BriefGPT.xyz
Sep, 2017
学习上下文敏感的卷积滤波器 用于文本处理
Adaptive Convolutional Filter Generation for Natural Language Understanding
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Dinghan Shen, Martin Renqiang Min, Yitong Li, Lawrence Carin
TL;DR
本研究中提出一种使用小型元网络学习文本处理的上下文敏感卷积滤波器的方法，并将该框架进一步推广到模拟句子对，通过可视化学习的上下文敏感滤波器验证了所提出的框架的有效性。
Abstract
convolutional neural networks
(CNNs) have recently emerged as a popular building block for
natural language processing
(NLP). Despite their success, most existing CNN models employed in NLP are not expressive eno
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