review on natural language generation

Abstract

Natural Language Generation is a field evolved from a computational linguistic, the discipline concerned with understanding written and spoken words and building artifacts that usually process and produce language. The emphasis of NLG is on computer systems that can produce understandable texts in human languages. It is one of the fastest growing applications of Artificial Intelligence as it articulately communicates ideas from data at remarkable scale and accuracy. NLG includes variety of application areas such as Healthcare, Finance, Human Resources, Legal, Marketing, Sales, Operations, Strategy, and Supply Chain. The field of NLG has changed drastically in last few years with the emergence of successful deep learning methods. This paper focuses on deep learning techniques and methods used for Natural Language Generation by reviewing some of the recent work done in this direction, mainly in the field of healthcare. In recent times the need for automatic medical report generation has become a new challenge for the doctors and physicians, so that they could spend quality time with patients rather than investing time in preparing manual reports.