Neural Text Representation
Neural Text Representation is a computational method for encoding textual data into distributed vector representations through deep learning architectures, distinguished by its reliance on neural network models to automatically capture semantic and syntactic patterns from raw text.
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2017–2026
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Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov, Kai Chen, Greg S. Corrado et al. · arXiv (Cornell University) · 2013 · 11.7K citations · Full text
Natural Language Processing (almost) from Scratch
Ronan Collobert, Jason Weston, Léon Bottou et al. · arXiv (Cornell University) · 2011 · 5.2K citations · Full text
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Peking University
Beijing, China
28 h-index
109 publications
9K citations

Harbin Institute of Technology
Harbin, China
28 h-index
127 publications
9.7K citations
Google (United States)
Mountain View, United States
27 h-index
131 publications
79.3K citations
Carnegie Mellon University
Pittsburgh, United States
27 h-index
78 publications
9.1K citations
Microsoft (United States)
Redmond, United States
20 h-index
50 publications
10K citations

Chinese Academy of Sciences
Beijing, China
19 h-index
83 publications
4.5K citations
Microsoft Research Asia (China)
Beijing, China
17 h-index
53 publications
5.6K citations
Fudan University
Shanghai, China
17 h-index
78 publications
5.2K citations
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Repository · 300 publications · 63.5K citations
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Conference · 47 publications · 2.8K citations
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Conference · 28 publications · 1.7K citations
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