NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
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NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation

2021-12-18
Data augmentation is an important component in the robustness evaluation of models in natural language processing (NLP) and in enhancing the diversity of the data they are trained on. In this paper, we present NL-Augmenter, a new participatory Pythonbased natural language augmentation framework which supports the creation of both transformations (modifications to the data) and filters (data splits according to specific features). We describe the framework and an initial set of 117...
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