Automatic question generation: a review of methodologies, datasets, evaluation metrics, and applications

N Mulla, P Gharpure - Progress in Artificial Intelligence, 2023 - Springer
Question generation in natural language has a wide variety of applications. It can be a
helpful tool for chatbots for generating interesting questions as also for automating the …

A review on question generation from natural language text

R Zhang, J Guo, L Chen, Y Fan, X Cheng - ACM Transactions on …, 2021 - dl.acm.org
Question generation is an important yet challenging problem in Artificial Intelligence (AI),
which aims to generate natural and relevant questions from various input formats, eg …

Just ask: Learning to answer questions from millions of narrated videos

A Yang, A Miech, J Sivic, I Laptev… - Proceedings of the …, 2021 - openaccess.thecvf.com
Recent methods for visual question answering rely on large-scale annotated datasets.
Manual annotation of questions and answers for videos, however, is tedious, expensive and …

Scanqa: 3d question answering for spatial scene understanding

D Azuma, T Miyanishi, S Kurita… - proceedings of the …, 2022 - openaccess.thecvf.com
We propose a new 3D spatial understanding task of 3D Question Answering (3D-QA). In the
3D-QA task, models receive visual information from the entire 3D scene of the rich RGB-D …

[HTML][HTML] Analysis of llms for educational question classification and generation

S Al Faraby, A Romadhony - Computers and Education: Artificial …, 2024 - Elsevier
Large language models (LLMs) like ChatGPT have shown promise in generating
educational content, including questions. This study evaluates the effectiveness of LLMs in …

Generative language models for paragraph-level question generation

A Ushio, F Alva-Manchego… - arXiv preprint arXiv …, 2022 - arxiv.org
Powerful generative models have led to recent progress in question generation (QG).
However, it is difficult to measure advances in QG research since there are no standardized …

Expert-authored and machine-generated short-answer questions for assessing students learning performance

OHT Lu, AYQ Huang, DCL Tsai, SJH Yang - Educational Technology & …, 2021 - JSTOR
Human-guided machine learning can improve computing intelligence, and it can accurately
assist humans in various tasks. In education research, artificial intelligence (AI) is applicable …

Mixqg: Neural question generation with mixed answer types

L Murakhovs' ka, CS Wu, P Laban, T Niu, W Liu… - arXiv preprint arXiv …, 2021 - arxiv.org
Asking good questions is an essential ability for both human and machine intelligence.
However, existing neural question generation approaches mainly focus on the short factoid …

Learning to answer visual questions from web videos

A Yang, A Miech, J Sivic, I Laptev, C Schmid - arXiv preprint arXiv …, 2022 - arxiv.org
Recent methods for visual question answering rely on large-scale annotated datasets.
Manual annotation of questions and answers for videos, however, is tedious, expensive and …

Educational question generation of children storybooks via question type distribution learning and event-centric summarization

Z Zhao, Y Hou, D Wang, M Yu, C Liu, X Ma - arXiv preprint arXiv …, 2022 - arxiv.org
Generating educational questions of fairytales or storybooks is vital for improving children's
literacy ability. However, it is challenging to generate questions that capture the interesting …