Contributions to Legal Document Summarization: Judgments from the Portuguese Supreme Court of Justice
Dias, Margarida Rebelo, Ribeiro, Ricardo, Pinto, H. Sofia · arXiv (Cornell University) · 2019
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