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Understandability of GeneratedDatabase Query Descriptions
KTH, School of Computer Science and Communication (CSC).
KTH, School of Computer Science and Communication (CSC).
2014 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

By creating a relational database describing scenes in pictures and lightly configuring the C-Phrase natural language interface on top of this database, letting the configuration be of minimal cost with naming of names, relations and attributes and a very small set of lexical rules this paper finds that the generated texts are only marginally less understandable by the general public than handwritten texts.

Abstract [sv]

Genom att skapa en relationsdatabas som beskriver scener i bilder och att implementera ett gränsnitt i naturligt språk, C-Phrase, ovanpå en databas, syftar denna uppsats att undersöka förståelse av genererade texter som beskriver databasfrågor. Konfigurationen av C-Phrase¨ar av minimalistisk typ för att simulera ett mer realistiskt scenario,endast namngivning av relationer, attribut och joins samt en liten mängd lexikala regler. Uppsatsen finner att förståelsen för genererade beskrivningar av databasfr°agor i C-Phrase endast är marginellt svårare att förstå än motsvarande beskrivningar skrivna av en människa.

Place, publisher, year, edition, pages
2014.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-157540OAI: oai:DiVA.org:kth-157540DiVA: diva2:770614
Examiners
Available from: 2014-12-11 Created: 2014-12-11 Last updated: 2014-12-11Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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