@InProceedings{leeuwenberg-moens:2017:SemEval,
  author    = {Leeuwenberg, Artuur  and  Moens, Marie-Francine},
  title     = {KULeuven-LIIR at SemEval-2017 Task 12: Cross-Domain Temporal Information Extraction from Clinical Records},
  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     = {1030--1034},
  abstract  = {In this paper, we describe the system of the KULeuven-LIIR submission for
	Clinical TempEval 2017. We participated in all six subtasks, using a
	combination of Support Vector Machines (SVM) for event and temporal expression
	detection, and a structured perceptron for extracting temporal relations.
	Moreover, we present and analyze the results from our submissions, and verify
	the effectiveness of several system components. Our system performed above
	average for all subtasks in both phases.},
  url       = {http://www.aclweb.org/anthology/S17-2181}
}