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ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents.
He, Jiayuan; Nguyen, Dat Quoc; Akhondi, Saber A; Druckenbrodt, Christian; Thorne, Camilo; Hoessel, Ralph; Afzal, Zubair; Zhai, Zenan; Fang, Biaoyan; Yoshikawa, Hiyori; Albahem, Ameer; Cavedon, Lawrence; Cohn, Trevor; Baldwin, Timothy; Verspoor, Karin.
Afiliação
  • He J; The University of Melbourne, Parkville, VIC, Australia.
  • Nguyen DQ; RMIT University, Melbourne, VIC, Australia.
  • Akhondi SA; The University of Melbourne, Parkville, VIC, Australia.
  • Druckenbrodt C; VinAI Research, Hanoi, Vietnam.
  • Thorne C; Elsevier BV, Amsterdam, Netherlands.
  • Hoessel R; Elsevier Information Systems GmbH, Frankfurt, Germany.
  • Afzal Z; Elsevier Information Systems GmbH, Frankfurt, Germany.
  • Zhai Z; Elsevier Information Systems GmbH, Frankfurt, Germany.
  • Fang B; Elsevier BV, Amsterdam, Netherlands.
  • Yoshikawa H; The University of Melbourne, Parkville, VIC, Australia.
  • Albahem A; The University of Melbourne, Parkville, VIC, Australia.
  • Cavedon L; The University of Melbourne, Parkville, VIC, Australia.
  • Cohn T; Fujitsu Laboratories Ltd., Tokyo, Japan.
  • Baldwin T; The University of Melbourne, Parkville, VIC, Australia.
  • Verspoor K; RMIT University, Melbourne, VIC, Australia.
Front Res Metr Anal ; 6: 654438, 2021.
Article em En | MEDLINE | ID: mdl-33870071
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Res Metr Anal Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Res Metr Anal Ano de publicação: 2021 Tipo de documento: Article