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
Parents
51
The spatial coding model of visual word identification.
Colin J. Davis · Psychological Review · 2010 · 482 citations · Full text
Measuring the semantic similarity of texts
Courtney D. Corley, Rada Mihalcea · 2005 · 352 citations · Full text
Optimizing Dense Retrieval Model Training with Hard Negatives
Jingtao Zhan, Jiaxin Mao, Yiqun Liu et al. · 2021 · 233 citations
1–5 of 51
137
3
h-index
3
h-index
3
h-index
Chinese Academy of Medical Sciences & Peking Union Medical College, China
2 publications · 134 citations
2
h-index
2
h-index
1–5 of 137
71
Carnegie Mellon University
Pittsburgh, United States
3 h-index
5 publications
645 citations
Tsinghua University
Beijing, China
3 h-index
12 publications
1.1K citations
Institute of Computing Technology
Beijing, China
2 h-index
2 publications
244 citations
Stanford University
Stanford, United States
2 h-index
2 publications
111 citations
AT&T (United States)
Bedminster, United States
2 h-index
3 publications
60 citations
University of Oxford
Oxford, United Kingdom
2 h-index
4 publications
92 citations

University of Oslo
Oslo, Norway
2 h-index
3 publications
58 citations
Japan Advanced Institute of Science and Technology
Nomi Shi, Japan
2 h-index
3 publications
119 citations
1–8 of 71
Repository · 5 publications · 116 citations
5
h-index
2 publications · 508 citations
2
h-index
Conference · 1 publications · 18 citations
1
h-index
Repository · 1 publications · 93 citations
1
h-index
1 publications · 39 citations
1
h-index
1–5