BriefGPT.xyz
Apr, 2014
建模句子的卷积神经网络
A Convolutional Neural Network for Modelling Sentences
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Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom
TL;DR
本文介绍了一种称为动态卷积神经网络的卷积架构,它使用动态k-Max池化进行句子的语义建模,并通过四项实验(二进制和多类情感预测,六路问题分类和推特情感预测)展示了出色的表现。
Abstract
The ability to accurately represent sentences is central to language understanding. We describe a convolutional architecture dubbed the
dynamic convolutional neural network
(DCNN) that we adopt for the
semantic modellin
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