65 citations · 103 across the 5 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.CL2021★ 25 cited
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann +122
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…
cs.CL2021
Training Cross-Lingual embeddings for Setswana and Sepedi
Mack Makgatho, Vukosi Marivate, Tshephisho Sefara +1
African languages still lag in the advances of Natural Language Processing techniques, one reason being the lack of representative data, having a technique that can transfer inform…