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A Multiengine NER System with Context Pattern Learning and Post-processing Improves System Performance

Published in International Journal of Computer Processing Of Languages • Jun 1, 2009
Authors:
Asif Ekbal
,
Sivaji Bandyopadhyay

Abstract

This paper reports on the development of a Named Entity Recognition (NER) system in Bengali by combining the outputs of the three classifiers, namely Maximum Entropy (ME), Conditional Random Field (CRF) and Support Vector Machine (SVM). A part of the Bengali news corpus developed from the web-archiv...

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