Distributed representation of word

Authors:
Jau-Chi Huang;Wei-Chen Cheng;Cheng-Yuan Liou
Affiliations:
Department of Computer Science and Information Engineering, National Taiwan University, Taiwan, Republic of China;Department of Computer Science and Information Engineering, National Taiwan University, Taiwan, Republic of China and Institute of Statistical Science, Academia Sinica, Taiwan, Republic of China;Department of Computer Science and Information Engineering, National Taiwan University, Taiwan, Republic of China
Venue:
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part I
Year:
2011

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Abstract

We present a novel method to train the Elman network to learn literal works. This paper reports findings and results during the training process. Both codes and network weights are trained by using this method. The training error can be greatly reduced by iteratively re-encoding all words.