Paper: Disambiguation Of Proper Names In Text

ACL ID A97-1030
Title Disambiguation Of Proper Names In Text
Venue Applied Natural Language Processing Conference
Session Main Conference
Year 1997

Identifying the occurrences of proper names in text and the entities they refer to can be a difficult task because of the many- to-many mapping between names and their referents. We analyze the types of ambi- guity -- structural and semantic -- that make the discovery of proper names dif- ficult in text, and describe the heuristics used to disambiguate names in Nomina- tor, a fully-implemented module for proper name recognition developed at the IBM T.J. Watson Research Center. 1 Proper Name Identification in Natural Language Processing Text processing applications, such as machine trans- lation systems, information retrieval systems or natural-language understanding systems, need to identify multi-word expressions that refer to proper names of people, organizations, places, laws and other ...