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Proceedings Year : 2023

Assessing Ocean’s Legal Protection Using AI: A New Dataset and a BERT-Based Classifier

Youssef Al Mouatamid
  • Function : Author
Jihad Zahir
Hajar Mousannif

Abstract

This paper aims to address the challenge of using artificial intelligence for empirical legal studies. We introduce a new annotated dataset on French marine environmental law dealing with definitions, bans, sanctions, and controls on living (turtles and seabirds) and non-living (plastic bags and straws) subjects. The annotation has been produced by law students and validated by a legal expert. Based on the developed dataset, we train a CamemBERT-based classifier which accurately predicts the class of a given legal article according to the pre-defined classes within the dataset we have created. The proposed training set and the resulting trained model provide a better interpretation and accessibility of legal texts to specialists and the general public, based on findings from legal studies and on natural language processing techniques.

Domains

Law
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Dates and versions

hal-04516129 , version 1 (22-03-2024)

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Cite

Youssef Al Mouatamid, Jihad Zahir, Marie Bonnin, Hajar Mousannif. Assessing Ocean’s Legal Protection Using AI: A New Dataset and a BERT-Based Classifier. 36th Annual International Conference on Legal Knowledge and Information Systems (JURIX), IOS Press, 2023, Frontiers in Artificial Intelligence and Applications, ⟨10.3233/FAIA230972⟩. ⟨hal-04516129⟩
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