Generative Text Convolutional Neural Network for Hierarchical Document Representation Learning
For document analysis, existing methods often resort to the document representation that either discards the word order information or projects each word into a low-dimensional dense embedding vector. However, confined by the data's sparsity and high-dimensionality, limited effort has been made...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 4 vom: 01. Apr., Seite 4586-4604
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| 1. Verfasser: |
Wang, Chaojie
(VerfasserIn) |
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| Weitere Verfasser: |
Chen, Bo,
Duan, Zhibin,
Chen, Wenchao,
Zhang, Hao,
Zhou, Mingyuan |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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