No Cover Image

Book chapter 299 views

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

Full text not available from this repository: check for access using links below.

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...

Full description

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
Tags: Add Tag
No Tags, Be the first to tag this record!
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: Hillary Rodham Clinton School of Law
Start Page: 189
End Page: 190