No Cover Image

Conference Paper/Proceeding/Abstract 784 views

A study on translating regulatory rules from natural language to defeasible logic

Adam Wyner Orcid Logo

Swansea University Author: Adam Wyner Orcid Logo

Published: 2013
URI: https://cronfa.swan.ac.uk/Record/cronfa50697
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2019-06-06T20:54:06Z
last_indexed 2023-01-11T14:27:13Z
id cronfa50697
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2022-09-28T17:06:02.9102617</datestamp><bib-version>v2</bib-version><id>50697</id><entry>2019-06-06</entry><title>A study on translating regulatory rules from natural language to defeasible logic</title><swanseaauthors><author><sid>51fa34a3136b8e81fc273fce73e88099</sid><ORCID>0000-0002-2958-3428</ORCID><firstname>Adam</firstname><surname>Wyner</surname><name>Adam Wyner</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2019-06-06</date><deptcode>SCS</deptcode><abstract/><type>Conference Paper/Proceeding/Abstract</type><journal/><volume/><journalNumber/><paginationStart/><paginationEnd/><publisher/><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic/><keywords/><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2013</publishedYear><publishedDate>2013-12-31</publishedDate><doi/><url/><notes/><college>COLLEGE NANME</college><department>Computer Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SCS</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2022-09-28T17:06:02.9102617</lastEdited><Created>2019-06-06T17:50:00.7080456</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Adam</firstname><surname>Wyner</surname><orcid>0000-0002-2958-3428</orcid><order>1</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2022-09-28T17:06:02.9102617 v2 50697 2019-06-06 A study on translating regulatory rules from natural language to defeasible logic 51fa34a3136b8e81fc273fce73e88099 0000-0002-2958-3428 Adam Wyner Adam Wyner true false 2019-06-06 SCS Conference Paper/Proceeding/Abstract 31 12 2013 2013-12-31 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2022-09-28T17:06:02.9102617 2019-06-06T17:50:00.7080456 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Adam Wyner 0000-0002-2958-3428 1
title A study on translating regulatory rules from natural language to defeasible logic
spellingShingle A study on translating regulatory rules from natural language to defeasible logic
Adam Wyner
title_short A study on translating regulatory rules from natural language to defeasible logic
title_full A study on translating regulatory rules from natural language to defeasible logic
title_fullStr A study on translating regulatory rules from natural language to defeasible logic
title_full_unstemmed A study on translating regulatory rules from natural language to defeasible logic
title_sort A study on translating regulatory rules from natural language to defeasible logic
author_id_str_mv 51fa34a3136b8e81fc273fce73e88099
author_id_fullname_str_mv 51fa34a3136b8e81fc273fce73e88099_***_Adam Wyner
author Adam Wyner
author2 Adam Wyner
format Conference Paper/Proceeding/Abstract
publishDate 2013
institution Swansea University
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 0
active_str 0
published_date 2013-12-31T04:02:15Z
_version_ 1763753208944001024
score 11.012678

Similar Items