DocumentCode
530464
Title
Quantized peer review based on semantic neural network
Author
Pang, Huanli ; Liu, Le ; Wu, Qiong
Author_Institution
Coll. of Comput. Sci. & Eng., Changchun Univ. of Technol., Changchun, China
Volume
1
fYear
2010
fDate
24-26 Aug. 2010
Firstpage
169
Lastpage
171
Abstract
Peer review as an evaluation of paper quality of “Sciencepaper Online”, it is an important link of its quantity. Due to the peer review is natural language, use semantic neural network quantized peer review is put forward in this paper. That, parsing the surface semantic analysis of peer review to establish the semantic neural network, and the deep-seated semantic computing of peer review, win the quantized result finally.
Keywords
natural languages; neural nets; peer-to-peer computing; program compilers; natural language; quantized peer review; sciencepaper online paper quality; semantic neural network; surface semantic analysis; Biological neural networks; Book reviews; Humans; natural language understanding; peer review; the deep-seated semantic; the surface semantic;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4244-7957-3
Type
conf
DOI
10.1109/CMCE.2010.5609627
Filename
5609627
Link To Document