This paper surveys the current state of the art in Natural Language Generation (NLG),
defined as the task of generating text or speech from non-linguistic input. A survey of NLG is …

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 …

The ability of children to ask curiosity-driven questions is an important skill that helps
improve their learning. For this reason, previous research has explored designing specific …

In recent years, educational data mining has emerged as a burgeoning new area for
scientific investigation. One reason for the emerging excitement about educational data …

Texts with potential educational value are becoming available through the Internet (eg,
Wikipedia, news services). However, using these new tests in classrooms introduces many …

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 propose a two-stage neural model to tackle question generation from documents. First,
our model estimates the probability that word sequences in a document are ones that a …

This paper describes a novel computer-aided procedure for generating multiple-choice test
items from electronic documents. In addition to employing various Natural Language …

Abstract Multiple Choice Questions (MCQs) are a popular assessment method because they
enable automated evaluation, flexible administration and use with huge groups. Despite …

In recent years, knowledge graphs such as Freebase that capture facts about entities and
relationships between them have been used actively for answering factoid questions. In this …