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Narrative generation is an open-ended NLP task in which a model generates a story given a prompt.
Unifying human and statistical evaluation for natural language generation
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Trading off diversity and quality in natural language generation
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Language models are few-shot learners
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Towards AI-complete question answering: A set of prerequisite toy tasks
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A Diversity-Promoting Objective Function for Neural Conversation Models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016a · 2016
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A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016b · 2016
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A corpus and cloze evaluation for deeper understanding of commonsense stories
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Controlling linguistic style aspects in neural language generation
Jessica Ficler and Yoav Goldberg. 2017 · 2017
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Massimo Caccia, Lucas Caccia, William Fedus, Hugo Larochelle, Joelle Pineau, and Laurent Charlin. 2018 · 2018
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Hierarchical Neural Story Generation
Angela Fan, Mike Lewis, and Yann Dauphin. 2018 · 2018
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Another diversity-promoting objective function for neural dialogue generation
Ryo Nakamura, Katsuhito Sudoh, Koichiro Yoshino, and Satoshi Nakamura. 2018 · 2018
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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Sentence-BERT: Sentence embeddings using Siamese BERT-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
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Do massively pretrained language models make better storytellers?
Abigail See, Aneesh Pappu, Rohun Saxena, Akhila Yerukola, and Christopher D. Manning. 2019 · 2019
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STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation
Nader Akoury, Shufan Wang, Josh Whiting, Stephen Hood, Nanyun Peng, and Mohit Iyyer. 2020 · 2020
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The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi. 2020 · 2020
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Automatic detection of generated text is easiest when humans are fooled
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Towards Controllable Story Generation
Nanyun Peng, Marjan Ghazvininejad, Jonathan May, and Kevin Knight. 2018 · 2018
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Diversity-promoting GAN: A cross-entropy based generative adversarial network for diversified text generation
Jingjing Xu, Xuancheng Ren, Junyang Lin, and Xu Sun. 2018 · 2018
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Generating informative and diverse conversational responses via adversarial information maximization
Yizhe Zhang, Michel Galley, Jianfeng Gao, Zhe Gan, Xiujun Li, Chris Brockett, and Bill Dolan. 2018 · 2018
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Hate speech detection: Challenges and solutions
Sean MacAvaney, Hao-Ren Yao, Eugene Yang, Katina Russell, Nazli Goharian, and Ophir Frieder. 2019 · 2019
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Unsupervised hierarchical story infilling
Daphne Ippolito, David Grangier, Chris Callison-Burch, and Douglas Eck. 2019a
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Comparison of diverse decoding methods from conditional language models
Daphne Ippolito, Reno Kriz, Joao Sedoc, Maria Kustikova, and Chris Callison-Burch. 2019b
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DialoGPT: Large-scale generative pre-training for conversational response generation
Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu, and Bill Dolan. 2020b
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Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch, and Douglas Eck. 2020 · 2020
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Sparse text generation
Pedro Henrique Martins, Zita Marinho, and André F. T. Martins. 2020 · 2020
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A systematic characterization of sampling algorithms for open-ended language generation
Moin Nadeem, Tianxing He, Kyunghyun Cho, and James Glass. 2020 · 2020
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Towards Controllable Biases in Language Generation
Emily Sheng, Kai-Wei Chang, Prem Natarajan, and Nanyun Peng. 2020 · 2020
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