КФУ. Карточка публикации. Development of prototype of natural language answer processor for e-learning

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DEVELOPMENT OF PROTOTYPE OF NATURAL LANGUAGE ANSWER PROCESSOR FOR E-LEARNING

Форма представления

Статьи в зарубежных журналах и сборниках

Год публикации

2020

Язык

английский

Авторы, сотрудники КФУ

Прокопьев Николай Аркадьевич, автор

Сулейманов Джавдет Шевкетович, автор

Библиографическое описание на языке оригинала

Suleymanov D, Prokopyev N., Development of prototype of natural language answer processor for e-learning//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - 2020. - Vol.12412 LNAI, Is.. - P.448-459.

Аннотация

Automated knowledge control is an important component of e-Learning systems. Moreover, as an analysis of the most recent publications shows, the possibility of automated free natural language answers assessment is almost not represented in modern e-learning systems. Existing educational technologies either support only test approach to knowledge control, or when processing a natural-language answer, its semantic structure is not taken into account sufficiently for accurate assessment. This paper presents a software prototype that implements an algorithm for semantic processing of natural language answers. The basis of the algorithm is a theoretical pragmatically-oriented model proposed by D. Suleymanov, where main methodological principles are the principle of context determinism and the principle of meaning expectation. The implemented prototype was evaluated in order to verify its compliance with theoretical model and obtain the data necessary for further development of model and algorithm.

Ключевые слова

Automatic answer assessment, Natural language processing, e-Learning, e-Assessment

Название журнала

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092147869&doi=10.1007%2f978-3-030-59535-7_33&partnerID=40&md5=7958ac662568cf78f5b96ce2662d0393

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https://repository.kpfu.ru/?p_id=241701

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Прокопьев Николай Аркадьевич	ru_RU
dc.contributor.author	Сулейманов Джавдет Шевкетович	ru_RU
dc.date.accessioned	2020-01-01T00:00:00Z	ru_RU
dc.date.available	2020-01-01T00:00:00Z	ru_RU
dc.date.issued	2020	ru_RU
dc.identifier.citation	Suleymanov D, Prokopyev N., Development of prototype of natural language answer processor for e-learning//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - 2020. - Vol.12412 LNAI, Is.. - P.448-459.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=241701	ru_RU
dc.description.abstract	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	ru_RU
dc.description.abstract	Automated knowledge control is an important component of e-Learning systems. Moreover, as an analysis of the most recent publications shows, the possibility of automated free natural language answers assessment is almost not represented in modern e-learning systems. Existing educational technologies either support only test approach to knowledge control, or when processing a natural-language answer, its semantic structure is not taken into account sufficiently for accurate assessment. This paper presents a software prototype that implements an algorithm for semantic processing of natural language answers. The basis of the algorithm is a theoretical pragmatically-oriented model proposed by D. Suleymanov, where main methodological principles are the principle of context determinism and the principle of meaning expectation. The implemented prototype was evaluated in order to verify its compliance with theoretical model and obtain the data necessary for further development of model and algorithm.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Automatic answer assessment	ru_RU
dc.subject	Natural language processing	ru_RU
dc.subject	e-Learning	ru_RU
dc.subject	e-Assessment	ru_RU
dc.title	Development of prototype of natural language answer processor for e-learning	ru_RU
dc.type	Статьи в зарубежных журналах и сборниках	ru_RU