Natural Language Processing Technology Used in Artificial Intelligence Scene of Law for Human Behavior

In order to study the application of natural language processing (NLP) technology in artificial intelligence (AI) scene of law, NLP technology is used to construct a legal AI retrieval system and further simulate the system. Then, by inputting the subject matter of the case into the system, the syst...

Full description

Saved in:
Bibliographic Details
Published inWireless communications and mobile computing Vol. 2022; pp. 1 - 8
Main Author Ning, Jin
Format Journal Article
LanguageEnglish
Published Oxford Hindawi 24.03.2022
Hindawi Limited
Subjects
Algorithms
Artificial intelligence
Boolean
Computer science
Computers
Efficiency
Error analysis
Human-computer interaction
Information retrieval
Language
Law
Legislation
Machine translation
Medical imaging
Natural language processing
Network analysis
Police
Reliability
Retrieval
Retrieval performance measures
Society
Test validity and reliability
Text categorization
Theme
Word sense disambiguation
China
Online AccessGet full text

Cover

More Information
Summary:In order to study the application of natural language processing (NLP) technology in artificial intelligence (AI) scene of law, NLP technology is used to construct a legal AI retrieval system and further simulate the system. Then, by inputting the subject matter of the case into the system, the system’s accuracy, recall rate, and error rate and other related indicators are evaluated, to analyze the performance of the legal retrieval system. The results show that in the case analysis of a single theme, the accuracy rate of the case with the theme of “impeding police enforcement” is low, and the accuracy rate of the other theme cases is over 70%, and the highest accuracy rate even reaches 95%. In the case retrieval analysis of multitheme, the accuracy rate of case retrieval is improved, higher than 75%, and the zero-detection rate is significantly reduced with the increase in keywords. In the analysis of network case retrieval, the average correct rate of the overall case retrieval will be nearly 65%. Further tests on its reliability show that during the continuous week of the retrieval test, the system has no faults and passed the reliability test. Therefore, through this study, it is found that the application of NLP technology in the legal AI retrieval system has a reliable accuracy, which meets the expectation of this paper.
ISSN:1530-8669
1530-8677
DOI:10.1155/2022/6606588