Legal professionals frequently encounter long legal judgments that hold
critical insights for their work. While recent advances have led to automated
summarization solutions for legal documents, they typically provide generic
summaries, which may not meet the diverse information needs of users. To
address this gap, we introduce LexAbSumm, a novel dataset designed for
aspect-based summarization of legal case decisions, sourced from the European
Court of Human Rights jurisdiction. We evaluate several abstractive
summarization models tailored for longer documents on LexAbSumm, revealing a
challenge in conditioning these models to produce aspect-specific summaries. We
release LexAbSum to facilitate research in aspect-based summarization for legal
domain.

面向法律专业人员的，将自动摘要技术应用于长篇法律文书以便满足用户多样化信息需求的研究，引入了一种来自欧洲人权法庭司法管辖区域的面向方面的法律案例决策摘要的新数据集（LexAbSumm），并且通过评估针对长篇文档进行调整的多种生成性摘要建模方法揭示了这些模型在生成方面特定摘要上的挑战，以促进法律领域方面的摘要研究。