Natural Language Processing for Financial Regulation

Ixandra Achitouv, Dragos Gorduza, Antoine Jacquier
11/14/2023
cs.CLcs.LGq-fin.CP

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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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Cite this paper

@article{achitouv2023natural,
  title  = {Natural Language Processing for Financial Regulation},
  author = {Ixandra Achitouv and Dragos Gorduza and Antoine Jacquier},
  year   = {2023},
  eprint = {2311.08533},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2311.08533v1}
}

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