文章基本信息

标题：A Hybrid Oriya Named Entity Recognition system: Harnessing the Power of Rule
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作者：Mr. Sitanath Biswas ; Mr. S. P. Mishra ; Mr. S Acharya 等
期刊名称：International Journal of Artificial Intelligence and Expert Systems (IJAE)
电子版ISSN：2180-124X
出版年度：2010
卷号：1
期号：1
页码：1-6
出版社：Computer Science Journals
摘要：This paper describes a hybrid system that applies maximum entropy (MaxEnt) model with Hidden Markov model (HMM) and some linguistic rules to recognize name entities in Oriya language. The main advantage of our system is, we are using both HMM and MaxEnt model successively with some manually developed linguistic rules. First we are using MaxEnt to identify name entities in Oriya corpus, and then tagging them temporary as reference. The tagged corpus of MaxEnt now regarded as a training process for HMM. Now we use HMM for final tagging. Our approach can achieve higher precision and recall, when providing enough training data and appropriate error correction mechanism.