Lexical Matching Models

Lexical Matching Models is a retrieval framework that identifies relevant passages by matching query and document terms based on surface-level lexical overlap, distinguishing itself from semantic or contextual matching approaches through its reliance solely on exact or morphological word matching.

51

Publications

2.9K

Citations

137

Authors

71

Institutions

Publications per year

2017–2026

24

Authors

137

  1. LG
    Luyu Gao

    Carnegie Mellon University, United States

    3 publications · 240 citations

    3

    h-index

  2. ZD
    Zhuyun Dai

    Carnegie Mellon University, United States

    3 publications · 240 citations

    3

    h-index

  3. JC
    Jamie Callan

    Carnegie Mellon University, United States

    3 publications · 240 citations

    3

    h-index

  4. HG
    Hao Gu

    Chinese Academy of Medical Sciences & Peking Union Medical College, China

    2 publications · 134 citations

    2

    h-index

  5. CH
    Choon Hui Teo

    Data61, Australia

    2 publications · 134 citations

    2

    h-index

1–5 of 137

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 116 citations

    5

    h-index

  2. Psychological Review

    2 publications · 508 citations

    2

    h-index

  3. 1

    h-index

  4. PubMed

    Repository · 1 publications · 93 citations

    1

    h-index

  5. Brain and Language

    1 publications · 39 citations

    1

    h-index

1–5