Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders
Table 4: Human evaluation on Newsela and Wiki-Large. Ratings significantly different from our model are marked with ∗ (p<0.05) and ∗∗ (p<0.01). We use student t-test to perform significance tests
['[BOLD] Newsela', 'Fluency', 'Adequacy', 'Simplicity', 'Avg.']
Due to the limitations in automatic metrics, we also conduct human evaluation on two datasets. We randomly select 200 sentences generated by our systems and the baselines as test samples. Similar to previous work The three aspects are rated on a 5-point Likert Scale. We use our semi-supervised model to perform human evaluation.