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Tasks recognizing named entities such as products, people names, or locations from documents have recently received significant attention in the literature. Many solutions to these tasks assume the existence of reference entity tables. An important challenge that needs to be addressed in the entity extraction task is that of ascertaining whether or not a candidate string approximately matches with a named entity in a given reference table. Prior approaches have relied on string-based similaritydoi:10.1145/1526709.1526731 dblp:conf/www/ChaudhuriGX09 fatcat:oajzxpby35eabg3gk43pz4dmjm