h1

h2

h3

h4

h5
h6
001025018 001__ 1025018
001025018 005__ 20260303081818.0
001025018 0247_ $$2ISBN$$a978-3-69018-016-0
001025018 0247_ $$2datacite_doi$$a10.18154/RWTH-2026-00474
001025018 037__ $$aRWTH-2026-00474
001025018 041__ $$aEnglish
001025018 082__ $$a400 Sprache, Linguistik
001025018 1001_ $$0P:(DE-82)IDM07467$$aThelen, Christian Rene$$b0$$urwth
001025018 1112_ $$a21. Conference on Natural Language Processing$$cHannover$$d2025-09-09 - 2025-09-12$$gKONVENS 2025$$wGermany
001025018 245__ $$aAIxcellent Vibes at GermEval 2025 Shared Task on Candy Speech Detection: Improving Model Performance by Span-Level Training$$honline
001025018 260__ $$aHannover$$bHsH Applied Academics$$c2025
001025018 29510 $$aKONVENS : 21st Conference on Natural Language Processing (KONVENS 2025) : proceedings of the conference, 09.-12. September 2025 : volume 2 ; workshops / edited by Christian Wartena und Ulrich Heid
001025018 300__ $$a398–403
001025018 3367_ $$033$$2EndNote$$aConference Paper
001025018 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book
001025018 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib
001025018 3367_ $$2BibTeX$$aINPROCEEDINGS
001025018 3367_ $$2DRIVER$$aconferenceObject
001025018 3367_ $$2DataCite$$aOutput Types/Conference Paper
001025018 3367_ $$2ORCID$$aCONFERENCE_PAPER
001025018 588__ $$aDataset connected to DataCite
001025018 591__ $$aGermany
001025018 591__ $$aNetherlands
001025018 7001_ $$0P:(DE-82)1025115$$aBlaneck, Patrick Gustav$$b1$$urwth
001025018 7001_ $$aBornheim, Tobias$$b2
001025018 7001_ $$aGrieger, Niklas$$b3
001025018 7001_ $$aBialonski, Stephan$$b4$$eCorresponding author
001025018 8564_ $$uhttps://doi.org/10.25968/opus-3679$$yHomepage of book
001025018 8564_ $$uhttps://publications.rwth-aachen.de/record/1025018/files/1025018.pdf$$yOpenAccess
001025018 909CO $$ooai:publications.rwth-aachen.de:1025018$$popenaire$$popen_access$$pVDB$$pdriver$$pdnbdelivery
001025018 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM07467$$aRWTH Aachen$$b0$$kRWTH
001025018 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)1025115$$aRWTH Aachen$$b1$$kRWTH
001025018 9151_ $$0StatID:(DE-HGF)0031$$2StatID$$aPeer reviewed article$$x0
001025018 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001025018 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
001025018 9201_ $$0I:(DE-82)314520_20140620$$k314520$$lLehr- und Forschungsgebiet Ingenieurhydrologie$$x0
001025018 9201_ $$0I:(DE-82)022000_20140101$$k022000$$lIT Center$$x1
001025018 961__ $$c2026-01-13T16:09:44.522356$$x2026-01-12T23:09:40.568791$$z2026-01-14
001025018 9801_ $$aFullTexts
001025018 980__ $$aI:(DE-82)022000_20140101
001025018 980__ $$aI:(DE-82)314520_20140620
001025018 980__ $$aUNRESTRICTED
001025018 980__ $$aVDB
001025018 980__ $$acontb
001025018 980__ $$acontrib