Character-based Embeddings
Character-Based Embeddings is a type of word representation in natural language processing that generates vectorized embeddings by modeling words as sequences of characters, thereby capturing subword morphological information through character-level composition.
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14.6K
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556
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196
Institutions
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2017–2026
145
Variants
Character-level Embeddings
Parents
178
Neural Architectures for Named Entity Recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian et al. · 2016 · 4.4K citations · Full text
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Shanghai Jiao Tong University
Shanghai, China
5 h-index
14 publications
661 citations
University of Washington
Seattle, United States
5 h-index
7 publications
776 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
13 publications
22.5K citations

Peking University
Beijing, China
3 h-index
10 publications
310 citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
7 publications
498 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
7 publications
925 citations
KU Leuven
Leuven, Belgium
3 h-index
9 publications
274 citations
Toyota Technological Institute at Chicago
Chicago, United States
3 h-index
9 publications
876 citations
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Repository · 22 publications · 1.3K citations
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8 publications · 171 citations
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Conference · 7 publications · 661 citations
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Conference · 5 publications · 1.1K citations
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2 publications · 121 citations
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