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Using Conceptual Spaces to Model Domain Knowledge in Data-to-Text Systems
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-9607-9504
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-3122-693X
2014 (English)In: Proceedings of the 8th International Natural Language Generation Conference, Association for Computational Linguistics, 2014, p. 11-15Conference paper, Published paper (Refereed)
Abstract [en]

This position paper introduces the utilityof the conceptual spaces theory to conceptualisethe acquired knowledge in data-totextsystems. A use case of the proposedmethod is presented for text generationsystems dealing with sensor data. Modellinginformation in a conceptual spaceexploits a spatial representation of domainknowledge in order to perceive unexpectedobservations. This ongoing work aimsto apply conceptual spaces in NLG forgrounding numeric information into thesymbolic representation and confrontingthe important step of acquiring adequateknowledge in data-to-text systems.

Place, publisher, year, edition, pages
Association for Computational Linguistics, 2014. p. 11-15
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-39444OAI: oai:DiVA.org:oru-39444DiVA, id: diva2:770068
Conference
8th International Natural Language Generation(INLG)Conference, 19-21 June, Philadelphia, Pennsylvania, USA
Projects
SAAPHOAvailable from: 2014-12-09 Created: 2014-12-09 Last updated: 2018-01-11Bibliographically approved

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Banaee_INLG2014(869 kB)880 downloads
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File name FULLTEXT01.pdfFile size 869 kBChecksum SHA-512
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Type fulltextMimetype application/pdf

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Banaee, HadiLoutfi, Amy

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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