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| A Hybrid Oriya Named Entity Recognition system:
Harnessing the Power of Rule
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Full
text: |
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Source |
International Journal of Artificial Intelligence and Expert Systems (IJAE) |
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Table of Contents |
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Complete Issue PDF(588.41KB) |
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Volume: 1 Issue: 1 |
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Pages: 1-6 |
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Publication
Date: May 2010 |
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ISSN
(Online): 2180-124X |
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Pages |
1 - 6 |
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Author(s) |
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Published
Date |
01-04-2010 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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| 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. |
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| 1 |
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Oliver Bender, Franz Josef Och and Hermann Ney, Maximum Entropy Models for Named Entity Recognition In: Proceedings of CoNLL- 2003, Edmonton, Canada, 2003 pp.148-151.
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Borthwick Andrew. 1999. A Maximum Entropy Approach to Named Entity Recognition. Ph.D.thesis, Computer Science Department, New York University.
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Cucerzan Silviu and Yarowsky David. 1999. Language Independent Named Entity Recognition Combining Morphological and Contextual Evidence. In Proceedings of the Joint SIGDAT Conference on EMNLP and VLC 1999, 90–99.
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Li Wei and McCallum Andrew. 2004. Rapid Development of Hindi Named Entity Recognition using Conditional Random Fields and Feature Induction (Short Paper).In ACM Transactions on Computational Logic.
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McDonald R., Crammer K. and Pereira F. 2005. Flexible text segmentation with structured multilabel classification. In Proceedings of EMNLP05.
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Srihari R., Niu C. and Li W. 2000. A Hybrid Approach for Named Entity and Sub-Type Tagging. In Proceedings of the sixth conference on Applied natural language processing.
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| Sitanath Biswas : Colleagues
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| S. P. Mishra : Colleagues
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| S Acharya : Colleagues
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| S Mohanty : Colleagues
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