@InProceedings{zamaraeva-howell-rhine:2018:C18-1,
  author    = {Zamaraeva, Olga  and  Howell, Kristen  and  Rhine, Adam},
  title     = {Improving Feature Extraction for Pathology Reports with Precise Negation Scope Detection},
  booktitle = {Proceedings of the 27th International Conference on Computational Linguistics},
  month     = {August},
  year      = {2018},
  address   = {Santa Fe, New Mexico, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {3564--3575},
  abstract  = {We use a broad coverage, linguistically precise English Resource Grammar (ERG) to detect negation scope in sentences taken from pathology reports. We show that incorporating this information in feature extraction has a positive effect on classification of the reports with respect to cancer laterality compared with NegEx, a commonly used tool for negation detection. We analyze the differences between NegEx and ERG results on our dataset and how these differences indicate some directions for future work.},
  url       = {http://www.aclweb.org/anthology/C18-1302}
}