@InProceedings{pr-r-niwa:2017:SemEval,
  author    = {P R, Sarath  and  R, Manikandan  and  Niwa, Yoshiki},
  title     = {Hitachi at SemEval-2017 Task 12: System for temporal information extraction from clinical notes},
  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     = {1005--1009},
  abstract  = {This paper describes the system developed for the task of temporal information
	extraction from clinical narratives in the context of the 2017 Clinical
	TempEval challenge. Clinical TempEval 2017 addressed the problem of temporal
	reasoning in the clinical domain by providing annotated clinical notes,
	pathology and radiology reports in line with Clinical TempEval challenges
	2015/16, across two different evaluation phases focusing on cross domain
	adaptation. Our team focused on subtasks involving extractions of temporal
	spans and relations for which the developed systems showed average F-score of
	0.45 and 0.47 across the two phases of evaluations.},
  url       = {http://www.aclweb.org/anthology/S17-2176}
}