Publication: Automatic generation of questions based on semantic text analysis
Дата
2020
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© 2020 IEEE.Recently, scientists have shown great interest in the processing of natural language. This article presents a template-based approach to the automatic generation of test questions that takes note of the semantic structure of the text. The main idea of the work consists in an automated composition of questions for testing from affirmative sentences that make up the text. The generated questions are then selected by the teacher. The results of experiments with text fragments from literary sources on various topics are given. The main problems for further work and successful testing of the software product in the conditions of classrooms of educational institutions are singled out.
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Ilya, B. Automatic generation of questions based on semantic text analysis / Ilya, B., Vadim, M., Silnov, D. // 14th IEEE International Conference on Application of Information and Communication Technologies, AICT 2020 - Proceedings. - 2020. - 10.1109/AICT50176.2020.9368686
URI
https://www.doi.org/10.1109/AICT50176.2020.9368686
https://www.scopus.com/record/display.uri?eid=2-s2.0-85102981504&origin=resultslist
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000702043900042
https://openrepository.mephi.ru/handle/123456789/23166
https://www.scopus.com/record/display.uri?eid=2-s2.0-85102981504&origin=resultslist
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000702043900042
https://openrepository.mephi.ru/handle/123456789/23166