By Topic

Identification and extraction of topic elements for Chinese interactive text

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
$33 $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

4 Author(s)
Haiping Zhu ; Dept. of Comput. Sci. & Technol., Xi''an Jiaotong Univ., Xi''an, China ; Yang Yang ; Yan Chen ; Xiaolu Yu

This paper is based on identification and extraction of topic elements for Chinese interactive text. A topic segmentation method based on time sequence is achieved. Then a novel identification and extraction algorithm of topic elements is proposed. Firstly, noise filtering and Chinese word segmentation on the original corpus are executed. Secondly, the identifying and extracting method in group of mixed turn is used to extract the topic elements, such as time, place and figure. Finally, performance evaluation of identification recall, identification accuracy and extraction accuracy are achieved. The experimental results show the effectiveness of the algorithm.

Published in:

Multimedia Technology (ICMT), 2011 International Conference on

Date of Conference:

26-28 July 2011