@InProceedings{salloum-EtAl:2017:BioNLP172,
  author    = {Salloum, Wael  and  Finley, Greg  and  Edwards, Erik  and  Miller, Mark  and  Suendermann-Oeft, David},
  title     = {Automated Preamble Detection in Dictated Medical Reports},
  booktitle = {BioNLP 2017},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada,},
  publisher = {Association for Computational Linguistics},
  pages     = {287--295},
  abstract  = {Dictated medical reports very often feature
	a preamble containing metainformation
	about the report such as patient and
	physician names, location and name of the
	clinic, date of procedure, and so on. In the
	medical transcription process, the preamble
	is usually omitted from the final report,
	as it contains information already available
	in the electronic medical record. We
	present a method which is able to automatically
	identify preambles in medical dictations.
	The method makes use of stateof-
	the-art NLP techniques including word
	embeddings and Bi-LSTMs and achieves
	preamble detection performance superior
	to humans.},
  url       = {http://www.aclweb.org/anthology/W17-2336}
}