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 …

The increasing worldwide adoption of e-learning tools and widespread increase of online
education has brought multiple challenges, including the ability of generating assessments …

Keyphrase generation (KG) aims to generate a set of keyphrases given a document, which
is a fundamental task in natural language processing (NLP). Most previous methods solve …

Machine reading comprehension (MRC) aims to teach machines to read and comprehend
human languages, which is a long-standing goal of natural language processing (NLP) …

There is a constant need for educators to develop and maintain effective up-to-date
assessments. While there is a growing body of research in computing education on utilizing …

Question Generation (QG) is an essential component of the automatic intelligent tutoring
systems, which aims to generate high-quality questions for facilitating the reading practice …

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 …

We investigate the difficulty levels of questions in reading comprehension datasets such as
SQuAD, and propose a new question generation setting, named Difficulty-controllable …

Abstract Large Language Models (LLMs) such as ChatGPT have demonstrated remarkable
performance across various tasks and have garnered significant attention from both …

Question generation (QG) is the task of generating a question from a reference sentence
and a specified answer within the sentence. A major challenge in QG is to identify answer …