[1] 李洋,陈毅恒,刘挺.微博信息传播预测研究综述[J].软件学报,2016,27(2):247-263.(LI Y, CHEN Y H, LIU T. Survey on predicting information propagation in microblogs[J]. Journal of Software, 2016,27(2):247-263) [2] CASTILLO C, MENDOZA M, POBLETE B. Information credibility on twitter[C]//Proceedings of the 20th International Conference on World Wide Web. New York:ACM, 2011:675-684. [3] KWON S, CHA M, JUNG K, et al. Prominent features of rumor propagation in online social media[C]//Proceedings of the 2013 IEEE 13th International Conference on Data Mining. Piscataway, NJ:IEEE, 2013:1103-1108. [4] MA J, GAO W, WEI Z, et al. Detect rumors using time series of social context information on microblogging websites[C]//Proceedings of the 24th ACM International on Conference on Information and Knowledge Management. New York:ACM, 2015:1751-1754. [5] ZHAO Z, RESNICK P, MEI Q. Enquiring minds:early detection of rumors in social media from enquiry posts[C]//Proceedings of the 24th International Conference on World Wide Web. New York:ACM, 2015:1395-1405. [6] MA J, GAO W, MITRA P, et al. Detecting rumors from microblogs with recurrent neural networks[C]//Proceedings of the 25th International Joint Conference on Artificial Intelligence. San Francisco, CA:Morgan Kaufmann, 2016:3818-3824. [7] 李彦冬, 郝宗波, 雷航. 卷积神经网络研究综述[J]. 计算机应用, 2016, 36(9):2508-2515.(LI Y D, HAO Z B, LEI H. Survey of convolutional neural network[J]. Journal of Computer Applications, 2016, 36(9):2508-2515.) [8] KRIZHEVSKY A, SUTSKEVER I, HINTON G E. ImageNet classification with deep convolutional neural networks[C]//Proceedings of the 25th International Conference on Neural Information Processing Systems. Cambridge, MA:MIT Press,2012:1097-1105. [9] DENG J, DONG W, SOCHER R, et al. ImageNet:a large-scale hierarchical image database[C]//Proceedings of the 2009 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway, NJ:IEEE, 2009:248-255. [10] DONAHUE J, HENDRICKS L A, GUADARRAMA S, et al. Long-term recurrent convolutional networks for visual recognition and description[C]//Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway, NJ:IEEE,2015:2625-2634. [11] VINYALS O, TOSHEV A, BENGIO S, et al. Show and tell:a neural image caption generator[C]//Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway, NJ:IEEE, 2015:3156-3164. [12] YIH W, HE X, MEEK C. Semantic parsing for single-relation question answering[C]//Proceedings of the 2014 Annual Meeting of the Association for Computational Linguistics. Stroudsburg:ACL, 2014:643-648. [13] SHEN Y, HE X, GAO J, et al. Learning semantic representations using convolutional neural networks for Web search[C]//Proceedings of the 23rd International Conference on World Wide Web. New York:ACM, 2014:373-374. [14] KIM Y. Convolutional neural networks for sentence classification[EB/OL].[2016-11-20]. http://www.aclweb.org/anthology/D14-1181.pdf. [15] KALCHBRENNER N, GREFENSTETTE E, BLUNSOM P. A convolutional neural network for modelling sentences[EB/OL].[2016-11-20].http://anthology.aclweb.org/P/P14/P14-1062.pdf. [16] COLLOBERT R, WESTON J. A unified architecture for natural language processing:deep neural networks with multitask learning[C]//Proceedings of the 25th International Conference on Machine Learning. New York:ACM, 2008:160-167. [17] COLLOBERT R, WESTON J, KARLEN M, et al. Natural language processing (almost) from scratch[J]. Journal of Machine Learning Research, 2011, 12(1):2493-2537. [18] 刘知远, 张乐, 涂存超, 等. 中文社交媒体谣言统计语义分析[J]. 中国科学:信息科学, 2015, 45(12):1536-1546.(LIU Z Y, ZHANG L, TU C C, et al. Statistical and semantic analysis of rumors in Chinese social media[J]. Scientia China:Informationis Sciences, 2015, 45(12):1536-1546.) |