Change search
ReferencesLink to record
Permanent link

Direct link
Semantic word classification and temporaldependency detection on cooking recipes
Linköping University, Department of Computer and Information Science, Human-Centered systems.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

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.
Keyword [en]
language technology, machine learning, cooking
National Category
Computer Science
URN: urn:nbn:se:liu:diva-122966ISRN: LIU-IDA/LITH-EX-A--15/064--SEOAI: diva2:875254
Subject / course
Information Technology
Available from: 2015-12-15 Created: 2015-12-01 Last updated: 2015-12-15Bibliographically approved

Open Access in DiVA

fulltext(1057 kB)61 downloads
File information
File name FULLTEXT02.pdfFile size 1057 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Jonsson, Erik
By organisation
Human-Centered systems
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 61 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 112 hits
ReferencesLink to record
Permanent link

Direct link