{"title":"印地语问答系统研究综述","authors":"Amreen Kaur, Nishi and Beant Kaur","doi":"10.46501/ijmtst051189","DOIUrl":null,"url":null,"abstract":"With advancement in technology, the process of question answering is the main field of research of text\nmining. In India, the natural language of people is mainly Hindi. In automatic question generation the system\ngenerate multiple choice questions automatically from Hindi text using question generation techniques. There\nare various approaches that can be used to generate the questions from a given text. This paper presents the\nreview to various question generation techniques.","PeriodicalId":13741,"journal":{"name":"International Journal for Modern Trends in Science and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Review on Hindi Question Answering System\",\"authors\":\"Amreen Kaur, Nishi and Beant Kaur\",\"doi\":\"10.46501/ijmtst051189\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With advancement in technology, the process of question answering is the main field of research of text\\nmining. In India, the natural language of people is mainly Hindi. In automatic question generation the system\\ngenerate multiple choice questions automatically from Hindi text using question generation techniques. There\\nare various approaches that can be used to generate the questions from a given text. This paper presents the\\nreview to various question generation techniques.\",\"PeriodicalId\":13741,\"journal\":{\"name\":\"International Journal for Modern Trends in Science and Technology\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal for Modern Trends in Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46501/ijmtst051189\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Modern Trends in Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46501/ijmtst051189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
With advancement in technology, the process of question answering is the main field of research of text
mining. In India, the natural language of people is mainly Hindi. In automatic question generation the system
generate multiple choice questions automatically from Hindi text using question generation techniques. There
are various approaches that can be used to generate the questions from a given text. This paper presents the
review to various question generation techniques.
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