LAWSUIT: a LArge expert-Written SUmmarization dataset of ITalian constitutional court verdicts

Abstract Large-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.

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Publication Details

Journal
Artificial Intelligence and Law
Published
2024-09-09
DOI
https://doi.org/10.1007/s10506-024-09414-w
Citations
10
Primary Topic
Artificial Intelligence in Law
Type
article
Field-Weighted Citation Impact
22.31

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article

LAWSUIT: a LArge expert-Written SUmmarization dataset of ITalian constitutional court verdicts

Giacomo Frisoni, Luca Ragazzi, Stefano Guidi, Gianluca Moro
10 citations
Artificial Intelligence and Law
Artificial Intelligence in Law
22.31
article

LAWSUIT: a LArge expert-Written SUmmarization dataset of ITalian constitutional court verdicts

Giacomo Frisoni, Luca Ragazzi, Stefano Guidi, Gianluca Moro
article en
10 citations

Abstract

Abstract Large-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.

Artificial Intelligence and LawVol. 33(4)
University of Bologna (IT)
Università di Bologna
Openalex Percentile: Top 1%
Artificial Intelligence in Law
22.31
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