记笔记

Question answering system of discipline inspection laws and regulations based on knowledge graph

Pengfei Wang¹Jing Gao¹Junjie Chen¹Yongjun Wang¹Zhijun Shen¹Haibo Wang²

1. Inner Mongolia Agricultural University,College of Computer and Information Engineering,Inner Mongolia Key Laboratory of Big Data Research and Application of Agriculture and Animal Husbandry2. Inner Mongolia Discipline Inspection and Supervision Big Data Laboratory

摘要：Discipline inspection and supervision laws and regulations are an important basis for discipline inspection and supervision personnel.In this study, the data of laws and regulations in the discipline inspection and supervision field were firstly obtained from the latest "Regulations on Discipline Punishment of the Communist Party of China"（fourth edition）, and the knowledge graph of laws and regulations in the discipline inspection and supervision field was constructed after pretreatment. Secondly, based on the knowledge graph of discipline inspection and supervision laws and regulations,the core semantic matching algorithm of the question answering system is tested and the TF-IDF model with the highest accuracy in TOP1 is selected to finally realize the question answering system of discipline inspection and supervision laws and regulations.

关键词：

Knowledge graph; similarity calculation; discipline inspection; automatic question; and answer;

基金：

funded by Inner Mongolia Discipline Inspection and Supervision Big Data Laboratory,major science and technology project in Inner Mongolia Autonomous Region （Grant No.2019ZD016）； science and technology planning project of Inner Mongolia Autonomous Region （Grant No. 2019GG372）； the national natural science foundation of China （Grant No. 61462070）； Inner Mongolia natural science （Grant No. 2019MS03014）； Inner Mongolia discipline inspection and supervision big data laboratory open project fund （Grant No. IMDBD20200015, No.IMDBD20200016）；

会议名称：

2021年第四届算法、计算和人工智能国际会议

会议时间：

2021-12-22

会议地点：

中国海南三亚