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Maziarz, Marek and Rudnicka, Ewa, 2020, Expanding WordNet with Gloss and Polysemy Links for Evocation Strength Recognition, CLARIN-PL Repository, http://hdl.handle.net/11321/990.
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dc.contributor.authorMaziarz, Marek
dc.contributor.authorRudnicka, Ewa
dc.date.accessioned2025-12-17T10:27:19Z
dc.date.available2025-12-17T10:27:19Z
dc.date.issued2020-12-01
dc.descriptionEvocation — a phenomenon of sense associations going beyond standard (lexico)-semantic relations — is difficult to recognise for natural language processing systems. Machine learning models give predictions which are only moderately correlated with the evocation strength. It is believed that ordinary graph measures are not as good at this task as methods based on vector representations. The paper proposes a new method of enriching the WordNet structure with weighted polysemy and gloss links, and proves that Dijkstra’s algorithm performs equally as well as other more sophisticated measures when set together with such expanded structures.
dc.identifier.urihttp://hdl.handle.net/11321/990
dc.language.isoeng
dc.publisherInstytut Slawistyki Polskiej Akademii Nauk
dc.rightsCreative Commons - Attribution 4.0 International (CC BY 4.0)
dc.rights.labelCC
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectevocation
dc.subjectWordNet
dc.subjectpolysemy
dc.subjectevocation strength
dc.subjectsemantic relations
dc.titleExpanding WordNet with Gloss and Polysemy Links for Evocation Strength Recognition
dc.typelanguageDescription
local.contact.personAlicja Derych alicja.derych@pwr.edu.pl Politechnika Wrocławska
local.files.count1
local.files.size2982000
local.has.filesyes
local.language.nameEnglish
metashare.ResourceInfo#ContentInfo.detailedTypeother
metashare.ResourceInfo#ContentInfo.mediaTypetext

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Maziarz, Rudnicka, EXPANDING WORDNET WITH GLOSS AND Polysemy links for evocation strength recognition.pdf
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