This paper describes a language-independent, scalable system for both challenges of crossdocument co-reference: name variation and entity disambiguation. We provide system results...
Object matching or object consolidation is a crucial task for data integration and data cleaning. It addresses the problem of identifying object instances in data sources referrin...
To investigate the problem of entity recognition, we deal with the creation of the so-called Entity Name System (ENS) which is an open, public back-bone infrastructure for the (Sem...
The SERF project at Stanford deals with the Entity Resolution (ER) problem, in which records determined to represent the same real-life "entities" (such as people or pro...
Recently, many advanced machine learning approaches have been proposed for coreference resolution; however, all of the discriminatively-trained models reason over mentions rather ...
Michael L. Wick, Aron Culotta, Khashayar Rohaniman...