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Integrating shortest dependency path and sentence sequence into a deep learning framework for relation extraction in clinical text
2019
BMC Medical Informatics and Decision Making
Extracting relations between important clinical entities is critical but very challenging for natural language processing (NLP) in the medical domain. Researchers have applied deep learning-based approaches to clinical relation extraction; but most of them consider sentence sequence only, without modeling syntactic structures. The aim of this study was to utilize a deep neural network to capture the syntactic features and further improve the performances of relation extraction in clinical notes.
doi:10.1186/s12911-019-0736-9
pmid:30700301
pmcid:PMC6354333
fatcat:pz6tz64annbmdny5u47pjjb32a