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

Authors

330

  1. MR
    Mark Riedl

    Georgia Institute of Technology, United States

    9 publications · 491 citations

    9

    h-index

  2. ML
    Mike Lewis

    Meta (Israel), Israel

    4 publications · 1.5K citations

    4

    h-index

  3. TO
    Takashi Ogata

    Iwate Prefectural University, Japan

    4 publications · 68 citations

    4

    h-index

  4. YD
    Yann Dauphin

    Université de Montréal, Canada

    4 publications · 1.5K citations

    4

    h-index

  5. JZ
    Jichen Zhu

    University of Central Florida, United States

    3 publications · 64 citations

    3

    h-index

1–5 of 330

Venues

  1. 9

    h-index

  2. arXiv (Cornell University)

    Repository · 8 publications · 300 citations

    8

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 335 citations

    4

    h-index

  4. eScholarship (California Digital Library)

    Repository · 3 publications · 48 citations

    3

    h-index

  5. University of Twente Research Information

    Repository · 2 publications · 44 citations

    2

    h-index

1–5