Saligrama, V., Kalai, A.T.: · 2016
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Language models with glove word embeddings
Makarenkov, V., Shapira, B., Rokach, L.: · 2016
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Pointer sentinel mixture models
Merity, S., Xiong, C., Bradbury, J., Socher, R.: · 2016
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Semantics derived automatically from language corpora necessarily contain human biases
Islam, A.C., Bryson, J.J., Narayanan, A.: · 2017
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Gender bias in neural natural language processing
Lu, K., Mardziel, P., Wu, F., Amancharla, P., Datta, A.: · 2018
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Exploring and mitigating gender bias in glove word embeddings (2018)
Vera, M.F.: · 2018
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Rao, S., Tetreault, J.: · 2018
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Generating clues for gender based occupation de-biasing in text
Madaan, N., Singh, G., Mehta, S., Chetan, A., Joshi, B.: · 2018
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Gender bias in coreference resolution: Evaluation and debiasing methods
Zhao, J., Wang, T., Yatskar, M., Ordonez, V., Chang, K.W.: · 2018
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Merity, S., Keskar, N.S., Socher, R.: · 2017
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Path-specific counterfactual fairness
Chiappa, S., Gilliam, T.P.: · 2018
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Gender bias in artificial intelligence: the need for diversity and gender theory in machine learning
Leavy, S.: · 2018
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Gender bias in coreference resolution
Rudinger, R., Naradowsky, J., Leonard, B., Van Durme, B.: · 2018
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Mind the GAP: A balanced corpus of gendered ambiguous pronouns
Webster, K., Recasens, M., Axelrod, V., Baldridge, J.: · 2018
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An Analysis of Neural Language Modeling at Multiple Scales
Merity, S., Keskar, N.S., Socher, R.: · 2018
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