Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations

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dc.contributor.authorTalman, Aarne
dc.contributor.authorSuni, Antti
dc.contributor.authorCelikkanat, Hande
dc.contributor.authorKakouros, Sofoklis
dc.contributor.authorTiedemann, Jörg
dc.contributor.authorVainio, Martti
dc.contributor.editorHartmann, Mareike
dc.contributor.editorPlank, Barbara
dc.date.accessioned2023-09-22T13:35:41Z
dc.date.available2023-09-22T13:35:41Z
dc.date.issued2019
dc.identifier.issnISSN 1736-6305 (Online)
dc.identifier.urihttps://hdl.handle.net/10062/93010
dc.language.isoeng
dc.publisherTurku, Finland, Linköping University Electronic Press, pp. 281--290
dc.relation.ispartofProceedings of the 22nd Nordic Conference on Computational Linguistics
dc.rightsopenAccessen
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titlePredicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representationsen
dc.typeArticleen

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