Towards Automated Extraction of Business Constraints from Unstructured Regulatory Text
作者： Killian Levacher , Martin Stephenson , Rahul Nair
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摘要: 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 responsive, we present a system for machine-driven annotations of legal documents. A set natural language processing pipelines designed aimed at addressing some key questions this domain: (a) is (new) regulation relevant me? (b) what requirements does law impose?, (c) regulatory intent law? The currently undergoing user trials within our organization.
aclweb.org参考文章(3)
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