Using Ontological Knowledge and Large Language Model Vector Similarities to Extract Relevant Concepts in VAT-Related Legal Judgments

LIGA, Davide

doi:10.1007/978-3-031-60511-6_8

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Using Ontological Knowledge and Large Language Model Vector Similarities to Extract Relevant Concepts in VAT-Related Legal Judgments

LIGA, Davide

2024 • In New Frontiers in Artificial Intelligence. JSAI-isAI 2023. Lecture Notes in Computer Science

Peer reviewed

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https://hdl.handle.net/10993/61347

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10.1007/978-3-031-60511-6_8

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Disciplines :

Computer science

Author, co-author :

LIGA, Davide ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)

External co-authors :

Language :

English

Title :

Using Ontological Knowledge and Large Language Model Vector Similarities to Extract Relevant Concepts in VAT-Related Legal Judgments

Publication date :

04 June 2024

Main work title :

New Frontiers in Artificial Intelligence. JSAI-isAI 2023. Lecture Notes in Computer Science

Publisher :

Springer, Switzerland

Peer reviewed :

Peer reviewed

Funding text :

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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