Massive Multi-Document Summarization of Product Reviews with Weak Supervision
Table 7: ROUGE F1 scores on variants of our model and the baselines on the Toys and Camera categories.
['[EMPTY]', '[BOLD] Model', '[BOLD] Toys  [BOLD] ROUGE-1', '[BOLD] Toys  [BOLD] ROUGE-1', '[BOLD] Toys  [BOLD] ROUGE-2', '[BOLD] Toys  [BOLD] ROUGE-2', '[BOLD] Toys  [BOLD] ROUGE-L', '[BOLD] Toys  [BOLD] ROUGE-L', '[BOLD] Camera  [BOLD] ROUGE-1', '[BOLD] Camera  [BOLD] ROUGE-1', '[BOLD] Camera  [BOLD] ROUGE-2', '[BOLD] Camera  [BOLD] ROUGE-2', '[BOLD] Camera  [BOLD] ROUGE-L', '[BOLD] Camera  [BOLD] ROUGE-L']
We did not include the Music category because the FAS summarizer ran out of memory during the summary generation step. We find that the Camera, Electronics and Toys categories show certain resemblance, while the Books and DVDs categories have separate similarities. The latter group is different in nature from the former as reviews tend to provide less technical details, and more narrative descriptions.