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A Learning-Based Approach to Combine Medical Annotation Results

(Short Paper)
  • Victor Christen
  • Ying-Chi Lin
  • Anika Groß
  • Silvio Domingos Cardoso
  • Cédric Pruski
  • Marcos Da Silveira
  • Erhard Rahm
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11371)

Abstract

There exist many tools to annotate mentions of medical entities in documents with concepts from biomedical ontologies. To improve the overall quality of the annotation process, we propose the use of machine learning to combine the results of different annotation tools. We comparatively evaluate the results of the machine-learning based approach with the results of the single tools and a simpler set-based result combination.

Keywords

Biomedical annotation Annotation tool Machine learning 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Victor Christen
    • 1
  • Ying-Chi Lin
    • 1
  • Anika Groß
    • 1
  • Silvio Domingos Cardoso
    • 2
    • 3
  • Cédric Pruski
    • 2
  • Marcos Da Silveira
    • 2
  • Erhard Rahm
    • 1
  1. 1.University of LeipzigLeipzigGermany
  2. 2.LIST, Luxembourg Institute of Science and TechnologyEsch-sur-AlzetteLuxembourg
  3. 3.LRI, University of Paris-Sud XIGif-sur-YvetteFrance

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