By Topic

Exploiting web features in Chinese relation extraction

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)
Wang Jin ; Xinglin Coll., Comput. Sci. & Technol., Nantong Univ., Nantong, China ; Chen Jian Ping ; Gu Xiang

Relation extraction is a form of information extraction, which finds predefined relations between pairs of entities in text. A Chinese relation extraction approach exploiting web features is proposed. Four web features are extracted from the web and the Wikipedia website. Experiments on the ACE 2005 Corpus show that the web features are effective, and high-quality websites generate more effective features.

Published in:

Computer Science and Automation Engineering (CSAE), 2012 IEEE International Conference on  (Volume:1 )

Date of Conference:

25-27 May 2012