Causal discovery applied to annotated homicide cases identifies probabilistic links between legal concepts that can support generation of legal arguments.
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EZR combines active Naive Bayes sampling and decision-tree distillation to reach over 90% of best-known multi-objective optimization performance on 60 datasets while producing clearer explanations than LIME, SHAP or BreakDown.
citing papers explorer
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Can Causal Discovery Algorithms Help in Generating Legal Arguments?
Causal discovery applied to annotated homicide cases identifies probabilistic links between legal concepts that can support generation of legal arguments.
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Minimal Data, Maximum Clarity: A Heuristic for Explaining Optimization
EZR combines active Naive Bayes sampling and decision-tree distillation to reach over 90% of best-known multi-objective optimization performance on 60 datasets while producing clearer explanations than LIME, SHAP or BreakDown.