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

Research of Information Extraction Algorithm based on 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

2 Author(s)
Cai Lan Zhou ; Computer & Science Technology Department, Wuhan University of Technology, Hubei, China ; Shasha Li

Based on the research of Web Information Extraction Algorithm of Hidden Markov Model, this paper focus on the application of HMM in text information extraction, and improved methods of information extraction with constructing granularity refined DOM tree combined with regular expression to extract detailed information points. At the same time, we smooth the probability of unknown observations. Test result show that, the improved HMM has better extraction performance.

Published in:

Information Science and Engineering (ICISE), 2010 2nd International Conference on

Date of Conference:

4-6 Dec. 2010

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.