Learning Relational Dependency Networks for Relation Extraction
Table 9: Relation Factory vs RDN Results comparing Relation Factory (RF) with the RDN algorithm presented in this paper. Values in bold indicate superiour performance against the alternative approach.
['Relation', 'AUC ROC RF', 'AUC ROC RDN', 'Recall RF', 'Recall RDN', 'F1 RF', 'F1 RDN']
Relation factory (RF) RF is very conservative in its responses, making it very difficult to adjust the precision levels. To be most generous to RF, we present recall for all returned results (i.e., score >0).