MAG: Multilingual Entity Linking
Table 3. Fine-grained micro F1 evaluation.
['[BOLD] Filter', '[BOLD] IITB', '[BOLD] N3-RSS-500', '[BOLD] MSNBC', '[BOLD] Spotlight', '[BOLD] N3-Reuters-128', '[BOLD] OKE 2015']
For this evaluation, we used the same set of parameters as for the English evaluation. The fine-grained analysis shows that MAG is better at linking persons than other types of entities. This can be explained by the indexes created by MAG in the offline phase. They collect last names and rare surfaces for entities.