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Medical vocabulary mining using distributional semantics on Japanese patient blogs
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
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2014 (English)In: Proceedings of the 6th International Symposium on Semantic Mining in Biomedicine, 2014, 57-62 p.Conference paper, Published paper (Refereed)
Abstract [en]

Random indexing has previously been successfully used for medical vocabulary expansion for Germanic languages. In this study, we used this approach to ex- tract medical terms from a Japanese pa- tient blog corpus. The corpus was seg- mented into semantic units by a semantic role labeller, and different pre-processing and parameter settings were then evalu- ated. The evaluation showed that simi- lar settings are suitable for Japanese as for previously explored Germanic languages, and that distributional semantics is equally useful for semi-automatic expansion of Japanese medical vocabularies as for med- ical vocabularies in Germanic languages.

Place, publisher, year, edition, pages
2014. 57-62 p.
Keyword [en]
Random indexing, Japanese, medical terminologies
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-108688DOI: 10.5167/uzh-98982OAI: oai:DiVA.org:su-108688DiVA: diva2:760066
Conference
6th International Symposium on Semantic Mining in Biomedicine, (SMBM), Aveiro, Portugal, October 6‐7, 2014
Available from: 2014-11-03 Created: 2014-11-03 Last updated: 2014-11-24Bibliographically approved

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Skeppstedt, Maria
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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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