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Old Age
Natural Language Processing for Financial Regulation
November 14, 2023 ยท Declared Dead ยท ๐ Social Science Research Network
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Ixandra Achitouv, Dragos Gorduza, Antoine Jacquier
arXiv ID
2311.08533
Category
cs.CL: Computation & Language
Cross-listed
cs.LG,
q-fin.CP
Citations
4
Venue
Social Science Research Network
Last Checked
5 months ago
Abstract
This article provides an understanding of Natural Language Processing techniques in the framework of financial regulation, more specifically in order to perform semantic matching search between rules and policy when no dataset is available for supervised learning. We outline how to outperform simple pre-trained sentences-transformer models using freely available resources and explain the mathematical concepts behind the key building blocks of Natural Language Processing.
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