Coherence In Summarization

Coherence in Summarization is a text-quality attribute in natural language generation that refers to the logical and syntactic connectedness of ideas within a summary, ensuring that the sequence of statements forms a unified, easily interpretable whole.

47

Publications

3.2K

Citations

117

Authors

53

Institutions

Publications per year

2017–2026

14

Authors

117

  1. MS
    Michael Strube

    Washington University in St. Louis, United States

    5 publications · 414 citations

    5

    h-index

  2. ML
    Mirella Lapata

    University of Edinburgh, United Kingdom

    4 publications · 982 citations

    4

    h-index

  3. DP
    Daraksha Parveen

    Heidelberg Institute for Theoretical Studies, Germany

    3 publications · 265 citations

    3

    h-index

  4. GD
    Greg Durrett

    The University of Texas at Austin, United States

    3 publications · 199 citations

    3

    h-index

  5. YC
    Yejin Choi

    University of Washington, United States

    2 publications · 28 citations

    2

    h-index

1–5 of 117

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 88 citations

    4

    h-index

  2. Computational Linguistics

    2 publications · 776 citations

    2

    h-index

  3. Computer Speech & Language

    2 publications · 37 citations

    2

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 130 citations

    1

    h-index

  5. Research in the Teaching of English

    RTE · 1 publications · 85 citations

    1

    h-index

1–5