Empirical study on character level neural network classifier for Chinese text-Reference-Cited by-同舟云学术

Empirical study on character level neural network classifier for Chinese text

Published:2019-04 Issue: Volume:80 Page:1-7
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Chung Tonglee,Xu Bin,Liu Yongbin,Ouyang Chunping,Li Siliang,Luo Lingyun

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference26 articles.

1. A survey of text classification algorithms;Aggarwal,2012

2. Optimizing Chinese word segmentation for machine translation performance;Chang,2008

3. Gated recursive neural network for Chinese word segmentation.;Chen,2015

4. Conneau, A., Schwenk, H., Barrault, L., LeCun, Y., 2016. Very deep convolutional networks for natural language processing, CoRR, abs/1606.01781, URL http://arxiv.org/abs/1606.01781.

5. Hinton, G.E., Srivastava, N., Krizhevsky, A., Sutskever, I., Salakhutdinov, R., 2012. Improving neural networks by preventing co-adaptation of feature detectors, CoRR, abs/1207.0580.

Cited by 15 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. Text Classification Model Based on Graph Attention Networks and Adversarial Training;Applied Sciences;2024-06-05

2. Leveraging the meta-embedding for text classification in a resource-constrained language;Engineering Applications of Artificial Intelligence;2023-09

3. Contrastive knowledge integrated graph neural networks for Chinese medical text classification;Engineering Applications of Artificial Intelligence;2023-06

4. JSON document clustering based on schema embeddings;Journal of Information Science;2022-09-12

5. Research and practice of browser electronic data forensics based on SVM;Second International Conference on Digital Signal and Computer Communications (DSCC 2022);2022-08-04