Referenced Items are not available for this document.
The article discusses methods of improving the ways of applying balanced random forests (BRFs), a machine learning classification algorithm, used to extract definitions from written texts. These methods include different approaches to selecting attributes, optimising the classifier prediction threshold for the task of definition extraction and initial filtering by a very simple grammar.
Published in:
Computer Science and Information Technology, 2008. IMCSIT 2008. International Multiconference on
Date of Conference: 20-22 Oct. 2008
- Page(s):
- 353 - 357
- Print ISBN:
- 978-83-60810-14-9
- INSPEC Accession Number:
- 10454302
- Conference Location :
- Wisia
- Digital Object Identifier :
- 10.1109/IMCSIT.2008.4747264
- Product Type:
- Conference Publications
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 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
