Deep Neural Models for Medical Concept Normalization in User-Generated Texts

@inproceedings{Miftahutdinov2019DeepNM,
  title={Deep Neural Models for Medical Concept Normalization in User-Generated Texts},
  author={Zulfat Miftahutdinov and Elena Tutubalina},
  booktitle={ACL},
  year={2019}
}
In this work, we consider the medical concept normalization problem, i.e., the problem of mapping a health-related entity mention in a free-form text to a concept in a controlled vocabulary, usually to the standard thesaurus in the Unified Medical Language System (UMLS). This is a challenging task since medical terminology is very different when coming from health care professionals or from the general public in the form of social media texts. We approach it as a sequence learning problem with… CONTINUE READING

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