Electronic Science and Technology ›› 2019, Vol. 32 ›› Issue (12): 84-86.doi: 10.16180/j.cnki.issn1007-7820.2019.12.018

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Research on Recognition Method of Legal Documents Based on Deep Learning

MENG Xin   

  1. Guangling College, Yangzhou University, Yangzhou 225000, China
  • Received:2018-12-29 Online:2019-12-15 Published:2019-12-24
  • Supported by:
    Jiangsu University Philosophy and Social Sciences Research Project(2019SJB928)


In order to improve the construction efficiency of the knowledge base of digital legal documents, this paper proposed a method of legal document recognition based on the theory of deep learning. This method constructed deep neural network based on long and short term memory (LSTM) network element structure, and realized entity recognition in natural language. After testing, this method could effectively extract the names of people, places and institutions in legal documents. In the test set used in this paper, compared with the CRFs algorithm, this method could achieve about 10% improvement in accuracy, recall and F.

Key words: legal documents, natural language processing, deep learning, entity recognition, LSTM, CRFs

CLC Number: 

  • TN911.7