Keyphrase Generation: A Text Summarization Struggle
Table 2: Full-match scores of predicted keyphrases by various methods
['[BOLD] Method', '[BOLD]  Hulth (500) Krapivin (400) Meng (20K) OAGK (100K)  [BOLD] F1@5', '[BOLD]  Hulth (500) Krapivin (400) Meng (20K) OAGK (100K)  [BOLD] F1@7', '[BOLD]  Hulth (500) Krapivin (400) Meng (20K) OAGK (100K)  [BOLD] F1@5', '[BOLD]  Hulth (500) Krapivin (400) Meng (20K) OAGK (100K)  [BOLD] F1@7', '[BOLD]  Hulth (500) Krapivin (400) Meng (20K) OAGK (100K)  [BOLD] F1@5', '[BOLD]  Hulth (500) Krapivin (400) Meng (20K) OAGK (100K)  [BOLD] F1@7', '[BOLD]  Hulth (500) Krapivin (400) Meng (20K) OAGK (100K)  [BOLD] F1@5', '[BOLD]  Hulth (500) Krapivin (400) Meng (20K) OAGK (100K)  [BOLD] F1@7']
From the unsupervised models, we see that Yake! is consistently better than TopicRank. The next two supervised models perform even better, with CopyRnn being discretely superior than Maui.