Summarization Evaluation

Summarization Evaluation is the systematic assessment of the quality and effectiveness of automatically generated summaries by comparing them against reference summaries or predefined criteria using quantitative metrics or qualitative analyses.

1K

Publications

67.1K

Citations

2.3K

Authors

717

Institutions

Publications per year

2017–2026

361

Authors

2.3K

  1. AN
    Ani Nenkova

    University of Pennsylvania, United States

    24 publications · 2.4K citations

    21

    h-index

  2. DR
    Dragomir Radev

    University of Michigan, United States

    18 publications · 1.7K citations

    17

    h-index

  3. KM
    Kathleen McKeown

    Columbia University, United States

    19 publications · 2.2K citations

    17

    h-index

  4. CL
    Chin-Yew Lin

    Microsoft Research Asia (China), China

    16 publications · 11.9K citations

    16

    h-index

  5. SF
    Sadaoki Furui

    Tokyo Institute of Technology, Japan

    13 publications · 579 citations

    13

    h-index

1–5 of 2.3K

Venues

  1. arXiv (Cornell University)

    Repository · 49 publications · 2.7K citations

    25

    h-index

  2. Expert Systems with Applications

    20 publications · 2.4K citations

    18

    h-index

  3. Information Processing & Management

    20 publications · 1.9K citations

    18

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 9 publications · 1.2K citations

    9

    h-index

  5. International Conference on Computational Linguistics

    Conference · 8 publications · 306 citations

    8

    h-index

1–5