SOTAVerified

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

Showing 501550 of 664 papers

TitleStatusHype
Reinforced Multi-task Approach for Multi-hop Question Generation0
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-TrainingCode1
Generating Followup Questions for Interpretable Multi-hop Question Answering0
What BERT Sees: Cross-Modal Transfer for Visual Question Generation0
Asking Questions the Human Way: Scalable Question-Answer Generation from Text CorpusCode1
ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language GenerationCode1
Deep Bayesian Network for Visual Question Generation0
R2DE: a NLP approach to estimating IRT parameters of newly generated questionsCode1
ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-trainingCode1
Deep Exemplar Networks for VQA and VQG0
Easy-to-Hard: Leveraging Simple Questions for Complex Question Generation0
Improving Question Generation with Sentence-level Semantic Matching and Answer Position Inferring0
A Free Lunch in Generating Datasets: Building a VQG and VQA System with Attention and Humans in the Loop0
Extended Answer and Uncertainty Aware Neural Question Generation0
Visual Dialogue State Tracking for Question GenerationCode1
All It Takes is 20 Questions!: A Knowledge Graph Based ApproachCode0
Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication0
Contrastive Multi-document Question GenerationCode0
Question Generation from Paragraphs: A Tale of Two Hierarchical Models0
Ask to Learn: A Study on Curiosity-driven Question Generation0
Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds0
Review-based Question Generation with Adaptive Instance Transfer and Augmentation0
Putting the Horse before the Cart: A Generator-Evaluator Framework for Question Generation from Text0
Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation0
Video Dialog via Progressive Inference and Cross-Transformer0
Asking Clarification Questions in Knowledge-Based Question Answering0
Towards Answer-unaware Conversational Question Generation0
A Recurrent BERT-based Model for Question GenerationCode0
Let Me Know What to Ask: Interrogative-Word-Aware Question Generation0
Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss0
Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerCode2
Capturing Greater Context for Question GenerationCode0
Natural Question Generation with Reinforcement Learning Based Graph-to-Sequence ModelCode0
Improving Question Generation With to the Point Context0
Generating Highly Relevant Questions0
BERT for Question Generation0
Neural Question Generation using Interrogative Phrases0
ASGen: Answer-containing Sentence Generation to Pre-Train Question Generator for Scale-up Data in Question Answering0
Cross-Lingual Natural Language Generation via Pre-TrainingCode1
Two Birds, One Stone: A Simple, Unified Model for Text Generation from Structured and Unstructured DataCode0
Learning to Generate Questions with Adaptive Copying Neural Networks0
Addressing Semantic Drift in Question Generation for Semi-Supervised Question AnsweringCode0
Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation0
Question Generation by TransformersCode0
Improving Neural Question Generation using World Knowledge0
ParaQG: A System for Generating Questions and Answers from Paragraphs0
Mixture Content Selection for Diverse Sequence GenerationCode0
Let's Ask Again: Refine Network for Automatic Question GenerationCode0
Question-type Driven Question Generation0
Multi-Task Learning with Language Modeling for Question Generation0
Show:102550
← PrevPage 11 of 14Next →

Benchmark Results

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