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    STUDIA INFORMATICA - Issue no. 2 / 2011  
         
  Article:   NAMED ENTITY RECOGNITION FOR ROMANIAN.

Authors:  ADRIAN IFTENE, DIANA TRANDABĂŢ.
 
       
         
  Abstract:  

This paper presents a Named Entity Recognition system for Romanian, created using linguistic grammar-based techniques and a set of resources. Our system’s architecture is based on two modules, the named entity identification and the named entity classification module. After the named entity candidates are marked for each input text, each candidate is classified into one of the considered categories, such as Person, Organiza- tion, Place, Country, etc. The system’s Upper Bound and its performance in real context are evaluated for each of the two modules (identification and classification) and for each named entity type. and classification) and for each named entity type.

Key words and phrases. named entity, information extraction.

 
         
     
         
         
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