@InProceedings{cotik-EtAl:2016:BioTxtM2016,
  author    = {Cotik, Viviana  and  Roller, Roland  and  Xu, Feiyu  and  Uszkoreit, Hans  and  Budde, Klemens  and  Schmidt, Danilo},
  title     = {Negation Detection in Clinical Reports Written in German},
  booktitle = {Proceedings of the Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM2016)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {115--124},
  abstract  = {An important subtask in clinical text mining tries to identify whether a
	clinical finding is expressed as present, absent or unsure in a text. This work
	presents a system for detecting mentions of clinical findings that are negated
	or just speculated. The system has been applied to two different types of
	German clinical texts: clinical notes and discharge summaries. Our approach is
	built on top of NegEx, a well known algorithm for identifying non-factive
	mentions of medical findings. In this work, we adjust a previous adaptation of
	NegEx to German and evaluate the system on our data to detect negation and
	speculation. The results are compared to a baseline algorithm and are analyzed
	for both types of clinical documents. Our system achieves an F1-Score above 0.9
	on both types of reports.},
  url       = {http://aclweb.org/anthology/W16-5113}
}