This paper presents a brief survey of recent trends in legal argument mining, focusing on the early use of large language models in this subfield. As legal texts, especially judicial decisions, increase in volume and complexity, the need for effective tools to extract and analyse legal arguments becomes more pressing. The paper outlines key datasets and tasks in legal argument mining, and identifies challenges and open issues to guide future research.
Liepina, R., Galloni, F., Lagioia, F., Lippi, M., Musicco, M., Sayin, B., et al. (2025). Legal Argument Mining: Recent Trends and Open Challenges.
Legal Argument Mining: Recent Trends and Open Challenges
Ruta Liepina;Francesca Galloni;Francesca Lagioia;Marco Lippi;Mariaceleste Musicco;Andrea Passerini;Giovanni Sartor
2025
Abstract
This paper presents a brief survey of recent trends in legal argument mining, focusing on the early use of large language models in this subfield. As legal texts, especially judicial decisions, increase in volume and complexity, the need for effective tools to extract and analyse legal arguments becomes more pressing. The paper outlines key datasets and tasks in legal argument mining, and identifies challenges and open issues to guide future research.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
LEGAL ARGUMENT MINING .pdf
accesso aperto
Tipo:
Versione (PDF) editoriale / Version Of Record
Licenza:
Licenza per Accesso Aperto. Creative Commons Attribuzione (CCBY)
Dimensione
891.48 kB
Formato
Adobe PDF
|
891.48 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
