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Emerging research in Neural Question Generation (NQG) has started to integrate a larger variety of inputs, and generating questions requiring higher levels of cognition.
Harvesting paragraph-level question-answer pairs from wikipedia
Xinya Du and Claire Cardie. 2018 · 1917
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Taxonomy of educational objectives: Handbook 1: Cognitive domain
Benjamin Samuel Bloom, Max D Engelhart, Edward J Furst, Walker H Hill, and David R Krathwohl. 1984 · 1984
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Question asking during tutoring
Arthur C Graesser and Natalie K Person. 1994 · 1994
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Advances in automatic text summarization
Inderjeet Mani. 1999 · 1999
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Analyzing the effectiveness and applicability of co-training
Kamal Nigam and Rayid Ghani. 2000 · 2000
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A taxonomy for learning, teaching, and assessing: A revision of bloom’s taxonomy of educational objectives, abridged edition
Lorin W Anderson, David R Krathwohl, Peter W Airasian, Kathleen A Cruikshank, Richard E Mayer, Paul R Pintrich, James Raths, and Merlin C Wittrock. 2001 · 2001
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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Re-evaluation the role of bleu in machine translation research
Chris Callison-Burch, Miles Osborne, and Philipp Koehn. 2006 · 2006
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Experiments on generating questions about facts
Vasile Rus, Zhiqiang Cai, and Arthur C. Graesser. 2007 · 2007
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Generating look-back strategy questions from expository texts
D Gates. 2008 · 2008
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Question generation: Example of a multi-year evaluation campaign
Vasile Rus, Zhiqiang Cai, and Art Graesser. 2008 · 2008
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Generating questions automatically from informational text
Wei Chen and Jack Mostow. 2009 · 2009
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The meteor metric for automatic evaluation of machine translation
Alon Lavie and Michael J. Denkowski. 2009 · 2009
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The 2nd workshop on question generation
Vasile Rus and James C. Lester. 2009 · 2009
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Automation of question generation from sentences
Husam Ali, Yllias Chali, and Sadid A Hasan. 2010 · 2010
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Good question! statistical ranking for question generation
Michael Heilman and Noah A. Smith. 2010 · 2010
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Recent approaches to dialog management for spoken dialog systems
Cheongjae Lee, Sangkeun Jung, Kyungduk Kim, Donghyeon Lee, and Gary Geunbae Lee. 2010 · 2010
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Automatic question generation for literature review writing support
Ming Liu, Rafael A. Calvo, and Vasile Rus. 2010 · 2010
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Qgstec system description–juqgg: A rule based approach
Santanu Pal, Tapabrata Mondal, Partha Pakray, Dipankar Das, and Sivaji Bandyopadhyay. 2010 · 2010
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Overview of 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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Question generation with minimal recursion semantics
Xuchen Yao and Yi Zhang. 2010 · 2010
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Automatic factual question generation from text
Michael Heilman. 2011 · 2011
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Question generation shared task and evaluation challenge - status report
Vasile Rus, Brendan Wyse, Paul Piwek, Mihai C. Lintean, Svetlana Stoyanchev, and Cristian Moldovan. 2011 · 2011
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. 2012 · 2012
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G-asks: An intelligent automatic question generation system for academic writing support
Ming Liu, Rafael A. Calvo, and Vasile Rus. 2012 · 2012
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Question generation from concept maps
Andrew McGregor Olney, Arthur C. Graesser, and Natalie K. Person. 2012 · 2012
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A detailed account of the first question generation shared task evaluation challenge
Vasile Rus, Brendan Wyse, Paul Piwek, Mihai C. Lintean, Svetlana Stoyanchev, and Cristian Moldovan. 2012 · 2012
Cited alongside, same era.
Semantics-based question generation and implementation
Xuchen Yao, Gosse Bouma, and Yi Zhang. 2012 · 2012
Cited alongside, same era.
Translating embeddings for modeling multi-relational data
Antoine Bordes, Nicolas Usunier, Alberto García-Durán, Jason Weston, and Oksana Yakhnenko. 2013 · 2013
Cited alongside, same era.
Generating natural language questions to support learning on-line
David Lindberg, Fred Popowich, John C. Nesbit, and Philip H. Winne. 2013 · 2013
Cited alongside, same era.
Generating synthetic comparable questions for news articles
Oleg Rokhlenko and Idan Szpektor. 2013 · 2013
Cited alongside, same era.
