- How Question Generation can Help Question Answering over Knowledge Base
- Automatic Generation of Grounded Visual Questions
- Teaching Machines to Ask Questions
- Difficulty Controllable Generation of Reading Comprehension Questions
- Generating Natural Questions About an Image
- Generating Factoid QuestionsWith Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus
- Knowledge Questions from Knowledge Graphs
- Creativity: Generating Diverse Questions using Variational Autoencoders
- Machine Comprehension by Text-to-Text Neural Question Generation
- Question Asking as Program Generation
- Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog
- Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types
- Two can play this Game: Visual Dialog with Discriminative Question Generation and Answering
- Customized Image Narrative Generation via Interactive Visual Question Generation and Answering
- Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information
- Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders
- Harvesting Paragraph-Level Question-Answer Pairs from Wikipedia
- Sequential Copying Networks
- Difficulty Controllable Generation of Reading Comprehension Questions
- Putting the Horse Before the Cart: A Generator-Evaluator Framework for Question Generation from Text
- Interpretation of Natural Language Rules in Conversational Machine Reading
- Improving Neural Question Generation using Answer Separation
- Neural Generation of Diverse Questions using Answer Focus, Contextual and Linguistic Features
- Generating Distractors for Reading Comprehension Questions from Real Examinations
- Learning to Generate Questions by Learning What not to Generate
- Evaluating Rewards for Question Generation Models
- Information Maximizing Visual Question Generation
- Answer-based Adversarial Training for Generating Clarification Questions
- Unified Language Model Pre-training for Natural Language Understanding and Generation
- Recent Advances in Neural Question Generation
- Cross-Lingual Training for Automatic Question Generation
- Generating Question-Answer Hierarchies
- Synthetic QA Corpora Generation with Roundtrip Consistency
- Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling
- Weak Supervision Enhanced Generative Network for Question Generation
- Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation
- Question-type Driven Question Generation
- ParaQG: A System for Generating Questions and Answers from Paragraphs
- Mixture Content Selection for Diverse Sequence Generation
- Improving Neural Question Generation using World Knowledge
- Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering
- Cross-Lingual Natural Language Generation via Pre-Training
- Improving Question Generation With to the Point Context
- Natural Question Generation with Reinforcement Learning Based Graph-to-Sequence Model
- Capturing Greater Context for Question Generation
- Let Me Know What to Ask: Interrogative-Word-Aware Question Generation
- Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds
- Ask to Learn: A Study on Curiosity-driven Question Generation
- Interactive Classification by Asking Informative Questions
- Visual Dialogue State Tracking for Question Generation
- How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions
- Conclusion-Supplement Answer Generation for Non-Factoid Questions
- Improving Question Generation with Sentence-level Semantic Matching and Answer Position Inferring
- A Multi-language Platform for Generating Algebraic Mathematical Word Problems
- Easy-to-Hard: Leveraging Simple Questions for Complex Question Generation
- Asking Questions the HumanWay: Scalable Question-Answer Generation from Text Corpus
- Training Question Answering Models From Synthetic Data
- UNILMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training
- Reinforced Multi-task Approach for Multi-hop Question Generation
- Toward Subgraph Guided Knowledge Graph Question Generation with Graph Neural Networks
- Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation
- QURIOUS: Question Generation Pretraining for Text Generation
- Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering
- Semantic Graphs for Generating Deep Questions
- Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations
- Generating Semantically Valid Adversarial Questions for TableQA
- Towards Question-based Recommender Systems
- Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space
- Inquisitive Question Generation for High Level Text Comprehension
- Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases
- End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems
- Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations
- Stronger Transformers for Neural Multi-Hop Question Generation
- Exploring Question-Specific Rewards for Generating Deep Questions
- Learning to Ask More: Semi-Autoregressive Sequential Question Generation under Dual-Graph Interaction
- Review-based Question Generation with Adaptive Instance Transfer and Augmentation
- On the Importance of Diversity in Question Generation for QA
- How to Ask Good Questions? Try to Leverage Paraphrases
- Low-Resource Generation of Multi-hop Reasoning Questions
- ClarQ: A large-scale and diverse dataset for Clarification Question Generation
- CopyBERT: A Unified Approach to Question Generation with Self-Attention
- A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation
- Asking Clarifying Questions in Open-Domain Information-Seeking Conversations
- A New Model for Learning in Graph Domains
- Generating Questions and Multiple-Choice Answers using Semantic Analysis of Texts
- A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators
- Identifying Where to Focus in Reading Comprehension for Neural Question Generation
- Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks
- Multimodal Differential Network for Visual Question Generation
- Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss
- Let's Ask Again: Refine Network for Automatic Question Generation
- Can You Unpack That? Learning to Rewrite Questions-in-Context
- Towards Answer-unaware Conversational Question Generation
- A Recurrent BERT-based Model for Question Generation
- A Question Type Driven Framework to Diversify Visual Question Generation
- A Systematic Review of Automatic Question Generation for Educational Purposes
- Visual Question Generation as Dual Task of Visual Question Answering
- Learning to Ask: Neural Question Generation for Reading Comprehension
- Are you asking the right questions? Teaching Machines to Ask Clarification Questions
- Learning to Ask Unanswerable Questions for Machine Reading Comprehension
- Unsupervised Question Answering by Cloze Translation
- Asking the Crowd: Question Analysis, Evaluation and Generation for Open Discussion on Online Forums
- Self-Attention Architectures for Answer-Agnostic Neural Question Generation
- What Should I Ask? Using Conversationally Informative Rewards for Goal-Oriented Visual Dialogue
- Distractor Generation for Multiple Choice Questions Using Learning to Rank
- Neural Models for Key Phrase Extraction and Question Generation
- Automatic Opinion Question Generation
- PathQG: Neural Question Generation from Facts
- Generating Clarifying Questions for Information Retrieval