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Computational and Mathematical Methods in Medicine
Volume 2016, Article ID 1637580, 11 pages
http://dx.doi.org/10.1155/2016/1637580
Research Article

Exploring the Unexplored: Identifying Implicit and Indirect Descriptions of Biomedical Terminologies Based on Multifaceted Weighting Combinations

Department of Library and Information Science, Kyonggi University, 154-42 Gwanggyosan-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do, Republic of Korea

Received 4 May 2016; Revised 10 August 2016; Accepted 11 August 2016

Academic Editor: Hiro Yoshida

Copyright © 2016 Sung-Pil Choi. 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. K. Kageura, The Dynamics of Terminology—A Descriptive Theory of Term. Formation and Terminological Growth, John Benjamins, 2002.
  2. J.-H. Oh and K.-S. Choi, “Machine-learning based biomedical term recognition,” Journal of KISS: Software and Appplications, vol. 33, no. 8, pp. 718–729, 2006. View at Google Scholar
  3. J. C. Sager, “Term formation,” in Handbook of Terminology Management: Basic Aspects of Terminology Management, S. E. Wright and G. Budin, Eds., pp. 25–41, John Benjamins Publishing, Amsterdam, The Netherlands, 1997. View at Google Scholar
  4. H. Liu and C. Friedman, “Mining terminological knowledge in large biomedical corpora,” Pacific Symposium on Biocomputing, vol. 8, pp. 415–426, 2003. View at Google Scholar
  5. S.-K. Song, Y.-S. Choi, H.-W. Chun, C.-H. Jeong, S.-P. Choi, and W.-K. Sung, “Multi-words terminology recognition using web search,” Communications in Computer and Information Science, vol. 264, pp. 233–238, 2011. View at Publisher · View at Google Scholar · View at Scopus
  6. S.-P. Choi and S.-H. Myaeng, “Terminological paraphrase extraction from scientific literature based on predicate argument tuples,” Journal of Information Science, vol. 38, no. 6, pp. 593–611, 2012. View at Publisher · View at Google Scholar · View at Scopus
  7. M. Karamuftuoglu, S. Jones, S. Robertson, F. Venuti, and X. Wang, “Challenges posed by web-based retrieval of scientific papers: Okapi participation in TIPS,” Journal of Information Science, vol. 28, no. 1, pp. 3–17, 2002. View at Publisher · View at Google Scholar · View at Scopus
  8. Y. Liu, Z. Shi, and A. Sarkar, “Exploiting rich syntactic information for relation extraction from biomedical articles,” in Proceedings of the NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics, pp. 97–100, Rochester, NY, USA, April 2007.
  9. S. Matos, J. P. Arrais, J. Maia-Rodrigues, and J. L. Oliveira, “Concept-based query expansion for retrieving gene related publications from MEDLINE,” BMC Bioinformatics, vol. 11, no. 1, article 212, 2010. View at Publisher · View at Google Scholar · View at Scopus
  10. J. Wu, J. X. Huang, and Z. Ye, “Learning to rank diversified results for biomedical information retrieval from multiple features,” BioMedical Engineering OnLine, vol. 13, supplement 2, article S3, 2014. View at Publisher · View at Google Scholar
  11. Z. Lu, W. Kim, and W. J. Wilbur, “Evaluation of query expansion using MeSH in PubMed,” Information Retrieval, vol. 12, no. 1, pp. 69–80, 2009. View at Publisher · View at Google Scholar · View at Scopus
  12. G. Cao, J.-Y. Nie, J. Gao, and S. Robertson, “Selecting good expansion terms for pseudo-relevance feedback,” in Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 243–250, Singapore, July 2008. View at Publisher · View at Google Scholar · View at Scopus
  13. S. Yu, D. Cai, J.-R. Wen, and W.-Y. Ma, “Improving pseudo-relevance feedback in web information retrieval using web page segmentation,” in Proceedings of the 12th International Conference on World Wide Web (WWW '03), pp. 11–18, ACM, Budapest, Hungary, May 2003. View at Publisher · View at Google Scholar · View at Scopus
  14. X. Wang, D. Lo, J. Jiang, L. Zhang, and H. Mei, “Extracting paraphrases of technical terms from noisy parallel software corpora,” in Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, pp. 197–200, Stroudsburg, Pa, USA, 2009.
  15. H. Yu, V. Hatzivassiloglou, C. Friedman, A. Rzhetsky, and W. J. Wilbur, “Automatic extraction of gene and protein synonyms from MEDLINE and journal articles,” in Proceedings of the AMIA Symposium, pp. 919–923, San Antonio, Tex, USA, 2002.
  16. M. Bada, “Mapping of biomedical text to concepts of lexicons, terminologies, and ontologies,” in Biomedical Literature Mining, V. D. Kumar and H. J. Tipney, Eds., vol. 1159 of Methods in Molecular Biology, pp. 33–45, Springer, Berlin, Germany, 2014. View at Publisher · View at Google Scholar
  17. C. Funk, W. Baumgartner Jr., B. Garcia et al., “Large-scale biomedical concept recognition: an evaluation of current automatic annotators and their parameters,” BMC Bioinformatics, vol. 15, no. 1, article 59, 2014. View at Publisher · View at Google Scholar · View at Scopus
  18. L. He, Z. Yang, H. Lin, and Y. Li, “Drug name recognition in biomedical texts: a machine-learning-based method,” Drug Discovery Today, vol. 19, no. 5, pp. 610–617, 2014. View at Publisher · View at Google Scholar · View at Scopus
  19. Y. Miyao and J. Tsujii, “Feature forest models for probabilistic HPSG parsing,” Computational Linguistics, vol. 34, no. 1, pp. 35–80, 2008. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  20. K. Cai, J. Bu, C. Chen, and K. Liu, “Exploration of term dependence in sentence retrieval,” in Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions, pp. 97–100, Prague, Czech Republic, 2007.
  21. S.-P. Choi, S.-H. Shin, H. Jung, and D. Lee, “Finding hidden relevant documents buried in scientific documents by terminological paraphrases,” Multimedia Tools and Applications, vol. 74, no. 20, pp. 8729–8743, 2015. View at Publisher · View at Google Scholar · View at Scopus