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Automatically Detecting Political Viewpoints in Norwegian Text

  • Tu My Doan,
  • David Baumgartner,
  • Benjamin Kille,
  • Jon Atle Gulla

摘要

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.