Automated Comment Generation

Automated Comment Generation is a computational method that systematically produces evaluative or corrective feedback on academic or student writing through algorithmic analysis, distinguishing itself from broader feedback systems by focusing specifically on generating natural language comments rather than scores, grades, or structural revisions.

111

Publications

6.3K

Citations

401

Authors

148

Institutions

Publications per year

2017–2026

86

Authors

401

  1. XX
    Xin Xia

    Singapore Management University, Singapore

    10 publications · 1.4K citations

    10

    h-index

  2. DL
    David Lo

    Singapore Management University, Singapore

    8 publications · 1.2K citations

    8

    h-index

  3. XC
    Xiangping Chen

    Sun Yat-sen University, China

    7 publications · 197 citations

    7

    h-index

  4. YH
    Yuan Huang

    Sun Yat-sen University, China

    7 publications · 197 citations

    7

    h-index

  5. XC
    Xiang Chen

    Nantong University, China

    6 publications · 213 citations

    6

    h-index

1–5 of 401

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 440 citations

    10

    h-index

  2. ACM Transactions on Software Engineering and Methodology

    TOSEM · 5 publications · 188 citations

    5

    h-index

  3. Journal of Systems and Software

    JSS · 5 publications · 161 citations

    5

    h-index

  4. 3

    h-index

  5. IEEE Access

    3 publications · 123 citations

    3

    h-index

1–5