Training Transformers for Question Generation Task in Intelligent Tutoring Systems
dc.contributor.author | Santi, Matheus [UNESP] | |
dc.contributor.author | Manacero, Aleardo [UNESP] | |
dc.contributor.author | Peronaglio, Fernanda F. [UNESP] | |
dc.contributor.author | Lobato, Renata S. [UNESP] | |
dc.contributor.author | Spolon, Roberta [UNESP] | |
dc.contributor.author | Cavenaghi, Marcos Antonio | |
dc.contributor.author | Rocha, A. | |
dc.contributor.author | Bordel, B. | |
dc.contributor.author | Penalvo, F. G. | |
dc.contributor.author | Goncalves, R. | |
dc.contributor.institution | Universidade Estadual Paulista (UNESP) | |
dc.contributor.institution | Humber Inst Technol & Adv Learning | |
dc.date.accessioned | 2023-07-29T11:55:36Z | |
dc.date.available | 2023-07-29T11:55:36Z | |
dc.date.issued | 2022-01-01 | |
dc.description.abstract | 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. | en |
dc.description.affiliation | Sao Paulo State Univ UNESP, Comp Sci & Stat Dept, Sao Jose Do Rio Preto, SP, Brazil | |
dc.description.affiliation | Sao Paulo State Univ UNESP, Comp Dept, Bauru, SP, Brazil | |
dc.description.affiliation | Humber Inst Technol & Adv Learning, Toronto, ON, Canada | |
dc.description.affiliationUnesp | Sao Paulo State Univ UNESP, Comp Sci & Stat Dept, Sao Jose Do Rio Preto, SP, Brazil | |
dc.description.affiliationUnesp | Sao Paulo State Univ UNESP, Comp Dept, Bauru, SP, Brazil | |
dc.format.extent | 6 | |
dc.identifier.citation | 2022 17th Iberian Conference on Information Systems and Technologies (cisti). New York: IEEE, 6 p., 2022. | |
dc.identifier.issn | 2166-0727 | |
dc.identifier.uri | http://hdl.handle.net/11449/245457 | |
dc.identifier.wos | WOS:000848616300361 | |
dc.language.iso | eng | |
dc.publisher | Ieee | |
dc.relation.ispartof | 2022 17th Iberian Conference On Information Systems And Technologies (cisti) | |
dc.source | Web of Science | |
dc.subject | question generation | |
dc.subject | transformers | |
dc.subject | artificial intelligence | |
dc.subject | intelligent tutoring systems | |
dc.title | Training Transformers for Question Generation Task in Intelligent Tutoring Systems | en |
dc.type | Trabalho apresentado em evento | |
dcterms.license | http://www.ieee.org/publications_standards/publications/rights/rights_policies.html | |
dcterms.rightsHolder | Ieee |