Japanese Tort-case Dataset for Rationale-supported Legal Judgment Prediction

arXiv:2312.00480v2 Announce Type: replace
Abstract: This paper presents the first dataset for Japanese Legal Judgment Prediction (LJP), the Japanese Tort-case Dataset (JTD), which features two tasks: tort prediction and its rationale extraction. The rationale extraction task identifies the court's accepting arguments from alleged arguments by plaintiffs and defendants, which is a novel task in the field. JTD is constructed based on annotated 3,477 Japanese Civil Code judgments by 41 legal experts, resulting in 7,978 instances with 59,697 of their alleged …

abstract arxiv case court cs.ai cs.cl dataset extraction features japanese judgment legal novel paper prediction replace tasks type