[1]张青,吕钊.基于主题扩展的领域问题分类方法[J].计算机工程,2016,42(9):202-207,213.
[2]张谦,高章敏,刘嘉勇.基于 Word2vec 的微博短文本分类研究[J].信息网络安全,2017(1):57-62.
[3]胡学钢,杨超群,张玉红.基于自身特征扩展的短文本分类方法[J].计算机应用研究,2017,34(4):1008-1010.
[4]KIM Y.Convolutional neural networks for sentence classification[C]//Proceedings of Conference on Empirical Methods in Natural Language Processing.Washington D.C.,USA:IEEE Press,2014:215-222.
[5]ZHANG X,ZHAO J,LECUN Y.Character-level convolutional networks for text classification[C]//Proceedings of International Conference on Neural Information Processing Systems.Washington D.C.,USA:IEEE Press,2015:649-657.
[6]TAI K S,SOCHER R,MANNING C D.Improved semantic representations from tree-structured long short-term memory networks[J].Computer Science,2015,5(1):36-40.
[7]SHI Y,YAO K,TIAN L,et al.Deep LSTM based feature mapping for query classification[C]//Proceedings of 2016 Conference of the North American Chapter of the Association for Computational Linguistics:Human Language Tech-nologies.Washington D.C.,USA:IEEE Press,2016:1501-1511.
[8]LAI S,XU L,LIU K,et al.Recurrent convolutional neural Networks for text classification[C]//Proceedings of AAAI’15.Washington D.C.,USA:IEEE Press,2015:2267-2273.
[9]ZHOU C,SUN C,LIU Z,et al.A C-LSTM neural network for text classification[J].Computer Science,2015,1(4):39-44.
[10]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.
[11]BAHDANAU D,CHO K,BENGIO Y.Neural machine translation by jointly learning to align and translate[C]//Proceedings of ICLR’14,Washington D.C.,USA:IEEE Press,2014:151-162.
[12]YANG Z,HE X,GAO J,et al.Stacked attention networks for image question answering[C]//Pro-ceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2015:321-332.
(下转第177页)
(上接第171页)
[13]YANG Z,YANG D,DYER C,et al.Hierarchical attention networks for document classification[C]//Proceedings of 2016 Conference of the North American Chapter of the Association for Computational Linguistics:Human Language Technologies.Washington D.C.,USA:IEEE Press,2016:154-165.
[14]胡新辰.基于LSTM的语义关系分类研究[D].哈尔滨:哈尔滨工业大学,2015.
[15]GE Z Y,MCCOOL C,SANDERSON C,et al.Exploiting temporal information for DCNN-based fine-grained object classification[C]//Proceedings of IEEE Conference on Computer Vision & Pattern Recognition.Washington D.C.,USA:IEEE Press,2016:1-3.
[16]MIKOLOV T,CHEN K,CORRADO G,et al.Efficient estimation of word representations in vector space[C]// Proceedings of Workshop at ICLR’13.Washington D.C.,USA:IEEE Press,2013:145-154.
[17]唐素勤,黄运有,王娜娜.基于依存语法及本体技术的问句分析[J].广西师范大学学报(自然科学版),2014,32(4):52-58.
[18]GREFENSTETTE G,MUCHEMI L.Determining the characteristic vocabulary for a specialized dictionary using word2vec and a directed crawler[EB/OL].[2017-10-21].http://cn.arxiv.org/abs/1605.09564. |