On the public citation graph

Let’s Ask Again: Refine Network for Automatic Question Generation

0 signed · 91 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4615-3618-5_2openalex-snapshot

Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

inferredcites →https://doi.org/10.1007/s10590-009-9059-4openalex-snapshot

The Meteor metric for automatic evaluation of machine translation

inferredcites →https://doi.org/10.1109/cvpr.2017.131openalex-snapshot

Self-Critical Sequence Training for Image Captioning

inferredcites →https://doi.org/10.1109/cvpr.2017.575openalex-snapshot

Creativity: Generating Diverse Questions Using Variational Autoencoders

inferredcites →https://doi.org/10.1109/cvpr.2018.00640openalex-snapshot

Visual Question Generation as Dual Task of Visual Question Answering

inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot

Long Short-Term Memory

inferredcites →https://doi.org/10.1184/r1/6473390openalex-snapshot

Good Question! Statistical Ranking for Question Generation

inferredcites →https://doi.org/10.1609/aaai.v32i1.11915openalex-snapshot

Sequential Copying Networks

inferredcites →https://doi.org/10.1609/aaai.v33i01.33016602openalex-snapshot

Improving Neural Question Generation Using Answer Separation

inferredcites →https://doi.org/10.1631/fitee.1700826openalex-snapshot

From Eliza to XiaoIce: challenges and opportunities with social chatbots

inferredcites →https://doi.org/10.18653/v1/d16-1264openalex-snapshot

SQuAD: 100,000+ Questions for Machine Comprehension of Text

inferredcites →https://doi.org/10.18653/v1/d17-1219openalex-snapshot

Identifying Where to Focus in Reading Comprehension for Neural Question Generation

inferredcites →https://doi.org/10.18653/v1/d18-1259openalex-snapshot

HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

inferredcites →https://doi.org/10.18653/v1/d18-1424openalex-snapshot

Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks

inferredcites →https://doi.org/10.18653/v1/d18-1427openalex-snapshot

Answer-focused and Position-aware Neural Question Generation

inferredcites →https://doi.org/10.18653/v1/d18-1429openalex-snapshot

Towards a Better Metric for Evaluating Question Generation Systems

inferredcites →https://doi.org/10.18653/v1/e17-1036openalex-snapshot

Generating Natural Language Question-Answer Pairs from a Knowledge Graph Using a RNN Based Question Generation Model

inferredcites →https://doi.org/10.18653/v1/n19-1246openalex-snapshot

DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

inferredcites →https://doi.org/10.18653/v1/p16-1056openalex-snapshot

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus

inferredcites →https://doi.org/10.18653/v1/p17-1099openalex-snapshot

Get To The Point: Summarization with Pointer-Generator Networks

inferredcites →https://doi.org/10.18653/v1/p17-1123openalex-snapshot

Learning to Ask: Neural Question Generation for Reading Comprehension

inferredcites →https://doi.org/10.18653/v1/w17-2603openalex-snapshot

Machine Comprehension by Text-to-Text Neural Question Generation

inferredcites →https://doi.org/10.24963/ijcai.2018/632openalex-snapshot

Teaching Machines to Ask Questions

inferredcites →https://doi.org/10.3115/1073083.1073135openalex-snapshot

BLEU

inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot

Glove: Global Vectors for Word Representation

inferredcites →https://doi.org/10.3115/v1/p15-1086openalex-snapshot

Deep Questions without Deep Understanding

inferredcites →https://doi.org/10.3233/978-1-60750-028-5-465openalex-snapshot

Generating Instruction Automatically for the Reading Strategy of Self-Questioning

inferredcites →https://doi.org/10.48550/arxiv.1409.0473openalex-snapshot

Neural Machine Translation by Jointly Learning to Align and Translate

inferredcites →https://doi.org/10.48550/arxiv.1611.01603openalex-snapshot

Bidirectional Attention Flow for Machine Comprehension

inferredcites →https://doi.org/10.48550/arxiv.1704.03493openalex-snapshot

Creativity: Generating Diverse Questions using Variational Autoencoders

inferredcites →https://doi.org/10.48550/arxiv.1705.04304openalex-snapshot

A Deep Reinforced Model for Abstractive Summarization

inferredcites →https://doi.org/10.48550/arxiv.1706.09799openalex-snapshot

Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generation

inferredcites →https://doi.org/10.48550/arxiv.1709.01058openalex-snapshot

A Unified Query-based Generative Model for Question Generation and Question Answering

