[1] Matsumura N, Matsuo Y, Ohsawa Y, et al. Discovering emerging topics from WWW[J]. Journal of Contingencies and Crisis Management, 2002, 10(2):73-81.
[2] 崔凯,周斌,贾焰,等. 一种基于LDA的在线主题演化挖掘模型[J]. 计算机科学,2010(11):156-159,193.
[3] 叶春蕾,冷伏海. 基于引文——主题概率模型的科技文献主题识别方法研究[J]. 情报理论与实践,2013(9):100-103.
[4] 王平. 基于层次概率主题模型的科技文献主题发现及演化[J]. 图书情报工作,2014,58(22):70-77.
[5] 邹杰利. 基于条件随机场的中文图书主题自动标引研究[D].南京:南京大学,2013.
[6] 孟令恩,李颖,何彦青,等. 基于语义角色标注的专利主题提取研究[J]. 图书情报工作,2014,58(19):19-24.
[7] Nallapati R, Mcfarland D A, Manning C D. Topic flow model:Unsupervised learning of topic-specific influences of hyperlinked documents[J].Journal of Machine Learning Research-Proceedings Track, 2011,15(1):543-551.
[8] [EB/OL]. [2015-01-10].http://blog.sina.com.cn/s/blog_4caedc7a0102eq8m.html.
[9] Havre S, Hetzler E, Whitney P, et al. ThemeRiver:Visualizing thematic changes in large document collections[J]. IEEE Transactions on Visualization and Computer Graphics, 2002, 8(1):9-20.
[10] Chi Huai-Hsin. Improving Web usability through visualization[J]. Internet Computing, 2002, 6(2):64-71.
[11] [EB/OL]. [2015-01-10].http://www.worldwidetelescope.org/.
[12] [EB/OL]. [2015-01-10].http://www.wolframalpha.com/.
[13] 杨选选,张蕾. 基于语义角色和概念图的信息抽取模型[J]. 计算机应用,2010(2):411-414.
[14] Beeferman D, Berger A, Lafferty J. Statistical models for text segmentation[J]. Machine Learning, 1999, 34(1-3):177-210.
[15] 汪红林,王红玲,周国栋. 基于依存关系的语义角色标注[J]. 计算机工程,2009(15):82-84.
[16] 李纲,戴强斌. 基于词汇链的关键词自动标引方法[J]. 图书情报知识,2011(3):67-71.
[17] Fabra J, Hernández S,Álvarez P, et al. A practical experience concerning the parallel semantic annotation of a large-scale data collection[C]//Proceedings of the 9th International Conference on Semantic Systems. New York:ACM, 2013:65-72.
[18] Alves da Silva M A, Teixeira Belloze K, Cavalcanti M C, et al. Agile semantic annotation of scientific texts at the biomedical scenario[C]//e-Science (e-Science), 2014 IEEE 10th International Conference on. Sao Paulo:IEEE, 2014:100-107.
[19] 张泽宇,李莉,谭凤,等. 基于语义的文档标注方法研究[J]. 计算机工程与科学,2013(9):151-156.
[20] 熊皓,刘群,吕雅娟. 联合语义角色标注和指代消解[J]. 中文信息学报,2013(6):58-68.
[21] 白如江,王晓笛,王效岳. 基于支持向量机和核心特征词的科技文献自动标引研究[J]. 情报理论与实践,2014(7):129-134.
[22] Tamilin A, Magnini B, Serani L. Context-driven semantic enrichment of Italian news archive[C]//Proceedings of the 7th International Conference on the Semantic Web:Research and Applications. Heraklion:Springer, 2010:364-378.
[23] Ciancarini P, Di Iorio A, Nuzzolese A G, et al. Semantic annotation of scholarly documents and citations[M]//AI* IA 2013:Advances in Artificial Intelligence. Turin:Springer, 2013:336-347.
[24] Blei D M, Ng A Y, Jordan M I. Latent Dirichlet allocation[J]. The Journal of Machine Learning Research, 2003(3):993-1022.
[25] 李保利,杨星. 基于LDA模型和话题过滤的研究主题演化分析[J]. 小型微型计算机系统,2012,33(12):2738-2743.
[26] Riedl M, Biemann C. TopicTiling:A text segmentation algorithm based on LDA[C]//Proceedings of ACL 2012 Student Research Workshop. Pennsylvania:ACM,2012:37-42.
[27] 胡吉明,陈果. 基于动态 LDA 主题模型的内容主题挖掘与演化[J]. 图书情报工作, 2014, 58(2):138-142.
[28] Guo Yufan, Silins I, Reichart R, et al. CRAB Reader:A tool for analysis and visualization of argumentative zones in scientific literature[C]//COLING 2012, 24th International Conference on Computational Linguistics. Mumbai:Indian Institute of Technology Bombay, 2012. 183-190.
[29] Hirohata K, Okazaki N, Ananiadou S, et al. Identifying sections in scientific abstracts using conditional random fields[C]//Proceedings of The 3rd International Joint Conference on Natural Ianguage Processing.Hyderabad:Asian Federation of Natural Language Processing,2008. 381-388.
[30] Basili R, Moschitti A, Pazienza M T. A text classifier based on linguistic processing[OL].[2015-04-20].http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.39.5608&rep=rep1&type=pdf.
[31] Ohsawa Y, Benson N E, Yachida M. KeyGraph:Automatic indexing by co-occurrence graph based on building construction metaphor[C]//Research and Technology Advances in Digital Libraries, 1998.Santa Barbara:IEEE, 1998:12-18.
[32] Galligan M C, Saldova R, Campbell M P, et al. Greedy feature selection for glycan chromatography data with the generalized Dirichlet distribution[J]. BMC Bioinformatics,2013,14(1):1-25.
[33] 吴平. 3D打印技术及其未来发展趋势[J]. 印刷质量与标准化,2014(1):8-10.
[34] Miller G A. WordNet:A Lexical Database for English[J]. Communications of the ACM,1995, 38(11):39-41.
[35] Graetz N. Teaching EFL students to extract structural information from abstracts:Reading for Professional Purposes:Methods and Materials in Teaching Languages[C]//The International Symposium on Language for Special Purposes.Eindhoven:ERIC,1982.
[36] Chang Chih-Chung, Lin Chih-Jen. LIBSVM:A library for support vector machines[J]. ACM Transactions on Intelligent Systems and Technology (TIST), 2011, 2(3):389-396. |