Introducing Semantic Labels into the DeriNet Network

Magda Ševčíková; Lukáš Kyjánek

doi:10.2478/jazcas-2019-0070

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Introducing Semantic Labels into the DeriNet Network

Journal of Linguistics/Jazykovedný casopis

Volume 70 (2019): Issue 2 (December 2019)

By: Magda Ševčíková and Lukáš Kyjánek

Open Access

|Dec 2019

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.

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Articles in this issue

DOI: https://doi.org/10.2478/jazcas-2019-0070 | Journal eISSN: 1338-4287 | Journal ISSN: 0021-5597

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Language: English

Page range: 412 - 423

Published on: Dec 21, 2019

Published by: Slovak Academy of Sciences, Ľudovít Štúr Institute of Linguistics

In partnership with: Paradigm Publishing Services

Publication frequency: 3 issues per year

Keywords:

derivation,

semantic category,

comparative semantic concepts,

suffix,

machine learning

Related subjects:

Linguistics and semiotics,

Theoretical frameworks and disciplines,

Linguistics, other

© 2019 Magda Ševčíková, Lukáš Kyjánek, published by Slovak Academy of Sciences, Ľudovít Štúr Institute of Linguistics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 70 (2019): Issue 2 (December 2019)