软件导刊2024，Vol.23Issue(6)：67-74,8.DOI:10.11907/rjdk.231543
一种结合关系增强融合模型的舆情关系抽取方法
A Method of Public Opinion Relation Extraction Combined With Relationship Enhanced Fusion Model
夏益昆 1赵春一2
作者信息
- 1. 沈阳理工大学 信息科学与工程学院,辽宁 沈阳 110159
- 2. 中国科学院沈阳计算技术研究所,辽宁 沈阳 110000
- 折叠
摘要
Abstract
Aiming at the problems of various types of public opinion information relations and huge state space,and the problems of relation-ship overlap and single model can not completely identify all triples in the relationship extraction task of public opinion information,a method of public opinion relation extraction based on relationship enhancement fusion model was proposed.First,the public opinion information ob-tained from the Chinese Internet is preliminarily processed to obtain a preliminary relationship table;Then,entity types are introduced to en-hance the relationship table obtained;Finally,the enhanced relationship table is input into the fusion model as a priori feature to improve the accuracy of relationship classification.Combining the recognition results of the two models,the problem that a single model cannot fully recog-nize all triples is solved.The experimental results indicate that,compared with the single model without relationship enhancement,the F1 val-ue of this method is increased by 5.4%.关键词
关系抽取/关系表增强/模型融合/全局指针网络/舆情分析Key words
relation extraction/relational schema enhancement/model fusion/global pointer network/public opinion analysis分类
信息技术与安全科学引用本文复制引用
夏益昆,赵春一..一种结合关系增强融合模型的舆情关系抽取方法[J].软件导刊,2024,23(6):67-74,8.
