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.
Cite
CITATION STYLE
Marrese-Taylor, E., Nakajima, A., Matsuo, Y., & Yuichi, O. (2018). Learning to Automatically Generate Fill-In-The-Blank Quizzes. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 152–156). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w18-3722
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