Dictionary-Guided Editing Networks for Paraphrase Generation
Table 2: Results on Quora dataset. Higher BLEU and METEOR score is better. Scores of the methods marked with * are taken from [Gupta et al.2017].
['[BOLD] Model', '[BOLD] Beam size', '[BOLD] BLEU', '[BOLD] METEOR']
For this dataset, we compare the results of our approach with existing approaches at greedy search and beam search. The results demonstrate that our proposed model outperforms other models at the non-beam search. For the greedy search, the dictionary-guided editing networks model is able to give a 1.3 performance improvement for BELU and 3.7 improvement for the METEOR metric over the state-of-the-art one. For beam size of 10, our model outperforms other models in the Quora dataset except the VAE-SVG-eq model, in which beam search gives an 11% absolute point performance improvement in the BLEU score. For the Quora dataset, beam search does not give such a significant improvement in our model. Comparison between two models is significant at 95% CI, if the difference in their score is more than 0.2 in BLEU and 0.1 in METEOR for Quora dataset.