2 papers
cs.CL2024
Effective Unsupervised Constrained Text Generation based on Perturbed Masking
Yingwen Fu, Wenjie Ou, Zhou Yu +1
Unsupervised constrained text generation aims to generate text under a given set of constraints without any supervised data. Current state-of-the-art methods stochastically sample…
cs.CL2023
How to choose "Good" Samples for Text Data Augmentation
Xiaotian Lin, Nankai Lin, Yingwen Fu +2
Deep learning-based text classification models need abundant labeled data to obtain competitive performance. Unfortunately, annotating large-size corpus is time-consuming and labor…