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NATURAL LANGUAGE PROCESSING FOR FINANCIAL REGULATION

Original Research (Published On: 16-Jul-2024 )
NATURAL LANGUAGE PROCESSING FOR FINANCIAL REGULATION
DOI : https://dx.doi.org/10.54364/JAIAI.2024.1102

Dragos Gorduza and Ixandra Achitouv

Adv. Artif. Intell. Mach. Learn., 1 (1):13-31

Dragos Gorduza : Oxford

Ixandra Achitouv : INSTITUT DES SYSTÈMES COMPLEXES DE PARIS I

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DOI: https://dx.doi.org/10.54364/JAIAI.2024.1102

Article History: Received on: 04-Jun-24, Accepted on: 05-Jul-24, Published on: 16-Jul-24

Corresponding Author: Dragos Gorduza

Email: dragosgorduza@gmail.com

Citation: Ixandra Achitouv, Dragos Gorduza, Antoine Jacquier (2024). NATURAL LANGUAGE PROCESSING FOR FINANCIAL REGULATION. Adv. Artif. Intell. Mach. Learn., 1 (1 ):13-31


Abstract

    

The purpose of this article is to provide an understanding of how Natural Language Processing techniques are built and apply them in the specific field of financial regulation, to perform semantic matching search between rules and policy when there is no dataset to perform a supervised learning. We outline how we can outperform simple pre-trained sentences-transformer models using freely available resources and we explain the mathematical concepts behind the key building blocks of Natural Language Processing.

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