Knowledge mining and social dangerousness assessment in criminal justice: metaheuristic integration of machine learning and graph-based inference
One of the main challenges for computational legal research is drawing up innovative heuristics to derive actionable knowledge from legal documents. While a large part of the research has been so far devoted to the extraction of purely legal ...
Two factor-based models of precedential constraint: a comparison and proposal
The article considers two different interpretations of the reason model of precedent pioneered by John Horty. On a plausible interpretation of the reason model, past cases provide reasons to prioritize reasons favouring the same outcome as a past ...
Masked prediction and interdependence network of the law using data from large-scale Japanese court judgments
Court judgments contain valuable information on how statutory laws and past court precedents are interpreted and how the interdependence structure among them evolves in the courtroom. Data-mining the evolving structure of such customs and norms ...
Judicial knowledge-enhanced magnitude-aware reasoning for numerical legal judgment prediction
Legal Judgment Prediction (LJP) is an essential component of legal assistant systems, which aims to automatically predict judgment results from a given criminal fact description. As a vital subtask of LJP, researchers have paid little attention to ...
Legal document assembly system for introducing law students with legal drafting
In this paper, we present a method for introducing law students to the writing of legal documents. The method uses a machine-readable representation of the legal knowledge to support document assembly and to help the students to understand how the ...