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 551600 of 664 papers

TitleStatusHype
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question GenerationCode0
On Understanding the Relation between Expert Annotations of Text Readability and Target Reader ComprehensionCode0
Controlling the Specificity of Clarification Question Generation0
Reinforced Dynamic Reasoning for Conversational Question GenerationCode0
Modeling question asking using neural program generationCode0
Video Question Generation via Cross-Modal Self-Attention Networks Learning0
Self-Attention Architectures for Answer-Agnostic Neural Question Generation0
Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder0
Weak Supervision Enhanced Generative Network for Question Generation0
Hindi Question Generation Using Dependency Structures0
Interconnected Question Generation with Coreference Alignment and Conversation Flow ModelingCode1
Learning to Ask Unanswerable Questions for Machine Reading Comprehension0
Keeping Notes: Conditional Natural Language Generation with a Scratchpad MechanismCode0
Synthetic QA Corpora Generation with Roundtrip ConsistencyCode2
Multi-hop Reading Comprehension through Question Decomposition and RescoringCode0
Cross-Lingual Training for Automatic Question GenerationCode0
Recent Advances in Neural Question Generation0
Unified Language Model Pre-training for Natural Language Understanding and GenerationCode0
Question Generation using a Scratchpad Encoder0
Information Maximizing Visual Question Generation0
Evaluating Rewards for Question Generation ModelsCode0
Learning to Generate Questions by Learning What not to Generate0
Large-Scale Answerer in Questioner's Mind for Visual Dialog Question GenerationCode1
Cycle-Consistency for Robust Visual Question Answering0
Textual Entailment based Question Generation0
Evaluation methodologies in Automatic Question Generation 2013-20180
Automatic Opinion Question GenerationCode0
Uncovering Code-Mixed Challenges: A Framework for Linguistically Driven Question Generation and Neural Based Question Answering0
Multimodal Differential Network for Visual Question Generation0
Answer-focused and Position-aware Neural Question Generation0
Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention NetworksCode1
Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition0
Assumption Questioning: Latent Copying and Reward Exploitation in Question Generation0
Knowledge Based Machine Reading Comprehension0
Neural Generation of Diverse Questions using Answer Focus, Contextual and Linguistic Features0
Improving Neural Question Generation using Answer SeparationCode1
Dual Ask-Answer Network for Machine Reading ComprehensionCode0
Goal-Oriented Visual Question Generation via Intermediate Rewards0
Towards a Better Metric for Evaluating Question Generation SystemsCode0
Development and Evaluation of a Personalized Computer-aided Question Generation for English Learners to Improve Proficiency and Correct Mistakes0
Bringing personalized learning into computer-aided question generation0
Question Generation from SQL Queries Improves Neural Semantic Parsing0
Putting the Horse Before the Cart:A Generator-Evaluator Framework for Question Generation from Text0
Multimodal Differential Network for Visual Question GenerationCode0
Visual Question Generation for Class Acquisition of Unknown ObjectsCode0
Rethinking the Agreement in Human Evaluation Tasks0
NIPS Conversational Intelligence Challenge 2017 Winner System: Skill-based Conversational Agent with Supervised Dialog ManagerCode0
A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators0
Difficulty Controllable Generation of Reading Comprehension Questions0
Sequential Copying NetworksCode0
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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