Semantic word classification and temporaldependency detection on cooking recipes
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
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.
Place, publisher, year, edition, pages
2015. , 48 p.
language technology, machine learning, cooking
IdentifiersURN: urn:nbn:se:liu:diva-122966ISRN: LIU-IDA/LITH-EX-A--15/064--SEOAI: oai:DiVA.org:liu-122966DiVA: diva2:875254
Subject / course
Jönsson, Arne, Professor
Ahrenberg, Lars, Professor Emeritus