Abstract: NER have been regarded as an efficient strategy to extract relevant entities for various purposes. The aim of this paper is to exploit conventional method for NER in Odia by parameterizing CRF++ tool in different ways. As a case study, we have used gazetteer and POS tag to generate different feature set in order to compare the performance of NER task. Comparison study demonstrates how proposed NER system works on different feature set.

Dr.Rakesh ch. Balabantaray, Suprava Das and Kshirabdhi Tanaya Mishra, “Case Study of Named Entity Recognition in Odia Using Crf++ Tool” International Journal of Advanced Computer Science and Applications(IJACSA), 4(6), 2013. http://dx.doi.org/10.14569/IJACSA.2013.040629

@article{Balabantaray2013,
title = {Case Study of Named Entity Recognition in Odia Using Crf++ Tool},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.040629},
url = {http://dx.doi.org/10.14569/IJACSA.2013.040629},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {6},
author = {Dr.Rakesh ch. Balabantaray and Suprava Das and Kshirabdhi Tanaya Mishra}
}