Text Summarization

Text Summarization is a computational task within the broader domain of natural language processing that involves automatically generating a concise and coherent representation of the most salient information from one or more source texts while preserving essential meaning and structure.

6.2K

Publications

423K

Citations

12.6K

Authors

2.4K

Institutions

Publications per year

2017–2026

2.8K

Authors

12.6K

  1. DR
    Dragomir Radev

    University of Michigan, United States

    76 publications · 8.3K citations

    42

    h-index

  2. KM
    Kathleen McKeown

    Columbia University, United States

    71 publications · 6.9K citations

    40

    h-index

  3. ML
    Mirella Lapata

    University of Edinburgh, United Kingdom

    51 publications · 8.2K citations

    33

    h-index

  4. XW
    Xiaojun Wan

    Peking University, China

    57 publications · 3.5K citations

    32

    h-index

  5. FW
    Furu Wei

    Microsoft Research Asia (China), China

    42 publications · 4K citations

    32

    h-index

1–5 of 12.6K

Venues

  1. arXiv (Cornell University)

    Repository · 446 publications · 38.4K citations

    73

    h-index

  2. Information Processing & Management

    85 publications · 7.6K citations

    44

    h-index

  3. Expert Systems with Applications

    82 publications · 6.2K citations

    44

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 113 publications · 6.4K citations

    42

    h-index

  5. IEEE Access

    52 publications · 1.9K citations

    28

    h-index

1–5