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ur-iw-hnt at GermEval 2021: An Ensembling Strategy with Multiple BERT Models

2021-10-05 13:48:20
Hoai Nam Tran, Udo Kruschwitz

Abstract

This paper describes our approach (ur-iw-hnt) for the Shared Task of GermEval2021 to identify toxic, engaging, and fact-claiming comments. We submitted three runs using an ensembling strategy by majority (hard) voting with multiple different BERT models of three different types: German-based, Twitter-based, and multilingual models. All ensemble models outperform single models, while BERTweet is the winner of all individual models in every subtask. Twitter-based models perform better than GermanBERT models, and multilingual models perform worse but by a small margin.

Abstract (translated)

URL

https://arxiv.org/abs/2110.02042

PDF

https://arxiv.org/pdf/2110.02042.pdf


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