基于图注意力网络的时序知识图谱人机交互模型
A Human-Computer Interaction Model over Temporal Knowledge Graphs Based on Graph Attention Networks
摘要
Abstract
Organizing and retrieving information is one of the key topics in human-computer interaction.Intelligent question-answering system over Knowledge Graph(KG)has become an effective way to retrieve information through semantic parsing of user's ques-tions,retrieving knowledge and answering questions,which is a typical application of human-computer interaction.Question-answering sys-tem over Temporal Knowledge Graph(TKG)obtains entities and timestamps from questions through the language model and retrieves an-swers from a large TKG However,the question-answering system over temporal knowledge graphs contains two challenges:① Given the question,the entire TKG needs to be retrieved,which is inefficient and vulnerable to interfering items;② It is difficult to capture the time words and chronological information in the question.A Time Contrast Learning(TCL)is proposed,which trains both the source problem and the contrast problem after replacing the temporal words,and uses the graph attention network to update the node features of the entity neighbor sub-graph,in order to reduce the retrieval space for potential answers.Extensive experiments are conducted on the CRONQUES-TIONS dataset,and the results show that TCL has better performance than other benchmark methods with an average improvement of 3.44％in the metric of Hits@1 and 2.02％in Hits@10,respectively,when compared to the state-of-the-art baseline method.关键词
智能问答/时序知识图谱/图注意力网络/时间对比学习/语言模型Key words
intelligent question answering/TKG/graph attention networks/TCL/language model分类
信息技术与安全科学引用本文复制引用
于泳,乔少杰,陈金勇,高林,黄江涛,刘晨旭,韩楠,张桃,蔡宏果..基于图注意力网络的时序知识图谱人机交互模型[J].无线电工程,2024,54(7):1676-1686,11.基金项目
国家自然科学基金(62272066) （62272066）
四川省科技计划(2021JDJQ0021,2022YFG0186,2022NSFSC0511,2023YFG0027) （2021JDJQ0021,2022YFG0186,2022NSFSC0511,2023YFG0027）
教育部人文社会科学研究规划基金(22YJAZH088) （22YJAZH088）
宜宾市引进高层次人才项目(2022YG02) （2022YG02）
成都市"揭榜挂帅"科技项目(2022-JB00-00002-GX,2021-JB00-00025-GX) （2022-JB00-00002-GX,2021-JB00-00025-GX）
成都市技术创新研发项目(重点项目)(2024-YF08-00029-GX) （重点项目）
成都市区域科技创新合作项目(2023-YF11-00020-HZ) （2023-YF11-00020-HZ）
中国电子科技集团公司第五十四研究所高校合作课题(SKX212010057) （SKX212010057）
成都海关科研项目资助(2022CK008)National Natural Science Foundation of China(62272066) （2022CK008）
Sichuan Science and Technology Program(2021JDJQ0021,2022YFG0186,2022NSFSC0511,2023 YFG0027) （2021JDJQ0021,2022YFG0186,2022NSFSC0511,2023 YFG0027）
Planning Foundation for Humanities and Social Sciences of Ministry of Education of China(22YJAZH088) （22YJAZH088）
High-level Talent Introduction Project of Yibin(2022YG02) （2022YG02）
Chengdu"Take the Lead"Science and Technology Project(2022-JB00-00002-GX,2021-JB00-00025-GX) （2022-JB00-00002-GX,2021-JB00-00025-GX）
Chengdu Technological Innovation Research and Development Major Project(2024-YF08-00029-GX) （2024-YF08-00029-GX）
Chengdu Regional Science and Technology Innovation Cooperation Project(2023-YF11-00020-HZ) （2023-YF11-00020-HZ）
The 54th Research Institute of CETC-University Cooperation Project(SKX212010057) （SKX212010057）
Chengdu Customs Scientific Research Project(2022CK008) （2022CK008）
