现代信息科技2026，Vol.10Issue(12)：51-54,60,5.DOI:10.19850/j.cnki.2096-4706.2026.12.010
涉毒刑事案件实体关系语料库构建
Construction of an Entity-Relation Corpus for Drug-Related Criminal Cases
摘要
Abstract
Publicly available structured textual data on drug-related criminal cases remain scarce,hindering data-driven research in this domain.To bridge this gap,this study collects drug-related criminal judgments from China Judgments Online and constructs a structured corpus with fine-grained entity and relation annotations.The annotation schema covers entities such as drug types,involved individuals,and behavioral patterns,as well as semantic relations including drug trafficking,possession,and illegal harboring.We establish a detailed annotation protocol and ensure data quality through an iterative multi-round labeling process with cross-validation.Statistical analysis reveals class imbalance in the annotated corpus:entity types such as personal names occur frequently,whereas certain relations(e.g.,possession)are relatively sparse.The resulting corpus provides high-quality foundational data for downstream natural language processing tasks in drug crime analysis,including named entity recognition,relation extraction,and intelligent early-warning systems.关键词
实体关系/语料库/裁判文书/标注规范Key words
entity relation/corpus/judicial documents/annotation guidelines分类
信息技术与安全科学引用本文复制引用
李林瑛,曲云平,付子轩,刘美汐..涉毒刑事案件实体关系语料库构建[J].现代信息科技,2026,10(12):51-54,60,5.基金项目
辽宁省教育厅高等学校基本科研项目(LJKMZ20221549) （LJKMZ20221549）
