Populating legal ontologies using semantic role labeling

Autor:	Sepideh Ghanavati, Luigi Di Caro, Guido Boella, Leendert van der Torre, Livio Robaldo, Robert Muthuri, Llio Humphreys
Rok vydání:	2020
Předmět:	Information extraction Computer science ComputingMilieux_LEGALASPECTSOFCOMPUTING Legal aspects of computing 02 engineering and technology Semantic role labeling 0603 philosophy ethics and religion computer.software_genre Artificial intelligence Classification Law Normative reasoning Ontology Bottleneck World Wide Web Artificial Intelligence 0202 electrical engineering electronic engineering information engineering 06 humanities and the arts Management system Semantic technology 020201 artificial intelligence & image processing Legal document 060301 applied ethics Philosophy of law computer
Zdroj:	Scopus-Elsevier
ISSN:	1572-8382 0924-8463
DOI:	10.1007/s10506-020-09271-3
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7233d914fa6198fc77828781508ae71 https://doi.org/10.1007/s10506-020-09271-3 Zobrazit plný text záznamu Full text from SpringerLink