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 526–550 of 664 papers

Title	Date	Tasks	Status
Extended Answer and Uncertainty Aware Neural Question Generation	Nov 19, 2019	Question GenerationQuestion-Generation	—Unverified
All It Takes is 20 Questions!: A Knowledge Graph Based Approach	Nov 12, 2019	AllQuestion Generation	CodeCode Available
Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication	Nov 11, 2019	Image CaptioningQuestion Generation	—Unverified
Question Generation from Paragraphs: A Tale of Two Hierarchical Models	Nov 8, 2019	Question GenerationQuestion-Generation	—Unverified
Ask to Learn: A Study on Curiosity-driven Question Generation	Nov 8, 2019	Conversational Question AnsweringMachine Reading Comprehension	—Unverified
Contrastive Multi-document Question Generation	Nov 8, 2019	Contrastive LearningQuestion Generation	CodeCode Available
Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds	Nov 6, 2019	DecoderLanguage Modelling	—Unverified
Review-based Question Generation with Adaptive Instance Transfer and Augmentation	Nov 5, 2019	Question GenerationQuestion-Generation	—Unverified
Video Dialog via Progressive Inference and Cross-Transformer	Nov 1, 2019	Answer GenerationQuestion Answering	—Unverified
Asking Clarification Questions in Knowledge-Based Question Answering	Nov 1, 2019	Question AnsweringQuestion Generation	—Unverified
Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation	Nov 1, 2019	Question GenerationQuestion-Generation	—Unverified
A Recurrent BERT-based Model for Question Generation	Nov 1, 2019	Language ModelingLanguage Modelling	CodeCode Available
Putting the Horse before the Cart: A Generator-Evaluator Framework for Question Generation from Text	Nov 1, 2019	Question GenerationQuestion-Generation	—Unverified
Towards Answer-unaware Conversational Question Generation	Nov 1, 2019	Question GenerationQuestion-Generation	—Unverified
Let Me Know What to Ask: Interrogative-Word-Aware Question Generation	Oct 30, 2019	Question AnsweringQuestion Generation	—Unverified
Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss	Oct 29, 2019	DecoderQuestion Generation	—Unverified
Capturing Greater Context for Question Generation	Oct 22, 2019	Question AnsweringQuestion Generation	CodeCode Available
Natural Question Generation with Reinforcement Learning Based Graph-to-Sequence Model	Oct 19, 2019	Graph Neural NetworkGraph-to-Sequence	CodeCode Available
Improving Question Generation With to the Point Context	Oct 14, 2019	Question GenerationQuestion-Generation	—Unverified
Generating Highly Relevant Questions	Oct 8, 2019	Question GenerationQuestion-Generation	—Unverified
Neural Question Generation using Interrogative Phrases	Oct 1, 2019	Question AnsweringQuestion Generation	—Unverified
BERT for Question Generation	Oct 1, 2019	Language ModelingLanguage Modelling	—Unverified
ASGen: Answer-containing Sentence Generation to Pre-Train Question Generator for Scale-up Data in Question Answering	Sep 25, 2019	Language ModelingLanguage Modelling	—Unverified
Two Birds, One Stone: A Simple, Unified Model for Text Generation from Structured and Unstructured Data	Sep 23, 2019	Question GenerationQuestion-Generation	CodeCode Available
Learning to Generate Questions with Adaptive Copying Neural Networks	Sep 17, 2019	Question GenerationQuestion-Generation	—Unverified

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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