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Dimsum @LaySumm 20: BART-based Approach for Scientific Document Summarization
October 19, 2020 ยท Declared Dead ยท ๐ SDP
"No code URL or promise found in abstract"
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Authors
Tiezheng Yu, Dan Su, Wenliang Dai, Pascale Fung
arXiv ID
2010.09252
Category
cs.CL: Computation & Language
Citations
5
Venue
SDP
Last Checked
5 months ago
Abstract
Lay summarization aims to generate lay summaries of scientific papers automatically. It is an essential task that can increase the relevance of science for all of society. In this paper, we build a lay summary generation system based on the BART model. We leverage sentence labels as extra supervision signals to improve the performance of lay summarization. In the CL-LaySumm 2020 shared task, our model achieves 46.00\% Rouge1-F1 score.
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