Papers
arxiv:1903.10318
Fine-tune BERT for Extractive Summarization
Published on Mar 25, 2019
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Abstract
BERTSUM, a variant of BERT, achieves top performance on extractive summarization using the CNN/Dailymail dataset with improvements in ROUGE-L.
AI-generated summary
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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