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Designing an Extensible Domain-Specific Web Corpus for “Layfication”: A Case Study in eCare at Home
RISE Research Institutes of Sweden, Sweden.
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering. RISE Research Institutes of Sweden, Sweden.ORCID iD: 0000-0003-4899-588X
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering. RISE Research Institutes of Sweden, Sweden.
Linköping University, Department of Computer and Information Science. Linköping University, Faculty of Science & Engineering.
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2019 (English)In: Cyber-Physical Systems for Social Applications / [ed] Maya Dimitrova and Hiroaki Wagatsuma, 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:liu:diva-156964DOI: 10.4018/978-1-5225-7879-6.ch006ISBN: 9781522593454 (print)ISBN: 9781522578802 (electronic)OAI: oai:DiVA.org:liu-156964DiVA, id: diva2:1316293
Projects
E-care@home
Funder
Knowledge Foundation, 20140217Available from: 2019-05-17 Created: 2019-05-17 Last updated: 2019-05-17Bibliographically approved

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Jönsson, ArneStrandqvist, WiktorNyström, MikaelAlirezaie, MarjanLind, LeiliBlomqvist, EvaKristoffersson, Annica
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Human-Centered systemsFaculty of Science & EngineeringDepartment of Computer and Information ScienceDivision of Biomedical Engineering
Language Technology (Computational Linguistics)

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