Sentence-level Composition
Sentence-Level Composition is a computational framework within natural language processing that integrates word embeddings into higher-order representations by systematically combining their vectorial semantics to capture the meaning of entire sentences.
86
Publications
7.4K
Citations
246
Authors
127
Institutions
Publications per year
2017–2026
35
Parents
86
Visualizing and Understanding Neural Models in NLP
Jiwei Li, Xinlei Chen, Eduard Hovy et al. · 2016 · 544 citations · Full text
A structured vector space model for word meaning in context
Katrin Erk, Sebastian Padó · 2008 · 366 citations · Full text
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University of Oxford
Oxford, United Kingdom
9 h-index
18 publications
1.7K citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
15 publications
1.9K citations

Peking University
Beijing, China
4 h-index
16 publications
448 citations
Stanford University
Stanford, United States
4 h-index
6 publications
1.8K citations
New York University
New York, United States
3 h-index
3 publications
289 citations

University of Amsterdam
Amsterdam, The Netherlands
3 h-index
3 publications
174 citations
University of California, Berkeley
Berkeley, United States
3 h-index
5 publications
293 citations

University of Edinburgh
Edinburgh, United Kingdom
3 h-index
5 publications
1.8K citations
1–8 of 127
Repository · 12 publications · 851 citations
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Conference · 4 publications · 116 citations
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CCC · 2 publications · 33 citations
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2 publications · 53 citations
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2 publications · 350 citations
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