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Learning for clinical named entity recognition without manual annotations
(2018-10-30)
Background: Named entity recognition (NER) systems are commonly built using supervised methods that use machine learning to learn from corpora manually annotated with named entities. However, manually annotating corpora ...
Using data-driven sublanguage pattern mining to induce knowledge models: application in medical image reports knowledge representation
(2018-01-01)
Background: The use of knowledge models facilitates information retrieval, knowledge base development, and therefore supports new knowledge discovery that ultimately enables decision support applications. Most existing ...