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Awesome-QG

★ 207 Open GitHub ↗

Question Generation Papers Collection.

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# Question-Generation Literature 
The automation script of this repo is powered by [Auto-Bibfile](https://github.com/wutong8023/Auto-Bibfile.git), which is a wonderful open-source tool for collecting literature. You can directly use our bibtex.bib in overleaf with this [link](https://www.overleaf.com/read/rgscdxhxbwhp).

Due to time limitation, many of the contents have not been updated, such as 'Taxonomy', and we will update it as soon as possible.

This page categorizes the literature by the **Published Venue**.

## Outline 
- [![](https://img.shields.io/badge/Taxonomy-green)](https://github.com/bisheng/Awesome-QG/blob/master/./README.md#taxonomy)
- [![](https://img.shields.io/badge/ACL-33-green)](https://github.com/bisheng/Awesome-QG/blob/master/./README.md#acl)
- [![](https://img.shields.io/badge/EMNLP-24-green)](https://github.com/bisheng/Awesome-QG/blob/master/./README.md#emnlp)
- [![](https://img.shields.io/badge/NAACL-13-green)](https://github.com/bisheng/Awesome-QG/blob/master/./README.md#naacl)
- [![](https://img.shields.io/badge/COLING-8-green)](https://github.com/bisheng/Awesome-QG/blob/master/./README.md#coling)
- [![](https://img.shields.io/badge/EACL-4-green)](https://github.com/bisheng/Awesome-QG/blob/master/./README.md#eacl)
- [![](https://img.shields.io/badge/ICLR-2-green)](https://github.com/bisheng/Awesome-QG/blob/master/./README.md#iclr)
- [![](https://img.shields.io/badge/NeurIPS-1-green)](https://github.com/bisheng/Awesome-QG/blob/master/./README.md#neurips)
- [![](https://img.shields.io/badge/SIGIR-1-green)](https://github.com/bisheng/Awesome-QG/blob/master/./README.md#sigir)
- [![](https://img.shields.io/badge/AAAI-9-green)](https://github.com/bisheng/Awesome-QG/blob/master/./README.md#aaai)
- [![](https://img.shields.io/badge/IJCAI-4-green)](https://github.com/bisheng/Awesome-QG/blob/master/./README.md#ijcai)
- [![](https://img.shields.io/badge/WWW-2-green)](https://github.com/bisheng/Awesome-QG/blob/master/./README.md#www)
- [![](https://img.shields.io/badge/CVPR-3-green)](https://github.com/bisheng/Awesome-QG/blob/master/./README.md#cvpr)
- [![](https://img.shields.io/badge/ISWC-1-green)](https://github.com/bisheng/Awesome-QG/blob/master/./README.md#iswc)
- [![](https://img.shields.io/badge/NLPCC-1-green)](https://github.com/bisheng/Awesome-QG/blob/master/./README.md#nlpcc)
- [![](https://img.shields.io/badge/ECAI-1-green)](https://github.com/bisheng/Awesome-QG/blob/master/./README.md#ecai)
- [![](https://img.shields.io/badge/SLaTE-1-green)](https://github.com/bisheng/Awesome-QG/blob/master/./README.md#slate)
- [![](https://img.shields.io/badge/ENLG-1-green)](https://github.com/bisheng/Awesome-QG/blob/master/./README.md#enlg)
- [![](https://img.shields.io/badge/TNNLS-1-green)](https://github.com/bisheng/Awesome-QG/blob/master/./README.md#tnnls)
- [![](https://img.shields.io/badge/RPTEL-1-green)](https://github.com/bisheng/Awesome-QG/blob/master/./README.md#rptel)
- [![](https://img.shields.io/badge/IJRCAR-1-green)](https://github.com/bisheng/Awesome-QG/blob/master/./README.md#ijrcar)
- [![](https://img.shields.io/badge/arXiv-8-green)](https://github.com/bisheng/Awesome-QG/blob/master/./README.md#arxiv)
## Taxonomy 
- [Summary](https://github.com/bisheng/Awesome-QG/blob/master/QG/./)
- [Application](https://github.com/bisheng/Awesome-QG/blob/master/QG/application)
- [Approach](https://github.com/bisheng/Awesome-QG/blob/master/QG/approach)
- [Author](https://github.com/bisheng/Awesome-QG/blob/master/QG/author)
- [Backbone Model](https://github.com/bisheng/Awesome-QG/blob/master/QG/backbone_model)
- [Contribution](https://github.com/bisheng/Awesome-QG/blob/master/QG/contribution)
- [Dataset](https://github.com/bisheng/Awesome-QG/blob/master/QG/dataset)
- [Metrics](https://github.com/bisheng/Awesome-QG/blob/master/QG/metrics)
- [Question Type](https://github.com/bisheng/Awesome-QG/blob/master/QG/question_type)
- [Research Questions](https://github.com/bisheng/Awesome-QG/blob/master/QG/research_question)
- [Setting](https://github.com/bisheng/Awesome-QG/blob/master/QG/setting)
- [Learning Paradigm](https://github.com/bisheng/Awesome-QG/blob/master/QG/supervision)
- [Published Time](https://github.com/bisheng/Awesome-QG/blob/master/QG/time)
- [Published Venue](https://github.com/bisheng/Awesome-QG/blob/master/QG/venue)

## ACL

- [![](https://img.shields.io/badge/ACL-2021-green)](https://doi.org/10.18653/v1/2021.acl-long.271)<a href="https://scholar.google.com.hk/scholar?q=GTM:+A+Generative+Triple-wise+Model+for+Conversational+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**GTM: A Generative Triple-wise Model for Conversational Question
Generation**](https://doi.org/10.18653/v1/2021.acl-long.271) , by *Lei Shen and
Fandong Meng and
Jinchao Zhang and
Yang Feng and
Jie Zhou* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L950-L971)

- [![](https://img.shields.io/badge/ACL-2021-green)](https://doi.org/10.18653/v1/2021.acl-long.502)<a href="https://scholar.google.com.hk/scholar?q=Controllable+Open-ended+Question+Generation+with+A+New+Question+Type+Ontology"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Controllable Open-ended Question Generation with A New Question
Type Ontology**](https://doi.org/10.18653/v1/2021.acl-long.502) , by *Shuyang Cao and
Lu Wang* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L973-L991)

- [![](https://img.shields.io/badge/ACL-2021-green)](https://doi.org/10.18653/v1/2021.acl-long.465)<a href="https://scholar.google.com.hk/scholar?q=Guiding+the+Growth:+Difficulty-Controllable+Question+Generation+through+Step-by-Step+Rewriting"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Guiding the Growth: Difficulty-Controllable Question Generation through
Step-by-Step Rewriting**](https://doi.org/10.18653/v1/2021.acl-long.465) , by *Yi Cheng and
Siyao Li and
Bang Liu and
Ruihui Zhao and
Sujian Li and
Chenghua Lin and
Yefeng Zheng* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L993-L1016)

- [![](https://img.shields.io/badge/ACL-2021-green)](https://doi.org/10.18653/v1/2021.acl-long.438)<a href="https://scholar.google.com.hk/scholar?q=Learning+to+Ask+Conversational+Questions+by+Optimizing+Levenshtein+Distance"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Learning to Ask Conversational Questions by Optimizing Levenshtein
Distance**](https://doi.org/10.18653/v1/2021.acl-long.438) , by *Zhongkun Liu and
Pengjie Ren and
Zhumin Chen and
Zhaochun Ren and
Maarten de Rijke and
Ming Zhou* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1041-L1063)

- [![](https://img.shields.io/badge/ACL-2021-green)](https://doi.org/10.18653/v1/2021.acl-short.88)<a href="https://scholar.google.com.hk/scholar?q=Question+Generation+for+Adaptive+Education"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Question Generation for Adaptive Education**](https://doi.org/10.18653/v1/2021.acl-short.88) , by *Megha Srivastava and
Noah Goodman* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1066-L1084)

- [![](https://img.shields.io/badge/ACL-2020-green)](https://doi.org/10.18653/v1/2020.acl-main.413)<a href="https://scholar.google.com.hk/scholar?q=Template-Based+Question+Generation+from+Retrieved+Sentences+for+Improved+Unsupervised+Question+Answering"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Template-Based Question Generation from Retrieved Sentences for Improved
Unsupervised Question Answering**](https://doi.org/10.18653/v1/2020.acl-main.413) , by *Alexander R. Fabbri and
Patrick Ng and
Zhiguo Wang and
Ramesh Nallapati and
Bing Xiang* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L83-L104)

