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Chandler May | Alex Wang | Shikha Bordia | Samuel R. Bowman | Rachel Rudinger | Chandler May | Alex Wang | Shikha Bordia | Rachel Rudinger
[1] S. Bem. The measurement of psychological androgyny. , 1974, Journal of consulting and clinical psychology.
[2] S. Holm. A Simple Sequentially Rejective Multiple Test Procedure , 1979 .
[3] K. Crenshaw. Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory and Antiracist Politics , 1989 .
[4] A. Greenwald,et al. Measuring individual differences in implicit cognition: the implicit association test. , 1998, Journal of personality and social psychology.
[5] Brian A. Nosek,et al. Math Male , Me Female , Therefore Math Me , 2002 .
[6] Brian A. Nosek,et al. Math = male, me = female, therefore math ≠ me. , 2002 .
[7] Brian A. Nosek,et al. Understanding and using the implicit association test: I. An improved scoring algorithm. , 2003, Journal of personality and social psychology.
[8] P. Stone,et al. Fast-Track Women and the “Choice” to Stay Home , 2004 .
[9] M. Heilman,et al. Penalties for success: reactions to women who succeed at male gender-typed tasks. , 2004, The Journal of applied psychology.
[10] M. Banaji,et al. PREDICTIVE VALIDITY OF THE IAT 1 RUNNING HEAD : PREDICTIVE VALIDITY OF THE IAT Understanding and Using the Implicit Association Test : III . Meta-analysis of Predictive Validity , 2006 .
[11] D. Madison. Crazy Patriotism and Angry (Post)Black Women , 2009 .
[12] Aurélie Herbelot,et al. Distributional techniques for philosophical enquiry , 2012, LaTeCH@EACL.
[13] K. Mitchell. Raunch versus prude: contemporary sex blogs and erotic memoirs by women , 2012 .
[14] Latanya Sweeney,et al. Discrimination in online ad delivery , 2013, CACM.
[15] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[16] Toni Pressley-Sanon. sister citizen: shame, stereotypes, and black women in America , 2013 .
[17] G. N. Rider,et al. Black sexual politics: African Americans, gender, and the new racism , 2014, Culture, health & sexuality.
[18] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[19] Sanja Fidler,et al. Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[20] Hal Daumé,et al. Deep Unordered Composition Rivals Syntactic Methods for Text Classification , 2015, ACL.
[21] Christopher Potts,et al. A large annotated corpus for learning natural language inference , 2015, EMNLP.
[22] Adam Tauman Kalai,et al. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings , 2016, NIPS.
[23] Andra Gillespie. Race, Perceptions of Femininity, and the Power of the First Lady: A Comparative Analysis , 2016 .
[24] Rachael Tatman,et al. Gender and Dialect Bias in YouTube’s Automatic Captions , 2017, EthNLP@EACL.
[25] Chandler May,et al. Social Bias in Elicited Natural Language Inferences , 2017, EthNLP@EACL.
[26] Arvind Narayanan,et al. Semantics derived automatically from language corpora contain human-like biases , 2016, Science.
[27] Holger Schwenk,et al. Supervised Learning of Universal Sentence Representations from Natural Language Inference Data , 2017, EMNLP.
[28] Nan Hua,et al. Universal Sentence Encoder for English , 2018, EMNLP.
[29] Timnit Gebru,et al. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification , 2018, FAT.
[30] Luke S. Zettlemoyer,et al. Deep Contextualized Word Representations , 2018, NAACL.
[31] Saif Mohammad,et al. Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems , 2018, *SEMEVAL.
[32] Samuel R. Bowman,et al. A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference , 2017, NAACL.
[33] Natalie Schluter,et al. The glass ceiling in NLP , 2018, EMNLP.
[34] Christopher Joseph Pal,et al. Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning , 2018, ICLR.
[35] Daniel Jurafsky,et al. Word embeddings quantify 100 years of gender and ethnic stereotypes , 2017, Proceedings of the National Academy of Sciences.
[36] Alec Radford,et al. Improving Language Understanding by Generative Pre-Training , 2018 .
[37] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.