Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding
Table 5: Aspect coverage evaluation on Amazon dataset.
['Models', '# aspects (real)', '# aspects (generated)', '# covered aspects']
Aspect Coverage Evaluation. A generated review is informative if it can effectively capture the semantic information of the real review. Recall that we have used topic models to tag each sentence with an aspect label (or ID). We analyze the average number of aspects in real and generated reviews, and compute on average how many aspects in real reviews are covered in generated reviews. As a comparison, ExpansionNet and our model perform better than LeakGAN by covering more real aspects, since the two models use the aspect information to instruct the review generation. Our model is better than ExpansionNet by characterizing the aspect transition sequences. These results indicate the usefulness of the aspect generation module in capturing more semantic information related to a review.