Learning to Automatically Generate Fill-In-The-Blank Quizzes

Edison Marrese-Taylor, Ai Nakajima, Yutaka Matsuo, Ono Yuichi


Abstract
In this paper we formalize the problem automatic fill-in-the-blank question generation using two standard NLP machine learning schemes, proposing concrete deep learning models for each. We present an empirical study based on data obtained from a language learning platform showing that both of our proposed settings offer promising results.
Anthology ID:
W18-3722
Volume:
Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications
Month:
July
Year:
2018
Address:
Melbourne, Australia
Editors:
Yuen-Hsien Tseng, Hsin-Hsi Chen, Vincent Ng, Mamoru Komachi
Venue:
NLP-TEA
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
152–156
Language:
URL:
https://aclanthology.org/W18-3722
DOI:
10.18653/v1/W18-3722
Bibkey:
Cite (ACL):
Edison Marrese-Taylor, Ai Nakajima, Yutaka Matsuo, and Ono Yuichi. 2018. Learning to Automatically Generate Fill-In-The-Blank Quizzes. In Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications, pages 152–156, Melbourne, Australia. Association for Computational Linguistics.
Cite (Informal):
Learning to Automatically Generate Fill-In-The-Blank Quizzes (Marrese-Taylor et al., NLP-TEA 2018)
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PDF:
https://aclanthology.org/W18-3722.pdf