学习自动生成填空测验

NLP-TEA@ACL Pub Date : 2018-06-12 DOI:10.18653/v1/W18-3722
Edison Marrese-Taylor, Ai Nakajima, Y. Matsuo, Y. Ono
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引用次数: 15

摘要

在本文中,我们使用两个标准的NLP机器学习方案形式化了问题自动填空问题生成,并为每个方案提出了具体的深度学习模型。我们提出了一项基于从语言学习平台获得的数据的实证研究,表明我们提出的两种设置都提供了有希望的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Learning to Automatically Generate Fill-In-The-Blank Quizzes
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.
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