Questioning has been shown to improve learning outcomes, and automatic question
generation can greatly facilitate the inclusion of questions in learning technologies such as …

Despite the growing interest in Question Generation, evaluating these systems remains
notably difficult. Many authors rely on metrics like BLEU or ROUGE instead of relying on …

Automatic generation of semantically well‐formed questions from a given text can contribute
to various domains, including education, dialogues/interactive question answering systems …

Artificial Intelligence (AI) has seen numerous applications in the area of Education. Through
the use of educational technologies such as Intelligent Tutoring Systems (ITS), learning …

Multiple choice questions (MCQs) are used ubiquitously; they are part of low stake, high
stake, paper-and-pencil as well as computerised examinations. Constructing high-quality …

Simply reading texts passively without actively engaging with their content is suboptimal for
text comprehension since learners may miss crucial concepts or misunderstand essential …

Question Generation (QG) is a task of Natural Language Processing (NLP) that aims at
automatically generating questions from text. Many applications can benefit from …

We propose a multilingual data-driven method for generating reading comprehension
questions using dependency trees. Our method provides a strong, deterministic and …

Computer-implemented systems and methods are described herein for automatically
generating questions from text. Text including one or more sentences is received. A …

We provide the first openly-available German QUestion-Answer Congruence Corpus
(QUACC), designed for the task of sentence-based question generation with question …