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

Autor:	Tretyak, Vladislav, Stepanov, Denis
Rok vydání:	2020
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
Popis:	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. Comment: 11 pages, 2 figures, 3 table, submitted to 23rd International Conference on Discovery Science. Fixed authors list
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2006.05354 Zobrazit plný text záznamu View this record from Arxiv