{"title":"聊天机器人:面向学生的问答系统","authors":"Li En Chen, Shein-Yung Cheng, J. Heh","doi":"10.1109/ICALT52272.2021.00110","DOIUrl":null,"url":null,"abstract":"In the last few years there has been a fast growing up of the use of Chatbots in various fields, such as Customer Service, Marketing, Educational, Health Care and many others. This paper develops a Question Answering System in educational domain. Using Word Embedding, Latent Dirichlet Allocation and Text summarization method build 3 knowledge bases. According question sentence analysis then LineBot retrieve data from these knowledge bases and provides proper answers to the student. Comparison experimental group-used LineBot hits and reading time in e-learning system, are more than control group.","PeriodicalId":170895,"journal":{"name":"2021 International Conference on Advanced Learning Technologies (ICALT)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Chatbot : A Question Answering System for Student\",\"authors\":\"Li En Chen, Shein-Yung Cheng, J. Heh\",\"doi\":\"10.1109/ICALT52272.2021.00110\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the last few years there has been a fast growing up of the use of Chatbots in various fields, such as Customer Service, Marketing, Educational, Health Care and many others. This paper develops a Question Answering System in educational domain. Using Word Embedding, Latent Dirichlet Allocation and Text summarization method build 3 knowledge bases. According question sentence analysis then LineBot retrieve data from these knowledge bases and provides proper answers to the student. Comparison experimental group-used LineBot hits and reading time in e-learning system, are more than control group.\",\"PeriodicalId\":170895,\"journal\":{\"name\":\"2021 International Conference on Advanced Learning Technologies (ICALT)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Advanced Learning Technologies (ICALT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICALT52272.2021.00110\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Advanced Learning Technologies (ICALT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICALT52272.2021.00110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In the last few years there has been a fast growing up of the use of Chatbots in various fields, such as Customer Service, Marketing, Educational, Health Care and many others. This paper develops a Question Answering System in educational domain. Using Word Embedding, Latent Dirichlet Allocation and Text summarization method build 3 knowledge bases. According question sentence analysis then LineBot retrieve data from these knowledge bases and provides proper answers to the student. Comparison experimental group-used LineBot hits and reading time in e-learning system, are more than control group.