Question Generation

The goal of Question Generation is to generate a valid and fluent question according to a given passage and the target answer. Question Generation can be used in many scenarios, such as automatic tutoring systems, improving the performance of Question Answering models and enabling chatbots to lead a conversation.

Source: Generating Highly Relevant Questions

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 551–575 of 664 papers

Title	Date	Tasks	Status
Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering	Sep 13, 2019	ArticlesQuestion Answering	CodeCode Available
Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation	Sep 10, 2019	Common Sense ReasoningData Augmentation	—Unverified
Improving Neural Question Generation using World Knowledge	Sep 9, 2019	Question GenerationQuestion-Generation	—Unverified
Question Generation by Transformers	Sep 9, 2019	ArticlesQuestion Answering	CodeCode Available
Mixture Content Selection for Diverse Sequence Generation	Sep 4, 2019	Abstractive Text SummarizationDecoder	CodeCode Available
ParaQG: A System for Generating Questions and Answers from Paragraphs	Sep 4, 2019	Question GenerationQuestion-Generation	—Unverified
Let's Ask Again: Refine Network for Automatic Question Generation	Aug 31, 2019	DecoderQuestion Generation	CodeCode Available
Question-type Driven Question Generation	Aug 31, 2019	Question GenerationQuestion-Generation	—Unverified
Multi-Task Learning with Language Modeling for Question Generation	Aug 30, 2019	DecoderLanguage Modeling	—Unverified
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation	Aug 14, 2019	Graph Neural NetworkGraph-to-Sequence	CodeCode Available
On Understanding the Relation between Expert Annotations of Text Readability and Target Reader Comprehension	Aug 1, 2019	Question GenerationQuestion-Generation	CodeCode Available
Controlling the Specificity of Clarification Question Generation	Aug 1, 2019	Question GenerationQuestion-Generation	—Unverified
Reinforced Dynamic Reasoning for Conversational Question Generation	Jul 29, 2019	DecoderQuestion Answering	CodeCode Available
Modeling question asking using neural program generation	Jul 23, 2019	DecoderQuestion Generation	CodeCode Available
Video Question Generation via Cross-Modal Self-Attention Networks Learning	Jul 5, 2019	DiversityQuestion Answering	—Unverified
Weak Supervision Enhanced Generative Network for Question Generation	Jul 1, 2019	DecoderQuestion Answering	—Unverified
Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder	Jul 1, 2019	DecoderMachine Translation	—Unverified
Self-Attention Architectures for Answer-Agnostic Neural Question Generation	Jul 1, 2019	Question GenerationQuestion-Generation	—Unverified
Hindi Question Generation Using Dependency Structures	Jun 20, 2019	Question AnsweringQuestion Generation	—Unverified
Learning to Ask Unanswerable Questions for Machine Reading Comprehension	Jun 14, 2019	Data AugmentationMachine Reading Comprehension	—Unverified
Keeping Notes: Conditional Natural Language Generation with a Scratchpad Mechanism	Jun 12, 2019	DecoderMachine Translation	CodeCode Available
Multi-hop Reading Comprehension through Question Decomposition and Rescoring	Jun 7, 2019	Decision MakingMulti-Hop Reading Comprehension	CodeCode Available
Cross-Lingual Training for Automatic Question Generation	Jun 6, 2019	Natural Language UnderstandingQuestion Answering	CodeCode Available
Recent Advances in Neural Question Generation	May 22, 2019	Question GenerationQuestion-Generation	—Unverified
Unified Language Model Pre-training for Natural Language Understanding and Generation	May 8, 2019	Abstractive Text SummarizationDocument Summarization	CodeCode Available

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All datasets SQuAD1.1 COCO Visual Question Answering (VQA) real images 1.0 open ended GrailQA-Compositional GrailQA-IID GrailQA-Zero-Shot FairytaleQA WeiboPolls Natural Questions SQuAD TriviaQA Visual Question Generation

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ERNIE-GENLARGE (beam size=5)	BLEU-4	25.41	—	Unverified
2	BART (TextBox 2.0)	BLEU-4	25.08	—	Unverified
3	ProphetNet + ASGen	BLEU-4	24.44	—	Unverified
4	UniLMv2	BLEU-4	24.43	—	Unverified
5	ProphetNet + syn. mask + localness	BLEU-4	24.37	—	Unverified
6	ProphetNet	BLEU-4	23.91	—	Unverified
7	UniLM + ASGen	BLEU-4	23.7	—	Unverified
8	UniLM	BLEU-4	22.78	—	Unverified
9	BERTSQG	BLEU-4	22.17	—	Unverified
10	Selector & NQG++	BLEU-4	15.87	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MDN	BLEU-1	65.1	—	Unverified
2	coco-Caption [[Karpathy and Li2014]]	BLEU-1	62.5	—	Unverified
3	Max(Yang,2015)	BLEU-1	59.4	—	Unverified
4	Sample(Yang,2015)	BLEU-1	38.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FactJointGT	METEOR	36.21	—	Unverified
2	JointGT	METEOR	36.08	—	Unverified
3	FactT5B	METEOR	35.72	—	Unverified
4	T5B	METEOR	35.64	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FactT5B	BLEU	46.1	—	Unverified
2	JointGT	BLEU	45.95	—	Unverified
3	T5B	BLEU	44.51	—	Unverified
4	FactJointGT	BLEU	43.61	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	JointGT	METEOR	37.69	—	Unverified
2	FactJointGT	METEOR	37.55	—	Unverified
3	FactT5B	METEOR	37.39	—	Unverified
4	T5B	METEOR	37.35	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BART fine-tuned on FairytaleQA	ROUGE-L	0.53	—	Unverified
2	BART fine-tuned on NarrativeQA and FairytaleQA	ROUGE-L	0.52	—	Unverified
3	BART fine-tuned on NarrativeQA	ROUGE-L	0.44	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UniPoll	ROUGE-1	49.6	—	Unverified
2	T5	ROUGE-1	44.46	—	Unverified
3	Dual Dec	ROUGE-1	38.24	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Info-HCVAE	QAE	37.18	—	Unverified
2	HCVAE	QAE	31.45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Info-HCVAE	QAE	71.18	—	Unverified
2	HCVAE	QAE	69.46	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Info-HCVAE	QAE	35.45	—	Unverified
2	HCVAE	QAE	30.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MDN	BLEU-1	36	—	Unverified