Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2015, Article ID 235096, 6 pages
Research Article

Word Sense Disambiguation for Chinese Based on Semantics Calculation

School of Computer and Information Engineering, Anyang Normal University, Anyang, China

Received 29 October 2014; Revised 23 December 2014; Accepted 3 January 2015

Academic Editor: Chih-Cheng Hung

Copyright © 2015 Yuntong Liu and Hua Sun. 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. G. Z. Wang and X. F. Wang, “Word sense disambiguating method based on HowNet semantic relevancy computation,” Journal of Anhui University of Technology (Natural Science), vol. 25, no. 1, pp. 71–75, 2008. View at Google Scholar
  2. K. K. Deepesh, C. Jyotirmayee, and C. Alok, “Improvement in WSD by introducing enhancements in English WordNet structure,” International Journal on Computer Science and Engineering, vol. 4, no. 7, pp. 1366–1370, 2012. View at Google Scholar
  3. C. Li, A. Sun, and A. Datta, “TSDW: two-stage word sense disambiguation using Wikipedia,” Journal of the American Society for Information Science and Technology, vol. 64, no. 6, pp. 1203–1223, 2013. View at Publisher · View at Google Scholar · View at Scopus
  4. Z.-Z. Yang and H.-Y. Huang, “Graph based word sense disambiguation method using distance between words,” Journal of Software, vol. 23, no. 4, pp. 776–785, 2012. View at Publisher · View at Google Scholar · View at Scopus
  5. K. Jia, “Query expansion based on word sense disambiguation in Chinese question answering system,” Journal of Computational Information Systems, vol. 6, no. 1, pp. 181–187, 2010. View at Google Scholar · View at Scopus
  6. S. Q. Tian, T. Qiaoyan, and T. cheng, “Disambiguating method for computing relevancy based on hownet semantic knowledge,” Journal of the China Society for Scientific and Technical Information, vol. 28, no. 5, pp. 706–771, 2009. View at Google Scholar
  7. Y. T. Liu, “K-pruning algorithm for semantic relevancy calculating model of natural language,” Journal of Theoretical and Applied Information Technology, vol. 48, no. 3, pp. 231–235, 2013. View at Google Scholar · View at Scopus
  8. K. Fragos, “Modeling wordnet glosses to perform word sense disambiguation,” International Journal on Artificial Intelligence Tools, vol. 22, no. 2, Article ID 1350003, pp. 1345–1352, 2013. View at Publisher · View at Google Scholar · View at Scopus
  9. A. Minca and S. Diaconescu, “An approach to knowledge-based Word Sense Disambiguation using semantic trees built on a WordNet lexicon network,” in Proceeding of the 6th International Conference on Speech Technology and Human-Computer Dialogue (SpeD '11), pp. 1–6, May 2011. View at Publisher · View at Google Scholar · View at Scopus
  10. D. S. Suvitha and R. Janarthanan, “Enriched semantic information processing using WordNet based on semantic relation network,” in Proceedings of the International Conference on Computing, Electronics and Electrical Technologies (ICCEET '12), pp. 846–851, Kumaracoil, India, March 2012. View at Publisher · View at Google Scholar · View at Scopus
  11. Y. Liu and H. Sun, “Word sense disambiguation for the simple semantic units based on dynamic programming,” Computer Engineering and Design, vol. 4, no. 35, pp. 2939–2943, 2014. View at Google Scholar