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Register a new userDimsum @LaySumm 20: BART-based Approach for Scientific Document Summarization
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Added by
Tiezheng Yu
Publication date
2020
fields
Informatics Engineering
and research's language is
English
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No Arabic 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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