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UGDAS: Unsupervised graph-network based denoiser for abstractive summarization in biomedical domain.
Du, Yongping; Zhao, Yiliang; Yan, Jingya; Li, Qingxiao.
Afiliação
  • Du Y; Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China. Electronic address: ypdu@bjut.edu.cn.
  • Zhao Y; Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China. Electronic address: ylzhao7@yeah.net.
  • Yan J; Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China. Electronic address: yanjy1998@163.com.
  • Li Q; Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China. Electronic address: qxli_bjut@163.com.
Methods ; 203: 160-166, 2022 07.
Article em En | MEDLINE | ID: mdl-35378296
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Semântica / COVID-19 Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Semântica / COVID-19 Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article