Character Generation

Character Generation is a computational method within the field of generative writing that systematically produces coherent and contextually appropriate character representations by modeling linguistic, psychological, and narrative attributes distinct from general text generation.

182

Publications

7.1K

Citations

597

Authors

202

Institutions

Publications per year

2017–2026

126

Authors

597

  1. ZL
    Zhouhui Lian

    Peking University, China

    7 publications · 451 citations

    7

    h-index

  2. JX
    Jianguo Xiao

    Peking University, China

    4 publications · 340 citations

    4

    h-index

  3. SU
    Seiichi Uchida

    Kyushu University, Japan

    4 publications · 111 citations

    4

    h-index

  4. PG
    Pablo Gervás

    Universidad Complutense de Madrid, Spain

    3 publications · 94 citations

    3

    h-index

  5. SC
    Sanghyuk Chun

    Naver (South Korea), South Korea

    3 publications · 203 citations

    3

    h-index

1–5 of 597

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 272 citations

    10

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 6 publications · 346 citations

    6

    h-index

  3. 4

    h-index

  4. 3

    h-index

  5. Multimedia Tools and Applications

    2 publications · 36 citations

    2

    h-index

1–5