Papers by Timo Möller

1 papers
German’s Next Language Model (2020.coling-main)

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Challenge: In this paper we compare the performance of our deep transformer based language models to existing models.
Approach: They present a set of BERT and ELECTRA based German language models, GBERT and GELECTRE.
Outcome: The proposed models outperform the previous best models on NER and classification tasks but are prohibitively large for many.

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