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
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;
Conference_Titel :
Anti-Counterfeiting Security and Identification in Communication (ASID), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6731-0
DOI :
10.1109/ICASID.2010.5551488
