Case Study of Named Entity Recognition in Odia Using Crf++ Tool
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 6
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.
Authors and Affiliations
Dr. Rakesh Balabantaray, Suprava Das, Kshirabdhi Mishra
Keywords
Related Articles
- EP ID EP151484
- DOI 10.14569/IJACSA.2013.040629
- Views 90
- Downloads 0
On Prospects of Development of Telecommunication Systems and Services based on Virtual Reality Technology
Virtual reality technologies are considered to be a basis and a promising development trend of telecommunication systems’ and services. New opportunities and sci-tech problems that need to be solved are currently undergo...
A Machine Learning based Fine-Tuned and Stacked Model: Predictive Analysis on Cancer Dataset
The earlier forecast and location of disease cells can be useful in curing the illness in medical applications. Knowledge discovery is having many significant roles in health sector, bioinformatics etc. Plenty of hidden...
Proposal for Scrambled Method based on NTRU
Scrambling is widely used to protect the security of data files such as text, image, video or audio files; however, it is not the most efficient method to protect the security of the data files. This article uses NTRU pu...
Design of A high performance low-power consumption discrete time Second order Sigma-Delta modulator used for Analog to Digital Converter
This paper presents the design and simulations results of a switched-capacitor discrete time Second order Sigma-Delta modulator used for a resolution of 14 bits Sigma-Delta analog to digital converter. The use of operati...
Segmentation Method for Pathological Brain Tumor and Accurate Detection using MRI
Image segmentation is challenging task in field of medical image processing. Magnetic resonance imaging is helpful to doctor for detection of human brain tumor within three sources of images (axil, corneal, sagittal). MR...