Iterated dilated convolutional neural networks for word segmentation

The latest development of neural word segmentation is governed by bi-directional Long Short-Term Memory Networks (Bi-LSTMs) that utilize Recurrent Neural Networks (RNNs) as standard sequence tagging models, resulting in expressive and accurate performance on large-scale dataset. However, RNNs are no...

Full description

Bibliographic Details

Published in:	Neural network world Vol. 30; no. 5; p. 333
Main Authors:	He. H., Yang, X, Wu L., Wang, G
Format:	Journal Article
Language:	English
Published:	Prague Czech Technical University in Prague, Faculty of Transportation Sciences 01.01.2020
Subjects:	Accuracy Artificial neural networks Datasets Graphics processing units Neural networks Recurrent neural networks Segmentation Source code
ISSN:	1210-0552, 2336-4335
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!