A Neural Approach to Irony Generation
Table 2: Automatic evaluation results of the transformation from non-ironic sentences to ironic sentences.*
['Model', 'Senti Delta↓', 'Senti ACC↑', 'BLEU↑', '[BOLD] G2↑', '[BOLD] H2↑']
From the results, our model obtains the best result in sentiment delta. The DualRL model achieves the highest result in other metrics, but most of its outputs are the almost same as the input sentences. So it is reasonable that DualRL system outperforms ours in these metrics but it actually does not transfer the non-ironic sentences to ironic sentences at all. From this perspective, we cannot view DualRL as an effective model for irony generation. In contrast, our model gets results close to those of DualRL and obtains a balance between irony accuracy, sentiment preservation, and content preservation if we also consider the irony accuracy discussed below.