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Characters are integral to long-form narratives, but are poorly understood by existing story analysis and generation systems.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 1901
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Extracting social networks from literary fiction
David Elson, Nicholas Dames, and Kathleen McKeown. 2010 · 2010
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Character-based kernels for novelistic plot structure
Micha Elsner. 2012 · 2012
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Character-to-character sentiment analysis in shakespeare’s plays
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A Bayesian mixed effects model of literary character
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Creating characters
The Editors of Writer’s Digest Books. 2014 · 2014
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Movie Script Summarization as Graph-based Scene Extraction
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Feuding families and former Friends: Unsupervised learning for dynamic fictional relationships
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Page-Turner: Your Path to Writing a Novel That Publishers Want and Readers Buy
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Creating character arcs
K M Weiland. 2016 · 2016
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Unsupervised learning of evolving relationships between literary characters
Snigdha Chaturvedi, Mohit Iyyer, and Hal Daume III. 2017 · 2017
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Hierarchical Neural Story Generation
Angela Fan, Mike Lewis, and Yann Dauphin. 2018 · 2018
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Learning Joint Gaussian Representations for Movies, Actors, and Literary Characters
Hannah Kim, Denys Katerenchuk, Daniel Billet, Haesun Park, and Boyang Albert Li. 2018 · 2018
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Deep Dungeons and Dragons: Learning Character-Action Interactions from Role-Playing Game Transcripts
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Generating character descriptions for automatic summarization of fiction
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Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed. 2023 · 2023
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