There is homogeneity in the methods used to tackle the named entity recognition tasks, while more diverse solutions are investigated for relation extraction, multi-class classification, and information retrieval problems. Conclusions: There is a clear trend in using data-driven methods to tackle problems in clinical NLP.
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Advancing the State of the Art in Clinical Natural Language Processing through Shared Tasks.
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