dc.contributor.authorKyoko, Kanzaki
dc.contributor.authorBond, Francis
dc.contributor.authorTomuro, Noriko
dc.contributor.authorHitoshi, Isahara
dc.identifier.citationKyoko, K., Bond, F. Tomuro, N., & Hitoshi, I. (2008). Extraction of attribute concepts from Japanese adjectives. Proceedings of the Sixth International conference on Language Resources and Evaluation (LREC 2008).
dc.description.abstractWe describe various syntactic and semantic conditions for finding abstractnouns which refer to concepts of adjectives from a text, in an attempt to explore the creation of a thesaurus from text. Depending on usages, six kinds of syntactic patterns are shown. In the syntactic and semantic conditions an omission of an abstract noun is mainly used, but in addition, various linguistic clues are needed. We then compare our results with synsets of Japanese WordNet. From a viewpoint of Japanese WordNet, the degree of agreement of "Attribute" between our data and Japanese WordNet was 22%. On the other hand, the total number of differences of obtained abstract nouns was 267. From a viewpoint of our data,the degree of agreement of abstract nouns between our data and Japanese WordNet was 54%.en_US
dc.format.extent5 p.en_US
dc.rights© 2008 ELRA This is the author created version of a work that has been peer reviewed and accepted for publication by Proceedings of the Sixth International conference on Language Resources and Evaluation (LREC 2008), European Language Resources Association. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [URL: http://www.lrec-conf.org/proceedings/lrec2008/].
dc.titleExtraction of attribute concepts from Japanese adjectivesen_US
dc.typeConference Paper
dc.contributor.conferenceInternational Conference on Language Resources and Evaluation (6th : 2008)en_US
dc.contributor.schoolSchool of Humanities and Social Sciencesen_US
dc.description.versionAccepted versionen_US

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