Contextual Summarization

Contextual Summarization is a computational method that generates condensed representations of textual content by selectively preserving information based on the surrounding linguistic and situational context.

109

Publications

5.1K

Citations

328

Authors

154

Institutions

Publications per year

2017–2026

51

Authors

328

  1. PM
    Prasenjit Mitra

    Pennsylvania State University, United States

    4 publications · 157 citations

    4

    h-index

  2. BK
    B. K. Boguraev

    IBM Research - Thomas J. Watson Research Center, United States

    3 publications · 120 citations

    3

    h-index

  3. AG
    Alessandro Giuliani

    University of Cagliari, Italy

    3 publications · 54 citations

    3

    h-index

  4. YD
    Yue Dong

    McGill University, Canada

    3 publications · 218 citations

    3

    h-index

  5. NG
    Niloy Ganguly

    Indian Institute of Technology Kharagpur, India

    3 publications · 146 citations

    3

    h-index

1–5 of 328

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 93 citations

    6

    h-index

  2. Expert Systems with Applications

    3 publications · 109 citations

    3

    h-index

  3. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 2 publications · 35 citations

    2

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 38 citations

    2

    h-index

  5. Multimedia Tools and Applications

    2 publications · 99 citations

    2

    h-index

1–5