Efficient text generation of user-defined topic using generative adversarial networks
Table 1: The ROUGE-L score for each system. UD-GAN(G+S) represents initial training and UD-GAN(S) represents following training. UD-GAN(G) only has discriminator-general and generator. Note that this score is the sum of all generated sentences’ ROUGE-L results.
['[BOLD] GAN-based models', '[BOLD] ROUGE-L']
In this paper, we report the sum of ROUGE-L scores of all sentences. Based on the longest common subsequence, ROUGE-L is a score related to recall rate.