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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 451–500 of 664 papers

TitleStatusHype
Automatic Learning Assistant in Telugu—0
Exploring Input Representation Granularity for Generating Questions Satisfying Question-Answer Congruence—0
Restatement and Question Generation for Counsellor Chatbot—0
Multi-Lingual Question Generation with Language Agnostic Language ModelCode0
On Training Instance Selection for Few-Shot Neural Text Generation—0
Incremental temporal summarization in multi-party meetings—0
Unified Questioner Transformer for Descriptive Question Generation in Goal-Oriented Visual DialogueCode0
DeltaLM: Encoder-Decoder Pre-training for Language Generation and Translation by Augmenting Pretrained Multilingual EncodersCode0
Learning to Rank Question Answer Pairs with Bilateral Contrastive Data Augmentation—0
Enhancing Question Generation with Commonsense Knowledge—0
To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs—0
How Should Agents Ask Questions For Situated Learning? An Annotated Dialogue CorpusCode0
GTM: A Generative Triple-Wise Model for Conversational Question Generation—0
Deep Learning on Graphs for Natural Language Processing—0
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting—0
Learning to Ask Appropriate Questions in Conversational Recommendation—0
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation—0
ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code GenerationCode0
Paired Examples as Indirect Supervision in Latent Decision Models—0
Expanding, Retrieving and Infilling: Diversifying Cross-Domain Question Generation with Flexible TemplatesCode0
An Automated Multiple-Choice Question Generation Using Natural Language Processing Techniques—0
Quinductor: a multilingual data-driven method for generating reading-comprehension questions using Universal DependenciesCode0
Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing—0
OneStop QAMaker: Extract Question-Answer Pairs from Text in a One-Stop Approach—0
End-to-End Video Question-Answer Generation with Generator-Pretester NetworkCode0
Learning to Generate Questions by Recovering Answer-containing Sentences—0
Ask Question with Double Hints: Visual Question Generation with Answer-awareness and Region-reference—0
Towards automatically generating Questions under Discussion to link information and discourse structure—0
Vocabulary Matters: A Simple yet Effective Approach to Paragraph-level Question Generation—0
Answer-driven Deep Question Generation based on Reinforcement Learning—0
Question and Answer pair generation for Telugu short stories—0
AGenT Zero: Zero-shot Automatic Multiple-Choice Question Generation for Skill Assessments—0
Generating Natural Questions from Images for Multimodal Assistants—0
DORB: Dynamically Optimizing Multiple Rewards with Bandits—0
Regularization of Distinct Strategies for Unsupervised Question GenerationCode0
PALM: Pre-training an Autoencoding\&Autoregressive Language Model for Context-conditioned Generation—0
Event Extraction as Machine Reading Comprehension—0
ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-trainingCode0
Diversify Question Generation with Continuous Content Selectors and Question Type Modeling—0
Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering—0
Stronger Transformers for Neural Multi-Hop Question Generation—0
AI-lead Court Debate Case Investigation—0
Better Distractions: Transformer-based Distractor Generation and Multiple Choice Question Filtering—0
Summary-Oriented Question Generation for Informational Queries—0
Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases—0
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous SpaceCode0
Answer-Driven Visual State Estimator for Goal-Oriented Visual DialogueCode0
基于Graph Transformer的知识库问题生成(Question Generation from Knowledge Base with Graph Transformer)—0
Asking Complex Questions with Multi-hop Answer-focused ReasoningCode0
Accelerating Real-Time Question Answering via Question Generation—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