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 |
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dc.date.accessioned |
2019-06-11T10:53:01Z |
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dc.date.available |
2019-06-11T10:53:01Z |
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dc.date.issued |
2018-04-03 |
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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 . |
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dc.identifier.citation |
conference |
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dc.identifier.other |
PURE: 105338786 |
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dc.identifier.other |
PURE UUID: c600094d-6ac4-4fe8-bcdb-d43da1178b49 |
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dc.identifier.uri |
http://hdl.handle.net/10138/302668 |
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dc.format.extent |
1 |
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dc.language.iso |
eng |
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dc.rights |
cc_by |
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dc.rights.uri |
info:eu-repo/semantics/openAccess |
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dc.subject |
6121 Languages |
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dc.subject |
113 Computer and information sciences |
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dc.title |
An approach to unsupervised ontology term tagging of dependency-parsed text using a Self-Organizing Map (SOM) |
en |
dc.type |
Poster |
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dc.contributor.organization |
Language Technology |
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dc.description.reviewstatus |
Peer reviewed |
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dc.rights.accesslevel |
openAccess |
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dc.type.version |
publishedVersion |
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