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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.
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

  • 专辑:

    社会科学Ⅰ辑; 信息科技

  • 专题:

    中国共产党; 计算机软件及计算机应用

  • DOI:

    10.26914/c.cnkihy.2021.055241

  • 分类号:

    D262.6;TP391.1

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