dc.contributor.author |
Sakhaee, Neda |
en |
dc.contributor.author |
Wilson, Mark |
en |
dc.date.accessioned |
2020-02-18T01:02:42Z |
en |
dc.date.issued |
2020-01-28 |
en |
dc.identifier.issn |
0924-8463 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/50095 |
en |
dc.language |
English |
en |
dc.publisher |
SPRINGER |
en |
dc.relation.ispartofseries |
ARTIFICIAL INTELLIGENCE AND LAW |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.subject |
Science & Technology |
en |
dc.subject |
Technology |
en |
dc.subject |
Computer Science, Artificial Intelligence |
en |
dc.subject |
Computer Science |
en |
dc.subject |
Optical character recognition |
en |
dc.subject |
Information extraction |
en |
dc.subject |
Named entity recognition |
en |
dc.subject |
Relation extraction |
en |
dc.subject |
Approximate string matching |
en |
dc.subject |
Legislation network |
en |
dc.subject |
Evaluation |
en |
dc.subject |
CENTRALITY MEASURES |
en |
dc.subject |
ROBUSTNESS |
en |
dc.subject |
ERROR |
en |
dc.title |
Information extraction framework to build legislation network |
en |
dc.type |
Journal Article |
en |
dc.identifier.doi |
10.1007/s10506-020-09263-3 |
en |
dc.rights.holder |
Copyright: The author |
en |
pubs.author-url |
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000515632500001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=6e41486220adb198d0efde5a3b153e7d |
en |
pubs.publication-status |
Published |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/RestrictedAccess |
en |
pubs.subtype |
Article |
en |
pubs.subtype |
Early Access |
en |
pubs.subtype |
Journal |
en |
pubs.elements-id |
789502 |
en |
pubs.org-id |
Science |
en |
pubs.org-id |
School of Computer Science |
en |
dc.identifier.eissn |
1572-8382 |
en |