{"title":"自然语言条件任务自动生成方法综述","authors":"V. Kruchinin, Vladimir V. Kuzovkin","doi":"10.32603/2071-2340-2022-1-85-96","DOIUrl":null,"url":null,"abstract":"The paper considers the main algorithms for generating various school subject problems of closed and open type. Some of these algorythms (i.e. question answering, Visual question answering) use artificial intelligence and some not (i.e. sets of AND/OR tree, templates). It was shown that methods for generating tests using artificial intelligence have a high potential, but they require further development, in particular, the creation of large question-answer database in russian language.","PeriodicalId":319537,"journal":{"name":"Computer Tools in Education","volume":"23 S1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Overview of Existing Methods for Automatic Generation of Tasks with Conditions in Natural Language\",\"authors\":\"V. Kruchinin, Vladimir V. Kuzovkin\",\"doi\":\"10.32603/2071-2340-2022-1-85-96\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper considers the main algorithms for generating various school subject problems of closed and open type. Some of these algorythms (i.e. question answering, Visual question answering) use artificial intelligence and some not (i.e. sets of AND/OR tree, templates). It was shown that methods for generating tests using artificial intelligence have a high potential, but they require further development, in particular, the creation of large question-answer database in russian language.\",\"PeriodicalId\":319537,\"journal\":{\"name\":\"Computer Tools in Education\",\"volume\":\"23 S1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Tools in Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32603/2071-2340-2022-1-85-96\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Tools in Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32603/2071-2340-2022-1-85-96","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Overview of Existing Methods for Automatic Generation of Tasks with Conditions in Natural Language
The paper considers the main algorithms for generating various school subject problems of closed and open type. Some of these algorythms (i.e. question answering, Visual question answering) use artificial intelligence and some not (i.e. sets of AND/OR tree, templates). It was shown that methods for generating tests using artificial intelligence have a high potential, but they require further development, in particular, the creation of large question-answer database in russian language.