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Exploiting Textual Similarity Techniques in Harmonization of Laws

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AIxIA 2021 – Advances in Artificial Intelligence (AIxIA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13196))

Abstract

This paper describes an application of textual similarity techniques in the Legal Informatics domain. In European law, a relevant interest relates to the transposition of EU directives by the Member States, which can be complete, partial, or eventually absent. As part of an European project, legal experts annotated transpositions of six directives on a per-article basis. Following an established NLP pipeline, we explore a similarity-based technique to identify correspondences between transpositions of national implementations. Early results are promising and show the role that Artificial Intelligence may play within the process of harmonization and standardization of domestic legal systems as a result of the adoption of EU legislation.

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Notes

  1. 1.

    https://www.crossjustice.eu.

  2. 2.

    https://www.crossjustice.eu/en/index.html#crossjustice-platform.

  3. 3.

    From the scikit-learn python library sklearn.metrics.pairwise we adopted cosine_similarity method.

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Acknowledgement

This work has been supported by the European Union’s Justice Programme (Grant Agreement No. 847346) for the project “Knowledge, Advisory and Capacity Building Information Tool for Criminal Procedural Rights in Judicial Cooperation”.

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Authors and Affiliations

  1. Computer Science Department, University of Torino, Corso Svizzera 185, Turin, Italy

    Emilio Sulis, Llio Bryn Humphreys, Davide Audrito & Luigi Di Caro

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  1. Emilio Sulis
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  2. Llio Bryn Humphreys
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  3. Davide Audrito
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  4. Luigi Di Caro
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Correspondence to Emilio Sulis .

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Editors and Affiliations

  1. Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy

    Stefania Bandini

  2. Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy

    Francesca Gasparini

  3. Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Genova, Italy

    Viviana Mascardi

  4. Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy

    Matteo Palmonari

  5. Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy

    Giuseppe Vizzari

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Sulis, E., Humphreys, L.B., Audrito, D., Di Caro, L. (2022). Exploiting Textual Similarity Techniques in Harmonization of Laws. In: Bandini, S., Gasparini, F., Mascardi, V., Palmonari, M., Vizzari, G. (eds) AIxIA 2021 – Advances in Artificial Intelligence. AIxIA 2021. Lecture Notes in Computer Science(), vol 13196. Springer, Cham. https://doi.org/10.1007/978-3-031-08421-8_13

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