Counterfactual data augmentation to speed up NLP data labeling

Counterfactual data augmentation to speed up NLP data labeling As algorithms grow more complex, they also grow hungry for more data, to be able to learn precisely the meaning of the sentence. In Text Classification task for example, the variety of words encountered allows for a much more resilient algorithm, especially when in production with … Continue reading Counterfactual data augmentation to speed up NLP data labeling