Papers by YongHoon Kang

1 papers
STAGE: Simple Text Data Augmentation by Graph Exploration (2024.lrec-main)

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Challenge: Pre-trained language models (PLMs) are widely used for various tasks, but fine-tuning them requires sufficient data.
Approach: They propose a method for data augmentation that utilizes a word-relation graph to select optimal words for each modification.
Outcome: The proposed method is highly effective across diverse datasets and different PLMs.

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