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To detect attributes of medical concepts in clinical text, a traditional method often consists of two steps: named entity recognition of attributes and then relation classification between medical concepts and attributes. Here we present a novel solution, in which attribute detection of given concepts is converted into a sequence labeling problem, thus attribute entity recognition and relation classification are done simultaneously within one step.doi:10.1186/s12911-019-0937-2 pmid:31801529 pmcid:PMC6894107 fatcat:qg6coyh6wfgjtbvbou4fhywcp4