加密资产监管的NLP:路线图

Carolina Camassa
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引用次数: 0

摘要

在快速发展的加密资产领域,白皮书是投资者指导的重要文件,现在受到欧盟加密资产市场监管(MiCAR)前所未有的内容要求的约束。自然语言处理可以作为分析这些文档和协助法规遵从性的强大工具。本文为该主题提供了两个贡献。首先,我们调查了文本分析在不受监管的加密资产白皮书中的现有应用,发现了一个可以通过跨学科合作弥合的研究空白。然后,我们对MiCAR引入的变化进行了分析,强调了将NLP整合到新的监管框架中的机遇和挑战。这些发现为进一步研究奠定了基础,有可能使监管机构、加密资产发行人和投资者受益。
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NLP for Crypto-Asset Regulation: A Roadmap
In the rapidly evolving field of crypto-assets, white papers are essential documents for investor guidance, and are now subject to unprecedented content requirements under the EU's Markets in Crypto-Assets Regulation (MiCAR). Natural Language Processing can serve as a powerful tool for both analyzing these documents and assisting in regulatory compliance. This paper delivers two contributions to the topic. First, we survey existing applications of textual analysis to unregulated crypto-asset white papers, uncovering a research gap that could be bridged with interdisciplinary collaboration. We then conduct an analysis of the changes introduced by MiCAR, highlighting the opportunities and challenges of integrating NLP within the new regulatory framework. The findings set the stage for further research, with the potential to benefit regulators, crypto-asset issuers, and investors.
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