Hierarchical Multi-Granularity Attention- Based Hybrid Neural Network for Text Classification-Reference-Cited by-同舟云学术

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Hierarchical Multi-Granularity Attention- Based Hybrid Neural Network for Text Classification

Published:2020 Issue: Volume:8 Page:149362-149371
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Liu Zhenyu^ORCID,Lu Chaohong,Huang Haiwei^ORCID,Lyu Shengfei^ORCID,Tao Zhenchao

Funder

“Xinhua 08” Financial and Economic Data Cloud Service Platform Research Grant

grants from the Youth Foundation of The First Affiliated Hospital West District of USTC and the Anhui Provincial Cancer Hospital

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09167245.pdf?arnumber=9167245

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2. Text classification using deep learning techniques: a bibliometric analysis and future research directions;Benchmarking: An International Journal;2023-08-18

3. A deep penetration network for sentence classification;Information Fusion;2023-07

4. Least Redundant Gated Recurrent Neural Network;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

5. Siamese BERT Architecture Model with attention mechanism for Textual Semantic Similarity;Multimedia Tools and Applications;2023-05-02

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