Phrase-based Retrieval

Phrase-Based Retrieval is a document retrieval model that belongs to the broader class of information retrieval methods, distinguished by its reliance on multi-word phrases as the fundamental indexing and matching units to improve the precision of retrieved passages.

120

Publications

8.1K

Citations

273

Authors

105

Institutions

Publications per year

2017–2026

7

Authors

273

  1. WB
    W. Bruce Croft

    University of Massachusetts Amherst, United States

    7 publications · 1.1K citations

    7

    h-index

  2. GS
    Gerard Salton

    Cornell University, United States

    4 publications · 102 citations

    4

    h-index

  3. AM
    Alistair Moffat

    The University of Melbourne, Australia

    3 publications · 60 citations

    3

    h-index

  4. DA
    David A. Evans

    Carnegie Mellon University, United States

    3 publications · 279 citations

    3

    h-index

  5. WW
    Wesley W. Chu

    University of California, Los Angeles, United States

    3 publications · 105 citations

    3

    h-index

1–5 of 273

Venues

  1. Text REtrieval Conference

    Conference · 6 publications · 2.4K citations

    6

    h-index

  2. Information Processing & Management

    6 publications · 118 citations

    6

    h-index

  3. Information Retrieval

    3 publications · 69 citations

    3

    h-index

  4. ACM SIGIR Forum

    3 publications · 109 citations

    3

    h-index

  5. PubMed

    Repository · 3 publications · 100 citations

    3

    h-index

1–5