BriefGPT.xyz
Jun, 2016
使用带有高速公路层的循环卷积神经网络学习文本表示
Learning text representation using recurrent convolutional neural network with highway layers
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Ying Wen, Weinan Zhang, Rui Luo, Jun Wang
TL;DR
本文介绍了一种结合循环卷积神经网络（RCNN）和高速公路模块的混合模型，并将其在情感分析任务上进行了实验。实验结果表明，该模型在长文本序列任务上具有较好的表现。
Abstract
Recently, the rapid development of
word embedding
and
neural networks
has brought new inspiration to various NLP and IR tasks. In this paper, we describe a staged hybrid model combining Recurrent Convolutional
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