Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation

@article{Gatt2018SurveyOT,
  title={Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation},
  author={Albert Gatt and Emiel J. Krahmer},
  journal={ArXiv},
  year={2018},
  volume={abs/1703.09902}
}
This paper surveys the current state of the art in Natural Language Generation (NLG), defined as the task of generating text or speech from non-linguistic input. A survey of NLG is timely in view of the changes that the field has undergone over the past two decades, especially in relation to new (usually data-driven) methods, as well as new applications of NLG technology. This survey therefore aims to (a) give an up-to-date synthesis of research on the core tasks in NLG and the architectures… 

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