RevUP: Automatic Gap-Fill Question Generation from Educational Texts
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Association for Computational Linguistics
Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
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3. A Method for Generating Course Test Questions Based on Natural Language Processing and Deep Learning;Education and Information Technologies;2023-09-02
4. Automated Question and Answer Generation from Texts using Text-to-Text Transformers;Arabian Journal for Science and Engineering;2023-05-03
5. Automatic generation of short-answer questions in reading comprehension using NLP and KNN;Multimedia Tools and Applications;2023-04-12
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