@InProceedings{enger-velldal-ovrelid:2017:SemBEaR,
  author    = {Enger, Martine  and  Velldal, Erik  and  {\O}vrelid, Lilja},
  title     = {An open-source tool for negation detection: a maximum-margin approach},
  booktitle = {Proceedings of the Workshop Computational Semantics Beyond Events and Roles},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {64--69},
  abstract  = {This paper presents an open-source toolkit for negation detection. It
	identifies negation cues and their corresponding scope in either raw or parsed
	text using maximum-margin classification. The system design draws on best
	practice from the existing literature on negation detection, aiming for a
	simple and portable system that still achieves competitive performance.
	Pre-trained models and experimental results are provided for English.},
  url       = {http://www.aclweb.org/anthology/W17-1810}
}