LexAbSumm: Aspect-based Summarization of Legal Decisions
T. Y. S. S Santosh Mahmoud Aly Matthias Grabmair
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.