A citation graph built from the complete Ukrainian court registry recovers legal domain boundaries via community detection and predicts legislative importance with AUC 0.9984.
Fowler, Timothy R
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A dual hierarchical RL framework with two agents coordinates high-level dialogue strategy and low-level question generation to emulate judicial questioning and extract key information from Supreme Court arguments, outperforming baselines.
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Automatic Construction of a Legal Citation Graph from 100 Million Ukrainian Court Decisions: Large-Scale Extraction, Topological Analysis, and Ontology-Driven Clustering
A citation graph built from the complete Ukrainian court registry recovers legal domain boundaries via community detection and predicts legislative importance with AUC 0.9984.
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Dual Hierarchical Dialogue Policy Learning for Legal Inquisitive Conversational Agents
A dual hierarchical RL framework with two agents coordinates high-level dialogue strategy and low-level question generation to emulate judicial questioning and extract key information from Supreme Court arguments, outperforming baselines.