In this paper, we propose a knowledge-based service architecture for legal document building based on Natural Language Processing and learning techniques, to semantically analyze a database of ingested legal documents and propose the most prominent and pertinent textual suggestions for new document composition. After describing the proposed NLP services for knowledge extraction and textual suggestion selection and proposition, we describe the application of proposed document builder architecture by considering a case study of Italian civil judgements.
A Knowledge-Based Service Architecture for Legal Document Building / S. Castano, A. Ferrara, S. Montanelli, S. Picascia, D. Riva (CEUR WORKSHOP PROCEEDINGS). - In: JOWO 2023 : The Joint Ontology Workshops / [a cura di] F. Toyoshima, M. Katsumi, E. Sanfilippo. - [s.l] : CEUR-WS, 2023. - pp. 1-15 (( convegno Proceedings of the Joint Ontology Workshops 2023 Episode IX: The Quebec Summer of Ontology co-located with the 13th International Conference on Formal Ontology in Information Systems (FOIS 2023) tenutosi a Sherbrooke nel 2023.
A Knowledge-Based Service Architecture for Legal Document Building
S. Castano;A. Ferrara;S. Montanelli;S. Picascia;D. Riva
2023
Abstract
In this paper, we propose a knowledge-based service architecture for legal document building based on Natural Language Processing and learning techniques, to semantically analyze a database of ingested legal documents and propose the most prominent and pertinent textual suggestions for new document composition. After describing the proposed NLP services for knowledge extraction and textual suggestion selection and proposition, we describe the application of proposed document builder architecture by considering a case study of Italian civil judgements.
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