Embedding Alignment is a methodological framework in natural language processing that establishes correspondences between vector representations in different embedding spaces by preserving semantic relationships through geometric transformations.
72
Publications
5.9K
Citations
308
Authors
113
Institutions
Publications per year
2017–2026
65
Variants
Vector Space Alignment
Parents
Publications
72
Yukun Zhu, Ryan Kiros, Rich Zemel et al. · 2015 · 2.1K citations · Full text
Generate to Adapt: Aligning Domains Using Generative Adversarial Networks
Swami Sankaranarayanan, Yogesh Balaji, Carlos D. Castillo et al. · 2018 · 691 citations
1–5 of 72
Authors
308
- HS
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- PD
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- CC
2
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- WL
2
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- JL
2
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1–5 of 308
Institutions
113
Chinese Academy of Sciences
Beijing, China
6 h-index
9 publications
400 citations
Zhejiang University
Hangzhou, China
4 h-index
10 publications
391 citations
University of Oxford
Oxford, United Kingdom
3 h-index
5 publications
731 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
5 publications
2.2K citations
Institute of Information Engineering
Beijing, China
3 h-index
5 publications
85 citations
Ludwig-Maximilians-Universität München
Munich, Germany
3 h-index
6 publications
156 citations
University of Chinese Academy of Sciences
Beijing, China
3 h-index
4 publications
159 citations
Institute of Molecular and Cell Biology
Singapore, Singapore
2 h-index
4 publications
270 citations
1–8 of 113
Venues
- arXiv (Cornell University)
Repository · 14 publications · 693 citations
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- Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 2 publications · 287 citations
2
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- Nature Communications
2 publications · 187 citations
2
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- Neurocomputing
1 publications · 47 citations
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- Journal of Web Semantics
1 publications · 28 citations
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