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Introducing Semantic Labels into the DeriNet Network

Publication at Faculty of Mathematics and Physics |
2019

Abstract

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