Multi-label Text Classification Based on Sequence Model-Reference-Cited by-同舟云学术

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Multi-label Text Classification Based on Sequence Model

Published:2019 Issue: Volume: Page:201-210
ISSN:1865-0929
Container-title:Data Mining and Big Data
language:
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Author:

Chen Wenshi,Liu Xinhui,Guo Dongyu,Lu Mingyu

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-32-9563-6_21

Reference20 articles.

1. Wang, J., Yang, Y., Mao, J., Huang, Z., Huang, C., Xu, W.: CNN-RNN: a unified framework for multi-label image classification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2285–2294 (2016)

2. Chen, G., Ye, D., Xing, Z., Chen, J., Cambria, E.: Ensemble application of convolutional and recurrent neural networks for multi-label text categorization. In: 2017 International Joint Conference on Neural Networks (IJCNN), pp. 2377–2383. IEEE (2017)

3. Feng, S., Fu, P., Zheng, W.: A hierarchical multi-label classification algorithm for gene function prediction. Algorithms 10, 138 (2017)

4. Tsoumakas, G., Katakis, I.: Multi-label classification: an overview. Int. J. Data Warehous. Min. (IJDWM) 3, 1–13 (2007)

5. Zhang, M.-L., Zhou, Z.-H.: A review on multi-label learning algorithms. IEEE Trans. Knowl. Data Eng. 26, 1819–1837 (2014)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GL-LSTM Model For Multi-label Text Classification Of Cardiovascular Disease Reports;2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET);2022-03-03

2. Towards a Feature Selection for Multi-label Text Classification in Big Data;Communications in Computer and Information Science;2020

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