Diverse, Controllable, and Keyphrase-Aware:A Corpus and Method for News Multi-Headline Generation
Table 1: Keyphrase Generation Results
['Method', 'EM@1', 'EM@3', 'EM@5', 'R@1', 'R@3', 'R@5']
Results. We can see that the EM@1 of TF-IDF is only 18.63%, but SLOT achieves 60.75%. Both of SEQ2SEQ and SLOT significantly outperform the TF-IDF in all metrics. SEQ2SEQ achieves comparable performances in EM@K, but performs worse than SLOT in R@K. SLOT achieves 83.18% EM@5 and 89.08% R@5. In the following experiments, we use SLOT to generate keyphrases for our keyphrase-aware news headline generation models.