Reference : Populating legal ontologies using semantic role labeling
Scientific journals : Article
Engineering, computing & technology : Computer science
Computational Sciences
http://hdl.handle.net/10993/49905
Populating legal ontologies using semantic role labeling
English
Humpreys, Lilo []
Boella, Guido []
van der Torre, Leon mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Robaldo, Livio []
Di Caro, Luigi []
Ghanavati, Sepideh []
Muthuri, Robert []
2021
Artificial Intelligence and Law
Kluwer Academic Publishers
29
2
171-211
Yes (verified by ORBilu)
International
0924-8463
1572-8382
Netherlands
[en] 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.
Researchers
http://hdl.handle.net/10993/49905
10.1007/s10506-020-09271-3

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