2022
Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition
EMNLP 2022main
In this work, we take the named entity recognition task in the English language as a case study and explore style transfer as a data augmentation method to increase the size and diversity of training data in low-resource scenarios. We propose a new method to effectively transform the text from a hig…