Sentence Importance Estimation

Sentence Importance Estimation is a computational task that identifies the relative significance of individual sentences within a text based on their contribution to the overall meaning, distinguishing it from related tasks by its focus on quantifying informational prominence at the sentence level.

63

Publications

4.7K

Citations

172

Authors

85

Institutions

Publications per year

2017–2026

26

Authors

172

  1. FW
    Furu Wei

    Microsoft Research Asia (China), China

    3 publications · 118 citations

    3

    h-index

  2. MZ
    Ming Zhou

    Microsoft Research Asia (China), China

    3 publications · 118 citations

    3

    h-index

  3. LV
    Lucy Vanderwende

    Microsoft (United States), United States

    4 publications · 773 citations

    3

    h-index

  4. AN
    Ani Nenkova

    University of Pennsylvania, United States

    3 publications · 492 citations

    3

    h-index

  5. YK
    Youngjoong Ko

    Sogang University, South Korea

    2 publications · 148 citations

    2

    h-index

1–5 of 172

Venues

  1. Journal of Artificial Intelligence Research

    JAIR · 3 publications · 1.7K citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 128 citations

    2

    h-index

  3. Information Processing & Management

    1 publications · 118 citations

    1

    h-index

  4. Discourse Processes

    DP · 1 publications · 38 citations

    1

    h-index

  5. Expert Systems with Applications

    1 publications · 20 citations

    1

    h-index

1–5