@article{(Open Science Index):https://publications.waset.org/pdf/10011599,
	  title     = {Personal Information Classification Based on Deep Learning in Automatic Form Filling System},
	  author    = {Shunzuo Wu and  Xudong Luo and  Yuanxiu Liao},
	  country	= {},
	  institution	= {},
	  abstract     = {Recently, the rapid development of deep learning makes
artificial intelligence (AI) penetrate into many fields, replacing
manual work there. In particular, AI systems also become a research
focus in the field of automatic office. To meet real needs in automatic
officiating, in this paper we develop an automatic form filling system.
Specifically, it uses two classical neural network models and several
word embedding models to classify various relevant information
elicited from the Internet. When training the neural network models,
we use less noisy and balanced data for training. We conduct a series
of experiments to test my systems and the results show that our
system can achieve better classification results.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {14},
	  number    = {11},
	  year      = {2020},
	  pages     = {437 - 445},
	  ee        = {https://publications.waset.org/pdf/10011599},
	  url   	= {https://publications.waset.org/vol/167},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 167, 2020},