@InProceedings{edouard-EtAl:2017:RANLP1,
  author    = {Edouard, Amosse  and  Cabrio, Elena  and  Tonelli, Sara  and  LE-THAN, Nhan},
  title     = {Building timelines of soccer matches from Twitter},
  booktitle = {Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017},
  month     = {September},
  year      = {2017},
  address   = {Varna, Bulgaria},
  publisher = {INCOMA Ltd.},
  pages     = {208--213},
  abstract  = {This demo paper presents a system that builds a timeline with salient actions
	of a soccer game, based on the tweets posted by users. It combines information
	provided by external knowledge bases to enrich the content of tweets and
	applies graph theory to model relations between actions (e.g. goals, penalties)
	and participants of a game (e.g. players, teams). In the demo, a web
	application displays in nearly real-time the actions detected from
	tweets posted by users for a given match of Euro 2016. Our tools are freely
	available at https://bitbucket.org/eamosse/event\_tracking.},
  url       = {https://doi.org/10.26615/978-954-452-049-6_029}
}