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Combining word embeddings to extract chemical and drug entities in biomedical literature.
López-Úbeda, Pilar; Díaz-Galiano, Manuel Carlos; Ureña-López, L Alfonso; Martín-Valdivia, M Teresa.
Affiliation
  • López-Úbeda P; Department of Computer Science, Advanced Studies Center in Information and Communication Technologies (CEATIC), Universidad de Jaén, Campus Las Lagunillas s/n, 23071, Jaén, Spain. plubeda@ujaen.es.
  • Díaz-Galiano MC; Department of Computer Science, Advanced Studies Center in Information and Communication Technologies (CEATIC), Universidad de Jaén, Campus Las Lagunillas s/n, 23071, Jaén, Spain.
  • Ureña-López LA; Department of Computer Science, Advanced Studies Center in Information and Communication Technologies (CEATIC), Universidad de Jaén, Campus Las Lagunillas s/n, 23071, Jaén, Spain.
  • Martín-Valdivia MT; Department of Computer Science, Advanced Studies Center in Information and Communication Technologies (CEATIC), Universidad de Jaén, Campus Las Lagunillas s/n, 23071, Jaén, Spain.
BMC Bioinformatics ; 22(Suppl 1): 599, 2021 Dec 17.
Article in En | MEDLINE | ID: mdl-34920708
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Medical Informatics / Pharmaceutical Preparations / Information Storage and Retrieval Type of study: Prognostic_studies Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2021 Type: Article Affiliation country: Spain
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Medical Informatics / Pharmaceutical Preparations / Information Storage and Retrieval Type of study: Prognostic_studies Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2021 Type: Article Affiliation country: Spain