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Leveraging Task Dependency and Contrastive Learning for Case Outcome Classification on European Court of Human Rights Cases
We report on an experiment in case outcome classification on European Court of Human Rights cases where our model first learns to identify the convention articles allegedly violated by the state from case facts descriptions, and subsequently uses that information to classify whether the court finds a violation of those articles.
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