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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 351–400 of 664 papers

TitleStatusHype
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
V-Doc : Visual questions answers with Documents—0
Automatic question generation based on sentence structure analysis using machine learning approach—0
A Self-Paced Mixed Distillation Method for Non-Autoregressive Generation—0
What should I Ask: A Knowledge-driven Approach for Follow-up Questions Generation in Conversational Surveys—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
Quiz Design Task: Helping Teachers Create Quizzes with Automated Question GenerationCode0
Pseudo Ambiguous and Clarifying Questions Based on Sentence Structures Toward Clarifying Question Answering System—0
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
Unsupervised multiple-choice question generation for out-of-domain Q&A fine-tuning—0
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
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 Generation—0
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
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
IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages—0
On the Evaluation of Answer-Agnostic Paragraph-level Multi-Question GenerationCode0
Question Generation for Evaluating Cross-Dataset Shifts in Multi-modal Grounding—0
Unified Question Generation with Continual Lifelong Learning—0
Improving Biomedical Information Retrieval with Neural Retrievers—0
Data Augmentation for Biomedical Factoid Question Answering—0
Cooperative Self-training of Machine Reading Comprehension—0
TRUE: Re-evaluating Factual Consistency Evaluation—0
MixQG: Neural Question Generation with Mixed Answer Types—0
Meta-CQG: A Meta-Learning Framework for Complex Question Generation over Knowledge Graph—0
Consecutive Question Generation with Multitask Joint Reranking and Dynamic Rationale Search—0
JEFF - Just Another EFFicient Reading Comprehension Test Generation—0
QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization—0
All You May Need for VQA are Image Captions—0
V-Doc: Visual Questions Answers With Documents—0
An ASP-based Approach to Answering Natural Language Questions for Texts—0
Self-supervised clarification question generation for ambiguous multi-turn conversation—0
ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs—0
Question Answering Survey: Directions, Challenges, Datasets, Evaluation Matrices—0
Improving Controllability of Educational Question Generation by Keyword Provision—0
Learning to Generate Visual Questions with Noisy SupervisionCode0
Temporal Question Generation from History Text—0
Generating Usage-related Questions for Preference Elicitation in Conversational Recommender SystemsCode0
How to Build Robust FAQ Chatbot with Controllable Question Generator?—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