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Legal Judgement Prediction for UK Courts
11 references·2 citing·37 second hop
Legal Judgement Prediction for UK Courts (2020)Legal Judgement Prediction for UK CourtsUsing machine learning to predict decisions of the European Court of Human Rights (2019)Using machine learning to pre…Neural Legal Judgment Prediction in English (2019)Neural Legal Judgment Predict…A general approach for predicting the behavior of the Supreme Court of the United States (2017)A general approach for predic…Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective (2016)Predicting judicial decisions…An Empirical Comparison of Four Text Mining Methods (2015)An Empirical Comparison of Fo…Justice Blocks and Predictability of U.S. Supreme Court Votes (2011)Justice Blocks and Predictabi…An Empirical Comparison of Four Text Mining Methods (2010)An Empirical Comparison of Fo…Automatic detection of arguments in legal texts (2007)Automatic detection of argume…Competing Approaches to Predicting Supreme Court Decision Making (2004)Competing Approaches to Predi…Reasoning with cases and hypotheticals in HYPO (1991)Reasoning with cases and hypo…Modeling Legal Argument: Reasoning with Cases and Hypotheticals (1991)Modeling Legal Argument: Reas…Bringing order into the realm of Transformer-based language models for artificial intelligence and law (2023)Bringing order into the realm…Predicting Brazilian Court Decisions (2022)Predicting Brazilian Court De…The Pleadings Game (1994)The Realm of Rhetoric (2021)Comprehension: A Paradigm for Cognition (1998)The Uses of Argument (2003)Automatically classifying case texts and predicting outcomes (2009)CLAUDETTE: an automated detector of potentially unfair clauses in online terms of service (2019)A comparative study of automated legal text classification using random forests and deep learning (2021)More Than Words: Quantifying Language to Measure Firms' Fundamentals (2008)The SAGE Handbook of Online Research Methods (2016)Applying LSA text mining technique in envisioning social impacts of emerging technologies: The case of drone technology (2017)Voice of airline passenger: A text mining approach to understand customer satisfaction (2019)The Logic of Inductive Inference (1935)Why the “Haves” Come Out Ahead: Speculations on the Limits of Legal Change (1974)Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953–1999 (2002)Improving Predictions using Ensemble Bayesian Model Averaging (2012)Trusting Judgements: How to Get the Best out of Experts (2015)Natural language processing in law: Prediction of outcomes in the higher courts of Turkey (2021)Analyzing unstructured text data: Using latent categorization to identify intellectual communities in information systems (2008)The entrepreneur’s perception on information technology innovation adoption: An empirical analysis of the role of precipitating events on usage behavior (2012)Unwanted advances in higher education:Uncovering sexual harassment experiences in academia with text mining (2019)Stimulating innovation with an innovative curriculum: A curriculum design for a course on new product development (2021)The Selection of Disputes for Litigation (1984)The Supreme Court and the Attitudinal Model Revisited (2002)Gender identity and lexical variation in social media (2014)How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence (2020)'It's Reducing a Human Being to a Percentage'; Perceptions of Justice in Algorithmic Decisions (2018)Legal Judgment Prediction via Topological Learning (2018)ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation (2021)Lawformer: A pre-trained language model for Chinese legal long documents (2021)Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013)Scalable and explainable legal prediction (2020)LexGLUE: A Benchmark Dataset for Legal Language Understanding in English (2021)LexGLUE: A Benchmark Dataset for Legal Language Understanding in English (2022)Online Learning and Online Convex Optimization (2012)Using background knowledge in case-based legal reasoning: A computational model and an intelligent learning environment (2003)CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering (2024)Large language models in law: A survey (2024)
this work references cited by second hop

References

  • 2016Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective812 cited
  • 1991Modeling Legal Argument: Reasoning with Cases and Hypotheticals550 cited
  • 2017A general approach for predicting the behavior of the Supreme Court of the United States530 cited
  • 2019Using machine learning to predict decisions of the European Court of Human Rights430 cited
  • 2019Neural Legal Judgment Prediction in English350 cited
  • 2007Automatic detection of arguments in legal texts265 cited
  • 1991Reasoning with cases and hypotheticals in HYPO213 cited
  • 2004Competing Approaches to Predicting Supreme Court Decision Making133 cited
  • 2010An Empirical Comparison of Four Text Mining Methods126 cited
  • 2015An Empirical Comparison of Four Text Mining Methods63 cited
  • 2011Justice Blocks and Predictability of U.S. Supreme Court Votes52 cited

Cited by

  • 2022Predicting Brazilian Court Decisions60 cited
  • 2023Bringing order into the realm of Transformer-based language models for artificial intelligence and law57 cited

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