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

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

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Author Details

Margarida Rebelo Dias
  • Iscte - Instituto Universitário de Lisboa, Lisbon, Portugal
  • INESC-ID Lisboa, Lisbon, Portugal
Ricardo Ribeiro
  • Iscte - Instituto Universitário de Lisboa, Lisbon, Portugal
  • INESC-ID Lisboa, Lisbon, Portugal
H. Sofia Pinto
  • Instituto Superior Técnico - Universidade de Lisboa, Lisbon, Portugal
  • INESC-ID Lisboa, Lisbon, Portugal

Funding

This research was supported by Fundação para a Ciência e Tecnologia (FCT), through the INESC-ID multi-annual funding with reference DOI:10.54499/UIDB/50021/2020. This research is part of the IRIS project with reference PR07005.

Acknowledgements

This project is a collaboration involving the Portuguese Supreme Court of Justice and INESC-ID.

Cite As Get BibTex

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) https://doi.org/10.4230/OASIcs.SLATE.2024.2

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.

Subject Classification

ACM Subject Classification
  • Computing methodologies → Natural language processing
  • Applied computing → Law
Keywords
  • automatic text summarization
  • legal document summarization
  • abstractive summarization
  • transformers
  • European Portuguese

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