Multilingual Retrieval Models is a class of information retrieval frameworks designed to retrieve relevant documents across multiple languages by jointly modeling cross-lingual semantic representations and alignment mechanisms to bridge language barriers inherently.
52
Publications
3K
Citations
196
Authors
41
Institutions
Publications per year
2017–2026
20
Variants
Cross-language Information Retrieval Models
Publications
52
Multilingual Universal Sentence Encoder for Semantic Retrieval
Yinfei Yang, Daniel Cer, Amin Ahmad et al. · 2020 · 406 citations · Full text
David A. Hull, Gregory Grefenstette · 1996 · 291 citations
1–5 of 52
Authors
196
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1–5 of 196
Institutions
41
Carnegie Mellon University
Pittsburgh, United States
5 h-index
12 publications
1.3K citations
National Taiwan University
Taipei, Taiwan
4 h-index
10 publications
224 citations
Google (United States)
Mountain View, United States
4 h-index
33 publications
6.7K citations
University of Neuchâtel
Neuchâtel, Switzerland
3 h-index
3 publications
165 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
2 h-index
2 publications
69 citations
University of Maryland, College Park
College Park, United States
2 h-index
3 publications
388 citations
Dublin City University
Dublin, Ireland
1 h-index
4 publications
160 citations
Google DeepMind (United Kingdom)
London, United Kingdom
1 h-index
1 publications
312 citations
1–8 of 41
Venues
- Information Retrieval
6 publications · 287 citations
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- arXiv (Cornell University)
Repository · 6 publications · 138 citations
5
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- ACM Transactions on Asian Language Information Processing
TALIP · 2 publications · 76 citations
2
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- JAMA Psychiatry
1 publications · 14 citations
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- Journal of Intelligent Information Systems
1 publications · 14 citations
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