Generative Storytelling
Generative Storytelling is a computational narrative methodology that, as a subclass of generative writing, employs algorithmic or model-driven techniques to autonomously construct coherent and contextually relevant story structures from minimal initial input.
110
Publications
6.4K
Citations
330
Authors
142
Institutions
Publications per year
2017–2026
73
Parents
110
Hierarchical Neural Story Generation
Angela Fan, Mike Lewis, Yann Dauphin · 2018 · 1.1K citations · Full text
Story Generation with Crowdsourced Plot Graphs
Boyang Li, Stephen Lee-Urban, G W Johnston et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2013 · 210 citations · Full text
Strategies for Structuring Story Generation
Angela Fan, Mike Lewis, Yann Dauphin · 2019 · 189 citations · Full text
Language Studies, Linguistics, Computational Linguistics +16
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330
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142
Georgia Institute of Technology
Atlanta, United States
10 h-index
23 publications
1.6K citations
University of California, Santa Cruz
Santa Cruz, United States
6 h-index
22 publications
332 citations

Iwate Prefectural University
Takizawa, Japan
4 h-index
7 publications
126 citations

Peking University
Beijing, China
4 h-index
20 publications
1.1K citations
Tsinghua University
Beijing, China
4 h-index
10 publications
269 citations

University of Edinburgh
Edinburgh, United Kingdom
3 h-index
5 publications
460 citations
University of Southern California
Los Angeles, United States
3 h-index
9 publications
1K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
3 h-index
4 publications
312 citations
1–8 of 142
10 publications · 224 citations
9
h-index
Repository · 8 publications · 300 citations
8
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Conference · 4 publications · 335 citations
4
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Repository · 3 publications · 48 citations
3
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Repository · 2 publications · 44 citations
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