用法律概念增强查询，提升欧洲人权法院判例检索精度
LeCoPCR: Legal Concept-guided Prior Case Retrieval for European Court of Human Rights cases
- 从案件事实提取法律概念，作为查询增强语义理解
- 基于DPP的弱监督方法提取关键概念，提升检索准确率
- 适合法律AI研究者与司法智能化系统开发者参考
先例检索（PCR）对法律从业者寻找相关判例至关重要。现有方法常忽略查询案件中蕴含的语义意图。本文提出LeCoPCR，通过从查询案件事实中显式生成法律概念，并将其融入查询，以增强模型对决定相关性的语义意图的理解。为应对法律概念标注数据缺失问题，采用弱监督方法，利用行列式点过程（DPP）从判决理由部分提取兼具质量和多样性的关键概念。在ECtHR-PCR数据集上的实验表明，引入法律概念和基于DPP的概念提取方法显著提升了检索效果。
原文摘要 · Abstract (English)
Prior case retrieval (PCR) is crucial for legal practitioners to find relevant precedent cases given the facts of a query case. Existing approaches often overlook the underlying semantic intent in determining relevance with respect to the query case. In this work, we propose LeCoPCR, a novel approach that explicitly generate intents in the form of legal concepts from a given query case facts and then augments the query with these concepts to enhance models understanding of semantic intent that dictates relavance. To overcome the unavailability of annotated legal concepts, we employ a weak supervision approach to extract key legal concepts from the reasoning section using Determinantal Point Process (DPP) to balance quality and diversity. Experimental results on the ECtHR-PCR dataset demonstrate the effectiveness of leveraging legal concepts and DPP-based key concept extraction.
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