TY - JOUR
AU1 - Liou, Jiun-Wei
AU2 - Cheng, Wei-Chen
AU3 - Huang, Jau-Chi
AU4 - Liou, Cheng-Yuan
AB - This paper presents a novel training method for Elman network to encode the words in literary works. This network has been used in studying limited simple artificial sentences with varying degrees of success. This paper shows how to use it to process real-world works. Both word codes and network weights can be accomplished by the method. Each trained code is a distributed representation of its word. The training error can be drastically reduced by iteratively re-encoding the representations. Several distinct findings and results during the training process are reported.
TI - Distributed representation of word by using Elman network
JF - International Journal of Intelligent Information and Database Systems
DO - 10.1504/IJIIDS.2013.056337
DA - 2013-01-01
UR - https://www.deepdyve.com/lp/inderscience-publishers/distributed-representation-of-word-by-using-elman-network-zhstDwgGMV
SP - 373
EP - 386
VL - 7
IS - 4
DP - DeepDyve
ER -