计算机工程与应用2024，Vol.60Issue(17)：139-147,9.DOI:10.3778/j.issn.1002-8331.2306-0207
反绎学习支持下的自动问答及其应用
Automatic Question and Answering Supported by Abductive Learning and Its Application
摘要
Abstract
Automatic question and answering(QA)techniques can provide users with fast and accurate information retrieval and problem-solving services.However,the answers generated by current common methods are often inaccurate,incom-plete and unnatural.To this end,an abductive learning-based automatic QA method is proposed,which employs knowl-edge graph-based QA to infer and optimize the generation-based QA.Furthermore,the overall abductive learning frame-work is employed to optimize entity recognition and relationship extraction methods.The proposed method is applied to self-learning of the"Data Structures"course.The results show that the abductive learning-based automatic QA method can overcome the shortcomings of both the generation-based QA and knowledge graph-based QA,and improve the accu-racy of the QA system.关键词
自动问答/反绎学习/知识图谱问答/生成式问答Key words
automatic question and answering(QA)/abductive learning/knowledge graph QA/generative QA分类
信息技术与安全科学引用本文复制引用
张鹏,郝国生,王霞,许文阳,祝义..反绎学习支持下的自动问答及其应用[J].计算机工程与应用,2024,60(17):139-147,9.基金项目
国家自然科学基金(62277030) （62277030）
国家自然科学基金面上项目(62077029) （62077029）
江苏省研究生科研与实践创新计划(SJCX24_1525). （SJCX24_1525）
