Luong Tran Hien, Ly Tran Thi Ly, Pham-Nguyen Cuong, T. Dinh, Hong Tiet Gia, Le Nguyen Hoai Nam
{"title":"Towards Chatbot-based Interactive What- and How-Question Answering Systems: the Adobot Approach","authors":"Luong Tran Hien, Ly Tran Thi Ly, Pham-Nguyen Cuong, T. Dinh, Hong Tiet Gia, Le Nguyen Hoai Nam","doi":"10.1109/RIVF48685.2020.9140742","DOIUrl":null,"url":null,"abstract":"An interactive question answering (QA) system is defined as a QA system that supports a series of exchanges between users and the system to clarify user intent and to enable follow-ups. In the domains of applications related to technical support and training, there is an urgent need for an interactive QA system that supports complicated questions in a coherent manner. This paper presents the approach for designing and implementing chatbot-based interactive What- and How-QA systems based on an integrated ontology-based knowledge base.","PeriodicalId":169999,"journal":{"name":"2020 RIVF International Conference on Computing and Communication Technologies (RIVF)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 RIVF International Conference on Computing and Communication Technologies (RIVF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RIVF48685.2020.9140742","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
An interactive question answering (QA) system is defined as a QA system that supports a series of exchanges between users and the system to clarify user intent and to enable follow-ups. In the domains of applications related to technical support and training, there is an urgent need for an interactive QA system that supports complicated questions in a coherent manner. This paper presents the approach for designing and implementing chatbot-based interactive What- and How-QA systems based on an integrated ontology-based knowledge base.