<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

Publié en ligne: 21 déc. 2019

Pages: 412 - 423

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

Mots clés
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

Publié en ligne: 21 déc. 2019

Pages: 412 - 423

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

Mots clésderivation, 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.

Mots clés
derivation, semantic category, comparative semantic concepts, suffix, machine learning