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This work introduces Focused-Variation Network (FVN), a novel model to control language generation.
The curious case of neural text degeneration
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Daniel M. Ziegler, Nisan Stiennon, Jeffrey Wu, Tom B. Brown, Alec Radford, Dario Amodei, Paul Christiano, and Geoffrey Irving. 2019 · 1909
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Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, and Mike Lewis. 2020 · 1911
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Sumanth Dathathri, Andrea Madotto, Janice Lan, Jane Hung, Eric C. Frank, Piero Molino, Jason Yosinski, and Rosanne Liu. 2020 · 1912
Earlier work this paper cites.
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Douglas Biber. 1991 · 1991
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George Doddington. 2002 · 2002
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Rong Ye, Wenxian Shi, Hao Zhou, Zhongyu Wei, and Lei Li. 2020 · 2002
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Chin-Yew Lin. 2004 · 2004
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A framework for stylistically controlled generation
Daniel S Paiva and Roger Evans. 2004 · 2004
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Hannah Rashkin, Asli Celikyilmaz, Yejin Choi, and Jianfeng Gao. 2020 · 2004
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Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014 · 2014
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A deep ensemble model with slot alignment for sequence-to-sequence natural language generation
Juraj Juraska, Panagiotis Karagiannis, Kevin Bowden, and Marilyn Walker. 2018 · 2018
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Characterizing variation in crowd-sourced data for training neural language generators to produce stylistically varied outputs
Juraj Juraska and Marilyn Walker. 2018 · 2018
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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
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Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2018
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Jekaterina Novikova, Oliver Lemon, and Verena Rieser. 2016 · 2016
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Controlling linguistic style aspects in neural language generation
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The e2e nlg challenge: End-to-end generation through partial template mining
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Can you be more polite and positive? infusing social language into task-oriented conversational agents
Yi-Chia Wang, Runze Wang, Gokhan Tur, and Hugh Williams. 2018 · 2018
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Maximizing stylistic control and semantic accuracy in nlg: Personality variation and discourse contrast
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Curate and generate: A corpus and method for joint control of semantics and style in neural nlg
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Improve diverse text generation by self labeling conditional variational auto encoder
Yuchi Zhang, Yongliang Wang, Liping Zhang, Zhiqiang Zhang, and Kun Gai. 2019 · 2019
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Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge
Ondřej Dušek, Jekaterina Novikova, and Verena Rieser. 2020 · 2020
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