[1]BENGIO Y,DUCHARME R,VINCENT P,et al.A neural probabilistic language model[J].Journal of Machine Learning Research,2003,3(6):1137-1155.
[2]黄文明,莫阳.基于文本加权KNN算法的中文垃圾短信过滤[J].计算机工程,2017,43(3):193-199.
[3]黄磊,杜昌顺.基于递归神经网络的文本分类研究[J].北京化工大学学报(自然科学版),2017,44(1):98-104.
[4]殷亚博,杨文忠,杨慧婷,等.基于卷积神经网络和KNN的短文本分类算法研究[J].计算机工程,2018,44(7):193-198.
[5]夏从零,钱涛,姬东鸿,等.基于事件卷积特征的新闻文本分类[J].计算机应用研究,2017(4):991-994.
[6]张冲.基于Attention-Based LSTM模型的文本分类技术的研究[D].南京:南京大学,2016.
[7]QIAN Y,WOODLAND P C.Very deep convolutional neural networks for robust speech recognition[C]//Proceedings of 2016 IEEE Spoken Language Technology Workshop.Washington D.C.,USA:IEEE Press,2016:481-488.
[8]SIMONYAN K,ZISSERMAN A.Very deep convolutional networks for large-scale image recognition[EB/OL].[2017-09-10].http://x-algo.cn/wp-content/uploads/2017/01/VERY-DEEP-CONVOLUTIONAL-NETWORK-SFOR-LARGE-SCALE-IMAGE-RECOGNITION.pdf.
[9]HE K,ZHANG X,REN S,et al.Deep residual learning for image recognition[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2016:770-778.
[10]KRIZHEVSKY A,SUTSKEVER I,HINTON G E.ImageNet classification with deep convolutional neural networks[C]//Proceedings of International Conference on Neural Information Processing Systems.[S.l.]:Curran Associates Inc.,2012:1097-1105.
[11]IOFFE S,SZEGEDY C.Batch normalization:accelerating deep network training by reducing internal covariate shift[C]//Proceedings of International Conference on Machine Learning.Washington D.C.,USA:IEEE Press,2015:448-456.
[12]LAI S,XU L,LIU K,et al.Recurrent convolutional neural networks for text classification[C]//Proceedings of the 29th AAAI Conference on Artificial Intelligence.[S.l.]:AAAI Press,2015:2267-2273.
[13]YANG Z,YANG D,DYER C,et al.Hierarchical attention networks for document classification[EB/OL].[2017-09-10].http://www.m-mitchell.com/NAACL-2016/NAACL-HLT2016/pdf/N16-1174.pdf.
[14]ZHANG X,ZHAO J,LECUN Y.Character-level convolutional networks for text classification[C]//Proceedings of NIPS’15.Cambridge,USA:MIT Press,2015:649-657.
[15]周庆平,谭长庚,王宏君,等.基于聚类改进的KNN文本分类算法[J].计算机应用研究,2016,33(11):3374-3377.
[16]ZHOU C,SUN C,LIU Z,et al.A C-LSTM neural network for text classification[J].Computer Science,2015,1(4):39-44.
[17]蔡慧苹.基于卷积神经网络的短文本分类方法研究[D].重庆:西南大学,2016.
[18]LIU P,QIU X,CHEN X,et al.Multi-timescale long short-term memory neural network for modelling sentences and documents[C]//Proceedings of Conference on Empirical Methods in Natural Language Processing.Washington D.C.,USA:IEEE Press,2015:2326-2335.
[19]WANG P,XU B,XU J,et al.Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification[J].Neurocomputing,2016,174:806-814.
[20]李文波,孙乐,张大鲲.基于Labeled-LDA模型的文本分类新算法[J].计算机学报,2008,31(4):620-627. |