- [![](https://img.shields.io/badge/ACL-2020-green)](https://doi.org/10.18653/v1/2020.acl-main.135)<a href="https://scholar.google.com.hk/scholar?q=Semantic+Graphs+for+Generating+Deep+Questions"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Semantic Graphs for Generating Deep Questions**](https://doi.org/10.18653/v1/2020.acl-main.135) , by *Liangming Pan and
Yuxi Xie and
Yansong Feng and
Tat{-}Seng Chua and
Min{-}Yen Kan* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L106-L126)

- [![](https://img.shields.io/badge/ACL-2020-green)](https://doi.org/10.18653/v1/2020.acl-main.545)<a href="https://scholar.google.com.hk/scholar?q=How+to+Ask+Good+Questions?+Try+to+Leverage+Paraphrases"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**How to Ask Good Questions? Try to Leverage Paraphrases**](https://doi.org/10.18653/v1/2020.acl-main.545) , by *Xin Jia and
Wenjie Zhou and
Xu Sun and
Yunfang Wu* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L128-L147)

- [![](https://img.shields.io/badge/ACL-2020-green)](https://doi.org/10.18653/v1/2020.acl-main.21)<a href="https://scholar.google.com.hk/scholar?q=Learning+to+Ask+More:+Semi-Autoregressive+Sequential+Question+Generation+under+Dual-Graph+Interaction"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Learning to Ask More: Semi-Autoregressive Sequential Question Generation
under Dual-Graph Interaction**](https://doi.org/10.18653/v1/2020.acl-main.21) , by *Zi Chai and
Xiaojun Wan* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L149-L167)

- [![](https://img.shields.io/badge/ACL-2020-green)](https://doi.org/10.18653/v1/2020.acl-main.601)<a href="https://scholar.google.com.hk/scholar?q=Low-Resource+Generation+of+Multi-hop+Reasoning+Questions"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Low-Resource Generation of Multi-hop Reasoning Questions**](https://doi.org/10.18653/v1/2020.acl-main.601) , by *Jianxing Yu and
Wei Liu and
Shuang Qiu and
Qinliang Su and
Kai Wang and
Xiaojun Quan and
Jian Yin* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L169-L191)

- [![](https://img.shields.io/badge/ACL-2020-green)](https://doi.org/10.18653/v1/2020.acl-main.500)<a href="https://scholar.google.com.hk/scholar?q=On+the+Importance+of+Diversity+in+Question+Generation+for+QA"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**On the Importance of Diversity in Question Generation for QA**](https://doi.org/10.18653/v1/2020.acl-main.500) , by *Md. Arafat Sultan and
Shubham Chandel and
Ram{\'{o}}n Fernandez Astudillo and
Vittorio Castelli* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L193-L212)

- [![](https://img.shields.io/badge/ACL-2020-green)](https://doi.org/10.18653/v1/2020.acl-main.26)<a href="https://scholar.google.com.hk/scholar?q=Review-based+Question+Generation+with+Adaptive+Instance+Transfer+and+Augmentation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Review-based Question Generation with Adaptive Instance Transfer and
Augmentation**](https://doi.org/10.18653/v1/2020.acl-main.26) , by *Qian Yu and
Lidong Bing and
Qiong Zhang and
Wai Lam and
Luo Si* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L214-L235)

- [![](https://img.shields.io/badge/ACL-2020-green)](https://doi.org/10.18653/v1/2020.acl-main.69)<a href="https://scholar.google.com.hk/scholar?q=Syn-QG:+Syntactic+and+Shallow+Semantic+Rules+for+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation**](https://doi.org/10.18653/v1/2020.acl-main.69) , by *Kaustubh D. Dhole and
Christopher D. Manning* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L237-L254)

- [![](https://img.shields.io/badge/ACL-2020-green)](https://doi.org/10.18653/v1/2020.acl-main.74)<a href="https://scholar.google.com.hk/scholar?q=Unsupervised+FAQ+Retrieval+with+Question+Generation+and+BERT"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Unsupervised FAQ Retrieval with Question Generation and BERT**](https://doi.org/10.18653/v1/2020.acl-main.74) , by *Yosi Mass and
Boaz Carmeli and
Haggai Roitman and
David Konopnicki* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L256-L275)

- [![](https://img.shields.io/badge/ACL-2019-green)](https://doi.org/10.18653/v1/p19-1203)<a href="https://scholar.google.com.hk/scholar?q=Reinforced+Dynamic+Reasoning+for+Conversational+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Reinforced Dynamic Reasoning for Conversational Question Generation**](https://doi.org/10.18653/v1/p19-1203) , by *Boyuan Pan and
Hao Li and
Ziyu Yao and
Deng Cai and
Huan Sun* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1086-L1105)

- [![](https://img.shields.io/badge/ACL-2019-green)](https://doi.org/10.18653/v1/p19-1480)<a href="https://scholar.google.com.hk/scholar?q=Interconnected+Question+Generation+with+Coreference+Alignment+and+Conversation+Flow+Modeling"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Interconnected Question Generation with Coreference Alignment and
Conversation Flow Modeling**](https://doi.org/10.18653/v1/p19-1480) , by *Yifan Gao and
Piji Li and
Irwin King and
Michael R. Lyu* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1107-L1126)

- [![](https://img.shields.io/badge/ACL-2019-green)](https://doi.org/10.18653/v1/p19-1604)<a href="https://scholar.google.com.hk/scholar?q=Self-Attention+Architectures+for+Answer-Agnostic+Neural+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Self-Attention Architectures for Answer-Agnostic Neural Question Generation**](https://doi.org/10.18653/v1/p19-1604) , by *Thomas Scialom and
Benjamin Piwowarski and
Jacopo Staiano* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1128-L1145)

- [![](https://img.shields.io/badge/ACL-2019-green)](https://aclanthology.org/W19-3619/)<a href="https://scholar.google.com.hk/scholar?q=Controlling+the+Specificity+of+Clarification+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Controlling the Specificity of Clarification Question Generation**](https://aclanthology.org/W19-3619/) , by *Yang Trista Cao and
Sudha Rao and
Hal Daum{\'{e}} III* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1147-L1165)

- [![](https://img.shields.io/badge/ACL-2019-green)](https://doi.org/10.18653/v1/p19-1481)<a href="https://scholar.google.com.hk/scholar?q=Cross-Lingual+Training+for+Automatic+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Cross-Lingual Training for Automatic Question Generation**](https://doi.org/10.18653/v1/p19-1481) , by *Vishwajeet Kumar and
Nitish Joshi and
Arijit Mukherjee and
Ganesh Ramakrishnan and
Preethi Jyothi* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1168-L1187)

- [![](https://img.shields.io/badge/ACL-2019-green)](https://doi.org/10.18653/v1/p19-1415)<a href="https://scholar.google.com.hk/scholar?q=Learning+to+Ask+Unanswerable+Questions+for+Machine+Reading+Comprehension"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Learning to Ask Unanswerable Questions for Machine Reading Comprehension**](https://doi.org/10.18653/v1/p19-1415) , by *Haichao Zhu and
Li Dong and
Furu Wei and
Wenhui Wang and
Bing Qin and
Ting Liu* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1211-L1231)

- [![](https://img.shields.io/badge/ACL-2019-green)](https://doi.org/10.18653/v1/p19-1497)<a href="https://scholar.google.com.hk/scholar?q=Asking+the+Crowd:+Question+Analysis,+Evaluation+and+Generation+for+Open+Discussion+on+Online+Forums"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Asking the Crowd: Question Analysis, Evaluation and Generation for
Open Discussion on Online Forums**](https://doi.org/10.18653/v1/p19-1497) , by *Zi Chai and
Xinyu Xing and
Xiaojun Wan and
Bo Huang* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1233-L1252)

- [![](https://img.shields.io/badge/ACL-2019-green)](https://doi.org/10.18653/v1/p19-1224)<a href="https://scholar.google.com.hk/scholar?q=Generating+Question-Answer+Hierarchies"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Generating Question-Answer Hierarchies**](https://doi.org/10.18653/v1/p19-1224) , by *Kalpesh Krishna and
Mohit Iyyer* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1255-L1271)

- [![](https://img.shields.io/badge/ACL-2019-green)](https://doi.org/10.18653/v1/p19-1646)<a href="https://scholar.google.com.hk/scholar?q=What+Should+I+Ask?+Using+Conversationally+Informative+Rewards+for+Goal-oriented+Visual+Dialog"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**What Should I Ask? Using Conversationally Informative Rewards for
Goal-oriented Visual Dialog**](https://doi.org/10.18653/v1/p19-1646) , by *Pushkar Shukla and
Carlos E. L. Elmadjian and
Richika Sharan and
Vivek Kulkarni and
Matthew A. Turk and
William Yang Wang* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1273-L1294)

