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    <titleInfo>
        <title>Legal NLP Meets MiCAR: Advancing the Analysis of Crypto White Papers</title>
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    <name type="personal">
        <namePart type="given">Carolina</namePart>
        <namePart type="family">Camassa</namePart>
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        <dateIssued>2023-12</dateIssued>
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            <title>Proceedings of the Natural Legal Language Processing Workshop 2023</title>
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            <namePart type="given">Daniel</namePart>
            <namePart type="family">Preo\textcommabelowtiuc-Pietro</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Catalina</namePart>
            <namePart type="family">Goanta</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Ilias</namePart>
            <namePart type="family">Chalkidis</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Leslie</namePart>
            <namePart type="family">Barrett</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Gerasimos</namePart>
            <namePart type="family">Spanakis</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Nikolaos</namePart>
            <namePart type="family">Aletras</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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            <publisher>Association for Computational Linguistics</publisher>
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    <abstract>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 European Union’s Markets in Crypto-Assets Regulation (MiCAR). Natural Language Processing (NLP) 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.</abstract>
    <identifier type="citekey">camassa-2023-legal</identifier>
    <identifier type="doi">10.18653/v1/2023.nllp-1.14</identifier>
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        <date>2023-12</date>
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            <start>138</start>
            <end>148</end>
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%0 Conference Proceedings
%T Legal NLP Meets MiCAR: Advancing the Analysis of Crypto White Papers
%A Camassa, Carolina
%Y Preo\textcommabelowtiuc-Pietro, Daniel
%Y Goanta, Catalina
%Y Chalkidis, Ilias
%Y Barrett, Leslie
%Y Spanakis, Gerasimos
%Y Aletras, Nikolaos
%S Proceedings of the Natural Legal Language Processing Workshop 2023
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F camassa-2023-legal
%X 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 European Union’s Markets in Crypto-Assets Regulation (MiCAR). Natural Language Processing (NLP) 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.
%R 10.18653/v1/2023.nllp-1.14
%U https://aclanthology.org/2023.nllp-1.14
%U https://doi.org/10.18653/v1/2023.nllp-1.14
%P 138-148

Markdown (Informal)

[Legal NLP Meets MiCAR: Advancing the Analysis of Crypto White Papers](https://aclanthology.org/2023.nllp-1.14) (Camassa, NLLP-WS 2023)

• Legal NLP Meets MiCAR: Advancing the Analysis of Crypto White Papers (Camassa, NLLP-WS 2023)

ACL

• Carolina Camassa. 2023. Legal NLP Meets MiCAR: Advancing the Analysis of Crypto White Papers. In Proceedings of the Natural Legal Language Processing Workshop 2023, pages 138–148, Singapore. Association for Computational Linguistics.