Conference Paper/Proceeding/Abstract 6 views
Foundations for Territorial Disambiguation in Law: A Preliminary Study Using the Education Act 2005
,
Hafsa Dar,
Davide Liga,
Joseph Anim,
kuuku Anim
Frontiers in Artificial Intelligence and Applications, Volume: 416, Pages: 412 - 414
Swansea University Authors:
Safia Kanwal, Livio Robaldo , kuuku Anim
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.3233/faia251622
Abstract
In the devolved legal system of the United Kingdom (UK), legislative provisions may apply differently across regions such as England, Wales, Scotland, and Northern Ireland. Accurately determining this territorial scope is essential for legal interpretation and AI-assisted legal tools. However, metad...
| Published in: | Frontiers in Artificial Intelligence and Applications |
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| ISBN: | 9781643686387 |
| ISSN: | 0922-6389 1879-8314 |
| Published: |
Amsterdam
IOS Press
2025
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa70879 |
| Abstract: |
In the devolved legal system of the United Kingdom (UK), legislative provisions may apply differently across regions such as England, Wales, Scotland, and Northern Ireland. Accurately determining this territorial scope is essential for legal interpretation and AI-assisted legal tools. However, metadata capturing jurisdictional applicability is inconsistently format, as only a few Acts include Territorial Application Annexes. This study presents a case study using the Education Act 2005 to evaluate the accuracy of automated methods for identifying territorial scope. We found that only 46.9% of sections matched in jurisdictional coverage. The best-performing approach achieved nearly 80% accuracy, showing that LLMs can effectively support scalable and explainable territorial disambiguation. |
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| Keywords: |
Territorial Disambiguation, Legal—DocML, Large Language Models |
| College: |
Faculty of Humanities and Social Sciences |
| Start Page: |
412 |
| End Page: |
414 |