An approach to unsupervised ontology term tagging of dependency-parsed text using a Self-Organizing Map (SOM)

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dc.contributor.author Nyrkkö, Alpo Seppo Antero
dc.date.accessioned 2019-06-11T10:53:01Z
dc.date.available 2019-06-11T10:53:01Z
dc.date.issued 2018-04-03
dc.identifier.citation Nyrkkö , A S A 2018 , ' An approach to unsupervised ontology term tagging of dependency-parsed text using a Self-Organizing Map (SOM) ' , Digital Humanities in the Nordic Countries , [Online event] , 21/10/2020 - 23/10/2020 .
dc.identifier.citation conference
dc.identifier.other PURE: 105338786
dc.identifier.other PURE UUID: c600094d-6ac4-4fe8-bcdb-d43da1178b49
dc.identifier.uri http://hdl.handle.net/10138/302668
dc.format.extent 1
dc.language.iso eng
dc.rights cc_by
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject 6121 Languages
dc.subject 113 Computer and information sciences
dc.title An approach to unsupervised ontology term tagging of dependency-parsed text using a Self-Organizing Map (SOM) en
dc.type Poster
dc.contributor.organization Language Technology
dc.description.reviewstatus Peer reviewed
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

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