@InProceedings{nair-levacher-stephenson:2018:C18-2,
  author    = {Nair, Rahul  and  Levacher, Killian  and  Stephenson, Martin},
  title     = {Towards Automated Extraction of Business Constraints from Unstructured Regulatory Text},
  booktitle = {Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations},
  month     = {August},
  year      = {2018},
  address   = {Santa Fe, New Mexico},
  publisher = {Association for Computational Linguistics},
  pages     = {157--160},
  abstract  = {Large organizations spend considerable resources in reviewing regulations and ensuring that their business processes are compliant with the law. To make compliance workflows more efficient and responsive, we present a system for machine-driven annotations of legal documents. A set of natural language processing pipelines are designed and aimed at addressing some key questions in this domain: (a) is this (new) regulation relevant for me? (b) what set of requirements does this law impose?, and (c) what is the regulatory intent of a law? The system is currently undergoing user trials within our organization.},
  url       = {http://www.aclweb.org/anthology/C18-2034}
}