- [![](https://img.shields.io/badge/ACL-2018-green)](https://aclanthology.org/P18-1255/)<a href="https://scholar.google.com.hk/scholar?q=Learning+to+Ask+Good+Questions:+Ranking+Clarification+Questions+using+Neural+Expected+Value+of+Perfect+Information"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Learning to Ask Good Questions: Ranking Clarification Questions using
Neural Expected Value of Perfect Information**](https://aclanthology.org/P18-1255/) , by *Sudha Rao and
Hal Daum{\'{e}} III* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L545-L561)

- [![](https://img.shields.io/badge/ACL-2018-green)](https://aclanthology.org/P18-1204/)<a href="https://scholar.google.com.hk/scholar?q=Learning+to+Ask+Questions+in+Open-domain+Conversational+Systems+with+Typed+Decoders"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Learning to Ask Questions in Open-domain Conversational Systems with
Typed Decoders**](https://aclanthology.org/P18-1204/) , by *Yansen Wang and
Chenyi Liu and
Minlie Huang and
Liqiang Nie* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L563-L581)

- [![](https://img.shields.io/badge/ACL-2018-green)](https://aclanthology.org/P18-1064/)<a href="https://scholar.google.com.hk/scholar?q=Soft+Layer-Specific+Multi-Task+Summarization+with+Entailment+and+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Soft Layer-Specific Multi-Task Summarization with Entailment and Question
Generation**](https://aclanthology.org/P18-1064/) , by *Han Guo and
Ramakanth Pasunuru and
Mohit Bansal* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L583-L600)

- [![](https://img.shields.io/badge/ACL-2018-green)](https://aclanthology.org/P18-1177/)<a href="https://scholar.google.com.hk/scholar?q=Harvesting+Paragraph-level+Question-Answer+Pairs+from+Wikipedia"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Harvesting Paragraph-level Question-Answer Pairs from Wikipedia**](https://aclanthology.org/P18-1177/) , by *Xinya Du and
Claire Cardie* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L2296-L2311)

- [![](https://img.shields.io/badge/ACL-2017-green)](https://doi.org/10.18653/v1/w17-2603)<a href="https://scholar.google.com.hk/scholar?q=Machine+Comprehension+by+Text-to-Text+Neural+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Machine Comprehension by Text-to-Text Neural Question Generation**](https://doi.org/10.18653/v1/w17-2603) , by *Xingdi Yuan and
Tong Wang and
{\c{C}}aglar G{\"{u}}l{\c{c}}ehre and
Alessandro Sordoni and
Philip Bachman and
Saizheng Zhang and
Sandeep Subramanian and
Adam Trischler* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1541-L1570)

- [![](https://img.shields.io/badge/ACL-2017-green)](https://doi.org/10.18653/v1/P17-1123)<a href="https://scholar.google.com.hk/scholar?q=Learning+to+Ask:+Neural+Question+Generation+for+Reading+Comprehension"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Learning to Ask: Neural Question Generation for Reading Comprehension**](https://doi.org/10.18653/v1/P17-1123) , by *Xinya Du and
Junru Shao and
Claire Cardie* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1873-L1889)

- [![](https://img.shields.io/badge/ACL-2016-green)](https://doi.org/10.18653/v1/p16-1056)<a href="https://scholar.google.com.hk/scholar?q=Generating+Factoid+Questions+With+Recurrent+Neural+Networks:+The+30M+Factoid+Question-Answer+Corpus"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Generating Factoid Questions With Recurrent Neural Networks: The 30M
Factoid Question-Answer Corpus**](https://doi.org/10.18653/v1/p16-1056) , by *Iulian Vlad Serban and
Alberto Garc{\'{\i}}a{-}Dur{\'{a}}n and
{\c{C}}aglar G{\"{u}}l{\c{c}}ehre and
Sungjin Ahn and
Sarath Chandar and
Aaron C. Courville and
Yoshua Bengio* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1853-L1871)

- [![](https://img.shields.io/badge/ACL-2015-green)](https://doi.org/10.3115/v1/p15-1086)<a href="https://scholar.google.com.hk/scholar?q=Deep+Questions+without+Deep+Understanding"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Deep Questions without Deep Understanding**](https://doi.org/10.3115/v1/p15-1086) , by *Igor Labutov and
Sumit Basu and
Lucy Vanderwende* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1610-L1624)

- [![](https://img.shields.io/badge/ACL-2011-green)](https://aclanthology.org/W11-1401/)<a href="https://scholar.google.com.hk/scholar?q=Automatic+Question+Generation+using+Discourse+Cues"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Automatic Question Generation using Discourse Cues**](https://aclanthology.org/W11-1401/) , by *Manish Agarwal and
Rakshit shah and
Prashanth Mannem* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1485-L1501)

- [![](https://img.shields.io/badge/ACL-2011-green)](https://aclanthology.org/W11-1407/)<a href="https://scholar.google.com.hk/scholar?q=Automatic+Gap-fill+Question+Generation+from+Text+Books"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Automatic Gap-fill Question Generation from Text Books**](https://aclanthology.org/W11-1407/) , by *Manish Agarwal and
Prashanth Mannem* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1504-L1519)

## EMNLP

- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://doi.org/10.18653/v1/2021.emnlp-main.201)<a href="https://scholar.google.com.hk/scholar?q=Iterative+GNN-based+Decoder+for+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Iterative GNN-based Decoder for Question Generation**](https://doi.org/10.18653/v1/2021.emnlp-main.201) , by *Zichu Fei and
Qi Zhang and
Yaqian Zhou* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L3119-L3137)

- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://doi.org/10.18653/v1/2021.emnlp-main.340)<a href="https://scholar.google.com.hk/scholar?q=Improving+Unsupervised+Question+Answering+via+Summarization-Informed+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Improving Unsupervised Question Answering via Summarization-Informed
Question Generation**](https://doi.org/10.18653/v1/2021.emnlp-main.340) , by *Chenyang Lyu and
Lifeng Shang and
Yvette Graham and
Jennifer Foster and
Xin Jiang and
Qun Liu* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L3139-L3161)

- [![](https://img.shields.io/badge/EMNLP-2021-green)](https://doi.org/10.18653/v1/2021.emnlp-main.44)<a href="https://scholar.google.com.hk/scholar?q=Open-domain+clarification+question+generation+without+question+examples"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Open-domain clarification question generation without question examples**](https://doi.org/10.18653/v1/2021.emnlp-main.44) , by *Julia White and
Gabriel Poesia and
Robert X. D. Hawkins and
Dorsa Sadigh and
Noah D. Goodman* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L3163-L3183)

- [![](https://img.shields.io/badge/EMNLP-2020-green)](https://doi.org/10.18653/v1/2020.emnlp-main.530)<a href="https://scholar.google.com.hk/scholar?q=Inquisitive+Question+Generation+for+High+Level+Text+Comprehension"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Inquisitive Question Generation for High Level Text Comprehension**](https://doi.org/10.18653/v1/2020.emnlp-main.530) , by *Wei{-}Jen Ko and
Te{-}Yuan Chen and
Yiyan Huang and
Greg Durrett and
Junyi Jessy Li* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L385-L405)

- [![](https://img.shields.io/badge/EMNLP-2020-green)](https://doi.org/10.18653/v1/2020.findings-emnlp.416)<a href="https://scholar.google.com.hk/scholar?q=Multi-hop+Question+Generation+with+Graph+Convolutional+Network"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Multi-hop Question Generation with Graph Convolutional Network**](https://doi.org/10.18653/v1/2020.findings-emnlp.416) , by *Dan Su and
Yan Xu and
Wenliang Dai and
Ziwei Ji and
Tiezheng Yu and
Pascale Fung* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L407-L429)

- [![](https://img.shields.io/badge/EMNLP-2020-green)](https://doi.org/10.18653/v1/2020.emnlp-main.467)<a href="https://scholar.google.com.hk/scholar?q=Tell+Me+How+to+Ask+Again:+Question+Data+Augmentation+with+Controllable+Rewriting+in+Continuous+Space"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Tell Me How to Ask Again: Question Data Augmentation with Controllable
Rewriting in Continuous Space**](https://doi.org/10.18653/v1/2020.emnlp-main.467) , by *Dayiheng Liu and
Yeyun Gong and
Jie Fu and
Yu Yan and
Jiusheng Chen and
Jiancheng Lv and
Nan Duan and
Ming Zhou* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L431-L455)

