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Testing AI-democratization: What are the lower limits of textgeneration using artificial neural networks?
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
2019 (English)Independent thesis Basic level (professional degree), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Articial intelligence is an area of technology which is rapidly growing. Considering it'sincreasing inuence in society, how available is it? This study attempts to create a web contentsummarizer using generative machine learning. Several concepts and technologies are explored, most notably sequence to sequence, transfer learning and recursive neural networks. The study later concludes how creating a purely generative summarizer is unfeasible on a hobbyist level due to hardware restrictions, showing that slightly more advanced machine learning techniques still are unavailable to non-specialized individuals. The reasons why are investigated in depth using an extensive theoretical section which initially explains how neural networks work, then natural language processing at large and finally how to create a generative recurrent articial neural network. Ethical and societal concerns concerning machine learning text generation is also discussed, along with alternative approaches to solving the task at hand.

Place, publisher, year, edition, pages
2019. , p. 52
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:ltu:diva-77167OAI: oai:DiVA.org:ltu-77167DiVA, id: diva2:1377855
External cooperation
SysPartner
Subject / course
Student thesis, at least 15 credits
Educational program
Computer Engineering, bachelor's level
Presentation
2019-11-20, A2527, Campus Luleå, Luleå, 13:00 (Swedish)
Supervisors
Examiners
Available from: 2019-12-16 Created: 2019-12-12 Last updated: 2019-12-16Bibliographically approved

Open Access in DiVA

fulltext(1687 kB)36 downloads
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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf