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Fine-tuning BERT for Low-Resource Natural Language Understanding via Active Learning
Recently, leveraging pre-trained Transformer based language models in down stream, task specific models has advanced state of the art results in natural language understanding tasks.
Low-Resource Text Classification using Domain-Adversarial Learning
Deep learning techniques have recently shown to be successful in many natural language processing tasks forming state-of-the-art systems.
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