Fetching the paper…
Reading the bibliography…
Models often easily learn biases present in the training data, and their predictions directly reflect this bias.
What makes a good conversation? how controllable attributes affect human judgments
Abigail See, Stephen Roller, Douwe Kiela, and Jason Weston. 2019 · 1902
Earlier work this paper cites.
Real-time inference in multi-sentence tasks with deep pretrained transformers
Samuel Humeau, Kurt Shuster, Marie-Anne Lachaux, and Jason Weston. 2019 · 1905
Earlier work this paper cites.
Reducing gender bias in word-level language models with a gender-equalizing loss function
Yusu Qian, Urwa Muaz, Ben Zhang, and Jae Won Hyun. 2019 · 1905
Earlier work this paper cites.
Gender-preserving debiasing for pre-trained word embeddings
Masahiro Kaneko and Danushka Bollegala. 2019 · 1906
Earlier work this paper cites.
Evaluating gender bias in machine translation
Gabriel Stanovsky, Noah A Smith, and Luke Zettlemoyer. 2019 · 1906
Earlier work this paper cites.
Mitigating gender bias in natural language processing: Literature review
Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang, and William Yang Wang. 2019 · 1906
Earlier work this paper cites.
Build it break it fix it for dialogue safety: Robustness from adversarial human attack
Emily Dinan, Samuel Humeau, Bharath Chintagunta, and Jason Weston. 2019 · 1908
Earlier work this paper cites.
Unlearn dataset bias in natural language inference by fitting the residual
He He, Sheng Zha, and Haohan Wang. 2019 · 1908
Earlier work this paper cites.
Don’t take the easy way out: Ensemble based methods for avoiding known dataset biases
Christopher Clark, Mark Yatskar, and Luke Zettlemoyer. 2019 · 1909
Earlier work this paper cites.
Acute-eval: Improved dialogue evaluation with optimized questions and multi-turn comparisons
Margaret Li, Jason Weston, and Stephen Roller. 2019 · 1909
Earlier work this paper cites.
It’s all in the name: Mitigating gender bias with name-based counterfactual data substitution
Rowan Hall Maudslay, Hila Gonen, Ryan Cotterell, and Simone Teufel. 2019 · 1909
Earlier work this paper cites.
Toward gender-inclusive coreference resolution
Yang Trista Cao and Hal Daumé. 2019 · 1910
Earlier work this paper cites.
How does grammatical gender affect noun representations in gender-marking languages?
Hila Gonen, Yova Kementchedjhieva, and Yoav Goldberg. 2019 · 1910
Earlier work this paper cites.
Does gender matter? Towards fairness in dialogue systems
Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, and Jiliang Tang. 2019 · 1910
Earlier work this paper cites.
Towards understanding gender bias in relation extraction
Andrew Gaut, Tony Sun, Shirlyn Tang, Yuxin Huang, Jing Qian, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang, et al. 2019 · 1911
Earlier work this paper cites.
Possessive descriptions
Chris Barker. 1992 · 1992
Earlier work this paper cites.
McFarland and Co
Sarah Lynne Bowman. 2010 · 2010
Earlier work this paper cites.
A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2015 · 2015
Earlier work this paper cites.
Man is to computer programmer as woman is to homemaker? debiasing word embeddings
Tolga Bolukbasi, Kai-Wei Chang, James Y Zou, Venkatesh Saligrama, and Adam T Kalai. 2016 · 2016
Earlier work this paper cites.
Controlling output length in neural encoder-decoders
Yuta Kikuchi, Graham Neubig, Ryohei Sasano, Hiroya Takamura, and Manabu Okumura. 2016 · 2016
Earlier work this paper cites.
A persona-based neural conversation model
Jiwei Li, Michel Galley, Chris Brockett, Georgios Spithourakis, Jianfeng Gao, and Bill Dolan. 2016 · 2016
Earlier work this paper cites.
Weapons of math destruction: How big data increases inequality and threatens democracy
Cathy O’Neil. 2016 · 2016
Earlier work this paper cites.
Generative deep neural networks for dialogue: A short review
Iulian Vlad Serban, Ryan Lowe, Laurent Charlin, and Joelle Pineau. 2016 · 2016
Earlier work this paper cites.
Controllable abstractive summarization
Angela Fan, David Grangier, and Michael Auli. 2017 · 2017
Earlier work this paper cites.
Privilege, power, and dungeons & dragons: How systems shape racial and gender identities in tabletop role-playing games
Antero Garcia. 2017 · 2017
Cited alongside, same era.
Parlai: A dialog research software platform
A. H. Miller, W. Feng, A. Fisch, J. Lu, D. Batra, A. Bordes, D. Parikh, and J. Weston. 2017 · 2017
Cited alongside, same era.
Convnets and imagenet beyond accuracy: Explanations, bias detection, adversarial examples and model criticism
Pierre Stock and Moustapha Cisse. 2017 · 2017
Cited alongside, same era.
Men also like shopping: Reducing gender bias amplification using corpus-level constraints
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, and Kai-Wei Chang. 2017 · 2017
Cited alongside, same era.
An analysis of gender bias studies in natural language processing
Marta R Costa-jussà. 2019 · 2019
Closest in time.
Exploring human gender stereotypes with word association test
Yupei Du, Yuanbin Wu, and Man Lan. 2019 · 2019
Closest in time.
