Phrase Retrieval

Phrase Retrieval is a corpus retrieval method that specifically identifies and extracts multi-word lexical units or syntactically constrained sequences from textual data, distinguishing it from broader term or document-level retrieval approaches by focusing on fixed or semi-fixed phrasal expressions.

86

Publications

4.4K

Citations

223

Authors

90

Institutions

Publications per year

2017–2026

11

Authors

223

  1. FS
    Frank Seide

    Microsoft Research Asia (China), China

    3 publications · 82 citations

    3

    h-index

  2. WB
    W. Bruce Croft

    University of Massachusetts Amherst, United States

    3 publications · 385 citations

    3

    h-index

  3. PY
    Peng Yu

    Microsoft Research Asia (China), China

    3 publications · 82 citations

    3

    h-index

  4. AT
    Andrew Turpin

    The University of Melbourne, Australia

    2 publications · 44 citations

    2

    h-index

  5. YM
    Yashar Mehdad

    University of Trento, Italy

    2 publications · 53 citations

    2

    h-index

1–5 of 223

Venues

  1. Information Processing & Management

    2 publications · 41 citations

    2

    h-index

  2. ACM SIGIR Forum

    2 publications · 98 citations

    2

    h-index

  3. Text REtrieval Conference

    Conference · 2 publications · 99 citations

    2

    h-index

  4. ACM Transactions on Information Systems

    1 publications · 14 citations

    1

    h-index

  5. Computer Assisted Language Learning

    1 publications · 39 citations

    1

    h-index

1–5