A survey of natural language generation

C Dong, Y Li, H Gong, M Chen, J Li, Y Shen… - ACM Computing …, 2022 - dl.acm.org
This article offers a comprehensive review of the research on Natural Language Generation
(NLG) over the past two decades, especially in relation to data-to-text generation and text-to …

A systematic review of automatic question generation for educational purposes

G Kurdi, J Leo, B Parsia, U Sattler… - International Journal of …, 2020 - Springer
While exam-style questions are a fundamental educational tool serving a variety of
purposes, manual construction of questions is a complex process that requires training …

Can a suit of armor conduct electricity? a new dataset for open book question answering

T Mihaylov, P Clark, T Khot, A Sabharwal - arXiv preprint arXiv …, 2018 - arxiv.org
We present a new kind of question answering dataset, OpenBookQA, modeled after open
book exams for assessing human understanding of a subject. The open book that comes …

Automatic multiple choice question generation from text: A survey

DR Ch, SK Saha - IEEE Transactions on Learning …, 2018 - ieeexplore.ieee.org
Automatic multiple choice question (MCQ) generation from a text is a popular research area.
MCQs are widely accepted for large-scale assessment in various domains and applications …

Process knowledge-infused ai: Toward user-level explainability, interpretability, and safety

A Sheth, M Gaur, K Roy, R Venkataraman… - IEEE Internet …, 2022 - ieeexplore.ieee.org
AI has seen wide adoption for automating tasks in several domains. However, AI's use in
high-value, sensitive, or safety-critical applications such as self-management for …

A novel framework for the generation of multiple choice question stems using semantic and machine-learning techniques

AP Kumar, A Nayak, MS K, Chaitanya… - International Journal of …, 2024 - Springer
Abstract Multiple Choice Questions (MCQs) are a popular assessment method because they
enable automated evaluation, flexible administration and use with huge groups. Despite …

Generative students: Using llm-simulated student profiles to support question item evaluation

X Lu, X Wang - Proceedings of the Eleventh ACM Conference on …, 2024 - dl.acm.org
Evaluating the quality of automatically generated question items has been a long standing
challenge. In this paper, we leverage LLMs to simulate student profiles and generate …

Automatic distractor generation for multiple choice questions in standard tests

Z Qiu, X Wu, W Fan - arXiv preprint arXiv:2011.13100, 2020 - arxiv.org
To assess the knowledge proficiency of a learner, multiple choice question is an efficient
and widespread form in standard tests. However, the composition of the multiple choice …

Generating distractors for reading comprehension questions from real examinations

Y Gao, L Bing, P Li, I King, MR Lyu - … of the AAAI Conference on Artificial …, 2019 - aaai.org
We investigate the task of distractor generation for multiple choice reading comprehension
questions from examinations. In contrast to all previous works, we do not aim at preparing …

Towards process-oriented, modular, and versatile question generation that meets educational needs

X Wang, S Fan, J Houghton, L Wang - arXiv preprint arXiv:2205.00355, 2022 - arxiv.org
NLP-powered automatic question generation (QG) techniques carry great pedagogical
potential of saving educators' time and benefiting student learning. Yet, QG systems have …