@InProceedings{clairet:2017:RANLPStud,
  author    = {Clairet, Nadia},
  title     = {Dish Classification using Knowledge based Dietary Conflict Detection},
  booktitle = {Proceedings of the Student Research Workshop Associated with RANLP 2017},
  month     = {September},
  year      = {2017},
  address   = {Varna},
  publisher = {INCOMA Ltd.},
  pages     = {1--9},
  abstract  = {The present paper considers the problem of dietary conflict detection from dish
	titles. The proposed method explores the semantics associated with the dish
	title in order to discover a certain or possible incompatibility of a
	particular dish with a particular diet. Dish titles are parts of the elusive
	and metaphoric gastronomy language, their processing can be viewed as a
	combination of short text and domain-specific texts analysis. We build our
	algorithm on the basis of a common knowledge lexical semantic network and show
	how such network can be used for domain specific short text processing.},
  url       = {https://doi.org/10.26615/issn.1314-9156.2017_001}
}