Training Transformers for Question Generation Task in Intelligent Tutoring Systems
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/245457 |
Resumo: | Over the last few years, natural language processing (NLP) technologies have largely evolved, allowing their application in new scenarios with much more significant results. With the introduction of NLP into intelligent tutoring systems, several automation techniques could be used to improve the teaching process, among them, question generation, which allows the automated creation of interpretative questions from textual sources. This work explores the application of Transformers neural networks in the Question Generation task, developing several models and comparing their initial results. |
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Repositório Institucional da UNESP |
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Training Transformers for Question Generation Task in Intelligent Tutoring Systemsquestion generationtransformersartificial intelligenceintelligent tutoring systemsOver the last few years, natural language processing (NLP) technologies have largely evolved, allowing their application in new scenarios with much more significant results. With the introduction of NLP into intelligent tutoring systems, several automation techniques could be used to improve the teaching process, among them, question generation, which allows the automated creation of interpretative questions from textual sources. This work explores the application of Transformers neural networks in the Question Generation task, developing several models and comparing their initial results.Sao Paulo State Univ UNESP, Comp Sci & Stat Dept, Sao Jose Do Rio Preto, SP, BrazilSao Paulo State Univ UNESP, Comp Dept, Bauru, SP, BrazilHumber Inst Technol & Adv Learning, Toronto, ON, CanadaSao Paulo State Univ UNESP, Comp Sci & Stat Dept, Sao Jose Do Rio Preto, SP, BrazilSao Paulo State Univ UNESP, Comp Dept, Bauru, SP, BrazilIeeeUniversidade Estadual Paulista (UNESP)Humber Inst Technol & Adv LearningSanti, Matheus [UNESP]Manacero, Aleardo [UNESP]Peronaglio, Fernanda F. [UNESP]Lobato, Renata S. [UNESP]Spolon, Roberta [UNESP]Cavenaghi, Marcos AntonioRocha, A.Bordel, B.Penalvo, F. G.Goncalves, R.2023-07-29T11:55:36Z2023-07-29T11:55:36Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject62022 17th Iberian Conference on Information Systems and Technologies (cisti). New York: IEEE, 6 p., 2022.2166-0727http://hdl.handle.net/11449/245457WOS:000848616300361Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2022 17th Iberian Conference On Information Systems And Technologies (cisti)info:eu-repo/semantics/openAccess2023-07-29T11:55:36Zoai:repositorio.unesp.br:11449/245457Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:15:24.088128Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Training Transformers for Question Generation Task in Intelligent Tutoring Systems |
title |
Training Transformers for Question Generation Task in Intelligent Tutoring Systems |
spellingShingle |
Training Transformers for Question Generation Task in Intelligent Tutoring Systems Santi, Matheus [UNESP] question generation transformers artificial intelligence intelligent tutoring systems |
title_short |
Training Transformers for Question Generation Task in Intelligent Tutoring Systems |
title_full |
Training Transformers for Question Generation Task in Intelligent Tutoring Systems |
title_fullStr |
Training Transformers for Question Generation Task in Intelligent Tutoring Systems |
title_full_unstemmed |
Training Transformers for Question Generation Task in Intelligent Tutoring Systems |
title_sort |
Training Transformers for Question Generation Task in Intelligent Tutoring Systems |
author |
Santi, Matheus [UNESP] |
author_facet |
Santi, Matheus [UNESP] Manacero, Aleardo [UNESP] Peronaglio, Fernanda F. [UNESP] Lobato, Renata S. [UNESP] Spolon, Roberta [UNESP] Cavenaghi, Marcos Antonio Rocha, A. Bordel, B. Penalvo, F. G. Goncalves, R. |
author_role |
author |
author2 |
Manacero, Aleardo [UNESP] Peronaglio, Fernanda F. [UNESP] Lobato, Renata S. [UNESP] Spolon, Roberta [UNESP] Cavenaghi, Marcos Antonio Rocha, A. Bordel, B. Penalvo, F. G. Goncalves, R. |
author2_role |
author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Humber Inst Technol & Adv Learning |
dc.contributor.author.fl_str_mv |
Santi, Matheus [UNESP] Manacero, Aleardo [UNESP] Peronaglio, Fernanda F. [UNESP] Lobato, Renata S. [UNESP] Spolon, Roberta [UNESP] Cavenaghi, Marcos Antonio Rocha, A. Bordel, B. Penalvo, F. G. Goncalves, R. |
dc.subject.por.fl_str_mv |
question generation transformers artificial intelligence intelligent tutoring systems |
topic |
question generation transformers artificial intelligence intelligent tutoring systems |
description |
Over the last few years, natural language processing (NLP) technologies have largely evolved, allowing their application in new scenarios with much more significant results. With the introduction of NLP into intelligent tutoring systems, several automation techniques could be used to improve the teaching process, among them, question generation, which allows the automated creation of interpretative questions from textual sources. This work explores the application of Transformers neural networks in the Question Generation task, developing several models and comparing their initial results. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 2023-07-29T11:55:36Z 2023-07-29T11:55:36Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
2022 17th Iberian Conference on Information Systems and Technologies (cisti). New York: IEEE, 6 p., 2022. 2166-0727 http://hdl.handle.net/11449/245457 WOS:000848616300361 |
identifier_str_mv |
2022 17th Iberian Conference on Information Systems and Technologies (cisti). New York: IEEE, 6 p., 2022. 2166-0727 WOS:000848616300361 |
url |
http://hdl.handle.net/11449/245457 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2022 17th Iberian Conference On Information Systems And Technologies (cisti) |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
6 |
dc.publisher.none.fl_str_mv |
Ieee |
publisher.none.fl_str_mv |
Ieee |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129180601155584 |