@InProceedings{kern-falk-rexha:2017:SemEval,
  author    = {Kern, Roman  and  Falk, Stefan  and  Rexha, Andi},
  title     = {Know-Center at SemEval-2017 Task 10: Sequence Classification with the CODE Annotator},
  booktitle = {Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {961--964},
  abstract  = {This paper describes our participation in SemEval-2017 Task 10.
	We competed in Subtask 1 and 2 which consist respectively in identifying all
	the key phrases in scientific publications and label them with one of the three
	categories: Task, Process, and Material.
	These scientific publications are selected from Computer Science, Material
	Sciences, and Physics domains. 
	We followed a supervised approach for both subtasks by using a sequential
	classifier (CRF - Conditional Random Fields).
	For generating our solution we used a web-based application implemented in the
	EU-funded research project, named CODE.
	Our system achieved an F1 score of 0.39 for the Subtask 1 and 0.28 for the
	Subtask 2.},
  url       = {http://www.aclweb.org/anthology/S17-2167}
}