Hierarchical Multi-label Text Classification based on a Matrix Factorization and Recursive-Attention Approach-Reference-Cited by-同舟云学术

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Hierarchical Multi-label Text Classification based on a Matrix Factorization and Recursive-Attention Approach

Published:2022-03-04 Issue: Volume: Page:
ISSN:
Container-title:2022 7th International Conference on Big Data Analytics (ICBDA)
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Author:

Song Yong¹,Yan Zhiwei²,Qin Yukun²,Zhao Dongming³,Ye Xiaozhou¹,Chai Yuanyuan¹,Ouyang Ye¹

Affiliation:

1. Telco Artificial Intelligence Labs AsiaInfo Technologies (China) Co., Ltd.,Beijing,China

2. Telco Artificial Intelligence Labs AsiaInfo Technologies (Nanjing) Co., Ltd.,Nanjing,China

3. Artificial Intelligence Laboratory China Mobile Communication Group Tianjin Co., Ltd.,Tianjin,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9760303/9760304/09760305.pdf?arnumber=9760305

Reference30 articles.

1. The netflix prize;bennett;Proceedings of KDD Cup and Workshop,2007

2. Gate-variants of Gated Recurrent Unit (GRU) neural networks

3. Attention is all you need;vaswani;Advances in neural information processing systems,2017

4. Improving language understanding with unsupervised learning;radford,2018

5. Bert: Pre-training of deep bidirectional transformers for language understanding;devlin,2018

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1. Hierarchical Text Classification and Its Foundations: A Review of Current Research;Electronics;2024-03-25

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