Keyphrase Generation for Scientific Articles using GANs
Table 2: α-nDCG@5 metrics
['Model', 'Inspec', 'Krapivin', 'NUS', 'KP20k']
We also evaluated the models in terms of α-nDCG@5 (Clarke et al. 2008). The results are summarized in Table 2. Our model obtains the best performance on three out of the four datasets. The difference is most prevalent in KP20k, the largest of the four datasets, where our GAN model (at 0.85) is nearly 5% better than both the other baseline models.