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dc.contributor.author Janz, Arkadiusz
dc.contributor.author Maziarz, Marek
dc.date.accessioned 2025-12-09T11:17:44Z
dc.date.available 2025-12-09T11:17:44Z
dc.date.issued 2021
dc.identifier.uri http://hdl.handle.net/11321/974
dc.description We propose a novel method of homonymy-polysemy discrimination for three Indo-European Languages (English, Spanish and Polish). Support vector machines and LASSO logistic regression were successfully used in this task, outperforming baselines. The feature set utilised lemma properties, gloss similarities, graph distances and polysemy patterns. The proposed ML models performed equally well for English and the other two languages (constituting testing data sets). The algorithms not only ruled out most cases of homonymy but also were efficacious in distinguishing between closer and indirect semantic relatedness.
dc.language.iso eng
dc.language.iso pol
dc.language.iso spa
dc.publisher GWC
dc.rights Creative Commons - Attribution 4.0 International (CC BY 4.0)
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.rights.label CC
dc.subject wordnet
dc.subject polysemy
dc.subject homonymy
dc.title Discriminating Homonymy from Polysemy in Wordnets: English, Spanish and Polish Nouns
dc.type languageDescription
metashare.ResourceInfo#ContentInfo.detailedType other
metashare.ResourceInfo#ContentInfo.mediaType text
has.files yes
branding CLARIN-PL
contact.person Bartłomiej Alberski bartlomiej.alberski@pwr.edu.pl Politechnika Wrocławska
sponsor NCN 2018/29/B/HS2/02919 the CLARIN-PL research infrastructure nationalFunds
files.size 230014
files.count 1


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