Fetching the paper…
Reading the bibliography…
Automatic question generation can benefit many applications ranging from dialogue systems to reading comprehension.
Learning to generate questions by learning what not to generate
Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, and Yu Xu. 2019 · 1902
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
Automatic factual question generation from text
Michael Heilman. 2011 · 2011
Earlier work this paper cites.
Generating natural language questions to support learning on-line
David Lindberg, Fred Popowich, John Nesbit, and Phil Winne. 2013 · 2013
Earlier work this paper cites.
Meteor universal: Language specific translation evaluation for any target language
Michael Denkowski and Alon Lavie. 2014 · 2014
Earlier work this paper cites.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
Earlier work this paper cites.
Long short-term memory recurrent neural network architectures for large scale acoustic modeling
Haşim Sak, Andrew Senior, and Françoise Beaufays. 2014 · 2014
Earlier work this paper cites.
Towards topic-to-question generation
Yllias Chali and Sadid A Hasan. 2015 · 2015
Earlier work this paper cites.
Deep questions without deep understanding
Igor Labutov, Sumit Basu, and Lucy Vanderwende. 2015 · 2015
Cited alongside, same era.
Ms marco: A human generated machine reading comprehension dataset
Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, and Li Deng. 2016 · 2016
Cited alongside, same era.
Squad: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
Cited alongside, same era.
Generating factoid questions with recurrent neural networks: The 30m factoid question-answer corpus
Iulian Vlad Serban, Alberto García-Durán, Caglar Gulcehre, Sungjin Ahn, Sarath Chandar, Aaron Courville, and Yoshua Bengio. 2016 · 2016
Cited alongside, same era.
Machine comprehension by text-to-text neural question generation
Xingdi Yuan, Tong Wang, Caglar Gulcehre, Alessandro Sordoni, Philip Bachman, Sandeep Subramanian, Saizheng Zhang, and Adam Trischler. 2017 · 2017
Later among the works it cites.
Neural question generation from text: A preliminary study
Qingyu Zhou, Nan Yang, Furu Wei, Chuanqi Tan, Hangbo Bao, and Ming Zhou. 2017 · 2017
Later among the works it cites.
Harvesting paragraph-level question-answer pairs from wikipedia
Xinya Du and Claire Cardie. 2018 · 2018
Later among the works it cites.
Improving neural question generation using answer separation
Yanghoon Kim, Hwanhee Lee, Joongbo Shin, and Kyomin Jung. 2018 · 2018
Later among the works it cites.
Leveraging context information for natural question generation
Linfeng Song, Zhiguo Wang, Wael Hamza, Yue Zhang, and Daniel Gildea. 2018 · 2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, and Kaheer Suleman. 2016 · 2016
Cited alongside, same era.
Learning to ask: Neural question generation for reading comprehension
Xinya Du, Junru Shao, and Claire Cardie. 2017 · 2017
Cited alongside, same era.
Question generation for question answering
Nan Duan, Duyu Tang, Peng Chen, and Ming Zhou. 2017 · 2017
Cited alongside, same era.
Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
Cited alongside, same era.
Neural models for key phrase detection and question generation
Sandeep Subramanian, Tong Wang, Xingdi Yuan, Saizheng Zhang, Yoshua Bengio, and Adam Trischler. 2017 · 2017
Cited alongside, same era.
Later among the works it cites.
Answer-focused and position-aware neural question generation
Xingwu Sun, Jing Liu, Yajuan Lyu, Wei He, Yanjun Ma, and Shi Wang. 2018 · 2018
Later among the works it cites.
Teaching machines to ask questions
Kaichun Yao, Libo Zhang, Tiejian Luo, Lili Tao, and Yanjun Wu. 2018 · 2018
Later among the works it cites.
Paragraph-level neural question generation with maxout pointer and gated self-attention networks
Yao Zhao, Xiaochuan Ni, Yuanyuan Ding, and Qifa Ke. 2018 · 2018
Later among the works it cites.
Sequential copying networks
Qingyu Zhou, Nan Yang, Furu Wei, and Ming Zhou. 2018 · 2018
Later among the works it cites.