卷积神经网络在自然语言处理中的应用

Ping Li, Jianping Li, Gongcheng Wang
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引用次数: 3

摘要

近年来,卷积神经网络(CNN)在计算机视觉等领域取得了一系列突破性的研究成果。CNN也被广泛应用于自然语言处理领域。本文详细介绍了卷积神经网络的基本结构、卷积层和池化层,总结了卷积神经网络在自然语言处理领域应用的研究进展。最后,总结了卷积神经网络在自然语言处理领域的发展问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Convolutional Neural Network in Natural Language Processing
In recent years, convolutional neural network (CNN)has made a series of breakthrough research results in the fields of computer vision and so on. CNN has been widely applied to the field of nature language processing too. In this paper, we review the basic structure, convolutional layer and pooling layer of convolutional neural networks in detail, and summarize the research progress of convolutional neural networks in the field of natural language processing applications. Finally, the development problem of convolutional neural networks in NLP field is summarized.
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