计算机工程2026，Vol.52Issue(9)：123-132,10.DOI:10.19678/j.issn.1000-3428.0070629
基于对比学习和重排序的实体链接方法研究
Research on Entity Linking Method Based on Contrastive Learning and Re-ranking
摘要
Abstract
Entity Linking(EL),which links entity mentions in natural text to corresponding entities within a knowledge base,plays a crucial role in fields such as information retrieval and question-answering systems.The key challenge in EL lies in the effective utilization of the contextual information of mentions and feature information of entities in the knowledge base to generate candidate entities and select the correct entity among them.Although some methods generate relevant candidate entities by relying on specific strategies and select appropriate entities by combining feature information,they often fail to capture deeper semantic relationships,resulting in an inability to obtain high-quality candidate entities.In some cases,the correct entity may not be included among the candidate entities.Meanwhile,in specific domains,limited entity information may impair the capability of some methods for multi-level interaction.To address these issues,this paper proposes a two-stage EL method.This method first generates high-quality candidate entities and then aggregates entity feature information to achieve re-ranking at both coarse-and fine-grained levels.Specifically,it retrieves high-quality candidate entities using a contrastive learning method based on hybrid negative sample sampling.Subsequently,it predicts the fine-grained entity types in a weakly supervised manner and uses both coarse-and fine-grained type information to re-rank the candidate entities.Experimental results on three public datasets demonstrate the effectiveness of this method in enhancing EL performance.关键词
实体链接/候选实体生成/对比学习/混合负样本采样/细粒度实体类型Key words
Entity Linking(EL)/candidate entity generation/contrastive learning/mixed negative sampling/fine-grained entity types分类
信息技术与安全科学引用本文复制引用
刘军平,王润鹏,胡新荣,彭涛,王帮超,杨华利,朱强..基于对比学习和重排序的实体链接方法研究[J].计算机工程,2026,52(9):123-132,10.基金项目
教育部人文社会科学研究一般项目(23YJAZH082) （23YJAZH082）
湖北省教育科学规划重点课题(2022GA046) （2022GA046）
国家自然科学基金青年科学基金项目(62102291) （62102291）
湖北省自然科学基金计划项目(2024AFB736). （2024AFB736）
