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DanFEVER: claim verification dataset for Danish

Jeppe Nørregaard

Leon Derczynski

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Ingår i: Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa), May 31-June 2, 2021.

Linköping Electronic Conference Proceedings 178:47, s. 422-428

NEALT Proceedings Series 45:47, p. 422-428

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Publicerad: 2021-05-21

ISBN: 978-91-7929-614-8

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

We present a dataset, DanFEVER, intended for multilingual misinformation research. The dataset is in Danish and has the same format as the well-known English FEVER dataset. It can be used for testing methods in multilingual settings, as well as for creating models in production for the Danish language.

Nyckelord

dataset, baseline, NLP, claim verification, FEVER, classification, BERT, Danish

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