Naturalextractor performs the recognition and classification of
entities using a combination of linguistic analysis(full parsing), alphanumeric pattern detection and dictionaries(user dictionaries and Naturalextractor dictionaries, monolingual and multilingual ones).
Naturalextractor applies a normalization process to concepts by generating a standard form
in order to coherently handle all instances of the same concept(“the checking account”,“these checking accounts”,“one of my checking accounts”…).
In addition, thanks to our technology for linguistic analysis, Naturalextractor can assign various types to entities
depending on syntactic rules:“I live at Barack Obama”(place),“As Barack Obama said”(person), and detect entities even with absence of upper case:“I am in new york”.