SlowGuess/ACL_2020_OCR huggingface dataset:
Su Lin Blodgett, Lisa Green, and Brendan O'Connor. 2016. Demographic Dialectal Variation in Social Media: A Case Study of African-American English. In Proceedings of Empirical Methods in Natural Language Processing (EMNLP), pages 1119-1130, Austin, TX.
Su Lin Blodgett and Brendan O'Connor. 2017. Racial Disparity in Natural Language Processing: A Case Study of Social Media African-American English. In Proceedings of the Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT/ML), Halifax, Canada.
Su Lin Blodgett, Johnny Wei, and Brendan O'Connor. 2018. Twitter Universal Dependency Parsing for African-American and Mainstream American English. In Proceedings of the Association for Computational Linguistics (ACL), pages 1415-1425, Melbourne, Australia.
Tolga Bolukbasi, Kai-Wei Chang, James Zou, Venkatesh Saligrama, and Adam Kalai. 2016a. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings. In Proceedings of the Conference on Neural Information Processing Systems, pages 4349-4357, Barcelona, Spain.
Tolga Bolukbasi, Kai-Wei Chang, James Zou, Venkatesh Saligrama, and Adam Kalai. 2016b. Quantifying and reducing stereotypes in word embeddings. In Proceedings of the ICML Workshop on #Data4Good: Machine Learning in Social Good Applications, pages 41-45, New York, NY.
Shikha Bordia and Samuel R. Bowman. 2019. Identifying and reducing gender bias in word-level language models. In Proceedings of the NAACL Student Research Workshop, pages 7-15, Minneapolis, MN.
Marc-Etienne Brunet, Colleen Alkalay-Houlihan, Ashton Anderson, and Richard Zemel. 2019. Understanding the Origins of Bias in Word Embeddings. In Proceedings of the International Conference on Machine Learning, pages 803-811, Long Beach, CA.
Mary Bucholtz, Dolores Inés Casillas, and Jin Sook Lee. 2016. Beyond Empowerment: Accompaniment and Sociolinguistic Justice in a Youth Research Program. In Robert Lawson and Dave Sayers, editors, Sociolinguistic Research: Application and Impact, pages 25-44. Routledge.
Mary Bucholtz, Dolores Inés Casillas, and Jin Sook Lee. 2019. California Latinx Youth as Agents of Sociolinguistic Justice. In Netta Avineri, Laura R. Graham, Eric J. Johnson, Robin Conley Riner, and Jonathan Rosa, editors, Language and Social Justice in Practice, pages 166-175. Routledge.
Mary Bucholtz, Audrey Lopez, Allina Mojarro, Elena Skapoulli, Chris VanderStouwe, and Shawn Warner-Garcia. 2014. Sociolinguistic Justice in the Schools:
Student Researchers as Linguistic Experts. Language and Linguistics Compass, 8:144-157.
Kaylee Burns, Lisa Anne Hendricks, Kate Saenko, Trevor Darrell, and Anna Rohrbach. 2018. Women also Snowboard: Overcoming Bias in Captioning Models. In Proceedings of the European Conference on Computer Vision (ECCV), pages 793-811, Munich, Germany.
Aylin Caliskan, Joanna J. Bryson, and Arvind Narayanan. 2017. Semantics derived automatically from language corpora contain human-like biases. Science, 356(6334).
Kathryn Campbell-Kibler. 2009. The nature of sociolinguistic perception. Language Variation and Change, 21(1):135-156.
Yang Trista Cao and Hal Daumé, III. 2019. Toward gender-inclusive coreference resolution. arXiv preprint arXiv:1910.13913.
Rakesh Chada. 2019. Gendered pronoun resolution using bert and an extractive question answering formulation. In Proceedings of the Workshop on Gender Bias in Natural Language Processing, pages 126-133, Florence, Italy.
Kaytlin Chaloner and Alfredo Maldonado. 2019. Measuring Gender Bias in Word Embedding across Domains and Discovering New Gender Bias Word Categories. In Proceedings of the Workshop on Gender Bias in Natural Language Processing, pages 25-32, Florence, Italy.
Anne H. Charity Hudley. 2017. Language and Racialization. In Ofelia García, Nelson Flores, and Massimiliano Spotti, editors, The Oxford Handbook of Language and Society. Oxford University Press.
