This thesis presents an approach to automatically infer facts about cooking recipes.The analysis focuses on two aspects: recognizing words with special semantic meaningin a recipe such as ingredients and tools; and detecting temporal dependencies betweensteps in the cooking procedure. This is done by use of machine learning classicationand several dierent algorithms are benchmarked against each other.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-122966 |
Date | January 2015 |
Creators | Jonsson, Erik |
Publisher | Linköpings universitet, Interaktiva och kognitiva system |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
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