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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:Jazykovedn媒 膶asopis
  • 电子版ISSN:1338-4287
  • 出版年度:2019
  • 卷号:70
  • 期号:2
  • 页码:412-423
  • DOI:10.2478/jazcas-2019-0070
  • 语种:English
  • 出版社:Sciendo
  • 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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