- [![](https://img.shields.io/badge/EMNLP-2020-green)](https://doi.org/10.18653/v1/2020.findings-emnlp.194)<a href="https://scholar.google.com.hk/scholar?q=Diversify+Question+Generation+with+Continuous+Content+Selectors+and+Question+Type+Modeling"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Diversify Question Generation with Continuous Content Selectors and
Question Type Modeling**](https://doi.org/10.18653/v1/2020.findings-emnlp.194) , by *Zhen Wang and
Siwei Rao and
Jie Zhang and
Zhen Qin and
Guangjian Tian and
Jun Wang* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L457-L480)

- [![](https://img.shields.io/badge/EMNLP-2020-green)](https://doi.org/10.18653/v1/2020.emnlp-main.729)<a href="https://scholar.google.com.hk/scholar?q=PathQG:+Neural+Question+Generation+from+Facts"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**PathQG: Neural Question Generation from Facts**](https://doi.org/10.18653/v1/2020.emnlp-main.729) , by *Siyuan Wang and
Zhongyu Wei and
Zhihao Fan and
Zengfeng Huang and
Weijian Sun and
Qi Zhang and
Xuanjing Huang* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L483-L505)

- [![](https://img.shields.io/badge/EMNLP-2020-green)](https://doi.org/10.18653/v1/2020.findings-emnlp.293)<a href="https://scholar.google.com.hk/scholar?q=Regularization+of+Distinct+Strategies+for+Unsupervised+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Regularization of Distinct Strategies for Unsupervised Question Generation**](https://doi.org/10.18653/v1/2020.findings-emnlp.293) , by *Junmo Kang and
Giwon Hong and
Haritz Puerto San Roman and
Sung{-}Hyon Myaeng* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L507-L527)

- [![](https://img.shields.io/badge/EMNLP-2019-green)](https://doi.org/10.18653/v1/D19-1247)<a href="https://scholar.google.com.hk/scholar?q=Generating+Questions+for+Knowledge+Bases+via+Incorporating+Diversified+Contexts+and+Answer-Aware+Loss"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Generating Questions for Knowledge Bases via Incorporating Diversified
Contexts and Answer-Aware Loss**](https://doi.org/10.18653/v1/D19-1247) , by *Cao Liu and
Kang Liu and
Shizhu He and
Zaiqing Nie and
Jun Zhao* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1018-L1039)

- [![](https://img.shields.io/badge/EMNLP-2019-green)](https://doi.org/10.18653/v1/D19-1308)<a href="https://scholar.google.com.hk/scholar?q=Mixture+Content+Selection+for+Diverse+Sequence+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Mixture Content Selection for Diverse Sequence Generation**](https://doi.org/10.18653/v1/D19-1308) , by *Jaemin Cho and
Min Joon Seo and
Hannaneh Hajishirzi* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L2013-L2031)

- [![](https://img.shields.io/badge/EMNLP-2019-green)](https://doi.org/10.18653/v1/D19-1426)<a href="https://scholar.google.com.hk/scholar?q=Learning+to+Ask+for+Conversational+Machine+Learning"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Learning to Ask for Conversational Machine Learning**](https://doi.org/10.18653/v1/D19-1426) , by *Shashank Srivastava and
Igor Labutov and
Tom M. Mitchell* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L2033-L2051)

- [![](https://img.shields.io/badge/EMNLP-2019-green)](https://doi.org/10.18653/v1/D19-1596)<a href="https://scholar.google.com.hk/scholar?q=Sunny+and+Dark+Outside?!+Improving+Answer+Consistency+in+VQA+through+Entailed+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Sunny and Dark Outside?! Improving Answer Consistency in VQA through
Entailed Question Generation**](https://doi.org/10.18653/v1/D19-1596) , by *Arijit Ray and
Karan Sikka and
Ajay Divakaran and
Stefan Lee and
Giedrius Burachas* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L2053-L2074)

- [![](https://img.shields.io/badge/EMNLP-2019-green)](https://doi.org/10.18653/v1/D19-1437)<a href="https://scholar.google.com.hk/scholar?q=FlowSeq:+Non-Autoregressive+Conditional+Sequence+Generation+with+Generative+Flow"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative
Flow**](https://doi.org/10.18653/v1/D19-1437) , by *Xuezhe Ma and
Chunting Zhou and
Xian Li and
Graham Neubig and
Eduard H. Hovy* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L2076-L2097)

- [![](https://img.shields.io/badge/EMNLP-2019-green)](https://doi.org/10.18653/v1/D19-1622)<a href="https://scholar.google.com.hk/scholar?q=Question-type+Driven+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Question-type Driven Question Generation**](https://doi.org/10.18653/v1/D19-1622) , by *Wenjie Zhou and
Minghua Zhang and
Yunfang Wu* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L2099-L2117)

- [![](https://img.shields.io/badge/EMNLP-2019-green)](https://doi.org/10.18653/v1/D19-1326)<a href="https://scholar.google.com.hk/scholar?q=Let's+Ask+Again:+Refine+Network+for+Automatic+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Let's Ask Again: Refine Network for Automatic Question Generation**](https://doi.org/10.18653/v1/D19-1326) , by *Preksha Nema and
Akash Kumar Mohankumar and
Mitesh M. Khapra and
Balaji Vasan Srinivasan and
Balaraman Ravindran* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L2119-L2139)

- [![](https://img.shields.io/badge/EMNLP-2019-green)](https://doi.org/10.18653/v1/D19-1337)<a href="https://scholar.google.com.hk/scholar?q=Multi-Task+Learning+with+Language+Modeling+for+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Multi-Task Learning with Language Modeling for Question Generation**](https://doi.org/10.18653/v1/D19-1337) , by *Wenjie Zhou and
Minghua Zhang and
Yunfang Wu* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L2099-L2117)

- [![](https://img.shields.io/badge/EMNLP-2019-green)](https://doi.org/10.18653/v1/D19-1253)<a href="https://scholar.google.com.hk/scholar?q=Addressing+Semantic+Drift+in+Question+Generation+for+Semi-Supervised+Question+Answering"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Addressing Semantic Drift in Question Generation for Semi-Supervised
Question Answering**](https://doi.org/10.18653/v1/D19-1253) , by *Shiyue Zhang and
Mohit Bansal* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L2161-L2179)

- [![](https://img.shields.io/badge/EMNLP-2019-green)](https://doi.org/10.18653/v1/D19-1317)<a href="https://scholar.google.com.hk/scholar?q=Improving+Question+Generation+With+to+the+Point+Context"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Improving Question Generation With to the Point Context**](https://doi.org/10.18653/v1/D19-1317) , by *Jingjing Li and
Yifan Gao and
Lidong Bing and
Irwin King and
Michael R. Lyu* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L2181-L2201)

- [![](https://img.shields.io/badge/EMNLP-2019-green)](https://doi.org/10.18653/v1/D19-1511)<a href="https://scholar.google.com.hk/scholar?q=Answer-guided+and+Semantic+Coherent+Question+Generation+in+Open-domain+Conversation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Answer-guided and Semantic Coherent Question Generation in Open-domain
Conversation**](https://doi.org/10.18653/v1/D19-1511) , by *Weichao Wang and
Shi Feng and
Daling Wang and
Yifei Zhang* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L2203-L2223)

- [![](https://img.shields.io/badge/EMNLP-2018-green)](https://doi.org/10.18653/v1/d18-1434)<a href="https://scholar.google.com.hk/scholar?q=Multimodal+Differential+Network+for+Visual+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Multimodal Differential Network for Visual Question Generation**](https://doi.org/10.18653/v1/d18-1434) , by *Badri Narayana Patro and
Sandeep Kumar and
Vinod Kumar Kurmi and
Vinay P. Namboodiri* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L649-L668)

- [![](https://img.shields.io/badge/EMNLP-2018-green)](https://doi.org/10.18653/v1/d18-1188)<a href="https://scholar.google.com.hk/scholar?q=Question+Generation+from+SQL+Queries+Improves+Neural+Semantic+Parsing"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Question Generation from SQL Queries Improves Neural Semantic Parsing**](https://doi.org/10.18653/v1/d18-1188) , by *Daya Guo and
Yibo Sun and
Duyu Tang and
Nan Duan and
Jian Yin and
Hong Chi and
James Cao and
Peng Chen and
Ming Zhou* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L697-L721)

