Masked prediction and interdependence network of the law using data from large-scale Japanese court judgments

نویسندگان

چکیده

Abstract Court judgments contain valuable information on how statutory laws and past court precedents are interpreted the interdependence structure among them evolves in courtroom. Data-mining evolving of such customs norms that reflect myriad social values from a large-scale judgment corpus is an essential task both academic industrial perspectives. In this paper, using data approximately 110,000 Japan spanning period 1998–2018 district to supreme level, we propose two tasks grasp highlight strengths weaknesses major machine learning models. One prediction based masked language modeling connects textual legal codes precedents. Another dynamic link where predict hidden law. We make quantitative qualitative comparisons models obtain insights for future developments.

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ژورنال

عنوان ژورنال: Artificial Intelligence and Law

سال: 2022

ISSN: ['0924-8463', '1572-8382']

DOI: https://doi.org/10.1007/s10506-022-09336-5