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It is well known that textual data on the internet and other digital platforms contain significant levels of bias and stereotypes.
Language Models are Few-Shot Learners
Brown, T.; Mann, B.; Ryder, N.; Subbiah, M.; Kaplan, J. D.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; Agarwal, S.; Herbert-Voss, A.; Krueger, G.; Henighan, T.; Child, R.; Ramesh, A.; Ziegler, D.; Wu, J.; Winter, C.; Hesse, C.; Chen, M.; Sigler, E.; Litwin, M.; Gray, S.; Chess, B.; Clark, J.; Berner, C.; McCandlish, S.; Radford, A.; Sutskever, I.; and Amodei, D. 2020 · 1901
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A simple rule-based part of speech tagger
Brill, E. 1992 · 1992
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Evidence that gendered wording in job advertisements exists and sustains gender inequality
Gaucher, D.; Friesen, J.; and Kay, A. C. 2011 · 2011
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KenLM: Faster and Smaller Language Model Queries
Heafield, K. 2011 · 2011
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Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Bolukbasi, T.; Chang, K.-W.; Zou, J.; Saligrama, V.; and Kalai, A. 2016 · 2016
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Image style transfer using convolutional neural networks
Gatys, L. A.; Ecker, A. S.; and Bethge, M. 2016 · 2016
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Perceptual losses for real-time style transfer and super-resolution
Johnson, J.; Alahi, A.; and Fei-Fei, L. 2016 · 2016
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Obfuscating gender in social media writing
Reddy, S.; and Knight, K. 2016 · 2016
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” Why should i trust you?” Explaining the predictions of any classifier
Ribeiro, M. T.; Singh, S.; and Guestrin, C. 2016 · 2016
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Gender-fair language in job advertisements: A cross-linguistic and cross-cultural analysis
Hodel, L.; Formanowicz, M.; Sczesny, S.; Valdrová, J.; and von Stockhausen, L. 2017 · 2017
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Arbitrary style transfer in real-time with adaptive instance normalization
Huang, X.; and Belongie, S. 2017 · 2017
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Unsupervised machine translation using monolingual corpora only
Lample, G.; Conneau, A.; Denoyer, L.; and Ranzato, M. 2017 · 2017
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Personalized Machine Translation: Preserving Original Author Traits
Rabinovich, E.; Patel, R. N.; Mirkin, S.; Specia, L.; and Wintner, S. 2017 · 2017
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Style Transfer from Non-Parallel Text by Cross-Alignment
Shen, T.; Lei, T.; Barzilay, R.; and Jaakkola, T. 2017 · 2017
Cited alongside, same era.
Gender bias in the job market: A longitudinal analysis
Tang, S.; Zhang, X.; Cryan, J.; Metzger, M. J.; Zheng, H.; and Zhao, B. Y. 2017 · 2017
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Attention is All You Need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, L.; and Polosukhin, I. 2017 · 2017
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Style transfer in text: Exploration and evaluation
Fu, Z.; Tan, X.; Peng, N.; Zhao, D.; and Yan, R. 2018 · 2018
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Delete, Retrieve, Generate: a Simple Approach to Sentiment and Style Transfer
Li, J.; Jia, R.; He, H.; and Liang, P. 2018 · 2018
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Style Transfer Through Back-Translation
Prabhumoye, S.; Tsvetkov, Y.; Salakhutdinov, R.; and Black, A. W. 2018 · 2018
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Using artificial intelligence to promote diversity
Daugherty, P. R.; Wilson, H. J.; and Chowdhury, R. 2019 · 2019
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.; Lee, K.; and Toutanova, K. 2019 · 2019
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Attention is not Explanation
Jain, S.; and Wallace, B. C. 2019 · 2019
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Semeval-2019 task 4: Hyperpartisan news detection
Kiesel, J.; Mestre, M.; Shukla, R.; Vincent, E.; Adineh, P.; Corney, D.; Stein, B.; and Potthast, M. 2019 · 2019
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On Measuring Social Biases in Sentence Encoders
May, C.; Wang, A.; Bordia, S.; Bowman, S. R.; and Rudinger, R. 2019 · 2019
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Sentence-bert: Sentence embeddings using siamese bert-networks
Reimers, N.; and Gurevych, I. 2019 · 2019
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Improving language understanding by generative pre-training
Radford, A.; Narasimhan, K.; Salimans, T.; and Sutskever, I. 2018 · 2018
Cited alongside, same era.
Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer
Rao, S.; and Tetreault, J. 2018 · 2018
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Fighting offensive language on social media with unsupervised text style transfer
Santos, C. N. d.; Melnyk, I.; and Padhi, I. 2018 · 2018
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Multiple-attribute text style transfer
Subramanian, S.; Lample, G.; Smith, E. M.; Denoyer, L.; Ranzato, M.; and Boureau, Y.-L. 2018 · 2018
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Unsupervised Text Style Transfer Using Language Models as Discriminators
Yang, Z.; Hu, Z.; Dyer, C.; Xing, E. P.; and Berg-Kirkpatrick, T. 2018 · 2018
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Style transfer as unsupervised machine translation
Zhang, Z.; Ren, S.; Liu, S.; Wang, J.; Chen, P.; Li, M.; Zhou, M.; and Chen, E. 2018 · 2018
Cited alongside, same era.
”Transforming” Delete, Retrieve, Generate Approach for Controlled Text Style Transfer
Sudhakar, A.; Upadhyay, B.; and Maheswaran, A. 2019 · 2019
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Mask and Infill: Applying Masked Language Model for Sentiment Transfer
Wu, X.; Zhang, T.; Zang, L.; Han, J.; and Hu, S. 2019 · 2019
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Xlnet: Generalized autoregressive pretraining for language understanding
Yang, Z.; Dai, Z.; Yang, Y.; Carbonell, J.; Salakhutdinov, R. R.; and Le, Q. V. 2019 · 2019
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Text Style Transfer: A Review and Experiment Evaluation
Hu, Z.; Lee, R. K.-W.; and Aggarwal, C. C. 2020 · 2020
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Amazon scraps secret AI recruiting tool that showed bias against women
Dastin, J. 2018 · 2021
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Scientists Taught A Robot Language. It Immediately Turned Racist
Subbaraman, N. 2017 · 2021
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