25 citations · 30 across the 12 of their papers we have counts for
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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
Creolizing the Web
Abhinav Tamaskar, Roy Rinberg, Sunandan Chakraborty +1
The evolution of language has been a hotly debated subject with contradicting hypotheses and unreliable claims. Drawing from signalling games, dynamic population mechanics, machine…