preprint Open access

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

  • arXiv (Cornell University)
  • Cornell University
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Paper overview

Abstract

BERT, a pre-trained Transformer model, has achieved ground-breaking performance on multiple NLP tasks. In this paper, we describe BERTSUM, a simple variant of BERT, for extractive summarization. Our system is the state of the art on the CNN/Dailymail dataset, outperforming the previous best-performed system by 1.65 on ROUGE-L. The codes to reproduce our results are available at https://github.com/nlpyang/BertSum

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Publication details

DOI
10.4230/oasics.slate.2024.2
OpenAlex
W2924690340
Document type
preprint
Language
EN
Source
arXiv (Cornell University)
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