dc.contributor.author | Doan, Tu My | |
dc.contributor.author | Baumgartner, David | |
dc.contributor.author | Kille, Benjamin Uwe | |
dc.contributor.author | Gulla, Jon Atle | |
dc.date.accessioned | 2024-04-24T08:21:46Z | |
dc.date.available | 2024-04-24T08:21:46Z | |
dc.date.created | 2024-04-16T22:13:15Z | |
dc.date.issued | 2024 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | https://hdl.handle.net/11250/3127867 | |
dc.description.abstract | We introduce three resources to support research on political texts in Scandinavia. The encoder-decoder transformer models sp-t5 and sp-t5-keyword were trained on political texts. The nor-pvi (available at https://tinyurl.com/nor-pvi) data set comprises political viewpoints, stances, and summaries for Norwegian. Experiments with four distinct tasks show that large-scale models, such as nort5 perform slightly better. Still, sp-t5 and sp-t5-keyword perform almost on par and require much less data and computation. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Springer | en_US |
dc.title | Automatically Detecting Political Viewpoints in Norwegian Text | en_US |
dc.title.alternative | Automatically Detecting Political Viewpoints in Norwegian Text | en_US |
dc.type | Journal article | en_US |
dc.description.version | submittedVersion | en_US |
dc.source.journal | Lecture Notes in Computer Science (LNCS) | en_US |
dc.identifier.doi | 10.1007/978-3-031-58547-0_20 | |
dc.identifier.cristin | 2262179 | |
cristin.ispublished | true | |
cristin.fulltext | preprint | |
cristin.qualitycode | 1 | |