{"title":"一项调查:复杂知识库问答","authors":"Yuxin Luo, Bailong Yang, Donghui Xu, Luogeng Tian","doi":"10.1109/icicse55337.2022.9828967","DOIUrl":null,"url":null,"abstract":"Knowledge base question answering(KBQA) is a technique that utilizes the rich semantic information in the knowledge base and fully understands the question to obtain the answer. At present, scholars put more energy into solving complex relationship problems. This paper first outlines the background and core challenges of complex KBQA. Second, two mainstream complex KBQA methods are introduced, namely, semantic parsing (SP-based) and information retrieval (IR-based) methods. Finally, future research trends are analyzed.","PeriodicalId":177985,"journal":{"name":"2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE)","volume":"03 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Survey: Complex Knowledge Base Question Answering\",\"authors\":\"Yuxin Luo, Bailong Yang, Donghui Xu, Luogeng Tian\",\"doi\":\"10.1109/icicse55337.2022.9828967\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Knowledge base question answering(KBQA) is a technique that utilizes the rich semantic information in the knowledge base and fully understands the question to obtain the answer. At present, scholars put more energy into solving complex relationship problems. This paper first outlines the background and core challenges of complex KBQA. Second, two mainstream complex KBQA methods are introduced, namely, semantic parsing (SP-based) and information retrieval (IR-based) methods. Finally, future research trends are analyzed.\",\"PeriodicalId\":177985,\"journal\":{\"name\":\"2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE)\",\"volume\":\"03 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icicse55337.2022.9828967\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icicse55337.2022.9828967","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Survey: Complex Knowledge Base Question Answering
Knowledge base question answering(KBQA) is a technique that utilizes the rich semantic information in the knowledge base and fully understands the question to obtain the answer. At present, scholars put more energy into solving complex relationship problems. This paper first outlines the background and core challenges of complex KBQA. Second, two mainstream complex KBQA methods are introduced, namely, semantic parsing (SP-based) and information retrieval (IR-based) methods. Finally, future research trends are analyzed.