STUDY OF NAMED ENTITY RECOGNITION FOR INDIAN LANGUAGES

Abstract

Named Entity Recognition is a prior task in Natural Language Processing. Named Entity Recognition is a sub task of information extraction and it identifies and classifies proper nouns in to its predefined categories such as person, location, organization, time, date etc. In this document the major focus is given on NER approaches and the work done till now for various languages to identify Named Entities is been discussed. Author have done comparative study to recognize named entity and identified that CRF approach proven best for Indian languages to identify named entity.