LIRAI is a workshop series on Legal Information Retrieval and Legal Artificial Intelligence. It provides a forum for discussing current trends and challenges in legal artificial intelligence, specifically related to the hypertext nature of legal documents and retrieval tasks. The second edition of LIRAI focuses on three main directions: explainable / justifiable artificial intelligence, hybrid systems that combine formal approaches and machine learning-based methods, including deep learning-based methods, and finally generative artificial intelligence. We call for contributions on these topics in the form of short and long papers, and we aim to publish them as open-access proceedings on CEUR-WS.org once again.

Wehnert, S., Fiorelli, M., Picca, D., De Luca, E.w., Stellato, A. (2024). LIRAI'24: 2nd Workshop on Legal Information Retrieval meets Artificial Intelligence. In HT '24: Proceedings of the 35th ACM Conference on Hypertext and Social Media (pp. 390-392). New York : Association for Computing Machinery [10.1145/3648188.3675120].

LIRAI'24: 2nd Workshop on Legal Information Retrieval meets Artificial Intelligence

Fiorelli M.;Stellato A.
2024-01-01

Abstract

LIRAI is a workshop series on Legal Information Retrieval and Legal Artificial Intelligence. It provides a forum for discussing current trends and challenges in legal artificial intelligence, specifically related to the hypertext nature of legal documents and retrieval tasks. The second edition of LIRAI focuses on three main directions: explainable / justifiable artificial intelligence, hybrid systems that combine formal approaches and machine learning-based methods, including deep learning-based methods, and finally generative artificial intelligence. We call for contributions on these topics in the form of short and long papers, and we aim to publish them as open-access proceedings on CEUR-WS.org once again.
2024
Settore ING-INF/05
Settore INF/01
Settore INFO-01/A - Informatica
English
Rilevanza internazionale
Articolo scientifico in atti di convegno
Explainable AI; FAIRness; Generative AI; High-Recall Retrieval; Hybrid Approaches; Legal Compliance; Legal Informatics; Legal Information Retrieval; Legal Knowledge Representation; Legal Text Mining; Linguistic Legal Linked Open Data; Semantic Web
Wehnert, S., Fiorelli, M., Picca, D., De Luca, E.w., Stellato, A. (2024). LIRAI'24: 2nd Workshop on Legal Information Retrieval meets Artificial Intelligence. In HT '24: Proceedings of the 35th ACM Conference on Hypertext and Social Media (pp. 390-392). New York : Association for Computing Machinery [10.1145/3648188.3675120].
Wehnert, S; Fiorelli, M; Picca, D; De Luca, Ew; Stellato, A
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/396267
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