Turnitin
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Contextual augmentation: Data augmentation by words with paradigmatic relations
S Kobayashi - ar** contextsensitive lemmatizers is to improve performance
on unseen and ambiguous words. Yet previous systems have not carefully evaluated …
on unseen and ambiguous words. Yet previous systems have not carefully evaluated …
On the relation between linguistic typology and (limitations of) multilingual language modeling
A key challenge in cross-lingual NLP is develo** general language-independent
architectures that are equally applicable to any language. However, this ambition is largely …
architectures that are equally applicable to any language. However, this ambition is largely …