Won Ik Cho, Ji Won Kim, Seok Min Kim, and Nam Soo Kim. 2019. On measuring gender bias in translation of gender-neutral pronouns. In Proceedings of the Workshop on Gender Bias in Natural Language Processing, pages 173-181, Florence, Italy.
Shivang Chopra, Ramit Sawhney, Puneet Mathur, and Rajiv Ratn Shah. 2020. Hindi-English Hate Speech Detection: Author Profiling, Debiasing, and Practical Perspectives. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), New York, NY.
Marika Cifor, Patricia Garcia, T.L. Cowan, Jasmine Rault, Tonia Sutherland, Anita Say Chan, Jennifer Rode, Anna Lauren Hoffmann, Niloufar Salehi, and Lisa Nakamura. 2019. Feminist Data ManifestNo. Retrieved from https://www.manifestno.com/.
Patricia Hill Collins. 2000. Black Feminist Thought: Knowledge, Consciousness, and the Politics of Empowerment. Routledge.
Justin T. Craft, Kelly E. Wright, Rachel Elizabeth Weissler, and Robin M. Queen. 2020. Language and Discrimination: Generating Meaning, Perceiving Identities, and Discriminating Outcomes. Annual Review of Linguistics, 6(1).
Kate Crawford. 2017. The Trouble with Bias. Keynote at NeurIPS.
Kimberle Crenshaw. 1989. Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory and Antiracist Politics. University of Chicago Legal Forum.
Amanda Cercas Curry and Verena Rieser. 2018. #MeToo: How Conversational Systems Respond to Sexual Harassment. In Proceedings of the Workshop on Ethics in Natural Language Processing, pages 7-14, New Orleans, LA.
Karan Dabas, Nishtha Madaan, Gautam Singh, Vijay Arya, Sameep Mehta, and Tanmoy Chakraborty. 2020. Fair Transfer of Multiple Style Attributes in Text. arXiv preprint arXiv:2001.06693.
Thomas Davidson, Debasmita Bhattacharya, and Ingmar Weber. 2019. Racial bias in hate speech and abusive language detection datasets. In Proceedings of the Workshop on Abusive Language Online, pages 25-35, Florence, Italy.
Maria De-Arteaga, Alexey Romanov, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Geyik, Krishnamaram Kenthapadi, and Adam Tauman Kalai. 2019. Bias in bios: A case study of semantic representation bias in a high-stakes setting. In Proceedings of the Conference on Fairness, Accountability, and Transparency, pages 120-128, Atlanta, GA.
Sunipa Dev, Tao Li, Jeff Phillips, and Vivek Srikumar. 2019. On Measuring and Mitigating Biased Inferences of Word Embeddings. arXiv preprint arXiv:1908.09369.
Sunipa Dev and Jeff Phillips. 2019. Attenuating Bias in Word Vectors. In Proceedings of the International Conference on Artificial Intelligence and Statistics, pages 879-887, Naha, Japan.
Mark Díaz, Isaac Johnson, Amanda Lazar, Anne Marie Piper, and Darren Gergle. 2018. Addressing age-related bias in sentiment analysis. In Proceedings of the Conference on Human Factors in Computing Systems (CHI), Montréal, Canada.
Emily Dinan, Angela Fan, Adina Williams, Jack Urbanek, Douwe Kiela, and Jason Weston. 2019. Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation. arXiv preprint arXiv:1911.03842.
Carl DiSalvo, Andrew Clement, and Volkmar Pipek. 2013. Communities: Participatory Design for, with and by communities. In Jesper Simonsen and Toni
Robertson, editors, Routledge International Handbook of Participatory Design, pages 182-209. Routledge.
Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, and Lucy Vasserman. 2018. Measuring and mitigating unintended bias in text classification. In Proceedings of the Conference on Artificial Intelligence, Ethics, and Society (AIES), New Orleans, LA.
Jacob Eisenstein. 2013. What to do about bad language on the Internet. In Proceedings of the North American Association for Computational Linguistics (NAACL), pages 359-369.
Kawin Ethayarajh. 2020. Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds. In Proceedings of the Association for Computational Linguistics (ACL).
