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Text corpora are widely used resources for measuring societal biases and stereotypes.
Word association norms, mutual information, and lexicography
Church, K. W.; and Hanks, P. 1990 · 1990
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Indexing by latent semantic analysis
Deerwester, S.; Dumais, S. T.; Furnas, G. W.; Landauer, T. K.; and Harshman, R. 1990 · 1990
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Adorable woman, expert man: Changing gender images of women and men in management
Kirchler, E. 1992 · 1992
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A framework for understanding Latent Semantic Indexing (LSI) performance
Kontostathis, A.; and Pottenger, W. M. 2006 · 2006
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Fightin’words: Lexical feature selection and evaluation for identifying the content of political conflict
Monroe, B. L.; Colaresi, M. P.; and Quinn, K. M. 2008 · 2008
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A latent semantic analysis of gender stereotype-consistency and narrowness in American English
Lenton, A. P.; Sedikides, C.; and Bruder, M. 2009 · 2009
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Software framework for topic modelling with large corpora
Rehurek, R.; and Sojka, P. 2010 · 2010
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Distributed representations of words and phrases and their compositionality
Mikolov, T.; Sutskever, I.; Chen, K.; Corrado, G. S.; and Dean, J. 2013 · 2013
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Neural word embedding as implicit matrix factorization
Levy, O.; and Goldberg, Y. 2014 · 2014
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Glove: Global vectors for word representation
Pennington, J.; Socher, R.; and Manning, C. 2014 · 2014
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Improving distributional similarity with lessons learned from word embeddings
Levy, O.; Goldberg, Y.; and Dagan, I. 2015 · 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.; and Kalai, A. T. 2016 · 2016
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Semantics derived automatically from language corpora contain human-like biases
Caliskan, A.; Bryson, J. J.; and Narayanan, A. 2017 · 2017
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Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models
Rekabsaz, N.; Lupu, M.; Baklanov, A.; Dür, A.; Andersson, L.; and Hanbury, A. 2017 · 2017
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Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
Zhao, J.; Wang, T.; Yatskar, M.; Ordonez, V.; and Chang, K.-W. 2017 · 2017
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Measuring and mitigating unintended bias in text classification
Dixon, L.; Li, J.; Sorensen, J.; Thain, N.; and Vasserman, L. 2018 · 2018
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Adversarial Removal of Demographic Attributes from Text Data
Elazar, Y.; and Goldberg, Y. 2018 · 2018
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Word embeddings quantify 100 years of gender and ethnic stereotypes
Attenuating Bias in Word vectors
Dev, S.; and Phillips, J. 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, H.; and Goldberg, Y. 2019 · 2019
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Vector-space models of semantic representation from a cognitive perspective: A discussion of common misconceptions
Günther, F.; Rinaldi, L.; and Marelli, M. 2019 · 2019
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Unsupervised Discovery of Gendered Language through Latent-Variable Modeling
Hoyle, A.; Wallach, H.; Augenstein, I.; and Cotterell, R. 2019 · 2019
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Gender-preserving Debiasing for Pre-trained Word Embeddings
Kaneko, M.; and Bollegala, D. 2019 · 2019
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It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution
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Garg, N.; Schiebinger, L.; Jurafsky, D.; and Zou, J. 2018 · 2018
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Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems
Kiritchenko, S.; and Mohammad, S. 2018 · 2018
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Gender bias in neural natural language processing
Lu, K.; Mardziel, P.; Wu, F.; Amancharla, P.; and Datta, A. 2018 · 2018
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Gender Bias in Coreference Resolution
Rudinger, R.; Naradowsky, J.; Leonard, B.; and Van Durme, B. 2018 · 2018
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Adversarial Removal of Demographic Attributes Revisited
Barrett, M.; Kementchedjhieva, Y.; Elazar, Y.; Elliott, D.; and Søgaard, A. 2019 · 2019
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Automatically Inferring Gender Associations from Language
Chang, S.; and McKeown, K. 2019 · 2019
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Bias in bios: A case study of semantic representation bias in a high-stakes setting
De-Arteaga, M.; Romanov, A.; Wallach, H.; Chayes, J.; Borgs, C.; Chouldechova, A.; Geyik, S.; Kenthapadi, K.; and Kalai, A. T. 2019 · 2019
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Maudslay, R. H.; Gonen, H.; Cotterell, R.; and Teufel, S. 2019 · 2019
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The Woman Worked as a Babysitter: On Biases in Language Generation
Sheng, E.; Chang, K.-W.; Natarajan, P.; and Peng, N. 2019 · 2019
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Gender Bias in Contextualized Word Embeddings
Zhao, J.; Wang, T.; Yatskar, M.; Cotterell, R.; Ordonez, V.; and Chang, K.-W. 2019 · 2019
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Examining Gender Bias in Languages with Grammatical Gender
Zhou, P.; Shi, W.; Zhao, J.; Huang, K.-H.; Chen, M.; Cotterell, R.; and Chang, K.-W. 2019 · 2019
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Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology
Zmigrod, R.; Mielke, S. J.; Wallach, H.; and Cotterell, R. 2019 · 2019
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A general framework for implicit and explicit debiasing of distributional word vector spaces
Lauscher, A.; Glavaš, G.; Ponzetto, S. P.; and Vulić, I. 2020 · 2020
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Do Neural Ranking Models Intensify Gender Bias?
Rekabsaz, N.; and Schedl, M. 2020 · 2068
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