DocumentCode
1616502
Title
A new type of adaptive-network-based computational verb inference system
Author
Guo, Lisha ; Guo, Yi ; Yang, Tao
Author_Institution
Dept. of Electron. Eng., Xiamen Univ., Xiamen, China
fYear
2010
Firstpage
242
Lastpage
245
Abstract
The adaptive-network-based computational verb inference system (ANCVIS) is a kind of computational verb inference system implemented in adaptive networks. In this paper, a new type of ANCVIS, which uses trend-based computational verb similarities, is presented, and its learning algorithm is derived. Simulations show that the proposed model can tune system parameters well and yield reasonable results based on computational verb rules and input-output data pairs.
Keywords
backpropagation; computational linguistics; inference mechanisms; neural nets; adaptive network; computational verb inference system; computational verb rules; input-output data pairs; learning algorithm; trend-based computational verb similarities; Artificial neural networks; Cognition; Computer architecture; Humans; Neurons; Solids; Training; adaptive-network-based computational verb inference system; computational verb; neural network; trend-based computational verb similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
Anti-Counterfeiting Security and Identification in Communication (ASID), 2010 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6731-0
Type
conf
DOI
10.1109/ICASID.2010.5551488
Filename
5551488
Link To Document