TY - JOUR
AU1 - Humphreys, Llio
AU2 - Boella, Guido
AU3 - van der Torre, Leendert
AU4 - Robaldo, Livio
AU5 - Di Caro, Luigi
AU6 - Ghanavati, Sepideh
AU7 - Muthuri, Robert
AB - 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.
TI - Populating legal ontologies using semantic role labeling
JF - Artificial Intelligence and Law
DO - 10.1007/s10506-020-09271-3
DA - 2020-06-24
UR - https://www.deepdyve.com/lp/springer-journals/populating-legal-ontologies-using-semantic-role-labeling-Rj4Zy88qD9
SP - 171
EP - 211
VL - 29
IS - 2
DP - DeepDyve
ER -