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International Journal of Digital Multimedia Broadcasting
Volume 2017, Article ID 8594863, 5 pages
Research Article

Prior Knowledge-Based Event Network for Chinese Text

1School of Electronic & Electric Engineering, Shanghai University of Engineering Science, 333 Longteng Road, Songjiang District, Shanghai, China
2School of Information, Qilu University of Technology, 3501 Daxue Road, Changqing District, Jinan, China

Correspondence should be addressed to Jianfang Shan; moc.361@nahsfjs

Received 13 January 2017; Accepted 7 May 2017; Published 4 June 2017

Academic Editor: Hyo-Jong Lee

Copyright © 2017 Yunyu Shi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. P. Yun-he and W. Geng, “An introduction to intelligent-computing oriented memory theory,” Journal of Computer Research and Development, vol. 31, pp. 37–42, 1999. View at Google Scholar
  2. L. Zhong, The theory of BSCM presented and the implementing of the natural language understanding studied, East China Normal University, 2004.
  3. R. Baeza-Yates and B. Ribeiro-Neto, Modern Information Retrieval, Addison-Wesley-Longman, 1st edition, 1999.
  4. G. Salton, A. Wong, and C. S. Yang, “A Vector Space Model for Automatic Indexing,” Communications of the ACM, vol. 18, no. 11, pp. 613–620, 1975. View at Publisher · View at Google Scholar · View at Scopus
  5. D. D. Lewis, “Evaluation of phrasal and clustered representations on a text categorization task [A],” in Proceedings of the Fifteenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 37–50, 1992.
  6. Bag-of-words model [DB/OL],
  7. T. K. Landauer and M. L. Littman, “Fully automatic crosslanguage document retrieval using latent semantic indexing,” in Proceedings of the Sixth Annual Conference of the UW Centre for the New Oxford English Dictionary and Text Research, pp. 31–38, Waterloo Ontario, 1990,
  8. M. David and Y. Blei Andrew, “Latent Dirichlet allocation,” Journal of Machine Learning Research, vol. 3, pp. 993–1022, 2003. View at Google Scholar
  9. T. Chew Lim, S. Sung Yuan, Y. Zhaohui et al., Text Retrieval from Document Images Based on N-Gram Algorithm,
  10. J. Ponte and W. Croft, “Language Modeling Approach to Information Retrieval,” in Proceedings of SIGIR1998', pp. 275–281.
  11. J.-F. Shan, Z.-T. Liu, J.-F. Fu, and Z.-M. Zhong, “Important event extraction of Chinese document based on small world model,” in Proceedings of 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009, pp. 146–150, chn, November 2009. View at Publisher · View at Google Scholar · View at Scopus
  12. A. Feng, Events Threading, University of Massachusetts, 2008.
  13. G. Glavaš and J. Šnajder, “Event graphs for information retrieval and multi-document summarization,” Expert Systems with Applications, vol. 41, no. 15, pp. 6904–6916, 2014. View at Publisher · View at Google Scholar · View at Scopus
  14. Z. Zhao-Man and L. Zong-Tian, “Events-based Text Similarity Computing,” Journal of Guangxi Normal University (Natural Science Edition), vol. 27, no. 1, pp. 149–152, 2009. View at Google Scholar
  15. Sh. Jian-fang and Sh. Yun-yu, “Research on event network for Chinese text,” in Proceeding of the Interna-tional Symposium on Information Technology Convergence, ISITC2016, pp. 473–482, Shanghai, China, 2016.
  16. M. Okamoto and M. Kikuchi, “Discovering volatile events in your neighborhood: Local-area topic extraction from blog entries,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5839, pp. 181–192, 2009. View at Publisher · View at Google Scholar · View at Scopus
  17. E. Minkov, “Event extraction using structured learning and rich domain knowledge: Application across domains and data sources,” ACM Transactions on Intelligent Systems and Technology, vol. 7, no. 2, article no. 16, 2015. View at Publisher · View at Google Scholar · View at Scopus
  18. S. Kuptabut and P. Netisopakul, “Event extraction using ontology directed semantic grammar,” Journal of Information Science and Engineering, vol. 32, no. 1, pp. 79–96, 2016. View at Google Scholar · View at Scopus
  19. Y. Li-ying, L. Hong-juan, and Z. Yong-kui, “The research on classification system of emergency news corpus,” in Proceeding of the monograph of the 25th academic annual conference of Chinese Informatics Association, frontier of Chinese information processing, Tsinghua University Press, Beijing, 2006.