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4648636openalex-extracted

inferred← citeshttps://doi.org/10.1007/978-3-030-78270-2_57openalex-snapshot

Learning Association Between Learning Objectives and Key Concepts to Generate Pedagogically Valuable Questions

inferred← citeshttps://doi.org/10.1007/978-3-030-84186-7_10openalex-snapshot

Enhancing Question Generation with Commonsense Knowledge

inferred← citeshttps://doi.org/10.1007/978-3-030-85896-4_26openalex-snapshot

Difficulty-Controllable Visual Question Generation

inferred← citeshttps://doi.org/10.1007/978-3-031-46677-9_12openalex-snapshot

BRQG: A BART-Based Retouching Framework for Multi-hop Question Generation

inferred← citeshttps://doi.org/10.1007/978-981-95-7138-3_12openalex-snapshot

Bridging Dependency Enhanced Counterfactual Supporting for Multi-hop Question Generation

inferred← citeshttps://doi.org/10.1007/978-981-97-8336-6_19openalex-snapshot

An Analysis of Automatic Question Generation Research Progress and Challenges

inferred← citeshttps://doi.org/10.1007/978-981-99-0550-8_19openalex-snapshot

Automatic Question Generation

inferred← citeshttps://doi.org/10.1007/s10639-020-10356-4openalex-snapshot

Question generation model based on key-phrase, context-free grammar, and Bloom’s taxonomy

inferred← citeshttps://doi.org/10.1007/s11280-023-01202-xopenalex-snapshot

Graph convolutional network for difficulty-controllable visual question generation

inferred← citeshttps://doi.org/10.1007/s13369-023-07840-7openalex-snapshot

Automated Question and Answer Generation from Texts using Text-to-Text Transformers

inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112055openalex-snapshot

RASNet: Recurrent aggregation neural network for safe and efficient drug recommendation

inferred← citeshttps://doi.org/10.1109/bibm52615.2021.9669300openalex-snapshot

CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering

inferred← citeshttps://doi.org/10.1109/bigdata59044.2023.10386097openalex-snapshot

Graph Encoding-Enhanced Transformer for Drug Recommendation

inferred← citeshttps://doi.org/10.1109/cscwd49262.2021.9437824openalex-snapshot

CSFQGD: Chinese Sentence Fill-in-the-blank Question Generation Dataset for Examination

inferred← citeshttps://doi.org/10.1109/gcce53005.2021.9621874openalex-snapshot

Question Generation using Knowledge Graphs with the T5 Language Model and Masked Self-Attention

inferred← citeshttps://doi.org/10.1109/ialp57159.2022.9961247openalex-snapshot

Generating Questions for Abstractive Answers with a Multi-Channel Fusion Encoder-Decoder Model

inferred← citeshttps://doi.org/10.1109/ic-nidc59918.2023.10390776openalex-snapshot

Retrieve, Generate and Rerank: Simple and Effective Framework for Guided Human-Like Questions Generation

inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9414933openalex-snapshot

Paragraph Level Multi-Perspective Context Modeling for Question Generation

inferred← citeshttps://doi.org/10.1109/ieit56384.2022.9967858openalex-snapshot

Automatic Question Generation from Indonesian Texts Using Text-to-Text Transformers

inferred← citeshttps://doi.org/10.1109/itis59651.2023.10420049openalex-snapshot

Adaptation of Multilingual T5 Transformer for Indonesian Language

inferred← citeshttps://doi.org/10.1109/tlt.2024.3491801openalex-snapshot

Adaptive Question–Answer Generation With Difficulty Control Using Item Response Theory and Pretrained Transformer Models

inferred← citeshttps://doi.org/10.1109/tlt.2026.3682325openalex-snapshot

Knowledge Graph Augmented Generation for Examination Questions

inferred← citeshttps://doi.org/10.1145/3442381.3449892openalex-snapshot

Quiz-Style Question Generation for News Stories

inferred← citeshttps://doi.org/10.1145/3442381.3449975openalex-snapshot

Improving Neural Question Generation using Deep Linguistic Representation

inferred← citeshttps://doi.org/10.1145/3447548.3469403openalex-snapshot

Zero-shot Multi-lingual Interrogative Question Generation for "People Also Ask" at Bing

inferred← citeshttps://doi.org/10.1145/3468889openalex-snapshot

A Review on Question Generation from Natural Language Text

inferred← citeshttps://doi.org/10.1145/3485447.3511936openalex-snapshot

Conditional Generation Net for Medication Recommendation

inferred← citeshttps://doi.org/10.1145/3788108.3788109openalex-snapshot

CCFBQGD: Chinese Cross-Domain Fill-in-the-Blank Question Generation Dataset and Its Benchmarking Methodology

inferred← citeshttps://doi.org/10.11606/d.3.2022.tde-24052023-152815openalex-snapshot

