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Processing unknown words is disproportionately important because of their high information con- tent. It is crucial in domains with specialist vocab- ularies where relevant training material is scarce, for example: …...

AbstractUnsupervised pretraining models have been shown to facilitate a wide range of downstream NLP applications. These models, however, retain some of the limitations of traditional static word embeddings. In particular, …...