A short review of Research based Teaching and Learning content in Natural Language Generation

As investment and demand for AI technologies in particular within industry continue to rise, so will the demand for training materials, tools and know-how for building NLG systems. This paper presents a qualitative scoping exercise, which analyses academic course content for the purpose of classifying and aligning NLG teaching and learning material with corresponding research concepts in the field. The goal is to assess the overall  status of university training with respect to NLG and to what level is the course content research informed.