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Data augmentation has been an important ingredient for boosting performances of learned models. Prior data augmentation methods for few-shot text classification have led to great performance boosts. However, they have not been designed to capture the
Externí odkaz:
http://arxiv.org/abs/2112.11916
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:10894-10902
Data augmentation has been an important ingredient for boosting performances of learned models. Prior data augmentation methods for few-shot text classification have led to great performance boosts. However, they have not been designed to capture the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee0c0d1c64c08c3ed92791aff8a18021
https://doi.org/10.1609/aaai.v36i10.21336
https://doi.org/10.1609/aaai.v36i10.21336