Kawin Ethayarajh, David Duvenaud, and Graeme Hirst. 2019. Understanding Undesirable Word Embedding Associations. In Proceedings of the Association for Computational Linguistics (ACL), pages 1696-1705, Florence, Italy.
Joseph Fisher. 2019. Measuring social bias in knowledge graph embeddings. arXiv preprint arXiv:1912.02761.
Nelson Flores and Sofia Chaparro. 2018. What counts as language education policy? Developing a materialist Anti-racist approach to language activism. Language Policy, 17(3):365-384.
Omar U. Florez. 2019. On the Unintended Social Bias of Training Language Generation Models with Data from Local Media. In Proceedings of the NeurIPS Workshop on Human-Centric Machine Learning, Vancouver, Canada.
Joel Escudé Font and Marta R. Costa-jussa. 2019. Equalizing gender biases in neural machine translation with word embeddings techniques. In Proceedings of the Workshop on Gender Bias for Natural Language Processing, pages 147-154, Florence, Italy.
Batya Friedman and David G. Hendry. 2019. Value Sensitive Design: Shaping Technology with Moral Imagination. MIT Press.
Batya Friedman, Peter H. Kahn Jr., and Alan Borning. 2006. Value Sensitive Design and Information Systems. In Dennis Galletta and Ping Zhang, editors, Human-Computer Interaction in Management Information Systems: Foundations, pages 348-372. M.E. Sharpe.
Nikhil Garg, Londa Schiebinger, Dan Jurafsky, and James Zou. 2018. Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes. Proceedings of the National Academy of Sciences, 115(16).
Sahaj Garg, Vincent Perot, Nicole Limtiaco, Ankur Taly, Ed H. Chi, and Alex Beutel. 2019. Counterfactual fairness in text classification through robustness. In Proceedings of the Conference on Artificial Intelligence, Ethics, and Society (AIES), Honolulu, HI.
Aparna Garimella, Carmen Banea, Dirk Hovy, and Rada Mihalcea. 2019. Women's syntactic resilience and men's grammatical luck: Gender bias in part-of-speech tagging and dependency parsing data. In Proceedings of the Association for Computational Linguistics (ACL), pages 3493-3498, Florence, Italy.
Andrew Gaut, Tony Sun, Shirlyn Tang, Yuxin Huang, Jing Qian, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang, and William Yang Wang. 2020. Towards Understanding Gender Bias in Relation Extraction. In Proceedings of the Association for Computational Linguistics (ACL).
R. Stuart Geiger, Kevin Yu, Yanlai Yang, Mindy Dai, Jie Qiu, Rebekah Tang, and Jenny Huang. 2020. Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From? In Proceedings of the Conference on Fairness, Accountability, and Transparency, pages 325-336.
Oguzhan Gencoglu. 2020. Cyberbullying Detection with Fairness Constraints. arXiv preprint arXiv:2005.06625.
Alexandra Reeve Givens and Meredith Ringel Morris. 2020. Centering Disability Perspectives in Algorithmic Fairness, Accountability, and Transparency. In Proceedings of the Conference on Fairness, Accountability, and Transparency, Barcelona, Spain.
Hila Gonen and Yoav Goldberg. 2019. Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them. In Proceedings of the North American Association for Computational Linguistics (NAACL), pages 609-614, Minneapolis, MN.
Hila Gonen and Kellie Webster. 2020. Automatically Identifying Gender Issues in Machine Translation using Perturbations. arXiv preprint arXiv:2004.14065.
Ben Green. 2019. "Good" isn't good enough. In Proceedings of the AI for Social Good Workshop, Vancouver, Canada.
Lisa J. Green. 2002. African American English: A Linguistic Introduction. Cambridge University Press.
Anthony G. Greenwald, Debbie E. McGhee, and Jordan L.K. Schwartz. 1998. Measuring individual differences in implicit cognition: The implicit association test. Journal of Personality and Social Psychology, 74(6):1464-1480.
Enoch Opanin Gyamfi, Yunbo Rao, Miao Gou, and Yanhua Shao. 2020. deb2viz: Debiasing gender in word embedding data using subspace visualization. In Proceedings of the International Conference on Graphics and Image Processing.
