Order-Planning Neural Text Generation From Structured Data
Table 3: Ablation test.
['[BOLD] Component', '[BOLD] BLEU', '[BOLD] ROUGE', '[BOLD] NIST']
The top half of the table shows the results without the copy mechanism, and the bottom half incorporates the copying score as described previously. We observe that the copy mechasnim is consistently effective with different types of attention. The results show that, link-based attention alone is not as effective as content-based attention. However, we achieve better performance if combining them together with an adaptive gate, i.e., the proposed hybrid attention. This implies that content-based attention and link-based attention do capture different aspects of information, and their hybrid is more suited to the task of table-to-text generation.