A new synonym-substitution method to enrich the human phenotype ontology.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: Named entity recognition is critical for biomedical text mining, where it is not unusual to find entities labeled by a wide range of different terms. Nowadays, ontologies are one of the crucial enabling technologies in bioinformatics, providing resources for improved natural language processing tasks. However, biomedical ontology-based named entity recognition continues to be a major research problem.

Authors

  • Maria Taboada
    Department of Electronics & Computer Science, University of Santiago de Compostela, Campus Vida, Santiago de Compostela, 15705, Spain. maria.taboada@usc.es.
  • Hadriana Rodriguez
    Department of Electronics & Computer Science, University of Santiago de Compostela, Campus Vida, Santiago de Compostela, 15705, Spain.
  • Ranga C Gudivada
    CareCentrix, Hartford, 06103, Conneticut, USA.
  • Diego Martinez
    Department of Applied Physics, University of Santiago de Compostela, 15705, Santiago de Compostela, Campus Vida, Spain.