• Medientyp: E-Artikel
  • Titel: LAWSUIT: a LArge expert-Written SUmmarization dataset of ITalian constitutional court verdicts
  • Beteiligte: Ragazzi, Luca; Moro, Gianluca; Guidi, Stefano; Frisoni, Giacomo
  • Erschienen: Springer Science and Business Media LLC, 2024
  • Erschienen in: Artificial Intelligence and Law (2024)
  • Sprache: Englisch
  • DOI: 10.1007/s10506-024-09414-w
  • ISSN: 0924-8463; 1572-8382
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  • Beschreibung: AbstractLarge-scale public datasets are vital for driving the progress of abstractive summarization, especially in law, where documents have highly specialized jargon. However, the available resources are English-centered, limiting research advancements in other languages. This paper introduces LAWSUIT, a collection of 14K Italian legal verdicts with expert-authored abstractive maxims drawn from the Constitutional Court of the Italian Republic. LAWSUIT presents an arduous task with lengthy source texts and evenly distributed salient content. We offer extensive experiments with sequence-to-sequence and segmentation-based approaches, revealing that the latter achieve better results in full and few-shot settings. We openly release LAWSUIT to foster the development and automation of real-world legal applications.