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Walentynowicz, Wiktor and Piasecki, Maciej, 2023, Wordnet-oriented Recognition of Derivational Relations, CLARIN-PL Repository, http://hdl.handle.net/11321/1002.
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dc.contributor.authorWalentynowicz, Wiktor
dc.contributor.authorPiasecki, Maciej
dc.date.accessioned2025-12-17T10:32:22Z
dc.date.available2025-12-17T10:32:22Z
dc.date.issued2023-01-01
dc.descriptionDerivational relations are an important element in defining meanings, as they help to explore word-formation schemes and predict senses of derivates (derived words). In this work, we analyse different methods of representing derivational forms obtained from WordNet – from quantitative vectors to contextual learned embedding methods – and compare ways of classifying the derivational relations occurring between them. Our research focuses on the explainability of the obtained representations and results. The data source for our research is plWordNet, which is the wordnet of the Polish language and includes a rich set of derivation examples.
dc.identifier.urihttp://hdl.handle.net/11321/1002
dc.language.isoeng
dc.publisherGlobal Wordnet Association
dc.rightsCreative Commons - Attribution 4.0 International (CC BY 4.0)
dc.rights.labelCC
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectWordNet
dc.subjectwordnet
dc.subjectrelations
dc.subjectderivational relations
dc.titleWordnet-oriented Recognition of Derivational Relations
dc.typelanguageDescription
local.contact.personAlicja Derych alicja.derych@pwr.edu.pl Politechnika Wrocławska
local.files.count1
local.files.size137119
local.has.filesyes
local.language.nameEnglish
metashare.ResourceInfo#ContentInfo.detailedTypeother
metashare.ResourceInfo#ContentInfo.mediaTypetext

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