@InProceedings{morenoschneider-EtAl:2017:NLPmJ,
  author    = {Moreno-Schneider, Julian  and  Srivastava, Ankit  and  Bourgonje, Peter  and  Wabnitz, David  and  Rehm, Georg},
  title     = {Semantic Storytelling, Cross-lingual Event Detection and other Semantic Services for a Newsroom Content Curation Dashboard},
  booktitle = {Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {68--73},
  abstract  = {We present a prototypical content curation dashboard, to be used in the
	newsroom, and several of its underlying semantic content analysis components
	(such as named entity recognition, entity linking, summarisation and temporal
	expression analysis). The idea is to enable journalists (a) to process incoming
	content (agency reports, twitter feeds, reports, blog posts, social media etc.)
	and (b) to create new articles more easily and more efficiently. The prototype
	system also allows the automatic annotation of events in incoming content for
	the purpose of supporting journalists in identifying important, relevant or
	meaningful events and also to adapt the content currently in production
	accordingly in a semi-automatic way. One of our long-term goals is to support
	journalists building up entire storylines with automatic means. In the present
	prototype they are generated in a backend service using clustering methods that
	operate on the extracted events.},
  url       = {http://www.aclweb.org/anthology/W17-4212}
}