Data di Pubblicazione:
2021
Abstract:
This article seeks to address the problem of the ‘resource consumption bottleneck’ of creating legal semantic technologies manually. It describes a semantic role labeling based information extraction system to extract definitions and norms from legislation and represent them as structured norms in legal ontologies. The output is intended to help make laws more accessible, understandable, and searchable in a legal document management system.
Tipologia CRIS:
03A-Articolo su Rivista
Keywords:
Artificial intelligence; Classification; Information extraction; Law; Normative reasoning; Ontology; Semantic role labeling
Elenco autori:
Humphreys L.; Boella G.; van der Torre L.; Robaldo L.; Di Caro L.; Ghanavati S.; Muthuri R.
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