DeepLENS: Deep Learning for Entity Summarization
Table 1: Average F1 over all the test entities. Significant and insignificant differences (p<0.01) between DeepLENS and each baseline are indicated by ▲ and ∘, respectively.
['[EMPTY]', 'DBpedia  [ITALIC] k=5', 'DBpedia  [ITALIC] k=10', 'LinkedMDB  [ITALIC] k=5', 'LinkedMDB  [ITALIC] k=10']
Comparison with Baselines. Our DeepLENS outperformed all the baselines including ESA. Moreover, two-tailed t-test showed that all the differences were statistically significant (p<0.01) in all the settings. DeepLENS achieved new state-of-the-art results on the ESBM benchmark. However, the notable gaps between DeepLENS and ORACLE suggested room for improvement and were to be closed by future research.