Using Agreement Statements to Identify Majority Opinion in UKHL Case Law

Josef Valvoda; Oliver Ray; Ken Satoh

doi:10.3233/978-1-61499-935-5-141

Using Agreement Statements to Identify Majority Opinion in UKHL Case Law

Josef Valvoda, Oliver Ray, Ken Satoh

Intelligent Systems Laboratory

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

6 Citations (Scopus)

189 Downloads (Pure)

Abstract

This paper is concerned with the task of finding majority opinion (MO) in UK House of Lords (UKHL) case law by analysing agreement statements (AS) that explicitly express the appointed judges' acceptance of each other's reasoning. We introduce a corpus of 300 UKHL cases in which the relevant AS and MO have been annotated by three legal experts; and we introduce an AI system that automatically identifies this AS and MO with a performance comparable to humans.

Original language	English
Title of host publication	Frontiers in Artificial Intelligence and Applications
Subtitle of host publication	Legal Knowledge and Information Systems (Jurix2018)
Editors	Monica Palmirani
Place of Publication	Netherlands
Publisher	IOS Press
Pages	141-150
Number of pages	10
Volume	313
ISBN (Electronic)	9781614999355
ISBN (Print)	9781614999348
DOIs	https://doi.org/10.3233/978-1-61499-935-5-141
Publication status	Published - 31 Dec 2018

Keywords

Majority Opinion
UK House of Lords

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Dr Oliver Ray
- csxorbristol.acuk
- School of Computer Science - Senior Lecturer
- Intelligent Systems Laboratory
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Cite this

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title = "Using Agreement Statements to Identify Majority Opinion in UKHL Case Law",

abstract = "This paper is concerned with the task of finding majority opinion (MO) in UK House of Lords (UKHL) case law by analysing agreement statements (AS) that explicitly express the appointed judges' acceptance of each other's reasoning. We introduce a corpus of 300 UKHL cases in which the relevant AS and MO have been annotated by three legal experts; and we introduce an AI system that automatically identifies this AS and MO with a performance comparable to humans.",

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Using Agreement Statements to Identify Majority Opinion in UKHL Case Law. / Valvoda, Josef; Ray, Oliver; Satoh, Ken.
Frontiers in Artificial Intelligence and Applications: Legal Knowledge and Information Systems (Jurix2018). ed. / Monica Palmirani. Vol. 313 Netherlands: IOS Press, 2018. p. 141-150.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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AB - This paper is concerned with the task of finding majority opinion (MO) in UK House of Lords (UKHL) case law by analysing agreement statements (AS) that explicitly express the appointed judges' acceptance of each other's reasoning. We introduce a corpus of 300 UKHL cases in which the relevant AS and MO have been annotated by three legal experts; and we introduce an AI system that automatically identifies this AS and MO with a performance comparable to humans.

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BT - Frontiers in Artificial Intelligence and Applications

A2 - Palmirani, Monica

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CY - Netherlands

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Using Agreement Statements to Identify Majority Opinion in UKHL Case Law

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Dr Oliver Ray

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