15 citations · 31 across the 6 of their papers we have counts for
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cs.CL2022
BootAug: Boosting Text Augmentation via Hybrid Instance Filtering Framework
Heng Yang, Ke Li
Text augmentation is an effective technique for addressing the problem of insufficient data in natural language processing. However, existing text augmentation methods tend to focu…
cs.CL2022★ 9 cited
PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis
Heng Yang, Chen Zhang, Ke Li
The advancement of aspect-based sentiment analysis (ABSA) has urged the lack of a user-friendly framework that can largely lower the difficulty of reproducing state-of-the-art ABSA…