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It is shown that the usage of CRF weights in BERT-based architectures achieves noteworthy improvements in the overall NER task by approximately 12 %, and that in few-shot learning set-ups the effectiveness of CRF weights is much higher in smaller training sets.
Georgios Cheirmpos, Seyed Amin Tabatabaei, Evangelos Kanoulas et al.
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