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...

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Vydané v:	Neural network world Ročník 30; číslo 5; s. 333
Hlavní autori:	He. H., Yang, X, Wu L., Wang, G
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Prague Czech Technical University in Prague, Faculty of Transportation Sciences 01.01.2020
Predmet:	Accuracy Artificial neural networks Datasets Graphics processing units Neural networks Recurrent neural networks Segmentation Source code
ISSN:	1210-0552, 2336-4335
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