Enhancing Universal Dependency Treebanks: A Case Study

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dc.contributor.authorJoakim Nivre
dc.contributor.authorPaola Marongiu
dc.contributor.authorFilip Ginter
dc.contributor.authorJenna Kanerva
dc.contributor.authorSimonetta Montemagni
dc.contributor.authorSebastian Schuster
dc.contributor.authorMaria Simi
dc.contributor.organizationfi=kieli- ja puheteknologia|en=Language and Speech Technology|
dc.contributor.organization-code1.2.246.10.2458963.20.47465613983
dc.converis.publication-id37616993
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/37616993
dc.date.accessioned2022-10-28T14:38:54Z
dc.date.available2022-10-28T14:38:54Z
dc.description.abstract<p>We evaluate two cross-lingual techniques for adding enhanced dependencies to existing treebanks in Universal Dependencies. We apply a rule-based system developed for English and a data-driven system trained on Finnish to Swedish and Italian. We find that both systems are accurate enough to bootstrap enhanced dependencies in existing UD treebanks. In the case of Italian, results are even on par with those of a prototype language-specific system.<br /></p>
dc.format.pagerange102
dc.format.pagerange107
dc.identifier.isbn978-1-948087-78-0
dc.identifier.olddbid189465
dc.identifier.oldhandle10024/172559
dc.identifier.urihttps://www.utupub.fi/handle/11111/44587
dc.identifier.urlhttp://aclweb.org/anthology/W18-6012
dc.identifier.urnURN:NBN:fi-fe2021042827433
dc.language.isoen
dc.okm.affiliatedauthorGinter, Filip
dc.okm.affiliatedauthorKanerva, Jenna
dc.okm.discipline113 Computer and information sciencesen_GB
dc.okm.discipline113 Tietojenkäsittely ja informaatiotieteetfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA4 Conference Article
dc.relation.conferenceUniversal Dependencies Workshop
dc.source.identifierhttps://www.utupub.fi/handle/10024/172559
dc.titleEnhancing Universal Dependency Treebanks: A Case Study
dc.title.bookProceedings of the Second Workshop on Universal Dependencies (UDW 2018)
dc.year.issued2018

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