The articles in this special section focus on using natural language generation techniques (NLG) and natural language processing (NLP) to build computational systems that generate reports and other kinds of text in human languages. NLG uses analytics, AI, and NLP to obtain relevant information about non-linguistic data and to generate textual summaries and explanations of these data which help people understand and benefit from them. In this regard, NLG is a research field that addresses the data-value chain by using natural language as a tool for bridging the gap between raw data and valuable information communicated to users in a comprehensible way, adapted to their information needs.
Alonso, J. M., Bugarin, A., & Reiter, E. (2017). Natural Language Generation with Computational Intelligence. IEEE Computational Intelligence Magazine, 12(3), 8-9. https://doi.org/10.1109/MCI.2017.2708919