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IBM Journal of Research and Development 
Volume 48, Number 5/6, 2004
IBM Research in Asia
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Enhancing a biomedical information extraction system with dictionary mining and context disambiguation - References
by S. Mukherjea, L. V. Subramaniam, G. Chanda, S. Sankararaman, R. Kothari, V. Batra, D. Bhardwaj, and B. Srivastava

References

  1. MedLine; see http://www.ncbi.nlm.nih.gov/PubMed/.
  2. L. V. Subramaniam, S. Mukherjea, P. Kankar, B. Srivastava, V. Batra, P. Kamesam, and R. Kothari, “Information Extraction from Biomedical Literature: Methodology, Evaluation and an Application,” Proceedings of the ACM Conference on Information and Knowledge Management, New Orleans, 2003, pp. 410–417.
  3. UMLS; see http://umlsks.nlm.nih.gov/.
  4. LocusLink; see http://www.ncbi.nlm.nih.gov/locuslink/.
  5. Proceedings of the Sixth Message Understanding Conference (MUC), Columbia, MD; Morgan Kaufmann Publishers, 1995.
  6. K. Humphreys, G. Demetriou, and R. Gaizauskas, “Two Applications of Information Extraction to Biological Science: Enzyme Interactions and Protein Structures,” Proceedings of the Pacific Symposium on Biocomputing, Hawaii, 2000, pp. 502–513.
  7. K. Fukuda, T. Tsunoda, A. Tamura, and T. Takagi, “Toward Information Extraction: Identifying Protein Names from Biological Papers,” Proceedings of the Pacific Symposium on Biocomputing, Hawaii, 1998, pp. 707–718.
  8. R. Gaizauskas, G. Demetriou, and K. Humphreys, “Term Recognition and Classification in Biological Science Journal Articles,” Proceedings of the Computational Terminology for Medical and Biological Applications: Workshop of the 2nd International Conference on Natural Language Processing, Patras, Greece, 1998, pp. 37–44.
  9. N. Collier, C. Nobata, and J. Tsujii, “Extracting the Names of Genes and Gene Products with a Hidden Markov Model,” Proceedings of the 18th International Conference on Computational Linguistics, Saarbrucken, Germany, 2000, pp. 201–207.
  10. M. Andrade and A. Valencia, “Automatic Extraction of Keywords from Scientific Text: Application to the Knowledge Domain of Protein Families,” BioInform. 4, No. 7, 600–607 (1998).
  11. Y. Park, “Identification of Probable Real Words: An Entropy-based Approach,” Proceedings of the Association for Computational Linguistics (ACL-02) Workshop on Unsupervised Lexical Acquisition, Saarbrucken, Germany, 2002, pp. 1–8.
  12. L. Hirshman, J. C. Park, J. Tsujii, L. Wong, and C. H. Wu, “Accomplishments and Challenges in Literature Data Mining for Biology,” BioInform. Rev. 18, No. 12, 1553–1561 (2002).
  13. C. Nobata, N. Collier, and J. Tsujii, “Automatic Term Identification and Classification,” Proceedings of the 5th Natural Language Processing Pacific Rim Symposium, Beijing, China, 1999, pp. 369–374.
  14. D. Yarowsky, “Unsupervised Word Sense Disambiguation Rivaling Supervised Methods,” Proceedings of the 33rd Annual Meeting of the Association for Computational Linguistics, Cambridge, MA, 1995, pp. 189–196.
  15. V. Hatzivassiloglou, P. A. Duboue, and A. Rzhetsky, “Disambiguating Proteins, Genes, and RNA in Text: A Machine Learning Approach,” Bioinform. 1, No. 1, 1–10 (2001).
  16. P. Resnik and D. Yarowsky, “A Perspective on Word Sense Disambiguation Methods and Their Evaluation,” Proceedings of the Association for Computational Linguistics (ACL/SIGLEX) Workshop, Washington, DC, 1997, pp. 79–87.
  17. P. Zweigenbaum and N. Grabar, “A Contribution of Medical Terminology to Medical Language Processing Resources: Experiments in Morphological Knowledge Acquisition from Thesauri,” Proceedings of the International Medical Information Association (IMIA-WG6) Conference, 1999, pp. 131–141.
  18. Genia Corpus; see http://www-tsujii.is.s.u-tokyo.ac.jp/~genia/topics/Corpus/.
  19. E. Fredkin, “TRIE Memory,” Commun. ACM 3, 490–500 (1960).
  20. A. W. Gale, K. W. Church, and D. Yarowsky, “One Sense Per Discourse,” Proceedings of the DARPA Speech and Natural Language Workshop, Harriman, NY, 1992, pp. 233–237.
  21. J. Thomas, D. Milnard, C. Ouzounis, S. Pulman, and M. Carroll, “Automatic Extraction of Protein Interactions from Scientific Abstracts,” Proceedings of the Pacific Symposium on Biocomputing, Hawaii, 2000, pp. 541–551.
  22. A. Bairoch and R. Apweiler, “The SWISS-PROT Protein Sequence Databank and Its New Supplement TrEMBL,Nucleic Acids Res. 25, 31–36 (1997).
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