Using Semantic Frames for Automatic Annotation of Regulatory Texts.

Lecture Notes in Computer Science(2016)

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摘要
The global legislation system is being actively updated, especially after the financial crisis of 2007-2008. This results in a significant amount of work load for the different industries, in order to cope up with the volume, velocity, variety, and complexity of the regulations in order to be compliant. So far, this is mainly being handled manually by the regulatory experts in the industries. In this paper, we explore the space of providing automatic assistance to experts in compliance verification pipeline. This work specifically focuses on performing automatic semantic annotations of the regulatory documents with a set of predefined categories. This is achieved by using text classification approaches using linguistically motivated features.
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关键词
Frame Semantics, Text Classification Approach, Compliance Verification, Anti-money Laundering (AML), Domain-specific Concepts
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