Document-to-passage Retrieval

Document-To-Passage Retrieval is a document analysis framework that identifies and extracts semantically coherent segments from full-length texts to facilitate fine-grained information access by aligning query intent with passage-level relevance.

59

Publications

2.7K

Citations

162

Authors

45

Institutions

Publications per year

2017–2026

12

Authors

162

  1. JA
    James Allan

    University of Massachusetts Amherst, United States

    5 publications · 751 citations

    5

    h-index

  2. GS
    Gerard Salton

    Cornell University, United States

    3 publications · 685 citations

    3

    h-index

  3. CB
    Chris Buckley

    Cornell University, United States

    3 publications · 685 citations

    3

    h-index

  4. SV
    Suzan Verberne

    Leiden University, Netherlands

    2 publications · 67 citations

    2

    h-index

  5. OK
    Oren Kurland

    Technion – Israel Institute of Technology, Israel

    2 publications · 22 citations

    2

    h-index

1–5 of 162

Venues

  1. Information Processing & Management

    4 publications · 256 citations

    4

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  2. 2

    h-index

  3. ACM SIGIR Forum

    2 publications · 80 citations

    2

    h-index

  4. Text REtrieval Conference

    Conference · 2 publications · 90 citations

    2

    h-index

  5. NTCIR

    1 publications · 10 citations

    1

    h-index

1–5