Foad Hamidi, Morgan Klaus Scheuerman, and Stacy M. Branham. 2018. Gender Recognition or Gender Reductionism? The Social Implications of Automatic Gender Recognition Systems. In Proceedings of the Conference on Human Factors in Computing Systems (CHI), Montreal, Canada.
Alex Hanna, Emily Denton, Andrew Smart, and Jamila Smith-Loud. 2020. Towards a Critical Race Methodology in Algorithmic Fairness. In Proceedings of the Conference on Fairness, Accountability, and Transparency, pages 501-512, Barcelona, Spain.
Madeline E. Heilman, Aaaron S. Wallen, Daniella Fuchs, and Melinda M. Tamkins. 2004. Penalties for Success: Reactions to Women Who Succeed at Male Gender-Typed Tasks. Journal of Applied Psychology, 89(3):416-427.
Jane H. Hill. 2008. The Everyday Language of White Racism. Wiley-Blackwell.
Dirk Hovy, Federico Bianchi, and Tommaso Fornaciari. 2020. Can You Translate that into Man? Commercial Machine Translation Systems Include Stylistic Biases. In Proceedings of the Association for Computational Linguistics (ACL).
Dirk Hovy and Anders Søgaard. 2015. Tagging Performance Correlates with Author Age. In Proceedings of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing, pages 483-488, Beijing, China.
Dirk Hovy and Shannon L. Spruit. 2016. The social impact of natural language processing. In Proceedings of the Association for Computational Linguistics (ACL), pages 591-598, Berlin, Germany.
Po-Sen Huang, Huan Zhang, Ray Jiang, Robert Stanforth, Johannes Welbl, Jack W. Rae, Vishal Maini, Dani Yogatama, and Pushmeet Kohli. 2019. Reducing Sentiment Bias in Language Models via Counterfactual Evaluation. arXiv preprint arXiv:1911.03064.
Xiaolei Huang, Linzi Xing, Franck Dernoncourt, and Michael J. Paul. 2020. Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition. In Proceedings of the Language Resources and Evaluation Conference (LREC), Marseille, France.
Christoph Hube, Maximilian Idahl, and Besnik Fetahu. 2020. Debiasing Word Embeddings from Sentiment Associations in Names. In Proceedings of the International Conference on Web Search and Data Mining, pages 259-267, Houston, TX.
Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, and Stephen Denuyl. 2020. Social Biases in NLP Models as Barriers for Persons with Disabilities. In Proceedings of the Association for Computational Linguistics (ACL).
Matei Ionita, Yury Kashnitsky, Ken Krige, Vladimir Larin, Dennis Logvinenko, and Atanas Atanasov. 2019. Resolving gendered ambiguous pronouns with BERT. In Proceedings of the Workshop on Gender Bias in Natural Language Processing, pages 113-119, Florence, Italy.
Hailey James-Sorenson and David Alvarez-Melis. 2019. Probabilistic Bias Mitigation in Word Embeddings. In Proceedings of the Workshop on Human-Centric Machine Learning, Vancouver, Canada.
Shengyu Jia, Tao Meng, Jieyu Zhao, and Kai-Wei Chang. 2020. Mitigating Gender Bias Amplification in Distribution by Posterior Regularization. In Proceedings of the Association for Computational Linguistics (ACL).
Taylor Jones, Jessica Rose Kalbfeld, Ryan Hancock, and Robin Clark. 2019. Testifying while black: An experimental study of court reporter accuracy in transcription of African American English. Language, 95(2).
Anna Jørgensen, Dirk Hovy, and Anders Søgaard. 2015. Challenges of studying and processing dialects in social media. In Proceedings of the Workshop on Noisy User-Generated Text, pages 9–18, Beijing, China.
Anna Jørgensen, Dirk Hovy, and Anders Søgaard. 2016. Learning a POS tagger for AAVE-like language. In Proceedings of the North American Association for Computational Linguistics (NAACL), pages 1115-1120, San Diego, CA.
Pratik Joshi, Sebastian Santy, Amar Budhiraja, Kalika Bali, and Monjit Choudhury. 2020. The State and Fate of Linguistic Diversity and Inclusion in the NLP World. In Proceedings of the Association for Computational Linguistics (ACL).
