Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Reference42 articles.
1. Cai X, Liu S, Yang L, Lu Y, Zhao J, Shen D, Liu T (2022) COVIDSum: a linguistically enriched SciBERT-based summarization model for COVID-19 scientific papers. J Biomed Inform 127:103999
2. Xie Q, Bishop JA, Tiwari P, Ananiadou S (2022) Pre-trained language models with domain knowledge for biomedical extractive summarization. Knowl-Based Syst 252:109460
3. Tang T, Yuan T, Tang X, Chen D (2020) Incorporating external knowledge into unsupervised graph model for document summarization. Electronics 9(9):1520
4. Zhao J, Liu M, Gao L, Jin Y, Du L, Zhao H, Haffari G (2020) SummPip: unsupervised multi-document summarization with sentence graph compression. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp 1949–1952
5. Wallace BC, Saha S, Soboczenski F, Marshall IJ (2021) Generating (factual?) narrative summaries of rcts: experiments with neural multi-document summarization. AMIA Summits Transl. Sci. Proc. 2021:605
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Hybrid Solution for Summarizing Diverse Medical Texts in the Health Domain;2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE);2024-05-09
2. Deeper Investigation on Extractive-Abstractive Summarization for Indonesian Text;2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS);2024-01-28
3. An Automatic Sentiment Analysis Method for Short Texts Based on Transformer-BERT Hybrid Model;IEEE Access;2024