A pipeline for data management, knowledge extraction and semantic analysis of unstructured legal judgments
Contributo in Atti di convegno
Data di Pubblicazione:
2023
Abstract:
This paper describes a pipeline for data management, knowledge extraction and semantic analysis of unstructured legal judgments on a digital database. The research focuses on the storage of judgments, the processing of textual content through the use of Natural Language Processing and AI technologies and the advanced semantic navigation of the database. These results are obtained from the research group of the University of Torino in the NGUPP project.
Tipologia CRIS:
04A-Conference paper in volume
Keywords:
Legal informatics, Legal document classification, Legal document similarity, Principles of Law, Text embeddings
Elenco autori:
Chiara Bonfanti, Michele Colombino, Giorgia Iacobellis, Rachele Mignone, Ivan Spada, Laurentiu Jr Marius Zaharia, Marinella Quaranta, Marianna Molinari, Susanna Marta, Ilaria Angela Amantea, Davide Audrito, Emilio Sulis, Luigi Di Caro, Guido Boella
Link alla scheda completa:
Titolo del libro:
Proceedings of the Italia Intelligenza Artificiale - Thematic Workshops co-located with the 3rd CINI National Lab AIIS Conference on Artificial Intelligence (Ital IA 2023)
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