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Word Embedding for the French Natural Language in Health Care: Comparative Study.

Emeric DynomantRomain LelongBadisse DahamnaClément R MassonnaudGaétan KerdelhuéJulien GrosjeanStéphane CanuStéfan Jacques Darmoni
Published in: JMIR medical informatics (2019)
Although this implementation had the best rate for semantic properties conservation, each model has its own qualities and defects, such as the training time, which is very short for GloVe, or morphological similarity conservation observed with FastText. Models and test sets produced by this study will be the first to be publicly available through a graphical interface to help advance the French biomedical research.
Keyphrases
  • healthcare
  • primary care
  • autism spectrum disorder