计算机应用与软件2025，Vol.42Issue(5)：238-246,9.DOI:10.3969/j.issn.1000-386x.2025.05.033
基于片段排列和多头选择的实体识别与关系抽取联合模型
JOINT ENTITY RELATION EXTRACTION BASED ON FRAGMENT ARRANGEMENT AND MULTI-HEAD SELECTION
摘要
Abstract
Aimed at the problems of entity overlap,error accumulation and lack of dependency in traditional information extraction methods,a joint model of entity recognition and relationship extraction based on fragment arrangement and multi-head selection is proposed.We established the dependence between entity recognition and relationship extraction by sharing the coding layer,and solved the problem of entity overlap at the level of span through fragment arrangement.The multi-head selection mechanism was used to predict the relationship between entities,and the confrontation training was added,which was constrained by the auxiliary loss function.Through ablation experiments and experiments based on different weight loss functions,the best parameters were found.The model was implemented in the Chinese dataset DuIE 2.0,and the F1 value of 0.829 was achieved,which was increased by 2.24％compared with the baseline model with the best effect.关键词
实体关系抽取/联合抽取/多头选择/片段排列模型Key words
Entity relation extraction/Joint extraction/Multi-head selection/Span-level model分类
信息技术与安全科学引用本文复制引用
陈雷,郑小盈,祝永新,封松林..基于片段排列和多头选择的实体识别与关系抽取联合模型[J].计算机应用与软件,2025,42(5):238-246,9.基金项目
国家重点研发计划项目(2020SKA0120202) （2020SKA0120202）
国家自然科学基金项目(U2032125). （U2032125）
