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Question generation (QG) is the task of generating a question from a reference sentence and a specified answer within the sentence.
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Machine comprehension by text-to-text neural question generation
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Neural question generation from text: A preliminary study
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Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Margaret Mitchell, Xiaodong He, and Lucy Vanderwende. 2016 · 2016
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Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
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Generating factoid questions with recurrent neural networks: The 30M factoid question-answer corpus
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Difficulty controllable generation of reading comprehension questions
Yifan Gao, Lidong Bing, Wang Chen, Michael R. Lyu, and Irwin King. 2019a
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Generating distractors for reading comprehension questions from real examinations
Yifan Gao, Lidong Bing, Piji Li, Irwin King, and Michael R. Lyu. 2019b
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Interconnected question generation with coreference alignment and conversation flow modeling
Yifan Gao, Piji Li, Irwin King, and Michael R. Lyu. 2019c
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Linfeng Song, Zhiguo Wang, Wael Hamza, Yue Zhang, and Daniel Gildea. 2018 · 2018
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Improving neural question generation using answer separation
Yanghoon Kim, Hwanhee Lee, Joongbo Shin, and Kyomin Jung. 2019 · 2019
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