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Inquisitive probing questions come naturally to humans in a variety of settings, but is a challenging task for automatic systems.
Ask to learn: A study on curiosity-driven question generation
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Building a large annotated corpus of English: The Penn Treebank
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The psychology of curiosity: A review and reinterpretation
George Loewenstein. 1994 · 1994
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The evolution of the summary news lead
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Effects of adjective orientation and gradability on sentence subjectivity
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Peng Qi, Yuhao Zhang, and Christopher D. Manning. 2020 · 2004
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Answering and questioning for machine reading
Lucy Vanderwende. 2007 · 2007
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The importance of being important: Question generation
Lucy Vanderwende. 2008 · 2008
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The first question generation shared task evaluation challenge
Vasile Rus, Brendan Wyse, Paul Piwek, Mihai Lintean, Svetlana Stoyanchev, and Cristian Moldovan. 2010 · 2010
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Neural system combination for machine translation
Long Zhou, Wenpeng Hu, Jiajun Zhang, and Chengqing Zong. 2017 · 2010
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Curiosity and the development of question generation skills
Jamie J Jirout. 2011 · 2011
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Modelling entity instantiations
Andrew McKinlay and Katja Markert. 2011 · 2011
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Varieties of question generation: Introduction to this special issue
Paul Piwek and Kristy Elizabeth Boyer. 2012 · 2012
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The Stanford CoreNLP Natural Language Processing Toolkit
Christopher D. Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven J. Bethard, and David McClosky. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
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Problems in current text simplification research: New data can help
Wei Xu, Chris Callison-Burch, and Courtney Napoles. 2015 · 2015
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MS MARCO: A human generated machine reading comprehension dataset
Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen, Mir Rosenberg, Xia Song, Alina Stoica, Saurabh Tiwary, and Tong Wang. 2016 · 2016
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A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016a · 2016
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SQuAD: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Konstantin Lopyrev Jian Zhang, and Percy Liang. 2016 · 2016
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Neural models for key phrase extraction and question generation
Sandeep Subramanian, Tong Wang, Xingdi Yuanv Saizheng Zhang, Adam Trischler, and Yoshua Bengio. 2018 · 2018
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Visual curiosity: Learning to ask questions to learn visual recognition
Jianwei Yang, Jiasen Lu, Stefan Lee, Dhruv Batra, and Devi Parikh. 2018 · 2018
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WikiQA: A challenge dataset for open-domain question answering
Yi Yang, Wen-Tau Yih, and Christopher Meek. 2015 · 2018
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Paragraph-level neural question generation with maxout pointer and gated self-attention networks
Yao Zhao, Xiaochuan Ni, Yuanyuan Ding, and Qifa Ke. 2018 · 2018
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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What do you mean exactly?: Analyzing clarification questions in CQA
Pavel Braslavski, Denis Savenkov, Eugene Agichtein, and Alina Dubatovka. 2017 · 2017
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Learning to ask: Neural question generation for reading comprehension
Xinya Du, Junru Shao, and Claire Cardie. 2017 · 2017
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SearchQA: A new Q&A dataset augmented with context from a search engine
Matthew Dunn, Levent Sagun, Mike Higgins, V. Ugur Guney, Volkan Cirik, and Kyunghyun Cho. 2017 · 2017
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It doesn’t hurt to ask: Question-asking increases liking
Karen Huang, Michael Yeomans, Alison Wood Brooks, Julia Minson, and Francesca Gino. 2017 · 2017
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NewsQA: A Machine Comprehension Dataset
Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, and Kaheer Suleman Philip Bachman. 2017 · 2017
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Machine comprehension by text-to-text neural question generation
Xingdi Yuan, Tong Wang, Caglar Gulcehre, Alessandro Sordoni, Philip Bachman, Saizheng Zhang, Sandeep Subramanian, and Adam Trischler. 2017 · 2017
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QuAC: Question answering in context
Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen tau Yih, Yejin Choi, Percy Liang, and Luke Zettlemoyer. 2018 · 2018
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Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Matthew Kelcey, Jacob Devlin, Kenton Lee, Kristina N. Toutanova, Llion Jones, Ming-Wei Chang, Andrew Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov. 2019 · 2019
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Towards answer-unaware conversational question generation
Mao Nakanishi, Tetsunori Kobayashi, and Yoshihiko Hayashi. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Answer-based adversarial training for generating clarification questions
Sudha Rao and Hal Daumé III. 2019 · 2019
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CoQA: A conversational question answering challenge
Siva Reddy, Danqi Chen, and Christopher D Manning. 2019 · 2019
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A multi-agent communication framework for question-worthy phrase extraction and question generation
Siyuan Wang, Zhongyu Wei, Zhihao Fan, Yang Liu, and Xuanjing Huang. 2019 · 2019
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TyDi QA: A benchmark for information-seeking question answering in typologically diverse languages
Jonathan H. Clark, Eunsol Choi, Michael Collins, Dan Garrette, Tom Kwiatkowski, Vitaly Nikolaev, and Jennimaria Palomaki. 2020 · 2020
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TED-Q: TED talks and the questions they evoke
Matthijs Westera, Laia Mayol, and Hannah Rohde. 2020 · 2020
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Large-scale QA-SRL parsing
Nicholas FitzGerald, Julian Michael, Luheng He, and Luke Zettlemoyer. 2018 · 2060
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Identifying where to focus in reading comprehension for neural question generation
Xinya Du and Claire Cardie. 2017 · 2073
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