NorEventGen: generative event extraction from Norwegian news

dc.contributor.authorYou, Huiling
dc.contributor.authorTouileb, Samia
dc.contributor.authorVelldal, Erik
dc.contributor.authorØvrelid, Lilja
dc.contributor.editorJohansson, Richard
dc.contributor.editorStymne, Sara
dc.coverage.spatialTallinn, Estonia
dc.date.accessioned2025-02-19T09:10:46Z
dc.date.available2025-02-19T09:10:46Z
dc.date.issued2025-03
dc.description.abstractIn this work, we approach event extraction from Norwegian news text using a generation-based approach which formulates the task as text-to-structure generation. We present experiments assessing the effect of different modeling configurations and provide an analysis of the model predictions and typical system errors. Finally, we apply our system to a large corpus of raw news texts and analyze the resulting distribution of event structures in a fairly representative snap-shot of the Norwegian news landscape.
dc.identifier.urihttps://hdl.handle.net/10062/107272
dc.language.isoen
dc.publisherUniversity of Tartu Library
dc.relation.ispartofseriesNEALT Proceedings Series, No. 57
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleNorEventGen: generative event extraction from Norwegian news
dc.typeArticle

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