Jaap Jumelet, Willem Zuidema, and Dieuwke Hupkes. 2019. Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment. In Proceedings of the Conference on Natural Language Learning, Hong Kong, China.
Marie-Odile Junker. 2018. Participatory action research for Indigenous linguistics in the digital age. In Shannon T. Bischoff and Carmen Jany, editors, Insights from Practices in Community-Based Research, pages 164-175. De Gruyter Mouton.
David Jurgens, Yulia Tsvetkov, and Dan Jurafsky. 2017. Incorporating Dialectal Variability for Socially Equitable Language Identification. In Proceedings of the Association for Computational Linguistics (ACL), pages 51-57, Vancouver, Canada.
Masahiro Kaneko and Danushka Bollegala. 2019. Gender-preserving debiasing for pre-trained word embeddings. In Proceedings of the Association for Computational Linguistics (ACL), pages 1641-1650, Florence, Italy.
Saket Karve, Lyle Ungar, and João Sedoc. 2019. Conceptor debiasing of word representations evaluated on WEAT. In Proceedings of the Workshop on Gender Bias in Natural Language Processing, pages 40-48, Florence, Italy.
Michael Katell, Meg Young, Dharma Dailey, Bernease Herman, Vivian Guetler, Aaron Tam, Corinne Bintz, Danielle Raz, and P.M. Krafft. 2020. Toward situated interventions for algorithmic equity: lessons from the field. In Proceedings of the Conference on Fairness, Accountability, and Transparency, pages 45-55, Barcelona, Spain.
Stephen Kemmis. 2006. Participatory action research and the public sphere. Educational Action Research, 14(4):459-476.
Os Keyes. 2018. The Misgendering Machines: Trans/HCI Implications of Automatic Gender Recognition. Proceedings of the ACM on Human-Computer Interaction, 2(CSCW).
Os Keyes, Josephine Hoy, and Margaret Drouhard. 2019. Human-Computer Insurrection: Notes on an Anarchist HCI. In Proceedings of the Conference on Human Factors in Computing Systems (CHI), Glasgow, Scotland, UK.
Jae Yeon Kim, Carlos Ortiz, Sarah Nam, Sarah Santiago, and Vivek Datta. 2020. Intersectional Bias in Hate Speech and Abusive Language Datasets. In Proceedings of the Association for Computational Linguistics (ACL).
Svetlana Kiritchenko and Saif M. Mohammad. 2018. Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems. In Proceedings of the Joint Conference on Lexical and Computational Semantics, pages 43-53, New Orleans, LA.
Moshe Koppel, Shlomo Argamon, and Anat Rachel Shimoni. 2002. Automatically Categorizing Written Texts by Author Gender. Literary and Linguistic Computing, 17(4):401-412.
Keita Kurita, Nidhi Vyas, Ayush Parek, Alan W. Black, and Yulia Tsvetkov. 2019. Measuring bias in contextualized word representations. In Proceedings of the Workshop on Gender Bias for Natural Language Processing, pages 166-172, Florence, Italy.
Sonja L. Lanehart and Ayesha M. Malik. 2018. Black Is, Black Isn't: Perceptions of Language and Blackness. In Jeffrey Reaser, Eric Wilbanks, Karissa Wojcik, and Walt Wolfram, editors, Language Variety in the New South. University of North Carolina Press.
Brian N. Larson. 2017. Gender as a variable in natural-language processing: Ethical considerations. In Proceedings of the Workshop on Ethics in Natural Language Processing, pages 30-40, Valencia, Spain.
Anne Lauscher and Goran Glavaš. 2019. Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors. In Proceedings of the Joint Conference on Lexical and Computational Semantics, pages 85-91, Minneapolis, MN.
Anne Lauscher, Goran Glavas, Simone Paolo Ponzetto, and Ivan Vulic. 2019. A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces. arXiv preprint arXiv:1909.06092.
Christopher A. Le Dantec, Erika Shehan Poole, and Susan P. Wyche. 2009. Values as Lived Experience: Evolving Value Sensitive Design in Support of Value Discovery. In Proceedings of the Conference on Human Factors in Computing Systems (CHI), Boston, MA.
