DocumentCode
1936610
Title
Notice of Retraction
The sensitive feature selection for Chinese phrases
Author
Ying-Hong Liang ; Jin-xiang Li ; De-fu Zhou
Author_Institution
JiangSu Province Support Software Eng., R&D Center for Modern Inf. Technol. Applic. in Enterprise, Suzhou, China
Volume
1
fYear
2010
fDate
9-11 July 2010
Firstpage
138
Lastpage
141
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Traditional Chinese text chunking approach is to identify many phrases using only one model, and the same features are used to identify these phrases too. So the helpful features of each phrase are ignored. In fact, different phrases have different helpful features. In this paper, the concept of “sensitive feature” is proposed, and the sensitive features of seven Chinese types of phrases are selected by dynamic comparison strategy. Through testing on the Multi-agent Chinese chunking model, the selected sensitive features are effective.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Traditional Chinese text chunking approach is to identify many phrases using only one model, and the same features are used to identify these phrases too. So the helpful features of each phrase are ignored. In fact, different phrases have different helpful features. In this paper, the concept of “sensitive feature” is proposed, and the sensitive features of seven Chinese types of phrases are selected by dynamic comparison strategy. Through testing on the Multi-agent Chinese chunking model, the selected sensitive features are effective.
Keywords
natural language processing; text analysis; Chinese phrases; Chinese text chunking; Chinese types; dynamic comparison strategy; multiagent Chinese chunking model; sensitive feature selection; Variable speed drives; feature; phrase; shallow parsing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5563919
Filename
5563919
Link To Document