Instead , we will adopt the nomenclature of the Automatic Content Extraction program ( NIST , 2004 ) : we will call the instances of textual references to objects/abstractions mentions , which can be either named ( e.g. John Mayor ) , nominal ( the president ) or pronominal ( she , it ) .
proceedings of ace evaluation and pi meeting
NIST
Usually , in computational linguistics literature , a named entity is an instance of a location , a person , or an organization , and the NER task consists of identifying each of these occurrences . Instead , we will adopt the nomenclature of the Automatic Content Extraction program ( NIST , 2004 ) : we will call the instances of textual references to objects/abstractions mentions , which can be either named ( e.g. John Mayor ) , nominal ( the president ) or pronominal ( she , it ) . An entity is the aggregate of all the mentions ( of any level ) which refer to one conceptual entity .
Instead , we will adopt the nomenclature of the Automatic Content Extraction program ( @@CITATION ) : we will call the instances of textual references to objects/abstractions mentions , which can be either named ( e.g. John Mayor ) , nominal ( the president ) or pronominal ( she , it ) .