Abstract
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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Acknowledgement
This work has been funded in part by a research grant from Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289 (INSIGHT) and by Enterprise Ireland (EI) as part of the project Financial Services Governance, Risk and Compliance Technology Centre (GRCTC), University College Cork, Ireland.
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Asooja, K., Bordea, G., Buitelaar, P. (2016). Using Semantic Frames for Automatic Annotation of Regulatory Texts. In: Métais, E., Meziane, F., Saraee, M., Sugumaran, V., Vadera, S. (eds) Natural Language Processing and Information Systems. NLDB 2016. Lecture Notes in Computer Science(), vol 9612. Springer, Cham. https://doi.org/10.1007/978-3-319-41754-7_38
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DOI: https://doi.org/10.1007/978-3-319-41754-7_38
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