Neural Text Segmentation
Neural Text Segmentation is a text segmentation approach that employs neural network architectures to model and identify discourse boundaries by learning hierarchical representations of textual units from data.
70
Publications
3.6K
Citations
220
Authors
100
Institutions
Publications per year
2017–2026
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Parents
70
Long Short-Term Memory Neural Networks for Chinese Word Segmentation
Xinchi Chen, Xipeng Qiu, Chenxi Zhu et al. · 2015 · 295 citations · Full text
Neural Word Segmentation Learning for Chinese
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Heinrich Heine University Düsseldorf
Düsseldorf, Germany
4 h-index
6 publications
223 citations

Peking University
Beijing, China
4 h-index
9 publications
403 citations
Tsinghua University
Beijing, China
3 h-index
5 publications
309 citations
University of California, Berkeley
Berkeley, United States
3 h-index
5 publications
157 citations

Shanghai Jiao Tong University
Shanghai, China
3 h-index
6 publications
641 citations
Google (United States)
Mountain View, United States
3 h-index
6 publications
911 citations
Fudan University
Shanghai, China
2 h-index
9 publications
2K citations
Stanford University
Stanford, United States
2 h-index
4 publications
359 citations
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Repository · 6 publications · 123 citations
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4 publications · 85 citations
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Conference · 2 publications · 59 citations
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2 publications · 108 citations
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FGCS · 1 publications · 20 citations
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