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All Journal ELINVO (Electronics, Informatics, and Vocational Education)
Danang Wijaya
Informatics Engineering Education, Universitas Negeri Yogyakarta
Computer Science & IT Education Electrical & Electronics Engineering

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A Comparison of OpenNMT Sequence Model for Indonesian Automatic Question Generation Yuniar Indrihapsari; Handaru Jati; N. Nurkhamid; Ratna Wardani; Pradana Setialana; Muhamad Izzudin Mahali; Danang Wijaya; Dhista Dwi Nur Ardiansyah; Satya Adhiyaksa Ardy; Maria Bernadetha Charlotta Wonda Tiala; Andi Hakim Al-khawarizmi; Widya Ardiyanto
Elinvo (Electronics, Informatics, and Vocational Education) Vol 8, No 1 (2023): Mei 2023
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/elinvo.v8i1.56491

Abstract

Evaluation of learners is a crucial aspect of the educational system. However, creating evaluation instruments is a process that demands teachers' time and energy. The researcher developed the Indonesia Automatic Question Generator in this study using an architecture modified from past studies. The primary goals of this project are (1) to construct an AQG tool utilizing the OpenNMT series and (2) to analyze and compare the model's performance. As a data source, this study employs the SQuAD 2.0 dataset and numerous sequence techniques, including BiGRU, BiLSTM, and Transformer. The researcher trained the models using OpenNMT-py and Google Collaboratory. This approach generates questions that are relevant to the context of the source. This study found that the model was acceptable.
Co-Authors Andi Hakim Al-khawarizmi Dhista Dwi Nur Ardiansyah Handaru Jati Maria Bernadetha Charlotta Wonda Tiala Muhamad Izzudin Mahali Nurkhamid Nurkhamid Ratna Wardani Satya Adhiyaksa Ardy Setialana, Pradana Widya Ardiyanto Yuniar Indrihapsari