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A Fine-Tuned Bidirectional Encoder Representations From Transformers Model for Food Named-Entity Recognition: Algorithm Development and Validation.

Riste StojanovGorjan PopovskiGjorgjina CenikjBarbara Koroušić SeljakTome Eftimov
Published in: Journal of medical Internet research (2021)
FoodNER can be used to extract and annotate food entities in 5 different tasks: food versus nonfood entities and distinguishing food entities on the level of food groups by using the closest Hansard semantic tags, the parent Hansard semantic tags, the FoodOn semantic tags, or the Systematized Nomenclature of Medicine Clinical Terms semantic tags.
Keyphrases
  • human health
  • working memory
  • oxidative stress
  • risk assessment
  • deep learning
  • air pollution
  • anti inflammatory