title: Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning
abstract: Developing artificial learning systems that can understand and generate natural language has been one of the long-standing goals of artificial intelligence. Recent decades have witnessed an impressive progress on both of these problems, giving rise to a new family of approaches. Especially, the advances in deep learning over the past couple of years have led to neural approaches to natural language generation (NLG). These methods combine generative language learning techniques with neural-networ
journal: Journal of Artificial Intelligence Research