Passage Retrieval Evaluation

Passage Retrieval Evaluation is a systematic methodology within information retrieval research that assesses the effectiveness and efficiency of passage retrieval systems by measuring their ability to identify and rank relevant text segments in response to a given query, using standardized datasets, evaluation metrics, and benchmark tasks.

75

Publications

3.3K

Citations

226

Authors

83

Institutions

Publications per year

2017–2026

23

Authors

226

  1. PR
    Paolo Rosso

    Universitat Politècnica de València, Spain

    6 publications · 115 citations

    6

    h-index

  2. NC
    Nick Craswell

    Microsoft (United States), United States

    5 publications · 269 citations

    5

    h-index

  3. BM
    Bhaskar Mitra

    Microsoft (United States), United States

    5 publications · 261 citations

    5

    h-index

  4. JL
    Jimmy Lin

    University of Waterloo, Canada

    4 publications · 370 citations

    4

    h-index

  5. WB
    W. Bruce Croft

    University of Massachusetts Amherst, United States

    4 publications · 111 citations

    4

    h-index

1–5 of 226

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 698 citations

    9

    h-index

  2. 2

    h-index

  3. 2

    h-index

  4. Text REtrieval Conference

    Conference · 2 publications · 239 citations

    2

    h-index

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

    Repository · 1 publications · 11 citations

    1

    h-index

1–5