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low-resource-text-classification-framework. Research framework for low resource text classification that allows the user to experiment with classification models and active learning strategies on a large number of sentence classification datasets, and to simulate real-world scenarios. The framework is easily expandable to new classification models, active learning strategies and datasets.

github.com/IBM/low-resource-text-classification-framework

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