Embedding-based Similarity
Embedding-Based Similarity is a computational method in text similarity analysis that quantifies semantic relatedness between texts by measuring geometric relationships between their vector representations in a continuous latent space.
181
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13.8K
Citations
572
Authors
276
Institutions
Publications per year
2017–2026
137
Variants
Vector-based Similarity
Parents
181
Yukun Zhu, Ryan Kiros, Rich Zemel et al. · 2015 · 2.1K citations · Full text
Geoffrey E. Hinton, Sam T. Roweis · 2002 · 1.5K citations
Linguistic Regularities in Sparse and Explicit Word Representations
Omer Levy, Yoav Goldberg · 2014 · 641 citations · Full text
Bootstrapping Entity Alignment with Knowledge Graph Embedding
Zequn Sun, Wei Hu, Qinghe Zhang et al. · 2018 · 531 citations · Full text
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276

Shanghai Jiao Tong University
Shanghai, China
7 h-index
20 publications
1.6K citations

Chinese Academy of Sciences
Beijing, China
5 h-index
19 publications
983 citations
Laboratoire d'Informatique de Grenoble
Grenoble, France
4 h-index
8 publications
208 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
11 publications
223 citations

Université Grenoble Alpes
Saint-Martin-d'Hères, France
4 h-index
7 publications
198 citations

Tel Aviv University
Tel Aviv, Israel
4 h-index
7 publications
174 citations
National University of Singapore
Singapore, Singapore
3 h-index
4 publications
118 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
5 publications
2.3K citations
1–8 of 276
Repository · 13 publications · 1.1K citations
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4 publications · 302 citations
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Conference · 3 publications · 412 citations
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PVLDB · 2 publications · 290 citations
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TPAMI · 2 publications · 246 citations
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