- [![](https://img.shields.io/badge/EMNLP-2018-green)](https://doi.org/10.18653/v1/d18-1424)<a href="https://scholar.google.com.hk/scholar?q=Paragraph-level+Neural+Question+Generation+with+Maxout+Pointer+and+Gated+Self-attention+Networks"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Paragraph-level Neural Question Generation with Maxout Pointer and
Gated Self-attention Networks**](https://doi.org/10.18653/v1/d18-1424) , by *Yao Zhao and
Xiaochuan Ni and
Yuanyuan Ding and
Qifa Ke* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1189-L1209)

- [![](https://img.shields.io/badge/EMNLP-2017-green)](https://doi.org/10.18653/v1/d17-1219)<a href="https://scholar.google.com.hk/scholar?q=Identifying+Where+to+Focus+in+Reading+Comprehension+for+Neural+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Identifying Where to Focus in Reading Comprehension for Neural Question
Generation**](https://doi.org/10.18653/v1/d17-1219) , by *Xinya Du and
Claire Cardie* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1912-L1929)

## NAACL

- [![](https://img.shields.io/badge/NAACL-2021-green)](https://doi.org/10.18653/v1/2021.naacl-main.340)<a href="https://scholar.google.com.hk/scholar?q=Ask+what's+missing+and+what's+useful:+Improving+Clarification+Question+Generation+using+Global+Knowledge"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Ask what's missing and what's useful: Improving Clarification Question
Generation using Global Knowledge**](https://doi.org/10.18653/v1/2021.naacl-main.340) , by *Bodhisattwa Prasad Majumder and
Sudha Rao and
Michel Galley and
Julian J. McAuley* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1373-L1398)

- [![](https://img.shields.io/badge/NAACL-2021-green)](https://doi.org/10.18653/v1/2021.naacl-main.469)<a href="https://scholar.google.com.hk/scholar?q=Unsupervised+Multi-hop+Question+Answering+by+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Unsupervised Multi-hop Question Answering by Question Generation**](https://doi.org/10.18653/v1/2021.naacl-main.469) , by *Liangming Pan and
Wenhu Chen and
Wenhan Xiong and
Min{-}Yen Kan and
William Yang Wang* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1400-L1425)

- [![](https://img.shields.io/badge/NAACL-2019-green)](https://doi.org/10.18653/v1/n19-1013)<a href="https://scholar.google.com.hk/scholar?q=Answer-based+Adversarial+Training+for+Generating+Clarification+Questions"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Answer-based Adversarial Training for Generating Clarification Questions**](https://doi.org/10.18653/v1/n19-1013) , by *Sudha Rao and
Hal Daum{\'{e}} III* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1733-L1749)

- [![](https://img.shields.io/badge/NAACL-2019-green)](https://doi.org/10.18653/v1/n19-1265)<a href="https://scholar.google.com.hk/scholar?q=Beyond+task+success:+A+closer+look+at+jointly+learning+to+see,+ask,+and+GuessWhat"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Beyond task success: A closer look at jointly learning to see, ask,
and GuessWhat**](https://doi.org/10.18653/v1/n19-1265) , by *Ravi Shekhar and
Aashish Venkatesh and
Tim Baumg{\"{a}}rtner and
Elia Bruni and
Barbara Plank and
Raffaella Bernardi and
Raquel Fern{\'{a}}ndez* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1751-L1773)

- [![](https://img.shields.io/badge/NAACL-2019-green)](https://doi.org/10.18653/v1/n19-1237)<a href="https://scholar.google.com.hk/scholar?q=Evaluating+Rewards+for+Question+Generation+Models"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Evaluating Rewards for Question Generation Models**](https://doi.org/10.18653/v1/n19-1237) , by *Tom Hosking and
Sebastian Riedel* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1775-L1791)

- [![](https://img.shields.io/badge/NAACL-2018-green)](https://doi.org/10.18653/v1/n18-1020)<a href="https://scholar.google.com.hk/scholar?q=Zero-Shot+Question+Generation+from+Knowledge+Graphs+for+Unseen+Predicates+and+Entity+Types"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates
and Entity Types**](https://doi.org/10.18653/v1/n18-1020) , by *Hady ElSahar and
Christophe Gravier and
Fr{\'{e}}d{\'{e}}rique Laforest* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L761-L779)

- [![](https://img.shields.io/badge/NAACL-2018-green)](https://doi.org/10.18653/v1/w18-0530)<a href="https://scholar.google.com.hk/scholar?q=A+Semantic+Role-based+Approach+to+Open-Domain+Automatic+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**A Semantic Role-based Approach to Open-Domain Automatic Question Generation**](https://doi.org/10.18653/v1/w18-0530) , by *Michael Flor and
Brian Riordan* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L804-L822)

- [![](https://img.shields.io/badge/NAACL-2018-green)](https://doi.org/10.18653/v1/n18-1141)<a href="https://scholar.google.com.hk/scholar?q=Learning+to+Collaborate+for+Question+Answering+and+Asking"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Learning to Collaborate for Question Answering and Asking**](https://doi.org/10.18653/v1/n18-1141) , by *Duyu Tang and
Nan Duan and
Zhao Yan and
Zhirui Zhang and
Yibo Sun and
Shujie Liu and
Yuanhua Lv and
Ming Zhou* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L825-L847)

- [![](https://img.shields.io/badge/NAACL-2018-green)](https://doi.org/10.18653/v1/n18-2090)<a href="https://scholar.google.com.hk/scholar?q=Leveraging+Context+Information+for+Natural+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Leveraging Context Information for Natural Question Generation**](https://doi.org/10.18653/v1/n18-2090) , by *Linfeng Song and
Zhiguo Wang and
Wael Hamza and
Yue Zhang and
Daniel Gildea* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L849-L868)

- [![](https://img.shields.io/badge/NAACL-2018-green)](https://doi.org/10.18653/v1/n18-1058)<a href="https://scholar.google.com.hk/scholar?q=Self-Training+for+Jointly+Learning+to+Ask+and+Answer+Questions"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Self-Training for Jointly Learning to Ask and Answer Questions**](https://doi.org/10.18653/v1/n18-1058) , by *Mrinmaya Sachan and
Eric P. Xing* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L870-L886)

- [![](https://img.shields.io/badge/NAACL-2015-green)](https://doi.org/10.3115/v1/w15-0618)<a href="https://scholar.google.com.hk/scholar?q=RevUP:+Automatic+Gap-Fill+Question+Generation+from+Educational+Texts"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**RevUP: Automatic Gap-Fill Question Generation from Educational Texts**](https://doi.org/10.3115/v1/w15-0618) , by *Girish Kumar and
Rafael E. Banchs and
Luis Fernando D'Haro* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1589-L1607)

- [![](https://img.shields.io/badge/NAACL-2012-green)](https://aclanthology.org/N12-1092/)<a href="https://scholar.google.com.hk/scholar?q=Mind+the+Gap:+Learning+to+Choose+Gaps+for+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Mind the Gap: Learning to Choose Gaps for Question Generation**](https://aclanthology.org/N12-1092/) , by *Lee Becker and
Sumit Basu and
Lucy Vanderwende* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L888-L901)

- [![](https://img.shields.io/badge/NAACL-2010-green)](https://aclanthology.org/N10-1086/)<a href="https://scholar.google.com.hk/scholar?q=Good+Question!+Statistical+Ranking+for+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Good Question! Statistical Ranking for Question Generation**](https://aclanthology.org/N10-1086/) , by *Michael Heilman and
Noah A. Smith* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L903-L915)

## COLING

- [![](https://img.shields.io/badge/COLING-2020-green)](https://doi.org/10.18653/v1/2020.coling-main.250)<a href="https://scholar.google.com.hk/scholar?q=Knowledge-enriched,+Type-constrained+and+Grammar-guided+Question+Generation+over+Knowledge+Bases"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Knowledge-enriched, Type-constrained and Grammar-guided Question Generation
over Knowledge Bases**](https://doi.org/10.18653/v1/2020.coling-main.250) , by *Sheng Bi and
Xiya Cheng and
Yuan{-}Fang Li and
Yongzhen Wang and
Guilin Qi* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L277-L297)

- [![](https://img.shields.io/badge/COLING-2020-green)](https://doi.org/10.18653/v1/2020.coling-main.452)<a href="https://scholar.google.com.hk/scholar?q=Answer-driven+Deep+Question+Generation+based+on+Reinforcement+Learning"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Answer-driven Deep Question Generation based on Reinforcement Learning**](https://doi.org/10.18653/v1/2020.coling-main.452) , by *Liuyin Wang and
Zihan Xu and
Zibo Lin and
Haitao Zheng and
Ying Shen* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L299-L318)

