Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification
Wang, Peng1; Xu, Bo1; Xu, Jiaming1; Tian, Guanhua1; Liu, Cheng-Lin1,2; Hao, Hongwei1
2016-01-22
发表期刊NEUROCOMPUTING
卷号174页码:806-814
文章类型Article
摘要Text classification can help users to effectively handle and exploit useful information hidden in large-scale documents. However, the sparsity of data and the semantic sensitivity to context often hinder the classification performance of short texts. In order to overcome the weakness, we propose a unified framework to expand short texts based on word embedding clustering and convolutional neural network (CNN). Empirically, the semantically related words are usually close to each other in embedding spaces. Thus, we first discover semantic cliques via fast clustering. Then, by using additive composition over word embeddings from context with variable window width, the representations of multi-scale semantic units(1) in short texts are computed. In embedding spaces, the restricted nearest word embeddings (NWEs)(2) of the semantic units are chosen to constitute expanded matrices, where the semantic cliques are used as supervision information. Finally, for a short text, the projected matrix(3) and expanded matrices are combined and fed into CNN in parallel. Experimental results on two open benchmarks validate the effectiveness of the proposed method. (C) 2015 Elsevier B.V. All rights reserved.
关键词Short Text Classification Clustering Convolutional Neural Network Semantic Units Word Embeddings
WOS标题词Science & Technology ; Technology
DOI10.1016/j.neucom.2015.09.096
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61203281 ; Hundred Talents Program of Chinese Academy of Sciences(Y3S4011D31) ; 61303172 ; 61403385)
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000367276900025
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/10583
专题数字内容技术与服务研究中心_听觉模型与认知计算
作者单位1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
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GB/T 7714
Wang, Peng,Xu, Bo,Xu, Jiaming,et al. Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification[J]. NEUROCOMPUTING,2016,174:806-814.
APA Wang, Peng,Xu, Bo,Xu, Jiaming,Tian, Guanhua,Liu, Cheng-Lin,&Hao, Hongwei.(2016).Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification.NEUROCOMPUTING,174,806-814.
MLA Wang, Peng,et al."Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification".NEUROCOMPUTING 174(2016):806-814.
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