Title :
Chinese Chunk Recognition Using HMSVM Method
Author :
Zhong-Hua, Wang ; Hui, Qi
Author_Institution :
Dept. of Math., Taiyuan Normal Univ., Taiyuan, China
Abstract :
Hidden Markov Support Vector Machines is a novel structural SVMs model. Its efficiency has been proved in label sequence learning task such as English text chunking. In this paper, we treat Chinese chunk recognition as a label sequence learning problem. After giving the definition of Chinese chunk, we apply HMSVM to solve Chinese chunk problem. The results of experiment show that it achieves a better precision and recall.
Keywords :
character recognition; hidden Markov models; learning (artificial intelligence); natural language processing; support vector machines; text analysis; Chinese chunk recognition; English text chunking; SVM; hidden Markov support vector machines; label sequence learning; Feature extraction; Hidden Markov models; Speech; Statistical analysis; Support vector machines; Text recognition; Training; Chinese chunk; HMSVM; boundary recognition; label sequence learning;
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
DOI :
10.1109/AICI.2010.8