- [![](https://img.shields.io/badge/COLING-2020-green)](https://doi.org/10.18653/v1/2020.coling-main.202)<a href="https://scholar.google.com.hk/scholar?q=Ask+to+Learn:+A+Study+on+Curiosity-driven+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Ask to Learn: A Study on Curiosity-driven Question Generation**](https://doi.org/10.18653/v1/2020.coling-main.202) , by *Thomas Scialom and
Jacopo Staiano* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L320-L336)

- [![](https://img.shields.io/badge/COLING-2020-green)](https://doi.org/10.18653/v1/2020.coling-main.249)<a href="https://scholar.google.com.hk/scholar?q=Reinforced+Multi-task+Approach+for+Multi-hop+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Reinforced Multi-task Approach for Multi-hop Question Generation**](https://doi.org/10.18653/v1/2020.coling-main.249) , by *Deepak Gupta and
Hardik Chauhan and
Ravi Tej Akella and
Asif Ekbal and
Pushpak Bhattacharyya* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L338-L357)

- [![](https://img.shields.io/badge/COLING-2018-green)](https://aclanthology.org/C18-1150/)<a href="https://scholar.google.com.hk/scholar?q=A+Reinforcement+Learning+Framework+for+Natural+Question+Generation+using+Bi-discriminators"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**A Reinforcement Learning Framework for Natural Question Generation
using Bi-discriminators**](https://aclanthology.org/C18-1150/) , by *Zhihao Fan and
Zhongyu Wei and
Siyuan Wang and
Yang Liu and
Xuanjing Huang* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L628-L647)

- [![](https://img.shields.io/badge/COLING-2012-green)](https://aclanthology.org/C12-1030/)<a href="https://scholar.google.com.hk/scholar?q=Towards+Automatic+Topical+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Towards Automatic Topical Question Generation**](https://aclanthology.org/C12-1030/) , by *Yllias Chali and
Sadid A. Hasan* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L917-L931)

- [![](https://img.shields.io/badge/COLING-2012-green)](https://aclanthology.org/C12-1143/)<a href="https://scholar.google.com.hk/scholar?q=Underspecified+Query+Refinement+via+Natural+Language+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Underspecified Query Refinement via Natural Language Question Generation**](https://aclanthology.org/C12-1143/) , by *Hassan Sajjad and
Patrick Pantel and
Michael Gamon* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L933-L948)

- [![](https://img.shields.io/badge/COLING-2012-green)](https://aclanthology.org/C12-2112/)<a href="https://scholar.google.com.hk/scholar?q=Automatic+Question+Generation+in+Multimedia-Based+Learning"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Automatic Question Generation in Multimedia-Based Learning**](https://aclanthology.org/C12-2112/) , by *Yvonne Skalban and
Le An Ha and
Lucia Specia and
Ruslan Mitkov* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L2278-L2294)

## EACL

- [![](https://img.shields.io/badge/EACL-2021-green)](https://aclanthology.org/2021.eacl-main.177/)<a href="https://scholar.google.com.hk/scholar?q=ChainCQG:+Flow-Aware+Conversational+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**ChainCQG: Flow-Aware Conversational Question Generation**](https://aclanthology.org/2021.eacl-main.177/) , by *Jing Gu and
Mostafa Mirshekari and
Zhou Yu and
Aaron Sisto* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L2329-L2346)

- [![](https://img.shields.io/badge/EACL-2021-green)](https://doi.org/10.18653/v1/2021.eacl-main.2)<a href="https://scholar.google.com.hk/scholar?q=Contrastive+Multi-document+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Contrastive Multi-document Question Generation**](https://doi.org/10.18653/v1/2021.eacl-main.2) , by *Woon Sang Cho and
Yizhe Zhang and
Sudha Rao and
Asli Celikyilmaz and
Chenyan Xiong and
Jianfeng Gao and
Mengdi Wang and
Bill Dolan* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L3051-L3073)

- [![](https://img.shields.io/badge/EACL-2021-green)](https://doi.org/10.18653/v1/2021.eacl-main.279)<a href="https://scholar.google.com.hk/scholar?q=Expanding,+Retrieving+and+Infilling:+Diversifying+Cross-Domain+Question+Generation+with+Flexible+Templates"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Expanding, Retrieving and Infilling: Diversifying Cross-Domain Question
Generation with Flexible Templates**](https://doi.org/10.18653/v1/2021.eacl-main.279) , by *Xiaojing Yu and
Anxiao Jiang* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L3075-L3092)

- [![](https://img.shields.io/badge/EACL-2017-green)](https://doi.org/10.18653/v1/e17-1036)<a href="https://scholar.google.com.hk/scholar?q=Generating+Natural+Language+Question-Answer+Pairs+from+a+Knowledge+Graph+Using+a+RNN+Based+Question+Generation+Model"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Generating Natural Language Question-Answer Pairs from a Knowledge
Graph Using a RNN Based Question Generation Model**](https://doi.org/10.18653/v1/e17-1036) , by *Sathish Reddy and
Dinesh Raghu and
Mitesh M. Khapra and
Sachindra Joshi* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1832-L1851)

## ICLR

- [![](https://img.shields.io/badge/ICLR-2020-green)](https://openreview.net/forum?id=HygnDhEtvr)<a href="https://scholar.google.com.hk/scholar?q=Reinforcement+Learning+Based+Graph-to-Sequence+Model+for+Natural+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Reinforcement Learning Based Graph-to-Sequence Model for Natural Question
Generation**](https://openreview.net/forum?id=HygnDhEtvr) , by *Yu Chen and
Lingfei Wu and
Mohammed J. Zaki* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L530-L543)

- [![](https://img.shields.io/badge/ICLR-2019-green)](https://openreview.net/forum?id=rkgT3jRct7)<a href="https://scholar.google.com.hk/scholar?q=Large-Scale+Answerer+in+Questioner's+Mind+for+Visual+Dialog+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Large-Scale Answerer in Questioner's Mind for Visual Dialog Question
Generation**](https://openreview.net/forum?id=rkgT3jRct7) , by *Sang{-}Woo Lee and
Tong Gao and
Sohee Yang and
Jaejun Yoo and
Jung{-}Woo Ha* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1963-L1978)

## NeurIPS

- [![](https://img.shields.io/badge/NeurIPS-2017-green)](https://proceedings.neurips.cc/paper/2017/hash/24681928425f5a9133504de568f5f6df-Abstract.html)<a href="https://scholar.google.com.hk/scholar?q=Question+Asking+as+Program+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Question Asking as Program Generation**](https://proceedings.neurips.cc/paper/2017/hash/24681928425f5a9133504de568f5f6df-Abstract.html) , by *Anselm Rothe and
Brenden M. Lake and
Todd M. Gureckis* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1891-L1910)

## SIGIR

- [![](https://img.shields.io/badge/SIGIR-2021-green)](https://doi.org/10.1145/3404835.3462839)<a href="https://scholar.google.com.hk/scholar?q=Learning+to+Ask+Appropriate+Questions+in+Conversational+Recommendation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Learning to Ask Appropriate Questions in Conversational Recommendation**](https://doi.org/10.1145/3404835.3462839) , by *Xuhui Ren and
Hongzhi Yin and
Tong Chen and
Hao Wang and
Zi Huang and
Kai Zheng* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1333-L1356)

## AAAI

- [![](https://img.shields.io/badge/AAAI-2021-green)](https://ojs.aaai.org/index.php/AAAI/article/view/17553)<a href="https://scholar.google.com.hk/scholar?q=EQG-RACE:+Examination-Type+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**EQG-RACE: Examination-Type Question Generation**](https://ojs.aaai.org/index.php/AAAI/article/view/17553) , by *Xin Jia and
Wenjie Zhou and
Xu Sun and
Yunfang Wu* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1296-L1310)

- [![](https://img.shields.io/badge/AAAI-2021-green)](https://ojs.aaai.org/index.php/AAAI/article/view/17544)<a href="https://scholar.google.com.hk/scholar?q=Entity+Guided+Question+Generation+with+Contextual+Structure+and+Sequence+Information+Capturing"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Entity Guided Question Generation with Contextual Structure and Sequence
Information Capturing**](https://ojs.aaai.org/index.php/AAAI/article/view/17544) , by *Qingbao Huang and
Mingyi Fu and
Linzhang Mo and
Yi Cai and
Jingyun Xu and
Pijian Li and
Qing Li and
Ho{-}fung Leung* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1312-L1331)

