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Towards Automated Extraction of Business Constraints from Unstructured Regulatory Text

机译:从非结构化监管文本自动提取业务限制

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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 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.
机译:大型组织在审查法规方面花费相当大的资源,并确保其业务流程符合法律。为了使合规工作流程更加高效和响应,我们为机器驱动的法律文件注释提供了一个系统。一组自然语言处理管道设计,旨在解决该领域的一些关键问题:(a)这是对我相关的(新的)规则吗? (b)本法施加了哪些要求?,和(c)法律的监管意图是什么?该系统目前正在完成组织内的用户试验。

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