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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

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Showing 251–300 of 664 papers

TitleStatusHype
Learning Natural Language Generation with Truncated Reinforcement LearningCode0
Educational Multi-Question Generation for Reading ComprehensionCode0
Automatic True/False Question Generation for Educational Purpose—0
“What makes a question inquisitive?” A Study on Type-Controlled Inquisitive Question GenerationCode0
QA Is the New KR: Question-Answer Pairs as Knowledge Bases—0
Conditional Generation with a Question-Answering BlueprintCode0
Joint Generator-Ranker Learning for Natural Language GenerationCode1
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RLCode1
Few-shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems—0
Learning to Ask Like a PhysicianCode1
Question Generation and Answering for exploring Digital Humanities collections—0
Generating Questions from Wikidata Triples—0
Un corpus annoté pour la génération de questions et l’extraction de réponses pour l’enseignement (An annotated corpus for abstractive question generation and extractive answer for education)—0
Génération de question à partir d’analyse sémantique pour l’adaptation non supervisée de modèles de compréhension de documents (Question generation from semantic analysis for unsupervised adaptation of document understanding models)—0
Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit PostsCode1
V-Doc : Visual questions answers with Documents—0
Automatic question generation based on sentence structure analysis using machine learning approach—0
What should I Ask: A Knowledge-driven Approach for Follow-up Questions Generation in Conversational Surveys—0
A Self-Paced Mixed Distillation Method for Non-Autoregressive Generation—0
Let's Talk! Striking Up Conversations via Conversational Visual Question Generation—0
"What makes a question inquisitive?" A Study on Type-Controlled Inquisitive Question Generation—0
TiBERT: Tibetan Pre-trained Language Model—0
Near-Negative Distinction: Giving a Second Life to Human Evaluation DatasetsCode0
Learning to Answer Visual Questions from Web VideosCode1
All You May Need for VQA are Image CaptionsCode3
Quiz Design Task: Helping Teachers Create Quizzes with Automated Question GenerationCode0
CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question GenerationCode1
Unsupervised multiple-choice question generation for out-of-domain Q&A fine-tuning—0
A Taxonomy of Empathetic Questions in Social DialogsCode1
Meta-X_NLG: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation—0
Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension—0
Pseudo Ambiguous and Clarifying Questions Based on Sentence Structures Toward Clarifying Question Answering System—0
A Feasibility Study of Answer-Unaware Question Generation for EducationCode1
Towards Process-Oriented, Modular, and Versatile Question Generation that Meets Educational NeedsCode1
QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance—0
Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information RetrievalCode0
Improving Passage Retrieval with Zero-Shot Question GenerationCode1
TRUE: Re-evaluating Factual Consistency EvaluationCode4
Data Augmentation for Biomedical Factoid Question AnsweringCode0
Question Generation for Reading Comprehension Assessment by Modeling How and What to Ask—0
A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional GenerationCode0
Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-Centric SummarizationCode1
Fantastic Questions and Where to Find Them: FairytaleQA -- An Authentic Dataset for Narrative ComprehensionCode1
VLSP 2021 - ViMRC Challenge: Vietnamese Machine Reading Comprehension—0
Meta-X_NLG: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and GenerationCode0
Ask to Understand: Question Generation for Multi-hop Question Answering—0
A Feasibility Study of Answer-Agnostic Question Generation for EducationCode1
TegTok: Augmenting Text Generation via Task-specific and Open-world KnowledgeCode0
CARETS: A Consistency And Robustness Evaluative Test Suite for VQACode0
K-VQG: Knowledge-aware Visual Question Generation for Common-sense Acquisition—0
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All datasetsSQuAD1.1COCO Visual Question Answering (VQA) real images 1.0 open endedGrailQA-CompositionalGrailQA-IIDGrailQA-Zero-ShotFairytaleQAWeiboPollsNatural QuestionsSQuADTriviaQAVisual Question Generation

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ERNIE-GENLARGE (beam size=5)BLEU-425.41—Unverified
2BART (TextBox 2.0)BLEU-425.08—Unverified
3ProphetNet + ASGenBLEU-424.44—Unverified
4UniLMv2BLEU-424.43—Unverified
5ProphetNet + syn. mask + localnessBLEU-424.37—Unverified
6ProphetNetBLEU-423.91—Unverified
7UniLM + ASGenBLEU-423.7—Unverified
8UniLMBLEU-422.78—Unverified
9BERTSQGBLEU-422.17—Unverified
10Selector & NQG++BLEU-415.87—Unverified
#ModelMetricClaimedVerifiedStatus
1MDNBLEU-165.1—Unverified
2coco-Caption [[Karpathy and Li2014]]BLEU-162.5—Unverified
3Max(Yang,2015)BLEU-159.4—Unverified
4Sample(Yang,2015)BLEU-138.8—Unverified
#ModelMetricClaimedVerifiedStatus
1FactJointGTMETEOR36.21—Unverified
2JointGTMETEOR36.08—Unverified
3FactT5BMETEOR35.72—Unverified
4T5BMETEOR35.64—Unverified
#ModelMetricClaimedVerifiedStatus
1FactT5BBLEU46.1—Unverified
2JointGTBLEU45.95—Unverified
3T5BBLEU44.51—Unverified
4FactJointGTBLEU43.61—Unverified
#ModelMetricClaimedVerifiedStatus
1JointGTMETEOR37.69—Unverified
2FactJointGTMETEOR37.55—Unverified
3FactT5BMETEOR37.39—Unverified
4T5BMETEOR37.35—Unverified
#ModelMetricClaimedVerifiedStatus
1BART fine-tuned on FairytaleQAROUGE-L0.53—Unverified
2BART fine-tuned on NarrativeQA and FairytaleQAROUGE-L0.52—Unverified
3BART fine-tuned on NarrativeQAROUGE-L0.44—Unverified
#ModelMetricClaimedVerifiedStatus
1UniPollROUGE-149.6—Unverified
2T5ROUGE-144.46—Unverified
3Dual DecROUGE-138.24—Unverified
#ModelMetricClaimedVerifiedStatus
1Info-HCVAEQAE37.18—Unverified
2HCVAEQAE31.45—Unverified
#ModelMetricClaimedVerifiedStatus
1Info-HCVAEQAE71.18—Unverified
2HCVAEQAE69.46—Unverified
#ModelMetricClaimedVerifiedStatus
1Info-HCVAEQAE35.45—Unverified
2HCVAEQAE30.2—Unverified
#ModelMetricClaimedVerifiedStatus
1MDNBLEU-136—Unverified