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Extracting Hohfeldian relations from text

Wim Peters, Adam Wyner Orcid Logo

Legal Knowledge and Information Systems, Volume: Volume 279, Pages: 189 - 190

Swansea University Author: Adam Wyner Orcid Logo

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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...

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Published in: Legal Knowledge and Information Systems
ISBN: 978-1-61499-608-8 978-1-61499-609-5
Published: Amsterdam IOS Press 2015
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.
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