Neural machine translation by jointly learning to align and translate
RACE: large-scale reading comprehension dataset from examinations
Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, and Eduard H. Hovy. 2017 · 2017
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A structured self-attentive sentence embedding
Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, and Yoshua Bengio. 2017 · 2017
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Question asking as program generation
Anselm Rothe, Brenden M. Lake, and Todd M. Gureckis. 2017 · 2017
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Newsqa: A machine comprehension dataset
Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, and Kaheer Suleman. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
Cited alongside, same era.
Generative adversarial nets
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, and Yoshua Bengio. 2014 · 2014
Cited alongside, same era.
Linguistic considerations in automatic question generation
Karen Mazidi and Rodney D. Nielsen. 2014 · 2014
Cited alongside, same era.
VQA: visual question answering
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, and Devi Parikh. 2015 · 2015
Cited alongside, same era.
Towards topic-to-question generation
Yllias Chali and Sadid A. Hasan. 2015 · 2015
Cited alongside, same era.
Deep questions without deep understanding
Igor Labutov, Sumit Basu, and Lucy Vanderwende. 2015 · 2015
Cited alongside, same era.
Exploring models and data for image question answering
Mengye Ren, Ryan Kiros, and Richard S. Zemel. 2015 · 2015
Cited alongside, same era.
Lantao Yu, Weinan Zhang, Jun Wang, and Yong Yu. 2017 · 2017
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Machine comprehension by text-to-text neural question generation
Xingdi Yuan, Tong Wang, Çaglar Gülçehre, Alessandro Sordoni, Philip Bachman, Saizheng Zhang, Sandeep Subramanian, and Adam Trischler. 2017 · 2017
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Automatic generation of grounded visual questions
Shijie Zhang, Lizhen Qu, Shaodi You, Zhenglu Yang, and Jiawan Zhang. 2017 · 2017
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Neural question generation from text: A preliminary study
Qingyu Zhou, Nan Yang, Furu Wei, Chuanqi Tan, Hangbo Bao, and Ming Zhou. 2017 · 2017
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Learningq: A large-scale dataset for educational question generation
Guanliang Chen, Jie Yang, Claudia Hauff, and Geert-Jan Houben. 2018 · 2018
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Generating questions for reading comprehension using coherence relations
Takshak Desai, Parag Dakle, and Dan Moldovan. 2018 · 2018
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Zero-shot question generation from knowledge graphs for unseen predicates and entity types
Hady ElSahar, Christophe Gravier, and Frédérique Laforest. 2018 · 2018
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A reinforcement learning framework for natural question generation using bi-discriminators
Zhihao Fan, Zhongyu Wei, Siyuan Wang, Yang Liu, and Xuanjing Huang. 2018 · 2018
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Ruminating reader: Reasoning with gated multi-hop attention
Yichen Gong and Samuel R. Bowman. 2018 · 2018
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Neural generation of diverse questions using answer focus, contextual and linguistic features
Vrindavan Harrison and Marilyn A. Walker. 2018 · 2018
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The narrativeqa reading comprehension challenge
Tomás Kociský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, and Edward Grefenstette. 2018 · 2018
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Towards a better metric for evaluating question generation systems
Preksha Nema and Mitesh M. Khapra. 2018 · 2018
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Self-training for jointly learning to ask and answer questions
Mrinmaya Sachan and Eric P. Xing. 2018 · 2018
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Leveraging context information for natural question generation
Linfeng Song, Zhiguo Wang, Wael Hamza, Yue Zhang, and Daniel Gildea. 2018 · 2018
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Neural models for key phrase extraction and question generation
Sandeep Subramanian, Tong Wang, Xingdi Yuan, Saizheng Zhang, Adam Trischler, and Yoshua Bengio. 2018 · 2018
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Answer-focused and position-aware neural question generation
Xingwu Sun, Jing Liu, Yajuan Lyu, Wei He, Yanjun Ma, and Shi Wang. 2018 · 2018
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Learning to collaborate for question answering and asking
Duyu Tang, Nan Duan, Zhao Yan, Zhirui Zhang, Yibo Sun, Shujie Liu, Yuanhua Lv, and Ming Zhou. 2018 · 2018
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Qg-net: a data-driven question generation model for educational content
Zichao Wang, Andrew S. Lan, Weili Nie, Andrew E. Waters, Phillip J. Grimaldi, and Richard G. Baraniuk. 2018 · 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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Improving neural question generation using answer separation
Yanghoon Kim, Hwanhee Lee, Joongbo Shin, and Kyomin Jung. 2019 · 2019
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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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