计算机工程与应用2025，Vol.61Issue(14)：1-19,19.DOI:10.3778/j.issn.1002-8331.2412-0102
持续关系抽取方法研究综述
Survey on Research of Continual Relation Extraction Methods
摘要
Abstract
Relation extraction(RE)focuses on identifying and extracting relations between entities from textual data.With the dynamic nature of data streams,traditional relation extraction models face challenges with flexibility and effec-tiveness when new relation types emerge.Continual relation extraction(CRE)models,through real-time learning,not only adapt to new relation types but also effectively retain previously learned knowledge,providing crucial support for the dynamic updating and expansion of knowledge graphs.This paper provides a systematic review of the research progress in the field of continual relation extraction.Firstly,it elaborates the development history,basic concepts,and task defini-tions of continual relation extraction.Next,it summarizes the current research methods from four perspectives:relation prototype,adversarial augmentation,contrastive learning,and other approaches.Subsequently,commonly used datasets and evaluation metrics are introduced,followed by a comparative performance evaluation of mainstream models.Finally,the limitations and challenges of existing methods are discussed,and future research directions are proposed.关键词
持续关系抽取/记忆机制/关系原型/对抗增强/对比学习Key words
continual relation extraction/memory mechanism/relation prototypes/adversarial augmentation/contrastive learning分类
信息技术与安全科学引用本文复制引用
杭婷婷,郭亚,李德胜,冯钧..持续关系抽取方法研究综述[J].计算机工程与应用,2025,61(14):1-19,19.基金项目
国家自然科学基金(62306007) （62306007）
国家重点研发计划(2023YFC3209203) （2023YFC3209203）
安徽工业大学科研基金(QZ202209). （QZ202209）
