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Language-modeling--based approaches to story plot generation attempt to construct a plot by sampling from a language model (LM) to predict the next character, word, or sentence to add to the story.
Error on choroplethic maps: definition, measurement, reduction
George F Jenks and Fred C Caspall · 1971
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TALE-SPIN: An interactive program that writes stories
James R. Meehan · 1977
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Planning stories
Michael Lebowitz · 1987
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Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J. Williams · 1992
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Wordnet: a lexical database for english
George A. Miller · 1995
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Reinforcement Learning: An Introduction
Richard S. Sutton and Andrew G. Barto · 1998
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Policy invariance under reward transformations: Theory and application to reward shaping
Andrew Y Ng, Daishi Harada, and Stuart Russell · 1999
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MEXICA: A computer model of a cognitive account of creative writing
Rafael Pérez y Pérez and Mike Sharples · 2001
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Planning characters’ behaviour in interactive storytelling
M. Cavazza, F. Charles, and S. Mead · 2002
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Story plot generation based on CBR
Pablo Gervás, Belen Díaz-Agudo, Federico Peinado, and Raquel Hervás · 2005
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VerbNet: A Broad-Coverage, Comprehensive Verb Lexicon
Karin Kipper Schuler and Karen Kipper-Schuler · 2005
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Controlling narrative generation with planning trajectories: the role of constraints
Julie Porteous and Marc Cavazza · 2009
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Narrative planning: Balancing plot and character
Mark O. Riedl and R. Michael Young · 2010
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CPOCL: A Narrative Planner Supporting Conflict
Stephen Ware and R. Michael Young · 2011
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Say Anything: Using textual case-based reasoning to enable open-domain interactive storytelling
Reid Swanson and Andrew Gordon · 2012
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Learning Latent Personas of Film Characters
David Bamman, Brendan O’Connor, and Noah A Smith · 2013
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Story Cloze Evaluator: Vector Space Representation Evaluation by Predicting What Happens Next
Nasrin Mostafazadeh, Lucy Vanderwende, Wen-tau Yih, Pushmeet Kohli, and James Allen · 2016
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Convolutional Sequence to Sequence Learning
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N. Dauphin · 2017
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Deeptingle
Ahmed Khalifa, Gabriella AB Barros, and Julian Togelius · 2017
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Hierarchical Neural Story Generation
Angela Fan, Mike Lewis, and Yann Dauphin · 2018
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Sharp nearby, fuzzy far away: How neural language models use context
U. Khandelwal, H. He, P. Qi, and D. Jurafsky · 2018
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Event Representations for Automated Story Generation with Deep Neural Nets
Lara J. Martin, Prithviraj Ammanabrolu, Xinyu Wang, William Hancock, Shruti Singh, Brent Harrison, and Mark O. Riedl · 2018
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Story generation with crowdsourced plot graphs
Boyang Li, Stephen Lee-Urban, George Johnston, and Mark O. Riedl · 2013
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le · 2014
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Creative help: A story writing assistant
Melissa Roemmele and Andrew S. Gordon · 2015
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Deep reinforcement learning for dialogue generation
Jiwei Li, Will Monroe, Alan Ritter, Michel Galley, Jianfeng Gao, and Dan Jurafsky · 2016
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Predicting story quality with quantitative measures
Christopher Purdy, Xinyu Wang, Larry He, and Mark Riedl · 2018
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Language Models are Unsupervised Multitask Learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever · 2019
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Plan-and-write: Towards better automatic storytelling
Lili Yao, Nanyun Peng, Weischedel Ralph, Kevin Knight, Dongyan Zhao, and Rui Yan · 2019
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