[1]马彬.事件关系识别关键技术研究[D].苏州:苏州大学,2014.
[2]赵妍妍,秦兵,车万中,等.中文事件抽取技术研究[J].中文信息学报,2008,22(1):3-8.
[3]LIU Mengyi,LIU Xin,LI Yan,et al.Exploiting feature hierarchies with convolutional neural networks for cultural event recognition[C]//Proceedings of IEEE International Conference on Computer Vision Workshop.Washington D.C.,USA:IEEE
Computer Society,2015:274-279.
[4]NGUYEN T H,CHO K,GRISHMAN R.Joint event extraction via recurrent neural networks[C]//Pro-ceedings of Conference of the North American Chapter of the Association for Computational Linguistics:Human Language Technologies.Washington
D.C.,USA:2016:300-309.
[5]仲兆满,刘宗田,周文,等.事件关系表示模型[J].中文信息学报,2009,23(6):56-60.
[6]杨雪蓉,洪宇,马彬,等.基于核心词和实体推理的事件关系识别方法[J].中文信息学报,2014,28(2):100-108.
[7]丁硙,周枫,庙介璞,等.基于跨事件理论的新闻事件时序关系识别方法[J].计算机工程,2017,43(6):189-194.
[8]余凯,贾磊,陈雨强,等.深度学习的昨天、今天和明天[J].计算机研究与发展,2013,50(9):1799-1804.
[9]刘红光,马双刚,刘桂锋.基于降噪自动编码器的中文新闻文本分类方法研究[J].现代图书情报技术,2016,32(6):12-19.
[10]吴嘉伟,关毅,吕新波.基于深度学习的电子病历中实体关系抽取[J].智能计算机与应用,2014,4(3):35-38.
[11]付剑锋.面向事件的知识处理研究[D].上海:上海大学,2010.
[12]MIKOLOV T,SUTSKEVER I,CHEN K,et al.Distributed representations of words and phrases and their compositionality[J].Advances in Neural Info-rmation Processing Systems,2013,26:3111-3119.
[13]LIAN Peng,SHI Wenzhong,ZHANG Xiaokang.Remote sensing image classification based on stacked denoising autoencoder[J].Remote Sensing,2017,10(1):16.
[14]BUDIMAN A,FANANY M I,BASARUDDIN C.Stacked denoising autoencoder for feature representation learning in pose-based action recognition[C]//Proceedings of the 3rd IEEE Global Conference on Consumer Electronics.Washington D.C.,USA:IEEE Press,2014:684-688.
[15]LU Chen,WANG Zhenya,QIN Weili,et al.Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification[J].Signal Processing,2017,130(C):377-388.
|