TY - GEN
T1 - On annotation of the textual contents of Scottish legal instruments
AU - Wyner, Adam
AU - Gough, Fraser
AU - Levy, Francois
AU - Lynch, Matt
AU - Nazarenko, Adeline
N1 - We thank the funding from the University of Aberdeen’s Impact, Knowledge Exchange, and Commercialisation Award for this 10 week study. This work was also supported by the French National Research Agency (ANR-10-LABX-0083) in the context of the Labex EFL. We also thank the student staff: A. Andonov, A. Faulds, E. Onwa, L. Schelling, R. Stoyanov, and O. Toloch.
PY - 2017
Y1 - 2017
N2 - LegalRuleML is a developing standard for representing the fine-grained semantic contents of legal texts. Such a representation would be highly useful for Semantic Web applications, but deriving formal rules from the textual source is problematic; there is currently little in the way of methodology to systematically transform language to LegalRuleML. To address this, we outline the purposes, processes, and outputs of a pilot study on the annotation of the contents of Scottish legal instruments, using key LegalRuleML elements as annotations. The resulting annotated corpus is assessed in terms of how well it answers the users’ queries.
AB - LegalRuleML is a developing standard for representing the fine-grained semantic contents of legal texts. Such a representation would be highly useful for Semantic Web applications, but deriving formal rules from the textual source is problematic; there is currently little in the way of methodology to systematically transform language to LegalRuleML. To address this, we outline the purposes, processes, and outputs of a pilot study on the annotation of the contents of Scottish legal instruments, using key LegalRuleML elements as annotations. The resulting annotated corpus is assessed in terms of how well it answers the users’ queries.
KW - Legal text processing
KW - Markup language
KW - Methodology
KW - Semantic annotation
UR - http://www.scopus.com/inward/record.url?scp=85037999947&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-838-9-101
DO - 10.3233/978-1-61499-838-9-101
M3 - Published conference contribution
AN - SCOPUS:85037999947
SN - 9781614998372
T3 - Frontiers in Artificial Intelligence and Applications
SP - 101
EP - 106
BT - Legal Knowledge and Information Systems - JURIX 2017
A2 - Wyner, Adam
A2 - Casini, Giovanni
PB - IOS Press
CY - Amsterdam
T2 - 30th International Conference on Legal Knowledge and Information Systems, JURIX 2017
Y2 - 13 December 2017 through 15 December 2017
ER -