The paper presents a reference service architecture for legal knowledge extraction based on a combination of Natural Language Processing and Machine Learning techniques/services. A case-study as well as experimental results are presented based on a pilot dataset of civil court decisions in the framework of the NGUPP project funded by the Italian Ministry of Justice.
A Service Architecture for AI-based Legal Knowledge Extraction / Bellandi, V.; Castano, S.; Montanelli, S.; Riva, D.. - 3478:(2023), pp. 110-119. (Intervento presentato al convegno 31st Symposium of Advanced Database Systems, SEBD 2023 tenutosi a Galzignano Terme (ITA) nel July 2nd to 5th, 2023).
A Service Architecture for AI-based Legal Knowledge Extraction
Riva D.
2023
Abstract
The paper presents a reference service architecture for legal knowledge extraction based on a combination of Natural Language Processing and Machine Learning techniques/services. A case-study as well as experimental results are presented based on a pilot dataset of civil court decisions in the framework of the NGUPP project funded by the Italian Ministry of Justice.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2992894