These examples are noisy and biased, but nevertheless they improve lemmatization accuracy on all ten languages both in low (1k) and medium (10k) resource settings.
we showed that context is helpful, both overall and especially on unseen words-the first work we know of to demonstrate improvements from context in a very low-resource setting.