Assessing the Impact of Case Sensitivity and Term Information Gain on Biomedical Concept Recognition
Tudor Groza, Karin Verspoor
PLOS ONE | PUBLIC LIBRARY SCIENCE | Published : 2015
Concept recognition (CR) is a foundational task in the biomedical domain. It supports the important process of transforming unstructured resources into structured knowledge. To date, several CR approaches have been proposed, most of which focus on a particular set of biomedical ontologies. Their underlying mechanisms vary from shallow natural language processing and dictionary lookup to specialized machine learning modules. However, no prior approach considers the case sensitivity characteristics and the term distribution of the underlying ontology on the CR process. This article proposes a framework that models the CR process as an information retrieval task in which both case sensitivity a..View full abstract
Awarded by Australian Research Council (ARC)
This work was supported by the Australian Research Council (ARC) Discovery Early Career Researcher Award (DECRA: DE120100508). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.