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Training Transformers For Question Generation Task In Intelligent Tutoring Systems
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.
Matheus Santi dos Santos
Instituto de Biociências, Letras e Ciências Exatas – São José do Rio Preto – SP, Universidade Estadual Paulista "Julio de Mesquisa Filho" – UNESP
Brazil
Aleardo Manacero
Instituto de Biociências, Letras e Ciências Exatas – São José do Rio Preto – SP, Universidade Estadual Paulista "Julio de Mesquisa Filho" – UNESP
Brazil
Fernanda Fernandes Peronaglio
Instituto de Biociências, Letras e Ciências Exatas – São José do Rio Preto – SP, Universidade Estadual Paulista "Julio de Mesquisa Filho" – UNESP
Brazil
Renata Spolon Lobato
Instituto de Biociências, Letras e Ciências Exatas – São José do Rio Preto – SP, Universidade Estadual Paulista "Julio de Mesquisa Filho" – UNESP
Brazil
Roberta Spolon
Faculdade de Ciências – Bauru – SP, Universidade Estadual Paulista "Julio de Mesquisa Filho" – UNESP
Brazil
Marcos Antonio Cavenaghi
Faculty of Business - Humber Institute of Technology and Advanced Learning, Toronto, Ontario
Canada
