Abstract: Temporal (one-dimensional) Convolutional Neural Network (Temporal CNN, ConvNet) is an emergent tech- nology for text understanding.
This article applies the character-level Convolutional Neural Network to Japanese text understanding and attempts to reuse meaningful representations that�...
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Jun 15, 2018 � READING NOTES: Japanese Text Classification by Character-level Deep ConvNets and Transfer Learning (Sato et.al). less than 1 minute read.
27 References ; Japanese Text Classification by Character-level Deep ConvNets and Transfer Learning � Minato SatoR. OriharaY. SeiYasuyuki TaharaAkihiko Ohsuga.
In this article we apply the character-level ConvNets to Japanese text understanding. We also attempt to reuse meaningful representations that are learned in�...
In this article we apply the character-level ConvNets to Japanese text understanding. We also attempt to reuse meaningful representations that are learned in�...
Bibliographic details on Japanese Text Classification by Character-level Deep ConvNets and Transfer Learning.
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Abstract: In recent years, it has become possible to perform text classification with high accuracy by using convolutional neural networks (CNNs).
Missing: ConvNets | Show results with:ConvNets
We apply CNNs to over-segmentation and geometric context modeling in addition to character recognition.By training NNLMs on large corpus and integrating CNN�...