@InProceedings{roller-EtAl:2016:ClinicalNLP,
  author    = {Roller, Roland  and  Uszkoreit, Hans  and  Xu, Feiyu  and  Seiffe, Laura  and  Mikhailov, Michael  and  Staeck, Oliver  and  Budde, Klemens  and  Halleck, Fabian  and  Schmidt, Danilo},
  title     = {A fine-grained corpus annotation schema of German nephrology records},
  booktitle = {Proceedings of the Clinical Natural Language Processing Workshop (ClinicalNLP)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {69--77},
  abstract  = {In this work we present a fine-grained annotation schema to detect named
	entities in German clinical data of chronically ill patients with kidney
	diseases. The annotation schema is driven by the needs of our clinical partners
	and the linguistic aspects of German language. In order to generate annotations
	within a short period, the work also presents a semi-automatic annotation which
	uses additional sources of knowledge such as UMLS, to pre-annotate concepts in
	advance. The presented schema will be used to apply novel techniques from
	natural language processing and machine learning to support doctors treating
	their patients by improved information access from unstructured German texts.},
  url       = {http://aclweb.org/anthology/W16-4210}
}