@article{Perera_Nand_2017, title={Recent Advances in Natural Language Generation: A Survey and Classification of the Empirical Literature}, volume={36}, url={https://www.cai.sk/ojs/index.php/cai/article/view/2017_1_1}, DOI={10.4149/cai_2017_1_1}, abstractNote={Natural Language Generation (NLG) is defined as the systematic approach for producing human understandable natural language text based on non-textual data or from meaning representations. This is a significant area which empowers human-computer interaction. It has also given rise to a variety of theoretical as well as empirical approaches. This paper intends to provide a detailed overview and a classification of the state-of-the-art approaches in Natural Language Generation. The paper explores NLG architectures and tasks classed under document planning, micro-planning and surface realization modules. Additionally, this paper also identifies the gaps existing in the NLG research which require further work in order to make NLG a widely usable technology.}, number={1}, journal={COMPUTING AND INFORMATICS}, author={Perera, Rivindu and Nand, Parma}, year={2017}, month={May}, pages={1–32} }