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.
CITATION STYLE
Christen, V., Lin, Y. C., Groß, A., Cardoso, S. D., Pruski, C., Da Silveira, M., & Rahm, E. (2019). A learning-based approach to combine medical annotation results: (Short paper). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11371 LNBI, pp. 135–143). Springer Verlag. https://doi.org/10.1007/978-3-030-06016-9_13
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