mlsanityData to 7 Oct 2026

Natural Language Processing for Financial Regulation

arXiv 2311.08533 ↗First posted 14 Nov 2023cs.CL cs.LG q-fin.CPcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 16 of its 25 references that are in the map. First posted on arXiv 14 Nov 2023.

Builds on

16 of 25 references.

References · 16

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4 more
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Cited by year

Citing papers per year: 2024: 2.

2 papers.

  1. 2024Large Language Model in Financial Regulatory Interpretationcited by 3
  2. 2024Testing network clustering algorithms with Natural Language Processingcited by 0