Big Data Research ›› 2022, Vol. 8 ›› Issue (5): 106-123.doi: 10.11959/j.issn.2096-0271.2022035

• STUDY • Previous Articles     Next Articles

Extraction and visualization analysis of key elements of tax preferential policies

Haishan GUAN1,2, Yulong ZHENG1,2, Bifan WEI2,3, Zemin ZHANG1,2, Hao YUE1,2, Bin SHI2,4, Bo DONG2,4   

  1. 1 School of Software Engineering, Xi’an Jiaotong University, Xi’an 710049, China
    2 Shaanxi Key Laboratory of Satellite &Terrestrial Network Technology R&D, Xi’an 710049, China
    3 School of Continuing Education, Xi’an Jiaotong University, Xi’an 710049, China
    4 School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an 710049, China
  • Online:2022-09-15 Published:2022-09-01
  • Supported by:
    The National Key Research and Development Program of China(2020AAA0108800);The National Natural Science Foundation of China(62137002);The National Natural Science Foundation of China(61937001);The National Natural Science Foundation of China(62176209);The National Natural Science Foundation of China(62176207);The National Natural Science Foundation of China(62106190);The National Natural Science Foundation of China(62050194);Innovative Research Group of the National Natural Science Foundation of China(61721002);Innovation Research Team of Ministry of Education(IRT_17R86);Consulting Research Project of Chinese Academy of Engineering “The Online and Offline Mixed Educational Service System for ‘The Belt and Road’ Training in MOOC China”;China Postdoctoral Science Foundation(2020M683493);Project of China Knowledge Centre for Engineering Science and Technology

Abstract:

With the rapid increase in the number of preferential tax policies, taxpayers face a large number of preferential tax policies, and it is difficult for taxpayers to quickly locate the preferential content related to them.As a result, many taxpayers do not enjoy the preferential policies they should enjoy.Based on the combination of pre-training language model BERT and rule processing, the visualization was realized of the characterization of preferential tax policies and regulations, the extraction of key elements, and the visual query of tax incentives, so that taxpayers can intuitively and quickly locate tax incentives related to themselves, and visualize the results.The experimental results show that the extraction performance of key elements is superior, and the query of preferential tax policies is quick and intuitive, which can effectively alleviate the problem of massive tax preferential information overload.

Key words: preferential tax policy, pre-trained language model, information extraction, visualization

CLC Number: 

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