Effective Unsupervised Constrained Text Generation using Perturbed Masking
The proposed PMCTG framework leverages perturbed masking to effectively search for the best edit position and introduces multi-aspect scoring functions to select the optimal edit action, achieving state-of-the-art performance in unsupervised constrained text generation tasks.
