@InProceedings{hamon-EtAl:2017:BioNLP,
  author    = {Hamon, Thierry  and  Tabanou, Vincent  and  Mougin, Fleur  and  Grabar, Natalia  and  Thiessard, Frantz},
  title     = {POMELO: Medline corpus with manually annotated food-drug interactions},
  booktitle = {Proceedings of the Biomedical NLP Workshop associated with RANLP 2017},
  month     = {September},
  year      = {2017},
  address   = {Varna, Bulgaria},
  publisher = {INCOMA Ltd.},
  pages     = {73--80},
  abstract  = {When patients take more than one medication, they may be at risk of drug
	interactions, which means that a given drug
	can cause unexpected effects when taken in combination with other drugs.
	Similar
	effects may occur when drugs are taken together with some food or beverages.
	For instance, grapefruit has interactions with
	several drugs, because its active ingredients inhibit enzymes involved in the
	drugs metabolism and can then cause an excessive dosage of these drugs. Yet,
	information on food/drug interactions is poorly researched. The current
	research is mainly provided by the medical domain and a
	very tentative work is provided by computer sciences and NLP domains. One
	factor that motivates the research is related to the availability of the
	annotated corpora and the reference data. The purpose of our work is to
	describe the rationale and approach for creation and annotation of scientific
	corpus with
	information on food/drug interactions. This corpus contains 639 MEDLINE
	citations (titles and abstracts), corresponding to 5,752
	sentences. It is manually annotated by two
	experts. The corpus is named POMELO. This annotated corpus will be made
	available for the research purposes.},
  url       = {https://doi.org/10.26615/978-954-452-044-1_010}
}