Work

NorEventGen: generative event extraction from Norwegian news

Year: 2025

Type: article

Abstract: In 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.

Source: DSpace repository (University of Tartu)

Authors: You, Huiling, Touileb, Samia, Velldal, Erik, Øvrelid, Lilja

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6993040800

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