CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases
Table 5: Performance comparison of entity recognition and typing (using strict, micro and macro metrics [26]) on the three datasets.
['[BOLD] Method', '[BOLD] NYT S-F1', '[BOLD] NYT Ma-F1', '[BOLD] NYT Mi-F1', '[BOLD] Wiki-KBP S-F1', '[BOLD] Wiki-KBP Ma-F1', '[BOLD] Wiki-KBP Mi-F1', '[BOLD] BioInfer S-F1', '[BOLD] BioInfer Ma-F1', '[BOLD] BioInfer Mi-F1']
1. Performance on Entity Recognition and Typing. We apply our detection results (i.e., M) as input for other methods. the comparison results on the three datasets. Overall, CoType outperforms others on all metrics on all three datasets (e.g., it obtains a 8% improvement on Micro-F1 over the next best method on NYT dataset).