@InProceedings{leppanen-EtAl:2017:INLG2017,
  author    = {Lepp\"{a}nen, Leo  and  Munezero, Myriam  and  Granroth-Wilding, Mark  and  Toivonen, Hannu},
  title     = {Data-Driven News Generation for Automated Journalism},
  booktitle = {Proceedings of the 10th International Conference on Natural Language Generation},
  month     = {September},
  year      = {2017},
  address   = {Santiago de Compostela, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {188--197},
  abstract  = {Despite increasing amounts of data and ever improving natural language
	generation techniques, work on automated journalism is still relatively scarce.
	In this paper, we explore the field and challenges associated with building a
	journalistic natural language generation system. We present a set of
	requirements that should guide system design, including transparency, accuracy,
	modifiability and transferability. Guided by the requirements, we present a
	data-driven architecture for automated journalism that is largely domain and
	language independent. We illustrate its practical application in the production
	of news articles about the 2017 Finnish municipal elections in three languages,
	demonstrating the successfulness of the data-driven, modular approach of the
	design. We then draw some lessons for future automated journalism.},
  url       = {http://www.aclweb.org/anthology/W17-3528}
}