This article offers a comprehensive review of the research on Natural Language Generation
(NLG) over the past two decades, especially in relation to data-to-text generation and text-to …

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 …

Deep learning has become the dominant approach in addressing various tasks in Natural
Language Processing (NLP). Although text inputs are typically represented as a sequence …

Asking insightful questions is crucial for acquiring knowledge and expanding our
understanding of the world. However, the importance of questioning has been largely …

Natural question generation (QG) aims to generate questions from a passage and an
answer. Previous works on QG either (i) ignore the rich structure information hidden in …

Text-based Question Generation (QG) aims at generating natural and relevant questions
that can be answered by a given answer in some context. Existing QG models suffer from a" …

In the rapidly evolving domain of artificial intelligence, chatbots have emerged as a potent
tool for various applications ranging from e-commerce to healthcare. This research delves …

The ability to ask questions is important in both human and machine intelligence. Learning
to ask questions helps knowledge acquisition, improves question-answering and machine …

This paper proposes the problem of Deep Question Generation (DQG), which aims to
generate complex questions that require reasoning over multiple pieces of information of the …

One of the most crucial challenges in question answering (QA) is the scarcity of labeled
data, since it is costly to obtain question-answer (QA) pairs for a target text domain with …