Deep Learning-Based Classification of Pre-Qin Classics Questions
Wang Dongbo1, Gao Ruiqing1, Shen Si2, Li Bin3
1. College of Information Science and Technology, Nanjing Agricultural University, Nanjing, 210095; 2. School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094; 3. College of Literature, Nanjing Normal University, Nanjing, 210097
[1] 中共中央办公厅、国务院办公厅印发《关于实施中华优秀传统文化传承发展工程的意见》[EB/OL]. [2017-01-25]. http://www. gov.cn/zhengce/2017-01/25/content_5163472.html. [2] 教育部关于印发《普通高中课程方案和语文等学科课程标准(2017年版)》的通知[EB/OL]. [2018-01-25]. http://www.moe. edu.cn/srcsite/A26/s8001/201801/t20180115_324647.html. [3] 康海燕, 李飞娟, 苏文杰. 基于问句表征的web智能问答系统[J]. 北京信息科技大学学报(自然科学版), 2011, 26(1): 36-41. [4] 陈玉. 问答系统中问句分类算法研究[J]. 软件工程, 2015(11): 30-31. [5] 文勖, 张宇, 刘挺, 等. 基于句法结构分析的中文问题分类[J]. 中文信息学报, 2006, 20(2): 33-39. [6] 余正涛, 樊孝忠, 郭剑毅. 基于支持向量机的汉语问句分类[J]. 华南理工大学学报(自然科学版), 2005, 33(9): 25-29. [7] 张亮, 黄河燕, 胡春玲. 基于Ontology的中文问答系统问题分类研究[J]. 中国图书馆学报, 2006, 32(2): 60-65. [8] 孙景广, 蔡东风, 吕德新, 等. 基于知网的中文问题自动分类[J]. 中文信息学报, 2007, 21(1): 90-95.贾可亮, 樊孝忠, 许进忠. 基于KNN的汉语问句分类[J]. 微电子学与计算机, 2008, 25(1): 156-158. [9] 刘颖, 韩杰, 滕至阳, 等. 基于支持向量机的问句分析[J]. 计算机技术与发展, 2007, 17(8): 1-4. [10] 张雪芬, 李德玉, 王素格, 等. 基于统计方法的面向旅游问句分类实验研究[J]. 电脑开发与应用, 2009, 22(1): 14-16. [11] 郭海红, 李姣, 代涛. 中文健康问句分类与语料构建[J]. 情报工程, 2016, 2(6): 39-49. [12] Sarrouti M, Ouatik E A S. A machine learning-based method for question type classification in biomedical question answering[J]. Methods of Information in Medicine, 2017, 56(3): 209. [13] Xiao G, Mo J, Chow E, et al.Multi-task CNN for classification of Chinese legal questions[C]// Proceedings of the 2017 IEEE 14th International Conference on e-Business Engineering. IEEE, 2017: 84-90. [14] 欧石燕. 基于文本蕴涵的受限领域自动问答方法研究[J]. 情报学报, 2011, 30(5): 540-547. [15] 欧石燕, 唐振贵. 面向图书馆关联数据的自动问答技术研究[J]. 中国图书馆学报, 2015, 41(6): 44-60. [16] Zhou Z, Zhu X, He Z, et al.Question classification based on hybrid neural networks[C]// Advances in Computer Science Research. Atlantis Press, 2016: 44-52. [17] Chao L I, Chai Y M, Nan X F, et al.Research on problem classification method based on deep learning[J]. Computer Science, 2016, 43(12): 115-119. [18] Razzaghnoori M, Sajedi H, Jazani I K.Question classification in Persian using word vectors and frequencies[J]. Cognitive Systems Research, 2018, 47: 16-27. [19] Hsu C W, Lin C J.A comparison of methods for multi-class support vector machines[J]. IEEE Transacatuions on Netural networks, 2002, 13(23): 415-425. [20] Lafferty J, McCallum A, Pereira F. Conditional random fields: Probabilistic models for segmenting and labeling sequence data[C]// Proceedings of the Eighteenth International Conference on Machine Learning. Williamstown: Williams College, 2001: 282-289. [21] Schuster M, Paliwal K.Bidirectional recurrent neural networks[J]. IEEE Transactions on Signal Processing, 1997, 45(11): 2673-2681. [22] Hochreiter S, Schmidhuber J.Long short-term memory[J]. Neural Computation, 1997, 9(8): 1735-1780. [23] 任梦菲, 王鹏, 蔡恒进, 等. 股票领域中的一种中文问句分类方法[J]. 计算机科学与应用, 2011, 1(3): 134-139. [24] Srivastavan H, Krizhevsky A, et al.dropout: a simple way to prevent neural networks from overfitting[J]. Journal of Machine Learning Research, 2014, 15: 1929-1958.
