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Semantic word classification and temporaldependency detection on cooking recipes

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.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-122966
Date January 2015
CreatorsJonsson, Erik
PublisherLinköpings universitet, Interaktiva och kognitiva system
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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