Computational Narrative Generation

Computational Narrative Generation is a computational method that algorithmically constructs coherent and contextually appropriate narrative structures through the application of formal models of story planning, discourse realization, and interactive adaptation.

196

Publications

9.3K

Citations

395

Authors

151

Institutions

Publications per year

2017–2026

70

Authors

395

  1. MR
    Mark Riedl

    Georgia Institute of Technology, United States

    18 publications · 1.6K citations

    17

    h-index

  2. RM
    R. Michael Young

    North Carolina State University, United States

    16 publications · 1.2K citations

    14

    h-index

  3. PG
    Pablo Gervás

    Universidad Complutense de Madrid, Spain

    9 publications · 550 citations

    9

    h-index

  4. MC
    Marc Cavazza

    Teesside University, United Kingdom

    7 publications · 192 citations

    7

    h-index

  5. JP
    Julie Porteous

    Teesside University, United Kingdom

    7 publications · 149 citations

    7

    h-index

1–5 of 395

Venues

  1. 14

    h-index

  2. 9

    h-index

  3. arXiv (Cornell University)

    Repository · 8 publications · 367 citations

    8

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 7 publications · 579 citations

    7

    h-index

  5. Literary and Linguistic Computing

    LLC · 3 publications · 106 citations

    3

    h-index

1–5