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 …

We propose a recurrent neural model that generates natural-language questions from
documents, conditioned on answers. We show how to train the model using a combination …

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

Natural language processing technology has made significant progress in recent years,
fuelled by increasingly powerful general language models. This has also inspired a sizeable …

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 …

This paper presents a system that automatically generates multiple, natural language
questions using relative pronouns and relative adverbs from complex English sentences …

Factoid questions are questions that require short fact-based answers. Automatic generation
(AQG) of factoid questions from a given text can contribute to educational activities …

We present a fresh approach to automatic question generation that significantly increases
the percentage of acceptable questions compared to prior state-of-the-art systems. In our …

Automatic readability assessment aims to ensure that readers read texts that they can
comprehend. However, computational models are typically trained on texts created from the …