2019
Enhancing clinical concept extraction with contextual embeddings
Si Y, Wang J, Xu H, Roberts K. Enhancing clinical concept extraction with contextual embeddings. Journal Of The American Medical Informatics Association 2019, 26: 1297-1304. PMID: 31265066, PMCID: PMC6798561, DOI: 10.1093/jamia/ocz096.Peer-Reviewed Original ResearchConceptsClinical concept extractionContextual embeddingsNatural language processing tasksTraditional word embeddingsTraditional word representationsClinical NLP tasksLanguage processing tasksSemantic informationWord embedding methodsLarge language modelsArt performanceConcept extraction taskSemEval 2014Word representationsNLP tasksLanguage modelWord embeddingsProcessing tasksNeural network-based representationI2b2 2010Concept extractionTaskLarge clinical corpusClinical corpusNetwork-based representation
2012
Clinical entity recognition using structural support vector machines with rich features
Tang B, Cao H, Wu Y, Jiang M, Xu H. Clinical entity recognition using structural support vector machines with rich features. 2012, 13-20. DOI: 10.1145/2390068.2390073.Peer-Reviewed Original ResearchStructural support vector machineClinical entity recognitionSupport vector machineConditional Random FieldsNatural language processingEntity recognitionVector machineRich featuresNLP challengeSequential labeling algorithmLarge margin theoryUnsupervised word representationsClinical text processingConcept extraction taskLess training timeHighest F-measureTest setI2b2 NLP challengeExtraction taskTypical machineNER taskClinical textTraining timeF-measureLanguage processing