- [![](https://img.shields.io/badge/AAAI-2021-green)](https://ojs.aaai.org/index.php/AAAI/article/view/16559)<a href="https://scholar.google.com.hk/scholar?q=Knowledge-Driven+Distractor+Generation+for+Cloze-Style+Multiple+Choice+Questions"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Knowledge-Driven Distractor Generation for Cloze-Style Multiple Choice
Questions**](https://ojs.aaai.org/index.php/AAAI/article/view/16559) , by *Siyu Ren and
Kenny Q. Zhu* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L2313-L2327)

- [![](https://img.shields.io/badge/AAAI-2020-green)](https://aaai.org/ojs/index.php/AAAI/article/view/6440)<a href="https://scholar.google.com.hk/scholar?q=Capturing+Greater+Context+for+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Capturing Greater Context for Question Generation**](https://aaai.org/ojs/index.php/AAAI/article/view/6440) , by *Luu Anh Tuan and
Darsh J. Shah and
Regina Barzilay* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1-L14)

- [![](https://img.shields.io/badge/AAAI-2020-green)](https://aaai.org/ojs/index.php/AAAI/article/view/6366)<a href="https://scholar.google.com.hk/scholar?q=Improving+Question+Generation+with+Sentence-Level+Semantic+Matching+and+Answer+Position+Inferring"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Improving Question Generation with Sentence-Level Semantic Matching
and Answer Position Inferring**](https://aaai.org/ojs/index.php/AAAI/article/view/6366) , by *Xiyao Ma and
Qile Zhu and
Yanlin Zhou and
Xiaolin Li* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L33-L48)

- [![](https://img.shields.io/badge/AAAI-2020-green)](https://aaai.org/ojs/index.php/AAAI/article/view/6449)<a href="https://scholar.google.com.hk/scholar?q=Neural+Question+Generation+with+Answer+Pivot"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Neural Question Generation with Answer Pivot**](https://aaai.org/ojs/index.php/AAAI/article/view/6449) , by *Bingning Wang and
Xiaochuan Wang and
Ting Tao and
Qi Zhang and
Jingfang Xu* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L50-L65)

- [![](https://img.shields.io/badge/AAAI-2020-green)](https://aaai.org/ojs/index.php/AAAI/article/view/6856)<a href="https://scholar.google.com.hk/scholar?q=Visual+Dialogue+State+Tracking+for+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Visual Dialogue State Tracking for Question Generation**](https://aaai.org/ojs/index.php/AAAI/article/view/6856) , by *Wei Pang and
Xiaojie Wang* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L67-L80)

- [![](https://img.shields.io/badge/AAAI-2019-green)](https://doi.org/10.1609/aaai.v33i01.33016602)<a href="https://scholar.google.com.hk/scholar?q=Improving+Neural+Question+Generation+Using+Answer+Separation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Improving Neural Question Generation Using Answer Separation**](https://doi.org/10.1609/aaai.v33i01.33016602) , by *Yanghoon Kim and
Hwanhee Lee and
Joongbo Shin and
Kyomin Jung* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1677-L1692)

- [![](https://img.shields.io/badge/AAAI-2019-green)](https://doi.org/10.1609/aaai.v33i01.33017168)<a href="https://scholar.google.com.hk/scholar?q=A+Multi-Agent+Communication+Framework+for+Question-Worthy+Phrase+Extraction+and+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction
and Question Generation**](https://doi.org/10.1609/aaai.v33i01.33017168) , by *Siyuan Wang and
Zhongyu Wei and
Zhihao Fan and
Yang Liu and
Xuanjing Huang* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1694-L1711)

## IJCAI

- [![](https://img.shields.io/badge/IJCAI-2019-green)](https://doi.org/10.24963/ijcai.2019/690)<a href="https://scholar.google.com.hk/scholar?q=Difficulty+Controllable+Generation+of+Reading+Comprehension+Questions"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Difficulty Controllable Generation of Reading Comprehension Questions**](https://doi.org/10.24963/ijcai.2019/690) , by *Yifan Gao and
Lidong Bing and
Wang Chen and
Michael R. Lyu and
Irwin King* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1793-L1810)

- [![](https://img.shields.io/badge/IJCAI-2019-green)](https://doi.org/10.24963/ijcai.2019/528)<a href="https://scholar.google.com.hk/scholar?q=Weak+Supervision+Enhanced+Generative+Network+for+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Weak Supervision Enhanced Generative Network for Question Generation**](https://doi.org/10.24963/ijcai.2019/528) , by *Yutong Wang and
Jiyuan Zheng and
Qijiong Liu and
Zhou Zhao and
Jun Xiao and
Yueting Zhuang* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1812-L1830)

- [![](https://img.shields.io/badge/IJCAI-2018-green)](https://doi.org/10.24963/ijcai.2018/563)<a href="https://scholar.google.com.hk/scholar?q=A+Question+Type+Driven+Framework+to+Diversify+Visual+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**A Question Type Driven Framework to Diversify Visual Question Generation**](https://doi.org/10.24963/ijcai.2018/563) , by *Zhihao Fan and
Zhongyu Wei and
Piji Li and
Yanyan Lan and
Xuanjing Huang* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L723-L740)

- [![](https://img.shields.io/badge/IJCAI-2018-green)](https://doi.org/10.24963/ijcai.2018/632)<a href="https://scholar.google.com.hk/scholar?q=Teaching+Machines+to+Ask+Questions"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Teaching Machines to Ask Questions**](https://doi.org/10.24963/ijcai.2018/632) , by *Kaichun Yao and
Libo Zhang and
Tiejian Luo and
Lili Tao and
Yanjun Wu* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L742-L759)

## WWW

- [![](https://img.shields.io/badge/WWW-2021-green)](https://doi.org/10.1145/3442381.3449892)<a href="https://scholar.google.com.hk/scholar?q=Quiz-Style+Question+Generation+for+News+Stories"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Quiz-Style Question Generation for News Stories**](https://doi.org/10.1145/3442381.3449892) , by *{\'{A}}d{\'{a}}m D. Lelkes and
Vinh Q. Tran and
Cong Yu* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1427-L1447)

- [![](https://img.shields.io/badge/WWW-2021-green)](https://doi.org/10.1145/3442381.3449876)<a href="https://scholar.google.com.hk/scholar?q=Diverse+and+Specific+Clarification+Question+Generation+with+Keywords"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Diverse and Specific Clarification Question Generation with Keywords**](https://doi.org/10.1145/3442381.3449876) , by *Zhiling Zhang and
Kenny Q. Zhu* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L2464-L2482)

## CVPR

- [![](https://img.shields.io/badge/CVPR-2019-green)](http://openaccess.thecvf.com/content\_CVPR\_2019/html/Abbasnejad\_Whats\_to\_Know\_Uncertainty\_as\_a\_Guide\_to\_Asking\_Goal-Oriented\_CVPR\_2019\_paper.html)<a href="https://scholar.google.com.hk/scholar?q=What's+to+Know?+Uncertainty+as+a+Guide+to+Asking+Goal-Oriented+Questions"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions**](http://openaccess.thecvf.com/content\_CVPR\_2019/html/Abbasnejad\_Whats\_to\_Know\_Uncertainty\_as\_a\_Guide\_to\_Asking\_Goal-Oriented\_CVPR\_2019\_paper.html) , by *Ehsan Abbasnejad and
Qi Wu and
Qinfeng Shi and
Anton van den Hengel* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1980-L1995)

- [![](https://img.shields.io/badge/CVPR-2019-green)](http://openaccess.thecvf.com/content\_CVPR\_2019/html/Krishna\_Information\_Maximizing\_Visual\_Question\_Generation\_CVPR\_2019\_paper.html)<a href="https://scholar.google.com.hk/scholar?q=Information+Maximizing+Visual+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Information Maximizing Visual Question Generation**](http://openaccess.thecvf.com/content\_CVPR\_2019/html/Krishna\_Information\_Maximizing\_Visual\_Question\_Generation\_CVPR\_2019\_paper.html) , by *Ranjay Krishna and
Michael Bernstein and
Li Fei{-}Fei* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1997-L2011)

- [![](https://img.shields.io/badge/CVPR-2017-green)](https://doi.org/10.1109/CVPR.2017.575)<a href="https://scholar.google.com.hk/scholar?q=Creativity:+Generating+Diverse+Questions+Using+Variational+Autoencoders"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Creativity: Generating Diverse Questions Using Variational Autoencoders**](https://doi.org/10.1109/CVPR.2017.575) , by *Unnat Jain and
Ziyu Zhang and
Alexander G. Schwing* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1643-L1657)

