Training Transformers for Question Generation Task in Intelligent Tutoring Systems
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.23919/CISTI54924.2022.9820606 http://hdl.handle.net/11449/242073 |
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. |
id |
UNSP_e0528122898fd22f0f4da1051a41cc87 |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/242073 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
Training Transformers for Question Generation Task in Intelligent Tutoring SystemsArtificial intelligenceIntelligent tutoring systemsquestion generationTransformersOver 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.Computer Science and Statistics Dept São Paulo State University – UNESP, SPComputing Dept São Paulo State University – UNESP, SPHumber Institute of Technology and Advanced LearningComputer Science and Statistics Dept São Paulo State University – UNESP, SPComputing Dept São Paulo State University – UNESP, SPUniversidade Estadual Paulista (UNESP)Humber Institute of Technology and Advanced LearningSanti, Matheus [UNESP]Manacero, Aleardo [UNESP]Peronaglio, Fernanda F. [UNESP]Lobato, Renata S. [UNESP]Spolon, Roberta [UNESP]Cavenaghi, Marcos Antonio2023-03-02T08:37:14Z2023-03-02T08:37:14Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.23919/CISTI54924.2022.9820606Iberian Conference on Information Systems and Technologies, CISTI, v. 2022-June.2166-07352166-0727http://hdl.handle.net/11449/24207310.23919/CISTI54924.2022.98206062-s2.0-85134830833Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIberian Conference on Information Systems and Technologies, CISTIinfo:eu-repo/semantics/openAccess2024-04-23T16:11:19Zoai:repositorio.unesp.br:11449/242073Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:58:00.956627Repositório 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] Artificial intelligence Intelligent tutoring systems question generation Transformers |
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 |
author_role |
author |
author2 |
Manacero, Aleardo [UNESP] Peronaglio, Fernanda F. [UNESP] Lobato, Renata S. [UNESP] Spolon, Roberta [UNESP] Cavenaghi, Marcos Antonio |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Humber Institute of Technology and Advanced 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 |
dc.subject.por.fl_str_mv |
Artificial intelligence Intelligent tutoring systems question generation Transformers |
topic |
Artificial intelligence Intelligent tutoring systems question generation Transformers |
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 2023-03-02T08:37:14Z 2023-03-02T08:37:14Z |
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 |
http://dx.doi.org/10.23919/CISTI54924.2022.9820606 Iberian Conference on Information Systems and Technologies, CISTI, v. 2022-June. 2166-0735 2166-0727 http://hdl.handle.net/11449/242073 10.23919/CISTI54924.2022.9820606 2-s2.0-85134830833 |
url |
http://dx.doi.org/10.23919/CISTI54924.2022.9820606 http://hdl.handle.net/11449/242073 |
identifier_str_mv |
Iberian Conference on Information Systems and Technologies, CISTI, v. 2022-June. 2166-0735 2166-0727 10.23919/CISTI54924.2022.9820606 2-s2.0-85134830833 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
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.source.none.fl_str_mv |
Scopus 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_ |
1808128726842474496 |