Towards Automated Extraction of Business Constraints from Unstructured Regulatory Text

Rahul Nair, Killian Levacher, Martin Stephenson


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.
Anthology ID:
C18-2034
Volume:
Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations
Month:
August
Year:
2018
Address:
Santa Fe, New Mexico
Venue:
COLING
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
157–160
Language:
URL:
https://www.aclweb.org/anthology/C18-2034
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/C18-2034.pdf