## ISWC

- [![](https://img.shields.io/badge/ISWC-2019-green)](https://doi.org/10.1007/978-3-030-30793-6\_22)<a href="https://scholar.google.com.hk/scholar?q=Difficulty-Controllable+Multi-hop+Question+Generation+from+Knowledge+Graphs"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Difficulty-Controllable Multi-hop Question Generation from Knowledge
Graphs**](https://doi.org/10.1007/978-3-030-30793-6\_22) , by *Vishwajeet Kumar and
Yuncheng Hua and
Ganesh Ramakrishnan and
Guilin Qi and
Lianli Gao and
Yuan{-}Fang Li* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1932-L1961)

## NLPCC

- [![](https://img.shields.io/badge/NLPCC-2018-green)](https://doi.org/10.1007/978-3-319-99495-6\_12)<a href="https://scholar.google.com.hk/scholar?q=A+Neural+Question+Generation+System+Based+on+Knowledge+Base"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**A Neural Question Generation System Based on Knowledge Base**](https://doi.org/10.1007/978-3-319-99495-6\_12) , by *Hao Wang and
Xiaodong Zhang and
Houfeng Wang* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L781-L802)

## ECAI

- [![](https://img.shields.io/badge/ECAI-2020-green)](https://doi.org/10.3233/FAIA200330)<a href="https://scholar.google.com.hk/scholar?q=Semantics-Reinforced+Networks+for+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Semantics-Reinforced Networks for Question Generation**](https://doi.org/10.3233/FAIA200330) , by *Zhuang Liu and
Kaiyu Huang and
Degen Huang and
Jun Zhao* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L359-L383)

## SLaTE

- [![](https://img.shields.io/badge/SLaTE-2009-green)](http://www.isca-speech.org/archive/slate\_2009/sla9\_057.html)<a href="https://scholar.google.com.hk/scholar?q=Automatic+question+generation+and+answer+judging:+a+q\&a+game+for+language+learning"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Automatic question generation and answer judging: a q\&a game
for language learning**](http://www.isca-speech.org/archive/slate\_2009/sla9\_057.html) , by *Yushi Xu and
Anna Goldie and
Stephanie Seneff* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1468-L1482)

## ENLG

- [![](https://img.shields.io/badge/ENLG-2013-green)](https://aclanthology.org/W13-2114/)<a href="https://scholar.google.com.hk/scholar?q=Generating+Natural+Language+Questions+to+Support+Learning+On-Line"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Generating Natural Language Questions to Support Learning On-Line**](https://aclanthology.org/W13-2114/) , by *David Lindberg and
Fred Popowich and
John C. Nesbit and
Philip H. Winne* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1522-L1538)

## TNNLS

- [![](https://img.shields.io/badge/IEEE_Trans._Neural_Networks_Learn._Syst.-2021-green)](https://doi.org/10.1109/TNNLS.2020.2986029)<a href="https://scholar.google.com.hk/scholar?q=Radial+Graph+Convolutional+Network+for+Visual+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Radial Graph Convolutional Network for Visual Question Generation**](https://doi.org/10.1109/TNNLS.2020.2986029) , by *Xing Xu and
Tan Wang and
Yang Yang and
Alan Hanjalic and
Heng Tao Shen* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L2689-L2706)

## RPTEL

- [![](https://img.shields.io/badge/RPTEL-2021-green)](https://doi.org/10.1186/s41039-021-00151-1)<a href="https://scholar.google.com.hk/scholar?q=Automatic+Question+Generation+and+Answer+Assessment:+A+Survey"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Automatic Question Generation and Answer Assessment: A Survey**](https://doi.org/10.1186/s41039-021-00151-1) , by *Bidyut Das and
Mukta Majumder and
Santanu Phadikar and
Arif Ahmed Sekh* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1449-L1466)

## IJRCAR

- [![](https://img.shields.io/badge/IJRCAR-2020-green)](https://link.springer.com/article/10.1007/s40593-019-00186-y)<a href="https://scholar.google.com.hk/scholar?q=A+systematic+review+of+automatic+question+generation+for+educational+purposes"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**A systematic review of automatic question generation for educational purposes**](https://link.springer.com/article/10.1007/s40593-019-00186-y) , by *Kurdi, Ghader, Leo, Jared, Parsia, Bijan, Sattler, Uli and Al-Emari, Salam* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L2348-L2359)

## arXiv

- [![](https://img.shields.io/badge/CoRR-2021-green)](https://arxiv.org/abs/2105.10023)<a href="https://scholar.google.com.hk/scholar?q=ASQ:+Automatically+Generating+Question-Answer+Pairs+using+AMRs"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**ASQ: Automatically Generating Question-Answer Pairs using AMRs**](https://arxiv.org/abs/2105.10023) , by *Geetanjali Rakshit and
Jeffrey Flanigan* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1358-L1371)

- [![](https://img.shields.io/badge/CoRR-2021-green)](https://arxiv.org/abs/2106.15550)<a href="https://scholar.google.com.hk/scholar?q=Unified+Questioner+Transformer+for+Descriptive+Question+Generation+in+Goal-Oriented+Visual+Dialogue"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Unified Questioner Transformer for Descriptive Question Generation
in Goal-Oriented Visual Dialogue**](https://arxiv.org/abs/2106.15550) , by *Shoya Matsumori and
Kosuke Shingyouchi and
Yuki Abe and
Yosuke Fukuchi and
Komei Sugiura and
Michita Imai* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L2434-L2452)

- [![](https://img.shields.io/badge/CoRR-2020-green)](https://arxiv.org/abs/2004.06015)<a href="https://scholar.google.com.hk/scholar?q=Toward+Subgraph+Guided+Knowledge+Graph+Question+Generation+with+Graph+Neural+Networks"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Toward Subgraph Guided Knowledge Graph Question Generation with Graph
Neural Networks**](https://arxiv.org/abs/2004.06015) , by *Yu Chen and
Lingfei Wu and
Mohammed J. Zaki* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L16-L31)

- [![](https://img.shields.io/badge/CoRR-2019-green)](http://arxiv.org/abs/1905.08949)<a href="https://scholar.google.com.hk/scholar?q=Recent+Advances+in+Neural+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Recent Advances in Neural Question Generation**](http://arxiv.org/abs/1905.08949) , by *Liangming Pan and
Wenqiang Lei and
Tat{-}Seng Chua and
Min{-}Yen Kan* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1659-L1675)

- [![](https://img.shields.io/badge/CoRR-2019-green)](http://arxiv.org/abs/1902.10418)<a href="https://scholar.google.com.hk/scholar?q=Learning+to+Generate+Questions+by+Learning+What+not+to+Generate"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Learning to Generate Questions by Learning What not to Generate**](http://arxiv.org/abs/1902.10418) , by *Bang Liu and
Mingjun Zhao and
Di Niu and
Kunfeng Lai and
Yancheng He and
Haojie Wei and
Yu Xu* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1713-L1731)

- [![](https://img.shields.io/badge/CoRR-2017-green)](http://arxiv.org/abs/1706.01450)<a href="https://scholar.google.com.hk/scholar?q=A+Joint+Model+for+Question+Answering+and+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**A Joint Model for Question Answering and Question Generation**](http://arxiv.org/abs/1706.01450) , by *Tong Wang and
Xingdi Yuan and
Adam Trischler* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1573-L1587)

- [![](https://img.shields.io/badge/CoRR-2017-green)](http://arxiv.org/abs/1706.02027)<a href="https://scholar.google.com.hk/scholar?q=Question+Answering+and+Question+Generation+as+Dual+Tasks"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**Question Answering and Question Generation as Dual Tasks**](http://arxiv.org/abs/1706.02027) , by *Duyu Tang and
Nan Duan and
Tao Qin and
Ming Zhou* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L1626-L1641)

- [![](https://img.shields.io/badge/CoRR-2017-green)](http://arxiv.org/abs/1712.09827)<a href="https://scholar.google.com.hk/scholar?q=A+Syntactic+Approach+to+Domain-Specific+Automatic+Question+Generation"><img src="https://img.shields.io/badge/-green.svg?&logo=google-scholar&logoColor=white" height="18" align="bottom"></a> [**A Syntactic Approach to Domain-Specific Automatic Question Generation**](http://arxiv.org/abs/1712.09827) , by *Guy Danon and
Mark Last* [[bib]](https://github.com/bisheng/Awesome-QG/blob/master/bibtex.bib#L2263-L2276)

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