mdh.sePublications
Change search
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
Designing an Extensible Domain-Specific Web Corpus for “Layfication”: A Case Study in eCare at Home
RISE Research Institutes of Sweden, Sweden.
RISE Research Institutes of Sweden, Sweden; Linköping University, Sweden.
RISE Research Institutes of Sweden, Sweden; Linköping University, Sweden.
Linköping University, Sweden.
Show others and affiliations
2019 (English)In: Cyber-Physical Systems for Social Applications / [ed] Maya Dimitrova (Bulgarian Academy of Sciences, Bulgaria) and Hiroaki Wagatsuma (Kyushu Institute of Technology, Japan), Hershey, PA, USA: IGI Global , 2019, p. 98-155Chapter in book (Refereed)
Abstract [en]

In the era of data-driven science, corpus-based language technology is an essential part of cyber physical systems. In this chapter, the authors describe the design and the development of an extensible domain-specific web corpus to be used in a distributed social application for the care of the elderly at home. The domain of interest is the medical field of chronic diseases. The corpus is conceived as a flexible and extensible textual resource, where additional documents and additional languages will be appended over time. The main purpose of the corpus is to be used for building and training language technology applications for the “layfication” of the specialized medical jargon. “Layfication” refers to the automatic identification of more intuitive linguistic expressions that can help laypeople (e.g., patients, family caregivers, and home care aides) understand medical terms, which often appear opaque. Exploratory experiments are presented and discussed.

Place, publisher, year, edition, pages
Hershey, PA, USA: IGI Global , 2019. p. 98-155
National Category
Language Technology (Computational Linguistics)
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:mdh:diva-43407DOI: 10.4018/978-1-5225-7879-6.ch006ISBN: 9781522593454 (print)ISBN: 9781522578802 (electronic)OAI: oai:DiVA.org:mdh-43407DiVA, id: diva2:1314669
Projects
E-care@home
Funder
Knowledge Foundation, 20140217Available from: 2019-05-09 Created: 2019-05-09 Last updated: 2019-05-09Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full texthttp://oru.diva-portal.org/smash/get/diva2:1296207/FULLTEXT01.pdf

Authority records BETA

Alirezaie, Marjan

Search in DiVA

By author/editor
Alirezaie, MarjanKristoffersson, Annica
Language Technology (Computational Linguistics)

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
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