现代信息科技2024，Vol.8Issue(22)：85-91,7.DOI:10.19850/j.cnki.2096-4706.2024.22.017
基于词性和语序分析的法律知识图谱自动构建方法
Automatic Construction Method of Legal Knowledge Graph Based on Part of Speech and Word Order Analysis
摘要
Abstract
The paper constructed a legal Knowledge Graph through mining the entities and their relationships in the legal text,aiming to facilitate intelligent judgment and enhance the methodology of legal Knowledge Graph construction.This paper employs Natural Language Processing techniques rooted in LexNLP,analyzes the legal texts,and conducts sentence-level part-of-speech analysis,wherein nouns functioning as subjects or objects are labeled as entities,while verbs serving as predicates are labeled as relationships.Based on this framework,the entities and relationships within each sentence are permuted and combined according to the format<entity 1,relationship,entity 2>,resulting in the generation of non-repetitive knowledge triplets so as to generate a high-caliber legal knowledge graph.The paper proposes an automated construction approach for the legal Knowledge Graph based on part-of-speech and word order analyses,takes the legal precedents contained in the Caselaw Access Project in the US as the raw data,and assesses the quality of the generated triplets and presents a legal Knowledge Graph.关键词
知识图谱构建/实体识别/关系抽取/自然语言处理Key words
construction of Knowledge Graph/entity recognition/relation extraction/Natural Language Processing分类
信息技术与安全科学引用本文复制引用
唐明伟,赵煌涛,李文雯..基于词性和语序分析的法律知识图谱自动构建方法[J].现代信息科技,2024,8(22):85-91,7.基金项目
教育部人文社会科学研究规划基金项目(23YJA870009) （23YJA870009）
江苏省高校哲学社会科学研究重大项目(2021SJZDA153) （2021SJZDA153）
江苏高校"青蓝工程"项目 （）
