计算机应用与软件2026，Vol.43Issue(2)：204-213,10.DOI:10.3969/j.issn.1000-386x.2026.02.027
面向动态知识库的多教师知识问答模型
MULTI-TEACHER KNOWLEDGE BASED QUESTION ANSWERING MODEL FOR DYNAMIC KNOWLEDGE BASE
摘要
Abstract
Aiming at the lack of continuous learning ability of existing knowledge base question answering methods and difficulty on dynamic knowledge bases,we proposed a question answering model based on multi-teacher distillation and incremental learning dynamic knowledge base.The model could guarantee the memory ability of historical knowledge while learning new knowledge,and realized continuous learning.In addition,inspired by multi-teacher distillation,this paper designed a multi-teacher framework to further optimize the effect of knowledge distillation by using multiple different teacher models.Experimental results show that the model achieves accuracy rates of 91.02,72.65,and 73.82 on three standard datasets.关键词
知识库问答/增量学习/知识蒸馏/师生网络Key words
KBQA/Incremental learning/Knowledge distillation/T-S net分类
信息技术与安全科学引用本文复制引用
张龙飞,宋扬,白庆春..面向动态知识库的多教师知识问答模型[J].计算机应用与软件,2026,43(2):204-213,10.基金项目
日照市自然科学基金项目(RZ2021ZR30) （RZ2021ZR30）
山东省自然科学基金青年项目(ZR2022QF088) （ZR2022QF088）
上海市"科技创新行动计划"启明星项目扬帆专项(23YF1426100). （23YF1426100）
