Passage Selection

Passage Selection is the academic concept of a computational method that identifies and retrieves the most relevant text segment from a larger document in response to a query, distinguished by its focus on fine-grained information localization within the broader task of passage retrieval.

64

Publications

3.4K

Citations

323

Authors

128

Institutions

Publications per year

2017–2026

10

Authors

323

  1. JG
    Jade Goldstein

    Carnegie Mellon University, United States

    3 publications · 527 citations

    3

    h-index

  2. JC
    Jaime Carbonell

    Carnegie Mellon University, United States

    3 publications · 527 citations

    3

    h-index

  3. SL
    Seungwoo Lee

    Korea Institute of Science & Technology Information, South Korea

    2 publications · 97 citations

    2

    h-index

  4. PJ
    Peter J. Krell

    University of Guelph, Canada

    2 publications · 112 citations

    2

    h-index

  5. KA
    Kyriacos A. Athanasiou

    Rice University, United States

    2 publications · 49 citations

    2

    h-index

1–5 of 323

Venues

  1. Animal Reproduction Science

    2 publications · 38 citations

    2

    h-index

  2. Journal of Veterinary Medical Science

    1 publications · 24 citations

    1

    h-index

  3. Psychological Reports

    1 publications · 10 citations

    1

    h-index

  4. Text REtrieval Conference

    Conference · 1 publications · 24 citations

    1

    h-index

  5. Tissue Engineering

    1 publications · 49 citations

    1

    h-index

1–5