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Dialogue systems in the form of chatbots and personal assistants are being increasingly integrated into people's lives.
Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack
Dinan, E.; Humeau, S.; Chintagunta, B.; and Weston, J. 2019 · 1908
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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 · 1909
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Recipes for building an open-domain chatbot
Roller, S.; Dinan, E.; Goyal, N.; Ju, D.; Williamson, M.; Liu, Y.; Xu, J.; Ott, M.; Shuster, K.; Smith, E. M.; Boureau, Y.-L.; and Weston, J. 2020 · 2004
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2010 Census
Bureau, U. C. 2011 · 2010
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Detecting hate speech on the world wide web
Warner, W.; and Hirschberg, J. 2012 · 2012
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Sarcasm as Contrast between a Positive Sentiment and Negative Situation
Riloff, E.; Qadir, A.; Surve, P.; De Silva, L.; Gilbert, N.; and Huang, R. 2013 · 2013
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Vader: A parsimonious rule-based model for sentiment analysis of social media text
Hutto, C.; and Gilbert, E. 2014 · 2014
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Negation Scope Detection for Twitter Sentiment Analysis
Reitan, J.; Faret, J.; Gambäck, B.; and Bungum, L. 2015 · 2015
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A Persona-Based Neural Conversation Model
Li, J.; Galley, M.; Brockett, C.; Spithourakis, G.; Gao, J.; and Dolan, B. 2016 · 2016
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Abusive language detection in online user content
Nobata, C.; Tetreault, J.; Thomas, A.; Mehdad, Y.; and Chang, Y. 2016 · 2016
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The problem with bias: Allocative versus representational harms in machine learning
Barocas, S.; Crawford, K.; Shapiro, A.; and Wallach, H. 2017 · 2017
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Multi-Task Learning for Speaker-Role Adaptation in Neural Conversation Models
Luan, Y.; Brockett, C.; Dolan, B.; Gao, J.; and Galley, M. 2017 · 2017
Cited alongside, same era.
ParlAI: A Dialog Research Software Platform
Miller, A.; Feng, W.; Batra, D.; Bordes, A.; Fisch, A.; Lu, J.; Parikh, D.; and Weston, J. 2017 · 2017
Cited alongside, same era.
Measuring and mitigating unintended bias in text classification
Dixon, L.; Li, J.; Sorensen, J.; Thain, N.; and Vasserman, L. 2018 · 2018
Cited alongside, same era.
Towards Automated Customer Support
Hardalov, M.; Koychev, I.; and Nakov, P. 2018 · 2018
Cited alongside, same era.
Ethical challenges in data-driven dialogue systems
Henderson, P.; Sinha, K.; Angelard-Gontier, N.; Ke, N. R.; Fried, G.; Lowe, R.; and Pineau, J. 2018 · 2018
Cited alongside, same era.
The Design and Implementation of XiaoIce, an Empathetic Social Chatbot
Zhou, L.; Gao, J.; Li, D.; and Shum, H.-Y. 2019 · 2019
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Language (Technology) is Power: A Critical Survey of “Bias” in NLP
Blodgett, S. L.; Barocas, S.; Daumé III, H.; and Wallach, H. 2020 · 2020
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Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation
Dinan, E.; Fan, A.; Williams, A.; Urbanek, J.; Kiela, D.; and Weston, J. 2020 · 2020
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RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models
Gehman, S.; Gururangan, S.; Sap, M.; Choi, Y.; and Smith, N. A. 2020 · 2020
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Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning
Liu, H.; Wang, W.; Wang, Y.; Liu, H.; Liu, Z.; and Tang, J. 2020b · 2020
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Miller, A. H.; Feng, W.; Fisch, A.; Lu, J.; Batra, D.; Bordes, A.; Parikh, D.; and Weston, J. 2018 · 2018
Cited alongside, same era.
Conversational AI: The Science Behind the Alexa Prize
Ram, A.; Prasad, R.; Khatri, C.; Venkatesh, A.; Gabriel, R.; Liu, Q.; Nunn, J.; Hedayatnia, B.; Cheng, M.; Nagar, A.; King, E.; Bland, K.; Wartick, A.; Pan, Y.; Song, H.; Jayadevan, S.; Hwang, G.; and Pettigrue, A. 2018 · 2018
Cited alongside, same era.
Gender Bias in Coreference Resolution
Rudinger, R.; Naradowsky, J.; Leonard, B.; and Van Durme, B. 2018 · 2018
Cited alongside, same era.
Personalizing Dialogue Agents: I have a dog, do you have pets too?
Zhang, S.; Dinan, E.; Urbanek, J.; Szlam, A.; Kiela, D.; and Weston, J. 2018 · 2018
Cited alongside, same era.
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
Zhao, J.; Wang, T.; Yatskar, M.; Ordonez, V.; and Chang, K.-W. 2018 · 2018
Cited alongside, same era.
Language models are unsupervised multitask learners
Radford, A.; Wu, J.; Child, R.; Luan, D.; Amodei, D.; and Sutskever, I. 2019 · 2019
Cited alongside, same era.
Does Gender Matter? Towards Fairness in Dialogue Systems
Liu, H.; Dacon, J.; Fan, W.; Liu, H.; Liu, Z.; and Tang, J. 2020a
Cited in the paper.
Gender bias in neural natural language processing
Lu, K.; Mardziel, P.; Wu, F.; Amancharla, P.; and Datta, A. 2020 · 2020
Later among the works it cites.
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList
Ribeiro, M. T.; Wu, T.; Guestrin, C.; and Singh, S. 2020 · 2020
Later among the works it cites.
DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation
Zhang, Y.; Sun, S.; Galley, M.; Chen, Y.-C.; Brockett, C.; Gao, X.; Gao, J.; Liu, J.; and Dolan, B. 2020 · 2020
Later among the works it cites.
Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts
Baheti, A.; Sap, M.; Ritter, A.; and Riedl, M. 2021 · 2021
Closest in time.
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation
Dhamala, J.; Sun, T.; Kumar, V.; Krishna, S.; Pruksachatkun, Y.; Chang, K.-W.; and Gupta, R. 2021 · 2021
Closest in time.
”Nice Try, Kiddo”: Investigating Ad Hominems in Dialogue Responses
Sheng, E.; Chang, K.-W.; Natarajan, P.; and Peng, N. 2021a · 2021
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