Boosting Dependency Parsing Performance by Incorporating Additional Features for Agglutinative Languages

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dc.contributor.authorAltıntaş, Mücahit
dc.contributor.authorTantuğ, A. Cüneyd
dc.date.accessioned2024-10-04T18:58:37Z
dc.date.available2024-10-04T18:58:37Z
dc.date.issued2022
dc.departmentBayburt Üniversitesien_US
dc.description2022 International Conference and Workshop on Agglutanative Language Technologies as a Challenge of Natural Language Processing, ALTNLP 2022 -- 7 June 2022 through 8 June 2022 -- Virtual, Online -- 185890en_US
dc.description.abstractIn recent studies, the use of language models has increased noticeably and has made quite good contributions. However, using the proper representation and taking into account the complementary components are still among the issues to be considered. In this research, the impact of sub-word level sentence piece based word representation on the performance of dependency parsing has been demonstrated for agglutinative languages. Furthermore, we propose to use the sentence representation that holds all meaning of the sentence as an additional feature to improve dependency parsing. Our proposed enhancements are experimented on nine agglutinative languages; Estonian, Finnish, Hungarian, Indonesian, Japanese, Kazakh, Korean, Turkish, and Uyghur. We found that the sentence piece based token encoding has contributed parsing performance for the majority of the experimented languages. Using the entire meaning of the sentence as a complementary feature has enhanced parsing performance for six languages out of nine. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).en_US
dc.identifier.endpage70en_US
dc.identifier.issn1613-0073
dc.identifier.scopus2-s2.0-85146119331en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage61en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12403/3922
dc.identifier.volume3315en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherCEUR-WSen_US
dc.relation.ispartofCEUR Workshop Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectagglutinative languagesen_US
dc.subjectdependency parsingen_US
dc.subjectsentence pieceen_US
dc.subjectsentence representationen_US
dc.titleBoosting Dependency Parsing Performance by Incorporating Additional Features for Agglutinative Languagesen_US
dc.typeConference Objecten_US

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