A framework for closed domain question answering systems in the low data regime.

inferred← citeshttps://doi.org/10.1609/aaai.v35i14.17544openalex-snapshot

Entity Guided Question Generation with Contextual Structure and Sequence Information Capturing

inferred← citeshttps://doi.org/10.1609/aaai.v35i14.17553openalex-snapshot

EQG-RACE: Examination-Type Question Generation

inferred← citeshttps://doi.org/10.1609/aaai.v35i16.17678openalex-snapshot

Unanswerable Question Correction in Question Answering over Personal Knowledge Base

inferred← citeshttps://doi.org/10.17212/2782-2230-2022-1-85-98openalex-snapshot

Research of application of knowledge graphs to generate information security audit questions

inferred← citeshttps://doi.org/10.18653/v1/2020.acl-main.545openalex-snapshot

How to Ask Good Questions? Try to Leverage Paraphrases

inferred← citeshttps://doi.org/10.18653/v1/2020.coling-main.249openalex-snapshot

Reinforced Multi-task Approach for Multi-hop Question Generation

inferred← citeshttps://doi.org/10.18653/v1/2020.findings-emnlp.416openalex-snapshot

Multi-hop Question Generation with Graph Convolutional Network

inferred← citeshttps://doi.org/10.18653/v1/2020.ngt-1openalex-snapshot

Proceedings of the Fourth Workshop on Neural Generation and Translation

inferred← citeshttps://doi.org/10.18653/v1/2020.ngt-1.8openalex-snapshot

A Question Type Driven and Copy Loss Enhanced Frameworkfor Answer-Agnostic Neural Question Generation

inferred← citeshttps://doi.org/10.18653/v1/2021.acl-long.271openalex-snapshot

GTM: A Generative Triple-wise Model for Conversational Question Generation

inferred← citeshttps://doi.org/10.18653/v1/2021.acl-srwopenalex-snapshot

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop

inferred← citeshttps://doi.org/10.18653/v1/2021.acl-srw.21openalex-snapshot

Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation

inferred← citeshttps://doi.org/10.18653/v1/2021.findings-acl.164openalex-snapshot

Structured Refinement for Sequential Labeling

inferred← citeshttps://doi.org/10.18653/v1/2022.clinicalnlp-1openalex-snapshot

Proceedings of the 4th Clinical Natural Language Processing Workshop

inferred← citeshttps://doi.org/10.18653/v1/2022.clinicalnlp-1.8openalex-snapshot

Learning to Ask Like a Physician

inferred← citeshttps://doi.org/10.18653/v1/2022.emnlp-main.4openalex-snapshot

Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation

inferred← citeshttps://doi.org/10.18653/v1/2022.findings-acl.235openalex-snapshot

Synchronous Refinement for Neural Machine Translation

inferred← citeshttps://doi.org/10.18653/v1/2022.naacl-main.142openalex-snapshot

All You May Need for VQA are Image Captions

inferred← citeshttps://doi.org/10.18653/v1/2023.ijcnlp-main.17openalex-snapshot

FollowupQG: Towards information-seeking follow-up question generation

inferred← citeshttps://doi.org/10.21203/rs.3.rs-4460985/v1openalex-snapshot

COGNET-AMO: Personalized Prescription Recommendation using Attention over Medical Order Information

inferred← citeshttps://doi.org/10.26615/978-954-452-072-4_039openalex-snapshot

On Generating Fact-Infused Question Variations

inferred← citeshttps://doi.org/10.32604/cmc.2021.016517openalex-snapshot

Tibetan Question Generation Based on Sequence to Sequence Model

inferred← citeshttps://doi.org/10.32657/10356/164625openalex-snapshot

Automatic question generation from natural language texts

inferred← citeshttps://doi.org/10.3390/app13095765openalex-snapshot

Multi-Hop Question Generation with Knowledge Graph-Enhanced Language Model

inferred← citeshttps://doi.org/10.48550/arxiv.2004.03238openalex-snapshot

Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation

inferred← citeshttps://doi.org/10.48550/arxiv.2004.11026openalex-snapshot

QURIOUS: Question Generation Pretraining for Text Generation

inferred← citeshttps://doi.org/10.48550/arxiv.2106.10454openalex-snapshot

Enhancing Question Generation with Commonsense Knowledge

inferred← citeshttps://doi.org/10.51201/jusst/21/05203openalex-snapshot

Automatic Question Generation and Evaluation

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.