<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></abstract>

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.

Introducing Semantic Labels into the DeriNet Network

Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics

Journal of Linguistics/Jazykovedný casopis

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Introducing Semantic Labels into the DeriNet Network"}

The paper describes a semi-automatic procedure introducing semantic labels into the DeriNet network, which is a large, freely available resource modeling...

Introducing Semantic Labels into the DeriNet Network

Published Online: Dec 21, 2019

Page range: 412 - 423

DOI: https://doi.org/10.2478/jazcas-2019-0070

Keywords
derivation, semantic category, comparative semantic concepts, suffix, machine learning

© 2019 Magda Ševčíková et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Introducing Semantic Labels into the DeriNet Network

Published Online: Dec 21, 2019

Page range: 412 - 423

DOI: https://doi.org/10.2478/jazcas-2019-0070

Keywordsderivation, semantic category, comparative semantic concepts, suffix, machine learning

© 2019 Magda Ševčíková et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Keywords
derivation, semantic category, comparative semantic concepts, suffix, machine learning