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 …

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" …

Question answering, serving as one of important tasks in natural language processing,
enables machines to understand questions in natural language and answer the questions …

Emerging research in Neural Question Generation (NQG) has started to integrate a larger
variety of inputs, and generating questions requiring higher levels of cognition. These trends …

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 …

Automatic question generation is an important technique that can improve the training of
question answering, help chatbots to start or continue a conversation with humans, and …

A patient portal allows discharged patients to access their personalized discharge
instructions in electronic health records (EHRs). However, many patients have difficulty …