Give your Text Representation Models some Love: the Case for Basque
Table 5: Basque NER results on EIEC corpus.
['[EMPTY]', '[BOLD] Precision', '[BOLD] Recall', '[BOLD] F1']
We can see that the BMC-trained models improve over the official models distributed by FastText, Flair and mBERT, with a much larger margin than for POS tagging. It is also worth mentioning that there is a nice balance between the precision and the recall obtained by both Flair-BMC and BERTeus. Finally, we think that the larger differences in performance between NER and POS tagging might be partially due to the small size of the EIEC NER corpus. In any case, more experimentation is required to clarify the issue.