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Clinical Text Generation through Leveraging Medical Concept and Relations
With a neural sequence generation model, this study aims to develop a method of writing the patient clinical texts given a brief medical history.
Connecting Distant Entities with Induction through Conditional Random Fields for Named Entity Recognition: Precursor-Induced CRF
This paper presents a method of designing specific high-order dependency factor on the linear chain conditional random fields (CRFs) for named entity recognition (NER).
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