LIGA, Davide ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
Using Ontological Knowledge and Large Language Model Vector Similarities to Extract Relevant Concepts in VAT-Related Legal Judgments
Date de publication/diffusion :
04 juin 2024
Titre de l'ouvrage principal :
New Frontiers in Artificial Intelligence. JSAI-isAI 2023. Lecture Notes in Computer Science
Maison d'édition :
Springer, Suisse
Peer reviewed :
Peer reviewed
Subventionnement (détails) :
This works has been supported by the Analytics for Decision of Legal Cases (ADELE), founded by the European Union’s Justice Programme (grant agreement No. 101007420); Davide Liga was supported by the project INDIGO, which is financially supported by the NORFACE Joint Research Programme on Democratic Governance in a Turbulent Age and co-funded by AEI, AKA, DFG and FNR and the European Commission through Horizon 2020 under grant agreement No 822166.
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