Character-level Language Modeling
Character-Level Language Modeling is a type of language modeling that operates at the finest granular level of text, where the fundamental unit of prediction and representation is the individual character, distinguishing it from word-level or subword-level approaches by modeling sequences of characters directly to capture orthographic, morphological, and syntactic patterns.
139
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14.4K
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377
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138
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2017–2026
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139
Longformer: The Long-Document Transformer
arXiv (Cornell University) · 2020 · 2.2K citations · Full text
Generating Text with Recurrent Neural Networks
Ilya Sutskever, James Martens, Geoffrey E. Hinton · 2011 · 1.2K citations
Character-Aware Neural Language Models
Yoon Kim, Yacine Jernite, David Sontag et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2016 · 1K citations · Full text
Computing, Computer Science, French +17
Character-Aware Neural Language Models
Yoon Kim, Yacine Jernite, David Sontag et al. · arXiv (Cornell University) · 2015 · 1K citations · Full text
Computing, Computer Science, French +17
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138
Google (United States)
Mountain View, United States
8 h-index
30 publications
2.3K citations
Université de Montréal
Montreal, Canada
6 h-index
15 publications
2.5K citations

University of Edinburgh
Edinburgh, United Kingdom
4 h-index
8 publications
208 citations
Northwestern University
Evanston, United States
3 h-index
3 publications
62 citations
RWTH Aachen University
Aachen, Germany
3 h-index
15 publications
290 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
11 publications
594 citations

University of Waterloo
Waterloo, Canada
3 h-index
7 publications
814 citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
8 publications
368 citations
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Repository · 38 publications · 6.9K citations
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Conference · 3 publications · 48 citations
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Conference · 3 publications · 465 citations
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2 publications · 26 citations
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TACL · 2 publications · 105 citations
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