DanFEVER: claim verification dataset for Danish

Abstract

Automatic detection of false claims is a difficult task. Existing data to support this task has largely been limited to English. We present a dataset, DANFEVER, intended for claim verification in Danish. The dataset builds upon the task framing of the FEVER fact extraction and verification challenge. DANFEVER can be used for creating models for detecting mis- & disinformation in Danish as well as for verification in multilingual settings.

Jeppe Nørregaard

Postdoc

Jeppe researches in automatic misinformation, automatic verification, and machine learning.

Leon Derczynski

Associate professor

My research interests include NLP for misinformation detection and verification, clinical record processing, online harms, and efficient AI.