Order-Planning Neural Text Generation From Structured Data
Table 4: Comparing different possible ways of using field information. “None”: No field information is fed back to the network, i.e., content-based attention computed by Equation 7 (with copying).
['[BOLD] Feeding field info to…', '[BOLD] BLEU', '[BOLD] ROUGE', '[BOLD] NIST']
that feeding field information to the computation of αcontent interferes content attention and leads to performance degradation, and that feeding it to decoder RNN slightly improves model performance. However, both controlled experiments are worse than the proposed method. The results confirm that our order-planning mechanism is indeed useful in modeling the order of fields, outperforming several other approaches that use the same field information in a naïve fashion.