Cart (Loading....) | Create Account
Close category search window
 

Text Information Extraction Based on Genetic Algorithm and Hidden Markov Model

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Rong Li ; Dept. of Comput., Xinzhou Teachers'' Coll., Xinzhou ; Jia-heng Zheng ; Chun-qin Pei

Since the traditional training method of HMM for text information extraction is sensitive to the initial model parameters and easy to converge to a local optimal model in practice ,a novel hybrid model of genetic algorithm (GA) and hidden Markov model (HMM) for text information extraction is presented. During the parameter training phase, the hybrid method combines GA and Baum-Welch algorithm to optimize HMM parameters globally. In the selection process of the HMM initial parameters, the hybrid method adopts GA which uses real number matrix encoding as the representation of the chromosomes and the likelihood values as the fitness values, and then utilizes a modified Baum-Welch algorithm to reevaluate parameters and construct HMM. And during the information extraction phase, an improved Viterbi algorithm is presented to obtain the optimal state sequence of test sample for text information extraction. Experimental results show that the new algorithm improves the performance in precision and recall.

Published in:

Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on  (Volume:1 )

Date of Conference:

7-8 March 2009

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.