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Medical vocabulary mining using distributional semantics on Japanese patient blogs
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
Vise andre og tillknytning
2014 (engelsk)Inngår i: Proceedings of the 6th International Symposium on Semantic Mining in Biomedicine, 2014, 57-62 s.Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
2014. 57-62 s.
Emneord [en]
Random indexing, Japanese, medical terminologies
HSV kategori
Forskningsprogram
data- och systemvetenskap
Identifikatorer
URN: urn:nbn:se:su:diva-108688DOI: 10.5167/uzh-98982OAI: oai:DiVA.org:su-108688DiVA: diva2:760066
Konferanse
6th International Symposium on Semantic Mining in Biomedicine, (SMBM), Aveiro, Portugal, October 6‐7, 2014
Tilgjengelig fra: 2014-11-03 Laget: 2014-11-03 Sist oppdatert: 2014-11-24bibliografisk kontrollert

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Totalt: 150 treff
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