• Published 2015

InformatIon ExtractIon from clInIcal tExts In russIan

@inproceedings{2015InformatIonEF,
  title={InformatIon ExtractIon from clInIcal tExts In russIan},
  author={},
  year={2015}
}
    We present and evaluate the pipeline for processing of clinical notes in Russian. The paper addresses the tasks of drug identification and disease template filling, which are related to entity recognition and relation extraction. The disease template filling consists in recognition of disease mentions in text, mapping them to concepts of a thesaurus, and discovering their attributes. Discovering attributes means identifying corresponding spans in text, linking them to diseases, and normalizing… CONTINUE READING

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