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Combination of abstractive and extractive approaches for summarization of long scientific texts

2020-06-09 15:38:21
Vladislav Tretyak
arXiv_CL
       
Abstract

In this research work, we present a method to generate summaries of long scientific documents that uses the advantages of both extractive and abstractive approaches. Before producing a summary in an abstractive manner, we perform the extractive step, which then is used for conditioning the abstractor module. We used pre-trained transformer-based language models, for both extractor and abstractor. Our experiments showed that using extractive and abstractive models jointly significantly improves summarization results and ROUGE scores.

Abstract (translated)

URL

https://arxiv.org/abs/2006.05354

PDF

https://arxiv.org/pdf/2006.05354.pdf

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