Contextual Word Representation
Contextual Word Representation is a type of word representation that dynamically models the meaning of a word based on its surrounding textual context, distinguishing itself from static representations by encoding linguistic variability and polysemy through context-sensitive mechanisms.
234
Publications
17.9K
Citations
705
Authors
301
Institutions
Publications per year
2017–2026
151
Variants
Contextualized Word Representation
Parents
234
Deep Contextualized Word Representations
Matthew E. Peters, Mark E Neumann, Mohit Iyyer et al. · 2018 · 1.8K citations · Full text
Knowledge Enhanced Contextual Word Representations
Matthew E. Peters, Mark E Neumann, Robert Logan et al. · 2019 · 676 citations · Full text
1–5 of 234
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Allen Institute for Artificial Intelligence, United States
4 publications · 2.5K citations
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3
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1–5 of 705
301
Carnegie Mellon University
Pittsburgh, United States
6 h-index
17 publications
1.6K citations
Tsinghua University
Beijing, China
6 h-index
19 publications
3.4K citations

Chinese Academy of Sciences
Beijing, China
5 h-index
13 publications
668 citations
Stanford University
Stanford, United States
5 h-index
7 publications
685 citations
University of Cambridge
Cambridge, United Kingdom
4 h-index
9 publications
352 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
10 publications
220 citations

Bar-Ilan University
Ramat Gan, Israel
4 h-index
7 publications
365 citations
Allen Institute for Artificial Intelligence
Seattle, United States
4 h-index
15 publications
12.6K citations
1–8 of 301
Repository · 21 publications · 1.6K citations
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Conference · 11 publications · 799 citations
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6 publications · 273 citations
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3 publications · 154 citations
3
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2 publications · 189 citations
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