Annemarie Money, Alex Hall, Danielle Harris, Charlotte Eost-Telling, Jane McDermott, Chris Todd
Barriers to and Facilitators of Older People's Engagement With Web-Based Services: Qualitative Study of Adults Aged >75 Years
JMIR aging
natural language processing nlp one captivating applications deep learning survey consider data augmentation training strategy aid development begin major motifs data augmentation summarized strengthening local decision boundaries brute force training causality counterfactual examples distinction meaning form follow motifs concrete list augmentation frameworks developed text data deep learning generally struggles measurement generalization characterization overfitting highlight studies cover augmentations construct test sets generalization nlp early stage applying data augmentation compared computer vision highlight key differences promising ideas yet tested nlp sake practical implementation describe tools facilitate data augmentation use consistency regularization controllers offline online augmentation pipelines preview finally discuss interesting topics around data augmentation nlp taskspecific augmentations use prior knowledge selfsupervised learning versus data augmentation intersections transfer multitask learning ideas aigas aigenerating algorithms hope paper inspires research interest text data augmentation