Document Generation

Document Generation is a methodological contribution in the academic context of Policy Issuance that systematically produces structured textual artifacts through automated or semi-automated processes, distinguishing it from other contributions by its focus on creating policy-relevant documents from data, rules, or templates.

96

Publications

4.4K

Citations

296

Authors

127

Institutions

Publications per year

2017–2026

42

Authors

296

  1. XW
    Xiaojun Wan

    Peking University, China

    4 publications · 198 citations

    4

    h-index

  2. CL
    C. Lee Giles

    Pennsylvania State University, United States

    3 publications · 344 citations

    3

    h-index

  3. DK
    Daniel Kifer

    Pennsylvania State University, United States

    2 publications · 307 citations

    2

    h-index

  4. PA
    Paul Asente

    Adobe Systems (United States), United States

    2 publications · 307 citations

    2

    h-index

  5. AY
    Akihiro Yamamoto

    Kyoto University, Japan

    2 publications · 99 citations

    2

    h-index

1–5 of 296

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 270 citations

    5

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 114 citations

    2

    h-index

  3. ACM Transactions on Information Systems

    2 publications · 180 citations

    2

    h-index

  4. Information Processing & Management

    2 publications · 71 citations

    2

    h-index

  5. Applied Artificial Intelligence

    AAI · 2 publications · 105 citations

    2

    h-index

1–5