Summarization Quality Evaluation

Summarization Quality Evaluation is the academic concept referring to a systematic methodological framework designed to assess the fidelity, coherence, and informativeness of a summary relative to its source text, thereby distinguishing it from other stages in the summarization pipeline by its exclusive focus on post-hoc appraisal of summary quality.

372

Publications

30K

Citations

937

Authors

352

Institutions

Publications per year

2017–2026

157

Authors

937

  1. AN
    Ani Nenkova

    University of Pennsylvania, United States

    15 publications · 1.8K citations

    15

    h-index

  2. CL
    Chin-Yew Lin

    Microsoft Research Asia (China), China

    8 publications · 10.5K citations

    8

    h-index

  3. DR
    Dragomir Radev

    University of Michigan, United States

    7 publications · 1K citations

    7

    h-index

  4. RJ
    Rebecca J. Passonneau

    Columbia University, United States

    7 publications · 1K citations

    7

    h-index

  5. HS
    Horacio Saggion

    Universitat Pompeu Fabra, Spain

    7 publications · 434 citations

    7

    h-index

1–5 of 937

Venues

  1. arXiv (Cornell University)

    Repository · 18 publications · 579 citations

    13

    h-index

  2. Expert Systems with Applications

    7 publications · 566 citations

    7

    h-index

  3. 5

    h-index

  4. 5

    h-index

  5. Computational Linguistics

    4 publications · 915 citations

    4

    h-index

1–5