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Extracting Hohfeldian Relations from Text
Wim Peters, Adam Wyner
189 - 190
10.3233/978-1-61499-609-5-189
Frontiers in Artificial Intelligence and Applications
Volume 279: Legal Knowledge and Information Systems
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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