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 …

Learning through the internet becomes popular that facilitates learners to learn anything,
anytime, anywhere from the web resources. Assessment is most important in any learning …

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 …

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 …

We investigate how machine learning models, specifically ranking models, can be used to
select useful distractors for multiple choice questions. Our proposed models can learn to …

Automatic generation of questions and evaluating their answers is a highly challenging task
in natural language processing and educational technology. This work focuses on …

Multiple choice questions (MCQs) are considered highly useful (being easy to take or mark)
but quite difficult to create and large numbers are needed to form valid exams and …

In this paper, we present an unsupervised dependency-based approach to extract semantic
relations to be applied in the context of automatic generation of multiple choice questions …

This paper reports the first study on automatic generation of distractors for fill-in-the-blank
items for learning Chinese vocabulary. We investigate the quality of distractors generated by …

Automatic question generation is one of the most challenging tasks of Natural Language
Processing. It requires “bidirectional” language processing: first, the system has to …