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Strickson, Benjamin and De La Iglesia, Beatriz 
ORCID: https://orcid.org/0000-0003-2675-5826
(2020)
Legal Judgement Prediction for UK Courts.
In: UNSPECIFIED.
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Abstract
Legal Judgement Prediction (LJP) is the task of automatically predicting the outcome of a court case given only the case document. During the last five years researchers have successfully attempted this task for the supreme courts of three jurisdictions: the European Union, France, and China. Motivation includes the many real world applications including: a prediction system that can be used at the judgement drafting stage, and the identification of the most important words and phrases within a judgement. The aim of our research was to build, for the first time, an LJP model for UK court cases. This required the creation of a labelled data set of UK court judgements and the subsequent application of machine learning models. We evaluated different feature representations and different algorithms. Our best performing model achieved: 69.05% accuracy and 69.02 F1 score. We demonstrate that LJP is a promising area of further research for UK courts by achieving high model performance and the ability to easily extract useful features.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | legal judgement prediction,feature extraction,legal calculus,human-computer interaction,computer networks and communications,computer vision and pattern recognition,software ,/dk/atira/pure/subjectarea/asjc/1700/1709 |
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 12 May 2020 00:24 |
| Last Modified: | 22 Oct 2022 08:30 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/75123 |
| DOI: | 10.1145/3388176.3388183 |
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