The knowref coreference corpus: Removing gender and number cues for difficult pronominal anaphora resolution
Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz, and Jackie Chi Kit Cheung. 2019 · 2019
Closest in time.
In plain sight: Media bias through the lens of factual reporting
Lisa Fan, Marshall White, Eva Sharma, Ruisi Su, Prafulla Kumar Choubey, Ruihong Huang, and Lu Wang. 2019 · 2019
Closest in time.
Women’s syntactic resilience and men’s grammatical luck: Gender-bias in part-of-speech tagging and dependency parsing
Aparna Garimella, Carmen Banea, Dirk Hovy, and Rada Mihalcea. 2019 · 2019
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Marc-Etienne Brunet, Colleen Alkalay-Houlihan, Ashton Anderson, and Richard Zemel. 2018 · 2018
Cited alongside, same era.
Hierarchical neural story generation
Angela Fan, Mike Lewis, and Yann Dauphin. 2018 · 2018
Cited alongside, same era.
Ethical challenges in data-driven dialogue systems
Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe, and Joelle Pineau. 2018 · 2018
Cited alongside, same era.
Generative question answering: Learning to answer the whole question
Mike Lewis and Angela Fan. 2018 · 2018
Cited alongside, same era.
Towards deep conversational recommendations
Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, and Chris Pal. 2018 · 2018
Cited alongside, same era.
Training millions of personalized dialogue agents
Pierre-Emmanuel Mazaré, Samuel Humeau, Martin Raison, and Antoine Bordes. 2018 · 2018
Cited alongside, same era.
A persona-based multi-turn conversation model in an adversarial learning framework
Oluwatobi O Olabiyi, Anish Khazane, and Erik T Mueller. 2018 · 2018
Cited alongside, same era.
Controlling personality-based stylistic variation with neural natural language generators
Shereen Oraby, Lena Reed, Shubhangi Tandon, TS Sharath, Stephanie Lukin, and Marilyn Walker. 2018 · 2018
Cited alongside, same era.
Lipstick on a pig: Debiasing methods cover up systematic gender biases in word embeddings but do not remove them
Hila Gonen and Yoav Goldberg. 2019 · 2019
Closest in time.
Automatic gender identification and reinflection in arabic
Nizar Habash, Houda Bouamor, and Christine Chung. 2019 · 2019
Closest in time.
A deep learning approach to language-independent gender prediction on twitter
Reyhaneh Hashempour. 2019 · 2019
Closest in time.
Unsupervised discovery of gendered language through latent-variable modeling
Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna Wallach, Isabelle Augenstein, and Ryan Cotterell. 2019 · 2019
Closest in time.
(male, bachelor) and (female, Ph.D) have different connotations: Parallelly annotated stylistic language dataset with multiple personas
Dongyeop Kang, Varun Gangal, and Eduard Hovy. 2019 · 2019
Closest in time.
Understanding the shades of sexism in popular TV series
Nayeon Lee, Yejin Bang, Jamin Shin, and Pascale Fung. 2019a · 2019
Closest in time.
Exploring social bias in chatbots using stereotype knowledge
Nayeon Lee, Andrea Madotto, and Pascale Fung. 2019b · 2019
Closest in time.
Pardon the interruption: Automatic analysis of gender and competitive turn-taking in united states supreme court hearings
Haley Lepp. 2019 · 2019
Closest in time.
Towards Debiasing Sentence representations
Paul Pu Liang, Irene Li, Emily Zheng, Yao Chong Lim, Ruslan Salakhutdinov, and Louis-Philippe Morency. 2019 · 2019
Closest in time.
Investigating sports commentator bias within a large corpus of American football broadcasts
Jack Merullo, Luke Yeh, Abram Handler, Alvin Grissom II, Brendan O’Connor, and Mohit Iyyer. 2019 · 2019
Closest in time.
Gender stereotypes differ between male and female writings
Yusu Qian. 2019 · 2019
Closest in time.
Learning and understanding different categories of sexism using convolutional neural network’s filters
Sima Sharifirad, Alon Jacovi, Israel Bar Ilan Univesity, and Stan Matwin. 2019 · 2019
Closest in time.
Using attention-based bidirectional lstm to identify different categories of offensive language directed toward female celebrities
Sima Sharifirad and Stan Matwin. 2019 · 2019
Closest in time.
The woman worked as a babysitter: On biases in language generation
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, and Nanyun Peng. 2019 · 2019
Closest in time.
Learning to speak and act in a fantasy text adventure game
Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, and Jason Weston. 2019 · 2019
Closest in time.
Quantifying the semantic core of gender systems
Adina Williams, Damian Blasi, Lawrence Wolf-Sonkin, Hanna Wallach, and Ryan Cotterell. 2019 · 2019
Closest in time.
Gender bias in contextualized word embeddings
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, and Kai-Wei Chang. 2019 · 2019
Closest in time.
Examining gender bias in languages with grammatical gender
Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, and Kai-Wei Chang. 2019 · 2019
Closest in time.
Counterfactual data augmentation for mitigating gender stereotypes in languages with rich morphology
Ran Zmigrod, Sebastian J. Mielke, Hanna Wallach, and Ryan Cotterell. 2019 · 2019
Closest in time.