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Documents authored by Pinto, H. Sofia


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Contributions to Legal Document Summarization: Judgments from the Portuguese Supreme Court of Justice

Authors: Margarida Rebelo Dias, Ricardo Ribeiro, and H. Sofia Pinto

Published in: OASIcs, Volume 120, 13th Symposium on Languages, Applications and Technologies (SLATE 2024)


Abstract
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.

Cite as

Margarida Rebelo Dias, Ricardo Ribeiro, and H. Sofia Pinto. Contributions to Legal Document Summarization: Judgments from the Portuguese Supreme Court of Justice. In 13th Symposium on Languages, Applications and Technologies (SLATE 2024). Open Access Series in Informatics (OASIcs), Volume 120, pp. 2:1-2:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)


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@InProceedings{dias_et_al:OASIcs.SLATE.2024.2,
  author =	{Dias, Margarida Rebelo and Ribeiro, Ricardo and Pinto, H. Sofia},
  title =	{{Contributions to Legal Document Summarization: Judgments from the Portuguese Supreme Court of Justice}},
  booktitle =	{13th Symposium on Languages, Applications and Technologies (SLATE 2024)},
  pages =	{2:1--2:14},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-321-8},
  ISSN =	{2190-6807},
  year =	{2024},
  volume =	{120},
  editor =	{Rodrigues, M\'{a}rio and Leal, Jos\'{e} Paulo and Portela, Filipe},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2024.2},
  URN =		{urn:nbn:de:0030-drops-220730},
  doi =		{10.4230/OASIcs.SLATE.2024.2},
  annote =	{Keywords: automatic text summarization, legal document summarization, abstractive summarization, transformers, European Portuguese}
}
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