Papers by Phillip Kemper

1 papers
Leveraging Task Dependency and Contrastive Learning for Case Outcome Classification on European Court of Human Rights Cases (2023.eacl-main)

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Challenge: a new method for case outcome classification is being developed for the European Court of Human Rights.
Approach: They propose to use case facts descriptions to classify whether a court finds a violation of conventions.
Outcome: The proposed model improves on single-task and joint models without contrastive loss.

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