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Annotated chemical patent corpus: a gold standard for text mining.
Akhondi, Saber A; Klenner, Alexander G; Tyrchan, Christian; Manchala, Anil K; Boppana, Kiran; Lowe, Daniel; Zimmermann, Marc; Jagarlapudi, Sarma A R P; Sayle, Roger; Kors, Jan A; Muresan, Sorel.
Afiliação
  • Akhondi SA; Department of Medical Informatics, Erasmus University Medical Centre, Rotterdam, The Netherlands.
  • Klenner AG; Fraunhofer-Institute for Algorithms and Scientific Computing (SCAI), Fraunhofer-Gesellschaft, Sankt Augustin, Germany.
  • Tyrchan C; RIA Medicinal Chemistry, AstraZeneca R&D Mölndal, Mölndal, Sweden.
  • Manchala AK; GVK Biosciences Private Limited, Hyderabad, India.
  • Boppana K; GVK Biosciences Private Limited, Hyderabad, India.
  • Lowe D; NextMove Software Ltd, Cambridge, England.
  • Zimmermann M; Fraunhofer-Institute for Algorithms and Scientific Computing (SCAI), Fraunhofer-Gesellschaft, Sankt Augustin, Germany.
  • Jagarlapudi SA; GVK Biosciences Private Limited, Hyderabad, India.
  • Sayle R; NextMove Software Ltd, Cambridge, England.
  • Kors JA; Department of Medical Informatics, Erasmus University Medical Centre, Rotterdam, The Netherlands.
  • Muresan S; Chemistry Innovation Centre, AstraZeneca R&D Mölndal, Mölndal, Sweden.
PLoS One ; 9(9): e107477, 2014.
Article em En | MEDLINE | ID: mdl-25268232
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mineração de Dados Tipo de estudo: Prognostic_studies Idioma: En Revista: PLoS One Ano de publicação: 2014 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mineração de Dados Tipo de estudo: Prognostic_studies Idioma: En Revista: PLoS One Ano de publicação: 2014 Tipo de documento: Article