[1] |
WANG S, MAZUMDER S, LIU B , et al. Target-sensitive Memory Networks for Aspect Sentiment Classification[C]//Proceedings of the 2018 56th Annual Meeting of the Association for Computational Linguistics. New York: ACL, 2018: 957-967.
|
[2] |
MA D H, Li S J, WANG H F . Joint Learning for Targeted Sentiment Analysis[C]//Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. New York: ACL, 2018: 4737-4742.
|
[3] |
LIU F, COHN T, BALDWIN T . Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis[C]//Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. New York: ACL, 2018: 278-283.
|
[4] |
CHEN P, SUN Z, BING L , et al. Recurrent Attention Network on Memory for Aspect Sentiment Analysis[C]//Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. New York: ACL, 2017: 452-461.
|
[5] |
TANG D, QIN B, LIU T . Aspect Level Sentiment Classification with Deep Memory Network[C]//Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. New York: ACL, 2016: 214-224.
|
[6] |
WANG Y, HUANG M, ZHU X , et al. Attention-based LSTM for Aspect-level Sentiment Classification[C]//Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. New York: ACL, 2016: 606-615.
|
[7] |
MA D H, LI S J, ZHANG X D , et al. Interactive Attention Networks for Aspect-level Sentiment Classification[C/OL]// [2019-05-26]. https://arxiv.org/pdf/1709.00893.pdf.
|
[8] |
MISHRA A, DEY K, BHATTACHARYYA P . Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification Using Convolutional Neural Network[C]//Proceedings of the 2017 55th Annual Meeting of the Association for Computational Linguistics. New York: ACL, 2017: 377-387.
|
[9] |
XUE W, LI T . Aspect Based Sentiment Analysis with Gated Convolutional Networks[C]//Proceedings of the 2018 56th Annual Meeting of the Association for Computational Linguistics. New York: ACL, 2018: 2514-2523.
|
[10] |
LI X, BING L, LAM W , et al. Transformation Networks for Target-oriented Sentiment Classification[C]//Proceedings of the 2018 56th Annual Meeting of the Association for Computational Linguistics. New York: ACL, 2018: 946-956.
|
[11] |
PENNINGTON J, SOCHER R, MANNING C D . Glove: Global Vectors for Word Representation[C]//Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing. New York: ACL, 2014: 1532-1543.
|
[12] |
Song Y W, Wang J H, Jiang T , et al. Attentional Encoder Network for Targeted Sentiment Classification[J/OL].[2019-05-26]. https://arxiv.org/pdf/1902.09314.pdf.
|
[13] |
刘道华, 崔玉爽, 赵岩松 , 等. 一种改进卷积神经网络的教学图像检索方法[J]. 西安电子科技大学学报, 2019,46(3):52-58.
|
|
LIU Daohua, CUI Yushuang, ZHAO Yansong , et al. Method for Retrieving the Teaching Image Based on the Improved Convolutional Neural Network[J]. Journal of Xidian University, 2019,46(3) : 52-58.
|
[14] |
陈珂, 梁斌, 柯文德 , 等. 基于多通道卷积神经网络的中文微博情感分析[J]. 计算机研究与发展, 2018,55(5 ): 945-957.
|
|
CHEN Ke, LIANG Bin, KE Wende , et al. Chinese Micro-blog Sentiment Analysis Based on Multi-channels Convolutional Neural Networks[J]. Journal of Computer Research and Development, 2018,55(5) : 945-957.
|