Papers with topological multi-task learning framework

1 papers
Legal Judgment Prediction via Topological Learning (D18-1)

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Challenge: Existing studies focus on a specific subtask of judgment prediction and ignore the dependencies among subtasks.
Approach: They propose a topological multi-task learning framework that incorporates multiple subtasks and DAG dependencies into judgment prediction.
Outcome: The proposed model improves on baselines on all judgment prediction tasks.

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