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.- Anthology ID:
- R17-2001
- Volume:
- Proceedings of the Student Research Workshop Associated with RANLP 2017
- Month:
- September
- Year:
- 2017
- Address:
- Varna
- Venue:
- RANLP
- SIG:
- Publisher:
- INCOMA Ltd.
- Note:
- Pages:
- 1–9
- Language:
- URL:
- https://doi.org/10.26615/issn.1314-9156.2017_001
- DOI:
- 10.26615/issn.1314-9156.2017_001
- Cite (ACL):
- Nadia Clairet. 2017. Dish Classification using Knowledge based Dietary Conflict Detection. In Proceedings of the Student Research Workshop Associated with RANLP 2017, pages 1–9, Varna. INCOMA Ltd..
- Cite (Informal):
- Dish Classification using Knowledge based Dietary Conflict Detection (Clairet, RANLP 2017)
- PDF:
- https://doi.org/10.26615/issn.1314-9156.2017_001