Legal Judgement Prediction for UK Courts. Strickson, B. & Iglesia, B. D. L. In pages 204–209, April, 2020. ![Legal Judgement Prediction for UK Courts [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex 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.
@inproceedings{uea75123,
year = {2020},
doi = {10.1145/3388176.3388183},
month = {April},
author = {Benjamin Strickson and Beatriz De La Iglesia},
title = {Legal Judgement Prediction for UK Courts},
pages = {204--209},
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.},
url = {https://ueaeprints.uea.ac.uk/id/eprint/75123/},
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}
}
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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.","url":"https://ueaeprints.uea.ac.uk/id/eprint/75123/","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","bibtex":"@inproceedings{uea75123,\n year = {2020},\n doi = {10.1145/3388176.3388183},\n month = {April},\n author = {Benjamin Strickson and Beatriz De La Iglesia},\n title = {Legal Judgement Prediction for UK Courts},\n pages = {204--209},\n 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. 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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.},\n url = {https://ueaeprints.uea.ac.uk/id/eprint/75123/},\n 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}\n}\n\n","author_short":["Strickson, B.","Iglesia, B. D. 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