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 …

Question generation is an important yet challenging problem in Artificial Intelligence (AI),
which aims to generate natural and relevant questions from various input formats, eg …

Question generation in natural language has a wide variety of applications. It can be a
helpful tool for chatbots for generating interesting questions as also for automating the …

Question Generation (QG) is fundamentally a simple syntactic transformation; however,
many aspects of semantics influence what questions are good to form. We implement this …

Ontologies provide a structured representation of concepts and the relationships which
connect them. This work investigates how a pre-existing educational Biology ontology can …

We present a novel rule-based system for automatic generation of factual questions from
sentences, using semantic role labeling (SRL) as the main form of text analysis. The system …

Visual question generation (VQG) is an interesting problem that has recently received
attention. The task of VQG involves generating meaningful questions based on the input …

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

Most learners fail to develop deep text comprehension when reading textbooks passively.
Posing questions about what learners have read is a well-established way of fostering their …

In general, making evaluations requires a lot of time, especially in thinking about the
questions and answers. Therefore, research on automatic question generation is carried out …