Book chapter 864 views
Extracting Hohfeldian relations from text
Legal Knowledge and Information Systems, Volume: Volume 279, Pages: 189 - 190
Swansea University Author: Adam Wyner
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DOI (Published version): 10.3233/978-1-61499-609-5-189
Abstract
This paper presents a semi-automatic methodology and application for identifying the Hohfeldian relation Duty in legal text, using the General Architecture for Text Engineering tool for the automated extraction of Duty instances and its associated roles. The method incrementally supports scholars in...
Published in: | Legal Knowledge and Information Systems |
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ISBN: | 978-1-61499-608-8 978-1-61499-609-5 |
Published: |
Amsterdam
IOS Press
2015
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Online Access: |
https://ebooks.iospress.nl/volumearticle/42000 |
URI: | https://cronfa.swan.ac.uk/Record/cronfa50689 |
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Abstract: |
This paper presents a semi-automatic methodology and application for identifying the Hohfeldian relation Duty in legal text, using the General Architecture for Text Engineering tool for the automated extraction of Duty instances and its associated roles. The method incrementally supports scholars in their interpretation. |
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Item Description: |
Book edited by Antonino Rotolo |
Keywords: |
Hohfeldian ,Text Engineering, Duty instances, roles. |
College: |
Faculty of Humanities and Social Sciences |
Start Page: |
189 |
End Page: |
190 |