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	Investigating Capsule Networks with Dynamic Routing for Text Classification
	Wei Zhao; Jianbo Ye; Min Yang; Zeyang Lei; Soufei Zhang; Zhou Zhao
	2018
会议日期	2018
会议地点	比利时
英文摘要	In this study, we explore capsule networks with dynamic routing for text classifica- tion. We propose three strategies to sta- bilize the dynamic routing process to al- leviate the disturbance of some noise cap- sules which may contain “background” in- formation or have not been successfully trained. A series of experiments are con- ducted with capsule networks on six text classification benchmarks. Capsule net- works achieve competitive results over the compared baseline methods on 4 out of 6 datasets, which shows the effectiveness of capsule networks for text classifica- tion. We additionally show that capsule networks exhibit significant improvement when transfer single-label to multi-label text classification over the competitors. To the best of our knowledge, this is the first work that capsule networks have been em- pirically investigated for text modeling1
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/14101]
专题	深圳先进技术研究院_数字所
推荐引用方式 GB/T 7714	Wei Zhao,Jianbo Ye,Min Yang,et al. Investigating Capsule Networks with Dynamic Routing for Text Classification[C]. 见:. 比利时. 2018.

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