2020 · 61 citations · 26 references
ComputingComputer ScienceData ScienceFeature EngineeringMachine LearningNatural Language ProcessingCase AnalysisLanguage ModelsLegal InferenceRepresentation LearningText Feature EngineeringText MiningDecision Support In LawInference From Legal CasesLearned Feature RepresentationsLegal PredictionPredictionPredictive Legal ReasoningReal-world ApplicationText Mining Features
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.
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