Papers by Jihong Guan

1 papers
EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification (2022.naacl-main)

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Challenge: Existing methods for data augmentation do not fully exploit the potential of DA in NLP.
Approach: They propose an easy and plug-in framework for data augmentation to support effective text classification.
Outcome: The proposed framework outperforms existing methods in most cases, but not using agent networks or pre-trained generation networks.

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