Nayeon Lee, Andrea Madotto, and Pascale Fung. 2019. Exploring Social Bias in Chatbots using Stereotype Knowledge. In Proceedings of the Workshop on Widening NLP, pages 177-180, Florence, Italy.
Wesley Y. Leonard. 2012. Reframing language reclamation programmes for everybody's empowerment. Gender and Language, 6(2):339-367.
Paul Pu Liang, Irene Li, Emily Zheng, Yao Chong Lim, Ruslan Salakhutdinov, and Louis-Philippe Morency. 2019. Towards Debiasing Sentence Representations. In Proceedings of the NeurIPS Workshop on Human-Centric Machine Learning, Vancouver, Canada.
Rosina Lippi-Green. 2012. English with an Accent: Language, Ideology, and Discrimination in the United States. Routledge.
Bo Liu. 2019. Anonymized BERT: An Augmentation Approach to the Gendered Pronoun Resolution Challenge. In Proceedings of the Workshop on Gender Bias in Natural Language Processing, pages 120-125, Florence, Italy.
Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, and Jiliang Tang. 2019. Does Gender Matter? Towards Fairness in Dialogue Systems. arXiv preprint arXiv:1910.10486.
Felipe Alfaro Lois, José A.R. Fonollosa, and Costa-ja. 2019. BERT Masked Language Modeling for Coreference Resolution. In Proceedings of the Workshop on Gender Bias in Natural Language Processing, pages 76–81, Florence, Italy.
Brandon C. Loudermilk. 2015. Implicit attitudes and the perception of sociolinguistic variation. In Alexei Prikhodkine and Dennis R. Preston, editors, *Responses to Language Varieties: Variability, processes and outcomes*, pages 137-156.
Anastassia Loukina, Nitin Madnani, and Klaus Zechner. 2019. The many dimensions of algorithmic fairness in educational applications. In Proceedings of the Workshop on Innovative Use of NLP for Building Educational Applications, pages 1-10, Florence, Italy.
Kaiji Lu, Peter Mardziel, Fangjing Wu, Preetam Amancharla, and Anupam Datta. 2018. Gender bias in neural natural language processing. arXiv preprint arXiv:1807.11714.
Anne Maass. 1999. Linguistic intergroup bias: Stereotype perpetuation through language. Advances in Experimental Social Psychology, 31:79-121.
Nitin Madnani, Anastassia Loukina, Alina von Davier, Jill Burstein, and Aoife Cahill. 2017. Building Better Open-Source Tools to Support Fairness in Automated Scoring. In Proceedings of the Workshop on Ethics in Natural Language Processing, pages 41–52, Valencia, Spain.
Thomas Manzini, Yao Chong Lim, Yulia Tsvetkov, and Alan W. Black. 2019. Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings. In Proceedings of the North American Association for Computational Linguistics (NAACL), pages 801-809, Minneapolis, MN.
Ramón Antonio Martínez and Alexander Feliciano Mejía. 2019. Looking closely and listening carefully: A sociocultural approach to understanding the complexity of Latina/o/x students' everyday language. Theory Into Practice.
Rowan Hall Maudslay, Hila Gonen, Ryan Cotterell, and Simone Teufel. 2019. It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution. In Proceedings of Empirical Methods in Natural Language Processing (EMNLP), pages 5270-5278, Hong Kong, China.
Chandler May, Alex Wang, Shikha Bordia, Samuel R. Bowman, and Rachel Rudinger. 2019. On Measuring Social Biases in Sentence Encoders. In Proceedings of the North American Association for Computational Linguistics (NAACL), pages 629-634, Minneapolis, MN.
Elijah Mayfield, Michael Madaio, Shrimai Prabhumoye, David Gerritsen, Brittany McLaughlin, Ezekiel Dixon-Roman, and Alan W. Black. 2019. Equity Beyond Bias in Language Technologies for Education. In Proceedings of the Workshop on Innovative Use of NLP for Building Educational Applications, Florence, Italy.
Katherine McCurdy and Oğuz Serbetçi. 2017. Grammatical gender associations outweigh topical gender bias in crosslinguistic word embeddings. In Proceedings of the Workshop for Women & Underrepresented Minorities in Natural Language Processing, Vancouver, Canada.