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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
Identifiers
URN: urn:nbn:se:liu:diva-122966ISRN: LIU-IDA/LITH-EX-A--15/064--SEOAI: oai:DiVA.org:liu-122966DiVA: diva2:875254
Subject / course
Information Technology
Supervisors
Examiners
Available from: 2015-12-15 Created: 2015-12-01 Last updated: 2015-12-15Bibliographically approved

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fulltext(1057 kB)119 downloads
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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
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