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  • 标题:Introducing Semantic Labels into the DeriNet Network
  • 本地全文:下载
  • 作者:Magda Ševčíková ; Lukáš Kyjánek
  • 期刊名称:Journal of Linguistics/Jazykovedný casopis
  • 印刷版ISSN:0021-5597
  • 出版年度:2019
  • 卷号:70
  • 期号:2
  • 页码:412-423
  • DOI:10.2478/jazcas-2019-0070
  • 出版社:Walter de Gruyter GmbH
  • 摘要:The paper describes a semi-automatic procedure introducing semantic labels into the DeriNet network, which is a large, freely available resource modeling derivational relations in the lexicon of Czech. The data were assigned labels corresponding to five semantic categories (diminutives, possessives, female nouns, iteratives, and aspectual meanings) by a machine learning model, which achieved excellent results in terms of both precision and recall.
  • 关键词:derivation ; semantic category ; comparative semantic concepts ; suffix ; machine learning
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