Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/34597
Autoria: | Dias, M. Ribeiro, R. Pinto, H. |
Editor: | Mário Rodrigues José Paulo Leal Filipe Portela |
Data: | 2024 |
Título próprio: | Contributions to legal document summarization: Judgments from the Portuguese Supreme Court of Justice |
Título e volume do livro: | 13th Symposium on Languages, Applications and Technologies (SLATE 2024) |
Paginação: | 2:1-2:14 |
Título do evento: | OpenAccess Series in Informatics |
Referência bibliográfica: | Dias, M., Ribeiro, R., & Pinto, H. (2024). Contributions to legal document summarization: Judgments from the Portuguese Supreme Court of Justice. In M. Rodrigues, J. P. Leal, & F. Portela (Eds.), 13th Symposium on Languages, Applications and Technologies (SLATE 2024) (pp. 2:1-2:14). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. https://doi.org/10.4230/OASIcs.SLATE.2024.2 |
ISSN: | 2190-6807 |
ISBN: | 978-395977321-8 |
DOI (Digital Object Identifier): | 10.4230/OASIcs.SLATE.2024.2 |
Palavras-chave: | Automatic text summarization Legal document summarization Abstractive summarization Transformers European Portuguese |
Resumo: | Legal documents are commonly known for being lengthy and having a specific vocabulary. For professionals and non-jurists, having a summary of each document is crucial so they can use it as a reference for other cases without spending too much time reading the entire document. In the Portuguese Supreme Court of Justice, summaries are done manually, by its Judges which is very time-consuming because of the length of the legal documents. Aiming to support the Judges in this task, the goal of this work is to investigate how different techniques and methods of automated text summarization can achieve good performance on Portuguese legal documents. |
Arbitragem científica: | yes |
Acesso: | Acesso Aberto |
Aparece nas coleções: | CTI-CRI - Comunicações a conferências internacionais |
Ficheiros deste registo:
Ficheiro | Tamanho | Formato | |
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conferenceObject_106890.pdf | 1,08 MB | Adobe PDF | Ver/Abrir |
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