Entity Resolution (ER) aims to identify and merge records that refer the same real-world entity. ER is typically employed as an expensive cleaning step on entire data before consuming it. Yet, determining which entities are useful once cleaned depends solely user's application, may need only a fraction of them. For instance, when dealing with Web data, we would like be able filter interest gath...

This paper describes a series of experiments in using logistic regression machine learning as a method for entity resolution. From these experiments the authors concluded that when a supervised ML algorithm is trained to classify a pair of entity references as linked or not linked pair, the evaluation of the model’s performance should take into account the transitive closure of its pairwise lin...