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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Neural network world Jg. 30; H. 5; S. 333
Hauptverfasser:	He. H., Yang, X, Wu L., Wang, G
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Prague Czech Technical University in Prague, Faculty of Transportation Sciences 01.01.2020
Schlagworte:	Accuracy Artificial neural networks Datasets Graphics processing units Neural networks Recurrent neural networks Segmentation Source code
ISSN:	1210-0552, 2336-4335
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!